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The pipe and the plug: Is unblocking arteries enough?
It seems anachronistic that we still debate how best to fix the plumbing of clogged arteries. Our understanding of the pathogenesis of acute coronary syndromes has evolved in leaps and bounds since the first attempts at coronary revascularization. And yet, as Aggarwal et al discuss in their analysis of the FREEDOM trial,1 practical and technical questions about how best to open coronary blockages remain clinically relevant, even as we develop strategies to reverse the atherosclerotic processes that created those blockages.
Many acute coronary events arise not from coronary stenoses but from unstable, vulnerable plaques, which may be a distance away from the stable stenoses and thus undetectable. These unstable plaques, embedded within the remodeled arterial wall and without a protective fibrous cap, may rupture and cause an acute thrombotic occlusion. Statins, aspirin, and perhaps anti-inflammatory drugs (now including colchicine) decrease acute coronary events, likely by interfering with the chain of events initiated by plaque rupture.
So why should coronary artery bypass grafting (CABG) be superior to drug-eluting stents (with antiplatelet therapy) in some diabetic patients, as the FREEDOM trial1 found?
Stenting and balloon dilation repair discrete areas of critical narrowing presumed to be contributing to downstream myocardial ischemia. But areas of vulnerable, non-calcified plaque (with outward remodeling of the vessel wall but generally preserved lumen integrity) may be geographically separated from the identified stenosis and thus be left untreated by stenting. On the other hand, CABG may circumvent “silent” areas of nascent vulnerable plaque that, if left in place, might later rupture and cause acute syndromes or death.
This explanation is clearly hypothetical and one of many possibilities. But paying attention to the new biology of the atherosclerotic process should lead us all to be more aggressive in using treatments shown to reduce the progression of coronary artery disease and the occurrence of acute coronary syndromes. This is especially true in patients with diabetes who are known to have diffuse coronary involvement. So even as we more fully recognize the value of CABG in these patients, perhaps if we intervene earlier—with statins, hypertension control, improved diet, smoking cessation, prevention of chronic kidney disease, antiplatelet therapy, and anti-inflammatory therapy—we will not need it.
- Farkouh ME, Domanski M, Sleeper LA, et al. Strategies for multivessel revascularization in patients with diabetes. N Engl J Med 2012; 367:2375–2384.
It seems anachronistic that we still debate how best to fix the plumbing of clogged arteries. Our understanding of the pathogenesis of acute coronary syndromes has evolved in leaps and bounds since the first attempts at coronary revascularization. And yet, as Aggarwal et al discuss in their analysis of the FREEDOM trial,1 practical and technical questions about how best to open coronary blockages remain clinically relevant, even as we develop strategies to reverse the atherosclerotic processes that created those blockages.
Many acute coronary events arise not from coronary stenoses but from unstable, vulnerable plaques, which may be a distance away from the stable stenoses and thus undetectable. These unstable plaques, embedded within the remodeled arterial wall and without a protective fibrous cap, may rupture and cause an acute thrombotic occlusion. Statins, aspirin, and perhaps anti-inflammatory drugs (now including colchicine) decrease acute coronary events, likely by interfering with the chain of events initiated by plaque rupture.
So why should coronary artery bypass grafting (CABG) be superior to drug-eluting stents (with antiplatelet therapy) in some diabetic patients, as the FREEDOM trial1 found?
Stenting and balloon dilation repair discrete areas of critical narrowing presumed to be contributing to downstream myocardial ischemia. But areas of vulnerable, non-calcified plaque (with outward remodeling of the vessel wall but generally preserved lumen integrity) may be geographically separated from the identified stenosis and thus be left untreated by stenting. On the other hand, CABG may circumvent “silent” areas of nascent vulnerable plaque that, if left in place, might later rupture and cause acute syndromes or death.
This explanation is clearly hypothetical and one of many possibilities. But paying attention to the new biology of the atherosclerotic process should lead us all to be more aggressive in using treatments shown to reduce the progression of coronary artery disease and the occurrence of acute coronary syndromes. This is especially true in patients with diabetes who are known to have diffuse coronary involvement. So even as we more fully recognize the value of CABG in these patients, perhaps if we intervene earlier—with statins, hypertension control, improved diet, smoking cessation, prevention of chronic kidney disease, antiplatelet therapy, and anti-inflammatory therapy—we will not need it.
It seems anachronistic that we still debate how best to fix the plumbing of clogged arteries. Our understanding of the pathogenesis of acute coronary syndromes has evolved in leaps and bounds since the first attempts at coronary revascularization. And yet, as Aggarwal et al discuss in their analysis of the FREEDOM trial,1 practical and technical questions about how best to open coronary blockages remain clinically relevant, even as we develop strategies to reverse the atherosclerotic processes that created those blockages.
Many acute coronary events arise not from coronary stenoses but from unstable, vulnerable plaques, which may be a distance away from the stable stenoses and thus undetectable. These unstable plaques, embedded within the remodeled arterial wall and without a protective fibrous cap, may rupture and cause an acute thrombotic occlusion. Statins, aspirin, and perhaps anti-inflammatory drugs (now including colchicine) decrease acute coronary events, likely by interfering with the chain of events initiated by plaque rupture.
So why should coronary artery bypass grafting (CABG) be superior to drug-eluting stents (with antiplatelet therapy) in some diabetic patients, as the FREEDOM trial1 found?
Stenting and balloon dilation repair discrete areas of critical narrowing presumed to be contributing to downstream myocardial ischemia. But areas of vulnerable, non-calcified plaque (with outward remodeling of the vessel wall but generally preserved lumen integrity) may be geographically separated from the identified stenosis and thus be left untreated by stenting. On the other hand, CABG may circumvent “silent” areas of nascent vulnerable plaque that, if left in place, might later rupture and cause acute syndromes or death.
This explanation is clearly hypothetical and one of many possibilities. But paying attention to the new biology of the atherosclerotic process should lead us all to be more aggressive in using treatments shown to reduce the progression of coronary artery disease and the occurrence of acute coronary syndromes. This is especially true in patients with diabetes who are known to have diffuse coronary involvement. So even as we more fully recognize the value of CABG in these patients, perhaps if we intervene earlier—with statins, hypertension control, improved diet, smoking cessation, prevention of chronic kidney disease, antiplatelet therapy, and anti-inflammatory therapy—we will not need it.
- Farkouh ME, Domanski M, Sleeper LA, et al. Strategies for multivessel revascularization in patients with diabetes. N Engl J Med 2012; 367:2375–2384.
- Farkouh ME, Domanski M, Sleeper LA, et al. Strategies for multivessel revascularization in patients with diabetes. N Engl J Med 2012; 367:2375–2384.
The FREEDOM trial: In appropriate patients with diabetes and multivessel coronary artery disease, CABG beats PCI
Many patients with diabetes mellitus develop complex, accelerated, multifocal coronary artery disease. Moreover, if they undergo revascularization with either coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI), their risk of morbidity and death afterward is higher than in those without diabetes.1,2
Over the last 2 decades, CABG and PCI have advanced significantly, as have antithrombotic therapy and drug therapies to modify cardiovascular risk factors such as hyperlipidemia, hypertension, and diabetes.
Several earlier studies showed CABG to be more beneficial than PCI in diabetic patients with multivessel coronary artery disease.3–5 However, the topic has been controversial, and a substantial proportion of these patients continue to undergo PCI rather than CABG.
There are two main reasons for the continued use of PCI in this population. First, PCI is evolving, with new adjuvant drugs and drugeluting stents. Many cardiologists believe that earlier trials, which did not use contemporary PCI techniques, are outdated and that current, state-of-the-art PCI may be equivalent to—if not superior to—CABG.
Second, PCI is often performed on an ad hoc basis immediately after diagnostic angiography, leaving little time for discussion with the patient about alternative treatments. In this scenario, patients are inclined to undergo PCI immediately, while they are already on the table in the catheterization suite, rather than CABG at a later date.6
In addition, although the current joint guide-lines of the American College of Cardiology and the American Heart Association state that CABG is preferable to PCI for patients with diabetes and multivessel coronary artery disease, they give it only a level IIa recommendation.7
The much-anticipated Future Revascularization Evaluation in Patients With Diabetes Mellitus: Optimal Management of Multivessel Disease (FREEDOM) trial8 was designed to settle the CABG-vs-PCI debate, thereby leading to a stronger guideline recommendation for the preferred revascularization strategy in this patient population.
WHY ARE DIABETIC PATIENTS DIFFERENT?
Diabetes mellitus is a major risk factor for premature and aggressive coronary artery disease. Several mechanisms have been proposed to explain this association.
Diabetic patients have higher concentrations of several inflammatory proteins than those without diabetes, including C-reactive protein, tumor necrosis factor, and platelet-derived soluble CD40 ligand. They also have higher levels of adhesion molecules such as vascular cell adhesion molecule-1 and intercellular adhesion molecule.9,10 In addition, when blood sugar levels are high, platelets express more glycoprotein IIb/IIIa receptors and are therefore more prone to aggregate.11
These prothrombotic and proinflammatory cytokines, in conjunction with endothelial dysfunction and metabolic disorders such as hyperglycemia, hyperlipidemia, obesity, insulin resistance, and oxidative stress, lead to accelerated atherosclerosis in patients with diabetes.12 Also, because diabetes is a systemic disease, the atherosclerotic process is diffuse, and many patients with diabetes have left main coronary artery lesions and diffuse multivessel coronary artery disease.13,14
Although the short-term outcomes of revascularization by any means are comparable in patients with and without diabetes, diabetic patients have lower long-term survival rates and higher rates of myocardial infarction and need for repeat procedures.15 Diabetic patients who undergo PCI have a high rate of stent thrombosis and restenosis.16,17 Similarly, those undergoing CABG have higher rates of postoperative infection and renal and neurologic complications.18,19
BEFORE THE FREEDOM TRIAL
The question of CABG vs PCI has plagued physicians ever since PCI came to the forefront in the 1980s. Before stents were widely used, PCI with balloon angioplasty was known to be comparable to CABG for single-vessel disease, but whether it was beneficial in patients with multivessel disease or left main disease was not entirely evident. Randomized clinical trials were launched to answer the question.
Studies of balloon angioplasty vs CABG
The BARI trial (Bypass Angioplasty Revascularization Investigation),5,20 published in 1996, compared PCI (using balloon angioplasty without a stent) and CABG in patients with multivessel coronary artery disease (Table 120–29).
Between 1988 and 1991, the trial randomly assigned 1,829 patients with multivessel disease to receive either PCI or CABG and compared their long-term outcomes. Although there was no difference in mortality rates between the two groups overall, the diabetic subgroup had a significantly better survival rate with CABG than with PCI, which was sustained over a follow-up period of 10 years.5
BARI had a significant clinical impact at the time and led to a clinical alert by the National Heart, Lung, and Blood Institute recommending CABG over PCI for patients with diabetes. However, not everyone accepted the results, because they were based on a small number of patients (n = 353) in a retrospectively determined subgroup. Further, the BARI trial was conducted before the advent of coronary stents, which were later shown to improve outcomes after PCI. Also, optimal medical therapy after revascularization was not specified in the protocol, which likely affected outcomes.
EAST (Emory Angioplasty Versus Surgery Trial)21 and CABRI (Coronary Angioplasty Versus Bypass Revascularization Investigation) 22 were similar randomized trials comparing angioplasty and CABG in patients with multivessel coronary artery disease. These showed better outcomes after CABG in patients with diabetes. However, lack of statistical significance because of small sample sizes limited their clinical impact.
Studies of PCI with bare-metal stents vs CABG
The ARTS trial (Arterial Revascularization Therapy Study) compared PCI (with bare-metal stents) and CABG in 1,205 patients with multivessel coronary artery disease.23 The mortality rate did not differ significantly between two treatment groups overall or in the diabetic subgroup. However, the repeat revascularization rate was higher with PCI than with CABG.
The SoS trial (Stenting or Surgery)24 had similar results.
The ERACI II trial (Argentine Randomized Study: Coronary Angioplasty With Stenting Versus Coronary Bypass Surgery in Multi-Vessel Disease)25 found no difference in mortality rates at 5 years with CABG vs PCI.
These trials were criticized, as none of them routinely used glycoprotein IIb/IIIa inhibitors with PCI, which by then had been shown to reduce mortality rates.30 However, these trials made it clear that restenosis requiring repeat revascularization was a major disadvantage of PCI with bare-metal stents compared with CABG in patients with diabetes. Drug-eluting stents, which significantly reduced the rates of in-stent restenosis and target-lesion revascularization, were expected to overcome this major disadvantage.
Studies of PCI with drug-eluting stents vs CABG
ARTS II was the first trial to compare PCI with drug-eluting stents vs CABG. This was a nonrandomized single-arm study of 607 patients (including 159 with diabetes) who were treated with drug-eluting stents; the outcomes were compared with the CABG group from the earlier ARTS trial.31
At 3 years, in the diabetic subgroup, the rates of death, myocardial infarction, and stroke were not significantly different between treatments, although a trend favored PCI. However, this comparison was limited by selection bias, as ARTS II was a nonrandomized trial in which operators chose patients for drug-eluting stents in an attempt to match already known outcomes from the CABG cohort of ARTS.
SYNTAX (Synergy Between PCI With Taxus and Cardiac Surgery) was the first randomized trial comparing PCI with drug-eluting stents (in this trial, paclitaxel-eluting) vs CABG in patients with three-vessel or left main coronary artery disease.26,27 Subgroup analysis in patients with diabetes mellitus revealed a higher rate of major adverse cardiac and cerebrovascular events (death, myocardial infarction, stroke, or repeat revascularization) in the PCI group than in the CABG patients, largely driven by higher rates of repeat revascularization after PCI.32,33 SYNTAX was not designed to assess significant differences in rates of death.
The CARDIa trial (Coronary Artery Revascularization in Diabetes) randomized patients with diabetes and multivessel coronary artery disease to PCI (about one-third with bare-metal stents and two-thirds with drug-eluting stents) or CABG. Rates of major adverse cardiac and cerebrovascular events were higher in the PCI group, again largely driven by higher rates of repeat revascularization.4 CARDIa was stopped early because of a lack of enrollment and could not provide sufficient evidence to endorse one strategy over the other.
VA-CARDS (Veteran Affairs Coronary Artery Revascularization in Diabetes) randomized patients with diabetes and proximal left anterior descending artery or multivessel coronary artery disease to receive PCI with drug-eluting stents or CABG.28 Although the rate of death was lower with CABG than with PCI at 2 years, the trial was underpowered and was terminated at 25% of the initial intended patient enrollment. In addition, only 9% of diabetic patients screened were angiographically eligible for the study.29
Registry data. Analysis of a large data set from the National Cardiovascular Disease Registry and the Society of Thoracic Surgeons revealed a survival advantage of CABG over PCI for a follow-up period of 5 years.34 However, this was a nonrandomized study, so its conclusions were not definitive.
THE FREEDOM TRIAL
Given the limitations of the trials described above, the National Heart, Lung, and Blood Institute sponsored the FREEDOM trial—an appropriately powered, randomized comparison of PCI (with drug-eluting stents) and CABG (using arterial grafting) in patients with diabetes and multivessel coronary artery disease using contemporary techniques and concomitant optimal medical therapy.8
FREEDOM study design
The FREEDOM trial enrolled 1,900 patients with diabetes and angiographically confirmed multivessel coronary artery disease (83% with three-vessel disease) with stenosis of more than 70% in two or more major epicardial vessels involving at least two separate coronary-artery territories. The main exclusion criteria were severe left main coronary artery stenosis (≥ 50% stenosis), class III or IV congestive heart failure, and previous CABG or valve surgery. For CABG surgery, arterial revascularization was encouraged.
Dual antiplatelet therapy was recommended for at least 12 months in patients receiving a drug-eluting stent, and optimal medical management for diabetes, hypertension, and hyperlipidemia was strongly advocated.
Between April 2005 and April 2010, 32,966 patients were screened, of whom 3,309 were eligible for the trial and 1,900 consented and were randomized (953 to the PCI group and 947 to the CABG group). The patients were followed for a minimum of 2 years and had a median follow-up time of 3.8 years. Outcomes were measured with an intention-to-treat analysis.
Study results
Patients. The groups were comparable with regard to baseline demographics and cardiac risk factors.
The mean age was 63; 29% of the patients were women, and 83% had three-vessel coronary artery disease. The mean hemoglobin A1c was 7.8%, and the mean ejection fraction was 66%. The mean SYNTAX score, which defines the anatomic complexity of lesions, was 26 (≤ 22 is mild, 23–32 is intermediate, and ≥ 33 is high). The mean EURO score, which defines surgical risk, was 2.7 (a score ≥ 5 being associated with a lower rate of survival).
The primary composite outcome (death, nonfatal myocardial infarction, or nonfatal stroke) occurred less frequently in the CABG group than in the PCI group (Table 2). CABG was also associated with significantly lower rates of death from any cause and of myocardial infarction. Importantly, survival curves comparing the two groups diverged at 2-year follow-up. In contrast to other outcomes assessed, stroke occurred more often in the CABG group. The 5-year rates in the CABG group vs the PCI group were:
- Primary outcome—18.7% vs 26.6%, P = .005
- Death from any cause—10.9% vs 16.3%, P = .049
- Myocardial infarction—6% vs 13.9%, P < .0001
- Stroke—5.2% vs 2.4%, P = .03.
The secondary outcome (death, nonfatal myocardial infarction, nonfatal stroke, or repeat revascularization at 30 days or 12 months) had occurred significantly more often in the PCI group than in the CABG group at 1 year (16.8% vs 11.8%, P = .004), with most of the difference attributable to a higher repeat revascularization rate in the PCI group (12.6% vs 4.8%, P < .001).
Subgroup analysis. CABG was superior to PCI across all prespecified subgroups, covering the complexity of the coronary artery disease. Event rates with CABG vs PCI, by tertiles of the SYNTAX score:
- SYNTAX scores ≤ 22: 17.2% vs 23.2%
- SYNTAX scores 23–32: 17.7% vs 27.2%
- SYNTAX scores ≥ 33: 22.8% vs 30.6%.
Cost-effectiveness. Although up-front costs were higher with CABG, at $34,467 for the index hospitalization vs $25,845 for PCI (P < .001), when the in-trial results were extended to a lifetime horizon, CABG had an incremental cost-effectiveness ratio of $8,132 per quality-adjusted life-year gained vs PCI.35 Traditionally, therapies are considered costeffective if the incremental cost-effectiveness ratio is less than $50,000 per quality-adjusted life-year gained.
WHY MAY CABG BE SUPERIOR IN DIABETIC PATIENTS?
The major advantage of CABG over PCI is the ability to achieve complete revascularization. Diabetic patients with coronary artery disease tend to have diffuse, multifocal disease with several stenotic lesions in multiple coronary arteries. While stents only treat the focal area of most significant occlusion, CABG may bypass all proximal vulnerable plaques that could potentially develop into culprit lesions over time, truly bypassing the diseased segments (Figure 1).
In addition, heavy calcification may not allow optimal stenting in these patients.
Use of multiple stents increases the risk of restenosis, which could lead to a higher incidence of myocardial infarction and need for repeat revascularization. This was evident in the FREEDOM trial, in which the mean number of stents per patient was 4.2. Also, some lesions need to be left untreated because of the complexity involved.
The major improvement in outcomes after CABG has resulted from using arterial conduits such as the internal mammary artery rather than the saphenous vein.36 The patency rates of internal mammary artery grafts exceed 80% over 10 years.37 Internal mammary artery grafting was done in 94% of patients receiving CABG in the FREEDOM trial.
WHAT DOES THIS MEAN?
FREEDOM was a landmark trial that confirmed that CABG provides significant benefit compared with contemporary PCI with drug-eluting stents in patients with diabetes mellitus and multivessel coronary artery disease. It was a large multicenter trial that was adequately powered, unlike most of the earlier trials of this topic.
Unlike previous trials in which the benefit of CABG was driven by reduction in repeat revascularizations alone, FREEDOM showed lower incidence rates of all-cause mortality and myocardial infarction with CABG than with PCI. CABG was better regardless of SYNTAX score, number of diseased vessels, ejection fraction, race, or sex of the patient, indicating that it leads to superior outcomes across a wide spectrum of patients.
An argument that cardiologists often cite when recommending PCI is that it can save money due to lower length of index hospital stay and lower procedure costs of with PCI than with CABG. However, in FREEDOM, CABG also appeared to be highly cost-effective.
FREEDOM had limitations
While FREEDOM provided robust data proving the superiority of CABG, the study had several limitations.
Although there was an overall survival benefit with CABG compared with PCI, the difference in incidence of cardiovascular deaths (which accounted for 64% of all deaths) was not statistically significant.
The trial included only patients who were eligible for both PCI and CABG. Hence, the results may not be generalizable to all diabetic patients with multivessel coronary artery disease—indeed, only 10% of those screened were considered eligible for the trial. However, it is likely that several patients screened in the FREEDOM trial may not have been eligible for PCI or CABG at the time of screening, since the revascularization decision was made by a multidisciplinary team and a more appropriate decision (either CABG or PCI) was then made.
Other factors limiting the general applicability of the results were low numbers of female patients (28.6%), black patients (6.3%), patients with an ejection fraction of 40% or less (2.5%), and patients with a low SYNTAX score (35%).
There were several unexplained observations as well. The difference in events between the treatment groups was much higher in North America than in other regions. The number of coronary lesions in the CABG group was high (mean = 5.74), but the average numbers of grafts used was only 2.9, and data were not provided regarding use of sequential grafting. Similarly, an average of only 3.5 of the six stenotic lesions per patient in the PCI group were revascularized; whether this was the result of procedural limitations with PCI was not entirely clear.
In addition, while the investigators mention that an average patient received four stents, a surprising finding was that the mean total length of the stents used was only 26 mm. This appears too small, as the usual length of one drug-eluting stent is about 20 to 30 mm.
Since only high-volume centers with good outcome data were included in the trial, the results may lack validity for patients undergoing revascularization at low-volume community centers.
It remains to be seen if the benefits of CABG will be sustained over 10 years and longer, when saphenous vein grafts tend to fail and require repeat revascularization, commonly performed with PCI. Previous data suggest that the longer the follow-up, the better the results with CABG. However, long-term results (> 10 years) in studies comparing drugeluting stents and CABG are not available.
Despite limitations, FREEDOM may change clinical practice
Despite these limitations, the FREEDOM trial has the potential to change clinical practice and strengthen current recommendations for CABG in these patients.
The trial underscored the importance of a multidisciplinary heart team approach in managing patients with complex coronary artery disease, similar to that being used in patients with severe aortic stenosis since transcatheter aortic valve replacement became available.
It should also bring an end to the practice of ad hoc PCI, especially in patients with diabetes and multivessel coronary artery disease. It is now imperative that physicians discuss current evidence for therapeutic options with the patients and their families before performing diagnostic angiography rather than immediately afterward, to give the patients ample time to make an informed decision. This is important, as most patients are likely to choose PCI in the same setting over CABG unless there is extensive discussion about the risks and benefits of both strategies done in an unbiased manner before angiography.
The fear of open heart surgery, a longer hospital stay, and a higher risk of stroke with CABG may lead some patients to choose PCI instead. In addition, factors that may preclude CABG in otherwise-eligible patients include anatomic considerations (diffuse distal vessel disease, poor conduits), individual factors (frailty, poor renal function, poor pulmonary function, patient preference), and local expertise.
Nevertheless, the patient should be presented with current evidence, and discussions regarding the optimal procedure should be held with a heart team, which should include an interventional cardiologist, a cardiothoracic surgeon, and a noninvasive cardiologist to facilitate an unbiased decision.
Regardless of the strategy chosen, the importance of compliance with optimal medical therapy (statins, antiplatelet agents, diabetes treatment) should be continuously emphasized to the patient.
WHAT DOES THE FUTURE HOLD?
Despite unequivocal evidence that CABG is superior to PCI in eligible patients with diabetes mellitus in the current era, PCI technologies continue to evolve rapidly. Newer second-generation drug-eluting stents have shown lower rates of restenosis38,39 and may shorten the duration of post-PCI dual-antiplatelet therapy, a nuisance that has negatively affected outcomes with drug-eluting stents (because of problems of cost, poor compliance, and increased bleeding risk).
At the same time, CABG has also improved, with more extensive use of complete arterial conduits and use of an off-pump bypass technique that in theory poses a lower risk of stroke, although this has not yet been shown in a randomized trial.40
Alternative approaches are being investigated. One of them is a hybrid procedure in which minimally invasive off-pump arterial grafting is combined with drug-eluting stents, which may reduce the risk of stroke and speed postoperative recovery.
- Flaherty JD, Davidson CJ. Diabetes and coronary revascularization. JAMA 2005; 293:1501–1508.
- Nicholls SJ, Tuzcu EM, Kalidindi S, et al. Effect of diabetes on progression of coronary atherosclerosis and arterial remodeling: a pooled analysis of 5 intravascular ultrasound trials. J Am Coll Cardiol 2008; 52:255–262.
- Mack MJ, Banning AP, Serruys PW, et al. Bypass versus drug-eluting stents at three years in SYNTAX patients with diabetes mellitus or metabolic syndrome. Ann Thorac Surg 2011; 92:2140–2146.
- Kapur A, Hall RJ, Malik IS, et al. Randomized comparison of percutaneous coronary intervention with coronary artery bypass grafting in diabetic patients. 1-year results of the CARDia (Coronary Artery Revascularization in Diabetes) trial. J Am Coll Cardiol 2010; 55:432–440.
- The final 10-year follow-up results from the BARI randomized trial. J Am Coll Cardiol 2007; 49:1600–1606.
- Hlatky MA. Compelling evidence for coronary-bypass surgery in patients with diabetes. N Engl J Med 2012; 367:2437–2438.
- Levine GN, Bates ER, Blankenship JC, et al. 2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Society for Cardiovascular Angiography and Interventions. Circulation 2011; 124:2574–2609.
- Farkouh ME, Domanski M, Sleeper LA, et al. Strategies for multivessel revascularization in patients with diabetes. N Engl J Med 2012; 367:2375–2384.
- Moreno PR, Murcia AM, Palacios IF, et al. Coronary composition and macrophage infiltration in atherectomy specimens from patients with diabetes mellitus. Circulation 2000; 102:2180–2184.
- Bluher M, Unger R, Rassoul F, et al. Relation between glycaemic control, hyperinsulinaemia and plasma concentrations of soluble adhesion molecules in patients with impaired glucose tolerance or type II diabetes. Diabetologia 2002; 45:210–216.
- Creager MA, Luscher TF, Cosentino F, Beckman JA. Diabetes and vascular disease: pathophysiology, clinical consequences, and medical therapy: part I. Circulation 2003; 108:1527–1532.
- Biondi-Zoccai GG, Abbate A, Liuzzo G, Biasucci LM. Atherothrombosis, inflammation, and diabetes. J Am Coll Cardiol 2003; 41:1071–1077.
- Waller BF, Palumbo PJ, Lie JT, Roberts WC. Status of the coronary arteries at necropsy in diabetes mellitus with onset after age 30 years. Analysis of 229 diabetic patients with and without clinical evidence of coronary heart disease and comparison to 183 control subjects. Am J Med 1980; 69:498–506.
- Morrish NJ, Stevens LK, Head J, et al. A prospective study of mortality among middle-aged diabetic patients (the London Cohort of the WHO Multinational Study of Vascular Disease in Diabetics) I: causes and death rates. Diabetologia 1990; 33:538–541.
- Laskey WK, Selzer F, Vlachos HA, et al. Comparison of in-hospital and one-year outcomes in patients with and without diabetes mellitus undergoing percutaneous catheter intervention (from the National Heart, Lung, and Blood Institute Dynamic Registry). Am J Cardiol 2002; 90:1062–1067.
- Mathew V, Gersh BJ, Williams BA, et al. Outcomes in patients with diabetes mellitus undergoing percutaneous coronary intervention in the current era: a report from the Prevention of REStenosis with Tranilast and its Outcomes (PRESTO) trial. Circulation 2004; 109:476–480.
- Glaser R, Selzer F, Faxon DP, et al. Clinical progression of incidental, asymptomatic lesions discovered during culprit vessel coronary intervention. Circulation 2005; 111:143–149.
- Morricone L, Ranucci M, Denti S, et al. Diabetes and complications after cardiac surgery: comparison with a non-diabetic population. Acta Diabetologica 1999; 36:77–84.
- Hogue CW, Murphy SF, Schechtman KB, Davila-Roman VG. Risk factors for early or delayed stroke after cardiac surgery. Circulation 1999; 100:642–647.
- The Bypass Angioplasty Revascularization Investigation (BARI) Investigators. Comparison of coronary bypass surgery with angioplasty in patients with multivessel disease. N Engl J Med 1996; 335:217–225.
- King SB, Kosinski AS, Guyton RA, Lembo NJ, Weintraub WS. Eightyear mortality in the Emory Angioplasty versus Surgery Trial (East). J Am Coll Cardiol 2000; 35:1116–1121.
- Kurbaan AS, Bowker TJ, Ilsley CD, Sigwart U, Rickards AF; CABRI Investigators (Coronary Angioplasty versus Bypass Revascularization Investigation). Difference in the mortality of the CABRI diabetic and nondiabetic populations and its relation to coronary artery disease and the revascularization mode. Am J Cardiol 2001; 87:947–950.
- Serruys PW, Ong AT, van Herwerden LA, et al. Five-year outcomes after coronary stenting versus bypass surgery for the treatment of multivessel disease: the final analysis of the Arterial Revascularization Therapies Study (ARTS) randomized trial. J Am Coll Cardiol 2005; 46:575–581.
- Booth J, Clayton T, Pepper J, et al. Randomized, controlled trial of coronary artery bypass surgery versus percutaneous coronary intervention in patients with multivessel coronary artery disease: six-year follow-up from the Stent or Surgery Trial (SoS). Circulation 2008; 118:381–388.
- Rodriguez AE, Baldi J, Fernandez Pereira C, et al. Five-year follow-up of the Argentine randomized trial of coronary angioplasty with stenting versus coronary bypass surgery in patients with multiple vessel disease (ERACI II). J Am Coll Cardiol 2005; 46:582–588.
- Serruys PW, Morice MC, Kappetein AP, et al. Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease. N Engl J Med 2009; 360:961–972.
- Mohr FW, Morice MC, Kappetein AP, et al. Coronary artery bypass graft surgery versus percutaneous coronary intervention in patients with three-vessel disease and left main coronary disease: 5-year follow-up of the randomised, clinical SYNTAX trial. Lancet 2013; 381:629–638.
- Kamalesh M, Sharp TG, Tang XC, et al. Percutaneous coronary intervention versus coronary bypass surgery in United States veterans with diabetes. J Am Coll Cardiol 2013; 61:808–816.
- Ellis SG. Coronary revascularization for patients with diabetes: updated data favor coronary artery bypass grafting. J Am Coll Cardiol 2013; 61:817–819.
- Bhatt DL, Marso SP, Lincoff AM, et al. Abciximab reduces mortality in diabetics following percutaneous coronary intervention. J Am Coll Cardiol 2000; 35:922–928.
- Serruys PW, Ong AT, Morice MC, et al. Arterial Revascularisation Therapies Study Part II - Sirolimus-eluting stents for the treatment of patients with multivessel de novo coronary artery lesions. EuroIntervention 2005; 1:147–156.
- Kappetein AP, Head SJ, Morice MC, et al. Treatment of complex coronary artery disease in patients with diabetes: 5-year results comparing outcomes of bypass surgery and percutaneous coronary intervention in the SYNTAX trial. Eur J Cardiothorac Surg 2013; 43:1006–1013.
- Banning AP, Westaby S, Morice MC, et al. Diabetic and nondiabetic patients with left main and/or 3-vessel coronary artery disease: comparison of outcomes with cardiac surgery and paclitaxel-eluting stents. J Am Coll Cardiol 2010; 55:1067–1075.
- Weintraub WS, Grau-Sepulveda MV, Weiss JM, et al. Comparative effectiveness of revascularization strategies. N Engl J Med 2012; 366:1467–1476.
- Magnuson EA, Farkouh ME, Fuster V, et al; FREEDOM Trial Investigators. Cost-effectiveness of percutaneous coronary intervention with drug eluting stents versus bypass surgery for patients with diabetes and multivessel coronary artery disease: results from the FREEDOM trial. Circulation 2013; 127:820–831.
- Loop FD, Lytle BW, Cosgrove DM, et al. Influence of the internal-mammary-artery graft on 10-year survival and other cardiac events. N Engl J Med 1986; 314:1–6.
- Tector AJ, Schmahl TM, Janson B, et al. The internal mammary artery graft. Its longevity after coronary bypass. JAMA 1981; 246:2181–2183.
- Stone GW, Rizvi A, Newman W, et al. Everolimus-eluting versus paclitax-eleluting stents in coronary artery disease. N Engl J Med 2010; 362:1663–1674.
- Serruys PW, Silber S, Garg S, et al. Comparison of zotarolimus-eluting and everolimus-eluting coronary stents. N Engl J Med 2010; 363:136–146.
- Lamy A, Devereaux PJ, Prabhakaran D, et al. Off-pump or on-pump coronary-artery bypass grafting at 30 days. N Engl J Med 2012; 366:1489–1497.
Many patients with diabetes mellitus develop complex, accelerated, multifocal coronary artery disease. Moreover, if they undergo revascularization with either coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI), their risk of morbidity and death afterward is higher than in those without diabetes.1,2
Over the last 2 decades, CABG and PCI have advanced significantly, as have antithrombotic therapy and drug therapies to modify cardiovascular risk factors such as hyperlipidemia, hypertension, and diabetes.
Several earlier studies showed CABG to be more beneficial than PCI in diabetic patients with multivessel coronary artery disease.3–5 However, the topic has been controversial, and a substantial proportion of these patients continue to undergo PCI rather than CABG.
There are two main reasons for the continued use of PCI in this population. First, PCI is evolving, with new adjuvant drugs and drugeluting stents. Many cardiologists believe that earlier trials, which did not use contemporary PCI techniques, are outdated and that current, state-of-the-art PCI may be equivalent to—if not superior to—CABG.
Second, PCI is often performed on an ad hoc basis immediately after diagnostic angiography, leaving little time for discussion with the patient about alternative treatments. In this scenario, patients are inclined to undergo PCI immediately, while they are already on the table in the catheterization suite, rather than CABG at a later date.6
In addition, although the current joint guide-lines of the American College of Cardiology and the American Heart Association state that CABG is preferable to PCI for patients with diabetes and multivessel coronary artery disease, they give it only a level IIa recommendation.7
The much-anticipated Future Revascularization Evaluation in Patients With Diabetes Mellitus: Optimal Management of Multivessel Disease (FREEDOM) trial8 was designed to settle the CABG-vs-PCI debate, thereby leading to a stronger guideline recommendation for the preferred revascularization strategy in this patient population.
WHY ARE DIABETIC PATIENTS DIFFERENT?
Diabetes mellitus is a major risk factor for premature and aggressive coronary artery disease. Several mechanisms have been proposed to explain this association.
Diabetic patients have higher concentrations of several inflammatory proteins than those without diabetes, including C-reactive protein, tumor necrosis factor, and platelet-derived soluble CD40 ligand. They also have higher levels of adhesion molecules such as vascular cell adhesion molecule-1 and intercellular adhesion molecule.9,10 In addition, when blood sugar levels are high, platelets express more glycoprotein IIb/IIIa receptors and are therefore more prone to aggregate.11
These prothrombotic and proinflammatory cytokines, in conjunction with endothelial dysfunction and metabolic disorders such as hyperglycemia, hyperlipidemia, obesity, insulin resistance, and oxidative stress, lead to accelerated atherosclerosis in patients with diabetes.12 Also, because diabetes is a systemic disease, the atherosclerotic process is diffuse, and many patients with diabetes have left main coronary artery lesions and diffuse multivessel coronary artery disease.13,14
Although the short-term outcomes of revascularization by any means are comparable in patients with and without diabetes, diabetic patients have lower long-term survival rates and higher rates of myocardial infarction and need for repeat procedures.15 Diabetic patients who undergo PCI have a high rate of stent thrombosis and restenosis.16,17 Similarly, those undergoing CABG have higher rates of postoperative infection and renal and neurologic complications.18,19
BEFORE THE FREEDOM TRIAL
The question of CABG vs PCI has plagued physicians ever since PCI came to the forefront in the 1980s. Before stents were widely used, PCI with balloon angioplasty was known to be comparable to CABG for single-vessel disease, but whether it was beneficial in patients with multivessel disease or left main disease was not entirely evident. Randomized clinical trials were launched to answer the question.
Studies of balloon angioplasty vs CABG
The BARI trial (Bypass Angioplasty Revascularization Investigation),5,20 published in 1996, compared PCI (using balloon angioplasty without a stent) and CABG in patients with multivessel coronary artery disease (Table 120–29).
Between 1988 and 1991, the trial randomly assigned 1,829 patients with multivessel disease to receive either PCI or CABG and compared their long-term outcomes. Although there was no difference in mortality rates between the two groups overall, the diabetic subgroup had a significantly better survival rate with CABG than with PCI, which was sustained over a follow-up period of 10 years.5
BARI had a significant clinical impact at the time and led to a clinical alert by the National Heart, Lung, and Blood Institute recommending CABG over PCI for patients with diabetes. However, not everyone accepted the results, because they were based on a small number of patients (n = 353) in a retrospectively determined subgroup. Further, the BARI trial was conducted before the advent of coronary stents, which were later shown to improve outcomes after PCI. Also, optimal medical therapy after revascularization was not specified in the protocol, which likely affected outcomes.
EAST (Emory Angioplasty Versus Surgery Trial)21 and CABRI (Coronary Angioplasty Versus Bypass Revascularization Investigation) 22 were similar randomized trials comparing angioplasty and CABG in patients with multivessel coronary artery disease. These showed better outcomes after CABG in patients with diabetes. However, lack of statistical significance because of small sample sizes limited their clinical impact.
Studies of PCI with bare-metal stents vs CABG
The ARTS trial (Arterial Revascularization Therapy Study) compared PCI (with bare-metal stents) and CABG in 1,205 patients with multivessel coronary artery disease.23 The mortality rate did not differ significantly between two treatment groups overall or in the diabetic subgroup. However, the repeat revascularization rate was higher with PCI than with CABG.
The SoS trial (Stenting or Surgery)24 had similar results.
The ERACI II trial (Argentine Randomized Study: Coronary Angioplasty With Stenting Versus Coronary Bypass Surgery in Multi-Vessel Disease)25 found no difference in mortality rates at 5 years with CABG vs PCI.
These trials were criticized, as none of them routinely used glycoprotein IIb/IIIa inhibitors with PCI, which by then had been shown to reduce mortality rates.30 However, these trials made it clear that restenosis requiring repeat revascularization was a major disadvantage of PCI with bare-metal stents compared with CABG in patients with diabetes. Drug-eluting stents, which significantly reduced the rates of in-stent restenosis and target-lesion revascularization, were expected to overcome this major disadvantage.
Studies of PCI with drug-eluting stents vs CABG
ARTS II was the first trial to compare PCI with drug-eluting stents vs CABG. This was a nonrandomized single-arm study of 607 patients (including 159 with diabetes) who were treated with drug-eluting stents; the outcomes were compared with the CABG group from the earlier ARTS trial.31
At 3 years, in the diabetic subgroup, the rates of death, myocardial infarction, and stroke were not significantly different between treatments, although a trend favored PCI. However, this comparison was limited by selection bias, as ARTS II was a nonrandomized trial in which operators chose patients for drug-eluting stents in an attempt to match already known outcomes from the CABG cohort of ARTS.
SYNTAX (Synergy Between PCI With Taxus and Cardiac Surgery) was the first randomized trial comparing PCI with drug-eluting stents (in this trial, paclitaxel-eluting) vs CABG in patients with three-vessel or left main coronary artery disease.26,27 Subgroup analysis in patients with diabetes mellitus revealed a higher rate of major adverse cardiac and cerebrovascular events (death, myocardial infarction, stroke, or repeat revascularization) in the PCI group than in the CABG patients, largely driven by higher rates of repeat revascularization after PCI.32,33 SYNTAX was not designed to assess significant differences in rates of death.
The CARDIa trial (Coronary Artery Revascularization in Diabetes) randomized patients with diabetes and multivessel coronary artery disease to PCI (about one-third with bare-metal stents and two-thirds with drug-eluting stents) or CABG. Rates of major adverse cardiac and cerebrovascular events were higher in the PCI group, again largely driven by higher rates of repeat revascularization.4 CARDIa was stopped early because of a lack of enrollment and could not provide sufficient evidence to endorse one strategy over the other.
VA-CARDS (Veteran Affairs Coronary Artery Revascularization in Diabetes) randomized patients with diabetes and proximal left anterior descending artery or multivessel coronary artery disease to receive PCI with drug-eluting stents or CABG.28 Although the rate of death was lower with CABG than with PCI at 2 years, the trial was underpowered and was terminated at 25% of the initial intended patient enrollment. In addition, only 9% of diabetic patients screened were angiographically eligible for the study.29
Registry data. Analysis of a large data set from the National Cardiovascular Disease Registry and the Society of Thoracic Surgeons revealed a survival advantage of CABG over PCI for a follow-up period of 5 years.34 However, this was a nonrandomized study, so its conclusions were not definitive.
THE FREEDOM TRIAL
Given the limitations of the trials described above, the National Heart, Lung, and Blood Institute sponsored the FREEDOM trial—an appropriately powered, randomized comparison of PCI (with drug-eluting stents) and CABG (using arterial grafting) in patients with diabetes and multivessel coronary artery disease using contemporary techniques and concomitant optimal medical therapy.8
FREEDOM study design
The FREEDOM trial enrolled 1,900 patients with diabetes and angiographically confirmed multivessel coronary artery disease (83% with three-vessel disease) with stenosis of more than 70% in two or more major epicardial vessels involving at least two separate coronary-artery territories. The main exclusion criteria were severe left main coronary artery stenosis (≥ 50% stenosis), class III or IV congestive heart failure, and previous CABG or valve surgery. For CABG surgery, arterial revascularization was encouraged.
Dual antiplatelet therapy was recommended for at least 12 months in patients receiving a drug-eluting stent, and optimal medical management for diabetes, hypertension, and hyperlipidemia was strongly advocated.
Between April 2005 and April 2010, 32,966 patients were screened, of whom 3,309 were eligible for the trial and 1,900 consented and were randomized (953 to the PCI group and 947 to the CABG group). The patients were followed for a minimum of 2 years and had a median follow-up time of 3.8 years. Outcomes were measured with an intention-to-treat analysis.
Study results
Patients. The groups were comparable with regard to baseline demographics and cardiac risk factors.
The mean age was 63; 29% of the patients were women, and 83% had three-vessel coronary artery disease. The mean hemoglobin A1c was 7.8%, and the mean ejection fraction was 66%. The mean SYNTAX score, which defines the anatomic complexity of lesions, was 26 (≤ 22 is mild, 23–32 is intermediate, and ≥ 33 is high). The mean EURO score, which defines surgical risk, was 2.7 (a score ≥ 5 being associated with a lower rate of survival).
The primary composite outcome (death, nonfatal myocardial infarction, or nonfatal stroke) occurred less frequently in the CABG group than in the PCI group (Table 2). CABG was also associated with significantly lower rates of death from any cause and of myocardial infarction. Importantly, survival curves comparing the two groups diverged at 2-year follow-up. In contrast to other outcomes assessed, stroke occurred more often in the CABG group. The 5-year rates in the CABG group vs the PCI group were:
- Primary outcome—18.7% vs 26.6%, P = .005
- Death from any cause—10.9% vs 16.3%, P = .049
- Myocardial infarction—6% vs 13.9%, P < .0001
- Stroke—5.2% vs 2.4%, P = .03.
The secondary outcome (death, nonfatal myocardial infarction, nonfatal stroke, or repeat revascularization at 30 days or 12 months) had occurred significantly more often in the PCI group than in the CABG group at 1 year (16.8% vs 11.8%, P = .004), with most of the difference attributable to a higher repeat revascularization rate in the PCI group (12.6% vs 4.8%, P < .001).
Subgroup analysis. CABG was superior to PCI across all prespecified subgroups, covering the complexity of the coronary artery disease. Event rates with CABG vs PCI, by tertiles of the SYNTAX score:
- SYNTAX scores ≤ 22: 17.2% vs 23.2%
- SYNTAX scores 23–32: 17.7% vs 27.2%
- SYNTAX scores ≥ 33: 22.8% vs 30.6%.
Cost-effectiveness. Although up-front costs were higher with CABG, at $34,467 for the index hospitalization vs $25,845 for PCI (P < .001), when the in-trial results were extended to a lifetime horizon, CABG had an incremental cost-effectiveness ratio of $8,132 per quality-adjusted life-year gained vs PCI.35 Traditionally, therapies are considered costeffective if the incremental cost-effectiveness ratio is less than $50,000 per quality-adjusted life-year gained.
WHY MAY CABG BE SUPERIOR IN DIABETIC PATIENTS?
The major advantage of CABG over PCI is the ability to achieve complete revascularization. Diabetic patients with coronary artery disease tend to have diffuse, multifocal disease with several stenotic lesions in multiple coronary arteries. While stents only treat the focal area of most significant occlusion, CABG may bypass all proximal vulnerable plaques that could potentially develop into culprit lesions over time, truly bypassing the diseased segments (Figure 1).
In addition, heavy calcification may not allow optimal stenting in these patients.
Use of multiple stents increases the risk of restenosis, which could lead to a higher incidence of myocardial infarction and need for repeat revascularization. This was evident in the FREEDOM trial, in which the mean number of stents per patient was 4.2. Also, some lesions need to be left untreated because of the complexity involved.
The major improvement in outcomes after CABG has resulted from using arterial conduits such as the internal mammary artery rather than the saphenous vein.36 The patency rates of internal mammary artery grafts exceed 80% over 10 years.37 Internal mammary artery grafting was done in 94% of patients receiving CABG in the FREEDOM trial.
WHAT DOES THIS MEAN?
FREEDOM was a landmark trial that confirmed that CABG provides significant benefit compared with contemporary PCI with drug-eluting stents in patients with diabetes mellitus and multivessel coronary artery disease. It was a large multicenter trial that was adequately powered, unlike most of the earlier trials of this topic.
Unlike previous trials in which the benefit of CABG was driven by reduction in repeat revascularizations alone, FREEDOM showed lower incidence rates of all-cause mortality and myocardial infarction with CABG than with PCI. CABG was better regardless of SYNTAX score, number of diseased vessels, ejection fraction, race, or sex of the patient, indicating that it leads to superior outcomes across a wide spectrum of patients.
An argument that cardiologists often cite when recommending PCI is that it can save money due to lower length of index hospital stay and lower procedure costs of with PCI than with CABG. However, in FREEDOM, CABG also appeared to be highly cost-effective.
FREEDOM had limitations
While FREEDOM provided robust data proving the superiority of CABG, the study had several limitations.
Although there was an overall survival benefit with CABG compared with PCI, the difference in incidence of cardiovascular deaths (which accounted for 64% of all deaths) was not statistically significant.
The trial included only patients who were eligible for both PCI and CABG. Hence, the results may not be generalizable to all diabetic patients with multivessel coronary artery disease—indeed, only 10% of those screened were considered eligible for the trial. However, it is likely that several patients screened in the FREEDOM trial may not have been eligible for PCI or CABG at the time of screening, since the revascularization decision was made by a multidisciplinary team and a more appropriate decision (either CABG or PCI) was then made.
Other factors limiting the general applicability of the results were low numbers of female patients (28.6%), black patients (6.3%), patients with an ejection fraction of 40% or less (2.5%), and patients with a low SYNTAX score (35%).
There were several unexplained observations as well. The difference in events between the treatment groups was much higher in North America than in other regions. The number of coronary lesions in the CABG group was high (mean = 5.74), but the average numbers of grafts used was only 2.9, and data were not provided regarding use of sequential grafting. Similarly, an average of only 3.5 of the six stenotic lesions per patient in the PCI group were revascularized; whether this was the result of procedural limitations with PCI was not entirely clear.
In addition, while the investigators mention that an average patient received four stents, a surprising finding was that the mean total length of the stents used was only 26 mm. This appears too small, as the usual length of one drug-eluting stent is about 20 to 30 mm.
Since only high-volume centers with good outcome data were included in the trial, the results may lack validity for patients undergoing revascularization at low-volume community centers.
It remains to be seen if the benefits of CABG will be sustained over 10 years and longer, when saphenous vein grafts tend to fail and require repeat revascularization, commonly performed with PCI. Previous data suggest that the longer the follow-up, the better the results with CABG. However, long-term results (> 10 years) in studies comparing drugeluting stents and CABG are not available.
Despite limitations, FREEDOM may change clinical practice
Despite these limitations, the FREEDOM trial has the potential to change clinical practice and strengthen current recommendations for CABG in these patients.
The trial underscored the importance of a multidisciplinary heart team approach in managing patients with complex coronary artery disease, similar to that being used in patients with severe aortic stenosis since transcatheter aortic valve replacement became available.
It should also bring an end to the practice of ad hoc PCI, especially in patients with diabetes and multivessel coronary artery disease. It is now imperative that physicians discuss current evidence for therapeutic options with the patients and their families before performing diagnostic angiography rather than immediately afterward, to give the patients ample time to make an informed decision. This is important, as most patients are likely to choose PCI in the same setting over CABG unless there is extensive discussion about the risks and benefits of both strategies done in an unbiased manner before angiography.
The fear of open heart surgery, a longer hospital stay, and a higher risk of stroke with CABG may lead some patients to choose PCI instead. In addition, factors that may preclude CABG in otherwise-eligible patients include anatomic considerations (diffuse distal vessel disease, poor conduits), individual factors (frailty, poor renal function, poor pulmonary function, patient preference), and local expertise.
Nevertheless, the patient should be presented with current evidence, and discussions regarding the optimal procedure should be held with a heart team, which should include an interventional cardiologist, a cardiothoracic surgeon, and a noninvasive cardiologist to facilitate an unbiased decision.
Regardless of the strategy chosen, the importance of compliance with optimal medical therapy (statins, antiplatelet agents, diabetes treatment) should be continuously emphasized to the patient.
WHAT DOES THE FUTURE HOLD?
Despite unequivocal evidence that CABG is superior to PCI in eligible patients with diabetes mellitus in the current era, PCI technologies continue to evolve rapidly. Newer second-generation drug-eluting stents have shown lower rates of restenosis38,39 and may shorten the duration of post-PCI dual-antiplatelet therapy, a nuisance that has negatively affected outcomes with drug-eluting stents (because of problems of cost, poor compliance, and increased bleeding risk).
At the same time, CABG has also improved, with more extensive use of complete arterial conduits and use of an off-pump bypass technique that in theory poses a lower risk of stroke, although this has not yet been shown in a randomized trial.40
Alternative approaches are being investigated. One of them is a hybrid procedure in which minimally invasive off-pump arterial grafting is combined with drug-eluting stents, which may reduce the risk of stroke and speed postoperative recovery.
Many patients with diabetes mellitus develop complex, accelerated, multifocal coronary artery disease. Moreover, if they undergo revascularization with either coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI), their risk of morbidity and death afterward is higher than in those without diabetes.1,2
Over the last 2 decades, CABG and PCI have advanced significantly, as have antithrombotic therapy and drug therapies to modify cardiovascular risk factors such as hyperlipidemia, hypertension, and diabetes.
Several earlier studies showed CABG to be more beneficial than PCI in diabetic patients with multivessel coronary artery disease.3–5 However, the topic has been controversial, and a substantial proportion of these patients continue to undergo PCI rather than CABG.
There are two main reasons for the continued use of PCI in this population. First, PCI is evolving, with new adjuvant drugs and drugeluting stents. Many cardiologists believe that earlier trials, which did not use contemporary PCI techniques, are outdated and that current, state-of-the-art PCI may be equivalent to—if not superior to—CABG.
Second, PCI is often performed on an ad hoc basis immediately after diagnostic angiography, leaving little time for discussion with the patient about alternative treatments. In this scenario, patients are inclined to undergo PCI immediately, while they are already on the table in the catheterization suite, rather than CABG at a later date.6
In addition, although the current joint guide-lines of the American College of Cardiology and the American Heart Association state that CABG is preferable to PCI for patients with diabetes and multivessel coronary artery disease, they give it only a level IIa recommendation.7
The much-anticipated Future Revascularization Evaluation in Patients With Diabetes Mellitus: Optimal Management of Multivessel Disease (FREEDOM) trial8 was designed to settle the CABG-vs-PCI debate, thereby leading to a stronger guideline recommendation for the preferred revascularization strategy in this patient population.
WHY ARE DIABETIC PATIENTS DIFFERENT?
Diabetes mellitus is a major risk factor for premature and aggressive coronary artery disease. Several mechanisms have been proposed to explain this association.
Diabetic patients have higher concentrations of several inflammatory proteins than those without diabetes, including C-reactive protein, tumor necrosis factor, and platelet-derived soluble CD40 ligand. They also have higher levels of adhesion molecules such as vascular cell adhesion molecule-1 and intercellular adhesion molecule.9,10 In addition, when blood sugar levels are high, platelets express more glycoprotein IIb/IIIa receptors and are therefore more prone to aggregate.11
These prothrombotic and proinflammatory cytokines, in conjunction with endothelial dysfunction and metabolic disorders such as hyperglycemia, hyperlipidemia, obesity, insulin resistance, and oxidative stress, lead to accelerated atherosclerosis in patients with diabetes.12 Also, because diabetes is a systemic disease, the atherosclerotic process is diffuse, and many patients with diabetes have left main coronary artery lesions and diffuse multivessel coronary artery disease.13,14
Although the short-term outcomes of revascularization by any means are comparable in patients with and without diabetes, diabetic patients have lower long-term survival rates and higher rates of myocardial infarction and need for repeat procedures.15 Diabetic patients who undergo PCI have a high rate of stent thrombosis and restenosis.16,17 Similarly, those undergoing CABG have higher rates of postoperative infection and renal and neurologic complications.18,19
BEFORE THE FREEDOM TRIAL
The question of CABG vs PCI has plagued physicians ever since PCI came to the forefront in the 1980s. Before stents were widely used, PCI with balloon angioplasty was known to be comparable to CABG for single-vessel disease, but whether it was beneficial in patients with multivessel disease or left main disease was not entirely evident. Randomized clinical trials were launched to answer the question.
Studies of balloon angioplasty vs CABG
The BARI trial (Bypass Angioplasty Revascularization Investigation),5,20 published in 1996, compared PCI (using balloon angioplasty without a stent) and CABG in patients with multivessel coronary artery disease (Table 120–29).
Between 1988 and 1991, the trial randomly assigned 1,829 patients with multivessel disease to receive either PCI or CABG and compared their long-term outcomes. Although there was no difference in mortality rates between the two groups overall, the diabetic subgroup had a significantly better survival rate with CABG than with PCI, which was sustained over a follow-up period of 10 years.5
BARI had a significant clinical impact at the time and led to a clinical alert by the National Heart, Lung, and Blood Institute recommending CABG over PCI for patients with diabetes. However, not everyone accepted the results, because they were based on a small number of patients (n = 353) in a retrospectively determined subgroup. Further, the BARI trial was conducted before the advent of coronary stents, which were later shown to improve outcomes after PCI. Also, optimal medical therapy after revascularization was not specified in the protocol, which likely affected outcomes.
EAST (Emory Angioplasty Versus Surgery Trial)21 and CABRI (Coronary Angioplasty Versus Bypass Revascularization Investigation) 22 were similar randomized trials comparing angioplasty and CABG in patients with multivessel coronary artery disease. These showed better outcomes after CABG in patients with diabetes. However, lack of statistical significance because of small sample sizes limited their clinical impact.
Studies of PCI with bare-metal stents vs CABG
The ARTS trial (Arterial Revascularization Therapy Study) compared PCI (with bare-metal stents) and CABG in 1,205 patients with multivessel coronary artery disease.23 The mortality rate did not differ significantly between two treatment groups overall or in the diabetic subgroup. However, the repeat revascularization rate was higher with PCI than with CABG.
The SoS trial (Stenting or Surgery)24 had similar results.
The ERACI II trial (Argentine Randomized Study: Coronary Angioplasty With Stenting Versus Coronary Bypass Surgery in Multi-Vessel Disease)25 found no difference in mortality rates at 5 years with CABG vs PCI.
These trials were criticized, as none of them routinely used glycoprotein IIb/IIIa inhibitors with PCI, which by then had been shown to reduce mortality rates.30 However, these trials made it clear that restenosis requiring repeat revascularization was a major disadvantage of PCI with bare-metal stents compared with CABG in patients with diabetes. Drug-eluting stents, which significantly reduced the rates of in-stent restenosis and target-lesion revascularization, were expected to overcome this major disadvantage.
Studies of PCI with drug-eluting stents vs CABG
ARTS II was the first trial to compare PCI with drug-eluting stents vs CABG. This was a nonrandomized single-arm study of 607 patients (including 159 with diabetes) who were treated with drug-eluting stents; the outcomes were compared with the CABG group from the earlier ARTS trial.31
At 3 years, in the diabetic subgroup, the rates of death, myocardial infarction, and stroke were not significantly different between treatments, although a trend favored PCI. However, this comparison was limited by selection bias, as ARTS II was a nonrandomized trial in which operators chose patients for drug-eluting stents in an attempt to match already known outcomes from the CABG cohort of ARTS.
SYNTAX (Synergy Between PCI With Taxus and Cardiac Surgery) was the first randomized trial comparing PCI with drug-eluting stents (in this trial, paclitaxel-eluting) vs CABG in patients with three-vessel or left main coronary artery disease.26,27 Subgroup analysis in patients with diabetes mellitus revealed a higher rate of major adverse cardiac and cerebrovascular events (death, myocardial infarction, stroke, or repeat revascularization) in the PCI group than in the CABG patients, largely driven by higher rates of repeat revascularization after PCI.32,33 SYNTAX was not designed to assess significant differences in rates of death.
The CARDIa trial (Coronary Artery Revascularization in Diabetes) randomized patients with diabetes and multivessel coronary artery disease to PCI (about one-third with bare-metal stents and two-thirds with drug-eluting stents) or CABG. Rates of major adverse cardiac and cerebrovascular events were higher in the PCI group, again largely driven by higher rates of repeat revascularization.4 CARDIa was stopped early because of a lack of enrollment and could not provide sufficient evidence to endorse one strategy over the other.
VA-CARDS (Veteran Affairs Coronary Artery Revascularization in Diabetes) randomized patients with diabetes and proximal left anterior descending artery or multivessel coronary artery disease to receive PCI with drug-eluting stents or CABG.28 Although the rate of death was lower with CABG than with PCI at 2 years, the trial was underpowered and was terminated at 25% of the initial intended patient enrollment. In addition, only 9% of diabetic patients screened were angiographically eligible for the study.29
Registry data. Analysis of a large data set from the National Cardiovascular Disease Registry and the Society of Thoracic Surgeons revealed a survival advantage of CABG over PCI for a follow-up period of 5 years.34 However, this was a nonrandomized study, so its conclusions were not definitive.
THE FREEDOM TRIAL
Given the limitations of the trials described above, the National Heart, Lung, and Blood Institute sponsored the FREEDOM trial—an appropriately powered, randomized comparison of PCI (with drug-eluting stents) and CABG (using arterial grafting) in patients with diabetes and multivessel coronary artery disease using contemporary techniques and concomitant optimal medical therapy.8
FREEDOM study design
The FREEDOM trial enrolled 1,900 patients with diabetes and angiographically confirmed multivessel coronary artery disease (83% with three-vessel disease) with stenosis of more than 70% in two or more major epicardial vessels involving at least two separate coronary-artery territories. The main exclusion criteria were severe left main coronary artery stenosis (≥ 50% stenosis), class III or IV congestive heart failure, and previous CABG or valve surgery. For CABG surgery, arterial revascularization was encouraged.
Dual antiplatelet therapy was recommended for at least 12 months in patients receiving a drug-eluting stent, and optimal medical management for diabetes, hypertension, and hyperlipidemia was strongly advocated.
Between April 2005 and April 2010, 32,966 patients were screened, of whom 3,309 were eligible for the trial and 1,900 consented and were randomized (953 to the PCI group and 947 to the CABG group). The patients were followed for a minimum of 2 years and had a median follow-up time of 3.8 years. Outcomes were measured with an intention-to-treat analysis.
Study results
Patients. The groups were comparable with regard to baseline demographics and cardiac risk factors.
The mean age was 63; 29% of the patients were women, and 83% had three-vessel coronary artery disease. The mean hemoglobin A1c was 7.8%, and the mean ejection fraction was 66%. The mean SYNTAX score, which defines the anatomic complexity of lesions, was 26 (≤ 22 is mild, 23–32 is intermediate, and ≥ 33 is high). The mean EURO score, which defines surgical risk, was 2.7 (a score ≥ 5 being associated with a lower rate of survival).
The primary composite outcome (death, nonfatal myocardial infarction, or nonfatal stroke) occurred less frequently in the CABG group than in the PCI group (Table 2). CABG was also associated with significantly lower rates of death from any cause and of myocardial infarction. Importantly, survival curves comparing the two groups diverged at 2-year follow-up. In contrast to other outcomes assessed, stroke occurred more often in the CABG group. The 5-year rates in the CABG group vs the PCI group were:
- Primary outcome—18.7% vs 26.6%, P = .005
- Death from any cause—10.9% vs 16.3%, P = .049
- Myocardial infarction—6% vs 13.9%, P < .0001
- Stroke—5.2% vs 2.4%, P = .03.
The secondary outcome (death, nonfatal myocardial infarction, nonfatal stroke, or repeat revascularization at 30 days or 12 months) had occurred significantly more often in the PCI group than in the CABG group at 1 year (16.8% vs 11.8%, P = .004), with most of the difference attributable to a higher repeat revascularization rate in the PCI group (12.6% vs 4.8%, P < .001).
Subgroup analysis. CABG was superior to PCI across all prespecified subgroups, covering the complexity of the coronary artery disease. Event rates with CABG vs PCI, by tertiles of the SYNTAX score:
- SYNTAX scores ≤ 22: 17.2% vs 23.2%
- SYNTAX scores 23–32: 17.7% vs 27.2%
- SYNTAX scores ≥ 33: 22.8% vs 30.6%.
Cost-effectiveness. Although up-front costs were higher with CABG, at $34,467 for the index hospitalization vs $25,845 for PCI (P < .001), when the in-trial results were extended to a lifetime horizon, CABG had an incremental cost-effectiveness ratio of $8,132 per quality-adjusted life-year gained vs PCI.35 Traditionally, therapies are considered costeffective if the incremental cost-effectiveness ratio is less than $50,000 per quality-adjusted life-year gained.
WHY MAY CABG BE SUPERIOR IN DIABETIC PATIENTS?
The major advantage of CABG over PCI is the ability to achieve complete revascularization. Diabetic patients with coronary artery disease tend to have diffuse, multifocal disease with several stenotic lesions in multiple coronary arteries. While stents only treat the focal area of most significant occlusion, CABG may bypass all proximal vulnerable plaques that could potentially develop into culprit lesions over time, truly bypassing the diseased segments (Figure 1).
In addition, heavy calcification may not allow optimal stenting in these patients.
Use of multiple stents increases the risk of restenosis, which could lead to a higher incidence of myocardial infarction and need for repeat revascularization. This was evident in the FREEDOM trial, in which the mean number of stents per patient was 4.2. Also, some lesions need to be left untreated because of the complexity involved.
The major improvement in outcomes after CABG has resulted from using arterial conduits such as the internal mammary artery rather than the saphenous vein.36 The patency rates of internal mammary artery grafts exceed 80% over 10 years.37 Internal mammary artery grafting was done in 94% of patients receiving CABG in the FREEDOM trial.
WHAT DOES THIS MEAN?
FREEDOM was a landmark trial that confirmed that CABG provides significant benefit compared with contemporary PCI with drug-eluting stents in patients with diabetes mellitus and multivessel coronary artery disease. It was a large multicenter trial that was adequately powered, unlike most of the earlier trials of this topic.
Unlike previous trials in which the benefit of CABG was driven by reduction in repeat revascularizations alone, FREEDOM showed lower incidence rates of all-cause mortality and myocardial infarction with CABG than with PCI. CABG was better regardless of SYNTAX score, number of diseased vessels, ejection fraction, race, or sex of the patient, indicating that it leads to superior outcomes across a wide spectrum of patients.
An argument that cardiologists often cite when recommending PCI is that it can save money due to lower length of index hospital stay and lower procedure costs of with PCI than with CABG. However, in FREEDOM, CABG also appeared to be highly cost-effective.
FREEDOM had limitations
While FREEDOM provided robust data proving the superiority of CABG, the study had several limitations.
Although there was an overall survival benefit with CABG compared with PCI, the difference in incidence of cardiovascular deaths (which accounted for 64% of all deaths) was not statistically significant.
The trial included only patients who were eligible for both PCI and CABG. Hence, the results may not be generalizable to all diabetic patients with multivessel coronary artery disease—indeed, only 10% of those screened were considered eligible for the trial. However, it is likely that several patients screened in the FREEDOM trial may not have been eligible for PCI or CABG at the time of screening, since the revascularization decision was made by a multidisciplinary team and a more appropriate decision (either CABG or PCI) was then made.
Other factors limiting the general applicability of the results were low numbers of female patients (28.6%), black patients (6.3%), patients with an ejection fraction of 40% or less (2.5%), and patients with a low SYNTAX score (35%).
There were several unexplained observations as well. The difference in events between the treatment groups was much higher in North America than in other regions. The number of coronary lesions in the CABG group was high (mean = 5.74), but the average numbers of grafts used was only 2.9, and data were not provided regarding use of sequential grafting. Similarly, an average of only 3.5 of the six stenotic lesions per patient in the PCI group were revascularized; whether this was the result of procedural limitations with PCI was not entirely clear.
In addition, while the investigators mention that an average patient received four stents, a surprising finding was that the mean total length of the stents used was only 26 mm. This appears too small, as the usual length of one drug-eluting stent is about 20 to 30 mm.
Since only high-volume centers with good outcome data were included in the trial, the results may lack validity for patients undergoing revascularization at low-volume community centers.
It remains to be seen if the benefits of CABG will be sustained over 10 years and longer, when saphenous vein grafts tend to fail and require repeat revascularization, commonly performed with PCI. Previous data suggest that the longer the follow-up, the better the results with CABG. However, long-term results (> 10 years) in studies comparing drugeluting stents and CABG are not available.
Despite limitations, FREEDOM may change clinical practice
Despite these limitations, the FREEDOM trial has the potential to change clinical practice and strengthen current recommendations for CABG in these patients.
The trial underscored the importance of a multidisciplinary heart team approach in managing patients with complex coronary artery disease, similar to that being used in patients with severe aortic stenosis since transcatheter aortic valve replacement became available.
It should also bring an end to the practice of ad hoc PCI, especially in patients with diabetes and multivessel coronary artery disease. It is now imperative that physicians discuss current evidence for therapeutic options with the patients and their families before performing diagnostic angiography rather than immediately afterward, to give the patients ample time to make an informed decision. This is important, as most patients are likely to choose PCI in the same setting over CABG unless there is extensive discussion about the risks and benefits of both strategies done in an unbiased manner before angiography.
The fear of open heart surgery, a longer hospital stay, and a higher risk of stroke with CABG may lead some patients to choose PCI instead. In addition, factors that may preclude CABG in otherwise-eligible patients include anatomic considerations (diffuse distal vessel disease, poor conduits), individual factors (frailty, poor renal function, poor pulmonary function, patient preference), and local expertise.
Nevertheless, the patient should be presented with current evidence, and discussions regarding the optimal procedure should be held with a heart team, which should include an interventional cardiologist, a cardiothoracic surgeon, and a noninvasive cardiologist to facilitate an unbiased decision.
Regardless of the strategy chosen, the importance of compliance with optimal medical therapy (statins, antiplatelet agents, diabetes treatment) should be continuously emphasized to the patient.
WHAT DOES THE FUTURE HOLD?
Despite unequivocal evidence that CABG is superior to PCI in eligible patients with diabetes mellitus in the current era, PCI technologies continue to evolve rapidly. Newer second-generation drug-eluting stents have shown lower rates of restenosis38,39 and may shorten the duration of post-PCI dual-antiplatelet therapy, a nuisance that has negatively affected outcomes with drug-eluting stents (because of problems of cost, poor compliance, and increased bleeding risk).
At the same time, CABG has also improved, with more extensive use of complete arterial conduits and use of an off-pump bypass technique that in theory poses a lower risk of stroke, although this has not yet been shown in a randomized trial.40
Alternative approaches are being investigated. One of them is a hybrid procedure in which minimally invasive off-pump arterial grafting is combined with drug-eluting stents, which may reduce the risk of stroke and speed postoperative recovery.
- Flaherty JD, Davidson CJ. Diabetes and coronary revascularization. JAMA 2005; 293:1501–1508.
- Nicholls SJ, Tuzcu EM, Kalidindi S, et al. Effect of diabetes on progression of coronary atherosclerosis and arterial remodeling: a pooled analysis of 5 intravascular ultrasound trials. J Am Coll Cardiol 2008; 52:255–262.
- Mack MJ, Banning AP, Serruys PW, et al. Bypass versus drug-eluting stents at three years in SYNTAX patients with diabetes mellitus or metabolic syndrome. Ann Thorac Surg 2011; 92:2140–2146.
- Kapur A, Hall RJ, Malik IS, et al. Randomized comparison of percutaneous coronary intervention with coronary artery bypass grafting in diabetic patients. 1-year results of the CARDia (Coronary Artery Revascularization in Diabetes) trial. J Am Coll Cardiol 2010; 55:432–440.
- The final 10-year follow-up results from the BARI randomized trial. J Am Coll Cardiol 2007; 49:1600–1606.
- Hlatky MA. Compelling evidence for coronary-bypass surgery in patients with diabetes. N Engl J Med 2012; 367:2437–2438.
- Levine GN, Bates ER, Blankenship JC, et al. 2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Society for Cardiovascular Angiography and Interventions. Circulation 2011; 124:2574–2609.
- Farkouh ME, Domanski M, Sleeper LA, et al. Strategies for multivessel revascularization in patients with diabetes. N Engl J Med 2012; 367:2375–2384.
- Moreno PR, Murcia AM, Palacios IF, et al. Coronary composition and macrophage infiltration in atherectomy specimens from patients with diabetes mellitus. Circulation 2000; 102:2180–2184.
- Bluher M, Unger R, Rassoul F, et al. Relation between glycaemic control, hyperinsulinaemia and plasma concentrations of soluble adhesion molecules in patients with impaired glucose tolerance or type II diabetes. Diabetologia 2002; 45:210–216.
- Creager MA, Luscher TF, Cosentino F, Beckman JA. Diabetes and vascular disease: pathophysiology, clinical consequences, and medical therapy: part I. Circulation 2003; 108:1527–1532.
- Biondi-Zoccai GG, Abbate A, Liuzzo G, Biasucci LM. Atherothrombosis, inflammation, and diabetes. J Am Coll Cardiol 2003; 41:1071–1077.
- Waller BF, Palumbo PJ, Lie JT, Roberts WC. Status of the coronary arteries at necropsy in diabetes mellitus with onset after age 30 years. Analysis of 229 diabetic patients with and without clinical evidence of coronary heart disease and comparison to 183 control subjects. Am J Med 1980; 69:498–506.
- Morrish NJ, Stevens LK, Head J, et al. A prospective study of mortality among middle-aged diabetic patients (the London Cohort of the WHO Multinational Study of Vascular Disease in Diabetics) I: causes and death rates. Diabetologia 1990; 33:538–541.
- Laskey WK, Selzer F, Vlachos HA, et al. Comparison of in-hospital and one-year outcomes in patients with and without diabetes mellitus undergoing percutaneous catheter intervention (from the National Heart, Lung, and Blood Institute Dynamic Registry). Am J Cardiol 2002; 90:1062–1067.
- Mathew V, Gersh BJ, Williams BA, et al. Outcomes in patients with diabetes mellitus undergoing percutaneous coronary intervention in the current era: a report from the Prevention of REStenosis with Tranilast and its Outcomes (PRESTO) trial. Circulation 2004; 109:476–480.
- Glaser R, Selzer F, Faxon DP, et al. Clinical progression of incidental, asymptomatic lesions discovered during culprit vessel coronary intervention. Circulation 2005; 111:143–149.
- Morricone L, Ranucci M, Denti S, et al. Diabetes and complications after cardiac surgery: comparison with a non-diabetic population. Acta Diabetologica 1999; 36:77–84.
- Hogue CW, Murphy SF, Schechtman KB, Davila-Roman VG. Risk factors for early or delayed stroke after cardiac surgery. Circulation 1999; 100:642–647.
- The Bypass Angioplasty Revascularization Investigation (BARI) Investigators. Comparison of coronary bypass surgery with angioplasty in patients with multivessel disease. N Engl J Med 1996; 335:217–225.
- King SB, Kosinski AS, Guyton RA, Lembo NJ, Weintraub WS. Eightyear mortality in the Emory Angioplasty versus Surgery Trial (East). J Am Coll Cardiol 2000; 35:1116–1121.
- Kurbaan AS, Bowker TJ, Ilsley CD, Sigwart U, Rickards AF; CABRI Investigators (Coronary Angioplasty versus Bypass Revascularization Investigation). Difference in the mortality of the CABRI diabetic and nondiabetic populations and its relation to coronary artery disease and the revascularization mode. Am J Cardiol 2001; 87:947–950.
- Serruys PW, Ong AT, van Herwerden LA, et al. Five-year outcomes after coronary stenting versus bypass surgery for the treatment of multivessel disease: the final analysis of the Arterial Revascularization Therapies Study (ARTS) randomized trial. J Am Coll Cardiol 2005; 46:575–581.
- Booth J, Clayton T, Pepper J, et al. Randomized, controlled trial of coronary artery bypass surgery versus percutaneous coronary intervention in patients with multivessel coronary artery disease: six-year follow-up from the Stent or Surgery Trial (SoS). Circulation 2008; 118:381–388.
- Rodriguez AE, Baldi J, Fernandez Pereira C, et al. Five-year follow-up of the Argentine randomized trial of coronary angioplasty with stenting versus coronary bypass surgery in patients with multiple vessel disease (ERACI II). J Am Coll Cardiol 2005; 46:582–588.
- Serruys PW, Morice MC, Kappetein AP, et al. Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease. N Engl J Med 2009; 360:961–972.
- Mohr FW, Morice MC, Kappetein AP, et al. Coronary artery bypass graft surgery versus percutaneous coronary intervention in patients with three-vessel disease and left main coronary disease: 5-year follow-up of the randomised, clinical SYNTAX trial. Lancet 2013; 381:629–638.
- Kamalesh M, Sharp TG, Tang XC, et al. Percutaneous coronary intervention versus coronary bypass surgery in United States veterans with diabetes. J Am Coll Cardiol 2013; 61:808–816.
- Ellis SG. Coronary revascularization for patients with diabetes: updated data favor coronary artery bypass grafting. J Am Coll Cardiol 2013; 61:817–819.
- Bhatt DL, Marso SP, Lincoff AM, et al. Abciximab reduces mortality in diabetics following percutaneous coronary intervention. J Am Coll Cardiol 2000; 35:922–928.
- Serruys PW, Ong AT, Morice MC, et al. Arterial Revascularisation Therapies Study Part II - Sirolimus-eluting stents for the treatment of patients with multivessel de novo coronary artery lesions. EuroIntervention 2005; 1:147–156.
- Kappetein AP, Head SJ, Morice MC, et al. Treatment of complex coronary artery disease in patients with diabetes: 5-year results comparing outcomes of bypass surgery and percutaneous coronary intervention in the SYNTAX trial. Eur J Cardiothorac Surg 2013; 43:1006–1013.
- Banning AP, Westaby S, Morice MC, et al. Diabetic and nondiabetic patients with left main and/or 3-vessel coronary artery disease: comparison of outcomes with cardiac surgery and paclitaxel-eluting stents. J Am Coll Cardiol 2010; 55:1067–1075.
- Weintraub WS, Grau-Sepulveda MV, Weiss JM, et al. Comparative effectiveness of revascularization strategies. N Engl J Med 2012; 366:1467–1476.
- Magnuson EA, Farkouh ME, Fuster V, et al; FREEDOM Trial Investigators. Cost-effectiveness of percutaneous coronary intervention with drug eluting stents versus bypass surgery for patients with diabetes and multivessel coronary artery disease: results from the FREEDOM trial. Circulation 2013; 127:820–831.
- Loop FD, Lytle BW, Cosgrove DM, et al. Influence of the internal-mammary-artery graft on 10-year survival and other cardiac events. N Engl J Med 1986; 314:1–6.
- Tector AJ, Schmahl TM, Janson B, et al. The internal mammary artery graft. Its longevity after coronary bypass. JAMA 1981; 246:2181–2183.
- Stone GW, Rizvi A, Newman W, et al. Everolimus-eluting versus paclitax-eleluting stents in coronary artery disease. N Engl J Med 2010; 362:1663–1674.
- Serruys PW, Silber S, Garg S, et al. Comparison of zotarolimus-eluting and everolimus-eluting coronary stents. N Engl J Med 2010; 363:136–146.
- Lamy A, Devereaux PJ, Prabhakaran D, et al. Off-pump or on-pump coronary-artery bypass grafting at 30 days. N Engl J Med 2012; 366:1489–1497.
- Flaherty JD, Davidson CJ. Diabetes and coronary revascularization. JAMA 2005; 293:1501–1508.
- Nicholls SJ, Tuzcu EM, Kalidindi S, et al. Effect of diabetes on progression of coronary atherosclerosis and arterial remodeling: a pooled analysis of 5 intravascular ultrasound trials. J Am Coll Cardiol 2008; 52:255–262.
- Mack MJ, Banning AP, Serruys PW, et al. Bypass versus drug-eluting stents at three years in SYNTAX patients with diabetes mellitus or metabolic syndrome. Ann Thorac Surg 2011; 92:2140–2146.
- Kapur A, Hall RJ, Malik IS, et al. Randomized comparison of percutaneous coronary intervention with coronary artery bypass grafting in diabetic patients. 1-year results of the CARDia (Coronary Artery Revascularization in Diabetes) trial. J Am Coll Cardiol 2010; 55:432–440.
- The final 10-year follow-up results from the BARI randomized trial. J Am Coll Cardiol 2007; 49:1600–1606.
- Hlatky MA. Compelling evidence for coronary-bypass surgery in patients with diabetes. N Engl J Med 2012; 367:2437–2438.
- Levine GN, Bates ER, Blankenship JC, et al. 2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention: executive summary: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Society for Cardiovascular Angiography and Interventions. Circulation 2011; 124:2574–2609.
- Farkouh ME, Domanski M, Sleeper LA, et al. Strategies for multivessel revascularization in patients with diabetes. N Engl J Med 2012; 367:2375–2384.
- Moreno PR, Murcia AM, Palacios IF, et al. Coronary composition and macrophage infiltration in atherectomy specimens from patients with diabetes mellitus. Circulation 2000; 102:2180–2184.
- Bluher M, Unger R, Rassoul F, et al. Relation between glycaemic control, hyperinsulinaemia and plasma concentrations of soluble adhesion molecules in patients with impaired glucose tolerance or type II diabetes. Diabetologia 2002; 45:210–216.
- Creager MA, Luscher TF, Cosentino F, Beckman JA. Diabetes and vascular disease: pathophysiology, clinical consequences, and medical therapy: part I. Circulation 2003; 108:1527–1532.
- Biondi-Zoccai GG, Abbate A, Liuzzo G, Biasucci LM. Atherothrombosis, inflammation, and diabetes. J Am Coll Cardiol 2003; 41:1071–1077.
- Waller BF, Palumbo PJ, Lie JT, Roberts WC. Status of the coronary arteries at necropsy in diabetes mellitus with onset after age 30 years. Analysis of 229 diabetic patients with and without clinical evidence of coronary heart disease and comparison to 183 control subjects. Am J Med 1980; 69:498–506.
- Morrish NJ, Stevens LK, Head J, et al. A prospective study of mortality among middle-aged diabetic patients (the London Cohort of the WHO Multinational Study of Vascular Disease in Diabetics) I: causes and death rates. Diabetologia 1990; 33:538–541.
- Laskey WK, Selzer F, Vlachos HA, et al. Comparison of in-hospital and one-year outcomes in patients with and without diabetes mellitus undergoing percutaneous catheter intervention (from the National Heart, Lung, and Blood Institute Dynamic Registry). Am J Cardiol 2002; 90:1062–1067.
- Mathew V, Gersh BJ, Williams BA, et al. Outcomes in patients with diabetes mellitus undergoing percutaneous coronary intervention in the current era: a report from the Prevention of REStenosis with Tranilast and its Outcomes (PRESTO) trial. Circulation 2004; 109:476–480.
- Glaser R, Selzer F, Faxon DP, et al. Clinical progression of incidental, asymptomatic lesions discovered during culprit vessel coronary intervention. Circulation 2005; 111:143–149.
- Morricone L, Ranucci M, Denti S, et al. Diabetes and complications after cardiac surgery: comparison with a non-diabetic population. Acta Diabetologica 1999; 36:77–84.
- Hogue CW, Murphy SF, Schechtman KB, Davila-Roman VG. Risk factors for early or delayed stroke after cardiac surgery. Circulation 1999; 100:642–647.
- The Bypass Angioplasty Revascularization Investigation (BARI) Investigators. Comparison of coronary bypass surgery with angioplasty in patients with multivessel disease. N Engl J Med 1996; 335:217–225.
- King SB, Kosinski AS, Guyton RA, Lembo NJ, Weintraub WS. Eightyear mortality in the Emory Angioplasty versus Surgery Trial (East). J Am Coll Cardiol 2000; 35:1116–1121.
- Kurbaan AS, Bowker TJ, Ilsley CD, Sigwart U, Rickards AF; CABRI Investigators (Coronary Angioplasty versus Bypass Revascularization Investigation). Difference in the mortality of the CABRI diabetic and nondiabetic populations and its relation to coronary artery disease and the revascularization mode. Am J Cardiol 2001; 87:947–950.
- Serruys PW, Ong AT, van Herwerden LA, et al. Five-year outcomes after coronary stenting versus bypass surgery for the treatment of multivessel disease: the final analysis of the Arterial Revascularization Therapies Study (ARTS) randomized trial. J Am Coll Cardiol 2005; 46:575–581.
- Booth J, Clayton T, Pepper J, et al. Randomized, controlled trial of coronary artery bypass surgery versus percutaneous coronary intervention in patients with multivessel coronary artery disease: six-year follow-up from the Stent or Surgery Trial (SoS). Circulation 2008; 118:381–388.
- Rodriguez AE, Baldi J, Fernandez Pereira C, et al. Five-year follow-up of the Argentine randomized trial of coronary angioplasty with stenting versus coronary bypass surgery in patients with multiple vessel disease (ERACI II). J Am Coll Cardiol 2005; 46:582–588.
- Serruys PW, Morice MC, Kappetein AP, et al. Percutaneous coronary intervention versus coronary-artery bypass grafting for severe coronary artery disease. N Engl J Med 2009; 360:961–972.
- Mohr FW, Morice MC, Kappetein AP, et al. Coronary artery bypass graft surgery versus percutaneous coronary intervention in patients with three-vessel disease and left main coronary disease: 5-year follow-up of the randomised, clinical SYNTAX trial. Lancet 2013; 381:629–638.
- Kamalesh M, Sharp TG, Tang XC, et al. Percutaneous coronary intervention versus coronary bypass surgery in United States veterans with diabetes. J Am Coll Cardiol 2013; 61:808–816.
- Ellis SG. Coronary revascularization for patients with diabetes: updated data favor coronary artery bypass grafting. J Am Coll Cardiol 2013; 61:817–819.
- Bhatt DL, Marso SP, Lincoff AM, et al. Abciximab reduces mortality in diabetics following percutaneous coronary intervention. J Am Coll Cardiol 2000; 35:922–928.
- Serruys PW, Ong AT, Morice MC, et al. Arterial Revascularisation Therapies Study Part II - Sirolimus-eluting stents for the treatment of patients with multivessel de novo coronary artery lesions. EuroIntervention 2005; 1:147–156.
- Kappetein AP, Head SJ, Morice MC, et al. Treatment of complex coronary artery disease in patients with diabetes: 5-year results comparing outcomes of bypass surgery and percutaneous coronary intervention in the SYNTAX trial. Eur J Cardiothorac Surg 2013; 43:1006–1013.
- Banning AP, Westaby S, Morice MC, et al. Diabetic and nondiabetic patients with left main and/or 3-vessel coronary artery disease: comparison of outcomes with cardiac surgery and paclitaxel-eluting stents. J Am Coll Cardiol 2010; 55:1067–1075.
- Weintraub WS, Grau-Sepulveda MV, Weiss JM, et al. Comparative effectiveness of revascularization strategies. N Engl J Med 2012; 366:1467–1476.
- Magnuson EA, Farkouh ME, Fuster V, et al; FREEDOM Trial Investigators. Cost-effectiveness of percutaneous coronary intervention with drug eluting stents versus bypass surgery for patients with diabetes and multivessel coronary artery disease: results from the FREEDOM trial. Circulation 2013; 127:820–831.
- Loop FD, Lytle BW, Cosgrove DM, et al. Influence of the internal-mammary-artery graft on 10-year survival and other cardiac events. N Engl J Med 1986; 314:1–6.
- Tector AJ, Schmahl TM, Janson B, et al. The internal mammary artery graft. Its longevity after coronary bypass. JAMA 1981; 246:2181–2183.
- Stone GW, Rizvi A, Newman W, et al. Everolimus-eluting versus paclitax-eleluting stents in coronary artery disease. N Engl J Med 2010; 362:1663–1674.
- Serruys PW, Silber S, Garg S, et al. Comparison of zotarolimus-eluting and everolimus-eluting coronary stents. N Engl J Med 2010; 363:136–146.
- Lamy A, Devereaux PJ, Prabhakaran D, et al. Off-pump or on-pump coronary-artery bypass grafting at 30 days. N Engl J Med 2012; 366:1489–1497.
KEY POINTS
- Patients with diabetes have a higher prevalence of multivessel coronary artery disease and often have complex, diffuse lesions.
- Bypass surgery is the preferred method of revascularization in appropriately selected patients with diabetes and multivessel coronary artery disease.
- In the FREEDOM trial, only about 10% of the screened patients were eligible for the study, limiting its generalizability; however, this is comparable to exclusion rates in previous large randomized trials.
- When choosing a revascularization method, the physician team needs to discuss the options with the patient before performing diagnostic angiography. The team should include a cardiac surgeon and a cardiologist.
Would you recognize this unusual cause of acute back pain?
› Order an emergent magnetic resonance imaging scan to rule out epidural hematoma for patients with severe focal acute back pain that presents with limb dysesthesia, thoracic radiculopathy, or an unusual clinical course. A
Strength of recommendation (SOR)
A. Good-quality patient-oriented evidence
B. Inconsistent or limited-quality patient-oriented evidence
C. Consensus, usual practice, opinion, disease-oriented evidence, case-series
CASE A 34-year-old, otherwise healthy man presented at our emergency department (ED) complaining of severe, acute,high-thoracic back pain. He had left-sided chest pain radiating to his left arm and nonspecific paresthesias that did not track along a specific dermatome. The pain started 2 days earlier while the patient was lifting a heavy object at work. He was initially seen by his family physician, who diagnosed acute back pain, prescribed a COX-2 selective nonsteroidal anti-inflammatory agent, and advised him to stay home from work. This treatment did not improve the patient’s pain, which became more severe shortly before his arrival in our ED.
On physical examination, we found the patient in general good health, with no evidence of distress. His blood pressure was 128/78 mm Hg, his respiratory rate was 16 breaths/min,and his oral temperature was 36.5°C (97.7°F). An electrocardiogram(EKG) showed a normal sinus rhythm with no evidence of ischemia. Troponin I was 0 ng/mL, and complete blood count,C-reactive protein, and erythrocyte sedimentation rate were within normal range. After observation, the patient was discharged for ambulatory follow-up, with a diagnosis of acute back pain and nonischemic chest pain.
Two days later, the patient returned to the ED. He said that the pain had not gotten better, and he reported the gradual development of numbness in both legs, along with urinary retention. Re-examination revealed an ASIA D paraplegia at T4,with 650 mL postvoid residual urine volume. (ASIA D paraplegia means no sensory loss below the level of the injury and a motorfunction score above 3/5, which indicates active joint movement is possible against gravity but not against resistance.)
An emergent magnetic resonance imaging (MRI) scan was ordered; it revealed a large left-sided epidural mass spanning the length of T4 and T5 vertebrae with severe cord displacement and compression (FIGURE 1). On a T1-weighted MRI, the mass appeared hyperintense only on the periphery,indicating the presence of extracellular methemoglobin—a radiographic manifestation of early subacute hemorrhage.1
Surgery. We started the patient on IV dexamethasone and performed an urgent T3-T5 laminectomy, which revealed a large brown epidural mass adhering to the duramater (FIGURE 2). We removed the mass and sent it to pathology, which confirmed an epidural hematoma.
The patient’s postoperative course was uneventful, and he was discharged from the hospital with complete motor strength in both legs and complete urinary control. The patient rapidly regained all sensory function, and we re-examined him one month postop in our outpatient clinic. He was intact neurologically and completely free of pain and dysesthesia. A follow-up MRI 3 months postop revealed no residual compression or signal abnormalities within the spinal cord.
Diagnosis remains a challenge
Spinal epidural hematoma (SEH) is an uncommon entity, with an estimated incidence of 0.1/100,000 per year.2 Because there are no studies that look at a large series of patients in the literature, our knowledge of the disorder is limited to case reports and small case series.
In most reports, SEH is linked to predisposing factors such as an underlying coagulopathy or anticoagulant therapy, epidural venous malformation, spinal trauma, inflammatory spine disease, pregnancy or neoplastic encroachment, and bleeding into the spinal canal.3 Spontaneous spinal epidural hematoma (SSEH) with no recognizable underlying predisposing factor is even rarer,4 and the paucity of published data makes it difficult to estimate the true incidence.
In the largest study to date, Zhong etal5 found 7 of 30 cases of SSEH were not associated with bleeding risk factors, making the calculated incidence approximately 0.023/100,000 per year. However, it is impossible to estimate how many cases remain undetected because neurological loss does not occur, and the pain is labeled a nonspecific backache that resolves spontaneously.
The typical patient will present with nothing more than severe midline spinal pain located anywhere from the head to the buttocks. Patients with acute onset of axial back pain with no distinguishing signs or symptoms (“red flags”) are seen daily in every practice. Commonly accepted guidelines from the American College of Physicians (ACP) and the American Pain Society (APS) direct the physician away from MRI scanning that can confirm the diagnosis.6
As our patient’s case illustrates, acute pain in the axial spine is a very common complaint, and usually has a benign etiology. Compression of one or more of the exiting thoracic nerve roots can cause thoracic radiculopathy, which might confound the diagnosis even further and lead to an unnecessary cardiothoracic work-up.4 That was the case for our patient. Only when neurological loss is evident will the need for an MRI become clear, and the diagnosis became apparent.
Definitive treatment is elusive
Several authors advocate emergent surgical decompression and evacuation of the hematoma, because the neurological outcome could be catastrophic,7 resulting in complete quadri/paraplegia. This approach is equivocal, however, as spontaneous resolution of neurological symptoms has been described in many cases.1,7-11 Therefore, the decision whether to operate largely depends on the individual’s surgical risk factors and clinical course. In a high-risk patient who is improving neurologically, watchful waiting may be prudent, while in neurologically deteriorating low-risk cases little is lost with immediate surgical decompression.12
The prognosis of SSEH is also difficult to estimate. Several reports confirm that cervical and cervicothoracic hematomas carry a worse prognosis than thoracolumbar and lumbosacral hematomas.3,5 A rapid onset of neurological deterioration (less than12 hours) also heralds graver consequences, as does spinal cord edema on initial MRI.5
Two windows of opportunity
Two time periods stand out as possible course-changing opportunities for clinicians.The first occurs when the patient initially complains of an acute backache. At this point, ACP/APS guidelines direct us to look for red flags that focus attention on the more troubling etiologies for backache.6 Unfortunately, SSEH has no specific red flag, and itis misleading to suggest that such an esoteric diagnosis should routinely be considered.
A better approach would be to look for the unusual: very sharp, acute-onset, highly localized back pain that does not respond well to analgesics (TABLE [developed by NR]),along with any dysesthesia or unusual radicular complaint. A positive l’hermitte sign—anelectrical sensation that runs down the back and into the limbs—on physical examination might also warrant placing SSEH in the differential diagnosis.
The second time when swiftness might be crucial is from diagnosis to surgery. In a neurologically deteriorating patient, time is of utmost importance, and taking action at this juncture can produce a marked difference in the final outcome.3
CORRESPONDENCE
Nimrod Rahamimov, MD, Department of Orthopedics Band Spine Surgery, Western Galilee Hospital, PO Box 21, Naharia 22100, Israel; [email protected]
- Lipton ML. Totally Accessible MRI: A User’s Guide to Principles,Technology, and Applications. New York, NY: Springer; 2008.
- Taniguchi LU, Pahl FH, Lúcio JE, et al. Complete motor recoveryafter acute paraparesis caused by spontaneous spinal epiduralhematoma: case report. BMC Emerg Med. 2011;11:10.
- Binder DK, Sonne DC, Lawton MT. Spinal epidural hematoma.Neurosurg Q. 2004;14:51-59.
- Tsen AR, Burrows AM, Dumont TM, et al. Spinal epidural hematomamasquerading as atypical chest pain. Am J Emerg Med.2011;29:1236.e1-e3.
- Zhong W, Chen H, You C, et al. Spontaneous spinal epidural hematoma. J Clin Neurosci. 2011;18:1490-1494.
- Chou R, Qaseem A, Snow V, et al. Diagnosis and treatment of lowback pain: a joint clinical practice guideline from the AmericanCollege of Physicians and the American Pain Society. Ann Intern Med. 2007;147:478-491.
- Groen RJ. Non-operative treatment of spontaneous spinal epidural hematomas: a review of the literature and a comparison with operative cases. Acta Neurochir (Wien). 2004;146:103-110.
- Subbiah M, Avadhani A, Shetty AP, et al. Acute spontaneouscervical epidural hematoma with neurological deficit after lowmolecular-weight heparin therapy: role of conservative management.Spine J. 2010;10:e11-e15.
- Jang JW, Lee JK, Seo BR, et al. Spontaneous resolution of atraumatic cervicothoracic epidural hematoma presentingwith transient paraplegia: a case report. Spine (Phila Pa 1976). 2010;35:E564-E567.
- Sirin S, Arslan E, Yasar S, et al. Is spontaneous spinal epidural hematoma in elderly patients an emergency surgical case?Turk Neurosurg. 2010;20:557-560.
- Jang JW, Lee JK, Seo BR, et al. Spontaneous resolution of tetraparesis because of postoperative cervical epidural hematoma.Spine J. 2010;10:e1-e5.
- Fleager K, Lee A, Cheng I, et al. Massive spontaneous epidural hematoma in a high-level swimmer: a case report. J Bone Joint Surg Am. 2010;92:2843-2846.
› Order an emergent magnetic resonance imaging scan to rule out epidural hematoma for patients with severe focal acute back pain that presents with limb dysesthesia, thoracic radiculopathy, or an unusual clinical course. A
Strength of recommendation (SOR)
A. Good-quality patient-oriented evidence
B. Inconsistent or limited-quality patient-oriented evidence
C. Consensus, usual practice, opinion, disease-oriented evidence, case-series
CASE A 34-year-old, otherwise healthy man presented at our emergency department (ED) complaining of severe, acute,high-thoracic back pain. He had left-sided chest pain radiating to his left arm and nonspecific paresthesias that did not track along a specific dermatome. The pain started 2 days earlier while the patient was lifting a heavy object at work. He was initially seen by his family physician, who diagnosed acute back pain, prescribed a COX-2 selective nonsteroidal anti-inflammatory agent, and advised him to stay home from work. This treatment did not improve the patient’s pain, which became more severe shortly before his arrival in our ED.
On physical examination, we found the patient in general good health, with no evidence of distress. His blood pressure was 128/78 mm Hg, his respiratory rate was 16 breaths/min,and his oral temperature was 36.5°C (97.7°F). An electrocardiogram(EKG) showed a normal sinus rhythm with no evidence of ischemia. Troponin I was 0 ng/mL, and complete blood count,C-reactive protein, and erythrocyte sedimentation rate were within normal range. After observation, the patient was discharged for ambulatory follow-up, with a diagnosis of acute back pain and nonischemic chest pain.
Two days later, the patient returned to the ED. He said that the pain had not gotten better, and he reported the gradual development of numbness in both legs, along with urinary retention. Re-examination revealed an ASIA D paraplegia at T4,with 650 mL postvoid residual urine volume. (ASIA D paraplegia means no sensory loss below the level of the injury and a motorfunction score above 3/5, which indicates active joint movement is possible against gravity but not against resistance.)
An emergent magnetic resonance imaging (MRI) scan was ordered; it revealed a large left-sided epidural mass spanning the length of T4 and T5 vertebrae with severe cord displacement and compression (FIGURE 1). On a T1-weighted MRI, the mass appeared hyperintense only on the periphery,indicating the presence of extracellular methemoglobin—a radiographic manifestation of early subacute hemorrhage.1
Surgery. We started the patient on IV dexamethasone and performed an urgent T3-T5 laminectomy, which revealed a large brown epidural mass adhering to the duramater (FIGURE 2). We removed the mass and sent it to pathology, which confirmed an epidural hematoma.
The patient’s postoperative course was uneventful, and he was discharged from the hospital with complete motor strength in both legs and complete urinary control. The patient rapidly regained all sensory function, and we re-examined him one month postop in our outpatient clinic. He was intact neurologically and completely free of pain and dysesthesia. A follow-up MRI 3 months postop revealed no residual compression or signal abnormalities within the spinal cord.
Diagnosis remains a challenge
Spinal epidural hematoma (SEH) is an uncommon entity, with an estimated incidence of 0.1/100,000 per year.2 Because there are no studies that look at a large series of patients in the literature, our knowledge of the disorder is limited to case reports and small case series.
In most reports, SEH is linked to predisposing factors such as an underlying coagulopathy or anticoagulant therapy, epidural venous malformation, spinal trauma, inflammatory spine disease, pregnancy or neoplastic encroachment, and bleeding into the spinal canal.3 Spontaneous spinal epidural hematoma (SSEH) with no recognizable underlying predisposing factor is even rarer,4 and the paucity of published data makes it difficult to estimate the true incidence.
In the largest study to date, Zhong etal5 found 7 of 30 cases of SSEH were not associated with bleeding risk factors, making the calculated incidence approximately 0.023/100,000 per year. However, it is impossible to estimate how many cases remain undetected because neurological loss does not occur, and the pain is labeled a nonspecific backache that resolves spontaneously.
The typical patient will present with nothing more than severe midline spinal pain located anywhere from the head to the buttocks. Patients with acute onset of axial back pain with no distinguishing signs or symptoms (“red flags”) are seen daily in every practice. Commonly accepted guidelines from the American College of Physicians (ACP) and the American Pain Society (APS) direct the physician away from MRI scanning that can confirm the diagnosis.6
As our patient’s case illustrates, acute pain in the axial spine is a very common complaint, and usually has a benign etiology. Compression of one or more of the exiting thoracic nerve roots can cause thoracic radiculopathy, which might confound the diagnosis even further and lead to an unnecessary cardiothoracic work-up.4 That was the case for our patient. Only when neurological loss is evident will the need for an MRI become clear, and the diagnosis became apparent.
Definitive treatment is elusive
Several authors advocate emergent surgical decompression and evacuation of the hematoma, because the neurological outcome could be catastrophic,7 resulting in complete quadri/paraplegia. This approach is equivocal, however, as spontaneous resolution of neurological symptoms has been described in many cases.1,7-11 Therefore, the decision whether to operate largely depends on the individual’s surgical risk factors and clinical course. In a high-risk patient who is improving neurologically, watchful waiting may be prudent, while in neurologically deteriorating low-risk cases little is lost with immediate surgical decompression.12
The prognosis of SSEH is also difficult to estimate. Several reports confirm that cervical and cervicothoracic hematomas carry a worse prognosis than thoracolumbar and lumbosacral hematomas.3,5 A rapid onset of neurological deterioration (less than12 hours) also heralds graver consequences, as does spinal cord edema on initial MRI.5
Two windows of opportunity
Two time periods stand out as possible course-changing opportunities for clinicians.The first occurs when the patient initially complains of an acute backache. At this point, ACP/APS guidelines direct us to look for red flags that focus attention on the more troubling etiologies for backache.6 Unfortunately, SSEH has no specific red flag, and itis misleading to suggest that such an esoteric diagnosis should routinely be considered.
A better approach would be to look for the unusual: very sharp, acute-onset, highly localized back pain that does not respond well to analgesics (TABLE [developed by NR]),along with any dysesthesia or unusual radicular complaint. A positive l’hermitte sign—anelectrical sensation that runs down the back and into the limbs—on physical examination might also warrant placing SSEH in the differential diagnosis.
The second time when swiftness might be crucial is from diagnosis to surgery. In a neurologically deteriorating patient, time is of utmost importance, and taking action at this juncture can produce a marked difference in the final outcome.3
CORRESPONDENCE
Nimrod Rahamimov, MD, Department of Orthopedics Band Spine Surgery, Western Galilee Hospital, PO Box 21, Naharia 22100, Israel; [email protected]
› Order an emergent magnetic resonance imaging scan to rule out epidural hematoma for patients with severe focal acute back pain that presents with limb dysesthesia, thoracic radiculopathy, or an unusual clinical course. A
Strength of recommendation (SOR)
A. Good-quality patient-oriented evidence
B. Inconsistent or limited-quality patient-oriented evidence
C. Consensus, usual practice, opinion, disease-oriented evidence, case-series
CASE A 34-year-old, otherwise healthy man presented at our emergency department (ED) complaining of severe, acute,high-thoracic back pain. He had left-sided chest pain radiating to his left arm and nonspecific paresthesias that did not track along a specific dermatome. The pain started 2 days earlier while the patient was lifting a heavy object at work. He was initially seen by his family physician, who diagnosed acute back pain, prescribed a COX-2 selective nonsteroidal anti-inflammatory agent, and advised him to stay home from work. This treatment did not improve the patient’s pain, which became more severe shortly before his arrival in our ED.
On physical examination, we found the patient in general good health, with no evidence of distress. His blood pressure was 128/78 mm Hg, his respiratory rate was 16 breaths/min,and his oral temperature was 36.5°C (97.7°F). An electrocardiogram(EKG) showed a normal sinus rhythm with no evidence of ischemia. Troponin I was 0 ng/mL, and complete blood count,C-reactive protein, and erythrocyte sedimentation rate were within normal range. After observation, the patient was discharged for ambulatory follow-up, with a diagnosis of acute back pain and nonischemic chest pain.
Two days later, the patient returned to the ED. He said that the pain had not gotten better, and he reported the gradual development of numbness in both legs, along with urinary retention. Re-examination revealed an ASIA D paraplegia at T4,with 650 mL postvoid residual urine volume. (ASIA D paraplegia means no sensory loss below the level of the injury and a motorfunction score above 3/5, which indicates active joint movement is possible against gravity but not against resistance.)
An emergent magnetic resonance imaging (MRI) scan was ordered; it revealed a large left-sided epidural mass spanning the length of T4 and T5 vertebrae with severe cord displacement and compression (FIGURE 1). On a T1-weighted MRI, the mass appeared hyperintense only on the periphery,indicating the presence of extracellular methemoglobin—a radiographic manifestation of early subacute hemorrhage.1
Surgery. We started the patient on IV dexamethasone and performed an urgent T3-T5 laminectomy, which revealed a large brown epidural mass adhering to the duramater (FIGURE 2). We removed the mass and sent it to pathology, which confirmed an epidural hematoma.
The patient’s postoperative course was uneventful, and he was discharged from the hospital with complete motor strength in both legs and complete urinary control. The patient rapidly regained all sensory function, and we re-examined him one month postop in our outpatient clinic. He was intact neurologically and completely free of pain and dysesthesia. A follow-up MRI 3 months postop revealed no residual compression or signal abnormalities within the spinal cord.
Diagnosis remains a challenge
Spinal epidural hematoma (SEH) is an uncommon entity, with an estimated incidence of 0.1/100,000 per year.2 Because there are no studies that look at a large series of patients in the literature, our knowledge of the disorder is limited to case reports and small case series.
In most reports, SEH is linked to predisposing factors such as an underlying coagulopathy or anticoagulant therapy, epidural venous malformation, spinal trauma, inflammatory spine disease, pregnancy or neoplastic encroachment, and bleeding into the spinal canal.3 Spontaneous spinal epidural hematoma (SSEH) with no recognizable underlying predisposing factor is even rarer,4 and the paucity of published data makes it difficult to estimate the true incidence.
In the largest study to date, Zhong etal5 found 7 of 30 cases of SSEH were not associated with bleeding risk factors, making the calculated incidence approximately 0.023/100,000 per year. However, it is impossible to estimate how many cases remain undetected because neurological loss does not occur, and the pain is labeled a nonspecific backache that resolves spontaneously.
The typical patient will present with nothing more than severe midline spinal pain located anywhere from the head to the buttocks. Patients with acute onset of axial back pain with no distinguishing signs or symptoms (“red flags”) are seen daily in every practice. Commonly accepted guidelines from the American College of Physicians (ACP) and the American Pain Society (APS) direct the physician away from MRI scanning that can confirm the diagnosis.6
As our patient’s case illustrates, acute pain in the axial spine is a very common complaint, and usually has a benign etiology. Compression of one or more of the exiting thoracic nerve roots can cause thoracic radiculopathy, which might confound the diagnosis even further and lead to an unnecessary cardiothoracic work-up.4 That was the case for our patient. Only when neurological loss is evident will the need for an MRI become clear, and the diagnosis became apparent.
Definitive treatment is elusive
Several authors advocate emergent surgical decompression and evacuation of the hematoma, because the neurological outcome could be catastrophic,7 resulting in complete quadri/paraplegia. This approach is equivocal, however, as spontaneous resolution of neurological symptoms has been described in many cases.1,7-11 Therefore, the decision whether to operate largely depends on the individual’s surgical risk factors and clinical course. In a high-risk patient who is improving neurologically, watchful waiting may be prudent, while in neurologically deteriorating low-risk cases little is lost with immediate surgical decompression.12
The prognosis of SSEH is also difficult to estimate. Several reports confirm that cervical and cervicothoracic hematomas carry a worse prognosis than thoracolumbar and lumbosacral hematomas.3,5 A rapid onset of neurological deterioration (less than12 hours) also heralds graver consequences, as does spinal cord edema on initial MRI.5
Two windows of opportunity
Two time periods stand out as possible course-changing opportunities for clinicians.The first occurs when the patient initially complains of an acute backache. At this point, ACP/APS guidelines direct us to look for red flags that focus attention on the more troubling etiologies for backache.6 Unfortunately, SSEH has no specific red flag, and itis misleading to suggest that such an esoteric diagnosis should routinely be considered.
A better approach would be to look for the unusual: very sharp, acute-onset, highly localized back pain that does not respond well to analgesics (TABLE [developed by NR]),along with any dysesthesia or unusual radicular complaint. A positive l’hermitte sign—anelectrical sensation that runs down the back and into the limbs—on physical examination might also warrant placing SSEH in the differential diagnosis.
The second time when swiftness might be crucial is from diagnosis to surgery. In a neurologically deteriorating patient, time is of utmost importance, and taking action at this juncture can produce a marked difference in the final outcome.3
CORRESPONDENCE
Nimrod Rahamimov, MD, Department of Orthopedics Band Spine Surgery, Western Galilee Hospital, PO Box 21, Naharia 22100, Israel; [email protected]
- Lipton ML. Totally Accessible MRI: A User’s Guide to Principles,Technology, and Applications. New York, NY: Springer; 2008.
- Taniguchi LU, Pahl FH, Lúcio JE, et al. Complete motor recoveryafter acute paraparesis caused by spontaneous spinal epiduralhematoma: case report. BMC Emerg Med. 2011;11:10.
- Binder DK, Sonne DC, Lawton MT. Spinal epidural hematoma.Neurosurg Q. 2004;14:51-59.
- Tsen AR, Burrows AM, Dumont TM, et al. Spinal epidural hematomamasquerading as atypical chest pain. Am J Emerg Med.2011;29:1236.e1-e3.
- Zhong W, Chen H, You C, et al. Spontaneous spinal epidural hematoma. J Clin Neurosci. 2011;18:1490-1494.
- Chou R, Qaseem A, Snow V, et al. Diagnosis and treatment of lowback pain: a joint clinical practice guideline from the AmericanCollege of Physicians and the American Pain Society. Ann Intern Med. 2007;147:478-491.
- Groen RJ. Non-operative treatment of spontaneous spinal epidural hematomas: a review of the literature and a comparison with operative cases. Acta Neurochir (Wien). 2004;146:103-110.
- Subbiah M, Avadhani A, Shetty AP, et al. Acute spontaneouscervical epidural hematoma with neurological deficit after lowmolecular-weight heparin therapy: role of conservative management.Spine J. 2010;10:e11-e15.
- Jang JW, Lee JK, Seo BR, et al. Spontaneous resolution of atraumatic cervicothoracic epidural hematoma presentingwith transient paraplegia: a case report. Spine (Phila Pa 1976). 2010;35:E564-E567.
- Sirin S, Arslan E, Yasar S, et al. Is spontaneous spinal epidural hematoma in elderly patients an emergency surgical case?Turk Neurosurg. 2010;20:557-560.
- Jang JW, Lee JK, Seo BR, et al. Spontaneous resolution of tetraparesis because of postoperative cervical epidural hematoma.Spine J. 2010;10:e1-e5.
- Fleager K, Lee A, Cheng I, et al. Massive spontaneous epidural hematoma in a high-level swimmer: a case report. J Bone Joint Surg Am. 2010;92:2843-2846.
- Lipton ML. Totally Accessible MRI: A User’s Guide to Principles,Technology, and Applications. New York, NY: Springer; 2008.
- Taniguchi LU, Pahl FH, Lúcio JE, et al. Complete motor recoveryafter acute paraparesis caused by spontaneous spinal epiduralhematoma: case report. BMC Emerg Med. 2011;11:10.
- Binder DK, Sonne DC, Lawton MT. Spinal epidural hematoma.Neurosurg Q. 2004;14:51-59.
- Tsen AR, Burrows AM, Dumont TM, et al. Spinal epidural hematomamasquerading as atypical chest pain. Am J Emerg Med.2011;29:1236.e1-e3.
- Zhong W, Chen H, You C, et al. Spontaneous spinal epidural hematoma. J Clin Neurosci. 2011;18:1490-1494.
- Chou R, Qaseem A, Snow V, et al. Diagnosis and treatment of lowback pain: a joint clinical practice guideline from the AmericanCollege of Physicians and the American Pain Society. Ann Intern Med. 2007;147:478-491.
- Groen RJ. Non-operative treatment of spontaneous spinal epidural hematomas: a review of the literature and a comparison with operative cases. Acta Neurochir (Wien). 2004;146:103-110.
- Subbiah M, Avadhani A, Shetty AP, et al. Acute spontaneouscervical epidural hematoma with neurological deficit after lowmolecular-weight heparin therapy: role of conservative management.Spine J. 2010;10:e11-e15.
- Jang JW, Lee JK, Seo BR, et al. Spontaneous resolution of atraumatic cervicothoracic epidural hematoma presentingwith transient paraplegia: a case report. Spine (Phila Pa 1976). 2010;35:E564-E567.
- Sirin S, Arslan E, Yasar S, et al. Is spontaneous spinal epidural hematoma in elderly patients an emergency surgical case?Turk Neurosurg. 2010;20:557-560.
- Jang JW, Lee JK, Seo BR, et al. Spontaneous resolution of tetraparesis because of postoperative cervical epidural hematoma.Spine J. 2010;10:e1-e5.
- Fleager K, Lee A, Cheng I, et al. Massive spontaneous epidural hematoma in a high-level swimmer: a case report. J Bone Joint Surg Am. 2010;92:2843-2846.
Hospitals Report 30-Day Readmissions Dip with SHM’s Project BOOST
Initial outcomes data for SHM's Project BOOST show a reduction in 30-day hospital readmission rates to 12.7% from 14.7% among a select group of 11 participating hospitals.
Results were reported online July 22 in the Journal of Hospital Medicine. “Participation in Project BOOST appeared to be associated with a decrease in readmission rates,” the study authors cautiously observe, although two accompanying editorials label the results as "limited" and "disappointing."
The research compares outcomes data for clinical acute-care units at 11 of 30 hospitals in the first two BOOST cohorts, started in 2008 and 2009, with clinically matched non-BOOST control units for all-patient, 30-day readmissions. Each BOOST site adopted two or more of the recommended interventions from the program’s toolkit for improving care transitions, with the support of an expert mentor. Reporting clinical outcomes was voluntary and uncompensated, and 19 of the hospitals in the initial cohorts did not share their data—cited as a serious limitation by authors of the editorials.
"You can look at our study on a couple of different levels," says lead author and BOOST lead analyst Luke Hansen, MD, MHS, of the division of hospital medicine at Northwestern University Feinberg School of Medicine in Chicago. "One is the sites that gave us data, and in that group there were statistically significant results. But I think the more important question is: Will that be enough? What is the magnitude of the effect, and is it enough to give hospitals the impetus they need to prevent avoidable readmissions?"
Listen to more of our interview with Dr. Luke Hansen, Project BOOST's lead analyst.
Project BOOST is one of SHM's national QI programs aimed at improving care transitions through such strategies as readmission risk assessments, medication reconciliation, patient coaching, and post-discharge follow-up calls. For hospitals and HM groups searching for solutions to the 30-day readmission dilemma—and thereby avoid Medicare reimbursement penalties, clear answers remain elusive.
"BOOST is one of a number of care transitions improvement methodologies that have been applied to the problem of readmissions, each of which has evidence to support their effectiveness in their initial settings, but has proven difficult to translate to other sites," JHM Editor-in-Chief Andrew D. Auerbach, MD, MPH, SFHM, a professor of medicine in residence at the University of California at San Francisco's division of hospital medicine, and co-authors note in an accompanying editorial.
Dr. Auerbach notes in his editorial that research problems limited the study's robustness but that "the authors provide the necessary start down the road towards a fuller understanding of real-world efforts to reduce readmissions."
In the other editorial, Ashish K. Jha, MD, MPH, of the Harvard School of Public Health, Health Policy, and Management suggests that readmissions ultimately may be the wrong target. A better goal, Dr. Jha says, is to improve transitions of care and demonstrate better processes in achieving those results—even though that might not significantly alter readmission rates. "We need to get clearer on what we’re trying to achieve," he adds.
Visit our website for more information on hospital readmission studies.
Initial outcomes data for SHM's Project BOOST show a reduction in 30-day hospital readmission rates to 12.7% from 14.7% among a select group of 11 participating hospitals.
Results were reported online July 22 in the Journal of Hospital Medicine. “Participation in Project BOOST appeared to be associated with a decrease in readmission rates,” the study authors cautiously observe, although two accompanying editorials label the results as "limited" and "disappointing."
The research compares outcomes data for clinical acute-care units at 11 of 30 hospitals in the first two BOOST cohorts, started in 2008 and 2009, with clinically matched non-BOOST control units for all-patient, 30-day readmissions. Each BOOST site adopted two or more of the recommended interventions from the program’s toolkit for improving care transitions, with the support of an expert mentor. Reporting clinical outcomes was voluntary and uncompensated, and 19 of the hospitals in the initial cohorts did not share their data—cited as a serious limitation by authors of the editorials.
"You can look at our study on a couple of different levels," says lead author and BOOST lead analyst Luke Hansen, MD, MHS, of the division of hospital medicine at Northwestern University Feinberg School of Medicine in Chicago. "One is the sites that gave us data, and in that group there were statistically significant results. But I think the more important question is: Will that be enough? What is the magnitude of the effect, and is it enough to give hospitals the impetus they need to prevent avoidable readmissions?"
Listen to more of our interview with Dr. Luke Hansen, Project BOOST's lead analyst.
Project BOOST is one of SHM's national QI programs aimed at improving care transitions through such strategies as readmission risk assessments, medication reconciliation, patient coaching, and post-discharge follow-up calls. For hospitals and HM groups searching for solutions to the 30-day readmission dilemma—and thereby avoid Medicare reimbursement penalties, clear answers remain elusive.
"BOOST is one of a number of care transitions improvement methodologies that have been applied to the problem of readmissions, each of which has evidence to support their effectiveness in their initial settings, but has proven difficult to translate to other sites," JHM Editor-in-Chief Andrew D. Auerbach, MD, MPH, SFHM, a professor of medicine in residence at the University of California at San Francisco's division of hospital medicine, and co-authors note in an accompanying editorial.
Dr. Auerbach notes in his editorial that research problems limited the study's robustness but that "the authors provide the necessary start down the road towards a fuller understanding of real-world efforts to reduce readmissions."
In the other editorial, Ashish K. Jha, MD, MPH, of the Harvard School of Public Health, Health Policy, and Management suggests that readmissions ultimately may be the wrong target. A better goal, Dr. Jha says, is to improve transitions of care and demonstrate better processes in achieving those results—even though that might not significantly alter readmission rates. "We need to get clearer on what we’re trying to achieve," he adds.
Visit our website for more information on hospital readmission studies.
Initial outcomes data for SHM's Project BOOST show a reduction in 30-day hospital readmission rates to 12.7% from 14.7% among a select group of 11 participating hospitals.
Results were reported online July 22 in the Journal of Hospital Medicine. “Participation in Project BOOST appeared to be associated with a decrease in readmission rates,” the study authors cautiously observe, although two accompanying editorials label the results as "limited" and "disappointing."
The research compares outcomes data for clinical acute-care units at 11 of 30 hospitals in the first two BOOST cohorts, started in 2008 and 2009, with clinically matched non-BOOST control units for all-patient, 30-day readmissions. Each BOOST site adopted two or more of the recommended interventions from the program’s toolkit for improving care transitions, with the support of an expert mentor. Reporting clinical outcomes was voluntary and uncompensated, and 19 of the hospitals in the initial cohorts did not share their data—cited as a serious limitation by authors of the editorials.
"You can look at our study on a couple of different levels," says lead author and BOOST lead analyst Luke Hansen, MD, MHS, of the division of hospital medicine at Northwestern University Feinberg School of Medicine in Chicago. "One is the sites that gave us data, and in that group there were statistically significant results. But I think the more important question is: Will that be enough? What is the magnitude of the effect, and is it enough to give hospitals the impetus they need to prevent avoidable readmissions?"
Listen to more of our interview with Dr. Luke Hansen, Project BOOST's lead analyst.
Project BOOST is one of SHM's national QI programs aimed at improving care transitions through such strategies as readmission risk assessments, medication reconciliation, patient coaching, and post-discharge follow-up calls. For hospitals and HM groups searching for solutions to the 30-day readmission dilemma—and thereby avoid Medicare reimbursement penalties, clear answers remain elusive.
"BOOST is one of a number of care transitions improvement methodologies that have been applied to the problem of readmissions, each of which has evidence to support their effectiveness in their initial settings, but has proven difficult to translate to other sites," JHM Editor-in-Chief Andrew D. Auerbach, MD, MPH, SFHM, a professor of medicine in residence at the University of California at San Francisco's division of hospital medicine, and co-authors note in an accompanying editorial.
Dr. Auerbach notes in his editorial that research problems limited the study's robustness but that "the authors provide the necessary start down the road towards a fuller understanding of real-world efforts to reduce readmissions."
In the other editorial, Ashish K. Jha, MD, MPH, of the Harvard School of Public Health, Health Policy, and Management suggests that readmissions ultimately may be the wrong target. A better goal, Dr. Jha says, is to improve transitions of care and demonstrate better processes in achieving those results—even though that might not significantly alter readmission rates. "We need to get clearer on what we’re trying to achieve," he adds.
Visit our website for more information on hospital readmission studies.
Rising Medicare Spending for End-of-Life Care Brings Patients’ Wishes into Focus
A new report that shows ever-growing Medicare spending for chronically ill patients in the last two years of life can serve as a reminder for hospitalists to properly gauge patients’ wishes for end-of-life care, one of the authors says.
The brief from the Dartmouth Atlas Project [PDF] shows that from 2007 to 2010, average spending per patient in the last two years of life increased 15.2% to $69,947, and average spending in the last six months of life rose 13.4% to $36,392.
During the same three-year period, patients in their last six months of life were less likely to be hospitalized and logged more time in hospice care—21 days versus 18.3 days—reflecting the wishes of most patients to spend their last days in a homelike environment, the report notes. Accordingly, chronically ill Medicare patients were less likely to die in the hospital by the end of the study period.
David Goodman, MD, MS, co-principal investigator for Dartmouth Atlas of Health Care, says the growing use of hospice care and decreased hospitalization stays “aligns more closely with patients’ preferences.”
“The focus really needs to be on better diagnosis of patients’ preferences to reduce what has been well-documented as overutilization from the patient’s perspective,” Dr. Goodman says.
While costs and trends vary widely among regions and health-care systems, Dr. Goodman attributes the differences to local supplies of hospital beds and practice styles. For example, in regions with more beds, patients are more likely to spend time in the hospital near the end of life, he says. “There is definitely a national trend away from hospital care near the end of life,” he adds. “But that rate of change varies a lot from place to place. It’s helpful for hospitalists to understand where they fit on the spectrum.”
Visit our website for more information on end of life care.
A new report that shows ever-growing Medicare spending for chronically ill patients in the last two years of life can serve as a reminder for hospitalists to properly gauge patients’ wishes for end-of-life care, one of the authors says.
The brief from the Dartmouth Atlas Project [PDF] shows that from 2007 to 2010, average spending per patient in the last two years of life increased 15.2% to $69,947, and average spending in the last six months of life rose 13.4% to $36,392.
During the same three-year period, patients in their last six months of life were less likely to be hospitalized and logged more time in hospice care—21 days versus 18.3 days—reflecting the wishes of most patients to spend their last days in a homelike environment, the report notes. Accordingly, chronically ill Medicare patients were less likely to die in the hospital by the end of the study period.
David Goodman, MD, MS, co-principal investigator for Dartmouth Atlas of Health Care, says the growing use of hospice care and decreased hospitalization stays “aligns more closely with patients’ preferences.”
“The focus really needs to be on better diagnosis of patients’ preferences to reduce what has been well-documented as overutilization from the patient’s perspective,” Dr. Goodman says.
While costs and trends vary widely among regions and health-care systems, Dr. Goodman attributes the differences to local supplies of hospital beds and practice styles. For example, in regions with more beds, patients are more likely to spend time in the hospital near the end of life, he says. “There is definitely a national trend away from hospital care near the end of life,” he adds. “But that rate of change varies a lot from place to place. It’s helpful for hospitalists to understand where they fit on the spectrum.”
Visit our website for more information on end of life care.
A new report that shows ever-growing Medicare spending for chronically ill patients in the last two years of life can serve as a reminder for hospitalists to properly gauge patients’ wishes for end-of-life care, one of the authors says.
The brief from the Dartmouth Atlas Project [PDF] shows that from 2007 to 2010, average spending per patient in the last two years of life increased 15.2% to $69,947, and average spending in the last six months of life rose 13.4% to $36,392.
During the same three-year period, patients in their last six months of life were less likely to be hospitalized and logged more time in hospice care—21 days versus 18.3 days—reflecting the wishes of most patients to spend their last days in a homelike environment, the report notes. Accordingly, chronically ill Medicare patients were less likely to die in the hospital by the end of the study period.
David Goodman, MD, MS, co-principal investigator for Dartmouth Atlas of Health Care, says the growing use of hospice care and decreased hospitalization stays “aligns more closely with patients’ preferences.”
“The focus really needs to be on better diagnosis of patients’ preferences to reduce what has been well-documented as overutilization from the patient’s perspective,” Dr. Goodman says.
While costs and trends vary widely among regions and health-care systems, Dr. Goodman attributes the differences to local supplies of hospital beds and practice styles. For example, in regions with more beds, patients are more likely to spend time in the hospital near the end of life, he says. “There is definitely a national trend away from hospital care near the end of life,” he adds. “But that rate of change varies a lot from place to place. It’s helpful for hospitalists to understand where they fit on the spectrum.”
Visit our website for more information on end of life care.
3e Initiative releases multinational evidence-based gout recommendations
Identification of monosodium urate crystals, either in a joint fluid sample or in a tophi aspirate, should be performed for a definite diagnosis of gout, according to new multinational evidence-based recommendations on the diagnosis and management of the disease.
When identification of monosodium urate (MSU) crystals is not possible, the diagnosis can be supported by classical clinical features such as podagra, tophi, or rapid response to colchicine, or by characteristic imaging findings, Dr. Francisca Sivera of Hospital General Universitario de Elda (Spain) and her colleagues reported on behalf of the 2011 3e (Evidence, Expertise, Exchange) Initiative. The initiative is a multinational collaboration tasked with promoting evidence-based practice in rheumatology through the development of practical recommendations that address relevant clinical issues.
The MSU identification recommendation is one of 10 recommendations developed by 474 rheumatologists from 14 countries who participated in the 2011 3e Initiative. In keeping with 3e protocol, a panel of 78 experts representing the 14 countries developed 10 key clinical questions pertinent to the diagnosis and management of gout, each of which was investigated via extensive literature review. Recommendations for each of the questions were then formulated, debated, and voted on by Initiative participants, and each recommendation was graded based on the level of evidence.
In addition to diagnosis, the gout recommendations address comorbidity screening, acute gout treatment, lifestyle counseling, urate-lowering therapy, flare prophylaxis, the effect of comorbidities on drug selection, patient monitoring, tophi treatment, and management of asymptomatic hyperuricemia (Ann. Rheum. Dis. 2013 July 18 [doi: 10.1136/annrheumdis-2013-203325]).
Specifically, with a high level of agreement that ranged from a mean of 8.1 to 9.2 on a 1-10 scale, the 3e Initiative participants recommended:
• Assessing renal function and cardiovascular risk factors in patients with gout and/or hyperuricemia.
• Treating acute gout with low-dose colchicine, nonsteroidal anti-inflammatory drugs, and/or glucocorticoids, depending on comorbidities and the risk of adverse effects.
• Advising patients about health lifestyle choices.
• Using allopurinol first-line as urate-lowering therapy, and considering uricosurics as alternatives when necessary.
• Educating patients on the risk and management of flares – and using prophylaxis – when introducing urate-lowering therapy.
• Using allopurinol with close monitoring, and starting at a low dose with slow titration, in patients with mild to moderate renal impairment.
• Setting the treatment target for serum urate at below 0.36 mmol/L (6 mg/dL) with eventual absence of gout attacks and resolution of tophi.
• Treating tophi medically by achieving a sustained reduction in serum uric acid, preferably below 0.30 mmol/L (5 mg/dL) and reserving surgery for select cases, such as those involving nerve compression, mechanical impingement, or infection.
• Forgoing pharmacological treatment of asymptomatic hyperuricemia.
The ultimate goal of these recommendations, which were based on 1a-5 evidence levels, and which received recommendation grades ranging from B to D, is to improve patient care, Dr. Sivera said in an interview. The level of evidence and grade of recommendation were made according to the Oxford Centre for Evidence-Based Medicine levels of evidence.
Gout affects up to 2% of men in Western countries, and is associated with morbidity, disability, and poorer quality of life. Despite the availability of a number of guidelines and recommendations, management of the condition is often suboptimal, she said.
"Gout is a curable disease, but evidence shows that many patients are mismanaged with regard to both treatment and diagnosis. Even in a rheumatology clinic, only about a quarter of the patients have a diagnosis of gout established by MSU crystal identification, and in a U.K. study, only one in three patients with a diagnosis of gout were taking urate-lowering therapy," she said.
Research shows that when guidelines are implemented, they improve the quality of care. Educational outreach has an effect on implementation, she said, noting that "both dissemination and education – in both gout and in evidence-based medicine – are an integral part of the 3e Initiative, so these multinational recommendations have the potential to positively influence the standard of care."
The 3e recommendations follow those published in 2012 on behalf of the American College of Rheumatology, which centered on the treatment and prophylaxis of acute gout flares and the appropriate use of urate-lowering therapy.
"Some of the recommendations provided are similar, such as treating to a target serum uric acid level, and the ‘start low, go slow’ approach to allopurinol therapy. This highlights the general consensus on many aspects of the optimal standard of gout management," Dr. Sivera said.
Where the 3e recommendation and the ACR guidelines overlap, there is, indeed, general agreement, Dr. John FitzGerald of the University of California, Los Angeles, said in an interview.
Both processes benefited from Delphi consensus methodologies and systematic literature reviews to inform decision making. However, the two diverge with respect to other aspects of the methodology and presentation, he noted.
"The RAND/UCLA methodology used by ACR resulted in guidelines that were evidence based to be the most efficacious recommendations. As noted, the RAND/UCLA methodology excludes cost of therapy (as typically there are insufficient head-to-head therapeutic cost-efficacy studies on which to base recommendations). The ACR guidelines therefore leave it to the practitioner to use the efficacy-based recommendations, along with their clinical and practical knowledge, to then provide recommendations for specific patients. As an example, allopurinol and febuxostat have relatively similar efficacy but significant cost differences," said Dr. FitzGerald, who co-led the ACR guidelines development project.
"The 3e approach incorporates that next step in decision making to provide evidence-based and practical recommendations to the practitioner," he said.
The ACR effort addressed four specific domains of gout management: treatment of acute gouty attacks, management of urate-lowering therapy, management of chronic tophaceous gout, and prophylaxis of acute gouty attacks. Although the 3e effort focused on 10 specific, clinically relevant questions, it is valuable for other reasons as well, such as the inclusion of diagnosis as part of the recommendations, and the fact that asymptomatic hyperuricemia is addressed, he said, noting that neither of these was addressed by the ACR guidelines.
The 3e recommendations also address the use of benzbromarone, a uricosuric agent that is not available in the United States.
While the 3e effort lacks the extent of detail included in the ACR guidelines, such as the inclusion of specific information on allopurinol dosing, the 3e group is to be commended for the size of the effort, Dr. FitzGerald said, stressing the value of the input from nearly 500 rheumatologists from 14 countries.
Indeed, the extensive effort by "a large group of practicing rheumatologists from many different countries in Europe, South America, and Australasia resulted in the recommendations addressing those aspects [of gout diagnosis and management] that rheumatologists found most clinically relevant," Dr. Sivera said.
She and her colleagues concluded that "the high level of agreement with the final recommendations and the multinational participation increase their utility and will hopefully facilitate their dissemination and implementation worldwide."
The 3e Gout Program was sponsored by AbbVie. Dr. Sivera reported receiving fees from Menarini for preparing educational presentations, and other authors reported receiving lecture or consulting fees and/or research grants from many companies, including AbbVie. Dr. FitzGerald reported receiving honoraria and grant support from the ACR.
Identification of monosodium urate crystals, either in a joint fluid sample or in a tophi aspirate, should be performed for a definite diagnosis of gout, according to new multinational evidence-based recommendations on the diagnosis and management of the disease.
When identification of monosodium urate (MSU) crystals is not possible, the diagnosis can be supported by classical clinical features such as podagra, tophi, or rapid response to colchicine, or by characteristic imaging findings, Dr. Francisca Sivera of Hospital General Universitario de Elda (Spain) and her colleagues reported on behalf of the 2011 3e (Evidence, Expertise, Exchange) Initiative. The initiative is a multinational collaboration tasked with promoting evidence-based practice in rheumatology through the development of practical recommendations that address relevant clinical issues.
The MSU identification recommendation is one of 10 recommendations developed by 474 rheumatologists from 14 countries who participated in the 2011 3e Initiative. In keeping with 3e protocol, a panel of 78 experts representing the 14 countries developed 10 key clinical questions pertinent to the diagnosis and management of gout, each of which was investigated via extensive literature review. Recommendations for each of the questions were then formulated, debated, and voted on by Initiative participants, and each recommendation was graded based on the level of evidence.
In addition to diagnosis, the gout recommendations address comorbidity screening, acute gout treatment, lifestyle counseling, urate-lowering therapy, flare prophylaxis, the effect of comorbidities on drug selection, patient monitoring, tophi treatment, and management of asymptomatic hyperuricemia (Ann. Rheum. Dis. 2013 July 18 [doi: 10.1136/annrheumdis-2013-203325]).
Specifically, with a high level of agreement that ranged from a mean of 8.1 to 9.2 on a 1-10 scale, the 3e Initiative participants recommended:
• Assessing renal function and cardiovascular risk factors in patients with gout and/or hyperuricemia.
• Treating acute gout with low-dose colchicine, nonsteroidal anti-inflammatory drugs, and/or glucocorticoids, depending on comorbidities and the risk of adverse effects.
• Advising patients about health lifestyle choices.
• Using allopurinol first-line as urate-lowering therapy, and considering uricosurics as alternatives when necessary.
• Educating patients on the risk and management of flares – and using prophylaxis – when introducing urate-lowering therapy.
• Using allopurinol with close monitoring, and starting at a low dose with slow titration, in patients with mild to moderate renal impairment.
• Setting the treatment target for serum urate at below 0.36 mmol/L (6 mg/dL) with eventual absence of gout attacks and resolution of tophi.
• Treating tophi medically by achieving a sustained reduction in serum uric acid, preferably below 0.30 mmol/L (5 mg/dL) and reserving surgery for select cases, such as those involving nerve compression, mechanical impingement, or infection.
• Forgoing pharmacological treatment of asymptomatic hyperuricemia.
The ultimate goal of these recommendations, which were based on 1a-5 evidence levels, and which received recommendation grades ranging from B to D, is to improve patient care, Dr. Sivera said in an interview. The level of evidence and grade of recommendation were made according to the Oxford Centre for Evidence-Based Medicine levels of evidence.
Gout affects up to 2% of men in Western countries, and is associated with morbidity, disability, and poorer quality of life. Despite the availability of a number of guidelines and recommendations, management of the condition is often suboptimal, she said.
"Gout is a curable disease, but evidence shows that many patients are mismanaged with regard to both treatment and diagnosis. Even in a rheumatology clinic, only about a quarter of the patients have a diagnosis of gout established by MSU crystal identification, and in a U.K. study, only one in three patients with a diagnosis of gout were taking urate-lowering therapy," she said.
Research shows that when guidelines are implemented, they improve the quality of care. Educational outreach has an effect on implementation, she said, noting that "both dissemination and education – in both gout and in evidence-based medicine – are an integral part of the 3e Initiative, so these multinational recommendations have the potential to positively influence the standard of care."
The 3e recommendations follow those published in 2012 on behalf of the American College of Rheumatology, which centered on the treatment and prophylaxis of acute gout flares and the appropriate use of urate-lowering therapy.
"Some of the recommendations provided are similar, such as treating to a target serum uric acid level, and the ‘start low, go slow’ approach to allopurinol therapy. This highlights the general consensus on many aspects of the optimal standard of gout management," Dr. Sivera said.
Where the 3e recommendation and the ACR guidelines overlap, there is, indeed, general agreement, Dr. John FitzGerald of the University of California, Los Angeles, said in an interview.
Both processes benefited from Delphi consensus methodologies and systematic literature reviews to inform decision making. However, the two diverge with respect to other aspects of the methodology and presentation, he noted.
"The RAND/UCLA methodology used by ACR resulted in guidelines that were evidence based to be the most efficacious recommendations. As noted, the RAND/UCLA methodology excludes cost of therapy (as typically there are insufficient head-to-head therapeutic cost-efficacy studies on which to base recommendations). The ACR guidelines therefore leave it to the practitioner to use the efficacy-based recommendations, along with their clinical and practical knowledge, to then provide recommendations for specific patients. As an example, allopurinol and febuxostat have relatively similar efficacy but significant cost differences," said Dr. FitzGerald, who co-led the ACR guidelines development project.
"The 3e approach incorporates that next step in decision making to provide evidence-based and practical recommendations to the practitioner," he said.
The ACR effort addressed four specific domains of gout management: treatment of acute gouty attacks, management of urate-lowering therapy, management of chronic tophaceous gout, and prophylaxis of acute gouty attacks. Although the 3e effort focused on 10 specific, clinically relevant questions, it is valuable for other reasons as well, such as the inclusion of diagnosis as part of the recommendations, and the fact that asymptomatic hyperuricemia is addressed, he said, noting that neither of these was addressed by the ACR guidelines.
The 3e recommendations also address the use of benzbromarone, a uricosuric agent that is not available in the United States.
While the 3e effort lacks the extent of detail included in the ACR guidelines, such as the inclusion of specific information on allopurinol dosing, the 3e group is to be commended for the size of the effort, Dr. FitzGerald said, stressing the value of the input from nearly 500 rheumatologists from 14 countries.
Indeed, the extensive effort by "a large group of practicing rheumatologists from many different countries in Europe, South America, and Australasia resulted in the recommendations addressing those aspects [of gout diagnosis and management] that rheumatologists found most clinically relevant," Dr. Sivera said.
She and her colleagues concluded that "the high level of agreement with the final recommendations and the multinational participation increase their utility and will hopefully facilitate their dissemination and implementation worldwide."
The 3e Gout Program was sponsored by AbbVie. Dr. Sivera reported receiving fees from Menarini for preparing educational presentations, and other authors reported receiving lecture or consulting fees and/or research grants from many companies, including AbbVie. Dr. FitzGerald reported receiving honoraria and grant support from the ACR.
Identification of monosodium urate crystals, either in a joint fluid sample or in a tophi aspirate, should be performed for a definite diagnosis of gout, according to new multinational evidence-based recommendations on the diagnosis and management of the disease.
When identification of monosodium urate (MSU) crystals is not possible, the diagnosis can be supported by classical clinical features such as podagra, tophi, or rapid response to colchicine, or by characteristic imaging findings, Dr. Francisca Sivera of Hospital General Universitario de Elda (Spain) and her colleagues reported on behalf of the 2011 3e (Evidence, Expertise, Exchange) Initiative. The initiative is a multinational collaboration tasked with promoting evidence-based practice in rheumatology through the development of practical recommendations that address relevant clinical issues.
The MSU identification recommendation is one of 10 recommendations developed by 474 rheumatologists from 14 countries who participated in the 2011 3e Initiative. In keeping with 3e protocol, a panel of 78 experts representing the 14 countries developed 10 key clinical questions pertinent to the diagnosis and management of gout, each of which was investigated via extensive literature review. Recommendations for each of the questions were then formulated, debated, and voted on by Initiative participants, and each recommendation was graded based on the level of evidence.
In addition to diagnosis, the gout recommendations address comorbidity screening, acute gout treatment, lifestyle counseling, urate-lowering therapy, flare prophylaxis, the effect of comorbidities on drug selection, patient monitoring, tophi treatment, and management of asymptomatic hyperuricemia (Ann. Rheum. Dis. 2013 July 18 [doi: 10.1136/annrheumdis-2013-203325]).
Specifically, with a high level of agreement that ranged from a mean of 8.1 to 9.2 on a 1-10 scale, the 3e Initiative participants recommended:
• Assessing renal function and cardiovascular risk factors in patients with gout and/or hyperuricemia.
• Treating acute gout with low-dose colchicine, nonsteroidal anti-inflammatory drugs, and/or glucocorticoids, depending on comorbidities and the risk of adverse effects.
• Advising patients about health lifestyle choices.
• Using allopurinol first-line as urate-lowering therapy, and considering uricosurics as alternatives when necessary.
• Educating patients on the risk and management of flares – and using prophylaxis – when introducing urate-lowering therapy.
• Using allopurinol with close monitoring, and starting at a low dose with slow titration, in patients with mild to moderate renal impairment.
• Setting the treatment target for serum urate at below 0.36 mmol/L (6 mg/dL) with eventual absence of gout attacks and resolution of tophi.
• Treating tophi medically by achieving a sustained reduction in serum uric acid, preferably below 0.30 mmol/L (5 mg/dL) and reserving surgery for select cases, such as those involving nerve compression, mechanical impingement, or infection.
• Forgoing pharmacological treatment of asymptomatic hyperuricemia.
The ultimate goal of these recommendations, which were based on 1a-5 evidence levels, and which received recommendation grades ranging from B to D, is to improve patient care, Dr. Sivera said in an interview. The level of evidence and grade of recommendation were made according to the Oxford Centre for Evidence-Based Medicine levels of evidence.
Gout affects up to 2% of men in Western countries, and is associated with morbidity, disability, and poorer quality of life. Despite the availability of a number of guidelines and recommendations, management of the condition is often suboptimal, she said.
"Gout is a curable disease, but evidence shows that many patients are mismanaged with regard to both treatment and diagnosis. Even in a rheumatology clinic, only about a quarter of the patients have a diagnosis of gout established by MSU crystal identification, and in a U.K. study, only one in three patients with a diagnosis of gout were taking urate-lowering therapy," she said.
Research shows that when guidelines are implemented, they improve the quality of care. Educational outreach has an effect on implementation, she said, noting that "both dissemination and education – in both gout and in evidence-based medicine – are an integral part of the 3e Initiative, so these multinational recommendations have the potential to positively influence the standard of care."
The 3e recommendations follow those published in 2012 on behalf of the American College of Rheumatology, which centered on the treatment and prophylaxis of acute gout flares and the appropriate use of urate-lowering therapy.
"Some of the recommendations provided are similar, such as treating to a target serum uric acid level, and the ‘start low, go slow’ approach to allopurinol therapy. This highlights the general consensus on many aspects of the optimal standard of gout management," Dr. Sivera said.
Where the 3e recommendation and the ACR guidelines overlap, there is, indeed, general agreement, Dr. John FitzGerald of the University of California, Los Angeles, said in an interview.
Both processes benefited from Delphi consensus methodologies and systematic literature reviews to inform decision making. However, the two diverge with respect to other aspects of the methodology and presentation, he noted.
"The RAND/UCLA methodology used by ACR resulted in guidelines that were evidence based to be the most efficacious recommendations. As noted, the RAND/UCLA methodology excludes cost of therapy (as typically there are insufficient head-to-head therapeutic cost-efficacy studies on which to base recommendations). The ACR guidelines therefore leave it to the practitioner to use the efficacy-based recommendations, along with their clinical and practical knowledge, to then provide recommendations for specific patients. As an example, allopurinol and febuxostat have relatively similar efficacy but significant cost differences," said Dr. FitzGerald, who co-led the ACR guidelines development project.
"The 3e approach incorporates that next step in decision making to provide evidence-based and practical recommendations to the practitioner," he said.
The ACR effort addressed four specific domains of gout management: treatment of acute gouty attacks, management of urate-lowering therapy, management of chronic tophaceous gout, and prophylaxis of acute gouty attacks. Although the 3e effort focused on 10 specific, clinically relevant questions, it is valuable for other reasons as well, such as the inclusion of diagnosis as part of the recommendations, and the fact that asymptomatic hyperuricemia is addressed, he said, noting that neither of these was addressed by the ACR guidelines.
The 3e recommendations also address the use of benzbromarone, a uricosuric agent that is not available in the United States.
While the 3e effort lacks the extent of detail included in the ACR guidelines, such as the inclusion of specific information on allopurinol dosing, the 3e group is to be commended for the size of the effort, Dr. FitzGerald said, stressing the value of the input from nearly 500 rheumatologists from 14 countries.
Indeed, the extensive effort by "a large group of practicing rheumatologists from many different countries in Europe, South America, and Australasia resulted in the recommendations addressing those aspects [of gout diagnosis and management] that rheumatologists found most clinically relevant," Dr. Sivera said.
She and her colleagues concluded that "the high level of agreement with the final recommendations and the multinational participation increase their utility and will hopefully facilitate their dissemination and implementation worldwide."
The 3e Gout Program was sponsored by AbbVie. Dr. Sivera reported receiving fees from Menarini for preparing educational presentations, and other authors reported receiving lecture or consulting fees and/or research grants from many companies, including AbbVie. Dr. FitzGerald reported receiving honoraria and grant support from the ACR.
FROM ANNALS OF THE RHEUMATIC DISEASES
EHR Use as a Measure of Care Intensity
Hospitals provide acute inpatient care all day and every day. Nonetheless, a number of studies have shown that weekend care may have lower quality than care delivered on weekdays. [1, 2, 3, 4, 5, 6, 7] Weekend care has been associated with increased mortality among patients suffering from a number of conditions [4, 5, 6, 7, 8, 9, 10] and in a number of clinical settings. [11, 12, 13, 14] Findings of poor outcomes on weekends are not universal, though exceptions occur typically in settings where services and clinical staffing are fairly constant throughout the week, such as intensive care units with on‐site intensivists. [15, 16, 17]
These differences in quality and outcomes suggest that there is a difference in intensity of care over the course of the week. Initiatives to address this important safety issue would be strengthened if a shared metric existed to describe the intensity of care provided at a given time of day or day of the week. However, few measures of global hospital intensity of care exist. The metrics that have been developed are limited by measuring only 1 aspect of care delivery, such as weekend nurse staffing, [18] by requiring extensive chart abstraction, [19] or through reliance on hospital expenses in an older payment model. [20] These measures notably predate contemporary hospital care delivery, which is increasingly dependent on the electronic health record (EHR). To our knowledge, no prior measure of hospital care intensity has been described using the EHR.
Recently, our medical center began an initiative to increase weekend services and staffing to create more uniform availability of care throughout the week. The purpose of this study was to develop a global measure of intensity of care using data derived from the EHR as part of the evaluation of this initiative. [21]
METHODS
We conducted a retrospective analysis of EHR activity for hospital inpatients between January 1, 2011 and December 31, 2011 at New York University Langone Medical Center (NYULMC). During that time period, nearly all inpatient clinical activities at NYULMC were performed and documented through the EHR, Sunrise Clinical Manager (Allscripts, Chicago, IL). These activities include clinical documentation, orders, medication administration, and results of diagnostic tests. Access to the EHR is through Citrix Xenapp Servers (Citrix Systems, Santa Clara, CA), which securely deliver applications from central servers to providers' local terminals.
The primary measure of EHR activity, which we refer to as EHR interactions, was defined as the accessing of a patient's electronic record by a clinician. A provider initiates an interaction by opening a patient's electronic record and concludes it by either opening the record of a different patient or logging out of the EHR. An EHR interaction thus captures a unit of direct patient care, such as documenting a clinical encounter, recording medication administration, or reviewing patient data. Most EHR systems routinely log such interactions to enable compliance departments to audit which users have accessed a patient chart.
The secondary measure of EHR activity was percent central processing unit (CPU), which represents the percent of total available server processing power being used by the Citrix servers at a given time. CPU utilization was averaged over an hour to determine the mean percentage of use for any given hour. As CPU data are not retained for more than 30 days at our institution, we examined CPU usage for the period July 1, 2012 to August 31, 2012.
We evaluated subgroups of EHR interactions by provider type: nurses, resident physicians, attending physicians, pharmacy staff, and all others. We also examined EHR interactions for 2 subgroups of patients: those admitted to the medicine service from the emergency room (ER) and those electively admitted to the surgical service. An elective hospitalization was defined as 1 in which the patient was neither admitted from the ER nor transferred from another hospital. These 2 subgroups were further refined to evaluate EHR interactions among groups of patients admitted during the day, night, weekday, and weeknight. Finally, we examined specific EHR orders that we considered reflective of advancing or altering care, including orders to increase the level of mobilization, to insert or remove a urinary catheter, or to initiate or discontinue antibiotics. As antibiotics are frequently initiated on the day of admission and stopped on the day of discharge, we excluded antibiotic orders that occurred on days of admission or discharge.
Statistical Analysis
EHR interactions were presented as hourly rates by dividing the number of patient chart accessions by the inpatient census for each hour. Hourly census was determined by summing the number of patients who were admitted prior to and discharged after the hour of interest. We calculated the arithmetic means of EHR interactions for each hour and day of the week in 2011. Analysis of variance was used to test differences in EHR interactions among days of the week, and t tests were used to test differences in EHR interactions between Saturday and Sunday, Tuesday and Wednesday, and weekend and weekdays. As a result of multiple comparisons in these analyses, we applied a Bonferroni correction.
EHR interaction rates were assigned to 1 of 3 periods based on a priori suspected peak and trough intensity: day (9:00 am to 4:59 pm ), morning/evening (7:00 am to 8:59 am and 5:00 pm to 7:59 pm ), and night (8:00 pm to 6:59 am ). Negative binomial regression models were used to determine the relative rate of weekday to weekend EHR interactions per patient for the 3 daily time periods. Similar models were developed for EHR interactions by provider types and for specific orders.
We calculated the correlation coefficient between total EHR interactions and occurrence of specific orders, EHR interactions by provider type, EHR interactions by patient subgroups, and CPU. A sensitivity analysis was performed in which EHR interactions were calculated as the number of patient chart accessions per number of daily discharges; this analysis considered the fact that discharges were likely to have high associated intensity but may be less common on weekends as compared to weekdays.
All analyses were performed using Stata 12 (StataCorp, College Station, TX). This study was approved by the institutional review board at NYU School of Medicine.
RESULTS
During the study period, the mean (standard deviation) number of EHR interactions per patient per hour was 2.49 (1.30). EHR interactions differed by hour and day of the week; the lowest number occurred in early morning on weekends, and the highest occurred around 11:00 am on weekdays (Figure 1 ). EHR interactions differed among days of the week at all times ( P <0.001), whereas EHR interactions were similar on most hours of Saturday and Sunday as well as Tuesday and Wednesday. At every hour, weekends had a lower number of EHR interactions in comparison to weekdays ( P <0.001). Weekdays showed a substantial increase in the number of EHR interactions between 8:00 am and 12:00 pm , followed by a slight decrease in activity between 12:00 pm and 2:00 pm , and another increase in activity from 2:00 pm to 5:00 pm (Figure 1 ). Weekend days demonstrated marked blunting of this midday peak in intensity. The tracking of an entire month of hospital EHR interactions produced a detailed graphic picture of hospital activity, clearly demarcating rounding hours, lunch hours, weekend days, hospital holidays, and other landmarks (Figure 2 ). The relative rates of census‐adjusted EHR interactions on weekdays versus weekends were 1.76 (95% confidence interval [CI]: 1.74‐1.77) for day, 1.52 (95% CI: 1.50‐1.55) for morning/evening, and 1.14 (95% CI: 1.12‐1.17) for night hours.


Nurses performed the largest number of EHR interactions (39.7%), followed by resident physicians (15.2%), attending physicians (10.2%), and pharmacists (7.6%). The remainder of EHR interactions were performed by other providers (27.4%), whose role in the majority of cases was undefined in the EHR (see Supporting Table 1 in the online version of this article). Daily variation in EHR interactions differed by provider type (Table 1 ). Nurses and resident physicians showed smaller differences in their EHR interactions between weekend and weekdays and among times of day when compared to attending physicians, pharmacy staff, and other staff. EHR interactions showed similar variations to the overall cohort for both medicine patients admitted from the ER and elective surgery patients (Table 1 ). Specific clinical orders designed to sample particularly meaningful interactions, including urinary catheter insertion and removal, patient mobilization orders, and new antibiotic orders, were moderately correlated with total EHR interactions (Table 2 ). In a sensitivity analysis, the comparison of weekday to weekend EHR interactions per daily discharge was similar to the primary analysis, with relative rates of 1.75 (95% CI: 1.73‐1.77), 1.54 (95% CI: 1.50‐1.57), and 1.15 (95% CI: 1.11‐1.18) for day, morning/evening, and night hours, respectively.
Hour Group a | |||||||
---|---|---|---|---|---|---|---|
Daytime Hours | Morning/Evening Hours | Nighttime Hours | Correlation Coefficient to | ||||
Rate Ratio | 95% CI | Rate Ratio | 95% CI | Rate Ratio | 95% CI | EHR Interactions | |
| |||||||
All EHR interactions | 1.76 | 1.74‐1.77 | 1.52 | 1.50‐1.55 | 1.14 | 1.12‐1.17 | 1.00 |
By provider subgroup | |||||||
Nurses | 1.35 | 1.34‐1.37 | 1.21 | 1.20‐1.22 | 1.10 | 1.08‐1.12 | 0.92 |
Residents | 1.38 | 1.36‐1.40 | 1.46 | 1.43‐1.49 | 1.14 | 1.11‐1.18 | 0.90 |
Attending physicians | 1.70 | 1.67‐1.73 | 2.04 | 1.97‐2.10 | 1.32 | 1.26‐1.39 | 0.96 |
Pharmacy staff | 1.64 | 1.61‐1.67 | 1.68 | 1.61‐1.75 | 1.19 | 1.15‐1.23 | 0.90 |
All others | 2.75 | 2.70‐2.79 | 2.08 | 2.002.17 | 1.20 | 1.15‐1.25 | 0.97 |
By admission subgroup | |||||||
Medicine ER admissions | |||||||
All | 1.64 | 1.62‐1.67 | 1.41 | 1.38‐1.44 | 1.07 | 1.04‐1.09 | 0.92 |
Day admissions | 1.64 | 1.62‐1.67 | 1.41 | 1.38‐1.44 | 1.08 | 1.05‐1.11 | 0.92 |
Night admissions | 1.65 | 1.62‐1.68 | 1.41 | 1.37‐1.45 | 1.03 | 1.001.05 | 0.88 |
Weekday admissions | 1.76 | 1.73‐1.79 | 1.56 | 1.52‐1.59 | 1.28 | 1.23‐1.30 | 0.93 |
Weekend admissions | 1.40 | 1.38‐1.42 | 1.14 | 1.11‐1.17 | 0.70 | 0.68‐0.72 | 0.88 |
Surgery elective admissions | |||||||
All | 1.63 | 1.61‐1.65 | 1.53 | 1.50‐1.56 | 1.25 | 1.21‐1.28 | 0.97 |
Day admissions | 1.62 | 1.60‐1.64 | 1.54 | 1.51‐1.57 | 1.26 | 1.23‐1.30 | 0.96 |
Night admissions | 1.65 | 1.62‐1.67 | 1.50 | 1.46‐1.54 | 1.22 | 1.18‐1.25 | 0.94 |
Weekday admissions | 1.64 | 1.62‐1.66 | 1.55 | 1.52‐1.59 | 1.27 | 1.24‐1.31 | 0.96 |
Weekend admissions | 1.60 | 1.56‐1.65 | 1.26 | 1.21‐1.31 | 0.89 | 0.85‐0.93 | 0.73 |
Hour Group a | |||||||
---|---|---|---|---|---|---|---|
Daytime Hours | Morning/Evening Hours | Nighttime Hours | Correlation Coefficient to | ||||
Rate Ratio | 95% CI | Rate Ratio | 95% CI | Rate Ratio | 95% CI | EHR Interactions | |
| |||||||
Urinary catheter | 2.81 | 2.61‐3.02 | 3.17 | 2.85‐3.54 | 1.42 | 1.27‐1.58 | 0.66 |
Mobilization | 2.51 | 2.39‐2.63 | 2.91 | 2.71‐3.12 | 1.42 | 1.34‐1.52 | 0.70 |
Antibiotic initiation b | 1.33 | 1.24‐1.42 | 1.65 | 1.47‐1.85 | 1.13 | 1.01‐1.25 | 0.41 |
Antibiotic discontinue c | 1.74 | 1.63‐1.85 | 1.68 | 1.50‐1.87 | 1.28 | 1.13‐1.45 | 0.61 |
As seen in Figure 3 , CPU usage was well correlated with EHR interactions ( r =0.90) and both metrics were lower on weekends as compared to weekdays. A few outliers of increased CPU usage on weekends were observed; these outliers all occurred on Sundays from 12:00 am to 2:00 am . The information technology (IT) department at our institution confirmed that these outliers coincided with a weekly virus scan performed at that time.

am
and 1:00
am
, which were determined to be outliers related to a weekly virus scan. The correlation coefficient is 0.90.
DISCUSSION
EHR interactions represents a new and accessible measure of hospital care intensity that may be used to track temporal variations in care that are likely to exist in all hospital systems. As the number of hospitals that process and document all clinical activities through the EHR continues to increase, [22, 23] such a measure has the potential to serve as a useful metric in efforts to raise nighttime and weekend care to the same quality as that during weekdays.
We found that EHR interactions differed markedly between days and nights and between weekdays and weekends. A number of prior studies have found temporal variations in clinical outcomes and care. [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] Our study adds to this literature by defining a new measure of the overall intensity of the process of inpatient care. Using this measure, we demonstrate that the increase in midday clinical activity seen during the week is substantially blunted on weekends. This finding adds validity to the designation of both nights and weekends as off hours when examining temporal variations in clinical care. [2, 7]
Other subtle patterns of care delivery emerged throughout the day. For instance, we found a decrease in EHR interactions between 12:00 pm and 2:00 pm , likely representing a small lull in clinical activity during the lunchtime hour, whereas EHR interactions were higher in the night and evening hours than in the early morning. The clinical significance of such fluctuations remains undetermined.
Variation throughout the week differed by provider type. Nurses and resident physicians, who are scheduled around the clock, demonstrated the least fluctuation in EHR interaction intensity over time. Attending physicians and other staff showed the greatest variation in weekday versus weekend care.
We defined a second measure of care intensity based on EHR utilization, which we named CPU usage. The advantage of using CPU as a metric is that it easy to measure and track as it is routinely monitored by hospital IT departments as part of regular maintenance. CPU usage can therefore be easily implemented in any institution with an EHR, whereas measuring EHR interactions requires EHR data abstraction and manipulation. The disadvantage of CPU usage as a measure is that it includes nonclinical reporting and other functions and therefore represents a less specific measure of clinical activity. Nonetheless, at our institution, nearly all clinical activities are processed or documented through the EHR, which is maintained on central servers, and CPU usage was well correlated with EHR interactions. We therefore believe that CPU usage represents a useful indicator of hospital clinical activity at a given time.
Several limitations deserve mention. First, EHR interactions may not always reflect actual patient care or clinical documentation. Nonetheless, we also examined specific patient orders and found that variations in these process measures were similar to those in the EHR interaction measure. Second, our methods were developed and evaluated at a single institution and may not be generalizable. Third, increased intensity of care does not necessarily increase quality of care. For instance, laboratory tests are commonly obtained on a daily basis in the hospital, a practice that is costly and often unnecessary. [24] Weekends have been associated with fewer laboratory tests, which may be appropriate as compared to the more frequent testing observed on weekdays. [25] Finally, we do not ascertain whether variations in EHR interactions correlate with clinical outcomes, and believe this to be an area for further research.
In conclusion, EHR interactions represent a new global process measure of care intensity, which was demonstrated to vary over the course of a week. We intend to use this measure at our institution to track progress of an initiative to ensure a high standard of care throughout the course of the week. The extent to which temporal variations in EHR interactions or reductions in these variations are correlated with clinical outcomes deserves further study. We believe this measure, which can be adapted to other institutions, may have a valuable role to play in hospitals' efforts to eliminate excess morbidity and mortality associated with care delivered during nights and weekends.
- Impact of weekend admissions on quality of care and outcomes in patients with acute myeloid leukemia . Cancer. 2010 ; 116 : 3614 – 3620 . , , , et al.
- Impact of time of presentation on the care and outcomes of acute myocardial infarction . Circulation. 2008 ; 117 : 2502 – 2509 . , , , et al.
- Weekend hospital admission and discharge for heart failure: association with quality of care and clinical outcomes . Am Heart J. 2009 ; 158 : 451 – 458 . , , , et al.
- Hospital care for patients experiencing weekend vs weekday stroke: a comparison of quality and aggressiveness of care . Arch Neurol. 2010 ; 67 : 39 – 44 . , , , .
- Weekend versus weekday admission and mortality from myocardial infarction . N Engl J Med. 2007 ; 356 : 1099 – 1109 . , , , , , .
- Do hospitals provide lower quality care on weekends? Health Serv Res. 2007 ; 42 : 1589 – 1612 . .
- Relationship between time of day, day of week, timeliness of reperfusion, and in‐hospital mortality for patients with acute ST‐segment elevation myocardial infarction . JAMA. 2005 ; 294 : 803 – 812 . , , , et al.
- Weekend versus weekday admission and mortality after acute pulmonary embolism . Circulation. 2009 ; 119 : 962 – 968 . , , , , , .
- Influence of weekend hospital admission on short‐term mortality after intracerebral hemorrhage . Stroke. 2009 ; 40 : 2387 – 2392 . , , , , , .
- Weekend hospital admission, acute kidney injury, and mortality . J Am Soc Nephrol. 2010 ; 21 : 845 – 851 . , , , et al.
- Mortality among patients admitted to hospitals on weekends as compared with weekdays . N Engl J Med. 2001 ; 345 : 663 – 668 . , .
- Mortality after noncardiac surgery: prediction from administrative versus clinical data . Med Care. 2005 ; 43 : 159 – 167 . , , , et al.
- Weekend birth and higher neonatal mortality: a problem of patient acuity or quality of care? J Obstet Gynecol Neonatal Nurs. 2003 ; 32 : 724 – 733 . , .
- Analysis of the mortality of patients admitted to internal medicine wards over the weekend . Am J Med Qual. 2010 ; 25 : 312 – 318 . , , , , , .
- Do weekends or evenings matter in a pediatric intensive care unit? Pediatr Crit Care Med. 2005 ; 6 : 523 – 530 . , , , .
- Hospital mortality associated with day and time of admission to intensive care units . Intensive Care Medicine. 2004 ; 30 : 895 – 901 . , , , , .
- Weekend and weeknight admissions have the same outcome of weekday admissions to an intensive care unit with onsite intensivist coverage . Crit Care Med. 2006 ; 34 : 605 – 611 . , , .
- Measuring the intensity of nursing care: making use of the Belgian Nursing Minimum Data Set . Int J Nurs Stud. 2008 ; 45 : 1011 – 1021 . , , , , .
- The relationship between intensity and duration of medical services and outcomes for hospitalized patients . Med Care. 1979 ; 17 : 1088 – 1102 . , , , , .
- Differences in length of hospital stay for Medicaid and Blue Cross patients and the effect of intensity of services . Public Health Rep. 1979 ; 94 : 438 – 445 . .
- Health care's lost weekend. New York Times . October 3, 2010 . Section A, p. 27 . .
- A progress report on electronic health records in U.S. hospitals . Health Aff (Millwood). 2010 ; 29 : 1951 – 1957 . , , , .
- US Department of Health 146 : 524 – 527 .
- Temporal approach to hematological test usage in a major teaching hospital . Lab Hematol. 2003 ; 9 : 207 – 213 . , , .
Hospitals provide acute inpatient care all day and every day. Nonetheless, a number of studies have shown that weekend care may have lower quality than care delivered on weekdays. [1, 2, 3, 4, 5, 6, 7] Weekend care has been associated with increased mortality among patients suffering from a number of conditions [4, 5, 6, 7, 8, 9, 10] and in a number of clinical settings. [11, 12, 13, 14] Findings of poor outcomes on weekends are not universal, though exceptions occur typically in settings where services and clinical staffing are fairly constant throughout the week, such as intensive care units with on‐site intensivists. [15, 16, 17]
These differences in quality and outcomes suggest that there is a difference in intensity of care over the course of the week. Initiatives to address this important safety issue would be strengthened if a shared metric existed to describe the intensity of care provided at a given time of day or day of the week. However, few measures of global hospital intensity of care exist. The metrics that have been developed are limited by measuring only 1 aspect of care delivery, such as weekend nurse staffing, [18] by requiring extensive chart abstraction, [19] or through reliance on hospital expenses in an older payment model. [20] These measures notably predate contemporary hospital care delivery, which is increasingly dependent on the electronic health record (EHR). To our knowledge, no prior measure of hospital care intensity has been described using the EHR.
Recently, our medical center began an initiative to increase weekend services and staffing to create more uniform availability of care throughout the week. The purpose of this study was to develop a global measure of intensity of care using data derived from the EHR as part of the evaluation of this initiative. [21]
METHODS
We conducted a retrospective analysis of EHR activity for hospital inpatients between January 1, 2011 and December 31, 2011 at New York University Langone Medical Center (NYULMC). During that time period, nearly all inpatient clinical activities at NYULMC were performed and documented through the EHR, Sunrise Clinical Manager (Allscripts, Chicago, IL). These activities include clinical documentation, orders, medication administration, and results of diagnostic tests. Access to the EHR is through Citrix Xenapp Servers (Citrix Systems, Santa Clara, CA), which securely deliver applications from central servers to providers' local terminals.
The primary measure of EHR activity, which we refer to as EHR interactions, was defined as the accessing of a patient's electronic record by a clinician. A provider initiates an interaction by opening a patient's electronic record and concludes it by either opening the record of a different patient or logging out of the EHR. An EHR interaction thus captures a unit of direct patient care, such as documenting a clinical encounter, recording medication administration, or reviewing patient data. Most EHR systems routinely log such interactions to enable compliance departments to audit which users have accessed a patient chart.
The secondary measure of EHR activity was percent central processing unit (CPU), which represents the percent of total available server processing power being used by the Citrix servers at a given time. CPU utilization was averaged over an hour to determine the mean percentage of use for any given hour. As CPU data are not retained for more than 30 days at our institution, we examined CPU usage for the period July 1, 2012 to August 31, 2012.
We evaluated subgroups of EHR interactions by provider type: nurses, resident physicians, attending physicians, pharmacy staff, and all others. We also examined EHR interactions for 2 subgroups of patients: those admitted to the medicine service from the emergency room (ER) and those electively admitted to the surgical service. An elective hospitalization was defined as 1 in which the patient was neither admitted from the ER nor transferred from another hospital. These 2 subgroups were further refined to evaluate EHR interactions among groups of patients admitted during the day, night, weekday, and weeknight. Finally, we examined specific EHR orders that we considered reflective of advancing or altering care, including orders to increase the level of mobilization, to insert or remove a urinary catheter, or to initiate or discontinue antibiotics. As antibiotics are frequently initiated on the day of admission and stopped on the day of discharge, we excluded antibiotic orders that occurred on days of admission or discharge.
Statistical Analysis
EHR interactions were presented as hourly rates by dividing the number of patient chart accessions by the inpatient census for each hour. Hourly census was determined by summing the number of patients who were admitted prior to and discharged after the hour of interest. We calculated the arithmetic means of EHR interactions for each hour and day of the week in 2011. Analysis of variance was used to test differences in EHR interactions among days of the week, and t tests were used to test differences in EHR interactions between Saturday and Sunday, Tuesday and Wednesday, and weekend and weekdays. As a result of multiple comparisons in these analyses, we applied a Bonferroni correction.
EHR interaction rates were assigned to 1 of 3 periods based on a priori suspected peak and trough intensity: day (9:00 am to 4:59 pm ), morning/evening (7:00 am to 8:59 am and 5:00 pm to 7:59 pm ), and night (8:00 pm to 6:59 am ). Negative binomial regression models were used to determine the relative rate of weekday to weekend EHR interactions per patient for the 3 daily time periods. Similar models were developed for EHR interactions by provider types and for specific orders.
We calculated the correlation coefficient between total EHR interactions and occurrence of specific orders, EHR interactions by provider type, EHR interactions by patient subgroups, and CPU. A sensitivity analysis was performed in which EHR interactions were calculated as the number of patient chart accessions per number of daily discharges; this analysis considered the fact that discharges were likely to have high associated intensity but may be less common on weekends as compared to weekdays.
All analyses were performed using Stata 12 (StataCorp, College Station, TX). This study was approved by the institutional review board at NYU School of Medicine.
RESULTS
During the study period, the mean (standard deviation) number of EHR interactions per patient per hour was 2.49 (1.30). EHR interactions differed by hour and day of the week; the lowest number occurred in early morning on weekends, and the highest occurred around 11:00 am on weekdays (Figure 1 ). EHR interactions differed among days of the week at all times ( P <0.001), whereas EHR interactions were similar on most hours of Saturday and Sunday as well as Tuesday and Wednesday. At every hour, weekends had a lower number of EHR interactions in comparison to weekdays ( P <0.001). Weekdays showed a substantial increase in the number of EHR interactions between 8:00 am and 12:00 pm , followed by a slight decrease in activity between 12:00 pm and 2:00 pm , and another increase in activity from 2:00 pm to 5:00 pm (Figure 1 ). Weekend days demonstrated marked blunting of this midday peak in intensity. The tracking of an entire month of hospital EHR interactions produced a detailed graphic picture of hospital activity, clearly demarcating rounding hours, lunch hours, weekend days, hospital holidays, and other landmarks (Figure 2 ). The relative rates of census‐adjusted EHR interactions on weekdays versus weekends were 1.76 (95% confidence interval [CI]: 1.74‐1.77) for day, 1.52 (95% CI: 1.50‐1.55) for morning/evening, and 1.14 (95% CI: 1.12‐1.17) for night hours.


Nurses performed the largest number of EHR interactions (39.7%), followed by resident physicians (15.2%), attending physicians (10.2%), and pharmacists (7.6%). The remainder of EHR interactions were performed by other providers (27.4%), whose role in the majority of cases was undefined in the EHR (see Supporting Table 1 in the online version of this article). Daily variation in EHR interactions differed by provider type (Table 1 ). Nurses and resident physicians showed smaller differences in their EHR interactions between weekend and weekdays and among times of day when compared to attending physicians, pharmacy staff, and other staff. EHR interactions showed similar variations to the overall cohort for both medicine patients admitted from the ER and elective surgery patients (Table 1 ). Specific clinical orders designed to sample particularly meaningful interactions, including urinary catheter insertion and removal, patient mobilization orders, and new antibiotic orders, were moderately correlated with total EHR interactions (Table 2 ). In a sensitivity analysis, the comparison of weekday to weekend EHR interactions per daily discharge was similar to the primary analysis, with relative rates of 1.75 (95% CI: 1.73‐1.77), 1.54 (95% CI: 1.50‐1.57), and 1.15 (95% CI: 1.11‐1.18) for day, morning/evening, and night hours, respectively.
Hour Group a | |||||||
---|---|---|---|---|---|---|---|
Daytime Hours | Morning/Evening Hours | Nighttime Hours | Correlation Coefficient to | ||||
Rate Ratio | 95% CI | Rate Ratio | 95% CI | Rate Ratio | 95% CI | EHR Interactions | |
| |||||||
All EHR interactions | 1.76 | 1.74‐1.77 | 1.52 | 1.50‐1.55 | 1.14 | 1.12‐1.17 | 1.00 |
By provider subgroup | |||||||
Nurses | 1.35 | 1.34‐1.37 | 1.21 | 1.20‐1.22 | 1.10 | 1.08‐1.12 | 0.92 |
Residents | 1.38 | 1.36‐1.40 | 1.46 | 1.43‐1.49 | 1.14 | 1.11‐1.18 | 0.90 |
Attending physicians | 1.70 | 1.67‐1.73 | 2.04 | 1.97‐2.10 | 1.32 | 1.26‐1.39 | 0.96 |
Pharmacy staff | 1.64 | 1.61‐1.67 | 1.68 | 1.61‐1.75 | 1.19 | 1.15‐1.23 | 0.90 |
All others | 2.75 | 2.70‐2.79 | 2.08 | 2.002.17 | 1.20 | 1.15‐1.25 | 0.97 |
By admission subgroup | |||||||
Medicine ER admissions | |||||||
All | 1.64 | 1.62‐1.67 | 1.41 | 1.38‐1.44 | 1.07 | 1.04‐1.09 | 0.92 |
Day admissions | 1.64 | 1.62‐1.67 | 1.41 | 1.38‐1.44 | 1.08 | 1.05‐1.11 | 0.92 |
Night admissions | 1.65 | 1.62‐1.68 | 1.41 | 1.37‐1.45 | 1.03 | 1.001.05 | 0.88 |
Weekday admissions | 1.76 | 1.73‐1.79 | 1.56 | 1.52‐1.59 | 1.28 | 1.23‐1.30 | 0.93 |
Weekend admissions | 1.40 | 1.38‐1.42 | 1.14 | 1.11‐1.17 | 0.70 | 0.68‐0.72 | 0.88 |
Surgery elective admissions | |||||||
All | 1.63 | 1.61‐1.65 | 1.53 | 1.50‐1.56 | 1.25 | 1.21‐1.28 | 0.97 |
Day admissions | 1.62 | 1.60‐1.64 | 1.54 | 1.51‐1.57 | 1.26 | 1.23‐1.30 | 0.96 |
Night admissions | 1.65 | 1.62‐1.67 | 1.50 | 1.46‐1.54 | 1.22 | 1.18‐1.25 | 0.94 |
Weekday admissions | 1.64 | 1.62‐1.66 | 1.55 | 1.52‐1.59 | 1.27 | 1.24‐1.31 | 0.96 |
Weekend admissions | 1.60 | 1.56‐1.65 | 1.26 | 1.21‐1.31 | 0.89 | 0.85‐0.93 | 0.73 |
Hour Group a | |||||||
---|---|---|---|---|---|---|---|
Daytime Hours | Morning/Evening Hours | Nighttime Hours | Correlation Coefficient to | ||||
Rate Ratio | 95% CI | Rate Ratio | 95% CI | Rate Ratio | 95% CI | EHR Interactions | |
| |||||||
Urinary catheter | 2.81 | 2.61‐3.02 | 3.17 | 2.85‐3.54 | 1.42 | 1.27‐1.58 | 0.66 |
Mobilization | 2.51 | 2.39‐2.63 | 2.91 | 2.71‐3.12 | 1.42 | 1.34‐1.52 | 0.70 |
Antibiotic initiation b | 1.33 | 1.24‐1.42 | 1.65 | 1.47‐1.85 | 1.13 | 1.01‐1.25 | 0.41 |
Antibiotic discontinue c | 1.74 | 1.63‐1.85 | 1.68 | 1.50‐1.87 | 1.28 | 1.13‐1.45 | 0.61 |
As seen in Figure 3 , CPU usage was well correlated with EHR interactions ( r =0.90) and both metrics were lower on weekends as compared to weekdays. A few outliers of increased CPU usage on weekends were observed; these outliers all occurred on Sundays from 12:00 am to 2:00 am . The information technology (IT) department at our institution confirmed that these outliers coincided with a weekly virus scan performed at that time.

am
and 1:00
am
, which were determined to be outliers related to a weekly virus scan. The correlation coefficient is 0.90.
DISCUSSION
EHR interactions represents a new and accessible measure of hospital care intensity that may be used to track temporal variations in care that are likely to exist in all hospital systems. As the number of hospitals that process and document all clinical activities through the EHR continues to increase, [22, 23] such a measure has the potential to serve as a useful metric in efforts to raise nighttime and weekend care to the same quality as that during weekdays.
We found that EHR interactions differed markedly between days and nights and between weekdays and weekends. A number of prior studies have found temporal variations in clinical outcomes and care. [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] Our study adds to this literature by defining a new measure of the overall intensity of the process of inpatient care. Using this measure, we demonstrate that the increase in midday clinical activity seen during the week is substantially blunted on weekends. This finding adds validity to the designation of both nights and weekends as off hours when examining temporal variations in clinical care. [2, 7]
Other subtle patterns of care delivery emerged throughout the day. For instance, we found a decrease in EHR interactions between 12:00 pm and 2:00 pm , likely representing a small lull in clinical activity during the lunchtime hour, whereas EHR interactions were higher in the night and evening hours than in the early morning. The clinical significance of such fluctuations remains undetermined.
Variation throughout the week differed by provider type. Nurses and resident physicians, who are scheduled around the clock, demonstrated the least fluctuation in EHR interaction intensity over time. Attending physicians and other staff showed the greatest variation in weekday versus weekend care.
We defined a second measure of care intensity based on EHR utilization, which we named CPU usage. The advantage of using CPU as a metric is that it easy to measure and track as it is routinely monitored by hospital IT departments as part of regular maintenance. CPU usage can therefore be easily implemented in any institution with an EHR, whereas measuring EHR interactions requires EHR data abstraction and manipulation. The disadvantage of CPU usage as a measure is that it includes nonclinical reporting and other functions and therefore represents a less specific measure of clinical activity. Nonetheless, at our institution, nearly all clinical activities are processed or documented through the EHR, which is maintained on central servers, and CPU usage was well correlated with EHR interactions. We therefore believe that CPU usage represents a useful indicator of hospital clinical activity at a given time.
Several limitations deserve mention. First, EHR interactions may not always reflect actual patient care or clinical documentation. Nonetheless, we also examined specific patient orders and found that variations in these process measures were similar to those in the EHR interaction measure. Second, our methods were developed and evaluated at a single institution and may not be generalizable. Third, increased intensity of care does not necessarily increase quality of care. For instance, laboratory tests are commonly obtained on a daily basis in the hospital, a practice that is costly and often unnecessary. [24] Weekends have been associated with fewer laboratory tests, which may be appropriate as compared to the more frequent testing observed on weekdays. [25] Finally, we do not ascertain whether variations in EHR interactions correlate with clinical outcomes, and believe this to be an area for further research.
In conclusion, EHR interactions represent a new global process measure of care intensity, which was demonstrated to vary over the course of a week. We intend to use this measure at our institution to track progress of an initiative to ensure a high standard of care throughout the course of the week. The extent to which temporal variations in EHR interactions or reductions in these variations are correlated with clinical outcomes deserves further study. We believe this measure, which can be adapted to other institutions, may have a valuable role to play in hospitals' efforts to eliminate excess morbidity and mortality associated with care delivered during nights and weekends.
Hospitals provide acute inpatient care all day and every day. Nonetheless, a number of studies have shown that weekend care may have lower quality than care delivered on weekdays. [1, 2, 3, 4, 5, 6, 7] Weekend care has been associated with increased mortality among patients suffering from a number of conditions [4, 5, 6, 7, 8, 9, 10] and in a number of clinical settings. [11, 12, 13, 14] Findings of poor outcomes on weekends are not universal, though exceptions occur typically in settings where services and clinical staffing are fairly constant throughout the week, such as intensive care units with on‐site intensivists. [15, 16, 17]
These differences in quality and outcomes suggest that there is a difference in intensity of care over the course of the week. Initiatives to address this important safety issue would be strengthened if a shared metric existed to describe the intensity of care provided at a given time of day or day of the week. However, few measures of global hospital intensity of care exist. The metrics that have been developed are limited by measuring only 1 aspect of care delivery, such as weekend nurse staffing, [18] by requiring extensive chart abstraction, [19] or through reliance on hospital expenses in an older payment model. [20] These measures notably predate contemporary hospital care delivery, which is increasingly dependent on the electronic health record (EHR). To our knowledge, no prior measure of hospital care intensity has been described using the EHR.
Recently, our medical center began an initiative to increase weekend services and staffing to create more uniform availability of care throughout the week. The purpose of this study was to develop a global measure of intensity of care using data derived from the EHR as part of the evaluation of this initiative. [21]
METHODS
We conducted a retrospective analysis of EHR activity for hospital inpatients between January 1, 2011 and December 31, 2011 at New York University Langone Medical Center (NYULMC). During that time period, nearly all inpatient clinical activities at NYULMC were performed and documented through the EHR, Sunrise Clinical Manager (Allscripts, Chicago, IL). These activities include clinical documentation, orders, medication administration, and results of diagnostic tests. Access to the EHR is through Citrix Xenapp Servers (Citrix Systems, Santa Clara, CA), which securely deliver applications from central servers to providers' local terminals.
The primary measure of EHR activity, which we refer to as EHR interactions, was defined as the accessing of a patient's electronic record by a clinician. A provider initiates an interaction by opening a patient's electronic record and concludes it by either opening the record of a different patient or logging out of the EHR. An EHR interaction thus captures a unit of direct patient care, such as documenting a clinical encounter, recording medication administration, or reviewing patient data. Most EHR systems routinely log such interactions to enable compliance departments to audit which users have accessed a patient chart.
The secondary measure of EHR activity was percent central processing unit (CPU), which represents the percent of total available server processing power being used by the Citrix servers at a given time. CPU utilization was averaged over an hour to determine the mean percentage of use for any given hour. As CPU data are not retained for more than 30 days at our institution, we examined CPU usage for the period July 1, 2012 to August 31, 2012.
We evaluated subgroups of EHR interactions by provider type: nurses, resident physicians, attending physicians, pharmacy staff, and all others. We also examined EHR interactions for 2 subgroups of patients: those admitted to the medicine service from the emergency room (ER) and those electively admitted to the surgical service. An elective hospitalization was defined as 1 in which the patient was neither admitted from the ER nor transferred from another hospital. These 2 subgroups were further refined to evaluate EHR interactions among groups of patients admitted during the day, night, weekday, and weeknight. Finally, we examined specific EHR orders that we considered reflective of advancing or altering care, including orders to increase the level of mobilization, to insert or remove a urinary catheter, or to initiate or discontinue antibiotics. As antibiotics are frequently initiated on the day of admission and stopped on the day of discharge, we excluded antibiotic orders that occurred on days of admission or discharge.
Statistical Analysis
EHR interactions were presented as hourly rates by dividing the number of patient chart accessions by the inpatient census for each hour. Hourly census was determined by summing the number of patients who were admitted prior to and discharged after the hour of interest. We calculated the arithmetic means of EHR interactions for each hour and day of the week in 2011. Analysis of variance was used to test differences in EHR interactions among days of the week, and t tests were used to test differences in EHR interactions between Saturday and Sunday, Tuesday and Wednesday, and weekend and weekdays. As a result of multiple comparisons in these analyses, we applied a Bonferroni correction.
EHR interaction rates were assigned to 1 of 3 periods based on a priori suspected peak and trough intensity: day (9:00 am to 4:59 pm ), morning/evening (7:00 am to 8:59 am and 5:00 pm to 7:59 pm ), and night (8:00 pm to 6:59 am ). Negative binomial regression models were used to determine the relative rate of weekday to weekend EHR interactions per patient for the 3 daily time periods. Similar models were developed for EHR interactions by provider types and for specific orders.
We calculated the correlation coefficient between total EHR interactions and occurrence of specific orders, EHR interactions by provider type, EHR interactions by patient subgroups, and CPU. A sensitivity analysis was performed in which EHR interactions were calculated as the number of patient chart accessions per number of daily discharges; this analysis considered the fact that discharges were likely to have high associated intensity but may be less common on weekends as compared to weekdays.
All analyses were performed using Stata 12 (StataCorp, College Station, TX). This study was approved by the institutional review board at NYU School of Medicine.
RESULTS
During the study period, the mean (standard deviation) number of EHR interactions per patient per hour was 2.49 (1.30). EHR interactions differed by hour and day of the week; the lowest number occurred in early morning on weekends, and the highest occurred around 11:00 am on weekdays (Figure 1 ). EHR interactions differed among days of the week at all times ( P <0.001), whereas EHR interactions were similar on most hours of Saturday and Sunday as well as Tuesday and Wednesday. At every hour, weekends had a lower number of EHR interactions in comparison to weekdays ( P <0.001). Weekdays showed a substantial increase in the number of EHR interactions between 8:00 am and 12:00 pm , followed by a slight decrease in activity between 12:00 pm and 2:00 pm , and another increase in activity from 2:00 pm to 5:00 pm (Figure 1 ). Weekend days demonstrated marked blunting of this midday peak in intensity. The tracking of an entire month of hospital EHR interactions produced a detailed graphic picture of hospital activity, clearly demarcating rounding hours, lunch hours, weekend days, hospital holidays, and other landmarks (Figure 2 ). The relative rates of census‐adjusted EHR interactions on weekdays versus weekends were 1.76 (95% confidence interval [CI]: 1.74‐1.77) for day, 1.52 (95% CI: 1.50‐1.55) for morning/evening, and 1.14 (95% CI: 1.12‐1.17) for night hours.


Nurses performed the largest number of EHR interactions (39.7%), followed by resident physicians (15.2%), attending physicians (10.2%), and pharmacists (7.6%). The remainder of EHR interactions were performed by other providers (27.4%), whose role in the majority of cases was undefined in the EHR (see Supporting Table 1 in the online version of this article). Daily variation in EHR interactions differed by provider type (Table 1 ). Nurses and resident physicians showed smaller differences in their EHR interactions between weekend and weekdays and among times of day when compared to attending physicians, pharmacy staff, and other staff. EHR interactions showed similar variations to the overall cohort for both medicine patients admitted from the ER and elective surgery patients (Table 1 ). Specific clinical orders designed to sample particularly meaningful interactions, including urinary catheter insertion and removal, patient mobilization orders, and new antibiotic orders, were moderately correlated with total EHR interactions (Table 2 ). In a sensitivity analysis, the comparison of weekday to weekend EHR interactions per daily discharge was similar to the primary analysis, with relative rates of 1.75 (95% CI: 1.73‐1.77), 1.54 (95% CI: 1.50‐1.57), and 1.15 (95% CI: 1.11‐1.18) for day, morning/evening, and night hours, respectively.
Hour Group a | |||||||
---|---|---|---|---|---|---|---|
Daytime Hours | Morning/Evening Hours | Nighttime Hours | Correlation Coefficient to | ||||
Rate Ratio | 95% CI | Rate Ratio | 95% CI | Rate Ratio | 95% CI | EHR Interactions | |
| |||||||
All EHR interactions | 1.76 | 1.74‐1.77 | 1.52 | 1.50‐1.55 | 1.14 | 1.12‐1.17 | 1.00 |
By provider subgroup | |||||||
Nurses | 1.35 | 1.34‐1.37 | 1.21 | 1.20‐1.22 | 1.10 | 1.08‐1.12 | 0.92 |
Residents | 1.38 | 1.36‐1.40 | 1.46 | 1.43‐1.49 | 1.14 | 1.11‐1.18 | 0.90 |
Attending physicians | 1.70 | 1.67‐1.73 | 2.04 | 1.97‐2.10 | 1.32 | 1.26‐1.39 | 0.96 |
Pharmacy staff | 1.64 | 1.61‐1.67 | 1.68 | 1.61‐1.75 | 1.19 | 1.15‐1.23 | 0.90 |
All others | 2.75 | 2.70‐2.79 | 2.08 | 2.002.17 | 1.20 | 1.15‐1.25 | 0.97 |
By admission subgroup | |||||||
Medicine ER admissions | |||||||
All | 1.64 | 1.62‐1.67 | 1.41 | 1.38‐1.44 | 1.07 | 1.04‐1.09 | 0.92 |
Day admissions | 1.64 | 1.62‐1.67 | 1.41 | 1.38‐1.44 | 1.08 | 1.05‐1.11 | 0.92 |
Night admissions | 1.65 | 1.62‐1.68 | 1.41 | 1.37‐1.45 | 1.03 | 1.001.05 | 0.88 |
Weekday admissions | 1.76 | 1.73‐1.79 | 1.56 | 1.52‐1.59 | 1.28 | 1.23‐1.30 | 0.93 |
Weekend admissions | 1.40 | 1.38‐1.42 | 1.14 | 1.11‐1.17 | 0.70 | 0.68‐0.72 | 0.88 |
Surgery elective admissions | |||||||
All | 1.63 | 1.61‐1.65 | 1.53 | 1.50‐1.56 | 1.25 | 1.21‐1.28 | 0.97 |
Day admissions | 1.62 | 1.60‐1.64 | 1.54 | 1.51‐1.57 | 1.26 | 1.23‐1.30 | 0.96 |
Night admissions | 1.65 | 1.62‐1.67 | 1.50 | 1.46‐1.54 | 1.22 | 1.18‐1.25 | 0.94 |
Weekday admissions | 1.64 | 1.62‐1.66 | 1.55 | 1.52‐1.59 | 1.27 | 1.24‐1.31 | 0.96 |
Weekend admissions | 1.60 | 1.56‐1.65 | 1.26 | 1.21‐1.31 | 0.89 | 0.85‐0.93 | 0.73 |
Hour Group a | |||||||
---|---|---|---|---|---|---|---|
Daytime Hours | Morning/Evening Hours | Nighttime Hours | Correlation Coefficient to | ||||
Rate Ratio | 95% CI | Rate Ratio | 95% CI | Rate Ratio | 95% CI | EHR Interactions | |
| |||||||
Urinary catheter | 2.81 | 2.61‐3.02 | 3.17 | 2.85‐3.54 | 1.42 | 1.27‐1.58 | 0.66 |
Mobilization | 2.51 | 2.39‐2.63 | 2.91 | 2.71‐3.12 | 1.42 | 1.34‐1.52 | 0.70 |
Antibiotic initiation b | 1.33 | 1.24‐1.42 | 1.65 | 1.47‐1.85 | 1.13 | 1.01‐1.25 | 0.41 |
Antibiotic discontinue c | 1.74 | 1.63‐1.85 | 1.68 | 1.50‐1.87 | 1.28 | 1.13‐1.45 | 0.61 |
As seen in Figure 3 , CPU usage was well correlated with EHR interactions ( r =0.90) and both metrics were lower on weekends as compared to weekdays. A few outliers of increased CPU usage on weekends were observed; these outliers all occurred on Sundays from 12:00 am to 2:00 am . The information technology (IT) department at our institution confirmed that these outliers coincided with a weekly virus scan performed at that time.

am
and 1:00
am
, which were determined to be outliers related to a weekly virus scan. The correlation coefficient is 0.90.
DISCUSSION
EHR interactions represents a new and accessible measure of hospital care intensity that may be used to track temporal variations in care that are likely to exist in all hospital systems. As the number of hospitals that process and document all clinical activities through the EHR continues to increase, [22, 23] such a measure has the potential to serve as a useful metric in efforts to raise nighttime and weekend care to the same quality as that during weekdays.
We found that EHR interactions differed markedly between days and nights and between weekdays and weekends. A number of prior studies have found temporal variations in clinical outcomes and care. [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] Our study adds to this literature by defining a new measure of the overall intensity of the process of inpatient care. Using this measure, we demonstrate that the increase in midday clinical activity seen during the week is substantially blunted on weekends. This finding adds validity to the designation of both nights and weekends as off hours when examining temporal variations in clinical care. [2, 7]
Other subtle patterns of care delivery emerged throughout the day. For instance, we found a decrease in EHR interactions between 12:00 pm and 2:00 pm , likely representing a small lull in clinical activity during the lunchtime hour, whereas EHR interactions were higher in the night and evening hours than in the early morning. The clinical significance of such fluctuations remains undetermined.
Variation throughout the week differed by provider type. Nurses and resident physicians, who are scheduled around the clock, demonstrated the least fluctuation in EHR interaction intensity over time. Attending physicians and other staff showed the greatest variation in weekday versus weekend care.
We defined a second measure of care intensity based on EHR utilization, which we named CPU usage. The advantage of using CPU as a metric is that it easy to measure and track as it is routinely monitored by hospital IT departments as part of regular maintenance. CPU usage can therefore be easily implemented in any institution with an EHR, whereas measuring EHR interactions requires EHR data abstraction and manipulation. The disadvantage of CPU usage as a measure is that it includes nonclinical reporting and other functions and therefore represents a less specific measure of clinical activity. Nonetheless, at our institution, nearly all clinical activities are processed or documented through the EHR, which is maintained on central servers, and CPU usage was well correlated with EHR interactions. We therefore believe that CPU usage represents a useful indicator of hospital clinical activity at a given time.
Several limitations deserve mention. First, EHR interactions may not always reflect actual patient care or clinical documentation. Nonetheless, we also examined specific patient orders and found that variations in these process measures were similar to those in the EHR interaction measure. Second, our methods were developed and evaluated at a single institution and may not be generalizable. Third, increased intensity of care does not necessarily increase quality of care. For instance, laboratory tests are commonly obtained on a daily basis in the hospital, a practice that is costly and often unnecessary. [24] Weekends have been associated with fewer laboratory tests, which may be appropriate as compared to the more frequent testing observed on weekdays. [25] Finally, we do not ascertain whether variations in EHR interactions correlate with clinical outcomes, and believe this to be an area for further research.
In conclusion, EHR interactions represent a new global process measure of care intensity, which was demonstrated to vary over the course of a week. We intend to use this measure at our institution to track progress of an initiative to ensure a high standard of care throughout the course of the week. The extent to which temporal variations in EHR interactions or reductions in these variations are correlated with clinical outcomes deserves further study. We believe this measure, which can be adapted to other institutions, may have a valuable role to play in hospitals' efforts to eliminate excess morbidity and mortality associated with care delivered during nights and weekends.
- Impact of weekend admissions on quality of care and outcomes in patients with acute myeloid leukemia . Cancer. 2010 ; 116 : 3614 – 3620 . , , , et al.
- Impact of time of presentation on the care and outcomes of acute myocardial infarction . Circulation. 2008 ; 117 : 2502 – 2509 . , , , et al.
- Weekend hospital admission and discharge for heart failure: association with quality of care and clinical outcomes . Am Heart J. 2009 ; 158 : 451 – 458 . , , , et al.
- Hospital care for patients experiencing weekend vs weekday stroke: a comparison of quality and aggressiveness of care . Arch Neurol. 2010 ; 67 : 39 – 44 . , , , .
- Weekend versus weekday admission and mortality from myocardial infarction . N Engl J Med. 2007 ; 356 : 1099 – 1109 . , , , , , .
- Do hospitals provide lower quality care on weekends? Health Serv Res. 2007 ; 42 : 1589 – 1612 . .
- Relationship between time of day, day of week, timeliness of reperfusion, and in‐hospital mortality for patients with acute ST‐segment elevation myocardial infarction . JAMA. 2005 ; 294 : 803 – 812 . , , , et al.
- Weekend versus weekday admission and mortality after acute pulmonary embolism . Circulation. 2009 ; 119 : 962 – 968 . , , , , , .
- Influence of weekend hospital admission on short‐term mortality after intracerebral hemorrhage . Stroke. 2009 ; 40 : 2387 – 2392 . , , , , , .
- Weekend hospital admission, acute kidney injury, and mortality . J Am Soc Nephrol. 2010 ; 21 : 845 – 851 . , , , et al.
- Mortality among patients admitted to hospitals on weekends as compared with weekdays . N Engl J Med. 2001 ; 345 : 663 – 668 . , .
- Mortality after noncardiac surgery: prediction from administrative versus clinical data . Med Care. 2005 ; 43 : 159 – 167 . , , , et al.
- Weekend birth and higher neonatal mortality: a problem of patient acuity or quality of care? J Obstet Gynecol Neonatal Nurs. 2003 ; 32 : 724 – 733 . , .
- Analysis of the mortality of patients admitted to internal medicine wards over the weekend . Am J Med Qual. 2010 ; 25 : 312 – 318 . , , , , , .
- Do weekends or evenings matter in a pediatric intensive care unit? Pediatr Crit Care Med. 2005 ; 6 : 523 – 530 . , , , .
- Hospital mortality associated with day and time of admission to intensive care units . Intensive Care Medicine. 2004 ; 30 : 895 – 901 . , , , , .
- Weekend and weeknight admissions have the same outcome of weekday admissions to an intensive care unit with onsite intensivist coverage . Crit Care Med. 2006 ; 34 : 605 – 611 . , , .
- Measuring the intensity of nursing care: making use of the Belgian Nursing Minimum Data Set . Int J Nurs Stud. 2008 ; 45 : 1011 – 1021 . , , , , .
- The relationship between intensity and duration of medical services and outcomes for hospitalized patients . Med Care. 1979 ; 17 : 1088 – 1102 . , , , , .
- Differences in length of hospital stay for Medicaid and Blue Cross patients and the effect of intensity of services . Public Health Rep. 1979 ; 94 : 438 – 445 . .
- Health care's lost weekend. New York Times . October 3, 2010 . Section A, p. 27 . .
- A progress report on electronic health records in U.S. hospitals . Health Aff (Millwood). 2010 ; 29 : 1951 – 1957 . , , , .
- US Department of Health 146 : 524 – 527 .
- Temporal approach to hematological test usage in a major teaching hospital . Lab Hematol. 2003 ; 9 : 207 – 213 . , , .
- Impact of weekend admissions on quality of care and outcomes in patients with acute myeloid leukemia . Cancer. 2010 ; 116 : 3614 – 3620 . , , , et al.
- Impact of time of presentation on the care and outcomes of acute myocardial infarction . Circulation. 2008 ; 117 : 2502 – 2509 . , , , et al.
- Weekend hospital admission and discharge for heart failure: association with quality of care and clinical outcomes . Am Heart J. 2009 ; 158 : 451 – 458 . , , , et al.
- Hospital care for patients experiencing weekend vs weekday stroke: a comparison of quality and aggressiveness of care . Arch Neurol. 2010 ; 67 : 39 – 44 . , , , .
- Weekend versus weekday admission and mortality from myocardial infarction . N Engl J Med. 2007 ; 356 : 1099 – 1109 . , , , , , .
- Do hospitals provide lower quality care on weekends? Health Serv Res. 2007 ; 42 : 1589 – 1612 . .
- Relationship between time of day, day of week, timeliness of reperfusion, and in‐hospital mortality for patients with acute ST‐segment elevation myocardial infarction . JAMA. 2005 ; 294 : 803 – 812 . , , , et al.
- Weekend versus weekday admission and mortality after acute pulmonary embolism . Circulation. 2009 ; 119 : 962 – 968 . , , , , , .
- Influence of weekend hospital admission on short‐term mortality after intracerebral hemorrhage . Stroke. 2009 ; 40 : 2387 – 2392 . , , , , , .
- Weekend hospital admission, acute kidney injury, and mortality . J Am Soc Nephrol. 2010 ; 21 : 845 – 851 . , , , et al.
- Mortality among patients admitted to hospitals on weekends as compared with weekdays . N Engl J Med. 2001 ; 345 : 663 – 668 . , .
- Mortality after noncardiac surgery: prediction from administrative versus clinical data . Med Care. 2005 ; 43 : 159 – 167 . , , , et al.
- Weekend birth and higher neonatal mortality: a problem of patient acuity or quality of care? J Obstet Gynecol Neonatal Nurs. 2003 ; 32 : 724 – 733 . , .
- Analysis of the mortality of patients admitted to internal medicine wards over the weekend . Am J Med Qual. 2010 ; 25 : 312 – 318 . , , , , , .
- Do weekends or evenings matter in a pediatric intensive care unit? Pediatr Crit Care Med. 2005 ; 6 : 523 – 530 . , , , .
- Hospital mortality associated with day and time of admission to intensive care units . Intensive Care Medicine. 2004 ; 30 : 895 – 901 . , , , , .
- Weekend and weeknight admissions have the same outcome of weekday admissions to an intensive care unit with onsite intensivist coverage . Crit Care Med. 2006 ; 34 : 605 – 611 . , , .
- Measuring the intensity of nursing care: making use of the Belgian Nursing Minimum Data Set . Int J Nurs Stud. 2008 ; 45 : 1011 – 1021 . , , , , .
- The relationship between intensity and duration of medical services and outcomes for hospitalized patients . Med Care. 1979 ; 17 : 1088 – 1102 . , , , , .
- Differences in length of hospital stay for Medicaid and Blue Cross patients and the effect of intensity of services . Public Health Rep. 1979 ; 94 : 438 – 445 . .
- Health care's lost weekend. New York Times . October 3, 2010 . Section A, p. 27 . .
- A progress report on electronic health records in U.S. hospitals . Health Aff (Millwood). 2010 ; 29 : 1951 – 1957 . , , , .
- US Department of Health 146 : 524 – 527 .
- Temporal approach to hematological test usage in a major teaching hospital . Lab Hematol. 2003 ; 9 : 207 – 213 . , , .
Copyright © 2013 Society of Hospital Medicine
[email protected]
Patients with Psychiatric Comorbidity
Mental illness is highly prevalent, with approximately 30% of the US population meeting criteria for at least 1 disorder.[1] In the medically ill population, psychiatric disease is even more common; a 2005 survey showed that half of all patients visiting primary care physicians met criteria for a mental disorder.[2] Conversely, those with serious mental illness suffer greater medical morbidity than the general population, with higher rates of obesity, diabetes, metabolic syndrome, cardiovascular disease, chronic obstructive pulmonary disease, human immunodeficiency virus, viral hepatitis, and tuberculosis.[3] When acute medical problems arise, those with mental illness endure longer hospitalizations; the presence of a psychiatric disturbance in the general medical setting has been shown to be a robust predictor of increased hospital length of stay.[4, 5]
Because of the strong correlation between medical and mental illness, hospitalists will care for patients with psychiatric disorders. Despite this, internists generally receive a paucity of formal training in the treatment of mental disturbances. One survey of university‐affiliated internal medicine residencies revealed that only 10% of programs offered any kind of modest curriculum in psychiatric education.[6] Regardless of this lack of preparation, hospitalists are called upon at each admission to make decisions that affect the psychiatric treatment of patients on psychotropic medication; namely, they must decide whether to continue or discontinue psychiatric medications. Many physicians reflexively discontinue a patient's chronic medications upon admission to the hospital; one study reported an adjusted odds ratio of between 1.18 and 1.86 for stopping a medication prescribed for a chronic condition.[7]
This review aims to assist the hospitalist in making an informed decision about the continuation of psychotropic medications in the medically ill patient. First, it examines the risks of stopping psychotropic medication, including psychiatric decompensation and discontinuation syndromes. It also explores the challenges of medication continuation in the context of changing pharmacokinetics and emerging side effects. Ultimately, physicians and patients must make collaborative decisions, weighing the risk of medication interactions against the potential adverse effects of psychiatric decompensation.
DISCONTINUATION
Decompensation of Mental Health
Approximately 10% to 15% of patients hospitalized for medical illness require reduction or discontinuation of psychotropic medications because they may be contributing to the clinical presentation.[4] The rate and method of drug discontinuation can affect the course of major psychiatric disorders.[8] A growing number of studies demonstrate high rates of relapse when medications are discontinued in patients suffering from mood disorders, schizophrenia, and anxiety disorders.[9] Abrupt cessation of psychotropics is especially dangerous, leading to a greater chance of destabilization than if medications are tapered. Episodes of active illness even appear to occur more frequently with sudden psychotropic cessation than they would in the natural course of untreated disease. This is true for several classes of psychotropics, including antidepressants, mood stabilizers, and antipsychotics. For example, in a study of pregnant women who suddenly stopped their psychotropic medication (both antidepressants and benzodiazepines), nearly one‐third experienced suicidal ideation.[10] Depression and suicidality have also been documented in bipolar patients who were abruptly taken off of lithium. More commonly, rapid lithium discontinuation in bipolar patients causes mania, with illness relapse as soon as 4 days after cessation.[10] Additionally, abrupt discontinuation of antipsychotics in patients with schizophrenia leads to early, and often severe, psychosis. One study found a relapse rate of 50% within 30 weeks of sudden oral neuroleptic cessation.[11] Furthermore, restarting medications, even at the previous effective dose, may not return the patient to their prior baseline.[12] Psychiatric decompensation in the hospitalized patient can worsen medical outcomes, with decreased adherence to treatment plans. In extreme circumstances, patients may be at risk of self‐harm or suicide.
DRUG‐SPECIFIC DISCONTINUATION SYNDROMES
Antidepressants
Discontinuation of medications presents additional problems, and sudden cessation of psychotropic medications can lead to uncomfortable or even dangerous symptoms. For example, the serotonin discontinuation syndrome has been well documented. Chronic use of serotonin re‐uptake inhibitors (generally greater than 6 to 8 weeks) leads to downregulation of postsynaptic serotonin receptors. When selective serotonin re‐uptake inhibitors (SSRIs) or serotonin‐norepinephrine re‐uptake inhibitors are abruptly stopped, the brain experiences a relative decline in serotonin. Symptoms include a flu‐like illness, nausea, imbalance, insomnia, sensory disturbances, and dysphoria. Onset may be within hours of missing a dose, but typically occurs within 3 days of medication discontinuation. The syndrome is more likely to occur with cessation of medications of shorter half‐life and less likely to occur with medications with a long half‐life, such as fluoxetine (Table 1).[13, 14] The symptoms can be ameliorated with a gradual tapering or reintroduction of the antidepressant.[15] Untreated symptoms resolve in 1 to 2 weeks. Although the syndrome in isolation is not life‐threatening, a number of the symptoms can complicate medical illness and muddle diagnosis of other diseases.[14, 16]
Medication | Half‐Life (Hours) |
---|---|
| |
SSRIs | |
Fluoxetine | 84144 |
Paroxetine | 21 |
Sertraline | 26 |
Citalopram | 35 |
Escitalopram | 2732 |
Fluvoxamine | 15 |
SNRIs | |
Venlafaxine | 313 |
Duloxetine | 1116 |
Older antidepressants, including the tricyclic antidepressants (TCAs) and monoamine oxidase inhibitors (MAOIs), have serotonergic effects, and thus discontinuation may cause the symptoms described above. However, these agents also have effects on other neurotransmitters. The TCAs block muscarinic cholinergic receptors, leading to upregulation. Abrupt cessation can lead to cholinergic rebound, with parkinsonism and mania emerging. Multiple case reports document improvement in these symptoms with an anticholinergic agent, such as benztropine.[17, 18] MAOIs lead to changes in ‐2 adrenergic and dopaminergic receptors. Sudden discontinuation has been associated with agitation, delirium, and psychosis; 1 case report even documents catatonia associated with autonomic instability.[19]
In addition, sudden discontinuation of antidepressants (including the SSRIs) may provoke mania or hypomania in some patients, regardless of whether they have experienced previous spontaneous manic episodes.[8]
Neuroleptics
Data for an antipsychotic withdrawal syndrome are less convincing than those for serotonergic agents. However, certain symptoms have been associated with abrupt neuroleptic discontinuation. Most frequently, gastrointestinal distress and diaphoresis are described. Anxiety, agitation, and insomnia are also common. These symptoms are thought to be associated with cholinergic rebound, mediated by direct effects of neuroleptics on muscarinic receptors or indirectly through dopamine receptor blockade and the dopamine‐cholinergic balance. Symptoms may be more severe when antimuscarinic, antiparkinsonism drugs are simultaneously stopped. Some authors argue that the timing of symptom onset can differentiate antipsychotic withdrawal from illness relapse, with discontinuation syndrome occurring within the first 7 days of medication cessation.[20]
Additionally, abrupt cessation of antipsychotics may be associated with rapid‐onset psychosis. The data are strongest for clozapine discontinuation, where overall incidence is approximately 20%. This is hypothesized to be mediated by dopamine receptor upregulation and subsequent hypersensitivity to endogenous dopamine. The emerging psychosis is purportedly distinct from the underlying illness. Episodes have been described in patients on chronic metoclopramide who have no prior psychiatric history, as well as in patients with bipolar disorder without psychosis prior to neuroleptic discontinuation.[21]
Movement disorders may emerge during neuroleptic discontinuation. Both parkinsonism and dyskinesias have been described. In some patients, dyskinesias resolve within weeks of drug discontinuation; however, others experience permanent symptoms, termed covert dyskinesia.[22] In rare circumstances, dyskinesias may affect the respiratory muscles, causing distress. Several case reports of withdrawal‐emergent respiratory dyskinesia have been reported following risperidone cessation.[23, 24, 25] Additionally, several case reports have described catatonia occurring after abrupt discontinuation of clozapine. In all cases, symptoms promptly resolved with reinitiation of clozapine.[26]
Neuroleptic malignant syndrome (NMS) is a rare but potentially fatal complication of antipsychotic administration. Symptoms include fever, rigidity, autonomic instability, and mental status changes.[27] Though NMS is hypothesized to occur due to dopamine receptor blockade, rare cases of NMS have also been reported with abrupt cessation of neuroleptics. Of the 8 case reports in the literature, 1 resulted in death.[22, 28]
Mood Stabilizers
Though some of the atypical antipsychotics are used to treat bipolar disorder, mood stabilizers are the mainstay of pharmacotherapy. The most commonly used mood stabilizers are lithium, valproic acid, lamotrigine, topirimate, carbamezapine, and oxcarbazepine. When mood stabilizers are discontinued, patients are at risk of psychiatric relapse, as documented above. However, withdrawal symptoms have not been commonly documented upon abrupt discontinuation of lithium or the anticonvulsants used to treat bipolar disorder.[29, 30]
Benzodiazepines
Benzodiazepines are widely prescribed for insomnia and anxiety. Chronic legal use of benzodiazepines is approximately 2% in the general population.[31] Like ethanol, benzodiazepines bind nonselectively to the GABA‐A receptor, resulting in downregulation of GABA receptors and compensatory increased N‐methyl‐D‐aspartate transmission. Sudden discontinuation of benzodiazepines results in a syndrome that mirrors that of alcohol withdrawal. Symptoms range from mild (tremor, insomnia, and anxiety) to life‐threatening (seizures, delirium, and autonomic instability). Serious withdrawal is more likely with substances of shorter half‐life and with higher chronic doses. Onset often occurs between 2 and 10 days after discontinuation, depending on the half‐life of the benzodiazepine.[32] Other rare serious reactions have been documented following abrupt benzodiazepine cessation, including NMS and catatonia.[30]
CONTINUATION
Reflexive discontinuation of psychotropic medications can clearly lead to adverse outcomes. However, when hospitalists decide to continue a patient's psychotropic medications, they must also be cognizant of potential complications. Modifications may be necessary because of hepatic, renal, or cardiac disease. In addition, physicians need to be aware of drug‐drug interactions. Pharmacotherapy for medically ill elderly patients may require dose modifications to account for an increased lipophilic volume of distribution and a decreased rate of metabolism.[33] Finally, pregnancy can present additional challenges regarding dose modifications and teratogenicity.
On the other hand, hospitalists must be aware that continuing a patient's psychotropic medication may not be the cause of new psychiatric symptoms. Drugs prescribed for medical disorders (eg, corticosteroids) often cause psychiatric symptoms. In addition, psychiatric symptoms may emerge at times of nonpsychotropic medication withdrawal or due to nonpsychotropic drug‐drug interactions.[4] Groups of medications commonly associated with psychiatric disturbances include analgesics, sedatives, anesthetics, anticonvulsants, and anticholinergics.
PHARMACOKINETICS: PSYCHOTROPIC TOXICITY
Medical illness alters the body's steady state, and renal or hepatic metabolism may be impaired when a patient requires hospitalization. Additionally, new medications may increase the effects of psychotropics, whether by intrinsic augmentation of effect or decreased psychotropic clearance. Ultimately, these changes can lead to psychotropic toxicity.
Specific toxicities merit discussion. First, serotonin syndrome is a potentially fatal condition. The majority of cases occur with synergistic serotonergic medication administration, though there are case reports of the syndrome occurring with addition of inhibitors of cytochrome p450 2D6 and/or 3A4 to SSRIs. A large number of medications from different classes have been indicated (Table 2).[34] Symptoms generally occur within 24 hours of medication administration and include mental status changes, autonomic instability, and neuromuscular hyperactivity. When serotonin syndrome is suspected, the offending agent should be discontinued immediately. There is no definitive treatment, though supportive care can be lifesaving.[34]
Amphetamines and Derivatives | Antidepressants and Mood Stabilizers | Antimigraine Drugs | Analgesics | Antiemetics | Miscellaneous |
---|---|---|---|---|---|
| |||||
MDMA | Buspirone | Ergot alkaloids | Cyclobenzaprine | Metoclopramide | Cocaine |
Dextroamphetamine | Carbamazepine | Triptans | Fentanyl | Ondansetron | Dextromethorphan |
Methamphetamine | Lithium | Meperidine | Linezolid | ||
Sibutramine | MAOIs | Tramadol | L‐tryptophan | ||
SSRIs | 5‐hydroxytrytophan | ||||
SNRIs | |||||
Serotonin 2A receptor blockers (eg, trazodone) | |||||
St. John's Wort | |||||
TCAs | |||||
Valproic Acid |
In addition to serotonin syndrome, hypertensive emergency may occur due to drug interactions with MAOIs. MAOIs inhibit the enzyme monoamine oxidase, resulting in elevated levels of serotonin, histamine, and catecholamines in the blood. Coadministration of MAOIs and sympathomimetic agents (such as cough suppressants and analgesics) may dangerously increase adrenergic stimulation, elevating blood pressure to the point of end‐organ damage. Please see Table 3 for a full list of drugs indicated in MAOI‐associated hypertensive crisis.[35] To ensure safety, it is recommended that MAOIs be discontinued for 14 days prior to introducing medications with sympathomimetic properties, and vice versa. Because of its longer half‐life, a 5‐week washout period is recommended for fluoxetine.[35]
|
Amphetamines |
Analgesics: meperedine |
Anesthetics |
Antidepressants: buproprion, buspirone, other MAOIs, SSRIs, SNRIs, TCAs, |
Mirtazapine |
Cocaine |
Dibenzazepine‐related agents: carbamezapine, cyclobenzaprine, perphenazine |
Female sex steroids |
Sympathomimetics: dopamine, epinephrine, levodopa, methyldopa, methylphenidate, norepinephrine, phenylalanine, reserpine, tyrosine, tryptophan |
Other vasoconstrictors: pseudoephedrine, phenylephrine, phenylpropanolamine, ephedrine |
Lithium toxicity may result from changing patient pharmacokinetics. Lithium is almost entirely renally excreted, and acute kidney injury may precipitously raise serum levels. Within the renal collecting system, lithium is handled similarly to sodium, with 80% reabsorbed from the proximal tubule to the collecting duct. Thus, factors that decrease glomerular filtration rate (GFR) and increase proximal tubule absorption will increase serum lithium levels. For example, decreased effective arterial volume (due to dehydration, cirrhosis, nephrotic syndrome, or heart failure) may elevate lithium levels. Additionally, medications that decrease GFR may increase lithium reabsorption. These include nonsteroidal anti‐inflammatory drugs, angiotensin‐converting enzyme inhibitors, and thiazide diuretics. Because of lithium's narrow therapeutic index, small elevations in serum levels can lead to toxicity. Severity of intoxication correlates with serum concentration. Symptoms range from lethargy, weakness, tremor, ataxia, and gastrointestinal distress to coma, seizures, renal failure, and death. Toxicity is also associated with electrocardiograph (ECG) changes, including ST‐segment depression and T‐wave inversion in the lateral precordial leads. Sinus node dysfunction can also occur. Definitive treatment for lithium toxicity is hemodialysis.[36]
Though the therapeutic index is much wider for valproic acid than for lithium, valproate toxicity may also occur in the medically ill patient with previously stable serum levels. Valproic acid is highly protein‐bound at therapeutic levels, and is metabolized largely through hepatic glucuronidation. Initiation of medications that compete for protein‐binding sites, including aspirin, has led to valproate toxicity. Moreover, acute liver failure or addition of drugs that compete with hepatic microsomal enzymes may lead to decreased excretion of valproic acid. Poisoning may result in central nervous system (CNS) and respiratory depression, hypotension, cerebral edema, and pancreatitis. True hepatoxicity is rare, though hyperammonemia is widely documented. Thrombocytopenia is the most common hematologic abnormality associated with overdose. However, thrombocytopenia may also occur without complication in patients on stable therapeutic doses. Treatment is largely supportive, though hemoperfusion and hemodialysis may be used when serum levels are >300 g/mL, as only 35% of the drug is protein‐bound at that level. Naloxone has been shown in case reports to reverse valproic acid‐induced coma, and L‐carnitine has been increasingly recommended for hyperammonemia.[37, 38]
PHARMACOKINETICS: DRUG‐DRUG INTERACTIONS
As discussed above, the addition of a new medication can increase previously stable levels of psychotropic drugs, leading to toxicity. Conversely, mental health medications can alter the expected metabolism of a drug being used to treat acute medical illness. Many psychotropics are metabolized via the cytochrome p450 enzyme, particularly the SSRIs (Table 4).[39] A number of antimicrobial and antiarrythmic medications are also cleared via this route, leading to potential toxic or subtherapeutic levels when drug‐drug interactions occur.
CYP 1A2 | CYP 2B6 | CYP 2C9 | CYP 2C19 | CYP 2D6 | CYP 3A4/3A5/3A7 |
---|---|---|---|---|---|
Clozapine | Bupropion | Amitriptyline | Phenytoin | Antidepressants | Alprazolam |
Duloxetine | Methadone | Fluoxetine | Amitriptyline | Amitriptyline | Diazepam |
Fluvoxamine | Phenytoin | Citalopram | Clomipramine | Midazolam | |
Haloperidol | Clomipramine | Duloxetine | Aripiprazole | ||
Imipramine | Diazepam | Desipramine | Buspirone | ||
Olanzapine | Imipramine | Fluoxetine | Haldol | ||
Ramelteon | Fluvoxamine | Quetiapine | |||
Imipramine | Ziprasidone | ||||
Nortriptyline | Zolpidem | ||||
Paroxetine | Dextromethorphan | ||||
Venlafaxine | |||||
Antipsychotics | |||||
Aripiprazole | |||||
Clorpromazine | |||||
Haldol | |||||
Perphenazine | |||||
Risperidone |
PSYCHOTROPIC ADVERSE EFFECTS
Psychotropic medications may also cause side effects that contribute to the clinical presentation, requiring ongoing monitoring, a dose reduction, or psychotropic discontinuation. Potential adverse effects that commonly impact psychopharmacologic management include anticholinergic side effects, cardiac effects, and sedation.
ANTICHOLINERGIC EFFECTS AND TOXICITY
Newly emerging anticholinergic effects may be particularly troubling. Dry mouth may cause swallowing difficulty and aspiration. Pupillary dilatation and dry eyes can increase risk of falls. Constipation may evolve into fecal impaction, and urinary retention can contribute to increased catheter use and infection. CNS effects are perhaps the most serious, ranging from drowsiness and memory impairment to frank delirium.[40]
Many psychotropic drugs are anti cholinergic. Among the antidepressants, the TCAs and paroxetine have the highest anticholinergic activity. Anticholinergic effects have also been reported with the low potency first generation neuroleptics and with the atypical antipsychotics olanzapine and clozapine. Additionally, medications used to treat the extrapyramidal symptoms associated with antipsychotics (such as benztropine and diphenhydramine) are strongly anticholinergic.[41] Patients without previous overt anticholinergic symptoms from these medications may experience adverse effects when hospitalized. Medical illness or new medications may alter psychotropic drug metabolism and elimination, leading to accumulation of their anticholinergic effects. Many medications used in the hospital also have intrinsic anticholinergic activity. These include some antiemetics, antispasmodics, antiarrhythmics, and histamine H2 receptor blockers. Elderly patients are particularly prone to anticholinergic effects due to age‐related deficits in cholinergic transmission.[40]
QTc PROLONGATION
QTc prolongation is a potentially lethal side effect of certain medications. Prolonged QTc increases the risk of cardiac mortality and sudden death, presumably related to onset of torsades de pointe. Certain antidepressants have consistently been associated with QTc prolongation, particularly the TCAs. In addition, the US Food and Drug Administration recently issued the recommendation that the SSRI citalopram not be used at doses >40 mg (and 20 mg in those with hepatic impairment or age >60 years) due to results of a randomized controlled trial that showed a dose‐response increase in QTc. Antipsychotic medications have also been shown to increase QTc, with the greatest evidence for thioridazine and the first‐generation, low‐potency neuroleptics. Haloperidol (particularly the intravenous formulation) has also been linked to both long QTc and torsades, though data may be confounded by the degree of medical illness of patients receiving the medication.[42] Of the atypicals, ziprasidone causes the greatest QTc prolongation.[43] However, a large retrospective cohort study showed similar risk increase of sudden cardiac death (2‐fold) among all antipsychotics (including typicals and atypicals) when examined individually.[44]
Additional risk factors for QTc prolongation abound in the hospitalized patient. These include many medical problems, including electrolyte abnormalities, heart conditions, renal and hepatic dysfunction, and CNS injury. Hospitalized patients are also exposed to the cumulative effects of medications that increase duration of QTc, such as class I and class III antiarrhythmics. Additionally, certain antimicrobials, including macrolide antibiotics and antifungals, have been associated with QTc prolongation via pharmacokinetic interactions.
Because of this, QTc should be measured upon admission in patients on stable doses of psychotropics that predispose to prolongation. Addition of other medications known to contribute to increased QTc should prompt further ECGs. Electrolytes, particularly potassium and magnesium, should be aggressively repleted. When QTc extends beyond 500 ms, consideration should be given to discontinuing or changing medications that can contribute to QTc prolongation (whether psychotropics or drugs used to treat acute medical problems).[42]
SEDATION
Sedation is another potential side effect of psychotropic medications. Although sedation is beneficial for agitation and anxiety, sedated patients may be unable to participate in treatment. They are also at greater risk of aspiration and falls.
Antipsychotics cause sedation through antagonism of 1 adrenergic and H1 histaminergic receptors. Effects are most pronounced with the low‐potency, first‐generation antipsychotics and the atypicals quetiapine and clozapine. Some antidepressants, including the TCAs and mirtazapine, also cause somnolence by histamine H1‐receptor antagonism. If a patient has been psychiatrically stable on a particular antipsychotic or antidepressant, but has psychotropic‐induced sedation that interferes with treatment, hospitalists may want to consider temporarily decreasing the dose.
Benzodiazepines induce sedation by increasing ‐aminobutyric acid‐ergic transmission. There is significant overlap between anxiolytic and sedating doses of benzodiazepines. The amount of sedation is related to dose, speed of absorption, and onset of CNS penetration. Thus, sedation may be minimized by using a lower dose or switching to an equivalent dose of a slower‐onset benzodiazepine.[45, 46]
CONCLUSION
The decision to continue or discontinue psychotropic medications is often challenging. It requires the hospitalist to carefully weigh the risks and benefits of the ongoing treatment versus discontinuation, while also considering the patient's preference whenever possible. Sudden cessation of psychotropics can lead to a number of unwanted complications, from mild withdrawal to life‐threatening autonomic instability and psychiatric decompensation. Yet psychotropic continuation can also lead to unwanted drug‐drug interactions and newly emergent side effects.
To improve patient safety and outcomes, hospitalists must take a cautious and well‐thought out approach to treating patients on psychotropic drugs. Reflexive cessation of home medications must be avoided. If hepatic or renal insufficiency develops, medication doses may need to be adjusted. When available, drug levels should guide dose adjustments. If side effects occur, the patient's medication list should be carefully reviewed for potential drug‐drug interactions. Maintaining mental health may mean substituting another drug for one that interferes with home psychotropic medications. Psychotropic doses may also be minimized to decrease side effects. When a psychotropic must be discontinued, tapering is recommended over an abrupt discontinuation, except in the case of an acute toxicity. Moreover, cross‐titration to another effective agent may prevent psychiatric decompensation.
Additionally, hospitalists should use all available resources when deciding on a patient's psychotropic regimen. Mobile devices and online resources can assist with pharmacokinetics. Pharmacists can help with more complex questions or potential drug substitutions. Consultation‐liaison psychiatrists can be a valuable resource in ensuring the safety and stability of a patient with psychiatric comorbidity within the medical environment. The consultant may assist by assessing a patient's current psychiatric state and recommending psychotropic medication changes when needed.
Disclosure
Nothing to report.
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Mental illness is highly prevalent, with approximately 30% of the US population meeting criteria for at least 1 disorder.[1] In the medically ill population, psychiatric disease is even more common; a 2005 survey showed that half of all patients visiting primary care physicians met criteria for a mental disorder.[2] Conversely, those with serious mental illness suffer greater medical morbidity than the general population, with higher rates of obesity, diabetes, metabolic syndrome, cardiovascular disease, chronic obstructive pulmonary disease, human immunodeficiency virus, viral hepatitis, and tuberculosis.[3] When acute medical problems arise, those with mental illness endure longer hospitalizations; the presence of a psychiatric disturbance in the general medical setting has been shown to be a robust predictor of increased hospital length of stay.[4, 5]
Because of the strong correlation between medical and mental illness, hospitalists will care for patients with psychiatric disorders. Despite this, internists generally receive a paucity of formal training in the treatment of mental disturbances. One survey of university‐affiliated internal medicine residencies revealed that only 10% of programs offered any kind of modest curriculum in psychiatric education.[6] Regardless of this lack of preparation, hospitalists are called upon at each admission to make decisions that affect the psychiatric treatment of patients on psychotropic medication; namely, they must decide whether to continue or discontinue psychiatric medications. Many physicians reflexively discontinue a patient's chronic medications upon admission to the hospital; one study reported an adjusted odds ratio of between 1.18 and 1.86 for stopping a medication prescribed for a chronic condition.[7]
This review aims to assist the hospitalist in making an informed decision about the continuation of psychotropic medications in the medically ill patient. First, it examines the risks of stopping psychotropic medication, including psychiatric decompensation and discontinuation syndromes. It also explores the challenges of medication continuation in the context of changing pharmacokinetics and emerging side effects. Ultimately, physicians and patients must make collaborative decisions, weighing the risk of medication interactions against the potential adverse effects of psychiatric decompensation.
DISCONTINUATION
Decompensation of Mental Health
Approximately 10% to 15% of patients hospitalized for medical illness require reduction or discontinuation of psychotropic medications because they may be contributing to the clinical presentation.[4] The rate and method of drug discontinuation can affect the course of major psychiatric disorders.[8] A growing number of studies demonstrate high rates of relapse when medications are discontinued in patients suffering from mood disorders, schizophrenia, and anxiety disorders.[9] Abrupt cessation of psychotropics is especially dangerous, leading to a greater chance of destabilization than if medications are tapered. Episodes of active illness even appear to occur more frequently with sudden psychotropic cessation than they would in the natural course of untreated disease. This is true for several classes of psychotropics, including antidepressants, mood stabilizers, and antipsychotics. For example, in a study of pregnant women who suddenly stopped their psychotropic medication (both antidepressants and benzodiazepines), nearly one‐third experienced suicidal ideation.[10] Depression and suicidality have also been documented in bipolar patients who were abruptly taken off of lithium. More commonly, rapid lithium discontinuation in bipolar patients causes mania, with illness relapse as soon as 4 days after cessation.[10] Additionally, abrupt discontinuation of antipsychotics in patients with schizophrenia leads to early, and often severe, psychosis. One study found a relapse rate of 50% within 30 weeks of sudden oral neuroleptic cessation.[11] Furthermore, restarting medications, even at the previous effective dose, may not return the patient to their prior baseline.[12] Psychiatric decompensation in the hospitalized patient can worsen medical outcomes, with decreased adherence to treatment plans. In extreme circumstances, patients may be at risk of self‐harm or suicide.
DRUG‐SPECIFIC DISCONTINUATION SYNDROMES
Antidepressants
Discontinuation of medications presents additional problems, and sudden cessation of psychotropic medications can lead to uncomfortable or even dangerous symptoms. For example, the serotonin discontinuation syndrome has been well documented. Chronic use of serotonin re‐uptake inhibitors (generally greater than 6 to 8 weeks) leads to downregulation of postsynaptic serotonin receptors. When selective serotonin re‐uptake inhibitors (SSRIs) or serotonin‐norepinephrine re‐uptake inhibitors are abruptly stopped, the brain experiences a relative decline in serotonin. Symptoms include a flu‐like illness, nausea, imbalance, insomnia, sensory disturbances, and dysphoria. Onset may be within hours of missing a dose, but typically occurs within 3 days of medication discontinuation. The syndrome is more likely to occur with cessation of medications of shorter half‐life and less likely to occur with medications with a long half‐life, such as fluoxetine (Table 1).[13, 14] The symptoms can be ameliorated with a gradual tapering or reintroduction of the antidepressant.[15] Untreated symptoms resolve in 1 to 2 weeks. Although the syndrome in isolation is not life‐threatening, a number of the symptoms can complicate medical illness and muddle diagnosis of other diseases.[14, 16]
Medication | Half‐Life (Hours) |
---|---|
| |
SSRIs | |
Fluoxetine | 84144 |
Paroxetine | 21 |
Sertraline | 26 |
Citalopram | 35 |
Escitalopram | 2732 |
Fluvoxamine | 15 |
SNRIs | |
Venlafaxine | 313 |
Duloxetine | 1116 |
Older antidepressants, including the tricyclic antidepressants (TCAs) and monoamine oxidase inhibitors (MAOIs), have serotonergic effects, and thus discontinuation may cause the symptoms described above. However, these agents also have effects on other neurotransmitters. The TCAs block muscarinic cholinergic receptors, leading to upregulation. Abrupt cessation can lead to cholinergic rebound, with parkinsonism and mania emerging. Multiple case reports document improvement in these symptoms with an anticholinergic agent, such as benztropine.[17, 18] MAOIs lead to changes in ‐2 adrenergic and dopaminergic receptors. Sudden discontinuation has been associated with agitation, delirium, and psychosis; 1 case report even documents catatonia associated with autonomic instability.[19]
In addition, sudden discontinuation of antidepressants (including the SSRIs) may provoke mania or hypomania in some patients, regardless of whether they have experienced previous spontaneous manic episodes.[8]
Neuroleptics
Data for an antipsychotic withdrawal syndrome are less convincing than those for serotonergic agents. However, certain symptoms have been associated with abrupt neuroleptic discontinuation. Most frequently, gastrointestinal distress and diaphoresis are described. Anxiety, agitation, and insomnia are also common. These symptoms are thought to be associated with cholinergic rebound, mediated by direct effects of neuroleptics on muscarinic receptors or indirectly through dopamine receptor blockade and the dopamine‐cholinergic balance. Symptoms may be more severe when antimuscarinic, antiparkinsonism drugs are simultaneously stopped. Some authors argue that the timing of symptom onset can differentiate antipsychotic withdrawal from illness relapse, with discontinuation syndrome occurring within the first 7 days of medication cessation.[20]
Additionally, abrupt cessation of antipsychotics may be associated with rapid‐onset psychosis. The data are strongest for clozapine discontinuation, where overall incidence is approximately 20%. This is hypothesized to be mediated by dopamine receptor upregulation and subsequent hypersensitivity to endogenous dopamine. The emerging psychosis is purportedly distinct from the underlying illness. Episodes have been described in patients on chronic metoclopramide who have no prior psychiatric history, as well as in patients with bipolar disorder without psychosis prior to neuroleptic discontinuation.[21]
Movement disorders may emerge during neuroleptic discontinuation. Both parkinsonism and dyskinesias have been described. In some patients, dyskinesias resolve within weeks of drug discontinuation; however, others experience permanent symptoms, termed covert dyskinesia.[22] In rare circumstances, dyskinesias may affect the respiratory muscles, causing distress. Several case reports of withdrawal‐emergent respiratory dyskinesia have been reported following risperidone cessation.[23, 24, 25] Additionally, several case reports have described catatonia occurring after abrupt discontinuation of clozapine. In all cases, symptoms promptly resolved with reinitiation of clozapine.[26]
Neuroleptic malignant syndrome (NMS) is a rare but potentially fatal complication of antipsychotic administration. Symptoms include fever, rigidity, autonomic instability, and mental status changes.[27] Though NMS is hypothesized to occur due to dopamine receptor blockade, rare cases of NMS have also been reported with abrupt cessation of neuroleptics. Of the 8 case reports in the literature, 1 resulted in death.[22, 28]
Mood Stabilizers
Though some of the atypical antipsychotics are used to treat bipolar disorder, mood stabilizers are the mainstay of pharmacotherapy. The most commonly used mood stabilizers are lithium, valproic acid, lamotrigine, topirimate, carbamezapine, and oxcarbazepine. When mood stabilizers are discontinued, patients are at risk of psychiatric relapse, as documented above. However, withdrawal symptoms have not been commonly documented upon abrupt discontinuation of lithium or the anticonvulsants used to treat bipolar disorder.[29, 30]
Benzodiazepines
Benzodiazepines are widely prescribed for insomnia and anxiety. Chronic legal use of benzodiazepines is approximately 2% in the general population.[31] Like ethanol, benzodiazepines bind nonselectively to the GABA‐A receptor, resulting in downregulation of GABA receptors and compensatory increased N‐methyl‐D‐aspartate transmission. Sudden discontinuation of benzodiazepines results in a syndrome that mirrors that of alcohol withdrawal. Symptoms range from mild (tremor, insomnia, and anxiety) to life‐threatening (seizures, delirium, and autonomic instability). Serious withdrawal is more likely with substances of shorter half‐life and with higher chronic doses. Onset often occurs between 2 and 10 days after discontinuation, depending on the half‐life of the benzodiazepine.[32] Other rare serious reactions have been documented following abrupt benzodiazepine cessation, including NMS and catatonia.[30]
CONTINUATION
Reflexive discontinuation of psychotropic medications can clearly lead to adverse outcomes. However, when hospitalists decide to continue a patient's psychotropic medications, they must also be cognizant of potential complications. Modifications may be necessary because of hepatic, renal, or cardiac disease. In addition, physicians need to be aware of drug‐drug interactions. Pharmacotherapy for medically ill elderly patients may require dose modifications to account for an increased lipophilic volume of distribution and a decreased rate of metabolism.[33] Finally, pregnancy can present additional challenges regarding dose modifications and teratogenicity.
On the other hand, hospitalists must be aware that continuing a patient's psychotropic medication may not be the cause of new psychiatric symptoms. Drugs prescribed for medical disorders (eg, corticosteroids) often cause psychiatric symptoms. In addition, psychiatric symptoms may emerge at times of nonpsychotropic medication withdrawal or due to nonpsychotropic drug‐drug interactions.[4] Groups of medications commonly associated with psychiatric disturbances include analgesics, sedatives, anesthetics, anticonvulsants, and anticholinergics.
PHARMACOKINETICS: PSYCHOTROPIC TOXICITY
Medical illness alters the body's steady state, and renal or hepatic metabolism may be impaired when a patient requires hospitalization. Additionally, new medications may increase the effects of psychotropics, whether by intrinsic augmentation of effect or decreased psychotropic clearance. Ultimately, these changes can lead to psychotropic toxicity.
Specific toxicities merit discussion. First, serotonin syndrome is a potentially fatal condition. The majority of cases occur with synergistic serotonergic medication administration, though there are case reports of the syndrome occurring with addition of inhibitors of cytochrome p450 2D6 and/or 3A4 to SSRIs. A large number of medications from different classes have been indicated (Table 2).[34] Symptoms generally occur within 24 hours of medication administration and include mental status changes, autonomic instability, and neuromuscular hyperactivity. When serotonin syndrome is suspected, the offending agent should be discontinued immediately. There is no definitive treatment, though supportive care can be lifesaving.[34]
Amphetamines and Derivatives | Antidepressants and Mood Stabilizers | Antimigraine Drugs | Analgesics | Antiemetics | Miscellaneous |
---|---|---|---|---|---|
| |||||
MDMA | Buspirone | Ergot alkaloids | Cyclobenzaprine | Metoclopramide | Cocaine |
Dextroamphetamine | Carbamazepine | Triptans | Fentanyl | Ondansetron | Dextromethorphan |
Methamphetamine | Lithium | Meperidine | Linezolid | ||
Sibutramine | MAOIs | Tramadol | L‐tryptophan | ||
SSRIs | 5‐hydroxytrytophan | ||||
SNRIs | |||||
Serotonin 2A receptor blockers (eg, trazodone) | |||||
St. John's Wort | |||||
TCAs | |||||
Valproic Acid |
In addition to serotonin syndrome, hypertensive emergency may occur due to drug interactions with MAOIs. MAOIs inhibit the enzyme monoamine oxidase, resulting in elevated levels of serotonin, histamine, and catecholamines in the blood. Coadministration of MAOIs and sympathomimetic agents (such as cough suppressants and analgesics) may dangerously increase adrenergic stimulation, elevating blood pressure to the point of end‐organ damage. Please see Table 3 for a full list of drugs indicated in MAOI‐associated hypertensive crisis.[35] To ensure safety, it is recommended that MAOIs be discontinued for 14 days prior to introducing medications with sympathomimetic properties, and vice versa. Because of its longer half‐life, a 5‐week washout period is recommended for fluoxetine.[35]
|
Amphetamines |
Analgesics: meperedine |
Anesthetics |
Antidepressants: buproprion, buspirone, other MAOIs, SSRIs, SNRIs, TCAs, |
Mirtazapine |
Cocaine |
Dibenzazepine‐related agents: carbamezapine, cyclobenzaprine, perphenazine |
Female sex steroids |
Sympathomimetics: dopamine, epinephrine, levodopa, methyldopa, methylphenidate, norepinephrine, phenylalanine, reserpine, tyrosine, tryptophan |
Other vasoconstrictors: pseudoephedrine, phenylephrine, phenylpropanolamine, ephedrine |
Lithium toxicity may result from changing patient pharmacokinetics. Lithium is almost entirely renally excreted, and acute kidney injury may precipitously raise serum levels. Within the renal collecting system, lithium is handled similarly to sodium, with 80% reabsorbed from the proximal tubule to the collecting duct. Thus, factors that decrease glomerular filtration rate (GFR) and increase proximal tubule absorption will increase serum lithium levels. For example, decreased effective arterial volume (due to dehydration, cirrhosis, nephrotic syndrome, or heart failure) may elevate lithium levels. Additionally, medications that decrease GFR may increase lithium reabsorption. These include nonsteroidal anti‐inflammatory drugs, angiotensin‐converting enzyme inhibitors, and thiazide diuretics. Because of lithium's narrow therapeutic index, small elevations in serum levels can lead to toxicity. Severity of intoxication correlates with serum concentration. Symptoms range from lethargy, weakness, tremor, ataxia, and gastrointestinal distress to coma, seizures, renal failure, and death. Toxicity is also associated with electrocardiograph (ECG) changes, including ST‐segment depression and T‐wave inversion in the lateral precordial leads. Sinus node dysfunction can also occur. Definitive treatment for lithium toxicity is hemodialysis.[36]
Though the therapeutic index is much wider for valproic acid than for lithium, valproate toxicity may also occur in the medically ill patient with previously stable serum levels. Valproic acid is highly protein‐bound at therapeutic levels, and is metabolized largely through hepatic glucuronidation. Initiation of medications that compete for protein‐binding sites, including aspirin, has led to valproate toxicity. Moreover, acute liver failure or addition of drugs that compete with hepatic microsomal enzymes may lead to decreased excretion of valproic acid. Poisoning may result in central nervous system (CNS) and respiratory depression, hypotension, cerebral edema, and pancreatitis. True hepatoxicity is rare, though hyperammonemia is widely documented. Thrombocytopenia is the most common hematologic abnormality associated with overdose. However, thrombocytopenia may also occur without complication in patients on stable therapeutic doses. Treatment is largely supportive, though hemoperfusion and hemodialysis may be used when serum levels are >300 g/mL, as only 35% of the drug is protein‐bound at that level. Naloxone has been shown in case reports to reverse valproic acid‐induced coma, and L‐carnitine has been increasingly recommended for hyperammonemia.[37, 38]
PHARMACOKINETICS: DRUG‐DRUG INTERACTIONS
As discussed above, the addition of a new medication can increase previously stable levels of psychotropic drugs, leading to toxicity. Conversely, mental health medications can alter the expected metabolism of a drug being used to treat acute medical illness. Many psychotropics are metabolized via the cytochrome p450 enzyme, particularly the SSRIs (Table 4).[39] A number of antimicrobial and antiarrythmic medications are also cleared via this route, leading to potential toxic or subtherapeutic levels when drug‐drug interactions occur.
CYP 1A2 | CYP 2B6 | CYP 2C9 | CYP 2C19 | CYP 2D6 | CYP 3A4/3A5/3A7 |
---|---|---|---|---|---|
Clozapine | Bupropion | Amitriptyline | Phenytoin | Antidepressants | Alprazolam |
Duloxetine | Methadone | Fluoxetine | Amitriptyline | Amitriptyline | Diazepam |
Fluvoxamine | Phenytoin | Citalopram | Clomipramine | Midazolam | |
Haloperidol | Clomipramine | Duloxetine | Aripiprazole | ||
Imipramine | Diazepam | Desipramine | Buspirone | ||
Olanzapine | Imipramine | Fluoxetine | Haldol | ||
Ramelteon | Fluvoxamine | Quetiapine | |||
Imipramine | Ziprasidone | ||||
Nortriptyline | Zolpidem | ||||
Paroxetine | Dextromethorphan | ||||
Venlafaxine | |||||
Antipsychotics | |||||
Aripiprazole | |||||
Clorpromazine | |||||
Haldol | |||||
Perphenazine | |||||
Risperidone |
PSYCHOTROPIC ADVERSE EFFECTS
Psychotropic medications may also cause side effects that contribute to the clinical presentation, requiring ongoing monitoring, a dose reduction, or psychotropic discontinuation. Potential adverse effects that commonly impact psychopharmacologic management include anticholinergic side effects, cardiac effects, and sedation.
ANTICHOLINERGIC EFFECTS AND TOXICITY
Newly emerging anticholinergic effects may be particularly troubling. Dry mouth may cause swallowing difficulty and aspiration. Pupillary dilatation and dry eyes can increase risk of falls. Constipation may evolve into fecal impaction, and urinary retention can contribute to increased catheter use and infection. CNS effects are perhaps the most serious, ranging from drowsiness and memory impairment to frank delirium.[40]
Many psychotropic drugs are anti cholinergic. Among the antidepressants, the TCAs and paroxetine have the highest anticholinergic activity. Anticholinergic effects have also been reported with the low potency first generation neuroleptics and with the atypical antipsychotics olanzapine and clozapine. Additionally, medications used to treat the extrapyramidal symptoms associated with antipsychotics (such as benztropine and diphenhydramine) are strongly anticholinergic.[41] Patients without previous overt anticholinergic symptoms from these medications may experience adverse effects when hospitalized. Medical illness or new medications may alter psychotropic drug metabolism and elimination, leading to accumulation of their anticholinergic effects. Many medications used in the hospital also have intrinsic anticholinergic activity. These include some antiemetics, antispasmodics, antiarrhythmics, and histamine H2 receptor blockers. Elderly patients are particularly prone to anticholinergic effects due to age‐related deficits in cholinergic transmission.[40]
QTc PROLONGATION
QTc prolongation is a potentially lethal side effect of certain medications. Prolonged QTc increases the risk of cardiac mortality and sudden death, presumably related to onset of torsades de pointe. Certain antidepressants have consistently been associated with QTc prolongation, particularly the TCAs. In addition, the US Food and Drug Administration recently issued the recommendation that the SSRI citalopram not be used at doses >40 mg (and 20 mg in those with hepatic impairment or age >60 years) due to results of a randomized controlled trial that showed a dose‐response increase in QTc. Antipsychotic medications have also been shown to increase QTc, with the greatest evidence for thioridazine and the first‐generation, low‐potency neuroleptics. Haloperidol (particularly the intravenous formulation) has also been linked to both long QTc and torsades, though data may be confounded by the degree of medical illness of patients receiving the medication.[42] Of the atypicals, ziprasidone causes the greatest QTc prolongation.[43] However, a large retrospective cohort study showed similar risk increase of sudden cardiac death (2‐fold) among all antipsychotics (including typicals and atypicals) when examined individually.[44]
Additional risk factors for QTc prolongation abound in the hospitalized patient. These include many medical problems, including electrolyte abnormalities, heart conditions, renal and hepatic dysfunction, and CNS injury. Hospitalized patients are also exposed to the cumulative effects of medications that increase duration of QTc, such as class I and class III antiarrhythmics. Additionally, certain antimicrobials, including macrolide antibiotics and antifungals, have been associated with QTc prolongation via pharmacokinetic interactions.
Because of this, QTc should be measured upon admission in patients on stable doses of psychotropics that predispose to prolongation. Addition of other medications known to contribute to increased QTc should prompt further ECGs. Electrolytes, particularly potassium and magnesium, should be aggressively repleted. When QTc extends beyond 500 ms, consideration should be given to discontinuing or changing medications that can contribute to QTc prolongation (whether psychotropics or drugs used to treat acute medical problems).[42]
SEDATION
Sedation is another potential side effect of psychotropic medications. Although sedation is beneficial for agitation and anxiety, sedated patients may be unable to participate in treatment. They are also at greater risk of aspiration and falls.
Antipsychotics cause sedation through antagonism of 1 adrenergic and H1 histaminergic receptors. Effects are most pronounced with the low‐potency, first‐generation antipsychotics and the atypicals quetiapine and clozapine. Some antidepressants, including the TCAs and mirtazapine, also cause somnolence by histamine H1‐receptor antagonism. If a patient has been psychiatrically stable on a particular antipsychotic or antidepressant, but has psychotropic‐induced sedation that interferes with treatment, hospitalists may want to consider temporarily decreasing the dose.
Benzodiazepines induce sedation by increasing ‐aminobutyric acid‐ergic transmission. There is significant overlap between anxiolytic and sedating doses of benzodiazepines. The amount of sedation is related to dose, speed of absorption, and onset of CNS penetration. Thus, sedation may be minimized by using a lower dose or switching to an equivalent dose of a slower‐onset benzodiazepine.[45, 46]
CONCLUSION
The decision to continue or discontinue psychotropic medications is often challenging. It requires the hospitalist to carefully weigh the risks and benefits of the ongoing treatment versus discontinuation, while also considering the patient's preference whenever possible. Sudden cessation of psychotropics can lead to a number of unwanted complications, from mild withdrawal to life‐threatening autonomic instability and psychiatric decompensation. Yet psychotropic continuation can also lead to unwanted drug‐drug interactions and newly emergent side effects.
To improve patient safety and outcomes, hospitalists must take a cautious and well‐thought out approach to treating patients on psychotropic drugs. Reflexive cessation of home medications must be avoided. If hepatic or renal insufficiency develops, medication doses may need to be adjusted. When available, drug levels should guide dose adjustments. If side effects occur, the patient's medication list should be carefully reviewed for potential drug‐drug interactions. Maintaining mental health may mean substituting another drug for one that interferes with home psychotropic medications. Psychotropic doses may also be minimized to decrease side effects. When a psychotropic must be discontinued, tapering is recommended over an abrupt discontinuation, except in the case of an acute toxicity. Moreover, cross‐titration to another effective agent may prevent psychiatric decompensation.
Additionally, hospitalists should use all available resources when deciding on a patient's psychotropic regimen. Mobile devices and online resources can assist with pharmacokinetics. Pharmacists can help with more complex questions or potential drug substitutions. Consultation‐liaison psychiatrists can be a valuable resource in ensuring the safety and stability of a patient with psychiatric comorbidity within the medical environment. The consultant may assist by assessing a patient's current psychiatric state and recommending psychotropic medication changes when needed.
Disclosure
Nothing to report.
Mental illness is highly prevalent, with approximately 30% of the US population meeting criteria for at least 1 disorder.[1] In the medically ill population, psychiatric disease is even more common; a 2005 survey showed that half of all patients visiting primary care physicians met criteria for a mental disorder.[2] Conversely, those with serious mental illness suffer greater medical morbidity than the general population, with higher rates of obesity, diabetes, metabolic syndrome, cardiovascular disease, chronic obstructive pulmonary disease, human immunodeficiency virus, viral hepatitis, and tuberculosis.[3] When acute medical problems arise, those with mental illness endure longer hospitalizations; the presence of a psychiatric disturbance in the general medical setting has been shown to be a robust predictor of increased hospital length of stay.[4, 5]
Because of the strong correlation between medical and mental illness, hospitalists will care for patients with psychiatric disorders. Despite this, internists generally receive a paucity of formal training in the treatment of mental disturbances. One survey of university‐affiliated internal medicine residencies revealed that only 10% of programs offered any kind of modest curriculum in psychiatric education.[6] Regardless of this lack of preparation, hospitalists are called upon at each admission to make decisions that affect the psychiatric treatment of patients on psychotropic medication; namely, they must decide whether to continue or discontinue psychiatric medications. Many physicians reflexively discontinue a patient's chronic medications upon admission to the hospital; one study reported an adjusted odds ratio of between 1.18 and 1.86 for stopping a medication prescribed for a chronic condition.[7]
This review aims to assist the hospitalist in making an informed decision about the continuation of psychotropic medications in the medically ill patient. First, it examines the risks of stopping psychotropic medication, including psychiatric decompensation and discontinuation syndromes. It also explores the challenges of medication continuation in the context of changing pharmacokinetics and emerging side effects. Ultimately, physicians and patients must make collaborative decisions, weighing the risk of medication interactions against the potential adverse effects of psychiatric decompensation.
DISCONTINUATION
Decompensation of Mental Health
Approximately 10% to 15% of patients hospitalized for medical illness require reduction or discontinuation of psychotropic medications because they may be contributing to the clinical presentation.[4] The rate and method of drug discontinuation can affect the course of major psychiatric disorders.[8] A growing number of studies demonstrate high rates of relapse when medications are discontinued in patients suffering from mood disorders, schizophrenia, and anxiety disorders.[9] Abrupt cessation of psychotropics is especially dangerous, leading to a greater chance of destabilization than if medications are tapered. Episodes of active illness even appear to occur more frequently with sudden psychotropic cessation than they would in the natural course of untreated disease. This is true for several classes of psychotropics, including antidepressants, mood stabilizers, and antipsychotics. For example, in a study of pregnant women who suddenly stopped their psychotropic medication (both antidepressants and benzodiazepines), nearly one‐third experienced suicidal ideation.[10] Depression and suicidality have also been documented in bipolar patients who were abruptly taken off of lithium. More commonly, rapid lithium discontinuation in bipolar patients causes mania, with illness relapse as soon as 4 days after cessation.[10] Additionally, abrupt discontinuation of antipsychotics in patients with schizophrenia leads to early, and often severe, psychosis. One study found a relapse rate of 50% within 30 weeks of sudden oral neuroleptic cessation.[11] Furthermore, restarting medications, even at the previous effective dose, may not return the patient to their prior baseline.[12] Psychiatric decompensation in the hospitalized patient can worsen medical outcomes, with decreased adherence to treatment plans. In extreme circumstances, patients may be at risk of self‐harm or suicide.
DRUG‐SPECIFIC DISCONTINUATION SYNDROMES
Antidepressants
Discontinuation of medications presents additional problems, and sudden cessation of psychotropic medications can lead to uncomfortable or even dangerous symptoms. For example, the serotonin discontinuation syndrome has been well documented. Chronic use of serotonin re‐uptake inhibitors (generally greater than 6 to 8 weeks) leads to downregulation of postsynaptic serotonin receptors. When selective serotonin re‐uptake inhibitors (SSRIs) or serotonin‐norepinephrine re‐uptake inhibitors are abruptly stopped, the brain experiences a relative decline in serotonin. Symptoms include a flu‐like illness, nausea, imbalance, insomnia, sensory disturbances, and dysphoria. Onset may be within hours of missing a dose, but typically occurs within 3 days of medication discontinuation. The syndrome is more likely to occur with cessation of medications of shorter half‐life and less likely to occur with medications with a long half‐life, such as fluoxetine (Table 1).[13, 14] The symptoms can be ameliorated with a gradual tapering or reintroduction of the antidepressant.[15] Untreated symptoms resolve in 1 to 2 weeks. Although the syndrome in isolation is not life‐threatening, a number of the symptoms can complicate medical illness and muddle diagnosis of other diseases.[14, 16]
Medication | Half‐Life (Hours) |
---|---|
| |
SSRIs | |
Fluoxetine | 84144 |
Paroxetine | 21 |
Sertraline | 26 |
Citalopram | 35 |
Escitalopram | 2732 |
Fluvoxamine | 15 |
SNRIs | |
Venlafaxine | 313 |
Duloxetine | 1116 |
Older antidepressants, including the tricyclic antidepressants (TCAs) and monoamine oxidase inhibitors (MAOIs), have serotonergic effects, and thus discontinuation may cause the symptoms described above. However, these agents also have effects on other neurotransmitters. The TCAs block muscarinic cholinergic receptors, leading to upregulation. Abrupt cessation can lead to cholinergic rebound, with parkinsonism and mania emerging. Multiple case reports document improvement in these symptoms with an anticholinergic agent, such as benztropine.[17, 18] MAOIs lead to changes in ‐2 adrenergic and dopaminergic receptors. Sudden discontinuation has been associated with agitation, delirium, and psychosis; 1 case report even documents catatonia associated with autonomic instability.[19]
In addition, sudden discontinuation of antidepressants (including the SSRIs) may provoke mania or hypomania in some patients, regardless of whether they have experienced previous spontaneous manic episodes.[8]
Neuroleptics
Data for an antipsychotic withdrawal syndrome are less convincing than those for serotonergic agents. However, certain symptoms have been associated with abrupt neuroleptic discontinuation. Most frequently, gastrointestinal distress and diaphoresis are described. Anxiety, agitation, and insomnia are also common. These symptoms are thought to be associated with cholinergic rebound, mediated by direct effects of neuroleptics on muscarinic receptors or indirectly through dopamine receptor blockade and the dopamine‐cholinergic balance. Symptoms may be more severe when antimuscarinic, antiparkinsonism drugs are simultaneously stopped. Some authors argue that the timing of symptom onset can differentiate antipsychotic withdrawal from illness relapse, with discontinuation syndrome occurring within the first 7 days of medication cessation.[20]
Additionally, abrupt cessation of antipsychotics may be associated with rapid‐onset psychosis. The data are strongest for clozapine discontinuation, where overall incidence is approximately 20%. This is hypothesized to be mediated by dopamine receptor upregulation and subsequent hypersensitivity to endogenous dopamine. The emerging psychosis is purportedly distinct from the underlying illness. Episodes have been described in patients on chronic metoclopramide who have no prior psychiatric history, as well as in patients with bipolar disorder without psychosis prior to neuroleptic discontinuation.[21]
Movement disorders may emerge during neuroleptic discontinuation. Both parkinsonism and dyskinesias have been described. In some patients, dyskinesias resolve within weeks of drug discontinuation; however, others experience permanent symptoms, termed covert dyskinesia.[22] In rare circumstances, dyskinesias may affect the respiratory muscles, causing distress. Several case reports of withdrawal‐emergent respiratory dyskinesia have been reported following risperidone cessation.[23, 24, 25] Additionally, several case reports have described catatonia occurring after abrupt discontinuation of clozapine. In all cases, symptoms promptly resolved with reinitiation of clozapine.[26]
Neuroleptic malignant syndrome (NMS) is a rare but potentially fatal complication of antipsychotic administration. Symptoms include fever, rigidity, autonomic instability, and mental status changes.[27] Though NMS is hypothesized to occur due to dopamine receptor blockade, rare cases of NMS have also been reported with abrupt cessation of neuroleptics. Of the 8 case reports in the literature, 1 resulted in death.[22, 28]
Mood Stabilizers
Though some of the atypical antipsychotics are used to treat bipolar disorder, mood stabilizers are the mainstay of pharmacotherapy. The most commonly used mood stabilizers are lithium, valproic acid, lamotrigine, topirimate, carbamezapine, and oxcarbazepine. When mood stabilizers are discontinued, patients are at risk of psychiatric relapse, as documented above. However, withdrawal symptoms have not been commonly documented upon abrupt discontinuation of lithium or the anticonvulsants used to treat bipolar disorder.[29, 30]
Benzodiazepines
Benzodiazepines are widely prescribed for insomnia and anxiety. Chronic legal use of benzodiazepines is approximately 2% in the general population.[31] Like ethanol, benzodiazepines bind nonselectively to the GABA‐A receptor, resulting in downregulation of GABA receptors and compensatory increased N‐methyl‐D‐aspartate transmission. Sudden discontinuation of benzodiazepines results in a syndrome that mirrors that of alcohol withdrawal. Symptoms range from mild (tremor, insomnia, and anxiety) to life‐threatening (seizures, delirium, and autonomic instability). Serious withdrawal is more likely with substances of shorter half‐life and with higher chronic doses. Onset often occurs between 2 and 10 days after discontinuation, depending on the half‐life of the benzodiazepine.[32] Other rare serious reactions have been documented following abrupt benzodiazepine cessation, including NMS and catatonia.[30]
CONTINUATION
Reflexive discontinuation of psychotropic medications can clearly lead to adverse outcomes. However, when hospitalists decide to continue a patient's psychotropic medications, they must also be cognizant of potential complications. Modifications may be necessary because of hepatic, renal, or cardiac disease. In addition, physicians need to be aware of drug‐drug interactions. Pharmacotherapy for medically ill elderly patients may require dose modifications to account for an increased lipophilic volume of distribution and a decreased rate of metabolism.[33] Finally, pregnancy can present additional challenges regarding dose modifications and teratogenicity.
On the other hand, hospitalists must be aware that continuing a patient's psychotropic medication may not be the cause of new psychiatric symptoms. Drugs prescribed for medical disorders (eg, corticosteroids) often cause psychiatric symptoms. In addition, psychiatric symptoms may emerge at times of nonpsychotropic medication withdrawal or due to nonpsychotropic drug‐drug interactions.[4] Groups of medications commonly associated with psychiatric disturbances include analgesics, sedatives, anesthetics, anticonvulsants, and anticholinergics.
PHARMACOKINETICS: PSYCHOTROPIC TOXICITY
Medical illness alters the body's steady state, and renal or hepatic metabolism may be impaired when a patient requires hospitalization. Additionally, new medications may increase the effects of psychotropics, whether by intrinsic augmentation of effect or decreased psychotropic clearance. Ultimately, these changes can lead to psychotropic toxicity.
Specific toxicities merit discussion. First, serotonin syndrome is a potentially fatal condition. The majority of cases occur with synergistic serotonergic medication administration, though there are case reports of the syndrome occurring with addition of inhibitors of cytochrome p450 2D6 and/or 3A4 to SSRIs. A large number of medications from different classes have been indicated (Table 2).[34] Symptoms generally occur within 24 hours of medication administration and include mental status changes, autonomic instability, and neuromuscular hyperactivity. When serotonin syndrome is suspected, the offending agent should be discontinued immediately. There is no definitive treatment, though supportive care can be lifesaving.[34]
Amphetamines and Derivatives | Antidepressants and Mood Stabilizers | Antimigraine Drugs | Analgesics | Antiemetics | Miscellaneous |
---|---|---|---|---|---|
| |||||
MDMA | Buspirone | Ergot alkaloids | Cyclobenzaprine | Metoclopramide | Cocaine |
Dextroamphetamine | Carbamazepine | Triptans | Fentanyl | Ondansetron | Dextromethorphan |
Methamphetamine | Lithium | Meperidine | Linezolid | ||
Sibutramine | MAOIs | Tramadol | L‐tryptophan | ||
SSRIs | 5‐hydroxytrytophan | ||||
SNRIs | |||||
Serotonin 2A receptor blockers (eg, trazodone) | |||||
St. John's Wort | |||||
TCAs | |||||
Valproic Acid |
In addition to serotonin syndrome, hypertensive emergency may occur due to drug interactions with MAOIs. MAOIs inhibit the enzyme monoamine oxidase, resulting in elevated levels of serotonin, histamine, and catecholamines in the blood. Coadministration of MAOIs and sympathomimetic agents (such as cough suppressants and analgesics) may dangerously increase adrenergic stimulation, elevating blood pressure to the point of end‐organ damage. Please see Table 3 for a full list of drugs indicated in MAOI‐associated hypertensive crisis.[35] To ensure safety, it is recommended that MAOIs be discontinued for 14 days prior to introducing medications with sympathomimetic properties, and vice versa. Because of its longer half‐life, a 5‐week washout period is recommended for fluoxetine.[35]
|
Amphetamines |
Analgesics: meperedine |
Anesthetics |
Antidepressants: buproprion, buspirone, other MAOIs, SSRIs, SNRIs, TCAs, |
Mirtazapine |
Cocaine |
Dibenzazepine‐related agents: carbamezapine, cyclobenzaprine, perphenazine |
Female sex steroids |
Sympathomimetics: dopamine, epinephrine, levodopa, methyldopa, methylphenidate, norepinephrine, phenylalanine, reserpine, tyrosine, tryptophan |
Other vasoconstrictors: pseudoephedrine, phenylephrine, phenylpropanolamine, ephedrine |
Lithium toxicity may result from changing patient pharmacokinetics. Lithium is almost entirely renally excreted, and acute kidney injury may precipitously raise serum levels. Within the renal collecting system, lithium is handled similarly to sodium, with 80% reabsorbed from the proximal tubule to the collecting duct. Thus, factors that decrease glomerular filtration rate (GFR) and increase proximal tubule absorption will increase serum lithium levels. For example, decreased effective arterial volume (due to dehydration, cirrhosis, nephrotic syndrome, or heart failure) may elevate lithium levels. Additionally, medications that decrease GFR may increase lithium reabsorption. These include nonsteroidal anti‐inflammatory drugs, angiotensin‐converting enzyme inhibitors, and thiazide diuretics. Because of lithium's narrow therapeutic index, small elevations in serum levels can lead to toxicity. Severity of intoxication correlates with serum concentration. Symptoms range from lethargy, weakness, tremor, ataxia, and gastrointestinal distress to coma, seizures, renal failure, and death. Toxicity is also associated with electrocardiograph (ECG) changes, including ST‐segment depression and T‐wave inversion in the lateral precordial leads. Sinus node dysfunction can also occur. Definitive treatment for lithium toxicity is hemodialysis.[36]
Though the therapeutic index is much wider for valproic acid than for lithium, valproate toxicity may also occur in the medically ill patient with previously stable serum levels. Valproic acid is highly protein‐bound at therapeutic levels, and is metabolized largely through hepatic glucuronidation. Initiation of medications that compete for protein‐binding sites, including aspirin, has led to valproate toxicity. Moreover, acute liver failure or addition of drugs that compete with hepatic microsomal enzymes may lead to decreased excretion of valproic acid. Poisoning may result in central nervous system (CNS) and respiratory depression, hypotension, cerebral edema, and pancreatitis. True hepatoxicity is rare, though hyperammonemia is widely documented. Thrombocytopenia is the most common hematologic abnormality associated with overdose. However, thrombocytopenia may also occur without complication in patients on stable therapeutic doses. Treatment is largely supportive, though hemoperfusion and hemodialysis may be used when serum levels are >300 g/mL, as only 35% of the drug is protein‐bound at that level. Naloxone has been shown in case reports to reverse valproic acid‐induced coma, and L‐carnitine has been increasingly recommended for hyperammonemia.[37, 38]
PHARMACOKINETICS: DRUG‐DRUG INTERACTIONS
As discussed above, the addition of a new medication can increase previously stable levels of psychotropic drugs, leading to toxicity. Conversely, mental health medications can alter the expected metabolism of a drug being used to treat acute medical illness. Many psychotropics are metabolized via the cytochrome p450 enzyme, particularly the SSRIs (Table 4).[39] A number of antimicrobial and antiarrythmic medications are also cleared via this route, leading to potential toxic or subtherapeutic levels when drug‐drug interactions occur.
CYP 1A2 | CYP 2B6 | CYP 2C9 | CYP 2C19 | CYP 2D6 | CYP 3A4/3A5/3A7 |
---|---|---|---|---|---|
Clozapine | Bupropion | Amitriptyline | Phenytoin | Antidepressants | Alprazolam |
Duloxetine | Methadone | Fluoxetine | Amitriptyline | Amitriptyline | Diazepam |
Fluvoxamine | Phenytoin | Citalopram | Clomipramine | Midazolam | |
Haloperidol | Clomipramine | Duloxetine | Aripiprazole | ||
Imipramine | Diazepam | Desipramine | Buspirone | ||
Olanzapine | Imipramine | Fluoxetine | Haldol | ||
Ramelteon | Fluvoxamine | Quetiapine | |||
Imipramine | Ziprasidone | ||||
Nortriptyline | Zolpidem | ||||
Paroxetine | Dextromethorphan | ||||
Venlafaxine | |||||
Antipsychotics | |||||
Aripiprazole | |||||
Clorpromazine | |||||
Haldol | |||||
Perphenazine | |||||
Risperidone |
PSYCHOTROPIC ADVERSE EFFECTS
Psychotropic medications may also cause side effects that contribute to the clinical presentation, requiring ongoing monitoring, a dose reduction, or psychotropic discontinuation. Potential adverse effects that commonly impact psychopharmacologic management include anticholinergic side effects, cardiac effects, and sedation.
ANTICHOLINERGIC EFFECTS AND TOXICITY
Newly emerging anticholinergic effects may be particularly troubling. Dry mouth may cause swallowing difficulty and aspiration. Pupillary dilatation and dry eyes can increase risk of falls. Constipation may evolve into fecal impaction, and urinary retention can contribute to increased catheter use and infection. CNS effects are perhaps the most serious, ranging from drowsiness and memory impairment to frank delirium.[40]
Many psychotropic drugs are anti cholinergic. Among the antidepressants, the TCAs and paroxetine have the highest anticholinergic activity. Anticholinergic effects have also been reported with the low potency first generation neuroleptics and with the atypical antipsychotics olanzapine and clozapine. Additionally, medications used to treat the extrapyramidal symptoms associated with antipsychotics (such as benztropine and diphenhydramine) are strongly anticholinergic.[41] Patients without previous overt anticholinergic symptoms from these medications may experience adverse effects when hospitalized. Medical illness or new medications may alter psychotropic drug metabolism and elimination, leading to accumulation of their anticholinergic effects. Many medications used in the hospital also have intrinsic anticholinergic activity. These include some antiemetics, antispasmodics, antiarrhythmics, and histamine H2 receptor blockers. Elderly patients are particularly prone to anticholinergic effects due to age‐related deficits in cholinergic transmission.[40]
QTc PROLONGATION
QTc prolongation is a potentially lethal side effect of certain medications. Prolonged QTc increases the risk of cardiac mortality and sudden death, presumably related to onset of torsades de pointe. Certain antidepressants have consistently been associated with QTc prolongation, particularly the TCAs. In addition, the US Food and Drug Administration recently issued the recommendation that the SSRI citalopram not be used at doses >40 mg (and 20 mg in those with hepatic impairment or age >60 years) due to results of a randomized controlled trial that showed a dose‐response increase in QTc. Antipsychotic medications have also been shown to increase QTc, with the greatest evidence for thioridazine and the first‐generation, low‐potency neuroleptics. Haloperidol (particularly the intravenous formulation) has also been linked to both long QTc and torsades, though data may be confounded by the degree of medical illness of patients receiving the medication.[42] Of the atypicals, ziprasidone causes the greatest QTc prolongation.[43] However, a large retrospective cohort study showed similar risk increase of sudden cardiac death (2‐fold) among all antipsychotics (including typicals and atypicals) when examined individually.[44]
Additional risk factors for QTc prolongation abound in the hospitalized patient. These include many medical problems, including electrolyte abnormalities, heart conditions, renal and hepatic dysfunction, and CNS injury. Hospitalized patients are also exposed to the cumulative effects of medications that increase duration of QTc, such as class I and class III antiarrhythmics. Additionally, certain antimicrobials, including macrolide antibiotics and antifungals, have been associated with QTc prolongation via pharmacokinetic interactions.
Because of this, QTc should be measured upon admission in patients on stable doses of psychotropics that predispose to prolongation. Addition of other medications known to contribute to increased QTc should prompt further ECGs. Electrolytes, particularly potassium and magnesium, should be aggressively repleted. When QTc extends beyond 500 ms, consideration should be given to discontinuing or changing medications that can contribute to QTc prolongation (whether psychotropics or drugs used to treat acute medical problems).[42]
SEDATION
Sedation is another potential side effect of psychotropic medications. Although sedation is beneficial for agitation and anxiety, sedated patients may be unable to participate in treatment. They are also at greater risk of aspiration and falls.
Antipsychotics cause sedation through antagonism of 1 adrenergic and H1 histaminergic receptors. Effects are most pronounced with the low‐potency, first‐generation antipsychotics and the atypicals quetiapine and clozapine. Some antidepressants, including the TCAs and mirtazapine, also cause somnolence by histamine H1‐receptor antagonism. If a patient has been psychiatrically stable on a particular antipsychotic or antidepressant, but has psychotropic‐induced sedation that interferes with treatment, hospitalists may want to consider temporarily decreasing the dose.
Benzodiazepines induce sedation by increasing ‐aminobutyric acid‐ergic transmission. There is significant overlap between anxiolytic and sedating doses of benzodiazepines. The amount of sedation is related to dose, speed of absorption, and onset of CNS penetration. Thus, sedation may be minimized by using a lower dose or switching to an equivalent dose of a slower‐onset benzodiazepine.[45, 46]
CONCLUSION
The decision to continue or discontinue psychotropic medications is often challenging. It requires the hospitalist to carefully weigh the risks and benefits of the ongoing treatment versus discontinuation, while also considering the patient's preference whenever possible. Sudden cessation of psychotropics can lead to a number of unwanted complications, from mild withdrawal to life‐threatening autonomic instability and psychiatric decompensation. Yet psychotropic continuation can also lead to unwanted drug‐drug interactions and newly emergent side effects.
To improve patient safety and outcomes, hospitalists must take a cautious and well‐thought out approach to treating patients on psychotropic drugs. Reflexive cessation of home medications must be avoided. If hepatic or renal insufficiency develops, medication doses may need to be adjusted. When available, drug levels should guide dose adjustments. If side effects occur, the patient's medication list should be carefully reviewed for potential drug‐drug interactions. Maintaining mental health may mean substituting another drug for one that interferes with home psychotropic medications. Psychotropic doses may also be minimized to decrease side effects. When a psychotropic must be discontinued, tapering is recommended over an abrupt discontinuation, except in the case of an acute toxicity. Moreover, cross‐titration to another effective agent may prevent psychiatric decompensation.
Additionally, hospitalists should use all available resources when deciding on a patient's psychotropic regimen. Mobile devices and online resources can assist with pharmacokinetics. Pharmacists can help with more complex questions or potential drug substitutions. Consultation‐liaison psychiatrists can be a valuable resource in ensuring the safety and stability of a patient with psychiatric comorbidity within the medical environment. The consultant may assist by assessing a patient's current psychiatric state and recommending psychotropic medication changes when needed.
Disclosure
Nothing to report.
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- A randomized evaluation of the effects of six antipsychotic agents on QTc, in the absence and presence of metabolic inhibition. J Clin Psychopharmacol. 2004;24(1):62–69. , , , et al.
- Atypical antipsychotic drugs and the risk of sudden cardiac death. N Engl J Med. 2009;360(3):225–235. , , , , .
- Sedation, an unpleasant, undesirable and potentially dangerous side‐effect of many psychotropic drugs. Hum Psychopharmacol. 2004;19(2):135–139. , .
- Toxicology and overdose of atypical antipsychotics. J Emerg Med. 2012;43(5):906–913. , .
Woman With Hip Pain After Car Accident
ANSWER
The radiograph demonstrates evidence of contrast material within the bladder. There is evidence of fixation of an old subcapital femoral neck fracture on the left.
There is an acute, mildly displaced right intertrochanteric fracture of the right hip. The orthopedic service was consulted, and plans were established to subsequently fix this fracture surgically.
ANSWER
The radiograph demonstrates evidence of contrast material within the bladder. There is evidence of fixation of an old subcapital femoral neck fracture on the left.
There is an acute, mildly displaced right intertrochanteric fracture of the right hip. The orthopedic service was consulted, and plans were established to subsequently fix this fracture surgically.
ANSWER
The radiograph demonstrates evidence of contrast material within the bladder. There is evidence of fixation of an old subcapital femoral neck fracture on the left.
There is an acute, mildly displaced right intertrochanteric fracture of the right hip. The orthopedic service was consulted, and plans were established to subsequently fix this fracture surgically.

A 55-year-old woman is transferred to your facility with injuries sustained in a motor vehicle collision. She was an unrestrained front-seat passenger in a vehicle that rear-ended another vehicle. There was no airbag deployment, and the patient believes she struck her face on the windshield. At the outside facility, it was determined that she had a cervical fracture and facial fractures. Upon arrival at your facility, she is complaining of bilateral hip pain as well. Her medical history is significant for coronary artery disease, several myocardial infarctions, hypertension, and stroke. She has a pacemaker. Six months ago, she had an open reduction internal fixation of her left hip for a fracture she sustained in a fall. Primary survey reveals a female who is uncomfortable but alert and oriented. Vital signs are normal. She has some facial swelling and bruising. Her heart and lungs are clear; abdomen is benign. She is able to move her upper extremities with-out any problems. She has limited movement of her lower extremities due to pain in her pelvis. She is able to move both feet and toes, and distal pulses and sensation are intact. No obvious leg shortening is noted. A portable radiograph of the pelvis is obtained. What is your impression?
Child hit by car
ANSWER
The chest radiograph demonstrates no acute abnormalities within the lungs, ribs, or chest. Of note, there are two radiodensities consistent with teeth, which are presumed to be in the patient’s stomach (most likely secondary to being swallowed following trauma to his face). Upon reexamination, it is noted that the child’s two front incisors are missing, with minimally bleeding sockets. Other than reassurance, no specific intervention was required.
ANSWER
The chest radiograph demonstrates no acute abnormalities within the lungs, ribs, or chest. Of note, there are two radiodensities consistent with teeth, which are presumed to be in the patient’s stomach (most likely secondary to being swallowed following trauma to his face). Upon reexamination, it is noted that the child’s two front incisors are missing, with minimally bleeding sockets. Other than reassurance, no specific intervention was required.
ANSWER
The chest radiograph demonstrates no acute abnormalities within the lungs, ribs, or chest. Of note, there are two radiodensities consistent with teeth, which are presumed to be in the patient’s stomach (most likely secondary to being swallowed following trauma to his face). Upon reexamination, it is noted that the child’s two front incisors are missing, with minimally bleeding sockets. Other than reassurance, no specific intervention was required.

A 6-year-old boy is brought to your facility by ambulance after being hit by a car. The child was apparently riding his bike when a slow-moving vehicle turned onto the street and accidentally bumped him, knocking him to the ground. He was not wearing a helmet. The child is crying but somewhat consolable. His medical history is unremarkable. On initial assessment, he is awake, crying, and moving all of his extremities spontaneously. His vital signs include a temperature of 36.3°C; blood pressure, 149/72 mm Hg; pulse, 110 beats/min; and respiratory rate, 22 breaths/min. Physical examination reveals several abrasions to his face, nose, and lips. Otherwise, he is normocephalic. His pupils are equal and react appropriately. Heart and lung sounds are clear, and the abdomen appears benign. You order some preliminary labwork and CT of the head. In addition, a portable chest radiograph is obtained (shown). What is your impression?