文章摘要
康慧,李兰,冷静.Nomogram预测模型在针灸治疗卵巢功能不全妊娠结局中的价值[J].安徽医药,2023,27(11):2249-2253.
Nomogram预测模型在针灸治疗卵巢功能不全妊娠结局中的价值
Value of Nomogram prediction model on pregnancy outcomes with ovarian insufficiency treated by acupuncture
  
DOI:10.3969/j.issn.1009-6469.2023.11.029
中文关键词: 原发性卵巢功能不全  列线图  最小绝对收缩和选择算子回归  Cox回归  针灸  妊娠结局  Nomogram预测模型
英文关键词: Primary ovarian insufficiency  Nomograms  Least absolute shrinkage and selection operator regression  Cox regression  Acupuncture  Pregnancy outcome  Nomogram prediction model
基金项目:
作者单位
康慧 湖北省第三人民医院康复科湖北武汉 430000 
李兰 湖北省第三人民医院康复科湖北武汉 430000 
冷静 湖北省第三人民医院康复科湖北武汉 430000 
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中文摘要:
      目的探讨基于最小绝对收缩和选择算子( LASSO)-Cox回归构建的 Nomogram预测模型在针灸治疗卵巢功能不全
英文摘要:
      Objective To investigate the value of Nomogram prediction model on pregnancy outcomes with ovarian insufficiency(POI) treated by acupuncture based on the least absolute shrinkage and selection operator (LASSO)-Cox model.Methods A total of 137 POI patients who received acupuncture and moxibustion in Hubei Third People′s Hospital from January 2019 to January 2021were gathered. Relevant data were collected, and the combined LASSO regression and Cox regression methods were carried out toscreen the main influencing factors of acupuncture on the pregnancy outcome of POI patients, R software (version R3.6.3) was carriedout to construct a Nomogram prediction model for predicting the pregnancy outcome of POI patients with acupuncture and moxibustion,and receiver operating characteristic (ROC) curve and calibration curve were carried out to evaluate the predictive performance of themodel.Results There were significant differences between the pregnant group and the non-pregnant group in terms of menstrual conditions, basal FSH level, ratio of FSH to LH, basal AFC, acupuncture times, needle retention time, and needle tools (P<0.05). The multivariate Cox regression model was constructed, and the results showed that menstrual conditions, basal FSH level, ratio of FSH to LH,basal AFC, and the number of acupuncture were the independent influencing factors of acupuncture on the pregnancy outcome of POIpatients. The ROC curve showed that the areas under the curve of the 6-month pregnancy probability and the 12-month pregnancy probability were 0.78 [95%CI: (0.69, 0.88) and 0.74 [95%CI: (0.63, 0.85)], respectively. The calibration curve showed that the calibrationcurve of the prediction model was very close to the standard curve.Conclusion The Nomogram prediction model based on 5 factors screened by LASSO-Cox model, including menstrual condition, basal FSH level, ratio of FSH to LH, basal AFC, and acupuncturetimes, can individually predict the pregnancy outcome of POI patients after acupuncture.
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