Validation of SAPS3 admission score and its customization for use in Korean intensive care unit patients: A prospective multicentre study

Respirology

Volumn 18, Issue 6, 2013, Pages 989-995

  Lim, So Yeon ^a   Koh, Shin Ok ^b   Jeon, Kyeongman ^a   Na, Sungwon ^b   Lim, Chae Man ^c   Choi, Won Il ^d   Lee, Young Joo ^e   Kim, Seok Chan ^f   Chon, Gyu Rak ^g   Kim, Je Hyeong ^h   Kim, Jae Yeol ⁱ   Lim, Jaemin ^j   Rhee, Chin Kook ^f   Park, Sunghoon ^k   Kim, Ho Cheol ^l   Lee, Jin Hwa ^m   Lee, Ji Hyun ⁿ   Park, Jisook ^o   Koh, Younsuck ^c   Suh, Gee Young ^a  

^a Sungkyunkwan University School of Medicine   (South Korea)

^b Yonsei University College of Medicine   (South Korea)

^c University of Ulsan College of Medicine   (South Korea)

^d Keimyung University   (South Korea)

^e Ajou University School of Medicine   (South Korea)

^f The Catholic University of Korea   (South Korea)

^g Konkuk University School of Medicine   (South Korea)

^h Korea University College of Medicine   (South Korea)

ⁱ Chung Ang University College of Medicine   (South Korea)

^j University of Ulsan   (South Korea)

^k Hallym University College of Medicine   (China)

^l Gyeongsang National University School of Medicine   (South Korea)

^m Ewha Womans University School of Medicine   (South Korea)

ⁿ Bundang CHA Hospital   (South Korea)

^o Seoul Women University   (South Korea)

more..

Author keywords

calibration; discrimination; intensive care unit; severity of illness

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; CALIBRATION; COHORT ANALYSIS; CRITICALLY ILL PATIENT; FEMALE; HOSPITAL ADMISSION; HUMAN; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL ANALYSIS; MORTALITY; MULTICENTER STUDY; PREDICTION; PRIORITY JOURNAL; SIMPLIFIED ACUTE PHYSIOLOGY SCORE; SOUTH KOREA; VALIDATION STUDY;

CALIBRATION; DISCRIMINATION; INTENSIVE CARE UNIT; SEVERITY OF ILLNESS;

AGED; COHORT STUDIES; FEMALE; HOSPITAL MORTALITY; HOSPITALIZATION; HUMANS; INTENSIVE CARE; INTENSIVE CARE UNITS; KOREA; MALE; MIDDLE AGED; MODELS, STATISTICAL; PROGNOSIS; PROSPECTIVE STUDIES; SEVERITY OF ILLNESS INDEX;

EID: 84880811133     PISSN: 13237799     EISSN: 14401843     Source Type: Journal    
DOI: 10.1111/resp.12115     Document Type: Article

References (20)

1. Ridley S,. Severity of illness scoring systems and performance appraisal. Anaesthesia 1998; 53: 1185-1194.
2. Moreno R, Morais P,. Outcome prediction in intensive care: results of a prospective, multicentre, Portuguese study. Intensive Care Med. 1997; 23: 177-186.
3. Metnitz PG, Valentin A, Vesely H, et al. Prognostic performance and customization of the SAPS II: results of a multicenter Austrian study. Simplified Acute Physiology Score. Intensive Care Med. 1999; 25: 192-197.
4. Metnitz PG, Moreno RP, Almeida E, et al. SAPS 3-from evaluation of the patient to evaluation of the intensive care unit. Part 1: objectives, methods and cohort description. Intensive Care Med. 2005; 31: 1336-1344.
5. Khwannimit B, Bhurayanontachai R,. The performance and customization of SAPS 3 admission score in a Thai medical intensive care unit. Intensive Care Med. 2010; 36: 342-346.
6. Lim SY, Ham CR, Park SY, et al. Validation of the Simplified Acute Physiology Score 3 scoring system in a Korean intensive care unit. Yonsei Med. J. 2011; 52: 59-64.
7. Soares M, Salluh JI,. Validation of the SAPS 3 admission prognostic model in patients with cancer in need of intensive care. Intensive Care Med. 2006; 32: 1839-1844.
8. Ledoux D, Canivet JL, Preiser JC, et al. SAPS 3 admission score: an external validation in a general intensive care population. Intensive Care Med. 2008; 34: 1873-1877.
9. Metnitz B, Schaden E, Moreno R, et al. Austrian validation and customization of the SAPS 3 admission score. Intensive Care Med. 2009; 35: 616-622.
10. Poole D, Rossi C, Anghileri A, et al. External validation of the Simplified Acute Physiology Score (SAPS) 3 in a cohort of 28,357 patients from 147 Italian intensive care units. Intensive Care Med. 2009; 35: 1916-1924.
11. Lemeshow S, Hosmer DW, Jr,. A review of goodness of fit statistics for use in the development of logistic regression models. Am. J. Epidemiol. 1982; 115: 92-106.
12. Hanley JA, McNeil BJ,. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982; 143: 29-36.
13. Afessa B, Gajic O, Keegan MT,. Severity of illness and organ failure assessment in adult intensive care units. Crit. Care Clin. 2007; 23: 639-658.
14. Moreno RP, Metnitz PG, Almeida E, et al. SAPS 3-from evaluation of the patient to evaluation of the intensive care unit. Part 2: development of a prognostic model for hospital mortality at ICU admission. Intensive Care Med. 2005; 31: 1345-1355.
15. Yende S, Kammerer CM, Angus DC,. Genetics and proteomics: deciphering gene association studies in critical illness. Crit. Care 2006; 10: 227-233.
16. Kellum JA, Angus DC,. Genetic variation and risk of sepsis. Minerva Anestesiol. 2003; 69: 245-253.
17. Vincent JL,. Forgoing life support in western European intensive care units: the results of an ethical questionnaire. Crit. Care Med. 1999; 27: 1626-1633.
18. Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. The Acute Respiratory Distress Syndrome Network. N. Engl. J. Med. 2000; 342: 1301-1308.
19. Rivers E, Nguyen B, Havstad S, et al. Early goal-directed therapy in the treatment of severe sepsis and septic shock. N. Engl. J. Med. 2001; 345: 1368-1377.
20. Beck DH, Smith GB, Pappachan JV,. The effects of two methods for customising the original SAPS II model for intensive care patients from South England. Anaesthesia 2002; 57: 785-793.