• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

重症监护病房中高龄癌症患者的短期死亡率:一项基于重症监护医学信息集市IV数据库的回顾性队列研究。

Short-term mortality among very elderly cancer patients in the intensive care unit: A retrospective cohort study based on the Medical Information Mart for Intensive Care IV database.

作者信息

Liu Taotao, Ding Runyu

机构信息

Department of Surgical Intensive Care Unit, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine Chinese Academy of Medical Sciences Beijing China.

Department of Surgical Intensive Care Unit, Fuwai Hospital, National Center of Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.

出版信息

Aging Med (Milton). 2024 Oct 18;7(5):580-587. doi: 10.1002/agm2.12358. eCollection 2024 Oct.

DOI:10.1002/agm2.12358
PMID:39507229
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11535163/
Abstract

OBJECTIVE

The objective of this study is to examine the epidemiological characteristics of very elderly patients (aged over 80 years) with cancer admitted to the intensive care unit (ICU), and to elucidate the association between Acute Physiology Score III (APS-III) and 28-day mortality.

METHOD

A retrospective analysis was conducted using data extracted from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Patients aged 80 years and above were assigned to three groups: non-cancer group, non-metastatic cancer group, and metastatic cancer group, based on their cancer diagnosis and its extent, Kaplan-Meier curves were constructed among these patient groups. Furthermore, patients were divided into a survival group and a non-survival group based on their 28-day survival status after ICU admission. Univariate and multivariate logistic regression analyses were performed to detect the risk factors for 28-day mortality among these patients. Additionally, this investigation sought to establish a dose-response relationship by exploring the graded association between APS-III scores and the 28-day mortalities among patients diagnosed with cancer.

RESULTS

A total of 42,037 medical records were screened, from which 11,461 elderly patients aged over 80 years were included, comprising 1020 (8.90%) with non-metastatic cancer, 537 (4.68%) with metastatic cancer, and 9904 (86.41%) without cancer. Significant differences in 28-day mortality were observed between both the non-metastatic and metastatic cancer groups compared to the non-cancer group (20.98% and 22.35% vs. 15.75%,  < 0.001). However, no statistically significant difference was detected in the 28-day mortality rate when comparing the non-metastatic cancer group directly with the metastatic cancer group (20.98% vs. 22.35%,  = 0.576). Univariate analysis revealed significant differences ( < 0.001) in age, gender, BMI, aCCI excluding cancer point, ventilation, presence of cancer, and status of metastatic cancer between the survival and non-survival groups. In the multivariate logistic regression, the odds ratio (OR) for ventilation was found to be 2.154 (95% CI: 1.799-2.578), cancer conferred an OR of 1.499 (95% CI: 1.137-1.975), metastatic cancer showed an OR of 1.171 (95% CI: 0.745-1.841), APS-III showed an OR of 1.038 (95% CI: 1.034-1.042). A dose-response relationship was observed, demonstrating that when the APS-III score exceeded 80 points, the 28-day mortality rate surpassed 50% among the very elderly cancer patients in ICU.

CONCLUSIONS

More than one-tenth of critically ill very elderly patients admitted to the ICU are diagnosed with cancer. Among ICU patients, those with cancer face a short-term mortality risk approximately 1.5 times higher than those without a cancer diagnosis. Interestingly, while our findings do not indicate an escalated mortality risk due to metastasis within the cancer patient cohort, the presence of cancer itself remains a significant factor influencing ICU mortality rates in this very elderly population.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/11535163/408def23e9ba/AGM2-7-580-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/11535163/ea49455939e7/AGM2-7-580-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/11535163/408def23e9ba/AGM2-7-580-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/11535163/ea49455939e7/AGM2-7-580-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59c9/11535163/408def23e9ba/AGM2-7-580-g001.jpg
摘要

目的

本研究旨在调查入住重症监护病房(ICU)的80岁以上高龄癌症患者的流行病学特征,并阐明急性生理学评分III(APS-III)与28天死亡率之间的关联。

方法

使用从重症监护医学信息集市IV(MIMIC-IV)数据库中提取的数据进行回顾性分析。根据癌症诊断及其范围,将80岁及以上的患者分为三组:非癌症组、非转移性癌症组和转移性癌症组,并在这些患者组之间构建Kaplan-Meier曲线。此外,根据患者入住ICU后28天的生存状况,将其分为生存组和非生存组。进行单因素和多因素逻辑回归分析,以检测这些患者28天死亡率的危险因素。此外,本研究试图通过探索APS-III评分与癌症诊断患者28天死亡率之间的分级关联来建立剂量反应关系。

结果

共筛选了42037份病历,纳入11461名80岁以上的老年患者,其中1020名(8.90%)为非转移性癌症患者,537名(4.68%)为转移性癌症患者,9904名(86.41%)无癌症。与非癌症组相比,非转移性和转移性癌症组的28天死亡率均存在显著差异(分别为20.98%和22.35%对15.75%,P<0.001)。然而,直接比较非转移性癌症组和转移性癌症组的28天死亡率时,未发现统计学上的显著差异(20.98%对22.35%,P=0.576)。单因素分析显示,生存组和非生存组在年龄、性别、体重指数、不包括癌症点数的累积疾病评分指数、通气、癌症存在情况和转移性癌症状态方面存在显著差异(P<0.001)。在多因素逻辑回归中,通气的比值比(OR)为2.154(95%置信区间:1.799-2.578),癌症的OR为1.499(95%置信区间:1.137-1.975),转移性癌症的OR为1.171(95%置信区间:0.745-1.841),APS-III的OR为1.038(95%置信区间:1.034-1.042)。观察到剂量反应关系,表明当APS-III评分超过80分时,ICU中高龄癌症患者的28天死亡率超过50%。

结论

入住ICU的重症高龄患者中,超过十分之一被诊断患有癌症。在ICU患者中,癌症患者面临的短期死亡风险比未诊断出癌症的患者高出约1.5倍。有趣的是,虽然我们的研究结果并未表明癌症患者队列中转移会增加死亡风险,但癌症本身的存在仍然是影响这一高龄人群ICU死亡率的重要因素。

相似文献

1
Short-term mortality among very elderly cancer patients in the intensive care unit: A retrospective cohort study based on the Medical Information Mart for Intensive Care IV database.重症监护病房中高龄癌症患者的短期死亡率:一项基于重症监护医学信息集市IV数据库的回顾性队列研究。
Aging Med (Milton). 2024 Oct 18;7(5):580-587. doi: 10.1002/agm2.12358. eCollection 2024 Oct.
2
[Predictive value of six critical illness scores for 28-day death risk in comprehensive and specialized intensive care unit patients based on MIMIC-IV database].基于MIMIC-IV数据库的综合及专科重症监护病房患者28天死亡风险的六种危重病评分的预测价值
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2022 Jul;34(7):752-758. doi: 10.3760/cma.j.cn121430-20220304-00205.
3
[A nonlinear relationship between the hemoglobin level and prognosis of elderly patients with sepsis: an analysis based on MIMIC-IV].[老年脓毒症患者血红蛋白水平与预后的非线性关系:基于MIMIC-IV的分析]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Jun;35(6):573-577. doi: 10.3760/cma.j.cn121430-20221009-00900.
4
Association between a four-parameter inflammatory index and all-cause mortality in critical ill patients with non-traumatic subarachnoid hemorrhage: a retrospective analysis of the MIMIC-IV database (2012-2019).四项炎症指标与非创伤性蛛网膜下腔出血危重症患者全因死亡率的关系:对 MIMIC-IV 数据库(2012-2019 年)的回顾性分析。
Front Immunol. 2023 Oct 23;14:1235266. doi: 10.3389/fimmu.2023.1235266. eCollection 2023.
5
Long-term survival in stroke patients: insights into triglyceride-glucose body mass index from ICU data.中风患者的长期生存:从 ICU 数据看甘油三酯-葡萄糖体重指数。
Cardiovasc Diabetol. 2024 Apr 25;23(1):137. doi: 10.1186/s12933-024-02231-0.
6
Short- and medium-term survival of critically ill patients with solid cancer admitted to the intensive care unit.危重症实体瘤患者入住重症加强护理病房的短期和中期生存情况。
Ann Palliat Med. 2022 May;11(5):1649-1659. doi: 10.21037/apm-21-2352. Epub 2021 Dec 27.
7
[Monocyte/lymphocyte ratio as a predictor of 30-day mortality and adverse events in critically ill patients: analysis of the MIMIC-III database].[单核细胞/淋巴细胞比值作为危重症患者30天死亡率和不良事件的预测指标:MIMIC-III数据库分析]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 May;33(5):582-586. doi: 10.3760/cma.j.cn121430-20201223-00772.
8
Development of a Nomogram to Predict 28-Day Mortality of Patients With Sepsis-Induced Coagulopathy: An Analysis of the MIMIC-III Database.预测脓毒症诱导的凝血病患者28天死亡率的列线图的开发:MIMIC-III数据库分析
Front Med (Lausanne). 2021 Apr 6;8:661710. doi: 10.3389/fmed.2021.661710. eCollection 2021.
9
[Risk factors for death in elderly patients admitted to intensive care unit after elective abdominal surgery: a consecutive 5-year retrospective study].择期腹部手术后入住重症监护病房老年患者的死亡危险因素:一项连续5年的回顾性研究
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Dec;33(12):1453-1458. doi: 10.3760/cma.j.cn121430-20210804-00118.
10
[Relationship between "1-hour serum lactate" level and 30-day mortality in critical care patients in intensive care unit].[重症监护病房危重症患者“1小时血清乳酸”水平与30天死亡率的关系]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020 Jun;32(6):737-742. doi: 10.3760/cma.j.cn121430-20200116-00136.

本文引用的文献

1
Prognostic factors in oncological patients with solid tumours requiring intensive care unit admission.需要入住重症监护病房的实体瘤肿瘤患者的预后因素。
Oncol Lett. 2023 Oct 23;26(6):525. doi: 10.3892/ol.2023.14112. eCollection 2023 Dec.
2
Changing patterns of cancer burden among elderly across Indian states: Evidence from the global burden of disease study 1990-2019.印度各邦老年人癌症负担模式的变化:来自1990 - 2019年全球疾病负担研究的证据
Aging Med (Milton). 2023 Aug 21;6(3):254-263. doi: 10.1002/agm2.12264. eCollection 2023 Sep.
3
Chinese expert consensus on prevention and intervention for the elderly with malnutrition (2022).
《中国老年人营养不良防治专家共识(2022年版)》
Aging Med (Milton). 2022 Oct 3;5(3):191-203. doi: 10.1002/agm2.12226. eCollection 2022 Sep.
4
Outcomes and Predictors of 28-Day Mortality in Patients With Solid Tumors and Septic Shock Defined by Third International Consensus Definitions for Sepsis and Septic Shock Criteria.第三版国际脓毒症和脓毒性休克定义共识标准定义的实体瘤伴脓毒性休克患者的 28 天死亡率及预测因素。
Chest. 2022 Nov;162(5):1063-1073. doi: 10.1016/j.chest.2022.05.017. Epub 2022 May 26.
5
Short- and medium-term survival of critically ill patients with solid cancer admitted to the intensive care unit.危重症实体瘤患者入住重症加强护理病房的短期和中期生存情况。
Ann Palliat Med. 2022 May;11(5):1649-1659. doi: 10.21037/apm-21-2352. Epub 2021 Dec 27.
6
Critical illness in patients with hematologic malignancy: a population-based cohort study.血液恶性肿瘤患者的危重病:基于人群的队列研究。
Intensive Care Med. 2021 Oct;47(10):1104-1114. doi: 10.1007/s00134-021-06502-2. Epub 2021 Sep 14.
7
Mortality, survival and prognostic factors of people with AIDS in intensive care unit.艾滋病患者在重症监护病房的死亡率、生存率和预后因素。
Rev Esc Enferm USP. 2021 Sep 13;55:e20210121. doi: 10.1590/1980-220X-REEUSP-2021-0121. eCollection 2021.
8
Significance of body temperature in elderly patients with sepsis.老年人脓毒症患者体温的意义。
Crit Care. 2020 Jun 30;24(1):387. doi: 10.1186/s13054-020-02976-6.
9
Long-term mortality in very old patients with cancer admitted to intensive care unit: A retrospective cohort study.老年癌症患者入住重症监护病房的长期死亡率:一项回顾性队列研究。
J Geriatr Oncol. 2021 Jan;12(1):106-111. doi: 10.1016/j.jgo.2020.06.005. Epub 2020 Jun 19.
10
Current Cancer Epidemiology.当代癌症流行病学。
J Epidemiol Glob Health. 2019 Dec;9(4):217-222. doi: 10.2991/jegh.k.191008.001.