A Diagnostic Model to Improve the Predictability of Natural Pregnancy Potential in Patients with Oligoasthenospermia.
Med Sci Monit
; 26: e922316, 2020 Sep 05.
Article
en En
| MEDLINE
| ID: mdl-32890392
ABSTRACT
BACKGROUND Oligoasthenospermia is one of the major reasons for male infertility in clinical practice. Nevertheless, some patients with oligoasthenospermia show normal fertility. Currently, there is a lack of an effective method to distinguish patients with oligoasthenospermia showing normal fertility from those who lack natural fertility and should participate in in vitro fertilization and assisted reproduction. MATERIAL AND METHODS In this study, we collected semen and blood samples from 153 males of Shui nationality at reproductive age in Guizhou Province, southwest China. We measured the routine parameters for semen and some serological indicators. A clinical diagnosis model was then constructed to evaluate the fertility potential of oligoasthenospermia patients using a logistic stepwise regression method, which was then visualized with a nomogram. RESULTS Our results showed that this model could effectively assess the natural pregnancy potential of patients with oligoasthenospermia, and its sensitivity and specificity were superior to those of a traditional model that used only sperm motility and count to assess male fertility potential (area under the curve=0.7626 vs. 0.6677). Additionally, we evaluated the clinical net benefit for patients with oligoasthenospermia at different risk scores in our model using decision curve analysis. The results showed that the net benefit was obtained at scores ranging from 0.1 to 0.6. CONCLUSIONS This comprehensive clinical prediction model can be used to determine whether infertile oligoasthenospermia patients lack natural fertility.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Oligospermia
/
Nomogramas
/
Fertilidad
Tipo de estudio:
Diagnostic_studies
/
Observational_studies
/
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Adolescent
/
Adult
/
Humans
/
Male
/
Middle aged
Idioma:
En
Revista:
Med Sci Monit
Asunto de la revista:
MEDICINA
Año:
2020
Tipo del documento:
Article