Prevalence of vitamin D deficiency and effect of vitamin D supplementation on feto-maternal outcome in tertiary care centre

Background: Vitamin D deficiency is widely prevalent throughout the world. Pregnant women, neonates and infants form most vulnerable groups for vitamin D deficiency. Hypovitaminosis D in pregnancy has been reported to cause various fetomaternal effect, i.e. increased risk of preeclampsia (PE), gestational diabetes mellitus (GDM), caesarean section, hypocalcemia, subclinical myopathy, neonatal tetany, hyperbilirubinemia congenital rickets and infantile rickets, etc. Only few Indian studies are available in this regard. The objectives are to find prevalence of vitamin D deficiency in pregnant women and to evaluate the effect of supplementation with cholecalciferol in improving vitamin D levels in pregnant women and evaluate its correlation with feto-maternal outcome.Methods: A prospective observational was conducted on 120 Pregnant women on their first visit to hospital irrespective of gestational age were offered the test and on the basis of inclusion and exclusion criteria are included in study and vitamin D level was done to know the prevalence of vitamin D deficiency. Apart from routine obstetrical investigation, serum vitamin D (total) level was estimated. All results were recorded and analyzed statically.Results: Out of 120 patients 101 (84.1%) were found to be vitamin D deficient. Mean age of vitamin D deficient group was 28.31±3.86 and sufficient group was 26.37±2.83.81 (67.5%) were vegetarian and 39 (32.5%) were nonvegetarian.75 (92.59%) vegetarian and 26 (66.66%) non-vegetarian found to be vitamin D deficient. (p<0.05). Vitamin D supplementation has been observed to reduce risk of preeclampsia. (p<0.05) and vitamin D sufficiency associated with reduced risk of low birth weight babies.Conclusions: Vitamin D supplementation reduces risk of maternal comorbidities and helps improve neonatal outcomes

Development and Implementation of Integrated Road Traffic Injuries Surveillance – India (IRIS-India): A Protocol

Road traffic accidents stand as one of the leading causes of mortality and morbidity across the globe. The reasons for the high burden of road traffic injuries (RTIs) in developing countries are increasing in the number of motor vehicles, poor enforcement of traffic safety regulations, inadequacy of health infrastructure and poor transport facility. However, the systematic collection of road traffic data is not well developed in many developing countries including India and under-reporting of RTIs and deaths are common. Hence, surveillance of RTIs is recommended to assess the burden, to identify high-risk groups, to establish an association with probable risk factors and to plan interventions to control the RTIs. The broad objective of this study is to establish an electronic-based comprehensive and integrated RTI surveillance system, to assess the burden of RTIs, its risk factors and outcomes across rural and urban settings in India. This study with the support of the Indian Council of Medical Research (ICMR) is progressing in three cities (Chennai, Delhi and Jaipur) and two rural areas (Chittoor and Tehri-Garhwal). At each centre, major sources of data can be categorized under two categories including health facilities and community. In urban areas, one trauma centre, one private hospital and a community of 10000-population are included in the study. In rural areas, a district hospital, a private nursing home and two sub-centres areas of different primary health centres at each site are included for the surveillance. Passive surveillance is done at the trauma centres/district hospitals, while active surveillance is done in private hospitals/nursing homes, sub-centres and communities. Before establishing the surveillance system, situational analysis has been undertaken. Surveillance-related software was developed during the preparatory stage. This electronic surveillance platform allowed to gather data electronically across multiple sites. This internet-enabled surveillance platform has several modules to capture and analyse the data. The present study provides a model of surveillance including both passive and active surveillance to cover maximum number of RTIs. This study further provides the first comprehensive epidemiology of RTIs. The results of these studies will contribute to the setting of research and investment priorities to tackle the burden of RTIs

Development and Implementation of Integrated Road Traffic Injuries Surveillance – India (IRIS-India): A Protocol

Road traffic accidents stand as one of the leading causes of mortality and morbidity across the globe. The reasons for the high burden of road traffic injuries (RTIs) in developing countries are increasing in the number of motor vehicles, poor enforcement of traffic safety regulations, inadequacy of health infrastructure and poor transport facility. However, the systematic collection of road traffic data is not well developed in many developing countries including India and under-reporting of RTIs and deaths are common. Hence, surveillance of RTIs is recommended to assess the burden, to identify high-risk groups, to establish an association with probable risk factors and to plan interventions to control the RTIs. The broad objective of this study is to establish an electronic-based comprehensive and integrated RTI surveillance system, to assess the burden of RTIs, its risk factors and outcomes across rural and urban settings in India. This study with the support of the Indian Council of Medical Research (ICMR) is progressing in three cities (Chennai, Delhi and Jaipur) and two rural areas (Chittoor and Tehri-Garhwal). At each centre, major sources of data can be categorized under two categories including health facilities and community. In urban areas, one trauma centre, one private hospital and a community of 10000-population are included in the study. In rural areas, a district hospital, a private nursing home and two sub-centres areas of different primary health centres at each site are included for the surveillance. Passive surveillance is done at the trauma centres/district hospitals, while active surveillance is done in private hospitals/nursing homes, sub-centres and communities. Before establishing the surveillance system, situational analysis has been undertaken. Surveillance-related software was developed during the preparatory stage. This electronic surveillance platform allowed to gather data electronically across multiple sites. This internet-enabled surveillance platform has several modules to capture and analyse the data. The present study provides a model of surveillance including both passive and active surveillance to cover maximum number of RTIs. This study further provides the first comprehensive epidemiology of RTIs. The results of these studies will contribute to the setting of research and investment priorities to tackle the burden of RTIs

Household transmission investigation for Corona Virus Disease 2019 (COVID-19) in a rural and urban population of north India.

BackgroundTransmissibility within closed settings, such as households, can provide a strategic way to characterize the virus transmission patterns because the denominator can be well defined. We aimed to characterize the household transmission of Severe Acute Respiratory Syndrome Coronavirus (SARS CoV-2) and its associated risk factors.MethodsThis prospective case-ascertained study was conducted among the household contacts of laboratory-confirmed SARS CoV-2 cases residing in Ballabgarh, Haryana. We enrolled 148 index cases and their 645 household contacts between December 16, 2020 and June 24, 2021. We defined household contact as any person who had resided in the same household as a confirmed COVID-19 case. Baseline data collection and sample collection for real time- reverse transcriptase polymerase chain reaction (RT-PCR) and IgM/IgG against SARS CoV-2 were done on day 1 visit, and followed for a period of 28 days. RT-PCR was repeated on day 14 or whenever the contact is symptomatic and blood sample for serology was repeated on day 28. We estimated household secondary infection rate (SIR) and other epidemiological indicators-median incubation period and serial interval. We employed binomial logistic regression to quantify risk factors associated with infection.ResultsThe household SIR was 30.5% (95% CI: 27.1-34.1%). The secondary clinical attack rate was 9.3% (95% CI: 7.2-11.8). The risk factors that showed higher susceptibility to infection were household contacts who were the primary care giver of the case, whose index cases were symptomatic, those with underlying medical conditions, those living in overcrowded households, who were sharing toilet with the index cases and also who were not wearing a mask when coming in contact with the case. The median (IQR) incubation period was 4 days (4, 5), mean (SD) serial interval 6.4 (±2.2) days, and median (IQR) serial interval 5 days (5, 7).ConclusionHouseholds favour secondary transmission of SARS CoV- 2, hence, index cases are recommended to self-isolate and wear masks; and household contacts to follow strict COVID infection control measures within households when a family member is infected

Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020

Background: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. Methods: For this analysis, we constructed burden-weighted dose–response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15–95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. Findings: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15–39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0–0) and 0·603 (0·400–1·00) standard drinks per day, and the NDE varied between 0·002 (0–0) and 1·75 (0·698–4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0–0·403) to 1·87 (0·500–3·30) standard drinks per day and an NDE that ranged between 0·193 (0–0·900) and 6·94 (3·40–8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3–65·4) were aged 15–39 years and 76·9% (73·0–81·3) were male. Interpretation: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attributable to alcohol. Funding: Bill & Melinda Gates Foundation

Global injury morbidity and mortality from 1990 to 2017: Results from the global burden of disease study 2017

Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care

Estimating global injuries morbidity and mortality : methods and data used in the Global Burden of Disease 2017 study

Background: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future

Estimating global injuries morbidity and mortality : methods and data used in the Global Burden of Disease 2017 study

Background While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.Peer reviewe

Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019

Background: Health-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019. Methods: We distinguished the overall HAQ Index (ages 0–74 years) from scores for select age groups: the young (ages 0–14 years), working (ages 15–64 years), and post-working (ages 65–74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development. Findings: Between 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9–21·3), as well as among the young (22·5, 19·9–24·7), working (17·2, 15·2–19·1), and post-working (15·1, 13·2–17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6–33·0) on average in low-SDI countries to 83·4 (82·4–84·3) on average in high-SDI countries. Similarly large ranges between low-SDI and high-SDI countries, respectively, were estimated in the HAQ Index for the young (40·4–89·0), working (33·8–82·8), and post-working (30·4–79·1) groups. Absolute convergence in HAQ Index was estimated in the young group only. In contrast, divergence was estimated among the working and post-working groups, driven by slow progress in low-SDI countries. Interpretation: Although major gaps remain across levels of social and economic development, convergence in the young group is an encouraging sign of reduced disparities in health-care access and quality. However, divergence in the working and post-working groups indicates that health-care access and quality is lagging at lower levels of social and economic development. To meet the needs of ageing populations, health systems need to improve health-care access and quality for working-age adults and older populations while continuing to realise gains among the young. Funding: Bill & Melinda Gates Foundation