[Cardiopulmonary exercise testing was used to evaluate objectively and quantitatively the holistic function in patients after neoadjuvant chemotherapy].

Objective: Cardiopulmonary exercise testing(CPET)was used to evaluate objectively and quantitatively the holistic function in patients accepted preoperative chemotherapy. Methods: This study investigated reliable objective and quantitative assessment methods of symptom limited maximal incremental CPET before and after chemotherapy in patients with 6 esophageal cancer. We re-analyzed the changes in cardiopulmonary, metabolism, and other functions physiologic parameters of CPET. Results: After patients accepted preoperative chemotherapy,Peak oxygen consumption (Peak VO2)(P<0.05), anaerobic threshold (AT) and peak oxygen pulse (Peak O2 paulse), oxygen uptake efficiency plateau (OUEP)were decreased (P<0.01). The lowest of ventilatory equivalent for carbon dioxide and slope of ventilatory equivalent for carbon dioxide were increased (P<0.05). For individual of all patients, except one patient's Peak VO2 and OUEP slightly increased,all of the above indicators were reduced in the remaining patients. The lowest of ventilatory equivalent for carbon dioxide and slope of ventilatory equivalent for carbon dioxide increased in all the patients,except one patient's slope of ventilatory equivalent for carbon dioxide decreased slightly. The heart rate of 6 patients showed an upward trend in each state, but there was no statistical difference. Three of the 6 patients had blood pressure measurement, and the other 3 patients had a significant decrease in diastolic blood pressure (P<0.05) except at extreme state.The patients had lower oxygen uptake at AT(P<0. 01) and extreme state (P<0. 05) than that before chemotherapy. The oxygen uptake efficiency in a warm-up state(P<0. 01),and an AT state(P<0. 05)after chemotherapy were lower than those before chemotherapy. The ventilator equivalent for carbon dioxide after chemotherapy was in the each states presented an upward trend, but only ventilator equivalent for carbon dioxide after in the warm-up state (P<0.05) and AT(P<0.01) had statistical significance. oxygen pulse in all four states showed a decreasing trend, and only at AT (P<0.05) showed a significant decrease.After chemotherapy,the PETCO2 in a warm-up state after chemotherapy was lower than that before chemotherapy(P<0. 05); the PETO2 in a quiescent state,a warm - up state,and an extreme state after chemotherapy were higher than those before chemotherapy;but there was nosignificant difference. Conclusion: The holistic functional capacity of patients with esophageal significantly decreased after 136 days chemotherapy. The circulatory functionalandentilator functional parameters significantly decreased after chemotherapy.

[Effect of different work rate increasing rate on the overall function evaluation of cardiopulmonary exercise testing I-peak parameters and changes in respiratory exchange rate].

Objective: To observe the effect of healthy volunteers different work rate increasing rate cardiopulmonary exercise test (CPET) on the peak exercise core indicators and the changes of respiratory exchange rate (RER) during exercise, to explore the effect of different work rate increasing rate on CPET peak exercise related indicators. Methods: Twelve healthy volunteers were randomly assigned to a moderate (30 W/min), a relatively low (10 W/min) and relatively high (60 W/min) three different work rate increasing rate CPET on different working days in a week. The main peak exercise core indicators of CPET data: VO2, VCO2, work rate (WR), breathe frequency(Bf), tidal volume (VT), ventilation (VE), heart rate (HR), blood pressure (BP), Oxygen pulse(O2P), exercise time and RER for each period of CPET were analyzed using standard methods. The ANOVA test and paired two-two comparison was performed on the difference of each index in the three groups of different work rate increasing rate. Results: Compared with the moderate work rate group, the peak work rate of the lower and higher work rate groups were relatively lower and higher, respectively ((162.04±41.59) W/min vs (132.92±34.55) W/min vs (197.42±46.14) W/min, P<0.01); exercise time was significantly prolonged and shortened ((5.69 ± 1.33) min vs (13.49 ± 3.43) min vs (3.56 ± 0.76) min, P<0.01); peak RER (1.27 ± 0.07 vs 1.18 ± 0.06 vs 1.33 ± 0.08, P<0.01~P<0.05) and the recovery RER maximum (1.72±0.16 vs 1.61±0.11 vs 1.81±0.14, P<0.01~P<0.05) were significantly decreased and increased. Conclusion: Different work rate increasing rate of CPET significantly change the Peak Work Rate, exercise time, Peak RER, and maximum RER during recovery. The CPET operator should choose an individualized work rate increasing rate that is appropriate for the subject, and also does not use a fixed RER value as a basis for ensuring safety, the subject's extreme exercise, and early termination of exercise.

[Effect of different work rate increasing rate on the overall function evaluation of cardiopulmonary exercise testing II- sub-peak parameters].

Objective: To observe the effect of healthy volunteers different work rate increasing rate cardiopulmonary exercise testing (CPET) on the sub-peak parameters . Methods: Twelve healthy volunteers were randomly assigned to a moderate (30 W/min), a relatively low (10 W/min) and relatively high (60 W/min) three different work rate increasing rate CPET on different working days in a week. The core indicators related to CPET sub-peak exercise of 12 volunteers were compared according to standard Methods: anaerobic threshold (AT), oxygen uptake per unit power (ΔVO2/ΔWR), oxygen uptake eficiency plateau,（OUEP), the lowest average of 90 s of carbon dioxide ventilation equivalent (Lowest VE/ VCO2), the slope of carbon dioxide ventilation equivalent (VE/ VCO2 Slope) and intercept and anaerobic threshold oxygen uptake ventilation efficiency value (VO2/ VE@AT) and the anaerobic threshold carbon dioxide ventilation equivalent value (VE/ VCO2@AT). Paired t test was performed on the difference of each parameter in the three groups of different work rate increasing rate. Results: Compared with the relatively low and relatively high work rate increasing rate group, the moderate work rate increasing rate group uptake eficiency plateau, (42.22±4.76 vs 39.54±3.30 vs 39.29±4.29) and the lowest average of 90 s of carbon dioxide ventilation equivalent (24.13±2.88 vs 25.60±2.08 vs 26.06±3.05) was significantly better, and the difference was statistically significant (P<0.05); Compared with the moderate work rate increasing rate group, the oxygen uptake per unit work rate of the relatively low and relatively high work rate increasing rate group increased and decreased significantly ((8.45±0.66 vs 10.04±0.58 vs 7.16±0.60) ml/(min·kg)), difference of which was statistically significant (P<0.05); the anaerobic threshold did not change significantly ((0.87±0.19 vs 0.87±0.19 vs 0.89±0.19) L/min), the difference was not statistically significant (P>0.05). Conclusion: Relatively low and relatively high power increase rate can significantly change the CPET sub-peak sports related indicators such as the effectiveness of oxygen uptake ventilation, the effectiveness of carbon dioxide exhaust ventilation, and the oxygen uptake per unit work rate. Compared with the moderate work rate increasing rate CPET, the lower and higher work rate increasing rate significantly reduces the effectiveness of oxygen uptake ventilation and the effectiveness of carbon dioxide exhaust ventilation in healthy individuals. The standardized operation of CPET requires the selection of a work rate increasing rate suitable for the subject, so that the CPET sub-peak related indicators can best reflect the true functional state of the subject.

[The effectiveness of different respiration models to the amplitude of waveform information in arterial blood gas].

Objective: The objective is to find the characteristics of arterial blood sample waveform in different respiration models. Methods: Six post-operative patients with normal heart function and negative Allen test, were 4 male and 2 female, (59.00±16.64)year, (71.67±0.37)kg, left ventricular ejection fraction(LVEF) (61.33±2.16)%, had been placed the arterial catheterization and central venous catheterization for continuous collecting arterial in 3 different kinds of respiration models: normal breathing, no breathing and deep breathing. We selected two breaths cycles of waveform from each patient for data calculations of magnitudes and time interval. Compare the adjacent highest and lowest values of patients to verify whether there are periodic wave-like signal changes in arterial and venous blood gas in the three breathing states. In addition, statistical t-test analysis was performed on the change amplitude of the periodic wave-like signal of the patient's arterial and venous blood gas to compare whether there is a difference. Results: The heart beat numbers for drawing blood into pipe were 15-16, and all covered more than 2 breathing cycles. There were significant changes of arterial PaO2 (i.e. the highest high values compare to the next lowest values, P<0.05) in three different breathing models(normal, no breathing and high breathing), the magnitudes of which were (9.96±5.18)mmHg, (5.33±1.55)mmHg and (13.13±7.55)mmHg, with (8.09±2.43)%, (5.29±2.19)% and (10.40±2.68)% from their mean respectively. PO2 in venous blood gas did not show wavy changes under normal breathing, 20 s breath holding and high tidal volume ventilation. The amplitudes were (1.63 ± 0.41) mmHg, (1.13 ± 0.41) mmHg and (1.31 ± 0.67) mmHg, which were (3.91 ± 1.22)%, (2.92 ± 1.12)%, (3.33 ± 1.81)%, respectively, which were significantly lower than that of arterial blood gas under the same state, but there was no significant difference between groups. Conclusion: With continuous beat-by-beat arterial blood sampling and ABG analyzing method in three different breathing models, We obtain a clear evidence of the biggest periodic parameters ABG waveform in high breathing models, which followed by normal breathing models, no breathing was the smallest, and the wave variation amplitude of venous oxygen partial pressure was not obvious in the three respiratory states, which implies the oscillatory information of the arterial blood with comes from the gas exchanging in the lung.

[The experimental evidence of waveform information in arterial blood gas by beat-by-beat sampling method in human body-the differences of waveform information between arterial and venous blood samples].

Objective: The arterial blood with the oscillatory information comes from the right heart system after gas exchanging in the lung. However, the evidence of the waveform of venous ABG is lack. The objectives of this article are to compare the different information between arterial and venous beat-by-beat blood sample at the same time. Methods: Six post-operative patients with normal heart function and negative Allen test, had been placed the arterial catheterization and central venous catheterization directly connected to pre-heparin plasticpipes for continuous collecting arterial and venous blood. We twisted the 2 pipes into helix formation. After drawing arterial and venous blood with syringes in one heart beat with one helix at the same time, totally 15 heart beats, clipping the pipes with forceps, we put the helix pipe into icedwater at once and analyses PaO2, PaCO2, pH and SaO2 as soon as possible. We selected two breathscycles of waveform from each patient for data calculations of magnitudes and time interval. Results: The heart beat numbers for drawing blood into pipe were 15~16, and all covered more than 2 breathing cycles. There were significant changes of arterial PaO2(i.e. the highest high values compare to the next lowestvalues, P<0.05), but no significant changes in venous blood(P>0.05). The magnitudes of changing PaO2 in arterial and venous blood sample were (9.96±5.18)mmHg and (1.63±0.41)mmHg with significant variance(P=0.010), and they were (8.09±2.43)% and (3.91±1.22)%from their mean with significant variance(P=0.009) respectively. Conclusion: With continuous beat-by-beat arterial and venous blood sampling and ABG analyzing method at the same time, we obtain a clear evidence of periodic parameters ABG waveform, which following breathing cycle, but no clear ABG waveform of the periodic parameters in the venous blood samples, which implies the oscillatory information of the arterial blood with comes from the gas exchanging in the lung.

[A preliminary report on the variation of respiratory heart rate during sleep in normal subjects and patients with chronic diseases without sleep apnea].

Objective: The new theory of holistic integrative physiology and medicine, which describes the integrative regulation of respiratory, circulatory and metabolic systems in human body, generates the hypothesis of that breath is the origin of variability of circulatory parameters. We investigated the origin of heart rate variability by analyzing relationship between the breath and heart rate variability (HRV) during sleep. Methods: This retrospective study analyzed 8 normal subjects (NS) and 10 patients of chronic diseases without sleep apnea (CDs-no-SA). After signed the informed consent form, they performed cardiopulmonary exercise testing (CPET) in Fuwai Hospital and monitored polysomnography (PSG) and electrocardiogram (ECG) during sleep since 2014. We dominantly analyzed the correlation between the respiratory cycle during sleep and the heart rate variability cycle of the ECG R-R interval. The HRV cycle included the HR increase from the lowest to the highest and decrease from the highest to the lowest point. The number of HRV (HRV-n), average HRV time and other parameters were calculated. The breath cycle included complete inhalation and subsequent exhalation. The number of breath (B-n), average breath time and other breath parameters were analyzed and calculated. We analyzed each person's relationship between breath and HRV; and the similarities and differences between the NS and CDs-no-SA groups. Independent sample t test was used for statistical analysis, with P<0.05. Results: CPET core parameter such as Peak VO2 (83.8±8.9)% in NS were significantly higher than that (70.1±14.9)% in patients of chronic diseases without sleep apnea (P<0.05), but there was no difference between their AHI (1.7±1.3) in NS and AHI (2.9±1.2) in CDs-no-SA (P>0.05). The B-n and the HRV-n (6581.63±1411.90 vs 6638.38±1459.46), the average B time and the average HRV time (4.19±0.57)s vs (4.16±0.62)s in NS were similar without significant difference (P>0.05). The comparison of the numbers in CDs-no-SA were the number (7354.50±1443.50 vs 7291.20±1399.31) and the average times ((4.20±0.69)s vs (4.23±0.68)s) of B and HRV were similar without significant difference (P>0.05). The ratios of B-n/HRV-n in NS and CDs-no-SA were (0.993±0.027 vs 1.008±0.024) and both were close to 1 and similar without significant difference (P>0.05). The average magnitude of HRV in NS ((5.74±3.21) bpm) was significantly higher than that in CDs-no-SA ((2.88±1.44) bpm) (P<0.05). Conclusion: Regardless of the functional status of NS and CDs-no-SA, there is a similar consistency between B and HRV. The origin of initiating factors of HRV is the respiration.

[Preliminary analysis of the influence of breathing on heart rate variability in chronically ill patients with sleep apnea].

Objective: Based on the hypothesis that respiration causes variability of circulatory indicators proposed by the holistic integrated physiology and medicine theory, the correlation between respiration and heart rate variability during sleep in chronically ill patients with abnormal sleep breathing is analyzed. Methods: Eleven chronically ill patients with abnormal sleep breathing and apnea-hypopnea index (AHI) ≥15 times/hr are recruited. After signing the informed consent, they completed the standardized symptomatic restrictive extreme exercise cardiopulmonary exercise testing (CPET) and sleep breathing monitoring Calculate and analyze the rules of respiratory nasal airflow and ECG RR interval heart rate variability during the oscillatory breathing (OB) phase and the normal steady breathing phase of the patient during sleep, and use the independent sample t test to compare with normal people and no sleep breathing abnormalities in the same period in this laboratory. Of patients with chronic diseases are more similar and different. Results: The peak oxygen uptake and anaerobic threshold (AT) of CPET in chronic patients with abnormal sleep apnea were (70.8±13.6)% Pred and (71.2±6.1)% Pred; 5 cases of CPET had exercise induced oscillatory breathing (EIOB), 6 An example is unstable breathing, which indicates that the overall functional status is lower than normal. In this group of patients with chronic diseases, AHI (28.8±10.0) beats/h, the ratio of the total time of abnormal sleep breathing to the total time of sleep (0.38±0.25); the length of the OB cycle (51.1±14.4)s. The ratio (Bn/HRV-B-n) of the number of breathing cycles in the normal and steady breathing period to the number of heart rate variability cycles in this group of patients with chronic diseases is 1.00±0.04, and the CV (SD of HRV-B-M/x) is (0.33 ±0.11), blood oxygen saturation (SpO2) did not decrease significantly, the average amplitude of heart rate variability (HRV-B-M) of each respiratory cycle rhythm was (2.64±1.59) bpm, although it was lower than normal people (P<0.05) , But it was similar to chronic patients without sleep apnea (P>0.05). In this group of patients with chronic diseases, the ratio of the number of respiratory cycles to the number of heart rate variability cycles (OB-Bn/OB-HRV-B-n) during OB is (1.22±0.18), and the average amplitude of heart rate variability for each respiratory cycle rhythm in OB (OB -HRV-B-M) is (3.56±1.57)bpm and its variability (OB-CV = SD of OB-HRV-B-M/x) is (0.59±0.28), the average amplitude of heart rate variability in each OB cycle rhythm (OB-HRV-OB-M) is (13.75±4.25)bpm, SpO2 decreases significantly during hypoventilation during OB, and the average decrease in SpO2 during OB (OB-SpO2-OB-M) is (4.79±1.39)%. The OB-Bn/OB-HRV-B-n ratio, OB-HRV-OB-M and OB-SpO2-OB-M in the OB period are all significantly higher than the corresponding indicators in the normal stable breathing period Large (P<0.01). Although OB-HRV-B-M has no statistically significant difference compared with HRV-B-M in normal stable breathing period (P>0.05), its variability OB-CV is significantly increased (P<0.01). Conclusion: The heart rate variability of chronic patients with abnormal sleep breathing in the OB phase is greater than that of the normal stable breathing period. When the breathing pattern changes, the heart rate variability also changes significantly. The number of breathing cycles in the stable breathing period is equal to the number of heart rate variability cycles.The ratio is the same as that of normal people and chronically ill patients without sleep apnea, confirming that heart rate variability is respiratory origin; and the reduction of heart rate variability relative to the respiratory cycle during OB is directly caused by hypopnea or apnea at this time, and heart rate variability is also breathing source.

[Preliminary report on partial pressure changes of oxygen and carbon dioxide in umbilical artery and vein before and after the first breath in Chinese neonates II-The personalized analysis of partial pressure of oxygen and carbon dioxide difference between umbilical artery and vein at same time in same newborn].

Objective: In order to explore the mechanism of neonatal spontaneous breathing, the difference of oxygen and carbon dioxide between umbilical cord arteries and veins before the start of spontaneous breathing after birth has been analyzed among people. In this part, the related information is analyzed individually. Methods: After all fetal parents signed the informed consent before birth, and before the newborn was born and did not breathe, the umbilical cord was exposed as quickly as possible, and the heparinized arterial indwelling needle was inserted into the umbilical artery and umbilical vein in the direction of newborn and placenta, and then blood was taken continuously. Although dozens of mothers were selected,but only 3 cases were collected from Pua and Puv blood samplers at the same time for blood gas analysis and determination, and the differences and dynamic changes of umbilical vein and umbilical artery were calculated and analyzed. Results: In all 3 none spontaneous breathing newborns,PuvO2 was significantly higher than PuaO2 at the same time (P<0.01), with an average difference of (24.17±7.09) mmHg; while PuvCO2 was significantly lower than PuaCO2 (all P<0.01), with an average difference of (-7.67±3.70) mmHg.The difference of Puv-uaO2 was significantly higher than those of Puv-uaCO2 (P<0.05). Conclusion: PuaO2 decreases gradually with time (heartbeat frequency) before spontaneous breathing after the delivered fetus as a newborn, and it induces the first inhalation to start spontaneous breathing when it reaches the threshold of triggering breathing.

[Preliminary report on partial pressure changes of oxygen and carbon dioxide in umbilical artery and vein before and after the first breath in Chinese neonates I-The group difference of partial pressure of oxygen and carbon dioxide between umbilical artery and vein in newborns].

Objective: The fetus has no actual respiration, and the newborn begins to breathe after birth. We assume that the first breath dominantly generated by hypoxia. In this study, the changes and lowest limit of blood oxygen partial pressureof umbilical artery (PuaO2) after chemoreceptor were analyzed to explore the mechanism of neonatal spontaneous breathing. Methods: With signed consent form by all fetal parents before birth, 14 newborns successfully completed the umbilical artery or vein catheterization and drawn blood according to the heartbeat. All blood samples analyzed by blood gas analyzer,calculated and analyzed the similarities and differences between umbilical vein(Puv) and umbilical artery(Pua). Results: Although we completed 14 newborns, there were only 9 cases of umbilical artery samples and 8 cases of umbilical vein samples were collected. Only 3 cases collected both Pua and Puv blood samples at the same time (see serial paper II). PuaO2 in gradually decreased with time (heartbeat frequency), until Pua contracted after spontaneous breathing produced about 8~10 heartbeats, and then could not get enough blood samples. Only 3 newborns were able to take blood samples after spontaneous breathing for 8~10 heartbeats, and their PuaO2 were jumped to 186.0, 137.0 and 93.8 mmHg respectively. The mean value of PuaO2 was (25.94±6.79, 18.04~37.51)mmHg, the highest value was (29.11±6.46, 23.00~45.90)mmHg, and the lowest value was (21.34±5.54, 14.00~33.60)mmHg. Although PuvO2 decreased gradually with time (heartbeat) too, most of them also showed the tendency of alternately rising and falling with the regularity of mother's respiration. The mean value of PuvO2 was (53.35±21.35, 32.56~100.73)mmHg, the highest value was (90.38±48.44, 43.40~153.00)mmHg, and the lowest value was (36.96±14.90, 24.80~73.80)mmHg. Although there were large individual differences, the mean, highest and lowest values of PuvO2 were significantly higher than those of PuaO2 (P<0.05); although PuvCO2 slightly lower than PuaCO2, it was no significant difference (P>0.05). Conclusion: PuaO2 decreases gradually with time before spontaneous breathing after the delivered fetus as a newborn, and it induces the first inhalation to start spontaneous breathing when it reaches the threshold of triggering breathing.

[Max test verify further clinical research for whether individualized symptom-limited cardiopulmonary exercise testing is the maximum extreme exercise].

Objective: To verify that the cardiopulmonary exercise testing (CPET) performed by clinical subjects is the maximum extreme exercise, we designed The Max test（Max）during clinical CPET. We used Max to verify the accuracy of the quantitative CPET evaluation result, and whether it is feasible and safe to use the specific value of a certain index as the standard for stopping CPET. Methods: Two hundred and sixteen cases from Fuwai Hospital were selected during June 2017 to January 2019,including 41 healthy person（control group） and 175with cardiovascular diseases（patient group）,The patients had a CPET peak RER ≤ 1.10, or the peak heart rate and peak blood pressure were basically non-responsive.The Max was first attempted in 60 subjects,and this study is further expanded . When the CPET ended, they had a 5-minute break, then the Max, during which, they cycled with a velocity of ≥ 60 r/min, at a constant intensity equivalent to to 130% of peak work,until exhausted.The difference and percentage difference between the peak heart rate and the peak oxygen uptake were calculated. ①If the percentage difference of heart rate and oxygen uptake are all less than -10%,then the Max is defined as failure,otherwise it is succesful. 2 If the percentage difference is between -10%~10%, then the Max is successful, which proved that the CPET is precise.③If the difference is ≥10%, the Max is successful, which proves that the CPET is non-extreme exercise. Results: Patient group's Peak VO2(L/min,ml/(min·kg)),anaerobic threshold (L/min,ml/(min·kg),%pred),Peak VO2/HR(ml/beat, % pred),Peak RER,Peak SBP,Peak WR,peak heart rate,OUEP （ratio,%pred） were lower than those of the control group(P<0.05)．The VE/ VCO2 Slope （ratio,%pred）and Lowest VE/ VCO2（ratio,%pred） were higher in the patient group than in the control group (P<0.05)．No adverse events occurred during the CPET and Max in all cases. Among the 216 cases,Max was successful in 198 cases(91.7%)．CPET was proved to be maximum extreme exercise for 182 cases,non-maximum extreme exercise for 16 cases,and failed in 18 cases(8.3%)．Conclusion: For CPET with a low peak RER and a maximum challenge,the Max can confirm the accuracy of the objective quantitative assessment of CPET. Max is safe and feasible,and that deserved further research and clinical application.

[Normal reference values and predict equations of heart function].

OBJECTIVE: For heart functional parameters, we commonly used normal range. The reference values and predict formulas of heart functional parameters and their relationships with individual characteristics are still lack. METHODS: Left ventricular (LV) volumes (end-diastolic volume and end-systolic volume), stroke volume (SV), ejection fraction (EF) and cardiac output (CO) were measured by cardiac CT angiography (CAT) in 1 200 healthy Caucasian volunteers, men 807 and women 393, and age 20-90yr. The results are analyzed by high-accuracy three-dimensional imaging technology, and then measured the dynamic changes of the volumes of each atriam and ventricule during their contractions and relaxations. The gender, age, height and weight were analyzed by multiple linear regression to predict LV functional parameters. RESULTS: Except the LVEF was lower in man than in women (P < 0.001), all other LV functional parameters of EDV, ESV, SV, FE and CO were higher in man (P < 0.001). Multiple linear regression indicated that age, gender, height and weight are all independent factors of EDV, ESV and SV (P < 0.001). CO could be significantly predicted by age, gender and weight (P < 0.001), but not height (P > 0.05). The predict equation for CO (L x min(-1)) = 6.963+0.446 (Male) -0.037 x age (yr) +0.013 x weight (kg). CONCLUSION: Age, gender, height and weight are predictors of heart functions. The reference values and predict equations are important for noninvasive and accurate evaluation of cardiovascular disease and individualized treatment.

[Human experiments of metabolism, blood alkalization and oxygen effect on control and regulation of breathing. I: room air exercise test].

OBJECTIVE: Under the guidance of the holistic integrative physiology medicine, we reanalyzed the data during symptom-limited maximum cardiopulmonary exercise testing (CPET) in order to investigate control and regulatory mechanism of breathing. METHODS: This study investigated 5 normal volunteers who accepted artery catheter, performed CPET room air. Continuous measured pulmonary ventilation parameters and per minute arterial blood gas (ABG) analysis sample parameters during exercise. All CPET and ABG data changes were standard analyzed and calculated. RESULTS: With gradually increasing power, minute oxygen uptake(every breath oxygen uptake x respiratory rate = O2 paulse x heart rate) and minute ventilation (tidal volume x respiratory rate) showed nearly linear progressive increase during the CPET(compared with the rest stage, P < 0.05 - 0.001); Minute ventilation increased even more significant after the anaerobic threshold (AT) and respiratory compensation point. PaO2 was increased at recovery 2 minutes (P < 0.05); PaCO2 was decreased after anaerobic threshold 2 minutes (P < 0.05); [H+]a was increased from AT (P < 0.05), and rapidly raised at last 2 minutes, remained high at recovery. Lactate was increased rapidly from AT (compared with resting, P < 0.05); bicarbonate decreased rapidly from AT (compared with resting, P < 0.05) and it's changed direction was contrary to lactic acid. CONCLUSION: In order to overcome the resistance of the power during exercise, metabolic rate othe body increased, respiratory change depend upon the change metabolism, and the accumulation of acidic products exacerbated respiratory reactions at high intensity exercise.

[Human experiments of metabolism, blood alkalization and oxygen effect on control and regulation of breathing. II: room air exercise test after blood alkalization].

OBJECTIVE: Basis on the dynamic changes of the ventilation and arterial blood gas parameters to symptom-limited maximum cardiopulmonary exercise testing (CPET), we further investigate the effect of alkalized blood by drinking 5% NaHCO3 on ventilation during exercise. METHODS: After drinking 5% NaHCO3 75 ml (3.75 g) every 5 min, total dosage of 0.3 g/Kg, 5 volunteers repeated CPET. All CPET and ABG data changes were analyzed and calculated. At the same time, CPET and ABG parameters after alkalized blood were compared with those before alkalized blood (control) used paired t test. RESULTS: After alkalized blood, CPET response patterns of parameters of ventilation, gas exchange and arterial blood gas were very similar (P > 0.05). All minute ventilation, tidal volume, respiratory rate, oxygen uptake and carbon dioxide elimination were gradually increased from resting stage (P < 0.05-0.001), according to the increase of power loading. During CPET after alkalized blood, ABG parameters were compared with those of control: hemoglobin concentrations were lower, CaCO2 and pHa were increased at all stages (P < 0.05). The PaCO2 increased trend was clear, however only significantly at warm-up from 42 to 45 mmHg (P < 0.05). Compared with those of control, only the minute ventilation was decreased from 13 to 11 L/min at resting (P < 0.05). CONCLUSION: Even with higher mean CaCO2, PaCO2 and pHa, lower Hba and [H+]a, the CPET response patterns of ventilatory parameters after alkalized blood were similar.

[Human experiments of metabolism, blood alkalization and oxygen effect on control and regulation of breathing. III: pure oxygen exercise test after blood alkalization].

OBJECTIVE: After performed symptom-limited maximum cardiopulmonary exercise testing (CPET) before and after acute alkalized blood, we repeated CPET with pure oxygen. METHODS: Five volunteers, 3hr after alkalizing blood room air CPET, re-performed CPET inhaling from Douglas bag connected with pure oxygen tank. We compared with those of room air CPETs before and after alkalized blood. RESULTS: After alkalized blood oxygen CPET had a similar response pattern as those of CPETs before and after blood alkalization. During the CPET, all breath frequency, minute ventilation and tidal volume at each stage were similar to those of CPETs before and after alkalized blood (P > 0.05),except there was a lower peak tidal volume than those of both CPETs and a slightly higher resting minute ventilation only than CPET after alkalized blood (P > 0.05). After alkalized blood, oxygen CPET, all PaO2 and SaO2 and most Hb were lower than those of both CPETs (P < 0.05). The pHa and [HCO3-]a were higher than those of CPET before alkalized blood (P < 0.05); but were not CPET after alkalized blood (P > 0.05). PaCO2 was similar to that of CPET before alkalized blood (P > 0.05), but was lower than that of CPET after alkalized blood at resting and warm-up (P < 0.05); then was similar to both CPETs at anaerobic threshold (P > 0.05); but was higher at peak exercise higher than those of both CPETs (P < 0.01). Oxygen increased 2,3 volunteers' workload and time at AT and peak exercises. CONCLUSION: Respiratory response pattern to oxygen CPET after alkalized blood is similar to those of both CPETs before and after alkalized blood. The CPET response is dominantly depended upon metabolic rate, but not levels of pHa, PaCO2 and PaO2.

[Evidence of waveform information in arterial blood gas by beat-by-beat sampling method in patients with heart failure].

OBJECTIVE: We investigate the magnitudes of waveform changes of arterial blood gas (ABG) in patients with heart failure. METHODS: Five patients with heart failure were selected, continuous collecting radial artery blood and measured PaO2, PaCO2, pHa and Sao2. We selected two typical breaths cycles of waveform changes of ABG from each patient for data analysis. Comparison of the adjacent highest and lowest values to verify the presence of a periodic waveform changes of ABG, and in addition, we used t test to analysis the range of waveform changes of ABG in patients with heart failure and patients with normal cardiac function and compared whether the difference between them. RESULTS: The 5 patients (2 surgical and 3 ICU) with heart failure, were 4 male and 1 female, (69 ± 7)year, (169 ± 10) cm, (75 ± 19)kg, LVEF = (38 ± 3)%. The heart beat numbers for full blood into the blood sampling pipe were 17 ± 2, and all covered more than 2 breath cycles. There were significant changes of PaO2, PaCO2, [H+]a and SaO2 (P < 0.05). The magnitudes of changing PaO2, PaCO2, [H+]a and Sao2 were (7.94 ± 2.02)mmHg, (1.18 ± 0.56)mmHg, (0.54 ± 0.17)nmol/L and (0.21 ± 0.07)%, and they were (6.1 ± 1.5)%, (3.2 ± 1.5)%, (1.5 ± 0.5)% and (0.2 ± 0.1)% from their mean respectively. Even these magnitudes fo all ABG parameters were trendily lower than those of patients with normal cardiac function, but only PaO2 and [H+]a were significant (P < 0.05). CONCLUSION: Using this simple continuous beat-by-beat arterial blood sampling method, we obtained a clear evidence of periodic waveform of ABG parameters following by breath cycle in patients with heart failure, but the magnitude trendily be decreased.

[Preliminary report of using cardiopulmonary exercise testing guide exercise rehabilitation in patients with chronic heart failure].

OBJECTIVE: The exercise rehabilitation in patient with chronic heart failure (CHF) is standard clinical practice, but it is rare using CardioPulmonary Exercise Testing (CPET) guide to prescribe exercise rehabilitation in China. METHODS: We performed symptom limited maximal CPET in 10 patients with CHF, randomly divided into two groups: 5 patients as control without exercise and 5 exercise patients used Δ50%W intensity to exercise 30 min/d, 5 d/w, x12 w. Before and after 12 w rehabilitation, we evaluated functions. RESULTS: There were no significant difference between two groups patients (P > 0.05). The exercise duration was increased from 8 min to 23 min after rehabilitation (P < 0.001); distance 6 minutes walking was increased from 394 m to 470 m (P < 0.05); score of Minnesota quality of life was decreased from 25 to 3 in exercise group (P < 0.01). However, there were nosignificant changes in control group (P>0.05) and their changes were smaller than those in exercise group (P < 0.01). CONCLUSION: The CPET guiding exercise rehabilitation is safe and effective for patients with CHF.