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1.
J Family Med Prim Care ; 11(9): 5643-5648, 2022 Sep.
Article in English | MEDLINE | ID: mdl-36505546

ABSTRACT

Background: Early identification of patients with poor prognosis may facilitate the provision of proper supportive treatment in advance and reduce mortality due to Coronavirus Disease 2019 (COVID-19). The present study estimates the recovery and mortality rates among in-house COVID-19 patients admitted to a tertiary care center and also determines any association between mortality and variables of interest. Methods and Material: This cross-sectional study was conducted in June to December 2021 among the COVID-19 patients admitted to the hospital based on their case sheets. A sample size of 1500 was calculated which was obtained by simple random sampling. Descriptive statistics were generated. Association between mortality and other variables was tested by using bivariate logistic regression and multiple logistic regression analysis. Results: The overall recovery rate was 80.1%. Vaccination status was significantly associated with mortality, with the AOR (95% CI) of getting both vaccine doses and a single dose being 0.18 (0.05-0.70) and 0.28 (0.15-0.55), respectively, when compared to the unvaccinated group. Also, patients who sought admission on their own were found to be having more chances of recovery compared to those who were referred from other health facilities. The risk of dying was found to be increased nearly 5-fold among those who used Non-Rebreathing machines. The use of Non-Invasive ventilation and Bain Circuit was significantly associated with a bad prognosis. None on the mechanical ventilation survived. Conclusions: The mortality rate of COVID-19 patients admitted to the tertiary care hospital was found to be one-fifth and the ICU-specific mortality rate was 83.6% while other factors like age and gender were not found to be associated with mortality. Among comorbidities, only liver diseases were found to be a significant determinant of mortality. Finally, patients who needed more flow rate of oxygen had a significant association with mortality.

2.
J Oral Biol Craniofac Res ; 12(1): 86-89, 2022.
Article in English | MEDLINE | ID: mdl-34815931

ABSTRACT

BACKGROUND: Any irregularity of the teeth or a mal-relationship of the dental arches is known as malocclusion. Among all the oro-facial problems, tooth decay is considered the most prevalent one followed by periodontal disease and dental malocclusion. Dental malocclusion is not a life-threatening condition. However, it is closely related to an individual's self-esteem and psychosocial wellbeing. The prevalence of malocclusion varies among different ethnic groups, age-groups, and gender. OBJECTIVES: This study was conducted with the objective to find out the prevalence of normal occlusal traits and to identify the proportion of different types of malocclusions among dental and nursing students of Seven North-Eastern states studying at a tertiary care Medical Institute. METHODS AND MATERIALS: This cross-sectional study included 432 students with a mean age of 21.42 years, who satisfied the inclusion criteria. Inclusion criteria consisted of the presence of all permanent teeth with or without third molars. The oral cavity was examined using a sterile mouth mirror and flashlight followed by evaluation of all the occlusal relationships in centric occlusion position (COP). COP was achieved by asking the participant to swallow, and then to bite on his or her teeth together. The occlusion traits were assessed as normal occlusion or malocclusion using the first permanent molars as described by E.H. Angle and deviation from line of occlusion. Descriptive statistics like mean and proportions were calculated. RESULTS: The prevalence of normal occlusal traits was 48.4%, and that of malocclusion was 51.6%. Class I malocclusion was most prevalent occlusal trait followed by Class II malocclusion and Class III malocclusion showed the least prevalence. CONCLUSIONS: Class I malocclusion was most prevalent followed by Class II malocclusion and Class III malocclusion showed the least prevalence.

3.
Indian J Public Health ; 64(2): 173-177, 2020.
Article in English | MEDLINE | ID: mdl-32584301

ABSTRACT

BACKGROUND: In India, the measles-rubella (MR) vaccination campaign was conducted with the purpose of vaccinating all children of 9 months-15 years of age with a single dose of MR vaccine. However, it encountered various challenges which may hamper with the coverage. OBJECTIVES: This study was conducted to evaluate the recently conducted MR campaign in Manipur pertaining to its coverage and factors for not vaccinating. METHODS: The cross-sectional study was conducted in Imphal East district of Manipur during May and June 2018 among 1551 children from two communities. The study tool was adapted from the rapid convenience monitoring tool of the WHO. Descriptive statistics were generated, and multivariable logistic regression analysis was performed with vaccination status as dependent with selected independent variables. RESULTS: Among the study children, 38% were in the age group of 5-10 years, males constituting 51.3%. Only two-third (68.8%) of the children had received the MR vaccine, coverage among Muslim children was 40.4% only, and 6.5% of the respondents reported some forms of adverse events following immunization. Children from the Meitei community were (odds ratio: 14.35, 95% confidence interval: 10.22-20.16) significantly more likely to receive the MR vaccination as compared to children belonging to the Muslim community (P = 0.001). CONCLUSION: Vaccination coverage of only 68.8% highlighted the need for increased sensitization and involvement of local and religious leaders in generating necessary awareness for improved coverage of the campaign.


Subject(s)
Immunization Programs/statistics & numerical data , Measles Vaccine/administration & dosage , Patient Acceptance of Health Care/ethnology , Rubella Vaccine/administration & dosage , Vaccination Coverage/statistics & numerical data , Adolescent , Child , Child, Preschool , Cross-Sectional Studies , Ethnicity/statistics & numerical data , Female , Humans , India , Infant , Logistic Models , Male , Measles/prevention & control , Rubella/prevention & control , Socioeconomic Factors
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