Assessment of treatment outcomes of daily fixed-dose combination therapy among drug-sensitive pulmonary tuberculosis patients: A prospective study from Bengaluru, India.

Context: The annual incidence cases report depicts India as having the highest tuberculosis (TB) burden globally. Following a programmatic change, the daily fixed-dose combination (FDC) anti-TB treatment regimens were introduced by the Indian government's National Tuberculosis Elimination Program (NTEP). Aims: The aim of the study was to assess the treatment outcomes among drug-sensitive pulmonary TB patients receiving daily FDC drugs and the associated factors influencing the treatment outcomes. Settings and Design: A prospective study was conducted among 300 drug-sensitive pulmonary TB cases in the Bruhat Bengaluru Mahanagara Palike (BBMP) area. Materials and Methods: The TB units and designated microscopic centers (DMCs) were selected by multistage random sampling. Data were collected through a pre-tested and semi-structured questionnaire. Patients were followed up until treatment completion. Statistical Analysis Used: Data were compiled and analyzed using IBM Statistical Package for Social Sciences (SPSS) statistics version 20.0. Descriptive statistics and the Chi-square test were used for interpretation. A P-value less than 0.05 was considered statistically significant. Results: Around 86.33% of patients were cured, 4% had completed treatment, and 1% had treatment failure. Older age, human immunodeficiency virus (HIV) reactive status, alcohol intake, tobacco use, and migrants were associated with poor outcomes. Conclusions: The daily FDC regimen had better outcomes than intermittent regimens. Smokers, alcoholics, migrants, and patients with co-morbidity need to be given priority in management as they are prone to poorer outcomes.

Normative Cognitive Scores in Western India, Stratified by Age, Rurality, Cognitive Domains, and Psychiatric Comorbidity.

BACKGROUND AND OBJECTIVES: Indian ethnic and educational diversities necessitate obtaining normative cognitive data in different populations. We aimed to evaluate cognitive scores using a Marathi translation of the Kolkata cognitive battery (KCB) and to study the association of KCB components with depression and sociodemographic variables. MATERIALS AND METHODS: We studied 2,651 individuals aged ≥40 years without preexisting neuropsychiatric conditions from urban (Mumbai) and rural districts of Maharashtra. For each component of KCB, the lowest 10th percentile score was used to define cognitive impairment. RESULTS: We studied 1,435 (54%) rural and 1,216 (46%) urban residents equally divided by gender (1,316 women and 1,335 men), average age 54 years. KCB scores were significantly lower with female sex, older age, illiteracy, and depression. The largest effect sizes attributable to these factors were in the domains of calculation (gender), visuoconstructional ability (VCA) (rurality), and verbal fluency (VF) (depression). Scores remained significantly lower in rural residents after controlling for age, sex, and education, particularly for VCA, immediate recall, and calculation. CONCLUSION: This Marathi KCB, having been validated on large urban as well as rural samples, may be used to study cognition in Marathi-speaking populations with appropriate cutoffs tailored to the degree of urbanization of the population.

Evaluation of 'Normal' Cognitive Functions and Correlation With MRI Volumetry: Towards a Definition of Vascular Cognitive Impairment.

Introduction It is important to establish criteria to define vascular cognitive impairment (VCI) in India as VCI is an image-based diagnosis and magnetic resonance imaging (MRI) changes resulting from age with prevalent vascular risk factors may confound MRI interpretation. The objective of this study was to establish normative community data for MRI volumetry including white matter hyperintensity volume (WMHV), correlated with age-stratified cognitive scores and vascular risk factors (VRFs), in adults aged 40 years and above.  Methods We screened 2651 individuals without known neurological morbidity, living in Mumbai and nearby rural areas, using validated Marathi translations of Kolkata Cognitive Battery (KCB) and geriatric depression score (GDS). We stratified 1961 persons with GDS ≤9 by age and cognitive score, and randomly selected 10% from each subgroup for MRI brain volumetry. Crude volumes were standardized to reflect percentage of intracranial volume.  Results MRI volumetry studies were done in 199 individuals (F/M = 90/109; 73 with body mass index (BMI) ≥25; 44 hypertensives; 29 diabetics; mean cognitive score 76.3). Both grey and white matter volumes decreased with increasing age. WMHV increased with age and hypertension. Grey matter volume (GMV) decreased with increasing WMHV. Positive predictors of cognition included standardized hippocampal volume (HCV), urban living, education, and BMI, while WMHV and age were negative predictors. Urban dwellers had higher cognitive scores than rural, and, paradoxically, smaller HCV.  Conclusion In this study of MRI volumetry correlated with age, cognitive scores and VRFs, increasing age and WMHV predicted lower cognitive scores, whereas urban living and hippocampal volume predicted higher scores. Age and WMHV also correlated with decreasing GMV. Further study is warranted into sociodemographic and biological factors that mutually influence cognition and brain volumes, including nutritional and endocrine factors, especially at lower cognitive score bands. In this study, at the lower KCB score bins, the lack of laboratory data pertaining to nutritional and endocrine deficiencies is a drawback that reflects the logistical limitations of screening large populations at the community level. Our volumetric data which is age and cognition stratified, and takes into account the vascular risk factors associated, nevertheless constitutes important baseline data for the Indian population. Our findings could possibly contribute to the formulation of baseline criteria for defining VCI in India and could help in early diagnosis and control of cognitive decline and its key risk factors.

COVID-19 Mortality in the Delta Wave in India: A Hospital-Based Study From Ramanagara District, Karnataka.

INTRODUCTION: Coronavirus 19 (COVID-19) disease spread rapidly over the world since its inception in December 2019 in Wuhan, China. India too was crippled by the burden of high caseloads and deaths. The first death caused by COVID-19 in Karnataka was reported on March 13, 2020. There is a plethora of information on the descriptive statistics, epidemiology, and management of COVID-19 cases. However, there has not been an in-depth and extensive exploration of COVID-19 mortality data in terms of published research from India. The study area was a 300 bedded tertiary care center in Ramnagara district, Karnataka. During the second wave, 150 beds were dedicated to COVID-19 cases referred from government centers. This study was carried out to assess the in-hospital mortality at this institute during the second wave. The expected outcome of this study was to shed light on co-morbidities associated with mortality, the age and sex distribution in mortality, and any other significant factors influencing mortality due to COVID-19. METHODOLOGY: A hospital-based, retrospective, and observational-analytical study was carried out during April-August 2021, the second wave of COVID-19. The data included all deaths recorded in-hospital during the dedicated COVID-19 referral center status. Data were collected from case sheets and mortality audit forms that included basic demographics, symptoms, co-morbidities, admission pathway, transfer to ICU, oxygen therapy, ventilator requirement, duration of hospitalization, laboratory profile, and management modalities prior to death. Data were compiled into Microsoft Excel and were analyzed with JASP software (open source). Data were interpreted in terms of frequencies, averages with standard deviation, and bivariate and multivariate analysis. RESULTS:  We analyzed mortality audits of 91 adult patients and one neonate. The male-to-female ratio was 1.67:1 (> 60% male), with an average age of 53.4 years (standard deviation 15.4 years). Most of the patients fell in the age range of 36 to 65 years (65%). The average duration was 5.6 days (range 0-35 days). The most common symptom was fever (84, 92.31%), followed by breathlessness (77, 84.62%) and fatigue (65, 71.43%). Only 10 had a positive contact history and only one patient reported travel to a containment zone. The source of infection was indeterminate in the majority of cases. Diabetes mellitus and hypertension were the commonest associated comorbidities. Almost three-quarters of the patients were tachypneic at admission and nearly 90% had low levels which included 43 patients with critically low SpO2. The inflammatory indicators, such as WBC count, CRP, and d-dimer, were raised in many patients (WBC count raised in 40% and d-dimer, CRP raised in > 50% of cases). A striking 83% of the patients had hyperglycemia. The most common immediate cause of death pertained to the respiratory system (ARDS, refractory hypoxia, respiratory) in more than half of the patients. CONCLUSION:  This study reported the clinical and laboratory characteristics of 91 adult COVID-19 mortality cases at a teaching hospital at the peak of the Delta wave in Karnataka. While inflammatory indicators such as WBC count, CRP, and d-dimer were raised in many patients, our most remarkable finding was the high frequency of hyperglycemia. The findings of our study would contribute to enhancing the understanding of the clinical correlates and progression of COVID-19.

COVID-19 Associated Stroke-A Single Centre Experience.

BACKGROUND AND PURPOSE: Various neurological complications have been reported in association with COVID-19. We report our experience of COVID-19 with stroke at a single center over a period of eight months spanning 1 March to 31 October 2020. METHODS: We recruited all patients admitted to Internal Medicine with an acute stroke, who also tested positive for COVID-19 on RTPCR. We included all stroke cases in our analysis for prediction of in-hospital mortality, and separately analyzed arterial infarcts for vascular territory of ischemic strokes. RESULTS: There were 62 stroke cases among 3923 COVID-19 admissions (incidence 1.6%). Data was available for 58 patients {mean age 52.6 years; age range 17-91; F/M=20/38; 24% (14/58) aged ≤40; 51% (30/58) hypertensive; 36% (21/58) diabetic; 41% (24/58) with O2 saturation <95% at admission; 32/58 (55.17 %) in-hospital mortality}. Among 58 strokes, there were 44 arterial infarcts, seven bleeds, three arterial infarcts with associated cerebral venous sinus thrombosis, two combined infarct and bleed, and two of indeterminate type. Among the total 49 infarcts, Carotid territory was the commonest affected (36/49; 73.5%), followed by vertebrobasilar (7/49; 14.3%) and both (6/49; 12.2%). Concordant arterial block was seen in 61% (19 of 31 infarcts with angiography done). 'Early stroke' (within 48 hours of respiratory symptoms) was seen in 82.7% (48/58) patients. Patients with poor saturation at admission were older (58 vs 49 years) and had more comorbidities and higher mortality (79% vs 38%). Mortality was similar in young strokes and older patients, although the latter required more intense respiratory support. Logistic regression analysis showed that low Glasgow coma score (GCS) and requirement for increasing intensity of respiratory support predicted in-hospital mortality. CONCLUSIONS: We had a 1.6% incidence of COVID-19 related stroke of which the majority were carotid territory infarcts. In-hospital mortality was 55.17%, predicted by low GCS at admission.

Survival patterns of lead-exposed workers with end-stage renal disease from Adult Blood Lead Epidemiology and Surveillance program.

BACKGROUND: One previous study has shown that patients with end-stage renal disease (ESRD) with higher blood lead levels (BLLs) have shorter survival, in a cohort without occupational exposure where follow-up began an average of 5 years after dialysis (a survivor population). METHODS: The authors studied individuals with at least 1 blood lead test who were part of an occupational lead surveillance program sponsored by the National Institute for Occupational Safety and Health and were diagnosed with ESRD. The authors studied the effect of BLL on survival from time of ESRD diagnosis after adjusting for potential confounders. Cox proportional hazards models were run, in which death was the end point and follow-up time was the time variable. RESULTS: There were 434 ESRD cases with 82% males, 65% white and 31% African American; 51% had 1 blood test, whereas the remainder had a median of 5 tests. The median years of follow-up were 2.7 years with 219 deaths in the cohort. After adjusting for covariates (eg, transplantation status, age at diagnosis, glomerular filtration rate, comorbidities and ethnicity), the authors found no significant association between highest measured BLL and mortality across categories; 0 to <5 µg/dL (hazard ratio [HR] = 1.00), 5 to <25 µg/dL (HR = 1.09; 95% confidence interval [CI]: 0.70-1.70), 25 to <40 µg/dL (HR = 1.28; 95% CI: 0.81-2.02), 40 to <50 µg/dL (HR = 0.89; 95% CI: 0.48-1.63) and 50+ µg/dL (HR = 1.09; 95% CI: 0.66-1.81). CONCLUSIONS: The authors found no association between BLL and survival after ESRD diagnosis. The authors' finding differs from earlier findings, possibly because the cohort had higher blood leads (25 versus 10 µg/dL), follow-up began at the time of ESRD diagnosis, and BLLs were measured before ESRD incidence.

Prevalence of stroke and post-stroke cognitive impairment in the elderly in Dharavi, Mumbai.

BACKGROUND AND PURPOSE: Lack of information is a major hurdle in combating stroke mortality and morbidity in India. This survey was undertaken in a slum area in Dharavi, Mumbai, to study the prevalence of stroke and post-stroke cognitive impairment in the elderly aged 60 years and above. METHODS: Participants selected using systematic random sampling of households, were interviewed using a modified version of the World Health Organization Protocol for Screening of Neurological Diseases. Stroke was confirmed through clinical examination, medical records review and interviews with caregivers. Cognitive impairment was assessed using Addenbrooke's scale and Mini mental status examination. RESULTS: Participants comprised 730 men and 996 women. Confirmed stroke in 66 individuals yielded a crude prevalence rate of 3.82% (95% CI 3.01 - 4.84); the prevalence standardized to WHO world population was 4.87% (95% CI 3.76 - 6.23). Prevalence rates increased with age and were higher in men than in women. Out of 27 stroke survivors evaluated for cognitive dysfunction, 18 (66.66%) had MMSE scores of less than 24. CONCLUSION: Stroke prevalence in slum-dwellers is comparable to that of other sections of society. Prevalence rates in this study are higher than rates seen in previous Indian studies, possibly due to the combined effects of population ageing with increased incidence of hypertension and diabetes mellitus, which also affect cognitive functions in stroke survivors.

The eunuch patient.

Eunuchs in India, commonly known as 'Hirjas', are under-represented and marginalized. They rarely access conventional health-provider systems due to mistrust and fear of censure. This is the story of Asha, who was brave enough to approach a community medicine resident in a municipal hospital for medical aid and counselling, and how she brought home the message that every patient deserves dignity and respect.