Abstract
We aimed to investigate heart rate recovery (HRR) in patients with transient ischemic attack (TIA) and the relationship between HRR and health-related quality of life (HRQOL).
All available patients were enrolled during the enrollment period. A total of 120 patients with TIA and 120 healthy controls were included in this study. A treadmill stress test was performed to calculate the HRR. The HRR were calculated as follows: HRR 1, 2, 3, and 5 minutes = heart rate at peak during exercise − heart rate at 1, 2, 3, and 5 minutes at rest. All patients enrolled were asked to fill in the Short Form 36 Health Survey to calculate HRQOL.
We found that the maximum heart rate of TIA patients was significantly higher than that of healthy controls (166 ± 11 vs. 162 ± 14 beats/min, P = .015). Similarly, maximum systolic blood pressure (SBP) and diastolic blood pressure (DBP) were higher in TIA group compared with healthy control group (SBP: 172 ± 15 vs. 165 ± 14 mm Hg, P < .001; DBP: 102 ± 12 vs. 93 ± 16 mm Hg, P < .001). The HRR were significantly lower in TIA group compared with control group (TIA vs. controls, HRR1: 17 ± 7 vs. 30 ± 8 beats/min, HRR2: 32 ± 11 vs. 49 ± 9 beats/min, HRR3: 43 ± 13 vs. 63 ± 12 beats/min, HRR5: 54 ± 16 vs. 73 ± 15 beats/min, all P < .001). Multivariate analysis showed that older age (P = .03) and high BMI (P = .04) were risk factors associated with abnormal HRR in patients with TIA. With regard to HRQOL, we found that role limitations due to physical problems, general health, vitality, and role limitations due to emotional problems were significantly lower in patients with abnormal HRR compared with patients with normal HRR. Multivariate analysis showed that older age (P = .04) and abnormal HRR (P = .03) were predictors for poor HRQOL in TIA patients.
HRR was impaired in patients with TIA. In addition, TIA patients with abnormal HRR suffered from a significantly poorer HRQOL. Hence, given the prognostic value of HRR, patients with TIA should be monitored to prevent cardiovascular events and to improve HRQOL.
Keywords: health-related quality of life, heart rate recovery, risk factor, transient ischemic attack
1. Introduction
Transient ischemic attack (TIA) is transient neurological dysfunction caused by ischemia of the brain.[1] TIA is one of the most common ischemic cerebrovascular diseases. TIA affects more than 14 million people worldwide each year, and the morbidity and mortality rates are high.[1–3] Moreover, the risk of stroke after TIA is very high. Therefore, TIA is an early warning signal for stroke intervention, and detection of TIA is also an important opportunity for secondary prevention of stroke. The symptoms of TIA are mild, but if not treated in time, it can cause serious consequences.[4,5] It can lead to severe strokes and even mortality within 5 years. In essence, TIA and cerebral infarction are different stages of a dynamic process of ischemic brain injury.[6] Although the TIA episode is transient and reversible, 70% of patients are at an unstable and high-risk state, with a higher risk of relapse or short-term progression to stroke.[7,8] TIA patients are prone to developing cerebral infarction and myocardial infarction. The overall risk of TIA recurrence, myocardial infarction, and death within 90 days after TIA occurrence is as high as 25%.[9–11] Therefore, preventing the occurrence of advanced stroke, improving the health-related quality of life (HRQOL) of patients with TIA, and improving the prognosis are important therapeutic endpoints for patients with TIA.
Heart rate recovery (HRR) is defined as the decreased heart rate after exercise.[12,13] HRR abnormalities are often seen in patients with metabolic disorders, including cardiovascular disease, fatty liver, and diabetes.[14–17] HRR is estimated by calculating heart rates at minutes 1, 2, 3, and 5 during the recovery period after maximal heart rate in a patient undergoing a maximal stress test. Impaired HRR has been reported as an independent predictor of mortality.[12,13] Although impaired HRR has been reported in patients with cardiovascular diseases, it has not been reported in patients with cerebrovascular diseases, especially patients with TIA. Whether the HRR is impaired in patients with TIA and its relationship with HRQOL is currently unknown.
Hence, the purpose of this study is to investigate HRR among patients with TIA. We also evaluated the relationship between HRR and HRQOL in patients with TIA. Our study may help to increase quality of life (QOL) in patients with TIA and provide potential novel predictor for prognosis of patients with TIA.
2. Subjects and methods
2.1. Subjects
From November 2015 to December 2017, all available patients during the enrollment period were enrolled. A total of 120 patients diagnosed with TIA by magnetic resonance imaging were enrolled. All TIA patients met the TIA diagnostic criteria proposed by American Heart Association/American Stroke Association in 2008.[6] Patients with other neurological diseases, such as intracranial hemorrhage, infection, etc., or coexist with heart disease, cardiomyopathy, and severe liver and kidney dysfunction, thyroid dysfunction, malignant tumors, acute or chronic infectious disease, were excluded. A total of 120 healthy people were also enrolled as health controls.
2.2. HRQOL measurement
All patients enrolled were asked to fill in the Short Form 36 Health Survey (SF-36). All of the subjects finished the questionnaires in a quiet room without any disruption. They could get help from professional staff if they had problem in understanding the questions. The SF-36 is a brief self-administered HRQOL instrument commonly used in various diseased populations.[18,19] It includes 8 items: physical functioning, role limitations due to physical problems (RP), bodily pain, general health (GH), vitality (VT), social functioning, role limitations due to emotional problems (RE), and mental health. The tool's validity and screening ability have been shown in various samples in China.[18,19]
2.3. HRR measurement
Baseline electrocardiogram (ECG) was assessed in all TIA patients and healthy controls. The ECG was continuously recorded during the exercise test. At the end of the exercise test, the heart rate was recorded for 5 minutes after exercise in a supine position. The HRR index was calculated by subtracting the heart rate of the first (HRR1), the second (HRR2), the third (HRR3), the fourth (HRR4), and the fifth (HRR5) minutes during HRR from the peak heart rate at exercise. The HRR index was calculated as follows: HRR 1, 2, 3, and 5 = heart rate at peak exercise − heart rate at 1, 2, 3 and 5 minutes.
2.4. Statistical analysis
Continuous variables were expressed as mean and standard deviation, and categorical variables were expressed as percentages. The Chi-squared test and t test were applied to determine whether the results were statistically different. Univariate and multivariate analyses were used to explore the factors associated with outcomes. The statistical significance of all tests was set as P < .05 by two-tailed tests. Data analyses and quality control procedures were performed using SPSS for Windows, version 13.0 (SPSS Inc, Chicago, IL).
3. Results
3.1. Clinical features of TIA patients and controls
The baseline clinical variables of the TIA patients and controls were shown in Table 1. The TIA and control groups were similar with respect to gender, age, body mass index (BMI), and levels of triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fasting glucose, and creatinine.
Table 1.
Characteristics of patients in transient ischemic attack group and control group.

3.2. Exercise test results of TIA patients and controls
All patients underwent exercise test. The results showed that TIA patients and controls were similar in terms of duration of exercise (Table 2). The maximum heart rate of TIA patients was significantly higher than that of controls (166 ± 11 vs. 162 ± 14 beats/min, P = .015). Similarly, maximum systolic blood pressure (SBP) and diastolic blood pressure (DBP) were significantly different between TIA patients and healthy controls (SBP: 172 ± 15 vs. 165 ± 14 mm Hg, P < .001; DBP: 102 ± 12 vs. 93 ± 16 mm Hg, P < .001).
Table 2.
Exercise test results between transient ischemic attack group and controls.

The HRR indices of the TIA group and the control group were shown in Figure 1. The HRR indices were significantly lower in the TIA group as compared with the control group (TIA vs. controls, HRR1: 17 ± 7 vs. 30 ± 8 beats/min, HRR2: 32 ± 11 vs. 49 ± 9 beats/min, HRR3: 43 ± 13 vs. 63 ± 12 beats/min, HRR5: 54 ± 16 vs. 73 ± 15 beats/min, P < .001).
Figure 1.

The HRR indices of the TIA group and the control group. The HRR indices were significantly lower in the TIA group as compared with the control group (TIA vs. controls, HRR1: 17 ± 7 vs. 30 ± 8 beats/min, HRR2: 32 ± 11 vs. 49 ± 9 beats/min, HRR3: 43 ± 13 vs. 63 ± 12 beats/min, HRR5: 54 ± 16 vs. 73 ± 15 beats/min, P < .001). HRR = heart rate recovery, TIA = transient ischemic attack.
3.3. Factors associated with abnormal HRR in patients with TIA
HRR2 ≥42 beats/minutes was defined normal (n = 75). The characteristics of TIA patients with normal and abnormal HRR were shown in Table 3. To further explore the relationship between characteristics and HRR, the multivariate logistic regression analysis was conducted (Table 4). The results showed that older age (P = .03) and high BMI (P = .04) were risk factors associated with abnormal HRR in patients with TIA.
Table 3.
Characteristics of transient ischemic attack patients with normal and abnormal heart rate recovery at 2 minutes.

Table 4.
Factors associated with abnormal heart rate recovery at 2 minutes among patients with transient ischemic attack.

3.4. Relationship between HRR and HRQOL in TIA patients
The HRQOL of the TIA patients was investigated. RP, GH, VT, and RE were significantly lower in TIA patients with abnormal HRR compared with patients with normal HRR (Fig. 2). Similarly, TIA patients with abnormal HRR suffered from a significantly poorer HRQOL.
Figure 2.

The HRQOL of the TIA patients with or without normal HRR. RP, GH, VT, and RE were significantly lower in TIA patients with abnormal HRR compared with patients with normal HRR (TIA patients with normal HRR vs. without normal HRR, PF: 69.4 ± 18.6 vs. 67.1 ± 15.16, RP: 46.2 ± 14.6 vs. 32.5 ± 18.8, BP: 61.7 ± 15.1 vs. 57.5 ± 17.9, GH: 58.5 ± 15.7 vs. 46.9 ± 11.8, VT: 51.3 ± 18.7 vs. 35.1 ± 12.6, SF: 52.5 ± 11.8 vs. 51.6 ± 12.3, RE: 34.3 ± 16.4 vs. 40.7 ± 17.5, MH: 58.6 ± 13.4 vs. 58.1 ± 12.7). ∗, P < .05; ∗∗∗, P < .001. BP = bodily pain, GH = general health, HRQOL = health-related quality of life, HRR = heart rate recovery, MH = mental health, PF = physical functioning, RE = role limitations due to emotional problems, RP = role limitations due to physical problems, SF = social functioning, TIA = transient ischemic attack, VT = vitality.
3.5. Factors associated with HRQOL in patients with TIA
To further validate the relationship between HRR and HRQOL in TIA patients, the social characteristics of TIA patients were compared and shown in Table 5. There were no significant differences of marital status, level of education, and level of income in TIA patients with normal or abnormal HRR. Multivariate analysis showed that older age (P = .04) and abnormal HRR (P = .03) were the predictors for the poor HRQOL in TIA patients (Table 6).
Table 5.
Social Characteristics of transient ischemic attack patients with normal and abnormal heart rate recovery at 2 minutes.

Table 6.
Factors associated with health-related quality of life among patients with transient ischemic attack.

4. Discussion
TIA is an important early warning symptom of recurrent vascular events and management of TIA is critical for preventing disabling and fatal vascular events. In this study, we found that HRR was significantly reduced in TIA patients and was closely related to HRQOL. This suggests that early screening of TIA is important for preventing the occurrence of adverse vascular events, especially for those with abnormal HRR. Moreover, it is necessary to improve the HRQOL of this population.
HRR have been reported associated with poor HRQOL in some diseases.[20–22] HRR is an indicator of autonomic nervous system function and parasympathetic activity level.[23,24] At the end of exercise, parasympathetic reactivation plays a leading role in heart rate regulation. Pierpont et al[25,26] showed that HRR is closely related to cardiovascular death and all-cause mortality. Ardic et al[27] demonstrated impaired HRR index in patients with sarcoidosis. Compared to healthy controls, TIA was also closely related to cardiovascular diseases. Prospective studies are warranted to validate that TIA patients with abnormal HRR are more likely to have adverse cardiovascular events.[28,29]
Despite remarkable progression have been reached for the treatment of TIA, the life quality of TIA patients received limited attentions. As the evolvement of modern medical pattern has been transformed from the traditional biomedical model into biology-psychology-social medical model, HRQOL was emerging as important components of care in patients with chronic diseases.
Here, we first tested HRR in patients with TIA and assessed the relationship between HRR and HRQOL. We found that HRR impairment in TIA patients was closely related to poor HRQOL. Old age and abnormal HRR were independent factors related to poor HRQOL. This suggests that for patients with TIA, monitoring HRR is an effective method of assessing HRQOL. By this means, patients with high risk of poor HRQOL can be effectively screened and targeted for intervention.
This article has some limits. First, the sample size of this study was relative small, which may cause a certain bias. All patients were enrolled in a medical center. To explore the relationship between HRR and QOL in TIA patients, a prospective multicenter randomized study is warranted.
Author contributions
Conceptualization: Yongmei Liang, Xue Mi, Zhaona Qiao.
Data curation: Yongmei Liang, Xuanmin Li, Xue Mi, Zhaona Qiao.
Formal analysis: Xuanmin Li, Xue Mi.
Investigation: Xuanmin Li, Yafang Wang, Xue Mi.
Methodology: Yongmei Liang, Xuanmin Li.
Project administration: Yafang Wang.
Software: Yafang Wang, Zhaona Qiao.
Supervision: Xuanmin Li, Xue Mi, Zhaona Qiao.
Validation: Yafang Wang, Xue Mi, Zhaona Qiao.
Visualization: Yongmei Liang, Xue Mi, Zhaona Qiao.
Writing – original draft: Yongmei Liang, Xuanmin Li, Zhaona Qiao.
Writing – review & editing: Yongmei Liang.
Footnotes
Abbreviations: BMI = body mass index, BP = blood pressure, BP = bodily pain, DBP = diastolic blood pressure, GH = general health, HDL = high-density lipoprotein, HRQOL = health-related quality of life, HRR = heart rate recovery, HRR2 = heart rate recovery at 2 minutes, LDL = low-density lipoprotein, MH = mental health, PF = physical functioning, RE = role limitations due to emotional problems, RP = role limitations due to physical problems, SBP = systolic blood pressure, SF = social functioning, SF-36 = Short Form 36 Health Survey, TIA = transient ischemic attack, VT = vitality.
The Institutional Review Board had approved this study. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.
Informed consent was obtained from all patients for inclusion in the study.
The authors have no conflicts of interest to disclose.
References
- [1].Edlow JA. Managing patients with transient ischemic attack. Ann Emerg Med 2018;71:409–15. [DOI] [PubMed] [Google Scholar]
- [2].Zhong W, Geng N, Wang P, et al. Prevalence, causes and risk factors of hospital readmissions after acute stroke and transient ischemic attack: a systematic review and meta-analysis. Neurol Sci 2016;37:1195–202. [DOI] [PubMed] [Google Scholar]
- [3].Khare S. Risk factors of transient ischemic attack: an overview. J Midlife Health 2016;7:2–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Sehatzadeh S. Is transient ischemic attack a medical emergency? An evidence-based analysis. Ont Health Technol Assess Ser 2015;15:1–45. [PMC free article] [PubMed] [Google Scholar]
- [5].Xie W, Zheng F, Zhong B, et al. Long-term antiplatelet mono- and dual therapies after ischemic stroke or transient ischemic attack: network meta-analysis. J Am Heart Assoc 2015;4:e2259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [6].Adams RJ, Albers G, Alberts MJ, et al. Update to the AHA/ASA recommendations for the prevention of stroke in patients with stroke and transient ischemic attack. Stroke 2008;39:1647–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [7].Yao JC, Cui M, Pan MM, et al. Efficacy and safety of CYP2C19 genotype in stroke or transient ischemic attack patients treated with clopidogrel monotherapy or clopidogrel plus aspirin: Protocol for a systemic review and meta-analysis. Medicine (Baltimore) 2018;97:e11060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [8].Tian Y, Jia H, Li S, et al. The associations of stroke, transient ischemic attack, and/or stroke-related recurrent vascular events with lipoprotein-associated phospholipase A2: a systematic review and meta-analysis. Medicine (Baltimore) 2017;96:e9413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Andrade SE, Harrold LR, Tjia J, et al. A systematic review of validated methods for identifying cerebrovascular accident or transient ischemic attack using administrative data. Pharmacoepidemiol Drug Saf 2012;21Suppl 1:100–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [10].Davis SM, Donnan GA. Clinical practice. Secondary prevention after ischemic stroke or transient ischemic attack. N Engl J Med 2012;366:1914–22. [DOI] [PubMed] [Google Scholar]
- [11].Plummer C, Henderson RD, O'Sullivan JD, Read SJ. Ischemic stroke and transient ischemic attack after head and neck radiotherapy: a review. Stroke 2011;42:2410–8. [DOI] [PubMed] [Google Scholar]
- [12].Lachman S, Terbraak MS, Limpens J, et al. The prognostic value of heart rate recovery in patients with coronary artery disease: a systematic review and meta-analysis. Am Heart J 2018;199:163–9. [DOI] [PubMed] [Google Scholar]
- [13].Qiu S, Cai X, Sun Z, et al. Heart rate recovery and risk of cardiovascular events and all-cause mortality: a meta-analysis of prospective cohort studies. J Am Heart Assoc 2017;6:1–2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Cai S, Ou Z, Liu D, et al. Risk factors associated with liver steatosis and fibrosis in chronic hepatitis B patient with component of metabolic syndrome. United European Gastroenterol J 2018;6:558–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Ou H, Cai S, Liu Y, et al. A noninvasive diagnostic model to assess nonalcoholic hepatic steatosis in patients with chronic hepatitis B. Therap Adv Gastroenterol 2017;10:207–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [16].Zeng J, Cai S, Liu J, et al. Dynamic changes in liver stiffness measured by transient elastography predict clinical outcomes among patients with chronic hepatitis B. J Ultrasound Med 2017;36:261–8. [DOI] [PubMed] [Google Scholar]
- [17].Cai SH, Lu SX, Liu LL, et al. Increased expression of hepatocyte nuclear factor 4 alpha transcribed by promoter 2 indicates a poor prognosis in hepatocellular carcinoma. Therap Adv Gastroenterol 2017;10:761–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Lai W, Cai S. Comment on “Prevalence of Anxiety and Depression in Patients with Inflammatory Bowel Disease”. Can J Gastroenterol Hepatol 2018;2018:6747630. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Xue X, Cai S, Ou H, et al. Health-related quality of life in patients with chronic hepatitis B during antiviral treatment and off-treatment. Patient Prefer Adherence 2017;11:85–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Ote KS, Demirsoy N, Gunendi Z. Effects of aerobic exercise on pain sensitivity, heart rate recovery, and health-related quality of life in patients with chronic musculoskeletal pain. Int J Rehabil Res 2017;40:164–70. [DOI] [PubMed] [Google Scholar]
- [21].Tsarouhas K, Karatzaferi C, Tsitsimpikou C, et al. Effects of walking on heart rate recovery, endothelium modulators and quality of life in patients with heart failure. Eur J Cardiovasc Prev Rehabil 2011;18:594–600. [DOI] [PubMed] [Google Scholar]
- [22].von Kanel R, Saner H, Kohls S, et al. Relation of heart rate recovery to psychological distress and quality of life in patients with chronic heart failure. Eur J Cardiovasc Prev Rehabil 2009;16:645–50. [DOI] [PubMed] [Google Scholar]
- [23].Morita AA, Silva L, Bisca GW, et al. Heart rate recovery, physical activity level, and functional status in subjects With COPD. Respir Care 2018;63:1002–8. [DOI] [PubMed] [Google Scholar]
- [24].Wu F, Zhou J, Zheng H, Liu G. Decreased heart rate recovery in women with a history of pre-eclampsia. Pregnancy Hypertens 2018;13:25–9. [DOI] [PubMed] [Google Scholar]
- [25].Pierpont GL, Stolpman DR, Gornick CC. Heart rate recovery post-exercise as an index of parasympathetic activity. J Auton Nerv Syst 2000;80:169–74. [DOI] [PubMed] [Google Scholar]
- [26].Pierpont GL, Adabag S, Yannopoulos D. Pathophysiology of exercise heart rate recovery: a comprehensive analysis. Ann Noninvasive Electrocardiol 2013;18:107–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].Ardic I, Kaya MG, Yarlioglues M, et al. Impaired heart rate recovery index in patients with sarcoidosis. Chest 2011;139:60–8. [DOI] [PubMed] [Google Scholar]
- [28].Ghaffari S, Kazemi B, Aliakbarzadeh P. Abnormal heart rate recovery after exercise predicts coronary artery disease severity. Cardiol J 2011;18:47–54. [PubMed] [Google Scholar]
- [29].Medeiros WM, de Luca FA, de Figueredo JA, et al. Heart rate recovery improvement in patients following acute myocardial infarction: exercise training, beta-blocker therapy or both. Clin Physiol Funct Imaging 2018;38:351–9. [DOI] [PubMed] [Google Scholar]
