Giancarlo Piaggi , Mara Paneroni , Roberto Maestri , Elisabetta Salvioni , Ugo Corrà , Angelo Caporotondi , Simonetta Scalvini , Piergiuseppe Agostoni , Maria Teresa La Rovere
{"title":"根据心衰患者的六分钟步行距离估算心肺运动测试期间的最大工作率","authors":"Giancarlo Piaggi , Mara Paneroni , Roberto Maestri , Elisabetta Salvioni , Ugo Corrà , Angelo Caporotondi , Simonetta Scalvini , Piergiuseppe Agostoni , Maria Teresa La Rovere","doi":"10.1016/j.ijcrp.2024.200247","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Exercise is recommended for patients with chronic heart failure (CHF) and its intensity is usually set as a percentage of the maximal work rate (MWR) during cardiopulmonary exercise testing (CPX) or a symptom-limited incremental test (SLIT). As these tests are not always available in cardiac rehabilitation due to logistic/cost constraints, we aimed to develop a predictive model to estimate MWR at CPX (estMWR@CPX) in CHF patients using anthropometric and clinical measures and the 6-min walk test (6 MWT), the most widely used exercise field test.</p></div><div><h3>Methods</h3><p>This is a multicentre cross-sectional retrospective study in a cardiac rehabilitation setting. Six hundred patients with HF in New York Heart Association (NYHA) functional class I-III underwent both CPX and 6 MWT and, <strong>t</strong>hrough multivariable linear regression analysis, we defined several predictive models to define estMWR@CPX.</p></div><div><h3>Results</h3><p>The best model included 6 MWT, sex, age, weight, NYHA class, left ventricular ejection fraction (LVEF), smoking status and chronic obstructive pulmonary disease COPD (adjusted R<sup>2</sup> = 0.55; 95% LoA −39 to 33 W). When LVEF was excluded as a predictor, the resulting model performed only slightly worse (adjusted R<sup>2</sup> = 0.54; 95% LoA −42 to 34 W). Only in 34% of cases was the percentage difference between estMWR@CPX and real MWR@CPX <10% in absolute value. EstMWR@CPX tended to overestimate low values and underestimate high values of true MWR@CPX.</p></div><div><h3>Conclusions</h3><p>Our results showed a lack of accuracy in the predictive model evaluated; therefore, for an accurate prescription of cycle-ergometer exercise training, it is necessary to assess MWR by CPX or SLIT.</p></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"21 ","pages":"Article 200247"},"PeriodicalIF":1.9000,"publicationDate":"2024-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772487524000126/pdfft?md5=f079213dedd81da85e1843c21b3bb4df&pid=1-s2.0-S2772487524000126-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Estimating maximum work rate during cardiopulmonary exercise testing from the six-minute walk distance in patients with heart failure\",\"authors\":\"Giancarlo Piaggi , Mara Paneroni , Roberto Maestri , Elisabetta Salvioni , Ugo Corrà , Angelo Caporotondi , Simonetta Scalvini , Piergiuseppe Agostoni , Maria Teresa La Rovere\",\"doi\":\"10.1016/j.ijcrp.2024.200247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Exercise is recommended for patients with chronic heart failure (CHF) and its intensity is usually set as a percentage of the maximal work rate (MWR) during cardiopulmonary exercise testing (CPX) or a symptom-limited incremental test (SLIT). As these tests are not always available in cardiac rehabilitation due to logistic/cost constraints, we aimed to develop a predictive model to estimate MWR at CPX (estMWR@CPX) in CHF patients using anthropometric and clinical measures and the 6-min walk test (6 MWT), the most widely used exercise field test.</p></div><div><h3>Methods</h3><p>This is a multicentre cross-sectional retrospective study in a cardiac rehabilitation setting. Six hundred patients with HF in New York Heart Association (NYHA) functional class I-III underwent both CPX and 6 MWT and, <strong>t</strong>hrough multivariable linear regression analysis, we defined several predictive models to define estMWR@CPX.</p></div><div><h3>Results</h3><p>The best model included 6 MWT, sex, age, weight, NYHA class, left ventricular ejection fraction (LVEF), smoking status and chronic obstructive pulmonary disease COPD (adjusted R<sup>2</sup> = 0.55; 95% LoA −39 to 33 W). When LVEF was excluded as a predictor, the resulting model performed only slightly worse (adjusted R<sup>2</sup> = 0.54; 95% LoA −42 to 34 W). Only in 34% of cases was the percentage difference between estMWR@CPX and real MWR@CPX <10% in absolute value. EstMWR@CPX tended to overestimate low values and underestimate high values of true MWR@CPX.</p></div><div><h3>Conclusions</h3><p>Our results showed a lack of accuracy in the predictive model evaluated; therefore, for an accurate prescription of cycle-ergometer exercise training, it is necessary to assess MWR by CPX or SLIT.</p></div>\",\"PeriodicalId\":29726,\"journal\":{\"name\":\"International Journal of Cardiology Cardiovascular Risk and Prevention\",\"volume\":\"21 \",\"pages\":\"Article 200247\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-02-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772487524000126/pdfft?md5=f079213dedd81da85e1843c21b3bb4df&pid=1-s2.0-S2772487524000126-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Cardiology Cardiovascular Risk and Prevention\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772487524000126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PERIPHERAL VASCULAR DISEASE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cardiology Cardiovascular Risk and Prevention","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772487524000126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
Estimating maximum work rate during cardiopulmonary exercise testing from the six-minute walk distance in patients with heart failure
Background
Exercise is recommended for patients with chronic heart failure (CHF) and its intensity is usually set as a percentage of the maximal work rate (MWR) during cardiopulmonary exercise testing (CPX) or a symptom-limited incremental test (SLIT). As these tests are not always available in cardiac rehabilitation due to logistic/cost constraints, we aimed to develop a predictive model to estimate MWR at CPX (estMWR@CPX) in CHF patients using anthropometric and clinical measures and the 6-min walk test (6 MWT), the most widely used exercise field test.
Methods
This is a multicentre cross-sectional retrospective study in a cardiac rehabilitation setting. Six hundred patients with HF in New York Heart Association (NYHA) functional class I-III underwent both CPX and 6 MWT and, through multivariable linear regression analysis, we defined several predictive models to define estMWR@CPX.
Results
The best model included 6 MWT, sex, age, weight, NYHA class, left ventricular ejection fraction (LVEF), smoking status and chronic obstructive pulmonary disease COPD (adjusted R2 = 0.55; 95% LoA −39 to 33 W). When LVEF was excluded as a predictor, the resulting model performed only slightly worse (adjusted R2 = 0.54; 95% LoA −42 to 34 W). Only in 34% of cases was the percentage difference between estMWR@CPX and real MWR@CPX <10% in absolute value. EstMWR@CPX tended to overestimate low values and underestimate high values of true MWR@CPX.
Conclusions
Our results showed a lack of accuracy in the predictive model evaluated; therefore, for an accurate prescription of cycle-ergometer exercise training, it is necessary to assess MWR by CPX or SLIT.