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Annals of Hepatology
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Inicio Annals of Hepatology Comparison of two ROC curve-based methods for determining the cross-point critti...
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Vol. 19. Núm. S1.
Abstracts of the 2020 Annual meeting of the Mexican Association of Hepatology (AMH) – XV Congreso Nacional de Hepatología (23-25 de julio)
Páginas 19-20 (septiembre 2020)
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Vol. 19. Núm. S1.
Abstracts of the 2020 Annual meeting of the Mexican Association of Hepatology (AMH) – XV Congreso Nacional de Hepatología (23-25 de julio)
Páginas 19-20 (septiembre 2020)
42
Open Access
Comparison of two ROC curve-based methods for determining the cross-point critting frequency in the diagnosis of EHM
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A. Villaseñor-Todd1,2, F.J. Bosques-Padilla3,4, E. López-Soriano5,6,7, C.A. Cortez-Hernandez3, J.A. Hernández-Hernández8, C. López-Sanchez8
1 Investigación, Hospital Regional de Monterrey, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado Monterrey Nuevo León
2 Facultad de Medicina Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
3 Gastroenterologia, Hospital Universitario “Dr. José Eleuterio González”, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
4 Escuela de Medicina y Ciencias de la Salud, Tecnológico de Monterrey, Monterrey, México
5 EGADE Business School Tecnológico de Monterrey, Campus Monterrey, Nuevo Leon, México
6 Escuela nacional de ingenieria y ciencias, Tecnológico de Monterrey, Campus Monterrey, Nuevo Leon, México
7 Facultad de Ingeniería Mecánica y Eléctrica Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México
8 Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud y Laboratorio Nacional de Medicina de Sistemas, Monterrey, Nuevo León, México
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Background and aim: Minimal hepatic encephalopathy (MHE) is characterized by time of reaction, executive function, as well as high disability and mortality. There is an absence of a Gold Standard for its prognosis; the application of psychometric tests combined with neurophysiological tests to identify the presence of MHE is worldwide accepted. Critical flicker frequency (CFF)test is commonly used; however, there exist discrepancies with respect to the determination of the cutoff value.

Material and methods: While analyzing CFF's continuous scale, the application of Logistic Regression Analysis proved to be suitable to define the appropriate cutoff point. A set of 59 patients with hepatic cirrhosis were studied. The ROC curve showed ambiguities in the determination of the cutoff point when using “Youden's index” as well as the closest point on the graph to the upper left corner point. It was decided to apply Regression Analysis, Algebra, Analytic Geometry and Differential Calculus to determine the cutoff point. MINITAB software was used for computations.

Results: Regression allowed two different ways to reach the same conclusion: CFF's cutoff point is 38.0Hz to identify patients with MHE. CFF test is a promising tool but to be of help, it needs a valid cutoff point in the scale.

Financing: Project supported by the SS / IMSS / ISSSTE-CONACYT Sector Research Fund on Health and Social Security. 1-2017. 289979.

Project supported by the Budgetary Program E015 Research and Technological Development in Health of the ISSSTE.

Conflicts of interest: The authors have no conflicts of interest to declare.

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