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Kodaira M, Hasan MS, Grossman Y, Guerrero C, Guo L, Liu A, Therrien J, Marelli A. Risk of cardiovascular events after influenza infection-related hospitalizations in adults with congenital heart disease: A nationwide population based study. Am Heart J 2024; 278:93-105. [PMID: 39241939 DOI: 10.1016/j.ahj.2024.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 08/30/2024] [Accepted: 08/31/2024] [Indexed: 09/09/2024]
Abstract
BACKGROUND Cardiovascular complications due to viral infection pose a significant risk in vulnerable patients such as those with congenital heart disease (CHD). Limited data exists regarding the incidence of influenza and its impact on cardiovascular outcomes among this specific patient population. METHODS A retrospective cohort study was designed using the Canadian Congenital Heart Disease (CanCHD) database-a pan-Canadian database of CHD patients with up to 35 years of follow-up. CHD patients aged 40 to 65 years with influenza virus-associated hospitalizations between 2010 and 2017 were identified and 1:1 matched with CHD patients with limb fracture hospitalizations on age and calendar time. Our primary endpoint was cardiovascular complications: heart failure, acute myocardial infarction, atrial arrhythmia, ventricular arrhythmia, heart block, myocarditis, and pericarditis. RESULTS Of the 303 patients identified with incident influenza virus-associated hospitalizations, 255 were matched to 255 patients with limb fracture hospitalizations. Patients with influenza virus-related hospitalizations showed significantly higher cumulative probability of cardiovascular complications at 1 year (0.16 vs. 0.03) and 5 years (0.33 vs. 0.15) compared to patients hospitalized with bone fracture. Time-dependent hazard function modeling demonstrated a significantly higher risk of cardiovascular complications within 9 months postdischarge for influenza-related hospitalizations. This association was confirmed by Cox regression model (average hazard ratio throughout follow-up: 2.48; 95% CI: 1.59-3.84). CONCLUSIONS This pan-Canadian cohort study of adults with CHD demonstrated an association between influenza virus-related hospitalization and risk of cardiovascular complications during the 9 months post discharge. This data is essential in planning surveillance strategies to mitigate adverse outcomes and provides insights into interpreting complication rates of other emerging pathogens, such as COVID-19.
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Affiliation(s)
- Masaki Kodaira
- McGill Adult Unit for Congenital Heart Disease Excellence, McGill University Health Centre, Montréal, Québec, Canada; Beth Raby Adult Congenital Heart Disease Clinic, Jewish General Hospital, Montréal, Québec, Canada
| | - Mohammad Sazzad Hasan
- McGill Adult Unit for Congenital Heart Disease Excellence, McGill University Health Centre, Montréal, Québec, Canada
| | - Yoni Grossman
- McGill Adult Unit for Congenital Heart Disease Excellence, McGill University Health Centre, Montréal, Québec, Canada
| | - Carlos Guerrero
- McGill Adult Unit for Congenital Heart Disease Excellence, McGill University Health Centre, Montréal, Québec, Canada; Beth Raby Adult Congenital Heart Disease Clinic, Jewish General Hospital, Montréal, Québec, Canada
| | - Liming Guo
- McGill Adult Unit for Congenital Heart Disease Excellence, McGill University Health Centre, Montréal, Québec, Canada
| | - Aihua Liu
- McGill Adult Unit for Congenital Heart Disease Excellence, McGill University Health Centre, Montréal, Québec, Canada
| | - Judith Therrien
- McGill Adult Unit for Congenital Heart Disease Excellence, McGill University Health Centre, Montréal, Québec, Canada; Beth Raby Adult Congenital Heart Disease Clinic, Jewish General Hospital, Montréal, Québec, Canada
| | - Ariane Marelli
- McGill Adult Unit for Congenital Heart Disease Excellence, McGill University Health Centre, Montréal, Québec, Canada.
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Chaugule A, Howard K, Simonson DC, McDonnell ME, Garg R, Gopalakrishnan G, Mitri J, Lebastchi J, Palermo NE, Westcott G, Weinstock RS. Predictors of readmission and mortality in adults with diabetes or stress hyperglycemia after initial hospitalization for COVID-19. BMJ Open Diabetes Res Care 2024; 12:e004167. [PMID: 38937276 PMCID: PMC11216067 DOI: 10.1136/bmjdrc-2024-004167] [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: 03/02/2024] [Accepted: 06/12/2024] [Indexed: 06/29/2024] Open
Abstract
INTRODUCTION We previously reported predictors of mortality in 1786 adults with diabetes or stress hyperglycemia (glucose>180 mg/dL twice in 24 hours) admitted with COVID-19 from March 2020 to February 2021 to five university hospitals. Here, we examine predictors of readmission. RESEARCH DESIGN AND METHODS Data were collected locally through retrospective reviews of electronic medical records from 1786 adults with diabetes or stress hyperglycemia who had a hemoglobin A1c (HbA1c) test on initial admission with COVID-19 infection or within 3 months prior to initial admission. Data were entered into a Research Electronic Data Capture (REDCap) web-based repository, and de-identified. Descriptive data are shown as mean±SD, per cent (%) or median (IQR). Student's t-test was used for comparing continuous variables with normal distribution and Mann-Whitney U test was used for data not normally distributed. X2 test was used for categorical variable. RESULTS Of 1502 patients who were alive after initial hospitalization, 19.4% were readmitted; 90.3% within 30 days (median (IQR) 4 (0-14) days). Older age, lower estimated glomerular filtration rate (eGFR), comorbidities, intensive care unit (ICU) admission, mechanical ventilation, diabetic ketoacidosis (DKA), and longer length of stay (LOS) during the initial hospitalization were associated with readmission. Higher HbA1c, glycemic gap, or body mass index (BMI) were not associated with readmission. Mortality during readmission was 8.0% (n=23). Those who died were older than those who survived (74.9±9.5 vs 65.2±14.4 years, p=0.002) and more likely had DKA during the first hospitalization (p<0.001). Shorter LOS during the initial admission was associated with ICU stay during readmission, suggesting that a subset of patients may have been initially discharged prematurely. CONCLUSIONS Understanding predictors of readmission after initial hospitalization for COVID-19, including older age, lower eGFR, comorbidities, ICU admission, mechanical ventilation, statin use and DKA but not HbA1c, glycemic gap or BMI, can help guide treatment approaches and future research in adults with diabetes.
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Affiliation(s)
| | - Kyra Howard
- Brown University, Providence, Rhode Island, USA
| | - Donald C Simonson
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Marie E McDonnell
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Rajesh Garg
- University of Miami School of Medicine, Miami, Florida, USA
- Harbor-UCLA Medical Center, Torrance, California, USA
| | | | - Joanna Mitri
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Nadine E Palermo
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Gregory Westcott
- Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
- Endocrinology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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Patel K, Majeed H, Gajjar R, Cannon H, Bobba A, Quazi M, Gangu K, Sohail AH, Sheikh AB. Analysis of 30-day hospital readmissions and related risk factors for COVID-19 patients with myocarditis hospitalized in the United States during 2020. Proc AMIA Symp 2024; 38:34-41. [PMID: 39712417 PMCID: PMC11657145 DOI: 10.1080/08998280.2024.2325280] [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: 12/21/2023] [Revised: 01/29/2024] [Accepted: 01/31/2024] [Indexed: 12/24/2024] Open
Abstract
Background Despite extensive research on COVID-19 and its association with myocarditis, limited data are available on readmission rates for this subset of patients. Thirty-day hospital readmission rate is an established quality metric that is associated with increased mortality and cost. Methods This retrospective analysis utilized the Nationwide Readmission Database for the year 2020 to evaluate 30-day hospital readmission rates, risk factors, and clinical outcomes among COVID-19 patients who presented with myocarditis at their index hospitalization. Results Our analysis revealed that 1) the 30-day all-cause hospital readmission rate for patients initially hospitalized with COVID-19 and myocarditis was 11.7%; 2) after multivariate adjustment, the primary predictor of readmission for COVID-19 patients with myocarditis was discharge against medical advice; 3) COVID-19 patients with myocarditis who required readmission had a higher proportion of older patients and Medicare beneficiaries; 4) the most common diagnoses at readmission were COVID-19, sepsis, congestive heart failure, acute myocardial infarction, and pneumonia; and 5) readmitted patients were more likely to require renal replacement therapy during their index hospitalization. Conclusion This study underscores the importance of optimizing discharge plans, preventing irregular discharges through shared decision-making, and ensuring robust post-hospital follow-up for patients with COVID-19 and myocarditis at index admission.
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Affiliation(s)
- Krishna Patel
- Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Harris Majeed
- Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Rohan Gajjar
- Department of Internal Medicine, John H. Stroger Jr. Hospital of Cook County, Chicago, Illinois, USA
| | - Harmon Cannon
- Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Aniesh Bobba
- Division of Cardiology, Department of Medicine, John H. Stroger Jr. Hospital of Cook County, Chicago, Illinois, USA
| | - Mohammad Quazi
- Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Karthik Gangu
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Amir Humza Sohail
- Division of Surgical Oncology, Department of Surgery, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Abu Baker Sheikh
- Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
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Bilal MI, Gajjar R, Bobba A, Zabel KM, Davis MG, Nasrullah A, Gangu K, Sheikh AB, Yadav N. Assessing 30-day readmissions and outcomes in acute heart failure patients with concurrent COVID-19: A nationwide study during the 2020 pandemic. Curr Probl Cardiol 2024; 49:102246. [PMID: 38048854 DOI: 10.1016/j.cpcardiol.2023.102246] [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: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 12/06/2023]
Abstract
BACKGROUND Acute heart failure (HF) is a significant cause of readmission and mortality, particularly within 30 days post-discharge. The interplay between COVID-19 and HF is still being studied. METHODS This retrospective study utilized The National Readmission Database to examine outcomes and predictors among patients with COVID-19 and concomitant acute HF between January 1, 2020, and November 31, 2020. 53,336 index hospitalizations and 8,158 readmissions were included. The primary outcome was the 30-day all-cause readmission rate. Predictor variables included patient demographics, medical comorbidities and discharge disposition. RESULTS The primary outcome was 21.2 %. COVID-19 infection was the most predominant all-cause reason for acute HF readmission (24.7 %). Hypertensive heart disease with chronic kidney disease was the most prevalent cardiac cause (7.7 %). Mortality rate during index hospitalization was significantly higher compared to readmission. CONCLUSIONS The highlighted prevalent complications, comorbidities, and demographics driving readmissions offer valuable insights to improve outcomes in this population.
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Affiliation(s)
| | - Rohan Gajjar
- Department of Internal Medicine, John Hopkins Stronger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - Aniesh Bobba
- Department of Cardiology, John Hopkins Stronger, Jr. Hospital of Cook County, Chicago, IL, USA
| | - Kenneth M Zabel
- Department of Internal Medicine, University of New Mexico Health System, Albuquerque, NM, USA
| | - Monique G Davis
- Department of Internal Medicine, University of New Mexico Health System, Albuquerque, NM, USA
| | - Adeel Nasrullah
- Department of Pulmonology and Critical Care, Allegheny Health Network, Pittsburg PA, USA
| | - Karthik Gangu
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA
| | - Abu Baker Sheikh
- Department of Internal Medicine, University of New Mexico Health System, 1 University of New Mexico, Albuquerque, NM, 87131, MSC10-55501, NM, USA.
| | - Neha Yadav
- Department of Cardiology, John Hopkins Stronger, Jr. Hospital of Cook County, Chicago, IL, USA
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Vardar U, Shaka H, Kumi D, Gajjar R, Bess O, Kanemo P, Shaka A, Baskaran N. Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA. BMJ Open 2023; 13:e073959. [PMID: 37949624 PMCID: PMC10649490 DOI: 10.1136/bmjopen-2023-073959] [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: 03/24/2023] [Accepted: 09/19/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVES In this study, we aimed to identify the causes, predictors and gender disparities of 30-day and 90-day cardiovascular readmissions after COVID-19-related hospitalisations using National Readmission Database (NRD) 2020. SETTING We used the NRD from 2020 to identify hospitalised adults with a principal diagnosis of COVID-19 infection. PARTICIPANTS We included subjects who were readmitted within 30 days and 90 days after index admission. We excluded subjects with elective and traumatic admissions. We used a multivariate Cox regression model to identify independent predictors of readmission. PRIMARY AND SECONDARY OUTCOMES MEASURES Our outcomes were inpatient mortality, 30-day and 90-day cardiovascular readmission rates following COVID-19 infection. RESULTS During the study period, there were 1 024 492 index hospitalisations with a primary diagnosis of COVID-19 infection in the 2020 NRD database, 644 903 (62.9%) were included for 30-day readmission analysis, and 418 122 (40.8%) were included for 90-day readmission analysis. Of patients involved in the 30-day analysis, 7140 (1.1%) patients had a readmission within 30 days; of patients involved in the 90-day analysis, 8379 (2.0%) had a readmission within 90 days due to primarily cardiovascular causes. Cox regression analysis revealed that the female sex (aHR 0.89; 95% CI 0.82 to 0.95; p=0.001) was associated with a lower hazard of 30-day cardiovascular readmissions; however, congestive heart failure (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001), arrhythmias (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001) and valvular disease (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001) had a higher hazard. The most common causes of cardiovascular readmissions were heart failure (34.3%), deep vein thrombosis/pulmonary embolism (22.5%) and atrial fibrillation (9.5%). CONCLUSION Our study demonstrates that male gender, heart failure, arrhythmias and valvular disease carry higher hazards of 30-day and 90-day cardiovascular readmissions. Identifying risk factors and common causes of readmission may assist with lowering the burden of cardiovascular disease in patients with COVID-19 infection.
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Affiliation(s)
- Ufuk Vardar
- Department of Medicine, John H Stroger Jr Hospital of Cook County, Chicago, Illinois, USA
| | - Hafeez Shaka
- Department of Medicine, John H Stroger Jr Hospital of Cook County, Chicago, Illinois, USA
| | - Dennis Kumi
- Department of Medicine, John H Stroger Jr Hospital of Cook County, Chicago, Illinois, USA
| | - Rohan Gajjar
- Department of Medicine, John H Stroger Jr Hospital of Cook County, Chicago, Illinois, USA
| | - Olva Bess
- Department of Medicine, Woodhull Hospital, Brooklyn, New York, USA
| | - Philip Kanemo
- Department of Medicine, Rapides Regional Medical Center, Alexandria, Louisiana, USA
| | - Abdultawab Shaka
- Department of Medicine, Windsor University School of Medicine, Cayon, Saint Kitts and Nevis
| | - Naveen Baskaran
- Department of Medicine, University of Florida, Gainesville, Florida, USA
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Zahid S, Jain D, Khan MZ, Kaur G, Michos ED. Readmissions for Myocardial Infarction Among Survivors of COVID-19 Hospitalization: Nationwide Analysis From Pandemic Year 2020. JACC. ADVANCES 2023; 2:100453. [PMID: 38939438 PMCID: PMC11198176 DOI: 10.1016/j.jacadv.2023.100453] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 05/22/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2024]
Abstract
Background COVID-19 is known to be associated with acute myocardial infarction (MI). Objectives The purpose of this study was to evaluate the outcomes of 30-day readmissions for MI among survivors of COVID-19 hospitalization. Methods and Results We used the U.S. Nationwide Readmission Database to identify COVID-19 admissions from April 1, 2020, to November 30, 2020, using International Classification of Diseases-10th Revision-Clinical Modification (ICD-10-CM) claims. The primary outcome was 30-day readmission incidence for MI. A total of 521,251 cases of COVID-19 were included, of which 11.6% were readmitted within 30 days of discharge. The 30-day readmission incidence for MI was 0.6%. The 30-day all-cause readmission mortality incidence was 1.3%. Patients readmitted for MI were more frequently males (61.6% vs 38.4%) and had a higher Charlson comorbidity burden score (7 vs 4). The most common diagnosis among 30-day MI readmission was type 2 MI (51.1%), followed by a diagnosis of a type 1 non-ST-segment elevation MI (41.7%). ST-segment elevation MI cases constituted 7.6% of all MI-readmission whereas 0.6% of patients had unstable angina. 30-day MI readmissions with a recurrent diagnosis of COVID-19 had higher readmission mortality and incidence of complications. Conversely, the odds of performing revascularization procedures were lower for MI with recurrent COVID-19. Furthermore, MI readmissions with recurrent COVID-19 had a higher length of stay (7 vs 5 days) and cost of hospitalization ($18,398 vs $16,191) when compared with non-COVID-19 MI readmissions. Conclusions Among survivors of COVID-19 hospitalization, 5.2% of all-cause 30-day readmissions and 12% of all-cause readmission mortality were attributed to MI. MI-related readmissions were a significant source of mortality, morbidity, and resource utilization.
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Affiliation(s)
- Salman Zahid
- Department of Cardiovascular Medicine, Knight Cardiovascular Institute, Oregon Health and Science University, Portland, Oregon, USA
| | - Deeptanshu Jain
- Sands-Constellation Heart Institute, Rochester General Hospital, Rochester, New York, USA
| | - Muhammad Zia Khan
- Division of Cardiology, West Virginia University, Morgantown, West Virginia, USA
| | - Gurleen Kaur
- Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Erin D. Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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