急性心力衰竭患者的血管紧张素受体-奈普利尔酶抑制剂和指南指导的药物疗法的联合使用

IF 16.9 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS European Journal of Heart Failure Pub Date : 2024-11-11 DOI:10.1002/ejhf.3526
Atsushi Tanaka, Takumi Imai, Keisuke Kida, Yuya Matsue, Koichi Node
{"title":"急性心力衰竭患者的血管紧张素受体-奈普利尔酶抑制剂和指南指导的药物疗法的联合使用","authors":"Atsushi Tanaka, Takumi Imai, Keisuke Kida, Yuya Matsue, Koichi Node","doi":"10.1002/ejhf.3526","DOIUrl":null,"url":null,"abstract":"<p>Both American and European heart failure (HF) guidelines currently recommend initiation and optimization of guideline-directed medical therapy (GDMT), which is composed of renin–angiotensin system (RAS) inhibitors, β-blocker, mineralocorticoid receptor antagonist (MRA), and sodium–glucose cotransporter 2 (SGLT2) inhibitor, during the hospitalization for acute HF (AHF).<span><sup>1-3</sup></span> In previous clinical trials, it was found that initiation of sacubitril/valsartan (Sac/Val) early in stabilized patients after an AHF episode requiring hospitalization resulted in a greater reduction in N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentration than the use of standard RAS inhibitors over 8 weeks of therapy.<span><sup>4</sup></span> However, since those trials and another AHF trial assessing intensive and rapid up-titration of GDMT included few patients being treated by SGLT2 inhibitors,<span><sup>4, 5</sup></span> it is currently unclear whether the treatment effect of early Sac/Val initiation on NT-proBNP concentration differs according to the combination status of GDMT in this patient population.</p>\n<p>In the recent Program Angiotensin–Neprilysin Inhibition in Admitted Patients with Worsening Heart Failure (PREMIER) study (NCT05164653),<span><sup>6</sup></span> in-hospital initiation of Sac/Val, compared with the use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (ACEI/ARB), also triggered a greater NT-proBNP concentration reduction over 8 weeks in Japanese patients admitted with AHF. In that study, background usage of individual GDMT other than RAS inhibitors was more frequent than in previous studies.<span><sup>4</sup></span> We herein examined the NT-proBNP response according to the combination status of GDMT usage as a post hoc secondary analysis of the PREMIER study.<span><sup>6</sup></span></p>\n<p>The PREMIER study was an investigator-initiated, multicentre, prospective, randomized controlled, open-label, blinded-endpoint design that included haemodynamically stabilized Japanese inpatients after an AHF event, regardless of left ventricular ejection fraction (LVEF) status and acute de novo or decompensated chronic HF. The study participants on standard ACEI/ARB therapy were allocated within 7 days of an index hospitalization to receive either switched Sac/Val or continued ACEI/ARB therapy for 8 weeks. The study protocol was approved by the ethics committee of each site and individual informed consent was obtained before study entry.</p>\n<p>Study participants were sub-classified according to the combined use of background GDMT, excluding the study drugs, at baseline (week 0). Patients who were on three background GDMT (β-blocker, MRA, and SGLT2 inhibitor) were categorized into quadruple (three GDMT and study drug) HF therapy recipients. In contrast, patients, who were on two or fewer background GDMT plus study drugs, were categorized into non-quadruple HF therapy recipients. The NT-proBNP concentration was analysed in a manner similar to the primary analysis,<span><sup>6</sup></span> using a mixed-effects model for repeated measurements that included an interaction term between treatment and GDMT status, adjusted by baseline NT-proBNP levels and other variables with a large treatment-group difference (a standardized mean difference &gt;0.200).</p>\n<p>Among the full analysis set (<i>n</i> = 376; Sac/Val, <i>n</i> = 183; ACEI/ARB, <i>n</i> = 193),<span><sup>6</sup></span> 188 patients (Sac/Val, <i>n</i> = 91; ACEI/ARB, <i>n</i> = 97) received quadruple HF therapy and 188 patients (Sac/Val, <i>n</i> = 92; ACEI/ARB, <i>n</i> = 96) received non-quadruple HF therapy. The background characteristics of the patients according to their GDMT status are shown in <i>Table</i> 1. Quadruple recipients were younger, had more <i>de novo</i> HF, and had a lower LVEF than non-quadruple recipients. In the quadruple recipients, percent reductions in the geometric means of NT-proBNP concentration at week 8, compared to the baseline value, were − 54% (95% confidence interval [CI], −61% to −45%) for the Sac/Val group and − 37% (95% CI, −47% to −25%) for the ACEI/ARB group; a group ratio with change (Sac/Val vs. ACEI/ARB) was 0.78 (95% CI, 0.62 to 0.98; <i>p</i> = 0.034). In the non-quadruple recipients, the reductions were −35% (95% CI, −45% to −22%) for the Sac/Val group and −26% (95% CI, −38% to −12%) for the ACEI/ARB group; the group ratio was 0.87 (95% CI, 0.69 to 1.09; <i>p</i> = 0.232) (<i>Figure</i> 1). This was similar in the exclusive analysis targeted at subgroup with background LVEF &lt;40% (group ratio 0.62 [95% CI, 0.47 to 0.83; <i>p</i> = 0.001] for the quadruple recipients) (mean LVEF at randomization 27.7 ± 6.4%) and 0.77 (95% CI, 0.54 to 1.09; <i>p</i> = 0.140) for the non-quadruple recipients (mean LVEF at randomization 28.9 ± 6.0%) (<i>Figure</i> 1).</p>\n<div>\n<header><span>Table 1. </span>Background characteristics of study patients according to guideline-directed medical therapy status at baseline</header>\n<div tabindex=\"0\">\n<table>\n<thead>\n<tr>\n<th rowspan=\"2\">Variable</th>\n<th colspan=\"3\">Quadruple GDMT recipients</th>\n<th colspan=\"3\">Non-quadruple GDMT recipients</th>\n</tr>\n<tr>\n<th style=\"top: 41px;\">Sac/Val (<i>n</i> = 91)</th>\n<th style=\"top: 41px;\">ACEI/ARB (<i>n</i> = 97)</th>\n<th style=\"top: 41px;\">SMD</th>\n<th style=\"top: 41px;\">Sac/Val (<i>n</i> = 92)</th>\n<th style=\"top: 41px;\">ACEI/ARB (<i>n</i> = 96)</th>\n<th style=\"top: 41px;\">SMD</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>Age, years</td>\n<td>68.6 ± 13.3</td>\n<td>71.4 ± 12.9</td>\n<td>0.208</td>\n<td>77.4 ± 10.3</td>\n<td>75.9 ± 11.5</td>\n<td>0.132</td>\n</tr>\n<tr>\n<td>Male sex</td>\n<td>66 (72.5)</td>\n<td>75 (77.3)</td>\n<td>0.111</td>\n<td>57 (62.0)</td>\n<td>58 (60.4)</td>\n<td>0.032</td>\n</tr>\n<tr>\n<td>Systolic blood pressure, mmHg</td>\n<td>129.1 ± 17.6</td>\n<td>126.7 ± 18.9</td>\n<td>0.132</td>\n<td>133.8 ± 21.3</td>\n<td>128.1 ± 18.4</td>\n<td>0.289</td>\n</tr>\n<tr>\n<td>eGFR, ml/min/1.73 m<sup>2</sup></td>\n<td>55.6 ± 17.3</td>\n<td>54.1 ± 13.6</td>\n<td>0.101</td>\n<td>51.0 ± 12.6</td>\n<td>53.1 ± 15.4</td>\n<td>0.151</td>\n</tr>\n<tr>\n<td>De novo HF</td>\n<td>54 (59.3)</td>\n<td>63 (64.9)</td>\n<td>0.116</td>\n<td>48 (52.2)</td>\n<td>44 (45.8)</td>\n<td>0.127</td>\n</tr>\n<tr>\n<td>LVEF at randomization, %</td>\n<td>34.9 ± 13.4</td>\n<td>35.2 ± 12.6</td>\n<td>0.021</td>\n<td>44.1 ± 16.1</td>\n<td>44.7 ± 16.2</td>\n<td>0.038</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">&lt;40%</td>\n<td>61 (67.0)</td>\n<td>65 (67.0)</td>\n<td>0.000</td>\n<td>41 (44.6)</td>\n<td>40 (41.7)</td>\n<td>0.059</td>\n</tr>\n<tr>\n<td>NT-proBNP at baseline<sup>a</sup>, pg/ml</td>\n<td>1770 (1005–3475)</td>\n<td>1730 (890–3118)</td>\n<td>0.038</td>\n<td>1695 (1030–2975)</td>\n<td>2185 (1005–3660)</td>\n<td>0.048</td>\n</tr>\n<tr>\n<td>Use of other GDMTs at baseline</td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n<td></td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">β-blocker (+), MRA (+), SGLT2i (+)</td>\n<td>91 (100)</td>\n<td>97 (100)</td>\n<td>0.000</td>\n<td>0</td>\n<td>0</td>\n<td></td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">β-blocker (+), MRA (+), SGLT2i (–)</td>\n<td>0</td>\n<td>0</td>\n<td></td>\n<td>33 (35.9)</td>\n<td>35 (36.5)</td>\n<td>0.012</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">β-blocker (+), MRA (–), SGLT2i (+)</td>\n<td>0</td>\n<td>0</td>\n<td></td>\n<td>10 (10.9)</td>\n<td>16 (16.7)</td>\n<td>0.169</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">β-blocker (–), MRA (+), SGLT2i (+)</td>\n<td>0</td>\n<td>0</td>\n<td></td>\n<td>13 (14.1)</td>\n<td>13 (13.5)</td>\n<td>0.017</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">β-blocker (+), MRA (–), SGLT2i (–)</td>\n<td>0</td>\n<td>0</td>\n<td></td>\n<td>22 (23.9)</td>\n<td>17 (17.7)</td>\n<td>0.153</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">β-blocker (–), MRA (+), SGLT2i (–)</td>\n<td>0</td>\n<td>0</td>\n<td></td>\n<td>9 (9.8)</td>\n<td>8 (8.3)</td>\n<td>0.051</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">β-blocker (–), MRA (–), SGLT2i (+)</td>\n<td>0</td>\n<td>0</td>\n<td></td>\n<td>1 (1.1)</td>\n<td>4 (4.2)</td>\n<td>0.193</td>\n</tr>\n<tr>\n<td style=\"padding-left:2em;\">β-blocker (–), MRA (–), SGLT2i (–)</td>\n<td>0</td>\n<td>0</td>\n<td></td>\n<td>4 (4.3)</td>\n<td>3 (3.1)</td>\n<td>0.065</td>\n</tr>\n</tbody>\n</table>\n</div>\n<div>\n<ul>\n<li> Values are presented as mean ± standard deviation, <i>n</i> (%), or median (interquartile range).</li>\n<li> ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; eGFR, estimated glomerular filtration rate; GDMT, guideline-directed medical therapy; HF, heart failure; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NT-proBNP, N-terminal pro-B-type natriuretic peptide; Sac/Val, sacubitril/valsartan; SGLT2i, sodium–glucose cotransporter 2 inhibitor; SMD, standardized mean difference.</li>\n<li title=\"Footnote 1\"><span><sup>a</sup> </span> SMD for NT-proBNP was calculated on the log scale.</li>\n</ul>\n</div>\n<div></div>\n</div>\n<figure><picture>\n<source media=\"(min-width: 1650px)\" srcset=\"/cms/asset/9bc02ddf-ff12-48fb-904f-a0822a92fe2b/ejhf3526-fig-0001-m.jpg\"/><img alt=\"Details are in the caption following the image\" data-lg-src=\"/cms/asset/9bc02ddf-ff12-48fb-904f-a0822a92fe2b/ejhf3526-fig-0001-m.jpg\" loading=\"lazy\" src=\"/cms/asset/b4b16303-0c5c-4b77-b323-47e2c80ccfd9/ejhf3526-fig-0001-m.png\" title=\"Details are in the caption following the image\"/></picture><figcaption>\n<div><strong>Figure 1<span style=\"font-weight:normal\"></span></strong><div>Open in figure viewer<i aria-hidden=\"true\"></i><span>PowerPoint</span></div>\n</div>\n<div>Percent changes in the geometric means of N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentration at week 8, compared to the baseline value, and their group ratios (sacubitril/valsartan [Sac/Val] vs. angiotensin-converting enzyme inhibitor/angiotensin receptor blocker [ACEI/ARB]), stratified by the quadruple and non-quadruple guideline-directed medical therapy recipients in the overall (<i>left panel</i>) and subgroup with background left ventricular ejection fraction (LVEF) &lt;40% (<i>right panel</i>). Inter-treatment group comparisons were further adjusted by age and systolic blood pressure at baseline, whose standardized mean differences were greater than 0.200. CI, confidence interval.</div>\n</figcaption>\n</figure>\n<p>A key finding of this secondary analysis of the PREMIER study was that the treatment effect of Sac/Val, relative to ACEI/ARB, on NT-proBNP reduction in patients admitted for AHF was potentially more evident in quadruple recipients, although there was no clear statistical heterogeneity between the GDMT subgroups (<i>p</i><sub>interaction</sub> = 0.505). In this context, the background LVEF was lower in quadruple therapy recipients than in non-quadruple therapy recipients. Studies have shown that the beneficial effect of Sac/Val therapy after AHF was generally evident in patients with a lower LVEF spectrum.<span><sup>4, 6</sup></span> Hence, we assumed that our finding was due to the large proportion of participants with lower LVEF in the quadruple therapy recipients. However, in the exclusive analysis of patients with a background LVEF &lt;40%, the NT-proBNP response to Sac/Val therapy was still evident in quadruple recipients. This may enhance the clinical significance of the early implementation of Sac/Val-based quadruple GDMTs after an AHF episode, especially in patients with a lower LVEF.</p>\n<p>Our findings should be interpreted as indicative, considering several limitations but not as definitive proof of the evidence. This was a post hoc exploratory analysis from a randomized PREMIER study, which was not specifically designed to assess the difference in the treatment effect of Sac/Val according to the baseline combination status of GDMT. The relatively small number of subclassified patients reduced the statistical power to detect the differences. Additionally, this analysis was performed only to evaluate the original primary endpoint of the PREMIER study, and the implementation of GDMT along with other clinical confounding factors may have partially affected the impact of the study interventions on the endpoint. Finally, we did not consider the doses of individual GDMT and their changes, due to limited information after initiating the study drugs.</p>\n<p>Collectively, our findings suggest that the Sac/Val-based full-combination use of GDMT, relative to ACEI/ARB-based use, was incremental in reducing NT-proBNP concentrations in haemodynamically stabilized patients after an AHF episode. Further studies are warranted to establish an optimized clinical strategy for contemporary GDMT implementation in patients with AHF.</p>","PeriodicalId":164,"journal":{"name":"European Journal of Heart Failure","volume":"80 1","pages":""},"PeriodicalIF":16.9000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Angiotensin receptor–neprilysin inhibition and combination use of guideline-directed medical therapies in acute heart failure\",\"authors\":\"Atsushi Tanaka, Takumi Imai, Keisuke Kida, Yuya Matsue, Koichi Node\",\"doi\":\"10.1002/ejhf.3526\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Both American and European heart failure (HF) guidelines currently recommend initiation and optimization of guideline-directed medical therapy (GDMT), which is composed of renin–angiotensin system (RAS) inhibitors, β-blocker, mineralocorticoid receptor antagonist (MRA), and sodium–glucose cotransporter 2 (SGLT2) inhibitor, during the hospitalization for acute HF (AHF).<span><sup>1-3</sup></span> In previous clinical trials, it was found that initiation of sacubitril/valsartan (Sac/Val) early in stabilized patients after an AHF episode requiring hospitalization resulted in a greater reduction in N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentration than the use of standard RAS inhibitors over 8 weeks of therapy.<span><sup>4</sup></span> However, since those trials and another AHF trial assessing intensive and rapid up-titration of GDMT included few patients being treated by SGLT2 inhibitors,<span><sup>4, 5</sup></span> it is currently unclear whether the treatment effect of early Sac/Val initiation on NT-proBNP concentration differs according to the combination status of GDMT in this patient population.</p>\\n<p>In the recent Program Angiotensin–Neprilysin Inhibition in Admitted Patients with Worsening Heart Failure (PREMIER) study (NCT05164653),<span><sup>6</sup></span> in-hospital initiation of Sac/Val, compared with the use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (ACEI/ARB), also triggered a greater NT-proBNP concentration reduction over 8 weeks in Japanese patients admitted with AHF. In that study, background usage of individual GDMT other than RAS inhibitors was more frequent than in previous studies.<span><sup>4</sup></span> We herein examined the NT-proBNP response according to the combination status of GDMT usage as a post hoc secondary analysis of the PREMIER study.<span><sup>6</sup></span></p>\\n<p>The PREMIER study was an investigator-initiated, multicentre, prospective, randomized controlled, open-label, blinded-endpoint design that included haemodynamically stabilized Japanese inpatients after an AHF event, regardless of left ventricular ejection fraction (LVEF) status and acute de novo or decompensated chronic HF. The study participants on standard ACEI/ARB therapy were allocated within 7 days of an index hospitalization to receive either switched Sac/Val or continued ACEI/ARB therapy for 8 weeks. The study protocol was approved by the ethics committee of each site and individual informed consent was obtained before study entry.</p>\\n<p>Study participants were sub-classified according to the combined use of background GDMT, excluding the study drugs, at baseline (week 0). Patients who were on three background GDMT (β-blocker, MRA, and SGLT2 inhibitor) were categorized into quadruple (three GDMT and study drug) HF therapy recipients. In contrast, patients, who were on two or fewer background GDMT plus study drugs, were categorized into non-quadruple HF therapy recipients. The NT-proBNP concentration was analysed in a manner similar to the primary analysis,<span><sup>6</sup></span> using a mixed-effects model for repeated measurements that included an interaction term between treatment and GDMT status, adjusted by baseline NT-proBNP levels and other variables with a large treatment-group difference (a standardized mean difference &gt;0.200).</p>\\n<p>Among the full analysis set (<i>n</i> = 376; Sac/Val, <i>n</i> = 183; ACEI/ARB, <i>n</i> = 193),<span><sup>6</sup></span> 188 patients (Sac/Val, <i>n</i> = 91; ACEI/ARB, <i>n</i> = 97) received quadruple HF therapy and 188 patients (Sac/Val, <i>n</i> = 92; ACEI/ARB, <i>n</i> = 96) received non-quadruple HF therapy. The background characteristics of the patients according to their GDMT status are shown in <i>Table</i> 1. Quadruple recipients were younger, had more <i>de novo</i> HF, and had a lower LVEF than non-quadruple recipients. In the quadruple recipients, percent reductions in the geometric means of NT-proBNP concentration at week 8, compared to the baseline value, were − 54% (95% confidence interval [CI], −61% to −45%) for the Sac/Val group and − 37% (95% CI, −47% to −25%) for the ACEI/ARB group; a group ratio with change (Sac/Val vs. ACEI/ARB) was 0.78 (95% CI, 0.62 to 0.98; <i>p</i> = 0.034). In the non-quadruple recipients, the reductions were −35% (95% CI, −45% to −22%) for the Sac/Val group and −26% (95% CI, −38% to −12%) for the ACEI/ARB group; the group ratio was 0.87 (95% CI, 0.69 to 1.09; <i>p</i> = 0.232) (<i>Figure</i> 1). This was similar in the exclusive analysis targeted at subgroup with background LVEF &lt;40% (group ratio 0.62 [95% CI, 0.47 to 0.83; <i>p</i> = 0.001] for the quadruple recipients) (mean LVEF at randomization 27.7 ± 6.4%) and 0.77 (95% CI, 0.54 to 1.09; <i>p</i> = 0.140) for the non-quadruple recipients (mean LVEF at randomization 28.9 ± 6.0%) (<i>Figure</i> 1).</p>\\n<div>\\n<header><span>Table 1. </span>Background characteristics of study patients according to guideline-directed medical therapy status at baseline</header>\\n<div tabindex=\\\"0\\\">\\n<table>\\n<thead>\\n<tr>\\n<th rowspan=\\\"2\\\">Variable</th>\\n<th colspan=\\\"3\\\">Quadruple GDMT recipients</th>\\n<th colspan=\\\"3\\\">Non-quadruple GDMT recipients</th>\\n</tr>\\n<tr>\\n<th style=\\\"top: 41px;\\\">Sac/Val (<i>n</i> = 91)</th>\\n<th style=\\\"top: 41px;\\\">ACEI/ARB (<i>n</i> = 97)</th>\\n<th style=\\\"top: 41px;\\\">SMD</th>\\n<th style=\\\"top: 41px;\\\">Sac/Val (<i>n</i> = 92)</th>\\n<th style=\\\"top: 41px;\\\">ACEI/ARB (<i>n</i> = 96)</th>\\n<th style=\\\"top: 41px;\\\">SMD</th>\\n</tr>\\n</thead>\\n<tbody>\\n<tr>\\n<td>Age, years</td>\\n<td>68.6 ± 13.3</td>\\n<td>71.4 ± 12.9</td>\\n<td>0.208</td>\\n<td>77.4 ± 10.3</td>\\n<td>75.9 ± 11.5</td>\\n<td>0.132</td>\\n</tr>\\n<tr>\\n<td>Male sex</td>\\n<td>66 (72.5)</td>\\n<td>75 (77.3)</td>\\n<td>0.111</td>\\n<td>57 (62.0)</td>\\n<td>58 (60.4)</td>\\n<td>0.032</td>\\n</tr>\\n<tr>\\n<td>Systolic blood pressure, mmHg</td>\\n<td>129.1 ± 17.6</td>\\n<td>126.7 ± 18.9</td>\\n<td>0.132</td>\\n<td>133.8 ± 21.3</td>\\n<td>128.1 ± 18.4</td>\\n<td>0.289</td>\\n</tr>\\n<tr>\\n<td>eGFR, ml/min/1.73 m<sup>2</sup></td>\\n<td>55.6 ± 17.3</td>\\n<td>54.1 ± 13.6</td>\\n<td>0.101</td>\\n<td>51.0 ± 12.6</td>\\n<td>53.1 ± 15.4</td>\\n<td>0.151</td>\\n</tr>\\n<tr>\\n<td>De novo HF</td>\\n<td>54 (59.3)</td>\\n<td>63 (64.9)</td>\\n<td>0.116</td>\\n<td>48 (52.2)</td>\\n<td>44 (45.8)</td>\\n<td>0.127</td>\\n</tr>\\n<tr>\\n<td>LVEF at randomization, %</td>\\n<td>34.9 ± 13.4</td>\\n<td>35.2 ± 12.6</td>\\n<td>0.021</td>\\n<td>44.1 ± 16.1</td>\\n<td>44.7 ± 16.2</td>\\n<td>0.038</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">&lt;40%</td>\\n<td>61 (67.0)</td>\\n<td>65 (67.0)</td>\\n<td>0.000</td>\\n<td>41 (44.6)</td>\\n<td>40 (41.7)</td>\\n<td>0.059</td>\\n</tr>\\n<tr>\\n<td>NT-proBNP at baseline<sup>a</sup>, pg/ml</td>\\n<td>1770 (1005–3475)</td>\\n<td>1730 (890–3118)</td>\\n<td>0.038</td>\\n<td>1695 (1030–2975)</td>\\n<td>2185 (1005–3660)</td>\\n<td>0.048</td>\\n</tr>\\n<tr>\\n<td>Use of other GDMTs at baseline</td>\\n<td></td>\\n<td></td>\\n<td></td>\\n<td></td>\\n<td></td>\\n<td></td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">β-blocker (+), MRA (+), SGLT2i (+)</td>\\n<td>91 (100)</td>\\n<td>97 (100)</td>\\n<td>0.000</td>\\n<td>0</td>\\n<td>0</td>\\n<td></td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">β-blocker (+), MRA (+), SGLT2i (–)</td>\\n<td>0</td>\\n<td>0</td>\\n<td></td>\\n<td>33 (35.9)</td>\\n<td>35 (36.5)</td>\\n<td>0.012</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">β-blocker (+), MRA (–), SGLT2i (+)</td>\\n<td>0</td>\\n<td>0</td>\\n<td></td>\\n<td>10 (10.9)</td>\\n<td>16 (16.7)</td>\\n<td>0.169</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">β-blocker (–), MRA (+), SGLT2i (+)</td>\\n<td>0</td>\\n<td>0</td>\\n<td></td>\\n<td>13 (14.1)</td>\\n<td>13 (13.5)</td>\\n<td>0.017</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">β-blocker (+), MRA (–), SGLT2i (–)</td>\\n<td>0</td>\\n<td>0</td>\\n<td></td>\\n<td>22 (23.9)</td>\\n<td>17 (17.7)</td>\\n<td>0.153</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">β-blocker (–), MRA (+), SGLT2i (–)</td>\\n<td>0</td>\\n<td>0</td>\\n<td></td>\\n<td>9 (9.8)</td>\\n<td>8 (8.3)</td>\\n<td>0.051</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">β-blocker (–), MRA (–), SGLT2i (+)</td>\\n<td>0</td>\\n<td>0</td>\\n<td></td>\\n<td>1 (1.1)</td>\\n<td>4 (4.2)</td>\\n<td>0.193</td>\\n</tr>\\n<tr>\\n<td style=\\\"padding-left:2em;\\\">β-blocker (–), MRA (–), SGLT2i (–)</td>\\n<td>0</td>\\n<td>0</td>\\n<td></td>\\n<td>4 (4.3)</td>\\n<td>3 (3.1)</td>\\n<td>0.065</td>\\n</tr>\\n</tbody>\\n</table>\\n</div>\\n<div>\\n<ul>\\n<li> Values are presented as mean ± standard deviation, <i>n</i> (%), or median (interquartile range).</li>\\n<li> ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; eGFR, estimated glomerular filtration rate; GDMT, guideline-directed medical therapy; HF, heart failure; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NT-proBNP, N-terminal pro-B-type natriuretic peptide; Sac/Val, sacubitril/valsartan; SGLT2i, sodium–glucose cotransporter 2 inhibitor; SMD, standardized mean difference.</li>\\n<li title=\\\"Footnote 1\\\"><span><sup>a</sup> </span> SMD for NT-proBNP was calculated on the log scale.</li>\\n</ul>\\n</div>\\n<div></div>\\n</div>\\n<figure><picture>\\n<source media=\\\"(min-width: 1650px)\\\" srcset=\\\"/cms/asset/9bc02ddf-ff12-48fb-904f-a0822a92fe2b/ejhf3526-fig-0001-m.jpg\\\"/><img alt=\\\"Details are in the caption following the image\\\" data-lg-src=\\\"/cms/asset/9bc02ddf-ff12-48fb-904f-a0822a92fe2b/ejhf3526-fig-0001-m.jpg\\\" loading=\\\"lazy\\\" src=\\\"/cms/asset/b4b16303-0c5c-4b77-b323-47e2c80ccfd9/ejhf3526-fig-0001-m.png\\\" title=\\\"Details are in the caption following the image\\\"/></picture><figcaption>\\n<div><strong>Figure 1<span style=\\\"font-weight:normal\\\"></span></strong><div>Open in figure viewer<i aria-hidden=\\\"true\\\"></i><span>PowerPoint</span></div>\\n</div>\\n<div>Percent changes in the geometric means of N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentration at week 8, compared to the baseline value, and their group ratios (sacubitril/valsartan [Sac/Val] vs. angiotensin-converting enzyme inhibitor/angiotensin receptor blocker [ACEI/ARB]), stratified by the quadruple and non-quadruple guideline-directed medical therapy recipients in the overall (<i>left panel</i>) and subgroup with background left ventricular ejection fraction (LVEF) &lt;40% (<i>right panel</i>). Inter-treatment group comparisons were further adjusted by age and systolic blood pressure at baseline, whose standardized mean differences were greater than 0.200. CI, confidence interval.</div>\\n</figcaption>\\n</figure>\\n<p>A key finding of this secondary analysis of the PREMIER study was that the treatment effect of Sac/Val, relative to ACEI/ARB, on NT-proBNP reduction in patients admitted for AHF was potentially more evident in quadruple recipients, although there was no clear statistical heterogeneity between the GDMT subgroups (<i>p</i><sub>interaction</sub> = 0.505). In this context, the background LVEF was lower in quadruple therapy recipients than in non-quadruple therapy recipients. Studies have shown that the beneficial effect of Sac/Val therapy after AHF was generally evident in patients with a lower LVEF spectrum.<span><sup>4, 6</sup></span> Hence, we assumed that our finding was due to the large proportion of participants with lower LVEF in the quadruple therapy recipients. However, in the exclusive analysis of patients with a background LVEF &lt;40%, the NT-proBNP response to Sac/Val therapy was still evident in quadruple recipients. This may enhance the clinical significance of the early implementation of Sac/Val-based quadruple GDMTs after an AHF episode, especially in patients with a lower LVEF.</p>\\n<p>Our findings should be interpreted as indicative, considering several limitations but not as definitive proof of the evidence. This was a post hoc exploratory analysis from a randomized PREMIER study, which was not specifically designed to assess the difference in the treatment effect of Sac/Val according to the baseline combination status of GDMT. The relatively small number of subclassified patients reduced the statistical power to detect the differences. Additionally, this analysis was performed only to evaluate the original primary endpoint of the PREMIER study, and the implementation of GDMT along with other clinical confounding factors may have partially affected the impact of the study interventions on the endpoint. Finally, we did not consider the doses of individual GDMT and their changes, due to limited information after initiating the study drugs.</p>\\n<p>Collectively, our findings suggest that the Sac/Val-based full-combination use of GDMT, relative to ACEI/ARB-based use, was incremental in reducing NT-proBNP concentrations in haemodynamically stabilized patients after an AHF episode. Further studies are warranted to establish an optimized clinical strategy for contemporary GDMT implementation in patients with AHF.</p>\",\"PeriodicalId\":164,\"journal\":{\"name\":\"European Journal of Heart Failure\",\"volume\":\"80 1\",\"pages\":\"\"},\"PeriodicalIF\":16.9000,\"publicationDate\":\"2024-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Heart Failure\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/ejhf.3526\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Heart Failure","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ejhf.3526","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
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摘要

目前,美国和欧洲的心力衰竭(HF)指南都建议在急性心力衰竭(AHF)住院期间启动和优化指南指导的药物治疗(GDMT),其中包括肾素-血管紧张素系统(RAS)抑制剂、β-受体阻滞剂、矿物质皮质激素受体拮抗剂(MRA)和钠-葡萄糖共转运体 2(SGLT2)抑制剂。1-3 在之前的临床试验中发现,与使用标准 RAS 抑制剂治疗 8 周相比,在需要住院治疗的急性心力衰竭患者病情稳定后及早开始使用沙库比曲利/缬沙坦(Sac/Val)能更有效地降低 N 端前 B 型钠尿肽(NT-proBNP)浓度。然而,由于这些试验和另一项评估 GDMT 强化和快速升级的 AHF 试验只纳入了极少数接受 SGLT2 抑制剂治疗的患者,4、5 目前尚不清楚在这类患者中,早期 Sac/Val 启动对 NT-proBNP 浓度的治疗效果是否会因 GDMT 的联合状态而有所不同。在最近的 "入院心力衰竭恶化患者的血管紧张素-奈普利酶抑制方案"(PREMIER)研究(NCT05164653)6 中,与使用血管紧张素转换酶抑制剂或血管紧张素受体阻滞剂(ACEI/ARB)相比,在日本入院的 AHF 患者中,院内开始使用 Sac/Val 也会在 8 周内促使 NT-proBNP 浓度降低更多。在该研究中,除 RAS 抑制剂外,单个 GDMT 的背景使用情况比之前的研究更为频繁。4 作为 PREMIER 研究的一项事后二次分析,我们在此根据 GDMT 的联合使用情况研究了 NT-proBNP 的反应。PREMIER 研究是一项由研究者发起的多中心、前瞻性、随机对照、开放标签、盲法终点设计的研究,研究对象包括发生 AHF 事件后血流动力学稳定的日本住院患者,无论其左心室射血分数 (LVEF) 状况如何,也无论其为急性新发或失代偿慢性 HF。接受标准 ACEI/ARB 治疗的研究参与者在入院 7 天内被分配接受 Sac/Val 转换或持续 ACEI/ARB 治疗 8 周。研究方案获得了各研究机构伦理委员会的批准,并在入组前获得了个人知情同意。研究参与者根据基线(第0周)时合并使用的背景广东快乐十分(不包括研究药物)进行了细分。使用三种背景 GDMT(β-受体阻滞剂、MRA 和 SGLT2 抑制剂)的患者被归类为四重(三种 GDMT 和研究药物)高频治疗接受者。相比之下,使用两种或两种以下背景 GDMT 和研究药物的患者被归类为非四重高血压治疗接受者。NT-proBNP浓度的分析方法与主要分析类似,6 采用重复测量混合效应模型,其中包括治疗与 GDMT 状态之间的交互项,并根据基线 NT-proBNP 水平和其他治疗组差异较大的变量(标准化平均差异为 0.200)进行调整。在全部分析集(n = 376;Sac/Val,n = 183;ACEI/ARB,n = 193)6 中,188 名患者(Sac/Val,n = 91;ACEI/ARB,n = 97)接受了四联高频治疗,188 名患者(Sac/Val,n = 92;ACEI/ARB,n = 96)接受了非四联高频治疗。根据 GDMT 状态划分的患者背景特征见表 1。与非四联接受者相比,四联接受者更年轻,有更多的新发 HF,LVEF 更低。在四联受者中,第 8 周时,NT-proBNP 浓度的几何平均与基线值相比,Sac/Val 组为 -54%(95% 置信区间 [CI],-61% 至 -45%),ACEI/ARB 组为 -37%(95% 置信区间 [CI],-47% 至 -25%);与变化(Sac/Val vs. ACEI/ARB)的组比为 0.78(95% 置信区间 [CI],0.62 至 0.98;P = 0.034)。在非四联接受者中,Sac/Val 组的降幅为 -35%(95% CI,-45% 至 -22%),ACEI/ARB 组的降幅为 -26%(95% CI,-38% 至 -12%);组间比值为 0.87(95% CI,0.69 至 1.09;P = 0.232)(图 1)。在针对背景 LVEF &lt;40%亚组的独家分析中,情况类似(四联受者的组间比值为 0.62 [95% CI, 0.47 to 0.83; p = 0.001])(随机化时的平均 LVEF 为 27.7 ± 6.4%),非四联受者(随机化时的平均 LVEF 为 28.9 ± 6.0%)的组间比值为 0.77 (95% CI, 0.54 to 1.09; p = 0.140)(图 1)。根据基线时指南指导的药物治疗状态划分的研究患者背景特征变量四联 GDMT 受者非四联 GDMT 受者Sac/Val(n = 91)ACEI/ARB(n = 97)SMDSac/Val(n = 92)ACEI/ARB(n = 96)SMDA年龄,岁68.6 ± 13.371.4 ± 12.90.20877.4 ± 10.375.9 ± 11.50.132男性性别66 (72.5)75 (77.3)0.11157 (62.0)58 (60.4)0.032收缩压,mmHg129.1 ± 17.6126.7 ± 18.90.132133. 8±21.3128.1±18.40.289eGFR,ml/min/1.73 m255.6±17.354.1±13.60.10151.0±12.653.1±15.40.151De novo HF54 (59.3)63 (64.9)0.11648 (52.2)44 (45.8)0.127LVEF at randomization, %34.9±13.435.2±12.60.02144.1±16.144.7 ± 16.20.038&lt;40%61 (67.0)65 (67.0)0.00041 (44.6)40 (41.7)0.059NT-proBNP at baselinea, pg/ml1770 (1005-3475)1730 (890-3118)0.0381695(1030-2975)2185(1005-3660)0.048基线时使用其他 GDMTsβ-受体阻滞剂(+)、MRA(+)、SGLT2i(+)91(100)97(100)0.00000β 受体阻滞剂(+)、MRA(+)、SGLT2i(-) 0033 (35.9)35 (36.5)0.012β 受体阻滞剂(+)、MRA(-)、SGLT2i(+) 0010 (10.9)16 (16.7)0.169β 受体阻滞剂(-)、MRA(+)、SGLT2i(+)0013 (14.1)13 (13.5)0.017β 受体阻滞剂(+)、MRA(-)、SGLT2i(-)0022 (23.9)17 (17.7)0.153β 受体阻滞剂 (-)、MRA (+)、SGLT2i (-)009 (9.8)8 (8.3)0.051β 受体阻滞剂 (-)、MRA (-)、SGLT2i (+)001 (1.1)4 (4.2)0.193β 受体阻滞剂(-)、MRA(-)、SGLT2i(-)004 (4.3)3 (3.1)0.065 数值以均数±标准差、n(%)或中位数(四分位距)表示。ACEI,血管紧张素转换酶抑制剂;ARB,血管紧张素受体阻滞剂;eGFR,估计肾小球滤过率;GDMT,指南指导的医疗疗法;HF,心力衰竭;LVEF,左心室射血分数;MRA:矿皮质激素受体拮抗剂;NT-proBNP:N-末端前 B 型钠尿肽;Sac/Val:沙库比特利/缬沙坦;SGLT2i:钠-葡萄糖共转运体 2 抑制剂;SMD:标准化平均差。a NT-proBNP 的 SMD 按对数标度计算。图 1在图形浏览器中打开PowerPoint与基线值相比,第 8 周 N 端前 B 型钠尿肽(NT-proBNP)浓度的几何平均变化百分比及其组间比率(沙库比特利/缬沙坦 [Sac/Val] vs. 血管紧张素转换酶 2 抑制剂 [SGLT2i])。血管紧张素转换酶抑制剂/血管紧张素受体阻滞剂[ACEI/ARB]),按总体(左图)和背景左室射血分数(LVEF) &lt;40%(右图)的四联和非四联指南指导的药物治疗接受者进行分层。治疗组间比较根据年龄和基线收缩压进行了进一步调整,其标准化均值差异大于 0.200。CI,置信区间。PREMIER 研究二次分析的一个重要发现是,相对于 ACEI/ARB 而言,Sac/Val 对 AHF 患者 NT-proBNP 降低的治疗效果在四联受者中可能更为明显,尽管 GDMT 亚组之间没有明显的统计学异质性(pinteraction = 0.505)。在这种情况下,四联疗法受试者的背景 LVEF 低于非四联疗法受试者。4、6 因此,我们认为我们的发现是由于四联疗法接受者中 LVEF 较低的参与者比例较大。然而,在对背景 LVEF 为 40% 的患者进行的专门分析中,四联疗法接受者对 Sac/Val 治疗的 NT-proBNP 反应仍然明显。考虑到一些局限性,我们的研究结果应被解释为指示性的,但不能作为确切的证据。这是一项来自随机PREMIER研究的事后探索性分析,该研究并非专门用于评估Sac/Val的治疗效果因GDMT基线组合状态而产生的差异。亚分类患者的数量相对较少,这降低了检测差异的统计能力。此外,该分析仅用于评估 PREMIER 研究的原始主要终点,而 GDMT 的实施以及其他临床混杂因素可能会部分影响研究干预对终点的影响。总之,我们的研究结果表明,相对于以 ACEI/ARB 为基础的使用,以 Sac/Val 为基础的 GDMT 全组合使用在降低 AHF 发作后血流动力学稳定患者的 NT-proBNP 浓度方面具有增效作用。我们有必要开展进一步的研究,以确定在 AHF 患者中实施当代 GDMT 的优化临床策略。
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Angiotensin receptor–neprilysin inhibition and combination use of guideline-directed medical therapies in acute heart failure

Both American and European heart failure (HF) guidelines currently recommend initiation and optimization of guideline-directed medical therapy (GDMT), which is composed of renin–angiotensin system (RAS) inhibitors, β-blocker, mineralocorticoid receptor antagonist (MRA), and sodium–glucose cotransporter 2 (SGLT2) inhibitor, during the hospitalization for acute HF (AHF).1-3 In previous clinical trials, it was found that initiation of sacubitril/valsartan (Sac/Val) early in stabilized patients after an AHF episode requiring hospitalization resulted in a greater reduction in N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentration than the use of standard RAS inhibitors over 8 weeks of therapy.4 However, since those trials and another AHF trial assessing intensive and rapid up-titration of GDMT included few patients being treated by SGLT2 inhibitors,4, 5 it is currently unclear whether the treatment effect of early Sac/Val initiation on NT-proBNP concentration differs according to the combination status of GDMT in this patient population.

In the recent Program Angiotensin–Neprilysin Inhibition in Admitted Patients with Worsening Heart Failure (PREMIER) study (NCT05164653),6 in-hospital initiation of Sac/Val, compared with the use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (ACEI/ARB), also triggered a greater NT-proBNP concentration reduction over 8 weeks in Japanese patients admitted with AHF. In that study, background usage of individual GDMT other than RAS inhibitors was more frequent than in previous studies.4 We herein examined the NT-proBNP response according to the combination status of GDMT usage as a post hoc secondary analysis of the PREMIER study.6

The PREMIER study was an investigator-initiated, multicentre, prospective, randomized controlled, open-label, blinded-endpoint design that included haemodynamically stabilized Japanese inpatients after an AHF event, regardless of left ventricular ejection fraction (LVEF) status and acute de novo or decompensated chronic HF. The study participants on standard ACEI/ARB therapy were allocated within 7 days of an index hospitalization to receive either switched Sac/Val or continued ACEI/ARB therapy for 8 weeks. The study protocol was approved by the ethics committee of each site and individual informed consent was obtained before study entry.

Study participants were sub-classified according to the combined use of background GDMT, excluding the study drugs, at baseline (week 0). Patients who were on three background GDMT (β-blocker, MRA, and SGLT2 inhibitor) were categorized into quadruple (three GDMT and study drug) HF therapy recipients. In contrast, patients, who were on two or fewer background GDMT plus study drugs, were categorized into non-quadruple HF therapy recipients. The NT-proBNP concentration was analysed in a manner similar to the primary analysis,6 using a mixed-effects model for repeated measurements that included an interaction term between treatment and GDMT status, adjusted by baseline NT-proBNP levels and other variables with a large treatment-group difference (a standardized mean difference >0.200).

Among the full analysis set (n = 376; Sac/Val, n = 183; ACEI/ARB, n = 193),6 188 patients (Sac/Val, n = 91; ACEI/ARB, n = 97) received quadruple HF therapy and 188 patients (Sac/Val, n = 92; ACEI/ARB, n = 96) received non-quadruple HF therapy. The background characteristics of the patients according to their GDMT status are shown in Table 1. Quadruple recipients were younger, had more de novo HF, and had a lower LVEF than non-quadruple recipients. In the quadruple recipients, percent reductions in the geometric means of NT-proBNP concentration at week 8, compared to the baseline value, were − 54% (95% confidence interval [CI], −61% to −45%) for the Sac/Val group and − 37% (95% CI, −47% to −25%) for the ACEI/ARB group; a group ratio with change (Sac/Val vs. ACEI/ARB) was 0.78 (95% CI, 0.62 to 0.98; p = 0.034). In the non-quadruple recipients, the reductions were −35% (95% CI, −45% to −22%) for the Sac/Val group and −26% (95% CI, −38% to −12%) for the ACEI/ARB group; the group ratio was 0.87 (95% CI, 0.69 to 1.09; p = 0.232) (Figure 1). This was similar in the exclusive analysis targeted at subgroup with background LVEF <40% (group ratio 0.62 [95% CI, 0.47 to 0.83; p = 0.001] for the quadruple recipients) (mean LVEF at randomization 27.7 ± 6.4%) and 0.77 (95% CI, 0.54 to 1.09; p = 0.140) for the non-quadruple recipients (mean LVEF at randomization 28.9 ± 6.0%) (Figure 1).

Table 1. Background characteristics of study patients according to guideline-directed medical therapy status at baseline
Variable Quadruple GDMT recipients Non-quadruple GDMT recipients
Sac/Val (n = 91) ACEI/ARB (n = 97) SMD Sac/Val (n = 92) ACEI/ARB (n = 96) SMD
Age, years 68.6 ± 13.3 71.4 ± 12.9 0.208 77.4 ± 10.3 75.9 ± 11.5 0.132
Male sex 66 (72.5) 75 (77.3) 0.111 57 (62.0) 58 (60.4) 0.032
Systolic blood pressure, mmHg 129.1 ± 17.6 126.7 ± 18.9 0.132 133.8 ± 21.3 128.1 ± 18.4 0.289
eGFR, ml/min/1.73 m2 55.6 ± 17.3 54.1 ± 13.6 0.101 51.0 ± 12.6 53.1 ± 15.4 0.151
De novo HF 54 (59.3) 63 (64.9) 0.116 48 (52.2) 44 (45.8) 0.127
LVEF at randomization, % 34.9 ± 13.4 35.2 ± 12.6 0.021 44.1 ± 16.1 44.7 ± 16.2 0.038
<40% 61 (67.0) 65 (67.0) 0.000 41 (44.6) 40 (41.7) 0.059
NT-proBNP at baselinea, pg/ml 1770 (1005–3475) 1730 (890–3118) 0.038 1695 (1030–2975) 2185 (1005–3660) 0.048
Use of other GDMTs at baseline
β-blocker (+), MRA (+), SGLT2i (+) 91 (100) 97 (100) 0.000 0 0
β-blocker (+), MRA (+), SGLT2i (–) 0 0 33 (35.9) 35 (36.5) 0.012
β-blocker (+), MRA (–), SGLT2i (+) 0 0 10 (10.9) 16 (16.7) 0.169
β-blocker (–), MRA (+), SGLT2i (+) 0 0 13 (14.1) 13 (13.5) 0.017
β-blocker (+), MRA (–), SGLT2i (–) 0 0 22 (23.9) 17 (17.7) 0.153
β-blocker (–), MRA (+), SGLT2i (–) 0 0 9 (9.8) 8 (8.3) 0.051
β-blocker (–), MRA (–), SGLT2i (+) 0 0 1 (1.1) 4 (4.2) 0.193
β-blocker (–), MRA (–), SGLT2i (–) 0 0 4 (4.3) 3 (3.1) 0.065
  • Values are presented as mean ± standard deviation, n (%), or median (interquartile range).
  • ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; eGFR, estimated glomerular filtration rate; GDMT, guideline-directed medical therapy; HF, heart failure; LVEF, left ventricular ejection fraction; MRA, mineralocorticoid receptor antagonist; NT-proBNP, N-terminal pro-B-type natriuretic peptide; Sac/Val, sacubitril/valsartan; SGLT2i, sodium–glucose cotransporter 2 inhibitor; SMD, standardized mean difference.
  • a SMD for NT-proBNP was calculated on the log scale.
Details are in the caption following the image
Figure 1
Open in figure viewerPowerPoint
Percent changes in the geometric means of N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentration at week 8, compared to the baseline value, and their group ratios (sacubitril/valsartan [Sac/Val] vs. angiotensin-converting enzyme inhibitor/angiotensin receptor blocker [ACEI/ARB]), stratified by the quadruple and non-quadruple guideline-directed medical therapy recipients in the overall (left panel) and subgroup with background left ventricular ejection fraction (LVEF) <40% (right panel). Inter-treatment group comparisons were further adjusted by age and systolic blood pressure at baseline, whose standardized mean differences were greater than 0.200. CI, confidence interval.

A key finding of this secondary analysis of the PREMIER study was that the treatment effect of Sac/Val, relative to ACEI/ARB, on NT-proBNP reduction in patients admitted for AHF was potentially more evident in quadruple recipients, although there was no clear statistical heterogeneity between the GDMT subgroups (pinteraction = 0.505). In this context, the background LVEF was lower in quadruple therapy recipients than in non-quadruple therapy recipients. Studies have shown that the beneficial effect of Sac/Val therapy after AHF was generally evident in patients with a lower LVEF spectrum.4, 6 Hence, we assumed that our finding was due to the large proportion of participants with lower LVEF in the quadruple therapy recipients. However, in the exclusive analysis of patients with a background LVEF <40%, the NT-proBNP response to Sac/Val therapy was still evident in quadruple recipients. This may enhance the clinical significance of the early implementation of Sac/Val-based quadruple GDMTs after an AHF episode, especially in patients with a lower LVEF.

Our findings should be interpreted as indicative, considering several limitations but not as definitive proof of the evidence. This was a post hoc exploratory analysis from a randomized PREMIER study, which was not specifically designed to assess the difference in the treatment effect of Sac/Val according to the baseline combination status of GDMT. The relatively small number of subclassified patients reduced the statistical power to detect the differences. Additionally, this analysis was performed only to evaluate the original primary endpoint of the PREMIER study, and the implementation of GDMT along with other clinical confounding factors may have partially affected the impact of the study interventions on the endpoint. Finally, we did not consider the doses of individual GDMT and their changes, due to limited information after initiating the study drugs.

Collectively, our findings suggest that the Sac/Val-based full-combination use of GDMT, relative to ACEI/ARB-based use, was incremental in reducing NT-proBNP concentrations in haemodynamically stabilized patients after an AHF episode. Further studies are warranted to establish an optimized clinical strategy for contemporary GDMT implementation in patients with AHF.

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来源期刊
European Journal of Heart Failure
European Journal of Heart Failure 医学-心血管系统
CiteScore
27.30
自引率
11.50%
发文量
365
审稿时长
1 months
期刊介绍: European Journal of Heart Failure is an international journal dedicated to advancing knowledge in the field of heart failure management. The journal publishes reviews and editorials aimed at improving understanding, prevention, investigation, and treatment of heart failure. It covers various disciplines such as molecular and cellular biology, pathology, physiology, electrophysiology, pharmacology, clinical sciences, social sciences, and population sciences. The journal welcomes submissions of manuscripts on basic, clinical, and population sciences, as well as original contributions on nursing, care of the elderly, primary care, health economics, and other related specialist fields. It is published monthly and has a readership that includes cardiologists, emergency room physicians, intensivists, internists, general physicians, cardiac nurses, diabetologists, epidemiologists, basic scientists focusing on cardiovascular research, and those working in rehabilitation. The journal is abstracted and indexed in various databases such as Academic Search, Embase, MEDLINE/PubMed, and Science Citation Index.
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