Emergency Department Use and Hospital Mortality Among Heart Transplant Recipients in the United States

Author:

Holzhauser Luise1ORCID,Reza Nosheen1ORCID,Edwards Jonathan J.2ORCID,Birati Edo Y.3ORCID,Owens Anjali T.1ORCID,McLean Rhondalyn1ORCID,Maeda Katsuhide4ORCID,O'Connor Matthew J.2ORCID,Rossano Joseph W.256ORCID,Mondal Antara6ORCID,Katcoff Hannah5ORCID,Edelson Jonathan B.256ORCID

Affiliation:

1. Division of Cardiovascular Medicine, Department of Medicine Perelman School of Medicine at the University of Pennsylvania Philadelphia PA

2. Division of Cardiology, Cardiac Center, the Childrens Hospital of Philadelphia Perelman School of Medicine at the University of Pennsylvania Philadelphia PA

3. The Lydia and Carol Kittner, Lea and Benjamin Davidai Division of Cardiovascular Medicine and Surgery, Tzafon (Poriya) Medical Center, and Azrieli Faculty of Medicine Bar‐Ilan University Ramat Gan Israel

4. Division of Cardiothoracic Surgery, Cardiac Center, the Children’s Hospital of Philadelphia Perelman School of Medicine at the University of Pennsylvania Philadelphia PA

5. Cardiovascular Outcomes, Quality, and Evaluative Research Center University of Pennsylvania Philadelphia PA

6. Leonard Davis Institute for Healthcare Economics University of Pennsylvania Philadelphia PA

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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference24 articles.

1. The International Thoracic Organ Transplant Registry of the International Society for Heart and Lung Transplantation: Thirty-fifth Adult Heart Transplantation Report—2018; Focus Theme: Multiorgan Transplantation

2. The Registry of the International Society for Heart and Lung Transplantation: Thirty-fourth Adult Heart Transplantation Report—2017; Focus Theme: Allograft ischemic time

3. HCUP Nationwide Emergency Department Sample (NEDS) . Healthcare Cost and Utilization Project (HCUP). Rockville, MD: Agency for Healthcare Research and Quality. Accessed May 25, 2022. http://www.hcup‐us.ahrq.gov/nedsoverview.jsp

4. Healthcare Cost and Utilization Project . Introduction to the HCUP Nationwide Emergency Department Sample (NEDS). Rockville, MD: Agency for Healthcare Research and Quality; 2014. Accessed May 25, 2022. http://www.hcup‐us.ahrq.gov/db/nation/neds/NEDS_Introduction_2014.jsp

5. Healthcare Cost and Utilization Project . Calculating National Inpatient Sample (NIS) variances for data years 2012 and later. Accessed May 25 2022. https://www.hcup‐us.ahrq.gov/reports/methods/2015‐09.pdf

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