|Autonomic modulations in patients with bronchial asthma based on short-term heart rate variability.|
|Jump to Full Text|
|PMID: 22919165 Owner: NLM Status: PubMed-not-MEDLINE|
|BACKGROUND: Although enhanced cholinergic activity of asthmatics has been established early on, little heart rate variability (HRV) studies were done on asthma patients. Previous HRV studies were based on 24-hour recordings and therefore have not considered the extremely labile activity of bronchial asthma.
OBJECTIVE: To evaluate the pattern of autonomic modulations in asthmatic patients based on short-term HRV studies.
MATERIALS AND METHODS: The study involved 100 asthmatic patients with an age range of 20-40 years. Asthma activity was evaluated over the last month prior to patients' assessment using asthma control test (ACT). Allflow Spirometer was used for assessing pulmonary function, while Biocom 3000 electrocardiography recorder was used for studying 5-minute HRV. Data was analyzed using the Statistical Package for the Social Sciences Software. Heart rate and asthma medications were introduced as a covariate when studied variables were screened for significant correlation between measurements of asthma severity and heart rate variability indices using partial correlations.
RESULTS: The level of asthma control correlate positively with both normalized low frequency (LF Norm) and the ratio of low frequency/high frequency (LF/HF) (CC = 0.302, 0.212 and P = 0.002, 0.036, respectively) and negatively with HF Norm (CC = -0.317, P = 0.001). Duration of asthma correlates positively with normalized high frequency (HF Norm) (CC = 0.235, P = 0.020) and negatively with LF Norm (CC = -0.250, P = 0.013).
CONCLUSION: Poor asthma control is associated with lower HRV, depressed sympathetic and enhanced parasympathetic modulations especially in those with longer asthma duration.
|Mohamed F Lutfi|
Related Documents :
|2421015 - Ultrasound versus digitally directed prostatic needle biopsy.
21852155 - Gastroesophageal reflux during enteral feeding in stroke patients: a 24-hour esophageal...
21888655 - Sentinel lymph node biopsy is unsuitable for routine practice in younger female patient...
19585215 - Preoperative diagnosis of the axillary arch with multidetector row computed tomography ...
6217535 - Characterisation of blood and synovial fluid lymphocytes from patients with rheumatoid ...
2381215 - Selective management of patients with neutropenic enterocolitis using peritoneal lavage.
|Type: Journal Article|
|Title: Lung India : official organ of Indian Chest Society Volume: 29 ISSN: 0974-598X ISO Abbreviation: Lung India Publication Date: 2012 Jul|
|Created Date: 2012-08-24 Completed Date: 2012-10-02 Revised Date: 2013-05-30|
Medline Journal Info:
|Nlm Unique ID: 8405380 Medline TA: Lung India Country: India|
|Languages: eng Pagination: 254-8 Citation Subset: -|
|Department of Physiology, Faculty of Medicine and Health Sciences, Alneelain University, Sudan.|
|APA/MLA Format Download EndNote Download BibTex|
Journal ID (nlm-ta): Lung India
Journal ID (iso-abbrev): Lung India
Journal ID (publisher-id): LI
Publisher: Medknow Publications & Media Pvt Ltd, India
Copyright: © Lung India
Print publication date: Season: Jul-Sep Year: 2012
Volume: 29 Issue: 3
First Page: 254 Last Page: 258
PubMed Id: 22919165
Publisher Id: LI-29-254
|Autonomic modulations in patients with bronchial asthma based on short-term heart rate variability|
|Mohamed F. Lutfiaff1|
Department of Physiology, Faculty of Medicine and Health Sciences, Alneelain University, Sudan
|Correspondence: Address for correspondence: Dr. Mohamed Faisal Lutfi, Department of Physiology, Faculty of Medicine and Health Sciences, Alneelain University, Khartoum, Sudan. E-mail: firstname.lastname@example.org
Heart rate variability (HRV) assesses the differences of the periods between consecutive heartbeats, which vary under autonomic control. HRV can be measured by the time domain method, the frequency domain method and others.  In the time domain method, mean heart rate (MHR), the square root of variance of RR intervals (SDNN) and square root of the mean squared differences of successive RR intervals (RMSSD) can be calculated. On the other hand, frequency domain parameters include total power (TP), very low frequency (VLF), low frequency (LF), high frequency (HF), normalized low frequency (LF Norm), normalized high frequency (HF Norm) and LF/HF ratio.
SDNN reflects all cyclic components of the variability in recorded series of RR intervals.[1–3] RMSSD is an estimate of high-frequency variations in short-term RR recordings and therefore reflects parasympathetic regulation of the heart.[1–3] TP reflects overall autonomic activity. The physiological explanation of the VLF component is less defined. The LF power is modulated by both sympathetic and parasympathetic outflows as well as by other factors, including baroreceptor activity.[4, 5]
The advantage of the normalized low frequency (LF Norm) and the normalized high frequency (HF Norm) is that they minimize the effect of changes in very low frequency power and emphasizes changes in sympathetic and parasympathetic regulation respectively. LF Norm is the ratio between absolute value of the low frequency and difference between total power and very low frequency. HF Norm is the ratio between absolute value of the high frequency and difference between total power and very low frequency. LF/HF ratio signifies the overall balance between sympathetic and parasympathetic systems.[1–3]
Although enhanced cholinergic activity of asthmatics has been established at least four decades ago,[6, 7] little HRV studies were done on asthma patients.[8–11] Moreover, the results of these studies are not reproducible, probably due to inter-individual differences of autonomic balance in test groups or inadequacy of methods.
Almost all previous researches on HRV of asthmatics considered asthma severity at the time of the studies without special concern for the disease control. Moreover, all these studies were based on 24-hour HRV recordings. Although long-term HRV looks more attractive, it may be less effective in determining the relation between autonomic modulations and asthma activity. This is because asthma activity is extremely labile and can change throughout the day.[12, 13] Other determinants of heart rhythm are similarly not constant during the day, e.g., respiratory rate and blood pressures.[15–17] Therefore, it seems more logical to study short-term HRV under similar conditions where these parameters are less likely to change significantly. Several studies confirm that short-term correlate very well with long-term HRV. Desok et al. demonstrate that fifteen to thirty second heartbeat measurements were long enough to produce reliable long-term patterns of HRV features. Thus, short and intermittent recordings of heartbeats could be used to detect long-term HRV patterns. This is especially true for power spectral measures of RR variability calculated from short (2 to 15 minutes) ECG recordings. Another advantage of short-term HRV is that it is more practical and less expensive when needed for the purpose of follow-up in outpatient clinics.
This study aims to evaluate the pattern of autonomic modulations in asthmatic patients based on short-term HRV studies. The present study has considered asthma activity over the last month prior to patients’ evaluations using internationally valid and reliable test, namely Asthma Control Test (ACT).[21–23] The relation between autonomic modulation and the duration of bronchial asthma was also appraised.
The study involved one hundred patients with past medical history of bronchial asthma (at least for two years) selected from chest clinics of teaching hospitals in Khartoum state – Sudan. Patients with past medical history suggestive of other chronic respiratory diseases, diabetes mellitus, hypertension, heart diseases or any illness that may alter heart rate were excluded from the study. The ages range between 20-40 years.
Volunteers arrived at the physiology laboratory between 09.00 and 12.00 am. Asthma history and drug therapy was recorded to assess asthma activity at the time of examination as well as over the last month prior to patients’ evaluation using asthma control test (ACT).[24, 25] The ACT is a 5-item patient-administered survey for assessing asthma control. Each of the five questions is given a score from 1 to 5. Responses from the ACT are summated to yield a score that ranges from 5 (no control) to 25 (complete control). A score of 20 or higher was used as discriminating cut-off to define totally from poorly controlled patients while a score of 15 or lower was used as discriminating cut-off to define asthma that was not controlled at all.[21–25] Allflow Spirometer (Version 5.18 - Clement Clarke International Limited – U. K) was used for assessing pulmonary function according to ATS/ERS standards. Biocom 3000 ECG recorder (Heart Rhythm Scanner - Version 2.0 - Biocom Technologies – U.S.A) was used for studying HRV.
Statistical evaluation was performed using the Microsoft Office Excel (Microsoft Office Excel for Windows; 2003) and SPSS (version 19). Screening studied variables for significant correlation between measurements of asthma severity and HRV indices were performed using bivariate correlation. In physiological studies comparing HRV in different well-defined groups, the differences between underlying heart rate should also be properly noted. Therefore, heart rate (MHR) was introduced as a covariate in the statistical analysis of HRV using partial correlations. P < 0.05 was considered significant.
According to ACT, seventeen subjects (17%) of the studied patient were suffering from well controlled asthma, twenty-seven (27%) were poorly controlled, and fifty-six (56%) were uncontrolled. The means (M) and standard deviations (SD) of age and other physical characteristics of studied asthmatic patients are summarized in Table 1. Table 2 demonstrates the M ± SD of the time and the frequency domains HRV indices of studied asthmatic patients when classified according to ACT. Figures 1 and 2 compare LF Norm, HF Norm, and LF/HF between different classes of asthma patients. The significances of the correlations between ACT state and HRV indices are given in Table 3.
Following adjustment for MHR and anti-asthma medications, ACT score correlates positively with both LF Norm (CC = 0.302, P = 0.002) and LF/HF (CC = 0.212, P = 0.036) and negatively with HF Norm (CC = -0.317, P = 0.001).
All studied asthma classes, namely well controlled, poorly controlled, and uncontrolled asthmatic patients, had long-standing history of asthma (M ± SD = 17.88 ± 10.55, 8.93 ± 6.97 and 10.93 ± 8.14 years, respectively). However, asthma duration was significantly higher in well controlled compared with both poorly controlled and uncontrolled asthmatic patients (P = 0.000 for both). Duration of asthma correlates positively with HF Norm (CC = 0.235, P = 0.020) and negatively with LF Norm (CC= -0.250, P = 0.013). High FEV1 is associated with higher HF component of the power spectral density (CC = 0.200, P = 0.049). High FVC is associated with improved HRV as indicated by SDNN (CC = 0.275, P = 0.006), RMSSD (CC = 0.294, P = 0.003), TP (CC = 0.271, P = 0.007), LF (CC = 0.248, P = 0.014), and HF (CC = 0.271, P = 0.07). Neither FEV1 % nor PEFR show significant correlations with HRV indices.
It is evident from the results that higher level of asthma control is associated with improved sympathetic (LF Norm and LF/HF) and depressed parasympathetic (HF Norm) modulations. Moreover, asthmatic patients with better ventilatory functions have the benefit of enhanced HRV as indicated by the significant positive correlations between FVC and SDNN, RMSSD, TP, LF, HF. These results are comparable with the earlier HRV researches in asthmatic patients, although previous studies were mostly in children and based on smaller sample size.[8–11] Almost all previous studies were designed to compare healthy controls with different classes of asthma severity and none of them was able to demonstrate significant correlations between parameters of asthma severity and HRV indices. For example, Garrard et al. evaluated ten healthy controls, nine asymptomatic, untreated asthmatic subjects, and ten asthmatic patients during treatment for acute asthma, by measurement of the variation in resting heart rate using frequency spectrum analysis. Spectral density of the beat-to-beat heart rate was measured with the LF and HF. Sympathetically mediated heart rate variability (LF Norm) was significantly lower in both asymptomatic and acute asthma subjects compared to the controls. However, the study failed to prove dominance of parasympathetic modulations (HF Norm) in asthmatic groups. In contrast, Du et al. were able to demonstrate enhanced vagal tone when comparing 23 healthy volunteers and 69 asthmatic young adults. In addition, the study showed diminished LF and SDANN in the test group.
Kazuma et al. analyzed the 24-hour HRV in asthmatic children (ages 5-15 years). These subjects were divided into groups according to the severity of their asthma. The autonomic nervous function (ANF) of asthma subjects was lower in comparison to the normal group. SDNN, LF, and HF were lowest in the severe asthma group. One year later, Kazuma and his group examined the circadian rhythm of parasympathetic nervous function in asthmatic children. Circadian rhythm disappeared in 11.25% of asthmatic children and was observed in all the individuals in the healthy children. Moreover, the parasympathetic nervous function was low during periods of remission.
The current results also showed that asthma duration correlates positively with HF Norm and negatively with LF Norm. One major difference between mild and severe asthma is the duration of contact of small airways to inflammatory mediators. This is especially true if one consider inadequate clearance of inflammatory mediators secondary to arterial luminal narrowing observed in bronchial circulation of uncontrolled/persistent asthma patients. The attenuated sympathetic activity (as indicated by LF Norm) in those with longer asthma duration offers a good choice for vasodilatation of the already narrowed blood vessels by the effect of remodeling and hence better washout of the inflammatory mediators. However, this hypothesis remains to be investigated by further study. Alternatively, the enhanced parasympathetic activity (as indicated by HF Norm) in those with longer asthma duration will further aggravate bronchoconstriction and worsen asthma symptoms.
The current results also showed that all studied asthma classes, namely well controlled, poorly controlled, and uncontrolled asthmatic patients, had long-standing history of asthma. However, asthma duration was significantly higher in well controlled compared with both poorly controlled and uncontrolled asthmatic patients. Although asthma duration was significantly higher in well controlled compared with both poorly controlled and uncontrolled asthmatic patients, it seems that there was enough time for inflammatory mediators to act in both controlled and uncontrolled asthmatic patients (M ± SD of asthma duration = 17.88 ± 10.55 and 10.93 ± 8.14 year, respectively). Moreover, longer asthma duration in well controlled patients could be explained by the fact that asthmatics with longer history of the disease became more knowledgeable in dealing with asthma, e.g., avoidance of triggers, compliance with treatment protocols, and therefore, release of less quantity of inflammatory mediators.
In conclusion, previous studies examining the pattern of autonomic modulations in asthmatic patients report mixed findings possibly due to inadequacy of methods. In the present study, all diseases that may affect HRV were excluded in studied subjects; statistical analysis has considered variations due the differences in MHR and anti-asthma medications among asthmatic patients; and HRV was studied over a short duration to safeguard against the labile activity of asthma. All these considerations make the effects of possible confounding factors on autonomic modulation unlikely in this study. Results were interesting and revealed that poor asthma control is associated with depressed sympathetic and enhanced parasympathetic modulations especially in those with longer asthma duration. Moreover, asthmatic patients with better ventilatory functions have the benefit of better HRV.
Source of Support: Nil
Conflict of Interest: None declared.
During this work, I have collaborated with many colleagues in Al Neelain University, for whom I have great regard, and I wish to extend my warmest thanks to Prof. M. Y. Sukkar, Dr. Amal M. Saeed, Dr. Ahmed Babikir and Dr. Ramaze F. Elhakeem.
|1.||Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability standards of measurement, physiological interpretation and clinical useCirculationYear: 199693651043|
|2.||Lutfi MF. Review article: Heart rate variabilitySud JMSYear: 201164350|
|3.||Vanderlei LC,Pastre CM,Hoshi RA,Carvalho TD,Godoy MF. Basic notions of heart rate variability and its clinical applicabilityRev Bras Cir CardiovascYear: 2009242051719768301|
|4.||Ori Z,Monir G,Weiss J,Sayhouni X,Singer DH. Heart rate variability. Frequency domain analysisCardiol ClinYear: 1992104995371504981|
|5.||Moak JP,Goldstein DS,Eldadah BA,Saleem A,Holmes C,Pechnik S,et al. Supine low-frequency power of heart rate variability reflects baroreflex function, not cardiac sympathetic innervationCleve Clin J MedYear: 200976Suppl 2S51919376985|
|6.||Simonsson BG,Jacobs FM,Nadel JA. Role of autonomic nervous system and the cough reflex in the increased responsiveness of airways in patients with obstructive airway diseaseJ Clin InvestYear: 196746181286070326|
|7.||Molfino N,Slutsky A,Julia-Serda G,Hoffstein V,Szalai J,Chapman K,et al. Assessment of airway tone in asthmaAm Rev Respir DisYear: 19931481238438239160|
|8.||Du J,He J,Wang Y. A study of heart rate variability in asthmaZhonghua Jie He He Hu Xi Za ZhiYear: 200124744511930705|
|9.||Garrard C,Seidle A,McKibben A,McAlpine L,Gordon D. Spectral analysis of heart rate variability in bronchial asthmaClin Auton ResYear: 19922105111638105|
|10.||Kazuma N,Otsuka K,Matsuoka I,Murata M. Heart rate variability during 24 hours in asthmatic childrenChronobiol IntYear: 1997145976069360026|
|11.||Kazuma N,Shirase E,Matsuoka I,Hirakawa N,Otani T,Honjyo M,et al. Circadian rhythm of parasympathetic nervous function in asthmatic childrenArerugiYear: 19984712485110028718|
|12.||Toungoussova O,Foschino B,Esposito L,Carpagnano G,Salerno F,Dal Negro R,et al. Brittle asthmaMonaldi Arch Chest DisYear: 200767102517695694|
|13.||Graziani E,Petroianni A,Terzano C. Brittle asthmaEur Rev Med Pharmacol SciYear: 20048135815636398|
|14.||Hirsch J,Bishop B. Respiratory sinus arrhythmia in humans: How breathing pattern modulates heart rateAm J PhysiolYear: 198110H62097315987|
|15.||Schroeder E,Liao D,Chambless L,Prineas R,Evans G,Heiss G. Hypertension, blood pressure, and heart rate variability. The Atherosclerosis Risk in Communities (ARIC) StudyHypertensionYear: 20034211061114581296|
|16.||Lucini D,Mela G,Malliani A,Pagani M. Impairment in cardiac autonomic regulation preceding arterial hypertension in humansCirculationYear: 20021062673912438292|
|17.||Fagard R,Pardaens K,Staessen J. Relationships of heart rate and heart rate variability with conventional and ambulatory blood pressure in the populationJ HypertensYear: 2001193899711288808|
|18.||Min K,Min J,Paek D,Cho S,Son M. Is 5-minute heart rate variability a useful measure for monitoring the autonomic nervous system of workers?Int Heart JYear: 2008491758118475017|
|19.||Desok K,Yunhwan S,Sook-hyun K,Jung S. Short term analysis of long term patterns of heart rate variability in subjects under mental stressBioMed Eng InformYear: 2008248791|
|20.||Bigger J,Fleiss J,Rolnitzky L,Steinman R. The ability of several short-term measures of RR variability to predict mortality after myocardial infarctionCirculationYear: 199388927348353919|
|21.||Eleftherios Z,Oikonomidou E,Kainis E,Kokkala M,Petroheilou K,Gaga M. Review: Control of asthmaTher Adv Respir DisYear: 20082141819124366|
|22.||Kennedy J,Jones S. Asthma Control Test: Reliability, validity, and responsiveness in patients not previously followed by asthma specialistsPediatricsYear: 2007120S13233|
|23.||Schatz M,Mosen D,Kosinsk D,Marcus P,Murray J,Nathan R,et al. Validity of the Asthma Control Test™ Completed at HomeAm J Manag CareYear: 200713661718069909|
|24.||Vollmer W,Markson L,O’Connor E,Sanocki L,Fitterman L,Berger M. Association of asthma control with health care utilization and quality of lifeAm J Respir Crit Care MedYear: 199916016475210556135|
|25.||Juniper E,O’Byrne P,Guyatt G,Ferrie P,King D. Development and validation of a questionnaire to measure asthma controlEur Respir JYear: 199914902710573240|
|26.||Miller M,Hankinson J,Brusasco V,Burgos F,Casaburi R,Coates A,et al. Standardisation of spirometryEur Respir JYear: 2005263193816055882|
|27.||Vignola A,Chanez P,Campbell A,Riccobono L,Scichilone N,Spatafora M,et al. Airway inflammation in mild intermittent and in persistent asthmaAm J Respir Crit Care MedYear: 199815740399476850|
|28.||Green F,Butt J,James A,Carroll N. Abnormalities of the bronchial arteries in asthmaChestYear: 200613010253317035434|
[Figure ID: F1]
LF Norm and HF Norm of studied asthmatic patients
[Figure ID: F2]
LF/HF Norm of studied asthmatic patients
Keywords: KEY WORDS: Asthma control test, asthma, autonomic, heart rate variability.
Previous Document: Efficacy and safety of oral gemifloxacin for the empirical treatment of pneumonia.
Next Document: Tuberculosis diagnostics: Challenges and opportunities.