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COVID-19-Hospitalized Patients in Karnataka: Survival and Stay Characteristics.
Mishra, Vinayak; Burma, Ajit Deo; Das, Sumit Kumar; Parivallal, Mohana Balan; Amudhan, Senthil; Rao, Girish N.
  • Mishra V; MPH Scholar, Department of Epidemiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
  • Burma AD; MPH Scholar, Department of Epidemiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
  • Das SK; PhD Scholar, Department of Biostatistics, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
  • Parivallal MB; MPH Scholar, Department of Epidemiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
  • Amudhan S; Additional Professor, Department of Epidemiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
  • Rao GN; Professor and Head, Department of Epidemiology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Indian J Public Health ; 64(Supplement): S221-S224, 2020 Jun.
Article in English | MEDLINE | ID: covidwho-557407
ABSTRACT
The information on the clinical course of coronavirus disease 2019 (COVID-19) and its correlates which are essential to assess the hospital care needs of the population are currently limited. We investigated the factors associated with hospital stay and death for COVID-19 patients for the entire state of Karnataka, India. A retrospective-cohort analysis was conducted on 445 COVID-19 patients that were reported in the publicly available media-bulletin from March 9, 2020, to April 23, 2020, for the Karnataka state. This fixed cohort was followed till 14 days (May 8, 2020) for definitive outcomes (death/discharge). The median length of hospital stay was 17 days (interquartile range 15-20) for COVID-19 patients. Having severe disease at the time of admission (adjusted-hazard-ratio 9.3 (3.2-27.3);P < 0.001) and being aged ≥ 60 years (adjusted-hazard-ratio 11.9 (3.5-40.6);P < 0.001) were the significant predictors of COVID-19 mortality. By moving beyond descriptive (which provide only crude information) to survival analyses, information on the local hospital-related characteristics will be crucial to model bed-occupancy demands for contingency planning during COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Hospitalization Type of study: Cohort study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Indian J Public Health Year: 2020 Document Type: Article Affiliation country: Ijph.IJPH_486_20

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Hospitalization Type of study: Cohort study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Indian J Public Health Year: 2020 Document Type: Article Affiliation country: Ijph.IJPH_486_20