Skip to main content
Log in

Ein neuer Score für die tägliche Schweregradklassifizierung auf herzchirurgischen Intensivstationen

A new score for daily risk stratification in ICU cardiac surgical patients

  • ORIGINALARBEIT
  • Published:
Zeitschrift für Herz-, Thorax- und Gefäßchirurgie Aims and scope

Zusammenfassung

Einleitung:

Das Ziel dieser Studie war die Entwicklung eines spezifischen Schweregradklassifizierungssystems für die Beurteilung und Vorhersage von Organfunktionsstörungen und Überleben bei herzchirurgischen Intensivpatienten.

Methoden:

Hierzu wurden konsekutiv alle erwachsenen Patienten nach einem herzchirurgischen Eingriff unter Einsatz der Herzlungenmaschine über einen Zeitraum von 3 Jahren in die Studie aufgenommen. Im Konstruktionsset erfolgte die Auswahl der Variablen mit Hilfe der Patienten, die mindestens 24 Stunden auf der Intensivstation verbrachten. Die Ergebnisse wurden dann in zwei Validierungssets mit allen Intensivpatienten überprüft. Die Qualität des Scores wurde mit dem Hosmer-Lemeshow-Test (HL) sowie der ROC-Analyse beurteilt, und mit dem APACHE-II- und dem MODS-Score verglichen.

Ergebnisse:

Insgesamt wurden 3230 Patienten über einen Zeitraum von 3 Jahren auf unserer Intensivstation aufgenommen. Die HL-Werte für den neuen Score waren 5,8 (APACHE-II: 11,3; MODS: 9,7) für das Konstruktionsset, 7,2 (APACHE-II: 8,0; MODS: 4,5) für das Validierungsset I und 5,9 für das Validierungsset II. Die Fläche unter der ROC-Kurve war 0,91 (APACHE-II: 0,86; MODS: 0,84) für den neuen Score im Konstruktionsset, 0,88 (APACHE-II: 0,84; MODS: 0,84) in dem Validierungsset I, und 0,92 in dem Validierungsset II.

Schlussfolgerung:

Der neue CASUS (Cardiac Surgery Score) zeigt für herzchirurgische Intensivpatienten eine exzellente Kalibrierung und Diskriminierung bezüglich der 30-Tage-Letalität. Die Variablen des CASUS sind einfach, reproduzierbar und werden routinemäßig in herzchirurgischen Intensivstationen erfasst. Der CASUS könnte als Expertensystem für das Diagnostizieren von Organfunktionsstörungen, der Entscheidungsfindung, der Ressourcenauswertung und Vorhersage der Letalität für herzchirurgische Intensivpatienten dienen.

Summary

Background:

The purpose of this study was to develop a specific postoperative score in intensive care unit (ICU) cardiac surgical patients for assessment of organ dysfunction and survival.

Methods:

This prospective study consisted of all consecutive adult patients admitted after cardiac surgery to our ICU over a period of 3 years. Evaluation of variables was performed using the first year patients who stayed in ICU for at least 24 hours. The reproducibility was then tested in two validation sets using all patients. Performance was assessed with the Hosmer-Leme-show (χ 2-statistics) goodness-of-fit test and receiver operating characteristic (ROC) curves and compared with the APACHE II and MODS.

Results:

A total of 3230 patients were admitted to the ICU after cardiac surgery. Mean χ 2-values for the new score were 5.8 (APACHE II, 11.3; MODS, 9.7) for the construction set, 7.2 (APACHE II, 8.0; MODS, 4.5) for the validation set I and 5.9 for the validation set II. The mean area under the ROC curve was 0.91 (APACHE II, 0.86; MODS, 0.84) for the new score in the construction set, 0.88 (APACHE II, 0.84; MODS, 0.84) in the validation set I and 0.92 in the validation set II.

Conclusion:

Our new ten-variable risk index performs very well, with calibration and discrimination very high, better than general severity systems, and it is an appropriate tool for daily risk stratification in ICU cardiac surgery patients. Thus, it may serve as an Expert System for diagnosing organ failure, decision making, resource evaluation, and predicting mortality in ICU cardiac surgical patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Knaus WA, Draper EA, Wagner DP, Zimmerman JE (1985) APACHE II: a severity of disease classification system. Crit Care Med 13(10):818–829

    CAS  PubMed  Google Scholar 

  2. Marshall JC, Cook DJ, Christou NV, Bernard GR, Sprung CL, Sibbald WJ (1995) Multiple organ dysfunction score: a reliable descriptor of a complex clinical outcome. Crit Care Med 23(10):1638–1652

    Article  CAS  PubMed  Google Scholar 

  3. Ryan TA, Rady MY, Bashour CA, Leventhal M, Lytle B, Starr NJ (1997) Predictors of outcome in cardiac surgical patients with prolonged intensive care stay. Chest 112(4):1035–1042

    Google Scholar 

  4. Turner JS, Morgan CJ, Thakrar B, Pepper JR (1995) Difficulties in predicting outcome in cardiac surgery patients. Crit Care Med 23(11):1843–1850

    Google Scholar 

  5. Keene AR, Cullen DJ (1983) Therapeutic Intervention Scoring System: update 1983. Crit Care Med 11(1):1–3

    Google Scholar 

  6. Wagner DP, Knaus WA, Harrell FE, Zimmerman JE, Watts C (1994) Daily prognostic estimates for critically ill adults in intensive care units: results from a prospective, multicenter, inception cohort analysis. Crit Care Med 22(9):1359–1372

    Google Scholar 

  7. Hosmer DW, Hosmer T, Le Cessie S, Lemeshow S (1997) A comparison of goodness-of-fit tests for the logistic regression model. Stat Med 16(9):965–980

    Google Scholar 

  8. Hanley JA, Hajian-Tilaki KO (1997) Sampling variability of nonparametric estimates of the areas under receiver operating characteristic curves: an update. Acad Radiol 4(1):49–58

    Google Scholar 

  9. Marik PE, Varon J (1999) Severity scoring and outcome assessment. Computerized predictive models and scoring systems. Crit Care Clin 15(3):633–646, viii

    Google Scholar 

  10. Bosman RJ, Oudemane van Straaten HM, Zandstra DF (1998) The use of intensive care information systems alters outcome prediction. Intensive Care Med 24(9):953–958

    Google Scholar 

  11. Turner JS, Mudaliar YM, Chang RW, Morgan CJ (1991) Acute physiology and chronic health evaluation (APACHE II) scoring in a cardiothoracic intensive care unit. Crit Care Med 19(10):1266–1269

    Google Scholar 

  12. Rady MY, Ryan T (1999) Perioperative predictors of extubation failure and the effect on clinical outcome after cardiac surgery. Crit Care Med 27(2):340–347

    Google Scholar 

  13. Kollef MH, Wragge T, Pasque C (1995) Determinants of mortality and multiorgan dysfunction in cardiac surgery patients requiring prolonged mechanical ventilation. Chest 107(5):1395–1401

    Google Scholar 

  14. Becker RB, Zimmerman JE, Knaus WA, Wagner DP, Seneff MG, Draper EA, Higgins TL, Estafanous FG, Loop FD (1995) The use of APACHE III to evaluate ICU length of stay, resource use, and mortality after coronary artery by-pass surgery. J Cardiovasc Surg (Torino) 36(1):1–11

    Google Scholar 

  15. Rady MY, Ryan T, Starr NJ (1998) Perioperative determinants of morbidity and mortality in elderly patients undergoing cardiac surgery. Crit Care Med 26(2):225–235

    Google Scholar 

  16. Iezzoni LI (1997) The risks of risk adjustment. Jama 278(19):1600–1607

    Google Scholar 

  17. Pilz G, Fraunberger P, Appel R, Kreuzer E, Werdan K, Walli A, Seidel D (1996) Early prediction of outcome in score-identified, postcardiac surgical patients at high risk for sepsis, using soluble tumor necrosis factor receptor-p55 concentrations. Crit Care Med 24(4):596–600

    Google Scholar 

  18. Martinez-Alario J, Tuesta ID, Plasencia E, Santana M, Mora ML (1999) Mortality prediction in cardiac surgery patients: comparative performance of Parsonnet and general severity systems. Circulation 99(18):2378–2382

    Google Scholar 

  19. Lazar HL, Fitzgerald C, Gross S, Heeren T, Aldea GS, Shemin RJ (1995) Determinants of length of stay after coronary artery bypass graft surgery. Circulation 92(9 Suppl):II20–II24

    Google Scholar 

  20. Rady MY, Ryan T, Starr NJ (1997) Early onset of acute pulmonary dysfunction after cardiovascular surgery: risk factors and clinical outcome. Crit Care Med 25(11):1831–1839

    Google Scholar 

  21. Davies AR, Bellomo R, Raman JS, Gutteridge GA, Buxton BF (2001) High lactate predicts the failure of intraaortic balloon pumping after cardiac surgery. Ann Thorac Surg 71(5):1415–1420

    Google Scholar 

  22. Higgins TL, Starr NJ (1991) Risk stratification and outcome assessment of the adult cardiac surgical patient. Semin Thorac Cardiovasc Surg 3(1):88–94

    Google Scholar 

  23. Ferraris VA, Ferraris SP, Singh A (1998) Operative outcome and hospital cost. J Thorac Cardiovasc Surg 115(3):593–602; discussion 602–603

    Google Scholar 

  24. Cook R, Cook D, Tilley J, Lee K, Marshall J (2001) Multiple organ dysfunction: baseline and serial component scores. Crit Care Med 29(11):2046–2050

    Google Scholar 

  25. Jacobs S, Zuleika M, Mphansa T (1999) The Multiple Organ Dysfunction Score as a descriptor of patient outcome in septic shock compared with two other scoring systems. Crit Care Med 27(4):741–744

    Article  CAS  PubMed  Google Scholar 

  26. Vincent JL, Ferreira F, Moreno R (2000) Scoring systems for assessing organ dysfunction and survival. Crit Care Clin 16(2):353–366

    Google Scholar 

  27. Higgins TL, Estafanous FG, Loop FD, Beck GJ, Lee JC, Starr NJ, Knaus WA, Cosgrove DM, 3rd (1997) ICU admission score for predicting morbidity and mortality risk after coronary artery bypass grafting. Ann Thorac Surg 64(4):1050–1058

    Google Scholar 

  28. Nashef SA, Roques F, Michel P, Gauducheau E, Lemeshow S, Salamon R (1999) European system for cardiac operative risk evaluation (Euro-SCORE). Eur J Cardiothorac Surg 16(1):9–13

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Hekmat.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hekmat, K., Kröner, A., Stützer, H. et al. Ein neuer Score für die tägliche Schweregradklassifizierung auf herzchirurgischen Intensivstationen. Z Herz-, Thorax-, Gefäßchir 18, 257–267 (2004). https://doi.org/10.1007/s00398-004-0473-x

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00398-004-0473-x

Schlüsselwörter

Key words

Navigation