Literature DB >> 32436390

Use of Administrative Claims to Assess Outcomes and Treatment Effect in Randomized Clinical Trials for Transcatheter Aortic Valve Replacement: Findings From the EXTEND Study.

Jordan B Strom1,2,3, Kamil F Faridi2,4, Neel M Butala3,5, Yuansong Zhao1,2,3, Hector Tamez1,2,3, Linda R Valsdottir1,2,3, J Matthew Brennan6, Changyu Shen1,2,3, Jeffrey J Popma2,3,7, Dhruv S Kazi1,2,3, Robert W Yeh1,2,3,7.   

Abstract

BACKGROUND: Whether passively collected data can substitute for adjudicated outcomes to reproduce the magnitude and direction of treatment effect observed in cardiovascular clinical trials is not well known.
METHODS: We linked adults ≥65 years of age in the HiR (US CoreValve Pivotal High Risk) and SURTAVI trials (Surgical or Transcatheter Aortic Valve Replacement in Intermediate-Risk Patients) to 100% Medicare inpatient claims, January 1, 2011, to December 31, 2016. Primary (eg, death and stroke) and secondary trial end points were compared across treatment arms (eg, transcatheter aortic valve replacement [TAVR] versus surgical aortic valve replacement [SAVR]) using trial-adjudicated outcomes versus outcomes derived from claims at 1 year (HiR) or 2 years (SURTAVI).
RESULTS: Among 600 linked HiR participants (linkage rate, 80.0%), the rate of the trial's primary end point of all-cause mortality occurred in 13.7% of patients receiving TAVR and 16.4% of patients receiving SAVR at 1 year by using both trial data (hazard ratio, 0.84 [95% CI, 0.65-1.09]; P=0.33) and claims data (hazard ratio, 0.86 [95% CI, 0.66-1.11]; P=0.34; interaction P value=0.80). Noninferiority of TAVR relative to SAVR was seen by using both trial- and claims-based outcomes (Pnoninferiority<0.001 for both). Among 1005 linked SURTAVI trial participants (linkage rate, 60.5%), the trial's primary end point was 12.9% for TAVR and 13.1% for SAVR using trial data (hazard ratio, 1.08 [95% CI, 0.79-1.48]; P=0.90), and 11.3% for TAVR and 12.5% for SAVR patients using claims data (hazard ratio, 1.02 [95% CI, 0.73-1.41]; P=0.58; interaction P value=0.89). TAVR was noninferior to SAVR when compared using both trial and claims (Pnoninferiority<0.001 for both). Rates of procedural secondary outcomes (eg, aortic valve reintervention, pacemaker rates) were more closely concordant between trial and claims data than nonprocedural outcomes (eg, stroke, bleeding, cardiogenic shock).
CONCLUSIONS: In the HiR and SURTAVI trials, ascertainment of trial primary end points using claims reproduced both the magnitude and direction of treatment effect in comparison with adjudicated event data, but nonfatal and nonprocedural secondary outcomes were not as well reproduced. Use of claims to substitute for adjudicated outcomes in traditional trial treatment comparisons may be valid and feasible for all-cause mortality and certain procedural outcomes but may be less suitable for other end points.

Entities:  

Keywords:  administrative claims, healthcare; aortic valve; clinical trial; outcomes assessment, health care

Year:  2020        PMID: 32436390      PMCID: PMC7672506          DOI: 10.1161/CIRCULATIONAHA.120.046159

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


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4.  Surgical or Transcatheter Aortic-Valve Replacement in Intermediate-Risk Patients.

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6.  Study of Cardiovascular Health Outcomes in the Era of Claims Data: The Cardiovascular Health Study.

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8.  Validating the use of registries and claims data to support randomized trials: Rationale and design of the Extending Trial-Based Evaluations of Medical Therapies Using Novel Sources of Data (EXTEND) Study.

Authors:  Jordan B Strom; Hector Tamez; Yuansong Zhao; Linda R Valsdottir; Jeptha Curtis; J Matthew Brennan; Changyu Shen; Jeffrey J Popma; Laura Mauri; Robert W Yeh
Journal:  Am Heart J       Date:  2019-03-06       Impact factor: 4.749

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10.  Trends in Isolated Surgical Aortic Valve Replacement According to Hospital-Based Transcatheter Aortic Valve Replacement Volumes.

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2.  Bias Implications of Outcome Misclassification in Observational Studies Evaluating Association Between Treatments and All-Cause or Cardiovascular Mortality Using Administrative Claims.

Authors:  Rishi J Desai; Raisa Levin; Kueiyu Joshua Lin; Elisabetta Patorno
Journal:  J Am Heart Assoc       Date:  2020-08-26       Impact factor: 5.501

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