Evaluation of the prescribing practice of guideline-directed medical therapy among ambulatory chronic heart failure patients.
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ABSTRACT: Background
Studies have demonstrated that heart failure (HF) patients who receive direct pharmacist input as part of multidisciplinary care have better clinical outcomes. This study evaluated/compared the difference in prescribing practices of guideline-directed medical therapy (GDMT) for chronic HF patients between two multidisciplinary clinics-with and without the direct involvement of a pharmacist.Methods
A retrospective audit of chronic HF patients, presenting to two multidisciplinary outpatient clinics between March 2005 and January 2017, was performed; a Multidisciplinary Ambulatory Consulting Service (MACS) with an integrated pharmacist model of care and a General Cardiology Heart Failure Service (GCHFS) clinic, without the active involvement of a pharmacist.Results
MACS clinic patients were significantly older (80 vs. 73 years, p?ConclusionsLower prescription rates of some medications in the pharmacist-involved multidisciplinary team were found. Careful consideration of demographic and clinical characteristics, contraindications for use of medications, polypharmacy, and underlying comorbidities is necessary to achieve best practice.
SUBMITTER: Parajuli DR
PROVIDER: S-EPMC7893887 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Publications
Evaluation of the prescribing practice of guideline-directed medical therapy among ambulatory chronic heart failure patients.
Parajuli Daya Ram DR Shakib Sepehr S Eng-Frost Joanne J McKinnon Ross A RA Caughey Gillian E GE Whitehead Dean D
BMC cardiovascular disorders 20210218 1
<h4>Background</h4>Studies have demonstrated that heart failure (HF) patients who receive direct pharmacist input as part of multidisciplinary care have better clinical outcomes. This study evaluated/compared the difference in prescribing practices of guideline-directed medical therapy (GDMT) for chronic HF patients between two multidisciplinary clinics-with and without the direct involvement of a pharmacist.<h4>Methods</h4>A retrospective audit of chronic HF patients, presenting to two multidis ...[more]
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Project description:Introduction/backgroundPatients with heart failure and reduced ejection fraction (HFrEF) are consistently underprescribed guideline-directed medications. Although many barriers to prescribing are known, identification of these barriers has relied on traditional a priori hypotheses or qualitative methods. Machine learning can overcome many limitations of traditional methods to capture complex relationships in data and lead to a more comprehensive understanding of the underpinnings driving underprescribing. Here, we used machine learning methods and routinely available electronic health record data to identify predictors of prescribing.MethodsWe evaluated the predictive performance of machine learning algorithms to predict prescription of four types of medications for adults with HFrEF: angiotensin converting enzyme inhibitor/angiotensin receptor blocker (ACE/ARB), angiotensin receptor-neprilysin inhibitor (ARNI), evidence-based beta blocker (BB), or mineralocorticoid receptor antagonist (MRA). The models with the best predictive performance were used to identify the top 20 characteristics associated with prescribing each medication type. Shapley values were used to provide insight into the importance and direction of the predictor relationships with medication prescribing.ResultsFor 3,832 patients meeting the inclusion criteria, 70% were prescribed an ACE/ARB, 8% an ARNI, 75% a BB, and 40% an MRA. The best-predicting model for each medication type was a random forest (area under the curve: 0.788-0.821; Brier score: 0.063-0.185). Across all medications, top predictors of prescribing included prescription of other evidence-based medications and younger age. Unique to prescribing an ARNI, the top predictors included lack of diagnoses of chronic kidney disease, chronic obstructive pulmonary disease, or hypotension, as well as being in a relationship, nontobacco use, and alcohol use.Discussion/conclusionsWe identified multiple predictors of prescribing for HFrEF medications that are being used to strategically design interventions to address barriers to prescribing and to inform further investigations. The machine learning approach used in this study to identify predictors of suboptimal prescribing can also be used by other health systems to identify and address locally relevant gaps and solutions to prescribing.
| S-EPMC10321403 | biostudies-literature
Project description:Study objectiveThe association of prior to admission guideline-directed medical therapy (GDMT) use in patients hospitalized with Heart Failure with Reduced Ejection Fraction (HFrEF, ejection fraction ≤40 %) and Coronavirus Disease 2019 (COVID-19) with in-hospital outcomes has not been well studied.Design/setting/participants/interventions/outcome measuresUsing the American Heart Association's Get With The Guidelines Heart Failure Registry, we identified HFrEF patients presenting with acute decompensated heart failure (ADHF) and compared rates of GDMT prescription between those presenting prior to and during the pandemic. In a subgroup of patients with a concomitant COVID-19 diagnosis, we evaluated the association of prior to admission GDMT use with in-hospital mortality and severe COVID-19.Results23,899 patients were admitted with HFrEF during the pandemic (2/16/20-3/24/21) and 26,459 patients were admitted in the year prior (2/16/19-2/15/20). In this overall cohort, prior to admission ACEI/ARB/ARNI (45.6 % vs 48.1 %, p < 0.0001) and BB (56.9 % vs 62.4 %, p < 0.0001) use was lower among admitted HFrEF patients during the pandemic when compared to the year prior. Rates of ACEI/ARB/ARNI, MRA, and triple therapy (ACE/ARB/ARNI + BB + MRA) prescription at discharge were higher during the pandemic compared to the year prior. Among a subgroup of those with HFrEF and COVID-19 (n = 333), prior to admission GDMT use was not associated with in-hospital mortality or severe COVID-19.ConclusionWe found no association between prior to admission GDMT use and in-hospital mortality or severe COVID-19 among HFrEF patients admitted with ADHF and COVID-19. GDMT prescription at discharge for HFrEF patients overall has remained either similar or improved during the pandemic.
| S-EPMC11363726 | biostudies-literature
Project description:BackgroundDespite evidence that guideline-directed medical therapies (GDMTs) improve outcomes in patients with heart failure (HF) with reduced ejection fraction (HFrEF), implementation remains suboptimal.ObjectivesThe purpose of this study was to measure GDMT implementation during acute HFrEF hospitalization, evaluate the association between socioeconomic factors and GDMT implementation, and assess the association of GDMT utilization with subsequent clinical events.MethodsRetrospective determination of GDMT utilization using a modified optimal medical therapy (mOMT) score (which accounts for specific contraindications to drugs) during unplanned HF hospitalization of consecutive adult patients with new-onset or previously diagnosed HFrEF from 2017 to 2018. Outcomes included discharge mOMT score, association between socioeconomic factors and GDMT implementation (assessed using both the Mann-Whitney U test for binary variables and the Kruskall-Wallace for nonbinary variables), composite outcome 1-year all-cause mortality and 1-year HF readmission, and each component as a function of discharge mOMT score (assessed using univariate and multivariable Cox proportional hazards regression models).ResultsOf 391 patients fulfilling entry criteria (of which 152 [38.9%] had new-onset HFrEF), only 49 (12.5%) had a perfect or near-perfect discharge mOMT score. Black patients and those experiencing homelessness had significantly lower discharge mOMT scores. Higher discharge mOMT score is associated with a lower rate of composite endpoint events, particularly in patients with new-onset HFrEF. Overall, a 0.1-increase in the mOMT score resulted in a 9.2% reduction in the composite endpoint.ConclusionsSuboptimal implementation of GDMT during HF hospitalization is widespread and is associated with a worse outcome. Black patients and patients experiencing homelessness were less likely to have GDMT optimized.
| S-EPMC11312039 | biostudies-literature
Project description:IntroductionHeart failure is associated with recurrent hospitalizations and high mortality. Guideline directed medical treatment (GDMT), including beta blockers (BBs), angiotensin converting enzyme inhibitors (ACE-Is), angiotensin receptor blockers (ARBs) and aldosterone antagonists (AAs) has shown to improve outcomes. Current guidelines recommend the use of these medication classes at maximally tolerated dosages. Despite the evidence, < 25% of patients with heart failure with reduced left ventricular ejection fraction (HFrEF) are on the appropriate medical regimen titrated to the target doses. As such, we sought to assess the utility of a focused GDMT clinic to reduce this gap.MethodsWe conducted a retrospective chart review through existing patient data in a single center teaching hospital of patients referred to a focused GDMT clinic primarily staffed with heart failure trained nurse specialists, physician assistants and cardiologists. Management guidelines were developed with protocols for the initiation and uptitration of all therapeutic agents considered as GDMT.Our primary objective was to determine whether enrollment into a dedicated nursing led guideline directed medical therapy clinic would increase the proportion of patients with heart failure with reduced ejection fraction on appropriate medications as well as medication dosages in patients, the percentage of patients on the following medications and percentage at target doses: Renin-Angiotensin-Aldosterone System Blockers, Evidence Based Beta Blockers, and Aldosterone Antagonists. Our secondary objective was to determine if there was any clinical benefit on objective measures including renal function, hospital admissions, mortality and implantable defibrillator shocks.ResultsBetween October 2015 and March 2017, 63 patients were identified by requisition forms, in which 61 were able to be identified based on legibility of identifying information. Mean duration of follow up was 264.44 ± 162.68 days over 7 ± 3.94 days. Mean ejection fraction was 21.8 ± 7.3%. New onset cardiomyopathies (diagnosed within 30 days) compiled 21% of the patient population while those with demonstrated cardiomyopathies (> 90 days) compiled 48% of the patient population. Patients with NYHA class III heart failure compiled 65% of the patient population.There was a statistically significant increase in the mean number of GDMT at any dose (2.31 ± 0.76 to 2.74 ± 0.66; p < 0.001) and mean number of GDMT at target doses (0.54 ± 0.79 to 1.52 ± 1.1; p < 0.001). Percentage of the population that were on no target doses at initial visit was 62% which was reduced to 18% after intervention.Clinical improvement was reflected in significant improvement in ejection fraction from 21.8 ± 7.8% to 36.2 ± 14.3% (p < 0.001). Increases in sodium and chloride were statistically small but significant. There a significant reduction in heart failure hospitalizations in comparison to a year prior to after the initial encounter in the clinic (p < 0.001).ConclusionThis pilot study showed that a nurse directed GDMT titration program successfully increased the number of GDMT that patients were able to tolerate in a timely fashion, all the while enhancing ejection fraction, sodium and chloride levels, with a reduction in rehospitalization rates.
| S-EPMC6240631 | biostudies-literature
Project description:BackgroundUnderprescribing of guideline-directed medical therapy (GDMT) for heart failure (HF) persists.ObjectivesThe purpose of this study was to assess polypharmacy as a barrier to GDMT.MethodsWe examined participants hospitalized for HF with reduced ejection fraction and HF with mildly reduced ejection fraction between 2003 and 2017 from the Reasons for Geographic and Racial Differences in Stroke study. Participants were stratified by admission medication count-0 to 4, 5 to 9, and ≥10 medications. We examined GDMT use at admission, GDMT contraindications, and initiation of eligible indicated GDMT by medication count. We conducted a multivariable Poisson regression with robust standard errors to examine the association between medication count and GDMT initiation. GDMT included agents for HF with reduced ejection fraction/HF with mildly reduced ejection fraction, antiplatelet agents and statins for coronary artery disease, and anticoagulants for atrial fibrillation.ResultsAmong 545 participants with HF, 34% were not taking a beta-blocker, 39% were not taking an angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor, or hydralazine-isosorbide dinitrate, and 90% were not taking a mineralocorticoid receptor antagonist at admission; among participants with coronary artery disease, 36% were not taking an antiplatelet agent, and 38% were not taking a statin; and among participants with atrial fibrillation, 49% were not taking an anticoagulant. Polypharmacy was inversely associated with initiation of at least one indicated medication (5-9 medications: relative risk [RR]: 0.67; 95% CI: 0.56-0.82; P < 0.001; ≥10 medications: RR: 0.50; 95% CI: 0.39-0.64; P < 0.001) and initiation of at least half of indicated medications (5-9 medications: RR: 0.64; 95% CI: 0.51-0.81; P < 0.001; ≥10 medications: RR: 0.50; 95% CI: 0.38-0.67; P < 0.001).ConclusionsPolypharmacy is an important barrier to GDMT.
| S-EPMC11357976 | biostudies-literature
Project description:AimsHeart failure with mildly reduced ejection fraction (HFmrEF) has received increasing attention following the publication of the latest ESC guidelines in 2021. However, it remains unclear whether patients with HFmrEF could benefit from guideline-directed medical treatment (GDMT), referring the combination of ACEI/ARB/ARNI, β-blockers, and MRAs, which are recommended for those with reduced ejection fraction. This study explored the efficacy of GDMT in HFmrEF patients.MethodsThis was a retrospective cohort study of HFmrEF patients admitted to The First Affiliated Hospital of Dalian Medical University between 1 September 2015 and 30 November 2019. Propensity score matching (1:2) between patients receiving triple-drug therapy (TT) and non-triple therapy (NTT) based on age and sex was performed. The primary outcome was all cause death, cardiac death, rehospitalization from any cause, and rehospitalization due to worsening heart failure.ResultsOf the 906 patients enrolled in the matched cohort (TT group, n = 302; NTT group, N = 604), 653 (72.08%) were male, and mean age was 61.1 ± 11.92. Survival analysis suggested that TT group experienced a significantly lower incidence of prespecified primary endpoints than NTT group. Multivariable Cox regression showed that TT group had a lower risk of all-cause mortality (HR 0.656, 95% CI 0.447-0.961, P = 0.030), cardiac death (HR 0.599, 95% CI 0.380-0.946, P = 0.028), any-cause rehospitalization (HR 0.687, 95% CI 0.541-0.872, P = 0.002), and heart failure rehospitalization (HR 0.732, 95% CI 0.565-0.948, P = 0.018).ConclusionsIn patients with HFmrEF, combined use of neurohormonal antagonists produces remarkable effects in reducing the occurrence of the primary outcome of rehospitalization and death. Thus, the treatment of HFmrEF should be categorized as HFrEF due to the similar benefit of neurohormonal blocking therapy in HFrEF and HFmrEF.
| S-EPMC10053349 | biostudies-literature
Project description:This guideline describes the approach and expertise needed for the genetic evaluation of cardiomyopathy. First published in 2009 by the Heart Failure Society of America (HFSA), the guideline has now been updated in collaboration with the American College of Medical Genetics and Genomics (ACMG). The writing group, composed of cardiologists and genetics professionals with expertise in adult and pediatric cardiomyopathy, reflects the emergence and increased clinical activity devoted to cardiovascular genetic medicine. The genetic evaluation of cardiomyopathy is a rapidly emerging key clinical priority, because high-throughput sequencing is now feasible for clinical testing and conventional interventions can improve survival, reduce morbidity, and enhance quality of life. Moreover, specific interventions may be guided by genetic analysis. A systematic approach is recommended: always a comprehensive family history; an expert phenotypic evaluation of the proband and at-risk family members to confirm a diagnosis and guide genetic test selection and interpretation; referral to expert centers as needed; genetic testing, with pre- and post-test genetic counseling; and specific guidance as indicated for drug and device therapies. The evaluation of infants and children demands special expertise. The approach to managing secondary and incidental sequence findings as recommended by the ACMG is provided.
| S-EPMC9903357 | biostudies-literature
Project description:ImportanceOptimal treatment of heart failure with reduced ejection fraction (HFrEF) is scripted by treatment guidelines, but many eligible patients do not receive guideline-directed medical therapy (GDMT) in clinical practice.ObjectiveTo determine whether a remote, algorithm-driven, navigator-administered medication optimization program could enhance implementation of GDMT in HFrEF.Design, setting, and participantsIn this case-control study, a population-based sample of patients with HFrEF was offered participation in a quality improvement program directed at GDMT optimization. Treating clinicians in a tertiary academic medical center who were caring for patients with heart failure and an ejection fraction of 40% or less (identified through an electronic health record-based search) were approached for permission to adjust medical therapy according to a sequential titration algorithm modeled on the current American College of Cardiology/American Heart Association heart failure guidelines. Navigators contacted participants by telephone to direct medication adjustment and conduct longitudinal surveillance of laboratory tests, blood pressure, and symptoms under supervision of a pharmacist, nurse practitioner, and heart failure cardiologist. Patients and clinicians declining to participate served as a control group.ExposuresNavigator-led remote optimization of GDMT compared with usual care.Main outcomes and measuresProportion of patients receiving GDMT in the intervention and control groups at 3 months.ResultsOf 1028 eligible patients (mean [SD] values: age, 68 [14] years; ejection fraction, 32% [8%]; and systolic blood pressure, 122 [18] mm Hg; 305 women (30.0%); 892 individuals [86.8%] in New York Heart Association class I and II), 197 (19.2%) participated in the medication optimization program, and 831 (80.8%) continued with usual care as directed by their treating clinicians (585 [56.9%] general cardiologists; 443 [43.1%] heart failure specialists). At 3 months, patients participating in the remote intervention experienced significant increases from baseline in use of renin-angiotensin system antagonists (138 [70.1%] to 170 [86.3%]; P < .001) and β-blockers (152 [77.2%] to 181 [91.9%]; P < .001) but not mineralocorticoid receptor antagonists (51 [25.9%] to 60 [30.5%]; P = .14). Doses for each category of GDMT also increased from baseline in the intervention group. Among the usual-care group, there were no changes from baseline in the proportion of patients receiving GDMT or the dose of GDMT in any category.Conclusions and relevanceRemote titration of GDMT by navigators using encoded algorithms may represent an efficient, population-level strategy for rapidly closing the gap between guidelines and clinical practice in patients with HFrEF.
| S-EPMC7495335 | biostudies-literature
Project description:This prospective study included patients with heart failure (HF) with reduced ejection fraction (HFrEF) with LVEF < = 40% to evaluate the impact of pharmacist on guideline directed medical therapy (GDMT). The primary outcome was to compare proportion of triple GDMT achieved for Angiotensin-Converting-Enzyme-Inhibitors (ACEI)/Angiotensin-Receptor-Blockers (ARB)/Angiotensin-Receptor-Neprilysin-Inhibitors (ARNI), beta-blockers, aldosterone antagonists (AA), and quadruple GDMT which in additional to triple therapy, included Sodium glucose co-transporter 2 inhibitor (SGLT2i) at 90-day post-enrollment compared to baseline. Secondary endpoints included achieving target and/or maximally tolerated ACEI/ARB/ARNI and beta-blockers combined and individually as well as SGLT2i and AA GDMT at 90-day post-enrollment compared to baseline. We also compared combined and individual HF-related hospitalization/emergency room (ER) visits 90 days pre-/post-enrollment. Of the total 974 patients screened, 80 patients seen at least once in the heart failure medication titration clinic (HMTC) were included in the analysis. Median (IQR) age was 71 (57-69) years with majority white male. There was a significant improvement in the proportion of patients who achieved quadruple GDMT (p = 0.001) and triple GDMT (p-value = 0.020) at 90-day post-enrollment compared to baseline. The secondary GDMT outcomes were also significantly increased at 90 days post-enrollment compared to baseline. Significant difference in mean as well as proportion of combined HF-related hospitalization/ER-visits was found 90 days pre-/post-enrollment (p = 0.047). Our study found that pharmacist's intervention increased the proportion of patients who achieved GDMT at 90 days.
| S-EPMC9060399 | biostudies-literature
Project description:BackgroundGuideline-directed medical therapy (GDMT) dramatically improves outcomes in heart failure with reduced ejection fraction (HFrEF). Our goal was to examine GDMT use in community patients with newly diagnosed HFrEF.Methods and resultsWe performed a population-based, retrospective cohort study of all Olmsted County, Minnesota, residents with newly diagnosed HFrEF (EF ≤ 40%) 2007-2017. We excluded patients with contraindications to medication initiation. We examined the use of beta-blockers, HF beta-blockers (metoprolol succinate, carvedilol, bisoprolol), angiotensin converting enzyme inhibitors (ACEis), angiotensin receptor blockers (ARBs), angiotensin receptor neprilysin inhibitors (ARNIS), and mineralocorticoid receptor antagonists (MRAs) in the first year after HFrEF diagnosis. We used Cox models to evaluate the association of being seen in an HF clinic with the initiation of GDMT. From 2007 to 2017, 1160 patients were diagnosed with HFrEF (mean age 69.7 years, 65.6% men). Most eligible patients received beta-blockers (92.6%) and ACEis/ARBs/ARNIs (87.0%) in the first year. However, only 63.8% of patients were treated with an HF beta-blocker, and few received MRAs (17.6%). In models accounting for the role of an HF clinic in initiation of these medications, being seen in an HF clinic was independently associated with initiation of new GDMT across all medication classes, with a hazard ratio (95% CI) of 1.54 (1.15-2.06) for any beta-blocker, 2.49 (1.95-3.20) for HF beta-blockers, 1.97 (1.46-2.65) for ACEis/ARBs/ARNIs, and 2.14 (1.49-3.08) for MRAs.ConclusionsIn this population-based study, most patients with newly diagnosed HFrEF received beta-blockers and ACEis/ARBs/ARNIs. GDMT use was higher in patients seen in an HF clinic, suggesting the potential benefit of referral to an HF clinic for patients with newly diagnosed HFrEF.
| S-EPMC9588715 | biostudies-literature