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重症监护对乳腺癌患者是否值得:肿瘤重症监护病房的经验

Are Intensive Cares Worthwhile for Breast Cancer Patients: The Experience of an Oncological ICU.

作者信息

Destrebecq Virginie, Lieveke Ameye, Berghmans Thierry, Paesmans Marianne, Sculier Jean-Paul, Meert Anne-Pascale

机构信息

Service des soins intensifs et urgences oncologiques & oncologie thoracique, Institut Jules Bordet, Université Libre de Bruxelles (ULB) , Brussels , Belgium.

Data Centre, Institut Jules Bordet, Université Libre de Bruxelles (ULB) , Brussels , Belgium.

出版信息

Front Med (Lausanne). 2016 Oct 31;3:50. doi: 10.3389/fmed.2016.00050. eCollection 2016.

Abstract

PURPOSE

One among seven women will present with breast cancer for which major therapeutic advances led to a significant increase in survival and cure rates. During or after cancer treatment, severe complications may occur requiring admission in intensive care unit (ICU). Intensivists could be reluctant for accepting cancer patients in the ICU, and there are very few data about causes of admission and prognosis of patients with breast cancer admitted in the ICU for an acute complication. Our study seeks to determine, in a population of patients with breast cancer, the main causes for ICU admission and the predictors of death during hospital stay and prognostic factors for survival after hospital discharge.

METHODS

This retrospective study includes all unplanned ICU admissions of patients with breast cancer in a cancer hospital from January 1, 2009 to December 31, 2014. To search for predictive factors of death during hospitalization, Mann-Whitney or Fisher Exact (or chi-square) tests were used for continuous variables or categorical variables, respectively. A logistic regression model was applied for multivariate analysis. Multivariate analysis of prognostic factors for survival after hospital discharge was performed with a Cox's proportional hazards model.

RESULTS

Of 1586 ICU admissions during the study period, 282 (18%) concerned breast cancer of which 175 met the inclusion criteria. The main causes of admission were of cardiovascular (26%), respiratory (19%), neurologic (19%), or infectious (14%) origin. ICU death rate was 15% and, overall, 28% of the patients died during hospitalization. The median survival time after hospitalization was 12.8 months (95% CI: 8.2-20.7). Independent predictors of death during hospitalization were the sequential organ failure assessment (SOFA) score (OR 1.36, 95% CI 1.15-1.60), high GPT values (OR 3.70, 95% CI: 1.52-9.03), and cardiovascular disease (OR 0.23, 95% CI: 0.06-0.86). Independent predictors of death after hospital discharge were metastatic disease (HR 7.90, 95% CI 3.69-16.92), high GOT value (HR 3.22 95% CI: 1.93-5.36), simplified acute physiology score (SAPS) (HR 1.95 95% CI: 1.21-3.16), and therapeutic limitations during the first 24 h after ICU admission (HR 8.52 95% CI: 3.66-19.87).

CONCLUSION

Independent predictors of death during hospitalization were related to the acute complications (SOFA score, GPT level and cardiovascular-related admission) while cancer parameters retained their prognostic significance for survival after hospital discharge (metastatic disease, therapeutic limitations).

摘要

目的

每七名女性中就有一人会患乳腺癌,针对乳腺癌的重大治疗进展使生存率和治愈率显著提高。在癌症治疗期间或之后,可能会出现严重并发症,需要入住重症监护病房(ICU)。重症监护医生可能不愿在ICU接收癌症患者,而且关于因急性并发症入住ICU的乳腺癌患者的入院原因和预后的数据非常少。我们的研究旨在确定乳腺癌患者群体中入住ICU的主要原因、住院期间死亡的预测因素以及出院后生存的预后因素。

方法

这项回顾性研究纳入了2009年1月1日至2014年12月31日期间一家癌症医院所有计划外入住ICU的乳腺癌患者。为了寻找住院期间死亡的预测因素,连续变量和分类变量分别使用曼-惠特尼检验或费舍尔精确检验(或卡方检验)。应用逻辑回归模型进行多变量分析。出院后生存预后因素的多变量分析采用Cox比例风险模型。

结果

在研究期间的1586次ICU入院中,282例(18%)与乳腺癌有关,其中175例符合纳入标准。入院的主要原因是心血管(26%)、呼吸(19%)、神经(19%)或感染(14%)源性。ICU死亡率为15%,总体而言,28%的患者在住院期间死亡。住院后的中位生存时间为12.8个月(95%CI:8.2 - 20.7)。住院期间死亡的独立预测因素是序贯器官衰竭评估(SOFA)评分(OR 1.36,95%CI 1.15 - 1.60)、高GPT值(OR 3.70,95%CI:1.52 - 9.03)和心血管疾病(OR 0.23,95%CI:0.06 - 0.86)。出院后死亡的独立预测因素是转移性疾病(HR 7.90,95%CI 3.69 - 16.92)、高GOT值(HR 3.22 95%CI:1.93 - 5.36)、简化急性生理学评分(SAPS)(HR 1.95 95%CI:1.21 - 3.16)以及ICU入院后最初24小时内的治疗限制(HR 8.52 95%CI:3.66 - 19.87)。

结论

住院期间死亡的独立预测因素与急性并发症(SOFA评分、GPT水平和心血管相关入院)有关,而癌症参数对出院后生存仍具有预后意义(转移性疾病、治疗限制)。

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