Relationship between double product break point, lactate threshold, and ventilatory threshold in cardiac patients

2004 ◽  
Vol 91 (2-3) ◽  
pp. 224-229 ◽  
Author(s):  
Kazuto Omiya ◽  
Haruki Itoh ◽  
Naomi Harada ◽  
Tomoko Maeda ◽  
Akihiko Tajima ◽  
...  
Keyword(s):  
Lactate Threshold ◽  
Ventilatory Threshold ◽  
Break Point ◽  
Cardiac Patients ◽  
Double Product

scholarly journals Determination of Ventilatory Threshold Using Double Product in Cardiac Patients.

1995 ◽  
Vol 27 (Supplement) ◽  
pp. S48
Author(s):  
A. Kiyonaga ◽  
P. H. Brubaker ◽  
H. Tanaka ◽  
B. Matrazzo ◽  
W. E. Pollock ◽  
...  
Keyword(s):  
Ventilatory Threshold ◽  
Cardiac Patients ◽  
Double Product

scholarly journals Double product break point estimates ventilatory threshold in individuals with type 2 diabetes

2016 ◽  
Vol 28 (6) ◽  
pp. 1775-1780 ◽  
Author(s):  
Caio Victor de Sousa ◽  
Marcelo Magalhães Sales ◽  
Samuel da Silva Aguiar ◽  
Daniel Alexandre Boullosa ◽  
Thiago dos Santos Rosa ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Ventilatory Threshold ◽  
Break Point ◽  
Double Product ◽  
Point Estimates

scholarly journals A novel device for detecting anaerobic threshold using sweat lactate during exercise

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuta Seki ◽  
Daisuke Nakashima ◽  
Yasuyuki Shiraishi ◽  
Toshinobu Ryuzaki ◽  
Hidehiko Ikura ◽  
...  
Keyword(s):  
Lactate Threshold ◽  
Ventilatory Threshold ◽  
Recovery Period ◽  
Lactate Concentration ◽  
Continuous Increase ◽  
Mean Values ◽  
Additional Information ◽  
Novel Device ◽  
Mean Differences ◽  
Lactate Sensor

AbstractThe lactate threshold (LT1), which is defined as the first rise in lactate concentration during incremental exercise, has not been non-invasively and conveniently determined in a clinical setting. We aimed to visualize changes in lactate concentration in sweat during exercise using our wearable lactate sensor and investigate the relationship between the lactate threshold (LT1) and ventilatory threshold (VT1). Twenty-three healthy subjects and 42 patients with cardiovascular diseases (CVDs) were enrolled. During exercise, the dynamic changes in lactate values in sweat were visualized in real-time with a sharp continuous increase up to volitional exhaustion and a gradual decrease during the recovery period. The LT1 in sweat was well correlated with the LT1 in blood and the VT1 (r = 0.92 and 0.71, respectively). In addition, the Bland–Altman plot described no bias between the mean values (mean differences: − 4.5 and 2.5 W, respectively). Continuous monitoring of lactate concentrations during exercise can provide additional information for detecting the VT1.

The importance of first and second ventilatory thresholds to define aerobic exercise intensity in cardiac patients and in healthy subjects: what is essential can be visible to the eyes

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
F Anselmi ◽  
L Cavigli ◽  
A Pagliaro ◽  
S Valente ◽  
F Valentini ◽  
...  
Keyword(s):  
Exercise Intensity ◽  
Healthy Subjects ◽  
Ventilatory Threshold ◽  
Cardiopulmonary Exercise Testing ◽  
Cardiac Patients ◽  
Funding Sources ◽  
Peak Vo2 ◽  
Definition Of ◽  
Very High ◽  
Sedentary Subjects

Abstract Funding Acknowledgements Type of funding sources: None. Background. Although structured exercise training is strongly recommended in cardiac patients, uncertainties exist about the methods for determining exercise intensity (EI) and their correspondence with effective EI obtained by ventilatory thresholds. We aimed to determine the first (VT1) and second ventilatory threshold (VT2) in cardiac patients, sedentary subjects and athletes comparing VT1 and VT2 with EI defined by recommendations. Methods. We prospectively enrolled 350 subjects (mean age: 50.7 ± 12.9 years; 167 cardiac patients, 150 healthy sedentary subjects, 33 competitive endurance athletes). Each subject underwent ECG, echocardiography, and cardiopulmonary exercise testing. The percentages of peak VO2, peak heart rate (HR), and HR reserve were obtained at VT1 and VT2, and compared with EI definition proposed by the recommendations. Results. VO2 at VT1 corresponded to high rather than moderate EI in 67.1% and in 79.6% of cardiac patients, applying the definition of moderate exercise by the previous recommendations and the 2020 guidelines, respectively. Most of cardiac patients had VO2 values at VT2 corresponding to very-high rather than high EI (59.9% and 50.3%, by previous recommendations and 2020 guidelines, respectively). A better correspondence between ventilatory-thresholds and recommended EI domains was observed in healthy subjects and in athletes (90% and 93.9%, respectively). Conclusions. EI definition based on percentages of peak HR and peak VO2 may misclassify the effective EI and the discrepancy between the individually determined and the recommended EI is particularly relevant in cardiac patients. A ventilatory threshold-based rather than a range-based approach is advisable in order to define an appropriate level of EI. Abstract Figure.

Which common NIRS variable reflects muscle estimated lactate threshold most closely?

2006 ◽  
Vol 31 (5) ◽  
pp. 612-620 ◽  
Author(s):  
Lixin Wang ◽  
Takahiro Yoshikawa ◽  
Taketaka Hara ◽  
Hayato Nakao ◽  
Takashi Suzuki ◽  
...  
Keyword(s):  
Lactate Threshold ◽  
Near Infrared ◽  
Ventilatory Threshold ◽  
Lactate Concentration ◽  
Blood Lactate Concentration ◽  
Oxygenation Index ◽  
Muscle Lactate ◽  
Tissue Oxygenation Index ◽  
The Mean ◽  
Tissue Hemoglobin

Various near-infrared spectroscopy (NIRS) variables have been used to estimate muscle lactate threshold (LT), but no study has determined which common NIRS variable best reflects muscle estimated LT. Establishing the inflection point of 2 regression lines for deoxyhaemoglobin (ΔHHbi.p.), oxyhaemoglobin (ΔO2Hbi.p.), and tissue oxygenation index (TOIi.p.), as well as for blood lactate concentration, we then investigated the relationships between NIRS variables and ventilatory threshold (VT), LT, or maximal tissue hemoglobin index (nTHImax) during incremental cycling exercise. ΔHHbi.p. and TOIi.p. could be determined for all 15 subjects, but ΔO2Hbi.p. was determined for only 11 subjects. The mean absolute values for the 2 measurable slopes of the 2 continuous linear regression lines exhibited increased changes in 3 NIRS variables. The workload and VO2 at ΔO2Hbi.p. and nTHImax were greater than those at VT, LT, ΔHHbi.p., and TOIi.p.. For workload and VO2, ΔHHbi.p. was correlated with VT and LT, whereas ΔO2Hbi.p. was correlated with nTHImax, and TOIi.p. with VT and nTHImax. These findings indicate that ΔO2Hb strongly corresponds with local perfusion, and TOI corresponds with both local perfusion and deoxygenation, but that ΔHHb can exactly determine deoxygenation changes and reflect O2 metabolic dynamics. The finding of strongest correlations between ΔHHb and VT or LT indicates that ΔHHb is the best variable for muscle LT estimation.

EFFECTS OF 3 MONTHS TRAINING UPON VENTILATORY THRESHOLD OF CARDIAC PATIENTS

1983 ◽  
Vol 15 (2) ◽  
pp. 91
Author(s):  
H. S. Miller ◽  
W. T. Boone ◽  
T. L. Glover ◽  
P. M. Ribisl
Keyword(s):  
Ventilatory Threshold ◽  
Cardiac Patients

Association between the anaerobic threshold and the break-point in the double product/work rate relationship

1996 ◽  
Vol 75 (1) ◽  
pp. 14-21 ◽  
Author(s):  
M. Riley ◽  
K. Maehara ◽  
J. P�rsz�sz ◽  
M. P. K. J. Engelen ◽  
H. Tanaka ◽  
...  
Keyword(s):  
Anaerobic Threshold ◽  
Break Point ◽  
Work Rate ◽  
Double Product ◽  
Rate Relationship

IDENTIFICATION OF THE DOUBLE PRODUCT BREAK POINT IN PATIENTS WITH CHRONIC HEART FAILURE. 11:30 AM

1999 ◽  
Vol 19 (5) ◽  
pp. 288
Author(s):  
M. Resnik ◽  
M. Halac ◽  
S. Thal ◽  
M. Bianconi ◽  
L. Saavedra Ruiz ◽  
...  
Keyword(s):  
Heart Failure ◽  
Chronic Heart Failure ◽  
Break Point ◽  
Double Product

Measurement of Ventilatory Threshold by Respiratory Frequency

2002 ◽  
Vol 94 (3) ◽  
pp. 851-859 ◽  
Author(s):  
Teru Nabetani ◽  
Takeshi Ueda ◽  
Keisuke Teramoto
Keyword(s):  
Respiratory Rate ◽  
Treadmill Exercise ◽  
Ventilatory Threshold ◽  
Pulmonary Ventilation ◽  
Break Point ◽  
Cycle Ergometer ◽  
Respiratory Frequency ◽  
Treadmill Test ◽  
Cycle Ergometer Test ◽  
Ergometer Test

This study was conducted to assess whether respiratory frequency can be used as a valid parameter for estimating ventilatory threshold and for examining differences in exercise modes such as a cycle ergometer and a treadmill. 24 men and 12 women performed an incremental exercise test to exhaustion on a cycle ergometer and on a treadmill. Oxygen uptake, carbon dioxide output, pulmonary ventilation, ventilatory frequency, and heart rate were measured continuously every 30 sec. during the test. Three different and independent reviewers detected the ventilatory threshold point and break point of respiratory rate, which were then compared. Analysis indicated that (1) ventilatory threshold was well correlated with break point of respiratory rate for both cycle ( r = .88, p<.001) and treadmill exercise ( r = .96, p<.001). However, on the average, ventilatory threshold was only 71% (cycle) or 88% (treadmill) of break point of respiratory rare. (2) The regression equation for treadmill exercise was more accurate than that for cycling, but the detected data samples were smaller. The break point of respiratory rate was more easily detected for the cycle ergometer test (33 of 36 subjects) than for the treadmill test (only 15 of 36). The cycle ergometer test identified the break point of respiratory rate more easily than did the treadmill test. (3) There was an association between physical fitness and whether the break point of respiratory rate was detectable, and the more fit the subject (above average), the more likely the break point was to be undetected. Our study demonstrates that the break point of respiratory rate is closely associated with ventilatory threshold and that the cycle ergometer test is more conducive than the treadmill test to the detectability of break point of respiratory rate.

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