Exploring the relationships between clinical manifestations and sex hormones, thyroid hormones, and menstrual factors in female Parkinson’s disease patients
Notice bibliographique
Résumé
Background Parkinson’s disease (PD) affects both sexes, but there are notable differences in its clinical manifestations and management in women. Objective This study aimed to compare variations in sex and thyroid hormone levels and menstrual factors between postmenopausal women with and without motor complications (PWP-MC and PWP-nMC, respectively) and analyze their correlations with motor complications. Methods Ninety-five Postmenopausal Women with Parkinson’s Disease (PWP) provided data on age at menarche, age at menopause, menstrual cycle duration (interval between cycle starts (days)), total years of menstruation (menopausal age - age at menarche), thyroid disease history, and gynecological surgical history. Six sex hormones and seven thyroid function indicators were measured, followed by an analysis of the relationships among sex hormone levels, thyroid function, menstrual factors, clinical characteristics, and disease severity in PWP. The effects of sex hormones and menstrual factors on motor complications in PWP were also investigated. Results The results revealed several key findings: (1) PWP-MC exhibited lower serum prolactin levels than PWP-nMC (p < 0.05). (2) In PWP, serum estradiol levels were negatively correlated with Hamilton Anxiety Rating Scale (HAMA) scores (r = −0.208, p = 0.043). (3) There were no statistically significant differences in age at menarche, age at menopause, menstrual cycle duration, menstruation duration (Days of active bleeding per cycle), or total years of menstruation between PWP-MC and PWP-nMC (p > 0.05). (4) In PWP, age at menarche was negatively correlated with Mini-Mental State Examination (MMSE) scale scores (r = −0.264, p = 0.01) and Montreal Cognitive Assessment (MoCA) scale scores (r = −0.297, p = 0.004); total years of menstruation were positively correlated with MoCA scale scores (r = 0.278, p = 0.006); menstrual cycle duration was negatively correlated with Unified Parkinson’s Disease Rating Scale, Part III (UPDRS-III) scores (r = −0.246, p = 0.016) and Hoehn–Yahr (H-Y) stages (r = −0.236, p = 0.021); and menstruation duration was positively correlated with HAMA (r = 0.215, p = 0.036) and Non-Motor Symptoms Scale (NMSS) scores (r = 0.214, p = 0.037). (5) In PWP-MC, age at menopause and total years of menstruation were positively correlated with Hamilton Depression Rating Scale (HAMD) scores (r = 0.335, p = 0.043; r = 0.352, p = 0.033, respectively); menstruation duration was negatively correlated with UPDRS-III scores (r = −0.362, p = 0.028) and positively correlated with HAMD (r = 0.329, p = 0.047) and HAMA (r = 0.451, p = 0.005) scores; and menstruation duration was positively correlated with NMSS (r = 0.325, p = 0.050) scores. (6) In PWP-nMC, age at menarche was negatively correlated with MMSE (r = −0.332, p = 0.011) and MoCA (r = −0.296, p = 0.024) scores; total years of menstruation were negatively correlated with UPDRS-III (r = −0.287, p = 0.029) scores and positively correlated with MMSE (r = 0.316, p = 0.016) and MoCA (r = 0.337, p = 0.010) scores. (7) Compared with PWP-nMC, PWP-MC had lower serum triiodothyronine levels (p < 0.05) and higher serum thyroid-stimulating hormone levels (p < 0.05). (8) In PWP-MC, triiodothyronine levels were negatively correlated with UPDRS-III scores (r = −0.344, p = 0.037) and H-Y stages (r = −0.445, p = 0.005); free triiodothyronine (FT3) levels were negatively correlated with H-Y stages (r = −0.476, p = 0.003); and free thyroxine (FT4) levels were negatively correlated with UPDRS-III scores (r = −0.422, p = 0.009) and H-Y stages (r = −0.365, p = 0.026). Conclusion These findings suggest that the occurrence of motor complications in PWP may be correlated with prolactin, T3, and FT3 levels. Additionally, attention should be given to thyroid function and serum T3, T4, FT3, and FT4 levels in PWP, as lower levels may be associated with more severe motor symptoms, higher H-Y stages, and poorer cognitive function. Furthermore, older age at onset was inversely associated with motor complications in PWP, whereas a longer disease duration and higher NMSS score are risk factors.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».