Selected article for: "EHR system and Electronic Health Record EHR system"
Author: Michael Zietz; Nicholas P. Tatonetti
Title: Testing the association between blood type and COVID-19 infection, intubation, and death
  • Document date: 2020_4_11
    • ID: 3xvphg52_8
    Snippet: We performed a meta-analysis using our data in combination with data from Wuhan and Shenzhen reported by Zhao et al. [ 3 ] . These analyses used a random effects model to create pooled estimates of odds ratios for each ABO blood group in comparisons between COV+ individuals and the general populations of New York, Wuhan, and Shenzhen. The distribution of blood groups in the general population was estimated using blood group lab results on 108,860.....
    Document: We performed a meta-analysis using our data in combination with data from Wuhan and Shenzhen reported by Zhao et al. [ 3 ] . These analyses used a random effects model to create pooled estimates of odds ratios for each ABO blood group in comparisons between COV+ individuals and the general populations of New York, Wuhan, and Shenzhen. The distribution of blood groups in the general population was estimated using blood group lab results on 108,860 individuals recorded in the NYP/CUIMC electronic health record (EHR) system between May 2011 and June 2019, excluding results for any individuals later tested for COVID-19 (regardless of result). We then compared the general population blood group distributions between New York and Wuhan and Shenzhen and evaluated the heterogeneity between sites.

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