欧米波对轻症COVID-19患者到核酸转化阴性时间的系统性炎症指数(SII)预测价值

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2025-05-01 eCollection Date: 2024-01-01 DOI:10.3389/fmed.2024.1474236
Yuyan Fan, Ning Yang, Jialu Zhuo, Ting Han
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引用次数: 0

摘要

目的:炎症指标是衡量新冠肺炎疫情危害的关键指标。炎症指数对预测欧米克隆波期间核酸状态负转移所需时间的确切影响仍不明确。本研究旨在描述Omicron变异体感染患者的系统性炎症指数(SII)与转化为核酸阴性状态的时间之间的关系,并探讨SII对这种转化的预后有效性。方法:对2022年3月至12月在上海市公共卫生临床中心住院的欧米克隆变异轻症成年患者进行研究。他们被分为早期转化组(轻度病例归因于(bbb10 天)组)。通过分析患者信息、临床特征和实验室结果,我们将患者分为两组。我们使用逻辑回归来寻找SII与病毒测试时间之间的联系,并建立ROC曲线来通过AUC来测量预测值。结果:共纳入2603例患者。单因素分析发现脉搏率、呼吸率、白蛋白前水平、HS-CRP水平、IL-6水平、SII和PNI有很大差异(p p = 0.001)。SII每升高1个单位,10天PCR失败的风险增加0.1% (p )。结论:在由欧米克隆波引起的轻度病例中,SII与导致核酸检测结果阴性的时间之间存在明显的联系,SII值越高,表明转化时间延长的风险越大。通过预测病程,SII可能比其他指标更好地指导治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive value of systemic inflammatory index (SII) for the time to negative nucleic acid conversion in patients with mild COVID-19 by the omicron wave.

Objective: Inflammatory indices are pivotal markers in gaging the harm of the COVID-19 trajectory. The definitive impact of inflammatory indices on forecasting the period required for a negative shift in nucleic acid status during the Omicron wave remains ambiguous. This research endeavors to delineate the relationship between the Systemic Inflammatory Index (SII) and the timeline for conversion to negative nucleic acid status in Omicron variant-infected patients, and to scrutinize the prognostic validity of SII for such conversion.

Methods: Adult patients hospitalized at the Shanghai Public Health Clinical Center with mild cases attributed to the Omicron variant were studied from March to December 2022. They were stratified into early-conversion (with mild cases attributed to (>10 days) groups). Analyzing patient information, clinical traits, and laboratory results, we divided patients into two groups. We used logistic regression to find the link between SII and virus test timing and built ROC curves to measure predictive value via AUC.

Results: A total of 2,603 patients were enrolled. Univariate analysis found big differences in pulse rates, respiratory rates, prealbumin levels, HS-CRP levels, IL-6 levels, SII, and PNI (p < 0.05) between the groups. Adjusting for confounders, logistic regression revealed that the highest SII group had a 1.46 greater risk of not clearing a 10-day PCR test than the lowest group (OR = 1.46; 95% CI, 1.173-1.817, p = 0.001). Each one-unit rise in SII raised the risk of 10-day PCR failure by 0.1% (p < 0.0001). The ROC curve showed SII's AUC as 0.603 (95% CI: 0.576-0.630), predicting virus test turn-around with a cut-off of 920.5, 61.9% specificity, and 52.5% sensitivity. Compared to other indicators such as IL-6 and HS-CRP, SII exhibited the highest AUC value and specificity.

Conclusion: In mild cases caused by the Omicron wave, there was a discernible link between the SII and the period leading to a negative nucleic acid test outcome, with higher SII values indicating an increased risk of prolonged conversion time. SII might help guide treatment better than other indicators by predicting disease course.

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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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