| Literature DB >> 30289609 |
Brent Egan1, John Flack2, Mehul Patel3, Sofia Lombera4.
Abstract
A quantitative survey was completed by 103 primary care physicians (PCPs) and 59 cardiologists who regularly prescribed β-blockers to assess knowledge and use of this heterogeneous drug class for hypertension. More cardiologists than PCPs chose β-blockers as initial antihypertensive therapy (30% vs 17%, P < 0.01). Metoprolol and carvedilol were the most commonly prescribed β-blockers. Cardiologists rated "impact on energy" and "arterial vasodilation" as more important than PCPs (P < 0.05/<0.01, respectively). Awareness of vasodilation was greater for carvedilol (52%) than nebivolol (31%). Association between β-blockers and clinical variables included nebivolol with β1 -selectivity, nebivolol and carvedilol with vasodilation and efficacy in older patients and African Americans, metoprolol with heart rate reduction, and atenolol and metoprolol with weight gain and hyperglycemia. Physicians preferred prescribing β-blockers with lower risk of incident diabetes. Clinical practice guidelines influenced physician prescribing more than formularies or performance metrics. This survey captures physicians' perceptions/use of various β-blockers and clinically relevant knowledge gaps.Entities:
Mesh:
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Year: 2018 PMID: 30289609 PMCID: PMC6220865 DOI: 10.1111/jch.13375
Source DB: PubMed Journal: J Clin Hypertens (Greenwich) ISSN: 1524-6175 Impact factor: 3.738
Figure 1First‐line Hypertension Treatments in a General Patient Population (A), African American Patients (B), or Diabetic Patients (C). N = 162: A, All patients; QB1: Thinking about your hypertensive patients, what proportion of patients typically receive each of the following classes of treatment at each line of therapy? B, African American patients; QB2: Now, thinking about your uncomplicated hypertensive African American patients, what proportion of patients typically receive each of the following classes of treatment at first‐line therapy? C, Diabetic patients; QB3: Now, thinking about your uncomplicated hypertensive diabetic patients, what proportion of patients typically receive each of the following classes of treatment at first‐line therapy? *P < 0.05, **P < 0.01. ACEI, angiotensin‐converting enzyme inhibitors; ARBs, angiotensin II receptors blockers; BB, β‐blockers; CCBs, calcium channel blockers; PCP, primary care physician
Figure 2Use and Association of β‐blockers. A, QB11. To start, what are the main reasons for not prescribing β‐blockers for uncomplicated hypertension patients? Physicians selected the variables above among their top 3 reasons for not prescribing β‐blockers. PCP, primary care physician
Mean ratings (±SD) of importance of features when choosing an agent
| Feature | Any antihypertensive agent | β‐blockers | ||
|---|---|---|---|---|
| Cardiologist | PCP | Cardiologist | PCP | |
| Reduction in heart rate | 11.4 ± 11.9 | 9.9 ± 8.7 | 14.4 ± 13.4 | 18.3 ± 17.8 |
| Efficacy in patients aged >60 y | 10.6 ± 10.6 | 12.5 ± 10.8 | 10.1 ± 11.0 | 11.6 ± 10.5 |
| Other side effects | 10.0 ± 10.8 | 10.3 ± 8.1 | 9.5 ± 9.6 | 11.7 ± 8.1 |
| β1‐selectivity | NA | NA | 10.2 ± 8.3 | 10.3 ± 9.2 |
| Impact on fatigue/energy | 10.3 ± 8.5 | 8.8 ± 6.5 | 11.6 ± 9.8 | 8.9 ± 6.6 |
| Impact on arterial vasodilation | 11.0 ± 10.0 | 9.8 ± 9.3 | 12.0 ± 13.8 | 6.0 ± 5.1 |
| Efficacy in African American patients | 8.8 ± 6.9 | 10.2 ± 8.3 | 6.5 ± 6.1 | 7.6 ± 7.2 |
| Impact on diuresis | 9.2 ± 9.5 | 7.8 ± 5.4 | NA | NA |
| Impact on sleep or mood | 5.4 ± 4.9 | 5.6 ± 4.9 | 7.7 ± 6.4 | 6.0 ± 6.5 |
| Impact on glucose | 5.7 ± 5.7 | 7.5 ± 7.1 | 4.9 ± 4.7 | 6.1 ± 6.8 |
| Impact on weight | 4.9 ± 4.7 | 5.6 ± 5.0 | 5.1 ± 6.9 | 5.1 ± 5.2 |
| Impact on lipids | 5.6 ± 4.8 | 5.6 ± 4.4 | 4.4 ± 4.7 | 5.2 ± 4.8 |
| Impact on reducing/blocking aldosterone | 7.1 ± 7.0 | 6.5 ± 6.2 | 3.6 ± 4.2 | 3.2 ± 4.1 |
COPD, chronic obstructive pulmonary disease; NA, not applicable; PCP, primary care physician; SD, standard deviation.
QB4/10. Thinking about all the treatment classes/β‐blockers you currently use to treat hypertension, from the list of features below, please rate how important each is on your decision to use a particular agent/β‐blocker for hypertensive patients, allocating 100 points across the features. The higher the number of points you allocate to a feature, the greater importance it has.
Examples include COPD exacerbation, dyspnea, or erectile dysfunction.
Example includes depression.
P < 0.05.
P < 0.01 vs PCP.
Association of Features with β‐blockers Used (All Physicians)
| Feature | β‐blockers | |||
|---|---|---|---|---|
| Nebivolol | Carvedilol | Atenolol | Metoprolol | |
| Reduction in heart rate | 6.2 ± 2.3 | 6.9 ± 2.1 | 7.5 ± 1.9 | 7.6 ± 1.9 |
| Efficacy in patients aged >60 y | 6.2 ± 2.2 | 6.3 ± 2.1 | 5.7 ± 2.2 | 6.0 ± 2.1 |
| β1‐selectivity | 6.3 ± 2.6 | 5.1 ± 2.9 | 5.0 ± 2.8 | 5.8 ± 2.7 |
| Fatigue | 4.7 ± 2.6 | 5.4 ± 2.2 | 6.7 ± 1.8 | 5.8 ± 2.4 |
| Arterial vasodilation | 5.8 ± 2.6 | 5.5 ± 2.4 | 3.9 ± 2.5 | 4.0 ± 2.5 |
| Efficacy in African American patients | 5.5 ± 2.2 | 5.3 ± 2.2 | 4.8 ± 2.3 | 4.9 ± 2.3 |
| Impact on diuresis | 3.4 ± 2.6 | 3.3 ± 2.7 | 3.5 ± 2.6 | 3.1 ± 2.5 |
| Impact on mood | 4.4 ± 2.7 | 4.8 ± 2.4 | 5.8 ± 2.1 | 5.1 ± 2.3 |
| Impact on sleep | 4.2 ± 2.3 | 4.1 ± 2.4 | 4.7 ± 2.4 | 4.5 ± 2.5 |
| Increase in glucose | 4.1 ± 2.5 | 4.3 ± 2.5 | 4.9 ± 2.3 | 4.5 ± 2.4 |
| Weight gain | 3.8 ± 2.5 | 4.1 ± 2.2 | 4.8 ± 2.3 | 4.4 ± 2.3 |
| Lipid changes | 3.9 ± 2.4 | 4.0 ± 2.3 | 4.8 ± 2.2 | 4.1 ± 2.3 |
| Reducing/blocking aldosterone | 4.0 ± 2.7 | 3.5 ± 2.6 | 3.4 ± 2.5 | 3.4 ± 2.5 |
| COPD exacerbation | 4.1 ± 2.5 | 4.7 ± 2.4 | 5.7 ± 2.5 | 5.0 ± 2.3 |
| Dyspnea | 3.7 ± 2.7 | 4.4 ± 2.3 | 5.1 ± 2.5 | 4.3 ± 2.5 |
| Erectile dysfunction | 4.3 ± 2.4 | 5.3 ± 2.3 | 6.4 ± 2.1 | 5.7 ± 2.4 |
COPD, chronic obstructive pulmonary disorder; PCP, primary care physician; SD, standard deviation.
QB12. Thinking about each of the β‐blockers in turn, please indicate how closely you associate each with the following features on a scale of 0‐10 where 0 = not at all associated and 10 = very closely associated.
Rated on a scale from 0 (not at all associated) to 10 (very closely associated); mean scores are presented ± SD.
The four β‐blockers queried in this survey question were included based on the expectation of frequency of use and clinical utility.
P < 0.05.
P < 0.01 in favor of cardiologists vs PCPs.
P < 0.05.
P < 0.01 in favor of PCPs vs cardiologists.
Figure 3Use and Association of β‐blockers With Clinically Relevant Outcomesa. A, QB16. Which of the following β‐blockers do you consider to be associated with weight gain? B, QB17. Which of the following β‐blockers do you consider to be associated with clinically relevant changes in glucose? aAll possible answers to this survey question are shown. *P < 0.05. PCP, primary care physician