Haroon Minhas, Christopher Morton, Martin Shaw, Ben Shelley
{"title":"健康志愿者在不同模式和强度的亚极限运动中心率恢复测量的再现性:健康志愿者研究","authors":"Haroon Minhas, Christopher Morton, Martin Shaw, Ben Shelley","doi":"10.1007/s44254-023-00042-2","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>Submaximal exercise tests (SET) are an easier to conduct and less physically demanding alternative to cardiopulmonary exercise testing for assessment of pre-operative fitness. Assessment of heart rate recovery (HRR) following SETs offers an easily obtained marker of vagal reactivation and sympathetic withdrawal and therefore provides an indication of an individual’s fitness. This study sought to assess the reproducibility of HRR across different workloads and modalities of SET.</p><h3>Methods</h3><p>Thirty-four healthy volunteers were recruited to undergo two SETs at 40% and 60% of their predicted maximal workload. A second group of thirty-one healthy volunteers were recruited to undergo three SETs of differing modalities; Cycle ergometry, Step and Shuttle Walk tests. HRR was quantified using the conventional indices HRR1 and HRR2 (calculated as heart rate (HR) on exercise cessation minus HR at 1 and 2 min of rest) and a novel area under the HRR vs. time curve (HRR<sub>AUC</sub>) method. Reproducibility of results was assessed using intra-class correlation coefficient (ICC) and limits of agreements.</p><h3>Results</h3><p>The results showed that HRR1 and HRR2 were poorly reproducible across differing workloads and exercise modalities (ICC < 0.45 for all comparisons) whereas HRR<sub>AUC</sub> proved to be at least moderately reproducible (ICC > 0.52 for all comparisons).</p><h3>Conclusions</h3><p>These results suggest that HRR<sub>AUC</sub> may be a superior way of quantifying HRR following SETs, adding objectivity to SET results. Quantifying HRR<sub>AUC</sub> could prove to have useful clinical applications for pre-operative risk assessment, assessing fitness to undergo treatment and monitoring disease progression.</p></div>","PeriodicalId":100082,"journal":{"name":"Anesthesiology and Perioperative Science","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s44254-023-00042-2.pdf","citationCount":"0","resultStr":"{\"title\":\"Reproducibility of heart rate recovery measures across differing modalities and intensities of submaximal exercise in healthy volunteers: A healthy volunteer study\",\"authors\":\"Haroon Minhas, Christopher Morton, Martin Shaw, Ben Shelley\",\"doi\":\"10.1007/s44254-023-00042-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>Submaximal exercise tests (SET) are an easier to conduct and less physically demanding alternative to cardiopulmonary exercise testing for assessment of pre-operative fitness. Assessment of heart rate recovery (HRR) following SETs offers an easily obtained marker of vagal reactivation and sympathetic withdrawal and therefore provides an indication of an individual’s fitness. This study sought to assess the reproducibility of HRR across different workloads and modalities of SET.</p><h3>Methods</h3><p>Thirty-four healthy volunteers were recruited to undergo two SETs at 40% and 60% of their predicted maximal workload. A second group of thirty-one healthy volunteers were recruited to undergo three SETs of differing modalities; Cycle ergometry, Step and Shuttle Walk tests. HRR was quantified using the conventional indices HRR1 and HRR2 (calculated as heart rate (HR) on exercise cessation minus HR at 1 and 2 min of rest) and a novel area under the HRR vs. time curve (HRR<sub>AUC</sub>) method. Reproducibility of results was assessed using intra-class correlation coefficient (ICC) and limits of agreements.</p><h3>Results</h3><p>The results showed that HRR1 and HRR2 were poorly reproducible across differing workloads and exercise modalities (ICC < 0.45 for all comparisons) whereas HRR<sub>AUC</sub> proved to be at least moderately reproducible (ICC > 0.52 for all comparisons).</p><h3>Conclusions</h3><p>These results suggest that HRR<sub>AUC</sub> may be a superior way of quantifying HRR following SETs, adding objectivity to SET results. Quantifying HRR<sub>AUC</sub> could prove to have useful clinical applications for pre-operative risk assessment, assessing fitness to undergo treatment and monitoring disease progression.</p></div>\",\"PeriodicalId\":100082,\"journal\":{\"name\":\"Anesthesiology and Perioperative Science\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s44254-023-00042-2.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anesthesiology and Perioperative Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s44254-023-00042-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anesthesiology and Perioperative Science","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s44254-023-00042-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reproducibility of heart rate recovery measures across differing modalities and intensities of submaximal exercise in healthy volunteers: A healthy volunteer study
Purpose
Submaximal exercise tests (SET) are an easier to conduct and less physically demanding alternative to cardiopulmonary exercise testing for assessment of pre-operative fitness. Assessment of heart rate recovery (HRR) following SETs offers an easily obtained marker of vagal reactivation and sympathetic withdrawal and therefore provides an indication of an individual’s fitness. This study sought to assess the reproducibility of HRR across different workloads and modalities of SET.
Methods
Thirty-four healthy volunteers were recruited to undergo two SETs at 40% and 60% of their predicted maximal workload. A second group of thirty-one healthy volunteers were recruited to undergo three SETs of differing modalities; Cycle ergometry, Step and Shuttle Walk tests. HRR was quantified using the conventional indices HRR1 and HRR2 (calculated as heart rate (HR) on exercise cessation minus HR at 1 and 2 min of rest) and a novel area under the HRR vs. time curve (HRRAUC) method. Reproducibility of results was assessed using intra-class correlation coefficient (ICC) and limits of agreements.
Results
The results showed that HRR1 and HRR2 were poorly reproducible across differing workloads and exercise modalities (ICC < 0.45 for all comparisons) whereas HRRAUC proved to be at least moderately reproducible (ICC > 0.52 for all comparisons).
Conclusions
These results suggest that HRRAUC may be a superior way of quantifying HRR following SETs, adding objectivity to SET results. Quantifying HRRAUC could prove to have useful clinical applications for pre-operative risk assessment, assessing fitness to undergo treatment and monitoring disease progression.