To what extent does frailty mediate the association between age and the outcomes of brain reperfusion following acute ischemic stroke?

Objective: We evaluated the extent to which frailty mediated the association between age, poor functional outcomes, and mortality after acute ischemic stroke when patients were treated with brain reperfusion (thrombolytic therapy and/or thrombectomy). Materials and methods: This retrospective cohort study included patients diagnosed with ischemic stroke who had undergone intravenous cerebral reperfusion therapy and/or mechanical thrombectomy. We created a mediation model by analyzing the direct natural effect of an mRS score > 2 and death on age-mediated frailty according to the Frailty Index. Results: We enrolled 292 patients with acute ischemic stroke who underwent brain reperfusion. Their mean age was 67.7 ± 13.1 years. Ninety days after the stroke ictus, 54 (18.5%) participants died, and 83 (28.4%) lived with moderate to severe disability (2 < mRS < 6). In the mediation analysis of the composite outcome of disability (mRS score > 2) or death, frailty accounted for 28% of the total effect of age. The models used to test for the interaction between age and frailty did not show statistically significant interactions for either outcome, and the addition of the interaction did not significantly change the direct or indirect effects, nor did it improve model fit. Conclusion: Frailty mediated almost one-third of the effect of age on the composite outcome of disability or death after acute ischemic stroke.

Evaluating the performance of the PRISMA-7 frailty criteria for predicting disability and death after acute ischemic stroke.

OBJECTIVES: We aimed to evaluate the predictive performance of the PRISMA-7 frailty criteria regarding the composite outcome of disability or death in patients with an acute ischemic stroke, and to compare it with the Frailty Index and the National Institutes of Health Stroke Scale (NIHSS). MATERIALS AND METHODS: This prospective cohort study involved all patients aged ≥ 40 years admitted with an acute ischemic stroke between March 2019 and January 2020. We performed survival analyses, calculated risk ratios, sensitivity, specificity, and predictive values for the combined outcome of disability or death according to the presence of frailty as determined by the PRISMA-7 and the Frailty Index, and stroke severity based on the NIHSS. RESULTS: In 174 patients with acute ischemic stroke, being frail in the week before the stroke according to the PRISMA-7 was associated with a Risk Ratio of 4·50 (95%CI 1·77-11·43, P <0·001) and a Positive Predictive Value of 89% (95%CI 77-99%) for being disabled or dead 90 days after the stroke, and a Hazard Ratio of 3·33 (95%CI 1·48-7·51, P = 0·004) for the survival outcome. The predictive performance of the PRISMA-7 was not significantly different from the Frailty Index or the NIHSS. CONCLUSIONS: We provide evidence that the PRISMA-7 frailty criteria may be a useful prognostication tool in acute ischemic stroke.

Clinical and Functional Outcomes of Patients Receiving Cerebral Reperfusion Therapy: A Stroke Databank Study in Brazil.

Objectives: Cerebral reperfusion therapy is recommended for the treatment of acute ischemic stroke. However, the outcomes of patients receiving this therapy in middle- and low-income countries should be better defined. This study aimed to evaluate the clinical and functional outcomes of cerebral reperfusion therapy in patients with ischemic stroke. Materials and Methods: This retrospective study included patients with ischemic stroke treated with cerebral reperfusion therapy, including intravenous thrombolysis (IVT), mechanical thrombectomy (MT), and IVT with MT. The primary outcomes were death and disability, assessed using the modified Rankin scale (mRS), and stroke severity, assessed using the National Institutes of Health Stroke Scale (NIHSS), after intervention and 90 days after ictus. The association between the type of treatment and the primary outcome was assessed using binary logistic regression after adjusting for confounding variables. Furthermore, receiver operating characteristic (ROC) curves were generated to identify the cutoff point of the NIHSS score that could best discriminate the mRS score in all types of treatments. Results: Patients (n = 291) underwent IVT only (n = 241), MT (n = 21), or IVT with MT (n = 29). In the IVT with MT group, the incidence of death within 90 days increased by five times (OR, 5.192; 95% CI, 2.069-13.027; p = 0.000), prevalence of disability increased by three times (OR, 3.530; 95% CI, 1.376-9.055; p = 0.009) and NIHSS score increased after IVT (from 14.4 ± 6.85 to 17.8 ± 6.36; p = 0.045). There was no significant difference between the initial NIHSS score and that after MT (p = 0.989). Patients' NIHSS score that increased or decreased by 2.5 points had a sensitivity of 0.74 and specificity of 0.65, indicating severe disability or death in these patients. Conclusion: Altogether, a 2.5-point variation in NIHSS score after reperfusion is an indicator of worse outcomes. In our particular context, patients receiving the combination of IVT and MT had inferior results, which probably reflects challenges to optimize MT in LMIC.

Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept.

INTRODUCTION: To understand the current practices in stroke evaluation, the main clinical decision support system and artificial intelligence (AI) technologies need to be understood to assist the therapist in obtaining better insights about impairments and level of activity and participation in persons with stroke during rehabilitation. METHODS: This scoping review maps the use of AI for the functional evaluation of persons with stroke; the context involves any setting of rehabilitation. Data were extracted from CENTRAL, MEDLINE, EMBASE, LILACS, CINAHL, PEDRO Web of Science, IEEE Xplore, AAAI Publications, ACM Digital Library, MathSciNet, and arXiv up to January 2021. The data obtained from the literature review were summarized in a single dataset in which each reference paper was considered as an instance, and the study characteristics were considered as attributes. The attributes used for the multiple correspondence analysis were publication year, study type, sample size, age, stroke phase, stroke type, functional status, AI type, and AI function. RESULTS: Forty-four studies were included. The analysis showed that spasticity analysis based on ML techniques was used for the cases of stroke with moderate functional status. The techniques of deep learning and pressure sensors were used for gait analysis. Machine learning techniques and algorithms were used for upper limb and reaching analyses. The inertial measurement unit technique was applied in studies where the functional status was between mild and severe. The fuzzy logic technique was used for activity classifiers. CONCLUSION: The prevailing research themes demonstrated the growing utility of AI algorithms for stroke evaluation.

The Impact of Age on Mortality and Disability in Patients With Ischemic Stroke Who Underwent Cerebral Reperfusion Therapy: A Brazilian Cohort Study.

Introduction: The main driver for increased stroke prevalence is the aging of the population; however, the best evidenced-based strategies for stroke treatment and prevention are not always followed for older patients. Therefore, the aim was studying the association of age with clinical outcomes (mortality and functional disability) in stroke patients who underwent cerebral reperfusion therapy at hospital discharge and 90 days after ictus. Methods: This was a retrospective (stroke databank analysis) cohort study of participants who had been diagnosed with ischemic stroke and undergone intravenous cerebral reperfusion therapy or mechanical thrombectomy. The variable of interest was patient age, which was categorized into four groups: (1) up to 59 years; (2) 60 to 69 years; (3) 70 to 79 years old; and (4) above 79 years. The primary outcome was mortality at hospital discharge and 90 days after stroke, and the secondary outcome was functional capacity at hospital discharge and 90 days after stroke. Results: A total of 281 patients was included in the study (235 treated by thrombolysis alone, and 46 treated with mechanical thrombectomy). The mean age of the total sample was 67 ± 13.1 years. The oldest patients had the most unfavorable outcomes, except for mortality rate, at hospital discharge (mRS > 2; OR: 1.028; 95% CI 1.005 to 1.051; p = 0.017; mRS > 3; OR: 1.043, 95% CI 1.018 to 1.069; p = 0.001) and 90 days after stroke (mRS > 2; OR: 1.028; 95% CI 1.005 to 1.051; p = 0.017; mRS > 3; OR: 1.043, 95% CI 1.018 to 1.069; p = 0.001). Conclusion: Cerebral reperfusion was a viable treatment for ischemic stroke in both elderly and very elderly patients, as it did not increase mortality. However, it was observed that older individuals had worse functional outcomes at hospital discharge and 90 days after stroke.