Establishment of logistic regression model for predicting the risk of pulmonary complications in patients with gastric cancer after operation
WANG Fang1 ZHU Xiaosu2▲ WANG Lihua1
1.Department of General Surgery, the 904th Hospital of Joint Logistic Support Force of the Chinese People’s Liberation Army, Jiangsu Province, Wuxi 214000, China;
2.Operating Room, Wuxi No.5 People’s Hospital, Jiangsu Province, Wuxi 214000, China
Abstract：Objective To explore the establishment of risk warning model and related factors of postoperative pulmonary complications in patients with gastric cancer, and to provide reference for clinical prevention. Methods Sixty patients with gastric cancer complicated with lung complications after surgery in the 904th Hospital of Joint Logistic Support Force of the Chinese People’s Liberation Army from May 2018 to May 2020 were selected as the case group and 60 patients with no lung complications after surgery during the same period were selected as the control group. The risk warning model system of lung complications was established by univariate and multivariate logistic regression models to analyze the risk factors of postoperative lung complications in patients with gastric cancer. Results The rates of smoking, laparotomy, surgical bleeding ≥300 ml, number of lymph nodes dissected ≥25, preoperative blood protein ＜35 g/L, combined with chronic obstructive pulmonary disease, combined with diabetes, and postoperative anastomotic fistula in case group were higher than those in control group, and the differences were statistically significant (P＜0.05). Logistic regression analysis results showed that smoking, laparotomy, number of lymph nodes dissected ≥25, preoperative blood protein ＜35 g/L, combined with combined with chronic obstructive pulmonary disease, diabetes, combined with and postoperative anastomotic fistula were independent risk factors for postoperative pulmonary complications in patients with gastric cancer (OR＞1, P＜0.05). Conclusion By establishing the risk early warning model of postoperative pulmonary complications in patients with gastric cancer, relevant risk factors can be effectively found, and targeted intervention measures can be proposed for the risk groups in clinic.
王芳1 朱晓素2▲ 王丽华1. 胃癌术后患者肺部并发症风险预测logistic回归模型的建立[J]. 中国医药导报, 2023, 20(5): 116-119.
WANG Fang1 ZHU Xiaosu2▲ WANG Lihua1. Establishment of logistic regression model for predicting the risk of pulmonary complications in patients with gastric cancer after operation. 中国医药导报, 2023, 20(5): 116-119.
[1] Majmudar K，Golemi I，Tafur AJ，et al. Outcomes after venous thromboembolism in patients with gastric cancer：Analysis of the RIETE Registry [J]. Vasc Med，2020，25（3）：210-217.
[2] Foronda M. Front-line immunotherapy combinations for gastric cancer [J]. Nat Cancer，2021，2（12）：1286-1286.
[3] Gojayev A，Eren O，Mercan M，et al. Evaluation of Peroperative and Oncological Results in Laparoscopic Surgery of Gastric Cancer in Elderly Patients：Single-Center Study [J]. J Laparoendosc Adv Surg Tech A，2021，31（6）：657-664.
[4] Kanda M. Preoperative predictors of postoperative complications after gastric cancer resection [J]. Surg Today，2020，50（1）：3-11.
[5] Wei J，Zhang Y，Liu Y，et al. Construction and Validation of a Risk-Scoring Model that Preoperatively Predicts Lymph Node Metastasis in Early Gastric Cancer Patients [J]. Ann Surg Oncol，2021，28（11）：6665-6672.
[6] Lee Y，Yu J，Doumouras AG，et al. Enhanced recovery after surgery （ERAS） versus standard recovery for elective gastric cancer surgery：A meta-analysis of randomized controlled trials [J]. Surg Oncol，2020，32（8）：75-87.
[7] Wang Z，Liu J，Zhu Q，et al. Establishment and Verification of a Nomogram for Predicting the Risk of Lymph Node Metastasis in Early Gastric Cancer [J]. Rev Esp Enferm Dig，2021，113（6）：411-417.
[8] Cai F，Dong Y，Wang P，et al. Risk assessment of lymph node metastasis in early gastric cancer：Establishment and validation of a 7-point scoring model [J]. Surgery，2021，60（21）：e01088.
[9] 兰轲，周健，郭海华，等.基于TM&M分级系统肺癌胸腔镜肺主要手术并发症列线图预测模型的建立和验证[J].中国肺癌杂志，2021，24（12）：838-846.
[10] 邱洁净，唐雯桢，莫新少.术后肺部并发症风险预测模型的研究进展[J].护理研究，2020，34（22）：4011-4014.
[11] 徐策.腹腔镜与开腹胃癌根治术治疗早期胃癌的预后与生存率分析[J].中国现代普通外科进展，2019，22（6）：450-453.
[12] 晏蓉，李素云，詹昱新，等.经鼻肠内营养并发鼻黏膜压力性损伤风险预警分级标准及干预方案的构建[J].中华临床营养杂志，2020，28（6）：346-350.
[13] 高蕊，张秋艳.内镜下黏膜剥离术与内镜黏膜下切除术治疗早期胃癌的疗效比较[J].癌症进展，2022，20（1）：67-70.
[14] Mariani M，Sassano M，Boccia S. Metabolic syndrome and gastric cancer risk：a systematic review and meta-analysis [J]. Eur J Cancer Prev，2021，30（3）：239-250.
[15] 刘燕燕，张明军.预后营养指数对进展期胃癌患者术后并发症及短期生存率的影响分析[J].临床输血与检验，2022，24（2）：230-235.
[16] 许川，刘迪，金星，等.胸腔镜下肺部术后并发症发生率的预测模型构建[J].肿瘤学杂志，2020，26（7）：596-599.
[17] 曲宗阳，周淑珍，包杰，等.老年腹部大手术患者术后肺部并发症及相关因素分析[J].中华老年医学杂志，2020， 39（9）：1034-1037.
[18] 陈波，张科，于明帅，等.腹部手术患者术后肺部并发症风险预测模型构建[J].中华肺部疾病杂志（电子版），2021，14（4）：502-504.
[19] 杨志强，张伟辉.腹部手术预防术后肺部并发症的研究进展[J].中国普外基础与临床杂志，2021，28（10）：1390- 1395.
[20] Qiu L，Qu X，He J，et al. Predictive model for risk of gastric cancer using genetic variants from genome-wide association studies and high-evidence meta-analysis [J]. Cancer Med，2020，9（19）：7310-7316.
[21] Cao MM，Li H，Sun DQ，et al. Classifying risk level of gastric cancer：Evaluation of questionnaire-based prediction model [J]. Chin J Cancer Res，2020，32（5）：69-78.
[22] Srivastava OP，Hodson D. Childhood neglect：a clinical perspective and introducing the Graded Care Profile 2 [J]. Paediatr Child Health，2020，30（11）：378-382.
[23] Li Q，Xu X，Su D，et al. Long-term survival of an elderly patient with advanced gastric cancer after combination therapy a case report and literature review [J]. BMC Cancer，2019，19（1）：459-462.
[24] 陈碧贞，王美玲，周鹏程，等.激励式呼吸训练联合口腔去污染对老年胃癌患者手术后肺炎的影响[J].中国感染控制杂志，2020，19（11）：966-970.
[25] 毕岑，景丽伟，邹圣强，等.食管癌术后肺部并发症风险预测模型的研究进展[J].中国医药导报，2022，19（15）：48-52.
[26] 刘福全，常莹，张狄康，等.胃癌术后并发症发生情况及危险因素分析[J].中国当代医药，2021，28（34）：191-195.
[27] 钟鑫，朱薇，魏猛，等.胃癌根治术后肺部并发症相关危险因素分析及预测模型构建[J].腹腔镜外科杂志，2021， 26（12）：898-904.
京公网安备 11010502046598号