Purpose:To study the epidemiology and clinical profile of victims of ocular trauma in an urban slum
population.Materials and Methods:This cross-sectional study, conducted on 500 families each in three randomly selected
urban slums in Delhi, collected demographic data for all members of these families, and clinical data for all those
who suffered ocular trauma at any time, that required medical attention. Data was managed on SPSS 11.0.Results:Of 6704 participants interviewed, 163 episodes of ocular trauma were reported by 158 participants
(prevalence = 2.4%, confidence interval = 2.0 to 2.7) Mean age at trauma was 24.2 years. The association
between the age of participants and the history of ocular trauma was significant (P < 0.001), when adjusted
for sex, education and occupation. Males were significantly more affected. Blunt trauma was the commonest mode of injury (41.7%).
Blindness resulted in 11.4% of injured eyes ( P = 0.028). Of 6704 participants, 1567 (23.4%) were
illiterate, and no association was seen between education status and trauma, when adjusted for sex and age at injury. A significant
association was noted between ocular trauma and workplace (Chi-square = 43.80, P < 0.001), and between blindness
and place (Chi-square = 9.98, P = 0.041) and source (Chi-square = 10.88, P = 0.028) of ocular
trauma. No association was found between visual outcome and the time interval between trauma and first consultation (Chi-square = 0.50,
P = 0.78), between receiving treatment and the best corrected visual acuity (Chi-square = 0.81, P
= 0.81), and between the person consulted and blinding ocular trauma (Chi-square = 1.88, P = 0.170).Conclusion:A significant burden of ocular trauma in the community requires that its prevention and early management
be a public health priority.
Introduction: Heart Failure (HF) is a chronic complex clinical condition that results from any structural or functional (systolic or diastolic) impairment of ventricular filling or ejection of blood. It has currently increased in prevalence with 64.34 million cases, accounting for 9.91 million years of healthy life lost due to disability (YLDs). Aim: This research was conducted to study the clinico-epidemiological profile of heart failure in geriatric patients. Materials & Methodology: The present hospital based study was conducted for a period of 18 months, among all patients above 60yrs of age presented to OPD or admitted in medicine department, NIMS, as a case of Heart failure. Follow up was done till the study end points. Results: Total of 100 patients were included in the study, who fulfilled the inclusion criteria. The median age of patients was found to be71.77±0.72 years, among which 58.6% are male. There was significant association of Heart failure with ejection fraction & Systolic HTN. Conclusion: We concluded that age, BMI, Heart Rate, economic status and serum creatinine are significant factor in predicting the incidence of heart failure in the geriatric patients.
Introduction: Heart Failure (HF) is a chronic complex clinical condition that results from any structural or functional (systolic or diastolic) impairment of ventricular filling or ejection of blood. It has currently increased in prevalence with 64.34 million cases, accounting for 9.91 million years of healthy life lost due to disability (YLDs). Aim: This research was conducted to study the clinico-epidemiological profile of heart failure in geriatric patients. Materials & Methodology: The present hospital based study was conducted for a period of 18 months, among all patients above 60yrs of age presented to OPD or admitted in medicine department, NIMS, as a case of Heart failure. Follow up was done till the study end points. Results: Total of 100 patients were included in the study, who fulfilled the inclusion criteria. The median age of patients was found to be71.77±0.72 years, among which 58.6% are male. There was significant association of Heart failure with ejection fraction & Systolic HTN. Conclusion: We concluded that age, BMI, Heart Rate, economic status and serum creatinine are significant factor in predicting the incidence of heart failure in the geriatric patients.
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