Literature DB >> 33351077

The Clinical Course of Coronavirus Disease 2019 in a US Hospital System: A Multistate Analysis.

Aaloke Mody, Patrick G Lyons, Cristina Vazquez Guillamet, Andrew Michelson, Sean Yu, Angella Sandra Namwase, Pratik Sinha, William G Powderly, Keith Woeltje, Elvin H Geng.   

Abstract

There are limited data on longitudinal outcomes for coronavirus disease 2019 (COVID-19) hospitalizations that account for transitions between clinical states over time. Using electronic health record data from a hospital network in the St. Louis, Missouri, region, we performed multistate analyses to examine longitudinal transitions and outcomes among hospitalized adults with laboratory-confirmed COVID-19 with respect to 15 mutually exclusive clinical states. Between March 15 and July 25, 2020, a total of 1,577 patients in the network were hospitalized with COVID-19 (49.9% male; median age, 63 years (interquartile range, 50-75); 58.8% Black). Overall, 34.1% (95% confidence interval (CI): 26.4, 41.8) had an intensive care unit admission and 12.3% (95% CI: 8.5, 16.1) received invasive mechanical ventilation (IMV). The risk of decompensation peaked immediately after admission; discharges peaked around days 3-5, and deaths plateaued between days 7 and 16. At 28 days, 12.6% (95% CI: 9.6, 15.6) of patients had died (4.2% (95% CI: 3.2, 5.2) had received IMV) and 80.8% (95% CI: 75.4, 86.1) had been discharged. Among those receiving IMV, 35.1% (95% CI: 28.2, 42.0) remained intubated after 14 days; after 28 days, 37.6% (95% CI: 30.4, 44.7) had died and only 37.7% (95% CI: 30.6, 44.7) had been discharged. Multistate methods offer granular characterizations of the clinical course of COVID-19 and provide essential information for guiding both clinical decision-making and public health planning.
© The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.

Entities:  

Keywords:  COVID-19 hospitalizations; age-stratified mortality; clinical course; coronavirus disease 2019; intensive care unit; longitudinal trajectory; mechanical ventilation; multistate analysis

Mesh:

Year:  2021        PMID: 33351077      PMCID: PMC7799307          DOI: 10.1093/aje/kwaa286

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  3 in total

1.  Predicting COVID-19 progression from diagnosis to recovery or death linking primary care and hospital records in Castilla y León (Spain).

Authors:  Pedro C Álvarez-Esteban; Eustasio Del Barrio; Oscar M Rueda; Cristina Rueda
Journal:  PLoS One       Date:  2021-09-20       Impact factor: 3.240

2.  Respiratory support status from EHR data for adult population: classification, heuristics, and usage in predictive modeling.

Authors:  Sean C Yu; Mackenzie R Hofford; Albert M Lai; Marin H Kollef; Philip R O Payne; Andrew P Michelson
Journal:  J Am Med Inform Assoc       Date:  2022-04-13       Impact factor: 7.942

3.  Imbalance between alpha-1-antitrypsin and interleukin 6 is associated with in-hospital mortality and thrombosis during COVID-19.

Authors:  Aurélien Philippe; Mathilde Puel; Céline Narjoz; Nicolas Gendron; Marie Agnès Durey-Dragon; Benoit Vedie; Malika Balduyck; Richard Chocron; Caroline Hauw-Berlemont; Olivier Sanchez; Tristan Mirault; Jean-Luc Diehl; David M Smadja; Marie Anne Loriot
Journal:  Biochimie       Date:  2022-08-08       Impact factor: 4.372

  3 in total

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