RESUMO
Platelet glycoprotein (GP) IIb/IIIa antagonists have been employed in selective patients after endovascular therapy (EVT) for acute ischemic stroke (AIS), yet application in patients without EVT is debated. This meta-analysis of randomized controlled studies on AIS patients without EVT assessed the effectiveness and safety of platelet GP IIb/IIIa antagonists compared with traditional antiplatelet or thrombolysis therapy. Articles were retrieved from databases, including PubMed, Web of Science, EMBASE, and Cochrane. The risk of bias and certainty level of evidence were assessed. Fifteen studies were included. GP IIb/IIIa antagonists increased the proportion of patients with modified Rankin Scale (mRS) 0-1 (odd ratio [OR] 1.37, 95% confidence interval [CI] 1.04-1.81, p = 0.03), mRS 0-2 (OR 1.27, 95% CI 1.12-1.46, p = 0.0004), and Barthel Index (BI) 95-100 (OR 1.25, p = 0.005); decreased the proportion of stroke progression within 5 days (OR 0.66, p = 0.006); and lowered the mean mRS score at 90 days (mean difference [MD] -0.43, p = 0.002) and the National Institute of Health stroke scale score at 7 days (MD -1.64, p < 0.00001) compared with conventional treatment. Proportions of stroke recurrence within 90 days (OR 1.20, p = 0.60), any intracranial hemorrhage (aICH) (OR 1.20, p = 0.12), symptomatic intracranial hemorrhage (sICH) (OR 0.91, p = 0.88), and death (OR 0.87, p = 0.25) had no statistical difference between both groups. This meta-analysis finds that compared with traditional antiplatelet or thrombolysis therapy, GP IIb/IIIa antagonists administered within 24-96 h of ischemic stroke onset significantly improve functional prognosis of patients with AIS not receiving EVT, as indicated by mRS and BI at 90 days, and do not increase the incidence of aICH, sICH, and death.
RESUMO
OBJECTIVE: To develop a nomogram for predicting the occurrence of sepsis-associated delirium (SAD). MATERIALS AND METHODS: Data from a total of 642 patients were retrieved from the Medical Information Mart for Intensive Care (MIMIC III) database to build a prediction model. Multivariate logistic regression was performed to identify independent predictors and establish a nomogram to predict the occurrence of SAD. The performance of the nomogram was assessed in terms of discrimination and calibration by bootstrapping with 1000 resamples. RESULTS: Multivariate logistic regression identified 4 independent predictors for patients with SAD, including Sepsis-related Organ Failure Assessment(SOFA) (p = 0.004; OR: 1.131; 95% CI 1.040 to 1.231), mechanical ventilation (P < 0.001; OR: 3.710; 95% CI 2.452 to 5.676), phosphate (P = 0.047; OR: 1.165; 95% CI 1.003 to 1.358), and lactate (P = 0.023; OR: 1.135; 95% CI 1.021 to 1.270) within 24 h of intensive care unit (ICU) admission. The area under the curve (AUC) of the predictive model was 0.742 in the training set and 0.713 in the validation set. The Hosmer - Lemeshow test showed that the model was a good fit (p = 0.471). The calibration curve of the predictive model was close to the ideal curve in both the training and validation sets. The DCA curve also showed that the predictive nomogram was clinically useful. CONCLUSION: We constructed a nomogram for the personalized prediction of delirium in sepsis patients, which had satisfactory performance and clinical utility and thus could help clinicians identify patients with SAD in a timely manner, perform early intervention, and improve their neurological outcomes.
