[Using changes of left cardiac functional parameters and CPET evaluated the clinical effectiveness of individualized precise exercise overall program management of chronic disease I --Analysis between groups].

Objective: To explore and study the clinical usefulness of continuous dynamic recording of left cardiac function changes forevaluation the improvement in patients with chronic disease after 3 months of intensive control of individualized precision exercise overall manage program. Methods: From 2018 to 2021, 21 patients with chronic cardiovascular and cerebrovascular metabolic diseases mainly controlled by our team were selected to complete the cardiopulmonary exercise test (CPET) and Non-invasive synchronous cardiac function detector (N-ISCFD), electrocardiogram, radial pulse wave, jugular pulse wave and cardiogram data were continuously recorded for 50s.According to the titration results under CPET and continuous functional parameters monitoring, a holistic plan with individualized moderate exercise intensity as the core was developed for 3 months of intensive management, and then N-ISCFD data collection was repeatedafter signing the informed consent. All N-ISCFD data were analyzed in the 50s according to the optimal report mode of Fuwai Hospital and 52 cardiac functional indexes were calculated. The data before and after the enhanced control were compared and the paired T-test was used to statistically analyze the changes of groups. Results: Twenty-one patients with chronic diseases (16 male and 5 female) were (54.05±12.77,29~75) years, BMI (25.53±4.04,16.62~31.7) kg/m2.Comparison with baseline,the whole group analysis: ①The body weight, BMI, systolic blood pressure and diastolic blood pressure of patients were significantly decreased(P＜0.01).②CPET Peak VO2 was (64.93±24.22, 26.96~103.48) %Pred before enhanced control, and (85.22±30.31, 43.95~140.48) %Pred after enhanced control, and increased (35.09±27.87, 0.12~129.35) % after enhanced control compared with before enhanced control. The AT, Peak VO2/HR, Peak Work Rate, OUEP, FVC, FEV1, FEV3/FVC% and MVV were significantly increased (P＜0.01) and the Lowest VE/VCO2 and VE/VCO2 Slope were significantly decreased(P＜0.01).③Core indicators of left heart function:Ejection fraction was significantly increased from (0.60±0.12,0.40~0.88) to(0.66±0.09, 0.53~0.87)(P＜ 0.01), by (12.39±14.90,-12.32~41.11)%. The total peripheral resistance was significantly decreased from (1579.52±425.45,779.46~2409.61) G/(cm4·s),to(1340.44±261.49,756.05~1827.01) G/(cm4·s)(P＜0.01), by (12.00±17.27,37.79~28.61) %.The left stroke index, cardiac total power, ejective pressure and left ventricular end diastolic volumewere significantly improved (P＜0.05).The change analysis of each indicator for each patient is shown in the individualized analysis section of this study. Conclusion: Use CPET and continuous functional monitoring we can safely and effectively develop the overall program of individualized exercise in patients with chronic diseases. Long-term intensive management and control can safely and effectively significantly improve the cardiovascular function of patients. Continuous dynamic recording of changes in left and right cardiac functional parameters can be a simple way to supplement CPET to evaluate cardiovascular function.

[The characteristics of core parameters during cardiopulmonary exercise testing in patients with hypertrophy cardiomyopathy].

Objective: The patients with Hypertrophic CardioMyopathy (HCM), characterized by hypertrophy of the myocardium with a high risk of sudden death, was less clear for the exercise pathophysiology. Under the guidance of holistic integrative physiology and medicine (HIPM), the ramp protocol symptom-limited CardioPulmonary Exercise Testing (CPET) is the only method to evaluate the overall functional status of human body. We investigated the CPET pathophysiology in patients with HCM. Methods: From April 2017 to January 2020, 244 subjects were enrolled after signed the informed consent form and completing CPET in Fuwai Hospital. They 219 HCM patients and 25 healthy normal subjects as control (NS). The changes of CPET core parameters between two them were calculated, compared and did Individual analysis. Results: ①The gender of HCM was 163 maleand 56 female. The gender of NS was 11 male and 14 female. The age of HCM was (46.7±12.8, 16.0~71.0) year; NS was (43.7±10.4, 26.0~61.0) year.②The core CPET parameters of HCM: peak oxygen uptake (Peak VO2) was (65.2±13.8, 22.8~103.4) %pred; anaerobic threshold (AT) was (66.4±13.0, 33.7~103.5) %pred; Peak O2 pulse was (84.3±19.0, 90.9~126.0)%pred; oxygen uptake efficiency platform (OUEP) was (99.2±13.4, 69.1~155.5) %pred; Lowest VE/VCO2 was (108.0±13.2, 70.4~154.0)%pred; VE/VCO2 Slope was (108.5±17.9, 66.9~164.9)%pred. Compared with NS, the Peak VO2, AT, Peak O2 pulse, and OUEP were significantly decreased (P<0.01 or P<0.05), but the Lowest VE/VCO2 and VE/VCO2 Slope were significantly increased (P<0.05). For Individual analysis of the overall functional status of CPET, some were very sever but some HCM were still within the normal range.③ The Peak VO2 was positively correlated with AT, OUEP, Peak O2 pulse, and peak systolic blood pressure, but was negative correlated with Lowest VE/VCO2 and VE/VCO2 Slope. Conclusion: CPET is safe and specific characteristics for patients with HCM, which deserve further research and clinical application. Under HIPM guidance, CPET can not only be used for overall functional evaluation, disease diagnosis and differential diagnosis, risk stratification, curative effect evaluation and accurate prognostic prediction, but also be utilized in formulating the individualized training prescription and management of chronic diseases.

[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.

[The new theory CPET guides the overall plan of individualized precision exercise to effectively improve the overall functional status of "frailty"].

Objective: Under the guidance of the new theory of holistic integrated physiology and medicine, the effect of individualized accurate exercise program on the overall functional state was studied according to cardiopulmonary exercise testing (CPET). Methods: Li xx, female, 31 years old, has a fast heart rate since childhood (90~100 bpm), usually feel cold, especially in autumn and winter, and general health good. CPET was performed after signing the informed consent form at Fuwai Hospital in September 2019. Peak oxygen uptake, anaerobic threshold (AT), and peak cardiac output were (69~72)% pred, respectively, and the oxygen uptake ventilation efficiency and carbon dioxide exhaust ventilation efficiency were basically normal (96~100)% pred. The resting heart rate was fast, the blood pressure was low, the blood pressure response was weak during exercise, and the heart rate was mainly increased. The holistic integrated physiology medical theory pointed out that she was in weak health and heart weakness was the main manifestation. CPET was used to guide individualized precise exercise intensity titration, combine continuous beat-by-beat blood pressure, ECG, pulse and blood glucose dynamic monitoring to formulate an holisticplan of individualized quantitative exercise .Reexamine CPET after 8 weeks' strengthening management. Results: After 8 weeks of intensive holistic management, the limbs were warm and the cold symptoms disappeared. Re-examination of CPET peak oxygen uptake, AT and peak cardiac output were (90~98)% pred, which increased by (30~36)% respectively, and the holistic weak functional status was significantly improved; basically normal oxygen uptake ventilation efficiency and carbon dioxide exhaust ventilation efficiency also increased by (10~37)% respectively; resting heart rate and blood pressure basically returned to normal, and blood pressure and heart rate response during exercise were normal. Continuous ambulatory blood glucose monitoring indicated that the average blood glucose level decreased slightly and became more stable. Repeated measurement results of continuous ECG and beat-to-beat blood pressure also indicated a decrease in heart rate and an increase in blood pressure during rest, exercise and during sleep, and radial pulse wave. The amplitude of the dicrotic wave increases and becomes more pronounced. Conclusion: The new theoretical system to guide CPET to formulate an holistic plan for individualized precision exercise can safely and effectively enhance myocardial contractility, increase stroke volume, increase blood pressure, lower heart rate, stabilize and slightly lower blood glucose, and improve holistic functional status.