Nomogram to predict the outcomes of intracytoplasmic sperm injection (ICSI)
Salem, H1; Abd El Latif, A2; Hosni, H1; Hashim, A1; Amer, M1; Kattan, M3
1: FACULTY OF MEDICINE CAIRO UNIVERSITY, Egypt; 2: FACULTY OF MEDICINE BENISUEF UNIVERSITY, Egypt; 3: CLEVLAND CLINIC FOUNDATION
Introduction and Objectives: Although many studies have shown that the success of ICSI depends on a number of male factors, female factors and laboratory procedures, no one has analyzed these variables collectively. We aimed to create a nomogram capable of predicting the outcome of ICSI based on all important available clinical and laboratory prognostic variables.
Methods: We prospectively analyzed 1112 ICSI cycles for 1112 infertile couples performed for male or female infertility.We used multiple factors to build the first nomogram to predict the probability of clinical pregnancy of ICSI. All ICSI procedures were performed in the same institute using the same technique and the same operators. 11 variables (male factors, female factor, and laboratory factors) were included and the final nomogram was internally validated with bootstrap analysis. Multiple logistic regression analysis was conducted. The final nomogram was built from the logistic model. The model discrimination was quantified by a concordance index (CI), which is equal to the non-parametric area under the Receiver operating characteristic (ROC) curve.
Results: The nomogram was found to have a concordance index of 0.652 and was well calibrated.
Conclusions: Based on our data, we constructed the first nomogram that is accurate to predict the probability of clinical pregnancy of ICSI. The nomogram still needs to be validated externally
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