Volume 29, Issue 11 pp. 617-623
Original Article
Open Access

Oxygen uptake response to cycle ergometry in post-acute stroke patients with different severity of hemiparesis

Chun-Kai Chen

Chun-Kai Chen

Department of Physical Medicine and Rehabilitation, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan

Graduate Institute of Medicine, Collage of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan

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Ming-Cheng Weng

Ming-Cheng Weng

Department of Physical Medicine and Rehabilitation, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan

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Tien-Wen Chen

Tien-Wen Chen

Department of Physical Medicine and Rehabilitation, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan

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Mao-Hsiung Huang

Corresponding Author

Mao-Hsiung Huang

Department of Physical Medicine and Rehabilitation, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan

Department of Physical Medicine and Rehabilitation, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan

Corresponding author. Department of Physical Medicine and Rehabilitation, Kaohsiung Medical University Hospital, 100 Tzyou 1st Road, Kaohsiung 807, Taiwan.Search for more papers by this author
First published: 12 August 2013
Citations: 7

Abstract

This study evaluated the impact of severity of hemiparesis on oxygen uptake urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0004 response in post-acute stroke patients. Sixty-four patients with a mean poststroke interval of 8.6 ± 3.8 days underwent a ramp cardiopulmonary exercise test on a cycling ergometer to volitional termination. Mean peak urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0005 and work efficiency urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0006 were measured by open-circuit spirometry during standard upright ergometer cycling. Severity of the hemiparetic lower limb was assessed by Brunnstrom's motor recovery stages lower extremity (BMRSL). urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0007 was 10% lower in hemiparetic leg with BMRSL V than in that with BMRSL VI, 20% lower in BMRSL IV, and 50% lower in BMRSL III. urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0008 was higher for the group with increased BMRSL. The relations were consistent after adjustment for age, sex, body mass index, stroke type, hemiparetic side, modified Ashworth Scale, time poststroke, comorbidities, and medications. Our findings revealed that O2peak is dependent on the severity of hemiparesis in leg, and along with ΔO2/ΔWR closely related to the severity of hemiparesis in post-acute stroke patients, regardless of the types and locations of lesion after stroke, as well as the differences in comorbidities and medications.

Introduction

Stroke is a leading cause of disability that results not only in persistent neurological deficits, but also in physical deconditioning that worsens disability and cardiovascular risk and increases risks for additional strokes [1]. Because the presence of cardiovascular disease can adversely affect the peak oxygen uptake (urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0009—the index of aerobic capacity attained during physical work to volitional exhaustion) and the ability to respond to physiologic stresses induced by prolonged physical effort [2], the limited urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0010 is likely to further disable stroke patients in their ability to carry out routine functional tasks and extended activities of daily living. Hence, cardiovascular and neuromuscular impairments, together with physical inactivity resulting from stroke, adversely affect urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0011

Although post-acute stroke patients often have poor urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0012 [3], fitness training has not been a standard component of stroke rehabilitation, in which strengthening, coordination, and self-care abilities have dominated immediately after the neurologic status becomes stable. Poststroke patients with low basal levels of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0013 experience greatest benefits in terms of cardiovascular conditioning, even at relatively modest levels of physical exercise [4]. Even a small gain in aerobic power should improve not only functional capacity, but also survival prospects. Therefore, a more rational investigation of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0014 is critical for the design of aerobic exercise prescription for post-acute stroke patients. However, there are serious barriers to the assessment of limited urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0015 in post-acute stroke patients. Patients in the chronic poststroke period (>6 months) had abnormally low urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0016—approximately 25–45% below that of age- and gender-adjusted norms for sedentary individuals [5]-[8], and the mean urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0017 about 1 month poststroke was 60% of the normative values for sedentary healthy individuals [9]. This discrepancy in aerobic capacity assessment may be related to differences in patient selection; differences in stroke type, location of lesion, and timing of intervention after stroke; and differences in neuromuscular impairment.

Treadmill exercise testing can be used to identify exercise-induced cardiac risks and develop an exercise prescription. Standard treadmill testing may especially be difficult in post-acute stroke patients because of impairments in the legs, trunk strength, and coordination. Cycle ergometry provides some advantages over the treadmill for post-acute stroke patients with impairments in walking and balance [3], [5]. In addition, cycle ergometry is preferred to the treadmill as it provides more precise estimation of the urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0018 response, including work rate-urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0019 of work performance, and work efficiency (slope of the urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0020-WR relationship, urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0021)—oxygen (O2) utilization by the muscle cells in relation to the quantity of external work performance [10]. For assessing urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0022 response during cycle ergometry in poststroke patients, it is important to distinguish between: the resting urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0023 which shows the basal energy cost; the unloaded urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0024 which reflects the energy required to move legs at a set frequency (i.e., internal work); and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0025 which represents the energy cost of performing the sum of internal and external work [11].

Leg movement accounts for approximately 60–70% of the energy cost in cycling [12]; however, little is known about the impact of severity of hemiparesis on urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0026 response during cycle ergometry in post-acute stroke patients. Therefore, the purpose of this study was to investigate the potential impact of severity of hemiparesis on urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0027 response in patients with post-acute stroke.

Materials and methods

Participants

All patients who had a primary diagnosis of first-time stroke, confirmed by both clinical and radiographic means, and who were admitted to the acute stroke service of Kaohsiung Medical University Medical Center were consecutively screened for eligibility. The inclusion criteria were as follows: (1) ≥18 years of age; (2) within 2 weeks poststroke [13]; (3) no evidence of dementia (as indicated by a score ≥24 of 30 on the mini-mental state examination [14]) or coronary artery disease (as indicated by the presence of at least one of the following: myocardial infarction by history or electrocardiogram, angina pectoris, percutaneous coronary intervention, or coronary artery bypass graft surgery [15]); (4) greater than Stage II of Brunnstrom's motor recovery stages lower extremity (BMRSL; where active voluntary movement is present without facilitation [16]); and (5) no contraindications to exercise testing outlined by the American College of Sports Medicine (ACSM) [17].

The clinical history and medical examination of each patient enrolled were recorded, noting their smoking habits and history of comorbidities such as hypertension, diabetes mellitus, and chronic obstructive pulmonary disease. The severity of hemiparetic lower limb was assessed by BMRSL. Spasticity of this limb was evaluated by the modified Ashworth Scale (MAS) [18]. None of the participants had any significant physical training prior to stroke, nor were they trained cyclists. The prospective individuals who met the criteria were informed of the procedures, known risks, and benefits. Informed consents (as approved by the Human Experiment and Ethical Committee, Kaohsiung Medical University Hospital) were obtained from all the participants. Remuneration was not offered.

Anthropometry

Body height and weight were measured following standard techniques with the participants in light clothes without shoes; the body height was determined to the nearest 0.5 cm and the body weight measured with a precision of ±0.1 kg. The body mass index (BMI) was calculated as body weight divided by height squared.

Exercise tests

All tests were performed on a calibrated, electromagnetically braked cycle ergometer (Corival V2; Lode BV, Groningen, The Netherlands). During the testing, the patients were seated in an upright position on the cycle with their hands in a relaxed position on the handlebars. The exercise testing on the ergometer was performed according to the ramp-incremental protocol for stroke patients and continued to either voluntary exhaustion or inability to maintain a pedaling rate of 50 rpm [19]. Following a 4-minute rest period, the patients began pedaling on the ergometer at 60 rpm at a work rate of zero load for 4 minutes. After the patients reached a steady rate at zero load, the testing advanced to the ramp protocol. Throughout all power outputs, they were required to maintain a constant pedaling rate of 60 rpm. The testing was terminated following the ACSM guidelines [17]. The expired gas was analyzed via open-circuit spirometry using a gas analyzer (MetaMax 3B; CORTEX Biophysik GmbH, Leipzig, Germany) to determine urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0028 Volume calibration and calibration of gases, using standard gases, were carried out prior to each test. Each patient wore a mask and breathed room air through a two-way directional valve system that was attached.

urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0029 was determined during the 4th-minute rest period, and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0030 during the 4th-minute zero work load period. urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0031 was the average of values recorded during the last 30 seconds of the test.

Statistical analysis

The calculated data were entered into a computer for statistical analysis, using the SAS statistical package (SAS Institute, version 9; Cary, NC, USA). A descriptive analysis was performed initially to evaluate the distribution of the variables. Means and their standard deviations (SDs) were obtained for values in participants. Frequencies and percentages were calculated for the categorical variables. For comparing between groups, either the Chi-square test or an analysis of covariance (ANOVA) was used, as appropriate. Multivariate adjustments were made to examine how far the effect of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0032 response might be explained by the severity of poststroke hemiparesis. Age (and sex in the combined model) was adjusted in model A; age, sex, and BMI were adjusted in model B; stroke type, hemiparetic side, MAS, and time poststroke were adjusted in model C, in addition to the adjustments in model B; and comorbidities and medications were adjusted in model D, in addition to the adjustments in model C. Adjusted means were computed from the ANOVA analysis of covariance models. The trend relationship between urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0033 response and severity of poststroke hemiparesis was performed using Pearson's correlation analysis. Statistical significance was prospectively defined as p < 0.05.

Results

Participant characteristics

Of the 69 patients enrolled in the study, one female patient of BMRSL III was excluded because she was unable to sit on the ergometer; in addition, one male and one female of BMRSL III and one male and one female of BMRSL IV did not cycle at a steady rate at zero load and were subsequently withdrawn from the study. Patients' demographics and clinical characteristics in different BMRSL are shown in Table 1. Study groups were similar in terms of age, gender, body weight, and BMI. Groups exhibited a similar distribution of medications and comorbidities, including hypertension, and current or past smoking; however, the groups with BMRSL III, IV, and V had a significantly higher prevalence of mellitus diabetes, and the groups with BMRSL IV and V had a significantly higher prevalence of hyperlipidemia.

Table 1. Demographic and clinical characteristics categorized by Brunnstrom's motor recovery stages lower extremity.
Clinical characteristics Brunnstrom's motor recovery stages lower extremity p
All (n = 64) III (n = 14) IV (n = 16) V (n = 22) VI (n = 12)
Age (y) 59.2 ± 10.7 60.1 ± 9.0 58.0 ± 11.7 61.2 ± 9.8 61.2 ± 9.6 0.4307
Male 51 (79.7) 23 (79.3) 14 (87.5) 15 (68.2) 10 (83.3) 0.4210
Height (cm) 164.4 ± 8.1 166.0 ± 9.1 164.8 ± 8.4 162.5 ± 8.1 165.7 ± 7.0 0.5752
Weight (kg) 65.8 ± 10.9 69.4 ± 12.6 67.7 ± 10.4 62.4 ± 8.4 65.6 ± 12.9 0.2474
BMI (kg/m2) 24.3 ± 3.2 25.1 ± 2.9 24.9 ± 2.8 23.7 ± 3.1 23.8 ± 4.1 0.4949
Medications
 β-Blockers 7 (10.9) 0 (0) 1 (6.3) 4 (18.2) 2 (16.7) 0.2994
 Calcium-channel blockers 30 (46.9) 7 (50) 9 (56.3) 9 (40.9) 5 (41.7) 0.7856
 Angiotensin II receptor blockers 25 (39.1) 6 (42.9) 9 (56.3) 8 (36.4) 2 (16.7) 0.1979
 Angiotensin-converting enzyme inhibitors 3 (4.7) 2 (14.3) 0 (0) 1 (4.5) 0 (0) 0.2342
 Antiplatelets 48 (75.0) 7 (50.0) 14 (87.5) 17 (77.3) 10 (83.3) 0.0895
 Anticoagulants 4 (6.3) 1 (7.1) 1 (6.3) 1 (4.5) 1 (8.3) 0.9748
Comorbidities
 Diabetes mellitus 29 (45.3) 7 (50.0) 8 (50.0) 13 (59.1) 1(8.3) 0.0355
 Hypertension 48 (75.0) 11 (78.6) 15 (93.8) 16 (72.7) 6 (50.0) 0.0671
 Hyperlipidemia 26 (40.6) 2 (14.3) 11 (68.8) 10 (45.5) 3 (25.0) 0.0135
 Current smoking 36 (56.3) 9 (64.3) 10 (62.5) 7 (31.8) 7 (58.3) 0.1418
 Past smoking 3 (4.7) 0 (0) 1 (6.3) 1 (4.5) 1 (8.3) 0.7689
  • Data are presented as n (%) or mean ± SD unless otherwise indicated. SD = standard deviation.

The clinical stroke features classified according to BMRSL are presented in Table 2. The type of stroke, hemiparetic side, and poststroke time were not significantly different between study groups. The MAS scores were higher in the group with BMRSL III; however, the differences were not statistically significant compared to the group with BMRSL IV.

Table 2. Clinical stroke features categorized by Brunnstrom's motor recovery stages lower extremity.
Clinical characteristics Brunnstrom's motor recovery stages lower extremity p
All (n = 64) III (n = 14) IV (n = 16) V (n = 22) VI (n = 12)
Type of stroke
 Ischemic 52 (81.3) 9 (64.3) 15 (93.8) 18 (81.8) 10 (83.3) 0.2285
 Hemorrhagic 11 (17.2) 5 (35.7) 1 (6.3) 4 (18.2) 1 (8.3) 0.1449
 Both 1 (1.6) 0 (0) 0 (0) 0 (0) 1 (8.3) 0.5340
Hemiparetic side
 Right 30 (46.9) 6 (42.9) 9 (56.3) 13 (59.1) 2 (16.7) 0.0949
 Left 34 (53.1) 8 (57.1) 7 (43.8) 9 (40.9) 10 (83.3) 0.0949
MAS 0.1 ± 0.4 0.4 ± 0.8 0.1 ± 0.3 0 0 0.0120
Time poststroke (d) 8.6 ± 3.8 9.9 ± 4.7 8.7 ± 4.0 8.5 ± 3.9 7.2 ± 1.3 0.3376
  • Data are presented as n (%) or mean ± SD unless otherwise indicated. MAS = modified Ashworth Scale; SD = standard deviation.

Measures of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0034 and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0035

Measurements of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0036 classified according to BMRSL are shown in Fig. 1. Measurements were pooled to determine the relations of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0037 to group differences and workloads. Study groups were similar in terms of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0038 and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0039 except for urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0040 The urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0041 was significantly higher (p < 0.001) in the group with higher BMRSL. As displayed in Fig. 2, compared to the group with BMRSL VI (9.3 ± 1.4 mL/kg/min/W), urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0042 decreased in the group with BMRSL III (6.9 ± 3.2 mL/kg/min/W), and slightly decreased in the group with BMRSL IV (8.2 ± 1.6 mL/kg/min/W) and BMRSL V (8.8 ± 2.5 mL/kg/min/W). Although urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0043 showed a trend of increase with increasing BMRSL, the differences were not statistically significant. All patients terminated testing of their own volition. The most common reasons for termination were leg fatigue and drop in pedaling rate (<50 rpm). These patients were closely monitored after test termination. No other symptoms, electrocardiographic abnormalities, or adverse effects were observed during or after these tests.

Details are in the caption following the image

urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0044 categorized by BMRSL III (image), IV (image), V (■), and VI (image) at three levels of cycling workloads: resting, unloaded, and peak. The higher BMRSL group shows higher urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0045 values for peak cycling workload (urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0046). A significant increase of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0047 in BMRSL VI can be observed. BMRSL = Brunnstrom's motor recovery stages lower extremity; urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0048 urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0049 * Significant difference between BMRSL, p < 0.001.

Details are in the caption following the image

Slope of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0050 response urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0051 from the 3rd minute to the 6th minute after loaded cycling, categorized by BMRSL III (■), IV (◆), V (▲), and VI (X). The higher BMRSL group shows relatively steeper urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0052 BMRSL = Brunnstrom's motor recovery stages lower extremity; urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0053 urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0054

Table 3 shows the urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0055 responses classified according to BMRSL in different multivariate adjusted models. The findings were consistent after adjustment for age, sex, BMI, stroke characteristics, history of comorbidities, and medications. urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0056 and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0057 were not significantly different between the study groups. A significantly higher urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0058 was associated with higher BMRSL. In addition, urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0059 increased, but not significantly, with BMRSL. Table 4 shows the trend between oxygen uptake response and BMRSL in different multivariate adjusted logistic multiple regressions. No trends in urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0060 and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0061 were significantly associated with BMRSL. urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0062 and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0063 increased significantly in a linear trend with BMRSL. Furthermore, closer trends of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0064 were found after adjustment for age and sex (models A, B, C, and D), as well as of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0065 after adjustment for age, sex, and BMI (models B, C, and D).

Table 3. Oxygen uptake response in various adjusted models, categorized by Brunnstrom's motor recovery stages lower extremity in various adjusted models.
Modela Brunnstrom's motor recovery stages lower extremity p
III (n = 14) IV (n = 16) V (n = 22) VI (n = 12)
urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0066 (mL/kg/min) A 3.7 ± 0.2 3.8 ± 0.2 4.1 ± 0.1 4.0 ± 0.2 0.2510
B 3.7 ± 0.2 3.9 ± 0.1 4.0 ± 0.1 4.0 ± 0.2 0.4017
C 3.7 ± 0.2 3.9 ± 0.2 4.0 ± 0.1 4.0 ± 0.2 0.6197
D 3.6 ± 0.2 3.8 ± 0.2 4.1 ± 0.1 4.1 ± 0.2 0.2655
urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0067 (mL/kg/min) A 7.6 ± 0.4 7.8 ± 0.3 7.7 ± 0.3 7.8 ± 0.4 0.9553
B 7.6 ± 0.3 7.9 ± 0.3 7.6 ± 0.3 7.8 ± 0.4 0.8478
C 7.3 ± 0.4 8.2 ± 0.4 7.7 ± 0.3 7.6 ± 0.4 0.5109
D 7.2 ± 0.5 7.9 ± 0.4 7.7 ± 0.3 8.0 ± 0.5 0.6637
urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0068 (mL/kg/min) A 10.1 ± 0.9 11.4 ± 0.9 13.3 ± 0.7 16.2 ± 1.0 0.0002*
B 9.8 ± 0.9 11.6 ± 0.8 13.4 ± 0.7 16.2 ± 0.9 <0.0001*
C 9.2 ± 1.0 12.4 ± 0.9 13.3 ± 0.7 16.1 ± 1.1 0.0005*
D 8.8 ± 1.2 11.9 ± 1.0 13.5 ± 0.8 16.8 ± 1.3 0.0024*
urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0069 (mL/kg/min/W) A 7.0 ± 0.7 8.2 ± 0.7 8.8 ± 0.5 9.2 ± 0.7 0.1287
B 6.6 ± 0.7 7.9 ± 0.7 9.1 ± 0.5 9.4 ± 0.7 0.3008
C 6.6 ± 0.9 8.1 ± 0.9 8.8 ± 0.6 9.8 ± 0.9 0.1048
D 6.8 ± 1.0 8.7 ± 1.0 8.3 ± 0.7 9.9 ± 1.1 0.3332
  • Data are presented as mean ± SD unless otherwise indicated. urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0070; urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0071; urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0072 urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0073
  • a Model A: adjusted by age and sex; model B: additionally adjusted for BMI; model C: additionally adjusted for stroke type, hemiparetic side, MAS, and time poststroke; and model D: additionally adjusted for comorbidities and medications. * Significant difference between Brunnstrom's motor recovery stages lower extremity.
Table 4. Relationship between oxygen uptake response and Brunnstrom's motor recovery stages lower extremity in various adjusted models.
Modela R p for trend
urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0074 (mL/kg/min) 0.24 0.0589
A 0.32 0.0635
B 0.57 0.0973
C 0.66 0.2131
D 0.73 0.0705
urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0075 (mL/kg/min) 0.10 0.6429
A 0.22 0.8119
B 0.52 0.8962
C 0.64 0.8814
D 0.73 0.3767
urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0076 (mL/kg/min) 0.49 <0.0001*
A 0.54 <0.0001*
B 0.65 <0.0001*
C 0.76 <0.0001*
D 0.79 0.0002*
urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0077 (mL/kg/min/W) 0.33 0.0130*
A 0.36 0.0201*
B 0.61 0.0042*
C 0.67 0.0128*
D 0.72 0.0169*
  • urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0078; urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0079; urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0080 urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0081
  • a Model A: adjusted by age and sex; model B: additionally adjusted for BMI; model C: additionally adjusted for stroke type, hemiparetic side, MAS, and time poststroke; and model D: additionally adjusted for comorbidities and medications. * Significant difference between Brunnstrom's motor recovery stages lower extremity.

Discussion

The results of this study demonstrated that, in nontrained post-acute stroke patients cycling at 60 rpm, urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0082 is dependent on and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0083 is closely related to the severity of hemiparesis in the legs, regardless of the types and locations of lesion after stroke, as well as of the differences in comorbidities and medications.

Impairments resulting from stroke, such as muscle weakness, pain, spasticity, and poor balance, can result in reduced tolerance to activity and poorer aerobic capacity. With mean urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0084 values of 12.7 mL/kg/min, aerobic capacity is significantly compromised in the post-acute period after stroke [3]. The published urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0085 data for comparison are limited because previous studies involved patients with longer and wider poststroke intervals, and there were differences in the distribution of age and sexes, as well as the equipment used for exercise testing [5], [9], [20]-[24]. Moreover, none of the above-cited studies demonstrated varying degrees of poststroke motor impairments. This increased variation may be due to the study investigating a heterogeneous sample of individuals, with varying degrees of poststroke leg paresis that may affect urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0086 during resting and movement metabolism. Our results showed that urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0087 and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0088 are similar for different severities of hemiparetic leg, and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0089 is 10% lower in the hemiparetic leg with BMRSL V than that with BMRSL VI, 20% lower in BMRSL IV, and 50% lower in BMRSL III. Although urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0090 is related to age, gender, and anthropometric characteristics [25], we found that it is also related closely to stroke-related leg paresis, independent of comorbidities and stroke characteristics. There seemed to be an increased linear interpretation of the relationship between urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0091 and severity of hemiparetic leg, irrespective of the probable biological mediating factors. This seems to show that difference in leg paresis may serve to explain the variation in poststroke aerobic capacity.

The finding of lower aerobic capacity with more severe poststroke leg paresis was, in part, supported by changes in the other indices of urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0092 response. Poststroke patients showed a decrease in urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0093 for a given external work rate urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0094 Although it was nonsignificant, urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0095 decreased with increases in the severity of stroke-related hemiparetic leg. urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0096 reflects the efficiency of the metabolic conversion of chemical potential energy to mechanical work and the mechanical efficiency of the musculoskeletal system. urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0097 decreases, indicating lesser O2 utilization by the muscle cells in relation to the quantity of external work performed, i.e., the muscles were unable to extract the O2 required to perform the exercise [10]. Although urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0098 is independent of sex, age, or height, the less fit individuals present lower urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0099 [25]. A reduction in the value may indicate inadequate O2 transport, as occurs in cases of disease of the heart, lungs, or circulation [26]. Additionally, the urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0100 dependence on stroke-related paresis is consistent with the observed positive trend between urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0101 and the level of leg weakness (Table 4). These findings all suggested that the decrease in gross urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0102 and urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0103 with increasing severity of hemiparesis at a given work rate during cycle ergometer exercise was due to the work performed in moving the legs. It was then mainly explained by a reduction in the number of motor units and a reduced ability to generate force and, consequently, workload in poststroke patients.

This study has several potential limitations. First, our study population was drawn from a single hospital in Kaohsiung, which may limit the generalizability of our findings. Second, results must be interpreted with caution because we used a small sample. These results need to be confirmed by another study with a larger sample. The severity of hemiparesis to impact urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0104 response evaluation after stroke should be tested rigorously in further studies using different progression strategies. The presentation and severity of impairments vary widely in poststroke patients, and, consequently, there is a need to develop more rationale interventions to monitor the levels of aerobic fitness. To take the potential impact of severity of hemiparesis into consideration, it is probable that we are precisely assessing urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0105 response in post-acute stroke patients. In summary, the results of this study demonstrated that post-acute stroke patients may have reduced urn:x-wiley:1607551X:kjm2617:equation:kjm2617-math-0106 response that is significantly related to the severity of hemiparesis in their legs.

Acknowledgments

We thank Dr Yi-Hsin Yang for her assistance in the statistical analysis; the help from the Statistical Analysis Laboratory, Department of Clinical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan is also acknowledged. This study was supported by a grant from the Kaohsiung Medical University Hospital (KMUH100-0M39).

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