Martos-Benítez Frank Daniel, Soto-García Andrés, Gutiérrez-Noyola Anarelys
Intensive Care Unit 8B, Hermanos Ameijeiras Hospital, Fuentes Street at 367A, Guanabacoa, Havana, Cuba.
Oncological Intensive Care Unit, Institute of Oncology and Radiobiology, Havana, Cuba.
J Cancer Res Clin Oncol. 2018 Apr;144(4):717-723. doi: 10.1007/s00432-018-2581-0. Epub 2018 Jan 23.
The study was aimed to describe the characteristics of cancer patients admitted to the oncological ICU and to identify clinical features associated with outcomes.
This is a prospective study (January 2014 to December 2015) of 522 cancer patients consecutively admitted to the oncological ICU. Patients with a length of oncological ICU stay ≤ 1 day were excluded. Demographic and clinical variables were obtained at oncological ICU admission. The primary outcome of interest was hospital mortality. Logistic regression analysis was performed to identify independent risk factors for hospital mortality.
The study cohort consisted of 492 (94.3%) patients with solid tumours and 30 patients (5.7%) with haematological malignancies. Advanced cancer was observed in 53.3%. Unplanned admission accounted for 25.3%. Hospital mortality rate was 13.0% (n = 68), and it was higher for patients with unplanned admission than those for electively admitted patients (35.6% vs. 5.4; p < 0.0001). Stage IV of cancer (OR 5.28; 95% CI 2.71-10.28; p < 0.0001), patients from the emergency department (OR 3.33; 95% CI 1.68-6.61; p = 0.001), unplanned admission (OR 7.99; 95% CI 4.45-14.33; p < 0.0001), non-malignancy-related admission (OR 5.80; 95% CI 3.26-10.32; p < 0.0001), sepsis (OR 4.81; 95% CI 2.28-10.16; p < 0.0001), chemotherapy-induced adverse event (OR 5.64; 95% CI 2.33-13.66; p < 0.0001), and invasive mechanical ventilation (OR 18.70; 95% CI 9.93-35.21; p < 0.0001) were independently associated with increased hospital mortality in multivariate logistic regression analysis.
ICU admission of cancer patients should be based on potential chance of recovering from the acute problem. Clinical predictor for mortality could support this purpose (UIN: researchregistry3484).
本研究旨在描述入住肿瘤重症监护病房(ICU)的癌症患者的特征,并确定与预后相关的临床特征。
这是一项前瞻性研究(2014年1月至2015年12月),对连续入住肿瘤ICU的522例癌症患者进行研究。排除在肿瘤ICU住院时间≤1天的患者。在患者入住肿瘤ICU时获取人口统计学和临床变量。主要关注的结局是医院死亡率。进行逻辑回归分析以确定医院死亡率的独立危险因素。
研究队列包括492例(94.3%)实体瘤患者和30例(5.7%)血液系统恶性肿瘤患者。53.3%的患者为晚期癌症。非计划入院占25.3%。医院死亡率为13.0%(n = 68),非计划入院患者的死亡率高于择期入院患者(35.6%对5.4%;p < 0.0001)。癌症IV期(比值比[OR] 5.28;95%置信区间[CI] 2.71 - 10.28;p < 0.0001)、来自急诊科的患者(OR 3.33;95% CI 1.68 - 6.61;p = 0.001)、非计划入院(OR 7.99;95% CI 4.45 - 14.33;p < 0.0001)、非恶性肿瘤相关入院(OR 5.80;95% CI 3.26 - 10.32;p < 0.0001)、脓毒症(OR 4.81;95% CI 2.28 - 10.16;p < 0.0001)、化疗引起的不良事件(OR 5.64;95% CI 2.33 - 13.66;p < 0.0001)以及有创机械通气(OR 18.70;95% CI 9.93 - 35.21;p < 0.0001)在多因素逻辑回归分析中均与医院死亡率增加独立相关。
癌症患者入住ICU应基于从急性问题中恢复的潜在机会。死亡率的临床预测指标有助于实现这一目的(唯一识别码:researchregistry3484)。