Literature DB >> 27200206

The Modification Effect of Influenza Vaccine on Prognostic Indicators for Cardiovascular Events after Acute Coronary Syndrome: Observations from an Influenza Vaccination Trial.

Apirak Sribhutorn1, Arintaya Phrommintikul2, Wanwarang Wongcharoen2, Usa Chaikledkaew3, Suntara Eakanunkul4, Apichard Sukonthasarn2.   

Abstract

Introduction. The prognosis of acute coronary syndrome (ACS) patients has been improved with several treatments such as antithrombotics, beta-blockers, and angiotensin-converting enzyme inhibitors (ACEI) as well as coronary revascularization. Influenza vaccination has been shown to reduce adverse outcomes in ACS, but no information exists regarding the interaction of other treatments. Methods. This study included 439 ACS patients from Phrommintikul et al. A single dose of inactivated influenza vaccine was given by intramuscular injection in the vaccination group. The cardiovascular outcomes were described as major cardiovascular events (MACEs) which included mortality, hospitalization due to ACS, and hospitalization due to heart failure (HF). The stratified and multivariable Cox's regression analysis was performed. Results. The stratified Cox's analysis by influenza vaccination for each cardiovascular outcome and discrimination of hazard ratios showed that beta-blockers had an interaction with influenza vaccination. Moreover, the multivariable hazard ratios disclosed that influenza vaccine is associated with a significant reduction of hospitalization due to HF in patients who received beta-blockers (HR = 0.05, 95% CI = 0.004-0.71, P = 0.027), after being adjusted for prognostic indicators (sex, dyslipidemia, serum creatinine, and left ventricular ejection fraction). Conclusions. The influenza vaccine was shown to significantly modify the effect of beta-blockers in ACS patients and to reduce the hospitalization due to HF. However, further study of a larger population and benefits to HF patients should be investigated.

Entities:  

Year:  2016        PMID: 27200206      PMCID: PMC4855018          DOI: 10.1155/2016/4097471

Source DB:  PubMed          Journal:  Cardiol Res Pract        ISSN: 2090-0597            Impact factor:   1.866


1. Introduction

Influenza vaccination in the community can significantly reduce influenza infection [1] and incidence of influenza-like illness among the elderly [2], as well as hospitalization and death due to pneumonia, influenza [3-7], or cardiovascular diseases [1, 3–8]. Furthermore, randomized controlled studies have demonstrated benefits in reducing major adverse cardiovascular events among patients with coronary artery diseases (CAD) [9-13]. For this reason, the American Heart Association and American College of Cardiology recommend influenza vaccination as a secondary prevention intervention in patients with CAD and atherosclerotic vascular diseases [14, 15] and those with ST-segment elevation myocardial infarction (STEMI) [16] and unstable angina/non-STEMI [17] as well as a plan of care for patients with chronic heart failure [18]. Nonetheless, the evidence-based recommendations and benefits of influenza vaccination have been shown in CAD; the mechanisms of its benefit have not yet been defined, as well as some queries on the vaccine immunological response in patients with various clinical characteristics, such as impaired renal function or concurrent medications [19-22]. The study of prognostic indicators and patients' clinical characteristics may describe the benefits of influenza vaccine for cardiovascular outcomes. An annual influenza vaccination can prevent influenza virus infection and relieve the symptoms of acute infection. In fact, an annual influenza vaccination can prevent influenza infection and also decrease the results from acute infection, where it promotes inflammation and the progression of atherosclerosis and it serves as a trigger for acute myocardial infarction [23-29]. Consequently, the administration of influenza vaccine may reveal an influence on some prognostic indicators for cardiovascular outcomes, compared with patients not receiving the vaccination. Therefore, this study aimed to explore the effects of the influenza vaccine through the prognostic indicators for each cardiovascular outcome among ACS patients.

2. Patients and Methods

2.1. Data Sources and Data Collection

This observational study was based on a prospective, randomized open with blinded endpoint study from Phrommintikul et al. [9], which enrolled 439 patients who had been admitted due to ACS and were older than 50 years old. Patients were excluded if they had hemoglobin level lower than 10 g/dL, elevated serum creatinine (SCr) level more than 2.5 mg/dL, well-established liver disease, cancer or life expectancy less than one year, and contraindications to, or previous, influenza vaccination. All patients were given standard treatment by their primary cardiologist in the tertiary care hospital of Chiang Mai University.

2.2. Definition

The ACS patients were classified into three groups. These included the following: (1) patients with an acute ST-segment elevation myocardial infarction (STEMI) described as a chest pain lasting longer than 20 minutes with ST-segment elevation of electrocardiograph (EKG) in two consecutive leads or more, (2) patients with chest pain lasting longer than 20 minutes, with rising of cardiac troponin or CK-MB and without ST-segment elevation EKG, defined as non-ST-segment elevation myocardial infarction (NSTEMI), and (3) patients with chest pain at rest without rising of cardiac troponin or CK-MB, diagnosed as an unstable angina (UA), whereas NSTEMI and UA were defined as non-ST-segment elevation ACS (NSTE-ACS). The studied patients' characteristics included age, sex, concurrent comorbidities, that is, hypertension (HT); diabetes mellitus (DM); dyslipidemia; chronic obstructive pulmonary disease (COPD); smoking; prior myocardial infarction (MI); chronic kidney disease (CKD), SCr, type of ACS, revascularization procedure, left ventricular ejection fraction (LVEF), and medications. The main cardiovascular outcomes of interest were defined as (1) major adverse cardiovascular events (MACEs), a composite of all cardiovascular events, (2) all causes of mortality, (3) hospitalization due to acute coronary syndrome (ACS), (4) hospitalization due to heart failure (HF), and (5) composite outcomes of hospitalization (ACS, HF, or stroke). These outcomes were verified by cardiologists during the follow-up of 12 months. Survival status of patients lost to follow-up was determined by telephone.

2.3. Data Analysis

The patients' characteristics were compared among five types of adverse cardiovascular outcomes and each outcome-free group, using Fisher's exact test, where multiple imputations were manipulated for missing data management. Prognostic indicators for each cardiovascular outcome were stratified by influenza vaccine groups and analyzed as multivariable hazard ratio by the stratified Cox regression. The Z-test was performed to demonstrate significant discrimination of hazard ratio between influenza vaccination groups [30]. Multivariable Cox's regression was conducted to present the results, subsequently adjusted for independent prognostic indicators of each cardiovascular outcome. This study was approved by the Ethics Committee, Faculty of Medicine, Chiang Mai University.

3. Results

3.1. Patients' Characteristics

In this observational study, data of 439 ACS patients were collected. Half of the patients were older than 65 years old and 56.7% of the patients (249) were males (Table 1). HT was present among 265 (60.4%); DM, 134 (30.5%); dyslipidemia, 206 (46.9%); COPD, 13 (3.0%); and CKD, 20 (4.56%). Regarding the index ACS, STEMI and NSTE-ACS were present among 159 (36.2%) and 280 (63.8%) of the patients, respectively. The majority of STEMI patients (79.25%) received reperfusion therapy and more than a half of the NSTE-ACS patients (53.21%) received coronary revascularization. Aspirin, beta-blockers, and statin were received among 427 (97.3%), 325 (74.0%), and 293 (66.7%) patients, respectively.
Table 1

Patients' characteristics for MACEs and death.

CharacteristicsTotal (n = 439)Event-free (A) (n = 377)MACEs (n = 62) P valueSurvived (n = 421)Death (n = 18) P value
n % n % n % n % n %
Age (year)
 ≤6521949.919451.52540.30.13121651.3316.70.006
 >6522050.118348.53759.720548.71583.3

Male24956.721857.83150.00.27024357.7633.30.052
HT26560.422258.94369.40.12625259.91372.20.336
DM13430.511330.02133.80.55312730.2738.90.440
Dyslipidemia20646.916844.63861.30.01919746.8950.00.814
COPD133.0112.923.21.000133.100.01.000
Smoking4811.04511.934.80.1234811.400.00.241
Prior MI184.1154.034.80.729184.300.01.000
CKD204.6153.958.10.181204.800.01.000

SCr (mg/dL)
 ≤1.122150.319451.52743.60.27421250.4950.01.000
 >1.121849.718348.53556.520949.6950.0

Type of ACS
 NSTEMI & UA28063.824264.23861.30.67127264.6844.40.130
 STEMI15936.213535.82438.714935.41055.6

Reperfusion or revascularization
 No16437.414137.42337.11.00015837.3633.30.808
 Yes27562.623662.63962.926362.51266.7

LVEF (%)
 >4029968.126770.83251.60.00529068.9950.00.120
 ≤4014031.911029.23048.413131.1950.0

Medication
 Aspirin42797.336697.16198.41.00040997.218100.01.000
β-blocker32574.028174.54471.00.53631173.91477.81.000
 CCB7216.46316.7914.50.8536916.4316.71.000
 ACE-I/ARB25758.522960.72845.20.02625059.4738.90.093
 Statin29366.725266.84166.11.00028367.21055.60.315
 Influenza vaccination22150.320053.12133.90.00621551.1633.30.156

DM, diabetes mellitus; HT, hypertension; COPD, chronic obstructive pulmonary disease; MI, myocardial infarction; CKD, chronic kidney disease; SCr, serum creatinine; ACS, acute coronary syndrome; STEMI, ST-segment elevation myocardial infarction; NSTEMI, non-ST-elevation myocardial infarction; UA, unstable angina; LVEF, left ventricular ejection fraction; CCB, calcium channel blocker; ACE-I, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; MACEs, major adverse cardiovascular events; event-free (A), free events from MACEs.

3.2. Prognostic Indicators of Adverse Outcomes

The characteristics of ACS patients with and without MACEs were not significantly different, except for dyslipidemia, LVEF, receiving angiotensin-converting enzyme inhibitors (ACE-I) or angiotensin receptor blockers (ARB), and influenza vaccination (Table 1). Patients with MACEs had higher proportion of dyslipidemia (61.3% versus 44.6%, P = 0.019) but a lower proportion of receiving ACE-I/ARB (45.2% versus 60.7%, P = 0.026) and influenza vaccination (33.9% versus 53.1%, P = 0.006). The MACEs-free patients also had a great proportion of preserved LVEF (LVEF > 40%) (70.8% versus 51.6%, P = 0.005) (Table 1). Regarding the causes of death, patients who survived were younger (age 65 ± 9.17 versus 73.0 ± 9.29 years, P = 0.0014). The other clinical characteristics did not significantly differ between two groups (Table 1). When comparing between patients with composite outcomes of hospitalization due to ACS, HF, or stroke and those who were not hospitalized (Table 2), patients with these events had a higher proportion of dyslipidemia (63.3% versus 44.9%, P = 0.022) and impaired LVEF (LVEF < 40%) (49.0% versus 29.7%, P = 0.009). They also had low proportion of influenza vaccination (32.7% versus 52.6%, P = 0.010) (Table 2).
Table 2

Patients' characteristics of composite outcomes of hospitalization (ACS, HF, or stroke), hospitalization due to ACS, and hospitalization due to HF.

CharacteristicsEvent-free (B) (n = 390)Composite hospitalization (n = 49) P valueEvent-free (C) (n = 391)Hospitalization due to ACS (n = 34)Hospitalization due to HF (n = 14) P value
n % n % n % n % n %
Age (year)
 ≤6519650.32346.90.76219750.41750.0535.70.616
 >6519449.72653.119449.61750.0964.3

Male22357.22653.10.64722457.32058.8535.70.306
HT23159.23469.40.21523259.32367.71071.40.495
DM11629.71836.70.32611629.71132.4750.00.242
Dyslipidemia17544.93163.30.02217544.82058.81178.60.017
COPD112.824.10.646123.100.017.10.286
Smoking4511.536.10.3354511.538.800.00.491
Prior MI153.936.10.439153.812.9214.30.147
CKD153.9510.20.060153.812.9428.60.004

SCr (mg/dL)
 ≤1.120151.52040.80.17420251.71647.1321.40.077
 >1.118948.52959.218948.31852.91178.6

Type of ACS
 NSTEMI & UA24763.33337.40.63924863.42264.71071.40.907
 STEMI14336.71632.714336.61235.3428.6

Reperfusion or revascularization
 No14637.41836.71.00014637.3926.5964.30.054
 Yes24462.63163.324562.72573.5535.7

LVEF (%)
 >4027470.32551.00.00927470.12264.7321.40.001
 ≤4011629.72449.011730.01235.31178.6

Medication
 Aspirin37997.24898.01.00038097.23397.114100.01.000
β-blocker29174.63469.40.48929174.42573.5964.30.676
 CCB6516.7714.30.8386516.6514.7214.31.000
 ACE-I/ARB23460.02347.00.09123560.11750.0535.70.121
 Statin25966.43469.40.74926066.52470.6964.30.872
 Influenza vaccination20552.61632.70.01020652.71132.4428.60.020

DM, diabetes mellitus; HT, hypertension; COPD, chronic obstructive pulmonary disease; MI, myocardial infarction; CKD, chronic kidney disease; SCr, serum creatinine; HF, heart failure; ACS, acute coronary syndrome; STEMI, ST-segment elevation myocardial infarction; NSTEMI, non-ST-elevation myocardial infarction; UA, unstable angina; LVEF, left ventricular ejection fraction; CCB, calcium channel blocker; ACE-I, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; Composite hospitalization, composite hospitalization due to ACS, HF, or stroke; event-free (B), free events from composite hospitalization due to ACS, HF, or stroke; event-free (C), free events from hospitalization due to ACS or HF.

The comparison of three outcomes among those hospitalized due to ACS, HF, and event-free patients revealed significant differences in proportion of dyslipidemia (58.9%, 78.6%, and 44.8%, resp., P = 0.017), CKD (2.9%, 28.6%, and 3.8%, resp., P = 0.004), impaired LVEF (35.3%, 78.6%, and 29.9%, resp., P = 0.001), and influenza vaccination (32.35%, 28.57%, and 52.69%, resp., P = 0.020) (Table 2). Interestingly, patients hospitalized due to HF had a high proportion of dyslipidemia (78.6%, P = 0.017), presented CKD (28.6%, P = 0.004), and impaired LVEF (78.6%, P = 0.001) but revealed a lower proportion of receiving influenza vaccination (28.6%, P = 0.020). When stratified Cox's regression analysis by influenza vaccine group was performed for each cardiovascular outcome (Table 3), the significant protective indicator was receiving ACE-I/ARB, while impaired LVEF, age above 65 years, and CKD presented poor indicators in the nonvaccination group.
Table 3

Multivariable hazard ratios stratified by influenza vaccination for each cardiovascular event, which was analyzed by multivariable stratified Cox's regression analysis.

Prognostic indicatorsNo vaccinationInfluenza vaccination
HR (95% CI) P valueHR (95% CI) P value
MACEs
 LVEF (%)
  ≤402.07(1.12–3.82)0.0212.37(1.01–5.59)0.048
 Medication
  ACE-I/ARB0.44(0.23–0.83)0.0121.12(0.45–2.78)0.806
Death
 Age (year)
  >6510.78(1.39–83.62)0.0232.28(0.42–12.48)0.341
 Medication
  ACE-I/ARB0.26(0.07–0.94)0.0411.15(0.21–6.30)0.870
Composite hospitalization due to ACS, HF, or stroke
 LVEF (%)
  ≤402.25(1.14–4.45)0.0202.16(0.81–5.76)0.124
 Medication
  ACE-I/ARB0.48(0.24–0.99)0.0461.23(0.43–3.54)0.701
Hospitalization due to ACS
 No indicator was found
Hospitalization due to HF
 CKD 5.12(1.27–20.65)0.02224.01(1.38–417.20)0.029
 LVEF (%)
  ≤407.93(1.63–38.66)0.0108.37(0.72–97.72)0.090
 Medication
  Beta-blocker1.63(0.34–7.78)0.5420.05(0.003–0.76)0.037

MACEs, major adverse cardiovascular events; LVEF, left ventricular ejection fraction; ACE-I, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; ACS, acute coronary syndrome; HF, heart failure; CKD, chronic kidney disease.

The impaired LVEF variables were shown as poor prognostic indicators in both groups of patients with similar hazard ratios (Tables 3 and 4). Age above 65 years was indicated as a significant prognostic indicator for death in the nonvaccination group (HR = 10.78, 95% CI = 1.39–83.62, P = 0.023) but not in the vaccination group (HR = 2.28, 95% CI = 0.42–12.48, P = 0.341). However, the effect size of age did not significantly vary between vaccination groups (P = 0.252) (Table 4). Differently, the CKD variable was a promising poor prognostic indicator in both groups, (HR = 5.12, 95% CI = 1.27–20.65, P = 0.022) and (HR = 24.01, 95% CI = 1.34–417.20, P = 0.029). However, the effect size of CKD hazard ratio seemed to diverge with a wide range of confidence intervals; a significant difference was not demonstrated (P = 0.340) (Table 4).
Table 4

Discrimination of multivariable hazard ratios by the influenza vaccination for each cardiovascular event.

Prognostic indicatorsNo vaccinationInfluenza vaccination Z P value
HR (95% CI)HR (95% CI)
MACEs
 LVEF (%)
  ≤402.07(1.12–3.82)2.37(1.01–5.59)−0.260.797
 Medication
  ACE-I/ARB0.44(0.23–0.83)1.12(0.45–2.78)−1.650.098
Death
 Age (year)
  >6510.78(1.39–83.62)2.28(0.42–12.48)1.140.252
 Medication
  ACE-I/ARB0.26(0.07–0.94)1.15(0.21–6.30)−1.380.169
Composite hospitalization due to ACS, HF, or stroke
 LVEF (%)
  ≤402.25(1.14–4.45)2.16(0.81–5.76)0.070.948
 Medication
  ACE-I/ARB0.48(0.24–0.99)1.23(0.43–3.54)−1.430.152
Hospitalization due to ACS
 No indicator was found
Hospitalization due to HF
 CKD 5.12(1.27–20.65)24.01(1.38–417.20)−0.950.340
 LVEF (%)
  ≤407.93(1.63–38.66)8.37(0.72–97.72)−0.040.971
 Medication
  Beta-blocker1.63(0.34–7.78)0.05(0.003–0.76)2.180.030

MACEs, major adverse cardiovascular events; LVEF, left ventricular ejection fraction; ACE-I, angiotensin-converting enzyme inhibitor; ARB, angiotensin II receptor blocker; ACS, acute coronary syndrome; HF, heart failure; CKD, chronic kidney disease.

Receiving beta-blockers was shown as a nonprotective indicator as well as demonstrating no prognostic value in the nonvaccination group, but it was shown as a potential protective indicator in the vaccination group (HR = 0.05, 95% CI = 0.003–0.76, P = 0.037) (Table 3). Moreover, the comparison of hazard ratio between vaccination groups indicated a remarkable difference (P = 0.03) (Table 4). In summary, the influenza vaccination influenced the prognostic value of clinical predictors for each cardiovascular outcome when compared with nonvaccination group, except two predictors of impaired LVEF for MACEs (HR = 2.07, 95% CI = 1.12–3.82, P = 0.021 and HR = 2.37, 95% CI = 1.01–5.59, P = 0.048) and CKD for hospitalization due to HF (HR = 5.12, 95% CI = 1.27–20.65, P = 0.022 and HR = 24.01, 95% CI = 1.34–417.20, P = 0.029). However, no significant difference was observed of hazard ratios between influenza vaccination groups, but receiving beta-blockers revealed the differences (P = 0.030) (Table 4). Multivariable Cox's regression (Table 5) demonstrated that influenza vaccination and beta-blockers coadministration indicated a potential protective effect (HR = 0.05, 95% CI = 0.004–0.71, P = 0.027) after adjusting for sex, dyslipidemia, CKD, SCr, and LVEF, but both factors were independent prognostic indicators for hospitalization due to HF.
Table 5

Multivariable hazard ratios and 95% confidence intervals of influenza vaccination and beta-blocker for hospitalization due to HF.

Influenza vaccineBeta-blockerHR95% CI P value
NoNoReference
NoYes1.290.27–6.160.750
YesNo2.460.40–15.220.334
YesYes0.050.01–0.710.027

Note. All analyses were adjusted for gender, dyslipidemia, SCr, and LVEF, which are independent prognostic indicators for hospitalization due to HF.

The interaction of influenza vaccination among patients receiving beta-blockers was described by a significant reduction of the hazard ratio among patients who had vaccination. This protective interaction showed benefits of receiving influenza vaccination with beta-blocker for hospitalization due to HF among ACS patients.

4. Discussion

This post hoc study demonstrated that the significant prognostic indicators for cardiovascular events in patients with ACS were age, LVEF, CKD, and receiving ACE-I/ARB. Even though the hazard ratio of each individual prognostic factor may differ between the vaccination and nonvaccination groups, the difference was not significant, except for receiving beta-blockers. Receiving beta-blockers presented the prognostic indicator for the reduction of hospitalization due to HF when influenza vaccine was given. The evidence from seasonal patterns of cardiovascular deaths was similar to patterns of influenza circulation [29]. Clinical findings among patients with influenza presented systemic effects such as myalgia, high fever, and fatigue, as well as frequent myocardial involvement [29]. The influenza virus has extensive effects on the inflammatory and coagulation pathways, leading to destabilization of vulnerable atherosclerotic plaques and coronary occlusion, which are major causes of acute MI [29]. Moreover, host response to acute infections can facilitate ACS by affecting coronary arteries and atherosclerotic lesions, such as increased sympathetic activity [28]. The upregulated sympathetic nervous system shown in heart failure [18] may reduce the influenza vaccine response [31-33] or cause persistence decline of antibody titers [32]. The sympathetic nervous system will increase proinflammatory cytokines and exacerbate influenza infection, as shown in animal models [34]. In the lung of infected animals, the anti-influenza CD8+ T cell response could be limited by sympathetic nervous system [35], while cytotoxic T lymphocytes could effectively respond to different subtypes of influenza A virus with a specific antibody response [36]. Cytotoxic T cells were described as important factors for recovering from influenza infection in humans [36]. Human T and B lymphocytes express beta-2 adrenergic receptors, where the catecholamine effect via beta-2 adrenergic receptors on cytokine regulation decreased responses to vaccines [37]. In contrast, T cell responses were enhanced by the administration of beta-2 adrenergic antagonists [35]. The study in mice showed that acute stress reduced the number of NK cells in the intraparenchymal region of the lungs and this event could be reversed by the administration of beta-adrenergic antagonists [38]. Acute stress can be hypothesized as the cause of lung lymphocyte redistribution through beta-adrenergic stimulation by elevating catecholamine level [38]. Therefore, beta-blockers could reduce the inflammatory response and the degree of lung injury. Some animal models revealed survival benefits, particularly when beta-blockers were administered before the septic insult [39]. Beta-blockers are recommended as a secondary prevention for ACS patients recovering from acute MI and without contraindication [40]. ACS was indicated as an important cause of worsening or new-onset of HF and also a common factor precipitating acute decompensated HF [18]. Consequently, prescribing beta-blockers to chronic HF patients is recommended due to their protective results [18, 41]. The decrease in heart rate, contractility, and blood pressure due to beta-blockers could inhibit the effects of circulating catecholamines and oxygen demand [42]. Beta-blockers can reduce the sympathetic tone by inhibiting an increase in catecholamine circulation [43], as a cause of proinflammatory cytokines [34, 43] and disrupt the immune response [43]. Moreover, the administration of influenza vaccine can prevent influenza infection and also reduce acute infection effects by promoting inflammation, the progression of atherosclerosis, and triggering acute MI [9–15, 17]. In this study, solely administration of beta-blockers or influenza vaccination was not shown to be the protective evidence for hospitalization due to HF among ACS patients. However, the combination of the two showed very synergistic effect during a year of follow-up time.

4.1. Limitation

Incomplete data was a limitation of this study. Only 2 incomplete variables were found from 20 variables. The variables of SCr and LVEF had 6.83% and 54.67% of missing values, respectively. However, multiple imputations were conducted and imputed data were categorized for appropriate data management.

5. Conclusion

The study showed that influenza vaccination influenced the prognostic abilities of clinical predictors for cardiovascular outcomes when compared between patients who received vaccination and the nonvaccination group. However, two predictors of impaired LVEF for MACEs and CKD for hospitalization due to HF were not affected. Moreover, different prognostic ability between influenza vaccination groups was not significantly observed, but receiving beta-blockers was acknowledged. This study presented the strong modification effect of influenza vaccine among ACS patients who received beta-blockers to reduce hospitalization due to HF. This benefit of influenza vaccination should be noteworthily considered in clinical practice for ACS patients. However, further studies of influenza vaccine and beta-blocker synergy should be established in a larger population involving clinical trials. Although, this study disclosed a new benefit of influenza vaccine and beta-blockers coadministration in preventing HF hospitalization, a further study involving influenza vaccine among HF patients is strongly recommended.
  42 in total

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  2 in total

1.  Updated Cardiovascular Prevention Guideline of the Brazilian Society of Cardiology - 2019.

Authors:  Dalton Bertolim Précoma; Gláucia Maria Moraes de Oliveira; Antonio Felipe Simão; Oscar Pereira Dutra; Otávio Rizzi Coelho; Maria Cristina de Oliveira Izar; Rui Manuel Dos Santos Póvoa; Isabela de Carlos Back Giuliano; Aristóteles Comte de Alencar Filho; Carlos Alberto Machado; Carlos Scherr; Francisco Antonio Helfenstein Fonseca; Raul Dias Dos Santos Filho; Tales de Carvalho; Álvaro Avezum; Roberto Esporcatte; Bruno Ramos Nascimento; David de Pádua Brasil; Gabriel Porto Soares; Paolo Blanco Villela; Roberto Muniz Ferreira; Wolney de Andrade Martins; Andrei C Sposito; Bruno Halpern; José Francisco Kerr Saraiva; Luiz Sergio Fernandes Carvalho; Marcos Antônio Tambascia; Otávio Rizzi Coelho-Filho; Adriana Bertolami; Harry Correa Filho; Hermes Toros Xavier; José Rocha Faria-Neto; Marcelo Chiara Bertolami; Viviane Zorzanelli Rocha Giraldez; Andrea Araújo Brandão; Audes Diógenes de Magalhães Feitosa; Celso Amodeo; Dilma do Socorro Moraes de Souza; Eduardo Costa Duarte Barbosa; Marcus Vinícius Bolívar Malachias; Weimar Kunz Sebba Barroso de Souza; Fernando Augusto Alves da Costa; Ivan Romero Rivera; Lucia Campos Pellanda; Maria Alayde Mendonça da Silva; Aloyzio Cechella Achutti; André Ribeiro Langowiski; Carla Janice Baister Lantieri; Jaqueline Ribeiro Scholz; Silvia Maria Cury Ismael; José Carlos Aidar Ayoub; Luiz César Nazário Scala; Mario Fritsch Neves; Paulo Cesar Brandão Veiga Jardim; Sandra Cristina Pereira Costa Fuchs; Thiago de Souza Veiga Jardim; Emilio Hideyuki Moriguchi; Jamil Cherem Schneider; Marcelo Heitor Vieira Assad; Sergio Emanuel Kaiser; Ana Maria Lottenberg; Carlos Daniel Magnoni; Marcio Hiroshi Miname; Roberta Soares Lara; Artur Haddad Herdy; Cláudio Gil Soares de Araújo; Mauricio Milani; Miguel Morita Fernandes da Silva; Ricardo Stein; Fernando Antonio Lucchese; Fernando Nobre; Hermilo Borba Griz; Lucélia Batista Neves Cunha Magalhães; Mario Henrique Elesbão de Borba; Mauro Ricardo Nunes Pontes; Ricardo Mourilhe-Rocha
Journal:  Arq Bras Cardiol       Date:  2019-11-04       Impact factor: 2.000

Review 2.  The COVID-19 pandemic and physical activity.

Authors:  Jeffrey A Woods; Noah T Hutchinson; Scott K Powers; William O Roberts; Mari Carmen Gomez-Cabrera; Zsolt Radak; Istvan Berkes; Anita Boros; Istvan Boldogh; Christiaan Leeuwenburgh; Hélio José Coelho-Júnior; Emanuele Marzetti; Ying Cheng; Jiankang Liu; J Larry Durstine; Junzhi Sun; Li Li Ji
Journal:  Sports Med Health Sci       Date:  2020-05-30
  2 in total

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