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Introduction: The COVID19 pandemic collapsed intensive care units (ICUs) all around the world, conditioning systems of care (SOC) for other critical conditions such as severe ischemic stroke requiring endovascular treatment (EVT). Our aim was to evaluate the impact of an adaptive Stroke Unit (SU) based SOC on functional outcomes, with the goal of avoiding both general anesthesia (GA) and ICU admission in stroke patients treated with EVT. Material and methods: We performed an observational study comparing data from our traditional ICU-GA based SOC and the adaptive SU-Conscious Sedation (CS) based SOC (consecutive patients undergoing EVT 1 year prior and after onset of the pandemic). Primary outcome was 90-days modified Rankin Scale (mRS), and secondary outcomes included, among others, in-hospital complications, and hospital length of stay (LOS). Results: A total of 210 EVT were performed during the study period (107 under the traditional-SOC and 103 under the adaptive-SOC). A significantly greater proportion of patient was treated under CS (15.9% vs 57.3%; p < 0.001) and admitted for post-procedural care at SU (15% vs 66%; p < 0.001) in the adaptive SOC. Rates of in-hospital complications were similar in both periods, with reduced hospital LOS in the adaptive SOC (10 (7-15) vs 8 (6-12); p = 0.005). The adaptive SOC was associated with higher odds for 90 days favorable outcome (mRS 0-2) (aOR 3.15 (1.34-7.39); p = 0.008). Conclusion: In our case, an adaptive SOC that combined both preference for CS and postprocedural care in SU was associated with better functional outcomes and reduced healthcare resource use for patients undergoing EVT.
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BACKGROUND AND PURPOSE: This study examined whether the 786 NOS3 polymorphism is associated with the risk of hemorrhagic transformation (HT) in stroke patients with anterior large vessel occlusion (ALVO) treated using endovascular thrombectomy (EVT). METHODS: We performed an observational cohort study that included 118 patients with ALVO who underwent EVT. HT was assessed in follow-up CT and MRI. HT and non-HT patients were compared in terms of the 786 NOS3 polymorphism, flow mediated dilation (FMD) values within 3 days after the stroke, and collateral status based on three grading scales. Demographics, vascular risk factors, additional radiological data including ASPECT score, thrombus length and infarct size, and EVT procedure and outcome variables were also included. RESULTS: Radiological HT occurred in 55 (46.6%) patients and the 786T/T NOS3 polymorphism was associated with HT (unadjusted OR of 2.33, 95%CI: 1.05-5.20, adjusted OR of 3.14, 95%CI: 1.16-8.54). Collateral status and systemic endothelial function assessed by FMD were not mediators of this relationship as no differences were seen in the median FMD percentage values or collateral status between NOS3 genotypes. CONCLUSIONS: Our results suggest that genetic variations affecting the NO pathway, such as the 786 NOS3 polymorphism, may contribute to individual variability in the occurrence of HT and these results support involvement of this pathway in the pathogenesis of ischemia-reperfusion injury after EVT.
Assuntos
Isquemia Encefálica , Acidente Vascular Cerebral , Humanos , Isquemia Encefálica/etiologia , Resultado do Tratamento , Trombectomia/efeitos adversos , Trombectomia/métodos , Acidente Vascular Cerebral/etiologia , Óxido Nítrico Sintase , Estudos RetrospectivosRESUMO
PURPOSE: Owing to the extent of lung collapse estimated on chest radiograph it is still the complementary test most commonly used in the management of patients with pneumothorax. There are several indices to assess the extent of lung collapse. The objective of this study was to develop a more accurate index, using the 3D printing technology. MATERIALS AND METHODS: We created physical hemithorax models using 3D printing. In this way, we obtained simple radiographs of models for which the lung volume was known accurately. In the first part of the study, we estimated the intraobserver and interobserver agreement as well as the agreement between methods. We created 2 new indices and the results obtained with these; the Light index and the Collins method were compared with data on real lung volume loss using linear regression analysis and by calculating the coefficient of determination (r2). In the second part of the study, we validated the 4 equations, comparing the Light index, the Collins method, and the 2 new indices using regression analysis. For this analysis, we used STATA V14. RESULTS: Both intraobserver and interobserver agreements were very high (<0.9). The agreement between the Collins method and the Light index was poor, with a mean difference of 18.6%. The equation that best represented real lung collapse was the new equation 2. CONCLUSIONS: This study demonstrates the poor agreement between the Light index and Collins method for measuring the extent of lung collapse in pneumothorax and proposes a more accurate equation for this measurement based on a simple chest radiograph.