Knowledge and attitude on childhood cancer survivorship among healthcare trainees: a multicentre study from India.

BACKGROUND: The proportion of childhood cancer survivors (CCS) in low/middle-income countries (LMICs) is rising. CCS often develop several physical and psycho-social long-term adverse effects, with unique healthcare needs. Primary healthcare providers (primary care physicians (PCPs)), especially in LMICs, are often not equipped to handle survivorship care. This study aimed to assess knowledge, and attitude among trainee healthcare providers concerning major issues of paediatric survivorship care. METHODS: A multi-centre, cross-sectional, questionnaire-based study was conducted among nursing and medical undergraduate students, and postgraduate medical residents across three tertiary-care teaching hospitals in India-All India Institute of Medical Sciences, New Delhi; Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry; and Maulana Azad Medical College, New Delhi. A questionnaire with total of 24 questions (14 knowledge-based and 10 attitude-based) was finalised after validation by expert review and piloting. The major domains covered in the questionnaire included knowledge and attitude regarding long-term adverse effects and psychosocial, employment-related issues faced by the survivors. It was administered to the study participants electronically. The knowledge-based questions had true/false responses (scored as 0 or 1 if incorrect or correct, respectively). Attitude-based questions were scored as 5-point Likert scale. RESULTS: Total 898 responses were collected (median age: 21 years, 64% (576/898) female). Among the respondents, 44% were undergraduate medical students, 42% were nursing students and 14% were postgraduate medical residents. The mean (SD) of knowledge score was 8.72 (2.04) (out of 14). On multivariable analysis, only discipline of training predicted knowledge scores regarding survivorship care. Postgraduate medical residents (9.08) as well as undergraduate medical students (8.85), had significantly higher mean knowledge scores than nursing students (8.47) (p=0.004).Two questions were answered incorrectly by the majority; children and siblings of CCS need additional genetic screening (79% incorrectly answered true), and CCS face intimacy issues in relation to normal sexual functioning (59% incorrectly answered false).Nearly half (48%) of respondents believed that their knowledge of cancer survivorship issues was inadequate. Majority of respondents (84%) suggested that oncologists should handle long-term survivorship care rather than PCPs. CONCLUSION: Trainee healthcare providers in India reported inadequate knowledge regarding survivorship care. Improving awareness by incorporating survivorship in teaching curriculum is imperative to equip future PCPs to provide survivorship care across the country.

Correction: Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection.

[This corrects the article DOI: 10.1371/journal.pone.0270789.].

Clinical Practice Patterns in IgA Nephropathy: A Global Questionnaire-Based Survey.

Introduction: IgA nephropathy (IgAN) displays ethnic differences in disease phenotype. We aimed to examine how this common disease is managed worldwide. Methods: An online 2-step questionnaire-based survey was conducted among nephrologists globally focusing on various management strategies used in IgAN. Results: A total of 422 nephrologists responded to the initial survey and 339 to the follow-up survey. Of the nephrologists, 13.7% do not get MEST-C scores in biopsy reports; 97.2% of nephrologists use renin-angiotensin-aldosterone system (RAAS) blockade with angiotensin-converting-enzyme inhibitors (ACEi) / angiotensin receptor blockers (ARB) as initial treatment. Other supportive treatments commonly employed are fish oil (43.6%) and sodium-glucose co-transporter-2 (SGLT2) inhibitors (48.6%) with regional differences. Immunosuppression is generally (92.4%) initiated when proteinuria >1 g/d persists for ≥3 months.Main considerations for initiating immunosuppression are level of proteinuria (87.9%), estimated glomerular filtration rate (eGFR) decline (78.7%), lack of response to RAAS blockade (57.6%) and MEST-C score (64.9%). Corticosteroids (89.1%) are universally used as first-line immunosuppression; mycophenolate mofetil is commonly used in resistant patients (49.3%). Only 30.4% nephrologist enroll patients with persistent proteinuria >1 g/d in clinical trials. Nephrologists in Europe (63.6%), North America (56.5%), and Australia (63.6%) are more likely to do so compared to South America (31.3%) and Asia (17.2%). Only 8.1% nephrologists in lower-middle income countries (LMICs) enroll patients in clinical trials, though 40% of them are aware of such trials in their nations. Conclusion: Although most nephrologists agree on common parameters to assess clinical severity of IgAN, use of RAAS blockade, and blood pressure control, there is heterogeneity in use of other supportive therapies and initiation of immunosuppression. There is reluctance to enroll patients in clinical trials with novel treatments, principally in LMICs.

A Systematic Review of Risk Factors for Hepatitis C Virus Infection Among Low-Risk Population in India.

Background: Identification of risk factors for hepatitis C virus (HCV) transmission will help in targeted screening of people who are at risk for HCV. Method: Indian studies, published between January 1989 and June 2020, were systematically reviewed to identify the relevant studies. We searched electronic databases including PubMed/Medline, Embase, Scopus, and Google scholar to identify the original data published in English language. The full-text studies, published in any form, which reported data on risk factors for HCV transmission among low-risk population were selected. The studies which exclusively included high-risk groups were excluded. Results: Data were extracted from 31,176 participants included in 25 studies (median [range] 40 [7-20,113). The participants were HCV infected patients who visited the hospital (n = 10), community population (n = 6), pregnant women (n = 5), blood donors (n = 2), people with diabetes mellitus (n = 1), army recruits (n = 1), or slum dwellers (n = 1). These studies provided data on blood transfusion, use of unsafe injections, minor or major surgery, unsafe dental procedures, tattooing, body piercing, obstetrical procedures, unsafe shaving, intravenous drug use, and unsafe sexual practices as risk factors for HCV transmission. Conclusion: Unsafe injections, body piercing, unsafe dental procedure, unsafe shaving, and tattooing were identified as major risk factors for reported by HCV population participants.More data are needed to identify the risk factors for HCV in Indian population. Risk-factor-targeted screening may increase the yield and reduce the cost of HCV screening in India.

Contact tracing of COVID-19 in Karnataka, India: Superspreading and determinants of infectiousness and symptomatic infection.

BACKGROUND: India has experienced the second largest outbreak of COVID-19 globally, yet there is a paucity of studies analysing contact tracing data in the region which can optimise public health interventions (PHI's). METHODS: We analysed contact tracing data from Karnataka, India between 9 March and 21 July 2020. We estimated metrics of transmission including the reproduction number (R), overdispersion (k), secondary attack rate (SAR), and serial interval. R and k were jointly estimated using a Bayesian Markov Chain Monte Carlo approach. We studied determinants of risk of further transmission and risk of being symptomatic using Poisson regression models. FINDINGS: Up to 21 July 2020, we found 111 index cases that crossed the super-spreading threshold of ≥8 secondary cases. Among 956 confirmed traced cases, 8.7% of index cases had 14.4% of contacts but caused 80% of all secondary cases. Among 16715 contacts, overall SAR was 3.6% [95% CI, 3.4-3.9] and symptomatic cases were more infectious than asymptomatic cases (SAR 7.7% vs 2.0%; aRR 3.63 [3.04-4.34]). As compared to infectors aged 19-44 years, children were less infectious (aRR 0.21 [0.07-0.66] for 0-5 years and 0.47 [0.32-0.68] for 6-18 years). Infectors who were confirmed ≥4 days after symptom onset were associated with higher infectiousness (aRR 3.01 [2.11-4.31]). As compared to asymptomatic cases, symptomatic cases were 8.16 [3.29-20.24] times more likely to cause symptomatic infection in their secondary cases. Serial interval had a mean of 5.4 [4.4-6.4] days, and case fatality rate was 2.5% [2.4-2.7] which increased with age. CONCLUSION: We found significant heterogeneity in the individual-level transmissibility of SARS-CoV-2 which could not be explained by the degree of heterogeneity in the underlying number of contacts. To strengthen contact tracing in over-dispersed outbreaks, testing and tracing delays should be minimised and retrospective contact tracing should be implemented. Targeted measures to reduce potential superspreading events should be implemented. Interventions aimed at children might have a relatively small impact on reducing transmission owing to their low symptomaticity and infectivity. We propose that symptomatic cases could cause a snowballing effect on clinical severity and infectiousness across transmission generations; further studies are needed to confirm this finding.

Prevalence of Non-alcoholic Fatty Liver Disease in India: A Systematic Review and Meta-analysis.

Background: Non-alcoholic fatty liver disease (NAFLD) contributes to a large proportion of liver disease burden in the world. Several groups have studied the prevalence of NAFLD in the Indian population. Aim: A systematic review of the published literature and meta-analysis was carried out to estimate the prevalence of NAFLD in the Indian population. Methods: English language literature published until April 2021 was searched from electronic databases. Original data published in any form which had reported NAFLD prevalence in the Indian population were included. The subgroup analysis of prevalence was done based on the age (adults or children) and risk category, i.e., average-risk group (community population, participants of control arm, unselected participants, hypothyroidic individuals, athletes, aviation crew, and army personnel) and high-risk group (obesity or overweight, diabetes mellitus, coronary artery disease, etc.). The prevalence estimates were pooled using the random-effects model. Heterogeneity was assessed with I2. Results: Sixty-two datasets (children 8 and adults 54) from 50 studies were included. The pooled prevalence of NAFLD was estimated from 2903 children and 23,581 adult participants. Among adults, the estimated pooled prevalence was 38.6% (95% CI 32-45.5). The NAFLD prevalence in average-risk and high-risk subgroups was estimated to be 28.1% (95% CI 20.8-36) and 52.8% (95% CI 46.5-59.1), respectively. The estimated NAFLD prevalence was higher in hospital-based data (40.8% [95% CI 32.6-49.3%]) than community-based data (28.2% [95% CI 16.9-41%]). Among children, the estimated pooled prevalence was 35.4% (95% CI 18.2-54.7). The prevalence among non-obese and obese children was 12.4 (95% CI 4.4-23.5) and 63.4 (95% CI 59.4-67.3), respectively. Conclusion: Available data suggest that approximately one in three adults or children have NAFLD in India.

Assessment of COVID-19 data reporting in 100+ websites and apps in India.

India is among the top three countries in the world both in COVID-19 case and death counts. With the pandemic far from over, timely, transparent, and accessible reporting of COVID-19 data continues to be critical for India's pandemic efforts. We systematically analyze the quality of reporting of COVID-19 data in over one hundred government platforms (web and mobile) from India. Our analyses reveal a lack of granular data in the reporting of COVID-19 surveillance, vaccination, and vacant bed availability. As of 5 June 2021, age and gender distribution are available for less than 22% of cases and deaths, and comorbidity distribution is available for less than 30% of deaths. Amid rising concerns of undercounting cases and deaths in India, our results highlight a patchy reporting of granular data even among the reported cases and deaths. Furthermore, total vaccination stratified by healthcare workers, frontline workers, and age brackets is reported by only 14 out of India's 36 subnationals (states and union territories). There is no reporting of adverse events following immunization by vaccine and event type. By showing what, where, and how much data is missing, we highlight the need for a more responsible and transparent reporting of granular COVID-19 data in India.