1 Introduction
The major issue in cardiovascular diseases (CVDs) such as ischemic heart disease or heart failure is exercise capacity impairment.[1] [2–4] [5]
Respiratory function is another extracardiac determinant of exercise capacity and is known to be impaired in patients with CVD.[6,7] [8] [9] [4]
According to respiratory muscle function, the idea of respiratory muscle fatigue has been presented in pulmonology, and it also involves limiting exercise tolerance.[10] [11]
This study investigated the impact of respiratory muscle strength including respiratory muscle fatigue on exercise capacity in patients with CVD. In addition, the method used to evaluate respiratory muscle fatigue in patients with CVD was assessed.
2 Methods
2.1 Study subjects
Study participants were selected from a group of patients who had a cardiopulmonary exercise test from November 2015 to January 2017 to evaluate the statuses of their ischemic heart disease or congestive heart failure. Ischemic heart disease was defined as the presence of at least 1 of the following: >50% luminal diameter narrowing of >1 epicardial coronary artery on angiography; history of coronary revascularization; or history of myocardial infarction. On the other hand, heart failure was defined as the presence of at least 2 of the following: heart failure symptoms and signs; elevated B-type natriuretic peptide (BNP) (>35 pg/mL); decreased left ventricular ejection fraction (EF < 40%). Exclusion criteria were history of heart transplant, severe illnesses other than heart disease, and the presence of any clinical comorbidity that may affect exercise performance. Patients were also excluded if they were unable to achieve an adequate pedal rotation speed, had a heart rate at rest of >110 bpm, or manifested presence of moderate valvular disease, thought to be the cause of the patient's symptoms. This study complied with the principles of the Declaration of Helsinki and was reviewed and approved by the University of Tokyo Institutional Review Board (approval number, 2650).
2.2 Cardiopulmonary exercise testing (CPX)
Symptom-limitedCPX was performed on an electromagnetically braked upright cycle ergometer (Corival, Lode, Holland) with a metabolic gas analyzer (AE-300S, Minato Medical Science, Osaka, Japan). After a 4-minute rest on the cycle ergometer, a 4-minute warm-up exercise was commenced at 20 W (or 15 W), and then the work rate was increased by 5 or 10 W every minute. CPX was discontinued
(i) if pedal rotations were delayed;
(ii) if the patient reached the maximum symptom-limited performance determined by a Borg score of ≥17;
(iii) when 85% of the age-predicted maximal HR was achieved; or
(iv) if there was evidence of ST-T wave changes in ECG or if any cardiac event, such as arrhythmia or chest pain, occurred; or
(v) peak respiratory exchange ratio was over 1.1.[12]
2.3 Evaluation of respiratory muscle, handgrip, and knee extensor strength
The maximal inspiratory pressure/maximal expiratory pressure (MIP/MEP) before and after CPX were measured using a spirometer (HI-801, CHEST MI, Tokyo). In a sitting position, patients breathed into a scuba-type mouthpiece and were instructed to exhale the residual volume followed by a maximum inspiratory effort through the mouthpiece. The respiratory muscle fatigue was evaluated as presented in previous reports[13]
Moreover, handgrip and knee extensor strengths were evaluated during CPX. Handgrip strength was determined using a digital dynamometer (Takei Scientific Instruments Co., Ltd., Niigata, Japan), and isometric knee extensor strength was measured using μTas F-1 (ANIMA, Tokyo, Japan).[14]
2.4 Laboratory data
The echocardiogram and blood sample findings were obtained from the measurements performed close to the collection of the CPX data. Standard echocardiographic imaging was done to evaluate the left ventricular ejection fraction and left ventricle diameter. The presence or absence of valvular heart disease was also evaluated. For laboratory data, fasting blood samples were collected, and laboratory findings were analyzed using the standard laboratory methods at the University of Tokyo Hospital (Tokyo, Japan). The glomerular filtration rate was estimated using the following equation: eGFR = 194 × serum creatinine−1.094 (mg/dL) × age−0.287 × 0.739 (if female).
2.5 Statistical analysis
The results were presented as mean ± SD or as median (interquartile range). Using the Mann–Whitney U test and t test, the inter-group differences were evaluated. We also assessed the outliers with a Smirnov-Grubbs test and removed it. Potential relationships between the parameters were explored using Pearson correlation test. Variables with P < .10 in the univariate analysis were included in the multivariate analysis to identify the independent determinant for the MIP change. A P -value of < .05 was considered as statistically significant. PASW Statistics 18 (SPSS Inc., Chicago, IL) was used for statistical data analyses.
3 Results
3.1 Patient characteristics
Table 1 presents the patient characteristics: 81% patients were male and were diagnosed with heart failure or ischemic heart disease. The median brain natriuretic peptide value was 120 (80.2, 323) pg/mL, whereas the mean left ventricular EF value was 47.7 ± 20.8%.
Table 1: Patients characteristics.
3.2 Respiratory muscle strength and association with other clinical parameters
The mean MIPpre and MEPpre values were 67.5 ± 29.0 and 61.6 ± 23.8 cm H2 O, respectively (Table 1 , Fig. 1 ). The MEP and MIP values significantly correlated with each other (R = 0.63, P < .001) and with hemoglobin (MEP, R = 0.53, P < .001; MIP, R = 0.30, P = .047) (Supplementary table, https://links.lww.com/MD/E726 R = 0.47, P = .005). Diabetes and the administration of angiotensin-converting enzyme inhibitor or angiotensin receptor blocker, beta blocker, or statin did not affect the MEP and MIP values. Additionally, the etiology of cardiovascular disorder did not affect the MIP and MEP values.
Figure 1: The changes in maximal inspiratory pressure and maximum expiratory pressure before (pre cardiopulmonary exercise testing [CPX]) and after (post CPX) CPX.
3.3 Clinical implication of respiratory muscle fatigue
Regarding the changes in MEP and MIP before and after CPX, MIP value increased after CPX in 19 patients, whereas it decreased in 25 patients (Fig. 1 ). In contrast, MEP value increased after CPX in 22 patients, whereas it decreased in 22 patients. Changes in MEP and MIP values showed no correlation (R = 0.24, P = .12). Among MIP, MEP, change in MIP and change in MEP, only the value of change in MIP had an association with parameters of exercise capacity (Table 2 ) and the MIP change value correlated with VE/VCO2 slope (R = −0.36, P = .017). In addition, it also had correlations with handgrip strength (R = 0.36, P = .035), and estimated glomerular filtration rate (eGFR) (R = 0.42, P = .0043) (Fig. 2 , Table 3 ). Multivariate analysis for determining factor of change in MIP using VE/VCO2 slope, peak VO2, eGFR, hemoglobin, and handgrip strength revealed that the association between the ratio of change in MIP and eGFR was independent from other confounding parameters (beta, 0.40, P = .017).
Table 2: Associations between respiratory muscle function and exercise capacity.
Figure 2: Correlation between the change in maximal inspiratory pressure (MIP) before and after a cardiopulmonary exercise test and estimated glomerular filtration rate. The change in MIP was calculated by MIP after cardiopulmonary exercise/MIP before cardiopulmonary exercise.
Table 3: Determinant factor for the change of maximal inspiratory pressure.
Next, we divided patients into 2 groups by the presence of absence of respiratory muscle fatigue, which was defined as change in MIP < 0.9 in accordance with previous report.[13] P = .020) (Table 4 ).
Table 4: Characteristics in patients with and without respiratory muscle fatigue.
4 Discussion
This study investigated the relationship between respiratory muscle function including respiratory muscle fatigue and exercise capacity in patients with CVDs. Our results show that respiratory muscle fatigue, not respiratory muscle strength, significantly affects exercise capacity. In addition, the link between respiratory muscle fatigue and exercise capacity evaluated in this study also validated the method evaluating respiratory muscle fatigue.
Fatigue can be defined as a reduction in the force-generating capacity of the muscle from pre- to post-exercise. In this study, respiratory muscle fatigue was assessed by measuring changes in MEP and MIP before and after submaximal exercise. Generally, respiratory muscle fatigue can limit exercise capacity through an inadequate ventilator response.[10,15] [16] [17] ventilatory efficiency , demonstrated the correlation between respiratory muscle fatigue and exercise capacity. Indeed, VE/VCO2 slope reflects physiological dead space ventilation and mismatching between perfusion and ventilation and it is 1 parameter of exercise capacity.[18] [19] [20]
Another interesting finding of the present study was the association between renal dysfunction and respiratory muscle fatigue. The relationship between the change in MIP and VE/VCO2 slope suggested that the change in MIP is derived from a systemic pathway such as metaboreflex or the autonomic nervous system, and it also significantly correlated with renal function. Skeletal muscle abnormalities have been reported in renal dysfunction.[21] [22] [23,24]
This study had the following limitations: small sample size, absence of control subjects, and the retrospective nature. The values of MIP and MEP were slightly low as compared with previous reports of subjects without clinical CVD.[25] [13]
It is possible that the degree of load by cardiopulmonary exercise is not consistent. However, if the degree of load has some effects in this study, the low respiratory muscle fatigue level would correspond to the decrease of VO2 or decrease of VE/VCO2 slope, which is contrary to our results.
In conclusion, respiratory muscle fatigue demonstrated by the degree of MIP before and after CPX significantly correlated with exercise capacity and renal function in patients with CVD.
Author contributions
Conceptualization: Masanobu Taya, Eisuke Amiya.
Data curation: Masanobu Taya.
Formal analysis: Masanobu Taya, Eisuke Amiya.
Funding acquisition: Eisuke Amiya.
Investigation: Masanobu Taya, Akihito Saito, Tatsuyuki Sato, Haruka Murakami, Yuto Konishi, Koichi Narita, Tatsuyuki Sato.
Methodology: Masanobu Taya, Eisuke Amiya, Shogo Watanabe.
Resources: Masanobu Taya, Shogo Watanabe.
Supervision: Masaru Hatano, Nobuhiko Haga, Kazuhiko Yokota, Issei Komuro.
Writing – original draft: Masanobu Taya, Eisuke Amiya.
Writing – review & editing: Daisuke Nitta, Hisataka Maki, Yumiko Hosoya, Shun Minatsuki, Masaki Tsuji.
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