Effect of increased time in the therapeutic range on atrial fibrillation outcomes within a centralized anticoagulation service

Pharmacy-Led Management of Atrial Fibrillation: Improving Treatment Adherence and Patient Outcomes

The world's population is ageing, with the number of those over 60 years expected to represent a fifth of the total population by 2050. Increases in chronic long-term health conditions (LTCs) associated with ageing, and requiring regular but often avoidable medical intervention, are pressurising already overloaded, health and social care systems. Atrial fibrillation (AF) is an LTC, which is most frequently diagnosed in the elderly. An often, asymptomatic condition, AF is associated with a 3- to 5-fold increased risk of severe ischemic stroke. Stroke prevention, with risk-stratified oral anticoagulants (OACs) is the standard recommended care for patients with AF. Stroke avoidance is, however, dependent on persistent adherence to OAC medication, with an adherence rate of >80% considered necessary to achieve optimal health outcomes. Suboptimal adherence to OACs is common, with a third of all AF patients not taking their medication as prescribed. This combined with the short half-life of OACs can result in poor clinical outcomes for patients. Policy makers now consider improving adherence to prescribed medicines for LTCs, a public health priority, to ensure better health outcomes for patients, whilst minimising unnecessary health system costs. Prescribing medicines to treat LTCs, such as AF, is not enough, particularly when the patient may not experience any measurable benefit to the treatment and may instead, experience medication-associated adverse events, including a risk of bleeding. Pharmacists who are experts in medicines management are ideally placed to support medication adherence, to educate, and to improve health outcomes for patients with AF. In this review, I will consider the evidence for poor medication adherence in LTCs and in particular adherence to OACs in patients with AF and highlight the role that pharmacists can play in ensuring optimal adherence and showcase pharmacist-led interventions that effectively address this problem.

Two randomized controlled trials of nudges to encourage referrals to centralized pharmacy services for evidence-based statin initiation in high-risk patients: Rationale and design of the SUPER LIPID program

BACKGROUND

In patients with or at risk for atherosclerotic vascular disease, statins reduce the incidence of major adverse cardiovascular events, but the majority of US adults with an indication for statin therapy are not prescribed statins at guideline-recommended intensity. Clinicians' limited time to address preventative care issues is cited as one factor contributing to gaps in statin prescribing. Centralized pharmacy services can fulfill a strategic role for population health management through outreach, education, and statin prescribing for patients at elevated ASCVD risk, but best practices for optimizing referrals of appropriate patients are unknown.

STUDY DESIGN AND OBJECTIVES

SUPER LIPID (NCT05537064) is a program consisting of two pragmatic clinical trials testing the effect of nudges in increasing referrals of appropriate patients to a centralized pharmacy service for lipid management, conducted within 11 primary care practices in a large community health system. In both trials, patients were eligible for inclusion if they had an assigned primary care provider (PCP) in a participating practice and were not prescribed a high- or moderate-intensity statin despite an indication, identified via an electronic health record (EHR) algorithm. Trial #1 was a stepped wedge trial, conducted at a single practice with randomization at the PCP level, of an interruptive EHR message that appeared during eligible patients' visits and facilitated referral to the pharmacy service. For the first 3 months, no PCPs received the message; for the second 3 months, half were randomly selected to receive the message; and for the last 3 months, all PCPs received the message. Trial #2 was a cluster-randomized trial conducted at 10 practices, with randomization at the practice level. Practices were randomized to usual care or to have eligible patients automatically referred to centralized pharmacy services via a referral order placed in PCPs EHR inboxes for co-signature. In both trials, when a patient was referred to centralized pharmacy services, a pharmacist reviewed the patient's chart, contacted the patient, and initiated statin therapy if the patient agreed. The primary endpoint of both trials was the proportion of patients prescribed a statin; secondary endpoints include the proportion of patients prescribed a statin at guideline-recommended intensity, the proportion of patients filling a statin prescription, and serum low-density lipoprotein level.

CONCLUSIONS

SUPER LIPID is a pair of pragmatic clinical trials assessing the effectiveness of two strategies to encourage referral of appropriate patients to a centralized pharmacy service for lipid management. The trial results will develop the evidence base for simple, scalable, EHR-based strategies to integrate clinical pharmacists into population health management and increase appropriate statin prescribing.

CLINICAL TRIAL REGISTRATION

clinicaltrials.gov; NCT05537064.

Integrated Care for Atrial Fibrillation Management: The Role of the Pharmacist

Within Europe and the Asia-Pacific, the Atrial Fibrillation Better Care (ABC) pathway is the gold standard integrated care strategy for atrial fibrillation management. Atrial fibrillation diagnosis should be confirmed and characterized (CC) prior to implementation of ABC pathway components: 1) "A"- Anticoagulation/Avoid stroke; 2) "B"- Better symptom management; and 3) "C"- Cardiovascular and other comorbidity optimization. Pharmacists have the potential to expedite integrated care for atrial fibrillation across the health care continuum: hospital, community pharmacy, and general practice. This review summarizes the available evidence base for pharmacist-led implementation of the "CC to ABC" model.

Applying population health approaches to improve safe anticoagulant use in the outpatient setting: the DOAC Dashboard multi-cohort implementation evaluation study protocol

BACKGROUND

Use of direct oral anticoagulants (DOAC) is rapidly growing for treatment of atrial fibrillation and venous thromboembolism. However, incorrect dosing of these medications is common and puts patients at risk of adverse drug events. One way to improve safe prescribing is the use of population health tools, including interactive dashboards built into the electronic health record (EHR). As such tools become more common, exploring ways to understand which aspects are effective in specific settings and how to effectively adapt and implement in existing anticoagulation clinics across different health systems is vital.

METHODS

This three-phase project will evaluate a current nation-wide implementation effort of the DOAC Dashboard in the Veterans Health Administration (VHA) using both quantitative and qualitative methods. Informed by this evaluation, the DOAC Dashboard will be implemented in four new health systems using an implementation strategy derived from the VHA experience and interviews with providers in those new health systems. Quantitative evaluation of the VHA and non-VHA implementation will follow the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. Qualitative interviews with stakeholders will be analyzed using the Consolidated Framework for Implementation Research and Technology Acceptance Models to identify key determinants of implementation success.

DISCUSSION

This study will (1) evaluate the implementation of an EHR-based population health tool for medication management within a large, nation-wide, highly integrated health system; (2) guide the adoption in a set of four different health systems; and (3) evaluation that multi-center implementation effort. These findings will help to inform future EHR-based implementation efforts in a wide variety of health care settings.

Wild P, H. Prochaska J. Specialized Management of Oral Anticoagulation Therapy Improves Outcome in Patients with Chronic Renal Insufficiency

Oral anticoagulation (OAC) is effective at preventing and treating thromboses and thromboembolism in patients with normal renal function. We aimed to research the impact of severe renal failure (RF) on patient outcome and to determine the potential benefit of caring for these patients in a specialized coagulation service (CS). A total of 1516 usual medical care patients and 756 CS-managed patients of the thrombEVAL multicenter (21 centers), prospective, cohort study (NCT01809015) were analyzed in a 3-year follow-up. Patients with RF (serum creatinine >3 mg/dL, no renal replacement therapy) were compared to patients without RF in usual care and a CS. The fluctuations in the international normalized ratios were significantly lower in CS-managed patients, and regardless of treatment in usual care or a CS, the time in therapeutic range was significantly lower in RF patients. Cox regression-adjusted hazard ratios for long-term outcome (1.5, 95% CI: 1.22–1.83, p < 0.001), death (1.62, CI: 1.27–2.08, p < 0.001), and hospitalization (1.21, CI: 1.02–1.44, p = 0.032) were significantly higher in RF patients in usual care. Furthermore, there was a trend of more bleeding events in RF patients. CS-treated patients had significantly lower adjusted hazard ratios for death (0.24, CI: 0.14–0.39, p < 0.001), hospitalizations (0.41, CI: 0.34–0.5, p < 0.001), clinically relevant bleeding (0.29, CI: 0.18–0.47, p < 0.001), and major bleeding (0.33, CI: 0.18–0.59, p < 0.001). Thus, patients who required oral anticoagulation therapy benefitted significantly from being managed in a specialized coagulation service, regardless of their renal function.

Evaluation of the predictive performance of Bayesian dosing for warfarin in Chinese patients

Aim: To evaluate the accuracy and predictive performance of Bayesian dosing for warfarin in Chinese patients. Materials & methods: Six multiple linear regression algorithms (Wei, Lou, Miao, Huang, Gage and IWPC) and a Bayesian method implemented in Warfarin Dose Calculator were compared with each other. Results: Six multiple linear regression warfarin dosing algorithms had similar predictive ability, except Miao and Lou. The mean prediction error of Bayesian priori and posteriori method were 0.01 mg/day (95% CI: -0.18 to 0.19) and 0.17 mg/day (95% CI: -0.05 to 0.29), respectively, and Bayesian posteriori method demonstrated better performance in all dose ranges. Conclusion: The Bayesian method showed a good potential for warfarin maintenance dose prediction in Chinese patients requiring less than 6 mg/day.

Predicting Thromboembolic and Bleeding Event Risk in Patients with Non-Valvular Atrial Fibrillation: A Systematic Review

BACKGROUND

 Atrial fibrillation (AF) is a common cardiac arrhythmia that increases the risk of stroke. Medical therapy for decreasing stroke risk involves anticoagulation, which may increase bleeding risk for certain patients. In determining the optimal therapy for stroke prevention for patients with AF, clinicians use tools with various clinical, imaging and patient characteristics to weigh stroke risk against therapy-associated bleeding risk.

AIM

 This article reviews published literature and summarizes available risk stratification tools for stroke and bleeding prediction in patients with AF.

METHODS

 We searched for English-language studies in PubMed, Embase and the Cochrane Database of Systematic Reviews published between 1 January 2000 and 14 February 2018. Two reviewers screened citations for studies that examined tools for predicting thromboembolic and bleeding risks in patients with AF. Data regarding study design, patient characteristics, interventions, outcomes, quality, and applicability were extracted.

RESULTS

 Sixty-one studies were relevant to predicting thromboembolic risk and 38 to predicting bleeding risk. Data suggest that CHADS₂, CHA₂DS₂-VASc and the age, biomarkers, and clinical history (ABC) risk scores have the best evidence for predicting thromboembolic risk (moderate strength of evidence for limited prediction ability of each score) and that HAS-BLED has the best evidence for predicting bleeding risk (moderate strength of evidence).

LIMITATIONS

 Studies were heterogeneous in methodology and populations of interest, setting, interventions and outcomes analysed.

CONCLUSION

 CHADS₂, CHA₂DS₂-VASc and ABC scores have the best prediction for stroke events, and HAS-BLED provides the best prediction for bleeding risk. Future studies should define the role of imaging tools and biomarkers in enhancing the accuracy of risk prediction tools.

PRIMARY FUNDING SOURCE

 Patient-Centered Outcomes Research Institute (PROSPERO #CRD42017069999).

Pharmaceutical Care Increases Time in Therapeutic Range of Patients With Poor Quality of Anticoagulation With Warfarin

Thromboembolic events are associated with high mortality and morbidity indexes. In this context, warfarin is the most widely prescribed oral anticoagulant agent for preventing and treating these events. This medication has a narrow therapeutic range and, consequently, patients usually have difficulty in achieving and maintaining stable target therapeutics. Some studies on the literature about oral anticoagulant management showed that pharmacists could improve the efficiency of anticoagulant therapy. However, the majority of these studies included general patients retrospectively. The aim of this study was to prospectively evaluate a pharmacist’s warfarin management in patients with poor quality of anticoagulation therapy (Time in the Therapeutic Range- TTR < 50%). We included 268 patients with atrial fibrillation (AF) and without stable dose of warfarin (TTR < 50%, based on the last three values of International Normalized Ratio-INR). We followed them up for 12 weeks, INR values were evaluated and, when necessary, the dose adjustments were performed. During the first four visits, patient’s INR was measured every 7 days. Then, if INR was within the target therapeutic range (INR: 2–3), the patient was asked to return in 30 days. However, if INR was out the therapeutic target, the patient was asked to return in 7 days. Adherence evaluation was measured through questionnaires and by counting the pills taken. Comparison between basal TTR (which was calculated based on the three last INR values before prospective phase) and TTR of 4 weeks (calculated by considering the INR tests from visits 0 to 4, in the prospective phase of the study) and basal TTR and TTR of 12 weeks (calculated based on the INR tests from visits 0 to 12, in the prospective phase of the study) revealed significant statistical differences (0.144 ± 0.010 vs. 0.382 ± 0.016; and 0.144 ± 0.010 vs. 0.543 ± 0.014, p < 0.001, respectively). We also observed that the mean TTR of 1 year before (retrospective phase) was lower than TTR value after 12 weeks of pharmacist-driven treatment (prospective phase) (0.320 ± 0.015; 0.540 ± 0.015, p < 0.001). In conclusion, pharmaceutical care was able to improve TTR values in patients with AF and poor quality of anticoagulation with warfarin.