메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
대한감염학회 Infection and Chemotherapy Infection and Chemotherapy 제52권 제1호
발행연도
2020.1
수록면
31 - 38 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Sepsis is one of the significant causes of morbidity and mortality. The burden caused by sepsis has continued to increase in recent years in the Korea, highlighting the urgent need for the implementation of strategies to improve sepsis treatment outcomes. We therefore designed a web-based sepsis registry system (“Korean Registry for Improving Sepsis Survival” [KISS]) protocol to be used in hospitals in the Korea for evaluation of the epidemiology and clinical characteristics of patients with sepsis, via an analysis of outcome predictors. The inclusion criteria of this registry are as follows: adult patients ≥18 years admitted to the participating hospitals who are diagnosed with sepsis or septic shock. Demographic and clinical information data of the patients will be collected from hospital medical records and will be recorded in a case report form, which will be entered into a web-based data management system. The analysis of the collected data will be performed as follows: (1) epidemiological and clinical characteristics of sepsis and septic shock, (2) application of sepsis bundles and antibiotic stewardship, and (3) audit and feedback. In conclusion, we aim to build the comprehensive web-based sepsis registry in the Korea through a nation-wide network of participating hospitals. Information collected and analyzed through the KISS can be used for further improvements in the clinical management of sepsis. Furthermore, the KISS will facilitate research leading to the formulation of public health policies regarding sepsis bundle and antibiotic stewardship strategies in the Korea.

목차

등록된 정보가 없습니다.

참고문헌 (22)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0