Person:
Susi García, María Del Rosario

First Name

María Del Rosario

Last Name

Susi García

URI

https://hdl.handle.net/20.500.14352/77434

Affiliation

Universidad Complutense de Madrid

Faculty / Institute

Estudios estadísticos

Department

Estadística y Ciencia de los Datos

Area

Estadística e Investigación Operativa

Identifiers

Full item page

Search Results

Now showing 1 - 10 of 24

Malnutrición asociada a disfagia orofaríngea en pacientes mayores de 65 años ingresados en una unidad médico-quirúrgica
(Enfermería Clínica, 2014) Susi García, María Del Rosario; Martínez Rincón, María Del Carmen; Morena López, Felipe de la; Cortázar Sáez, Milagros; Santander Vaquero, Cecilio; Galán Sánchez-Heredero, María José
Objetivos: El objetivo principal es conocer la relación existente entre disfagia orofaríngea, situación de riesgo nutricional y deterioro funcional en pacientes mayores de 65 años ingresados en una unidad de hospitalización médico-quirúrgica. Los objetivos secundarios son determinar la prevalencia de disfagia orofaríngea, conocer el estado nutricional y la capacidad funcional de estos pacientes. Metodología: Estudio observacional, analítico y transversal que incluyó durante los meses de febrero a marzo del 2013 a pacientes mayores de 65 años ingresados en la unidad de Digestivo-Urología del Hospital Universitario de la Princesa. Se registraron las siguientes variables: edad, sexo, índice de masa corporal, soporte familiar, diagnóstico, comorbilidad, disfagia orofaríngea (EAT-10 y método de evaluación clínica volumen-viscosidad), malnutrición (Mininutritional Assessment) y capacidad funcional de los pacientes (índice de Barthel). Resultados: Se reclutó a 167 pacientes, siendo la prevalencia de disfagia y de malnutrición del 30,8 y 15,4% respectivamente. En pacientes con disfagia orofaríngea la prevalencia de problemas nutricionales aumentó hasta el 75%. En el análisis de regresión logística, la obtención de una puntuación baja en el índice de Barthel (OR 0,97 [IC 95%; 0,95-0,99]), la presencia de comorbilidad (OR 7,98 [IC 95%; 3,09-20,61]) y padecer disfagia (OR 4,07 [IC 95%; 1,57-10,52]) se asociaron a una mayor probabilidad de padecer malnutrición. Discusión: La disfagia orofaríngea es uno de los problemas más infradiagnosticados y subestimados entre los pacientes ancianos y que mayor afectación tiene sobre su estado nutricional. Sugerimos detectarla de forma precoz mediante los métodos diagnósticos establecidos y con la colaboración de un equipo multidisciplinar.
Project number: 62
I Jornadas de Estudiantes de Ciencias de la Documentación: Compartiendo Conocimiento
(2017) Arias Coello, Alicia; Sánchez Vigil, Juan Miguel; Olivera Zaldúa, María; Casas Sánchez, Ricardo; Conde Ballesteros, Gloria María; Francisco Olmos, José María De; Reyes Gómez, Fermín De Los; Susi García, María Del Rosario; Ayala Sorenssen, Federico
El proyecto de innovación que fue presentado al Vicerrectorado de Calidad en el curso 2016-2017, pretendía contribuir al desarrollo de las competencias transversales que los alumnos deben adquirir para su futuro profesional y científico; por tanto, estaba dirigido, a los alumnos de Grado, Máster y Doctorado de nuestra facultad. Las competencias y habilidades asociadas serían: Gestión y organización de eventos, contactos con expertos, investigación sobre temas relacionados con la profesión, presentación de comunicaciones, intercambio de conocimiento y discusión científica.
The Computer-Vision Symptom Scale (CVSS17): Development and Initial Validation
(IOVS (Investigative Ophthalmology & Vision Science, 2014) González Pérez, Mariano; Susi García, María Del Rosario; Antona Peñalba, Beatriz; Barrio de Santos, Ana Rosa; González Díaz-Obregón, Enrique
Purpose.: To develop a questionnaire (in Spanish) to measure computer-related visual and ocular symptoms (CRVOS). Methods.: A pilot questionnaire was created by consulting the literature, clinicians, and video display terminal (VDT) workers. The replies of 636 subjects completing the questionnaire were assessed using the Rasch model and conventional statistics to generate a new scale, designated the Computer-Vision Symptom Scale (CVSS17). Validity and reliability were determined by Rasch fit statistics, principal components analysis (PCA), person separation, differential item functioning (DIF), and item–person targeting. To assess construct validity, the CVSS17 was correlated with a Rasch-based visual discomfort scale (VDS) in 163 VDT workers, this group completed the CVSS17 twice in order to assess test-retest reliability (two-way single-measure intraclass correlation coefficient [ICC] and their 95% confidence intervals, and the coefficient of repeatability [COR]). Results.: The CVSS17 contains 17 items exploring 15 different symptoms. These items showed good reliability and internal consistency (mean square infit and outfit 0.88–1.17, eigenvalue for the first residual PCA component 1.37, person separation 2.85, and no DIF). Pearson's correlation with VDS scores was 0.60 (P < 0.001). Intraclass correlation coefficient for test–retest reliability was 0.849 (95% confidence interval [CI], 0.800–0.887), and COR was 8.14. Conclusions.: The Rasch-based linear-scale CVSS17 emerged as a useful tool to quantify CRVOS in computer workers.
Bayesian reasoning with emotional material in patients with schizophrenia
(Frontiers in Psychology, 2022) Susi García, María Del Rosario; Romero-Ferreiro, Verónica; Sánchez-Morla, Eva M.; Marí-Beffa, Paloma; Rodríguez-Gómez, Pablo; Amador Pacheco, Julia; Moreno, Eva M.; Romero, Carmen; Martínez-García, Natalia; Rodriguez-Jimenez, Roberto
Delusions are one of the most classical symptoms described in schizophrenia. However, despite delusions are often emotionally charged, they have been investigated using tasks involving non-affective material, such as the Beads task. In this study we compared 30 patients with schizophrenia experiencing delusions with 32 matched controls in their pattern of responses to two versions of the Beads task within a Bayesian framework. The two versions of the Beads task consisted of one emotional and one neutral, both with ratios of beads of 60:40 and 80:20, considered, respectively, as the "difficult" and "easy" variants of the task. Results indicate that patients showed a greater deviation from the normative model, especially in the 60:40 ratio, suggesting that more inaccurate probability estimations are more likely to occur under uncertainty conditions. Additionally, both patients and controls showed a greater deviation in the emotional version of the task, providing evidence of a reasoning bias modulated by the content of the stimuli. Finally, a positive correlation between patients' deviation and delusional symptomatology was found. Impairments in the 60:40 ratio with emotional content was related to the amount of disruption in life caused by delusions. These results contribute to the understanding of how cognitive mechanisms interact with characteristics of the task (i.e., ambiguity and content) in the context of delusional thinking. These findings might be used to inform improved intervention programs in the domain of inferential reasoning.
A three-dimensional Oral health-related quality of life framework for temporomandibular joint disorders: A structural analysis of the Oral Health Impact Profile-14
(Journal of Dentistry, 2023) Castaño Joaquí, Oscar Gabriel; Susi García, María Del Rosario; Amador Pacheco, Julia
Objectives: the objective is to analyze the structure and relationship between the components of the Oral healthrelated quality of life using the Oral Health Impact Profile-14 (OHIP-14) for patients with temporomandibular joint disorders (TMJD). Methods: two studies were examinated by means of factor analysis, multidimensional scaling and their spatial display in a cross-sectional design (n = 153). Results: three-dimensional solutions with an adequate fit were found: residual distribution, root mean square of residuals (RMSR) = 0.04, Goodness of Fit Index (GFI) = 0.96, and Adjusted Goodness of Fit Index (AGFI) = 0.93; and Stress I = 0.023, respectively. The overall ordinal alpha coefficient was 0.92 (CI=0.90 to 0.94). The ordinal alpha coefficients for functional impact, psychosocial impact and psychological impact factors were 0.87 (CI=0.84 to 0.90), 0.88 (CI=0.84 to 0.91) and 0.78 (CI= 0.72 to 0.83), respectively. Item 9 was the most central, followed by 7 and 11. Items 1 and 2 had minor associations. There was no evidence of differences between centers: edge weight differences (M = 0.226, p = 0.94), global strength invariance test (S = 1.88, p = 0.1), centrality invariance test (p >0.05), edge invariance test (p >0.05). Conclusions: the links between the dimensions and the items seem to involve psychological components. Oral health-related quality of life emerged as a three-dimensional structure (Functional Impact, Psychosocial Impact and Psychological Impact) of functional and psychosocial elements in which physical, psychological, and social disability were essential, while theoretical functional limitation was least important. Clinical significance: the three-dimensional OHRQoL system for temporomandibular disorders (TMD) is a worthwhile alternative to interpret psychological and psychosocial aspects.
Project number: 331
Elaboración y diseño de estructura modular para la formación en Técnicas estadísticas básicas y para la investigación
(2015) Alonso Revenga, Juana M.; Amador Pacheco, Julia; Brita-Paja Segoviano, Jose Luis; Cáceres García, Inés; Cintas del Río, Rosario; Corral Herrero, Aránzazu; Espínola Vílchez, María Rosario; Ferrán Aranaz, Magdalena; Nieto Zayas, Carmen; Ortega Castelló, Eduardo; Susi García, María Del Rosario; Vicente Hernanz, Mª Lina
Five levels of performance and two subscales identified in the computer-vision symptom scale (CVSS17) by Rasch, factor, and discriminant analysis
(PLoS ONE, 2018) González Pérez, Mariano; Susi García, María Del Rosario; Barrio De Santos, Ana Rosa; Antona Peñalba, Beatriz
Purpose: To quantify the levels of performance (symptom severity) of the computer-vision symptom scale (CVSS17), confirm its bifactorial structure as detected in an exploratory factor analysis, and validate its factors as subscales. Methods: By partial credit model (PCM), we estimated CVSS17 measures and the standard error for every possible raw score, and used these data to determine the number of different performance levels in the CVSS17. In addition, through discriminant analysis, we checked that the scale's two main factors could classify subjects according to these determined levels of performance. Finally, a separate Rasch analysis was performed for each CVSS17 factor to assess their measurement properties when used as isolated scales. Results: We identified 5.8 different levels of performance. Discriminant functions obtained from sample data indicated that the scale's main factors correctly classified 98.4% of the cases. The main factors: Internal symptom factor (ISF) and external symptom factor (ESF) showed good measurement properties and can be considered as subscales. Conclusion: CVSS17 scores defined five different levels of performance. In addition, two main factors (ESF and ISF) were identified and these confirmed by discriminant analysis. These subscales served to assess either the visual or the ocular symptoms attributable to computer use.
Project number: PIMCD144/23-24
Uso del cine y otros medios audiovisuales como herramienta en la docencia de Matemáticas y Estadística
(2024) Cabrera Gómez, Gloria; Gamboa Pérez, María; Mateo Navas, Luis Miguel; Monge Romojaro; Mireya; Pérez Pérez, Teresa; Pons Bordería, María Jesús; Susi García, María Del Rosario; Taipe Hidalgo, Diana Paulina; Cabrera Gómez, Gloria
El presente proyecto de innovación docente tiene como objetivo utilizar imágenes, podcasts, vídeos, canciones, cortes de películas, series de televisión, prensa digital, programa de radio o mensajes en redes sociales, en los que aparezcan contenidos matemáticos o estadísticos e insertarlos de manera dinámica en el desarrollo de la clase con el fin de mejorar la motivación, atención y aprendizaje.
Definición y estudios de redes bayesianas aplicadas a ciencias de la salud y de la vida
(2021) Mateos Marcos, Carlos; Amador Pacheco, Julia; Susi García, María Del Rosario
Las redes bayesianas son modelos gráficos probabilísticos que expresan las relaciones de dependencia condicional en un conjunto de variables. Desde su concepción, las redes bayesianas han estado profundamente ligadas a las Ciencias de la Salud y de la Vida, especialmente en el área clínica. Existe una bibliografía extensa sobre aplicaciones de las redes bayesianas a este ámbito. Sin embargo, el análisis de algoritmos de aprendizaje de redes y parámetros, y su aptitud en función de factores como la cantidad de variables, la naturaleza de los datos o la complejidad de la estructura de dependencia no es un tema común en la literatura. En este trabajo, analizamos la aplicación de estas técnicas a problemas descritos en la bibliografía, exploramos el software bnlearn disponible en el lenguaje de programación R documentando nuestro código y evaluamos las estrategias de aprendizaje que mejor se ajustan a cada tipo de datos. Esperamos con ello aportar conocimiento sobre las redes bayesianas y proporcionar un punto de partida para su estudio a profesionales sanitarios e investigadores.
Inaccurate parameters in Gaussian Bayesian networks
(2008) Gómez Villegas, Miguel Á.; Main Yaque, Paloma; Susi García, María Del Rosario
To determine the effect of a set of inaccurate parameters in Gaussian Bayesian networks, it is necessary to study the sensitive of the model. With this aim we propose a sensitivity analysis based on comparing two differents models: the original model with the initial parameters assigned to the Gaussian Bayesian network and the perturbed model obtain afther perturbing a ser of inaccurate parameters with specific characteristics.