| Literature DB >> 35687781 |
Reem K Jan1, Alawi Alsheikh-Ali1, Arif Al Mulla2, Kadhim Sulaiman3,4, Prashanth Panduranga3, Wael Al-Mahmeed5, Nooshin Bazargani6, Jassim Al-Suwaidi7,8, Mohammed Al-Jarallah9, Ahmed Al-Motarreb10, Amar Salam7,11,12, Ibrahim Al-Zakwani13.
Abstract
ABSTRACT: This study aimed to report on the use, predictors and outcomes of guideline-based medical therapy (GBMT) in patients with acute heart failure (HF) with reduced ejection fraction of <40% (HFrEF), from seven countries in the Arabian Gulf.Patients with acute HFrEF (N = 2680), aged 18 years or older, and hospitalized February-November 2012 were recruited and data were collected post discharge at 3 months (n = 2477) and 1 year (n = 2418). The use and doses of GBMT were evaluated as per European, American and Canadian HF guidelines. Analyses were performed using multivariate logistic regression. This study was registered at clinicaltrials.gov (NCT01467973).The majority of patients were on dual (39%) and triple (39%) GBMT modalities, 14% received one GBMT medication, while 7.2% were not on any GBMT medications. On admission, 80% of patients were on renin-angiotensin system (RAS) blockers, 75% on b-blockers and 56% on mineralocorticoid receptor antagonists (MRAs), with a small proportion of these patients were taking target doses (RAS blockers 13%, b-blockers 7.3%, MRAs 14%). Patients taking triple GBMT were younger (P < .001), less likely to have comorbidities such as diabetes mellitus (P < .001) and CKD/dialysis (P < .001), less likely to receive in-hospital invasive treatments (P < .001), and more likely to be treated by a cardiologist (P < .001), than patients on a single medication. Patients taking triple GBMT showed significantly reduced all-cause mortality both at 3-months (P = .048), and at 12-months (P = .003), compared to patients taking no GBMT.Triple GBMT prescribing and dosing in patients with HFrEF were suboptimal in the Arabian Gulf. Further studies are required to investigate GBMT utilization and dosing in the outpatient setting.Entities:
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Year: 2022 PMID: 35687781 PMCID: PMC9276384 DOI: 10.1097/MD.0000000000029452
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1Summary of patient selection and losses to follow-up. GBMT, guideline-based medical therapy.
Patient characteristics of the acute heart failure cohort with reduced ejection fraction (HFrEF, <40%) stratified by the number of guideline-based medical therapy (GBMT).
| Number of GBMT medications | ||||||
| Characteristic, n (%) unless specified otherwise | All (n = 2680) | 0 (n = 193; 7.2%) | 1 (n = 375; 14%) | 2 (n = 1057; 39%) | 3 (n = 1055; 39%) |
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| Age, mean ± SD, years | 58 ± 15 | 59 ± 16 | 63 ± 14 | 60 ± 14 | 55 ± 14 | <.001 |
| Male gender | 1936 (72%) | 136 (70%) | 261 (70%) | 759 (72%) | 780 (74%) | .360 |
| Smoking∗ | 673 (25%) | 35 (18%) | 68 (18%) | 263 (25%) | 307 (29%) | <.001 |
| Khatt | 481 (18%) | 20 (10%) | 17 (4.5%) | 130 (12%) | 314 (30%) | <.001 |
| Alcohol† | 112 (4.2%) | 8 (4.2%) | 14 (3.7%) | 59 (5.6%) | 31 (2.9%) | .024 |
| BMI, mean ± SD, kg/m2 | 27.5 ± 5.6 | 27.1 ± 5.3 | 27.9 ± 5.6 | 27.6 ± 5.7 | 27.3 ± 5.5 | .195 |
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| CAD | 1650 (62%) | 132 (69%) | 255 (68%) | 729 (69%) | 534 (51%) | <.001 |
| PVD | 125 (4.7%) | 10 (5.2%) | 20 (5.3%) | 55 (5.2%) | 40 (3.8%) | .393 |
| Afib | 306 (11%) | 18 (9.3%) | 38 (10%) | 118 (11%) | 132 (13%) | .430 |
| Stroke/TIA | 225 (8.4%) | 20 (10%) | 46 (12%) | 107 (10%) | 52 (4.9%) | <.001 |
| Hypertension | 1538 (57%) | 115 (60%) | 263 (70%) | 653 (62%) | 507 (48%) | <.001 |
| Dyslipidemia | 948 (35%) | 74 (38%) | 144 (38%) | 432 (41%) | 298 (28%) | <.001 |
| Diabetes mellitus | 1267 (47%) | 104 (54%) | 233 (62%) | 532 (50%) | 398 (38%) | <.001 |
| CKD/dialysis | 370 (14%) | 51 (26%) | 122 (33%) | 146 (14%) | 51 (4.8%) | <.001 |
| Asthma/COPD | 199 (7.4%) | 16 (8.3%) | 50 (13%) | 79 (7.5%) | 54 (5.1%) | <.001 |
| Sleep apnea‡ | 33 (1.2%) | 1 (0.5%) | 13 (3.5%) | 9 (0.9%) | 10 (1.0%) | .003 |
| Valvular heart disease | 301 (11%) | 24 (12%) | 36 (10%) | 122 (12%) | 119 (11%) | .709 |
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| HR, mean ± SD, bpm | 77 ± 13 | 73 ± 27 | 79 ± 13 | 78 ± 12 | 76 ± 11 | <.001 |
| SBP, mean ± SD, mmHg | 133 ± 32 | 121 ± 37 | 137 ± 32 | 134 ± 32 | 131 ± 31 | <.001 |
| BG, mean ± SD, mmol/L | 9.8 ± 6.1 | 11.0 ± 7.0 | 10.3 ± 5.6 | 9.9 ± 5.7 | 9.3 ± 6.4 | <.001 |
| Crea, mean ± SD, μmol/L | 130 ± 112 | 180 ± 143 | 162 ± 149 | 128 ± 107 | 112 ± 87 | <.001 |
| eGFR, mean ± SD, ml/min | 67 ± 32 | 53 ± 35 | 58 ± 35 | 69 ± 33 | 73 ± 29 | <.001 |
| LVEF, mean ± SD, % | 27 ± 7 | 27 ± 7 | 28 ± 7 | 28 ± 7 | 27 ± 7 | <.001 |
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| PCI/CABG | 232 (8.7%) | 15 (7.8%) | 41 (11%) | 113 (11%) | 63 (6.0%) | <.001 |
| In-hospital course treatment§ | 1205 (45%) | 167 (87%) | 205 (55%) | 426 (40%) | 407 (39%) | <.001 |
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| De novo heart failure | 1051 (39%) | 81 (42%) | 138 (37%) | 386 (37%) | 446 (42%) | .31 |
| ADCHF | 1629 (61%) | 112 (58%) | 237 (63%) | 671 (63%) | 609 (58%) | |
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| 2–4 | 2578 (96%) | 185 (96%) | 361 (96%) | 1013 (96%) | 1019 (97%) | .830 |
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| Cardiologist | 2046 (76%) | 123 (64%) | 264 (70%) | 783 (74%) | 876 (83%) | <.001 |
| Internist | 634 (24%) | 70 (36%) | 111 (30%) | 274 (26%) | 179 (17%) | |
Statistical analyses were performed using ordinary least squares (OLS) regression and Pearson's χ2 test, wherever appropriate. GBMT, defined as renin-angiotensin system (RAS) blocker, a beta-blocker and a mineralocorticoid antagonist (MRA).
ADCHF = acute decompensated chronic heart failure, Afib = atrial fibrillation, BG = baseline admission blood glucose, BMI = body mass index, bpm = beats per minute, CABG = coronary artery bypass graft, CAD = coronary artery disease, CKD = chronic kidney disease, COPD = chronic obstructive pulmonary disease, Crea = serum creatinine, eGFR = estimated glomerular filtration rate (n = 2621), HR = heart rate (n = 2583), kg = kilogram, LVEF = LV ejection fraction, NYHA = New York Heart Association functional class, PCI = percutaneous coronary intervention, PVD = peripheral vascular disease, SBP = systolic blood pressure (n = 2603), SD = standard deviation, TIA = transient ischemic attack.
Smoking, includes chewing tobacco and/or smoking water-pipe
Alcohol, drinking daily
Sleep apnea, only in those on therapy
In-hospital course treatment included non-invasive ventilation, intubation/ventilation, cardiogenic shock, inotropes, intra-aortic balloon pump, acute dialysis/ultrafiltration, atrial fibrillation requiring therapy, major bleeding, blood transfusion, stroke, and systemic infection requiring therapy.
Other medications of the acute heart failure cohort with reduced ejection fraction (<40%) stratified by the number of guideline-based medical therapy (GBMT).
| Number of GBMT medications | ||||||
| Medications, | All (N = 2680) | 0 (n = 193) | 1 (n = 375) | 2 (n = 1057) | 3 (n = 1055) |
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| Diuretics | 1604 (60%) | 118 (61%) | 230 (61%) | 651 (62%) | 605 (57%) | .207 |
| Digoxin | 581 (22%) | 57 (30%) | 64 (17%) | 212 (20%) | 248 (24%) | .001 |
| Oral nitrates | 717 (27%) | 64 (33%) | 129 (34%) | 275 (26%) | 249 (24%) | <.001 |
| CCB | 198 (7.4%) | 16 (8.3%) | 46 (12%) | 93 (8.8%) | 43 (4.1%) | <.001 |
| Aspirin | 1714 (64%) | 109 (56%) | 255 (68%) | 697 (66%) | 653 (62%) | .011 |
| Clopidogrel | 519 (19%) | 37 (19%) | 88 (23%) | 213 (20%) | 181 (17%) | .051 |
| Ivabradine | 78 (2.9%) | 7 (3.6%) | 8 (2.1%) | 31 (2.9%) | 32 (3.0%) | .751 |
| Diuretics | 2423 (96%) | 65 (82%) | 339 (94%) | 985 (95%) | 1034 (98%) | <.001 |
| Digoxin | 866 (34%) | 21 (27%) | 92 (25%) | 320 (31%) | 433 (41%) | <.001 |
| Oral nitrates | 985 (39%) | 34 (43%) | 173 (48%) | 429 (41%) | 349 (33%) | <.001 |
| CCB | 188 (7.4%) | 13 (16%) | 59 (16%) | 84 (8.1%) | 32 (3.0%) | <.001 |
| Aspirin | 2082 (82%) | 64 (81%) | 303 (84%) | 871 (84%) | 844 (80%) | .108 |
| Clopidogrel | 944 (37%) | 31 (39%) | 155 (43%) | 440 (43%) | 318 (30%) | <.001 |
| Ivabradine | 159 (6.3%) | 9 (11%) | 23 (6.4%) | 72 (7.0%) | 55 (5.2%) | .100 |
GBMT = defined as renin-angiotensin system (RAS) blocker, a beta-blocker and a mineralocorticoid antagonist (MRA), CCB = calcium channel blocker.
Analyses were performed using Pearson's chi-square test.
Discharge medications excluded for patients who died in-hospital (n = 154)
Figure 2The percentage of patients on guideline-based medical therapies (GBMTs) and the percentage of patients on target doses of GBMTs. RAS = renin-angiotensin system, MRA = mineralocorticoid antagonist.
Multivariate predictors of guideline-based medical therapy use for the treatment of heart failure.
| RAS blocker | β-blocker | MRA | GBMT | |||||
| Characteristic | aOR |
| aOR |
| aOR |
| aOR |
|
| Female gender | 1.02 | .863 | 0.97 | .789 | 0.96 | .655 | 0.88 | .217 |
| Age, per 10 years | 1.04 | .469 | 0.95 | .263 | 0.85 | <.001∗ | 0.86 | <.001∗ |
| BMI, per kg/m2 | 1.01 | .330 | 0.99 | .185 | 1.01 | .257 | 1.00 | .701 |
| Systolic BP, per 10 mmHg | 1.03 | .143 | 1.03 | .084 | 0.94 | <.001∗ | 0.98 | .121 |
| NYHA functional class, ≥2 | 1.45 | .190 | 0.77 | .373 | 1.49 | .081 | 1.30 | .275 |
| Heart rate, per 10 beats/min | 1.04 | .159 | 0.99 | .717 | 1.03 | .174 | 1.04 | .062 |
| eGFR, per ml/min | 1.02 | <.001∗ | 1.01 | .021∗ | 1.00 | .264 | 1.00 | .745 |
| Ischemic heart failure | 1.08 | .567 | 0.91 | .419 | 0.69 | <.001∗ | 0.76 | .005∗ |
| Hypertension | 1.07 | .637 | 1.23 | .099 | 0.73 | .004∗ | 0.91 | .378 |
| Diabetes mellitus | 0.81 | .118 | 0.84 | .125 | 0.78 | .011∗ | 0.76 | .007∗ |
| Asthma/COPD | 1.07 | .752 | 0.29 | <.001∗ | 1.26 | .173 | 0.73 | .086 |
| CKD/dialysis | 0.28 | <.001∗ | 1.22 | .241 | 0.31 | <.001∗ | 0.26 | <.001∗ |
| Cardiologist# | 1.17 | .251 | 2.83 | <.001∗ | 1.41 | .001∗ | 2.00 | <.001∗ |
GBMT = guideline-based medical therapy, defined as the concurrent administration of a renin-angiotensin system (RAS) blocker, a b-blocker and a mineralocorticoid antagonist (MRA). aOR = adjusted odds ratio, BMI = body mass index, BP = blood pressure, CKD = chronic kidney disease, COPD = chronic obstructive pulmonary disease, eGFR = estimated glomerular filtration rate, kg = kilogram, NYHA = New York Heart Association functional class.
Analyses were performed using multiple logistic regression models using the simultaneous method and only those were discharged alive after the index admission (N = 2526).
cardiologist versus an internist as the main caregiver.
significant at P < .05
Impact on the number of guideline-based medical therapy (GBMT) prescribing after hospital discharge on 3-month and 1-year mortality of the acute heart failure cohort with reduced ejection fraction (<40%).
| Number of GBMT medications | |||||
| Mortality | All (N = 2477∗) | 0 (n = 77) | 1 (n = 351) | 2 (n = 1018) | 3 (n = 1031) |
| 3-month, | 183 (7.4%) | 12 (15.6%) | 34 (9.7%) | 73 (7.2%) | 64 (6.2%) |
| aOR [95% CI] | 1 | 0.66 [0.31-1.39] | 0.50 [0.25-1.02] | 0.48 [0.23-0.99] | |
| Reference | |||||
| HL | 0.218 | ||||
| ROC | 0.71 | ||||
| 12-month, | 392 (16.2%) | 22 (29.3%) | 73 (21.6%) | 169 (17.0%) | 128 (12.6%) |
| aOR [95% CI] | 1 | 0.63 [0.35-1.15] | 0.50 [0.29-0.89] | 0.42 [0.23-0.74] | |
| Reference | |||||
| HL | 0.693 | ||||
| ROC | 0.71 | ||||
Reported percentage values are column percentages. Multivariate analyses were conducted using logistic regression model utilizing stepwise-backwards elimination method adjusting for age, gender, khatt use, smoking, alcohol, body mass index, hypertension, diabetes mellitus, prior stroke/transient ischemic attack, chronic kidney disease or dialysis, heart rate on admission, systolic and diastolic blood pressure on admission, in-hospital percutaneous coronary intervention or coronary artery bypass graft, prior medications (beta blocker, statin, aspirin, clopidogrel, angiotensin converting enzyme inhibitor, angiotensin receptor blocker, aldosterone antagonist) for the in-hospital model while for the 3- and 12-months logistic models, medications at hospital discharge were used.
GBMT, defined as renin-angiotensin system (RAS) blocker, a beta-blocker and a mineralocorticoid antagonist (MRA); aOR, adjusted odds ratio; CI, confidence interval; HL, Hosmer & Lemeshow; ROC, area under the receiver operating curve also known as c-statistic.
Excluded patients who died in-hospital (n = 154) as well as those that were lost to follow-up at 3-months (n = 49; N = 2477) and a further 59 patients at 12-months (N = 2418).