CODING FOR AN ANTICOAGULANT: SYSTEMATIC REVIEW OF PHARMACOGENETICS-GUIDED WARFARIN THERAPY ON THE THERAPEUTIC AND ADVERSE CLINICAL EVENTS ON PATIENTS WITH ATRIAL FIBRILLATION, PULMONARY EMBOLISM, AND DEEP VEIN THROMBOSIS
HTML Full TextCODING FOR AN ANTICOAGULANT: SYSTEMATIC REVIEW OF PHARMACOGENETICS-GUIDED WARFARIN THERAPY ON THE THERAPEUTIC AND ADVERSE CLINICAL EVENTS ON PATIENTS WITH ATRIAL FIBRILLATION, PULMONARY EMBOLISM, AND DEEP VEIN THROMBOSIS
Amy Marie Green, Marcia Brackbill, Arthur F. Harralson and Sean Hyungwoo Kim *
Shenandoah University Bernard J. Dunn School of Pharmacy, 1775 North Sector Ct, Winchester, VA 22601 USA.
ABSTRACT: Background: Warfarin is an anticoagulant widely used to prevent thromboembolic events (TEs) in patients with various cardiovascular (CV) diseases. Pharmacogenomics (PGx)-guided testing is a growing method suggested to help predict warfarin dosing. A systematic review was performed to compare the incidence of thromboembolic events (TEs), bleeding events (BEs), time in therapeutic range (TTR), the proportion of time to therapeutic range (PTTR) and warfarin dose adjustments between PGx-guided warfarin therapy and standard of care (SOC) in patients with non-valvular atrial fibrillation (Afib), pulmonary embolism (PE), and deep vein thrombosis (DVT). Methods: Two reviewers independently searched MEDLINE, CINAHL, Web of Science, Embase, Cochrane Library and clinicaltrials.gov databases from October 2019-August2022 to identify studies. Abstracts were reviewed for outcomes of interest and patient demographics to identify patients present with International Normalized Ratio (INR) readings, TTR, PTTR, BEs and TEs. Results: From the database search, 28 articles were retrieved based on abstract screening. A total of 6 articles were ultimately selected for the systematic review. All articles found favor in the PGx-guided group in terms of TTR. There were findings favoring PTTR, decreased BEs, and fewer dose adjustments in the PGx-guided group. Conclusion: Results of the systematic review demonstrate that PGx-guided warfarin dosing may establish a longer TTR than SOC. In select patients, PGx-guided warfarin therapy may decrease PTTR, reduce BEs, and require fewer dose adjustments. There was no noted benefit in PGx-guided therapy to reduce TEs.
Keywords: Atrial Fibrillation (Afib), Pulmonary Embolism (PE), Deep Vein Thrombosis (DVT), Pharmacogenomics (PGx), Warfarin
INTRODUCTION: Warfarin is an oral anticoagulant (OAC) or Vitamin K antagonist (VKA) that is widely used for the prevention and treatment of thromboembolic events (TEs) in the world 1.
However, oral VKAs are challenging drugs to use since they interact with numerous other drugs, and food, and demonstrate wide interpatient variability in metabolism and sensitivity 2.
Adverse events due to increased warfarin sensitivity may harm patients by increasing the risks of serious bleeding, including hemorrhagic events (i.e. bleeding in the brain or intracerebral hemorrhage). About 5-12% of intracerebral hemorrhage is related to warfarin, leading to an estimated annual incidence in the US of nearly 3,000 cases 3-5.
These warfarin-induced intracerebral hemorrhages tend to happen most frequently during the first year of warfarin therapy, with the risk being most prominent during the first month of therapy. Additionally, warfarin therapy’s significant bleeding risk entails 0.6, 3 and 9.6% incidence of fatal, major and minor bleeds on an annual basis, respectively 6. The cost of warfarin compared to other oral anticoagulants known as direct oral anticoagulants (DOAC) (i.e., dabigatran is an example of DOAC that does not require dose titration like warfarin) per se is low. Still, International Normalized Ratio (INR) monitoring is likely associated with large healthcare resources 7.
Warfarin is closely monitored with a laboratory parameter known as the INR, which measures how long it takes for blood to clot. High INR levels indicate that patients on warfarin are bleeding too much (or bleeding does not stop when necessary). Low INR levels indicate that patients with cardiovascular conditions are at risk of forming blood clots or TEs that can adversely affect different body organs (i.e., pulmonary embolism (PE) for the lung, ischemic stroke for the brain). Although the benefits of warfarin for TE protection are supported by high evidence of patients with cardiovascular (CV) diseases such as atrial fibrillation (Afib) or a history of TE, warfarin is a double-edged sword as a medication because small interpatient variability in warfarin dosing can have adverse consequences. Warfarin is among the top 10 drugs with the largest number of serious adverse event reports and accounts for over 10% of hospital admissions related to adverse drug reactions 8.
In January 2015, the Obama administration launched the Precision Medicine Initiative (PMI) to accelerate the translation of scientific discoveries into individual treatments 9. In addition, the 21st Century Cures Act provides funding to extend precision medicine to all diseases through PMI and allows the Food and Drug Administration (FDA) to review evidence regarding usage, or the potential benefits and risks of a drug from sources other than randomized clinical trials for new drug approvals 10, 11. Data sources include electronic health records, claims, billing data, and health applications 12. Precision medicine relies on complex laboratory tests to identify specific chromosomal, DNA, RNA, protein, or metabolite abnormalities in patients’ blood or tissue 13. PGx is the study of how genes affect an individual’s response to drugs. Commercially available since 2006, the development of next-generation sequencing offered a cost-efficient and time-effective method for sequencing DNA, which served a significant step forward in personalized medicine 14. Pre-emptive PGx testing remains at the forefront of precision medicine as an individual’s genetic makeup is analyzed 15, 16; pre-emptive approaches seek to optimize drug therapy by screening patients for multiple PGx variants before an indication for pharmacotherapy 17, 18.
One example of a pre-emptive approach to drug therapy optimization is PGx-guided warfarin dosing. This may prove more beneficial than a reactive approach, as an out-of-range INR may indicate that a patient is not receiving their appropriate dose of warfarin and places said patient at a higher risk of coagulation- or bleeding-associated harm. Indeed, a pre-emptive PGx-guided approach minimizes clinicians’ trial and error method for therapy optimization in patients with CV diseases such as Afib, PE, and deep vein thrombosis (DVT).
CV diseases are the leading cause of death worldwide, accounting for 31% of all deaths (17.9 million people in 2016) 19. Approximately, $555 billion in CV-related direct and indirect healthcare costs were incurred in the United States of America (USA) in 2016. These costs are projected to increase to $1.1 trillion by 2035 20. CV treatment is at the forefront of PGx-guided therapy due to significant variation in treatment response. To achieve therapeutic anticoagulation, daily doses of warfarin can vary up to 20-fold among patients 21. In addition to the variation that can be attributed to various sociodemographic characteristics, genetic determinants have been identified as a risk factor affecting drug metabolism, absorption, and distribution mechanisms 22. Hence, PGx-guided warfarin dosing algorithms are hypothesized to help patients to maintain appropriate therapeutic INR levels and lower the risk of adverse events. Since the half-life of warfarin is about 17 hours in patients without PGx variants, the therapeutic anticoagulant effects of warfarin take, on average, 3 days to reach a stable value if warfarin concentrations are constant 23. However, 3 days may not be a completely adequate predictor of warfarin’s effects and INR interpretation for some patient populations with PGx variants; therefore a number of days for adequate control of warfarin dosing might not be definitive. Because warfarin has a very narrow therapeutic range as well as patients’ variability of genes such as cytochrome P450 (CYP) 2C9 and Vitamin K epoxide reductase complex subunit 1 (VKORC1), finding the optimal initial/maintenance warfarin dose can be challenging. In recognition of these variants, the FDA changed the warfarin package insert label in 2007 for physicians to consider VKORC1 and CYP2C9 genetic testing for safety and efficacy of warfarin use 24, 25.
Recent studies suggest pharmacogenomic (PGx)-guided therapy improves various pharmacologic outcomes, such as time in therapeutic range (TTR), the proportion of time to therapeutic range (PTTR), dosage adjustments, TEs and bleeding events (BE), in relation to anticoagulation therapy in warfarin-naive patients 21, 26, 27. However, the extent to which PGx-guided therapy improves outcomes amongst different populations is inconsistent in terms of therapeutic range in ethnicity, with certain populations benefiting more than others. Specifically, in an article by Syn et al., ethnically diverse Asian patients from various hospitals in Southeast Asia did not have significantly improved PTTR or BEs findings with PGx use. However, PGx-guided warfarin therapy reduced the dosage adjustments needed within his same population 28.
In a study by Kimmel et al., a subgroup analysis of PGx-guided warfarin therapy on Black and non-Black populations suggested that these ethnicities may respond differently to therapy with certain PGx testing in place. However, the study was underpowered in its ethnicity comparison, and further research is needed on this topic 29. This literature inconsistency of PGx-guided warfarin therapy is also true for patients suffering from CV diseases since those who suffer from CV diseases are at a higher risk of recurrent adverse CV events, and anticoagulation therapy is imperative. With warfarin being the most affordable and accessible anticoagulant on the market, there is a high demand for its use 8. Due to warfarin’s nature for adverse BEs, patients who are most likely to use warfarin, such as those with a CV event history, are at the greatest risk of experiencing the aforementioned adverse effects, including potential uncontrolled coagulation. PGx-guided therapy offers a solution to this problem by providing pre-determined prescription suggestions on how to dose warfarin properly before initiation. Unfortunately, due to varying results and lack of cumulative evidence for specific patient populations, collecting and implementing genomic information on everyone in the general practice setting is up for debate as to whether it is worthwhile or not 21, 26, 27. As mentioned earlier, the double-edged sword of warfarin therapy is a clinical consideration for implementing PGx-guided warfarin testing to minimize trial-and-error compared to the standard of care (SOC). Hence, there is an evident knowledge gap on how PGx-guided therapy can improve warfarin initiation for patients who suffer from select CV diseases that warrants a systematic review. The objectives were to:
- To compare the incidence of TEs and BEs in relation to safety outcomes between the PGx-guided warfarin therapy group versus the SOC group in the cardiovascular disease population.
- To examine the impact of PGx-guided warfarin therapy on TTR, PTTR and dosing adjustments by comparing efficacy outcomes (therapeutic outcomes) in these two groups of interest.
Materials & Methods:
Systematic Review: This systematic review was performed according to the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines 30. Articles were identified from MEDLINE, CINAHL, Web of Science, Embase, the Cochrane Library and clinicaltrials. gov database for studies on PGx-guided warfarin therapy compared to an SOC in patients. The search terms were a combination of the following: “warfarin,” “pharmacogenomics,” “anticoagulation,” “cardiovascular disease,” “atrial fibrillation,” “pulmonary embolism,” and “deep vein thrombosis.” Articles were further reviewed and identified based on the inclusion of a combination of the key terms. Both RCTs and observational studies were taken into consideration. Identified articles were of the English language, including international studies initially written in other languages which were then translated into the English language.
Inclusion and Exclusion Criteria: Abstracts were reviewed for the outcomes of interest and appropriate transitions of care protocol. Demographics were reviewed to identify patients present in the study who had previous CV events of interest. These studies worked independently and measured outcomes based on INR readings, such as TTR and PTTR and adverse effects, such as the occurrence of bleeding and TEs. Articles that reported one or more of these clinical outcomes, possessed a standard of care control protocol for the control group, focused on the aforementioned CV events of interest, utilized PGx testing and selected warfarin as the treatment of choice, met the inclusion criteria for the systematic review. Articles were excluded if the study was not PGx related, warfarin was not the anticoagulant of choice, not CV related, or the patient population experienced a heart valve replacement. If the population of interest had non-human subjects, such as animals, the study was excluded. Additionally, articles which were meta-analysis or systematic review, displayed lack of power or control group, had heterogeneous outcomes, or expressed bias such as promotional funds, were also excluded. Articles which received funding from PGx or warfarin-related corporations were classified as biased. If the presence of bias was unclear, the article was eliminated to assure only unbiased work was represented. Randomized controlled trials (RCTs) as well as retrospective and prospective cohort studies were considered for outcome of interest. All articles considered had to be no earlier than 2006 to reflect when PGx testing platforms became commercially available for clinical practice. A total of two independent reviewers evaluated each study to determine if the inclusion criteria were met and to verify no exclusion criteria were overlooked.
Data Extraction: The main search and the screening of abstracts were conducted independently by two authors (AG and SK). Differences were resolved by consensus between the two reviewers. The literature review and selection of articles were conducted from October 2019 to August 2022.
RESULTS: Of the articles produced in the database search, 28 articles were retrieved for possible inclusion in the systematic review based on abstract screening. Through the initial review of the 28 articles, 16 articles were identified for the systematic review due to the inclusion of relevant topics, such as PGx, CV and warfarin use. Of those 16 articles, only a total of 6 articles met the specific inclusion criteria and were ultimately included, accumulating a total of 2,278 enrolled patients. The exclusion criteria were primarily due to unspecified control standards, lack of power, and not meeting this systematic review’s specific criteria. Fig. 1 shows a flow diagram of the search strategy and review process 6, 27, 29, 30-33.
FIG. 1: PRISMA FLOWCHART REPRESENTING THE RESULT OF THE SEARCH STRATEGY AND THE NUMBER OF ARTICLES EXCLUDED AND ELIGIBLE FOR REVIEW
The study methods, baseline practice characteristics and findings of each study are summarized in Table 1, where “favor” indicates the numerical superiority of desired outcomes in one study group to another, with or without statistical significance 6, 27, 29, 30-33. Within the 6 selected articles, common characteristics included clear SOC protocols, large populations of enrollees with the specific CVs of interest, the use of PGx-guided techniques to initiate warfarin therapy, and identical means to measure coagulation rates. Despite the common design of therapy provision and goals, the methods in each study differed in select ways. This can be observed primarily in the various follow-up periods, design of the trials, as well as in populations of interest.
TABLE 1: ANALYSIS OF INCLUDED TRIALS
Study, year | Design | Details of Research/Article | Patient CV hx | Findings | INR Goal | Follow Up |
Pengo et al, 2015 | RCT | Study aims to determine whether PGx testing (CYP2C9, VKORC1, CYP4F2) based therapy for warfarin is superior to SOC. | Afib | TTR favors PGx group over SOC in terms of time outside of INR* | Not falling outside of the range of <2 and 3< | All patients had a minimum for 30 days follow-up. 397 median days for PGx group and 359 median days for SOC group for follow up |
Kimmel et al, 2013 | RCT | Study aims to compare PGx (CYP2C9, VKORC1) and SOC for warfarin dosing strategies | Afib, DVT, PE | TTR favors PGx group with African American race over SOC* | INR 2-3 | All patients were followed for a total of 6 months. |
Makar-Ausperger et al, 2018 | RCT | Study aims to determine efficacy and safety of PGx testing (CYP2C9, VKORC) based therapy for warfarin use compared to SOC. | Afib, DVT, PE | TTR favors PGx group over SOC for patients with Afib* | INR 2-3 | All patients were followed up the first 5 days of initiating therapy then to the end of the 4th week |
Jorgensen et al, 2019 | Cohort | Study aims to determine whether PGx (CYP2C9, VKORC1) based therapy for warfarin could translate into routine clinical practice for Afib or VTE patients compared to SOC | Afib, DVT, PE | TTR favors PGx group over SOC*; PGx testing less likely for INR >4 occurrences | INR 2-3 | All patients remained in the project for follow up for at least 2 weeks. A large majority of patients were followed up for a max of 12 weeks (84 days) |
Caraco et al, 2008 | RCT | Study aims to determine if PGx testing (CYP2C9) prior to warfarin therapy for safety and efficacy compared to SOC | Afib, DVT, PE | TTR favors PGx group over SOC*; PTTR favors PGx group over SOC*; INR favors PGx group over SOC* and with an average interval of consecutive INR tests being greater in PGx group | INR 2-3 | All patients were followed up for daily monitoring for the first 8 days and then until therapeutic INR range was reached for >2 days, which was around 22.1 days for PGx and 40.2 days for SOC |
Pirmohamed et al, 2013 | RCT | Study aims to compare the level of anticoagulation in PGx (CYP2C9*2, CYP2C9*3, VKORC1) and SOC for warfarin therapy | Afib, VTE | TTR favors PGx group over SOC*; PTTR favors PGx group over SOC; Thromboembolic events did not happen in the PGx group; Fewer dose adjustments in PGx group* | INR 2-3 | All patients were followed for 3 months of therapy |
RCT randomized control trial, PGx pharmacogenomic intervention, SOC standard of care, Afib atrial fibrillation, PE pulmonary embolism, VTE venous thromboembolism, PTTR time to reach therapeutic range, TTR time in therapeutic range, hx history, * statistically significant finding |
However, the core principles behind each program focused on the instances of TE and BE as well as the measured TTR and PTTR following protocols which best suited their practice 6, 27, 29, 30-33. The definition of statistical significance remained fairly consistent between each study, where significance was defined as either a p-value of equal to or less than 0.05 6, 27, 29, 30-33. The only study which diverged from this Kimmel et al., which defined significance as a p-value equal to or less than 5.5% 29. In addition, only 2 articles, Kimmel et al. and Makar-Ausperger et al., indicated that the intention-to-treat method was applied to their respective studies 29, 31. Follow-up time was largely variable between the studies, ranging from days to months, with the longest documented follow-up time being 1037 days 27, 31. Three of the 6 studies had unfixed follow-up periods; 2 of which provided a minimum number of days to follow up, while the remaining 1 set a therapeutic goal to discontinue follow up 6, 27, 31. During each follow up, the same therapeutic goal was shared in each study: an INR ranging from 2 to 3. Each study also shared one common gene to genetically test, which was CYP2C9. Another shared aspect was that each study included warfarin-naive individuals with a history of Afib 6, 27, 29, 30-33. The reported patient characteristics are summarized in Table 2 6, 27, 29, 30-33. Based on the 6 articles, the typical patient were aged from mid-50s to mid-70s and had a former cardiovascular event, including one or a combination of Afib, PE, or DVT. Patients primarily were of European, Black, non-Black and Israeli descent based on geographical location and documented ethnicities. The studies’ subjects were drawn from populations in Europe, the USA, and Israel 6, 27, 29, 30-33.
TABLE 2: PATIENT CHARACTERISTICS OF INCLUDED TRIALS
Study, year | Number of Enrollees | Typical Age: PGx, SOC (mean, median, not specified) | Male Sex: PGx%, SOC% | Where Study was Conducted (Ethnicity) | Afib % of total patients in study | DVT % of total patients in study | PE % of total patients in study | VTE % of total patients in study |
Pengo et al, 2015 | 200 | 71, 75 (median) | 65.9, 65.2 | Italy (Caucasian) | 100 | 0 | 0 | N/A |
Kimmel et al, 2013 | 1015 | 59, 57 (median) | 53, 49 | USA (non-Black and Black) | 21.8 (Afib only) | Unknown total | Unknown total | 58.0 (PE or DVT only) |
Makar-Ausperger et al, 2018 | 205 | 70, 73 (not specified) | 51.9, 43.4 | Croatia | 30.2 | 60 | 19.5 | N/A |
Jorgensen et al, 2019 | 212 | 72.14, 69.65 (mean) | 52.94, 54.84 | England (parents and grandparents of White ancestry) | 78.8 | 9.9 | 11.3 | N/A |
Caraco et al, 2008 | 191 | 57.6, 59.7 (not specified) | 48.4, 43.8 | Israel | 34 | 27.2 | 21.5 | N/A |
Pirmohamed et al, 2013 | 455 | 67.8, 66.9 (mean) | 64.2, 57.9 | Sweden and UK | 72.1 | Unknown total | Unknown total | 27.9 |
PGx pharmacogenomic intervention, SOC standard of care, Afib atrial fibrillation, DVT deep vein thrombosis, PE pulmonary embolism, VTE venous thromboembolism, USA United States of America, UK United Kingdom |
Pengo et al., Kimmel et al., Makar-Ausperger et al., and Pirmohamed et al. had the greatest number of patients with a history of Afib, with Pengo et al. having only Afib as the population of interest 27, 29, 31, 33. Pengo et al., Jorgensen et al., and Pirmohamed et al. had the highest percentage of Afib patients in their studies, ranging from 72.1-100% 27, 32, 33. Makar-Ausperger et al., Jorgensen et al., Caraco et al., and Kimmel et al. each studied Afib, DVT and PE, whereas Pirmohamed et al. only studied Afib and venous thromboembolism (VTE) 6, 29, 31-33. Makar-Ausperger et al. and Caraco et al. both have the highest documented percentage and highest count of DVT patients, ranging from 27.2-60% and 52-127 patients, respectively. Makar-Ausperger et al. and Caraco et al. also documented PE patients' highest percentages and counts, ranging from 19.5-21.5% and 40-52 patients, respectively 6, 31. Unfortunately, the quantity of DVT and PE participants in Pirmohamed et al’ study is inconclusive due to VTE being inclusive of DVT and PE. The exact counts of DVT and PE were also unclear in the studies by Kimmel et al. due to only a total count of the two being provided, which totaled 589 subjects with DVT or PE only, accounting for 58% of the total population 29. The specific CV event counts were based on primary indication for warfarin or clinical characteristics and history, with the latter being prioritized when both were provided 6, 27, 29, 30-33.
Safety Outcomes (Objective 1): Pengo et al., Jorgensen et al., Caraco et al., Kimmel et al., and Pirmohamed et al. all studied TE and BEs. These studies found no statistically significant differences between the PGx group and SOC for TE outcomes. Also, only Caraco et al. noted statistically significant outcomes for Bes 6, 27, 29, 32, 33. Pengo et al. and Kimmel et al. stated that, although no statistically significant findings were associated with BEs and TEs in either control group, the trial was not adequately powered to detect possible differences in these outcomes. Jorgenson et al noted a similar limitation in TE and BE measurements, stating that time in the therapeutic INR range rather than clinical events of TE or BE as an outcome measure, concluding statistical power to assess for occurrence differences was not established. However, Jorgenson et al. documented that the PGx group was less likely to have an INR >4 and more likely to have an INR <2 32. Pirmohamed et al. noted a TE event occurring in the SOC group and none in the PGx group, although not statistically significant 33. Caraco et al. determined a statistically significant finding for fewer incidences of minor BE favoring the PGx group; however, they did not find statistically significant outcomes only with the average interval of consecutive INR tests 6. Only Pengo et al. and Pirmohamed et al investigated this topic in terms of dosage adjustments. Based on their findings, only Pirmohamed et al. found statistically significant fewer dosage adjustments were necessary to achieve a therapeutic INR range for the PGx-guided group compared to SOC. This study found that 4.9 adjustments were necessary in the PGx-guided therapy compared to 5.4 dosage adjustments in the SOC 33. As for Pengo et al., the number of dose adjustments was not different between PGx-guided therapy and SOC 27.
Therapeutic Outcomes (Objective 2): All articles studied TTR and expressed statistically significant findings in TTR in favor of the PGx-guided warfarin if sub-group analysis is considered. However, in the Makar-Ausberger study, only the Afib population showed a statistically significant difference in TTR favoring the PGx-guided group 31. The population in Kimmel et al. was pooled from the USA. The population was further sub-analyzed into Black and non-Black, with the Black population showing statistically significant favor for TTR in the PGx group 29.
PTTR was evaluated in Pengo et al., Caraco et al., Kimmel et al., Makar-Asperger et al., Pirmohamed et al., Pengo et al., Kimmel et al., and Makar-Asperger et al. found no statistical significance 6, 27, 29, 31, 33. However, Caraco et al. and Pirmohamed et al. found favor for the PGx-guided groups 6, 33. Caraco et al. found the PTTR was established earlier in the PGx group compared to SOC, by an average of 2.73 days earlier 6. As for Pirmohamed et al., statistical significance was determined with PTTR in the PGx group, achieving a therapeutic range of 21 days, whereas the SOC group averaged 29 days 33. In the study by Kimmel et al., the Black population was indicated to have a superior PTTR in the SOC group 29.
DISCUSSION: Warfarin is a challenging drug to dose due to its narrow therapeutic index, whereas PGx offers insight into warfarin dosing before initiation 2, 8, 21, 24-27. Due to warfarin being frequently used in patients with various CV diseases, these populations will likely benefit from improved warfarin dosing techniques, specifically those with Afib, PE, and DVT 1, 24. This systematic review suggests PGx-guided warfarin therapy improves TTR therapy and can have beneficial outcomes for PTTR, decreased BEs, and fewer dose adjustments. No articles indicated a statistically significant reduction in TE when comparing the SOC and PGx-guided therapies, suggesting no therapeutic benefit. Additionally, patients with Afib, PE, and DVT all displayed benefits in PGx-guided therapy, whereas patients with Afib suggested the strongest benefit from PGx-guided therapy. Previous studies noted that warfarin contributes to fatal, major, and minor bleeds globally 3-6.
With Caraco et al. also noting that warfarin-induced major hemorrhages tend to occur most frequently during the first year of therapy, indicating the need for further exploration in PGx-guided warfarin therapy for reducing BEs. As mentioned in the results of Caraco et al., there were significantly more BEs in the SOC group compared to the PGx-guided group for warfarin dosing. Specifically, BE occurred in 12.5% of the SOC group and 3.2% in the PGx-guided group, accumulating 15 BEs, with 14 of said BEs being minor. A total of 5 of these BEs occurred during the first 8 days of induction, with 4 in the SOC and 1 in the PGx-guided groups. The 1 instance of a major BE concerning a serious lower gastrointestinal bleed occurred after 9 days of therapy in the SOC group, which interestingly occurred with an INR value of 1.74. Unfortunately, the study was not designed to identify differences in the rate of bleeding complications or was defined as a primary study endpoint. However, the risk of bleeding was measured using two surrogate markers: the number of days with an INR >3 and the extent of deviation from the therapeutic range of 2-3. According to these surrogate markers, the risk of bleeding was significantly higher in the SOC group 6.
Since the power was limited in the other 4 studies which evaluated BEs, which suggested no statistical significance between the SOC and PGx-guided groups, more research is necessary to establish the true effects of PGx-guided warfarin therapy in managing Bes 27, 29, 32, 33. Nevertheless, the findings from these studies may offer some preliminary insight for future research. For instance, Kimmel et al. noted that major BEs, as defined by the Italian Study on Complications of Oral Anticoagulant Therapy (ISCOAT), occurred more frequently in the SOC group.
Namely, 10 subjects in the SOC group compared to 4 in the PGx-guided group experienced a major BE, where the INR was elevated to >3 in 1 SOC subject and 3 PGx-guided subjects 29. As for Pirmohamed et al., no major BEs were reported in either group; however, 3 clinically-significant minor BEs requiring hospital admission and 1 TE event all happened in the SOC group, none in the PGx-guided group 33. In an interesting contrast to this, the study by Jorgensen et al. reported no subjects in the SOC experienced BEs and 1 subject in the PGx-guided group experienced a bladder bleed and had to withdraw from the study 32. Another study that may offer further insight into PGx-guided warfarin therapy and BEs is a study by Panchenko et al., which was conducted in Russia in 2020. In this study, both the SOC and PGx-guided groups started on 5mg of warfarin. However, on day 3 the SOC group made dosage adjustments based on INR, and the PGx-guided group adjusted on day 5 using the Gage algorithm to interpret the genetic findings. Using the ISCOAT definition for major BEs, there were 6 major bleeds in the SOC group, with 5 of these instances developing in carriers of at least 1 genetic polymorphism for increased warfarin sensitivity.
Interestingly, with BEs being the highest in the first month of therapy, PGx-guided therapy was found to significantly reduce the number of BEs with an INR ≥4 in this time frame, with instances in 4.8% in the PGx-guided group and 23.7% in the SOC group. It is important to note that, although the outcomes of this study are similar to this systematic review, this study was ultimately excluded due to inconsistencies in the INR goals, which was a lower target range than the recommended 2-3 INR therapeutic range implemented in Western society 34.
Concerning all the findings evaluated in this systematic review, more research is necessary to establish the clear relevance of PGx-guided warfarin dosing and consequential BEs. Within this systematic review, the populations were predominantly Caucasian; however, there was some variance in ethnicities which offered additional insight into population-specific benefits. Based on the information provided by the included articles, it is suggested that patients with a European, non-Black, and Israeli heritage seem to display more beneficial therapeutic outcomes from the PGx-guided therapy 6, 27, 29, 30-33. However, according to the study by Kimmel et al., Blacks using PGx-guided warfarin therapy show both risk due to a delayed PTTR and benefit in achieving a longer TTR with PGx-guided warfarin therapy. Although, it is important to note that the study did not test for the CYP2C9 variants that frequently occur in the Black population. Specifically, the common CYP2C9 variants in Blacks would include *5, *6, *8, and *11; however, the study only tested *2 and *3, which are most common in the Caucasian populations 29. This systematic review recommends a risk versus benefit consultation of PGx-guided warfarin therapy and provider judgment when recommending PGx-guided warfarin therapy for the Black population until more information is gathered to provide adequate guidance. Overall, those of European, non-Black, or Middle-Eastern descent in their 50s or older with Afib are the ideal populations likely to benefit the most from PGx-guided warfarin therapy to achieve sooner PTTR and likely a longer TTR, decreased BEs, and fewer dose adjustments.
A strength of this study included a thorough literature search, which was conducted using various tertiary and secondary resources, especially with two independent researchers. Using this thorough search as well as clear inclusion and exclusion criteria allows more patient-specific related outcomes with more supporting evidence of aforementioned outcomes. Another strength of this study is that it is the first of its kind to evaluate PGx compared to a SOC for initial warfarin therapy about Afib, PE and DVT cases. Specifically, many other systematic studies focus on PGx overall outcomes on possibly one disease state with less elaboration on population differences. In contrast, this study prioritizes the populations and Afib, PE, and DVT disease states. Ultimately, this study helped fill the gap in knowledge of how PGx-guided warfarin therapy will likely affect patients with specific CV diseases. Additionally, this study collected and evaluated multiple sources of literature over an extended period of over 18 months, allowing a thorough search. Using two independent reviewers further limited any review bias when establishing article selection.
In terms of limitations to this systematic review, limited studies met the inclusion and exclusion criteria. Since only 6 articles were included in this systematic review, the outcomes patients may experience with PGx-guided warfarin therapy might not comprehensively represent all patients’ clinical outcomes. Another limitation of this systematic review is that within the reviewed articles, there were limited observational studies available. Five of the 6 articles used in this systematic review were RCTs, which offered insight into PGx-guided warfarin therapy in an environment with limited confounding effects 6, 27, 29, 30-33. However, RCTs have fewer confounding effects and minimize extraneous factors, creating an environment that limits real-world application. Furthermore, the limited number of cohort studies may limit the study’s real-world application of PGx-guided warfarin dosing in an uncontrolled environment. Additionally, the use of RCTs can have limited insight from a chronological standpoint with a generally shorter follow-up period compared to cohorts which generally look at longer durations of time, which offers deeper insight for PGx-guided warfarin therapy.
Also, the genetic testing methods used within the studies included in this review varied, which may have implemented bias in initial warfarin dosing selection. Specifically, all articles tested the CYP2C9 genotype; however, not all articles tested the VKORC1 or CYP4F2 genotypes, which can be a limitation on what initial dose should be selected 6, 27, 29, 30-33. For instance, studies that tested 3 genetic components may have executed a more advanced initial dosing regimen over studies that reviewed only 1 genetic component. This is especially true without the VKORC1 genetic test, due to its impact on the vitamin K cycle and consequential therapeutic effects as highlighted in the Coumadin package insert 25. Because of this, it can be argued that studies without CYP2C9 and VKORC1 genetic testing would not be comparable to those with them. The lack of consistent and tailored genetic testing leaves an additional knowledge gap regarding the genetic testing interpretation and implementation. A final limitation to the study is that no included studies addressed the Asian population, which limits the recommendation for PGx-guided warfarin therapy use in this ethnic group.
The findings based on this systematic review may prompt future researchers to conduct a meta-analysis. However, this may pose a future challenge since the articles within this review had inconsistent outcomes of interest, and consistent outcomes of interest play a key role in forming a meta-analysis. The authors of this study took into consideration the possibility of a meta-analysis. They opted not to conduct one at this time due to the inconsistent outcomes and genetic testing approaches, making it difficult to assess the values quantitatively. An additional consideration for future research on the subject of PGx-guided warfarin therapy could be the financial impact this implication has on hospitals, insurance, and patient outcomes since none of the included studies of this systematic review addressed this topic. Ultimately, further future research is necessary to understand the influence of PGx-guided warfarin amongst various patient populations from an ethnic, genetic, financial, therapeutic, and disease-oriented standpoint.
CONCLUSION: This systematic review demonstrates that patients using PGx-guided warfarin dosing are more likely to establish a longer TTR than SOC treatment in patients with a history of Afib, PE, and DVT. In select patient populations, it is suggested that PGx-guided warfarin therapy may decrease PTTR, reduce BEs, and require fewer dose adjustments. However, there is no statistically significant benefit in PGx-guided therapy to reduce TEs. Future research is needed to understand further the extent of PGx-guided warfarin therapy in populations with CV diseases.
ACKNOWLEDGEMENTS: We are grateful to the authors of the contributing works, Jaehee Lee and newborn Angelina Taeri Kim, for all the social support. We also thank Linda Marie Green and Patrick Anthony Green for their constant social support.
Funding: This research did not receive any specific grant from the public, commercial, or not-for-profit funding agencies.
Ethics Approval and Consent to Participate: Not applicable
Consent for Publication: Not applicable
Data Availability: Not applicable. We used only published articles.
CONFLICT OF INTEREST: The authors declare that they have no competing interests
REFERENCES:
- Cervera Á, Amaro S and Chamorro Á: Oral anticoagulant-associated intracerebral hemorrhage. J Neurol 2011; 259(2): 212–24. https://doi.org/10.1007/s00415-011-6153-3.
- Anthony M, Romero K, Malone DC, Hines LE, Higgins L and Woosley RL: Warfarin interactions with substances listed in drug information compendia and in the FDA-approved label for warfarin sodium. Clin Pharmacol Ther 2009; 86(4): 425-9. doi: 10.1038/clpt.2009.95.
- Hart RG, Tonarelli SB and Pearce LA: Avoiding central nervous system bleeding during antithrombotic therapy: recent data and ideas. Stroke 2005; 36(7): 1588-93. doi: 10.1161/01.STR.0000170642.39876.f2.
- Hart RG, Boop BS and Anderson DC: Oral anticoagulants and intracranial hemorrhage. Facts and hypotheses. Stroke 1995; 26(8): 1471-7. doi: 10.1161/01.str.26.8.1471.
- Flaherty ML, Kissela B and Woo D: The increasing incidence of anticoagulant-associated intracerebral hemorrhage. Neurology 2007; 68(2): 116-21. doi: 10.1212/01.wnl.0000250340.05202.8b.
- Caraco Y, Blotnick S and Muszkat M: CYP2C9 genotype-guided warfarin prescribing enhances the efficacy and safety of anticoagulation: a prospective randomized controlled study. Clin Pharmacol Ther 2008; 83(3): 460-70. doi: 10.1038/sj.clpt.6100316.
- Björholt I, Andersson S, Nilsson GH and Krakau I: The cost of monitoring warfarin in patients with chronic atrial fibrillation in primary care in Sweden. BMC Fam Pract 2007; 8: 6. doi: 10.1186/1471-2296-8-6.
- Wysowski D, Nourjah P and Swartz L: Bleeding complications with warfarin use: a prevalent adverse effect resulting in regulatory action. Arch Intern Med 2007; 167(13): 1414-9. doi: 10.1001/archinte.167.13.1414.
- Collins FS and Varmus H: A new initiative on precision medicine. N Engl J Med 2015; 372(9): 793-5. doi: 10.1056/NEJMp1500523.
- Thompson CA: Bipartisan 21st Century Cures Act becomes law. Am J Health Syst Pharm 2017; 74(2): 8-10. doi: 10.2146/news170004.
- Califf RM: 21st Century Cures Act: Making progress on shared goals for patients. U.S. Food and Drug Administration.http://blogs.fda.gov/fdavoice/index.php/2016/12/21st-century-cures-act-making-progress-on-shared-goals-for-patients/. Published 2016. Accessed 17 Oct 2019.
- Gabay M: 21st Century Cures Act. Hosp Pharm 2017; 52(4): 264-5. doi: 10.1310/hpj5204-264.
- Lynch JA, Berse B, Dotson WD, Khoury MJ, Coomer N, Kautter J. Utilization of genetic tests: analysis of gene-specific billing in Medicare claims data. Genet Med 2017; 19(8): 890-9. doi: 10.1038/gim.2016.209.
- Morganti S, Tarantino P, Ferraro E, D'Amico P, Duso BA and Curigliano G: Next Generation Sequencing (NGS): A revolutionary technology in pharmacogenomics and personalized medicine in cancer. Adv Exp Med Biol 2019; 1168: 9-30. doi: 10.1007/978-3-030-24100-1_2.
- Shuldiner AR, Relling MV and Peterson JF: The Pharmacogenomics Research Network Translational Pharmacogenetics Program: Overcoming challenges of real-world implementation. Clin Pharmacol Ther 2013; 94(2): 207-10. doi: 10.1038/clpt.2013.59.
- Bielinski SJ, Olson JE and Pathak J: Preemptive genotyping for personalized medicine: design of the right drug, right dose, right time using genomic data to individualize treatment protocol. Mayo Clin Proc 2014; 89(1): 25-33. doi: 10.1016/j.mayocp.2013.10.021.
- Weitzel KW, Cavallari LH and Lesko LJ: Preemptive panel-based pharmacogenetic testing: the time is now. Pharm Res 2017; 34(8): 1551-5. doi: 10.1007/s11095-017-2163-x.
- Relling MV and Evans WE: Pharmacogenomics in the clinic. Nature 2015 5; 526(7573): 343-50. doi: 10.1038/nature15817.
- Cardiovascular diseases (CVDs). World Health Organization. http://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds). Published 2017. Accessed Nov 2019.
- American Heart Association. Cardiovascular disease: a costly burden for America, projections through 2035. CVD Burden Report. https:// healthmetrics.heart.org/wp-content/uploads/2017/10/CardiovascularDisease-A-Costly-Burden.pdf. Published 2017.
- Voora D, McLeod HL, Eby C and Gage BF: The pharmacogenetics of coumarin therapy. Pharmacogenomics 2005; 6(5): 503-13. doi: 10.2217/14622416.6.5.503.
- Hoffman JM, Haidar CE, Wilkinson MR, Crews KR, Baker DK and Kornegay NM: PG4KDS: A model for the clinical implementation of pre-emptive pharmacogenetics. Am J Med Genet C Semin Med Genet 2014; 166(1): 45-55. doi: 10.1002/ajmg.c.31391.
- Holford NH: Clinical pharmacokinetics and pharmacodynamics of warfarin. Understanding the dose-effect relationship. Clin Pharmacokinet 1986; 11(6): 483-504. doi: 10.2165/00003088-198611060-00005.
- Dunnenberger HM, Crews KR and Hoffman JM: Preemptive Clinical Pharmacogenetics Implementation: Current programs in five United States medical centers. Annu Rev Pharmacol Toxicol 2015; 55: 89-106. doi: 10.1146/annurev-pharmtox-010814-124835.
- Bristol-Myers Squibb Company. Coumadin package insert.https://www.accessdata.fda.gov/drugsatfda_docs/label/2010/009218s108lbl.pdf. Princeton, NJ: 20XX. Accessed 22 May 2021.
- Belley-Cote E, Hanif H and D’aragon F: Genotype-guided versus standard vitamin K antagonist dosing algorithms in patients initiating anticoagulation: a systematic review and meta-analysis. Thromb and Haemost 2015; 114(4): 768-77. doi: 10.1160/TH15-01-0071.
- Pengo V, Zambon CF and Fogar P: A randomized trial of pharmacogenetic warfarin dosing in naïve patients with non-valvular atrial fibrillation. PLoS One 2015; 10(12): 0145318. doi: 10.1371/journal.pone.0145318.
- Syn NL, Wong AL and Lee SC: Genotype-guided versus traditional clinical dosing of warfarin in patients of Asian ancestry: a randomized controlled trial. BMC Medicine 2018; 16(1): 104. doi: 10.1186/s12916-018-1093-8.
- Kimmel SE, French B and Kasner SE: A pharmacogenetic versus a clinical algorithm for warfarin dosing. N Engl J Med 2013; 369(24): 2283-93. doi: 10.1056/NEJMoa1310669.
- Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC and Mulrow CD: The PRISMA 2020 statement: an updated guidelines for reporting systematic reviews. Syst Rev 2021; 10(1): 89. doi: 10.1186/s13643-021-01626-4.
- Makar-Aušperger K, Krželj K, LovrićBenčić M, Radačić Aumiler M, Erdeljić Turk V and Božina N: Warfarin dosing according to the genotype-guided algorithm is most beneficial in patients with atrial fibrillation: a randomized parallel group trial. Ther Drug Monit 2018; 40(3): 362-8. doi: 10.1097/FTD.0000000000000501.
- Jorgensen AL, Prince C and Fitzgerald G: Implementation of genotype-guided dosing of warfarin with point-of-care genetic testing in three UK clinics: a matched cohort study. BMC Med 2019; 17(1): 76. doi: 10.1186/s12916-019-1308-7.
- Pirmohamed M, Burnside G and Eriksson N: A randomized trial of genotype-guided dosing of warfarin. N Engl J Med 2013; 369(24): 2294-303.
- Panchenko E, Kropacheva E and Dobrovolsky A: CYP2C9 and VKORC1 genotyping for the quality of long-standing warfarin treatment in Russian patients. Pharmacogenomics J 2020; 20(5): 687-94. doi: 10.1038/s41397-020-0157-2.
How to cite this article:
Green AM, Brackbill M, Harralson AF and Kim SH: Coding for an anticoagulant: systematic review of pharmacogenetics-guided warfarin therapy on the therapeutic and adverse clinical events on patients with atrial fibrillation, pulmonary embolism, and deep vein thrombosis. Int J Pharm Sci & Res 2023; 14(4): 1703-13. doi: 10.13040/IJPSR.0975-8232.14(4).1703-13.
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Article Information
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1703-1713
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English
IJPSR
Amy Marie Green, Marcia Brackbill, Arthur F. Harralson and Sean Hyungwoo Kim *
Shenandoah University Bernard J. Dunn School of Pharmacy, 1775 North Sector Ct, Winchester, VA 22601 USA.
skim3@su.edu
16 August 2022
30 September 2022
03 November 2022
10.13040/IJPSR.0975-8232.14(4).1703-13
01 April 2023