Evaluation of Inflammatory Markers in Patients with COVID-19 Combined with Type 2 Diabetes Mellitus.

IF 2.7 4区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Risk Management and Healthcare Policy Pub Date : 2024-10-26 eCollection Date: 2024-01-01 DOI:10.2147/RMHP.S490281

Jingjing Li, Yu Zhang, Rui Wu, Guodong Ma, Li Sheng, Yun Feng, Yang Han, Lina Zhang, Janfeng Guo, Rongbo Li

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引用次数: 0

Abstract

Purpose: To explore the value of different inflammatory markers in predicting the severity of coronavirus disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM).

Patients and methods: A total of 116 patients with COVID-19 in patients with T2DM were collected from December 2022 to March 2023 and were divided into a mild case group (77 cases) and a severe case group (39 cases). The ratio of neutrophil to lymphocyte (NLR), platelet-to-lymphocyte ratio (PLR), neutrophil to lymphocyte × platelet ratio (NLPR), lymphocyte ratio to monocyte (LMR), systemic inflammatory response index (SIRI), systemic inflammatory index (SII), systemic inflammatory composite index (AISI), procalcitonin (PCT), C-reactive protein (CRP) and lactate dehydrogenase (LDH) were compared between the two groups. The screening effect of each variable on the progression of the disease was analyzed using receiver operating characteristic (ROC) curves.

Results: NLR, PLR, NLPR, MLR, SIRI, SII, AISI, LDH, CRP and PCT in severe case group were higher than those in mild case group (P<0.05), and LMR was lower than those in mild case group (P<0.05). ROC curve analysis further demonstrated the diagnostic performance of these biomarkers, with PCT having the largest area under the ROC curve (AUC^ROC) of 0.83.

Conclusion: NLR, PLR, NLPR, SIRI, SII, LDH, CRP and PCT demonstrate greater reliability in diagnostic value and clinical utility for predicting the severity of COVID-19 in patients with T2DM.

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评估 COVID-19 合并 2 型糖尿病患者的炎症标志物。

目的：探讨不同炎症标志物在预测2型糖尿病（T2DM）患者冠状病毒病2019（COVID-19）严重程度方面的价值：自2022年12月至2023年3月，共收集了116例T2DM患者的COVID-19病例，并将其分为轻度病例组（77例）和重度病例组（39例）。中性粒细胞与淋巴细胞比值（NLR）、血小板与淋巴细胞比值（PLR）、中性粒细胞与淋巴细胞×血小板比值（NLPR）、淋巴细胞与单核细胞比值（LMR）、全身炎症反应指数（SIRI）、比较了两组患者的全身炎症反应指数（SIRI）、全身炎症指数（SII）、全身炎症综合指数（AISI）、降钙素原（PCT）、C 反应蛋白（CRP）和乳酸脱氢酶（LDH）。使用接收器操作特征曲线（ROC）分析了各变量对疾病进展的筛查效果：结果：重症组的 NLR、PLR、NLPR、MLR、SIRI、SII、AISI、LDH、CRP 和 PCT 均高于轻症组（PPROC）0.83：NLR、PLR、NLPR、SIRI、SII、LDH、CRP 和 PCT 在预测 T2DM 患者 COVID-19 严重程度方面具有更高的诊断价值和临床实用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Risk Management and Healthcare Policy Medicine-Public Health, Environmental and Occupational Health

CiteScore

6.20

自引率

2.90%

发文量

242

审稿时长

16 weeks

期刊介绍： Risk Management and Healthcare Policy is an international, peer-reviewed, open access journal focusing on all aspects of public health, policy and preventative measures to promote good health and improve morbidity and mortality in the population. Specific topics covered in the journal include: Public and community health Policy and law Preventative and predictive healthcare Risk and hazard management Epidemiology, detection and screening Lifestyle and diet modification Vaccination and disease transmission/modification programs Health and safety and occupational health Healthcare services provision Health literacy and education Advertising and promotion of health issues Health economic evaluations and resource management Risk Management and Healthcare Policy focuses on human interventional and observational research. The journal welcomes submitted papers covering original research, clinical and epidemiological studies, reviews and evaluations, guidelines, expert opinion and commentary, and extended reports. Case reports will only be considered if they make a valuable and original contribution to the literature. The journal does not accept study protocols, animal-based or cell line-based studies.