scholarly journals Lactic Acidosis in Diabetic Population: Is Metformin Implicated? Results of a Matched Case-Control Study Performed on the Type 2 Diabetes Population of Grenoble Hospital University

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Marion Lepelley ◽  
Joris Giai ◽  
Nassima Yahiaoui ◽  
Sébastien Chanoine ◽  
Céline Villier

Introduction. To evaluate the strength of association between lactic acidosis (LA) and well-recognized risk factors for LA, particularly the weight of metformin.Methods. This study is a matched case-control analysis concerning the type 2 diabetes population from Grenoble Hospital University. Cases of LA were defined biologically with pH < 7.35 and lactates > 5 mmol/L. They were matched to 2 controls defined as type 2 diabetic inpatients who did not present a LA during the study period. We performed a conditional logistic regression.Results. We included 302 cases and 604 controls; mean age was 69.5 years (SD 11.93). Intercurrent diseases were significantly associated with LA. Chronic medical conditions had a minor impact on LA incidence, except hepatocellular dysfunction. Metformin was significantly associated with a higher LA probability in case of acute kidney injury (AKI) (OR = 1.79;pvalue = 0.020) but not in patients without AKI.Discussion and Conclusions. According to this study, metformin, compared to acute medical conditions, seemed not to be associated with LA in patients with type 2 diabetes; however in case of AKI, metformin may be associated with LA.

2009 ◽  
Vol 33 (3) ◽  
pp. 295-296
Author(s):  
C. McAdam-Marx ◽  
J. Yu ◽  
V. Shankar ◽  
J. Bouchard ◽  
M. Aagren ◽  
...  

Author(s):  
Philip Andreas Schytz ◽  
Anders Bonde Nissen ◽  
Kristine Hommel ◽  
Morten Schou ◽  
Karl Emil Nelveg-Kristensen ◽  
...  

2018 ◽  
Vol 108 (3) ◽  
pp. 564-575 ◽  
Author(s):  
Lin Shi ◽  
Carl Brunius ◽  
Ingegerd Johansson ◽  
Ingvar A Bergdahl ◽  
Bernt Lindahl ◽  
...  

ABSTRACT Background Epidemiologic evidence on the association of a healthy Nordic diet and future type 2 diabetes (T2D) is limited. Exploring metabolites as biomarkers of healthy Nordic dietary patterns may facilitate investigation of associations between such patterns and T2D. Objectives We aimed to identify metabolites related to a priori-defined healthy Nordic dietary indexes, the Baltic Sea Diet Score (BSDS) and Healthy Nordic Food Index (HNFI), and evaluate associations with the T2D risk in a case-control study nested in a Swedish population-based prospective cohort. Design Plasma samples from 421 case-control pairs at baseline and samples from a subset of 151 healthy controls at a 10-y follow-up were analyzed with the use of untargeted liquid chromatography-mass spectrometry metabolomics. Index-related metabolites were identified through the use of random forest modelling followed by partial correlation analysis adjustment for lifestyle confounders. Metabolite patterns were derived via principal component analysis (PCA). ORs of T2D were estimated via conditional logistic regression. Reproducibility of metabolites was assessed by intraclass correlation (ICC) in healthy controls. Associations were also assessed for 10 metabolites previously identified as linking a healthy Nordic diet with T2D. Results In total, 31 metabolites were associated with BSDS and/or HNFI (−0.19 ≤ r ≤ 0.21, 0.10 ≤ ICC ≤ 0.59). Two PCs were determined from index-related metabolites: PC1 strongly correlated to the indexes (r = 0.27 for BSDS, r = 0.25 for HNFI, ICC = 0.45) but showed no association with T2D risk. PC2 was weakly associated with the indexes, but more strongly with foods not part of the indexes, e.g., pizza, sausages, and hamburgers. PC2 was also significantly associated with T2D risk. Predefined metabolites were confirmed to be reflective of consumption of whole grains, fish, or vegetables, but not related to T2D risk. Conclusions Our study did not support an association between healthy Nordic dietary indexes and T2D. However, foods such as hamburger, sausage, and pizza not covered by the indexes appeared to be more important for T2D risk in the current population.


Author(s):  
Zahra Heidari ◽  
Awat Feizi ◽  
Ammar Hassanzadeh Keshteli ◽  
Hamid Afshar ◽  
Hamidreza Roohafza ◽  
...  

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