BACKGROUND AND OBJECTIVE: The aim of this study was to validate the ability of the Finnish Diabetes Risk Score (FINDRISC) to predict the risk of DM2 in a population of south-eastern Spain (Pizarra Study). SUBJECTS AND METHODS: The Pizarra Study is a population-based prospective study developed in the town of Pizarra (Málaga). The first phase of the study was conducted in 1997-1998, including 1051 individuals aged 18-65 years randomly selected from the municipal census of the town. In 2003-2004 the subjects participating in the first study were reassessed. 824 individuals completed the second phase of the study (78.4%). All participants without known diabetes underwent an oral glucose tolerance test both at baseline and follow-up. We evaluated the ability of the FINDRISC to detect undiagnosed DM2 (first phase: cross-sectional study) and in predicting the incidence of DM2 (second phase: cohort study). RESULTS: The test showed good results both to detect undiagnosed DM2 (ROC-AUC 0.74) and to predict incident DM2 (ROC-AUC 0.75). The best prediction of risk of incident DM2 was found in those subjects with fasting glucose >100mg/dl and a FINDRISC ≥9 (OR: 19.37; 95%IC: 8,86-42,34; P<.0001). CONCLUSIONS: The results of our study show that FINDRISC can be a useful tool to detect subjects at high risk of diabetes in this population.
BACKGROUND AND OBJECTIVE: The aim of this study was to validate the ability of the Finnish Diabetes Risk Score (FINDRISC) to predict the risk of DM2 in a population of south-eastern Spain (Pizarra Study). SUBJECTS AND METHODS: The Pizarra Study is a population-based prospective study developed in the town of Pizarra (Málaga). The first phase of the study was conducted in 1997-1998, including 1051 individuals aged 18-65 years randomly selected from the municipal census of the town. In 2003-2004 the subjects participating in the first study were reassessed. 824 individuals completed the second phase of the study (78.4%). All participants without known diabetes underwent an oral glucose tolerance test both at baseline and follow-up. We evaluated the ability of the FINDRISC to detect undiagnosed DM2 (first phase: cross-sectional study) and in predicting the incidence of DM2 (second phase: cohort study). RESULTS: The test showed good results both to detect undiagnosed DM2 (ROC-AUC 0.74) and to predict incident DM2 (ROC-AUC 0.75). The best prediction of risk of incident DM2 was found in those subjects with fasting glucose >100mg/dl and a FINDRISC ≥9 (OR: 19.37; 95%IC: 8,86-42,34; P<.0001). CONCLUSIONS: The results of our study show that FINDRISC can be a useful tool to detect subjects at high risk of diabetes in this population.
Authors: María Carolina Muñoz-González; Marcos M Lima-Martínez; Aura Nava; Gisuardo Trerotola; Mariela Paoli; Julio O Cabrera-Rego; Briggytte Gonzalez; Amilcairy Arciniegas; Javier Paez Journal: Med Princ Pract Date: 2019-03-11 Impact factor: 1.927
Authors: Diego Gomez-Arbelaez; Laura Alvarado-Jurado; Miguel Ayala-Castillo; Leonardo Forero-Naranjo; Paul Anthony Camacho; Patricio Lopez-Jaramillo Journal: World J Diabetes Date: 2015-12-10
Authors: Anne Jølle; Kristian Midthjell; Jostein Holmen; Jaakko Tuomilehto; Sven M Carlsen; Jonathan Shaw; Bjørn O Åsvold Journal: BMJ Open Diabetes Res Care Date: 2016-06-22
Authors: Miguel Ángel Salinero-Fort; Carmen de Burgos-Lunar; José Mostaza Prieto; Carlos Lahoz Rallo; Juan Carlos Abánades-Herranz; Paloma Gómez-Campelo; Fernando Laguna Cuesta; Eva Estirado De Cabo; Francisca García Iglesias; Teresa González Alegre; Belén Fernández Puntero; Luis Montesano Sánchez; David Vicent López; Víctor Cornejo Del Río; Pedro J Fernández García; Concesa Sabín Rodríguez; Silvia López López; Pedro Patrón Barandío Journal: BMJ Open Date: 2015-07-28 Impact factor: 2.692
Authors: M A Salinero-Fort; C Burgos-Lunar; C Lahoz; J M Mostaza; J C Abánades-Herranz; F Laguna-Cuesta; E Estirado-de Cabo; F García-Iglesias; T González-Alegre; B Fernández-Puntero; L Montesano-Sánchez; D Vicent-López; V Cornejo-Del Río; P J Fernández-García; V Sánchez-Arroyo; C Sabín-Rodríguez; S López-López; P Patrón-Barandio; P Gómez-Campelo Journal: PLoS One Date: 2016-07-21 Impact factor: 3.240