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Espinosa CG, Lucas T, Kern LM, Jones CD, Mroz T, Arbaje AI, Ankuda C, Taveras YH, Feldman P, Thompson MP, Sterling MR. Understanding the Perspectives of Key Stakeholders Toward Medicare's Home Health Value-Based Purchasing (HHVBP) in the US. J Am Med Dir Assoc 2024:105203. [PMID: 39142638 DOI: 10.1016/j.jamda.2024.105203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 07/08/2024] [Accepted: 07/09/2024] [Indexed: 08/16/2024]
Abstract
OBJECTIVES This study examines the perspectives of key stakeholders in home health toward Medicare's Home Health Value Based Purchasing (HHVBP) program, piloted among home health agencies (HHAs) in 9 states from 2016 to 2021, and based on initial performance, was expanded to the remaining 41 (nonpilot) states in January 2023. DESIGN We conducted semistructured interviews wherein we inquired participants' views toward and experiences with HHVBP. We used convenience and purposive sampling to obtain diversity in HHA size, geography, and quality. SETTING AND PARTICIPANTS We conducted interviews from July 2022 to May 2023 with HHA leaders, staff, and clinicians, advocacy and trade organization leaders, and policy experts from pilot and nonpilot states. METHODS We used thematic analysis to develop a codebook that included framework-derived, a priori, and inductive codes. We identified key themes and subthemes accordingly. RESULTS Forty-seven stakeholders representing 25 unique organizations participated: 22 (47%) from pilot states and 25 (53%) from nonpilot states; of these, 24 (51%) were HHA leaders, 13 (28%) were organizational leaders, and 10 (21%) were clinicians; 26 (55%) were centered in the Northeast, 9 (19%) in the West, 7 (15%) had a national presence, and 5 (11%) were centered across the South. Four key themes emerged. There were (1) wide variations in awareness, understanding, and attitudes toward HHVBP regardless of pilot status or stakeholder type; (2) concerns about aspects of HHVBP, including consequences for HHAs and patients; (3) a range of strategies used by HHAs to address HHVBP; (4) other concurrent issues that HHAs were navigating alongside HHVBP. CONCLUSIONS AND IMPLICATIONS Despite HHVBP's national implementation, awareness of and attitudes toward HHVBP varied across stakeholders from pilot and nonpilot states, as did efforts to address it. Although some viewed the policy favorably, others were concerned it could negatively impact HHAs and patients. Understanding the experiences of stakeholders is vital for illuminating the intended and unintended consequences of HHVBP policy.
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Affiliation(s)
| | - Taylor Lucas
- New York Presbyterian/Weill Cornell Medical Center, New York, NY
| | - Lisa M Kern
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Christine D Jones
- Division of Hospital Medicine and Division of Geriatrics, University of Colorado Denver - Anschutz Medical Campus, and Rocky Mountain Regional VA Medical Center, Aurora, CO
| | - Tracy Mroz
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA
| | - Alicia I Arbaje
- Division of Geriatric Medicine and Gerontology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Claire Ankuda
- Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | | | - Penny Feldman
- Center for Home Care Policy & Research, VNS Health, New York, NY
| | - Michael P Thompson
- Department of Cardiac Surgery, University of Michigan Medical School, Ann Arbor, MI
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Hoevelmann J, Markwirth P, Tokcan M, Haring B. What's new in heart failure? August-September 2024. Eur J Heart Fail 2024. [PMID: 39058292 DOI: 10.1002/ejhf.3399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Affiliation(s)
- Julian Hoevelmann
- Department of Internal Medicine III, Saarland University Hospital, Homburg, Germany
- Cape Heart Institute, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Philipp Markwirth
- Department of Internal Medicine III, Saarland University Hospital, Homburg, Germany
| | - Mert Tokcan
- Department of Internal Medicine III, Saarland University Hospital, Homburg, Germany
| | - Bernhard Haring
- Department of Internal Medicine III, Saarland University Hospital, Homburg, Germany
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
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Kessler M, Rottbauer W, von Bardeleben RS, Grasso C, Lurz P, Mahoney P, Price M, Williams M, Denti P, Estevez-Loureiro R, Kar S, Maisano F. Impact of heart failure hospitalizations on clinical outcomes after mitral transcatheter edge-to-edge repair: Results from the EXPAND study. Eur J Heart Fail 2024; 26:1495-1503. [PMID: 38726573 DOI: 10.1002/ejhf.3250] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 03/21/2024] [Accepted: 04/09/2024] [Indexed: 07/26/2024] Open
Abstract
AIM This analysis aimed to compare the clinical outcomes associated with heart failure (HF) readmissions and to identify associations with HF hospitalizations (HFH) in patients treated with the MitraClip™ NTR/XTR System in the EXPAND study. METHODS AND RESULTS The global, real-world EXPAND study enrolled 1041 patients with primary or secondary mitral regurgitation (MR) treated with the MitraClip NTR/XTR System. Echocardiograms were analysed by an independent echocardiographic core laboratory. The study population was stratified into HFH and No-HFH groups based on the occurrence of HFH 1 year post-index procedure. Clinical outcomes including MR severity, New York Heart Association (NYHA) functional class, Kansas City Cardiomyopathy Questionnaire (KCCQ) score, and all-cause mortality were compared (HFH: n = 181; No-HFH: n = 860). Both groups achieved consistent 1-year MR reduction to ≤1+ (HFH vs. No-HFH: 87.3% vs. 89.5%, p = 0.6) and significant 1-year improvement in KCCQ scores (+16.5 vs. +22.3, p = 0.09) and NYHA functional class. However, more patients in the No-HFH group had 1-year NYHA class ≤II (HFH vs. No-HFH: 67.9% vs. 81.9%, p < 0.01). All-cause mortality at 1 year was 36.8% in the HFH group versus 10.4% in the No-HFH group (p < 0.001). The HFH rate decreased by 63% at 1 year post-M-TEER versus 1 year pre-treatment (relative risk 0.4, p < 0.001). Independent HFH associations were MR ≥2+ at discharge, HFH 1 year prior to treatment, baseline NYHA class ≥III, baseline tricuspid regurgitation ≥2+, and baseline left ventricular ejection fraction ≤40%. CONCLUSIONS This study reports the impact of HFH on clinical outcomes post-treatment in the EXPAND study. Results demonstrate that the occurrence of HFH was associated with worse 1-year survival, and treatment with the MitraClip system substantially reduced HFH and improved patient symptoms and quality of life.
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Affiliation(s)
- Mirjam Kessler
- Ulm University Heart Center, University of Ulm, Ulm, Germany
| | | | | | - Carmelo Grasso
- Ferrarotto Hospital, University of Catania, Catania, Italy
| | - Philipp Lurz
- University Medical Center of Johannes Gutenberg University, Mainz, Germany
| | - Paul Mahoney
- Heart Center Leipzig - University Hospital, Leipzig, Germany
| | | | - Mathew Williams
- Heart Valve Center, New York University Langone Health, New York, NY, USA
| | - Paolo Denti
- San Raffaele University Hospital, Milan, Italy
| | | | - Saibal Kar
- Los Robles Regional Medical Center, HCA Healthcare, Thousand Oaks, CA, USA
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von Stein P, Iliadis C. EXPANDing horizons: Optimizing heart failure management following transcatheter edge-to-edge repair of mitral regurgitation. Eur J Heart Fail 2024; 26:1504-1506. [PMID: 38837534 DOI: 10.1002/ejhf.3327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Accepted: 05/23/2024] [Indexed: 06/07/2024] Open
Affiliation(s)
- Philipp von Stein
- Faculty of Medicine, University of Cologne and Cologne University Hospital, Cologne, Germany
| | - Christos Iliadis
- Faculty of Medicine, University of Cologne and Cologne University Hospital, Cologne, Germany
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Huecker M, Schutzman C, French J, El-Kersh K, Ghafghazi S, Desai R, Frick D, Thomas JJ. Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study. JMIR Cardio 2024; 8:e57111. [PMID: 38924781 PMCID: PMC11237790 DOI: 10.2196/57111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/19/2024] [Accepted: 04/10/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND Heart failure (HF) contributes greatly to morbidity, mortality, and health care costs worldwide. Hospital readmission rates are tracked closely and determine federal reimbursement dollars. No current modality or technology allows for accurate measurement of relevant HF parameters in ambulatory, rural, or underserved settings. This limits the use of telehealth to diagnose or monitor HF in ambulatory patients. OBJECTIVE This study describes a novel HF diagnostic technology using audio recordings from a standard mobile phone. METHODS This prospective study of acoustic microphone recordings enrolled convenience samples of patients from 2 different clinical sites in 2 separate areas of the United States. Recordings were obtained at the aortic (second intercostal) site with the patient sitting upright. The team used recordings to create predictive algorithms using physics-based (not neural networks) models. The analysis matched mobile phone acoustic data to ejection fraction (EF) and stroke volume (SV) as evaluated by echocardiograms. Using the physics-based approach to determine features eliminates the need for neural networks and overfitting strategies entirely, potentially offering advantages in data efficiency, model stability, regulatory visibility, and physical insightfulness. RESULTS Recordings were obtained from 113 participants. No recordings were excluded due to background noise or for any other reason. Participants had diverse racial backgrounds and body surface areas. Reliable echocardiogram data were available for EF from 113 patients and for SV from 65 patients. The mean age of the EF cohort was 66.3 (SD 13.3) years, with female patients comprising 38.3% (43/113) of the group. Using an EF cutoff of ≤40% versus >40%, the model (using 4 features) had an area under the receiver operating curve (AUROC) of 0.955, sensitivity of 0.952, specificity of 0.958, and accuracy of 0.956. The mean age of the SV cohort was 65.5 (SD 12.7) years, with female patients comprising 34% (38/65) of the group. Using a clinically relevant SV cutoff of <50 mL versus >50 mL, the model (using 3 features) had an AUROC of 0.922, sensitivity of 1.000, specificity of 0.844, and accuracy of 0.923. Acoustics frequencies associated with SV were observed to be higher than those associated with EF and, therefore, were less likely to pass through the tissue without distortion. CONCLUSIONS This work describes the use of mobile phone auscultation recordings obtained with unaltered cellular microphones. The analysis reproduced the estimates of EF and SV with impressive accuracy. This technology will be further developed into a mobile app that could bring screening and monitoring of HF to several clinical settings, such as home or telehealth, rural, remote, and underserved areas across the globe. This would bring high-quality diagnostic methods to patients with HF using equipment they already own and in situations where no other diagnostic and monitoring options exist.
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Affiliation(s)
- Martin Huecker
- Department of Emergency Medicine, University of Louisville, Louisville, KY, United States
| | - Craig Schutzman
- Department of Emergency Medicine, University of Louisville, Louisville, KY, United States
| | - Joshua French
- Department of Emergency Medicine, University of Louisville, Louisville, KY, United States
| | - Karim El-Kersh
- Department of Pulmonary and Critical Care Medicine, The University of Arizona, Phoenix, AZ, United States
| | - Shahab Ghafghazi
- Department of Emergency Medicine, University of Louisville, Louisville, KY, United States
| | - Ravi Desai
- Lehigh Valley Health Network Cardiology and Critical Care, Allentown, PA, United States
| | - Daniel Frick
- Department of Emergency Medicine, University of Louisville, Louisville, KY, United States
| | - Jarred Jeremy Thomas
- Department of Emergency Medicine, University of Louisville, Louisville, KY, United States
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Cheang I, Zhu X, Lu X, Shi S, Yue X, Tang Y, Gao Y, Liao S, Yao W, Zhou Y, Zhang H, Zhu Y, Xu Y, Li X. Correlation of ventricle epicardial fat volume and triglyceride-glucose index in patients with chronic heart failure. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024; 40:789-799. [PMID: 38212592 DOI: 10.1007/s10554-024-03048-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 01/05/2024] [Indexed: 01/13/2024]
Abstract
To explore the association of ventricle epicardial fat volume (EFV) calculated by cardiac magnetic resonance (CMR) and the insulin resistance indicator of triglyceride-glucose (TyG) index in patients with chronic HF (CHF), this retrospective cohort study included adult CHF patients with confirmed diagnosis of heart failure from January 2018 to December 2020. All patients underwent 3.0T CMR, and EFV were measured under short-axis cine. Spearman correlation, multivariate linear regression, and restricted cubic spline (RCS) regression were used to analyze their association. There were 516 patients with CHF, of whom 69.8% were male. Median EFV was 57.14mL and mean TyG index was 8.48. Spearman correlation analysis showed that TyG index was significantly correlated with the EFV in CHF patients (r = 0.247, P < 0.001). Further analysis showed that TyG index levels were significantly associated with EFV as both continuous variables (Unstandardized β = 6.556, P < 0.001) and across the increasing quartiles (β = 7.50, 95% CI [1.41, 13.59], P < 0.05). RCS demonstrated there were a positive trend and linear association between EFV and TyG index in CHF patients (P for nonliearity = 0.941). In patients with CHF, the TyG index was positively and linearly associated with the EFV, which supports the metabolic roles of epicardial adipose tissue regarding insulin resistance.
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Affiliation(s)
- Iokfai Cheang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xu Zhu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xinyi Lu
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Shi Shi
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Xin Yue
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yuan Tang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yujie Gao
- Department of Radiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Shengen Liao
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Wenming Yao
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yanli Zhou
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Haifeng Zhang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
- Department of Cardiology, Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, 215002, China
| | - Yinsu Zhu
- Department of Radiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yi Xu
- Department of Radiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
| | - Xinli Li
- National Key Laboratory for Innovation and Transformation of Luobing Theory, Department of Cardiology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
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Chang CH, Lopez K, Wasser T, Mei H. Risk factors for readmission of patients with amputation to acute care from inpatient rehabilitation: A retrospective cohort study. PM R 2024; 16:231-238. [PMID: 37584174 DOI: 10.1002/pmrj.13056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 04/24/2023] [Accepted: 07/28/2023] [Indexed: 08/17/2023]
Abstract
INTRODUCTION Amputation is a major condition that requires inpatient rehabilitation. Some research has been conducted to explore the risk factors for readmission of patients from inpatient rehabilitation facilities to acute care hospitals. However, few studies have included patients with amputation in the study population. OBJECTIVE To identify the risk factors for readmission of patients with amputation to acute care hospitals from an inpatient rehabilitation facility. DESIGN Retrospective cohort study. SETTING An acute rehabilitation hospital associated with a community-based tertiary medical center. PATIENTS A retrospective review of 156 independent admissions of 145 patients from June 2019 to July 2022. MAIN OUTCOME MEASURE The study outcome measure was readmission to acute care from an acute rehabilitation unit. RESULTS Of the 156 independent admissions, the readmission rate was 19% (29/156). The most common cause of transfer was incision-site complications (9/29, 31%), including wound infection and wound dehiscence. Patients with amputation readmitted to acute care are more likely to be receiving dialysis (p < .001), have a longer length of stay in acute care before admission to the rehabilitation facility (p = .039), and have a lower Section GG score on admission (p < .001). Age, sex, ethnicity, amputation level, and history of diabetes mellitus were not associated with acute care hospital readmission. The logistic regression model revealed that patients being on dialysis was the only significant risk factor predictive of readmission to acute care (odds ratio [OR] 4.82, p = .006). CONCLUSIONS This study showed that incision-site complications were the most common cause of disruption in inpatient rehabilitation via acute hospital readmission in patients with amputation. Being on dialysis was associated with a higher risk of readmission to acute care hospitals. Based on the results of this study, specific rehabilitation plans might be required for patients with amputation who carry certain risk factors to reduce rehospitalization to the acute care unit.
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Affiliation(s)
- Chin-Hen Chang
- Department of Physical Medicine and Rehabilitation, Reading Hospital, Tower Health System, Reading, Pennsylvania, USA
| | - Kevin Lopez
- Department of Physical Medicine and Rehabilitation, Reading Hospital, Tower Health System, Reading, Pennsylvania, USA
| | - Thomas Wasser
- Consult-Stat: Complete Statistical Service, Wernersville, Pennsylvania, USA
| | - Haiping Mei
- Department of Physical Medicine and Rehabilitation, Reading Hospital, Tower Health System, Reading, Pennsylvania, USA
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Shakoor A, Abou Kamar S, Malgie J, Kardys I, Schaap J, de Boer RA, van Mieghem NM, van der Boon RMA, Brugts JJ. The different risk of new-onset, chronic, worsening, and advanced heart failure: A systematic review and meta-regression analysis. Eur J Heart Fail 2024; 26:216-229. [PMID: 37823229 DOI: 10.1002/ejhf.3048] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/11/2023] [Accepted: 10/03/2023] [Indexed: 10/13/2023] Open
Abstract
AIMS Heart failure (HF) is a chronic and progressive syndrome associated with a poor prognosis. While it may seem intuitive that the risk of adverse outcomes varies across the different stages of HF, an overview of these risks is lacking. This study aims to determine the risk of all-cause mortality and HF hospitalizations associated with new-onset HF, chronic HF (CHF), worsening HF (WHF), and advanced HF. METHODS AND RESULTS We performed a systematic review of observational studies from 2012 to 2022 using five different databases. The primary outcomes were 30-day and 1-year all-cause mortality, as well as 1-year HF hospitalization. Studies were pooled using random effects meta-analysis, and mixed-effects meta-regression was used to compare the different HF groups. Among the 15 759 studies screened, 66 were included representing 862 046 HF patients. Pooled 30-day mortality rates did not reveal a significant distinction between hospital-admitted patients, with rates of 10.13% for new-onset HF and 8.11% for WHF (p = 0.10). However, the 1-year mortality risk differed and increased stepwise from CHF to advanced HF, with a rate of 8.47% (95% confidence interval [CI] 7.24-9.89) for CHF, 21.15% (95% CI 17.78-24.95) for new-onset HF, 26.84% (95% CI 23.74-30.19) for WHF, and 29.74% (95% CI 24.15-36.10) for advanced HF. Readmission rates for HF at 1 year followed a similar trend. CONCLUSIONS Our meta-analysis of observational studies confirms the different risk for adverse outcomes across the distinct HF stages. Moreover, it emphasizes the negative prognostic value of WHF as the first progressive stage from CHF towards advanced HF.
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Affiliation(s)
- Abdul Shakoor
- Department of Cardiology, Erasmus Medical Center, Cardiovascular Institute, Rotterdam, The Netherlands
| | - Sabrina Abou Kamar
- Department of Cardiology, Erasmus Medical Center, Cardiovascular Institute, Rotterdam, The Netherlands
| | - Jishnu Malgie
- Department of Cardiology, Erasmus Medical Center, Cardiovascular Institute, Rotterdam, The Netherlands
| | - Isabella Kardys
- Department of Cardiology, Erasmus Medical Center, Cardiovascular Institute, Rotterdam, The Netherlands
| | - Jeroen Schaap
- Department of Cardiology, Amphia Ziekenhuis, Breda, The Netherlands
| | - Rudolf A de Boer
- Department of Cardiology, Erasmus Medical Center, Cardiovascular Institute, Rotterdam, The Netherlands
| | - Nicolas M van Mieghem
- Department of Cardiology, Erasmus Medical Center, Cardiovascular Institute, Rotterdam, The Netherlands
| | - Robert M A van der Boon
- Department of Cardiology, Erasmus Medical Center, Cardiovascular Institute, Rotterdam, The Netherlands
| | - Jasper J Brugts
- Department of Cardiology, Erasmus Medical Center, Cardiovascular Institute, Rotterdam, The Netherlands
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Narkhede M, Pardeshi A, Bhagat R, Dharme G. Review on Emerging Therapeutic Strategies for Managing Cardiovascular Disease. Curr Cardiol Rev 2024; 20:86-100. [PMID: 38629366 PMCID: PMC11327830 DOI: 10.2174/011573403x299265240405080030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/04/2024] [Accepted: 03/18/2024] [Indexed: 08/07/2024] Open
Abstract
Cardiovascular disease (CVD) remains a foremost global health concern, necessitating ongoing exploration of innovative therapeutic strategies. This review surveys the latest developments in cardiovascular therapeutics, offering a comprehensive overview of emerging approaches poised to transform disease management. The examination begins by elucidating the current epidemiological landscape of CVD and the economic challenges it poses to healthcare systems. It proceeds to scrutinize the limitations of traditional therapies, emphasizing the need for progressive interventions. The core focus is on novel pharmacological interventions, including advancements in drug development, targeted therapies, and repurposing existing medications. The burgeoning field of gene therapy and its potential in addressing genetic predispositions to cardiovascular disorders are explored, alongside the integration of artificial intelligence and machine learning in risk assessment and treatment optimization. Non-pharmacological interventions take center stage, with an exploration of digital health technologies, wearable devices, and telemedicine as transformative tools in CVD management. Regenerative medicine and stem cell therapies, offering promises of tissue repair and functional recovery, are investigated for their potential impact on cardiac health. This review also delves into the interplay of lifestyle modifications, diet, exercise, and behavioral changes, emphasizing their pivotal role in cardiovascular health and disease prevention. As precision medicine gains prominence, this synthesis of emerging therapeutic modalities aims to guide clinicians and researchers in navigating the dynamic landscape of cardiovascular disease management, fostering a collective effort to alleviate the global burden of CVD and promote a healthier future.
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Affiliation(s)
- Minal Narkhede
- SMBT College of Pharmacy, Nandi Hills Dhamangaon Taluka Igatpuri, Nashik 422403, India
| | - Avinash Pardeshi
- SMBT College of Pharmacy, Nandi Hills Dhamangaon Taluka Igatpuri, Nashik 422403, India
| | - Rahul Bhagat
- SMBT College of Pharmacy, Nandi Hills Dhamangaon Taluka Igatpuri, Nashik 422403, India
| | - Gajanan Dharme
- SMBT College of Pharmacy, Nandi Hills Dhamangaon Taluka Igatpuri, Nashik 422403, India
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Steverson AB, Marano PJ, Chen C, Ma Y, Stern RJ, Feng J, Gennatas ED, Marks JD, Durstenfeld MS, Davis JD, Hsue PY, Zier LS. Predictors of All-Cause 30-Day Readmissions in Patients with Heart Failure at an Urban Safety Net Hospital: The Importance of Social Determinants of Health and Mental Health. AMERICAN JOURNAL OF MEDICINE OPEN 2023; 10:100060. [PMID: 39035237 PMCID: PMC11256223 DOI: 10.1016/j.ajmo.2023.100060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 09/24/2023] [Indexed: 07/23/2024]
Abstract
Introduction Heart failure (HF) is a frequent cause of readmissions. Despite caring for underresourced patients and dependence on government funding, safety net hospitals frequently incur penalties for failing to meet pay-for-performance readmission metrics. Limited research exists on the causes of HF readmissions in safety net hospitals. Therefore, we sought to investigate predictors of 30-day all-cause readmission in HF patients in the safety net setting. Methods We performed a retrospective chart review of patients admitted for HF from October 2018 to April 2019. We extracted data on demographics and medical comorbidities and performed patient-specific review of social determinants and mental health in 4 domains: race/ethnicity, housing status, substance use, and mental illness. Multivariable Poisson regression modeling was employed to evaluate associations with 30-day all-cause readmission. Results The study population included 290 patients, among whom the mean age was 59 years and 71% (n = 207) were male; 42% (120) were Black/African American (AA), 22% (64) were Hispanic/Latino, and 96% (278) had public insurance; 28% (79) were not housed, 19% (56) had a diagnosis of mental illness, and active substance use was common. The 30-day readmission rate was 25.5% (n = 88). Factors that were associated with increased risk of readmission included self-identifying as Black/AA (relative risk 2.28, 95% confidence interval 1.00-5.20) or Hispanic/Latino (2.53, 1.07-6.00), experiencing homelessness (2.07, 1.21-3.56), living in a shelter (3.20, 1.27-8.02), or intravenous drug use (IVDU) (2.00, 1.08-3.70). Conclusion Race/ethnicity, housing status, and substance use were associated with increased risk of 30-day all-cause readmission in HF patients in a safety net hospital. In contrast to prior studies, medical comorbidities were not associated with increased risk of readmission.
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Affiliation(s)
- Alexandra B. Steverson
- Department of Medicine, University of California, San Francisco, Calif
- Division of Cardiology, Zuckerberg San Francisco General, San Francisco, Calif
| | - Paul J. Marano
- Department of Medicine, University of California, San Francisco, Calif
- Division of Cardiology, Zuckerberg San Francisco General, San Francisco, Calif
| | - Caren Chen
- Division of Cardiology, Zuckerberg San Francisco General, San Francisco, Calif
- San Francisco Department of Public Health
| | - Yifei Ma
- Division of Cardiology, Zuckerberg San Francisco General, San Francisco, Calif
| | | | - Jean Feng
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | | | - James D. Marks
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Matthew S. Durstenfeld
- Department of Medicine, University of California, San Francisco, Calif
- Division of Cardiology, Zuckerberg San Francisco General, San Francisco, Calif
| | - Jonathan D. Davis
- Department of Medicine, University of California, San Francisco, Calif
- Division of Cardiology, Zuckerberg San Francisco General, San Francisco, Calif
| | - Priscilla Y. Hsue
- Division of Cardiology, Zuckerberg San Francisco General, San Francisco, Calif
| | - Lucas S. Zier
- Department of Medicine, University of California, San Francisco, Calif
- Division of Cardiology, Zuckerberg San Francisco General, San Francisco, Calif
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Ichihara YK, Shiraishi Y, Kohsaka S, Nakano S, Nagatomo Y, Ono T, Takei M, Sakamoto M, Mizuno A, Kitamura M, Niimi N, Kohno T, Yoshikawa T. Association of pre-hospital precipitating factors with short- and long-term outcomes of acute heart failure patients: A report from the WET-HF2 registry. Int J Cardiol 2023; 389:131161. [PMID: 37437664 DOI: 10.1016/j.ijcard.2023.131161] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/29/2023] [Accepted: 07/05/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Interest in clinical course preceding heart failure (HF) exacerbation has grown, with a greater emphasis placed on patients' clinical factors including precipitant factor (PF). Large-scale studies with precise PF documentation and temporal-outcome variation remain limited. METHODS We reviewed prospectively collected 2412 consecutive patient-level records from a multicenter Japanese registry of hospitalized patients with HF (West Tokyo Heart Failure2 Registry: 2018-2020). Patients were categorized based on PFs: behavioral (i.e., poor adherence to physical activity, medicine, or diet regimen), treatment-required (i.e., anemia, arrhythmia, ischemia, infection, thyroid dysfunction or other conditions as suggested exacerbating factors), and no-PF. The composite outcomes of HF rehospitalization and death within 1 year after discharge and HF rehospitalization were individually assessed. RESULTS Median patient age was 78 years (interquartile range: 68-85 years), and 1468 (61%) patients had documented PFs, of which 356 (15%) were considered behavioral. The behavioral PF group were younger, more male and had past HF hospitalization history compared to those in the other groups (all p < 0.05). Although risk of in-hospital death was lower in the behavioral PF group, their risk of composite outcome was not significantly different from the treatment-required group (hazard ratio [HR] 1.19 [95% confidence interval {CI} 0.93-1.51]) and the no-PF group (HR 1.28 [95%CI 1.00-1.64]). Furthermore, the risk of HF rehospitalization was higher in the behavioral PF group than in the other two groups (HR 1.40 [95%CI 1.07-1.83] and HR 1.39 [95%CI 1.06-1.83], respectively). CONCLUSION Despite a better in-hospital prognosis, patients with behavioral PFs were at significantly higher risk of HF rehospitalization.
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Affiliation(s)
- Yumiko Kawakubo Ichihara
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan; Department of Cardiology, Saiseikai Central Hospital, Tokyo, Japan
| | - Yasuyuki Shiraishi
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan
| | - Shun Kohsaka
- Department of Cardiology, Keio University School of Medicine, Tokyo, Japan.
| | - Shintaro Nakano
- Department of Cardiology, Saitama Medical University International Medical Center, Saitama, Japan
| | - Yuji Nagatomo
- Department of Cardiology, National Defense Medical College Hospital, Tokorozawa, Japan
| | - Tomohiko Ono
- Department of Cardiology, National Hospital Organization Saitama National Hospital, Saitama, Japan
| | - Makoto Takei
- Department of Cardiology, Saiseikai Central Hospital, Tokyo, Japan
| | - Munehisa Sakamoto
- Department of Cardiology, National Hospital Organization Tokyo Medical Center, Tokyo, Japan
| | - Atsushi Mizuno
- Department of Cardiology, St. Luke's International Hospital, Tokyo, Japan
| | | | - Nozomi Niimi
- Department of General Internal Medicine, National Hospital Organization Tokyo Medical Center, Tokyo, Japan
| | - Takashi Kohno
- Department of Cardiovascular Medicine, Kyorin University Faculty of Medicine, Tokyo, Japan
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12
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Yin V, Cobb JP, Wightman SC, Atay SM, Harano T, Kim AW. Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery. World J Surg 2023; 47:2392-2400. [PMID: 37405445 PMCID: PMC10474202 DOI: 10.1007/s00268-023-07093-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/20/2023] [Indexed: 07/06/2023]
Abstract
BACKGROUND The goal of this study was to investigate factors associated with 30-day readmission in a multivariate model, including the CDC wound classes "clean," "clean/contaminated," "contaminated," and "dirty/infected." METHODS The 2017-2020 American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all patients undergoing total hip replacement, coronary artery bypass grafting, Ivor Lewis esophagectomy, pancreaticoduodenectomy, distal pancreatectomy, pneumonectomy, and colectomies. ACS-defined wound classes were concordant with CDC definitions. Multivariate linear mixed regression was used to determine risk factors for readmission while adjusting for type of surgery as a random intercept. RESULTS 477,964 cases were identified, with 38,734 (8.1%) patients having experienced readmission within 30 days of surgery. There were 181,243 (37.9%) cases classified as wound class "clean", 215,729 (45.1%) cases classified as "clean/contaminated", 40,684 cases (8.5%) classified as "contaminated", and 40,308 (8.4%) cases classified as "dirty/infected". In the multivariate generalized mixed linear model adjusting for type of surgery, sex, body mass index, race, American Society of Anesthesiologists class, presence of comorbidity, length of stay, urgency of surgery, and discharge destination, "clean/contaminated" (p < .001), "contaminated" (p < .001), and "dirty/infected" (p < .001) wound classes (when compared to "clean") were significantly associated with 30-day readmission. Organ/space surgical site infection and sepsis were among the most common reasons for readmission in all wound classes. CONCLUSIONS Wound classification was strongly prognostic for readmission in multivariable models, suggesting that it may serve as a marker of readmissions. Surgical procedures that are "non-clean" are at significantly greater risk for 30-day readmission. Readmissions may be due to infectious complications; optimizing antibiotic use or source control to prevent readmission are areas of future study.
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Affiliation(s)
- Victoria Yin
- Keck School of Medicine, University of Southern California, 1975 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - J Perren Cobb
- Departments of Surgery & Anesthesiology, Critical Care Institute, Keck School of Medicine, University of Southern California, 1520 San Pablo Street, Suite 4300, Los Angeles, CA, 90033, USA
| | - Sean C Wightman
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, 1510 San Pablo Street, Suite 514, Los Angeles, CA, 90033, USA
| | - Scott M Atay
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, 1510 San Pablo Street, Suite 514, Los Angeles, CA, 90033, USA
| | - Takashi Harano
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, 1510 San Pablo Street, Suite 514, Los Angeles, CA, 90033, USA
| | - Anthony W Kim
- Division of Thoracic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, 1510 San Pablo Street, Suite 514, Los Angeles, CA, 90033, USA.
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13
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Samson R, Le Jemtel TH. Sacubitril-Valsartan in Heart Failure: The Hard Sell of Spending More to Save Later. Am J Cardiol 2023; 202:237-238. [PMID: 37495439 DOI: 10.1016/j.amjcard.2023.06.110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/28/2023]
Affiliation(s)
- Rohan Samson
- Advanced Heart Failure Therapies Program, University of Louisville Health-Jewish Hospital, Louisville, Kentucky.
| | - Thierry H Le Jemtel
- Section of Cardiology, John W. Deming Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana
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14
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Elhence H, Dodge JL, Farias AJ, Lee BP. Quantifying days at home in patients with cirrhosis: A national cohort study. Hepatology 2023; 78:518-529. [PMID: 36994701 PMCID: PMC10363198 DOI: 10.1097/hep.0000000000000370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/04/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND AND AIMS Days at home (DAH) is a patient-centric metric developed by the Medicare Payment Advisory Commission, capturing annual health care use, including and beyond hospitalizations and mortality. We quantified DAH and assessed factors associated with DAH differences among patients with cirrhosis. APPROACH AND RESULTS Using a national claims database (Optum) between 2014 and 2018, we calculated DAH (365 minus mortality, inpatient, observation, postacute, and emergency department days). Among 20,776,597 patients, 63,477 had cirrhosis (median age, 66, 52% males, and 63% non-Hispanic White). Age-adjusted mean DAH for cirrhosis was 335.1 days (95% CI: 335.0 to 335.2) vs 360.1 (95% CI: 360.1 to 360.1) without cirrhosis. In mixed-effects linear regression, adjusted for demographic and clinical characteristics, patients with decompensated cirrhosis spent 15.2 days (95% CI: 14.4 to 15.8) in postacute, emergency, and observation settings and 13.8 days (95% CI: 13.5 to 14.0) hospitalized. Hepatic encephalopathy (-29.2 d, 95% CI: -30.4 to -28.0), ascites (-34.6 d, 95% CI: -35.3 to -33.9), and combined ascites and hepatic encephalopathy (-63.8 d, 95% CI: -65.0 to -62.6) were associated with decreased DAH. Variceal bleeding was not associated with a change in DAH (-0.2 d, 95% CI: -1.6 to +1.1). Among hospitalized patients, during the 365 days after index hospitalization, patients with cirrhosis had fewer age-adjusted DAH (272.8 d, 95% CI: 271.5 to 274.1) than congestive heart failure (288.0 d, 95% CI: 287.7 to 288.3) and chronic obstructive pulmonary disease (296.6 d, 95% CI: 296.3 to 297.0). CONCLUSIONS In this national study, we found that patients with cirrhosis spend as many, if not more, cumulative days receiving postacute, emergency, and observational care, as hospitalized care. Ultimately, up to 2 months of DAH are lost annually with the onset of liver decompensation. DAH may be a useful metric for patients and health systems alike.
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Affiliation(s)
- Hirsh Elhence
- Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jennifer L. Dodge
- Department of Population Public Health Sciences, University of Southern California, Los Angeles, California
- Division of Gastroenterology and Liver Diseases, University of Southern California, Los Angeles, California
| | - Albert J. Farias
- Department of Population Public Health Sciences, University of Southern California, Los Angeles, California
| | - Brian P. Lee
- Division of Gastroenterology and Liver Diseases, University of Southern California, Los Angeles, California
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15
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Diamond J, Ayodele I, Fonarow GC, Joynt-Maddox KE, Yeh RW, Hammond G, Allen LA, Greene SJ, Chiswell K, DeVore AD, Yancy C, Wadhera RK. Quality of Care and Clinical Outcomes for Patients With Heart Failure at Hospitals Caring for a High Proportion of Black Adults: Get With The Guidelines-Heart Failure Registry. JAMA Cardiol 2023; 8:545-553. [PMID: 37074702 PMCID: PMC10116383 DOI: 10.1001/jamacardio.2023.0695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/26/2023] [Indexed: 04/20/2023]
Abstract
Importance Black adults with heart failure (HF) disproportionately experience higher population-level mortality than White adults with HF. Whether quality of care for HF differs at hospitals with high proportions of Black patients compared with other hospitals is unknown. Objective To compare quality and outcomes for patients with HF at hospitals with high proportions of Black patients vs other hospitals. Design, Setting, and Participants Patients hospitalized for HF at Get With The Guidelines (GWTG) HF sites from January 1, 2016, through December 1, 2019. These data were analyzed from May 2022 through November 2022. Exposures Hospitals caring for high proportions of Black patients. Main Outcomes and Measures Quality of HF care based on 14 evidence-based measures, overall defect-free HF care, and 30-day readmissions and mortality in Medicare patients. Results This study included 422 483 patients (224 270 male [53.1%] and 284 618 White [67.4%]) with a mean age of 73.0 years. Among 480 hospitals participating in GWTG-HF, 96 were classified as hospitals with high proportions of Black patients. Quality of care was similar between hospitals with high proportions of Black patients compared with other hospitals for 11 of 14 GWTG-HF measures, including use of angiotensin-converting enzyme inhibitors/angiotensin receptor blocker/angiotensin receptor neprilysin inhibitors for left ventricle systolic dysfunction (high-proportion Black hospitals: 92.7% vs other hospitals: 92.4%; adjusted odds ratio [OR], 0.91; 95% CI, 0.65-1.27), evidence-based β-blockers (94.7% vs 93.7%; OR, 1.02; 95% CI, 0.82-1.28), angiotensin receptor neprilysin inhibitors at discharge (14.3% vs 16.8%; OR, 0.74; 95% CI, 0.54-1.02), anticoagulation for atrial fibrillation/flutter (88.8% vs 87.5%; OR, 1.05; 95% CI, 0.76-1.45), and implantable cardioverter-defibrillator counseling/placement/prescription at discharge (70.9% vs 71.0%; OR, 0.75; 95% CI, 0.50-1.13). Patients at high-proportion Black hospitals were less likely to be discharged with a follow-up visit made within 7 days or less (70.4% vs 80.1%; OR, 0.68; 95% CI, 0.53-0.86), receive cardiac resynchronization device placement/prescription (50.6% vs 53.8%; OR, 0.63; 95% CI, 0.42-0.95), or an aldosterone antagonist (50.4% vs 53.5%; OR, 0.69; 95% CI, 0.50-0.97). Overall defect-free HF care was similar between both groups of hospitals (82.6% vs 83.4%; OR, 0.89; 95% CI, 0.67-1.19) and there were no significant within-hospital differences in quality for Black patients vs White patients. Among Medicare beneficiaries, the risk-adjusted hazard ratio (HR) for 30-day readmissions was higher at high-proportion Black vs other hospitals (HR, 1.14; 95% CI, 1.02-1.26), but similar for 30-day mortality (HR 0.92; 95% CI,0.84-1.02). Conclusions and Relevance Quality of care for HF was similar across 11 of 14 measures at hospitals caring for high proportions of Black patients compared with other hospitals, as was overall defect-free HF care. There were no significant within-hospital differences in quality for Black patients vs White patients.
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Affiliation(s)
- Jamie Diamond
- Division of Cardiology, Duke University School of Medicine, Durham, North Carolina
| | | | - Gregg C. Fonarow
- Ahmanson-UCLA Cardiomyopathy Center, University of California, Los Angeles
| | - Karen E. Joynt-Maddox
- Center for Health Economics and Policy, Cardiovascular Division, Washington University School of Medicine, Washington University, St Louis, Missouri
| | - Robert W. Yeh
- Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Gmerice Hammond
- Center for Health Economics and Policy, Cardiovascular Division, Washington University School of Medicine, Washington University, St Louis, Missouri
| | - Larry A. Allen
- Division of Cardiology, University of Colorado School of Medicine, Aurora
| | - Stephen J. Greene
- Division of Cardiology, Duke University School of Medicine, Durham, North Carolina
- Duke Clinical Research Institute, Durham, North Carolina
| | - Karen Chiswell
- Duke Clinical Research Institute, Durham, North Carolina
| | - Adam D. DeVore
- Division of Cardiology, Duke University School of Medicine, Durham, North Carolina
- Duke Clinical Research Institute, Durham, North Carolina
| | - Clyde Yancy
- Division of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Rishi K. Wadhera
- Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
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16
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McLaughlin CC. Why Did New York State Hospitals Rank So Poorly? Med Care 2023; 61:295-305. [PMID: 36929772 PMCID: PMC10079295 DOI: 10.1097/mlr.0000000000001841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
BACKGROUND According to the Centers for Medicare and Medicaid Services star ratings, New York State (NYS) hospitals are relatively poor performers, with 33% achieving 1 star compared with 5% of hospitals across the United States. OBJECTIVES We compared NYS hospitals to all United States hospitals using Centers for Medicare and Medicaid Services Hospital Value-Based Purchasing (HVBP) and star ratings component measures. We perform risk adjustment for hospital and market characteristics associated poor performance. RESEARCH DESIGN This was a cross-sectional observational study. SUBJECTS All acute care hospitals in the United States which had HVBP scores for 2019 in April 21, 2021, Hospital Care Compare database. MEASURES Analysis of variance was used to compare NYS hospitals to all United States hospitals. Multivariable-based risk adjustment was applied to NYS hospitals with adjustment for hospital characteristics (eg, occupancy, size), hospital fiscal ratios (eg, operating margin), and market characteristics (eg, percent of hospital market that has a high school diploma). RESULTS NYS hospitals averaged lower patient satisfaction and higher readmissions. These domains were statistically significantly associated with lower socioeconomic status in the hospital market area. Risk adjustment reduced but did not eliminate these differences. NYS also performed poorly on pressure ulcers and deep vein thrombosis/pulmonary embolism prevention. NYS hospitals were similar to the United States in mortality and hospital-acquired infections. CONCLUSIONS Differences in the demographic makeup of hospital markets account for some of the poor performance of NYS hospitals. Some aspects, such as long length of stay, may be associated with wider regional trends.
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17
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Lonardo A. Shutting those revolving doors. Ann Hepatol 2023; 28:101106. [PMID: 37088419 DOI: 10.1016/j.aohep.2023.101106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 04/25/2023]
Affiliation(s)
- Amedeo Lonardo
- Azienda Ospedaliero-Universitaria, Ospedale Civile di Baggiovara, Modena, Italy.
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18
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Mentias A, Peterson ED, Keshvani N, Kumbhani DJ, Yancy C, Morris A, Allen L, Girotra S, Fonarow GC, Starling R, Alvarez P, Desai M, Cram P, Pandey A. Achieving Equity in Hospital Performance Assessments Using Composite Race-Specific Measures of Risk-Standardized Readmission and Mortality Rates for Heart Failure. Circulation 2023; 147:1121-1133. [PMID: 37036906 PMCID: PMC10765408 DOI: 10.1161/circulationaha.122.061995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 01/23/2023] [Indexed: 04/12/2023]
Abstract
BACKGROUND The contemporary measures of hospital performance for heart failure hospitalization and 30-day risk-standardized readmission rate (RSRR) and risk-standardized mortality rate (RSMR) are estimated using the same risk adjustment model and overall event rate for all patients. Thus, these measures are mainly driven by the care quality and outcomes for the majority racial and ethnic group, and may not adequately represent the hospital performance for patients of Black and other races. METHODS Fee-for-service Medicare beneficiaries from January 2014 to December 2019 hospitalized with heart failure were identified. Hospital-level 30-day RSRR and RSMR were estimated using the traditional race-agnostic models and the race-specific approach. The composite race-specific performance metric was calculated as the average of the RSRR/RMSR measures derived separately for each race and ethnicity group. Correlation and concordance in hospital performance for all patients and patients of Black and other races were assessed using the composite race-specific and race-agnostic metrics. RESULTS The study included 1 903 232 patients (75.7% White [n=1 439 958]; 14.5% Black [n=276 684]; and 9.8% other races [n=186 590]) with heart failure from 1860 hospitals. There was a modest correlation between hospital-level 30-day performance metrics for patients of White versus Black race (Pearson correlation coefficient: RSRR=0.42; RSMR=0.26). Compared with the race-agnostic RSRR and RSMR, composite race-specific metrics for all patients demonstrated stronger correlation with RSRR (correlation coefficient: 0.60 versus 0.74) and RSMR (correlation coefficient: 0.44 versus 0.51) for Black patients. Concordance in hospital performance for all patients and patients of Black race was also higher with race-specific (versus race-agnostic) metrics (RSRR=64% versus 53% concordantly high-performing; 61% versus 51% concordantly low-performing). Race-specific RSRR and RSMR metrics (versus race-agnostic) led to reclassification in performance ranking of 35.8% and 39.2% of hospitals, respectively, with better 30-day and 1-year outcomes for patients of all race groups at hospitals reclassified as high-performing. CONCLUSIONS Among patients hospitalized with heart failure, race-specific 30-day RSMR and RSRR are more equitable in representing hospital performance for patients of Black and other races.
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Affiliation(s)
- Amgad Mentias
- Heart, Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH
| | - Eric D. Peterson
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX
| | - Neil Keshvani
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX
| | - Dharam J. Kumbhani
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX
| | - Clyde Yancy
- Division of Cardiology, Northwestern University School of Medicine, Chicago, IL
| | - Alanna Morris
- Division of Cardiology, Emory University School of Medicine, Atlanta, GA
| | - Larry Allen
- Division of Cardiology, University of Colorado Anschutz Medical Campus, Denver, CO
| | - Saket Girotra
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX
| | - Gregg C. Fonarow
- Ahmanson Cardiomyopathy Center, UCLA School of Medicine, Los Angeles, CA
| | - Randall Starling
- Heart, Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH
| | - Paulino Alvarez
- Heart, Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH
| | - Milind Desai
- Heart, Vascular and Thoracic Institute, Cleveland Clinic Foundation, Cleveland, OH
| | - Peter Cram
- Department of Internal Medicine, UT Medical Branch, Galveston, TX
| | - Ambarish Pandey
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX
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19
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Ivey-Miranda JB, Rao VS, Cox ZL, Moreno-Villagomez J, Mahoney D, Maulion C, Bellumkonda L, Turner JM, Collins S, Wilson FP, Krumholz HM, Testani JM. In-Hospital Observation on Oral Diuretics After Treatment for Acute Decompensated Heart Failure: Evaluating the Utility. Circ Heart Fail 2023; 16:e010206. [PMID: 36896716 PMCID: PMC10186250 DOI: 10.1161/circheartfailure.122.010206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/12/2023] [Indexed: 03/11/2023]
Abstract
BACKGROUND Following treatment for acute decompensated heart failure, in-hospital observation on oral diuretics (OOD) is recommended, assuming it provides actionable information on discharge diuretic dosing and thus reduces readmissions. METHODS In the Mechanisms of Diuretic Resistance (MDR) cohort, we analyzed in-hospital measures of diuretic response, provider's decisions, and diuretic response ≈30 days postdischarge. In a Yale multicenter cohort, we assessed if in-hospital OOD was associated with 30-day readmission risk. The main objective of this study was to evaluate the utility of in-hospital OOD. RESULTS Of the 468 patients in the MDR cohort, 57% (N=265) underwent in-hospital OOD. During the OOD, weight change and net fluid balance correlated poorly with each other (r=0.36). Discharge diuretic dosing was similar between patients who had increased, stable, or decreased weight (decreased discharge dose from OOD dose in 77% versus 72% versus 70%, respectively), net fluid status (decreased discharge dose from OOD dose in 100% versus 69% versus 74%, respectively), and urine output (decreased discharge dose from OOD dose in 69% versus 79% versus 72%, respectively) during the 24-hour OOD period (P>0.27 for all). In participants returning at 30 days for formal quantification of outpatient diuretic response (n=98), outpatient and inpatient OOD natriuresis was poorly correlated (r=0.26). In the Yale multicenter cohort (n=18 454 hospitalizations), OOD occurred in 55% and was not associated with 30-day hospital readmission (hazard ratio, 0.98 [95% CI, 0.93-1.05]; P=0.51). CONCLUSIONS In-hospital OOD did not provide actionable information on diuretic response, was not associated with outpatient dose selection, did not predict subsequent outpatient diuretic response, and was not associated with lower readmission rate. Additional research is needed to replicate these findings and understand if these resources could be better allocated elsewhere. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT02546583.
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Affiliation(s)
- Juan B. Ivey-Miranda
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT
- Hospital de Cardiología, Instituto Mexicano del Seguro Social, Mexico City, México
| | - Veena S. Rao
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT
| | - Zachary L. Cox
- Department of Pharmacy Practice, Lipscomb University College of Pharmacy, Nashville, TN
- Department of Pharmacy, Vanderbilt University Medical Center, Nashville, TN
| | - Julieta Moreno-Villagomez
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT
- Universidad Nacional Autónoma de México, México City, México
| | - Devin Mahoney
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT
| | - Christopher Maulion
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT
| | - Lavanya Bellumkonda
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT
| | - Jeffrey M. Turner
- Department of Medicine, Division of Nephrology, Yale University School of Medicine, New Haven CT
| | - Sean Collins
- Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - F. Perry Wilson
- Clinical and translational research accelerator, Yale University School of Medicine, New Haven, CT
| | - Harlan M. Krumholz
- Center for Outcomes Research and Evaluation. Yale-New Haven Hospital, New Haven, CT
| | - Jeffrey M. Testani
- Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, CT
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20
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Hamadi HY, Boamah S, Apatu E, Tafili A, Spaulding A. All-Cause 30-Day Readmission and Mortality: How the Health of Community Affects Magnet® Performance. J Nurs Adm 2023; 53:234-240. [PMID: 36951951 DOI: 10.1097/nna.0000000000001275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
OBJECTIVE The aim of this study was to determine whether Magnet® and non-Magnet hospitals differ in the occurrence of 30-day readmission and mortality rates among the Medicare population when considering community health factors. BACKGROUND Magnet hospitals have shown favorable outcomes regarding 30-day readmission and mortality; however, previous research has not evaluated whether the hospital community influences the likelihood of the patient being readmitted to a hospital or how Magnet facilities may mitigate potential mortality risks. METHOD This study used a cross-sectional study design of 1791 hospitals using a propensity score matching technique to compare Magnet and non-Magnet hospitals with similar hospital and community characteristics. RESULTS Results reveal no differences in readmission scores between Magnet and non-Magnet hospitals. When considering mortality scores, Magnet hospitals had better performance for pneumonia, congestive heart failure, and chronic obstructive pulmonary disease compared with non-Magnet hospitals. CONCLUSIONS Our results suggest that there may be universal efforts to improve overall readmission rates taken by hospitals to minimize potential penalties and maximize patient outcomes.
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Affiliation(s)
- Hanadi Y Hamadi
- Author Affiliations: Associate Professor (Dr Hamadi), Health Administration, University of North Florida, Jacksonville, Florida; Assistant Professor of Nursing (Dr Boamah) and Associate Professor of Health Sciences (Dr Apatu), McMaster University, Hamilton, Ontario, Canada; Doctoral Student (Tafili), Health Services Administration, University of Alabama at Birmingham; and Associate Professor (Dr Spaulding), Health Services Research, Mayo Clinic, Jacksonville, Florida
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21
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Cheng-Lai A, Prlesi L, Murthy S, Bellin EY, Sinnett MJ, Goriacko P. Evaluating Pharmacist-Led Heart Failure Transitions of Care Clinic: Impact of Analytic Approach on Readmission Rate Endpoints. Curr Probl Cardiol 2023; 48:101507. [PMID: 36402220 DOI: 10.1016/j.cpcardiol.2022.101507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 11/11/2022] [Indexed: 11/18/2022]
Abstract
Studies evaluating pharmacist-led transitions of care (TOC) services for heart failure patients reported profound decreases in hospital readmissions. Most studies restricted their analysis to clinic attendees (as-treated analysis), which can introduce selection and immortal time bias. In this study, we evaluated the impact of including only clinic attendees vs all clinic referrals in assessing the effectiveness of a pharmacist-led heart failure transitions of care (PharmD HF TOC) clinic program on 30-day readmissions. This is a retrospective, observational study of patients discharged from a heart failure hospitalization at a large urban academic medical center from August 2016 to December 2018. Primary exposure was the provision of a PharmD HF TOC clinic appointment in the intent-to-treat analysis and the attendance of the clinic in the as-treated analysis. Primary outcome was all-cause readmissions within 30 days of discharge. There were 766 and 1015 patients included in the as-treated and intent-to-treat analyses, respectively. In the as-treated analysis, 30-day all-cause readmissions were significantly lower in the intervention group compared to the control group (12.4% vs 19.6%, P = 0.018). In contrast, the intent-to-treat analysis did not reveal a significant difference in 30-day all-cause readmissions between the intervention group and the control group (18.2% vs 19.6%, P = 0.643). Pharmacist-led heart failure TOC program is associated with a reduction in 30-day all-cause readmissions only when restricting the analysis to clinic attendees. Future studies evaluating the effectiveness of post-discharge TOC services need to carefully consider the biases inherent in the evaluation methods employed.
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Affiliation(s)
- Angela Cheng-Lai
- Department of Pharmacy, Montefiore Medical Center, Bronx, NY; Department of Medicine, Montefiore Medical Center, Bronx, NY; Albert Einstein College of Medicine, Bronx, NY,.
| | - Lendita Prlesi
- Department of Pharmacy, Montefiore Medical Center, Bronx, NY
| | - Sandhya Murthy
- Department of Medicine, Montefiore Medical Center, Bronx, NY; Albert Einstein College of Medicine, Bronx, NY
| | - Eran Y Bellin
- Department of Medicine, Montefiore Medical Center, Bronx, NY; Albert Einstein College of Medicine, Bronx, NY,; Department of Epidemiology & Population Health, Montefiore Medical Center, Bronx, NY
| | - Mark J Sinnett
- Department of Pharmacy, Montefiore Medical Center, Bronx, NY
| | - Pavel Goriacko
- Department of Pharmacy, Montefiore Medical Center, Bronx, NY; Albert Einstein College of Medicine, Bronx, NY,; Department of Epidemiology & Population Health, Montefiore Medical Center, Bronx, NY
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22
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Goto Y, Miura H, Ito N. Comparison between the Chief Care Manager and the Normal Care Manager on Hospitalization and Discharge Coordination Activities in Japan: An Online Cross-Sectional Study of Care Managers in Aichi Prefecture. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12122. [PMID: 36231421 PMCID: PMC9565180 DOI: 10.3390/ijerph191912122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/18/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
The Japanese long-term care insurance system came into operation in the year 2000 and the chief care manager certification system was established in 2006 to improve the quality of care management. Certified chief care managers are expected to perform the role of a specialist. The purpose of this study was to determine the impact of the chief care manager certificate in coordination with hospitals. In this online cross-sectional survey, responses were obtained from 448 care managers engaged in long-term care activities with all in-home long-term care support providers. Among these 448 care managers, 301 had the chief care manager certificate. Of these care managers, ≥90% regularly asked their patients about their "values" and ≥80% provided their patients with hospitalization and discharge support. Of the care managers who provided their patients with hospitalization support, 80% provided the hospitals with information regarding patient "values" at the time of hospitalization, and 50% provided the hospitals with information regarding patient "values" and information. The chief care manager certificate had positive effects on confidence in hospitalization and discharge support. However, no significant difference was observed between the activities of chief and normal care managers in terms of hospitalization and discharge support.
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Affiliation(s)
- Yuko Goto
- Correspondence: ; Tel.: +81-562-46-2311
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23
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Kilaru AS, Illenberger N, Meisel ZF, Groeneveld PW, Liu M, Mondal A, Mitra N, Merchant RM. Incidence of Timely Outpatient Follow-Up Care After Emergency Department Encounters for Acute Heart Failure. Circ Cardiovasc Qual Outcomes 2022; 15:e009001. [PMID: 36073354 PMCID: PMC9489651 DOI: 10.1161/circoutcomes.122.009001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Patients who are discharged from the emergency department (ED) after an encounter for acute heart failure are at high risk for return hospitalization. These patients may benefit from timely outpatient follow-up care to reassess volume status, adjust medications, and reinforce self-care strategies. This study examines the incidence of outpatient follow-up care after ED encounters for acute heart failure and describes patient characteristics associated with obtaining timely follow-up care. METHODS We conducted a retrospective cohort study using an administrative claims database for a large US commercial insurer, from January 1, 2012 to June 30, 2019. Participants included adult patients discharged from the ED with principal diagnosis of acute heart failure. The primary outcome was obtaining an in-person outpatient clinic visit for heart failure within 30 days. We also examined the competing risk of all-cause hospitalization within 30 days and without an intervening outpatient clinic visit. We estimated competing risk regression models to identify patient characteristics associated with obtaining outpatient follow-up and report cause-specific hazard ratios. RESULTS The cohort included 52 732 patients, with mean age of 73.9 years (95% CI, 73.8-74.0) and 27 395 (52.0% [95% CI, 51.5-52.4]) female patients. Within 30 days of the ED encounter, 12 279 (23.2%) patients attended an outpatient clinic visit for heart failure, with 8382 (15.9%) patients hospitalized before they could obtain an outpatient clinic visit. In the adjusted analysis, patients that were younger, women, reporting non-Hispanic Black race, and had fewer previous clinic visits were less likely to obtain outpatient follow-up care. CONCLUSIONS Few patients obtain timely outpatient follow-up after ED visits for heart failure, although nearly 20% require hospitalization within 30 days. Improved transitions following discharge from the ED may represent an opportunity to improve outcomes for patients with acute heart failure.
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Affiliation(s)
- Austin S Kilaru
- Center for Emergency Care Policy and Research, Department of Emergency Medicine (A.S.K., R.M.M., Z.F.M.), Wharton School, University of Pennsylvania Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.K., R.M.M., P.W.G.), Wharton School, University of Pennsylvania Philadelphia
- Perelman School of Medicine, and Leonard Davis Institute of Health Economics (A.S.K., R.M.M., P.W.G., A.M., Z.F.M.), Wharton School, University of Pennsylvania Philadelphia
| | - Nicholas Illenberger
- Department of Population Health, NYU Grossman School of Medicine (N.I.), New York, New York
| | - Zachary F Meisel
- Center for Emergency Care Policy and Research, Department of Emergency Medicine (A.S.K., R.M.M., Z.F.M.), Wharton School, University of Pennsylvania Philadelphia
- Perelman School of Medicine, and Leonard Davis Institute of Health Economics (A.S.K., R.M.M., P.W.G., A.M., Z.F.M.), Wharton School, University of Pennsylvania Philadelphia
| | - Peter W Groeneveld
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.K., R.M.M., P.W.G.), Wharton School, University of Pennsylvania Philadelphia
- Perelman School of Medicine, and Leonard Davis Institute of Health Economics (A.S.K., R.M.M., P.W.G., A.M., Z.F.M.), Wharton School, University of Pennsylvania Philadelphia
| | - Manqing Liu
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University Boston, Massachusetts (M.L.)
| | - Angira Mondal
- Perelman School of Medicine, and Leonard Davis Institute of Health Economics (A.S.K., R.M.M., P.W.G., A.M., Z.F.M.), Wharton School, University of Pennsylvania Philadelphia
| | - Nandita Mitra
- Department of Biostatistics, Epidemiology, and Informatics (N.M.), Wharton School, University of Pennsylvania Philadelphia
| | - Raina M Merchant
- Center for Emergency Care Policy and Research, Department of Emergency Medicine (A.S.K., R.M.M., Z.F.M.), Wharton School, University of Pennsylvania Philadelphia
- Penn Cardiovascular Outcomes, Quality, and Evaluative Research Center (A.S.K., R.M.M., P.W.G.), Wharton School, University of Pennsylvania Philadelphia
- Perelman School of Medicine, and Leonard Davis Institute of Health Economics (A.S.K., R.M.M., P.W.G., A.M., Z.F.M.), Wharton School, University of Pennsylvania Philadelphia
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Antohi LE, Adamo M, Chioncel O. Long-term Survival after Acute Heart Failure Hospitalization; From Observation to Collaborative Interventions. Eur J Heart Fail 2022; 24:1529-1531. [PMID: 35918910 DOI: 10.1002/ejhf.2645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 11/07/2022] Open
Affiliation(s)
- Laura E Antohi
- Emergency Institute for Cardiovascular Diseases 'Prof. Dr. C.C. Iliescu', Bucharest, Romania
| | - Marianna Adamo
- Cardiology and Cardiac Catheterization Laboratory, ASST Spedali Civili di Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Ovidiu Chioncel
- Emergency Institute for Cardiovascular Diseases 'Prof. Dr. C.C. Iliescu', Bucharest, Romania
- University of Medicine and Pharmacy 'Carol Davila', Bucharest, Romania
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Srivastava S, Vemulapalli B, Okoh AK, Kassotis J. Disparity in hospital admissions and length of stay based on income status for emergency department hypertensive crisis visits. J Hypertens 2022; 40:1607-1613. [PMID: 35788558 PMCID: PMC10024970 DOI: 10.1097/hjh.0000000000003193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Racial, gender, and socioeconomic status have been shown to impact the delivery of care. How this impacts the management of hypertensive crisis remains unclear. We aim to identify disparities on admission frequency and length of stay (LOS) among those presenting with hypertensive crisis, as a function of household income. METHODS This is a cross-sectional analysis of 2016 emergency department visits and supplemental inpatient data from the Nationwide Emergency Department Sample. Median household income quartiles were established. A multivariable logistic regression model was used to estimate odds of admission in each income quartile. A multivariable linear regression model was used to predict LOS. RESULTS After applying sample weighting, the total number of emergency department visits was 33 727 with 6906, 25 443, and 1378 visits for hypertensive emergency, hypertensive urgency, and unspecified crisis, respectively. There were 13 191, 8889, 6400, 5247 visits in the (first) lowest, second, third , and fourth (highest) income quartiles, respectively. The median age for the study population was 60. The most common comorbidity was chronic kidney disease. Individuals with the highest income, had a lower likelihood of admission, compared with the lowest quartile (adjusted odds ratio: 0.41, 95% CI 0.22-0.74). There was a significant association between income quartile and LOS among hypertensive emergency patients (beta coefficient: 0.407, P value = 0.019). CONCLUSION In this study, patients with lower income were more likely to be admitted, whereas those with higher income exhibited a longer LOS. Clinicians must be made aware these disparities to ensure equitable delivery of care.
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Affiliation(s)
- Shreya Srivastava
- Division of Cardiology, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Bhargav Vemulapalli
- Division of Cardiology, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | - Alexis K. Okoh
- Division of Cardiology, Department of Medicine, Emory University, Atlanta, Georgia, USA
| | - John Kassotis
- Division of Cardiology, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey
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26
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Yu B, Akushevich I, Yashkin AP, Yashin AI, Lyerly HK, Kravchenko J. Epidemiology of geographic disparities in heart failure among US older adults: a Medicare-based analysis. BMC Public Health 2022; 22:1280. [PMID: 35778761 PMCID: PMC9248157 DOI: 10.1186/s12889-022-13639-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 06/08/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND There are prominent geographic disparities in the life expectancy (LE) of older US adults between the states with the highest (leading states) and lowest (lagging states) LE and their causes remain poorly understood. Heart failure (HF) has been proposed as a major contributor to these disparities. This study aims to investigate geographic disparities in HF outcomes between the leading and lagging states. METHODS The study was a secondary data analysis of HF outcomes in older US adults aged 65+, using Center for Disease Control and Prevention sponsored Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database and a nationally representative 5% sample of Medicare beneficiaries over 2000-2017. Empiric estimates of death certificate-based mortality from HF as underlying cause of death (CBM-UCD)/multiple cause of death (CBM-MCD); HF incidence-based mortality (IBM); HF incidence, prevalence, and survival were compared between the leading and lagging states. Cox regression was used to investigate the effect of residence in the lagging states on HF incidence and survival. RESULTS Between 2000 and 2017, HF mortality rates (per 100,000) were higher in the lagging states (CBM-UCD: 188.5-248.6; CBM-MCD: 749.4-965.9; IBM: 2656.0-2978.4) than that in the leading states (CBM-UCD: 79.4-95.6; CBM-MCD: 441.4-574.1; IBM: 1839.5-2138.1). Compared to their leading counterparts, lagging states had higher HF incidence (2.9-3.9% vs. 2.2-2.9%), prevalence (15.6-17.2% vs. 11.3-13.0%), and pre-existing prevalence at age 65 (5.3-7.3% vs. 2.8-4.1%). The most recent rates of one- (77.1% vs. 80.4%), three- (59.0% vs. 60.7%) and five-year (45.8% vs. 49.8%) survival were lower in the lagging states. A greater risk of HF incidence (Adjusted Hazards Ratio, AHR [95%CI]: 1.29 [1.29-1.30]) and death after HF diagnosis (AHR: 1.12 [1.11-1.13]) was observed for populations in the lagging states. The study also observed recent increases in CBMs and HF incidence, and declines in HF prevalence, prevalence at age 65 and survival with a decade-long plateau stage in IBM in both leading and lagging states. CONCLUSION There are substantial geographic disparities in HF mortality, incidence, prevalence, and survival across the U.S.: HF incidence, prevalence at age 65 (age of Medicare enrollment), and survival of patients with HF contributed most to these disparities. The geographic disparities and the recent increase in incidence and decline in survival underscore the importance of HF prevention strategies.
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Affiliation(s)
- Bin Yu
- Department of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA.
- Social Science Research Institute, Duke University, Durham, NC, 27710, USA.
- Department of Epidemiology and Health Statistics, School of Public Health, Wuhan University, Wuhan, 430071, China.
| | - Igor Akushevich
- Social Science Research Institute, Duke University, Durham, NC, 27710, USA
| | - Arseniy P Yashkin
- Social Science Research Institute, Duke University, Durham, NC, 27710, USA
| | - Anatoliy I Yashin
- Social Science Research Institute, Duke University, Durham, NC, 27710, USA
| | - H Kim Lyerly
- Department of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA
| | - Julia Kravchenko
- Department of Surgery, Duke University School of Medicine, Durham, NC, 27710, USA
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Information exchange among providers and patient-centeredness in transitional care: A five-year retrospective analysis. Healthcare (Basel) 2022; 10:100626. [DOI: 10.1016/j.hjdsi.2022.100626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 01/18/2022] [Accepted: 03/08/2022] [Indexed: 11/19/2022] Open
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Abstract
PURPOSE OF REVIEW The past decade has brought increased efforts to better understand causes for ACS readmissions and strategies to minimize them. This review seeks to provide a critical appraisal of this rapidly growing body of literature. RECENT FINDINGS Prior to 2010, readmission rates for patients suffering from ACS remained relatively constant. More recently, several strategies have been implemented to mitigate this including improved risk assessment models, transition care bundles, and development of targeted programs by federal organizations and professional societies. These strategies have been associated with a significant reduction in ACS readmission rates in more recent years. With this, improvements in 30-day post-discharge mortality rates are also being appreciated. As we continue to expand our knowledge on independent risk factors for ACS readmissions, further strategies targeting at-risk populations may further decrease the rate of readmissions. Efforts to understand and reduce 30-day ACS readmission rates have resulted in overall improved quality of care for patients.
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Janwanishstaporn S, Karaketklang K, Krittayaphong R. National trend in heart failure hospitalization and outcome under public health insurance system in Thailand 2008-2013. BMC Cardiovasc Disord 2022; 22:203. [PMID: 35488204 PMCID: PMC9052701 DOI: 10.1186/s12872-022-02629-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 04/08/2022] [Indexed: 11/29/2022] Open
Abstract
Background There are limited data on the burden, characteristics, and outcomes of hospitalized heart failure (HF) patients in Thailand. The aim of this study was to investigate national trend in HF hospitalization rate, in-hospital and 1-year mortality rate, and rehospitalization rate in Thailand. Methods We analyzed the claims data of hospitalized patients obtained from the three major Thailand public health reimbursement systems between 2008 and 2013. Patients aged ≥ 18 years with a principal diagnosis of HF by the International Classification of Diseases, Tenth Revision, Thai modification were included. Comorbidities were identified by secondary diagnosis codes. The annual rate of HF hospitalization was calculated per 100,000 beneficiaries. Records of subsequent hospitalization of discharged patients were retrieved. For 1-year mortality rate, vital status of each patient was obtained from Thai Civil Registration of Death database. All outcomes were tested for linear trends across calendar years. Results Between 2008 and 2013, 434,933 HF hospitalizations were identified. The mean age was 65.3 years (SD 14.6), and 58.1% were female. The HF hospitalization rate increased from 138 in 2008 to 168 per 100,000 beneficiaries in 2013 (P for trend < 0.001). Nearly half (47.4%) had had a prior HF admission within 1 year. A small proportion of patients (7.4%) received echocardiography during hospitalization. The median length of hospital stay was 3 days. In-hospital mortality declined from 4.4 to 3.8% (P for trend < 0.001). The overall 30-day and 1-year rehospitalization rates were 34 and 73%, respectively, without significant trends over the study period. Most common cause of 30-day rehospitalization was HF (42%). One-year mortality decreased from 31.8% in 2008 to 28.5% in 2012 (P for trend < 0.001). Conclusion Between 2008 and 2013, HF hospitalization rate in Thailand increased. The in-hospital and 1-year mortality rates decreased slightly. However, the rehospitalization rate remained high mainly due to recurrent HF hospitalization. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-022-02629-2.
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Affiliation(s)
- Satit Janwanishstaporn
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. .,Division of Cardiology, Department of Medicine, Siriraj Hospital, Mahidol University, 2 Wanglang Road Bangkoknoi, Bangkok, 10700, Thailand.
| | - Khemajira Karaketklang
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Rungroj Krittayaphong
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
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Pinheiro D, Hartman R, Mai J, Romero E, Soroya M, Bastos-Filho C, de Carvalho Lima R, Gibson M, Ebong I, Bidwell J, Nuno M, Cadeiras M. The Association of Shared Care Networks With 30-Day Heart Failure Excessive Hospital Readmissions: Longitudinal Observational Study. JMIRX MED 2022; 3:e30777. [PMID: 37725539 PMCID: PMC10414461 DOI: 10.2196/30777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 10/30/2021] [Accepted: 01/27/2022] [Indexed: 09/21/2023]
Abstract
BACKGROUND Higher-than-expected heart failure (HF) readmissions affect half of US hospitals every year. The Hospital Reduction Readmission Program has reduced risk-adjusted readmissions, but it has also produced unintended consequences. Shared care models have been advocated for HF care, but the association of shared care networks with HF readmissions has never been investigated. OBJECTIVE This study aims to evaluate the association of shared care networks with 30-day HF excessive readmission rates using a longitudinal observational study. METHODS We curated publicly available data on hospital discharges and HF excessive readmission ratios from hospitals in California between 2012 and 2017. Shared care areas were delineated as data-driven units of care coordination emerging from discharge networks. The localization index, the proportion of patients who reside in the same shared care area in which they are admitted, was calculated by year. Generalized estimating equations were used to evaluate the association between the localization index and the excessive readmission ratio of hospitals controlling for race/ethnicity and socioeconomic factors. RESULTS A total of 300 hospitals in California in a 6-year period were included. The HF excessive readmission ratio was negatively associated with the adjusted localization index (β=-.0474, 95% CI -0.082 to -0.013). The percentage of Black residents within the shared care areas was the only statistically significant covariate (β=.4128, 95% CI 0.302 to 0.524). CONCLUSIONS Higher-than-expected HF readmissions were associated with shared care networks. Control mechanisms such as the Hospital Reduction Readmission Program may need to characterize and reward shared care to guide hospitals toward a more organized HF care system.
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Affiliation(s)
- Diego Pinheiro
- Unicap-Icam International School, Universidade Católica de Pernambuco, Recife, Brazil
| | | | - Jing Mai
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California, Davis, Sacramento, CA, United States
| | - Erick Romero
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California, Davis, Sacramento, CA, United States
| | - Mohammad Soroya
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California, Davis, Sacramento, CA, United States
| | | | | | - Michael Gibson
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California, Davis, Sacramento, CA, United States
| | - Imo Ebong
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California, Davis, Sacramento, CA, United States
| | - Julie Bidwell
- Family Caregiving Institute, Betty Irene Moore School of Nursing, University of California, Davis, Sacramento, CA, United States
| | - Miriam Nuno
- Department of Public Health Sciences, Division of Biostatistics, University of California, Davis, Sacramento, CA, United States
| | - Martin Cadeiras
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of California, Davis, Sacramento, CA, United States
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Banerjee S, Paasche-Orlow MK, McCormick D, Lin MY, Hanchate AD. Readmissions performance and penalty experience of safety-net hospitals under Medicare's Hospital Readmissions Reduction Program. BMC Health Serv Res 2022; 22:338. [PMID: 35287693 PMCID: PMC8922916 DOI: 10.1186/s12913-022-07741-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 02/28/2022] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND The Hospital Readmissions Reduction Program (HRRP), established by the Centers for Medicare and Medicaid Services (CMS) in March 2010, introduced payment-reduction penalties on acute care hospitals with higher-than-expected readmission rates for acute myocardial infarction (AMI), heart failure, and pneumonia. There is concern that hospitals serving large numbers of low-income and uninsured patients (safety-net hospitals) are at greater risk of higher readmissions and penalties, often due to factors that are likely outside the hospital's control. Using publicly reported data, we compared the readmissions performance and penalty experience among safety-net and non-safety-net hospitals. METHODS We used nationwide hospital level data for 2009-2016 from the Centers for Medicare and Medicaid Services (CMS) Hospital Compare program, CMS Final Impact Rule, and the American Hospital Association Annual Survey. We identified as safety-net hospitals the top quartile of hospitals in terms of the proportion of patients receiving income-based public benefits. Using a quasi-experimental difference-in-differences approach based on the comparison of pre- vs. post-HRRP changes in (risk-adjusted) 30-day readmission rate in safety-net and non-safety-net hospitals, we estimated the change in readmissions rate associated with HRRP. We also compared the penalty frequency among safety-net and non-safety-net hospitals. RESULTS Our study cohort included 1915 hospitals, of which 479 were safety-net hospitals. At baseline (2009), safety-net hospitals had a slightly higher readmission rate compared to non-safety net hospitals for all three conditions: AMI, 20.3% vs. 19.8% (p value< 0.001); heart failure, 25.2% vs. 24.2% (p-value< 0.001); pneumonia, 18.7% vs. 18.1% (p-value< 0.001). Beginning in 2012, readmission rates declined similarly in both hospital groups for all three cohorts. Based on difference-in-differences analysis, HRRP was associated with similar change in the readmissions rate in safety-net and non-safety-net hospitals for AMI and heart failure. For the pneumonia cohort, we found a larger reduction (0.23%; p < 0.001) in safety-net hospitals. The frequency of readmissions penalty was higher among safety-net hospitals. The proportion of hospitals penalized during all four post-HRRP years was 72% among safety-net and 59% among non-safety-net hospitals. CONCLUSIONS Our results lend support to the concerns of disproportionately higher risk of performance-based penalty on safety-net hospitals.
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Affiliation(s)
- Souvik Banerjee
- Department of Humanities and Social Sciences, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India
| | - Michael K Paasche-Orlow
- Section of General Internal Medicine, Boston University School of Medicine, Boston, MA, USA.,Boston Medical Center, Boston, MA, USA
| | - Danny McCormick
- Harvard Medical School, Boston, USA.,Division of Social and Community Medicine, Department of Medicine, Cambridge Health Alliance, Cambridge, MA, USA
| | - Meng-Yun Lin
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157-1063, USA
| | - Amresh D Hanchate
- Division of Public Health Sciences, Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157-1063, USA.
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Williams CL, Pujalte G, Li Z, Vomer RP, Nishi M, Kieneker L, Ortiguera CJ. Which Factors Predict 30-Day Readmission After Total Hip and Knee Replacement Surgery? Cureus 2022; 14:e23093. [PMID: 35464578 PMCID: PMC9001084 DOI: 10.7759/cureus.23093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/12/2022] [Indexed: 11/17/2022] Open
Abstract
Background The Centers for Medicare and Medicaid Services enacted the Hospital Readmissions Reduction Program to impose penalties for diagnoses with high readmission rates. Despite several elective orthopedic procedures being included in this program, readmission rates have not declined, and associated costs have reached critical levels for total knee and total hip arthroplasty. Readmissions drastically impact patient outcomes. There are many known contributors to patient readmission rates, including infection, pain, and hematomas. However, evidence is inconclusive regarding other aspects, such as demographics, insurance, and discharge disposition. The purpose of this manuscript is to 1) measure hospital readmission rates for total knee and total hip arthroplasty, 2) evaluate the causes of readmissions, and 3) provide a predictive profile of risk factors associated with hospital readmissions. Methods Patients who underwent total knee or total hip arthroplasty were identified through a retrospective database review. An electronic chart review extracted data concerning patient demographics, comorbidities, surgical information, 30-day outcomes, and reasons for 30-day readmissions. Continuous and categorical variables were assessed with the Wilcoxon rank-sum test and the Chi-square test, respectively. Results A total of 6,065 patients were included, with 269 (4.4%) having at least one surgery-related 30-day readmission. No differences in readmission were noted with age, sex, or ethnicity; however, differences were found in weight and body mass index. Statistically significant comorbidities were heart failure, chronic obstructive pulmonary disease, dialysis, and alcohol use or abuse. Conclusion Our research indicated that surgery type, length of stay, and heart failure most significantly impacted 30-day readmission rates. By assessing readmission rates, we can take steps to optimize care for non-elective surgeries that will improve patient outcomes and cost-effectiveness.
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Heidenreich PA, Fonarow GC, Opsha Y, Sandhu AT, Sweitzer NK, Warraich HJ. Economic Issues in Heart Failure in the United States. J Card Fail 2022; 28:453-466. [PMID: 35085762 PMCID: PMC9031347 DOI: 10.1016/j.cardfail.2021.12.017] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 11/16/2021] [Accepted: 12/20/2021] [Indexed: 12/27/2022]
Abstract
The cost of heart failure care is high owing to the cost of hospitalization and chronic treatments. Heart failure treatments vary in their benefit and cost. The cost effectiveness of therapies can be determined by comparing the cost of treatment required to obtain a certain benefit, often defined as an increase in 1 year of life. This review was sponsored by the Heart Failure Society of America and describes the growing economic burden of heart failure for patients and the health care system in the United States. It also provides a summary of the cost effectiveness of drugs, devices, diagnostic tests, hospital care, and transitions of care for patients with heart failure. Many medications that are no longer under patent are inexpensive and highly cost-effective. These include angiotensin-converting enzyme inhibitors, beta-blockers and mineralocorticoid receptor antagonists. In contrast, more recently developed medications and devices, vary in cost effectiveness, and often have high out-of-pocket costs for patients.
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Affiliation(s)
- Paul A. Heidenreich
- Department of Medicine, Stanford University School of Medicine, Stanford, CA,VA Palo Alto Health Care System, Palo Alto, CA
| | - Gregg C. Fonarow
- Division of Cardiology, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA
| | - Yekaterina Opsha
- Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ,Saint Barnabas Medical Center, Livingston, NJ
| | - Alexander T. Sandhu
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Nancy K. Sweitzer
- Division of Cardiology, University of Arizona College of Medicine, Tucson, AZ
| | - Haider J. Warraich
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,Department of Medicine, Cardiology Section, VA Boston Healthcare System, Boston, MA
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Thyagaturu HS, Bolton AR, Li S, Gonuguntla K, Kumar A, Bianco C, Balla S. Effect of Cocaine, Amphetamine and Cannabis Use Disorders on 30-day Readmissions of Patients with Heart Failure. Curr Probl Cardiol 2022:101189. [DOI: 10.1016/j.cpcardiol.2022.101189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 03/22/2022] [Indexed: 11/03/2022]
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Freedland KE, Steinmeyer BC, Carney RM, Skala JA, Chen L, Rich MW. Depression and Hospital Readmissions in Patients with Heart Failure. Am J Cardiol 2022; 164:73-78. [PMID: 34876275 DOI: 10.1016/j.amjcard.2021.10.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 10/17/2021] [Accepted: 10/19/2021] [Indexed: 12/19/2022]
Abstract
Depression increases the risk of mortality in patients with heart failure (HF). Less is known about whether depression predicts multiple readmissions or whether multiple hospitalizations worsen depression in patients with HF. This study aimed to test the hypotheses that depression predicts multiple readmissions in patients hospitalized with HF, and conversely that multiple readmissions predict persistent or worsening depression. All-cause readmissions were ascertained over a 2-year follow-up of a cohort of 400 patients hospitalized with HF. The Patient Health Questionnaire-9 was used to assess depression at index and 3-month intervals. At enrollment in the study, 21% of the patients were mildly depressed and 22% were severely depressed. Higher Patient Health Questionnaire-9 depression scores predicted a higher rate of readmissions (adjusted hazard ratio 1.02, 95% confidence interval 1.00 to 1.04, p = 0.03). The readmission rate was higher in those who were severely depressed than in those without depression (p = 0.0003), but it did not differ between patients who were mildly depressed and patients without depression. Multiple readmissions did not predict persistent or worsening depression, but younger patients in higher New York Heart Association classes were more depressed than other patients. Depression is an independent risk factor for multiple all-cause readmissions in patients hospitalized with HF. Severe depression is a treatable psychiatric co-morbidity that warrants ongoing clinical attention in patients with HF.
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Affiliation(s)
| | | | | | | | | | - Michael W Rich
- Cardiovascular Division of the Department of Internal Medicine, Washington University School of Medicine in St. Louis, St. Louis, Missouri
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Cox ZL, Nandkeolyar S, Johnson AJ, Lindenfeld J, Rali AS. In-hospital Initiation and Up-titration of Guideline-directed Medical Therapies for Heart Failure with Reduced Ejection Fraction. Card Fail Rev 2022; 8:e21. [PMID: 35815257 PMCID: PMC9253962 DOI: 10.15420/cfr.2022.08] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 04/16/2022] [Indexed: 11/04/2022] Open
Abstract
Implementation of guideline-directed medical therapy for patients with heart failure is suboptimal. The use of guideline-directed medical therapy improves minimally after heart failure hospitalisation, despite this event clearly indicating increased risk of further hospitalisation and death. In-hospital initiation and titration of guideline-directed medical therapies is one potential strategy to fill these gaps in care, both in the acute vulnerable period after hospital discharge and in the long term. The purpose of this article is to review the knowledge gaps in best practices of in-hospital initiation and up-titration of guideline-directed medical therapies, the benefits and risks of in-hospital initiation and post-discharge focused titration of guideline-directed medical therapies, the recent literature evaluating these practices, and propose strategies to apply these principles to the care of patients with heart failure with reduced ejection fraction.
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Affiliation(s)
- Zachary L Cox
- Department of Pharmacy Practice, Lipscomb University College of PharmacyNashville, TN, US
- Department of Pharmacy, Vanderbilt University Medical CenterNashville, TN, US
| | - Shuktika Nandkeolyar
- Division of Cardiovascular Medicine, Vanderbilt University Medical CenterNashville, TN, US
| | - Andrew J Johnson
- Department of Pharmacy, Vanderbilt University Medical CenterNashville, TN, US
| | - JoAnn Lindenfeld
- Division of Cardiovascular Medicine, Vanderbilt University Medical CenterNashville, TN, US
| | - Aniket S Rali
- Division of Cardiovascular Medicine, Vanderbilt University Medical CenterNashville, TN, US
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Key Role of the Korean Society of Heart Failure: Moving Towards a Global and Individualized Approach. INTERNATIONAL JOURNAL OF HEART FAILURE 2022; 4:136-138. [PMID: 36262798 PMCID: PMC9383354 DOI: 10.36628/ijhf.2022.0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 06/20/2022] [Indexed: 11/21/2022]
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Hu JR, Yo CH, Lee HY, Su CH, Su MY, Huang AH, Liu Y, Hsu WT, Lee M, Chen YC, Lee CC. Risk-standardized sepsis mortality map of the United States. Digit Health 2022; 8:20552076211072400. [PMID: 35096409 PMCID: PMC8796072 DOI: 10.1177/20552076211072400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 12/13/2021] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE Sepsis is the leading cause of in-hospital mortality in the United States (US). Quality improvement initiatives for improving sepsis care depend on accurate estimates of sepsis mortality. While hospital 30-day risk-standardized mortality rates have been published for patients hospitalized with acute myocardial infarction, heart failure, and pneumonia, risk-standardized mortality rates for sepsis have not been well characterized. We aimed to construct a sepsis risk-standardized mortality rate map for the United States, to illustrate disparities in sepsis care across the country. METHODS This cross-sectional study included adults from the US Nationwide Inpatient Sample who were hospitalized with sepsis between 1 January 2010 and 30 December 2011. Hospital-level risk-standardized mortality rates were calculated using hierarchical logistic modelling, and were risk-adjusted with predicted mortality derived from (1) the Sepsis Risk Prediction Score, a logistic regression model, and (2) gradient-boosted decision trees, a supervised machine learning (ML) algorithm. RESULTS Among 1,739,033 adults hospitalized with sepsis, 50% were female, and the median age was 71 years (interquartile range: 58-81). The national median risk-standardized mortality rate for sepsis was 18.4% (interquartile range: 17.0, 21.0) by the boosted tree model, which had better discrimination than the Sepsis Risk Prediction Score model (C-statistic 0.87 and 0.78, respectively). The highest risk-standardized mortality rates were found in Wyoming, North Dakota, and Mississippi, while the lowest were found in Arizona, Colorado, and Michigan. CONCLUSIONS Wide variation exists in sepsis risk-standardized mortality rates across states, representing opportunities for improvement in sepsis care. This represents the first map of state-level variation of risk-standardized mortality rates in sepsis.
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Affiliation(s)
- Jiun-Ruey Hu
- Department of Internal Medicine, Yale School of Medicine, USA
| | - Chia-Hung Yo
- Department of Emergency Medicine, Far Eastern Memorial Hospital, Taiwan
| | - Hsin-Ying Lee
- Department of Medicine, College of Medicine, National Taiwan University, Taiwan
| | - Chin-Hua Su
- Department of Emergency Medicine, National Taiwan University Hospital, Taiwan
| | - Ming-Yang Su
- Department of Surgery, Chang Gung Memorial Hospital, Taiwan
| | - Amy Huaishiuan Huang
- Department of Emergency Medicine, National Taiwan University Hospital, Taiwan
- Department of Internal Medicine, Taipei City Hospital, Renai Branch, Taiwan
| | - Ye Liu
- Department of Health Care Organization and Policy, University of Alabama at Birmingham, School of Public Health, USA
| | - Wan-Ting Hsu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, USA
| | | | - Yee-Chun Chen
- Department of Medicine, College of Medicine, National Taiwan University, Taiwan
- Department of Internal Medicine,National Taiwan University, Taiwan
| | - Chien-Chang Lee
- Department of Emergency Medicine, National Taiwan University Hospital, Taiwan
- Center of Intelligent Healthcare, National Taiwan University Hospital, Taiwan
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Witrick B, Kalbaugh CA, Shi L, Mayo R, Hendricks B. Geographic Disparities in Readmissions for Peripheral Artery Disease in South Carolina. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 19:285. [PMID: 35010545 PMCID: PMC8751080 DOI: 10.3390/ijerph19010285] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/22/2021] [Accepted: 12/24/2021] [Indexed: 06/14/2023]
Abstract
Readmissions constitute a major health care burden among peripheral artery disease (PAD) patients. This study aimed to 1) estimate the zip code tabulation area (ZCTA)-level prevalence of readmission among PAD patients and characterize the effect of covariates on readmissions; and (2) identify hotspots of PAD based on estimated prevalence of readmission. Thirty-day readmissions among PAD patients were identified from the South Carolina Revenue and Fiscal Affairs Office All Payers Database (2010-2018). Bayesian spatial hierarchical modeling was conducted to identify areas of high risk, while controlling for confounders. We mapped the estimated readmission rates and identified hotspots using local Getis Ord (G*) statistics. Of the 232,731 individuals admitted to a hospital or outpatient surgery facility with PAD diagnosis, 30,366 (13.1%) experienced an unplanned readmission to a hospital within 30 days. Fitted readmission rates ranged from 35.3 per 1000 patients to 370.7 per 1000 patients and the risk of having a readmission was significantly associated with the percentage of patients who are 65 and older (0.992, 95%CI: 0.985-0.999), have Medicare insurance (1.013, 1.005-1.020), and have hypertension (1.014, 1.005-1.023). Geographic analysis found significant variation in readmission rates across the state and identified priority areas for targeted interventions to reduce readmissions.
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Affiliation(s)
- Brian Witrick
- Department of Public Health Sciences, Clemson University, Clemson, SC 29631, USA; (C.A.K.); (L.S.); (R.M.)
| | - Corey A. Kalbaugh
- Department of Public Health Sciences, Clemson University, Clemson, SC 29631, USA; (C.A.K.); (L.S.); (R.M.)
- Department of Bioengineering, Clemson University, Clemson, SC 29631, USA
| | - Lu Shi
- Department of Public Health Sciences, Clemson University, Clemson, SC 29631, USA; (C.A.K.); (L.S.); (R.M.)
| | - Rachel Mayo
- Department of Public Health Sciences, Clemson University, Clemson, SC 29631, USA; (C.A.K.); (L.S.); (R.M.)
| | - Brian Hendricks
- Department of Epidemiology and Biostatistics, West Virginia University School of Public Health, Morgantown, WV 26505, USA;
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Yu B, Akushevich I, Yashkin AP, Kravchenko J. Epidemiology of Geographic Disparities of Myocardial Infarction Among Older Adults in the United States: Analysis of 2000-2017 Medicare Data. Front Cardiovasc Med 2021; 8:707102. [PMID: 34568451 PMCID: PMC8458897 DOI: 10.3389/fcvm.2021.707102] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 07/29/2021] [Indexed: 01/29/2023] Open
Abstract
Background: There are substantial geographic disparities in the life expectancy (LE) across the U.S. with myocardial infarction (MI) contributing significantly to the differences between the states with highest (leading) and lowest (lagging) LE. This study aimed to systematically investigate the epidemiology of geographic disparities in MI among older adults. Methods: Data on MI outcomes among adults aged 65+ were derived from the Center for Disease Control and Prevention-sponsored Wide-Ranging Online Data for Epidemiologic Research database and a 5% sample of Medicare Beneficiaries for 2000–2017. Death certificate-based mortality from MI as underlying/multiple cause of death (CBM-UCD/CBM-MCD), incidence-based mortality (IBM), incidence, prevalence, prevalence at age 65, and 1-, 3-, and 5-year survival, and remaining LE at age 65 were estimated and compared between the leading and lagging states. Cox model was used to investigate the effect of residence in the lagging states on MI incidence and survival. Results: Between 2000 and 2017, MI mortality was higher in the lagging than in the leading states (per 100,000, CBM-UCD: 236.7–583.7 vs. 128.2–357.6, CBM-MCD: 322.7–707.7 vs. 182.4–437.7, IBM: 1330.5–1518.9 vs. 1003.3–1197.0). Compared to the leading states, lagging states had higher MI incidence (1.1–2.0% vs. 0.9–1.8%), prevalence (10.2–13.1% vs. 8.3–11.9%), pre-existing prevalence (2.5–5.1% vs. 1.4–3.6%), and lower survival (70.4 vs. 77.2% for 1-year, 63.2 vs. 67.2% for 3-year, and 52.1 vs. 58.7% for 5-year), and lower remaining LE at age 65 among MI patients (years, 8.8–10.9 vs. 9.9–12.8). Cox model results showed that the lagging states had greater risk of MI incidence [Adjusted hazards ratio, AHR (95% Confidence Interval, CI): 1.18 (1.16, 1.19)] and death after MI diagnosis [1.22 (1.21, 1.24)]. Study results also showed alarming declines in survival and remaining LE at age 65 among MI patients. Conclusion: There are substantial geographic disparities in MI outcomes, with lagging states having higher MI mortality, incidence, and prevalence, lower survival and remaining LE at age 65. Disparities in MI mortality in a great extent could be due to between-the-state differences in MI incidence, prevalence at age 65 and survival. Observed declines in survival and remaining LE require an urgent analysis of contributing factors that must be addressed.
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Affiliation(s)
- Bin Yu
- Department of Surgery, School of Medicine, Duke University, Durham, NC, United States.,Social Science Research Institute, Duke University, Durham, NC, United States.,Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, China
| | - Igor Akushevich
- Social Science Research Institute, Duke University, Durham, NC, United States
| | - Arseniy P Yashkin
- Social Science Research Institute, Duke University, Durham, NC, United States
| | - Julia Kravchenko
- Department of Surgery, School of Medicine, Duke University, Durham, NC, United States
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Feldman BA, Rivera OE, Greb CJ, Jacoby JL, Nesfeder J, Secheresiu P, Shah M, Sundlof DW. "House Calls" by Mobile Integrated Health Paramedics for Patients with Heart Failure: A Feasibility Study. PREHOSP EMERG CARE 2021; 26:747-755. [PMID: 34505798 DOI: 10.1080/10903127.2021.1977439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background: Early readmissions following hospital discharge for heart failure (HF) remain a major concern. Among the various strategies designed to reduce readmissions, home evaluations have been observed to have a favorable impact. We assessed the feasibility of integrating community paramedics into the outpatient management of HF patients.Methods: Selected paramedics completed an educational HF curriculum. These Mobile Integrated Health Paramedics (MIHP) performed scheduled home visits 2- and 15-days post-discharge for patients with Stage C HF (Phase I) and patients with Stage D HF (Phase II). Facilitated by a Call Center, a process was created for performing urgent MIHP house calls within 60 minutes of a medical provider's request. A HF specialist, with an on-call emergency department command physician, could order an intravenous diuretic during home visits. During each phase of the study the incidence of 30-day HF readmissions, 30-day all-cause readmissions, emergency room evaluations, unplanned office encounters, as well as any adverse events were prospectively documented.Results: Collaborative relationships between our hospital network and local EMS organizations were created. There were 82 MIHP home visits. Eight patients received urgent home evaluations within 60-minutes post-request, one requiring transport to an ED. The incidence of all-cause 30-day readmissions in 20 Stage C and 20 Stage D patients was 15% and 40%, respectively. There were no adverse events attributable to the MIHP house calls.Conclusions: It is feasible to integrate MIHPs into the outpatient management of HF. Signals of effectiveness for reducing early readmissions were observed. Obstacles to creating an effective paramedic "House Calls" program were identified. A randomized trial is required to assess the value of this care process and its impact on early readmissions in patients with Stage C and Stage D HF.
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Washida K, Kato T, Ozasa N, Morimoto T, Yaku H, Inuzuka Y, Tamaki Y, Seko Y, Yamamoto E, Yoshikawa Y, Kitai T, Yamashita Y, Iguchi M, Nagao K, Kawase Y, Morinaga T, Toyofuku M, Furukawa Y, Ando K, Kadota K, Sato Y, Kuwahara K, Kimura T. Risk Factors and Clinical Outcomes of Nonhome Discharge in Patients With Acute Decompensated Heart Failure: An Observational Study. J Am Heart Assoc 2021; 10:e020292. [PMID: 34325523 PMCID: PMC8475677 DOI: 10.1161/jaha.120.020292] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Background No clinical studies have focused on the factors associated with discharge destination in patients with acute decompensated heart failure. Methods and Results Of 4056 consecutive patients hospitalized for acute decompensated heart failure in the KCHF (Kyoto Congestive Heart Failure) registry, we analyzed 3460 patients hospitalized from their homes and discharged alive. There were 3009 and 451 patients who were discharged to home and nonhome, respectively. We investigated the factors associated with nonhome discharge and compared the outcomes between home discharge and nonhome discharge. Factors independently and positively associated with nonhome discharge were age ≥80 years (odds ratio [OR],1.76; 95% CI,1.28–2.42), body mass index ≤22 kg/m2 (OR,1.49; 95% CI,1.12–1.97), poor medication adherence (OR, 2.08; 95% CI,1.49–2.88), worsening heart failure (OR, 2.02; 95% CI, 1.46–2.82), stroke during hospitalization (OR, 3.74; 95% CI, 1.75–8.00), functional decline (OR, 12.24; 95% CI, 8.74–17.14), and length of hospital stay >16 days (OR, 4.14; 95% CI, 3.01–5.69), while those negatively associated were diabetes mellitus (OR, 0.69; 95% CI, 0.51–0.94), cohabitants (OR, 0.62; 95% CI, 0.46–0.85), and ambulatory state before admission (OR, 0.25; 95% CI, 0.18–0.36). The cumulative 1‐year incidence of all‐cause death was significantly higher in the nonhome discharge group than in the home discharge group. The nonhome discharge group compared with the nonhome discharge group was associated with a higher adjusted risk for all‐cause death (hazard ratio, 1.66; P<0.001). Conclusions The discharge destination of patients with acute decompensated heart failure is influenced by factors such as prehospital social background, age, body mass index, low self‐care ability, events during hospitalization (worsening heart failure, stroke, etc), functional decline, and length of hospital stay; moreover, the prognosis of nonhome discharge patients is worse than that of home discharge patients. Registration Information clinicaltrials.gov. Identifier: NCT02334891.
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Affiliation(s)
- Koichi Washida
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Takao Kato
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Neiko Ozasa
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Takeshi Morimoto
- Clinical Epidemiology Hyogo College of Medicine Nishinomiya Japan
| | - Hidenori Yaku
- Department of Cardiology Mitsubishi Kyoto Hospital Kyoto Japan
| | | | - Yodo Tamaki
- Division of Cardiology Tenri Hospital Nara Japan
| | - Yuta Seko
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Erika Yamamoto
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Yusuke Yoshikawa
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Takeshi Kitai
- Department of Cardiovascular Medicine Kobe City Medical Center General Hospital Hyogo Japan
| | - Yugo Yamashita
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
| | - Moritake Iguchi
- Department of Cardiology National Hospital Organization Kyoto Medical Center Kyoto Japan
| | - Kazuya Nagao
- Department of Cardiology Osaka Red Cross Hospital Osaka Japan
| | - Yuichi Kawase
- Department of Cardiology Kurashiki Central Hospital Okayama Japan
| | | | - Mamoru Toyofuku
- Department of Cardiology Japanese Red Cross Wakayama Medical Center Wakayama Japan
| | - Yutaka Furukawa
- Department of Cardiovascular Medicine Kobe City Medical Center General Hospital Hyogo Japan
| | - Kenji Ando
- Department of Cardiology Kokura Memorial Hospital Fukuoka Japan
| | - Kazushige Kadota
- Department of Cardiology Kurashiki Central Hospital Okayama Japan
| | - Yukihito Sato
- Department of Cardiology Hyogo Prefectural Amagasaki General Medical Center Hyogo Japan
| | - Koichiro Kuwahara
- Department of Cardiovascular Medicine Shinshu University Graduate School of Medicine Nagano Japan
| | - Takeshi Kimura
- Department of Cardiovascular Medicine Kyoto University Graduate School of Medicine Kyoto Japan
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Abstract
Designated as an emerging epidemic in 1997, heart failure (HF) remains a major clinical and public health problem. This review focuses on the most recent studies identified by searching the Medline database for publications with the subject headings HF, epidemiology, prevalence, incidence, trends between 2010 and present. Publications relevant to epidemiology and population sciences were retained for discussion in this review after reviewing abstracts for relevance to these topics. Studies of the epidemiology of HF over the past decade have improved our understanding of the HF syndrome and of its complexity. Data suggest that the incidence of HF is mostly flat or declining but that the burden of mortality and hospitalization remains mostly unabated despite significant ongoing efforts to treat and manage HF. The evolution of the case mix of HF continues to be characterized by an increasing proportion of cases with preserved ejection fraction, for which established effective treatments are mostly lacking. Major disparities in the occurrence, presentation, and outcome of HF persist particularly among younger Black men and women. These disturbing trends reflect the complexity of the HF syndrome, the insufficient mechanistic understanding of its various manifestations and presentations and the challenges of its management as a chronic disease, often integrated within a context of aging and multimorbidity. Emerging risk factors including omics science offer the promise of discovering new mechanistic pathways that lead to HF. Holistic management approaches must recognize HF as a syndemic and foster the implementation of multidisciplinary approaches to address major contributors to the persisting burden of HF including multimorbidity, aging, and social determinants of health.
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Affiliation(s)
- Véronique L Roger
- Department of Quantitative Health Sciences and Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN. Now at Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health. Véronique L Roger, MD, MPH is now at Chief, Epidemiology and Community Health Branch National Heart, Lung and Blood Institute, National Institutes of Health
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Khan MS, Sreenivasan J, Lateef N, Abougergi MS, Greene SJ, Ahmad T, Anker SD, Fonarow GC, Butler J. Trends in 30- and 90-Day Readmission Rates for Heart Failure. Circ Heart Fail 2021; 14:e008335. [PMID: 33866827 DOI: 10.1161/circheartfailure.121.008335] [Citation(s) in RCA: 102] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND The impact of hospital readmission reduction program (HRRP) on heart failure (HF) outcomes has been debated. Limited data exist regarding trends of HF readmission rates beyond 30 days from all-payer sources. The aim of this study was to investigate temporal trends of 30- and 90-day HF readmissions rates from 2010 to 2017 in patients from all-payer sources. METHODS The National Readmission Database was utilized to identify HF hospitalizations between 2010 and 2017. In the primary analysis, a linear trend in 30-day and 90-day readmissions from 2010 to 2017 was assessed. While in the secondary analysis, a change in aggregated 30- and 90-day all-cause and HF-specific readmissions pre-HRRP penalty phase (2010-2012) and post-HRRP penalties (2013-2017) was compared. Subgroup analyses were performed based on (1) Medicare versus non-Medicare insurance, (2) low versus high HF volume, and (3) HF with reduced versus preserved ejection fraction (heart failure with reduced ejection fraction and heart failure with preserved ejection fraction). Multiple logistic and adjusted linear regression analyses were performed for annual trends. RESULTS A total of 6 669 313 index HF hospitalizations for 30-day, and 5 077 949 index HF hospitalizations for 90-day readmission, were included. Of these, 1 213 402 (18.2%) encounters had a readmission within 30 days, and 1 585 445 (31.2%) encounters had a readmission within 90 days. Between 2010 and 2017, both 30 and 90 days adjusted HF-specific and all-cause readmissions increased (8.1% to 8.7%, P trend 0.04, and 18.3% to 19.9%, P trend <0.001 for 30-day and 14.8% to 16.0% and 30.9% to 34.6% for 90-day, P trend <0.001 for both, respectively). Readmission rates were higher during the post-HRRP penalty period compared with pre-HRRP penalty phase (all-cause readmission 30 days: 18.6% versus 17.5%, P<0.001, all-cause readmission 90 days: 32.0% versus 29.9%, P<0.001) across all subgroups except among the low-volume hospitals. CONCLUSIONS The rates of adjusted HF-specific and all-cause 30- and 90-day readmissions have increased from 2010 to 2017. Readmissions rates were higher during the HRRP phase across all subgroups except the low-volume hospitals.
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Affiliation(s)
| | - Jayakumar Sreenivasan
- Department of Cardiology, Westchester Medical Center and New York Medical College, Valhalla, NY (J.S.)
| | - Noman Lateef
- Department of Medicine, Creighton University, Nebraska, Omaha (N.L.)
| | - Marwan S Abougergi
- Department of Medicine, University of South Carolina School of Medicine, Columbia (M.S.A.)
| | - Stephen J Greene
- Division of Cardiology, Duke University School of Medicine, Durham, NC (S.J.G.)
| | - Tariq Ahmad
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (T.A.)
| | - Stefan D Anker
- Department of Cardiology (CVK) and Berlin Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité Universitätsmedizin Berlin, Germany (S.D.A.)
| | - Gregg C Fonarow
- Division of Cardiology, Ronald Reagan-UCLA Medical Center (G.C.F.)
| | - Javed Butler
- Department of Medicine, University of Mississippi, Jackson (J.B., M.S.K.)
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45
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DeVore AD, Joynt Maddox KE. Incorporating Patient Preferences Into Hospital Quality Metrics for Heart Failure. JAMA Cardiol 2021; 6:177-178. [PMID: 33112367 DOI: 10.1001/jamacardio.2020.4964] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Adam D DeVore
- Department of Medicine and Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| | - Karen E Joynt Maddox
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St Louis, Missouri.,Center for Health Economics and Policy, Institute for Public Health at Washington University, St Louis, Missouri
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46
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Wadhera RK, Joynt Maddox KE, Desai NR, Landon BE, Md MV, Gilstrap LG, Shen C, Yeh RW. Evaluation of Hospital Performance Using the Excess Days in Acute Care Measure in the Hospital Readmissions Reduction Program. Ann Intern Med 2021; 174:86-92. [PMID: 33045180 PMCID: PMC8165741 DOI: 10.7326/m20-3486] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The Hospital Readmissions Reduction Program (HRRP) has penalized hospitals with higher 30-day readmission rates more than $3 billion to date. Clinicians and policy experts have raised concerns that the 30-day readmission measure used in this program provides an incomplete picture of performance because it does not capture all hospital encounters that may occur after discharge. In contrast, the excess days in acute care (EDAC) measure, which currently is not used in the HRRP, captures the full spectrum of hospital encounters (emergency department, observation stay, inpatient readmission) and their associated lengths of stay within 30 days of discharge. This study of 3173 hospitals that participated in the HRRP in fiscal year 2019 compared performance on the readmission and EDAC measures and evaluated whether using the EDAC measure would change hospitals' penalty status for 3 conditions targeted by the HRRP. Overall, only moderate agreement was found on hospital performance rankings by using the readmission and EDAC measures (weighted κ statistic: heart failure, 0.45 [95% CI, 0.42 to 0.47]; acute myocardial infarction [AMI], 0.37 [CI, 0.35 to 0.40]; and pneumonia, 0.50 [CI, 0.47 to 0.52]). Under the HRRP, the penalty status of 769 (27.0%) of 2845 hospitals for heart failure, 581 (28.3%) of 2055 for AMI, and 724 (24.9%) of 2911 for pneumonia would change if the EDAC measure were used instead of the readmission measure to evaluate performance. Fewer small and rural hospitals would receive penalties. The Centers for Medicare & Medicaid Services should consider using the EDAC measure, which provides a more comprehensive picture of postdischarge hospital use, rather than the 30-day readmission measure to evaluate health care system performance under federal quality, reporting, and value-based programs.
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Affiliation(s)
- Rishi K Wadhera
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts (R.K.W., B.E.L., C.S., R.W.Y.)
| | | | - Nihar R Desai
- Yale-New Haven Hospital, New Haven, Connecticut (N.R.D.)
| | - Bruce E Landon
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts (R.K.W., B.E.L., C.S., R.W.Y.)
| | | | | | - Changyu Shen
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts (R.K.W., B.E.L., C.S., R.W.Y.)
| | - Robert W Yeh
- Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts (R.K.W., B.E.L., C.S., R.W.Y.)
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47
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Ferraris VA. Commentary: Adding time-dependent variables to readmission predictors-Not a perfect solution to limiting readmissions. J Thorac Cardiovasc Surg 2020; 164:957-958. [PMID: 33339598 DOI: 10.1016/j.jtcvs.2020.11.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 11/04/2020] [Accepted: 11/04/2020] [Indexed: 10/23/2022]
Affiliation(s)
- Victor A Ferraris
- Division of Cardiothoracic Surgery, University of Kentucky and Lexington VA Medical Center, Lexington, Ky.
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48
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Abraham WT, Psotka MA, Fiuzat M, Filippatos G, Lindenfeld J, Mehran R, Ambardekar AV, Carson PE, Jacob R, Januzzi JL, Konstam MA, Krucoff MW, Lewis EF, Piccini JP, Solomon SD, Stockbridge N, Teerlink JR, Unger EF, Zeitler EP, Anker SD, O'Connor CM. Standardized definitions for evaluation of heart failure therapies: scientific expert panel from the Heart Failure Collaboratory and Academic Research Consortium. Eur J Heart Fail 2020; 22:2175-2186. [PMID: 33017862 DOI: 10.1002/ejhf.2018] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 09/28/2020] [Accepted: 09/30/2020] [Indexed: 12/28/2022] Open
Abstract
The Heart Failure Academic Research Consortium is a partnership between the Heart Failure Collaboratory (HFC) and Academic Research Consortium (ARC), comprised of leading heart failure (HF) academic research investigators, patients, United States (US) Food and Drug Administration representatives, and industry members from the US and Europe. A series of meetings were convened to establish definitions and key concepts for the evaluation of HF therapies including optimal medical and device background therapy, clinical trial design elements and statistical concepts, and study endpoints. This manuscript summarizes the expert panel discussions as consensus recommendations focused on populations and endpoint definitions; it is not exhaustive or restrictive, but designed to stimulate HF clinical trial innovation.
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Affiliation(s)
- William T Abraham
- Division of Cardiovascular Medicine, The Ohio State University, Columbus, OH, USA
| | | | - Mona Fiuzat
- Duke University Medical Center and Duke Clinical Research Institute, Durham, NC, USA
| | - Gerasimos Filippatos
- University of Cyprus Medical School, Shakolas Educational Center for Clinical Medicine, Nicosia, Cyprus
| | - JoAnn Lindenfeld
- Heart Failure and Transplantation Section, Vanderbilt Heart and Vascular Institute, Nashville, TN, USA
| | - Roxana Mehran
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | | | - Peter E Carson
- Department of Cardiology, Washington Veterans Affairs Medical Center, Washington, DC, USA
| | | | - James L Januzzi
- Cardiology Division, Massachusetts General Hospital, Cardiometabolic Trials, Baim Institute for Clinical Research, Boston, MA, USA
| | - Marvin A Konstam
- The CardioVascular Center of Tufts Medical Center, Boston, MA, USA
| | - Mitchell W Krucoff
- Duke University Medical Center and Duke Clinical Research Institute, Durham, NC, USA
| | - Eldrin F Lewis
- Division of Cardiovascular Medicine, Stanford University, Palo Alto, CA, USA
| | - Jonathan P Piccini
- Duke University Medical Center and Duke Clinical Research Institute, Durham, NC, USA
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA
| | | | - John R Teerlink
- Section of Cardiology, San Francisco Veterans Affairs Medical Center and School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Ellis F Unger
- Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA
| | - Emily P Zeitler
- Dartmouth-Hitchcock Medical Center and The Dartmouth Institute, Lebanon, NH, USA
| | - Stefan D Anker
- Division of Cardiology and Metabolism, Department of Cardiology, Berlin-Brandenburg Center for Regenerative Therapies, German Centre for Cardiovascular Research Partner Site Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Christopher M O'Connor
- Inova Heart and Vascular Institute, Falls Church, VA, USA.,Duke University Medical Center and Duke Clinical Research Institute, Durham, NC, USA
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49
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Patel SA, Krasnow M, Long K, Shirey T, Dickert N, Morris AA. Excess 30-Day Heart Failure Readmissions and Mortality in Black Patients Increases With Neighborhood Deprivation. Circ Heart Fail 2020; 13:e007947. [PMID: 33161734 DOI: 10.1161/circheartfailure.120.007947] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Longstanding racial disparities in heart failure (HF) outcomes exist in the United States, in part, due to social determinants of health. We examined whether neighborhood environment modifies the disparity in 30-day HF readmissions and mortality between Black and White patients in the Southeastern United States. METHODS We created a geocoded retrospective cohort of patients hospitalized for acute HF within Emory Healthcare from 2010 to 2018. Quartiles of the Social Deprivation Index characterized neighborhood deprivation at the census tract level. We estimated the relative risk of 30-day readmission and 30-day mortality following an index hospitalization for acute HF. Excess readmissions and mortality were estimated as the absolute risk difference between Black and White patients within each Social Deprivation Index quartile, adjusted for geographic clustering, demographic, clinical, and hospital characteristics. RESULTS The cohort included 30 630 patients, mean age 66 years, 48% female, 53% Black. Compared with White patients, Black patients were more likely to reside in deprived census tracts and have higher comorbidity scores. From 2010 to 2018, 29.4% of Black and 23.0% of White patients experienced either a 30-day HF readmission or 30-day death (P<0.001). Excess in composite 30-day HF readmissions and mortality for Black patients ranged from 3.9% (95% CI, 1.5%-6.3%; P=0.0002) to 6.8% (95% CI, 4.1%-9.5%; P<0.0001) across Social Deprivation Index quartiles. Accounting for traditional risk factors did not eliminate the Black excess in combined 30-day HF readmissions or mortality in any of the neighborhood quartiles. CONCLUSIONS Excess 30-day HF readmissions and mortality are present among Black patients in every neighborhood strata and increase with progressive neighborhood socioeconomic deprivation.
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Affiliation(s)
- Shivani A Patel
- Emory Rollins School of Public Health, Atlanta, GA (S.A.P., K.L.)
| | - Maya Krasnow
- University of Chicago Pritzker School of Medicine, Chicago, IL (M.K.)
| | - Kaitlyn Long
- Emory Rollins School of Public Health, Atlanta, GA (S.A.P., K.L.)
| | - Theresa Shirey
- Department of Medicine, (T.S.), Emory University, Atlanta, GA
| | - Neal Dickert
- Division of Cardiology, (N.D., A.A.M.), Emory University, Atlanta, GA
| | - Alanna A Morris
- Division of Cardiology, (N.D., A.A.M.), Emory University, Atlanta, GA
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50
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Kurlansky P. Commentary: Readmission risk reduction and the new age of data integration. J Thorac Cardiovasc Surg 2020; 164:958-959. [PMID: 33162171 DOI: 10.1016/j.jtcvs.2020.10.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 10/06/2020] [Accepted: 10/07/2020] [Indexed: 11/29/2022]
Affiliation(s)
- Paul Kurlansky
- Division of Cardiac Surgery, Columbia University, New York, NY.
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