Comprehensive Management of Polycystic Ovary Syndrome: Effect of Pharmacotherapy, Lifestyle Modification, and Enhanced Adherence Counseling.

Introduction Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of childbearing age in India, which often presents as menstrual irregularities, infertility, acanthosis nigricans, etc. Metabolic disturbances associated with PCOS predispose patients to cardiovascular diseases, which may be avoided by effective management. The aim of the current study was to evaluate the role of lifestyle modification (LSM) and metformin in PCOS management. Methods This is a retrospective cohort study conducted among 130 PCOS patients who attended the outpatient department of the tertiary care hospital in central India from October 2019 to March 2020. The study describes the effect of a combined package of LSM (physical exercise and dietary changes) and metformin on anthropometric, clinical, and biochemical parameters at three and six months. Results Out of the total 130 women, 12 were lost to follow-up and were omitted from further analysis. At six months of the treatment package (LSM, metformin, and enhanced adherence counseling (EAC)), a significant decrease was seen in body mass index, blood sugar, follicle-stimulating hormone, luteinizing hormone, and insulin. Following the intervention, the menstruation cycle became regular in 91% of the women while volume, theca, and appearance of polycystic ovaries on ultrasound decreased in 86% of women. Insulin resistance (IR) and hyperinsulinemia are the major causes of pathophysiological changes associated with PCOS. Metformin along with LSM primarily acts by decreasing IR, while EAC ensures treatment compliance. Conclusion Metformin along with LSM in the form of calories restricted, high-protein diet, and physical activity reduce IR and hyperandrogenaemia, resulting in improved anthropometric, glycemic indices, hormonal profiles, and features of hyperandrogenaemia. The combined therapy is beneficial to 85-90% of women with PCOS.

Optimizing Village-Level Targeting of Active Case Detection to Support Visceral Leishmaniasis Elimination in India.

Background: India has made major progress in improving control of visceral leishmaniasis (VL) in recent years, in part through shortening the time infectious patients remain untreated. Active case detection decreases the time from VL onset to diagnosis and treatment, but requires substantial human resources. Targeting approaches are therefore essential to feasibility. Methods: We analyzed data from the Kala-azar Management Information System (KAMIS), using village-level VL cases over specific time intervals to predict risk in subsequent years. We also graphed the time between cases in villages and examined how these patterns track with village-level risk of additional cases across the range of cumulative village case-loads. Finally, we assessed the trade-off between ACD effort and yield. Results: In 2013, only 9.3% of all villages reported VL cases; this proportion shrank to 3.9% in 2019. Newly affected villages as a percentage of all affected villages decreased from 54.3% in 2014 to 23.5% in 2019, as more surveillance data accumulated and overall VL incidence declined. The risk of additional cases in a village increased with increasing cumulative incidence, reaching approximately 90% in villages with 12 cases and 100% in villages with 45 cases, but the vast majority of villages had small cumulative case numbers. The time-to-next-case decreased with increasing case-load. Using a 3-year window (2016-2018), a threshold of seven VL cases at the village level selects 329 villages and yields 23% of cases reported in 2019, while a threshold of three cases selects 1,241 villages and yields 46% of cases reported in 2019. Using a 6-year window increases both effort and yield. Conclusion: Decisions on targeting must consider the trade-off between number of villages targeted and yield and will depend upon the operational efficiencies of existing programs and the feasibility of specific ACD approaches. The maintenance of a sensitive, comprehensive VL surveillance system will be crucial to preventing future VL resurgence.

Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India.

As India moves toward the elimination of visceral leishmaniasis (VL) as a public health problem, comprehensive timely case detection has become increasingly important, in order to reduce the period of infectivity and control outbreaks. During the 2000s, localized research studies suggested that a large percentage of VL cases were never reported in government data. However, assessments conducted from 2013 to 2015 indicated that 85% or more of confirmed cases were eventually captured and reported in surveillance data, albeit with significant delays before diagnosis. Based on methods developed during these assessments, the CARE India team evolved new strategies for active case detection (ACD), applicable at large scale while being sufficiently effective in reducing time to diagnosis. Active case searches are triggered by the report of a confirmed VL case, and comprise two major search mechanisms: 1) case identification based on the index case's knowledge of other known VL cases and searches in nearby houses (snowballing); and 2) sustained contact over time with a range of private providers, both formal and informal. Simultaneously, house-to-house searches were conducted in 142 villages of 47 blocks during this period. We analyzed data from 5030 VL patients reported in Bihar from January 2018 through July 2019. Of these 3033 were detected passively and 1997 via ACD (15 (0.8%) via house-to-house and 1982 (99.2%) by light touch ACD methods). We constructed multinomial logistic regression models comparing time intervals to diagnosis (30-59, 60-89 and ≥90 days with <30 days as the referent). ACD and younger age were associated with shorter time to diagnosis, while male sex and HIV infection were associated with longer illness durations. The advantage of ACD over PCD was more marked for longer illness durations: the adjusted odds ratios for having illness durations of 30-59, 60-89 and >=90 days compared to the referent of <30 days for ACD vs PCD were 0.88, 0.56 and 0.42 respectively. These ACD strategies not only reduce time to diagnosis, and thus risk of transmission, but also ensure that there is a double check on the proportion of cases actually getting captured. Such a process can supplement passive case detection efforts that must go on, possibly perpetually, even after elimination as a public health problem is achieved.