Ascertainment of stroke from administrative data to support a pragmatic embedded clinical trial.

The goal of this observational study was to identify stroke hospitalizations using International Classification of Disease (ICD)-10 codes and use these codes to develop an ascertainment algorithm for use in pragmatic clinical trials, reducing or eliminating the need for manual chart adjudication in future. Using VA (Veterans Affairs) electronic medical records, 9959 patient charts with ICD-10 codes indicating stroke were screened and a sample of 304 were adjudicated by three clinical reviewers. Hospitalizations were categorized as stroke or non-stroke and positive predictive value (PPV) was calculated for each ICD-10 code that was sampled. The adjudicated codes were categorized for use in a decision tool for identifying stroke in a clinical trial. Of the 304 hospitalizations adjudicated, 192 met the definition of stroke. Of the ICD-10 codes evaluated, I61 yielded the highest PPV (100%) while I63.x yielded the 2nd highest PPV (90%) with a false discovery rate of 10%. A relatively high PPV of ≥80% was associated with codes I60.1-7, I61, I62.9 and I63, which accounted for nearly half of all cases reviewed. Hospitalizations associated with these codes were categorized at positive stroke cases. The incorporation of large administrative datasets, and elimination of trial specific data collection, increases efficiencies, while reducing costs. Accurate algorithms must be developed to allow for identification of clinical endpoints from administrative databases to offer a reliable alternative to study-specific case report form completion. This study demonstrates an example of how to apply medical record data to a decision tool for clinical trial outcomes. CSP597 or clinicaltrials.gov NCT02185417.

ß-Blocker Use and Cardiovascular Outcomes in Hemodialysis: A Systematic Review.

Rationale & Objective: There is conflicting evidence regarding the type of ß-blockers to use in dialysis patients. This systematic review seeks to determine whether highly dialyzable ß-blockers are associated with higher rates of cardiovascular events and mortality in hemodialysis patients than poorly dialyzable ß-blockers. Study Design: A systematic review of the existing literature was conducted. A meta-analysis was performed using data from the selected studies. Setting & Study Populations: Participants were from the United States, Canada, and Taiwan. The mean ages of participants ranged from 55.9-75.7 years. Selection Criteria for Studies: We searched the Ovid MEDLINE database from 1990 to September 2020. Studies without adult hemodialysis participants and without comparisons of at least 2 ß-blockers of different dialyzability were excluded. Data Extraction: Baseline and adjusted outcome data were extracted from each study. Analytical Approach: Random-effects models were used to calculate pooled risk ratios using fully adjusted models from individual studies. Results: Four cohort studies were included. Pooling fully adjusted models, highly dialyzable ß-blockers did not influence mortality (HR, 0.94; 95% CI, 0.81-1.08; I2 = 0.84) compared with poorly dialyzable ß-blockers but were associated with a reduction in cardiovascular events (HR, 0.88; 95% CI, 0.83-0.93). There was significant heterogeneity between studies (I2 = 0.35). Only 1 study reported on adverse events. Intradialytic hypotension was more common in those on carvedilol (a poorly dialyzable ß-blocker) compared with those on metoprolol (a highly dialyzable ß-blocker; adjusted incidence rate ratio, 1.10; 95% CI, 1.09-1.11). Limitations: No randomized controlled trials were identified. Each study used different analytic methods and different definitions for outcomes. Classifications of ß-blockers varied. Only 1 study reported on adverse events. Conclusions: Pooled data suggest highly dialyzable ß-blockers are associated with similar mortality events and fewer cardiovascular events compared with poorly dialyzable ß-blockers.