Mcintoshcox3555
The current COVID-19 pandemic has recently brought to attention the myriad of neuro- logic sequelae associated with Coronavirus infection including the predilection for stroke, particularly in young patients. Reversible cerebral vasoconstriction syndrome (RCVS) is a well-described clinical syndrome leading to vasoconstriction in the intracra- nial vessels, and has been associated with convexity subarachnoid hemorrhage and oc- casionally cervical artery dissection. It is usually reported in the context of a trigger such as medications, recreational drugs, or the postpartum state; however, it has not been described in COVID-19 infection. We report a case of both cervical vertebral ar- tery dissection as well as convexity subarachnoid hemorrhage due to RCVS, in a pa- tient with COVID-19 infection and no other triggers.Aneurysmal subarachnoid hemorrhage (SAH) patients require frequent neurological examinations, neuroradiographic diagnostic testing and lengthy intensive care unit stay. Previously established SAH treatment protocols are impractical to impossible to adhere to in the current COVID-19 crisis due to the need for infection containment and shortage of critical care resources, including personal protective equipment (PPE). Centers need to adopt modified protocols to optimize SAH care and outcomes during this crisis. In this opinion piece, we assembled a multidisciplinary, multicenter team to develop and propose a modified guidance algorithm that optimizes SAH care and workflow in the era of the COVID-19 pandemic. This guidance is to be adapted to the available resources of a local institution and does not replace clinical judgment when faced with an individual patient.
Acute stroke unit (ASU) care is proven to reduce mortality and morbidity. During the COVID-19 crisis, established physical units and care practices within existing physical units are likely to be disrupted. Stroke patients with possible suspected COVID-19 infection may be isolated in other wards outside the ASU.
Our hospital developed an adapted ASU protocol which includes key elements for stroke unit care, can be utilized by staff not familiar with stroke care with minimal training and can be implemented in various settings.
The adapted protocol has 3 categories of Acute monitoring (neurological observations, blood pressure and input-output monitoring, investigations and specific post-reperfusion issues), Stroke complications (focusing on 5 common complications) and Unified team (describing daily check-ins, patient education, communication, discharge planning and post-discharge support).
Details are presented in the article in a format that it can be adopted by other centers facing similar issues in order to ensure ASU care is not compromised.
Details are presented in the article in a format that it can be adopted by other centers facing similar issues in order to ensure ASU care is not compromised.
Intracerebral hemorrhage, including symptomatic intracerebral hemorrhage, is a serious post-mechanical thrombectomy complication in patients with acute ischemic stroke. We aimed to determine whether glycosylated hemoglobin A1c parameters could predict intracerebral hemorrhage in this patient population.
We enrolled patients with acute occlusion of the internal carotid artery or proximal middle cerebral artery and who had undergone mechanical thrombectomy. According to the glycosylated hemoglobin A1c level (%) assessed during the hospital stay, the patients were divided into two groups > 6.5% and ≤ 6.5%. Intracerebral hemorrhage was evaluated and classified based on cranial computed tomography scans obtained within 24-48h or when neurological conditions worsened. We assessed the outcome at the end of 90 days using the modified Rankin Scale scores.
Among 202 patients, 86 (42.6%) suffered intracerebral hemorrhage, while 25 (12.4%) had symptomatic intracerebral hemorrhage; 35.6% of the patients had a favchemic stroke treated with mechanical thrombectomy. Further studies are needed to validate these findings.
The mechanism involved in progression of unruptured intracranial artery dissection (IAD) is poorly understood. We investigated the relationship between contrast enhancement of dissecting lesions on magnetic resonance vessel wall imaging (MR-VWI) and unruptured IAD progression on the hypothesis that this finding might predict its instability.
A total of 49 unruptured IADs were investigated retrospectively. Three-dimensional T1-weighted fast spin-echo sequences were obtained before and after injection of contrast medium, and the dissecting lesion/pituitary stalk contrast enhancement ratio (CR
) was calculated. Unruptured IAD progression was defined as morphological deterioration; progressive dilatation or stenosis. The relations between unruptured IAD progression and potential risk factors were statistically investigated.
Morphological deterioration was demonstrated in eleven of 49 unruptured IADs (22 %). The CR
value and male predominance was significantly higher in progressed IADs than stable ones (1.0 vs. 0.65; p = 0.0035, 82% vs 37%; p= 0.015, respectively). On stepwise multivariable logistic regression analysis, the CR
value was independently associated with unruptured IAD progression with odds ratio of 102.5 (95% CI, 2.59-4059, P=0.0013). The optimal cutoff value of CR
to estimate IADs with progression was 0.87 (sensitivity, 0.82; specificity, 0.74). Multimodalic images showed contrast enhancement on VWI corresponded to residual stagnant flow in dissecting lesions.
Quantitative analysis of contrast enhancement on VWI could predict instability of unruptured IADs. BAY-1816032 cell line Contrast enhancement in dissecting lesions would be a clue to understand the mechanism of unruptured IAD progression.
Quantitative analysis of contrast enhancement on VWI could predict instability of unruptured IADs. Contrast enhancement in dissecting lesions would be a clue to understand the mechanism of unruptured IAD progression.
Delayed cerebral ischemia is a serious complication of aneurysmal subarachnoid hemorrhage with debilitating and fatal consequences. Lack of well-established risk factors impedes early identification of high-risk patients with delayed cerebral ischemia. A nomogram provides personalized, evidence-based, and accurate risk estimation. To offset the lack of a predictive tool, we developed a nomogram to predict delayed cerebral ischemia before performing surgical interventions for aneurysmal subarachnoid hemorrhage to aid surgical decision-making.
We retrospectively collected data from 887 consecutive eligible Chinese patients who underwent surgical clipping or endovascular coiling for aneurysmal subarachnoid hemorrhage. Patients who previously underwent surgery formed the training cohort (n = 621) for nomogram development; those who underwent surgery later formed the validation cohort (n = 266) to confirm the performance of the model. A multivariate logistic regression analysis identified the independent risk factors associated with delayed cerebral ischemia, which were then incorporated into the nomogram.
