Blood biochemical parameters for assessment of COVID-19 in diabetic and non-diabetic subjects: a cross-sectional study.

This study aims to identify blood biomarkers for rapidly predicting progression and severity assessment of COVID-19 in type 2 diabetic (DM) and non-DM (NDM) patients. Among 211 hospitalized patients suspected of COVID-19, 98 were confirmed COVID-19 by rRT-PCR. The COVID-19 positive group contained 5...

Full description

Bibliographic Details
Published in:International Journal of Environmental Health Research Vol. 32; no. 6; pp. 1344 - 1359
Main Authors: Malik, Syeda Umme Fahmida, Chowdhury, Parveen Afroz, Hakim, Al, Islam, Mohammad Shahidul, Alam, Md Jahangir, Azad, Abul Kalam
Format: research tables/charts Journal Article
Published: Taylor & Francis Ltd Jun2022
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=156614836&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 156614836
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        09603123
        57L
      jtl: International Journal of Environmental Health Research
      issn: 09603123
      maglogo: Y
    pubinfo:
      dt: Jun2022
      vid: 32
      iid: 6
      pid: 377
      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
    artinfo:
      ui:
        156614836
        148330354
        156614836
        156614836
        10.1080/09603123.2021.1879741
        156614836
      ppf: 1344
      ppct: 15
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Blood biochemical parameters for assessment of COVID-19 in diabetic and non-diabetic subjects: a cross-sectional study.
      aug:
        au:
          Malik, Syeda Umme Fahmida
          Chowdhury, Parveen Afroz
          Hakim, Al
          Islam, Mohammad Shahidul
          Alam, Md Jahangir
          Azad, Abul Kalam
        affil: Department of Genetic Engineering and Biotechnology, School of Life Sciences, Shahjalal University of Science and Technology, Sylhet, Bangladesh
      sug:
        subj:
          Diabetes Mellitus, Type 2
          Diabetic Patients
          COVID-19 Physiopathology
          Disease Progression
          Severity of Illness
          Biological Markers Blood
          Human
          Cross Sectional Studies
          Inpatients
          Descriptive Statistics
          Data Analysis Software
          Bangladesh
          T-Tests
          Exploratory Research
          Male
          Female
          Young Adult
          Adult
          Middle Age
          Aged
          Aged, 80 and Over
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Aged, 80 & over
          Male
          Female
      ab: This study aims to identify blood biomarkers for rapidly predicting progression and severity assessment of COVID-19 in type 2 diabetic (DM) and non-DM (NDM) patients. Among 211 hospitalized patients suspected of COVID-19, 98 were confirmed COVID-19 by rRT-PCR. The COVID-19 positive group contained 58 DM and 40 NDM patients with total death 9 of which 7 were males and 6 were DM, indicating males and DM individuals as more susceptible to COVID-19. Blood biomarkers notably serum ferritin, CRP, D-dimer, ALT, troponin I, and Hb1Ac were significantly (p < 0.05) higher in COVID-19 patients. Ferritin and HbA1c levels were significantly (p < 0.05) higher in DM than NDM COVID-19 patients. The present study suggests that ferritin and HbA1c levels for DM patients, and ferritin, D-dimer, ALT for NDM patients could be routinely used as biomarkers for progression and severity assessment of COVID-19. CRP and Troponin-I could be the predictor only for poor prognosis of COVID-19.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N