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An integrated framework for identifying clinical-laboratory indicators for novel pandemics: COVID-19 and MIS-C.
Nahari, Adam D; Son, Mary Beth F; Newburger, Jane W; Reis, Ben Y.
  • Nahari AD; Predictive Medicine Group, Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
  • Son MBF; Division of Immunology, Boston Children's Hospital, Boston, MA, USA.
  • Newburger JW; Harvard Medical School, Boston, MA, USA.
  • Reis BY; Harvard Medical School, Boston, MA, USA.
NPJ Digit Med ; 5(1): 9, 2022 Jan 20.
Article in English | MEDLINE | ID: covidwho-1635827
ABSTRACT
During the critical early stages of an emerging pandemic, limited availability of pathogen-specific testing can severely inhibit individualized risk screening and pandemic tracking. Standard clinical laboratory tests offer a widely available complementary data source for first-line risk screening and pandemic surveillance. Here, we propose an integrated framework for developing clinical-laboratory indicators for novel pandemics that combines population-level and individual-level analyses. We apply this framework to 7,520,834 clinical laboratory tests recorded over five years and find clinical-lab-test combinations that are strongly associated with SARS-CoV-2 PCR test results and Multisystem Inflammatory Syndrome in Children (MIS-C) diagnoses Interleukin-related tests (e.g. IL4, IL10) were most strongly associated with SARS-CoV-2 infection and MIS-C, while other more widely available tests (ferritin, D-dimer, fibrinogen, alanine transaminase, and C-reactive protein) also had strong associations. When novel pandemics emerge, this framework can be used to identify specific combinations of clinical laboratory tests for public health tracking and first-line individualized risk screening.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Language: English Journal: NPJ Digit Med Year: 2022 Document Type: Article Affiliation country: S41746-021-00547-9

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Prognostic study Language: English Journal: NPJ Digit Med Year: 2022 Document Type: Article Affiliation country: S41746-021-00547-9