Additional file 1 of Machine learning-based clustering to identify the combined effect of the DNA fragmentation index and conventional semen parameters on in vitro fertilization outcomes

Autor: Peng, Tianwen, Liao, Chen, Ye, Xin, Chen, Zhicong, Li, Xiaomin, Lan, Yu, Fu, Xin, An, Geng
Rok vydání: 2023
DOI: 10.6084/m9.figshare.22617751
Popis: Additional file 1: Supplementary Fig. 1. Heat-map illustration of pairwise correlations of routine semen parameters and sperm DNA fragmentation index. Supplementary Fig. 2. The results of consensus clustering. Supplementary Fig. 3. Visualization of K-means clustering of 1258 infertile couples based on studied variables. Supplementary Fig. 4. Multivariable adjusted odds ratios for IVF outcomes according to levels of the sperm DFI and the studied semen routine parameters on a continuous scale. Supplementary Fig. 5. Multivariable adjusted odds ratios for miscarriage outcomes according to levels of the sperm DFI on a continuous scale. Supplementary Fig. 6. Receiver operating characteristic (ROC) curves for sperm DFI and IVF outcomes. Supplementary Table 1. Baseline characteristics of all participants in this study. Supplementary Table 2. Distributions of the routine semen parameters and sperm DNA fragmentation index after Min–Max scaling. Supplementary Table 3. P-values of overall and non-linear dose–response relationships of the sperm DFI and the studied routine semen parameters with IVF outcomes in adjustment of demographic characteristics and ovulation stimulation-related factors. Supplementary Table 4. The crude and multi-variate adjusted odds ratios (95% CIs) of the IVF outcomes in relation to levels of the sperm DFI and the studied semen routine parameters. Supplementary Table 5. Mediation analysis with IVF outcomes in association with clusters and fertilization rate.
Databáze: OpenAIRE