Abstract
<p class="Abstract">The purpose of the present study was to assess whether pre-operative and post-operative B-type natriuretic peptide (BNP) levels could be used as the predictor of post-operative complications in Chinese patients undergoing elective surgery under general anesthesia. A total of 80 adult patients were analyzed. Blood sample to measure BNP was collected from each patient before and after surgery to assess the relationship of pre-operative BNP with all possible clinical outcomes. Elevated BNP levels were associated with prolonged hospital stay and mortality. Our study results suggested that the high levels of BNP predict the prolong hospital stay, increased mortality, and increased usage of balloon pump. Also results suggested that the BNP is one of the key predictors of early post-operative outcomes in Chinese patients undergoing elective surgery under general anesthesia.</p>
Highlights
Prediction of early post-operative outcomes is one of the important concerns in current medical practice
The purpose of the present study was to assess whether pre- and post-operative B-type natriuretic peptide (BNP) levels could be used as predictor of post-operative complications in Chinese patients undergoing elective surgery under general anesthesia
We identified a total of the 100 medical records of patients during March 2015 to March 2016 who were recommended for elective surgery including cardiac surgery at the time of their consultation
Summary
Prediction of early post-operative outcomes is one of the important concerns in current medical practice. For the optimal care and success of medical treatment, prediction of outcome of diseases condition after treatment or surgery with some accuracy plays a vital role in achieving success of medical intervention. Prediction in outcome helps to improve healing potentials, and give chance to take decision about the future treatments and care intensity and to avoid ineffective diagnostic procedure. Clinical decision based on the patient’s condition has high impact on mortality and death among patients of critical illness. There are several methods used in critical care unit to predict the early outcome of patient condition, the simplified acute physiology score method is the most reliable tools to predict the outcome. The key limitation of this method includes: Time-consuming method, chances of bias conclusion if there are multiple variables and giving worst values during first 24 hours when the most critical decisions to be made. There is a need of very simple and effective tool which provides rapid and accurate results (Ang et al, 2009; Cavallazzi et al, 2008; Sanchez et al, 2010; Lancellotti et al, 2010; Shah et al, 2007; Ikonomidis et al, 2010)
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