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Enregistrement W7081578420 · doi:10.20381/ruor-31383

The Selection of Cardiopulmonary Exercise Testing Protocols for Patients with Coronary Artery Disease

2025· dissertation· en· W7081578420 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Ottawa - Library · 2025
Typedissertation
Langueen
DomaineComputer Science
ThématiqueGeochemistry and Geologic Mapping
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCardiorespiratory fitnessCoronary artery diseaseVO2 maxRehabilitationHeart ratePhysical fitnessPhysical exerciseBruce protocol

Résumé

récupéré en direct d'OpenAlex

Coronary artery disease (CAD) is the most common type of cardiovascular disease (CVD). Cardiorespiratory fitness (CRF), which can be measured using cardiopulmonary exercise testing (CPET), is a strong independent predictor of mortality. Maximal and submaximal exercise tests are commonly used to assess the CRF of patients in cardiovascular rehabilitation (CR) programs. Maximal exercise tests are performed until volitional exhaustion, whereas submaximal exercise tests are usually terminated at 85% of age-predicted maximal heart rate (HR). Over the past 75 years, several protocols have been developed for measuring CRF. However, most of these were created and validated in predominantly male populations (males = 85.7%, females = 14.3%). Due to anatomical and physiological differences between males and females, it should not be assumed that the most optimal maximal and submaximal exercise testing protocols would be the same for females and males. The overall aim of my thesis was to investigate the exercise testing practices in CR programs across Canada and the optimal maximal and submaximal exercise testing protocols for assessing peak V ̇ O2 in females and males with CAD. Study 1, TRADE, was an observational pan-Canadian survey to determine (i) which maximal and submaximal exercise testing protocols are most frequently used in CR programs across Canada; (ii) how many maximal and submaximal protocols are used at each CR centre; (iii) how many maximal and submaximal tests are completed per year; (iv) the number of times each maximal and submaximal protocol is used per year; (v) which healthcare professional is most often selecting the exercise testing protocol; and (vi) the decision making process and criteria used for selecting an exercise testing protocol. The TRADE survey was completed by 118 CR programs (30.4% of programs in Canada). Of the 85 centres (72.6%) which perform exercise testing, 13 (14.9%), 42 (49.4%), and 26 (29.9%) complete maximal, submaximal, and both maximal and submaximal exercise testing, respectively. The Bruce treadmill and 6-minute walk tests were the most frequently used maximal (82.1%) and submaximal (75.0%) exercise tests, respectively. It was estimated that 3,610 – 4,910 and 18,000 – 22,710 maximal and submaximal exercise tests, respectively, were performed annually across Canada. The Bruce test was used approximately 3,560 – 4,790 times per year and the 6MWT was used approximately 13,940 – 16,650 times per year. Physicians were the leading decision-makers, overseeing testing protocols in 38 of the 118 programs, and the most common criteria for selecting an exercise testing protocol included standard procedures developed by management (n = 18). Study 2, PACED, was a randomized single blind cross-over trial to determine if peak VO2 varied between different maximal and submaximal treadmill exercise testing protocols for females and males with CAD. Key secondary research questions examined: (i) how cardiometabolic responses and ratings of perceived exertion (RPE) compare between different maximal and submaximal protocols; (ii) how different increments of grade speed affect test duration for maximal and submaximal exercise tests; and (iii) the most common reason for test termination for maximal exercise tests for females and males with CAD. The study included 20 participants (7 females [age: 64 ± 7 years] and 13 males [age: 64 ± 8 years]). For females, there was a significant difference in peak VO2 across the protocols (F = 9.222, p = 0.001); however, the location of the difference in peak V ̇ O2 could not be identified, likely due to insufficient power as few females completed the modified Balke protocol. No difference in peak HR was observed across the protocols (F = 3.079, p = 0.425). Females appeared to achieve greater peak systolic BP during the modified Balke protocol (SBP: 190 ± 21 mmHg, F = 0.40, p = N/A) and higher peak blood lactate concentrations (5.2 ± 1.1 mmol/L, F = 1.395, p = N/A) using the Modified Balke protocol; yet, due to a small sample size, there was an insufficient power for this analysis. Females achieved a higher RPE using the UOHI Slow Ramp protocol (18 ± 3 points, F = 0.594, p< 0.05). For females, 67% cited speed as the primary reason for test termination for the modified Balke, 29% and 50% cited shortness of breath for the modified Bruce and UOHI Slow Ramp, respectively, and 33% cited musculoskeletal fatigue for the modified Naughton. For males, no difference in peak V ̇ O2 was observed across the protocols (F = 0.189, p = 0.75). Also, no differences in peak HR (F = 0.2023, p = 0.649), systolic BP (F = 1.015, p = 0.420), diastolic BP (F = 0.786, p = 0.524), blood lactate concentrations (F = 1.015, p = 0.409), or RPE (F = 1.701, p = 0.197) was observed across the protocols. For males, 20% cited speed as the primary reason for test termination for the modified Balke, while 28% cited muscuolskeletal fatigue for the modified Bruce, and 23% and 50% cited shortness of breath for the modifed Naughton and UOHI Slow Ramp, respectively. These thesis findings suggest that although the Bruce protocol is the most used maximal exercise testing protocol for measuring CRF in patients with CVD across Canada, the modified Naughton protocol should be used for females with CAD to achieve their highest peak VO2. These findings contribute to our understanding of how different CPET protocols can impact individual CRF and cardiometabolic responses in patients with CAD, though future studies should explore larger sample sizes to adequately (with sufficient sample sizes) capture these sex- specific responses.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,286
Score d'incertitude au seuil0,540

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,188
Écart entre enseignants0,179 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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