Journal of Clinical Gynecology and Obstetrics, ISSN 1927-1271 print, 1927-128X online, Open Access
Article copyright, the authors; Journal compilation copyright, J Clin Gynecol Obstet and Elmer Press Inc
Journal website https://jcgo.elmerpub.com

Original Article

Volume 14, Number 4, December 2025, pages 176-183


Impact of Severe Male Factor Infertility on In Vitro Fertilization-Intracytoplasmic Sperm Injection Outcomes: A Retrospective Cohort Study

Figure

↓  Figure 1. Receiver operating characteristic (ROC) curve illustrating the predictive performance of severe male factor infertility status on pregnancy outcome in IVF-ICSI cycles. Area under curve (AUC) = 0.593. IVF-ICSI: in vitro fertilization-intracytoplasmic sperm injection.
Figure 1.

Tables

↓  Table 1. Distribution of Male Factor, Female Factor, and Source of Sperm Between Two Study Groups
 
Male factor
Study groups Severe OAT Azoospermia Absent P-value
Group 1 (n = 51) Observed 34 17 0 < 0.001
% within row 66.70% 33.30% 0.00%
Group 2 (n = 51) Observed 0 3 48
% within row 0.00% 5.90% 94.10%
Female factor
Study groups PCOS Tubal block Unexplained infertility Absent P-value
Group 1 (n = 51) Observed 11 0 0 40 < 0.001
% within row 21.6% 0.00% 0.00% 78.4%
Group 2 (n = 51) Observed 22 8 18 3
% within row 43.10% 15.70% 35.30% 5.90%
Sperm source
Study groups Ejaculate Surgically retrieved Donor P-value
P-values calculated using Chi-square test. Group 1: couples with severe male factor infertility undergoing IVF-ICSI with autologous sperm. Group 2: couples without male factor infertility (including those using donor sperm). OAT: oligoasthenoteratozoospermia; PCOS: polycystic ovary syndrome.
Group 1 (n = 51) Observed 33 18 0 < 0.001
% within row 64.70% 35.30% 0.00%
Group 2 (n = 51) Observed 48 0 3
% within row 94.10% 0.00% 5.90%

 

↓  Table 2. Distribution of Female Age, BMI, and Ovarian Reserve Markers Between Two Study Groups
 
Study groups N Missing Mean Median SD Shapiro-Wilk P Independent samples t-test
Test used P-value
AMH and AFC were non-normally distributed (Shapiro-Wilk test); thus, the Mann-Whitney U test was used. Baseline characteristics were similar between groups. AFC: antral follicle count; AMH: anti-Müllerian hormone; BMI: body mass index; SD: standard deviation.
Age (years)
  Group 1 51 0 30 30 3.37 0.082 Student’s t-test 0.135
  Group 2 51 0 30.94 31 2.91
BMI (kg/m2)
  Group 1 51 0 23.29 24 2.63 0.272 Student’s t-test 0.076
  Group 2 51 0 24.35 24 3.29
AMH (ng/mL)
  Group 1 48 3 4.31 4.1 2.47 < 0.001 Mann-Whitney U test 0.994
  Group 2 48 3 4.35 3.45 2.39
AFC
  Group 1 48 3 21.1 18 11.65 < 0.001 Mann-Whitney U test 0.1
  Group 2 48 3 23.9 21.5 10.49

 

↓  Table 3. Clinical Pregnancy Distribution Between Study Groups
 
Study groups Pregnancy P value
Yes No
Group 1
  Observed 35 16 0.107
  % within row 68.60% 31.40%
Group 2
  Observed 42 9
  % within row 82.40% 17.60%
Sperm source
  Ejaculate with male factor infertility (group 1)
    Observed 24 9 0.365
    % within row 72.70% 27.30%
  Ejaculate without male factor Infertility (group 2)
    Observed 39 9
    % within row 81.30% 18.80%
  Surgically retrieved sperms (group 1)
    Observed 11 6 0.219
    % within row 64.70% 35.30%
  Donor sperms (group 2)
    Observed 3 0
    % within row 100.00% 0.00%

 

↓  Table 4. Univariate Logistic Regression Model Assessing the Impact of Severe Male Factor Infertility (Group 1 vs. Group 2) on Clinical Pregnancy Outcomes Following IVF-ICSI
 
Estimates represent the log odds of “pregnancy = yes” vs. “pregnancy = no”. Group 1: couples with severe male factor infertility undergoing IVF-ICSI with autologous sperm. Group 2: couples without male factor infertility (including those using donor sperm).
Model fit measures
Model Deviance AIC R2McF
1 111 115 0.0231
Note: Models estimated using sample size of N = 102
Model coefficients - pregnancy
95% Confidence interval
Predictor Estimate SE Z P Odds ratio Lower Upper
Male factor
Group 1 - Group 2 -0.758 0.475 -1.59 0.111 0.469 0.185 1.19

 

↓  Table 5. Multivariate Logistic Regression Model Evaluating the Association Between Severe Male Factor Infertility and Clinical Pregnancy Following IVF-ICSI, Adjusting for Female Partner Characteristics (Age, BMI, AMH, and AFC)
 
Estimates represent the log odds of “pregnancy = yes” vs. “pregnancy = no”. Group 1: couples with severe male factor infertility undergoing IVF-ICSI with autologous sperm. Group 2: couples without male factor infertility (including those using donor sperm). AFC: antral follicle count; AMH: anti-Müllerian hormone; BMI: body mass index; SD: standard deviation.
Model fit measures
Model Deviance AIC R2McF
1 101 113 0.0470
Note. Models estimated using sample size of N = 96
Model coefficients - pregnancy
95% Confidence interval
Predictor Estimate SE Z P Odds ratio Lower Upper
Male factor
Group 1 - Group 2 -0.82047 0.5199 -1.578 0.115 0.440 0.15891 1.22
AFC 0.00636 0.0339 0.187 0.851 1.006 0.94163 1.08
AMH 0.14562 0.1649 0.883 0.377 1.157 0.83731 1.60
BMI -0.03696 0.0896 -0.413 0.680 0.964 0.80855 1.15
Age 0.05744 0.0847 0.678 0.497 1.059 0.89718 1.25