Post-campaign coverage evaluation of a measles and rubella supplementary immunization activity in five districts in India, 2019-2020.

BACKGROUND: In alignment with the Measles and Rubella (MR) Strategic Elimination plan, India conducted a mass measles and rubella vaccination campaign across the country between 2017 and 2020 to provide a dose of MR containing vaccine to all children aged 9 months to 15 years. We estimated campaign vaccination coverage in five districts in India and assessed campaign awareness and factors associated with vaccination during the campaign to better understand reasons for not receiving the dose. METHODS AND FINDINGS: Community-based cross-sectional serosurveys were conducted in five districts of India among children aged 9 months to 15 years after the vaccination campaign. Campaign coverage was estimated based on home-based immunization record or caregiver recall. Campaign coverage was stratified by child- and household-level risk factors and descriptive analyses were performed to assess reasons for not receiving the campaign dose. Three thousand three hundred and fifty-seven children aged 9 months to 15 years at the time of the campaign were enrolled. Campaign coverage among children aged 9 months to 5 years documented or by recall ranged from 74.2% in Kanpur Nagar District to 90.4% in Dibrugarh District, Assam. Similar coverage was observed for older children. Caregiver awareness of the campaign varied from 88.3% in Hoshiarpur District, Punjab to 97.6% in Dibrugarh District, Assam, although 8% of children whose caregivers were aware of the campaign were not vaccinated during the campaign. Failure to receive the campaign dose was associated with urban settings, low maternal education, and lack of school attendance although the associations varied by district. CONCLUSION: Awareness of the MR vaccination campaign was high; however, campaign coverage varied by district and did not reach the elimination target of 95% coverage in any of the districts studied. Areas with lower coverage among younger children must be prioritized by strengthening the routine immunization programme and implementing strategies to identify and reach under-vaccinated children.

A randomized controlled trial of medication adherence and management of risk factors for secondary prevention of stroke (MaMoRS) using a smartphone-based application.

BACKGROUND: There are little data on the use of smartphone-based applications for medication adherence and risk-factor control for the secondary prevention of stroke in low-and-middle-income countries (LMICs). AIMS: The aim was to determine whether a smartphone-based app improved medication adherence, risk-factor control, and provided health education to stroke survivors for lifestyle and behavioral modifications. METHODS: An unblinded, single-center randomized controlled double arm trial with 1:1 allocation among stroke survivors was performed in South India. The primary outcome was medication adherence, with co-primary outcomes of lifestyle and behavioral factors and control of vascular risk factors, at 3 and 6 months. RESULTS: Among 351 stroke survivors screened, 209 were recruited. The mean (standard deviation (SD)) age of the intervention (n = 105) group was 60 (12) years and that of the control (n = 104) group was 60 (10) years. In the primary outcome, mean medication adherence significantly improved in the intervention group with a between group difference of 0.735 (95% confidence interval (CI) = 0.419 to 1.050), p < 0.001. Being in intervention group (OR = 4.5; 95% CI = 2.3 to 8.9), stroke recurrence (OR = 3.3 (95% CI = 1.9 to 7.8)), and regular physician visits (OR = 2.1; 95% CI = 1.0 to 4.4) were significant predictors of good medication adherence. Considering the co-primary outcomes, compared to the control group, participants in the intervention group had a greater improvement in self-reported healthy diet intake (p = 0.003), intake of fruits (p = 0.005), and were physically more active (p = 0.001). At 6 months, mean fasting blood sugar (p = 0.005) and high-density lipoprotein cholesterol higher (p = 0.024) in the intervention group. CONCLUSIONS: The use of a mobile app is an effective method to improve medication adherence and risk-factor control in stroke survivors and is feasible in LMICs like India. DATA ACCESS STATEMENT: Data used during the study are available from the corresponding author on request. TRIAL REGISTRATION: The study is registered in Clinical Trial Registry of India (CTRI/2022/06/042980).

Development and effect of a coordinated Community Health Worker (CHW) Intervention (C-CHW-I) model for the stroke survivors in Kerala, South India.

INTRODUCTION: Structured models for secondary prevention of stroke in community settings are scarce. We aimed to develop and evaluate a model for improving medication adherence and enhanced risk factor monitoring. METHODS: We developed a multimodal C-CHW-I model for stroke survivors. Following training, all patients received a minimum of three CHW home visits, and once in 3-month telephone-call and health education for six months by CHWs. Seven blocks from 16 blocks of the study area were randomised to additionally receive an SMS alert for six months to reinforce CHW involvement. The primary outcomes were medication adherence and risk factor monitoring, and the secondary outcome was risk factor control. RESULTS: The mean age of the study population was 64+12 years, 765(85%) had ischaemic stroke. In the overall study cohort receiving the CHW intervention, mean medication adherence significantly improved from 3.56(0.88) at baseline to 3.78(0.61) at 6 months; p<0.001. Overall risk factor monitoring improved from 42.7% to 49.7%, and mean (standard deviation) systolic blood pressure (SBP) significantly reduced from 138(21) mmHg to 132(15) mmHg at 6-months; p<0.001. In patients additionally receiving SMS-based intervention, a statistically significant improvement in medication adherence was seen at 3 months (3.76+0.64 versus 3.61+0.81; p=0.008) however no difference persisted at 6 months. The proportion of smokers and alcohol users reduced in both groups with a trend to greater reduction in the intervention group (smokers:5.9% versus 2.8% (p=0.446) and alcohol users: 1.6% versus 1.4%(p=0.474)). At six months, the SBP did not differ (SBP (132.1(16.2) in the SMS group versus 133.2(15.8) mmHg in the control group, p=0.409). CONCLUSION: Our model improved medication adherence and risk factor monitoring of stroke survivors in community settings, and this can reduce stroke burden in the community.

Demographic and clinical characteristics of primary lung cancer patients in Kerala: Analysis of data from six teaching centers.

Background: Lung cancer continues to be the leading cause of cancer-related deaths in men and women. A breakdown by level of economic development shows no differences in cancer deaths in men but a higher rate of lung cancer deaths in women in industrialized countries as compared with developing nations. The risk factors for lung cancer most commonly include lifestyle, environmental, and occupational exposures. The role these factors play varies depending on geographic location, sex and race characteristics, genetic predisposition, as well as their synergistic interactions. Materials and Methods: It was a hospital-based registry, wherein hospitals were selected from three zones-north, central, and south zones of Kerala. The study was registered with clinical trial registry of India with Registration No. CTRI/2021/02/031299. Registry of lung cancer patients was prepared at all sites and institutional ethical clearance was received from all sites. All patients with primary lung cancer, histologically proven of all age groups were included in the study. Results: A total of 761 patients were registered from six teaching hospitals in Kerala who were diagnosed with primary lung cancer during the period 2017-2019. The mean age of the study population was 65.1 ± 10.2 years. Of all, 81.1% of them were males and 18.9% were females. Histologically, 56.4% had adenocarcinoma and 25.6% had squamous cell carcinoma. Conclusion: It was observed that the proportion of females diagnosed with primary lung cancer is increasing. Patients get diagnosed at a later stage of the disease, which calls for screening and early detection of lung cancer. As it accounts for the highest mortality among all other cancers, there is high scope for prevention and screening strategies.

Stroke awareness among community health workers from rural health blocks of Thiruvananthapuram, India.

Objectives: Secondary prevention of stroke largely depends on risk factor control and lifestyle modification. Optimal secondary prevention strategies are limited in rural settings due to the shortage of primary care physicians and neurologists. Awareness of community health workers (CHWs) regarding stroke and its management remains largely unexplored. The current cross-sectional study aimed at assessing the knowledge, attitude, and practice (KAP) of CHWs regarding stroke care. Materials and Methods: A structured KAP questionnaire was administered among 510 CHWs from randomly selected rural health blocks of Thiruvananthapuram, Kerala, India. Results: Knowledge assessment showed that the CHWs possessed an average knowledge of stroke care. The mean attitude and practice scores were higher, indicating a favorable attitude and good practice. The overall mean (standard deviation) KAP scores of CHWs were 13.54 (4.43) against a total score of 23. The KAP scores were highest among palliative care nurses. The stroke awareness of the accredited social health activists was comparatively lower than other CHWs. Factors such as age and years of work experience were not correlated to the KAP scores. Conclusion: Recurrent strokes remain a major challenge in primary care. Overall, the health workers demonstrated average knowledge, favorable attitudes, and positive practices. The study highlights the importance of training accredited social health activists (ASHAs) and other CHWs in stroke to improve secondary prevention strategies.

Cost-effectiveness of population-based screening for microalbuminuria in people with type 2 diabetes mellitus in India.

OBJECTIVES: Patients with diabetes have a higher risk of developing chronic kidney disease (CKD). Early detection of CKD through microalbuminuria screening, followed by treatment, delays the progression of CKD. We evaluated the cost-effectiveness of population-based screening of microalbuminuria among normotensive type 2 diabetes mellitus patients aged >40 years compared with no screening scenario using a decision tree combined with the Markov model. METHODS: We considered two scenarios: Scenario I - dipstick microalbuminuria followed by spot-urine albumin-creatinine ratio (ACR) and serum creatinine in sequence; Scenario II - spot urine ACR plus serum creatinine. A mathematical cohort of the target population was simulated over a lifetime horizon with an annual cycle. Data for the model were obtained from secondary resources. The incremental cost-effectiveness ratios (ICERs) were estimated for screening scenarios compared to nonscreening scenario, along with sensitivity analyses. RESULTS: The discounted ICER per quality-adjusted life years gained for annual microalbuminuria screening in the normotensive diabetic population in India were ₹ 24,114 (US$ 308) and ₹ 13,790 (US$ 176) for scenarios I and II, respectively. Annual screening by scenarios I and II resulted in a reduction of 180 and 193 end-stage renal disease (ESRD) cases per 100,000 population, respectively, resulting in a cost saving of ₹ 12.3 and 13.3 Crore spent on ESRD management over 10 years. Both scenarios were also cost-effective even at the screening frequencies of 5 and 10 yearly. CONCLUSION: Microalbuminuria screening was cost-effective at the threshold of one-time GDP per capita in India.

Tracing the Disparity Between Healthcare Policy-Based Infrastructure and Health Belief-Lead Practices: a Narrative Review on Indigenous Populations of India.

Most Indian tribes have limited access to healthcare facilities and rely heavily on traditional healing practices. This narrative review aimed to identify the disparities in the implementation of healthcare services and in accessing and availing these services by the indigenous population in India. We also have tried to throw light on the plausibility in strengthening the efficiency and efficacy of the public health system, by utilizing the available resources to its maximum potential, so that there will be a measurable outcome in the health status of these populations in India, coherently with the relevant sustainable development goals (SDG). The evidence from published literatures supports the fact that the disparity exists in the health status of indigenous populations in India as compared to the general populations. It emphasizes the need to address the key determinants such as the lack of knowledge, traditional healing practices and poor utilization of healthcare services provided to them. Various factors such as accessibility to healthcare resources, traditional healing practices, lack of awareness regarding healthcare services and schemes provided by the government, insufficient data regarding their issues and challenges and cultural and language barriers worsen the health status of indigenous people. However, our review reiterates that a well-structured and sustainable policy with reframed infrastructure and administration of healthcare system might bring a positive change in the health status of indigenous population in India.

Social Determinants of Child Undernutrition in Adivasi Population in Northern Kerala: A Study Using Syndemic Framework.

OBJECTIVES: To understand the complex interaction of structural inequalities, co-occurring health conditions, and child undernutrition among the Adivasi population in North Kerala, India. METHODS: A mixed-method approach was employed in this study, which combined a cross-sectional survey and a case study design. A multistage cluster sampling method was used to select 167 children aged 24 to 60 mo from the study population. The mothers of these children were interviewed using a structured questionnaire to assess individual, parental, and household-level factors associated with child undernutrition. Two Paniya settlements, one with a high prevalence of child undernutrition (HPS) and the other with a low prevalence (LPS), were chosen as the primary units of the case study. RESULTS: The study found that the absence of a kitchen garden with fruits and vegetables [adjusted odds ratio (AOR) 2.85; 95% confidence interval (CI): 1.04-7.81] and a history of cough and fever (AOR 2.93; 95% CI: 1.24-6.93) were both associated with a higher risk of undernutrition in children. The case studies revealed that Adivasi children are undernourished due to a complex set of factors that persist throughout their lives, including unequal access to social capital, healthcare, and food security, as well as differences in hygiene practices due to the lack of access to clean water and sanitation. CONCLUSIONS: The findings underscore the need for social interventions to complement the current focus almost entirely on food supplementation programmes. Equitable action on Adivasi child malnutrition requires urgent policy and programmatic attention to social inequalities and access to basic amenities in Adivasi areas.

The Prevalence of Mild Cognitive Impairment (Mci) among Older Population of Rural Kerala: A Cross-Sectional Study.

Background: There are only very few studies on estimating the prevalence of mild cognitive impairment (MCI) from India, particularly from a rural setting. The available studies were heterogeneous. Objective: The study estimated the prevalence of MCI in a rural setting in Kerala, India. Materials and Methods: We conducted a community-based, cross-sectional study among individuals aged 65 and above in rural Thiruvananthapuram, Kerala. A cluster-randomized sampling was adopted, the cluster being the wards in the village. It was a two-phase door-to-door survey. Grassroots-level health workers enrolled 366 elders in the selected four wards in the initial phase and collected information on the sociodemographic details, comorbidities, and other risk factors of the participants, using a semi-structured questionnaire. Additionally, the Everyday Abilities Scale for India (EASI) was administered to assess their activities of daily living. In the second phase, a neurologist and a psychologist examined those screened positive with EASI and diagnosed MCI and dementia based on the MCI Working Group of the European Consortium on Alzheimer's Disease and the DSM V criteria, respectively. Results: The prevalence of MCI and dementia was 18.6% (95% confidence interval [CI] 14.7%-23.4%) and 6.8% (4.46%-10.1%), respectively, among the study participants. The prevalence of MCI was higher among the unemployed and those above 70 years of age. Conclusion: The community prevalence of MCI is more than three times that of dementia among the elderly in rural Kerala.

Ultra-processed foods and mortality: analysis from the Prospective Urban and Rural Epidemiology study.

BACKGROUND: Higher intake of ultra-processed foods (UPFs) has been associated with increased risk of CVD and mortality in observational studies from Western countries but data from non-Western countries are limited. OBJECTIVES: We aimed to assess the association between consumption of UPFs and risk of mortality and major CVD in a cohort from multiple world regions. DESIGN: This analysis includes 138,076 participants without a history of CVD between the ages of 35 and 70 y living on 5 continents, with a median follow-up of 10.2 y. We used country-specific validated food-frequency questionnaires to determine individuals' food intake. We classified foods and beverages based on the NOVA classification into UPFs. The primary outcome was total mortality (CV and non-CV mortality) and secondary outcomes were incident major cardiovascular events. We calculated hazard ratios using multivariable Cox frailty models and evaluated the association of UPFs with total mortality, CV mortality, non-CV mortality, and major CVD events. RESULTS: In this study, 9227 deaths and 7934 major cardiovascular events were recorded during the follow-up period. We found a diet high in UPFs (≥2 servings/d compared with 0 intake) was associated with higher risk of mortality (HR: 1.28; 95% CI: 1.15, 1.42; P-trend < 0.001), CV mortality (HR: 1.17; 95% CI: 0.98, 1.41; P-trend = 0.04), and non-CV mortality (HR: 1.32; 95% CI 1.17, 1.50; P-trend < 0.001). We did not find a significant association between UPF intake and risk of major CVD. CONCLUSIONS: A diet with a high intake of UPFs was associated with a higher risk of mortality in a diverse multinational study. Globally, limiting the consumption of UPFs should be encouraged.

Association of the triglyceride glucose index as a measure of insulin resistance with mortality and cardiovascular disease in populations from five continents (PURE study): a prospective cohort study.

BACKGROUND: The triglyceride glucose (TyG) index is an easily accessible surrogate marker of insulin resistance, an important pathway in the development of type 2 diabetes and cardiovascular diseases. However, the association of the TyG index with cardiovascular diseases and mortality has mainly been investigated in Asia, with few data available from other regions of the world. We assessed the association of insulin resistance (as determined by the TyG index) with mortality and cardiovascular diseases in individuals from five continents at different levels of economic development, living in urban or rural areas. We also examined whether the associations differed according to the country's economical development. METHODS: We used the TyG index as a surrogate measure for insulin resistance. Fasting triglycerides and fasting plasma glucose were measured at the baseline visit in 141 243 individuals aged 35-70 years from 22 countries in the Prospective Urban Rural Epidemiology (PURE) study. The TyG index was calculated as Ln (fasting triglycerides [mg/dL] x fasting plasma glucose [mg/dL]/2). We calculated hazard ratios (HRs) using a multivariable Cox frailty model with random effects to test the associations between the TyG index and risk of cardiovascular diseases and mortality. The primary outcome of this analysis was the composite of mortality or major cardiovascular events (defined as death from cardiovascular causes, and non-fatal myocardial infarction, or stroke). Secondary outcomes were non-cardiovascular mortality, cardiovascular mortality, all myocardial infarctions, stroke, and incident diabetes. We also did subgroup analyses to examine the magnitude of associations between insulin resistance (ie, the TyG index) and outcome events according to the income level of the countries. FINDINGS: During a median follow-up of 13·2 years (IQR 11·9-14·6), we recorded 6345 composite cardiovascular diseases events, 2030 cardiovascular deaths, 3038 cases of myocardial infarction, 3291 cases of stroke, and 5191 incident cases of type 2 diabetes. After adjusting for all other variables, the risk of developing cardiovascular diseases increased across tertiles of the baseline TyG index. Compared with the lowest tertile of the TyG index, the highest tertile (tertile 3) was associated with a greater incidence of the composite outcome (HR 1·21; 95% CI 1·13-1·30), myocardial infarction (1·24; 1·12-1·38), stroke (1·16; 1·05-1·28), and incident type 2 diabetes (1·99; 1·82-2·16). No significant association of the TyG index was seen with non-cardiovascular mortality. In low-income countries (LICs) and middle-income countries (MICs), the highest tertile of the TyG index was associated with increased hazards for the composite outcome (LICs: HR 1·31; 95% CI 1·12-1·54; MICs: 1·20; 1·11-1·31; pinteraction=0·01), cardiovascular mortality (LICs: 1·44; 1·15-1·80; pinteraction=0·01), myocardial infarction (LICs: 1·29; 1·06-1·56; MICs: 1·26; 1·10-1·45; pinteraction=0·08), stroke (LICs: 1·35; 1·02-1·78; MICs: 1·17; 1·05-1·30; pinteraction=0·19), and incident diabetes (LICs: 1·64; 1·38-1·94; MICs: 2·68; 2·40-2·99; pinteraction <0·0001). In contrast, in high-income countries, higher TyG index tertiles were only associated with an increased hazard of incident diabetes (2·95; 2·25-3·87; pinteraction <0·0001), but not of cardiovascular diseases or mortality. INTERPRETATION: The TyG index is significantly associated with future cardiovascular mortality, myocardial infarction, stroke, and type 2 diabetes, suggesting that insulin resistance plays a promoting role in the pathogenesis of cardiovascular and metabolic diseases. Potentially, the association between the TyG index and the higher risk of cardiovascular diseases and type 2 diabetes in LICs and MICs might be explained by an increased vulnerability of these populations to the presence of insulin resistance. FUNDING: Full funding sources are listed at the end of the paper (see Acknowledgments).

Associations of Antibiotics, Hormonal Therapies, Oral Contraceptives, and Long-Term NSAIDS With Inflammatory Bowel Disease: Results From the Prospective Urban Rural Epidemiology (PURE) Study.

BACKGROUND & AIMS: Several medications have been suspected to contribute to the etiology of inflammatory bowel disease (IBD). This study assessed the association between medication use and the risk of developing IBD using the Prospective Urban Rural Epidemiology cohort. METHODS: This was a prospective cohort study of 133,137 individuals between the ages of 20 and 80 from 24 countries. Country-specific validated questionnaires documented baseline and follow-up medication use. Participants were followed up prospectively at least every 3 years. The main outcome was the development of IBD, including Crohn's disease (CD) and ulcerative colitis (UC). Short-term (baseline but not follow-up use) and long-term use (baseline and subsequent follow-up use) were evaluated. Results are presented as adjusted odds ratios (aORs) with 95% CIs. RESULTS: During a median follow-up period of 11.0 years (interquartile range, 9.2-12.2 y), there were 571 incident IBD cases (143 CD and 428 UC). Incident IBD was associated significantly with baseline antibiotic (aOR, 2.81; 95% CI, 1.67-4.73; P = .0001) and hormonal medication use (aOR, 4.43; 95% CI, 1.78-11.01; P = .001). Among females, previous or current oral contraceptive use also was associated with IBD development (aOR, 2.17; 95% CI, 1.70-2.77; P < .001). Nonsteroidal anti-inflammatory drug users also were observed to have increased odds of IBD (aOR, 1.80; 95% CI, 1.23-2.64; P = .002), which was driven by long-term use (aOR, 5.58; 95% CI, 2.26-13.80; P < .001). All significant results were consistent in direction for CD and UC with low heterogeneity. CONCLUSIONS: Antibiotics, hormonal medications, oral contraceptives, and long-term nonsteroidal anti-inflammatory drug use were associated with increased odds of incident IBD after adjustment for covariates.

Determinants of very low birth weight in India: The National Family Health Survey - 4.

Background Low birth weight (LBW) is susceptible to neonatal complications, chronic medical conditions, and neurodevelopmental disabilities. We aim to describe the determinants of very low birth weight (VLBW) in India based on the National Family Health Survey - 4 (NHFS-4). Methods Data from the NFHS 4 on birthweight and other socio-demographic characteristics for the youngest child born in the family during the five years preceding the survey were used. Data of 147,762 infant-mother pairs were included. Multiple logistic regression models were employed to delineate the independent predictors of VLBW (birth weight<1500 g) or LBW (birth weight <2500 g). Results Of the 147,762 children included in the study, VLBW and LBW were observed in 1.2% and 15.8% of children, respectively. The odds of VLBW were higher in female children (aOR: 1.36, 95% CI: 1.15-1.60), among mothers aged 13-19 years (aOR: 1.58, 95% CI: 1.22-2.07), mothers with severe or moderate anaemia (aOR: 1.61, 95% CI: 1.34-1.94), mothers without recommended antenatal care (aOR: 1.47, 95% CI: 1.31-1.90), maternal height less than 150 cm (aOR: 1.54, 95% CI: 1.29-1.85) and among mothers with multiple pregnancy (aOR: 21.34, 95% CI: 14.70-30.96) in comparison to their corresponding counterparts. In addition to the variables associated with VLBW, educational status of mothers (no education; aOR: 1.08, 95% CI: 1.02-1.15 and primary education; aOR: 1.16, 95% CI: 1.08-1.25), caste of the children (scheduled tribe; aOR: 1.13, 95% CI: 1.03-1.24), and wealthiness of the family (poorest wealth quintiles; aOR: 1.11, 95% CI: 1.03-1.19) were associated with LBW. Conclusions Interventions targeting improvements in antenatal care access, maternal health, and nutritional status may reduce the number of VLBW infants. Social determinants of LBW require further detailed study to understand the high propensity of low birth-weight phenotypes in the disadvantaged communities in India.

Spatiotemporal analysis of environmental and physiographic factors related to malaria in Bareilly district, India.

OBJECTIVES: The aim of this study was to explore the spatiotemporal clustering of reported malaria cases and to study the effects of various environmental and physiographic factors on malaria incidence in Bareilly district, Uttar Pradesh, India. METHODS: Malaria surveillance data were collected from the state health department and cleaned into an analyzable format. These data were analyzed along with meteorological, physiographic, and 2019 population data, which were obtained from the Indian Meteorological Department, National Aeronautics and Space Administration web portal, the Bhuvan platform of the Indian Space Research Organization, and the 2011 Census of India. RESULTS: In total, 46,717 malaria cases were reported in Bareilly district in 2019, of which 25.99% were Plasmodium vivax cases and 74.01% were P. falciparum cases. The reported malaria cases in the district showed clustering, with significant spatial autocorrelation (Moran's I value=0.63), and space-time clustering (p<0.01). A significant positive correlation was found between monthly malaria incidence and the monthly mean temperature (with a lag of 1-2 months) and rainfall (with a lag of 1 month). A significant negative correlation was detected between the elevation of blocks (i.e., intermediate-level administrative districts) and annual malaria reporting. CONCLUSION: The presence of space-time clustering of malaria cases and its correlation with meteorological and physiographic factors indicate that routine spatial analysis of the surveillance data could help control and manage malaria outbreaks in the district.

Alarming level of severe acute malnutrition in Indian districts.

Over the last two decades, severe acute malnutrition (SAM) has been increasing in India despite favourable national-level economic growth. The latest round of the National Family Health Survey 5 (NFHS-5) results was released, allowing us to assess changes in the malnutrition trends. Analysis of the previous rounds of the NFHS (NFHS-4) has already shown disturbing levels of wasting, often co-occurring with other forms of anthropometric failures. These have been shown to occur in clusters of districts across India that already needed urgent policy and programmatic action. A rapid assessment of data from NFHS-5 for some of these districts for which data are now available shows an alarming increase in SAM in several malnutrition hotspot districts. Surprisingly, some districts outside hotspots and in states and regions that have previously not been known for high malnutrition too have shown increasing SAM prevalence in the latest round. The data from NFHS-5 was collected just before the COVID-19 pandemic and hence does not yet reflect the likely impact of the pandemic on food security, livelihoods and other social stressors among the most marginalised Indian households. Based on this emerging pattern of increasing SAM, we call for an urgent policy and programmatic action to strengthen the Anganwadi system, which caters to preschool children in India and community-based management of acute malnutrition based on recent evidence on their effectiveness.

Development and Use of a Reproducible Framework for Spatiotemporal Climatic Risk Assessment and its Association with Decadal Trend of Dengue in India.

Introduction: The study aimed to develop a reproducible, open-source, and scalable framework for extracting climate data from satellite imagery, understanding dengue's decadal trend in India, and estimating the relationship between dengue occurrence and climatic factors. Materials and Methods: A framework was developed in the Open Source Software, and it was empirically tested using reported annual dengue occurrence data in India during 2010-2019. Census 2011 and population projections were used to calculate incidence rates. Zonal statistics were performed to extract climate parameters. Correlation coefficients were calculated to estimate the relationship of dengue with the annual average of daily mean and minimum temperature and rainy days. Results: Total 818,973 dengue cases were reported from India, with median annual incidence of 6.57 per lakh population; it was high in 2019 and 2017 (11.80 and 11.55 per lakh) and the Southern region (8.18 per lakh). The highest median annual dengue incidence was observed in Punjab (24.49 per lakh). Daily climatic data were extracted from 1164 coordinate locations across the country for the decadal period (4,249,734 observations). The annual average of daily temperature and rainy days positively correlated with dengue in India (r = 0.31 and 0.06, at P < 0.01 and 0.30, respectively). Conclusion: The study provides a reproducible algorithm for bulk climatic data extraction from research-level satellite imagery. Infectious disease models can be used to understand disease epidemiology and strengthen disease surveillance in the country.

Biomarkers in the Prediction of Hemorrhagic Transformation in Acute Stroke: A Systematic Review and Meta-Analysis.

BACKGROUND: Hemorrhagic transformation (HT) is a complication that occurs spontaneously or after thrombolysis in acute ischemic stroke (AIS) and can increase morbidity and mortality. The association of biomarkers with the risk of HT has been variably reported. We conducted a systematic review of the literature and meta-analysis and sought to compare blood biomarkers associated with HT and its subtypes by evaluating its predictability and correlation with outcome in AIS. METHODS: The study protocol was registered in the PROSPERO database (CRD42020201334) and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Among 2,230 articles identified from Cochrane Library, PubMed, and Web of Science databases, 30 quality-appraised articles were found eligible. Meta-analysis was conducted for matrix metalloproteinase-9 (MMP-9), cellular fibronectin (c-Fn), ferritin, S100 calcium-binding protein B (S100B), and neutrophil-lymphocyte ratio (NLR). We also reviewed biomarkers for correlation with the functional outcome at 90 days from stroke onset (poor outcome modified Rankin scale >2). RESULTS: The pooled diagnostic odds ratio (DORpooled) was the highest for baseline c-Fn levels (299.253 [95% CI, 20.508-4,366.709]), followed by MMP-9 (DORpooled, 29.571 [95% CI 17.750-49.267]) and ferritin (DORpooled, 24.032 [95% CI 2.557-225.871]). However, wide confidence intervals for ferritin and c-Fn suggested lesser reliability of the markers. Patients with MMP-9 levels ≥140 ng/mL were 29.5 times at higher risk of developing symptomatic HT after AIS (area under the curve = 0.881). S100B (DORpooled, 6.286 [95% CI, 1.861-21.230]) and NLR (DORpooled, 5.036 [95% CI, 2.898-8.749]) had lower diagnostic accuracies. Among the markers not included for meta-analysis, caveolin-1, thrombin-activated fibrinolysis inhibitor, plasminogen activator inhibitor-1, and soluble ST2 were highly sensitive. Elevated levels of MMP-9, ferritin, and NLR were found to be associated with poor functional outcomes and mortality. CONCLUSION: Of the 5 biomarkers, there was enough evidence that MMP-9 has higher diagnostic accuracy for predicting the risk of HT before thrombolysis. MMP-9, ferritin, and NLR also predicted poor short-term outcomes.

Medication-Adherence and Management of Risk Factors for Secondary Prevention of Stroke Using Smartphone-Based Application: Protocol for MAMORs-Randomized Controlled Trial.

Background: In LMICs, the medication adherence and risk factor control are suboptimal in the post-stroke follow-up period. With shortage of physicians, smartphone-based interventions can help stroke survivors in secondary stroke prevention. Objectives: We aim to validate a digital innovative technology-based intervention to improve the awareness, medication adherence, control of risk factors through timely intervention of physician among the stroke survivors. Methods: MAMOR is a smartphone-based application to improve the stroke awareness by heath education materials, reminders to timely adherence of medication, alerts on control of risk factors, video files, and timely physician intervention. The study will involve development of the app using contextual research (Delphi qualitative method) followed by a randomized, single center, double arm-controlled trial with 1:1 assignment. The app will be evaluated over a period of 6 months with a target to enroll 192 participants. Process evaluation will be conducted. The sample size was calculated as 192, considering medication adherence of 43.8%, 20% increase in medication adherence by app, power of 80%, and 10% loss to follow-up. Results: The primary outcome will be medication adherence, changes in the lifestyle and behavioral and control of vascular risk factors. The secondary outcome will include vascular events and functional outcome. Conclusion: This study will be one among the few studies for secondary prevention of stroke through digital technology innovation in LMICs with resource constraints. The evidences generated from this study will provide translational evidence for other similar settings for stroke survivors.

Spatiotemporal epidemiology and forecasting of dengue in the state of Punjab, India: Study protocol.

Dengue burden in India is a major public health problem. The present study has been designed to understand mechanisms by which routine data generate evidence. Secondary data analysis of routine datasets to understand spatiotemporal epidemiology and forecast dengue will be conducted. Data science approach will be adopted to generate a reproducible framework in the R environment. The lab-confirmed dengue reported by the state health authorities from 01 January 2015 to 31 December 2019 will be included. Multiple climatic variables from satellite imagery, climatic models, vegetation and built-up indices, and sociodemographic variables will be explored as risk factors. Exploratory data analysis followed by statistical analysis and machine learning will be performed. Data analysis will include geospatial information analysis, time series analysis, and spatiotemporal analysis. The study will provide value addition to the existing disease surveillance mechanisms by developing a framework for incorporating multiple routine data sources available in the country.