Maide Alagöz, A. Göker, Evin Ademoğlu
{"title":"COVİD-19 HASTALARININ RİSK SINIFLAMASINDA ENFLAMATUVAR İNDEKSLERİN PROGNOSTİK ROLÜ","authors":"Maide Alagöz, A. Göker, Evin Ademoğlu","doi":"10.26650/jarhs2022-1135192","DOIUrl":null,"url":null,"abstract":"Objective: The Covid-19 pandemic has revealed the importance of an evidence-based efficient triage system in the early identification of high risk patients and the rational use of limited medical resources for reducing mortality. The aim of this study was to evaluate the role of various inflammatory indices that can be easily calculated using readily accessible, inexpensive routine test parameters in risk stratification and prediction of prognosis in patients with Covid-19. Material and Methods: The study was carried out retrospectively with the data of 8036 patients with Covid-19, who were grouped according to their prognosis in outpatient and inpatient follow-ups, and inpatients as survivors and death. Using the complete blood count and C-reactive protein baseline results of the patients at admission, neutrophillymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocytelymphocyte ratio (MLR), MVP-platelet ratio (MPR), platelet mass index (PMI), systemic immune-inflammatory index (SII), systemic inflammatory response index (SIRI), and multi-inflammatory indices (MII) were calculated. Results: Our results demonstrate that almost all of the inflammatory indices were significantly different in severe patients and in patients with high mortality risk, but not all of them had a predictive value. It has been seen that the most effective factors in determining the disease severity at the onset of Covid-19 are SIRI and age, and SII, MII-1 and MII-3 may also contribute to this prediction. Our results have also revealed that NLR is the most effective independent factor to predict mortality both at disease onset and for inpatients. Conclusion: Inflammatory indices, especially SIRI, NLR, SII, MII-1 and MII-3 can substantially contribute to clinical decisions in the early identification of high-risk patients and predicting mortality beginning from the onset of Covid-19.","PeriodicalId":228307,"journal":{"name":"Sağlık Bilimlerinde İleri Araştırmalar Dergisi / Journal of Advanced Research in Health Sciences","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sağlık Bilimlerinde İleri Araştırmalar Dergisi / Journal of Advanced Research in Health Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26650/jarhs2022-1135192","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的:新型冠状病毒病疫情揭示了循证高效分诊系统对早期发现高危患者、合理利用有限医疗资源降低死亡率的重要性。本研究的目的是评估各种炎症指标在Covid-19患者风险分层和预测预后中的作用,这些指标可以通过容易获得、廉价的常规检测参数轻松计算出来。材料与方法:回顾性研究8036例新冠肺炎患者资料,根据门诊和住院随访预后、住院患者生存和死亡情况进行分组。根据患者入院时的全血细胞计数和c反应蛋白基线结果,计算中性淋巴细胞比(NLR)、血小板-淋巴细胞比(PLR)、单核淋巴细胞比(MLR)、mvp -血小板比(MPR)、血小板质量指数(PMI)、全身免疫-炎症指数(SII)、全身炎症反应指数(SIRI)和多重炎症指数(MII)。结果:我们的研究结果表明,在重症患者和高死亡率患者中,几乎所有的炎症指标都有显著差异,但并非所有的炎症指标都具有预测价值。研究发现,在确定Covid-19发病时疾病严重程度的最有效因素是SIRI和年龄,SII、MII-1和MII-3也可能有助于这一预测。我们的研究结果还显示,NLR是预测疾病发病和住院患者死亡率的最有效的独立因素。结论:炎症指标,尤其是SIRI、NLR、SII、MII-1和MII-3,从新冠肺炎发病开始,对高危患者的早期识别和死亡率预测具有重要的临床决策价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
COVİD-19 HASTALARININ RİSK SINIFLAMASINDA ENFLAMATUVAR İNDEKSLERİN PROGNOSTİK ROLÜ
Objective: The Covid-19 pandemic has revealed the importance of an evidence-based efficient triage system in the early identification of high risk patients and the rational use of limited medical resources for reducing mortality. The aim of this study was to evaluate the role of various inflammatory indices that can be easily calculated using readily accessible, inexpensive routine test parameters in risk stratification and prediction of prognosis in patients with Covid-19. Material and Methods: The study was carried out retrospectively with the data of 8036 patients with Covid-19, who were grouped according to their prognosis in outpatient and inpatient follow-ups, and inpatients as survivors and death. Using the complete blood count and C-reactive protein baseline results of the patients at admission, neutrophillymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocytelymphocyte ratio (MLR), MVP-platelet ratio (MPR), platelet mass index (PMI), systemic immune-inflammatory index (SII), systemic inflammatory response index (SIRI), and multi-inflammatory indices (MII) were calculated. Results: Our results demonstrate that almost all of the inflammatory indices were significantly different in severe patients and in patients with high mortality risk, but not all of them had a predictive value. It has been seen that the most effective factors in determining the disease severity at the onset of Covid-19 are SIRI and age, and SII, MII-1 and MII-3 may also contribute to this prediction. Our results have also revealed that NLR is the most effective independent factor to predict mortality both at disease onset and for inpatients. Conclusion: Inflammatory indices, especially SIRI, NLR, SII, MII-1 and MII-3 can substantially contribute to clinical decisions in the early identification of high-risk patients and predicting mortality beginning from the onset of Covid-19.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信