Josep Franch-Nadal

Control of Glycemia and Cardiovascular Risk Factors in Patients With Type 2 Diabetes in Primary Care in Catalonia (Spain)

OBJECTIVE The objective of this study was to analyze the clinical characteristics and levels of glycemic and cardiovascular risk factor control in patients with type 2 diabetes that are in primary health care centers in Catalonia (Spain). RESEARCH DESIGN AND METHODS This was a cross-sectional study of a total population of 3,755,038 individuals aged 31–90 years at the end of 2009. Clinical data were obtained retrospectively from electronic clinical records. RESULTS A total of 286,791 patients with type 2 diabetes were identified (7.6%). Fifty-four percent were men, mean (SD) age was 68.2 (11.4) years, and mean duration of disease was 6.5 (5.1) years. The mean (SD) A1C value was 7.15 (1.5)%, and 56% of the patients had A1C values ≤7%. The mean (SD) blood pressure (BP) values were 137.2 (13.8)/76.4 (8.3) mmHg, mean total cholesterol concentration was 192 (38.6) mg/dL, mean HDL cholesterol concentration was 49.3 (13.2) mg/dL, mean LDL cholesterol (LDL-C) concentration was 112.5 (32.4) mg/dL, and mean BMI was 29.6 (5) kg/m2. Thirty-one percent of the patients had BP values ≤130/80 mmHg, 37.9% had LDL-C values ≤100 mg/dL, and 45.4% had BMI values ≤30 kg/m2. Twenty-two percent were managed exclusively with lifestyle changes. Regarding medicated diabetic patients, 46.9, 22.9, and 2.8% were prescribed one, two, or three antidiabetic drugs, respectively, and 23.4% received insulin therapy. CONCLUSIONS The results from this study indicate a similar or improved control of glycemia, lipids, and BP in patients with type 2 diabetes when compared with previous studies performed in Spain and elsewhere.

Fifteen years of continuous improvement of quality care of type 2 diabetes mellitus in primary care in Catalonia, Spain

Aims:  To assess the evolution of type 2 diabetes mellitus (T2DM) quality indicators in primary care centers (PCC) as part of the Group for the Study of Diabetes in Primary Care (GEDAPS) Continuous Quality Improvement (GCQI) programme in Catalonia.

Clinical inertia in the treatment of hyperglycemia in type 2 diabetes patients in primary care

Abstract Objective: To assess clinical inertia, defined as failure to intensify antidiabetic treatment of patients who have not achieved the HbA1c therapeutic goal (≤7%). Research design and methods: Multicenter cross-sectional study. Clinical inertia was assessed in a random sample of type 2 diabetes mellitus (T2DM) patients seen in primary care centers. Results: A total of 2783 patients (51.3% males; mean age: 68 [±11.5] years; diabetes duration: 7.1 [±5.6] years; mean HbA1c: 6.8 [±1.5]) were analyzed. Of those, 997 (35.8%) had HbA1c >7%. Treatment was intensified in 66.8% and consisted of: dose increase (40.5%); addition of oral antidiabetic (45.8%); or insulin treatment initiation (3.7%). Mean HbA1c values in patients for whom treatment was intensified vs. non-intensified were 8.4% (±1.2) vs. 8.2% (±1.2), p < 0.05. Clinical inertia was detected in 33.2% of patients and diminished along with treatment complexity: lifestyle changes only (38.8%), oral monotherapy (40.3%), combined oral antidiabetics (34.5%), insulin monotherapy (26.1%) and combination of insulin and oral antidiabetics (21.4%). Clinical inertia decreased as HbA1c increased: 37.3% for HbA1c values ranging between 7.1%–8%; 29.4% for the 8.1%–9% HbA1c range and 27.1% for HbA1c ≥9%. Multivariate analysis confirmed that diabetes duration, step of treatment and HbA1c were related to inertia. For each unit of HbA1c increase clinical inertia decreased 47% (OR: 0.53). Limitations: The retrospective design of the study precluded an accurate investigation about reasons for lack of intensification that could actually be justified by some patient conditions, especially patients’ lack of adherence. Conclusions: Clinical inertia affected one third of T2DM patients with poor glycemic control and was greater in patients treated with only lifestyle changes or oral monotherapy. Treatment changes were performed when mean HbA1c values were 1.4 points above therapeutic goals.

Chronic kidney disease in the type 2 diabetic patients: prevalence and associated variables in a random sample of 2642 patients of a Mediterranean area

BackgroundKidney disease is associated with an increased total mortality and cardiovascular morbimortality in the general population and in patients with Type 2 diabetes. The aim of this study is to determine the prevalence of kidney disease and different types of renal disease in patients with type 2 diabetes (T2DM).MethodsCross-sectional study in a random sample of 2,642 T2DM patients cared for in primary care during 2007. Studied variables: demographic and clinical characteristics, pharmacological treatments and T2DM complications (diabetic foot, retinopathy, coronary heart disease and stroke). Variables of renal function were defined as follows: 1) Microalbuminuria: albumin excretion rate & 30 mg/g or 3.5 mg/mmol, 2) Macroalbuminuria: albumin excretion rate & 300 mg/g or 35 mg/mmol, 3) Kidney disease (KD): glomerular filtration rate according to Modification of Diet in Renal Disease < 60 ml/min/1.73 m2 and/or the presence of albuminuria, 4) Renal impairment (RI): glomerular filtration rate < 60 ml/min/1.73 m2, 5) Nonalbuminuric RI: glomerular filtration rate < 60 ml/min/1.73 m2 without albuminuria and, 5) Diabetic nephropathy (DN): macroalbuminuria or microalbuminuria plus diabetic retinopathy.ResultsThe prevalence of different types of renal disease in patients was: 34.1% KD, 22.9% RI, 19.5% albuminuria and 16.4% diabetic nephropathy (DN). The prevalence of albuminuria without RI (13.5%) and nonalbuminuric RI (14.7%) was similar. After adjusting per age, BMI, cholesterol, blood pressure and macrovascular disease, RI was significantly associated with the female gender (OR 2.20; CI 95% 1.86–2.59), microvascular disease (OR 2.14; CI 95% 1.8–2.54) and insulin treatment (OR 1.82; CI 95% 1.39–2.38), and inversely associated with HbA1c (OR 0.85 for every 1% increase; CI 95% 0.80–0.91). Albuminuria without RI was inversely associated with the female gender (OR 0.27; CI 95% 0.21–0.35), duration of diabetes (OR 0.94 per year; CI 95% 0.91–0.97) and directly associated with HbA1c (OR 1.19 for every 1% increase; CI 95% 1.09–1.3).ConclusionsOne-third of the sample population in this study has KD. The presence or absence of albuminuria identifies two subgroups with different characteristics related to gender, the duration of diabetes and metabolic status of the patient. It is important to determine both albuminuria and GFR estimation to diagnose KD.

Older type 2 diabetic patients are more likely to achieve glycaemic and cardiovascular risk factors targets than younger patients: analysis of a primary care database.

Older subjects with type 2 diabetes mellitus (T2DM) have differential characteristics compared with middle‐aged or younger populations, and require tailored management of the disease.

Differences in the Cardiometabolic Control in Type 2 Diabetes according to Gender and the Presence of Cardiovascular Disease: Results from the eControl Study

The objective of this cross-sectional study was to assess differences in the control and treatment of modifiable cardiovascular risk factors (CVRF: HbA1c, blood pressure [BP], LDL-cholesterol, body mass index, and smoking habit) according to gender and the presence of cardiovascular disease (CVD) in patients with type 2 diabetes mellitus (T2DM) in Catalonia, Spain. The study included available data from electronic medical records for a total of 286,791 patients. After controlling for sex, age, diabetes duration, and treatment received, both men and women with prior CVD had worse cardiometabolic control than patients without previous CVD; women with prior CVD had worse overall control of CVRFs than men except for smoking; and women without prior CVD were only better than men at controlling smoking and BP, with no significant differences in glycemic control. Finally, although the proportion of women treated with lipid-lowering medications was similar to (with prior CVD) or even higher (without CVD) than men, LDL-cholesterol levels were remarkably uncontrolled in both women with and women without CVD. The results stress the need to implement measures to better prevent and treat CVRF in the subgroup of diabetic women, specifically with more intensive statin treatment in those with CVD.

Treatment of Hyperglycaemia in Type 2 Diabetic Patients in a Primary Care Population Database in a Mediterranean Area (Catalonia, Spain)

Aim: To analyse glycaemic control and antihyperglycaemic treatment in patients with varying duration of type 2 diabetes in a population-based database. Methods: A cross-sectional survey of 286,791 patients with type 2 diabetes registered in the primary care centres of the Catalan Health Institute (Catalonia, Spain) in 2009. We analysed the effects of types of treatment, diabetes duration and renal function on glycaemic control, adjusting for other clinical variables. Results: Twenty-four percent of patients were treated with lifestyle changes only, 35.5% with oral glucoselowering monotherapy, 21% with oral combinations and 17.7% with insulin (alone or in combination). Insulin was more frequently used in patients with longer duration of diabetes or severe renal impairment. Fifty-six percent of patients achieved the optimal target of HbA1c ≤ 7% (≤ 53 mmol/mol), a result more frequently observed in patients older than 65, early in the course of the disease and at the lower steps of treatment (p<0.001). Impaired renal function was present in 18.4% of patients. A significant number of patients with severe renal impairment were taking metformin (16.2%) or sulfonylureas (12.1%), which are contraindicated at this stage. Multivariable analyses confirmed that lower steps of treatment, advanced age and lesser years of diabetes duration were the variables positively related to good glycaemic control. Conclusions: Glycaemic control deteriorates with the progression of the disease despite the treatment intensification. Impaired renal function was frequent and a remarkable proportion of these patients were taking contraindicated drugs.

Glycaemic control and antidiabetic treatment trends in primary care centres in patients with type 2 diabetes mellitus during 2007–2013 in Catalonia: a population-based study

Objectives To assess trends in prescribing practices of antidiabetic agents and glycaemic control in patients with type 2 diabetes mellitus (T2DM). Design Cross-sectional analysis using yearly clinical data and antidiabetic treatments prescribed obtained from an electronic population database. Setting Primary healthcare centres, including the entire population attended by the Institut Català de la Salut in Catalonia, Spain, from 2007 to 2013. Participants Patients aged 31–90 years with a diagnosis of T2DM. Results The number of registered patients with T2DM in the database was 257 072 in 2007, increasing up to 343 969 in 2013. The proportion of patients not pharmacologically treated decreased by 9.7% (95% CI −9.48% to −9.92%), while there was an increase in the percentage of patients on monotherapy (4.4% increase; 95% CI 4.16% to 4.64%), combination therapy (2.8% increase; 95% CI 2.58% to 3.02%), and insulin alone or in combination (increasing 2.5%; 95% CI 2.2% to 2.8%). The use of metformin and dipeptidyl peptidase-IV inhibitors increased gradually, while sulfonylureas, glitazones and α-glucosidase inhibitors decreased. The use of glinides remained stable, and the use of glucagon-like peptide-1 receptor agonists was still marginal. Regarding glycaemic control, there were no relevant differences across years: mean glycated haemoglobin (HbA1c) value was around 7.2%; the percentage of patients reaching an HbA1c≤7% target ranged between 52.2% and 55.6%; and those attaining their individualised target from 72.8% to 75.7%. Conclusions Although the proportion of patients under pharmacological treatment increased substantially over time and there was an increase in the use of combination therapies, there have not been relevant changes in glycaemic control during the 2007–2013 period in Catalonia.

Cardiometabolic Risk Profiles in Patients With Impaired Fasting Glucose and/or Hemoglobin A1c 5.7% to 6.4%: Evidence for a Gradient According to Diagnostic Criteria The PREDAPS Study

AbstractIt has been suggested that the early detection of individuals with prediabetes can help prevent cardiovascular diseases. The purpose of the current study was to examine the cardiometabolic risk profile in patients with prediabetes according to fasting plasma glucose (FPG) and/or hemoglobin A1c (HbA1c) criteria.Cross-sectional analysis from the 2022 patients in the Cohort study in Primary Health Care on the Evolution of Patients with Prediabetes (PREDAPS Study) was developed. Four glycemic status groups were defined based on American Diabetes Association criteria. Information about cardiovascular risk factors–body mass index, waist circumference, blood pressure, cholesterol, triglycerides, uric acid, gamma-glutamyltransferase, glomerular filtration–and metabolic syndrome components were analyzed. Mean values of clinical and biochemical characteristics and frequencies of metabolic syndrome were estimated adjusting by age, sex, educational level, and family history of diabetes.A linear trend (P < 0.001) was observed in most of the cardiovascular risk factors and in all components of metabolic syndrome. Normoglycemic individuals had the best values, individuals with both criteria of prediabetes had the worst, and individuals with only one–HbA1c or FPG–criterion had an intermediate position. Metabolic syndrome was present in 15.0% (95% confidence interval: 12.6–17.4), 59.5% (54.0–64.9), 62.0% (56.0–68.0), and 76.2% (72.8–79.6) of individuals classified in normoglycemia, isolated HbA1c, isolated FPG, and both criteria groups, respectively.In conclusion, individuals with prediabetes, especially those with both criteria, have worse cardiometabolic risk profile than normoglycemic individuals. These results suggest the need to use both criteria in the clinical practice to identify those individuals with the highest cardiovascular risk, in order to offer them special attention with intensive lifestyle intervention programs.

Metabolic control and cardiovascular risk factors in type 2 diabetes mellitus patients according to diabetes duration.

BACKGROUND Control of glycaemic levels as well as cardiovascular risk factors (CVRF) is essential to prevent the onset of complications associated with type 2 diabetes mellitus (T2DM). AIM To describe the degree of glycaemic control and CVRF in relation to diabetes duration. PATIENTS AND METHODS Multicentre cross-sectional study in T2DM patients seen in primary care centres during 2007. VARIABLES Demographical and clinical characteristics, antidiabetic treatments and development of disease complications. Diabetes duration classification: 0-5, 6-10, 11-20 and >20 years. Logistic regression models were used in the analysis. RESULTS A total of 3130 patients; 51.5% males; mean age: 68±11.7 years; mean diabetes duration:7.0 (±5.6) years, median: 5 (interquartile range:3-9) years; mean HbA1c: 6.84 (±1.5), were analyzed. There has been a progressive decline in HbA1c levels (HbA1c > 7% in 25.8% of patients during the first 5 years and 51.8% after 20 years). Blood pressure values remained relatively stable throughout disease duration. The mean value of low density lipoprotein (LDL) experienced a slight decline with the progression of the disease, but due to the significant increase of cardiovascular disease (CVD) after 20 years of duration, less patients reached the recommended target (LDL < 100mg/dl) in secondary prevention. Logistic regression model controlling for age, sex and CVD showed that diabetes duration was related to glycaemic control (odds ratio: 1.066, 95% confidence interval: 1.050-1.082 per year) but not to blood pressure or LDL control. CONCLUSIONS The degree of glycaemic control and the risk factors in relation to the duration of T2DM followed different patterns. Diabetes duration was associated with a poorer glycaemic control but in general had a limited role in blood pressure control or lipid profile.