急性阑尾炎围手术期临床资料与住院天数分析

Analysis Clinical Data and Length of Hospital Stay of Acute Appendicitis

摘要: 目的：通过分析临床资料对住院时间的影响，尝试总结如何缩短住院天数，使患者获益的同时，提高医疗资源利用率。方法：依据纳入和排除标准收集我院2013年1月至2020年1月收治的急性阑尾炎患者的临床资料共202例，对患者的年龄、性别、BMI、阑尾病变类型、手术方式、是否放置腹腔引流管、细菌培养药敏结果等方面进行单因素logistic回归分析，再将其中差异有统计学意义的相关因素行多因素logistic回归分析，研究其对住院天数的影响。结果：单因素logistic回归分析结果显示影响手术治疗急性阑尾炎住院天数的影响因素有年龄、手术方式和阑尾病变，多因素logistic回归分析结果显示年龄(OR = 2.569)、手术方式(OR = 2.225)和阑尾病变(OR = 3.341)是独立影响因素。结论：年龄 > 60岁、阑尾穿孔(或坏疽)和开腹手术是延长手术治疗急性阑尾炎住院天数的独立影响因素，对相关病人采取针对性措施，有望可以有效地控制住院天数。

Abstract: Objective: To analyze the impact of patients’ clinical data on the length of hospital stay, then try to summarize how to shorten the length of hospital stay, so as to benefit patients, as well as to improve the utilization of medical resources. Methods: The inclusion and exclusion criteria were applied to collect clinical data of 202 patients with acute appendicitis admitted to our hospital from January 2013 to January 2020. Perform single-factor logistic regression analysis on the patient's age, gender, BMI, appendix pathology types, surgical method, whether to place an abdominal drainage tube, and the results of bacterial culture and drug sensitivity. Then these relevant factors were included which are statistically significant in multi-factor logistic regression analysis to study their influence on the length of hospital stay. Results: The results of single-factor logistic regression analysis showed that the factors influencing the length of hospital stay of acute appendicitis treated by surgical therapy were age, surgical method, and appendix pathology types. The results of multivariate logistic regression analysis showed that age (OR = 2.569), surgical method (OR = 2.225) and appendix pathology types (OR = 3.341) are independent influencing factors. Conclusion: Old age (>60 years old), appendix perforation (or gangrene) and open appendectomy are independent influencing factors that affect the length of hospital stay of acute appendicitis treated by surgical therapy. By taking targeted measures to related patients, the length of hospital stay could hopefully be controlled effectively.