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Observational Study
. 2022 Aug;36(4):247-259.
doi: 10.1007/s40290-022-00433-z. Epub 2022 Jul 4.

Potential Channeling Bias in the Evaluation of Cardiovascular Risk: The Importance of Comparator Selection in Observational Research

Affiliations
Observational Study

Potential Channeling Bias in the Evaluation of Cardiovascular Risk: The Importance of Comparator Selection in Observational Research

Hu Li et al. Pharmaceut Med. 2022 Aug.

Abstract

Background: Comparator selection is an important consideration in the design of observational research studies that evaluate potential associations between drug therapies and adverse event risks. It can affect the validity of observational study results, and potentially impact data interpretation, regulatory decision making, and patient medication access.

Objective: The aim of this study was to assess the impact of comparator selection bias using two real-world case studies evaluating an increased rate of acute myocardial infarction (AMI).

Methods: Data from the Truven Health Analytics MarketScan® electronic medical claims database were used to conduct two retrospective observational cohort studies, utilizing a cohort new-user design, comparing AMI risk between testosterone replacement therapy (TRT) and phosphodiesterase-5 inhibitors (PDE5is) in men treated for hypogonadism, and triptans versus other prescribed acute treatments for migraine in adults. All patients were enrolled continuously in a health plan (no enrollment gap > 31 consecutive days) for ≥ 1 year before index. Baseline period was defined as 365 days prior to index. Exposure was defined by prescription and outcome of interest was defined as occurrence of AMI. Using Cox proportional hazard models, primary analysis for the TRT cohort compared AMI risk between propensity score (PS)-matched TRT-treated and untreated patients; secondary analysis evaluated risk between PS-matched TRT-treated and PDE5i-treated patients. For the triptan cohort, primary analysis compared AMI/ischemic stroke risk between PS-matched triptan-treated and opiate-treated patients; secondary analysis evaluated risk between PS-matched triptan-treated and nonsteroidal anti-inflammatory drug (NSAID)-treated patients and PS-matched non-prescription-treated migraine patients and general patients.

Results: No significant association between TRT and AMI was observed among TRT-treated (N = 198,528, mean age 52.4 ± 11.4 years) versus PDE5i-treated men (N = 198,528, mean age 52.3 ± 11.5 years) overall (adjusted hazard ratio [aHR] 1.01; 95% CI 0.95-1.07; p = 0.80). Among patients with prior cardiovascular disease (CVD), risk of AMI was significantly increased for TRT-treated versus PDE5i-treated patients (aHR 1.13; 95% CI 1.03-1.25). The triptan study included three comparisons (triptans [N = 436,642] vs prescription NSAIDs [N = 334,152], opiates [N = 55,234], and untreated migraine [N = 1,168,212]), and a positive control (untreated vs general non-migraine patients [N = 11,735,009]). Analyses of MI risk in migraine patients prescribed triptans versus NSAIDs/opiates had mixed results: the point estimate ranged from 0.33 to 0.84 depending on chosen study window.

Conclusions: Cardiovascular outcomes were not worse in hypogonadism patients with TRT versus PDE5i; however, a potential association with AMI was found in patients with prior CVD receiving TRT versus PDE5i. Findings pointed to a pseudo-protective effect of triptans versus untreated migraine patients or those potentially older and less healthy patients exposed to prescription NSAIDs or opiates. Triptan users should not be compared with those using other anti-migraine prescriptions when evaluating cardiovascular outcomes in migraine patients. Presence of high cardiovascular risks may contribute to channeling bias-healthier subjects being selected to receive treatment-highlighting the importance of choosing comparators wisely in observational studies.

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Conflict of interest statement

Francis Mawanda, Robert Goodloe, and Maurice Vincent are full-time employees of Eli Lilly and Company, Indianapolis, IN, USA and are minority holders of company stock. Lucy Mitchell is a full-time employee of Eli Lilly and Company, Lilly UK, Surrey, United Kingdom and a minority holder of company stock. At the time the study was conducted, Xiang Zhang, Stephen Motsko and Hu Li were full-time employees of Eli Lilly and Company, Indianapolis, IN, USA and minority holders of company stock. Xiang Zhang is currently affiliated with CSL Behring, King of Prussia, PA, USA. Hu Li is currently affiliated with Gilead Science, Foster City, USA. Stephen Motsko is currently affiliated with Amgen, Thousand Oaks, USA.

Figures

Fig. 1
Fig. 1
Disposition of patients identified from the Truven Health Analytics MarketScan® research database between January 2005 and December 2016. N number of patients; NSAIDs nonsteroidal anti-inflammatory drugs

References

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