Method for predicting risks of orthopedic operation of old people

Abstract

The invention provides a method for predicting risks of orthopedic operation of old people. The method comprises the following steps of primarily collecting physiology risk data and operation risk data of a patient from historical data; by studying complication or not and death or not in the result, performing dichotomy Logistics regression analysis on the collected data, and performing x2 inspection and t inspection analysis on single factors; screening the physiology risk factor and operation risk factor which obviously affect the complication generation rate and death rate; using the screened physiology risk factor and operation risk factor as variables, and obtaining a risk parameter predicting model by a multi-factor Logistics regression analysis predicting method; according to the predicting model, predicting the main dangerous factors related with the death and complication after operation, and the corresponding relative risk degree value. The method has the advantages that the method is used for predicting the complication generation rate and death rate of the old patient after orthopedic operation; the more accurate predicting model is realized, and the effect of predicting the orthopedic operation of the old patient is greatly improved.

Description

technical field [0001] The invention relates to a risk prediction method for orthopedic surgery in the elderly. Background technique [0002] For patients with fractures, surgery is the only effective treatment. However, the phenomenon of aging surgery patients has become very obvious in recent years. Elderly patients have decreased organ reserve function and often have heart, lung, digestive system chronic diseases, and diabetes and other related diseases. During the operation, it shows that the operation tolerance is poor, the risk is high, and the incidence of postoperative complications and mortality are high; the above factors have led to the complexity of surgical treatment measures for elderly orthopedic patients. For orthopedic surgeons, how to do a good job in the preoperative evaluation of elderly patients with hip fractures, especially those over 90 years old with serious underlying diseases, and patients with complex conditions and organ failure, and familiarize...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a risk prediction method for senile orthopedic surgery to solve the problems of untargeted and low accuracy in current senile orthopedic surgery risk prediction standards

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