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Risk factors for early death among ovarian cancer patients: a nationwide cohort study.

ABSTRACT: OBJECTIVE:To characterize ovarian cancer patients who die within 6 months of diagnosis and to identify prognostic factors for these early deaths. METHODS:A nationwide cohort study covering ovarian cancer in Denmark in 2005-2016. Tumor and patient characteristics including comorbidity and socioeconomic factors were obtained from the comprehensive Danish national registers. RESULTS:A total of 5,570 patients were included in the study. Three months after ovarian cancer diagnosis 456 (8.2%) had died and 664 (11.9%) died within 6 months of diagnosis. Adjusted for age and comorbidity, patients who died early were admitted to hospital significantly more often in a 6-month period before the diagnosis (odds ratio [OR]=1.61 [1.29-2.00], and OR=1.47 [1.21-1.78]), for patients who died within 3 and 6 months respectively). Low educational level (OR=2.11), low income (OR=2.50) and singlehood (OR=1.90) were factors significantly associated with higher risk of early death. The discriminative ability of risk factors in identifying early death was assessed by cross-validated area under the receiver operating characteristic curve (AUC). The AUC was found to be 0.91 (0.88-0.93) and 0.90 (0.87-0.92) for death within 3 and 6 months, respectively. CONCLUSIONS:Despite several admissions to hospital, the ovarian cancer diagnosis is delayed for a subgroup of patients, who end up dying early, probably due to physical deterioration in the ineffective waiting time. Up to 90% of high-risk patients might be identified significantly earlier to improve the prognosis. The admittance of the patients having risk symptoms should include fast track investigation for ovarian cancer.

SUBMITTER: Mosgaard BJ

PROVIDER: S-EPMC7189078 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Risk factors for early death among ovarian cancer patients: a nationwide cohort study.

Mosgaard Berit Jul BJ Meaidi Amani A Høgdall Claus C Noer Mette Calundann MC

Journal of gynecologic oncology 20191219 3

<h4>Objective</h4>To characterize ovarian cancer patients who die within 6 months of diagnosis and to identify prognostic factors for these early deaths.<h4>Methods</h4>A nationwide cohort study covering ovarian cancer in Denmark in 2005-2016. Tumor and patient characteristics including comorbidity and socioeconomic factors were obtained from the comprehensive Danish national registers.<h4>Results</h4>A total of 5,570 patients were included in the study. Three months after ovarian cancer diagnos ...[more]

PMID: 32026656

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Project description:BackgroundThere are little data on diverticular disease and cancer development other than colorectal cancer.MethodsWe conducted a population-based, matched cohort study with linkage of nationwide registers to the Epidemiology Strengthened by histoPathology Reports in Sweden histopathology cohort. We included 75 704 patients with a diagnosis of diverticular disease and colorectal histopathology and 313 480 reference individuals from the general population matched on age, sex, calendar year, and county. Cox proportional hazards models estimated multivariable-adjusted hazard ratios (HRs) for associations between diverticular disease and overall cancer and specific cancers.ResultsOver a median follow-up of 6 years, we documented 12 846 incident cancers among patients with diverticular disease and 43 354 incident cancers among reference individuals from the general population. Compared with reference individuals, patients with diverticular disease had statistically significantly increased overall cancer incidence (24.5 vs 18.1 per 1000 person-years), equivalent to 1 extra cancer case in 16 individuals with diverticular disease followed-up for 10 years. After adjusting for covariates, having a diagnosis of diverticular disease was associated with a 33% increased risk of overall cancer (95% confidence interval [CI] = 1.31 to 1.36). The risk increases also persisted compared with siblings as secondary comparators (HR = 1.26, 95% CI = 1.21 to 1.32). Patients with diverticular disease also had an increased risk of specific cancers, including colon cancer (HR = 1.71, 95% CI = 1.60 to 1.82), liver cancer (HR = 1.72, 95% CI = 1.41 to 2.10), pancreatic cancer (HR = 1.62, 95% CI = 1.42 to 1.84), and lung cancer (HR = 1.50, 95% CI = 1.39 to 1.61). The increase in colorectal cancer risk was primarily restricted to the first year of follow-up, and especially early cancer stages.ConclusionsPatients with diverticular disease who have colorectal histopathology have an increased risk of overall incident cancer.

Project description:To explore the risk factors of developing chronic pancreatitis (CP) in patients with acute pancreatitis (AP) and develop a prediction score for CP. Using the National Health Insurance Research Database in Taiwan, we obtained large, population-based data of 5971 eligible patients diagnosed with AP from 2000 to 2013. After excluding patients with obstructive pancreatitis and biliary pancreatitis and those with a follow-up period of less than 1 year, we conducted a multivariate analysis using the data of 3739 patients to identify the risk factors of CP and subsequently develop a scoring system that could predict the development of CP in patients with AP. In addition, we validated the scoring system using a validation cohort. Among the study subjects, 142 patients (12.98%) developed CP among patients with RAP. On the other hand, only 32 patients (1.21%) developed CP among patients with only one episode of AP. The multivariate analysis revealed that the presence of recurrent AP (RAP), alcoholism, smoking habit, and age of onset of < 55 years were the four important risk factors for CP. We developed a scoring system (risk score 1 and risk score 2) from the derivation cohort by classifying the patients into low-risk, moderate-risk, and high-risk categories based on similar magnitudes of hazard and validated the performance using another validation cohort. Using the prediction score model, the area under the curve (AUC) [95% confidence interval (CI)] in predicting the 5-year CP incidence in risk score 1 (without the number of AP episodes) was 0.83 (0.79, 0.87), whereas the AUC (95%CI) in risk score 2 (including the number of AP episodes) was 0.84 (0.80, 0.88). This result demonstrated that the risk score 2 has somewhat better prediction performance than risk score 1. However, both of them had similar performance between the derivation and validation cohorts. In the study,we identified the risk factors of CP and developed a prediction score model for CP.

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Risk factors for early death among ovarian cancer patients: a nationwide cohort study.

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Risk factors for early death among ovarian cancer patients: a nationwide cohort study.

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