Search

Purpose: 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., Material and Methods: 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., Results: 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., Conclusion: 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., Competing Interests: Declaration of Competing Interest MS and JIFS are proprietary and founder of Epimed Solutions®, a cloud-based registry for intensive care units that was used for the ORCHESTRA database. AG, AP, and MHM were involved in the development of the SMS-ICU. The ICU, Rigshospitalet receives fund for other research projects from Ferring Pharmaceuticals, Denmark, and the Novo Nordisk Foundation, Denmark., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Purpose: To assess the impact of performance status (PS) impairment 1 week before hospital admission on the outcomes in patients admitted to intensive care units (ICU)., Methods: Retrospective cohort study in 59,693 patients (medical admissions, 67 %) admitted to 78 ICUs during 2013. We classified PS impairment according to the Eastern Cooperative Oncology Group (ECOG) scale in absent/minor (PS = 0-1), moderate (PS = 2) or severe (PS = 3-4). We used univariate and multivariate logistic regression analyses to investigate the association between PS impairment and hospital mortality., Results: PS impairment was moderate in 17.3 % and severe in 6.9 % of patients. The hospital mortality was 14.4 %. Overall, the worse the PS, the higher the ICU and hospital mortality and length of stay. In addition, patients with worse PS were less frequently discharged home. PS impairment was associated with worse outcomes in all SAPS 3, Charlson Comorbidity Index and age quartiles as well as according to the admission type. Adjusting for other relevant clinical characteristics, PS impairment was associated with higher hospital mortality (odds-ratio (OR) = 1.96 (95 % CI 1.63-2.35), for moderate and OR = 4.22 (3.32-5.35), for severe impairment). The effects of PS on the outcome were particularly relevant in the medium range of severity-of-illness. These results were consistent in the subgroup analyses. However, adding PS impairment to the SAPS 3 score improved only slightly its discriminative capability., Conclusion: PS impairment was associated with worse outcomes independently of other markers of chronic health status, particularly for patients in the medium range of severity of illness.

Background: The prognostic value of BNP in acute coronary syndrome (ACS) has been repeatedly assessed, but not completely well established. Literature data for establishing the best time for assessing BNP, be it on hospital admission or after coronary intervention, are controversial., Objective: To analyze BNP in non-ST segment elevation ACS (NSTE-ACS) in the long term, and to assess the association between BNP (pg/ml), death, coronary anatomy, and TIMI Risk Score., Methods: Forty patients with NSTE-ACS and troponin>0.50 ng/ml had their BNP levels measured on admission and 96 hours after, and were followed up for four years. The difference between the two measures was assessed by use of Wilcoxon test (p<0.05). The ROC curve was used to evaluate 96-hour BNP accuracy as a death predictor, and logistic regression was used to assess a possible confounding factor among 96-hour BNP, age, and outcome., Results: There was an increase in the 96-hour BNP (148 on admission vs. 267 after 96 hours; p=0.04). Thirteen patients died. For the 300 pg/ml cutoff, 96-hour BNP was a death predictor (sensitivity, 92.30%; specificity, 77.80%; positive predictive value, 66.70%; negative predictive value, 95.50%). The area under the ROC curve was 0.92. A 7.4-time increase in the relative risk of death in four years was observed with a 96-hour BNP> 300 pg/ml (95% CI 1.90 a 29.30 p<0.01). An association between 96-hour BNP and TIMI Risk Score was observed (p<0.01). An association was observed between the increase in 96-hour BNP and multivessel disease (p=0.02)., Conclusion: In NSTE-ACS with positive troponin, 96-hour BNP can be a tool for risk stratification.