Literature DB >> 34015106

Factors Associated With Readmission in the United States Following Hospitalization With Coronavirus Disease 2019.

Elizabeth C Verna1, Charles Landis2, Robert S Brown3, Andrea R Mospan4, Julie M Crawford4, Janet S Hildebrand4, Heather L Morris4, Breda Munoz4, Michael W Fried4, K Rajender Reddy5.   

Abstract

BACKGROUND: Patients hospitalized for coronavirus disease 2019 (COVID-19) may experience complications following hospitalization and require readmission. In this analysis, we estimated the rate and risk factors associated with COVID-19-related readmission and inpatient mortality.
METHODS: In this retrospective cohort study, we used deidentified chargemaster data from 297 hospitals across 40 US states on patients hospitalized with COVID-19 from 15 February 2020 through 9 June 2020. Demographics, comorbidities, acute conditions, and clinical characteristics of first hospitalization are summarized. Multivariable logistic regression was used to measure risk factor associations with 30-day readmission and in-hospital mortality.
RESULTS: Among 29 659 patients, 1070 (3.6%) were readmitted. Readmitted patients were more likely to have diabetes, hypertension, cardiovascular disease (CVD), or chronic kidney disease (CKD) vs those not readmitted (P < .0001) and to present on first admission with acute kidney injury (15.6% vs 9.2%), congestive heart failure (6.4% vs 2.4%), or cardiomyopathy (2.1% vs 0.8%) (P < .0001). Higher odds of readmission were observed in patients aged >60 vs 18-40 years (odds ratio [OR], 1.92; 95% confidence interval [CI], 1.48-2.50) and those admitted in the Northeast vs West (OR, 1.43; 95% CI, 1.14-1.79) or South (OR, 1.28; 95% CI, 1.11-1.49). Comorbidities including diabetes (OR, 1.34; 95% CI, 1.12-1.60), CVD (OR, 1.46; 95% CI, 1.23-1.72), CKD stage 1-5 (OR, 1.51; 95% CI, 1.25-1.81), and CKD stage 5 (OR, 2.27; 95% CI, 1.81-2.86) were associated with higher odds of readmission; 12.3% of readmitted patients died during second hospitalization.
CONCLUSIONS: Among this large US population of patients hospitalized with COVID-19, readmission was associated with certain comorbidities and acute conditions during first hospitalization. These findings may inform strategies to mitigate risks of readmission due to COVID-19 complications.
© The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; readmission; real-world evidence

Mesh:

Year:  2022        PMID: 34015106      PMCID: PMC8240865          DOI: 10.1093/cid/ciab464

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   9.079


  7 in total

1.  Predictive modeling for COVID-19 readmission risk using machine learning algorithms.

Authors:  Mostafa Shanbehzadeh; Azita Yazdani; Mohsen Shafiee; Hadi Kazemi-Arpanahi
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-20       Impact factor: 3.298

2.  Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies.

Authors:  Wei Kit Loo; Khairunnisa Hasikin; Anwar Suhaimi; Por Lip Yee; Kareen Teo; Kaijian Xia; Pengjiang Qian; Yizhang Jiang; Yuanpeng Zhang; Samiappan Dhanalakshmi; Muhammad Mokhzaini Azizan; Khin Wee Lai
Journal:  Front Public Health       Date:  2022-05-23

3.  Impact of tozinameran (BNT162b2) mRNA vaccine on kidney transplant and chronic dialysis patients: 3-5 months follow-up.

Authors:  Iddo Z Ben-Dov; Yonatan Oster; Keren Tzukert; Talia Alster; Raneem Bader; Ruth Israeli; Haya Asayag; Michal Aharon; Ido Burstein; Hadas Pri-Chen; Ashraf Imam; Roy Abel; Irit Mor-Yosef Levi; Abed Khalaileh; Esther Oiknine-Djian; Aharon Bloch; Dana G Wolf; Michal Dranitzki Elhalel
Journal:  J Nephrol       Date:  2022-01-06       Impact factor: 3.902

4.  Hospital readmissions and post-discharge all-cause mortality in COVID-19 recovered patients; A systematic review and meta-analysis.

Authors:  Zhian Salah Ramzi
Journal:  Am J Emerg Med       Date:  2021-11-06       Impact factor: 4.093

5.  Predicting hospital readmission risk in patients with COVID-19: A machine learning approach.

Authors:  Mohammad Reza Afrash; Hadi Kazemi-Arpanahi; Mostafa Shanbehzadeh; Raoof Nopour; Esmat Mirbagheri
Journal:  Inform Med Unlocked       Date:  2022-03-08

6.  Disease-Specific Factors Associated with Readmissions or Mortality After Hospital Discharge in COVID-19 Patients: a Retrospective Cohort Study.

Authors:  Cheng-Wei Huang; Joon S Park; Hubert Song; Vang Kou Khang; Albert S Yu; Huong Q Nguyen; Janet S Lee; Christopher C Subject; Ernest Shen
Journal:  J Gen Intern Med       Date:  2022-09-14       Impact factor: 6.473

7.  The risk of death or unplanned readmission after discharge from a COVID-19 hospitalization in Alberta and Ontario.

Authors:  Finlay A McAlister; Yuan Dong; Anna Chu; Xuesong Wang; Erik Youngson; Kieran L Quinn; Amol Verma; Jacob A Udell; Amy Y X Yu; Fahad Razak; Chester Ho; Charles de Mestral; Heather J Ross; Carl van Walraven; Douglas S Lee
Journal:  CMAJ       Date:  2022-05-16       Impact factor: 16.859

  7 in total

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