인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background Sepsis is a dysregulated host response to infection, which is considered a critical health problem with significant morbidity and mortality in pediatric age group. It continues to pose a significant burden in low- and middle-income countries. This study aimed to investigate the prevalence, characteristics, and outcome of severe sepsis in pediatric patients admitted to pediatric intensive care units (PICUs) at three of the largest tertiary care hospitals, Cairo, Egypt, to identify the predictors associated with morbidity and mortality in severe sepsis in a limited-resource setting. Methods This prospective cohort study included critically ill infants and children aged 29 days to 18 years admitted to the 3 PICUs with a confirmed diagnosis of sepsis during a 6-month period from April to October 2021. Detailed history, comprehensive clinical examination, laboratory and radiological investigations as well as management and outcome were recorded. Results A total of 432 patients were prospectively enrolled. The most common presentations were disturbed consciousness, respiratory distress, shock, and status epilepticus (61.6%, 56.5%, 38%, and 25% respectively). Community-acquired infections predominated (62%) over hospital-acquired infections (38%). Over half of the patients (56%) recovered without sequelae, while overall mortality was 17.6%. A pSOFA score > 10 was associated with the highest mortality. Impaired kidney function, elevated bilirubin, and high CRP levels were strongly correlated with sepsis related mortality. Conclusions Pediatric sepsis remains a major health problem with high mortality rate in limited-resource countries as Egypt. The current study aimed to set an epidemiological profile of severe sepsis in a big cohort Egyptian infants and children admitted to 3 PICUs. The resulting data can offer foundation for crafting predictive models targeting sepsis in pediatric age group, as well as for designing interventions to enhance outcome in limited resource countries.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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