Literature DB >> 27966026

Retrospective study of unplanned hospital admission for metastatic cancer patients visiting the emergency department.

Tae Tanaka1,2, Masataka Taguri3, Soichi Fumita1, Kunio Okamoto1, Yoshio Matsuo4, Hidetoshi Hayashi5,6.   

Abstract

PURPOSE: The purpose of the study was to identify factors that predict unplanned admission for metastatic cancer patients visiting the emergency department (ED).
METHODS: Patients visiting the ED of a general hospital from April 2012 to March 2013 were investigated retrospectively. Data including demographics, vital signs, and laboratory measurements were collected from a chart review for each patient. Factors related to emergency admission were identified by univariate and multivariate analyses.
RESULTS: A total of 15,716 individuals visiting the ED during the study period included 1244 (7.9%) patients with cancer. Among the 491 cancer patients with metastasis, univariate analysis revealed that emergency admission was significantly associated with an age of ≥76 years; an altered mental status; fever (≥38 °C); a blood oxygen saturation of <90%; a white blood cell (WBC) count of ≤2000 or ≥10,000/μL; hypoalbuminemia (≤2.5 g/dL); and elevated levels of aspartate aminotransferase (≥100 IU/L), blood urea nitrogen (≥25 mg/dL), and C-reactive protein (CRP, ≥10 mg/dL). Multivariate analysis identified age, an altered mental status, hypoxemia, an abnormal WBC count, and elevated CRP as putative independent predictive factors for emergency admission. The number of these five factors present was also correlated with 30-day mortality (c-statistic = 0.72).
CONCLUSIONS: Age, unconsciousness, hypoxemia, an abnormal WBC count, and elevated CRP were found to be associated with emergency admission and 30-day mortality for metastatic cancer patients. Prospective validation of a predictive scoring system based on these findings is warranted.

Entities:  

Keywords:  30-day mortality; Emergency department; Metastatic cancer; Predictive score; Unplanned admission

Mesh:

Substances:

Year:  2016        PMID: 27966026     DOI: 10.1007/s00520-016-3535-1

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


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