Acute-onset quadriplegia with hyperreflexia

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Acute-onset quadriplegia with hyperreflexia

A 79-year-old man presented with sudden-onset bilateral weakness in the lower and upper extremities that had started 6 hours earlier. He reported no vision disturbances or urinary incontinence. He was afebrile, with a blood pressure of 148/94 mm Hg, heart rate 98 bpm, and oxygen saturation of 95% on room air.

Physical examination revealed quadriplegia with hyperreflexia, sustained ankle clonus, and bilateral Babinski reflex, as well as spontaneous adductor and extensor spasms of the lower extremities.

Funduscopy was negative for optic neuritis. Results of a complete blood cell count and renal and liver function testing were within normal limits.

Figure 1. MRI of the cervical spine without contrast showed abnormal diffuse T2 hyperintensity beginning at the level of the medulla (solid arrow) and extending inferiorly to the level of C7 (open arrow).
Figure 1. Magnetic resonance imaging of the cervical spine without contrast showed abnormal diffuse T2 hyperintensity beginning at the level of the medulla (solid arrow) and extending inferiorly to the level of C7 (open arrow).
Because the patient’s presentation raised concern for cervical cord compression, urgent magnetic resonance imaging (MRI) of the cervical spine was performed, with and without contrast. It showed abnormal diffuse T2 hyperintensity beginning at the level of the medulla and extending inferiorly to level C7 (Figure 1). This led to a diagnosis of longitudinally extensive transverse myelitis (LETM).

The patient was admitted to the intensive care unit. Methylprednisolone 1 g was given intravenously once daily for 5 days, with plasma exchange every other day for 5 sessions. A workup for neoplastic, autoimmune, and infectious disease was negative, as was testing for serum aquaporin-4 antibody (ie, neuromyelitis optica immunoglobulin G antibody).

Over the course of 7 days, the patient’s motor strength improved, and he was able to walk without assistance. Steroid therapy was tapered, and he was prescribed rituximab to prevent recurrence.

LONGITUDINALLY EXTENSIVE TRANSVERSE MYELITIS

A subtype of transverse myelitis, LETM is defined by partial or complete spinal cord dysfunction due to a lesion extending 3 or more vertebrae as confirmed on MRI. The clinical presentation can include paraparesis, sensory disturbances, and gait, bladder, bowel, or sexual dysfunction.1 Identifying the cause requires an extensive workup, as the differential diagnosis includes a wide range of conditions2:

  • Autoimmune disorders such as Behçet disease, systemic lupus erythematosus, and Sjögren syndrome
  • Infectious disorders such as syphilis, tuberculosis, and viral and parasitic infections
  • Demyelinating disorders such as multiple sclerosis and neuromyelitis optica
  • Neoplastic conditions such as intramedullary metastasis and lymphoma
  • Paraneoplastic syndromes.

In our patient, the evaluation did not identify a specific underlying condition, and testing for serum aquaporin-4 antibody was negative. Therefore, the LETM was ruled an isolated idiopathic episode.

Idiopathic seronegative LETM has been associated with fewer recurrences than sero­positive LETM.3 Management consists of high-dose intravenous steroids and plasma exchange. Rituximab can be used to prevent recurrence.4

References
  1. Trebst C, Raab P, Voss EV, et al. Longitudinal extensive transverse myelitis—it’s not all neuromyelitis optica. Nat Rev Neurol 2011; 7(12):688–698. doi:10.1038/nrneurol.2011.176
  2. Kim SM, Kim SJ, Lee HJ, Kuroda H, Palace J, Fujihara K. Differential diagnosis of neuromyelitis optica spectrum disorders. Ther Adv Neurol Disord 2017; 10(7):265–289. doi:10.1177/1756285617709723
  3. Kitley J, Leite MI, Küker W, et al. Longitudinally extensive transverse myelitis with and without aquaporin 4 antibodies. JAMA Neurol 2013; 70(11):1375–1381. doi:10.1001/jamaneurol.2013.3890
  4. Tobin WO, Weinshenker BG, Lucchinetti CF. Longitudinally extensive transverse myelitis. Curr Opin Neurol 2014; 27(3):279–289. doi:10.1097/WCO.0000000000000093
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Nasreen Shaikh, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Muhammad Sardar, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Wahab Khan, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Wael Ghali, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Address: Nasreen Shaikh, MD, Department of Internal Medicine, Monmouth Medical Center, 300 Second Avenue, Long Branch, NJ 07740; [email protected]

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quadriplegia, hyperreflexia, clonus, spinal cord, Babinski, magnetic resonance imaging, MRI, neck, transverse myelitis, longitudinally extensive transverse myelitis, LETM, Nasreen Shaikh, Muhammad Sardar, Wahab Khan, Wael Ghali
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Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Muhammad Sardar, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Wahab Khan, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Wael Ghali, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Address: Nasreen Shaikh, MD, Department of Internal Medicine, Monmouth Medical Center, 300 Second Avenue, Long Branch, NJ 07740; [email protected]

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Nasreen Shaikh, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Muhammad Sardar, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Wahab Khan, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Wael Ghali, MD
Department of Internal Medicine, Monmouth Medical Center, Long Branch, NJ

Address: Nasreen Shaikh, MD, Department of Internal Medicine, Monmouth Medical Center, 300 Second Avenue, Long Branch, NJ 07740; [email protected]

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A 79-year-old man presented with sudden-onset bilateral weakness in the lower and upper extremities that had started 6 hours earlier. He reported no vision disturbances or urinary incontinence. He was afebrile, with a blood pressure of 148/94 mm Hg, heart rate 98 bpm, and oxygen saturation of 95% on room air.

Physical examination revealed quadriplegia with hyperreflexia, sustained ankle clonus, and bilateral Babinski reflex, as well as spontaneous adductor and extensor spasms of the lower extremities.

Funduscopy was negative for optic neuritis. Results of a complete blood cell count and renal and liver function testing were within normal limits.

Figure 1. MRI of the cervical spine without contrast showed abnormal diffuse T2 hyperintensity beginning at the level of the medulla (solid arrow) and extending inferiorly to the level of C7 (open arrow).
Figure 1. Magnetic resonance imaging of the cervical spine without contrast showed abnormal diffuse T2 hyperintensity beginning at the level of the medulla (solid arrow) and extending inferiorly to the level of C7 (open arrow).
Because the patient’s presentation raised concern for cervical cord compression, urgent magnetic resonance imaging (MRI) of the cervical spine was performed, with and without contrast. It showed abnormal diffuse T2 hyperintensity beginning at the level of the medulla and extending inferiorly to level C7 (Figure 1). This led to a diagnosis of longitudinally extensive transverse myelitis (LETM).

The patient was admitted to the intensive care unit. Methylprednisolone 1 g was given intravenously once daily for 5 days, with plasma exchange every other day for 5 sessions. A workup for neoplastic, autoimmune, and infectious disease was negative, as was testing for serum aquaporin-4 antibody (ie, neuromyelitis optica immunoglobulin G antibody).

Over the course of 7 days, the patient’s motor strength improved, and he was able to walk without assistance. Steroid therapy was tapered, and he was prescribed rituximab to prevent recurrence.

LONGITUDINALLY EXTENSIVE TRANSVERSE MYELITIS

A subtype of transverse myelitis, LETM is defined by partial or complete spinal cord dysfunction due to a lesion extending 3 or more vertebrae as confirmed on MRI. The clinical presentation can include paraparesis, sensory disturbances, and gait, bladder, bowel, or sexual dysfunction.1 Identifying the cause requires an extensive workup, as the differential diagnosis includes a wide range of conditions2:

  • Autoimmune disorders such as Behçet disease, systemic lupus erythematosus, and Sjögren syndrome
  • Infectious disorders such as syphilis, tuberculosis, and viral and parasitic infections
  • Demyelinating disorders such as multiple sclerosis and neuromyelitis optica
  • Neoplastic conditions such as intramedullary metastasis and lymphoma
  • Paraneoplastic syndromes.

In our patient, the evaluation did not identify a specific underlying condition, and testing for serum aquaporin-4 antibody was negative. Therefore, the LETM was ruled an isolated idiopathic episode.

Idiopathic seronegative LETM has been associated with fewer recurrences than sero­positive LETM.3 Management consists of high-dose intravenous steroids and plasma exchange. Rituximab can be used to prevent recurrence.4

A 79-year-old man presented with sudden-onset bilateral weakness in the lower and upper extremities that had started 6 hours earlier. He reported no vision disturbances or urinary incontinence. He was afebrile, with a blood pressure of 148/94 mm Hg, heart rate 98 bpm, and oxygen saturation of 95% on room air.

Physical examination revealed quadriplegia with hyperreflexia, sustained ankle clonus, and bilateral Babinski reflex, as well as spontaneous adductor and extensor spasms of the lower extremities.

Funduscopy was negative for optic neuritis. Results of a complete blood cell count and renal and liver function testing were within normal limits.

Figure 1. MRI of the cervical spine without contrast showed abnormal diffuse T2 hyperintensity beginning at the level of the medulla (solid arrow) and extending inferiorly to the level of C7 (open arrow).
Figure 1. Magnetic resonance imaging of the cervical spine without contrast showed abnormal diffuse T2 hyperintensity beginning at the level of the medulla (solid arrow) and extending inferiorly to the level of C7 (open arrow).
Because the patient’s presentation raised concern for cervical cord compression, urgent magnetic resonance imaging (MRI) of the cervical spine was performed, with and without contrast. It showed abnormal diffuse T2 hyperintensity beginning at the level of the medulla and extending inferiorly to level C7 (Figure 1). This led to a diagnosis of longitudinally extensive transverse myelitis (LETM).

The patient was admitted to the intensive care unit. Methylprednisolone 1 g was given intravenously once daily for 5 days, with plasma exchange every other day for 5 sessions. A workup for neoplastic, autoimmune, and infectious disease was negative, as was testing for serum aquaporin-4 antibody (ie, neuromyelitis optica immunoglobulin G antibody).

Over the course of 7 days, the patient’s motor strength improved, and he was able to walk without assistance. Steroid therapy was tapered, and he was prescribed rituximab to prevent recurrence.

LONGITUDINALLY EXTENSIVE TRANSVERSE MYELITIS

A subtype of transverse myelitis, LETM is defined by partial or complete spinal cord dysfunction due to a lesion extending 3 or more vertebrae as confirmed on MRI. The clinical presentation can include paraparesis, sensory disturbances, and gait, bladder, bowel, or sexual dysfunction.1 Identifying the cause requires an extensive workup, as the differential diagnosis includes a wide range of conditions2:

  • Autoimmune disorders such as Behçet disease, systemic lupus erythematosus, and Sjögren syndrome
  • Infectious disorders such as syphilis, tuberculosis, and viral and parasitic infections
  • Demyelinating disorders such as multiple sclerosis and neuromyelitis optica
  • Neoplastic conditions such as intramedullary metastasis and lymphoma
  • Paraneoplastic syndromes.

In our patient, the evaluation did not identify a specific underlying condition, and testing for serum aquaporin-4 antibody was negative. Therefore, the LETM was ruled an isolated idiopathic episode.

Idiopathic seronegative LETM has been associated with fewer recurrences than sero­positive LETM.3 Management consists of high-dose intravenous steroids and plasma exchange. Rituximab can be used to prevent recurrence.4

References
  1. Trebst C, Raab P, Voss EV, et al. Longitudinal extensive transverse myelitis—it’s not all neuromyelitis optica. Nat Rev Neurol 2011; 7(12):688–698. doi:10.1038/nrneurol.2011.176
  2. Kim SM, Kim SJ, Lee HJ, Kuroda H, Palace J, Fujihara K. Differential diagnosis of neuromyelitis optica spectrum disorders. Ther Adv Neurol Disord 2017; 10(7):265–289. doi:10.1177/1756285617709723
  3. Kitley J, Leite MI, Küker W, et al. Longitudinally extensive transverse myelitis with and without aquaporin 4 antibodies. JAMA Neurol 2013; 70(11):1375–1381. doi:10.1001/jamaneurol.2013.3890
  4. Tobin WO, Weinshenker BG, Lucchinetti CF. Longitudinally extensive transverse myelitis. Curr Opin Neurol 2014; 27(3):279–289. doi:10.1097/WCO.0000000000000093
References
  1. Trebst C, Raab P, Voss EV, et al. Longitudinal extensive transverse myelitis—it’s not all neuromyelitis optica. Nat Rev Neurol 2011; 7(12):688–698. doi:10.1038/nrneurol.2011.176
  2. Kim SM, Kim SJ, Lee HJ, Kuroda H, Palace J, Fujihara K. Differential diagnosis of neuromyelitis optica spectrum disorders. Ther Adv Neurol Disord 2017; 10(7):265–289. doi:10.1177/1756285617709723
  3. Kitley J, Leite MI, Küker W, et al. Longitudinally extensive transverse myelitis with and without aquaporin 4 antibodies. JAMA Neurol 2013; 70(11):1375–1381. doi:10.1001/jamaneurol.2013.3890
  4. Tobin WO, Weinshenker BG, Lucchinetti CF. Longitudinally extensive transverse myelitis. Curr Opin Neurol 2014; 27(3):279–289. doi:10.1097/WCO.0000000000000093
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quadriplegia, hyperreflexia, clonus, spinal cord, Babinski, magnetic resonance imaging, MRI, neck, transverse myelitis, longitudinally extensive transverse myelitis, LETM, Nasreen Shaikh, Muhammad Sardar, Wahab Khan, Wael Ghali
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quadriplegia, hyperreflexia, clonus, spinal cord, Babinski, magnetic resonance imaging, MRI, neck, transverse myelitis, longitudinally extensive transverse myelitis, LETM, Nasreen Shaikh, Muhammad Sardar, Wahab Khan, Wael Ghali
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Can lifestyle modifications delay or prevent Alzheimer’s disease?

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Can lifestyle modifications delay or prevent Alzheimer’s disease?

Clinicians have devoted strenuous efforts to secondary prevention of Alzheimer’s disease (AD) by diagnosing and treating patients as early as possible. Unfortunately, there is no cure for AD, and the field has witnessed recurrent failures of several pharmacotherapy candidates with either symptomatic or disease-modifying properties.1 An estimated one-third of AD cases can be attributed to modifiable risk factors.2 Thus, implementing primary prevention measures by addressing modifiable risk factors thought to contribute to the disease, with the goal of reducing the risk of developing AD, or at least delaying its onset, is a crucial public health strategy.

Cardiovascular risk factors, such as hypertension, hyperlipidemia, diabetes, hyperhomocysteinemia, obesity, and smoking, have emerged as substantive risk factors for AD.3 Optimal management of these major risk factors, especially in mid-life, may be a preventive approach against AD. Although detailing the evidence on the impact of managing cardiovascular risk factors to delay or prevent AD is beyond the scope of this article, it is becoming clear that “what is good for the heart is good for the brain.”

Additional modifiable risk factors are related to lifestyle habits, such as physical exercise, mental and social activity, meditation/spiritual activity, and diet. This article reviews the importance of pursuing a healthy lifestyle in delaying AD, with the corresponding levels of evidence that support each specific lifestyle modification. The levels of evidence are defined in Table 1.4

Practice guidelines levels of evidence

Physical exercise

Twenty-one percent of AD cases in the United States are attributable to physical inactivity.5 In addition to its beneficial effect on metabolic syndrome, in animal and human research, regular exercise has been shown to have direct neuroprotective effects. High levels of physical activity increase hippocampal neurogenesis and neuroplasticity, increase vascular circulation in the brain regions implicated in AD, and modulate inflammatory mediators as well as brain growth factors such as brain-derived neurotrophic factor (BDNF) and insulin-like growth factor-1 (IGF-1).6

 

The definition of regular physical exercise varies across the literature, but usually implies aerobic exercise—an ongoing activity sufficient to increase the heart rate and the need for oxygen, sustained for 20 to 30 minutes per session.7 Modalities include household activities and leisure-time activities. In a large prospective cohort study, Scarmeas et al8 categorized leisure-time activities into 3 types:

  • light (walking, dancing, calisthenics, golfing, bowling, gardening, horseback riding)
  • moderate (bicycling, swimming, hiking, playing tennis)
  • vigorous (aerobic dancing, jogging, playing handball).

These types of physical exercise were weighed by the frequency of participation per week. Compared with being physically inactive, low levels of weekly physical activity (0.1 hours of vigorous, 0.8 hours of moderate, or 1.3 hours of light exercise) were associated with a 29% to 41% lower risk of developing AD, while higher weekly physical activity (1.3 hours of vigorous, 2.3 hours of moderate, or 3.8 hours of light exercise) were associated with a 37% to 50% lower risk (level III).8

In another 20-year cohort study, engaging in leisure-time physical activity at least twice a week in mid-life was significantly associated with a reduced risk of AD, after adjusting for age, sex, education, follow-up time, locomotor disorders, apolipoprotein E (ApoE) genotype, vascular disorders, smoking, and alcohol intake (level III).9 Moreover, a systematic review of 29 randomized controlled trials (RCTs) showed that aerobic exercise training, such as brisk walking, jogging, and biking, was associated with improvements in attention, processing speed, executive function, and memory among healthy older adults and those with mild cognitive impairment (MCI; level IA).10

Continue to: From a pathophysiological standpoint...

 

 

From a pathophysiological standpoint, higher levels of physical exercise in cognitively intact older adults have been associated with reduced brain amyloid beta deposits, especially in ApoE4 carriers.11 This inverse relationship also has been demonstrated in patients who are presymptomatic who carry 1 of the 3 known autosomal dominant mutations for the familial forms of AD.12

Overall, physicians should recommend that patients—especially those with cardiovascular risk factors that increase their risk for AD—exercise regularly by following the guidelines of the American Heart Association or the American College of Sports Medicine.13 These include muscle-strengthening activities (legs, hips, back, abdomen, shoulders, and arms) at least 2 days/week, in addition to either 30 minutes/day of moderate-intensity aerobic activity such as brisk walking, 5 days/week; or 25 minutes of vigorous aerobic activity such as jogging and running, 3 days/week14 (level IA evidence for overall improvement in cognitive function; level III evidence for AD delay/risk reduction). Neuromotor exercise, such as yoga and tai chi, and flexibility exercise such as muscle stretching, especially after a hot bath, 2 to 3 days/week are also recommended (level III).15

Mental activity

Nineteen percent of AD cases worldwide and 7% in the United States. can be attributed to low educational attainment, which is associated with low brain cognitive reserve.5 Cognitive resilience in later life may be enhanced by building brain reserves through intellectual stimulation, which affects neuronal branching and plasticity.16 Higher levels of complex mental activities measured across the lifespan, such as education, occupation, reading, and writing, are correlated with significantly less hippocampal volume shrinkage over time.17 Frequent participation in mentally stimulating activities—such as listening to the radio; reading newspapers, magazines, or books; playing games (cards, checkers, crosswords or other puzzles); and visiting museums—was associated with an up to 64% reduction in the odds of developing AD in a cohort of cognitively intact older adults followed for 4 years.18 The correlation between mental activity and AD was found to be independent of physical activity, social activity, or baseline cognitive function.19

In a large cohort of cognitively intact older adults (mean age 70), engaging in a mentally stimulating activity (craft activities, computer use, or going to the theater/movies) once to twice a week was significantly associated with a reduced incidence of amnestic MCI.20 Another prospective 21-year study demonstrated a significant reduction in AD risk in community-dwelling cognitively intact older adults (age 75 to 85) who participated in cognitively stimulating activities, such as reading books or newspapers, writing for pleasure, doing crossword puzzles, playing board games or cards, or playing musical instruments, several times/week.21

Growing scientific evidence also suggests that lifelong multilingualism can delay AD onset by 4 to 5 years.22 Multilingualism is associated with greater cognitive reserve, gray matter volume, functional connectivity and white matter density.23

Continue to: Physicians should encourage their patients...

 

 

Physicians should encourage their patients to engage in intellectually stimulating activities and creative leisure-time activities several times/week to enhance their cognitive reserves and delay AD onset (level III evidence with respect to AD risk reduction/delay).

Social activity

Social engagement may be an additional protective factor against AD. In a large 4-year prospective study, increased loneliness in cognitively intact older adults doubled the risk of AD.24 Data from the large French cohort PAQUID (Personnes Agées QUID) emphasized the importance of a patient’s social network as a protective factor against AD. In this cohort, the perception of reciprocity in relationships with others (the perception that a person had received more than he or she had given) was associated with a 53% reduction in AD risk (level III).25 In another longitudinal cohort study, social activity was found to decrease the incidence of subjective cognitive decline, which is a prodromal syndrome for MCI and AD (level III).26

A major confounder in studies assessing for social activity is the uncertainty if social withdrawal is a modifiable risk factor or an early manifestation of AD, since apathetic patients with AD tend to be socially withdrawn.27 Another limitation of measuring the impact of social activity relative to AD risk is the difficulty in isolating social activities from activities that have physical and mental activity components, such as leisure-time activities.28

 

Meditation/spiritual activity

Chronic psychological stress is believed to compromise limbic structures that regulate stress-related behaviors and the memory network, which might explain how being prone to psychological distress may be associated with MCI or AD.29 Cognitive stress may increase the oxidative stress and telomere shortening implicated in the neuro­degenerative processes of AD.30 In one study, participants who were highly prone to psychological distress were found to be at 3 times increased risk for developing AD, after adjusting for depression symptoms and physical and mental activities (level III).31 By reducing chronic psychological stress, meditation techniques offer a promising preventive option against AD.

Mindfulness-based interventions (MBI) have gained increased attention in the past decade. They entail directing one’s attention towards the present moment, thereby decreasing ruminative thoughts and stress arousal.32 Recent RCTs have shown that MBI may promote brain health in older adults not only by improving psychological well-being but also by improving attentional control33 and functional connectivity in brain regions implicated in executive functioning,34 as well as by modulating inflammatory processes implicated in AD.35 Furthermore, an RCT of patients diagnosed with MCI found that compared with memory enhancement training, a weekly 60-minute yoga session improved memory and executive functioning.36

Continue to: Kirtan Kriya is a medication technique...

 

 

Kirtan Kriya is a meditation technique that is easy to learn and practice by older adults and can improve memory in patients at risk for developing AD.37 However, more rigorous RCTs conducted in larger samples of older adults are needed to better evaluate the effect of all meditation techniques for delaying or preventing AD (level IB with respect to improvement in cognitive functioning/level III for AD delay/risk reduction).38

Spiritual activities, such as going to places of worship or religious meditation, have been associated with a lower prevalence of AD. Attending religious services, gatherings, or retreats involves a social component because these activities often are practiced in groups. They also confer a method of dealing with psychological distress and depression. Additionally, frequent readings of religious texts represents a mentally stimulating activity that may also contribute to delaying/preventing AD (level III).39

Diet

In the past decade, a growing body of evidence has linked diet to cognition. Individuals with a higher intake of calories and fat are at higher risk for developing AD.40 The incidence of AD rose in Japan after the country transitioned to a more Westernized diet.41 A modern Western diet rich in saturated fatty acids and simple carbohydrates may negatively impact hippocampus-mediated functions such as memory and learning, and is associated with an increased risk of AD.42 In contrast with high-glycemic and fatty diets, a “healthy diet” is associated with a decrease in beta-amyloid burden, inflammation, and oxidative stress.43,44

Studies focusing on dietary patterns rather than a single nutrient for delaying or preventing AD have yielded more robust and consistent results.45 In a recent meta-analysis, adhering to a Mediterranean diet—which is rich in fruits and vegetables, whole grains, olive oil, and fish; moderate in some dairy products and wine; and low in red meat—was associated with a decreased risk of AD; this evidence was derived mostly from epidemiologic studies.46 Scarmeas et al8 found that high adherence to the Mediterranean diet was associated with 32% to 40% reduced risk of AD. Combining this diet with physical exercise was associated with an up to 67% reduced risk (level III). The Dietary Approaches to Stop Hypertension (DASH) diet, which is rich in total grains, fruits, vegetables, and dairy products, but low in sodium and sweets, correlated with neuro­cognitive improvement in patients with hypertension.47 Both the Mediterranean and DASH diets have been associated with better cognitive function48 and slower cognitive decline.49 Thus, an attempt to combine the neuroprotective components from both diets led to the creation of the MIND (Mediterranean-DASH Intervention for Neurodegenerative Delay) diet, which also has been associated with a lower incidence of AD.50

Besides specific diets, some food groups have also been found to promote brain health and may help delay or prevent AD. Berries have the highest amount of antioxidants of all fruit. Among vegetables, tomatoes and green leafy vegetables have the highest amount of nutrients for the brain. Nuts, such as walnuts, which are rich in omega-3 fatty acids, are also considered “power foods” for the brain; however, they should be consumed in moderation because they are also rich in fat. Monounsaturated fatty acids, which are found in olives and olive oil, are also beneficial for the brain. Among the 3 types of omega-3 fatty acids, the most important for cognition is docosahexaenoic acid (DHA) because it constitutes 40% of all fatty acids in the brain. Mainly found in oily fish, DHA has antioxidant and anti-inflammatory properties that may delay or prevent AD. Low levels of DHA have been found in patients with AD.51

Continue to: Curcumin, which is derived from...

 

 

Curcumin, which is derived from the curry spice turmeric, is a polyphenol with anti-inflammatory, antioxidant, and anti-amyloid properties that may have a promising role in preventing AD in cognitively intact individuals. Initial trials with curcumin have yielded mixed results on cognition, which was partly related to the low solubility and bioavailability of its formulation.52 However, a recent 18-month double-blind randomized placebo-controlled trial found positive effects on memory and attention, as well as reduction of amyloid plaques and tau tangles deposition in the brain, in non-demented older adults age 51 to 84 who took Theracumin, a highly absorptive oral form of curcumin dispersed with colloidal nanoparticles.53 A longer follow-up is required to determine if curcumin can delay or prevent AD.

Alcohol

The role of alcohol in AD prevention is controversial. Overall, data from prospective studies has shown that low to moderate alcohol consumption may be associated with a reduced risk of AD (level III).54 Alcohol drinking in mid-life showed a U-shaped relationship with cognitive impairment; both abstainers and heavy drinkers had an increased risk of cognitive decline compared with light to moderate drinkers (level III).55 Binge drinking significantly increased the odds of cognitive decline, even after controlling for total alcohol consumption per week.55

The definition of low-to-moderate drinking varies substantially among countries. In addition, the size and amount of alcohol contained in a standard drink may differ.56 According to the National Institute on Alcohol Abuse and Alcoholism (NIAAA),57 moderate drinking is defined as up to 1 drink daily for women and 2 drinks daily for men. Binge drinking involves drinking >4 drinks for women and >5 drinks for men, in approximately 2 hours, at least monthly. In the United States, one standard drink contains 14 grams of pure alcohol, which is usually found in 12 ounces of regular beer, 5 ounces of wine, and 1.5 ounces of distilled spirits (vodka or whiskey).58

In a 5-year prospective Canadian study, having 1 drink weekly (especially wine) was associated with an up to 50% reduced risk of AD (level III).59 In the French cohort PAQUID, mild drinkers (<1 to 2 drinks/day) and moderate drinkers (3 to 4 drinks daily) had a reduced incidence of AD compared with non-drinkers. Wine was the most frequently consumed beverage in this study.60 Other studies have found cognitive benefits from mild to moderate drinking regardless of beverage type.54 However, a recent study that included a 30-year follow-up failed to find a significant protective effect of light drinking over abstinence in terms of hippocampal atrophy.61 Atrophy of the hippocampus was correlated with increasing alcohol amounts in a dose-dependent manner, starting at 7 to 14 drinks/week (level III).61

Research has shown that moderate and heavy alcohol use or misuse can directly induce microglial activation and inflammatory mediators’ release, which induce amyloid beta pathology and leads to brain atrophy.62 Hence, non-drinkers should not be advised to begin drinking, because of the lack of RCTs and the concern that beginning to drink may lead to heavy drinking. All drinkers should be advised to adhere to the NIAAA recommendations.13

Continue to: Coffee/tea

 

 

Coffee/tea

Although studies of caffeinated coffee have been heterogeneous and yielded mixed results (beneficial effect vs no effect on delaying cognitive decline), systematic reviews and meta-analyses of cross-sectional, case-control, and longitudinal cohort studies have found a general trend towards a favorable preventive role (level III).63-65 Caffeine exhibits its neuroprotective effect by increasing brain serotonin and acetylcholine, and by stabilizing blood-brain-barrier integrity.66 Moreover, in an animal study, mice given caffeine in their drinking water from young adulthood into older age had lower amyloid beta plasma levels compared with those given decaffeinated water.67 These findings suggest that in humans, 5 cups of regular caffeinated coffee daily, equivalent to 500 mg of caffeine, could be protective against cognitive impairment. Other caffeinated beverages, such as tea or soft drinks, contain up to 4 times less caffeine per serving; many more servings would therefore be required to reach the target amount of 500 mg/d of caffeine.67 Data from the Cardiovascular Risk Factors, Aging and Dementia (CAIDE) study demonstrate a 65% reduced risk of dementia/AD in individuals who consumed 3 to 5 cups of regular coffee daily in mid-life.68

An Italian study showed that older adults who don’t or rarely drink coffee (<1 cup daily) and those who recently increased their consumption pattern to >1 cup daily had a higher incidence of MCI than those who habitually consumed 1 to 2 cups daily.69 Therefore, it is not recommended to advise a change in coffee drinking pattern in old age. Older adults who are coffee drinkers should, however, be educated about the association between heavier caffeine intake and anxiety, insomnia, and cardiac arrhythmias.70

Despite its more modest caffeine levels, green tea is rich in polyphenols, which belong to the family of catechins and are characterized by antioxidant and anti-inflammatory properties.71 In a Japanese cohort, higher green tea consumption (up to 1 cup daily) was associated with a decreased incidence of MCI in older adults.72 More studies are needed to confirm its potential preventative role in AD.

 

Which lifestyle change is the most important?

Focusing on a single lifestyle change may be insufficient, especially because the bulk of evidence for individual interventions comes from population-based cohort studies (level III), rather than strong RCTs with a long follow-up. There is increasing evidence that combining multiple lifestyle modifications may yield better outcomes in maintaining or improving cognition.73

The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER), a large, 2-year RCT that included community-dwelling older adults (age 60 to 77) with no diagnosis of major neurocognitive disorder, found that compared with regular health advice, multi-domain interventions reduced cognitive decline and improved overall cognition, executive functioning, and processing speed. The interventions evaluated in this study combined the following 4 modalities74:

  • a healthy diet according to the Finnish nutrition recommendations (eating vegetables, fruits, and berries [minimum: 500 g/d], whole grain cereals [several times a day], and fish [2 to 3 times/week]; using low-salt products; consuming fat-free or low-fat milk products; and limiting red meat consumption to <500 g/week
  • regular physical exercise tailored for improving muscle strength (1 to 3 times/week) coupled with aerobic exercise (2 to 5 times/week)
  • cognitive training, including group sessions that have a social activity component and computer-based individual sessions 3 times/week that target episodic and working memory and executive functioning
  • optimal management of cardiovascular risk factors.

Continue to: This multi-domain approach...

 

 

This multi-domain approach for lifestyle modification should be strongly recommended to cognitively intact older patients (level IB).

Modeled after the FINGER study, the Alzheimer’s Association U.S. Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk (U.S. POINTER) is a 2-year, multicenter, controlled clinical trial aimed at testing the ability of a multi­dimensional lifestyle intervention to prevent AD in at-risk older adults (age 60 to 79, with established metabolic and cardiovascular risk factors). Interventions include a combination of physical exercise, nutritional counseling and management, cognitive and social stimulation, and improved management of cardiovascular risk factors. Recruitment for this large-scale trial was estimated to begin in January 2019 (NCT03688126).75

9 Recommendations for the prevention/delay of Alzheimer’s disease

On a practical basis, Desai et al13 have proposed a checklist (Table 213) that physicians can use in their routine consultations to improve primary prevention of AD among their older patients.

 

Bottom Line

Advise patients that pursuing a healthy lifestyle is a key to delaying or preventing Alzheimer’s disease. This involves managing cardiovascular risk factors and a combination of staying physically, mentally, socially, and spiritually active, in addition to adhering to a healthy diet such as the Mediterranean diet.

 

Related Resources

  • Anderson K, Grossberg GT. Brain games to slow cognitive decline in Alzheimer’s disease. J Am Med Dir Assoc. 2014;15(8):536-537.
  • Small G, Vorgan G. The memory prescription: Dr. Garry Small’s 14-day plan to keep your brain and body young. New York, NY: Hyperion; 2004.
  • Small G, Vorgan G. The Alzheimer’s prevention program; keep your brain healthy for the rest of your life. New York, NY: Workman Publishing Company, Inc.; 2012.

Drug Brand Name

Curcumin • Theracurmin

References

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33. Malinowski P, Moore AW, Mead Br, et al. Mindful aging: the effects of regular brief mindfulness practice on electrophysiological markers of cognitive and affective processing in older adults. Mindfulness (N Y). 2017;8(1):78-94.
34. Taren AA, Gianaros PJ, Greco CM, et al. Mindfulness meditation training and executive control network resting state functional connectivity: a randomized controlled trial. Psychosom Med. 2017;79(6):674-683.
35. Fountain-Zaragoza S, Prakash RS. Mindfulness training for healthy aging: impact on attention, well-being, and inflammation. Front in Aging Neurosci. 2017;9:11.
36. Eyre HA, Siddarth P, Acevedo B, et al. A randomized controlled trial of Kundalini yoga in mild cognitive impairment. Int Psychogeriatr. 2017;29(4):557-567.
37. Khalsa DS. Stress, meditation, and Alzheimer’s disease prevention: where the evidence stands. J Alzheimers Dis. 2015;48(1):1-12.
38. Berk L, van Boxtel M, van Os J. Can mindfulness-based interventions influence cognitive functioning in older adults? A review and considerations for future research. Aging Ment Health. 2017;21(11):1113-1120.
39. Hosseini S, Chaurasia A, Oremus M. The effect of religion and spirituality on cognitive function: a systematic review. Gerontologist. 2017. doi: 10.1093/geront/gnx024.
40. Luchsinger JA, Tang MX, Shea S, et al. Caloric intake and the risk of Alzheimer disease. Arch Neurol. 2002;59(8):1258-1263.
41. Grant WB. Trends in diet and Alzheimer’s disease during the nutrition transition in Japan and developing countries. J Alzheimers Dis. 2014;38(3):611-620.
42. Kanoski SE, Davidson TL. Western diet consumption and cognitive impairment: links to hippocampal dysfunction and obesity. Physiol Behav. 2011;103(1):59-68.
43. Hu N, Yu JT, Tan L, et al. Nutrition and the risk of Alzheimer’s disease. Biomed Res Int. 2013;2013:524820. doi: 10.1155/2013/524820.
44. Taylor MK, Sullivan DK, Swerdlow RH, et al. A high-glycemic diet is associated with cerebral amyloid burden in cognitively normal older adults. Am J Clin Nutr. 2017;106(6):1463-1470.
45. van de Rest O, Berendsen AM, Haveman-Nies A, et al. Dietary patterns, cognitive decline, and dementia: a systematic review. Adv Nutr. 2015;6(2):154-168.
46. Petersson SD, Philippou E. Mediterranean diet, cognitive function, and dementia: a systematic review of the evidence. Adv Nutr. 2016;7(5):889-904.
47. Smith PJ, Blumenthal JA, Babyak MA, et al. Effects of the dietary approaches to stop hypertension diet, exercise, and caloric restriction on neurocognition in overweight adults with high blood pressure. Hypertension. 2010;55(6):1331-1338.
48. Wengreen H, Munger RG, Cutler A, et al. Prospective study of dietary approaches to stop hypertension- and Mediterranean-style dietary patterns and age-related cognitive change: the Cache County study on memory, health and aging. Am J Clin Nutr. 2013;98(5):1263-1271.
49. Tangney CC, Li H, Wang Y, et al. Relation of DASH- and Mediterranean-like dietary patterns to cognitive decline in older persons. Neurology. 2014;83(16):1410-1416.
50. Morris MC, Tangney CC, Wang Y, et al. MIND diet associated with reduced incidence of Alzheimer’s disease. Alzheimers Dement. 2015;11(9):1007-1014.
51. Desai AK, Rush J, Naveen L, et al. Nutrition and nutritional supplements to promote brain health. In: Hartman-Stein PE, Rue AL, eds. Enhancing cognitive fitness in adults: a guide to the use and development of community-based programs. New York, NY: Springer; 2011:249-269.
52. Goozee KG, Shah TM, Sohrabi HR, et al. Examining the potential clinical value of curcumin in the prevention and diagnosis of Alzheimer’s disease. Br J Nutr. 2016;115(3):449-465.
53. Small GW, Siddarth P, Li Z, et al. Memory and brain amyloid and tau effects of a bioavailable form of curcumin in non-demented adults: a double-blind, placebo-controlled 18-month trial. Am J Geriatr Psychiatry. 2018;26(3):266-277.
54. Kim JW, Lee DY, Lee BC, et al. Alcohol and cognition in the elderly: a review. Psychiatry Investig. 2012;9(1):8-16.
55. Virtaa JJ, Järvenpää T, Heikkilä K, et al. Midlife alcohol consumption and later risk of cognitive impairment: a twin follow-up study. J Alzheimers Dis. 2010;22(3):939-948.
56. Kerr WC, Stockwell T. Understanding standard drinks and drinking guidelines. Drug and Alcohol Rev. 2012;31(2):200-205.
57. National Institute on Alcohol Abuse and Alcoholism. Drinking levels defined. https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking. Accessed December 9, 2017.
58. National Institute on Alcohol Abuse and Alcoholism. What is a standard drink? https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/what-standard-drink. Accessed November 9, 2017.
59. Lindsay J, Laurin D, Verreault R, et al. Risk factors for Alzheimer’s disease: a prospective analysis from the Canadian study of health and aging. Am J Epidemiol. 2002;156(5):445-453.
60. Orgogozo JM, Dartigues JF, Lafont S, et al. Wine consumption and dementia in the elderly: a prospective community study in the Bordeaux area. Rev Neurol (Paris). 1997;153(3):185-192.
61. Topiwala A, Allan CL, Valkanova V, et al. Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study. BMJ. 2017;357.
62. Venkataraman A, Kalk N, Sewell G, et al. Alcohol and Alzheimer’s disease-does alcohol dependence contribute to beta-amyloid deposition, neuroinflammation and neurodegeneration in Alzheimer’s Disease? Alcohol Alcohol. 2017;52(2):151-158.
63. Ma QP, Huang C, Cui QY, et al. Meta-analysis of the association between tea intake and the risk of cognitive disorders. PLoS One. 2016;11(11):e0165861. doi: 10.1371/journal.pone.0165861.
64. Santos C, Costa J, Santos J, et al. Caffeine intake and dementia: systematic review and meta-analysis. J Alzheimers Dis. 2010;20(Suppl 1):S187-204.
65. Panza F, Solfrizzi V, Barulli MR, et al. Coffee, tea, and caffeine consumption and prevention of late-life cognitive decline and dementia: a systematic review. J Nutr Health Aging. 2015;19(3):313-328.
66. Wierzejska R. Can coffee consumption lower the risk of Alzheimer’s disease and Parkinson’s disease? A literature review. Arch Med Sci. 2017;13(3):507-514.
67. Arendash GW, Cao C. Caffeine and coffee as therapeutics against Alzheimer’s disease. J Alzheimers Dis. 2010;20 (Suppl 1):S117-S126.
68. Eskelinen MH, Ngandu T, Tuomilehto J, et al. Midlife coffee and tea drinking and the risk of late-life dementia: a population-based CAIDE study. J Alzheimers Dis. 2009;16(1):85-91.
69. Solfrizzi V, Panza F, Imbimbo BP, et al. Coffee consumption habits and the risk of mild cognitive impairment: the Italian longitudinal study on aging. J Alzheimers Dis. 2015;47(4):889-899.
70. Vittoria Mattioli. Beverages of daily life: impact of caffeine on atrial fibrillation. J Atr Fibrillation. 2014;7(2):1133.
71. Chacko SM, Thambi PT, Kuttan R, et al. Beneficial effects of green tea: a literature review. Chin Med. 2010;5:13.
72. Noguchi-Shinohara M, Yuki S, Dohmoto C, et al. Consumption of green tea, but not black tea or coffee, is associated with reduced risk of cognitive decline. PLoS One. 2014;9(5):e96013. doi: 10.1371/journal.pone.0096013.
73. Schneider N, Yvon C. A review of multidomain interventions to support healthy cognitive ageing. J Nutr Health Aging. 2013;17(3):252-257.
74. Ngandu T, Lehitsalo J, Solomon A, et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial. Lancet. 2015;385(9984):2255-2263.
75. U.S. National Library of Medicing. ClinicalTrials.gov. U.S. study to protect brain health through lifestyle intervention to reduce risk (POINTER). https://clinicaltrials.gov/ct2/show/NCT03688126?term=pointer&cond=Alzheimer+Disease&rank=1. Published September 28, 2018. Accessed November 3, 2018.

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Saint Louis University School of Medicine
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Ruth Shach, MPH
Doctoral Candidate in Clinical Psychology
Saint Louis University
St. Louis, Missouri

Ajay Nair, MD
PGY-2 Psychiatry Resident
Department of Psychiatry and Behavioral Neuroscience
Saint Louis University School of Medicine
St. Louis, Missouri

Saif-Ur-Rahman Paracha, MD
PGY-3 Psychiatry Resident
Department of Psychiatry and Behavioral Neuroscience
Saint Louis University School of Medicine
St. Louis, Missouri

George T. Grossberg, MD
Samuel W. Fordyce Professor
Director, Geriatric Psychiatry
Department of Psychiatry and Behavioral Neuroscience
Saint Louis University School of Medicine
St. Louis, Missouri

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Saint Louis University School of Medicine
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Ruth Shach, MPH
Doctoral Candidate in Clinical Psychology
Saint Louis University
St. Louis, Missouri

Ajay Nair, MD
PGY-2 Psychiatry Resident
Department of Psychiatry and Behavioral Neuroscience
Saint Louis University School of Medicine
St. Louis, Missouri

Saif-Ur-Rahman Paracha, MD
PGY-3 Psychiatry Resident
Department of Psychiatry and Behavioral Neuroscience
Saint Louis University School of Medicine
St. Louis, Missouri

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Samuel W. Fordyce Professor
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Saint Louis University School of Medicine
St. Louis, Missouri

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Author and Disclosure Information

Rita Khoury, MD
Geriatric Psychiatry Fellow
Department of Psychiatry and Behavioral Neuroscience
Saint Louis University School of Medicine
St. Louis, Missouri

Ruth Shach, MPH
Doctoral Candidate in Clinical Psychology
Saint Louis University
St. Louis, Missouri

Ajay Nair, MD
PGY-2 Psychiatry Resident
Department of Psychiatry and Behavioral Neuroscience
Saint Louis University School of Medicine
St. Louis, Missouri

Saif-Ur-Rahman Paracha, MD
PGY-3 Psychiatry Resident
Department of Psychiatry and Behavioral Neuroscience
Saint Louis University School of Medicine
St. Louis, Missouri

George T. Grossberg, MD
Samuel W. Fordyce Professor
Director, Geriatric Psychiatry
Department of Psychiatry and Behavioral Neuroscience
Saint Louis University School of Medicine
St. Louis, Missouri

Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article, or with manufacturers of competing products.

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Clinicians have devoted strenuous efforts to secondary prevention of Alzheimer’s disease (AD) by diagnosing and treating patients as early as possible. Unfortunately, there is no cure for AD, and the field has witnessed recurrent failures of several pharmacotherapy candidates with either symptomatic or disease-modifying properties.1 An estimated one-third of AD cases can be attributed to modifiable risk factors.2 Thus, implementing primary prevention measures by addressing modifiable risk factors thought to contribute to the disease, with the goal of reducing the risk of developing AD, or at least delaying its onset, is a crucial public health strategy.

Cardiovascular risk factors, such as hypertension, hyperlipidemia, diabetes, hyperhomocysteinemia, obesity, and smoking, have emerged as substantive risk factors for AD.3 Optimal management of these major risk factors, especially in mid-life, may be a preventive approach against AD. Although detailing the evidence on the impact of managing cardiovascular risk factors to delay or prevent AD is beyond the scope of this article, it is becoming clear that “what is good for the heart is good for the brain.”

Additional modifiable risk factors are related to lifestyle habits, such as physical exercise, mental and social activity, meditation/spiritual activity, and diet. This article reviews the importance of pursuing a healthy lifestyle in delaying AD, with the corresponding levels of evidence that support each specific lifestyle modification. The levels of evidence are defined in Table 1.4

Practice guidelines levels of evidence

Physical exercise

Twenty-one percent of AD cases in the United States are attributable to physical inactivity.5 In addition to its beneficial effect on metabolic syndrome, in animal and human research, regular exercise has been shown to have direct neuroprotective effects. High levels of physical activity increase hippocampal neurogenesis and neuroplasticity, increase vascular circulation in the brain regions implicated in AD, and modulate inflammatory mediators as well as brain growth factors such as brain-derived neurotrophic factor (BDNF) and insulin-like growth factor-1 (IGF-1).6

 

The definition of regular physical exercise varies across the literature, but usually implies aerobic exercise—an ongoing activity sufficient to increase the heart rate and the need for oxygen, sustained for 20 to 30 minutes per session.7 Modalities include household activities and leisure-time activities. In a large prospective cohort study, Scarmeas et al8 categorized leisure-time activities into 3 types:

  • light (walking, dancing, calisthenics, golfing, bowling, gardening, horseback riding)
  • moderate (bicycling, swimming, hiking, playing tennis)
  • vigorous (aerobic dancing, jogging, playing handball).

These types of physical exercise were weighed by the frequency of participation per week. Compared with being physically inactive, low levels of weekly physical activity (0.1 hours of vigorous, 0.8 hours of moderate, or 1.3 hours of light exercise) were associated with a 29% to 41% lower risk of developing AD, while higher weekly physical activity (1.3 hours of vigorous, 2.3 hours of moderate, or 3.8 hours of light exercise) were associated with a 37% to 50% lower risk (level III).8

In another 20-year cohort study, engaging in leisure-time physical activity at least twice a week in mid-life was significantly associated with a reduced risk of AD, after adjusting for age, sex, education, follow-up time, locomotor disorders, apolipoprotein E (ApoE) genotype, vascular disorders, smoking, and alcohol intake (level III).9 Moreover, a systematic review of 29 randomized controlled trials (RCTs) showed that aerobic exercise training, such as brisk walking, jogging, and biking, was associated with improvements in attention, processing speed, executive function, and memory among healthy older adults and those with mild cognitive impairment (MCI; level IA).10

Continue to: From a pathophysiological standpoint...

 

 

From a pathophysiological standpoint, higher levels of physical exercise in cognitively intact older adults have been associated with reduced brain amyloid beta deposits, especially in ApoE4 carriers.11 This inverse relationship also has been demonstrated in patients who are presymptomatic who carry 1 of the 3 known autosomal dominant mutations for the familial forms of AD.12

Overall, physicians should recommend that patients—especially those with cardiovascular risk factors that increase their risk for AD—exercise regularly by following the guidelines of the American Heart Association or the American College of Sports Medicine.13 These include muscle-strengthening activities (legs, hips, back, abdomen, shoulders, and arms) at least 2 days/week, in addition to either 30 minutes/day of moderate-intensity aerobic activity such as brisk walking, 5 days/week; or 25 minutes of vigorous aerobic activity such as jogging and running, 3 days/week14 (level IA evidence for overall improvement in cognitive function; level III evidence for AD delay/risk reduction). Neuromotor exercise, such as yoga and tai chi, and flexibility exercise such as muscle stretching, especially after a hot bath, 2 to 3 days/week are also recommended (level III).15

Mental activity

Nineteen percent of AD cases worldwide and 7% in the United States. can be attributed to low educational attainment, which is associated with low brain cognitive reserve.5 Cognitive resilience in later life may be enhanced by building brain reserves through intellectual stimulation, which affects neuronal branching and plasticity.16 Higher levels of complex mental activities measured across the lifespan, such as education, occupation, reading, and writing, are correlated with significantly less hippocampal volume shrinkage over time.17 Frequent participation in mentally stimulating activities—such as listening to the radio; reading newspapers, magazines, or books; playing games (cards, checkers, crosswords or other puzzles); and visiting museums—was associated with an up to 64% reduction in the odds of developing AD in a cohort of cognitively intact older adults followed for 4 years.18 The correlation between mental activity and AD was found to be independent of physical activity, social activity, or baseline cognitive function.19

In a large cohort of cognitively intact older adults (mean age 70), engaging in a mentally stimulating activity (craft activities, computer use, or going to the theater/movies) once to twice a week was significantly associated with a reduced incidence of amnestic MCI.20 Another prospective 21-year study demonstrated a significant reduction in AD risk in community-dwelling cognitively intact older adults (age 75 to 85) who participated in cognitively stimulating activities, such as reading books or newspapers, writing for pleasure, doing crossword puzzles, playing board games or cards, or playing musical instruments, several times/week.21

Growing scientific evidence also suggests that lifelong multilingualism can delay AD onset by 4 to 5 years.22 Multilingualism is associated with greater cognitive reserve, gray matter volume, functional connectivity and white matter density.23

Continue to: Physicians should encourage their patients...

 

 

Physicians should encourage their patients to engage in intellectually stimulating activities and creative leisure-time activities several times/week to enhance their cognitive reserves and delay AD onset (level III evidence with respect to AD risk reduction/delay).

Social activity

Social engagement may be an additional protective factor against AD. In a large 4-year prospective study, increased loneliness in cognitively intact older adults doubled the risk of AD.24 Data from the large French cohort PAQUID (Personnes Agées QUID) emphasized the importance of a patient’s social network as a protective factor against AD. In this cohort, the perception of reciprocity in relationships with others (the perception that a person had received more than he or she had given) was associated with a 53% reduction in AD risk (level III).25 In another longitudinal cohort study, social activity was found to decrease the incidence of subjective cognitive decline, which is a prodromal syndrome for MCI and AD (level III).26

A major confounder in studies assessing for social activity is the uncertainty if social withdrawal is a modifiable risk factor or an early manifestation of AD, since apathetic patients with AD tend to be socially withdrawn.27 Another limitation of measuring the impact of social activity relative to AD risk is the difficulty in isolating social activities from activities that have physical and mental activity components, such as leisure-time activities.28

 

Meditation/spiritual activity

Chronic psychological stress is believed to compromise limbic structures that regulate stress-related behaviors and the memory network, which might explain how being prone to psychological distress may be associated with MCI or AD.29 Cognitive stress may increase the oxidative stress and telomere shortening implicated in the neuro­degenerative processes of AD.30 In one study, participants who were highly prone to psychological distress were found to be at 3 times increased risk for developing AD, after adjusting for depression symptoms and physical and mental activities (level III).31 By reducing chronic psychological stress, meditation techniques offer a promising preventive option against AD.

Mindfulness-based interventions (MBI) have gained increased attention in the past decade. They entail directing one’s attention towards the present moment, thereby decreasing ruminative thoughts and stress arousal.32 Recent RCTs have shown that MBI may promote brain health in older adults not only by improving psychological well-being but also by improving attentional control33 and functional connectivity in brain regions implicated in executive functioning,34 as well as by modulating inflammatory processes implicated in AD.35 Furthermore, an RCT of patients diagnosed with MCI found that compared with memory enhancement training, a weekly 60-minute yoga session improved memory and executive functioning.36

Continue to: Kirtan Kriya is a medication technique...

 

 

Kirtan Kriya is a meditation technique that is easy to learn and practice by older adults and can improve memory in patients at risk for developing AD.37 However, more rigorous RCTs conducted in larger samples of older adults are needed to better evaluate the effect of all meditation techniques for delaying or preventing AD (level IB with respect to improvement in cognitive functioning/level III for AD delay/risk reduction).38

Spiritual activities, such as going to places of worship or religious meditation, have been associated with a lower prevalence of AD. Attending religious services, gatherings, or retreats involves a social component because these activities often are practiced in groups. They also confer a method of dealing with psychological distress and depression. Additionally, frequent readings of religious texts represents a mentally stimulating activity that may also contribute to delaying/preventing AD (level III).39

Diet

In the past decade, a growing body of evidence has linked diet to cognition. Individuals with a higher intake of calories and fat are at higher risk for developing AD.40 The incidence of AD rose in Japan after the country transitioned to a more Westernized diet.41 A modern Western diet rich in saturated fatty acids and simple carbohydrates may negatively impact hippocampus-mediated functions such as memory and learning, and is associated with an increased risk of AD.42 In contrast with high-glycemic and fatty diets, a “healthy diet” is associated with a decrease in beta-amyloid burden, inflammation, and oxidative stress.43,44

Studies focusing on dietary patterns rather than a single nutrient for delaying or preventing AD have yielded more robust and consistent results.45 In a recent meta-analysis, adhering to a Mediterranean diet—which is rich in fruits and vegetables, whole grains, olive oil, and fish; moderate in some dairy products and wine; and low in red meat—was associated with a decreased risk of AD; this evidence was derived mostly from epidemiologic studies.46 Scarmeas et al8 found that high adherence to the Mediterranean diet was associated with 32% to 40% reduced risk of AD. Combining this diet with physical exercise was associated with an up to 67% reduced risk (level III). The Dietary Approaches to Stop Hypertension (DASH) diet, which is rich in total grains, fruits, vegetables, and dairy products, but low in sodium and sweets, correlated with neuro­cognitive improvement in patients with hypertension.47 Both the Mediterranean and DASH diets have been associated with better cognitive function48 and slower cognitive decline.49 Thus, an attempt to combine the neuroprotective components from both diets led to the creation of the MIND (Mediterranean-DASH Intervention for Neurodegenerative Delay) diet, which also has been associated with a lower incidence of AD.50

Besides specific diets, some food groups have also been found to promote brain health and may help delay or prevent AD. Berries have the highest amount of antioxidants of all fruit. Among vegetables, tomatoes and green leafy vegetables have the highest amount of nutrients for the brain. Nuts, such as walnuts, which are rich in omega-3 fatty acids, are also considered “power foods” for the brain; however, they should be consumed in moderation because they are also rich in fat. Monounsaturated fatty acids, which are found in olives and olive oil, are also beneficial for the brain. Among the 3 types of omega-3 fatty acids, the most important for cognition is docosahexaenoic acid (DHA) because it constitutes 40% of all fatty acids in the brain. Mainly found in oily fish, DHA has antioxidant and anti-inflammatory properties that may delay or prevent AD. Low levels of DHA have been found in patients with AD.51

Continue to: Curcumin, which is derived from...

 

 

Curcumin, which is derived from the curry spice turmeric, is a polyphenol with anti-inflammatory, antioxidant, and anti-amyloid properties that may have a promising role in preventing AD in cognitively intact individuals. Initial trials with curcumin have yielded mixed results on cognition, which was partly related to the low solubility and bioavailability of its formulation.52 However, a recent 18-month double-blind randomized placebo-controlled trial found positive effects on memory and attention, as well as reduction of amyloid plaques and tau tangles deposition in the brain, in non-demented older adults age 51 to 84 who took Theracumin, a highly absorptive oral form of curcumin dispersed with colloidal nanoparticles.53 A longer follow-up is required to determine if curcumin can delay or prevent AD.

Alcohol

The role of alcohol in AD prevention is controversial. Overall, data from prospective studies has shown that low to moderate alcohol consumption may be associated with a reduced risk of AD (level III).54 Alcohol drinking in mid-life showed a U-shaped relationship with cognitive impairment; both abstainers and heavy drinkers had an increased risk of cognitive decline compared with light to moderate drinkers (level III).55 Binge drinking significantly increased the odds of cognitive decline, even after controlling for total alcohol consumption per week.55

The definition of low-to-moderate drinking varies substantially among countries. In addition, the size and amount of alcohol contained in a standard drink may differ.56 According to the National Institute on Alcohol Abuse and Alcoholism (NIAAA),57 moderate drinking is defined as up to 1 drink daily for women and 2 drinks daily for men. Binge drinking involves drinking >4 drinks for women and >5 drinks for men, in approximately 2 hours, at least monthly. In the United States, one standard drink contains 14 grams of pure alcohol, which is usually found in 12 ounces of regular beer, 5 ounces of wine, and 1.5 ounces of distilled spirits (vodka or whiskey).58

In a 5-year prospective Canadian study, having 1 drink weekly (especially wine) was associated with an up to 50% reduced risk of AD (level III).59 In the French cohort PAQUID, mild drinkers (<1 to 2 drinks/day) and moderate drinkers (3 to 4 drinks daily) had a reduced incidence of AD compared with non-drinkers. Wine was the most frequently consumed beverage in this study.60 Other studies have found cognitive benefits from mild to moderate drinking regardless of beverage type.54 However, a recent study that included a 30-year follow-up failed to find a significant protective effect of light drinking over abstinence in terms of hippocampal atrophy.61 Atrophy of the hippocampus was correlated with increasing alcohol amounts in a dose-dependent manner, starting at 7 to 14 drinks/week (level III).61

Research has shown that moderate and heavy alcohol use or misuse can directly induce microglial activation and inflammatory mediators’ release, which induce amyloid beta pathology and leads to brain atrophy.62 Hence, non-drinkers should not be advised to begin drinking, because of the lack of RCTs and the concern that beginning to drink may lead to heavy drinking. All drinkers should be advised to adhere to the NIAAA recommendations.13

Continue to: Coffee/tea

 

 

Coffee/tea

Although studies of caffeinated coffee have been heterogeneous and yielded mixed results (beneficial effect vs no effect on delaying cognitive decline), systematic reviews and meta-analyses of cross-sectional, case-control, and longitudinal cohort studies have found a general trend towards a favorable preventive role (level III).63-65 Caffeine exhibits its neuroprotective effect by increasing brain serotonin and acetylcholine, and by stabilizing blood-brain-barrier integrity.66 Moreover, in an animal study, mice given caffeine in their drinking water from young adulthood into older age had lower amyloid beta plasma levels compared with those given decaffeinated water.67 These findings suggest that in humans, 5 cups of regular caffeinated coffee daily, equivalent to 500 mg of caffeine, could be protective against cognitive impairment. Other caffeinated beverages, such as tea or soft drinks, contain up to 4 times less caffeine per serving; many more servings would therefore be required to reach the target amount of 500 mg/d of caffeine.67 Data from the Cardiovascular Risk Factors, Aging and Dementia (CAIDE) study demonstrate a 65% reduced risk of dementia/AD in individuals who consumed 3 to 5 cups of regular coffee daily in mid-life.68

An Italian study showed that older adults who don’t or rarely drink coffee (<1 cup daily) and those who recently increased their consumption pattern to >1 cup daily had a higher incidence of MCI than those who habitually consumed 1 to 2 cups daily.69 Therefore, it is not recommended to advise a change in coffee drinking pattern in old age. Older adults who are coffee drinkers should, however, be educated about the association between heavier caffeine intake and anxiety, insomnia, and cardiac arrhythmias.70

Despite its more modest caffeine levels, green tea is rich in polyphenols, which belong to the family of catechins and are characterized by antioxidant and anti-inflammatory properties.71 In a Japanese cohort, higher green tea consumption (up to 1 cup daily) was associated with a decreased incidence of MCI in older adults.72 More studies are needed to confirm its potential preventative role in AD.

 

Which lifestyle change is the most important?

Focusing on a single lifestyle change may be insufficient, especially because the bulk of evidence for individual interventions comes from population-based cohort studies (level III), rather than strong RCTs with a long follow-up. There is increasing evidence that combining multiple lifestyle modifications may yield better outcomes in maintaining or improving cognition.73

The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER), a large, 2-year RCT that included community-dwelling older adults (age 60 to 77) with no diagnosis of major neurocognitive disorder, found that compared with regular health advice, multi-domain interventions reduced cognitive decline and improved overall cognition, executive functioning, and processing speed. The interventions evaluated in this study combined the following 4 modalities74:

  • a healthy diet according to the Finnish nutrition recommendations (eating vegetables, fruits, and berries [minimum: 500 g/d], whole grain cereals [several times a day], and fish [2 to 3 times/week]; using low-salt products; consuming fat-free or low-fat milk products; and limiting red meat consumption to <500 g/week
  • regular physical exercise tailored for improving muscle strength (1 to 3 times/week) coupled with aerobic exercise (2 to 5 times/week)
  • cognitive training, including group sessions that have a social activity component and computer-based individual sessions 3 times/week that target episodic and working memory and executive functioning
  • optimal management of cardiovascular risk factors.

Continue to: This multi-domain approach...

 

 

This multi-domain approach for lifestyle modification should be strongly recommended to cognitively intact older patients (level IB).

Modeled after the FINGER study, the Alzheimer’s Association U.S. Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk (U.S. POINTER) is a 2-year, multicenter, controlled clinical trial aimed at testing the ability of a multi­dimensional lifestyle intervention to prevent AD in at-risk older adults (age 60 to 79, with established metabolic and cardiovascular risk factors). Interventions include a combination of physical exercise, nutritional counseling and management, cognitive and social stimulation, and improved management of cardiovascular risk factors. Recruitment for this large-scale trial was estimated to begin in January 2019 (NCT03688126).75

9 Recommendations for the prevention/delay of Alzheimer’s disease

On a practical basis, Desai et al13 have proposed a checklist (Table 213) that physicians can use in their routine consultations to improve primary prevention of AD among their older patients.

 

Bottom Line

Advise patients that pursuing a healthy lifestyle is a key to delaying or preventing Alzheimer’s disease. This involves managing cardiovascular risk factors and a combination of staying physically, mentally, socially, and spiritually active, in addition to adhering to a healthy diet such as the Mediterranean diet.

 

Related Resources

  • Anderson K, Grossberg GT. Brain games to slow cognitive decline in Alzheimer’s disease. J Am Med Dir Assoc. 2014;15(8):536-537.
  • Small G, Vorgan G. The memory prescription: Dr. Garry Small’s 14-day plan to keep your brain and body young. New York, NY: Hyperion; 2004.
  • Small G, Vorgan G. The Alzheimer’s prevention program; keep your brain healthy for the rest of your life. New York, NY: Workman Publishing Company, Inc.; 2012.

Drug Brand Name

Curcumin • Theracurmin

Clinicians have devoted strenuous efforts to secondary prevention of Alzheimer’s disease (AD) by diagnosing and treating patients as early as possible. Unfortunately, there is no cure for AD, and the field has witnessed recurrent failures of several pharmacotherapy candidates with either symptomatic or disease-modifying properties.1 An estimated one-third of AD cases can be attributed to modifiable risk factors.2 Thus, implementing primary prevention measures by addressing modifiable risk factors thought to contribute to the disease, with the goal of reducing the risk of developing AD, or at least delaying its onset, is a crucial public health strategy.

Cardiovascular risk factors, such as hypertension, hyperlipidemia, diabetes, hyperhomocysteinemia, obesity, and smoking, have emerged as substantive risk factors for AD.3 Optimal management of these major risk factors, especially in mid-life, may be a preventive approach against AD. Although detailing the evidence on the impact of managing cardiovascular risk factors to delay or prevent AD is beyond the scope of this article, it is becoming clear that “what is good for the heart is good for the brain.”

Additional modifiable risk factors are related to lifestyle habits, such as physical exercise, mental and social activity, meditation/spiritual activity, and diet. This article reviews the importance of pursuing a healthy lifestyle in delaying AD, with the corresponding levels of evidence that support each specific lifestyle modification. The levels of evidence are defined in Table 1.4

Practice guidelines levels of evidence

Physical exercise

Twenty-one percent of AD cases in the United States are attributable to physical inactivity.5 In addition to its beneficial effect on metabolic syndrome, in animal and human research, regular exercise has been shown to have direct neuroprotective effects. High levels of physical activity increase hippocampal neurogenesis and neuroplasticity, increase vascular circulation in the brain regions implicated in AD, and modulate inflammatory mediators as well as brain growth factors such as brain-derived neurotrophic factor (BDNF) and insulin-like growth factor-1 (IGF-1).6

 

The definition of regular physical exercise varies across the literature, but usually implies aerobic exercise—an ongoing activity sufficient to increase the heart rate and the need for oxygen, sustained for 20 to 30 minutes per session.7 Modalities include household activities and leisure-time activities. In a large prospective cohort study, Scarmeas et al8 categorized leisure-time activities into 3 types:

  • light (walking, dancing, calisthenics, golfing, bowling, gardening, horseback riding)
  • moderate (bicycling, swimming, hiking, playing tennis)
  • vigorous (aerobic dancing, jogging, playing handball).

These types of physical exercise were weighed by the frequency of participation per week. Compared with being physically inactive, low levels of weekly physical activity (0.1 hours of vigorous, 0.8 hours of moderate, or 1.3 hours of light exercise) were associated with a 29% to 41% lower risk of developing AD, while higher weekly physical activity (1.3 hours of vigorous, 2.3 hours of moderate, or 3.8 hours of light exercise) were associated with a 37% to 50% lower risk (level III).8

In another 20-year cohort study, engaging in leisure-time physical activity at least twice a week in mid-life was significantly associated with a reduced risk of AD, after adjusting for age, sex, education, follow-up time, locomotor disorders, apolipoprotein E (ApoE) genotype, vascular disorders, smoking, and alcohol intake (level III).9 Moreover, a systematic review of 29 randomized controlled trials (RCTs) showed that aerobic exercise training, such as brisk walking, jogging, and biking, was associated with improvements in attention, processing speed, executive function, and memory among healthy older adults and those with mild cognitive impairment (MCI; level IA).10

Continue to: From a pathophysiological standpoint...

 

 

From a pathophysiological standpoint, higher levels of physical exercise in cognitively intact older adults have been associated with reduced brain amyloid beta deposits, especially in ApoE4 carriers.11 This inverse relationship also has been demonstrated in patients who are presymptomatic who carry 1 of the 3 known autosomal dominant mutations for the familial forms of AD.12

Overall, physicians should recommend that patients—especially those with cardiovascular risk factors that increase their risk for AD—exercise regularly by following the guidelines of the American Heart Association or the American College of Sports Medicine.13 These include muscle-strengthening activities (legs, hips, back, abdomen, shoulders, and arms) at least 2 days/week, in addition to either 30 minutes/day of moderate-intensity aerobic activity such as brisk walking, 5 days/week; or 25 minutes of vigorous aerobic activity such as jogging and running, 3 days/week14 (level IA evidence for overall improvement in cognitive function; level III evidence for AD delay/risk reduction). Neuromotor exercise, such as yoga and tai chi, and flexibility exercise such as muscle stretching, especially after a hot bath, 2 to 3 days/week are also recommended (level III).15

Mental activity

Nineteen percent of AD cases worldwide and 7% in the United States. can be attributed to low educational attainment, which is associated with low brain cognitive reserve.5 Cognitive resilience in later life may be enhanced by building brain reserves through intellectual stimulation, which affects neuronal branching and plasticity.16 Higher levels of complex mental activities measured across the lifespan, such as education, occupation, reading, and writing, are correlated with significantly less hippocampal volume shrinkage over time.17 Frequent participation in mentally stimulating activities—such as listening to the radio; reading newspapers, magazines, or books; playing games (cards, checkers, crosswords or other puzzles); and visiting museums—was associated with an up to 64% reduction in the odds of developing AD in a cohort of cognitively intact older adults followed for 4 years.18 The correlation between mental activity and AD was found to be independent of physical activity, social activity, or baseline cognitive function.19

In a large cohort of cognitively intact older adults (mean age 70), engaging in a mentally stimulating activity (craft activities, computer use, or going to the theater/movies) once to twice a week was significantly associated with a reduced incidence of amnestic MCI.20 Another prospective 21-year study demonstrated a significant reduction in AD risk in community-dwelling cognitively intact older adults (age 75 to 85) who participated in cognitively stimulating activities, such as reading books or newspapers, writing for pleasure, doing crossword puzzles, playing board games or cards, or playing musical instruments, several times/week.21

Growing scientific evidence also suggests that lifelong multilingualism can delay AD onset by 4 to 5 years.22 Multilingualism is associated with greater cognitive reserve, gray matter volume, functional connectivity and white matter density.23

Continue to: Physicians should encourage their patients...

 

 

Physicians should encourage their patients to engage in intellectually stimulating activities and creative leisure-time activities several times/week to enhance their cognitive reserves and delay AD onset (level III evidence with respect to AD risk reduction/delay).

Social activity

Social engagement may be an additional protective factor against AD. In a large 4-year prospective study, increased loneliness in cognitively intact older adults doubled the risk of AD.24 Data from the large French cohort PAQUID (Personnes Agées QUID) emphasized the importance of a patient’s social network as a protective factor against AD. In this cohort, the perception of reciprocity in relationships with others (the perception that a person had received more than he or she had given) was associated with a 53% reduction in AD risk (level III).25 In another longitudinal cohort study, social activity was found to decrease the incidence of subjective cognitive decline, which is a prodromal syndrome for MCI and AD (level III).26

A major confounder in studies assessing for social activity is the uncertainty if social withdrawal is a modifiable risk factor or an early manifestation of AD, since apathetic patients with AD tend to be socially withdrawn.27 Another limitation of measuring the impact of social activity relative to AD risk is the difficulty in isolating social activities from activities that have physical and mental activity components, such as leisure-time activities.28

 

Meditation/spiritual activity

Chronic psychological stress is believed to compromise limbic structures that regulate stress-related behaviors and the memory network, which might explain how being prone to psychological distress may be associated with MCI or AD.29 Cognitive stress may increase the oxidative stress and telomere shortening implicated in the neuro­degenerative processes of AD.30 In one study, participants who were highly prone to psychological distress were found to be at 3 times increased risk for developing AD, after adjusting for depression symptoms and physical and mental activities (level III).31 By reducing chronic psychological stress, meditation techniques offer a promising preventive option against AD.

Mindfulness-based interventions (MBI) have gained increased attention in the past decade. They entail directing one’s attention towards the present moment, thereby decreasing ruminative thoughts and stress arousal.32 Recent RCTs have shown that MBI may promote brain health in older adults not only by improving psychological well-being but also by improving attentional control33 and functional connectivity in brain regions implicated in executive functioning,34 as well as by modulating inflammatory processes implicated in AD.35 Furthermore, an RCT of patients diagnosed with MCI found that compared with memory enhancement training, a weekly 60-minute yoga session improved memory and executive functioning.36

Continue to: Kirtan Kriya is a medication technique...

 

 

Kirtan Kriya is a meditation technique that is easy to learn and practice by older adults and can improve memory in patients at risk for developing AD.37 However, more rigorous RCTs conducted in larger samples of older adults are needed to better evaluate the effect of all meditation techniques for delaying or preventing AD (level IB with respect to improvement in cognitive functioning/level III for AD delay/risk reduction).38

Spiritual activities, such as going to places of worship or religious meditation, have been associated with a lower prevalence of AD. Attending religious services, gatherings, or retreats involves a social component because these activities often are practiced in groups. They also confer a method of dealing with psychological distress and depression. Additionally, frequent readings of religious texts represents a mentally stimulating activity that may also contribute to delaying/preventing AD (level III).39

Diet

In the past decade, a growing body of evidence has linked diet to cognition. Individuals with a higher intake of calories and fat are at higher risk for developing AD.40 The incidence of AD rose in Japan after the country transitioned to a more Westernized diet.41 A modern Western diet rich in saturated fatty acids and simple carbohydrates may negatively impact hippocampus-mediated functions such as memory and learning, and is associated with an increased risk of AD.42 In contrast with high-glycemic and fatty diets, a “healthy diet” is associated with a decrease in beta-amyloid burden, inflammation, and oxidative stress.43,44

Studies focusing on dietary patterns rather than a single nutrient for delaying or preventing AD have yielded more robust and consistent results.45 In a recent meta-analysis, adhering to a Mediterranean diet—which is rich in fruits and vegetables, whole grains, olive oil, and fish; moderate in some dairy products and wine; and low in red meat—was associated with a decreased risk of AD; this evidence was derived mostly from epidemiologic studies.46 Scarmeas et al8 found that high adherence to the Mediterranean diet was associated with 32% to 40% reduced risk of AD. Combining this diet with physical exercise was associated with an up to 67% reduced risk (level III). The Dietary Approaches to Stop Hypertension (DASH) diet, which is rich in total grains, fruits, vegetables, and dairy products, but low in sodium and sweets, correlated with neuro­cognitive improvement in patients with hypertension.47 Both the Mediterranean and DASH diets have been associated with better cognitive function48 and slower cognitive decline.49 Thus, an attempt to combine the neuroprotective components from both diets led to the creation of the MIND (Mediterranean-DASH Intervention for Neurodegenerative Delay) diet, which also has been associated with a lower incidence of AD.50

Besides specific diets, some food groups have also been found to promote brain health and may help delay or prevent AD. Berries have the highest amount of antioxidants of all fruit. Among vegetables, tomatoes and green leafy vegetables have the highest amount of nutrients for the brain. Nuts, such as walnuts, which are rich in omega-3 fatty acids, are also considered “power foods” for the brain; however, they should be consumed in moderation because they are also rich in fat. Monounsaturated fatty acids, which are found in olives and olive oil, are also beneficial for the brain. Among the 3 types of omega-3 fatty acids, the most important for cognition is docosahexaenoic acid (DHA) because it constitutes 40% of all fatty acids in the brain. Mainly found in oily fish, DHA has antioxidant and anti-inflammatory properties that may delay or prevent AD. Low levels of DHA have been found in patients with AD.51

Continue to: Curcumin, which is derived from...

 

 

Curcumin, which is derived from the curry spice turmeric, is a polyphenol with anti-inflammatory, antioxidant, and anti-amyloid properties that may have a promising role in preventing AD in cognitively intact individuals. Initial trials with curcumin have yielded mixed results on cognition, which was partly related to the low solubility and bioavailability of its formulation.52 However, a recent 18-month double-blind randomized placebo-controlled trial found positive effects on memory and attention, as well as reduction of amyloid plaques and tau tangles deposition in the brain, in non-demented older adults age 51 to 84 who took Theracumin, a highly absorptive oral form of curcumin dispersed with colloidal nanoparticles.53 A longer follow-up is required to determine if curcumin can delay or prevent AD.

Alcohol

The role of alcohol in AD prevention is controversial. Overall, data from prospective studies has shown that low to moderate alcohol consumption may be associated with a reduced risk of AD (level III).54 Alcohol drinking in mid-life showed a U-shaped relationship with cognitive impairment; both abstainers and heavy drinkers had an increased risk of cognitive decline compared with light to moderate drinkers (level III).55 Binge drinking significantly increased the odds of cognitive decline, even after controlling for total alcohol consumption per week.55

The definition of low-to-moderate drinking varies substantially among countries. In addition, the size and amount of alcohol contained in a standard drink may differ.56 According to the National Institute on Alcohol Abuse and Alcoholism (NIAAA),57 moderate drinking is defined as up to 1 drink daily for women and 2 drinks daily for men. Binge drinking involves drinking >4 drinks for women and >5 drinks for men, in approximately 2 hours, at least monthly. In the United States, one standard drink contains 14 grams of pure alcohol, which is usually found in 12 ounces of regular beer, 5 ounces of wine, and 1.5 ounces of distilled spirits (vodka or whiskey).58

In a 5-year prospective Canadian study, having 1 drink weekly (especially wine) was associated with an up to 50% reduced risk of AD (level III).59 In the French cohort PAQUID, mild drinkers (<1 to 2 drinks/day) and moderate drinkers (3 to 4 drinks daily) had a reduced incidence of AD compared with non-drinkers. Wine was the most frequently consumed beverage in this study.60 Other studies have found cognitive benefits from mild to moderate drinking regardless of beverage type.54 However, a recent study that included a 30-year follow-up failed to find a significant protective effect of light drinking over abstinence in terms of hippocampal atrophy.61 Atrophy of the hippocampus was correlated with increasing alcohol amounts in a dose-dependent manner, starting at 7 to 14 drinks/week (level III).61

Research has shown that moderate and heavy alcohol use or misuse can directly induce microglial activation and inflammatory mediators’ release, which induce amyloid beta pathology and leads to brain atrophy.62 Hence, non-drinkers should not be advised to begin drinking, because of the lack of RCTs and the concern that beginning to drink may lead to heavy drinking. All drinkers should be advised to adhere to the NIAAA recommendations.13

Continue to: Coffee/tea

 

 

Coffee/tea

Although studies of caffeinated coffee have been heterogeneous and yielded mixed results (beneficial effect vs no effect on delaying cognitive decline), systematic reviews and meta-analyses of cross-sectional, case-control, and longitudinal cohort studies have found a general trend towards a favorable preventive role (level III).63-65 Caffeine exhibits its neuroprotective effect by increasing brain serotonin and acetylcholine, and by stabilizing blood-brain-barrier integrity.66 Moreover, in an animal study, mice given caffeine in their drinking water from young adulthood into older age had lower amyloid beta plasma levels compared with those given decaffeinated water.67 These findings suggest that in humans, 5 cups of regular caffeinated coffee daily, equivalent to 500 mg of caffeine, could be protective against cognitive impairment. Other caffeinated beverages, such as tea or soft drinks, contain up to 4 times less caffeine per serving; many more servings would therefore be required to reach the target amount of 500 mg/d of caffeine.67 Data from the Cardiovascular Risk Factors, Aging and Dementia (CAIDE) study demonstrate a 65% reduced risk of dementia/AD in individuals who consumed 3 to 5 cups of regular coffee daily in mid-life.68

An Italian study showed that older adults who don’t or rarely drink coffee (<1 cup daily) and those who recently increased their consumption pattern to >1 cup daily had a higher incidence of MCI than those who habitually consumed 1 to 2 cups daily.69 Therefore, it is not recommended to advise a change in coffee drinking pattern in old age. Older adults who are coffee drinkers should, however, be educated about the association between heavier caffeine intake and anxiety, insomnia, and cardiac arrhythmias.70

Despite its more modest caffeine levels, green tea is rich in polyphenols, which belong to the family of catechins and are characterized by antioxidant and anti-inflammatory properties.71 In a Japanese cohort, higher green tea consumption (up to 1 cup daily) was associated with a decreased incidence of MCI in older adults.72 More studies are needed to confirm its potential preventative role in AD.

 

Which lifestyle change is the most important?

Focusing on a single lifestyle change may be insufficient, especially because the bulk of evidence for individual interventions comes from population-based cohort studies (level III), rather than strong RCTs with a long follow-up. There is increasing evidence that combining multiple lifestyle modifications may yield better outcomes in maintaining or improving cognition.73

The Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER), a large, 2-year RCT that included community-dwelling older adults (age 60 to 77) with no diagnosis of major neurocognitive disorder, found that compared with regular health advice, multi-domain interventions reduced cognitive decline and improved overall cognition, executive functioning, and processing speed. The interventions evaluated in this study combined the following 4 modalities74:

  • a healthy diet according to the Finnish nutrition recommendations (eating vegetables, fruits, and berries [minimum: 500 g/d], whole grain cereals [several times a day], and fish [2 to 3 times/week]; using low-salt products; consuming fat-free or low-fat milk products; and limiting red meat consumption to <500 g/week
  • regular physical exercise tailored for improving muscle strength (1 to 3 times/week) coupled with aerobic exercise (2 to 5 times/week)
  • cognitive training, including group sessions that have a social activity component and computer-based individual sessions 3 times/week that target episodic and working memory and executive functioning
  • optimal management of cardiovascular risk factors.

Continue to: This multi-domain approach...

 

 

This multi-domain approach for lifestyle modification should be strongly recommended to cognitively intact older patients (level IB).

Modeled after the FINGER study, the Alzheimer’s Association U.S. Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk (U.S. POINTER) is a 2-year, multicenter, controlled clinical trial aimed at testing the ability of a multi­dimensional lifestyle intervention to prevent AD in at-risk older adults (age 60 to 79, with established metabolic and cardiovascular risk factors). Interventions include a combination of physical exercise, nutritional counseling and management, cognitive and social stimulation, and improved management of cardiovascular risk factors. Recruitment for this large-scale trial was estimated to begin in January 2019 (NCT03688126).75

9 Recommendations for the prevention/delay of Alzheimer’s disease

On a practical basis, Desai et al13 have proposed a checklist (Table 213) that physicians can use in their routine consultations to improve primary prevention of AD among their older patients.

 

Bottom Line

Advise patients that pursuing a healthy lifestyle is a key to delaying or preventing Alzheimer’s disease. This involves managing cardiovascular risk factors and a combination of staying physically, mentally, socially, and spiritually active, in addition to adhering to a healthy diet such as the Mediterranean diet.

 

Related Resources

  • Anderson K, Grossberg GT. Brain games to slow cognitive decline in Alzheimer’s disease. J Am Med Dir Assoc. 2014;15(8):536-537.
  • Small G, Vorgan G. The memory prescription: Dr. Garry Small’s 14-day plan to keep your brain and body young. New York, NY: Hyperion; 2004.
  • Small G, Vorgan G. The Alzheimer’s prevention program; keep your brain healthy for the rest of your life. New York, NY: Workman Publishing Company, Inc.; 2012.

Drug Brand Name

Curcumin • Theracurmin

References

1. Mehta D, Jackson R, Paul G, et al. Why do trials for Alzheimer’s disease drugs keep failing? A discontinued drug perspective for 2010-2015. Expert Opin Investig Drugs. 2017;26(6):735-739.
2. Norton S, Matthews FE, Barnes DE, et al. Potential for primary prevention of Alzheimer’s disease: an analysis of population-based data. Lancet Neurol. 2014;13(8):788-794.
3. Meng XF, Yu JT, Wang HF, et al. Midlife vascular risk factors and the risk of Alzheimer’s disease: a systematic review and meta-analysis. J Alzheimers Dis. 2014;42(4):1295-1310.
4. Shekelle PG, Woolf SH, Eccles M, et al. Developing clinical guidelines. West J Med. 1999;170(6):348-351.
5. Barnes DE, Yaffe Y. The projected impact of risk factor reduction on Alzheimer’s disease prevalence. Lancet Neurol. 2011;10(9):819-828.
6. Cotman CW, Berchtold NC, Christie LA. Exercise builds brain health: key roles of growth factor cascades and inflammation. Trends Neurosci. 2007;30(9):464-472.
7. Ahlskog JE, Geda YE, Graff-Radford NR, et al. Physical exercise as a preventive or disease-modifying treatment of dementia and brain aging. Mayo Clin Proc. 2011;86(9):876-884.
8. Scarmeas N, Luchsinger JA, Schupf N, et al. Physical activity, diet, and risk of Alzheimer Disease. JAMA. 2009;302(6):627-637.
9. Rovio S, Kåreholt I, Helkala EL, et al. Leisure-time physical activity at midlife and the risk of dementia and Alzheimer’s disease. Lancet Neurol. 2005;4(11):705-711.
10. Smith PJ et al. Aerobic exercise and neurocognitive performance: a meta-analytic review of randomized controlled trials. Psychosom Med. 2010;72(3):239-252.
11. Brown BM, Peiffer JJ, Taddei K, et al. Physical activity and amyloid-beta plasma and brain levels: results from the Australian imaging, biomarkers and lifestyle study of ageing. Mol Psychiatry. 2013;18(8):875-881.
12. Brown BM, Sohrabi HR, Taddei K, et al. Habitual exercise levels are associated with cerebral amyloid load in presymptomatic autosomal dominant Alzheimer’s disease. Alzheimers Dement. 2017;13(11):1197-1206.
13. Desai AK, Grossberg GT, Chibnall JT. Healthy brain aging: a road map. Clin Geriatr Med. 2010;26(1):1-16.
14. Centers for Disease Control and Prevention. Physical activity: how much physical activity do older adults need? www.cdc.gov/physicalactivity/basics/older_adults/index.htm. Updated November 12, 2018. Accessed December 18, 2018.
15. Garber CE, Blissmer B, Deschenes MR, et al; American College of Sports Medicine. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. 2011;43(7):1334-1359.
16. Livingston G, Sommerlad A, Orgeta V, et al. Dementia prevention, intervention, and care. Lancet. 2017;390(10113);2673-2734.
17. Valenzuela MJ, Sachdev P, Wen W, et al. Lifespan mental activity predicts diminished rate of hippocampal atrophy. PLoS One. 2008;3(7):e2598. doi.org/10.1371/journal.pone.0002598.
18. Wilson RS, Bennett DA, Bienias JL, et al. Cognitive activity and incident AD in a population-based sample of older persons. Neurology. 2002;59(12):1910-1914.
19. Wilson RS, Scherr PA, Schneider JA, et al. Relation of cognitive activity to risk of developing Alzheimer disease. Neurology. 2007;69(20):1911-1920.
20. Krell-Roesch J, Vemuri P, Pink A, et al. Association between mentally stimulating activities in late life and the outcome of incident mild cognitive impairment, with an analysis of the apoe ε4 genotype. JAMA Neurol. 2017;74(3):332-338.
21. Verghese J, Lipton RB, Katz MJ, et al. Leisure activities and the risk of dementia in the elderly. N Engl J Med. 2003;348(25):2508-2516.
22. Klein RM, Christie J, Parkvall M. Does multilingualism affect the incidence of Alzheimer’s disease?: a worldwide analysis by country. SSM Popul Health. 2016;2:463-467.
23. Grundy JG, Anderson JAE, Bialystok E. Neural correlates of cognitive processing in monolinguals and bilinguals. Ann N Y Acad Sci. 2017;1396(1):183-201.
24. Wilson RS, Krueger KR, Arnold SE, et al. Loneliness and risk of Alzheimer disease. Arch Gen Psychiatry. 2007;64(2):234-240.
25. Amieva H, Stoykova R, Matharan F, et al. What aspects of social network are protective for dementia? Not the quantity but the quality of social interactions is protective up to 15 years later. Psychosom Med. 2010;72(9):905-911.
26. Kuiper JS, Oude Voshaar RC, Zuidema SU, et al. The relationship between social functioning and subjective memory complaints in older persons: a population-based longitudinal cohort study. Int J Geriatr Psychiatry. 2017;32(10):1059-1071.
27. Robert P, Onyike CU, Leentjens AF, et al. Proposed diagnostic criteria for apathy in Alzheimer’s disease and other neuropsychiatric disorders. Eur Psychiatry. 2009;24(2):98-104.
28. Marioni RE, Proust-Lima C, Amieva H, et al. Social activity, cognitive decline and dementia risk: a 20-year prospective cohort study. BMC Public Health. 2015;15:1089.
29. Wilson RS, Schneider JA, Boyle PA, et al. Chronic distress and incidence of mild cognitive impairment. Neurology. 2007;68(24):2085-2092.
30. Cai Z, Yan LJ, Ratka A. Telomere shortening and Alzheimer’s disease. Neuromolecular Med. 2013;15(1):25-48.
31. Wilson RS, Arnold SE, Schneider JA, et al. Chronic psychological distress and risk of Alzheimer’s disease in old age. Neuroepidemiology. 2006;27(3):143-153.
32. Epel E, Daubenmier J, Moskowitz JT, et al. Can meditation slow rate of cellular aging? Cognitive stress, mindfulness, and telomeres. Ann N Y Acad Sci. 2009;1172:34-53.
33. Malinowski P, Moore AW, Mead Br, et al. Mindful aging: the effects of regular brief mindfulness practice on electrophysiological markers of cognitive and affective processing in older adults. Mindfulness (N Y). 2017;8(1):78-94.
34. Taren AA, Gianaros PJ, Greco CM, et al. Mindfulness meditation training and executive control network resting state functional connectivity: a randomized controlled trial. Psychosom Med. 2017;79(6):674-683.
35. Fountain-Zaragoza S, Prakash RS. Mindfulness training for healthy aging: impact on attention, well-being, and inflammation. Front in Aging Neurosci. 2017;9:11.
36. Eyre HA, Siddarth P, Acevedo B, et al. A randomized controlled trial of Kundalini yoga in mild cognitive impairment. Int Psychogeriatr. 2017;29(4):557-567.
37. Khalsa DS. Stress, meditation, and Alzheimer’s disease prevention: where the evidence stands. J Alzheimers Dis. 2015;48(1):1-12.
38. Berk L, van Boxtel M, van Os J. Can mindfulness-based interventions influence cognitive functioning in older adults? A review and considerations for future research. Aging Ment Health. 2017;21(11):1113-1120.
39. Hosseini S, Chaurasia A, Oremus M. The effect of religion and spirituality on cognitive function: a systematic review. Gerontologist. 2017. doi: 10.1093/geront/gnx024.
40. Luchsinger JA, Tang MX, Shea S, et al. Caloric intake and the risk of Alzheimer disease. Arch Neurol. 2002;59(8):1258-1263.
41. Grant WB. Trends in diet and Alzheimer’s disease during the nutrition transition in Japan and developing countries. J Alzheimers Dis. 2014;38(3):611-620.
42. Kanoski SE, Davidson TL. Western diet consumption and cognitive impairment: links to hippocampal dysfunction and obesity. Physiol Behav. 2011;103(1):59-68.
43. Hu N, Yu JT, Tan L, et al. Nutrition and the risk of Alzheimer’s disease. Biomed Res Int. 2013;2013:524820. doi: 10.1155/2013/524820.
44. Taylor MK, Sullivan DK, Swerdlow RH, et al. A high-glycemic diet is associated with cerebral amyloid burden in cognitively normal older adults. Am J Clin Nutr. 2017;106(6):1463-1470.
45. van de Rest O, Berendsen AM, Haveman-Nies A, et al. Dietary patterns, cognitive decline, and dementia: a systematic review. Adv Nutr. 2015;6(2):154-168.
46. Petersson SD, Philippou E. Mediterranean diet, cognitive function, and dementia: a systematic review of the evidence. Adv Nutr. 2016;7(5):889-904.
47. Smith PJ, Blumenthal JA, Babyak MA, et al. Effects of the dietary approaches to stop hypertension diet, exercise, and caloric restriction on neurocognition in overweight adults with high blood pressure. Hypertension. 2010;55(6):1331-1338.
48. Wengreen H, Munger RG, Cutler A, et al. Prospective study of dietary approaches to stop hypertension- and Mediterranean-style dietary patterns and age-related cognitive change: the Cache County study on memory, health and aging. Am J Clin Nutr. 2013;98(5):1263-1271.
49. Tangney CC, Li H, Wang Y, et al. Relation of DASH- and Mediterranean-like dietary patterns to cognitive decline in older persons. Neurology. 2014;83(16):1410-1416.
50. Morris MC, Tangney CC, Wang Y, et al. MIND diet associated with reduced incidence of Alzheimer’s disease. Alzheimers Dement. 2015;11(9):1007-1014.
51. Desai AK, Rush J, Naveen L, et al. Nutrition and nutritional supplements to promote brain health. In: Hartman-Stein PE, Rue AL, eds. Enhancing cognitive fitness in adults: a guide to the use and development of community-based programs. New York, NY: Springer; 2011:249-269.
52. Goozee KG, Shah TM, Sohrabi HR, et al. Examining the potential clinical value of curcumin in the prevention and diagnosis of Alzheimer’s disease. Br J Nutr. 2016;115(3):449-465.
53. Small GW, Siddarth P, Li Z, et al. Memory and brain amyloid and tau effects of a bioavailable form of curcumin in non-demented adults: a double-blind, placebo-controlled 18-month trial. Am J Geriatr Psychiatry. 2018;26(3):266-277.
54. Kim JW, Lee DY, Lee BC, et al. Alcohol and cognition in the elderly: a review. Psychiatry Investig. 2012;9(1):8-16.
55. Virtaa JJ, Järvenpää T, Heikkilä K, et al. Midlife alcohol consumption and later risk of cognitive impairment: a twin follow-up study. J Alzheimers Dis. 2010;22(3):939-948.
56. Kerr WC, Stockwell T. Understanding standard drinks and drinking guidelines. Drug and Alcohol Rev. 2012;31(2):200-205.
57. National Institute on Alcohol Abuse and Alcoholism. Drinking levels defined. https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking. Accessed December 9, 2017.
58. National Institute on Alcohol Abuse and Alcoholism. What is a standard drink? https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/what-standard-drink. Accessed November 9, 2017.
59. Lindsay J, Laurin D, Verreault R, et al. Risk factors for Alzheimer’s disease: a prospective analysis from the Canadian study of health and aging. Am J Epidemiol. 2002;156(5):445-453.
60. Orgogozo JM, Dartigues JF, Lafont S, et al. Wine consumption and dementia in the elderly: a prospective community study in the Bordeaux area. Rev Neurol (Paris). 1997;153(3):185-192.
61. Topiwala A, Allan CL, Valkanova V, et al. Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study. BMJ. 2017;357.
62. Venkataraman A, Kalk N, Sewell G, et al. Alcohol and Alzheimer’s disease-does alcohol dependence contribute to beta-amyloid deposition, neuroinflammation and neurodegeneration in Alzheimer’s Disease? Alcohol Alcohol. 2017;52(2):151-158.
63. Ma QP, Huang C, Cui QY, et al. Meta-analysis of the association between tea intake and the risk of cognitive disorders. PLoS One. 2016;11(11):e0165861. doi: 10.1371/journal.pone.0165861.
64. Santos C, Costa J, Santos J, et al. Caffeine intake and dementia: systematic review and meta-analysis. J Alzheimers Dis. 2010;20(Suppl 1):S187-204.
65. Panza F, Solfrizzi V, Barulli MR, et al. Coffee, tea, and caffeine consumption and prevention of late-life cognitive decline and dementia: a systematic review. J Nutr Health Aging. 2015;19(3):313-328.
66. Wierzejska R. Can coffee consumption lower the risk of Alzheimer’s disease and Parkinson’s disease? A literature review. Arch Med Sci. 2017;13(3):507-514.
67. Arendash GW, Cao C. Caffeine and coffee as therapeutics against Alzheimer’s disease. J Alzheimers Dis. 2010;20 (Suppl 1):S117-S126.
68. Eskelinen MH, Ngandu T, Tuomilehto J, et al. Midlife coffee and tea drinking and the risk of late-life dementia: a population-based CAIDE study. J Alzheimers Dis. 2009;16(1):85-91.
69. Solfrizzi V, Panza F, Imbimbo BP, et al. Coffee consumption habits and the risk of mild cognitive impairment: the Italian longitudinal study on aging. J Alzheimers Dis. 2015;47(4):889-899.
70. Vittoria Mattioli. Beverages of daily life: impact of caffeine on atrial fibrillation. J Atr Fibrillation. 2014;7(2):1133.
71. Chacko SM, Thambi PT, Kuttan R, et al. Beneficial effects of green tea: a literature review. Chin Med. 2010;5:13.
72. Noguchi-Shinohara M, Yuki S, Dohmoto C, et al. Consumption of green tea, but not black tea or coffee, is associated with reduced risk of cognitive decline. PLoS One. 2014;9(5):e96013. doi: 10.1371/journal.pone.0096013.
73. Schneider N, Yvon C. A review of multidomain interventions to support healthy cognitive ageing. J Nutr Health Aging. 2013;17(3):252-257.
74. Ngandu T, Lehitsalo J, Solomon A, et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial. Lancet. 2015;385(9984):2255-2263.
75. U.S. National Library of Medicing. ClinicalTrials.gov. U.S. study to protect brain health through lifestyle intervention to reduce risk (POINTER). https://clinicaltrials.gov/ct2/show/NCT03688126?term=pointer&cond=Alzheimer+Disease&rank=1. Published September 28, 2018. Accessed November 3, 2018.

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16. Livingston G, Sommerlad A, Orgeta V, et al. Dementia prevention, intervention, and care. Lancet. 2017;390(10113);2673-2734.
17. Valenzuela MJ, Sachdev P, Wen W, et al. Lifespan mental activity predicts diminished rate of hippocampal atrophy. PLoS One. 2008;3(7):e2598. doi.org/10.1371/journal.pone.0002598.
18. Wilson RS, Bennett DA, Bienias JL, et al. Cognitive activity and incident AD in a population-based sample of older persons. Neurology. 2002;59(12):1910-1914.
19. Wilson RS, Scherr PA, Schneider JA, et al. Relation of cognitive activity to risk of developing Alzheimer disease. Neurology. 2007;69(20):1911-1920.
20. Krell-Roesch J, Vemuri P, Pink A, et al. Association between mentally stimulating activities in late life and the outcome of incident mild cognitive impairment, with an analysis of the apoe ε4 genotype. JAMA Neurol. 2017;74(3):332-338.
21. Verghese J, Lipton RB, Katz MJ, et al. Leisure activities and the risk of dementia in the elderly. N Engl J Med. 2003;348(25):2508-2516.
22. Klein RM, Christie J, Parkvall M. Does multilingualism affect the incidence of Alzheimer’s disease?: a worldwide analysis by country. SSM Popul Health. 2016;2:463-467.
23. Grundy JG, Anderson JAE, Bialystok E. Neural correlates of cognitive processing in monolinguals and bilinguals. Ann N Y Acad Sci. 2017;1396(1):183-201.
24. Wilson RS, Krueger KR, Arnold SE, et al. Loneliness and risk of Alzheimer disease. Arch Gen Psychiatry. 2007;64(2):234-240.
25. Amieva H, Stoykova R, Matharan F, et al. What aspects of social network are protective for dementia? Not the quantity but the quality of social interactions is protective up to 15 years later. Psychosom Med. 2010;72(9):905-911.
26. Kuiper JS, Oude Voshaar RC, Zuidema SU, et al. The relationship between social functioning and subjective memory complaints in older persons: a population-based longitudinal cohort study. Int J Geriatr Psychiatry. 2017;32(10):1059-1071.
27. Robert P, Onyike CU, Leentjens AF, et al. Proposed diagnostic criteria for apathy in Alzheimer’s disease and other neuropsychiatric disorders. Eur Psychiatry. 2009;24(2):98-104.
28. Marioni RE, Proust-Lima C, Amieva H, et al. Social activity, cognitive decline and dementia risk: a 20-year prospective cohort study. BMC Public Health. 2015;15:1089.
29. Wilson RS, Schneider JA, Boyle PA, et al. Chronic distress and incidence of mild cognitive impairment. Neurology. 2007;68(24):2085-2092.
30. Cai Z, Yan LJ, Ratka A. Telomere shortening and Alzheimer’s disease. Neuromolecular Med. 2013;15(1):25-48.
31. Wilson RS, Arnold SE, Schneider JA, et al. Chronic psychological distress and risk of Alzheimer’s disease in old age. Neuroepidemiology. 2006;27(3):143-153.
32. Epel E, Daubenmier J, Moskowitz JT, et al. Can meditation slow rate of cellular aging? Cognitive stress, mindfulness, and telomeres. Ann N Y Acad Sci. 2009;1172:34-53.
33. Malinowski P, Moore AW, Mead Br, et al. Mindful aging: the effects of regular brief mindfulness practice on electrophysiological markers of cognitive and affective processing in older adults. Mindfulness (N Y). 2017;8(1):78-94.
34. Taren AA, Gianaros PJ, Greco CM, et al. Mindfulness meditation training and executive control network resting state functional connectivity: a randomized controlled trial. Psychosom Med. 2017;79(6):674-683.
35. Fountain-Zaragoza S, Prakash RS. Mindfulness training for healthy aging: impact on attention, well-being, and inflammation. Front in Aging Neurosci. 2017;9:11.
36. Eyre HA, Siddarth P, Acevedo B, et al. A randomized controlled trial of Kundalini yoga in mild cognitive impairment. Int Psychogeriatr. 2017;29(4):557-567.
37. Khalsa DS. Stress, meditation, and Alzheimer’s disease prevention: where the evidence stands. J Alzheimers Dis. 2015;48(1):1-12.
38. Berk L, van Boxtel M, van Os J. Can mindfulness-based interventions influence cognitive functioning in older adults? A review and considerations for future research. Aging Ment Health. 2017;21(11):1113-1120.
39. Hosseini S, Chaurasia A, Oremus M. The effect of religion and spirituality on cognitive function: a systematic review. Gerontologist. 2017. doi: 10.1093/geront/gnx024.
40. Luchsinger JA, Tang MX, Shea S, et al. Caloric intake and the risk of Alzheimer disease. Arch Neurol. 2002;59(8):1258-1263.
41. Grant WB. Trends in diet and Alzheimer’s disease during the nutrition transition in Japan and developing countries. J Alzheimers Dis. 2014;38(3):611-620.
42. Kanoski SE, Davidson TL. Western diet consumption and cognitive impairment: links to hippocampal dysfunction and obesity. Physiol Behav. 2011;103(1):59-68.
43. Hu N, Yu JT, Tan L, et al. Nutrition and the risk of Alzheimer’s disease. Biomed Res Int. 2013;2013:524820. doi: 10.1155/2013/524820.
44. Taylor MK, Sullivan DK, Swerdlow RH, et al. A high-glycemic diet is associated with cerebral amyloid burden in cognitively normal older adults. Am J Clin Nutr. 2017;106(6):1463-1470.
45. van de Rest O, Berendsen AM, Haveman-Nies A, et al. Dietary patterns, cognitive decline, and dementia: a systematic review. Adv Nutr. 2015;6(2):154-168.
46. Petersson SD, Philippou E. Mediterranean diet, cognitive function, and dementia: a systematic review of the evidence. Adv Nutr. 2016;7(5):889-904.
47. Smith PJ, Blumenthal JA, Babyak MA, et al. Effects of the dietary approaches to stop hypertension diet, exercise, and caloric restriction on neurocognition in overweight adults with high blood pressure. Hypertension. 2010;55(6):1331-1338.
48. Wengreen H, Munger RG, Cutler A, et al. Prospective study of dietary approaches to stop hypertension- and Mediterranean-style dietary patterns and age-related cognitive change: the Cache County study on memory, health and aging. Am J Clin Nutr. 2013;98(5):1263-1271.
49. Tangney CC, Li H, Wang Y, et al. Relation of DASH- and Mediterranean-like dietary patterns to cognitive decline in older persons. Neurology. 2014;83(16):1410-1416.
50. Morris MC, Tangney CC, Wang Y, et al. MIND diet associated with reduced incidence of Alzheimer’s disease. Alzheimers Dement. 2015;11(9):1007-1014.
51. Desai AK, Rush J, Naveen L, et al. Nutrition and nutritional supplements to promote brain health. In: Hartman-Stein PE, Rue AL, eds. Enhancing cognitive fitness in adults: a guide to the use and development of community-based programs. New York, NY: Springer; 2011:249-269.
52. Goozee KG, Shah TM, Sohrabi HR, et al. Examining the potential clinical value of curcumin in the prevention and diagnosis of Alzheimer’s disease. Br J Nutr. 2016;115(3):449-465.
53. Small GW, Siddarth P, Li Z, et al. Memory and brain amyloid and tau effects of a bioavailable form of curcumin in non-demented adults: a double-blind, placebo-controlled 18-month trial. Am J Geriatr Psychiatry. 2018;26(3):266-277.
54. Kim JW, Lee DY, Lee BC, et al. Alcohol and cognition in the elderly: a review. Psychiatry Investig. 2012;9(1):8-16.
55. Virtaa JJ, Järvenpää T, Heikkilä K, et al. Midlife alcohol consumption and later risk of cognitive impairment: a twin follow-up study. J Alzheimers Dis. 2010;22(3):939-948.
56. Kerr WC, Stockwell T. Understanding standard drinks and drinking guidelines. Drug and Alcohol Rev. 2012;31(2):200-205.
57. National Institute on Alcohol Abuse and Alcoholism. Drinking levels defined. https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking. Accessed December 9, 2017.
58. National Institute on Alcohol Abuse and Alcoholism. What is a standard drink? https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/what-standard-drink. Accessed November 9, 2017.
59. Lindsay J, Laurin D, Verreault R, et al. Risk factors for Alzheimer’s disease: a prospective analysis from the Canadian study of health and aging. Am J Epidemiol. 2002;156(5):445-453.
60. Orgogozo JM, Dartigues JF, Lafont S, et al. Wine consumption and dementia in the elderly: a prospective community study in the Bordeaux area. Rev Neurol (Paris). 1997;153(3):185-192.
61. Topiwala A, Allan CL, Valkanova V, et al. Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study. BMJ. 2017;357.
62. Venkataraman A, Kalk N, Sewell G, et al. Alcohol and Alzheimer’s disease-does alcohol dependence contribute to beta-amyloid deposition, neuroinflammation and neurodegeneration in Alzheimer’s Disease? Alcohol Alcohol. 2017;52(2):151-158.
63. Ma QP, Huang C, Cui QY, et al. Meta-analysis of the association between tea intake and the risk of cognitive disorders. PLoS One. 2016;11(11):e0165861. doi: 10.1371/journal.pone.0165861.
64. Santos C, Costa J, Santos J, et al. Caffeine intake and dementia: systematic review and meta-analysis. J Alzheimers Dis. 2010;20(Suppl 1):S187-204.
65. Panza F, Solfrizzi V, Barulli MR, et al. Coffee, tea, and caffeine consumption and prevention of late-life cognitive decline and dementia: a systematic review. J Nutr Health Aging. 2015;19(3):313-328.
66. Wierzejska R. Can coffee consumption lower the risk of Alzheimer’s disease and Parkinson’s disease? A literature review. Arch Med Sci. 2017;13(3):507-514.
67. Arendash GW, Cao C. Caffeine and coffee as therapeutics against Alzheimer’s disease. J Alzheimers Dis. 2010;20 (Suppl 1):S117-S126.
68. Eskelinen MH, Ngandu T, Tuomilehto J, et al. Midlife coffee and tea drinking and the risk of late-life dementia: a population-based CAIDE study. J Alzheimers Dis. 2009;16(1):85-91.
69. Solfrizzi V, Panza F, Imbimbo BP, et al. Coffee consumption habits and the risk of mild cognitive impairment: the Italian longitudinal study on aging. J Alzheimers Dis. 2015;47(4):889-899.
70. Vittoria Mattioli. Beverages of daily life: impact of caffeine on atrial fibrillation. J Atr Fibrillation. 2014;7(2):1133.
71. Chacko SM, Thambi PT, Kuttan R, et al. Beneficial effects of green tea: a literature review. Chin Med. 2010;5:13.
72. Noguchi-Shinohara M, Yuki S, Dohmoto C, et al. Consumption of green tea, but not black tea or coffee, is associated with reduced risk of cognitive decline. PLoS One. 2014;9(5):e96013. doi: 10.1371/journal.pone.0096013.
73. Schneider N, Yvon C. A review of multidomain interventions to support healthy cognitive ageing. J Nutr Health Aging. 2013;17(3):252-257.
74. Ngandu T, Lehitsalo J, Solomon A, et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial. Lancet. 2015;385(9984):2255-2263.
75. U.S. National Library of Medicing. ClinicalTrials.gov. U.S. study to protect brain health through lifestyle intervention to reduce risk (POINTER). https://clinicaltrials.gov/ct2/show/NCT03688126?term=pointer&cond=Alzheimer+Disease&rank=1. Published September 28, 2018. Accessed November 3, 2018.

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No change in postoperative pain with restrictive opioid protocol

“A promising strategy” to reduce opioid prescriptions
Article Type
Changed
Wed, 01/02/2019 - 10:18

Opioid prescriptions after gynecologic surgery can be significantly reduced without impacting postoperative pain scores or complication rates, according to a paper published in JAMA Network Open.

A tertiary care comprehensive care center implemented an ultrarestrictive opioid prescription protocol (UROPP) then evaluated the outcomes in a case-control study involving 605 women undergoing gynecologic surgery, compared with 626 controls treated before implementation of the new protocol.

The ultrarestrictive protocol was prompted by frequent inquiries from patients who had used very little of their prescribed opioids after surgery and wanted to know what to do with the unused pills.

The new protocol involved a short preoperative counseling session about postoperative pain management. Following that, ambulatory surgery, minimally invasive surgery, or laparotomy patients were prescribed a 7-day supply of nonopioid pain relief. Laparotomy patients were also prescribed a 3-day supply of an oral opioid.

Any patients who required more than five opioid doses in the 24 hours before discharge were also prescribed a 3-day supply of opioid pain medication as needed, and all patients had the option of requesting an additional 3-day opioid refill.

Researchers saw no significant differences between the two groups in mean postoperative pain scores 2 weeks after surgery, and a similar number of patients in each group requested an opioid refill. There was also no significant difference in the number of postoperative complications between groups.

Implementation of the ultrarestrictive protocol was associated with significant declines in the mean number of opioid pills prescribed dropped from 31.7 to 3.5 in all surgical cases, from 43.6 to 12.1 in the laparotomy group, from 38.4 to 1.3 in the minimally invasive surgery group, and from 13.9 to 0.2 in patients who underwent ambulatory surgery.

“These data suggest that the implementation of a UROPP in a large surgical service is feasible and safe and was associated with a significantly decreased number of opioids dispensed during the perioperative period, particularly among opioid-naive patients,” wrote Jaron Mark, MD, of the department of gynecologic oncology at Roswell Park Comprehensive Cancer Center, Buffalo, N.Y., and his coauthors. “The opioid-sparing effect was also marked and statistically significant in the laparotomy group, where most patients remained physically active and recovered well with no negative sequelae or elevated pain score after surgery.”

The researchers also noted that patients who were discharged home with an opioid prescription were more likely to call and request a refill within 30 days, compared with patients who did not receive opioids at discharge.

The study was supported by the Roswell Park Comprehensive Cancer Center, the National Cancer Institute and the Roswell Park Alliance Foundation. Two authors reported receiving fees and nonfinancial support from the private sector unrelated to the study.

SOURCE: Mark J et al. JAMA Netw Open. 2018 Dec 7. doi: 10.1001/jamanetworkopen.2018.5452.
 

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The ultrarestrictive postoperative opioid prescribing protocol described in this study is a promising strategy for reducing opioid prescribing without increasing pain and limiting the potential for diversion and misuse of opioids. An important element of this protocol is the preoperative counseling, because setting patient expectations is likely to be an important factor in improving postoperative outcomes.

It is also worth noting that this study focused on patients undergoing major and minor gynecologic surgery, so more research is needed to explore these outcomes particularly among patients undergoing procedures that may be associated with a higher risk of persistent postoperative pain and/or opioid use. It is also a management strategy explored in patients at low risk of chronic postoperative opioid use, but a similar pathway should be developed and explored in more high-risk patients.

Dr. Jennifer M. Hah is from the department of anesthesiology, perioperative, and pain management at Stanford University (Calif.). These comments are taken from an accompanying editorial (JAMA Network Open. 2018 Dec 7. doi: 10.1001/jamanetworkopen.2018.5432). No conflicts of interest were reported.

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The ultrarestrictive postoperative opioid prescribing protocol described in this study is a promising strategy for reducing opioid prescribing without increasing pain and limiting the potential for diversion and misuse of opioids. An important element of this protocol is the preoperative counseling, because setting patient expectations is likely to be an important factor in improving postoperative outcomes.

It is also worth noting that this study focused on patients undergoing major and minor gynecologic surgery, so more research is needed to explore these outcomes particularly among patients undergoing procedures that may be associated with a higher risk of persistent postoperative pain and/or opioid use. It is also a management strategy explored in patients at low risk of chronic postoperative opioid use, but a similar pathway should be developed and explored in more high-risk patients.

Dr. Jennifer M. Hah is from the department of anesthesiology, perioperative, and pain management at Stanford University (Calif.). These comments are taken from an accompanying editorial (JAMA Network Open. 2018 Dec 7. doi: 10.1001/jamanetworkopen.2018.5432). No conflicts of interest were reported.

Body

 

The ultrarestrictive postoperative opioid prescribing protocol described in this study is a promising strategy for reducing opioid prescribing without increasing pain and limiting the potential for diversion and misuse of opioids. An important element of this protocol is the preoperative counseling, because setting patient expectations is likely to be an important factor in improving postoperative outcomes.

It is also worth noting that this study focused on patients undergoing major and minor gynecologic surgery, so more research is needed to explore these outcomes particularly among patients undergoing procedures that may be associated with a higher risk of persistent postoperative pain and/or opioid use. It is also a management strategy explored in patients at low risk of chronic postoperative opioid use, but a similar pathway should be developed and explored in more high-risk patients.

Dr. Jennifer M. Hah is from the department of anesthesiology, perioperative, and pain management at Stanford University (Calif.). These comments are taken from an accompanying editorial (JAMA Network Open. 2018 Dec 7. doi: 10.1001/jamanetworkopen.2018.5432). No conflicts of interest were reported.

Title
“A promising strategy” to reduce opioid prescriptions
“A promising strategy” to reduce opioid prescriptions

Opioid prescriptions after gynecologic surgery can be significantly reduced without impacting postoperative pain scores or complication rates, according to a paper published in JAMA Network Open.

A tertiary care comprehensive care center implemented an ultrarestrictive opioid prescription protocol (UROPP) then evaluated the outcomes in a case-control study involving 605 women undergoing gynecologic surgery, compared with 626 controls treated before implementation of the new protocol.

The ultrarestrictive protocol was prompted by frequent inquiries from patients who had used very little of their prescribed opioids after surgery and wanted to know what to do with the unused pills.

The new protocol involved a short preoperative counseling session about postoperative pain management. Following that, ambulatory surgery, minimally invasive surgery, or laparotomy patients were prescribed a 7-day supply of nonopioid pain relief. Laparotomy patients were also prescribed a 3-day supply of an oral opioid.

Any patients who required more than five opioid doses in the 24 hours before discharge were also prescribed a 3-day supply of opioid pain medication as needed, and all patients had the option of requesting an additional 3-day opioid refill.

Researchers saw no significant differences between the two groups in mean postoperative pain scores 2 weeks after surgery, and a similar number of patients in each group requested an opioid refill. There was also no significant difference in the number of postoperative complications between groups.

Implementation of the ultrarestrictive protocol was associated with significant declines in the mean number of opioid pills prescribed dropped from 31.7 to 3.5 in all surgical cases, from 43.6 to 12.1 in the laparotomy group, from 38.4 to 1.3 in the minimally invasive surgery group, and from 13.9 to 0.2 in patients who underwent ambulatory surgery.

“These data suggest that the implementation of a UROPP in a large surgical service is feasible and safe and was associated with a significantly decreased number of opioids dispensed during the perioperative period, particularly among opioid-naive patients,” wrote Jaron Mark, MD, of the department of gynecologic oncology at Roswell Park Comprehensive Cancer Center, Buffalo, N.Y., and his coauthors. “The opioid-sparing effect was also marked and statistically significant in the laparotomy group, where most patients remained physically active and recovered well with no negative sequelae or elevated pain score after surgery.”

The researchers also noted that patients who were discharged home with an opioid prescription were more likely to call and request a refill within 30 days, compared with patients who did not receive opioids at discharge.

The study was supported by the Roswell Park Comprehensive Cancer Center, the National Cancer Institute and the Roswell Park Alliance Foundation. Two authors reported receiving fees and nonfinancial support from the private sector unrelated to the study.

SOURCE: Mark J et al. JAMA Netw Open. 2018 Dec 7. doi: 10.1001/jamanetworkopen.2018.5452.
 

Opioid prescriptions after gynecologic surgery can be significantly reduced without impacting postoperative pain scores or complication rates, according to a paper published in JAMA Network Open.

A tertiary care comprehensive care center implemented an ultrarestrictive opioid prescription protocol (UROPP) then evaluated the outcomes in a case-control study involving 605 women undergoing gynecologic surgery, compared with 626 controls treated before implementation of the new protocol.

The ultrarestrictive protocol was prompted by frequent inquiries from patients who had used very little of their prescribed opioids after surgery and wanted to know what to do with the unused pills.

The new protocol involved a short preoperative counseling session about postoperative pain management. Following that, ambulatory surgery, minimally invasive surgery, or laparotomy patients were prescribed a 7-day supply of nonopioid pain relief. Laparotomy patients were also prescribed a 3-day supply of an oral opioid.

Any patients who required more than five opioid doses in the 24 hours before discharge were also prescribed a 3-day supply of opioid pain medication as needed, and all patients had the option of requesting an additional 3-day opioid refill.

Researchers saw no significant differences between the two groups in mean postoperative pain scores 2 weeks after surgery, and a similar number of patients in each group requested an opioid refill. There was also no significant difference in the number of postoperative complications between groups.

Implementation of the ultrarestrictive protocol was associated with significant declines in the mean number of opioid pills prescribed dropped from 31.7 to 3.5 in all surgical cases, from 43.6 to 12.1 in the laparotomy group, from 38.4 to 1.3 in the minimally invasive surgery group, and from 13.9 to 0.2 in patients who underwent ambulatory surgery.

“These data suggest that the implementation of a UROPP in a large surgical service is feasible and safe and was associated with a significantly decreased number of opioids dispensed during the perioperative period, particularly among opioid-naive patients,” wrote Jaron Mark, MD, of the department of gynecologic oncology at Roswell Park Comprehensive Cancer Center, Buffalo, N.Y., and his coauthors. “The opioid-sparing effect was also marked and statistically significant in the laparotomy group, where most patients remained physically active and recovered well with no negative sequelae or elevated pain score after surgery.”

The researchers also noted that patients who were discharged home with an opioid prescription were more likely to call and request a refill within 30 days, compared with patients who did not receive opioids at discharge.

The study was supported by the Roswell Park Comprehensive Cancer Center, the National Cancer Institute and the Roswell Park Alliance Foundation. Two authors reported receiving fees and nonfinancial support from the private sector unrelated to the study.

SOURCE: Mark J et al. JAMA Netw Open. 2018 Dec 7. doi: 10.1001/jamanetworkopen.2018.5452.
 

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Key clinical point: A ultrarestrictive postoperative opioid protocol is not associated with higher postoperative pain scores.

Major finding: The protocol achieves significant reductions in opioid use.

Study details: A case-control study in 1,231 women undergoing gynecologic surgery.

Disclosures: The study was supported by the Roswell Park Comprehensive Cancer Center, the National Cancer Institute, and the Roswell Park Alliance Foundation. Two authors reported receiving fees and nonfinancial support from the private sector unrelated to the study.

Source: Mark J et al. JAMA Netw Open. 2018 Dec 7. doi: 10.1001/jamanetworkopen.2018.5452.

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Can higher MAP post cardiac arrest improve neurologic outcomes?

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CHICAGO – A European clinical trial that targeted a mean arterial blood pressure after cardiac arrest higher than what the existing guidelines recommend found that the approach was safe, improved blood flow and oxygen to the brain, helped patients recover quicker, and reduced the number of adverse cardiac events, although it did not reduce the extent of anoxic brain damage or improve functional outcomes, the lead investigator reported at the American Heart Association scientific sessions.

Dr. Koen Ameloot

The Neuroprotect trial randomly assigned 112 adult survivors of an out-of-hospital cardiac arrest who were unconscious upon admission to two study groups: early goal-directed hemodynamic optimization (EGDHO), in which researchers used a targeted mean arterial pressure (MAP) of 85-100 mm Hg and mixed venous oxygen saturation between 65% and 75% during the first 36 hours after ICU admission; and the standard care group, in which they used the guideline-recommended MAP target of 65 mm Hg, said Koen Ameloot, MD, of East Limburg Hospital in Genk, Belgium.

“EGDHO clearly improved cerebral perfusion and oxygenation, thereby for the first time providing the proof of concept for this new hemodynamic target,” Dr. Ameloot said. “However, this did not result in the reduction of the extent of anoxic brain hemorrhage or effusion rate on MRI or an improvement in functional outcome at 180 days.”

He noted the trial was predicated on improving upon the so-called “two-hit” model of cardiac arrest sequelae: the first hit being the no-flow and low-flow period before achieving restoration of spontaneous circulation; the second hit being hypoperfusion and reperfusion injury during ICU stay.

Dr. Ameloot referenced a study in which he and other coauthors reported that patients with a MAP target of 65 mm Hg “experience a profound drop of cerebral oxygen saturation during the first 12 hours of ICU stay that may cause additional brain damage” (Resuscitation. 2018;123:92-7).

The researchers explored the question of what is the optimal MAP if a target of 65 mm Hg is too low, Dr. Ameloot said. “We showed that maximal brain oxygenation is achieved with a MAP of 100 mm Hg, while lower MAPs were associated with submaximal brain perfusion and higher MAPs with excessive after-load, a reduction in stroke volume, and suboptimal cerebral oxygenation.”

During the 36-hour intervention period, the EGDHO patients received higher doses of norepinephrine, Dr. Ameloot said. “This resulted in significant improvement of cerebral oxygenation during the first 12 hours and was paralleled by significantly higher cerebral perfusion in the subset of patients in whom Doppler measurements were performed,” he said. “While patients allocated to the MAP 65 mm Hg target experienced a profound drop of cerebral oxygenation during the critical first 6-12 hours of ICU stay, cerebral oxygenation was maintained at 67% in patients assigned to EGDHO.”



However, the rate of anoxic brain damage, measured as the percentage of irreversibly damaged anoxic voxels on diffusion-weighted MRI – the primary endpoint of the study – was actually higher in the EGDHO group, 16% vs. 12%, Dr. Ameloot said. “The percentage of anoxic voxels was only a poor predictor of favorable neurological outcome at 180 days, questioning the validity of the primary endpoint,” he said. He also noted that 23% of the trial participants did not have an MRI scan because of higher than expected 5-day rates of death.

“The percentage of patients with favorable neurological outcome tended to be somewhat higher in the intervention arm, although this did not reach statistical significance at ICU discharge and at 180 days,” Dr. Ameloot said. He noted that 42% of the intervention group and 33% of controls in the full-analysis set (P = .30) and 43% and 27%, respectively, in the per-protocol set (P = .15) had a favorable neurological outcome, as calculated using the Glasgow-Pittsburgh Cerebral Performance Category scores of 1 or 2, at 180 days.

The study did not reveal any noteworthy differences in ICU stay (7 vs. 8 days, P = .13) or days on mechanical ventilation (5 vs. 7, P = .31), although fewer patients in the EGDHO group required a tracheostomy (4% vs. 18%, P = .02). The intervention group also had lower rates of cardiac events, including recurrent cardiac arrest, limb ischemia, new atrial fibrillation, and pulmonary edema (13% vs. 33%; P = .02), Dr. Ameloot said.

Future post-hoc analyses of the data will explore the hypothesis that higher blood pressure leads to improved coronary perfusion and reduced infarct size, thus improving prognosis, he added.

“Should this trial therefore be the definite end to the promising hypothesis that improving brain oxygenation might reduce the second hit in post–cardiac arrest patients? I don’t think so,” Dr. Ameloot said. He noted a few limits to the study: that the perfusion rate on MRI was a poor predictor of 180-day outcome; that more patients than expected entered the trial without receiving basic life support and with nonshockable rhythms; and that there was possibly less extensive brain damage among controls at baseline. “Only an adequately powered clinical trial can provide an answer about the effects of EGDHO in post–cardiac arrest patients,” Dr. Ameloot said.

Dr. Ameloot had no financial relationships to disclose.

SOURCE: Ameloot K et al. AHA 2018, Abstract 18620
 

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CHICAGO – A European clinical trial that targeted a mean arterial blood pressure after cardiac arrest higher than what the existing guidelines recommend found that the approach was safe, improved blood flow and oxygen to the brain, helped patients recover quicker, and reduced the number of adverse cardiac events, although it did not reduce the extent of anoxic brain damage or improve functional outcomes, the lead investigator reported at the American Heart Association scientific sessions.

Dr. Koen Ameloot

The Neuroprotect trial randomly assigned 112 adult survivors of an out-of-hospital cardiac arrest who were unconscious upon admission to two study groups: early goal-directed hemodynamic optimization (EGDHO), in which researchers used a targeted mean arterial pressure (MAP) of 85-100 mm Hg and mixed venous oxygen saturation between 65% and 75% during the first 36 hours after ICU admission; and the standard care group, in which they used the guideline-recommended MAP target of 65 mm Hg, said Koen Ameloot, MD, of East Limburg Hospital in Genk, Belgium.

“EGDHO clearly improved cerebral perfusion and oxygenation, thereby for the first time providing the proof of concept for this new hemodynamic target,” Dr. Ameloot said. “However, this did not result in the reduction of the extent of anoxic brain hemorrhage or effusion rate on MRI or an improvement in functional outcome at 180 days.”

He noted the trial was predicated on improving upon the so-called “two-hit” model of cardiac arrest sequelae: the first hit being the no-flow and low-flow period before achieving restoration of spontaneous circulation; the second hit being hypoperfusion and reperfusion injury during ICU stay.

Dr. Ameloot referenced a study in which he and other coauthors reported that patients with a MAP target of 65 mm Hg “experience a profound drop of cerebral oxygen saturation during the first 12 hours of ICU stay that may cause additional brain damage” (Resuscitation. 2018;123:92-7).

The researchers explored the question of what is the optimal MAP if a target of 65 mm Hg is too low, Dr. Ameloot said. “We showed that maximal brain oxygenation is achieved with a MAP of 100 mm Hg, while lower MAPs were associated with submaximal brain perfusion and higher MAPs with excessive after-load, a reduction in stroke volume, and suboptimal cerebral oxygenation.”

During the 36-hour intervention period, the EGDHO patients received higher doses of norepinephrine, Dr. Ameloot said. “This resulted in significant improvement of cerebral oxygenation during the first 12 hours and was paralleled by significantly higher cerebral perfusion in the subset of patients in whom Doppler measurements were performed,” he said. “While patients allocated to the MAP 65 mm Hg target experienced a profound drop of cerebral oxygenation during the critical first 6-12 hours of ICU stay, cerebral oxygenation was maintained at 67% in patients assigned to EGDHO.”



However, the rate of anoxic brain damage, measured as the percentage of irreversibly damaged anoxic voxels on diffusion-weighted MRI – the primary endpoint of the study – was actually higher in the EGDHO group, 16% vs. 12%, Dr. Ameloot said. “The percentage of anoxic voxels was only a poor predictor of favorable neurological outcome at 180 days, questioning the validity of the primary endpoint,” he said. He also noted that 23% of the trial participants did not have an MRI scan because of higher than expected 5-day rates of death.

“The percentage of patients with favorable neurological outcome tended to be somewhat higher in the intervention arm, although this did not reach statistical significance at ICU discharge and at 180 days,” Dr. Ameloot said. He noted that 42% of the intervention group and 33% of controls in the full-analysis set (P = .30) and 43% and 27%, respectively, in the per-protocol set (P = .15) had a favorable neurological outcome, as calculated using the Glasgow-Pittsburgh Cerebral Performance Category scores of 1 or 2, at 180 days.

The study did not reveal any noteworthy differences in ICU stay (7 vs. 8 days, P = .13) or days on mechanical ventilation (5 vs. 7, P = .31), although fewer patients in the EGDHO group required a tracheostomy (4% vs. 18%, P = .02). The intervention group also had lower rates of cardiac events, including recurrent cardiac arrest, limb ischemia, new atrial fibrillation, and pulmonary edema (13% vs. 33%; P = .02), Dr. Ameloot said.

Future post-hoc analyses of the data will explore the hypothesis that higher blood pressure leads to improved coronary perfusion and reduced infarct size, thus improving prognosis, he added.

“Should this trial therefore be the definite end to the promising hypothesis that improving brain oxygenation might reduce the second hit in post–cardiac arrest patients? I don’t think so,” Dr. Ameloot said. He noted a few limits to the study: that the perfusion rate on MRI was a poor predictor of 180-day outcome; that more patients than expected entered the trial without receiving basic life support and with nonshockable rhythms; and that there was possibly less extensive brain damage among controls at baseline. “Only an adequately powered clinical trial can provide an answer about the effects of EGDHO in post–cardiac arrest patients,” Dr. Ameloot said.

Dr. Ameloot had no financial relationships to disclose.

SOURCE: Ameloot K et al. AHA 2018, Abstract 18620
 

 

CHICAGO – A European clinical trial that targeted a mean arterial blood pressure after cardiac arrest higher than what the existing guidelines recommend found that the approach was safe, improved blood flow and oxygen to the brain, helped patients recover quicker, and reduced the number of adverse cardiac events, although it did not reduce the extent of anoxic brain damage or improve functional outcomes, the lead investigator reported at the American Heart Association scientific sessions.

Dr. Koen Ameloot

The Neuroprotect trial randomly assigned 112 adult survivors of an out-of-hospital cardiac arrest who were unconscious upon admission to two study groups: early goal-directed hemodynamic optimization (EGDHO), in which researchers used a targeted mean arterial pressure (MAP) of 85-100 mm Hg and mixed venous oxygen saturation between 65% and 75% during the first 36 hours after ICU admission; and the standard care group, in which they used the guideline-recommended MAP target of 65 mm Hg, said Koen Ameloot, MD, of East Limburg Hospital in Genk, Belgium.

“EGDHO clearly improved cerebral perfusion and oxygenation, thereby for the first time providing the proof of concept for this new hemodynamic target,” Dr. Ameloot said. “However, this did not result in the reduction of the extent of anoxic brain hemorrhage or effusion rate on MRI or an improvement in functional outcome at 180 days.”

He noted the trial was predicated on improving upon the so-called “two-hit” model of cardiac arrest sequelae: the first hit being the no-flow and low-flow period before achieving restoration of spontaneous circulation; the second hit being hypoperfusion and reperfusion injury during ICU stay.

Dr. Ameloot referenced a study in which he and other coauthors reported that patients with a MAP target of 65 mm Hg “experience a profound drop of cerebral oxygen saturation during the first 12 hours of ICU stay that may cause additional brain damage” (Resuscitation. 2018;123:92-7).

The researchers explored the question of what is the optimal MAP if a target of 65 mm Hg is too low, Dr. Ameloot said. “We showed that maximal brain oxygenation is achieved with a MAP of 100 mm Hg, while lower MAPs were associated with submaximal brain perfusion and higher MAPs with excessive after-load, a reduction in stroke volume, and suboptimal cerebral oxygenation.”

During the 36-hour intervention period, the EGDHO patients received higher doses of norepinephrine, Dr. Ameloot said. “This resulted in significant improvement of cerebral oxygenation during the first 12 hours and was paralleled by significantly higher cerebral perfusion in the subset of patients in whom Doppler measurements were performed,” he said. “While patients allocated to the MAP 65 mm Hg target experienced a profound drop of cerebral oxygenation during the critical first 6-12 hours of ICU stay, cerebral oxygenation was maintained at 67% in patients assigned to EGDHO.”



However, the rate of anoxic brain damage, measured as the percentage of irreversibly damaged anoxic voxels on diffusion-weighted MRI – the primary endpoint of the study – was actually higher in the EGDHO group, 16% vs. 12%, Dr. Ameloot said. “The percentage of anoxic voxels was only a poor predictor of favorable neurological outcome at 180 days, questioning the validity of the primary endpoint,” he said. He also noted that 23% of the trial participants did not have an MRI scan because of higher than expected 5-day rates of death.

“The percentage of patients with favorable neurological outcome tended to be somewhat higher in the intervention arm, although this did not reach statistical significance at ICU discharge and at 180 days,” Dr. Ameloot said. He noted that 42% of the intervention group and 33% of controls in the full-analysis set (P = .30) and 43% and 27%, respectively, in the per-protocol set (P = .15) had a favorable neurological outcome, as calculated using the Glasgow-Pittsburgh Cerebral Performance Category scores of 1 or 2, at 180 days.

The study did not reveal any noteworthy differences in ICU stay (7 vs. 8 days, P = .13) or days on mechanical ventilation (5 vs. 7, P = .31), although fewer patients in the EGDHO group required a tracheostomy (4% vs. 18%, P = .02). The intervention group also had lower rates of cardiac events, including recurrent cardiac arrest, limb ischemia, new atrial fibrillation, and pulmonary edema (13% vs. 33%; P = .02), Dr. Ameloot said.

Future post-hoc analyses of the data will explore the hypothesis that higher blood pressure leads to improved coronary perfusion and reduced infarct size, thus improving prognosis, he added.

“Should this trial therefore be the definite end to the promising hypothesis that improving brain oxygenation might reduce the second hit in post–cardiac arrest patients? I don’t think so,” Dr. Ameloot said. He noted a few limits to the study: that the perfusion rate on MRI was a poor predictor of 180-day outcome; that more patients than expected entered the trial without receiving basic life support and with nonshockable rhythms; and that there was possibly less extensive brain damage among controls at baseline. “Only an adequately powered clinical trial can provide an answer about the effects of EGDHO in post–cardiac arrest patients,” Dr. Ameloot said.

Dr. Ameloot had no financial relationships to disclose.

SOURCE: Ameloot K et al. AHA 2018, Abstract 18620
 

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REPORTING FROM THE AHA SCIENTIFIC SESSIONS

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Key clinical point: A mean arterial pressure target greater than 100 mm Hg shows signs of improving neurologic outcomes after cardiac arrest.

Major finding: Forty-three percent of patients in the intervention group had a favorable neurological outcome vs. 27% of controls (P = .15).

Study details: The Neuroprotect trial was a multicenter, randomized, open-label, assessor-blinded trial of 112 post–cardiac arrest patients.

Disclosures: Dr. Ameloot had no financial relationships to disclose.

Source: Ameloot K et al. AHA 2018, Abstract 18620

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ICYMI: EP 01 Lorenzo Norris

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In this episode, we revisit the conversation with Lorenzo Norris, MD. The Postcall Podcast will return with all new content in 2019.

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In this episode, we revisit the conversation with Lorenzo Norris, MD. The Postcall Podcast will return with all new content in 2019.

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Playing by the Rules: Using Decision Rules Wisely Part 2, Nontraumatic Conditions

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Playing by the Rules: Using Decision Rules Wisely Part 2, Nontraumatic Conditions

In this second part of “Playing by the Rules,” we will examine validated clinical decision rules that assist emergency physicians (EPs) in the diagnosis and treatment of nontraumatic conditions. Most trauma rules seek to answer a yes or no question regarding the utility of testing for specific disease states when the diagnosis is not clinically apparent.

For example, the Canadian CT Head Rule describes a number of conditions that, if met, can predict the absence of traumatic lesions requiring neurosurgical intervention in the alert patient with head injury, and thus obviate the need for imaging in those instances. In contrast, many medical rules are actually risk stratification scales for treatment and diagnosis, categorizing patients into low- to high-risk groups based on clinical factors. While traumatic conditions are linked to a specific inciting event or “trauma,” medical diseases may have multiple causative factors or may be delayed in presentation to the emergency department (ED), which subsequently increases the complexity of these decision instruments.

Rather than an exhaustive list of all clinical decision rules or risk stratification scales relevant to emergency medicine, this installment will provide EPs with a review of common instruments and the evidence behind them.

Central Nervous System

Ottawa Subarachnoid Hemorrhage Rule

The Ottawa Subarachnoid Hemorrhage Rule offers guidance for diagnosing atraumatic subarachnoid hemorrhage (SAH) in alert, neurologically intact adult patients presenting to the ED with a headache reaching maximal intensity within 1 hour of onset. The rule states that if none of the following conditions are present, then the diagnosis of SAH can be excluded without further testing:

Symptom of neck pain or stiffness
Age greater than 40 years old
Witnessed loss of consciousness
Onset during exertion
Thunderclap headache with peak pain instantly
Limited neck flexion on exam

The validation study prospectively enrolled 1153 adults of whom 67 had a positive workup for SAH (defined as subarachnoid blood visible on noncontrast CT scan of the head, xanthochromia of cerebrospinal fluid on visual inspection, or the presence of >1 million erythrocytes in the final tube of cerebrospinal fluid with an aneurysm or arteriovenous malformation confirmed on cerebral angiography).1 Of note, patients with prior history of cerebral aneurysm or SAH were excluded, as were patients with recurrent headaches similar to the presenting complaint, patients with focal neurologic deficits or papilledema, or patients with a history of brain neoplasm, ventricular shunt, or hydrocephalus. The authors found that the rule was 100% sensitive and 13% specific for detecting SAH, with a kappa of 0.82, which suggests good interrater reliability.1

Comment: It is important to note that the authors excluded patients with a history of cerebral aneurysm or prior SAH, and therefore the rule should not be applied to these patients in clinical practice. The utility of this rule is somewhat limited secondary to the age cutoff, as the incidence of aneurysmal SAH increases considerably after the fifth decade of life.2 Ultimately, this rule—combined with the authors’ previous work showing that CT performed within 6 hours of headache onset can rule out SAH—provides a powerful diagnostic tool for EPs considering SAH in the ED.3

ABCD2 Score

The ABCD2 score was developed to identify transient ischemic attack (TIA) patients at risk for early stroke, and thus inform decisions regarding admission and resource utilization in the ED and outpatient clinic setting.4 The score was created by combining elements of two previously existing rules, the California and the ABCD scales. Patients presenting with TIA symptoms are assigned points based on:

Age: 1 point if ≥ 60 years
Blood Pressure: 1 point if ≥ 140/90
Clinical Deficit: 2 points for unilateral weakness, 1 point for speech impairment without unilateral weakness
Duration: 2 points for ≥ 60 minutes, 1 point for 10 to 59 minutes
Diabetes: 1 point if diabetic

 

 

The greater the number of points, the higher the risk for imminent stroke, from low (0-3 points) to moderate (4-5 points) to high (6-7 points). The initial retrospective internal validation study found that the low, moderate, and high groups correlated to 7-day stroke risk of 1.2%, 5.9%, and 11.7%, respectively. Subsequently, the ABCD2 score was rapidly incorporated into institutional and national protocols for assessing risk for stroke and featured prominently in the 2009 American Heart Association guidelines on TIA, which recommend hospitalization for a score of 3 or greater.4,5

More recently, a multicenter prospective external validation study of more than 2000 TIA patients found that using the American Heart Association recommended cutoff of 3 or greater resulted in a sensitivity of 94.7% for detecting those patients who sustained a stroke within 7 days, but a specificity of only 12.5%.6 The investigators concluded that a specificity this low would require “almost all” of the TIA patients in their cohort (87.6%) to be admitted to the hospital—even though only 3.2% of their patients had a stroke within 90 days.6 Even when examined at other cutoff scores, the investigators found the ABCD2 score to have poor accuracy.6

Comment: Decreasing resource utilization is a laudable goal, but it does not appear that the ABCD2 score provides much guidance on which TIA patients can safely go home. Moreover, the increasing availability of advanced imaging and tele-neurology consultation in the ED have changed the landscape of TIA and stroke care. Many EPs have since argued that the ABCD2 score adds little to their evaluation.7

Abdomen

Alvarado Score

There are multiple clinical prediction rules for appendicitis. Among the most commonly utilized by EPs and surgical consultants are the Alvarado score and the Appendicitis Inflammatory Response Score. The Alvarado score was derived in 1986 based on a retrospective review of 305 abdominal pain patients of whom 227 (aged 4 to 80 years) had appendicitis.8 Factors were identified and weighted, which can be recalled through the mnemonic MANTRELS:

Migration of pain to the right lower quadrant: 1 point
Anorexia or acetone in urine: 1 point
Nausea or vomiting: 1 point
Tenderness in the right lower quadrant: 2 points
Rebound tenderness: 1 point
Elevation of the temperature > 37.3°C: 1 point
Leukocytosis >10K X 109/L: 2 points
Shift to the left of neutrophils (>75%): 1 point

The original article posited that a score of 5 or 6 was “compatible” with the diagnosis of acute appendicitis—necessitating further observation for possible appendicitis—and that higher scores indicated an increasing probability of disease.8 Of note, the rule has also been adapted for clinical settings where differentials are not easily obtainable with the left shift criterion removed; this is known as the modified Alvarado score and calculated out at a maximum of 9.9

 

 

Since the original Alvarado study was published, multiple small studies have attempted to validate or otherwise retrospectively assess the utility of this rule. A frequently cited systematic review of 42 prospective and retrospective studies by Ohle et al found that a score of <5 showed a sensitivity of 99% overall (96% in men, 99% in women, and 99% in children) for ruling out admission/observation of patient with suspected appendicitis, though the specificity for ruling in the diagnosis at scores 7 and higher was only 81% overall.10

However, a more recent prospective observational study of adult abdominal pain patients presenting to large American urban EDs found the modified Alvarado rule at cutoff levels of 3, 4, and 5 had sensitivities of only 72%, 55%, and 36%, respectively, of ruling out the diagnosis.11 In comparison, the study found that physicians’ clinical judgement of appendicitis being the first or second most likely diagnosis had a sensitivity of 93% for predicting appendicitis.11

Comment: The Alvarado score was developed to help rule out and rule in the diagnosis of appendicitis. However, with the increasing availability of CT scanning in EDs, the diagnostic pathway in unclear cases has shifted from admission/observation to CT scanning, which has the benefit of elucidating other pathology as well. The utility of the Alvarado rule has been called into question. Ultimately, there is data in support of the Alvarado rule from older articles and studies in resource-poor environments, and newer studies may reflect less rigorous application of the rule when CT scanning is the default clinical pathway. Further studies that focus specifically on the Alvarado score as a rule out test to decrease CT utilization may be instructive.

Appendicitis Inflammatory Response (AIR) score

The appendicitis inflammatory response (AIR) score was derived in a cohort of 316 patients and validated on a sample of 229 adults and children with suspected appendicitis.12 The authors specifically sought to create a rule that outperformed the Alvarado score; the criteria are:

Vomiting: 1 point
Right iliac fossa pain: 1 point
Rebound tenderness: 1 point for light, 2 for medium, 3 for strong
Temperature >38.5°C: 1 point
Polymorphonuclear leukocytes: 1 point for 70%-84%, 2 for 85% or greater
White blood cell count: 1 point for 10,000-14,900, 2 for 15,000 or greater
C-reactive protein level (mg/dL): 1 point for 10-49, 2 for 50 or greater

Patients with a score of 0-4 were classified as low risk, with recommendation for outpatient follow-up if general condition unchanged; a score of 5-8 as indeterminate risk, with recommendation for active observation with serial exams, imaging, or diagnostic laparoscopy; or a score of 9-12 as high risk, with recommendation for surgical exploration.12 In the validation cohort, the investigators found an AIR score or Alvarado score greater than 4 to have, respectively, 96% or 97% sensitivity and 73% or 61% specificity for detecting appendicitis.12 A high score of greater than 8 on either the AIR or Alvarado had respectively 37% or 28% sensitivity but specificity of 99% for detecting appendicitis with either instrument.12

 

 

In an external validation study, the AIR and Alvarado scores were calculated on a series of 941 patients (aged 1 to 97 years) being evaluated for possible appendicitis; 201 patients were younger than 18.13 At a cutoff of greater than 4, the sensitivity and specificity were found to be 93% and 85% for the AIR and 90% and 55% for Alvarado.13 In a cohort of 182 patients (aged 4 to 75 years), a score of 4 or greater on the AIR and Alvarado was found to have comparable sensitivity to that of a senior surgical consultant for detecting appendicitis—with sensitivities of 94%, 93%, and 90% respectively.14 Subsequently, the original investigators undertook a large multicenter implementation study of the AIR at 24 hospitals of patients (aged 5 to 96 years) with suspected appendicitis. As compared to the pre-implementation group, using AIR to categorize patients as low risk resulted in significantly fewer imaging studies, admissions, and surgical explorations.15

Comment: The AIR has the benefit of recent prospective studies that assess performance of the rule in settings that mirror the practice environments of most EPs today. The classification of rebound tenderness as light, medium, or strong may be difficult to ascertain. Ultimately, reductions in imaging, admissions, and surgical explorations are important goals and EPs might benefit from using this rule to guide imaging.

CHEST

HEART Score

The increasingly popular HEART score, first developed by physicians in the Netherlands in 2008, seeks to risk-stratify patients presenting to the ED with suspected cardiac chest pain without ST-elevation myocardial infarction (STEMI). It scores patients 0 to 2 on 5 different characteristics (with a total scored of 10 possible points):

History: 2 points for highly suspicious, 1 point for moderately suspicious
EKG: 2 points for significant ST deviation, 1 point for nonspecific repolarization disturbance
Age: 2 points for age 65 years or greater, 1 point for age 45-64 years
Risk Factors: 2 points for 3 or more risk factors or history of atherosclerotic disease, 1 point for 1 to 2 risk factors
Troponin: 2 points for troponin value >3 times the normal limit, 1 point for value 1-3 times the normal limit.

The authors developed these 5 categories “based on clinical experience and current medical literature,” and then applied the rule to 122 chest pain patients in the ED, finding a higher incidence of major adverse coronary events (MACE) with increasing score: 2.5% for low risk score of 0-3, 20.3% for intermediate risk score of 4-6, and 72.7% for score 7 or higher.16 The score has been retrospectively and prospectively validated.17,18 In a study of 2440 patients, the low risk group had a MACE of 1.7%, and the score had a c-statistic of 0.83, outperforming Thrombolysis in Myocardial Infarction (TIMI) and GRACE c-statistics of 0.75 and 0.70, respectively.18 In 2013, investigators calculated the HEART score on a multinational database of 2906 chest pain patients, finding a negative predictive value of 98.3% for MACE with HEART score less than or equal to 3.19

In the United States, Mahler et al have produced a series of 3 articles validating the HEART score and demonstrating its use in reducing cardiac testing and length of stay. In 1070 patients admitted to their observation unit, who were deemed low risk by physician assessment and TIMI <2, a score of less than or equal to 3 had a negative predictive value of 99.4% for MACE; the inclusion of serial troponins resulted in sensitivity of 100%, specificity of 83.1%, and negative predictive value of 100%.20 The team then conducted a secondary analysis of chest pain patients enrolled in a large multicenter trial (MIDAS) and compared HEART score, the North American Chest Pain Rule, and unstructured clinical assessment.21 Both rules had high sensitivities, but the HEART score identified 20% of patients suitable for early discharge, as compared to 4% for the North American Chest Pain Rule.21 Finally, Mahler’s team performed a randomized control trial of 282 patients investigating whether the HEART score with serial troponins compared with usual care could safely reduce cardiac testing.22 The HEART pathway resulted in an absolute reduction of 12.1% in cardiac testing, and median reduction in length of stay by 12 hours, with no missed MACE in discharged patients.22

 

 

Most recently, a stepped-wedge, cluster randomized trial across 9 hospitals published in 2017 investigated the utility of the HEART score. Despite enrolling only 3648 patients out of the statistically required sample size of 6600, they found that the HEART score was not inferior to usual care and there was no significant difference in median length of stay, but health care resources were typically lower in the HEART score group.23

Comment: While derived in a less conventional manner, the HEART score has held up in several validation studies and appears poised to safely decrease health care costs and increase ED efficiency and throughput. As more US EDs look to adopt high sensitivity troponin biomarkers, prospective studies will be needed to determine the role of the HEART score in this setting.

Thrombolysis in Myocardial Infarction (TIMI) score

The Thrombolysis in Myocardial Infarction (TIMI) score was developed in 2000 as a tool to risk-stratify patients with a diagnosis of unstable angina (UA) and non–ST-elevation myocardial infarction (NSTEMI). The score was derived from 1 arm (2047 patients) of a study comparing heparin with enoxaparin for treatment of NSTEMI, and validated in the other 3 arms of the study (5124 patients). Multivariate logistic regression was used to develop 7 variables of equal weight:

Age greater than or equal to 65yo
Three or more cardiac risk factors
Known coronary artery disease (with stenosis greater than or equal to 50%)
Aspirin use in the past 7 days
Severe angina (2 or more episodes in the past 24 hours)
EKG ST changes greater than or equal to 0.5 mm
Positive serum cardiac biomarkers

The investigators found that with a higher score, there was progressive increase in adverse cardiac outcomes, with a c-statistic of 0.65.24 This score was subsequently validated across several existing databases evaluating various therapeutic interventions for UA/NSTEMI and remained statistically significant, with increasing risk for MI and mortality with increasing score.25,26

Given the success in predicting patient outcomes and identifying patients who could benefit from more aggressive care, the TIMI risk score was then applied to unselected ED chest pain patients. In a secondary analysis of a prospective observational cohort of 3929 patient visits, the TIMI score correlated to the risk for adverse outcomes, with a risk of 2.1% at score 0.27

 

 

In a second prospective observational cohort of 1458 patient visits, a score of 0 correlated to a 1.7% incidence of adverse outcomes.28 In 2008, Body et al sought to increase the relative weight of EKG and biomarker factors to 5 (instead of 1) in a study of 796 patients, positing that these factors have more importance in the ED setting.29 Comparing the modified TIMI to the original, the modified instrument improved the area under curve (AUC) from 0.77 to 0.87.29 In follow-up validation studies, the modified score has an improved AUC, but the incidence of adverse outcomes at score 0 remains at about 2% for both modified and original score.30,31

In 2010, Hess et al performed a systematic review and meta-analysis of the studies that prospectively validated the TIMI score. They evaluated 10 validation studies, encompassing 17,265 patients across 5 countries, and found a strong linear relation between the TIMI score and adverse cardiac events.32 At TIMI score of 0, the incidence of cardiac events was 1.8%, with sensitivity of 97.2% and specificity of 25%. Subsequently, the ADAPT trial designed a diagnostic protocol consisting of TIMI risk assessment, EKG, and 0- and 2-hour troponin I biomarkers to find ED patients eligible for safe, early discharge.33 Of the 1975 patients, 20% were classified as low risk and eligible for early discharge, in that they had TIMI score of 0, a non-ischemic ECG, and negative troponins. Only one patient had a MACE at 30 days, giving the protocol a sensitivity of 99.7%, specificity of 23.4%, and negative predictive value of 99.7%.33

As the TIMI and HEART scores are both used to evaluate ED chest pain patients, several studies have sought to compare them. In 2015, Cartlon et al published a comparison of 5 established risk scores and 2 troponin assays in 963 patients: modified Goldman, TIMI, GRACE, HEART, and Vancouver Chest Pain Rule in combination with troponin T and I.34 The investigators found that a negative troponin T plus either TIMI score of 0 or a HEART score ≤3 gave a negative predictive value of greater than 99.5% with more than 30% of patients able to be discharged safely.34 In 2017, a comparison of the GRACE, HEART, and TIMI scores in 1833 chest pain patients found the HEART score identified more low risk patients than either of its comparators and had the highest AUC at 0.86.35 Other trials have similarly found HEART outperforming TIMI.36

Comment: The TIMI score was not specifically designed for ED use but has been adapted to serve this purpose. To the EP assessing the undifferentiated chest pain patient, the TIMI score uses clinical variables that may seem curious (eg, aspirin use) or impossible for EPs to ascertain (eg, presence or degree of stenosis). Even for patients with a score of 0, the risk for adverse outcomes remains stubbornly at the 2% level, similar to the original low risk HEART score findings.

Wells’ Criteria for Pulmonary Embolism

The diagnosis of pulmonary embolism (PE) is often challenging, requiring the use of multiple ED resources for timely diagnosis, and is therefore well suited for clinical decision instruments. The Wells’ Criteria were derived from a cohort of 1260 patients using logistic regression to identify 7 significant variables:

Clinical signs and symptoms of deep vein thrombosis (DVT): 3
PE is the most likely diagnosis: 3
Heart rate >100: 1.5
Immobilization or surgery in the previous 4 weeks: 1.5
Previously diagnosed DVT or PE: 1.5
Hemoptysis: 1
Malignancy with treatment within 6 months or palliative: 1

 

 

The investigators specifically linked the use of their instrument to the D-dimer assay, using their score to determine pretest probability and seeking to exclude the diagnosis in patients with low pretest probability and negative D-dimer result.37,38 They reported a three-tiered classification, with low risk at a score less than 2, moderate risk at scores from 2-6, and high risk at scores greater than 6. The risk for PE with a low risk score coupled with a negative D-dimer result were 1.5% and 2.7% in the derivation and validation cohorts. Using a two-tiered classification of PE unlikely at scores less than or equal to 4 and PE likely at scores 5 or greater, a PE unlikely score and a negative D-dimer had a 2.2% and 1.7% risk in the derivation and validation cohorts.

A subsequent study by Wells et al on 930 ED patients using the score plus D-dimer found a negative predictive value of 99.5% for a low risk score and a negative D-dimer.39 This allowed for reduced imaging in 53% of patients.39 Another external validation study found acceptable interrater agreement between physicians for the Wells’ score at kappa 0.62 for the three-tiered system and 0.7 for the two-tiered system.40 The Wells’ Criteria has been compared against the Geneva score with receiver operating characteristic curve analysis showing no difference between the two rules.41 In a large cohort of 3306 patients being evaluated for PE using the Wells’ score and D-dimer, for the 1028 patients with PE unlikely and a negative D-dimer, there was a 3-month incidence of venous thromboembolism (VTE) of 0.5%—none of which were fatal events.42

Comment: The Wells’ Criteria for pulmonary embolism combined with D-dimer is now the preferred approach for many EPs seeking to risk-stratify their patients for PE. Advances in age-adjusted cutoffs for D-dimer provide additional support for this powerful tool.

Pulmonary Embolism Rule-Out Criteria (PERC)

Given the low specificity of the D-dimer assay for VTE, researchers post–Wells’ Criteria have sought to further reduce unnecessary testing by reassessing the D-dimer’s role in the diagnostic pathway. The PERC rule was designed to reduce D-dimer use—and downstream CT scan testing—in low-risk patients. The investigators derived the rule from a population of patients for whom the pretest probability of PE was less than 15%, seeking a risk for PE less than 2% if the rule was satisfied. Using logistic regression in 3148 ED patients, 8 clinical criteria were obtained:

Age < 50 years Pulse <100
Pulse oximetry >94%
No unilateral leg swelling
No hemoptysis
No recent surgery
No prior PE/DVT
No hormone use

The variables were tested in 1427 low-risk and 382 very-low-risk patients (defined as being evaluated for dyspnea, but not part of the derivation or low-risk validation groups). In the low-risk group, the sensitivity, specificity, and false-negative rate was 96%, 27%, and 1.4% respectively. In the very-low-risk group, the sensitivity, specificity, and false-negative rate was 100%, 15%, and 0% respectively.43 The rule was further validated in a prospective multicenter study of 8138 patients; among patients with pretest probability less than 15% who were PERC negative, 1% had PE/DVT within 45 days.44 The large PERCEPIC trial on 1757 patients found low pretest probability patients who were PERC negative had a false-negative rate of 1.2% and estimated that the use of PERC could decrease the median length of stay in the ED by at least 2 hours.45 The PROPER study, a non-inferiority, crossover cluster-randomized trial in 14 EDs across France, found that use of the PERC rule was not inferior to conventional care and that it was associated with reduced ED length of stay and CT use.45,46

 

 

There has been criticism from some European studies that the PERC rule misses too many PEs. A provocatively titled multinational study from Hugli et al examined patients suspected to have PE in Switzerland, France, and Belgium. The investigators applied the PERC rule and then stratified the patients by pretest probability as defined by the Geneva score, which includes many of the same criteria as PERC. They found the PERC rule identified a small proportion of patients with suspected PE as very low risk (13.2%) and that the prevalence of PE among these patients was 5.4%. Critics of this study have noted that the PERC rule was designed to be applied in low-risk patients, not to define the low-risk population.47 Another study examined a retrospective cohort of patients in whom a D-dimer was ordered to exclude PE, and then calculated the Wells’ and PERC score from the medical record. The investigators found that the combination of Wells and PERC missed 2 PEs out of their population of 377 patients.48 However, a subsequent meta-analysis analyzed 11 studies—including the two negative studies—and found a pooled sensitivity of 97%, specificity of 23%, and negative likelihood ratio of 0.18, concluding that when the pretest probability is low, PERC is sensitive enough to exclude D-dimer testing.49

Comment: Given the number of disease states and sampling techniques that can cause nonspecific elevation in D-dimer assay, the PERC rule provides a useful tool in low-risk populations for excluding PE without laboratory testing. The key is applying the rule to the appropriate population, as stratified by gestalt or clinical score.

Infectious Disease

Mortality in Emergency Department Sepsis (MEDS) score

The Mortality in Emergency Department Sepsis (MEDS) score was developed as a risk stratification tool for patients presenting to the ED with concern for sepsis. This score was prospectively derived from a population of 3301 ED patient encounters during which a blood culture was ordered. Charts were reviewed and several data points extracted and analyzed to determine the following univariate predictors of 28-day mortality: terminal illness, tachypnea or hypoxia, septic shock, platelets <150,000/mm3, bands >5%, age >65 years, lower respiratory infection, nursing home residence, and altered mental status. These predictors were assigned point values based on their odds ratios, and points are added to generate a total score. Mortality risk was stratified into groups based on total score, with percentage mortality as follows: score 0-4: 0.9%; 5-7: 2.0%; 8-12: 7.8%; 13-15: 20.2%; >15: 50%. A separate validation cohort had the following mortality rates: score 0-4: 1.1%; 5-7: 4.4%; 8-12: 9.3%; 13-15: 16.1%; >15: 39%.50

The MEDS score was subsequently shown to also be predictive for 1-year mortality as well, with an area under receiver operating curve (AUROC) of 0.76 for 1-year mortality.51 A subsequent study showed similar mortality rates when expanding the patient population to include all patients with systemic inflammatory response syndrome (SIRS), potentially broadening the potential application of MEDS in ED risk stratification.52 However, the score was shown to be less predictive in patients with severe sepsis and septic shock, underestimating mortality in all MEDS score groups.53 Still, the MEDS score was demonstrated in multiple validation studies as a reliable risk stratification tool in patients with suspected infection or SIRS.54,55

Comment: The MEDS score is not as well studied in the literature as the SIRS criteria or QuickSOFA but is a validated risk stratification tool in patients with suspected infection and is ED specific. This tool, similar to Pneumonia Severity Index and CURB-65 (discussed below), can guide management of patients from the ED. Very-low-risk (score 0-4) patients can be treated as outpatients, low risk (score 5-7) patients warranting consideration of a short inpatient stay, and moderate to high risk (>8) requiring inpatient management. At present, there is insufficient evidence regarding the role of the MEDS score to guide inpatient disposition of floor vs. ICU in moderate to high-risk patients.

 

 

Pneumonia Severity Index

The Pneumonia Severity Index (PSI) was developed as a tool to predict mortality risk from pneumonia, allowing providers to appropriately manage care for these patients in the hospital or as outpatients. A derivation cohort of 14199 patients was utilized to create a prediction rule in two steps meant to parallel a clinician’s decision-making process. The first step identified a population of patients that were at low risk for death, which were assigned to class I. The second step quantified the risk for death in the remaining patients using weighted factors including demographics, comorbidities, exam findings, and clinical data. In all, 20 variables were used and assigned corresponding points, the sum of which would assign a patient to a particular risk for mortality (class II-V).56

Mortality risk was relatively low for patients in class I and II (0.4 and 0.7%, respectively). Class III carried a mortality risk of 2.8%. Mortality increased with class IV and class V classification: 8.5% and 31.1%, respectively. These data were replicated with a separate validation cohort of 38039 patients, with similar mortality rates in each class. This study concluded with the recommendation that patients diagnosed with pneumonia falling into class I and II mortality risk should be managed as outpatients, possible brief inpatient observation for class III, and class IV and V managed as inpatients.56

Subsequent trials evaluating the utility of the PSI score in the management of patients diagnosed with pneumonia randomized low-risk patients (class I-III PSI) to treatment as outpatients vs inpatients. There were no statistical differences in adverse outcomes (ICU admission, hospital readmission, mortality, complications), with notable improvements in hospital admission rates and patient satisfaction.57,58 A meta-analysis of 6 studies that used a clinical decision tools to identify low-risk patients to treat pneumonia as outpatients showed no significant difference in mortality, patient readmissions, or patient satisfaction. Low-risk patients that required admission often included comorbid illnesses not included in the PSI, inability to take oral medications, barriers to compliance, or hypoxemia.59

Though the PSI has been shown to successfully identify patients at low risk for mortality, it has been less accurate at predicting and stratifying classes of severe pneumonia. A meta-analysis by Loke et al showed that PSI class IV or V had pooled sensitivity of 0.90 and specificity 0.53 for 30-day mortality, which was significantly better than the CURB-65 rule (discussed below).60 However, a subsequent large meta-analysis showed that PSI class IV or V had a sensitivity of 75% and specificity 40% for requiring ICU intervention or admission, which are not sufficient to guide disposition decisions.61

CURB-65

One of the criticisms of PSI included its complexity, with inclusion of 20 factors making it impractical for use as a bedside tool. The CURB-65 score was developed with a similar goal of identifying low-risk patients with pneumonia who would be candidates for outpatient management, but also patients at high risk for mortality or ICU admission. Criteria for severe pneumonia published by the British Thoracic Society include: respiratory rate ≥ 30 breaths/min, diastolic blood pressure ≤60 mmHg, and blood urea nitrogen >7 mmol/L. The presence of 2 criteria was 88% sensitive and 72% specific for mortality or ICU admission.62 The CURB-65 tool was based on these criteria, with the addition of age ≥65 years, which was found to be a separate independent predictor of mortality. Thus, the 5 criteria making up the score are as follows (1 point each, 0-5 total):

Confusion, meaning Mental Test Score ≤8, or disorientation to person, place, or time
Urea >7 mmol/L (>19.6 mg/dL)
Respiratory rate ≥ 30 breaths/minute
Blood pressure (systolic < 90 mmHg or diastolic ≤ 60 mmHg)
Age ≥ 65 years

 

 

A score of 0-1 of these criteria characterized low mortality risk (<1.5%) in the test group, a score of 2 was intermediate mortality risk (9.2%), and a score of 3 or more associated with high mortality risk (22%). A score ≥ 2 was 93% sensitive and 49% specific for 30-day mortality.63

A subsequent prospective validation study by Aujesky et al that included 3181 patients with community-acquired pneumonia demonstrated slightly higher mortality rates for each CURB-65 score (0.6%, 3%, 6.1%, 13%, 17%, 43% mortality in scores of 0-5, respectively).64 In particular, the 3% mortality rate in CURB-65 scores of 1 is similar to PSI class III mortality rates, suggesting a lower threshold (CURB-65 ≥1) for consideration of admission for management. Another validation study by Capelastegui et al showed similar mortality rates to the derivation study for specific CURB-65 scores, but noted 53% of patients with a score of 1 also were found to have characteristics that were independent for a poor prognosis, and should be considered in the decision for outpatient or inpatient treatment.65 Furthermore, a recent study found that of patients in the ED with a CURB-65 score of 1, 8% still required critical care intervention.66 Thus, use of CURB-65 in screening for low-risk patients with community-acquired pneumonia is recommended to be limited to scores of 0. However, as with PSI, validation studies have yet to show predictive utility of scores suggesting severe pneumonia (CURB-65 ≥3) in predicting mortality or ICU requirement.60,61

As validation studies have suggested only patients with a CURB-65 score of 0 are screened low risk enough for outpatient treatment, greater weight may be placed on utility of CRB-65 as a tool. This rule, initially proposed in the same study as CURB-65, omits blood urea nitrogen as a factor to only rely on history and physical exam data with a score of 0 indicating low risk.63 In initial derivation and validation studies, this rule demonstrated <1.6% mortality risk with a score of 0, with risk increasing to 4-8.6% in scores of 1.63,65 Multiple studies have compared CRB-65 and CURB-65, with only marginal but not statistically significant improvement in prognostic utility of CURB-65.65,67 A meta-analysis of 1648 patients even showed only 0.5% mortality risk in CRB-65 ≤1; potentially including CRB-65 0-1 as low risk, though, would require further study.68 Although multiple validation studies have also successfully stratified low risk to similar mortality risk (<1.6%), accuracy wanes with higher CRB-65 scores.69

Several studies have directly compared CURB-65 and PSI both in terms of identifying low-risk patients and stratifying disease severity.60,61,64,68,70-72 Multiple studies have shown similar mortality risk in low-risk populations and have demonstrated sensitivities for mortality greater than 96% for CURB-65/CRB-65 = 0 and PSI class I-III, albeit with specificities ranging from 18-65%.64,68,70 In stratifying patients into different levels of severity (ward vs ICU patients), PSI has shown slightly better sensitivity/specificity for mortality and/or ICU intervention, though neither is strong enough to significantly stratify severe pneumonia to serve as tools for directing inpatient management.60,61

Comment: PSI, CRB-65, and CURB-65 have been well validated as screening tools for low-risk patients who should be treated as outpatients (CURB-65 or CRB-65 = 0, PSI class I and II). A moderate-risk population (CURB-65 = 1 or 2, PSI class III) may benefit from treatment as inpatient or outpatient at clinician judgement. Use of these tools for determining disease severity and possible ICU requirement is not as reliable, and other clinical factors should be considered.

Conclusion

This article provides an overview of several common clinical decision instruments and the evidence behind them. Ultimately, many institutions have incorporated clinical decision rules directly into the electronic medical record, and this strategy will not only increase their use, but hopefully collect further data on whether the instruments truly perform better than unstructured clinical judgement.

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19. Six AJ, Cullen L, Backus BE, et al. The HEART score for the assessment of patients with chest pain in the emergency department. Crit Pathways Cardiol. 2013;12:121-126.

20. Mahler SA, Hiestand BC, Goff DC, Hoekstra JW, Miller CD. Can the HEART score safely reduce stress testing and cardiac imaging in patients at low risk for acute coronary syndrome? Crit Pathw Cardiol. 2011:10(3):128-133.

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25. Scirica BM, Cannon CP, Antman EM, et al. Validation of the Thrombolysis In Myocardial Infarction (TIMI) risk score for unstable angina pectoris and non-ST-elevation myocardial infarction in the TIMI III registry. Am J Cardiol. 2002;90:303-305.

26. Morrow DA, Antman EM, Snapinn SM, McCabe CH, Theroux P, Braunwald E. An integrated clinical approach to predicting the benefit of tirofiban in non-ST elevation acute coronary syndromes. Eur Heart J. 2002;23:223-229.

27. Pollack CV, Sites FD, Shofer FS, Sease KL, Hollander JE. Application of the TIMI risk score for unstable angina and non–ST-elevation acute coronary syndrome to an unselected emergency department chest pain population. Acad Emerg Med. 2006:13(1):13-18.

28. Chase M, Robey JL, Zogby KE, Sease KL, Shofer FS, Hollander JE. Prospective validation of the Thrombolysis in Myocardial Infarction risk score in the emergency department chest pain population. Ann Emerg Med. 2006;48(3):252-259.

29. Body R, Carley S, McDowell G, Ferguson J, Mackway-Jones K. Can a modified thrombolysis in myocardial infarction risk score outperform the original for risk stratifying emergency department patients with chest pain? Emerg Med J. 2009;26:95-99.

30. Hess EP, Perry JJ, Calder LA, et al. Prospective validation of a modified Thrombolysis In Myocardial Infarction risk score in emergency department patients with chest pain and possible acute coronary syndrome. Acad Emerg Med. 2010;17(4):368-375.

31. Macdonald SPJ, Nagree Y, Fatovich DM, ad Brown SGA. Modified TIMI risk score cannot be used to identify low-risk chest pain in the emergency department: a multicenter validation study. Emerg Med J. 2014;31:281-285.

32. Hess EP, Agarwal D, Chandra S, et al. Diagnostic accuracy of the TIMI risk score in patients with chest pain in the emergency department: a meta-analysis. CMAJ. 2010;182(10):1039-1044.

33. Than, M, Cullen L, Aldous S, et al. 2-Hour accelerated diagnostic protocol to assess patients with chest pain symptoms using contemporary troponins as the only biomarker: the ADAPT trial. JACC. 2012;59(23):2091-2098.

34. Carlton EW, Khattab A, Greaves K. Identifying patients suitable for discharge after a single-presentation high-sensitivity Troponin result: a comparison of five established risk scores and two high-sensitivity assays. Ann Emerg Med. 2015;66(6):635-645.

35. Poldervaart JM, Langedijk M, Backus BE, et al. Comparison of the GRACE, HEART and TIMI score to predict major adverse cardiac events in chest pain patients at the emergency department. Int J Cardiol. 2017;227:656-661.

36. Nieuwets A, Poldervaart JM, Reitsma JB, et al. Medical consumption compared for TIMI and HEART score in chest pain patients at the emergency department: a retrospective cost analysis. BMJ Open. 2016;6:e010694.

37. Wells PS, Ginsberg JS, Anderson DR, et al. Use of a clinical model for safe management of patients with suspected pulmonary embolism. Ann Intern Med. 1998;129:997-1005.

38. Wells PS, Anderson DR, Rodger M, et al. Derivation of a simple clinical model to categorize patients’ probability of pulmonary embolism: increasing the model’s utility with the SimpliRED D-dimer. Thromb Haemost. 2000;83(3):416-420.

39. Wells PS, Anderson DR, Rodger M, et al. Excluding pulmonary embolism at the bedside without diagnostic imaging: management of patients with suspected pulmonary embolism presenting to the emergency department by using a simple clinical model and D-dimer. Ann Intern Med. 2001;135:98-107.

40. Wolf SJ, McCubbin TR, Feldhaus KM, Faragher JP, Adcock DM. Prospective validation of Wells’ criteria in the evaluation of patients with suspected pulmonary embolism. Ann Emerg Med. 2004;44:503-510.

41. Chagnon I, Bounameaux H, Aujesky D, et al. Comparison of two clinical prediction rules and implicit assessment among patients with suspected pulmonary embolism. Am J Med. 2002;113:269-275.

42. Christopher Study Investigators. Effectiveness of managing suspected pulmonary embolism using an algorithm combining clinical probability, D-dimer testing, and computed tomography. JAMA. 2006;295:172-179.

43. Kline JA, Mitchell AM, Kabrhel C, Richman PB, Courtney DM. Clinical criteria to prevent unnecessary diagnostic testing in emergency department patients with suspected pulmonary embolism. J Thromb Haemost. 2004;2:1247-1255.

44. Kline JA, Courtney DM, Kabrhel C, et al. Propsective multicenter evaluation of the pulmonary embolism rule-out criteria. J Thromb Haemost. 2008;6:772-780.

45. Penaloza A, Soulie C, Moumneh T, et al. Pulmonary embolism rule-out criteria (PERC) rule in European patients with low implicit clinical probability (PERCEPIC): a multicenter, prospective, observational study. Lancet Haematol. 2017;4:e615-e621.

46. Freund Y, Cachanado M, Aubry A, et al. Effect of the Pulmonary Embolism Rule-Out Criteria on subsequent thromboembolic events among low-risk emergency department patients. The PROPER randomized clinical trial. JAMA. 2018;319(6):559-566.

47. Hugli O, Righini M, Le Gal G, et al. The pulmonary embolism rule-out criteria (PERC) rule does not safely exclude pulmonary embolism. J Thromb Haemost. 2011;9:300-4.

48. Theunissen JMG, Scholing C, van Hasselt WE, van der Maten J, ter Avest E. A retrospective analysis of the combined use of PERC rule and Wells score to exclude pulmonary embolism in the Emergency Department. Emerg Med J. 2016;33:696-701.

49. Singh B, Parsaik AK, Aharwal D, Surana A, Mascarenhas SS, Chandra S. Diagnostic accuracy of Pulmonary Embolism Rule-Out Criteria: a systematic review and meta-analysis. Ann Emerg Med. 2012;59(6):517-520.

50. Shapiro NI, Wolfe RE, Moore RB, Smith E, Burdick E, Bates DW. Mortality in Emergency Department Sepsis (MEDS) score: a prospectively derived and validated clinical prediction rule. Crit Care Med. 2003;31(3):670-675.

51. Shapiro NI, Howell MD, Talmor D, Donnino M, Ngo L, Bates DW. Mortality in Emergency Department Sepsis (MEDS) score predicts 1-year mortality. Crit Care Med. 2007;35(1):192-198.

52. Sankoff JD, Goyal M, Gaieski DF, et al. Validation of the Mortality in Emergency Department Sepsis (MEDS) score in patients with the systemic inflammatory response syndrome (SIRS). Crit Care Med. 2008;36(2):421-26.

53. Jones AE, Saak K, Kline JA. Performance of the Mortality in Emergency Department Sepsis score for predicting hospital mortality among patients with severe sepsis and septic shock. Am J Emerg Med. 2008;26(6):689-692.

54. Carpenter CR., Keim SM, Upadhye S, Nguyen HB. Risk stratification of the potentially septic patient in the emergency department: the Mortality in the Emergency Department Sepsis (MEDS) score. J Emerg Med. 2009;37(3):319-327.

55. Hermans MAW, Leffers P, Jansen LM, Keulemans YC, Stassen PM. The value of the Mortality in Emergency Department Sepsis (MEDS) score, C reactive protein and lactate in predicting 28-day mortality of sepsis in a Dutch emergency department. Emerg Med J. 2012;29(4):295–300.

56. Fine MJ, Auble TE, Yealy DM, et al. A Prediction Rule to Identify Low-Risk Patients with Community Acquired Pneumonia. N Engl J Med. 1997;326(4):243-250.

57. Marrie TJ, Lau CY, Wheeler SL, et al. A controlled trial of a critical pathway for treatment of community-acquired pneumonia. JAMA. 2000;283(6):749-755. doi:10.1001/jama.283.6.749.

58. Carratalà J, Fernandez-Sabe N. Outpatient care compared with hospitalization for community-acquired pneumonia: a randomized trial in low-risk patients . Ann Intern Med. 2005;142:165-172. doi:10.7326/0003-4819-142-3-200502010-00006.

59. Chalmers JD, Akram AR, Hill AT. Increasing outpatient treatment of mild community-acquired pneumonia: Systematic review and meta-analysis. Eur Respir J. 2011;37(4):858-864. doi:10.1183/09031936.00065610.

60. Loke YK, Kwok CS, Niruban A, Myint PK. Value of severity scales in predicting mortality from community-acquired pneumonia: systematic review and meta-analysis. Thorax. 2010;65(10):884-890. doi:10.1136/thx.2009.134072.

61. Marti C, Garin N, Grosgurin O, et al. Prediction of severe community-acquired pneumonia: A systematic review and meta-analysis. Crit Care. 2012;16(4):R141. doi:10.1186/cc11447.

62. Neill AM, Martin IR, Weir R, et al. Community-acquired pneumonia: aetiology and usefulness of severity criteria on admission. Thorax. 1996;51(10):1010-1016. doi:10.1136/thx.51.10.1010.

63. Lim WS, Van Der Eerden MM, Laing R, et al. Defining community acquired pneumonia severity on presentation to hospital: An international derivation and validation study. Thorax. 2003;58(5):377-382. doi:10.1136/thorax.58.5.377.

64. Aujesky D, Auble TE, Yealy DM, et al. Prospective comparison of three validated prediction rules for prognosis in community-acquired pneumonia. Am J Med. 2005;118(4):384-392. doi:10.1016/j.amjmed.2005.01.006.

65. Capelastegui A, España PP, Quintana JM, et al. Validation of a predictive rule for the management of community-acquired pneumonia. Eur Respir J. 2006;27(1):151-157. doi:10.1183/09031936.06.00062505.

66. Ilg A, Moskowitz A, Konanki V, et al. Performance of the CURB-65 score in predicting critical care interventions in patients admitted with community-acquired pneumonia. Ann Emerg Med. 2018. doi:10.1016/j.annemergmed.2018.06.017.

67. Bauer TT, Ewig S, Marre R, Suttorp N, Welte T. CRB-65 predicts death from community-acquired pneumonia. J Intern Med. 2006;260(1):93-101. doi:10.1111/j.1365-2796.2006.01657.x.

68. Akram AR, Chalmers JD, Hill AT. Predicting mortality with severity assessment tools in out-patients with community-acquired pneumonia. QJM. 2011;104(10):871-879. doi:10.1093/qjmed/hcr088.

69. McNally M, Curtain J, O’Brien KK, Dimitrov BD, Fahey T. Validity of British Thoracic Society guidance (the CRB-65 rule) for predicting the severity of pneumonia in general practice: Systematic review and meta-analysis. Br J Gen Pract. 2010;60(579):423-433. doi:10.3399/bjgp10X532422.

70. Shah BA, Ahmed W, Dhobi GN, Shah NN, Khursheed SQ, Haq I. Validity of Pneumonia Severity Index and CURB-65 severity scoring systems in community acquired pneumonia in an Indian Setting. Indian J Chest Dis Allied Sci. 2010;52(1):9-17.

71. Noguchi S, Yatera K, Kawanami T, et al. Pneumonia severity assessment tools for predicting mortality in patients with cealthcare-associated pneumonia: a systematic review and meta-analysis. Respiration. 2017;93(6):441-450. doi:10.1159/000470915.

72. Kolditz M, Braeken D, Ewig S, Rohde G. Severity assessment and the immediate and long-term prognosis in community-acquired pneumonia. Semin Respir Crit Care Med. 2016;37(6):886-896. doi:http://dx.doi.org/10.1055/s-0036-1592127.

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Dr. Worley is Instructor, Department of Emergency Medicine, NewYork-Presbyterian Hospital/Columbia University, New York, NY. Dr. Mattson is Resident, Department of Emergency Medicine, NewYork-Presbyterian Hospital, New York, NY. Dr. Bhatt is Assistant Professor, Department of Emergency Medicine, NewYork-Presbyterian Hospital/Columbia University, New York, NY.

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Dr. Worley is Instructor, Department of Emergency Medicine, NewYork-Presbyterian Hospital/Columbia University, New York, NY. Dr. Mattson is Resident, Department of Emergency Medicine, NewYork-Presbyterian Hospital, New York, NY. Dr. Bhatt is Assistant Professor, Department of Emergency Medicine, NewYork-Presbyterian Hospital/Columbia University, New York, NY.

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Dr. Worley is Instructor, Department of Emergency Medicine, NewYork-Presbyterian Hospital/Columbia University, New York, NY. Dr. Mattson is Resident, Department of Emergency Medicine, NewYork-Presbyterian Hospital, New York, NY. Dr. Bhatt is Assistant Professor, Department of Emergency Medicine, NewYork-Presbyterian Hospital/Columbia University, New York, NY.

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In this second part of “Playing by the Rules,” we will examine validated clinical decision rules that assist emergency physicians (EPs) in the diagnosis and treatment of nontraumatic conditions. Most trauma rules seek to answer a yes or no question regarding the utility of testing for specific disease states when the diagnosis is not clinically apparent.

For example, the Canadian CT Head Rule describes a number of conditions that, if met, can predict the absence of traumatic lesions requiring neurosurgical intervention in the alert patient with head injury, and thus obviate the need for imaging in those instances. In contrast, many medical rules are actually risk stratification scales for treatment and diagnosis, categorizing patients into low- to high-risk groups based on clinical factors. While traumatic conditions are linked to a specific inciting event or “trauma,” medical diseases may have multiple causative factors or may be delayed in presentation to the emergency department (ED), which subsequently increases the complexity of these decision instruments.

Rather than an exhaustive list of all clinical decision rules or risk stratification scales relevant to emergency medicine, this installment will provide EPs with a review of common instruments and the evidence behind them.

Central Nervous System

Ottawa Subarachnoid Hemorrhage Rule

The Ottawa Subarachnoid Hemorrhage Rule offers guidance for diagnosing atraumatic subarachnoid hemorrhage (SAH) in alert, neurologically intact adult patients presenting to the ED with a headache reaching maximal intensity within 1 hour of onset. The rule states that if none of the following conditions are present, then the diagnosis of SAH can be excluded without further testing:

Symptom of neck pain or stiffness
Age greater than 40 years old
Witnessed loss of consciousness
Onset during exertion
Thunderclap headache with peak pain instantly
Limited neck flexion on exam

The validation study prospectively enrolled 1153 adults of whom 67 had a positive workup for SAH (defined as subarachnoid blood visible on noncontrast CT scan of the head, xanthochromia of cerebrospinal fluid on visual inspection, or the presence of >1 million erythrocytes in the final tube of cerebrospinal fluid with an aneurysm or arteriovenous malformation confirmed on cerebral angiography).1 Of note, patients with prior history of cerebral aneurysm or SAH were excluded, as were patients with recurrent headaches similar to the presenting complaint, patients with focal neurologic deficits or papilledema, or patients with a history of brain neoplasm, ventricular shunt, or hydrocephalus. The authors found that the rule was 100% sensitive and 13% specific for detecting SAH, with a kappa of 0.82, which suggests good interrater reliability.1

Comment: It is important to note that the authors excluded patients with a history of cerebral aneurysm or prior SAH, and therefore the rule should not be applied to these patients in clinical practice. The utility of this rule is somewhat limited secondary to the age cutoff, as the incidence of aneurysmal SAH increases considerably after the fifth decade of life.2 Ultimately, this rule—combined with the authors’ previous work showing that CT performed within 6 hours of headache onset can rule out SAH—provides a powerful diagnostic tool for EPs considering SAH in the ED.3

ABCD2 Score

The ABCD2 score was developed to identify transient ischemic attack (TIA) patients at risk for early stroke, and thus inform decisions regarding admission and resource utilization in the ED and outpatient clinic setting.4 The score was created by combining elements of two previously existing rules, the California and the ABCD scales. Patients presenting with TIA symptoms are assigned points based on:

Age: 1 point if ≥ 60 years
Blood Pressure: 1 point if ≥ 140/90
Clinical Deficit: 2 points for unilateral weakness, 1 point for speech impairment without unilateral weakness
Duration: 2 points for ≥ 60 minutes, 1 point for 10 to 59 minutes
Diabetes: 1 point if diabetic

 

 

The greater the number of points, the higher the risk for imminent stroke, from low (0-3 points) to moderate (4-5 points) to high (6-7 points). The initial retrospective internal validation study found that the low, moderate, and high groups correlated to 7-day stroke risk of 1.2%, 5.9%, and 11.7%, respectively. Subsequently, the ABCD2 score was rapidly incorporated into institutional and national protocols for assessing risk for stroke and featured prominently in the 2009 American Heart Association guidelines on TIA, which recommend hospitalization for a score of 3 or greater.4,5

More recently, a multicenter prospective external validation study of more than 2000 TIA patients found that using the American Heart Association recommended cutoff of 3 or greater resulted in a sensitivity of 94.7% for detecting those patients who sustained a stroke within 7 days, but a specificity of only 12.5%.6 The investigators concluded that a specificity this low would require “almost all” of the TIA patients in their cohort (87.6%) to be admitted to the hospital—even though only 3.2% of their patients had a stroke within 90 days.6 Even when examined at other cutoff scores, the investigators found the ABCD2 score to have poor accuracy.6

Comment: Decreasing resource utilization is a laudable goal, but it does not appear that the ABCD2 score provides much guidance on which TIA patients can safely go home. Moreover, the increasing availability of advanced imaging and tele-neurology consultation in the ED have changed the landscape of TIA and stroke care. Many EPs have since argued that the ABCD2 score adds little to their evaluation.7

Abdomen

Alvarado Score

There are multiple clinical prediction rules for appendicitis. Among the most commonly utilized by EPs and surgical consultants are the Alvarado score and the Appendicitis Inflammatory Response Score. The Alvarado score was derived in 1986 based on a retrospective review of 305 abdominal pain patients of whom 227 (aged 4 to 80 years) had appendicitis.8 Factors were identified and weighted, which can be recalled through the mnemonic MANTRELS:

Migration of pain to the right lower quadrant: 1 point
Anorexia or acetone in urine: 1 point
Nausea or vomiting: 1 point
Tenderness in the right lower quadrant: 2 points
Rebound tenderness: 1 point
Elevation of the temperature > 37.3°C: 1 point
Leukocytosis >10K X 109/L: 2 points
Shift to the left of neutrophils (>75%): 1 point

The original article posited that a score of 5 or 6 was “compatible” with the diagnosis of acute appendicitis—necessitating further observation for possible appendicitis—and that higher scores indicated an increasing probability of disease.8 Of note, the rule has also been adapted for clinical settings where differentials are not easily obtainable with the left shift criterion removed; this is known as the modified Alvarado score and calculated out at a maximum of 9.9

 

 

Since the original Alvarado study was published, multiple small studies have attempted to validate or otherwise retrospectively assess the utility of this rule. A frequently cited systematic review of 42 prospective and retrospective studies by Ohle et al found that a score of <5 showed a sensitivity of 99% overall (96% in men, 99% in women, and 99% in children) for ruling out admission/observation of patient with suspected appendicitis, though the specificity for ruling in the diagnosis at scores 7 and higher was only 81% overall.10

However, a more recent prospective observational study of adult abdominal pain patients presenting to large American urban EDs found the modified Alvarado rule at cutoff levels of 3, 4, and 5 had sensitivities of only 72%, 55%, and 36%, respectively, of ruling out the diagnosis.11 In comparison, the study found that physicians’ clinical judgement of appendicitis being the first or second most likely diagnosis had a sensitivity of 93% for predicting appendicitis.11

Comment: The Alvarado score was developed to help rule out and rule in the diagnosis of appendicitis. However, with the increasing availability of CT scanning in EDs, the diagnostic pathway in unclear cases has shifted from admission/observation to CT scanning, which has the benefit of elucidating other pathology as well. The utility of the Alvarado rule has been called into question. Ultimately, there is data in support of the Alvarado rule from older articles and studies in resource-poor environments, and newer studies may reflect less rigorous application of the rule when CT scanning is the default clinical pathway. Further studies that focus specifically on the Alvarado score as a rule out test to decrease CT utilization may be instructive.

Appendicitis Inflammatory Response (AIR) score

The appendicitis inflammatory response (AIR) score was derived in a cohort of 316 patients and validated on a sample of 229 adults and children with suspected appendicitis.12 The authors specifically sought to create a rule that outperformed the Alvarado score; the criteria are:

Vomiting: 1 point
Right iliac fossa pain: 1 point
Rebound tenderness: 1 point for light, 2 for medium, 3 for strong
Temperature >38.5°C: 1 point
Polymorphonuclear leukocytes: 1 point for 70%-84%, 2 for 85% or greater
White blood cell count: 1 point for 10,000-14,900, 2 for 15,000 or greater
C-reactive protein level (mg/dL): 1 point for 10-49, 2 for 50 or greater

Patients with a score of 0-4 were classified as low risk, with recommendation for outpatient follow-up if general condition unchanged; a score of 5-8 as indeterminate risk, with recommendation for active observation with serial exams, imaging, or diagnostic laparoscopy; or a score of 9-12 as high risk, with recommendation for surgical exploration.12 In the validation cohort, the investigators found an AIR score or Alvarado score greater than 4 to have, respectively, 96% or 97% sensitivity and 73% or 61% specificity for detecting appendicitis.12 A high score of greater than 8 on either the AIR or Alvarado had respectively 37% or 28% sensitivity but specificity of 99% for detecting appendicitis with either instrument.12

 

 

In an external validation study, the AIR and Alvarado scores were calculated on a series of 941 patients (aged 1 to 97 years) being evaluated for possible appendicitis; 201 patients were younger than 18.13 At a cutoff of greater than 4, the sensitivity and specificity were found to be 93% and 85% for the AIR and 90% and 55% for Alvarado.13 In a cohort of 182 patients (aged 4 to 75 years), a score of 4 or greater on the AIR and Alvarado was found to have comparable sensitivity to that of a senior surgical consultant for detecting appendicitis—with sensitivities of 94%, 93%, and 90% respectively.14 Subsequently, the original investigators undertook a large multicenter implementation study of the AIR at 24 hospitals of patients (aged 5 to 96 years) with suspected appendicitis. As compared to the pre-implementation group, using AIR to categorize patients as low risk resulted in significantly fewer imaging studies, admissions, and surgical explorations.15

Comment: The AIR has the benefit of recent prospective studies that assess performance of the rule in settings that mirror the practice environments of most EPs today. The classification of rebound tenderness as light, medium, or strong may be difficult to ascertain. Ultimately, reductions in imaging, admissions, and surgical explorations are important goals and EPs might benefit from using this rule to guide imaging.

CHEST

HEART Score

The increasingly popular HEART score, first developed by physicians in the Netherlands in 2008, seeks to risk-stratify patients presenting to the ED with suspected cardiac chest pain without ST-elevation myocardial infarction (STEMI). It scores patients 0 to 2 on 5 different characteristics (with a total scored of 10 possible points):

History: 2 points for highly suspicious, 1 point for moderately suspicious
EKG: 2 points for significant ST deviation, 1 point for nonspecific repolarization disturbance
Age: 2 points for age 65 years or greater, 1 point for age 45-64 years
Risk Factors: 2 points for 3 or more risk factors or history of atherosclerotic disease, 1 point for 1 to 2 risk factors
Troponin: 2 points for troponin value >3 times the normal limit, 1 point for value 1-3 times the normal limit.

The authors developed these 5 categories “based on clinical experience and current medical literature,” and then applied the rule to 122 chest pain patients in the ED, finding a higher incidence of major adverse coronary events (MACE) with increasing score: 2.5% for low risk score of 0-3, 20.3% for intermediate risk score of 4-6, and 72.7% for score 7 or higher.16 The score has been retrospectively and prospectively validated.17,18 In a study of 2440 patients, the low risk group had a MACE of 1.7%, and the score had a c-statistic of 0.83, outperforming Thrombolysis in Myocardial Infarction (TIMI) and GRACE c-statistics of 0.75 and 0.70, respectively.18 In 2013, investigators calculated the HEART score on a multinational database of 2906 chest pain patients, finding a negative predictive value of 98.3% for MACE with HEART score less than or equal to 3.19

In the United States, Mahler et al have produced a series of 3 articles validating the HEART score and demonstrating its use in reducing cardiac testing and length of stay. In 1070 patients admitted to their observation unit, who were deemed low risk by physician assessment and TIMI <2, a score of less than or equal to 3 had a negative predictive value of 99.4% for MACE; the inclusion of serial troponins resulted in sensitivity of 100%, specificity of 83.1%, and negative predictive value of 100%.20 The team then conducted a secondary analysis of chest pain patients enrolled in a large multicenter trial (MIDAS) and compared HEART score, the North American Chest Pain Rule, and unstructured clinical assessment.21 Both rules had high sensitivities, but the HEART score identified 20% of patients suitable for early discharge, as compared to 4% for the North American Chest Pain Rule.21 Finally, Mahler’s team performed a randomized control trial of 282 patients investigating whether the HEART score with serial troponins compared with usual care could safely reduce cardiac testing.22 The HEART pathway resulted in an absolute reduction of 12.1% in cardiac testing, and median reduction in length of stay by 12 hours, with no missed MACE in discharged patients.22

 

 

Most recently, a stepped-wedge, cluster randomized trial across 9 hospitals published in 2017 investigated the utility of the HEART score. Despite enrolling only 3648 patients out of the statistically required sample size of 6600, they found that the HEART score was not inferior to usual care and there was no significant difference in median length of stay, but health care resources were typically lower in the HEART score group.23

Comment: While derived in a less conventional manner, the HEART score has held up in several validation studies and appears poised to safely decrease health care costs and increase ED efficiency and throughput. As more US EDs look to adopt high sensitivity troponin biomarkers, prospective studies will be needed to determine the role of the HEART score in this setting.

Thrombolysis in Myocardial Infarction (TIMI) score

The Thrombolysis in Myocardial Infarction (TIMI) score was developed in 2000 as a tool to risk-stratify patients with a diagnosis of unstable angina (UA) and non–ST-elevation myocardial infarction (NSTEMI). The score was derived from 1 arm (2047 patients) of a study comparing heparin with enoxaparin for treatment of NSTEMI, and validated in the other 3 arms of the study (5124 patients). Multivariate logistic regression was used to develop 7 variables of equal weight:

Age greater than or equal to 65yo
Three or more cardiac risk factors
Known coronary artery disease (with stenosis greater than or equal to 50%)
Aspirin use in the past 7 days
Severe angina (2 or more episodes in the past 24 hours)
EKG ST changes greater than or equal to 0.5 mm
Positive serum cardiac biomarkers

The investigators found that with a higher score, there was progressive increase in adverse cardiac outcomes, with a c-statistic of 0.65.24 This score was subsequently validated across several existing databases evaluating various therapeutic interventions for UA/NSTEMI and remained statistically significant, with increasing risk for MI and mortality with increasing score.25,26

Given the success in predicting patient outcomes and identifying patients who could benefit from more aggressive care, the TIMI risk score was then applied to unselected ED chest pain patients. In a secondary analysis of a prospective observational cohort of 3929 patient visits, the TIMI score correlated to the risk for adverse outcomes, with a risk of 2.1% at score 0.27

 

 

In a second prospective observational cohort of 1458 patient visits, a score of 0 correlated to a 1.7% incidence of adverse outcomes.28 In 2008, Body et al sought to increase the relative weight of EKG and biomarker factors to 5 (instead of 1) in a study of 796 patients, positing that these factors have more importance in the ED setting.29 Comparing the modified TIMI to the original, the modified instrument improved the area under curve (AUC) from 0.77 to 0.87.29 In follow-up validation studies, the modified score has an improved AUC, but the incidence of adverse outcomes at score 0 remains at about 2% for both modified and original score.30,31

In 2010, Hess et al performed a systematic review and meta-analysis of the studies that prospectively validated the TIMI score. They evaluated 10 validation studies, encompassing 17,265 patients across 5 countries, and found a strong linear relation between the TIMI score and adverse cardiac events.32 At TIMI score of 0, the incidence of cardiac events was 1.8%, with sensitivity of 97.2% and specificity of 25%. Subsequently, the ADAPT trial designed a diagnostic protocol consisting of TIMI risk assessment, EKG, and 0- and 2-hour troponin I biomarkers to find ED patients eligible for safe, early discharge.33 Of the 1975 patients, 20% were classified as low risk and eligible for early discharge, in that they had TIMI score of 0, a non-ischemic ECG, and negative troponins. Only one patient had a MACE at 30 days, giving the protocol a sensitivity of 99.7%, specificity of 23.4%, and negative predictive value of 99.7%.33

As the TIMI and HEART scores are both used to evaluate ED chest pain patients, several studies have sought to compare them. In 2015, Cartlon et al published a comparison of 5 established risk scores and 2 troponin assays in 963 patients: modified Goldman, TIMI, GRACE, HEART, and Vancouver Chest Pain Rule in combination with troponin T and I.34 The investigators found that a negative troponin T plus either TIMI score of 0 or a HEART score ≤3 gave a negative predictive value of greater than 99.5% with more than 30% of patients able to be discharged safely.34 In 2017, a comparison of the GRACE, HEART, and TIMI scores in 1833 chest pain patients found the HEART score identified more low risk patients than either of its comparators and had the highest AUC at 0.86.35 Other trials have similarly found HEART outperforming TIMI.36

Comment: The TIMI score was not specifically designed for ED use but has been adapted to serve this purpose. To the EP assessing the undifferentiated chest pain patient, the TIMI score uses clinical variables that may seem curious (eg, aspirin use) or impossible for EPs to ascertain (eg, presence or degree of stenosis). Even for patients with a score of 0, the risk for adverse outcomes remains stubbornly at the 2% level, similar to the original low risk HEART score findings.

Wells’ Criteria for Pulmonary Embolism

The diagnosis of pulmonary embolism (PE) is often challenging, requiring the use of multiple ED resources for timely diagnosis, and is therefore well suited for clinical decision instruments. The Wells’ Criteria were derived from a cohort of 1260 patients using logistic regression to identify 7 significant variables:

Clinical signs and symptoms of deep vein thrombosis (DVT): 3
PE is the most likely diagnosis: 3
Heart rate >100: 1.5
Immobilization or surgery in the previous 4 weeks: 1.5
Previously diagnosed DVT or PE: 1.5
Hemoptysis: 1
Malignancy with treatment within 6 months or palliative: 1

 

 

The investigators specifically linked the use of their instrument to the D-dimer assay, using their score to determine pretest probability and seeking to exclude the diagnosis in patients with low pretest probability and negative D-dimer result.37,38 They reported a three-tiered classification, with low risk at a score less than 2, moderate risk at scores from 2-6, and high risk at scores greater than 6. The risk for PE with a low risk score coupled with a negative D-dimer result were 1.5% and 2.7% in the derivation and validation cohorts. Using a two-tiered classification of PE unlikely at scores less than or equal to 4 and PE likely at scores 5 or greater, a PE unlikely score and a negative D-dimer had a 2.2% and 1.7% risk in the derivation and validation cohorts.

A subsequent study by Wells et al on 930 ED patients using the score plus D-dimer found a negative predictive value of 99.5% for a low risk score and a negative D-dimer.39 This allowed for reduced imaging in 53% of patients.39 Another external validation study found acceptable interrater agreement between physicians for the Wells’ score at kappa 0.62 for the three-tiered system and 0.7 for the two-tiered system.40 The Wells’ Criteria has been compared against the Geneva score with receiver operating characteristic curve analysis showing no difference between the two rules.41 In a large cohort of 3306 patients being evaluated for PE using the Wells’ score and D-dimer, for the 1028 patients with PE unlikely and a negative D-dimer, there was a 3-month incidence of venous thromboembolism (VTE) of 0.5%—none of which were fatal events.42

Comment: The Wells’ Criteria for pulmonary embolism combined with D-dimer is now the preferred approach for many EPs seeking to risk-stratify their patients for PE. Advances in age-adjusted cutoffs for D-dimer provide additional support for this powerful tool.

Pulmonary Embolism Rule-Out Criteria (PERC)

Given the low specificity of the D-dimer assay for VTE, researchers post–Wells’ Criteria have sought to further reduce unnecessary testing by reassessing the D-dimer’s role in the diagnostic pathway. The PERC rule was designed to reduce D-dimer use—and downstream CT scan testing—in low-risk patients. The investigators derived the rule from a population of patients for whom the pretest probability of PE was less than 15%, seeking a risk for PE less than 2% if the rule was satisfied. Using logistic regression in 3148 ED patients, 8 clinical criteria were obtained:

Age < 50 years Pulse <100
Pulse oximetry >94%
No unilateral leg swelling
No hemoptysis
No recent surgery
No prior PE/DVT
No hormone use

The variables were tested in 1427 low-risk and 382 very-low-risk patients (defined as being evaluated for dyspnea, but not part of the derivation or low-risk validation groups). In the low-risk group, the sensitivity, specificity, and false-negative rate was 96%, 27%, and 1.4% respectively. In the very-low-risk group, the sensitivity, specificity, and false-negative rate was 100%, 15%, and 0% respectively.43 The rule was further validated in a prospective multicenter study of 8138 patients; among patients with pretest probability less than 15% who were PERC negative, 1% had PE/DVT within 45 days.44 The large PERCEPIC trial on 1757 patients found low pretest probability patients who were PERC negative had a false-negative rate of 1.2% and estimated that the use of PERC could decrease the median length of stay in the ED by at least 2 hours.45 The PROPER study, a non-inferiority, crossover cluster-randomized trial in 14 EDs across France, found that use of the PERC rule was not inferior to conventional care and that it was associated with reduced ED length of stay and CT use.45,46

 

 

There has been criticism from some European studies that the PERC rule misses too many PEs. A provocatively titled multinational study from Hugli et al examined patients suspected to have PE in Switzerland, France, and Belgium. The investigators applied the PERC rule and then stratified the patients by pretest probability as defined by the Geneva score, which includes many of the same criteria as PERC. They found the PERC rule identified a small proportion of patients with suspected PE as very low risk (13.2%) and that the prevalence of PE among these patients was 5.4%. Critics of this study have noted that the PERC rule was designed to be applied in low-risk patients, not to define the low-risk population.47 Another study examined a retrospective cohort of patients in whom a D-dimer was ordered to exclude PE, and then calculated the Wells’ and PERC score from the medical record. The investigators found that the combination of Wells and PERC missed 2 PEs out of their population of 377 patients.48 However, a subsequent meta-analysis analyzed 11 studies—including the two negative studies—and found a pooled sensitivity of 97%, specificity of 23%, and negative likelihood ratio of 0.18, concluding that when the pretest probability is low, PERC is sensitive enough to exclude D-dimer testing.49

Comment: Given the number of disease states and sampling techniques that can cause nonspecific elevation in D-dimer assay, the PERC rule provides a useful tool in low-risk populations for excluding PE without laboratory testing. The key is applying the rule to the appropriate population, as stratified by gestalt or clinical score.

Infectious Disease

Mortality in Emergency Department Sepsis (MEDS) score

The Mortality in Emergency Department Sepsis (MEDS) score was developed as a risk stratification tool for patients presenting to the ED with concern for sepsis. This score was prospectively derived from a population of 3301 ED patient encounters during which a blood culture was ordered. Charts were reviewed and several data points extracted and analyzed to determine the following univariate predictors of 28-day mortality: terminal illness, tachypnea or hypoxia, septic shock, platelets <150,000/mm3, bands >5%, age >65 years, lower respiratory infection, nursing home residence, and altered mental status. These predictors were assigned point values based on their odds ratios, and points are added to generate a total score. Mortality risk was stratified into groups based on total score, with percentage mortality as follows: score 0-4: 0.9%; 5-7: 2.0%; 8-12: 7.8%; 13-15: 20.2%; >15: 50%. A separate validation cohort had the following mortality rates: score 0-4: 1.1%; 5-7: 4.4%; 8-12: 9.3%; 13-15: 16.1%; >15: 39%.50

The MEDS score was subsequently shown to also be predictive for 1-year mortality as well, with an area under receiver operating curve (AUROC) of 0.76 for 1-year mortality.51 A subsequent study showed similar mortality rates when expanding the patient population to include all patients with systemic inflammatory response syndrome (SIRS), potentially broadening the potential application of MEDS in ED risk stratification.52 However, the score was shown to be less predictive in patients with severe sepsis and septic shock, underestimating mortality in all MEDS score groups.53 Still, the MEDS score was demonstrated in multiple validation studies as a reliable risk stratification tool in patients with suspected infection or SIRS.54,55

Comment: The MEDS score is not as well studied in the literature as the SIRS criteria or QuickSOFA but is a validated risk stratification tool in patients with suspected infection and is ED specific. This tool, similar to Pneumonia Severity Index and CURB-65 (discussed below), can guide management of patients from the ED. Very-low-risk (score 0-4) patients can be treated as outpatients, low risk (score 5-7) patients warranting consideration of a short inpatient stay, and moderate to high risk (>8) requiring inpatient management. At present, there is insufficient evidence regarding the role of the MEDS score to guide inpatient disposition of floor vs. ICU in moderate to high-risk patients.

 

 

Pneumonia Severity Index

The Pneumonia Severity Index (PSI) was developed as a tool to predict mortality risk from pneumonia, allowing providers to appropriately manage care for these patients in the hospital or as outpatients. A derivation cohort of 14199 patients was utilized to create a prediction rule in two steps meant to parallel a clinician’s decision-making process. The first step identified a population of patients that were at low risk for death, which were assigned to class I. The second step quantified the risk for death in the remaining patients using weighted factors including demographics, comorbidities, exam findings, and clinical data. In all, 20 variables were used and assigned corresponding points, the sum of which would assign a patient to a particular risk for mortality (class II-V).56

Mortality risk was relatively low for patients in class I and II (0.4 and 0.7%, respectively). Class III carried a mortality risk of 2.8%. Mortality increased with class IV and class V classification: 8.5% and 31.1%, respectively. These data were replicated with a separate validation cohort of 38039 patients, with similar mortality rates in each class. This study concluded with the recommendation that patients diagnosed with pneumonia falling into class I and II mortality risk should be managed as outpatients, possible brief inpatient observation for class III, and class IV and V managed as inpatients.56

Subsequent trials evaluating the utility of the PSI score in the management of patients diagnosed with pneumonia randomized low-risk patients (class I-III PSI) to treatment as outpatients vs inpatients. There were no statistical differences in adverse outcomes (ICU admission, hospital readmission, mortality, complications), with notable improvements in hospital admission rates and patient satisfaction.57,58 A meta-analysis of 6 studies that used a clinical decision tools to identify low-risk patients to treat pneumonia as outpatients showed no significant difference in mortality, patient readmissions, or patient satisfaction. Low-risk patients that required admission often included comorbid illnesses not included in the PSI, inability to take oral medications, barriers to compliance, or hypoxemia.59

Though the PSI has been shown to successfully identify patients at low risk for mortality, it has been less accurate at predicting and stratifying classes of severe pneumonia. A meta-analysis by Loke et al showed that PSI class IV or V had pooled sensitivity of 0.90 and specificity 0.53 for 30-day mortality, which was significantly better than the CURB-65 rule (discussed below).60 However, a subsequent large meta-analysis showed that PSI class IV or V had a sensitivity of 75% and specificity 40% for requiring ICU intervention or admission, which are not sufficient to guide disposition decisions.61

CURB-65

One of the criticisms of PSI included its complexity, with inclusion of 20 factors making it impractical for use as a bedside tool. The CURB-65 score was developed with a similar goal of identifying low-risk patients with pneumonia who would be candidates for outpatient management, but also patients at high risk for mortality or ICU admission. Criteria for severe pneumonia published by the British Thoracic Society include: respiratory rate ≥ 30 breaths/min, diastolic blood pressure ≤60 mmHg, and blood urea nitrogen >7 mmol/L. The presence of 2 criteria was 88% sensitive and 72% specific for mortality or ICU admission.62 The CURB-65 tool was based on these criteria, with the addition of age ≥65 years, which was found to be a separate independent predictor of mortality. Thus, the 5 criteria making up the score are as follows (1 point each, 0-5 total):

Confusion, meaning Mental Test Score ≤8, or disorientation to person, place, or time
Urea >7 mmol/L (>19.6 mg/dL)
Respiratory rate ≥ 30 breaths/minute
Blood pressure (systolic < 90 mmHg or diastolic ≤ 60 mmHg)
Age ≥ 65 years

 

 

A score of 0-1 of these criteria characterized low mortality risk (<1.5%) in the test group, a score of 2 was intermediate mortality risk (9.2%), and a score of 3 or more associated with high mortality risk (22%). A score ≥ 2 was 93% sensitive and 49% specific for 30-day mortality.63

A subsequent prospective validation study by Aujesky et al that included 3181 patients with community-acquired pneumonia demonstrated slightly higher mortality rates for each CURB-65 score (0.6%, 3%, 6.1%, 13%, 17%, 43% mortality in scores of 0-5, respectively).64 In particular, the 3% mortality rate in CURB-65 scores of 1 is similar to PSI class III mortality rates, suggesting a lower threshold (CURB-65 ≥1) for consideration of admission for management. Another validation study by Capelastegui et al showed similar mortality rates to the derivation study for specific CURB-65 scores, but noted 53% of patients with a score of 1 also were found to have characteristics that were independent for a poor prognosis, and should be considered in the decision for outpatient or inpatient treatment.65 Furthermore, a recent study found that of patients in the ED with a CURB-65 score of 1, 8% still required critical care intervention.66 Thus, use of CURB-65 in screening for low-risk patients with community-acquired pneumonia is recommended to be limited to scores of 0. However, as with PSI, validation studies have yet to show predictive utility of scores suggesting severe pneumonia (CURB-65 ≥3) in predicting mortality or ICU requirement.60,61

As validation studies have suggested only patients with a CURB-65 score of 0 are screened low risk enough for outpatient treatment, greater weight may be placed on utility of CRB-65 as a tool. This rule, initially proposed in the same study as CURB-65, omits blood urea nitrogen as a factor to only rely on history and physical exam data with a score of 0 indicating low risk.63 In initial derivation and validation studies, this rule demonstrated <1.6% mortality risk with a score of 0, with risk increasing to 4-8.6% in scores of 1.63,65 Multiple studies have compared CRB-65 and CURB-65, with only marginal but not statistically significant improvement in prognostic utility of CURB-65.65,67 A meta-analysis of 1648 patients even showed only 0.5% mortality risk in CRB-65 ≤1; potentially including CRB-65 0-1 as low risk, though, would require further study.68 Although multiple validation studies have also successfully stratified low risk to similar mortality risk (<1.6%), accuracy wanes with higher CRB-65 scores.69

Several studies have directly compared CURB-65 and PSI both in terms of identifying low-risk patients and stratifying disease severity.60,61,64,68,70-72 Multiple studies have shown similar mortality risk in low-risk populations and have demonstrated sensitivities for mortality greater than 96% for CURB-65/CRB-65 = 0 and PSI class I-III, albeit with specificities ranging from 18-65%.64,68,70 In stratifying patients into different levels of severity (ward vs ICU patients), PSI has shown slightly better sensitivity/specificity for mortality and/or ICU intervention, though neither is strong enough to significantly stratify severe pneumonia to serve as tools for directing inpatient management.60,61

Comment: PSI, CRB-65, and CURB-65 have been well validated as screening tools for low-risk patients who should be treated as outpatients (CURB-65 or CRB-65 = 0, PSI class I and II). A moderate-risk population (CURB-65 = 1 or 2, PSI class III) may benefit from treatment as inpatient or outpatient at clinician judgement. Use of these tools for determining disease severity and possible ICU requirement is not as reliable, and other clinical factors should be considered.

Conclusion

This article provides an overview of several common clinical decision instruments and the evidence behind them. Ultimately, many institutions have incorporated clinical decision rules directly into the electronic medical record, and this strategy will not only increase their use, but hopefully collect further data on whether the instruments truly perform better than unstructured clinical judgement.

In this second part of “Playing by the Rules,” we will examine validated clinical decision rules that assist emergency physicians (EPs) in the diagnosis and treatment of nontraumatic conditions. Most trauma rules seek to answer a yes or no question regarding the utility of testing for specific disease states when the diagnosis is not clinically apparent.

For example, the Canadian CT Head Rule describes a number of conditions that, if met, can predict the absence of traumatic lesions requiring neurosurgical intervention in the alert patient with head injury, and thus obviate the need for imaging in those instances. In contrast, many medical rules are actually risk stratification scales for treatment and diagnosis, categorizing patients into low- to high-risk groups based on clinical factors. While traumatic conditions are linked to a specific inciting event or “trauma,” medical diseases may have multiple causative factors or may be delayed in presentation to the emergency department (ED), which subsequently increases the complexity of these decision instruments.

Rather than an exhaustive list of all clinical decision rules or risk stratification scales relevant to emergency medicine, this installment will provide EPs with a review of common instruments and the evidence behind them.

Central Nervous System

Ottawa Subarachnoid Hemorrhage Rule

The Ottawa Subarachnoid Hemorrhage Rule offers guidance for diagnosing atraumatic subarachnoid hemorrhage (SAH) in alert, neurologically intact adult patients presenting to the ED with a headache reaching maximal intensity within 1 hour of onset. The rule states that if none of the following conditions are present, then the diagnosis of SAH can be excluded without further testing:

Symptom of neck pain or stiffness
Age greater than 40 years old
Witnessed loss of consciousness
Onset during exertion
Thunderclap headache with peak pain instantly
Limited neck flexion on exam

The validation study prospectively enrolled 1153 adults of whom 67 had a positive workup for SAH (defined as subarachnoid blood visible on noncontrast CT scan of the head, xanthochromia of cerebrospinal fluid on visual inspection, or the presence of >1 million erythrocytes in the final tube of cerebrospinal fluid with an aneurysm or arteriovenous malformation confirmed on cerebral angiography).1 Of note, patients with prior history of cerebral aneurysm or SAH were excluded, as were patients with recurrent headaches similar to the presenting complaint, patients with focal neurologic deficits or papilledema, or patients with a history of brain neoplasm, ventricular shunt, or hydrocephalus. The authors found that the rule was 100% sensitive and 13% specific for detecting SAH, with a kappa of 0.82, which suggests good interrater reliability.1

Comment: It is important to note that the authors excluded patients with a history of cerebral aneurysm or prior SAH, and therefore the rule should not be applied to these patients in clinical practice. The utility of this rule is somewhat limited secondary to the age cutoff, as the incidence of aneurysmal SAH increases considerably after the fifth decade of life.2 Ultimately, this rule—combined with the authors’ previous work showing that CT performed within 6 hours of headache onset can rule out SAH—provides a powerful diagnostic tool for EPs considering SAH in the ED.3

ABCD2 Score

The ABCD2 score was developed to identify transient ischemic attack (TIA) patients at risk for early stroke, and thus inform decisions regarding admission and resource utilization in the ED and outpatient clinic setting.4 The score was created by combining elements of two previously existing rules, the California and the ABCD scales. Patients presenting with TIA symptoms are assigned points based on:

Age: 1 point if ≥ 60 years
Blood Pressure: 1 point if ≥ 140/90
Clinical Deficit: 2 points for unilateral weakness, 1 point for speech impairment without unilateral weakness
Duration: 2 points for ≥ 60 minutes, 1 point for 10 to 59 minutes
Diabetes: 1 point if diabetic

 

 

The greater the number of points, the higher the risk for imminent stroke, from low (0-3 points) to moderate (4-5 points) to high (6-7 points). The initial retrospective internal validation study found that the low, moderate, and high groups correlated to 7-day stroke risk of 1.2%, 5.9%, and 11.7%, respectively. Subsequently, the ABCD2 score was rapidly incorporated into institutional and national protocols for assessing risk for stroke and featured prominently in the 2009 American Heart Association guidelines on TIA, which recommend hospitalization for a score of 3 or greater.4,5

More recently, a multicenter prospective external validation study of more than 2000 TIA patients found that using the American Heart Association recommended cutoff of 3 or greater resulted in a sensitivity of 94.7% for detecting those patients who sustained a stroke within 7 days, but a specificity of only 12.5%.6 The investigators concluded that a specificity this low would require “almost all” of the TIA patients in their cohort (87.6%) to be admitted to the hospital—even though only 3.2% of their patients had a stroke within 90 days.6 Even when examined at other cutoff scores, the investigators found the ABCD2 score to have poor accuracy.6

Comment: Decreasing resource utilization is a laudable goal, but it does not appear that the ABCD2 score provides much guidance on which TIA patients can safely go home. Moreover, the increasing availability of advanced imaging and tele-neurology consultation in the ED have changed the landscape of TIA and stroke care. Many EPs have since argued that the ABCD2 score adds little to their evaluation.7

Abdomen

Alvarado Score

There are multiple clinical prediction rules for appendicitis. Among the most commonly utilized by EPs and surgical consultants are the Alvarado score and the Appendicitis Inflammatory Response Score. The Alvarado score was derived in 1986 based on a retrospective review of 305 abdominal pain patients of whom 227 (aged 4 to 80 years) had appendicitis.8 Factors were identified and weighted, which can be recalled through the mnemonic MANTRELS:

Migration of pain to the right lower quadrant: 1 point
Anorexia or acetone in urine: 1 point
Nausea or vomiting: 1 point
Tenderness in the right lower quadrant: 2 points
Rebound tenderness: 1 point
Elevation of the temperature > 37.3°C: 1 point
Leukocytosis >10K X 109/L: 2 points
Shift to the left of neutrophils (>75%): 1 point

The original article posited that a score of 5 or 6 was “compatible” with the diagnosis of acute appendicitis—necessitating further observation for possible appendicitis—and that higher scores indicated an increasing probability of disease.8 Of note, the rule has also been adapted for clinical settings where differentials are not easily obtainable with the left shift criterion removed; this is known as the modified Alvarado score and calculated out at a maximum of 9.9

 

 

Since the original Alvarado study was published, multiple small studies have attempted to validate or otherwise retrospectively assess the utility of this rule. A frequently cited systematic review of 42 prospective and retrospective studies by Ohle et al found that a score of <5 showed a sensitivity of 99% overall (96% in men, 99% in women, and 99% in children) for ruling out admission/observation of patient with suspected appendicitis, though the specificity for ruling in the diagnosis at scores 7 and higher was only 81% overall.10

However, a more recent prospective observational study of adult abdominal pain patients presenting to large American urban EDs found the modified Alvarado rule at cutoff levels of 3, 4, and 5 had sensitivities of only 72%, 55%, and 36%, respectively, of ruling out the diagnosis.11 In comparison, the study found that physicians’ clinical judgement of appendicitis being the first or second most likely diagnosis had a sensitivity of 93% for predicting appendicitis.11

Comment: The Alvarado score was developed to help rule out and rule in the diagnosis of appendicitis. However, with the increasing availability of CT scanning in EDs, the diagnostic pathway in unclear cases has shifted from admission/observation to CT scanning, which has the benefit of elucidating other pathology as well. The utility of the Alvarado rule has been called into question. Ultimately, there is data in support of the Alvarado rule from older articles and studies in resource-poor environments, and newer studies may reflect less rigorous application of the rule when CT scanning is the default clinical pathway. Further studies that focus specifically on the Alvarado score as a rule out test to decrease CT utilization may be instructive.

Appendicitis Inflammatory Response (AIR) score

The appendicitis inflammatory response (AIR) score was derived in a cohort of 316 patients and validated on a sample of 229 adults and children with suspected appendicitis.12 The authors specifically sought to create a rule that outperformed the Alvarado score; the criteria are:

Vomiting: 1 point
Right iliac fossa pain: 1 point
Rebound tenderness: 1 point for light, 2 for medium, 3 for strong
Temperature >38.5°C: 1 point
Polymorphonuclear leukocytes: 1 point for 70%-84%, 2 for 85% or greater
White blood cell count: 1 point for 10,000-14,900, 2 for 15,000 or greater
C-reactive protein level (mg/dL): 1 point for 10-49, 2 for 50 or greater

Patients with a score of 0-4 were classified as low risk, with recommendation for outpatient follow-up if general condition unchanged; a score of 5-8 as indeterminate risk, with recommendation for active observation with serial exams, imaging, or diagnostic laparoscopy; or a score of 9-12 as high risk, with recommendation for surgical exploration.12 In the validation cohort, the investigators found an AIR score or Alvarado score greater than 4 to have, respectively, 96% or 97% sensitivity and 73% or 61% specificity for detecting appendicitis.12 A high score of greater than 8 on either the AIR or Alvarado had respectively 37% or 28% sensitivity but specificity of 99% for detecting appendicitis with either instrument.12

 

 

In an external validation study, the AIR and Alvarado scores were calculated on a series of 941 patients (aged 1 to 97 years) being evaluated for possible appendicitis; 201 patients were younger than 18.13 At a cutoff of greater than 4, the sensitivity and specificity were found to be 93% and 85% for the AIR and 90% and 55% for Alvarado.13 In a cohort of 182 patients (aged 4 to 75 years), a score of 4 or greater on the AIR and Alvarado was found to have comparable sensitivity to that of a senior surgical consultant for detecting appendicitis—with sensitivities of 94%, 93%, and 90% respectively.14 Subsequently, the original investigators undertook a large multicenter implementation study of the AIR at 24 hospitals of patients (aged 5 to 96 years) with suspected appendicitis. As compared to the pre-implementation group, using AIR to categorize patients as low risk resulted in significantly fewer imaging studies, admissions, and surgical explorations.15

Comment: The AIR has the benefit of recent prospective studies that assess performance of the rule in settings that mirror the practice environments of most EPs today. The classification of rebound tenderness as light, medium, or strong may be difficult to ascertain. Ultimately, reductions in imaging, admissions, and surgical explorations are important goals and EPs might benefit from using this rule to guide imaging.

CHEST

HEART Score

The increasingly popular HEART score, first developed by physicians in the Netherlands in 2008, seeks to risk-stratify patients presenting to the ED with suspected cardiac chest pain without ST-elevation myocardial infarction (STEMI). It scores patients 0 to 2 on 5 different characteristics (with a total scored of 10 possible points):

History: 2 points for highly suspicious, 1 point for moderately suspicious
EKG: 2 points for significant ST deviation, 1 point for nonspecific repolarization disturbance
Age: 2 points for age 65 years or greater, 1 point for age 45-64 years
Risk Factors: 2 points for 3 or more risk factors or history of atherosclerotic disease, 1 point for 1 to 2 risk factors
Troponin: 2 points for troponin value >3 times the normal limit, 1 point for value 1-3 times the normal limit.

The authors developed these 5 categories “based on clinical experience and current medical literature,” and then applied the rule to 122 chest pain patients in the ED, finding a higher incidence of major adverse coronary events (MACE) with increasing score: 2.5% for low risk score of 0-3, 20.3% for intermediate risk score of 4-6, and 72.7% for score 7 or higher.16 The score has been retrospectively and prospectively validated.17,18 In a study of 2440 patients, the low risk group had a MACE of 1.7%, and the score had a c-statistic of 0.83, outperforming Thrombolysis in Myocardial Infarction (TIMI) and GRACE c-statistics of 0.75 and 0.70, respectively.18 In 2013, investigators calculated the HEART score on a multinational database of 2906 chest pain patients, finding a negative predictive value of 98.3% for MACE with HEART score less than or equal to 3.19

In the United States, Mahler et al have produced a series of 3 articles validating the HEART score and demonstrating its use in reducing cardiac testing and length of stay. In 1070 patients admitted to their observation unit, who were deemed low risk by physician assessment and TIMI <2, a score of less than or equal to 3 had a negative predictive value of 99.4% for MACE; the inclusion of serial troponins resulted in sensitivity of 100%, specificity of 83.1%, and negative predictive value of 100%.20 The team then conducted a secondary analysis of chest pain patients enrolled in a large multicenter trial (MIDAS) and compared HEART score, the North American Chest Pain Rule, and unstructured clinical assessment.21 Both rules had high sensitivities, but the HEART score identified 20% of patients suitable for early discharge, as compared to 4% for the North American Chest Pain Rule.21 Finally, Mahler’s team performed a randomized control trial of 282 patients investigating whether the HEART score with serial troponins compared with usual care could safely reduce cardiac testing.22 The HEART pathway resulted in an absolute reduction of 12.1% in cardiac testing, and median reduction in length of stay by 12 hours, with no missed MACE in discharged patients.22

 

 

Most recently, a stepped-wedge, cluster randomized trial across 9 hospitals published in 2017 investigated the utility of the HEART score. Despite enrolling only 3648 patients out of the statistically required sample size of 6600, they found that the HEART score was not inferior to usual care and there was no significant difference in median length of stay, but health care resources were typically lower in the HEART score group.23

Comment: While derived in a less conventional manner, the HEART score has held up in several validation studies and appears poised to safely decrease health care costs and increase ED efficiency and throughput. As more US EDs look to adopt high sensitivity troponin biomarkers, prospective studies will be needed to determine the role of the HEART score in this setting.

Thrombolysis in Myocardial Infarction (TIMI) score

The Thrombolysis in Myocardial Infarction (TIMI) score was developed in 2000 as a tool to risk-stratify patients with a diagnosis of unstable angina (UA) and non–ST-elevation myocardial infarction (NSTEMI). The score was derived from 1 arm (2047 patients) of a study comparing heparin with enoxaparin for treatment of NSTEMI, and validated in the other 3 arms of the study (5124 patients). Multivariate logistic regression was used to develop 7 variables of equal weight:

Age greater than or equal to 65yo
Three or more cardiac risk factors
Known coronary artery disease (with stenosis greater than or equal to 50%)
Aspirin use in the past 7 days
Severe angina (2 or more episodes in the past 24 hours)
EKG ST changes greater than or equal to 0.5 mm
Positive serum cardiac biomarkers

The investigators found that with a higher score, there was progressive increase in adverse cardiac outcomes, with a c-statistic of 0.65.24 This score was subsequently validated across several existing databases evaluating various therapeutic interventions for UA/NSTEMI and remained statistically significant, with increasing risk for MI and mortality with increasing score.25,26

Given the success in predicting patient outcomes and identifying patients who could benefit from more aggressive care, the TIMI risk score was then applied to unselected ED chest pain patients. In a secondary analysis of a prospective observational cohort of 3929 patient visits, the TIMI score correlated to the risk for adverse outcomes, with a risk of 2.1% at score 0.27

 

 

In a second prospective observational cohort of 1458 patient visits, a score of 0 correlated to a 1.7% incidence of adverse outcomes.28 In 2008, Body et al sought to increase the relative weight of EKG and biomarker factors to 5 (instead of 1) in a study of 796 patients, positing that these factors have more importance in the ED setting.29 Comparing the modified TIMI to the original, the modified instrument improved the area under curve (AUC) from 0.77 to 0.87.29 In follow-up validation studies, the modified score has an improved AUC, but the incidence of adverse outcomes at score 0 remains at about 2% for both modified and original score.30,31

In 2010, Hess et al performed a systematic review and meta-analysis of the studies that prospectively validated the TIMI score. They evaluated 10 validation studies, encompassing 17,265 patients across 5 countries, and found a strong linear relation between the TIMI score and adverse cardiac events.32 At TIMI score of 0, the incidence of cardiac events was 1.8%, with sensitivity of 97.2% and specificity of 25%. Subsequently, the ADAPT trial designed a diagnostic protocol consisting of TIMI risk assessment, EKG, and 0- and 2-hour troponin I biomarkers to find ED patients eligible for safe, early discharge.33 Of the 1975 patients, 20% were classified as low risk and eligible for early discharge, in that they had TIMI score of 0, a non-ischemic ECG, and negative troponins. Only one patient had a MACE at 30 days, giving the protocol a sensitivity of 99.7%, specificity of 23.4%, and negative predictive value of 99.7%.33

As the TIMI and HEART scores are both used to evaluate ED chest pain patients, several studies have sought to compare them. In 2015, Cartlon et al published a comparison of 5 established risk scores and 2 troponin assays in 963 patients: modified Goldman, TIMI, GRACE, HEART, and Vancouver Chest Pain Rule in combination with troponin T and I.34 The investigators found that a negative troponin T plus either TIMI score of 0 or a HEART score ≤3 gave a negative predictive value of greater than 99.5% with more than 30% of patients able to be discharged safely.34 In 2017, a comparison of the GRACE, HEART, and TIMI scores in 1833 chest pain patients found the HEART score identified more low risk patients than either of its comparators and had the highest AUC at 0.86.35 Other trials have similarly found HEART outperforming TIMI.36

Comment: The TIMI score was not specifically designed for ED use but has been adapted to serve this purpose. To the EP assessing the undifferentiated chest pain patient, the TIMI score uses clinical variables that may seem curious (eg, aspirin use) or impossible for EPs to ascertain (eg, presence or degree of stenosis). Even for patients with a score of 0, the risk for adverse outcomes remains stubbornly at the 2% level, similar to the original low risk HEART score findings.

Wells’ Criteria for Pulmonary Embolism

The diagnosis of pulmonary embolism (PE) is often challenging, requiring the use of multiple ED resources for timely diagnosis, and is therefore well suited for clinical decision instruments. The Wells’ Criteria were derived from a cohort of 1260 patients using logistic regression to identify 7 significant variables:

Clinical signs and symptoms of deep vein thrombosis (DVT): 3
PE is the most likely diagnosis: 3
Heart rate >100: 1.5
Immobilization or surgery in the previous 4 weeks: 1.5
Previously diagnosed DVT or PE: 1.5
Hemoptysis: 1
Malignancy with treatment within 6 months or palliative: 1

 

 

The investigators specifically linked the use of their instrument to the D-dimer assay, using their score to determine pretest probability and seeking to exclude the diagnosis in patients with low pretest probability and negative D-dimer result.37,38 They reported a three-tiered classification, with low risk at a score less than 2, moderate risk at scores from 2-6, and high risk at scores greater than 6. The risk for PE with a low risk score coupled with a negative D-dimer result were 1.5% and 2.7% in the derivation and validation cohorts. Using a two-tiered classification of PE unlikely at scores less than or equal to 4 and PE likely at scores 5 or greater, a PE unlikely score and a negative D-dimer had a 2.2% and 1.7% risk in the derivation and validation cohorts.

A subsequent study by Wells et al on 930 ED patients using the score plus D-dimer found a negative predictive value of 99.5% for a low risk score and a negative D-dimer.39 This allowed for reduced imaging in 53% of patients.39 Another external validation study found acceptable interrater agreement between physicians for the Wells’ score at kappa 0.62 for the three-tiered system and 0.7 for the two-tiered system.40 The Wells’ Criteria has been compared against the Geneva score with receiver operating characteristic curve analysis showing no difference between the two rules.41 In a large cohort of 3306 patients being evaluated for PE using the Wells’ score and D-dimer, for the 1028 patients with PE unlikely and a negative D-dimer, there was a 3-month incidence of venous thromboembolism (VTE) of 0.5%—none of which were fatal events.42

Comment: The Wells’ Criteria for pulmonary embolism combined with D-dimer is now the preferred approach for many EPs seeking to risk-stratify their patients for PE. Advances in age-adjusted cutoffs for D-dimer provide additional support for this powerful tool.

Pulmonary Embolism Rule-Out Criteria (PERC)

Given the low specificity of the D-dimer assay for VTE, researchers post–Wells’ Criteria have sought to further reduce unnecessary testing by reassessing the D-dimer’s role in the diagnostic pathway. The PERC rule was designed to reduce D-dimer use—and downstream CT scan testing—in low-risk patients. The investigators derived the rule from a population of patients for whom the pretest probability of PE was less than 15%, seeking a risk for PE less than 2% if the rule was satisfied. Using logistic regression in 3148 ED patients, 8 clinical criteria were obtained:

Age < 50 years Pulse <100
Pulse oximetry >94%
No unilateral leg swelling
No hemoptysis
No recent surgery
No prior PE/DVT
No hormone use

The variables were tested in 1427 low-risk and 382 very-low-risk patients (defined as being evaluated for dyspnea, but not part of the derivation or low-risk validation groups). In the low-risk group, the sensitivity, specificity, and false-negative rate was 96%, 27%, and 1.4% respectively. In the very-low-risk group, the sensitivity, specificity, and false-negative rate was 100%, 15%, and 0% respectively.43 The rule was further validated in a prospective multicenter study of 8138 patients; among patients with pretest probability less than 15% who were PERC negative, 1% had PE/DVT within 45 days.44 The large PERCEPIC trial on 1757 patients found low pretest probability patients who were PERC negative had a false-negative rate of 1.2% and estimated that the use of PERC could decrease the median length of stay in the ED by at least 2 hours.45 The PROPER study, a non-inferiority, crossover cluster-randomized trial in 14 EDs across France, found that use of the PERC rule was not inferior to conventional care and that it was associated with reduced ED length of stay and CT use.45,46

 

 

There has been criticism from some European studies that the PERC rule misses too many PEs. A provocatively titled multinational study from Hugli et al examined patients suspected to have PE in Switzerland, France, and Belgium. The investigators applied the PERC rule and then stratified the patients by pretest probability as defined by the Geneva score, which includes many of the same criteria as PERC. They found the PERC rule identified a small proportion of patients with suspected PE as very low risk (13.2%) and that the prevalence of PE among these patients was 5.4%. Critics of this study have noted that the PERC rule was designed to be applied in low-risk patients, not to define the low-risk population.47 Another study examined a retrospective cohort of patients in whom a D-dimer was ordered to exclude PE, and then calculated the Wells’ and PERC score from the medical record. The investigators found that the combination of Wells and PERC missed 2 PEs out of their population of 377 patients.48 However, a subsequent meta-analysis analyzed 11 studies—including the two negative studies—and found a pooled sensitivity of 97%, specificity of 23%, and negative likelihood ratio of 0.18, concluding that when the pretest probability is low, PERC is sensitive enough to exclude D-dimer testing.49

Comment: Given the number of disease states and sampling techniques that can cause nonspecific elevation in D-dimer assay, the PERC rule provides a useful tool in low-risk populations for excluding PE without laboratory testing. The key is applying the rule to the appropriate population, as stratified by gestalt or clinical score.

Infectious Disease

Mortality in Emergency Department Sepsis (MEDS) score

The Mortality in Emergency Department Sepsis (MEDS) score was developed as a risk stratification tool for patients presenting to the ED with concern for sepsis. This score was prospectively derived from a population of 3301 ED patient encounters during which a blood culture was ordered. Charts were reviewed and several data points extracted and analyzed to determine the following univariate predictors of 28-day mortality: terminal illness, tachypnea or hypoxia, septic shock, platelets <150,000/mm3, bands >5%, age >65 years, lower respiratory infection, nursing home residence, and altered mental status. These predictors were assigned point values based on their odds ratios, and points are added to generate a total score. Mortality risk was stratified into groups based on total score, with percentage mortality as follows: score 0-4: 0.9%; 5-7: 2.0%; 8-12: 7.8%; 13-15: 20.2%; >15: 50%. A separate validation cohort had the following mortality rates: score 0-4: 1.1%; 5-7: 4.4%; 8-12: 9.3%; 13-15: 16.1%; >15: 39%.50

The MEDS score was subsequently shown to also be predictive for 1-year mortality as well, with an area under receiver operating curve (AUROC) of 0.76 for 1-year mortality.51 A subsequent study showed similar mortality rates when expanding the patient population to include all patients with systemic inflammatory response syndrome (SIRS), potentially broadening the potential application of MEDS in ED risk stratification.52 However, the score was shown to be less predictive in patients with severe sepsis and septic shock, underestimating mortality in all MEDS score groups.53 Still, the MEDS score was demonstrated in multiple validation studies as a reliable risk stratification tool in patients with suspected infection or SIRS.54,55

Comment: The MEDS score is not as well studied in the literature as the SIRS criteria or QuickSOFA but is a validated risk stratification tool in patients with suspected infection and is ED specific. This tool, similar to Pneumonia Severity Index and CURB-65 (discussed below), can guide management of patients from the ED. Very-low-risk (score 0-4) patients can be treated as outpatients, low risk (score 5-7) patients warranting consideration of a short inpatient stay, and moderate to high risk (>8) requiring inpatient management. At present, there is insufficient evidence regarding the role of the MEDS score to guide inpatient disposition of floor vs. ICU in moderate to high-risk patients.

 

 

Pneumonia Severity Index

The Pneumonia Severity Index (PSI) was developed as a tool to predict mortality risk from pneumonia, allowing providers to appropriately manage care for these patients in the hospital or as outpatients. A derivation cohort of 14199 patients was utilized to create a prediction rule in two steps meant to parallel a clinician’s decision-making process. The first step identified a population of patients that were at low risk for death, which were assigned to class I. The second step quantified the risk for death in the remaining patients using weighted factors including demographics, comorbidities, exam findings, and clinical data. In all, 20 variables were used and assigned corresponding points, the sum of which would assign a patient to a particular risk for mortality (class II-V).56

Mortality risk was relatively low for patients in class I and II (0.4 and 0.7%, respectively). Class III carried a mortality risk of 2.8%. Mortality increased with class IV and class V classification: 8.5% and 31.1%, respectively. These data were replicated with a separate validation cohort of 38039 patients, with similar mortality rates in each class. This study concluded with the recommendation that patients diagnosed with pneumonia falling into class I and II mortality risk should be managed as outpatients, possible brief inpatient observation for class III, and class IV and V managed as inpatients.56

Subsequent trials evaluating the utility of the PSI score in the management of patients diagnosed with pneumonia randomized low-risk patients (class I-III PSI) to treatment as outpatients vs inpatients. There were no statistical differences in adverse outcomes (ICU admission, hospital readmission, mortality, complications), with notable improvements in hospital admission rates and patient satisfaction.57,58 A meta-analysis of 6 studies that used a clinical decision tools to identify low-risk patients to treat pneumonia as outpatients showed no significant difference in mortality, patient readmissions, or patient satisfaction. Low-risk patients that required admission often included comorbid illnesses not included in the PSI, inability to take oral medications, barriers to compliance, or hypoxemia.59

Though the PSI has been shown to successfully identify patients at low risk for mortality, it has been less accurate at predicting and stratifying classes of severe pneumonia. A meta-analysis by Loke et al showed that PSI class IV or V had pooled sensitivity of 0.90 and specificity 0.53 for 30-day mortality, which was significantly better than the CURB-65 rule (discussed below).60 However, a subsequent large meta-analysis showed that PSI class IV or V had a sensitivity of 75% and specificity 40% for requiring ICU intervention or admission, which are not sufficient to guide disposition decisions.61

CURB-65

One of the criticisms of PSI included its complexity, with inclusion of 20 factors making it impractical for use as a bedside tool. The CURB-65 score was developed with a similar goal of identifying low-risk patients with pneumonia who would be candidates for outpatient management, but also patients at high risk for mortality or ICU admission. Criteria for severe pneumonia published by the British Thoracic Society include: respiratory rate ≥ 30 breaths/min, diastolic blood pressure ≤60 mmHg, and blood urea nitrogen >7 mmol/L. The presence of 2 criteria was 88% sensitive and 72% specific for mortality or ICU admission.62 The CURB-65 tool was based on these criteria, with the addition of age ≥65 years, which was found to be a separate independent predictor of mortality. Thus, the 5 criteria making up the score are as follows (1 point each, 0-5 total):

Confusion, meaning Mental Test Score ≤8, or disorientation to person, place, or time
Urea >7 mmol/L (>19.6 mg/dL)
Respiratory rate ≥ 30 breaths/minute
Blood pressure (systolic < 90 mmHg or diastolic ≤ 60 mmHg)
Age ≥ 65 years

 

 

A score of 0-1 of these criteria characterized low mortality risk (<1.5%) in the test group, a score of 2 was intermediate mortality risk (9.2%), and a score of 3 or more associated with high mortality risk (22%). A score ≥ 2 was 93% sensitive and 49% specific for 30-day mortality.63

A subsequent prospective validation study by Aujesky et al that included 3181 patients with community-acquired pneumonia demonstrated slightly higher mortality rates for each CURB-65 score (0.6%, 3%, 6.1%, 13%, 17%, 43% mortality in scores of 0-5, respectively).64 In particular, the 3% mortality rate in CURB-65 scores of 1 is similar to PSI class III mortality rates, suggesting a lower threshold (CURB-65 ≥1) for consideration of admission for management. Another validation study by Capelastegui et al showed similar mortality rates to the derivation study for specific CURB-65 scores, but noted 53% of patients with a score of 1 also were found to have characteristics that were independent for a poor prognosis, and should be considered in the decision for outpatient or inpatient treatment.65 Furthermore, a recent study found that of patients in the ED with a CURB-65 score of 1, 8% still required critical care intervention.66 Thus, use of CURB-65 in screening for low-risk patients with community-acquired pneumonia is recommended to be limited to scores of 0. However, as with PSI, validation studies have yet to show predictive utility of scores suggesting severe pneumonia (CURB-65 ≥3) in predicting mortality or ICU requirement.60,61

As validation studies have suggested only patients with a CURB-65 score of 0 are screened low risk enough for outpatient treatment, greater weight may be placed on utility of CRB-65 as a tool. This rule, initially proposed in the same study as CURB-65, omits blood urea nitrogen as a factor to only rely on history and physical exam data with a score of 0 indicating low risk.63 In initial derivation and validation studies, this rule demonstrated <1.6% mortality risk with a score of 0, with risk increasing to 4-8.6% in scores of 1.63,65 Multiple studies have compared CRB-65 and CURB-65, with only marginal but not statistically significant improvement in prognostic utility of CURB-65.65,67 A meta-analysis of 1648 patients even showed only 0.5% mortality risk in CRB-65 ≤1; potentially including CRB-65 0-1 as low risk, though, would require further study.68 Although multiple validation studies have also successfully stratified low risk to similar mortality risk (<1.6%), accuracy wanes with higher CRB-65 scores.69

Several studies have directly compared CURB-65 and PSI both in terms of identifying low-risk patients and stratifying disease severity.60,61,64,68,70-72 Multiple studies have shown similar mortality risk in low-risk populations and have demonstrated sensitivities for mortality greater than 96% for CURB-65/CRB-65 = 0 and PSI class I-III, albeit with specificities ranging from 18-65%.64,68,70 In stratifying patients into different levels of severity (ward vs ICU patients), PSI has shown slightly better sensitivity/specificity for mortality and/or ICU intervention, though neither is strong enough to significantly stratify severe pneumonia to serve as tools for directing inpatient management.60,61

Comment: PSI, CRB-65, and CURB-65 have been well validated as screening tools for low-risk patients who should be treated as outpatients (CURB-65 or CRB-65 = 0, PSI class I and II). A moderate-risk population (CURB-65 = 1 or 2, PSI class III) may benefit from treatment as inpatient or outpatient at clinician judgement. Use of these tools for determining disease severity and possible ICU requirement is not as reliable, and other clinical factors should be considered.

Conclusion

This article provides an overview of several common clinical decision instruments and the evidence behind them. Ultimately, many institutions have incorporated clinical decision rules directly into the electronic medical record, and this strategy will not only increase their use, but hopefully collect further data on whether the instruments truly perform better than unstructured clinical judgement.

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72. Kolditz M, Braeken D, Ewig S, Rohde G. Severity assessment and the immediate and long-term prognosis in community-acquired pneumonia. Semin Respir Crit Care Med. 2016;37(6):886-896. doi:http://dx.doi.org/10.1055/s-0036-1592127.

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3. Perry JJ, Stiell IG, Sivilotti ML, et al. Sensitivity of computed tomography performed within six hours of onset of headache for diagnosis of subarachnoid haemorrhage: prospective cohort study. BMJ. 2011;343:d4277.

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25. Scirica BM, Cannon CP, Antman EM, et al. Validation of the Thrombolysis In Myocardial Infarction (TIMI) risk score for unstable angina pectoris and non-ST-elevation myocardial infarction in the TIMI III registry. Am J Cardiol. 2002;90:303-305.

26. Morrow DA, Antman EM, Snapinn SM, McCabe CH, Theroux P, Braunwald E. An integrated clinical approach to predicting the benefit of tirofiban in non-ST elevation acute coronary syndromes. Eur Heart J. 2002;23:223-229.

27. Pollack CV, Sites FD, Shofer FS, Sease KL, Hollander JE. Application of the TIMI risk score for unstable angina and non–ST-elevation acute coronary syndrome to an unselected emergency department chest pain population. Acad Emerg Med. 2006:13(1):13-18.

28. Chase M, Robey JL, Zogby KE, Sease KL, Shofer FS, Hollander JE. Prospective validation of the Thrombolysis in Myocardial Infarction risk score in the emergency department chest pain population. Ann Emerg Med. 2006;48(3):252-259.

29. Body R, Carley S, McDowell G, Ferguson J, Mackway-Jones K. Can a modified thrombolysis in myocardial infarction risk score outperform the original for risk stratifying emergency department patients with chest pain? Emerg Med J. 2009;26:95-99.

30. Hess EP, Perry JJ, Calder LA, et al. Prospective validation of a modified Thrombolysis In Myocardial Infarction risk score in emergency department patients with chest pain and possible acute coronary syndrome. Acad Emerg Med. 2010;17(4):368-375.

31. Macdonald SPJ, Nagree Y, Fatovich DM, ad Brown SGA. Modified TIMI risk score cannot be used to identify low-risk chest pain in the emergency department: a multicenter validation study. Emerg Med J. 2014;31:281-285.

32. Hess EP, Agarwal D, Chandra S, et al. Diagnostic accuracy of the TIMI risk score in patients with chest pain in the emergency department: a meta-analysis. CMAJ. 2010;182(10):1039-1044.

33. Than, M, Cullen L, Aldous S, et al. 2-Hour accelerated diagnostic protocol to assess patients with chest pain symptoms using contemporary troponins as the only biomarker: the ADAPT trial. JACC. 2012;59(23):2091-2098.

34. Carlton EW, Khattab A, Greaves K. Identifying patients suitable for discharge after a single-presentation high-sensitivity Troponin result: a comparison of five established risk scores and two high-sensitivity assays. Ann Emerg Med. 2015;66(6):635-645.

35. Poldervaart JM, Langedijk M, Backus BE, et al. Comparison of the GRACE, HEART and TIMI score to predict major adverse cardiac events in chest pain patients at the emergency department. Int J Cardiol. 2017;227:656-661.

36. Nieuwets A, Poldervaart JM, Reitsma JB, et al. Medical consumption compared for TIMI and HEART score in chest pain patients at the emergency department: a retrospective cost analysis. BMJ Open. 2016;6:e010694.

37. Wells PS, Ginsberg JS, Anderson DR, et al. Use of a clinical model for safe management of patients with suspected pulmonary embolism. Ann Intern Med. 1998;129:997-1005.

38. Wells PS, Anderson DR, Rodger M, et al. Derivation of a simple clinical model to categorize patients’ probability of pulmonary embolism: increasing the model’s utility with the SimpliRED D-dimer. Thromb Haemost. 2000;83(3):416-420.

39. Wells PS, Anderson DR, Rodger M, et al. Excluding pulmonary embolism at the bedside without diagnostic imaging: management of patients with suspected pulmonary embolism presenting to the emergency department by using a simple clinical model and D-dimer. Ann Intern Med. 2001;135:98-107.

40. Wolf SJ, McCubbin TR, Feldhaus KM, Faragher JP, Adcock DM. Prospective validation of Wells’ criteria in the evaluation of patients with suspected pulmonary embolism. Ann Emerg Med. 2004;44:503-510.

41. Chagnon I, Bounameaux H, Aujesky D, et al. Comparison of two clinical prediction rules and implicit assessment among patients with suspected pulmonary embolism. Am J Med. 2002;113:269-275.

42. Christopher Study Investigators. Effectiveness of managing suspected pulmonary embolism using an algorithm combining clinical probability, D-dimer testing, and computed tomography. JAMA. 2006;295:172-179.

43. Kline JA, Mitchell AM, Kabrhel C, Richman PB, Courtney DM. Clinical criteria to prevent unnecessary diagnostic testing in emergency department patients with suspected pulmonary embolism. J Thromb Haemost. 2004;2:1247-1255.

44. Kline JA, Courtney DM, Kabrhel C, et al. Propsective multicenter evaluation of the pulmonary embolism rule-out criteria. J Thromb Haemost. 2008;6:772-780.

45. Penaloza A, Soulie C, Moumneh T, et al. Pulmonary embolism rule-out criteria (PERC) rule in European patients with low implicit clinical probability (PERCEPIC): a multicenter, prospective, observational study. Lancet Haematol. 2017;4:e615-e621.

46. Freund Y, Cachanado M, Aubry A, et al. Effect of the Pulmonary Embolism Rule-Out Criteria on subsequent thromboembolic events among low-risk emergency department patients. The PROPER randomized clinical trial. JAMA. 2018;319(6):559-566.

47. Hugli O, Righini M, Le Gal G, et al. The pulmonary embolism rule-out criteria (PERC) rule does not safely exclude pulmonary embolism. J Thromb Haemost. 2011;9:300-4.

48. Theunissen JMG, Scholing C, van Hasselt WE, van der Maten J, ter Avest E. A retrospective analysis of the combined use of PERC rule and Wells score to exclude pulmonary embolism in the Emergency Department. Emerg Med J. 2016;33:696-701.

49. Singh B, Parsaik AK, Aharwal D, Surana A, Mascarenhas SS, Chandra S. Diagnostic accuracy of Pulmonary Embolism Rule-Out Criteria: a systematic review and meta-analysis. Ann Emerg Med. 2012;59(6):517-520.

50. Shapiro NI, Wolfe RE, Moore RB, Smith E, Burdick E, Bates DW. Mortality in Emergency Department Sepsis (MEDS) score: a prospectively derived and validated clinical prediction rule. Crit Care Med. 2003;31(3):670-675.

51. Shapiro NI, Howell MD, Talmor D, Donnino M, Ngo L, Bates DW. Mortality in Emergency Department Sepsis (MEDS) score predicts 1-year mortality. Crit Care Med. 2007;35(1):192-198.

52. Sankoff JD, Goyal M, Gaieski DF, et al. Validation of the Mortality in Emergency Department Sepsis (MEDS) score in patients with the systemic inflammatory response syndrome (SIRS). Crit Care Med. 2008;36(2):421-26.

53. Jones AE, Saak K, Kline JA. Performance of the Mortality in Emergency Department Sepsis score for predicting hospital mortality among patients with severe sepsis and septic shock. Am J Emerg Med. 2008;26(6):689-692.

54. Carpenter CR., Keim SM, Upadhye S, Nguyen HB. Risk stratification of the potentially septic patient in the emergency department: the Mortality in the Emergency Department Sepsis (MEDS) score. J Emerg Med. 2009;37(3):319-327.

55. Hermans MAW, Leffers P, Jansen LM, Keulemans YC, Stassen PM. The value of the Mortality in Emergency Department Sepsis (MEDS) score, C reactive protein and lactate in predicting 28-day mortality of sepsis in a Dutch emergency department. Emerg Med J. 2012;29(4):295–300.

56. Fine MJ, Auble TE, Yealy DM, et al. A Prediction Rule to Identify Low-Risk Patients with Community Acquired Pneumonia. N Engl J Med. 1997;326(4):243-250.

57. Marrie TJ, Lau CY, Wheeler SL, et al. A controlled trial of a critical pathway for treatment of community-acquired pneumonia. JAMA. 2000;283(6):749-755. doi:10.1001/jama.283.6.749.

58. Carratalà J, Fernandez-Sabe N. Outpatient care compared with hospitalization for community-acquired pneumonia: a randomized trial in low-risk patients . Ann Intern Med. 2005;142:165-172. doi:10.7326/0003-4819-142-3-200502010-00006.

59. Chalmers JD, Akram AR, Hill AT. Increasing outpatient treatment of mild community-acquired pneumonia: Systematic review and meta-analysis. Eur Respir J. 2011;37(4):858-864. doi:10.1183/09031936.00065610.

60. Loke YK, Kwok CS, Niruban A, Myint PK. Value of severity scales in predicting mortality from community-acquired pneumonia: systematic review and meta-analysis. Thorax. 2010;65(10):884-890. doi:10.1136/thx.2009.134072.

61. Marti C, Garin N, Grosgurin O, et al. Prediction of severe community-acquired pneumonia: A systematic review and meta-analysis. Crit Care. 2012;16(4):R141. doi:10.1186/cc11447.

62. Neill AM, Martin IR, Weir R, et al. Community-acquired pneumonia: aetiology and usefulness of severity criteria on admission. Thorax. 1996;51(10):1010-1016. doi:10.1136/thx.51.10.1010.

63. Lim WS, Van Der Eerden MM, Laing R, et al. Defining community acquired pneumonia severity on presentation to hospital: An international derivation and validation study. Thorax. 2003;58(5):377-382. doi:10.1136/thorax.58.5.377.

64. Aujesky D, Auble TE, Yealy DM, et al. Prospective comparison of three validated prediction rules for prognosis in community-acquired pneumonia. Am J Med. 2005;118(4):384-392. doi:10.1016/j.amjmed.2005.01.006.

65. Capelastegui A, España PP, Quintana JM, et al. Validation of a predictive rule for the management of community-acquired pneumonia. Eur Respir J. 2006;27(1):151-157. doi:10.1183/09031936.06.00062505.

66. Ilg A, Moskowitz A, Konanki V, et al. Performance of the CURB-65 score in predicting critical care interventions in patients admitted with community-acquired pneumonia. Ann Emerg Med. 2018. doi:10.1016/j.annemergmed.2018.06.017.

67. Bauer TT, Ewig S, Marre R, Suttorp N, Welte T. CRB-65 predicts death from community-acquired pneumonia. J Intern Med. 2006;260(1):93-101. doi:10.1111/j.1365-2796.2006.01657.x.

68. Akram AR, Chalmers JD, Hill AT. Predicting mortality with severity assessment tools in out-patients with community-acquired pneumonia. QJM. 2011;104(10):871-879. doi:10.1093/qjmed/hcr088.

69. McNally M, Curtain J, O’Brien KK, Dimitrov BD, Fahey T. Validity of British Thoracic Society guidance (the CRB-65 rule) for predicting the severity of pneumonia in general practice: Systematic review and meta-analysis. Br J Gen Pract. 2010;60(579):423-433. doi:10.3399/bjgp10X532422.

70. Shah BA, Ahmed W, Dhobi GN, Shah NN, Khursheed SQ, Haq I. Validity of Pneumonia Severity Index and CURB-65 severity scoring systems in community acquired pneumonia in an Indian Setting. Indian J Chest Dis Allied Sci. 2010;52(1):9-17.

71. Noguchi S, Yatera K, Kawanami T, et al. Pneumonia severity assessment tools for predicting mortality in patients with cealthcare-associated pneumonia: a systematic review and meta-analysis. Respiration. 2017;93(6):441-450. doi:10.1159/000470915.

72. Kolditz M, Braeken D, Ewig S, Rohde G. Severity assessment and the immediate and long-term prognosis in community-acquired pneumonia. Semin Respir Crit Care Med. 2016;37(6):886-896. doi:http://dx.doi.org/10.1055/s-0036-1592127.

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Hippocampal abnormalities seen in epilepsy subtypes may be congenital

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NEW ORLEANS – Abnormalities of hippocampal volume and morphology in children with temporal lobe or juvenile myoclonic epilepsy (JME) are also present in the brains of their unaffected siblings, although to a lesser extent, based on findings from two studies presented at the annual meeting of the American Epilepsy Society.

While the studies suggest an imaging endophenotype associated with these disorders, it’s unclear if a larger degree of abnormality causes disease manifestation, or whether there are other predisposing actors at work.

“What our study tells us is that hippocampal abnormalities can occur in the absence of seizure,” Marian Galovic, MD, said in an interview. “It may be that, in some cases, hippocampal abnormalities could be the cause, rather than the consequence, of seizures.”

Dr. Galovic of University College London was on hand to discuss the work of his colleague, Lili Long, MD, PhD, of the Xiangya Hospital of Central South University, Changsha, China. Visa issues prevented her from attending the meeting.

The study included 18 sibling pairs in which the affected siblings had sporadic, nonlesional temporal lobe epilepsy (TLE), involving the right lobe in 12 and the left in 6. The patients, siblings, and 18 healthy, age-matched controls underwent clinical, electrophysiologic, and high-resolution structural neuroimaging.

The researchers compared overall hippocampal volumes between groups and determined the subregional extent of hippocampal abnormalities using shape analysis. They also looked at whole-brain differences in cortical thickness and folding complexity.

As expected, median hippocampal volumes were largest in the healthy controls (left = 2.82 mL, right = 2.94 mL), and smallest in patients. Patients with left TLE had a median left hippocampal volume of 2.23 mL, while those with right TLE had a median right hippocampal volume of 1.92 mL.

However, volume in the unaffected siblings was a surprise. Like the patients, these subjects also had significant reductions in hippocampal volume when compared with controls (left = 2.47 mL, right = 2.65 mL). “The atrophy was relatively similar in siblings and patients, although not as pronounced in siblings,” Dr. Galovic said. “It was mostly unilateral in the siblings and bilateral in the patients, but it was still more pronounced on the side where the epilepsy of the affected sibling was coming from.”

Dr. Marian Galovic
The hippocampi of patients with TLE and their nonaffected siblings show similar morphology and reductions in volume.


Patients and siblings also shared morphologic variations of the hippocampus, with atrophy more pronounced on the right than the left. The right lateral body and anterior head of the hippocampus were most affected, Dr. Galovic said, with reductions in the right cornu ammonis 1 subfield and subiculum.

Widespread cortical thinning was present in patients, including the pericentral, frontal, and temporal areas. Unaffected siblings also showed cortical thinning, but this was mostly restricted to the right postcentral gyrus. Patients and siblings also demonstrated increased cortical folding complexity, but in different areas: predominantly frontal in patients, but predominantly parieto-occipital in siblings. Both were significantly different than healthy control subjects.
Dr. Marian Galovic
Patients with TLE and their unaffected siblings show similarities in cortical thinning and folding.


The study didn’t examine any association with memory, which is often impaired in patients with TLE. However, Dr. Galovic said, “We have just submitted for publication a study in which we did find an association between focal hippocampal atrophy and memory performance.”

A different study by a team at University College London looked at hippocampal structure and function in patients with juvenile myoclonic epilepsy (JME) and their unaffected siblings. The imaging study, lead by Lorenzo Caciagli, MD, of the university comprised 37 patients with JME, 16 unaffected siblings, and 20 healthy controls. It employed multimodal MRI and neuropsychological measures to examine the form and function of the mesiotemporal lobe.

The subjects were matched for age, sex, handedness, and hemispheric dominance, which was assessed with language lateralization indices. This measures the number of active voxels on functional MRI, showing which hemisphere is dominant for language.

Both patients and their siblings showed reductions in left hippocampal volume on the order of 5%-8%, significantly smaller than the volumes seen in healthy controls. About half of patients and half of siblings also showed either unilateral or bilateral hippocampal malrotation. This was present in just 15% of controls, another significant difference. The structural differences weren’t associated with seizure control or age at disease onset, or with any impairments in verbal or visual memory. But when the investigators performed functional mapping, they found unusual patterns of hippocampal activation in both patients and siblings, pointing to a dysfunction of verbal encoding. In patients, there appeared to be distinct patterns of underactivation along the hippocampal long axis, regardless of whether malrotation was present. But among patients who had malrotation, the left posterior hippocampus showed more activation during visual memory.

The team concluded that the hippocampal abnormalities in volume, shape, and positioning in patients with JME and their siblings are related to functional reorganization. The abnormalities probably occur during prenatal neurodevelopment, they noted.

“Cosegregation of imaging patterns in patients and their siblings is suggestive of genetic imaging phenotypes, and independent of disease activity,” Dr. Caciagli and his coinvestigators wrote in their abstract.

Funding for the TLE study came from the National Natural Science Foundation of China, the Ministry of Science and Technology of China, and Xiangya Hospital. Funding for the JME study came from a variety of U.K. charities and government agencies.
 

SOURCES: Long L et al. AES 2018, Abstract 2.183; Caciagli L et al. AES 2018, Abstract 2.166.

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NEW ORLEANS – Abnormalities of hippocampal volume and morphology in children with temporal lobe or juvenile myoclonic epilepsy (JME) are also present in the brains of their unaffected siblings, although to a lesser extent, based on findings from two studies presented at the annual meeting of the American Epilepsy Society.

While the studies suggest an imaging endophenotype associated with these disorders, it’s unclear if a larger degree of abnormality causes disease manifestation, or whether there are other predisposing actors at work.

“What our study tells us is that hippocampal abnormalities can occur in the absence of seizure,” Marian Galovic, MD, said in an interview. “It may be that, in some cases, hippocampal abnormalities could be the cause, rather than the consequence, of seizures.”

Dr. Galovic of University College London was on hand to discuss the work of his colleague, Lili Long, MD, PhD, of the Xiangya Hospital of Central South University, Changsha, China. Visa issues prevented her from attending the meeting.

The study included 18 sibling pairs in which the affected siblings had sporadic, nonlesional temporal lobe epilepsy (TLE), involving the right lobe in 12 and the left in 6. The patients, siblings, and 18 healthy, age-matched controls underwent clinical, electrophysiologic, and high-resolution structural neuroimaging.

The researchers compared overall hippocampal volumes between groups and determined the subregional extent of hippocampal abnormalities using shape analysis. They also looked at whole-brain differences in cortical thickness and folding complexity.

As expected, median hippocampal volumes were largest in the healthy controls (left = 2.82 mL, right = 2.94 mL), and smallest in patients. Patients with left TLE had a median left hippocampal volume of 2.23 mL, while those with right TLE had a median right hippocampal volume of 1.92 mL.

However, volume in the unaffected siblings was a surprise. Like the patients, these subjects also had significant reductions in hippocampal volume when compared with controls (left = 2.47 mL, right = 2.65 mL). “The atrophy was relatively similar in siblings and patients, although not as pronounced in siblings,” Dr. Galovic said. “It was mostly unilateral in the siblings and bilateral in the patients, but it was still more pronounced on the side where the epilepsy of the affected sibling was coming from.”

Dr. Marian Galovic
The hippocampi of patients with TLE and their nonaffected siblings show similar morphology and reductions in volume.


Patients and siblings also shared morphologic variations of the hippocampus, with atrophy more pronounced on the right than the left. The right lateral body and anterior head of the hippocampus were most affected, Dr. Galovic said, with reductions in the right cornu ammonis 1 subfield and subiculum.

Widespread cortical thinning was present in patients, including the pericentral, frontal, and temporal areas. Unaffected siblings also showed cortical thinning, but this was mostly restricted to the right postcentral gyrus. Patients and siblings also demonstrated increased cortical folding complexity, but in different areas: predominantly frontal in patients, but predominantly parieto-occipital in siblings. Both were significantly different than healthy control subjects.
Dr. Marian Galovic
Patients with TLE and their unaffected siblings show similarities in cortical thinning and folding.


The study didn’t examine any association with memory, which is often impaired in patients with TLE. However, Dr. Galovic said, “We have just submitted for publication a study in which we did find an association between focal hippocampal atrophy and memory performance.”

A different study by a team at University College London looked at hippocampal structure and function in patients with juvenile myoclonic epilepsy (JME) and their unaffected siblings. The imaging study, lead by Lorenzo Caciagli, MD, of the university comprised 37 patients with JME, 16 unaffected siblings, and 20 healthy controls. It employed multimodal MRI and neuropsychological measures to examine the form and function of the mesiotemporal lobe.

The subjects were matched for age, sex, handedness, and hemispheric dominance, which was assessed with language lateralization indices. This measures the number of active voxels on functional MRI, showing which hemisphere is dominant for language.

Both patients and their siblings showed reductions in left hippocampal volume on the order of 5%-8%, significantly smaller than the volumes seen in healthy controls. About half of patients and half of siblings also showed either unilateral or bilateral hippocampal malrotation. This was present in just 15% of controls, another significant difference. The structural differences weren’t associated with seizure control or age at disease onset, or with any impairments in verbal or visual memory. But when the investigators performed functional mapping, they found unusual patterns of hippocampal activation in both patients and siblings, pointing to a dysfunction of verbal encoding. In patients, there appeared to be distinct patterns of underactivation along the hippocampal long axis, regardless of whether malrotation was present. But among patients who had malrotation, the left posterior hippocampus showed more activation during visual memory.

The team concluded that the hippocampal abnormalities in volume, shape, and positioning in patients with JME and their siblings are related to functional reorganization. The abnormalities probably occur during prenatal neurodevelopment, they noted.

“Cosegregation of imaging patterns in patients and their siblings is suggestive of genetic imaging phenotypes, and independent of disease activity,” Dr. Caciagli and his coinvestigators wrote in their abstract.

Funding for the TLE study came from the National Natural Science Foundation of China, the Ministry of Science and Technology of China, and Xiangya Hospital. Funding for the JME study came from a variety of U.K. charities and government agencies.
 

SOURCES: Long L et al. AES 2018, Abstract 2.183; Caciagli L et al. AES 2018, Abstract 2.166.

NEW ORLEANS – Abnormalities of hippocampal volume and morphology in children with temporal lobe or juvenile myoclonic epilepsy (JME) are also present in the brains of their unaffected siblings, although to a lesser extent, based on findings from two studies presented at the annual meeting of the American Epilepsy Society.

While the studies suggest an imaging endophenotype associated with these disorders, it’s unclear if a larger degree of abnormality causes disease manifestation, or whether there are other predisposing actors at work.

“What our study tells us is that hippocampal abnormalities can occur in the absence of seizure,” Marian Galovic, MD, said in an interview. “It may be that, in some cases, hippocampal abnormalities could be the cause, rather than the consequence, of seizures.”

Dr. Galovic of University College London was on hand to discuss the work of his colleague, Lili Long, MD, PhD, of the Xiangya Hospital of Central South University, Changsha, China. Visa issues prevented her from attending the meeting.

The study included 18 sibling pairs in which the affected siblings had sporadic, nonlesional temporal lobe epilepsy (TLE), involving the right lobe in 12 and the left in 6. The patients, siblings, and 18 healthy, age-matched controls underwent clinical, electrophysiologic, and high-resolution structural neuroimaging.

The researchers compared overall hippocampal volumes between groups and determined the subregional extent of hippocampal abnormalities using shape analysis. They also looked at whole-brain differences in cortical thickness and folding complexity.

As expected, median hippocampal volumes were largest in the healthy controls (left = 2.82 mL, right = 2.94 mL), and smallest in patients. Patients with left TLE had a median left hippocampal volume of 2.23 mL, while those with right TLE had a median right hippocampal volume of 1.92 mL.

However, volume in the unaffected siblings was a surprise. Like the patients, these subjects also had significant reductions in hippocampal volume when compared with controls (left = 2.47 mL, right = 2.65 mL). “The atrophy was relatively similar in siblings and patients, although not as pronounced in siblings,” Dr. Galovic said. “It was mostly unilateral in the siblings and bilateral in the patients, but it was still more pronounced on the side where the epilepsy of the affected sibling was coming from.”

Dr. Marian Galovic
The hippocampi of patients with TLE and their nonaffected siblings show similar morphology and reductions in volume.


Patients and siblings also shared morphologic variations of the hippocampus, with atrophy more pronounced on the right than the left. The right lateral body and anterior head of the hippocampus were most affected, Dr. Galovic said, with reductions in the right cornu ammonis 1 subfield and subiculum.

Widespread cortical thinning was present in patients, including the pericentral, frontal, and temporal areas. Unaffected siblings also showed cortical thinning, but this was mostly restricted to the right postcentral gyrus. Patients and siblings also demonstrated increased cortical folding complexity, but in different areas: predominantly frontal in patients, but predominantly parieto-occipital in siblings. Both were significantly different than healthy control subjects.
Dr. Marian Galovic
Patients with TLE and their unaffected siblings show similarities in cortical thinning and folding.


The study didn’t examine any association with memory, which is often impaired in patients with TLE. However, Dr. Galovic said, “We have just submitted for publication a study in which we did find an association between focal hippocampal atrophy and memory performance.”

A different study by a team at University College London looked at hippocampal structure and function in patients with juvenile myoclonic epilepsy (JME) and their unaffected siblings. The imaging study, lead by Lorenzo Caciagli, MD, of the university comprised 37 patients with JME, 16 unaffected siblings, and 20 healthy controls. It employed multimodal MRI and neuropsychological measures to examine the form and function of the mesiotemporal lobe.

The subjects were matched for age, sex, handedness, and hemispheric dominance, which was assessed with language lateralization indices. This measures the number of active voxels on functional MRI, showing which hemisphere is dominant for language.

Both patients and their siblings showed reductions in left hippocampal volume on the order of 5%-8%, significantly smaller than the volumes seen in healthy controls. About half of patients and half of siblings also showed either unilateral or bilateral hippocampal malrotation. This was present in just 15% of controls, another significant difference. The structural differences weren’t associated with seizure control or age at disease onset, or with any impairments in verbal or visual memory. But when the investigators performed functional mapping, they found unusual patterns of hippocampal activation in both patients and siblings, pointing to a dysfunction of verbal encoding. In patients, there appeared to be distinct patterns of underactivation along the hippocampal long axis, regardless of whether malrotation was present. But among patients who had malrotation, the left posterior hippocampus showed more activation during visual memory.

The team concluded that the hippocampal abnormalities in volume, shape, and positioning in patients with JME and their siblings are related to functional reorganization. The abnormalities probably occur during prenatal neurodevelopment, they noted.

“Cosegregation of imaging patterns in patients and their siblings is suggestive of genetic imaging phenotypes, and independent of disease activity,” Dr. Caciagli and his coinvestigators wrote in their abstract.

Funding for the TLE study came from the National Natural Science Foundation of China, the Ministry of Science and Technology of China, and Xiangya Hospital. Funding for the JME study came from a variety of U.K. charities and government agencies.
 

SOURCES: Long L et al. AES 2018, Abstract 2.183; Caciagli L et al. AES 2018, Abstract 2.166.

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REPORTING FROM AES 2018

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How does CBD compare and interact with other AEDs?

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The efficacy and side effects of cannabidiol (CBD) in severe pediatric epilepsies are similar to those of other antiepileptic drugs (AEDs), according to a review published in Developmental Medicine & Child Neurology. “Careful down-titration of benzodiazepines is essential to minimize sedation with adjunctive CBD,” the authors said.

Although CBD’s antiepileptic mechanisms “are not fully elucidated, it is clear that administration of CBD as adjunct therapy decreases seizure frequency in patients with Dravet syndrome and Lennox-Gastaut syndrome,” wrote Shayma Ali, a doctoral student in the department of pediatrics and child health at the University of Otago in Wellington, New Zealand, and her colleagues. “Contrary to public expectation of miraculous results, CBD has a similar antiepileptic and side effect profile to other AEDs. Nevertheless, as individual children with these developmental and epileptic encephalopathies are often refractory to available AEDs, the addition of another potentially effective therapeutic medicine will be warmly welcomed by families and physicians.”

The FDA approved Epidiolex, a pharmaceutical-grade oral solution that is 98% CBD, in June of 2018. In September of 2018, the Drug Enforcement Administration classified it as a Schedule V controlled substance. Patients’ use of nonpharmaceutical grade CBD products, including those combined with tetrahydrocannabinol (THC), “raises concerns about the use of products with THC on the developing brain,” the review authors said.
 

Randomized trials

Three randomized, controlled, double-blind trials in patients with Dravet syndrome and Lennox-Gastaut syndrome found that CBD, compared with placebo, results in greater median seizure reductions (38%-41% vs. 13%-19%) and responder rates (i.e., the proportion of patients with 50% reductions in convulsive or drop seizures; 39%-46% vs. 14%-27%).

Common adverse effects include somnolence, diarrhea, decreased appetite, fatigue, lethargy, pyrexia, and vomiting. Hepatic transaminases became elevated in some patients, and this result occurred more often in patients taking valproate.

No phase 2 or phase 3 trials have assessed the efficacy of CBD without coadministration of other AEDs, and CBD’s efficacy may relate to its impact on the pharmacokinetics of coadministered AEDs. “The most important clinical interaction is between CBD and clobazam, as [the dose of] clobazam often needs to be lowered because of excessive sedation,” wrote Ms. Ali and her colleagues. CBD inhibits CYP2C19 and CYP3A4 – enzymes that are involved in clobazam metabolism – which results in high plasma concentrations of clobazam’s active metabolite, norclobazam. Plasma levels of topiramate, rufinamide, zonisamide, and eslicarbazepine also may increase when these drugs are taken with CBD.
 

Challenges and opportunities

Of the hundreds of compounds in the marijuana plant, CBD “has the most evidence of antiepileptic efficacy and does not have the psychoactive effects” of THC, the authors said. Little evidence supports the combination of THC and CBD for the treatment of epilepsy. In addition, research indicates that THC can have a proconvulsive effect in animal models and harm the development of the human brain.

Investigators are evaluating alternative routes of CBD delivery to avoid first-pass metabolism, such as oromucosal sprays, transdermal gels, eye drops, intranasal sprays, and rectal suppositories. “Alternative methods of administration ... deserve consideration, particularly for the developmental and epileptic encephalopathies population, as administration of oral medication can be challenging,” they said.

SOURCE: Ali S et al. Dev Med Child Neurol. 2018. doi: 10.1111/dmcn.14087.

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The efficacy and side effects of cannabidiol (CBD) in severe pediatric epilepsies are similar to those of other antiepileptic drugs (AEDs), according to a review published in Developmental Medicine & Child Neurology. “Careful down-titration of benzodiazepines is essential to minimize sedation with adjunctive CBD,” the authors said.

Although CBD’s antiepileptic mechanisms “are not fully elucidated, it is clear that administration of CBD as adjunct therapy decreases seizure frequency in patients with Dravet syndrome and Lennox-Gastaut syndrome,” wrote Shayma Ali, a doctoral student in the department of pediatrics and child health at the University of Otago in Wellington, New Zealand, and her colleagues. “Contrary to public expectation of miraculous results, CBD has a similar antiepileptic and side effect profile to other AEDs. Nevertheless, as individual children with these developmental and epileptic encephalopathies are often refractory to available AEDs, the addition of another potentially effective therapeutic medicine will be warmly welcomed by families and physicians.”

The FDA approved Epidiolex, a pharmaceutical-grade oral solution that is 98% CBD, in June of 2018. In September of 2018, the Drug Enforcement Administration classified it as a Schedule V controlled substance. Patients’ use of nonpharmaceutical grade CBD products, including those combined with tetrahydrocannabinol (THC), “raises concerns about the use of products with THC on the developing brain,” the review authors said.
 

Randomized trials

Three randomized, controlled, double-blind trials in patients with Dravet syndrome and Lennox-Gastaut syndrome found that CBD, compared with placebo, results in greater median seizure reductions (38%-41% vs. 13%-19%) and responder rates (i.e., the proportion of patients with 50% reductions in convulsive or drop seizures; 39%-46% vs. 14%-27%).

Common adverse effects include somnolence, diarrhea, decreased appetite, fatigue, lethargy, pyrexia, and vomiting. Hepatic transaminases became elevated in some patients, and this result occurred more often in patients taking valproate.

No phase 2 or phase 3 trials have assessed the efficacy of CBD without coadministration of other AEDs, and CBD’s efficacy may relate to its impact on the pharmacokinetics of coadministered AEDs. “The most important clinical interaction is between CBD and clobazam, as [the dose of] clobazam often needs to be lowered because of excessive sedation,” wrote Ms. Ali and her colleagues. CBD inhibits CYP2C19 and CYP3A4 – enzymes that are involved in clobazam metabolism – which results in high plasma concentrations of clobazam’s active metabolite, norclobazam. Plasma levels of topiramate, rufinamide, zonisamide, and eslicarbazepine also may increase when these drugs are taken with CBD.
 

Challenges and opportunities

Of the hundreds of compounds in the marijuana plant, CBD “has the most evidence of antiepileptic efficacy and does not have the psychoactive effects” of THC, the authors said. Little evidence supports the combination of THC and CBD for the treatment of epilepsy. In addition, research indicates that THC can have a proconvulsive effect in animal models and harm the development of the human brain.

Investigators are evaluating alternative routes of CBD delivery to avoid first-pass metabolism, such as oromucosal sprays, transdermal gels, eye drops, intranasal sprays, and rectal suppositories. “Alternative methods of administration ... deserve consideration, particularly for the developmental and epileptic encephalopathies population, as administration of oral medication can be challenging,” they said.

SOURCE: Ali S et al. Dev Med Child Neurol. 2018. doi: 10.1111/dmcn.14087.

The efficacy and side effects of cannabidiol (CBD) in severe pediatric epilepsies are similar to those of other antiepileptic drugs (AEDs), according to a review published in Developmental Medicine & Child Neurology. “Careful down-titration of benzodiazepines is essential to minimize sedation with adjunctive CBD,” the authors said.

Although CBD’s antiepileptic mechanisms “are not fully elucidated, it is clear that administration of CBD as adjunct therapy decreases seizure frequency in patients with Dravet syndrome and Lennox-Gastaut syndrome,” wrote Shayma Ali, a doctoral student in the department of pediatrics and child health at the University of Otago in Wellington, New Zealand, and her colleagues. “Contrary to public expectation of miraculous results, CBD has a similar antiepileptic and side effect profile to other AEDs. Nevertheless, as individual children with these developmental and epileptic encephalopathies are often refractory to available AEDs, the addition of another potentially effective therapeutic medicine will be warmly welcomed by families and physicians.”

The FDA approved Epidiolex, a pharmaceutical-grade oral solution that is 98% CBD, in June of 2018. In September of 2018, the Drug Enforcement Administration classified it as a Schedule V controlled substance. Patients’ use of nonpharmaceutical grade CBD products, including those combined with tetrahydrocannabinol (THC), “raises concerns about the use of products with THC on the developing brain,” the review authors said.
 

Randomized trials

Three randomized, controlled, double-blind trials in patients with Dravet syndrome and Lennox-Gastaut syndrome found that CBD, compared with placebo, results in greater median seizure reductions (38%-41% vs. 13%-19%) and responder rates (i.e., the proportion of patients with 50% reductions in convulsive or drop seizures; 39%-46% vs. 14%-27%).

Common adverse effects include somnolence, diarrhea, decreased appetite, fatigue, lethargy, pyrexia, and vomiting. Hepatic transaminases became elevated in some patients, and this result occurred more often in patients taking valproate.

No phase 2 or phase 3 trials have assessed the efficacy of CBD without coadministration of other AEDs, and CBD’s efficacy may relate to its impact on the pharmacokinetics of coadministered AEDs. “The most important clinical interaction is between CBD and clobazam, as [the dose of] clobazam often needs to be lowered because of excessive sedation,” wrote Ms. Ali and her colleagues. CBD inhibits CYP2C19 and CYP3A4 – enzymes that are involved in clobazam metabolism – which results in high plasma concentrations of clobazam’s active metabolite, norclobazam. Plasma levels of topiramate, rufinamide, zonisamide, and eslicarbazepine also may increase when these drugs are taken with CBD.
 

Challenges and opportunities

Of the hundreds of compounds in the marijuana plant, CBD “has the most evidence of antiepileptic efficacy and does not have the psychoactive effects” of THC, the authors said. Little evidence supports the combination of THC and CBD for the treatment of epilepsy. In addition, research indicates that THC can have a proconvulsive effect in animal models and harm the development of the human brain.

Investigators are evaluating alternative routes of CBD delivery to avoid first-pass metabolism, such as oromucosal sprays, transdermal gels, eye drops, intranasal sprays, and rectal suppositories. “Alternative methods of administration ... deserve consideration, particularly for the developmental and epileptic encephalopathies population, as administration of oral medication can be challenging,” they said.

SOURCE: Ali S et al. Dev Med Child Neurol. 2018. doi: 10.1111/dmcn.14087.

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FROM DEVELOPMENTAL MEDICINE & CHILD NEUROLOGY

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Key clinical point: Cannabidiol’s efficacy is similar to that of other antiepileptic drugs.

Major finding: Cannabidiol inhibits CYP2C19 and CYP3A4, which are involved in clobazam metabolism.

Study details: An invited review.

Disclosures: No disclosures were reported.

Source: Ali S et al. Dev Med Child Neurol. 2018. doi: 10.1111/dmcn.14087.

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Insulin loses its starting spot

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New diabetes guidelines downgrade insulin as first-line injectable treatment, fewer migraines in women are linked to increased type 2 diabetes risk, the U.S. Preventive Services Task Force looks to prevent opioid abuse in primary care, and there’s an uncomfortable truth in new guidelines for posttraumatic stress disorder.

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New diabetes guidelines downgrade insulin as first-line injectable treatment, fewer migraines in women are linked to increased type 2 diabetes risk, the U.S. Preventive Services Task Force looks to prevent opioid abuse in primary care, and there’s an uncomfortable truth in new guidelines for posttraumatic stress disorder.

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New diabetes guidelines downgrade insulin as first-line injectable treatment, fewer migraines in women are linked to increased type 2 diabetes risk, the U.S. Preventive Services Task Force looks to prevent opioid abuse in primary care, and there’s an uncomfortable truth in new guidelines for posttraumatic stress disorder.

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Opioid benefit small in chronic noncancer pain

Opioids role very limited in noncancer pain
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Compared with placebo, opioids provide very modest improvements in chronic noncancer pain and physical functioning that decrease over time, according to the authors of a systematic review and meta-analysis of nearly 100 randomized clinical trials.

Dr. Lee Fleisher

There was little difference in pain control between opioids and nonopioid alternatives such as NSAIDs in a subset of nine such comparative trials, reported the authors, led by Jason W. Busse, DC, PhD, of the department of anesthesia at McMaster University, Hamilton, Ont.

Pain benefits of opioids decreased over time in longer trials, possibly because of opioid tolerance or hyperalgesia, a condition marked by hypersensitivity to pain. “A reduced association with benefit over time might lead to prescription of higher opioid doses and consequent harms,” Dr. Busse and his coauthors wrote in JAMA.

The meta-analysis included 96 randomized clinical trials including 26,169 patients with chronic noncancer pain.

Opioid treatment did significantly improve pain and physical function versus placebo, though the magnitude of benefit was small, according to the investigators. The reduction in pain was –0.69 cm on a 10-cm visual analog scale (P less than .001), based on high-quality evidence from 42 randomized, controlled trials that followed patients for at least 3 months.

The improvement in physical functioning was likewise significant but small at 2.04 out of 100 points on the SF-36 physical component score (P less than .001). Emotional and role functioning were not significantly improved by opioid use.

Opioid use was linked to increased vomiting incidence versus placebo, with a relative risk of 4.12 (95% CI, 3.34-5.07; P less than .001) for patients in “nonenrichment” trials – those studies that included all patients regardless of whether or not they reported lack of improvement or had substantial adverse events during a study run-in period.

Nausea, constipation, dizziness, drowsiness, pruritus, and dry mouth were also linked to opioid use as compared with placebo, Dr. Busse and his colleagues reported.

The benefit of opioids and nonopioid alternatives appeared to be similar in this meta-analysis, though the available evidence from comparative studies was of low to moderate quality, the authors advised.

In moderate-quality evidence from nine clinical trials of opioids versus NSAIDs including 1,431 patients, there was no difference in pain relief between the two interventions, the investigators said. Moreover, comparisons of physician functioning also suggested no difference, while opioids were associated with more vomiting.

Both tricyclic antidepressants and synthetic cannabinoids offered similar pain relief, compared with opioids, based on low-quality clinical trial evidence, they added, while moderate-quality evidence suggested opioids offered superior pain relief, compared with anticonvulsants.

Support for the study came from the Canadian Institutes of Health Research and Health Canada. One study coauthor reported receiving personal fees from Purdue Pharma and the Nova Scotia College of Physicians and Surgeons.

SOURCE: Busse JW et al. JAMA. 2018;320(23):2448-60.

Body

 

This meta-analysis suggests that most patients receiving opioids for chronic noncancer pain will not benefit from them, according to Michael A. Ashburn, MD, MPH, and Lee A. Fleisher, MD.

Dr. Lee A. Fleisher
It is time for physicians to redouble efforts to improve the process of care when prescribing opioids,” Dr. Ashburn and Dr. Fleisher wrote in an editorial commenting on the meta-analysis.

Outcomes of the study, which suggest opioids produce modest benefits over placebo in pain and physical functioning, and no difference in pain relief versus NSAIDs, are likely to represent the best case scenario, the authors wrote.

That’s because most trials excluded patients with substance use disorder and nearly half excluded patients with mental illness or those taking psychotropic medications, they explained.

In the clinical setting, many patients will have depression, anxiety, sleep-disordered breathing, and other conditions that could increase the potential risk of harm with opioids, according to the authors.

That said, when proper monitoring is incorporated into care, opioid treatment can be safe and effective for selected patients. “Diligent opioid prescribing to carefully selected patients will lower the risk of harm to patients, their families, and the community,” the authors wrote in their editorial.

Dr. Ashburn and Dr. Fleisher are with the department of anesthesiology and critical care at the University of Pennsylvania, Philadelphia. Their editorial appears in JAMA. Dr. Ashburn reported receiving personal fees from Teva, the Department of Justice, the Attorney General for the State of Maryland, the Department of State for the Commonwealth of Pennsylvania, the Montgomery County District Attorney, and the Carolinas Pain Society. He also reported several patents related to drug delivery systems and methods.
 

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Body

 

This meta-analysis suggests that most patients receiving opioids for chronic noncancer pain will not benefit from them, according to Michael A. Ashburn, MD, MPH, and Lee A. Fleisher, MD.

Dr. Lee A. Fleisher
It is time for physicians to redouble efforts to improve the process of care when prescribing opioids,” Dr. Ashburn and Dr. Fleisher wrote in an editorial commenting on the meta-analysis.

Outcomes of the study, which suggest opioids produce modest benefits over placebo in pain and physical functioning, and no difference in pain relief versus NSAIDs, are likely to represent the best case scenario, the authors wrote.

That’s because most trials excluded patients with substance use disorder and nearly half excluded patients with mental illness or those taking psychotropic medications, they explained.

In the clinical setting, many patients will have depression, anxiety, sleep-disordered breathing, and other conditions that could increase the potential risk of harm with opioids, according to the authors.

That said, when proper monitoring is incorporated into care, opioid treatment can be safe and effective for selected patients. “Diligent opioid prescribing to carefully selected patients will lower the risk of harm to patients, their families, and the community,” the authors wrote in their editorial.

Dr. Ashburn and Dr. Fleisher are with the department of anesthesiology and critical care at the University of Pennsylvania, Philadelphia. Their editorial appears in JAMA. Dr. Ashburn reported receiving personal fees from Teva, the Department of Justice, the Attorney General for the State of Maryland, the Department of State for the Commonwealth of Pennsylvania, the Montgomery County District Attorney, and the Carolinas Pain Society. He also reported several patents related to drug delivery systems and methods.
 

Body

 

This meta-analysis suggests that most patients receiving opioids for chronic noncancer pain will not benefit from them, according to Michael A. Ashburn, MD, MPH, and Lee A. Fleisher, MD.

Dr. Lee A. Fleisher
It is time for physicians to redouble efforts to improve the process of care when prescribing opioids,” Dr. Ashburn and Dr. Fleisher wrote in an editorial commenting on the meta-analysis.

Outcomes of the study, which suggest opioids produce modest benefits over placebo in pain and physical functioning, and no difference in pain relief versus NSAIDs, are likely to represent the best case scenario, the authors wrote.

That’s because most trials excluded patients with substance use disorder and nearly half excluded patients with mental illness or those taking psychotropic medications, they explained.

In the clinical setting, many patients will have depression, anxiety, sleep-disordered breathing, and other conditions that could increase the potential risk of harm with opioids, according to the authors.

That said, when proper monitoring is incorporated into care, opioid treatment can be safe and effective for selected patients. “Diligent opioid prescribing to carefully selected patients will lower the risk of harm to patients, their families, and the community,” the authors wrote in their editorial.

Dr. Ashburn and Dr. Fleisher are with the department of anesthesiology and critical care at the University of Pennsylvania, Philadelphia. Their editorial appears in JAMA. Dr. Ashburn reported receiving personal fees from Teva, the Department of Justice, the Attorney General for the State of Maryland, the Department of State for the Commonwealth of Pennsylvania, the Montgomery County District Attorney, and the Carolinas Pain Society. He also reported several patents related to drug delivery systems and methods.
 

Title
Opioids role very limited in noncancer pain
Opioids role very limited in noncancer pain

 

Compared with placebo, opioids provide very modest improvements in chronic noncancer pain and physical functioning that decrease over time, according to the authors of a systematic review and meta-analysis of nearly 100 randomized clinical trials.

Dr. Lee Fleisher

There was little difference in pain control between opioids and nonopioid alternatives such as NSAIDs in a subset of nine such comparative trials, reported the authors, led by Jason W. Busse, DC, PhD, of the department of anesthesia at McMaster University, Hamilton, Ont.

Pain benefits of opioids decreased over time in longer trials, possibly because of opioid tolerance or hyperalgesia, a condition marked by hypersensitivity to pain. “A reduced association with benefit over time might lead to prescription of higher opioid doses and consequent harms,” Dr. Busse and his coauthors wrote in JAMA.

The meta-analysis included 96 randomized clinical trials including 26,169 patients with chronic noncancer pain.

Opioid treatment did significantly improve pain and physical function versus placebo, though the magnitude of benefit was small, according to the investigators. The reduction in pain was –0.69 cm on a 10-cm visual analog scale (P less than .001), based on high-quality evidence from 42 randomized, controlled trials that followed patients for at least 3 months.

The improvement in physical functioning was likewise significant but small at 2.04 out of 100 points on the SF-36 physical component score (P less than .001). Emotional and role functioning were not significantly improved by opioid use.

Opioid use was linked to increased vomiting incidence versus placebo, with a relative risk of 4.12 (95% CI, 3.34-5.07; P less than .001) for patients in “nonenrichment” trials – those studies that included all patients regardless of whether or not they reported lack of improvement or had substantial adverse events during a study run-in period.

Nausea, constipation, dizziness, drowsiness, pruritus, and dry mouth were also linked to opioid use as compared with placebo, Dr. Busse and his colleagues reported.

The benefit of opioids and nonopioid alternatives appeared to be similar in this meta-analysis, though the available evidence from comparative studies was of low to moderate quality, the authors advised.

In moderate-quality evidence from nine clinical trials of opioids versus NSAIDs including 1,431 patients, there was no difference in pain relief between the two interventions, the investigators said. Moreover, comparisons of physician functioning also suggested no difference, while opioids were associated with more vomiting.

Both tricyclic antidepressants and synthetic cannabinoids offered similar pain relief, compared with opioids, based on low-quality clinical trial evidence, they added, while moderate-quality evidence suggested opioids offered superior pain relief, compared with anticonvulsants.

Support for the study came from the Canadian Institutes of Health Research and Health Canada. One study coauthor reported receiving personal fees from Purdue Pharma and the Nova Scotia College of Physicians and Surgeons.

SOURCE: Busse JW et al. JAMA. 2018;320(23):2448-60.

 

Compared with placebo, opioids provide very modest improvements in chronic noncancer pain and physical functioning that decrease over time, according to the authors of a systematic review and meta-analysis of nearly 100 randomized clinical trials.

Dr. Lee Fleisher

There was little difference in pain control between opioids and nonopioid alternatives such as NSAIDs in a subset of nine such comparative trials, reported the authors, led by Jason W. Busse, DC, PhD, of the department of anesthesia at McMaster University, Hamilton, Ont.

Pain benefits of opioids decreased over time in longer trials, possibly because of opioid tolerance or hyperalgesia, a condition marked by hypersensitivity to pain. “A reduced association with benefit over time might lead to prescription of higher opioid doses and consequent harms,” Dr. Busse and his coauthors wrote in JAMA.

The meta-analysis included 96 randomized clinical trials including 26,169 patients with chronic noncancer pain.

Opioid treatment did significantly improve pain and physical function versus placebo, though the magnitude of benefit was small, according to the investigators. The reduction in pain was –0.69 cm on a 10-cm visual analog scale (P less than .001), based on high-quality evidence from 42 randomized, controlled trials that followed patients for at least 3 months.

The improvement in physical functioning was likewise significant but small at 2.04 out of 100 points on the SF-36 physical component score (P less than .001). Emotional and role functioning were not significantly improved by opioid use.

Opioid use was linked to increased vomiting incidence versus placebo, with a relative risk of 4.12 (95% CI, 3.34-5.07; P less than .001) for patients in “nonenrichment” trials – those studies that included all patients regardless of whether or not they reported lack of improvement or had substantial adverse events during a study run-in period.

Nausea, constipation, dizziness, drowsiness, pruritus, and dry mouth were also linked to opioid use as compared with placebo, Dr. Busse and his colleagues reported.

The benefit of opioids and nonopioid alternatives appeared to be similar in this meta-analysis, though the available evidence from comparative studies was of low to moderate quality, the authors advised.

In moderate-quality evidence from nine clinical trials of opioids versus NSAIDs including 1,431 patients, there was no difference in pain relief between the two interventions, the investigators said. Moreover, comparisons of physician functioning also suggested no difference, while opioids were associated with more vomiting.

Both tricyclic antidepressants and synthetic cannabinoids offered similar pain relief, compared with opioids, based on low-quality clinical trial evidence, they added, while moderate-quality evidence suggested opioids offered superior pain relief, compared with anticonvulsants.

Support for the study came from the Canadian Institutes of Health Research and Health Canada. One study coauthor reported receiving personal fees from Purdue Pharma and the Nova Scotia College of Physicians and Surgeons.

SOURCE: Busse JW et al. JAMA. 2018;320(23):2448-60.

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Key clinical point: A meta-analysis showed that, in patients with chronic noncancer pain, opioids provided modest improvements versus placebo that receded with time, and comparable benefits versus nonopioid alternatives.

Major finding: The reduction in pain for opioids versus placebo was significant but small, at –0.69 cm on a 10-cm visual analog scale (P less than .001), in randomized, controlled trials following patients for at least 3 months.

Study details: A systematic review and meta-analysis of 96 randomized clinical trials for noncancer pain.

Disclosures: Support for the study came from the Canadian Institutes of Health Research and Health Canada. One study author reported receiving personal fees from Purdue Pharma and the Nova Scotia College of Physicians and Surgeons.

Source: Busse JW et al. JAMA. 2018;320(23):2448-60.

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