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Gottlieb M, Schraft E, O'Brien J, Patel D, Peksa GD. Prevalence of undiagnosed stage B heart failure among emergency department patients. Am J Emerg Med 2024; 85:153-157. [PMID: 39270552 DOI: 10.1016/j.ajem.2024.09.026] [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] [Received: 07/21/2024] [Revised: 09/05/2024] [Accepted: 09/09/2024] [Indexed: 09/15/2024] Open
Abstract
INTRODUCTION Heart failure (HF) is associated with significant morbidity, mortality, and health care costs. Stage B HF is defined as structural heart disease prior to developing symptomatic HF. If identified early in the disease process, preventative measures may be implemented to slow disease progression to Stage C (symptomatic) or Stage D (refractory) HF. Previous research has focused on outpatient screening for HF in the primary care setting; however, there are limited data on Stage B HF screening in the Emergency Department (ED) setting. The objective of this study was to determine the prevalence of undiagnosed Stage B HF among those with cardiovascular risk factors in the ED setting and identify which risk factors were associated with a greater risk of having Stage B HF. METHODS A prospective, observational study was performed in a single, urban academic ED from 07/2023 to 05/2024. Inclusion criteria were age ≥ 45 years with hypertension, diabetes, obesity, coronary heart disease, previous cardiotoxic chemotherapy, or family history of HF. Exclusion criteria included signs or symptoms of HF, known history of HF, valvular disease, current atrial fibrillation, or primary language other than English. A focused cardiac ultrasound was performed and interpreted by ultrasound-fellowship trained emergency physicians. Sonographers assessed systolic function as ejection fraction <50 % using visual assessment in at least two different views. Sonographers assessed diastolic dysfunction as an E/A ratio < 0.8, or if ≥2 of the following were present: septal e' < 7 cm/s or lateral e' < 10 cm/s, E/e' ratio > 14, or left atrial volume > 34 mL/m2. Descriptive statistics were performed, followed by comparative analyses and regression modeling. RESULTS 209 participants were included in the study, with a mean age of 60 years and 51.7 % women. Of these, 125 (59.8 %) had undiagnosed Stage B HF, with 13 (10.4 %) having systolic dysfunction and 112 (89.6 %) having isolated diastolic dysfunction. Among those with isolated diastolic dysfunction, 44 (39.3 %) were grade I, 66 (58.9 %) were grade II, and 2 (1.8 %) were grade III. Predictors of undiagnosed Stage B HF included age (odds ratio 1.06; 95 % CI 1.02 to 1.10) and BMI (odds ratio 1.06; 95 % CI 1.01 to 1.10). CONCLUSION A large majority of ED patients with cardiovascular risk factors had undiagnosed Stage B HF. Age and obesity were associated with a higher risk of Stage B HF. This provides an opportunity for early identification and intervention for patients with undiagnosed Stage B HF to reduce progression to more severe HF.
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Affiliation(s)
- Michael Gottlieb
- Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, United States of America.
| | - Evelyn Schraft
- Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, United States of America
| | - James O'Brien
- Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, United States of America
| | - Daven Patel
- Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, United States of America
| | - Gary D Peksa
- Department of Emergency Medicine, Rush University Medical Center, Chicago, IL, United States of America.
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Balasubramanian I, Malhotra C. Can Timely Outpatient Visits Reduce Readmissions and Mortality Among Heart Failure Patients? J Gen Intern Med 2024; 39:2478-2486. [PMID: 38600403 PMCID: PMC11436599 DOI: 10.1007/s11606-024-08755-1] [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: 10/02/2023] [Accepted: 04/01/2024] [Indexed: 04/12/2024]
Abstract
BACKGROUND Outpatient follow-up after a hospital discharge may reduce the risk of readmissions, but existing evidence has methodological limitations. OBJECTIVES To assess effect of outpatient follow-up within 7, 14, 21 and 30 days of a hospital discharge on 30-day unplanned readmissions or mortality among heart failure (HF) patients; and whether this varies for patients with different clinical complexities. DESIGN We analyzed medical records between January 2016 and December 2021 from a prospective cohort study. Using time varying mixed effects parametric survival models, we examined the association between not having an outpatient follow-up and risk of adverse events. We used interaction models to assess if the effect of outpatient follow-up visit on outcomes varies with patients' clinical complexity (comorbidities, grip strength, cognitive impairment and length of inpatient stay). PARTICIPANTS Two hundred and forty-one patients with advanced HF. MAIN MEASURES 30-day all-cause (or cardiac) adverse event defined as all cause (or cardiac) unplanned readmissions or death within 30 days of an unplanned all-cause (or cardiac) admission or emergency department visit. KEY RESULTS We analyzed 1595 all-cause admissions, inclusive of 1266 cardiac admissions. Not having an outpatient follow-up (vs having an outpatient follow-up) significantly increased the risk of 30-day all-cause adverse event. (risk [95% CI] - 14 days: 35.1 [84.5,-1.1]; 21 days: 43.9 [48.2,6.7]; 30 days: 31.1 [48.5, 7.9]) The risk (at 21 days) was higher for those with one co-morbidity (0.25 [0.11,0.58]), mild (0.67 [0.45, 1.00]) and moderate cognitive impairment (0.38 [0.17, 0.84]), normal grip strength (0.57 [0.34, 0.96]) and length of inpatient stay 7-13 days (0.45 [0.23, 0.89]). CONCLUSION Outpatient follow-up within 30 days after a hospital discharge reduced risk of 30-day adverse events among HF patients, the benefit varying according to clinical complexity. Results suggest the need to prioritize patients who benefit from outpatient follow-up for these visits.
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Affiliation(s)
| | - Chetna Malhotra
- Duke-NUS Medical School, Lien Centre for Palliative Care, Singapore, Singapore.
- Duke-NUS Medical School, Program in Health Services and Systems Research, Singapore, Singapore.
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Bilicki DJ, Reeves MJ. Outpatient Follow-Up Visits to Reduce 30-Day All-Cause Readmissions for Heart Failure, COPD, Myocardial Infarction, and Stroke: A Systematic Review and Meta-Analysis. Prev Chronic Dis 2024; 21:E74. [PMID: 39325638 PMCID: PMC11451567 DOI: 10.5888/pcd21.240138] [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: 09/28/2024] Open
Abstract
Introduction Hospital readmissions is an important public health problem that US hospitals are responsible for reducing. One strategy for preventing readmissions is to schedule an outpatient follow-up visit before discharge. The objective of this study was to determine whether outpatient follow-up visits are an effective method to reduce 30-day all-cause readmissions for patients discharged from US hospitals with heart failure, chronic obstructive pulmonary disease (COPD), acute myocardial infarction (AMI), or stroke. Methods We conducted a systematic review and meta-analysis to identify relevant articles published from 2013 through 2023. We searched PubMed, CINAHL, and Cochrane. Eligible studies were those that assessed the effect of postdischarge outpatient follow-up visits on 30-day all-cause readmission. We used random effect meta-analyses to generate pooled adjusted effect estimates and 95% CIs. Results We initially identified 2,256 articles. Of these, 32 articles underwent full-text review and 15 met inclusion criteria. Seven studies addressed heart failure, 3 COPD, 2 AMI, and 3 stroke. Ten articles provided sufficient information for meta-analysis. The pooled adjusted effect measure was 0.79 (95% CI, 0.69-0.91), indicating that outpatient follow-up visits were associated with a 21% lower risk of readmission. However, we found a high degree of between-study heterogeneity (Q = 122.78; P < .001; I2 = 92.7%). Subgroup analyses indicated that study quality, disease condition, and particularly whether a time-dependent analysis method was used, explained much of the heterogeneity. Conclusion Outpatient follow-up visits are a potentially effective way to reduce 30-day all-cause readmissions for patients discharged with heart failure or stroke, but evidence of benefit was lacking for COPD and we found no studies for assessing AMI. Our results emphasize the importance of study quality.
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Affiliation(s)
- Dylan J Bilicki
- College of Human Medicine, Michigan State University, 804 Service Rd, Ste A112, East Lansing, MI 48824
| | - Mathew J Reeves
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing
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Holzhauser L, Reza N, Edwards JJ, Birati EY, Owens AT, McLean R, Maeda K, O'Connor MJ, Rossano JW, Mondal A, Katcoff H, Edelson JB. Emergency Department Use and Hospital Mortality Among Heart Transplant Recipients in the United States. J Am Heart Assoc 2024; 13:e032676. [PMID: 38420765 PMCID: PMC10944034 DOI: 10.1161/jaha.123.032676] [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: 09/14/2023] [Accepted: 12/19/2023] [Indexed: 03/02/2024]
Abstract
BACKGROUND Annual heart transplant (HT) volumes have increased, as have post-HT outpatient care needs. Data on HT-related emergency department (ED) visits are limited. METHODS AND RESULTS A retrospective analysis of 177 450 HT patient ED visits from the 2009 to 2018 Nationwide Emergency Department Sample was conducted. HT recipients, primary diagnoses, and comorbidities associated with ED visits were identified via International Classification of Diseases, Ninth Revision (ICD-9) and International Classification of Diseases, Tenth Revision (ICD-10) codes. Multivariable logistic regression was used to predict outcomes of hospital admission and death. HT volumes and HT-related ED visits increased from 2009 to 2018. Infection was the most common primary diagnosis (24%), and cardiac primary diagnoses represented 10% of encounters. Hospital admissions occurred in 48% of visits, but overall mortality was low (1.6%). Length of stay was 3.1 days (interquartile range, 1.6-5.9 days), and comorbidity burden was high: 42% had hypertension, 38% had diabetes, and 31% had ≥2 comorbidities. Those aged ≥65 years had significantly higher odds of admission (odds ratio [OR], 2.14 [95% CI, 1.97-2.33]) and death (OR, 2.06 [95% CI, 1.61-2.62]). Comorbidities increased odds of admission (OR, 1.62 [95% CI, 1.51-1.75]) but not death. Renal primary diagnosis had the highest risk of admission (OR, 4.1 [95% CI, 3.6-4.6]), but cardiac primary diagnosis had the highest odds of death (OR, 11.6 [95% CI, 9.1-14.8]). CONCLUSIONS HT-related ED visits increased from 2009 to 2018 with high admission rates but low in-hospital mortality, suggesting an opportunity to improve prehospital care. Older patients and those with cardiac primary diagnoses had the highest risk of death. The observed contrast between predictors of admission and mortality signals a need for further study to improve risk stratification and outpatient care strategies.
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Affiliation(s)
- Luise Holzhauser
- Division of Cardiovascular Medicine, Department of MedicinePerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Nosheen Reza
- Division of Cardiovascular Medicine, Department of MedicinePerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Jonathan J. Edwards
- Division of Cardiology, Cardiac Center, the Childrens Hospital of PhiladelphiaPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Edo Y. Birati
- The Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Tzafon (Poriya) Medical Center, and Azrieli Faculty of MedicineBar‐Ilan UniversityRamat GanIsrael
| | - Anjali T. Owens
- Division of Cardiovascular Medicine, Department of MedicinePerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Rhondalyn McLean
- Division of Cardiovascular Medicine, Department of MedicinePerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Katsuhide Maeda
- Division of Cardiothoracic Surgery, Cardiac Center, the Children’s Hospital of PhiladelphiaPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Matthew J. O'Connor
- Division of Cardiology, Cardiac Center, the Childrens Hospital of PhiladelphiaPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
| | - Joseph W. Rossano
- Division of Cardiology, Cardiac Center, the Childrens Hospital of PhiladelphiaPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
- Cardiovascular Outcomes, Quality, and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Leonard Davis Institute for Healthcare EconomicsUniversity of PennsylvaniaPhiladelphiaPA
| | - Antara Mondal
- Leonard Davis Institute for Healthcare EconomicsUniversity of PennsylvaniaPhiladelphiaPA
| | - Hannah Katcoff
- Cardiovascular Outcomes, Quality, and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
| | - Jonathan B. Edelson
- Division of Cardiology, Cardiac Center, the Childrens Hospital of PhiladelphiaPerelman School of Medicine at the University of PennsylvaniaPhiladelphiaPA
- Cardiovascular Outcomes, Quality, and Evaluative Research CenterUniversity of PennsylvaniaPhiladelphiaPA
- Leonard Davis Institute for Healthcare EconomicsUniversity of PennsylvaniaPhiladelphiaPA
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Rosenberg MA. Deep Learning and Biased Prediction: More Questions Than Answers? Circ Heart Fail 2024; 17:e011368. [PMID: 38126237 PMCID: PMC10842806 DOI: 10.1161/circheartfailure.123.011368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Affiliation(s)
- Michael A Rosenberg
- Division of Cardiology, Cardiac Electrophysiology Section and Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora
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Baugh CW, Freund Y, Steg PG, Body R, Maron DJ, Yiadom MYAB. Strategies to mitigate emergency department crowding and its impact on cardiovascular patients. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2023; 12:633-643. [PMID: 37163667 DOI: 10.1093/ehjacc/zuad049] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/12/2023]
Abstract
Emergency department (ED) crowding is a worsening global problem caused by hospital capacity and other health system challenges. While patients across a broad spectrum of illnesses may be affected by crowding in the ED, patients with cardiovascular emergencies-such as acute coronary syndrome, malignant arrhythmias, pulmonary embolism, acute aortic syndrome, and cardiac tamponade-are particularly vulnerable. Because of crowding, patients with dangerous and time-sensitive conditions may either avoid the ED due to anticipation of extended waits, leave before their treatment is completed, or experience delays in receiving care. In this educational paper, we present the underlying causes of crowding and its impact on common cardiovascular emergencies using the input-throughput-output process framework for patient flow. In addition, we review current solutions and potential innovations to mitigate the negative effect of ED crowding on patient outcomes.
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Affiliation(s)
- Christopher W Baugh
- Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Neville House 2nd Floor, Boston, MA 02115, USA
| | - Yonathan Freund
- Emergency Department Hospital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Université, Paris, France
| | - Philippe Gabriel Steg
- Department of Cardiology, Université Paris-Cité, Institut Universitaire de France, FACT, French Alliance for Cardiovascular Trials, INSERM-1148, and Assistance Publique-Hôpitaux de Paris, Hôpital Bichat, Paris, France
| | - Richard Body
- Division of Cardiovascular Sciences, University of Manchester, Manchester, UK
- Emergency Department, Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - David J Maron
- Department of Medicine, Stanford University School of Medicine, Palo Alto, CA, USA
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