Trends in the incidence, mortality and clinical outcomes in patients with ventricular septal rupture following an ST-elevation myocardial infarction.

BACKGROUND: Despite improvements in outcomes of ST elevation myocardial infarction (STEMI), ventricular septal rupture (VSR) remains a known complication, carrying high mortality. The contemporary incidence, mortality, and management of post-STEMI VSR remains unclear. METHODS: The National Inpatient Sample database (2009-2020) was used to study trends in admissions and outcomes of post-STEMI VSR over time. Survey estimation commands were used to determine weighted national estimates. RESULTS: There were 2 315 186 ±â€…22 888 visits for STEMI with 0.194 ±â€…0.01% experiencing VSR during 2009-2020 in the USA. Patients with VSR were more often older, white, female, and presented with an anterior STEMI; there was no difference in the rates of fibrinolysis. In-hospital mortality was 73.6 ±â€…1.8%, but only 29.2 ±â€…1.9 and 10 ±â€…1.2% received surgical repair and transcatheter repair (TCR), respectively. TCR was associated with higher and surgical repair with lower mortality. Days to surgery were longer for those who survived (5.9 ±â€…2.75) compared with those who died (2.44 ±â€…1). In a multivariable analysis, surgical repair at greater than or equal to day 4 was associated with lower in-hospital mortality (odds ratio = 0.39, 95% confidence interval: 0.17-0.88). CONCLUSION: Mortality in post-STEMI VSR remains high with no improvement over time. Most patients are managed conservatively, and the frequency of surgical repair has decreased, while TCR has increased over the study period. Despite design limitations and survival bias, surgical repair at greater than or equal to 4 days was associated with a lower mortality.

Evaluating bias with loss to follow-up in a community-based cohort: empirical investigation from the CARRS Study.

BACKGROUND: Retention of participants is a challenge in community-based longitudinal cohort studies. We aim to evaluate the factors associated with loss to follow-up and estimate attrition bias. METHODS: Data are from an ongoing cohort study, Center for cArdiometabolic Risk Reduction in South Asia (CARRS) in India (Delhi and Chennai). Multinomial logistic regression analysis was used to identify sociodemographic factors associated with partial (at least one follow-up) or no follow-up (loss to follow-up). We also examined the impact of participant attrition on the magnitude of observed associations using relative ORs (RORs) of hypertension and diabetes (prevalent cases) with baseline sociodemographic factors. RESULTS: There were 12 270 CARRS cohort members enrolled in Chennai and Delhi at baseline in 2010, and subsequently six follow-ups were conducted between 2011 and 2022. The median follow-up time was 9.5 years (IQR: 9.3-9.8) and 1048 deaths occurred. Approximately 3.1% of participants had no follow-up after the baseline visit. Younger (relative risk ratio (RRR): 1.14; 1.04 to 1.24), unmarried participants (RRR: 1.75; 1.45 to 2.11) and those with low household assets (RRR: 1.63; 1.44 to 1.85) had higher odds of being lost to follow-up. The RORs of sociodemographic factors with diabetes and hypertension did not statistically differ between baseline and sixth follow-up, suggesting minimal potential for bias in inference at follow-up. CONCLUSION: In this representative cohort of urban Indians, we found low attrition and minimal bias due to the loss to follow-up. Our cohort's inconsistent participation bias shows our retention strategies like open communication, providing health profiles, etc have potential benefits.

Eight versus twelve weeks of sofosbuvir-velpatasvir in treatment-naïve non-cirrhotic patients with chronic hepatitis C virus infection: Study protocol for a multicentric, open labelled, randomized, non-inferiority trial (RESOLVE trial).

BACKGROUND: Hepatitis C virus (HCV) is a common cause of liver cirrhosis and hepatocellular carcinoma. Globally, nearly 71 million people have chronic HCV infection, and approximately 399,000 dies annually. In patients without cirrhosis, HCV infection is treated with 12 weeks of sofosbuvir/velpatasvir combination. Results from available small, single-centre observational studies suggest that the sofosbuvir/velpatasvir combination given for 8 weeks may be as effective as the standard 12 weeks of treatment. We propose to compare the treatment response of 12 weeks versus 8 weeks of sofosbuvir/velpatasvir in non-cirrhotic people with chronic HCV infection. METHODS: This multicentric, randomized, open-label, non-inferiority trial will include 880 (2 arms x 440) treatment naïve, viraemic (HCV RNA >10,000 IU/mL), non-cirrhotic adults (age >18 years) with chronic hepatitis C. People who are at high-risk for HCV reinfection such as haemophiliacs, people who inject drugs, those on maintenance hemodialysis or having HIV will be excluded. The presence or absence of cirrhosis will be determined with a combination of history, examination, ultrasound, liver stiffness measured with transient elastography, APRI, FIB-4, and esophagogastroduodenoscopy. Participants will be randomized to receive either 8- or 12-week sofosbuvir/velpatasvir treatment. A blood specimen will be collected before starting the treatment (to determine the HCV genotype), after 4 weeks of treatment (for early virological response), and at 12 weeks after treatment discontinuation for SVR12. DISCUSSION: The study will provide data on the efficacy of 8 weeks of treatment as compared to the standard of care (12 weeks) in non-cirrhotic patients with chronic HCV infection. Treatment for a shorter duration may improve treatment compliance, reduce the cost of treatment, and ease the treatment implementation from a public health perspective. TRIAL REGISTRATION: Registered with Clinical Trial Registry of India (http://ctri.nic.in) Registration No. CTRI/2022/03/041368 [Registered on: 24/03/2022]-Trial Registered Prospectively.

Disparities in Drug-Eluting Stent Utilization in Patients With Acute ST-Elevation Myocardial Infarction: An Analysis of the National Inpatient Sample.

The superiority of drug-eluting stents (DES) compared with bare-metal stents (BMS) is well-established, but data regarding DES use in ST-elevation myocardial infarction (STEMI) as a function of race is limited. Our goal was to examine stent utilization patterns and disparities based on race, sex, and insurance status in patients with STEMI undergoing percutaneous coronary intervention. The National Inpatient Sample database was used to retrospectively compare DES vs BMS use in patients admitted with STEMI from 2009 to 2018. Multivariable logistic regression was performed to assess the independent predictors of DES use. DES utilization increased significantly from 62.8% in 2009 to 94.0% in 2018. However, African Americans were less likely to receive a DES (odds ratio [OR] .82, 95% confidence interval [CI] .77-.87) compared with Caucasians. Women were more likely to undergo DES implantation (OR 1.07, 95% CI 1.05-1.10). Patients insured by Medicaid (OR .84, 95% CI .80-.89) and those classified as Self-pay (OR .63, 95% CI .61-.66) were less likely to undergo DES implantation compared to those with private insurance (OR 1.33, 95% CI 1.29-1.38). Disparities based on race and insurance status continue to persist despite a significant increase in DES utilization in STEMI patients across the identified subgroups.

Kidney disease burden in an Asian Indian population: Effect of the new 2021 serum creatinine CKD-EPI equation.

AIMS: CKD-EPI (chronic kidney disease-epidemiological) serum creatinine equation is widely accepted for calculating estimated glomerular filtration rate (eGFR). The effect of transitioning from the older 2009 to the newer race-independent 2021 CKD-EPI equation on the estimated kidney disease burden (eKDB) was studied in an Asian-Indian population. METHODS: The study included 1156 adults, the two equations were compared for agreement (Bland-Altman and Cohen's kappa) and concordance (Lin's correlation and test for proportions). RESULTS: The 2021 CKD-EPI increased the eGFR (positive-bias), independent of age-group, gender or presence of type 2 diabetes mellitus (T2DM) and hypertension (HTN). Thus, the eKDB was significantly decreased by 2021 CKD-EPI equation. The agreement was highest for the age-group 31-40 years (95.8 % versus 87.5 % for > 50 years). Besides, the eGFR category was shifted from G3 to G1 in 8.2 % (95 % CI: 6.8-9.9) individuals by 2021 CKD-EPI. The effect of transition on eKDB was greater in individuals > 50 years (7.4 %) or with HTN (6.3 %). CONCLUSION: In comparison to the old equation, the 2021 CKD-EPI equation increased the eGFR, lowering the eKDB in this Asian-Indian cohort. The degree of lowering was affected by age-group, and presence of T2DM /HTN, but independent of gender.

Serum Level of Alanine- and Aspartate-Aminotransferase Levels in Newborns in India.

Background: Serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) ≤40 IU/L is normal. This cutoff, although determined in adults, is widely used for newborns. We studied the reference ranges for ALT and AST in newborns in India. Methods: We prospectively included babies with gestational age (GA) between 34 and 41weeks and birth weight (BW) ≥ 1500 g. We excluded the babies who either themselves or their mother had risk factors, which could cause elevation of serum levels of liver enzymes. Serum ALT and AST were measured in venous cord blood. The estimated percentile curves for ALT and AST, for BW and GA covariates, were drawn with General Additive Model for Location Scale and Shape (GAMLSS) with Box-Cox Power Exponential (BCPE). Results: Five-hundred thirty-seven babies (Boys 53.3%; GA 34-36 wks 19.7%; appropriate for GA 74.9%; BW < 2500 g 20.5%) were included. Overall, mean [SD] serum ALT and AST were 4412 IU/L and 5218 IU/L, respectively. The serum AST was significantly higher than the ALT level, regardless of gender, BW, GA, or fetal growth categories. The percentile curve against GA remained flat for ALT, although it showed a slight rise for AST. Serum levels of ALT and AST plotted against BW were also similar and showed an increase up to 2000 g and then remained stationary after that. Conclusion: The serum levels of ALT and AST up to 44 IU/L and 52 IU/L, respectively, can be taken as normal in newborns with BW ≥ 2000 g or GA ≥34 weeks.

Patterns of multimorbidity in India: A nationally representative cross-sectional study of individuals aged 15 to 49 years.

There is a dearth of evidence on the epidemiology of multimorbidity in low- and middle-income countries. This study aimed to determine the prevalence of multimorbidity in India and its variation among states and population groups. We analyzed data from a nationally representative household survey conducted in 2015-2016 among individuals aged 15 to 49 years. Multimorbidity was defined as having two or more conditions out of five common chronic morbidities in India: anemia, asthma, diabetes, hypertension, and obesity. We disaggregated multimorbidity prevalence by condition, state, rural versus urban areas, district-level wealth, and individual-level sociodemographic characteristics. 712,822 individuals were included in the analysis. The prevalence of multimorbidity was 7·2% (95% CI, 7·1% - 7·4%), and was higher in urban (9·7% [95% CI, 9·4% - 10·1%]) than in rural (5·8% [95% CI, 5·7% - 6·0%]) areas. The three most prevalent morbidity combinations were hypertension with obesity (2·9% [95% CI, 2·8% - 3·1%]), hypertension with anemia (2·2% [95% CI, 2·1%- 2·3%]), and obesity with anemia (1·2% [95% CI, 1·1%- 1·2%]). The age-standardized multimorbidity prevalence varied from 3·4% (95% CI: 3·0% - 3·8%) in Chhattisgarh to 16·9% (95% CI: 13·2% - 21·5%) in Puducherry. Being a woman, being married, not currently smoking, greater household wealth, and living in urban areas were all associated with a higher risk of multimorbidity. Multimorbidity is common among young and middle-aged adults in India. This study can inform screening guidelines for chronic conditions and the targeting of relevant policies and interventions to those most in need.

Association of kidney functions with a cascade of care for diabetes and hypertension in two geographically distinct Indian cohorts.

AIM: Type 2 diabetes (T2DM) and hypertension (HTN) are the main modifiable risk factors of chronic kidney disease (CKD), among the known traditional and non-traditional risk factors. METHODS: We determined the prevalence and care-cascade of these modifiable CKD-risk factors and their association with socioeconomic status in adjoining Lucknow and Puducherry cities of India. RESULTS: 439 participants reported no CKD were recruited. Serum analysis revealed an Estimated Glomerular Filtration Rate (eGFR) ≥ 90 ml/min/1.73 m2 in 60.36% of the population. Of them, 55.85% had HTN and/or T2DM as CKD-risk factors; however, less than half of this population was unaware of their CKD-risk status. Awareness and treatment were significantly higher in Puducherry and were associated with literacy, occupation, and residence place. Although the CKD-risk population was about two times higher in Puducherry than Lucknow, the populations with mild-low eGFR were comparable in the two regions. Moreover, in Lucknow, mild-low eGFR and low awareness were more prevalent among the younger participants (<30 years), relative to Puducherry. CONCLUSIONS: Despite a higher prevalence of CKD-risk factors in Puducherry, populations with mild-low eGFR were comparable to Lucknow. More heightened awareness and better care cascade for CKD-risk factors in Puducherry may prevent or delay eGFR reduction.

Migrated PEG balloon causing acute pancreatitis.

Percutaneous endoscopic gastrostomy (PEG) is a common procedure for an unsafe swallow or inability to maintain oral nutrition. When a PEG tube needs replacement, a balloon gastrostomy tube is usually placed through the same, well formed and mature tract without endoscopy. We present a patient with a rare complication related to the balloon gastrostomy tube, to raise awareness and minimise the risk of this complication in the future. A 67-year-old female patient presented to the emergency department with severe abdominal pain and vomiting. Her gastrostomy feeding tube displaced inwards, up to the feeding-balloon ports complex. After investigations, she was diagnosed with acute pancreatitis. MR cholangiopancreatography (MRCP) confirmed features of this and, interestingly, an inflated gastrostomy balloon could be seen abutting the major and minor ampullae. The patient confirmed that the PEG tube had been changed to a balloon gastrostomy tube some time ago, but the external fixation plate (external bumper) had been loose lately, with the tube repeatedly moving inwards. She admitted that, 1 day before admission, the PEG tube had receded into the stomach and could not be pulled out with a gentle tug. After reviewing the MRCP images, the balloon was deflated, and the tube retracted. Once correctly placed, the balloon was reinflated, and her symptoms improved over the next 2 days.

Development and Prospective Validation of the Levothyroxine Dose Prediction Model in Primary Hypothyroidism.

Multiple visits are needed to achieve euthyroidism on levothyroxine in newly detected primary hypothyroidism. We aimed to develop a levothyroxine dose estimation algorithm for primary hypothyroidism. Adults with newly diagnosed hypothyroidism were enrolled prospectively, first in the training cohort, followed by the validation cohort separated by time and person. We developed a predictive algorithm from Training Cohort and validated the model in Validation Cohort. Training Cohort: In this cohort, 358 subjects (259 women and 99 men) were enrolled. The median duration needed to achieve euthyroidism was 4±0.5 months. The mean levothyroxine daily dose was 60.5±34.1 µg. Data of euthyroid subjects within 6 months of treatment initiation and age range 18-65 years were used for algorithm development. In the multivariable linear regression algorithm, pretreatment serum thyrotropin level, and sex formed the best-fit predictive model (adjusted R2 0.73, p-value <0.001). Validation Cohort: Eighty-four subjects (61 women and 23 men) were enrolled and started on an estimated levothyroxine dose derived from the developed prediction model. On the first follow-up on treatment, 34/50 participants achieved euthyroidism (68%) at 1.5 months. In conclusion, the proposed prediction model for levothyroxine dose estimation effectively achieves early euthyroidism in two-third subjects in the age range of 18-65 years.

A cross-sectional study of cardiovascular disease risk clustering at different socio-geographic levels in India.

Despite its importance for the targeting of interventions, little is known about the degree to which cardiovascular disease (CVD) risk factors cluster within different socio-geographic levels in South Asia. Using two jointly nationally representative household surveys, which sampled 1,082,100 adults across India, we compute the intra-cluster correlation coefficients (ICCs) of five major CVD risk factors (raised blood glucose, raised blood pressure, smoking, overweight, and obesity) at the household, community, district, and state level. Here we show that except for smoking, the level of clustering is generally highest for households, followed by communities, districts, and then states. On average, more economically developed districts have a higher household ICC in rural areas. These findings provide critical information for sample size calculations of cluster-randomized trials and household surveys, and inform the targeting of policies and prevention programming aimed at reducing CVD in India.

Burden of injury along the development spectrum: associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017.

BACKGROUND: The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. METHODS: Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. RESULTS: For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. CONCLUSIONS: The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.

District level inequality in reproductive, maternal, neonatal and child health coverage in India.

BACKGROUND: As India already missed maternal and child health related millennium development goals, the maternal and child health outcomes are a matter of concern to achieve sustainable development goals (SDGs). This study is focused to assess the gap in coverage and inequality of various reproductive, maternal, neonatal and child health (RMNCH) indicators in 640 districts of India, using data from most recent round of National Family Health Survey. METHODS: A composite index named Coverage Gap Index (CGI) was calculated, as the weighted average of eight preventive maternal and child care interventions at different administrative levels. Bivariate and spatial analysis were used to understand the geographical diversity and spatial clustering in districts of India. A socio-economic development index (SDI) was also derived and used to assess the interlinkages between CGI and development. The ratio method was used to assess the socio-economic inequality in CGI and its component at the national level. RESULTS: The average national CGI was 26.23% with the lowest in Kerala (10.48%) and highest in Nagaland (55.07%). Almost half of the Indian districts had CGI above the national average and mainly concentrated in high focus states and north-eastern part. From the geospatial analysis of CGI, 122 districts formed hotspots and 164 districts were in cold spot. The poorest households had 2.5 times higher CGI in comparison to the richest households and rural households have 1.5 times higher CGI as compared to urban households. CONCLUSION: Evidence from the study suggests that many districts in India are lagging in terms of CGI and prioritize to achieve the desired level of maternal and child health outcomes. Efforts are needed to reduce the CGI among the poorest and rural resident which may curtail the inequality.

Hypertension prevalence as a function of different guidelines, India.

OBJECTIVE: To determine the effect of different hypertension management guidelines and of basing diagnosis on a single reading of blood pressure on the hypertension prevalence in the Indian population. METHODS: We performed a secondary analysis of data acquired as part of the Fourth national family health survey, 2015 to 2016, over all districts in India. We calculated the proportion of the population within three different age groups (18 to 34, 35 to 49 and 18 to 49 years of age) with raised blood pressure according to six different guidelines, and how prevalence changed if diagnoses were based on a single blood pressure measurement. FINDINGS: We observed that the Government of India and the American College of Cardiology/American Heart Association guidelines consistently yielded the lowest and highest prevalence of raised blood pressure; in the combined age group, we calculated the proportion of the population categorized as having raised blood pressure as 7.5% (95% confidence interval (CI): 7.4 to 7.7) and 40.1% (95% CI: 39.7 to 40.7), respectively. When basing diagnosis on a single reading of blood pressure only, a total of 56 million individuals would be erroneously categorized as hypertensive following the Government of India guidelines. We also showed that prevalence of hypertension in India varies with guidelines adhered to; in the combined age group, the national hypertension prevalence was three times higher when following the American College of Cardiology/American Heart Association compared with the Government of India guidelines. CONCLUSION: To optimize current clinical practice, health-care providers need to follow universally agreed, evidence-based methods of diagnosing hypertension.

Nationally representative household survey data for studying the interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India.

In this article, we describe the dataset used in our study entitled "The interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India: A cross-sectional study of 2.4 million adults", recently published in Social Science & Medicine, and present supplementary analyses. We used data from three different household surveys in India, which are representative at the district level. Specifically, we analyzed pooled data from the District-Level Household Survey 4 (DLHS-4) and the second update of the Annual Health Survey (AHS), and separately analyzed data from the National Family Health Survey (NFHS-4). The DLHS-4 and AHS sampled adults aged 18 years or older between 2012 and 2014, while the NFHS-4 sampled women aged 15-49 years and - in a subsample of 15% of households - men aged 15-54 years in 2015 and 2016. The measures of individual-level socio-economic status that we used in both datasets were educational attainment and household wealth quintiles. The measures of district-level development, which we calculated from these data, were i) the percentage of participants living in an urban area, ii) female literacy rate, and iii) the district-level median of the continuous household wealth index. An additional measure of district-level development that we used was Gross Domestic Product per capita, which we obtained from the Planning Commission of the Government of India for 2004/2005. Our outcome variables were diabetes, hypertension, obesity, and current smoking. The data were analyzed using both district-level regressions and multilevel modelling.

Anaemia among men in India: a nationally representative cross-sectional study.

BACKGROUND: Population-based studies on anaemia in India have mostly focused on women and children, with men with anaemia receiving much less attention despite anaemia's adverse effect on health, wellbeing, and economic productivity. This study aimed to determine the national prevalence of anaemia among men in India; how the prevalence of anaemia in men varies across India among states and districts and by sociodemographic characteristics; and whether the geographical and sociodemographic variation in the prevalence of anaemia among men is similar to that among women to inform whether anaemia reduction efforts for men should be coupled with existing efforts for women. METHODS: In this cross-sectional study, we analysed data from a nationally representative household survey carried out from January, 2015, to December, 2016, among men aged 15-54 years and women aged 15-49 years in all 29 states and seven Union Territories of India. Haemoglobin concentration was measured using the portable HemoCue Hb 201+ (HemoCue AB, Ängelholm, Sweden) and a capillary blood sample. In addition to disaggregating anaemia prevalence (separately in men and women) by state and age group, we used mixed-effects Poisson regression to determine individual-level and district-level predictors of anaemia. FINDINGS: 106 298 men and 633 305 women were included in our analysis. In men, the prevalence of any anaemia was 23·2% (95% CI 22·7-23·7), moderate or severe anaemia was 5·1% (4·9-5·4), and severe anaemia was 0·5% (0·5-0·6). An estimated 21·7% (20·9-22·5) of men with any degree of anaemia had moderate or severe anaemia compared with 53·2% (52·9-53·5) of women with any anaemia. Men aged 20-34 years had the lowest probability of having anaemia whereas anaemia prevalence among women was similar across age groups. State-level prevalence of any anaemia in men varied from 9·2% (7·7-10·9) in Manipur to 32·9% (31·0-34·7) in Bihar. The individual-level predictors of less household wealth, lower education, living in a rural area, smoking, consuming smokeless tobacco, and being underweight and the district-level predictors of living in a district with a lower rate of primary school completion, level of urbanisation, and household wealth were all associated with a higher probability of anaemia in men. Although some important exceptions were noted, district-level and state-level prevalence of anaemia among men correlated strongly with that among women. INTERPRETATION: Anaemia among men in India is an important public health problem. Because of the similarities in the patterns of geographical and sociodemographic variation of anaemia between men and women, future efforts to reduce anaemia among men could target similar population groups as those targeted in existing efforts to reduce anaemia among women. FUNDING: Alexander von Humboldt Foundation.

The interaction between district-level development and individual-level socioeconomic gradients of cardiovascular disease risk factors in India: A cross-sectional study of 2.4 million adults.

BACKGROUND: Diabetes, hypertension, and obesity tend to be positively associated with socio-economic status in low- and middle-income countries (LMICs). It has been hypothesized that these positive socio-economic gradients will reverse as LMICs continue to undergo economic development. We use population-based cross-sectional data in India to examine how a district's economic development is associated with socio-economic differences in cardiovascular disease (CVD) risk factor prevalence between individuals. METHODS: We separately analyzed two nationally representative household survey datasets - the NFHS-4 and the DLHS-4/AHS - that are representative at the district level in India. Diabetes was defined based on a capillary blood glucose measurement, hypertension on blood pressure measurements, obesity on measurements of height and weight, and current smoking on self-report. Five different measures of a district's economic development were used. We analyzed the data using district-level regressions (plotting the coefficient comparing high to low socio-economic status against district-level economic development) and multilevel modeling. RESULTS: 757,655 and 1,618,844 adults participated in the NFHS-4 and DLHS-4/AHS, respectively. Higher education and household wealth were associated with a higher probability of having diabetes, hypertension, and obesity, and a lower probability of being a current smoker. For diabetes, hypertension, and obesity, we found that a higher economic development of a district was associated with a less positive (or even negative) association between the CVD risk factor and education. For smoking, the association with education tended to become less negative as districts had a higher level of economic development. In general, these associations did not show clear trends when household wealth quintile was used as the measure of socio-economic status instead of education. CONCLUSIONS: While this study provides some evidence for the "reversal hypothesis", large-scale longitudinal studies are needed to determine whether LMICs should expect a likely reversal of current positive socioeconomic gradients in diabetes, hypertension, and obesity as their countries continue to develop economically.

The prevalence of concurrently raised blood glucose and blood pressure in India: a cross-sectional study of 2035 662 adults.

OBJECTIVE: To inform integrated, person-centered interventions, this study aimed to determine the prevalence of having both a raised blood glucose and blood pressure (BP) in India, and its variation among states and population groups. METHODS: We pooled data from three large household surveys (the Annual Health Survey, District Level Household and Facility Survey, and National Family Health Survey), which were carried out between 2012 and 2016 and included adults aged at least 15 years. Raised blood glucose was defined as having a plasma glucose reading at least 126 mg/dl if fasted and at least 200 mg/dl if not fasted, and raised BP as a SBP of at least 140 mmHg or DBP of at least 90 mmHg. The prevalence of having a concurrently raised blood glucose and BP (comorbid) was age-standardized to India's national population structure, and disaggregated by sex, age group, BMI group, rural-urban residency, household wealth quintile, education, state, and region. RESULTS: The age-standardized prevalence of this comorbidity was 1.5% [95% confidence interval (CI), 1.5-1.5], and varied by a factor of 8.3 between states. Among those aged at least 50 years, 4.5% (95% CI, 4.3-4.7) with a BMI less than 23.0 kg/m and 16.1% (95% CI, 15.0-17.4) with a BMI at least 30 kg/m were comorbid. Age, BMI, household wealth quintile, male sex, and urban location were all positively associated with this comorbidity. CONCLUSION: A substantial proportion of India's population had both a raised blood glucose and BP, calling for integrated interventions to reduce cardiovascular disease risk. We identified large variation among states, age groups, and by rural-urban residency, which can inform health system planning and the targeting of interventions, such as appropriate screening programs, to those most in need.