Clinical parameters as predictors for sperm retrieval success in azoospermia: experience from Indonesia.

Azoospermia FSH LH Longest Testicular Axis Sperm Retrieval Testosterone Varicocele

Journal

F1000Research
ISSN: 2046-1402
Titre abrégé: F1000Res
Pays: England
ID NLM: 101594320

Informations de publication

Date de publication:
2023
Historique:
accepted: 20 11 2023
medline: 4 3 2024
pubmed: 4 3 2024
entrez: 4 3 2024
Statut: epublish

Résumé

Azoospermia is the most severe type of male infertility. This study aimed to identify useful clinical parameters to predict sperm retrieval success. This could assist clinicians in accurately diagnosing and treating patients based on the individual clinical parameters of patients. A retrospective cohort study was performed involving 517 patients with azoospermia who underwent sperm retrieval in Jakarta, Indonesia, between January 2010 and April 2023. Clinical evaluation and scrotal ultrasound, serum follicle stimulating hormone (FSH), luteinizing hormone (LH), and testosterone levels were evaluated before surgery. Multivariate analyses were conducted to determine clinical parameters that could predict overall sperm retrieval success. Further subgroup analysis was performed to determine the factors that the diagnosis of non-obstructive azoospermia (NOA) diagnosis and sperm retrieval success among patients with NOA. A total of 2,987 infertile men attended our clinic. Men with azoospermia (n=517) who met the inclusion criteria and did not fulfil any exclusion criteria were included in the study. The overall sperm retrieval success was 47.58%. Logistic regression revealed that FSH 7.76 mIU/mL (sensitivity: 60.1%, specificity: 63.3%, p<0.001); longest testicular axis length 3.89 cm (sensitivity: 33.6%, specificity: 41.6%); and varicocele (p<0.001) were independent factors for overall sperm retrieval. The FSH cutoff of 7.45 mIU/mL (sensitivity: 31.3%, specificity: 37.7%, p<0,001); longest testicular axis length 3.85 cm (sensitivity: 76.7%, specificity: 65.4%, p<0.001); and varicocele (p<0.001) were independent factors for NOA diagnosis. Varicocele was the only clinical parameter that significantly predicted the success of sperm retrieval in patients with NOA. FSH, LH, longest testicular axis, and varicocele are among the clinical parameters that are useful for predicting overall sperm retrieval success and NOA diagnosis. However, varicocele is the only clinical parameter that significantly predicts sperm retrieval success in patients with NOA. High-quality studies are required to assess the other predictors of sperm retrieval success.

Sections du résumé

Background UNASSIGNED
Azoospermia is the most severe type of male infertility. This study aimed to identify useful clinical parameters to predict sperm retrieval success. This could assist clinicians in accurately diagnosing and treating patients based on the individual clinical parameters of patients.
Methods UNASSIGNED
A retrospective cohort study was performed involving 517 patients with azoospermia who underwent sperm retrieval in Jakarta, Indonesia, between January 2010 and April 2023. Clinical evaluation and scrotal ultrasound, serum follicle stimulating hormone (FSH), luteinizing hormone (LH), and testosterone levels were evaluated before surgery. Multivariate analyses were conducted to determine clinical parameters that could predict overall sperm retrieval success. Further subgroup analysis was performed to determine the factors that the diagnosis of non-obstructive azoospermia (NOA) diagnosis and sperm retrieval success among patients with NOA.
Results UNASSIGNED
A total of 2,987 infertile men attended our clinic. Men with azoospermia (n=517) who met the inclusion criteria and did not fulfil any exclusion criteria were included in the study. The overall sperm retrieval success was 47.58%. Logistic regression revealed that FSH 7.76 mIU/mL (sensitivity: 60.1%, specificity: 63.3%, p<0.001); longest testicular axis length 3.89 cm (sensitivity: 33.6%, specificity: 41.6%); and varicocele (p<0.001) were independent factors for overall sperm retrieval. The FSH cutoff of 7.45 mIU/mL (sensitivity: 31.3%, specificity: 37.7%, p<0,001); longest testicular axis length 3.85 cm (sensitivity: 76.7%, specificity: 65.4%, p<0.001); and varicocele (p<0.001) were independent factors for NOA diagnosis. Varicocele was the only clinical parameter that significantly predicted the success of sperm retrieval in patients with NOA.
Conclusions UNASSIGNED
FSH, LH, longest testicular axis, and varicocele are among the clinical parameters that are useful for predicting overall sperm retrieval success and NOA diagnosis. However, varicocele is the only clinical parameter that significantly predicts sperm retrieval success in patients with NOA. High-quality studies are required to assess the other predictors of sperm retrieval success.

Identifiants

pubmed: 38434641
doi: 10.12688/f1000research.141969.1
pmc: PMC10905114
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1567

Informations de copyright

Copyright: © 2023 Rachman RI et al.

Déclaration de conflit d'intérêts

No competing interests were disclosed.

Auteurs

Rinaldo Indra Rachman (RI)

Department of Urology, Faculty of Medicine, Cipto Mangunkusumo Hospital, Universitas Indonesia, Depok, West Java, 10430, Indonesia.

Ghifari Nurullah (G)

Department of Urology, Faculty of Medicine, Cipto Mangunkusumo Hospital, Universitas Indonesia, Depok, West Java, 10430, Indonesia.

Widi Atmoko (W)

Department of Urology, Faculty of Medicine, Cipto Mangunkusumo Hospital, Universitas Indonesia, Depok, West Java, 10430, Indonesia.

Nur Rasyid (N)

Department of Urology, Faculty of Medicine, Cipto Mangunkusumo Hospital, Universitas Indonesia, Depok, West Java, 10430, Indonesia.

Sung Yong Cho (SY)

Department of Urology, College of Medicine, Seoul National University Hospital, Seoul National University, Gwanak-gu, Seoul, South Korea.

Ponco Birowo (P)

Department of Urology, Faculty of Medicine, Cipto Mangunkusumo Hospital, Universitas Indonesia, Depok, West Java, 10430, Indonesia.

Classifications MeSH