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目的 应用 Ｃｏｘ 比例风险模型，对影响女性肺癌治疗后生存的可能因素进行多因素分析，并确立治疗后生存预测模型。方法 对 １０７ 例女性原发肺癌初治患者长期随访，观察１５ 个指标与女性肺癌长期生存的关系，采用单因素和多因素分析方法进行分析。结果 多因素分析检验显示出５ 个明显影响女性肺癌预后的因素，其作用强度依次为吸烟、 Ｔ Ｎ Ｍ 分期、年龄、近期疗效和身体状况。根据病人的实际情况和特征，对 １０７ 例随访满５ 年的病人计算预后预测值，结果符合率和灵敏度分别为 ８８．８％ 和８５．７％ 。结论 影响女性肺癌治疗后生存率的主要因素是吸烟、 Ｔ Ｎ Ｍ 分期、年龄、近期疗效和身体一般状况；生存预测模型的预测精度符合临床实际要求
Objective To apply the Cox proportional hazards model to analyze the multifactorial factors that influence the survival of female lung cancer after treatment, and establish a post-treatment survival prediction model. Methods Long-term follow-up of 107 cases of primary lung cancer in women were followed up. The relationship between 15 indicators and long-term survival of women with lung cancer was observed. Univariate and multivariate analysis methods were used for analysis. Results Multivariate analysis showed that there were 5 factors that significantly affected the prognosis of women with lung cancer. Their strengths were in order of smoking, TN M staging, age, recent efficacy, and physical condition. According to the patient’s actual conditions and characteristics, the prognosis of the 107 patients who were followed up for 5 years was calculated. The rate of compliance and sensitivity were 88.8% and 85.7%, respectively. Conclusion The main factors affecting the survival rate of female lung cancer after treatment are smoking, TN M staging, age, short-term efficacy and general physical condition. The prediction accuracy of survival prediction model meets the actual clinical requirements.