A novel risk score for in-hospital perioperative mortality of five major surgeries.

International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care
Hongxun JiaLihua Liu

Abstract

Risk-scoring tools for perioperative mortality adjustment are essential for inter-hospital quality comparisons, which are still lacking in China. Existing scores had significant disadvantages when applied in managerial practice. This study aimed to develop a simple risk score using highly accessible information that could appropriately adjust the perioperative mortality from major surgeries across tertiary Chinese public hospitals and provide a reference for other underdeveloped countries with the same need. A study cohort from 19 hospitals was randomly split into a development set and an internal validation set in the ratio of 7:3. Another cohort from six hospitals was used as an external validation set. All data were obtained from the military-hospital public services database of the National Engineering Laboratory of Application Technology in Medical Big Data. Patients aged above 18 years undergoing one of the five categories of major surgical procedures between 1 January 2010 and 31 December 2020 were identified. The multivariate logistic regression analysis was used to predict the risk of mortality and derive the risk score. The area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow goodness-o...Continue Reading

References

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Jan 27, 2007·Journal of the American College of Surgeons·Atul A GawandeMichael J Zinner
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Dec 23, 2017·World Journal of Surgery·Meghan PrinAnthony Charles

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