Objective To investigate risk factors for surgical site infection after total hip arthroplasty based on exhaustive CHAID decision tree and logistic regression model, so as to provide the basis for the development of control strategy of surgical site infection (SSI). Methods A retrospective analysis was performed on the patients undergoing total hip arthroplasty from January 2012 to December 2018 in Wenzhou People's Hospital. Twenty four patients with surgical site infection after total hip arthroplasty were selected as the case group, and 576 patients who did not have surgical site infection after total hip arthroplasty in the same period were selected as the control group. Logistic regression and decision tree model were used to determine influencing factors for surgical site infection. Results Four risk factors were found by logistic regression model and decision tree model, including the operation time no less than 180 min, the amount of intraoperative bleeding more than 200 mL, using at least 2 kinds of antibiotics, and serum albumin less than 35 `g/L. The results of CHAID decision tree analysis showed that the operation time was the main factor affecting the SSI. Conclusion In order to provide evidence and reference for prevention and control measure of surgical site infection, it is essential to combine these two different methods to describe influencing factors of surgical site infection from different aspects.
Objective To investigate the status quo and influencing factors of the benefit finding in coronary heart disease patients. Methods Totally 189 coronary heart disease patients were investigated with general data questionnaires and benefit finding scale. Descriptive statistics, correlation analysis and multiple linear regressions were used to explore the influencing factors of benefit finding in coronary heart disease patients.Results The benefit finding score of coronary heart disease patients was (59.25±7.50). Multivariate analysis showed that age, family income, and comorbidities were influencing factors of self-benefit finding in coronary heart disease patients. Conclusion The relevant influencing factors of self-benefit finding in coronary heart disease patients can help the nursing staff to take corresponding measures to improve the level of self-benefit finding, and can make patients have sufficient confidence to cope with the disease, find hope in adversity, and ultimately improve the quality of life.