Objective: To determine the Paracetamol induced liver enzyme (AST/ALT) changes in dengue fever in a tertiary care hospital of Hyderabad. Study Design: Observational Study. Setting: Emergency Department of Medicine, Isra University Hospital, Hyderabad. Period: May 2018 to May 2019. Material & Methods: A total of 100 patients of age ≥12 years with dengue fever were included. AST and ALT levels were obtained in the first week and third week of course of illness. Paracetamol was used for anti-pyretic/analgesia purpose was compared of first week with third week. Statistical analysis was done using SPSS. Chi-square test and student’s t-test were applied as appropriate. P value ≤0.05 was considered as significant. Results: Out of total 100 patients, there were 56% males and 44% females and overall mean age was 35.21±15.13 years. The overall mean weight, height, BMI, and mean duration of fever in days was 61.13±17.26 kg, 1.60±0.14 meter, 23.85±6.73 kg/m2, and 4.20±1.43 days, respectively. Independent t test shows significant mean difference of AST/ALT ratio at 1st week (p=0.000) as well as at 3rd week (p=0.020) according to paracetamol dose. Conclusion: In our study, results showed significant improvement in AST, ALT, and AST/ALT ratio at 1st week and 3rd week.
Introduction: The spread of the corona virus has been so swift and intense that since October of 2020. The first case of this viral infection was reported and diagnosed in December of 2019 and since then this disease has taken no time in turning into a worldwide pandemic. Aim: To assess the inter-relationship of comorbidities and mortality in patients infected with the coronavirus disease. Methodology: The method of this study included taking into consideration all individuals infected with the viral disease in the specific time period. This study focuses on achieving results against two outcomes: Mortality as a result of any cause within 30-days after the initial COVID-19 virus detection and severity index data (composite) containing hospitalization and mortality details. The logistic regressions model and Cox proportional hazards regression model were used to adapt the study being conducted to the socio-economic situation. The conclusions drawn from the study were also divided into age groups. A sum total of 200 individuals infected with COVID-19 were taken into consideration for this study. Half of these patients were assessed and were shown to have at least one other disease (comorbidity). These patients were followed up and the median time period for this follow-up assessment was 20 days. Study design: A Cross sectional study. Place and Duration: Isra University Hospital from 1st Feburary 2021 to 31st July 2021. Results: The results of this study showed that the participants of this study that one or more secondary illnesses (primary illness, in this case, being the coronavirus infection) had a higher chance of death via coronavirus as compared to individuals only infected by the viral infection. The study also brought to attention that as each number of comorbidities grew (for example, if a patient infected with COVID-19 was also assessed positive for hypertension and heart diseases, so did the chance for mortality; 2.14 times per comorbidity. The adverse impact of one or more comorbidities on people over the age of 50 is much more drastic (higher risk of death) as compared to people under than the said age group. Conclusion: This study has found that the presence of comorbidities in the considered individuals such as Asthma, chronic obstructive pulmonary disease, chronic kidney disease, chronic liver disease, hypertension, ischemic heart disease, rheumatoid arthritis, diabetes mellitus and HIV were associated with severity in the coronavirus disease as well as a high risk of mortality.
Objective: The purpose behind this study was to determine the predictors of morbidity and mortality during hospitalization caused by cerebrovascular accident. Study Design: Cross Sectional study. Setting: Emergency Department of Medicine, Isra University Hospital, Hyderabad. Period: October 2017 to May 2018. Material & Methods: We have evaluated a total of 124 patients who presented and were admitted with signs and symptoms of stroke and confirmatory diagnosis was made based on CT scan. All baseline and clinical variables recorded in a structured questionnaire and the data were evaluated in Statistical Package for the Social Sciences (SPSS) version 21.0. Outcome of these patients were observed based on the number of patients died during hospitalization and poor outcome associated predictors. Results: A total of 124 patients were selected for this study. The mean age of patients was 58.52 years (13.44 ± SD). In this observational study we have observed hypertension (N = 106, 85.5%) was the most common predictor of hospitalization among patients with stroke. The overall mortality associated with stroke was 16.13% (20 cases out of total 124). Infection of urinary tract during hospitalization, patients presented with unconsciousness, area of thalamic infarction, involvement of middle cerebral artery, and posterior cerebral artery infarction were the most common predictors of stroke related in-hospital mortality. Conclusion: Overall, corrected stroke related in-hospital mortality rate was 16.13% and patients who presented with loss of consciousness, infection of urinary tract, thalamic infarction, and area involving the middle cerebral artery were associated with higher in-hospital stroke related mortality.
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