Prognostic Value of the MAGGIC Score, H2FPEF Score, and HFA-PEFF Algorithm in Patients with Exertional Dyspnea and the Incremental Value of Exercise Echocardiography
The strategies for improving outcomes in heart failure with preserved ejection fraction (HFpEF) are insufficiently defined, which affects optimal patient management. The aim of the study was to compare the prognostic value of the previously validated Meta-Analysis Global Group in Chronic Heart Failu...
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Veröffentlicht in: | Journal of the American Society of Echocardiography 2022-09, Vol.35 (9), p.966-975 |
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creator | Przewlocka-Kosmala, Monika Butler, Javed Donal, Erwan Ponikowski, Piotr Kosmala, Wojciech |
description | The strategies for improving outcomes in heart failure with preserved ejection fraction (HFpEF) are insufficiently defined, which affects optimal patient management. The aim of the study was to compare the prognostic value of the previously validated Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score with 2 approaches primarily dedicated to diagnosing HFpEF: the H2FPEF score (heavy, 2 or more hypertensive drugs, atrial fibrillation, pulmonary hypertension [pulmonary artery systolic pressure >35 mm Hg], elder age >60, elevated filling pressures [E/e' > 9]) and the HFA-PEFF algorithm (Heart Failure Association diagnostic algorithm—pretest assessment; echocardiography and natriuretic peptide score; functional testing; final etiology) in patients with exertional dyspnea categorized as HFpEF.
Clinical and biochemical variables and echocardiographic resting and exercise data from 201 enrollees were retrospectively analyzed. Participants were followed for 48 (24-60) months for HF hospitalization and cardiovascular death.
Seventy-four patients (36.8%) met the study outcome. In sequential Cox analysis, the addition of MAGGIC risk score, H2FPEF score, and HFA-PEFF step 2 (including only resting echocardiographic evaluation) and step 3 (including also exercise diastolic data) algorithms to the base model comprising brain natriuretic peptide and peak oxygen uptake improved the predictive power for the study endpoint. Harrell's c statistic showed a greater predictive ability for the HFA-PEFF step 3 algorithm than for each of the other scores (c index 0.715 vs 0.637, 0.644, and 0.638 for MAGGIC, H2FPEF, and HFA-PEFF step 2, respectively; all P |
doi_str_mv | 10.1016/j.echo.2022.05.006 |
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Clinical and biochemical variables and echocardiographic resting and exercise data from 201 enrollees were retrospectively analyzed. Participants were followed for 48 (24-60) months for HF hospitalization and cardiovascular death.
Seventy-four patients (36.8%) met the study outcome. In sequential Cox analysis, the addition of MAGGIC risk score, H2FPEF score, and HFA-PEFF step 2 (including only resting echocardiographic evaluation) and step 3 (including also exercise diastolic data) algorithms to the base model comprising brain natriuretic peptide and peak oxygen uptake improved the predictive power for the study endpoint. Harrell's c statistic showed a greater predictive ability for the HFA-PEFF step 3 algorithm than for each of the other scores (c index 0.715 vs 0.637, 0.644, and 0.638 for MAGGIC, H2FPEF, and HFA-PEFF step 2, respectively; all P < .05). No significant differences were found for other between-score comparisons.
In patients with exertional dyspnea and a possible HFpEF, the H2FPEF score and HFA-PEFF algorithm limited to resting echocardiography provide prognostic value comparable to the MAGGIC risk score. Extending the HFA-PEFF algorithm with exercise diastolic data is associated with a significant improvement in risk stratification.
•Prognostic strategies in HFpEF are insufficiently defined.•Diagnostic scores H2FPEF and HFA-PEFF may facilitate risk stratification.•When limited to resting data, both scores are prognostically comparable to MAGGIC score.•Extending HFA-PEFF score with exercise diastolic data improves outcome prediction.</description><identifier>ISSN: 0894-7317</identifier><identifier>EISSN: 1097-6795</identifier><identifier>DOI: 10.1016/j.echo.2022.05.006</identifier><language>eng</language><publisher>Elsevier Inc</publisher><subject>Exercise echocardiography ; Exertional dyspnea ; Heart failure with preserved ejection fraction ; Risk stratification</subject><ispartof>Journal of the American Society of Echocardiography, 2022-09, Vol.35 (9), p.966-975</ispartof><rights>2022 American Society of Echocardiography</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c377t-db9dabdb280c3f81130c300e1f3fa6f147c437cb67c91c15852fae741d88dca03</citedby><cites>FETCH-LOGICAL-c377t-db9dabdb280c3f81130c300e1f3fa6f147c437cb67c91c15852fae741d88dca03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0894731722002541$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Przewlocka-Kosmala, Monika</creatorcontrib><creatorcontrib>Butler, Javed</creatorcontrib><creatorcontrib>Donal, Erwan</creatorcontrib><creatorcontrib>Ponikowski, Piotr</creatorcontrib><creatorcontrib>Kosmala, Wojciech</creatorcontrib><title>Prognostic Value of the MAGGIC Score, H2FPEF Score, and HFA-PEFF Algorithm in Patients with Exertional Dyspnea and the Incremental Value of Exercise Echocardiography</title><title>Journal of the American Society of Echocardiography</title><description>The strategies for improving outcomes in heart failure with preserved ejection fraction (HFpEF) are insufficiently defined, which affects optimal patient management. The aim of the study was to compare the prognostic value of the previously validated Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score with 2 approaches primarily dedicated to diagnosing HFpEF: the H2FPEF score (heavy, 2 or more hypertensive drugs, atrial fibrillation, pulmonary hypertension [pulmonary artery systolic pressure >35 mm Hg], elder age >60, elevated filling pressures [E/e' > 9]) and the HFA-PEFF algorithm (Heart Failure Association diagnostic algorithm—pretest assessment; echocardiography and natriuretic peptide score; functional testing; final etiology) in patients with exertional dyspnea categorized as HFpEF.
Clinical and biochemical variables and echocardiographic resting and exercise data from 201 enrollees were retrospectively analyzed. Participants were followed for 48 (24-60) months for HF hospitalization and cardiovascular death.
Seventy-four patients (36.8%) met the study outcome. In sequential Cox analysis, the addition of MAGGIC risk score, H2FPEF score, and HFA-PEFF step 2 (including only resting echocardiographic evaluation) and step 3 (including also exercise diastolic data) algorithms to the base model comprising brain natriuretic peptide and peak oxygen uptake improved the predictive power for the study endpoint. Harrell's c statistic showed a greater predictive ability for the HFA-PEFF step 3 algorithm than for each of the other scores (c index 0.715 vs 0.637, 0.644, and 0.638 for MAGGIC, H2FPEF, and HFA-PEFF step 2, respectively; all P < .05). No significant differences were found for other between-score comparisons.
In patients with exertional dyspnea and a possible HFpEF, the H2FPEF score and HFA-PEFF algorithm limited to resting echocardiography provide prognostic value comparable to the MAGGIC risk score. Extending the HFA-PEFF algorithm with exercise diastolic data is associated with a significant improvement in risk stratification.
•Prognostic strategies in HFpEF are insufficiently defined.•Diagnostic scores H2FPEF and HFA-PEFF may facilitate risk stratification.•When limited to resting data, both scores are prognostically comparable to MAGGIC score.•Extending HFA-PEFF score with exercise diastolic data improves outcome prediction.</description><subject>Exercise echocardiography</subject><subject>Exertional dyspnea</subject><subject>Heart failure with preserved ejection fraction</subject><subject>Risk stratification</subject><issn>0894-7317</issn><issn>1097-6795</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9UcGO0zAQtRArUXb5AU4-ciBhnDRxInGplma70iIq7cLVcseT1lUaF9sF-kH8Jw4FjpxGM_PezLx5jL0WkAsQ9bt9TrhzeQFFkUOVA9TP2ExAK7NattVzNoOmnWeyFPIFexnCHgCqBmDGfq69244uRIv8ix5OxF3P4474x8Xd3f0tf0Tn6S1fFd162f3N9Gj4qltkqdTxxbB13sbdgduRr3W0NMbAv6cKX_4gH60b9cA_nMNxJP2bOo2_H9HTIUFT79_eCY82EF8mMai9sW7r9XF3vmFXvR4CvfoTr9nnbvl0u8oePqUjFw8ZllLGzGxaozdmUzSAZd8IUaYIQKIve133Yi5xXkrc1BJbgaJqqqLXJOfCNI1BDeU1e3OZe_Tu64lCVAcbkIZBj-ROQRV13bRCQFknaHGBoncheOrV0duD9mclQE2eqL2aPFGTJwoqlTxJpPcXEiUR3yx5FTD9C8lYTxiVcfZ_9F-KmJWj</recordid><startdate>202209</startdate><enddate>202209</enddate><creator>Przewlocka-Kosmala, Monika</creator><creator>Butler, Javed</creator><creator>Donal, Erwan</creator><creator>Ponikowski, Piotr</creator><creator>Kosmala, Wojciech</creator><general>Elsevier Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202209</creationdate><title>Prognostic Value of the MAGGIC Score, H2FPEF Score, and HFA-PEFF Algorithm in Patients with Exertional Dyspnea and the Incremental Value of Exercise Echocardiography</title><author>Przewlocka-Kosmala, Monika ; Butler, Javed ; Donal, Erwan ; Ponikowski, Piotr ; Kosmala, Wojciech</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c377t-db9dabdb280c3f81130c300e1f3fa6f147c437cb67c91c15852fae741d88dca03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Exercise echocardiography</topic><topic>Exertional dyspnea</topic><topic>Heart failure with preserved ejection fraction</topic><topic>Risk stratification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Przewlocka-Kosmala, Monika</creatorcontrib><creatorcontrib>Butler, Javed</creatorcontrib><creatorcontrib>Donal, Erwan</creatorcontrib><creatorcontrib>Ponikowski, Piotr</creatorcontrib><creatorcontrib>Kosmala, Wojciech</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Society of Echocardiography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Przewlocka-Kosmala, Monika</au><au>Butler, Javed</au><au>Donal, Erwan</au><au>Ponikowski, Piotr</au><au>Kosmala, Wojciech</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic Value of the MAGGIC Score, H2FPEF Score, and HFA-PEFF Algorithm in Patients with Exertional Dyspnea and the Incremental Value of Exercise Echocardiography</atitle><jtitle>Journal of the American Society of Echocardiography</jtitle><date>2022-09</date><risdate>2022</risdate><volume>35</volume><issue>9</issue><spage>966</spage><epage>975</epage><pages>966-975</pages><issn>0894-7317</issn><eissn>1097-6795</eissn><abstract>The strategies for improving outcomes in heart failure with preserved ejection fraction (HFpEF) are insufficiently defined, which affects optimal patient management. The aim of the study was to compare the prognostic value of the previously validated Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score with 2 approaches primarily dedicated to diagnosing HFpEF: the H2FPEF score (heavy, 2 or more hypertensive drugs, atrial fibrillation, pulmonary hypertension [pulmonary artery systolic pressure >35 mm Hg], elder age >60, elevated filling pressures [E/e' > 9]) and the HFA-PEFF algorithm (Heart Failure Association diagnostic algorithm—pretest assessment; echocardiography and natriuretic peptide score; functional testing; final etiology) in patients with exertional dyspnea categorized as HFpEF.
Clinical and biochemical variables and echocardiographic resting and exercise data from 201 enrollees were retrospectively analyzed. Participants were followed for 48 (24-60) months for HF hospitalization and cardiovascular death.
Seventy-four patients (36.8%) met the study outcome. In sequential Cox analysis, the addition of MAGGIC risk score, H2FPEF score, and HFA-PEFF step 2 (including only resting echocardiographic evaluation) and step 3 (including also exercise diastolic data) algorithms to the base model comprising brain natriuretic peptide and peak oxygen uptake improved the predictive power for the study endpoint. Harrell's c statistic showed a greater predictive ability for the HFA-PEFF step 3 algorithm than for each of the other scores (c index 0.715 vs 0.637, 0.644, and 0.638 for MAGGIC, H2FPEF, and HFA-PEFF step 2, respectively; all P < .05). No significant differences were found for other between-score comparisons.
In patients with exertional dyspnea and a possible HFpEF, the H2FPEF score and HFA-PEFF algorithm limited to resting echocardiography provide prognostic value comparable to the MAGGIC risk score. Extending the HFA-PEFF algorithm with exercise diastolic data is associated with a significant improvement in risk stratification.
•Prognostic strategies in HFpEF are insufficiently defined.•Diagnostic scores H2FPEF and HFA-PEFF may facilitate risk stratification.•When limited to resting data, both scores are prognostically comparable to MAGGIC score.•Extending HFA-PEFF score with exercise diastolic data improves outcome prediction.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.echo.2022.05.006</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Exercise echocardiography Exertional dyspnea Heart failure with preserved ejection fraction Risk stratification |
title | Prognostic Value of the MAGGIC Score, H2FPEF Score, and HFA-PEFF Algorithm in Patients with Exertional Dyspnea and the Incremental Value of Exercise Echocardiography |
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