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1.
BMC Anesthesiol ; 19(1): 58, 2019 Apr 22.
Artigo em Inglês | MEDLINE | ID: mdl-31010417

RESUMO

Following publication of the original article [1], the authors reported a missing data on Table 1 in their paper. The original article [1] has been updated.

2.
BMC Anesthesiol ; 19(1): 39, 2019 03 20.
Artigo em Inglês | MEDLINE | ID: mdl-30894129

RESUMO

BACKGROUND: A common postoperative complication found among patients who are critically ill is delirium, which has a high mortality rate. A predictive model is needed to identify high-risk patients in order to apply strategies which will prevent and/or reduce adverse outcomes. OBJECTIVES: To identify the incidence of, and the risk factors for, postoperative delirium (POD) in surgical intensive care unit (SICU) patients, and to determine predictive scores for the development of POD. METHODS: This study enrolled adults aged over 18 years who had undergone an operation within the preceding week and who had been admitted to a SICU for a period that was expected to be longer than 24 h. The CAM - ICU score was used to determine the occurrence of delirium. RESULTS: Of the 250 patients enrolled, delirium was found in 61 (24.4%). The independent risk factors for delirium that were identified by a multivariate analysis comprised age, diabetes mellitus, severity of disease (SOFA score), perioperative use of benzodiazepine, and mechanical ventilation. A predictive score (age + (5 × SOFA) + (15 × Benzodiazepine use) + (20 × DM) + (20 × mechanical ventilation) + (20 × modified IQCODE > 3.42)) was created. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.84 (95% CI: 0.786 to 0.897). The cut point of 125 demonstrated a sensitivity of 72.13% and a specificity of 80.95%, and the hospital mortality rate was significantly greater among the delirious than the non-delirious patients (25% vs. 6%, p < 0.01). CONCLUSIONS: POD was experienced postoperatively by a quarter of the surgical patients who were critically ill. A risk score utilizing 6 variables was able to predict which patients would develop POD. The identification of high-risk patients following SICU admission can provide a basis for intervention strategies to improve outcomes. TRIAL REGISTRATION: Thai Clinical Trials Registry TCTR20181204006 . Date registered on December 4, 2018. Retrospectively registered.


Assuntos
Estado Terminal , Delírio/epidemiologia , Unidades de Terapia Intensiva , Complicações Pós-Operatórias/epidemiologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Delírio/etiologia , Feminino , Mortalidade Hospitalar , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos , Respiração Artificial/estatística & dados numéricos , Fatores de Risco
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