Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Canada.
Boston University School of Medicine, Harvard T.H. Chan School of Public Health, Boston, USA.
Sci Rep. 2020 Dec 3;10(1):21145. doi: 10.1038/s41598-020-78114-7.
Limited data exist on predictors of intensive care unit (ICU) admission in patients with hematologic malignancy. The objective of this study was to identify predictors of ICU admission in hospitalized patients with hematologic malignancies. A retrospective cohort study was conducted on 820 consecutive admissions of patients with a malignant hematology diagnosis at our institution between March 2009 and December 2015. Backward stepwise selection procedure was conducted for multivariable logistic regression analyses. 820 patients were included, of whom 179 (22%) were admitted to the ICU. Types of hematologic cancers included 71% (N = 578) lymphoid cancer, 18% (N = 151) myeloid cancer, and 10% (N = 80) plasma cell neoplasms. 14% (N = 111) of patients had acute leukemia. Six predictors of admission to ICU were found in multivariable analysis, including disease-related (acute leukemia, curative intent chemotherapy), laboratory-related (platelet count < 50 × 109/L, albumin below normal, LDH above normal at time of admission), and physician-related factors (having advanced directives discussion) (p < 0.0001). A significant proportion of patients with hematologic malignancies admitted to hospital are admitted to ICU. Utilizing the identified predictors of ICU admission may help guide timely informed goals of care discussions with patients before clinical deterioration occurs.
关于血液恶性肿瘤患者入住重症监护病房(ICU)的预测因素的数据有限。本研究的目的是确定血液恶性肿瘤住院患者入住 ICU 的预测因素。我们对 2009 年 3 月至 2015 年 12 月期间我院收治的 820 例恶性血液病诊断患者进行了回顾性队列研究。采用向后逐步选择法进行多变量逻辑回归分析。共纳入 820 例患者,其中 179 例(22%)入住 ICU。血液恶性肿瘤类型包括 71%(N=578)淋巴细胞癌、18%(N=151)髓系癌和 10%(N=80)浆细胞瘤。14%(N=111)的患者患有急性白血病。多变量分析发现 6 个 ICU 入住预测因素,包括疾病相关因素(急性白血病、根治性化疗)、实验室相关因素(血小板计数<50×109/L、白蛋白低于正常、入院时乳酸脱氢酶升高)和医生相关因素(进行了高级指令讨论)(p<0.0001)。相当一部分患有血液恶性肿瘤的住院患者被收治到 ICU。利用 ICU 入住的预测因素可以帮助指导在临床恶化发生之前及时与患者进行知情的治疗目标讨论。