Impact of a Hospitalist Co-Management Program on Medical Complications and Length of Stay in Neurosurgical Patients.

BACKGROUND: The impact of co-management on clinical outcomes in neurosurgical patients is uncertain. This study aims to describe the implementation of a hospitalist co-management program in a neurosurgery department and its impact on the incidence of complications, mortality, and length of stay. METHODS: The authors used a quasi-experimental study design that compared a historical control period (July-December 2017) to a prospective intervention arm. During the intervention period, patients admitted to a neurosurgery inpatient unit who were older than 65 years, suffered certain conditions, or were admitted from ICUs were included in the co-management program. Two hospitalists joined the surgical staff and intervened in the diagnostic and therapeutical plan of patients, participating in clinical decisions and coordinating patient navigation with neurosurgeons. The incidence of moderate or severe complications measured by the Accordion Severity Grading System, in-hospital mortality, and length of stay of the two cohorts were compared. Multivariate regression was used to adjust for confounders, and the average treatment effect was estimated using inverse probability of treatment weighting. RESULTS: The adjusted incidence of moderate or severe complications was lower among co-managed patients (odds ratio [OR] 0.60, 95% confidence interval [CI] 0.39-0.91). Mortality was unchanged (OR 0.83, 95% CI 0.15-4.17). Length of stay was lower in co-managed patients, with a 1.3-day reduction observed after inverse probability of treatment weighting analysis. CONCLUSION: Hospitalist co-management was associated with a reduced incidence of complications and length of stay in neurosurgical patients, but there was no difference in in-hospital mortality.

Binocular microscopes versus exoscopes: Experiences and performance in simulated otologic surgery.

Objectives: Exoscopes represent a promising alternative to conventional binocular microscopes (OM) in otology offering potential advantages such as enhanced ergonomics and a more compact device design. While previous research has demonstrated the effectiveness of exoscopes in various surgical specialties, their objective assessment in the field of otology remains limited. Therefore, this investigation aims to assess task-based efficiency associated with exoscopes in the field of otology by use of simulated surgical models. Methods: A prospective cross-over study design was used to compare an OM to an exoscope in otolaryngology residents and medical students. Participants performed five tasks on 3D-printed ear models using both the exoscope and OM. Data collection included completion time, frequency of predefined errors, mental effort, and user experience. Subgroup analysis was performed based on level of experience. Results: Fourteen students and fifteen residents participated. Participants completed four of five tasks faster with the OM and there was no difference in number of errors committed. When separated by surgical experience, residents performed four of five tasks faster using the OM while students completed one of five tasks faster with the OM. Students committed more errors with the exoscope for one task with no difference in errors for residents. There was no difference in perceived difficulty performing tasks with either visualization system. Exit survey results showed more favorable opinions of the OM among residents and more favorable opinions of the exoscope among students. Conclusions: The exoscope permits successful performance in simulated otologic tasks. Task performance and user experience between operative microscopes and exoscopes differ based on level of surgical experience. Level of Evidence: 2.

Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI.

The globally accepted surgical strategy in glioblastomas is removing the enhancing tumor. However, the peritumoral region harbors infiltration areas responsible for future tumor recurrence. This study aimed to evaluate a predictive model that identifies areas of future recurrence using a voxel-based radiomics analysis of magnetic resonance imaging (MRI) data. This multi-institutional study included a retrospective analysis of patients diagnosed with glioblastoma who underwent surgery with complete resection of the enhancing tumor. Fifty-five patients met the selection criteria. The study sample was split into training (N = 40) and testing (N = 15) datasets. Follow-up MRI was used for ground truth definition, and postoperative structural multiparametric MRI was used to extract voxel-based radiomic features. Deformable coregistration was used to register the MRI sequences for each patient, followed by segmentation of the peritumoral region in the postoperative scan and the enhancing tumor in the follow-up scan. Peritumoral voxels overlapping with enhancing tumor voxels were labeled as recurrence, while non-overlapping voxels were labeled as nonrecurrence. Voxel-based radiomic features were extracted from the peritumoral region. Four machine learning-based classifiers were trained for recurrence prediction. A region-based evaluation approach was used for model evaluation. The Categorical Boosting (CatBoost) classifier obtained the best performance on the testing dataset with an average area under the curve (AUC) of 0.81 ± 0.09 and an accuracy of 0.84 ± 0.06, using region-based evaluation. There was a clear visual correspondence between predicted and actual recurrence regions. We have developed a method that accurately predicts the region of future tumor recurrence in MRI scans of glioblastoma patients. This could enable the adaptation of surgical and radiotherapy treatment to these areas to potentially prolong the survival of these patients.

Comparación de dos tipos de clasificación en dispepsia funcional; distrés postprandial o dolor epigástrico vs. un análisis multidimensional por conglomerados utilizando aprendizaje no supervisado

Los métodos de inteligencia artificial utilizando herramientas de aprendizaje no supervisado pueden apoyar la resolución de problemas al establecer patrones de agrupación o clasificación no identificados, que permiten tipificar subgrupos para manejos más individualizados. Existen pocos estudios que permiten conocer la influencia de síntomas digestivos y extradigestivos en la tipificación dispepsia funcional; esta investigación realizó un análisis de aprendizaje no supervisado por conglomerados basándose en dichos síntomas, para discriminar subtipos de dispepsia y comparar con una de las clasificaciones actualmente más aceptadas. Se realizó un análisis exploratorio de conglomerados en adultos con dispepsia funcional según síntomas digestivos, extradigestivos y emocionales. Se conformaron patrones de agrupación de tal manera que dentro de cada grupo existiera homogeneidad en cuanto a los valores adoptados por cada variable. El método de análisis de conglomerados fue bietápico y los resultados del patrón de clasificación se compararon con una de las clasificaciones más aceptadas de dispepsia funcional. De 184 casos, 157 cumplieron con criterios de inclusión. El análisis de conglomerados excluyó 34 casos no clasificables. Los pacientes con dispepsia de tipo 1 (conglomerado uno), presentaron mejoría al tratamiento en el 100% de los casos, solo una minoría presentaron síntomas depresivos. Los pacientes con dispepsia de tipo 2 (conglomerado dos) presentaron una mayor probabilidad de falla al tratamiento con inhibidor de bomba de protones, padecieron con mayor frecuencia trastornos de sueño, ansiedad, depresión, fibromialgia, limitaciones físicas o dolor crónico de naturaleza no digestiva. Esta clasificación de dispepsia por análisis de clúster establece una visión más holística de la dispepsia en la cual características extradigestivas, síntomas afectivos, presencia o no de trastornos de sueño y de dolor crónico permiten discriminar el comportamiento y respuesta al manejo de primera línea.

Artificial intelligence methods using unsupervised learning tools can support problem solving by establishing unidentified grouping or classification patterns that allow typing subgroups for more individualized management. There are few studies that allow us to know the influence of digestive and extra-digestive symptoms in the classification of functional dyspepsia. This research carried out a cluster unsupervised learning analysis based on these symptoms to discriminate subtypes of dyspepsia and compare with one of the currently most accepted classifications. An exploratory cluster analysis was carried out in adults with functional dyspepsia according to digestive, extra-digestive and emotional symptoms. Grouping patterns were formed in such a way that within each group there was homogeneity in terms of the values adopted by each variable. The cluster analysis method was two-stage and the results of the classification pattern were compared with one of the most accepted classifications of functional dyspepsia. Of 184 cases, 157 met the inclusion criteria. The cluster analysis excluded 34 unclassifiable cases. Patients with type 1 dyspepsia (cluster one) presented improvement after treatment in 100% of cases, only a minority presented depressive symptoms. Patients with type 2 dyspepsia (cluster two) presented a higher probability of failure to treatment with proton pump inhibitor, suffered more frequently from sleep disorders, anxiety, depression, fibromyalgia, physical limitations or chronic pain of a non-digestive nature. This classification of dyspepsia by cluster analysis establishes a more holistic vision of dyspepsia in which extradigestive characteristics, affective symptoms, presence or absence of sleep disorders and chronic pain allow discriminating behavior and response to first-line management.

Task synergies in neurovascular surgery: Image-guided navigation using a thermoplastic facial mask for the resection of a symptomatic occult to MRI brain microarteriovenous malformation.

Due to the size of microarteriovenous malformations (mAVM), its precise angioarchitecture description often requires a supraselective DSA and detecting the nidus during microsurgical resection is challenging. An accurate intraoperative navigation system is desirable but available softwares which can combine DSA and MRI are not always available. The authors present here a technical note describing the use of a stereotactic thermoplastic mask with a fiducial box to guide the resection of a mAVM.

Las relaciones entre prosodia y comprensión lectora en alumnos hispanohablantes: revisión sistemática y metaanálisis / Relations between prosody and reading comprehension in Spanish-speaking students: systematic review and meta-analysis

Resumen La fluidez ha sido considerada como uno de los factores relevantes que interviene en la comprensión lectora. Actualmente se incluye en la fluidez, además de la velocidad y la precisión, la prosodia como uno de los componentes que actúa de forma preponderante en la construcción del significado de la lectura. El propósito de este estudio fue realizar una revisión sistemática y un metaanálisis para determinar, por un lado, la situación de la agenda investigativa en la materia y, por el otro, mensurar la magnitud de la relación entre prosodia y comprensión lectora en alumnos hablantes nativos del español. Se realizó para ello un rastreo bibliográfico en las bases de datos Dialnet, Redalyc, SciELO, ERIC, Scopus y PubMed, sin restricciones temporales. En la revisión sistemática se incluyeron 18 estudios. Con los estudios correlacionales (n = 12) se llevó a cabo un metaanálisis multinivel, en el que se examinaron 59 coeficientes de correlación. El análisis mostró una asociación significativa entre prosodia y comprensión lectora (t(58) = 9.77, p < .001) con un efecto moderado de .46 (Z de Fisher = .49 [95 % CI = .39, .59]). Ni el nivel escolar al que asisten los alumnos (primario o secundario), ni el nivel en el que se evaluó la comprensión (oración o texto) moderaron la relación entre las variables. En suma, los resultados sostienen que las habilidades prosódicas contribuyen al procesamiento semántico de las oraciones y textos en español, más allá del nivel educativo del que se trate.

Abstract Fluency has been considered one of the relevant factors involved in reading comprehension, by providing a bridge between decoding and comprehension. At present, fluency includes, alongside rate and accuracy, prosody as one the parts which plays a preponderant role in the construction of meaning during the reading process. Prosodic reading is the use of oral language features when reading a text, such as pausing, stress and intonation, in order that the text will be read aloud with the tonal and rhythmic characteristics of speech. Furthermore, prosodic reading makes it possible to organize word sequences into syntactically cohesive units of meaning. The aim of this study was to conduct a systematic review and meta-analysis, firstly, in order to determine the situation of research articles which enquire into the relation between prosody and reading comprehension, and secondly, to measure the significance of that relation in students who are native speakers of Spanish. To that end, a bibliographic search was performed without time restrictions in the following databases: Dialnet, Redalyc, SciELO, ERIC, Scopus and PubMed. The systematic review included 18 studies. The qualitative synthesis showed four categories of articles: (1) validation studies of instruments to assess reading fluency; (2) intervention studies on different prosodic aspects and enquiries into their impact on reading comprehension; (3) comparisons of good and poor comprehenders; and (4) correlational studies. A multilevel meta-analysis was performed in the correlational studies (n = 12), examining 59 correlation coefficients. The analysis showed a significant association between reading comprehension and prosody (t(58) = 9.77, p < .001) with a moderate effect of .46 (z = .49 [95 % CI = .39, .59]). Once outlier values had been removed, no variation was found in the size of the estimated effect (r = .46). Two additional models were adjusted, including as moderating variables, respectively, the type of assessment performed on comprehension (sentence or text level) and the educational level (primary or secondary). The results obtained from these models suggest the association between comprehension and prosody is neither moderated by the type of assessment carried out (F(1, 57) = 1.51, ρ = .22), nor by the educational level (F(1, 57) = 0.10, ρ = .75). In summary, the meta-analysis showed a moderate relation between prosody and reading comprehension. These relations continued beyond the level at which the latter variable (sentence or text) was examined, and throughout the school trajectory. In other words, and in contrast to other aspects of fluency, such as accuracy and rate, prosody seems to maintain its contribution to comprehension. In sum, the findings support the claim that suprasegmental skills, both at lexical level (i. e. the skills related to the identification, stress and manipulation of stressed syllables in words) and at metrical level (the capabilities responsible for processing intonation, rhythm and pausing when reading), contribute to the semantic processing of sentences and texts in Spanish, regardless of the educational level under analysis. These results should be moderated given the limited number of studies found and the smaller amount of research carried out at secondary school level. In spite of these limitations, the relationships observed among the variables studied support the importance of prosodic reading to psychoeducational diagnosis and intervention in reading comprehension, and they provide significant background for future research.

The Use of Antioxidants in the Prevention and Treatment of Noise-Induced Hearing Loss.

As of today, there are no therapeutic measures for the prevention or treatment of noise-induced hearing loss (NIHL). The current preventative measures, including avoidance and personal protective hearing equipment, do not appear to be sufficient because there is an increasing number of people with NIHL, especially in the adolescent population. Therefore, we must find a therapy that prevents the impact of noise on hearing. Antioxidants are a promising option in preventing the damaging effects of noise by targeting free radicals but further studies are needed to confirm their efficacy in humans.

Patients awaiting surgery for neurosurgical diseases during the first wave of the COVID-19 pandemic in Spain: a multicentre cohort study.

OBJECTIVES: The large number of infected patients requiring mechanical ventilation has led to the postponement of scheduled neurosurgical procedures during the first wave of the COVID-19 pandemic. The aims of this study were to investigate the factors that influence the decision to postpone scheduled neurosurgical procedures and to evaluate the effect of the restriction in scheduled surgery adopted to deal with the first outbreak of the COVID-19 pandemic in Spain on the outcome of patients awaiting surgery. DESIGN: This was an observational retrospective study. SETTINGS: A tertiary-level multicentre study of neurosurgery activity between 1 March and 30 June 2020. PARTICIPANTS: A total of 680 patients awaiting any scheduled neurosurgical procedure were enrolled. 470 patients (69.1%) were awaiting surgery because of spine degenerative disease, 86 patients (12.6%) due to functional disorders, 58 patients (8.5%) due to brain or spine tumours, 25 patients (3.7%) due to cerebrospinal fluid (CSF) disorders and 17 patients (2.5%) due to cerebrovascular disease. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was mortality due to any reason and any deterioration of the specific neurosurgical condition. Second, we analysed the rate of confirmed SARS-CoV-2 infection. RESULTS: More than one-quarter of patients experienced clinical or radiological deterioration. The rate of worsening was higher among patients with functional (39.5%) or CSF disorders (40%). Two patients died (0.4%) during the waiting period, both because of a concurrent disease. We performed a multivariate logistic regression analysis to determine independent covariates associated with maintaining the surgical indication. We found that community SARS-CoV-2 incidence (OR=1.011, p<0.001), degenerative spine (OR=0.296, p=0.027) and expedited indications (OR=6.095, p<0.001) were independent factors for being operated on during the pandemic. CONCLUSIONS: Patients awaiting neurosurgery experienced significant collateral damage even when they were considered for scheduled procedures.

Intracranial Pressure Monitoring in Patients With Severe Traumatic Brain Injury: Extension of the Recommendations and the Effect on Outcome by Propensity Score Matching.

BACKGROUND: Intracranial pressure (ICP) monitoring is recommended for patients with traumatic brain injury (TBI) with a Glasgow Coma Scale (GCS) <9 on admission and revealing space-occupying lesions or swelling on computed tomography. However, previous studies that have evaluated its effect on outcome have shown conflicting results. OBJECTIVE: To study the effect of ICP monitoring on outcome after adjustment of patient's characteristics imbalance and determine the potential benefit on patients with higher GCS that deteriorates early or in the absence of computed tomography results suggesting high ICP. METHODS: We searched for adult patients with TBI admitted between 1996 and 2020 with a GCS <9 on admission or deterioration from higher scores within 24 hours after TBI. Patients were divided into groups if they fulfilled strict (Brain Trauma Foundation guidelines) or extended criteria (patients who worsened after admission or without space-occupying lesions) for ICP monitoring. Propensity score analyses based on nearest neighbor matching was performed. RESULTS: After matching, we analyzed data from 454 patients and 184 patients who fulfilled strict criteria or extended criteria for ICP monitoring, respectively. A decreased on in-hospital mortality was detected in monitored patients following strict and extended criteria . Those patients with a higher baseline risk of poor outcome showed higher odds of favorable outcome if they were monitored. CONCLUSION: ICP monitoring in patients with severe TBI within 24 hours after injury following strict and extended criteria was associated with a decreased in-hospital mortality. The identification of patients with a higher risk of an unfavorable outcome might be useful to better select cases that would benefit more from ICP monitoring.

Factores neonatales, maternos y procedimientos invasivos asociados a sepsis neonatal tardía en el periodo 2011-2020. Revisión sistemática y metaanálisis / Neonatal, maternal and invasive procedures factors associated with late neonatal sepsis in the period 2011-2020 systematic review and meta-analysis

Objetivo: El presente trabajo se realizó con la intención de Revisar, evaluar y sintetizar literatura disponible sobre factores neonatales, maternos y procedimientos invasivos realizados en el neonato asociados a sepsis neonatal tardía durante los últimos diez años. Métodos: Las bases de datos utilizadas para la búsqueda bibliográfica fueron: Pubmed/Medline, LILACS, SciELO y Google Scholar Se seleccionaron estudios analíticos sobre investigación de factores de riesgo para sepsis neonatal tardía por etapas (título, resumen y texto completo). El riesgo de sesgo se evaluó con la Escala Newcastle Otawa. Se evaluó la heterogeneidad y se realizó un metaanálisis de efectos aleatorios para los siguientes factores de riesgo: sexo, edad gestacional, peso al nacer, Apgar a los 5 min, ruptura prematura de membranas, vía de parto, uso de catéter venoso central y ventilación mecánica. El efecto se midió con odds ratio. La certeza de la evidencia se determinó utilizando la metodología GRADE. El protocolo se registró en PROSPERO. Resultados: Se recopilaron ocho estudios de 633 registros. La heterogeneidad fue alta. 3 estudios sexo masculino OR: 1,97(0,26-14,59) p=0.03; I2 =80%, prematuridad 2 estudios OR: 2,48 (1,13-5.45); p=0.04; I2 =72%, uso de catéter venoso central 4 estudios ­ OR: 3,83 (1,07 ­ 13,71) p<0.01; I2 =89% y ventilación mecánica 4 estudios OR: 2,83 (1,42 ­ 5,68); p<0.01; I2 =86%) fueron factores independientes para el desarrollo de sepsis neonatal tardía. Los estudios tuvieron la puntuación más baja en evaluación de comparabilidad al aplicarse el riesgo de sesgo. Los resultados tuvieron certeza baja de evidencia. Interpretación: Sexo masculino, prematuridad, uso de catéter venoso central y ventilación mecánica son factores de riesgo para sepsis tardía

Objective: To review, evaluate and synthesize available literature on neonatal and maternal factors and invasive procedures associated with late neonatal sepsis during the last ten years. Methods: The databases used for the bibliographic search were: Pubmed/Medline, LILACS, SciELO, and Google Scholar. Analytical studies investigating risk factors for late neonatal sepsis by stages (title, abstract and full text) were selected. The risk of bias was assessed using the Newcastle Ottawa Scale. Heterogeneity was set, and a random-effects meta-analysis was performed for the following risk factors: gender, gestational age, birth weight, Apgar score at 5 min, premature rupture of membranes, route of delivery, use of a central venous catheter, and ventilation. Mechanics. The effect was measured with an odds ratio. The certainty of the evidence was determined using the GRADE methodology. The protocol was registered in PROSPERO. Results: Eight studies from 633 records were collected. Heterogeneity was high. Three male studies OR: 1.97(0.26-14.59) p=0.03; I2 =80%, prematurity 2 studies OR: 2.48 (1.13-5.45); p=0.04; I2 =72%, use of central venous catheter 4 studies ­ OR: 3.83 (1.07 ­ 13.71) p<0.01; I2 =89% and mechanical ventilation 4 studies OR: 2.83 (1.42 ­ 5.68); p<0.01; I2 =86%) were independent factors for the development of late neonatal sepsis. Studies had the lowest comparability assessment score when the risk of bias was applied. The results had low certainty of evidence. Interpretation: Male sex, prematurity, use of a central venous catheter, and mechanical ventilation are risk factors for late sepsis

Analysis of the genotypic profile and its relationship with the clinical manifestations in people with cystic fibrosis: study from a rare disease registry.

BACKGROUND: Cystic fibrosis (CF) has a vast and heterogeneous mutational spectrum in Europe. This variability has also been described in Spain, and there are numerous studies linking CFTR variants with the symptoms of the disease. Most of the studies analysed determinate clinical manifestations or specific sequence variants in patients from clinical units. Others used registry data without addressing the genotype-phenotype relationship. Therefore, the objective of this study is to describe the genetic and clinical characteristics of people with CF and to analyse the relationship between both using data from the rare disease registry of a region in southeastern Spain. METHODS: A cross-sectional study was carried out in people with a confirmed diagnosis of CF registered in the Rare Diseases Information System (SIER) of the Region of Murcia (Spain). The patients were classified into two genotypes according to the functional consequence that the genetic variants had on the CFTR protein. RESULTS: There were 192 people diagnosed with CF reported in the Region of Murcia as of 31 December 2018. Seventy-six genotypes and 49 different variants were described, with c.1521_1523delCTT (p. Phe508del) being the most common in 58.3% of the CF patients and 37.0% of the alleles. In addition, 67% of the patients were classified as a high-risk genotype, which was associated with a lower percentage of FEV1 (OR: 5.3; 95% CI: 1.2, 24.4), an increased risk of colonization by Pseudomonas aeruginosa (OR: 7.5; 95% CI: 1.7, 33.0) and the presence of pancreatic insufficiency (OR: 28.1; 95% CI: 9.3, 84.4) compared to those with a low-risk genotype. CONCLUSIONS: This is the first study in Spain that describes the mutational spectrum and its association with clinical manifestations in patients with CF using data from a rare disease registry. The results obtained allow planning for the health resources needed by people with this disease, thus contributing to the development of personalized medicine that helps to optimize health care in CF patients.

Racemose Fourth Ventricle Neurocysticercosis Excision Through Telovelar Approach and Hydrodissection.

Intraventricular neurocysticercosis is associated with more severe complications and a worse overall outcome.1,2 Fourth ventricle neurocysticercosis (FVNCC) often presents with cerebrospinal fluid obstruction and hydrocephalus by means of direct mechanical occlusion of ventricular outlets by the cysts or due to an ependymal inflammatory response. Unfortunately, there is little consensus on the optimal management for FVNCC. If possible, surgical removal of cysticerci rather than medical therapy and/or shunt surgery is recommended.3 Endoscopic removal of cysts is described to be an effective treatment modality.4 However, endoscopic removal of inflamed or adherent ventricular cysticerci is associated with increased risk of complications.5 Although microdissection through a posterior fossa telovelar approach is a valid method for FVNCC,6,7 scarce reports describe the therapeutic decision making and provide a surgical video of adherent FVNCC cyst resection. Video 1 shows a 40-year-old female born in Honduras who presented with progressive headache. Computed tomography revealed ventriculomegaly and transependymal flow. Magnetic resonance imaging demonstrated obstructive hydrocephalus secondary to a multiloculated cystic mass within the fourth ventricle. According to the diagnostic criteria, probable racemose FVNCC was suspected.8 Magnetic resonance imaging raised suspicion that the cysts could be densely adherent to surrounding structures,9 precluding endoscopic removal. We performed a combined microscopic and endoscopic approach, which permitted removal of the cysts through a telovelar approach and hydrodissection technique without damaging nearby structures and treatment of the associated hydrocephalus through an endoscopic third ventriculostomy, allowing complete resolution of symptoms and avoidance of cerebrospinal fluid shunting.

Hemodynamic alterations following a cerebellar arteriovenous malformation resection: Case report and densitometric quantitative analysis from CT imaging / Alteraciones hemodinámicas tras la resección de una malformación arteriovenosa cerebelosa: caso clínico y análisis cuantitativo densitométrico de las imágenes de tomografía computarizada cerebral

BackgroundCerebellar arteriovenous malformations (cAVMs) are rare and challenging lesions with an aggressive natural history. The mechanisms whereby a patient can worsen clinically after a supratentorial AVM resection include an acute alteration in cerebral hemodynamics, which is a known cause of postoperative hyperemia, edema and/or hemorrhage. These phenomena has not been described for cAVMS. Moreover, the underlying pathophysiology of edema and hemorrhage after AVM resection still remains controversial.MethodsWe report a patient that presented an abrupt neurological deterioration after cAVM surgical resection. Emergent external ventricular drainage to treat incipient hydrocephalus only partially reverted the patient's deterioration. Consecutive post-surgery CT images revealed fourth ventricle compression secondary to cerebellar swelling that concurred with a new neurological deterioration. Densitometric analysis was performed in these CT images to reveal the nature of these changes as well as their evolution over time.ResultsImportantly, we demonstrated a dynamic increase in the cerebellum mean density at the interval of Hounsfield values which correspond to hyperemia values. These changes were dynamic, and when hyperemia resolved and cerebellar density returned to basal levels, the fourth ventricle re-expanded and the patient neurologically recovered.ConclusionsThis study demonstrated the utility of quantitative CT image analysis in the context of hemodynamic alterations following cAVM resection. Densitometric CT analysis demonstrated that hyperemic changes, but not ischemic ones, were time-dependent and were responsible for swelling and hemorrhage that conditioned neurological status and patient's evolution (AU)

AntecedentesLas malformaciones arteriovenosas cerebelosas (MAVc) son lesiones raras, con una historia natural agresiva. Los mecanismos por los que un paciente puede empeorar clínicamente después de la resección de una MAV supratentorial incluyen una alteración aguda en la hemodinámica cerebral, que es una causa conocida de hiperemia, edema y/o hemorragia postoperatorios. Sin embargo, estos fenómenos no se han descrito en las MAVc. Además, la fisiopatología subyacente de este edema y la hemorragia tras la resección de una MAV sigue siendo controvertida.MétodosExponemos el caso de una paciente que presentó un deterioro neurológico abrupto después de la resección quirúrgica de una MAVc. El drenaje ventricular externo para tratar la hidrocefalia solo revirtió parcialmente el deterioro de la paciente. Las imágenes secuenciales de la tomografía computarizada (TC) posquirúrgicas revelaron compresión del cuarto ventrículo secundaria a edema cerebeloso, que fue concomitante con un nuevo deterioro neurológico. En las imágenes de la TC se realizó un análisis densitométrico para revelar la naturaleza de estos cambios, así como su evolución en el tiempo.ResultadosNuestro análisis demostró un aumento en la densidad media del cerebelo en unidades Hounsfield en el intervalo de valores que corresponden a hiperemia. Estos cambios fueron dinámicos y cuando se resolvió la hiperemia y la densidad cerebelosa volvió a los niveles basales, el cuarto ventrículo se volvió a expandir y la paciente se recuperó neurológicamente.ConclusionesEste estudio demuestra la utilidad del análisis cuantitativo de imágenes de la TC en el contexto de las alteraciones hemodinámicas posteriores a la resección de una MAV. El análisis densitométrico de la TC demostró que los cambios hiperémicos, pero no los isquémicos, variaron con el tiempo de evolución y eran responsables del swelling y la hemorragia que condicionaban el estado neurológico y la evolución del paciente (AU)

Hemodynamic alterations following a cerebellar arteriovenous malformation resection: Case report and densitometric quantitative analysis from CT imaging.

BACKGROUND: Cerebellar arteriovenous malformations (cAVMs) are rare and challenging lesions with an aggressive natural history. The mechanisms whereby a patient can worsen clinically after a supratentorial AVM resection include an acute alteration in cerebral hemodynamics, which is a known cause of postoperative hyperemia, edema and/or hemorrhage. These phenomena has not been described for cAVMS. Moreover, the underlying pathophysiology of edema and hemorrhage after AVM resection still remains controversial. METHODS: We report a patient that presented an abrupt neurological deterioration after cAVM surgical resection. Emergent external ventricular drainage to treat incipient hydrocephalus only partially reverted the patient's deterioration. Consecutive post-surgery CT images revealed fourth ventricle compression secondary to cerebellar swelling that concurred with a new neurological deterioration. Densitometric analysis was performed in these CT images to reveal the nature of these changes as well as their evolution over time. RESULTS: Importantly, we demonstrated a dynamic increase in the cerebellum mean density at the interval of Hounsfield values which correspond to hyperemia values. These changes were dynamic, and when hyperemia resolved and cerebellar density returned to basal levels, the fourth ventricle re-expanded and the patient neurologically recovered. CONCLUSIONS: This study demonstrated the utility of quantitative CT image analysis in the context of hemodynamic alterations following cAVM resection. Densitometric CT analysis demonstrated that hyperemic changes, but not ischemic ones, were time-dependent and were responsible for swelling and hemorrhage that conditioned neurological status and patient's evolution.

Stratification of radiosensitive brain metastases based on an actionable S100A9/RAGE resistance mechanism.

Whole-brain radiotherapy (WBRT) is the treatment backbone for many patients with brain metastasis; however, its efficacy in preventing disease progression and the associated toxicity have questioned the clinical impact of this approach and emphasized the need for alternative treatments. Given the limited therapeutic options available for these patients and the poor understanding of the molecular mechanisms underlying the resistance of metastatic lesions to WBRT, we sought to uncover actionable targets and biomarkers that could help to refine patient selection. Through an unbiased analysis of experimental in vivo models of brain metastasis resistant to WBRT, we identified activation of the S100A9-RAGE-NF-κB-JunB pathway in brain metastases as a potential mediator of resistance in this organ. Targeting this pathway genetically or pharmacologically was sufficient to revert the WBRT resistance and increase therapeutic benefits in vivo at lower doses of radiation. In patients with primary melanoma, lung or breast adenocarcinoma developing brain metastasis, endogenous S100A9 levels in brain lesions correlated with clinical response to WBRT and underscored the potential of S100A9 levels in the blood as a noninvasive biomarker. Collectively, we provide a molecular framework to personalize WBRT and improve its efficacy through combination with a radiosensitizer that balances therapeutic benefit and toxicity.

A clinically compatible drug-screening platform based on organotypic cultures identifies vulnerabilities to prevent and treat brain metastasis.

We report a medium-throughput drug-screening platform (METPlatform) based on organotypic cultures that allows to evaluate inhibitors against metastases growing in situ. By applying this approach to the unmet clinical need of brain metastasis, we identified several vulnerabilities. Among them, a blood-brain barrier permeable HSP90 inhibitor showed high potency against mouse and human brain metastases at clinically relevant stages of the disease, including a novel model of local relapse after neurosurgery. Furthermore, in situ proteomic analysis applied to metastases treated with the chaperone inhibitor uncovered a novel molecular program in brain metastasis, which includes biomarkers of poor prognosis and actionable mechanisms of resistance. Our work validates METPlatform as a potent resource for metastasis research integrating drug-screening and unbiased omic approaches that is compatible with human samples. Thus, this clinically relevant strategy is aimed to personalize the management of metastatic disease in the brain and elsewhere.

Clinical improvement after cranioplasty and its relation to body position and cerebral hemodynamics.

Cranioplasty after decompressive craniectomy (DC) has been found to improve the neurological condition. The underlying mechanisms are still unknown. The aim of this study is to investigate the roles of the postural changes and atmospheric pressure (AP) in the brain hemodynamics and their relationship with clinical improvement. Seventy-eight patients were studied before and 72 h after cranioplasty with cervical and transcranial color Doppler ultrasound (TCCS) in the sitting and supine positions. Craniectomy size, shape, and force exerted by the AP (torque) were calculated. Neurological condition was assessed with the National Institutes of Health Stroke Scale (NIHSS) and the Barthel index. Twenty-eight patients improved after cranioplasty. Their time elapsed from the DC was shorter (214 vs 324 days), preoperative Barthel was worse (54 vs 77), internal carotid artery (ICA) mean velocity of the defect side was lower while sitting (14.4 vs 20.9 cm/s), and torque over the craniectomy was greater (2480.3 vs 1464.3 N*cm). Multivariate binary logistic regression showed the consistency of these changes. TCCS findings were no longer present postoperatively. Lower ICA (defect side) velocity in the sitting position correlates significantly with clinical improvement. Greater torque exerted by the AP might explain different susceptibilities to postural changes, corrected by cranioplasty.

The influence of aneurysm morphology on the volume of hemorrhage after rupture.

OBJECTIVE: Factors determining the risk of rupture of intracranial aneurysms have been extensively studied; however, little attention is paid to variables influencing the volume of bleeding after rupture. In this study the authors aimed to evaluate the impact of aneurysm morphological variables on the amount of hemorrhage. METHODS: This was a retrospective cohort analysis of a prospectively collected data set of 116 patients presenting at a single center with subarachnoid hemorrhage due to aneurysmal rupture. A volumetric assessment of the total hemorrhage volume was performed from the initial noncontrast CT. Aneurysms were segmented and reproduced from the initial CT angiography study, and morphology indexes were calculated with a computer-assisted approach. Clinical and demographic characteristics of the patients were included in the study. Factors influencing the volume of hemorrhage were explored with univariate correlations, multiple linear regression analysis, and graphical probabilistic modeling. RESULTS: The univariate analysis demonstrated that several of the morphological variables but only the patient's age from the clinical-demographic variables correlated (p < 0.05) with the volume of bleeding. Nine morphological variables correlated positively (absolute height, perpendicular height, maximum width, sac surface area, sac volume, size ratio, bottleneck factor, neck-to-vessel ratio, and width-to-vessel ratio) and two correlated negatively (parent vessel average diameter and the aneurysm angle). After multivariate analysis, only the aneurysm size ratio (p < 0.001) and the patient's age (p = 0.023) remained statistically significant. The graphical probabilistic model confirmed the size ratio and the patient's age as the variables most related to the total hemorrhage volume. CONCLUSIONS: A greater aneurysm size ratio and an older patient age are likely to entail a greater volume of bleeding after subarachnoid hemorrhage.

Impact of the first wave of the SARS-CoV-2 pandemic on the outcome of neurosurgical patients: a nationwide study in Spain.

OBJECTIVE: To assess the effect of the first wave of the SARS-CoV-2 pandemic on the outcome of neurosurgical patients in Spain. SETTINGS: The initial flood of COVID-19 patients overwhelmed an unprepared healthcare system. Different measures were taken to deal with this overburden. The effect of these measures on neurosurgical patients, as well as the effect of COVID-19 itself, has not been thoroughly studied. PARTICIPANTS: This was a multicentre, nationwide, observational retrospective study of patients who underwent any neurosurgical operation from March to July 2020. INTERVENTIONS: An exploratory factorial analysis was performed to select the most relevant variables of the sample. PRIMARY AND SECONDARY OUTCOME MEASURES: Univariate and multivariate analyses were performed to identify independent predictors of mortality and postoperative SARS-CoV-2 infection. RESULTS: Sixteen hospitals registered 1677 operated patients. The overall mortality was 6.4%, and 2.9% (44 patients) suffered a perioperative SARS-CoV-2 infection. Of those infections, 24 were diagnosed postoperatively. Age (OR 1.05), perioperative SARS-CoV-2 infection (OR 4.7), community COVID-19 incidence (cases/105 people/week) (OR 1.006), postoperative neurological worsening (OR 5.9), postoperative need for airway support (OR 5.38), ASA grade ≥3 (OR 2.5) and preoperative GCS 3-8 (OR 2.82) were independently associated with mortality. For SARS-CoV-2 postoperative infection, screening swab test <72 hours preoperatively (OR 0.76), community COVID-19 incidence (cases/105 people/week) (OR 1.011), preoperative cognitive impairment (OR 2.784), postoperative sepsis (OR 3.807) and an absence of postoperative complications (OR 0.188) were independently associated. CONCLUSIONS: Perioperative SARS-CoV-2 infection in neurosurgical patients was associated with an increase in mortality by almost fivefold. Community COVID-19 incidence (cases/105 people/week) was a statistically independent predictor of mortality. TRIAL REGISTRATION NUMBER: CEIM 20/217.

Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI.

Radiomics, in combination with artificial intelligence, has emerged as a powerful tool for the development of predictive models in neuro-oncology. Our study aims to find an answer to a clinically relevant question: is there a radiomic profile that can identify glioblastoma (GBM) patients with short-term survival after complete tumor resection? A retrospective study of GBM patients who underwent surgery was conducted in two institutions between January 2019 and January 2020, along with cases from public databases. Cases with gross total or near total tumor resection were included. Preoperative structural multiparametric magnetic resonance imaging (mpMRI) sequences were pre-processed, and a total of 15,720 radiomic features were extracted. After feature reduction, machine learning-based classifiers were used to predict early mortality (<6 months). Additionally, a survival analysis was performed using the random survival forest (RSF) algorithm. A total of 203 patients were enrolled in this study. In the classification task, the naive Bayes classifier obtained the best results in the test data set, with an area under the curve (AUC) of 0.769 and classification accuracy of 80%. The RSF model allowed the stratification of patients into low- and high-risk groups. In the test data set, this model obtained values of C-Index = 0.61, IBS = 0.123 and integrated AUC at six months of 0.761. In this study, we developed a reliable predictive model of short-term survival in GBM by applying open-source and user-friendly computational means. These new tools will assist clinicians in adapting our therapeutic approach considering individual patient characteristics.