No abstract

In this article, we propose an improved class of estimators for a finite population variance in presence of the auxiliary information. The expressions of the bias and mean squared error of the proposed class of estimators are obtained up to the first order of approximation. The conditions under which the proposed class of estimators is more efficient than the other estimators have also been derived. It is observed from the simulation results that the proposed class of estimators is more efficient than the usual linear regression estimator.

Objective: To determine the impact of body mass index (BMI) on short-term outcomes like; renal failure, prolonged ventilation and mortality after CABG surgery. Methodology: This prospective comparative study was conducted at the Cardiac Surgery Department, Pervaiz Elahi Institute of Cardiology, Bahawalpur from February to December 2021. A total of 148 patients were enrolled after taking written consent and data was collected through predesign proforma sheets, including; clinical history, investigation and early outcomes in term of (renal failure, prolonged ventilation, and mortality). SPSS 23 was used to analyze data with statistically significant p-value < 0.05. Results: The findings showed that average age of research participants were 57.14 ± 3.07 (age range 30-73 years) and 121 (81.76%) male compared with 27(18.24%) female patients were enrolled with insignificant p-value of 0.730. In this study prolonged ventilation was found in 5(6.76%) obese and 8(10.81%) non-obese patients with insignificant p-value of 0.070. Renal Failure was found in 2 (2.70%) obese and 8 (10.81%) non-obese patients with significant p-value of 0.02 and mortality in 4(5.41%) obese and 2 (2.70%) non-obese patients with significant p-value of 0.0482. Conclusion: The results of the current investigation demonstrated that an obese BMI was a reliable indicator of morbidity or mortality following CABG.