Could peak oxygen uptake be estimated from proposed equations based on the six-minute walk test in chronic heart failure subjects?

Ribeiro-Samora, Giane Amorim; Montemezzo, Dayane; Tagliaferri, Thaysa Leite; Vieira, Otávia A.; Britto, Raquel Rodrigues

doi:10.1016/j.bjpt.2017.03.004

Cited by 10 publications

(8 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Our findings are supported by a recent study evaluating the agreement of

prediction equations derived from the 6MWT in patients with HF at a single time point. 11 This study found the Cahalin et al 8 equation to be the most accurate at predicting measured

, as compared with the Ross et al 9 and Adedoyin et al 10 equations; however, all equations demonstrated proportional bias according to their Bland-Altman plots. 11 We have extended this finding to a larger sample of patients with HF (n = 54) completing a CR program.…”

Section: Discussionmentioning

confidence: 61%

“… 11 This study found the Cahalin et al 8 equation to be the most accurate at predicting measured

.…”

Section: Discussionmentioning

confidence: 61%

“… 7 – 10 Our approach was similar to that of a recently published study. 11 Prediction equations were as follows:…”

Section: Methodsmentioning

confidence: 99%

“… 5 , 6 There is a known positive correlation between 6MWT distance and

,which has led to the creation of several prediction equations to estimate CRF using the 6MWT distance. 7 – 10 While evidence suggests that the 6MWT and prediction equations using the 6MWT are not valid measures for predicting

in the HF population, 11 no study has examined this relationship following CR participation. Therefore, the primary purpose of this report was to assess the agreement between

predicted by equations using 6MWT distance and

measured by CPX to estimate change in

in patients with HF enrolled in CR.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Using the 6-min Walk Test to Monitor Peak Oxygen Uptake Response to Cardiac Rehabilitation in Patients With Heart Failure

Chirico

Davidson

Terada

et al. 2020

Journal of Cardiopulmonary Rehabilitation and Prevention

View full text Add to dashboard Cite

show abstract

“…Our findings are supported by a recent study evaluating the agreement of

prediction equations derived from the 6MWT in patients with HF at a single time point. 11 This study found the Cahalin et al 8 equation to be the most accurate at predicting measured

Section: Discussionmentioning

confidence: 61%

“… 11 This study found the Cahalin et al 8 equation to be the most accurate at predicting measured

.…”

Section: Discussionmentioning

confidence: 61%

“… 7 – 10 Our approach was similar to that of a recently published study. 11 Prediction equations were as follows:…”

Section: Methodsmentioning

confidence: 99%

“… 5 , 6 There is a known positive correlation between 6MWT distance and

in the HF population, 11 no study has examined this relationship following CR participation. Therefore, the primary purpose of this report was to assess the agreement between

predicted by equations using 6MWT distance and

measured by CPX to estimate change in

in patients with HF enrolled in CR.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Using the 6-min Walk Test to Monitor Peak Oxygen Uptake Response to Cardiac Rehabilitation in Patients With Heart Failure

Chirico

Davidson

Terada

et al. 2020

Journal of Cardiopulmonary Rehabilitation and Prevention

View full text Add to dashboard Cite

show abstract

“…Whilst all the indices of physical fitness are correlated to each other, the strength of this relationship is often surprisingly weak[49*] and it is unclear whether alternative approaches will be as effective at predicting adverse outcome as CPET, the technology with the vast majority of data. Data collection for the international multicenter Measuring Exercise Tolerance after Surgery (METS) study [50*] recently completed (target sample size 1723 patients).…”

Section: Personalizing Prehabilitative and Post-icu Exercise Intervenmentioning

confidence: 99%

Muscle mass and physical recovery in ICU: innovations for targeting of nutrition and exercise

Wischmeyer

Puthucheary

Millán

et al. 2017

Current Opinion in Critical Care

View full text Add to dashboard Cite

Purpose of Review We have significantly improved hospital mortality from sepsis and critical illness in last 10 years, however over this same period we have tripled the number of “ICU survivors” going to rehabilitation. Further, as up to half the deaths in the first year following ICU admission occur post-ICU discharge, it is unclear how many of these patients ever returned home or a meaningful quality of life (QoL). For those who do survive, recent data reveals many “ICU survivors” will suffer significant functional impairment or Post-ICU Syndrome (PICS). Thus, new innovative metabolic and exercise interventions to address PICS are urgently needed. These should focus on optimal nutrition and lean body mass (LBM) assessment, targeted nutrition delivery, anabolic/anti-catabolic strategies, and utilization of personalized exercise intervention techniques, such as utilized by elite athletes to optimize preparation and recovery from critical care. Recent findings New data for novel LBM analysis technique such as CT scan and ultrasound analysis of lean body mass are available showing objective measures of LBM now becoming more practical for predicting metabolic reserve and effectiveness of nutrition/exercise interventions. 13C-breath testing is a novel technique under study to predict infection earlier and predict over- and under-feeding to target nutrition delivery. New technologies utilized routinely by athletes such as muscle glycogen ultrasound also show promise. Finally, the role of personalized cardiopulmonary exercise testing (CPET) to target pre-operative exercise optimization and post-ICU recovery are becoming reality. Summary New innovative techniques are demonstrating promise to target recovery from PICS utilizing a combination of objective LBM and metabolic assessment, targeted nutrition interventions, personalized exercise interventions for prehabilitation and post-ICU recovery. These interventions should provide hope that we will soon begin to create more “survivors” and fewer victim's post-ICU care.

show abstract

Internet of Things (IoT) System and Field Sensors for Exercise Intensity Measurements

Masuki

Morikawa

Nosé

2020

Comprehensive Physiology

View full text Add to dashboard Cite

Although exercise training according to individual peak aerobic capacity ( Vo 2peak ) has been recommended at all ages, sensors available in the field are limited. The most popular sensors in the field are pedometers, but they cannot be used to monitor exercise intensity. Instead, although heart rate (HR) monitors are broadly available in the field to estimate exercise intensity, HR responses to exercise vary by individual according to physical fitness and environmental conditions, which hinders the precise measurement of energy expenditure. These issues make it difficult for exercise physiologists to collaborate with geneticists, nutritionists, and clinicians using the internet of things (IoT). To conquer these problems, we have developed a device that is equipped with a triaxial accelerometer and a barometer to measure energy expenditure during interval walking training (IWT) in the field with inclines. IWT is a training regimen to repeat fast and slow walking for 3 min each, equivalent to greater than 70% and approximately 40% of individual Vo 2peak , respectively. Additionally, we developed an IoT system that enables users to receive instructions from trainers according to their walking records even if they live far away. Since the system is available at low cost with minimum personnel, we can investigate any factors affecting the adherence to and effects of IWT in a large population for a long period. This system was also used to verify any effects of nutritional supplements during IWT and to examine the value of applying IWT to clinical medicine.

show abstract

Could peak oxygen uptake be estimated from proposed equations based on the six-minute walk test in chronic heart failure subjects?

Abstract: HighlightsMeasured and estimated VO2peak in CHF patients showed a moderate association.With the exception of equation 1, all equations underestimated VO2peak by up to 51%.The agreement evaluated using Bland–Altman was not consistent.

Cited by 10 publications

References 23 publications

Using the 6-min Walk Test to Monitor Peak Oxygen Uptake Response to Cardiac Rehabilitation in Patients With Heart Failure

Using the 6-min Walk Test to Monitor Peak Oxygen Uptake Response to Cardiac Rehabilitation in Patients With Heart Failure

Muscle mass and physical recovery in ICU: innovations for targeting of nutrition and exercise

Internet of Things (IoT) System and Field Sensors for Exercise Intensity Measurements

Contact Info

Product

Resources

About