Burden of COVID-19 pandemic on tuberculosis hospitalisation patterns at a tertiary care hospital in Rajasthan, India: a retrospective analysis.

OBJECTIVE: This study aimed to investigate the burden of the COVID-19 pandemic on tuberculosis (TB) trends, patient demographics, disease types and hospitalisation duration within the Respiratory Medicine Department over three distinct phases: pre-COVID-19, COVID-19 and post-COVID-19. DESIGN: Retrospective analysis using electronic medical records of patients with TB admitted between June 2018 and June 2023 was done to explore the impact of COVID-19 on patients with TB. The study employed a meticulous segmentation into pre-COVID-19, COVID-19 and post-COVID-19 eras. SETTING: National Institute of Medical Science Hospital in Jaipur, Rajasthan, India. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome includes patients admitted to the Respiratory Medicine Department of the hospital and secondary outcome involves the duration of hospital stay. RESULTS: The study encompassed 1845 subjects across the three eras, revealing a reduction in TB incidence during the post-COVID-19 era compared with the pre-COVID-19 period (p<0.01). Substantial demographic shifts were observed, with 5.2% decline in TB incidence among males in the post-COVID-19 era (n=529) compared with the pre-COVID-19 era (n=606). Despite the decrease, overall TB incidence remained significantly higher in males (n=1460) than females (n=385), with consistently elevated rates in rural (65.8%) as compared with the urban areas (34.2%). Extended hospital stays were noted in the post-COVID-19 era compared with the pre-COVID-19 era (p<0.01). CONCLUSION: The study underscores the influence of the COVID-19 pandemic on the TB landscape and hospitalisation dynamics. Notably, patient burden of TB declined during the COVID-19 era, with a decline in the post-COVID-19 era compared with the pre-COVID-19 era. Prolonged hospitalisation in the post-COVID-19 period indicates the need for adaptive healthcare strategies and the formulation of public health policies in a post-pandemic context. These findings contribute to a comprehensive understanding of the evolving TB scenario, emphasising the necessity for tailored healthcare approaches in the aftermath of a global health crisis.

Prevalence of breast cancer in rural population of Jaipur: a survey-based observational study.

Breast cancer, a global health concern predominantly affecting women, recorded 2.3 million new cases and 685,000 deaths in 2020. Alarmingly, projections suggest that by 2040, there could be over 3 million new cases and 1 million deaths. To assess breast cancer prevalence in 24 rural villages within a 60 km radius of NIMS Hospital, Tala Mod, Jaipur, Rajasthan, North India 303,121. A study involving 2023 participants conducted initial screenings, and positive cases underwent further tests, including ultrasound, mammography, and biopsy. SPSSv28 analysed collected data. Among 2023 subjects, 3 screened positive for breast lumps. Subsequent clinical examination and biopsy identified 1 normal case and 2 with breast cancer, resulting in a prevalence proportion of 0.0009 or 98 per 100,000. This study helps fill gap in breast cancer prevalence data for rural Rajasthan. The results highlight a concerning prevalence of breast cancer in the rural area near NIMS hospital, emphasizing the urgent need for increased awareness, early detection, and better healthcare access. Challenges like limited resources, awareness programs, and delayed diagnosis contribute to this high incidence. To address this, comprehensive approach is necessary, including improved screening programs and healthcare facilities in rural areas. Prioritizing rural healthcare and evidence-based strategies can reduce the burden of breast cancer and improve health outcomes.

Post-COVID-19 cardio-pulmonary manifestations after 1-year of SARS-CoV-2 infection among Indian population: A single centre, case-control study (OneCoV2 study).

BACKGROUND: The evolving challenge of persistent symptoms post-Coronavirus disease-2019 (COVID-19), particularly debilitating cardio-pulmonary manifestations, necessitates further exploration. Our study aimed to assess the cardio-pulmonary complications in patients a year after hospital discharge from severe COVID-19, contrasting these with findings from a non-COVID group. METHODS: The OneCoV2 study, a prospective, case-control study, was conducted at a tertiary care teaching hospital in northern India. We enrolled 43 subjects, with a mean age of 25.57 ± 7.94 years (COVID group) and 27.30 ± 8.17 years (non-COVID group). Comprehensive tests included pulmonary function tests, cardiac function tests, 6-min walk tests, and laboratory investigations. RESULTS: Significant differences were found in the pulmonary function [forced vital capacity (FVC) (p = 0.037), forced expiratory flow (FEF) 25-75 % (p = 0.013)], and cardiac function [left ventricular ejection fraction (LVEF) (p = 0.032), heart rate (HR) (p = 0.047)], along with the six-minute walk test results between the two groups. In the COVID group, Pearson's correlation showed a negative correlation between FVC and C-reactive protein (CRP) [r = -0.488, p = 0.007] and a positive correlation between the six-minute walk test [r = 0.431, p = 0.003] and HR [r = 0.503, p = 0.013]. CONCLUSIONS: Our data suggest that pulmonary abnormalities are prevalent in COVID patients even after 1-year of hospital discharge. Cardiac biomarkers also show an inclination towards the COVID group. While we found significant correlations involving some parameters like FVC, CRP, HR, and results from the six-minute walk test, we did not find any significant correlations with the other tested parameters in our study.

Exploring the risk of glycemic variability in non-diabetic depressive individuals: a cross-sectional GlyDep pilot study.

Background: Data on the correlation between glycemic variability and depression in nondiabetic patients remain limited. Considering the link between increased glycemic variability and cardiovascular risks, this relationship could be significant in depressed patients. Methods: In this single-center pilot study, we utilized Flash Glucose Monitoring (Abbott Libre Pro) to study glycemic variability. The CES-D (Center for Epidemiological Studies- Depression) scale was employed to measure depression levels. Based on CES-D scores, patients were classified into two groups: those with scores ≥ 33 and those with scores < 33. We analyzed various glycemic variability indices, including HBGI, CONGA, ADDR, MAGE, MAG, LI, and J-Index, employing the EasyGV version 9.0 software. SPSS (version 28) facilitated the data analysis. Results: We screened patients with depression visiting the department of psychiatry, FGM was inserted in eligible patients of both the groups which yielded a data of 196 patient-days (98 patient-days for CES-D ≥ 33 and 98 patient-days for CES-D < 33). The glycemic variability indices CONGA (mg/dl), (76.48 ± 11.9 vs. 65.08 ± 7.12) (p = 0.048), MAGE (mg/dl) (262.50 ± 25.65 vs. 227.54 ± 17.72) (p = 0.012), MODD (mg/dl) (18.59 ± 2.77 vs. 13.14 ± 2.39) (p = 0.002), MAG(mg/dl) (92.07 ± 6.24vs. 63.86 ± 9.38) (p = <0.001) were found to be significantly higher in the CES-D ≥ 33 group. Conclusion: Patients with more severe depressive symptoms, as suggested by CES-D ≥ 33, had higher glycemic variability.