RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재후보

      심장질환 환자의 임상성과에 대한 조기경고점수의 타당도 비교 = Comparison of Validity of Early Warning Scores for Clinical Outcomes in Patients with Heart Disease

      한글로보기

      https://www.riss.kr/link?id=A108735505

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      Purpose: This study was conducted to compare the validity of the Chonnam Modified Early Warning Score (C-MEWS) and other well-known tools used in hospitals to detect deterioration of patients’ condition early for various clinical outcomes, and to identify the most accurate predictive tool. Methods: This is a methodological study to identify and compare the accuracy of different tools using the electronic medical record data of 464 patients admitted to the cardiology department from September to December 2021. To compare the accuracy of C-MEWS, National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) were selected. We compared the sensitivity, specificity, positive and negative predictive value, and Youden index of these three tools for intensive care unit (ICU) admission, cardiopulmonary resuscitation (CPR) occurrence, in-hospital mortality, and any poor clinical outcomes, respectively. The area under the receiver operating characteristic curve (AUC) was calculated to find the best tool and cut-off for predicting any poor clinical outcome. Results: C-MEWS had Youden index of 0.55, 0.34, 0.54, and 0.60 for ICU admission, CPR occurrence, in-hospital mortality, and any poor clinical outcomes, respectively. The Youden index of NEWS for each clinical outcome was 0.69, 0.31, 0.57, and 0.70. The best tool for predicting any poor clinical outcomes was NEWS with AUC value of 0.899 (0.847 to 0.951), and the highest cut-off point was 7. Conclusion: C-MEWS had high sensitivity but low specificity and positive predictive value, and the tool that best predicted poor clinical outcomes was NEWS score of 7.
      번역하기

      Purpose: This study was conducted to compare the validity of the Chonnam Modified Early Warning Score (C-MEWS) and other well-known tools used in hospitals to detect deterioration of patients’ condition early for various clinical outcomes, and to id...

      Purpose: This study was conducted to compare the validity of the Chonnam Modified Early Warning Score (C-MEWS) and other well-known tools used in hospitals to detect deterioration of patients’ condition early for various clinical outcomes, and to identify the most accurate predictive tool. Methods: This is a methodological study to identify and compare the accuracy of different tools using the electronic medical record data of 464 patients admitted to the cardiology department from September to December 2021. To compare the accuracy of C-MEWS, National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) were selected. We compared the sensitivity, specificity, positive and negative predictive value, and Youden index of these three tools for intensive care unit (ICU) admission, cardiopulmonary resuscitation (CPR) occurrence, in-hospital mortality, and any poor clinical outcomes, respectively. The area under the receiver operating characteristic curve (AUC) was calculated to find the best tool and cut-off for predicting any poor clinical outcome. Results: C-MEWS had Youden index of 0.55, 0.34, 0.54, and 0.60 for ICU admission, CPR occurrence, in-hospital mortality, and any poor clinical outcomes, respectively. The Youden index of NEWS for each clinical outcome was 0.69, 0.31, 0.57, and 0.70. The best tool for predicting any poor clinical outcomes was NEWS with AUC value of 0.899 (0.847 to 0.951), and the highest cut-off point was 7. Conclusion: C-MEWS had high sensitivity but low specificity and positive predictive value, and the tool that best predicted poor clinical outcomes was NEWS score of 7.

      더보기

      참고문헌 (Reference)

      1 이주리 ; 최혜란, "일반병동 내 중증 패혈증 또는 패혈성 쇼크 환자의 중환자실 전동 예측에 대한 수정조기경고점수(Modified Early Warning Score)의 타당성" 한국간호과학회 44 (44): 219-227, 2014

      2 허예지 ; 문성미 ; 송은경 ; 김민영, "간호사의 스크리닝을 통한 조기대응팀 활성화가 비계획적 중환자실 입실에 미치는 영향" 한국성인간호학회 32 (32): 539-549, 2020

      3 Subbe CP, "Validation of a modified Early Warning Score in medical admissions" 94 (94): 521-526, 2001

      4 Lee JH, "The impact analysis of the rapid response team computerized screening and severity assessment tool on the prediction of cardiac arrest in general wards" Younsei University 2021

      5 Smith GB, "The ability of the National Early Warning Score(NEWS)to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death" 84 (84): 465-470, 2013

      6 Gao H, "Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward" 33 (33): 667-679, 2007

      7 Trevethan R, "Sensitivity, specificity, and predictive values : foundations, pliabilities, and pitfalls in research and practice" 5 : 307-, 2017

      8 Smith GB, "Review and performance evaluation of aggregate weighted 'track and trigger' systems" 77 (77): 170-179, 2008

      9 Jones DA, "Rapid-response teams" 365 (365): 139-146, 2011

      10 이보영 ; 홍상범, "Rapid response systems in Korea" 대한중환자의학회 34 (34): 108-116, 2019

      1 이주리 ; 최혜란, "일반병동 내 중증 패혈증 또는 패혈성 쇼크 환자의 중환자실 전동 예측에 대한 수정조기경고점수(Modified Early Warning Score)의 타당성" 한국간호과학회 44 (44): 219-227, 2014

      2 허예지 ; 문성미 ; 송은경 ; 김민영, "간호사의 스크리닝을 통한 조기대응팀 활성화가 비계획적 중환자실 입실에 미치는 영향" 한국성인간호학회 32 (32): 539-549, 2020

      3 Subbe CP, "Validation of a modified Early Warning Score in medical admissions" 94 (94): 521-526, 2001

      4 Lee JH, "The impact analysis of the rapid response team computerized screening and severity assessment tool on the prediction of cardiac arrest in general wards" Younsei University 2021

      5 Smith GB, "The ability of the National Early Warning Score(NEWS)to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death" 84 (84): 465-470, 2013

      6 Gao H, "Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward" 33 (33): 667-679, 2007

      7 Trevethan R, "Sensitivity, specificity, and predictive values : foundations, pliabilities, and pitfalls in research and practice" 5 : 307-, 2017

      8 Smith GB, "Review and performance evaluation of aggregate weighted 'track and trigger' systems" 77 (77): 170-179, 2008

      9 Jones DA, "Rapid-response teams" 365 (365): 139-146, 2011

      10 이보영 ; 홍상범, "Rapid response systems in Korea" 대한중환자의학회 34 (34): 108-116, 2019

      11 Mahmoodpoor A, "Prognostic value of National Early Warning Score and Modified Early Warning Score on intensive care unit readmission and mortality : a prospective observational study" 9 : 938005-, 2022

      12 Royal College of Physicians, "National Early Warning Score (NEWS): standardising the assessment of acute illness severity in the NHS. Report of a working party" Royal College of Physicians 2012

      13 Jo S, "Modified early warning score with rapid lactate level in critically ill medical patients : the ViEWS-L score" 30 (30): 123-129, 2013

      14 Burch VC, "Modified early warning score predicts the need for hospital admission and inhospital mortality" 25 (25): 674-678, 2008

      15 Mallett S, "Interpreting diagnostic accuracy studies for patient care" 345 : e3999-, 2012

      16 Devita MA, "Findings of the first consensus conference on medical emergency teams" 34 (34): 2463-2478, 2006

      17 Lee SB, "Emergency department triage early warning score(TREWS)predicts in-hospital mortality in the emergency department" 38 (38): 203-210, 2020

      18 Fu LH, "Development and validation of early warning score system : a systematic literature review" 105 : 103410-, 2020

      19 Morgan RJM, "An early warning scoring system for detecting developing critical illness" 8 : 100-, 1997

      더보기

      동일학술지(권/호) 다른 논문

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼