Anesthesia Management in an Edentulous Patient with Huge Parotid Tumour: Case Report

Huge head and neck tumors are known to cause difficult ventilation and difficult intubation. Edentulous mouth can result in difficult mask ventilation. Head and neck tumor resections can also present hemodynamic challenge, due to their proximity to large vessels. We herein report a clinical case of difficult ventilation due to large parotid tumor in an edentulous patient

Admission characteristics and outcome in traumatic brain injury patients: A preliminary report from a tertiary care hospital

Introduction. Traumatic brain injury (TBI) is affected by multiple factors. Patient’s education, manifesting symptoms and surgical management play a significant role on discharge outcome. The literature of same from developing country is limited. The present pilot study aims to describe patient characteristics, presenting symptom and management aspects of TBI patients from a tertiary hospital. Methods. The present study is a prospective study, where TBI patients were selected and data of injury was entered on standard proforma on electronic data base. The study was approved by institute ethical board. The data was analyzed using Stats Direct version 3.0.150 software. Results. Three hundred and thirty three patients were evaluated. Eighty percent of patients were from rural areas. About 75% of patients were illiterates and married. Patient employment was significant with discharge outcome. All the patients manifested with symptoms loss of consciousness (LOC) was higher (73%) followed by vomiting (44%). LOC and oral bleed was significant with outcome. Associated injuries was higher in extremities (22.5%) followed by chest (4.4%). About 15% of patients require intracranial surgery that was significant with discharge outcome. Conclusion. The present pilot study finding is similar to available literature data and adds knowledge to TBI data of a developing country like India

A descriptive study of cranio-cerebral injuries admitted in tertiary care center of coastal Andhra Pradesh

Introduction: Demographic and clinical profile of traumatic brain injury (TBI) of a particular place is very crucial for strengthening the guidelines. The details of same are scant from a tertiary institute, Nellore district. The present study aims to explore the demographic, injury and clinical aspects of cerebro-cranial injury patients from an institute setup. Methods: The study consists of two years retrospective data and one year prospective data. The study was approved by institute ethical committee. The patient data was entered on pre designed proforma that includes the desired variables. The data analysis was done using StatsDirect software. Both prospective and retrospective data was merged for analysis. Percentages for categorical data and mean values for continuous data were calculated. Results: There were total of 336 patients. Patients in age group of 21 to 50 years constituted 67% and males were four times higher than females. Nearly one fourth of patients were influenced by alcohol. Three fourth of accidents were due to road traffic accidents (RTAs) followed by falls (17%) and assault (6%). About one tenth of patients were pedestrians. One fourth of patients had associated injuries other than head and brain. On CT findings majority of patients had cerebral contusion (46%) followed by skull fracture (40%), SDH (28%) and EDH (23%). Twenty two patients died in the study period. Conclusion: Knowledge of injury and its later consequences to public is very important. Strict rules to consider safety precautions and compulsory family insurances should be encouraged. Rules to prevent paediatric drive

Commonly available CT characteristics and prediction of outcome in traumatic brain injury patients

Background: Acute Computerized Tomography (CT) characteristics are used widely and most accepted for prediction of outcome among Traumatic Brain Injury (TBI). The commonly available and simple combinations of existing and unexplored CT parameters may be more useful in prediction of outcome. The present study explores commonly available CT characteristics by possible combinations based on anatomical basics.Methods: Abnormal CT sign was considered with any cranial lesion. Based on anatomical locations of cortical lobes, nine possibilities were made that include individual and combinations of mentioned lobes. The laterality was either right or left or bilateral. The outcome was favourable or unfavourable based on discharge Glasgow Outcome Scale (GOS). Binary logistic regression was used to predict outcome.Results: 452 patients were recruited in the present study. There was significant risk of unfavourable outcome among patients with location of Sub Dural Haemorrhage (SDH) in Parietal + Temporal region (OR=10,p<0.001); Cerebral Contusion in Temporal region (OR=3,p=0.03), Frontal + Temporal region(OR=16,P=0.001), Frontal + Parietal + Temporal region (OR=18.7,p<0.001). Patients with four abnormal CT signs had worst outcome. Presence of SDH on right side (OR=4.5,p<0.001) and bilateral Cerebral Contusion (OR=4.5,p=0.003) was at the risk of unfavourable outcome.Conclusion: The present study based on anatomical classification has shown that location and laterality of lesion can significantly predict TBI outcome

Assessing the burden of COVID-19 among children aged 6-14 years in Karnataka, India: A cross-sectional survey

Background: India experienced three coronavirus disease (COVID-19) waves, with the third attributed to the highly contagious Omicron variant. Before the national vaccination rollout for children above 6, understanding severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin G (IgG) positivity in the pediatric population was essential. This study aims to assess the burden of Covid-19 infection and to estimate the seroprevalence in children aged 6 to 14 years in the state of Karnataka. Material and Methods: We surveyed 5,358 children aged 6-14 across Karnataka using 232 health facilities, from June 6 to 14, 2022. We determined the sample size using the PPS (Population Proportional to Size) technique and employed cluster sampling. We tested all participants for SARS-CoV-2 IgG with an enzyme-linked immunosorbent assay (ELISA) kit and SARS-CoV-2 RNA with reverse transcription-polymerase chain reaction (RT-PCR). We sequenced samples with a cycle threshold (CT) value below 25 using whole genomic sequencing (WGS). Result: We found an adjusted seroprevalence of IgG at 75.38% statewide, and we found 0.04% of children RT-PCR positive for COVID-19. We determined a case-to-infection ratio of 1:37 and identified the SARS-CoV-2 strains as Omicron, BA.5, and BA.2.10. Conclusion: The study showed a high seroprevalence of IgG among children with low active infection. Omicron, BA. 5, and BA. 2.10 variants were detected through WGS

The burden of active infection and anti-SARS-CoV-2 IgG antibodies in the general population: Results from a statewide sentinel-based population survey in Karnataka, India

Objective: To estimate the burden of active infection and anti-SARS-CoV-2 IgG antibodies in Karnataka, India, and to assess variation across geographical regions and risk groups. Methods: A cross-sectional survey of 16,416 people covering three risk groups was conducted between 3–16 September 2020 using the state of Karnataka’s infrastructure of 290 healthcare facilities across all 30 districts. Participants were further classified into risk subgroups and sampled using stratified sampling. All participants were subjected to simultaneous detection of SARS-CoV-2 IgG using a commercial ELISA kit, SARS-CoV-2 antigen using a rapid antigen detection test (RAT) and reverse transcription-polymerase chain reaction (RT-PCR) for RNA detection. Maximum-likelihood estimation was used for joint estimation of the adjusted IgG, active and total prevalence (either IgG or active or both), while multinomial regression identified predictors. Results: The overall adjusted total prevalence of COVID-19 in Karnataka was 27.7% (95% CI 26.1–29.3), IgG 16.8% (15.5–18.1) and active infection fraction 12.6% (11.5–13.8). The case-to-infection ratio was 1:40 and the infection fatality rate was 0.05%. Influenza-like symptoms or contact with a COVID-19-positive patient were good predictors of active infection. RAT kits had higher sensitivity (68%) in symptomatic people compared with 47% in asymptomatic people. Conclusion: This sentinel-based population survey was the first comprehensive survey in India to provide accurate estimates of the COVID-19 burden. The findings provide a reasonable approximation of the population immunity threshold levels. Using existing surveillance platforms coupled with a syndromic approach and sampling framework enabled this model to be replicable