白细胞介素6和C反应蛋白预测新型冠状病毒肺炎严重程度的meta分析

doi:10.3969/j.issn.1004-583X.2023.06.002

摘要/Abstract

摘要：

目的探讨白介素-6(IL-6)和C反应蛋白(CRP)预测新型冠状病毒肺炎(COVID-19)严重程度的临床价值。方法计算机检索PubMed、Web of Science、Scopus、Embase、中国知网(CNKI)、万方数据知识服务平台(Wanfang Data)、维普数据库(VIP)及中国生物医学文献数据库(CBM),搜集以COVID-19为主题的相关研究,检索时间为2019-12-01至2021-01-16,由两名研究人员独立筛选文献、提取资料,采用RevMan5.4软件进行meta分析。结果共纳入18篇文献,共计4286例COVID-19患者,其中轻症组2662例,重症组1624例。与轻症组比较,重症组IL-6水平显著高于轻症组,差异有统计学意义( SMD =0.92,95% CI :0.65~1.18, P <0.01),重症组CRP水平也显著高于轻症组,差异有统计学意义( SMD =1.47,95% CI :1.03~1.91, P <0.01)。结论 IL-6和CRP水平的升高与COVID-19的严重程度呈正相关,可作为临床COVID-19患者风险分层的炎症指标,为临床治疗提供有意义的依据。

关键词: 新型冠状病毒感染, 白细胞介素6, C反应蛋白质, meta分析

Abstract:

Objective To investigate the clinical values of interleukin-6 (IL-6) and C-reactive protein (CRP) in predicting the severity of coronavirus disease 2019 (COVID-19). Methods Relevant studies about COVID-19 published between December 1, 2019 and January 16, 2021 were searched in online databases of Web of Science, Scopus, Embase, CNKI, Wanfang Data, VIP and CBM. Two investigators were independently responsible for literature screening and data extraction. RevMan5.4 software was used for meta-analysis. Resultss A total of 18 literatures involving 4286 COVID-19 patients were collected, including 1624 in severe group and 2662 in mild group. IL-6 ( SMD =0.92, 95% CI : 0.65-1.18, P <0.01) and CRP levels ( SMD =1.47, 95% CI : 1.03-1.91; P <0.01) in COVID-19 patients of severe group were significantly higher than those of mild group.Conclusion The increases in IL-6 and CRP levels are positively correlated with the severity of COVID-19, serving as inflammation markers for risk stratification of COVID-19, and providing meaningful references for clinical treatment.

Key words: COVID-19, interleukin-6, C-reactive protein, meta-analysis

中图分类号:

R563.12

倪艺芸, 刘彬, 梁琪, 李晓凤. 白细胞介素6和C反应蛋白预测新型冠状病毒肺炎严重程度的meta分析[J]. 临床荟萃, 2023, 38(6): 493-499.

Ni Yiyun, Liu Bin, Liang Qi, Li Xiaofeng. Values of IL-6 and CRP in predicting the severity of coronavirus disease 2019: A meta-analysis[J]. Clinical Focus, 2023, 38(6): 493-499.

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链接本文: https://huicui.hebmu.edu.cn/CN/10.3969/j.issn.1004-583X.2023.06.002

https://huicui.hebmu.edu.cn/CN/Y2023/V38/I6/493

图/表 7

参考文献 44

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纳入研究	研究类型	研究来源	总样本量	性别 (男/女)	平均数/中位数年龄(岁)	NOS评分
Liu 2020^[18]	单中心回顾性研究	中国,武汉	294	162/132	56(39~67)	6
Jurado 2020^[19]	多中心回顾性研究	西班牙,多个地区	584	349/235	63.0±16.5	8
Yi 2020^[20]	单中心回顾性研究	中国,浙江	100	63/37	54(42~64)	6
Zhang 2020^[21]	单中心回顾性研究	中国,武汉	134	87/47	60.8±13.0	8
Yuan 2020^[22]	单中心回顾性研究	中国,福建	117	56/61	66(57~71)	6
Wei 2020^[23]	单中心回顾性研究	中国,武汉	565	289/276	66(59~72)	6
Liao 2020^[24]	多中心回顾性研究	中国,武汉	294	156/138	64(53~73)	8
Gao 2020^[25]	单中心回顾性研究	中国,黑龙江	126	66/60	64.9±12.8	6
Shi 2020^[26]	多中心回顾性研究	中国,陕西	134	65/69	46(34~58)	8
Lv 2020^[27]	单中心回顾性研究	中国,武汉	270	135/135	62.0±11.2	6
Wang 2020^[28]	单中心回顾性研究	中国,武汉	123	60/63	68(56~78)	8
孙昀 2020^[29]	多中心回顾性研究	中国,安徽	168	95/73	42.6±15.8	6
杨秀红 2020^[30]	单中心回顾性研究	中国,武汉	365	162/203	60.2±14.2	8
魏剑浩 2020^[31]	多中心回顾性研究	中国,上海	328	170/158	51.0±12.0	6
吕宁 2020^[32]	单中心回顾性研究	中国,深圳	246	119/127	44.0±13.2	6
张永喜 2020^[33]	单中心回顾性研究	中国,武汉	203	108/95	54.0±11.8	6
邹义龙 2020^[34]	单中心回顾性研究	中国,武汉	83	36/47	67.0±12.9	6
刘浩 2020^[35]	单中心回顾性研究	中国,武汉	152	84/68	56.5±13.5	6

纳入研究	研究类型	研究来源	总样本量	性别 (男/女)	平均数/中位数年龄(岁)	NOS评分
Liu 2020^[18]	单中心回顾性研究	中国,武汉	294	162/132	56(39~67)	6
Jurado 2020^[19]	多中心回顾性研究	西班牙,多个地区	584	349/235	63.0±16.5	8
Yi 2020^[20]	单中心回顾性研究	中国,浙江	100	63/37	54(42~64)	6
Zhang 2020^[21]	单中心回顾性研究	中国,武汉	134	87/47	60.8±13.0	8
Yuan 2020^[22]	单中心回顾性研究	中国,福建	117	56/61	66(57~71)	6
Wei 2020^[23]	单中心回顾性研究	中国,武汉	565	289/276	66(59~72)	6
Liao 2020^[24]	多中心回顾性研究	中国,武汉	294	156/138	64(53~73)	8
Gao 2020^[25]	单中心回顾性研究	中国,黑龙江	126	66/60	64.9±12.8	6
Shi 2020^[26]	多中心回顾性研究	中国,陕西	134	65/69	46(34~58)	8
Lv 2020^[27]	单中心回顾性研究	中国,武汉	270	135/135	62.0±11.2	6
Wang 2020^[28]	单中心回顾性研究	中国,武汉	123	60/63	68(56~78)	8
孙昀 2020^[29]	多中心回顾性研究	中国,安徽	168	95/73	42.6±15.8	6
杨秀红 2020^[30]	单中心回顾性研究	中国,武汉	365	162/203	60.2±14.2	8
魏剑浩 2020^[31]	多中心回顾性研究	中国,上海	328	170/158	51.0±12.0	6
吕宁 2020^[32]	单中心回顾性研究	中国,深圳	246	119/127	44.0±13.2	6
张永喜 2020^[33]	单中心回顾性研究	中国,武汉	203	108/95	54.0±11.8	6
邹义龙 2020^[34]	单中心回顾性研究	中国,武汉	83	36/47	67.0±12.9	6
刘浩 2020^[35]	单中心回顾性研究	中国,武汉	152	84/68	56.5±13.5	6