India needs a resilient cancer program.

BACKGROUND: We analyzed the trends for two important cancers affecting females, breast cancer and cervical cancer, using the Indian cancer registry data and correlated the findings with selected relevant sociodemographic and behavioral indicators. METHODS: We examined National Family Health Survey data for the respective states in which registries are located, on relevant indicators like multiparity, early childbearing, cervical examination, multiple sexual partners/high-risk sexual behavior, and HIV prevalence (for cervical cancer), multiparity, early childbearing, duration of breastfeeding, overweight, alcohol use, and clinical breast examination (for breast cancer). We used Global Adult Tobacco Survey smoking data. RESULTS: The top four positions in cancer cervix were all in registries from northeast India with a higher proportion of multiparous women (≥3 births; around 40%), whereas three major metros in the south and the national capital of Delhi, all with a relatively low proportion of multiparous women (11-25%) topped the chart for breast cancer. Overweight/obesity was higher in states with a higher incidence of breast cancer (23.3-31%) compared to states with a lower incidence (12.2-16%). No clear patterns emerged with regard to alcohol consumption, duration of breastfeeding or clinical breast examination. CONCLUSION: The shift in the childbearing age group explains the increasing breast cancer rates in urban areas, whereas the persisting higher rate of multiparity explains higher cervical cancer rates especially in underserved states in the northeast. India needs to invest in transforming its cancer control program to be a more resilient one with a focus on screening and prevention.

COVID-19 and Comorbidities: Audit of 2,000 COVID-19 Deaths in India.

BACKGROUND: On September 5, 2020, India reported the second highest COVID-19 cases globally. Given India's unique disease burden including both infectious and chronic diseases, there is a need to study the survival patterns of COVID-19. We aimed to describe the factors associated with COVID-19 deaths in the State of Tamil Nadu that has the highest COVID-19 case burden among the Indian states, and to compare deaths among COVID patients with and without comorbidities. METHODS: We analyzed the first 1000 COVID deaths (1 March to 26 June 2020) and 1000 recent deaths at the time of analysis (1-10 August 2020). We examined data on facility (public vs private), age, gender, duration of illness prior to and/or during hospitalizations, symptoms, comorbidities and cause of death. We used R statistical program to do the analysis. We compared deaths among patients with and without comorbidities using Wilcoxon rank sum test. p < 0.05 was considered significant. RESULTS: First, we found a shorter time interval from onset of symptoms to death in India than that was reported in the USA and China. Second, young adults without comorbidities had shorter survival from the time of onset of symptoms irrespective of their timing of hospitalization. Third, hypothyroidism is a COVID-19 associated co-morbidity. Longitudinal studies are needed to further assess the thyroid-COVID-19 link. CONCLUSION: As COVID-19 infection rates are accelerating rapidly in India, it is crucial to sensitize young adults while protecting the elderly and other vulnerable populations.