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Neutrophil to CD4+ lymphocyte ratio as a potential biomarker in predicting virus negative conversion time in COVID-19.
Wang, Haizhou; Zhang, Yongxi; Mo, Pingzheng; Liu, Jing; Wang, Hongling; Wang, Fan; Zhao, Qiu.
  • Wang H; Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China.
  • Zhang Y; Department of Infectious Disease, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.
  • Mo P; Department of Infectious Disease, Zhongnan Hospital of Wuhan University, Wuhan 430071, Hubei, China.
  • Liu J; Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China.
  • Wang H; Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China.
  • Wang F; Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China. Electronic address: fanndywang@foxmail.com.
  • Zhao Q; Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China; Hubei Clinical Center & Key Lab of Intestinal & Colorectal Diseases, Wuhan, China. Electronic address: zhaoqiuwhu@163.com.
Int Immunopharmacol ; 85: 106683, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-548979
ABSTRACT

BACKGROUND:

Since December 2019, novel coronavirus (SARS-CoV-2)-infected pneumonia (COVID-19) occurred in Wuhan, and rapidly spread throughout China. Our study aimed to evaluate the robustness of neutrophil to CD4+ lymphocyte ratio (NCD4LR) in predicting the negative conversion time (NCT) of SARS-CoV-2 in COVID-19 patients.

METHODS:

Univariate and multivariate analysis were conducted to evaluate the independency of NCD4LR in predicting NCT. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) were used to assess the diagnostic accuracy.

RESULTS:

Compared with low NCD4LR patients, patients with high NCD4LR had an older age; higher incidence of fever, fatigue, chest distress/breath shortness, severer disease assessment on admission; higher levels of inflammatory indicators; low levels of lymphocyte subsets, and a longer NCT. Multivariate analysis also identified NCD4LR as an independent risk factor for delayed NCT. ROC analysis showed that NCD4LR had a better performance than neutrophil to lymphocyte ratio in predicting the virus negative conversion within 2 weeks (AUC = 0.772), 3 weeks (AUC = 0.710), 4 weeks (AUC = 0.728), or 5 weeks (AUC = 0.815).

CONCLUSION:

This study suggests that NCD4LR is a potential and useful biomarker for predicting the virus negative conversion time in COVID-19 patients. Furthermore, due to the NCDLR value is easily calculated, it can be widely used as a clinical biomarker for disease progression and clinical outcomes in COVID-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Viremia / CD4-Positive T-Lymphocytes / Coronavirus Infections / Viral Load / Clinical Laboratory Techniques / Betacoronavirus / Leukocyte Count / Antibodies, Viral / Neutrophils Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Int Immunopharmacol Journal subject: Allergy and Immunology / Pharmacology Year: 2020 Document Type: Article Affiliation country: J.intimp.2020.106683

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Viremia / CD4-Positive T-Lymphocytes / Coronavirus Infections / Viral Load / Clinical Laboratory Techniques / Betacoronavirus / Leukocyte Count / Antibodies, Viral / Neutrophils Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Language: English Journal: Int Immunopharmacol Journal subject: Allergy and Immunology / Pharmacology Year: 2020 Document Type: Article Affiliation country: J.intimp.2020.106683