DOAJ Open Access 2023

The predictive value of preoperative luteinizing hormone to follicle stimulating hormone ratio for ovulation abnormalities recovery after laparoscopic sleeve gastrectomy: A prospective cohort study

Fashun Liu Yue Li Zhenxiong Ye Xiaohua Jiang Ruichen Liu +2 lainnya

Abstrak

IntroductionObesity-related ovulation abnormalities (OA) affect fertility. LSG is the most frequent bariatric operation. However, no research has identified a reliable indicator for predicting OA recovery after LSG. The purpose of this research was to examine the prognostic usefulness of preoperative the luteinizing hormone (LH) to follicle-stimulating hormone (FSH) ratio (LFR).MethodsOur department conducted a prospective study from 2016 to 2021. Venous blood was typically tested 3 days before surgery to get the preoperative LFR. Descriptive data, preoperative and postoperative variables were also collected. Binary logistic regression related preoperative LFR with OA recovery. The receiver operating characteristic (ROC) curve evulated preoperative LFR’s predictive capability.ResultsA total of 157 women with a complete follow-up of one year were included. LFR was the only factor linked with OA (P < 0.001). AUC (area under the ROC curve) = 0.915, cutoff = 1.782, sensitivity = 0.93, and specificity = 0.82.DiscussionOverall, LSG has a favorable surgical result, with a %TWL of 66.082 ± 12.012 at 12 months postoperatively. Preoperative sexual hormone levels, as expressed by LFR, has the potential to predict the fate of OA following LSG at one year post-operatively.

Penulis (7)

F

Fashun Liu

Y

Yue Li

Z

Zhenxiong Ye

X

Xiaohua Jiang

R

Ruichen Liu

Z

Zhen Li

C

Chiye Ma

Format Sitasi

Liu, F., Li, Y., Ye, Z., Jiang, X., Liu, R., Li, Z. et al. (2023). The predictive value of preoperative luteinizing hormone to follicle stimulating hormone ratio for ovulation abnormalities recovery after laparoscopic sleeve gastrectomy: A prospective cohort study. https://doi.org/10.3389/fendo.2022.1043173

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Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.3389/fendo.2022.1043173
Akses
Open Access ✓