1.上海中医药大学附属岳阳中西医结合医院,上海市虹口区甘河路110号,200437
2.上海市皮肤病医院临床研究与创新转化中心
yyyydongli@163.com
收稿:2021-11-18,
修回:2022-03-25,
纸质出版:2022-09-02
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倪瑞珺,黄宏丽,夏艳秋等.补肾活血方治疗早发性卵巢功能不全患者围绝经期症状的临床预测模型构建[J].中医杂志,2022,63(17):1654-1661.
NI Ruijun,HUANG Hongli,XIA Yanqiu,et al.Construction of Clinical Prediction Model for Perimenopausal Symptoms in Patients with Premature Ovarian Insufficiency Treated by Bushen Huoxue Formula (补肾活血方)[J].Journal of Traditional Chinese Medicine,2022,63(17):1654-1661.
倪瑞珺,黄宏丽,夏艳秋等.补肾活血方治疗早发性卵巢功能不全患者围绝经期症状的临床预测模型构建[J].中医杂志,2022,63(17):1654-1661. DOI: 10.13288/j.11-2166/r.2022.17.011.
NI Ruijun,HUANG Hongli,XIA Yanqiu,et al.Construction of Clinical Prediction Model for Perimenopausal Symptoms in Patients with Premature Ovarian Insufficiency Treated by Bushen Huoxue Formula (补肾活血方)[J].Journal of Traditional Chinese Medicine,2022,63(17):1654-1661. DOI: 10.13288/j.11-2166/r.2022.17.011.
目的
2
构建补肾活血方治疗早发性卵巢功能不全(POI)患者围绝经期症状的临床预测模型。
方法
2
回顾性收集经补肾活血方治疗6个月的伴有围绝经期症状的POI患者临床资料,包括年龄、生育史(妊娠史、分娩史、流产史)、月经史(初潮年龄、月经周期、经期、经量)、婚姻状况、确诊年龄、病程、血清生殖内分泌指标[卵泡刺激素(FSH)、黄体生成素(LH)、雌二醇(E2)、催乳素(PRL)、孕酮(P)、睾酮(T)、抗苗勒管激素(AMH)]、超声检查相关指标[卵巢动脉收缩期血流峰值流速(PSV)、血流阻力指数(RI)]、临床症状等。运用改良库珀曼(Kupperman)评分将患者分为治疗有效组和无效组。采用最小绝对收缩选择算子(LASSO)回归分析筛选影响补肾活血方对POI患者围绝经期症状治疗结局的因素,并根据筛选结果构建多因素Logistic回归模型及筛选独立预测因子。通过Hosmer-Lemeshow检验评价模型拟合优度,并采用受试者工作特征(ROC)曲线下面积(AUC)、校准曲线、临床决策曲线(DCA)分别评价模型的区分度、校准度及临床影响。
结果
2
在接受补肾活血方治疗的204例伴有围绝经期症状的POI患者中,有效组152例,无效组52例。LASSO回归分析筛选出婚姻状况、病程、经期、FSH、LH、AMH、卵巢动脉PSV共7个变量为影响疗效的因素。通过多因素Logistic回归分析,初步判断病程(2.44±1.61)年、FSH水平25~40 U/L、AMH水平(0.85±0.28)ng/ml、卵巢动脉PSV[8.50(7.00,10.38)]cm/s、经期延长、经期缩短为补肾活血方治疗POI患者围绝经期症状的独立影响因素。构建出补肾活血方治疗POI患者围绝经期症状的临床预测模型,模型的AUC为0.78;DCA分析得到预测概率为60%时,则每100例患者接受治疗后,约有50人可获得较好疗效;校准曲线预测概率为30%~85%时,模型预测曲线与实际观测曲线较为接近。
结论
2
构建出的临床预测模型提示补肾活血方适合病程长、基础卵巢功能较好、经期紊乱的POI伴围绝经期症状患者。此模型有助于调整患者就医预期及区别优势人群,可为补肾活血方精准化治疗POI围绝经期症状提供思路。
Objective
2
To construct a clinical prediction model for perimenopausal symptoms in patients with premature ovarian insufficiency (POI) treated by
Bushen Huoxue Formula
(补肾活血方).
Methods
2
A retrospective study was conducted to collect data of POI patients with perimenopausal symptoms who were treated by
Bushen Huoxue Formula
for six months, including age, reproductive history such as pregnancy, delivery and miscarriage history, menstrual history such as age at menarche, menstrual cycle, period and volume, marital status, age at diagnosis, course of disease, serum reproductive endocrine indicators such as follicle stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), prolactin (PRL), progesterone (P), testosterone (T) and anti-Müllerian hormone (AMH), ultrasound related indicators such as peak systolic blood flow velocity (PSV) of ovarian artery and blood flow resistance index (RI), and clinical symptoms. The patients were divided into effective and ineffective groups using the modified Kupperman score. Factors affecting the treatment outcomes of menopausal symptoms by
Bushen Huoxue Formula
in POI patients were screened out by using the least absolute shrinkage selection operator (LASSO) regression method, and were used to construct a logistic regression model and independent prediction variables. The goodness-of-fit of the model was evaluated by the Hosmer-Lemeshow test, and the area under curve (AUC) of the receiver operating characteristic (ROC), calibration curve, and clinical decision curve analysis (DCA) were used to eva-luate the discrimination, calibration and clinical impact of the model, respectively.
Results
2
Among 204 POI patients with perimenopausal symptoms treated by
Bushen Huoxue Formula
, there were 152 cases in the effective group and 52 cases in the ineffective groups. LASSO regression analysis found seven variables including marital status, course of disease, menstrual period, FSH, LH, AMH, and ovarian vascular PSV that affected the effect. From multivariate Logistic regression analysis, we preliminarily obtained that course of disease (2.44±1.61 years), FSH level (25-40 U/L), AMH level (0.85±0.28 ng/ml), PSV 8.50 (7.00, 10.38) cm/s, prolonged menstruation, and shortened menstruation were the independent variables that influenced the effect of
Bushen Huoxue Formula
on POI patients with perimenopausal symptoms. The AUC of the constructed predication model for perimenopausal symptoms in patients with POI treated by
Bushen Huoxue Formula
was 0.78. The prediction probability through DCA was 60%, that is, about 50 out of 100 patients who have received treatment can obtain better effect. When the prediction probability of the calibration curve was 30% to 85%, the prediction curve of the model was relatively close to the actual observed curve.
Conclusion
2
The constructed clinical prediction model suggests that
Bushen Huoxue Formula
is suitable for POI patients with perimenopausal symptoms who have a long course of disease, good basic ovarian function, and menstrual disorder. The prediction model can help adjusting patients' medical expectations, distinguish dominant people, and provide ideas for the precise treatment of perimenopausal symptoms in POI with
Bushen Huoxue Formula
.
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