Manish Kakkar and colleagues discuss factors contributing to antibiotic resistance in India, and examine policy initiatives to address it

Prevalence of symptoms of GERD in medical students is 25%, majority had mild symptoms. Associated dyspeptic symptoms were present in 38.6%. Factors predisposing to GERD in them are higher BMI, final years of MBBS course, use of NSAID, inadequate sleep, sleeping within one hour of taking dinner, missing breakfast on regular basis and quick eating.

BackgroundInfections caused by multi-drug resistant gram-negative bacterial infections are the principle threats to the critically ill patients of intensive care units. Increasing reports of these infections from the Nepalese intensive care unit underline the clinical importance of these pathogens. However, the impact of these infections on the patient’s clinical outcome has not yet been clearly evaluated. The objective of our study was to determine the incidence and associated clinical outcome of multi-drug resistant gram-negative bacterial infections in intensive care unit from a tertiary care center of Nepal.MethodsA prospective cohort study was conducted among adult patients admitted in intensive care unit of B. P Koirala Institute of Health Sciences from July to December 2017. Patients infected with multi-drug resistant gram-negative bacteria, non-multi-drug resistant gram-negative bacteria and those without infection were included. Identification of gram-negative bacteria and their antibiotic susceptibility pattern was performed with standard microbiological methods. Demographic, clinical profiles and outcomes (in-hospital-mortality, intensive care unit and hospital length of stay) were documented.ResultsThe incidence rate of multi-drug resistant gram-negative bacteria infections was 47 per 100 admitted patients (64/137) with 128 episodes. Acinetobacter species (41%, 52/128) was the commonest followed by Klebsiella pneumoniae (28%, 36/128) and Pseudomonas spp (21%, 27/128). Patients with multi-drug resistant gram-negative bacteria in comparison to non-multi-drug resistant gram-negative bacteria had high healthcare-associated infections (95%, 61/64 versus 20%, 2/10; p = < 0.001). In-hospital-mortality was 38% (24/64), 20% (2/10) and 10% (4/41) in multi-drug resistant, non-multi-drug resistant and uninfected group respectively (p = 0.007). After adjustment for independent risk factors, compared to uninfected patients, the odds ratio (CI) for in-hospital-mortality in multi-drug resistant and non-multi-drug resistant group was (4.7[1.4–15.5], p = 0.01) and 2.60 [0.38–17.8], p = 0.32) respectively. Multi-drug resistant patients also had longer intensive care unit and hospital stay, however, it was statistically insignificant.ConclusionThe incidence of multi-drug resistant gram-negative bacterial infections was remarkably high in our intensive care unit and showed a significant association with healthcare-associated infections and in-hospital-mortality.

Introduction This study was conducted with an objective to analyze prevalence and risk factors associated with co-infection of hepatitis B virus (HBV) and hepatitis C virus (HCV) in HIV-positive patients with reference to their CD4+ T cell status. Materials and methods HIV-positive patients visiting the HIV clinic for CD4+ T cells testing at B.P. Koirala Institute of Health Sciences were tested for Hepatitis B and Hepatitis C. Data regarding age, gender, mode of HIV transmission, duration of HIV diagnosis, antiretroviral therapy status, antiretroviral therapy duration, hepatitis B or C status, and CD4+ T cells count were collected via face-to-face interview, and hospital records. The data were entered in Microsoft Excel 2019 v16.0 (Microsoft, WA, USA) and statistical analysis was performed by using statistical package for social sciences, IBM SPSS® v21 (IBM, Armonk, New York). Results Out of 474 HIV-positive patients, HIV-HBV, HIV-HCV, and HIV-HBV-HCV co-infections were seen in 2.95% (14/474), 18.14% (86/474), and 2.53% (12/474) respectively. The primary route of infection was intra-venous drug use (IVDU) in those co-infected with HBV only (8, 57.14%), HCV only (46, 53.49%), and both HBV and HCV (8, 66.67%). HIV patients infected via IVDU were 2.40 times more likely to have HIV-HCV co-infection as compared to those infected via sexual route (AOR 2.40, 95% CI: 1.49,3.86). Similarly, HIV patients with CD4+ T cells count less than 350 cells/mm3 were more likely to have HIV-HBV-HCV co-infection as compared to those with CD4 count equal to and more than 350 cells/mm3 (AOR 13.84, 95% CI: 2.90,66.10). Conclusion HIV-positive patients are at high risk of hepatitis B and/or hepatitis C co-infection. Intravenous drug use, and lower CD4+T cells count are the most important risk predictors of co-infection. All HIV-positive patients should be carefully screened with hepatitis B and hepatitis C tests during their follow-up.

Background The global concern over antimicrobial resistance (AMR) is gathering pace. Low- and middle-income countries (LMICs) are at the epicentre of this growing public health threat and governmental and healthcare organizations are at different stages of implementing action plans to tackle AMR. The South Indian state of Kerala was one of the first in India to implement strategies and prioritize activities to address this public health threat. Strategies Through a committed and collaborative effort from all healthcare related disciplines and its professional societies from both public and private sector, the Kerala Public Private Partnership (PPP) has been able to deliver a state-wide strategy to tackle AMR A multilevel strategic leadership model and a multilevel implementation approach that included developing state-wide antibiotic clinical guidelines, a revision of post-graduate and undergraduate medical curriculum, and a training program covering all general practitioners within the state the PPP proved to be a successful model for ensuring state-wide implementation of an AMR action plan. Collaborative work of multi-professional groups ensured co-design and development of disease based clinical treatment guidelines and state-wide infection prevention policy. Knowledge exchange though international and national platforms in the form of workshops for sharing of best practices is critical to success. Capacity building at both public and private institutions included addressing practical and local solutions to the barriers e.g. good antibiotic prescription practices from primary to tertiary care facility and infection prevention at all levels. Conclusion Through 7 years of stakeholder engagement, lobbying with government, and driving change through co-development and implementation, the PPP successfully delivered an antimicrobial stewardship plan across the state. The roadmap for the implementation of the Kerala PPP strategic AMR plan can provide learning for other states and countries aiming to implement action plans for AMR.