Pigeon fancier’s lung – An under-diagnosed cause of severely debilitating and chronic breathlessness

AbstractPigeon fanciers lung or Bird fanciers lung (BFL) is one of the common and preventable causes of hypersensitivity pneumonitis. It is an under diagnosed cause of severe incapacitating breathlessness and can be acute, sub-acute or chronic. We report a case of 53year old female who presented with severe chronic breathlessness due to regular exposure to pigeons for last 35years. Clinicians should take a detailed history of exposure in patients with unexplained breathlessness as the avoidance of exposure to the antigens can reverse the disease preventing the morbidity and mortality of the patient

Prevalence of primary drug resistance to rifampicin and isoniazid in newly diagnosed sputum smear positive pulmonary Tuberculosis

Background: To determine the prevalence of primary drug resistance to either rifampicin or isoniazid alone or both in newly diagnosed sputum smear positive pulmonary tuberculosis patients.Method: A prospective study 100 newly diagnosed sputum smear positive pulmonary TB patients was conducted. The patients with an age of ≥15 years and who had either not taken anti TB treatment or who had taken ATT for less than 1 month were enrolled in this study. Two sputum samples (5ml each), including one early morning sample as per the RNTCP guidelines were collected and subjected to line probe assay (LPA).Results: Out of 100 cases 6 were having resistance to both rifampicin and isoniazid, 9 has resistance to INH alone and 1 had resistance to rifampicin alone.Conclusion: The prevalence of primary drug resistance is high. For early and rapid detection of DR-TB newer modality should be used  for the detection of primary drug resistance in sputum smear positive TB patients

Stigma and self-esteem in patients of bronchial asthma

Asthma is a debilitating chronic disease that renders individuals physically as well as mentally sick. The perception of stigmatization further leads to inappropriate control of asthma resulting in a bidirectional relationship. A prospective, cross-sectional study was conducted in a tertiary care centre of semi urban area of north India during 2021-2022. Three hundred cases of bronchial asthma and 50 healthy controls were enrolled. The asthma control test (ACT) was used to evaluate the control of asthma. Stigma and self-esteem were measured with the use of 28 item self-stigma scale, Rosenberg self-esteem scale, and stigma-related social problem scale (SPSS). The impact of sociodemographic and clinical profiles on stigma and self-esteem was evaluated. Correlation of different scales with each other was done along with. The mean age of asthmatic patients was 47.41±15.507 years with 56% being females; 49.3% of patients were well controlled and 36.3% were partly controlled. Positive subscales of 28 item self-stigma scale, Rosenberg self-esteem scale and SSPS showed statistically significant differences between cases and controls (p<0.001). ACT significantly correlated with 28 item self-stigma scale, Rosenberg self-esteem scale and SSPS, and all three stigma and self-esteem scales correlated significantly with each other

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

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

Psychosocial Impact of Pandemic and State Imposed Lockdown on Caregivers of Patients Presenting with Respiratory Complaints Mimicking COVID-19: A Short-term Follow-up Study

Introduction: Pandemics and subsequent lockdowns affect mental health of different subgroups of populations. In Coronavirus Disease-2019 (COVID-19), caregivers of those patients who have respiratory complaints is one such subgroup which is more vulnerable to disturbances in mental health, because of the fear that their patient’s respiratory symptoms could be because of COVID-19. Aim: To assess the psychosocial impact of COVID-19 and subsequent state imposed lockdown on the caregivers of patients presenting with respiratory complaints and also to evaluate the effect of relaxation of lockdown after following-up them over a period of time. Materials and Methods: This prospective observational study was conducted in the Department of Pulmonary Medicine, Government Medical College, Patiala, Punjab, India (tertiary care institute), from April 2020 to June 2020. Baseline assessment was done using socio-demographic proforma, lockdown related questionnaire {3 domains, summed as total score (lockdown)}, COVID-19 related questionnaire {total score (COVID-19)} and General Health Questionnaire-12-Hindi version (GHQ-12). Reassessment was done twice i.e., at 11-15 days and 41-45 days after relaxation of lockdown. Quality Of Life (QOL) at first and second follow-up versus prelockdown times (score A and C) and first follow-up versus unlockdown (score B) was also noted. Analysis was conducted using Statistical Package for Social Sciences (IBM, SPSS)version 22.0. Results: Total 65 caregivers were enrolled in the study. Mean age of the participants was 40.2±11.812 years with maximum caregivers 25 (41.7%) aged between 31-40 years. Majority (83.3%) were men. Psychological distress was experienced in 50% of caregivers at baseline and 23.7% caregivers at first follow-up (p-value=0.001). Worry for COVID-19 (p-value=0.035), Domain 1 scores (p-value <0.001), Domain 2 scores (p-value=0.003), Domain 3 scores (p-value=0.001), and Total score lockdown (p-value <0.001) decreased significantly at first follow-up. Mean C score was significantly better than mean A score (p-value <0.001). Baseline psychological distress was significantly more in those with worry for COVID-19 (p-value=0.018), poorer scores of domains 1 (p-value=0.005), domains 2 (p-value <0.001), domains 3 (p-value <0.001), total score (lockdown) (p-value <0.001) and total score (COVID-19) (p-value=0.010). Follow-up psychological distress was more in those with “worry for COVID-19” (p-value <0.001), negative thoughts (p-value=0.001), poorer follow-up scores of three domains, total score (lockdown), mean A, B and C scores (p-value <0.001). Conclusion: Caregivers experienced extreme levels of psychological distress, which decreased, but persisted even after relaxation in lockdown

Chest pain with ST segment elevation in a patient with prosthetic aortic valve infective endocarditis: a case report

<p>Abstract</p> <p>Introduction</p> <p>Acute ST-segment elevation myocardial infarction secondary to atherosclerotic plaque rupture is a common medical emergency. This condition is effectively managed with percutaneous coronary intervention or thrombolysis. We report a rare case of acute myocardial infarction secondary to coronary embolisation of valvular vegetation in a patient with infective endocarditis, and we highlight how the management of this phenomenon may not be the same.</p> <p>Case presentation</p> <p>A 73-year-old British Caucasian man with previous tissue aortic valve replacement was diagnosed with and treated for infective endocarditis of his native mitral valve. His condition deteriorated in hospital and repeat echocardiography revealed migration of vegetation to his aortic valve. Whilst waiting for surgery, our patient developed severe central crushing chest pain with associated anterior ST segment elevation on his electrocardiogram. Our patient had no history or risk factors for ischaemic heart disease. It was likely that coronary embolisation of part of the vegetation had occurred. Thrombolysis or percutaneous coronary intervention treatments were not performed in this setting and a plan was made for urgent surgical intervention. However, our patient deteriorated rapidly and unfortunately died.</p> <p>Conclusion</p> <p>Clinicians need to be aware that atherosclerotic plaque rupture is not the only cause of acute myocardial infarction. In the case of septic vegetation embolisation, case report evidence reveals that adopting the current strategies used in the treatment of myocardial infarction can be dangerous. Thrombolysis risks intra-cerebral hemorrhage from mycotic aneurysm rupture. Percutaneous coronary intervention risks coronary mycotic aneurysm formation, stent infections as well as distal septic embolisation. As yet, there remains no defined treatment modality and we feel all cases should be referred to specialist cardiac centers to consider how best to proceed.</p

Textbook of Psychiatry First Edition, Draft 2

This multi-authored collaborative textbook on psychiatry, originally created on Wikibooks, discusses a range of psychiatric disorders, including psychotic, mood and and anxiety disorders, amongst many others. It covers other aspects of psychiatric care such as diagnosis, neurobiology, psychopharmacology, treatment methods, and dealing with agitated or violent patients

Prevalence and factors associated with tuberculosis infection in India

Background: The risk of tuberculosis (TB) disease is higher in individuals with TB infection. In a TB endemic country like India, it is essential to understand the current burden of TB infection at the population level. The objective of the present analysis is to estimate the prevalence of TB infection in India and to explore the factors associated with TB infection. Methods: Individuals aged > 15 years in the recently completed National TB prevalence survey in India who were tested for TB infection by QuantiFERON-TB Gold Plus (QFT-Plus) assay were considered for this sub- analysis. TB infection was defined as positive by QFT-Plus (value > 0.35 IU/ml). The estimates for prevalence, prevalence ratio (PR) and adjusted risk ratio (aRR) estimates with 95% confidence intervals (CIs) were calculated. Results: Of the 16864 individuals analysed, the prevalence of TB infection was 22.6% (95% CI:19.4 −25.8). Factors more likely to be associated with TB infection include age > 30 years (aRR:1.49;95% CI:1.29–1.73), being male (aRR:1.26; 95%CI: 1.18–1.34), residing in urban location (aRR:1.58; 95%CI: 1.03–2.43) and past history of TB (aRR:1.49; 95%CI: 1.26–1.76). Conclusion: About one fourth (22.6%) of the individuals were infected with TB in India. Individuals aged > 30 years, males, residing in urban location, and those with past history of TB were more likely to have TB infection. Targeted interventions for prevention of TB and close monitoring are essential to reduce the burden of TB in India

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

Background: Estimates of demographic metrics are crucial to assess levels and trends of population health outcomes. The profound impact of the COVID-19 pandemic on populations worldwide has underscored the need for timely estimates to understand this unprecedented event within the context of long-term population health trends. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 provides new demographic estimates for 204 countries and territories and 811 additional subnational locations from 1950 to 2021, with a particular emphasis on changes in mortality and life expectancy that occurred during the 2020–21 COVID-19 pandemic period. Methods: 22 223 data sources from vital registration, sample registration, surveys, censuses, and other sources were used to estimate mortality, with a subset of these sources used exclusively to estimate excess mortality due to the COVID-19 pandemic. 2026 data sources were used for population estimation. Additional sources were used to estimate migration; the effects of the HIV epidemic; and demographic discontinuities due to conflicts, famines, natural disasters, and pandemics, which are used as inputs for estimating mortality and population. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate under-5 mortality rates, which synthesised 30 763 location-years of vital registration and sample registration data, 1365 surveys and censuses, and 80 other sources. ST-GPR was also used to estimate adult mortality (between ages 15 and 59 years) based on information from 31 642 location-years of vital registration and sample registration data, 355 surveys and censuses, and 24 other sources. Estimates of child and adult mortality rates were then used to generate life tables with a relational model life table system. For countries with large HIV epidemics, life tables were adjusted using independent estimates of HIV-specific mortality generated via an epidemiological analysis of HIV prevalence surveys, antenatal clinic serosurveillance, and other data sources. Excess mortality due to the COVID-19 pandemic in 2020 and 2021 was determined by subtracting observed all-cause mortality (adjusted for late registration and mortality anomalies) from the mortality expected in the absence of the pandemic. Expected mortality was calculated based on historical trends using an ensemble of models. In location-years where all-cause mortality data were unavailable, we estimated excess mortality rates using a regression model with covariates pertaining to the pandemic. Population size was computed using a Bayesian hierarchical cohort component model. Life expectancy was calculated using age-specific mortality rates and standard demographic methods. Uncertainty intervals (UIs) were calculated for every metric using the 25th and 975th ordered values from a 1000-draw posterior distribution. Findings: Global all-cause mortality followed two distinct patterns over the study period: age-standardised mortality rates declined between 1950 and 2019 (a 62·8% [95% UI 60·5–65·1] decline), and increased during the COVID-19 pandemic period (2020–21; 5·1% [0·9–9·6] increase). In contrast with the overall reverse in mortality trends during the pandemic period, child mortality continued to decline, with 4·66 million (3·98–5·50) global deaths in children younger than 5 years in 2021 compared with 5·21 million (4·50–6·01) in 2019. An estimated 131 million (126–137) people died globally from all causes in 2020 and 2021 combined, of which 15·9 million (14·7–17·2) were due to the COVID-19 pandemic (measured by excess mortality, which includes deaths directly due to SARS-CoV-2 infection and those indirectly due to other social, economic, or behavioural changes associated with the pandemic). Excess mortality rates exceeded 150 deaths per 100 000 population during at least one year of the pandemic in 80 countries and territories, whereas 20 nations had a negative excess mortality rate in 2020 or 2021, indicating that all-cause mortality in these countries was lower during the pandemic than expected based on historical trends. Between 1950 and 2021, global life expectancy at birth increased by 22·7 years (20·8–24·8), from 49·0 years (46·7–51·3) to 71·7 years (70·9–72·5). Global life expectancy at birth declined by 1·6 years (1·0–2·2) between 2019 and 2021, reversing historical trends. An increase in life expectancy was only observed in 32 (15·7%) of 204 countries and territories between 2019 and 2021. The global population reached 7·89 billion (7·67–8·13) people in 2021, by which time 56 of 204 countries and territories had peaked and subsequently populations have declined. The largest proportion of population growth between 2020 and 2021 was in sub-Saharan Africa (39·5% [28·4–52·7]) and south Asia (26·3% [9·0–44·7]). From 2000 to 2021, the ratio of the population aged 65 years and older to the population aged younger than 15 years increased in 188 (92·2%) of 204 nations. Interpretation: Global adult mortality rates markedly increased during the COVID-19 pandemic in 2020 and 2021, reversing past decreasing trends, while child mortality rates continued to decline, albeit more slowly than in earlier years. Although COVID-19 had a substantial impact on many demographic indicators during the first 2 years of the pandemic, overall global health progress over the 72 years evaluated has been profound, with considerable improvements in mortality and life expectancy. Additionally, we observed a deceleration of global population growth since 2017, despite steady or increasing growth in lower-income countries, combined with a continued global shift of population age structures towards older ages. These demographic changes will likely present future challenges to health systems, economies, and societies. The comprehensive demographic estimates reported here will enable researchers, policy makers, health practitioners, and other key stakeholders to better understand and address the profound changes that have occurred in the global health landscape following the first 2 years of the COVID-19 pandemic, and longer-term trends beyond the pandemic

Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021

Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. Findings: In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8–63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0–45·0] in 2050) and south Asia (31·7% [29·2–34·1] to 15·5% [13·7–17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4–40·3) to 41·1% (33·9–48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6–25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5–43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5–6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2–26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [–0·6 to 3·6]). Interpretation: Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions