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

BACKGROUND: Understanding the implications of disease-specific factors beyond baseline patient characteristics for coronavirus disease 2019 (COVID-19) may allow for identification of indicators for safe hospital discharge. OBJECTIVE: Assess whether disease-specific factors are associated with advers...

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Autores principales: Huang, Cheng-Wei, Park, Joon S., Song, Hubert, Khang, Vang Kou, Yu, Albert S., Nguyen, Huong Q., Lee, Janet S., Subject, Christopher C., Shen, Ernest
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9473458/
https://www.ncbi.nlm.nih.gov/pubmed/36104593
http://dx.doi.org/10.1007/s11606-022-07610-5
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author Huang, Cheng-Wei
Park, Joon S.
Song, Hubert
Khang, Vang Kou
Yu, Albert S.
Nguyen, Huong Q.
Lee, Janet S.
Subject, Christopher C.
Shen, Ernest
author_facet Huang, Cheng-Wei
Park, Joon S.
Song, Hubert
Khang, Vang Kou
Yu, Albert S.
Nguyen, Huong Q.
Lee, Janet S.
Subject, Christopher C.
Shen, Ernest
author_sort Huang, Cheng-Wei
collection PubMed
description BACKGROUND: Understanding the implications of disease-specific factors beyond baseline patient characteristics for coronavirus disease 2019 (COVID-19) may allow for identification of indicators for safe hospital discharge. OBJECTIVE: Assess whether disease-specific factors are associated with adverse events post-discharge using a data-driven approach. DESIGN: Retrospective cohort study. SETTING: Fifteen medical centers within Kaiser Permanente Southern California. PARTICIPANTS: Adult patients (n=3508) discharged alive following hospitalization for COVID-19 between 05/01/2020 and 09/30/2020. INTERVENTIONS: None. MAIN MEASURES: Adverse events defined as all-cause readmission or mortality within 14 days of discharge. Least absolute shrinkage and selection operator (LASSO) was used for variable selection and logistic regression was performed to estimate odds ratio (OR) and 95% confidence interval (CI). KEY RESULTS: Four variables including age, Elixhauser index, treatment with remdesivir, and symptom duration at discharge were selected by LASSO. Treatment with remdesivir was inversely associated with adverse events (OR: 0.46 [95%CI: 0.36–0.61]), while symptom duration ≤ 10 days was associated with adverse events (OR: 2.27 [95%CI: 1.79–2.87]) in addition to age (OR: 1.02 [95%CI: 1.01–1.03]) and Elixhauser index (OR: 1.15 [95%CI: 1.11–1.20]). A significant interaction between remdesivir and symptom duration was further observed (p=0.01). The association of remdesivir was stronger among those with symptom duration ≤10 days vs >10 days at discharge (OR: 0.30 [95%CI: 0.19–0.47] vs 0.62 [95%CI: 0.44–0.87]), while the association of symptom duration ≤ 10 days at discharge was weaker among those treated with remdesivir vs those not treated (OR: 1.31 [95%CI: 0.79–2.17] vs 2.71 [95%CI 2.05–3.59]). CONCLUSIONS: Disease-specific factors including treatment with remdesivir, symptom duration, and their interplay may help guide clinical decision making at time of discharge. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-022-07610-5.
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spelling pubmed-94734582022-09-15 Disease-Specific Factors Associated with Readmissions or Mortality After Hospital Discharge in COVID-19 Patients: a Retrospective Cohort Study Huang, Cheng-Wei Park, Joon S. Song, Hubert Khang, Vang Kou Yu, Albert S. Nguyen, Huong Q. Lee, Janet S. Subject, Christopher C. Shen, Ernest J Gen Intern Med Original Research BACKGROUND: Understanding the implications of disease-specific factors beyond baseline patient characteristics for coronavirus disease 2019 (COVID-19) may allow for identification of indicators for safe hospital discharge. OBJECTIVE: Assess whether disease-specific factors are associated with adverse events post-discharge using a data-driven approach. DESIGN: Retrospective cohort study. SETTING: Fifteen medical centers within Kaiser Permanente Southern California. PARTICIPANTS: Adult patients (n=3508) discharged alive following hospitalization for COVID-19 between 05/01/2020 and 09/30/2020. INTERVENTIONS: None. MAIN MEASURES: Adverse events defined as all-cause readmission or mortality within 14 days of discharge. Least absolute shrinkage and selection operator (LASSO) was used for variable selection and logistic regression was performed to estimate odds ratio (OR) and 95% confidence interval (CI). KEY RESULTS: Four variables including age, Elixhauser index, treatment with remdesivir, and symptom duration at discharge were selected by LASSO. Treatment with remdesivir was inversely associated with adverse events (OR: 0.46 [95%CI: 0.36–0.61]), while symptom duration ≤ 10 days was associated with adverse events (OR: 2.27 [95%CI: 1.79–2.87]) in addition to age (OR: 1.02 [95%CI: 1.01–1.03]) and Elixhauser index (OR: 1.15 [95%CI: 1.11–1.20]). A significant interaction between remdesivir and symptom duration was further observed (p=0.01). The association of remdesivir was stronger among those with symptom duration ≤10 days vs >10 days at discharge (OR: 0.30 [95%CI: 0.19–0.47] vs 0.62 [95%CI: 0.44–0.87]), while the association of symptom duration ≤ 10 days at discharge was weaker among those treated with remdesivir vs those not treated (OR: 1.31 [95%CI: 0.79–2.17] vs 2.71 [95%CI 2.05–3.59]). CONCLUSIONS: Disease-specific factors including treatment with remdesivir, symptom duration, and their interplay may help guide clinical decision making at time of discharge. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-022-07610-5. Springer International Publishing 2022-09-14 2022-11 /pmc/articles/PMC9473458/ /pubmed/36104593 http://dx.doi.org/10.1007/s11606-022-07610-5 Text en © The Author(s), under exclusive licence to Society of General Internal Medicine 2022
spellingShingle Original Research
Huang, Cheng-Wei
Park, Joon S.
Song, Hubert
Khang, Vang Kou
Yu, Albert S.
Nguyen, Huong Q.
Lee, Janet S.
Subject, Christopher C.
Shen, Ernest
Disease-Specific Factors Associated with Readmissions or Mortality After Hospital Discharge in COVID-19 Patients: a Retrospective Cohort Study
title Disease-Specific Factors Associated with Readmissions or Mortality After Hospital Discharge in COVID-19 Patients: a Retrospective Cohort Study
title_full Disease-Specific Factors Associated with Readmissions or Mortality After Hospital Discharge in COVID-19 Patients: a Retrospective Cohort Study
title_fullStr Disease-Specific Factors Associated with Readmissions or Mortality After Hospital Discharge in COVID-19 Patients: a Retrospective Cohort Study
title_full_unstemmed Disease-Specific Factors Associated with Readmissions or Mortality After Hospital Discharge in COVID-19 Patients: a Retrospective Cohort Study
title_short Disease-Specific Factors Associated with Readmissions or Mortality After Hospital Discharge in COVID-19 Patients: a Retrospective Cohort Study
title_sort disease-specific factors associated with readmissions or mortality after hospital discharge in covid-19 patients: a retrospective cohort study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9473458/
https://www.ncbi.nlm.nih.gov/pubmed/36104593
http://dx.doi.org/10.1007/s11606-022-07610-5
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