Background and purpose Tirofiban is used off‐label in clinical practice for acute ischaemic stroke (AIS). However, it is unknown whether tirofiban increases the bleeding risk or improves the outcome of endovascular treatment (EVT) in AIS. This study evaluated the efficacy and safety of tirofiban in combination with EVT for AIS. Methods Consecutive patients with AIS receiving EVT were included in the prospective stroke registry from 2015 to 2018. The efficacy outcomes were modified Rankin Scale (mRS) score at 3 months and National Institutes of Health Stroke Scale (NIHSS) score at 24 h. The safety outcomes were symptomatic intracerebral hemorrhage (sICH), any in‐hospital intracerebral hemorrhage, in‐hospital death and 3‐month death. Results Of 211 patients, 82 (38.9%) received tirofiban. A total of 39 (48.1%) with tirofiban and 44 (36.1%) without tirofiban had mRS score 0–2 [adjusted odds ratio (OR), 2.41; 95% confidence interval (CI), 1.11–5.23, P = 0.026]. NIHSS score at 24 h was lower in the tirofiban group (9.5 vs. 12.0, adjusted P = 0.032). Five (6.1%) patients with tirofiban and 16 (12.4%) without tirofiban had sICH (adjusted OR, 0.54; 95% CI, 0.16–1.83, P = 0.32). In‐hospital intracerebral hemorrhage occurred in 10 (12.2%) patients with tirofiban and 41 (31.8%) without tirofiban (adjusted OR, 0.32; 95% CI, 0.13–0.76, P = 0.01). In‐hospital death occurred in 7 (8.5%) patients with tirofiban and 16 (12.4%) without tirofiban (adjusted OR, 0.69; 95% CI, 0.22–2.13, P = 0.52). A total of 13 (15.9%) patients with tirofiban and 22 (17.1%) without tirofiban were dead at 3 months (adjusted OR, 0.98; 95% CI, 0.40–2.40, P = 0.96). Conclusions Tirofiban in combination with EVT was associated with a lower mRS score at 3 months and NIHSS score at 24 h. It was not associated with a higher rate of sICH, in‐hospital death and death at 3 months.

In acute ischemic stroke patients receiving intravenous recombinant tissue plasminogen activator therapy, prior antiplatelet agent use did not lead to a significant difference in functional outcome, although it significantly increased the risk of symptomatic intracranial hemorrhage. Recanalization rate was not different between two groups. In the subgroup analysis, prior clopidogrel mono therapy may not increase the risk of symptomatic intracranial hemorrhage, which will need further studies to confirm.

Background: For acute ischemic stroke (AIS) patient receiving mechanical thrombectomy (MT), renal dysfunction was an independent risk factor of contrast-induced nephropathy which may affect clinical outcomes. However, the influence of renal function on stroke outcomes is still controversial. Thus, we aim to investigate the association between renal function and outcomes of AIS patients receiving MT. Methods: All consecutive stroke patients receiving MT were included in a prospective stroke registry in China from April 2015 to February 2019. Estimated glomerular filtration rate (eGFR) was measured on admission and categorized into G1 (≥ 90 ml/min/1.73 m 2), G2 (60-89 ml/min/1.73 m 2), G3a (45-59 ml/min/1.73 m 2) and G3b-5 (≤44 ml/min/1.73 m 2). Multivariable logistic regression analysis was performed to evaluate the association between eGFR and recanalization rate (thrombolysis in cerebral infarction scale 2b-3), symptomatic intracranial hemorrhage (sICH), death in hospital, death at 3 months and poor functional outcome (modified Rankin Scale 3-6 at 3 months). Results: A total of 373 patients were included in the study. Of them, 130 (34.9%) patients were in the eGFR group G1, 170 (45.6%) in G2, 46 (12.3%) in G3a, 27 (7.2%) in G3b-5. In multivariable logistic regression analysis, reduced eGFR was associated with increased risk of sICH (G3a, p = 0.016) and 3-month death (G3b-5, p = 0.025). However, no significant effects were observed between reduced eGFR and the risk of recanalization rate (p = 0.855), death in hospital (p = 0.970), and poor functional outcome (p = 0.644). Conclusions: For AIS patients underwent MT, reduced eGFR was associated with increased risk of sICH and 3month death. However, there were no appreciable effects of reduced eGFR on recanalization rate, death in hospital and 3-month functional outcome.

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BackgroundEarly prediction of unfavorable outcome after ischemic stroke is of great significance to the clinical and therapeutic management. A nomogram is a better visual tool than earlier models and prognostic scores to predict clinical outcomes, which incorporates different factors to develop a graphic continuous scoring system and calculates accurately the risk probability of poor outcome entirely based on individual characteristics. However, to date, no nomogram models have been found to predict the probability of 6-month poor outcome after ischemic stroke. We aimed to develop and validate a nomogram for individualized prediction of the probability of 6-month unfavorable outcome in Chinese patients with ischemic stroke.MethodsBased on the retrospective stroke registry, a single-center study which included 499 patients from May, 2013 to May, 2018 was conducted in Nanjing First Hospital (China) for ischemic stroke within 12 h of symptoms onset. The main outcome measure was 6-month unfavorable outcome (mRS > 2). To generate the nomogram, NIHSS score on admission, Age, previous Diabetes mellitus and crEatinine (NADE) were integrated into the model. We assessed the discriminative performance by using the area under the curve (AUC) of receiver-operating characteristic (ROC) and calibration of risk prediction model by using the Hosmer–Lemeshow test.ResultsA visual NADE nomogram was constructed that NIHSS score on admission (OR: 1.190, 95%CI: 1.125–1.258), age (OR: 1.068, 95%CI: 1.045–1.090), previous diabetes mellitus (OR: 1.995, 95%CI: 1.236–3.221) and creatinine (OR: 1.010, 95%CI: 1.002–1.018) were found to be significant predictors of 6-month unfavorable outcome after acute ischemic stroke in Chinese patients. The AUC–ROC of nomogram was 0.791. Calibration was good (p = 0.4982 for the Hosmer–Lemeshow test).ConclusionThe NADE is the first nomogram developed and validated in Chinese ischemic stroke patients to provide an individual, visual and precise prediction of the risk probability of 6-month unfavorable outcome.