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Published in: Intensive Care Medicine 7/2010

01-07-2010 | Original

Validation of four prognostic scores in patients with cancer admitted to Brazilian intensive care units: results from a prospective multicenter study

Authors: Márcio Soares, Ulisses V. A. Silva, José M. M. Teles, Eliézer Silva, Pedro Caruso, Suzana M. A. Lobo, Felipe Dal Pizzol, Luciano P. Azevedo, Frederico B. de Carvalho, Jorge I. F. Salluh

Published in: Intensive Care Medicine | Issue 7/2010

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Abstract

Objective

The aim of the present study was to validate the Simplified Acute Physiology Score II (SAPS II) and 3 (SAPS 3), the Mortality Probability Models III (MPM0-III), and the Cancer Mortality Model (CMM) in patients with cancer admitted to several intensive care units (ICU).

Design

Prospective multicenter cohort study.

Setting

Twenty-eight ICUs in Brazil.

Patients

Seven hundred and seventeen consecutive patients (solid tumors 93%; hematological malignancies 7%) included over a 2-month period.

Interventions

None.

Measurements and main results

Discrimination was assessed by area under receiver operating characteristic (AROC) curves and calibration by Hosmer–Lemeshow goodness-of-fit test. The main reasons for ICU admission were postoperative care (57%), sepsis (15%) and respiratory failure (10%). The ICU and hospital mortality rates were 21 and 30%, respectively. When all 717 patients were evaluated, discrimination was superior for both SAPS II (AROC = 0.84) and SAPS 3 (AROC = 0.84) scores compared to CMM (AROC = 0.79) and MPM0-III (AROC = 0.71) scores (P < 0.05 in all comparisons). Calibration was better using CMM and the customized equation of SAPS 3 score for South American countries (CSA). MPM0-III, SAPS II and standard SAPS 3 scores underestimated mortality (standardized mortality ratio, SMR > 1), while CMM tended to overestimation (SMR = 0.48). However, using the SAPS 3 for CSA resulted in more precise estimations of the probability of death [SMR = 1.02 (95% confidence interval = 0.87–1.19)]. Similar results were observed when scheduled surgical patients were excluded.

Conclusions

In this multicenter study, the customized equation of SAPS 3 score for CSA was found to be accurate in predicting outcomes in cancer patients requiring ICU admission.
Appendix
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Literature
1.
go back to reference Soares M, Caruso P, Silva E, Teles JMM, Lobo SMA, Friedman G, Dal Pizzol F, Mello PVC, Bozza FA, Silva UVA, Torelly A, Knibel M, Rezende E, Netto JJ, Piras C, Castro AS, Ferreira BS, Réa-Neto A, Olmedo PB, Salluh JIF (2009) Characteristics and outcomes of patients with cancer requiring admission to intensive care units: a prospective multicenter study. Crit Care Med 38:9–15CrossRef Soares M, Caruso P, Silva E, Teles JMM, Lobo SMA, Friedman G, Dal Pizzol F, Mello PVC, Bozza FA, Silva UVA, Torelly A, Knibel M, Rezende E, Netto JJ, Piras C, Castro AS, Ferreira BS, Réa-Neto A, Olmedo PB, Salluh JIF (2009) Characteristics and outcomes of patients with cancer requiring admission to intensive care units: a prospective multicenter study. Crit Care Med 38:9–15CrossRef
2.
go back to reference Taccone FS, Artigas AA, Sprung CL, Moreno R, Sakr Y, Vincent JL (2009) Characteristics and outcomes of cancer patients in European ICUs. Crit Care 13:R15CrossRefPubMed Taccone FS, Artigas AA, Sprung CL, Moreno R, Sakr Y, Vincent JL (2009) Characteristics and outcomes of cancer patients in European ICUs. Crit Care 13:R15CrossRefPubMed
3.
go back to reference Darmon M, Azoulay E (2009) Critical care management of cancer patients: cause for optimism and need for objectivity. Curr Opin Oncol 21:318–326CrossRefPubMed Darmon M, Azoulay E (2009) Critical care management of cancer patients: cause for optimism and need for objectivity. Curr Opin Oncol 21:318–326CrossRefPubMed
4.
go back to reference Staudinger T, Stoiser B, Mullner M et al (2000) Outcome and prognostic factors in critically ill cancer patients admitted to the intensive care unit. Crit Care Med 28:1322–1328CrossRefPubMed Staudinger T, Stoiser B, Mullner M et al (2000) Outcome and prognostic factors in critically ill cancer patients admitted to the intensive care unit. Crit Care Med 28:1322–1328CrossRefPubMed
5.
go back to reference Azoulay E, Alberti C, Bornstain C, Leleu G, Moreau D, Recher C, Chevret S, Le Gall JR, Brochard L, Schlemmer B (2001) Improved survival in cancer patients requiring mechanical ventilatory support: impact of noninvasive mechanical ventilatory support. Crit Care Med 29:519–525CrossRefPubMed Azoulay E, Alberti C, Bornstain C, Leleu G, Moreau D, Recher C, Chevret S, Le Gall JR, Brochard L, Schlemmer B (2001) Improved survival in cancer patients requiring mechanical ventilatory support: impact of noninvasive mechanical ventilatory support. Crit Care Med 29:519–525CrossRefPubMed
6.
go back to reference Soares M, Salluh JIF, Spector N, Rocco JR (2005) Characteristics and outcomes of cancer patients requiring mechanical ventilatory support for >24 h. Crit Care Med 33:520–526CrossRefPubMed Soares M, Salluh JIF, Spector N, Rocco JR (2005) Characteristics and outcomes of cancer patients requiring mechanical ventilatory support for >24 h. Crit Care Med 33:520–526CrossRefPubMed
7.
go back to reference den Boer S, de Keizer NF, de Jonge E (2005) Performance of prognostic models in critically ill cancer patients—a review. Crit Care 9:R458–R463CrossRef den Boer S, de Keizer NF, de Jonge E (2005) Performance of prognostic models in critically ill cancer patients—a review. Crit Care 9:R458–R463CrossRef
8.
go back to reference Schellongowski P, Benesch M, Lang T, Traunmüller F, Zauner C, Laczika K, Locker GJ, Frass M, Staudinger T (2004) Comparison of three severity scores for critically ill cancer patients. Intensive Care Med 30:430–436CrossRefPubMed Schellongowski P, Benesch M, Lang T, Traunmüller F, Zauner C, Laczika K, Locker GJ, Frass M, Staudinger T (2004) Comparison of three severity scores for critically ill cancer patients. Intensive Care Med 30:430–436CrossRefPubMed
9.
go back to reference Soares M, Fontes F, Dantas J, Gadelha D, Cariello P, Nardes F, Amorim C, Toscano L, Rocco JR (2004) Performance of six severity-of-illness scores in cancer patients requiring admission to the intensive care unit: a prospective observational study. Crit Care 8:R194–R203CrossRefPubMed Soares M, Fontes F, Dantas J, Gadelha D, Cariello P, Nardes F, Amorim C, Toscano L, Rocco JR (2004) Performance of six severity-of-illness scores in cancer patients requiring admission to the intensive care unit: a prospective observational study. Crit Care 8:R194–R203CrossRefPubMed
10.
go back to reference Sculier J-P, Paesmans M, Markiewicz E, Berghmans T (2000) Scoring systems in cancer patients admitted for an acute complication in a medical intensive care unit. Crit Care Med 28:2786–2792CrossRefPubMed Sculier J-P, Paesmans M, Markiewicz E, Berghmans T (2000) Scoring systems in cancer patients admitted for an acute complication in a medical intensive care unit. Crit Care Med 28:2786–2792CrossRefPubMed
11.
go back to reference Soares M, Salluh JI (2006) Validation of the SAPS 3 admission prognostic model in patients with cancer in need of intensive care. Intensive Care Med 32:1839–1844CrossRefPubMed Soares M, Salluh JI (2006) Validation of the SAPS 3 admission prognostic model in patients with cancer in need of intensive care. Intensive Care Med 32:1839–1844CrossRefPubMed
12.
go back to reference Berghmans T, Paesmans M, Sculier JP (2004) Is a specific oncological scoring system better at predicting the prognosis of cancer patients admitted for an acute medical complication in an intensive care unit than general gravity scores? Support Care Cancer 12:234–239CrossRefPubMed Berghmans T, Paesmans M, Sculier JP (2004) Is a specific oncological scoring system better at predicting the prognosis of cancer patients admitted for an acute medical complication in an intensive care unit than general gravity scores? Support Care Cancer 12:234–239CrossRefPubMed
13.
go back to reference Guiguet M, Blot F, Escudier B, Antoun S, Leclercq B, Nitenberg G (1998) Severity-of-illness scores for neutropenic cancer patients in an intensive care unit: Which is the best predictor? Do multiple assessment times improve the predictive value? Crit Care Med 26:488–493CrossRefPubMed Guiguet M, Blot F, Escudier B, Antoun S, Leclercq B, Nitenberg G (1998) Severity-of-illness scores for neutropenic cancer patients in an intensive care unit: Which is the best predictor? Do multiple assessment times improve the predictive value? Crit Care Med 26:488–493CrossRefPubMed
14.
go back to reference Groeger JS, Lemeshow S, Price K, Nierman DM, White P, Klar J, Granovsky S, Horak D, Kish SK (1998) Multicenter outcome study of cancer patients admitted to the intensive care unit: a probability of mortality model. J Clin Oncol 16:761–770PubMed Groeger JS, Lemeshow S, Price K, Nierman DM, White P, Klar J, Granovsky S, Horak D, Kish SK (1998) Multicenter outcome study of cancer patients admitted to the intensive care unit: a probability of mortality model. J Clin Oncol 16:761–770PubMed
15.
go back to reference Le Gall J-R, Lemeshow S, Saulnier F (1993) A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA 270:2957–2963CrossRefPubMed Le Gall J-R, Lemeshow S, Saulnier F (1993) A new simplified acute physiology score (SAPS II) based on a European/North American multicenter study. JAMA 270:2957–2963CrossRefPubMed
16.
go back to reference Moreno RP, Metnitz PGH, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR, SAPS 3 Investigators (2005) 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 31:1345–1355CrossRefPubMed Moreno RP, Metnitz PGH, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR, SAPS 3 Investigators (2005) 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 31:1345–1355CrossRefPubMed
17.
go back to reference Higgins TL, Teres D, Copes WS, Nathanson BH, Stark M, Kramer AA (2007) Assessing contemporary intensive care unit outcome: an updated Mortality Probability Admission Model (MPM0-III). Crit Care Med 35:827–835CrossRefPubMed Higgins TL, Teres D, Copes WS, Nathanson BH, Stark M, Kramer AA (2007) Assessing contemporary intensive care unit outcome: an updated Mortality Probability Admission Model (MPM0-III). Crit Care Med 35:827–835CrossRefPubMed
18.
go back to reference Benoit DD, Vandewoude KH, Decruyenaere JM, Hoste EA, Colardyn FA (2003) Outcome and early prognostic indicators in patients with a hematologic malignancy admitted to the intensive care unit for a life-threatening complication. Crit Care Med 31:104–112CrossRefPubMed Benoit DD, Vandewoude KH, Decruyenaere JM, Hoste EA, Colardyn FA (2003) Outcome and early prognostic indicators in patients with a hematologic malignancy admitted to the intensive care unit for a life-threatening complication. Crit Care Med 31:104–112CrossRefPubMed
19.
go back to reference Levy MM, Fink MP, Marshall JC, Abraham E, Angus D, Cook D, Cohen J, Opal SM, Vincent JL, Ramsay G (2003) 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med 31:1250–1256CrossRefPubMed Levy MM, Fink MP, Marshall JC, Abraham E, Angus D, Cook D, Cohen J, Opal SM, Vincent JL, Ramsay G (2003) 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med 31:1250–1256CrossRefPubMed
20.
go back to reference Hanley JA, McNeil BJ (1982) The meaning and use of the area under receiver operating characteristic (ROC) curve. Radiology 143:29–36PubMed Hanley JA, McNeil BJ (1982) The meaning and use of the area under receiver operating characteristic (ROC) curve. Radiology 143:29–36PubMed
21.
go back to reference Hosmer DW, Lemeshow S (2000) Applied logistic regression, 2nd edn. Wiley, New York Hosmer DW, Lemeshow S (2000) Applied logistic regression, 2nd edn. Wiley, New York
22.
go back to reference DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845CrossRefPubMed DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845CrossRefPubMed
23.
go back to reference Metnitz PGH, Moreno RP, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR, SAPS 3 Investigators (2005) SAPS 3–From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description. Intensive Care Med 31:1336–1344CrossRefPubMed Metnitz PGH, Moreno RP, Almeida E, Jordan B, Bauer P, Campos RA, Iapichino G, Edbrooke D, Capuzzo M, Le Gall JR, SAPS 3 Investigators (2005) SAPS 3–From evaluation of the patient to evaluation of the intensive care unit. Part 1: Objectives, methods and cohort description. Intensive Care Med 31:1336–1344CrossRefPubMed
24.
go back to reference Depuydt PO, Benoit DD, Roosens CD, Offner FC, Noens LA, Decruyenaere JM (2010) The impact of the initial ventilatory strategy on survival in hematological patients with acute hypoxemic respiratory failure. J Crit Care 25:30–36CrossRefPubMed Depuydt PO, Benoit DD, Roosens CD, Offner FC, Noens LA, Decruyenaere JM (2010) The impact of the initial ventilatory strategy on survival in hematological patients with acute hypoxemic respiratory failure. J Crit Care 25:30–36CrossRefPubMed
25.
go back to reference Peek N, Arts DG, Bosman RJ, van der Voort PH, de Keizer NF (2007) External validation of prognostic models for critically ill patients required substantial sample sizes. J Clin Epidemiol 60:491–501CrossRefPubMed Peek N, Arts DG, Bosman RJ, van der Voort PH, de Keizer NF (2007) External validation of prognostic models for critically ill patients required substantial sample sizes. J Clin Epidemiol 60:491–501CrossRefPubMed
26.
go back to reference Zhu B-P, Lemeshow S, Hosmer DW, Klar J, Avrunin J, Teres D et al (1996) Factors affecting the performance of the models in the Mortality Probability Model II system and strategies of customization. A simulation study. Crit Care Med 24:57–63CrossRefPubMed Zhu B-P, Lemeshow S, Hosmer DW, Klar J, Avrunin J, Teres D et al (1996) Factors affecting the performance of the models in the Mortality Probability Model II system and strategies of customization. A simulation study. Crit Care Med 24:57–63CrossRefPubMed
Metadata
Title
Validation of four prognostic scores in patients with cancer admitted to Brazilian intensive care units: results from a prospective multicenter study
Authors
Márcio Soares
Ulisses V. A. Silva
José M. M. Teles
Eliézer Silva
Pedro Caruso
Suzana M. A. Lobo
Felipe Dal Pizzol
Luciano P. Azevedo
Frederico B. de Carvalho
Jorge I. F. Salluh
Publication date
01-07-2010
Publisher
Springer-Verlag
Published in
Intensive Care Medicine / Issue 7/2010
Print ISSN: 0342-4642
Electronic ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-010-1807-7

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