在低资源环境中探索COVID-19患者的预后标志物:一项横断面研究

IF 2.2 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Md. Asaduzzaman, Mohammad Romel Bhuia, Mohammad Zabed Jillul Bari, Z. H. M. Nazmul Alam, Ranjon Kumer Roy, Soumitra Roy, Goutam Talukder, M. M. Jahangir Alam, Md. Shafiqul Bari
{"title":"在低资源环境中探索COVID-19患者的预后标志物:一项横断面研究","authors":"Md. Asaduzzaman,&nbsp;Mohammad Romel Bhuia,&nbsp;Mohammad Zabed Jillul Bari,&nbsp;Z. H. M. Nazmul Alam,&nbsp;Ranjon Kumer Roy,&nbsp;Soumitra Roy,&nbsp;Goutam Talukder,&nbsp;M. M. Jahangir Alam,&nbsp;Md. Shafiqul Bari","doi":"10.1155/ijcp/5595869","DOIUrl":null,"url":null,"abstract":"<div>\n <p><b>Aim:</b> Triaging patients based on prognostic biomarkers may contribute to better management of at-risk patients in resource-constrained settings. This study aimed to explore readily available and cost-effective predictors of mortality among COVID-19 patients.</p>\n <p><b>Methods:</b> This cross-sectional study, conducted across multiple centers, involved patients with COVID-19 admitted to four hospitals in Bangladesh. The analysis encompassed demographic information, clinical features, laboratory findings, and in-hospital outcomes. Logistic regression was utilized to identify factors contributing to mortality risk.</p>\n <p><b>Results:</b> Among 442 patients, 55 (12.44%) experienced mortality. The patients’ mean was 60 ± 14 years. DM (76% vs. 62%), IHD (42% vs. 19%), CKD (35% vs. 15%), and COPD (24% vs. 11%) were the most prevalent comorbidities in nonsurvivors. Compared to the survivor group, median NLR (7 vs. 4.1; <i>p</i> = 0.005), ferritin (507 vs. 328; <i>p</i> = 0.21), and D-dimer (900 vs. 567; <i>p</i> = 0.12) were higher in the nonsurvivor group. Higher age (OR = 1.05; 95% CI = 1.02–1.08), coexisting CKD (OR = 2.59; 95% CI = 1.27–5.29), leukocytosis (OR = 2.52; 95% CI = 1.21–5.28), thrombocytopenia (OR = 0.27; 95% CI = 0.12–0.61), lower SpO2 upon admission (OR = 0.92; 95% CI = 0.89–0.95), and more extensive lung involvement on CT (OR = 1.01; 95% CI = 1.001–1.03) were significant risk factors of in-hospital death.</p>\n </div>","PeriodicalId":13782,"journal":{"name":"International Journal of Clinical Practice","volume":"2025 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/ijcp/5595869","citationCount":"0","resultStr":"{\"title\":\"Exploring Prognostic Markers for Patients With COVID-19 in a Low-Resource Setting: A Cross-Sectional Study\",\"authors\":\"Md. Asaduzzaman,&nbsp;Mohammad Romel Bhuia,&nbsp;Mohammad Zabed Jillul Bari,&nbsp;Z. H. M. Nazmul Alam,&nbsp;Ranjon Kumer Roy,&nbsp;Soumitra Roy,&nbsp;Goutam Talukder,&nbsp;M. M. Jahangir Alam,&nbsp;Md. Shafiqul Bari\",\"doi\":\"10.1155/ijcp/5595869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p><b>Aim:</b> Triaging patients based on prognostic biomarkers may contribute to better management of at-risk patients in resource-constrained settings. This study aimed to explore readily available and cost-effective predictors of mortality among COVID-19 patients.</p>\\n <p><b>Methods:</b> This cross-sectional study, conducted across multiple centers, involved patients with COVID-19 admitted to four hospitals in Bangladesh. The analysis encompassed demographic information, clinical features, laboratory findings, and in-hospital outcomes. Logistic regression was utilized to identify factors contributing to mortality risk.</p>\\n <p><b>Results:</b> Among 442 patients, 55 (12.44%) experienced mortality. The patients’ mean was 60 ± 14 years. DM (76% vs. 62%), IHD (42% vs. 19%), CKD (35% vs. 15%), and COPD (24% vs. 11%) were the most prevalent comorbidities in nonsurvivors. Compared to the survivor group, median NLR (7 vs. 4.1; <i>p</i> = 0.005), ferritin (507 vs. 328; <i>p</i> = 0.21), and D-dimer (900 vs. 567; <i>p</i> = 0.12) were higher in the nonsurvivor group. Higher age (OR = 1.05; 95% CI = 1.02–1.08), coexisting CKD (OR = 2.59; 95% CI = 1.27–5.29), leukocytosis (OR = 2.52; 95% CI = 1.21–5.28), thrombocytopenia (OR = 0.27; 95% CI = 0.12–0.61), lower SpO2 upon admission (OR = 0.92; 95% CI = 0.89–0.95), and more extensive lung involvement on CT (OR = 1.01; 95% CI = 1.001–1.03) were significant risk factors of in-hospital death.</p>\\n </div>\",\"PeriodicalId\":13782,\"journal\":{\"name\":\"International Journal of Clinical Practice\",\"volume\":\"2025 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/ijcp/5595869\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Clinical Practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/ijcp/5595869\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Clinical Practice","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/ijcp/5595869","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

摘要

目的:根据预后生物标志物对患者进行分诊可能有助于在资源受限的情况下更好地管理高危患者。本研究旨在探索COVID-19患者中现成且具有成本效益的死亡率预测指标。方法:这项跨多个中心进行的横断面研究涉及孟加拉国四家医院收治的COVID-19患者。分析包括人口统计信息、临床特征、实验室结果和住院结果。采用Logistic回归分析确定导致死亡风险的因素。结果:442例患者中,死亡55例(12.44%)。患者平均年龄为60±14岁。糖尿病(76%对62%)、IHD(42%对19%)、CKD(35%对15%)和COPD(24%对11%)是非幸存者中最常见的合并症。与幸存者组相比,中位NLR(7比4.1;P = 0.005),铁蛋白(507 vs. 328;p = 0.21), d -二聚体(900 vs. 567;P = 0.12)高于非幸存者组。年龄越大(OR = 1.05;95% CI = 1.02-1.08),并存CKD (OR = 2.59;95% CI = 1.27-5.29),白细胞增多症(OR = 2.52;95% CI = 1.21 - -5.28)、血小板减少(OR = 0.27;95% CI = 0.12-0.61),入院时SpO2较低(OR = 0.92;95% CI = 0.89-0.95), CT上更广泛的肺部受累(OR = 1.01;95% CI = 1.001 ~ 1.03)是院内死亡的重要危险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring Prognostic Markers for Patients With COVID-19 in a Low-Resource Setting: A Cross-Sectional Study

Exploring Prognostic Markers for Patients With COVID-19 in a Low-Resource Setting: A Cross-Sectional Study

Aim: Triaging patients based on prognostic biomarkers may contribute to better management of at-risk patients in resource-constrained settings. This study aimed to explore readily available and cost-effective predictors of mortality among COVID-19 patients.

Methods: This cross-sectional study, conducted across multiple centers, involved patients with COVID-19 admitted to four hospitals in Bangladesh. The analysis encompassed demographic information, clinical features, laboratory findings, and in-hospital outcomes. Logistic regression was utilized to identify factors contributing to mortality risk.

Results: Among 442 patients, 55 (12.44%) experienced mortality. The patients’ mean was 60 ± 14 years. DM (76% vs. 62%), IHD (42% vs. 19%), CKD (35% vs. 15%), and COPD (24% vs. 11%) were the most prevalent comorbidities in nonsurvivors. Compared to the survivor group, median NLR (7 vs. 4.1; p = 0.005), ferritin (507 vs. 328; p = 0.21), and D-dimer (900 vs. 567; p = 0.12) were higher in the nonsurvivor group. Higher age (OR = 1.05; 95% CI = 1.02–1.08), coexisting CKD (OR = 2.59; 95% CI = 1.27–5.29), leukocytosis (OR = 2.52; 95% CI = 1.21–5.28), thrombocytopenia (OR = 0.27; 95% CI = 0.12–0.61), lower SpO2 upon admission (OR = 0.92; 95% CI = 0.89–0.95), and more extensive lung involvement on CT (OR = 1.01; 95% CI = 1.001–1.03) were significant risk factors of in-hospital death.

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
CiteScore
5.30
自引率
0.00%
发文量
274
审稿时长
3-8 weeks
期刊介绍: IJCP is a general medical journal. IJCP gives special priority to work that has international appeal. IJCP publishes: Editorials. IJCP Editorials are commissioned. [Peer reviewed at the editor''s discretion] Perspectives. Most IJCP Perspectives are commissioned. Example. [Peer reviewed at the editor''s discretion] Study design and interpretation. Example. [Always peer reviewed] Original data from clinical investigations. In particular: Primary research papers from RCTs, observational studies, epidemiological studies; pre-specified sub-analyses; pooled analyses. [Always peer reviewed] Meta-analyses. [Always peer reviewed] Systematic reviews. From October 2009, special priority will be given to systematic reviews. [Always peer reviewed] Non-systematic/narrative reviews. From October 2009, reviews that are not systematic will be considered only if they include a discrete Methods section that must explicitly describe the authors'' approach. Special priority will, however, be given to systematic reviews. [Always peer reviewed] ''How to…'' papers. Example. [Always peer reviewed] Consensus statements. [Always peer reviewed] Short reports. [Always peer reviewed] Letters. [Peer reviewed at the editor''s discretion] International scope IJCP publishes work from investigators globally. Around 30% of IJCP articles list an author from the UK. Around 30% of IJCP articles list an author from the USA or Canada. Around 45% of IJCP articles list an author from a European country that is not the UK. Around 15% of articles published in IJCP list an author from a country in the Asia-Pacific region.
×
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:481959085
Book学术官方微信