ABSTRACT
Background There has been a push toward implementation of electronic health records (EHRs) in federally-funded hospitals under the current policies initiated by the Indian government, with a lack of evidence supporting their adoption. We analyzed data from the American College of Cardiology’s PINNACLE (Practice Innovation and Clinical Excellence) India Quality Improvement Program (PIQIP) to evaluate the association between EHR use and quality of cardiovascular disease care in India. Methods and Results Between 2011–2016, we collected data on performance measures for patients with coronary artery disease (CAD), heart failure (HF) and atrial fibrillation (AF) among 17 participating practices in PIQIP. There were 19,035 patients with CAD, 9,373 patients with HF, and 1,127 patients with AF. Documentation of co-morbidity burden in patients with CAD was lower among practices with EHR—hypertension (49.8% vs. 52.1%, p = 0.003), diabetes (34.9% vs. 38.3%, p < 0.001), and hyperlipidemia (0.2 vs. 3.9%, p < 0.001). On the contrary, documentation of medication prescription was higher in CAD patients seen at practices with EHR—aspirin (63.2% vs. 17.8%, p < 0.001), clopidogrel (41.7% vs. 27.4%, p < 0.001), beta-blockers (61.4% vs. 9.8%, p < 0.001), and ACE-i or ARBs (53.9% vs. 16.4%, p < 0.001). Similarly, documentation of receipt of beta-blockers (43.8% vs. 10.7%, p < 0.001), ACE-i or ARBs (40.8% vs. 16.1%, p < 0.001), and beta-blockers + ACE-i or ARBs (36.4% vs. 3.6%, p < 0.001) was also significantly higher in patients with HF seen at practices with EHR. Among patients with AF, documentation of oral anticoagulation use was significantly higher among EHR practices—warfarin (42.5% vs. 26.1%, p < 0.001). Conclusions Documentation of receipt of guideline-directed medical therapy in CAD, HF, and AF was significantly higher in practices with EHRs in India compared with sites without EHRs. Our findings shed a spotlight on the value of EHRs in future health care policy-making in India with regard to widespread adoption of EHRs in primary and advanced specialty care settings across public and private sectors.
ABSTRACT
Background: Hypertrophic cardiomyopathy (HCM) is a heart muscle disorder and is known to be inherited as an autosomal dominant trait. Mutations in several sarcomeric, cytoskeletal and mitochondrial genes have been reported in HCM. Though many cases of HCM are being identified, there is limited data regarding the epidemiology and genetics of HCM in India. Aim: Therefore the present study is envisaged at identifying the epidemiological variables in HCM and fitting a probability model assuming dominant mode of inheritance in HCM, which may in turn shed light on the heterogeneity of this complex disorder. Materials AND Methods: The 127 HCM cases were divided into subtypes based on pattern of hypertrophy. Chi square analysis, odds ratio, probability, relative frequency, penetrance and heritability estimates were calculated apart from epidemiological variables. Results: The HCM subtypes revealed the heterogeneous nature of the condition suggesting that the genes/mutations involved in their pathogenesis are different and this is supported by distinctive differences observed in their probability, heritability and penetrance estimates apart from epidemiological variables. An increased male preponderance was observed with the sex ratio being 3.7:1. The age at onset was found to be more than a decade early in familial cases (30 ± 10 yrs) compared to non familial cases (44 ± 14 yrs). Chi square analysis revealed obstructive HCM to be following autosomal dominant mode of inheritance where as non-obstructive HCM was significantly deviating. The level of deviation was significantly high for the middle onset group compared to early and late onset groups, therefore this group may be considered as an admixture wherein genes/gene modifiers and environmental variables may be contributing to the heterogeneity and this is further supported by odds ratio. Conclusions: The study thus brings out the complexity of HCM and suggests that modes of inheritance other than autosomal dominant may be encountered in a subset of HCM especially in asymmetric septal hypertrophy, apical, concentric and mid cavity obstruction subsets and hence a mixed model of inheritance is the best fit for such complex disorders.