MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1007/s00115-024-01640-6

Медицинская библиотека · Der Nervenarzt · 2024

[Myasthenia gravis-Gender aspects and family planning].

Hoffmann Sarah, Verlohren Stefan, Herdick Meret

Аннотация на английскомСтатьяОбзорПеревод в очереди

Аннотация

BACKGROUND

There is evidence that gender-specific differences can influence the diagnostics, treatment and long-term disease course of myasthenia gravis (MG). In women the diagnosis is often made during childbearing age.

OBJECTIVE

Gender-specific differences in MG and relevant aspects in routine clinical practice are presented. In addition, current studies on family planning, pregnancy and childbirth in MG are highlighted and treatment recommendations are derived.

MATERIAL AND

METHODS

Narrative literature review.

RESULTS

In addition to sociodemographic data, gender-specific differences encompass clinical as well as paraclinical factors, such as disease severity and antibody status. With few exceptions pregnancy is possible with good maternal and neonatal outcome. During pregnancy and peripartum, children of MG patients should be closely monitored for early detection and treatment of potential syndromes caused by diaplacental transfer of maternal antibodies.

CONCLUSION

Gender-specific factors can influence the course of MG. Adequate medical counselling and multidisciplinary collaboration are essential for MG patients who wish to have children.

Для цитирования: Hoffmann Sarah, Verlohren Stefan, Herdick Meret. [Myasthenia gravis-Gender aspects and family planning].. Der Nervenarzt. 2024. DOI: 10.1007/s00115-024-01640-6.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.