A novel nomogram to predict hemorrhagic transformation in ischemic stroke patients after intravenous thrombolysis

Serum Uric Acid Levels and Outcome of Acute Ischemic Stroke: a Dose-Response Meta-analysis

Previous meta-analyses have reported conflicting results regarding the relationship between baseline uric acid (UA) levels and acute ischemic stroke (AIS) outcomes. Therefore, we conducted a dose-response meta-analysis to elucidate the association's strength and shape. Studies on the association between baseline UA levels and AIS outcomes in the PubMed and EMBASE databases were searched from their inception to April 17, 2023. Two researchers independently reviewed the studies for inclusion. A total of 23 articles involving 15,733 patients with AIS were included. The analysis revealed a significant inverse correlation between UA levels and AIS outcomes. The linear trend estimation indicated that a 50-μmol/L increment in UA level was associated with a 21.7% lower risk of hemorrhagic transformation (odds ratio [OR]: 0.783; 95% confidence interval [CI]: 0.743, 0.826; I2 = 43.4%; n = 4), 7.0% lower risk of 90-day unfavorable outcome [modified Rankin scale score ≥ 2] (OR: 0.930; 95% CI: 0.875, 0.990; I2 = 0%; n = 3), and 7.5% lower risk of 90-day poor outcome [modified Rankin scale score ≥ 3] (OR: 0.925; 95% CI: 0.863, 0.990; I2 = 74.4%; n = 3) in patients with AIS after accounting for relevant covariates. A linear dose-response relationship exists between baseline UA levels and the outcome of patients with AIS within a certain range, with higher baseline UA levels associated with better outcomes after AIS. Further dose-response meta-analyses, including a larger number of original articles, are required to validate our findings.

Risk prediction models for intracranial hemorrhage in acute ischemic stroke patients receiving intravenous alteplase treatment: a systematic review

Objectives

To identify and compare published models that use related factors to predict the risk of intracranial hemorrhage (ICH) in acute ischemic stroke patients receiving intravenous alteplase treatment.

Methods

Risk prediction models for ICH in acute ischemic stroke patients receiving intravenous alteplase treatment were collected from PubMed, Embase, Web of Science, and the Cochrane Library up to April 7, 2023. A meta-analysis was performed using Stata 13.0, and the included models were evaluated using the Prediction Model Risk of Bias Assessment Tool (PROBAST).

Results

A total of 656 references were screened, resulting in 13 studies being included. Among these, one was a prospective cohort study. Ten studies used internal validation; five studies used external validation, with two of them using both. The area under the receiver operating characteristic (ROC) curve for subjects reported in the models ranged from 0.68 to 0.985. Common predictors in the prediction models include National Institutes of Health Stroke Scale (NIHSS) (OR = 1.17, 95% CI 1.09-1.25, p < 0.0001), glucose (OR = 1.54, 95% CI 1.09-2.17, p < 0.05), and advanced age (OR = 1.50, 95% CI 1.15-1.94, p < 0.05), and the meta-analysis shows that these are independent risk factors. After PROBAST evaluation, all studies were assessed as having a high risk of bias but a low risk of applicability concerns.

Conclusion

This study systematically reviews available evidence on risk prediction models for ICH in acute ischemic stroke patients receiving intravenous alteplase treatment. Few models have been externally validated, while the majority demonstrate significant discriminative power.