Biomarker of severity in hospitalised patients with COVID-19: a retrospective study

Fen-Hong Qian1, Yu-Xue Liu2, Yu Cao2

  • 1Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China zhaoqian604@126.com.

BMJ Open
|July 17, 2024
PubMed

Insights

The novel coronavirus (COVID-19) caused millions of deaths globally. This study found that the albumin-neutrophil count to lymphocyte count ratio score (ANS) can predict COVID-19 severity.

Area of Science:

  • Medical Research
  • Infectious Diseases
  • Biomarkers

Background:

  • The COVID-19 pandemic caused significant global mortality.
  • Severe cases of COVID-19 had high mortality rates.

Purpose of the Study:

  • To evaluate the albumin-neutrophil count to lymphocyte count ratio score (ANS) as a prognostic indicator for COVID-19 severity.
  • To determine if ANS can predict the likelihood of severe disease progression.

Main Methods:

  • Retrospective study design.
  • Patients classified as non-severe (n=270) or severe (n=100) based on WHO criteria.
  • Analysis of neutrophil count to lymphocyte count ratio (NLR), serum albumin levels, and ANS.

Main Results:

  • Severe COVID-19 patients exhibited significantly higher NLR and lower serum albumin levels.
  • Optimal cut-off values for serum albumin and NLR were identified as 33.5 g/L and 8.25, respectively.
  • Serum albumin, NLR, and ANS were independent prognostic indicators of severe COVID-19.

Conclusions:

  • The albumin-neutrophil count to lymphocyte count ratio score (ANS) can serve as a prognostic indicator for COVID-19 severity.
  • ANS provides valuable information for predicting disease progression in COVID-19 patients.
Abstract