Heart rate variability during head-up tilt shows inter-individual differences among healthy individuals of extreme Prakriti types.

Autonomic modulation is critical during various physiological activities, including orthostatic stimuli and primarily evaluated by heart rate variability (HRV). Orthostatic stress affects people differently suggesting the possibility of identification of predisposed groups to autonomic dysfunction-related disorders in a healthy state. One way to understand this kind of variability is by using Ayurvedic approach that classifies healthy individuals into Prakriti types based on clinical phenotypes. To this end, we explored the differential response to orthostatic stress in different Prakriti types using HRV. HRV was measured in 379 subjects(Vata = 97, Pitta = 68, Kapha = 68, and Mixed Prakriti = 146) from two geographical regions(Vadu and Delhi NCR) for 5 min supine (baseline), 3 min head-up-tilt (HUT) at 60°, and 5 min resupine. We observed that Kapha group had lower baseline HRV than other two groups, although not statistically significant. The relative change (%Δ1&2 ) in various HRV parameters in response to HUT was although minimal in Kapha group. Kapha also had significantly lower change in HR, LF (nu), HF (nu), and LF/HF than Pitta in response to HUT. The relative change (%Δ1 ) in HR and parasympathetic parameters (RMSSD, HF, SD1) was significantly greater in the Vata than in the Kapha. Thus, the low baseline and lower response to HUT in Kapha and the maximum drop in parasympathetic activity of Vata may indicate a predisposition to early autonomic dysfunction and associated conditions. It emphasizes the critical role of Prakriti-based phenotyping in stratifying the differential responses of cardiac autonomic modulation in various postures among healthy individuals across different populations.

Prevalence, time trends and treatment practices of asthma in India: the Global Asthma Network study.

Objective: The objective of this subanalysis of data from centres across urban areas in India of the Global Asthma Network (GAN) was to study 1) the prevalence of symptoms of asthma in children and adults, 2) the change in prevalence of asthma and its trigger factors since the International Study of Asthma and Allergies in Childhood (ISAAC), and 3) current asthma treatment practice. Methods: In this cross-sectional, multicentre, school-based and self-administered questionnaire, responses from children aged 6-7 years and 13-14 years, and their respective parents, were analysed. Results: The GAN Phase I study included 20 084 children in the 6-7-year age group, 25 887 children in the 13-14-year age group and 81 296 parents. The prevalence of wheeze in the previous 12 months was 3.16%, 3.63% and 3.30% in the three groups, respectively. In comparison to the ISAAC studies, there was a significant reduction in the prevalence of current wheeze (p<0.001). Bivariate analysis revealed a significant reduction in the prevalence of trigger factors. Almost 82% of current wheezers and 70% of subjects with symptoms of severe asthma were not clinically diagnosed as having asthma. The daily use of inhaled corticosteroids (ICS) was less than 2.5% in subjects with current wheeze and those with symptoms of severe asthma but less than 1% used daily ICS when asthma remained undiagnosed. Conclusion: The prevalence of current wheeze and its causal factors showed a significant reduction compared to previous ISAAC studies. Among subjects with current wheeze and symptoms of severe asthma, the problem of under-diagnosis and under-treatment was widespread.

Systematic Review of Physical Activity, Sedentary Behaviour and Sleep Among Adults Living with Chronic Respiratory Disease in Low- and Middle-Income Countries.

Abstract: Physical activity (PA), sedentary behaviour (SB) and sleep are important lifestyle behaviours associated with chronic respiratory disease (CRD) morbidity and mortality. These behaviours need to be understood in low- and middle-income countries (LMIC) to develop appropriate interventions. Purpose: Where and how have free-living PA, SB and sleep data been collected for adults living with CRD in LMIC? What are the free-living PA, SB and sleep levels of adults living with CRD? Patients and Methods: The literature on free-living PA, SB and sleep of people living with CRD in LMIC was systematically reviewed in five relevant scientific databases. The review included empirical studies conducted in LMIC, reported in any language. Reviewers screened the articles and extracted data on prevalence, levels and measurement approach of PA, SB and sleep using a standardised form. Quality of reporting was assessed using bespoke criteria. Results: Of 89 articles, most were conducted in Brazil (n=43). PA was the commonest behaviour measured (n=66). Questionnaires (n=52) were more commonly used to measure physical behaviours than device-based (n=37) methods. International Physical Activity Questionnaire was the commonest for measuring PA/SB (n=11). For sleep, most studies used Pittsburgh Sleep Quality Index (n=18). The most common ways of reporting were steps per day (n=21), energy expenditure (n=21), sedentary time (n=16), standing time (n=13), sitting time (n=11), lying time (n=10) and overall sleep quality (n=32). Studies revealed low PA levels [steps per day (range 2669-7490steps/day)], sedentary lifestyles [sitting time (range 283-418min/day); standing time (range 139-270min/day); lying time (range 76-119min/day)] and poor sleep quality (range 33-100%) among adults with CRD in LMIC. Conclusion: Data support low PA levels, sedentary lifestyles and poor sleep among people in LMIC living with CRDs. More studies are needed in more diverse populations and would benefit from a harmonised approach to data collection for international comparisons.

Whole Exome Sequencing in Healthy Individuals of Extreme Constitution Types Reveals Differential Disease Risk: A Novel Approach towards Predictive Medicine.

Precision medicine aims to move from traditional reactive medicine to a system where risk groups can be identified before the disease occurs. However, phenotypic heterogeneity amongst the diseased and healthy poses a major challenge for identification markers for risk stratification and early actionable interventions. In Ayurveda, individuals are phenotypically stratified into seven constitution types based on multisystem phenotypes termed "Prakriti". It enables the prediction of health and disease trajectories and the selection of health interventions. We hypothesize that exome sequencing in healthy individuals of phenotypically homogeneous Prakriti types might enable the identification of functional variations associated with the constitution types. Exomes of 144 healthy Prakriti stratified individuals and controls from two genetically homogeneous cohorts (north and western India) revealed differential risk for diseases/traits like metabolic disorders, liver diseases, and body and hematological measurements amongst healthy individuals. These SNPs differ significantly from the Indo-European background control as well. Amongst these we highlight novel SNPs rs304447 (IFIT5) and rs941590 (SERPINA10) that could explain differential trajectories for immune response, bleeding or thrombosis. Our method demonstrates the requirement of a relatively smaller sample size for a well powered study. This study highlights the potential of integrating a unique phenotyping approach for the identification of predictive markers and the at-risk population amongst the healthy.

Global Asthma Network Phase I, India: Results for allergic rhinitis and eczema in 127,309 children and adults.

Background: The Global Asthma Network phase I study in India aimed to study the prevalence, time trends, and associated risk factors of allergic rhinitis and eczema among 6-7-year-old, and 13-14-year-old school children and their parents. Objectives: The objective of the study was to understand the current prevalence and associated risk factors of Allergic Rhinitis and Eczema in India among 6-7-year-olds, 13-14-year-olds and in their parents/guardians for newer directions to health care providers, policy makers and academicians. Methods: Cross-sectional, multicenter study using self- and parent-administered questionnaire among randomly selected school children aged 6 to 7 years from 8 centers and 13 to 14 years from 9 centers and their respective parents/guardians across India. Results: Prevalence of allergic rhinitis (AR) (%, 95% CI) among 20,084 6-7-year-olds (children), 25,887 13-14-year-olds (adolescents), and 81,296 adults/parents was 7.7% (7.4%-8.1%), 23.5% (23.0%-24.1%), and 9.8% (9.55%-9.96%) and that of eczema was 2.5% (2.3%-2.7%), 3.5% (3.27%-3.71%), and 9.9% (9.7%-10.1%), respectively. Among 6-7-year-olds, AR and eczema showed a significantly (P < .001) declining time trend since the International Study of Asthma and Allergies in school children phase III in 2002-2003. Among 13-14-year-olds, AR (P < .01) but not eczema showed a significant temporal decline. Coexisting atopic condition, parental history of atopy, and some environmental factors consistent with previous studies were significant risk factors among children and adolescents. AR or eczema in either parent strongly predicted the same atopic condition among their adolescent offspring. Among adults, coexisting atopic condition was the strongest predictor of either AR or eczema. Conclusions: There is a slight declining time trend of AR and eczema in India over 2 decades among children and adolescents. Nearly 10% of Indian adults suffer from AR and eczema. Although genetic factors had the strongest association for AR and eczema among all age groups, certain early-life and environmental exposures need consideration to devise preventative strategies.

Improving public health service delivery response to address contraceptive needs of socio-economically disadvantaged HIV positive people in Maharashtra, India.

BACKGROUND: People living with HIV (PLHIV) receive free antiretroviral treatment (ART) in public health facilities of India. With improved life expectancy, unmet sexual and reproductive health needs of PLHIV have to be addressed through a converged programmatic response strategy. Evidence shows that socioeconomically disadvantaged women are most vulnerable to high reproductive morbidities, especially HIV positive women with an unmet need of contraception. METHODS: Programmatic convergence by linking ART and family planning services were strengthened at two public health facilities (district hospitals) generally accessed by disadvantaged socio-economic sections of the society. Barriers to linking services including stigma and discrimination were addressed through analysis of existing linkage situation, sensitization and training of healthcare providers and system-level interventions. This facilitated provider-initiated assessment of contraceptive needs of PLHIV, counseling about dual contraception using a couple approach, linkage to family planning centers and maintaining data about these indicators. Six hundred eligible PLHIV seeking care at ART centers were enrolled and followed up for a duration of 6 months. Acceptance of family planning services as a result of the intervention, use of dual contraception methods and their determinants were assessed. RESULTS: Eighty-seven percent HIV couples reached FP centers and 44.6% accepted dual methods at the end of the study period. Dual methods such as oral contraceptive pills (56.2%), IUCDs (19.4%), female sterilization (11.6%), injectable contraception (9.9%) and vasectomy (2.9%) in addition to condoms were the most commonly accepted methods. Condom use remained regular and consistently high throughout. The study witnessed seven unintended pregnancies, all among exclusive condom users. These women availed medical abortion services and accepted dual methods after counseling. Female index participants, concordant couples, counseling by doctors and women with CD4 count above 741 had higher odds of accepting dual contraception methods. Standard operating procedures (SOP) were developed in consultation with key stakeholders to address operational linkage of HIV and family programs. CONCLUSION: The study saw significant improvement in acceptance of dual contraception by PLHIV couples as a result of the intervention. Implementation of SOPs with supportive supervision can ensure efficient linkage of programs and provide holistic sexual and reproductive healthcare for PLHIV in India.

"There Is No Link Between Resource Allocation and Use of Local Data": A Qualitative Study of District-Based Health Decision-Making in West Bengal, India.

BACKGROUND: Effective coordination among multiple departments, including data-sharing, is needed for sound decision-making for health services. India has a district planning process involving departments for local resource-allocation based on shared data. This study assesses the decision-making process at the district level, with a focus on the extent of local data-use for resource allocation for maternal and child health. METHODS: Direct observations of key decision-making meetings and qualitative interviews with key informants were conducted in two districts in the State of West Bengal, India. Content analysis of the data maintained within the district health system was done to understand the types of data available and sharing mechanisms. This information was triangulated thematically based on WHO health system blocks. RESULTS: There was no structured decision-making process and only limited inter-departmental data-sharing. Data on all 21 issues discussed in the district decision-making meetings observed were available within the information systems. Yet indicators for only nine issues-such as institutional delivery and immunisation services were discussed. Discussions about infrastructure and supplies were not supported by data, and planning targets were not linked to health outcomes. CONCLUSION: Existing local data is highly under-used for decision-making at the district level. There is strong potential for better interaction between departments and better use of data for priority-setting, planning and follow-up.

Western Indian Rural Gut Microbial Diversity in Extreme Prakriti Endo-Phenotypes Reveals Signature Microbes.

Heterogeneity amidst healthy individuals at genomic level is being widely acknowledged. This, in turn, is modulated by differential response to environmental cues and treatment regimens, necessitating the need for stratified/personalized therapy. We intend to understand the molecular determinants of Ayurvedic way (ancient Indian system of medicine) of endo-phenotyping individuals into distinct constitution types termed "Prakriti," which forms the basis of personalized treatment. In this study, we explored and analyzed the healthy human gut microbiome structure within three predominant Prakriti groups from a genetically homogenous cohort to discover differentially abundant taxa, using 16S rRNA gene based microbial community profiling. We found Bacteroidetes and Firmicutes as major gut microbial components in varying composition, albeit with similar trend across Prakriti. Multiple species of the core microbiome showed differential abundance within Prakriti types, with gender specific signature taxons. Our study reveals that despite overall uniform composition of gut microbial community, healthy individuals belonging to different Prakriti groups have enrichment of specific bacteria. It highlights the importance of Prakriti based endo-phenotypes to explain the variability amongst healthy individuals in gut microbial flora that have important consequences for an individual's health, disease and treatment.

Recapitulation of Ayurveda constitution types by machine learning of phenotypic traits.

In Ayurveda system of medicine individuals are classified into seven constitution types, "Prakriti", for assessing disease susceptibility and drug responsiveness. Prakriti evaluation involves clinical examination including questions about physiological and behavioural traits. A need was felt to develop models for accurately predicting Prakriti classes that have been shown to exhibit molecular differences. The present study was carried out on data of phenotypic attributes in 147 healthy individuals of three extreme Prakriti types, from a genetically homogeneous population of Western India. Unsupervised and supervised machine learning approaches were used to infer inherent structure of the data, and for feature selection and building classification models for Prakriti respectively. These models were validated in a North Indian population. Unsupervised clustering led to emergence of three natural clusters corresponding to three extreme Prakriti classes. The supervised modelling approaches could classify individuals, with distinct Prakriti types, in the training and validation sets. This study is the first to demonstrate that Prakriti types are distinct verifiable clusters within a multidimensional space of multiple interrelated phenotypic traits. It also provides a computational framework for predicting Prakriti classes from phenotypic attributes. This approach may be useful in precision medicine for stratification of endophenotypes in healthy and diseased populations.