Search

Objectives: To determine if an automatically calculated electronic health record score can estimate intermediate-term life expectancy in men with prostate cancer to provide guideline concordant care., Methods: We identified all men (n = 36,591) diagnosed with prostate cancer in 2013-2015 in the VHA. Of the 36,591, 35,364 (96.6%) had an available Care Assessment Needs (CAN) score (range: 0-99) automatically calculated in the 30 days prior to the date of diagnosis. It was designed to estimate short-term risks of hospitalization and mortality. We fit unadjusted and multivariable Cox proportional hazards regression models to determine the association between the CAN score and overall survival among men with prostate cancer. We compared CAN score performance to two established comorbidity measures: The Charlson Comorbidity Index and Prostate Cancer Comorbidity Index (PCCI)., Results: Among 35,364 men, the CAN score correlated with overall stage, with mean scores of 46.5 ( ± 22.4), 58.0 ( ± 24.4), and 68.1 ( ± 24.3) in localized, locally advanced, and metastatic disease, respectively. In both unadjusted and adjusted models for prostate cancer risk, the CAN score was independently associated with survival (HR = 1.23 95%CI 1.22-1.24 & adjusted HR = 1.17 95%CI 1.16-1.18 per 5-unit change, respectively). The CAN score (overall C-Index 0.74) yielded better discrimination (AUC = 0.76) than PCCI (AUC = 0.65) or Charlson Comorbidity Index (AUC = 0.66) for 5-year survival., Conclusion: The CAN score is strongly associated with intermediate-term survival following a prostate cancer diagnosis. The CAN score is an example of how learning health care systems can implement multi-dimensional tools to provide fully automated life expectancy estimates to facilitate patient-centered cancer care., (Published by Elsevier Inc.)

Purpose: Accurate life expectancy estimates are required to inform prostate cancer treatment decisions. However, few models are specific to the population served or easily implemented in a clinical setting. We sought to create life expectancy estimates specific to Veterans diagnosed with prostate cancer., Materials and Methods: Using national Veterans Health Administration electronic health records, we identified Veterans diagnosed with prostate cancer between 2000 and 2015. We abstracted demographics, comorbidities, oncologic staging, and treatment information. We fit Cox Proportional Hazards models to determine the impact of age, comorbidity, cancer risk, and race on survival. We stratified life expectancy estimates by age, comorbidity and cancer stage., Results: Our analytic cohort included 145,678 patients. Survival modeling demonstrated the importance of age and comorbidity across all cancer risk categories. Life expectancy estimates generated from age and comorbidity data were predictive of overall survival (C-index 0.676, 95% CI 0.674-0.679) and visualized using Kaplan-Meier plots and heatmaps stratified by age and comorbidity. Separate life expectancy estimates were generated for patients with localized or advanced disease. These life expectancy estimates calibrate well across prostate cancer risk categories., Conclusions: Life expectancy estimates are essential to providing patient-centered prostate cancer care. We developed accessible life expectancy estimation tools for Veterans diagnosed with prostate cancer that can be used in routine clinical practice to inform medical-decision making., (Published by Elsevier Inc.)

Purpose: Accurate assessment of life expectancy is critical to treatment decision making in men with prostate cancer. We sought to externally validate the PCCI (Prostate Cancer Comorbidity Index) to predict long-term mortality in men with prostate cancer and make it operational using claims data., Materials and Methods: We performed an observational study of 181,009 men with prostate cancer in the Veterans Affairs Health System who were diagnosed from 2000 to 2013. Overall mortality across the PCCI scores was analyzed using Kaplan-Meier and Cox proportional hazards analysis. Discrimination and calibration were measured using the C-index and the mean prediction error, respectively., Results: Among men with a PCCI score of 0, 1-2, 3-4, 5-6, 7-9 and 10 or greater the 10-year overall mortality rate was 15%, 26%, 36%, 41%, 52% and 69%, respectively. Multivariable Cox analysis showed an increasing hazard of mortality with higher PCCI scores, including 1.22 (95% CI 1.18-1.27), 1.69 (95% CI 1.61-1.76), 2.08 (95% CI 2.00-2.17), 2.88 (95% CI 2.76-3.00) and 4.50 (95% CI 4.32-4.69) for a score of 1 to 2, 3 to 4, 5 to 6, 7 to 9 and 10 or greater, respectively. The C-index to predict overall mortality was 0.773. The mean absolute error to predict 10-year overall mortality was 0.032. Of the men with clinically localized disease, Gleason 6 or less with less than 10-year life expectancy and Gleason 7 or less with life expectancy less than 5 years as defined by the PCCI 3,999 of 12,185 (33%) and 1,038 of 3,930 (26%), respectively, underwent definitive local treatment., Conclusions: The PCCI is a claims based, externally validated tool to predict mortality in men with prostate cancer. Integrating the PCCI into clinical pathways may improve prostate cancer management through more accurate assessment of life expectancy.

Patients with kidney failure have the option of starting dialysis or continuing medical management. This observational cohort study used a target trial emulation approach to determine the mean survival and number of days at home for adults who start dialysis within 30 days of an eGFR below 12 mL/min/1.73 m 2 compared with those who continue medical management. Visual Abstract. Effect of Starting Dialysis Versus Continuing Medical Management on Survival and Home Time in Older Adults With Kidney Failure: Patients with kidney failure have the option of starting dialysis or continuing medical management. This observational cohort study used a target trial emulation approach to determine the mean survival and number of days at home for adults who start dialysis within 30 days of an eGFR below 12 mL/min/1.73 m 2 compared with those who continue medical management. Background: For older adults with kidney failure who are not referred for transplant, medical management is an alternative to dialysis. Objective: To compare survival and home time between older adults who started dialysis at an estimated glomerular filtration rate (eGFR) less than 12 mL/min/1.73 m 2 and those who continued medical management. Design: Observational cohort study using target trial emulation. Setting: U.S. Department of Veterans Affairs, 2010 to 2018. Participants: Adults aged 65 years or older with chronic kidney failure and eGFR below 12 mL/min/1.73 m 2 who were not referred for transplant. Intervention: Starting dialysis within 30 days versus continuing medical management. Measurements: Mean survival and number of days at home. Results: Among 20 440 adults (mean age, 77.9 years [SD, 8.8]), the median time to dialysis start was 8.0 days in the group starting dialysis and 3.0 years in the group continuing medical management. Over a 3-year horizon, the group starting dialysis survived 770 days and the group continuing medical management survived 761 days (difference, 9.3 days [95% CI, −17.4 to 30.1 days]). Compared with the group continuing medical management, the group starting dialysis had 13.6 fewer days at home (CI, 7.7 to 20.5 fewer days at home). Compared with the group continuing medical management and forgoing dialysis completely, the group starting dialysis had longer survival by 77.6 days (CI, 62.8 to 91.1 days) and 14.7 fewer days at home (CI, 11.2 to 16.5 fewer days at home). Limitation: Potential for unmeasured confounding due to lack of symptom assessments at eligibility; limited generalizability to women and nonveterans. Conclusion: Older adults starting dialysis when their eGFR fell below 12 mL/min/1.73 m 2 who were not referred for transplant had modest gains in life expectancy and less time at home. Primary Funding Source: U.S. Department of Veterans Affairs and National Institutes of Health. [ABSTRACT FROM AUTHOR]

Background: Estimates of overall patient health are essential to inform treatment decisions for patients diagnosed with cancer. The authors applied XWAS methods, herein referred to as "laboratory‐wide association study (LWAS)", to evaluate associations between routinely collected laboratory tests and survival in veterans with prostate cancer. Methods: The authors identified 133,878 patients who were diagnosed with prostate cancer between 2000 and 2013 in the Veterans Health Administration using any laboratory tests collected within 6 months of diagnosis (3,345,083 results). Using the LWAS framework, the false‐discovery rate was used to test the association between multiple laboratory tests and survival, and these results were validated using training, testing, and validation cohorts. Results: A total of 31 laboratory tests associated with survival met stringent LWAS criteria. LWAS confirmed markers of prostate cancer biology (prostate‐specific antigen: hazard ratio [HR], 1.07 [95% confidence interval (95% CI), 1.06‐1.08]; and alkaline phosphatase: HR, 1.22 [95% CI, 1.20‐1.24]) as well laboratory tests of general health (eg, serum albumin: HR, 0.78 [95% CI, 0.76‐0.80]; and creatinine: HR, 1.05 [95% CI, 1.03‐1.07]) and inflammation (leukocyte count: HR, 1.23 [95% CI, 1.98‐1.26]; and erythrocyte sedimentation rate: HR, 1.33 [95% CI, 1.09‐1.61]). In addition, the authors derived and validated separate models for patients with localized and advanced disease, identifying 28 laboratory markers and 15 laboratory markers, respectively, in each cohort. Conclusions: The authors identified routinely collected laboratory data associated with survival for patients with prostate cancer using LWAS methodologies, including markers of prostate cancer biology, overall health, and inflammation. Broadening consideration of determinants of survival beyond those related to cancer itself could help to inform the design of clinical trials and aid in shared decision making. Lay Summary: This article examined routine laboratory tests associated with survival among veterans with prostate cancer.Using laboratory‐wide association studies, the authors identified 31 laboratory tests associated with survival that can be used to inform the design of clinical trials and aid patients in shared decision making. The current study identifies common clinical laboratory tests that are associated with mortality in patients with prostate cancer. These tests may aid in the challenging task of estimating life expectancy among men with prostate cancer, among whom overdiagnosis is common and in whom competing risks of mortality dominate prostate cancer–specific mortality risk. [ABSTRACT FROM AUTHOR]