Search

Background Obstructive sleep apnea (OSA) is a progressive sleep disordered breathing condition characterized by repeated episodes of upper airway collapse during sleep. Despite being the most common sleep apnea, it often remains undiagnosed and untreated, especially in rural communities. There is a paucity of literature estimating the prevalence of the disease and associated risk factors from the rural population of Odisha. Methods It is a cross-sectional study that was conducted in a rural community of Odisha, India to find out the prevalence of people living with the risk of OSA. Multi-staged sampling was done. Participants were evaluated using the Berlin questionnaire (BQ) after obtaining informed consent. Data were analyzed using SPSS with the significance level set at 95%. Univariate and multivariate analysis was done to evaluate the risk factors associated with the condition. Results Out of 200 community dwellers surveyed using the BQ, 25% had a high likelihood of OSA. Among these high risk subjects, snoring was reported by 70%, excessive daytime sleepiness by 50%. Out of those who were at risk of OSA, 28% were smokers and 48% reported alcohol use. The associated risk factors were age >35 years (OR = 4.5, 95% CI = 1.4–13.8, p 10.5, p Conclusion OSA is highly prevalent in the rural community of Odisha. Independent risk factors associated with such subjects were obesity, regular alcohol consumption, and hypertension. Further prevalence studies are recommended.

Introduction: Organ dysfunction due to sepsis is manifested as acute rise of 2 points in quick Sequential Organ Failure Assessment (qSOFA) score from baseline, which is assessed by: 1) Systolic Blood Pressure (SBP) ≤100 mmHg; 2) Respiration Rate (RR) ≥22/min; 3) altered mentation, each having one point. For timely and specific management, an early diagnosis and stratification of severity of the sepsis is important. To predict the outcome of sepsis many scoring systems like SOFA, Acute Physiology and Chronic Health Evaluation II (APACHE II), Rapid Emergency Medicine Score (REMS), Mortality Prediction Model (MPM) have been developed. REMS is simple and feasible scoring system comprising of simple variables like, age in years, Pulse Rate (PR), RR, Mean Arterial Pressure (MAP), Glasgow Coma Scale (GCS) and SpO2 estimation. Aim: The aim of the study was to evaluate the efficacy of REMS score and to validate its utility in patients with sepsis to predict mortality. Materials and Methods: This was an observational, cohort study conducted in the Department of Medicine of SCB Medical College and Hospital, Cuttack. A total of 100 patients of sepsis admitted to medical wards and Intensive Care Unit (ICU) of Medicine department were included in the study. Vital parameters like PR, SBP, RR, GCS, SpO2 were noted. REMS score was calculated for patients with sepsis and septic shock, among survivors and non survivors. Primary outcome was either death or discharged. The observed data was statistically analysed for utility of REMS score in predicting mortality, which is the secondary outcome of the study. Student’s t-test and Mann-Whitney U test were used for comparing normally and non-normally distributed data respectively. Univariate and multivariate logistic regression was done for all parameters in REMS. Results: The average age of the patients was 49 years (SD 14.5) with males and females almost equally distributed. Major source of infection were pneumonia (24%) followed by urinary tract infections (19%). REMS score was calculated on the day of admission of all 100 patients. It clearly distinguished survivors from non survivors (p

Introduction: It is well known that hyponatremia is common in severe malaria. However, there is scanty and conflicting literature regarding hyponatremia as a predictor of mortality in severe malaria. Aim: To determine the prevalence of hyponatremia in severe malaria and its association with mortality. Materials and Methods: It was a hospital based cross-sectional study conducted in a tertiary care referral hospital in the state of Odisha in India. Sample size was calculated to be 99 by using the prevalence of hyponatremia in severe malaria 55% with absolute precision of 10%. Taking into account of 10% drop out rates, the final sample size was determined to 109. Considering the prevalence of mixed plasmodium infection to be 13% and the proportion of falciparum to vivax infection to be 49:51, samples ≥45 in each group was adequate for comparison. Consecutive sampling was done over a period of two years. Severe malaria included either infection with Plasmodium falciparum alone or both Plasmodium falciparum and Plasmodium vivax along with any one feature of WHO criteria for severity. Patients aged more than 15 years with both smear positive and rapid card test positive were included. Vital parameters and electrolyte levels were measured for each patient. The data was analysed using SPSS and significance level was set at 95%. Results: Out of the total number of 110 cases of severe malaria, isolated falciparum malaria was 57.3% (n=63) vs. mixed falciparum-vivax infection of 42.7% (n=47); overall mortality was 6.3% (n=4) vs. 14.8% (n=7) respectively. Hyponatremia was observed in 63.6% (n=70) of the total cases. The difference in incidence of hyponatremia in both the groups was 133±6 mEq/L vs. 127±6.3 mEq/L respectively and was statistically significant. Among the hyponatremic group of patients, the difference in level of sodium in both the group was (128±3.5 vs. 124±3.2) mEq/L and was statistically significant. Overall mortality rate was 10% (n=11/110), however mortality rate among the hyponatremic patients was 15.7% (n=11/70; 12.1% vs. 18.9% in both the groups respectively). Hyponatremia at a cut-off of 126 mEq/L predicted mortality with a sensitivity of 81.8%, specificity of 78.8%, and negative predictive value of 97.5%. Conclusion: Hyponatremia was highly prevalent among the severe malarial patients. Higher degree of hyponatremia was observed in mixed plasmodium infection. Severe hyponatremia predicted mortality with high sensitivity and specificity.