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. 2022 Jun 23;12(6):e057725.
doi: 10.1136/bmjopen-2021-057725.

Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2

Chuan Hong #  1 Harrison G Zhang #  1 Sehi L'Yi #  1 Griffin Weber  1 Paul Avillach  1 Bryce W Q Tan  2 Alba Gutiérrez-Sacristán  1 Clara-Lea Bonzel  1 Nathan P Palmer  1 Alberto Malovini  3 Valentina Tibollo  3 Yuan Luo  4 Meghan R Hutch  4 Molei Liu  5 Florence Bourgeois  6 Riccardo Bellazzi  7 Luca Chiovato  8 Fernando J Sanz Vidorreta  9 Trang T Le  10 Xuan Wang  1 William Yuan  1 Antoine Neuraz  11 Vincent Benoit  12 Bertrand Moal  13 Michele Morris  14 David A Hanauer  15 Sarah Maidlow  16 Kavishwar Wagholikar  17 Shawn Murphy  18 Hossein Estiri  17 Adeline Makoudjou  19 Patric Tippmann  20 Jeffery Klann  17 Robert W Follett  9 Nils Gehlenborg  1 Gilbert S Omenn  21 Zongqi Xia  22 Arianna Dagliati  7 Shyam Visweswaran  23 Lav P Patel  24 Danielle L Mowery  10 Emily R Schriver  25 Malarkodi Jebathilagam Samayamuthu  26 Ramakanth Kavuluru  27 Sara Lozano-Zahonero  19 Daniela Zöller  19 Amelia L M Tan  1 Byorn W L Tan  2 Kee Yuan Ngiam  28 John H Holmes  10   29 Petra Schubert  30 Kelly Cho  30 Yuk-Lam Ho  30 Brett K Beaulieu-Jones  31 Miguel Pedrera-Jiménez  32 Noelia García-Barrio  32 Pablo Serrano-Balazote  32 Isaac Kohane  1 Consortium for Clinical Characterization of COVID-19 by EHR (4CE)Andrew South #  33 Gabriel A Brat #  1 T Cai #  34
Affiliations

Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2

Chuan Hong et al. BMJ Open. .

Abstract

Objective: To assess changes in international mortality rates and laboratory recovery rates during hospitalisation for patients hospitalised with SARS-CoV-2 between the first wave (1 March to 30 June 2020) and the second wave (1 July 2020 to 31 January 2021) of the COVID-19 pandemic.

Design, setting and participants: This is a retrospective cohort study of 83 178 hospitalised patients admitted between 7 days before or 14 days after PCR-confirmed SARS-CoV-2 infection within the Consortium for Clinical Characterization of COVID-19 by Electronic Health Record, an international multihealthcare system collaborative of 288 hospitals in the USA and Europe. The laboratory recovery rates and mortality rates over time were compared between the two waves of the pandemic.

Primary and secondary outcome measures: The primary outcome was all-cause mortality rate within 28 days after hospitalisation stratified by predicted low, medium and high mortality risk at baseline. The secondary outcome was the average rate of change in laboratory values during the first week of hospitalisation.

Results: Baseline Charlson Comorbidity Index and laboratory values at admission were not significantly different between the first and second waves. The improvement in laboratory values over time was faster in the second wave compared with the first. The average C reactive protein rate of change was -4.72 mg/dL vs -4.14 mg/dL per day (p=0.05). The mortality rates within each risk category significantly decreased over time, with the most substantial decrease in the high-risk group (42.3% in March-April 2020 vs 30.8% in November 2020 to January 2021, p<0.001) and a moderate decrease in the intermediate-risk group (21.5% in March-April 2020 vs 14.3% in November 2020 to January 2021, p<0.001).

Conclusions: Admission profiles of patients hospitalised with SARS-CoV-2 infection did not differ greatly between the first and second waves of the pandemic, but there were notable differences in laboratory improvement rates during hospitalisation. Mortality risks among patients with similar risk profiles decreased over the course of the pandemic. The improvement in laboratory values and mortality risk was consistent across multiple countries.

Keywords: COVID-19; Epidemiology; Public health.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Demographic shifts. For demographic variables, we set male sex, age 50–69 years and white race as reference groups.
Figure 2
Figure 2
Distribution of laboratory values at admission.
Figure 3
Figure 3
Patient-level laboratory recovery rate. CRP, C reactive protein.
Figure 4
Figure 4
HRs of the Cox model for mortality risk prediction (excluding Italy). ALT, alanine aminotransferase; AST, aspartate aminotransferase; CRP, C reactive protein.
Figure 5
Figure 5
Risk model results with event rate information and risk stratification.

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