Fazmiya Mohamed Joonus Aynul, Sultana Arshiya, Heyat Md Belal Bin, Parveen Saba, Rahman Khaleequr, Akhtar Faijan, Khan Azmat Ali, Alanazi Amer M, Ahmed Zaheer, Díez Isabel de la Torre, Ballester Julién Brito, Saripalli Tirumala Santhosh Kumar
Department of Ilmul Qabalat wa Amraze Niswan, National Institute of Unani Medicine, Ministry of AYUSH, Bengaluru, India.
CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou, China.
Front Pharmacol. 2024 Feb 12;15:1331622. doi: 10.3389/fphar.2024.1331622. eCollection 2024.
This study aims to determine the efficacy of the (Lam.) Willd. and (L.) J. Presl. vaginal suppository in addressing heavy menstrual bleeding (HMB) and their impact on participants' health-related quality of life (HRQoL) analyzed using machine learning algorithms. A total of 62 participants were enrolled in a double-dummy, single-center study. They were randomly assigned to either the suppository group (SG), receiving a formulation prepared with gum () and camphor from () through two vaginal suppositories (each weighing 3,500 mg) for 7 days at bedtime along with oral placebo capsules, or the tranexamic group (TG), receiving oral tranexamic acid (500 mg) twice a day for 5 days and two placebo vaginal suppositories during menstruation at bedtime for three consecutive menstrual cycles. The primary outcome was the pictorial blood loss assessment chart (PBLAC) for HMB, and secondary outcomes included hemoglobin level and SF-36 HRQoL questionnaire scores. Additionally, machine learning algorithms such as k-nearest neighbor (KNN), AdaBoost (AB), naive Bayes (NB), and random forest (RF) classifiers were employed for analysis. In the SG and TG, the mean PBLAC score decreased from 635.322 ± 504.23 to 67.70 ± 22.37 and 512.93 ± 283.57 to 97.96 ± 39.25, respectively, at post-intervention (TF3), demonstrating a statistically significant difference ( < 0.001). A higher percentage of participants in the SG achieved normal menstrual blood loss compared to the TG (93.5% vs 74.2%). The SG showed a considerable improvement in total SF-36 scores (73.56%) compared to the TG (65.65%), with a statistically significant difference ( < 0.001). Additionally, no serious adverse events were reported in either group. Notably, machine learning algorithms, particularly AB and KNN, demonstrated the highest accuracy within cross-validation models for both primary and secondary outcomes. The and vaginal suppository is effective, cost-effective, and safe in controlling HMB. This botanical vaginal suppository provides a novel and innovative alternative to traditional interventions, demonstrating promise as an effective management approach for HMB.
本研究旨在确定[植物名称1](Lam.)Willd.和[植物名称2](L.)J. Presl阴道栓剂在治疗月经过多(HMB)方面的疗效及其对参与者健康相关生活质量(HRQoL)的影响,并使用机器学习算法进行分析。共有62名参与者纳入一项双盲、单中心研究。他们被随机分配到栓剂组(SG),接受一种用[植物名称1]树胶([具体植物名称1])和来自[植物名称2]的樟脑制备的制剂,通过两枚阴道栓剂(每枚重3500毫克),在睡前使用7天,同时服用口服安慰剂胶囊;或氨甲环酸组(TG),每天口服氨甲环酸(500毫克)两次,共5天,并在连续三个月经周期的月经期间睡前使用两枚安慰剂阴道栓剂。主要结局指标是用于评估HMB的图片式失血评估图(PBLAC),次要结局指标包括血红蛋白水平和SF - 36 HRQoL问卷评分。此外,还采用了诸如k近邻(KNN)、自适应增强(AB)、朴素贝叶斯(NB)和随机森林(RF)分类器等机器学习算法进行分析。在SG组和TG组中,干预后(TF3)时,PBLAC平均评分分别从635.322±504.23降至67.70±22.37以及从512.93±283.57降至97.96±39.25,差异具有统计学意义(P<0.001)。与TG组相比,SG组中达到正常月经量的参与者比例更高(93.5%对74.2%)。与TG组(65.65%)相比,SG组在SF - 36总分上有相当大的改善(73.56%),差异具有统计学意义(P<0.001)。此外,两组均未报告严重不良事件。值得注意的是,机器学习算法,尤其是AB和KNN,在主要和次要结局的交叉验证模型中显示出最高的准确性。[植物名称1]和[植物名称2]阴道栓剂在控制HMB方面有效、具有成本效益且安全。这种植物性阴道栓剂为传统干预措施提供了一种新颖且创新的替代方法,显示出作为HMB有效管理方法的前景。