Yonsei Med J.  2013 Mar;54(2):425-431. 10.3349/ymj.2013.54.2.425.

External Validation of the Acute Physiology and Chronic Health Evaluation II in Korean Intensive Care Units

Affiliations
  • 1Division of Pulmonary and Critical Care Medicine, Department of Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
  • 2Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. suhgy@skku.edu
  • 3Division of Pulmonary and Critical Care Medicine, Department of Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • 4Department of Anesthesiology and Pain Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • 5Anesthesiology and Critical Care Medicine, Konkuk University Hospital, Seoul, Korea.
  • 6Department of Anesthesiology and Pain Medicine, The Catholic University of Korea, St. Paul's Hospital, Seoul, Korea.
  • 7Department of Anesthesiology and Pain Medicine, Pusan National University Medical School, Busan, Korea.
  • 8Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Korea.
  • 9Department of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Gwangju, Korea.
  • 10School of Media, Seoul Women's University, Seoul, Korea.

Abstract

PURPOSE
This study was designed to validate the usefulness of the Acute Physiology and Chronic Health Evaluation (APACHE) II for predicting hospital mortality of critically ill Korean patients.
MATERIALS AND METHODS
We analyzed data on 826 patients who had been admitted to nine intensive care units and were included in the Fever and Antipyretics in Critical Illness Evaluation study cohort.
RESULTS
Among the patients enrolled, 62% (512/826) were medical and 38% (314/826) were surgical patients. The median APACHE II score was 17 (11 to 23 interquartile range), and the hospital mortality rate was 19.5%. Age, underlying diseases, medical patients, mechanical ventilation, and renal replacement therapy were independently associated with hospital mortality. The calibration of APACHE II was poor (H=57.54, p<0.0001; C=55.99, p<0.0001), and the discrimination was modest [area under the receiver operating characteristic (aROC)=0.729]. Calibration was poor for both medical and surgical patients (H=63.56, p<0.0001; C=73.83, p<0.0001, and H=33.92, p<0.0001; C=33.34, p=0.0001, respectively), while discrimination was poor for medical patients (aROC=0.651) and modest for surgical patients (aROC=0.704). At the predicted risk of 50%, APACHE II had a sensitivity of 36.6% and a specificity of 87.4% for hospital mortality.
CONCLUSION
For Koreans, the APACHE II exhibits poor calibration and modest discrimination for hospital mortality. Therefore, a new model is needed to accurately predict mortality in critically ill Korean patients.

Keyword

APACHE II; calibration; discrimination; intensive care units; illness severity

MeSH Terms

*APACHE
Aged
Cohort Studies
Critical Illness/mortality
Hospital Mortality
Humans
*Intensive Care Units
Middle Aged
Risk Factors

Cited by  1 articles

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Jae Woo Choi, Young Sun Park, Young Seok Lee, Yeon Hee Park, Chaeuk Chung, Dong Il Park, In Sun Kwon, Ju Sang Lee, Na Eun Min, Jeong Eun Park, Sang Hoon Yoo, Gyu Rak Chon, Young Hoon Sul, Jae Young Moon
Korean J Crit Care Med. 2017;32(3):275-283.    doi: 10.4266/kjccm.2016.00990.


Reference

1. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985. 13:818–829.
2. Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, Bastos PG, et al. The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest. 1991. 100:1619–1636.
3. Le Gall JR, Lemeshow S, Saulnier F. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. JAMA. 1993. 270:2957–2963.
Article
4. Metnitz PG, Moreno RP, Almeida E, Jordan B, Bauer P, Campos RA, 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.
Article
5. Moreno RP, Metnitz PG, Almeida E, Jordan B, Bauer P, Campos RA, 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.
Article
6. 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.
Article
7. Lee BH, Inui D, Suh GY, Kim JY, Kwon JY, Park J, et al. Association of body temperature and antipyretic treatments with mortality of critically ill patients with and without sepsis: multi-centered prospective observational study. Crit Care. 2012. 16:R33.
8. Hosmer DW, Lemeshow S. Confidence interval estimates of an index of quality performance based on logistic regression models. Stat Med. 1995. 14:2161–2172.
Article
9. Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982. 143:29–36.
Article
10. Steyerberg EW. Clinical prediction models: a practical approach to development, validation, and updating (statistics for biology and health). 2010. New York: Springer.
11. Glance LG, Osler T, Shinozaki T. Effect of varying the case mix on the standardized mortality ratio and W statistic: a simulation study. Chest. 2000. 117:1112–1117.
Article
12. Harrison DA, Brady AR, Parry GJ, Carpenter JR, Rowan K. Recalibration of risk prediction models in a large multicenter cohort of admissions to adult, general critical care units in the United Kingdom. Crit Care Med. 2006. 34:1378–1388.
Article
13. Timsit JF, Fosse JP, Troché G, De Lassence A, Alberti C, Garrouste-Orgeas M, et al. Accuracy of a composite score using daily SAPS II and LOD scores for predicting hospital mortality in ICU patients hospitalized for more than 72 h. Intensive Care Med. 2001. 27:1012–1021.
Article
14. Strand K, Flaatten H. Severity scoring in the ICU: a review. Acta Anaesthesiol Scand. 2008. 52:467–478.
Article
15. Capuzzo M, Valpondi V, Sgarbi A, Bortolazzi S, Pavoni V, Gilli G, et al. Validation of severity scoring systems SAPS II and APACHE II in a single-center population. Intensive Care Med. 2000. 26:1779–1785.
Article
16. Fedullo AJ, Swinburne AJ, Wahl GW, Bixby KR. APACHE II score and mortality in respiratory failure due to cardiogenic pulmonary edema. Crit Care Med. 1988. 16:1218–1221.
Article
17. Cerra FB, Negro F, Abrams J. APACHE II score does not predict multiple organ failure or mortality in postoperative surgical patients. Arch Surg. 1990. 125:519–522.
Article
18. Vincent JL, Bruzzi de Carvalho F. Severity of illness. Semin Respir Crit Care Med. 2010. 31:31–38.
Article
19. Lim SY, Ham CR, Park SY, Kim S, Park MR, Jeon K, 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.
Article
20. Greiner M, Pfeiffer D, Smith RD. Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests. Prev Vet Med. 2000. 45:23–41.
Article
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