RESUMEN

INTRODUCTION: Door-to-needle time (DNT) is a key factor in acute stroke treatment success. We retrospectively analysed the effects of a new protocol aimed at reducing treatment delays in our single-centre observational series over a 1-year period (from October 1st 2021 to September 30th 2022). METHODS: The time frame was divided into two semesters as a new protocol was started at the beginning of the second semester to ensure a rapid evaluation, imaging, and intravenous thrombolysis in all stroke patients attending our spoke-hospital serving 200,000 inhabitants. Logistics and outcome measures were obtained for each patient and compared before and after implementation of the new protocol. RESULTS: A total of 215 patients with ischemic stroke attended our hospital within a 1-year period (109 in the first semester, 96 in the second semester). Seventeen percent and 21% of all patients underwent acute stroke thrombolysis in the first and second semesters, respectively. DNTs were strongly reduced in the second semester (from 90 to 55 min), bringing this value below the Italian and European benchmarks. This resulted in better short-term outcomes (an average of 20%) as measured by both Δ NIHSS scores at 24 h and at discharge with respect to baseline.

Asunto(s)

Accidente Cerebrovascular , Terapia Trombolítica , Humanos , Niño , Terapia Trombolítica/métodos , Estudios Retrospectivos , Benchmarking , Accidente Cerebrovascular/tratamiento farmacológico , Hospitales , Resultado del Tratamiento , Tiempo de Tratamiento , Fibrinolíticos , Activador de Tejido Plasminógeno/uso terapéutico

RESUMEN

BACKGROUND: The exosomal miRNAs have been emerged as biomarkers and therapeutic targets for various diseases, however, the function of exosomal miRNAs in stroke remains largely unknown. METHODS: The blood samples from acute ischemic stroke (AIS) patients and normal controls were collected. The exosomes were isolated from the blood samples, which were confirmed by electron microscopy and western blot with the specific exosomes biomarker CD9, CD63 and Tsg101. RESULTS: RT-qPCR analysis showed that exosomal miR-134 was significantly increased in AIS patients within 24 h after stroke onset compared with that of control group. Highly expressed exosomal miR-134 was correlated with the National Institutes of Health Stroke Scale (NIHSS) scores, infarct volume and positively associated with the worse prognosis of the stroke patients. Additionally, the exosomal miR-134 was strong positively correlated with the expression of serum interleukin 6 (IL-6) and plasma high-sensitivity C relative protein (hs-CRP). The receiver operating characteristic (ROC) curve suggested that miR-134 might be a potential factor to discriminate AIS patients from non-stroke controls. CONCLUSIONS: The exosomal miR-134 as a possible novel biomarker for the diagnosis and prognosis of stroke.

Asunto(s)

Biomarcadores/sangre , MicroARNs/sangre , Accidente Cerebrovascular/sangre , Anciano , Exosomas , Femenino , Humanos , Interleucina-6/sangre , Masculino , Persona de Mediana Edad , Pronóstico , Curva ROC , Sensibilidad y Especificidad , Accidente Cerebrovascular/diagnóstico , Estados Unidos

RESUMEN

BACKGROUND AND AIM: The availability and access of hospital administrative data [coding for Charlson comorbidity index (CCI)] in large data form has resulted in a surge of interest in using this information to predict mortality from stroke. The aims of this study were to determine the minimum clinical data set to be included in models for predicting disability after ischemic stroke adjusting for CCI and clinical variables and to evaluate the impact of CCI on prediction of outcome. METHOD: We leverage anonymized clinical trial data in the Virtual International Stroke Trials Archive. This repository contains prospective data on stroke severity and outcome. The inclusion criteria were patients with available stroke severity score such as National Institutes of Health Stroke Scale (NIHSS), imaging data, and outcome disability score such as 90-day Rankin Scale. We calculate CCI based on comorbidity data in this data set. For logistic regression, we used these calibration statistics: Nagelkerke generalised R2 and Brier score; and for discrimination we used: area under the receiver operating characteristics curve (AUC) and integrated discrimination improvement (IDI). The IDI was used to evaluate improvement in disability prediction above baseline model containing age, sex, and CCI. RESULTS: The clinical data among 5,206 patients (55% males) were as follows: mean age 69 ± 13 years, CCI 4.2 ± 0.8, and median NIHSS of 12 (IQR 8, 17) on admission and 9 (IQR 5, 15) at 24 h. In Model 2, adding admission NIHSS to the baseline model improved AUC from 0.67 (95% CI 0.65-0.68) to 0.79 (95% CI 0.78-0.81). In Model 3, adding 24-h NIHSS to the baseline model resulted in substantial improvement in AUC to 0.90 (95% CI 0.89-0.91) and increased IDI by 0.23 (95% CI 0.22-0.24). Adding the variable recombinant tissue plasminogen activator did not result in a further change in AUC or IDI to this regression model. In Model 3, the variable NIHSS at 24 h explains 87.3% of the variance of Model 3, follow by age (8.5%), comorbidity (3.7%), and male sex (0.5%). CONCLUSION: Our results suggest that prediction of disability after ischemic stroke should at least include 24-h NIHSS and age. The variable CCI is less important for prediction of disability in this data set.