Fibrinogen and cytokines as biomarkers of ovarian hyperstimulation syndrome in women undergoing assisted reproductive technology treatment: A prospective cohort study
Notice bibliographique
Résumé
Background Ovarian hyperstimulation syndrome is the most severe and life-threatening iatrogenic complication of controlled ovarian stimulation during assisted reproductive technology procedures. Its diagnosis and severity grading are complex. Despite its debilitating and sometimes fatal consequences, there is a paucity of data on early predictors of ovarian hyperstimulation syndrome. Objective This study aimed to identify early predictors of ovarian hyperstimulation syndrome among women undergoing controlled ovarian stimulation for assisted reproductive technology treatment. Methods This prospective cohort study included 46 women undergoing assisted reproductive technology treatment from 1 April to 30 November 2023 at Hallmark Medicals, Kumasi, Ghana. Participants were conveniently recruited and received a standard controlled ovarian stimulation protocol. A structured questionnaire was used to collect sociodemographic and clinical data. Approximately 10 mL of venous blood was collected for laboratory analysis of fibrinogen and cytokine markers as well as hepatic and renal function tests. Statistical analyses were performed using R version 4.3.2 and Statistical Package for the Social Sciences version 26.0. A p- value of <0.05 was considered significant. Results The incidence of ovarian hyperstimulation syndrome among the study cohort was 10.9%, with a higher prevalence (60%) among the 18–24 year age group ( p > 0.05) than among other age groups. Fibrinogen and cytokine levels did not differ significantly between the ovarian hyperstimulation syndrome and non-ovarian hyperstimulation syndrome groups; moreover, there was no significant difference in their levels measured before and after controlled ovarian stimulation ( p > 0.05). However, receiver operating characteristic analysis revealed that elevated baseline (pre-controlled ovarian stimulation) levels of fibrinogen (area under the curve = 0.567, p = 0.604), interleukin-8 (area under the curve = 0.628, p = 0.337), tumour necrosis factor-alpha (area under the curve = 0.615, p = 0.337) and interleukin-10 (area under the curve = 0.633, p = 0.334) were associated with an increased risk of ovarian hyperstimulation syndrome. Women with elevated baseline interleukin-10 (≥33.5 ng/L) were at higher risk of ovarian hyperstimulation syndrome, with a sensitivity of 80.0%, specificity of 71.8%, area under the curve of 63.3% and an accuracy of 72.7%. Conclusion Interleukin-10 may serve as an early predictor of ovarian hyperstimulation syndrome among women undergoing controlled ovarian stimulation, with high sensitivity, specificity and accuracy. Further large-scale studies are warranted to confirm these findings.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».