How do we define high and low dose intensity of heart failure medications: a scoping review.

BACKGROUND: Older adults with heart failure often experience adverse drug events with high doses of heart failure medications. Recognizing whether a patient is on a high or low dose intensity heart failure medication can be helpful for daily practice, since it could potentially guide the physician on which symptoms to look for, whether from overdosing or underdosing. However, the current guideline does not provide sufficient information about the dose intensity below the target dose. Furthermore, the definition of high or low-intensity heart failure medication is unclear, and there is no consensus. METHODS: To close the knowledge gap, we conducted a scoping review of the current literature to identify the most frequently used definition of high versus low doses of heart failure medications. We searched Pubmed, Embase, CINAHL, and Cochrane Library using comprehensive search terms that can capture the intensity of heart failure medications. RESULTS: We reviewed 464 articles, including 144 articles that had information about beta-blockers (BB), 179 articles about angiotensin-converting enzyme inhibitors (ACEi), 75 articles about angiotensin receptor blockers (ARB), 80 articles about diuretics, 37 articles about mineralocorticoid receptor antagonists (MRA), and 33 articles about angiotensin receptor-neprilysin inhibitor (ARNI). For hydralazine with isosorbide dinitrate or ivabradine, we could not identify any eligible articles. We identified 40 medications with most frequently used definitions of dose intensity. Four medications (nadolol, pindolol, cilazapril, and torsemide) did not reach consensus in definitions. Most of the BBs, ACEis, or ARBs used the definition of low being < 50% of the target dose and high being ≥ 50% of the target dose from the guideline. However, for lisinopril and losartan, the most commonly used definitions of high or low were from pivotal clinical trials with a pre-defined definition of high or low. CONCLUSION: Our comprehensive scoping review studies identified the most frequently used definition of dose intensity for 40 medications but could not identify the definitions for 4 medications. The results of the current scoping review will be helpful for clinicians to have awareness whether the currently prescribed dose is considered high - requiring close monitoring of side effects, or low - requiring more aggressive up-titration.

Feasibility and acceptability of a text message intervention used as an adjunct tool by WIC breastfeeding peer counsellors: The LATCH pilot.

Breastfeeding rates among mothers in the Supplemental Nutrition Program for Women, Infants, and Children (WIC) are lower than for other mothers in the United States. The objective of this study was to test the acceptability and feasibility of the Lactation Advice thru Texting Can Help intervention. Mothers were enrolled at 18-30 weeks gestation from two WIC breastfeeding peer counselling (PC) programmes if they intended to breastfeed and had unlimited text messaging, more than fifth-grade literacy level, and fluency in English or Spanish. Participants were randomized to the control arm (PC support without texting) or the intervention arm (PC support with texting). The two-way texting intervention provided breastfeeding education and support from peer counsellors. Primary outcomes included early post-partum (PP) contact and exclusive breastfeeding (EBF) rates at 2 weeks PP. Feasibility outcomes included text messaging engagement and mother's satisfaction with texting platform. Fifty-eight women were enrolled, 52 of whom were available for intention-to-treat analysis (n = 30 texting, n = 22 control). Contact between mothers and PCs within 48 hr of delivery was greater in the texting group (86.6% vs. 27.3%, p < .001). EBF rates at 2 weeks PP among participants in the texting intervention was 50% versus 31.8% in the control arm (p = .197). Intervention group mothers tended to be more likely to meet their breastfeeding goals (p = .06). Participants were highly satisfied with the Lactation Advice thru Texting Can Help intervention, and findings suggest that it may improve early post-delivery contact and increase EBF rates among mothers enrolled in WIC who receive PC. A large, multicentre trial is feasible and warranted.

Polypharmacy and Guideline-Directed Medical Therapy Initiation Among Adults Hospitalized With Heart Failure.

Background: Underprescribing of guideline-directed medical therapy (GDMT) for heart failure (HF) persists. Objectives: The purpose of this study was to assess polypharmacy as a barrier to GDMT. Methods: We 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. Results: Among 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). Conclusions: Polypharmacy is an important barrier to GDMT.

Real-world safety of neurohormonal antagonist initiation among older adults following a heart failure hospitalization.

AIMS: To optimize guideline-directed medical therapy for heart failure, patients may require the initiation of multiple neurohormonal antagonists (NHAs) during and following hospitalization. The safety of this approach for older adults is not well established. METHODS AND RESULTS: We conducted an observational cohort study of 207 223 Medicare beneficiaries discharged home following a hospitalization for heart failure with reduced ejection fraction (HFrEF) (2008-2015). We performed Cox proportional hazards regression to examine the association between the count of NHAs initiated within 90 days of hospital discharge (as a time-varying exposure) and all-cause mortality, all-cause rehospitalization, and fall-related adverse events over the 90 day period following hospitalization. We calculated inverse probability-weighted hazard ratios (IPW-HRs) with 95% confidence intervals (CIs) comparing initiation of 1, 2, or 3 NHAs vs. 0. The IPW-HRs for mortality were 0.80 [95% CI (0.78-0.83)] for 1 NHA, 0.70 [95% CI (0.66-0.75)] for 2, and 0.94 [95% CI (0.83-1.06)] for 3. The IPW-HRs for readmission were 0.95 [95% CI (0.93-0.96)] for 1 NHA, 0.89 [95% CI (0.86-0.91)] for 2, and 0.96 [95% CI (0.90-1.02)] for 3. The IPW-HRs for fall-related adverse events were 1.13 [95% CI (1.10-1.15)] for 1 NHA, 1.25 [95% CI (1.21-1.30)] for 2, and 1.64 [95% CI (1.54-1.76)] for 3. CONCLUSIONS: Initiating 1-2 NHAs among older adults within 90 days of HFrEF hospitalization was associated with lower mortality and lower readmission. However, initiating 3 NHAs was not associated with reduced mortality or readmission and was associated with a significant risk for fall-related adverse events.

Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure.

Introduction: The involvement of a cardiologist in the care of adults during a hospitalization for heart failure (HF) is associated with reduced rates of in-hospital mortality and hospital readmission. However, not all patients see a cardiologist when they are hospitalized for HF. Since reasons for this are not entirely clear, we sought to determine whether social determinants of health (SDOH) are associated with cardiologist involvement in the management of adults hospitalized for HF. We hypothesized that SDOH would be inversely associated with cardiologist involvement in the care of adults hospitalized for HF. Methods: We included adult participants from the national REasons for Geographic And Racial Difference in Stroke (REGARDS) cohort, who experienced an adjudicated hospitalization for HF between 2009 and 2017. We excluded participants who were hospitalized at institutions that lacked cardiology services (n=246). We examined nine candidate SDOH, which align with the Healthy People 2030 conceptual model: Black race, social isolation (0-1 visits from a family or friend in the past month), social network/caregiver availability (having someone to care for them if ill), educational attainment < high school, annual household income < $35,000, living in rural areas, living in a zip code with high poverty, living in a Health Professional Shortage Area, and residing in a state with poor public health infrastructure. The primary outcome was cardiologist involvement, a binary variable which was defined as involvement of a cardiologist as the primary responsible clinician or as a consultant, collected via chart review. We examined associations between each SDOH and cardiologist involvement using Poisson regression with robust standard errors. Candidate SDOH with statistically significant associations (p<0.10) were retained for multivariable analysis. Potential confounders/covariates for the multivariable analysis included age, race, sex, HF characteristics, comorbidities, and hospital characteristics. Results: We examined 876 participants hospitalized at 549 unique US hospitals. The median age was 77.5 years (IQR 71.0-83.7), 45.9% were female, 41.4% were Black, and 56.2% had low income. Low household income (<$35,000/year) was the only SDOH that had a statistically significant association with cardiologist involvement in a bivariate analysis (RR: 0.88 [95% CI: 0.82-0.95]). After adjusting for potential confounders, low income remained inversely associated (RR: 0.89 [95% CI: 0.82-0.97]). Conclusions: Adults with low household income were 11% less likely to have a cardiologist involved in their care during a hospitalization for HF. This suggests that socioeconomic status may implicitly bias the care provided to patients hospitalized for HF.

Social Determinants of Health and Cardiologist Involvement in the Care of Adults Hospitalized for Heart Failure.

Importance: Involvement of a cardiologist in the care of adults during a hospitalization for heart failure (HF) is associated with reduced rates of in-hospital mortality and hospital readmission. However, not all patients see a cardiologist when they are hospitalized for HF. Objective: To determine whether social determinants of health (SDOH) are associated with cardiologist involvement in the management of adults hospitalized for HF. Design, Setting, and Participants: This retrospective cohort study used data from the Reasons for Geographic and Racial Difference in Stroke (REGARDS) cohort. Participants included adults who experienced an adjudicated hospitalization for HF between 2009 and 2017 in all 48 contiguous states in the US. Data analysis was performed from November 2022 to January 2023. Exposures: A total of 9 candidate SDOH, aligned with the Healthy People 2030 conceptual model, were examined: Black race, social isolation, social network and/or caregiver availability, educational attainment less than high school, annual household income less than $35 000, living in rural area, living in a zip code with high poverty, living in a Health Professional Shortage Area, and living in a state with poor public health infrastructure. Main Outcomes and Measures: The primary outcome was cardiologist involvement, defined as involvement of a cardiologist as the primary responsible clinician or as a consultant. Bivariate associations between each SDOH and cardiologist involvement were examined using Poisson regression with robust SEs. Results: The study included 1000 participants (median [IQR] age, 77.8 [71.5-84.0] years; 479 women [47.9%]; 414 Black individuals [41.4%]; and 492 of 876 with low income [56.2%]) hospitalized at 549 unique US hospitals. Low annual household income (<$35 000) was the only SDOH with a statistically significant association with cardiologist involvement (relative risk, 0.88; 95% CI, 0.82-0.95). In a multivariable analysis adjusting for age, race, sex, HF characteristics, comorbidities, and hospital characteristics, low income remained inversely associated with cardiologist involvement (relative risk, 0.89; 95% CI, 0.82-0.97). Conclusions and Relevance: This cohort study found that adults with low household income were 11% less likely than adults with higher incomes to have a cardiologist involved in their care during a hospitalization for HF. These findings suggest that socioeconomic status may bias the care provided to patients hospitalized for HF.

Association of healthy lifestyle and all-cause mortality according to medication burden.

BACKGROUND: Healthy lifestyle is associated with reduced all-cause mortality, but it is not known whether this association persists for individuals with high medication burden. We examined the association between healthy lifestyle behaviors and all-cause mortality across different degrees of polypharmacy. METHODS: This was a secondary analysis of 20,417 adults aged ≥45 years from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) cohort study. The primary exposure was healthy lifestyle (adherence to Mediterranean diet, physical activity, smoking abstinence, sedentary behavior avoidance, and composite healthy behavior score [HBS]). The primary outcome was all-cause mortality. Strata of medication burden were based on the number of medications taken (no polypharmacy: 0-4, polypharmacy: 5-9, hyperpolypharmacy: ≥10). We used Cox proportional hazards regression models to examine the association between healthy lifestyle behaviors and mortality within each medication burden stratum and examined for interactions with age. RESULTS: The healthiest category of each lifestyle behavior, except sedentary behavior avoidance among the hyperpolypharmacy group, was associated with lower all-cause mortality (hazard ratio [HR]) regardless of medication burden: Mediterranean diet (no polypharmacy: HR 0.77, polypharmacy: HR 0.78, hyperpolypharmacy: HR 0.85), physical activity (no polypharmacy: HR 0.87, polypharmacy: HR 0.82, hyperpolypharmacy: HR 0.79), smoking abstinence (no polypharmacy: HR 0.40, polypharmacy: HR 0.45, hyperpolypharmacy: HR 0.52), and sedentary behavior avoidance (no polypharmacy: HR 0.88, polypharmacy: HR 0.86, hyperpolypharmacy: HR 0.95). Higher HBS was inversely associated with all-cause mortality within each medication burden stratum (no polypharmacy: HR 0.52, polypharmacy: HR 0.55, hyperpolypharmacy: HR 0.69). Although there was an interaction with age among those with no polypharmacy and those with polypharmacy, point estimates for HBS followed a graded pattern whereby higher HBS was incrementally associated with improved mortality across all age strata. CONCLUSION: Greater adherence to a healthy lifestyle was associated with lower all-cause mortality irrespective of medication burden and age.

Rapid and Highly Accurate Prediction of Poor Loop Diuretic Natriuretic Response in Patients With Heart Failure.

BACKGROUND: Removal of excess sodium and fluid is a primary therapeutic objective in acute decompensated heart failure and commonly monitored with fluid balance and weight loss. However, these parameters are frequently inaccurate or not collected and require a delay of several hours after diuretic administration before they are available. Accessible tools for rapid and accurate prediction of diuretic response are needed. METHODS AND RESULTS: Based on well-established renal physiological principles, an equation was derived to predict net sodium output using a spot urine sample obtained 1 or 2 hours after loop diuretic administration. This equation was then prospectively validated in 50 acute decompensated heart failure patients using meticulously obtained timed 6-hour urine collections to quantify loop diuretic-induced cumulative sodium output. Poor natriuretic response was defined as a cumulative sodium output of <50 mmol, a threshold that would result in a positive sodium balance with twice-daily diuretic dosing. Following a median dose of 3 mg (2-4 mg) of intravenous bumetanide, 40% of the population had a poor natriuretic response. The correlation between measured and predicted sodium output was excellent (r=0.91; P<0.0001). Poor natriuretic response could be accurately predicted with the sodium prediction equation (area under the curve =0.95, 95% confidence interval 0.89-1.0; P<0.0001). Clinically recorded net fluid output had a weaker correlation (r=0.66; P<0.001) and lesser ability to predict poor natriuretic response (area under the curve =0.76, 95% confidence interval 0.63-0.89; P=0.002). CONCLUSIONS: In patients being treated for acute decompensated heart failure, poor natriuretic response can be predicted soon after diuretic administration with excellent accuracy using a spot urine sample.