Literature DB >> 35687781

Outcomes of guideline-based medical therapy in patients with acute heart failure and reduced left ventricular ejection fraction: Observations from the Gulf acute heart failure registry (Gulf CARE).

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.
Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35687781      PMCID: PMC9276384          DOI: 10.1097/MD.0000000000029452

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


Introduction

Heart failure (HF) is associated with a globally high disease burden due to recurrent and prolonged hospitalizations and increased mortality.[ Several randomized controlled trials[ and international registries[ have contributed to the development of best practice evidence-based guidelines in patients with HF.[ Guideline-based medical therapy (GBMT) has been shown to improve prognosis and survival in patients with HF with reduced ejection fraction (HFrEF) of <40%.[ The mainstays of GBMT, as recommended by the American College of Cardiology (ACC) and European Society of Cardiology (ESC), are renin-angiotensin system (RAS) blockers (angiotensin-converting enzyme (ACE) inhibitors and angiotensin II receptor blockers (ARBs)), and b-blockers as first-line therapy and mineralocorticoid receptor antagonists (MRAs) as second-line therapy.[ The ACC recommends that patients with HFrEF are treated with the maximally tolerated doses of appropriate GBMT.[ However, there is evidence that many patients with HFrEF do not receive GBMT, and that less than 25% receive suitable target doses of GBMT.[ The lack of use of GBMT and/or treatment with doses that are less than 50% of the guideline-recommended target doses are associated with increased morbidity.[ Although several registries and observational studies have been conducted in HF patients from developed countries, there is a paucity of data on the management of HF in the developing world including the Middle East.[ The Gulf acute heart failure registry (Gulf CARE) is the first multicentre prospective observational survey of patients with acute HF in the Gulf Middle East region.[ The Gulf CARE registry enrolled patients with acute HF admitted to various hospitals from seven countries, namely, Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, United Arab Emirates (UAE), and Yemen.[ The aim of this paper is to report on the use, predictors and outcomes of GBMT in patients with acute HFrEF in the Arabian Gulf.

Methods

Gulf CARE is a multinational, multicentre, prospective registry of patients with acute HF admitted to 47 hospitals in seven Middle Eastern Gulf countries.[ The design, methodology, clinical characteristics, management and outcomes of the Gulf CARE registry have been previously described in detail.[ Briefly, patients with acute HF aged 18 years or older, hospitalized between February 14, 2012 and November 13, 2012, and who were eligible to participate in the study were recruited and followed up at 3 months and at 1 year post discharge. Data collected at the point of initial care and during hospitalization included: demographics, HF aetiology, risk and precipitating factors for acute HF, comorbidities, clinical presentation, investigations including troponin and brain natriuretic peptide (BNP), drug history, defibrillator use, and in-hospital outcome. Additionally, mortality data at 3-months and 12-months follow-up were collected. A total of 5005 patients with acute HF were enrolled (original Gulf CARE cohort). The present analysis includes only the 2680 patients with reduced ejection fraction of <40% (HFrEF) (Fig. 1). Left ventricular ejection fraction was measured during the index hospitalization. Patients were followed up at 3 months by telephone (n = 2477) and at 1 year (n = 2418) either by telephone or at a clinic visit. Data entry was performed online on a secure study website (www.gulfcare.org) using a customized electronic case record form (CRF), whereby each investigator was assigned an individual username and password for data entry. Data collection and validation details of the Gulf CARE registry has already described and published elsewhere.[ In summary, all the variables in an online case report form (CRF) were defined (including range provided for numerical data) to standardize data entry. To avoid any missing data, most of the variables were made compulsory, so that the CRF could not be saved until all the required data were entered. A data quality control committee performed audits of the collected data in one hospital of each country, chosen at random. At these sites, 100% of CRFs for enrolled patients were monitored for source documentation and accuracy. The study was approved by the locally appointed ethics committees in each of the seven Gulf countries, and written informed consent was obtained from all participants.[ The study also conforms with the principles outlined in the Declaration of Helsinki. The study was also registered at clinicaltrials.gov (NCT01467973).
Figure 1

Summary of patient selection and losses to follow-up. GBMT, guideline-based medical therapy.

Summary of patient selection and losses to follow-up. GBMT, guideline-based medical therapy.

Inclusion criteria

Males and females 18 years of age or older, admitted to any of the participating hospitals with the admission diagnosis of acute HF, were included in the registry. Acute HF was defined according to the ESC as rapid onset of symptoms and signs secondary to abnormal cardiac function and included: firstly, symptoms (dyspnoea at rest or on exercise, fatigue, tiredness, and ankle swelling); secondly, signs (tachycardia, tachypnoea, elevated jugular venous pressure, pulmonary rales, pleural effusion, hepatomegaly, and peripheral oedema); and finally, objective evidence of structural or functional abnormality of the heart at rest (third heart sound, murmurs, cardiomegaly, abnormal echocardiogram, and raised BNP concentration).[ Acute HF was further classified as either acute decompensated chronic HF (ADCHF) or new-onset acute HF (de novo AHF) based on the 2008 ESC guidelines.[ ADCHF was defined as worsening of HF in patients with a previous diagnosis or hospitalization for HF. De novo acute HF was defined as acute HF in patients with no prior history of HF.

Exclusion criteria

Patients with HF who were discharged from the emergency room without admission were excluded. Patients transferred from a non-registry hospital and those from whom informed consent could not be obtained were also excluded. Patients whose final diagnosis was not HF, and those who had a preserved ejection fraction of >40% were also excluded from the final analyses.

Outcomes measures

As per the objectives, the main outcomes measures included the numbers and types of GBMT use (RAS blockers, b-blockers, and MRAs), their predictors as well as the impact of GBMT use on 3-month and 12-month all-cause cumulative mortality as elaborated in the statistical analysis section. Optimum target doses attainments were based on the American (ACC) and European (ESC) HF guidelines.[

Statistical analysis

Descriptive statistics were used to summarize the data. For categorical variables, frequencies and percentages were reported, and differences between groups were analysed using Pearson's χ2 test (or Fisher's exact test for expected cells <5). For continuous variables, the mean and standard deviation (SD) were used to summarize the data, while comparative analyses were done using ordinary least squares (OLS) regression. Analyses of multivariate predictors of GBMT for HF employed multiple logistic regression utilizing stepwise-backwards elimination method adjusting for age, gender, khatt use, smoking, alcohol, body mass index, hypertension, diabetes mellitus, prior stroke/transient ischemic attack (TIA), chronic kidney disease (CKD)/dialysis, heart rate (HR) on admission, systolic blood pressure (BP) and diastolic BP on admission, in-hospital percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG), 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. An a priori two-tailed level of significance was set at a P-value of .05. Statistical analyses were conducted using STATA version 13.1 (STATA Corporation, College Station, TX).

Results

From the original Gulf CARE cohort of 5005 patients, this study included a total of 2680 patients who had HFrEF. These patients had an overall mean age of 58 ± 15 years, 72% (n = 1936) were males, 25% (n = 673) were smokers (including chewing tobacco and/or smoking water-pipe), 18% (n = 481) chewed khatt, and 4.2% (n = 112) were daily alcohol consumers. The three most common co-morbidities were coronary artery disease (CAD) (62%; n = 1650), hypertension (57%; n = 1538), and diabetes mellitus (47%; n = 1267). The majority of patients had ADCHF (61%; n = 1629). The majority of patients were on dual (39%; n = 1057) and triple (39%; n = 1055) GBMT modalities, 14% (n = 375) received only one GBMT medication, while 7.2% (n = 193) were not on any GBMT medications (Table 1). Out of the cohort, only 8.8% (n = 236) of the patients had recorded B-type natriuretic peptide (BNP), of whom 99% (234/236) had BNP values of ≥100 pg/mL. Additionally, elevated troponin was reported in 41% (1012/2454) of the patients (data for BNP and elevated troponin are not shown inTable 1). At 12-months post-discharge, follow-up was complete in 2,418 (90.2%) patients, after excluding patients who died in-hospital (5.7%), and those lost to follow-up (4.0%). For a detailed patient flow including exclusions and losses to follow-up, please refer to Figure 1.
Table 1

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 otherwiseAll (n = 2680)0 (n = 193; 7.2%)1 (n = 375; 14%)2 (n = 1057; 39%)3 (n = 1055; 39%) P
Demographic
Age, mean ± SD, years58 ± 1559 ± 1663 ± 1460 ± 1455 ± 14<.001
Male gender1936 (72%)136 (70%)261 (70%)759 (72%)780 (74%).360
Smoking673 (25%)35 (18%)68 (18%)263 (25%)307 (29%)<.001
Khatt481 (18%)20 (10%)17 (4.5%)130 (12%)314 (30%)<.001
Alcohol112 (4.2%)8 (4.2%)14 (3.7%)59 (5.6%)31 (2.9%).024
BMI, mean ± SD, kg/m227.5 ± 5.627.1 ± 5.327.9 ± 5.627.6 ± 5.727.3 ± 5.5.195
Medical history
CAD1650 (62%)132 (69%)255 (68%)729 (69%)534 (51%)<.001
PVD125 (4.7%)10 (5.2%)20 (5.3%)55 (5.2%)40 (3.8%).393
Afib306 (11%)18 (9.3%)38 (10%)118 (11%)132 (13%).430
Stroke/TIA225 (8.4%)20 (10%)46 (12%)107 (10%)52 (4.9%)<.001
Hypertension1538 (57%)115 (60%)263 (70%)653 (62%)507 (48%)<.001
Dyslipidemia948 (35%)74 (38%)144 (38%)432 (41%)298 (28%)<.001
Diabetes mellitus1267 (47%)104 (54%)233 (62%)532 (50%)398 (38%)<.001
CKD/dialysis370 (14%)51 (26%)122 (33%)146 (14%)51 (4.8%)<.001
Asthma/COPD199 (7.4%)16 (8.3%)50 (13%)79 (7.5%)54 (5.1%)<.001
Sleep apnea33 (1.2%)1 (0.5%)13 (3.5%)9 (0.9%)10 (1.0%).003
Valvular heart disease301 (11%)24 (12%)36 (10%)122 (12%)119 (11%).709
Clinical presentation
HR, mean ± SD, bpm77 ± 1373 ± 2779 ± 1378 ± 1276 ± 11<.001
SBP, mean ± SD, mmHg133 ± 32121 ± 37137 ± 32134 ± 32131 ± 31<.001
BG, mean ± SD, mmol/L9.8 ± 6.111.0 ± 7.010.3 ± 5.69.9 ± 5.79.3 ± 6.4<.001
Crea, mean ± SD, μmol/L130 ± 112180 ± 143162 ± 149128 ± 107112 ± 87<.001
eGFR, mean ± SD, ml/min67 ± 3253 ± 3558 ± 3569 ± 3373 ± 29<.001
LVEF, mean ± SD, %27 ± 727 ± 728 ± 728 ± 727 ± 7<.001
In-hospital management
PCI/CABG232 (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
Heart failure type
De novo heart failure1051 (39%)81 (42%)138 (37%)386 (37%)446 (42%).31
ADCHF1629 (61%)112 (58%)237 (63%)671 (63%)609 (58%)
NYHA functional class
2–42578 (96%)185 (96%)361 (96%)1013 (96%)1019 (97%).830
Main physician
Cardiologist2046 (76%)123 (64%)264 (70%)783 (74%)876 (83%)<.001
Internist634 (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.

Patient characteristics of the acute heart failure cohort with reduced ejection fraction (HFrEF, <40%) stratified by the number of guideline-based medical therapy (GBMT). 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. When compared to patients on single medication, those on the triple GBMT combination were younger (55 vs 63 years; P < .001) but more likely to be smokers (29% vs 18%; P < .001) and khatt users (30% vs 4.5%; P < .001). However, they were less likely to have associated co-morbidities such as CAD (51% vs 68%; P < .001), stroke/TIA (4.9% vs 12%; P < .001), hypertension (48% vs 70%; P < .001), dyslipidemia (28% vs 38%; P < .001), diabetes mellitus (38% vs 62%; P < .001), CKD/dialysis (4.8% vs 33%; P < .001), asthma/chronic obstructive pulmonary disease (COPD) (5.1% vs 13%; P < .001), and sleep apnea requiring therapy (1.0% vs 3.5%; P = .003) (Table 1). On admission, patients on the triple GBMT medications (in comparison with patients on single medication), presented with lower HR (76 vs 79 beats/min; P < .001), systolic BP (131 vs 137 mmHg; P < .001), blood glucose (9.3 vs 10.3 mmol/L; P < .001), creatinine (112 vs 162 μmol/L; P < .001), and higher estimated glomerular filtration rate (eGFR) (73 vs 58 ml/min/; P < .001) (Table 1). In comparison to patients on a single GBMT medication, those on the triple GBMT medications were less likely to be managed with in-hospital PCI/CABG (6.0% vs 11%; P < .001) and in-hospital courses (i.e., infection requiring therapy, requirement for inotropes, and non-invasive ventilation (39% vs 55%; P < .001)). Patients on the triple GBMT were more likely to be looked after by a cardiologist, as their main physician, rather than an internist (83% vs 17%; P < .001) (Table 1), and to be discharged with diuretics (98% vs 94%; P < .001) and digoxin (41% vs 25%; P < .001) (Table 2), compared to patients on a single GBMT medication.
Table 2

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, n (%)All (N = 2680)0 (n = 193)1 (n = 375)2 (n = 1057)3 (n = 1055) P
Pre-hospitalization medications
Diuretics1604 (60%)118 (61%)230 (61%)651 (62%)605 (57%).207
Digoxin581 (22%)57 (30%)64 (17%)212 (20%)248 (24%).001
Oral nitrates717 (27%)64 (33%)129 (34%)275 (26%)249 (24%)<.001
CCB198 (7.4%)16 (8.3%)46 (12%)93 (8.8%)43 (4.1%)<.001
Aspirin1714 (64%)109 (56%)255 (68%)697 (66%)653 (62%).011
Clopidogrel519 (19%)37 (19%)88 (23%)213 (20%)181 (17%).051
Ivabradine78 (2.9%)7 (3.6%)8 (2.1%)31 (2.9%)32 (3.0%).751
Discharge medications (N = 2526)
Diuretics2423 (96%)65 (82%)339 (94%)985 (95%)1034 (98%)<.001
Digoxin866 (34%)21 (27%)92 (25%)320 (31%)433 (41%)<.001
Oral nitrates985 (39%)34 (43%)173 (48%)429 (41%)349 (33%)<.001
CCB188 (7.4%)13 (16%)59 (16%)84 (8.1%)32 (3.0%)<.001
Aspirin2082 (82%)64 (81%)303 (84%)871 (84%)844 (80%).108
Clopidogrel944 (37%)31 (39%)155 (43%)440 (43%)318 (30%)<.001
Ivabradine159 (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)

Other medications of the acute heart failure cohort with reduced ejection fraction (<40%) stratified by the number of guideline-based medical therapy (GBMT). 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) Of the 2680 patients with HFrEF on the Gulf CARE registry, the majority were receiving GBMT on admission (RAS blockers 80%, b-blockers 75%, MRAs 56%). However, only a small proportion of these patients were taking target doses of these medications (RAS blockers 13%, b-blockers 7.3%, MRAs 14%; Fig. 2). For a detailed list of medications used by all patients, see Table 2. A total of 3.1% (n = 82) of the patients were on implantable cardiac defibrillators (28 on cardiac resynchronization therapy defibrillator (CRT-D), one on cardiac resynchronization therapy pacemaker (CRT-P), 48 on implantable cardioverter defibrillator (ICD), and five on permanent pacemaker (PPM)) (data not shown).
Figure 2

The 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.

The 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. After adjusting for multiple factors using a multivariate logistic model, older age (P < .001) and comorbidities such as ischemic HF (P = .005), diabetes mellitus (P = .007) and CKD/dialysis (P < .001) were identified as significant independent factors associated with not being prescribed the triple GBMT combination (Table 3). On the other hand, patients whose treatment was primarily managed by cardiologists were more likely to be prescribed the triple GBMT combination (P < .001; Table 3). A full list of independent factors associated with the use of RAS blockers, b-blockers and MRAs is outlined in Table 3.
Table 3

Multivariate predictors of guideline-based medical therapy use for the treatment of heart failure.

RAS blockerβ-blockerMRAGBMT
CharacteristicaOR P aOR P aOR P aOR P
Female gender1.02.8630.97.7890.96.6550.88.217
Age, per 10 years1.04.4690.95.2630.85<.0010.86<.001
BMI, per kg/m21.01.3300.99.1851.01.2571.00.701
Systolic BP, per 10 mmHg1.03.1431.03.0840.94<.0010.98.121
NYHA functional class, ≥21.45.1900.77.3731.49.0811.30.275
Heart rate, per 10 beats/min1.04.1590.99.7171.03.1741.04.062
eGFR, per ml/min1.02<.0011.01.0211.00.2641.00.745
Ischemic heart failure1.08.5670.91.4190.69<.0010.76.005
Hypertension1.07.6371.23.0990.73.0040.91.378
Diabetes mellitus0.81.1180.84.1250.78.0110.76.007
Asthma/COPD1.07.7520.29<.0011.26.1730.73.086
CKD/dialysis0.28<.0011.22.2410.31<.0010.26<.001
Cardiologist#1.17.2512.83<.0011.41.0012.00<.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

Multivariate predictors of guideline-based medical therapy use for the treatment of heart failure. 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 There was a significant reduction in all-cause mortality both at 3-months (adjusted odds ratio (aOR) 0.48; 95% confidence interval (CI): 0.23–0.99; P = .048), and at 12-months (aOR 0.42; 95% CI: 0.23–0.74; P = .003) in patients taking the triple GBMT combination in comparison to those not taking any GBMT medication (Table 4). There was a trend for a reduction in the adjusted odds ratios (aORs) for both 3-month and 12-month all-cause mortality with increasing number of GBMT medications from 0 to 3 (Table 4). There were no significant interactions between age and the number of GBMTs in terms of all-cause mortality at 3-months (P = .927), or at 12-months (P = .309).
Table 4

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
MortalityAll (N = 2477)0 (n = 77)1 (n = 351)2 (n = 1018)3 (n = 1031)
3-month, n (%)183 (7.4%)12 (15.6%)34 (9.7%)73 (7.2%)64 (6.2%)
aOR [95% CI]10.66 [0.31-1.39]0.50 [0.25-1.02]0.48 [0.23-0.99]
P-valueReferenceP = .271P = .057P = .048
HL P-value0.218
ROC0.71
12-month, n (%)392 (16.2%)22 (29.3%)73 (21.6%)169 (17.0%)128 (12.6%)
aOR [95% CI]10.63 [0.35-1.15]0.50 [0.29-0.89]0.42 [0.23-0.74]
P-valueReferenceP = .130P = .018P = .003
HL p-value0.693
ROC0.71

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).

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%). 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).

Discussion

We report several key findings in this analysis on current use and predictors of GBMT, as well as their impact on survival in patients with acute HFrEF. Of the 2680 patients with HFrEF on the Gulf CARE registry, the majority were on dual (39%) and triple (39%) GBMT, while 7.2% of patients did not receive any GBMT medications. GBMT was achieved as follows: RAS blockers, 80%; b-blockers, 75%; MRAs, 56%. Despite the majority of Gulf CARE patients receiving GBMT on admission, target doses were achieved in only a minority of these patients (RAS blockers 13%, b-blockers 7.3%, MRAs 14%). In terms of in-hospital management, patients on the triple GBMT were less likely than those on single GBMT to require interventions such as PCI/CABG or in-hospital courses including infection requiring therapy, requirement for inotropes, and non-invasive ventilation. Having a cardiologist as the main treating physician was associated with increased likelihood of patients being prescribed triple GBMT. On the other hand, patients with ischemic HF, diabetes mellitus and CKD/dialysis were significantly less likely to receive triple GBMT. Advanced age was associated with decreased use of triple GBMT; however, there was no significant interaction between age and the number of GBMT for 3-month or 12-month mortality. Utilization of GBMT in patients from the Gulf CARE registry (RAS blockers, 80%; b-blockers, 75%; MRAs, 56%) was found to be more or less similar to previous studies. For example, the CHAnge the Management of Patients with Heart Failure (CHAMP-HF) registry reported the use of RAS blockers in 74% and b-blockers in 66% of its 3095 patients from 151 US practice sites.[ Another study which assessed 370 patients with HFrEF from two centres in Canada, reported that 86.4% were prescribed RAS blockers, 93.4% b-blockers and 44.7% MRAs.[ Valika and colleagues reported that 74.3% of their 244 patients with HFrEF were using ACE inhibitors, 95.4% were using b-blockers and 34% were using MRAs.[ A Turkish study of 1462 patients with HFrEF recruited from 24 centers reported that 78.2%, 90.2%, and 55.4% of patients received treatment with RAS blockers, b-blockers and MRAs, respectively.[ In comparison to these studies, the use of RAS blockers and MRAs in Gulf CARE patients was either similar or higher; however, b-blockers were less utilized. The lack of treatment of HFrEF with GBMT and/or treatment with suboptimal dosages are associated with increased morbidity,[ hence it is recommended by the ACC that HFrEF patients should be treated with the maximally tolerated doses of appropriate GBMT.[ Target doses of GBMT were achieved in only a minority of patients from the Gulf CARE registry (RAS blockers 13%, b-blockers 7.3%, MRAs 14%). Suboptimal dosing in patients with HFrEF is a well-known phenomenon which has been reported by several previous studies.[ The positive impact of treatment of Gulf CARE patients with acute HFrEF with ACE inhibitors or ARBs in terms of reduced mortality risk has been previously reported.[ In this study, we report multiple significant benefits to being treated with three GBMT medications in comparison to a single medication in Gulf CARE patients with HFrEF. These benefits included decreased 3-month and 12-month mortality, similar to previous studies,[ decreased HR, systolic BP, blood glucose and creatinine, and improved eGFR on follow-up. Comorbidities such as CAD, dyslipidemia, diabetes mellitus, CKD, asthma/COPD and sleep apnea requiring therapy were more likely to be present in patients on a single GBMT in comparison to those taking triple GBMT. In terms of in-hospital management, patients on the triple GBMT were less likely than those on single GBMT to require interventions such as PCI/CABG or in-hospital course, suggesting pharmacological management with triple GBMT can help reduce the need for serious interventions. The reasons underlying suboptimal utilization and dosing of GBMT in HFrEF patients from the Gulf region remain unclear and require further investigation. However, as mentioned earlier, low utilization and under-dosing of GBMT is not specific to the Gulf region and has been reported worldwide by several studies.[ Owing to this global observation of under-utilization of evidence-based life-prolonging treatments, and dosing below trial-proven doses, Packer and Metra in a recent review article argue that GBMT for HFrEF does not exist.[ They propose a framework that promotes forced-titration strategies and prescriber self-awareness regarding the lack of evidence supporting the currently prevalent prescribing of sub-target doses.[ Our data demonstrated that cardiologist involvement in care was associated with increased prescribing of triple GBMT, this finding is supported by a Canadian study mentioned above which also found cardiologist intervention to be associated with increased prescribing of GBMT as well as increased target dosing of GBMT.[ It is possible that the increased likelihood of patients being discharged with diuretics and digoxin may be related to having a cardiologist involved in care; however, this association was not investigated in the current study. Patients with comorbid ischemic HF, diabetes mellitus and CKD/dialysis were significantly less likely to receive triple GBMT. When investigated individually, there was no significant reduction in the prescribing of RAS blockers or b-blockers for ischemic HF or diabetes, but there was significant reduction in the prescribing of MRAs in patients with these comorbidities. For patients with CKD/dialysis, both RAS blockers and MRAs were less likely to be prescribed. This is not surprising given that both classes of medication are to be used with caution with impaired renal function.[ B-blockers were also less prescribed to HFrEF patients with asthma/COPD, probably because even cardio-selective b-blockers can precipitate bronchospasms, especially if asthma/COPD is not well controlled.[ Another significant predictor of GBMT use in patients with HFrEF was age which has been previously reported[; advanced age was associated with decreased use of triple GBMT. Our analysis showed no significant interaction between age and the number of GBMT for 3-month or 12-month mortality. Hence, the benefits of being on triple GBMT should not be affected by age, and older patients could derive as much benefit as younger patients from the triple therapy. This is an important finding as it should encourage prescribers, including cardiologists, to increase prescribing triple GBMT regardless of patient of age, and to aim to reach the appropriate target doses in order to obtain the maximum possible benefits of therapy in patients with HFrEF. There are some limitations to the current study. Firstly, as this registry relates to data captured in 2012, recent therapeutic GBMT modalities such as sacubritil/valsartan, sodium-glucose cotransporter 2 inhibitor and oral soluble guanylate cyclase stimulator were missing. However, recently published data on AHF in the region also did not mention these newer GBMT modalities.[ Secondly, certain information were unavailable including the duration or compliance of use of the GBMT medications prior to hospital admission, as well as contraindications and adverse events to certain medications which may have led to lower utilization of GBMT. Moreover, compliance to medications at 12-months was not validated. Thirdly, given that GBMT dosages were reported in an inpatient setting, the reported under-dosing may be inaccurate, since up-titration of the doses usually occurs in the outpatient setting. Therefore, the doses of the prescribed GBMT may in fact be closer to guideline recommendations than reported in this study. Fourthly, while cardiovascular mortality may have been the most relevant type of mortality rate to report, we only had the data to report all-cause mortality. In saying that, all-cause mortality was reported in-hospital, at 3-months and 12-months. Fifthly, echocardiographic data and pro-BNP measurements were missing in the majority of the patients, and LVEF was not measured at the 3-months and 12-months follow-up visits. Lastly, the study design was retrospective, therefore it may have inherently introduced self-selection biases, for example, analysis being confounded by severity of disease or comorbidities.

Conclusion

The proportion of patients with HFrEF in the Arabian Gulf taking triple GBMT was suboptimal, with only a small proportion of patients reaching target doses. The use of triple GBMT, in comparison to single GBMT, was associated with decreased 3-month and 12-month mortality. There were several significant predictors for triple GBMT; patients were less likely to receive GBMT if they were older, or had comorbidities such as ischemic HF, diabetes mellitus or CKD/dialysis. Finally, having a cardiologist as their main caregiver increased the likelihood of being prescribed triple GBMT. Nonetheless, prescribing of triple pharmacotherapy for HFrEF in the Arabian Gulf was underutilized, and dosing was suboptimal. Continuing education initiatives are required to facilitate increased implementation of guideline-recommended prescribing and evidence-based dosing, encouraging timely up-titration to target doses in patients with HFrEF, including those older in age. Team-based care approaches including a pharmacist may improve initiation, up-titration and compliance to medication of HF patients.[

Acknowledgments

The authors thank the patients who consented to participate in this study as well as the medical staff involved from the seven Gulf countries. Publication of this manuscript was supported by Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU).

Author contributions

Conceptualization: Reem K. Jan, Alawi Alsheikh-Ali, Arif Al Mulla, Kadhim Sulaiman, Prashanth Panduranga, Wael Al-Mahmeed, Nooshin Bazargani, Jassim Al-Suwaidi, Mohammed Al-Jarallah, Ahmed Al-Motarreb, Amar Salam, Ibrahim Al-Zakwani. Formal analysis: Reem K. Jan, Alawi Alsheikh-Ali, Ibrahim Al-Zakwani. Investigation: Alawi Alsheikh-Ali, Arif Al Mulla, Kadhim Sulaiman, Prashanth Panduranga, Wael Al-Mahmeed, Nooshin Bazargani, Jassim Al-Suwaidi, Mohammed Al-Jarallah, Ahmed Al-Motarreb, Amar Salam. Writing – original draft: Reem K. Jan, Alawi Alsheikh-Ali, Ibrahim Al-Zakwani. Writing – review & editing: Reem K. Jan, Alawi Alsheikh-Ali, Arif Al Mulla, Kadhim Sulaiman, Prashanth Panduranga, Wael Al-Mahmeed, Nooshin Bazargani, Jassim Al-Suwaidi, Mohammed Al-Jarallah, Ahmed Al-Motarreb, Amar Salam, Ibrahim Al-Zakwani.
  46 in total

1.  2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines.

Authors:  Clyde W Yancy; Mariell Jessup; Biykem Bozkurt; Javed Butler; Donald E Casey; Mark H Drazner; Gregg C Fonarow; Stephen A Geraci; Tamara Horwich; James L Januzzi; Maryl R Johnson; Edward K Kasper; Wayne C Levy; Frederick A Masoudi; Patrick E McBride; John J V McMurray; Judith E Mitchell; Pamela N Peterson; Barbara Riegel; Flora Sam; Lynne W Stevenson; W H Wilson Tang; Emily J Tsai; Bruce L Wilkoff
Journal:  J Am Coll Cardiol       Date:  2013-06-05       Impact factor: 24.094

2.  Heart failure epidemiology 2000-2013: insights from the German Federal Health Monitoring System.

Authors:  Michael Christ; Stefan Störk; Marcus Dörr; Hans J Heppner; Christian Müller; Rolf Wachter; Uwe Riemer
Journal:  Eur J Heart Fail       Date:  2016-06-01       Impact factor: 15.534

3.  Optimizing Medical Therapy in Chronic Worsening HFrEF: A Long Way to Go.

Authors:  Adam P Bress; Jordan B King
Journal:  J Am Coll Cardiol       Date:  2019-03-05       Impact factor: 24.094

4.  Prevalence and outcome of Middle-eastern Arab and South Asian patients hospitalized with heart failure: insight from a 20-year registry in a Middle-eastern country (1991-2010).

Authors:  Jassim Al Suwaidi; Nidal Asaad; Awad Al-Qahtani; Abdul Wahid Al-Mulla; Rajvir Singh; Hajar A Albinali
Journal:  Acute Card Care       Date:  2012-02-01

5.  Pharmacotherapy Use in Older Patients With Heart Failure and Reduced Ejection Fraction After a Skilled Nursing Facility Stay.

Authors:  Lin Li; Bill M Jesdale; Anne Hume; Giovanni Gambassi; Robert J Goldberg; Kate L Lapane
Journal:  J Card Fail       Date:  2017-09-20       Impact factor: 5.712

6.  Design and preliminary results of the heart function assessment registry trial in Saudi Arabia (HEARTS) in patients with acute and chronic heart failure.

Authors:  Khalid F AlHabib; Abdelfatah A Elasfar; Hanan AlBackr; Hussam AlFaleh; Ahmad Hersi; Fayez AlShaer; Tarek Kashour; Khalid AlNemer; Gamal A Hussein; Layth Mimish
Journal:  Eur J Heart Fail       Date:  2011-08-25       Impact factor: 15.534

7.  Effects of candesartan on mortality and morbidity in patients with chronic heart failure: the CHARM-Overall programme.

Authors:  Marc A Pfeffer; Karl Swedberg; Christopher B Granger; Peter Held; John J V McMurray; Eric L Michelson; Bertil Olofsson; Jan Ostergren; Salim Yusuf; Stuart Pocock
Journal:  Lancet       Date:  2003-09-06       Impact factor: 79.321

8.  Evaluation of guideline-based cardiovascular medications and their respective doses in heart failure patients in Oman.

Authors:  Diana Arandi Hanbali; Khamis Al Hashmi; Mohammed Al Za'abi; Ibrahim Al-Zakwani
Journal:  Int J Clin Pharm       Date:  2020-11-02

9.  Prescribing patterns of evidence-based heart failure pharmacotherapy and outcomes in the ASIAN-HF registry: a cohort study.

Authors:  Tiew-Hwa K Teng; Jasper Tromp; Wan Ting Tay; Inder Anand; Wouter Ouwerkerk; Vijay Chopra; Gurpreet S Wander; Jonathan Jl Yap; Michael R MacDonald; Chang Fen Xu; Yvonne Mf Chia; Wataru Shimizu; A Mark Richards; Adriaan Voors; Carolyn Sp Lam
Journal:  Lancet Glob Health       Date:  2018-09       Impact factor: 26.763

10.  Evaluation of a guideline directed medical therapy titration program in patients with heart failure with reduced ejection fraction.

Authors:  Kathir Balakumaran; Aadhar Patil; Shannon Marsh; Joseph Ingrassia; Chia-Ling Kuo; Daniel Louis Jacoby; Sabeena Arora; Richard Soucier
Journal:  Int J Cardiol Heart Vasc       Date:  2018-11-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.