Printer Friendly

Influence of expiratory positive airway pressure on cardiac autonomic modulation at rest and in submaximal exercise in COPD patients.

Introduction

The control of the autonomic nervous system (ANS) of patients with chronic obstructive pulmonary disease (COPD) is influenced by the sympathetic and parasympathetic systems, peripheral oxygen saturation (Sp[O.sub.2]), pulmonary stretch baroreceptors, and cardiac and pulmonary reflexes (1-3). In COPD patients the sympatho-vagal imbalance is caused by alterations in the ANS (4), as well as by the bronchoconstriction mechanism, hypoxia, hypercapnia, and systemic inflammation (3,5,6), resulting in a higher risk of morbimortality (7).

Noninvasive ventilation (NIV) methods are frequently used in this population with the primary goal of increasing ventilation and Sp[O.sub.2], decreasing respiratory complications and dyspnea symptoms, reducing respiratory muscle load and the intrathoracic pressure during rest and physical exercise, and incrementing their physical and functional performance. Scientific evidence suggests that the use of NIV can modulate autonomic control of heart rate (HR) (1,2,8).

Studies using bilevel positive pressure airway and continuous positive airway pressure (CPAP) have demonstrated that this method is effective for improving pulmonary ventilation, neural control of HR, and sympatho-vagal balance in COPD patients (2,9,10). Nicolini et al. (11) evaluated the effect of expiratory positive airway pressure (EPAP) on the 6-min walk test (6MWT) in COPD patients and found a beneficial effect of EPAP on their functional capacity. Muller et al. (12) highlighted that CPAP and EPAP reduce static hyperinflation in COPD patients, and that EPAP demonstrates equivalent effects to CPAP on static hyperinflation indirectly measured by inspiratory capacity and maximal inspiratory pressure (MIP). EPAP application relieves dynamic airway compression during expiration, reducing expiratory airflow limitation and thereby increasing inspiratory capacity in COPD patients (13,14).

No study has evaluated the effects of EPAP on the autonomic cardiac indices through the analyses of heart rate variability (HRV). It is known that linear and nonlinear HRV indices are widely accepted as important tools to determine cardiac autonomic changes (2-9). Linear indices of time domain such as mean respiratory rate (RR) interval (mean RR), RR interval standard deviation (STD RR), mean HR, and STD HR reflect HR fluctuations. Variables such as square root of the mean squared differences of successive RR intervals (RMSSD) and the HRV triangular index (RR tri index) reflect global HRV. In the frequency domain, low frequency (LF) and high frequency (HF) indexes indicate sympathetic and parasympathetic activity respectively, and LF/HF ratio indicates sympatho-vagal relation. The analysis of nonlinear components [approximate entropy (ApEn) and Shannon entropy] indicates ANS complexity (15). Therefore, our aim was to evaluate the effect of EPAP on the HRV indices at rest and during 6MWT in COPD patients. We hypothesize that a 5 cm[H.sub.2]O EPAP application would provide a positive effect on autonomic modulation in COPD patients both at rest as during submaximal exercise.

Material and Methods

Study design

We performed a cross-sectional and randomized crossover study within the Programa de Reabilitacao Pulmonar, Hospital Santa Cruz, Santa Cruz do Sul, RS, Brazil. All patients were formally invited to participate in the study by the responsible researcher and all volunteers signed an informed consent statement prior to participation. The study was approved by the Research Ethics Committee of the Universidade de Santa Cruz do Sul (protocol No. 1.514.705).

Subjects

Thirty patients with a clinical diagnosis of COPD by a pulmonary function test (forced expiratory volume in 1 s ([FEV.sub.1])/forced vital capacity (FVC) ratio of 0.7; [FEV.sub.1] 60% of predicted) with good cognitive function and without previous COPD exacerbation (15 days before the study) were included in the study. Patients with muscle-skeletal disorders or neurological conditions affecting the locomotor system in such a way that would preclude participation in the protocol, a clinical diagnosis of lung cancer, current alcoholism, complex cardiac arrhythmias, uncontrolled metabolic disease such as diabetes, thyroid changes, and systemic arterial hypertension (with or without the use of beta-blockers), or electrocardiogram alterations were excluded from the study (n=15; Figure 1).

Measurements

Patients were evaluated in a laboratory with 22[degrees]C and relative humidity between 50 and 60%. They were instructed to avoid stimulants and alcoholic drinks and not to perform exhausting physical exercise the day before the test; they were also instructed not to smoke or use bronchodilators for 6 h before the test. Patients underwent a clinical evaluation to record gender, age, body mass index, smoking history, and COPD status by pulmonary function. The HRV signal was recorded at rest (5 min), during 6MWT (5 min) with and without EPAP, and during post-test recovery period (5 min). The order of the 6MWT with and without EPAP was determined by simple randomization (draw of an envelope) with a 30-min resting period between the tests (Figure 1).

Pulmonary function

Pulmonary function was assessed using a digital spirometer (Microloop[R], MK8, Care Fusion, Germany), which provided measures of the [FEV.sub.1]. Spirometry was performed according to the recommendations of the American Thoracic Society (16) and the results were analyzed according to the values predicted by Pereira et al. (17). The classification of severity of airflow limitation in COPD was performed according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommendations and patients were classified as moderate (GOLD II), severe (GOLD III), or very severe (GOLD IV) (18).

Respiratory muscle strength (RMS)

RMS was assessed using a digital manometer (MDI[R], MVD300, Brazil), which provided measures of the MIP and the maximum expiratory pressure (MEP). The assessment was performed according to the recommendations for the Brazilian population. The values were then compared with those described in the literature and reported as percentage of predicted values (19). The inspiratory muscle weakness was determined by an MIP <60 cm[H.sub.2]O (20).

Submaximal exercise capacity--6MWT

The 6MWT was carried out according to the guidelines of the ATS (21), in order to measure the distance walked during the 6-min test on a flat 30-m corridor. The subjects were instructed to walk as far as possible, at a constant speed. The 6MWT was developed based on the study by Holland et al. (22). The percentage of the predicted distance walked was calculated considering gender, age, height, and weight of each patient based on the equation of Enright (23). Sp[O.sub.2], HR, blood pressure, perceived exertion (using the Borg Scale), and distance walked (meters) were recorded at the beginning and end of every test as previously indicated.

EPAP device

The EPAP device consists of a Spring Loaded[R] valve (Kit EPAP) connected to a 20-mm inner diameter and 100-mm tube and a mouthpiece (11). The positive expiratory pressure (PEP) set at 5 cm[H.sub.2]O, following previous findings on application of 5 cm[H.sub.2]O PEP, was safe and showed lower autonomic imbalance in COPD (2,11). Familiarization procedures were performed with the equipment and experimental protocols so patients could learn how to correctly perform the 6MWT with EPAP before the actual testing.

Lactate

Blood lactate was obtained at rest, during 6MWT (test peak), and during post-test recovery period (third minute after the end of the test) with and without EPAP. The measurement of blood lactate concentration was made by collecting a drop of capillary blood on a validated portable lactometer (Accutrend Plus) (24).

HRV

HR and RR intervals (iR-R) were recorded using a telemetric cardiac monitor (Polar[R] S810i, Finland). An elastic band (Polar T31 transmitter) was placed around the patient's thorax at the level of the lower third of the sternum, while the patient was in a sitting position; signals were continuously transmitted to the receiving unit by electromagnetic field. Recorded data were then transferred to Kubios HRV[R] analysis software (version 2.2, Finland) for subsequent analysis.

The signal processing was carried out as follows: at rest (5 min), during the 6MWT (we discarded the initial 60 s of data and selected the most stable signal, corresponding to the latter portion of the test), and post-exercise recovery (5 min) with and without EPAP. The HRV signal collected in the time domain provided mean RR, STD RR, mean HR, STD HR, RMSSD, and RR tri index, in the frequency domain were LF, HF, and LF/HF ratio, and nonlinear analysis provided the ApEn and Shannon entropy indices.

Statistical analysis

Data were analyzed using the Sigmaplot[R] statistical package (version 11.0, Systat Software Inc., USA). Data were tested for normality through the Shapiro-Wilk test and presented descriptively as mean and SD (parametric) or as median and minimum and maximum interval (nonparametric). Analysis of variance (ANOVA) for multiple comparisons with Tukey's post hoc test was performed. Pearson correlation analysis was performed to investigate the correlations between variables. The analyses between the groups were performed by a Student's t-test. A linear regression model was used to determine the effect of the clinical variables on HRV parameters. Residuals were evaluated under the assumptions of normality, constant variance, and independence. P [less than or equal to] 0.05 was considered significant.

Results

Clinical characteristics of the patients included in the study are shown in Table 1. We observed a greater prevalence of patients with severe COPD in stage III and IV (60%), male gender, obesity, and only 33% with inspiratory muscle weakness.

The mean HR increased significantly during the 6MWT in both groups (P=0.001), while the mean RR (P=0.001; P=0.015) and RR tri index decreased (P=0.006; P=0.028) demonstrating an increase of the HR and reduction of global HRV compared to rest (Table 2). In the EPAP group, we found a significant result in Shannon entropy at rest (P=0.016), showing a better ANS complexity compared to Non-EPAP at rest.

EPAP showed an improvement of Sp[O.sub.2] at rest (P= 0.019; Figure 2A). However, no significant difference was found in the distance walked in meters in 6MWT between groups (P=0.481; Figure 2B).

Moderate correlations were found between airway obstruction and the HRV parameters at rest with EPAP (Figure 3), demonstrating the influence and importance of airflow obstruction over the sympathetic and parasympathetic modulation.

An interesting finding in our study was the correlation between lactate at rest with HF and LF during 6MWT, demonstrating the direct influence of lactate at rest on sympathetic increase and parasympathetic reduction during 6MWT in COPD patients with EPAP (Figure 4A and B), that is, if resting COPD with EPAP show low lactate levels, during 6MWT they will have an expected ANS response with a predominance of sympathetic modulation. These findings were not found in Non-EPAP (Figure 4C and D).

These findings were confirmed through a linear regression model in which lactate at rest explained 27% of the alterations in LF during 6MWT (Table 3).

Discussion

Based on our study, we highlight the following findings: a) EPAP had a beneficial effect on Sp[O.sub.2] and in ANS complexity, both during rest and compared to Non-EPAP; b) airway obstruction was associated with increased vagal modulation at rest with EPAP; c) resting blood lactate concentration was solely responsible for changes in sympathetic modulation during the 6MWT in COPD patients with EPAP. This finding can be attributed to higher Sp[O.sub.2] and better response of muscle metabolism.

The effects of EPAP on HRV complexity during rest in COPD patients are unprecedented and cannot be compared to other scientific studies. One of the main findings of our study with 5 cm[H.sub.2]O EPAP was the increase of Sp[O.sub.2], different from Muller et al. (12) study, in which they applied 10 cm[H.sub.2]O EPAP and found no improvement in Sp[O.sub.2]. The main effect of the EPAP device consists in increasing expiratory flow and decreasing pulmonary hyperinflation (11). EPAP demonstrated equivalent effects to CPAP on static hyperinflation, improvements in inspiratory muscle strength, and inspiratory capacity (12). The device has been used in COPD patients to assist elimination of pulmonary secretions and induce a reduction in minute ventilation, respiratory rate, and physiological dead space (25,26). Reis et al. (2) highlights that treatment with a 5 cm[H.sub.2]O CPAP in COPD patients is safer and produces a better response in ventilatory parameters and autonomic balance than when compared with a 10 cm[H.sub.2]O pressure.

An interesting finding of our study was the association between [VEF.sub.1] and parasympathetic and sympathetic modulation, as observed by HF and LF indices during rest with EPAP. Our findings contradict previous studies on different autonomic tests like postural changing, isometric contraction, and during dynamic physical exercise 4,7,27,28). These findings are consistent with the increased parasympathetic cardiac modulation intimately associated with airway obstruction from the bronchoconstriction of these patients (29). It is important to note that none of the studies used the EPAP device. We speculate that the beneficial effects of EPAP on bronchoconstriction reduction altered the autonomic cardiac modulation with lower parasympathetic modulation in patients with higher airway obstruction.

In our study, during the 6MWT with EPAP, the COPD patients presented an increase in SBP, increased HR and a reduction on global HRV, and we observed that these indices went back to normal values during recovery. A single study demonstrated that a reduction on HR occurred in moderate to severe COPD patients after the 6MWT with EPAP (11). The authors did not evaluate the autonomic cardiac modulation through HRV indices analysis, even though these indices are important markers of cardiac alterations (30).

Our study is the first to evaluate the association between blood lactate concentration at rest and sympathetic and vagal modulation during the 6MWT with EPAP, demonstrating that low levels of lactate at rest directly influence the autonomic sympathetic modulation during the 6MWT. This result was confirmed through linear regression. Lactate at rest and during low intensity exercise presents lower concentration, though it increases rapidly during exercise that requires an aerobic response (31), a result only found during 6MWT in the EPAP in our study. In COPD patients, the measurement of capillary blood lactate associated with the 6MWT can estimate muscular metabolic profile because its precocious increase before effort seems to be associated with muscular metabolic alterations, as loss of the oxidative activity of the skeletal muscles is observed (32).

It has been described in the scientific literature that during discontinuous resistance exercise in an elderly population, the integrative responses between muscular metabolism and autonomic cardiac control are more evident at aerobic metabolism to anaerobic transition during exercise (33), and these factors, as aerobic capacity, may have an influence on cardiac autonomic control (34,35). In coronary artery disease and chronic heart failure patients, HRV is a feasible tool in clinical practice to determine anaerobic threshold and it can be safe and appropriate to determine exercise intensity (36,37). Although having a different population and exercise protocol than our study, those findings may support the association between lactate at rest with autonomic modulation during 6MWT with EPAP in COPD patients.

The limitations that deserve to be listed are the rigid exclusion criteria and the difficulty in screening patients with 95% pure sinus beat. This study has a great significance and importance for the clinical management of patients with COPD, as the new results on EPAP application may be used in research and in the clinical field, as well as to assess the effects on interventions frequently used in pulmonary rehabilitation.

Finally, the use of 5 cm[H.sub.2]O EPAP improved autonomic cardiac modulation and ANS complexity during rest in COPD patients. Although it did not influence the performance of the 6MWT, EPAP caused alteration in resting lactate concentration with an effect on sympatho-vagal control during the test.

doi: 10.1590/1414-431X20187180

Acknowledgments

Grants were received from the University of Santa Cruz do Sul--UNISC and Santa Cruz Hospital.

References

(1.) Pinsky MR. Cardiovascular issues in respiratory care. Chest 2005; 128: 592S-597S, doi: 10.1378/chest.128.5_suppl_ 2.592S.

(2.) Reis MS, Sampaio LM, Lacerda D, De Oliveira LV, Pereira GB, Pantoni CB, et al. Acute effects of different levels of continuous positive airway pressure on cardiac autonomic modulation in chronic heart failure and chronic obstructive pulmonary disease. Arch Med Sci 2010; 6: 719-727, doi: 10.5114/aoms.2010.17087.

(3.) Mazzuco A, Medeiros WM, Sperling MPR, de Souza AS, Alencar MC, Arbex FF, et al. Relationship between linear and nonlinear dynamics of heart rate and impairment of lung function in COPD patients. IntJ Chron Obstruct Pulmon Dis 2015; 10: 1651-1661, doi: 10.2147/COPD.S81736.

(4.) Roque AL, Valenti VE, Massetti T, da Silva TD, Monteiro CB, Oliveira FR, et al. Chronic obstructive pulmonary disease and heart rate variability: a literature update. Int Arch Med 2014; 7: 43, doi: 10.1186/1755-7682-7-43.

(5.) Borghi-Silva A, Arena R, Castello V, Simoes RP, Martins LEB, Catai AM, et al. Aerobic exercise training improves autonomic nervous control in patients with COPD. Respir Med 2009; 103: 1503-1510, doi: 10.1016/j.rmed.2009. 04.015.

(6.) Chhabra SK, Gupta M, Ramaswamy S, Dash DJ, Bansal V, Deepak KK. Cardiac sympathetic dominance and systemic inflammation in COPD. COPD 2015; 12: 552-559, doi: 10.3109/15412555.2014.974743.

(7.) Nicolino J, Ramos D, Leite MR, Rodrigues FM, de Alencar Silva BS, Tacao GY, et al. Analysis of autonomic modulation after an acute session of resistance exercise at different intensities in chronic obstructive pulmonary disease patients. Int J Chron Obstruct Pulmon Dis 2015; 10: 223-229.

(8.) Highcock MP, Shneerson JM, Smith IE. Increased ventilation with NiIPPV does not necessarily improve exercise capacity in COPD. Eur Respir J 2003; 22: 100-105, doi: 10.1183/09031936.03.00292203.

(9.) Borghi-Silva A, Reis MS, Mendes RG, Pantoni CB, Simoes RP, Martins LE, et al. Noninvasive ventilation acutely modifies heart rate variability in chronic obstructive pulmonary disease patients. Respir Med 2008; 102: 1117-1123, doi: 10.1016/j.rmed.2008.03.016.

(10.) Skyba P, Joppa P, Oroli'n M, Tka'cova' R. Blood pressure and heart rate variability response to noninvasive ventilation in patients with exacerbations of chronic obstructive pulmonary disease. Physiol Res 2007; 56: 527e33.

(11.) Nicolini A, Merliak F, Barlascini C. Use of positive expiratory pressure during six minute walk test: results in patients with moderate to severe chronic obstructive pulmonary disease. Multidiscip Respir Med 2013; 8: 19, doi: 10.1186/ 2049-6958-8-19.

(12.) Muller PT, Christofoletti G, Koch R, Zardetti Nogueira JH, Pereira Patusco LA, Chiappa GR. CPAP and EPAP elicit similar lung deflation in a non-equivalent mode in GOLD 3-4 COPD patients. Clin Respir J 2017.

(13.) Monteiro MB, Berton DC, Moreira MA, Menna-Barreto SS, Teixeira PJ. Effects of expiratory positive airway pressure on dynamic hyperinflation during exercise in patients with COPD. Respir Care 2012; 57: 1405-1412, doi: 10.4187/ respcare.01481.

(14.) Visser FJ, Ramlal S, Dekhuijzen PN, Heijdra YF. Pursed-lips breathing improves inspiratory capacity in chronic obstructive pulmonary disease. Respiration 2011; 81: 372-378, doi: 10.1159/000319036.

(15.) Task Force of European Society of Cardiology. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Eur Heart J 1996; 17: 354-381, doi: 10.1093/oxfordjournals.eurheartj.a014868.

(16.) Gibson GJ, Whitelaw W, Siafakas N. Tests of overall respiratory function. ATS/ERS statement on respiratory muscle testing. Am J Respir Crit Care Med 2002; 166: 518-624, doi: 10.1164/rccm.166.4.518.

(17.) Pereira CA, Sato T, Rodrigues SC. New reference values for forced spirometry in white adults in Brazil. J Bras Pneumol 2007; 33: 397-406, doi: 10.1590/S1806-371320070004 00008.

(18.) Global Initiative for Chronic Obstructive Lung Disease. Pocket Guide to COPD Diagnosis, Management and Prevention. Global Initiative for Chronic Obstructive Lung Disease; 2017. Available from: http://www.goldcopd.it/mate riale/2015/GOLD_Pocket_2017.pdf.

(19.) Neder JA, Andreoni S, Lerario MC, Nery LE. Reference values for lung function tests. II. Maximal respiratory pressures and voluntary ventilation. Braz J Med Biol Res 1999; 32: 719-727, doi: 10.1590/S0100-879X19990006 00007.

(20.) Beaumont M, Mialon P, Le Ber-Moy C, Lochon C, Peran L, Pichon R, et al. Inspiratory muscle training during pulmonary rehabilitation in chronic obstructive pulmonary disease: a randomized trial. Chron Respir Dis 2015; 12: 305-312, doi: 10.1177/1479972315594625.

(21.) American Thoracic Society/Statement.Guidelines for the 6-min Walk Test. Am J Respir Crit Care Med 2002; 166: 111 -117, doi: 10.1164/ajrccm.166.1.at1102.

(22.) Holland AE, Spruit MA, Troosters T, Puhan MA, Pepin V, Saey D, et al. An official European Respiratory Society/ American Thoracic Society technical standard: field walking tests in chronic respiratory disease. Eur Respir J 2014; 44: 1428-1446, doi: 10.1183/09031936.00150314.

(23.) Enright PL. The 6-min walk test. Respir Care 2003; 48: 783-785.

(24.) Santos DB, Viegas CAA. Correlation of levels of obstruction in COPD with lactate and 6-min walk test. Rev Port Pneumol 2009; 15: 11-25, doi: 10.1016/S0873-2159(15)30106-9.

(25.) Lien T, Wang J, Chang M, Kuo CD. Comparison of BiPAP nasal ventilation and ventilation via iron lung in severe stable COPD. Chest 1993; 104: 460-466, doi: 10.1378/chest. 104.2.460.

(26.) Van der Schans C, de Jong W, de Vries G, Kaan WA, Postma DS, Koeter GH, et al. Effects of positive expiratory pressure breathing during exercise in patients with COPD. Chest 1994; 105: 782-789, doi: 10.1378/chest.105.3.782.

(27.) Goulart CL, Simon JC, Schneiders PB, San Martin EA, Cabiddu R, Borghi-Silva A, et al. Respiratory muscle strength effect on linear and nonlinear heart rate variability parameters in COPD patients. Int J Chron Obstruct Pulmon Dis 2016; 11: 1671-1677, doi: 10.2147/COPD.S108860.

(28.) Goulart CD, Cabiddu R, Schneiders PB, Antunes San Martin E, Trimer R, Borghi-Silva A, et al. Is cardiac autonomic modulation during upper limb isometric contraction and Valsalva maneuver impaired in COPD patients? Int J Chron Obstruct Pulmon Dis 2017; 12: 849-857, doi: 10.2147/COPD.S130428.

(29.) Volterrani M, Scalvini S, Mazzuero G, Lanfranchi P, Colombo R, Clark AL, et al. Decreased heart rate variability in patients with chronic obstructive pulmonary disease. Chest 1994; 106: 1432-1437, doi: 10.1378/chest.106.5.1432.

(30.) Novak V, Saul JP, Eckberg DL. Task Force report on heart rate variability. Circulation 1997; 96: 1056-1057.

(31.) Eastwood PR, Van Der Touw TJ, Sturdy GA, Jenkins SC, Hillman DR. Anaerobic metabolism of inspiratory muscles in COPD. Respirology 2006; 11: 32-40, doi: 10.1111/j.1440-1843.2006.00781.x.

(32.) Maltais F, Simard AA, Simard C, Jobin J, Desgagnes P, LeBlanc P. Oxidative capacity of the skeletal muscle and lactic acid kinetics during exercise in normal subjects and in patients with COPD. Am J Respir Crit Care Med 1996; 153: 288-293, doi: 10.1164/ajrccm.153.1.8542131.

(33.) Simoes RP, Mendes RG, Castello V, Machado HG, Almeida LB, Baldissera V, et al. Heart-rate variability and blood-lactate threshold interaction during progressive resistance exercise in healthy older men. J Strength Cond Res 2010; 24: 1313-1320, doi: 10.1519/JSC.0b013e3181d2c0fe.

(34.) De Meersman RE, Reisman SS, Daum M, Zorowitz R, Leifer M, Findley T. Influence of respiration on metabolic, hemodynamic, psychometric, and R-R interval power spectral parameters. Am J Physiol 1995; 239: H1437-H14408.

(35.) Levy WC, Cerqueira MD, Harp GD, Johannessen KA, Abrass IB, Schwartz RS, et al. Effect of endurance exercise training on heart rate variability at rest in healthy young and older men. Am J Cardiol 1998; 82: 1236-1241, doi: 10.1016/ S0002-9149(98)00611-0.

(36.) Sperling MPR, Simoes RP, Caruso FCR, Mendes RG, Arena R, Borghi-Silva A. Is heart rate variability a feasible method to determine anaerobic threshold in progressive resistance exercise in coronary artery disease? Braz J Phys Ther 2016; 20: 289-297, doi: 10.1590/bjpt-rbf.2014.0165.

(37.) Lepretre PM, Bulvestre M, Ghannem M, Ahmaidi S, Weissland T, Lopes P. Determination of ventilatory threshold using heart rate variability in patients with heart failure. Surgery 2013; S12: 003.

C. da L. Goulart [1], E.A. San Martin [1], K.M.K. Mansour [1], P.B. Schneiders [1] and A.L.G. da Silva [2,3]

[1] Iniciacao Cientifica, Curso de Fisioterapia, Universidade de Santa Cruz do Sul, Santa Cruz do Sul, RS, Brasil

[2] Curso de Fisioterapia, Departamento de Educacao Fisica e Saude, Universidade de Santa Cruz do Sul, Santa Cruz do Sul, RS, Brasil

[3] Programa de Reabilitacao Pulmonar, Hospital Santa Cruz, Santa Cruz do Sul, RS, Brasil

Correspondence: A.L.G. da Silva: <andreag@unisc.br>

Received October 26, 2017 | Accepted January 16, 2018

Caption: Figure 1. Flowchart of sampling and study phases. COPD: chronic obstructive pulmonary disease; 6MWT: 6-min walk test; EPAP: positive airways pressure.

Caption: Figure 2. A, Peripheral oxygen saturation, and B, distance walked in the 6 min walk test in positive airways pressure (EPAP) and Non-EPAP groups of chronic obstructive pulmonary disease patients. Student's t-test was used for statistical analyses. Vertical lines indicate means and SDs.

Caption: Figure 3. Relationship between lung function and heart rate variability index at rest. A, Negative correlation between LF (nu) and [FEV.sub.1] (% of predicted). B, Positive correlation between HF (nu) and [FEV.sub.1] (% of predicted). The Pearson correlation analysis was used for statistical analyses. [FEV.sub.1] forced expiratory volume in 1 s; LF: low frequency; HF: high frequency; nu: normalized units.

Caption: Figure 4. Relationship between lactate and heart rate variability index during 6-min walk test (6MWT). A, Negative correlation between LF (nu) and lactate at rest (mmol/L) with expiratory positive airway pressure (EPAP). B, Positive correlation between HF (nu) during 6MWT and lactate (mmol/L) at rest with EPAP. C, Positive correlation between LF (nu) during 6MWT and lactate (mmol/L) at rest in Non-EPAP. D, Negative correlation between HF (nu) during 6MWT and lactate (mmol/L) at rest in Non-EPAP. Pearson correlation analysis was performed. LF: low frequency; HF: high frequency; nu; normalized units.
Table 1. Clinical characteristics of chronic obstructive pulmonary
disease (COPD) patients.

Variables                                      COPD (n=15)

Age (years)                                 62.6 [+ or -] 7.8
Gender
  Male n (%)                                    12 (80.0)
BMI (kg/[m.sup.2])                          26.5 [+ or -] 6.3
BMI classification, n (%)
  Underweight                                   4 (26.7)
  Eutrophic                                     3 (20.0)
  Obese                                         8 (53.3)
Pulmonary volumes
  [FEV.sub.1] (L/s)                           1.1 (0.7-1.6)
  [FEV.sub.1] (% predicted)                 37.0 (25.0-68.0)
Staging (GOLD), n (%)
  Stage II,                                     6 (40.0)
  Stage III                                     4 (26.7)
  Stage IV                                      5 (33.3)
Respiratory muscle strength
  MIP (cm[H.sub.2]O)                       73.0 [+ or -] 28.8
  MIP (% predicted)                        72.6 [+ or -] 28.6
  MEP (cm[H.sub.2]O)                      115.0 [+ or -] 40.2
  MEP (% predicted)                       105.5 [+ or -] 33.6
Inspiratory muscle weakness
(MIP <60 cm[H.sub.2]O), n (%)
  Yes                                           5 (33.3)
  No                                            10 (66.7)

Data are reported as means [+ or -] SD and number (%): BMI: body
mass index; [FEV.sub.1]: forced expiratory volume in 1 s; GOLD:
Global Initiative for Chronic Lung Disease; MIP: maximum
inspiratory pressure; MEP: maximum expiratory pressure.

Table 2. Comparisons within and between groups for all
outcome measures.

Variables                      EPAP
                               Rest

SBP (mmHg)             116.6 [+ or -] 11.1
DBP (mmHg)              80.6 [+ or -] 8.8
Lactate (mmol/L)         2.9 [+ or -] 1.1
Borg--lower limb         7.3 [+ or -] 2.0
Mean RR (ms)           729.3 [+ or -] 123.8
STD RR (ms)             11.2 (9.1-24.0)
Mean HR (1/min)         84.4 [+ or -] 13.4
STD HR (1/min)           1.7 (1.3-2.6)
RMSSD (ms)              16.6 (7.4-24.5)
RR tri index             4.3 (2.8-6.5)
LF (nu)                 53.6 (35.5-82.1)
HF (nu)                 43.6 (17.8-64.4)
LF/HF                    1.2 (0.5-4.6)
ApEn                     0.9 [+ or -] 0.1
Shannon entropy          3.0 [+ or -] 0.3

Variables                     Non-EPAP
                                6MWT

SBP (mmHg)              137.3 [+ or -] 21.2 *
DBP (mmHg)               86.0 [+ or -] 7.3
Lactate (mmol/L)          3.2 [+ or -] 1.8
Borg--lower limb          9.5 [+ or -] 3.1
Mean RR (ms)            556.1 [+ or -] 109.1 *
STD RR (ms)               6.8 (3.5-11.1) *
Mean HR (1/min)         111.9 [+ or -] 22.3 *
STD HR (1/min)            1.4 (1.1-1.9)
RMSSD (ms)                6.3 (4.5-16.1)
RR tri index              2.3 (1.6-3.2) *
LF (nu)                  56.8 (33.8-70.1)
HF (nu)                  43.1 (29.4-65.5)
LF/HF                     1.3 (0.5-2.3)
ApEn                      1.0 [+ or -] 0
Shannon entropy           2.6 [+ or -] 0.2

Variables                    Recovery                    Rest

SBP (mmHg)             129.3 [+ or -] 17.5       115.3 [+ or -] 12.4
DBP (mmHg)              82.0 [+ or -] 10.1        79.3 [+ or -] 9.6
Lactate (mmol/L)         2.5 [+ or -] 1.2          2.7 [+ or -] 0.9
Borg--lower limb         8.1 [+ or -] 2.3          7.3 [+ or -] 1.7
Mean RR (ms)           609.5 [+ or -] 137.8      755.5 [+ or -] 144.6
STD RR (ms)             10.9 (7.5-17.0)            1.7 (1.3-2.4)
Mean HR (1/min)         89.9 [+ or -] 16.1 **     82.1 [+ or -] 15.3
STD HR (1/min)           1.8 (1.3-2.2)             1.7 (1.3-2.4)
RMSSD (ms)              12.5 (6.9-17.3)           18.2 (8.2-25.4)
RR tri index             3.5 (2.7-5.2)             4.0 (3.2-5.6)
LF (nu)                 56.5 (48.9-75.7)          56.2 (31.8-76.2)
HF (nu)                 43.4 (23.6-50.9)          43.4 (23.5-68.1)
LF/HF                    1.3 (0.9-3.2)             1.2 (0.4-3.2)
ApEn                     1.0 [+ or -] 0            0.9 [+ or -] 0
Shannon entropy          2.9 [+ or -] 0.3          2.7 [+ or -] 0.2 (#)

Variables                      6MWT

SBP (mmHg)             129.3 [+ or -] 21.2
DBP (mmHg)              84.0 [+ or -] 7.3
Lactate (mmol/L)         2.7 [+ or -] 1.1
Borg--lower limb         9.0 [+ or -] 3.0
Mean RR (ms)           563.1 [+ or -] 99.5 *
STD RR (ms)              1.5 (1.0-2.1)
Mean HR (1/min)        109.8 [+ or -] 20.0 *
STD HR (1/min)           1.5 (1.0-2.1)
RMSSD (ms)               8.6 (4.5-17.5)
RR tri index             2.5 (1.7-3.2) *
LF (nu)                 65.7 (40.9-75.3)
HF (nu)                 32.9 (24.3-57.9)
LF/HF                    2.0 (0.7-3.1)
ApEn                     1.0 [+ or -] 0.1
Shannon entropy          2.8 [+ or -] 0.3

Variables                      Recovery

SBP (mmHg)              122.0 [+ or -] 16.1
DBP (mmHg)               83.3 [+ or -] 9.7
Lactate (mmol/L)          2.7 [+ or -] 1.1
Borg--lower limb          7.4 [+ or -] 2.6
Mean RR (ms)            708.4 [+ or -] 130.0 **
STD RR (ms)               1.9 (1.4-2.2)
Mean HR (1/min)          86.7 [+ or -] 14.1 **
STD HR (1/min)            1.9 (1.4-2.2)
RMSSD (ms)               10.3 (8.4-14.9)
RR tri index              3.8 (2.7-4.9)
LF (nu)                  73.0 (51.2-83.8)
HF (nu)                  26.6 (16.1-48.4)
LF/HF                     2.7 (1.1-5.3)
ApEn                      0.9 [+ or -] 0.1
Shannon entropy           2.8 [+ or -] 0.2

SBP: systolic blood pressure; DBP: diastolic blood pressure; RR:
respiratory rate interval; STD RR: RR interval standard deviation;
HR: heart rate; STD HR: heart rate standard deviation; RMSS D:
square root of the mean squared differences of successive RR
intervals; RR tri index: HR V triangular index; LF: low frequency;
HF: high frequency; nu: normalized units; LF/HF: ratio between LF
power and HF power. * P<0.05, rest vs 6MWT. ** P<0.05, 6MWT vs
recovery. (#) P<0.050 non-EPAP at rest vs EPAP at rest. Comparisons
within groups were done with ANOVA and Tukey's post hoc analysis
and between groups with Student's t-test.

Table 3. Results of linear regression with expiratory positive
airway pressure (EPAP) to determine the influence of lactate at
rest on low frequency (LF; nu) during the 6-min walk test.

Variables                       [beta] coefficient      P

Constant                              86.43           <0.001
Lactate at rest (mmol/L)              -12.06          0.027

Adjusted [R.sup.2]=0.273; F=6.25 (P=0.027). Equation to predict LF
during 6MWT: 86.438 - (12,066 * lactate at rest).
COPYRIGHT 2018 Associacao Brasileira de Divulgacao Cientifica (ABDC)
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2018 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:Research Article; chronic obstructive pulmonary disease
Author:Goulart, C. da L.; San Martin, E.A.; Mansour, K.M.K.; Schneiders, P.B.; da Silva, A.L.G.
Publication:Brazilian Journal of Medical and Biological Research
Article Type:Report
Date:Jun 1, 2018
Words:5323
Previous Article:Chemical characterization, antioxidant and antimicrobial activity of propolis obtained from Melipona quadrifasciata quadrifasciata and Tetragonisca...
Next Article:Searching for the best real-time RT-PCRs to detect Zika virus infections: the importance of comparing several protocols.
Topics:

Terms of use | Privacy policy | Copyright © 2021 Farlex, Inc. | Feedback | For webmasters |