15 research outputs found

    Correlation of aspergillus skin hypersensitivity with the duration and severity of asthma

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    Asthma is a significant health problem worldwide and Allergic Bronchopulmonary aspergillosis (ABPA) complicates the course of 1-2% of patients of asthma. Aspergillus skin hypersensitivity (AH) is the first step for diagnosis of ABPA. This study was conducted to know the correlation of AH with severity and duration of asthma. Patients, age >15 years, of asthma attending this hospital from January 2015 to December 2015 were included. Asthma was diagnosed clinically and confirmed with spirometry. Of 282 patients 206 patients were AH positive. The AST-positivity in patients having severe asthma (96.8%) was higher than that in patients having mild (36.8%) and moderate asthma (80.4%). The median (IQR) duration of asthma of AH positive patients was 5.0 yrs. This study emphasized the need of ABPA screening by intradermal skin test especially in patients having severe asthma and/or those having asthma for longer duration in order for early diagnosis of ABPA

    Diagnostic utility of endobronchial ultrasound features in differentiating malignant and benign lymph nodes

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    Endobronchial ultrasound (EBUS) features have been shown to be useful in predicting etiology of enlarged malignant lymph nodes. However, there is dearth of evidence especially from developing countries. We assessed the EBUS characteristics across various mediastinal and hilar lymphadenopathies. In this prospective study, all patients with mediastinal and hilar lymphadenopathy on CT Chest and who were planned for EBUS-FNA (Fine Needle Aspiration) were included. EBUS features of lymph nodes studied were shape, size, margins, echogenicity, central hilar structure (CHS), coagulation necrosis sign and colour power doppler index (CPDI). These were scored and compared between benign and malignant lymphadenopathies. A total of 86 lymph nodes in 46 patients were prospectively studied of which 23 (26.7%) were malignant, 27 (31.3%) tuberculosis and 36 (41.8%) sarcoidosis. There was significant difference between malignant and benign lymph nodes in terms of CHS [central hilar structutre] (p=0.011), margins (p=0.036) and coagulation necrosis sign (p<0.001). On comparison of features of malignancy and tuberculosis, there were significant differences in margins (p=0.016) and coagulation necrosis sign (p 0.001). However, when malignancy and sarcoidosis was compared, there were differences in echogenicity (p=0.002), CHS (p=0.009) and coagulation necrosis sign (p<0.001). Only coagulation necrosis sign was found to be highly consistent with malignant lymph nodes. The other features cannot be used to distinguish malignant from benign lymph nodes, especially in a developing country like India where tuberculosis is a common cause of mediastinal lymphadenopathy

    The United States COVID-19 Forecast Hub dataset

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    Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages

    Longitudinal assessment of depression, stress, and burnout in medical students

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    Background: Medical students can and do suffer from mental disorders is a concept yet to get wide acceptance. There are few studies comprehensively evaluating depression, stress, and burnout in medical students, especially in a longitudinal way in India. The current study aims to assess the impact of medical education on the development of psychological morbidities and the role of personality. Materials and Methods: First-year medical students of a leading medical college of India were enrolled on admission and given anonymized, validated, self-administered questionnaires assessing depression, stress, burnout, and personality. This was repeated at the end of 1st year. Data were analyzed independently as questionnaires were anonymized. Results: We found that 1st year of medical college showed a significantly increasing depression (P < 0.01) and stress (P < 0.01). Overall burnout did not increase significantly. However, only disengagement dimension of burnout increased significantly. Personalities with weak capacity to adjust had a significant positive correlation with depression (r = 0.277, P< 0.001) and stress scores (r = 0.210, P = 0.008). However, burnout did not correlate with any of the personality dimensions. Conclusion: Right from the 1st year of medical education students perceive high-stress levels and have a high risk of depression. Burnout starts to creep in at least in the form of disengagement. This study provides a sound groundwork for planning interventions to reduce student’s mental morbidity and avoid burnout

    Prevalence of Hypothyroidism in Pregnant Women in India: A Meta-Analysis of Observational Studies

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    Introduction. This meta-analysis was conducted to estimate the prevalence of hypothyroidism among pregnant women in India. Methods. We searched PubMed, Web of Science, Scopus, Google Scholar, and Shodhganga (Indian thesis repository) for observational studies, providing prevalence of hypothyroidism among pregnant women in India. Systematic study selection and data extraction procedures were followed. Quality assessment of each study was done using JBI critical appraisal checklist. The random effects model was used for pooling the effect sizes. Publication bias was assessed using the funnel plot and rank correlation test. I2 statistics was used to measure heterogeneity across the studies. Heterogeneity in the pooled estimates was further explored with subgroup analyses and meta-regression analysis. Results. Sixty-one studies were found eligible and included in this review. The pooled estimate of the prevalence of hypothyroidism in pregnant women was 11.07% (95% CI: 8.79–13.84, I2 = 99%). Pooled prevalence estimates of subclinical and overt hypothyroidism are 9.51% (95% CI: 7.48–12.04, I2 = 98%) and 2.74% (95% CI: 2.08–3.58, I2 = 94%). Conclusion. We documented 11.07% pooled prevalence of hypothyroidism in pregnant women in India

    Effectiveness of ayurvedic formulation, NAOQ19 along with standard care in the treatment of mild-moderate COVID-19 patients: A double blind, randomized, placebo-controlled, multicentric trial

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    Background: Medicines in indigenous systems such as Ayurveda have strong antimicrobial activity but double-blind randomized control trials are infrequent in this system of medicine. The efficacy of a new ayurvedic formulation was evaluated during the pandemic. Methods: 150 mild-moderate COVID-19 patients were enrolled and randomized in 1:1 to NAOQ19 and placebo group. RT-PCR was done on Day 3, 5 and 7. CBC, CRP, LFT, and KFT were assessed at baseline and exit. Duration of hospital stay was noted and clinical assessment was also performed. Result: The results demonstrated more people turning RT-PCR negative in the NAOQ19 group compared to the placebo group on day 3 (p-value = 0.033). The mean time duration to turn RT-PCR negative was significantly lower in the NAOQ19 group (4.6 days) compared to placebo group (5.2 days) (p-value = 0.018). There was significant reduction in hospital stay among patients in the NAOQ19 arm who were discharged earlier (5.6 days) compared to placebo group (6.4 days) (p-value = 0.046). Patients in NAOQ19 arm did not show any adverse life-threatening events. Conclusion: The ayurvedic preparation given along with standard of care therapy reduced the duration of hospital stay and there was earlier conversion to RT-PCR negative.The integrated approach can help to reduce patient workload in the hospitals as well as limit the transmission of the virus in the community. Study registration: CTRI/2021/05/033790
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