Profil glucido-lipidique et risque cardiovasculaire chez les diabétiques de type 2 / Carbohydrate and lipid profile associated with cardiovascular risk in type 2 diabetics

Introduction-Le diabète est un véritable problème de santé publique du fait de ses nombreuses complications potentielles, notamment cardiovasculaires. Notre objectif était de décrire le profil clinico-biologique chez une population de diabé tique type 2 et d'étudier la relation entre l'équilibre glycémique et les anomalies lipidiques avec les complications micro et macroangiopathiques. Matériels et méthodes -Nous avons mené une étude rétrospective portant sur 341 pa tients diabétiques type 2.Les données ont été analysées par le logiciel IBM® SPSS statis tics 20.0. Seules, les associations significatives (p ≤ 5%) étaient retenues. Résultats - quatre-vingt deux pourcent et demi des patients ont un taux d'HbA1c ≥7 %. Plus de 60 % ont une dyslipidémie. Cinquante deux pourcent des patients ont un taux du LDLc ≤ 1 g/l, et 64,4 % ont un taux du Non-HDLc >1g/l. Environ 66 % des patients ont une hypertension artérielle. quarante pourcent des patients ont présenté une macroangio pathie et 66,8 % une microangiopathie (p=0,0001). L'analyse par régression logistique, a montré que l'HbA1c est le paramètre biologique le plus associé aux complications macroangiopathiques (p=0,008), alors que pour les complications micro-angiopathiques, l'HTA était le seul facteur associé (p = 0,03). Pour la cardiopathie ischémique, la dyslipi démie et l'HTA étaient les facteurs les plus associés. Conclusion -Notre étude a montré une fréquence élevée des complications micro et macroangiopathiques et des anomalies lipidiques, ainsi qu'un très mauvais équilibre glycémique. L'HbA1c, la dyslipidémie et l'HTA sont les facteurs les plus associés au risque cardiovasculaire.

Background-Diabetes is a real health public problem because of its many potential complications, particularly the cardiovascular ones.The aim of this work was to describe the clinical and biological profile in type 2 diabetic population, then to study the relationship between glycemic control and lipid abnormalities with micro and macro vascular complications. Methods - It was about a retrospective study of 341 type 2 diabetes patients' with an average age of 60.1 ± 11.71 years.The IBM® SPSS statistics 20.0 software was used for analyzing data. Only significant associations (p ≤ 5%) were retained. Results -An HbA1c level ≥7% was observed in 82,5% of patients, More than 60% have dyslipidemia. 52,8% of them have an LDLc level ≤ 1 g/l, and 64,4% have a Non-HDLc level >1g/l. Sixty-six percent of patients have high blood pressure. The macrovascular disorders were observed on 30,9% of patients and microvascular ones on 66,8% of them (p = 0.0001).The logistic regression analysis showed that HbA1c was the most significant biological parameter (p=0,008). while for micro-vascular complications, high blood pressure was the only associated factor (p = 0.03). For ischemic heart disease, dyslipidemia and high blood pressure were the most associated factors. Conclusion - this study showed a high frequency of micro and macrovascular complications, lipid abnormalities and a very poor glycemic control. The elevation of HbA1c level, the high blood pressure and dyslipidemia are the most associated factors with a high cardiovascular risk.

COVID-19 and diabetic ketoacidosis: A case series at an urban district hospital in South Africa

Coronavirus disease 2019 (COVID-19) is associated with an increased prevalence and mortality from diabetic ketoacidosis (DKA) globally. With limited access to specialised care, most patients with DKA in South Africa are managed at district hospital level. This study describes the profile of patients admitted to a district hospital in South Africa with DKA and COVID-19 and examines associated risk factors encountered. Methods: This was a case series of all patients presenting to a district hospital with DKA and COVID-19 infection between July 2020 and July 2021. Data extracted included patients' demographic profiles, biochemical results, comorbidities and clinical outcomes. Results: The median age of the 10 patients admitted during the study period was 39 years old (±12), six of whom were male. The hemoglobin A1c (HbA1c) values on admission ranged from 9.7 to 13.8. Five of the patients had pre-existing type 2 diabetes mellitus (DM). Four of the known DM patients were on metformin only, and one was on biphasic insulin. Three patients had other pre-existing comorbidities, two patients with hypertension and one with human immunodeficiency virus (HIV). Three patients demised, two of whom were hypoxic on admission. Conclusion: Diabetic ketoacidosis appears more commonly in COVID-19 infected patients with type 2 DM and at a young age. Suboptimal glycaemic control was associated with DKA, and hypoxia was a strong predictor for mortality. Treatment inertia was evident in the known DM group, who were on monotherapy despite persistent hyperglycaemia. Greater vigilance is required to detect ketosis in type 2 DM and intensify therapy to improve glycaemic control.

Predictors of anti-glycaemic medication-taking among adults with diabetes mellitus seeking care in a tertiary hospital in Cape Coast, Ghana

Objectives: This study sought to assess the level of anti-glycaemic medication-taking and its predictors among adults living with diabetes receiving treatment at Cape Coast Teaching Hospital (CCTH). Design: This was a cross-sectional study carried out among adults living with diabetes and receiving care at CCTH. Data on socio-demographic characteristics and anti-glycaemic medication-taking were gathered using a structured questionnaire. A scale consisting of 4 domains (filling prescribed medication; taking medications appropriately according to the instructions of healthcare professionals; practising behavioural modifications and showing up for follow-up appointments) and eight items was used to measure the level of anti-glycaemic medication-taking. Descriptive statistics, chi-square test (and Fisher's exact test where appropriate), bivariate and multivariate logistic regression models were used in analysing the data. Setting: The study was carried out in the diabetes clinic in Cape Coast Teaching Hospital. Participants: The total enumerative sampling technique was used to select 250 adults living with diabetes and receiving care at CCTH. Main outcome measures: Anti-glycaemic medication-taking Results: Out of 250 participants studied, 42% had high anti-glycaemic medication-taking. Predictors of anti-glycaemic medication-taking included forgetfulness (aOR=0.02, 95% CI: 0.00-0.64, p<0.001), patient's involvement in treatment plan (aOR=0.12, 95% CI: 0.02-0.64, p=0.014) and having good knowledge about one's medication (aOR=2.34, 95% CI: 1.10-4.98, p=0.028). Conclusion: Less than half of the sample population (42%) had high anti-glycaemic medication-taking, with forgetfulness, involvement in the treatment plan and good knowledge about anti-glycaemic medications, predicting medication-taking