Use of a blood test incorporating age, sex, and gene expression influences medical decision-making in the evaluation of women presenting with symptoms suggestive of obstructive coronary artery disease: summary results from two ambulatory care studies in primary care.

OBJECTIVE: Clinicians need better approaches to evaluating women at midlife and beyond who present to primary care with chest pain and related symptoms. A previously validated blood-based test, which includes age, sex, and gene expression levels, showed a 96% negative predictive value for determining an individual's current likelihood of having obstructive coronary artery disease (CAD) in a combined population of men and women. We hypothesized that age/sex/gene expression score (ASGES) would be incorporated into medical decision-making and would influence the rate of further cardiac evaluation. METHODS: An aggregate analysis of female cohorts from the Investigation of a Molecular Personalized Coronary Gene Expression Test on Primary Care Practice Pattern (IMPACT-PCP; NCT01594411) and REGISTRY I (NCT01557855) studies was conducted. Data on 320 women presenting with stable symptoms suggestive of obstructive CAD and undergoing ASGES testing (from 16 primary care providers in geographically diverse sites) were pooled. The primary outcome of this analysis was the association between ASGES and referrals for further cardiac evaluation. RESULTS: The mean participant age was 57.8 years, and the mean ASGES (predefined as low [ASGES ≤15] or elevated [ASGES >15]) was 10.3. The referral rate for further cardiac evaluation was 4.0% (10 of 248) for women with low ASGES versus 83.3% (60 of 72) for women with elevated ASGES, with an overall follow-up major adverse cardiac event/revascularization rate of 1.2%. After adjustment for clinical covariates, women with low ASGES were significantly less likely to be referred for further cardiac evaluation (odds ratio, 0.013; P < 0.0001). CONCLUSIONS: ASGES can be incorporated into medical decision-making to help primary care providers rule out obstructive CAD among symptomatic women who are unlikely to benefit from further cardiac testing.

Sources of hospital variation in short-term readmission rates after percutaneous coronary intervention.

BACKGROUND: Risk-standardized all-cause 30-day readmission rates (RSRRs) after percutaneous coronary intervention (PCI) have been endorsed as a national measure of hospital quality. Little is known about variation in the performance of hospitals on this measure, and whether high hospital rates of readmission after PCI are due to modifiable deficiencies in quality of care has not been assessed. METHODS AND RESULTS: We estimated 30-day, all-cause RSRRs for all nonfederal PCI-performing hospitals in Massachusetts, adjusted for clinical and angiographic variables, between 2005 and 2008. We assessed if differences in race, insurance type, and PCI and post-PCI characteristics, including procedural complications and discharge characteristics, could explain variation between hospitals using nested hierarchical logistic regression models. Of 36 060 patients undergoing PCI at 24 hospitals and surviving to discharge, 4469 (12.4%) were readmitted within 30 days of discharge. Hospital RSRRs ranged from 9.5% to 17.9%, with 8 of 24 hospitals being identified as outliers (4 lower than expected and 4 higher than expected). Differences in race, insurance, PCI, and post-PCI factors accounted for 10.4% of the between-hospital variance in RSRRs. CONCLUSIONS: We observed wide variation in hospital 30-day all-cause RSRRs after PCI, most of which could not be explained by identifiable differences in procedural and postprocedural factors. A better understanding of etiologies of hospital variation is necessary to determine whether this measure is an actionable assessment of hospital quality, and, if so, how hospitals might improve their performance.