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Archives of Disease in Childhood 2010-Apr

Phenotypes of chronic fatigue syndrome in children and young people.

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پیوند در کلیپ بورد ذخیره می شود
Margaret May
Alan Emond
Esther Crawley

کلید واژه ها

خلاصه

OBJECTIVE

To investigate the heterogeneity of chronic fatigue syndrome (CFS/ME) in children and young people.

METHODS

Regional specialist CFS/ME service Patients Children and young people aged <19 years old.

METHODS

Exploratory factor analysis was performed on symptoms present at assessment in 333 children and young people with CFS/ME. Linear and logistic regression analysis of data from self-completed assessment forms was used to explore the associations between the retained factors and sex, age, length of illness, depression, anxiety and markers of severity (fatigue, physical function, pain and school attendance).

RESULTS

Three phenotypes were identified using factor analysis: muscoloskeletal (factor 1) had loadings on muscle and joint pain and hypersensitivity to touch, and was associated with worse fatigue (regression coefficient 0.47, 95% CI 0.25 to 0.68, p<0.001), physical function (regression coefficient -0.52, 95% CI -0.83 to -0.22, p=0.001) and pain. Factor 2 (migraine) loaded on noise and light hypersensitivity, headaches, nausea, abdominal pain and dizziness and was most strongly associated with physical function and pain. Sore throat phenotype (factor 3) had loadings on sore throat and tender lymph nodes and was not associated with fatigue or pain. There was no evidence that phenotypes were associated with age, length of illness or symptoms of depression (regression coefficient for association of depression with musculoskeletal pain -0.02, 95% CI -0.27 to 0.23, p=0.87). The migraine phenotype was associated with anxiety (0.40, 95% CI 0.06 to 0.74, p=0.02).

CONCLUSIONS

CFS/ME is heterogeneous in children with three phenotypes at presentation that are differentially associated with severity and are unlikely to be due to age or length of illness.

به صفحه فیس بوک ما بپیوندید

کاملترین پایگاه داده گیاهان دارویی با پشتیبانی علمی

  • به 55 زبان کار می کند
  • درمان های گیاهی با پشتوانه علم
  • شناسایی گیاهان توسط تصویر
  • نقشه GPS تعاملی - گیاهان را در مکان نشان دهید (به زودی)
  • انتشارات علمی مربوط به جستجوی خود را بخوانید
  • گیاهان دارویی را با توجه به اثرات آنها جستجو کنید
  • علایق خود را سازماندهی کنید و با تحقیقات اخبار ، آزمایشات بالینی و حق ثبت اختراع در جریان باشید

علامت یا بیماری را تایپ کنید و در مورد گیاهانی که ممکن است به شما کمک کنند ، بخوانید ، یک گیاه تایپ کنید و بیماری ها و علائمی را که در برابر آن استفاده می شود ، ببینید.
* کلیه اطلاعات براساس تحقیقات علمی منتشر شده است

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