Lymphopenia in severe coronavirus disease-2019 (COVID-19): systematic review and meta-analysis

被引:432
作者
Huang, Ian [1 ,2 ]
Pranata, Raymond [1 ]
机构
[1] Univ Pelita Harapan, Fac Med, Tangerang, Banten, Indonesia
[2] Univ Padjadjaran, Hasan Sadikin Gen Hosp, Fac Med, Dept Internal Med, Bandung, Indonesia
关键词
Coronavirus; COVID-19; Lymphocyte count; Lymphopenia; SARS-CoV-2;
D O I
10.1186/s40560-020-00453-4
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objective Clinical and laboratory biomarkers to predict the severity of coronavirus disease 2019 (COVID-19) are essential in this pandemic situation of which resource allocation must be urgently prepared especially in the context of respiratory support readiness. Lymphocyte count has been a marker of interest since the first COVID-19 publication. We conducted a systematic review and meta-analysis in order to investigate the association of lymphocyte count on admission and the severity of COVID-19. We would also like to analyze whether patient characteristics such as age and comorbidities affect the relationship between lymphocyte count and COVID-19. Methods Comprehensive and systematic literature search was performed from PubMed, SCOPUS, EuropePMC, ProQuest, Cochrane Central Databases, and Google Scholar. Research articles in adult patients diagnosed with COVID-19 with information on lymphocyte count and several outcomes of interest, including mortality, acute respiratory distress syndrome (ARDS), intensive care unit (ICU) care, and severe COVID-19, were included in the analysis. Inverse variance method was used to obtain mean differences and its standard deviations. Maentel-Haenszel formula was used to calculate dichotomous variables to obtain odds ratios (ORs) along with its 95% confidence intervals. Random-effect models were used for meta-analysis regardless of heterogeneity. Restricted-maximum likelihood random-effects meta-regression was performed for age, gender, cardiac comorbidity, hypertension, diabetes mellitus, COPD, and smoking. Results There were a total of 3099 patients from 24 studies. Meta-analysis showed that patients with poor outcome have a lower lymphocyte count (mean difference - 361.06 mu L [- 439.18, - 282.95], p < 0.001; I-2 84%) compared to those with good outcome. Subgroup analysis showed lower lymphocyte count in patients who died (mean difference - 395.35 mu L [- 165.64, - 625.07], p < 0.001; I-2 87%), experienced ARDS (mean difference - 377.56 mu L [- 271.89, - 483.22], p < 0.001; I-2 0%), received ICU care (mean difference - 376.53 mu L [- 682.84, - 70.22], p = 0.02; I-2 89%), and have severe COVID-19 (mean difference - 353.34 mu L [- 250.94, - 455.73], p < 0.001; I-2 85%). Lymphopenia was associated with severe COVID-19 (OR 3.70 [2.44, 5.63], p < 0.001; I-2 40%). Meta-regression showed that the association between lymphocyte count and composite poor outcome was affected by age (p = 0.034). Conclusion This meta-analysis showed that lymphopenia on admission was associated with poor outcome in patients with COVID-19.
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页数:10
相关论文
共 36 条
[1]  
[Anonymous], NONSEVERE VS SEVERE
[2]  
[Anonymous], 2020, EUR HEART J
[3]  
[Anonymous], Worldometer. c2020
[4]  
Cai Q, COVID 19 DESIGNATED
[5]  
Cao Min, 2020, medRxiv, DOI 10.1101/2020.03.04.20030395
[6]  
Chen M, 2020, SSRN ELECT J
[7]   Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study [J].
Chen, Nanshan ;
Zhou, Min ;
Dong, Xuan ;
Qu, Jieming ;
Gong, Fengyun ;
Han, Yang ;
Qiu, Yang ;
Wang, Jingli ;
Liu, Ying ;
Wei, Yuan ;
Xia, Jia'an ;
Yu, Ting ;
Zhang, Xinxin ;
Zhang, Li .
LANCET, 2020, 395 (10223) :507-513
[8]  
Feng Z, EARLY PREDICTION DIS
[9]   Clinical Characteristics of Coronavirus Disease 2019 in China [J].
Guan, W. ;
Ni, Z. ;
Hu, Yu ;
Liang, W. ;
Ou, C. ;
He, J. ;
Liu, L. ;
Shan, H. ;
Lei, C. ;
Hui, D. S. C. ;
Du, B. ;
Li, L. ;
Zeng, G. ;
Yuen, K. -Y. ;
Chen, R. ;
Tang, C. ;
Wang, T. ;
Chen, P. ;
Xiang, J. ;
Li, S. ;
Wang, Jin-lin ;
Liang, Z. ;
Peng, Y. ;
Wei, L. ;
Liu, Y. ;
Hu, Ya-hua ;
Peng, P. ;
Wang, Jian-ming ;
Liu, J. ;
Chen, Z. ;
Li, G. ;
Zheng, Z. ;
Qiu, S. ;
Luo, J. ;
Ye, C. ;
Zhu, S. ;
Zhong, N. .
NEW ENGLAND JOURNAL OF MEDICINE, 2020, 382 (18) :1708-1720
[10]  
Huang I, 2020, DIABETES METAB SYNDR