Indonesian
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Annales d'Endocrinologie 2010-Feb

Polycystic ovary syndrome (PCOS).

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
D Dewailly
S Hieronimus
P Mirakian
J-N Hugues

Kata kunci

Abstrak

1. The Rotterdam classification should be used to define PCOS in the event of: menstrual cycle anomalies; amenorrhoea, oligomenorrhoea or long cycles, clinical and/or biochemical hyperandrogenism and ultrasound appearance of polycystic ovaries. 2. The presence of two of these three criteria is sufficient once all other diagnoses have been ruled out. 3. Diagnosis of hirsutism should not be based on the Ferriman-Gallway score. 4. The ultrasound definition of PCOS contains precise criteria that must be included in the report: presence of at least 12 follicles in each ovary measuring 2-9 mm in diameter, and/or increase in ovary size>10 ml. 5. Screening for elevated plasma LH no longer necessary. Testing for GnRH serves no purpose. 6. Routine screening for metabolic abnormalities should be carried out systematically based on weight, height and BMI, waist circumference, blood pressure and laboratory parameters: plasma glucose, triglycerides, HDL cholesterol. 7. In the case of obesity (BMI>30 kg/m(2)), oral glucose tolerance testing (OGTT) is recommended where fasting serum glucose is normal. 8. Clomiphene citrate (CC) remains the first-line therapy for ovulation induction. In patients with BMI>30, it should be preceded by improvement of metabolic status through appropriate lifestyle modifications.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge