Abstract 5763: Incidence and mortality predictors of ill-defined illness (non-diagnosed conditions) as a cause of death in cancer patients: A population-based study

Abstract

Abstract Introduction: This observational study characterised ill-defined illness (non-diagnosed conditions) mortality risk for multiple cancer sites, with respect to other factors related to the patient's condition and demographic information. Method: Using the Surveillance, Epidemiology and End Results (SEER) database (1975-2016), complete data on 24378 patients were identified; their death was due to non-diagnosed conditions were identified. Overall survival (OS) was estimated using the Kaplan-Meier method. Cox, the proportional hazards model, were used to produce adjusted hazard ratios (HR). Trend analysis was conducted using joinpoint regression analysis with four join points, and annual percentage change (APC) was calculated. Results: We found that 24378 cancer patients died due to unknown conditions. The mean age of the patients was 71.22, and most of them were female (50.6%). Most tumours were malignant 92.2% and grade II (n = 6650 (27.3%)). Most patients had surgery, only. White and married patients constituted most of the patients. The most common site associated with the ill-defined condition was GIT (n = 4578) followed by breast (n = 4003) followed by the male genital system (n = 3630). The most common pathology associated with ill-defined conditions was adenoma and adenocarcinoma (n = 9575) followed by ductal and lobular carcinoma (n = 3501) followed by squamous cell carcinoma (n = 2181). There were five trends observed for the mortality due to undiagnosed conditions. The rate of cases increased significantly from 1975 to 2008; then there was a decrease in cases from 2008 till 2015, but it was small and insignificant followed by a significant decrease in the number of cases [-59.4, (95% CI = -71.4; -42.5), p-value <0.001]. The overall average annual percent change was significant increase was 4.8% (95% CI = 4.8; 9.9, p-value < 0.001). Based on the logistic regression analysis, older males had a higher risk for the disease. Conclusion: Our study finding might serve as a reference for clinicians when evaluating patients with cancer to search for any underlying condition that was not diagnosed during the disease course, as this will help to reduce the mortality associated with these conditions. Citation Format: Muhammed Khaled Elfaituri, Sara Morsy, Nguyen Tien Huy. Incidence and mortality predictors of ill-defined illness (non-diagnosed conditions) as a cause of death in cancer patients: A population-based study [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5763.