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Inference from longitudinal laboratory tests characterizes temporal evolution of COVID-19-associated coagulopathy (CAC).
Pawlowski, Colin; Wagner, Tyler; Puranik, Arjun; Murugadoss, Karthik; Loscalzo, Liam; Venkatakrishnan, A J; Pruthi, Rajiv K; Houghton, Damon E; O'Horo, John C; Morice, William G; Williams, Amy W; Gores, Gregory J; Halamka, John; Badley, Andrew D; Barnathan, Elliot S; Makimura, Hideo; Khan, Najat; Soundararajan, Venky.
  • Pawlowski C; nference, inc, Cambridge, United States.
  • Wagner T; nference, inc, Cambridge, United States.
  • Puranik A; nference, inc, Cambridge, United States.
  • Murugadoss K; nference, inc, Cambridge, United States.
  • Loscalzo L; nference, inc, Cambridge, United States.
  • Venkatakrishnan AJ; nference, inc, Cambridge, United States.
  • Pruthi RK; Mayo Clinic, Rochester, United States.
  • Houghton DE; Mayo Clinic, Rochester, United States.
  • O'Horo JC; Mayo Clinic, Rochester, United States.
  • Morice WG; Mayo Clinic, Rochester, United States.
  • Williams AW; Mayo Clinic Laboratories, Rochester, United States.
  • Gores GJ; Mayo Clinic, Rochester, United States.
  • Halamka J; Mayo Clinic, Rochester, United States.
  • Badley AD; Mayo Clinic, Rochester, United States.
  • Barnathan ES; Mayo Clinic Platform, Rochester, United States.
  • Makimura H; Mayo Clinic, Rochester, United States.
  • Khan N; Janssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States.
  • Soundararajan V; Janssen pharmaceutical companies of Johnson & Johnson (J&J), Spring House, United States.
Elife ; 92020 08 17.
Article in English | MEDLINE | ID: covidwho-2155739
ABSTRACT
Temporal inference from laboratory testing results and triangulation with clinical outcomes extracted from unstructured electronic health record (EHR) provider notes is integral to advancing precision medicine. Here, we studied 246 SARS-CoV-2 PCR-positive (COVIDpos) patients and propensity-matched 2460 SARS-CoV-2 PCR-negative (COVIDneg) patients subjected to around 700,000 lab tests cumulatively across 194 assays. Compared to COVIDneg patients at the time of diagnostic testing, COVIDpos patients tended to have higher plasma fibrinogen levels and lower platelet counts. However, as the infection evolves, COVIDpos patients distinctively show declining fibrinogen, increasing platelet counts, and lower white blood cell counts. Augmented curation of EHRs suggests that only a minority of COVIDpos patients develop thromboembolism, and rarely, disseminated intravascular coagulopathy (DIC), with patients generally not displaying platelet reductions typical of consumptive coagulopathies. These temporal trends provide fine-grained resolution into COVID-19 associated coagulopathy (CAC) and set the stage for personalizing thromboprophylaxis.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Blood Coagulation / Blood Coagulation Disorders / Blood Coagulation Tests / Coronavirus Infections / Clinical Laboratory Techniques / Betacoronavirus Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Qualitative research Limits: Aged / Female / Humans / Male / Middle aged Language: English Year: 2020 Document Type: Article Affiliation country: ELife.59209

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Blood Coagulation / Blood Coagulation Disorders / Blood Coagulation Tests / Coronavirus Infections / Clinical Laboratory Techniques / Betacoronavirus Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Qualitative research Limits: Aged / Female / Humans / Male / Middle aged Language: English Year: 2020 Document Type: Article Affiliation country: ELife.59209