ABSTRACT
Peak expiratory flow rate (PEFR) measurement is the easiest and cheapest method to evaluate respiratory functions. So, the study was carried out to evaluate PEFR of healthy Nepalese adults and compare their values with healthy Indian counterparts to know whether Indian prediction equations for PEFR can be used for Nepalese adult population or not. One hundred twenty-three healthy, young, non smoker adult Indian (64: 28 Males, 36 Females) and Nepalese (59: 32 Males, 27 Females) medical students of 18 to 20 years of age participated in the study. The mean PEFR of Indian (male: 490.4 liter/min, female: 386.0 liter/min) and Nepalese (male: 485.9 liter/min, Female: 365.2 liter/min) young adults were found to have no significant differences. As there is no significant difference in the mean PEFR of Indian and Nepalese young adults, prediction equations made for Indian adults can be used to predict PEFR of Nepalese subjects. Therefore, an attempt has been made to formulate a regression equation from the combined Indian and Nepalese subjects. A stepwise, multiple, linear, regression analysis was performed for this purpose. The analysis showed that height is the best predictor for PEFR in the present study. The regression equation based on height for the combined Indian and Nepalese young adults is calculated as: PEFR = 5.687 x Height (cm) - 495.787. However, a stepwise, multiple, linear, regression equation with residual analysis for the best fit model was performed to formulate prediction equation for PEFR and this showed a change of the earlier regression equation to PEFR = 5.930 x Height (cm) - 536.131.
Subject(s)
Academies and Institutes , Adolescent , Adult , Age Factors , Cross-Sectional Studies , Female , Health Status , Humans , India , Linear Models , Male , Nepal , Peak Expiratory Flow Rate , Regression Analysis , Respiration , Respiratory Physiological Phenomena , Respiratory System , SpirometryABSTRACT
A study was conducted to evaluate the RNTCP in Habra TB, unit North 24 Parganas district, in February 2004. We collected both primary and secondary data, cross-checked registers and records. The TB unit was catering 23% more population; 54% of patients belonged to backward section. All patients received free drugs and free microscopy services; 90% received DOT during intensive phase and 67% during continuation phase; DOT time was inconvenient to 20% patients and 30% in attending DOT; 14% patients did not give three sputum samples at diagnosis; 28.3% centers lacked expected facilities; inconsistency in 27.8% drug boxes; records lacking in address verification (74.4%) and defaulter retrieval activity (47.2%). Delay in diagnosis and initiation of treatment was also prevailed.
Subject(s)
Adolescent , Adult , Antitubercular Agents/therapeutic use , Directly Observed Therapy , Female , Guideline Adherence/statistics & numerical data , Health Policy , Humans , India , Interviews as Topic , Male , Medical Audit , Patient Compliance/statistics & numerical data , Tuberculosis/diagnosisABSTRACT
Fifty unrelated Indian Gurkha of Nepalese origin were studied to analyse the HLA antigen profile and their relation with other populations. Haplotype B35-Cw4 occurred with highest incidence and significant positive linkage disequilibrium in Gurkhas. Haplotype A10-B8 which occurs with the highest frequency in north Indians was also observed to occur with significant positive linkage in Gurkhas. HLA profile of Gurkhas thus may be the result of long-term isolation and genetic drift.