Prediction of 90-day mortality risk after unplanned emergency department visits of advanced stage cancer patients.

Autor: Jeryczynski, Georg, Krall, Christoph, Pasalic, Sabina, Huber, Dominikus, Cacioppo, Filippo, Bartsch, Rupert, Fuereder, Thorsten, Laggner, Anton, Preusser, Matthias, Minichsdorfer, Christoph
Zdroj: Supportive Care in Cancer; Nov2024, Vol. 32 Issue 11, p1-7, 7p
Abstrakt: Purpose: Cancer represents the leading cause of mortality in high-income countries. In the last years, the rate of emergency department (ED) visits by cancer patients has increased 5.5-fold. These ED visits impose a significant economic burden and may indicate the progression of the oncologic disease. The goal of this retrospective study was to identify patient-derived risk factors, especially focusing on serum albumin and body mass index (BMI) for 90-day mortality following unplanned ED visits by cancer patients. Methods: A retrospective chart review of all patients with an ICD-10 diagnosis for cancer undergoing palliative treatment presenting at the ED between 2016 and 2018 at the General Hospital of Vienna was performed. Laboratory values, emergency severity index (ESI), and BMI were collected at the ED presentation. 90-day mortality (90MM) was calculated from the ED presentation. Results: A total of 448 cancer patients were included. Lung cancer (19.2%) and pancreaticobiliary cancer (15.6%) were the most frequent diagnoses. The main reasons for ED visits were pain (20.5%) and fever (17.4%). Sixty-nine percent of patients had to be admitted and 17.5% of patients died during hospitalization. 90MM was highest for patients with low albumin (< 35 g/L vs. > 35 g/L: 60.4% vs. 31.4%; p <.0001). When incorporating albumin levels and BMI, patients with both values below the cutoff had the highest risk for death (HR 4.01, 95% CI 2.30–7.02). Conclusion: Cancer patients face a high risk for hospitalization when presenting at the ED. The 90MM rate is highest in patients with low BMI and albumin levels. This highlights an especially vulnerable cohort of cancer patients for whom supportive care and palliative care have to be optimized. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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