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.

The Influence of Obesity on Bone Health in Post-COVID-19 Recovery- Single-Center Experience.

Introduction: The ongoing repercussions of the COVID-19 pandemic include potentially deleterious impacts on bone health. Aim: This research aimed to ascertain the effects of COVID-19 on the bone health of obese and non-obese Indian individuals. Methods: We executed a case-control study enrolling individuals who recovered from COVID-19. Participants were stratified into obese and non-obese groups based on their BMI. Comprehensive assessments encompassed anthropometric evaluations, laboratory tests, and bone mineral density (BMD) measurements using dual-energy X-ray absorptiometry (DEXA). Results: From April to July 2022, we enrolled obese (n = 27, mean BMI = 30.54 ± 4.51 kg/m 2) and non-obese (n = 23, mean BMI = 21.97 ± 2.20 kg/m 2) individuals. The cohort's average age was 36.08 ± 15.81 years, with a male-to-female ratio of 1.6:1. There was a difference in BMD, especially at the total hip, between the two groups. BMD at the spine (L1-L4), the neck of the femur, and ultra-distal radius were consistent across both groups. Weight exhibited a significant positive correlation with BMD at L1-L4 (r = 0.40, p = 0.003) and the left femur total (r = 0.27, p = 0.001). Haemoglobin levels were lower in the obese group compared to their non-obese counterparts (12.3 ± 2.0 vs 13.6 ± 1.9, p = 0.01). Multivariate analysis underscored weight as a crucial predictor for BMD at the spine (L1-L4, p = 0.003) and total hip (p = 0.001). Conclusion: Even with advanced age, obese post-COVID-19 individuals demonstrate a higher bone mineral density (BMD) at the hip than non-obese subjects.

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.

Frailty Predicting Health-Related Quality of Life Trajectories in Individuals with Sarcopenia in Liver Cirrhosis: Finding from BCAAS Study.

The association between frailty and health-related quality of life (HRQoL) among Asian patients with liver cirrhosis and sarcopenia remains largely unexplored. To address this knowledge gap, we conducted a cross-sectional study involving individuals aged 32 to 69 years, all diagnosed with liver cirrhosis. The chronic liver disease questionnaire (CLDQ) was used to assess HR-QoL, the CLDQ score was used as an outcome to measure the factors related to HR-QoL, and the liver frailty index (LFI) was used to assess the frailty status. The association between the frailty status and the CLDQ summary scales was investigated using the correlation coefficient and multiple regression analyses. A total of 138 patients in the frail (n = 62) and non-frail (n = 76) groups with (alcohol: 97; viral: 24; autoimmune: 17; and cryptogenic: 12) were included in the study. Age, CTP score, and model for end-stage liver disease (MELD) sodium were significantly higher in the frail group. In the CLDQ domains, there was a significant difference between the frail and non-frail groups (p value = 0.001). In health-related quality-of-life summary measures, there was a strong negative correlation between frailty and the scores for activities, emotional function, and fatigue (p value = 0.001). When comparing frail to non-frail patients, these characteristics demonstrated significantly increased odds as indicated by their adjusted odds ratios: OR 3.339 (p value = 0.013), OR 3.998 (p value = 0.006), and OR 4.626 (p value = 0.002), respectively.

Albuminuria, glycemic variability and effect of flash glucose monitoring based decision making on short term glycemic variability in Indian type 2 diabetes patients: Indi-GlyVar study.

Aim and scope: Glycemic variability (GV) denotes the fluctuations in the glucose values around the baseline. High glycemic variability is associated with a higher risk of diabetes-associated complications. In this study, we sought to determine the impact of therapeutic interventions based on flash glucose monitoring on rapid, short-term glycemic variability. We also studied the prevalent albuminuria in diabetic kidney disease and its effect on glycemic variability. Methods: In a 14-day, single-center, prospective intervention study, we measured the GV indices at baseline (days 1-4) and ten days after ambulatory glucose profile-based intervention using flash glucose monitoring (Abbott Libre Pro, Abbott Diabetes Care, Alameda, California, USA) in patients with type 2 diabetes. An EasyGV calculator was used to estimate the flash glucose monitoring (FGM)-derived measures of GV. The primary outcome was to assess the impact of FGMS-based therapeutic interventions on glycemic variability markers: SD, mean amplitude of glycemic excursion [MAGE], continuous overall net glycemic action [CONGA], absolute means of daily differences [MODD], M value, and coefficient of variance [%CV], AUC below 70 mg/dl, low blood glucose index, AUC above 180 mg/dl [AUC >180], high blood glucose index [HBGI], and J index. Time-related matrices (time in range (%), time above range (%), and time below range (%) were also calculated from the ambulatory glucose profile. Renal function parameters (serum creatinine, estimated glomerular filtration rate, urine albumin excretion) were calculated. The GV with regard to albumin excretion rate was compared. Results: Fifty-eight T2DM patients (63.8%, males) with a mean age of 51.5 ± 11.9 years were studied. When compared with baseline (days 1-4), on day 14, there was a significant improvement in mean sensor glucose (mg/dl) median (IQR) [155 (116-247) vs 131 (103-163) (p ≤0.001)], JINDEX [15,878 (7,706-28,298) vs 8,812 (5,545-14,130) (p ≤0.001)], HBGI [361 (304-492) vs 334 (280-379) (p ≤0.001)], MAGE (mg/dl) [112 (8-146) vs 82 (59-109) (p ≤0.001)], M-value [2,477 (1,883-3,848) vs 2,156 (1,667-2,656) (p ≤ 0.001)], MAG (mg/dl) [111 (88-132) vs 88 (69-102) (p ≤ 0.001)]. Patients with albuminuria at baseline had high mean sensor glucose (mg/dl) median (IQR) [190 (131-200) vs 131 (112-156) (p = 0.001)], CONGA (mg/dl) median (IQR) [155 (101-165) vs 108 (83-120) (p = 0.001)], JINDEX, HBGI, MAGE (mg/dl), and M-value are, median (IQR) [20,715 (10,970-26,217 vs 91,118 (6,504-15,445)) (p ≤ 0.01)], [415 (338-423) vs 328 (292-354) (p = 0.001)], [125 (102-196) vs 103 (74-143) (p ≤ 0.01)], [3,014 (2,233-3,080) vs 2,132 (1,788-2,402) (p ≤0.01)], respectively. Conclusion: In type 2 diabetes, flash glucose monitoring-guided therapeutic interventions can reduce glycemic variability in a brief span (10 days) of time. Also, albuminuria in type 2 diabetes is associated with high glycemic variability. Reduced diabetes complications may ultimately result from this reduced glycemic variability.

Impact of Tocilizumab on Inflammatory Markers and Oxygen Status in Severe COVID-19 Patients: A Single Centre Retrospective Study.

OBJECTIVE: This retrospective study aims to investigate the impact of tocilizumab on inflammatory markers in patients with severe COVID-19. The effect on oxygenation was also assessed. METHODS: This study is a single-centre, retrospective cohort study conducted at NIMS hospital. Data of the eligible patients with severe COVID-19 pneumonia who received injection tocilizumab (max 800 mg) were charted and analysed. Oxygenation and inflammatory markers were compared before and after (day 3 and day 7) tocilizumab injection. Effect of dysglycemia on the efficacy of tocilizumab was assessed. Outcomes were analysed in the form of discharge without oxygen, discharge with oxygen, and death. Data were analysed by SPSS v22. RESULTS: The mean age of the subjects was 57.8 ± 12.2 years, and 78.57% were male. Forty-four percent of the patient had type 2 diabetes. Tocilizumab treatment was associated with reduction in the oxygen requirement [median:10 L/min (IQR6- 14)] v/s 4 L/min (IQR 3-7, p-0.005]. Peripheral oxygen saturation also improved after tocilizumab [92 % (IQR 90-96)] v/s [95 % (IQR 94-96), p-0.01)], respectively. Serum CRP level decreased significantly when evaluated after three days (44±5 v/s 20 ±3 mg/dl, p=< 0.001). Out of the 42, 12 (29%) patients died due to severe COVID-19 or its complications. When compared with the patients who survived, patients who died had a higher level of D-dimer (1.2 ± 0.51 v/s 3.1 ±1.2 ng/dl, p-value- 0.04), and LDH: (845 ±55 v/s 1364 ±198 U/L, p - 0.01). At day seven of the tocilizumab injection, diabetic patients (n-13) had higher IL-6 serum level than nondiabetic patients (n-16) [(median- 311(IQR-1245.5) v/s (209 (IQR-546.2), p-value- 0.048]. CONCLUSION: In this retrospective pre-post analysis, tocilizumab injection was associated with reduced inflammation and improved oxygenation in severe COVID-19. Despite high IL-6 levels, diabetes had no impact on the efficacy of the tocilizumab.

Progressive Disseminated Histoplasmosis Mimicking as Anal Carcinoma - Look at the Mountain, Not at Stone: A Case Report.

Disseminated histoplasmosis is a systemic disease caused by the dimorphic fungus Histoplasma capsulatum. Here, we are presenting a case of shock who was diagnosed to have primary adrenal insufficiency. This 68-year-old man had bilateral adrenal mass and later presented with chronic fever and ulcerated anal mass in the oncology clinic. The oncologist made a provisional diagnosis of anal carcinoma with adrenal metastasis. He was suspected of having an adrenal crisis and was admitted to the intensive care unit. He also had granulomatous hepatitis and acute kidney injury. The working diagnosis was changed to systemic inflammatory/infective pathology. The biopsy of the anal tissue done to look for the aetiology showed Histoplasma. He was started on oral itraconazole therapy. He improved symptomatically (resolution of fever, improvement in pain) when assessed after seven days. His anal ulcer healed after 21 days of itraconazole therapy.

Prevalence of Symptoms in Patients Discharged from COVID Care Facility of NIMS Hospital: Is RT PCR Negativity Truly Reflecting Recovery? A Single-Centre Observational Study.

PURPOSE: To assess the prevalence of post-COVID symptoms in patients with recovered COVID-19 (nasopharyngeal RT PCR negative) who were discharged from an acute COVID care facility at a tertiary care teaching hospital in North India. METHODS: This study was an observational study with retrospective data collection, conducted in the COVID follow-up clinic, a combined clinic of medicine and endocrinology. Patients discharged from the acute COVID care facility were recruited after 14 days of discharge if they fulfilled inclusion and exclusion criteria. The retrospective data was collected from the hospital records/EMR and analysed by the SPSSv23. RESULTS: Fifty patients, who fulfilled the inclusion and exclusion criteria, were included in the study. The Mean age of patients was 53.4±13.8 years (range 28-77). Seventy six percent were male, and 38% had type 2 diabetes. Fever (94%), cough (78%) and breathlessness (68%), were the most common symptoms at presentation to acute care facility. Oxygen saturation at presentation had a negative correlation with D-Dimer, age, and C reactive protein. When patients were evaluated clinically, after 14 days (range 15 to 50 days) of the discharge, 82% of patients had at least one persistent symptom. Fatigue (74%) was the most common symptoms in follow-up followed by breathlessness (44%), and muscle weakness (36%). Two patients had persistent fever, even after negative RT PCR status. CONCLUSION: Patients discharged from the acute COVID care facility had a high prevalence of post-COVID symptoms even after 14 days.