Background To explore the relationship between peripheral lymphocyte counts (PLCs) and the mortality risk of coronavirus disease 2019 (COVID-19), as well as the potential of PLC for predicting COVID-19 hospitalized patients death. Methods Baseline characteristics, laboratory tests, imaging examinations, and outcomes of 134 consecutive COVID-19 hospitalized patients were collected from a tertiary hospital in Wuhan city from January 25 to February 24, 2020. Multiple regression analysis was used to analyze the relationship between the PLC at admission and mortality risk in COVID-19 patients and to establish a model for predicting death in COVID-19 hospitalized patients based on PLC. Results After adjusting for potential confounding factors, we found a non-linear relationship and threshold saturation effect between PLC and mortality risk in COVID-19 patients (infection point of PLC: 0.95 × 10 9 /L). Multiple regression analysis showed that when PLCs of COVID-19 patients were lower than 0.95 × 10 9 /L, the patients had a significantly higher mortality risk as compared to COVID-19 patient with PLCs > 0.95 × 10 9 /L (OR 7.27; 95% CI 1.10–48.25). The predictive power of PLC for death in COVID-19 patients (presented as area under the curve) was 0.78. The decision curve analysis showed that PLC had clinical utility for the prediction of death in COVID-19 inpatients. Conclusions PLC had a non-linear relationship with mortality risk in COVID-19 inpatients. Reduced PLCs (< 0.95 × 10 9 /L) were associated with an increased mortality risk in COVID-19 inpatients. PLCs also had a potential predictive value for the death of COVID-19 inpatients. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-021-01422-9.
【저자키워드】 Coronavirus disease 2019, Mortality, prediction, Lymphocyte count, Non-linear relationship, 【초록키워드】 COVID-19, coronavirus disease, Coronavirus disease 2019, hospital, Infection, risk, Laboratory tests, outcome, Predictive value, Non-linear relationship, lymphocyte, Characteristics, Wuhan, Patient, death, threshold, Admission, COVID-19 patients, mortality risk, Analysis, COVID-19 patient, Predictive, Inpatients, regression analysis, supplementary material, 95% CI, clinical utility, increased mortality, confounding factors, decision curve analysis, Multiple regression analysis, predictive power, Multiple, peripheral lymphocyte, Result, was used, collected, the patient, hospitalized patient, significantly higher, death in COVID-19, 【제목키워드】 COVID-19, lymphocyte, Inpatient, peripheral lymphocyte,