Skip to main content
Log in

qSOFA score not predictive of in-hospital mortality in emergency patients with decompensated liver cirrhosis

qSOFA-Score nicht prädiktiv für Krankenhaussterblichkeit bei Notfallpatienten mit dekompensierter Leberzirrhose

  • Originalien
  • Published:
Medizinische Klinik - Intensivmedizin und Notfallmedizin Aims and scope Submit manuscript

Abstract

Background

Quick sequential organ failure assessement (qSOFA) has been validated for patients with presumed sepsis and the general emergency department (ED) population. However, it has not been validated in specific subgroups of ED patients with a high mortality. We aimed to investigate the prognostic performance of qSOFA with respect to in-hospital mortality, intensive care unit (ICU) admission, and length of hospitalisation in patients with decompensated liver cirrhosis. Furthermore, we compared qSOFA to systemic inflammatory response syndrome (SIRS), model of end stage liver disease score (MELD), and Child–Pugh criteria and evaluated whether addition of sodium (Na+) levels to qSOFA increases its prognostic performance.

Methods

This observational study included patients admitted with the diagnosis of decompensated liver cirrhosis. All patients with a complete set of vital parameters were included in this study.

Results

A total of 186 patients were included. A positive qSOFA score was not associated with in-hospital mortality, ICU admission, or length of hospitalisation (all p > 0.15). MELD scores reliably predicted need for ICU admission and in-hospital mortality (both p < 0.01), but not the length of hospitalisation. qSOFA-Na+ only moderately increased the diagnostic performance of qSOFA with regard to need for ICU admission (AUCICU[qSOFA] = 0.504 vs. AUCICU[qSOFA-Na+] = 0.609, p = 0.03), but not for in-hospital mortality (AUCdeath[qSOFA] = 0.513 vs. AUCdeath[qSOFA-Na+] = 0.592, p = 0.054).

Conclusion

qSOFA does not predict in-hospital mortality, ICU admission or length of hospitalisation in patients with decompensated liver cirrhosis. Extension of qSOFA with a disease-specific component, the qSOFA-Na+, moderately increased the diagnostic ability of qSOFA.

Zusammenfassung

Hintergrund

Der „quick sequential organ failure assessement“(qSOFA)-Score wurde zur Prädiktion der Mortalität sowohl bei Patienten mit Verdacht auf Sepsis als auch bei Notfallpatienten im Allgemeinen validiert. Eine Validierung bei bestimmten Untergruppen von Notfallpatienten mit hoher Mortalität ist jedoch noch nicht erfolgt. Ziel dieser Arbeit war es, die prognostische Wertigkeit bei Patienten, die sich mit dekompensierter Leberzirrhose in der Notaufnahme vorstellen, in Bezug auf Krankenhaussterblichkeit, Verlegung auf die Intensivstation und Krankenhausverweildauer zu analysieren. Des Weiteren wurde qSOFA mit „systemic inflammatory response syndrome“(SIRS)-, „model of end stage liver disease score“(MELD)- und Child-Pugh-Kriterien verglichen. Es wurde überprüft, ob die Einbeziehung des Natriumspiegels (Na+) in qSOFA die prognostische Wertigkeit erhöht.

Methoden

Alle Patienten mit der Aufnahmediagnose einer dekompensierten Leberzirrhose, die sich über einen Zeitraum von 10 Jahren in der Notaufnahme des Universitätsklinikums Bern, Schweiz, vorstellten, wurden in die Beobachtungsstudie eingeschlossen. Die Dokumentation der Vitalparameter musste vollständig sein.

Ergebnisse

In die Studie wurden 186 Patienten eingeschlossen. Der MELD-Score war sowohl mit der Krankenhaussterblichkeit als auch mit der notfallmäßigen Verlegung auf die Intensivstation assoziiert (je p < 0,01), nicht jedoch mit der Krankenhausverweildauer. Ein positiver qSOFA-Score (≥2 Punkte) war dagegen nicht mit der Krankenhaussterblichkeit, Verlegung auf die Intensivstation oder Krankenhausverweildauer assoziiert (je p > 0,15). Eine Erweiterung des qSOFA-Scores um die Natriumkomponente (qSOFA-Na+) erhöhte die Vorhersagekraft bezüglich der notfallmäßigen Verlegung auf die Intensivstation moderat (AUC[qSOFA] = 0,504 vs. AUC[qSOFA-Na+] = 0,609, p = 0,03), die bezüglich der Krankenhaussterblichkeit dagegen nicht (AUC[qSOFA] = 0,513 vs. AUC[qSOFA-Na+] = 0,592, p = 0,054).

Schlussfolgerung

Der qSOFA-Score besitzt keine ausreichende Vorhersagekraft für die Krankenhaussterblichkeit, notfallmäßige Verlegung auf die Intensivstation oder Krankenhausverweildauer bei Patienten mit dekompensierter Leberzirrhose. Eine Erweiterung des qSOFA-Scores um eine erkrankungsspezifische Natriumkomponente erhöht die prognostische Wertigkeit moderat.

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.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M et al (2016) The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 315(8):801–810

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Finkelsztein EJ, Jones DS, Ma KC, Pabon MA, Delgado T, Nakahira K et al (2017) Comparison of qSOFA and SIRS for predicting adverse outcomes of patients with suspicion of sepsis outside the intensive care unit. Crit Care 21(1):73

    PubMed  PubMed Central  Google Scholar 

  3. Seymour CW, Liu VX, Iwashyna TJ, Brunkhorst FM, Rea TD, Scherag A et al (2016) Assessment of clinical criteria for sepsis: For the third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 315(8):762–774

    CAS  PubMed  PubMed Central  Google Scholar 

  4. Churpek MM, Zadravecz FJ, Winslow C, Howell MD, Edelson DP (2015) Incidence and prognostic value of the systemic inflammatory response syndrome and organ dysfunctions in ward patients. Am J Respir Crit Care Med 192(8):958–964

    PubMed  PubMed Central  Google Scholar 

  5. Quinten VM, van Meurs M, Wolffensperger AE, Ter Maaten JC, Ligtenberg JJM (2017) Sepsis patients in the emergency department: Stratification using the Clinical Impression Score, Predisposition, Infection, Response and Organ dysfunction score or quick Sequential Organ Failure Assessment score? Eur J Emerg Med. https://doi.org/10.1097/MEJ.0000000000000460

    Article  PubMed Central  Google Scholar 

  6. Kim M, Ahn S, Kim WY, Sohn CH, Seo DW, Lee YS et al (2017) Predictive performance of the quick Sequential Organ Failure Assessment score as a screening tool for sepsis, mortality, and intensive care unit admission in patients with febrile neutropenia. Support Care Cancer 25(5):1557–1562

    PubMed  Google Scholar 

  7. Henning DJ, Puskarich MA, Self WH, Howell MD, Donnino MW, Yealy DM et al (2017) An emergency department validation of the SEP-3 sepsis and septic shock definitions and comparison with 1992 consensus definitions. Ann Emerg Med 70(4):544–552.e5. https://doi.org/10.1016/j.annemergmed.2017.01.008

    Article  PubMed  PubMed Central  Google Scholar 

  8. Ho KM, Lan NS (2017) Combining quick sequential organ failure assessment with plasma lactate concentration is comparable to standard sequential organ failure assessment score in predicting mortality of patients with and without suspected infection. J Crit Care 38:1–5

    PubMed  Google Scholar 

  9. Donnelly JP, Safford MM, Shapiro NI, Baddley JW, Wang HE (2017) Application of the third international consensus definitions for sepsis (Sepsis-3) classification: A retrospective population-based cohort study. Lancet Infect Dis 17(6):661–670. https://doi.org/10.1016/S1473-3099(17)30117-2

    Article  PubMed  PubMed Central  Google Scholar 

  10. Freund Y, Lemachatti N, Krastinova E, Van Laer M, Claessens YE, Avondo A et al (2017) Prognostic accuracy of Sepsis-3 criteria for in-hospital mortality among patients with suspected infection presenting to the emergency department. JAMA 317(3):301–308

    PubMed  Google Scholar 

  11. Williams JM, Greenslade JH, McKenzie JV, Chu K, Brown AF, Lipman J (2017) Systemic inflammatory response syndrome, quick sequential organ function assessment, and organ dysfunction: Insights from a prospective database of ED patients with infection. Chest 151(3):586–596

    PubMed  Google Scholar 

  12. Wang JY, Chen YX, Guo SB, Mei X, Yang P (2016) Predictive performance of quick sepsis-related organ failure assessment for mortality and ICU admission in patients with infection at the ED. Am J Emerg Med 34(9):1788–1793

    PubMed  Google Scholar 

  13. Chen YX, Wang JY, Guo SB (2016) Use of CRB-65 and quick sepsis-related organ failure assessment to predict site of care and mortality in pneumonia patients in the emergency department: A retrospective study. Crit Care (Lond) 20(1):167

    Google Scholar 

  14. Singer AJ, Ng J, Thode HC Jr., Spiegel R, Weingart S (2017) Quick SOFA scores predict mortality in adult emergency department patients with and without suspected infection. Ann Emerg Med 69(4):475–479

    PubMed  Google Scholar 

  15. Murray CJ, Atkinson C, Bhalla K, Birbeck G, Burstein R, Chou D et al (2013) The state of US health, 1990–2010: Burden of diseases, injuries, and risk factors. JAMA 310(6):591–608

    CAS  PubMed  Google Scholar 

  16. Mokdad AA, Lopez AD, Shahraz S, Lozano R, Mokdad AH, Stanaway J et al (2014) Liver cirrhosis mortality in 187 countries between 1980 and 2010: A systematic analysis. Bmc Med 12:145

    PubMed  PubMed Central  Google Scholar 

  17. Mathur AK, Chakrabarti AK, Mellinger JL, Volk ML, Day R, Singer AL et al (2017) Hospital resource intensity and cirrhosis mortality in United States. World J Gastroenterol 23(10):1857–1865

    PubMed  PubMed Central  Google Scholar 

  18. Alsultan MA, Alrshed RS, Aljumah AA, Baharoon SA, Arabi YM, Aldawood AS (2011) In-hospital mortality among a cohort of cirrhotic patients admitted to a tertiary hospital. Saudi J Gastroenterol 17(6):387–390

    PubMed  PubMed Central  Google Scholar 

  19. Koch A, Trautwein C, Tacke F (2017) Acute liver failure. Med Klin Intensivmed Notfmed 112(4):371–381

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Al-Hamoudi WK (2010) Cardiovascular changes in cirrhosis: Pathogenesis and clinical implications. Saudi J Gastroenterol 16(3):145–153

    PubMed  PubMed Central  Google Scholar 

  21. Ferenci P, Lockwood A, Mullen K, Tarter R, Weissenborn K, Blei AT (2002) Hepatic encephalopathy – definition, nomenclature, diagnosis, and quantification: Final report of the working party at the 11th World Congresses of Gastroenterology, Vienna, 1998. Hepatology 35(3):716–721

    PubMed  Google Scholar 

  22. Pfortmueller CA, Wiemann C, Funk GC, Leichtle AB, Fiedler GM, Exadaktylos AK et al (2014) Hypoglycemia is associated with increased mortality in patients with acute decompensated liver cirrhosis. J Crit Care 29(2):316.e7–316.e12

    Google Scholar 

  23. CLIF-C (2017) AD (Acute Decompensation) score and expected mortality rates 2017. https://www.clifresearch.com/ToolsCalculators.aspx

    Google Scholar 

  24. Morales BP, Planas R, Bartoli R, Morillas RM, Sala M, Cabre E et al (2017) Early hospital readmission in decompensated cirrhosis: Incidence, impact on mortality, and predictive factors. Dig Liver Dis 49(8):903–909. https://doi.org/10.1016/j.dld.2017.03.005

    Article  PubMed  Google Scholar 

  25. Barakat AA, Metwaly AA, Nasr FM, El-Ghannam M, El-Talkawy MD, Taleb HA (2015) Impact of hyponatremia on frequency of complications in patients with decompensated liver cirrhosis. Electron Physician 7(6):1349–1358

    PubMed  PubMed Central  Google Scholar 

  26. Moller S, Krag A, Bendtsen F (2014) Kidney injury in cirrhosis: Pathophysiological and therapeutic aspects of hepatorenal syndromes. Liver Int 34(8):1153–1163

    CAS  PubMed  Google Scholar 

  27. Arroyo V, Jalan R (2016) Acute-on-chronic liver failure: Definition, diagnosis, and clinical characteristics. Semin Liver Dis 36(2):109–116

    PubMed  Google Scholar 

  28. Jalan R, Saliba F, Pavesi M, Amoros A, Moreau R, Gines P et al (2014) Development and validation of a prognostic score to predict mortality in patients with acute-on-chronic liver failure. J Hepatol 61(5):1038–1047

    PubMed  Google Scholar 

  29. Jalan R, Pavesi M, Saliba F, Amoros A, Fernandez J, Holland-Fischer P et al (2015) The CLIF Consortium Acute Decompensation score (CLIF-C ADs) for prognosis of hospitalised cirrhotic patients without acute-on-chronic liver failure. J Hepatol 62(4):831–840

    PubMed  Google Scholar 

  30. Li N, Huang C, Yu KK, Lu Q, Shi GF, Zheng JM (2017) Validation of prognostic scores to predict short-term mortality in patients with HBV-related acute-on-chronic liver failure: The CLIF-C OF is superior to MELD, CLIF SOFA, and CLIF-C ACLF. Medicine (Baltimore) 96(17):e6802

    Google Scholar 

  31. DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics 44(3):837–845

    CAS  PubMed  Google Scholar 

  32. Forward E, Konecny P, Burston J, Adhikari S, Doolan H, Jensen T (2017) Predictive validity of the qSOFA criteria for sepsis in non-ICU inpatients. Intensive Care Med 43(6):945–946. https://doi.org/10.1007/s00134-017-4776-2

    Article  PubMed  Google Scholar 

  33. Oladimeji AA, Temi AP, Adekunle AE, Taiwo RH, Ayokunle DS (2013) Prevalence of spontaneous bacterial peritonitis in liver cirrhosis with ascites. Pan Afr Med J 15:128

    PubMed  PubMed Central  Google Scholar 

  34. Rimola A, Garcia-Tsao G, Navasa M, Piddock LJ, Planas R, Bernard B et al (2000) Diagnosis, treatment and prophylaxis of spontaneous bacterial peritonitis: A consensus document. International Ascites Club. J Hepatol 32(1):142–153

    CAS  PubMed  Google Scholar 

  35. Antunes AG, Teixeira C, Vaz AM, Martins C, Queiros P, Alves A et al (2017) Comparison of the prognostic value of Chronic Liver Failure Consortium scores and traditional models for predicting mortality in patients with cirrhosis. Gastroenterol Hepatol 40(4):276–285

    PubMed  Google Scholar 

  36. Zubieta-Rodriguez R, Gomez-Correa J, Rodriguez-Amaya R, Ariza-Mejia KA, Toloza-Cuta NA (2017) In-hospital mortality in cirrhotic patients at a tertiary care center. Rev Gastroenterol Mex 82(3):203–209. https://doi.org/10.1016/j.rgmx.2016.10.002

    Article  CAS  PubMed  Google Scholar 

  37. Wiesner R, Edwards E, Freeman R, Harper A, Kim R, Kamath P et al (2003) Model for end-stage liver disease (MELD) and allocation of donor livers. Gastroenterology 124(1):91–96

    PubMed  Google Scholar 

  38. Lyles T, Elliott A, Rockey DC (2014) A risk scoring system to predict in-hospital mortality in patients with cirrhosis presenting with upper gastrointestinal bleeding. J Clin Gastroenterol 48(8):712–720

    PubMed  Google Scholar 

  39. Balekian AA, Gould MK (2012) Predicting in–hospital mortality among critically ill patients with end-stage liver disease. J Crit Care 27(6):740 e1–740 e7

    Google Scholar 

  40. Innocenti F, Tozzi C, Donnini C, De Villa E, Conti A, Zanobetti M et al (2017) SOFA score in septic patients: incremental prognostic value over age, comorbidities, and parameters of sepsis severity. Intern Emerg Med 13(3):405–412. https://doi.org/10.1007/s11739-017-1629-5

    Article  PubMed  Google Scholar 

  41. Das K, Das K, Datta S, Pal S, Hembram JR, Dhali GK et al (2010) Course of disease and survival after onset of decompensation in hepatitis B virus-related cirrhosis. Liver Int 30(7):1033–1042

    PubMed  Google Scholar 

  42. Cazzaniga M, Dionigi E, Gobbo G, Fioretti A, Monti V, Salerno F (2009) The systemic inflammatory response syndrome in cirrhotic patients: Relationship with their in-hospital outcome. J Hepatol 51(3):475–482

    PubMed  Google Scholar 

  43. Thabut D, Massard J, Gangloff A, Carbonell N, Francoz C, Nguyen-Khac E et al (2007) Model for end-stage liver disease score and systemic inflammatory response are major prognostic factors in patients with cirrhosis and acute functional renal failure. Hepatology 46(6):1872–1882

    PubMed  Google Scholar 

  44. Piano S, Bartoletti M, Tonon M, Baldassarre M, Chies G, Romano A et al (2017) Assessment of Sepsis-3 criteria and quick SOFA in patients with cirrhosis and bacterial infections. Gut. pii: gutjnl-2017-314324. https://doi.org/10.1136/gutjnl-2017-314324

    Article  PubMed  Google Scholar 

  45. Raith EP, Udy AA, Bailey M, McGloughlin S, MacIsaac C, Bellomo R et al (2017) Prognostic accuracy of the SOFA score, SIRS criteria, and qSOFA score for in-hospital mortality among adults with suspected infection admitted to the intensive care unit. JAMA 317(3):290–300

    PubMed  Google Scholar 

  46. Chen RC, Wang XD, Dong JZ, Lin Z, Wu JM, Cai YJ et al (2017) A MELD-based nomogram for predicting 3‑month mortality of patients with acute-on-chronic hepatitis B liver failure. Clin Chim Acta 468:195–200

    CAS  PubMed  Google Scholar 

  47. Shi KQ, Cai YJ, Lin Z, Dong JZ, Wu JM, Wang XD et al (2017) Development and validation of a prognostic nomogram for acute-on-chronic hepatitis B liver failure. J Gastroenterol Hepatol 32(2):497–505

    CAS  PubMed  Google Scholar 

  48. Cai YJ, Dong JJ, Dong JZ, Chen Y, Lin Z, Song M et al (2017) A nomogram for predicting prognostic value of inflammatory response biomarkers in decompensated cirrhotic patients without acute-on-chronic liver failure. Aliment Pharmacol Ther 45(11):1413–1426

    PubMed  Google Scholar 

  49. ffrench-O’Carroll R, Frohlich S, Murphy N, Conlon N (2015) Predictors of outcome in decompensated liver disease: Validation of the SOFA-L score. Ir Med J 108(4):114–116

    PubMed  Google Scholar 

  50. Zhou XD, Zhang JY, Liu WY, Wu SJ, Shi KQ, Braddock M et al (2017) Quick chronic liver failure-sequential organ failure assessment: An easy-to-use scoring model for predicting mortality risk in critically ill cirrhosis patients. Eur J Gastroenterol Hepatol 29(6):698–705

    PubMed  Google Scholar 

  51. Sy E, Ronco JJ, Searle R, Karvellas CJ (2016) Prognostication of critically ill patients with acute-on-chronic liver failure using the chronic liver failure-sequential organ failure assessment: A Canadian retrospective study. J Crit Care 36:234–239

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C. A. Pfortmueller.

Ethics declarations

Conflict of interest

M. Müller, J. C. Schefold, A. B. Leichtle, D. Srivastava, G. Lindner, A. K. Exadaktylos and C. A. Pfortmueller declare that they have no competing interests.

The study was approved by the regional ethics committee of the Canton of Bern, Switzerland (KEK: 14-02-13). Individual informed consent was waived by the ethics committee.

Additional information

Redaktion

M. Buerke, Siegen

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Müller, M., Schefold, J.C., Leichtle, A.B. et al. qSOFA score not predictive of in-hospital mortality in emergency patients with decompensated liver cirrhosis. Med Klin Intensivmed Notfmed 114, 724–732 (2019). https://doi.org/10.1007/s00063-018-0477-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00063-018-0477-z

Keywords

Schlüsselwörter

Navigation