Skeletal muscle atrophy and myosteatosis are not related to long-term aneurysmal subarachnoid hemorrhage outcome

The prognosis of aneurysmal subarachnoid hemorrhage (aSAH) is highly variable. This study aims to investigate whether skeletal muscle atrophy and myosteatosis are associated with poor outcome after aSAH. In this study, a cohort of 293 consecutive aSAH-patients admitted during a 4-year period was retrospectively analyzed. Cross-sectional muscle measurements were obtained at the level of the third cervical vertebra. Muscle atrophy was defined by a sex-specific cutoff value. Myosteatosis was defined by a BMI-specific cutoff value. Poor neurological outcome was defined as modified Rankin Scale 4–6 at 2 and 6-month follow-up. Patient survival state was checked until January 2021. Generalized estimating equation was performed to assess the effect of muscle atrophy / myosteatosis on poor neurological outcome after aSAH. Cox regression was performed to analyze the impact of muscle atrophy and myosteatosis on overall survival. The study found that myosteatosis was associated with poor neurological condition (WFNS 4–5) at admission after adjusting for covariates (odds ratio [OR] 2.01; 95%CI 1.05,3.83; P = .03). It was not associated with overall survival (P = .89) or with poor neurological outcomes (P = .18) when adjusted for other prognostic markers. Muscle atrophy was not associated with overall survival (P = .58) or neurological outcome (P = .32) after aSAH. In conclusion, myosteatosis was found to be associated with poor physical condition directly after onset of aSAH. Skeletal muscle atrophy and myosteatosis were however irrelevant to outcome in the Western-European aSAH patient. Future studies are needed to validate these finding

Collaborative social-epidemiology: A co-analysis of the cultural and structural determinants of health for Aboriginal youth in Victorian schools

Social-epidemiology that excludes Aboriginal voices often fails to capture the full and complex social worlds of Aboriginal people. Using data from an existing co-designed Victorian government Adolescent Health and Wellbeing Survey (2008/9), we worked with Aboriginal organizations to identify data priorities, select measures, interpret data, and contextualize findings. Using this participatory co-analysis approach, we selected "cultural" and "structural" determinants identified by Aboriginal organizations as important and modelled these using principal component analysis. Resulting components were then modelled using logistic regression to investigate associations with "likely being well" (Kessler-10 score < 20) for 88 Aboriginal adolescents aged 11-17 years. Principal component analysis grouped 11 structural variables into four components and 11 cultural variables into three components. Of these, "grew up in Aboriginal family/community and connected" associated with significantly higher odds of "likely being well" (OR = 2.26 (1.01-5.06), p = 0.046). Conversely, "institutionally imposed family displacement" had significantly lower odds (OR = 0.49 (0.24-0.97), p = 0.040) and "negative police contact and poverty" non-significantly lower odds (OR = 0.53 (0.26-1.06), p = 0.073) for "likely being well". Using a co-analysis participatory approach, the voices of Aboriginal researchers and Aboriginal organizations were able to construct a social world that aligned with their ways of knowing, doing, and being. Findings highlighted institutionally imposed family displacement, policing, and poverty as social sites for health intervention and emphasized the importance of strong Aboriginal families for adolescents

The Diagnostic Value of Near-Infrared Spectroscopy to Predict Delayed Cerebral Ischemia and Unfavorable Outcome After Subarachnoid Hemorrhage

OBJECTIVE: Near-infrared spectroscopy (NIRS) is a non-invasive tool to monitor cerebral regional oxygen saturation. Impairment of microvascular circulation with subsequent cerebral hypoxia during delayed cerebral ischemia (DCI) is associated with poor functional outcome after subarachnoid hemorrhage (SAH). Therefore, NIRS could be useful to predict the risk for DCI and functional outcome. However, only limited data is available on NIRS regional cerebral tissue oxygen saturation (rSO2) distribution in SAH. The aim of this study was to compare the distribution of NIRS rSO2 values in non-traumatic SAH patients with the occurrence of DCI and functional outcome at two months. In addition, the predictive value of NIRS rSO2 was compared with the previously validated SAFIRE grade (derived from Size of the aneurysm, Age, FIsher grade, world federation of neurosurgical societies after REsuscitation).METHODS: In this study, the rSO2 distribution of patient with and without DCI after SAH are compared. The optimal cutoff points to predict DCI and outcome are assessed, and its predictive value is compared to the SAFIRE grade.RESULTS: Out of 41 patients, 12 developed DCI, and 9 had unfavorable outcome at 60 days. Prediction of DCI with NIRS had an area under the curve (AUC) of 0.77 (95%CI 0.62-0.92; p=0.0028) with an optimal cutoff point of 65% (sensitivity 1.00; specificity 0.45). Prediction of favorable outcome with NIRS had an AUC of 0.86 (95%CI 0.74-0.98; p=0.0003) with an optimal cutoff point of 63% (sensitivity 1.00; specificity 0.63). Regression analysis showed that NIRS rSO2 score is complementary to the SAFIRE grade.CONCLUSION: NIRS rSO2 monitoring in patients with SAH may improve prediction of DCI and clinical outcome after SAH.</p

The Diagnostic Value of Near-Infrared Spectroscopy to Predict Delayed Cerebral Ischemia and Unfavorable Outcome After Subarachnoid Hemorrhage

OBJECTIVE: Near-infrared spectroscopy (NIRS) is a non-invasive tool to monitor cerebral regional oxygen saturation. Impairment of microvascular circulation with subsequent cerebral hypoxia during delayed cerebral ischemia (DCI) is associated with poor functional outcome after subarachnoid hemorrhage (SAH). Therefore, NIRS could be useful to predict the risk for DCI and functional outcome. However, only limited data is available on NIRS regional cerebral tissue oxygen saturation (rSO2) distribution in SAH. The aim of this study was to compare the distribution of NIRS rSO2 values in non-traumatic SAH patients with the occurrence of DCI and functional outcome at two months. In addition, the predictive value of NIRS rSO2 was compared with the previously validated SAFIRE grade (derived from Size of the aneurysm, Age, FIsher grade, world federation of neurosurgical societies after REsuscitation).METHODS: In this study, the rSO2 distribution of patient with and without DCI after SAH are compared. The optimal cutoff points to predict DCI and outcome are assessed, and its predictive value is compared to the SAFIRE grade.RESULTS: Out of 41 patients, 12 developed DCI, and 9 had unfavorable outcome at 60 days. Prediction of DCI with NIRS had an area under the curve (AUC) of 0.77 (95%CI 0.62-0.92; p=0.0028) with an optimal cutoff point of 65% (sensitivity 1.00; specificity 0.45). Prediction of favorable outcome with NIRS had an AUC of 0.86 (95%CI 0.74-0.98; p=0.0003) with an optimal cutoff point of 63% (sensitivity 1.00; specificity 0.63). Regression analysis showed that NIRS rSO2 score is complementary to the SAFIRE grade.CONCLUSION: NIRS rSO2 monitoring in patients with SAH may improve prediction of DCI and clinical outcome after SAH.</p

The Diagnostic Value of Near-Infrared Spectroscopy to Predict Delayed Cerebral Ischemia and Unfavorable Outcome After Subarachnoid Hemorrhage

OBJECTIVE: Near-infrared spectroscopy (NIRS) is a non-invasive tool to monitor cerebral regional oxygen saturation. Impairment of microvascular circulation with subsequent cerebral hypoxia during delayed cerebral ischemia (DCI) is associated with poor functional outcome after subarachnoid hemorrhage (SAH). Therefore, NIRS could be useful to predict the risk for DCI and functional outcome. However, only limited data is available on NIRS regional cerebral tissue oxygen saturation (rSO2) distribution in SAH. The aim of this study was to compare the distribution of NIRS rSO2 values in non-traumatic SAH patients with the occurrence of DCI and functional outcome at two months. In addition, the predictive value of NIRS rSO2 was compared with the previously validated SAFIRE grade (derived from Size of the aneurysm, Age, FIsher grade, world federation of neurosurgical societies after REsuscitation).METHODS: In this study, the rSO2 distribution of patient with and without DCI after SAH are compared. The optimal cutoff points to predict DCI and outcome are assessed, and its predictive value is compared to the SAFIRE grade.RESULTS: Out of 41 patients, 12 developed DCI, and 9 had unfavorable outcome at 60 days. Prediction of DCI with NIRS had an area under the curve (AUC) of 0.77 (95%CI 0.62-0.92; p=0.0028) with an optimal cutoff point of 65% (sensitivity 1.00; specificity 0.45). Prediction of favorable outcome with NIRS had an AUC of 0.86 (95%CI 0.74-0.98; p=0.0003) with an optimal cutoff point of 63% (sensitivity 1.00; specificity 0.63). Regression analysis showed that NIRS rSO2 score is complementary to the SAFIRE grade.CONCLUSION: NIRS rSO2 monitoring in patients with SAH may improve prediction of DCI and clinical outcome after SAH.</p

The Diagnostic Value of Near-Infrared Spectroscopy to Predict Delayed Cerebral Ischemia and Unfavorable Outcome After Subarachnoid Hemorrhage

OBJECTIVE: Near-infrared spectroscopy (NIRS) is a non-invasive tool to monitor cerebral regional oxygen saturation. Impairment of microvascular circulation with subsequent cerebral hypoxia during delayed cerebral ischemia (DCI) is associated with poor functional outcome after subarachnoid hemorrhage (SAH). Therefore, NIRS could be useful to predict the risk for DCI and functional outcome. However, only limited data is available on NIRS regional cerebral tissue oxygen saturation (rSO2) distribution in SAH. The aim of this study was to compare the distribution of NIRS rSO2 values in non-traumatic SAH patients with the occurrence of DCI and functional outcome at two months. In addition, the predictive value of NIRS rSO2 was compared with the previously validated SAFIRE grade (derived from Size of the aneurysm, Age, FIsher grade, world federation of neurosurgical societies after REsuscitation).METHODS: In this study, the rSO2 distribution of patient with and without DCI after SAH are compared. The optimal cutoff points to predict DCI and outcome are assessed, and its predictive value is compared to the SAFIRE grade.RESULTS: Out of 41 patients, 12 developed DCI, and 9 had unfavorable outcome at 60 days. Prediction of DCI with NIRS had an area under the curve (AUC) of 0.77 (95%CI 0.62-0.92; p=0.0028) with an optimal cutoff point of 65% (sensitivity 1.00; specificity 0.45). Prediction of favorable outcome with NIRS had an AUC of 0.86 (95%CI 0.74-0.98; p=0.0003) with an optimal cutoff point of 63% (sensitivity 1.00; specificity 0.63). Regression analysis showed that NIRS rSO2 score is complementary to the SAFIRE grade.CONCLUSION: NIRS rSO2 monitoring in patients with SAH may improve prediction of DCI and clinical outcome after SAH.</p

The Diagnostic Value of Near-Infrared Spectroscopy to Predict Delayed Cerebral Ischemia and Unfavorable Outcome After Subarachnoid Hemorrhage

OBJECTIVE: Near-infrared spectroscopy (NIRS) is a non-invasive tool to monitor cerebral regional oxygen saturation. Impairment of microvascular circulation with subsequent cerebral hypoxia during delayed cerebral ischemia (DCI) is associated with poor functional outcome after subarachnoid hemorrhage (SAH). Therefore, NIRS could be useful to predict the risk for DCI and functional outcome. However, only limited data is available on NIRS regional cerebral tissue oxygen saturation (rSO2) distribution in SAH. The aim of this study was to compare the distribution of NIRS rSO2 values in non-traumatic SAH patients with the occurrence of DCI and functional outcome at two months. In addition, the predictive value of NIRS rSO2 was compared with the previously validated SAFIRE grade (derived from Size of the aneurysm, Age, FIsher grade, world federation of neurosurgical societies after REsuscitation).METHODS: In this study, the rSO2 distribution of patient with and without DCI after SAH are compared. The optimal cutoff points to predict DCI and outcome are assessed, and its predictive value is compared to the SAFIRE grade.RESULTS: Out of 41 patients, 12 developed DCI, and 9 had unfavorable outcome at 60 days. Prediction of DCI with NIRS had an area under the curve (AUC) of 0.77 (95%CI 0.62-0.92; p=0.0028) with an optimal cutoff point of 65% (sensitivity 1.00; specificity 0.45). Prediction of favorable outcome with NIRS had an AUC of 0.86 (95%CI 0.74-0.98; p=0.0003) with an optimal cutoff point of 63% (sensitivity 1.00; specificity 0.63). Regression analysis showed that NIRS rSO2 score is complementary to the SAFIRE grade.CONCLUSION: NIRS rSO2 monitoring in patients with SAH may improve prediction of DCI and clinical outcome after SAH.</p

The Diagnostic Value of Near-Infrared Spectroscopy to Predict Delayed Cerebral Ischemia and Unfavorable Outcome After Subarachnoid Hemorrhage

OBJECTIVE: Near-infrared spectroscopy (NIRS) is a non-invasive tool to monitor cerebral regional oxygen saturation. Impairment of microvascular circulation with subsequent cerebral hypoxia during delayed cerebral ischemia (DCI) is associated with poor functional outcome after subarachnoid hemorrhage (SAH). Therefore, NIRS could be useful to predict the risk for DCI and functional outcome. However, only limited data is available on NIRS regional cerebral tissue oxygen saturation (rSO2) distribution in SAH. The aim of this study was to compare the distribution of NIRS rSO2 values in non-traumatic SAH patients with the occurrence of DCI and functional outcome at two months. In addition, the predictive value of NIRS rSO2 was compared with the previously validated SAFIRE grade (derived from Size of the aneurysm, Age, FIsher grade, world federation of neurosurgical societies after REsuscitation).METHODS: In this study, the rSO2 distribution of patient with and without DCI after SAH are compared. The optimal cutoff points to predict DCI and outcome are assessed, and its predictive value is compared to the SAFIRE grade.RESULTS: Out of 41 patients, 12 developed DCI, and 9 had unfavorable outcome at 60 days. Prediction of DCI with NIRS had an area under the curve (AUC) of 0.77 (95%CI 0.62-0.92; p=0.0028) with an optimal cutoff point of 65% (sensitivity 1.00; specificity 0.45). Prediction of favorable outcome with NIRS had an AUC of 0.86 (95%CI 0.74-0.98; p=0.0003) with an optimal cutoff point of 63% (sensitivity 1.00; specificity 0.63). Regression analysis showed that NIRS rSO2 score is complementary to the SAFIRE grade.CONCLUSION: NIRS rSO2 monitoring in patients with SAH may improve prediction of DCI and clinical outcome after SAH.</p

Gestión del conocimiento. Perspectiva multidisciplinaria. Volumen 3

El libro “Gestión del Conocimiento. Perspectiva Multidisciplinaria”, de la colección Unión global, es una publicación internacional, seriada, continua, arbitrada de acceso abierto a todas las áreas del conocimiento, es el esfuerzo de investigadores de varios países del mundo, orientada a contribuir con procesos de gestión del conocimiento científico, tecnológico y humanístico que consoliden la transformación del conocimiento en diferentes escenarios, tanto organizacionales como universitarios, para el desarrollo de habilidades cognitivas del quehacer diario. En este sentido, se presenta a la comunidad internacional el libro Gestión del Conocimiento. Perspectiva Multidisciplinaria Volumen 3, con aportes teóricos y prácticos de autores, cuyos resultados de trabajos de investigación, son análisis de diversas teorías, propuestas, enfoques y experiencias sobre el tema de gestión del conocimiento, lo cual permite el posicionamiento de las organizaciones en la utilización del conocimiento, su apropiación y transformación. Los conceptos o criterios emitidos en cada capítulo del libro, son responsabilidad exclusiva de sus autores