| Literature DB >> 30459608 |
Maurizio Sessa1,2, Annamaria Mascolo2, Cristina Scavone2, Ilaria Perone2, Annalisa Di Giorgio3, Michele Tari3, Annamaria Fucile3, Antonella De Angelis2, Daniel Bech Rasmussen4,5,6, Magnus Thorsten Jensen5, Kristian Kragholm7,8, Francesco Rossi2, Annalisa Capuano2, Liberata Sportiello2.
Abstract
Rationale: Long-term clinical implications of beta-blockade in obstructive airway diseases remains controversial. We investigated if within the first 5 years of treatment patients with heart failure and obstructive airway diseases using non β1-adrenoreceptor selective beta-blockers have an increased risk of being hospitalized for all-causes, heart failure, and chronic obstructive pulmonary disease (COPD) when compared to patient using selective beta-blockers.Entities:
Keywords: beta-blockers; clinical epidemiology; heart failure; humans; obstructive respiratory diseases; pharmacoepidemiology; pharmacology
Year: 2018 PMID: 30459608 PMCID: PMC6232895 DOI: 10.3389/fphar.2018.01212
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Demographic characteristics and concurrent pharmacological treatments of patients exposed to carvedilol or metoprolol/bisoprolol/nebivolol in the period 2010–2017 among those assisted by general practitioners of Caserta Local Health Unit (Italy).
| Variable | Level | Carvedilol ( | Metoprolol/bisoprolol/nebivolol ( | Total ( | |
|---|---|---|---|---|---|
| Age | mean (SD) | 74.4 (12.6) | 74.2 (13.4) | 74.3 (13.0) | 0.188 |
| Gender | Male | 5858 (49.5) | 5801 (49.0) | 11659 (49.2) | 0.466 |
| Year of inclusion | 2011 | 3131 (26.4) | 2968 (25.1) | 6099 (25.7) | |
| 2012 | 2916 (24.6) | 2959 (25.0) | 5875 (24.8) | ||
| 2013 | 2067 (17.5) | 2044 (17.3) | 4111 (17.4) | ||
| 2014 | 1259 (10.6) | 1350 (11.4) | 2609 (11.0) | ||
| 2015 | 1146 (9.7) | 1289 (10.9) | 2435 (10.3) | ||
| 2016 | 906 (7.6) | 864 (7.3) | 1770 (7.5) | ||
| 2017 | 419 (3.5) | 370 (3.1) | 789 (3.3) | 0.126 | |
| Angiotensin-converting enzyme inhibitors | N (%) | 4211 (35.6) | 1321 (36.5) | 8532 (36.0) | 0.264 |
| Hydroxymethylglutaryl-CoA reductase inhibitors | N (%) | 894 (7.5) | 878 (7.4) | 1772 (7.5) | 0.711 |
| Angiotensin II Receptor Blockers | N (%) | 2726 (23.0) | 2658 (22.4) | 5384 (22.7) | 0.139 |
| Calcium channel blockers | N (%) | 3075 (26.0) | 3014 (25.4) | 6089 (25.7) | 0.372 |
| Vitamin K antagonist | N (%) | 941 (7.9) | 958 (8.1) | 1899 (8.0) | 0.701 |
| Low-dose acetylsalicylic acid | N (%) | 4498 (38.0) | 4460 (37.7) | 8958 (37.8) | 0.620 |
| Loop diuretics | N (%) | 4191 (35.4) | 4268 (36.0) | 8459 (35.7) | 0.302 |
| Potassium-sparing diuretics | N (%) | 1827 (15.4) | 1852 (15.6) | 3679 (15.5) | 0.666 |
| Sodium-Channel Blockers (Class I Antiarrhythmics)∗ | N (%) | 252 (2.1) | 260 (2.2) | 512 (2.2) | 0.754 |
| Potassium-Channel Blockers (Class III Antiarrhythmics)∗ | N (%) | 580 (4.9) | 595 (5.0) | 1175 (5.0) | 0.675 |
| Organic nitrates | N (%) | 1722 (14.5) | 1785 (15.1) | 3507 (14.8) | 0.256 |
| Anticholinergic long-acting | N (%) | 2153 (18.2) | 2126 (18.0) | 4279 (18.1) | 0.440 |
| Anticholinergic short-acting | N (%) | 566 (4.8) | 582 (4.9) | 1148 (4.8) | 0.649 |
| Beta 2 agonist + anticholinergic | N (%) | ||||
| Beta 2 agonist long-acting – inhalers | N (%) | 584 (4.9) | 611 (5.2) | 1195 (5.0) | 0.440 |
| Beta 2 agonist short-acting – inhalers | N (%) | 876 (7.4) | 950 (8.0) | 1826 (7.7) | 0.075 |
| Glucorticoid + beta 2 agonist | N (%) | 7995 (67.5) | 7950 (67.1) | 15945 (67.3) | 0.542 |
| Glucorticoids - inhalers | N (%) | 6715 (56.7) | 6651 (56.2) | 13366 (56.4) | 0.409 |
| Mast-cell stabilizer | N (%) | 1745 (14.7) | 1819 (15.4) | 3564 (15.0) | 0.184 |
| Leukotriene receptor antagonist | N (%) | 193 (1.6) | 196 (1.7) | 389 (1.6) | 0.918 |
| Phosphodiesterase inhibitors | N (%) | 1557 (13.1) | 1606 (13.6) | 3163 (13.4) | 0.359 |
FIGURE 1Cumulative incidence curves for all-cause hospitalization in carvedilol users vs. metoprolol, bisoprolol, and nebivolol users.
FIGURE 3Cumulative incidence curves for heart failure hospitalization in carvedilol users vs. metoprolol, bisoprolol, and nebivolol users.
FIGURE 4Cumulative incidence curves for beta-blocker discontinuation in carvedilol users vs. metoprolol, bisoprolol, and nebivolol users.