首页|西医常规治疗对慢性阻塞性肺疾病急性加重期患者治疗疗效影响因素分析

西医常规治疗对慢性阻塞性肺疾病急性加重期患者治疗疗效影响因素分析

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目的 探讨急性加重期慢性阻塞性肺疾病(AECOPD)患者西医常规治疗方案疗效的影响因素,为临床个体化治疗提供依据。方法 纳入 100 例AECOPD患者,均根据指南标准治疗方案予以治疗。经过3个月的随访观察,53例被评估为有效,纳入有效组;47例被评估为无显著效果,纳入无效组。比较两组患者在年龄、慢性阻塞性肺疾病(COPD)病程、呼吸频率、肺功能及合并恶性肿瘤等基本特征的差异,并收集治疗前实验室检验指标和血气分析数据进行对比。结果 两组在年龄、COPD病程、呼吸频率、第 1 秒用力肺活量/第 1 秒用力呼气容积占用力肺活量的比率(FEV1/FVC%)、合并恶性肿瘤、血红蛋白、淋巴细胞、C反应蛋白、丙氨酸氨基转移酶、乳酸及二氧化碳分压(PaCO2)等方面差异有统计学意义(P<0。05)。单因素Logistic回归分析显示,年龄较大、COPD病程延长、呼吸频率增加、FEV1/FVC%降低、合并恶性肿瘤、血红蛋白降低、淋巴细胞计数降低、C反应蛋白升高、丙氨酸氨基转移酶升高、乳酸升高及PaCO2 升高是AECOPD治疗效果不佳的危险因素。进一步多因素Logistic回归分析显示,年龄(P=0。007,OR=1。240)、FEV1/FVC%(P=0。014,OR=0。757)、血红蛋白(P=0。038,OR=0。954)、淋巴细胞计数(P=0。007,OR=0。488)以及乳酸(P=0。002,OR=9。964)是影响AECOPD治疗疗效的独立影响因素。受试者工作特征曲线(ROC)分析显示,年龄、FEV1/FVC%、血红蛋白、淋巴细胞计数及乳酸的ROC曲线下面积(AUC)分别为0。728[95%CI(0。627,0。829)]、0。681[95%CI(0。576,0。785)]、0。686[95%CI(0。582,0。790)]、0。629[95%CI(0。520,0。737)]及 0。823[95%CI(0。744,0。902)],联合 5 个危险因素预测AECOPD治疗效果不佳的AUC为 0。957[95%CI(0。923,0。991)]。结论 年龄、FEV1/FVC%、血红蛋白、淋巴细胞计数及乳酸是影响AECOPD患者治疗效果的独立危险因素。结合这些危险因素的综合分析能够更准确地预测AECOPD治疗效果,帮助临床医生及时调整治疗方案,提高治疗效果和预后。
Analysis of the factors influencing the efficacy of conventional Western medicine treatment on patients with acute exacerbation of COPD
Objective To explore the factors influencing the efficacy of conventional Western medicine treatment for patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD),and to provide a basis for individualized clinical treatment.Methods 100 patients with AECOPD were prospectively included in this study,and all of them were given standard treatment plans according to the guidelines.After 3 months of follow-up observation,53 cases were evaluated as effective and included in the effective group;47 cases were evaluated as having no significant effect and included in the ineffective group.Differences in basic characteristics between the two groups in terms of age,duration of COPD,respiratory rate,lung function and consolidated malignancy were compared,and pre-treatment laboratory test indexes and blood gas analysis data were collected for comparison.Results There were significant differences between the two groups in terms of age,duration of COPD,respiratory rate,ratio of forced expiratory volume in one second to forced vital capacity(FEV1/FVC%),consolidated malignancy,hemoglobin,lymphocytes,C-reactive protein,glutamic-pyruvic transaminase and PaCO2(P<0.05).Univariate logistic regression analysis showed that older age,prolonged COPD duration,increased respiratory rate,decreased FEV1/FVC%,consolidated malignancy,decreased hemoglobin,decreased lymphocyte count,increased C-reactive protein,increased glutamic-pyruvic transaminase,increased lactate,and increased PaCO2 were risk factors for poor treatment outcome in AECOPD.Further multifactorial logistic regression analysis showed that age(P=0.007,OR=1.240),FEV1/FVC%(P=0.014,OR=0.757),hemoglobin(P=0.038,OR=0.954),lymphocyte count(P=0.007,OR=0.488),and lactate(P=0.002 OR=9.964)were independent risk factors affecting the efficacy of AECOPD treatment.ROC curve analysis showed that the AUCs for age,FEV1/FVC%,hemoglobin,lymphocyte count and lactate were 0.728[95%CI(0.627,0.829)],0.681[95%CI(0.576,0.785)],0.686[95%CI(0.582,0.790)],0.629[95%CI(0.520,0.737)]and 0.823[95%CI(0.744,0.902)],respectively,and the combined AUC of the five risk factors for predicting a poor AECOPD treatment outcome was 0.957[95%CI(0.923,0.991).Conclusion Age,FEV1/FVC%,hemoglobin,lymphocyte count and lactate are independent risk factors that influence the treatment outcome of AECOPD patients.The comprehensive analysis of these risk factors can predict the treatment effect of AECOPD more accurately,help clinicians adjust the treatment plan in time,and improve the treatment effect and prognosis.

Chronic obstructive pulmonary diseaseConventional treatmentTherapeutic efficacyRisk factorsIndividualized therapyLogistic regression

高晓雪、李艳斐、刘保珠

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怀柔中医医院呼吸科(北京 101400)

慢性阻塞性肺疾病 常规治疗 治疗疗效 危险因素 个体化治疗 Logistic回归

北京中医医院怀柔医院科研项目

2020-MP03

2024

中国药师
国家药品监督管理局高级研修学院,武汉医药(集团)股份有限公司

中国药师

CSTPCD
影响因子:0.944
ISSN:1008-049X
年,卷(期):2024.27(7)