Uramoto Hidetaka, Iwashige Atsushi, Kagami Seiji, Tsukada Junichi
Cancer Chemotherapy Center, University of Occupational and Environmental Health, Yahatanishi-ku, Kitakyushu 807-8555, Japan.
Anticancer Res. 2007 Mar-Apr;27(2):1133-6.
The purpose of this study was to establish criteria to predict the need for emergency hospitalization of patients receiving chemotherapy, based on information at presentation. 158 consecutive patients treated for cancer at the Cancer Chemotherapy Center in the University of Occupational and Environmental Health were examined. The number of emergency hospitalization cases for outpatients undergoing cancer chemotherapy was 14 (8.9%) and including seven lung carcinomas, six hematological carcinomas, and one mediastinal tumor. The reason for emergency hospitalization in twelve (85.7%) of the cases was infection. No significant difference was observed between the cases with and without emergency hospitalization regarding age, gender, cancer type, previous treatment, objective of the chemotherapy, or line of chemotherapy. A significantly higher number of the emergency cases were associated with performance status 2, severe adverse events and comorbidity than with a performance status 0-1 where there were no or only mild adverse events and no comorbidity. Multiple logistic regression models indicated that severe adverse events and comorbidities were independent predictive factors for patients with emergency hospitalization. By combining selected clinical information for outpatients receiving cancer chemotherapy, the need for emergency hospitalization could be predicted.
本研究的目的是根据就诊时的信息建立预测接受化疗患者急诊住院需求的标准。对在职业与环境卫生大学癌症化疗中心接受癌症治疗的158例连续患者进行了检查。接受癌症化疗的门诊患者急诊住院病例数为14例(8.9%),包括7例肺癌、6例血液系统癌症和1例纵隔肿瘤。12例(85.7%)急诊住院病例的原因是感染。在年龄、性别、癌症类型、既往治疗、化疗目的或化疗方案方面,急诊住院患者与非急诊住院患者之间未观察到显著差异。与表现状态为0-1(无或仅有轻度不良事件且无合并症)的患者相比,表现状态为2、严重不良事件和合并症的急诊病例数量显著更多。多因素logistic回归模型表明,严重不良事件和合并症是急诊住院患者的独立预测因素。通过综合接受癌症化疗门诊患者的选定临床信息,可以预测急诊住院需求。