Egyptian evidence-based consensus on clinical practice recommendations for the management of Kawasaki disease

Autor: Yasser El Miedany, Samia Salah, Hala M. Lotfy, Mohammed Hassan Abu-Zaid, Sally S. Mohamed, Sheren Esam Maher, Maha El Gaafary, Hala Abdulhady, Yomna Farag, Mervat Eissa, Ahmed Radwan, Basma M. Medhat, Dalia M. E. El Mikkawy, Waleed A. Hassan, Doaa Mosad Mosa, Ghada El Deriny, Mohamed Mortada, Naglaa S. Osman, Nermeen Ahmed Fouad, Youmna Ahmed Amer, Samah Ismail Nasef, Hend Abushady, Salwa Galal, Eiman Abd El-Latif, Dina Maria, Ahmed H. Shabana, Samar AbdAlhamed Tabra
Rok vydání: 2023
Předmět:
Zdroj: Egyptian Rheumatology and Rehabilitation. 50
ISSN: 2090-3235
DOI: 10.1186/s43166-023-00180-2
Popis: Background Kawasaki disease (KD) is an acute, self-limited febrile disease of unidentified cause that mostly affects children less than 5 years of age. This work aimed to provide an appropriate Egyptian evidence-based consensus on clinical practice recommendations for the management of Kawasaki disease. The main objective of this study, which employed the Delphi method, was to reach a consensus among experts on a treat-to-target management approach for KD. Results The expert panel was confined to an online survey (n=26), and all the expert completed the three rounds. At the conclusion of round 3, a total of 17 recommendation items were gathered, which were divided into two sections. The range of respondents (ranks 7–9) who agreed with the recommendations was 92.3 to 100%. All 17 clinical standards identified by the scientific committee were written in the same way. There have been algorithms proposed for managing various KD conditions. Conclusion The developed evidence-based consensus recommendations for the diagnosis and management of KD represent an up-to-date document that focuses on clinical management questions which are generally posed to health care professionals involved in the management of KD. This guideline was developed considering experience with and availability of treatment and diagnostic options in Egypt.
Databáze: OpenAIRE
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