Open Access Highly Accessed Research article

Comparative effects of non-steroidal anti-inflammatory drugs (NSAIDs) on blood pressure in patients with hypertension

Hisham Aljadhey1*, Wanzhu Tu23, Richard A Hansen4, Susan J Blalock5, D Craig Brater2 and Michael D Murray36

Author Affiliations

1 Medication Safety Research Chair, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia

2 Indiana University School of Medicine, Indianapolis, IN, USA

3 Regenstrief Institute, Inc, Indianapolis, IN, USA

4 Department of Pharmacy Care Systems, Harrison School of Pharmacy, Auburn University, Auburn, AL, USA

5 Division of Pharmaceutical Outcomes & Policy, School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA

6 Purdue University College of Pharmacy, West Lafayette, IN, USA

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BMC Cardiovascular Disorders 2012, 12:93  doi:10.1186/1471-2261-12-93


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2261/12/93


Received:8 June 2012
Accepted:15 October 2012
Published:24 October 2012

© 2012 Aljadhey et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Background

Nonsteroidal anti-inflammatory drugs (NSAIDs) may disrupt control of blood pressure in hypertensive patients and increase their risk of morbidity, mortality, and the costs of care. The objective of this study was to examine the association between incident use of NSAIDs and blood pressure in patients with hypertension.

Methods

We conducted a retrospective cohort study of adult hypertensive patients to determine the effects of their first prescription for NSAID on systolic blood pressure and antihypertensive drug intensification. Data were collected from an electronic medical record serving an academic general medicine practice in Indianapolis, Indiana, USA. Using propensity scores to minimize bias, we matched a cohort of 1,340 users of NSAIDs with 1,340 users of acetaminophen. Propensity score models included covariates likely to affect blood pressure or the use of NSAIDs. The study outcomes were the mean systolic blood pressure measurement after starting NSAIDs and changes in antihypertensive therapy.

Results

Compared to patients using acetaminophen, NSAID users had a 2 mmHg increase in systolic blood pressure (95% CI, 0.7 to 3.3). Ibuprofen was associated with a 3 mmHg increase in systolic blood pressure compared to naproxen (95% CI, 0.5 to 4.6), and a 5 mmHg increase compared to celecoxib (95% CI, 0.4 to 10). The systolic blood pressure increase was 3 mmHg in a subgroup of patients concomitantly prescribed angiotensin converting enzyme inhibitors or calcium channel blockers and 6 mmHg among those prescribed a beta-adrenergic blocker. Blood pressure changes in patients prescribed diuretics or multiple antihypertensives were not statistically significant.

Conclusion

Compared to acetaminophen, incident use of NSAIDs, particularly ibuprofen, is associated with a small increase in systolic blood pressure in hypertensive patients. Effects in patients prescribed diuretics or multiple antihypertensives are negligible.

Keywords:
NSAIDs; Hypertension; Blood pressure; Propensity score

Background

Cardiovascular diseases are the most common cause of death in the world [1], and uncontrolled hypertension is a harbinger of such poor outcomes. Seven million deaths worldwide each year are attributed to hypertension [2], and in the United States alone, about 73 million people, or one in three adults, have high blood pressure. Only 35% of these patients have adequate blood pressure control [3]. Chronic administration of medications that increase blood pressure is presumed to be among a variety of factors responsible for poorly controlled blood pressure that can lead to deleterious cardiovascular effects.

The effect of nonsteroidal anti-inflammatory drugs (NSAIDs) on the incidence of hypertension has been previously investigated [4-8]; however, little information is available about the magnitude of changes in blood pressure in populations of patients chronically taking antihypertensive medications. The effect of NSAIDs on blood pressure has been investigated in clinical trials [9-24] but not observational studies, which are more representative to real-world clinical settings. Therefore, we examined the association between NSAIDs and blood pressure in patients with hypertension who were taking antihypertensive medications. This observational study included incident users of NSAIDs and used propensity scores to minimize selection bias. Using these methods, we aimed to determine the comparative effects on systolic blood pressure of NSAIDs that are commonly used in primary care. Because acetaminophen is an oft-used alternative to NSAIDs, we determined the effects of NSAID relative to acetaminophen. Our objectives were to: (1) examine the association between NSAIDs and blood pressure compared to acetaminophen in patients with hypertension; (2) compare the effects of various NSAIDs on blood pressure in patients with hypertension; and, (3) examine changes in antihypertensive therapy after starting NSAIDs.

Methods

Design and subjects

This retrospective cohort study included adult patients who had received their first prescription for NSAID from the general medicine practice of Wishard Health Services in Indianapolis, Indiana. Wishard is a city-county health center affiliated with the Indiana University School of Medicine. The Regenstrief Medical Record System (RMRS) was used to identify eligible patients within Wishard and to collect data on relevant variables. The RMRS is an electronic medical record system that captures prescriptions, laboratory test results (including electrographic results), and other clinical data [25].

We included incident users in order to prevent under-ascertainment of adverse effects that occur early in treatment [26]. In this design only patients naïve to the study medication are included after the date of their first prescription (index date). Patients were eligible for inclusion if they had received a prescription for any NSAID between 1993 and 2006, were aged 18 years or older, and had a clinical diagnosis of hypertension on the index date. Patients were excluded if they had an active prescription for any NSAID during the year preceding the index date. Included patients had at least one measurement of sitting systolic blood pressure the year after the index date and no changes in their antihypertensive therapy until the measurement of blood pressure. Patients prescribed acetaminophen who met the same criteria described above formed a non-NSAID comparison group. Users of acetaminophen are similar to users of NSAIDs in most characteristics and comorbidities since acetaminophen is usually prescribed as a first line therapy for patients with osteoarthritis [27]. The study was approved by the Institution Review Boards at the University of North Carolina at Chapel Hill and Indiana University-Purdue University at Indianapolis.

Data analysis

Systolic blood pressure measurements were collected one year before and one year after the date of the first prescription for NSAID or acetaminophen. Information was collected on relevant confounders at baseline. The end date of follow-up was defined as one year after the index date or 30 days after the last dispensed prescription, whichever came first.

Propensity score matching was used to prevent selection bias by balancing covariates between comparison groups. Propensity scores estimate the probability of each subject’s exposure to treatment A versus treatment B, based on measured covariates. The score combines all confounding covariates into a single composite factor. Mahalanobis metric matching without replacement was used since it produces a good balance in covariates between comparison groups [28,29]. A caliper of one-quarter of the standard deviation of the propensity score was used in the match. To assess the covariate balance, we used chi-square tests for categorical variables and t-tests for continuous variables. Separate propensity scores were estimated for each comparison. Propensity scores were calculated using SAS PROC LOGISTIC (SAS Institute, Inc., Cary, North Carolina).

After covariate balance, a multiple linear regression model was used to study the effect of NSAIDs on systolic blood pressure and changes in antihypertensive therapy. The primary independent variable was the use of NSAIDs. Covariates unbalanced after propensity score matching were included in the model. Also, the model included the time from index date until blood pressure measurement, since this time occurred after the index date it could not be included in the propensity score matching. Another advantage of using a regression model is that it reduces the standard error and, hence, improves the precision of the estimate [29].

We compared individual commonly used NSAIDs. Non-selective NSAIDs included ibuprofen and naproxen. The effects of naproxen and ibuprofen on blood pressure have not been compared in observational studies of patients using antihypertensive medications. Previous observational studies have not compared the effect of selective COX-2 inhibitors on blood pressure to non-selective NSAIDs. Since celecoxib is the only selective COX-2 inhibitor on the market, it was compared to the non-selective NSAIDs included in this study. We converted the odds ratios and related confidence intervals into relative risks using the conversion formula by Zhang and Yu [30]. We verified the model assumptions for linear regression analysis by examining the residuals of the model for signs of deviation from normality and unequal variability. As expected, the model assumptions were satisfied.

Covariates

Based on previous literature, the models included covariates likely to affect blood pressure or the use of NSAIDs including age, race, gender, and baseline systolic blood pressure. Baseline systolic blood pressure was defined as the last measurement before the index date. The models controlled for the presence of the following diagnoses at the index date: rheumatoid arthritis, osteoarthritis, coronary artery disease or myocardial infarction, stroke (cerebrovascular accident or transient ischemic attack), arrhythmia, asthma or chronic obstructive pulmonary disease, renal insufficiency, cirrhosis with ascites, systemic lupus erythematosus, diabetes mellitus, and congestive heart failure. We controlled for the use of medications known to increase blood pressure including venlafaxine, a high dose of oral glucocorticoids, and the use of oral contraceptives.

To minimize bias introduced by variations in the time between baseline systolic blood pressure assessment and the index date and the time between the index date to the first systolic blood pressure, we included in the models indicator variables for these times and the index year. Variations in exposure to NSAID or acetaminophen were controlled by using the medication possession ratio (MPR) and the number of refills per month. The MPR assesses refill adherence and was calculated by dividing the sum of the days between the last refill and the next expected refill (i.e. days’ supply) by the number of days between the last refill and the next actual refill and then multiplied by 100. For each patient, an average MPR was calculated for the index drug. As a proxy for as-needed versus regular NSAID use, the number of refills per month was included in the model.

Sensitivity analyses were conducted to assess potential variations in exposure to the index drug. In one analysis, the model included the extent of exposure as the dose-MPR interaction. In the other, the analysis was restricted to only those patients who had a blood pressure measurement within 30 days of the index date. These results did not change our conclusions. Furthermore, we examined the dose effect of NSAIDs by stratifying patients into low and high dose groups. Patients who were prescribed less than 75% of the maximum daily dose listed in Facts and Comparisons [31] were included in the low dose category and those prescribed 75% or more were included in the high dose category.

Baseline use of antihypertensive medications was included as covariates in the models. Five groups of antihypertensive medications were formed: beta-adrenergic antagonists, calcium channel blockers (CCBs), diuretics, angiotensin-converting enzyme inhibitors (ACE-I) or angiotensin II receptor antagonists, and other antihypertensive medications. The MPR was used to control for adherence with antihypertensive medications.

Endpoints

The outcomes of the study were the first and average systolic blood pressure measurements after starting NSAIDs, included as a continuous variable, and changes in antihypertensive therapy. Systolic blood pressure was assessed because it is associated with morbidity and mortality more so than diastolic blood pressure and is targeted in the treatment of hypertension [2]. The first blood pressure measurement following the drug index date was selected because physicians change antihypertensive therapy based on this measurement. Although, it was found in the same study population that one blood pressure reading has significant prognostic value [32], the results using an average of all blood pressure measurements were compared to the results when using only a single measurement. To prevent any potential effect of changing antihypertensive therapy on blood pressure, measurements of blood pressure were included only up to the date when the antihypertensive regimen was changed. The outcome was measured within one year of first NSAID prescription. Another analysis was conducted to investigate whether the increase in systolic blood pressure associated with NSAIDs is clinically important. A clinically important increase was defined as systolic blood pressure increase from baseline by at least 20 mmHg since the risk of mortality doubles for such an increase [2,33].

Changes in antihypertensive therapy post-index were considered as intensified when: (1) the dose of any currently prescribed antihypertensive medication was increased; or (2) the patient was started on a new antihypertensive medication from another class.

Results

A total of 3,928 patients prescribed NSAIDs (n=2,181) or acetaminophen (n=1,747) met the inclusion criteria. Before matching on propensity score, many relevant baseline characteristics differed between the NSAID and acetaminophen cohorts (Table 1). Patients in the acetaminophen group were older and had a higher baseline mean systolic blood pressure compared to those in the NSAID group. They were also more likely to have renal insufficiency, congestive heart failure, diabetes, coronary artery disease or myocardial infarction, and stroke than those in the NSAIDs group Figure 1.

Table 1. Comparison of Covariate Balance between NSAIDs and Acetaminophen before and after propensity score matching

thumbnailFigure 1. Study flow chart.

A total of 1,340 patients prescribed NSAIDs were matched to the same number of patients who had been prescribed acetaminophen. Matching on propensity scores balanced all covariates between the two groups (Table 1). Compared to acetaminophen, NSAIDs were associated with a moderate mean increase in systolic blood pressure of 2 mmHg in patients with hypertension (95% confidence interval, 0.7 to 3.3) (Table 2). A prescription for NSAIDs was associated with a 3 mmHg increase in average systolic blood pressure in patients who were concurrently prescribed ACE-I or CCB, and a 6 mmHg increase in those prescribed beta-adrenergic blockers. However, no effect of NSAIDs on blood pressure was found in patients who were concurrently taking diuretics (Table 2). Changes in blood pressure were not associated with NSAIDs in patients prescribed various combinations of two or more antihypertensive medications (Table 2).

Table 2. Difference in systolic blood pressure between NSAIDs and acetaminophen after propensity score matching

Based on their propensity scores, 472 patients from the naproxen group were matched to the same number of patients from the ibuprofen group. Matching on propensity scores resulted in balanced covariates between the two treatment groups. Compared to naproxen, ibuprofen was associated with a 2.5 mmHg increase in average systolic blood pressure (95% confidence interval, 0.5 to 4.6), and ibuprofen was associated with a clinically important increase in systolic blood pressure as defined above (relative risk, 1.47; 95% confidence interval, 1.09 to 1.96). The absolute risk of clinically important blood pressure increase in the ibuprofen group was 20.6% and in the naproxen group it was 14.6% and the calculated number needed to harm was twelve patients.

Ibuprofen was associated with a 5.9 mmHg increase in average systolic blood pressure in patients who were prescribed a beta-adrenergic blocker (95% confidence interval, 0.0 to 11.7; N=130) compared to naproxen (Table 3). A prescription for ibuprofen in patients who were prescribed various combinations of two or more antihypertensive medications was not associated with significant changes in systolic blood pressure (Table 3).

Table 3. Difference in systolic blood pressure between naproxen and ibuprofen after propensity score matching

Dose effects of ibuprofen or naproxen on blood pressure were not statistically significant. A high dose of ibuprofen increased systolic blood pressure, 2.3 mmHg (95% confidence interval, – 1.3 to 5.1) and a high dose of naproxen slightly decreased in systolic blood pressure by – 3.3 mmHg (95% confidence interval, – 9.6 to 3.1).

Based on their propensity scores, 113 patients prescribed celecoxib were matched to 113 patients from the ibuprofen group. A prescription for ibuprofen was associated with a 5.2 mmHg increase in the mean systolic blood pressure compared to celecoxib (95% confidence interval, 0.4 to 10.0) (Table 4). Compared to ibuprofen or naproxen, celecoxib was not associated with a clinically important increase in systolic blood pressure.

Table 4. Difference in systolic blood pressure between celecoxib and ibuprofen or naproxen after propensity score matching

When the outcome was defined as a change in antihypertensive therapy, 2,494 patients in the NSAID group were matched based on their propensity score to the same number of patients in the acetaminophen group. Compared to acetaminophen, receipt of NSAID was not associated with a change in antihypertensive therapy (odds ratio, 0.95; 95% confidence interval, 0.84 to 1.08; p = 0.4).

Discussion

In the current study, patients receiving NSAIDs showed a 2 mmHg increase in systolic blood pressure compared to acetaminophen recipients. The systolic blood pressure increase was 3 mmHg in a sub-sample of those who were concomitantly prescribed ACE-I or CCB and 6 mmHg in those prescribed a beta-adrenergic blocker. Ibuprofen was associated with a systolic blood pressure increase, compared to both naproxen and celecoxib, of 3 and 5 mmHg, respectively. Despite these effects we did not detect significant changes in antihypertensive therapy in the NSAIDs users suggesting clinicians were not noticing these blood pressure changes that were admittedly subtle though sufficient to increase risk.

Similar to the current results, previous studies reported an up to 7 mmHg increase in blood pressure in patients who were stable on beta-adrenergic antagonists and had started NSAID therapy [34,35]. Interestingly, in our study the blood pressure increase associated with NSAIDs was greatest in patients prescribed a beta-adrenergic antagonist compared to other antihypertensive medications. The reason for this variation in blood pressure among antihypertensives could be related to the degree of prostaglandin (PGs) inhibition and the differences among these medications in their antihypertensive mechanisms. A proposed mechanism to explain this effect with beta-adrenergic antagonists is that inhibition of PGs by NSAIDs could increase sensitivity to the vasoconstrictor effects of sympathetic nervous system stimulation. Blocking beta receptors increases this sensitivity to the alpha sympathetic nervous system, resulting in abolishment of the blood pressure lowering effect of beta-adrenergic antagonists [36]. Further, some beta-adrenergic antagonists reduce the glomerular filtration rate [37]. In the long-term, this could increase the sensitivity to blood pressure increases by NSAIDs. This effect has important implications for those patients with heart failure and hypertension who have been prescribed beta-adrenergic antagonists.

The blood pressure increase we observed with NSAIDs in ACE-I users agrees with previous studies that reported a 5 to 10 mmHg increase in systolic blood pressure [13,18,19,23]. The inhibition of PGs by NSAIDs is proposed as the mechanism that explains the loss of the blood pressure lowering effect of ACE-I. Because PGs mediate the antihypertensive effect of ACE-I at least in part, inhibition of PGs by NSAIDs could disrupt the blood pressure control achieved by ACE-I [19,22,38]. These observations may be particularly important in patients with diabetes. Antihypertensive treatment is often intensified in patients with diabetes mellitus [39]; in addition, patients with diabetes mellitus who are diagnosed with hypertension are more likely to receive an ACE-I rather than other antihypertensive medications to preserve renal function. Therefore, it is important to monitor blood pressure closely in diabetic patients who are prescribed NSAIDs to ensure adequate blood pressure control.

No statistically significant changes in systolic blood pressure were associated with a prescription for NSAID in patients who were prescribed multiple antihypertensive medications. This can be explained by small sample size in some of these combinations. Because some of the combinations with beta-adrenergic blockers involved only small number of patients, it is possible that this study was not powered to detect small effects.

Similar to previous studies [10,11], the current study found no effect of NSAIDs on blood pressure in patients who were using diuretics. Current hypertension guidelines recommend starting patients on thiazide diuretics because they are associated with better clinical outcomes and lower mortality rates than other antihypertensive medications [2]. In addition, diuretics are often less expensive than other antihypertensive medications. The absence of an effect of NSAIDs is further reinforcement for use of diuretics to control blood pressure in patients who were using NSAIDs.

The results of the current study may have some clinical implications. Blood pressure is often poorly controlled in hypertensive patients [3], Our results raise the prospect that NSAID use contributes to that poor control found in numerous epidemiologic surveys. It is possible that more attention to the effects of NSAIDs on maintaining or achieving blood pressure control could lower morbidity and mortality and in so doing reduce health care costs [40]. For example, it was estimated that in the United States achieving or maintaining blood pressure control in users of selective COX-2 inhibitors would prevent more than 70,000 deaths from stroke and 60,000 others from coronary heart disease; such control would also result in direct health care cost savings of more than 3.8 billion dollars [40]. The small increase in systolic blood pressure associated with NSAIDs seen in this study may not affect a physician’s decision to change antihypertensive therapy. However, in the long-term, such an increase could be associated with significant comorbidity consequences. For example, decreasing systolic blood pressure by just 2 mmHg lowers stroke mortality by 10% and ischemic heart disease mortality by 7% [41]. Future studies are needed to assess the long term effect of such small increase in blood pressure.

This study has limitations that should be considered when interpreting the results. Patients included in this study came from a single health system and may not be representative of other practices. Hence, this study should be replicated in other clinical settings. Although propensity score matching balances many covariates at baseline, unobserved covariates could still differ between the groups. Bias is a threat to the validity of these results especially when comparing NSAID and acetaminophen groups. Acetaminophen has mild pressor effects that may have dampened the relative effects of NSAID [42]. Nonetheless, acetaminophen is often used as an alternative to NSAIDs and we therefore believed it was a reasonable non-NSAID comparator. Finally, several NSAIDs are available over the counter (OTC) as well as by prescription and this database captures only the use of prescription NSAIDs. However, because patients included in this study were provided with needed OTC NSAIDs through a prescription assistance program, it is less likely that they would have purchased additional OTC NSAIDs. Furthermore, sensitivity analysis research suggests that missing OTC drug exposure is not a significant source of bias [43].

In conclusion, compared to acetaminophen, incident use of NSAIDs (particularly ibuprofen) is associated with a small increase in systolic blood pressure in hypertensive patients. Effects in patients prescribed diuretics or multiple antihypertensives are negligible.

Competing interest

The author(s) declare that they have no competing interests.

Authors’ contribution

All authors contributed to the study idea, design, and methods. HA carried out the statistical analyses and drafted the manuscript. All authors contributed to the manuscript writing. All authors reviewed and edited the final version of the manuscript. All authors read and approved the final manuscript.

Acknowledgement

This study was funded partially by the National Plan for Science and Technology (09-BIO708-02).

References

  1. Yach D, Hawkes C, Gould CL, Hofman KJ: The global burden of chronic diseases: overcoming impediments to prevention and control.

    JAMA 2004, 291(21):2616-2622. PubMed Abstract | Publisher Full Text OpenURL

  2. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al.: Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure.

    Hypertension 2003, 42(6):1206-1252. PubMed Abstract | Publisher Full Text OpenURL

  3. American Heart Association:

    High Blood Pressure Statistics. 2008.

    Available at: http://www.americanheart.org/presenter.jhtml?identifier=2139 webcite. Accessed 01/15/2008

    OpenURL

  4. Johnson AG, Simons LA, Simons J, Friedlander Y, McCallum J: Non-steroidal anti-inflammatory drugs and hypertension in the elderly: a community-based cross-sectional study.

    Br J Clin Pharmacol 1993, 35(5):455-459. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  5. Dedier J, Stampfer MJ, Hankinson SE, Willett WC, Speizer FE, Curhan GC: Nonnarcotic analgesic use and the risk of hypertension in US women.

    Hypertension 2002, 40(5):604-608. PubMed Abstract | Publisher Full Text OpenURL

  6. Kurth T, Hennekens CH, Sturmer T, Sesso HD, Glynn RJ, Buring JE, et al.: Analgesic use and risk of subsequent hypertension in apparently healthy men.

    Arch Intern Med 2005, 165(16):1903-1909. PubMed Abstract | Publisher Full Text OpenURL

  7. Solomon DH, Schneeweiss S, Levin R, Avorn J: Relationship between COX-2 specific inhibitors and hypertension.

    Hypertension 2004, 44(2):140-145. PubMed Abstract | Publisher Full Text OpenURL

  8. Wang J, Mullins CD, Mamdani M, Rublee DA, Shaya FT: New diagnosis of hypertension among celecoxib and nonselective NSAID users: a population-based cohort study.

    Ann Pharmacother 2007, 41(6):937-943. PubMed Abstract | Publisher Full Text OpenURL

  9. Whelton A, Fort JG, Puma JA, Normandin D, Bello AE, Verburg KM: Cyclooxygenase-2--specific inhibitors and cardiorenal function: a randomized, controlled trial of celecoxib and rofecoxib in older hypertensive osteoarthritis patients.

    Am J Ther 2001, 8(2):85-95. PubMed Abstract | Publisher Full Text OpenURL

  10. Davies JG, Rawlins DC, Busson M: Effect of ibuprofen on blood pressure control by propranolol and bendrofluazide.

    J Int Med Res 1988, 16(3):173-181. PubMed Abstract OpenURL

  11. Wright JT, McKenney JM, Lehany AM, Bryan DL, Cooper LW, Lambert CM: The effect of high-dose short-term ibuprofen on antihypertensive control with hydrochlorothiazide.

    Clin Pharmacol Ther 1989, 46(4):440-444. PubMed Abstract | Publisher Full Text OpenURL

  12. Klassen D, Goodfriend TL, Schuna AA, Young DY, Peterson CA: Assessment of blood pressure during treatment with naproxen or ibuprofen in hypertensive patients treated with hydrochlorothiazide.

    J Clin Pharmacol 1993, 33(10):971-978. PubMed Abstract | Publisher Full Text OpenURL

  13. Polonia J, Boaventura I, Gama G, Camoes I, Bernardo F, Andrade P, et al.: Influence of non-steroidal anti-inflammatory drugs on renal function and 24h ambulatory blood pressure-reducing effects of enalapril and nifedipine gastrointestinal therapeutic system in hypertensive patients.

    J Hypertens 1995, 13(8):925-931. PubMed Abstract | Publisher Full Text OpenURL

  14. Houston MC, Weir M, Gray J, Ginsberg D, Szeto C, Kaihlenen PM, et al.: The effects of nonsteroidal anti-inflammatory drugs on blood pressures of patients with hypertension controlled by verapamil.

    Arch Intern Med 1995, 155(10):1049-1054. PubMed Abstract | Publisher Full Text OpenURL

  15. Klassen DK, Jane LH, Young DY, Peterson CA: Assessment of blood pressure during naproxen therapy in hypertensive patients treated with nicardipine.

    Am J Hypertens 1995, 8(2):146-153. PubMed Abstract | Publisher Full Text OpenURL

  16. Gurwitz JH, Everitt DE, Monane M, Glynn RJ, Choodnovskiy I, Beaudet MP, et al.: The impact of ibuprofen on the efficacy of antihypertensive treatment with hydrochlorothiazide in elderly persons.

    J Gerontol A Biol Sci Med Sci 1996, 51(2):M74-M79. PubMed Abstract OpenURL

  17. Olsen ME, Thomsen T, Hassager C, Ibsen H, Dige-Petersen H: Hemodynamic and renal effects of indomethacin in losartan-treated hypertensive individuals.

    Am J Hypertens 1999, 12(2):209-216. PubMed Abstract | Publisher Full Text OpenURL

  18. Morgan TO, Anderson A, Bertram D: Effect of indomethacin on blood pressure in elderly people with essential hypertension well controlled on amlodipine or enalapril.

    Am J Hypertens 2000, 13(11):1161-1167. PubMed Abstract | Publisher Full Text OpenURL

  19. Fogari R, Zoppi A, Carretta R, Veglio F, Salvetti A: Effect of indomethacin on the antihypertensive efficacy of valsartan and lisinopril: a multicentre study.

    J Hypertens 2002, 20(5):1007-1014. PubMed Abstract | Publisher Full Text OpenURL

  20. Whelton A, White WB, Bello AE, Puma JA, Fort JG: Effects of celecoxib and rofecoxib on blood pressure and edema in patients > or =65 years of age with systemic hypertension and osteoarthritis.

    Am J Cardiol 2002, 90(9):959-963. PubMed Abstract | Publisher Full Text OpenURL

  21. White WB, Kent J, Taylor A, Verburg KM, Lefkowith JB, Whelton A: Effects of celecoxib on ambulatory blood pressure in hypertensive patients on ACE inhibitors.

    Hypertension 2002, 39(4):929-934. PubMed Abstract | Publisher Full Text OpenURL

  22. Palmer R, Weiss R, Zusman RM, Haig A, Flavin S, MacDonald B: Effects of nabumetone, celecoxib, and ibuprofen on blood pressure control in hypertensive patients on angiotensin converting enzyme inhibitors.

    Am J Hypertens 2003, 16(2):135-139. PubMed Abstract | Publisher Full Text OpenURL

  23. Izhar M, Alausa T, Folker A, Hung E, Bakris GL: Effects of COX inhibition on blood pressure and kidney function in ACE inhibitor-treated blacks and hispanics.

    Hypertension 2004, 43(3):573-577. PubMed Abstract | Publisher Full Text OpenURL

  24. Sowers JR, White WB, Pitt B, Whelton A, Simon LS, Winer N, et al.: The Effects of cyclooxygenase-2 inhibitors and nonsteroidal anti-inflammatory therapy on 24-hour blood pressure in patients with hypertension, osteoarthritis, and type 2 diabetes mellitus.

    Arch Intern Med 2005, 165(2):161-168. PubMed Abstract | Publisher Full Text OpenURL

  25. Murray MD, Smith FE, Fox J, Teal EY, Kesterson JG, Stiffler TA, et al.: Structure, functions, and activities of a research support informatics section.

    J Am Med Inform Assoc 2003, 10(4):389-398. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  26. Ray WA: Evaluating medication effects outside of clinical trials: new-user designs.

    Am J Epidemiol 2003, 158(9):915-920. PubMed Abstract | Publisher Full Text OpenURL

  27. American College of Rheumatology Subcommittee on Osteoarthritis Guidelines: Recommendations for the medical management of osteoarthritis of the hip and knee: 2000 update.

    Arthritis Rheum 2000, 43(9):1905-1915. PubMed Abstract | Publisher Full Text OpenURL

  28. D’Agostino RB Jr: Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

    Stat Med 1998, 17(19):2265-2281. PubMed Abstract | Publisher Full Text OpenURL

  29. Baser O: Too much ado about propensity score models? Comparing methods of propensity score matching.

    Value Health 2006, 9(6):377-385. PubMed Abstract | Publisher Full Text OpenURL

  30. Zhang J, Yu KF: What’s the Relative Risk.

    JAMA 1998, 280(19):1690-1691. PubMed Abstract | Publisher Full Text OpenURL

  31. Drug Facts and Comparisons: Facts & Comparisons 4.0. St. Louis, Mo: Wolters Kluwer Health; 2001. PubMed Abstract | Publisher Full Text OpenURL

  32. Tierney WM, Brunt M, Kesterson J, Zhou XH, L’Italien G, Lapuerta P: Quantifying risk of adverse clinical events with one set of vital signs among primary care patients with hypertension.

    Ann Fam Med 2004, 2(3):209-217. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  33. Nietert PJ, Ornstein SM, Dickerson LM, Rothenberg RJ: Comparison of changes in blood pressure measurements and antihypertensive therapy in older, hypertensive, ambulatory care patients prescribed celecoxib or rofecoxib.

    Pharmacotherapy 2003, 23(11):1416-1423. PubMed Abstract | Publisher Full Text OpenURL

  34. Lopez-Ovejero JA, Weber MA, Drayer JI, Sealey JE, Laragh JH: Effects of indomethacin alone and during diuretic or beta-adrenoreceptor-blockade therapy on blood pressure and the renin system in essential hypertension.

    Clin Sci Mol Med Suppl 1978, 4:203s-205s. PubMed Abstract OpenURL

  35. Johnson AG, Nguyen TV, Day RO: Do nonsteroidal anti-inflammatory drugs affect blood pressure? A meta-analysis.

    Ann Intern Med 1994, 121(4):289-300. PubMed Abstract | Publisher Full Text OpenURL

  36. Davis A, Day RO, Begg EJ: Interactions between non-steroidal anti-inflammatory drugs and antihypertensives and diuretics.

    Aust N Z J Med 1986, 16(4):537-546. PubMed Abstract | Publisher Full Text OpenURL

  37. Epstein M, Oster JR: Beta blockers and renal function: a reappraisal.

    J Clin Hypertens 1985, 1(1):85-99. PubMed Abstract OpenURL

  38. MacFarlane LL, Orak DJ, Simpson WM: NSAIDs, antihypertensive agents and loss of blood pressure control.

    Am Fam Physician 1995, 51(4):849-856. PubMed Abstract OpenURL

  39. American Diabetes Association: Standards of medical care in diabetes--2007.

    Diabetes Care 2007, 30(Suppl 1):S4-S41. PubMed Abstract | Publisher Full Text OpenURL

  40. Grover SA, Coupal L, Zowall H: Treating osteoarthritis with cyclooxygenase-2-specific inhibitors: what are the benefits of avoiding blood pressure destabilization?

    Hypertension 2005, 45(1):92-97. PubMed Abstract | Publisher Full Text OpenURL

  41. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R: Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies.

    Lancet 2002, 360(9349):1903-1913. PubMed Abstract | Publisher Full Text OpenURL

  42. Sudano I, Flammer AJ, Périat D, Enseleit F, Hermann M, Wolfrum M, et al.: Acetaminophen increases blood pressure in patients with coronary artery disease.

    Circulation 2010, 122(18):1789-1796.

    Nov 2

    PubMed Abstract | Publisher Full Text OpenURL

  43. Yood MU, Campbell UB, Rothman KJ, Jick SS, Lang J, Wells KE, et al.: Using prescription claims data for drugs available over-the-counter (OTC).

    Pharmacoepidemiol Drug Saf 2007, 16(9):961-968. PubMed Abstract | Publisher Full Text OpenURL

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2261/12/93/prepub