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Evaluation of the relationship between the morphometric structure of the pituitary gland and fatigue in patients with multiple sclerosis
Elsevier BV 2023 Cilt 69
Scopus Eşleşmesi Bulundu
4
Atıf
69
Cilt
Özet
Background: The correlation between fatigue and disability in multiple sclerosis (MS) with the hypothalamus-pituitary-adrenal axis is known. This study aimed to investigate the relationship between the morphometric dimensions of the pituitary gland with fatigue and disability. Method: This research, designed as a prospective and case-control study, included 85 MS patients and 45 healthy controls. The disability was evaluated using the expanded disability rating scale (EDSS), while fatigue was determined using the fatigue severity scale (FSS) and the neurological fatigue index (NFI-MS). The morphometric structure of the pituitary gland was measured using a coronal, T2-weighted, turbo-spin-echo sequence of magnetic resonance imaging. Results: FSS and NFI-MS scores were higher in MS patients than in the control group (p = 0.001). Patients with a progressive and moderate-to-severe disability had a higher FSS score (p = 0.015; p = 0.002, respectively). A positive correlation was determined between disease duration, attack frequency, and EDSS and physical fatigue subscale score (p = 0.001; r = 0.383; 0.373; 0.545, respectively). The height and width of the pituitary gland were higher in MS patients (p = 0.021; p = 0.001, respectively). Pituitary gland height was higher in fatigued patients (p = 0.041). A low-positive correlation was determined between the number of attacks and the height of the pituitary gland (p = 0.027, r = 0.231). Conclusion: The difference in the dimensions of the pituitary gland in MS patients, especially in the fatigued group, supports the relationship of fatigue with morphometric features as well as the hypothalamus-pituitary-adrenal axis.
Web of Science Eşleşmesi Bulundu
2
WoS Atıf
69
Cilt
Article
Belge Türü
Kaynak: MULTIPLE SCLEROSIS AND RELATED DISORDERS
Anahtar Kelimeler (WoS)

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Scimago Dergi Bilgisi Otomatik ISSN Eşleştirmesi 2023 yılı verileri
Multiple Sclerosis and Related Disorders
Q1
SJR Quartile
0,990
SJR Skoru
70
H-Index
Kategoriler: Medicine (miscellaneous) (Q1) · Neurology (Q2) · Neurology (clinical) (Q2)
Alanlar: Medicine · Neuroscience
Ülke: Netherlands · Elsevier B.V.
Bu bilgiler makale yılına göre Scimago veritabanından ISSN eşleştirmesiyle otomatik getirilmektedir. Dergi sıralama verileri Scimago'nun ilgili yılı baz alınmaktadır.

Anahtar Kelimeler

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Makale Bilgileri

Dergi Elsevier BV
ISSN 2211-0348
Yıl 2023 / 1. ay
Cilt / Sayı 69
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks SCI-Expanded
Teşvik Puanı 2,03 · YÖKSİS Akademik Teşvik
Yayın Dili Türkçe
Kapsam Uluslararası
Toplam Yazar 4 kişi
Erişim Türü Basılı+Elektronik
Alan Sağlık Bilimleri Temel Alanı Nöroloji

YÖKSİS Yazar Kaydı

Yazar Adı EREN FETTAH, DEMİR AYŞEGÜL, Yılmaz Ecem Süeda, ÖZTÜRK ŞEREFNUR
YÖKSİS ID 6879981

Metrikler

Scopus Atıf 4
Havuz Atıfları 0
Teşvik Puanı 2,03
Yazar Sayısı 4