In:
Annals of Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 276, No. 2 ( 2022-08), p. e114-e119
Kurzfassung:
In a multicenter, international cohort, we aimed to validate a modified Sequential Organ Failure Assessment (mSOFA) using the Richmond Agitation-Sedation Scale, hypothesized as comparable to the Glasgow Coma Scale (GCS)-based Sequential Organ Failure Assessment (SOFA). Summary Background Data: The SOFA score, whose neurologic component is based on the GCS, can predict intensive care unit (ICU) mortality. But, GCS is often missing in lieu of other assessments, such as the also reliable and validated Richmond Agitation Sedation Scale (RASS). Single-center data suggested an RASS-based SOFA (mSOFA) predicted ICU mortality. Methods: Our nested cohort within the prospective 2016 Fourth International Study of Mechanical Ventilation contains 4120 ventilated patients with daily RASS and GCS assessments (20,023 patient-days, 32 countries). We estimated GCS from RASS via a proportional odds model without adjustment. ICU mortality logistic regression models and c-statistics were constructed using SOFA (measured GCS) and mSOFA (measured RASS-estimated GCS), adjusted for age, sex, body-mass index, region (Europe, USA-Canada, Latin America, Africa, Asia, Australia-New Zealand), and postoperative status (medical/surgical). Results: Cohort-wide, the mean SOFA=9.4+/−2.8 and mean mSOFA = 10.0+/−2.3, with ICU mortality = 31%. Mean SOFA and mSOFA similarly predicted ICU mortality (SOFA: AUC = 0.784, 95% CI = 0.769–0.799; mSOFA: AUC = 0.778, 95% CI = 0.763–0.793, P = 0.139). Across models, other predictors of mortality included higher age, female sex, medical patient, and African region (all P 〈 0.001). Conclusions: We present the first SOFA modification with RASS in a “real-world” international cohort. Estimating GCS from RASS preserves predictive validity of SOFA to predict ICU mortality. Alternative neurologic measurements like RASS can be viably integrated into severity of illness scoring systems like SOFA.
Materialart:
Online-Ressource
ISSN:
0003-4932
DOI:
10.1097/SLA.0000000000004484
Sprache:
Englisch
Verlag:
Ovid Technologies (Wolters Kluwer Health)
Publikationsdatum:
2022
ZDB Id:
2002200-1
