U-shaped correlation of lymphocyte count with all-cause hospital mortality in sepsis and septic shock patients: a MIMIC-IV and eICU-CRD database study.

IF 2 Q2 EMERGENCY MEDICINE
Guyu Zhang, Tao Wang, Le An, ChenChen Hang, XingSheng Wang, Fei Shao, Rui Shao, Ziren Tang
{"title":"U-shaped correlation of lymphocyte count with all-cause hospital mortality in sepsis and septic shock patients: a MIMIC-IV and eICU-CRD database study.","authors":"Guyu Zhang, Tao Wang, Le An, ChenChen Hang, XingSheng Wang, Fei Shao, Rui Shao, Ziren Tang","doi":"10.1186/s12245-024-00682-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In sepsis, the relationship between lymphocyte counts and patient outcomes is complex. Lymphocytopenia and lymphocytosis significantly influence survival, illustrating the dual functionality of lymphocytes in responding to infections. This study investigates this complex interaction, focusing on how variations in lymphocyte counts correlate with all-cause hospital mortality among sepsis patients.</p><p><strong>Methods: </strong>This retrospective cohort study analyzed data from two extensive critical care databases: the Medical Information Mart for Intensive Care IV 2.0 (MIMIC-IV 2.0) from Beth Israel Deaconess Medical Center, Boston, Massachusetts, and the eICU Collaborative Research Database (eICU-CRD), which was Multi-center database from over 200 hospitals across the United States conducted by Philips eICU Research Institute. We included adult patients aged 18 years and older who met the Sepsis-3 criteria, characterized by documented or suspected infection and a Sequential Organ Failure Assessment (SOFA) score of 2 or higher. Sepsis patients were categorized into quartiles based on lymphocyte counts. The primary outcome was all-cause mortality in the hospital, with 90 and 60-day all-cause mortality as the secondary outcomes. Univariable and multivariable Cox proportional hazard regressions were utilized to assess lymphocyte counts' impact on hospital mortality. An adjusted restricted cubic spline (RCS) analysis was performed to elucidate this relationship further. Subgroup analyses were also conducted to explore the association across various comorbidity groups among sepsis and septic shock patients.</p><p><strong>Results: </strong>Our study included 37,054 patients, with an observed in-hospital mortality rate of 16.6%. Univariable and multivariable Cox proportional hazard regression models showed that lymphocyte counts were independently associated with in-hospital mortality (HR = 1.04, P < 0.01; HR = 1.06, P < 0.01). RCS regression analysis revealed a U-shaped relationship between lymphocyte levels and hospital mortality risk in sepsis and septic shock patients (P for overall < 0.001, P for nonliner < 0.01; P for overall = 0.002, P for nonliner = 0.014). Subgroup analyses revealed that elevated lymphocyte counts correlated with increased hospital mortality among sepsis patients with liver disease and requiring renal replacement therapy (P for overall = 0.021, P for nonliner = 0.158; P for overall = 0.025, P for nonliner = 0.759). These findings suggest that lymphocytes may have enhanced prognostic value in specific subsets of critically ill sepsis patients.</p><p><strong>Conclusion: </strong>Our findings demonstrate that lymphocyte counts are a significant independent predictor of hospital mortality in sepsis and septic shock patients. We observed a U-shaped association between lymphocyte levels and mortality risk, indicating that high and low counts are linked to increased mortality. This result highlights the complex role of lymphocytes in sepsis outcomes and suggests the need for further investigation into the underlying mechanisms and potential therapeutic approaches. Integrating lymphocyte count assessment into risk stratification algorithms and clinical decision support tools could enhance the early identification of high-risk sepsis patients.</p>","PeriodicalId":13967,"journal":{"name":"International Journal of Emergency Medicine","volume":"17 1","pages":"101"},"PeriodicalIF":2.0000,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11346189/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Emergency Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s12245-024-00682-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EMERGENCY MEDICINE","Score":null,"Total":0}
引用次数: 0

Abstract

Background: In sepsis, the relationship between lymphocyte counts and patient outcomes is complex. Lymphocytopenia and lymphocytosis significantly influence survival, illustrating the dual functionality of lymphocytes in responding to infections. This study investigates this complex interaction, focusing on how variations in lymphocyte counts correlate with all-cause hospital mortality among sepsis patients.

Methods: This retrospective cohort study analyzed data from two extensive critical care databases: the Medical Information Mart for Intensive Care IV 2.0 (MIMIC-IV 2.0) from Beth Israel Deaconess Medical Center, Boston, Massachusetts, and the eICU Collaborative Research Database (eICU-CRD), which was Multi-center database from over 200 hospitals across the United States conducted by Philips eICU Research Institute. We included adult patients aged 18 years and older who met the Sepsis-3 criteria, characterized by documented or suspected infection and a Sequential Organ Failure Assessment (SOFA) score of 2 or higher. Sepsis patients were categorized into quartiles based on lymphocyte counts. The primary outcome was all-cause mortality in the hospital, with 90 and 60-day all-cause mortality as the secondary outcomes. Univariable and multivariable Cox proportional hazard regressions were utilized to assess lymphocyte counts' impact on hospital mortality. An adjusted restricted cubic spline (RCS) analysis was performed to elucidate this relationship further. Subgroup analyses were also conducted to explore the association across various comorbidity groups among sepsis and septic shock patients.

Results: Our study included 37,054 patients, with an observed in-hospital mortality rate of 16.6%. Univariable and multivariable Cox proportional hazard regression models showed that lymphocyte counts were independently associated with in-hospital mortality (HR = 1.04, P < 0.01; HR = 1.06, P < 0.01). RCS regression analysis revealed a U-shaped relationship between lymphocyte levels and hospital mortality risk in sepsis and septic shock patients (P for overall < 0.001, P for nonliner < 0.01; P for overall = 0.002, P for nonliner = 0.014). Subgroup analyses revealed that elevated lymphocyte counts correlated with increased hospital mortality among sepsis patients with liver disease and requiring renal replacement therapy (P for overall = 0.021, P for nonliner = 0.158; P for overall = 0.025, P for nonliner = 0.759). These findings suggest that lymphocytes may have enhanced prognostic value in specific subsets of critically ill sepsis patients.

Conclusion: Our findings demonstrate that lymphocyte counts are a significant independent predictor of hospital mortality in sepsis and septic shock patients. We observed a U-shaped association between lymphocyte levels and mortality risk, indicating that high and low counts are linked to increased mortality. This result highlights the complex role of lymphocytes in sepsis outcomes and suggests the need for further investigation into the underlying mechanisms and potential therapeutic approaches. Integrating lymphocyte count assessment into risk stratification algorithms and clinical decision support tools could enhance the early identification of high-risk sepsis patients.

脓毒症和脓毒性休克患者淋巴细胞计数与全因住院死亡率的 U 型相关性:MIMIC-IV 和 eICU-CRD 数据库研究。
背景:在败血症中,淋巴细胞计数与患者预后之间的关系非常复杂。淋巴细胞减少症和淋巴细胞增多症严重影响患者的生存,说明淋巴细胞在应对感染时具有双重功能。本研究调查了这种复杂的相互作用,重点研究了淋巴细胞计数的变化与败血症患者全因住院死亡率之间的关系:这项回顾性队列研究分析了两个广泛的重症监护数据库中的数据:马萨诸塞州波士顿贝斯以色列女执事医疗中心的重症监护医学信息市场 IV 2.0(MIMIC-IV 2.0)和飞利浦 eICU 研究所的 eICU 合作研究数据库(eICU-CRD),后者是来自美国 200 多家医院的多中心数据库。我们纳入了年龄在 18 岁及以上、符合败血症-3 标准的成年患者,这些患者的特征是有记录或疑似感染,且连续器官衰竭评估 (SOFA) 得分在 2 分或以上。根据淋巴细胞计数将败血症患者分为四等分。主要结果为住院期间全因死亡率,次要结果为 90 天和 60 天全因死亡率。采用单变量和多变量 Cox 比例危险回归评估淋巴细胞计数对住院死亡率的影响。为了进一步阐明这种关系,还进行了调整后的受限立方样条曲线(RCS)分析。我们还进行了分组分析,以探讨脓毒症和脓毒性休克患者不同合并症组之间的关系:我们的研究纳入了 37054 名患者,观察到的院内死亡率为 16.6%。单变量和多变量考克斯比例危险回归模型显示,淋巴细胞计数与院内死亡率有独立相关性(HR = 1.04,P 结论:我们的研究结果表明,淋巴细胞计数与脓毒症和脓毒性休克患者的不同合并症组别有独立相关性:我们的研究结果表明,淋巴细胞计数是脓毒症和脓毒性休克患者住院死亡率的重要独立预测指标。我们观察到淋巴细胞水平与死亡风险之间呈 U 型关系,这表明淋巴细胞计数高和计数低都与死亡率增加有关。这一结果凸显了淋巴细胞在脓毒症结局中的复杂作用,并表明有必要进一步研究其潜在机制和治疗方法。将淋巴细胞计数评估纳入风险分层算法和临床决策支持工具中,可加强对高危脓毒症患者的早期识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.60
自引率
0.00%
发文量
63
审稿时长
13 weeks
期刊介绍: The aim of the journal is to bring to light the various clinical advancements and research developments attained over the world and thus help the specialty forge ahead. It is directed towards physicians and medical personnel undergoing training or working within the field of Emergency Medicine. Medical students who are interested in pursuing a career in Emergency Medicine will also benefit from the journal. This is particularly useful for trainees in countries where the specialty is still in its infancy. Disciplines covered will include interesting clinical cases, the latest evidence-based practice and research developments in Emergency medicine including emergency pediatrics.
×
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