Background—: In rural areas in China and India, the cardiovascular disease burden is high but economic and healthcare resources are limited. This study (the Simplified Cardiovascular Management Study [SimCard]) aims to develop and evaluate a simplified cardiovascular management program delivered by community health workers with the aid of a smartphone-based electronic decision support system. Methods and Results—: The SimCard study was a yearlong cluster-randomized, controlled trial conducted in 47 villages (27 in China and 20 in India). Recruited for the study were 2086 individuals with high cardiovascular risk (aged ≥40 years with self-reported history of coronary heart disease, stroke, diabetes mellitus, and/or measured systolic blood pressure ≥160 mm Hg). Participants in the intervention villages were managed by community health workers through an Android-powered app on a monthly basis focusing on 2 medication use and 2 lifestyle modifications. In comparison with the control group, the intervention group had a 25.5% ( P <0.001) higher net increase in the primary outcome of the proportion of patient-reported antihypertensive medication use pre- and post-intervention. There were also significant differences in certain secondary outcomes: aspirin use (net difference: 17.1%; P <0.001) and systolic blood pressure (–2.7 mm Hg; P =0.04). However, no significant changes were observed in the lifestyle factors. The intervention was culturally tailored, and country-specific results revealed important differences between the regions. Conclusions—: The results indicate that the simplified cardiovascular management program improved quality of primary care and clinical outcomes in resource-poor settings in China and India. Larger trials in more places are needed to ascertain the potential impacts on mortality and morbidity outcomes. Clinical Trial Registration—: URL: http://www.clinicaltrials.gov . Unique identifier: NCT01503814.

Air pollution has been associated with reproductive complications. We hypothesized that declining air quality during in vitro fertilization (IVF) would adversely affect live birth rates. Data from US Environmental Protection Agency air quality monitors and an established national-scale, log-normal kriging method were used to spatially estimate daily mean concentrations of criteria pollutants at addresses of 7403 females undergoing their first IVF cycle and at the their IVF labs from 2000 to 2007 in the Northeastern USA. These data were related to pregnancy outcomes. Increases in nitrogen dioxide (NO₂) concentration both at the patient's address and at the IVF lab were significantly associated with a lower chance of pregnancy and live birth during all phases of an IVF cycle from medication start to pregnancy test [most significantly after embryo transfer, odds ratio (OR) 0.76, 95% confidence interval (CI) 0.66–0.86, per 0.01 ppm increase]. Increasing ozone (O₃) concentration at the patient's address was significantly associated with an increased chance of live birth during ovulation induction (OR 1.26, 95% CI 1.10–1.44, per 0.02 ppm increase), but with decreased odds of live birth when exposed from embryo transfer to live birth (OR 0.62, 95% CI 0.48–0.81, per 0.02 ppm increase). After modeling for interactions of NO₂ and O₃ at the IVF lab, NO₂ remained negatively and significantly associated with live birth (OR 0.86, 95% CI 0.78–0.96), whereas O₃ was non-significant. Fine particulate matter (PM_2.5) at the IVF lab during embryo culture was associated with decreased conception rates (OR 0.90, 95% CI 0.82–0.99, per 8 µg/m³ increase), but not with live birth rates. No associations were noted with sulfur dioxide or larger particulate matter (PM₁₀). The effects of declining air quality on reproductive outcomes after IVF are variable, cycle-dependent and complex, though increased NO₂ is consistently associated with lower live birth rates. Our findings are limited by the lack of direct measure of pollutants at homes and lab sites.

The implications of rising obesity for cardiovascular health in middle-income countries has generated interest, in part because associations between obesity and cardiovascular health seem to vary across ethnic groups. We assessed general and central obesity in Africa, East Asia, South America, and South Asia. We further investigated whether body mass index (BMI) and waist circumference differentially relate to cardiovascular health; and associations between obesity metrics and adverse cardiovascular health vary by region. Using baseline anthropometric data collected between 2008 and 2012 from 7 cohorts in 9 countries, we estimated the proportion of participants with general and central obesity using BMI and waist circumference classifications, respectively, by study site. We used Poisson regression to examine the associations (prevalence ratios) of continuously measured BMI and waist circumference with prevalent diabetes and hypertension by sex. Pooled estimates across studies were computed by sex and age. This study analyzed data from 31,118 participants aged 20 to 79 years. General obesity was highest in South Asian cities and central obesity was highest in South America. The proportion classified with general obesity (range 11% to 50%) tended to be lower than the proportion classified as centrally obese (range 19% to 79%). Every standard deviation higher of BMI was associated with 1.65 and 1.60 times higher probability of diabetes and 1.42 and 1.28 times higher probability of hypertension, for men and women, respectively, aged 40 to 69 years. Every standard deviation higher of waist circumference was associated with 1.48 and 1.74 times higher probability of diabetes and 1.34 and 1.31 times higher probability of hypertension, for men and women, respectively, aged 40 to 69 years. Associations of obesity measures with diabetes were strongest in South Africa among men and in South America among women. Associations with hypertension were weakest in South Africa among both sexes. BMI and waist circumference were both reasonable predictors of prevalent diabetes and hypertension. Across diverse ethnicities and settings, BMI and waist circumference remain salient metrics of obesity that can identify those with increased cardiovascular risk.

Background and Purpose— Stroke disability is a major health burden in rural China where rehabilitation services are inadequate. We aimed to determine the effectiveness of a novel nurse-led, caregiver-delivered model of stroke rehabilitation in rural China. Methods— A multicenter prospective, randomized open, blinded outcome assessed, controlled trial was conducted in 3 rural county hospitals in China: Zhangwu, Liaoning Province (Northeast); Qingtongxia, Ningxia Hui Autonomous Region (Northwest); and Dianjiang, Chongqing Municipality (Southwest). Adult patients (age 18–79 years) with residual disability (Barthel Index score ≤80/100) after a recent acute stroke were randomized to a new service model or usual care. The new intervention was multifaceted and was based on a task-shifting / training-the-trainers model, supported by a custom-designed smartphone application, where patients and caregivers received evidence-based in-hospital education and stroke rehabilitation training (focus on mobility, self-care, and toileting), delivered by trained nurses before hospital discharge, and 3 postdischarge support telephone calls. Outcome assessments were undertaken before hospital discharge and at 3 and 6 months. Primary outcome was physical functioning (Barthel Index scores) at 6 months, assessed by research staff blind to treatment allocation, adjusted for baseline covariates in an intention-to-treat analysis. Secondary outcomes included measures of mobility, health-related quality of life, mood, and caregiver burden. The study included a process evaluation that assessed intervention fidelity. Results— From November 2014 to December 2016, 246 stroke patients were randomized to intervention (n=118) or control (n=128) groups. There was no statistically significant difference in adjusted 6-month Barthel Index scores between groups (70.1 versus 74.1, mean difference, −4.0 [95% CI, −10.0 to 2.9]), nor any differences across the other outcome measures. Process evaluation interviews revealed that the intervention was desirable and positively accepted by nurses, caregivers, and patients but was considered too complex despite efforts to simplify materials for the rural context. Key strategies identified for future studies included the use of community health workers, smartphone application enhancement, and simpler and more frequent training for nurses, caregivers, and patients. Conclusions— A novel nurse-led, digital supported, caregiver-delivered stroke rehabilitation program did not improve patient physical functioning after stroke in rural China. Further stroke rehabilitation research suitable for resource-poor settings is required, with several components being suggested through stakeholder interviews in our study.

To investigate the relationship between electrocardiogram (ECG) parameters [J wave, fragmented QRS (fQRS), QTc, the peak-to-end interval of T wave (Tp–Te)], and sudden cardiac death (SCD) in chronic heart failure (CHF). The ECGs of 1570 CHF patients, 572 cases with dilated cardiomyopathy (DCM) and 998 cases with ischaemic cardiomyopathy (ICM) were analysed with the endpoint being an SCD or non-SCD (NSCD).  During a median follow-up period of 36 months (0.40–65 months), 438 (27.89%) patients died, of which 158 (35.84%) were SCD. Overall, the occurrence of J wave, fQRS, and long Tp–Te were greater in SCD patients than that of NSCD patients (all P< 0.01). For DCM cases, more SCD patients had J waves observed in the inferior leads than that in the NSCD group (26.78 vs. 13.07%, P<0.001). However, ICM cases with SCD did have more fQRS in the inferior leads than that with NSCD (42.16 vs. 26.67%, P= 0.01). After adjusting for other risk factors, Cox regression analysis revealed that presence of J wave or fQRS in the inferior leads predicted a higher risk for SCD in DCM [hazard ratio (HR), 4.095; 95% confidence interval (CI), 2.132–7.863] and ICM (HR, 2.714; 95% CI, 1.809–4.072) patients. A left ventricular ejection fraction ≤30% also predicted SCD and NSCD in DCM and ICM patients. In contrast, the predictive value of QTc and Tp–Te for SCD was not significant. Presence of J wave or fQRS in the inferior leads predicted higher risk of SCD in DCM and ICM patients and might serve as independent predictors for SCD in patients with CHF.