Customization and external validation of the Simplified Mortality Score for the Intensive Care Unit (SMS-ICU) in Brazilian critically ill patients
To customize and externally validate the recently proposed Simplified Mortality Score for the ICU (SMS-ICU, a simple score for 90-day mortality that has no need for ancillary testing results) for in-hospital mortality and to compare its performance to SAPS 3. We used data from two distinct large coh...
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Published in: | Journal of critical care Vol. 59; pp. 94 - 100 |
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Abstract | To customize and externally validate the recently proposed Simplified Mortality Score for the ICU (SMS-ICU, a simple score for 90-day mortality that has no need for ancillary testing results) for in-hospital mortality and to compare its performance to SAPS 3.
We used data from two distinct large cohorts of adult Brazilian patients with unplanned ICU admissions to perform a first-level customization (43,017 patients admitted to 78 ICUs) of the original SMS-ICU score for in-hospital mortality and, sequentially, externally validate it (313,365 patients admitted to 99 ICUs). Performance of SMS-ICU was assessed through measurements of discrimination and calibration and compared with SAPS 3.
In the validation cohort, median SMS-ICU was 13 (IQR 8–16) points and median SAPS 3 was 44 (IQR 36–51). Discrimination of SMS-ICU was good (AUC 0.817; 95% CI 0.814–0.819) but slightly lower than of SAPS 3 (AUC 0.845; 95% CI 0.843–0.848;). The customized SMS-ICU predictions were comparable to SAPS 3 in terms of calibration.
In this external validation of the SMS-ICU in a large Brazilian cohort, we observed good discrimination of SMS-ICU and acceptable calibration after first-level customization. SMS-ICU can be used as a measure of illness severity for acutely admitted ICU patients in clinical studies.
•Severity scores usually require laboratory data, which may result in missing values and increase burden of data collection•A simple illness severity score of seven variables (SMS-ICU) has good discrimination and acceptable calibration in a large cohort of critically ill patients•SMS-ICU could be used as an alternative to traditional illness severity scores specially in the context of clinical studies |
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AbstractList | To customize and externally validate the recently proposed Simplified Mortality Score for the ICU (SMS-ICU, a simple score for 90-day mortality that has no need for ancillary testing results) for in-hospital mortality and to compare its performance to SAPS 3.
We used data from two distinct large cohorts of adult Brazilian patients with unplanned ICU admissions to perform a first-level customization (43,017 patients admitted to 78 ICUs) of the original SMS-ICU score for in-hospital mortality and, sequentially, externally validate it (313,365 patients admitted to 99 ICUs). Performance of SMS-ICU was assessed through measurements of discrimination and calibration and compared with SAPS 3.
In the validation cohort, median SMS-ICU was 13 (IQR 8–16) points and median SAPS 3 was 44 (IQR 36–51). Discrimination of SMS-ICU was good (AUC 0.817; 95% CI 0.814–0.819) but slightly lower than of SAPS 3 (AUC 0.845; 95% CI 0.843–0.848;). The customized SMS-ICU predictions were comparable to SAPS 3 in terms of calibration.
In this external validation of the SMS-ICU in a large Brazilian cohort, we observed good discrimination of SMS-ICU and acceptable calibration after first-level customization. SMS-ICU can be used as a measure of illness severity for acutely admitted ICU patients in clinical studies.
•Severity scores usually require laboratory data, which may result in missing values and increase burden of data collection•A simple illness severity score of seven variables (SMS-ICU) has good discrimination and acceptable calibration in a large cohort of critically ill patients•SMS-ICU could be used as an alternative to traditional illness severity scores specially in the context of clinical studies To customize and externally validate the recently proposed Simplified Mortality Score for the ICU (SMS-ICU, a simple score for 90-day mortality that has no need for ancillary testing results) for in-hospital mortality and to compare its performance to SAPS 3. We used data from two distinct large cohorts of adult Brazilian patients with unplanned ICU admissions to perform a first-level customization (43,017 patients admitted to 78 ICUs) of the original SMS-ICU score for in-hospital mortality and, sequentially, externally validate it (313,365 patients admitted to 99 ICUs). Performance of SMS-ICU was assessed through measurements of discrimination and calibration and compared with SAPS 3. In the validation cohort, median SMS-ICU was 13 (IQR 8-16) points and median SAPS 3 was 44 (IQR 36-51). Discrimination of SMS-ICU was good (AUC 0.817; 95% CI 0.814-0.819) but slightly lower than of SAPS 3 (AUC 0.845; 95% CI 0.843-0.848;). The customized SMS-ICU predictions were comparable to SAPS 3 in terms of calibration. In this external validation of the SMS-ICU in a large Brazilian cohort, we observed good discrimination of SMS-ICU and acceptable calibration after first-level customization. SMS-ICU can be used as a measure of illness severity for acutely admitted ICU patients in clinical studies. PurposeTo customize and externally validate the recently proposed Simplified Mortality Score for the ICU (SMS-ICU, a simple score for 90-day mortality that has no need for ancillary testing results) for in-hospital mortality and to compare its performance to SAPS 3.Material and methodsWe used data from two distinct large cohorts of adult Brazilian patients with unplanned ICU admissions to perform a first-level customization (43,017 patients admitted to 78 ICUs) of the original SMS-ICU score for in-hospital mortality and, sequentially, externally validate it (313,365 patients admitted to 99 ICUs). Performance of SMS-ICU was assessed through measurements of discrimination and calibration and compared with SAPS 3.ResultsIn the validation cohort, median SMS-ICU was 13 (IQR 8–16) points and median SAPS 3 was 44 (IQR 36–51). Discrimination of SMS-ICU was good (AUC 0.817; 95% CI 0.814–0.819) but slightly lower than of SAPS 3 (AUC 0.845; 95% CI 0.843–0.848;). The customized SMS-ICU predictions were comparable to SAPS 3 in terms of calibration.ConclusionIn this external validation of the SMS-ICU in a large Brazilian cohort, we observed good discrimination of SMS-ICU and acceptable calibration after first-level customization. SMS-ICU can be used as a measure of illness severity for acutely admitted ICU patients in clinical studies. |
Author | Alves, Alessandra de Magalhães Menezes, Márcia Adélia Moreira, Carlos Eduardo Nassif Bozza, Fernando Augusto Møller, Morten Hylander Hortala, Carlos Cesar Bafi, Antônio Tonete Balieiro, Henrique Miller Perecmanis, Eric Moralez, Giulliana Martines Cabral, Maurício Magalhães Sousa, Marcelo Ferreira Granholm, Anders Scotti, Alexandre Vaz Perner, Anders de Carvalho, Clayton Barbieri Filho, Edison Moraes Rodrigues Soares, Marcio Zampieri, Fernando G. Salluh, Jorge Ibrain Figueira |
Author_xml | – sequence: 1 givenname: Fernando G. surname: Zampieri fullname: Zampieri, Fernando G. email: fzampieri@hcor.com.br organization: Department of Critical Care, D'Or Institute for Research and Education, São Paulo, Brazil – sequence: 2 givenname: Anders surname: Granholm fullname: Granholm, Anders organization: Department of Intensive Care 4131, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark – sequence: 3 givenname: Morten Hylander surname: Møller fullname: Møller, Morten Hylander organization: Department of Intensive Care 4131, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark – sequence: 4 givenname: Alexandre Vaz surname: Scotti fullname: Scotti, Alexandre Vaz organization: ICU, Hospital Badim, Rio de Janeiro, Brazil – sequence: 5 givenname: Alessandra surname: Alves fullname: Alves, Alessandra organization: ICU, Hospital Rios D'Or, Rio de Janeiro, Brazil – sequence: 6 givenname: Maurício Magalhães surname: Cabral fullname: Cabral, Maurício Magalhães organization: ICU, Hospital São Marcos, Recife, Brazil – sequence: 7 givenname: Marcelo Ferreira surname: Sousa fullname: Sousa, Marcelo Ferreira organization: ICU, Santa Casa de Caridade de Diamantina, Diamantina, Brazil – sequence: 8 givenname: Henrique Miller surname: Balieiro fullname: Balieiro, Henrique Miller organization: SAMER Hospital, Resende, Brazil – sequence: 9 givenname: Carlos Cesar surname: Hortala fullname: Hortala, Carlos Cesar organization: Hospital Niteroi D'Or, Niterói, Brazil – sequence: 10 givenname: Edison Moraes Rodrigues surname: Filho fullname: Filho, Edison Moraes Rodrigues organization: ICU, Santa Casa de Porto Alegre - Hospital Dom Vicente Scherer, Porto Alegre, Brazil – sequence: 11 givenname: Eric surname: Perecmanis fullname: Perecmanis, Eric organization: Hospital Caxias D'Or, Duque de Caxias, Brazil – sequence: 12 givenname: Márcia Adélia surname: de Magalhães Menezes fullname: de Magalhães Menezes, Márcia Adélia organization: ICU, Hospital Oeste D'Or, Rio de Janeiro, Brazil – sequence: 13 givenname: Carlos Eduardo Nassif surname: Moreira fullname: Moreira, Carlos Eduardo Nassif organization: ICU, Hospital 9 de Julho, São Paulo, Brazil – sequence: 14 givenname: Giulliana Martines surname: Moralez fullname: Moralez, Giulliana Martines organization: ICU, Hospital Estadual Getúlio Vargas, Rio de Janeiro, Brazil – sequence: 15 givenname: Antônio Tonete surname: Bafi fullname: Bafi, Antônio Tonete organization: ICU, Hospital SEPACO, São Paulo, Brazil – sequence: 16 givenname: Clayton Barbieri surname: de Carvalho fullname: de Carvalho, Clayton Barbieri organization: ICU, Hospital Brasília, Brasília, Brazil – sequence: 17 givenname: Jorge Ibrain Figueira surname: Salluh fullname: Salluh, Jorge Ibrain Figueira organization: Graduate Program in Translational Medicine, Department of Critical Care, D'Or Institute for Research and Education, Rio de Janeiro, Brazil – sequence: 18 givenname: Fernando Augusto surname: Bozza fullname: Bozza, Fernando Augusto organization: Graduate Program in Translational Medicine, Department of Critical Care, D'Or Institute for Research and Education, Rio de Janeiro, Brazil – sequence: 19 givenname: Anders surname: Perner fullname: Perner, Anders organization: Department of Intensive Care 4131, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark – sequence: 20 givenname: Marcio surname: Soares fullname: Soares, Marcio organization: Graduate Program in Translational Medicine, Department of Critical Care, D'Or Institute for Research and Education, Rio de Janeiro, Brazil |
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Cites_doi | 10.1016/j.jclinepi.2015.04.005 10.1186/s13054-017-1930-8 10.1186/s12916-014-0241-z 10.1007/s00134-014-3227-6 10.1111/j.1399-6576.2008.01586.x 10.1097/00003246-198510000-00009 10.1007/s00134-015-4076-7 10.5935/0103-507X.20170062 10.2307/2531595 10.1056/NEJMoa1714919 10.1007/s00134-005-2763-5 10.1097/CCM.0b013e3181b785a2 10.1111/aas.13422 10.1007/s001340000677 10.1111/aas.13048 10.1186/cc8204 |
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Snippet | To customize and externally validate the recently proposed Simplified Mortality Score for the ICU (SMS-ICU, a simple score for 90-day mortality that has no... PurposeTo customize and externally validate the recently proposed Simplified Mortality Score for the ICU (SMS-ICU, a simple score for 90-day mortality that has... PURPOSETo customize and externally validate the recently proposed Simplified Mortality Score for the ICU (SMS-ICU, a simple score for 90-day mortality that has... |
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SubjectTerms | Blood pressure Calibration Critical care Customization Data collection Heart rate Hospitals Illness severity scores Illnesses Intensive care Laboratories Mortality Outcome Physiology Variables Ventilators |
Title | Customization and external validation of the Simplified Mortality Score for the Intensive Care Unit (SMS-ICU) in Brazilian critically ill patients |
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