Traffic Noise Assessment in Urban Puducherry, South India.

Background Noise pollution is an emerging global problem that can affect people's well-being and mental and physical health. In India, six percent of people suffer hearing loss, and prolonged exposure leads to irreversible noise-induced hearing loss. Objective To assess the noise levels at selected residential, commercial, industrial, silence zones, traffic junctions, and related noise indices in urban Puducherry and compare them with Central Pollution Control Board (CPCB) standards. Methods The study was conducted using a cross-sectional noise survey based on the 2015 study sites in urban Puducherry using a sound level meter, analyzed the results with limits set by the CPCB standards, and calculated the various noise indices. Results In urban Puducherry, the noise level showing silence zones is more hazardous than industrial, residential, commercial, and traffic junctions. Out of the 36 sites surveyed, 33 locations are above the prescribed daytime limit by CPCB. Conclusions The noise assessment at selected sites in urban Puducherry shows that around 92% of study sites are well above the daytime standards of CPCB, highlighting an urgent need to curb noise levels. The findings revealed that increased noise at study sites could be due to the increased number of vehicles and transportation systems.

Prevalence and the factors associated with microalbuminuria among patients with type 2 diabetes mellitus and/or hypertension in the urban areas of Puducherry district: a cross-sectional study.

BACKGROUND: Microalbuminuria is an early indicator for renal and cardiovascular diseases, especially among patients with diabetes mellitus (DM) and hypertension (HTN). We determined the prevalence and the factors associated with microalbuminuria among patients with type 2 DM and/or HTN in the urban areas of the Puducherry district in India. METHODS: We included 225 patients aged 40-69 years with DM and/or HTN from a non-communicable diseases (NCDs) survey conducted during 2019-2020 in the urban areas of Puducherry district. The prevalence of microalbuminuria and various biological risk factors of NCDs were assessed as per the WHO STEPS methodology. The prevalence of microalbuminuria was presented as proportions (95% CI), and the adjusted prevalence ratio (aPR) was estimated using weighted forward stepwise generalized linear modelling. P-value ≤0.05 was considered statistically significant. RESULTS: The mean (SD) age of the patients was 54 (11) years. Over one-third (38.2%) (95% CI: 31.6-44.4) of patients with DM and/or HTN had microalbuminuria. The prevalence was highest among those having both DM and HTN 48% (95% CI: 37-59), followed by those having only DM 40.6% (95% CI: 29-52.2) and only HTN 27.7% (95% CI: 18.1-38.6). The prevalence of microalbuminuria was twice (aPR = 2.1, 95% CI: 1.1-3.9) higher among women and 2.4 times (95% CI: 1.12-5.1) higher among those having both DM and HTN as compared to those with only HTN. CONCLUSION: The prevalence of microalbuminuria among patients with DM and/or HTN is concerningly high. Population-based screening for microalbuminuria, especially among women and those having both DM and HTN, needs to be undertaken in the urban areas of Puducherry district.

Microalbuminuria serves as an early indicator for kidney and cardiovascular diseases, especially among patients with diabetes mellitus (DM) and hypertension (HTN). Our study focussed on determining the prevalence of microalbuminuria among individuals with type 2 DM and/or HTN in the urban areas of the Puducherry district in India. We included 225 patients aged 40­69 years with DM and/or HTN who participated in a non-communicable diseases (NCDs) survey conducted during 2019­2020 in urban Puducherry. We found that over one-third (38.2%) of patients with DM and/or HTN had microalbuminuria. The prevalence was highest among those having both DM and HTN (48%), followed by those having only DM (40.6%) and only HTN (27.7%). The prevalence of microalbuminuria was 2.1 times higher among women than men and 2.4 times higher among individuals with both DM and HTN compared to those with only HTN. These findings highlight the concerningly high prevalence of microalbuminuria among patients with DM and/or HTN in the urban areas of Puducherry district. To address this issue, it is crucial that the public health authorities of Puducherry district implement population-based screening initiatives for microalbuminuria, particularly targeting women and individuals with both DM and HTN in the urban areas of the Puducherry district.

Perception of Noise Pollution Among Youths and Adults in Urban Puducherry, South India.

Objective The study seeks to assess the perceptions of people on evaluating the sources of noise, noise-induced health issues, and noise regulation awareness among the exposed population present in the study site of urban Puducherry, South India. Methods A cross-sectional survey using a pre-tested semi-structured questionnaire was conducted between July and August 2021 in 32 study sites in urban Puducherry to evaluate how adults and youth perceive noise pollution. The questionnaire gathered details on their sociodemographic characteristics, knowledge of the problems associated with noise pollution, source of noise pollution, effects of noise on health, and awareness of regulations related to noise pollution. Results Half of the study participants perceive that noise pollution is a problem in their localities; the majority feel disturbed by that noise; and the most prevalent reason given for noise pollution is traffic noise. Most of the participants reported that trouble paying attention to work or conversations was the most frequent health impact of noise pollution. Participants who are employed, have formal education, belong to families above the poverty line, and reside near the main road and sub-main road (less than 200 meters) showed a significant association (p-value <0.05) with perceived noise pollution problems. Conclusion Based on the findings, it can be concluded that respondents in urban Puducherry perceive traffic noise as the most common source of noise pollution. The majority of the participants felt that the excessive noise made it difficult for them to focus on their work. Individuals who reside or work close to a major highway and outdoor workers believe noise pollution is a big problem.

Hypertension Control Status Among Patients Receiving Treatment From Selected Primary Health Centres in Puducherry: A Cohort-Analysis Approach.

BACKGROUND:  High blood pressure (hypertension) is a major risk factor contributing to 60% of premature deaths caused by non-communicable diseases. In India, a mere 15% of the hypertensive population achieves optimal blood pressure control. Effective monitoring of hypertension is crucial for mitigating the morbidity and mortality associated with cardiovascular diseases. OBJECTIVE: This study employed a cohort analysis approach to determine the control status of hypertension and identify factors associated with hypertension among individuals seeking care at selected primary health centres (PHCs) in Puducherry from January 2019 to December 2022. METHODOLOGY: We assessed treatment records of 1127 patients with hypertension registered at PHCs in both urban and rural areas between 2019 and 2022. Information on socio-demographic details and blood pressure readings was collected to assess the control status of hypertension on a quarterly and six-monthly basis. Additionally, 436 patients were interviewed to identify factors associated with uncontrolled hypertension. RESULTS: Control rates of hypertension varied among PHCs on a quarterly and six-monthly basis. The rural PHC achieved the highest quarterly control rate of 80% in Q4 2020, while the urban PHC had the lowest rate of 44% in Q1 2020. Similarly, the highest six-monthly control rate of 78% was observed in Q3 2019 at both rural and urban PHCs, with the lowest rate of 44% in Q1 2020 at the urban PHC.  Conclusion: Analysing data obtained from regular monitoring of hypertension control status allows healthcare providers to identify patterns, trends, and correlations. It assists providers in making informed decisions regarding treatment adjustments, medication choices, lifestyle recommendations, and policy changes. This approach is expected to improve control status for hypertension, leading to the ultimate goal of better health outcomes for patients.

Observer Performance Evaluation of a Deep Learning Model for Multilabel Classification of Active Tuberculosis Lung Zone-Wise Manifestations.

Background Chest X-rays (CXRs) are widely used for cost-effective screening of active pulmonary tuberculosis despite their limitations in sensitivity and specificity when interpreted by clinicians or radiologists. To address this issue, computer-aided detection (CAD) algorithms, particularly deep learning architectures based on convolution, have been developed to automate the analysis of radiography imaging. Deep learning algorithms have shown promise in accurately classifying lung abnormalities using chest X-ray images. In this study, we utilized the EfficientNet B4 model, which was pre-trained on ImageNet with 380x380 input dimensions, using its weights for transfer learning, and was modified with a series of components including global average pooling, batch normalization, dropout, and a classifier with 12 image-wise and 44 segment-wise lung zone evaluation classes using sigmoid activation. Objectives Assess the clinical usefulness of our previously created EfficientNet B4 model in identifying lung zone-specific abnormalities related to active tuberculosis through an observer performance test involving a skilled clinician operating in tuberculosis-specific environments. Methods The ground truth was established by a radiologist who examined all sample CXRs to identify lung zone-wise abnormalities. An expert clinician working in tuberculosis-specific settings independently reviewed the same CXR with blinded access to the ground truth. Simultaneously, the CXRs were classified using the EfficientNet B4 model. The clinician's assessments were then compared with the model's predictions, and the agreement between the two was measured using the kappa coefficient, evaluating the model's performance in classifying active tuberculosis manifestations across lung zones. Results The results show a strong agreement (Kappa ≥0.81) seen for lung zone-wise abnormalities of pneumothorax, mediastinal shift, emphysema, fibrosis, calcifications, pleural effusion, and cavity. Substantial agreement (Kappa = 0.61-0.80) for cavity, mediastinal shift, volume loss, and collapsed lungs. The Kappa score for lung zone-wise abnormalities is moderate (0.41-0.60) for 39% of cases. In image-wise agreement, the EfficientNet B4 model's performance ranges from moderate to almost perfect across categories, while in lung zone-wise agreement, it varies from fair to almost perfect. The results show strong agreement between the EfficientNet B4 model and the human reader in detecting lung zone-wise and image-wise manifestations. Conclusion The clinical utility of the EfficientNet B4 models to detect the abnormalities can aid clinicians in primary care settings for screening and triaging tuberculosis where resources are constrained or overburdened.

The hidden imbalance in neighbourhood nutrition environment: a perspective from lower-middle-income country setting.

Neighbourhood environment plays a pivotal role in determining the individual's nutrition through availability and accessibility of healthy food options. This community-based cross-sectional descriptive study examined neighbourhood spatial attributes using Geographical Information System (GIS) and describe perceived nutrition environment among adult residents in urban Puducherry, India. The density of grocery shops, fruits and vegetable shops, food outlets and restaurants were 64.4, 74.8 and 88.7 per km2, respectively. Out of 200 participants, 191 (95.5%) and 190 (95%) reported easy accessibility to fruits and vegetables shops and restaurants, respectively, while 192 (96%) agreed on availability of unhealthy food options in shops. Current study provides framework for assessment of objective and perceived neighbourhood nutrition environment in lower-middle-income countries with a user-friendly and easily administrable tool.

Not business as usual: Engaging the corporate sector in India's TB elimination efforts.

India has the highest global burden of tuberculosis (TB), accounting for a quarter of the worldwide TB disease incidence. Given the magnitude of India's epidemic, TB has enormous economic implications. Indeed, the majority of individuals with TB disease are in their prime years of economic productivity. Absenteeism and employee turnover due to TB have economic ramifications for employers. Furthermore, TB can easily spread in the workplace and compound the economic impact. Employers who fund workplace, community, or national TB initiatives stand to gain directly and also enjoy reputational benefits, which are important in the era of socially conscious investing. Corporate social responsibility laws in India and tax incentives can be leveraged to bring the logistical networks, reach, and innovative spirit of the private sector to bear on India's formidable TB epidemic. In this perspective piece, we explore the economic impacts of TB; opportunities for and benefits from businesses contributing to TB elimination efforts; and strategies to enlist India's corporate sector in the fight against TB.

Adherence to medical nutrition therapy and it's challenges among antenatal women with gestational diabetes mellitus in South India- A sequential explanatory mixed-method study.

BACKGROUND: Globally, one in ten pregnant women have diabetes; out of which, 90% contribute to gestational diabetes mellitus (GDM). Medical Nutrition Therapy (MNT) is the cornerstone for GDM treatment yet adherence to MNT among the masses is not adequately monitored as part of the routine antenatal services. The study aimed to estimate the proportion of adherence to MNT and determine the factors related toadherence among antenatal women with GDM. This study also explores the facilitators, barriers, and possible suggestions for improving adherence. MATERIALS AND METHODS: This facility-based sequential explanatory mixed-method study was conducted among 341 antenatal women with GDM at, Puducherry. The study was conducted in 2021. Dietary adherence was evaluated using Perceived Dietary Adherence Questionnaire and based on the scores obtained they were selected for in-depth interviews to explore the facilitators and barriers. Collected data wereanalysed by Chi-square test using STATA version 16. RESULTS: Out of 341 participants, the proportion of participants adherent to MNT was 135 (39.6%) with 95% CI of 34%-44%. Thepredictors for poor adherence were unemployment (PR: 0.65; 95%CI: 0.48-0.88) and good adherence was antenatal women in the 2nd trimester (PR: 1.541; 95%CI: 1.18-2.025). Barrierstonon-adherence were financial crisis, lack of awareness ofthe need for MNT, and joint family pressure. CONCLUSIONS: About two-thirds of antenatal women with GDM are non-adherent to MNT. Unemployment and period of gestation were found to be theirdeterminants. Appropriate action has to be implemented for improving the adherence rate.

Correlation between Quality of Life and Burden in Caregivers of Advanced Stage Cancer Patients on Best Supportive Care.

Objectives: Patients with advanced cancer with incurable diseases are generally cared for by their families in India. There is a lack of data on the perceived caregiver burden, quality of life (QOL) of patients and caregivers in India, especially among cancer patients not on any oncologic management. Material and Methods: We conducted a cross-sectional study among 220 patients of advanced cancer on best supportive care and their respective 220 family caregivers. Our primary objective was to identify a correlation between caregiver burden and QOL. After taking informed consent from both patients and caregivers, we assessed the QOL of the patient using the European Organization for the Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 15 Palliative Care (QLQ C15PAL) questionnaire from the patient, assessing the Caregiver Burden using Zarit Burden Interview, assessing the QOL of the caregiver using the WHO QOL BREF Questionnaire, in a single session during their routine follow-up in the Palliative Care Clinic of our institution. Results: We noticed a statistically significant negative (Spearman) correlation between the Caregiver Burden as assessed by Zarit Burden Interview (ZBI) and the psychological (r = -0.302, P < 0.01), social (r= -0.498, P < 0.01) and environmental (r = -0.396, P < 0.01) domains of the WHO QOL BREF Questionnaire. Caregiving Burden as assessed ZBI total score was noted to have a statistically significant negative correlation with physical functioning (r = -0.37, P < 0.01), emotional functioning (r = -0.435, P < 0.01) and global QOL scores (r = -0.499, P < 0.01) assessed from the patient using the EORTC QLQ C15 PAL questionnaire. It also had a statistically significant small positive correlation with EORTC QLQ C15 PAL symptom scores, such as dyspnoea, insomnia, constipation, nausea, fatigue and pain. The median caregiver burden score was 39, showing higher burden as compared to previous studies. Caregivers who were spouses of the patient, illiterate, homemakers, with low-income families reported higher burden. Conclusion: A high perceived caregiving burden is associated with impaired QOL in family caregivers of advanced cancer patients on best supportive care. Multiple patient related factors and demographic factors tend to affect burden of the caregiver.

Deep learning classification of active tuberculosis lung zones wise manifestations using chest X-rays: a multi label approach.

Chest X-rays are the most economically viable diagnostic imaging test for active pulmonary tuberculosis screening despite the high sensitivity and low specificity when interpreted by clinicians or radiologists. Computer aided detection (CAD) algorithms, especially convolution based deep learning architecture, have been proposed to facilitate the automation of radiography imaging modalities. Deep learning algorithms have found success in classifying various abnormalities in lung using chest X-ray. We fine-tuned, validated and tested EfficientNetB4 architecture and utilized the transfer learning methodology for multilabel approach to detect lung zone wise and image wise manifestations of active pulmonary tuberculosis using chest X-ray. We used Area Under Receiver Operating Characteristic (AUC), sensitivity and specificity along with 95% confidence interval as model evaluation metrics. We also utilized the visualisation capabilities of convolutional neural networks (CNN), Gradient-weighted Class Activation Mapping (Grad-CAM) as post-hoc attention method to investigate the model and visualisation of Tuberculosis abnormalities and discuss them from radiological perspectives. EfficientNetB4 trained network achieved remarkable AUC, sensitivity and specificity of various pulmonary tuberculosis manifestations in intramural test set and external test set from different geographical region. The grad-CAM visualisations and their ability to localize the abnormalities can aid the clinicians at primary care settings for screening and triaging of tuberculosis where resources are constrained or overburdened.

High prevalence of abdominal obesities and metabolically unhealthy individuals in a highly urbanized district of India: findings of a cross-sectional survey in Puducherry.

BACKGROUND: Abdominal obesities are better markers for predicting cardiovascular abnormalities than risk stratification based only on body mass index (BMI). We aimed to estimate the prevalence of abdominal adiposities using predictive equations for Asian Indian adults and to determine the prevalence of metabolically healthy subjects among those overweight/obese and with normal BMI. METHODS: A community-based survey was conducted among those aged 18-69 years in the district of Puducherry between February 2019 and February 2020. We surveyed 2,560 individuals selected through multi-stage cluster random sampling from urban and rural areas (50 wards and 50 villages, respectively) of the district. Anthropometric measurements, such as height, weight, waist circumference, and blood pressure were recorded from each participant. Fasting blood sample was collected from each alternate participant to estimate metabolic risk factors. RESULTS: Over four-fifths (85.6%; 95% CI: 84.2-86.9) and two-thirds (69.7%; 95% CI: 67.9-71.6) of the population in the district had high levels of intra-abdominal adipose tissue (IAAT) and total abdominal fat (TAF), respectively. Both the risk factors were significantly higher among women and urban population. About 43% (95% CI: 41-44.9) of the population had high abdominal subcutaneous adipose tissue (SCAT) with a significantly higher prevalence among the urban population. Among those overweight/obese (n = 773), almost all 99.4% (95% CI: 98.7-99.9) were metabolically unhealthy. Among subjects with normal BMI (n = 314), only about 2.9% (95% CI: 1.3-4.8) were metabolically healthy. CONCLUSION: We highlight the substantially high prevalence of IAAT, TAF, and SCAT in the district of Puducherry. Almost all the study population was metabolically unhealthy irrespective of their BMI levels.

The distribution of abdominal fat is a better predictor of cardiovascular abnormalities in an individual than the risk assessment based only on body mass index (BMI). We conducted a community-based cross-sectional survey to estimate the prevalence of abdominal adiposities using predictive equations for Asian Indian adults and determine the prevalence of metabolically healthy subjects among those overweight/obese and with normal BMI. We surveyed 2,560 adults aged 18­69 years in the district of Puducherry between February 2019 and February 2020. We recorded each participant's anthropometric measurements, such as height, weight, waist circumference, and blood pressure and collected a fasting blood sample to assess their metabolic health status. Over four-fifths (85.6%) and two-thirds (69.7%) of the population in the district had high levels of intra-abdominal adipose tissue (IAAT) and total abdominal fat (TAF), respectively. Nearly half (43%) of the population had high abdominal subcutaneous adipose tissue (SCAT). Both the risk factors were substantially higher among women and the urban population. Among those overweight/obese, almost all (99.4%) were metabolically unhealthy; among those with normal BMI, only about 2.9% were metabolically healthy. From this study, we highlight the immediate need for population-based health promotion interventions, especially among women and urban residents of Puducherry district.

Development of prognostic scoring system for predicting 1-year mortality among pulmonary tuberculosis patients in South India.

BACKGROUND: Development of a prediction model using baseline characteristics of tuberculosis (TB) patients at the time of diagnosis will aid us in early identification of the high-risk groups and devise pertinent strategies accordingly. Hence, we did this study to develop a prognostic-scoring model for predicting the death among newly diagnosed drug sensitive pulmonary TB patients in South India. METHODS: We undertook a longitudinal analysis of cohort data under the Regional Prospective Observational Research for Tuberculosis India consortium. Multivariable cox regression using the stepwise backward elimination procedure was used to select variables for the model building and the nomogram-scoring system was developed with the final selected model. RESULTS: In total, 54 (4.6%) out of the 1181 patients had died during the 1-year follow-up period. The TB mortality rate was 0.20 per 1000 person-days. Eight variables (age, gender, functional limitation, anemia, leukopenia, thrombocytopenia, diabetes, neutrophil-lymphocyte ratio) were selected and a nomogram was built using these variables. The discriminatory power was 0.81 (95% confidence interval: 0.75-0.86) and this model was well-calibrated. Decision curve analysis showed that the model is beneficial at a threshold probability ~15-65%. CONCLUSIONS: This scoring system could help the clinicians and policy makers to devise targeted interventions and in turn reduce the TB mortality in India.

Accuracy of Timika X-ray scoring system to predict the treatment outcomes among tuberculosis patients in India.

BACKGROUND: Timika scoring system is a radiographic grading tool, widely employed for grading the severity of tuberculosis (TB). We evaluated the predictive accuracy of this tool for adverse treatment outcomes among TB patients in Indian setting. METHODS: We undertook a longitudinal analysis of cohort data under the RePORT-India consortium. Cohort having participants with active pulmonary TB were included. CXRs were independently scored by chest physicians. Timika scoring system had a total score of 140. The predictive nature of the tool was assessed using the ROC analysis. RESULTS: Around 364 laboratory confirmed TB patients were enrolled. The mean (SD) of overall Timika score was 62.3 (24.9). Sputum conversion was achieved among 218/260 (83.8%) patients available at end of intensive phase. AUC for Timika score was 0.53 (95% CI: 0.43-0.63) and for percent lung affected, was 0.56 (95% CI: 0.46-0.65). Unfavorable treatment outcome was observed among 67/287 (23.3%) at the end of continuation phase. AUC for percent lung affected was 0.62 (95% CI: 0.54-0.70) and for Timika score was 0.59 (95% CI: 0.51-0.67). CONCLUSION: Both Timika scoring system and percent lung affected had poor predictive accuracy, highlighting the inability of a single CXR scoring system to predict the treatment outcome in Indian setting.

Geographical Information System-Aided Noise Pollution Mapping of Urban Puducherry, South India.

Context: Noise pollution and its influence on environmental and quality of human life are a major concern and hot topic of scientific research in the twenty-first century. Aims: Spatial analysis of noise pollution in urban Puducherry, South India. Settings and Design: Cross-sectional study conducted in 36 locations of urban Puducherry. Methods and Material: Noise measurements were taken using a calibrated NOR 132 digital sound level meter using the prescribed parameters set by the Central Pollution Control Board. Geo coordinates were taken using Garmin Oregon 550 GPS. Noise measurements were classified according to the Bureau of Indian Standards for town planning into five zones. Statistical Analysis Used: Noise pollution map of urban Puducherry for three time points of the day was generated using ArcGIS Desktop v10.3 with Geo-statistical module and Inverse Distance method. Results: Seventeen percent of the sites are high noise sources (80-90 dB), two thirds (65%) of the study sites fall into concentrated average noise zones (70-80 dB), and less than one fifth (18%) of the study sites are in relatively quiet zones across different measurement time slots. Conclusions: Long-term strategy for noise control should be incorporated in the development of new townships and other infrastructures in accordance with the noise control norms. Implications for future research include monitoring noise pollution levels in rural areas and health effects of noise pollution in bystanders and drivers.

Corrigendum: Malnutrition leads to increased inflammation and expression of tuberculosis risk signatures in recently exposed household contacts of pulmonary tuberculosis.

[This corrects the article DOI: 10.3389/fimmu.2022.1011166.].

Malnutrition leads to increased inflammation and expression of tuberculosis risk signatures in recently exposed household contacts of pulmonary tuberculosis.

Background: Most individuals exposed to Mycobacterium tuberculosis (Mtb) develop latent tuberculosis infection (LTBI) and remain at risk for progressing to active tuberculosis disease (TB). Malnutrition is an important risk factor driving progression from LTBI to TB. However, the performance of blood-based TB risk signatures in malnourished individuals with LTBI remains unexplored. The aim of this study was to determine if malnourished and control individuals had differences in gene expression, immune pathways and TB risk signatures. Methods: We utilized data from 50 tuberculin skin test positive household contacts of persons with TB - 18 malnourished participants (body mass index [BMI] < 18.5 kg/m2) and 32 controls (individuals with BMI ≥ 18.5 kg/m2). Whole blood RNA-sequencing was conducted to identify differentially expressed genes (DEGs). Ingenuity Pathway Analysis was applied to the DEGs to identify top canonical pathways and gene regulators. Gene enrichment methods were then employed to score the performance of published gene signatures associated with progression from LTBI to TB. Results: Malnourished individuals had increased activation of inflammatory pathways, including pathways involved in neutrophil activation, T-cell activation and proinflammatory IL-1 and IL-6 cytokine signaling. Consistent with known association of inflammatory pathway activation with progression to TB disease, we found significantly increased expression of the RISK4 (area under the curve [AUC] = 0.734) and PREDICT29 (AUC = 0.736) progression signatures in malnourished individuals. Conclusion: Malnourished individuals display a peripheral immune response profile reflective of increased inflammation and a concomitant increased expression of risk signatures predicting progression to TB. With validation in prospective clinical cohorts, TB risk biomarkers have the potential to identify malnourished LTBI for targeted therapy.

Outcomes of teleconsultation services and patient satisfaction among pregnant women delivering at a tertiary care center in South India during coronavirus disease 2019 pandemic.

Coronavirus disease 2019 pandemic has disrupted the antenatal care in low- and middle-income countries such as India. Telemedicine was introduced for the first time in India for continuing antenatal care. Hence, a questionnaire-based descriptive cross-sectional study is done to assess the outcomes of teleconsultation services, factors influencing it, and patient's perceived satisfaction. Three hundred and fifty-five women who delivered the following teleconsultation from July 2020 to October 2020 were included in the study. Thirty-two percent were high-risk pregnancies and 15% of the babies required neonatal intensive care unit admission. Ninety-eight percent could convey their health concerns, 18% had a referral to other departments, and 25% had visited casualty. Sixty-three percent procured medicine through e-prescription. Seventy-six percent were happy with teleconsultation overcrowded clinic, 82% were happy about saving travel expenditure, whereas overall satisfaction was 50%. Fourteen percent did not have access to smartphone and 9% did not receive the call at scheduled time. Telemedicine has a vital role in managing pregnancy concerns during this pandemic.

Performance of WHO updated cardiovascular disease risk prediction charts in a low-resource setting - Findings from a community-based survey in Puducherry, India.

BACKGROUND AND AIM: The World Health Organization has revised the cardiovascular disease (CVD) risk prediction charts in 2019 for each of the 21 Global Burden of Disease regions. These charts (non-lab and lab versions) estimate the total CVD risk in an individual, of which the non-lab is for low-resource settings. We aimed to estimate the burden of ten-year risk of fatal or non-fatal CVD event in the district of Puducherry in India using 'non-lab' and 'lab' versions of WHO CVD risk prediction charts, and to evaluate the agreement between them. METHODS AND RESULTS: We included 710 individuals aged 40-69 years who participated in a district wide non-communicable diseases survey conducted in Puducherry, India, during 2019-20. Both charts use information on age, gender, systolic blood pressure and smoking status. Additionally, lab-chart requires individual's status on diabetes mellitus and total cholesterol while non-lab requires body mass index. Population in different CVD risk levels was presented using proportions (95% confidence intervals). Agreement between lab and non-lab charts was evaluated using Cohen's Kappa (k). The lab and non-lab charts estimated 3% (95% CI: 1.7-4.2) and none of the population respectively, to have high risk (≥20%) for fatal or non-fatal CVD event over the next ten years. Both the charts showed 89.4% (95% CI:87.2%-91.7%) concordance in CVD risk prediction indicating a good level of agreement (k = 0.653). CONCLUSION: WHO updated CVD risk prediction charts are feasible to apply when data is available and there is good agreement between non-lab and lab based charts.

Biliary Atresia Screening in India-Strategies and Challenges in Implementation.

OBJECTIVE: To assess the utilization of SCC implemented in southern India and the effect on SCC utilization of face-to-face verbal education versus video-based content delivery. METHODS: The study included newborns with postnatal age of less than 2 wk at discharge. Mothers were administered SCCs and provided standardized verbal or video health education based on the time-period of enrollment. Home based monitoring of stool color and return of SCC on postnatal day 21 was advised. Telephone surveys were conducted to identify SCC use among families that did not return the SCC by post. RESULTS: Of the 2254 newborns enrolled, 1130 were in the verbal-counseling group and 1124 in the video-counseling group. No newborns with pale stools and biliary atresia were identified. SCC return rates were 3.8% and 2.8%. Comparing the verbal and video-counseling groups, there were no differences in the conservative (81.8% vs. 81.5%) and optimistic estimates (97.1% vs. 97.3%) of SCC utilization rates. Mothers with better educational status had higher optimistic estimates of SCC utilization. CONCLUSIONS: The use of a validated SCC in Tamil with standardized information delivery leads to good utilization rates in southern India, with video content delivery being as effective as face-to-face verbal content delivery. SCC return by post is not a feasible mode of identification of card use. TRIAL REGISTRATION: The study is registered under Clinical Trials Registry - India (CTRI/2018/01/011285).

Nutritional Supplementation Would Be Cost-Effective for Reducing Tuberculosis Incidence and Mortality in India: The Ration Optimization to Impede Tuberculosis (ROTI-TB) Model.

BACKGROUND: Undernutrition is the leading cause of tuberculosis (TB) in India and is associated with increased TB mortality. Undernutrition also decreases quality of life and economic productivity. METHODS: We assessed the cost-effectiveness of providing augmented rations to undernourished Indians through the government's Targeted Public Distribution System (TPDS). We used Markov state transition models to simulate disease progression and mortality among undernourished individuals in 3 groups: general population, household contacts (HHCs) of people living with TB, and persons living with human immunodeficiency virus (HIV). The models calculate costs and outcomes (TB cases, TB deaths, and disability-adjusted life years [DALYs]) associated with a 2600 kcal/day diet for adults with body mass index (BMI) of 16-18.4 kg/m2 until they attain a BMI of 20 kg/m2 compared to a status quo scenario wherein TPDS rations are unchanged. We employed deterministic and probabilistic sensitivity analyses to test result robustness. RESULTS: Over 5 years, augmented rations could avert 81% of TB cases and 88% of TB deaths among currently undernourished Indians. Correspondingly, this intervention could forestall 78% and 48% of TB cases and prevent 88% and 70% of deaths among undernourished HHCs and persons with HIV, respectively. Augmented rations resulted in 10-fold higher resolution of undernutrition and were highly cost-effective with (incremental cost-effectiveness ratio [ICER] of $470/DALY averted). ICER was lower for HHCs ($360/DALY averted) and the HIV population ($250/DALY averted). CONCLUSIONS: A robust nutritional intervention would be highly cost-effective in reducing TB incidence and mortality while reducing chronic undernutrition in India.