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McCarthy CP, Wasfy JH, Januzzi JL. Is Myocardial Infarction Overdiagnosed? JAMA 2024:2818049. [PMID: 38656331 DOI: 10.1001/jama.2024.5235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
This Viewpoint examines whether overdiagnosis rather than underdiagnosis may now be the dominant form of myocardial infarction misdiagnosis.
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Affiliation(s)
- Cian P McCarthy
- Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Jason H Wasfy
- Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston
| | - James L Januzzi
- Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston
- Baim Institute for Clinical Research, Boston, Massachusetts
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Etiwy M, Flannery LD, Li SX, Morrison FJ, Kim J, Tanguturi VK, Fraccaro C, Coylewright M, Turchin A, Elmariah S, Wasfy JH. Examining Lack of Referrals to Heart Valve Specialists as Mechanisms of Potential Underutilization of Aortic Valve Replacement. Am Heart J 2024:S0002-8703(24)00093-0. [PMID: 38621577 DOI: 10.1016/j.ahj.2024.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 03/29/2024] [Accepted: 04/11/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND Recent studies suggest that Aortic Valve Replacement (AVR) remains underutilized. AIMS Investigate the potential role of non-referral to Heart Valve Specialists (HVS) on AVR utilization. METHODS Patients with severe aortic stenosis (AS) between 2015 and 2018, who met class I indication for intervention, were identified. Baseline data and process-related parameters were collected to analyze referral predictors and evaluate outcomes. RESULTS Among 981 patients meeting criteria AVR, 790 patients (80.5%) were assessed by HVS within six months of index TTE. Factors linked to reduced referral included increasing age (OR: 0.95; 95% CI: 0.94 - 0.97; P <0.001), unmarried status (OR: 0.59; 95% CI: 0.43 - 0.83; P =0.002) and inpatient TTE (OR: 0.27; 95% CI: 0.19 - 0.38; P <0.001). Conversely, higher hematocrit (OR: 1.13; 95% CI: 1.09 - 1.16; P <0.001) and eGFR (OR: 1.01; 95% CI: 1.00 - 1.02; P =0.003), mean aortic valve gradient (OR: 1.03; 95% CI: 1.01 - 1.04; P <0.001) and preserved LVEF (OR: 1.59; 95% CI: 1.02 - 2.48; P =0.04), were associated with increased referral likelihood. Moreover, patients assessed by HVS referral as a time-dependent covariate had a significantly lower two-year mortality risk than those who were not (aHR: 0.30; 95% CI: 0.23- 0.39; P < 0.001). CONCLUSION A substantial proportion of severe AS patients meeting indications for AVR are not evaluated by HVS and experience markedly increased mortality. Further research is warranted to assess the efficacy of care delivery mechanisms, such as e-consults, and telemedicine, to improve access to HVS expertise.
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Affiliation(s)
- Muhammad Etiwy
- Department of Medicine, Division of Hospital Medicine, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA; Department of Medicine, Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Laura D Flannery
- Department of Medicine, Division of Cardiology, OhioHealth Doctors Hospital, Columbus, OH, USA
| | - Shawn X Li
- Department of Medicine, Division of Cardiology, The University of California San Francisco, CA, USA
| | - Fritha J Morrison
- Department of Medicine, Division of Endocrinology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Joonghee Kim
- Department of Medicine, Division of Endocrinology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Varsha K Tanguturi
- Department of Medicine, Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Chiara Fraccaro
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Megan Coylewright
- Erlanger Health System, University of Tennessee-Chattanooga, Chattanooga, Tennessee, USA
| | - Alexander Turchin
- Department of Medicine, Division of Endocrinology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sammy Elmariah
- Department of Medicine, Division of Cardiology, The University of California San Francisco, CA, USA.
| | - Jason H Wasfy
- Department of Medicine, Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
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Achanta A, Belak L, Ritchie CS, Januzzi JL, Wasfy JH. Age-Related Usage of GLP-1 Agonists in Obese Patients With Heart Failure and Preserved Ejection Fraction. J Am Coll Cardiol 2024; 83:1348-1350. [PMID: 38569765 DOI: 10.1016/j.jacc.2024.01.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/24/2024] [Accepted: 01/30/2024] [Indexed: 04/05/2024]
Affiliation(s)
- Aditya Achanta
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA.
| | - Lauren Belak
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Christine S Ritchie
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - James L Januzzi
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Jason H Wasfy
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
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O'Kelly AC, Del Carmen MG, Wasfy JH. Learning How to Protect the Health System by Protecting the Caregivers. JAMA Netw Open 2024; 7:e244167. [PMID: 38687484 DOI: 10.1001/jamanetworkopen.2024.4167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2024] Open
Affiliation(s)
- Anna C O'Kelly
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Marcela G Del Carmen
- Massachusetts General Physicians Organization, Boston, Massachusetts
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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Pant A, Gribbin S, Machado P, Hodge A, Wasfy JH, Moran L, Marschner S, Chow CK, Zaman S. Ultra-processed foods and incident cardiovascular disease and hypertension in middle-aged women. Eur J Nutr 2024; 63:713-725. [PMID: 38147150 PMCID: PMC10948520 DOI: 10.1007/s00394-023-03297-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/28/2023] [Indexed: 12/27/2023]
Abstract
PURPOSE Ultra-processed food (UPF) intake has increased in recent decades, yet limited knowledge of long-term effects on cardiovascular health persists and sex-specific data is scant. We determined the association of UPF intake with incident cardiovascular disease (CVD) and/or hypertension in a population-based cohort of women. METHODS In the Australian Longitudinal Study on Women's Health, women aged 50-55 years were prospectively followed (2001-2016). UPFs were identified using NOVA classification and contribution of these foods to total dietary intake by weight was estimated. Primary endpoint was incident CVD (self-reported heart disease/stroke). Secondary endpoints were self-reported hypertension, all-cause mortality, type 2 diabetes mellitus, and/or obesity. Logistic regression models assessed associations between UPF intake and incident CVD, adjusting for socio-demographic, medical comorbidities, and dietary variables. RESULTS We included 10,006 women (mean age 52.5 ± 1.5; mean UPF intake 26.6 ± 10.2% of total dietary intake), with 1038 (10.8%) incident CVD, 471 (4.7%) deaths, and 4204 (43.8%) hypertension cases over 15 years of follow-up. In multivariable-adjusted models, the highest [mean 42.0% total dietary intake] versus the lowest [mean 14.2% total dietary intake] quintile of UPF intake was associated with higher incident hypertension [odds ratio (OR) 1.39, 95% confidence interval (CI) 1.10-1.74; p = 0.005] with a linear trend (ptrend = 0.02), but not incident CVD [OR 1.22, 95% CI 0.92-1.61; p = 0.16] or all-cause mortality (OR 0.80, 95% CI 0.54-1.20; p = 0.28). Similar results were found after multiple imputations for missing values. CONCLUSION In women, higher UPF intake was associated with increased hypertension, but not incident CVD. These findings may support minimising UPFs within a healthy diet for women.
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Affiliation(s)
- Anushriya Pant
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, 2145, Australia.
| | - Sarah Gribbin
- Department of General Medicine, The Alfred Hospital, Alfred Health, Melbourne, VIC, Australia
| | - Priscila Machado
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | - Allison Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Melbourne, VIC, Australia
| | - Jason H Wasfy
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Lisa Moran
- Monash Centre for Health Research and Implementation, Monash University, Melbourne, VIC, Australia
| | - Simone Marschner
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, 2145, Australia
| | - Clara K Chow
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, 2145, Australia
| | - Sarah Zaman
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, 2145, Australia
- Department of Cardiology, Westmead Hospital, Westmead, NSW, Australia
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Berman AN, Shiyovich A, Biery DW, Cardoso RN, Weber BN, Petranovic M, Besser SA, Hainer J, Wasfy JH, Turchin A, Di Carli MF, Blankstein R, Huck DM. Natural language processing to phenotype coronary computed tomography angiography: Development, validation, and initial results of a large multi-institution cohort. J Cardiovasc Comput Tomogr 2024:S1934-5925(24)00062-5. [PMID: 38458851 DOI: 10.1016/j.jcct.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 02/27/2024] [Accepted: 03/01/2024] [Indexed: 03/10/2024]
Affiliation(s)
- Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Arthur Shiyovich
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - David W Biery
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rhanderson N Cardoso
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brittany N Weber
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Milena Petranovic
- Department of Radiology, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephanie A Besser
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jon Hainer
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Alexander Turchin
- Division of Endocrinology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Marcelo F Di Carli
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ron Blankstein
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Daniel M Huck
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Ludmir J, Suero-Abreu GA, Gonzalez de la Nuez A, Robles M, Wood MJ, Del Carmen MG, Wasfy JH. Building a post-myocardial infarction discharge intervention program for Hispanic patients. Healthc (Amst) 2024; 12:100730. [PMID: 38087744 DOI: 10.1016/j.hjdsi.2023.100730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/08/2023] [Accepted: 12/03/2023] [Indexed: 03/12/2024]
Abstract
Hispanic patients disproportionally suffer from disparities in care delivery in the setting of acute myocardial infarction (AMI). More specifically, Hispanic patients have higher 30-day readmission rates post-AMI and are less likely to be referred to cardiac rehab. Because of the challenges Hispanic patients face with post-AMI care, the Hispanic Acute Myocardial Infarction Discharge Intervention Study (HAMIDI) was launched to provide a culturally sensitive discharge framework to improve readmission and mortality rates in this population. Patients enrolled in this study participate in a comprehensive post-discharge program involving follow-up with a Spanish-speaking cardiologist, a two-part educational virtual group visit program, and access to support throughout the study. During the initial year of the study, 35 patients enrolled and successfully participated in the program. This case study reviews the implementation process, initial outcomes, challenges, and future plans of the program.
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Affiliation(s)
- Jonathan Ludmir
- Corrigan Minehan Heart Center, Massachusetts General Hospital, Harvard Medical School, USA.
| | - Giselle A Suero-Abreu
- Corrigan Minehan Heart Center, Massachusetts General Hospital, Harvard Medical School, USA
| | | | - Martin Robles
- Department of Internal Medicine, University of California, San Francisco, Fresno, USA
| | - Malissa J Wood
- Corrigan Minehan Heart Center, Massachusetts General Hospital, Harvard Medical School, USA
| | - Marcela G Del Carmen
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, USA
| | - Jason H Wasfy
- Corrigan Minehan Heart Center, Massachusetts General Hospital, Harvard Medical School, USA
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Wasfy JH, Price M, Normand SLT, Januzzi JL, McCarthy CP, Hsu J. Classification Algorithm to Distinguish Between Type 1 and Type 2 Myocardial Infarction in Administrative Claims Data. Circ Cardiovasc Qual Outcomes 2024; 17:e009986. [PMID: 38240159 PMCID: PMC11087697 DOI: 10.1161/circoutcomes.123.009986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 10/25/2023] [Indexed: 02/22/2024]
Abstract
BACKGROUND Type 2 myocardial infarction (T2MI) and type 1 myocardial infarction (T1MI) differ with respect to demographics, comorbidities, treatments, and clinical outcomes. Reliable quality and outcomes assessment depends on the ability to distinguish between T1MI and T2MI in administrative claims data. As such, we aimed to develop a classification algorithm to distinguish between T1MI and T2MI that could be applied to claims data. METHODS Using data for beneficiaries in a Medicare accountable care organization contract in a large health care system in New England, we examined the distribution of MI diagnosis codes between 2018 to 2021 and the patterns of care and coding for beneficiaries with a hospital discharge diagnosis International Classification of Diseases, Tenth Revision code for T2MI, compared with those for T1MI. We then assessed the probability that each hospitalization was for a T2MI versus T1MI and examined care occurring in 2017 before the introduction of the T2MI code. RESULTS After application of inclusion and exclusion criteria, 7759 hospitalizations for myocardial infarction remained (46.5% T1MI and 53.5% T2MI; mean age, 79±10.3 years; 47% female). In the classification algorithm, female gender (odds ratio, 1.26 [95% CI, 1.11-1.44]), Black race relative to White race (odds ratio, 2.48 [95% CI, 1.76-3.48]), and diagnoses of COVID-19 (odds ratio, 1.74 [95% CI, 1.11-2.71]) or hypertensive emergency (odds ratio, 1.46 [95% CI, 1.00-2.14]) were associated with higher odds of the hospitalization being for T2MI versus T1MI. When applied to the testing sample, the C-statistic of the full model was 0.83. Comparison of classified T2MI and observed T2MI suggest the possibility of substantial misclassification both before and after the T2MI code. CONCLUSIONS A simple classification algorithm appears to be able to differentiate between hospitalizations for T1MI and T2MI before and after the T2MI code was introduced. This could facilitate more accurate longitudinal assessments of acute myocardial infarction quality and outcomes.
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Affiliation(s)
- Jason H. Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Mary Price
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Sharon-Lise T. Normand
- Department of Health Care Policy, Harvard Medical School, and the Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA
| | - James L. Januzzi
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Cian P. McCarthy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - John Hsu
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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Jiang GY, Lee C, Kearing SA, Wadhera RK, Gavin MC, Wasfy JH, Zeitler EP. IV Diuresis in Alternative Treatment Settings for the Management of Heart Failure: Implications for Mortality, Hospitalizations and Cost. J Card Fail 2024; 30:4-11. [PMID: 37714260 PMCID: PMC10840839 DOI: 10.1016/j.cardfail.2023.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 07/13/2023] [Accepted: 07/13/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND Recent advances in heart failure (HF) care have sought to shift management from inpatient to outpatient and observation settings. We evaluated the association among HF treatment in the (1) inpatient; (2) observation; (3) emergency department (ED); and (4) outpatient settings with 30-day mortality, hospitalizations and cost. METHODS Using 100% Medicare inpatient, outpatient and Part B files from 2011-2018, 1,534,708 unique patient encounters in which intravenous (IV) diuretics were received for a primary diagnosis of HF were identified. Encounters were sorted into mutually exclusive settings: (1) inpatient; (2) observation; (3) ED; or (4) outpatient IV diuretic clinic. The primary outcome was 30-day all-cause mortality. Secondary outcomes included 30-day hospitalization and total 30-day costs. Multivariable logistic and linear regression were used to examine the association between treatment location and the primary and secondary outcomes. RESULTS Patients treated in observation and outpatient settings had lower 30-day mortality rates (observation OR 0.67, 95% CI 0.66-0.69; P < 0.001; outpatient OR 0.53, 95% CI 0.51-0.55; P < 0.001) compared to those treated in inpatient settings. Observation and outpatient treatment were also associated with decreased 30-day total cost compared to inpatient treatment. Observation relative cost -$5528.77, 95% CI -$5613.63 to -$5443.92; outpatient relative cost -$7005.95; 95% CI -$7103.94 to -$6907.96). Patients treated in the emergency department and discharged had increased mortality rates (OR 1.15, 95% CI 1.13-1.17; P < 0.001) and increased rates of hospitalization (OR 1.72, 95% CI 1.70-1.73; P < 0.001) compared to patients treated as inpatients. CONCLUSIONS Medicare beneficiaries who received IV diuresis for acute HF in the outpatient and observation settings had lower mortality rates and decreased costs of care compared to patients treated as inpatients. Outpatient and observation management of acute decompensated HF, when available, is a safe and cost-effective strategy in certain populations of patients with HF.
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Affiliation(s)
- Ginger Y Jiang
- Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Christopher Lee
- Section of Cardiovascular Medicine, Heart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH
| | - Stephen A Kearing
- The Dartmouth Institute for Clinical Practice and Health Policy, Lebanon, NH
| | - Rishi K Wadhera
- Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, MA
| | - Michael C Gavin
- Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Emily P Zeitler
- Section of Cardiovascular Medicine, Heart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH; The Dartmouth Institute for Clinical Practice and Health Policy, Lebanon, NH.
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Achanta A, Phadke N, Wasfy JH, Levine D, Weiner RB. Home Hospital Heart Failure Admissions are an Opportunity to Optimize Guideline-Directed Medical Therapy. J Card Fail 2024; 30:115-116. [PMID: 37890656 DOI: 10.1016/j.cardfail.2023.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/04/2023] [Accepted: 09/19/2023] [Indexed: 10/29/2023]
Affiliation(s)
- Aditya Achanta
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
| | - Neelam Phadke
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA; Allergy and Immunology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Jason H Wasfy
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA; Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - David Levine
- Division of General Internal Medicine and Primary Care, Brigham and Woman's Hospital and Harvard Medical School, Boston, MA
| | - Rory B Weiner
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA; Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA
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11
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Achanta A, Wasfy JH, Moss CT, Cherukara A, Ho D, Boxer R, Schmieding M, Phadke NA, Thompson R, Levine DM, Weiner RB. Home Hospital Outcomes for Acute Decompensated Heart Failure and Factors Associated With Escalation of Care. Circ Cardiovasc Qual Outcomes 2024; 17:e010031. [PMID: 38054286 DOI: 10.1161/circoutcomes.123.010031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 10/24/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Overall outcomes and the escalation rate for home hospital admissions for heart failure (HF) are not known. We report overall outcomes, predict escalation, and describe care provided after escalation among patients admitted to home hospital for HF. METHODS Our retrospective analysis included all patients admitted for HF to 2 home hospital programs in Massachusetts between February 2020 and October 2022. Escalation of care was defined as transfer to an inpatient hospital setting (emergency department, inpatient medical unit) for at least 1 overnight stay. Unexpected mortality was defined as mortality excluding those who desired to pass away at home on admission or transitioned to hospice. We performed the least absolute shrinkage and selection operator logistic regression to predict escalation. RESULTS We included 437 hospitalizations; patients had a median age of 80 (interquartile range, 69-89) years, 58.1% were women, and 64.8% were White. Of the cohort, 29.2% had reduced ejection fraction, 50.9% had chronic kidney disease, and 60.6% had atrial fibrillation. Median admission Get With The Guidelines HF score was 39 (interquartile range, 35-45; 1%-5% predicted inpatient mortality). Escalation occurred in 10.3% of hospitalizations. Thirty-day readmission occurred in 15.1%, 90-day readmission occurred in 33.8%, and 6-month mortality occurred in 11.5%. There was no unexpected mortality during home hospitalization. Patients who experienced escalation had significantly longer median length of stays (19 versus 7.5 days, P<0.001). The most common reason for escalation was progressive renal dysfunction (36.2%). A low mean arterial pressure at the time of admission to home hospital was the most significant predictor of escalation in the least absolute shrinkage and selection operator regression. CONCLUSIONS About 1 in 10 home hospital patients with HF required escalation; none had unexpected mortality. Patients requiring escalation had longer length of stays. A low mean arterial pressure at the time of admission to home hospital was the most important predictor of escalation of care in the least absolute shrinkage and selection operator logistic regression model.
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Affiliation(s)
- Aditya Achanta
- Department of Medicine (A.A., J.H.W., N.P., R.T., R.B.W.), Massachusetts General Hospital and Harvard Medical School, Boston
- Division of General Internal Medicine and Primary Care, Brigham and Woman's Hospital and Harvard Medical School, Boston, MA (A.C., D.H., R.B., M.S., D.L.)
| | - Jason H Wasfy
- Department of Medicine (A.A., J.H.W., N.P., R.T., R.B.W.), Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division (J.H.W., R.B.W.), Massachusetts General Hospital and Harvard Medical School, Boston
| | | | | | - David Ho
- Division of General Internal Medicine and Primary Care, Brigham and Woman's Hospital and Harvard Medical School, Boston, MA (A.C., D.H., R.B., M.S., D.L.)
| | - Robert Boxer
- Division of General Internal Medicine and Primary Care, Brigham and Woman's Hospital and Harvard Medical School, Boston, MA (A.C., D.H., R.B., M.S., D.L.)
| | - Malte Schmieding
- Division of General Internal Medicine and Primary Care, Brigham and Woman's Hospital and Harvard Medical School, Boston, MA (A.C., D.H., R.B., M.S., D.L.)
| | - Neelam Ameya Phadke
- Department of Medicine (A.A., J.H.W., N.P., R.T., R.B.W.), Massachusetts General Hospital and Harvard Medical School, Boston
- Allergy and Immunology Division (N.P.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - Ryan Thompson
- Department of Medicine (A.A., J.H.W., N.P., R.T., R.B.W.), Massachusetts General Hospital and Harvard Medical School, Boston
| | - David Michael Levine
- Division of General Internal Medicine and Primary Care, Brigham and Woman's Hospital and Harvard Medical School, Boston, MA (A.C., D.H., R.B., M.S., D.L.)
| | - Rory B Weiner
- Department of Medicine (A.A., J.H.W., N.P., R.T., R.B.W.), Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division (J.H.W., R.B.W.), Massachusetts General Hospital and Harvard Medical School, Boston
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12
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Achanta A, Wasfy JH. More advanced statistical techniques are not yet sufficient to realize the promise of risk prediction to reduce readmission. Cardiovasc Revasc Med 2023; 56:25-26. [PMID: 37394318 DOI: 10.1016/j.carrev.2023.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 06/14/2023] [Indexed: 07/04/2023]
Affiliation(s)
- Aditya Achanta
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Jason H Wasfy
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America; Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States of America.
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13
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Berman AN, Ginder C, Sporn ZA, Tanguturi V, Hidrue MK, Shirkey LB, Zhao Y, Blankstein R, Turchin A, Wasfy JH. Natural Language Processing for the Ascertainment and Phenotyping of Left Ventricular Hypertrophy and Hypertrophic Cardiomyopathy on Echocardiogram Reports. Am J Cardiol 2023; 206:247-253. [PMID: 37714095 DOI: 10.1016/j.amjcard.2023.08.109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/17/2023] [Accepted: 08/20/2023] [Indexed: 09/17/2023]
Abstract
Extracting and accurately phenotyping electronic health documentation is critical for medical research and clinical care. We sought to develop a highly accurate and open-source natural language processing (NLP) module to ascertain and phenotype left ventricular hypertrophy (LVH) and hypertrophic cardiomyopathy (HCM) diagnoses from echocardiogram reports within a diverse hospital network. After the initial development on 17,250 echocardiogram reports, 700 unique reports from 6 hospitals were randomly selected from data repositories within the Mass General Brigham healthcare system and manually adjudicated by physicians for 10 subtypes of LVH and diagnoses of HCM. Using an open-source NLP system, the module was formally tested on 300 training set reports and validated on 400 reports. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated to assess the discriminative accuracy of the NLP module. The NLP demonstrated robust performance across the 10 LVH subtypes, with the overall sensitivity and specificity exceeding 96%. In addition, the NLP module demonstrated excellent performance in detecting HCM diagnoses, with sensitivity and specificity exceeding 93%. In conclusion, we designed a highly accurate NLP module to determine the presence of LVH and HCM on echocardiogram reports. Our work demonstrates the feasibility and accuracy of NLP to detect diagnoses on imaging reports, even when described in free text. This module has been placed in the public domain to advance research, trial recruitment, and population health management for patients with LVH-associated conditions.
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Affiliation(s)
- Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital
| | - Curtis Ginder
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital
| | | | - Varsha Tanguturi
- Cardiology Division, Department of Medicine, Massachusetts General Hospital
| | - Michael K Hidrue
- Division of Performance Analysis and Improvement, Massachusetts General Physicians Organization, Massachusetts General Hospital
| | - Linnea B Shirkey
- Division of Performance Analysis and Improvement, Massachusetts General Physicians Organization, Massachusetts General Hospital
| | - Yunong Zhao
- Cardiology Division, Department of Medicine, Massachusetts General Hospital
| | - Ron Blankstein
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital
| | - Alexander Turchin
- Division of Endocrinology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital.
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14
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Berman AN, Ginder C, Wang XS, Borden L, Hidrue MK, Searl Como JM, Daly D, Sun YP, Curry WT, Del Carmen M, Morrow DA, Scirica B, Choudhry NK, Januzzi JL, Wasfy JH. A pragmatic clinical trial assessing the effect of a targeted notification and clinical support pathway on the diagnostic evaluation and treatment of individuals with left ventricular hypertrophy (NOTIFY-LVH). Am Heart J 2023; 265:40-49. [PMID: 37454754 DOI: 10.1016/j.ahj.2023.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/19/2023] [Accepted: 06/28/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Electronic health records contain vast amounts of cardiovascular data, including potential clues suggesting unrecognized conditions. One important example is the identification of left ventricular hypertrophy (LVH) on echocardiography. If the underlying causes are untreated, individuals are at increased risk of developing clinically significant pathology. As the most common cause of LVH, hypertension accounts for more cardiovascular deaths than any other modifiable risk factor. Contemporary healthcare systems have suboptimal mechanisms for detecting and effectively implementing hypertension treatment before downstream consequences develop. Thus, there is an urgent need to validate alternative intervention strategies for individuals with preexisting-but potentially unrecognized-LVH. METHODS Through a randomized pragmatic trial within a large integrated healthcare system, we will study the impact of a centralized clinical support pathway on the diagnosis and treatment of hypertension and other LVH-associated diseases in individuals with echocardiographic evidence of concentric LVH. Approximately 600 individuals who are not treated for hypertension and who do not have a known cardiomyopathy will be randomized. The intervention will be directed by population health coordinators who will notify longitudinal clinicians and offer to assist with the diagnostic evaluation of LVH. Our hypothesis is that an intervention that alerts clinicians to the presence of LVH will increase the detection and treatment of hypertension and the diagnosis of alternative causes of thickened myocardium. The primary outcome is the initiation of an antihypertensive medication. Secondary outcomes include new hypertension diagnoses and new cardiomyopathy diagnoses. The trial began in March 2023 and outcomes will be assessed 12 months from the start of follow-up. CONCLUSION The NOTIFY-LVH trial will assess the efficacy of a centralized intervention to improve the detection and treatment of hypertension and LVH-associated diseases. Additionally, it will serve as a proof-of-concept for how to effectively utilize previously collected electronic health data to improve the recognition and management of a broad range of chronic cardiovascular conditions. TRIAL REGISTRATION NCT05713916.
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Affiliation(s)
- Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Massachusetts General Physicians Organization, Boston, MA
| | - Curtis Ginder
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Xianghong S Wang
- Division of Performance Analysis and Improvement, Massachusetts General Physicians Organization, Boston, MA
| | - Linnea Borden
- Massachusetts General Physicians Organization, Boston, MA
| | - Michael K Hidrue
- Division of Performance Analysis and Improvement, Massachusetts General Physicians Organization, Boston, MA
| | | | - Danielle Daly
- Massachusetts General Physicians Organization, Boston, MA
| | - Yee-Ping Sun
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - William T Curry
- Massachusetts General Physicians Organization, Boston, MA; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Marcela Del Carmen
- Massachusetts General Physicians Organization, Boston, MA; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - David A Morrow
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Benjamin Scirica
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Niteesh K Choudhry
- Department of Medicine, Center for Healthcare Delivery Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - James L Januzzi
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA; Heart Failure and Biomarker Trials, Baim Institute for Clinical Research, Boston, MA
| | - Jason H Wasfy
- Massachusetts General Physicians Organization, Boston, MA; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
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McCarthy CP, Murphy SP, Amponsah DK, Rambarat PK, Lin C, Liu Y, Mohebi R, Levin A, Raghavan A, Miksenas H, Rogers C, Wasfy JH, Blankstein R, Ghoshhajra B, Hedgire S, Januzzi JL. Coronary Computed Tomographic Angiography With Fractional Flow Reserve in Patients With Type 2 Myocardial Infarction. J Am Coll Cardiol 2023; 82:1676-1687. [PMID: 37777947 DOI: 10.1016/j.jacc.2023.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/24/2023] [Accepted: 08/14/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND Type 2 myocardial infarction (T2MI) related to a supply/demand imbalance of coronary blood flow is common and associated with poor prognosis. Coronary artery disease (CAD) may predispose some individuals to T2MI and contribute to its high rate of recurrent cardiovascular events. Little is known about the presence and extent of CAD in this population. OBJECTIVES The goal of this study was to evaluate the presence and characteristics of CAD among patients with T2MI. METHODS In this prospective study, consecutive eligible individuals with Fourth Universal Definition of Myocardial Infarction criteria for T2MI were enrolled. Participants underwent coronary computed tomography angiography (CTA), fractional flow reserve derived with coronary CTA (FFRCT), and plaque volume analyses. RESULTS Among 50 participants, 25 (50%) were female, and the mean age was 68.0 ± 11.4 years. Atherosclerotic risk factors were common. Coronary CTA revealed coronary plaque in 46 participants (92%). A moderate or greater stenosis (≥50%) was identified in 42% of participants, and obstructive disease (≥50% left main stenosis or ≥70% stenosis in any other epicardial coronary artery) was present in 26%. Prevalence of obstructive CAD did not differ according to T2MI cause (P = 0.54). A hemodynamically significant focal stenosis identified by FFRCT was present in 13 participants (26%). Among participants with a stenosis ≥50% (n = 21), FFRCT excluded lesion-specific hemodynamically significant stenosis in 8 cases (38%). CONCLUSIONS Among individuals with adjudicated T2MI, CAD was prevalent, but the majority of patients had nonobstructive CAD. Mediators of ischemia are likely multifactorial in this population. (Defining the Prevalence and Characteristics of Coronary Artery Disease Among Patients with Type 2 Myocardial Infarction using CT-FFR [DEFINE TYPE 2 MI]; NCT04864119).
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Affiliation(s)
- Cian P McCarthy
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA. https://twitter.com/CianPMcCarthy
| | - Sean P Murphy
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Daniel K Amponsah
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Paula K Rambarat
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Claire Lin
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Yuxi Liu
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Reza Mohebi
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Allison Levin
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Avanthi Raghavan
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Hannah Miksenas
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Jason H Wasfy
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ron Blankstein
- Department of Medicine (Cardiovascular Division) and Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Brian Ghoshhajra
- Division of Cardiovascular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sandeep Hedgire
- Division of Cardiovascular Imaging, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - James L Januzzi
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA; Baim Institute for Clinical Research, Boston, Massachusetts, USA.
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16
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Ortega MV, Hidrue MK, Lehrhoff SR, Ellis DB, Sisodia RC, Curry WT, del Carmen MG, Wasfy JH. Patterns in Physician Burnout in a Stable-Linked Cohort. JAMA Netw Open 2023; 6:e2336745. [PMID: 37801314 PMCID: PMC10559175 DOI: 10.1001/jamanetworkopen.2023.36745] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 08/21/2023] [Indexed: 10/07/2023] Open
Abstract
Importance Physician burnout is widely reported to be an increasing problem in the US. Although prior analyses suggest physician burnout is rising nationally, these analyses have substantial limitations, including different physicians joining and leaving clinical practice. Objective To examine the prevalence of burnout among physicians in a large multispecialty group over a 5-year period. Design, Setting, and Participants This survey study was conducted in 2017, 2019, and 2021 and involved physician faculty members of the Massachusetts General Physicians Organization. Participants represented different clinical specialties and a full range of career stages. The online survey instrument had 4 domains: physician career and compensation satisfaction, physician well-being, administrative workload on physicians, and leadership and diversity. Exposure Time. Main Outcomes and Measures Physician burnout, which was assessed with the Maslach Burnout Inventory. A binary burnout measure was used, which defined burnout as a high score in 2 of the 3 burnout subscales: Exhaustion, Cynicism, and Reduced Personal Efficacy. Results A total of 1373 physicians (72.9% of the original 2017 cohort) participated in all 3 surveys. The cohort included 690 (50.3%) male, 921 (67.1%) White, and 1189 (86.6%) non-Hispanic individuals. The response rates were 93.0% in 2017, 93.0% in 2019, and 92.0% in 2021. Concerning years of experience, the cohort was relatively well distributed, with the highest number and proportion of physicians (478 [34.8%]) reporting between 11 and 20 years of experience. Within this group, burnout declined from 44.4% (610 physicians) in 2017 to 41.9% (575) in 2019 (P = .18) before increasing to 50.4% (692) in 2021 (P < .001). Conclusions and Relevance Findings of this survey study suggest that the physician burnout rate in the US is increasing. This pattern represents a potential threat to the ability of the US health care system to care for patients and needs urgent solutions.
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Affiliation(s)
- Marcus V. Ortega
- Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston
- Massachusetts General Physicians Organization, Boston
| | | | | | - Dan B. Ellis
- Massachusetts General Physicians Organization, Boston
- Department of Anesthesiology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Rachel C. Sisodia
- Massachusetts General Physicians Organization, Boston
- Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - William T. Curry
- Massachusetts General Physicians Organization, Boston
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Marcela G. del Carmen
- Massachusetts General Physicians Organization, Boston
- Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jason H. Wasfy
- Massachusetts General Physicians Organization, Boston
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
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17
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Atallah J, Chiha T, Chen C, Siller-Matula JM, McCarthy CP, Januzzi JL, Wasfy JH. Clinical outcomes associated with type II myocardial infarction caused by bleeding. Am Heart J 2023; 263:85-92. [PMID: 37201860 DOI: 10.1016/j.ahj.2023.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Type ll myocardial infarction (T2MI) is caused by a mismatch between myocardial oxygen supply and demand. One subset of individuals is T2MI caused by acute hemorrhage. Traditional MI treatments including antiplatelets, anticoagulants, and revascularization can worsen bleeding. We aim to report outcomes of T2MI patients due to bleeding, stratified by treatment approach. METHODS The MGB Research Patient Data Registry followed by manual physician adjudication was used to identify individuals with T2MI caused by bleeding between 2009 and 2022. We defined 3 treatment groups: (1) invasively managed, (2) pharmacologic, and (3) conservatively managed Clinical parameters and outcomes for 30-day, mortality, rebleeding, and readmission were abstracted compared between the treatment groups. RESULTS We identified 5,712 individuals coded with acute bleeding, of which 1,017 were coded with T2MI during their admission. After manual physician adjudication, 73 individuals met the criteria for T2MI caused by bleeding. 18 patients were managed invasively, 39 received pharmacologic therapy alone, and 16 were managed conservatively. The invasively managed group experienced lower mortality (P = .021) yet higher readmission (P = .045) than the conservatively managed group. The pharmacologic group also experienced lower mortality (P= .017) yet higher readmission (P = .005) than the conservatively managed group. CONCLUSION Individuals with T2MI associated with acute hemorrhage are a high-risk population. Patients treated with standard procedures experienced higher readmission but lower mortality than conservatively managed patients. These results raise the possibility of testing ischemia-reduction approaches for such high-risk populations. Future clinical trials are required to validate treatment strategies for T2MI caused by bleeding.
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Affiliation(s)
- Johnny Atallah
- Harvard Medical School, Boston, MA; Cardiology Division, Massachusetts General Hospital, Boston, MA
| | - Tania Chiha
- Harvard Medical School, Boston, MA; Pulmonology and Critical Care Division, Brigham and Women's Hospital, MA
| | - Chen Chen
- Harvard Medical School, Boston, MA; Cardiology Division, Massachusetts General Hospital, Boston, MA
| | | | - Cian P McCarthy
- Harvard Medical School, Boston, MA; Cardiology Division, Massachusetts General Hospital, Boston, MA
| | - James L Januzzi
- Harvard Medical School, Boston, MA; Cardiology Division, Massachusetts General Hospital, Boston, MA; Heart Failure and Biomarker Trials, Baim Institute for Clinical Research, Boston, MA
| | - Jason H Wasfy
- Harvard Medical School, Boston, MA; Cardiology Division, Massachusetts General Hospital, Boston, MA.
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18
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Sandhu AT, Heidenreich PA, Borden W, Farmer SA, Ho PM, Hammond G, Johnson JC, Wadhera RK, Wasfy JH, Biga C, Takahashi E, Misra KD, Joynt Maddox KE. Value-Based Payment for Clinicians Treating Cardiovascular Disease: A Policy Statement From the American Heart Association. Circulation 2023; 148:543-563. [PMID: 37427456 DOI: 10.1161/cir.0000000000001143] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Clinician payment is transitioning from fee-for-service to value-based payment, with reimbursement tied to health care quality and cost. However, the overarching goals of value-based payment-to improve health care quality, lower costs, or both-have been largely unmet. This policy statement reviews the current state of value-based payment and provides recommended best practices for future design and implementation. The policy statement is divided into sections that detail different aspects of value-based payment: (1) key program design features (patient population, quality measurement, cost measurement, and risk adjustment), (2) the role of equity during design and evaluation, (3) adjustment of payment, and (4) program implementation and evaluation. Each section introduces the topic, describes important considerations, and lists examples from existing programs. Each section includes recommended best practices for future program design. The policy statement highlights 4 key themes for successful value-based payment. First, programs should carefully weigh the incentives between lowering cost and improving quality of care and ensure that there is adequate focus on quality of care. Second, the expansion of value-based payment should be a tool for improving equity, which is central to quality of care and should be a focal point of program design and evaluation. Third, value-based payment should continue to move away from fee for service toward more flexible funding that allows clinicians to focus resources on the interventions that best help patients. Last, successful programs should find ways to channel clinicians' intrinsic motivation to improve their performance and the care for their patients. These principles should guide the future development of clinician value-based payment models.
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Wasfy JH, Achanta A, Hidrue MK, Urbut S, Axtell AL, Berman AN, Zhao Y, Chen J, Gustus S, Picard MH. Association between implanted cardioverter-defibrillators and mortality for patients with left ventricular ejection fraction between 30% and 35. Open Heart 2023; 10:e002289. [PMID: 37625819 PMCID: PMC10462974 DOI: 10.1136/openhrt-2023-002289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/30/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Consensus guidelines support the use of implanted cardioverter-defibrillators (ICD) for primary prevention of sudden cardiac death in patients with either non-ischaemic or ischaemic cardiomyopathy with left ventricular ejection fraction (LVEF) ≤35%. However, evidence from trials for efficacy specifically for patients with LVEF near 35% is weak. Past trials are underpowered for this population and future trials are unlikely to be performed. METHODS Patients with lowest LVEF between 30% and 35% without an ICD prior to the lowest-LVEF echo (defined as 'time zero') were identified by querying echocardiography data from 28 November 2001 to 9 July 2020 at the Massachusetts General Hospital linked to ICD treatment status. To assess the association between ICD and mortality, propensity score matching followed by Cox proportional hazards models considering treatment status as a time-dependent covariate was used. A secondary analysis was performed for LVEF 36%-40%. RESULTS Initially, 526 440 echocardiograms representing 266 601 unique patients were identified. After inclusion and exclusion criteria were applied, 6109 patients remained for the analytical cohort. In bivariate unadjusted comparisons, patients who received ICDs were substantially more often male (79.8% vs 65.4%, p<0.0001), more often white (87.5% vs 83.7%, p<0.046) and more often had a history of ventricular tachycardia (74.5% vs 19.1%, p<0.0001) and myocardial infarction (56.1% vs 38.2%, p<0.0001). In the propensity matched sample, after accounting for time-dependence, there was no association between ICD and mortality (HR 0.93, 95% CI 0.75 to 1.15, p=0.482). CONCLUSIONS ICD therapy was not associated with reduced mortality near the conventional LVEF threshold of 35%. Although this treatment design cannot definitively demonstrate lack of efficacy, our results are concordant with available prior trial data. A definitive, well-powered trial is needed to answer the important clinical question of primary prevention ICD efficacy between LVEF 30% and 35%.
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Affiliation(s)
- Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Aditya Achanta
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael K Hidrue
- Office of the Chief Medical Officer, Mass General Brigham, Boston, Massachusetts, USA
| | - Sarah Urbut
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrea L Axtell
- Department of Surgery, Harvard Medical School, Boston, Massachusetts, USA
| | - Adam N Berman
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Yunong Zhao
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Julian Chen
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sarah Gustus
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael H Picard
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Jiang GY, Urwin JW, Wasfy JH. Medicaid Expansion Under the Affordable Care Act and Association With Cardiac Care: A Systematic Review. Circ Cardiovasc Qual Outcomes 2023; 16:e009753. [PMID: 37339189 DOI: 10.1161/circoutcomes.122.009753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 04/20/2023] [Indexed: 06/22/2023]
Abstract
BACKGROUND The goal of the Affordable Care Act was to improve health outcomes through expanding insurance, including through Medicaid expansion. We systematically reviewed the available literature on the association of Affordable Care Act Medicaid expansion with cardiac outcomes. METHODS Consistent with Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, we performed systematic searches in PubMed, the Cochrane Library, and Cumulative Index to Nursing and Allied Health Literature using the keywords such as Medicaid expansion and cardiac, cardiovascular, or heart to identify titles published from 1/2014 to 7/2022 that evaluated the association between Medicaid expansion and cardiac outcomes. RESULTS A total of 30 studies met inclusion and exclusion criteria. Of these, 14 studies (47%) used a difference-in-difference study design and 10 (33%) used a multiple time series design. The median number of postexpansion years evaluated was 2 (range, 0.5-6) and the median number of expansion states included was 23 (range, 1-33). Commonly assessed outcomes included insurance coverage of and utilization of cardiac treatments (25.0%), morbidity/mortality (19.6%), disparities in care (14.3%), and preventive care (41.1%). Medicaid expansion was generally associated with increased insurance coverage, reduction in overall cardiac morbidity/mortality outside of acute care settings, and some increase in screening for and treatment of cardiac comorbidities. CONCLUSIONS Current literature demonstrates that Medicaid expansion was generally associated with increased insurance coverage of cardiac treatments, improvement in cardiac outcomes outside of acute care settings, and some improvements in cardiac-focused prevention and screening. Conclusions are limited because quasi-experimental comparisons of expansion and nonexpansion states cannot account for unmeasured state-level confounders.
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Affiliation(s)
- Ginger Y Jiang
- Division of Cardiovascular Medicine (GYJ) and Department of Medicine (JWU), Beth Israel Deaconess Medical Center, Boston, MA. Cardiology Division, Massachusetts General Hospital, Boston, MA (JHW). Harvard Medical School, Boston, MA (GYJ, JWU, JHW)
| | - John W Urwin
- Division of Cardiovascular Medicine (GYJ) and Department of Medicine (JWU), Beth Israel Deaconess Medical Center, Boston, MA. Cardiology Division, Massachusetts General Hospital, Boston, MA (JHW). Harvard Medical School, Boston, MA (GYJ, JWU, JHW)
| | - Jason H Wasfy
- Division of Cardiovascular Medicine (GYJ) and Department of Medicine (JWU), Beth Israel Deaconess Medical Center, Boston, MA. Cardiology Division, Massachusetts General Hospital, Boston, MA (JHW). Harvard Medical School, Boston, MA (GYJ, JWU, JHW)
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21
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Daly DJ, Essien UR, Del Carmen MG, Scirica B, Berman AN, Searl Como J, Wasfy JH. Race, ethnicity, sex, and socioeconomic disparities in anticoagulation for atrial fibrillation: A narrative review of contemporary literature. J Natl Med Assoc 2023; 115:290-297. [PMID: 36882341 DOI: 10.1016/j.jnma.2023.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/27/2023] [Accepted: 02/10/2023] [Indexed: 03/07/2023]
Abstract
Atrial fibrillation (AF) is the most prevalent arrhythmia in the United States and is responsible for 1 in 7 ischemic strokes. While anticoagulation is effective at preventing strokes, prior work has highlighted significant disparities in anticoagulation prescribing. Furthermore, racial, ethnic, sex, and socioeconomic disparities in AF outcomes have been described. As such, we aimed to review recent data on disparities with respect to anticoagulation for AF published between January 2018 and February 2021. The search string consisted of 7 phrases that combined AF, anticoagulation, and disparities involving sex, race, ethnicity, income, socioeconomic status (SES), and access to care and identified 13 relevant articles. The aggregate data demonstrated that Black patients were less likely to be prescribed anticoagulation than patients of other racial/ethnic groups. Additionally, Black patients were more likely to be prescribed warfarin instead of direct oral anticoagulants (DOACs) despite evidence that DOACs are safer and better tolerated. Lower-income patients and patients with less education were also less likely to receive DOACs. Some studies found that women were less likely to be anticoagulated than men even when their estimated stroke risk was higher, although other studies did not show sex-based differences. Building upon prior work, our study demonstrates that racial and ethnic disparities have persisted in the management of AF. Additionally, we our work highlights that there are significant disparities in anticoagulation management for AF associated with sex, income, and education. More work is needed to identify mechanisms for these disparities and identify potential solutions to achieve pharmacoequity.
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Affiliation(s)
- Danielle J Daly
- Population Health Management, Performance Analysis and Improvement Unit, Massachusetts General Hospital, Boston, MA.
| | - Utibe R Essien
- Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA; Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Marcela G Del Carmen
- Harvard T.H. Chan School of Public Health, Boston, MA;; Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts, USA;; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology and Reproductive Biology, Massachusetts General Hospital, Boston, MA, USA;; Massachusetts General Physicians Organization, Boston, MA; Harvard Medical School, Boston, MA
| | - Benjamin Scirica
- Harvard Medical School, Boston, MA; Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA
| | - Adam N Berman
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA
| | - Jennifer Searl Como
- Population Health Management, Performance Analysis and Improvement Unit, Massachusetts General Hospital, Boston, MA
| | - Jason H Wasfy
- Massachusetts General Physicians Organization, Boston, MA; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA
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22
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Sukumar S, Wasfy JH, Januzzi JL, Peppercorn J, Chino F, Warraich HJ. Financial Toxicity of Medical Management of Heart Failure: JACC Review Topic of the Week. J Am Coll Cardiol 2023; 81:2043-2055. [PMID: 37197848 DOI: 10.1016/j.jacc.2023.03.402] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/01/2023] [Accepted: 03/06/2023] [Indexed: 05/19/2023]
Abstract
Optimal medical management of heart failure (HF) improves quality of life, decreases mortality, and decreases hospitalizations. Cost may contribute to suboptimal adherence to HF medications, especially angiotensin receptor-neprilysin inhibitors and sodium-glucose cotransporter-2 inhibitors. Patients' experiences with HF medication cost include financial burden, financial strain, and financial toxicity. Although there has been research studying financial toxicity in patients with some chronic diseases, there are no validated tools for measuring financial toxicity of HF, and very few data on the subjective experiences of patients with HF and financial toxicity. Strategies to decrease HF-associated financial toxicity include making systemic changes to minimize cost sharing, optimizing shared decision-making, implementing policies to lower drug costs, broadening insurance coverage, and using financial navigation services and discount programs. Clinicians may also improve patient financial wellness through various strategies in routine clinical care. Future research is needed to study financial toxicity and associated patient experiences for HF.
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Affiliation(s)
- Smrithi Sukumar
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA. https://twitter.com/SmrithiSukumar
| | - Jason H Wasfy
- Department of Medicine, Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - James L Januzzi
- Department of Medicine, Cardiology Division, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jeffrey Peppercorn
- Department of Medicine, Division of Hematology/Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Fumiko Chino
- Memorial Sloan Kettering, New York, New York, USA
| | - Haider J Warraich
- Department of Medicine, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Medicine, Cardiology Section, VA Boston Healthcare System, Boston, Massachusetts, USA.
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23
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McCarthy CP, Murphy SP, Miksenas H, Amponsah D, Rambarat P, Levin A, Raghavan A, Mohebi R, Lin C, Rogers CD, Wasfy JH, Blankstein R, Ghoshhajra BB, Hedgire S, Januzzi JL. DEFINING THE PREVALENCE AND CHARACTERISTICS OF CORONARY ARTERY DISEASE AMONG PATIENTS WITH TYPE 2 MYOCARDIAL INFARCTION USING CT-FFR (DEFINE TYPE 2 MI). J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)01568-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
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24
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Festa N, Wasfy JH, Moura LMVR. Promising Administrative Measures of Heart Failure and Future Directions. Circ Cardiovasc Qual Outcomes 2023; 16:e009833. [PMID: 36688300 PMCID: PMC9975022 DOI: 10.1161/circoutcomes.122.009833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Natalia Festa
- National Clinician Scholars Program at Yale University, New Haven, Connecticut
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Jason H. Wasfy
- Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Lidia MVR Moura
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
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25
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McCarthy C, Li S, Wang TY, Raber I, Sandoval Y, Smilowitz NR, Wasfy JH, Pandey A, de Lemos JA, Kontos MC, Apple FS, Daniels LB, Newby LK, Jaffe AS, Januzzi JL. Implementation of High-Sensitivity Cardiac Troponin Assays in the United States. J Am Coll Cardiol 2023; 81:207-219. [PMID: 36328155 PMCID: PMC10037558 DOI: 10.1016/j.jacc.2022.10.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Few data exist regarding the implementation of high-sensitivity cardiac troponin (hs-cTn) assays in the United States since their approval. OBJECTIVES This study sought to explore trends in hs-cTn assay implementation over time and assess the association of their use with in-hospital cardiac testing and outcomes. METHODS The study examined trends in implementation of hs-cTn assays among participating hospitals in the National Cardiovascular Data Registry Chest Pain-MI [Myocardial Infarction] Registry from January 1, 2019 through September 30, 2021. Associations among hs-cTn use, use of in-hospital diagnostic imaging, and patient outcomes were assessed using generalized estimating equation models with logistic or gamma distributions. RESULTS Among 550 participating hospitals (N = 251,000), implementation of hs-cTn assays increased from 3.3% in the first quarter of 2019 to 32.6% in the third quarter of 2021 (Ptrend < 0.001). Use of hs-cTn was associated with more echocardiography among persons with non-ST-segment elevation acute coronary syndrome (NSTE-ACS; 82.4% vs 75.0%; adjusted odds ratio: 1.43; 95% CI: 1.19-1.73) but not among low-risk chest pain individuals. Use of hs-cTn was associated with less invasive coronary angiography among low-risk patients (3.7% vs 4.5%; adjusted odds ratio: 0.73; 95% CI: 0.58-0.92) but similar use for patients with NSTE-ACS. There was no association between hs-cTn use and noninvasive stress testing or coronary computed tomography angiography testing. Among individuals with NSTE-ACS, hs-cTn use was not associated with revascularization or in-hospital mortality. Use of hs-cTn was associated with a shorter length of stay (median 47.6 hours vs 48.0 hours; ratio: 0.94; 95% CI: 0.90-0.98). CONCLUSIONS Implementation of hs-cTn among U.S. hospitals is increasing, but most U.S. hospitals continue to use less sensitive assays. The use of hs-cTn was associated with modestly shorter length of stay, greater use of echocardiography for NSTE-ACS, and less use of invasive angiography among low-risk patients.
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Affiliation(s)
- Cian McCarthy
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
| | - Shuang Li
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA
| | - Tracy Y Wang
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA; Division of Cardiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Inbar Raber
- Division of Cardiology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Yader Sandoval
- Minneapolis Heart Institute, Abbott Northwestern Hospital, and Minneapolis Heart Institute Foundation, Minneapolis, Minnesota, USA
| | - Nathaniel R Smilowitz
- Leon H. Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, New York, USA
| | - Jason H Wasfy
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ambarish Pandey
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - James A de Lemos
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Michael C Kontos
- Division of Cardiology, Pauley Heart Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Fred S Apple
- Department of Laboratory Medicine and Pathology, Hennepin Healthcare/HCMC, Minneapolis, Minnesota, USA; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Lori B Daniels
- Division of Cardiovascular Medicine, Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - L Kristin Newby
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA; Division of Cardiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Allan S Jaffe
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - James L Januzzi
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA; Heart Failure and Biomarker Trials, Baim Institute for Clinical Research, Boston, Massachusetts, USA
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26
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Sporn ZA, Berman AN, Daly D, Wasfy JH. Improving guideline-based anticoagulation in atrial fibrillation: A systematic literature review of prospective trials. Heart Rhythm 2023; 20:69-75. [PMID: 36122695 DOI: 10.1016/j.hrthm.2022.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 09/07/2022] [Accepted: 09/12/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Guidelines for anticoagulation in patients with atrial fibrillation (AF) aim to decrease the risk of ischemic stroke. However, there is a gap in actual practice between patients who have an indication for anticoagulation and those who are actually prescribed anticoagulation. OBJECTIVE We sought to evaluate the efficacy of prior population-based interventions aimed at decreasing this AF anticoagulation gap. METHODS This study was prospectively registered in the International Prospective Register of Systematic Reviews database (CRD42021287875). A systematic literature review was conducted to obtain all prospective individually randomized and cluster randomized trials by searching 4 electronic databases: PubMed, Google Scholar, Web of Science, and Medline. RESULTS After a review of 1474 studies, 20 trials were included in this systematic literature review. Forty-five percent were effective in decreasing the AF anticoagulation gap. Trial interventions that improved anticoagulation prescribing included 6 trials of electronic risk assessment or decision support, 1 trial of provider education, 2 trials of new protocol or pathway, and 2 trials of patient education. Six of 15 ambulatory trials, 2 of 4 inpatient trials, and 1 trial that spanned inpatient and outpatient settings improved anticoagulation prescribing rates. Interventions focused on patient education, provider education, and electronic risk assessment or decision support increased absolute appropriate anticoagulation prescribing by 8.3%, 4.9%, and 2.0%, respectively. CONCLUSION Interventions aimed at improving anticoagulation prescribing patterns in AF can be effective, although there is heterogeneity in outcomes across intervention type. The most effective interventions appeared to target patient education, provider education, and electronic risk assessment or decision support.
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Affiliation(s)
- Zachary A Sporn
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
| | - Adam N Berman
- Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Danielle Daly
- Population Health Management, Performance Analysis and Improvement, Massachusetts General Physicians Organization, Massachusetts General Hospital, Boston, Massachusetts
| | - Jason H Wasfy
- Population Health Management, Performance Analysis and Improvement, Massachusetts General Physicians Organization, Massachusetts General Hospital, Boston, Massachusetts; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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27
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Strom JB, Zhao Y, Shen C, Wasfy JH, Xu J, Yucel E, Tanguturi V, Hyland PM, Markson LJ, Kazi DS, Cui J, Hung J, Yeh RW, Manning WJ. Development and validation of an echocardiographic algorithm to predict long-term mitral and tricuspid regurgitation progression. Eur Heart J Cardiovasc Imaging 2022; 23:1606-1616. [PMID: 34849685 PMCID: PMC9989598 DOI: 10.1093/ehjci/jeab254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 11/11/2021] [Indexed: 11/14/2022] Open
Abstract
AIMS Prediction of mitral (MR) and tricuspid (TR) regurgitation progression on transthoracic echocardiography (TTE) is needed to personalize valvular surveillance intervals and prognostication. METHODS AND RESULTS Structured TTE report data at Beth Israel Deaconess Medical Center, 26 January 2000-31 December 2017, were used to determine time to progression (≥1+ increase in severity). TTE predictors of progression were used to create a progression score, externally validated at Massachusetts General Hospital, 1 January 2002-31 December 2019. In the derivation sample (MR, N = 34 933; TR, N = 27 526), only 5379 (15.4%) individuals with MR and 3630 (13.2%) with TR had progression during a median interquartile range) 9.0 (4.1-13.4) years of follow-up. Despite wide inter-individual variability in progression rates, a score based solely on demographics and TTE variables identified individuals with a five- to six-fold higher rate of MR/TR progression over 10 years (high- vs. low-score tertile, rate of progression; MR 20.1% vs. 3.3%; TR 21.2% vs. 4.4%). Compared to those in the lowest score tertile, those in the highest tertile of progression had a four-fold increased risk of mortality. On external validation, the score demonstrated similar performance to other algorithms commonly in use. CONCLUSION Four-fifths of individuals had no progression of MR or TR over two decades. Despite wide interindividual variability in progression rates, a score, based solely on TTE parameters, identified individuals with a five- to six-fold higher rate of MR/TR progression. Compared to the lowest tertile, individuals in the highest score tertile had a four-fold increased risk of mortality. Prediction of long-term MR/TR progression is not only feasible but prognostically important.
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Affiliation(s)
- Jordan B Strom
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, 375 Longwood Avenue, 4th floor, Boston, MA 02215, USA.,Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Yuansong Zhao
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, 375 Longwood Avenue, 4th floor, Boston, MA 02215, USA.,Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Changyu Shen
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, 375 Longwood Avenue, 4th floor, Boston, MA 02215, USA.,Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Jason H Wasfy
- Harvard Medical School, Boston, MA, USA.,Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jiaman Xu
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, 375 Longwood Avenue, 4th floor, Boston, MA 02215, USA.,Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Evin Yucel
- Harvard Medical School, Boston, MA, USA.,Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Varsha Tanguturi
- Harvard Medical School, Boston, MA, USA.,Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Patrick M Hyland
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, 375 Longwood Avenue, 4th floor, Boston, MA 02215, USA.,Harvard Medical School, Boston, MA, USA
| | - Lawrence J Markson
- Harvard Medical School, Boston, MA, USA.,Information Systems, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Dhruv S Kazi
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, 375 Longwood Avenue, 4th floor, Boston, MA 02215, USA.,Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Jinghan Cui
- Harvard Medical School, Boston, MA, USA.,Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Judy Hung
- Harvard Medical School, Boston, MA, USA.,Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Robert W Yeh
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, 375 Longwood Avenue, 4th floor, Boston, MA 02215, USA.,Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Warren J Manning
- Cardiovascular Division, Department of Medicine, Beth Israel Deaconess Medical Center, 375 Longwood Avenue, 4th floor, Boston, MA 02215, USA.,Harvard Medical School, Boston, MA, USA.,Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
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28
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Escribe C, Eisenstat SA, Palamara K, O'Donnell WJ, Wasfy JH, Del Carmen MG, Lehrhoff SR, Bravard MA, Levi R. Understanding Physician Work and Well-being Through Social Network Modeling Using Electronic Health Record Data: a Cohort Study. J Gen Intern Med 2022; 37:3789-3796. [PMID: 35091916 PMCID: PMC9640486 DOI: 10.1007/s11606-021-07351-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 12/15/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Understanding association between factors related to clinical work environment and well-being can inform strategies to improve physicians' work experience. OBJECTIVE To model and quantify what drivers of work composition, team structure, and dynamics are associated with well-being. DESIGN Utilizing social network modeling, this cohort study of physicians in an academic health center examined inbasket messaging data from 2018 to 2019 to identify work composition, team structure, and dynamics features. Indicators from a survey in 2019 were used as dependent variables to identify factors predictive of well-being. PARTICIPANTS EHR data available for 188 physicians and their care teams from 18 primary care practices; survey data available for 163/188 physicians. MAIN MEASURES Area under the receiver operating characteristic curve (AUC) of logistic regression models to predict well-being dependent variables was assessed out-of-sample. KEY RESULTS The mean AUC of the model for the dependent variables of emotional exhaustion, vigor, and professional fulfillment was, respectively, 0.665 (SD 0.085), 0.700 (SD 0.082), and 0.669 (SD 0.082). Predictors associated with decreased well-being included physician centrality within support team (OR 3.90, 95% CI 1.28-11.97, P=0.01) and share of messages related to scheduling (OR 1.10, 95% CI 1.03-1.17, P=0.003). Predictors associated with increased well-being included higher number of medical assistants within close support team (OR 0.91, 95% CI 0.83-0.99, P=0.05), nurse-centered message writing practices (OR 0.89, 95% CI 0.83-0.95, P=0.001), and share of messages related to ambiguous diagnosis (OR 0.92, 95% CI 0.87-0.98, P=0.01). CONCLUSIONS Through integration of EHR data with social network modeling, the analysis highlights new characteristics of care team structure and dynamics that are associated with physician well-being. This quantitative methodology can be utilized to assess in a refined data-driven way the impact of organizational changes to improve well-being through optimizing team dynamics and work composition.
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Affiliation(s)
- Célia Escribe
- Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Stephanie A Eisenstat
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kerri Palamara
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Walter J O'Donnell
- Harvard Medical School, Boston, MA, USA
- Pulmonary/Critical Care Division, Massachusetts General Hospital, Boston, MA, USA
| | - Jason H Wasfy
- Harvard Medical School, Boston, MA, USA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Marcela G Del Carmen
- Harvard Medical School, Boston, MA, USA
- Division of Gynecologic Oncology, Massachusetts General Hospital, Boston, MA, USA
| | | | - Marjory A Bravard
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Retsef Levi
- Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA.
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29
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Begin AS, Hidrue MK, Lehrhoff S, Lennes IT, Armstrong K, Weilburg JB, del Carmen MG, Wasfy JH. Association of Self-reported Primary Care Physician Tolerance for Uncertainty With Variations in Resource Use and Patient Experience. JAMA Netw Open 2022; 5:e2229521. [PMID: 36048444 PMCID: PMC9437748 DOI: 10.1001/jamanetworkopen.2022.29521] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
IMPORTANCE Inappropriate variations in clinical practice are a known cause of poor quality and safety, with variations often associated with nonclinical factors, such as individual differences in cognitive processing. The differential response of physicians to uncertainty may explain some of the variations in resource use and patient experience. OBJECTIVE To examine the association of physician tolerance for uncertainty with variations in resource use and patient experience. DESIGN, SETTING, AND PARTICIPANTS This survey study linked physician survey data (May to June 2019), patient experience survey data (January 2016 to December 2019), and billing data (January 2019 to December 2019) among primary care physicians (PCPs) at Massachusetts General Hospital with at least 10 visits in 2019. The statistical analysis was performed in 2021. MAIN OUTCOMES AND MEASURES The analysis examined associations of PCP tolerance for uncertainty with the tendency to order diagnostic tests, the frequency of outpatient visits, hospital admissions, emergency department visits, and patient experience data (focused on physician communication and overall rating). A 2-stage hierarchical framework was used to account for clustering of patients under PCPs. Binary outcomes were modeled using a hierarchical logistic model, and count outcomes were modeled using hierarchical Poisson or negative binomial models. The analysis was adjusted for patient demographic variables (age, sex, and race and ethnicity), socioeconomic factors (payer and neighborhood income), and clinical comorbidities. RESULTS Of 217 included physicians, 137 (63.1%) were women, and 174 (80.2%) were adult PCPs. A total of 62 physicians (28.6%) reported low tolerance, 59 (27.2%) reported medium tolerance, and 96 (44.2%) reported high tolerance for uncertainty. Physicians with a low tolerance for uncertainty were less likely to order complete blood cell counts (odds ratio [OR], 0.66; 95% CI, 0.50-0.88), thyroid tests (OR, 0.67; 95% CI, 0.52-0.88), a basic metabolic profile (OR, 0.78; 95% CI, 0.60-1.00), and liver function tests (OR, 0.72; 95% CI, 0.53-0.99) than physicians with a high tolerance for uncertainty. Physicians who reported higher tolerance for uncertainty were more likely to receive higher patient experience scores for listening to patients carefully (OR, 0.65; 95% CI, 0.50-0.83) and higher overall ratings (OR, 0.80; 95% CI, 0.66-0.98) than physicians with medium tolerance. Conversely, no association was found between physician tolerance for uncertainty and patient outpatient visits, hospital admissions, or emergency department visits. CONCLUSIONS AND RELEVANCE In clinical practice, identifying and effectively managing inappropriate variations and improving patient experience have proven to be difficult, despite increased attention to these issues. This study supports the hypothesis that physicians' tolerance for uncertainty is associated with differences in resource use and patient experience. Whether enhancing physicians' tolerance for uncertainty could help reduce unwarranted practice variations, improve quality and patient safety, and improve patient's experience remains to be established.
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Affiliation(s)
- Arabella S. Begin
- Department of Medicine, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | | | - Sara Lehrhoff
- Massachusetts General Physicians Organization, Boston
| | | | - Katrina Armstrong
- Department of Medicine, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
- Columbia University Irving Medical Center, New York, New York
| | - Jeffrey B. Weilburg
- Massachusetts General Physicians Organization, Boston
- Department of Psychiatry, Massachusetts General Hospital, Boston
| | - Marcela G. del Carmen
- Harvard Medical School, Boston, Massachusetts
- Massachusetts General Physicians Organization, Boston
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology and Reproductive Biology, Massachusetts General Hospital, Boston
| | - Jason H. Wasfy
- Department of Medicine, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston
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30
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Mohebi R, Chen C, Ibrahim NE, McCarthy CP, Gaggin HK, Singer DE, Hyle EP, Wasfy JH, Januzzi JL. Cardiovascular Disease Projections in the United States Based on the 2020 Census Estimates. J Am Coll Cardiol 2022; 80:565-578. [PMID: 35926929 DOI: 10.1016/j.jacc.2022.05.033] [Citation(s) in RCA: 71] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 05/04/2022] [Indexed: 10/16/2022]
Abstract
BACKGROUND Understanding trends in cardiovascular (CV) risk factors and CV disease according to age, sex, race, and ethnicity is important for policy planning and public health interventions. OBJECTIVES The goal of this study was to project the number of people with CV risk factors and disease and further explore sex, race, and ethnical disparities. METHODS The prevalence of CV risk factors (diabetes mellitus, hypertension, dyslipidemia, and obesity) and CV disease (ischemic heart disease, heart failure, myocardial infarction, and stroke) according to age, sex, race, and ethnicity was estimated by using logistic regression models based on 2013-2018 National Health and Nutrition Examination Survey data and further combining them with 2020 U.S. Census projection counts for years 2025-2060. RESULTS By the year 2060, compared with the year 2025, the number of people with diabetes mellitus will increase by 39.3% (39.2 million [M] to 54.6M), hypertension by 27.2% (127.8M to 162.5M), dyslipidemia by 27.5% (98.6M to 125.7M), and obesity by 18.3% (106.3M to 125.7M). Concurrently, projected prevalence will similarly increase compared with 2025 for ischemic heart disease by 31.1% (21.9M to 28.7M), heart failure by 33.0% (9.7M to 12.9M), myocardial infarction by 30.1% (12.3M to 16.0M), and stroke by 34.3% (10.8M to 14.5M). Among White individuals, the prevalence of CV risk factors and disease is projected to decrease, whereas significant increases are projected in racial and ethnic minorities. CONCLUSIONS Large future increases in CV risk factors and CV disease prevalence are projected, disproportionately affecting racial and ethnic minorities. Future health policies and public health efforts should take these results into account to provide quality, affordable, and accessible health care.
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Affiliation(s)
- Reza Mohebi
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Chen Chen
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | | | - Cian P McCarthy
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Hanna K Gaggin
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Daniel E Singer
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA; Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Emily P Hyle
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Jason H Wasfy
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - James L Januzzi
- Massachusetts General Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA; Baim Institute for Clinical Research, Boston, Massachusetts, USA.
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Berman AN, Wasfy JH. Translating Clinical Guidelines Into Care Delivery Innovation: The Importance of Rigorous Methods for Generating Evidence. J Am Heart Assoc 2022; 11:e026677. [PMID: 35766287 PMCID: PMC9333392 DOI: 10.1161/jaha.122.026677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital Harvard Medical School Boston MA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital Harvard Medical School Boston MA
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Wasfy JH, O'Kelly AC. Value-Based Prices Could Establish Common Ground on Heart Failure Drug Pricing and Coverage. J Am Coll Cardiol 2022; 79:2526-2528. [PMID: 35738714 DOI: 10.1016/j.jacc.2022.04.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 04/13/2022] [Indexed: 10/18/2022]
Affiliation(s)
- Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
| | - Anna C O'Kelly
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA. https://twitter.com/annaokellyMD
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Shaw AY, Fiorino AM, Hidrue M, Johnson NY, Miao J, Searl Como J, Spiro A, Cafiero Fonseca ET, Wasfy JH, Arauz Boudreau A. Implementation of a Pediatric Population Health Asthma Program in Academic Medical Center-Affiliated Urban and Suburban Practices. Popul Health Manag 2022; 25:608-615. [PMID: 35666212 DOI: 10.1089/pop.2021.0389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
A tiered pediatric Asthma Population Health Management Program (APHMP), based on evidence-based practices, that differentially targets populations for intervention based on rising risk for high utilization and disease complications was implemented at 6 urban and suburban practices affiliated with an academic medical center. In addition to standard pediatric asthma care, APHMP adds regular administration of the asthma control test (ACT), provider education on performance variation, and monitoring through the electronic health record-based asthma registry. As patients' use of acute health care services and complications increases, APHMP integrates multidisciplinary interventions, including an asthma coach who conducts environmental assessments in addition to addressing social needs, into their primary care. A retrospective cohort study method was used to assess population-level effects on asthma event rates and practice- and provider-level variation from 2017 to 2019. Consistent with well-documented health disparities in pediatric asthma, the analysis demonstrated that patients who were male (odds ratio [OR] = 1.21, 95% confidence interval [CI] = 1.02-1.43), 4-8 years old (OR = 4.91, 95% CI = 3.27-7.37), Spanish speaking (OR = 1.67, 95% CI = 1.54-1.81), from low-income neighborhoods (OR = 1.56, 95% CI = 1.53-2.46), and with ACT <20 (OR = 2.88, 95% CI = 1.97-4.21) had higher odds of having asthma events. Six percent of patients studied were found to be at risk for high health care utilization and disease complications. Study limitations include the absence of a control group, the mixed model data collection approach, and the effects of seasonal variation on asthma events. Future directions include analyzing disease management program outcomes of incorporating an asthma coach into a patient's primary care team and addressing provider-level variation in asthma event rates.
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Affiliation(s)
- Ashley Y Shaw
- Harvard Medical School, Boston, Massachusetts, USA.,Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Anne-Maria Fiorino
- Population Health Management, Performance Analysis and Improvement Department, Massachusetts General Hospital, Massachusetts General Hospital Physicians' Organization, Boston, Massachusetts, USA
| | - Michael Hidrue
- Massachusetts General Hospital Physicians' Organization, Boston, Massachusetts, USA
| | - Natalie Y Johnson
- Office of Equity and Community Health, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Joanne Miao
- Population Health Management, Performance Analysis and Improvement Department, Massachusetts General Hospital, Massachusetts General Hospital Physicians' Organization, Boston, Massachusetts, USA
| | - Jennifer Searl Como
- Population Health Management, Performance Analysis and Improvement Department, Massachusetts General Hospital, Massachusetts General Hospital Physicians' Organization, Boston, Massachusetts, USA
| | - Anna Spiro
- Community Health Improvement, Massachusetts General Hospital Chelsea Health Center, Chelsea, Massachusetts, USA
| | - Elizabeth T Cafiero Fonseca
- Population Health Management, Performance Analysis and Improvement Department, Massachusetts General Hospital, Massachusetts General Hospital Physicians' Organization, Boston, Massachusetts, USA
| | - Jason H Wasfy
- Harvard Medical School, Boston, Massachusetts, USA.,Population Health Management, Performance Analysis and Improvement Department, Massachusetts General Hospital, Massachusetts General Hospital Physicians' Organization, Boston, Massachusetts, USA.,Massachusetts General Hospital Physicians' Organization, Boston, Massachusetts, USA.,Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Alexy Arauz Boudreau
- Harvard Medical School, Boston, Massachusetts, USA.,Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts, USA
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Ortega MV, Del Carmen MG, Wakamatsu M, Goldstein SA, Siegal-Botti E, Wasfy JH. Asynchronous telehealth visits for the treatment of overactive bladder. Menopause 2022; 29:723-727. [PMID: 35674652 DOI: 10.1097/gme.0000000000001957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Overactive bladder affects 17% of women, and adherence to treatment is notoriously low. The objective of this pilot study is to investigate the efficacy and feasibility of the use of asynchronous telehealth visits for the treatment of women with overactive bladder. METHODS This is a pilot study of women who participated in the asynchronous telehealth program with a new diagnosis of overactive bladder presenting to the Massachusetts General Hospital from January of 2020 to March of 2021. Pre-post differences in Urogenital Distress Inventory score-6, and Incontinence Severity Index Scores were compared with paired t tests as coprimary endpoints. To assess potential mechanisms of association between asynchronous visits and patient-reported outcomes, total fluid intake, caffeinated beverage consumption, urinary frequency, episodes of urinary leakage were also compared as secondary endpoints. RESULTS A total of 23 women participated, with 50 e-visits completed. The first asynchronous visit was completed after a median of 42days (IQR 36, 51.5) from the initial visit. There was a decrease in the Urogenital Distress Inventory-6 score between the first asynchronous visit and the last (29 points, IQR 16, 37 vs 12 points, IQR 12, 25), respectively (P = 0.014). Similar findings were seen with the Incontinence Severity Index questionnaire, from three (IQR 2, 4) to three (IQR 1, 3) after the asynchronous visit (P = 0.002). CONCLUSION We demonstrate the feasibility of asynchronous visits for the treatment of overactive bladder. Although our results suggest efficacy, given the prepost change in overactive bladder-related questionnaire scores following asynchronous visits, the comparative effectiveness of asynchronous visits versus regular care needs to be confirmed in a randomized trial.
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Affiliation(s)
- Marcus V Ortega
- Massachusetts General Physicians Organization, Boston, MA
- Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Marcela G Del Carmen
- Massachusetts General Physicians Organization, Boston, MA
- Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - May Wakamatsu
- Division of Female Pelvic Medicine and Reconstructive Surgery, Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Susan A Goldstein
- Performance Performance Analysis and Improvement Unit, Massachusetts General Hospital, Boston, MA
| | - Eirian Siegal-Botti
- Performance Performance Analysis and Improvement Unit, Massachusetts General Hospital, Boston, MA
| | - Jason H Wasfy
- Massachusetts General Physicians Organization, Boston, MA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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Begin AS, Hidrue M, Lehrhoff S, Del Carmen MG, Armstrong K, Wasfy JH. Factors Associated with Physician Tolerance of Uncertainty: an Observational Study. J Gen Intern Med 2022; 37:1415-1421. [PMID: 33904030 PMCID: PMC8074695 DOI: 10.1007/s11606-021-06776-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 03/29/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Physicians need to learn and work amidst a plethora of uncertainties, which may drive burnout. Understanding differences in tolerance of uncertainty is an important research area. OBJECTIVE To examine factors associated with tolerance of uncertainty, including well-being metrics such as burnout. DESIGN Online confidential survey. SETTING The Massachusetts General Physicians Organization (MGPO). PARTICIPANTS All 2172 clinically active faculty in the MGPO. MAIN MEASURES We examined associations for tolerance of uncertainty with demographic information, personal and professional characteristics, and physician well-being metrics. KEY RESULTS Two thousand twenty (93%) physicians responded. Multivariable analyses identified significant associations of lower tolerance of uncertainty with female gender (OR, 1.23; 95% CI, 1.03-1.48); primary care practice (OR, 1.56; 95% CI, 1.22-2.00); years since training (OR, 0.99; 95% CI, 0.98-0.995); and lacking a trusted advisor (OR, 1.25; 95% CI, 1.03-1.53). Adjusting for demographic and professional characteristics, physicians with low tolerance of uncertainty had higher likelihood of being burned-out (OR, 3.06; 95% CI, 2.41-3.88), were less likely to be satisfied with career (OR, 0.37; 95% CI, 0.26-0.52), and less likely to be engaged at work (RR, 0.87; 95% CI, 0.84-0.90). CONCLUSION At a time when concern about physician well-being is high, with much speculation about causes of burnout, we found a strong relationship between tolerance of uncertainty and physician well-being, across specialties. Particular attention likely needs to be paid to those with less experience, those in specialties with high rates of undifferentiated illness and uncertainty, such as primary care, and ensuring all physicians have access to a trusted advisor. These results generate the potential hypothesis that efforts focused in understanding and embracing uncertainty could be potentially effective for reducing burnout. This concept should be tested in prospective trials.
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Affiliation(s)
- Arabella Simpkin Begin
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA. .,Harvard Medical School, Boston, MA, USA. .,Department of Pharmacology, University of Oxford, Oxford, UK. .,Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
| | - Michael Hidrue
- Massachusetts General Physicians Organization, Boston, USA
| | - Sara Lehrhoff
- Massachusetts General Physicians Organization, Boston, USA
| | - Marcela G Del Carmen
- Harvard Medical School, Boston, MA, USA.,Massachusetts General Physicians Organization, Boston, USA.,Division of Gynecologic Oncology, Department of Obstetrics and Gynecology and Reproductive Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Katrina Armstrong
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Jason H Wasfy
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
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36
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Borden WB, Wang J, Jones P, Tang Y, Contreras J, Daugherty SL, Desai NR, Virani SS, Wasfy JH, Maddox TM. Reducing Cardiovascular Risk in the Medicare Million Hearts Risk Reduction Model: Insights From the National Cardiovascular Data Registry PINNACLE Registry. Circ Cardiovasc Qual Outcomes 2022; 15:e007908. [PMID: 35272505 PMCID: PMC9187962 DOI: 10.1161/circoutcomes.121.007908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND The Million Hearts Cardiovascular Disease Risk Reduction Model provides financial incentives for practices to lower 10-year atherosclerotic cardiovascular disease (ASCVD) risk for high-risk (ASCVD ≥30%) Medicare patients. To estimate average practice-level ASCVD risk reduction, we applied optimal trial outcomes to a real-world population with high ASCVD risk. METHODS This study uses observational registry data from the National Cardiovascular Data Registry Practice Innovation and Clinical Excellence Registry from January 2013 to June 2016. We modeled ASCVD risk reductions using historical clinical trial data (reducing cholesterol by 26.5%, reducing systolic blood pressure by 10.9%, reducing smoking rates by 21.8%) the average reduction in ASCVD risk associated with individual and combined risk factor modifications, and then percentage of practices achieving the various incentive thresholds for the Million Hearts Model. RESULTS The final study population included 135 166 patients, with 16 248 (12.0%) with 10-year ASCVD risk of ≥30%, but without existing ASCVD. The mean 10-year ASCVD risk was 41.9% (±1 SD of 11.6). Using risk factor reductions from clinical trials, lowering cholesterol, blood pressure, and smoking rates reduced 10-year ASCVD risk by 3.3% (±3.1), 6.3% (±1.1) and 0.5% (±1.3), respectively. Combining all 3 reductions resulted in a 9.7% (±3.6) reduction, with 67 (27.0%) of practices achieving a patient-level average 10-year ASCVD risk reduction of ≥10%, 181 (73.0%) achieving a 2 to 10% reduction, and no practice achieving <2% reduction. CONCLUSIONS In cardiology practices, about 1 out of 8 patients have a 10-year ASCVD risk ≥30% and qualify as high risk in the Million Hearts Model. If practices target the three main modifiable risk factors and achieve reductions similar to clinical trial results, ASCVD risk could be substantially lowered and all practices could receive incentive payments. These findings support the potential benefit of the Million Hearts Model and provide guidance to participating practices.
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Affiliation(s)
| | - Jingyan Wang
- University of Texas Health Science Center, Houston (J.W.)
| | - Philip Jones
- Saint Luke's Mid America Heart Institute and University of Missouri-Kansas City School of Medicine, Kansas City (P.J.)
| | | | | | | | | | - Salim S Virani
- Michael E. DeBakey Veterans Affairs Medical Center & Baylor College of Medicine, Houston, TX (S.S.V.)
| | | | - Thomas M Maddox
- Washington University School of Medicine, St. Louis, MO (T.M.M.)
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Ghoneem A, Osborne MT, Abohashem S, Naddaf N, Patrich T, Dar T, Abdelbaky A, Al-Quthami A, Wasfy JH, Armstrong KA, Ay H, Tawakol A. Association of Socioeconomic Status and Infarct Volume With Functional Outcome in Patients With Ischemic Stroke. JAMA Netw Open 2022; 5:e229178. [PMID: 35476065 PMCID: PMC9047646 DOI: 10.1001/jamanetworkopen.2022.9178] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
IMPORTANCE Long-term disability after stroke is associated with socioeconomic status (SES). However, the reasons for such disparities in outcomes remain unclear. OBJECTIVE To assess whether lower SES is associated with larger admission infarct volume and whether initial infarct volume accounts for the association between SES and long-term disability. DESIGN, SETTING, AND PARTICIPANTS This cohort study was conducted in a prospective, consecutive population (n = 1256) presenting with acute ischemic stroke who underwent magnetic resonance imaging (MRI) within 24 hours of admission. Patients were recruited in Massachusetts General Hospital, Boston, from May 31, 2009, to December 31, 2011. Data were analyzed from May 1, 2019, until June 30, 2020. MAIN OUTCOMES AND MEASURES Initial stroke severity (within 24 hours of presentation) was determined using clinical (National Institutes of Health Stroke Scale [NIHSS]) and imaging (infarct volume by diffusion-weighted MRI) measures. Stroke etiologic subtypes were determined using the Causative Classification of Ischemic Stroke algorithm. Long-term stroke disability was measured using the modified Rankin Scale. Socioeconomic status was estimated using zip code-derived median household income and census block group-derived area deprivation index (ADI). Regression and mediation analyses were performed. RESULTS A total of 1098 patients had imaging and SES data available (mean [SD] age, 68.1 [15.7] years; 607 men [55.3%]). Income was inversely associated with initial infarct volume (standardized β, -0.074 [95% CI, -0.127 to -0.020]; P = .007), initial NIHSS (standardized β, -0.113 [95% CI, -0.171 to -0.054]; P < .001), and long-term disability (standardized β, -0.092 [95% CI, -0.149 to -0.035]; P = .001), which remained significant after multivariable adjustments. Initial stroke severity accounted for 64% of the association between SES and long-term disability (standardized β, -0.063 [95% CI, -0.095 to -0.029]; P < .05). Findings were similar when SES was alternatively assessed using ADI. CONCLUSIONS AND RELEVANCE The findings of this cohort study suggest that lower SES is associated with larger infarct volumes on presentation. These SES-associated differences in initial stroke severity accounted for most of the subsequent disparities in long-term disability in this study. These findings shift the culpability for SES-associated disparities in poststroke disability from poststroke factors to those that precede presentation.
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Affiliation(s)
- Ahmed Ghoneem
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Michael T. Osborne
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Shady Abohashem
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Nicki Naddaf
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Tomas Patrich
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Tawseef Dar
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Amr Abdelbaky
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Adeeb Al-Quthami
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Jason H. Wasfy
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Katrina A. Armstrong
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Hakan Ay
- Anithoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston
- Takeda Pharmaceutical Company Limited, Cambridge, Massachusetts
| | - Ahmed Tawakol
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston
- Cardiology Division, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
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Thomas EG, Braun D, Kioumourtzoglou MA, Trippa L, Wasfy JH, Dominici F. A Bayesian Multi-Outcome Analysis of Fine Particulate Matter and Cardiorespiratory Hospitalizations. Epidemiology 2022; 33:176-184. [PMID: 35104259 PMCID: PMC8852365 DOI: 10.1097/ede.0000000000001456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Short-term fine particulate matter (PM2.5) exposure is positively associated with acute cardiovascular and respiratory events. Understanding whether this association varies across specific cardiovascular and respiratory conditions has important biologic, clinical, and public health implications. METHODS We conducted a time-stratified case-crossover study of hospitalizations from 2000 through 2014 among United States Medicare beneficiaries aged 65+. The outcomes were hospitalizations with any of 57 cardiovascular and 32 respiratory discharge diagnoses. We estimated associations with two-day moving average PM2.5 as a piecewise linear term with a knot at PM2.5 = 25 g/m3. We used Multi-Outcome Regression with Tree-structured Shrinkage (MOReTreeS) to identify de novo groups of related diseases such that PM2.5 associations are: (1) similar within outcome groups; but (2) different between outcome groups. We adjusted for temperature, humidity, and individual-level characteristics. We introduce an R package, moretrees. RESULTS Our dataset included 16,007,293 cardiovascular and 8,690,837 respiratory hospitalizations. Of 57 cardiovascular diseases, 51 were grouped and positively associated with PM2.5. We observed a stronger positive association for heart failure, which formed a separate group. We observed negative associations for groups containing the outcomes other aneurysm and intracranial hemorrhage. Of 32 respiratory outcomes, 31 were grouped and were positively associated with PM2.5. Influenza formed a separate group with a negative association. CONCLUSIONS We used a new statistical approach, MOReTreeS, to uncover variation in the association between short-term PM2.5 exposure and hospitalizations for cardiovascular and respiratory causes controlling for patient characteristics, time trends, and environmental confounders.
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Affiliation(s)
| | - Danielle Braun
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Lorenzo Trippa
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Francesca Dominici
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Data Science Initiative, Cambridge, MA, USA
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Mohebi R, Chen C, McCarthy CP, Gaggin HK, Singer DE, Hyle EP, Wasfy JH, Januzzi JL. FORECASTING TRENDS IN CARDIOMETABOLIC RISK FACTORS IN THE UNITED STATES: ESTIMATES BASED ON THE 2020 CENSUS. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)02498-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Beinfeld M, Wasfy JH, Walton S, Sarker J, Nhan E, Rind DM, Pearson SD. Mavacamten for hypertrophic cardiomyopathy: effectiveness and value. J Manag Care Spec Pharm 2022; 28:369-375. [PMID: 35199575 PMCID: PMC10372974 DOI: 10.18553/jmcp.2022.28.3.369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
DISCLOSURES: Funding for this summary was contributed by Arnold Ventures, The Donaghue Foundation, Harvard Pilgrim Health Care, and Kaiser Foundation Health Plan to the Institute for Clinical and Economic Review (ICER), an independent organization that evaluates the evidence on the value of health care interventions. ICER's annual policy summit is supported by dues from AbbVie, America's Health Insurance Plans, Anthem, Alnylam, AstraZeneca, Biogen, Blue Shield of CA, Boehringer-Ingelheim, Cambia Health Services, CVS, Editas, Evolve Pharmacy, Express Scripts, Genentech/Roche, GlaxoSmithKline, Harvard Pilgrim, Health Care Service Corporation, HealthFirst, Health Partners, Humana, Johnson & Johnson (Janssen), Kaiser Permanente, LEO Pharma, Mallinckrodt, Merck, Novartis, National Pharmaceutical Council, Pfizer, Premera, Prime Therapeutics, Regeneron, Sanofi, Sun Life Financial, uniQure, and United Healthcare. Beinfeld, Nhan, Rind, and Pearson are employed by ICER. Through their affiliated institutions, Wasfy, Walton, and Sarker received funding from ICER for the work described in this summary. Walton also reports consulting fees from Second City Outcomes Research. Wasfy reports personal fees from Biotronik and Pfizer; grants from National Institutes of Health, National Football League Players Association and American Heart Association; and travel support from American College of Cardiology. Sarker has nothing additional to disclose.
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Affiliation(s)
| | - Jason H Wasfy
- Massachusetts General Hospital and Harvard Medical School, Boston, MA
| | - Surrey Walton
- University of Illinois at Chicago College of Pharmacy, Chicago, IL
| | - Jyotirmoy Sarker
- University of Illinois at Chicago College of Pharmacy, Chicago, IL
| | - Emily Nhan
- Institute for Clinical and Economic Review, Boston, MA
| | - David M Rind
- Institute for Clinical and Economic Review, Boston, MA
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Jiang GY, Kearing SA, Wadhera R, Gavin MC, Wasfy JH, Gilstrap LG. INTRAVENOUS DIURETIC ADMINISTRATION IN ALTERNATIVE CARE SETTINGS FOR THE MANAGEMENT OF HEART FAILURE: 30 DAY OUTCOMES. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)01448-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Jiang GY, Kearing SA, Wadhera R, Gavin MC, Wasfy JH, Gilstrap LG. INTRAVENOUS DIURETIC ADMINISTRATION IN ALTERNATIVE CARE SETTINGS FOR THE MANAGEMENT OF HEART FAILURE: PATTERNS OF USE. J Am Coll Cardiol 2022. [DOI: 10.1016/s0735-1097(22)01441-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Jiang GY, Wasfy JH. Insurance Expansion as a Policy Tool to Reduce Pregnancy-Related Maternal Cardiovascular Mortality. Circ Cardiovasc Qual Outcomes 2022; 15:e008578. [PMID: 35041474 DOI: 10.1161/circoutcomes.121.008578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Ginger Y Jiang
- Cardiology Division, Department of Medicine, Beth Israel Deaconess Medical Center (G.Y.J.), Harvard Medical School, Boston, MA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital (J.H.W.), Harvard Medical School, Boston, MA
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Sparrow RT, Sanjoy SS, Lindman BR, Tang GHL, Kaneko T, Wasfy JH, Pershad A, Villablanca PA, Guerrero M, Alraies MC, Choi YH, Sposato LA, Mamas MA, Bagur R. Racial, ethnic and socioeconomic disparities in patients undergoing transcatheter mitral edge-to-edge repair. Int J Cardiol 2021; 344:73-81. [PMID: 34555446 DOI: 10.1016/j.ijcard.2021.09.037] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/09/2021] [Accepted: 09/17/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Transcatheter mitral edge-to-edge repair (TEER) is an increasingly common procedure performed on patients with severe mitral regurgitation. This study assessed the impact of race/ethnicity and socioeconomic status on in-hospital complications after TEER. METHODS Cohort-based observational study using the National Inpatient Sample between October 2013 and December 2018. The population was stratified into 4 groups based on race/ethnicity and quartiles of neighborhood income levels. The primary outcome was in-hospital complications, defined as the composite of death, bleeding, cardiac and vascular complications, acute kidney injury, and ischemic stroke. RESULTS 3795 hospitalizations for TEER were identified. Patients of Black and Hispanic race/ethnicity comprised 7.4% and 6.4%, respectively. We estimated that White patients received TEER with a frequency of 38.0/100,000, compared to 29.7/100,000 for Blacks and 30.5/100,000 for Hispanics. In-hospital complications occurred in 20.2% of patients and no differences were found between racial/ethnic groups (P = 0.06). After multilevel modelling, Black and Hispanic patients had similar rate of overall in-hospital complications (OR: 0.84, CI:0.67-1.05 and OR: 0.84, CI:0.66-1.07, respectively) as compared to White patients, however, higher rates of death were observed in Black patients. Individuals living in income quartile-1 had worse in-hospital outcomes as compared to quartile-4 (OR: 1.19, CI:0.99-1.42). CONCLUSION In this study assessing racial/ethnic disparities in TEER outcomes, aged-adjusted race/ethnicity minorities were less underrepresented as compared to other structural heart interventions. Black patients experienced a higher rate of in-hospital death, but similar overall rate of post-procedural adverse events as compared to White patients. Lower income levels appear to negatively impact on in-hospital outcomes. BRIEF SUMMARY This study appraises race/ethnic and socioeconomical disparities in access and outcomes following transcatheter mitral edge-to-edge repair. Racial minority groups were less underrepresented as compared to other structural heart interventions. While Black patients experienced a higher rate of in-hospital death, they experienced similar overall rate of post-procedural complications compared to White patients. Lower income levels also appeared to negatively impact on outcomes.
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Affiliation(s)
| | - Shubrandu S Sanjoy
- Research Department, Saskatchewan Health Authority, Regina, Saskatchewan, Canada
| | - Brian R Lindman
- Cardiovascular Medicine Division, Structural Heart and Valve Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gilbert H L Tang
- Department of Cardiovascular Surgery, Mount Sinai Health System, New York, NY, USA
| | - Tsuyoshi Kaneko
- Division of Cardiac Surgery, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ashish Pershad
- University of Arizona College of Medicine, Phoenix, AZ, USA
| | - Pedro A Villablanca
- Center for Structural Heart Disease, Henry Ford Health System, Detroit, MI, USA
| | - Mayra Guerrero
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - M Chadi Alraies
- Wayne State University, Detroit Medical Center, Detroit, MI, USA
| | - Yun-Hee Choi
- Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Luciano A Sposato
- London Health Sciences Centre, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Department of Clinical Neurological Sciences; Stroke, Dementia & Heart Disease Laboratory; Kathleen and Dr. Henry Barnett Chair in Stroke Research; Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute of Primary Care and Health Sciences, Keele University, Stoke-on-Trent, United Kingdom
| | - Rodrigo Bagur
- London Health Sciences Centre, London, Ontario, Canada; Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada; Keele Cardiovascular Research Group, Centre for Prognosis Research, Institute of Primary Care and Health Sciences, Keele University, Stoke-on-Trent, United Kingdom.
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45
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Haimovich JS, Cui J, Yeh RW, Ferris TG, Hsu J, Wasfy JH. Expansion of insurance under the affordable care act and invasive management of acute myocardial infarction. Cardiovasc Revasc Med 2021; 39:90-96. [PMID: 34756520 DOI: 10.1016/j.carrev.2021.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 11/03/2022]
Abstract
BACKGROUND The Affordable Care Act of 2010 extended health insurance through expansion of Medicaid and subsidies for commercial insurance. Prior work has produced differing results in associating expanded insurance with improvements in health care processes and outcomes. Evaluating specific mechanisms of care processes and their association with insurance expansion may help reconcile those results. METHODS AND RESULTS We used inpatient hospitalization data in the Nationwide Inpatient Sample (NIS) Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality from 1/1/2008 to 9/30/2015. We included all hospitalizations for acute myocardial infarction (AMI). As a primary outcome, we defined percent rate of AMI hospitalizations receiving percutaneous coronary intervention (PCI) per month. In the non-Medicare (intervention) group, there was a relative decrease of 0.2% of the monthly trend before and after expansion (95% CI [-0.3%, -0.1%]). In the Medicare group, there was a relative decrease of 0.1% of the monthly trend before and after expansion (95% CI [-0.2%, 0%]). CONCLUSIONS We did not detect a relative difference in PCI for AMI associated with insurance expansion under health reform.
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Affiliation(s)
- Julian S Haimovich
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jinghan Cui
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert W Yeh
- Department of Medicine, Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Timothy G Ferris
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Massachusetts General Physicians Organization, Boston, MA, USA
| | - John Hsu
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Massachusetts General Physicians Organization, Boston, MA, USA.
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Begin AS, Del Carmen MG, Wasfy JH. In Response: Physician Tolerance of Uncertainty. J Gen Intern Med 2021; 36:3237. [PMID: 34357578 PMCID: PMC8481399 DOI: 10.1007/s11606-021-06992-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 06/16/2021] [Indexed: 11/25/2022]
Affiliation(s)
- Arabella Simpkin Begin
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Pharmacology, University of Oxford, Oxford, UK.
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
| | - Marcela G Del Carmen
- Harvard Medical School, Boston, MA, USA
- Massachusetts General Physicians Organization, Boston, MA, USA
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology and Reproductive Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Jason H Wasfy
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
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Kratka AK, Britton KA, Thompson RW, Wasfy JH. National Hospital Initiatives to Improve Performance on Heart Failure Readmission Metrics. Cardiovascular Revascularization Medicine 2021; 31:78-82. [DOI: 10.1016/j.carrev.2020.12.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 11/24/2020] [Accepted: 12/10/2020] [Indexed: 10/22/2022]
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McCarthy CP, Kolte D, Kennedy KF, Pandey A, Raber I, Oseran A, Wadhera RK, Vaduganathan M, Januzzi JL, Wasfy JH. Hospitalizations and Outcomes of T1MI Observed Before and After the Introduction of MI Subtype Codes. J Am Coll Cardiol 2021; 78:1242-1253. [PMID: 34531025 DOI: 10.1016/j.jacc.2021.07.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 07/08/2021] [Accepted: 07/19/2021] [Indexed: 01/10/2023]
Abstract
BACKGROUND International Classification of Disease (ICD)-10 coding of type 1 myocardial infarction (MI) is used for reimbursement, value-based programs, and clinical research. OBJECTIVES This study sought to determine whether the introduction of ICD-10 codes for type 2 and types 3-5 MI was associated with changes in hospitalizations for ICD-10 codes now attributed to type 1 MI. METHODS Using the Nationwide Readmissions Database, we identified patients with ICD-10 codes now attributed to type 1 MI between January 2016 and December 2018. Patients were stratified according to the timing of their event in relation to the introduction of the type 2 and types 3-5 MI codes on October 1, 2017. RESULTS There were 2,680,323 hospitalizations for ICD-10 codes now attributed to type 1 MI; after adjustment for seasonality, there was a 13.7% decline in hospitalizations after the introduction of the new subtype codes. Patients with ICD-10 codes now attributed to type 1 MI after the coding change were less likely to be female, had lower prevalence of several cardiovascular and noncardiovascular comorbidities, and had higher rates of coronary angiography and revascularization. After introduction of the new codes, there was a positive deflection in the slope of risk-adjusted in-hospital mortality (0.007%; P <0.001) and a negative deflection in risk-adjusted 30-day readmission (-0.002%; P = 0.05) for patients with ICD-10 codes now attributed to type 1 MI. CONCLUSIONS The introduction of ICD-10 codes for type 2 and types 3-5 MI was associated with a decrease in hospitalizations for ICD-10 codes now attributed to type 1 MI and changes in the observed characteristics and treatment patterns of these patients.
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Affiliation(s)
- Cian P McCarthy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Dhaval Kolte
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Kevin F Kennedy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ambarish Pandey
- Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Inbar Raber
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew Oseran
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Rishi K Wadhera
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA; Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Muthiah Vaduganathan
- Brigham and Women's Hospital Heart and Vascular Center, Harvard Medical School, Boston, Massachusetts, USA
| | - James L Januzzi
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
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McCarthy CP, Jones-O'Connor M, Olshan DS, Murphy S, Rehman S, Cohen JA, Cui J, Singh A, Vaduganathan M, Januzzi JL, Wasfy JH. The Intersection of Type 2 Myocardial Infarction and Heart Failure. J Am Heart Assoc 2021; 10:e020849. [PMID: 34423653 PMCID: PMC8649278 DOI: 10.1161/jaha.121.020849] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background Type 2 myocardial infarction (T2MI) is common and associated with high cardiovascular event rates. However, the relationship between T2MI and heart failure (HF) is uncertain. Methods and Results We identified patients with T2MI at a large tertiary hospital between October 2017 and May 2018. Patient characteristics, causes of T2MI, and subsequent HF hospitalizations were determined by physician chart review. We identified 359 patients with T2MI over the study period; 184 patients had a history of HF. Among patients with ejection fraction (EF) assessment (N=180), the majority had preserved EF (N=107; 59.4%), followed by reduced EF (N=54; 30.0%), and mid‐range EF (N=19; 10.6%). Acute HF was the most common cause of T2MI (20.9%). Of those whose T2MI was precipitated by HF (N=75), the mean EF was 53.0±16.8% and 16 (21.3%) were de novo diagnoses of HF. Among patients with T2MI who were discharged alive with available follow‐up (N=289), 5.5% were hospitalized with acute HF within 30 days, 17.3% within 180 days, and 22.1% within 1 year. In subgroup analyses, among patients with T2MI with prevalent or new HF (N=161), the rate of HF hospitalization at 1 year was 34.2%, considerably higher than those with T2MI and no HF diagnosis at discharge (7.0%; N=9/128). Conclusions Index presentations of HF or worsening chronic HF represent the most common causes of T2MI. ≈1 in 5 patients with T2MI will be readmitted for HF within 1 year of their event. Strategies to prevent HF events after a T2MI are needed.
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Affiliation(s)
- Cian P McCarthy
- Division of Cardiology Department of Medicine Massachusetts General Hospital Boston MA
| | | | - David S Olshan
- Department of Medicine Massachusetts General Hospital Boston MA
| | - Sean Murphy
- Department of Medicine Massachusetts General Hospital Boston MA
| | - Saad Rehman
- Department of Medicine Massachusetts General Hospital Boston MA
| | - Joshua A Cohen
- Division of Cardiology Department of Medicine Cleveland Clinic Cleveland OH
| | - Jinghan Cui
- Division of Cardiology Department of Medicine Massachusetts General Hospital Boston MA
| | | | - Muthiah Vaduganathan
- Brigham and Women's Hospital Heart & Vascular Center Harvard Medical School Boston MA
| | - James L Januzzi
- Division of Cardiology Department of Medicine Massachusetts General Hospital Boston MA
| | - Jason H Wasfy
- Division of Cardiology Department of Medicine Massachusetts General Hospital Boston MA
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50
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Blumenthal DM, Maddox TM, Aragam K, Sacks CA, Virani SS, Wasfy JH. Predictors of PCSK9 (Proprotein Convertase Subtilisin/Kexin Type 9) Inhibitor Prescriptions for Secondary Prevention of Clinical Atherosclerotic Cardiovascular Disease. Circ Cardiovasc Qual Outcomes 2021; 14:e007237. [PMID: 34404223 DOI: 10.1161/circoutcomes.120.007237] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Little is known about patterns of PCSK9i (proprotein convertase subtilisin/kexin type 9 inhibitor) use among patients with established clinical atherosclerotic cardiovascular disease. This study's objective was to describe PCSK9i prescribing patterns among patients with atherosclerotic cardiovascular disease. METHODS We used a national outpatient clinic registry linked to zip-code level on household income from the US Census to assess characteristics of patients with atherosclerotic cardiovascular disease and LDL-C (low-density lipoprotein cholesterol) <190 mg/dL between September 1, 2015, and September 30, 2019, who did and did not receive PCSK9i prescriptions and practice-level and temporal variation in PCSK9i prescriptions. We assessed predictors of PCSK9i prescription with a multivariable mixed effects regression model which included patient covariates as fixed effects and the cardiology practice as a random effect. Adjusted practice-level variation in PCSK9i prescribing was evaluated with median odds ratio (OR). RESULTS Of 2 148 100 patients meeting study inclusion criteria, 27 249 (1.3%) received PCSK9i prescriptions. Receiving a PCSK9i prescription was associated with White race (versus non-White: OR, 1.78 [95% CI, 1.55-1.83]); high estimated household income (versus low income: OR, 1.18 [95% CI, 1.08-1.29]), and urban or suburban (versus rural) practice location (urban: OR, 1.47 [95% CI, 1.32-1.64]; suburban: OR, 1.25 [95% CI, 1.13-1.39]). Hispanics had lower odds of receiving PCSK9i prescriptions (OR, 0.66 [95% CI, 0.57-0.76]). The adjusted median odds ratio was 2.68 (95% CI, 2.46-2.94), consistent with clinically significant practice-level variation in PCSK9i prescriptions. No differences in quarterly PCSK9i prescription rates were observed before and after price reductions for evolocumab and alirocumab initiated during the fourth quarter of 2018 and first quarter of 2019, respectively. CONCLUSIONS This study highlights racial, socioeconomic, geographic, and practice-level variations in early PCSK9i prescriptions which persist despite adjustment for clinical and demographic factors. After adjustment, 2 randomly selected practices would differ in likelihood of PCSK9i prescription by a factor of >2.
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Affiliation(s)
- Daniel M Blumenthal
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA (D.M.B., K.A., J.H.W.).,Harvard Medical School, Boston, MA (D.M.B., K.A., C.A.S., J.H.W.)
| | - Thomas M Maddox
- Division of Cardiology, Washington University School of Medicine, St. Louis, MO (T.M.M.).,Healthcare Innovation Lab, BJC HealthCare/Washington University School of Medicine, St. Louis, MO (T.M.M.)
| | - Krishna Aragam
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA (D.M.B., K.A., J.H.W.).,Harvard Medical School, Boston, MA (D.M.B., K.A., C.A.S., J.H.W.).,Broad Institute, Cambridge, MA (K.A.)
| | - Chana A Sacks
- Harvard Medical School, Boston, MA (D.M.B., K.A., C.A.S., J.H.W.).,Division of General Internal Medicine and Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston (C.A.S.)
| | - Salim S Virani
- Department of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center and Section of Cardiovascular Research, Baylor College of Medicine, Houston, TX (S.S.V.)
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA (D.M.B., K.A., J.H.W.).,Harvard Medical School, Boston, MA (D.M.B., K.A., C.A.S., J.H.W.)
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