Metabolic cost of unloading pedalling in different groups of patients with pulmonary hypertension and volunteers.

Recently, the parameter internal work (IW) has been introduced as change in oxygen uptake (VO2) between resting and unloading workload in cardiopulmonary exercise testing (CPET). The proportional IW (PIW) was defined as IW divided by VO2 at peak exercise. A second option is to calculate the PIW based on the workload [PIW (Watt)] by considering the aerobic efficiency. The aim of our study was to investigate whether IW and PIW differ between patients with and without pulmonary hypertension and healthy controls. Our study population consisted of 580 patients and 354 healthy controls derived from the Study of Health in Pomerania. The PIW was slightly lower in patients (14.2%) than in healthy controls (14.9%; p = 0.030), but the PIW (Watt) was higher in patients (18.0%) than in the healthy controls (15.9%; p = 0.001). Such a difference was also observed, when considering only the submaximal workload up to the VAT (19.8% in patients and 15.1% in healthy controls; p < 0.001). Since the PIW (Watt) values were higher in patients with pulmonary hypertension, this marker may serve as a useful CPET parameter in clinical practice. In contrast to most of the currently used CPET parameters, the PIW does not require a maximal workload for the patient. Further studies are needed to validate the prognostic significance of the PIW.

Proportional Internal Work-a New Parameter of Exercise Testing in Study of Health in Pomerania (SHIP).

PURPOSE: Cardiopulmonary exercise testing usually requires a maximal exhaustive effort by the patient and is time consuming. The purpose of this study was to assess whether the cost to initiate exercise termed "proportional internal work" (PIW) was related to cardiovascular disease (CVD) risk factors, ventilatory parameters, and mortality. METHODS: We used data from population-based Study of Health in Pomerania. A total of 2829 (49.5% female) study participants with a median age of 52 (42-62) yr were included. Standardized questionnaires were used to assess CV risk factors. The cardiopulmonary exercise testing was performed using a modified Jones protocol. Regression models adjusted for sex and age were used to relate PIW with CVD risk factors and ventilatory parameters. The PIW was calculated by the following formula: (Oxygen uptake at rest - Oxygen uptake without load)/V˙ o2peak ) × 100. Cox regression analysis was used to relate PIW and all-cause mortality. RESULTS: We identified a nonlinear association between PIW and percent predicted V˙ o2peak . Women had a 2.96 (95% CI, 2.61-3.32) greater PIW than men. With each year of age and every point in body mass index, the PWI increased by 0.04 (95% CI, 0.03-0.05) and 0.16 (95% CI, 0.12-0.20), respectively. After adjustment for age, sex, smoking, and body mass index, a 1-point greater PIW was associated with a 5% higher risk to die (HR = 1.05; 95% CI, 1.01-1.07). CONCLUSIONS: The PIW is a new cardiopulmonary exercise testing parameter related to CVD risk and all-cause mortality. Future studies should assess the prognostic relevance of PIW for CVD prevention.

A 10-year follow-up of key gas exchange exercise parameters in a general population: results of the Study of Health in Pomerania.

BACKGROUND: Cardiopulmonary exercise testing (CPET) is a frequently used method for the evaluation of the cardiorespiratory system. The prognostic relevance of the measured parameters is commonly known. Longitudinal data on cardiorespiratory fitness in a large sample of well-characterised healthy volunteers are rare in the literature. METHODS: CPET data of 615 healthy individuals who voluntarily took part in the Study of Health in Pomerania (SHIP) at three different measurement times were analysed. The median observation time was 10.5 years. The age range was 25-85 years. RESULTS: Over the observed timeframe and with increasing age, a decline in maximum power, peak oxygen uptake (V'O2peak) and oxygen uptake at anaerobic threshold (V'O2 @AT) was detectable. This decline was aggravated with increasing age. For the minute ventilation (V'E)/carbon dioxide production (V'CO2 ) slope, an increase was measured in individuals aged ≥50 years only. CONCLUSION: The present study affirms the decrease in aerobic capacity with increasing age in a selected, well-characterised, healthy study sample, which seems to be less pronounced in females.

Interobserver variability of ventilatory anaerobic threshold in asymptomatic volunteers.

BACKGROUND: The ventilatory anaerobic threshold (VO2@AT) has been used in preoperative risk assessment and rehabilitation for many years. Our aim was to determine the interobserver variability of AT using cardiopulmonary exercise (CPET) data from a large epidemiological study (SHIP, Study of Health in Pomerania). METHODS: VO2@AT was determined from CPET of 1,079 cross-sectional volunteers, according to American Heart Association guidelines. VO2@AT determinations were compared between two experienced physicians, between physicians and qualified medical assistants, and between physicians or medical assistants and software-based algorithms. For the first 522 data sets, the two physicians discussed discrepant readings to reach consensus; the remaining data sets were analyzed without consensus discussion. RESULTS: VO2@AT was detectable in 1,056 data sets. The physicians recorded identical VO2@AT values in 319 out of 522 cases before consensus discussion (61.1%; intraclass correlation coefficient [ICC]: 0.90; 95% confidence interval [CI]: 0.88-0.92) and in 700 out of 1,056 cases overall (66.3%; ICC: 0.95; 95% CI: 0.95-0.96), with an interobserver difference of 0 ± 8% (95% limits of agreement [LOA]: ±161 mL/min). The interobserver difference was - 2 ± 18% (95% LOA: ±418 mL/min) between a physician and medical assistants, and - 19 ± 24% to - 22 ± 26% (95% LOAs: ±719-806 mL/min) between physicians or medical assistants and software-based algorithms. CONCLUSIONS: Experienced physicians show high agreement when determining AT in asymptomatic volunteers. However, agreement between physicians and qualified medical assistants is lower, and there is substantial deviation in AT determination between physicians or medical assistants and software-based algorithms. This must be considered when using AT as a decision tool.