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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2022.841453</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Reliability and validity of sit-to-stand test protocols in patients with coronary artery disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Zheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1585151/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yan</surname> <given-names>Jianhua</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1753029/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Meng</surname> <given-names>Shu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Jiajia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1588817/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yu</surname> <given-names>Yi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Tingting</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tsang</surname> <given-names>Raymond C. C.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1610318/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>El-Ansary</surname> <given-names>Doa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Han</surname> <given-names>Jia</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1542711/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jones</surname> <given-names>Alice Y. M.</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1610193/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Sport Rehabilitation, School of Kinesiology, Shanghai University of Sport</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Cardiology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Physiotherapy, MacLehose Medical Rehabilitation Center, Hospital Authority</institution>, <addr-line>Hong Kong</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department Nursing and Allied Health, Swinburne University of Technology</institution>, <addr-line>Melbourne, VIC</addr-line>, <country>Australia</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Surgery, Melbourne Medical School, University of Melbourne</institution>, <addr-line>Melbourne, VIC</addr-line>, <country>Australia</country></aff>
<aff id="aff6"><sup>6</sup><institution>Department of Physiotherapy, College of Rehabilitation Sciences, Shanghai University of Medicine and Health Sciences</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Physiotherapy, School of Health and Rehabilitation Sciences, The University of Queensland</institution>, <addr-line>Brisbane, QLD</addr-line>, <country>Australia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Paolo Calabr&#x000F2;, University of Campania Luigi Vanvitelli, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Milo Alan Puhan, University of Zurich, Switzerland; Ilaria Cavallari, Policlinico Universitario Campus Bio-Medico, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jia Han <email>jia.han&#x00040;canberra.edu.au</email></corresp>
<corresp id="c002">Alice Y. M. Jones <email>a.jones15&#x00040;uq.edu.au</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Coronary Artery Disease, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work and share first authorship</p></fn></author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>841453</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>08</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Wang, Yan, Meng, Li, Yu, Zhang, Tsang, El-Ansary, Han and Jones.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wang, Yan, Meng, Li, Yu, Zhang, Tsang, El-Ansary, Han and Jones</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>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.</p></license> </permissions>
<abstract>
<sec>
<title>Background</title>
<p>Sit-To-Stand (STS) tests are reported as feasible alternatives for the assessment of functional fitness but the reliability of these tests in people with coronary artery disease (CAD) has not been reported. This study explored the test-retest reliability, convergent and known-groups validity of the five times, 30-sec and 1-min sit-to-stand test (FTSTS test, 30-s STS test and 1-min STS test respectively) in patients with CAD. The feasibility of applying these tests to distinguish the level of risk for cardiovascular events in CAD patients was also investigated.</p></sec>
<sec>
<title>Methods</title>
<p>Patients with stable CAD performed a 6MWT and 3 STS tests in random order on the same day. Receiver operating characteristic (ROC) curve analyses were conducted using STS test data to differentiate patients with low or high risk of cardiovascular events based on the risk level determined by distance covered in the 6MWT as &#x0003E; or &#x02264; 419 m. Thirty patients repeated the 3 STS tests on the following day.</p></sec>
<sec>
<title>Results</title>
<p>112 subjects with diagnoses of atherosclerosis or post-percutaneous coronary intervention, or post-acute myocardial infarction (post-AMI) participated in the validity analysis. All 3 STS tests demonstrated moderate and significant correlation with the 6MWT (coefficient values <italic>r</italic> for the FTSTS, 30-s STS and 1-min STS tests were&#x02212;0.53, 0.57 and 0.55 respectively). Correlations between left ventricular ejection fraction (LVEF) and all STS tests and between 6MWT and LVEF were only weak (<italic>r values</italic> ranged from 0.27 to 0.31). Subgroup analysis showed participants in the post-AMI group performed worse in all tests compared to non-myocardial infarction (non-MI) group. The area under the curve (AUC) was 0.80 for FTSTS (sensitivity: 75.0%, specificity: 73.8%, optimal cut-off: &#x0003E;11.7 sec), and the AUC, sensitivity, specificity and optimal cut-off for 30-s STS and 1-min STS test were 0.83, 75.0%, 76.2%, &#x02264; 12 repetitions and 0.80, 71.4%, 73.8%, &#x02264; 23 repetitions respectively. The intraclass correlation coefficients (ICC) for repeated measurements of the FTSTS, 30-s STS and 1-min STS tests were 0.96, 0.95 and 0.96 respectively, with the minimal detectable change (MDC<sub>95</sub>) computed to be 1.1 sec 1.8 repetitions and 3.9 repetitions respectively.</p></sec>
<sec>
<title>Conclusions</title>
<p>All STS tests demonstrated good test-retest reliability, convergent and known-groups validity. STS tests may discriminate low from high levels of risk for a cardiovascular event in patients with CAD.</p></sec></abstract>
<kwd-group>
<kwd>coronary artery disease</kwd>
<kwd>sit-to-stand</kwd>
<kwd>reliability</kwd>
<kwd>validity</kwd>
<kwd>discriminative ability</kwd>
<kwd>6-minute walk test</kwd>
</kwd-group>
<contract-num rid="cn001">31870936</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="45"/>
<page-count count="10"/>
<word-count count="7004"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Coronary artery disease (CAD) is the leading cause of death worldwide and accounts for a significant disease burden in developing countries (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Cardiac rehabilitation (CR) is supported by evidence as key to CAD management and functional capacity is often a clinical outcome used to reflect the success of a CR programme (<xref ref-type="bibr" rid="B3">3</xref>). The 6-min walk test (6MWT) has been used as a prognostic tool to predict the risk of myocardial infarct, heart failure and death in CAD patients (<xref ref-type="bibr" rid="B4">4</xref>). The 6MWT demands no expensive or complicated equipment, however it does require a corridor which is at least 30 meters in length, and the full assessment procedure takes at least 20 min. Further, patient performance can be confounded by the motivation and unintentional encouragement provided by the operators (<xref ref-type="bibr" rid="B5">5</xref>). In contrast, the sit-to-stand (STS) test requires a chair and minimal space. It was first introduced in 1985 for the evaluation of lower limb muscle strength (<xref ref-type="bibr" rid="B6">6</xref>). Recently, an incremental STS test protocol was reported to be highly correlated with peak oxygen consumption during an exercise test in healthy individuals (<xref ref-type="bibr" rid="B7">7</xref>). STS tests are now considered feasible alternative tests for the assessment of functional fitness in older adults and in various patient populations (<xref ref-type="bibr" rid="B8">8</xref>&#x02013;<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Tests or measures in clinical medicine are normally used for three purposes: discriminate between patient characteristics, predict an outcome or inform the prognosis of a condition, and evaluate change over time or change after certain intervention (<xref ref-type="bibr" rid="B11">11</xref>). The STS tests have been used to discriminate levels of functional capacity in people with chronic respiratory illness (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>) and have also been used to evaluate the effect of pulmonary rehabilitation in people with chronic obstructive pulmonary disease (COPD) (<xref ref-type="bibr" rid="B14">14</xref>). The 1-min STS test was shown to be a strong predictor of 2-year mortality in people with COPD (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>While the reliability and discriminative properties of various STS test protocols, including the five times sit-to-stand (FTSTS) test, 30-sec STS (30-s STS) test and 1-min STS (1-min STS) test, have been reported in different populations (<xref ref-type="bibr" rid="B16">16</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>), a gold standard for testing the criterion validity of STS tests in discriminating levels of functional capacity in people with CAD is not yet available. There is therefore a need to establish the construct (convergent and known-groups) validity of STS tests in this population. Further, while STS test performance in patients with heart failure (<xref ref-type="bibr" rid="B19">19</xref>) and in patients enrolled in CR (<xref ref-type="bibr" rid="B20">20</xref>) have been reported, comparison of the reliability of various STS test protocols in patients with CAD has not been reported.</p>
<p>The focus of this current study is to examine the discriminative properties of the FTSTS, 30-s STS and 1-min STS tests. The primary objective of this current study is to examine the test-retest reliability, convergent and known-groups validity of the 3 STS tests. Convergent validity was examined through investigation of the correlation between STS test scores and the distance covered by the 6MWT, a valid test for measurement of functional capacity. Known-groups validity was examined through the evaluation of statistical and clinically important differences in STS tests of known groups, that is, participants with post-AMI and those without myocardial infarction (non-MI).</p>
<p>Following the assumption that STS tests are feasible alternative measurement tool for functional capacity, the secondary objective of the study was to explore the feasibility of using STS test protocols to discriminate the level of risk of cardiovascular events in people with CAD. Categorization of risk of cardiovascular events was adopted from a previous report, that patients who covered &#x02264; 419 m during a 6MWT were classified at high risk of cardiovascular events (<xref ref-type="bibr" rid="B4">4</xref>).</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and methods</title>
<sec>
<title>Study design and participants</title>
<p>A cross-sectional study (Chinese Clinical Trial Registry Number: 2000037435) was conducted from July 2020 to February 2021. Approval to conduct the study was granted by the Ethics Committee of Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine (Approval Number: XHEC-C-2020-078-1). Participants were considered eligible for enrolment if they were older than 18 years with CAD with a diagnosis of atherosclerosis (as confirmed by angiography), post percutaneous coronary intervention, or at least 6 months post-acute myocardial infarction (post-AMI). The exclusion criteria included: a) raised cardiac troponin I level, b) acute infectious disease, respiratory disease, uncontrolled metabolic disease or hypertension; c) with neuromusculoskeletal, cognitive disorders, visual or auditory dysfunction that would affect performance of STS tests; d) heart failure at Class III or IV of the New York Heart Association (NYHA) classification; e) having previously participated in a CR program.</p>
</sec>
<sec>
<title>Procedures</title>
<p>Patients attending follow up at the Xinhua Hospital were screened for eligibility for this study. Eligible patients were invited to participate, with the nature of the study explained and written informed consent obtained from each patient prior to commencement of the study. The socio-demographic characteristics of each participant were then recorded.</p>
<p>Participants were asked to complete a 6MWT, FTSTS, 30-s STS and 1-min STS tests at random order on the same day. All tests were performed once only without any trial runs. This was deemed appropriate as test-retest reliability of FTSTS test was shown to be reliable with a single evaluation session (<xref ref-type="bibr" rid="B17">17</xref>). The order of testing was written in a card placed in a sealed envelope and the participants were asked to draw an envelope with the concealed order enclosed. A rest period of 30 min was set between the 6MWT and any of the STS tests, and all participants were given a 5-min rest period between each STS test protocol (<xref ref-type="bibr" rid="B21">21</xref>). Blood pressure (BP), heart rate (HR) and level of fatigue (using a CR-10 Borg scale) were recorded before and immediately after each test. Any adverse events were documented. All tests were conducted by the same physiotherapist.</p>
<p>All participants were also invited to draw from another sealed envelope which determined whether they were invited to return on the follow day to repeat the 3 STS tests.</p>
<sec>
<title>Sit-to-stand test protocols</title>
<p>A chair without arms, with rubber tips on the legs, a hard seat of fixed height 46 cm was positioned against a wall. All 3 STS test protocols required the participant to commence in a seated position with the feet resting flat and ankle joints in the neutral position. All participants were given the instruction to perform the sit-to-stand task as quickly as possible with their arms crossed over the chest and hands on the shoulders (<xref ref-type="bibr" rid="B8">8</xref>). A standard STS movement was viewed as the legs being fully straightened when the stand phase concluded and the hip landing firmly on the chair when seated. A test would be terminated if the participant required assistance or was unable to complete the movement. No encouragement was provided during any STS test protocol.</p>
<p>The time for the participant to complete the STS movement five times was recorded for the FTSTS test (<xref ref-type="bibr" rid="B12">12</xref>). For 30-s and 1-min STS tests, subjects were required to perform as many STS movements as possible within 30 sec (<xref ref-type="bibr" rid="B22">22</xref>) or 1 min, respectively. The number of STS movements completed within the time required was recorded, as appropriate.</p>
</sec>
<sec>
<title>6MWT</title>
<p>The 6MWT was conducted following the American Thoracic Society guidelines for the 6MWT (<xref ref-type="bibr" rid="B23">23</xref>). All participants completed the 6MWT on a 30-meter flat corridor.</p>
</sec>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Data analyses were performed using the IBM SPSS Statistics 25.0 for Windows (IBM Corp., Armonk, NY) and the MedCalc 18.2.1 (Ostend, Belgium). Continuous variables were reported as mean and standard deviation (SD), and categorical data were shown as a number and percentage. The Kolmogorov-Smirnov test was used to check the normality of data distribution. Test-retest reliability, defined as consistency of the STS test scores recorded in the two separate days, was determined by the intraclass correlation coefficient (ICC) calculated by a two-way mixed model with absolute agreement method (<xref ref-type="bibr" rid="B24">24</xref>). The ICC was considered as poor, fair, good and excellent with values of &#x0003C;0.5, 0.5 to 0.75, 0.75 to 0.9, &#x0003E;0.9 respectively (<xref ref-type="bibr" rid="B25">25</xref>). Bland-Altman plots were constructed to display the distribution difference of repeated measurements and calculate the limits of agreement (LoA) <italic>via</italic> mean difference &#x000B1; 1.96 SD of difference (<xref ref-type="bibr" rid="B26">26</xref>). Standard error of measurement (SEM) and a minimal detectable change with 95% confidence intervals (MDC<sub>95</sub>) were calculated with the formulae SD<inline-formula><mml:math id="M1"><mml:msqrt><mml:mrow><mml:mn>1</mml:mn><mml:mo>-</mml:mo><mml:mi>I</mml:mi><mml:mi>C</mml:mi><mml:mi>C</mml:mi></mml:mrow></mml:msqrt></mml:math></inline-formula> and SEM &#x000D7; <inline-formula><mml:math id="M2"><mml:msqrt><mml:mrow></mml:mrow></mml:msqrt><mml:mn>2</mml:mn><mml:mo>&#x000D7;</mml:mo></mml:math></inline-formula>1.96 respectively, to estimate the measurement variability (<xref ref-type="bibr" rid="B27">27</xref>). Pearson&#x00027;s or Spearman&#x00027;s correlation coefficients were used to measure the magnitude of correlation between STS tests, 6MWT and LVEF, depending on the data distribution. The correlation was considered &#x0201C;negligible to weak,&#x0201D; &#x0201C;moderate,&#x0201D; and &#x0201C;well-accepted&#x0201D; with values &#x0003C;0.3, 0.3 to 0.6, and &#x0003E;0.6 respectively (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). One way to support the convergent validity of the STS tests was a satisfactory correlation value between the STS scores and outcomes recorded with another tool valid for measurement of functional capacity, thus it was hypothesized that the correlation value (r) generated between STS tests and recorded 6MWD should be at least 0.5. Independent Samples <italic>t</italic> test or Mann-Whitney test was used to explore the known-groups validity through analysis of the differences in all tests between groups of patients with non-MI and post-AMI. Based on previous reported values of minimal clinically important differences (MCID) in STS tests in subjects with COPD, the between-group mean difference (MD) in STS tests was hypothesized to be &#x02265;1.3s for the FTSTS test (<xref ref-type="bibr" rid="B12">12</xref>), &#x02265;2 repetitions for 30-s STS test (<xref ref-type="bibr" rid="B14">14</xref>) and &#x02265;3 repetitions for the 1-min STS test (<xref ref-type="bibr" rid="B30">30</xref>). Chi-square test was used to compare distributions of gender, coronary artery lesions, cardiovascular risk factors and type of medications between subgroups.</p>
<p>Lastly, if STS tests are deemed feasible alternatives to 6MWT in assessment of functional capacity in people with CAD, we wish to explore whether STS tests were able to discriminate participants with high and low risk of cardiovascular events, thus, receiver operating characteristic (ROC) curve analyses (<xref ref-type="bibr" rid="B31">31</xref>) were performed. The area under the curve (AUC) of the ROC curve would indicate the discriminative ability of the STS tests to differentiate the risk of cardiovascular events. The selection of the optimal cut-off scores for the STS tests was based on principle of minimizing the misclassification with minimum absolute difference between sensitivity and specificity (<xref ref-type="bibr" rid="B32">32</xref>). Based on a previous report by Beatty and colleagues, the &#x0201C;cut-off&#x0201D; value adopted in this study to differentiate participants with low or high risk of cardiovascular events was 419 m from the 6MWT (<xref ref-type="bibr" rid="B4">4</xref>). The AUC of all STS tests were compared. All statistical tests were two-tailed with the level of significance set at 0.05.</p>
</sec>
<sec>
<title>Sample size estimation</title>
<p>With two observations per subject, to achieve 80% power to detect an estimated ICC of 0.8 under the alternative hypothesis, and with the ICC estimated as 0.5 under the null hypothesis, with a significance level of 0.05, the minimum sample size for the STS test-retest reliability was computed as 22. For the known-groups validity testing, the sample size estimation was based on a hypothesized effect size index of 0.6 in testing the mean STS test difference between groups of non-MI and post-AMI patients, using a two-tailed independent <italic>t</italic>-test with a level of significance of 0.05 and statistical power of 0.8. A minimum of 90 patients was required. In the ROC curve analyses of STS tests for differentiating patients with low or high risk of cardiovascular events, a minimum sample of 82 patients was required to achieve 80% power to detect a difference of 0.15 between the AUC of the ROC curve analysis under the null hypothesis of 0.70 and an AUC under the alternative hypothesis of 0.85 using a two-sided z-test at a significance level of 0.05. All the sample size estimations were performed using the PASS 15.0.5 (NCSS, Kaysville, Utah, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Subjects characteristics</title>
<p>A total of 112 patients (mean age 63.9 &#x000B1; 8.8 years, male 69%) were included in the study and the mean age of the 30 patients participated in the reliability tests was 64.3 &#x000B1; 7.3 years, (males 53%). The number of post-AMI and non-MI participants was 48 and 64 respectively. Demographic characteristics of all patients are summarized in <xref ref-type="table" rid="T1">Table 1</xref>. <xref ref-type="table" rid="T2">Table 2</xref> displays the HR, BP and level of fatigue at pre and immediately post STS tests and 6MWT. There was no adverse event during all tests. In the post-AMI group, 1 patient required a permanent pacemaker, 2 patients received coronary arterial bypass grafting operations.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Demographics characteristics of the participants.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristic</bold></th>
<th valign="top" align="left"><bold>Validity study</bold><break/> <bold>(<italic>n</italic> = 112)</bold></th>
<th valign="top" align="left"><bold>Reliability study (<italic>n</italic> = 30)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="left">63.9 &#x000B1; 8.8</td>
<td valign="top" align="left">64.3 &#x000B1; 7.3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Gender</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">77 (69%)</td>
<td valign="top" align="left">16 (53%)</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">35 (31%)</td>
<td valign="top" align="left">14 (47%)</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="left">24.6 &#x000B1; 3.5</td>
<td valign="top" align="left">24.8 &#x000B1; 3.5</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Diagnosis</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Atherosclerosis</td>
<td valign="top" align="left">34</td>
<td valign="top" align="left">10</td>
</tr>
<tr>
<td valign="top" align="left">post-PCI<break/> post AMI</td>
<td valign="top" align="left">30<break/> 48</td>
<td valign="top" align="left">10<break/> 10</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Coronary artery lesions</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Single-vessel</td>
<td valign="top" align="left">41 (37%)</td>
<td valign="top" align="left">14 (47%)</td>
</tr>
<tr>
<td valign="top" align="left">Double-vessel</td>
<td valign="top" align="left">24 (21%)</td>
<td valign="top" align="left">7 (23%)</td>
</tr>
<tr>
<td valign="top" align="left">Triple-vessel</td>
<td valign="top" align="left">47 (42%)</td>
<td valign="top" align="left">9 (30%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Cardiovascular risk factors</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">69 (62%)</td>
<td valign="top" align="left">17 (57%)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="left">43 (38%)</td>
<td valign="top" align="left">13 (43%)</td>
</tr>
<tr>
<td valign="top" align="left">Hyperlipidaemia</td>
<td valign="top" align="left">64 (57%)</td>
<td valign="top" align="left">15 (50%)</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="left">71 (63%)</td>
<td valign="top" align="left">20 (67%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Blood tests</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">FBG (mg/dl)</td>
<td valign="top" align="left">107.91 &#x000B1; 26.20</td>
<td valign="top" align="left">110.13 &#x000B1; 33.43</td>
</tr>
<tr>
<td valign="top" align="left">TC (mg/dl)</td>
<td valign="top" align="left">144.46 &#x000B1; 39.04</td>
<td valign="top" align="left">140.99 &#x000B1; 25.84</td>
</tr>
<tr>
<td valign="top" align="left">TG (mg/dl)</td>
<td valign="top" align="left">164.64 &#x000B1; 144.30</td>
<td valign="top" align="left">190.14 &#x000B1; 139.95</td>
</tr>
<tr>
<td valign="top" align="left">HDL (mg/dl)</td>
<td valign="top" align="left">39.78 &#x000B1; 10.89</td>
<td valign="top" align="left">37.51 &#x000B1; 10.50</td>
</tr>
<tr>
<td valign="top" align="left">LDL (mg/dl)</td>
<td valign="top" align="left">79.39 &#x000B1; 31.51</td>
<td valign="top" align="left">77.03 &#x000B1; 21.50</td>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP (pg/ml)</td>
<td valign="top" align="left">283.90 &#x000B1; 597.48</td>
<td valign="top" align="left">322.90 &#x000B1; 811.73</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Current medications</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Antiplatelet agents</td>
<td valign="top" align="left">102 (91%)</td>
<td valign="top" align="left">27 (90%)</td>
</tr>
<tr>
<td valign="top" align="left">ACEI/ARB</td>
<td valign="top" align="left">48 (43%)</td>
<td valign="top" align="left">11 (37%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x003B2;-Blocker</td>
<td valign="top" align="left">108 (96%)</td>
<td valign="top" align="left">28 (93%)</td>
</tr>
<tr>
<td valign="top" align="left">Lipid-lowing agents</td>
<td valign="top" align="left">107 (96%)</td>
<td valign="top" align="left">29 (97%)</td>
</tr>
<tr>
<td valign="top" align="left">Hypoglycemic agents</td>
<td valign="top" align="left">36 (32%)</td>
<td valign="top" align="left">10 (33%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>PCI, percutaneous coronary intervention; post-AMI, post-acute myocardial infarction; BMI; body mass index; FBG, fasting blood glucose; TC, total cholesterol; TG, triglycerides; HDL, high density lipoprotein; LDL, low density lipoprotein; NT-proBNP, N-terminal pro b-type Natriuretic Peptide; ACEI, angiotensin-converting enzyme inhibition; ARB, angiotensin receptor blocker.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Hemodynamic data and fatigue score at pre- and immediately post-tests (<italic>n</italic> = 112).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th/>
<th valign="top" align="left"><bold>6MWT</bold></th>
<th valign="top" align="left"><bold>FTSTS</bold></th>
<th valign="top" align="left"><bold>30-s STS</bold></th>
<th valign="top" align="left"><bold>1-min STS</bold></th>
<th valign="top" align="left"><bold><italic>p</italic>-value<sup>&#x00394;</sup> across groups</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">HR (beats/min)</td>
<td valign="top" align="left">pre<break/> post</td>
<td valign="top" align="left">72.9 &#x000B1; 8.3<break/> 85.9 &#x000B1; 8.4</td>
<td valign="top" align="left">71.1 &#x000B1; 6.8 73.8 &#x000B1; 7.8</td>
<td valign="top" align="left">72.7 &#x000B1; 8.6<break/> 79.6 &#x000B1; 9.2</td>
<td valign="top" align="left">72.3 &#x000B1; 8.2 87.5 &#x000B1; 8.9</td>
<td valign="top" align="left"><italic>p</italic> = 0.35</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">% change</td>
<td valign="top" align="left">&#x0002B;17.8%</td>
<td valign="top" align="left">&#x0002B;3.8%</td>
<td valign="top" align="left">&#x0002B;9.5%</td>
<td valign="top" align="left">&#x0002B;21.0%</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>-value<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td/>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">SBP (mmHg)</td>
<td valign="top" align="left">pre<break/> post</td>
<td valign="top" align="left">125.0 &#x000B1; 12.5<break/> 146.8 &#x000B1; 14.1</td>
<td valign="top" align="left">124.9 &#x000B1; 13.3 130.4 &#x000B1; 12.4</td>
<td valign="top" align="left">125.3 &#x000B1; 13.5<break/> 139.4 &#x000B1; 16.3</td>
<td valign="top" align="left">128.2 &#x000B1; 12.6 149.3 &#x000B1; 14.8</td>
<td valign="top" align="left"><italic>p</italic> = 0.18</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">% change</td>
<td valign="top" align="left">&#x0002B;17.4%</td>
<td valign="top" align="left">&#x0002B;4.4%</td>
<td valign="top" align="left">&#x0002B;11.3%</td>
<td valign="top" align="left">&#x0002B;16.5%</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>-value<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td/>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">DBP (mmHg)</td>
<td valign="top" align="left">pre<break/> post</td>
<td valign="top" align="left">73.0 &#x000B1; 9.7<break/> 81.5 &#x000B1; 8.6</td>
<td valign="top" align="left">73.3 &#x000B1; 8.8 73.4 &#x000B1; 9.3</td>
<td valign="top" align="left">74.3 &#x000B1; 8.4<break/> 83.0 &#x000B1; 8.7</td>
<td valign="top" align="left">75.3 &#x000B1; 7.5 84.5 &#x000B1; 8.8</td>
<td valign="top" align="left"><italic>p</italic> = 0.20</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">% change</td>
<td valign="top" align="left">&#x0002B;11.6%</td>
<td valign="top" align="left">0.1%</td>
<td valign="top" align="left">&#x0002B;11.7%</td>
<td valign="top" align="left">&#x0002B;12.2%</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>-value<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td/>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> = 0.90</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Fatigue score</td>
<td valign="top" align="left">pre</td>
<td valign="top" align="left">0.2 &#x000B1; 0.4</td>
<td valign="top" align="left">0.2 &#x000B1; 0.5</td>
<td valign="top" align="left">0.2 &#x000B1; 0.6</td>
<td valign="top" align="left">0.2 &#x000B1; 0.5</td>
<td valign="top" align="left"><italic>p</italic> = 0.93</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">post</td>
<td valign="top" align="left">4.0 &#x000B1; 0.9</td>
<td valign="top" align="left">0.3 &#x000B1; 0.6</td>
<td valign="top" align="left">2.4 &#x000B1; 1.1</td>
<td valign="top" align="left">4.2 &#x000B1; 1.7</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><italic>p</italic>-value<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td/>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> = 0.05</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>HR, heart rate, SBP, systolic blood pressure, DBP, diastolic blood pressure, 6MWT, six-minute walk test, FTSTS, five times sit-to-stand, 30-s STS, 30-second sit-to-stand, 1-min STS, 1-minute sit-to-stand. Mean diff, mean difference between pre and post values.</p>
<fn id="TN1">
<label>&#x0002A;</label>
<p>p-value determined by paired t-test or Wilcoxon signed rank test; <sup>&#x00394;</sup>p-value determined by repeated measures ANOVA or Kruskal-Wallis H test.</p></fn>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>Relative and absolute reliability</title>
<p>The relative reliability for FTSTS, 30-s STS, 1-min STS tests were excellent with ICC values all above 0.95 between the two testing days in all STS tests. The minimum detectable change values with 95% confidence interval (MDC<sub>95</sub>) were 1.11 s, 1.79 repetitions and 3.86 repetitions, respectively (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Relative and absolute reliability results of the three STS tests (<italic>n</italic> = 30).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="left"><bold>ICC (95% CI)</bold></th>
<th valign="top" align="left"><bold>1<sup>st</sup> measure</bold></th>
<th valign="top" align="left"><bold>2<sup>nd</sup> measure</bold></th>
<th valign="top" align="left"><bold>SEM</bold></th>
<th valign="top" align="left"><bold>MDC<sub>95</sub></bold></th>
<th valign="top" align="left"><bold>95% LoA</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FTSTS (sec)</td>
<td valign="top" align="left">0.96 (0.92&#x02013;0.98)</td>
<td valign="top" align="left">12.01 &#x000B1; 2.04</td>
<td valign="top" align="left">11.85 &#x000B1; 2.14</td>
<td valign="top" align="left">0.40</td>
<td valign="top" align="left">1.11</td>
<td valign="top" align="left">&#x02212;0.96&#x02013;1.26</td>
</tr>
<tr>
<td valign="top" align="left">30&#x02013;s STS (repetitions)</td>
<td valign="top" align="left">0.95 (0.91&#x02013;0.98)</td>
<td valign="top" align="left">13.07 &#x000B1; 3.06</td>
<td valign="top" align="left">12.97 &#x000B1; 3.02</td>
<td valign="top" align="left">0.65</td>
<td valign="top" align="left">1.79</td>
<td valign="top" align="left">&#x02212;1.71&#x02013;1.91</td>
</tr>
<tr>
<td valign="top" align="left">1&#x02013;min STS (repetitions)</td>
<td valign="top" align="left">0.96 (0.91&#x02013;0.98)</td>
<td valign="top" align="left">24.67 &#x000B1; 6.69</td>
<td valign="top" align="left">25.10 &#x000B1; 6.69</td>
<td valign="top" align="left">1.39</td>
<td valign="top" align="left">3.86</td>
<td valign="top" align="left">&#x02212;4.31&#x02013;3.44</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ICC, intraclass correlation coefficient; 95% CI, 95% confidence interval; SEM, standard error of measurement; MDC<sub>95</sub>, minimum detectable change with 95% CI; LoA, 95% limits of agreement; FTSTS, five times sit&#x02013;to&#x02013;stand; 30&#x02013;s STS, 30&#x02013;sec sit&#x02013;to&#x02013;stand; 1&#x02013;min STS, 1&#x02013;min sit&#x02013;to&#x02013;stand.</p>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>Convergent validity</title>
<p>Correlation between performance of 6MWT and the 3 STS tests were moderate (FTSTS test, <italic>r</italic> = &#x02212;0.53, <italic>p</italic> &#x0003C; 0.001; 30-s STS test, <italic>r</italic> = 0.57, <italic>p</italic> &#x0003C; 0.001; 1-min STS test, <italic>r</italic> = 0.55, <italic>p</italic> &#x0003C; 0.001). Correlations between recorded LVEF and STS performance or with 6MWT were both weak (<xref ref-type="table" rid="T4">Table 4</xref>, <xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Correlation analysis between STS tests with 6MWT and LVEF.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th/>
<th valign="top" align="left"><bold>FTSTS</bold></th>
<th valign="top" align="left"><bold>30&#x02013;s STS</bold></th>
<th valign="top" align="left"><bold>1&#x02013;min STS</bold></th>
<th valign="top" align="left"><bold>6MWT</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">6MWT</td>
<td valign="top" align="left"><italic>r</italic></td>
<td valign="top" align="left"><italic>r<sub><italic>s</italic></sub></italic> = &#x02212;0.53</td>
<td valign="top" align="left"><italic>r<sub><italic>s</italic></sub></italic> = 0.57</td>
<td valign="top" align="left"><italic>r<sub><italic>p</italic></sub></italic> = 0.55</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>p</italic></td>
<td valign="top" align="left">&#x0003C;0.001</td>
<td valign="top" align="left">&#x0003C;0.001</td>
<td valign="top" align="left">&#x0003C;0.001</td>
<td valign="top" align="left">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">LVEF</td>
<td valign="top" align="left"><italic>r</italic></td>
<td valign="top" align="left"><italic>r<sub><italic>s</italic></sub></italic> = &#x02212;0.27</td>
<td valign="top" align="left"><italic>r<sub><italic>s</italic></sub></italic> = 0.31</td>
<td valign="top" align="left"><italic>r<sub><italic>s</italic></sub></italic> = 0.27</td>
<td valign="top" align="left"><italic>r<sub><italic>s</italic></sub></italic> = 0.29</td>
</tr>
<tr>
<td/>
<td valign="top" align="left"><italic>p</italic></td>
<td valign="top" align="left">0.003</td>
<td valign="top" align="left">0.001</td>
<td valign="top" align="left">0.004</td>
<td valign="top" align="left">0.002</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>FTSTS, five times sit&#x02013;to&#x02013;stand; 30&#x02013;s STS, 30&#x02013;sec sit&#x02013;to&#x02013;stand; 1&#x02013;min STS, 1&#x02013;min sit&#x02013;to&#x02013;stand; 6MWT, six&#x02013;min walk test; LVEF, left ventricular ejection fraction.</p>
<p>r = Rho; r<sub>p</sub> = Pearson correlation coefficient; r<sub>s</sub> = Spearman correlation coefficient; p = p&#x02013;value.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Correlations between 6MWT and the 3 STS tests. FTSTS test: five times sit-to-stand test, 30-s STS test: 30-sec sit-to-stand test, 1-min STS test: 1-min sit-to-stand test, 6MWT: six-min walk test.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-841453-g0001.tif"/>
</fig></sec>
<sec>
<title>Known-groups validity</title>
<p><xref ref-type="table" rid="T5">Table 5</xref> displays results of known-groups validity analyses between patients in the post-AMI and non-MI groups. Patients with post-AMI required significantly longer time in completion of the FTSTS test, means difference (MD) and 95%CI being 1.4 s, 0.3 to 2.6, (<italic>p</italic> = 0.009), less repetitions in both the 30-s STS, MD&#x02212;2.0, 95% CI: &#x02212;3.1 to &#x02212;0.7, (<italic>p</italic> = 0.002) and 1-min STS test MD&#x02212;3.4, 95%CI: &#x02212;5.9 to &#x02212;1.0 (<italic>p</italic> = 0.006); the distance covered in the 6MWT (431.5 &#x000B1; 64.6 vs. 480.3 &#x000B1; 57.3, MD &#x02212;48.8, 95% CI: &#x02212;71.7 to &#x02212;25.9, <italic>p</italic> &#x0003C; 0.001) was also less in this group (<xref ref-type="table" rid="T5">Table 5</xref>, <xref ref-type="fig" rid="F2">Figure 2</xref>). These mean differences were similar or larger than the pre-specified differences with reference to the MCID values of the STS tests of patients with COPD.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Comparison of STS tests and 6MWT performance between post&#x02013;AMI and non&#x02013;MI groups.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="left"><bold>post&#x02013;AMI</bold></th>
<th valign="top" align="left"><bold>non&#x02013;MI</bold></th>
<th valign="top" align="left"><bold>Mean Difference</bold></th>
<th valign="top" align="left"><bold>95% CI</bold></th>
<th valign="top" align="left"><bold><italic>p</italic>&#x02013;value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FTSTS test (sec)</td>
<td valign="top" align="left">12.9 &#x000B1; 3.3</td>
<td valign="top" align="left">11.5 &#x000B1; 2.8</td>
<td valign="top" align="left">1.4</td>
<td valign="top" align="left">0.3 &#x0007E; 2.6</td>
<td valign="top" align="left"><italic>P</italic> = 0.009<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">30&#x02013;s STS test (repetitions)</td>
<td valign="top" align="left">12.4 &#x000B1; 2.9</td>
<td valign="top" align="left">14.4 &#x000B1; 3.3</td>
<td valign="top" align="left">&#x02212;2.0</td>
<td valign="top" align="left">&#x02212;3.1 &#x0007E;&#x02212;0.7</td>
<td valign="top" align="left"><italic>p</italic> = 0.002<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">1&#x02013;min STS test (repetitions)</td>
<td valign="top" align="left">24.1 &#x000B1; 5.9</td>
<td valign="top" align="left">27.5 &#x000B1; 6.8</td>
<td valign="top" align="left">&#x02212;3.4</td>
<td valign="top" align="left">&#x02013; 5.9 &#x0007E;&#x02212;1.0</td>
<td valign="top" align="left"><italic>p</italic> = 0.006<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">6MWT (meter)</td>
<td valign="top" align="left">431.5 &#x000B1; 64.6</td>
<td valign="top" align="left">480.3 &#x000B1; 57.3</td>
<td valign="top" align="left">&#x02212;48.8</td>
<td valign="top" align="left">&#x02212;71.7 &#x0007E;&#x02212;25.9</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C; 0.001<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>post&#x02013;AMI, post&#x02013;acute myocardial infarction; 95% CI, 95% confidence interval; FTSTS test, five times sit&#x02013;to&#x02013;stand test; 30&#x02013;s STS test, 30&#x02013;sec sit&#x02013;to&#x02013;stand test; 1&#x02013;min STS test, 1&#x02013;min sit&#x02013;to&#x02013;stand test; 6MWT, six&#x02013;min walk test.</p>
<fn id="TN2">
<label>&#x0002A;&#x0002A;</label>
<p>p &#x0003C; 0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Intergroup comparison of STS tests and 6MWT performance. FTSTS test: five times sit-to-stand test, 30-s STS test: 30-sec sit-to-stand test, 1-min STS test: 1-min sit-to-stand test, 6MWT: six-min walk test, post-AMI: post-acute myocardial infarction. &#x0002A;&#x0002A; <italic>p</italic> &#x0003C; 0.01.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-841453-g0002.tif"/>
</fig></sec>
<sec>
<title>ROC curve analysis</title>
<p>A total of 84 patients achieved more than 419 m in their 6MWT and were thus classified as low- risk cardiovascular event group (<xref ref-type="bibr" rid="B4">4</xref>), 28 patients who covered &#x02264; 419 m were in the high-risk group. ROC curve analysis illustrated that the AUC of FTSTS, 30-s STS,and 1-min STS tests were 0.80 (sensitivity: 75.0%, specificity: 73.8%, optimal cut-off: 11.7 s), 0.83 (sensitivity: 75.0%, specificity: 76.2%, optimal cut-off: 12 repetitions), and 0.80 (sensitivity: 71.4%, specificity: 73.8%, optimal cut-off: 23 repetitions) respectively (<xref ref-type="table" rid="T6">Table 6</xref>). There were no statistically significant differences in the AUC of the ROC curve analyses among the three STS tests.</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>ROC analysis of discriminatory capability of STS tests on 6MWD over 419 m.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Tests</bold></th>
<th valign="top" align="left"><bold>AUC (95% CI)</bold></th>
<th valign="top" align="left"><bold>optimal cut-off</bold></th>
<th valign="top" align="left"><bold>Sensitivity</bold></th>
<th valign="top" align="left"><bold>Specificity</bold></th>
<th valign="top" align="left"><bold><italic>p</italic>-values</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FTSTS (second)</td>
<td valign="top" align="left">0.80 (0.71&#x02013;0.87)</td>
<td valign="top" align="left">&#x0003E;11.7</td>
<td valign="top" align="left">75.0%</td>
<td valign="top" align="left">73.8%</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">30-s STS (repetitions)</td>
<td valign="top" align="left">0.83 (0.75&#x02013;0.89)</td>
<td valign="top" align="left"> &#x02264; 12</td>
<td valign="top" align="left">75.0%</td>
<td valign="top" align="left">76.2%</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">1-min STS (repetitions)</td>
<td valign="top" align="left">0.80 (0.71&#x02013;0.87)</td>
<td valign="top" align="left"> &#x02264; 23</td>
<td valign="top" align="left">71.4%</td>
<td valign="top" align="left">73.8%</td>
<td valign="top" align="left"><italic>p</italic> &#x0003C;0.001<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ROC, receiver operating characteristic; 6MWD, distance of six-min walk; AUC, area under the curve; FTSTS, five times sit-to-stand; 30-s STS, 30-sec sit-to-stand; 1-min STS, 1-min sit-to-stand.</p>
<fn id="TN3">
<label>&#x0002A;&#x0002A;</label>
<p>p &#x0003C; 0.01.</p></fn>
</table-wrap-foot>
</table-wrap></sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The use of FTSTS test has been shown to be an instrument of high reliability in healthy adults (<xref ref-type="bibr" rid="B33">33</xref>) as well as in people with spinal cord injury (<xref ref-type="bibr" rid="B34">34</xref>), hip arthroplasty (<xref ref-type="bibr" rid="B17">17</xref>) and in people with chronic obstructive pulmonary disease (<xref ref-type="bibr" rid="B12">12</xref>). The 1-min STS test and 30-s STS test were also shown to be reliable measures in people with pulmonary hypertension (<xref ref-type="bibr" rid="B22">22</xref>), total knee arthroplasty (<xref ref-type="bibr" rid="B35">35</xref>), with COPD (<xref ref-type="bibr" rid="B13">13</xref>) and cystic fibrosis (<xref ref-type="bibr" rid="B36">36</xref>). This current study is the first that compared all three STS tests in the same population of people with CAD. Findings of our study demonstrated excellent test-retest reliability for all 3 STS tests in this subject-cohort. Further, we found that compared to FTSTS and 30-s STS tests, the 1-min STS test induced the greatest changes in heart rate and SBP, and associated with the highest post-test fatigue score (<xref ref-type="table" rid="T2">Table 2</xref>). Amongst the 3 STS tests, changes induced by the 1-min STS test were closest to the physiological changes induced by the 6MWT. This suggests that the 1-min STS test is superior than 30-s STS and FTSTS tests if considered as an assessment tool for functional capacity in people with CAD. Our findings were in accord with a previous report which recommended the 1-min STS test to be a superior STS protocol for evaluation of functional capacity in subjects with COPD (<xref ref-type="bibr" rid="B8">8</xref>). Further, oxygen consumption was shown to be highest during a 1-min STS test compared to FTSTS in a cohort of patients with COPD (<xref ref-type="bibr" rid="B30">30</xref>). Although we have not measured oxygen consumption during the STS tests in our participants with CAD, we postulate that the pattern of oxygen uptake during STS tests would be similar in our subject cohort compared to those with COPD; further analysis is necessary to confirm this assumption.</p>
<p>As anticipated, findings of the current study illustrated moderate correlation between the 3 STS tests and the 6MWT, the correlation coefficient data of our study are similar to those previously reported in community-dwelling older adults (<xref ref-type="bibr" rid="B10">10</xref>) and in a cohort of patients with COPD (<xref ref-type="bibr" rid="B37">37</xref>). The correlation between LVEF and 6MWT and between LVEF and any STS tests was however only weak. This is not surprising. A lack of correlation between distanced covered in a 6MWT and ejection fraction was also reported in patients with heart failure (<xref ref-type="bibr" rid="B38">38</xref>). Exercise capacity was shown to be inversely associated with diastolic dysfunction but not associated with variation of left ventricular systolic function in people with LVEF within normal range (<xref ref-type="bibr" rid="B39">39</xref>). The LVEF of our patient cohort was all above 56%, it is therefore not surprising that there existed only a weak correlation between LVEF and exercise capacity (reflected by 6MWT or STS tests). While cardiac dysfunction partly contributes to poor exercise capacity, skeletal muscle fatigability plays an important mechanism in exercise tolerance (<xref ref-type="bibr" rid="B40">40</xref>); further, in patients with a normal ejection fraction, exercise capacity is associated with left ventricular dimensions (<xref ref-type="bibr" rid="B41">41</xref>), however, assessment of skeletal muscle fatigability and appraisal of left ventricular dimension was outside of the scope of this study.</p>
<p>The 6MWT has been suggested to be a prognostic tool for cardiovascular events in patients with stable CAD (<xref ref-type="bibr" rid="B4">4</xref>). Beatty and colleagues reported that patients in the lowest quartile of 6MWD of 87-419 m had 4 times the risk of cardiovascular events compared to those in the highest 6MWD quartile of 544-837 m. Based on Beatty and colleagues&#x00027; work, we used 6MWD of 419 m to demarcate high or low-risk cardiovascular event groups. With ROC curve analysis of our data, we showed that the 3 STS tests demonstrated good discriminative ability to differentiate patients between high and low risk cardiovascular events. Results of this analysis suggest that for patients with CAD, those who required more than 11.7 sec to complete a FTSTS test, or those who completed &#x0003C;12 repetitions of STS sequence in 30 sec or &#x0003C;23 STS-repetitions in 1 min were subjected to higher risk of cardiovascular events.</p>
<p>The MDC<sub>95</sub> data generated from this study illustrated the measurement errors on repeated measurements of the STS tests. The MDC<sub>95</sub> value for FTSTS test was previously reported in patients with COPD to be 3.1s (<xref ref-type="bibr" rid="B12">12</xref>). Our study showed that the MDC<sub>95</sub> value for FTSTS test in people with CAD was 1.1s. This suggests that the measurement error of FTSTS test was less in our cohort of participants with CAD compared to people with COPD. Similarly, MDC<sub>95</sub> value for the 30-s STS test reported in subjects with COPD (<xref ref-type="bibr" rid="B42">42</xref>) was also higher than that generated in this study. The MDC<sub>95</sub> of 1-min STS test reported by Crook and colleagues (<xref ref-type="bibr" rid="B30">30</xref>) was however smaller than our results (2.2 repetitions compared to 3.86 repetitions in our CAD cohort). Direct comparison between our study and previous reports however may not be appropriate. As the MDC<sub>95</sub> in other reports were generated from tests conducted in patients with COPD, whose exercise capacity was limited by impairment of the ventilatory system, and our data were obtained from patients with CAD, whose functional capacity is often restricted by cardiac performance.</p>
<p>Smoking, hyperlipaemia, hyperglycaemia, and hypertension are known risks factors of cardiovascular disease (<xref ref-type="bibr" rid="B43">43</xref>). <xref ref-type="table" rid="T1">Table 1</xref> shows that the rate of smoking is high amongst our participants. Unfortunately, China is the largest consumer of tobacco in the world (WHO-Tobacco in China) (<xref ref-type="bibr" rid="B44">44</xref>) and smoking prevalence is about 26.6% (<xref ref-type="bibr" rid="B45">45</xref>); there are more than 300 million smokers in China, this suggests that greater effort is required to foster public health strategies of smoking cessation.</p>
<p>In summary, this study showed that all 3 STS tests have excellent test-retest reliability. The MDC<sub>95</sub> values reported in this study provide a useful guide for the versatile use of STS protocols. The relationship of the STS tests with 6MWT demonstrated that these tests have good convergent validity in assessment of functional capacity in patients with CAD. Known-groups validity of these STS test was illustrated through distinct performance level by non-MI and post-AMI groups. STS tests are easy to perform and can be used as an assessment as well as an exercise training tool. Lastly this study inferred that STS test can also be considered as a discriminative tool to predict high or low risk of cardiovascular events in patients with CAD.</p>
<sec>
<title>Limitations of the study</title>
<p>This study demonstrated a satisfactory correlation between 6MWD and the STS tests and proposed that STS tests can be considered as a useful tool to assess function capacity. While we have demonstrated similar haemodynamic responses between 6MWT and the STS test, we did not have appropriate equipment to measure oxygen consumption during the STS tests. Information on oxygen uptake during the STS test would provide a more detailed picture of physiological demands of STS tests.</p>
<p>High and low risk cardiovascular events was categorized using 6MWD of 419 m as the demarcation level. While the predictive validity of this assumption was proven (<xref ref-type="bibr" rid="B4">4</xref>), inclusion of cumulative biometric risk factors may provide a stronger profile of risks of cardiovascular events. Validity of an index which combines the 6MWD and biometric risk factors requires further investigation.</p>
<p>The focus of this study was to establish discriminative properties of the three STS tests; establishment of the evaluative and prognostic properties of these tests in people with CAD was outside the scope of this study. Further research in examining the evaluative and prognostic value of STS tests is warranted.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>This is the first study that compared FTSTS test, 30-s STS test, and 1-min STS test in patients with CAD. This study showed that all 3 STS tests had good test-retest reliability, convergent and known-groups validity in assessing functional capacity in CAD patients. All 3 STS tests demonstrated good discriminative property in distinguishing patients with high and low risk of cardiovascular events and as such may inform the individualized clinical management, targeted exercise programmes and rehabilitation in this patient population.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine (Approval Number: XHEC-C-2020-078-1). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>Study conceptualization: ZW, JY, SM, JL, JH, and AJ. Data curation: ZW, JY, SM, JL, YY, and TZ. Statistical analysis: RT and DE-A. Manuscript preparation and writing the first draft: ZW, JY, and SM. Writing the section of the manuscript: JL, YY, TZ, DE-A, RT, JH, and AJ. All authors contributed to manuscript revision and have read and approved the final version of the manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (No. 31870936).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>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.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x00027;s note</title>
<p>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.</p>
</sec>
</body>
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</ref-list>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item><term>CAD</term>
<def><p>coronary artery disease</p></def></def-item>
<def-item><term>CR</term>
<def><p>cardiac rehabilitation</p></def></def-item>
<def-item><term>6MWT</term>
<def><p>6-min walk test</p></def></def-item>
<def-item><term>STS</term>
<def><p>sit-to-stand</p></def></def-item>
<def-item><term>FTSTS test</term>
<def><p>five times sit-to-stand test</p></def></def-item>
<def-item><term>30-s STS test</term>
<def><p>30-sec sit-to-stand test</p></def></def-item>
<def-item><term>1-min STS test</term>
<def><p>1-min sit-to-stand test</p></def></def-item>
<def-item><term>LVEF</term>
<def><p>left ventricular ejection fraction</p></def></def-item>
<def-item><term>post-PCI</term>
<def><p>post percutaneous coronary intervention</p></def></def-item>
<def-item><term>non-MI</term>
<def><p>non-myocardial infarction</p></def></def-item>
<def-item><term>post-AMI</term>
<def><p>post-acute myocardial infarction</p></def></def-item>
<def-item><term>BP</term>
<def><p>blood pressure</p></def></def-item>
<def-item><term>HR</term>
<def><p>heart rate</p></def></def-item>
<def-item><term>SD</term>
<def><p>standard deviation</p></def></def-item>
<def-item><term>ICC</term>
<def><p>intraclass correlation coefficient</p></def></def-item>
<def-item><term>LoA</term>
<def><p>limits of agreement</p></def></def-item>
<def-item><term>SEM</term>
<def><p>standard error of measurement</p></def></def-item>
<def-item><term>MDC<sub>95</sub></term>
<def><p>minimal detectable change with 95% confidence interval</p></def></def-item>
<def-item><term>ANOVA</term>
<def><p>one-way analysis of variance</p></def></def-item>
<def-item><term>ROC</term>
<def><p>receiver operating characteristic</p></def></def-item>
<def-item><term>AUC</term>
<def><p>area under the curve</p></def></def-item>
<def-item><term>COPD</term>
<def><p>chronic obstructive pulmonary disease</p></def></def-item>
<def-item><term>6MWD</term>
<def><p>the distance of 6MWT</p></def></def-item>
<def-item><term>MCID</term>
<def><p>minimal clinically important difference</p></def></def-item>
<def-item><term>MD</term>
<def><p>mean difference.</p></def></def-item>
</def-list>
</glossary> 
</back>
</article>