Neutrophil-to-Lymphocyte and Platelet Ratio (N/LP Ratio), a Reliable Criterion for Predicting In-Hospital Mortality in Both Genders Infected With SARS-CoV-2
2024

Neutrophil-to-Lymphocyte and Platelet Ratio as a Predictor of COVID-19 Mortality

Sample size: 2007 publication 10 minutes Evidence: high

Author Information

Author(s): Jafar Mohammadshahi, Hassan Ghobadi, Afshan Shargi, Hossein Moradkhani, Hamed Rezaei, Mahur Kazemy, Mohammad Reza Aslani

Primary Institution: Ardabil University of Medical Sciences

Hypothesis

This study aimed to assess the impact of systemic inflammatory markers on both men and women who were admitted to the hospital due to SARS-CoV-2 infection.

Conclusion

The N/LP ratio is a reliable predictor of mortality in both men and women with COVID-19.

Supporting Evidence

  • The N/LP ratio was significantly associated with survival in both genders.
  • Adjusted systemic inflammation indices were higher in deceased patients compared to survivors.
  • Men had higher levels of certain inflammatory markers than women.
  • Women had stronger immune responses than men under SARS-CoV-2 infection.
  • ROC analysis showed significant AUC levels for systemic inflammation indices in both sexes.
  • Multivariate Cox regression indicated N/LP ratio as a significant predictor of survival.
  • Age and hospitalization stay were higher in deceased patients.
  • Systemic inflammation indices can help in managing COVID-19 patients.

Takeaway

Doctors can use the N/LP ratio to help predict if COVID-19 patients might not survive.

Methodology

A retrospective study analyzing laboratory parameters of COVID-19 patients using ROC analysis and Kaplan–Meier curves.

Potential Biases

Potential biases due to the retrospective nature of the study and the use of data from a single hospital.

Limitations

The study was conducted at a single institution, which may limit the generalizability of the results.

Participant Demographics

1145 male and 862 female COVID-19 patients.

Statistical Information

P-Value

p<0.01

Confidence Interval

95% CI = 1.161 to 2.107 for men; 95% CI = 1.230 to 2.477 for women.

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1155/mi/5720709

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication