1.A 26-Year Secret: An Unusual Culprit Behind Massive Hemoptysis: A Case Report
Robin Benzigar POOVATTIL ; Roman DUTTA ; Haritha Therse JOSEPH ; Abhishek MOHAN ; Shyam RENGAN ; Rohit RATHI ; Sabyasachi BAL
Journal of Chest Surgery 2026;59(1):39-41
Foreign body aspiration is frequently encountered in children but can also occur in adults, where it often remains undiagnosed for years. Forgotten foreign bodies within the bronchial tree may later manifest with either vague symptoms or life-threatening complications, such as massive hemoptysis. Contrast-enhanced computed tomography of the thorax is the preferred initial diagnostic modality and can suggest the presence of a foreign body. We present a case involving an adult who remained undiagnosed until adulthood, when he was ultimately found to have a foreign body embedded in the lung parenchyma.
2.AI-CoV Study: Autoimmune Encephalitis Associated With COVID-19 and Its Vaccines—A Systematic Review
MM SAMIM ; Debjyoti DHAR ; Sheetal GOYAL ; Treshita DEY ; Naznin PARVIN ; Rutul D. SHAH ; Vikram SINGH ; Sampurna CHOWDHURY ; Bhavesh Mohan LAL ; Nibu VARGHESE ; Abhishek GOHEL ; Abhishek CHOWDHURY ; Aritra CHATTERJEE ; Shahyan SIDDIQUI
Journal of Clinical Neurology 2022;18(6):692-710
Background:
and Purpose Autoimmune encephalitis (AIE) following coronavirus disease 2019 (COVID-19) is an underexplored condition. This study aims to systematically review the clinico-investigational and pathophysiologic aspects of COVID-19 and its vaccines in association with AIE, and identify the factors predicting neurological severity and outcomes.
Methods:
Relevant data sources were searched using appropriate search terms on January 15, 2022. Studies meeting the criteria for AIE having a temporal association with COVID-19 or its vaccines were included.
Results:
Out of 1,894 citations, we included 61 articles comprising 88 cases: 71 of COVID-19-associated AIE, 3 of possible Bickerstaff encephalitis, and 14 of vaccine-associated AIE.There were 23 definite and 48 possible seronegative AIE cases. Anti-NMDAR (N-methyl-D-aspartate receptor; n=12, 16.9%) was the most common definite AIE. Males were more commonly affected (sex ratio=1.63) in the AIE subgroup. The neurological symptoms included altered mental state (n=53, 74.6%), movement disorders (n=28, 39.4%), seizures (n=24, 33.8%), behavioural (n=25, 35.2%), and speech disturbances (n=17, 23.9%). The median latency to AIE diagnosis was 14 days (interquartile range=4–22 days). Female sex and ICU admission had higher risks of sequelae, with odds ratio (OR) of 2.925 (95% confidence interval [CI]=1.005–8.516) and 3.515 (95% CI=1.160–10.650), respectively. Good immunotherapy response was seen in 42/48 (87.5%) and 13/13 (100%) of COVID-19-associated and vaccine-associated AIE patients, respectively. Sequelae were reported in 22/60 (36.7%) COVID-19 associated and 10/13 (76.9%) vaccine-associated cases.
Conclusions
The study has revealed diagnostic, therapeutic, and pathophysiological aspects of AIE associated with COVID-19 and its vaccines, and its differences from postinfectious AIE.Systematic review registration PROSPERO registration number CRD42021299215
3.Prevalence and Predictors of Unmet Needs among the Elderly Residents of the Rural Field Practice Area of a Tertiary Care Centre from Northern India
Abhishek Singh ; Mohan Bairwa ; Shewtank Goel ; Ravi Bypareddy ; Prassana Mithra
Malaysian Journal of Medical Sciences 2016;23(5):44-50
Background: Surrogate markers simple enough to be used by primary care workers
have not been closely investigated by the community experts in rural Uttar Pradesh. We assessed
the physical disabilities in activities of daily living (ADL) and unmet need in physical disabilities
among rural elderly. Predictors of unmet needs in physical disabilities among the elderly were
also identified.
Methods: A community based cross-sectional study was conducted among elderly
residents of the rural field practice area of a tertiary care centre in rural Uttar Pradesh. Three
hundred and thirty five (335) participants aged 60 years and above from 9 villages were selected
using the Probability Proportional to Size (PPS) sampling technique. Study tools were the
proforma regarding socio-demographic details, socio-economic status and Stanford Health
Assessment Questionnaire. Multivariate logistic regression analysis was performed to identify
predictors of unmet needs.
Results: 185 (55.2%) had physical disability in one or more activity limitation. Gender
wise elderly females had more physical disability in one or more ADL categories than elderly
males (66.8% vs. 42.0%). Almost one third (32.5%) of subjects had unmet need for one or more
physical disabilities. the predictors of unmet needs that were identified in the study were female
gender (P = 0.046), elderly aged 70 years and above (P = 0.032), those living alone (P = 0.035),
low monthly family income (P = 0.044), financially fully dependent elderly (P = 0.0002), and
those having 3 or more physical disabilities (P = 0.033).
Conclusions: The findings of the study highlight that large number of needs of the
disabled are still unmet. Greater, targeted efforts are needed to identify at-risk elderly people
living in the community. These predictors would act as surrogate markers and can be easily used
by primary care workers to plan and provide services to the elderly people in rural communities.

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