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Study of variation glycated haemoglobin in diabetic patients using PCA method. Case study: Moroccan eastern region.

ABSTRACT: In collaboration with the regional centre of diabetes and chronic diseases, we will present in this work, the variability of glycated haemoglobin of 200 diabetic patients, in the eastern region of Morocco. This work is the analysis of the values of glycated haemoglobin in the three quarters of the study in 2021, which are presented by variable quantitative values with the statistical method principal component analysis PCA. This study also includes an analysis of socio-demographic parameters, which are analysed by the multiple correspondence analysis MCA method. The proposed approach will be used to study the distribution of patients in a subset of equi-qualities according to the duration of evolution and type of diabetes. This analysis allowed us to understand and know the distribution of the Eastern population. This allows us to begin a more in-depth analysis of our sample and the various complications of diabetes, particularly diabetic retinopathy, which remains a major public health problem in Morocco, in order to develop more appropriate strategies for the management of diabetic patients in the Eastern region of Morocco.

SUBMITTER: Oujidi W

PROVIDER: S-EPMC9486720 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Study of variation glycated haemoglobin in diabetic patients using PCA method. Case study: Moroccan eastern region.

Oujidi Wissale W Sekhsoukh Rachid R Harrar Youssef Y Mehdi Mohammed Amine MA

Annals of medicine and surgery (2012) 20220827

In collaboration with the regional centre of diabetes and chronic diseases, we will present in this work, the variability of glycated haemoglobin of 200 diabetic patients, in the eastern region of Morocco. This work is the analysis of the values of glycated haemoglobin in the three quarters of the study in 2021, which are presented by variable quantitative values with the statistical method principal component analysis PCA. This study also includes an analysis of socio-demographic parameters, wh ...[more]

PMID: 36147076

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Project description:ObjectiveTo examine the relationship between glycated haemoglobin A1c (HbA1c) levels and the risk of cardiovascular outcomes and all-cause mortality based on data from observational studies and to determine the optimal levels of HbA1c for preventing cardiovascular events and/or mortality in diabetic and non-diabetic populations.Review methodsWe systematically searched Medline, Embase, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews and Web of Science databases, from inception to July 2016, for observational studies addressing the association of HbA1c levels with mortality and cardiovascular outcomes. Random effects models were used to compute pooled estimates of HR and respective 95% CI for all-cause mortality, cardiovascular mortality and risk of cardiovascular events, separately for people with and without diabetes.ResultsSeventy-four published studies were included in the systematic review, but only 46 studies could be incorporated in the meta-analysis. In both diabetic and non-diabetic populations, there was an increase in the risk of all-cause mortality when HbA1c levels were over 8.0% and 6.0%, respectively. The highest all-cause mortality in people with diabetes was HbA1c above 9.0% (HR=1.69; 95% CI 1.09 to 2.66) and in those without diabetes was HbA1c above 6.0% (HR=1.74; 95% CI 1.38 to 2.20). However, both diabetic and non-diabetic populations with lower HbA1c levels (below 6.0% HR=1.57; 95% CI 1.14 to 2.17 and below 5.0% HR=1.19; 95% CI 1.04 to 1.36, respectively) had higher all-cause mortality. Similar pooled estimates were found when cardiovascular mortality was the outcome variable.ConclusionHbA1c is a reliable risk factor of all-cause and cardiovascular mortality in both diabetics and non-diabetics. Our findings establish optimal HbA1c levels, for the lowest all-cause and cardiovascular mortality, ranging from 6.0% to 8.0% in people with diabetes and from 5.0% to 6.0% in those without diabetes.

Dataset Information

Study of variation glycated haemoglobin in diabetic patients using PCA method. Case study: Moroccan eastern region.

Publications

Study of variation glycated haemoglobin in diabetic patients using PCA method. Case study: Moroccan eastern region.

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