• J Coll Physicians Surg Pak · May 2023

    Observational Study

    A New Mortality Prediction Model in Advanced Stage Cancer Patients Requiring Hospitalisation while Receiving Active Systemic Therapy.

    • Kubilay Karaboyun, Yakup Iriagac, Eyyup Cavdar, Okan Avci, and Erdogan Selcuk Seber.
    • Department of Medical Oncology, Faculty of Medicine, Tekirdag Namik Kemal University, Tekirdag, Turkiye.
    • J Coll Physicians Surg Pak. 2023 May 1; 33 (5): 548553548-553.

    ObjectiveTo predict short and long-term mortality in patients who were admitted to the emergency department and then hospitalised unplanned in medical oncology-ward.Study Design An observational study. Place and Duration of the Study: Department of Medical Oncology, Tekirdag Namik Kemal University Hospital, Tekirdag, Turkiye, from May 2021 to May 2022.MethodologyConsecutive patients admitted to the emergency department with unplanned hospitalisation in the oncology ward, were included. Patients receiving treatment with the curative intent, patients hospitalised for febrile neutropenia, and terminally ill patients requiring intensive care unit follow-up at admission  were  excluded  from  the study.  Univariate  and  multivariate  logistic  regression  analyses were used to identify predictive factors for short and long-term mortality-dependent variables.ResultsThis study included 253 advanced cancer patients. The number of patients who died in the ward within 10 days (short-term mortality) was 28 (11.1%). Ninety patients (35.6%) died afterwards anytime in the ward during the study (long-term mortality). In the multivariate analysis established for short-term mortality, higher ALT (OR = 6.75, 95% CI: 2.09 - 21.85, p=0.001), rapid deterioration in performance status (OR = 5.49, 95% CI: 1.81-16.67, p=0.003), higher CRP (OR = 5.86, 95% CI: 1.20-28.53, p=0.029), higher procalcitonin (OR = 7.94, 95% CI: 0.99 - 63.82, p=0.051), and higher lactate (OR = 2.47, 95% CI: 0.94-6.51, p=0.067) showed significant predictive features.ConclusionThe decision of whether to continue treatment or not is challenging in cancer patients who require unplanned hospitalisation while receiving palliative systemic therapy. New mortality estimation models can be used in making the transition from life-long to palliative treatments.Key WordMortality prediction, Hospitalisation, Estimation of survival, Chemotherapy.

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