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Whether to anticoagulate: Toward a more reasoned approach

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Whether to anticoagulate: Toward a more reasoned approach

The article by Hagerty and Rich in this issue of the Cleveland Clinic Journal of Medicine1 covers an important topic—whether elderly patients with atrial fibrillation should receive anticoagulant therapy for it, or whether the risk of bleeding with this therapy outweighs the benefit of preventing stroke.

See related article

BETTER RISK PREDICTORS ARE NEEDED

Prediction tools are available for estimating the risk of stroke in patients with atrial fibrillation without anticoagulation2,3 and to estimate bleeding risk from anticoagulation4–7 (Table 1). Both tools have limitations, but as Hagerty and Rich point out, the stroke risk scales are likely better than the bleeding risk scales.

For example, Fang et al8 note that the risk of intracranial hemorrhage increases significantly after age 85. The bleeding risk scales use lower age cutoffs than this, perhaps increasing their sensitivity but decreasing their specificity.

Although HAS-BLED5,6 includes antiplatelet drugs such as nonsteroidal anti-inflammatory drugs and aspirin as risk factors for bleeding, ATRIA4 and HEMORR2HAGES7 do not.

Other drugs such as macrolides, quinolones, and high-dose corticosteroids raise the international normalized ratio (INR). These are typically used short-term, but can cause major fluctuations in the INR that may not be detected by monthly INR checks. Incorporating the short-term use of such drugs into bleeding risk scales would be difficult if not impossible a priori. Yet clinicians should be aware that these drugs can affect bleeding risk.

As Hagerty and Rich note,1 the bleeding risk scores were developed for warfarin, and their applicability to patients treated with novel oral anticoagulants is uncertain.

All three of the available bleeding risk scales consider prior bleeding as a risk factor, but the severity of the prior bleeding varies. Although it is understandable to include major bleeding as a risk factor since it carries an increased risk of death, minor bleeding can affect morbidity and quality of life. Only the ATRIA score4 considers both major and minor bleeding, while HEMORR2HAGES7 does not specify bleeding severity, and HAS-BLED5,6 considers only major bleeding. Clearly, there is a need to update these existing bleeding risk scores so that they can apply to novel oral anticoagulants and consider both major and minor bleeding.

As the authors note, for predicting the risk of stroke, the CHA2DS2-VASc score3 provides more precision than the CHADS2 score2 at the lower end of the benefit spectrum. Unfortunately, there is no similar screening tool to predict bleeding risk from anticoagulation with greater precision in the middle to lower part of the risk spectrum.

THE PATIENT’S PREFERENCES MATTER

The patient’s life expectancy and personal preferences are important independent factors that affect the decision of whether to anticoagulate or not. It is the responsibility of clinicians who care for older adults to make sure that these two important considerations are included in any anticoagulation decision-making for this group of patients.

References
  1. Hagerty T, Rich MW. Fall risk and anticoagulation for atrial fibrillation in the elderly: a delicate balance. Cleve Clin J Med 2017; 84:35–40.
  2. Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA 2001; 285:2864–2870.
  3. Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the Euro Heart Survey on atrial fibrillation. Chest 2010; 137:263–272.
  4. Fang MC, Go AS, Chang Y, et al. A new risk scheme to predict warfarin-associated hemorrhage: the ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) study. J Am Coll Cardiol 2011; 58:395–401.
  5. Pisters R, Lane DA, Nieuwlaat R, de Vos CB, Crijns HJ, Lip GY. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest 2010; 138:1093–1100.
  6. Lip GY, Frison L, Halperin JL, Lane DA. Comparative validation of a novel risk score for predicting bleeding risk in anticoagulated patients with atrial fibrillation: the HAS-BLED (Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile INR, Elderly, Drugs/Alcohol Concomitantly) score. J Am Coll Cardiol 2011; 57:173–180.
  7. Gage BF, Yan Y, Milligan PE, et al. Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF). Am Heart J 2006; 151:713–719.
  8. Fang MC, Chang Y, Hylek EM, et al. Advanced age, anticoagulation intensity, and risk for intracranial hemorrhage among patients taking warfarin for atrial fibrillation. Ann Intern Med 2004; 141:745–752.
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Related Articles

The article by Hagerty and Rich in this issue of the Cleveland Clinic Journal of Medicine1 covers an important topic—whether elderly patients with atrial fibrillation should receive anticoagulant therapy for it, or whether the risk of bleeding with this therapy outweighs the benefit of preventing stroke.

See related article

BETTER RISK PREDICTORS ARE NEEDED

Prediction tools are available for estimating the risk of stroke in patients with atrial fibrillation without anticoagulation2,3 and to estimate bleeding risk from anticoagulation4–7 (Table 1). Both tools have limitations, but as Hagerty and Rich point out, the stroke risk scales are likely better than the bleeding risk scales.

For example, Fang et al8 note that the risk of intracranial hemorrhage increases significantly after age 85. The bleeding risk scales use lower age cutoffs than this, perhaps increasing their sensitivity but decreasing their specificity.

Although HAS-BLED5,6 includes antiplatelet drugs such as nonsteroidal anti-inflammatory drugs and aspirin as risk factors for bleeding, ATRIA4 and HEMORR2HAGES7 do not.

Other drugs such as macrolides, quinolones, and high-dose corticosteroids raise the international normalized ratio (INR). These are typically used short-term, but can cause major fluctuations in the INR that may not be detected by monthly INR checks. Incorporating the short-term use of such drugs into bleeding risk scales would be difficult if not impossible a priori. Yet clinicians should be aware that these drugs can affect bleeding risk.

As Hagerty and Rich note,1 the bleeding risk scores were developed for warfarin, and their applicability to patients treated with novel oral anticoagulants is uncertain.

All three of the available bleeding risk scales consider prior bleeding as a risk factor, but the severity of the prior bleeding varies. Although it is understandable to include major bleeding as a risk factor since it carries an increased risk of death, minor bleeding can affect morbidity and quality of life. Only the ATRIA score4 considers both major and minor bleeding, while HEMORR2HAGES7 does not specify bleeding severity, and HAS-BLED5,6 considers only major bleeding. Clearly, there is a need to update these existing bleeding risk scores so that they can apply to novel oral anticoagulants and consider both major and minor bleeding.

As the authors note, for predicting the risk of stroke, the CHA2DS2-VASc score3 provides more precision than the CHADS2 score2 at the lower end of the benefit spectrum. Unfortunately, there is no similar screening tool to predict bleeding risk from anticoagulation with greater precision in the middle to lower part of the risk spectrum.

THE PATIENT’S PREFERENCES MATTER

The patient’s life expectancy and personal preferences are important independent factors that affect the decision of whether to anticoagulate or not. It is the responsibility of clinicians who care for older adults to make sure that these two important considerations are included in any anticoagulation decision-making for this group of patients.

The article by Hagerty and Rich in this issue of the Cleveland Clinic Journal of Medicine1 covers an important topic—whether elderly patients with atrial fibrillation should receive anticoagulant therapy for it, or whether the risk of bleeding with this therapy outweighs the benefit of preventing stroke.

See related article

BETTER RISK PREDICTORS ARE NEEDED

Prediction tools are available for estimating the risk of stroke in patients with atrial fibrillation without anticoagulation2,3 and to estimate bleeding risk from anticoagulation4–7 (Table 1). Both tools have limitations, but as Hagerty and Rich point out, the stroke risk scales are likely better than the bleeding risk scales.

For example, Fang et al8 note that the risk of intracranial hemorrhage increases significantly after age 85. The bleeding risk scales use lower age cutoffs than this, perhaps increasing their sensitivity but decreasing their specificity.

Although HAS-BLED5,6 includes antiplatelet drugs such as nonsteroidal anti-inflammatory drugs and aspirin as risk factors for bleeding, ATRIA4 and HEMORR2HAGES7 do not.

Other drugs such as macrolides, quinolones, and high-dose corticosteroids raise the international normalized ratio (INR). These are typically used short-term, but can cause major fluctuations in the INR that may not be detected by monthly INR checks. Incorporating the short-term use of such drugs into bleeding risk scales would be difficult if not impossible a priori. Yet clinicians should be aware that these drugs can affect bleeding risk.

As Hagerty and Rich note,1 the bleeding risk scores were developed for warfarin, and their applicability to patients treated with novel oral anticoagulants is uncertain.

All three of the available bleeding risk scales consider prior bleeding as a risk factor, but the severity of the prior bleeding varies. Although it is understandable to include major bleeding as a risk factor since it carries an increased risk of death, minor bleeding can affect morbidity and quality of life. Only the ATRIA score4 considers both major and minor bleeding, while HEMORR2HAGES7 does not specify bleeding severity, and HAS-BLED5,6 considers only major bleeding. Clearly, there is a need to update these existing bleeding risk scores so that they can apply to novel oral anticoagulants and consider both major and minor bleeding.

As the authors note, for predicting the risk of stroke, the CHA2DS2-VASc score3 provides more precision than the CHADS2 score2 at the lower end of the benefit spectrum. Unfortunately, there is no similar screening tool to predict bleeding risk from anticoagulation with greater precision in the middle to lower part of the risk spectrum.

THE PATIENT’S PREFERENCES MATTER

The patient’s life expectancy and personal preferences are important independent factors that affect the decision of whether to anticoagulate or not. It is the responsibility of clinicians who care for older adults to make sure that these two important considerations are included in any anticoagulation decision-making for this group of patients.

References
  1. Hagerty T, Rich MW. Fall risk and anticoagulation for atrial fibrillation in the elderly: a delicate balance. Cleve Clin J Med 2017; 84:35–40.
  2. Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA 2001; 285:2864–2870.
  3. Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the Euro Heart Survey on atrial fibrillation. Chest 2010; 137:263–272.
  4. Fang MC, Go AS, Chang Y, et al. A new risk scheme to predict warfarin-associated hemorrhage: the ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) study. J Am Coll Cardiol 2011; 58:395–401.
  5. Pisters R, Lane DA, Nieuwlaat R, de Vos CB, Crijns HJ, Lip GY. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest 2010; 138:1093–1100.
  6. Lip GY, Frison L, Halperin JL, Lane DA. Comparative validation of a novel risk score for predicting bleeding risk in anticoagulated patients with atrial fibrillation: the HAS-BLED (Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile INR, Elderly, Drugs/Alcohol Concomitantly) score. J Am Coll Cardiol 2011; 57:173–180.
  7. Gage BF, Yan Y, Milligan PE, et al. Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF). Am Heart J 2006; 151:713–719.
  8. Fang MC, Chang Y, Hylek EM, et al. Advanced age, anticoagulation intensity, and risk for intracranial hemorrhage among patients taking warfarin for atrial fibrillation. Ann Intern Med 2004; 141:745–752.
References
  1. Hagerty T, Rich MW. Fall risk and anticoagulation for atrial fibrillation in the elderly: a delicate balance. Cleve Clin J Med 2017; 84:35–40.
  2. Gage BF, Waterman AD, Shannon W, Boechler M, Rich MW, Radford MJ. Validation of clinical classification schemes for predicting stroke: results from the National Registry of Atrial Fibrillation. JAMA 2001; 285:2864–2870.
  3. Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the Euro Heart Survey on atrial fibrillation. Chest 2010; 137:263–272.
  4. Fang MC, Go AS, Chang Y, et al. A new risk scheme to predict warfarin-associated hemorrhage: the ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation) study. J Am Coll Cardiol 2011; 58:395–401.
  5. Pisters R, Lane DA, Nieuwlaat R, de Vos CB, Crijns HJ, Lip GY. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. Chest 2010; 138:1093–1100.
  6. Lip GY, Frison L, Halperin JL, Lane DA. Comparative validation of a novel risk score for predicting bleeding risk in anticoagulated patients with atrial fibrillation: the HAS-BLED (Hypertension, Abnormal Renal/Liver Function, Stroke, Bleeding History or Predisposition, Labile INR, Elderly, Drugs/Alcohol Concomitantly) score. J Am Coll Cardiol 2011; 57:173–180.
  7. Gage BF, Yan Y, Milligan PE, et al. Clinical classification schemes for predicting hemorrhage: results from the National Registry of Atrial Fibrillation (NRAF). Am Heart J 2006; 151:713–719.
  8. Fang MC, Chang Y, Hylek EM, et al. Advanced age, anticoagulation intensity, and risk for intracranial hemorrhage among patients taking warfarin for atrial fibrillation. Ann Intern Med 2004; 141:745–752.
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Thrombolysis in submassive pulmonary embolism: Finding the balance

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Thrombolysis in submassive pulmonary embolism: Finding the balance

In this issue of the Journal, Ataya et al1 provide a comprehensive review of thrombolysis in submassive pulmonary embolism, a subject of much debate. In massive pulmonary embolism, thrombolytic therapy is usually indicated2; in submassive pulmonary embolism, the decision is not so clear. Which patients with submassive embolism would benefit from thrombolysis, and which patients require only anticoagulant therapy? The answer lies in finding the balance between the potential benefit of thrombolytic therapy—preventing death or hemodynamic collapse—and the numerically low but potentially catastrophic risk of intracranial bleeding.

See related article

In general, submassive pulmonary embolism refers to an acute pulmonary embolus serious enough to cause evidence of right ventricular dysfunction or necrosis but not hemodynamic instability (ie, with systolic blood pressure > 90 mm Hg) on presentation.3 It accounts for about 25% of cases of pulmonary embolism,4,5 and perhaps 0.5 to 1% of patients admitted to intensive care units across the country.6 The 30-day mortality rate can be as high as 30%, making it a condition that requires prompt identification and appropriate management.

But clinical trials have failed to demonstrate a substantial improvement in mortality rates with thrombolytic therapy in patients with submassive pulmonary embolism, and have shown improvement only in other clinical end points.7 Part of the problem is that this is a heterogeneous condition, posing a challenge for the optimal design and interpretation of studies.

WHO IS AT RISK OF DEATH OR DETERIORATION?

If clinicians could ascertain in each patient whether the risk-benefit ratio is favorable for thrombolytic therapy, it would be easier to provide optimal care. This is not a straightforward task, and it requires integration of clinical judgment, high index of suspicion for deterioration, and clinical tools.

One of the challenges is that it is difficult to identify normotensive patients at the highest risk of poor outcomes. Several factors are associated with a higher risk of death within 30 days (Table 1). While each of these has a negative predictive value of about 95% or even higher (meaning that it is very good at predicting who will not die), they all have very low positive predictive values (meaning that none of them, by itself, is very good at predicting who will die).

For this reason, a multimodal approach to risk stratification has emerged. For example, Jiménez et al8 showed that normotensive patients with acute pulmonary embolism and a combination of abnormal Simplified Pulmonary Embolism Severity Index, elevated B-type natriuretic peptide level, elevated troponin level, and lower-extremity deep vein thrombosis had a 26% rate of complications (death, hemodynamic collapse, or recurrent pulmonary embolism) within 30 days.

Bova et al9 showed that the combination of borderline low systolic blood pressure (90–100 mm Hg), tachycardia (heart rate ≥ 110 beats per minute), elevated troponin, and right ventricular dysfunction by echocardiography or computed tomography allowed for the separation of three groups with significantly different rates of poor outcomes.

WHO IS AT RISK OF BLEEDING?

Estimation of the risk of bleeding is currently less sophisticated, and we need a bleeding score to use in the setting of acute pulmonary embolism. A few studies have shed some light on this issue beyond the known absolute and relative contraindications to thrombolysis.

Ataya et al1 note a meta-analysis10 showing that systemic thrombolytic therapy was not associated with an increased risk of major bleeding in patients age 65 or younger. Similarly, a large observational study showed a strong association between the risk of intracerebral hemorrhage and increasing age11 and also identified comorbidities such as kidney disease as risk factors. While the frequently cited Pulmonary Embolism Thrombolysis trial12 showed a significantly higher risk of stroke with tenecteplase, careful review of its data reveals that all 10 of the 506 patients in the tenecteplase group who sustained a hemorrhagic stroke were age 65 or older.12

A TEAM APPROACH

Thus, in patients with acute pulmonary embolism, clinicians face the difficult task of assessing the patient’s risk of death and clinical worsening and balancing that risk against the risk of bleeding, to identify those who may benefit from early reperfusion therapies, including systemic thrombolysis, catheter-directed thrombolysis, mechanical treatment, and surgical embolectomy.

Given the absence of high-quality evidence to guide these decisions, several institutions have developed multidisciplinary pulmonary embolism response teams to provide rapid evaluation and risk stratification and to recommend and implement advanced therapies, as appropriate. This is a novel concept that is still evolving but holds promise, as it integrates the experience and expertise of physicians in multiple specialties, such as pulmonary and critical care medicine, vascular medicine, interventional radiology, interventional cardiology, emergency medicine, and cardiothoracic surgery, who can then fill the currently existing knowledge gaps for clinical care and, possibly, research.13

Early published experience has documented the feasibility of this multidisciplinary approach.14 The first 95 patients treated at  Cleveland Clinic had a 30-day mortality rate of 3.2%, which was lower than the expected 9% rate predicted by the Pulmonary Embolism Severity Index score (unpublished observation).

Figure 1. Cleveland Clinic pulmonary embolism response team algorithm.

Figure 1 shows the algorithm currently used by Cleveland Clinic’s pulmonary embolism response team, with the caveat that no algorithm can fully capture the extent of the complexities and discussions that each case triggers within the team.

TOWARD BETTER UNDERSTANDING

As Ataya et al point out,1 the current state of the evidence does not allow a clear, simplistic, one-size-fits-all approach. A question that arises from this controversial topic is whether we should look for markers of right ventricular dysfunction in every patient admitted with a diagnosis of pulmonary embolism, or only in those with a significant anatomic burden of clot on imaging. Would testing everyone be an appropriate way to identify patients at risk of further deterioration early and therefore prevent adverse outcomes in a timely manner? Or would it not be cost-effective and translate into ordering more diagnostic testing, as well as an increase in downstream workup with higher healthcare costs?

Once we better understand this condition and the factors that predict a higher risk of deterioration, we should be able to design prospective studies that can help elucidate the most appropriate diagnostic and therapeutic approach for such challenging cases. In the meantime, it is important to appraise the evidence in a critical way, as Ataya et al have done in their review.

References
  1. Ataya A, Cope J, Shahmohammadi A, Alnuaimat H. The role of thrombolytic therapy in patients with submassive pulmonary embolism. Cleve Clin J Med 2016; 83:923–932.
  2. Kucher N, Goldhaber SZ. Management of massive pulmonary embolism. Circulation 2005; 112:e28–e32.
  3. Busse LW, Vourlekis JS. Submassive pulmonary embolism. Crit Care Clin 2014; 30:447–473.
  4. Tapson VF. Acute pulmonary embolism. N Engl J Med 2008; 358:1037–1052.
  5. Kucher N, Rossi E, De Rosa M, Goldhaber SZ. Massive pulmonary embolism. Circulation 2006; 113:577–582.
  6. Bahloul M, Chaari A, Kallel H, et al. Pulmonary embolism in intensive care unit: predictive factors, clinical manifestations and outcome. Ann Thorac Med 2010; 5:97–103.
  7. Piazza G, Goldhaber SZ. Fibrinolysis for acute pulmonary embolism. Vasc Med 2010; 15:419–428.
  8. Jiménez D, Kopecna D, Tapson V, et al. Derivation and validation of multimarker prognostication for normotensive patients with acute symptomatic pulmonary embolism. Am J Respir Crit Care Med 2014; 189:718–726.
  9. Bova C, Sanchez O, Prandoni P, et al. Identification of intermediate-risk patients with acute symptomatic pulmonary embolism. Eur Respir J 2014; 44:694–703.
  10. Chatterjee S, Chakraborty A, Weinberg I, et al. Thrombolysis for pulmonary embolism and risk of all-cause mortality, major bleeding, and intracranial hemorrhage: a meta-analysis. JAMA 2014; 311:2414–2421.
  11. Stein PD, Matta F, Steinberger DS, Keyes DC. Intracerebral hemorrhage with thrombolytic therapy for acute pulmonary embolism. Am J Med 2012; 125:50–56.
  12. Meyer G, Vicaut E, Danays T, et al. Fibrinolysis for patients with intermediate-risk pulmonary embolism. N Engl J Med 2014; 370:1402–1411.
  13. Dudzinski DM, Piazza G. Multidisciplinary pulmonary embolism response teams. Circulation 2016; 133:98–103.
  14. Kabrhel C, Rosovsky R, Channick R, et al. A multidisciplinary pulmonary embolism response team: initial 30-month experience with a novel approach to delivery of care to patients with submassive and massive pulmonary embolism. Chest 2016; 150:384–393.
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Address: Gustavo A. Heresi, MD, Respiratory Institute, A90, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195; [email protected]

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Address: Gustavo A. Heresi, MD, Respiratory Institute, A90, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195; [email protected]

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In this issue of the Journal, Ataya et al1 provide a comprehensive review of thrombolysis in submassive pulmonary embolism, a subject of much debate. In massive pulmonary embolism, thrombolytic therapy is usually indicated2; in submassive pulmonary embolism, the decision is not so clear. Which patients with submassive embolism would benefit from thrombolysis, and which patients require only anticoagulant therapy? The answer lies in finding the balance between the potential benefit of thrombolytic therapy—preventing death or hemodynamic collapse—and the numerically low but potentially catastrophic risk of intracranial bleeding.

See related article

In general, submassive pulmonary embolism refers to an acute pulmonary embolus serious enough to cause evidence of right ventricular dysfunction or necrosis but not hemodynamic instability (ie, with systolic blood pressure > 90 mm Hg) on presentation.3 It accounts for about 25% of cases of pulmonary embolism,4,5 and perhaps 0.5 to 1% of patients admitted to intensive care units across the country.6 The 30-day mortality rate can be as high as 30%, making it a condition that requires prompt identification and appropriate management.

But clinical trials have failed to demonstrate a substantial improvement in mortality rates with thrombolytic therapy in patients with submassive pulmonary embolism, and have shown improvement only in other clinical end points.7 Part of the problem is that this is a heterogeneous condition, posing a challenge for the optimal design and interpretation of studies.

WHO IS AT RISK OF DEATH OR DETERIORATION?

If clinicians could ascertain in each patient whether the risk-benefit ratio is favorable for thrombolytic therapy, it would be easier to provide optimal care. This is not a straightforward task, and it requires integration of clinical judgment, high index of suspicion for deterioration, and clinical tools.

One of the challenges is that it is difficult to identify normotensive patients at the highest risk of poor outcomes. Several factors are associated with a higher risk of death within 30 days (Table 1). While each of these has a negative predictive value of about 95% or even higher (meaning that it is very good at predicting who will not die), they all have very low positive predictive values (meaning that none of them, by itself, is very good at predicting who will die).

For this reason, a multimodal approach to risk stratification has emerged. For example, Jiménez et al8 showed that normotensive patients with acute pulmonary embolism and a combination of abnormal Simplified Pulmonary Embolism Severity Index, elevated B-type natriuretic peptide level, elevated troponin level, and lower-extremity deep vein thrombosis had a 26% rate of complications (death, hemodynamic collapse, or recurrent pulmonary embolism) within 30 days.

Bova et al9 showed that the combination of borderline low systolic blood pressure (90–100 mm Hg), tachycardia (heart rate ≥ 110 beats per minute), elevated troponin, and right ventricular dysfunction by echocardiography or computed tomography allowed for the separation of three groups with significantly different rates of poor outcomes.

WHO IS AT RISK OF BLEEDING?

Estimation of the risk of bleeding is currently less sophisticated, and we need a bleeding score to use in the setting of acute pulmonary embolism. A few studies have shed some light on this issue beyond the known absolute and relative contraindications to thrombolysis.

Ataya et al1 note a meta-analysis10 showing that systemic thrombolytic therapy was not associated with an increased risk of major bleeding in patients age 65 or younger. Similarly, a large observational study showed a strong association between the risk of intracerebral hemorrhage and increasing age11 and also identified comorbidities such as kidney disease as risk factors. While the frequently cited Pulmonary Embolism Thrombolysis trial12 showed a significantly higher risk of stroke with tenecteplase, careful review of its data reveals that all 10 of the 506 patients in the tenecteplase group who sustained a hemorrhagic stroke were age 65 or older.12

A TEAM APPROACH

Thus, in patients with acute pulmonary embolism, clinicians face the difficult task of assessing the patient’s risk of death and clinical worsening and balancing that risk against the risk of bleeding, to identify those who may benefit from early reperfusion therapies, including systemic thrombolysis, catheter-directed thrombolysis, mechanical treatment, and surgical embolectomy.

Given the absence of high-quality evidence to guide these decisions, several institutions have developed multidisciplinary pulmonary embolism response teams to provide rapid evaluation and risk stratification and to recommend and implement advanced therapies, as appropriate. This is a novel concept that is still evolving but holds promise, as it integrates the experience and expertise of physicians in multiple specialties, such as pulmonary and critical care medicine, vascular medicine, interventional radiology, interventional cardiology, emergency medicine, and cardiothoracic surgery, who can then fill the currently existing knowledge gaps for clinical care and, possibly, research.13

Early published experience has documented the feasibility of this multidisciplinary approach.14 The first 95 patients treated at  Cleveland Clinic had a 30-day mortality rate of 3.2%, which was lower than the expected 9% rate predicted by the Pulmonary Embolism Severity Index score (unpublished observation).

Figure 1. Cleveland Clinic pulmonary embolism response team algorithm.

Figure 1 shows the algorithm currently used by Cleveland Clinic’s pulmonary embolism response team, with the caveat that no algorithm can fully capture the extent of the complexities and discussions that each case triggers within the team.

TOWARD BETTER UNDERSTANDING

As Ataya et al point out,1 the current state of the evidence does not allow a clear, simplistic, one-size-fits-all approach. A question that arises from this controversial topic is whether we should look for markers of right ventricular dysfunction in every patient admitted with a diagnosis of pulmonary embolism, or only in those with a significant anatomic burden of clot on imaging. Would testing everyone be an appropriate way to identify patients at risk of further deterioration early and therefore prevent adverse outcomes in a timely manner? Or would it not be cost-effective and translate into ordering more diagnostic testing, as well as an increase in downstream workup with higher healthcare costs?

Once we better understand this condition and the factors that predict a higher risk of deterioration, we should be able to design prospective studies that can help elucidate the most appropriate diagnostic and therapeutic approach for such challenging cases. In the meantime, it is important to appraise the evidence in a critical way, as Ataya et al have done in their review.

In this issue of the Journal, Ataya et al1 provide a comprehensive review of thrombolysis in submassive pulmonary embolism, a subject of much debate. In massive pulmonary embolism, thrombolytic therapy is usually indicated2; in submassive pulmonary embolism, the decision is not so clear. Which patients with submassive embolism would benefit from thrombolysis, and which patients require only anticoagulant therapy? The answer lies in finding the balance between the potential benefit of thrombolytic therapy—preventing death or hemodynamic collapse—and the numerically low but potentially catastrophic risk of intracranial bleeding.

See related article

In general, submassive pulmonary embolism refers to an acute pulmonary embolus serious enough to cause evidence of right ventricular dysfunction or necrosis but not hemodynamic instability (ie, with systolic blood pressure > 90 mm Hg) on presentation.3 It accounts for about 25% of cases of pulmonary embolism,4,5 and perhaps 0.5 to 1% of patients admitted to intensive care units across the country.6 The 30-day mortality rate can be as high as 30%, making it a condition that requires prompt identification and appropriate management.

But clinical trials have failed to demonstrate a substantial improvement in mortality rates with thrombolytic therapy in patients with submassive pulmonary embolism, and have shown improvement only in other clinical end points.7 Part of the problem is that this is a heterogeneous condition, posing a challenge for the optimal design and interpretation of studies.

WHO IS AT RISK OF DEATH OR DETERIORATION?

If clinicians could ascertain in each patient whether the risk-benefit ratio is favorable for thrombolytic therapy, it would be easier to provide optimal care. This is not a straightforward task, and it requires integration of clinical judgment, high index of suspicion for deterioration, and clinical tools.

One of the challenges is that it is difficult to identify normotensive patients at the highest risk of poor outcomes. Several factors are associated with a higher risk of death within 30 days (Table 1). While each of these has a negative predictive value of about 95% or even higher (meaning that it is very good at predicting who will not die), they all have very low positive predictive values (meaning that none of them, by itself, is very good at predicting who will die).

For this reason, a multimodal approach to risk stratification has emerged. For example, Jiménez et al8 showed that normotensive patients with acute pulmonary embolism and a combination of abnormal Simplified Pulmonary Embolism Severity Index, elevated B-type natriuretic peptide level, elevated troponin level, and lower-extremity deep vein thrombosis had a 26% rate of complications (death, hemodynamic collapse, or recurrent pulmonary embolism) within 30 days.

Bova et al9 showed that the combination of borderline low systolic blood pressure (90–100 mm Hg), tachycardia (heart rate ≥ 110 beats per minute), elevated troponin, and right ventricular dysfunction by echocardiography or computed tomography allowed for the separation of three groups with significantly different rates of poor outcomes.

WHO IS AT RISK OF BLEEDING?

Estimation of the risk of bleeding is currently less sophisticated, and we need a bleeding score to use in the setting of acute pulmonary embolism. A few studies have shed some light on this issue beyond the known absolute and relative contraindications to thrombolysis.

Ataya et al1 note a meta-analysis10 showing that systemic thrombolytic therapy was not associated with an increased risk of major bleeding in patients age 65 or younger. Similarly, a large observational study showed a strong association between the risk of intracerebral hemorrhage and increasing age11 and also identified comorbidities such as kidney disease as risk factors. While the frequently cited Pulmonary Embolism Thrombolysis trial12 showed a significantly higher risk of stroke with tenecteplase, careful review of its data reveals that all 10 of the 506 patients in the tenecteplase group who sustained a hemorrhagic stroke were age 65 or older.12

A TEAM APPROACH

Thus, in patients with acute pulmonary embolism, clinicians face the difficult task of assessing the patient’s risk of death and clinical worsening and balancing that risk against the risk of bleeding, to identify those who may benefit from early reperfusion therapies, including systemic thrombolysis, catheter-directed thrombolysis, mechanical treatment, and surgical embolectomy.

Given the absence of high-quality evidence to guide these decisions, several institutions have developed multidisciplinary pulmonary embolism response teams to provide rapid evaluation and risk stratification and to recommend and implement advanced therapies, as appropriate. This is a novel concept that is still evolving but holds promise, as it integrates the experience and expertise of physicians in multiple specialties, such as pulmonary and critical care medicine, vascular medicine, interventional radiology, interventional cardiology, emergency medicine, and cardiothoracic surgery, who can then fill the currently existing knowledge gaps for clinical care and, possibly, research.13

Early published experience has documented the feasibility of this multidisciplinary approach.14 The first 95 patients treated at  Cleveland Clinic had a 30-day mortality rate of 3.2%, which was lower than the expected 9% rate predicted by the Pulmonary Embolism Severity Index score (unpublished observation).

Figure 1. Cleveland Clinic pulmonary embolism response team algorithm.

Figure 1 shows the algorithm currently used by Cleveland Clinic’s pulmonary embolism response team, with the caveat that no algorithm can fully capture the extent of the complexities and discussions that each case triggers within the team.

TOWARD BETTER UNDERSTANDING

As Ataya et al point out,1 the current state of the evidence does not allow a clear, simplistic, one-size-fits-all approach. A question that arises from this controversial topic is whether we should look for markers of right ventricular dysfunction in every patient admitted with a diagnosis of pulmonary embolism, or only in those with a significant anatomic burden of clot on imaging. Would testing everyone be an appropriate way to identify patients at risk of further deterioration early and therefore prevent adverse outcomes in a timely manner? Or would it not be cost-effective and translate into ordering more diagnostic testing, as well as an increase in downstream workup with higher healthcare costs?

Once we better understand this condition and the factors that predict a higher risk of deterioration, we should be able to design prospective studies that can help elucidate the most appropriate diagnostic and therapeutic approach for such challenging cases. In the meantime, it is important to appraise the evidence in a critical way, as Ataya et al have done in their review.

References
  1. Ataya A, Cope J, Shahmohammadi A, Alnuaimat H. The role of thrombolytic therapy in patients with submassive pulmonary embolism. Cleve Clin J Med 2016; 83:923–932.
  2. Kucher N, Goldhaber SZ. Management of massive pulmonary embolism. Circulation 2005; 112:e28–e32.
  3. Busse LW, Vourlekis JS. Submassive pulmonary embolism. Crit Care Clin 2014; 30:447–473.
  4. Tapson VF. Acute pulmonary embolism. N Engl J Med 2008; 358:1037–1052.
  5. Kucher N, Rossi E, De Rosa M, Goldhaber SZ. Massive pulmonary embolism. Circulation 2006; 113:577–582.
  6. Bahloul M, Chaari A, Kallel H, et al. Pulmonary embolism in intensive care unit: predictive factors, clinical manifestations and outcome. Ann Thorac Med 2010; 5:97–103.
  7. Piazza G, Goldhaber SZ. Fibrinolysis for acute pulmonary embolism. Vasc Med 2010; 15:419–428.
  8. Jiménez D, Kopecna D, Tapson V, et al. Derivation and validation of multimarker prognostication for normotensive patients with acute symptomatic pulmonary embolism. Am J Respir Crit Care Med 2014; 189:718–726.
  9. Bova C, Sanchez O, Prandoni P, et al. Identification of intermediate-risk patients with acute symptomatic pulmonary embolism. Eur Respir J 2014; 44:694–703.
  10. Chatterjee S, Chakraborty A, Weinberg I, et al. Thrombolysis for pulmonary embolism and risk of all-cause mortality, major bleeding, and intracranial hemorrhage: a meta-analysis. JAMA 2014; 311:2414–2421.
  11. Stein PD, Matta F, Steinberger DS, Keyes DC. Intracerebral hemorrhage with thrombolytic therapy for acute pulmonary embolism. Am J Med 2012; 125:50–56.
  12. Meyer G, Vicaut E, Danays T, et al. Fibrinolysis for patients with intermediate-risk pulmonary embolism. N Engl J Med 2014; 370:1402–1411.
  13. Dudzinski DM, Piazza G. Multidisciplinary pulmonary embolism response teams. Circulation 2016; 133:98–103.
  14. Kabrhel C, Rosovsky R, Channick R, et al. A multidisciplinary pulmonary embolism response team: initial 30-month experience with a novel approach to delivery of care to patients with submassive and massive pulmonary embolism. Chest 2016; 150:384–393.
References
  1. Ataya A, Cope J, Shahmohammadi A, Alnuaimat H. The role of thrombolytic therapy in patients with submassive pulmonary embolism. Cleve Clin J Med 2016; 83:923–932.
  2. Kucher N, Goldhaber SZ. Management of massive pulmonary embolism. Circulation 2005; 112:e28–e32.
  3. Busse LW, Vourlekis JS. Submassive pulmonary embolism. Crit Care Clin 2014; 30:447–473.
  4. Tapson VF. Acute pulmonary embolism. N Engl J Med 2008; 358:1037–1052.
  5. Kucher N, Rossi E, De Rosa M, Goldhaber SZ. Massive pulmonary embolism. Circulation 2006; 113:577–582.
  6. Bahloul M, Chaari A, Kallel H, et al. Pulmonary embolism in intensive care unit: predictive factors, clinical manifestations and outcome. Ann Thorac Med 2010; 5:97–103.
  7. Piazza G, Goldhaber SZ. Fibrinolysis for acute pulmonary embolism. Vasc Med 2010; 15:419–428.
  8. Jiménez D, Kopecna D, Tapson V, et al. Derivation and validation of multimarker prognostication for normotensive patients with acute symptomatic pulmonary embolism. Am J Respir Crit Care Med 2014; 189:718–726.
  9. Bova C, Sanchez O, Prandoni P, et al. Identification of intermediate-risk patients with acute symptomatic pulmonary embolism. Eur Respir J 2014; 44:694–703.
  10. Chatterjee S, Chakraborty A, Weinberg I, et al. Thrombolysis for pulmonary embolism and risk of all-cause mortality, major bleeding, and intracranial hemorrhage: a meta-analysis. JAMA 2014; 311:2414–2421.
  11. Stein PD, Matta F, Steinberger DS, Keyes DC. Intracerebral hemorrhage with thrombolytic therapy for acute pulmonary embolism. Am J Med 2012; 125:50–56.
  12. Meyer G, Vicaut E, Danays T, et al. Fibrinolysis for patients with intermediate-risk pulmonary embolism. N Engl J Med 2014; 370:1402–1411.
  13. Dudzinski DM, Piazza G. Multidisciplinary pulmonary embolism response teams. Circulation 2016; 133:98–103.
  14. Kabrhel C, Rosovsky R, Channick R, et al. A multidisciplinary pulmonary embolism response team: initial 30-month experience with a novel approach to delivery of care to patients with submassive and massive pulmonary embolism. Chest 2016; 150:384–393.
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Seeking medical care abroad: A challenge to empathy

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Seeking medical care abroad: A challenge to empathy

On an otherwise pleasant evening during the first week of July 2016, a businessman who was a citizen of the United Arab Emirates visiting Cleveland for medical treatment was falsely accused of links to a terror organization. Officers stormed his hotel with assault rifles and handcuffed and arrested him—all this, apparently, because the man was dressed in traditional Emirati clothing.

See related article

This case highlights a level of complexity in providing medical care to foreigners far beyond language interpreting services and outside the borders of the institution where medical care is provided. In the current issue of the Journal, Cawcutt and Wilson1 review their experiences in the care of international patients and the unique challenges associated with it.

FROM THE TEMPLE OF AESCULAPIUS TO CLEVELAND CLINIC

In 2015, patients from more than 100 countries traveled to Cleveland seeking care at Cleveland Clinic. But medical travel was part of the practice of medicine long before major US hospitals became destinations for international patients, and it has been refined over the years.

Ancient cultures had a thriving tradition of patients traveling long distances for the best and most advanced medical treatment.2–4 In ancient Greece, people from all around the Mediterranean came to the city of Epidaurus to be cured in its famous temple of Aesculapius, built as a medical center.

Similarly, early Islamic cultures established a healthcare system that catered to foreigners. A noted example is the Mansuri hospital in Cairo, built in 1248 ce and considered the most advanced hospital of its time. Accommodating nearly 8,000 patients, the Mansuri hospital became a healthcare destination for foreigners regardless of race or religion.2–4

Europe also had a great tradition of providing medical care to foreign patients. Between the 15th and 17th centuries, belief in the healing power of mineral water led to the establishment of spas and the rise of spa towns, particularly in the south of France near mineral springs. The poor sanitary conditions of Europe at the time may have prompted the interest in the healing effect of mineral spas, but wealthy individuals from all over the world traveled to these destinations, creating local prosperity due to medical tourism.2–4

The city of Bath, in England, is a great example. In the 1720s, Bath was a popular destination for those traveling for healthcare. It became the first city in England to build a covered sewage system, ahead of London by several years. It also had paved roads, lights, hotels, and restaurants in much greater numbers than other cities in England, a likely result of prosperity associated with medical tourism.

ALL PATIENTS WANT TO BE TREATED WITH RESPECT AND KINDNESS

While medical knowledge and health delivery models have changed over the years, caring for foreign patients is perhaps as old as medicine itself. The central focus of restoring health is certainly not unique to international patients, but understanding their unique needs is important in order to achieve the best outcomes, something that Cawcutt and Wilson highlight well.1

A number of studies have addressed the question of what patients really want. Responses were surprisingly consistent: they want to be treated with respect and kindness.5,6 In other words, they want empathy, and this is true of all patients regardless of ethnicity or background. Empathy is a tremendous therapeutic force and can narrow what may look like an unbridgeable gap between patient and physician.7,8

EMPATHY REQUIRES EFFECTIVE COMMUNICATION

Empathy, though sometimes innate, requires effective communication and shared experiences. Neither of these two requirements is easily achievable in the care of foreign patients.

Communication is hampered by language barriers, although it can be enhanced significantly by language translating services and the work of certified medical interpreters. These often-invisible heroes should be recognized as essential members of the medical team. Their work requires cultural sensitivity and formal training to avoid miscommunication and medical errors. Codes of ethics for medical interpreters include confidentiality, accuracy in conveying the content and spirit of the message, freedom from personal biases, cultural training, and professional boundaries.9

TOWARD CULTURAL COMPETENCY

Lack of shared experiences between the foreign patient and care provider is an even greater obstacle to overcome in eliminating any empathy deficit. Shared experiences, whether cultural, religious, or social, help us to see the world through the eyes of the patient.

International patients may differ from us in background, ethnicity, religion, dress, expectations, and other areas. Cultural and religious backgrounds often dictate certain behaviors in the event of critical illness or death. Even in routine and less acute medical care, the background of a foreign patient may lead to logistical quandaries such as the need for same-sex caregivers or a private room.

A paradox currently exists in our efforts to meet patients’ need and desire for empathy. While culturally empathic care is necessary to achieve the best medical outcomes, this topic is not yet part of the curriculum for physicians or other healthcare providers in training. A culturally sensitive institution has many business advantages.10 Thorough and focused cultural training of medical staff is essential. Shared experiences can potentially be fashioned through a well-designed cultural competency training program to enhance empathy for foreign patients.

A SERVICE-ORIENTED APPROACH

Besides cultural competency and language training, a service-oriented approach to accommodate the needs of medical travelers and their family members is of paramount importance. Many of the complaints and burdens of medical visitors concern services that are not medical in nature, such as daily living necessities. Transportation, religious services, banking, extended-stay facilities, cell phone service, legal services, shopping, dining, and entertainment are among many other living needs for those receiving medical care abroad. These services are inconsistently provided throughout medical institutions in the United States, which provide care to thousands of international patients annually.

Unique challenges of providing medical care to international patients have direct effects on medical outcomes. A population-based cohort study of US-born and foreign-born adults with lung or colorectal cancer suggested disparities in quality and type of care.11 Foreign-born patients reported lower-quality care and were less likely to receive complex cancer treatments recommended by clinical guidelines. The authors proposed that quality of care and outcomes may be improved with greater emphasis on coordination of care and improving communication. Similar findings were reported in foreign-born patients with breast cancer.12

‘WHAT WOULD YOU THINK TO BE USED THUS?’

Four hundred years ago, in the play Sir Thomas More (a collaboration between several Elizabethan playwrights),13 the title character confronts a mob of anti-immigrant rioters, and in a speech believed to have been written by William Shakespeare (Act 2, Scene 4), asks them to imagine themselves banished to a foreign country and subjected to hostility such as they were meting out:

“...What would you think
To be used thus?”

Empathy for foreigners seeking medical care is not merely an act of kindness; rather, it is a central piece of healing. Medical institutions interested in providing healthcare to this unique group of patients should take these principles into account and carefully examine their ability to deliver compassionate care collectively to local and foreign-born patients alike.

References
  1. Cawcutt KA, Wilson JW. The benefits and challenges of caring for international patients. Cleve Clin J Med 2016; 83:794–800.
  2. Health-Tourism.com. The history of medical tourism. Health-Tourism.com. www.health-tourism.com/medical-tourism/history/. Accessed September 21, 2016.
  3. Chen LH, Hochberg NS, Magill AJ. The pre-travel consultation. US Centers for Disease Control and Prevention. wwwnc.cdc.gov/travel/yellowbook/2016/the-pre-travel-consultation/the-pre-travel-consultation. Accessed September 21, 2016.
  4. Rogers K. Medical tourism. Encyclopedia Britannica. www.britannica.com/topic/medical-tourism. Accessed September 21, 2016.
  5. Detsky AS. What do patients really want from healthcare? JAMA 2011; 306:2500–2501.
  6. Shaywitz D. What do patients really want from healthcare? Forbes Dec 24, 2011. www.forbes.com/sites/davidshaywitz/2011/12/24/what-do-patients-really-want-from-health-care/print/. Accessed September 21, 2016.
  7. Lee TH. How to spread empathy in healthcare. Harvard Business Review July 17, 2014.
  8. Friedman R. Understanding empathy: can you feel my pain? New York Times April 24, 2007.
  9. National Council on Interpreting in Health Care. A national code of ethics for interpreters in healthcare. July 2004. www.ncihc.org/assets/documents/publications/NCIHC%20National%20Code%20of%20Ethics.pdf. Accessed September 21, 2016.
  10. Minguet L. Creating a culturally sensitive corporation. Harvard Business Review, September 2014.
  11. Nielsen SS, He Y, Ayanian JZ, Gomez SL, Khan KL, West DW, et al. Quality of cancer care among foreign-born patients with lung or colorectal cancer. Cancer 2010; 116:5497–5506.
  12. Kouri EM, He Y, Winer EP, Keating NL. Influence of birthplace on breast cancer diagnosis and treatment for Hispanic women. Breast Cancer Res Treat 2009; 121:743–751.
  13. Dyce A, editor. Sir Thomas More, a play. London: The Shakespeare Society, 1844. https://archive.org/details/sirthomasmorepla00mund. Accessed September 21, 2016. 
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Nizar N. Zein, MD, FAASLD
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Address: Nizar N. Zein, MD, FAASLD, KK30, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195; [email protected]

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Address: Nizar N. Zein, MD, FAASLD, KK30, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195; [email protected]

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Nizar N. Zein, MD, FAASLD
Chair, Global Patient Services; Mikati Foundation Endowed Chair in Liver Diseases, Department of Gastroenterology and Hepatology; and Transplantation Center, Cleveland Clinic; Associate Professor, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH

Address: Nizar N. Zein, MD, FAASLD, KK30, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195; [email protected]

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Related Articles

On an otherwise pleasant evening during the first week of July 2016, a businessman who was a citizen of the United Arab Emirates visiting Cleveland for medical treatment was falsely accused of links to a terror organization. Officers stormed his hotel with assault rifles and handcuffed and arrested him—all this, apparently, because the man was dressed in traditional Emirati clothing.

See related article

This case highlights a level of complexity in providing medical care to foreigners far beyond language interpreting services and outside the borders of the institution where medical care is provided. In the current issue of the Journal, Cawcutt and Wilson1 review their experiences in the care of international patients and the unique challenges associated with it.

FROM THE TEMPLE OF AESCULAPIUS TO CLEVELAND CLINIC

In 2015, patients from more than 100 countries traveled to Cleveland seeking care at Cleveland Clinic. But medical travel was part of the practice of medicine long before major US hospitals became destinations for international patients, and it has been refined over the years.

Ancient cultures had a thriving tradition of patients traveling long distances for the best and most advanced medical treatment.2–4 In ancient Greece, people from all around the Mediterranean came to the city of Epidaurus to be cured in its famous temple of Aesculapius, built as a medical center.

Similarly, early Islamic cultures established a healthcare system that catered to foreigners. A noted example is the Mansuri hospital in Cairo, built in 1248 ce and considered the most advanced hospital of its time. Accommodating nearly 8,000 patients, the Mansuri hospital became a healthcare destination for foreigners regardless of race or religion.2–4

Europe also had a great tradition of providing medical care to foreign patients. Between the 15th and 17th centuries, belief in the healing power of mineral water led to the establishment of spas and the rise of spa towns, particularly in the south of France near mineral springs. The poor sanitary conditions of Europe at the time may have prompted the interest in the healing effect of mineral spas, but wealthy individuals from all over the world traveled to these destinations, creating local prosperity due to medical tourism.2–4

The city of Bath, in England, is a great example. In the 1720s, Bath was a popular destination for those traveling for healthcare. It became the first city in England to build a covered sewage system, ahead of London by several years. It also had paved roads, lights, hotels, and restaurants in much greater numbers than other cities in England, a likely result of prosperity associated with medical tourism.

ALL PATIENTS WANT TO BE TREATED WITH RESPECT AND KINDNESS

While medical knowledge and health delivery models have changed over the years, caring for foreign patients is perhaps as old as medicine itself. The central focus of restoring health is certainly not unique to international patients, but understanding their unique needs is important in order to achieve the best outcomes, something that Cawcutt and Wilson highlight well.1

A number of studies have addressed the question of what patients really want. Responses were surprisingly consistent: they want to be treated with respect and kindness.5,6 In other words, they want empathy, and this is true of all patients regardless of ethnicity or background. Empathy is a tremendous therapeutic force and can narrow what may look like an unbridgeable gap between patient and physician.7,8

EMPATHY REQUIRES EFFECTIVE COMMUNICATION

Empathy, though sometimes innate, requires effective communication and shared experiences. Neither of these two requirements is easily achievable in the care of foreign patients.

Communication is hampered by language barriers, although it can be enhanced significantly by language translating services and the work of certified medical interpreters. These often-invisible heroes should be recognized as essential members of the medical team. Their work requires cultural sensitivity and formal training to avoid miscommunication and medical errors. Codes of ethics for medical interpreters include confidentiality, accuracy in conveying the content and spirit of the message, freedom from personal biases, cultural training, and professional boundaries.9

TOWARD CULTURAL COMPETENCY

Lack of shared experiences between the foreign patient and care provider is an even greater obstacle to overcome in eliminating any empathy deficit. Shared experiences, whether cultural, religious, or social, help us to see the world through the eyes of the patient.

International patients may differ from us in background, ethnicity, religion, dress, expectations, and other areas. Cultural and religious backgrounds often dictate certain behaviors in the event of critical illness or death. Even in routine and less acute medical care, the background of a foreign patient may lead to logistical quandaries such as the need for same-sex caregivers or a private room.

A paradox currently exists in our efforts to meet patients’ need and desire for empathy. While culturally empathic care is necessary to achieve the best medical outcomes, this topic is not yet part of the curriculum for physicians or other healthcare providers in training. A culturally sensitive institution has many business advantages.10 Thorough and focused cultural training of medical staff is essential. Shared experiences can potentially be fashioned through a well-designed cultural competency training program to enhance empathy for foreign patients.

A SERVICE-ORIENTED APPROACH

Besides cultural competency and language training, a service-oriented approach to accommodate the needs of medical travelers and their family members is of paramount importance. Many of the complaints and burdens of medical visitors concern services that are not medical in nature, such as daily living necessities. Transportation, religious services, banking, extended-stay facilities, cell phone service, legal services, shopping, dining, and entertainment are among many other living needs for those receiving medical care abroad. These services are inconsistently provided throughout medical institutions in the United States, which provide care to thousands of international patients annually.

Unique challenges of providing medical care to international patients have direct effects on medical outcomes. A population-based cohort study of US-born and foreign-born adults with lung or colorectal cancer suggested disparities in quality and type of care.11 Foreign-born patients reported lower-quality care and were less likely to receive complex cancer treatments recommended by clinical guidelines. The authors proposed that quality of care and outcomes may be improved with greater emphasis on coordination of care and improving communication. Similar findings were reported in foreign-born patients with breast cancer.12

‘WHAT WOULD YOU THINK TO BE USED THUS?’

Four hundred years ago, in the play Sir Thomas More (a collaboration between several Elizabethan playwrights),13 the title character confronts a mob of anti-immigrant rioters, and in a speech believed to have been written by William Shakespeare (Act 2, Scene 4), asks them to imagine themselves banished to a foreign country and subjected to hostility such as they were meting out:

“...What would you think
To be used thus?”

Empathy for foreigners seeking medical care is not merely an act of kindness; rather, it is a central piece of healing. Medical institutions interested in providing healthcare to this unique group of patients should take these principles into account and carefully examine their ability to deliver compassionate care collectively to local and foreign-born patients alike.

On an otherwise pleasant evening during the first week of July 2016, a businessman who was a citizen of the United Arab Emirates visiting Cleveland for medical treatment was falsely accused of links to a terror organization. Officers stormed his hotel with assault rifles and handcuffed and arrested him—all this, apparently, because the man was dressed in traditional Emirati clothing.

See related article

This case highlights a level of complexity in providing medical care to foreigners far beyond language interpreting services and outside the borders of the institution where medical care is provided. In the current issue of the Journal, Cawcutt and Wilson1 review their experiences in the care of international patients and the unique challenges associated with it.

FROM THE TEMPLE OF AESCULAPIUS TO CLEVELAND CLINIC

In 2015, patients from more than 100 countries traveled to Cleveland seeking care at Cleveland Clinic. But medical travel was part of the practice of medicine long before major US hospitals became destinations for international patients, and it has been refined over the years.

Ancient cultures had a thriving tradition of patients traveling long distances for the best and most advanced medical treatment.2–4 In ancient Greece, people from all around the Mediterranean came to the city of Epidaurus to be cured in its famous temple of Aesculapius, built as a medical center.

Similarly, early Islamic cultures established a healthcare system that catered to foreigners. A noted example is the Mansuri hospital in Cairo, built in 1248 ce and considered the most advanced hospital of its time. Accommodating nearly 8,000 patients, the Mansuri hospital became a healthcare destination for foreigners regardless of race or religion.2–4

Europe also had a great tradition of providing medical care to foreign patients. Between the 15th and 17th centuries, belief in the healing power of mineral water led to the establishment of spas and the rise of spa towns, particularly in the south of France near mineral springs. The poor sanitary conditions of Europe at the time may have prompted the interest in the healing effect of mineral spas, but wealthy individuals from all over the world traveled to these destinations, creating local prosperity due to medical tourism.2–4

The city of Bath, in England, is a great example. In the 1720s, Bath was a popular destination for those traveling for healthcare. It became the first city in England to build a covered sewage system, ahead of London by several years. It also had paved roads, lights, hotels, and restaurants in much greater numbers than other cities in England, a likely result of prosperity associated with medical tourism.

ALL PATIENTS WANT TO BE TREATED WITH RESPECT AND KINDNESS

While medical knowledge and health delivery models have changed over the years, caring for foreign patients is perhaps as old as medicine itself. The central focus of restoring health is certainly not unique to international patients, but understanding their unique needs is important in order to achieve the best outcomes, something that Cawcutt and Wilson highlight well.1

A number of studies have addressed the question of what patients really want. Responses were surprisingly consistent: they want to be treated with respect and kindness.5,6 In other words, they want empathy, and this is true of all patients regardless of ethnicity or background. Empathy is a tremendous therapeutic force and can narrow what may look like an unbridgeable gap between patient and physician.7,8

EMPATHY REQUIRES EFFECTIVE COMMUNICATION

Empathy, though sometimes innate, requires effective communication and shared experiences. Neither of these two requirements is easily achievable in the care of foreign patients.

Communication is hampered by language barriers, although it can be enhanced significantly by language translating services and the work of certified medical interpreters. These often-invisible heroes should be recognized as essential members of the medical team. Their work requires cultural sensitivity and formal training to avoid miscommunication and medical errors. Codes of ethics for medical interpreters include confidentiality, accuracy in conveying the content and spirit of the message, freedom from personal biases, cultural training, and professional boundaries.9

TOWARD CULTURAL COMPETENCY

Lack of shared experiences between the foreign patient and care provider is an even greater obstacle to overcome in eliminating any empathy deficit. Shared experiences, whether cultural, religious, or social, help us to see the world through the eyes of the patient.

International patients may differ from us in background, ethnicity, religion, dress, expectations, and other areas. Cultural and religious backgrounds often dictate certain behaviors in the event of critical illness or death. Even in routine and less acute medical care, the background of a foreign patient may lead to logistical quandaries such as the need for same-sex caregivers or a private room.

A paradox currently exists in our efforts to meet patients’ need and desire for empathy. While culturally empathic care is necessary to achieve the best medical outcomes, this topic is not yet part of the curriculum for physicians or other healthcare providers in training. A culturally sensitive institution has many business advantages.10 Thorough and focused cultural training of medical staff is essential. Shared experiences can potentially be fashioned through a well-designed cultural competency training program to enhance empathy for foreign patients.

A SERVICE-ORIENTED APPROACH

Besides cultural competency and language training, a service-oriented approach to accommodate the needs of medical travelers and their family members is of paramount importance. Many of the complaints and burdens of medical visitors concern services that are not medical in nature, such as daily living necessities. Transportation, religious services, banking, extended-stay facilities, cell phone service, legal services, shopping, dining, and entertainment are among many other living needs for those receiving medical care abroad. These services are inconsistently provided throughout medical institutions in the United States, which provide care to thousands of international patients annually.

Unique challenges of providing medical care to international patients have direct effects on medical outcomes. A population-based cohort study of US-born and foreign-born adults with lung or colorectal cancer suggested disparities in quality and type of care.11 Foreign-born patients reported lower-quality care and were less likely to receive complex cancer treatments recommended by clinical guidelines. The authors proposed that quality of care and outcomes may be improved with greater emphasis on coordination of care and improving communication. Similar findings were reported in foreign-born patients with breast cancer.12

‘WHAT WOULD YOU THINK TO BE USED THUS?’

Four hundred years ago, in the play Sir Thomas More (a collaboration between several Elizabethan playwrights),13 the title character confronts a mob of anti-immigrant rioters, and in a speech believed to have been written by William Shakespeare (Act 2, Scene 4), asks them to imagine themselves banished to a foreign country and subjected to hostility such as they were meting out:

“...What would you think
To be used thus?”

Empathy for foreigners seeking medical care is not merely an act of kindness; rather, it is a central piece of healing. Medical institutions interested in providing healthcare to this unique group of patients should take these principles into account and carefully examine their ability to deliver compassionate care collectively to local and foreign-born patients alike.

References
  1. Cawcutt KA, Wilson JW. The benefits and challenges of caring for international patients. Cleve Clin J Med 2016; 83:794–800.
  2. Health-Tourism.com. The history of medical tourism. Health-Tourism.com. www.health-tourism.com/medical-tourism/history/. Accessed September 21, 2016.
  3. Chen LH, Hochberg NS, Magill AJ. The pre-travel consultation. US Centers for Disease Control and Prevention. wwwnc.cdc.gov/travel/yellowbook/2016/the-pre-travel-consultation/the-pre-travel-consultation. Accessed September 21, 2016.
  4. Rogers K. Medical tourism. Encyclopedia Britannica. www.britannica.com/topic/medical-tourism. Accessed September 21, 2016.
  5. Detsky AS. What do patients really want from healthcare? JAMA 2011; 306:2500–2501.
  6. Shaywitz D. What do patients really want from healthcare? Forbes Dec 24, 2011. www.forbes.com/sites/davidshaywitz/2011/12/24/what-do-patients-really-want-from-health-care/print/. Accessed September 21, 2016.
  7. Lee TH. How to spread empathy in healthcare. Harvard Business Review July 17, 2014.
  8. Friedman R. Understanding empathy: can you feel my pain? New York Times April 24, 2007.
  9. National Council on Interpreting in Health Care. A national code of ethics for interpreters in healthcare. July 2004. www.ncihc.org/assets/documents/publications/NCIHC%20National%20Code%20of%20Ethics.pdf. Accessed September 21, 2016.
  10. Minguet L. Creating a culturally sensitive corporation. Harvard Business Review, September 2014.
  11. Nielsen SS, He Y, Ayanian JZ, Gomez SL, Khan KL, West DW, et al. Quality of cancer care among foreign-born patients with lung or colorectal cancer. Cancer 2010; 116:5497–5506.
  12. Kouri EM, He Y, Winer EP, Keating NL. Influence of birthplace on breast cancer diagnosis and treatment for Hispanic women. Breast Cancer Res Treat 2009; 121:743–751.
  13. Dyce A, editor. Sir Thomas More, a play. London: The Shakespeare Society, 1844. https://archive.org/details/sirthomasmorepla00mund. Accessed September 21, 2016. 
References
  1. Cawcutt KA, Wilson JW. The benefits and challenges of caring for international patients. Cleve Clin J Med 2016; 83:794–800.
  2. Health-Tourism.com. The history of medical tourism. Health-Tourism.com. www.health-tourism.com/medical-tourism/history/. Accessed September 21, 2016.
  3. Chen LH, Hochberg NS, Magill AJ. The pre-travel consultation. US Centers for Disease Control and Prevention. wwwnc.cdc.gov/travel/yellowbook/2016/the-pre-travel-consultation/the-pre-travel-consultation. Accessed September 21, 2016.
  4. Rogers K. Medical tourism. Encyclopedia Britannica. www.britannica.com/topic/medical-tourism. Accessed September 21, 2016.
  5. Detsky AS. What do patients really want from healthcare? JAMA 2011; 306:2500–2501.
  6. Shaywitz D. What do patients really want from healthcare? Forbes Dec 24, 2011. www.forbes.com/sites/davidshaywitz/2011/12/24/what-do-patients-really-want-from-health-care/print/. Accessed September 21, 2016.
  7. Lee TH. How to spread empathy in healthcare. Harvard Business Review July 17, 2014.
  8. Friedman R. Understanding empathy: can you feel my pain? New York Times April 24, 2007.
  9. National Council on Interpreting in Health Care. A national code of ethics for interpreters in healthcare. July 2004. www.ncihc.org/assets/documents/publications/NCIHC%20National%20Code%20of%20Ethics.pdf. Accessed September 21, 2016.
  10. Minguet L. Creating a culturally sensitive corporation. Harvard Business Review, September 2014.
  11. Nielsen SS, He Y, Ayanian JZ, Gomez SL, Khan KL, West DW, et al. Quality of cancer care among foreign-born patients with lung or colorectal cancer. Cancer 2010; 116:5497–5506.
  12. Kouri EM, He Y, Winer EP, Keating NL. Influence of birthplace on breast cancer diagnosis and treatment for Hispanic women. Breast Cancer Res Treat 2009; 121:743–751.
  13. Dyce A, editor. Sir Thomas More, a play. London: The Shakespeare Society, 1844. https://archive.org/details/sirthomasmorepla00mund. Accessed September 21, 2016. 
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Evolution of heart failure management: Miles to go

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Evolution of heart failure management: Miles to go

The woods are lovely, dark and deep,
But I have promises to keep,
And miles to go before I sleep,
And miles to go before I sleep.

—Robert Frost, “Stopping by Woods on a Snowy Evening”1

Frost's words are simple yet elegant. They can be interpreted many ways. I see the allegory of life as a journey in this poem. The passage, like the woods, is beautiful, but there is a long, long way to go.

See related article

And so it is with the treatment of heart failure. There is beauty in our understanding of the syndrome’s physiologic complexities and natural history, and of effective treatments uncovered. Still, we’ve a monstrous climb ahead to get to the summit of this clinical challenge in order to start a real descent.

THE PAST, PRESENT, AND FUTURE OF HEART FAILURE THERAPY

Okwuosa et al,2 in this issue of the Journal, have capably summarized the ABCs of treating heart failure with reduced ejection fraction (also called systolic heart failure), approaching the subject from a perspective on past, present, and future therapies. They summarize heart failure interventions with a guideline-based philosophy, pointing out that these care paths are supposed to be evidence-based. They observe that in the 1960s the standard of care was digitalis, diuretics (furosemide first became available in 1967), and rest. That was about all we had for this problem.

There are now many drugs, devices, and operations that help patients with heart failure. But they never really cure the disease or, more aptly, the syndrome—and therapies are supposed to cure. This limitation of present therapies is important, given the disturbing epidemiology of heart failure, its economic cost, and the suffering of patients. That burden is well detailed.

In addition to curing, the overarching goals of treatment generally are to ameliorate distressing symptoms and to prevent comorbidities. In heart failure with reduced ejection fraction, we want to prevent premature death, stroke, myocardial infarction, congestive states, hospitalization, renal insufficiency, renal failure, cachexia, inanition, feebleness, and respiratory distress, among others.

The ABC mnemonic of Okwuosa et al will help caregivers remember the basics. It is important, however, to put algorithms into proper perspective and to look toward the future.

PROBLEMS WITH EVIDENCE-BASED MEDICINE

Several problems with our current heart failure treatments are rooted in how we perform clinical trials, arguably the premier method of determining truth in clinical practice and the foundation of evidence-based medicine.3,4

Do the trials represent real-world practice?

Were the clinical trials that led to regulatory approval and professional society endorsement of the therapies that we prescribe in our offices done in the same sorts of patients as those in our waiting rooms asking for help? Perhaps, for the most part, they have been. And thus, Okwuosa et al have crafted a work relevant to all of us and every patient.

But I believe there are major gaps in the types of participants enrolled in trials, eg, underrepresentation of certain racial and ethnic groups, not to mention the relative paucity of women. The very elderly (a rapidly growing population) have largely been ignored as well, and participants with significant renal insufficiency, anemia, and diabetes mellitus seem far fewer than what we deal with in a busy clinic.

In addition, Okwuosa et al focus only on patients with reduced left ventricular ejection fraction, a group that makes up only about half of the heart failure crowd.

What about quality of life and other important outcomes?

Clinical trials in heart failure with reduced ejection fraction have generally focused on major clinical end points (primarily, but not exclusively, mortality), to the exclusion of quality of life. Though sometimes included in trials, quality-of-life metrics generally get relegated to second-class seats or ‘tween-deck steerage. Perhaps that is because measuring quality of life can be time-consuming and difficult.

Yet, in the words of sociologist William Bruce Cameron, not everything that counts can be counted, and not everything that can be counted counts. That goes for quality of life.

Lies, damned lies, and P values

Quandaries in data management and analysis include what to do about trial dropouts, study power, precision of statistical analysis, intention-to-treat principles, and choice of the P value that defines significance (or not) for any end point observation. Of course, there are myriad sophisticated mathematical and statistical reasons to justify why we don’t simply count on-treatment participants or allow imputation of results when patients or results drop out, forcing us to worship at the altar of P < .05.

A review of the P value concept5 recently appeared with an accompanying editorial by Kyriacou6 that concluded that “the automatic application of dichotomized hypothesis testing based on prearranged levels of statistical significance should be substituted with a more complex process using effect estimates, confidence intervals, and even P values, thereby permitting scientists, statisticians, and clinicians to use their own inferential capabilities to assign scientific significance.”6

How many great treatments have we tossed out because of rigid reliance on old-fashioned approaches to determining therapeutic evidence? Many treatments studied have had great results in a minority of patients in clinical trials but did not have a major positive (or negative) impact on the overall cohort (with lack of primary end point statistical significance). And what to do when the primary end point is a neutral or negative one but secondary end points are positive? Why not focus more attention on those patients benefiting from an intervention despite the overall results of any trial?

Dilemmas of trials

Other issues are that clinical trials cost too much, and that recruitment and follow-up take too long. Intercurrent therapies (and guidelines) can emerge that jeopardize the trial itself or make observations untimely. The dilemma of stacking therapies one on top of another, often making patient compliance impossible, is another problem with clinical trials. Yet this is how we get to the ABCs.

A NEW WAY TO DO TRIALS

The information provided by Okwuosa et al is useful and encouraging, but too many gaps exist in our heart failure therapies to permit us to celebrate with exuberance. Too many patients still suffer, too many die too young, and the costs are still too great.

Perhaps the future of therapeutic development should embrace different and better ways to demonstrate real value (relying on the equation of value equals outcomes meaningful to patients, divided by cost) of therapies, including the old, the new, the trashed and the underdeveloped. More creative data analysis to reexamine the current tools on the shelf and the ones tried but discarded is essential.

A position paper from the Cardiovascular Round Table of the European Society of Cardiology concluded that “a coordinated effort involving academia, regulators, industry and payors will help to foster better and more effective conduct of clinical cardiovascular trials, supporting earlier availability of innovative therapies and better management of cardiovascular diseases.”7

Lauer and D’Agostino,8 also in an editorial, argued for innovative methods of doing clinical trials and discovering truth about therapies that are applicable to the future of developing treatments for heart failure with reduced ejection fraction. They noted that “the randomized registry trial represents a disruptive technology” and wondered if it will be “given serious consideration as a way to resolve the recognized limitations of current clinical-trial design.”8

Indeed, conducting megatrials with existing megadatabases using a registry format could help. Registries emerging from early adaptive trial design efforts, particularly when Bayesian analysis theory is applied, might help inform clinical experience faster and more efficiently. Bayesian analysis is a statistical approach that attempts to estimate parameters of an underlying distribution of events in an ongoing fashion based on the observed distribution. A clinical trial of stem cell therapies could, at the end of the trial, be turned into a multicenter registry that would continue to inform us about the more real-world application of newer treatment approaches.

Though the therapeutic cupboard for heart failure is certainly not bare, as Okwuosa et al point out, it is wanting. Let’s look for new therapeutic ABCs differently. We should be attacking the real challenge—curing the disease processes that cause the syndrome. Yes, there are miles to go before we sleep.

References
  1. Frost R. Stopping by Woods on a Snowy Evening. In: New Hampshire. New York, Henry Holt, 1923.
  2. Okwuoso IS, Ojeifo O, Nwabueze C, et al. The ABCs of managing systolic heart failure: the past, present and future. Cleve Clin J Med 2016; 83:753–765.
  3. Samman Tahhan A, Vaduganathan M, Kelkar A, et al. Trends in heart failure clinical trials from 2001–2012. J Card Fail 2016; 22:171–179.
  4. Cohn JN. Trials and tribulations. J Card Fail 2016; 22:180–181.
  5. Chavalarias D, Wallach JD, Li AH, Ioannidis JP. Evolution of reporting P values in the biomedical literature, 1990–2015. JAMA 2016; 315:1141–1148.
  6. Kyriacou DN. The enduring evolution of the P value. JAMA 2016; 315:1113–1115.
  7. Jackson N, Atar D, Borentain M, et al. Improving clinical trials for cardiovascular diseases: a position paper from the Cardiovascular Round Table of the European Society of Cardiology. Eur Heart J 2016; 37:747–754.
  8. Lauer MS, D’Agostino RB Sr. The randomized registry trial—the next disruptive technology in clinical research? N Engl J Med 2013; 369:1579–1581.
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Address: James B. Young, MD, Cleveland Clinic, Education Institute, NA21, 9500 Euclid Avenue, Cleveland, OH 44195; [email protected]

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Address: James B. Young, MD, Cleveland Clinic, Education Institute, NA21, 9500 Euclid Avenue, Cleveland, OH 44195; [email protected]

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Related Articles

The woods are lovely, dark and deep,
But I have promises to keep,
And miles to go before I sleep,
And miles to go before I sleep.

—Robert Frost, “Stopping by Woods on a Snowy Evening”1

Frost's words are simple yet elegant. They can be interpreted many ways. I see the allegory of life as a journey in this poem. The passage, like the woods, is beautiful, but there is a long, long way to go.

See related article

And so it is with the treatment of heart failure. There is beauty in our understanding of the syndrome’s physiologic complexities and natural history, and of effective treatments uncovered. Still, we’ve a monstrous climb ahead to get to the summit of this clinical challenge in order to start a real descent.

THE PAST, PRESENT, AND FUTURE OF HEART FAILURE THERAPY

Okwuosa et al,2 in this issue of the Journal, have capably summarized the ABCs of treating heart failure with reduced ejection fraction (also called systolic heart failure), approaching the subject from a perspective on past, present, and future therapies. They summarize heart failure interventions with a guideline-based philosophy, pointing out that these care paths are supposed to be evidence-based. They observe that in the 1960s the standard of care was digitalis, diuretics (furosemide first became available in 1967), and rest. That was about all we had for this problem.

There are now many drugs, devices, and operations that help patients with heart failure. But they never really cure the disease or, more aptly, the syndrome—and therapies are supposed to cure. This limitation of present therapies is important, given the disturbing epidemiology of heart failure, its economic cost, and the suffering of patients. That burden is well detailed.

In addition to curing, the overarching goals of treatment generally are to ameliorate distressing symptoms and to prevent comorbidities. In heart failure with reduced ejection fraction, we want to prevent premature death, stroke, myocardial infarction, congestive states, hospitalization, renal insufficiency, renal failure, cachexia, inanition, feebleness, and respiratory distress, among others.

The ABC mnemonic of Okwuosa et al will help caregivers remember the basics. It is important, however, to put algorithms into proper perspective and to look toward the future.

PROBLEMS WITH EVIDENCE-BASED MEDICINE

Several problems with our current heart failure treatments are rooted in how we perform clinical trials, arguably the premier method of determining truth in clinical practice and the foundation of evidence-based medicine.3,4

Do the trials represent real-world practice?

Were the clinical trials that led to regulatory approval and professional society endorsement of the therapies that we prescribe in our offices done in the same sorts of patients as those in our waiting rooms asking for help? Perhaps, for the most part, they have been. And thus, Okwuosa et al have crafted a work relevant to all of us and every patient.

But I believe there are major gaps in the types of participants enrolled in trials, eg, underrepresentation of certain racial and ethnic groups, not to mention the relative paucity of women. The very elderly (a rapidly growing population) have largely been ignored as well, and participants with significant renal insufficiency, anemia, and diabetes mellitus seem far fewer than what we deal with in a busy clinic.

In addition, Okwuosa et al focus only on patients with reduced left ventricular ejection fraction, a group that makes up only about half of the heart failure crowd.

What about quality of life and other important outcomes?

Clinical trials in heart failure with reduced ejection fraction have generally focused on major clinical end points (primarily, but not exclusively, mortality), to the exclusion of quality of life. Though sometimes included in trials, quality-of-life metrics generally get relegated to second-class seats or ‘tween-deck steerage. Perhaps that is because measuring quality of life can be time-consuming and difficult.

Yet, in the words of sociologist William Bruce Cameron, not everything that counts can be counted, and not everything that can be counted counts. That goes for quality of life.

Lies, damned lies, and P values

Quandaries in data management and analysis include what to do about trial dropouts, study power, precision of statistical analysis, intention-to-treat principles, and choice of the P value that defines significance (or not) for any end point observation. Of course, there are myriad sophisticated mathematical and statistical reasons to justify why we don’t simply count on-treatment participants or allow imputation of results when patients or results drop out, forcing us to worship at the altar of P < .05.

A review of the P value concept5 recently appeared with an accompanying editorial by Kyriacou6 that concluded that “the automatic application of dichotomized hypothesis testing based on prearranged levels of statistical significance should be substituted with a more complex process using effect estimates, confidence intervals, and even P values, thereby permitting scientists, statisticians, and clinicians to use their own inferential capabilities to assign scientific significance.”6

How many great treatments have we tossed out because of rigid reliance on old-fashioned approaches to determining therapeutic evidence? Many treatments studied have had great results in a minority of patients in clinical trials but did not have a major positive (or negative) impact on the overall cohort (with lack of primary end point statistical significance). And what to do when the primary end point is a neutral or negative one but secondary end points are positive? Why not focus more attention on those patients benefiting from an intervention despite the overall results of any trial?

Dilemmas of trials

Other issues are that clinical trials cost too much, and that recruitment and follow-up take too long. Intercurrent therapies (and guidelines) can emerge that jeopardize the trial itself or make observations untimely. The dilemma of stacking therapies one on top of another, often making patient compliance impossible, is another problem with clinical trials. Yet this is how we get to the ABCs.

A NEW WAY TO DO TRIALS

The information provided by Okwuosa et al is useful and encouraging, but too many gaps exist in our heart failure therapies to permit us to celebrate with exuberance. Too many patients still suffer, too many die too young, and the costs are still too great.

Perhaps the future of therapeutic development should embrace different and better ways to demonstrate real value (relying on the equation of value equals outcomes meaningful to patients, divided by cost) of therapies, including the old, the new, the trashed and the underdeveloped. More creative data analysis to reexamine the current tools on the shelf and the ones tried but discarded is essential.

A position paper from the Cardiovascular Round Table of the European Society of Cardiology concluded that “a coordinated effort involving academia, regulators, industry and payors will help to foster better and more effective conduct of clinical cardiovascular trials, supporting earlier availability of innovative therapies and better management of cardiovascular diseases.”7

Lauer and D’Agostino,8 also in an editorial, argued for innovative methods of doing clinical trials and discovering truth about therapies that are applicable to the future of developing treatments for heart failure with reduced ejection fraction. They noted that “the randomized registry trial represents a disruptive technology” and wondered if it will be “given serious consideration as a way to resolve the recognized limitations of current clinical-trial design.”8

Indeed, conducting megatrials with existing megadatabases using a registry format could help. Registries emerging from early adaptive trial design efforts, particularly when Bayesian analysis theory is applied, might help inform clinical experience faster and more efficiently. Bayesian analysis is a statistical approach that attempts to estimate parameters of an underlying distribution of events in an ongoing fashion based on the observed distribution. A clinical trial of stem cell therapies could, at the end of the trial, be turned into a multicenter registry that would continue to inform us about the more real-world application of newer treatment approaches.

Though the therapeutic cupboard for heart failure is certainly not bare, as Okwuosa et al point out, it is wanting. Let’s look for new therapeutic ABCs differently. We should be attacking the real challenge—curing the disease processes that cause the syndrome. Yes, there are miles to go before we sleep.

The woods are lovely, dark and deep,
But I have promises to keep,
And miles to go before I sleep,
And miles to go before I sleep.

—Robert Frost, “Stopping by Woods on a Snowy Evening”1

Frost's words are simple yet elegant. They can be interpreted many ways. I see the allegory of life as a journey in this poem. The passage, like the woods, is beautiful, but there is a long, long way to go.

See related article

And so it is with the treatment of heart failure. There is beauty in our understanding of the syndrome’s physiologic complexities and natural history, and of effective treatments uncovered. Still, we’ve a monstrous climb ahead to get to the summit of this clinical challenge in order to start a real descent.

THE PAST, PRESENT, AND FUTURE OF HEART FAILURE THERAPY

Okwuosa et al,2 in this issue of the Journal, have capably summarized the ABCs of treating heart failure with reduced ejection fraction (also called systolic heart failure), approaching the subject from a perspective on past, present, and future therapies. They summarize heart failure interventions with a guideline-based philosophy, pointing out that these care paths are supposed to be evidence-based. They observe that in the 1960s the standard of care was digitalis, diuretics (furosemide first became available in 1967), and rest. That was about all we had for this problem.

There are now many drugs, devices, and operations that help patients with heart failure. But they never really cure the disease or, more aptly, the syndrome—and therapies are supposed to cure. This limitation of present therapies is important, given the disturbing epidemiology of heart failure, its economic cost, and the suffering of patients. That burden is well detailed.

In addition to curing, the overarching goals of treatment generally are to ameliorate distressing symptoms and to prevent comorbidities. In heart failure with reduced ejection fraction, we want to prevent premature death, stroke, myocardial infarction, congestive states, hospitalization, renal insufficiency, renal failure, cachexia, inanition, feebleness, and respiratory distress, among others.

The ABC mnemonic of Okwuosa et al will help caregivers remember the basics. It is important, however, to put algorithms into proper perspective and to look toward the future.

PROBLEMS WITH EVIDENCE-BASED MEDICINE

Several problems with our current heart failure treatments are rooted in how we perform clinical trials, arguably the premier method of determining truth in clinical practice and the foundation of evidence-based medicine.3,4

Do the trials represent real-world practice?

Were the clinical trials that led to regulatory approval and professional society endorsement of the therapies that we prescribe in our offices done in the same sorts of patients as those in our waiting rooms asking for help? Perhaps, for the most part, they have been. And thus, Okwuosa et al have crafted a work relevant to all of us and every patient.

But I believe there are major gaps in the types of participants enrolled in trials, eg, underrepresentation of certain racial and ethnic groups, not to mention the relative paucity of women. The very elderly (a rapidly growing population) have largely been ignored as well, and participants with significant renal insufficiency, anemia, and diabetes mellitus seem far fewer than what we deal with in a busy clinic.

In addition, Okwuosa et al focus only on patients with reduced left ventricular ejection fraction, a group that makes up only about half of the heart failure crowd.

What about quality of life and other important outcomes?

Clinical trials in heart failure with reduced ejection fraction have generally focused on major clinical end points (primarily, but not exclusively, mortality), to the exclusion of quality of life. Though sometimes included in trials, quality-of-life metrics generally get relegated to second-class seats or ‘tween-deck steerage. Perhaps that is because measuring quality of life can be time-consuming and difficult.

Yet, in the words of sociologist William Bruce Cameron, not everything that counts can be counted, and not everything that can be counted counts. That goes for quality of life.

Lies, damned lies, and P values

Quandaries in data management and analysis include what to do about trial dropouts, study power, precision of statistical analysis, intention-to-treat principles, and choice of the P value that defines significance (or not) for any end point observation. Of course, there are myriad sophisticated mathematical and statistical reasons to justify why we don’t simply count on-treatment participants or allow imputation of results when patients or results drop out, forcing us to worship at the altar of P < .05.

A review of the P value concept5 recently appeared with an accompanying editorial by Kyriacou6 that concluded that “the automatic application of dichotomized hypothesis testing based on prearranged levels of statistical significance should be substituted with a more complex process using effect estimates, confidence intervals, and even P values, thereby permitting scientists, statisticians, and clinicians to use their own inferential capabilities to assign scientific significance.”6

How many great treatments have we tossed out because of rigid reliance on old-fashioned approaches to determining therapeutic evidence? Many treatments studied have had great results in a minority of patients in clinical trials but did not have a major positive (or negative) impact on the overall cohort (with lack of primary end point statistical significance). And what to do when the primary end point is a neutral or negative one but secondary end points are positive? Why not focus more attention on those patients benefiting from an intervention despite the overall results of any trial?

Dilemmas of trials

Other issues are that clinical trials cost too much, and that recruitment and follow-up take too long. Intercurrent therapies (and guidelines) can emerge that jeopardize the trial itself or make observations untimely. The dilemma of stacking therapies one on top of another, often making patient compliance impossible, is another problem with clinical trials. Yet this is how we get to the ABCs.

A NEW WAY TO DO TRIALS

The information provided by Okwuosa et al is useful and encouraging, but too many gaps exist in our heart failure therapies to permit us to celebrate with exuberance. Too many patients still suffer, too many die too young, and the costs are still too great.

Perhaps the future of therapeutic development should embrace different and better ways to demonstrate real value (relying on the equation of value equals outcomes meaningful to patients, divided by cost) of therapies, including the old, the new, the trashed and the underdeveloped. More creative data analysis to reexamine the current tools on the shelf and the ones tried but discarded is essential.

A position paper from the Cardiovascular Round Table of the European Society of Cardiology concluded that “a coordinated effort involving academia, regulators, industry and payors will help to foster better and more effective conduct of clinical cardiovascular trials, supporting earlier availability of innovative therapies and better management of cardiovascular diseases.”7

Lauer and D’Agostino,8 also in an editorial, argued for innovative methods of doing clinical trials and discovering truth about therapies that are applicable to the future of developing treatments for heart failure with reduced ejection fraction. They noted that “the randomized registry trial represents a disruptive technology” and wondered if it will be “given serious consideration as a way to resolve the recognized limitations of current clinical-trial design.”8

Indeed, conducting megatrials with existing megadatabases using a registry format could help. Registries emerging from early adaptive trial design efforts, particularly when Bayesian analysis theory is applied, might help inform clinical experience faster and more efficiently. Bayesian analysis is a statistical approach that attempts to estimate parameters of an underlying distribution of events in an ongoing fashion based on the observed distribution. A clinical trial of stem cell therapies could, at the end of the trial, be turned into a multicenter registry that would continue to inform us about the more real-world application of newer treatment approaches.

Though the therapeutic cupboard for heart failure is certainly not bare, as Okwuosa et al point out, it is wanting. Let’s look for new therapeutic ABCs differently. We should be attacking the real challenge—curing the disease processes that cause the syndrome. Yes, there are miles to go before we sleep.

References
  1. Frost R. Stopping by Woods on a Snowy Evening. In: New Hampshire. New York, Henry Holt, 1923.
  2. Okwuoso IS, Ojeifo O, Nwabueze C, et al. The ABCs of managing systolic heart failure: the past, present and future. Cleve Clin J Med 2016; 83:753–765.
  3. Samman Tahhan A, Vaduganathan M, Kelkar A, et al. Trends in heart failure clinical trials from 2001–2012. J Card Fail 2016; 22:171–179.
  4. Cohn JN. Trials and tribulations. J Card Fail 2016; 22:180–181.
  5. Chavalarias D, Wallach JD, Li AH, Ioannidis JP. Evolution of reporting P values in the biomedical literature, 1990–2015. JAMA 2016; 315:1141–1148.
  6. Kyriacou DN. The enduring evolution of the P value. JAMA 2016; 315:1113–1115.
  7. Jackson N, Atar D, Borentain M, et al. Improving clinical trials for cardiovascular diseases: a position paper from the Cardiovascular Round Table of the European Society of Cardiology. Eur Heart J 2016; 37:747–754.
  8. Lauer MS, D’Agostino RB Sr. The randomized registry trial—the next disruptive technology in clinical research? N Engl J Med 2013; 369:1579–1581.
References
  1. Frost R. Stopping by Woods on a Snowy Evening. In: New Hampshire. New York, Henry Holt, 1923.
  2. Okwuoso IS, Ojeifo O, Nwabueze C, et al. The ABCs of managing systolic heart failure: the past, present and future. Cleve Clin J Med 2016; 83:753–765.
  3. Samman Tahhan A, Vaduganathan M, Kelkar A, et al. Trends in heart failure clinical trials from 2001–2012. J Card Fail 2016; 22:171–179.
  4. Cohn JN. Trials and tribulations. J Card Fail 2016; 22:180–181.
  5. Chavalarias D, Wallach JD, Li AH, Ioannidis JP. Evolution of reporting P values in the biomedical literature, 1990–2015. JAMA 2016; 315:1141–1148.
  6. Kyriacou DN. The enduring evolution of the P value. JAMA 2016; 315:1113–1115.
  7. Jackson N, Atar D, Borentain M, et al. Improving clinical trials for cardiovascular diseases: a position paper from the Cardiovascular Round Table of the European Society of Cardiology. Eur Heart J 2016; 37:747–754.
  8. Lauer MS, D’Agostino RB Sr. The randomized registry trial—the next disruptive technology in clinical research? N Engl J Med 2013; 369:1579–1581.
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Resident SBML for Thoracentesis

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Can lessons from systems‐based mastery learning for thoracentesis be translated to hospitalists?

There has been a nationwide shift away from general internists performing bedside thoracenteses and toward referring them to pulmonology and interventional radiology services.[1] Aligning with this trend, the American Board of Internal Medicine now only requires that internal medicine (IM)trained physicians understand the indications, complications, and management of bedside procedures.[2]

However, thoracentesis is still considered a core competency of practicing hospitalists, the fastest growing field within general IM.[3] Furthermore, evidence suggests that thoracenteses done by general internists have high patient satisfaction, reduce hospital length of stay, are more cost‐effective, and are as safe as those done by consultants.[4, 5, 6] It is thus important to understand the reasons for referrals to specialty services and to investigate potential interventions that increase performance of procedures by internists.

In this issue of the Journal of Hospital Medicine, Barsuk and colleagues present a prospective, single‐center study assessing the impact of simulation‐based mastery learning (SBML) on thoracentesis among a randomly selected group of IM residents.[7] They studied how their program influenced simulated skills, procedural self‐confidence, frequency of real‐world performance, and rate and reasons for referral to consultants. The authors compared the latter outcomes to traditionally trained residents and hospitalists, finding that SBML improved skills, self‐confidence, and the relative frequency of general internistperformed procedures. Low confidence and limited time were the primary reasons for referral.

To our knowledge, this is the first study to show that SBML can lead to a clinically and statistically significant change in thoracentesis referral patterns, which may have important implications for hospitalists. Given the inconsistent amount and quality of procedural training across IM residency programs, hospitalists may be increasingly ill prepared to perform thoracentesis and train future generations in its best practices.[2, 8, 9] This study demonstrates that SBML can provide trainees with essential hands‐on skills development and experience that is often missing from traditional training models.

Yet, although SBML seems to affect resident referral patterns, its potential impact on practicing hospitalists is less clear. Hospitalists provide the majority of care for general medicine inpatients around the country, and in this study had a dramatically lower rate of bedside procedure performance than even traditionally trained residents (0.7% vs 14.2$), which makes them vital to any strategy to increase bedside thoracentesis rates.[9] Yet the results by Barsuk et al. suggest that the effect size of SBML on hospitalists may be much smaller than on trainees. First, the primary driver of resident practice change appeared to be increased confidence, but baseline hospitalist confidence was significantly greater than that of traditionally trained residents. Second, it is unclear what, if any, effect SBML would have on the time needed to perform a thoracentesis, which was a major factor for hospitalists referring to consult services. Lastly, given the known decrement in procedural skills over time, the durability and associated costs of longitudinal SBML training are unknown.[10, 11, 12]

The fact that general internistperformed thoracenteses are as safe and more cost‐effective than those performed by consultants is a compelling argument to shift procedures back to the bedside. However, these cost analyses do not account for the opportunity cost for hospitalists, either in lost time spent caring for additional patients or in longer shift lengths. It is important to understand whether and how it can be feasible for general internists to perform more bedside thoracenteses so physician training and resource utilization can be optimized. Whereas confidence and time are likely limiting factors for all general internists, this study suggests that their relative importance may markedly differ between residents and hospitalists, and it is unclear how much the change in confidence resulting from SBML would affect the rates of thoracentesis by generalists beyond practice settings involving trainees. The feasibility, cost, and efficacy of SBML deserve more study in multiple clinical environments to understand its true impact. Ultimately, we suspect that only an intervention addressing procedural time demands will lead to meaningful, sustained increases in general internistperformed thoracenteses.

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References
  1. Wigton RS, Alguire P. The declining number and variety of procedures done by general internists: a resurvey of members of the American College of Physicians. Ann Intern Med. 2007;146(5):355360.
  2. American Board of Internal Medicine. Internal medicine policies. Available at: http://www.abim.org/certification/policies/internal‐medicine‐subspecialty‐policies/internal‐medicine.aspx. Accessed July 18, 2016.
  3. Society of Hospital Medicine. SHM core competencies. Available at: http://www.hospitalmedicine.org/Web/Education/Core_Competencies/Web/Education/Core_Competencies.aspx. Accessed July 18, 2016.
  4. Mourad M, Auerbach AD, Maselli J, Sliwka D. Patient satisfaction with a hospitalist procedure service: is bedside procedure teaching reassuring to patients? J Hosp Med. 2011;6(4):219224.
  5. Kozmic SE, Wayne DB, Feinglass J, Hohmann SF, Barsuk JH. Factors associated with inpatient thoracentesis procedure quality at university hospitals. Jt Comm J Qual Patient Saf. 2016;42(1):3440.
  6. Ault MJ, Rosen BT, Scher J, Feinglass J, Barsuk JH. Thoracentesis outcomes: a 12‐year experience. Thorax. 2015;70(2):127132.
  7. Barsuk JH, Cohen ER, Williams MV, et al. The effect of simulation‐based mastery learning on thoracentesis referral patterns. J Hosp Med. 2016;11(11):792795.
  8. Padgaonkar A. What we know about hospitalists. Innovative Thinking website. Available at: http://innovativesolutions.org/innovative‐thinking/what‐we‐know‐about‐hospitalists. Accessed July 18, 2016.
  9. Wigton RS, Blank LL, Nicolas JA, Tape TG. Procedural skills training in internal medicine residencies. A survey of program directors. Ann intern Med. 1989;111(11):932938.
  10. Huang GC, Smith CC, Gordon CE, et al. Beyond the comfort zone: residents assess their comfort performing inpatient medical procedures. Am J Med. 2006;119(1):71:e17e24.
  11. Ericsson KA. Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Acad Med. 2004;79(10 suppl):S70S81
  12. Smith CC, Huang GC, Newman LR, et al. Simulation training and its effect on long‐term resident performance in central venous catheterization. Simul Healthc. 2010;5(3):146151.
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There has been a nationwide shift away from general internists performing bedside thoracenteses and toward referring them to pulmonology and interventional radiology services.[1] Aligning with this trend, the American Board of Internal Medicine now only requires that internal medicine (IM)trained physicians understand the indications, complications, and management of bedside procedures.[2]

However, thoracentesis is still considered a core competency of practicing hospitalists, the fastest growing field within general IM.[3] Furthermore, evidence suggests that thoracenteses done by general internists have high patient satisfaction, reduce hospital length of stay, are more cost‐effective, and are as safe as those done by consultants.[4, 5, 6] It is thus important to understand the reasons for referrals to specialty services and to investigate potential interventions that increase performance of procedures by internists.

In this issue of the Journal of Hospital Medicine, Barsuk and colleagues present a prospective, single‐center study assessing the impact of simulation‐based mastery learning (SBML) on thoracentesis among a randomly selected group of IM residents.[7] They studied how their program influenced simulated skills, procedural self‐confidence, frequency of real‐world performance, and rate and reasons for referral to consultants. The authors compared the latter outcomes to traditionally trained residents and hospitalists, finding that SBML improved skills, self‐confidence, and the relative frequency of general internistperformed procedures. Low confidence and limited time were the primary reasons for referral.

To our knowledge, this is the first study to show that SBML can lead to a clinically and statistically significant change in thoracentesis referral patterns, which may have important implications for hospitalists. Given the inconsistent amount and quality of procedural training across IM residency programs, hospitalists may be increasingly ill prepared to perform thoracentesis and train future generations in its best practices.[2, 8, 9] This study demonstrates that SBML can provide trainees with essential hands‐on skills development and experience that is often missing from traditional training models.

Yet, although SBML seems to affect resident referral patterns, its potential impact on practicing hospitalists is less clear. Hospitalists provide the majority of care for general medicine inpatients around the country, and in this study had a dramatically lower rate of bedside procedure performance than even traditionally trained residents (0.7% vs 14.2$), which makes them vital to any strategy to increase bedside thoracentesis rates.[9] Yet the results by Barsuk et al. suggest that the effect size of SBML on hospitalists may be much smaller than on trainees. First, the primary driver of resident practice change appeared to be increased confidence, but baseline hospitalist confidence was significantly greater than that of traditionally trained residents. Second, it is unclear what, if any, effect SBML would have on the time needed to perform a thoracentesis, which was a major factor for hospitalists referring to consult services. Lastly, given the known decrement in procedural skills over time, the durability and associated costs of longitudinal SBML training are unknown.[10, 11, 12]

The fact that general internistperformed thoracenteses are as safe and more cost‐effective than those performed by consultants is a compelling argument to shift procedures back to the bedside. However, these cost analyses do not account for the opportunity cost for hospitalists, either in lost time spent caring for additional patients or in longer shift lengths. It is important to understand whether and how it can be feasible for general internists to perform more bedside thoracenteses so physician training and resource utilization can be optimized. Whereas confidence and time are likely limiting factors for all general internists, this study suggests that their relative importance may markedly differ between residents and hospitalists, and it is unclear how much the change in confidence resulting from SBML would affect the rates of thoracentesis by generalists beyond practice settings involving trainees. The feasibility, cost, and efficacy of SBML deserve more study in multiple clinical environments to understand its true impact. Ultimately, we suspect that only an intervention addressing procedural time demands will lead to meaningful, sustained increases in general internistperformed thoracenteses.

There has been a nationwide shift away from general internists performing bedside thoracenteses and toward referring them to pulmonology and interventional radiology services.[1] Aligning with this trend, the American Board of Internal Medicine now only requires that internal medicine (IM)trained physicians understand the indications, complications, and management of bedside procedures.[2]

However, thoracentesis is still considered a core competency of practicing hospitalists, the fastest growing field within general IM.[3] Furthermore, evidence suggests that thoracenteses done by general internists have high patient satisfaction, reduce hospital length of stay, are more cost‐effective, and are as safe as those done by consultants.[4, 5, 6] It is thus important to understand the reasons for referrals to specialty services and to investigate potential interventions that increase performance of procedures by internists.

In this issue of the Journal of Hospital Medicine, Barsuk and colleagues present a prospective, single‐center study assessing the impact of simulation‐based mastery learning (SBML) on thoracentesis among a randomly selected group of IM residents.[7] They studied how their program influenced simulated skills, procedural self‐confidence, frequency of real‐world performance, and rate and reasons for referral to consultants. The authors compared the latter outcomes to traditionally trained residents and hospitalists, finding that SBML improved skills, self‐confidence, and the relative frequency of general internistperformed procedures. Low confidence and limited time were the primary reasons for referral.

To our knowledge, this is the first study to show that SBML can lead to a clinically and statistically significant change in thoracentesis referral patterns, which may have important implications for hospitalists. Given the inconsistent amount and quality of procedural training across IM residency programs, hospitalists may be increasingly ill prepared to perform thoracentesis and train future generations in its best practices.[2, 8, 9] This study demonstrates that SBML can provide trainees with essential hands‐on skills development and experience that is often missing from traditional training models.

Yet, although SBML seems to affect resident referral patterns, its potential impact on practicing hospitalists is less clear. Hospitalists provide the majority of care for general medicine inpatients around the country, and in this study had a dramatically lower rate of bedside procedure performance than even traditionally trained residents (0.7% vs 14.2$), which makes them vital to any strategy to increase bedside thoracentesis rates.[9] Yet the results by Barsuk et al. suggest that the effect size of SBML on hospitalists may be much smaller than on trainees. First, the primary driver of resident practice change appeared to be increased confidence, but baseline hospitalist confidence was significantly greater than that of traditionally trained residents. Second, it is unclear what, if any, effect SBML would have on the time needed to perform a thoracentesis, which was a major factor for hospitalists referring to consult services. Lastly, given the known decrement in procedural skills over time, the durability and associated costs of longitudinal SBML training are unknown.[10, 11, 12]

The fact that general internistperformed thoracenteses are as safe and more cost‐effective than those performed by consultants is a compelling argument to shift procedures back to the bedside. However, these cost analyses do not account for the opportunity cost for hospitalists, either in lost time spent caring for additional patients or in longer shift lengths. It is important to understand whether and how it can be feasible for general internists to perform more bedside thoracenteses so physician training and resource utilization can be optimized. Whereas confidence and time are likely limiting factors for all general internists, this study suggests that their relative importance may markedly differ between residents and hospitalists, and it is unclear how much the change in confidence resulting from SBML would affect the rates of thoracentesis by generalists beyond practice settings involving trainees. The feasibility, cost, and efficacy of SBML deserve more study in multiple clinical environments to understand its true impact. Ultimately, we suspect that only an intervention addressing procedural time demands will lead to meaningful, sustained increases in general internistperformed thoracenteses.

References
  1. Wigton RS, Alguire P. The declining number and variety of procedures done by general internists: a resurvey of members of the American College of Physicians. Ann Intern Med. 2007;146(5):355360.
  2. American Board of Internal Medicine. Internal medicine policies. Available at: http://www.abim.org/certification/policies/internal‐medicine‐subspecialty‐policies/internal‐medicine.aspx. Accessed July 18, 2016.
  3. Society of Hospital Medicine. SHM core competencies. Available at: http://www.hospitalmedicine.org/Web/Education/Core_Competencies/Web/Education/Core_Competencies.aspx. Accessed July 18, 2016.
  4. Mourad M, Auerbach AD, Maselli J, Sliwka D. Patient satisfaction with a hospitalist procedure service: is bedside procedure teaching reassuring to patients? J Hosp Med. 2011;6(4):219224.
  5. Kozmic SE, Wayne DB, Feinglass J, Hohmann SF, Barsuk JH. Factors associated with inpatient thoracentesis procedure quality at university hospitals. Jt Comm J Qual Patient Saf. 2016;42(1):3440.
  6. Ault MJ, Rosen BT, Scher J, Feinglass J, Barsuk JH. Thoracentesis outcomes: a 12‐year experience. Thorax. 2015;70(2):127132.
  7. Barsuk JH, Cohen ER, Williams MV, et al. The effect of simulation‐based mastery learning on thoracentesis referral patterns. J Hosp Med. 2016;11(11):792795.
  8. Padgaonkar A. What we know about hospitalists. Innovative Thinking website. Available at: http://innovativesolutions.org/innovative‐thinking/what‐we‐know‐about‐hospitalists. Accessed July 18, 2016.
  9. Wigton RS, Blank LL, Nicolas JA, Tape TG. Procedural skills training in internal medicine residencies. A survey of program directors. Ann intern Med. 1989;111(11):932938.
  10. Huang GC, Smith CC, Gordon CE, et al. Beyond the comfort zone: residents assess their comfort performing inpatient medical procedures. Am J Med. 2006;119(1):71:e17e24.
  11. Ericsson KA. Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Acad Med. 2004;79(10 suppl):S70S81
  12. Smith CC, Huang GC, Newman LR, et al. Simulation training and its effect on long‐term resident performance in central venous catheterization. Simul Healthc. 2010;5(3):146151.
References
  1. Wigton RS, Alguire P. The declining number and variety of procedures done by general internists: a resurvey of members of the American College of Physicians. Ann Intern Med. 2007;146(5):355360.
  2. American Board of Internal Medicine. Internal medicine policies. Available at: http://www.abim.org/certification/policies/internal‐medicine‐subspecialty‐policies/internal‐medicine.aspx. Accessed July 18, 2016.
  3. Society of Hospital Medicine. SHM core competencies. Available at: http://www.hospitalmedicine.org/Web/Education/Core_Competencies/Web/Education/Core_Competencies.aspx. Accessed July 18, 2016.
  4. Mourad M, Auerbach AD, Maselli J, Sliwka D. Patient satisfaction with a hospitalist procedure service: is bedside procedure teaching reassuring to patients? J Hosp Med. 2011;6(4):219224.
  5. Kozmic SE, Wayne DB, Feinglass J, Hohmann SF, Barsuk JH. Factors associated with inpatient thoracentesis procedure quality at university hospitals. Jt Comm J Qual Patient Saf. 2016;42(1):3440.
  6. Ault MJ, Rosen BT, Scher J, Feinglass J, Barsuk JH. Thoracentesis outcomes: a 12‐year experience. Thorax. 2015;70(2):127132.
  7. Barsuk JH, Cohen ER, Williams MV, et al. The effect of simulation‐based mastery learning on thoracentesis referral patterns. J Hosp Med. 2016;11(11):792795.
  8. Padgaonkar A. What we know about hospitalists. Innovative Thinking website. Available at: http://innovativesolutions.org/innovative‐thinking/what‐we‐know‐about‐hospitalists. Accessed July 18, 2016.
  9. Wigton RS, Blank LL, Nicolas JA, Tape TG. Procedural skills training in internal medicine residencies. A survey of program directors. Ann intern Med. 1989;111(11):932938.
  10. Huang GC, Smith CC, Gordon CE, et al. Beyond the comfort zone: residents assess their comfort performing inpatient medical procedures. Am J Med. 2006;119(1):71:e17e24.
  11. Ericsson KA. Deliberate practice and the acquisition and maintenance of expert performance in medicine and related domains. Acad Med. 2004;79(10 suppl):S70S81
  12. Smith CC, Huang GC, Newman LR, et al. Simulation training and its effect on long‐term resident performance in central venous catheterization. Simul Healthc. 2010;5(3):146151.
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Address for correspondence and reprint requests: Trevor Jensen, MD, University of California San Francisco School of Medicine, 533 Parnassus Avenue, U127 San Francisco, CA 94143; Telephone: 415‐476‐7479; Fax: 415‐476‐4818; E‐mail: [email protected]
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Challenge of Personality Disorders

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The formidable cluster: The challenge of personality disorders among hospitalized patients

All practicing hospitalists encounter challenging patient situations that stem from issues beyond medical illness. Those situations include the patient who demands to talk with the doctor repeatedly disregarding the lack of urgency, or the patient who, despite seeing multiple well‐regarded specialists, attempts to split the healthcare team by generating unwarranted praise or criticism toward individual caregivers.

Although these patients may be labeled difficult, hateful, or simply a unique patient‐management opportunity, effective care requires a more nuanced understanding of a possible underlying personality disorder that adversely affects the patientphysician relationship. In this issue of the Journal of Hospital Medicine, Riddle et al. provide an important review that outlines a framework for identifying the likely presence of a personality disorder along with practical advice for how to manage these patients.[1] As the authors point out, personality disorders are relatively common among patients seeking medical care but are challenging to diagnose, particularly in the setting of superimposed medical illness. Common to all personality disorders are difficulties forming and maintaining positive relationships with others such that care providers find themselves feeling frustrated, fearful, or inadequate. Inpatient providers typically receive very little training in how to care for patients with personality disorders.

The approach of avoiding collaborative teaching rounds, driven perhaps by a need for time efficiency, deprives learners of the chance to reflect on effective interactions with these patients.

Personality disorders result from genetic predisposition, complex brain dysfunction, and environmental influences. Social determinants also play a role, although limited social networks may simultaneously be a result of a personality disorder and a contributing factor.[2] Although there is a temptation to view personality disorders separate from medical conditions such as diabetes mellitus, diagnosing a personality disorder is far more complicated than simply checking a glycosylated hemoglobin. As Riddle et al. suggest, making a specific diagnosis from the list of 10 personality disorders is challenging in the hospital setting, even for experienced psychiatrists. Given the danger of propagating a diagnosis unabated and unquestioned through the electronic medical record, the attending hospitalist should be reluctant to include a diagnosis such as borderline personality disorder or histrionic personality disorder in the patient problem list without input from experts. Instead, it is useful to document the specific behaviors that are impacting patient care during this episode of illness.

We are concerned about the impact of personality disorders on a number of aspects of patient care, and these are areas that are potentially fertile ground for scholarship and research.

EFFECT ON THE PATIENT EXPERIENCE

Patients with personality disorders may have difficulty assessing the severity of their own medical illnesses. Educating patients on the meaning and value of recovery may be helpful in establishing appropriate expectations of care,[3] although it is equally important to assess the value of illness from the patient's perspective. As Riddle et al. point out, the goal for the hospitalist team is to mitigate the negative impact of adverse behavior on overall care. A recent pilot study of smartphone applications for use by patients with borderline personality disorder might have utility in the inpatient setting.[4] These types of innovations provide opportunities for hospitalist research in the care of patients with personality disorders.

EFFECT OF PERSONALITY DISORDERS ON TEAM‐BASED CLINICAL CARE

A recent observational study published in the Journal of Hospital Medicine identified several important attributes of a high‐functioning inpatient care team.[5] The findings reinforced the concept that patient care is a social activity. To provide high‐quality care, a high‐functioning partnership between team members is required. Riddle et al. point out that patients with personality traits and disorders can negatively impact the relationship among care team members. The hospitalist may be tempted to leave the nursing staff to handle the unwanted communication with the patient. This strategy is maladaptive and creates friction between the hospitalist and the nursing staff. In addition, it reduces an opportunity to recognize important real‐time changes in patients' clinical status that may adversely affect patient outcomes.

EFFECT ON DIAGNOSTIC REASONING

Clinical and diagnostic reasoning plays a central role in patient care. Hospitalists must identify key elements from empirical data and formulate their problem representation to assist in planning the next diagnostic and treatment plans. The medical literature regarding the effect of providing care to patients with maladaptive personality structures is limited. Recent literature investigating the effect of negative patient attributes on diagnostic reasoning suggests that caring for disruptive patients, such as those with maladaptive personality structures, adversely impacts the diagnostic reasoning process. In other words, we are more likely to make cognitive errors when faced with patients who foster a negative feeling. When given vignettes of the same diagnosis but prefaced with patient characteristics that would affect their likeability, trainees of both family practice and internal medicine made significantly fewer correct diagnoses in patients who were given negative connotation, such as overly demanding, a trait not uncommonly seen in patients with personality disorders/traits.[6] The diagnosis rate was more pronounced with complex cases. It is theorized that our cognitive reasoning and use of illness scripts can overcome maladaptive behavior when it comes to common presentations of common illness. However, more complex or atypical presentations require a higher level of diagnostic reasoning that may be impacted by patients who have maladaptive behaviors. The authors hypothesize a resource depletion of mental energy as a result of managing these patients.

EFFECT ON PHYSICIAN WELL‐BEING

Patients with personality disorders require increased time from healthcare providers. Burnout is a major issue for internists.[7] Any provider who has cared for patients with personality disorders can attest to the effects on emotional energy, although this effect deserves study. Without adequate coping strategies by care providers, we run the risk of depleting both our empathy and our mental resources, all of which can negatively affect patient experience and outcomes. The coping strategies that are described by Riddle et al. should be helpful in mitigating the anticipated challenges of caring for these patients and improve both our diagnostic reasoning and care‐provider resiliency.

There is still much to be learned about the long‐term effects of maladaptive personality structures on patient outcomes. We believe that is imperative to have the skills to recognize our patients with maladaptive personality traits and how the care of these patients poses challenges on the functioning of the interdisciplinary care team. Without the advanced training to make the challenging diagnosis of a personality disorder during an acute inpatient stay, it is recommended that hospitalists document the specific behaviors that are impacting patient care and the care team. It is our hope that effective coping strategies can lead to reduced risk of diagnostic errors and bolster the resiliency of the hospitalist.

Disclosure

Nothing to report.

References
  1. Riddle M, Meeks T, Alvarez C, Dubovsky A. When personality is the problem: managing patients with difficulty personalities on the acute care unit. J Hosp Med. 2016;11(12):873878.
  2. Lazarus SA, Cheavens JS. An examination of social network quality and composition in women with and without borderline personality disorder [published online June 27, 2016]. Personal Disord. doi:10.1037/per0000201.
  3. Huguelet P, Guillaume S, Vidal S, et al. Values as determinant of meaning among patients with psychiatric disorders in the perspective of recovery [published online June 8, 2016]. Sci Rep. doi:10.1038/srep27617.
  4. Prada P, Zamberg I, Bouillault G, et al. EMOTEO: a smartphone application for monitoring and reducing aversive tension in borderline personality disorder patients, a pilot study [published online July 21, 2016]. Perspect Psychiatr Care. doi:10.1111/ppc12178.
  5. McAllister C, Leykum LK, Lanham H, et al. Relationships within inpatient physician housestaff teams and their association with hospitalized patient outcomes. J Hosp Med. 2014;9(12):764771.
  6. Mamede S, Gog T, Schuit SC, et al. Why patients' disruptive behaviours impair diagnostic reasoning: a randomised experiment [published online March 7, 2016]. BMJ Qual Saf. doi:10.1136/bmjqs-2015-005065.
  7. Roberts DL, Shanafelt TD, Dyrbye LN, West CP. A national comparison of burnout and work‐life balance among internal medicine hospitalists and outpatient general internists. J Hosp Med. 2014;9(3):176181.
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All practicing hospitalists encounter challenging patient situations that stem from issues beyond medical illness. Those situations include the patient who demands to talk with the doctor repeatedly disregarding the lack of urgency, or the patient who, despite seeing multiple well‐regarded specialists, attempts to split the healthcare team by generating unwarranted praise or criticism toward individual caregivers.

Although these patients may be labeled difficult, hateful, or simply a unique patient‐management opportunity, effective care requires a more nuanced understanding of a possible underlying personality disorder that adversely affects the patientphysician relationship. In this issue of the Journal of Hospital Medicine, Riddle et al. provide an important review that outlines a framework for identifying the likely presence of a personality disorder along with practical advice for how to manage these patients.[1] As the authors point out, personality disorders are relatively common among patients seeking medical care but are challenging to diagnose, particularly in the setting of superimposed medical illness. Common to all personality disorders are difficulties forming and maintaining positive relationships with others such that care providers find themselves feeling frustrated, fearful, or inadequate. Inpatient providers typically receive very little training in how to care for patients with personality disorders.

The approach of avoiding collaborative teaching rounds, driven perhaps by a need for time efficiency, deprives learners of the chance to reflect on effective interactions with these patients.

Personality disorders result from genetic predisposition, complex brain dysfunction, and environmental influences. Social determinants also play a role, although limited social networks may simultaneously be a result of a personality disorder and a contributing factor.[2] Although there is a temptation to view personality disorders separate from medical conditions such as diabetes mellitus, diagnosing a personality disorder is far more complicated than simply checking a glycosylated hemoglobin. As Riddle et al. suggest, making a specific diagnosis from the list of 10 personality disorders is challenging in the hospital setting, even for experienced psychiatrists. Given the danger of propagating a diagnosis unabated and unquestioned through the electronic medical record, the attending hospitalist should be reluctant to include a diagnosis such as borderline personality disorder or histrionic personality disorder in the patient problem list without input from experts. Instead, it is useful to document the specific behaviors that are impacting patient care during this episode of illness.

We are concerned about the impact of personality disorders on a number of aspects of patient care, and these are areas that are potentially fertile ground for scholarship and research.

EFFECT ON THE PATIENT EXPERIENCE

Patients with personality disorders may have difficulty assessing the severity of their own medical illnesses. Educating patients on the meaning and value of recovery may be helpful in establishing appropriate expectations of care,[3] although it is equally important to assess the value of illness from the patient's perspective. As Riddle et al. point out, the goal for the hospitalist team is to mitigate the negative impact of adverse behavior on overall care. A recent pilot study of smartphone applications for use by patients with borderline personality disorder might have utility in the inpatient setting.[4] These types of innovations provide opportunities for hospitalist research in the care of patients with personality disorders.

EFFECT OF PERSONALITY DISORDERS ON TEAM‐BASED CLINICAL CARE

A recent observational study published in the Journal of Hospital Medicine identified several important attributes of a high‐functioning inpatient care team.[5] The findings reinforced the concept that patient care is a social activity. To provide high‐quality care, a high‐functioning partnership between team members is required. Riddle et al. point out that patients with personality traits and disorders can negatively impact the relationship among care team members. The hospitalist may be tempted to leave the nursing staff to handle the unwanted communication with the patient. This strategy is maladaptive and creates friction between the hospitalist and the nursing staff. In addition, it reduces an opportunity to recognize important real‐time changes in patients' clinical status that may adversely affect patient outcomes.

EFFECT ON DIAGNOSTIC REASONING

Clinical and diagnostic reasoning plays a central role in patient care. Hospitalists must identify key elements from empirical data and formulate their problem representation to assist in planning the next diagnostic and treatment plans. The medical literature regarding the effect of providing care to patients with maladaptive personality structures is limited. Recent literature investigating the effect of negative patient attributes on diagnostic reasoning suggests that caring for disruptive patients, such as those with maladaptive personality structures, adversely impacts the diagnostic reasoning process. In other words, we are more likely to make cognitive errors when faced with patients who foster a negative feeling. When given vignettes of the same diagnosis but prefaced with patient characteristics that would affect their likeability, trainees of both family practice and internal medicine made significantly fewer correct diagnoses in patients who were given negative connotation, such as overly demanding, a trait not uncommonly seen in patients with personality disorders/traits.[6] The diagnosis rate was more pronounced with complex cases. It is theorized that our cognitive reasoning and use of illness scripts can overcome maladaptive behavior when it comes to common presentations of common illness. However, more complex or atypical presentations require a higher level of diagnostic reasoning that may be impacted by patients who have maladaptive behaviors. The authors hypothesize a resource depletion of mental energy as a result of managing these patients.

EFFECT ON PHYSICIAN WELL‐BEING

Patients with personality disorders require increased time from healthcare providers. Burnout is a major issue for internists.[7] Any provider who has cared for patients with personality disorders can attest to the effects on emotional energy, although this effect deserves study. Without adequate coping strategies by care providers, we run the risk of depleting both our empathy and our mental resources, all of which can negatively affect patient experience and outcomes. The coping strategies that are described by Riddle et al. should be helpful in mitigating the anticipated challenges of caring for these patients and improve both our diagnostic reasoning and care‐provider resiliency.

There is still much to be learned about the long‐term effects of maladaptive personality structures on patient outcomes. We believe that is imperative to have the skills to recognize our patients with maladaptive personality traits and how the care of these patients poses challenges on the functioning of the interdisciplinary care team. Without the advanced training to make the challenging diagnosis of a personality disorder during an acute inpatient stay, it is recommended that hospitalists document the specific behaviors that are impacting patient care and the care team. It is our hope that effective coping strategies can lead to reduced risk of diagnostic errors and bolster the resiliency of the hospitalist.

Disclosure

Nothing to report.

All practicing hospitalists encounter challenging patient situations that stem from issues beyond medical illness. Those situations include the patient who demands to talk with the doctor repeatedly disregarding the lack of urgency, or the patient who, despite seeing multiple well‐regarded specialists, attempts to split the healthcare team by generating unwarranted praise or criticism toward individual caregivers.

Although these patients may be labeled difficult, hateful, or simply a unique patient‐management opportunity, effective care requires a more nuanced understanding of a possible underlying personality disorder that adversely affects the patientphysician relationship. In this issue of the Journal of Hospital Medicine, Riddle et al. provide an important review that outlines a framework for identifying the likely presence of a personality disorder along with practical advice for how to manage these patients.[1] As the authors point out, personality disorders are relatively common among patients seeking medical care but are challenging to diagnose, particularly in the setting of superimposed medical illness. Common to all personality disorders are difficulties forming and maintaining positive relationships with others such that care providers find themselves feeling frustrated, fearful, or inadequate. Inpatient providers typically receive very little training in how to care for patients with personality disorders.

The approach of avoiding collaborative teaching rounds, driven perhaps by a need for time efficiency, deprives learners of the chance to reflect on effective interactions with these patients.

Personality disorders result from genetic predisposition, complex brain dysfunction, and environmental influences. Social determinants also play a role, although limited social networks may simultaneously be a result of a personality disorder and a contributing factor.[2] Although there is a temptation to view personality disorders separate from medical conditions such as diabetes mellitus, diagnosing a personality disorder is far more complicated than simply checking a glycosylated hemoglobin. As Riddle et al. suggest, making a specific diagnosis from the list of 10 personality disorders is challenging in the hospital setting, even for experienced psychiatrists. Given the danger of propagating a diagnosis unabated and unquestioned through the electronic medical record, the attending hospitalist should be reluctant to include a diagnosis such as borderline personality disorder or histrionic personality disorder in the patient problem list without input from experts. Instead, it is useful to document the specific behaviors that are impacting patient care during this episode of illness.

We are concerned about the impact of personality disorders on a number of aspects of patient care, and these are areas that are potentially fertile ground for scholarship and research.

EFFECT ON THE PATIENT EXPERIENCE

Patients with personality disorders may have difficulty assessing the severity of their own medical illnesses. Educating patients on the meaning and value of recovery may be helpful in establishing appropriate expectations of care,[3] although it is equally important to assess the value of illness from the patient's perspective. As Riddle et al. point out, the goal for the hospitalist team is to mitigate the negative impact of adverse behavior on overall care. A recent pilot study of smartphone applications for use by patients with borderline personality disorder might have utility in the inpatient setting.[4] These types of innovations provide opportunities for hospitalist research in the care of patients with personality disorders.

EFFECT OF PERSONALITY DISORDERS ON TEAM‐BASED CLINICAL CARE

A recent observational study published in the Journal of Hospital Medicine identified several important attributes of a high‐functioning inpatient care team.[5] The findings reinforced the concept that patient care is a social activity. To provide high‐quality care, a high‐functioning partnership between team members is required. Riddle et al. point out that patients with personality traits and disorders can negatively impact the relationship among care team members. The hospitalist may be tempted to leave the nursing staff to handle the unwanted communication with the patient. This strategy is maladaptive and creates friction between the hospitalist and the nursing staff. In addition, it reduces an opportunity to recognize important real‐time changes in patients' clinical status that may adversely affect patient outcomes.

EFFECT ON DIAGNOSTIC REASONING

Clinical and diagnostic reasoning plays a central role in patient care. Hospitalists must identify key elements from empirical data and formulate their problem representation to assist in planning the next diagnostic and treatment plans. The medical literature regarding the effect of providing care to patients with maladaptive personality structures is limited. Recent literature investigating the effect of negative patient attributes on diagnostic reasoning suggests that caring for disruptive patients, such as those with maladaptive personality structures, adversely impacts the diagnostic reasoning process. In other words, we are more likely to make cognitive errors when faced with patients who foster a negative feeling. When given vignettes of the same diagnosis but prefaced with patient characteristics that would affect their likeability, trainees of both family practice and internal medicine made significantly fewer correct diagnoses in patients who were given negative connotation, such as overly demanding, a trait not uncommonly seen in patients with personality disorders/traits.[6] The diagnosis rate was more pronounced with complex cases. It is theorized that our cognitive reasoning and use of illness scripts can overcome maladaptive behavior when it comes to common presentations of common illness. However, more complex or atypical presentations require a higher level of diagnostic reasoning that may be impacted by patients who have maladaptive behaviors. The authors hypothesize a resource depletion of mental energy as a result of managing these patients.

EFFECT ON PHYSICIAN WELL‐BEING

Patients with personality disorders require increased time from healthcare providers. Burnout is a major issue for internists.[7] Any provider who has cared for patients with personality disorders can attest to the effects on emotional energy, although this effect deserves study. Without adequate coping strategies by care providers, we run the risk of depleting both our empathy and our mental resources, all of which can negatively affect patient experience and outcomes. The coping strategies that are described by Riddle et al. should be helpful in mitigating the anticipated challenges of caring for these patients and improve both our diagnostic reasoning and care‐provider resiliency.

There is still much to be learned about the long‐term effects of maladaptive personality structures on patient outcomes. We believe that is imperative to have the skills to recognize our patients with maladaptive personality traits and how the care of these patients poses challenges on the functioning of the interdisciplinary care team. Without the advanced training to make the challenging diagnosis of a personality disorder during an acute inpatient stay, it is recommended that hospitalists document the specific behaviors that are impacting patient care and the care team. It is our hope that effective coping strategies can lead to reduced risk of diagnostic errors and bolster the resiliency of the hospitalist.

Disclosure

Nothing to report.

References
  1. Riddle M, Meeks T, Alvarez C, Dubovsky A. When personality is the problem: managing patients with difficulty personalities on the acute care unit. J Hosp Med. 2016;11(12):873878.
  2. Lazarus SA, Cheavens JS. An examination of social network quality and composition in women with and without borderline personality disorder [published online June 27, 2016]. Personal Disord. doi:10.1037/per0000201.
  3. Huguelet P, Guillaume S, Vidal S, et al. Values as determinant of meaning among patients with psychiatric disorders in the perspective of recovery [published online June 8, 2016]. Sci Rep. doi:10.1038/srep27617.
  4. Prada P, Zamberg I, Bouillault G, et al. EMOTEO: a smartphone application for monitoring and reducing aversive tension in borderline personality disorder patients, a pilot study [published online July 21, 2016]. Perspect Psychiatr Care. doi:10.1111/ppc12178.
  5. McAllister C, Leykum LK, Lanham H, et al. Relationships within inpatient physician housestaff teams and their association with hospitalized patient outcomes. J Hosp Med. 2014;9(12):764771.
  6. Mamede S, Gog T, Schuit SC, et al. Why patients' disruptive behaviours impair diagnostic reasoning: a randomised experiment [published online March 7, 2016]. BMJ Qual Saf. doi:10.1136/bmjqs-2015-005065.
  7. Roberts DL, Shanafelt TD, Dyrbye LN, West CP. A national comparison of burnout and work‐life balance among internal medicine hospitalists and outpatient general internists. J Hosp Med. 2014;9(3):176181.
References
  1. Riddle M, Meeks T, Alvarez C, Dubovsky A. When personality is the problem: managing patients with difficulty personalities on the acute care unit. J Hosp Med. 2016;11(12):873878.
  2. Lazarus SA, Cheavens JS. An examination of social network quality and composition in women with and without borderline personality disorder [published online June 27, 2016]. Personal Disord. doi:10.1037/per0000201.
  3. Huguelet P, Guillaume S, Vidal S, et al. Values as determinant of meaning among patients with psychiatric disorders in the perspective of recovery [published online June 8, 2016]. Sci Rep. doi:10.1038/srep27617.
  4. Prada P, Zamberg I, Bouillault G, et al. EMOTEO: a smartphone application for monitoring and reducing aversive tension in borderline personality disorder patients, a pilot study [published online July 21, 2016]. Perspect Psychiatr Care. doi:10.1111/ppc12178.
  5. McAllister C, Leykum LK, Lanham H, et al. Relationships within inpatient physician housestaff teams and their association with hospitalized patient outcomes. J Hosp Med. 2014;9(12):764771.
  6. Mamede S, Gog T, Schuit SC, et al. Why patients' disruptive behaviours impair diagnostic reasoning: a randomised experiment [published online March 7, 2016]. BMJ Qual Saf. doi:10.1136/bmjqs-2015-005065.
  7. Roberts DL, Shanafelt TD, Dyrbye LN, West CP. A national comparison of burnout and work‐life balance among internal medicine hospitalists and outpatient general internists. J Hosp Med. 2014;9(3):176181.
Issue
Journal of Hospital Medicine - 11(12)
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Journal of Hospital Medicine - 11(12)
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890-891
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The formidable cluster: The challenge of personality disorders among hospitalized patients
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The formidable cluster: The challenge of personality disorders among hospitalized patients
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Address for correspondence and reprint requests: Daniel P. Hunt, MD, Director, Emory Division of Hospital Medicine, 1784 North Decatur Road, Suite 428, Atlanta, GA 30322; Telephone: 404‐778‐5288; Fax: 404‐778‐5495; E‐mail: [email protected]
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