Abstract
South Asians, comprising almost one fourth of the world population, are at higher risk of type 2 diabetes mellitus, hypertension, cardiovascular disease, and CKD compared with other ethnic groups. This has major public health implications in South Asia and in other parts of the world to where South Asians have immigrated. The interplay of various modifiable and nonmodifiable risk factors confers this risk. Traditional models of cardiometabolic disease progression and CKD evaluation may not be applicable in this population with a unique genetic predisposition and phenotype. A wider understanding of dietary and lifestyle influences, genetic and metabolic risk factors, and the pitfalls of conventional equations estimating kidney function in this population are required in providing care for kidney diseases. Targeted screening of this population for metabolic and vascular risk factors and individualized management plan for disease management may be necessary. Addressing unhealthy dietary patterns, promoting physical activity, and medication management that adheres to cultural factors are crucial steps to mitigate the risk of cardiovascular disease and CKD in this population. In South Asian countries, a large rural and urban community-based multipronged approach using polypills and community health workers to decrease the incidence of these diseases may be cost-effective.
Keywords: vascular disease, ESKD, CKD, diet
Introduction
South Asia (including Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka), home to 1.9 billion people, represents one of the most populous and fastest-growing regions of the world.1 Since health care spending in South Asia is only 3.1% of the gross domestic product, chronic diseases such as cardiovascular disease and CKD strain these developing economies.2 Several challenges exist in delivering health care services in these countries, including lack of access to quality health care, regional inequality, and lack of financial risk protection from catastrophic health care expenditures.3 Prolonged life expectancy, sedentary lifestyles, unhealthy dietary habits, air pollution, and chronic infections may lead to a higher prevalence of chronic diseases. In this review, we summarize the existing literature on why South Asians may experience a higher risk for metabolic and vascular diseases and consequent CKD. We also aim to address how measures of kidney function and management of CKD need to be tailored to this population.
What Drives Vascular Disease and CKD in South Asians?
Vascular disease, which contributes to both cardiovascular disease and CKD, is a leading cause of mortality in South Asians and is mediated through diabetes mellitus and hypertension.4,5 South Asians tend to develop type 2 diabetes mellitus on an average 5–10 years earlier than White Europeans.6,7 South Asians living in the United Kingdom, the United States, and Canada have been shown to have a higher prevalence of diabetes mellitus than the local population living in these countries.8–11 The immigrant Bangladeshi population living in England and Wales has a four-fold greater risk of type 2 diabetes mellitus compared with the local population (Table 1).12 Interestingly, in an observational cohort study of 3444 patients with CKD in British Columbia, South Asians had a faster rate of progression to kidney failure but better survival than White patients.13 Although the reason for this was not clear, the South Asian cohort was significantly younger than the White patient cohort, which may have contributed to lower mortality. There have also been reports of a higher prevalence of diabetes and cardiovascular disease in people of South Asian ethnicity in Singapore, Fiji, and Guyana, although the number of studies has been fewer.14–18 Elevated diabetes and cardiovascular risks in South Asians are derived from several nonmodifiable and modifiable risk factors (Figure 1).
Table 1.
Crude and age-standardized incidence of type 2 diabetes mellitus per 1000 person-years by ethnicity and sex in England and Wales12
| Ethnicity | Women | Men | ||||
|---|---|---|---|---|---|---|
| Person-Yr | Crude Rate | Age-Standardized Rate (95% CI) | Person-Yr | Crude Rate | Age-Standardized Rate (95% CI) | |
| White/not recorded | 8,176,581 | 4.16 | 4.13 (4.08 to 4.17) | 7,900,533 | 5.33 | 5.31 (5.26 to 5.36) |
| Indian | 31,535 | 6.41 | 7.90 (6.73 to 9.08) | 28,127 | 8.64 | 9.60 (8.35 to 10.85) |
| Pakistani | 18,735 | 8.49 | 11.19 (9.16 to 13.21) | 19,634 | 9.88 | 13.22 (11.24 to 15.21) |
| Bangladeshi | 6683 | 11.37 | 18.20 (12.93 to 23.47) | 6944 | 12.82 | 19.34 (14.28 to 24.4) |
| Other Asian (excluding Chinese) | 13,056 | 3.45 | 6.08 (2.73 to 9.44) | 9588 | 7.09 | 8.09 (6.03 to 10.15) |
CI, confidence interval.
Figure 1.
Overview of modifiable and nonmodifiable risk factors for vascular disease and CKD in South Asians.
Nonmodifiable Risk Factors: A Unique Phenotype of Dysglycemia
The interplay of several nonmodifiable factors such as genetic predisposition for dysglycemia, low birth weight, and predisposition to central adiposity is associated with an elevated risk of cardiovascular disease and CKD.19 The adipose tissue overflow hypothesis speculates that there is a lower capacity for storing subcutaneous fat in South Asians, which results in a larger proportion of visceral fat storage.20,21 Visceral fat is more likely to undergo lipolysis, which can result in excess lipid accumulation in the liver, causing impaired insulin signaling and proinflammatory changes.22 South Asians living in the United States have higher levels of insulin resistance at a given body mass and can have rapid β-cell failure, which elevates their vascular risk independent of visceral adiposity.23–25 Normal-weight South Asians have higher levels of cardiometabolic abnormalities compared with other ethnic groups, after adjusting for the mean visceral fat area.26 Other factors that may mediate insulin resistance in South Asians include lower lean body mass, lower genetically determined β-cell capacity, and increased intrahepatic fat deposition.27–29 A higher fat-to-muscle ratio for a given body mass index (BMI) may result in greater levels of insulin resistance.30 Genetically lower β-cell function likely contributes more than insulin resistance to impaired fasting glucose and impaired glucose tolerance, as shown in the Diabetes Community Lifestyle Improvement Program in Chennai, India.31 Normal-weight people of Indian origin may have increased hepatic insulin resistance, which can lead to increased gluconeogenesis, impaired fasting glucose, and hepatic steatosis.32 These factors influenced the American Diabetes Association to recommend lowering the threshold for diabetes mellitus type 2 screening to a BMI of 23 kg/m2 in Asian Americans.33
About one third of live births in the South Asian region were reported to be low birth weight by the World Health Organization (WHO), resulting in lower nephron mass and a higher lifetime risk of kidney failure.34–36 The risk factors for low birth weight include genetic factors, maternal malnutrition, pregnancy complications, place of residence (urban versus rural), level of education, and other socioeconomic factors.37 Low birth weight may be considered as a modifiable or nonmodifiable risk factor, depending on the etiology.
There is a paucity of research investigating genetic risk factors for insulin resistance and CKD in South Asians. In a recent genome-wide association study, 21 genetic loci were identified and were significantly associated with type 2 diabetes mellitus in people of South Asian ancestry (n=50,533) compared with European ancestry (n=231,420).38 The authors also developed a South Asian–specific polygenic risk score for type 2 diabetes mellitus, which risk stratifies South Asians into quartiles based on diabetes risk, with the top quartile having a risk of 4.03 (95% confidence interval [CI], 3.36 to 4.85; P<0.001) relative to the bottom quartile, and they report that this risk stratification has greater predictive power for diabetes in South Asians than Europeans.38 The authors performed cross-ancestry comparisons of these 21 genetic loci with East Asian (n=135,780), African (n=32,037), and Hispanic (n=20,499) populations and discovered that many genetic loci may represent risk factors unique to the South Asian population.38 More genetic studies will be needed to ascertain the utility of targeted screening of South Asian populations with elevated genetic risk.
Modifiable Risk Factors: High Carbohydrate-to-Protein Intake Ratio
Metabolic and vascular diseases are also influenced by modifiable risk factors such as level of activity, smoking, and diet. The effect of behavioral factors and diet on diabetes mellitus and cardiovascular risk in South Asians who immigrated (and their progeny) to the United States from India is being evaluated in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) cohort.39 The MASALA study is the only prospective, longitudinal, community-based study consisting of 1164 participants (aged 40–84 years and without cardiovascular disease at enrollment) of South Asian ethnicity living in San Francisco and Chicago. MASALA was designed for cross-ethnic comparison with the Multi-Ethnic Study of Atherosclerosis (MESA) cohort, which included White Americans, Black Americans, Hispanic Americans, and Chinese Americans without cardiovascular disease.40
The South Asians in the MASALA cohort are less physically active than all the ethnic groups in the MESA cohort. In the MASALA study, the researchers found three predominant dietary patterns among the population of South Asian descent: an animal protein–rich dietary pattern, a high-fat vegetarian pattern, and a low-fat vegetarian pattern.41 The diet rich in animal protein was associated with higher BMI, waist-to-hip ratio, total cholesterol, and low-density lipoprotein cholesterol. A predominantly vegetarian diet but with fried snacks, sweets, and high-fat dairy led to greater insulin resistance and lower high-density cholesterol. A low-fat vegetarian diet consisting of ample fruits, vegetables, nuts, and legumes had the most favorable metabolic profile and a decreased association with hypertension. Sodium intake is another modifiable aspect in the South Asian diet (mean sodium intake of South Asian countries is about 10 g/d, whereas the WHO's recommended intake is <5 g/d).42 The prevalence of smoking is significantly higher in South Asian men (31.6%–60%) than women (2.2%–4.02%).43 Communities with higher smoking rates had more poverty, lower educational background, and were often located in rural areas.43
In addition to risk factor modification, evaluating vascular sites (such as carotid intimal thickness, pulse wave reflections, and coronary artery calcification measurements) may help detect subclinical atherosclerotic cardiovascular disease.44,45 Ethnic differences between South Asians, White patients, and Black patients living in the United States showed higher pulse wave reflections in South Asians, a marker of arterial stiffness.46 Further investigation is needed to determine the optimal medical management in patients with subclinical atherosclerotic disease and its effect on long-term cardiovascular outcomes.
Prevalence of Hypertension, Cardiovascular Disease, and CKD in the South Asian Population
Several studies have attempted to assess the burden of hypertension and the development of subsequent CKD and/or proteinuria in ethnic South Asians. A cross-sectional study performed in both urban and rural areas of Delhi, India, showed an increase in the prevalence of hypertension from 23% to 42% in the past 20 years.47 A meta-analysis showed that the overall prevalence of hypertension in the South Asian subcontinent is approximately 27%.48 The Cardiometabolic Risk Reduction in South Asia (CARRS) cohort, which had over 17,000 individuals in Karachi, Chennai, and Delhi, found that the prevalence of hypertension was the highest in Delhi (37%) and the lowest in Karachi (24%).49 They also found that awareness about hypertension was very low, and its occurrence was associated with older age, lower socioeconomic status, obesity, and dysglycemia.
A United Kingdom–based study showed earlier onset and higher prevalence of hypertension in South Asian (11.3%) and Black (11.1%) patients compared with White patients (8.2%).50 The study also found that severe CKD (stages 4–5) occurred at higher rates in South Asian patients after adjustment for age and other clinical markers.50 Earlier onset of hypertension despite lower BMI has been reported in foreign-born South Asians living in a major US city (as compared with non-Hispanic White patients).51 The ADDITION-Leicester study, a United Kingdom–based multiethnic study, found among a population of 6749 patients, one third of them (1894 patients of which 372 were South Asians) had undiagnosed hypertension.52 In this population, South Asians had a higher likelihood of microalbuminuria and a trend toward a lower eGFR as compared with White Europeans. The authors concluded that dedicated efforts are needed to screen for hypertension in South Asians given the high risk of microalbuminuria and CKD.
The prevalence of CKD, mainly due to diabetes and hypertension (as reported by the Indian CKD registry), in South Asia is estimated to be between 10.2% and 21.2 %.53,54 Per the Indian CKD registry, chronic glomerulonephritis occurred in approximately 14% of patients.54 In Sri Lanka and the Andhra Pradesh region of India, CKD of unknown etiology (CKDu) with a predominantly interstitial pattern of kidney injury has been increasingly reported (with prevalence as high as 13% in some districts of Andhra Pradesh).55 Possible risk factors include contaminated drinking water, exposure to agrochemicals, heat stress, and air pollution, but none have been proven to be causative.55 One study showed that Indians were at a higher risk of developing AKI after cardiac surgery as compared with Chinese patients.56 The authors hypothesized that underlying atherosclerosis of the renal vasculature predisposed South Asians to develop postoperative AKI.
CKD prevalence in the MASALA cohort (South Asians living in US cities, n=748) was compared with the CARRS cohort (South Asians living in Chennai and Delhi, India, n=5294).57 CKD was defined in both studies as a single urine albumin-to-creatinine ratio ≥30 mg/g or a single calculation of estimated glomerular filtration rate using the Chronic Kidney Disease Epidemiology Collaboration (eGFRCKD-EPI) of <60 ml/min per 1.73 m2. The age-adjusted prevalence of CKD in the MASALA cohort was 14% versus 10.8% in the CARRS cohort (P<0.05), and the prevalence of albuminuria was 13.8% in MASALA versus 8.7% in CARRS.57 Although age-adjusted prevalence rates of albuminuria in men were comparable, the prevalence of albuminuria in women in the MASALA cohort was significantly higher. However, the CARRS cohort, which was younger and had a lower level of education, had more severe CKD and a higher likelihood of uncontrolled diabetes mellitus and hypertension. Only 9% of patients in the CARRS group were prescribed angiotensin-converting enzyme inhibitors (ACEI) or angiotensin II receptor blockers (ARB) as compared with 29% in the MASALA cohort. This difference may be due to poor access to health care, especially subspecialty care, as well as lower health literacy among the CARRS population, and it highlights the need for better screening and management of vascular disease risk factors. Microalbuminuria is also more common in the South Asian population in Newcastle, United Kingdom, compared with the European origin population, which is a strong risk factor for the progression of CKD and cardiovascular disease.58 Given the higher risk of CKD in the South Asian population, it becomes essential to accurately estimate kidney function.
Estimation of GFR in the South Asian Population
Correctly identifying CKD in South Asian patients is paramount to help slow down its progression. Clinical laboratories in South Asia do not routinely report on eGFR, although the practice may be improving. The existing Modification of Diet in Renal Disease (eGFRMDRD) and eGFRCKD-EPI equations have not been validated in the South Asian population.
A cross-sectional study of 581 adults from Pakistan aged 40 years and older was conducted to compare the performances of the eGFRMDRD and eGFRCKD-EPI equations against body surface area–adjusted inulin clearance (mGFR).59 Twenty percent of the patients were selected from the nephrology clinic with a serum creatinine >2 mg/dl, presumed to have CKD, and the rest were selected from the general population. Median mGFR, eGFRMDRD, and creatinine-based eGFRCKD-EPI were 91.0 (interquartile range [IQR], 36.7), 100.5 (IQR, 40.4), and 104.4 (IQR, 25.4) ml/min per 1.73 m2, respectively. Both the MDRD and CKD-EPI equations overestimated mGFR in this population. A modified CKD-EPI equation named CKD-EPI Pakistan (eGFRCKD-EPI(PK)) was derived using linear regression models. The Pakistani correction factor for the CKD-EPI equation can be rendered as eGFRCKD-EPI(PK)=0.686 × eGFRCKD-EPI1.059. This correction factor improved accuracy measured using P20 and P30, which refer to the percentage of eGFR values that differ by <20% and 30% of the mGFR values, respectively. P20 was 65.9% (95% CI, 62.1% to 69.7%) versus 57.8% (95% CI, 53.8% to 61.8%; P<0.001), and P30 was 81.6% (95% CI, 78.4% to 84.8%) versus 76.1% (95% CI, 72.7% to 79.5%; P<0.001) for the CKD-EPIPK and CKD-EPI equations, respectively. It was common to find variations of the eGFRCKD-EPI(PK) from mGFR among the extremes of BMI. In a cross-sectional study of 557 participants aged 40 years in Pakistan, the use of cystatin C–based CKD-EPI equations (eGFRcys and eGFRcr-cys) did not offer substantial advantages over the eGFRCKD-EPI(PK) equation.60 Although more studies are required to validate the CKD-EPIPK equation, a wider understanding of subpopulation norms could steer clinicians and patients toward risk mitigation at higher levels of estimated kidney function. For example, a clinician may want to use the CKD-EPIPK for eGFR estimation in South Asians or may choose to convey alarm for South Asians with eGFR around 75 ml/min per 1.73 m2 using MDRD or CKD-EPI equations, rather than awaiting a threshold of eGFR <60 ml/min per 1.73 m2, due to their tendency to overestimate GFR.
Management of CKD in a South Asian Patient
A multipronged approach that includes lifestyle, medication, and close monitoring is crucial to mitigating vascular risk factors (Table 2). The dietary practices in South Asia have a strong historical, cultural, and religious basis. Recommendations on lifestyle modifications (including healthier cooking and exercise) need to be sensitive to religious observances in South Asians (i.e. prolonged fasting and glycemic control in diabetic Muslim and Jain patients).72,73 Because the South Asian diet is rich in refined carbohydrates, some authors have proposed nutrition counseling and the reintroduction of whole-grain carbohydrates such as amaranth, barley, pearl millet, finger millet, sorghum, and other ancient grains.61 These whole grains have lower carbohydrate content and may have protective effects against central adiposity and insulin resistance.61 Consumption of Western foods rich in animal protein may also be detrimental to South Asians, as shown in the MASALA study.41 Prospective cohort studies have shown that red meat consumption may be associated with a 40% higher risk of CKD, whereas consumption of legumes, nuts, and low-fat dairy is associated with approximately 17-28% lower risk of CKD.74,75
Table 2.
Management of vascular risk in the South Asian patient
| Prompt diagnosis | Screening for albuminuria57 |
| Consider using correction factors to improve accuracy of eGFR59 | |
| Lifestyle modification | Healthier cooking—less fried, bready snacks/sweets, and high-fat dairy41 Use of culturally acceptable whole grains in diet61 |
| Exercise (∼230 min of moderate physical activity)62 | |
| Smoking cessation | |
| Medications to reduce complications of diabetes mellitus | Sulfonylureas—cost effective, but effect may be short lived63 |
| Thiazolidinediones—increase insulin sensitivity in South Asians64 | |
| Metformin—lowers glucose and enhances β cell function in South Asians65,66 | |
| DPP-4 inhibitors—although studied in East Asians (not South Asians), this class may lower insulin resistance and enhance first-phase insulin secretion67,68 | |
| GLP-1 agonists—lowers blood glucose similarly to Western European and White patients69 | |
| SGLT-2 inhibitors—can effectively reduce glucose, body weight, and cardiovascular risk69,70 | |
| ACEIs/ARBs—hypertension management and reduction in CKD progression and cardiovascular events, although more data are needed specifically in South Asians71 |
DPP-4, dipeptidyl peptidase 4; GLP-1, glucagon-like peptide-1; SGLT-2, sodium-glucose cotransporter-2; ACEIs, angiotensin-converting enzyme inhibitors; ARBs, angiotensin II receptor blockers.
The subgroups that are at the highest risk of physical inactivity include South Asians who are female, skilled workers/professionals, and those with a higher level of education.76 In the MASALA study, having network members who were friends or family who exercised along with the study participants increased the moderate-to-vigorous leisure time physical activity for South Asian men.77 South Asians may need to undertake more physical activity (approximately 230 minutes of moderate physical activity per week) compared with White Europeans (approximately 150 minutes of moderate physical activity per week) to confer a similar cardiometabolic risk profile.62
In addition to increasing patient awareness, further training of health care workers in South Asian countries is critical to improving health outcomes. The WHO has estimated that South Asia has one of the lowest densities of skilled health care workers in the world.78 Table 3 shows the number of doctors and nurses or midwives per 10,000 population in South Asian countries, as estimated by the WHO Global Health Workforce Statistics.79 Owing to the skilled health care worker shortage, some studies have been conducted using community health care workers in rural settings. The Control of Blood Pressure and Risk Attenuation—Bangladesh, Pakistan, and Sri Lanka (COBRA-BPS) study evaluated the role of community health workers in the rural setting specifically trained in hypertension management.80 The group of patients randomized to community health workers had significant reductions in both systolic and diastolic BP, after referral to a physician. This study's findings show that proactive multicomponent interventions can lead to major cardiovascular risk reduction in these populations and thus can have major public health implications.
Table 3.
Estimated number of doctors and nurses/midwives per 10,000 population in South Asian countries
| Country | Doctors per 10,000 Population | Nurses/Midwives per 10,000 Population |
|---|---|---|
| Afghanistan | 2.54 | 4.46 |
| Bangladesh | 6.67 | 4.89 |
| Bhutan | 4.99 | 20.78 |
| India | 7.34 | 17.48 |
| Maldives | 20.53 | 46.61 |
| Nepal | 8.52 | 33.42 |
| Pakistan | 11.18 | 4.83 |
| Sri Lanka | 12.29 | 24.95 |
Source: World Health Organization Global Health Workforce statistics database. Last updated Jan 24, 2022.
Medical management is essential in reducing microvascular and macrovascular complications of diabetes mellitus and hypertension in South Asians.81 For patients living in South Asia, affordability is a huge factor because of the low percentage of gross domestic product spent on health care and the lack of widespread adoption of private or public health insurance policies. Antihyperglycemic agents such as sulfonylureas and metformin are cost-effective first-line agents in South Asians with type 2 diabetes mellitus, especially in the early stages.63 The effect of sulfonylureas may not be long-lived in South Asians because of accelerated β-cell failure. Moreover, owing to the lack of widespread self-monitoring of blood glucose, the risk of hypoglycemia must be emphasized.
Sodium-glucose cotransporter-2 (SGLT-2) inhibitors have shown benefits in glycemic control and decreasing cardiovascular risk in patients with diabetes mellitus82–84. Remogliflozin is an affordable SGLT-2 inhibitor approved for use in India after a phase 3 trial showed comparable glucose-lowering effects and safety profile with dapagliflozin.85,86 Although it is unclear whether remogliflozin has similar kidney-related benefits seen in other SGLT-2 inhibitors (empagliflozin, dapagliflozin, ertugliflozin, sotagliflozin), it was found to be noninferior to dapagliflozin in control of hemoglobin A1c and had no clinically relevant difference regarding fasting plasma glucose, postprandial plasma glucose, body weight, and safety profile.87 The South Asian Federation of Endocrine Societies recommends consideration of SGLT-2 inhibitors as initial therapy in metformin-intolerant individuals, after taking into account their body types, dietary patterns, and lifestyles (particularly because of the possibility of ketoacidosis and dehydration from hot climate and religious fasting).70 Oral medications may delay the need for insulin therapy, which has been associated with social stigmas in South Asian communities.88
The antiproteinuric and kidney protective effects of ACEIs and ARBs in both diabetic and nondiabetic kidney disease have been well established.71 These classes of medications should be considered first-line agents to manage hypertension and CKD in South Asians.72
Medication adherence, however, is a challenge in South Asia due to several social determinants including poor health literacy, lack of social support, and adequate housing and fiscal burdens.89,90 The polypill, which is defined as a fixed-dose combination of medications, was a strategy suggested by the WHO to improve adherence.91 The polypill can be single-purpose (i.e. fixed-dose combinations of antihypertensives, such as an ACEI, hydrochlorothiazide, and a calcium channel blocker) or multipurpose (i.e. statin, aspirin, β blocker, and ACEI). Recent meta-analyses have demonstrated that fixed-dose polypills lead to better adherence, better BP control, and a reduction in the incidence of myocardial infarction, stroke, and cardiovascular death.92,93 However, these polypills may be more expensive, leading to problems with affordability.94
Prolonged life expectancy, sedentary lifestyles, and unhealthy dietary habits have resulted in a higher prevalence of chronic conditions in people of South Asian origin. In South Asian countries, conditions such as diabetes mellitus, hypertension, and CKD place a tremendous socioeconomic burden on people and health care infrastructure. Prompt assessment of vascular risk, aggressive management of risk factors using lifestyle modification, smoking cessation, and medications can help prevent end-organ damage. Further research is needed to determine methods for disease prevention in South Asians and improve access to health care particularly in the South Asian subcontinent.
Disclosures
S. Anand reports consultancy agreements with GLG group and Vera Therapeutics, honoraria from St. Rose Hospital (CME activity), and advisory or leadership roles for i3C (ISN) & ANIO, unpaid. S. Anand reports that Ascend Clinical Laboratory funded sample assays for S. Anand's COVID-19 seroepidemiology work. S. Anand is supported by National Institute for Diabetes and Digestive and Kidney Health grant #K23 DK101826. P. Deshpande's husband is an allergist and has been a consultant for Sanofi; P. Deshpande's husband has been involved in industry and federally funded research; P. Deshpande's husband received honoraria from the NY Allergy Society; and P. Deshpande's husband participated in an advisory board for Sanofi. M. Vijayan reports ownership interest in Amazon, American Express, AT&T, Cleveland Cliffs Steel, Plug Power, and Warner Bros. M. Vijayan's spouse reports employment with Hennes & Mauritz. The remaining author has nothing to disclose.
Funding
None.
Author Contributions
All authors conceptualized the study; K. Deshpande, P. Deshpande, and M. Vijayan wrote the original draft; and S. Anand, P. Deshpande, and M. Vijayan reviewed and edited the manuscript.
References
- 1. The World Bank. Population, total- South Asia. Available at: https://data.worldbank.org/indicator/SP.POP.TOTL?locations58S. Accessed October 26, 2022.
- 2. The World Bank. Current health expenditure (%of GDP)- South Asia. Available at: https://data.worldbank.org/indicator/SH.XPD.CHEX.GD.ZS?locations58S. Accessed August 25, 2022.
- 3.Rahman MM, Karan A, Rahman MS, et al. Progress toward universal health coverage: a comparative analysis in 5 South Asian countries. JAMA Intern Med. 2017;177(9):1297–1305. doi: 10.1001/jamainternmed.2017.3133 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Moran AE, Tzong KY, Forouzanfar MH, et al. Variations in ischemic heart disease burden by age, country, and income: the Global Burden of Diseases, Injuries, and Risk Factors 2010 Study. Glob Heart. 2014;9(1):91–99. doi: 10.1016/j.gheart.2013.12.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Misra A, Tandon N, Ebrahim S, et al. Diabetes, cardiovascular disease, and chronic kidney disease in South Asia: current status and future directions. BMJ. 2017;357:j1420. doi: 10.1136/bmj.j1420 [DOI] [PubMed] [Google Scholar]
- 6.Gujral UP, Pradeepa R, Weber MB, Narayan KV, Mohan V. Type 2 diabetes in South Asians: similarities and differences with white Caucasian and other populations. Ann N Y Acad Sci. 2013;1281(1):51–63. doi: 10.1111/j.1749-6632.2012.06838.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Chiu M, Austin PC, Manuel DG, Shah BR, Tu JV. Deriving ethnic-specific BMI cutoff points for assessing diabetes risk. Diabetes Care. 2011;34(8):1741–1748. doi: 10.2337/dc10-2300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Zhang Q, Wang Y, Huang ES. Changes in racial/ethnic disparities in the prevalence of type 2 diabetes by obesity level among US adults. Ethn Health. 2009;14(5):439–457. doi: 10.1080/13557850802699155 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Chiu M, Austin PC, Manuel DG, Tu JV. Comparison of cardiovascular risk profiles among ethnic groups using population health surveys between 1996 and 2007. CMAJ. 2010;182(8):E301–E310. doi: 10.1503/cmaj.091676 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ntuk UE, Gill JMR, Mackay DF, Sattar N, Pell JP. Ethnic-specific obesity cutoffs for diabetes risk: cross-sectional study of 490,288 UK biobank participants. Diabetes Care. 2014;37(9):2500–2507. doi: 10.2337/dc13-2966 [DOI] [PubMed] [Google Scholar]
- 11.Karter AJ, Schillinger D, Adams AS, et al. Elevated rates of diabetes in Pacific Islanders and Asian subgroups: the Diabetes Study of Northern California (DISTANCE). Diabetes Care. 2013;36(3):574–579. doi: 10.2337/dc12-0722 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Hippisley-Cox J, Coupland C, Robson J, Sheikh A, Brindle P. Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ. 2009;338:b880. doi: 10.1136/bmj.b880 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Barbour SJ, Er L, Djurdjev O, Karim M, Levin A. Differences in progression of CKD and mortality amongst Caucasian, oriental Asian and South Asian CKD patients. Nephrol Dial Transplant. 2010;25(11):3663–3672. doi: 10.1093/ndt/gfq189 [DOI] [PubMed] [Google Scholar]
- 14.Collins VR, Dowse GK, Cabealawa S, Ram P, Zimmet PZ. High mortality from cardiovascular disease and analysis of risk factors in Indian and Melanesian Fijians. Int J Epidemiol. 1996;25(1):59–69. doi: 10.1093/ije/25.1.59 [DOI] [PubMed] [Google Scholar]
- 15.Sockalingam L, Desai D, Wong A, et al. The rise in cardiovascular risk factors and chronic diseases in Guyana: a narrative review. Ann Glob Health. 2021;87(1):46. doi: 10.5334/aogh.3060 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gijsberts CM, Seneviratna A, de Carvalho LP, et al. Ethnicity modifies associations between cardiovascular risk factors and disease severity in parallel Dutch and Singapore coronary cohorts. PLoS One. 2015;10(7):e0132278. doi: 10.1371/journal.pone.0132278 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Hughes K, Yeo PP, Lun KC, et al. Cardiovascular diseases in Chinese, Malays, and Indians in Singapore. II. Differences in risk factor levels. J Epidemiol Community Health. 1990;44(1):29–35. doi: 10.1136/jech.44.1.29 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Tan KHX, Barr ELM, Koshkina V, et al. Diabetes mellitus prevalence is increasing in South Asians but is stable in Chinese living in Singapore and Mauritius. J Diabetes. 2017;9(9):855–864. doi: 10.1111/1753-0407.12497 [DOI] [PubMed] [Google Scholar]
- 19.Sattar N, Gill JMR. Type 2 diabetes in migrant south Asians: mechanisms, mitigation, and management. Lancet Diabetes Endocrinol. 2015;3(12):1004–1016. doi: 10.1016/s2213-8587(15)00326-5 [DOI] [PubMed] [Google Scholar]
- 20.Anand SS, Tarnopolsky MA, Rashid S, et al. Adipocyte hypertrophy, fatty liver and metabolic risk factors in South Asians: the Molecular Study of Health and Risk in Ethnic Groups (mol-SHARE). PLoS One. 2011;6(7):e22112. doi: 10.1371/journal.pone.0022112 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Sniderman AD, Bhopal R, Prabhakaran D, Sarrafzadegan N, Tchernof A. Why might South Asians be so susceptible to central obesity and its atherogenic consequences? The adipose tissue overflow hypothesis. Int J Epidemiol. 2007;36(1):220–225. doi: 10.1093/ije/dyl245 [DOI] [PubMed] [Google Scholar]
- 22.Hardy OT, Czech MP, Corvera S. What causes the insulin resistance underlying obesity? Curr Opin Endocrinol Diabetes Obes. 2012;19(2):81–87. doi: 10.1097/med.0b013e3283514e13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hall LML, Moran CN, Milne GR, et al. Fat oxidation, fitness and skeletal muscle expression of oxidative/lipid metabolism genes in South Asians: implications for insulin resistance? PLoS One. 2010;5(12):e14197. doi: 10.1371/journal.pone.0014197 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Forouhi NG, Jenkinson G, Thomas EL, et al. Relation of triglyceride stores in skeletal muscle cells to central obesity and insulin sensitivity in European and South Asian men. Diabetologia. 1999;42(8):932–935. doi: 10.1007/s001250051250 [DOI] [PubMed] [Google Scholar]
- 25.Chandalia M, Abate N, Garg A, Stray-Gundersen J, Grundy SM. Relationship between generalized and upper body obesity to insulin resistance in Asian Indian men. J Clin Endocrinol Metab. 1999;84(7):2329–2335. doi: 10.1210/jc.84.7.2329 [DOI] [PubMed] [Google Scholar]
- 26.Gujral UP, Vittinghoff E, Mongraw-Chaffin M, et al. Cardiometabolic abnormalities among normal-weight persons from five racial/ethnic groups in the United States: a cross-sectional analysis of two cohort studies. Ann Intern Med. 2017;166(9):628–636. doi: 10.7326/m16-1895 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Siddiqui MK, Anjana RM, Dawed AY, et al. Young-onset diabetes in Asian Indians is associated with lower measured and genetically determined beta cell function. Diabetologia. 2022;65(6):973–983. doi: 10.1007/s00125-022-05671-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Jainandunsing S, Özcan B, Rietveld T, et al. Failing beta-cell adaptation in South Asian families with a high risk of type 2 diabetes. Acta Diabetol. 2015;52(1):11–19. doi: 10.1007/s00592-014-0588-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Narayan KMV, Kanaya AM. Why are South Asians prone to type 2 diabetes? A hypothesis based on underexplored pathways. Diabetologia. 2020;63(6):1103–1109. doi: 10.1007/s00125-020-05132-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lear SA, Kohli S, Bondy GP, Tchernof A, Sniderman AD. Ethnic variation in fat and lean body mass and the association with insulin resistance. J Clin Endocrinol Metab. 2009;94(12):4696–4702. doi: 10.1210/jc.2009-1030 [DOI] [PubMed] [Google Scholar]
- 31.Staimez LR, Weber MB, Ranjani H, et al. Evidence of reduced β-cell function in Asian Indians with mild dysglycemia. Diabetes Care. 2013;36(9):2772–2778. doi: 10.2337/dc12-2290 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Petersen KF, Dufour S, Feng J, et al. Increased prevalence of insulin resistance and nonalcoholic fatty liver disease in Asian-Indian men. Proc Natl Acad Sci USA. 2006;103(48):18273–18277. doi: 10.1073/pnas.0608537103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.American Diabetes Association. (2) Classification and diagnosis of diabetes. Diabetes Care. 2015;38(Suppl 1):S8–S16. doi: 10.2337/dc15-s005 [DOI] [PubMed] [Google Scholar]
- 34.World Health Organization & United Nations Children’s Fund (UNICEF). Low Birthweight: Country, Regional and Global Estimates. World Health Organization; 2004. Available at: https://apps.who.int/iris/handle/10665/43184. Accessed October 26, 2022 [Google Scholar]
- 35.Vikse BE, Irgens LM, Leivestad T, Hallan S, Iversen BM. Low birth weight increases risk for end-stage renal disease. J Am Soc Nephrol. 2008;19(1):151–157. doi:10.1681/ASN.2007020252 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Luyckx VA, Brenner BM. Low birth weight, nephron number, and kidney disease. Kidney Int. 2005;68(97):S68–S77. doi: 10.1111/j.1523-1755.2005.09712.x [DOI] [PubMed] [Google Scholar]
- 37.Zaveri A, Paul P, Saha J, Barman B, Chouhan P. Maternal determinants of low birth weight among Indian children: evidence from the National Family Health Survey-4, 2015-16. PLoS One. 2020;15(12):e0244562. doi: 10.1371/journal.pone.0244562 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Loh M, Zhang W, Ng HK, et al. Identification of genetic effects underlying type 2 diabetes in South Asian and European populations. Commun Biol. 2022;5(1):329. doi: 10.1038/s42003-022-03248-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kanaya AM, Kandula N, Herrington D, et al. Mediators of Atherosclerosis in South Asians Living in America (MASALA) study: objectives, methods, and cohort description. Clin Cardiol. 2013;36(12):713–720. doi: 10.1002/clc.22219 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Bild DE, Bluemke DA, Burke GL, et al. Multi-ethnic study of atherosclerosis: objectives and design. Am J Epidemiol. 2002;156(9):871–881. doi: 10.1093/aje/kwf113 [DOI] [PubMed] [Google Scholar]
- 41.Gadgil MD, Anderson CAM, Kandula NR, Kanaya AM. Dietary patterns are associated with metabolic risk factors in South Asians living in the United States. J Nutr. 2015;145(6):1211–1217. doi: 10.3945/jn.114.207753 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Ghimire K, Mishra SR, Satheesh G, et al. Salt intake and salt-reduction strategies in South Asia: from evidence to action. J Clin Hypertens (Greenwich). 2021;23(10):1815–1829. doi: 10.1111/jch.14365 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Sreeramareddy CT, Pradhan PMS, Mir IA, Sin S. Smoking and smokeless tobacco use in nine South and Southeast Asian countries: prevalence estimates and social determinants from Demographic and Health Surveys. Popul Health Metr. 2014;12(1):22. doi: 10.1186/s12963-014-0022-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Polak JF, Pencina MJ, Pencina KM, O’Donnell CJ, Wolf PA, D’Agostino RB. Carotid-wall intima-media thickness and cardiovascular events. N Engl J Med. 2011;365(3):213–221. doi: 10.1056/nejmoa1012592 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Detrano R, Guerci AD, Carr JJ, et al. Coronary calcium as a predictor of coronary events in four racial or ethnic groups. N Engl J Med. 2008;358(13):1336–1345. doi: 10.1056/nejmoa072100 [DOI] [PubMed] [Google Scholar]
- 46.Gujral UP, Mehta A, Sher S, et al. Ethnic differences in subclinical vascular function in South Asians, Whites, and African Americans in the United States. Int J Cardiol Heart Vasc. 2020;30:100598. doi: 10.1016/j.ijcha.2020.100598 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Roy A, Praveen PA, Amarchand R, et al. Changes in hypertension prevalence, awareness, treatment and control rates over 20 years in National Capital Region of India: results from a repeat cross-sectional study. BMJ Open. 2017;7(7):e015639. doi: 10.1136/bmjopen-2016-015639 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Neupane D, McLachlan CS, Sharma R, et al. Prevalence of hypertension in member countries of South Asian Association for Regional Cooperation (SAARC): systematic review and meta-analysis. Medicine (Baltimore). 2014;93(13):e74. doi: 10.1097/md.0000000000000074 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Prabhakaran D, Jeemon P, Ghosh S, et al. Prevalence and incidence of hypertension: results from a representative cohort of over 16,000 adults in three cities of South Asia. Indian Heart J. 2017;69(4):434–441. doi: 10.1016/j.ihj.2017.05.021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Hull S, Dreyer G, Badrick E, Chesser A, Yaqoob MM. The relationship of ethnicity to the prevalence and management of hypertension and associated chronic kidney disease. BMC Nephrol. 2011;12(1):41. doi: 10.1186/1471-2369-12-41 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Yi SS, Thorpe LE, Zanowiak JM, Trinh-Shevrin C, Islam NS. Clinical characteristics and lifestyle behaviors in a population-based sample of Chinese and South Asian immigrants with hypertension. Am J Hypertens. 2016;29(8):941–947. doi: 10.1093/ajh/hpw014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Major RW, Davies MJ, Crasto W, Gray LJ, Webb DR, Khunti K. Association between undiagnosed hypertension and microalbuminuria in South Asians without known diabetes. J Hum Hypertens. 2015;29(3):185–189. doi: 10.1038/jhh.2014.62 [DOI] [PubMed] [Google Scholar]
- 53.Hasan M, Sutradhar I, Gupta RD, Sarker M. Prevalence of chronic kidney disease in South Asia: a systematic review. BMC Nephrol. 2018;19(1):291. doi: 10.1186/s12882-018-1072-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Rajapurkar MM, John GT, Kirpalani AL, et al. What do we know about chronic kidney disease in India: first report of the Indian CKD registry. BMC Nephrol. 2012;13(1):10. doi: 10.1186/1471-2369-13-10 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.John O, Gummudi B, Jha A, et al. Chronic kidney disease of unknown etiology in India: what do we know and where we need to go. Kidney Int Rep. 2021;6(11):2743–2751. doi: 10.1016/j.ekir.2021.07.031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Chew STH, Mar WMT, Ti LK. Association of ethnicity and acute kidney injury after cardiac surgery in a South East Asian population. Br J Anaesth. 2013;110(3):397–401. doi: 10.1093/bja/aes415 [DOI] [PubMed] [Google Scholar]
- 57.Anand S, Kondal D, Montez-Rath M, et al. Prevalence of chronic kidney disease and risk factors for its progression: a cross-sectional comparison of Indians living in Indian versus U.S. cities. PLoS One. 2017;12(3):e0173554. doi: 10.1371/journal.pone.0173554 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Fischbacher CM, Bhopal R, Rutter MK, et al. Microalbuminuria is more frequent in South Asian than in European origin populations: a comparative study in Newcastle, UK. Diabetic Med. 2003;20(1):31–36. doi: 10.1046/j.1464-5491.2003.00822.x [DOI] [PubMed] [Google Scholar]
- 59.Jessani S, Levey AS, Bux R, et al. Estimation of GFR in South Asians: a study from the general population in Pakistan. Am J Kidney Dis. 2014;63(1):49–58. doi: 10.1053/j.ajkd.2013.07.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Wang Y, Levey AS, Inker LA, et al. Performance and determinants of serum creatinine and cystatin C-based GFR estimating equations in South Asians. Kidney Int Rep. 2021;6(4):962–975. doi: 10.1016/j.ekir.2021.01.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Dixit AA, Azar KM, Gardner CD, Palaniappan LP. Incorporation of whole, ancient grains into a modern Asian Indian diet to reduce the burden of chronic disease. Nutr Rev. 2011;69(8):479–488. doi: 10.1111/j.1753-4887.2011.00411.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Iliodromiti S, Ghouri N, Celis-Morales CA, Sattar N, Lumsden MA, Gill JMR. Should physical activity recommendations for South Asian adults be ethnicity-specific? Evidence from a cross-sectional study of South Asian and white European men and women. PLoS One. 2016;11(8):e0160024. doi: 10.1371/journal.pone.0160024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.UK Prospective Diabetes Study Group. Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. BMJ. 1998;317(7160):703–713. doi: 10.1136/bmj.317.7160.703 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Raji A, Gerhard-Herman MD, Williams JS, O’connor ME, Simonson DC. Effect of pioglitazone on insulin sensitivity, vascular function and cardiovascular inflammatory markers in insulin-resistant non-diabetic Asian Indians. Diabetic Med. 2006;23(5):537–543. doi: 10.1111/j.1464-5491.2006.01843.x [DOI] [PubMed] [Google Scholar]
- 65.Bhansali S, Bhansali A, Dutta P, Walia R, Dhawan V. Metformin upregulates mitophagy in patients with T2DM: a randomized placebo-controlled study. J Cell Mol Med. 2020;24(5):2832–2846. doi: 10.1111/jcmm.14834 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Chan JCN, Deerochanawong C, Shera AS, et al. Role of metformin in the initiation of pharmacotherapy for type 2 diabetes: an Asian-Pacific perspective. Diabetes Res Clin Pract. 2007;75(3):255–266. doi: 10.1016/j.diabres.2006.06.023 [DOI] [PubMed] [Google Scholar]
- 67.Kim YG, Hahn S, Oh TJ, Kwak SH, Park KS, Cho YM. Differences in the glucose-lowering efficacy of dipeptidyl peptidase-4 inhibitors between Asians and non-Asians: a systematic review and meta-analysis. Diabetologia. 2013;56(4):696–708. doi: 10.1007/s00125-012-2827-3 [DOI] [PubMed] [Google Scholar]
- 68.Seino Y, Kuwata H, Yabe D. Incretin-based drugs for type 2 diabetes: focus on East Asian perspectives. J Diabetes Investig. 2016;7(S1):102–109. doi: 10.1111/jdi.12490 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Gan S, Dawed AY, Donnelly LA, et al. Efficacy of modern diabetes treatments DPP-4i, SGLT-2i, and GLP-1RA in white and Asian patients with diabetes: a systematic review and meta-analysis of randomized controlled trials. Diabetes Care. 2020;43(8):1948–1957. doi: 10.2337/dc19-2419 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Kalra S, Ghosh S, Aamir AH, et al. Safe and pragmatic use of sodium-glucose co-transporter 2 inhibitors in type 2 diabetes mellitus: south Asian Federation of Endocrine Societies consensus statement. Indian J Endocrinol Metab. 2017;21(1):210–230. doi: 10.4103/2230-8210.196029 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Brenner BM, Cooper ME, de Zeeuw D, et al. Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N Engl J Med. 2001;345(12):861–869. doi: 10.1056/nejmoa011161 [DOI] [PubMed] [Google Scholar]
- 72.Misra A, Sattar N, Tandon N, et al. Clinical management of type 2 diabetes in south Asia. Lancet Diabetes Endocrinol. 2018;6(12):979–991. doi: 10.1016/s2213-8587(18)30199-2 [DOI] [PubMed] [Google Scholar]
- 73.Jaleel MA, Raza SA, Fathima FN, Jaleel BNF. Ramadan and diabetes: As-Saum (The fasting). Indian J Endocrinol Metab. 2011;15(4):268–273. doi: 10.4103/2230-8210.85578 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Haring B, Selvin E, Liang M, et al. Dietary protein sources and risk for incident chronic kidney disease: results from the Atherosclerosis Risk in Communities (ARIC) study. J Ren Nutr. 2017;27(4):233–242. doi: 10.1053/j.jrn.2016.11.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Lew QLJ, Jafar TH, Koh HWL, et al. Red meat intake and risk of ESRD. J Am Soc Nephrol. 2017;28(1):304–312. doi: 10.1681/ASN.2016030248 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Hills AP, Arena R, Khunti K, et al. Epidemiology and determinants of type 2 diabetes in south Asia. Lancet Diabetes Endocrinol. 2018;6(12):966–978. doi: 10.1016/s2213-8587(18)30204-3 [DOI] [PubMed] [Google Scholar]
- 77.Thanawala MS, Siddique J, Schneider JA, et al. Association of social networks and physical activity in South Asians: the Mediators of Atherosclerosis in South Asians Living in America cohort study. J Phys Activity Health 2020;17(2):149–155. doi: 10.1123/jpah.2019-0099 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.World Health Organization. Health Workforce Requirements for Universal Health Coverage and the Sustainable Development Goals. (Human Resources for Health Observer, 17). World Health Organization; 2016. Available at: https://apps.who.int/iris/handle/10665/250330 [Google Scholar]
- 79.World Health Organization. Global Health Workforce statistics database. Available at: https://www.who.int/data/gho/data/themes/topics/health-workforce. Accessed October 26, 2022
- 80.Jafar TH, Gandhi M, de Silva HA, et al. A community-based intervention for managing hypertension in rural South Asia. N Engl J Med. 2020;382(8):717–726. doi: 10.1056/nejmoa1911965 [DOI] [PubMed] [Google Scholar]
- 81.Balasubramanian A, Nair SS, Rakesh PS, Leelamoni K. Adherence to treatment among hypertensives of rural Kerala, India. J Fam Med Prim Care. 2018;7(1):64–69. doi: 10.4103/jfmpc.jfmpc_423_16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Das B, Sheikh A, Ahmed B, Islam N. Clinical outcomes of Sodium-glucose cotransporter-2 inhibitors in patients with type 2 diabetes mellitus: an observational study from Pakistan. Pak J Med Sci. 2021;37(5):1342–1346. doi: 10.12669/pjms.37.5.3901 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Ghosh A, Gupta R, Singh P, Dutta A, Misra A. Sodium-glucose cotransporter-2 inhibitors in patients with type 2 diabetes in North India: A 12-month prospective study in real-world setting. Int J Clin Pract. 2018;72(9):e13237. doi: 10.1111/ijcp.13237 [DOI] [Google Scholar]
- 84.Zinman B, Wanner C, Lachin JM, et al. Empagliflozin, cardiovascular outcomes, and mortality in type 2 diabetes. N Engl J Med. 2015;373(22):2117–2128. doi: 10.1056/nejmoa1504720 [DOI] [PubMed] [Google Scholar]
- 85.Atal S, Fatima Z, Singh S, Balakrishnan S, Joshi R. Remogliflozin: the new low cost SGLT-2 inhibitor for type 2 diabetes mellitus. Diabetol Int. 2021;12(3):247–253. doi: 10.1007/s13340-020-00472-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Mohan V, Mithal A, Joshi SR, Aravind SR, Chowdhury S. Remogliflozin etabonate in the treatment of type 2 diabetes: design, development, and place in Therapy. Drug Des Devel Ther. 2020;14:2487–2501. doi: 10.2147/dddt.s221093 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Dharmalingam M, Aravind SR, Thacker H, et al. Efficacy and safety of remogliflozin etabonate, a new sodium glucose co-transporter-2 inhibitor, in patients with type 2 diabetes mellitus: a 24-week, randomized, double-blind, active-controlled trial. Drugs. 2020;80(6):587–600. doi: 10.1007/s40265-020-01285-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Patel N, Stone MA, Chauhan A, Davies MJ, Khunti K. Insulin initiation and management in people with type 2 diabetes in an ethnically diverse population: the healthcare provider perspective. Diabetic Med. 2012;29(10):1311–1316. doi: 10.1111/j.1464-5491.2012.03669.x [DOI] [PubMed] [Google Scholar]
- 89.Akeroyd JM, Chan WJ, Kamal AK, Palaniappan L, Virani SS. Adherence to cardiovascular medications in the South Asian population: a systematic review of current evidence and future directions. World J Cardiol. 2015;7(12):938–947. doi: 10.4330/wjc.v7.i12.938 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Malambo P, Kengne AP, De Villiers A, Lambert EV, Puoane T. Built environment, selected risk factors and major cardiovascular disease outcomes: a systematic review. PLoS One. 2016;11(11):e0166846. doi: 10.1371/journal.pone.0166846 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Soliman EZ, Mendis S, Dissanayake WP, et al. A Polypill for primary prevention of cardiovascular disease: a feasibility study of the World Health Organization. Trials. 2011;12(1):3. doi: 10.1186/1745-6215-12-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Joseph P, Roshandel G, Gao P, et al. Fixed-dose combination therapies with and without aspirin for primary prevention of cardiovascular disease: an individual participant data meta-analysis. Lancet 2021;398(10306):1133–1146. doi: 10.1016/s0140-6736(21)01827-4 [DOI] [PubMed] [Google Scholar]
- 93.Mohamed MM, Osman M, Kheiri B, Saleem M, Lacasse A, Alkhouli M. Polypill for cardiovascular disease prevention: systematic review and meta-analysis of randomized controlled trials. Int J Cardiol. 2022;360:91–98. doi: 10.1016/j.ijcard.2022.04.085 [DOI] [PubMed] [Google Scholar]
- 94.Sukonthasarn A, Chia YC, Wang JG, et al. The feasibility of polypill for cardiovascular disease prevention in Asian Population. J Clin Hypertens. 2021;23(3):545–555. doi: 10.1111/jch.14075 [DOI] [PMC free article] [PubMed] [Google Scholar]

