• 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

不明原因低血压重症患者的预后预测

Prediction of outcome for critically ill patients with unexplained hypotension.

作者信息

Heidenreich P A, Foster E, Cohen N H

机构信息

Department of Medicine, University of California, San Francisco 94143-0624, USA.

出版信息

Crit Care Med. 1996 Nov;24(11):1835-40. doi: 10.1097/00003246-199611000-00013.

DOI:10.1097/00003246-199611000-00013
PMID:8917034
Abstract

OBJECTIVES

To determine the clinical variables that affect the prognosis of critically ill patients with sustained unexplained hypotension. A further goal was to develop a prognostic scoring system based on clinical data available at the onset of hypotension.

DESIGN

Prospective cohort study.

SETTING

The intensive care units (ICUs) of an academic medical center.

PATIENTS

One hundred one adult ICU patients with sustained (> 60 mins) unexplained hypotension. Using the initial 50 patients (derivation set), a prognostic score was developed that was then tested in the next 51 patients (validation set).

INTERVENTIONS

None

MEASUREMENTS AND MAIN RESULTS

The main outcome variable was death or hospital discharge. The overall hospital mortality in the combined sets was 58%. Using a multivariable model we identified three independent (p < .05) predictors of hospital mortality, including the Acute Physiology and Chronic Health Evaluation (APACHE) II score at the time of hypotension, the time from hospital admission to hypotensive episode, and hospital admission for surgery or treatment of malignancy. These variables were weighted and combined to create a Hypotension Score which separated patients in the combined sets into three prognostic groups: a) Hypotension Score of < 40, mortality 7%, (n = 27); b) Hypotension Score of 40 to 64, mortality 70%, (n = 50); and c) Hypotension Score of > or = 65, mortality 92%, (n = 24). The area under the receiver operating characteristic curve was .85 for the derivation set and .83 for the validation set vs. .76 for the APACHE II score alone.

CONCLUSIONS

The prognosis of hypotension in the critical care setting is highly variable, but can be predicted from patient characteristics.

摘要

目的

确定影响持续不明原因低血压的危重症患者预后的临床变量。另一个目标是基于低血压发作时可用的临床数据开发一种预后评分系统。

设计

前瞻性队列研究。

地点

一所学术医疗中心的重症监护病房(ICU)。

患者

101例持续(>60分钟)不明原因低血压的成年ICU患者。使用最初的50例患者(推导集)开发了一种预后评分,然后在接下来的51例患者(验证集)中进行测试。

干预措施

无

测量指标及主要结果

主要结局变量为死亡或出院。合并组的总体医院死亡率为58%。使用多变量模型,我们确定了三个独立的(p<0.05)医院死亡率预测因素,包括低血压时的急性生理与慢性健康状况评估(APACHE)II评分、从入院到低血压发作的时间以及因手术或恶性肿瘤治疗而入院。对这些变量进行加权并合并,以创建低血压评分,该评分将合并组中的患者分为三个预后组:a)低血压评分<40,死亡率7%,(n = 27);b)低血压评分40至64,死亡率70%,(n = 50);c)低血压评分≥65,死亡率92%,(n = 24)。推导集的受试者工作特征曲线下面积为0.85,验证集为0.83,而单独的APACHE II评分为0.76。

结论

重症监护环境中低血压的预后差异很大,但可以根据患者特征进行预测。

相似文献

1
Prediction of outcome for critically ill patients with unexplained hypotension.不明原因低血压重症患者的预后预测
Crit Care Med. 1996 Nov;24(11):1835-40. doi: 10.1097/00003246-199611000-00013.
2
Verification of the Acute Physiology and Chronic Health Evaluation scoring system in a Hong Kong intensive care unit.香港一间重症监护病房中急性生理学与慢性健康状况评估评分系统的验证
Crit Care Med. 1993 May;21(5):698-705. doi: 10.1097/00003246-199305000-00013.
3
Evaluation of predictive ability of APACHE II system and hospital outcome in Canadian intensive care unit patients.评估APACHE II系统对加拿大重症监护病房患者的预测能力及医院治疗结果。
Crit Care Med. 1995 Jul;23(7):1177-83. doi: 10.1097/00003246-199507000-00005.
4
Acute physiology and chronic health evaluation (APACHE II) and Glasgow coma scores as predictors of outcome from intensive care after cardiac arrest.急性生理学与慢性健康状况评估(APACHE II)及格拉斯哥昏迷评分作为心脏骤停后重症监护结局的预测指标。
Crit Care Med. 1991 Dec;19(12):1465-73. doi: 10.1097/00003246-199112000-00005.
5
Quality of life before intensive care unit admission and its influence on resource utilization and mortality rate.重症监护病房入院前的生活质量及其对资源利用和死亡率的影响。
Crit Care Med. 2001 Sep;29(9):1701-9. doi: 10.1097/00003246-200109000-00008.
6
Risks for developing critical illness with GI hemorrhage.发生胃肠道出血导致危重症的风险。
Chest. 2000 Aug;118(2):473-8. doi: 10.1378/chest.118.2.473.
7
Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients.急性生理学与慢性健康状况评估(APACHE)IV:当今危重症患者的医院死亡率评估
Crit Care Med. 2006 May;34(5):1297-310. doi: 10.1097/01.CCM.0000215112.84523.F0.
8
Simplified prognostic model for critically ill patients in resource limited settings in South Asia.南亚资源有限环境下危重症患者简化预后模型。
Crit Care. 2017 Oct 17;21(1):250. doi: 10.1186/s13054-017-1843-6.
9
Do Serially Recorded Prognostic Scores Predict Outcome Better Than One-Time Recorded Score on Admission? A Prospective Study in Adult Intensive Care Patients.与入院时一次性记录的评分相比,连续记录的预后评分能更好地预测结局吗?一项针对成年重症监护患者的前瞻性研究。
J Intensive Care Med. 2017 Sep;32(8):480-486. doi: 10.1177/0885066615625937. Epub 2016 Jan 13.
10
Performance evaluation of APACHE II score for an Indian patient with respiratory problems.用于评估印度呼吸疾病患者的急性生理学及慢性健康状况评分系统(APACHE II)的性能评价
Indian J Med Res. 2004 Jun;119(6):273-82.

引用本文的文献

1
A dual boundary classifier for predicting acute hypotensive episodes in critical care.一种用于预测重症监护中急性低血压发作的双边界分类器。
PLoS One. 2018 Feb 23;13(2):e0193259. doi: 10.1371/journal.pone.0193259. eCollection 2018.