Epidemiology and Economic Burden of Cardiovascular Disease in Patients with Type 2 Diabetes Mellitus in Spain: A Systematic Review

Abstract

Introduction

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in people with type 2 diabetes mellitus (T2DM). The objectives of this systematic literature review were to identify and synthesize published data describing the epidemiology and mortality of CVD in the T2DM population and the associated economic burden.

Methods

We conducted a systematic review searching the PubMed and MEDES databases from 2009 to 2019 using predefined selection criteria. Peer-reviewed observational studies reporting primary or secondary data on CVD prevalence, incidence, mortality, resource use and costs in patients with T2DM in Spain, written in English and Spanish, were included. Data were tabulated and summarized descriptively.

Results

Of 706 articles identified, 52 were included in the review. Most studies were based on data from hospital discharge databases and registries. The reported prevalence of CVD among patients with T2DM ranged from 6.9 to 40.8%. The prevalence of coronary heart disease ranged from 4.7 to 37%, stroke from 3.5 to 19.6%, peripheral artery disease from 2.5 to 13.0%, and heart failure from 4.3 to 20.1%. In-hospital CVD mortality rates ranged from 5.6 to 10.8%. Direct costs due to CVD in hospitalized patients with T2DM were increased (> 50%) compared with patients without CVD. No studies analysed indirect costs of CVD in patients with T2DM.

Conclusions

The burden of CVD among patients with T2DM, combined with the elevated costs of care, highlights the importance of early prevention as part of integrated management of the disease to improve clinical and economic outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13300-021-01060-8.

Key Summary Points

About one-third of patients with type 2 diabetes mellitus (T2DM) have cardiovascular disease (CVD), which is the leading cause of mortality in this group.

Total direct costs associated with CVD complications in patients with T2DM can be twice those of patients without CVD.

The literature on CVD complications in the T2DM population is methodologically diverse, which limits comparative analysis and pooling of data.

In studies published between 2009 and 2019, the prevalence of CVD among patients with T2DM in Spain ranged from 7 to 41%, and in-hospital mortality rates due to CVD were between 6 and 11%.

Given the high burden of treating CVD complications in patients with T2DM, early prevention of CVD is critical and should be a priority in these patients.

Digital Features

This article is published with digital features, including a summary slide, to facilitate understanding of the article. To view digital features for this article go to https://doi.org/10.6084/m9.figshare.14356655.

Introduction

Cardiovascular disease (CVD) morbidity affects approximately 32% of patients with type 2 diabetes mellitus (T2DM) worldwide and is a leading cause of mortality [1]. According to the International Diabetes Federation, people with diabetes are two- to threefold more likely to develop CVD than their non-diabetic counterparts [2].

Generally, the cardiovascular (CV)-related effects of hyperglycaemia are separated into macrovascular complications (coronary heart disease [CHD], stroke and peripheral arterial disease [PAD]) and microvascular complications (diabetic nephropathy, neuropathy and retinopathy). The central pathological mechanism in macrovascular disease is atherosclerosis, but the precise mechanisms through which hyperglycaemia promotes atherosclerotic plaque formation are not fully understood [3].

Since T2DM complications are mostly CV in nature, the control of CV risk factors should be an integral part of the treatment of T2DM [4–6]. In addition to glycaemic control, risk factors for CVD in patients with T2DM include hypertension, dyslipidaemia, obesity, lack of physical activity and smoking [7]. Of these, blood pressure and lipid control have been regarded as the two most important risk factors for CVD in recent guidelines [8, 9]. The 2020 American Diabetes Association (ADA) guidelines indicate that CVD risk factors should be assessed annually in all patients with T2DM and that their control is essential for the optimal management of T2DM [8].

In recent years, focus has increasingly been on the management of CV risks in the context of diabetic pharmacotherapy. There is strong interest in demonstrating both the CV safety and the CV benefit of all antidiabetic agents, especially for macrovascular complications. CV outcomes trials have evaluated the CV safety and efficacy profile of some of these agents [10]. As a result, the recently published ADA/European Association for the Study of Diabetes (EASD) consensus statement recommends the use of sodium-glucose cotransporter-2 inhibitors (SGLT2i) and glucagon-like peptide-1 receptor agonists (GLP-1 RAs) in patients with T2DM with established CVD or high CV risk [5, 6]. Some individual agents within these drug classes have been shown to have CV benefits for risk reduction of CV events in patients with T2DM [11].

CVDs have been recognized as having a major impact on the direct costs of treating patients with T2DM. A recent review on the global economic burden of treating CV comorbidities in patients with T2DM found that direct medical costs were significantly increased in this population [12]. This study found that the median increase in costs due to treating patients with CVD complications was 112% (range 47–196%) compared with patients with T2DM alone [12]. However, this review also highlighted that the number of studies devoted to this issue was generally limited and that more research should be conducted to inform health economic evaluations.

A recent worldwide systematic literature review found that, based on seven articles published between 2009 and 2016, the prevalence of CVD associated with T2DM in Spain was 29.8% [1]. However, the worldwide scope of this systematic review precluded inclusion of other studies from Spain and a more detailed analysis of the data derived from Spanish patients. It also did not include incidence or associated costs. As the different CVDs are associated with distinct risks in patients with T2DM [13, 14], having precise and current epidemiological information is essential in resource allocation and therapy evaluation. The purpose of this systematic review was to gather and synthesize the studies published in the last 10 years reporting data on the prevalence and incidence of CVD, CVD-related mortality and associated burdens and costs in adult patients with T2DM in Spain.

Methods

The systematic search and procedures were performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The objective of this systematic literature review was to identify and synthesize the data available on the overall prevalence of CVD in adults with T2DM in Spain; the incidence of CVD in adults with T2DM and CV risk factors in Spain; the incidence of a subsequent CVD event in adults with established CVD and T2DM in Spain; the mortality due to CVD in patients with T2DM in Spain; health resource utilization (HRU) and costs associated with CV events in adults with T2DM in Spain (direct and indirect costs, total costs and information about impact on work); and the costs associated with CV events in patients with T2DM with or without established CVD.

This article is based on previously conducted studies and does not contain any new studies with human participants or animals performed by any of the authors.

Selection Criteria

Selection criteria focused on peer-reviewed articles with epidemiological and health economics data published between January 2009 and December 2019. Observational studies (cross-sectional, cohort studies) reporting primary (e.g. surveys) or secondary (e.g., databases) data on CVD prevalence, incidence, mortality, costs or resource use in adults (aged ≥ 18 years) with T2DM were eligible. Included articles contained data on macrovascular CVD (e.g. CVD overall, CHD, haemorrhagic or ischaemic cerebrovascular disease, PAD, heart failure [HF], atherosclerosis). Studies in which data on patients with T2DM were present but not the main focus of the study were included only if the diabetic population was fully characterized (e.g. studies on population-level rates of CVD or conditions). All publications reviewed were in English or Spanish.

We excluded narrative and systematic reviews, clinical trials, letters, opinion articles and editorials. Abstracts, conference proceedings and articles on economic models were not considered, and studies focused on diabetic retinopathy and other microvascular complications were excluded.

Literature Search

The search was undertaken between 15 November and 7 December 2019. The primary electronic databases searched were MEDLINE (PubMed) and MEDES (Spanish bibliographic database in health sciences). The search terms for MEDLINE used the following medical subject headings and standard keywords in all fields and in various combinations: cardiovascular disease; myocardial; cardiac; cardiovascular; coronary; stroke; cerebrovascular; angina; diabetes mellitus, type 2; diabetes complications; prevalence; incidence; epidemiology; morbidity; burden; costs and cost analysis; economic impact; resources; and Spain. Search terms for MEDES used the equivalent keywords in Spanish in various combinations: diabetes tipo 2; cardiovascular; cardiaco; infarto; ictus; prevalencia; incidencia; epidemiología; carga; costes. The literature found was complemented with articles identified through manual searches of the bibliographies of included studies.

Data Extraction and Analysis

Two reviewers independently screened and selected articles, and a third reviewer arbitrated in case of any doubt on eligibility. Data from each article were extracted and subsequently verified by an independent reviewer.

From each selected article, the following data were extracted and tabulated: data collection period; geographic scope (i.e. national, regional, local); study design; data source; number of patients with T2DM included; outcome of interest reported (i.e. prevalence, incidence, mortality, costs); and type of event (i.e. CVD overall, CHD, cerebrovascular accident [CVA], PAD, HF). The definition of CVD used in each study was also retrieved.

Studies with prevalence data were classified according to the study population: general population with diabetes mellitus versus special populations, such as those with a predetermined age range (e.g. elderly) or with additional comorbidities (e.g. kidney disease). The following patient characteristics were extracted: sex (% male), age (mean, years), disease duration (mean, years) and glycated haemoglobin (HbA1c; %). Data on prevalence, reported as the number of patients with the event of interest present in the study population, were extracted and presented by event type (CVD overall, CHD, CVA, PAD, HF). Studies with a national versus a regional scope were presented separately. The prevalence of CVD overall by geography was presented graphically.

Incidence data (new occurrences of the event of interest over a period of time) were extracted as reported in the selected articles (e.g. rate per 100,000 inhabitants, age-adjusted, percentage, rate per 1000 person-years). Recurrences of events in patients with established CVD are described separately. Incidence and mortality data are presented by event type (CVD overall, CHD and myocardial infarction, CVA, aortic aneurism and dissection, acute lower limb ischaemia, PAD, HF) and by geographical scope (national, regional). The length of the follow-up period was obtained for incidence and mortality outcomes. Costs were extracted as mean cost per episode per patient in some studies, whereas others reported total cost per patient-year. Where available, the cost components (e.g. hospitalizations, pharmacological treatment) were obtained. The year for cost calculation is also presented.

No formal statistical analysis was performed. Data are reported as ranges from the various studies. Given the heterogeneity of the data, no meta-analysis or overall quantitative synthesis was undertaken.

Results

The article selection process is shown in Fig. 1. The initial search identified 114 papers of possible interest, and 52 met the selection criteria after systematic and detailed examination of the full article. Table 1 lists these studies along with their methodological characteristics and main outcomes. In total, 22 studies had a cross-sectional design, 20 were retrospective and ten were prospective cohort studies. Electronic Supplementary Material (ESM) Table S1 provides detailed descriptions of the definitions of CVD in each article and shows that most studies used codes from the International Statistical Classification of Diseases and Related Health Problems, Ninth or Tenth Revision (ICD-9 or ICD-10) to identify the presence of CVD or the occurrence of CV events.

Fig. 1.

Flow diagram showing the selection process of the included articles. DM1 Type 1 diabetes mellitus

Table 1.

Articles included in this systematic review on the epidemiology of cardiovascular disease and health resource utilization and costs associated with cardiovascular events in adults with type 2 diabetes mellitus in Spain (2009–2019)

First author of article [citation number]	Data collection period	Geographic range	Study design	Data source	Patients with T2DM (N)	CV-related outcomes
Alonso-Morán [15]	2007–2011	Regional: Basque Country	Retrospective cohort	Public Health Service databases	149,015	Prevalence (CHD, CVA, PAD, HF); incidence (ACS)
Ares [16]	1998–2016	Regional: Asturias	Population-based, retrospective cohort	Random sampling from the general population	48	Mortality
Arrieta [17]	2012	Regional: Madrid Community	Cross-sectional cohort study	Interviews with primary care physicians, expert panel analysis	3268	Costs (CVD)
Arrieta [18]	2007–2010	Regional: Madrid Community	Cross-sectional cohort study	Interviews with primary care physicians, expert panel analysis	3268	Incidence (CHD, CVA, PAD)
Arrieta [19]	2007	Regional: Madrid Community	Cross-sectional	Random sampling in primary healthcare centres	3268	Prevalence (CHD, CVA, PAD, HF)
Barrot-de la Puente [20]	2011	Regional: Catalonia	Population-based, cross-sectional	Electronic database	318,020	Prevalence (CVD, CHD, CVA, PAD, HF)
Cano [21]	1993–2008	Regional: Catalonia	Population-based prospective cohort	Recruitment in primary care centres	2260	Incidence (ACS, CHD); mortality
Camafort [22]	2003–2009	National	Prospective cohort	Hospital-based Risk Factors in Arterial Disease (FRENA) registry	974	Incidence (CHD, CVA, PAD, AMI); mortality
Carrasco-Sánchez [23]	2008–2011	National	Prospective cohort	Spanish National Registry on Heart Failure (RICA)	490	Prevalence (CHD, CVA, PAD, HF)
Catalán [24]	2012–2013	Local: Barcelona	Cross-sectional	Primary care centres survey of newly diagnosed T2DM patients	106	Prevalence (atherosclerosis)
Clua-Espuny [25]	2013–2016	Local: Terres de l’Ebre health area (Catalonia)	Retrospective cohort study	Catalonian Health Institute Registry of complex chronic patients	494	Prevalence (CHD, CVA, PAD, HF); mortality
Crespo [26]	2012	National	Retrospective	Various databases	544,515	Costs (CVD, PAD, CVA)
De Miguel-Yanes [27]	2002–2014	National	Retrospective study	National Hospital Discharge Database	130,011	Incidence (AAD, ALLI, AMI, CVA, CVD); mortality
De Pablos [28]	2007	National	Cross-sectional	Primary care centres survey	601	Prevalence (CHD, CVA, PAD)
Ferrer [29]	2009	Local: Baix Llobregat (Catalonia)	Population-based, prospective cohort	Random sampling in primary health centres	85	Prevalence (CHD, CVA, PAD, HF)
Flores-Le Roux [30]	2000–2002	Local: Hospital del Mar (Catalonia)	Retrospective cohort	Patients admitted to hospital CV unit	149	Prevalence (CHD, CVA, PAD); mortality
Formiga [31]	2013–2014	Local: Bellvitge University Hospital (Catalonia)	Retrospective cohort	Hospital admissions data	240	Prevalence (CHD, CVA); mortality
Franch-Nadal [32]	Up to 2009	Regional: Catalonia	Population-based, cross-sectional	Database of electronic medical records	286,791	Prevalence (CVD)
Gámez [33]	2011–2012	National	Cross-sectional	Cardiology consultation sampling (SIRENA study)	257	Prevalence (HF, stroke, PAD) in women with CHD
González-Juanatey [34]	–	National	Cross-sectional	DIVA registry subanalysis	2444	Prevalence (CHD, CVA, PAD)
Gual [35]	–	National	Prospective cohort	LONGEVO-SCA registry of ACS patients aged ≥ 80 years	212	Prevalence (CHD, CVA, PAD) in ACS patients
Jiménez-Trujillo [36]	2001–2012	National	Retrospective cohort	National hospital discharge database	10,491	Incidence (thoracic aortic aneurysm)
Jurado [37]	2001–2002	Local: Girona (Catalonia)	Cross-sectional	Random sampling in primary care centres	307	Prevalence (CVD, CHD, PAD)
López-de-Andrés [38]	2003–2012	National	Retrospective cohort	Spanish National Hospital Database	19,232	Incidence (AAA); mortality (AAA)
López-de-Andrés [39]	2001–2010	National	Retrospective cohort	Spanish National Hospital Database	155,676	Incidence (AMI); mortality (AMI)
López-de-Andrés [40]	2001–2006	National	Retrospective cohort	Spanish National Hospital Database	90,835	Incidence (AMI); mortality (AMI); costs (AMI)
Navarro-Pérez [41]	2008–2012	Regional: Valencia Community	Population-based, prospective cohort	Electronic health records	19,140	Incidence (CHD, stroke) by HbA1c level; mortality
Mata-Cases [42]	2010–2016	Regional: Catalonia	Population-based, cross-sectional	Registry of primary health care system	373,185	Prevalence (CVD, HF)
Mata-Cases [43]	2011	Regional: Catalonia	Population-based, cross-sectional	Registry of primary health care system and SIDIAP database	126,811	Prevalence (CHD, CVA, PAD, HF); Costs (CVD, HF)
Mata-Cases [44]	1991–2016	Local: Sant Adrià de Besòs (Catalonia)	Retrospective cohort	Primary health centre	469	Incidence (CVD, AMI, CVA, PAD); mortality
Mata-Cases [45]	1991–2000	Local: Sant Adrià de Besòs (Catalonia)	Retrospective cohort	Registry in single primary health centre	487	Prevalence (CVD, CHD, CVA, PAD)
Mostaza [46]	–	National	Prospective cohort	Registry in major hospitals	498	Incidence (CVD, AMI); mortality
Mundet [47]	2003	Regional: Catalonia	Cross-sectional	Primary care health centres	4298	Prevalence (CVD, CHD, CVA)
Muñoz-Rivas [48]	2001–2015	National	Retrospective cohort	Spanish National Hospital Discharge Database	553,775	Incidence (HF); mortality (HF)
Muñoz-Rivas [49]	2003–2012	National	Retrospective cohort	Spanish National Hospital Discharge Database	33,230	Incidence (haemorrhagic stroke)
Muñoz-Rivas [50]	2003–2012	National	Retrospective cohort	Spanish National Hospital Discharge Database	130,858	Incidence (ischaemic stroke)
Orozco-Beltrán [51]	2008–2012	Regional: Valencia Community	Prospective cohort	Registry	19,144	Incidence (CHD, CVA)
Ortega [52]	2009–2010	National	Population-based, cross-sectional	Nurse-administered questionnaire and physician reports	312	Prevalence (CVD, CHD, CVA, PAD)
Palanca [53]	2010–2012	National	Prospective cohort	Database from the NEFRONA study	698	Incidence (CVD) in CKD patients
Peña-Longobardo [54]	2011–2012	National	Cross-sectional	Spanish National Health Survey	1905	Prevalence (CVD)
Pérez [55]	2011–2012	National	Cross-sectional	Primary health centres survey	5382	Prevalence (CVD, CHD, CVA, PVD)
Piniés [56]	1998–2000	Regional: Basque Country	Population-based, cross-sectional	Sentinel Practice Network of epidemiological surveillance database	777	Prevalence (CVD, CHD, CVA, PAD); incidence (CVD, CHD, CVA, PAD); mortality
Ramírez-Prado [57]	2010–2014	Local: Hospital del Elda (Alicante)	Retrospective cohort	Randomly selected cohort	112	Mortality
Ramos [58]	2005–2015	Regional: Catalonia	Retrospective cohort	Regional database of the primary care system	7880	Incidence (CVD, CHD, CVA)
Rodríguez-Poncelas [59]	2011	National	Cross-sectional	Primary health centres	674	Prevalence (CHD, CVA, PVD)
Salinero-Fort [60]	2007–2012	Local: Madrid metropolitan area	Prospective cohort	Random sampling from primary health centres	3407	Prevalence (CVD, CHD, CVA, PAD, HF); mortality
Salinero-Fort [61]	2015	Regional: Madrid Community	Population-based, cross-sectional	Population study of patients aged ≥ 90 years	11,645	Prevalence (CVD, CHD, CVA, PAD, HF)
Sancho-Mestre [62]	2012	Regional: Valencia Community	Cross-sectional	Electronic health records	350,015	Prevalence (CVD); costs (pharmaceutical)
Sicras-Mainar [63]	2008–2009	Regional: Badalona (Catalonia)	Retrospective cohort	Primary health care survey	987	Prevalence (CVD, CHD, CVA)
Sicras-Mainar [64]	2010	Local: Badalona (Catalonia)	Retrospective cohort	Primary health care survey	3758	Incidence (CVD); Costs
Vinagre [65]	2009	Regional: Catalonia	Retrospective cohort	Electronic health records	286,791	Prevalence (CHD, CVA, PAD)
Zapatero-Gaviria [66]	2015	National	Cross-sectional	Hospital discharges database: minimum basic data set of the Spanish Ministry of Health	619,188	Prevalence (CVD, CHD, CVA, PAD, HF); mortality

AAA abdominal aortic aneurysm, AAD aortic aneurysm and dissection, ACS acute coronary syndrome, ALLI acute lower limb ischemia, AMI acute myocardial infarction, CHD coronary heart disease, CKD chronic kidney disease, CV cardiovascular, CVA cerebrovascular accident (stroke), CVD CV disease, HbA1c glycated haemoglobin, HF heart failure, HRU health resource utilization, PAD peripheral arterial disease, T2DM type 2 diabetes mellitus

Regarding epidemiological parameters, this review included 31 articles published between 2009 and 2019 that analysed the prevalence of CVD overall or a type of CVD in patients with T2DM in Spain [15, 16, 19, 20, 23–25, 28–35, 37, 42, 43, 45, 52, 54–57, 59–63, 65, 66], 20 articles that analysed incidence [15, 21–23, 27, 36, 38–41, 44, 46, 48–51, 53, 56, 58, 64], and 18 articles that analysed mortality [16, 18, 21, 22, 25, 27, 30, 31, 38–41, 44, 46, 56, 57, 60, 66].

Of the articles reporting epidemiology data, 20 included countrywide (national) data, 17 were regional (autonomous communities) and 11 were local (specific hospitals, cities, or districts). Catalonia was the region with the most studies (18 articles), followed by Madrid (five), Valencia (four), the Basque Country (two) and Asturias (one).

Five studies reported on HRU and/or costs associated with CVD in patients with T2DM [17, 26, 37, 40, 62].

Prevalence of CVD in Patients with T2DM

Table 2 summarizes the prevalence or frequency of CV comorbidities in the samples of patients with T2DM described in the articles. Seven studies analysed the overall prevalence of CVD at the national level [28, 34, 52, 54, 55, 59, 66]. A recent countrywide study analysed the prevalence of CVD in 619,188 patients with T2DM hospitalized in Spain in 2015 and is the largest study to date on this topic [66].

Table 2.

Prevalence/frequency of CVD reported in studies of patients with T2DM in Spain (2009–2019)

First author of article [citation number] (patient population analysed)	Patients with T2DM (N)	Male sex (%)	Age, years, mean (SD)	Disease duration, years, mean (SD)	HbA1c (%)	CVD (%)	CHD (%)	CVA (%)	PAD (%)	HF (%)
General population with T2DM
National
De Pablos [28]	601	48	68.3	12.4	7.3	–	16.7	9.15	6.2	–
González-Juanatey [34]	2444	56	65.2	–	–	–	37.0	12.0	13.0	–
Ortega [52]	312	55	61	7	–	17	11.3	3.5	4.2	–
Peña-Longobardo [54]	1905	45.4	67.9 (13.5)	–	–	24.5	–	–	–	–
Pérez [55]	5382	53	66.7 (10.8)	8.8 (6.3)	–	23	11.9	5.5	10.1	8.4
Rodríguez-Poncelas [59]	674	51.0	63.7 (11.0)	8.4 (6.4)	7.3 (1.3)	–	9.9	4.6	4.7	–
Zapatero-Gaviria [66]	619,188	56.8	73.2	–	–	40.8	9.4	10.3	9.1	20.1
Regional studies
Alonso-Morán [15] (Basque country)	149,015	53.96	≥ 35	–	–	–	11.45 M = 14.54 F = 7.83	6.96 M = 7.42 F = 6.42	2.5 M = 3.96 F = 0.97	4.32 M = 3.93 F = 4.79
Piniés [56] (Basque country)	777	52.8	63.5 (0.4)	–	6.6 (0.0)	14.5 M = 18.3 F = 10.4	8.8 M = 10.4 F = 7.1	4.4 M = 4.9 F = 3.8	4.0 M = 6.4 F = 1.4	–
Barrot-de la Puente [20] (Catalonia)	318,020	53.8	68.8 (11.9)	6.7 (6.2)	M = 7.2 (1.4) F = 7.2 (1.3)	6.9 M = 8.0 F = 5.7	12.5 M = 15.9 F = 8.6	5.9 M = 6.4 F = 5.3	4.0 M = 5.7 F = 2.0	5.5 M = 4.7 F = 6.6
Franch-Nadal [32] (Catalonia)	286,791	53.7	68.4	6.5	7.1 (1.4)	18.4 M = 22.3 F = 13.8	–	–	–	–
Jurado [37] (Catalonia)	307	61.6	59.6 (7.9)	8.5 (7.0)	7.0 (1.4)	21.9 M = 28.3 F = 17.6	18.9 M = 22.6 F = 14.8	–	4.5 M = 10.3 F = 2.2	–
Mata-Cases [42] (Catalonia)	373,185	54.9	70.3 (12.1)	8.7	7.1 (1.3)	23.2	–	–	–	6.9
Mata-Cases [43] (Catalonia)	126,811	53.5	67.6 (11.7)	6.2	7.1 (1.4)	–	12.7	7.5	4.6	5.7
Mata-Cases [45] (Catalonia)	487	47	60.37 (10.9)	–	7.1 (1.6)	16.0 M = 21.4 F = 11.2	4.7 M = 4.8 F = 4.7	3.7 M = 5.7 F = 1.9	2.5 M = 3.5 F = 1.6	–
Mundet [47] (Catalonia)	4298	48.2	67.4 (10.8)	–	7.03 (1.43)	16.1	5.6	12	–	–
Sicras Mainar [63] (Catalonia)	987	49.1	74.2 (6.2)	–	–	30.4	15.9	19.6	–	–
Vinagre [65] (Catalonia)	286,791	53.7	68.2 (11.4)	6.5 (5.1)	7.15 (1.5)	–	11.3 M = 14.3 F = 7.8	6.5 M = 7.1 F = 5.9	2.9 M = 4.2 F = 1.5	–
Arrieta [19] (Madrid)	3268	50.3	68.8 (10.9)	7.9 (7.4)	7.03 (1.27)	–	18.3	7.2	5.0	6.3
Salinero-Fort [60] (Madrid)	3407	50.3	69 (10.8)	9.1 (7.7)	7.1 (1.2)	25.4	12.7	8.3	7.3	6.9
Sáncho-Mestre [62] (Valencia)	350,015	51.9	67.4	–	–	14.45	–	–	–	–
Special T2DM populations (predetermined age range, additional comorbidities)
Carrasco-Sánchez [23] (hospitalized for HF)	490	44.3	76.6 (8.4)	–	–	–	27.8	14.3	16.5	79.8
Clua-Espuny [67] (complex chronic patients)	494	49.0	81.16 (8.0)	–	–	–	22.1	19.4	18.4	30.4
Ferrer [29] (age = 85 years)	85	37.6	85	5.8	6.4	–	11.8	14.0	7.06	15.3
Flores-Le Roux [30] (hospitalized for HF)	149	48	71.4 (7.7)	–	–	–	34	15	21	–
Formiga [31] (aged ≥ 75 years, hospitalized for acute HF)	240	37.9	82.4 (5)	–	–	–	28.8	19.2	–	–
Gámez [33] (women with CHD)	257	0	70.5 (10.7)	–	–	–	–	11.3	14.8	27.2
Gual [35] (age ≥ 80 years, with ACS)	212	61.3	83.7 (5)	–	–	–	42.0	17.5	14.2	27.4
Rodríguez-Poncelas [59] (renal function eGFR ≥ 60, UACR ≥ 30)	85	48.2	64.3 (10.2)	8.7 (6.3)	7.8 (1.5)	–	10.6	5.9	9.4	–
Rodríguez-Poncelas [59] (renal function eGFR < 60, UACR < 30)	311	81.7	72.4 (9.3)	9.6 (6.5)	7.1 (1.2)	–	21.9	9.3	10.6	–
Rodríguez-Poncelas [59] (renal function eGFR < 60, UACR ≥ 30)	69	73.9	74.1 (9.7)	12.6 (8.1)	7.5 (1.1)	–	27.5	10.1	26.1	–
Salinero-Fort [60] (chronic kidney disease)	3407	50.3	69 (10.8)	9.1 (7.7)	7.1 (1.2)	30.2	17.6	12.6	10.6	11.1
Salinero-Fort [61] (age ≥ 90 years)	11,645	26.9	92.9 (2.5)	–	6.8 (1.1)	30.9 M = 39.5 F = 27.8	15.0 M = 21.5 F = 12.6	16.1 M = 16.5 F = 16.0	4.0 M = 8.5 F = 2.3	14.7 M = 14.0 F = 14.9

eGFR Estimated glomerular filtration rate, F female, M male, UACR urine albumin-to-creatinine ratio; for other abbreviations, see footnote Table 1

The regional studies included in this systematic review analysed evaluated patients from Catalonia (nine studies), the Basque Country (two studies), Madrid (two studies) and Valencia (one study). Of these, the studies including the largest number of patients with T2DM were those from Catalonia (373,185 patients) [42], Valencia (350,015 patients) [62], the Basque Country (149,015 patients) [15] and Madrid (3407 patients) [19].

Considering studies of the general population with T2DM, the overall prevalence/frequency of CVD ranged from 6.9 to 40.8% in the 14 studies reporting this value (Table 2; Fig. 2). In these studies, the range of prevalence was 17.0–40.8% at the national level and 6.9–30.4% at the regional level.

Fig. 2.

Prevalence of CVD in patients with diabetes mellitus in national and regional studies published from 2009 to 2019. CVD Cardiovascular disease

Most studies detailed the type of CVD (Table 2). For the general diabetic population, prevalence was 4.7–37.0% for CHD (17 studies) [15, 19, 20, 28, 34, 37, 43, 45, 47, 52, 55, 56, 59, 60, 63, 65, 66]; 3.5–19.6% for CVA (stroke; 16 studies) [15, 19, 20, 28, 34, 43, 45, 47, 52, 55, 56, 59, 60, 63, 65, 66]; 2.5–13.0% for PAD (15 studies) [15, 19, 20, 28, 34, 37, 43, 45, 52, 55, 56, 59, 60, 65, 66]; and 4.3–20.1% for HF (eight studies) [15, 19, 20, 42, 43, 55, 60, 66].

Consistently, in the five studies that provided data on sex, men had a higher prevalence than women of CHD, CVA and PAD [15, 20, 37, 56, 65].

The literature review identified several studies that reported the prevalence of CVD or a type of CVD in patients with T2DM in special populations, such as those of a predetermined age range or with additional comorbidities (Table 2). These studies focused on elderly patients [29, 31, 35, 61], patients with HF [30, 31, 33, 35] and patients with kidney disease [59, 60]. Several studies reported age as one of the main risks for CVD in patients with T2DM. The prevalence of ischaemic heart disease, stroke and HF increased sharply with age in patients with T2DM [15]. Also, a large regional study in Catalonia showed that the prevalence of CVD was 32.3% in patients aged ≥ 75 years and about 10 points lower in the overall population [42]. Two studies analysed the prevalence of CVD specifically in patients aged 85 and ≥ 90 years, respectively [29, 61]: in one study, the prevalence of stroke was slightly higher among patients with T2DM aged 85 years (14.0%) than in studies of the general population [29]; in the other study, the prevalence of CHD and PAD among nonagenarians with diabetes in the community of Madrid was higher in males than in females (21.5 vs. 12.6% and 8.5 vs. 2.3%, respectively; both p < 0.01) [61]. However, the prevalence of stroke in the latter study was similar in both sexes (16.5 vs. 16.0%; p = 0.44) [61].

Two studies analysed the prevalence of CVD in patients with T2DM and kidney disease [59, 60]. The prevalence of CVD was high among patients with chronic kidney disease (30.2%) [60] and increased dramatically with worsening estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR) parameters. Decreases in eGFR and increases in UACR are independent risk factors that increase the prevalence of CVD. The authors of the other study [59] suggested that both parameters should be determined at the time of T2DM diagnosis to identify patients at increased risk of CVD. The conclusion drawn in both studies was that patients with chronic kidney disease had an increased risk of CV mortality compared with patients without kidney disease [59, 60]. A population-based study of comorbidities showed that the co-prevalence of chronic kidney disease and CVD among patients with T2DM was 19.3% [42].

Incidence of CV Events in Patients with T2DM

The incidence of CVD or a type of CVD in patients with T2DM was analysed in 20 studies (Table 1). Several studies used the Spanish National Hospital Discharge Database (Registro de Altas de los Hospitales del Sistema Nacional de Salud [CMBD]) and other national databases to analyse the incidence of a specific CVD associated with patients with T2DM. These studies reported data on the incidence of acute myocardial infarction [27, 39, 40], thoracic aortic aneurysm [27, 36], ischaemic stroke [27, 50], haemorrhagic stroke [49], HF [48] and acute lower limb ischaemia [27] among patients with T2DM. Table 3 shows the incidence of CVD reported in studies among patients with T2DM in Spain. Most studies reported the incidence as rate per 100,000 inhabitants, but other formats were also used, which meant comparisons between studies were difficult.

Table 3.

Incidence of CVD reported in studies of patients with T2DM in Spain (2009–2019)

First author [citation number] of article (patient population analysed)	Patients with T2DM (N)	Follow-up period	CVD	CHD and MI	CVA	AAD	ALLI	PAD	HF
National studies
de Miguel-Yanes [27]	130,011	2002	142.10a	63.69a	56.27a	2.03a	20.09a	–	–
		2006	153.60a	61.97a	69.53a	2.93a	19.16a
		2010	153.91a	55.86a	75.79a	3.30a	18.96a
		2014	145.13a	51.07a	71.98a	3.45a	18.64a
Jiménez-Trujillo [36]	10,491	2001–2003	–	–	–	(Thoracic) 12.65b	–	–	–
		2010–2012	–	–	–	23.92b	–	–	–
López-de-Andrés [38]	19,232	2003–2012	–	–	–	(Abdominal) 74.80c	–	–	–
López-de-Andrés [39]	155,676	2001–2010	–	M = 83.1c W = 50.1	–	–	–	–	–
López-de-Andrés [40]	90,835	2001–2006	–	M = 81.0c W = 50.2	–	–	–	–	–
Mostaza [46]	498	1 year	13.68d	Non-fatal ACS = 8.55d	Non-fatal stroke = 3.93d	–	–	–	–
Muñoz-Rivas [48]	553,775	2001–2015	–	–	–	–	–	–	1595.18c
Muñoz-Rivas [49]	33,230	2003–2012	–	–	(Haemorrhagic) M = 162.18c W = 115.52	–	–	–	–
Muñoz-Rivas [50]	130,858	2003–2012	–	–	(Ischaemic) M = 580.69c W = 508.87	–	–	–	–
Regional studies
Arrieta [18] (Madrid)	3268	2007–2010	–	6.2e	2.8e	–	–	3.0e	–
Alonso-Morán [15] (Basque Country)	134,421	9/2010–8/2011	–	M = 0.50e W = 0.29	–	–	–	–	–
Piniés [56] (Basque Country)	65,651	1998–2000	M = 40.0f W = 37.4	M = 20.0f W = 23.4	M = 15.6f W = 13.6	–	–	–	–
Cano [21] (Catalonia)	2260	10 years	4.4e	CHD = 13.1e Non–fatal MI = 5.6 Fatal MI = 7.1	1.1e	–	–	–	–
Mata-Cases [44] (Catalonia)	CHD, N = 428 AMI, N = 455 CVA, N = 442 PAD, N = 449	1991–2006	–	CHD = 13.02c AMI = 3.51	11.04c	–	–	8.51c	–

W women, M men, MI myocardial infarction; for other abbreviations, see footnote Table 1

Data are shown as:

^aAge-adjusted rate per 100,000 inhabitants

^bCumulative rate per 100,000 inhabitants

^cRate per 100,000 inhabitants

^dRate per 1000 person-months

^ePercentage (%)

^fRate per 1000 person-years

The study with the most consistent and comprehensive data across all macrovascular comorbidities was that of de Miguel-Yanes et al. [27], which used data from the Spanish National Hospital Discharge Database. It also provided a time series for age-adjusted incidence from 2002 to 2014. For 2014, the most recent datapoint, this study reported an age-adjusted incidence of 145.13 per 100,000 inhabitants for all CVD combined [27].

De Miguel-Yanes et al. [27] reported a trend of increasing incidence of stroke from 2002 to 2014 (56.27–71.98 per 100,000 inhabitants), whereas the incidence of CHD remained stable or declined slightly (63.69–51.07 per 100,000 inhabitants in that period) [27]. The regional studies by Mata Cases et al. [44] in Catalonia and Piniés et al. [56] in the Basque Country, for the periods 1991–2006 and 1998–2000, respectively, showed that the incidence of CHD was higher than that of stroke about two decades ago.

Recurrence of CV Events in Patients with T2DM with Established CVD

Information on the occurrence of subsequent CV events in patients with T2DM was specifically mentioned in 7 of the 20 studies reporting incidence [22, 23, 30, 31, 33, 35, 60].

Camafort et al. [22] analysed the incidence of recurrent ischaemic events in a countrywide sample of 974 patients with T2DM prospectively enrolled in a registry of symptomatic artery disease. Over a mean follow-up of 14 months, 13% of the patients had a second ischaemic event. In patients with HbA1c levels > 7%, the incidence rate was 4.4 (range 2.9–6.4) per 100 patient-years for myocardial infarction, 2.6 (1.5–4.2) for acute ischemic stroke, and 6.7 (4.8–9.1) for critical limb ischaemia. Overall, the incidence rate of subsequent ischaemic events was 14 (11–17) per 100 patient-years [22]. This study concluded that for patients with coronary artery disease and HbA1c levels < 7.0%, the incidence of subsequent ischaemic events was significantly reduced compared with patients with HbA1c levels > 7.0%.

Salinero-Fort et al. [60] detailed the number of CV events in patients with T2DM from Madrid primary health care centres: 74.6% were free of CVD, 17.8% had one CV event, 6.8% had two CV events, and 1.3% had more than two CV events. Three studies reported previous CVD associated with patients with T2DM hospitalized for HF [23, 30, 31]. In patients with T2DM hospitalized for HF, 34% had previous CHD, 15% had stroke, and 21% had PAD [30]. A second study in the same population showed that 79.8% had a previous episode of HF and 27.8% an episode of myocardial infarction [23].

Two studies studied subsequent CV events in elderly patients with T2DM [31, 35]. A study of 240 patients aged ≥ 75 years first admitted for acute HF reported that 28.8% had a previous diagnosis of CHD and 19.2% had a previous stroke [31]. Gual et al. [35] studied cases of acute coronary syndrome in patients aged ≥ 80 years and found that a large proportion of patients had previous comorbid CVDs.

Mortality for CVD in Patients with T2DM

Mortality associated with CVD in patients with T2DM in Spain was analysed in 18 studies (Table 1). All used hospital registry data, and six of the seven studies at the national level reported data for CV-related mortality in patients with T2DM from the Spanish National Hospital Discharge Database [27, 38–40, 46, 48, 66]. Therefore, all of these studies presented data from hospitalized patients with T2DM.

Six studies analysed CV-related mortality in patients with T2DM in regional or local settings [16, 30, 31, 44, 57, 60]. For these studies, the data sources were more diverse, with three population-based studies [16, 57, 60], two studies based on hospital admissions [30, 31] and one study based on data from primary healthcare centres [44].

Table 4 shows the mortality rates obtained in 13 of the 18 studies analysing mortality (data from the remaining five studies were not tabulated as they only reported hazard ratios or mortality in a subpopulation). Mortality ranged from 5.6% [46] to 10.8% [27]. A recent study found that CVD-related in-hospital mortality in patients with T2DM declined significantly in the years analysed (2002–2014) [27]. However, multivariate analysis showed that, compared with matched controls without diabetes, patients with T2DM had a 15, 6 and 6% higher mortality when admitted for myocardial infarction, CVA and CVD, respectively [27].

Table 4.

Mortality due to CVD of patients with T2DM in Spain (2009–2019)

First author [citation number] of article (patient population analysed)	Patients with T2DM (N)	Follow-up period	CVD	CHD and MI	CVA	AAD	ALLI	PAD	HF
National studies
De Miguel-Yanes [27]	130,011	2002	13.04a	13.67a	14.97a	14.36a	5.53a	–	–
		2006	12.41a	10.83	15.49a	12.52a	6.34a	–	–
		2010	11.78a	9.49 a	14.94a	10.89a	6.04a	–	–
		2014	10.77a	7.95a	14.27a	8.09a	5.47a	–	–
López-de-Andrés [38]	19,232	2012–2013	–	–	–	(Abdominal) 9.37a	–	–	–
López-de-Andrés [39]	155,676	2001–2010	–	M = 9.4a W = 14.9	–	–	–	–	–
López-de-Andrés [40]	90,835	2001–2006	–	M = 10.1a W = 15.9	–	–	–	–	–
Mostaza [46]	498	1 year	5.6a	–	–	–	–	–	–
Muñoz-Rivas [48]	553,775	2001–2015	–	–	–	–	–	–	8.35a
Zapatero-Gaviria [66]	619,188	2015	6.8a	–	–	–	–	–	–
Regional studies
Cano [21] (Catalonia)	2260	10 year	4.4a	1.8a	1.1a	–	–	–	–
Formiga [31] (Catalonia, patients aged ≥ 75 years)	240	1 year	–	–	–	–	–	–	5.0a
Mata-Cases [44] (Catalonia)	469	–	19.23b	–	–	–	–	–	–
Piniés [56] (Basque Country)	65,651	1998–2000	M = 10.6b W = 13.0	–	–	–	–	–	–
Ramírez-Prado [57] (Valencia)	112	2010–2014	19.6a	–	–	–	–	–	–
Salinero-Fort [60] (Madrid)	3443	2008–2012	13.7b

All data refer to in-hospital mortality, with the exception of data from Cano et al. [21] (Catalonia) and Salinero-Fort et al. [60] (Madrid)

W women, M men, MI myocardial infarction; for other abbreviations, see footnote Table 1

Data are shown as:

^aPercentage (%)

^bRate per 1000 patients/year

Costs Associated with CVD in Patients with T2DM

Five studies analysed the costs of CV complications in patients with T2DM (Table 1). All studies identified in this review reported only direct costs from CV comorbidity in patients with T2DM.

Two studies analysed economic costs at the national level [26, 40], and three analysed costs at the regional level in Madrid [17], Catalonia [43], and Valencia [62]. Costs reported in these studies referred to the years 2006–2012.

Table 5 shows data from the five studies included in this review. Mata-Cases et al. [43] estimated the annual cost per patient with T2DM as €3110 (year 2011 values), but the presence of CVD increased costs to €4814. The largest increase in costs was generated by HF, which reached €6866 per year in patients with T2DM, followed by PAD (€5858), CHD (€5006), and stroke (€4720) [43]. A study of the costs of complications of T2DM in Madrid found a mean overall cost of €4121, of which two-thirds was due to macrovascular complications (especially heart revascularization and acute myocardial infarction) [17].

Table 5.

Studies analysing HRU and costs associated with CVD in adults with T2DM in Spain (2009–2019)

First author of article [citation number] (national or regional)	Year for cost calculation	Patients with T2DM (N)	CVD	CHD	AMI	CVA	PAD	HF
Crespo [26] (National)	2012	544,515	–	5587a,b	–	5319a,b	6875a,b	–
López-de-Andrés [40] (National)	2006	90,835	–	–	6228b,c	–	–	–
Arrieta [17] (Madrid)	2012	3268	2726.50a	–	–	–	–	–
Sancho-Mestre [62] (Valencia)	2012	350,015	1441a,d	–	–	–	–	–
Mata-Cases [43] (Catalonia)	2011	126,811	4815c	5006c	–	4720c	5858c	6866c

For abbreviations, see footnote Table 1

All costs are expressed in euros

^aMean cost per episode per patient

^bHospitalization costs

^cTotal cost per patient and year

^dPharmaceutical costs

None of these studies analysed CVD cost components comprehensively, as some studies only evaluated hospitalization costs [26, 40] and others only medication costs [62]. Generally, costs were driven mainly by hospitalizations and medications, and CVD caused an increase in both components [43].

Discussion

In this systematic review we evaluated the epidemiology and costs of CVD associated with T2DM in Spain reported in studies published between 2009 and 2019. To the best of our knowledge, this is the first systematic review of studies of epidemiology and costs in this patient group in Spain. The overall prevalence of CVD in Spain in this period ranged from 7 to 41%. This range is consistent with the global prevalence of 32.2% found in a systematic literature review of articles from across the world in approximately the same period (2007–2017) [1]. However, despite the relatively large number of studies included, the diversity of methodologies, populations analysed and data reporting made it difficult to reach quantitative conclusions, as discussed in the following text.

Current guidelines highlight the importance of early prevention to reduce the risks of CVD in patients with T2DM [5, 67]. It has been estimated that patients with T2DM have a two- to fourfold higher risk of developing CVD and that this increased risk correlates directly with the number and control of CV risk factors, including the level of glycaemic control [68, 69]. For this reason, the expanded use of therapies to reduce CVD risk in the T2DM population prior to the development of CVD has been advocated [70]. Generally, CVD risk management in patients with T2DM has focused on the use of aspirin and the control of blood pressure, cholesterol and glycaemia. Although most benefit is obtained when multiple CVD risk factors are addressed simultaneously, the greatest absolute risk reduction, especially for microvascular complications, is derived from improving glycaemic control [5]. In this regard, some antidiabetic drugs with proven CV benefit, such as the SLGT2i and the GLP-1 RAs, are recommended for the prevention of CV events in patients with established CVD or at high CV risk [6]. The strongest evidence to date is with GLP-1 RAs, specifically dulaglutide, for which an added benefit in early primary prevention has been reported [6, 71].

Although preventing the recurrence of CV events in patients with T2DM is a major objective in those with established CVD, epidemiological data related to this topic are limited. We identified seven studies with relevant data on recurrence of CVD in patients with T2DM in Spain. Two independent studies agreed that patients with T2DM hospitalized for HF had a high prevalence (> 70%) of established CVD [23, 30]. Camafort et al. [22] found that patients with T2DM with CHD and glycated haemoglobin (HbA1c) levels < 7.0% had a lower incidence of subsequent ischaemic events and lower mortality rates than those with HbA1c levels > 7.0%, highlighting the importance of glycaemic control [22]. However, these authors reported no difference in HbA1c levels for patients with CVA or PAD. Factors independently associated with a lower risk for recurrent events were lower age (< 70 years), mean HbA1c levels < 7%, creatinine clearance levels > 60 ml/min and the use of statins [22]. Studies in other countries have also found that recurrent CV events were associated with higher HbA1c levels [72, 73], suggesting that some groups of patients with CVD could benefit from more intensive glycaemic control. Along these lines, the Steno-2 randomized trial showed that intensive, multifactorial management of hyperglycaemia, hypercholesterolaemia, and hypertension, together with antiplatelet therapy, could lead to significant reductions in CVD and mortality rates in the T2DM population, with a mean increase in life expectancy of 7.9 years after a follow-up period of 21 years [74].

CVD is a major risk factor for patients with T2DM and has been associated with increased mortality rates compared with patients with T2DM without CVD. In a review compiling data from across the world, CVD was found to be responsible for 50.3% of all deaths of patients with T2DM, with CHD and stroke being the major contributors [1]. A study in a UK population found myocardial infarction to be the leading cause of death among those with T2DM [75]. The studies included in our review suggest that the current in-hospital mortality rate in Spain could range between 6 and 11%, which is consistent with the rate of 9.9% found in the Einarson et al. review [1]. However, CVD-related mortality in the T2DM population in the USA and Europe has been declining in the last few decades [76, 77]. This trend is consistent with the data series for Spain described by de Miguel-Yanes et al. [27], which showed a progressive decrease of in-hospital mortality by CVD in patients with T2DM from 2002 to 2014 [27].

Interestingly, Muñoz-Rivas et al. [48] found that in-hospital mortality in patients due to HF was lower in patients with T2DM than in those without T2DM, a result distinct from other results reported in the literature [78]. Also, in three studies reporting data on the association between sex and in-hospital mortality, women had higher in-hospital mortality than men [38, 39, 56].

In this systematic literature review, a few articles included data on HRU and cost-related variables related to CVD in patients with T2DM in Spain. A study of patients with T2DM in the USA found that CVD dramatically increased costs by 70–150% [79], and a recent review of costs in multiple countries found that the median annual costs per patient for CVD, coronary artery disease, HF and stroke were, respectively, 112, 107, 59 and 322% higher than in those for patients with T2DM without CVD [12].

For Spain, the most complete study, by Mata-Cases et al. [43] in Catalonia, found that CVD increased direct costs for patients with T2DM by 58% compared with patients with T2DM with no CVD, and other studies have also emphasized the very high increases (> 50%) in associated costs [17]. To date, no studies have evaluated the indirect costs of CVD in a T2DM population. A review of studies of T2DM-related costs estimated that the total direct costs of macrovascular complications in Spain in 2009 were €757.74 million, of which 44.1% were for inpatient care (hospitalization), 34.8% were for pharmaceuticals and 21.1% were for outpatient care [80]. A review by the Health Technologies Assessment Agency of Spain confirmed that the major components of the costs of T2DM were hospitalization (10–67%) and costs of medication for T2DM complications (14–33%) [81], results also reported by the previously mentioned Mata-Cases et al. study in Catalonia [43]. Further, a recent study demonstrated that the length of hospital stay was longer for patients with T2DM, compared with patients without diabetes, for non-fatal acute myocardial infarction and unstable angina, resulting in higher hospitalization costs [82].

Given the high costs of macrovascular complications in T2DM in Spain, and considering the high risk of CVD development, early prevention seems critical. The early use of pharmacological therapies in T2DM that have shown CVD benefit could directly and positively mitigate the high medical costs of treating diabetes complications later on [6].

Limitations

The wide heterogeneity of the included studies was a major obstacle to pooling data and defining more precise epidemiological outcomes. A main source of variation and possible bias was the epidemiological data sources used. A large number of studies reported data from hospital discharge databases, but others relied on surveys from primary healthcare centres and other sources. Although CVDs are serious and usually require patient hospitalization at some point in their lifetime, hospital discharge data could represent a population that is in worse medical condition and therefore not representative of the general T2DM population. In turn, this could lead to an overestimation of the prevalence of CVD in patients with T2DM. Additionally, some studies included only predefined populations that could be biased with respect to the general T2DM population, such as patients with newly diagnosed T2DM [24] or patients admitted to only a specific unit in the hospital [30].

A second major source of variation was the range of definitions used to assess CVD (ESM Table S1). Although most studies used the World Health Organization ICD to identify types of CVD, some articles did not specify the codes included, others included wide ranges of the classification (e.g., all ICD-9 codes from I00 to I99) and still others were highly restrictive in the specific pathologies included. As such, for some articles it was not possible to determine whether global CVD outcomes included or excluded microvascular diabetes complications (diabetes retinopathy, nephropathy or neuropathy). Also, it is possible that studies with data from primary healthcare centres included microvascular diabetes complications. Although the impact of microvascular comorbidities can be lower than that of macrovascular comorbidities, they are more prevalent, and their inclusion in studies could therefore affect the statistics.

The large hospital databases in Spain, notably the National Hospital Discharge Database (Registro de Atención Especializada-Conjunto Mínimo Básico de Datos [RAE-CMBD]), have been the basis for numerous epidemiological studies at the national level. Regional databases are also available for some autonomous communities and have served as the source of data for those territories. The Catalonia region had the largest number of studies (N = 18), but most of the Spanish autonomous communities had no studies conducted in their territories. This could have caused some degree of bias towards certain areas of the country, as significant differences in the epidemiology of T2DM and CVD have previously been found between autonomous communities [83, 84].

Another source of variation was the time period considered. Although we restricted study publication to the years 2009–2019 (inclusive), data were collected from the years 1991–2016. This could notably bias results, as some incidence studies with long follow-up periods observed increasing or decreasing trends for some conditions [27]. Finally, a lack of uniformity in reporting data, such as the units used to describe incidence, made it difficult to compare the results of some studies.

Conclusions

This systematic review evaluated the epidemiology and costs of CVD in adults with T2DM in Spain from studies published between January 2009 and December 2019. The results indicate that 7–41% of patients with T2DM also have CVD, with CHD the most prevalent CVD. In this regard, some studies suggest a decline of in-hospital mortality over time, as observed in other Western countries, although CVD remains the leading cause of mortality among patients with T2DM. CVD causes major increases in costs compared with patients with T2DM without CVD. Given the major impact of chronic diseases such as T2DM on the healthcare system, further studies should be carried out to update the direct economic costs and evaluate the indirect costs associated with T2DM comorbidities. Our results highlight the importance of early prevention of CVD in patients with T2DM as part of integrated management of the disease to improve clinical and economic outcomes.

Supplementary Information

Below is the link to the electronic supplementary material.