Gamma-glutamyl-transferase may predict COVID-19 outcomes in hospitalised patients


Kasapoglu B., Yozgat A., Tanoglu A., CAN G., Sakin Y. S. , KEKİLLİ M.

INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, vol.75, no.12, 2021 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 75 Issue: 12
  • Publication Date: 2021
  • Doi Number: 10.1111/ijcp.14933
  • Journal Name: INTERNATIONAL JOURNAL OF CLINICAL PRACTICE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CAB Abstracts, CINAHL, EMBASE, International Pharmaceutical Abstracts, MEDLINE
  • Gazi University Affiliated: Yes

Abstract

Aim In this study, we aimed to define the predictive role of liver function tests at admission to the hospital in outcomes of hospitalised patients with COVID-19. Material and Method In this multicentric retrospective study, a total of 269 adult patients (>= 18 years of age) with confirmed COVID-19 who were hospitalised for the treatment were enrolled. Demographic features, complete medical history and laboratory findings of the study participants at admission were obtained from the medical records. Patients were grouped regarding their intensive care unit (ICU) requirements during their hospitalisation periods. Results Among all 269 participants, 106 were hospitalised in the ICU and 66 died. The patients hospitalised in ICU were older than patients hospitalised in wards (P = .001) and expired patients were older than alive patients (P = .001). Age, elevated serum D-dimer, creatinine and gamma-glutamyl transferase (GGT) levels at admission were independent factors predicting ICU hospitalisation and mortality in COVID-19 patients. Conclusion In conclusion, in hospitalised patients with COVID-19, laboratory data on admission, including serum, creatinine, GGT and d-dimer levels have an important predictive role for the ICU requirement and mortality. Since these tests are readily available in all hospitals and inexpensive, some predictive formulas may be calculated with these parameters at admission, to define the patients requiring intensive care.