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Network change point detection in resting-state functional connectivity dynamics of mild cognitive impairment patients Deteccion de puntos de cambios en redes de conectividad funcional dinamica en situacion de reposo en pacientes con deterioro cognitivo leve

ABSTRACT: Background/Objective: This study aims to characterize the differences on the short-term temporal network dynamics of the undirected and weighted whole-brain functional connectivity between healthy aging individuals and people with mild cognitive impairment (MCI). The Network Change Point Detection algorithm was applied to identify the significant change points in the resting-state fMRI register, and we analyzed the fluctuations in the topological properties of the sub-networks between significant change points. Method: Ten MCI patients matched by gender and age in 1:1 ratio to healthy controls screened during patient recruitment. A neuropsychological evaluation was done to both groups as well as functional magnetic images were obtained with a Philips 3.0T. All the images were preprocessed and statistically analyzed through dynamic point estimation tools. Results: No statistically significant differences were found between groups in the number of significant change points in the functional connectivity networks. However, an interaction effect of age and state was detected on the intra-participant variability of the network strength. Conclusions: The progression of states was associated to higher variability in the patient's group. Additionally, higher performance in the prospective and retrospective memory scale was associated with higher median network strength.

SUBMITTER: Mancho-Fora N

PROVIDER: S-EPMC7501449 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Project description:Introduction One of the great challenges during the COVID-19 pandemic was the management of ventilatory support. Extracorporeal membrane oxygenation (ECMO) was the main strategy for the management of refractory acute respiratory distress syndrome. Objective Retrospective, multicentre cohort study of adult patients who required extracorporeal membrane oxygenation (ECMO) in participating centers. Clinical and paraclinical characteristics were recorded. A comparison was made between surviving and non-surviving patients. In addition, time from symptom onset to ECMO placement, time from mechanical ventilation, and cannulation were analyzed. Material and methods Retrospective, multicentre cohort study of adult patients who required extracorporeal membrane oxygenation (ECMO) in participating centers. Clinical and paraclinical characteristics were recorded. A comparison was made between surviving and non-surviving patients. In addition, time from symptom onset to ECMO placement, time from mechanical ventilation, and cannulation were analyzed. Results Twenty-six patients were included in the analysis. Mortality during ECMO was 42.3% (n = 11) and overall hospital mortality was 65.3% (n = 17). The patient cohort did not differ in terms of sociodemographic characteristics and predictors of mortality at ICU admission between survivors and non-survivors. Mobile ECMO was performed in 10 patients, while 16 were cannulated in situ at the participating centers. The median time from symptom onset to ECMO was 14.5 days (IQR 10.7–21.5), 11 days (IQR 9.5–15.5) in the survivor group, and 17 days (IQR 12.5–27) in non-survivors. The median IMV time was 28.5 (IQR 13–38.25) days. Driving pressure (12 vs 10 cmH2O; p < .01), compliance (37.2 vs 21.4 ml/cmH2O; p < .01), and mechanical power (17.4 vs 11.3 J/min; p = .051) of the respiratory system showed statistically significant differences when comparing survivors and non-survivors, during the 3rd day of ECMO support. Conclusion In our cohort, mortality after ECMO and after 30 days of hospital stay, was 42.3%, similar to that stated on the extracorporeal life support organization (ELSO) COVID-19 registry dashboard. Information about patients with COVID-19 who required ECMO during the first wave in Argentina was provided in this analysis.

Project description:Introducción La Organización Mundial de la Salud (OMS) recomienda las intervenciones tempranas de rehabilitación y movilización en pacientes hospitalizados por COVID-19. Los beneficios de la fisioterapia precoz, durante la estancia hospitalaria, no han sido probados en ensayos clínicos. Objetivo Evaluar los efectos de la fisioterapia precoz y educación para la salud en pacientes COVID-19 hospitalizados, en relación con los síntomas descritos en estudios previos, analizando diferencias entre grupos respecto a su acondicionamiento físico, necesidad de oxigenoterapia y estancia hospitalaria. Metodología Ensayo clínico aleatorizado con dos brazos, desarrollado en unidades de hospitalización y cuidados respiratorios intermedios (UCRI), con pacientes COVID-19. Se incluyeron 64 sujetos en el grupo experimental (implementación de un programa de fisioterapia precoz tras 48-72 horas de ingreso) y 62 en el grupo control (tratamiento habitual del centro). Variables sociodemográficas y clínicas: escala de disnea modified Medical Research Council (Mmrc), oxigenoterapia, Medical Research Council Scale sum score (MRC-SS), 30 segundos sit to stand test (30 s-STST), fuerza de prensión manual (FPM), Tinetti, escala de fragilidad (FRAIL-España) y escala Post-COVID-19Functional Status (PCFS). Se evaluaron al ingreso, al alta y a los dos meses del alta. Resultados Los experimentales tuvieron menos días de ingreso y de oxigenoterapia convencional. Al alta, presentan menor riesgo de caída (72,9 vs. 95,8%) y menor debilidad en MRC-SS (2,1 vs. 14,6%). A los dos meses tenían menor fragilidad (5,0 vs. 14,5%), mayor fuerza de prensión manual, menos disnea, mejores resultados en 30s-STST y menos limitaciones post-COVID (86,5 vs. 96,4%). Conclusión La intervención de fisioterapia precoz en pacientes COVID-19 y la educación para la salud recibida previenen la debilidad muscular durante el ingreso, mejoran el acondicionamiento físico al alta y a los dos meses y disminuyen los días de estancia hospitalaria. ClinicalTrials.gov (NCT05032885).

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Network change point detection in resting-state functional connectivity dynamics of mild cognitive impairment patients Deteccion de puntos de cambios en redes de conectividad funcional dinamica en situacion de reposo en pacientes con deterioro cognitivo leve

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