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Published in final edited form as: Curr Med Res Opin. 2013 Dec 18;30(4):685–693. doi: 10.1185/03007995.2013.865599

Statin use in asthmatics on inhaled corticosteroids is associated with decreased risk of emergency department visits

Sze Man Tse 1,2, Scott L Charland 3,4,5, Eric Stanek 6, Vivian Herrera 7, Seth Goldfarb 8, Augusto A Litonjua 9, Scott T Weiss 10,*, Ann Chen Wu 11,12,*
PMCID: PMC7105171  NIHMSID: NIHMS1560318  PMID: 24219830

Abstract

Objective:

Statins are hypothesized to have beneficial effects in asthma management through their pleiotropic anti-inflammatory effects. Several studies have examined this relationship, but have yielded conflicting results. This study investigates the effect of statin use on asthma-related hospitalizations and/or emergency department (ED) visits, and whether this relationship varies by concomitant inhaled corticosteroid (ICS) in a large cohort of asthma patients.

Methods:

Subjects with asthma, a recent history of asthma exacerbation, and who were 18 years or older were selected from the population-based Medco Health Solutions administrative database over a 1 year period. Prescription claims for statins and asthma medications, and asthma-related hospitalizations and/or ED visits were ascertained over a 12 month follow-up period. Subjects were stratified into two groups based on their ICS use.

Results:

A total of 3747 ICS users and 2905 non-ICS users were included in this study. Statin users represented 21% of ICS users and 11% of non-users. Among ICS users, statin use was significantly associated with decreased odds of asthma-related ED visits (OR = 0.77, 95% CI 0.64–0.94, p = 0.008), but not with asthma-related hospitalizations (OR = 1.09, 95% CI 0.92–1.30, p = 0.31). No significant associations were found among non-ICS users (for asthma-related ED visits: OR = 0.92, 95% CI 0.57–1.49, p = 0.73; asthma-related hospitalizations: OR = 1.10, 95% CI 0.85–1.41, p = 0.48). The statistical interactions between ICS and statin use on asthma-related hospitalizations and/or ED visits were not significant.

Conclusion:

Statin use is associated with fewer ED visits in asthma patients who are using ICS.

Keywords: Asthma, Exacerbation, Inhaled corticosteroids, Statins

Introduction

Statins, 3-hydroxy-3-methylglutaryl coenzyme A (HMG CoA) reductase inhibitors, are recommended to lower low-density lipoprotein cholesterol (LDL-C), thus reducing the risk of cardiovascular events15. Several studies have demonstrated the anti-inflammatory and immuno-modulatory properties of statins69, and statins have been postulated to play a role in the therapy of asthma10, a chronic inflammatory pulmonary condition affecting more than 25 million people in the United States11 and 300 million people worldwide12.

Randomized controlled trials of statin therapy in patients with asthma have shown mixed results, but most are limited by small samples sizes, short duration of intervention, and lack power to examine the effect of statins on asthma exacerbations1317. In contrast, in murine models of allergic asthma, statins have been shown to increase lung compliance18, decrease pulmonary inflammation18,19, inhibit goblet cell hyperplasia20, and decrease antigen-induced bronchial smooth muscle hyperresponsiveness18,21,22.

The objective of this study is to examine the effect of statin use on asthma-related hospitalizations and/or emergency department (ED) visits, using a large, real-world, population-based cohort. In addition, we explored whether this effect varied with concomitant ICS use.

Patients and methods

Subjects

The Medco Health Solutions National Integrated Database is a large, de-identified medical and pharmacy claims database containing over 10 million patients throughout the US. This database includes demographic data for its members, pharmacy prescription data that includes information on retail and mail order medication claims, and medical claims data for inpatient, outpatient, and ED visits.

For the purpose of this retrospective cohort study, claims from January 1, 2009 to December 31, 2009 were analyzed (the accrual period). Subjects were considered to have asthma if they had an asthma International Classification of Diseases, Ninth revision (ICD-9) code (493.XX) on two or more medical claims on distinct dates at any point of service during the accrual period. The asthma index date was defined as the first medical claim for ICD-9 493.XX in the accrual period. Subjects were included if they were 18 years or older, had asthma, at least one asthma-related hospitalization or ED visit in the 12 months prior to the index date, and 24 months of continuous eligibility with medical and pharmacy benefits (12 months pre and post asthma index date). Clients who declined to have their members’ medical or pharmacy claims data for external use and publication were excluded from this study.

Statin therapy, asthma therapy, and asthma-related outcomes

Statin and asthma therapy were assessed through National Drug Codes for the respective medications. Statin therapy includes simvastatin, lovastatin, atorvastatin, pravastatin, rosuvastatin, fluvastatin, cerivastatin, and pitavastatin. In this study, subjects were considered ICS users if they had any pharmacy claim for an ICS inhaler or any ICS combination inhalers during the post-index period. Other asthma therapy was characterized using the following categories: anticholinergics, oral steroids, short-acting beta-agonists, long-acting beta-agonists, leukotriene modifiers, mast cell stabilizers, theophylline and derivatives, and anti-immunoglobulin E (IgE) agents.

Statin use was ascertained based on the statin exposure rate during the post-index period, which is defined as:

(# days of statin dispensed between asthma index date and the asthma-related outcome up to 12 months)

(# of days between asthma index date and the asthma-related outcome up to 12 months)

Subjects were considered to be statin users if their statin exposure rate was 0.5 or greater with a maximum of 1.0. The primary outcome of interest, asthma exacerbation post-asthma diagnosis index date, was defined three ways: first asthma-related hospitalization, first asthma-related ED visit, and a composite outcome consisting of first asthma-related hospitalization and/or ED visit. Asthma-related hospitalizations and ED visits were ascertained based on medical claims (ICD-9 493.XX) at point of care over the 12 months post-index date.

Statistical analysis

Descriptive analysis of baseline characteristics were calculated for the statin users and non-statin users. A sensitivity analysis was performed to examine the number of subjects considered to be statin users with different thresholds for the statin exposure rate. Subjects were stratified based on their post-index date ICS use, and multivariate logistic regression was performed within each stratum to assess the association between statin use and each of the three asthma-related outcomes. Sex was forced in as an obligatory covariate while other covariates were included into the final model if they had a p-value of<0.1 on univariate analysis with the outcome of interest. Covariates considered include: age, census region, two or more asthma-related hospitalizations and/or ED visits in the pre-index period, asthma therapy, and the number of oral corticosteroid (OCS) courses in the pre-index period. In order to account for indications for statin use, Deyo–Charlson conditions and obesity were assessed in the pre-index period and included in the list of covariates considered. Other baseline characteristics of interest included smoking status, total asthma medication co-pay, total asthma medication cost, types of provider (internal medicine, family medicine, pulmonology, allergy), and the number of days between the end of last statin claim and the asthma-related outcome. Overweight/obesity was defined by ICD-9 codes and/or claims for weight loss medication and smoking status was defined by ICD-9 codes and/or claims for smoking cessation therapy (see Table E1 in the online data supplement). In addition to stratification by ICS use, an interaction term between ICS and statin use was added to the model to explore potential effect modification by ICS use on the effect of statin on asthma-related outcomes. P-values are two-sided and considered statistically significant if <0.05. All analyses were performed using SAS (version 9.3; Cary, NC, USA: SAS Institute).

Results

Subject demographics

There were 137,924 subjects with asthma during the specified 12 month accrual period. Of these, 6652 subjects met the inclusion and exclusion criteria, of which 3747 (56%) used an ICS during post-index period and 2905 (44%) were not ICS users (Figure 1). Depending upon the statin exposure threshold the overall population statin exposure rate varied from 8% to 19% at a threshold of 1.0 and 0.3, respectively (Figure 2). Based on the significant statin exposure rate of ≥0.5, there were 792 (21%) and 323 (11%) statin users among the ICS-exposed and ICS-unexposed group, respectively.

Figure 1.

Figure 1.

Selection of study patients from the Medco Health Solutions National Integrated Database.

Figure 2.

Figure 2.

Percentage of statin users in each ICS group based on different statin exposure rate thresholds.

Statin users were older, with a mean age of 63.8 (SD 12.2) years, while non-statin users had a mean age of 49.3 (SD 17.3) years (Table 1). There were more male subjects among statin users (36% vs. 27% in non-statin users). Compared to non-users, a higher proportion of statin users were on asthma therapy, including the more frequent use of an ICS (59% vs. 44% in non-statin users, p<0.001). A higher percentage of non-statin users had two or more asthma-related hospitalizations and/or ED visits in the pre-index period (23% vs. 17% in statin users, p<0.001). A higher proportion of smokers was also observed among non-statin users. Overall, statin users had a higher prevalence of baseline cardiovascular disease, diabetes and other comorbid conditions and were more frequently dispensed other non-asthma chronic therapy such as beta-blockers or non-steroidal anti-inflammatory drugs (NSAIDs).

Table 1.

Baseline characteristics of statin users and non-statin users.

Statin use No statin use p Value
Total number of subjects 1115 5537 -
Age, mean (SD) 63.8 (12.2) 49.3 (17.3) <0.001
Female, % (n) 64 (715) 73 (4065) <0.001
Statin exposure rate over 12 months post-index
 Mean (SD) 0.90 (0.14) 0.01 (0.07) <0.001
Asthma therapy in the 12 months pre-index date, % (n)
 Inhaled corticosteroids 59 (662) 44 (2445) <0.001
 Anticholinergics 16 (182) 7 (390) <0.001
 Anticholinergics/short-acting beta-agonist combination 12 (129) 7 (377) <0.001
 Oral corticosteroids 49 (549) 42 (2348) <0.001
 Short-acting beta-agonists 60 (663) 55 (3059) 0.010
 Long-acting beta-agonists 5(51) 2 (133) <0.001
 Long-acting beta-agonists/ICS combination 46 (513) 33 (1809) <0.001
 Leukotriene modifiers 36 (405) 24 (1310) <0.001
 Mast cell stabilizers 1 (12) 1 (37) 0.146
 Theophylline 4 (44) 2 (133) 0.003
 Omalizumab 0 (5) 1 (43) 0.238
Total asthma medication co-pay, $, mean (SD) 216.76 (19.4) 135.01 (2.4) <0.001
≥2 asthma-related ED/hospitalization events in the 12 months pre-index date, % (n) 17 (185) 23 (1296) <0.001
Number of bursts of oral corticosteroids in the 12 months pre-index date, mean (SD) 0.73 (1.1) 0.68 (1.2) 0.177
Tobacco use, % (n) 23 (261) 32 (1750) <0.001
Obesity, % (n) 15 (164) 12 (683) 0.030
Deyo-Charlson conditions, % (n)
 Myocardial infarction 7 (78) 2 (101) <0.001
 Congestive heart failure 4 (161) 6 (324) <0.001
 Peripheral vascular disease 8 (85) 3 (161) <0.001
 Cerebrovascular disease 14 (158) 5 (278) <0.001
 Dementia 1 (14) 0 (24) <0.001
 Chronic pulmonary disease 100 (1115) 100 (5537) <0.001
 Rheumatologic disease 4 (47) 4 (204) 0.396
 Peptic ulcer disease 2(17) 1 (66) 0.361
 Mild liver disease 0 (5) 1 (28) 0.804
 Diabetes 35 (395) 15 (811) <0.001
 Diabetes with chronic complications 8 (84) 3 (157) <0.001
 Hemiplegia or paraplegia 1 (7) 0 (23) 0.334
 Renal disease 7 (83) 3 (157) <0.001
 Moderate or severe liver disease 0 (2) 0(12) 1.000
 HIV/AIDS 0 (0) 0(16) 0.072
 Any malignancy including leukemia and lymphoma 11 (118) 6 (348) <0.001
 Metastatic solid tumor 1 (11) 1 (32) 0.120
Other non-asthma therapy, % (n)
 Beta-blockers 31 (346) 10 (572) <0.001
 Non-steroidal anti-inflammatory drugs (NSAID) 33 (370) 25 (1374) <0.001

Includes asthma.

Statin use and asthma-related outcomes

Despite the smaller number of statin users in each ICS stratum, there were more asthma-related adverse events among statin users compared to non-users (Table 2). Common covariates included in all final models include age, sex, census region, ≥2 pre-index asthma-related hospitalizations or ED visits, and pre-index number of OCS bursts (Table 3). Among ICS users, statin use was significantly associated with decreased odds of asthma-related ED visits (OR = 0.77, 95% CI 0.64–0.94, p = 0.008), after adjustment for covariates (Table 4). Statin use among ICS users was not significantly associated with asthma-related hospitalizations (OR = 1.09, 95% CI 0.92–1.30, p = 0.31) or with the composite outcome of hospitalizations and/or ED visits (OR = 0.93, 95% CI 0.74–1.17, p = 0.54). Among non-ICS users, statin use was not associated with the asthma-related outcomes. The relationship between statin use and any of the asthma-related outcomes was not modified by concurrent ICS therapy (ICS ×statin interaction term p = 0.91 for hospitalizations, p = 0.69 for ED visits, p = 0.38 for hospitalizations and/or ED visits).

Table 2.

Number of asthma-related adverse outcomes among ICS users, non-ICS users, and the whole study cohort.

Asthma-related hospitalizations, % (n) Asthma-related ED visits, % (n) Asthma-related hospitalization and/or ED visits, % (n)
ICS use
 Statin use 76 (1433) 86 (1222) 79 (2478)
 No statin use 24 (462) 14 (206) 21 (653)
 Total 1895 1428 3131
No ICS use
 Statin use 87 (1232) 94 (976) 89 (2107)
 No statin use 13 (187) 6 (68) 11 (249)
 Total 1419 1044 2356
Whole cohort
 Statin use 80 (2665) 89 (2198) 84 (4585)
 No statin use 20 (649) 11 (274) 16(902)
 Total 3314 2472 5487

Table 3.

Covariates included in final models of statin use on asthma-related outcomes (p<0.1 on univariate analysis).

ICS use No ICS use Statin × ICS interaction



Asthma-related hospitalizations Asthma-related ED visits Asthma-related hospitalizations and/or ED visits Asthma-related hospitalizations Asthma-related ED visits Asthma-related hospitalizations and/or ED visits Asthma-related hospitalizations Asthma-related ED visits Asthma-related hospitalizations and/or ED visits
Age x X X X X X X X X
Sex X X X X X X X X X
Census region X X X X X X X X X
≥2 pre-index asthma-related hospitalizations or ED visits X X X X X X X X X
Pre-index number of OCS bursts X X X X X X X X X
Pre-index statin use X X
Pre-index NSAID use X X X
Time from end of last statin claim to event X X
Rheumatologie disease X
Overweight/obesity X X X X
Malignancy X X X X
Diabetes X
Diabetes with chronic complications X X
Myocardial infarction X X X
Peptic ulcer disease X X X
Congestive heart failure X X X
Renal disease X

Table 4.

Effect of statin use on asthma-related adverse outcomes.

Asthma-related hospitalizations Asthma-related ED visits Asthma-related hospitalizations and/or ED visits



OR (95% CI) p Value OR (95% CI) p Value OR (95% CI) p Value
ICS use
 Statin use vs. no statin use 1.09(0.92,1.30) 0.31 0.77 (0.64, 0.94) 0.008 0.93 (0.74,1.17) 0.54
No ICS use
 Statin use vs. no statin use 1.10(0.85,1.41) 0.48 0.92 (0.57, 1.49) 0.73 0.83 (0.62, 1.13) 0.24
Statin × ICS 0.91 0.69 0.38

Adjusted for covariates in Table 3.

Discussion

In this large population-based cohort study, we found a significant association between statin use and decreased odds of asthma-related ED visits among ICS users after adjusting for various potential confounders. This effect was not observed among subjects not on concurrent ICS therapy. Furthermore, our findings did not demonstrate a statistical interaction between ICS and statin use on adverse asthma outcomes.

Our findings are in accordance with recent observational studies. Using the Taiwan nationwide insurance database, after adjusting for a number of parameters, Huang et al. reported an association between any statin use and a lower incidence of hospitalization in patients with asthma23. Unlike this evaluation, the investigators defined statin use as anyone who received a statin; thus, exposure to a statin may be minimal prior to hospitalization for asthma. Additionally, in contrast to this study population, a minority of subjects in the Taiwanese cohort was on ICS therapy (12% among statin users vs. 59% in our study). As the authors pointed out, ICS are underused in Taiwan compared to other industrialized countries, and their results may not be generalizable to other populations. Another recent study found that statin therapy, after adjustment of age, gender, race, geographical region, and Charlson Comorbidity Index, was significantly associated with decreased odds of asthma-related ED visits and hospitalizations and/or ED visits among subjects with asthma on ICS therapy using the Mississippi Medicaid data24. Interestingly, the authors ascertained statin exposure over the 6 months prior to the index date and assessed the asthma outcomes over the 12 months following the index date. Although the authors had findings similar to ours, our study utilized patients throughout the US and was methodologically different as we assessed statin exposure up to the time of the asthma-related event. It is interesting to consider the temporal relationship between statin use and its potentially beneficial effects on asthma outcomes as well as the amount of exposure required for such benefits. Based on the cardiovascular literature, the effects of statins on C-reactive protein and low-density lipoprotein cholesterol may be seen within weeks25 while their effect on the reduction of plaque volume may take years26. While further studies are needed to clarify these temporal relationships between statins and asthma outcomes, we speculate that in asthma a reduction in sputum inflammatory cells may occur within weeks of starting statin therapy while it may take several months or even years before an effect on some spirometric parameters or airway remodeling may be detected. The optimal duration for future trials in this field will depend on the outcome of interest. For example, in addition to an increase in sample size from the previous trials and based on previous asthma trials27, we speculate that a trial of minimum 1 year duration may allow the detection of a difference in asthma exacerbations between individuals randomized to statins or placebo.

The finding of a beneficial statin effect in asthma contrasts with the results of several small randomized controlled trials (RCT), which demonstrated limited benefits across laboratory and clinical endpoints. A short-term RCT in atopic asthma subjects on ICS therapy compared 8 weeks of atorvastatin therapy (40 mg daily) to an 8 week placebo and found no difference in mean morning peak expiratory flow (PEF) between the two treatment periods13. However, a decrease in sputum macrophage count was noted with atorvastatin treatment. Cowan et al. showed no steroid-sparing effect of simvastatin (40 mg daily) in patients with eosinophilic asthma, with no difference in symptoms control, lung function and airway hyperresponsiveness between subjects on simvastatin and placebo14, despite a decrease in sputum eosinophils. Most of these trials have a short treatment period and small sample sizes, limiting their ability to examine the effects of statins on asthma exacerbation, a more infrequent outcome.

Despite a non-significant statistical interaction between ICS and statin use on asthma exacerbations, our findings are consistent with potential beneficial effects of statins among ICS users only, suggesting a biological interaction or a synergistic action between ICS and statins. Although often used together or even interchangeably, an absence of statistical interaction is not equivalent to an absence of biological interaction28. The literature on the synergistic effect of statins and ICS remains controversial. Corroborated by studies using murine models29, one clinical trial found that simvastatin enhances the anti-inflammatory properties of ICS through increased IL-10 secretion and activation of the indoleamine 2,3 dioxygenase pathway in subjects with mild asthma15 and another observed an improvement in asthma control in subjects with severe asthma on concomitant ICS and statin therapy30. However, Braganza et al. found no change in PEF with atorvastatin and ICS compared to ICS therapy alone16. Interestingly, while the study cited above by Cowan et al. showed no steroid-sparing effect of simvastatin in subjects with eosinophilic asthma, a significant improvement in Asthma Control Questionnaire score, forced expiratory volume in 1 second (FEV1), and sputum eosinophils was observed in the subjects weaned down to 0 μg of fluticasone and who were on simvastatin. These subjects generally had higher PEF and FEV1 compared to those who were unable to wean to no ICS. One possible explanation to these conflicting results is the different subtypes of asthma studied, which included mild asthma15, obesity-related severe asthma30, smokers with asthma16, and eosinophilic asthma14. Our population was heterogeneous and included a mixture of asthma sub-types. It is possible that among individuals with eosinophilic asthma, statin therapy benefits only those with mild asthma. While our findings add to the existing literature, further studies are needed to examine the potential synergistic action of ICS and statins on clinical asthma outcomes, particularly specific to distinct asthma subtypes and the mechanisms leading to these additive effects.

Our study has several strengths. First, the use of a large real-world and heterogeneous population allows for increased generalizability of our results. Our population is also different from previous large observational studies using administrative databases, one of which examined a Taiwanese population and another used a state Medicaid database. Second, we examined the effect modification by concurrent ICS therapy on the relationship between statin use and asthma-related hospitalization and/or ED visits. Our results add to the existing literature as no observational study has formally analyzed this effect previously. Lastly, we quantified a subject’s statin exposure by looking at their statin exposure rate prior to the adverse asthma-related event. This is similar to the medication possession ratio, but our definition allows for a better characterization of statin exposure leading up to the adverse event and disregards the statin exposure after the event.

Despite these strengths, several limitations are note-worthy. As in most observational studies examining the effect of a treatment, there may be residual confounding by indication. Subjects who were prescribed statin therapy may have more comorbidities, as is the case with our population, and may be inherently more at risk for asthma-related adverse outcomes. However, despite the observation that statin users had more prevalent co-morbid conditions at baseline, we found a beneficial effect of statins in this sicker group, reinforcing the conclusion that statins may be truly associated with a decreased risk of asthma-related ED visits. Given the administrative nature of the database, we did not have access to the specific indications for statin use. Thus, in order to address the issue of confounding by indication, we comprehensively adjusted for comorbid medical conditions that may be potential confounders. Several limitations are associated with the nature of administrative databases. These include potential for misclassification of exposures and outcomes, and lack of reliable data on adherence for certain medications, environmental conditions (e.g. exposure to allergens), and other lifestyle influences. Furthermore, it is unclear what level of statin exposure may be necessary to confer benefits in asthma. Choosing a too low or too high statin exposure rate threshold may lead to misclassification, therefore an a priori threshold of 0.5 was chosen. Our sensitivity analysis demonstrated that variations in this threshold shift the number of statin users only slightly in our population (3% less statin users for a threshold of 0.8 compared to 0.5), suggesting that a threshold of 0.5 may be acceptable. Lastly, we were unable to differentiate the different sub-groups of asthma using this claims-based database. Many previous studies have focused on patients with eosinophilic asthma and murine models of allergic asthma. It is possible that different subtypes of asthma, such as obesity-associated asthma, respond differently to statins given the presence of neutrophilic rather than eosinophilic inflammation31. We also did not exclude patients with concomitant asthma and chronic obstructive pulmonary disease, who may also respond differently to statins. Further studies are needed to explore the effects of statins on different asthma phenotypes.

Conclusion

Using a large population-based cohort of subjects with asthma, we found that statin use was associated with a decreased risk of asthma-related ED visits among ICS users. Despite a non-significant statistical interaction, our findings suggest a possible biological interaction between statins and ICS therapy, as the beneficial effects of statins were noted only among ICS users. Our study adds to the existing body of literature suggesting beneficial effects of statins on asthma exacerbations and larger clinical trials powered to examine asthma exacerbations are needed to confirm these effects.

Supplementary Material

Supplemental Table

Acknowledgments

Transparency

Declaration of funding

This work was funded by National Institutes of Health grants U01 HL65899 and R01 HL92197. This paper is subject to the NIH Public Access Policy (http://publicaccess.nih.gov).

Declaration of financial/other relationships

S.T.W. has served as an unpaid consultant for GlaxoSmithKline, Genetech, Novartis, Merck, Genome Network Sciences and Schering Plough. S.L.C. serves as a paid HE/OR advisor to Novo Nordisk, and has previously been employed by Medco Research Institute LLC, a wholly owned subsidiary of Express Scripts Holding Co. Inc. He is currently employed by Sanofi-Aventis. A.C.W. has received grant funding from the NIH. E.S. is an employee of Novartis Pharmaceuticals. S.M.T., V.H., S.G., A.A.L., and A.C.W. have disclosed that they have no significant relationships with or financial interests in any commercial companies related to this study or article.

CMRO peer reviewers may have received honoraria for their review work. The peer reviewers on this manuscript have disclosed that they have no relevant financial relationships.

Contributor Information

Sze Man Tse, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA; Massachusetts General Hospital, Boston, MA, USA.

Scott L. Charland, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA Outcomes Liaison, Evidence-Based Medicine, Sanofi-Aventis, Winter Park, CO, USA; Formally with Medco Research Institute, LLC, Bethesda, MD, USA (currently a wholly owned subsidiary of Express Scripts Holding Co. Inc.).

Eric Stanek, Formally with Medco Research Institute, LLC, Bethesda, MD, USA (currently a wholly owned subsidiary of Express Scripts Holding Co. Inc.).

Vivian Herrera, Formally with Medco Research Institute, LLC, Bethesda, MD, USA (currently a wholly owned subsidiary of Express Scripts Holding Co. Inc.).

Seth Goldfarb, Formally with Medco Research Institute, LLC, Bethesda, MD, USA (currently a wholly owned subsidiary of Express Scripts Holding Co. Inc.).

Augusto A. Litonjua, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA

Scott T. Weiss, Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA.

Ann Chen Wu, Center for Child Health Care Studies, Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA; Department of Pediatrics, Children’s Hospital, Boston, MA, USA.

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