Effect of tripod position on objective parameters of respiratory function in stable chronic obstructive pulmonary disease.

Objective. To examine changes in respiratory dynamics in patients with chronic obstructive pulmonary disease (COPD) sitting leaning forward with hands supported on the knees (tripod position), a posture frequently assumed by patients in respiratory distress. Methods. Spirometry, maximal inspiratory and expiratory pressures (MIP and MEP) generated at the mouth, and diaphragmatic excursion during tidal and vital capacity maneuver breathing measured by B-mode ultrasonography were studied in 13 patients with stable COPD in sitting, supine and tripod positions. Results. Mean±SD age of patients was 52.2±6.8 years. Median disease duration was three years. There was no statistically significant difference in spirometry for sitting, supine and tripod positions (FEV1: 1.11±0.4L, 1.14±0.5L and 1.11±0.4L; p=0.99), respectively, (FEV1/FVC: 49.2±11.0, 53.7±8.5 and 48.5±11.3, p=0.37), mouth pressures (MIP: 102.9±28.9, 90.6±29.1 and 99.2±32.9 cm H2O, p=0.61 and MEP: 100.8±29.9, 100.4±34.4 and 90.6±32.6 cmH2O, p=0.74) and diaphragmatic movements during tidal (16.1±5.9, 20.1±6.8 and 16.6±6.2 mm, p=0.22) and forced breathing (33.9±11.0, 43.1±19.6 and 37.4±17.1 mm, p=0.35). Conclusion. Commonly measured indices of respiratory function were not different in the tripod compared to sitting and supine positions.

A case-control study on insulin resistance, metabolic co-variates & prediction score in non-alcoholic fatty liver disease.

Background & objectives: Asian Indians have a high prevalence of insulin resistance and the metabolic syndrome. Currently, non-alcoholic fatty liver disease (NAFLD) is considered to be an integral part of the metabolic syndrome with insulin resistance as a central pathogenic factor. We studied anthropometric parameters, insulin resistance and metabolic co-variates in subjects with NAFLD as compared to those without NAFLD, and also developed a prediction score for NAFLD. Methods: Thirty nine subjects with NAFLD and 82 controls were selected for the study after ultrasonography of 121 consecutive apparently healthy subjects. Anthropometric profile [body mass index (BMI), waist circumference (WC) etc,], lipid profile, hepatic aminotransferases, fasting blood glucose (FBG), insulin were recorded and value of homeostasis model assessment of insulin resistance (HOMA-IR) was analysed. Step-wise logistic regression analysis and area under the receiver operator curve (aROC) were analysed to arrive at a prediction score. Results: Overall, prevalence of NAFLD was 32.2 per cent and prevalence of metabolic syndrome was seen in 41 per cent among cases and 19.5 per cent in controls (P<0.01). Subjects with NAFLD had significantly higher values of BMI, WC, hip circumference, FBG, fasting insulin, total cholesterol and serum triglycerides. Step-wise logistic regression analysis showed odds ratio (OR) and 95 per cent confidence interval (CI) for BMI [ 4.3 (1.6, 11.3)], FBG [5.5 (1.5, 19.8)] and fasting insulin [ 2.4 (1.0, 5.8)] as independent predictors of NAFLD. The prediction score for NAFLD was; 1 (fasting insulin) +1.6 (BMI) + 1.9 (FBG) (sensitivity of 84.6%, specificity of 51.2% and aROC 76%). Interpretation & conclusion: In this study, presence of NAFLD indicated close relationship with multiple features of metabolic syndrome. The prediction score developed could be used as a screening tool to predict NAFLD among Asian Indians in north India.

Distribution and cutoff points of fasting insulin in Asian Indian adolescents and their association with metabolic syndrome.

AIM: To evaluate the levels and appropriate cutoff points of fasting insulin, and their association with the metabolic syndrome (MS) in Asian Indian adolescents. METHODS: This cross-sectional, population based study included 948 (527 males & 421 females) adolescent subjects aged 14-19 years selected randomly from New Delhi, India. Cutoff points of fasting insulin were defined using Receiver Operating Characteristics curve analysis against overweight, abdominal obesity and high subscapular skinfold thickness. The MS was defined according to NCEP, ATP III and IDF criteria using age-, gender- and ethnicity-specific cutoff points. RESULTS: Fasting insulin levels peaked at 16 y and reduced subsequently in both genders. The derived cutoff points for fasting insulin (pmol/L) were: 14-15 y- 128.5 and 164.8; 16-17 y- 126.1 and 152.8; 18-19 y- 121.2 and 162.4 in males and females, respectively. Prevalence of fasting hyperinsulinemia (39.1%) and MS (NCEP 2.2%, IDF 1.5%) was highest in age group 16-17 years. CONCLUSION: The data from this first study describing the distribution and cutoff points of fasting insulin in Asian Indian adolescents may be helpful for detection of and application of primary prevention strategies for fasting hyperinsulinemia and the metabolic syndrome in this population.

Derivation of a prognostic equation to predict in-hospital mortality and requirement of invasive mechanical ventilation in patients with acute exacerbation of chronic obstructive pulmonary disease.

OBJECTIVE: Predicting in-hospital mortality and formulating a scoring system derived from predictors of mortality may aid prognostication. METHODS: One hundred and fifty-one consecutive patients admitted with a diagnosis of acute exacerbation of chronic obstructive pulmonary disease (AECOPD) were followed to discharge or death in hospital stay. Secondary variables studied were duration of hospital stay, and need for and duration of mechanical ventilation (MV). RESULTS: Mean (SD) age of patients was 60.5 (11.4) years; 65.6% were mechanically ventilated, and 25.2% died in hospital. Independent predictors of mortality at admission were serum creatinine (odds ratio [OR] 2.1, 95% Confidence intervals [CI] 1.03 to 4.30; p = 0.04), and serum sodium (OR 0.94, 95% CI 0.90 to 0.99; p = 0.03). An equation derived [Score = 8+ (0.74 x creatinine) = (0.015 x sodium)] to predict mortality, had an area under receiver operating characteristic (ROC) curve of 73%, with a cut-off of 6.74 having sensitivity, specificity, positive and negative predictive values for predicting death of 71%, 64%, 40% and 87%, respectively. Glasgow coma scale (GCS), partial pressure of oxygen in arterial blood (PaO2) and partial pressure of carbon dioxide in arterial blood (PaCO2) at admission independently predicted need for invasive ventilation. An equation derived [Score = 2.36+(0.02 x PaO2)+(0.05 x PaCO2)-(0.47 x GCS)] to predict need for MV, had an area under ROC curve of 85%, with a cut-off of 0.54 having sensitivity, specificity, positive and negative predictive values for predicting need for MV of 82%, 81%, 89% and 70%, respectively. CONCLUSIONS: Serum creatinine and sodium at admission are independent predictors of mortality for patients admitted with AECOPD. The equation derived from these two variables is a simple and useful method for predicting outcome.