Buscar en
Endocrinología, Diabetes y Nutrición (English ed.)
Toda la web
Inicio Endocrinología, Diabetes y Nutrición (English ed.) Very long-term incidence of major cardiovascular events in patients with diabete...
Journal Information
Vol. 69. Issue 8.
Pages 650-652 (October 2022)
Vol. 69. Issue 8.
Pages 650-652 (October 2022)
Scientific letter
Full text access
Very long-term incidence of major cardiovascular events in patients with diabetes and chronic coronary syndrome: Data from the CICCOR registry
Incidencia a muy largo plazo de eventos cardiovasculares mayores en pacientes con diabetes y síndrome coronario crónico: datos del registro CICCOR
Visits
174
Leticia Mateos de la Habaa, Martín Ruiz Ortiza,b,
Corresponding author
maruor@gmail.com

Corresponding author.
, Cristina Ogayar Luquea, Elías Romo Peñasa, José Javier Sánchez Fernándeza
a Servicio de Cardiología, Hospital Universitario Reina Sofía, Córdoba, Spain
b Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
This item has received
Article information
Full Text
Bibliography
Download PDF
Statistics
Full Text

Diabetes and chronic coronary syndrome (CCS) are closely related: approximately one third of patients with CCS are diabetic,1–3 and these patients have had a worse prognosis than patients without diabetes in prior studies.1–3 However, information on long-term follow-up of this population is very limited in Spain. Our objective was to investigate very long-term prognosis in a cohort of patients with diabetes and CCS in day-to-day clinical practice.

The Cardiopatía Isquémica Crónica en CÓRdoba [Chronic Ischaemic Heart Disease in Córdoba] (CICCOR) registry was an observational, prospective, single-centre cohort study with the objective of researching CCS prognosis.3 From 01/02/2000 to 31/01/2004, 1268 consecutive patients with CCS who attended two general cardiology appointments at a tertiary hospital, referred by primary care physicians, from the emergency department or for review following hospitalisation in cardiology or internal medicine were prospectively selected. All CICCOR registry patients with a diagnosis of diabetes mellitus at their baseline visit were selected for this analysis. The primary objective of the study was to investigate the very long-term incidence of major adverse cardiovascular events (MACEs) (combined event: infarction, stroke or cardiovascular death), that of each element of the primary objective, the incidence of admissions due to heart failure and overall mortality, as well as factors associated with MACE onset. The study was approved by the local Independent Ethics Committee, and the patients consented to inclusion in the study.

A total of 394 patients were included in the study. Table 1 shows the baseline characteristics of the series. None of the patients received dipeptidyl peptidase-4 inhibitors, sodium-glucose cotransporter-2 inhibitors or glucagon-like peptide agonists at the baseline visit, as they were not on the market at that time in Spain. After a maximum follow-up of 17 years (median: 9 years; p25−75: 4–14 years), with just two patients lost to follow-up and 3517 patients per year of observation, 207 patients experienced a MACE. Of them, 55 patients had a stroke, 66 patients had an infarction and 165 patients died due to a cardiovascular cause. One hundred and one patients were admitted for heart failure; 238 patients died. The annual incidence of MACEs was 6.5 per 100 patient-years, with 1.64 corresponding to stroke, 1.97 to infarction, 3.12 to admission for heart failure, 4.69 to cardiovascular death and 6.77 to total mortality per 100 patient-years. The probability of survival free from each of these events after 12 years were 47%, 85%, 80%, 68%, 56% and 45%, respectively. In multivariate models, variables independently associated with MACEs were age (hazard ratio [HR] 1.06 [1.04–1.08], p < 0.0005), being a former smoker (HR 1.43 [1.02–1.99], p = 0.04) or an active smoker (HR 2.23 [1.16–4.30], p = 0.02), having angina in a functional class ≥ II (HR 1.57 [1.14–2.16], p = 0.006), baseline heart rate (HR 1.04 [1.00–1.08], p = 0.04) and treatment with diuretics (HR 1.71 [1.26–2.30], p = 0.001).

Table 1.

Baseline characteristics of the sample and univariate predictors of major adverse cardiovascular events in follow-up.

Variable  Total  Major adverse CV events  No major adverse CV events  Hazard ratio (95% CI) 
  N = 394  n = 207  n = 187     
Age (years)  68.7 ± 8.3  69.9 ± 7.2  66.4 ± 9.8  1.05 (1.04−1.07)  <0.0005 
Male sex, n (%)  241 (61.2)  121 (58.4)  120 (64.2)  0.90 (0.68−1.18)  0.45 
Hypertension, n (%)  246 (62.6)  129 (62.3)  117 (62.9)  1.04 (0.78−1.37)  0.80 
Active smoker, n (%)  21 (5.4)  13 (6.3)  8 (4.4)  1.21 (0.69−2.15)  0.51 
Former smoker, n (%)  116 (29.9)  59 (28.6)  57 (31.3)  0.96 (0.71−1.30)  0.79 
Dyslipidaemia, n (%)  294 (82.6)  160 (83.3)  134 (81.7)  0.90 (0.61−1.31)  0.57 
Prior ACS, n (%)  332 (84.3)  176 (85)  154 (83.4)  1.18 (0.80−1.72)  0.40 
Prior revasc., n (%)  172 (43.8)  91 (44)  81 (43.5)  0.88 (0.67−1.16)  0.36 
Percutaneous revasc., n (%)  118 (30)  60 (29)  58 (31.2)  1.00 (0.98−1.00)  0.32 
Surgical revasc., n (%)  61 (15.5)  33 (15.9)  28 (15.1)  0.93 (0.64−1.35)  0.69 
Atrial fibrillation, n (%)  23 (5.9)  12 (5.8)  11 (6)  1.39 (0.77−2.49)  0.30 
Prior CHF, n (%)  27 (6.9)  19 (9.2)  8 (4.3)  2.01 (1.25−3.23)  0.004 
Angina FG ≥ II, n (%)  92 (23.4)  59 (28.5)  33 (17.6)  1.71 (1.27−2.32)  0.001 
Baseline SBP (mmHg)  132.7 ± 15  133.2 ± 14.2  132.1 ± 16.5  1.00 (1.00−1.01)  0.45 
Baseline DBP (mmHg)  74.5 ± 8.6  74.7 ± 8.7  74.6 ± 8.6  1.01 (0.99−1.02)  0.41 
Baseline HR (bpm)  70.5 ± 12.3  71.2 ± 12.2  69 ± 11.4  1.01 (1.00−1.02)  0.02 
Blood glucose (mg/dl)  165.1 ± 53.3  167.5 ± 58.3  161.8 ± 46.0  1.00 (0.99−1.01)  0.98 
Baseline blood glucose <108 mg/dl, n (%)  14 (8.8)  10 (10.9)  4 (5.9)  1.76 (0.91−3.40)  0.09 
Total cholesterol (mg/dl)  191.2 ± 38.7  195 ± 39.3  189.4 ± 37.9  1.00 (0.99−1.00)  0.51 
HDL-C (mg/dl)  50.3 ± 12.3  50.8 ± 12.3  49.2 ± 12.7  1.01 (1.00−1.02)  0.12 
LDL-C (mg/dl)  114.5 ± 32.4  114 ± 33.5  114.3 ± 31.3  0.99 (0.99−1.00)  0.77 
LDL-C <70 mg/dl, n (%)  25 (8.2)  17 (10.1)  8 (5.9)  1.47 (0.89−2.43)  0.13 
LDL-C <55 mg/dl, n (%)  3 (1)  3 (1.8)  0 (0)  6.96 (2.18−22.23)  0.001 
Triglycerides (mg/dl)  135.3 ± 75.9  144.1 ± 86.7  126 ± 58.6  1.00 (1.00−1.00)  0.63 
Creatinine (mg/dl)  1.1 ± 0.3  1.2 ± 0.3  1.1 ± 0.3  1.78 (0.94−3.36)  0.1 
GFR (ml/min)  63.7 ± 16.0  63.6 ± 16.1  63.9 ± 16.1  0.99 (0.98−1.00)  0.16 
Haemoglobin (g/dl)  14.1 ± 2.7  14.2 ± 3.2  13.9 ± 1.7  0.98 (0.92−1.06)  0.64 
Leukocytes (103/μl)  8.0 ± 1.7  7.9 ± 1.6  8.0 ± 1.9  1.02 (0.90−1.16)  0.79 
Platelets (103/μl)  231.3 ± 75.0  239.1 ± 82.6  220.8 ± 62.4  1.00 (1.00−1.00)  0.10 
Abnormal ECG, n (%)  268 (70.5)  139 (69.2)  129 (72.1)  1.13 (0.84−1.52)  0.43 
Cardiomegaly n (%)  51 (14.3)  29 (15.2)  22 (13.3)  1.42 (0.95−2.11)  0.10 
LVEF (%)  53.8 ± 14.8  53.7 ± 15.4  54 ± 14.1  1.00 (0.98−1.00)  0.32 
Antiplatelet therapy, n (%)  359 (91.3)  187 (90.3)  172 (92.5)  0.67 (0.42−1.06)  0.10 
Oral anticoagulation, n (%)  23 (5.9)  12 (5.8)  11 (5.9)  1.48 (0.83−2.66)  0.21 
Beta blockers, n (%)  280 (71.1)  140 (67.6)  140 (74.9)  0.79 (0.59−1.05)  0.11 
Statins, n (%)  258 (65.5)  137 (66.2)  121 (64.7)  0.77 (0.58−1.03)  0.08 
Nitrates, n (%)  285 (72.5)  152 (73.4)  133 (71.5)  1.07 (0.78−1.45)  0.69 
ACE inhibitors/ARBs, n (%)  240 (60.9)  128 (61.8)  112 (59.9)  1.03 (0.78−1.36)  0.86 
Diuretics, n (%)  148 (37.7)  88 (42.5)  60 (32.3)  1.68 (1.27−2.22)  <0.0005 

95% CI: 95% confidence interval; ACE inhibitors: angiotensin converting enzyme inhibitors; ACS: acute coronary syndrome; ARBs: angiotensin II receptor blockers; CHF: congestive heart failure; CV: cardiovascular; DBP: diastolic blood pressure; ECG: electrocardiogram; FG: functional grade; GFR: glomerular filtration rate; HDL-C: cholesterol bound to high-density lipoproteins; HR: heart rate; LDL-C: cholesterol bound to low-density lipoproteins; LVEF: left ventricular ejection fraction; revasc.: revascularisation; SBP: systolic blood pressure.

The major clinical trials that have studied new antidiabetic drugs in populations at high cardiovascular risk have generally found lower incidences of MACEs compared to our study.4 Other observational studies5,6 have shown rates of events that were lower than or similar to those of our study. Differences in baseline characteristics, history of cardiovascular disease, baseline kidney function, management of risk factors, rates of prior revascularisation and medical treatment might account for these differences. However, studies with a follow-up beyond five years are very limited. Hence, our study adds valuable information regarding these patients' very long-term course. This study also showed the impact on prognosis of simple clinical variables, which, though reported in general populations of patients with CCS,1–3 had not been widely validated in the subgroup of patients with diabetes. The limitations of the study included the unavailability of information on type of diabetes, baseline glycosylated haemoglobin or other variables of prognostic interest, such as frailty, depression or social support; the impossibility of accurately describing changes in treatment over time, including the addition of drugs of prognostic interest such as sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide agonists; and the study's single-centre nature.

Finally, the main clinical implication of our study was the accurate picture it painted for the scientific community of the nature of the very long-term course of diabetic patients in the early decades of the 21 st century. The high rates of events found could represent an incentive to both optimise the management of classic cardiovascular risk factors and extend the use of new antidiabetic drugs which have demonstrated prognostic benefits.

Funding

This study was funded by the Sociedad Andaluza de Cardiología [Andalusian Society of Cardiology] through a research grant from the Boehringer Ingelheim–Lilly alliance.

References
[1]
C. Bauters, M. Deneve, O. Tricot, T. Meurice, N. Lamblin.
Prognosis of patients with stable coronary artery disease (from the CORONOR study).
Am J Cardiol, 113 (2014), pp. 1142-1145
[2]
E. Rapsomaniki, A. Shah, P. Perel, S. Denaxas, J. George, O. Nicholas, et al.
Prognostic models for stable coronary artery disease based on electronic health record cohort of 102023 patients.
Eur Heart J, 35 (2014), pp. 844-852
[3]
J. Sánchez Fernández, M. Ruiz Ortiz, C. Ogayar Luque, J.M. Cantón Gálvez, E. Romo Peñas, D. Mesa Rubio, et al.
Supervivencia a largo plazo de una población española con cardiopatía isquémica estable: el registro XXX1.
Rev Esp Cardiol, 72 (2019), pp. 827-834
[4]
T.A. Zelniker, S.D. Wiviott, I. Raz, et al.
SGLT2 inhibitors for primary and secondary prevention of cardiovascular and renal outcomes in type 2 diabetes: a systematic review and meta-analysis of cardiovascular outcome trials.
[5]
P. Jiang, Y. Song, J.J. Xu, H.-H. Wang, L. Jiang, W. Zhao, et al.
Two-year prognostic value of mean platelet volume in patients with diabetes and stable coronary artery disease undergoing elective percutaneous coronary intervention.
Cardiol J, 26 (2019), pp. 138-146
[6]
G.B.J. Mancini, W.E. Boden, M.M. Brooks, H. Vlachos, B.R. Chaitman, R. Frye, et al.
Impact of treatment strategies on outcomes in patients with stable coronary artery disease and type 2 diabetes mellitus according to presenting angina severity: a pooled analysis of three federally-funded randomized trials.
Atherosclerosis, 277 (2018), pp. 186-194
Copyright © 2021. SEEN and SED
Article options
Tools
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos