Delay in the Detrended Fluctuation Analysis Crossover Point as a Risk Factor for Type 2 Diabetes Mellitus
Detrended Fluctuation Analysis (DFA) measures the complexity of a glucose time series obtained by means of a Continuous Glucose Monitoring System (CGMS) and has proven to be a sensitive marker of glucoregulatory dysfunction. Furthermore, some authors have observed a crossover point in the DFA, signa...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
|
| Series: | Journal of Diabetes Research |
| Online Access: | http://dx.doi.org/10.1155/2016/9361958 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832565790017060864 |
|---|---|
| author | Manuel Varela Luis Vigil Carmen Rodriguez Borja Vargas Rafael García-Carretero |
| author_facet | Manuel Varela Luis Vigil Carmen Rodriguez Borja Vargas Rafael García-Carretero |
| author_sort | Manuel Varela |
| collection | DOAJ |
| description | Detrended Fluctuation Analysis (DFA) measures the complexity of a glucose time series obtained by means of a Continuous Glucose Monitoring System (CGMS) and has proven to be a sensitive marker of glucoregulatory dysfunction. Furthermore, some authors have observed a crossover point in the DFA, signalling a change of dynamics, arguably dependent on the beta-insular function. We investigate whether the characteristics of this crossover point have any influence on the risk of developing type 2 diabetes mellitus (T2DM). To this end we recruited 206 patients at increased risk of T2DM (because of obesity, essential hypertension, or a first-degree relative with T2DM). A CGMS time series was obtained, from which the DFA and the crossover point were calculated. Patients were then followed up every 6 months for a mean of 17.5 months, controlling for the appearance of T2DM diagnostic criteria. The time to crossover point was a significant predictor risk of developing T2DM, even after adjusting for other variables. The angle of the crossover was not predictive by itself but became significantly protective when the model also considered the crossover point. In summary, both a delay and a blunting of the crossover point predict the development of T2DM. |
| format | Article |
| id | doaj-art-72f287a928de490aaa787258b934f9c1 |
| institution | Kabale University |
| issn | 2314-6745 2314-6753 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Diabetes Research |
| spelling | doaj-art-72f287a928de490aaa787258b934f9c12025-02-03T01:06:44ZengWileyJournal of Diabetes Research2314-67452314-67532016-01-01201610.1155/2016/93619589361958Delay in the Detrended Fluctuation Analysis Crossover Point as a Risk Factor for Type 2 Diabetes MellitusManuel Varela0Luis Vigil1Carmen Rodriguez2Borja Vargas3Rafael García-Carretero4Servicio de Medicina Interna, Hospital Universitario de Mostoles, Rio Jucar s/n, Mostoles, 28935 Madrid, SpainServicio de Medicina Interna, Hospital Universitario de Mostoles, Rio Jucar s/n, Mostoles, 28935 Madrid, SpainServicio de Medicina Interna, Hospital Universitario de Mostoles, Rio Jucar s/n, Mostoles, 28935 Madrid, SpainEuropean University of Madrid, Villaviciosa de Odón, SpainServicio de Medicina Interna, Hospital Universitario de Mostoles, Rio Jucar s/n, Mostoles, 28935 Madrid, SpainDetrended Fluctuation Analysis (DFA) measures the complexity of a glucose time series obtained by means of a Continuous Glucose Monitoring System (CGMS) and has proven to be a sensitive marker of glucoregulatory dysfunction. Furthermore, some authors have observed a crossover point in the DFA, signalling a change of dynamics, arguably dependent on the beta-insular function. We investigate whether the characteristics of this crossover point have any influence on the risk of developing type 2 diabetes mellitus (T2DM). To this end we recruited 206 patients at increased risk of T2DM (because of obesity, essential hypertension, or a first-degree relative with T2DM). A CGMS time series was obtained, from which the DFA and the crossover point were calculated. Patients were then followed up every 6 months for a mean of 17.5 months, controlling for the appearance of T2DM diagnostic criteria. The time to crossover point was a significant predictor risk of developing T2DM, even after adjusting for other variables. The angle of the crossover was not predictive by itself but became significantly protective when the model also considered the crossover point. In summary, both a delay and a blunting of the crossover point predict the development of T2DM.http://dx.doi.org/10.1155/2016/9361958 |
| spellingShingle | Manuel Varela Luis Vigil Carmen Rodriguez Borja Vargas Rafael García-Carretero Delay in the Detrended Fluctuation Analysis Crossover Point as a Risk Factor for Type 2 Diabetes Mellitus Journal of Diabetes Research |
| title | Delay in the Detrended Fluctuation Analysis Crossover Point as a Risk Factor for Type 2 Diabetes Mellitus |
| title_full | Delay in the Detrended Fluctuation Analysis Crossover Point as a Risk Factor for Type 2 Diabetes Mellitus |
| title_fullStr | Delay in the Detrended Fluctuation Analysis Crossover Point as a Risk Factor for Type 2 Diabetes Mellitus |
| title_full_unstemmed | Delay in the Detrended Fluctuation Analysis Crossover Point as a Risk Factor for Type 2 Diabetes Mellitus |
| title_short | Delay in the Detrended Fluctuation Analysis Crossover Point as a Risk Factor for Type 2 Diabetes Mellitus |
| title_sort | delay in the detrended fluctuation analysis crossover point as a risk factor for type 2 diabetes mellitus |
| url | http://dx.doi.org/10.1155/2016/9361958 |
| work_keys_str_mv | AT manuelvarela delayinthedetrendedfluctuationanalysiscrossoverpointasariskfactorfortype2diabetesmellitus AT luisvigil delayinthedetrendedfluctuationanalysiscrossoverpointasariskfactorfortype2diabetesmellitus AT carmenrodriguez delayinthedetrendedfluctuationanalysiscrossoverpointasariskfactorfortype2diabetesmellitus AT borjavargas delayinthedetrendedfluctuationanalysiscrossoverpointasariskfactorfortype2diabetesmellitus AT rafaelgarciacarretero delayinthedetrendedfluctuationanalysiscrossoverpointasariskfactorfortype2diabetesmellitus |