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. 2015 Feb 5;24(3):256–261. doi: 10.1002/pds.3761

Safety of valproic acid in patients with chronic obstructive pulmonary disease: a population-based cohort study

Tony Antoniou 1,2,3,4,*, Zhan Yao 4, Ximena Camacho 4, Muhammad M Mamdani 2,3,4,5,6, David N Juurlink 3,4,7, Tara Gomes 2,3,4,5
PMCID: PMC4497617  PMID: 25656984

Abstract

Purpose

Valproic acid is an anticonvulsant that also inhibits histone deacetylase (HDAC), a property that could worsen pulmonary function in patients with chronic obstructive pulmonary disease (COPD). The clinical significance of this property is unknown. We therefore compared the risk of COPD exacerbation in older patients with COPD commencing treatment with either valproic acid or phenytoin, an anticonvulsant that does not affect HDAC.

Methods

We conducted a population-based retrospective cohort study of Ontario residents with COPD aged 66 years or older who started treatment with valproic acid or phenytoin between 1 April 1993 and 30 November 2012. The primary outcome was a hospital admission or emergency department visit for a COPD exacerbation within 240 days of drug initiation. A secondary outcome examined initiation of oral corticosteroids in the outpatient setting.

Results

During the study period, we identified 4596 COPD patients who commenced valproic acid and 8478 who commenced phenytoin. Following multivariable adjustment, valproic acid did not increase the risk of the primary outcome (adjusted hazard ratio 1.00, 95% confidence interval 0.79 to 1.26). Although valproic acid was associated with a lower risk of initiating oral corticosteroids in the first thirty days following commencement of anticonvulsant therapy (adjusted hazard ratio 0.32; 95% confidence interval 0.21 to 0.49), no difference was observed during subsequent follow-up.

Conclusion

Among older patients with COPD, treatment with valproic acid does not increase the risk of adverse pulmonary outcomes relative to phenytoin. These findings suggest that valproate-induced HDAC inhibition is of little clinical relevance in this context. Copyright © 2015 John Wiley & Sons, Ltd.

Keywords: chronic obstructive pulmonary disease, valproic acid, histone deacetylase, propensity score, pharmacoepidemiology

Introduction

Chronic obstructive pulmonary disease (COPD) is a debilitating illness that affects approximately 65 million people worldwide and is projected to become the third leading global cause of death by 2020.1,2 Several lines of evidence suggest that the progressive inflammatory course of COPD is related to reduced activity of histone deacetylase (HDAC) enzymes, particularly HDAC2, in the alveolar macrophages and lungs of these patients.3,4 Because these regulatory proteins suppress inflammatory gene expression and pro-inflammatory cytokine production in alveolar macrophages, reduced HDAC activity is correlated with disease severity and corticosteroid insensitivity in patients with COPD.510 Drugs that impair HDAC expression or function could therefore conceivably worsen pulmonary function in patients with COPD or provoke disease exacerbations by further amplifying inflammation and corticosteroid resistance.

Valproic acid is a broad spectrum anticonvulsant that is also used in patients with mood disorders and headache.11 At therapeutic concentrations, valproic acid is a selective inhibitor of HDAC activity and inducer of HDAC2 degradation, effects which would be expected to worsen pulmonary function in patients with COPD.1215 However, no studies have examined whether valproic acid is associated with adverse pulmonary events in patients with COPD. This is important because COPD is commonly accompanied by stroke and malignancy, both of which are associated with seizures, valproic acid is a commonly used anticonvulsant drug in the elderly and exacerbations of COPD account for a substantial portion of the burden of the illness.1,2,1619 We therefore compared the risk of COPD exacerbation in older patients with COPD commencing treatment with either valproic acid or phenytoin, a commonly used anticonvulsant that does not affect HDAC activity.15 We speculated that, by virtue of HDAC inhibition, valproic acid would be associated with a heightened risk of disease exacerbation in patients with COPD relative to phenytoin.

Methods

Study design

We conducted a population-based retrospective cohort study of Ontario residents with COPD aged 66 years or older who started treatment with valproic acid or phenytoin between 1 April 1993 and 30 November 2012. This study was approved by the Research Ethics Board of the Sunnybrook Health Sciences Centre, Toronto.

Data sources

We determined medication exposure using the Ontario Drug Benefit (ODB) Database, which contains comprehensive records of prescription drugs dispensed to Ontario residents aged 65 years or older. We excluded the first year of eligibility for prescription drug coverage (age 65) to avoid incomplete medication records. We obtained hospitalization and emergency department data from the Canadian Institute for Health Information's Discharge Abstract Database and National Ambulatory Care Reporting System, respectively. These databases contain detailed clinical information regarding all hospital admissions and emergency department visits in Ontario. We used the Ontario Health Insurance Plan database to identify claims for physician services, and validated disease registries to define the presence of diabetes, asthma and congestive heart failure.2022 Finally, we obtained basic demographic data and date of death from the Registered Persons Database, a registry of all Ontario residents eligible for health insurance. These databases were linked in an anonymous fashion using encrypted health card numbers, and are regularly used for population-based drug research.2326

Identification of cohort

We identified patients with COPD using the Ontario COPD database, a validated registry of Ontario residents diagnosed with COPD.27 From within this cohort, we identified individuals who were newly prescribed valproic acid or phenytoin using the ODB database, and defined the index date as the date of first prescription for either drug during the study period. To restrict our analysis to new users of these drugs, we excluded individuals who received a prescription for either of these drugs in the year before the index date. To avoid the confounding effects of severe COPD, we excluded all individuals who had been hospitalized or visited the emergency department with an exacerbation of COPD in the year preceding the index date, as well as those individuals who had filled a prescription for oral corticosteroids during this period. We censored patients who switched between study drugs, after 240 days of observation time, at death, or at the end of follow-up (31 March 2013), whichever occurred first.

Outcome measures

The primary outcome of the study was a hospital admission or emergency room visit for COPD (International Classifications of Diseases, 9th and 10th edition codes 491,492, 496 and J41 to J44, respectively) within 240 days of drug initiation. We reasoned that a 240-day follow-up period would be sufficient for capturing acute and durable effects of valproic acid-mediated inhibition of HDAC. We considered only the first hospital admission or emergency department visit as a study outcome in patients who had multiple admissions during the study period. As a secondary outcome, we examined receipt of prescriptions for oral corticosteroids during follow-up as an indicator of COPD exacerbations managed in the outpatient setting. To test the specificity of our findings, we used hospital visits for cataract surgery as a tracer outcome, since there is no plausible reason why the use of valproic acid or phenytoin would differentially influence this outcome.

Statistical analysis

We calculated descriptive statistics for patients' baseline demographic and clinical characteristics, and computed standardized differences to test for intergroup differences. Standardized differences of less than 0.1 indicate good balance between groups for a given covariate.28

We conducted time-to-event analyses using Cox proportional hazards regression to examine the association of valproic acid with our primary and secondary outcomes, using phenytoin-treated patients as the reference group. We verified the proportional hazards assumption by testing the statistical significance of a time-dependent treatment variable and by visually inspecting the estimated log(−log) survival curves. All analyses were conducted using an intention-to-treat approach in which follow-up was not terminated on treatment cessation but was instead only terminated by the occurrence of a primary event or the end of the follow-up interval. To prevent model overfitting, we adjusted our analyses for an extensive list of covariates associated with the probability of receiving either valproic acid or phenytoin using propensity scores generated by a high dimensional propensity score algorithm.29 The seven data dimensions included in the algorithm reflect those used in previously published studies and included the number of prescription drug claims in the previous year (one dimension), hospitalization and emergency department diagnoses and procedures in the past 3 years (four dimensions) and physician claims in the past 3 years (two dimensions). The algorithm selects the top 200 most prevalent codes in each data dimension to test the potential for confounding. These covariates are then sorted in descending order of confounding potential, from which we selected the top 500 empirical variables for propensity score estimation. In addition to adjustment for the propensity score, we adjusted all models for baseline characteristics for which the standardized difference between groups exceeded 0.10. All analyses were performed using SAS version 9.2 (SAS Institute, Cary, North Carolina).

Results

We identified 13 074 patients with COPD who initiated treatment with a study drug during the twenty-one year study period. Of these, 4596 (35.2%) started valproic acid and 8478 (64.8%) started phenytoin. The two groups of patients were similar with respect to medication use, socioeconomic status and chronic illness prior to cohort entry (Table 1). However, new users of phenytoin had a higher prevalence of stroke or transient ischemic attack [(1712 (20.2%) versus 275 (6.0%)], seizure disorder [843 (9.9%) versus 80 (1.7%)] and lung malignancy [138 (1.6%) versus 14 (0.3%)] in the two years prior to starting treatment (Table 1). Patients in both groups were followed for a median of 240 days.

Table 1.

Baseline characteristics

Variable Valproic acid users (n = 4596) Phenytoin users (n = 8478) Standardized difference
Age (median, IQR) 76 (71–82) 78 (72–83) 0.12
 66 – 74 1971 (42.9%) 3177 (37.5%) 0.12
 75 – 84 1871 (40.7%) 3700 (43.6%) 0.06
 85+ 754 (16.4%) 1601 (18.9%) 0.06
Female, no. (%) 2480 (54.0%) 4030 (47.5%) 0.13
Charlson Co-morbidity Index, No. (%)
 No hospitalization 2110 (45.9%) 2998 (35.4%) 0.22
 0 732 (15.9%) 1101 (13.0%) 0.08
 1 722 (15.7%) 1465 (17.3%) 0.04
 2 + 1032 (22.5%) 2914 (34.4%) 0.26
Number of prescription medications in previous year (median, IQR) 12.0 (8.0–17.0) 10.0 (6.0–15.0) 0.29
Residence in a long-term care facility, no. (%) 1701 (37.0%) 2417 (28.5%) 0.18
Medication use in previous 365 days, no. (%)
 Inhaled corticosteroid 813 (17.7%) 1453 (17.1%) 0.01
 Inhaled anticholinergic 621 (13.5%) 1176 (13.9%) 0.01
 Long-acting bronchodilator 75 (1.6%) 94 (1.1%) 0.05
 Short-acting bronchodilator 1018 (22.2%) 1984 (23.4%) 0.03
 Inhaled bronchodilator/corticosteroid combination 338 (7.4%) 462 (5.5%) 0.08
 Inhaled bronchodilator/anticholinergic combination 260 (5.7%) 409 (4.8%) 0.04
 Xanthine 71 (1.5%) 330 (3.9%) 0.14
 Respiratory antibiotic 1756 (38.2%) 3150 (37.2%) 0.02
Previous diagnoses
 Myocardial infarction 363 (7.9%) 600 (7.1%) 0.03
 Diabetes 1305 (28.4%) 2368 (27.9%) 0.01
 Asthma 1115 (24.3%) 1900 (22.4%) 0.04
 Congestive heart failure 1090 (23.7%) 2284 (26.9%) 0.07
Medical conditions in previous 2 years
 Aspiration pneumonia 77 (1.7%) 195 (2.3%) 0.04
 Pneumonia 326 (7.1%) 808 (9.5%) 0.09
 Influenza 8 (0.2%) 23 (0.3%) 0.02
 Seizure disorder 80 (1.7%) 843 (9.9%) 0.3
 Alcohol abuse 147 (3.2%) 465 (5.5%) 0.11
 Pneumothorax 10 (0.2%) 17 (0.2%) 0.00
 Stroke or transient ischemic attack 275 (6.0%) 1712 (20.2%) 0.40
 Pulmonary embolism 26 (0.6%) 53 (0.6%) 0.01
 Lung malignancy 14 (0.3%) 138 (1.6%) 0.12
Income quintile, no. (%)
 1 (lowest) 1085 (23.6%) 2061 (24.3%) 0.02
 2 985 (21.4%) 1920 (22.7%) 0.03
 3 920 (20.0%) 1684 (19.9%) 0.00
 4 807 (17.6%) 1432 (16.9%) 0.02
 5 (highest) 782 (17.0%) 1313 (15.5%) 0.04
 Missing 17 (0.4%) 68 (0.8%) 0.05

Overall, 175 (3.8%) patients receiving valproic acid and 373 (4.4%) patients receiving phenytoin reached the primary outcome of a hospital admission or emergency room visit for COPD. Following multivariable adjustment, we found no difference in the risk of the primary outcome in patients treated with valproic acid relative to phenytoin (adjusted hazard ratio 1.00, 95% confidence interval 0.79 to 1.26) (Table 2). In the secondary analysis, 188 (4.1%) patients treated with valproic acid received a prescription for oral corticosteroids during follow-up, compared with 517 (6.1%) patients treated with phenytoin. Because the assumption of proportionality was violated for the secondary outcome, we were unable to estimate a single hazard ratio denoting the effect of the exposure drugs on subsequent receipt of oral corticosteroid therapy. Instead, we included an interaction term between treatment and follow-up time to estimate the instantaneous effect of valproic acid relative to phenytoin at 30-day intervals (Table 3). Apart from the first 30-days of treatment, where valproic acid was associated with a reduced risk of initiating oral corticosteroids (adjusted hazard ratio 0.32; 95% confidence interval 0.21 to 0.49), there was no difference between valproic acid- and phenytoin-treated patients in the risk of this outcome (Table 3). As expected, we found no difference in the risk of cataract surgery between the two groups (adjusted hazard ratio 0.79; 95% confidence interval 0.57 to 1.09) (Table 2).

Table 2.

Risk of adverse pulmonary events among patients treated with valproic acid or phenytoin

Number (%) of events in valproic acid treated patients Number (%) of events in phenytoin treated patients Unadjusted hazard ratio (95% CI)* Adjusted hazard ratio (95% CI)*
Primary outcome
Hospital admission or emergency room visit for COPD 175 (3.8%) 373 (4.4%) 0.81 (0.68 – 0.98) 1.00 (0.79 – 1.27)
Tracer outcome
Cataract surgery 91 (2.0%) 188 (2.2%) 0.83 (0.64 – 1.07) 0.79 (0.57 – 1.09)
*

Reference group is individuals treated with phenytoin. Models adjusted for propensity score, age, sex, Charlson co-morbidity score, residence in long-term care facility, number of prescription drugs in previous year, xanthine use, stroke/transient ischemic attack, seizure disorder and lung malignancy.

Table 3.

Risk of being prescribed oral corticosteroids over time among patients treated with valproic acid or phenytoin

Unadjusted hazard ratio (95% CI)* Adjusted hazard ratio (95% CI)*
Secondary outcome: prescription for oral corticosteroid
Day 0 to 30 0.26 (0.18 to 0.40) 0.32 (0.21 to 0.49)
Day 31 to 60 0.62 (0.42 to 0.92) 0.74 (0.48 to 1.12)
Day 61 to 90 0.86 (0.56 to 1.34) 1.02 (0.64 to 1.61)
Day 91 to 120 0.89 (0.56 to 1.44) 1.04 (0.64 to 1.71)
Day 121 to 150 0.70 (0.42 to 1.18) 0.81 (0.47 to 1.39)
Day 151 to 180 0.89 (0.5 to 1.57) 1.03 (0.57 to 1.85)
Day 181 to 210 1.32 (0.77 to 2.29) 1.53 (0.87 to 2.67)
Day 211 to 240 0.69 (0.35 to 1.35) 0.80 (0.40 to 1.58)
*

Reference group is individuals treated with phenytoin. Models adjusted for propensity score, age, sex, Charlson co-morbidity score, residence in long-term care facility, number of prescription drugs in previous year, xanthine use, stroke/transient ischemic attack, seizure disorder and lung malignancy.

Discussion

In our population based study of older patients with COPD, we found no increase in the risk of hospital admissions or emergency department room visits for COPD exacerbation among those treated with valproic acid relative to phenytoin. In addition, apart from a decreased risk of initiating oral corticosteroids among valproic acid-treated patients during the first 30 days of treatment, we found no difference in this outcome at remaining 30-day follow-up intervals. We reason that the initial decrease in risk reflects unmeasured confounding related to severity of underlying COPD, given that patients receiving phenytoin appeared to be systematically less well at baseline relative to patients prescribed valproic acid.

The finding that valproic acid did not increase the risk of adverse pulmonary events was unexpected in light of evidence that this drug inhibits HDAC, the reduced activity and expression of which is associated with increased disease severity in patients with COPD. One possible explanation for this discordance is that valproic acid may be too weak an HDAC inhibitor to elicit adverse pulmonary events in patients with COPD.30 This reasoning has also been offered as an explanation for the drug's inability to deplete latent viral reservoirs in HIV-infected patients.31,32 Similarly, it is unknown if clinically used doses of valproic acid result in pulmonary drug concentrations sufficient for inhibiting HDAC activity in the lung. Regardless, our findings demonstrate that valproic acid's effects on HDAC should not deter clinicians from prescribing the drug to older patients with COPD when clinically indicated, particularly since it is generally well tolerated and exhibits fewer drug interactions in relation to other commonly used anticonvulsants.11

Some limitations of our work merit emphasis. We used administrative data rather than pulmonary function testing to identify patients diagnosed with COPD. However, we used a previously validated case-finding algorithm for identifying patients with COPD that has a specificity of 95%.27 Although we adjusted our analyses for a propensity score derived using 500 potential confounding variables, it is possible that our findings are biased by intergroup differences in the baseline risk of COPD exacerbation. In addition, we had no access to clinical information such as medication adherence, smoking history and intercurrent viral infections that may have precipitated disease exacerbations. However, these limitations apply equally to both valproic acid and phenytoin. We had no access to measures of disease severity, such as forced volume in 1 second (FEV1), forced vital capacity, body mass index and presence of hypoxemia or hypercapnia. Finally, because we conducted our analyses in COPD patients aged 66 years and over with no evidence of a recent disease exacerbation, our findings may not be applicable to younger patients with COPD and those with a history of recent exacerbations.

In conclusion, we found no difference in the risk of hospital admissions or emergency room visits for COPD exacerbations in older patients with COPD treated with either valproic acid, an anticonvulsant which inhibits HDAC, or phenytoin, a drug which does not exhibit this property. These findings provide a measure of reassurance that valproic acid-mediated inhibition of HDAC is of limited clinical importance in the setting of COPD, and that this drug can be safely used in these patients.

Conflicts of interest and financial disclosure

Tony Antoniou has no conflicts of interest. Zhan Yao has no conflicts of interest. Ximena Camacho has no conflicts of interest. During the past three years, Muhammad M. Mamdani has served on advisory boards and/or received honoraria from Astra Zeneca, Bristol-Myers Squibb, Eli Lilly and Company, Glaxo Smith Kline, Hoffman La Roche, Novartis, Novo Nordisk and Pfizer. David N. Juurlink has no conflicts of interest. Tara Gomes has no conflicts of interest. This study was approved by the Research Ethics Board of the Sunnybrook Health Sciences Centre, Toronto.

Key points

  • Valproic acid inhibits histone deacetylase (HDAC), a property that could worsen pulmonary function in patients with COPD.

  • There was no difference in the risk of adverse pulmonary outcomes in older patients with COPD treated with either valproic acid or phenytoin, a drug that does not inhibit HDAC.

Acknowledgments

Tony Antoniou is the guarantor of this work, and, as such, had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Funding/support

Tony Antoniou is supported by a new investigator award from the Canadian Institutes of Health Research. This project was supported by research funds from the Ontario Drug Policy Research Network and by the Institute for Clinical Evaluative Sciences, which is funded by a grant from the Ontario Ministry of Health and Long-Term Care. The sponsors had no role in the design and conduct of the study; in the collection, analysis and interpretation of the data; or in the preparation, review or approval of the manuscript. The opinions, results and conclusions reported in this paper are those of the authors and are independent from the funding sources. No endorsement by the Institute for Clinical Evaluative Sciences or the Ontario Ministry of Health and Long-Term Care is intended or should be inferred.

We thank Brogan Inc., Ottawa for use of their Drug Product and Therapeutic Class Database.

Author contributions

TA, ZY, XC, MMM, DNJ and TG contributed substantially to the study design, data analysis and interpretation of the data. TA drafted the manuscript. ZY, XC, MMM, DNJ and TG critically revised the manuscript. All authors approved the final version of the manuscript submitted for publication.

References

  • 1.2014. Global Initiative for Chronic Obstructive Lung Disease. Global strategy for the diagnosis, management and prevention of chronic obstructive pulmonary disease (updated ). Available at: http://www.goldcopd.com (last accessed August 8, 2014)
  • 2.Murray CJ, Lopez AD. Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study. Lancet. 1997;349(9064):1498–1504. doi: 10.1016/S0140-6736(96)07492-2. [DOI] [PubMed] [Google Scholar]
  • 3.Barnes PJ. Reduced histone deacetylase in COPD: clinical implications. Chest. 2006;129(1):151–155. doi: 10.1378/chest.129.1.151. [DOI] [PubMed] [Google Scholar]
  • 4.Ito K, Ito M, Elliot WM, et al. Decreased histone deacytylase activity in chronic obstructive pulmonary disease. N Engl J Med. 2005;352(19):1967–1976. doi: 10.1056/NEJMoa041892. [DOI] [PubMed] [Google Scholar]
  • 5.de Ruijter AJ, van Gennip AH, Caron HN, Kemp S, van Kuilenburg AB. Histone deacetylases (HDACs): characterization of the classical HDAC family. Biochem J. 2003;370(Pt 3):737–749. doi: 10.1042/BJ20021321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ito K, Lim S, Caramori G, Chung KF, Barnes PJ, Adcock IM. Cigarette smoking reduces histone deacetylase 2 expression, enhances cytokine expression and inhibits glucocorticoid actions in alveolar macrophages. FASEB J. 2001;15(6):1100–1102. [PubMed] [Google Scholar]
  • 7.Ito K, Tomita T, Barnes PJ, Adcock IM. Oxidative stress reduces histone deacetylase (HDAC)2 activity and enhances IL-8 gene expression: role of tyrosine nitration. Biochem Biophys Res Commun. 2004;315(1):240–245. doi: 10.1016/j.bbrc.2004.01.046. [DOI] [PubMed] [Google Scholar]
  • 8.Szulakowski P, Crowther AJ, Jimenez LA, et al. The effect of smoking on the transcriptional regulation of lung inflammation in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2006;174(1):41–50. doi: 10.1164/rccm.200505-725OC. [DOI] [PubMed] [Google Scholar]
  • 9.Ito K, Barnes PJ, Adcock IM. Glucocorticoid receptor recruitment of histone deacetylase 2 inhibits interleukin-1 beta-induced histone H4 acetylation on lysines 8 and 12. Mol Cell Biol. 2000;20(18):6891–6903. doi: 10.1128/mcb.20.18.6891-6903.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Barnes PJ, Ito K, Adcock IM. Corticosteroid resistance in chronic obstructive pulmonary disease: inactivation of histone deacetylase. Lancet. 2004;363(9410):731–733. doi: 10.1016/S0140-6736(04)15650-X. [DOI] [PubMed] [Google Scholar]
  • 11.DeVane CL. Pharmacokinetics, drug interactions, and tolerability of valproate. Psychopharmacol Bull. 2003;37(Suppl 2):25–42. [PubMed] [Google Scholar]
  • 12.Krämer OH, Zhu P, Ostendorff HP, et al. The histone deacetylase inhibitor valproic acid selectively induces proteasomal degradation of HDAC2. EMBO J. 2003;22(13):3411–3420. doi: 10.1093/emboj/cdg315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Göttlicher M, Minucci S, Zhu P, et al. Valproic acid defines a novel class of HDAC inhibitors inducing differentiation of transformed cells. EMBO J. 2001;20(24):6969–6978. doi: 10.1093/emboj/20.24.6969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Phiel CJ, Zhang F, Huang EY, Guenther MG, Lazar MA, Klein PS. Histone deacetylase is a direct target of valproic acid, a potent anticonvulsant, mood stabilizer and teratogen. J Biol Chem. 2001;276(39):36734–36741. doi: 10.1074/jbc.M101287200. [DOI] [PubMed] [Google Scholar]
  • 15.Eyal S, Yagen B, Sobol E, Altschuler Y, Shmuel M, Bialer M. The activity of antiepileptic drugs as histone deacetylase inhibitors. Epilepsia. 2004;45(7):737–744. doi: 10.1111/j.0013-9580.2004.00104.x. [DOI] [PubMed] [Google Scholar]
  • 16.De Reuck J, Proot P, Van Maele G. Chronic obstructive pulmonary disease as a risk factor for stroke-related seizures. Eur J Neurol. 2007;14(9):989–992. doi: 10.1111/j.1468-1331.2007.01829.x. [DOI] [PubMed] [Google Scholar]
  • 17.Huying F, Klimpe S, Werhahn KJ. Antiepileptic drug use in nursing home residents: a cross-sectional, regional study. Seizure. 2006;15(3):194–197. doi: 10.1016/j.seizure.2006.02.002. [DOI] [PubMed] [Google Scholar]
  • 18.Garrard J, Harms S, Hardie N, et al. Antiepileptic drug use in nursing home admissions. Ann Neurol. 2003;54(1):75–85. doi: 10.1002/ana.10593. [DOI] [PubMed] [Google Scholar]
  • 19.Pugh MJV, Van Cott AC, Cramer JA, et al. Trends in antiepileptic drug prescribing for older patients with new-onset epilepsy: 2000–2004. Neurology. 2008;70(22 Pt 2):2171–2178. doi: 10.1212/01.wnl.0000313157.15089.e6. [DOI] [PubMed] [Google Scholar]
  • 20.Hux JE, Ivis F, Flintoft V, Bica A. Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm. Diabetes Care. 2002;25(3):512–516. doi: 10.2337/diacare.25.3.512. [DOI] [PubMed] [Google Scholar]
  • 21.Gershon AS, Wang C, Guan J, Vasilevska-Ristovska J, Cicutto L, To T. Identifying patients with physician-diagnosed asthma in health administrative databases. Can Resp J. 2009;16(6):183–188. doi: 10.1155/2009/963098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Schultz SE, Rothwell DM, Chen Z, Tu K. Identifying cases of congestive heart failure from administrative data: a validation study using primary care patient records. Chronic Dis Inj Can. 2013;33(3):160–166. [PubMed] [Google Scholar]
  • 23.Antoniou T, Zheng H, Singh S, Juurlink DN, Mamdani MM, Gomes T. Statins and the risk of herpes zoster: a population-based cohort study. Clin Infect Dis. 2014;58(3):350–356. doi: 10.1093/cid/cit745. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Dhalla IA, Juurlink DN, Gomes T, Granton JT, Zheng H, Mamdani MM. Selective serotonin reuptake inhibitors and pulmonary arterial hypertension: a case–control study. Chest. 2012;141(2):348–353. doi: 10.1378/chest.11-0426. [DOI] [PubMed] [Google Scholar]
  • 25.Juurlink DN, Gomes T, Ko DT, et al. A population-based study of the drug interaction between proton pump inhibitors and clopidogrel. CMAJ. 2009;180(7):713–718. doi: 10.1503/cmaj.082001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Park-Wyllie LY, Juurlink DN, Kopp A, et al. Outpatient gatifloxacin therapy and dysglycemia in older adults. N Engl J Med. 2006;354(13):1352–1361. doi: 10.1056/NEJMoa055191. [DOI] [PubMed] [Google Scholar]
  • 27.Gershon AS, Wang C, Guan J, et al. Identifying individuals with physician diagnosed COPD in health administrative databases. COPD. 2009;6(5):388–394. doi: 10.1080/15412550903140865. [DOI] [PubMed] [Google Scholar]
  • 28.Austin PC, Grootendorst P, Anderson GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med. 2007;26(4):734–753. doi: 10.1002/sim.2580. [DOI] [PubMed] [Google Scholar]
  • 29.Schneeweiss S, Rassen JA, Glynn RJ, Avorn J, Mogun H, Brookhart MA. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data. Epidemiology. 2009;20(4):512–522. doi: 10.1097/EDE.0b013e3181a663cc. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Dinarello CA, Fossati G, Mascagni P. Histone deacetylase inhibitors for treating a spectrum of diseases not related to cancer. Mol Med. 2011;17(5–6):333–352. doi: 10.2119/molmed.2011.00116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Routy JP, Tremblay CL, Angel JB, et al. Valproic acid in association with highly active antiretroviral therapy for reducing systemic HIV-1 reservoirs: results from a multicentre randomized clinical study. HIV Med. 2012;13(5):291–296. doi: 10.1111/j.1468-1293.2011.00975.x. [DOI] [PubMed] [Google Scholar]
  • 32.Archin NM, Cheema M, Parker D, et al. Antiretroviral intensification and valproic acid lack sustained effect on residual HIV-1 viremia or resting CD4+ cell infection. PLoS One. 2010;5(2):e9390. doi: 10.1371/journal.pone.0009390. [DOI] [PMC free article] [PubMed] [Google Scholar]

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