老年早期非小细胞肺癌采用经皮微波凝固疗法后预后不良的影响因素分析

目的 分析采用经皮微波凝固疗法(PMCT)预后不良的影响因素。方法选取2019年1月至2022年1月在江苏省徐州市第一人民医院治疗的老年早期非小细胞肺癌(NSCLC)患者85例，脱落7例，最终纳入78例患者行PMCT治疗，随访6个月，按照疗效分为预后良好组和预后不良组。收集并比较两组临床资料，包括性别、年龄、术前肺功能[肺活量(VC)、用力肺活量(FVC)、第一秒用力呼气量(FEV₁)、最大通气量(MVV)]、系统免疫炎症营养指数(SII)、肿瘤原发位置、病理分型、病理分期、病灶直径、分化程度、术后化疗的情况，通过多因素logistic回归分析明确PMCT治疗老年早期NSCLC预后不良的危险因素。结果 预后良好组69例，预后不良组9例。预后不良组年龄>70岁、SII>500、病理分期Ⅱ期、病灶直径>4 cm、分化程度低、术后未化疗的比重高于预后良好组，FEV1水平低于预后良好组，差异有统计学意义(P<0.05)。多因素logistic回归分析显示，年龄>70岁(OR=2.145,95%CI=1.143～4.025)、FEV_1...

Analysis of influencing factors of poor prognosis of senile early non-small cell lung cancer after percutaneous microwave coagulation therapy

Objective To analyze the influencing factors of poor prognosis after percutaneous microwave coagulation therapy (PMCT). Methods A total of 85 elderly patients with early non-small cell lung cancer (NSCLC) were selected from January 2019 to January 2022 in the First People’s Hospital of Xuzhou, Jiangsu Province, including seven cases of ablative cancer. A total of 78 patients were enrolled to receive PMCT treatment, followed up for six months, and divided into good prognosis group and poor prognosis group according to the efficacy. Clinical data of the two groups were collected and compared. including gender, age, preoperative lung function (vital capacity [VC], forced vital capacity [FVC], forced expiratory volume in the first second [FEV1], maximum large volume of air volume [MVV]), systemic immuno-inflammatory nutrition index (SII), tumor primary location, pathological classification, pathological stage, lesion diameter, degree of differentiation, and postoperative chemotherapy. Multivariate logistic regression analysis was used to identify the risk factors for poor prognosis of early senile NSCLC treated with PMCT. Results There were 69 cases with good prognosis and 9 cases with poor prognosis. The age of the poor prognosis group ＞70 years old, the SII ＞500, the pathological stage Ⅱ, the lesion diameter ＞4 cm, the low degree of differentiation, the proportion of postoperative chemotherapy were higher than that of the good prognosis group, and the level of FEV1 was lower than that of the good prognosis group, and the differences were statistically significant (P＜0.05). Multivariate logistic regression analysis showed that age ＞70 years old (OR=2.145, 95%CI=1.143-4.025), FEV1 ＜ 81.67 L(OR=2.592, 95%CI=1.263- 5.319), SII ＞500 (OR=2.168, 95%CI=1.250-3.760), pathological stage Ⅱ (OR=3.421, 95%CI=1.064-10.999), lesion diameter ＞ 4 cm (OR=2.538, 95%CI=1.056-6.100), low differentiation (OR=2.563, 95%CI=1.243-5.285), and no chemotherapy (OR=3.156, 95%CI=1.319-7.551) were the risk factors for poor prognosis after PMCT treatment (P＜0.05). Conclusion Age, FEV1, SII, pathological stage, lesion diameter, differentiation degree, and whether to receive chemotherapy after PMCT treatment are the factors affecting the poor prognosis of patients after treatment, which can be used to predict the prognosis of patients after treatment.