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The derived neutrophil to lymphocyte ratio can be the predictor of prognosis for COVID-19 Omicron BA.2 infected patients.
Qiu, Weiji; Shi, Qiqing; Chen, Fang; Wu, Qian; Yu, Xiya; Xiong, Lize.
  • Qiu W; Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Shi Q; Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai, China.
  • Chen F; Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Wu Q; Clinical Research Centre for Anesthesiology and Perioperative Medicine, Tongji University, Shanghai, China.
  • Yu X; Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
  • Xiong L; Shanghai Key Laboratory of Anesthesiology and Brain Functional Modulation, Shanghai, China.
Front Immunol ; 13: 1065345, 2022.
Article in English | MEDLINE | ID: covidwho-2123419
ABSTRACT

Background:

Several systemic inflammatory biomarkers have been associated with poor overall survival (OS) and disease severity in patients with coronavirus disease 2019 (COVID-19). However, it remains unclear which markers are better for predicting prognosis, especially for COVID-19 Omicron BA.2 infected patients. The present study aimed to identify reliable predictors of prognosis of COVID-19 Omicron BA.2 from inflammatory indicators.

Methods:

A cohort of 2645 COVID-19 Omicron BA.2 infected patients were retrospectively analyzed during the Omicron BA.2 surge in Shanghai between April 12, 2022, and June 17, 2022. The patients were admitted to the Shanghai Fourth People's Hospital, School of Medicine, Tongji University. Six systemic inflammatory indicators were included, and their cut-off points were calculated using maximally selected rank statistics. The analysis involved Kaplan-Meier curves, univariate and multivariate Cox proportional hazard models, and time-dependent receiver operating characteristic curves (time-ROC) for OS-associated inflammatory indicators.

Results:

A total of 2347 COVID-19 Omicron BA.2 infected patients were included. All selected indicators proved to be independent predictors of OS in the multivariate analysis (all P < 0.01). A high derived neutrophil to lymphocyte ratio (dNLR) was associated with a higher mortality risk of COVID-19 [hazard ratio, 4.272; 95% confidence interval (CI), 2.417-7.552]. The analyses of time-AUC and C-index showed that the dNLR (C-index 0.844, 0.824, and 0.718 for the 5th, 10th, and 15th day, respectively) had the best predictive power for OS in COVID-19 Omicron BA.2 infected patients. Among different sub-groups, the dNLR was the best predictor for OS regardless of age (0.811 for patients aged ≥70 years), gender (C-index, 0.880 for men and 0.793 for women) and disease severity (C-index, 0.932 for non-severe patients and 0.658 for severe patients). However, the platelet to lymphocyte ratio was superior to the other indicators in patients aged <70 years.

Conclusions:

The prognostic ability of the dNLR was higher than the other evaluated inflammatory indicators for all COVID-19 Omicron BA.2 infected patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Neutrophils Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Variants Limits: Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Front Immunol Year: 2022 Document Type: Article Affiliation country: Fimmu.2022.1065345

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Neutrophils Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Variants Limits: Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Front Immunol Year: 2022 Document Type: Article Affiliation country: Fimmu.2022.1065345