Izhar Rubina, Husain Samia, Tahir Muhammad Ahmad, Ala Syed Hasan, Imtiaz Rahila, Husain Sonia, Talha Sara
Department of Gynaecology and Obstetrics, Aziz Medical Center, Karachi, Pakistan.
Department of Obstetrics and Gynaecology, Karachi Medical and Dental College, Karachi, Pakistan.
J Reprod Infertil. 2022 Apr-Jun;23(2):107-113. doi: 10.18502/jri.v23i2.8995.
The purpose of the current study was to evaluate the ability of three protocols to triage women presenting with pregnancy of unknown location (PUL).
Women with pregnancy of unknown location were recruited from Aziz Medical Centre from 1st August, 2018 to 31st July, 2020. The criterion of progesterone, human chorionic gonadotrophin (hCG) ratio, and M4 algorithm were used to predict risk of adverse pregnancy outcomes and classify women. Finally, 3 groups were established including ectopic pregnancy, failed pregnancy of unknown location, and intrauterine pregnancy (IUP). The primary outcome was to assign women to ectopic pregnancy group using these protocols. The secondary outcome was to compare the sensitivity and specificity of the three protocols relative to the final outcome.
Of the 288 women, 66 (22.9%) had ectopic pregnancy, 144 (50.0%) had intrauterine pregnancy, and 78 (27.1%) had failed pregnancy of unknown location. The criterion of progesterone had a sensitivity of 81.8%, specificity of 27%, negative predictive value (NPV) of 83.3%, and positive predictive value (PPV) of 25% for high risk result (ectopic pregnancy). The hCG ratio had sensitivity of 72%, specificity of 73%, NPV of 90%, and PPV of 44% for high risk result (ectopic pregnancy). However, model M4 had sensitivity of 86.4%, specificity of 91.9%, NPV of 95.8%, and PPV of 76% for high risk result.
Based on the findings of the study, it was revealed that prediction model of M4 had the highest sensitivity, specificity, negative predictive value and positive predictive value for high risk result (ectopic pregnancy).
本研究的目的是评估三种方案对诊治妊娠部位不明(PUL)女性的分诊能力。
2018年8月1日至2020年7月31日期间,从阿齐兹医疗中心招募妊娠部位不明的女性。使用孕酮、人绒毛膜促性腺激素(hCG)比值标准和M4算法来预测不良妊娠结局的风险并对女性进行分类。最后,建立了3组,包括异位妊娠、妊娠部位不明妊娠失败和宫内妊娠(IUP)。主要结局是使用这些方案将女性分配到异位妊娠组。次要结局是比较三种方案相对于最终结局的敏感性和特异性。
在288名女性中,66名(22.9%)患有异位妊娠,144名(50.0%)患有宫内妊娠,78名(27.1%)妊娠部位不明妊娠失败。孕酮标准对高风险结果(异位妊娠)的敏感性为81.8% , 特异性为27% ,阴性预测值(NPV)为83.3% ,阳性预测值(PPV)为25%。hCG比值对高风险结果(异位妊娠)的敏感性为72% ,特异性为73% ,NPV为90% ,PPV为44%。然而,M4模型对高风险结果的敏感性为86.4% ,特异性为91.9% ,NPV为95.8% ,PPV为76%。
基于该研究结果,揭示了M4预测模型对高风险结果(异位妊娠)具有最高的敏感性、特异性、阴性预测值和阳性预测值。