Literature DB >> 27229923

Statin use and cardiovascular risk factors in diabetic patients developing a first myocardial infarction.

Martin Bødtker Mortensen1, Imra Kulenovic2, Erling Falk2.   

Abstract

BACKGROUND: The risk for a first myocardial infarction (MI) in people with diabetes has been shown to be as high as the risk for a new MI in non-diabetic patients with a prior MI. Consequently, risk-reducing statin therapy is recommended for nearly all patients with diabetes 40 years of age or older, regardless of cholesterol level. The purpose of this study was to assess the recommended and real-life use of statins for primary prevention of atherosclerotic cardiovascular disease (ASCVD) in diabetic patients who develop ASCVD.
METHODS: In a cross-sectional multicenter study of consecutive patients without previous ASCVD hospitalized with a first MI in 2010-2012, we obtained information on diabetic status, statin use, and cardiovascular risk factors prior to MI.
RESULTS: The study population consisted of 1622 patients with first MI (63 % men), 228 of whom had known diabetes before MI. All but three of the diabetic patients were ≥40 years of age. Diabetic patients were older (70 vs 68, p = 0.006), were more often women (43 vs 36 %, p = 0.05) and had a higher prevalence of statin use (47 vs 11 %, p < 0.001) compared with non-diabetic patients. Despite a high risk factor burden, the majority (53 %) of patients with known diabetes was not treated with statins before MI, and there was no relationship between the number of high-risk markers and statin use. Nearly all diabetic patients not treated with statins before first MI had at least one marker of very high cardiovascular risk, including hypertension (71 %), current smoking (37 %), and nephropathy (33 %).
CONCLUSIONS: Primary prevention with statins had been initiated in less than half of diabetic patients destined for a first MI, despite the presence of one or more markers of very high cardiovascular risk in nearly all. These results highlight an urgent need for optimizing statin therapy and global risk factor control in diabetic patients.

Entities:  

Keywords:  Cardiovascular disease; Diabetes; Myocardial infarction; Prevention; Statin

Mesh:

Substances:

Year:  2016        PMID: 27229923      PMCID: PMC4882784          DOI: 10.1186/s12933-016-0400-y

Source DB:  PubMed          Journal:  Cardiovasc Diabetol        ISSN: 1475-2840            Impact factor:   9.951


Background

It has been known for decades that diabetes is a powerful risk factor for atherosclerotic cardiovascular disease (ASCVD) [1]. Nevertheless, it came as a surprise when a study published in 1998 indicated that the risk for a first myocardial infarction (MI) in people with type 2 diabetes was as high as the risk for a new MI in non-diabetic patients with prior MI [2]. Consequently, the American NCEP (National Cholesterol Education Program) clinical guidelines defined diabetes as a coronary heart disease (CHD) risk equivalent with similar intensity and goal of cholesterol-lowering therapy as in patients with known CHD [3]. Similarly, in 2003, the European guidelines on ASCVD prevention defined diabetes type 2 and diabetes type 1 with microalbuminuria as high-risk conditions and recommended similar treatment goals for diabetic patients without ASCVD and nondiabetic patients with established ASCVD [4]. Today, risk-reducing statin therapy is recommended for nearly all patients with diabetes 40 years of age or older, regardless of cholesterol level [5-11]. To what extent this recommendation is followed in routine clinical practice is not known. Therefore, to address this question, we assessed the uptake of primary prevention with statins in contemporary and consecutive diabetic patients hospitalized with MI as first manifestation of ASCVD.

Methods

We identified consecutive patients with a first MI without prior ASCVD (hereafter just called first MI) admitted to four hospitals in Denmark in 2010 through 2012 (Aarhus University Hospital and the Regional Hospitals in Randers, Herning and Horsens). From the medical records we collected information about known diabetes treated with diet or drugs (~9 % were type 1 diabetes), use of statins and anti-hypertensive agents, and cardiovascular risk factor burden before hospitalization for first MI. The universal definition of MI is implemented in Denmark, requiring clinical evidence of myocardial ischemia together with elevated biomarkers reflecting myocardial necrosis [12]. The traditional cardiovascular risk factors [age, sex, smoking status, total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and systolic blood pressure] were assessed as previously described [13]. Plasma lipid values were obtained within 24 h after admission and/or available from a prior contact with the health care system. The blood pressure used for risk estimation was obtained prior to admission (if hospitalized previous year) or after recovery from MI (before hospital discharge or at first visit to the rehabilitation clinic). Hypertension was defined as SBP >140 mmHg and/or use of anti-hypertensive agents at admission.

Risk assessment

In 2003, the European Society of Cardiology (ESC) guidelines on ASCVD prevention introduced a new multifactorial risk assessment model for use in the primary prevention of ASCVD in people 40–65 years of age without diabetes, SCORE (Systematic Coronary Risk Evaluation) [4]. Patients with diabetes were classified as high-risk, regardless of other cardiovascular risk factors, and treatment decisions should in principle not be based on SCORE. However, it was suggested that SCORE could be used for a rough assessment of cardiovascular risk in diabetic patients, recognizing that the real risk would be at least twice as high in diabetic men and up to four times higher in diabetic women as that given by SCORE [14]. A more recent re-analysis of the SCORE database indicated that the impact of diabetes on risk might be even greater, with relative risks of ~5 in women and ~3 in men [5, 6, 15]. With this in mind, we calculated SCORE in the total population and estimated also the real risk in patients with diabetes by multiplying the SCORE risk by 5 in women and 3 in men. The SCORE predictors used to calculate the 10-year risk for fatal CVD include sex, age, smoking status, total cholesterol and systolic blood pressure [4-6]. We used the published SCORE equations [14] to calculate the 10-year risk and capped the age-related risk at age 65 in agreement with the assumptions and complying with clinical practice [4-6]. SCORE was created for use in non-diabetic people 40–65 years of age [14], risk charts are available only for people in this age range [4-6], and the age-related risk is capped at age 65 in the online risk calculator, HeartScore [16]. We used the low-risk SCORE equations, as recommended for Denmark in the most recent ESC guideline [6]. In patients without diabetes, statin therapy is indicated or should be considered if SCORE is ≥5 %, defined as high (5–10 %) or very-high (≥10 %) risk [6].

Primary prevention with statins in diabetes

In diabetic patients, primary prevention with statins is recommended or should be considered in nearly all ≥40 years of age, with the intensity of therapy depending on the presence of other cardiovascular risk factors and end-organ damage [5-7]. Diabetes (type 1 or type 2) with ≥1 cardiovascular risk factor and/or end-organ damage is classified as very high risk, corresponding to SCORE ≥10 % and with a class I recommendation for statin therapy similar to patients with documented ASCVD [5-7]. The national Danish guidelines follow these European guidelines [17-22]. The study was approved by the Danish Data Protection Agency (Reference: 2007-58-0010, int. ref: 1-16-02-46-12). Registry studies do not require ethical approval in Denmark.

Statistical analysis

Statistical analysis was performed using Stata version 13.1 SE (StataCorp LP, College Station, TX, USA). Baseline characteristics were compared with Student’s t test, Mann–Whitney test or Fisher’s exact test (categorical variables). The 10-year risk of fatal CVD was calculated for each patient using the low-risk SCORE algorithms [14]. We used logistic regression analyses to assess the association between risk factors and use of statins in diabetic patients before MI. These results are presented as odds ratio (OR) with 95 % confidence intervals (CI).

Results

Among 1632 consecutive patients with first MI, information about diabetes and/or statin use before MI was available in all but ten patients (study population, Table 1). The majority (63 %) were men. They were ~7 years younger than women and had a higher predicted risk estimated by SCORE (mean 4.6 vs. 2.8 %).
Table 1

Study population: patients with first myocardial infarction without prior atherosclerotic cardiovascular disease

Alln = 1622Menn = 1020Womenn = 602
Gender, %6337
Age, year68.0 (14.1)65.4 (13.2)72.3 (14.4)
Smoking, %384232
Total cholesterol, mmol/L5.1 (1.2)5.0 (1.1)5.3 (1.4)
LDL cholesterol, mmol/L3.2 (1.1)3.2 (1.0)3.2 (1.2)
HDL cholesterol, mmol/L1.3 (0.4)1.2 (0.4)1.5 (0.5)
Triglycerides, mmol/L1.6 (1.2)1.6 (1.3)1.5 (1.0)
Systolic blood pressure, mmHg138 (20.5)138 (19.9)138 (21.5)
Hypertension, %656172
Statin, %161518
Diabetes, %141316
SCORE (mean)a, %3.9 (3.2)4.6 (3.4)2.8 (2.1)

Baseline characteristics are provided as mean (standard deviation) for continuous values

aSCORE was calculated by the low-risk equations published by Conroy et al. [14]. The on-treatment cholesterol concentration was used for calculation of SCORE in those treated with statins

Study population: patients with first myocardial infarction without prior atherosclerotic cardiovascular disease Baseline characteristics are provided as mean (standard deviation) for continuous values aSCORE was calculated by the low-risk equations published by Conroy et al. [14]. The on-treatment cholesterol concentration was used for calculation of SCORE in those treated with statins

Prevalence of diabetes in patients with first MI

The prevalence of known diabetes among patients with first MI was 14 % (Table 1), and this prevalence was consistent across different age groups (Fig. 1). All but three of the 228 patients with known diabetes before MI were ≥40 years of age.
Fig. 1

Prevalence of diabetes among patients with first myocardial infarction. The prevalence of known diabetes was similar in all age groups

Prevalence of diabetes among patients with first myocardial infarction. The prevalence of known diabetes was similar in all age groups Diabetic patients were older (70 vs 68, p = 0.006), were more often women (43 vs 36 %, p = 0.05) and had a higher prevalence of hypertension (79 vs 63 %, p < 0.001) compared to non-diabetic patients with first MI (Table 2), while the prevalence of smoking was equally high (36 vs 39 %, p = 0.34). In contrast, total and LDL cholesterol levels were significantly lower among diabetic patients explained, at least partly, by their higher prevalence of statin use prior to MI. Similar results were observed when stratified by gender (Table 3).
Table 2

Study population stratified by known diabetes prior to first myocardial infarction

DiabetesNo diabetesp value
n = 228n = 1394
Gender (male), %57640.05
Age, year70.3 (13.8)67.6 (14.1)0.006
Smoking, %36390.34
Total cholesterol, mmol/L4.5 (1.4)5.2 (1.2)<0.001
LDL cholesterol, mmol/L2.5 (1.1)3.3 (1.1)<0.001
HDL cholesterol, mmol/L1.2 (0.4)1.3 (0.4)<0.001
Triglycerides, mmol/L1.9 (1.4)1.5 (1.1)<0.001
Systolic blood pressure, mmHg138 (23)138 (20)0.68
Hypertension, %7963<0.001
Statin, %4711<0.001
SCORE (mean)a,  %3.8 (2.9)4.0 (3.2)0.4

Baseline characteristics are provided as mean (standard deviation) for continuous values

aSCORE was calculated by the low-risk equations published by Conroy et al. [14]. The on-treatment cholesterol concentration was used for calculation of SCORE in those treated with statins. SCORE was not created for use in patients with diabetes who are classified as high or very high risk, regardless of SCORE

Table 3

Study population stratified by known diabetes and gender prior to first myocardial infarction

MenWomen
Diabetesn = 130No diabetesn = 890p valueDiabetesn = 98No diabetesn = 504p value
Age, year68.4 (13.7)65.0 (13.1)0.00672.9 (13.5)72.2 (14.6)0.64
Smoking,  %36430.1235320.49
Total cholesterol, mmol/L4.3 (1.3)5.1 (1.1)<0.0014.7 (1.4)5.4 (1.3)<0.001
LDL cholesterol, mmol/L2.5 (1.1)3.3 (1.0)<0.0012.6 (1.2)3.3 (1.2)<0.001
HDL cholesterol, mmol/L1.2 (0.4)1.2 (0.4)0.171.3 (0.4)1.5 (0.5)<0.001
Triglycerides, mmol/L1.8 (1.2)1.6 (1.3)0.072.0 (1.7)1.4 (0.8)<0.001
Systolic blood pressure, mmHg139 (20.8)138 (19.7)0.39138 (24.9)138 (20.8)0.73
Hypertension, %7859<0.00182700.02
Statin, %4510<0.0014912<0.001
SCORE (mean)a, %4.4 (3.2)4.6 (3.5)0.592.8 (2.2)2.8 (2.1)0.73

Baseline characteristics are provided as mean (standard deviation) for continues values

aSCORE was calculated by the low-risk equations published by Conroy et al. [14]. The on-treatment cholesterol concentration was used for calculation of SCORE in those treated with statins. SCORE was not created for use in patients with diabetes who are classified as high or very high risk, regardless of SCORE

Study population stratified by known diabetes prior to first myocardial infarction Baseline characteristics are provided as mean (standard deviation) for continuous values aSCORE was calculated by the low-risk equations published by Conroy et al. [14]. The on-treatment cholesterol concentration was used for calculation of SCORE in those treated with statins. SCORE was not created for use in patients with diabetes who are classified as high or very high risk, regardless of SCORE Study population stratified by known diabetes and gender prior to first myocardial infarction Baseline characteristics are provided as mean (standard deviation) for continues values aSCORE was calculated by the low-risk equations published by Conroy et al. [14]. The on-treatment cholesterol concentration was used for calculation of SCORE in those treated with statins. SCORE was not created for use in patients with diabetes who are classified as high or very high risk, regardless of SCORE

Statin vs. non-statin use in diabetic patients

The majority (53 %) of diabetic patients was not using statins before their first MI (Table 4). Many of those not treated with statins before MI had hypertension (71 %) or were current smokers (37 %). Nearly all (~95 %) had at least one and the majority had two or more of the following markers of very high cardiovascular risk: hypertension, smoking, family history of CHD or nephropathy (GFR < 60 mL/min/1.73 m2) (Fig. 2).
Table 4

Diabetic patients stratified by statin use prior to first myocardial infarction

On statins before MINot on statins before MIp value
n = 106n = 122
Gender, %0.51
Age, year70.1 (12.0)70.6 (15.2)0.80
Smoking, %34370.21
Total cholesterol, mmol/L4.1 (1.2)4.8 (1.4)<0.001
LDL cholesterol, mmol/L2.1 (0.9)2.9 (1.2)<0.001
HDL cholesterol, mmol/L1.2 (0.4)1.2 (0.4)0.42
Triglycerides, mmol/L1.8 (1.6)1.9 (1.3)0.45
Systolic blood pressure, mmHg139 (21.5)138 (24.0)0.76
Hypertension, %89710.001
Antihypertensive medicine, %79600.002
GFRc, mL/min/1.73 m2 64 (27.3)72 (27.3)0.03
Nephropathy (GFR < 60)c,  %43330.69
Family history of CHD,  %37340.62
LDL cholesterol ≥2 mmol/L,  %5481<0.001
LDL cholesterol ≥1.8 mmol/L,  %5783<0.001
SCORE (mean),  %3.8 (2.8)
SCORE (mean) before statin therapya, %4.6 (3.8)
Estimated 10-year risk in diabetes (mean)b,  %16.6 (12.4)13.7 (10.2)0.10
Estimated 10-year risk in diabetes ≥5 %b, n/n91 %85 %0.22

Baseline characteristics are provided as mean (standard deviation) for continuous values

aSCORE was calculated after adding 1.5 mmol/L to the measured on-treatment total cholesterol concentration (an estimate of the pre-treatment SCORE risk)

bSCORE risk multiplied by 3 in men and 5 in women to take the diabetes-related risk into account [5, 6, 15]

c GFR glomerular filtration rate; GFR < 60 mL/min/1.73 m2 is defined as moderate-to-severe chronic kidney disease in the ESC guideline [6]

Fig. 2

Markers of high cardiovascular risk in diabetic patients with first myocardial infarction, stratified by statin use. The high-risk markers were smoking, hypertension, family history of coronary heart disease, and nephropathy. There was no significant relationship between the number of markers of high or very high risk and statin use prior to a first myocardial infarction [odds ratio of 1.11 (0.81–1.54, p = 0.49) per high-risk marker]. Regardless of statin use, nearly all diabetic patients had at least 1 high-risk marker and the majority had 2 or more high-risk markers prior to myocardial infarction. Analyses were performed among the 177 diabetic patients in whom we had complete information on all markers of high risk, including family history of coronary heart disease

Diabetic patients stratified by statin use prior to first myocardial infarction Baseline characteristics are provided as mean (standard deviation) for continuous values aSCORE was calculated after adding 1.5 mmol/L to the measured on-treatment total cholesterol concentration (an estimate of the pre-treatment SCORE risk) bSCORE risk multiplied by 3 in men and 5 in women to take the diabetes-related risk into account [5, 6, 15] c GFR glomerular filtration rate; GFR < 60 mL/min/1.73 m2 is defined as moderate-to-severe chronic kidney disease in the ESC guideline [6] Markers of high cardiovascular risk in diabetic patients with first myocardial infarction, stratified by statin use. The high-risk markers were smoking, hypertension, family history of coronary heart disease, and nephropathy. There was no significant relationship between the number of markers of high or very high risk and statin use prior to a first myocardial infarction [odds ratio of 1.11 (0.81–1.54, p = 0.49) per high-risk marker]. Regardless of statin use, nearly all diabetic patients had at least 1 high-risk marker and the majority had 2 or more high-risk markers prior to myocardial infarction. Analyses were performed among the 177 diabetic patients in whom we had complete information on all markers of high risk, including family history of coronary heart disease In patients using statins before MI we added 1.5 mmol/L to the measured on-treatment total cholesterol concentration [23] and then calculated the SCORE risk, using this as an estimate for the pre-treatment SCORE risk. To get an estimate of the real risk by taking the diabetes-related risk into account, we multiplied the calculated SCORE risk by 3 in men and 5 in women [5, 6, 15]. The average 10-year risk for fatal CVD was >10 % (very high risk) not only in those on statins before MI (pre-treatment risk) but also in those not on statins (Table 4). A similar proportion of diabetic patients treated or not treated with statins before MI had a real cardiovascular risk higher than the 5 % high-risk threshold defined by the ESC guidelines (91 % vs. 85 %, p = 0.22; Table 4) [4-6]. The 10-year risk for fatal CVD would have been even higher if we instead of the low-risk SCORE equations had used the high-risk equations to estimate risk, which were recommended in Denmark during the study period [15].

Factors associated with statin use in diabetic patients

The multivariable adjusted association of cardiovascular risk factors with statin use in diabetic patients is shown in Table 5. Total cholesterol and hypertension were associated with taking statins prior to MI, while age, gender and smoking status were not. These results were similar in men and women separately. Surprisingly, increasing number of high-risk markers (hypertension, smoking, family history of CHD and nephropathy) was not significantly associated with statin treatment prior to MI (odds ratio of 1.11 (0.81–1.54, p = 0.49) per high-risk marker) (Fig. 2).
Table 5

Association between cardiovascular risk factors and statin use in diabetic patients prior to first myocardial infarction

Risk factorOdds ratio (95 % CI) for statin use
OverallMenWomen
Age, per 5-year increase0.97 (0.87–1.09)1.07 (0.93–1.24)0.82 (0.68–0.99)
Sex1.0 (0.55–1.81)
Current smoking0.77 (0.41–1.45)0.83 (0.36–1.95)0.68 (0.25–1.82)
Total cholesterola 1.51 (1.22–1.87)1.66 (1.24–2.22)1.29 (0.93–1.79)
Hypertension3.36 (1.53–7.35)3.06 (1.14–8.27)5.46 (1.35–22.08)

Multivariable adjusted odds ratios with 95 % confidence intervals (CI) calculated using logistic regression

a1.5 mmol/L were added to the measured on-treatment total cholesterol concentration in patients taking statins before myocardial infarction

Association between cardiovascular risk factors and statin use in diabetic patients prior to first myocardial infarction Multivariable adjusted odds ratios with 95 % confidence intervals (CI) calculated using logistic regression a1.5 mmol/L were added to the measured on-treatment total cholesterol concentration in patients taking statins before myocardial infarction

Discussion

Among consecutive patients with MI as first manifestation of ASCVD, 14 % had known diabetes before MI. Primary prevention with statins had been initiated in 47 and 11 % of those with or without known diabetes, respectively. Nearly all diabetic patients not treated with statins before first MI had at least one marker of very high cardiovascular risk, including hypertension (71 %), smoking (37 %) and nephropathy (33 %). Surprisingly, these markers of very high cardiovascular risk were not more prevalent in diabetic patients treated with statins prior to MI compared with diabetic patients not treated with statins.

Known diabetes before first MI

With the growing burden of obesity and type 2 diabetes, it may appear surprising that only 14 % of first MI occurred in patients with known diabetes. However, this is in line with 11 % in the Danish DANAMI-2 study in patients with ST-elevation MI [24] and 15 % in a more recent Swiss study in patients with first acute coronary syndrome [25]. In the INTERHEART study, the prevalence of diabetes was 18 % in patients with first MI [26]. A much higher prevalence of diabetes among MI patients have been reported in studies that included patients with both first and recurrent MI and diabetes diagnosed not only before but also after admission [27-29].

Diabetes-related risk

In the decades-old SCORE cohorts, information on diabetes was not collected uniformly to allow inclusion of diabetes as a predictor in the SCORE model [14]. Instead diabetes type 2 (and type 1 with microalbuminuria) was defined as a high-risk condition with similar targets for cholesterol-lowering treatment as in patients with clinically established ASCVD [4]. In the most recent ESC guidelines, patients with diabetes were classified as high (SCORE 5–10 %) or very-high (SCORE ≥10 %) risk depending on the presence of cardiovascular risk factors and end-organ damage [6]. It was stated that a re-analysis of the SCORE database indicated that diabetes increases the risk for fatal ASCVD ~5 times in women and ~3 times in men [5, 6, 15]. Based on this information we estimates a likely risk in the diabetic patients with first MI and found that most passed the 10 % very high risk threshold set by the ESC guidelines, and nearly all passed the 5 % high risk threshold (Table 4). However, considering the substantial decline in ASCVD mortality since the SCORE data was collected decades ago, the relevance of these estimates may be questioned. More recent data indicates that the diabetes-related risk is heterogeneous and often lower than that estimated from the SCORE database, depending on the used predictors, predicted outcomes (e.g., fatal vs. non-fatal ASCVD), presence of other cardiovascular risk factors and end-organ damage, and duration of diabetes [30, 31]. Worth to recognize is that a study that contributed significantly to the classification of diabetes as a CHD risk equivalent originated from a high-risk country (Finland in the 1980s), with a high prevalence of hypercholesterolemia and hypertension in the diabetic population, and an average duration of diabetes of 8 years [2, 3]. Today, screen-detected and treated diabetes is associated with a much lower cardiovascular risk [32], but still with a stronger impact of diabetes on ASCVD risk in women than men. Why remains unclear [33]. Much remains to be understood about the diabetes-related risk for ASCVD. It is still uncertain whether hyperglycemia per se accelerates the development of atherothrombosis, and if it does, whether qualitative (plaque vulnerability) or quantitative (plaque burden) changes are most important [34]. Targeting the traditional cardiovascular risk factors such as high blood pressure and cholesterol is at least as important in patients with diabetes as in those without diabetes [35]. Interestingly, statin therapy before a first MI may improve long-term survival in overweight patients with diabetes [36]. Even though concerns have been raised about the diabetogenic effect of statin therapy [37], statins certainly reduce the risk for ASCVD in patients with diabetes. Based on evidence from randomized controlled trials [38-40], current guidelines recommend primary prevention with statins to nearly all adults with diabetes [5–11, 17–22]. The strong indication for statin therapy to patients with diabetes, especially in the presence of ≥1 cardiovascular risk factor and/or end-organ damage, is not new and was effective during the present study period [17, 18]. The European (and Danish) guidelines recommend therapeutic goals, but we focused primarily on initiation of statin therapy rather than on treatment goal because it is more important to initiate therapy than to intensify it to fulfil a treat-to-target strategy [41]. Therefore, it came as a surprise that statin therapy had been initiated in less than half of patients with known diabetes before first MI, in particular because nearly all had at least one easily identifiable marker of very high risk, such as hypertension, smoking, family history of CHD, and/or nephropathy. Thus, the current practice of selective use of statins for the primary prevention of ASCVD in some but not other patients with diabetes does not seem to target treatment to those at highest risk. The same appears to be the case in non-diabetic patients destined for a first MI [42]. Our data do not explain why so many diabetic patients at very high cardiovascular risk are not treated with statins. Denmark has a universal healthcare system that covers all citizens. Visits to general practitioners and specialists are free of charge, and diabetic patients are followed regularly by their general practitioner and/or diabetes outpatient clinics. The European guidelines on ASCVD prevention classified diabetes as a high-risk condition more than 10 years ago [4]. These guidelines were endorsed by Danish medical societies including, among others, the Danish Society of Cardiology, Danish Endocrine Society, and the Danish College of General Practitioners, and the importance of primary prevention with statins to diabetic patients at high risk has been stressed for many years [17-22]. However, the adherence to guideline recommendations is often low in general practice [43]. In a recent primary care study, only 45 % of patients with known type 2 diabetes were treated with a statin or another lipid-lowering drug [43]. The proportion of patients with screen-detected diabetes treated with statins varied widely between general practices, from 0 to 100 % [44]. In the ADDITION trial, in which general practitioners voluntarily had agreed to compare routine care of screen-detected diabetes with intensive treatment of multiple risk factors, the adherence to the given recommendations was low [44], which might have contributed to the neutral results [32]. Although patients differ in their willingness and ability to comply with prescribed medication, the great variability among general practitioners in the use of statins in patients diagnosed with diabetes indicates that primary care providers play a critical role in optimal implementation of the guidelines.

Smoking in diabetes

Active smoking increases the risk of type 2 diabetes, amplifies the diabetes-related risk for ASCVD, and accelerates the progression of diabetic nephropathy [45-47]. In Denmark, 10–15 % of the general population were current smokers in 2010–2012 [48]. In the present study, more than one-third of both the diabetic (36 %) and the non-diabetic (39 %) patients with first MI were current smokers, confirming the strong impact of smoking on cardiovascular risk. The recommendation to stop smoking is unanimously strong [7, 11, 17–19] even though the glycemic control may deteriorate temporarily after cessation of smoking [49]. The high prevalence of smoking in diabetic patients at very high risk for ASCVD indicates that current guidelines are insufficiently implemented.

Strengths and limitations

Our study has several important strengths. The study population consists of contemporary and consecutive (unselected) real-world patients with a first MI (hard ASCVD endpoint). Thus, the age, sex and risk factor distribution is representative of that seen in daily clinical practice of patients with first MI. Statin use before MI was assessed in patients who knew they had diabetes and were treated with diet and/or anti-diabetic drugs before the acute event. A limitation is the retrospective nature of the study. Potential limitations of risk factor assessment after versus before MI is not pertinent to the key message of the present study and has been discussed previously [13]. We may have underestimated the cardiovascular risk prior to statin therapy just by adding 1.5 mmol/L to the total cholesterol concentration, because people who decide to take statins may also try to improve other risk factors than cholesterol.

Conclusion

Approximately 14 % of 1622 consecutive patients hospitalized with a first MI had known diabetes. Primary prevention with statins had been initiated in less than half of the diabetic patients, although nearly all had one or more markers of very high cardiovascular risk. These results highlight an urgent need for optimizing statin therapy and global risk factor control in diabetic patients without known ASCVD.
  41 in total

1.  ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD: the Task Force on diabetes, pre-diabetes, and cardiovascular diseases of the European Society of Cardiology (ESC) and developed in collaboration with the European Association for the Study of Diabetes (EASD).

Authors:  Lars Rydén; Peter J Grant; Stefan D Anker; Christian Berne; Francesco Cosentino; Nicolas Danchin; Christi Deaton; Javier Escaned; Hans-Peter Hammes; Heikki Huikuri; Michel Marre; Nikolaus Marx; Linda Mellbin; Jan Ostergren; Carlo Patrono; Petar Seferovic; Miguel Sousa Uva; Marja-Riita Taskinen; Michal Tendera; Jaakko Tuomilehto; Paul Valensi; Jose Luis Zamorano; Jose Luis Zamorano; Stephan Achenbach; Helmut Baumgartner; Jeroen J Bax; Héctor Bueno; Veronica Dean; Christi Deaton; Cetin Erol; Robert Fagard; Roberto Ferrari; David Hasdai; Arno W Hoes; Paulus Kirchhof; Juhani Knuuti; Philippe Kolh; Patrizio Lancellotti; Ales Linhart; Petros Nihoyannopoulos; Massimo F Piepoli; Piotr Ponikowski; Per Anton Sirnes; Juan Luis Tamargo; Michal Tendera; Adam Torbicki; William Wijns; Stephan Windecker; Guy De Backer; Per Anton Sirnes; Eduardo Alegria Ezquerra; Angelo Avogaro; Lina Badimon; Elena Baranova; Helmut Baumgartner; John Betteridge; Antonio Ceriello; Robert Fagard; Christian Funck-Brentano; Dietrich C Gulba; David Hasdai; Arno W Hoes; John K Kjekshus; Juhani Knuuti; Philippe Kolh; Eli Lev; Christian Mueller; Ludwig Neyses; Peter M Nilsson; Joep Perk; Piotr Ponikowski; Zeljko Reiner; Naveed Sattar; Volker Schächinger; André Scheen; Henrik Schirmer; Anna Strömberg; Svetlana Sudzhaeva; Juan Luis Tamargo; Margus Viigimaa; Charalambos Vlachopoulos; Robert G Xuereb
Journal:  Eur Heart J       Date:  2013-08-30       Impact factor: 29.983

2.  Universal definition of myocardial infarction.

Authors:  Kristian Thygesen; Joseph S Alpert; Harvey D White
Journal:  Eur Heart J       Date:  2007-10       Impact factor: 29.983

3.  Variation in the net benefit of aggressive cardiovascular risk factor control across the US population of patients with diabetes mellitus.

Authors:  Justin W Timbie; Rodney A Hayward; Sandeep Vijan
Journal:  Arch Intern Med       Date:  2010-06-28

4.  ESC/EAS Guidelines for the management of dyslipidaemias: the Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and the European Atherosclerosis Society (EAS).

Authors:  Zeljko Reiner; Alberico L Catapano; Guy De Backer; Ian Graham; Marja-Riitta Taskinen; Olov Wiklund; Stefan Agewall; Eduardo Alegria; M John Chapman; Paul Durrington; Serap Erdine; Julian Halcox; Richard Hobbs; John Kjekshus; Pasquale Perrone Filardi; Gabriele Riccardi; Robert F Storey; David Wood
Journal:  Eur Heart J       Date:  2011-06-28       Impact factor: 29.983

5.  Primary prevention of cardiovascular disease with atorvastatin in type 2 diabetes in the Collaborative Atorvastatin Diabetes Study (CARDS): multicentre randomised placebo-controlled trial.

Authors:  Helen M Colhoun; D John Betteridge; Paul N Durrington; Graham A Hitman; H Andrew W Neil; Shona J Livingstone; Margaret J Thomason; Michael I Mackness; Valentine Charlton-Menys; John H Fuller
Journal:  Lancet       Date:  2004 Aug 21-27       Impact factor: 79.321

6.  Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies.

Authors:  N Sarwar; P Gao; S R Kondapally Seshasai; R Gobin; S Kaptoge; E Di Angelantonio; E Ingelsson; D A Lawlor; E Selvin; M Stampfer; C D A Stehouwer; S Lewington; L Pennells; A Thompson; N Sattar; I R White; K K Ray; J Danesh
Journal:  Lancet       Date:  2010-06-26       Impact factor: 202.731

7.  Effect of early intensive multifactorial therapy on 5-year cardiovascular outcomes in individuals with type 2 diabetes detected by screening (ADDITION-Europe): a cluster-randomised trial.

Authors:  Simon J Griffin; Knut Borch-Johnsen; Melanie J Davies; Kamlesh Khunti; Guy E H M Rutten; Annelli Sandbæk; Stephen J Sharp; Rebecca K Simmons; Maureen van den Donk; Nicholas J Wareham; Torsten Lauritzen
Journal:  Lancet       Date:  2011-06-24       Impact factor: 79.321

8.  Treatment-dependent and treatment-independent risk factors associated with the risk of diabetes-related events: a retrospective analysis based on 229,042 patients with type 2 diabetes mellitus.

Authors:  Thomas Wilke; Sabrina Mueller; Antje Groth; Andreas Fuchs; Lisa Seitz; Joachim Kienhöfer; Ulf Maywald; Rainer Lundershausen; Martin Wehling
Journal:  Cardiovasc Diabetol       Date:  2015-02-03       Impact factor: 9.951

9.  In-hospital mortality among patients with type 2 diabetes mellitus and acute myocardial infarction: results from the national inpatient sample, 2000-2010.

Authors:  Bina Ahmed; Herbert T Davis; Warren K Laskey
Journal:  J Am Heart Assoc       Date:  2014-08-26       Impact factor: 5.501

10.  Cohort comparison study of cardiac disease and atherosclerotic burden in type 2 diabetic adults using whole body cardiovascular magnetic resonance imaging.

Authors:  Suzanne L Duce; Jonathan R Weir-McCall; Stephen J Gandy; Shona Z Matthew; Deirdre B Cassidy; Lynne McCormick; Petra Rauchhaus; Helen Looker; Helen M Colhoun; J Graeme Houston
Journal:  Cardiovasc Diabetol       Date:  2015-09-18       Impact factor: 9.951

View more
  7 in total

1.  The role of statins in patients with early diabetic nephropathy: A protocol for systematic review and meta-analysis.

Authors:  Xi Zhao; Shu Chun Zhou; Xiu Fang Wang; Hong Wu Liao
Journal:  Medicine (Baltimore)       Date:  2022-06-17       Impact factor: 1.817

Review 2.  Updated Understanding of the Crosstalk Between Glucose/Insulin and Cholesterol Metabolism.

Authors:  Xuan Xiao; Yonghong Luo; Daoquan Peng
Journal:  Front Cardiovasc Med       Date:  2022-04-29

3.  Effects of background statin therapy on glycemic response and cardiovascular events following initiation of insulin therapy in type 2 diabetes: a large UK cohort study.

Authors:  Uchenna Anyanwagu; Jil Mamza; Richard Donnelly; Iskandar Idris
Journal:  Cardiovasc Diabetol       Date:  2017-08-22       Impact factor: 9.951

4.  Atorvastatin Decreased Circulating RANTES Levels in Impaired Glucose Tolerance Patients with Hypercholesterolemia: An Interventional Study.

Authors:  Xiaomeng Feng; Xia Gao; Yumei Jia; Heng Zhang; Yuan Xu
Journal:  Diabetes Ther       Date:  2017-01-24       Impact factor: 2.945

5.  Adherence to Clinical Guidelines on STATIN Prescribing Among Diabetic Patients Aged 40-75 Years Old in a Primary Care Setting: A Cross-Sectional Study.

Authors:  Abdallah Damin Abukhalil; Motaz Alyan; Woroud AbuAita; Ni'meh Al-Shami; Hani A Naseef
Journal:  Patient Prefer Adherence       Date:  2022-08-02       Impact factor: 2.314

6.  Suboptimal control of lipid levels: results from the non-interventional Centralized Pan-Russian Survey of the Undertreatment of Hypercholesterolemia II (CEPHEUS II).

Authors:  Sergey Boytsov; Natalia Logunova; Yunona Khomitskaya
Journal:  Cardiovasc Diabetol       Date:  2017-12-16       Impact factor: 9.951

Review 7.  Actions of metformin and statins on lipid and glucose metabolism and possible benefit of combination therapy.

Authors:  Mariël F van Stee; Albert A de Graaf; Albert K Groen
Journal:  Cardiovasc Diabetol       Date:  2018-06-30       Impact factor: 9.951

  7 in total

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