Skip to main content

Main menu

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • JRheum Supplements
  • Services

User menu

  • My Cart
  • Log In

Search

  • Advanced search
The Journal of Rheumatology
  • JRheum Supplements
  • Services
  • My Cart
  • Log In
The Journal of Rheumatology

Advanced Search

  • Home
  • Content
    • First Release
    • Current
    • Archives
    • Collections
    • Audiovisual Rheum
    • 50th Volume Reprints
  • Resources
    • Guide for Authors
    • Submit Manuscript
    • Payment
    • Reviewers
    • Advertisers
    • Classified Ads
    • Reprints and Translations
    • Permissions
    • Meetings
    • FAQ
    • Policies
  • Subscribers
    • Subscription Information
    • Purchase Subscription
    • Your Account
    • Terms and Conditions
  • About Us
    • About Us
    • Editorial Board
    • Letter from the Editor
    • Duncan A. Gordon Award
    • Privacy/GDPR Policy
    • Accessibility
  • Contact Us
  • Follow Jrheum on BlueSky
  • Follow jrheum on Twitter
  • Visit jrheum on Facebook
  • Follow jrheum on LinkedIn
  • Follow jrheum on YouTube
  • Follow jrheum on Instagram
  • Follow jrheum on RSS
Research ArticleArticle

Nighttime Blood Pressure Patterns and Subclinical Atherosclerosis in Women with Systemic Lupus Erythematosus

José Mario Sabio, Josefina Martinez-Bordonado, Isabel Sánchez-Berná, José Antonio Vargas-Hitos, Juan Diego Mediavilla, Nuria Navarrete-Navarrete, Mónica Zamora-Pasadas, Manuela Expósito Ruíz and Juan Jiménez-Alonso
The Journal of Rheumatology December 2015, 42 (12) 2310-2317; DOI: https://doi.org/10.3899/jrheum.150531
José Mario Sabio
From the Systemic Autoimmune Diseases Unit, Department of Internal Medicine, and Hypertension and Lipids Unit, Department of Internal Medicine, University Hospital Virgen de las Nieves; Department of Statistics, Investigación Biosanitaria de Andalucía Oriental Foundation, Granada, Spain.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: jomasabio{at}gmail.com
Josefina Martinez-Bordonado
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Isabel Sánchez-Berná
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
José Antonio Vargas-Hitos
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Juan Diego Mediavilla
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nuria Navarrete-Navarrete
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mónica Zamora-Pasadas
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Manuela Expósito Ruíz
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Juan Jiménez-Alonso
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
PreviousNext
Loading

Abstract

Objective. To compare 24-h ambulatory blood pressure (BP) monitoring (ABPM) values and patterns in women with systemic lupus erythematosus (SLE) with those of a matched control group and their relationship with the presence of subclinical atherosclerosis.

Methods. ABPM was assessed in 70 women with SLE and in 65 sex- and age-matched controls without a history of clinic cardiovascular disease (CVD). Carotid-femoral pulse wave velocity (PWV), which is a marker of subclinical atherosclerosis and a predictor of future CVD, was measured. Multivariate logistic analysis was used to determine which explanatory variables were independently associated with the non-dipper pattern and the presence of nocturnal hypertension (HTN) in women with SLE.

Results. No differences in PWV were found between patients and controls [median 7.3, interquartile range (IQR) 6.5–8.1 m/s vs median 7.1, IQR 6.5–7.8 m/s, p = 0.474]. The frequency of nondipper pattern (p = 0.025) and nocturnal HTN (p = 0.004) was significantly higher in women with SLE than in controls. White-coat and masked HTN were present in 10% and 11% of patients and in 20% and 8% of controls, respectively (p > 0.05 in all cases). The concordance between office and ambulatory HTN in the SLE and control groups was modest (κ = 0.325 and κ = 0.451, respectively). PWV and chronic kidney disease, and PWV and the Systemic Lupus Erythematosus Disease Activity Index were found to be independently associated with nocturnal HTN and nondipper pattern, respectively.

Conclusion. Women with SLE were more likely to have an altered nighttime BP pattern than controls. In women with SLE, nondipper pattern and nocturnal HTN were independently associated with increased subclinical atherosclerosis measured by PWV.

Key Indexing Terms:
  • SYSTEMIC LUPUS ERYTHEMATOSUS
  • HYPERTENSION
  • ATHEROSCLEROSIS
  • AMBULATORY BLOOD PRESSURE MONITORING
  • NONDIPPER PATTERN

Patients with systemic lupus erythematosus (SLE) have a 4- to 10-fold increased risk of developing cardiovascular (CV) diseases (CVD) compared with the general population1 because they experience early and accelerated atherosclerosis2. Hypertension (HTN) is one of the most important modifiable factors implicated in the development of the atherosclerosis and CVD in SLE3. Its physiopathology is complex and a combination of SLE-related and neuroendocrine factors has been suggested4,5,6,7,8. Although most authors agree that HTN is more common in SLE than in the general population, the prevalence ranges from 14%9 to 60%10 because of the differences in the definition of HTN used, the variability reading-to-reading of blood pressure (BP), and the methodologies used in its measurement. BP measurements made in the physician’s office (office BP) continues to be the basis of HTN diagnosis; however, 24-h ambulatory BP monitoring (ABPM) has emerged as a valuable tool in determining BP because it provides a more accurate assessment with respect to office BP11. ABPM measures a person’s BP during regular daily life, including sleeping hours at night, and hence provides accurate risk estimation of exposure to abnormal BP. Moreover, ABPM identifies white-coat and masked HTN. Specifically, nighttime BP is a stronger predictor of CV risk than office or daytime ambulatory BP12. In addition, a nondipper pattern, defined as a decrease in the average BP while asleep below 10% with respect to the average awake BP, is also a strong prognostic indicator of CV morbidity and mortality for both hypertensive and normotensive individuals. Female sex, which represents about 90% of patients with SLE, has been identified as an independent predictor of nondipper pattern13. In addition, higher target organ damage has been observed among women who experience an attenuated BP decline at nighttime14, and the association between nocturnal BP and CV outcome has been reported to be stronger in women compared with men15. In spite of all this evidence, ABPM and its association with clinical and subclinical CVD in SLE has been scarcely investigated16.

Carotid-femoral pulse wave velocity (PWV) is considered to be the gold standard for assessing arterial stiffness and has shown to be an independent marker of CVD both in high-risk and in general populations17. Stiffness is affected by endothelial cell function and vascular wall elasticity, and it can be altered in the early stage of atherosclerosis18.

The purpose of our study was to evaluate the hypothesis that nighttime BP disturbances are more frequent in women with SLE than in controls, and that these disorders can be associated with increased PWV.

MATERIALS AND METHODS

Participants

Consecutive, nonpregnant women with SLE aged 18–60 years who were followed during at least 1 year and a matched control group for sex, age, and educational level recruited among nonconsanguineous acquaintances of patients and nonmedical staff from our hospital were invited to participate. Subjects with a history of overt CVD (acute myocardial infarction, angina pectoris, stroke, or peripheral arterial disease), sleep disorders, tachyarrhythmia, or with a body mass index (BMI) ≥ 40 that could hinder PWV measurement were excluded. All participants were white. The Institutional Review Board of our hospital approved our study and all subjects gave written informed consent.

Protocol, and BP and PWV measurements

Participants were evaluated using a standardized clinical interview. Fasting blood specimens for biochemical and immunological tests were collected and routinely processed using the techniques performed by the central laboratory of our hospital. Additional information necessary for our study was obtained from medical records. The office BP was taken in duplicate separated by 5 min on the dominant arm with the subject in a seated position after at least 5 min of rest using a validated automatic oscillometric device (HEM-7051T; Omron Health Care). BP was considered the lowest measure. Next, a 24-h ABPM was done according to the international recommendations19. An automated noninvasive oscillometric device (SpaceLabs 90207) was used and programmed to register BP at 20-min intervals during the daytime and every 30 min during the nighttime, starting between 10:00 AM and 11:00 AM on a workday, until the same time the following day. Registries were considered valid when ≥ 80% of BP measurements were successfully recorded during the daytime and nighttime, and at least 1 BP measurement was taken per hour. Daytime and nighttime periods were defined individually according to each patient’s self-reported data of going-to-bed and getting-up times. In treated hypertensive participants, BP-lowering drugs were discontinued 24 h before the ABPM. Arterial stiffness was evaluated by measuring PWV using an automatic device (Complior Analyse from ALAM-MEDICAL), as previously described5.

BP definitions

Office HTN was deemed to be present if systolic BP (SBP) was > 140 mmHg and/or diastolic BP (DBP) was > 90 mmHg or if the subject was taking medications for HTN. Diagnostic criteria of HTN based on ABPM measurement are shown in Table 1. Nighttime SBP dipping was defined as the percentage of the decline in nighttime SBP with respect to the daytime SBP. When a participant had a nighttime SBP dipping < 10%, she was classified as nondipper. White-coat HTN referred to participants who had elevated office BP but normal ABPM. Its frequency was calculated with respect to the number of individuals with office HTN. Masked HTN was diagnosed when office BP was normal but a diagnosis of ambulatory HTN was made, and its frequency was calculated with respect to the number of normotensive subjects.

View this table:
  • View inline
  • View popup
Table 1.

Diagnostic criteria of HTN based on 24-h ABPM measurement.

Other definitions

Diabetes was considered to be present when the participant was taking antidiabetics or if fasting glucose was > 126 mg/dl. The estimated glomerular filtration rate (eGFR) was automatically calculated using the Modification of Diet in Renal Disease 7 equation (www.semergencantabria.org/calc/cacalc.htm). An eGFR < 60 ml/min/1.73 m2 for 3 months indicated chronic kidney disease (CKD)20. Obesity, low physical activity, smoking, menopausal status, and metabolic syndrome (MetS) have been defined5. Disease activity and cumulated organ damage were measured using the Safety of Estrogens in Lupus Erythematosus National Assessment-SLE Disease Activity Index (SELENA-SLEDAI)21 and the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SLICC/ACR-DI)22.

Statistical analysis

Data were presented as the median (interquartile range) for continuous variables and as a percentage for categorical variables. The Shapiro-Wilk test was used for the normality distribution of continuous variables. The Student t test, Mann-Whitney U test, and chi-square test were used to compare parametric, nonparametric, and categorical variables, respectively. OR and 95% CI were calculated. Cohen κ statistic was used for measuring the concordance between the diagnosis of office and ambulatory HTN. A multivariate logistic analysis was used to determine which explanatory variables were independently associated with nondipper pattern and nocturnal HTN. Since no significant differences were found between dippers and nondippers patients with SLE in the univariable analysis, the independent variables included in the multivariable analysis were chosen according to their clinical relevance in the general population (age, CKD) and the potential interest in patients with SLE [use of prednisone (PRED), PWV, SELENA-SLEDAI, and SLICC/ACR-DI]. Likewise, the variables included in the model for nocturnal HTN (dependent variable) were age, SLICC/ACR-DI, PWV, disease duration, CKD, and office HTN, which were significantly higher in patients with nocturnal HTN. All analyses used a 5% two-sided significance level and were done using SPSS statistical software, version 15.0 (SPSS).

RESULTS

Sample characteristics

We recruited 70 women with SLE and 65 controls. The median duration of SLE was 8 (5–16) years and the median age at diagnosis was 25 (20–33) years. Most of the patients had stable disease with a median SELENA-SLEDAI score of 2 (0–4), 26% with a SELENA-SLEDAI score = 0, and 91% with a SELENA-SLEDAI ≤ 4. Also, organ damage was low (SLICC/ACR-DI 0, 0–1). Clinically, the cumulated frequency of lupus nephritis, neurological involvement, hematological involvement, serositis, and antiphospholipid was 40%, 4%, 28%, 26%, and 10%, respectively. Eight patients with a history of lupus nephritis developed CKD. PRED and hydroxychloroquine (HCQ) were being taken by 61% and 94% of patients, respectively. The median daily PRED dose was 5.0 (0–7.5) mg/day, and immunosuppressive drugs were being used by 39% of patients (azathioprine 7%, methotrexate 7%, mycophenolate 27%).

Demographic and cardiometabolic data of participants

Baseline demographic and CV characteristics of women with SLE and controls are presented in Table 2.

View this table:
  • View inline
  • View popup
Table 2.

Demographic and cardiometabolic characteristics of participants. Values are n (%) or median (interquartile range) unless otherwise specified.

Twenty-seven patients (39%) and 4 controls (6.2%) were receiving antihypertensive agents. Of them, 13 patients (48%) and 3 controls (75%) used ≥ 2 agents. The cumulative frequency of BP-lowering drugs was angiotensin-converting enzyme inhibitors (70%), angiotensin II antagonists (37%), calcium channel blockers (22%), β-blockers (22%), and diuretics (22%) in patients, and angiotensin II antagonists (75%), diuretics (50%), and β-blockers (25%) in controls.

BP measurements

The average correct reading rates were 97% (93–98) in SLE group and 97% (88–98) in controls. As shown in Table 3 and in Figure 1, office HTN (OR 4.8, 95% CI 1.7–13.7) and ambulatory HTN (OR 2.7, 95% CI 1.02–6.9) were more frequent in the SLE group. Likewise, nocturnal HTN (OR 4.9, 95% CI 1.5–15.4), nondipper pattern (OR 2.2, 95% CI 1.1–4.5), and isolated nighttime HTN (OR 3.1, 95% CI 1.5–11.8) were more likely to be present in women with SLE. Most women with SLE with nocturnal HTN had isolated nighttime HTN. The average nighttime SBP decline was lower in the SLE group (p = 0.027). Finally, the frequency of white-coat HTN and masked HTN was similar in both groups.

Frequencies of office, ambulatory, nocturnal, and isolated nighttime HTN in women with systemic SLE. HTN: hypertension; SLE: systemic lupus erythematosus.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Frequencies of office, ambulatory, nocturnal, and isolated nighttime HTN in women with systemic SLE. HTN: hypertension; SLE: systemic lupus erythematosus.

View this table:
  • View inline
  • View popup
Table 3.

Blood pressure characteristics in patients and in controls. Values are n (%) or median (interquartile range) unless otherwise specified.

Concordance between the diagnosis of office and ambulatory HTN in the SLE and control groups

The concordance between the diagnosis of office and ambulatory HTN in controls (κ 0.451, p < 0.001) and in women with SLE (κ 0.325, p = 0.007) was modest. Thus, in controls, out of 5 subjects with office HTN, 3 (60%) were also classified as having ambulatory HTN. Conversely, out of 60 controls considered as having normal office BP, 56 (93%) were also normotensives for ABPM measurements. In contrast, in women with SLE, out of 20 patients with office HTN, only 10 (50%) were diagnosed with ambulatory HTN. In addition, out of 50 patients with normal office BP, ABPM measurement was normal in 41 (82%).

Comparison between patients with and without nocturnal HTN, and between dippers and nondippers

Patients with nocturnal HTN were older (p = 0.002), had a longer disease duration (p = 0.008), and were more often menopausal (OR 4.6, 95% CI 1.3–16.1). Also, they were more likely to have CKD (OR 6.9, 95% CI 1.5–33) and office HTN (OR 4.3, 95% CI 1.3–13.7). Finally, they had higher PWV (p = 0.003; Table 4).

View this table:
  • View inline
  • View popup
Table 4.

Comparison between dippers and nondippers, and between with and without nocturnal hypertension in the SLE group. Values are n (%) or median (interquartile range) unless otherwise specified.

No differences between groups (dippers/nondippers and with or without nocturnal HTN) were observed in any of the following cardiometabolic and SLE-related variables evaluated: BMI, lipid profile, frequency of diabetes, MetS, sedentary lifestyle, smoking, homocysteine, age at diagnosis, levels of complement factor 3 (C3) and C4, use of PRED or HCQ, and frequency of lupus nephritis, antiphospholipid syndrome, or proteinuria higher than 0.5 g/24 h.

Multivariable analysis

Results of these analyses are summarized in Table 5. PWV (95% CI 0.028–0.188) and CKD (95% CI 0.052–0.644) were independently associated with nocturnal HTN whereas SLE duration only tended to be associated (p = 0.085). The 3 variables together accounted for 22% of its variance (adjusted R2 = 0.220; Table 5) and 20% (adjusted R2 = 0.196) when SLE duration was excluded from the model. On the one hand, the robustness of the planned model was supported by a secondary analysis that found no other potential explanatory variables (SELENA-SLEDAI, BMI, PRED use, MetS, lipid profile) that met the criteria to be included into the model. On the other hand, PWV (95% CI 0.002–1.198) and SELENA-SLEDAI (95% CI 0.013–0.113) emerged as independent factors associated with nondipper pattern. These factors together with CKD (p = 0.064) accounted for ∼13% of its variance (adjusted R2 = 0.127) and 8.5% when CKD was excluded (adjusted R2 = 0.085). The inclusion of other variables did not improve the adjusted R2 of the model and did not change variables independently associated with nondipper pattern.

View this table:
  • View inline
  • View popup
Table 5.

Multivariable analysis for nocturnal HTN and nondipper pattern. Variables included in the multivariable analysis for nocturnal HTN were age, SDI, PWV, disease duration, CKD, and nocturnal HTN; and for nondipper pattern were age, SLICC/ACR-DI, SLEDAI, PWV, CKD, and use of prednisone.

DISCUSSION

For the first time to our knowledge, we have documented that women with SLE have an altered nighttime pattern and BP values compared with controls. In our study, they were more likely to be nondipper, to have more nocturnal HTN (mainly isolated nighttime HTN), to have higher nighttime BP levels, and to experience a lower nighttime BP decline. In contrast, daytime patterns and diurnal BP values were similar to those observed in controls. In addition, PWV was found to be a factor independently associated with both nondipper pattern and nocturnal HTN in women with SLE.

These findings may be of relevance since the nocturnal HTN and nondipper profile have been separately associated in the general population with an increased risk of CVD and CV mortality12,13,14,15. Additionally, in a recent study, the concomitant presence of both factors was associated with a worse CV risk profile than each one separately23. In an international register, 577 patients with isolated nighttime HTN had a higher risk of all-cause mortality (HR 1.29) and all CV events (HR 1.36) after adjustment for the classical CV risk factors24. Consequently, the fact that patients with SLE are more likely to have a harmful nighttime pattern could constitute an additional CV risk, which has not been taken into consideration to date, since the ABPM is not a technique routinely used in patients with SLE.

The frequency of nondipper pattern among our controls was 42%, similar (50%) to that reported in postmenopausal women without coronary artery disease25. Also, the frequency of isolated nocturnal HTN and isolated daytime HTN in our controls were 6.2% and 4.6%, which is also similar to that observed in Western European countries (6.0% and 9.1%)26. This agreement in the results found in the control group reinforce those obtained in patients with SLE.

The concordance between the diagnosis of office and ambulatory HTN in both the SLE and control groups was modest. Thus, out of 12 patients with isolated nighttime HTN, only 3 (25%) had also been diagnosed as having office HTN (with BP controlled but on BP-lowering treatment). In other words, if we had measured only office BP, 75% of patients with isolated nighttime HTN would have been classified as normotensives. Similarly, out of 50 women with SLE classified as normotensives according to the office BP definition, 9 (18%) had true HTN according to the ABPM criteria. These results suggest that ABPM could be useful in the assessment of CV risk in patients with SLE to identify those with distorted nighttime BP profiles but with normal office BP.

In our study, PWV emerged as a factor independently associated with both nondipper pattern and nocturnal HTN in women with SLE, suggesting that both conditions separately or in combination could contribute to the increased atherosclerosis burden observed in these patients. These associations have also been reported in hypertensive individuals27 in other diseases such as diabetes28 and in diverse ethnicities29,30. Nevertheless, circadian BP variations and their association with subclinical atherosclerosis have been poorly investigated in patients with SLE. To the best of our knowledge, the association between ABPM values, subclinical atherosclerosis, and left ventricular hypertrophy has only been evaluated in 1 small study with 24 patients with juvenile-onset SLE below the age of 21 years16. In this study, nighttime SBP positively correlated with PWV and inversely with carotid artery distensibility; also, carotid intima-media thickness significantly correlated with nighttime DBP. In line with our study, these results seem to support the harmful effect of elevated nighttime BP values on subclinical atherosclerosis in SLE, even in younger patients.

Our findings could also have therapeutic implications. Scheduling antihypertensive drugs (especially renin-angiotensin system antagonists)31 at bedtime as opposed to morning has shown to increase the proportion of patients with properly controlled BP, improving the nighttime BP pattern and reducing urinary albumin excretion32. Thus, in a prospective study with 448 hypertensive patients with diabetes, bedtime treatment with at least 1 BP-lowering agent improved ABPM control and reduced CV morbidity and mortality33. Whether this therapeutic strategy, besides improving CV outcomes, also reduces albuminuria in patients with lupus nephritis is worth investigating.

CKD was independently associated with nocturnal HTN and tended to be associated with nondipper pattern in women with SLE. In general, patients with renal dysfunction frequently have an altered circadian rhythm with an increased rate of nondipping and nocturnal HTN. In fact, the prevalence of nondippers increases progressively as the stage of CKD progresses34. A population-based study in patients with CKD showed that ambulatory SBP was significantly elevated, mainly during the hours of nighttime sleep, regardless of the presence or absence of BP-lowering treatment35. Moreover, among the uncontrolled hypertensive patients with CKD, 90% had nocturnal HTN35. In our study, a history of lupus nephritis was not found to be more frequent in nondipper patients or in those with nocturnal HTN, perhaps because most patients with lupus nephritis did not develop CKD. Finally, the nighttime SBP correlated with 24-h urinary protein excretion in patients with diabetic nephropathy36. In our study, proteinuria in women with SLE was independent of nondipping or nocturnal HTN status.

Moreover, we found that SLE activity measured by SELENA-SLEDAI was independently associated with nondipper pattern. Because of the lack of data in the literature and the design of our study, we cannot establish how SELENA-SLEDAI may promote this phenomenon. However, we can speculate that disease activity is closely related to the use of glucocorticoids, which affect electrolyte balance, fluid retention, and increased BP and cardiac output, all of them related to the circadian BP regulation37. Hypercorticism has been consistently associated with nondipper pattern in patients with Cushing syndrome38. However, no differences in the use or dose of PRED was found between dipper and nondipper women with SLE.

The frequency of white-coat and masked HTN were similar in both groups, and comparable with those reported in the Spanish population39. In contrast with white-coat HTN, several studies have shown that the CVD risk in patients with masked HTN was similar to that found in patients with sustained HTN40. In our study, the frequency of masked HTN in women with SLE was 16%. Although this proportion is modest, because of the elevated CVD risk reported in SLE, ABPM may be justified to identify these patients.

Some limitations should be considered. The effects of daytime physical activity and nighttime sleep quality on BP dipping were not taken into account. BP-lowering medications were removed only 24 h before ABPM and a possible residual antihypertensive effect could persist, especially during the daytime period. ABPM was performed only once and there are possible doubts about the reproducibility of the results. In this sense, the reproducibility of nocturnal HTN and the nocturnal nondipping was only moderate (κ ≥ 0.46 and ≥ 0.38, respectively) in a placebo-controlled clinical trial in which ABPM was determined twice separated by 4 to 8 weeks41. Despite that PWV was higher in patients with SLE, no significant differences were observed, probably because the controls were slightly older. As a consequence of the relatively small size of the cohort, some statistical significance could not be reached because of a lack of statistical power. In addition, given the characteristics of the study sample (mainly young, female, SLE outpatients with low disease activity and damage who received low PRED doses and very few immunosuppressive drugs) the results obtained cannot be generalized for all patients with SLE. Finally, given that ours was a cross-sectional study, conclusions can only be used for hypothesis generation and not as proof of causality.

Nighttime BP abnormalities were common in women with SLE. In particular, nocturnal HTN and nondipper pattern were associated with a higher PWV, a predictor of CVD. Since these alterations cannot be detected by means of conventional office BP measurement, ABPM could be a useful tool for the assessment and stratification of CV risk in patients with SLE. Further studies are needed to evaluate the reproducibility of these results.

  • Accepted for publication August 31, 2015.

REFERENCES

  1. 1.↵
    1. Manzi S,
    2. Meilahn EN,
    3. Rairie JE,
    4. Conte CG,
    5. Medsger TA Jr,
    6. Jansen-McWilliams L,
    7. 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.
    OpenUrlAbstract/FREE Full Text
  2. 2.↵
    1. Gustafsson JT,
    2. Svenungsson E
    . Definitions of and contributions to cardiovascular disease in systemic lupus erythematosus. Autoimmunity 2014;47:67–76.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Urowitz MB,
    2. Gladman D,
    3. Ibañez D,
    4. Bae SC,
    5. Sanchez-Guerrero J,
    6. Gordon C,
    7. et al;
    8. Systemic Lupus International Collaborating Clinics
    . Atherosclerotic vascular events in a multinational inception cohort of systemic lupus erythematosus. Arthritis Care Res 2010;62:881–7.
    OpenUrlCrossRef
  4. 4.↵
    1. Sabio JM,
    2. Vargas-Hitos JA,
    3. Navarrete-Navarrete N,
    4. Mediavilla JD,
    5. Jiménez-Jáimez J,
    6. Díaz-Chamorro A,
    7. et al;
    8. Grupo Lupus Virgen de las Nieves
    . Prevalence of and factors associated with hypertension in young and old women with systemic lupus erythematosus. J Rheumatol 2011;38:1026–32.
    OpenUrlAbstract/FREE Full Text
  5. 5.↵
    1. Sabio JM,
    2. Vargas-Hitos JA,
    3. Martinez-Bordonado J,
    4. Navarrete-Navarrete N,
    5. Díaz-Chamorro A,
    6. Olvera-Porcel C,
    7. et al.
    Relationship between homocysteine levels and hypertension in systemic lupus erythematosus. Arthritis Care Res 2014;66:1528–35.
    OpenUrlCrossRef
  6. 6.↵
    1. Ryan MJ
    . The pathophysiology of hypertension in systemic lupus erythematosus. Am J Physiol Regul Integr Comp Physiol 2009;296:R1258–67.
    OpenUrlAbstract/FREE Full Text
  7. 7.↵
    1. Karp I,
    2. Abrahamowicz M,
    3. Fortin PR,
    4. Pilote L,
    5. Neville C,
    6. Pineau CA,
    7. et al.
    Recent corticosteroid use and recent disease activity: independent determinants of coronary heart disease risk factors in systemic lupus erythematosus? Arthritis Rheum 2008;59:169–75.
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. Gómez-Guzmán M,
    2. Jiménez R,
    3. Romero M,
    4. Sánchez M,
    5. Zarzuelo MJ,
    6. Gómez-Morales M,
    7. et al.
    Chronic hydroxychloroquine improves endothelial dysfunction and protects kidney in a mouse model of systemic lupus erythematosus. Hypertension 2014;64:330–7.
    OpenUrlCrossRef
  9. 9.↵
    1. Vlachoyiannopoulos PG,
    2. Karassa FB,
    3. Karakostas KX,
    4. Drosos AA,
    5. Moutsopoulos HM
    . Systemic lupus erythematosus in Greece. Clinical features, evolution and outcome: a descriptive analysis of 292 patients. Lupus 1993;2:303–12.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Chaiamnuay S,
    2. Bertoli AM,
    3. Roseman JM,
    4. McGwin G,
    5. Apte M,
    6. Durán S,
    7. et al.
    African-American and Hispanic ethnicities, renal involvement and obesity predispose to hypertension in systemic lupus erythematosus: results from LUMINA, a multiethnic cohort (LUMINAXLV). Ann Rheum Dis 2007;66:618–22.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    1. Sega R,
    2. Facchetti R,
    3. Bombelli M,
    4. Cesana G,
    5. Corrao G,
    6. Grassi G,
    7. et al.
    Prognostic value of ambulatory and home blood pressures compared with office blood pressure in the general population: follow-up results from the Pressioni Arteriose Monitorate e Loro Associazioni (PAMELA) study. Circulation 2005;111:1777–83.
    OpenUrlAbstract/FREE Full Text
  12. 12.↵
    1. Hansen TW,
    2. Li Y,
    3. Boggia J,
    4. Thijs L,
    5. Richart T,
    6. Staessen JA
    . Predictive role of the nighttime blood pressure. Hypertension 2011;57:3–10.
    OpenUrlCrossRef
  13. 13.↵
    1. de la Sierra A,
    2. Redon J,
    3. Banegas JR,
    4. Segura J,
    5. Parati G,
    6. Gorostidi M,
    7. et al;
    8. Spanish Society of Hypertension Ambulatory Blood Pressure Monitoring Registry Investigators
    . Prevalence and factors associated with circadian blood pressure patterns in hypertensive patients. Hypertension 2009;53:466–72.
    OpenUrlCrossRef
  14. 14.↵
    1. Hoshide S,
    2. Kario K,
    3. Hoshide Y,
    4. Umeda Y,
    5. Hashimoto T,
    6. Kunii O,
    7. et al.
    Associations between nondipping of nocturnal blood pressure decrease and cardiovascular target organ damage in strictly selected community-dwelling normotensives. Am J Hypertens 2003;16:434–8.
    OpenUrlAbstract/FREE Full Text
  15. 15.↵
    1. Boggia J,
    2. Thijs L,
    3. Hansen TW,
    4. Li Y,
    5. Kikuya M,
    6. Björklund-Bodegård K,
    7. et al;
    8. International Database on Ambulatory blood pressure in relation to Cardiovascular Outcomes Investigators
    . Ambulatory blood pressure monitoring in 9357 subjects from 11 populations highlights missed opportunities for cardiovascular prevention in women. Hypertension 2011;57:397–405.
    OpenUrlCrossRef
  16. 16.↵
    1. Canpolat N,
    2. Kasapcopur O,
    3. Caliskan S,
    4. Gokalp S,
    5. Bor M,
    6. Tasdemir M,
    7. et al.
    Ambulatory blood pressure and subclinical cardiovascular disease in patients with juvenile-onset systemic lupus erythematosus. Pediatr Nephrol 2013;28:305–13.
    OpenUrlCrossRefPubMed
  17. 17.↵
    1. Mitchell GF,
    2. Hwang SJ,
    3. Vasan RS,
    4. Larson MG,
    5. Pencina MJ,
    6. Hamburg NM,
    7. et al.
    Arterial stiffness and cardiovascular events: the Framingham Heart Study. Circulation 2010;121:505–11.
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    1. Zieman SJ,
    2. Melenovsky V,
    3. Kass DA
    . Mechanisms, pathophysiology, and therapy of arterial stiffness. Arterioscler Thromb Vasc Biol 2005;25:932–43.
    OpenUrlAbstract/FREE Full Text
  19. 19.↵
    1. Parati G,
    2. Stergiou GS,
    3. Asmar R,
    4. Bilo G,
    5. de Leeuw P,
    6. Imai Y,
    7. et al;
    8. ESH Working Group on Blood Pressure Monitoring
    . European Society of Hypertension guidelines for blood pressure monitoring at home: a summary report of the Second International Consensus Conference on Home Blood Pressure Monitoring. J Hypertens 2008;26:1505–26.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. National Kidney Foundation
    . K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002;39 Suppl 1:S1–266.
    OpenUrlCrossRefPubMed
  21. 21.↵
    1. Petri M,
    2. Kim MY,
    3. Kalunian KC,
    4. Grossman J,
    5. Hahn BH,
    6. Sammaritano LR,
    7. et al.
    Combined oral contraceptives in women with systemic lupus erythematosus. N Engl J Med 2005;353:2550–8.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Gladman DD,
    2. Urowitz MB,
    3. Goldsmith CH,
    4. Fortin P,
    5. Ginzler E,
    6. Gordon C,
    7. et al.
    The reliability of the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index in patients with systemic lupus erythematosus. Arthritis Rheum 1997;40:809–13.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. de la Sierra A,
    2. Gorostidi M,
    3. Banegas JR,
    4. Segura J,
    5. de la Cruz JJ,
    6. Ruilope LM
    . Nocturnal hypertension or nondipping: which is better associated with the cardiovascular risk profile? Am J Hypertens 2014;27:680–7.
    OpenUrlAbstract/FREE Full Text
  24. 24.↵
    1. Fan HQ,
    2. Li Y,
    3. Thijs L,
    4. Hansen TW,
    5. Boggia J,
    6. Kikuya M,
    7. et al;
    8. International Database on Ambulatory Blood Pressure In Relation to Cardiovascular Outcomes Investigators
    . Prognostic value of isolated nocturnal hypertension on ambulatory measurement in 8711 individuals from 10 populations. J Hypertens 2010;28:2036–45.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Sherwood A,
    2. Bower JK,
    3. Routledge FS,
    4. Blumenthal JA,
    5. McFetridge-Durdle JA,
    6. Newby LK,
    7. et al.
    Nighttime blood pressure dipping in postmenopausal women with coronary heart disease. Am J Hypertens 2012;25:1077–82.
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    1. Li Y,
    2. Wang JG
    . Isolated nocturnal hypertension. A disease masked in the dark. Hypertension 2013;61:278–83.
    OpenUrlCrossRef
  27. 27.↵
    1. Syrseloudis D,
    2. Tsioufis C,
    3. Andrikou I,
    4. Mazaraki A,
    5. Thomopoulos C,
    6. Mihas C,
    7. et al.
    Association of nighttime hypertension with central arterial stiffness and urinary albumin excretion in dipper hypertensive subjects. Hypertens Res 2011;34:120–5.
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Wijkman M,
    2. Länne T,
    3. Engvall J,
    4. Lindström T,
    5. Ostgren CJ,
    6. Nystrom FH
    . Masked nocturnal hypertension—a novel marker of risk in type 2 diabetes. Diabetologia 2009;52:1258–64.
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Maseko MJ,
    2. Woodiwiss AJ,
    3. Libhaber CD,
    4. Brooksbank R,
    5. Majane OH,
    6. Norton GR
    . Relations between White coat effects and left ventricular mass index or arterial stiffness: role of nocturnal blood pressure dipping. Am J Hypertens 2013;26:1287–94.
    OpenUrlAbstract/FREE Full Text
  30. 30.↵
    1. Li Y,
    2. Staessen JA,
    3. Lu L,
    4. Li LH,
    5. Wang GL,
    6. Wang JG
    . Is isolated nocturnal hypertension a novel clinical entity? Findings from a Chinese population study. Hypertension 2007;50:333–9.
    OpenUrlCrossRef
  31. 31.↵
    1. Hermida RC,
    2. Ayala DE,
    3. Fernández JR,
    4. Portaluppi F,
    5. Fabbian F,
    6. Smolensky MH
    . Circadian rhythms in blood pressure regulation and optimization of hypertension treatment with ACE inhibitor and ARB medications. Am J Hypertens 2011;24:383–91.
    OpenUrlAbstract/FREE Full Text
  32. 32.↵
    1. Smolensky MH,
    2. Hermida RC,
    3. Ayala DE,
    4. Tiseo R,
    5. Portaluppi F
    . Administration-time-dependent effects of blood pressure-lowering medications: basis for the chronotherapy of hypertension. Blood Press Monit 2010;15:173–80.
    OpenUrlCrossRefPubMed
  33. 33.↵
    1. Hermida RC,
    2. Ayala DE,
    3. Mojón A,
    4. Fernández JR
    . Influence of time of day of blood pressure-lowering treatment on cardiovascular risk in hypertensive patients with type 2 diabetes. Diabetes Care 2011;34:1270–6.
    OpenUrlAbstract/FREE Full Text
  34. 34.↵
    1. Cohen DL,
    2. Huan Y,
    3. Townsend RR
    . Ambulatory blood pressure in chronic kidney disease. Curr Hypertens Rep 2013;15:160–6.
    OpenUrlCrossRefPubMed
  35. 35.↵
    1. Mojón A,
    2. Ayala DE,
    3. Piñeiro L,
    4. Otero A,
    5. Crespo JJ,
    6. Moyá A,
    7. et al.
    Comparison of ambulatory blood pressure parameters of hypertensive patients with and without chronic kidney disease. Chronobiol Int 2013;30:145–58.
    OpenUrlCrossRefPubMed
  36. 36.↵
    1. Li J,
    2. Wang F,
    3. Jian G,
    4. Ma N,
    5. Fan Y,
    6. Yu G,
    7. et al.
    Analysis of 24-hour ambulatory blood pressure monitoring in patients with diabetic nephropathy: a hospital-based study. Clin Nephrol 2013;79:199–205.
    OpenUrlCrossRefPubMed
  37. 37.↵
    1. Fabbian F,
    2. Smolensky MH,
    3. Tiseo R,
    4. Pala M,
    5. Manfredini R,
    6. Portaluppi F
    . Dipper and non-dipper blood pressure 24-hour patterns: circadian rhythm-dependent physiologic and pathophysiologic mechanisms. Chronobiol Int 2013;30:17–30.
    OpenUrlCrossRefPubMed
  38. 38.↵
    1. Pecori Giraldi F,
    2. Toja PM,
    3. De Martin M,
    4. Maronati A,
    5. Scacchi M,
    6. Omboni S,
    7. et al.
    Circadian blood pressure profile in patients with active Cushing’s disease and after long-term cure. Horm Metab Res 2007;39:908–14.
    OpenUrlCrossRefPubMed
  39. 39.↵
    1. Gorostidi M,
    2. Vinyoles E,
    3. Banegas JR,
    4. de la Sierra A
    . Prevalence of white-coat and masked hypertension in national and international registries. Hypertens Res 2015;38:1–7.
    OpenUrlCrossRefPubMed
  40. 40.↵
    1. Pierdomenico SD,
    2. Cuccurullo F
    . Prognostic value of white-coat and masked hypertension diagnosed by ambulatory monitoring in initially untreated subjects: an updated meta analysis. Am J Hypertens 2011;24:52–8.
    OpenUrlAbstract/FREE Full Text
  41. 41.↵
    1. White WB,
    2. Larocca GM
    . Improving the utility of the nocturnal hypertension definition by using absolute sleep blood pressure rather than the “dipping” proportion. Am J Cardiol 2003;92:1439–41.
    OpenUrlCrossRefPubMed
PreviousNext
Back to top

In this issue

The Journal of Rheumatology
Vol. 42, Issue 12
1 Dec 2015
  • Table of Contents
  • Table of Contents (PDF)
  • Index by Author
  • Editorial Board (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word about The Journal of Rheumatology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Nighttime Blood Pressure Patterns and Subclinical Atherosclerosis in Women with Systemic Lupus Erythematosus
(Your Name) has forwarded a page to you from The Journal of Rheumatology
(Your Name) thought you would like to see this page from the The Journal of Rheumatology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Nighttime Blood Pressure Patterns and Subclinical Atherosclerosis in Women with Systemic Lupus Erythematosus
José Mario Sabio, Josefina Martinez-Bordonado, Isabel Sánchez-Berná, José Antonio Vargas-Hitos, Juan Diego Mediavilla, Nuria Navarrete-Navarrete, Mónica Zamora-Pasadas, Manuela Expósito Ruíz, Juan Jiménez-Alonso
The Journal of Rheumatology Dec 2015, 42 (12) 2310-2317; DOI: 10.3899/jrheum.150531

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

 Request Permissions

Share
Nighttime Blood Pressure Patterns and Subclinical Atherosclerosis in Women with Systemic Lupus Erythematosus
José Mario Sabio, Josefina Martinez-Bordonado, Isabel Sánchez-Berná, José Antonio Vargas-Hitos, Juan Diego Mediavilla, Nuria Navarrete-Navarrete, Mónica Zamora-Pasadas, Manuela Expósito Ruíz, Juan Jiménez-Alonso
The Journal of Rheumatology Dec 2015, 42 (12) 2310-2317; DOI: 10.3899/jrheum.150531
del.icio.us logo Twitter logo Facebook logo  logo Mendeley logo
  • Tweet Widget
  •  logo
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Keywords

SYSTEMIC LUPUS ERYTHEMATOSUS
HYPERTENSION
ATHEROSCLEROSIS
AMBULATORY BLOOD PRESSURE MONITORING
NONDIPPER PATTERN

Related Articles

Cited By...

More in this TOC Section

  • Multitarget Therapy With Rituximab Plus Mycophenolate Mofetil Versus Rituximab Monotherapy in Systemic Sclerosis–Associated Interstitial Lung Disease
  • Clinical Features and a Nomogram for Predicting Clinical Response in Juvenile Dermatomyositis–Associated Interstitial Lung Disease
  • Who Achieves Minimal and Very Low Disease Activity in Psoriatic Arthritis? An Analysis of the CorEvitas Psoriatic Arthritis/Spondyloarthritis Registry
Show more Article

Similar Articles

Keywords

  • systemic lupus erythematosus
  • HYPERTENSION
  • ATHEROSCLEROSIS
  • AMBULATORY BLOOD PRESSURE MONITORING
  • NONDIPPER PATTERN

Content

  • First Release
  • Current
  • Archives
  • Collections
  • Audiovisual Rheum
  • COVID-19 and Rheumatology

Resources

  • Guide for Authors
  • Submit Manuscript
  • Author Payment
  • Reviewers
  • Advertisers
  • Classified Ads
  • Reprints and Translations
  • Permissions
  • Meetings
  • FAQ
  • Policies

Subscribers

  • Subscription Information
  • Purchase Subscription
  • Your Account
  • Terms and Conditions

More

  • About Us
  • Contact Us
  • My Alerts
  • My Folders
  • Privacy/GDPR Policy
  • RSS Feeds
The Journal of Rheumatology
The content of this site is intended for health care professionals.
Copyright © 2025 by The Journal of Rheumatology Publishing Co. Ltd.
Print ISSN: 0315-162X; Online ISSN: 1499-2752
Powered by HighWire