Skip to main content

REVIEW article

Front. Pharmacol., 24 October 2022
Sec. Cardiovascular and Smooth Muscle Pharmacology
This article is part of the Research Topic Targeting Inflammation to Prevent Complications in Stroke View all 6 articles

Effects of sacubitril-valsartan on heart failure patients with mid-range ejection fractions: A systematic review and meta-analysis

Jianbin QinJianbin QinWeijian WangWeijian WangPing WeiPing WeiPing HuangPing HuangRuizhen LinRuizhen LinJinming Yue
Jinming Yue*
  • Department of Cardiology, Wuzhou Red Cross Hospital, Wuzhou, China

Aim: The effect of sacubitril-valsartan (ARNI) in heart failure (HF) patients with mid-range ejection fractions (HFmrEF) remains unclear. This study aimed to investigate the effects of ARNI in HFmrEF patients.

Methods: From inception to 15 February 2022, articles were searched via PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Whip, and Wanfang databases. Left ventricular functions, indicators related to HF, quality of life score, 6-Minute Walk Test, total effective rate, mortality, readmission rate, and adverse events were the outcomes. Relative risk (RR), weighted mean difference (WMD), and 95% confidence interval (CI) were used to evaluate the outcomes. The heterogeneity test was conducted for each indicator and measured by I2 statistics. Subgroup analysis was performed regarding the type of study and duration of treatment.

Results: Sixteen studies involving 1,937 patients were included in this study. Our results showed ARNI was likely to improve left ventricular function by increasing the left ventricular ejection fraction (LVEF) (WMD: 2.36, 95%CI: 1.09–3.62), stroke volume (WMD: 16.800, 95%CI: 11.385–22.215), and left ventricular short-axis shortening rate (WMD: 2.05, 95%CI: 0.25–3.86), decreasing left ventricular end-diastolic dimension (WMD: −2.48, 95%CI: −3.83 to −1.13), left atrial diameter (WMD: −2.23, 95%CI: −2.83 to −1.63), C-reactive protein level (WMD: −1.40, 95%CI: −2.62 to −0.18), and N-terminal-pro B-type natriuretic peptide level (WMD: −494.92, 95%CI: −641.34 to −348.50). ARNI has a higher total effective rate (RR: 1.15, 95%CI: 1.08–1.21), Kansas City cardiomyopathy questionnaire (WMD: 4.13, 95%CI: 3.46–4.81), and 6-Minute Walk Test (WMD: 51.35, 95%CI: 26.99–75.71) compared with angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB). In addition, ARNI decreased the readmission rate (RR: 0.54, 95%CI: 0.43–0.68) (all p < 0.05). Nevertheless, there were no significant differences in the adverse outcomes.

Conclusion: This meta-analysis suggests ARNI may be an effective strategy with which to improve the left ventricular function, and quality of life, and reduce the readmission rate in HFmrEF patients. However, long-term clinical studies with large samples are still needed to further explore the efficacy and safety of ARNI compared with ACEI or ARB in the HFmrEF population.

Introduction

Heart failure (HF) is a clinical syndrome that results from any structural or functional impairment of ventricular filling or ejection of blood (Bozkurt et al., 2021). HF with mid-range ejection fraction (HFmrEF) with left ventricular ejection fraction (LVEF) ranging from 41 to 49% is a category of HF (McDonagh et al., 2022). HFmrEF is a hemodynamic state in which the heart cannot meet the circulatory demands of the body, or at the expense of increased left ventricular filling pressure (Ye et al., 2022). The incidence of HFmrEF accounts for 10–20% of the population with HF (Ponikowski et al., 2016a; Srivastava et al., 2020). HFmrEF is associated with notable morbidity and mortality (Rickenbacher et al., 2017). Consequently, it is essential to find therapies for HFmrEF patients.

Substantial evidence has indicated that angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) could improve the partially attenuate left ventricular (LV) dilation and remodeling in HF, however, the morbidity and mortality of HF patients remain unacceptably high (Asgar et al., 2015; Zhang et al., 2020). In recent years, angiotensin receptor neprilysin inhibitor (ARNI) also named sacubitril-valsartan demonstrated to reduce mortality and morbidity of HF and is now a new recommended treatment option for symptomatic reduced ejection fraction (HFrEF) according to the recommendations from the American College of Cardiology (ACC), and the European Society of Cardiology (ESC) (Maddox et al., 2021; McDonagh et al., 2022). ARNI mainly focuses on inhibiting the activity of neprilysin to decrease the degradation of natriuretic peptides, stimulate vasodilation and diuresis, and reduce myocardial fibrosis and hypertrophy, which has shown clinical benefits in HF with HFrEF (Pascual-Figal et al., 2021). Nevertheless, there are currently limited studies comparing the effects of ARNI and traditional ACEI/ARB drugs on patients with HFmrEF. There are differences in LVEF, epidemiological characteristics, and pathogenesis of patients with different types of HF, so it is necessary to seek optimal treatment for HFmrEF patients (Xin et al., 2019). Furthermore, the efficacy and safety of ARNI in patients with HF are still controversial (Zhang et al., 2020). Hence, a meta-analysis to assess and compare the ARNI and traditional ACEI/ARB drugs on HFmrEF patients is needed.

Herein, we performed a meta-analysis to evaluate the potential clinical benefits and safety of ARNI in HFmrEF patients in which ARNI was compared with ACEI/ARB drugs.

Methods

This meta-analysis was performed based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines without registry.

Data sources and search strategy

Databases including PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Whip, and Wanfang were searched without any restrictions from inception to 15 February 2022. The search strategy from the PubMed consisted of the following keywords: “Sacubitril Valsartan’’ OR “sacubitril and valsartan sodium hydrate drug combination’’ OR “sacubitril valsartan sodium hydrate’’ OR “sacubitril-valsartan sodium hydrate drug combination’’ OR “trisodium (3-(1-biphenyl-4-ylmethyl-3-ethoxycarbonyl-1-butylcarbamoyl)propionate-3′-methyl-2′-(pentanoyl(2′-(tetrazol-5-ylate)biphenyl-4′-ylmethyl)amino)butyrate) hemipentahydrate’’ OR “sacubitril and valsartan drug combination’’ OR “sacubitril valsartan drug combination’’ OR “sacubitril-valsartan OR 3-(1-biphenyl-4-ylmethyl-3-ethoxycarbonyl-1-butylcarbamoyl) propionate-3′-methyl-2′-(pentanoyl(2′-(tetrazol-5-ylate)biphenyl-4′-ylmethyl)amino) butyrate’’ OR “sacubitril and valsartan sodium anhydrous drug combination’’ OR “sacubitril valsartan sodium anhydrous’’ OR “sacubitril-valsartan sodium anhydrous drug combination’’ OR “LCZ 696’’ OR “LCZ696’’ OR “LCZ-696’’ OR “Entresto’’ AND “Heart failure’’ OR Cardiac Failure’’ OR “Heart Decompensation’’ OR “Decompensation, Heart’’ OR “Heart Failure, Right-Sided’’ OR “Heart Failure, Right Sided’’ OR “Right-Sided Heart Failure’’ OR “Right Sided Heart Failure’’ OR “Myocardial Failure’’ OR “Congestive Heart Failure’’ OR “Heart Failure’’, Congestive OR “Heart Failure, Left-Sided’’ OR “Heart Failure, Left Sided’’ OR “Left-Sided Heart Failure’’ OR “Left Sided Heart Failure’’ OR “Heart failure with mid-range ejection fraction’’ OR “HFmrEF’’ OR “HFmEF’’.

Selection criteria

Inclusion criteria based on the PICOS principles were: 1) Populations: Patients diagnosed with HFmrEF; 2) intervention: ARNI as the observation group; 3) comparators: ACEI or ARB as the control group; 4) outcomes: left ventricular function, indicators related to HF, quality of life score, 6-Minute Walk Test (6-MWT), total effective rate, mortality, readmission rate, and adverse events; 5) study design: Randomized controlled trials (RCTs) or cohort studies 6) studies published in English and Chinese.

The exclusion criteria were as follows: 1) animal experiments; 2) case reports, meta-analyses, reviews, and letters.

Data extraction and quality assessment

Two investigators (Jianbin Qin and Weijian Wang) initially screened studies based on abstracts and reviewed the full text according to eligibility criteria. The final qualification for inclusion depended on the agreement between the two reviewers. Any differences should be resolved through consultation with the third reviewer (Ping Wei). The following data were extracted from each included study: basic characteristics of studies (authors, publication year, country, study design), characteristics of patients (sample size, gender, age), ARNI and ACEI/ARB treatments (dosage and duration of treatment), outcomes, and quality score of include studies.

For cohort studies, the quality of the literature was evaluated using the modified Newcastle-Ottawa criteria scale (NOS) (Stang, 2010). The total score of the scale was 10, with <5 as low quality and ≥5 as high quality. RCT was evaluated by the modified Jadad rating scale, in which 1 to 3 and 4 to 7 were considered as low and high quality, respectively (total scores: 7) (Jadad et al., 1996).

Variables and outcomes assessment

According to ESC guidelines, the diagnostic criteria for HFmrEF in this study was a LVEF of 40–49% (Ponikowski et al., 2016b).

The primary outcomes were left ventricular functions including left ventricular ejection fraction (LVEF), left ventricular end diastolic dimension (LVEDD), left ventricular end-systolic diameter (LVESD), diastolic ventricular septal thickness (DVST), left atrial diameter (LAD), stroke volume (SV), left ventricular short axis shortening rate (FS), C-reactive protein (CRP) level. The second outcomes were 1) indicators related to HF including N-terminal-pro brain natriuretic peptide (NT-proBNP), soluble suppression of tumorigenesis-2 (sST2), growth differentiation factor-15 (GDF-15); 2) quality of life score including Minnesota heart failure scale score (MHFQL), and The Kansas city cardiomyopathy Questionnaire (KCCQ); 3) 6-MWT; 4) total effective rate; 5) mortality including 1-year mortality, and cardiac death; 6) readmission rate; 7) adverse events including HF worsen, malignant arrhythmia, renal function deterioration, hyperkalemia, hypotension, angioedema, serum creatinine (SCr) level. LVEF was calculated as end-diastolic minus end-systolic volume divided by end-diastolic volume (Panza et al., 2019). The normal range of LVEDD was 35–56 mm, LVESD was 20–40 mm, and LAD was 27–40 mm (Yang et al., 2018). Quality of life was assessed by the MHFQL and KCCQ. MHFQ is a 21-item disease specific instrument with scores varying from 0 to 5 and a summary score varying from 0 to 105, the highest score representing the worst health-related quality of life (Napier et al., 2018). The KCCQ was a 23-item, self-administered questionnaire that quantifies physical function, symptoms, social function, self-efficacy, and quality of life for patients with HF, The higher the score, the better the quality of life (Green et al., 2000). The total effective rate was assessed in 3 outcomes: 1) significantly effective: after treatment, the symptoms of HF were significantly improved, the LVEF was significantly increased, and the cardiac function grade was decreased to >2; 2) effective: after treatment, the symptoms of HF were relieved, and LVEF was reduced, and the cardiac function grade has decreased by >1; 3) no curative effect: after treatment, the symptoms of HF and LVEF did not improve or even worsened (Xiangjie Liu, 2021). Readmission rate referred to the ratio of hospital readmission due to HF to follow-up. Hypotension was defined as blood pressure < 90/60 mm Hg (McMurray et al., 2014). Deterioration of renal function was defined as a relative increase of serum creatinine ≥25% or an increase of serum creatinine ≥0.3 mg/dl (1 mg/dl = 88.4 μmol/L) from baseline (Bhatt et al., 2018). Hyperkalemia referred to blood clear potassium > 5 mmol/L during the follow-up period (Akinlade et al., 2014). The angioedema was angioneurotic edema, also known as giant urticaria, which involves deep layers of skin, including subcutaneous tissues, as well as airway mucosa, and is manifested as localized non-pitting edema occurring in local tissues (Zuberbier et al., 2018).

Statistical analysis

Relative risk (RR) was used as an effect indicator for categorical data. Continuous data were analyzed by calculating weighted mean difference (WMD), and the effect size was expressed by 95% confidence intervals (CIs). Heterogeneity of effects across trials was evaluated by I2 tests for heterogeneity. When the heterogeneity statistic I2 ≥ 50%, random-effects model analysis was performed, otherwise, fixed-effects model analysis was applied. p < 0.05 was considered statistically significant. When the difference was statistically significant and I2 ≥ 50%, subgroup analysis was performed regarding the type of study and duration of treatment. Sensitivity analysis was performed for all outcomes. Begg’s test was examined to evaluate the potential for publication bias. When publication bias occurred, the “cut-and-fill method” was adopted to adjust publication bias. Software Stata 15.1 (Stata Corporation, College Station, TX, United States) was used for statistical analysis.

Results

Literature search and characteristics of studies

A total of 5,408 studies were identified in the initial literature search. By removing duplicates, 3,287 articles were retrieved. After screening for titles and abstracts, 34 articles were left. Finally, 16 studies (Wang, 2019; Cunfang Chen et al., 2020; He Wen et al., 2020; Pengfei Ma, 2020; Rong Liu et al., 2020; Dongruil Xu and Liu, 2021; Man Gao et al., 2021, Meixian Chen et al., 2021; Mi, 2021; Wu Yi et al., 2021; Xiangjie Liu, 2021; Xinxin Guo, 2021; Yongyue Zhou, 2021; Xiang Li, 2021; Ye et al., 2022; Lr Liana Tumasyan et al., 2019) were included in this study, involving 6 cohort studies and 10 RCTs. A total of 1,937 patients participated in the study, including 913 in the experimental group and 1,024 in the control group. There were 3 low-quality articles and 13 high-quality articles included. The flow chart of study selection is shown in Figure 1. The basic characteristics of included studies are presented in Table 1. The data of each outcome before and after treatment between the observation group and control group are presented in Table 2.

FIGURE 1
www.frontiersin.org

FIGURE 1. Flow chart of study selection and patient’s collection.

TABLE 1
www.frontiersin.org

TABLE 1. Basic characteristics of included studies.

TABLE 2
www.frontiersin.org

TABLE 2. Left ventricular function outcomes before and after treatment between sacubitril-valsartan and ACEI/ARB group.

Left ventricular function

LVEF (%)

A total of 14 studies were included to evaluate the effect of ARNI on LVEF. The heterogeneity test results showed I2 = 95.6%, therefore, the random effect model was used. The result demonstrated that LVEF levels were significantly improved in patients with HFmrEF in the ARNI group (WMD: 2.36, 95%CI: 1.09 to 3.63, p < 0.001) (Table 3; Figure 2A). Subgroup analysis based on study type showed that LVEF levels were significantly higher in patients with HFmrEF in the ARNI group compared with ACEI or ARB group in the RCT study (I2 = 95.3%, WMD: 3.58, 95%CI: 2.22 to 4.93, p < 0.001) (Table 3; Figure 2B). However, in cohort studies, there was no difference in LVEF levels between the ARNI group and the ACEI or ARB group (WMD: −0.18, 95%CI: −3.37 to 3.00, p = 0.91). According to the duration of treatment subgroup analysis, there was no difference in LVEF between the two groups at 1 and 3 months of treatment (p > 0.05). At 6 and 12 months of treatment, the LVEF level of the ARNI group was higher than that of the control group, with the WMD being 4.53 (95%CI: 2.39 to 6.66, p < 0.001) in 6 months, and being 5.31 (95%CI: 2.22 to 8.39, p = 0.001) in 12 months, respectively (Table 3; Figure 2C).

TABLE 3
www.frontiersin.org

TABLE 3. Efficacy and safety of sacubitril-valsartan treatment in HFmrEF patients.

FIGURE 2
www.frontiersin.org

FIGURE 2. Forest plot of LVEF between sacubitril-valsartan and ACEI or ARB; (A) overall; (B) subgroup analysis of study type; (C) duration of treatment.

LVEDD (mm)

The LVEDD between the ARNI group and ACEI or ARB group was assessed in 9 studies. The random effect model results suggested that LVEDD in ARNI group was lower than that in the control group after treatment (WMD: −2.48, 95%CI: −3.83 to −1.13, p < 0.001) (Table 3; Figure 3A). Subgroup results based on RCTs also showed a similar result (I2 = 79.3%, WMD: −3.45, 95%CI: −5.11 to −1.80, p < 0.001) (Table 3; Figure 3B). In term of the subgroup analysis of duration of treatment, there was no difference in LVEDD between the two groups after 1 month of treatment (p > 0.05). At 3 (WMD: −2.90, 95%CI: −4.58 to −1.22, p = 0.001), 6 (WMD: −6.34, 95%CI: −8.88 to −3.81, p < 0.001) and 12 months of treatment (WMD:−2.37, 95%CI: −3.54 to −1.20, p < 0.001), LVEDD in the ARNI group was lower than that in the control group (Table 3; Figure 3C).

FIGURE 3
www.frontiersin.org

FIGURE 3. Forest plot of LVEDD between sacubitril-valsartan and ACEI or ARB; (A) overall; (B) subgroup analysis of study type; (C) duration of treatment.

LVESD (mm)

A total of two studies were included to evaluate the LVESD after treatment between ARNI and ACEI or ARB groups. The fixed-effect model indicated no statistically significant difference in LVESD between ARNI and ACEI or ARB treatment (WMD: −0.19, 95%CI: −2.14 to 1.77, p = 0.85) (Table 3).

DVST (mm)

A total of 3 studies assessed DVST after treatment. The random-effect model indicated ARNI was not superior to ACEI or ARB treatment in DVST (I2 = 99%, WMD: −2.03, 95%CI: −4.39 to 0.33, p = 0.091). However, according to the study type analysis, DVST was lower in the ARNI group than ACEI or ARB group. (WMD: −0.50, 95%CI: −0.94 to −0.06, p = 0.024) (Table 3).

LAD (mm)

Five studies investigate LAD between ARNI and ACEI or ARB treatment. ARNI showed a greater decrease in LAD (I2 = 21.8%, WMD: −2.23, 95%CI: −2.83 to −1.63, p < 0.001) (Table 3; Figure 4).

FIGURE 4
www.frontiersin.org

FIGURE 4. Forest plot of LAD between sacubitril-valsartan and ACEI or ARB.

SV (ml)

Meixian Chen et al. (2021) studied the effect of ARNI vs. candesartan on stroke output of patients, and the results showed that SV in the experimental group was higher than that in the control group (WMD: 16.80, 95%CI: 11.39 to 22.22, p < 0.001).

FS (%)

Two articles were included to investigate FS, and the difference in heterogeneity test results showed I2 = 95.9%, so the random effect model was used for analysis. The result demonstrated that FS after ARNI treatment was higher than ACEI or ARB treatment (WMD: 2.05, 95%CI: 0.25 to 3.86, p = 0.025) (Table 3; Figure 5).

FIGURE 5
www.frontiersin.org

FIGURE 5. Forest plot of FS between sacubitril-valsartan and ACEI or ARB.

CRP (μg/ml)

A study Dongruil Xu and Liu (2021) by Xu et al. investigated the effect of ARNI VS enalapril on CRP in HFmrEF patients. The results indicated that CRP in the ARNI group was lower than that in the control group (WMD: −1.40, 95%CI: −2.62 to −0.18, p = 0.024).

Indicators related to HF

NT-proBNP (ng/L)

Ten studies were used to investigate the NT-proBNP level after treatment. A random effect model was used for analysis. ARNI could significantly reduce patients’ NT-proBNP (WMD: −494.92, 95%CI: −641.34 to −348.50, p < 0.001) (Table 3 Figure 6A). Based on the subgroup analysis of study type, whether in RCT study (I2 = 93.3%, WMD: −623.33, 95%CI: −812.19 to −434.47, p < 0.001) or cohort study (I2 = 0.0%, WMD: −239.93, 95%CI: −244.47, −235.40, p < 0.001), patients treated by ARNI had lower NT-proBNP (Table 3; Figure 6B). According to the subgroup analysis of the duration of treatment, there was no statistical difference in NT-proBNP between the two groups (p > 0.05) after 1 month of treatment. At 3 (WMD: −467.60, 95%CI: −664.02 to −271.17, p < 0.001), 6 (WMD: −774.37, 95%CI: −961.72 to −587.03, p < 0.001) and 12 months (WMD: −226.31, 95%CI: −369.67 to −82.95, p = 0.002) of treatment, nT-proBNP in the ARNI group was lower than that in the control group (Table 3; Figure 6C).

FIGURE 6
www.frontiersin.org

FIGURE 6. Forest plot of NT-proBNP between sacubitril-valsartan and ACEI or ARB; (A) overall; (B) subgroup analysis of study type; (C) duration of treatment.

sST2 (pg/ml)

Two studies assessed the sST2 after treatment between ARNI and ACEI or ARB groups. The random effect model analysis showed that sST2 in the ARNI group was lower than that in ACEI or ARB group (WMD: −7.40, 95%CI: −14.35 to −0.44, p = 0.037) (Table 3; Figure 7).

FIGURE 7
www.frontiersin.org

FIGURE 7. Forest plot of sST2 between sacubitril-valsartan and ACEI or ARB.

GDF-15 (pg/ml)

He Wen et al. (2020) studied the effect of ARNI vs valsartan on the growth and transformation factor of GDF-15 in HFmrEF patients. The results showed no statistical difference between the two groups of GDF-15 (WMD: −66.00, 95%CI: −912.55 to 780.55, p = 0.879).

Quality of life score

MHFQL

Three studies used MHFQL to evaluate the effects of ARNI and ACEI or ARB on quality of life. Random effects model analysis showed no difference in MHFQL between the two groups (WMD: −10.13, 95%CI: −20.61 to 0.34, p = 0.058) (Table 3).

KCCQ

A total of 1 study containing 3 groups of data were included to assess quality of life through KCCQ. A higher quality of life was found in HFmrEF patients using ARNI (WMD: 4.13, 95%CI: 3.46 to 4.81, p < 0.001) (Table 3).

6-MWT (m)

Three articles were included to assess 6-MWT. The fixed-effect model results showed that the treatment of ARNI significantly increased 6-MWT in HF patients with HFmrEF (I2 = 5.1%, WMD: 51.35, 95%CI: 26.99 to 75.71, p < 0.001) (Table 3).

Total effective rate

Total effective rate was evaluated in 6 studies, and the heterogeneity test results indicated I2 = 0.0%, so fixed-effect model was used. The total effective rate of ARNI was higher than that of ACEI or ARB (RR: 1.15, 95%CI: 1.08 to 1.21, p < 0.001) (Table 3).

Mortality

1-year mortality

The 1-year mortality was assessed in 3 studies. We use the fixed-effect model to combine analysis, and the results showed that there was no difference in 1-year mortality between the ARNI and ACEI or ARB treatments groups (RR: 0.69, 95%CI: 0.38 to 1.27, p = 0.230), with the 1-year mortality rate being 0.09 in the ARNI group and 0.18 in the ACEI or ARB group (Tables 2, 3).

Cardiac death

Four studies evaluated cardiac death after the ARNI and ACEI or ARB treatments. The fixed-effect model results showed the ARNI was no better than ACEI or ARB in decreasing cardiac death (RR: 0.62, 95%CI: 0.26 to 1.46, p = 0.272). The incidence of cardiac death was 0.04 after the ARNI treatment and 0.06 in the ACEI or ARB treatment (Table 3).

Readmission rate

A total of 9 articles examined the effects of ARNI and ACEI or ARB on readmission rates. Our combined results indicated that the use of ARNI was associated with a greater reduction in readmission rates than the ACEI or ARB (RR: 0.54, 95%CI: 0.43 to 0.68, p < 0.001) (Table 3; Figure 8).

FIGURE 8
www.frontiersin.org

FIGURE 8. Forest plot of readmission rate between sacubitril-valsartan and ACEI or ARB.

Adverse events

Worsening HF and malignant arrhythmia

Xiangjie Liu (2021) evaluated the effects of ARNI on cardiac function and short-term prognosis in HFmrEF patients and found that the incidence of worsening HF and malignant arrhythmia in ARNI was not statistically significant compared with enalapril maleate tablets in the control group.

Hyperkalemia

A study by Meixian Chen et al. (2021) found that the incidence of hyperkalemia in ARNI and the control group was not statistically significant.

Angioedema

A clinical study (Xiang Li, 2021) evaluating the efficacy and safety of ARNI in the treatment of patients with HFmrEF has reported that the incidence of angioedema in ARNI was not statistically significant compared with the control group.

Renal function deterioration

Four studies evaluated renal function deterioration. The result demonstrated that the incidence of renal function deterioration between ARNI treatment and ACEI or ARB treatment was not significantly different (RR: 0.57, 95%CI: 0.26 to 1.23, p = 0.151) (Table 3).

Hypotension

The hypotension was assessed in 2 articles. Our result indicated no difference between ARNI treatment and ACEI or ARB treatment in hypotension (RR: 0.71, 95%CI: 0.36 to 1.39, p = 0.31) (Table 3).

SCr (μmol/L)

SCr was assessed before and after treatment in two studies, and the results of the random-effect model showed no difference in SCr between the ARNI and ACEI or ARB groups after treatment (I2 = 92.4%, WMD: −0.62, 95%CI: −21.05 to 19.81, p = 0.953) (Table 3).

Sensitivity analysis and publication bias

Sensitivity analysis was performed through sequentially excluded individual studies to assess the stability of the results. The sensitivity analysis result demonstrated that our findings are trustworthy. Begg’s test was used to evaluate the publication bias for outcomes with ≥9 articles. According to the results, LVEF (Z = 0.74, p = 0.460), LVEDD (Z = 0.86, p = 0.392), NT-proBNP (Z = 1.44, p = 0.149), readmission rate (Z = 0.52, p = 0.602) did not have publication bias.

Discussion

Unlike HFrEF patients, the treatment for HFmrEF patients was still symptom-based and empiric, without definitive strategies for this entity (Nie et al., 2021). Despite previous studies finding that ACEI and ARB might improve the symptoms and functional capacity of the non-HFrEF patient, they did not reduce morbidity and mortality (Solomon et al., 2012). This meta-analysis evaluating the effects of ARNI on HFmrEF patients compared with ACEI/ARB drugs demonstrated that compared with ACEI or ARB, ARNI was likely to improve left ventricular function by increasing the LVEF, SV, and FS, decreasing LVEDD, LAD, CRP, AND NT-proBNP. The ARNI had a higher total effective rate and KCCQ and 6-MWT. In addition, ARNI decreased the readmission rate.

ARNI, which consists of the neprilysin inhibitor sacubitril (AHU377) and the ARB valsartan (Tillman et al., 2019), is the first drug indicated to be superior to enalapril in reducing mortality for patients with HF and shows the potential to improve the left ventricular function of patients with HF (Solomon et al., 2016). In this study, compared with ACEI or ARB, ARNI could significantly increase the LVEF and FS, with a decreasing NT-proBNP. LVEF and FS reflect left ventricular systolic function, while NT-proBNP can reflect the ventricular volume and ventricular wall tension, both of which can evaluate the severity of HF (Newton et al., 2009). The increase of NT-proBNP and the decrease of LVEF and FS could reflect the increase in adverse events among patients with HF (Vaskova et al., 2020). A study (Xiang Li, 2021) by Li et al. showed that with the prolongation of treatment time, the NT-proBNP of the two groups showed a gradual downward trend, while the LVEF and FS showed an upward trend, however, the effect of the ARNI group was more obvious. The reduction in NT-ProBNP may indirectly reflect that ARNI could rapidly decrease the left ventricular pressure and volume overloads and improve the left ventricular function in HFmrEF patients compared with ACEI or ARB (Nie et al., 2021). sST-2 is produced by cardiomyocytes and fibroblasts when they are in a state of stress or injury and can be derived from large blood vessels and myocardial microvascular endothelial cells (Pascual-Figal and Januzzi, 2015). sST-2 can early predict myocardial fibrosis and ventricular remodeling and is an independent predictor of the prognosis of HF (Gaggin et al., 2014). The decreased degree of sST-2 in the ARNI group was more obvious than that in the control group after treatment, indicating that ARNI had obvious advantages in reducing the severity of HFmrEF (Dongruil Xu and Liu, 2021). ARNI has the dual effect of inhibiting enkephalinase and ARB (Wachter et al., 2020). On the one hand, ARNI can inhibit enkephalinase and increase peptides (such as natriuretic peptides) degraded by enkephalinase level, play the role of vasodilator, diuresis, and natriuresis, increase the cardiovascular protective effect of natriuretic peptide, inhibit myocardial hypertrophy and fibrosis, reduce cardiac load, and finally improve cardiac function (Gu et al., 2010); on the other hand, ARNI can improve hemodynamics, reduce aldosterone levels, and inhibit ventricular remodeling by inhibiting the renin-angiotensin-aldosterone system (RAAS) (Burke et al., 2019). The two mechanisms of action are complementary and overlapping and play the role of improving the left ventricular function (Albert et al., 2019).

From our study, there was no statistical difference in the incidence of adverse outcomes between the ARNI group and the ACEI/ARB group. Fröb et al. focused on the efficacy and safety of ARNI in an outpatient setting and found that ARNI improved LVEF, NT-probNP levels, and hospitalization rates, mostly without associated side effects (Fröb et al., 2022). Although ARNI shows a potential benefit to improve the left ventricular function of patients with HF, treatment with ARNI has also been reported to be associated with a higher rate of symptomatic hypotension (Zhang et al., 2020). Even though we did not find an increase in hypotension with ARNI, the safety of ARNI still needs more RCTs to be evaluated. The mortality of HFmrEF patients is another matter of concern. Hobbs et al. (2007) showed that the 5-year mortality rate of HFmrEF patients was as high as 26%. Although our findings showed that there was no difference in reducing mortality between ARNI and traditional anti-HF drugs, the 1-year mortality rate was significantly lower with ARNI than with ACEI/ARB. In a double-blind trial, ARNI was effective in reducing cardiovascular mortality in patients with HFrEF (McMurray et al., 2014). In conclusion, compared with ACEI/ARB drugs, ARNI is not worse in terms of safety in HFmrEF patients.

Quality of life is another key criterion to assess the treatment effect on HF patients. A previous study suggested that the proportion of patients with an improvement of 5 points in the KCCQ score was higher in the ARNI group (Solomon et al., 2019), which is consistent with our findings. The 6 MWT, a method to detect functional compensatory ability, is widely used in the clinical evaluation of cardiopulmonary diseases before and after therapeutic intervention (Lin et al., 2021). Our study demonstrated that the ARNI had a higher 6-MWT compared with ACEI/ARB. A study assessing the early effects of ARNI on exercise tolerance in patients with HFmHF found that ARNI improved exercise tolerance, peak VO₂, and ventilatory efficiency at 6.2 months of follow-up (Vitale et al., 2019). Giallauria et al. found that ARNI therapy improves autonomic function, functional capacity, and ventilation (Giallauria et al., 2020). In clinical practice, ARNI can be considered a drug for HFmrEF patients, however, further studies are needed to better elucidate the underlying mechanisms of this functional improvement. Despite the efficacy and safety of ARNI in the treatment of patients with HF, a study (Oh et al., 2022) by Oh et al. dementated that earlier use of ARNI was related to better clinical outcomes and earlier left ventricular reverse remodeling; remodeling of left atrial was less prominent in the later use group implying delayed response in diastolic function. The timing of initiation of ARNI therapy in patients with HF needs further investigation.

The use of ARNI in cardiac devices treated patients has also been investigated. The study by Sardu et al. (2022) evaluating the effects of ARNI in cardiac resynchronization therapy with defibrillator (CRTd) non-responders found that at 1 year of follow-up, ARNI-users had a higher increase of LVE Fand 6 MWT along with a more significant reduction of left ventricular end-systolic volume (LVESv) compared to non-ARNI users. This evidence implied that ARNI-based therapies increase the probability of anti-remodeling effects of CRTd. In addition, the study by Sardu et al. (2018) found that ST2 protein may be used as valid monitoring biomarker, and as a predictive biomarker in failing heart internal cardioverter defibrillator (ICD) patients affected by metabolic syndrome. More studies are needed to explore the effect of ARNI on the use of cardiac devices in patients with HFmHF.

Financial status may be particularly important given the high cost of the newer therapy ARNI approach; the high prevalence of geriatric diseases in elderly patients with HF, caregiver support may be particularly important in an era of the increasing complexity of pharmacologic regimens (Sumarsono et al., 2020). In addition, the elderly HF population is highly heterogeneous, with different pathophysiological mechanisms, the frequent presence of other chronic diseases, and functional and cognitive impairments that can significantly affect the utility and value of diagnostic research and therapeutic interventions (Francis et al., 2014; Gorodeski et al., 2018). However, most of the included studies were lacking in information on patients’ backgrounds, future studies still need to examine the use of ARNI in old patients with HFmrEF.

There are several limitations to this meta-analysis. First, the results should be interpreted with caution given the limited number of included RCTs, and the small sample size. Second, due to the limitation of the included literature, we could not analyze the patients with a history of chronic diseases and drug history, which might have produced confounding bias for the evaluation. Third, in order to have a better understanding of the long-term benefit and potential side effects of ARNI on HFmrEF patients, longer duration studies are needed. Future RCTs with larger sample sizes and longer-duration are needed to confirm our findings.

Conclusion

This study evaluated the effects of ARNI on HFmrEF patients compared with ACEI/ARB drugs, and found that ARNI may be an effective and safe strategy with which to improve the left ventricular function and quality of life, reduce readmission rate in HFmEF. In the future, more well-designed trials are needed to confirm these findings and investigate whether ARNI has a clear benefit in patients with HFmrEF.

Author contributions

JQ and JY designed the study. JQ wrote the manuscript. WW, PW, PH, and RL collected, analyzed and interpreted the data. JY critically reviewed, edited and approved the manuscript. All authors read and approved the final manuscript.

Funding

This study was supported by Scientific Research Project of Guangxi Health Commission (No. 20211971).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Akinlade, A.T., Ogbera, A.O., Fasanmade, O.A., and Olamoyegun, M.A. (2014). Serum C-peptide assay of patients with hyperglycemic emergencies at the Lagos State University Teaching Hospital (LASUTH), Ikeja. Int. Arch. Med. 7, 50. doi:10.1186/1755-7682-7-50

PubMed Abstract | CrossRef Full Text | Google Scholar

Albert, N.M., Swindle, J.P., Buysman, E.K., and Chang, C. (2019). Lower Hospitalization and Healthcare Costs With Sacubitril/Valsartan Versus Angiotensin-Converting Enzyme Inhibitor or Angiotensin-Receptor Blocker in a Retrospective Analysis of Patients With Heart Failure. J. Am. Heart Assoc. 8, e011089. doi:10.1161/JAHA.118.011089

PubMed Abstract | CrossRef Full Text | Google Scholar

Asgar, A.W., Mack, M.J., and Stone, G.W. (2015). Secondary mitral regurgitation in heart failure: pathophysiology, prognosis, and therapeutic considerations. J. Am. Coll. Cardiol. 65, 1231–1248. doi:10.1016/j.jacc.2015.02.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Bhatt, A.S., Cooper, L.B., Ambrosy, A.P., Clare, R.M., Coles, A., Joyce, E., Krishnamoorthy, A., Butler, J., Felker, G.M., Ezekowitz, J.A., Armstrong, P.W., Hernandez, A.F., O'connor, C.M., and Mentz, R.J. (2018). Interaction of Body Mass Index on the Association Between N-Terminal-Pro-b-Type Natriuretic Peptide and Morbidity and Mortality in Patients With Acute Heart Failure: Findings From ASCEND-HF (Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure). J. Am. Heart Assoc. 7, e006740. doi:10.1161/JAHA.117.006740

PubMed Abstract | CrossRef Full Text | Google Scholar

Bozkurt, B., Coats, A.J.S., Tsutsui, H., Abdelhamid, C.M., Adamopoulos, S., Albert, N., Anker, S.D., Atherton, J., Böhm, M., Butler, J., Drazner, M.H., Michael Felker, G., Filippatos, G., Fiuzat, M., Fonarow, G.C., Gomez-Mesa, J.E., Heidenreich, P., Imamura, T., Jankowska, E.A., Januzzi, J., Khazanie, P., Kinugawa, K., Lam, C.S.P., Matsue, Y., Metra, M., Ohtani, T., Francesco Piepoli, M., Ponikowski, P., Rosano, G.M.C., Sakata, Y., Seferović, P., Starling, R.C., Teerlink, J.R., Vardeny, O., Yamamoto, K., Yancy, C., Zhang, J., and Zieroth, S. (2021). Universal definition and classification of heart failure: a report of the Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, Japanese Heart Failure Society and Writing Committee of the Universal Definition of Heart Failure: Endorsed by the Canadian Heart Failure Society, Heart Failure Association of India, Cardiac Society of Australia and New Zealand, and Chinese Heart Failure Association. Eur. J. Heart Fail. 23, 352–380. doi:10.1002/ejhf.2115

PubMed Abstract | CrossRef Full Text | Google Scholar

Burke, R.M., Lighthouse, J.K., Mickelsen, D.M., and Small, E.M. (2019). Sacubitril/Valsartan Decreases Cardiac Fibrosis in Left Ventricle Pressure Overload by Restoring PKG Signaling in Cardiac Fibroblasts. Circ. Heart Fail. 12, e005565. doi:10.1161/CIRCHEARTFAILURE.118.005565

PubMed Abstract | CrossRef Full Text | Google Scholar

Cunfang Chen, B.J., Jiang, S, and Jiang, S (2020). Clinical effect and prognosis of sacubitril-valsartan in treating heart failure patients with midrange ejection fraction. Chin J New Drugs Clin Rem 39, 88–92.

Google Scholar

Dongruil Xu, Q.Z., and Liu, T (2021). Clinical effect of sacubitril/valsartan for heart failure with mid- range ejection fraction in left ventricle. Clinical Focus 36, 416–419.

Google Scholar

Francis, G.S., Cogswell, R., and Thenappan, T. (2014). The heterogeneity of heart failure: will enhanced phenotyping be necessary for future clinical trial success? J. Am. Coll. Cardiol. 64, 1775–1776. doi:10.1016/j.jacc.2014.07.978

PubMed Abstract | CrossRef Full Text | Google Scholar

Fröb, E.J., Sindermann, J.R., Reinecke, H., and Tuleta, I. (2022). Efficacy and safety of sacubitril/valsartan in an outpatient setting: A single-center real-world retrospective study in HFrEF patients with focus on possible predictors of clinical outcome. Adv. Clin. Exp. Med. 31, 475–487. doi:10.17219/acem/145664

PubMed Abstract | CrossRef Full Text | Google Scholar

Gaggin, H.K., Szymonifka, J., Bhardwaj, A., Belcher, A., De Berardinis, B., Motiwala, S., Wang, T.J., and Januzzi, J.L. (2014). Head-to-head comparison of serial soluble ST2, growth differentiation factor-15, and highly-sensitive troponin T measurements in patients with chronic heart failure. JACC. Heart Fail. 2, 65–72. doi:10.1016/j.jchf.2013.10.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Giallauria, F., Vitale, G., Pacileo, M., Di Lorenzo, A., Oliviero, A., Passaro, F., Calce, R., Parlato, A., Testa, C., D'ambrosio, G., Romano, G., Clemenza, F., Sarullo, S., Venturini, E., Gentile, M., Nugara, C., Iannuzzo, G., D'andrea, A., Vigorito, C., and Sarullo, F.M. (2020). Sacubitril/Valsartan Improves Autonomic Function and Cardiopulmonary Parameters in Patients with Heart Failure with Reduced Ejection Fraction. J. Clin. Med. 9, E1897. doi:10.3390/jcm9061897

PubMed Abstract | CrossRef Full Text | Google Scholar

Gorodeski, E.Z., Goyal, P., Hummel, S.L., Krishnaswami, A., Goodlin, S.J., Hart, L.L., Forman, D.E., Wenger, N.K., Kirkpatrick, J.N., Alexander, K.P., et al. (2018). Domain Management Approach to Heart Failure in the Geriatric Patient: Present and Future. J. Am. Coll. Cardiol. 71, 1921–1936. doi:10.1016/j.jacc.2018.02.059

PubMed Abstract | CrossRef Full Text | Google Scholar

Green, C.P., Porter, C.B., Bresnahan, D.R., and Spertus, J.A. (2000). Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health status measure for heart failure. J. Am. Coll. Cardiol. 35, 1245–1255. doi:10.1016/s0735-1097(00)00531-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Gu, J., Noe, A., Chandra, P., Al-Fayoumi, S., Ligueros-Saylan, M., Sarangapani, R., Maahs, S., Ksander, G., Rigel, D.F., Jeng, A.Y., Lin, T.H., Zheng, W., and Dole, W.P. (2010). Pharmacokinetics and pharmacodynamics of LCZ696, a novel dual-acting angiotensin receptor-neprilysin inhibitor (ARNi). J. Clin. Pharmacol. 50, 401–414. doi:10.1177/0091270009343932

PubMed Abstract | CrossRef Full Text | Google Scholar

He Wen, J.Q., Hu, L, Qi, B, Li, C, Tao, L, and Li, Y (2020). Clinical effect of sacubitril valsartan in treating heart failure patients with mid-range ejection fraction. Chin Heart J 32, 135–139.

Google Scholar

Hobbs, F.D., Roalfe, A.K., Davis, R.C., Davies, M.K., and Hare, R. (2007). Prognosis of all-cause heart failure and borderline left ventricular systolic dysfunction: 5 year mortality follow-up of the Echocardiographic Heart of England Screening Study (ECHOES). Eur. Heart J. 28, 1128–1134. doi:10.1093/eurheartj/ehm102

PubMed Abstract | CrossRef Full Text | Google Scholar

Jadad, A.R., Moore, R.A., Carroll, D., Jenkinson, C., Reynolds, D.J., Gavaghan, D.J., and Mcquay, H.J. (1996). Assessing the quality of reports of randomized clinical trials: is blinding necessary? Control. Clin. Trials 17, 1–12. doi:10.1016/0197-2456(95)00134-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, Y., Hu, X., Cao, Y., Wang, X., Tong, Y., Yao, F., Wu, P., and Huang, H. (2021). The Role of 6-Minute Walk Test Guided by Impedance Cardiography in the Rehabilitation Following Knee Arthroplasty: A Randomized Controlled Trial. Front. Cardiovasc. Med. 8, 736208. doi:10.3389/fcvm.2021.736208

PubMed Abstract | CrossRef Full Text | Google Scholar

Lr Liana Tumasyan, K.A., Al, C, Tunyan, L, and Mkrtchyan, V (2019). Comparative efficacy of renin-angiotensin aldesteron system modulators and angiotensin receptor neprilyzin inhibitor in chronic heart failure with mid-ranged and preserved ejection fraction. European Society of Cardiology 21, 139–140.

Google Scholar

Maddox, T.M., Januzzi, J.L., Allen, L.A., Breathett, K., Butler, J., Davis, L.L., Fonarow, G.C., Ibrahim, N.E., Lindenfeld, J., Masoudi, F.A., Motiwala, S.R., Oliveros, E., Patterson, J.H., Walsh, M.N., Wasserman, A., Yancy, C.W., Youmans, Q.R., et al. (2021). 2021 Update to the 2017 ACC Expert Consensus Decision Pathway for Optimization of Heart Failure Treatment: Answers to 10 Pivotal Issues About Heart Failure With Reduced Ejection Fraction: A Report of the American College of Cardiology Solution Set Oversight Committee. J. Am. Coll. Cardiol. 77, 772–810. doi:10.1016/j.jacc.2020.11.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Man Gao, S.C., Zhang, F, Hao, Q, and Qi, X (2021). Effect of angiotensin receptor neprilysin inhibitor on prognosis of patients with heart failure and mid-range ejection fraction. Chin Heart J 33, 596–599.

Google Scholar

Mcdonagh, T.A., Metra, M., Adamo, M., Gardner, R.S., Baumbach, A., Böhm, M., Burri, H., Butler, J., Čelutkienė, J., Chioncel, O., Cleland, J.G.F., Coats, A.J.S., Crespo-Leiro, M.G., Farmakis, D., Gilard, M., Heymans, S., Hoes, A.W., Jaarsma, T., Jankowska, E.A., Lainscak, M., Lam, C.S.P., Lyon, A.R., Mcmurray, J.J.V., Mebazaa, A., Mindham, R., Muneretto, C., Francesco Piepoli, M., Price, S., Rosano, G.M.C., Ruschitzka, F., Kathrine Skibelund, A., et al. (2022). 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: Developed by the Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). With the special contribution of the Heart Failure Association (HFA) of the ESC. Eur. J. Heart Fail. 24, 4–131. doi:10.1002/ejhf.2333

PubMed Abstract | CrossRef Full Text | Google Scholar

Mcmurray, J.J., Packer, M., Desai, A.S., Gong, J., Lefkowitz, M.P., Rizkala, A.R., Rouleau, J.L., Shi, V.C., Solomon, S.D., Swedberg, K., Zile, M.R., et al. (2014). Angiotensin-neprilysin inhibition versus enalapril in heart failure. N. Engl. J. Med. 371, 993–1004. doi:10.1056/NEJMoa1409077

PubMed Abstract | CrossRef Full Text | Google Scholar

Meixian Chen, S.H., Lin, X.-L., Lin, Y, Yang, Y, Zhang, W, Cao, X, and Luo, Z (2021). The effects of sacubitri-valsartan in heart failure patients with mid-range ejection fraction. Chin J Hypertens 29, 540–548.

Google Scholar

Mi, H. (2021). Observation on the Effect of Sakubatrovalsartan in the Treatment of Heart Failure with Mid-range Ejection Fraction. Chinese Practical Journal of Rural Doctor 28, 40–42.

Google Scholar

Napier, R., Mcnulty, S.E., Eton, D.T., Redfield, M.M., Abouezzeddine, O., and Dunlay, S.M. (2018). Comparing Measures to Assess Health-Related Quality of Life in Heart Failure With Preserved Ejection Fraction. JACC. Heart Fail. 6, 552–560. doi:10.1016/j.jchf.2018.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Newton, P.J., Betihavas, V., and Macdonald, P. (2009). The role of b-type natriuretic peptide in heart failure management. Aust. Crit. Care 22, 117–123. doi:10.1016/j.aucc.2009.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Nie, D., Xiong, B., Qian, J., Rong, S., Yao, Y., and Huang, J. (2021). The Effect of Sacubitril-Valsartan in Heart Failure Patients With Mid-Range and Preserved Ejection Fraction: A Meta-Analysis. Heart Lung Circ. 30, 683–691. doi:10.1016/j.hlc.2020.10.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Oh, J.H., Lee, J.M., Lee, H.J., Hwang, J., Lee, C.H., Cho, Y.K., Park, H.S., Yoon, H.J., Chung, J.W., Kim, H., Nam, C.W., Han, S., Hur, S.H., Youn, J.C., and Kim, I.C. (2022). The benefits of the earlier use of sacubitril/valsartan in de novo heart failure with reduced ejection fraction patients. ESC Heart Fail. 9, 2435–2444. doi:10.1002/ehf2.13940

PubMed Abstract | CrossRef Full Text | Google Scholar

Panza, J.A., Ellis, A.M., Al-Khalidi, H.R., Holly, T.A., Berman, D.S., Oh, J.K., Pohost, G.M., Sopko, G., Chrzanowski, L., Mark, D.B., Kukulski, T., Favaloro, L.E., Maurer, G., Farsky, P.S., Tan, R.S., Asch, F.M., Velazquez, E.J., Rouleau, J.L., Lee, K.L., and Bonow, R.O. (2019). Myocardial Viability and Long-Term Outcomes in Ischemic Cardiomyopathy. N. Engl. J. Med. 381, 739–748. doi:10.1056/NEJMoa1807365

PubMed Abstract | CrossRef Full Text | Google Scholar

Pascual-Figal, D., Bayés-Genis, A., Beltrán-Troncoso, P., Caravaca-Pérez, P., Conde-Martel, A., Crespo-Leiro, M.G., Delgado, J.F., Díez, J., Formiga, F., and Manito, N. (2021). Sacubitril-Valsartan, Clinical Benefits and Related Mechanisms of Action in Heart Failure With Reduced Ejection Fraction. A Review. Front. Cardiovasc. Med. 8, 754499. doi:10.3389/fcvm.2021.754499

PubMed Abstract | CrossRef Full Text | Google Scholar

Pascual-Figal, D.A., and Januzzi, J.L. (2015). The biology of ST2: the International ST2 Consensus Panel. Am. J. Cardiol. 115, 3B–7B. doi:10.1016/j.amjcard.2015.01.034

PubMed Abstract | CrossRef Full Text | Google Scholar

Pengfei Ma, G.D. (2020). Efficacy and safety of sacubitril valsartan in the treatment of patients with heart failure with midrange ejection fraction. Clinical medicine research and practice 5, 54–46.

Google Scholar

Ponikowski, P., Voors, A.A., Anker, S.D., Bueno, H., Cleland, J.G., Coats, A.J., Falk, V., González-Juanatey, J.R., Harjola, V.P., Jankowska, E.A., Jessup, M., Linde, C., Nihoyannopoulos, P., Parissis, J.T., Pieske, B., Riley, J.P., Rosano, G.M., Ruilope, L.M., Ruschitzka, F., Rutten, F.H., Van Der Meer, P., et al. (2016a). 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC). Developed with the special contribution of the Heart Failure Association (HFA) of the ESC. Eur. J. Heart Fail. 18, 891–975. doi:10.1002/ejhf.592

PubMed Abstract | CrossRef Full Text | Google Scholar

Ponikowski, P., Voors, A.A., Anker, S.D., Bueno, H., Cleland, J.G.F., Coats, A.J.S., Falk, V., González-Juanatey, J.R., Harjola, V.P., Jankowska, E.A., Jessup, M., Linde, C., Nihoyannopoulos, P., Parissis, J.T., Pieske, B., Riley, J.P., Rosano, G.M.C., Ruilope, L.M., Ruschitzka, F., Rutten, F.H., and Van Der Meer, P. (2016b). 2016 ESC Guidelines for the Diagnosis and Treatment of Acute and Chronic Heart Failure. Rev. Esp. Cardiol. 69, 1167. doi:10.1016/j.rec.2016.11.005

CrossRef Full Text | Google Scholar

Rickenbacher, P., Kaufmann, B.A., Maeder, M.T., Bernheim, A., Goetschalckx, K., Pfister, O., Pfisterer, M., Brunner-La Rocca, H.P., et al. (2017). Heart failure with mid-range ejection fraction: a distinct clinical entity? Insights from the Trial of Intensified versus standard Medical therapy in Elderly patients with Congestive Heart Failure (TIME-CHF). Eur. J. Heart Fail. 19, 1586–1596. doi:10.1002/ejhf.798

PubMed Abstract | CrossRef Full Text | Google Scholar

Rong Liu, H.Y., Liang, Y, Kun, N, Xu, B, Gao, Y, Yan, X, Xu, G, Wang, N, and Wang, Z (2020). Short-term clinical efficacy of Sacubitril valsartan sodium in the treatment of heart failure with median ejection fraction irShort-term clinical efficacy of Sacubitril valsartan sodium in the treatment of heart failure with median ejection fraction irischemic cardiomyopathy. Clin J Med Offic 48, 544–546.

Google Scholar

Sardu, C., Marfella, R., Santamaria, M., Papini, S., Parisi, Q., Sacra, C., Colaprete, D., Paolisso, G., Rizzo, M.R., and Barbieri, M. (2018). Stretch, Injury and Inflammation Markers Evaluation to Predict Clinical Outcomes After Implantable Cardioverter Defibrillator Therapy in Heart Failure Patients With Metabolic Syndrome. Front. Physiol. 9, 758. doi:10.3389/fphys.2018.00758

PubMed Abstract | CrossRef Full Text | Google Scholar

Sardu, C., Massetti, M., Scisciola, L., Trotta, M.C., Santamaria, M., Volpicelli, M., Ducceschi, V., Signoriello, G., D'onofrio, N., Marfella, L., Casolaro, F., Amico, M.D., Ruocco, A., Balestrieri, M.L., Mauro, C., Rafaniello, C., Capuano, A., Paolisso, G., and Marfella, R. (2022). Angiotensin receptor/Neprilysin inhibitor effects in CRTd non-responders: From epigenetic to clinical beside. Pharmacol. Res. 182, 106303. doi:10.1016/j.phrs.2022.106303

PubMed Abstract | CrossRef Full Text | Google Scholar

Solomon, S.D., Claggett, B., Mcmurray, J.J., Hernandez, A.F., and Fonarow, G.C. (2016). Combined neprilysin and renin-angiotensin system inhibition in heart failure with reduced ejection fraction: a meta-analysis. Eur. J. Heart Fail. 18, 1238–1243. doi:10.1002/ejhf.603

PubMed Abstract | CrossRef Full Text | Google Scholar

Solomon, S.D., Mcmurray, J.J.V., Anand, I.S., Ge, J., Lam, C.S.P., Maggioni, A.P., Martinez, F., Packer, M., Pfeffer, M.A., Pieske, B., Redfield, M.M., Rouleau, J.L., Van Veldhuisen, D.J., Zannad, F., Zile, M.R., Desai, A.S., Claggett, B., Jhund, P.S., Boytsov, S.A., Comin-Colet, J., Cleland, J., Düngen, H.D., Goncalvesova, E., Katova, T., Kerr Saraiva, J.F., Lelonek, M., Merkely, B., Senni, M., Shah, S.J., Zhou, J., Rizkala, A.R., Gong, J., Shi, V.C., Lefkowitz, M.P., et al. (2019). Angiotensin-Neprilysin Inhibition in Heart Failure with Preserved Ejection Fraction. N. Engl. J. Med. 381, 1609–1620. doi:10.1056/NEJMoa1908655

PubMed Abstract | CrossRef Full Text | Google Scholar

Solomon, S.D., Zile, M., Pieske, B., Voors, A., Shah, A., Kraigher-Krainer, E., Shi, V., Bransford, T., Takeuchi, M., Gong, J., Lefkowitz, M., Packer, M., Mcmurray, J.J., et al. (2012). The angiotensin receptor neprilysin inhibitor LCZ696 in heart failure with preserved ejection fraction: a phase 2 double-blind randomised controlled trial. Lancet 380, 1387–1395. doi:10.1016/S0140-6736(12)61227-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Srivastava, P.K., Hsu, J.J., Ziaeian, B., and Fonarow, G.C. (2020). Heart Failure With Mid-range Ejection Fraction. Curr. Heart Fail. Rep. 17, 1–8. doi:10.1007/s11897-019-00451-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Stang, A. (2010). Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur. J. Epidemiol. 25, 603–605. doi:10.1007/s10654-010-9491-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Sumarsono, A., Vaduganathan, M., Ajufo, E., Navar, A.M., Fonarow, G.C., Das, S.R., and Pandey, A. (2020). Contemporary Patterns of Medicare and Medicaid Utilization and Associated Spending on Sacubitril/Valsartan and Ivabradine in Heart Failure. JAMA Cardiol. 5, 336–339. doi:10.1001/jamacardio.2019.4982

PubMed Abstract | CrossRef Full Text | Google Scholar

Tillman, F., Kim, J., Makhlouf, T., and Osae, L. (2019). A comprehensive review of chronic heart failure pharmacotherapy treatment approaches in African Americans. Ther. Adv. Cardiovasc. Dis. 13, 1753944719840192. doi:10.1177/1753944719840192

PubMed Abstract | CrossRef Full Text | Google Scholar

Vaskova, E., Ikeda, G., Tada, Y., Wahlquist, C., Mercola, M., and Yang, P.C. (2020). Sacubitril/Valsartan Improves Cardiac Function and Decreases Myocardial Fibrosis Via Downregulation of Exosomal miR-181a in a Rodent Chronic Myocardial Infarction Model. J. Am. Heart Assoc. 9, e015640. doi:10.1161/JAHA.119.015640

PubMed Abstract | CrossRef Full Text | Google Scholar

Vitale, G., Romano, G., Di Franco, A., Caccamo, G., Nugara, C., Ajello, L., Storniolo, S., Sarullo, S., Agnese, V., Giallauria, F., Novo, G., Clemenza, F., and Sarullo, F.M. (2019). Early Effects of Sacubitril/Valsartan on Exercise Tolerance in Patients with Heart Failure with Reduced Ejection Fraction. J. Clin. Med. 8, E262. doi:10.3390/jcm8020262

PubMed Abstract | CrossRef Full Text | Google Scholar

Wachter, R., Shah, S.J., Cowie, M.R., Szecsödy, P., Shi, V., Ibram, G., Zhao, Z., Gong, J., Klebs, S., and Pieske, B. (2020). Angiotensin receptor neprilysin inhibition versus individualized RAAS blockade: design and rationale of the PARALLAX trial. ESC Heart Fail. 7, 856–864. doi:10.1002/ehf2.12694

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, G., Li, W., Jiang, Y. X., and Lu, X. H. (2019). The extract from Agkistrodon halys venom protects against lipopolysaccharide (LPS)-induced myocardial injury. BMC Complement. Altern. Med. 31, 176–177. doi:10.1186/s12906-019-2595-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Wu Yi, Z.J., Zhao, F, Jing, L, Lu, G, Sun, Y, and Li, W (2021). Effect of sacubitril/valsartan on LVEF and remodeling in elderly patients with HFmrEF. Chin J Geriatr Heart Brain Vessel Ds 23, 1015–1018.

Google Scholar

Xiang Li, Z.M (2021). “A Clinical Study of the Efficacy and Safety of Sacubitril-valsartan in the Treatment of Patients with Median Ejection Fraction Heart Failure,” in World Latest Medicine Information (Electronic Version). Beijing: China Publishing Group, 21, 46–49.

Google Scholar

Xiangjie Liu, X.L. (2021). Effects of shakubatrovalsartan on cardiac function and near - term prognosis in patients with median ejection fraction heart failure. Journal of Clinical and Experimental Medicin 20, 1689–1692.

Google Scholar

Xin, Y., Chen, X., Zhao, Y., and Hu, W. (2019). The impact of heart rate on patients diagnosed with heart failure with mid-range ejection fraction. Anatol. J. Cardiol. 21, 68–74. doi:10.14744/AnatolJCardiol.2018.38364

PubMed Abstract | CrossRef Full Text | Google Scholar

Xinxin Guo, B.C. (2021). Efficacy analysis of angiotensin receptor enkephalinase inhibitor to treat heart failure with mid-range e-jection fraction. Journal of Cardiovascular and Pulmonary Diseases 40, 21–28.

Google Scholar

Yang, Y., Wang, F., Zou, C., Dong, H., Huang, X., Zhou, B., Li, X., and Yang, X. (2018). Male Patients With Dilated Cardiomyopathy Exhibiting a Higher Heart Rate Acceleration Capacity or a Lower Deceleration Capacity Are at Higher Risk of Cardiac Death. Front. Physiol. 9, 1774. doi:10.3389/fphys.2018.01774

PubMed Abstract | CrossRef Full Text | Google Scholar

Ye, F., Li, H., Chen, X., Wang, Y., Lin, W., Chen, H., Huang, S., Han, S., Guan, F., and Huang, Z. (2022). Efficacy and safety of sacubitril valsartan in treating heart failure with midrange ejection fraction after acute myocardial infarction in diabetic patients. Medicine (Baltimore) 101, e28729. doi:10.1097/MD.0000000000028729

PubMed Abstract | CrossRef Full Text | Google Scholar

Yongyue Zhou, Z.X. (2021). Effect of sacubitril/valsartan on the prognosis of patients with heart failure with failure with midrange ejection fraction. Journal of Clinical Cardiology( China) 37, 132–136.

Google Scholar

Zhang, H., Huang, T., Shen, W., Xu, X., Yang, P., Zhu, D., Fang, H., Wan, H., Wu, T., Wu, Y., and Wu, Q. (2020). Efficacy and safety of sacubitril-valsartan in heart failure: a meta-analysis of randomized controlled trials. ESC Heart Fail. 7, 3841–3850. doi:10.1002/ehf2.12974

PubMed Abstract | CrossRef Full Text | Google Scholar

Zuberbier, T., Aberer, W., Asero, R., Abdul Latiff, A.H., Baker, D., Ballmer-Weber, B., Bernstein, J.A., Bindslev-Jensen, C., Brzoza, Z., Buense Bedrikow, R., Canonica, G.W., Church, M.K., Craig, T., Danilycheva, I.V., Dressler, C., Ensina, L.F., Giménez-Arnau, A., Godse, K., Gonçalo, M., Grattan, C., Hebert, J., Hide, M., Kaplan, A., Kapp, A., Katelaris, C.H., Kocatürk, E., Kulthanan, K., Larenas-Linnemann, D., Leslie, T.A., Magerl, M., Mathelier-Fusade, P., Meshkova, R.Y., Metz, M., Nast, A., Nettis, E., Oude-Elberink, H., Rosumeck, S., Saini, S.S., Sánchez-Borges, M., Schmid-Grendelmeier, P., Staubach, P., Sussman, G., Toubi, E., Vena, G.A., Vestergaard, C., Wedi, B., Werner, R.N., Zhao, Z., Maurer, M., et al. (2018). The EAACI/GA2LEN/EDF/WAO guideline for the definition, classification, diagnosis and management of urticaria. Allergy 73, 1393–1414. doi:10.1111/all.13397

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: sacubitril-valsartan, median ejection fraction, heart failure, systematic review, meta-analysis

Citation: Qin J, Wang W, Wei P, Huang P, Lin R and Yue J (2022) Effects of sacubitril-valsartan on heart failure patients with mid-range ejection fractions: A systematic review and meta-analysis. Front. Pharmacol. 13:982372. doi: 10.3389/fphar.2022.982372

Received: 30 June 2022; Accepted: 12 October 2022;
Published: 24 October 2022.

Edited by:

Carlos Alves, University of Coimbra, Portugal

Reviewed by:

Francesco Giallauria, Federico II University Hospital, Italy
Celestino Sardu, University of Campania Luigi Vanvitelli, Italy

Copyright © 2022 Qin, Wang, Wei, Huang, Lin and Yue. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jinming Yue, SmlubWluZ3l3dXpob3VAb3V0bG9vay5jb20=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.