Abstract
Objective
Patients with SLE have increased risk of myocardial infarction (MI). Few studies have investigated the characteristics of SLE-related MIs. We compared characteristics of and risk factors for MI between SLE patients with MI (MI-SLE), MI patients without SLE (MI-non-SLE) and SLE patients without MI (non-MI-SLE) to understand underlying mechanisms.
Methods
We identified patients with a first-time MI in the Karolinska SLE cohort. These patients were individually matched for age and gender with MI-non-SLE and non-MI-SLE controls in a ratio of 1:1:1. Retrospective medical file review was performed. Paired statistics were used as appropriate.
Results
Thirty-four MI-SLE patients (88% females) with a median age of 61 years were included. These patients had increased number of coronary arteries involved (p=0.04), and ≥50% coronary atherosclerosis/occlusion was numerically more common compared with MI-non-SLE controls (88% vs 66%; p=0.07). The left anterior descending artery was most commonly involved (73% vs 59%; p=0.11) and decreased (<50%) left ventricular ejection fraction occurred with similar frequency in MI-SLE and MI-non-SLE patients (45% vs 36%; p=0.79). Cardiovascular disease (44%, 5.9%, 12%; p<0.001) and coronary artery disease (32%, 2.9%, 0%; p<0.001), excluding MI, preceded MI/inclusion more commonly in MI-SLE than in MI-non-SLE and non-MI-SLE patients, respectively. MI-SLE patients had lower plasma albumin levels than non-MI-SLE patients (35 (29–37) vs 40 (37–42) g/L; p=0.002).
Conclusion
In the great majority of cases, MIs in SLE are associated with coronary atherosclerosis. Furthermore, MIs in SLE are commonly preceded by symptomatic vascular disease, calling for attentive surveillance of cardiovascular disease and its risk factors and early atheroprotective treatment.
Keywords: systemic lupus erythematosus, antiphospholipid syndrome, atherosclerosis, cardiovascular disease, inflammation
Key messages.
What is already known about this subject?
Myocardial infarction (MI) is two to three times more common in patients with SLE as compared with age- and gender-matched community controls. Standardised incidence ratios for MI are even higher among younger patients with SLE.
Subclinical atherosclerosis has been reported in many case–control studies, but a direct causal relationship between coronary artery disease (CAD) and MI in SLE has not yet been well documented.
What does this study add?
In a majority (88%) of first-time MI-SLE cases, MIs were classified as MI with significant coronary artery disease.
Symptomatic coronary artery disease preceded MI more commonly, and the number of involved coronary arteries was higher in patients with SLE compared with controls.
How might this impact on clinical practice or future developments?
Early atheroprotective treatment and attentive surveillance for cardiovascular disease/CAD and associated risk factors are warranted in patients with SLE.
Introduction
SLE is an autoimmune disease with heterogeneous presentation and a high female predominance (90%).1 Cardiovascular disease (CVD), usually defined as a combination of coronary, cerebrovascular and/or peripheral arterial disease, is a major cause of morbidity and premature mortality in SLE.2–5 Among the circulatory causes of death, ischaemic heart disease stands out as the major contributor.3–5 Overall, the incidence of myocardial infarction (MI) is estimated to be twofold to threefold elevated in SLE as compared with gender- and age-matched controls.6 7 Note that this figure is considerably higher in the younger age groups.8 9
Both traditional and lupus specific cardiovascular risk factors are believed to contribute to the high risk for MI. Renal involvement in patients with SLE has been associated with increased subclinical atherosclerosis10 and ischaemic heart disease.11–13 Fifteen to twenty per cent of SLE patients fulfil the criteria for antiphospholipid syndrome (APS),14 defined by venous, arterial or small vessel thrombosis and/or obstetric complications together with persistent positivity for antiphospholipid antibodies (aPL).15 Venous thromboembolism (VTE) and aPL have been associated with CVD in SLE9 16–20 similarly to high daily intake of glucocorticoids17 and low plasma albumin levels.16 Note that these four risk factors remain to be verified specifically for MI in SLE.
Though several risk factors have been suggested, the exact mechanisms behind the high MI incidence in SLE remain essentially unknown. Coronary atherosclerosis is often assumed to be the cause of MIs, since high rates of subclinical atherosclerosis have been reported in patients with SLE.21–26 Yet, few studies have directly investigated the extent of coronary atherosclerosis at the time of the MI events.27
In this case control study, we compare MI subtypes between patients with or without SLE, in order to determine if coronary atherosclerosis contributes to SLE-associated MIs to the same extent as to MIs in community controls. In addition, we identify risk factors using MI, rather than the broader CVD, as outcome.
Materials and methods
Patients and controls
Patients with SLE were recruited between January 1995 and December 2017 through use of the Karolinska SLE cohort,28 which includes patients from the Karolinska University Hospital and Danderyd Hospital in Stockholm, Sweden. Patients aged 20–85 years with SLE according to the revised 1982 American College of Rheumatology SLE classification criteria29 and a first-time MI according to the Third Universal Definition of MI30 were included.
We used the national Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART) registry31 and the Swedish Myocardial Infarction Registry (Riks-HIA), which is a subregistry of SWEDEHEART, to identify patients with a first-time MI but not SLE (MI-non-SLE) as comparators. The SWEDEHEART registry covers approximately 85% of Swedish patients with MI. Riks-HIA contains clinical data related to hospitalisations due to acute coronary syndrome.31
MI-SLE patients were individually matched for (1) gender, (2) age and (3) date of MI event to MI-non-SLE patients in a ratio of 1:1. Using similar matching, we identified a second set of controls with SLE but no history of MI (non-MI-SLE) from the Karolinska SLE cohort.28 In this manner, triplets were created, each including one MI-SLE patient, one MI-non-SLE patient and one non-MI-SLE patient in a ratio of 1:1:1. Patients and controls were all living in Stockholm county. We did not match for different regions within Stockholm.
Definition of events and risk factors
Data were collected through retrospective medical file review in all patients with MI type 1–3 according to Thygesen et al.30 See table 1 for detailed descriptions of the chosen variables. Supportive medical files including laboratory tests, renal biopsies, imaging, electrophysiological examinations or appropriate treatment were required in order to classify patients as being diseased. Data regarding serum/plasma creatinine and albumin levels were collected from medical files when available within 3 months before study entry. Estimated glomerular filtration rate (eGFR) was calculated using the re-expressed four-variable Modification of Diet in Renal Disease (MDRD) study equation according to Levey et al.32 Diabetes and SLE renal involvement was defined according to guidelines from the American Diabetes Association33 or Tan et al,29 respectively.
Table 1.
Detailed description of variables
Description and comments | Diagnostics | Treatment | |
ST-elevation MI (STEMI) | As by medical file review. In patients with pacemaker and/or ECG findings of ventricular rhythm, preexcitation or left bundle branch block, data were considered missing, as data from previous ECGs were not available in most cases. | ECG. | N/A |
Non-STEMI | As above. | ECG. | N/A |
MI with coronary artery disease (MI-CAD) | ≥50% coronary stenosis/occlusion at the event of MI according to Agewall et al.45 | Coronary angiography. | N/A |
0-vessel disease (0-VD) | <50% coronary stenosis and/or occlusion at the event of MI according to Agewall et al45 Also referred to as MI with non-obstructive coronary arteries (MINOCA). | Coronary angiography. | N/A |
Number of involved coronary arteries | Numbered 0-VD to 3-VD depending on how many out of LAD, RCA and/or Cx that had ≥50% coronary stenosis/occlusion. LMCA was classified as 2-VD, as it most commonly branches to LAD and Cx. | Coronary angiography. | N/A |
Involvement of specific coronary arteries | ≥50% coronary stenosis/occlusion in LMCA, LAD, RCA, Cx and/or any of their respective branches. | Coronary angiography. | N/A |
Left ventricular ejection fraction | As by medical file review. | Echocardiography. | N/A |
Coronary artery disease (CAD) | Stable CAD or unstable angina were not separated. MI was not considered. | Coronary angiography. | Antiplatelet agents or nitroglycerin prescription, CABG or PCI. |
Ischaemic stroke | Haemorrhagic stroke was not considered. | CT or MRI. | Antiplatelet agents or thrombolytic therapy. |
Peripheral arterial diseases (PADs) | All types of PAD were considered. | CT, DUS, invasive angiography and toe pressure, | Antiplatelet agents, PTA or surgery including bypass grafting. |
Cardiovascular disease (CVD) | Stable CAD, unstable angina, ischaemic stroke or PADs. | As stated above. | As above. |
Venous thromboembolism (VTE) | All types of venous thrombosis including pulmonary embolism were considered as VTE. | CT, DUS, MRI or phlebography depending on VTE location. | LMWH, OAC prescription, unfractioned heparin. |
Antiphospholipid syndrome | Clinical manifestations of thrombosis, that is, stroke and/or VTE, and/or obstetric complications according to Miyakis et al,15 with the modification that we only required aPL-positivity on one occasion, as many patients lacked repeated measurements. | See ischaemic stroke and/or VTE for specifics on these variables. | See ischaemic stroke and/or VTE for specifics on these variables. |
Diabetes | Diabetes types 1 and 2 were not separated. | Fasting plasma glucose ≥126 mg/dL (7.0 mmol/L), 2-hour plasma glucose ≥200 mg/dL (11.1 mmol/L) during oral glucose tolerance testing, HbA1c ≥6.5% (48 mmol/mol) and/or a random plasma glucose ≥200 mg/dL (11.1 mmol/L) in patients with classic symptoms of hyperglycaemic according to American Diabetes Association in 2018.33 | Insulin or other antidiabetic agents. |
Renal involvement | As by medical file review. | Renal biopsy, proteinuria and/or cellular cast according to Tan et al.29 | Cyclophosphamide, mycophenolate mofetil or azathioprine treatment. Dialysis or kidney transplantation. |
CABG, coronary bypass grafting; DUS, duplex ultrasound; LAD, left anterior descending artery; LMCA, left main coronary artery; LMWH, low molecular weight heparin; N/A, not applicable; OAC, oral anticoagulants; PCI, percutaneous coronary intervention; PTA, percutaneous transluminal angioplasty; RCA, right coronary artery; 0-VD to 3-VD, 0 to 3-vessel disease.
Statistical analysis
Median and IQR were used to describe continuous variables. For comparison between matched pairs, the McNemar’s and the Wilcoxon signed-rank tests were used for binominal or ordinal and continuous data, respectively. When analysing triplets, the Cochran’s Q test and the Friedman’s test were used for binominal or ordinal and continuous data, respectively. Statistical analysis was performed using the IBM SPSS Statistics software, V.25 (IBM Corporation). P values <0.05 were considered statistically significant.
Ethics
Written informed consent was obtained from all patients in the Karolinska SLE cohort. In order to enable nationwide coverage, participants in the population-based Riks-HIA registry are informed about their inclusion and their possibility to opt-out. They are also informed that information in the registry may be used in studies approved by ethical committees.
Patient and public involvement
Neither members of the public nor patients with SLE were involved in the design or conduction of this study.
Results
Baseline characteristics
We identified 34 SLE patients with type 1–3 MI according to Thygesen et al.30 These 34 patients were matched to controls and further studied. Median age at study entry and female prevalence were equal between the matched MI-SLE, MI-non-SLE and non-MI-SLE patients, that is, 61 years or 88%, respectively. Median age at SLE onset was 36 (22–47) years and 42 (27–53) years in MI-SLE or non-MI-SLE patients, respectively (p=0.08). Baseline characteristics are presented in table 2.
Table 2.
Baseline characteristics and risk factors for myocardial infarction (MI) in patients with and without SLE (for detailed descriptions of variables see table 1)
MI-SLE | MI-non-SLE | Non-MI-SLE | P value* | Post hoc analysis* | |
N=34 | N=34 | N=34 | |||
Women, n (%) | 30 (88) | 30 (88) | 30 (88) | ||
Age, median (IQR) years | 61 (49–68) | 61 (49–69) | 61 (49–68) | ||
Age at SLE onset, median (IQR) years | 36 (22–47) | 42 (27–53) | 0.08 | ||
CVD and VTE combined, n (%) | 4 (12) | 0 (0) | 1 (2.9) | 0.07 | |
Venous thromboembolism (VTE), n (%) | 9 (26) | 0 (0) | 5 (15) | 0.004 | P=0.29†† |
Cardiovascular disease (CVD, MI excluded), n (%) | 15 (44) | 2 (5.9) | 4 (12) | <0.001 | P=0.007†† |
Coronary artery disease (MI excluded), n (%) | 11 (32) | 1 (2.9) | 0 (0) | <0.001 | P=0.002‡‡ |
Ischaemic stroke, n (%) | 6 (18) | 1 (2.9) | 2 (5.9) | 0.10 | |
Peripheral arterial diseases, n (%) | 6 (18) | 2 (5.9) | 2 (5.9) | 0.17 | |
Diabetes, n (%) | 4 (12) | 3 (8.8) | 0 (0) | 0.16 | |
Antiphospholipid syndrome, n (%) | 7 (21) | 0 (0) | 4 (12) | 0.04 | P=0.55†† |
Smoking status, n (%) | |||||
- Never smoker | 6 (18) | 15 (44) | 12 (35) | ||
- Previous smoker | 18 (53) | 8 (24) | 18 (53) | 0.18 | P=0.34§§ |
- Current smoker | 8 (24) | 11 (32) | 4 (12) | §§ | |
- Missing | 2 (5.9) | 0 (0.0) | 0 (0.0) | ||
Prednisolone equivalents, median (IQR) mg/24 hours | 5.0 (0.0–7.5) | 0.0 (0.0–0.0) | 2.5 (0.0–7.5) | <0.001† | P=0.97†† |
Hydroxychloroquine at MI/inclusion, n (%) | 7 (23) | 18 (53) | 0.06‡ | ||
Low-dose acetylsalicylic acid at MI/inclusion, n (%) | 11 (36) | 3 (10) | 0.04§ | ||
Creatinine, median (IQR) mmol/L | 81 (68–100) | 70 (59–79) | 72 (58–88) | 0.09¶ | |
Creatinine-based eGFR, median (IQR) mL/min/1.73 m2 | 67 (48–77) | 79 (67–92) | 72 (60–106) | 0.08¶ | |
Current/previous renal involvement, n (%) | 15 (44) | 11 (32) | 0.42 | ||
Albumin levels in blood, median (IQR) g/L | 35 (29–37) | 40 (37–42) | 0.002** |
*P values are derived from comparing matched triplets using the Cochran’s Q and the Friedman’s test for binominal or ordinal and continuous data, respectively. For comparison between matched pairs, the McNemar’s and the Wilcoxon signed-rank tests were used for binominal and continuous data, respectively.
†Data were available in 34/34 MI-SLE, 33/34 MI-non-SLE and 34/34 non-MI-SLE patients.
‡Data were available in 31/34 MI-SLE and 34/34 non-MI-SLE patients.
§Data were available in 31/34 and 31/34 non-MI-SLE patients.
¶Data were available in 32/34 MI-SLE, 28/34 MI-non-SLE and 34/34 non-MI-SLE patients.
**Data were available in 16/34 MI-SLE and 34/34 non-MI-SLE patients.
††A post hoc comparison between MI-SLE and non-MI-SLE.
‡‡A post hoc comparison between MI-SLE and MI-non-SLE.
§§A post hoc comparison between the frequency of currently smoking MI-SLE patients and the frequency of currently smoking non-MI-SLE patients.
CAD, coronary artery disease (MI excluded); CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; PADs, peripheral arterial diseases; VTE, venous thromboembolism.
Traditional risk factors
Neither smoking status (table 2; p=0.18) nor diabetes (12%, 8.8%, 0%; p=0.16) differed significantly between MI-SLE, MI-non-SLE or non-MI-SLE patients, respectively. Traditional risk factors are presented in table 2.
Lupus specific risk factors
Low plasma albumin levels distinguished MI-SLE patients from non-MI-SLE patients (35 vs 40 g/L; p=0.002). Both plasma creatinine (81, 70 and 72 mmol/L; p=0.09) and creatinine-based eGFR (67, 79 and 72 mL/min/1.73 m2; p=0.08) indicated a non-significant trend towards impaired renal function in MI-SLE as compared with MI-non-SLE and non-MI-SLE patients. However, the prevalence of current/previous renal involvement did not differ significantly between MI-SLE patients and non-MI-SLE patients (44% vs 32%; p=0.42). Previous VTE and APS did not distinguish MI-SLE patients from controls, as neither VTE (26% vs 15%; p=0.29) nor APS (21% vs 12%; p=0.55) differed significantly between MI-SLE and non-MI-SLE patients. Lupus specific risk factors are presented in table 2.
Medications
Twenty-three per cent of MI-SLE patients and 53% of non-MI-SLE controls were prescribed hydroxychloroquine (HCQ) at MI or study entry, respectively (p=0.06). Thirty-six per cent of MI-SLE patients and 10% of non-MI-SLE controls were prescribed low-dose acetylsalicylic acid (ldASA) at MI or study entry, respectively (p=0.04). Median daily intake of prednisolone equivalents at hospital admission did not distinguish MI-SLE patients from non-MI-SLE controls (5 vs 2.5 mg; p=0.97). Medications are presented in table 2.
History of cardiovascular diseases
Symptomatic CVD, defined as either CAD (MI excluded), ischaemic stroke or peripheral arterial diseases (PADs), preceded the MI event/inclusion more commonly in MI-SLE patients compared with MI-non-SLE and non-MI-SLE patients (44%, 5.9% or 12%; p<0.001). When stratifying for subtypes of CVD, only CAD was significantly more common in MI-SLE patients compared with MI-non-SLE and non-MI-SLE patients: CAD (32%, 2.9% and 0%; p<0.001), ischaemic stroke (18%, 2.9% and 5.9%; p=0.10) and PADs (18%, 5.9% and 5.9%; p=0.17), respectively.
MI characteristics
In types 1–3 MIs, frequency of ST-elevation MI (STEMI) was similar between MI-SLE patients and MI-non-SLE patients (28% vs 34%; p=1.0). MI with coronary artery disease (MI-CAD), that is, ≥50% coronary stenosis/occlusion at the event of MI, was present in 88% and 66% of MI-SLE patients or MI-non-SLE patients, respectively (p=0.07). MI-SLE patients had a higher number of coronary arteries involved at MI compared with controls (table 3; p=0.04). The left anterior descending artery (LAD) was most frequently involved in both MI-SLE and MI-non-SLE patients (73% vs 59%; p=0.11) followed by the right coronary artery (27% vs 31%; p=0.75) and the circumflex artery (Cx) (23% vs 21%; p=1.0). The frequency of impaired left ventricular ejection fraction (LVEF), that is, <50%, after MI did not differ significantly between MI-SLE and MI-non-SLE patients (45% vs 36%; p=0.79). MI characteristics are presented in table 3.
Table 3.
Findings according to ECG, coronary angiography and echocardiography in MI patients with or without SLE
MI-SLE, n (%) | Ntotal | MI-non-SLE, n (%) | Ntotal | P value | |
NSTEMI | 23 (72) | 32 | 21 (66) | 32 | 1.0* |
STEMI | 9 (28) | 32 | 11 (34) | 32 | |
MINOCA (0-VD) | 3 (12) | 26 | 10 (35) | 29 | 0.07* |
MI-CAD (≥1 VD) | 23 (88) | 26 | 19 (66) | 29 | |
0-VD | 3 (12) | 26 | 10 (35) | 29 | 0.04† |
1-VD | 13 (50) | 26 | 9 (31) | 29 | |
≥2-VD | 10 (39) | 26 | 10 (35) | 29 | |
LMCA involvement | 3 (12) | 26 | 0 (0) | 29 | 0.50* |
LAD involvement | 19 (73) | 26 | 17 (59) | 29 | 0.11* |
RCA involvement | 7 (27) | 26 | 9 (31) | 29 | 0.75* |
Cx involvement | 6 (23) | 26 | 6 (21) | 29 | 1.0* |
LVEF <50% | 13 (45) | 29 | 12 (36) | 33 | 0.79* |
LVEF ≥50% | 16 (55) | 29 | 21 (64) | 33 |
*The McNemar test was used.
†The Wilcoxon signed-rank test was used.
Cx, circumflex artery; LAD, left anterior descending artery; LMCA, left main coronary artery; LVEF, left ventricular ejection fraction; MI-CAD, MI with coronary artery disease; MINOCA, MI with non-obstructive coronary arteries; MI-non-SLE, MI patients without SLE; MI-SLE, MI patients with SLE; NSTEMI, non-ST-elevation MI; RCA, right coronary artery; STEMI, ST-elevation MI; 0-VD, 0-vessel disease; 1-VD, 1-vessel disease; 2-VD, 2-vessel disease.
Discussion
In this study, 88% of MIs in patients with SLE were classified as MI-CADs. The number of involved coronary arteries at MI were higher, and symptomatic CAD preceding MI was more common in MI-SLE patients as compared with age-matched and gender-matched MI controls. These findings suggest that accelerated coronary atherosclerosis is a major cause of the increased risk of MI, previously documented in patients with SLE.6–9
Studies of atherosclerosis using coronary angiography in patients with SLE are to date few. In a registry-based study by Tornvall et al,27 the frequency of MI-CAD was similar in patients with SLE and controls, but patients with SLE were 7 years younger at their first MI. Kaul et al21 used a different approach and compared 86 patients with SLE with 258 sex-matched and year of catheterisation-matched controls, who had been subject to coronary angiography on clinical indications. Patients with SLE demonstrated similar rates of CAD as controls, despite the fact that the median age was 21 years younger in patients with SLE as compared with the controls (49 vs 70 years). CAD was associated with SLE after adjustment for traditional cardiovascular risk factors including age. Sella et al34 performed coronary angiography in 21 patients with SLE and reported that atherosclerotic plaques were, besides traditional cardiovascular risk factors, associated with higher SLE disease activity.34 Taken together, these results support a pivotal role for coronary atherosclerosis as a risk factor for MI in patients with SLE.
In conformity with previous reports,21 34 LAD was the most commonly involved artery in our study. LAD involvement may lead to complications related to left ventricular dysfunction. The prevalence of impaired LVEF did not differ significantly between MI-SLE and MI-non-SLE patients in this study, but it is known that the risk of heart failure (HF) is increased in SLE.35 36 Note that subtypes of HF have not been separated in previous studies. Therefore, further studies are warranted, in order to better understand the relative contribution of MI-CAD and LAD-involvement, as HF with reduced EF, rather than HF with preserved EF, is typically associated with MI-CAD.
Besides CAD, symptomatic CVD preceded MI more often in MI-SLE patients than in controls. Also, ldASA before MI/inclusion was more commonly prescribed to MI-SLE patients compared with controls. This finding is expected, since ldASA is used as secondary prevention for both CVD and CAD. We were not able to specifically investigate whether atherosclerosis was generalised or not. However, previous studies have demonstrated evidence of atherosclerotic plaques also in non-cardiac vascular locations in patients with SLE.22 25 26 These results also indicate accelerated atherosclerosis in SLE and call for attentive surveillance and early initiation of antiatherosclerotic prophylactic treatment in patients with SLE. To date, treatment studies in SLE are few and underpowered, but a meta-analysis of eight trials with statins demonstrated lower lipid and lower CRP levels in patients undergoing statin treatment.37
Besides statins, HCQ use may reduce the risk of MI in patients with SLE. Even though the difference in HCQ use between MI-SLE patients and non-MI-SLE was only trendwise significant in the present study, other authors have reported an atheroprotective effect related to HCQ use in patients with SLE.38 39 In a meta-analysis by Liu et al,38 HCQ use was associated with a 36% (95% CI 0.51 to 0.81) lower relative risk of CVD in patients with SLE. Besides demonstrating lower HRs for major adverse cardiovascular events, Haugaard et al39 found a 49% (95% CI 0.27 to 0.97) lower HR for MI in SLE patients with HCQ compared with controls. Note that MI was a secondary outcome in the study by Haugaard et al.39 HCQ has a known lipid-lowering effect40 and ameliorate inflammation in SLE41 partly through decreased interleukin (IL)-1β and IL-6 production.42 These cytokines have been attributed a casual role in the process of atherosclerosis.43 44 Taken together, the result from the present study is in line with larger prospective and mechanistic studies, which suggest an atheroprotective effect from HCQ use in patients with SLE.
MI with non-obstructive coronary arteries (MINOCA), defined as <50% coronary stenosis/occlusion,45 was trend wise more prevalent in our MI-non-SLE controls as compared with MI-SLE patients (35% vs 12%; p=0.07). The prevalence of MINOCA in MI-SLE patients was similar in our study and the study by Tornvall et al,27 that is, 12% versus 11%, respectively. In a meta-analysis by Pasupathy et al,46 MINOCA frequency in the general population was lower than in our MI-non-SLE controls: 6% versus 35%, respectively. The fact that our MI-non-SLE controls were individually matched to the MI-SLE patients yielded an enrichment of young females among MI-non-SLE controls. Both younger age and female gender are known to be associated with an increased risk of MINOCA.46 This likely explains the higher MINOCA frequency observed in our MI-non-SLE controls.46 Because our data were collected retrospectively from medical files of standard MI care, our classifications are based on one interventionist’s opinion. By contrast, the diagnosis of MINOCA usually requires the opinion of two independent interventionists when used for scientific purposes. This may further contribute to the discrepancy in MINOCA prevalence reported in our study and the study by Pasupathy et al.46
Although VTE and APS were not significantly associated with MI in the present study, previous studies have demonstrated that aPL predict CVD defined as a composite outcome.9 16–20 It is worth noting that aPL has been more strongly linked to stroke and VTE than to MI.47 This is one possible explanation for the discrepancy between our and the previous studies, since the present study is focused on MI.
Renal involvement has previously been identified as a risk factor for MI in patients with SLE.11–13 We have previously reported that excess atherosclerosis, as indicated by carotid plaque occurrence, was restricted to patients with lupus nephritis rather than patients without lupus nephritis.10 In the current study, we observed a trend towards lower eGFR in MI-SLE patients. We could not replicate previously reported associations between renal involvement and MI in patients with SLE,11–13 27 possibly due to lack of power. Similarly, smoking status and diabetes were not associated with MI, even though these variables have been previously linked to CVD in SLE.16 18–20 Age at SLE onset differed numerically, but not statistically, when MI-SLE patients were compared with non-MI-SLE patients, also possibly due to a small sample size.
When possible to retrieve, we noticed significantly lower plasma albumin levels collected within 3 months of study entry in MI-SLE patients compared with matched non-MI-SLE controls. We and others have previously proposed that albumin is an inverse surrogate marker of disease activity in SLE, in particular in patients with renal disease, who lose albumin in the urine.28 48 An increased cumulative inflammatory burden, as indicated by lower albumin levels in MI-SLE, may increase the risk of MI through several mechanisms. Accumulated flares or a steady-state inflammatory milieu may over time, together with certain treatments, for example, glucocorticoids, increase the risk of MI.17 These factors, together with renal involvement may collectively contribute to accelerate atherosclerosis and/or make atherosclerotic plaques more prone to rupture, as discussed in two systematic reviews.49 50 It is worth noting that corticosteroid dose at hospital admission was not associated with MI in the present study. However, in contrast to Magder et al,17 we did not have data on accumulated exposure to glucocorticoids, which normally increases with disease duration.
This study has strengths. First, we used well-defined MI as our primary outcome rather than a mixture of vascular outcomes. Second, patients with SLE were recruited from a large consecutively collected cohort of well-characterised patients. We also acknowledge limitations, such as the retrospective design, the limited power for statistical analysis and missing data in some cases, for example, data on coronary angiography findings and plasma albumin levels. Furthermore, it is possible that comorbidities were more commonly identified before the event in MI-SLE patients because of closer surveillance of these patients as compared with the general population comparators.
Conclusions
The present study demonstrates that MIs in SLE are in most cases associated with coronary atherosclerosis. MIs in SLE were also often preceded by symptomatic vascular disease, calling for more attentive surveillance of CVD and its risk factors as well as for early atheroprotective interventions. Further larger and preferable prospective studies are needed in order to understand the specific causes of accelerated coronary atherosclerosis in SLE.
Acknowledgments
We would like to acknowledge associate professor Elizabeth Arkema, who helped us with valuable comments and proofreading, and Ulf Wiberg, who helped us to collect medical files for the data collection.
Footnotes
Contributors: IS together with ES, IP, CH-B and HW were all involved in planning the study and analysing collected data. ES, IP, AZ and IG have also contributed by recruiting patients to the KSLE cohort, which was used in order to identify myocardial infarction (MI)-SLE and non-MI-SLE patients. IS did the retrospective medical file review. All authors contributed to and approved the manuscript prior submission. ES was the principal investigator in this study.
Funding: The Swedish Research Council (2018-02535), Swedish Society of Medicine and the Ingegerd Johansson Donation (SLS-713911), King Gustaf V’s 80-year Fund (FAI-2019-0628), The Swedish Heart-Lung Foundation (20170257), Stockholm County Council (20200075) and The Swedish Rheumatism Association (R-840401).
Competing interests: None declared.
Patient and public involvement: Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement
Data are available on reasonable request. Deidentfied participant data are available on reasonable request.
Ethics statements
Patient consent for publication
Not required.
Ethics approval
The regional ethics review board in Stockholm approved this study.
References
- 1.Lisnevskaia L, Murphy G, Isenberg D. Systemic lupus erythematosus. Lancet 2014;384:1878–88. 10.1016/S0140-6736(14)60128-8 [DOI] [PubMed] [Google Scholar]
- 2.Rees F, Doherty M, Grainge MJ, et al. Mortality in systemic lupus erythematosus in the United Kingdom 1999–2012. Rheumatology 2016;55:854–60. 10.1093/rheumatology/kev424 [DOI] [PubMed] [Google Scholar]
- 3.Ingvarsson RF, Landgren AJ, Bengtsson AA, et al. Good survival rates in systemic lupus erythematosus in southern Sweden, while the mortality rate remains increased compared with the population. Lupus 2019;28:1488–94. 10.1177/0961203319877947 [DOI] [PubMed] [Google Scholar]
- 4.Gustafsson JT, Simard JF, Gunnarsson I, et al. Risk factors for cardiovascular mortality in patients with systemic lupus erythematosus, a prospective cohort study. Arthritis Res Ther 2012;14:R46. 10.1186/ar3759 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bernatsky S, Boivin J-F, Joseph L, et al. Mortality in systemic lupus erythematosus. Arthritis Rheum 2006;54:2550–7. 10.1002/art.21955 [DOI] [PubMed] [Google Scholar]
- 6.Hak AE, Karlson EW, Feskanich D, et al. Systemic lupus erythematosus and the risk of cardiovascular disease: results from the nurses' health study. Arthritis Rheum 2009;61:1396–402. 10.1002/art.24537 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Fischer LM, Schlienger RG, Matter C, et al. Effect of rheumatoid arthritis or systemic lupus erythematosus on the risk of first-time acute myocardial infarction. Am J Cardiol 2004;93:198–200. 10.1016/j.amjcard.2003.09.037 [DOI] [PubMed] [Google Scholar]
- 8.Manzi S, Meilahn EN, Rairie JE, et al. Age-Specific incidence rates of myocardial infarction and angina in women with systemic lupus erythematosus: comparison with the Framingham study. Am J Epidemiol 1997;145:408–15. 10.1093/oxfordjournals.aje.a009122 [DOI] [PubMed] [Google Scholar]
- 9.Bengtsson C, Öhman M-L, Nived O, et al. Cardiovascular event in systemic lupus erythematosus in northern Sweden: incidence and predictors in a 7-year follow-up study. Lupus 2012;21:452–9. 10.1177/0961203311425524 [DOI] [PubMed] [Google Scholar]
- 10.Gustafsson JT, Herlitz Lindberg M, Gunnarsson I, et al. Excess atherosclerosis in systemic lupus erythematosus,-A matter of renal involvement: Case control study of 281 SLE patients and 281 individually matched population controls. PLoS One 2017;12:e0174572. 10.1371/journal.pone.0174572 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hermansen M-L, Lindhardsen J, Torp-Pedersen C, et al. The risk of cardiovascular morbidity and cardiovascular mortality in systemic lupus erythematosus and lupus nephritis: a Danish nationwide population-based cohort study. Rheumatology 2017;15:kew475–15. 10.1093/rheumatology/kew475 [DOI] [PubMed] [Google Scholar]
- 12.Wells DK, Ward MM. Nephritis and the risk of acute myocardial infarction in patients with systemic lupus erythematosus. Clin Exp Rheumatol 2010;28:223–9. [PMC free article] [PubMed] [Google Scholar]
- 13.Faurschou M, Mellemkjaer L, Starklint H, et al. High risk of ischemic heart disease in patients with lupus nephritis. J Rheumatol 2011;38:2400–5. 10.3899/jrheum.110329 [DOI] [PubMed] [Google Scholar]
- 14.Cervera R, Piette J-C, Font J, et al. Antiphospholipid syndrome: clinical and immunologic manifestations and patterns of disease expression in a cohort of 1,000 patients. Arthritis & Rheumatism 2002;46:1019–27. 10.1002/art.10187 [DOI] [PubMed] [Google Scholar]
- 15.Miyakis S, Lockshin MD, Atsumi T, et al. International consensus statement on an update of the classification criteria for definite antiphospholipid syndrome (APS). J Thromb Haemost 2006;4:295–306. 10.1111/j.1538-7836.2006.01753.x [DOI] [PubMed] [Google Scholar]
- 16.Gustafsson J, Gunnarsson I, Börjesson O, et al. Predictors of the first cardiovascular event in patients with systemic lupus erythematosus - a prospective cohort study. Arthritis Res Ther 2009;11:R186. 10.1186/ar2878 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Magder LS, Petri M. Incidence of and risk factors for adverse cardiovascular events among patients with systemic lupus erythematosus. Am J Epidemiol 2012;176:708–19. 10.1093/aje/kws130 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Toloza SMA, Uribe AG, McGwin G, et al. Systemic lupus erythematosus in a multiethnic US cohort (LUMINA). XXIII. baseline predictors of vascular events. Arthritis Rheum 2004;50:3947–57. 10.1002/art.20622 [DOI] [PubMed] [Google Scholar]
- 19.Fasano S, Margiotta DP, Gualtierotti R, et al. The incidence of cardiovascular events in Italian patients with systemic lupus erythematosus is lower than in North European and American cohorts: implication of disease-associated and traditional risk factors as emerged by a 16-year retrospective GIRRCS study: GIRRCS=Gruppo Italiano di Ricerca in Reumatologia clinica E Sperimentale. Medicine 2018;97:e0370. 10.1097/MD.0000000000010370 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Fernández-Nebro A, Rúa-Figueroa Íñigo, López-Longo FJ, et al. Cardiovascular events in systemic lupus erythematosus: a nationwide study in Spain from the RELESSER registry. Medicine 2015;94:e1183. 10.1097/MD.0000000000001183 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kaul MS, Rao SV, Shaw LK, et al. Association of systemic lupus erythematosus with angiographically defined coronary artery disease: a retrospective cohort study. Arthritis Care Res 2013;65:266–73. 10.1002/acr.21782 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Henrot P, Foret J, Barnetche T, et al. Assessment of subclinical atherosclerosis in systemic lupus erythematosus: a systematic review and meta-analysis. Joint Bone Spine 2018;85:155–63. 10.1016/j.jbspin.2017.12.009 [DOI] [PubMed] [Google Scholar]
- 23.Wang P, Mao Y-M, Zhao C-N, et al. Increased pulse wave velocity in systemic lupus erythematosus: a meta-analysis. Angiology 2018;69:228–35. 10.1177/0003319717715964 [DOI] [PubMed] [Google Scholar]
- 24.Von Feldt JM, Scalzi LV, Cucchiara AJ, et al. Homocysteine levels and disease duration independently correlate with coronary artery calcification in patients with systemic lupus erythematosus. Arthritis Rheum 2006;54:2220–7. 10.1002/art.21967 [DOI] [PubMed] [Google Scholar]
- 25.Wu G-C, Liu H-R, Leng R-X, et al. Subclinical atherosclerosis in patients with systemic lupus erythematosus: a systemic review and meta-analysis. Autoimmun Rev 2016;15:22–37. 10.1016/j.autrev.2015.10.002 [DOI] [PubMed] [Google Scholar]
- 26.Tektonidou MG, Kravvariti E, Konstantonis G, et al. Subclinical atherosclerosis in systemic lupus erythematosus: comparable risk with diabetes mellitus and rheumatoid arthritis. Autoimmun Rev 2017;16:308–12. 10.1016/j.autrev.2017.01.009 [DOI] [PubMed] [Google Scholar]
- 27.Tornvall P, Göransson A, Ekman J, et al. Myocardial infarction in systemic lupus erythematosus: incidence and coronary angiography findings. Angiology 2021;72:459–64. 10.1177/0003319720985337 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Idborg H, Eketjäll S, Pettersson S, et al. TNF-α and plasma albumin as biomarkers of disease activity in systemic lupus erythematosus. Lupus Sci Med 2018;5:e000260. 10.1136/lupus-2018-000260 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Tan EM, Cohen AS, Fries JF, et al. The 1982 revised criteria for the classification of systemic lupus erythematosus. Arthritis & Rheumatism 1982;25:1271–7. 10.1002/art.1780251101 [DOI] [PubMed] [Google Scholar]
- 30.Thygesen K, Alpert JS, Jaffe AS, et al. Third universal definition of myocardial infarction. Circulation 2012;126:2020–35. 10.1161/CIR.0b013e31826e1058 [DOI] [PubMed] [Google Scholar]
- 31.Jernberg T, Attebring MF, Hambraeus K, et al. The Swedish Web-system for enhancement and development of evidence-based care in heart disease evaluated according to recommended therapies (SWEDEHEART). Heart 2010;96:1617–21. 10.1136/hrt.2010.198804 [DOI] [PubMed] [Google Scholar]
- 32.Levey AS, Coresh J, Greene T, et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 2006;145:247–54. 10.7326/0003-4819-145-4-200608150-00004 [DOI] [PubMed] [Google Scholar]
- 33.American Diabetes Association . 2. Classification and diagnosis of diabetes: standards of medical Care in diabetes-2018. Diabetes Care 2018;41:S13–27. 10.2337/dc18-S002 [DOI] [PubMed] [Google Scholar]
- 34.Sella EMC, Sato EI, Barbieri A. Coronary artery angiography in systemic lupus erythematosus patients with abnormal myocardial perfusion scintigraphy. Arthritis Rheum 2003;48:3168–75. 10.1002/art.11260 [DOI] [PubMed] [Google Scholar]
- 35.Kim CH, Al-Kindi SG, Jandali B, et al. Incidence and risk of heart failure in systemic lupus erythematosus. Heart 2017;103:227–33. 10.1136/heartjnl-2016-309561 [DOI] [PubMed] [Google Scholar]
- 36.Chen SK, Barbhaiya M, Fischer MA, et al. Heart failure risk in systemic lupus erythematosus compared to diabetes mellitus and general Medicaid patients. Semin Arthritis Rheum 2019;49:389–95. 10.1016/j.semarthrit.2019.06.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Artola RT, Mihos CG, Santana O. Effects of statin therapy in patients with systemic lupus erythematosus. South Med J 2016;109:705–11. 10.14423/SMJ.0000000000000561 [DOI] [PubMed] [Google Scholar]
- 38.Liu D, Li X, Zhang Y, et al. Chloroquine and hydroxychloroquine are associated with reduced cardiovascular risk: a systematic review and meta-analysis. Drug Des Devel Ther 2018;12:1685–95. 10.2147/DDDT.S166893 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Haugaard JH, Dreyer L, Ottosen MB, et al. Use of hydroxychloroquine and risk of major adverse cardiovascular events in patients with lupus erythematosus: a Danish nationwide cohort study. J Am Acad Dermatol 2021;84:930–7. 10.1016/j.jaad.2020.12.013 [DOI] [PubMed] [Google Scholar]
- 40.Ruiz-Irastorza G, Ramos-Casals M, Brito-Zeron P, et al. Clinical efficacy and side effects of antimalarials in systemic lupus erythematosus: a systematic review. Ann Rheum Dis 2010;69:20–8. 10.1136/ard.2008.101766 [DOI] [PubMed] [Google Scholar]
- 41.Ponticelli C, Moroni G. Hydroxychloroquine in systemic lupus erythematosus (SLE). Expert Opin Drug Saf 2017;16:411–9. 10.1080/14740338.2017.1269168 [DOI] [PubMed] [Google Scholar]
- 42.Wozniacka A, Lesiak A, Boncela J, et al. The influence of antimalarial treatment on IL-1beta, IL-6 and TNF-alpha mRNA expression on UVB-irradiated skin in systemic lupus erythematosus. Br J Dermatol 2008;159:1124–30. 10.1111/j.1365-2133.2008.08804.x [DOI] [PubMed] [Google Scholar]
- 43.Ridker PM, Everett BM, Thuren T, et al. Antiinflammatory therapy with canakinumab for atherosclerotic disease. N Engl J Med Overseas Ed 2017;377:1119–31. 10.1056/NEJMoa1707914 [DOI] [PubMed] [Google Scholar]
- 44.IL6R Genetics Consortium Emerging Risk Factors Collaboration, Sarwar N, Butterworth AS, et al. Interleukin-6 receptor pathways in coronary heart disease: a collaborative meta-analysis of 82 studies. Lancet 2012;379:1205–13. 10.1016/S0140-6736(11)61931-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Agewall S, Beltrame JF, Reynolds HR, et al. Esc Working group position paper on myocardial infarction with non-obstructive coronary arteries. Eur Heart J 2017;38:143–53. 10.1093/eurheartj/ehw149 [DOI] [PubMed] [Google Scholar]
- 46.Pasupathy S, Air T, Dreyer RP, et al. Systematic review of patients presenting with suspected myocardial infarction and nonobstructive coronary arteries. Circulation 2015;131:861–70. 10.1161/CIRCULATIONAHA.114.011201 [DOI] [PubMed] [Google Scholar]
- 47.Vikerfors A, Johansson A-B, Gustafsson JT, et al. Clinical manifestations and anti-phospholipid antibodies in 712 patients with systemic lupus erythematosus: evaluation of two diagnostic assays. Rheumatology 2013;52:501–9. 10.1093/rheumatology/kes252 [DOI] [PubMed] [Google Scholar]
- 48.Yip J, Aghdassi E, Su J, et al. Serum albumin as a marker for disease activity in patients with systemic lupus erythematosus. J Rheumatol 2010;37:1667–72. 10.3899/jrheum.091028 [DOI] [PubMed] [Google Scholar]
- 49.Escárcega RO, Lipinski MJ, García-Carrasco M, et al. Inflammation and atherosclerosis: cardiovascular evaluation in patients with autoimmune diseases. Autoimmun Rev 2018;17:703–8. 10.1016/j.autrev.2018.01.021 [DOI] [PubMed] [Google Scholar]
- 50.Gisterå A, Hansson GK. The immunology of atherosclerosis. Nat Rev Nephrol 2017;13:368–80. 10.1038/nrneph.2017.51 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data are available on reasonable request. Deidentfied participant data are available on reasonable request.