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Vol. 214. Issue 8.
Pages 429-436 (November 2014)
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Vol. 214. Issue 8.
Pages 429-436 (November 2014)
Original article
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Glycemic control in patients with type 2 diabetes mellitus in Spain
Control glucémico en pacientes con diabetes mellitus tipo 2 en España
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688
A. Péreza,b,
Corresponding author
aperez@santpau.cat

Corresponding author.
, J.J. Mediavillac, I. Miñambresa, D. González-Segurad
a Servicio de Endocrinología y Nutrición, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
b Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM) , Barcelona, Spain
c Centro de Salud Burgos Rural Sur, Burgos, Spain
d Departamento Médico Almirall S.A., Barcelona, Spain
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Tables (3)
Table 1. Clinical characteristics of the study population and differences between patients with HbA1c levels <7% and those with HbA1c levels ≥7%.
Table 2. Hyperglycemia treatment, glycemic control, hypoglycemia and weight changes in the previous year in the study population. Differences between patients with HbA1c levels <7% and those with HbA1c levels ≥7%.
Table 3. Factors associated with an HbA1c value <7% in the logistic regression analysis.
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Abstract
Objective

To evaluate the degree of glycemic control in patients with type 2 diabetes in Spain and identify factors associated with glycemic control.

Patients and methods

This was a cross-sectional, multicenter, epidemiological study that used consecutive sampling and was conducted in primary care practices in Spain. A total of 5591 patients with type 2 diabetes mellitus lasting more than 1 year and who were treated with hypoglycemic agents for more than 3 months were included in the study. At a single visit, HbA1c levels were measured (A1cNow+ system) and demographic and clinical variables related to diabetes and its treatment were recorded. During the visit, CV risk factors (CVRF), the presence of target-organ damage (TOD), the presence of hypoglycemia and body weight changes within the previous year were recorded.

Results

We analyzed data from 5382 patients (mean age 66.7 [10.8] years, mean duration of the diabetes 8.8 [6.3] years). TOD was present in 43.6% of the patients and 59.1% were taking 2 or more drugs. The patients’ mean HbA1c was 7.1 (1.1)%, and 48.6% had HbA1c levels <7.0%. The patients with HbA1c levels ≥7.0% had longer-standing diabetes, a higher prevalence of TOD and CVRF, used more complex therapies, experienced more hypoglycemic episodes in the previous year and had more weight gain. In the multivariate analysis, the absence of insulin treatment, the absence of abdominal obesity and atherogenic dyslipidemia, a duration of the diabetes <10 years and an age >70 years were associated with improved glycemic control.

Conclusions

Patients with poorly controlled type 2 diabetes mellitus are highly prevalent in Spain. Factors associated with poorer glycemic control include the complexity of both the disease and the hypoglycemic therapy, a history of hypoglycemia and weight gain.

Keywords:
Type 2 diabetes
Glycemic control
Duration of diabetes
Atherogenic dyslipidemia
Oral antidiabetic agents
Insulin therapy
Primary care
Resumen
Objetivo

Evaluar el grado de control glucémico en los pacientes con diabetes tipo 2 (DM2) en España, e identificar los factores asociados con el nivel de control glucémico.

Pacientes y métodos

Estudio epidemiológico transversal, multicéntrico realizado en consultas de atención primaria en España. Se incluyeron 5.591 pacientes con DM2 (>1 año evolución) y con tratamiento farmacológico (>3 meses). En una única visita, se determinó la HbA1c (sistema A1cNow+) y se registraron las variables relacionadas con la diabetes y su tratamiento, los factores de riesgo cardiovascular (FRCV), la presencia de lesiones de órgano diana (LOD), y la presencia de hipoglucemia y modificación del peso en el año previo.

Resultados

Se analizaron los datos de 5.382 pacientes (edad media 66,7 años; 8,8 años de evolución); el 43,6% presentaban alguna LOD y el 59,1% recibían ≥2 fármacos. La HbA1c media fue de 7,1 (1,1)% y el 48,6% tenían HbA1c <7,0%. Los pacientes con HbA1c ≥7,0% presentaban mayor duración de la diabetes, mayor prevalencia de LOD y FRCV, usaban terapias más complejas y en el año previo presentaron más hipoglucemias y mayor aumento de peso. En el análisis multivariante, la ausencia de tratamiento con insulina, la ausencia de obesidad abdominal y dislipemia aterogénica, el tiempo de evolución de DM2 <10 años y la edad >70 años se asociaron con mejor control glucémico.

Conclusiones

la proporción de DM2 con deficiente control en España es elevada. Los factores que reflejan la complejidad de la enfermedad y del tratamiento hipoglucemiante, así como el antecedente de hipoglucemia y aumento de peso, se asocian con peor control glucémico.

Palabras clave:
Diabetes tipo 2
Control glucémico
Duración de la diabetes
Dislipemia aterogénica
Antidiabéticos orales
Insulinoterapia
Atención primaria
Full Text

What we know?

Glycemic control (HbA1c) is an essential determinant in the progression of type 2 diabetes mellitus (the prevalence of DM2 in the Spanish population is 13.8%). This study assessed the degree of glycemic control with a new procedure for measuring HbA1c in the doctor's office as well as the factors associated with good control.

What this article provides?

In 5382 patients with DM2 (mean age, 67 years), the mean HbA1C was 7.1%, and 49% of the patients had <7.0% (good control). Forty-four percent had an organ lesion and 59% took 2 or more diabetes drugs. The factors associated with good control in the multivariate analysis were a progression time <10 years, age >70 years and an absence of abdominal obesity, atherogenic dyslipidemia and insulin treatment.

The Editors

Background

Diabetes mellitus is a chronic disease with a prevalence of 13.8% in our community.1 The microvascular and macrovascular complications of diabetes, as well as its high cardiovascular mortality, make diabetes a disease with considerable health and social repercussions. The disease requires continuous care and represents a significant consumption of healthcare resources.2 Treatment according to clinical practice guidelines has demonstrated a reduction in morbidity and mortality and improvements in the quality of life.3–5 However, most studies (regardless of country) show considerable difficulty in achieving the therapeutic objectives, especially in terms of glycemic control. In Spain, the most recent studies performed in primary care show that >40% of patients have HbA1c levels >7.0%.6–8 In a previous study performed on a population with type 2 diabetes (DM2) who were treated in primary and specialized care in which 97.8% of the patients were treated with drugs, we observed that only 40.4% of the patients had HbA1c levels <7.0%. Furthermore, this proportion decreased with the progression of the disease, as well as the complexity of the process and of the treatment.8 One of the major limitations of most of these studies is the lack of information on the methods used to determine HbA1c levels and the scarce information on factors that could contribute to glycemic control, especially weight fluctuations, the presence of hypoglycemia and the insulin regimen used.

The present study is therefore designed to assess the degree of glycemic control in individuals with DM2 using the measurement of HbA1c levels with the A1cNow+ system and identify factors (related to diabetes and hyperglycemia therapy) associated with the degree of glycemic control, including the insulin regimen, changes in body weight and the presence of hypoglycemia the previous year.

Participants and methodsStudy design

This was an epidemiological, cross-sectional and multicenter study, with sequential sampling performed in primary care consultations throughout Spain under standard clinical practice conditions between 2011 and 2012. A total of 1797 researchers participated in the study in a nonrandom distribution among the 13 autonomous communities of Spain. These researchers recruited the first 3 patients with DM2 who visited their office and met the inclusion and exclusion criteria.

The study included patients who were 18 years or older, diagnosed with DM2 at least 12 months prior to inclusion, treated with an antidiabetic drug regimen for at least 3 months prior to inclusion in the study and having HbA1c levels in capillary blood measured in the study visit with the A1cNow+ system. The study excluded patients with type 1 diabetes, secondary diabetes, DM2 with no drug treatment and patients who presented a clinically relevant medical condition, which at the investigator's discretion made their participation in the study inadvisable. The study also excluded patients whose capillary HbA1c values on the day of the visit were not available and those with unspecified hyperglycemic treatment.

Variables recorded in the study and assessment criteria

The main variable was the HbA1c level in capillary blood measured using the A1cNow+ system, which demonstrates adequate precision compared with standardized laboratory methods (National Glycohemoglobin Standardization Program).9 Adequate glycemic control was defined as an HbA1c level <7.0%.

In addition, demographic and anthropometric data (age, sex, height, weight, body mass index [BMI], abdominal circumference), tobacco consumption (cigarettes/day) and blood pressure were recorded. The laboratory data correspond to values of the last laboratory test prior to the consultation and included the following: total cholesterol (mg/dL), low-density lipoprotein cholesterol (mg/dL), high-density lipoprotein cholesterol (mg/dL), triglycerides (mg/dL) and albuminuria (mg/g creatinine). The glomerular filtration rate was determined using the Modification of Diet in Renal Disease formula. The cardiovascular risk factors (CRF) were defined according to the criteria of the American Diabetes Association. Microalbuminuria was defined as a creatinine value ≥30mg/g on 2 occasions. The classification of the Kidney Disease Outcomes Quality Initiative was used to define the kidney disease stages.

The presence of target-organ damage (TOD) was recorded while considering the following: (1) heart disease (left ventricular hypertrophy, heart failure or atrial fibrillation), (2) any macrovascular lesion in the heart (angina, acute myocardial infarction, revascularization), cerebrovascular lesion (transient ischemic attack, stroke) or peripheral arterial disease (lower limb arteriopathy, vascular amputation) and (3) any microvascular lesion in the eyes (proliferative and nonproliferative diabetic retinopathy, amaurosis), kidneys (microalbuminuria, proteinuria, renal failure) or nervous system (diabetic neuropathy, diabetic foot).

We recorded the diabetes progression time, whether the patient self-controlled their glycemia, the presence of hypoglycemia and changes in weight in the year prior to the visit, according to the data extracted from the medical history.

The study was approved by the Assessment, Support and Prevention Unit of the Hospital Clinic of Barcelona and was performed according to the principles of the Declaration of Helsinki and the Good Clinical Practice standards. Written informed consent was obtained from the participants of before their enrollment in the study.

Statistical analysis

The continuous variables are expressed as mean (standard deviation), and the qualitative variables are expressed as frequencies and 95% confidence intervals (95% CI). Parametric variables were compared using Student's t-test for the comparison of 2 independent groups or ANOVA for independent groups. Nonparametric variables were compared using the Mann–Whitney U or Kruskal–Wallis test, depending on the nature of the variables. We used the chi-squared test χ for the qualitative variables.

A multiple logistic regression analysis was performed, with a backwards stepwise correction procedure, using the conditional criterion and using the degree of diabetes control as the dependent variable. To determine the variables associated with good glycemic control (HbA1c <7.0%), we performed a multivariate analysis. The variables considered were age (>70 years/≤70 years), diabetes progression time (>10 years/≤10 years), presence/absence of the combined variable triglycerides >150mg/dL and HDL cholesterol <40mg/dL (in women, <50mg/dL) and abdominal circumference >102cm (in women, >88cm), estimated glomerular filtration rate (eGFR) (<60mL/min/1.73m2/≥60mL/min/1.73m2), presence/absence of insulin treatment, existence/absence of hypoglycemia in the previous year, self-monitoring/no self-monitoring of glycemia and increase/no increase of weight in the previous year. The significance threshold adopted for all tests was 0.05 (bilateral). The statistical analysis was performed with the SAS statistical package (version 9.3).

Results

A total of 5591 patients were enrolled, 209 of whom (3.7%) were excluded for meeting exclusion criteria. Thus, a total of 5382 patients were analyzed, allowing for a precision of 1.35%. The mean HbA1c level determined by the A1cNow+ system was 7.1% (1.1), and 48.6% of the patients (95% CI 47.3–50) had an HbA1c level <7.0%. The main clinical characteristics of the study population and the differences between the patients with HbA1c levels <7.0% and those with HbA1c levels ≥7.0% are summarized in Table 1. The patients with HbA1c levels ≥7.0% had longer lasting diabetes and a higher prevalence of associated processes and delayed complications.

Table 1.

Clinical characteristics of the study population and differences between patients with HbA1c levels <7% and those with HbA1c levels ≥7%.

  Total (n=5382)HbA1c <7.0% (n=2617)HbA1c ≥7.0% (n=2765)pa 
  n    n    n     
Males (%)  2845  53%  2615  54.5%  2757  48.5%  <.05 
Mean age, y (SD)  5333  66.7 (10.8)  2598  66.9 (11)  2735  66.4 (10.6)  .037 
Mean BMI, kg/m2(SD)  5103  29.9 (5)  2496  29.5 (4.8)  2607  30.3 (5.1)  <.0001 
<25  713  13.9%  407  57. 1%  306  42.9%   
≥25–30  2175  42.6%  1090  50.1%  1085  49.9%   
≥30–35  1508  29.5%  693  46%  815  54%   
≥35–40  504  9.8%  227  45%  277  55%   
≥40  203  4%  79  38.9%  124  61.1%   
Abdominal circumference, cm (SD)  4390  102.2 (13.3)  2134  101.4 (13.2)  2256  103 (13.4)  .0006 
Years since diagnosis (SD)  5157  8.8 (6.3)  2503  7.9 (6)  2654  9.6 (6.5)  <.0001 
<5 years  1355  26.3%  823  60.7%  532  39.3%   
≥5–10 years  1762  34.2%  855  48.5%  907  51.5%   
≥10–15 years  1211  23.5%  512  42.3%  699  57.7%   
≥15–20 years  410  7.9%  149  36.3%  261  63.7%   
≥20 years  419  8.1%  164  39.1%  255  60.9%   
CRF
Arterial hypertension  3996  74.7%  1920  73.8%  2076  75.6%  .3059 
Smoking  784  14.8%  335  13.0%  449  16.5%  .0017 
Dyslipidemia  3856  72.9%  1795  69.9%  2061  75.8%  <.0001 
Abdominal obesity*  3078  70.1%  1454  68.1%  1624  72%  .0010 
Obesity (BMI ≥30)  2215  43.4%  999  40.0%  1216  46.6%  <.0001 
Abdominal obesity+Atherogenic dyslipidemia  4698  87%  2226  84.8%  2452  89%  <.0001 
TOD  2349  43.6%  1013  38.7%  1336  48.3%  <.05 
Heart disease  1095  20.3%  483  18.5%  612  22.1%  .0008 
IHV  678  13.3%  287  11.5%  391  15.1%  .0003 
Heart failure  441  8.4%  194  7.6%  247  9.2%  .0073 
Atrial fibrillation  366  6.9%  179  6.9%  187  6.9%  .0928 
Macrovascular lesions  1238  23%  549  21%  689  24.9%  .0006 
Coronary  631  11.9%  307  11.9%  324  11.9%  .1840 
Cerebral  290  5.5%  128  4.9%  162  6%  .0676 
Peripheral arteriopathy  535  10.1%  206  8%  329  12.2%  <.0001 
Microvascular lesions  1264  23.5%  460  17.6%  804  29.1%  <.0001 
Ophthalmological  587  11.4%  191  7.6%  396  15%  <.0001 
Renal  731  13.9%  267  10.5%  464  17.1%  <.0001 
Neurological  271  5.1%  90  3.5%  181  6.7%  <.0001 
Diabetic foot  139  2.6%  37  1.4%  102  3.8%  <.0001 
Stages of chronic kidney disease  4973  100%  2218  100%  2755  100%  .0026 
Stage 1 (eGFR ≥90mL/min/1.73m2)  1601  32%  765  34.5%  860  31.2%   
Stage 2 (eGFR ≥60 and <90mL/min/1.73m2)  2336  47%  1040  46.9%  1261  45.8%   
Stage 3 (eGFR ≥30 and <60mL/min/1.73m2)  974  19.5%  381  17.2%  593  21.5%   
Stage 4 (eGFR ≥15 and <30mL/min/1.73m2)  49  1%  21  0.9%  28  1.0%   
Stage 5 (eGFR <15mL/min/1.73m2)  24  0.5%  11  0.5%  13  0.5%   

Abbreviations: BMI, body mass index; CRF, cardiovascular risk factors; eGFR, estimated glomerular filtration rate; TOD, target organ damage; LVH, left ventricular hypertrophy; SD, standard deviation.

Dyslipidemia: Diagnosed dyslipidemia or undergoing lipid-lowering treatment. Arterial hypertension: Diagnosed hypertension or undergoing treatment for hypertension.

*

Abdominal obesity: waist circumference >102cm (men) and >88cm (women); atherogenic dyslipidemia: triglycerides ≤150mg/dL and HDL ≥40mg/dL (≥50mg/dL in women).

a

Chi-squared test or Mann–Whitney U test depending on the type of qualitative or quantitative variable.

Table 2 shows the hyperglycemia treatment for the patients in the study visit, the glycemic control parameters, the weight changes and the hypoglycemia that required medical attention in the previous year. Some 59.1% of the patients were treated with antidiabetic therapy with 2 or more drugs, and 22.3% were treated with insulin (Table 2). The patients with HbA1c levels ≥7.0% were treated with more complex hypoglycemic therapy and self-controlled their glycemia more frequently, while compliance with the diet and the practice of regular exercise were more frequent in the patient group with HbA1c levels <7.0%. The proportion of patients with HbA1c levels <7.0% was lower (Table 2, Fig. 1) in the patients treated with a combination of hypoglycemic drugs and insulin, especially in those treated with 3 or more drugs and with ≥2 doses of insulin. The increase in weight in the previous year was more frequent and higher in the group with HbA1c levels >7.0% (3.7±2.9kg vs. 3.1±2.4kg; p<.001), while the reduction in weight was more frequent and more intense in the group with HbA1c levels <7.0% (4.5±4 vs. 3.7±3.3kg; p=.0014). The proportion of patients with hypoglycemia who required medical care the year before the visit was significantly higher in the patients with HbA1c levels ≥7.0%.

Table 2.

Hyperglycemia treatment, glycemic control, hypoglycemia and weight changes in the previous year in the study population. Differences between patients with HbA1c levels <7% and those with HbA1c levels ≥7%.

  Total (n=5382)HbA1c <7.0% (n=2617)HbA1c ≥7.0% (n=2.765)pa 
  n    n    n     
Diet compliance  5296  100%  2577  100%  2719  100%  <.0001 
No  1227  23.2%  489  19%  738  27.1%   
Yes  4069  76.8%  2088  81%  1981  72.9%   
Regular exercise  5165  100%  2515  100%  2650  100%  <.0001 
No  2430  47%  1003  39.9%  1427  53.8%   
Yes  2735  53%  1512  60.1%  1223  46.2%   
Current diabetic treatment  5382  100%  2617  48.6%  2764  51.4%  <.0001 
Monotherapy  2200  40.9%  1414  64.3%  786  35.7%   
Combination of drugs  3182  59.1%  1203  37.8%  1979  62.2%  <.0001 
Combination of 2 drugs  2409  44.8%  979  40.6%  1430  59.4%  <.0001 
Combination of 3 drugs  719  13.4%  212  29.5%  507  70.5%  <.0001 
Combination of 4 drugs  53  1.0%  12  22.6%  41  77.4%  .021 
Insulin  1170  22.3%  269  23%  901  77%  <.0001b 
In monotherapy  201  21.5%  59  29%  142  71%   
In combination with ODD  731  78.5%  159  21.7%  572  78.3%   
One dose of insulin*  442  37.8%  111  25.1%  331  74.9%  .3972 
Two doses of insulin*  288  24.6%  66  22.9%  222  77.1%  .3972 
More than 2 doses of insulin*  202  17.3%  41  20.3%  161  79.7%  .3972 
Glycemia self-control  5292  100%  2572  100%  2720  100%  <.0001 
No  1922  36.3%  1086  42.2%  836  30.7%   
Yes  3370  63.7%  1486  57.8%  1884  69.3%   
Glycemia under fasting conditions, mg/dL (SD)  5251  141.1 (41.2)  2566  126.7 (29.3)  2685  155 (45.9)  <.0001 
Current HbA1c (A1cNow+), %  5382  7.1 (1.1)  2765  51.4%  2617  48.6%   
Hypoglycemia that required medical attention in the previous year  5130  100%  2498  100.0  2632  100.0  <.0001 
N4779  93.2%  2382  95.4%  2397  91.1%   
Yes  351  6.8%  116  4.6%  235  8.9%   
Outpatient care  238  4.6%  81  3.2%  157  6.0%  .0667 
Hospital care  25  0.5%  0.2%  21  0.8%   
Unspecified  88  1.7%  31  26.7%  57  24.3%   
Weight variation in the previous year, kg (SD)  5310  100%  2584  100%  2726  100%  <.0001 
Increase  1272  24%  526  20.4%  746  27.4%   
Decrease  1293  24.4%  737  28.5%  556  20.4%   
No change  2481  46.7%  1218  47.1%  1263  46.3%   
Not available  264  5%  103  4%  161  5.9%   

Abbreviations: SD, standard deviation; ODD, Oral diabetes drugs.

a

Chi-squared test or Mann–Whitney U test depending on the qualitative or quantitative variable type.

b

Significant differences in the insulin treatment between the group with HbA1c <7% and the group with HbA1c ≥7%.

*

There were 238 patients for whom the number of insulin doses was not reported (4.5%), 51 in the control group and 187 in the uncontrolled group.

Figure 1.

Proportion of patients with DM2 and HbA1c levels greater than, less than or equal to 7.0%, according to hypoglycemic treatment.

(0.22MB).

Table 3 shows the results of the logistic regression to determine the factors associated with proper glycemic control. In the univariate analysis, the factors associated most strongly with an HbA1c level <7.0% were the absence of treatment with insulin and hypoglycemia episodes in the previous year. The probability of presenting HbA1c levels <7.0% in the patients without insulin treatment was 3.32 times greater than that in the patients who were treated with insulin (95% CI: 2.879–3.82) and 2.0 times greater in the patients without hypoglycemia in the previous year (95% CI: 1.6–2.532). Other factors associated with good control were age >70years, a diabetes progression time ≤10years, the absence of abdominal obesity and atherogenic dyslipidemia (triglyceride levels ≤150mg/dL and HDL levels ≥40mg/dL [≥50mg/dL in women] and waist circumference ≤102cm [≤88cm in women]), an eGFR ≥60mL/min/1.73m2 and the nonself-monitoring of capillary glycemia. In the multivariate analysis, the factors associated with good control were the same except for the absence of hypoglycemia.

Table 3.

Factors associated with an HbA1c value <7% in the logistic regression analysis.

  OR  95% CI (odds ratio)  pa 
Multiple logistic regression
Univariate
Age >70 years  1.129  1.012–1.261  00304 
DM2 progression time ≤10 years  1.603  1.424–1.804  <.0001 
TG ≤150mg/dL and HDL ≥40mg/dL (for women ≥50mg/dL) and abdominal circumference ≤102cm (for women ≤88cm)  1.462  1.246–1.715  <.0001 
eGFR ≤60mL/min/1.73m2  1.412  1.249–1.597  <.0001 
Without insulin treatment  3.316  2.879–3.82  <.0001 
Without hypoglycemia in the previous year  2.013  1.6–2.532  <.0001 
Without weight gain in the previous year  1.474  1.298–1.675  <.0001 
Without glycemia self-monitoring  1.647  1.471–1.844  <.0001 
[0,1-4]Multivariate       
Age>70 years  1.321  1.166–1.497  <.0001 
DM2 progression time ≤10 years  1.385  1.21–1.586  <.0001 
TG ≤150mg/dL and HDL ≥40mg/dL (for women ≥50mg/dL) and abdominal circumference ≤102cm (for women ≤88cm)  1.410  1.187–1.675  <.0001 
eGFR ≤60mL/min/1.73m2  1.280  1.118–1.466  .0004 
Without insulin treatment  2.911  2.487–3.408  <.0001 
Without weight gain in the previous year  1.410  1.23–1.616  <.0001 
Without glycemia self-monitoring  1.183  1.045–1.34  .0080 

Abbreviations: DM2, type 2 diabetes mellitus; eGFR, estimated glomerular filtration rate; HDL, high-density lipoprotein cholesterol; TG, triglycerides.

a

Wald chi-squared test.

Discussion

This study, conducted under standard clinical practice conditions in primary care centers in Spain, confirmed the difficulty in achieving the objective of HbA1c levels <7%10–13 in many patients with DM2 treated with hypoglycemic drugs and the deterioration of control as the complexity of the diabetes increases.6–8,14–20 There are numerous causes, which, as shown in this study, include factors related to the pathophysiology of the disease, the coexistence of associated processes and complications and the complexity and adverse effects of treatment.

In this study, the patients with HbA1c levels >7.0% had a higher prevalence of CRF and TOD; however, an age >70years was associated with good glycemic control, which calls into question a lesser degree of intervention in patients at greater risk. As expected,8,19,21–24 the progression time and the proportion of patients with abdominal obesity and/or atherogenic dyslipidemia were greater in the patients with poorer control.8,19,21,22 In the logistic regression analysis, a progression time <10years and the absence of abdominal obesity and atherogenic dyslipidemia were predictors of proper control. These findings are probably related to insulin secretion impairment over time and to the fact that insulin resistance underlies as the relevant pathophysiological element.4,21,23–25

As with previous studies,8,16,18,26 the patients with poor glycemic control self-controlled their glycemia more and were treated with therapies that more often used insulin and combinations of 3 or more drugs, which suggests an attempt to adapt the treatment to the patient's needs. However, therapeutic inertia appears to play a relevant role in the lack of response to the disease progression,27,28 especially in patients treated with insulin.8,19 It is therefore surprising that (1) only 22.3% of the patients were treated with insulin, (2) the proportion of patients with HbA1c levels <7.0% was lower in those treated with insulin and (3) the absence of insulin treatment was the factor most strongly associated with HbA1c levels <7.0%. This fact is also accentuated in the patients treated with 2 or more doses of insulin, which probably reflects the resistance to the use of more physiological and effective insulin regimens in patients with pronounced insulinopenia.29–31

Hypoglycemia and weight gain are significant barriers for optimal control in the patients with DM2.32–36 To our knowledge, however, the relationship between a history of hypoglycemia and weight gain on one hand and glycemic control on the other has not been studied. In this study, the patients with poor glycemic control had a greater probability of increasing body weight and experiencing a hypoglycemic episode that required medical attention in the previous year. In the logistic regression analysis, the absence of these adverse effects was associated with good control. The close relationship between the risk of hypoglycemia and insulin therapy37,38 justifies removing the relationship from the multivariate analysis. Therefore, it is important to take measures to reduce the risk of hypoglycemia and weight gain.

The fundamental limitations of the present study are its observational character, which precludes establishing casual relationships, and its cross-sectional nature and lack of sample randomization. However, this latter limitation we consider minimized due to the considerable sample size and the correlation with other available data in the literature.

In conclusion, the present study confirms the deterioration of control as the complexity of the disease and treatment increases and that a history of hypoglycemia and weight gain are associated with poorer control. This information could be useful for developing strategies, including the selection of therapeutic measures that enable the intensification of treatment in response to the progression of the disease.

Funding

This study was conducted with funding from Almirall Laboratories S.A. (Barcelona, Spain).

Conflicts of interest

Dr. A. Perex and Dr. J.J. Mediavilla received honoraria from Almirall S.A. for the coordination of the study. DGS is an employee of Almirall.

Acknowledgments

The authors would like to thank all the physicians who participated in the study, but unfortunately the list is too long to include here. We would also like to thank Almirall, S.A. for their support in funding the study and Adknoma Health Research for their support with logistical management and the statistical study. We would also like to thank Content Ed Net Madrid for their collaboration in the drafting and submission of the manuscript.

References
[1]
F. Soriguer, A. Goday, A. Bosch-Comas, E. Bordiu, A. Calle-Pascual, R. Carmena, et al.
Prevalence of diabetes mellitus and impaired glucose regulation in Spain: the Di@betes Study.
Diabetologia, 55 (2012), pp. 88-93
[2]
M. Mata, F. Antonanzas, M. Tafalla, P. Sanz.
El coste de la diabetes tipo 2 en Espana. El estudio CODE-2.
Gac Sanit, 16 (2002), pp. 511-520
[3]
P. Gaede, O. Pedersen.
Intensive integrated therapy of type 2 diabetes: implications for long-term prognosis.
Diabetes, 53 (2004), pp. S39-S47
[4]
Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group.
[5]
R.R. Holman, S.K. Paul, M.A. Bethel, D.R. Matthews, H.A. Neil.
10-year follow-up of intensive glucose control in type 2 diabetes.
N Engl J Med, 359 (2008), pp. 1577-1589
[6]
J. Franch Nadal, S. Artola Menendez, J. Diez Espino, M. Mata Cases.
Evolucion de los indicadores de calidad asistencial al diabetico tipo 2 en atención primaria (1996–2007). Programa de mejora continua de calidad de la Red de Grupos de Estudio de la Diabetes en Atención Primaria de la Salud.
Med Clin (Barc), 135 (2010), pp. 600-607
[7]
I. Vinagre, M. Mata-Cases, E. Hermosilla, R. Morros, F. Fina, M. Rosell, et al.
Control of glycemia and cardiovascular risk factors in patients with type 2 diabetes in primary care in Catalonia (Spain).
Diabetes Care, 35 (2012), pp. 774-779
[8]
A. Perez, J. Franch, A. Cases, J.R. Gonzalez Juanatey, P. Conthe, E. Gimeno, et al.
Relación del grado de control glucémico con las características de la diabetes y el tratamiento de la hiperglucemia en la diabetes tipo 2.
Estudio DIABES Med Clin (Barc), 138 (2012), pp. 505-511
[9]
J. Knaebel, B.R. Irvin, C.Z. Xie.
Accuracy and clinical utility of a point-of-care HbA1c testing device.
Postgrad Med, 125 (2013), pp. 91-98
[10]
S.E. Inzucchi, R.M. Bergenstal, J.B. Buse, M. Diamant, E. Ferrannini, M. Nauck, et al.
Management of hyperglycemia in type 2 diabetes: a patient-centered approach: position statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).
Diabetes Care, 35 (2012), pp. 1364-1379
[11]
E. Menendez Torre, F.J. Lafita Tejedor, S. Artola Menendez, J. Millan Nunez-Cortes, A. Alonso Garcia, M. Puig Domingo, et al.
Recomendaciones para el tratamiento farmacológico de la hiperglucemia en la diabetes tipo 2.
Endocrinol Nutr, 58 (2011), pp. 112-120
[12]
F. Ismail-Beigi, E. Moghissi, M. Tiktin, I.B. Hirsch, S.E. Inzucchi, S. Genuth.
Individualizing glycemic targets in type 2 diabetes mellitus: implications of recent clinical trials.
Ann Intern Med, 154 (2011), pp. 554-559
[13]
J.S. Skyler, R. Bergenstal, R.O. Bonow, J. Buse, P. Deedwania, E.A. Gale, et al.
Intensive glycemic control and the prevention of cardiovascular events: implications of the ACCORD, ADVANCE, and VA diabetes trials: a position statement of the American Diabetes Association and a scientific statement of the American College of Cardiology Foundation and the American Heart Association.
Diabetes Care, 32 (2009), pp. 187-192
[14]
D. Orozco-Beltran, V.F. Gil-Guillen, F. Quirce, J. Navarro-Perez, M. Pineda, A. Gomez-de-la-Camara, et al.
Control of diabetes and cardiovascular risk factors in patients with type 2 diabetes in primary care. The gap between guidelines and reality in Spain.
Int J Clin Pract, 61 (2007), pp. 909-915
[15]
P. Benito Lopez, R. Garcia Mayor, M. Puig Domingo, J. Mesa Manteca, L.F. Pallardo Sanchez, E. Faure Nogueras, et al.
Perfil de los pacientes con diabetes mellitus tipo 2, en la Atencion Primaria española.
Rev Clin Esp, 204 (2004), pp. 18-24
[16]
P. De Pablos Velasco, J. Franch, J.R. Banegas Banegas, S. Fernandez Anaya, A. Sicras Mainar, S. Diaz Cerezo.
Estudio epidemiológico del perfil clínico y control glucémico del paciente diabético atendido en centros de atención primaria en Espana (estudio EPIDIAP).
Endocrinol Nutr, 56 (2009), pp. 233-240
[17]
N. Laiteerapong, P.M. John, A.G. Nathan, E.S. Huang.
Public health implications of recommendations to individualize glycemic targets in adults with diabetes.
Diabetes Care, 36 (2013), pp. 84-89
[18]
E. Huppertz, L. Pieper, J. Klotsche, E. Stridde, D. Pittrow, S. Bohler, et al.
Diabetes Mellitus in German Primary Care: quality of glycaemic control and subpopulations not well controlled – results of the DETECT study.
Exp Clin Endocrinol Diabetes, 117 (2009), pp. 6-14
[19]
T.J. Hoerger, J.E. Segel, E.W. Gregg, J.B. Saaddine.
Is glycemic control improving in U.S. adults?.
Diabetes Care, 31 (2008), pp. 81-86
[20]
R.C. Turner, C.A. Cull, V. Frighi, R.R. Holman, UK Prospective Diabetes Study (UKPDS) Group.
Glycemic control with diet, sulfonylurea, metformin, or insulin in patients with type 2 diabetes mellitus: progressive requirement for multiple therapies (UKPDS 49).
JAMA, 281 (1999), pp. 2005-2012
[21]
S.R. Benoit, R. Fleming, A. Philis-Tsimikas, M. Ji.
Predictors of glycemic control among patients with type 2 diabetes: a longitudinal study.
BMC Public Health, 5 (2005), pp. 36
[22]
S.J. Spann, P.A. Nutting, J.M. Galliher, K.A. Peterson, V.N. Pavlik, L.M. Dickinson, et al.
Management of type 2 diabetes in the primary care setting: a practice-based research network study.
Ann Fam Med, 4 (2006), pp. 23-31
[23]
M.J. Blaha, T. Gebretsadik, A. Shintani, T.A. Elasy.
Waist circumference, not the metabolic syndrome, predicts glucose deterioration in type 2 diabetes.
Obesity (Silver Spring), 16 (2008), pp. 869-874
[24]
L.M. Thorn, C. Forsblom, J. Fagerudd, M.C. Thomas, K. Pettersson-Fernholm, M. Saraheimo, et al.
Metabolic syndrome in type 1 diabetes: association with diabetic nephropathy and glycemic control (the Finn Diane study).
Diabetes Care, 28 (2005), pp. 2019-2024
[25]
M. Saad, D. Pettitt, D. Mott, W. Knowler, R. Nelson, P. Bennett.
Sequential changes in serum insulin concentration during development of non-insulin-dependent diabetes.
Lancet, 333 (1989), pp. 1356-1359
[26]
L.N. Ji, J.M. Lu, X.H. Guo, W.Y. Yang, J.P. Weng, W.P. Jia, et al.
Glycemic control among patients in China with type 2 diabetes mellitus receiving oral drugs or injectables.
BMC Public Health, 13 (2013), pp. 602
[27]
F. Lopez-Simarro, C. Brotons, I. Moral, C. Cols-Sagarra, A. Selva, A. Aguado-Jodar, et al.
Inercia y cumplimiento terapéutico en pacientes con diabetes mellitus tipo 2 en atención primaria.
Med Clin (Barc), 138 (2012), pp. 377-384
[28]
J.B. Brown, G.A. Nichols, A. Perry.
The burden of treatment failure in type 2 diabetes.
Diabetes Care, 27 (2004), pp. 1535-1540
[29]
I. Vinagre, J. Sánchez-Hernández, J.L. Sánchez-Quesada, M.Á. María, A. de Leiva, A. Pérez.
Switching to basal-bolus insulin therapy is effective and safe in long-term type 2 diabetes patients inadequately controlled with other insulin regimens.
Endocrinol Nutr, 60 (2013), pp. 249-253
[30]
R.R. Holman, K.I. Thorne, A.J. Farmer, M.J. Davies, J.F. Keenan, S. Paul, et al.
Addition of biphasic, prandial, or basal insulin to oral therapy in type 2 diabetes.
N Engl J Med, 357 (2007), pp. 1716-1730
[31]
R.R. Holman, A.J. Farmer, M.J. Davies, J.C. Levy, J.L. Darbyshire, J.F. Keenan, et al.
Three-year efficacy of complex insulin regimens in type 2 diabetes.
N Engl J Med, 361 (2009), pp. 1736-1747
[32]
P.E. Cryer.
Banting lecture hypoglycemia: the limiting factor in the management of IDDM.
Diabetes, 43 (1994), pp. 1378-1389
[33]
P.E. Cryer.
Hypoglycaemia: the limiting factor in the glycaemic management of type I and type II diabetes.
Diabetologia, 45 (2002), pp. 937-948
[34]
Standards of medical care in diabetes – 2013.
Diabetes Care, 36 (2013), pp. S11-S66
[35]
O.J. Phung, J.M. Scholle, M. Talwar, C.I. Coleman.
Effect of noninsulin antidiabetic drugs added to metformin therapy on glycemic control, weight gain, and hypoglycemia in type 2 diabetes.
JAMA, 303 (2010), pp. 1410-1418
[36]
S.C. Liu, Y.K. Tu, M.N. Chien, K.L. Chien.
Effect of antidiabetic agents added to metformin on glycaemic control, hypoglycaemia and weight change in patients with type 2 diabetes: a network meta-analysis.
Diabetes Obes Metab, 14 (2012), pp. 810-820
[37]
UK Hypoglycaemia Study Group.
Risk of hypoglycaemia in types 1 and 2 diabetes: effects of treatment modalities and their duration.
Diabetologia, 50 (2007), pp. 1140-1147
[38]
L.A. Donnelly, A.D. Morris, B.M. Frier, J.D. Ellis, P.T. Donnan, R. Durrant, et al.
Frequency and predictors of hypoglycaemia in type 1 and insulin-treated type 2 diabetes: a population-based study.
Diabetes Med, 22 (2005), pp. 749-755

Please cite this article as: Pérez A, Mediavilla JJ, Miñambres I, González-Segura D. Control glucémico en pacientes con diabetes mellitus tipo 2 en España. Rev Clin Esp. 2014;214:429–436.

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