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Patients with Primary Immunodeficiencies in Pediatric Intensive Care Unit: Outcomes and Mortality-Related Risk Factors
Authors:Çağlar Ödek  Tanıl Kendirli  Figen Doğu  Ayhan Yaman  Göksel Vatansever  Funda Çipe  Şule Haskoloğlu  Can Ateş  Erdal İnce  Aydan İkincioğulları
Affiliation:1. Department of Pediatrics, Division of Pediatric Critical Care, Ankara University Faculty of Medicine, Ankara, Turkey
4. ?ocuk Yo?un Bak?m Bilim Dal?, Ankara üniversitesi T?p Fakültesi Cebeci Hastaneleri, 06100, Dikimevi, Ankara, Turkey
2. Department of Pediatrics, Division of Pediatric Immunology and Allergy, Ankara University Faculty of Medicine, Ankara, Turkey
3. Department of Biostatistics, Ankara University Faculty of Medicine, Ankara, Turkey
Abstract:

Purposes

The aims of this study were to review the frequency, characteristics, and the clinical course of primary immunodeficiency (PID) patients admitted to pediatric intensive care unit (PICU) and attempt to identify factors related with mortality that might predict a poor outcome.

Methods

We performed a retrospective review of children with PID aged 1 month to 18 years and admitted to PICU from January 2002 to January 2012 in our tertiary teaching children’s hospital.

Results

There were a total of 51 patients accounting for 71 admissions to the PICU. The most common diagnosis was severe combined immunodeficiency. Respiratory problems were the leading cause for admission. A total of 20 patients received hematopoietic stem cell transplantation. Immune reconstitution was achieved in 9 (45 %) patients and eight of them did survive. In all 56 % of all admission episodes resulted in survival. Risk factors for mortality included requirement of mechanical ventilation (P?P?=?.013), need for renal replacement therapy (P?P?P?=?.005), and length of PICU stay (P?Conclusions This is the first study regarding the outcome and mortality-related risk factors for PID patients requiring PICU admission. We suggest that PICU management is as important as early diagnosis and treatment for these patients. Prediction of those at risk for poorer outcome might be beneficial for accurate intensive care management and survival.
Keywords:
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