Dataset Information

Ruling out coronary artery disease in primary care: development and validation of a simple prediction rule.

ABSTRACT:

Background

Chest pain can be caused by various conditions, with life-threatening cardiac disease being of greatest concern. Prediction scores to rule out coronary artery disease have been developed for use in emergency settings. We developed and validated a simple prediction rule for use in primary care.

Methods

We conducted a cross-sectional diagnostic study in 74 primary care practices in Germany. Primary care physicians recruited all consecutive patients who presented with chest pain (n = 1249) and recorded symptoms and findings for each patient (derivation cohort). An independent expert panel reviewed follow-up data obtained at six weeks and six months on symptoms, investigations, hospital admissions and medications to determine the presence or absence of coronary artery disease. Adjusted odds ratios of relevant variables were used to develop a prediction rule. We calculated measures of diagnostic accuracy for different cut-off values for the prediction scores using data derived from another prospective primary care study (validation cohort).

Results

The prediction rule contained five determinants (age/sex, known vascular disease, patient assumes pain is of cardiac origin, pain is worse during exercise, and pain is not reproducible by palpation), with the score ranging from 0 to 5 points. The area under the curve (receiver operating characteristic curve) was 0.87 (95% confidence interval [CI] 0.83-0.91) for the derivation cohort and 0.90 (95% CI 0.87-0.93) for the validation cohort. The best overall discrimination was with a cut-off value of 3 (positive result 3-5 points; negative result InterpretationThe prediction rule for coronary artery disease in primary care proved to be robust in the validation cohort. It can help to rule out coronary artery disease in patients presenting with chest pain in primary care.

SUBMITTER: Bosner S

PROVIDER: S-EPMC2934794 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:ImportanceAngina pectoris is associated with morbidity and mortality. Angina prevalence and frequency among contemporary US populations with coronary artery disease (CAD) remain incompletely defined.ObjectiveTo ascertain the angina prevalence and frequency among stable outpatients with CAD.Design, setting, and participantsThis cross-sectional survey study involved telephone-based administration of the Seattle Angina Questionnaire-7 (SAQ-7) between February 1, 2017, and July 31, 2017, to a nonconvenience sample of adults with established CAD who receive primary care through a large US integrated primary care network. Data analysis was performed from August 2017 to August 2019.ExposureSAQ-7 administration.Main outcomes and measuresAngina prevalence and frequency were assessed using SAQ-7 question 2. Covariates associated with angina were assessed in univariable and multivariable regression.ResultsOf 4139 eligible patients, 1612 responded to the survey (response rate, 38.9%). The mean (SD) age of the respondents was 71.8 (11.0) years, 577 (35.8%) were women, 1447 (89.8%) spoke English, 147 (9.1%) spoke Spanish, 1336 (82.8%) were White, 76 (4.7%) were Black, 92 (5.7%) were Hispanic, 974 (60.4%) had Medicare, and 83 (5.2%) had Medicaid. Among respondents, 342 (21.2%) reported experiencing angina at least once monthly; among those, 201 (12.5%) reported daily or weekly angina, and 141 respondents (8.7%) reported monthly angina. The mean (SD) SAQ-7 score was 93.7 (13.7). After multivariable adjustment, speaking a language other than Spanish or English (odds ratio [OR], 5.07; 95% CI, 1.39-18.50), Black race (OR, 2.01; 95% CI, 1.08-3.75), current smoking (OR, 1.88; 95% CI, 1.27-2.78), former smoking (OR, 1.69; 95% CI, 1.13-2.51), atrial fibrillation (OR, 1.52; 95% CI, 1.02-2.26), and chronic obstructive pulmonary disease (OR, 1.61; 95% CI, 1.18-2.18) were associated with more frequent angina. Male sex (OR, 0.63; 95% CI, 0.47-0.86), peripheral artery disease (OR, 0.63; 95% CI, 0.44-0.90), and novel oral anticoagulant use (OR, 0.19; 95% CI, 0.08-0.48) were associated with less frequent angina.Conclusions and relevanceAmong stable outpatients with CAD receiving primary care through an integrated primary care network, 21.2% of surveyed patients reported experiencing angina at least once monthly. Several objective demographic and clinical characteristics were associated with angina frequency. Proactive assessment of angina symptoms using validated assessment tools and estimation of patients at higher risk of suboptimally controlled angina may be associated with reduced morbidity.

Project description:BACKGROUND:Coronary artery disease (CAD) has substantial heritability and a polygenic architecture. However, the potential of genomic risk scores to help predict CAD outcomes has not been evaluated comprehensively, because available studies have involved limited genomic scope and limited sample sizes. OBJECTIVES:This study sought to construct a genomic risk score for CAD and to estimate its potential as a screening tool for primary prevention. METHODS:Using a meta-analytic approach to combine large-scale, genome-wide, and targeted genetic association data, we developed a new genomic risk score for CAD (metaGRS) consisting of 1.7 million genetic variants. We externally tested metaGRS, both by itself and in combination with available data on conventional risk factors, in 22,242 CAD cases and 460,387 noncases from the UK Biobank. RESULTS:The hazard ratio (HR) for CAD was 1.71 (95% confidence interval [CI]: 1.68 to 1.73) per SD increase in metaGRS, an association larger than any other externally tested genetic risk score previously published. The metaGRS stratified individuals into significantly different life course trajectories of CAD risk, with those in the top 20% of metaGRS distribution having an HR of 4.17 (95% CI: 3.97 to 4.38) compared with those in the bottom 20%. The corresponding HR was 2.83 (95% CI: 2.61 to 3.07) among individuals on lipid-lowering or antihypertensive medications. The metaGRS had a higher C-index (C = 0.623; 95% CI: 0.615 to 0.631) for incident CAD than any of 6 conventional factors (smoking, diabetes, hypertension, body mass index, self-reported high cholesterol, and family history). For men in the top 20% of metaGRS with >2 conventional factors, 10% cumulative risk of CAD was reached by 48 years of age. CONCLUSIONS:The genomic score developed and evaluated here substantially advances the concept of using genomic information to stratify individuals with different trajectories of CAD risk and highlights the potential for genomic screening in early life to complement conventional risk prediction.