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    Systematic Review

    The effects of high-intensity training on walking speed and endurance in the subacute phase poststroke: a systematic review

    Alejandro Ojeda-Manzano 1*
    Elsy Arlene Pérez-Padilla 1
    Sergio Iván Sanguino-Suárez 2
    Christine Cabelka 3
    Humberto Salgado 4
    Alexandra Borstad 5

    Explor Neuroprot Ther. 2025;5:1004106 DOI: https://doi.org/10.37349/ent.2025.1004106

    Received: March 11, 2025 Accepted: April 29, 2025 Published: May 22, 2025

    Academic Editor: Aurel Popa-Wagner, University of Duisburg-Essen, Germany

    Abstract

    Background:

    High-intensity training (HIT) increases walking speed for individuals with chronic stroke. Several recent studies have examined its application for those in the subacute phase following a stroke. This systematic review examines the application of HIT in the subacute phase following a stroke.

    Methods:

    A systematic search for studies that compared HIT (defined as 60–84% heart rate reserve or 77–93% heart rate maximum) to lower-intensity training, conventional physical therapy, placebo, or no intervention in adults 0–6 months post stroke. Randomized or quasi-randomized controlled trials, cohort studies, and case-controlled studies published in peer-reviewed journals in English were included. The primary outcome of interest was walking speed; the secondary outcome was walking endurance. Two independent evaluators performed literature selection, data extraction, and assessed study quality using the revised Cochrane risk-of-bias tool. Reporting followed PRISMA guidelines.

    Results:

    Of 1,642 studies initially retrieved, 10 studies with a total of 677 participants were included. All experimental groups showed an average positive change in self-selected walking speed (range: 0.20–0.56 m/s). HIT resulted in statistically significant improvements in walking speed versus comparison interventions in 4 studies. Eight studies that measured walking endurance found an average increase of 60 to 197 m following HIT.

    Discussion:

    HIT demonstrated superior outcomes in self-selected walking speed and walking endurance for individuals in the subacute phase post stroke, both immediately following intervention and at follow-up. These findings align with the clinical practice guideline (CPG) for chronic stroke patients. Further randomized clinical trials are needed to strengthen the evidence.

    Keywords

    High-intensity treadmill training, stroke rehabilitation, gait speed, walking distance, aerobic exercise

    Introduction

    Impairments caused by stroke are a severe public health problem with broad social and economic consequences worldwide [1]. Due largely to impaired motor control [2] at one-month poststroke, only 40% of people walk with minimal or no assistance [3]. Even 12 weeks after a stroke, 36% of survivors continue to experience dependence on an assistive device or another person for walking [4]. Therefore, practical and effective methods for recovery of walking stand to improve stroke survivors’ quality of life and have economic implications for communities and society.

    For ambulatory people in the chronic phase poststroke, a clinical practice guideline (CPG) provides strong evidence that moderate to high-intensity training (HIT) achieved by increasing walking speed or the load of work to reach 60–80% of heart rate reserve (HRR) or 70–85% of heart rate maximum (HRmax), or virtual reality walking training at similar intensities, improves walking speed and walking endurance [5]. In addition to walking speed and distance, high-intensity walking training [613] and high-intensity cycle ergometry [1416] improve other walking parameters in the chronic poststroke population.

    Optimizing rehabilitation during the subacute phase, defined as 7 days–6 months [17] poststroke, is desirable due to the unique milieu of enhanced brain plasticity [17]. During this sensitive neuroplastic period, spontaneous and intervention-mediated functional recovery is accelerated [18]. Some suggest that current practice in neurorehabilitation does not adequately capitalize on this plastic period [18]. Leveraging early poststroke plasticity, a few researchers have studied high-intensity interventions in the acute and subacute phases poststroke. However, no systematic review has synthesized the outcomes of HIT methods in which walking was the primary intervention method for people in the subacute phase poststroke.

    This review synthesizes evidence for HIT on the outcomes of walking speed and endurance for people during the subacute phase poststroke. Considering the relevance of critical periods for brain plasticity and their associated impact on neuromotor recovery, it is necessary to analyze the scope of this intervention in the early phase in those patients with control perform HIT. Randomized or quasi-randomized controlled trials or cohort studies that compared HIT to lower intensity training, conventional physical therapy, placebo, or no intervention in the subacute phase poststroke were included.

    We used best practices for the completion of this systematic review [19], including providing a bias-reduced summary of its application to the rehabilitation of walking function for those in the subacute phase of stroke. Additional objectives were to ensure the safety of HIT for this population, advance knowledge translation of the method, and contribute to future practice guidelines and healthcare policy recommendations for this population.

    Materials and methods

    A systematic search for studies that compared HIT to lower-intensity training, conventional physical therapy, placebo, or no intervention in adults 0–6 months post stroke was completed. This systematic review was registered a priori, in PROSPERO (ID: CRD42022315900) and was conducted following PRISMA guidelines [20]. The literature search was performed in Web of Science (WOS), Scopus, and PubMed Central databases between the dates of January 1st, 2010, to March 24th, 2022. Search terms included the following medical subject headings: 1) Population: stroke, acute stroke, subacute stroke, early stroke, very early stroke, cerebrovascular. 2) Intervention: locomotor training, locomotor gait training, HIT, high-intensity interval training (HIIT), high-intensity stepping training, treadmill training, walk training. 3) Comparison: conventional physical therapy, low-intensity or moderate-intensity training. 4) Outcome: gait speed, walking speed. Example code: (stroke OR acute stroke OR subacute stroke OR early stroke OR very early stroke OR cerebrovascular) AND (locomotor training OR locomotor gait training OR HIT OR HIIT OR high-intensity stepping training OR treadmill training OR walk training) AND (gait speed OR walking speed). EndNote software version 21 was used for bibliographic data management. This review relies on existing published research, no new data were generated or analyzed. Data supporting the findings are available in the reviewed articles and in some cases, the supplementary materials.

    Inclusion criteria

    The following inclusion criteria guided study selection: 1) Randomized or quasi-randomized controlled trials, cohort studies, or case-controlled studies published in peer-reviewed journals in English between January 1st, 2010 to March 24th, 2022; 2) study participants were 0–6 months poststroke (acute and subacute phases) with reduced walking function; 3) high-intensity gait training (defined as 60–84% of the reserve HR or 77–93% of the maximum HR) [21] was compared with low-intensity training, conventional physical therapy, placebo or no intervention; 4) outcomes included gait speed in meters per second (m/s).

    Data extraction

    One author screened all titles and abstracts to identify studies that met the inclusion criteria and deleted duplicates. A second author verified this process using the same procedure. One author extracted data elements from the studies, and a second author verified the information. Extracted data included: study design, sample demographics, intervention type and description, self-selected and fastest-safe gait speed (m/s), and 6-minute walk test results, in meters, as a measure of walking endurance.

    Risk of bias assessment

    Two reviewers assessed the methodological quality of each study across all five domains of the revised Cochrane risk-of-bias tool (RoB2) [22]. Disagreements about the ratings were discussed until a consensus was reached for each rating.

    Results

    The study selection process is shown in Figure 1. The initial search yielded 1,642 articles, 674 from PubMed, 69 from Scopus, and 899 from the Web of Science (WOS). After removing duplicates, screening records titles and abstracts, and reviewing reference lists, 117 were assessed for eligibility. After a full-text review, 107 studies failed to meet the inclusion criteria. Finally, ten studies were included for qualitative synthesis. Five studies were randomized-controlled trials, three were pilot studies, one was a retrospective cohort, and one was a quasi-experimental/historical cohort.

    Study selection process for review. WOS: Web of Science; HR: heart rate; HRR: heart rate reserve

    Characteristics of studies and participants

    Studies included in this review were conducted in Australia (n = 1), the Netherlands (n = 1), Norway (n = 1), the United States (n = 5), and Canada (n = 2). Across the studies, there were 677 participants, 64% of whom were male. Most participants (508) were in an experimental group, they ranged from 12 to 257 participants. The average age of the participants was 60 and 61 years in the experimental and control groups, respectively. Across studies, the average age of participants ranged from 52 [23] to 74 years [24]. The mean number of days between stroke and study intervention was 53 ± 26 days. Notably, in two studies [24, 25], the mean number of days before intervention was much lower, 13 days for the experimental group. All the studies were conducted in outpatient settings. All participants had a walking impairment, and only a small number of participants could not walk without assistance. Table 1 summarizes participant characteristics.

    Participants characteristics

    StudyCountrynGroupParticipantsSex (male/female)Age (SD)—yearsMean (SD)—days poststroke at start of intervention
    Outermans et al. 2010 [26]Netherlands43C2117/456 (9)24 (8)
    E2219/357 (9)23 (8)
    MacKay-Lyons et al. 2013 [27]Canada50C2614/1259 (13)23 (4)
    E2415/962 (15)23 (6)
    Holleran et al. 2014 [23]USA12E128/452 (13)96 (54) *
    Leddy et al. 2016 [30]USA24C128/461 (10)89 (40)
    E129/355 (12)108 (57)
    Hornby et al. 2016 [28]USA32C1712/560 (9.2)89 (44)
    E1512/357 (12)114 (56)
    Mahtani et al. 2017 [41]USA36C139/461 (9.3)88 (41)
    E2316/754 (12)106 (57)
    Moore et al. 2020 [24]Norway110C5629/2774 (14)15 (11)
    E5435/1973 (10)13 (10)
    Henderson et al. 2022 [25]USA257E257158/9962 (9.5) **13 (9) **
    Klassen et al. 2020 [29]Canada73C2414/1058 (13)26 (11)
    E4930/1957 (11)28 (10)
    Brauer et al. 2021 [40]Australia40E4027/1368 (13)27 (24)
    Total677C169432/245mean = 60 (11)mean = 53 (26)
    E508
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    C: control group; E: experimental group; SD: standard deviation; (*): converted from months; (**): converted from a range

    Risk-of-bias

    Four studies were classified as good quality and low risk [2629]. Additional results of the risk-of-bias assessment are shown in Figure 2.

    Risk-of-bias assessment results. Outermans et al. 2010 [26]; MacKay-Lyons et al. 2013 [27]; Holleran et al. 2014 [23]; Leddy et al. 2016 [30]; Hornby et al. 2016 [28]; Mahtani et al. 2017 [41]; Moore et al. 2020 [24]; Henderson et al. 2022 [25]; Klassen et al. 2020 [29]; Brauer et al. 2021 [40]

    Adverse events

    The most common adverse events reported were falls (between 6 and 8 falls were reported in 3 different studies) [23, 24, 30]. Cardiovascular function-related events were reported in 3 different studies [23, 28, 29]. Other minor adverse events that were reported included skin breakdown, seizures, and pain. The authors described adverse events to be unrelated to the intervention and found they occurred at similar rates in the control and experimental groups. Thus, HIT did not appear to increase the likelihood of adverse events when compared to conventional or lower-intensity therapies.

    Intervention characteristics

    Across studies, the average HIT intervention duration was 6 weeks, the range was 4–12 weeks. The average number of sessions was 28, the range was 12–40. The average session duration was 45 minutes, the range was 30–60 minutes. In one study, one subgroup, determining optimal poststroke exercise 2 (DOSE2), trained for 120 minutes per session [29]. Some authors reported the number of steps per therapy session; these details and other characteristics of the interventions are found in Table 2.

    Intervention characteristics, comparison condition, and outcomes reported

    StudyIntervention characteristicsComparisonOutcomes
    HR/HRRTimes/weekSessionsTime (minutes)Program
    Outermans et al. 2010 [26]70–80% HRR3124510 stations (2.5 min)Low-intensity10MWT/6MWT
    Mackay-Lyons et al. 2013 [27]60–75% HR3–5486012 weeks. Assisted by 1–2 therapists. 25–30 min on treadmillConventional therapy10MWT/6MWT
    Holleran et al. 2014 [23]70% HRR5366010 weeks. Assisted by 1–5 therapists. Treadmill, overground, and upstairs training with different challenges on task walking. Steps per session: 2,887 ± 780NoneGait speed (GaitMat II)/6MWT
    Leddy et al. 2016 [30]70–80% HRR (73% peak)NR34–4040–6010 weeks. Treadmill, overground, and upstairs training with different challenges on task walking. Steps per session: 2,641 ± 727Conventional therapyGait speed (Walking plataform- Equitest, Inc., Chalfont, PA)/6MWT
    Hornby et al. 2016 [28]70–80% HRR (74% peak)4–53440–6010 weeks. Treadmill, overground, and upstairs training with different challenges on task walking, assisted by 1–5 therapists. Steps per session: 2,358 ± 860Conventional therapyGait speed (GaitMat)/6MWT
    Mahtani et al. 2017 [41]70–80% HRR4–54040–604 weeks. Treadmill, overground, and upstairs training with different challenges on task walking, assisted by 1–5 therapistsConventional therapyGait speed (Motion Analysis Corp., Santa Rosa, California)
    Moore et al. 2020 [24]HR 66% (79% HR peak)NR2145–603 weeks. Two subgroups, self-selected speed (SSS) and fastest speed (FS). Steps per session: 1,866 ± 653Conventional therapy10MWT/6MWT
    Henderson et al. 2022 [25]70–85% HRmaxNR33NR30 days. Treadmill, overground, and upstairs training with different challenges on task walking. Steps per session: 2,641 ± 727None10MWT/6MWT
    Klassen et al. 2020 [29]60% HRR52060–1204 weeks. Two subgroups: DOSE1, 60 minutes per session, and DOSE2; an additional 60 more minutes for training, weight-bearing exercises, straightening, and balance exercises. Steps per session: 2,169 ± 1106Conventional therapy5MWT/6MWT
    Brauer et al. 2021 [40]40–60% HRR324308 weeks. Treadmill training and self-management based on the health action process approach (HAPA), 5–10 minutes per session, 3× a weekNone10MWT/6MWT
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    HR: heart rate; HRR: heart rate reserve; HRmax: heart rate maximum; 10MWT: 10-meter walk test; 6MWT: six-minute walk test; NR: not reported; DOSE: determining optimal poststroke exercise; 5MWT: 5-meter walk test

    Effect on walking speed

    Table 3 presents outcomes on the effect of HIT on gait speed from all 10 studies reviewed here. Seven studies had a comparison group, and 4 compared outcomes between HIT and the comparison group statistically. Six studies included outcomes from one or two follow-up timepoints between 2 and 12 months post-intervention. Also shown are the outcomes of HIT on fastest safe gait speed, which was reported by 3 of the 10 studies reviewed. The minimal clinically important difference (MCID) in self-selected gait speed for people with pathology, 0.10 to 0.20 m/s, is provided for reference [31].

    The effect of HIT on walking speed and walking endurance

    Author (year)GroupConditionGait speed6-minute walk test
    Walking speed pre/post (m/s)Mean difference (m/s)P-valueWalking speed at follow-up (m/s)Walking endurance pre/post (m)Mean difference (m)P-valueWalking endurance at follow-up (m)
    Outermans et al. (2010) [26]CSS1.4 ± 0.5/1.4 ± 0.400.03None401 ± 132/422 ± 128210.02No follow-up
    ESS1.5 ± 0.5/1.7 ± 0.50.2459 ± 146/519 ± 16560
    MacKay-Lyons et al. (2013) [27]CSS0.56 ± 0.19/0.71 ± 0.200.15None6 months = 0.73 ± 0.20
    12 months = 0.74 ± 0.17
    195 ± 78/232 ± 8037None6 months = 239 ± 89
    12 months = 242 ± 81
    ESS0.52 ± 0.21/0.75 ± 0.220.236 months = 0.76 ± 0.19 12months = 0.78 ± 0.22189 ± 82/279 ± 89906 months = 282 ± 99
    12 months = 287 ± 88
    Holleran et al. (2014) [23]ESS0.33 ± 0.27/0.66 ± 0.350.33N/A3 months = 0.65 ± 0.36119 ± 94/263 ± 170144N/A3 months = 260 ± 169
    FS0.47 ± 0.41/1.00 ± 0.670.533 months = 0.95 ± 0.62
    Leddy et al., (2016) [30]CSS0.47 ± 0.28/0.58 ± 0.250.11None2–3 months = 0.63 ± 0.29Not collected
    ESS0.35 ± 0.18/0.76 ± 0.360.392–3 months = 0.78 ± 0.38
    Hornby et al. (2016) [28]CSS0.35 ± 0.24/0.43 ± 0.270.08< 0.052 months = 0.47 ± 0.35131 ± 108/160 ± 11129< 0.052 months = 169 ± 121
    ESS0.32 ± 0.25/0.59 ± 0.370.272 months = 0.65 ± 0.42116 ± 88/232 ± 1491162 months = 227 ± 160
    CFS0.46 ± 0.35/0.57 ± 0.430.11None2 months = 0.60 ± 0.43N/A
    EFS0.48 ± 0.37/0.84 ± 0.600.362 months = 0.85 ± 062
    Mahtani et al. (2017) [41]CSS0.62 ± 0.31/0.75 ± 0.330.13< 0.01NoneNot collected
    ESS0.54 ± 0.32/1.00 ± 0.470.56
    Moore et al. (2020) [24]CSS0.62 ± 0.34/0.79 ± 0.340.17< 0.001None243 ± 138/303 ± 13060< 0.001No follow-up
    ESS0.64 ± 0.33/1.00 ± 0.400.36243 ± 141/378 ± 156135
    CFS0.85 ± 0.49/1.00 ± 0.490.15< 0.001NoneN/A
    EFS0.89 ± 0.49/1.37 ± 0.520.48
    Henderson et al. (2022) [25]E-LoA > 5SS0.08 (0–0.23)/0.63 (0.38–0.95)0.55N/ANone16 (6–44)/213 (117–317)197N/ANo follow-up
    Klassen et al. (2020) [29]CSS0.39 ± 0.22/0.74 ± 0.370.35None6 months = 1.0 ± 0.50
    12 months = 1.07 ± 0.60
    129 ± 77.6/246 ± 1381370.026 months = 328 ± 144
    12 months = 351 ± 180
    E -DOSE1SS0.44 ± 0.25/0.90 ± 0.310.466 months = 1.02 ± 0.24
    12 months = 1.04 ± 0.23
    129 ± 97.3/307 ± 1181786 months = 358 ± 125
    12 months = 401 ± 146
    CSS0.39 ± 0.22/0.74 ± 0.370.35None6 months = 1.0 ± 0.50
    12 months = 1.07 ± 0.60
    129 ± 77.6/246 ± 1381370.036 months = 328 ± 144
    12 months = 351 ± 180
    E-DOSE2SS0.42 ± 0.25/0.97 ± 0.400.556 months = 1.02 ± 0.44
    12 months = 1.11 ± 0.43
    138 ± 95.5/315 ± 1421776 months = 355 ± 149
    12 months = 375 ± 147
    Brauer et al. (2021) [40]ESS0.72 ± 0.29/0.99 ± 0.360.27N/A26 weeks = 1.01 ± 0.33277 ± 142/368 ± 14491N/A26 weeks = 402 ± 141
    Display full size

    C: control group; SS: self-select speed; E: experimental group; None: not reported; N/A: does not apply; FS: fastest speed; LoA: level of assistance; DOSE: determining optimal poststroke exercise. Variability is noted as standard deviation or range

    Effect on walking endurance

    Table 3 also presents outcomes of the 6-minute walk test from the 8 studies in which it was reported. Of the 8 studies, 5 had a comparison group, and 4 compared outcomes between HIT and the comparison group statistically. Five studies included outcomes from one or two follow-up timepoints between 2 and 12 months post-intervention. The clinically significant threshold for change in walking endurance, 50 meters [32], is provided for reference.

    Discussion

    Across ten studies, the effects of HIT on self-selected gait speed were consistently positive, with the mean difference after treatment ranging from 0.2 to 0.56 m/s. There were seven comparisons of HIT to a control condition; in each comparison, HIT resulted in superior self-selected walking speed. Six studies followed up with participants between 2 and 12 months. In 5 of the 6 studies, self-selected walking speed was maintained or had increased at follow-up. This is the first systematic review to synthesize the findings of HIT where the primary method was walking training for people in the subacute phase poststroke.

    Study participants were, on average, 60 years old, and participated in the intervention a mean of 53 days after their event. The HIT intervention was typically about 28 sessions of 45 minutes in 6 weeks. Regarding safety, no studies concluded that HIT was unsafe for participants. Authors described adverse events as unrelated to the intervention and found they occurred at similar rates in the control and experimental groups. Thus, HIT did not appear to increase the likelihood of adverse events when compared to conventional or lower-intensity therapies. It is important to consider that selection bias and participant heterogeneity, if present in the studies reviewed, would contribute to an overestimation of the safety of the intervention.

    The results of this review mirror evidence for the use of HIT in the chronic stroke population. A review published in 2019, HIIT produced significant improvements in gait speed and walking endurance compared to baseline, and the effect of HIIT was superior to moderate intensity exercise for improvements in gait speed, similar for walking endurance [33]. In a systematic review and meta-analysis, also published in 2019 [34], high-intensity exercise resulted in meaningful differences in walking endurance and comfortable gait speed. Because only 14% of the participants in this review were in the subacute phase, the conclusions may not generalize to this population. In 2020, a locomotor CPG presented strong evidence that moderate to high-intensity walking training or virtual reality walking training improves gait speed and walking endurance in the chronic phase poststroke. The locomotor CPG recommended further research with this method for the subacute population [5]. After the locomotor CPG was published, another study [35] also demonstrated a magnitude of improvement with HIIT of 0.15 m/s in gait speed in a chronic stroke population.

    The fastest safe gait speed is a less common outcome in studies of HIT; only three of ten studies reported it. All three reported a positive mean difference in fastest safe gait speed immediately following HIT, the range was 0.36–0.53 m/s.

    Initial improvements in motor control following stroke are thought to be due to spontaneous neural adaptation, a stimulating environment, and the opportunity for training [18]. Among the studies reviewed here, those that start their intervention during the first month (13, 23, 27 and 28 days) poststroke reported benefits in self-selected gait speed and walking endurance, however, they were no higher than those achieved in the studies in which they began their intervention after the third month; 106, 108 and 114 days poststroke. Regarding walking endurance, the studies with the greatest post-intervention difference: 197, 177–178, and 135 m, started treatment with a mean of 13, 28, and 13 days poststroke, respectively. This may be evidence of a synergistic effect of HIT with the early neural adaptation in walking distance outcomes [3639]. The consistent short-term benefits of HIT support its early use in rehabilitation.

    At follow time frames of 6 to 12 months walking endurance changes were minimal and not greater, on average, than the clinically significant threshold for change in walking endurance of 50 meters, the exception of Klassen et al. (2020) [29] who found an increase of 70–94 m at 12 months following the intervention. Additionally, some studies did not collect follow-up data, and some presented this information in a limited time between 2–12 months. Taken together, the evidence in this review is not sufficient to understand the effects of the intervention in the long term.

    This review focused on walking outcomes, however, there is evidence that HIT results in improvements in non-locomotor outcomes as well. In one study, activities of daily living, as measured by the Barthel index, improved, although not statistically significantly, compared to conventional therapy [24]. Significant improvement in functional independence, especially among those who were able to walk without assistance at discharge from inpatient care, has been documented [25]. Quality of life (EQ-5D-5L index score) demonstrated significant improvements that were sustained in the medium term [29]. Improvements in activities and participation in the community [Impact on Participation and Autonomy Questionnaire (IPAC)] were observed, but no significant differences were found between experimental a control groups [40]. The non-locomotor outcomes of HIT could be the subject of a future review.

    Some limitations of this review should be considered. There was considerable heterogeneity in the HIT interventions in the studies reviewed here. For example, the cardiovascular intensity targets ranged from 40% to 80% of HRR, or 60 to 85% HRmax. The dose of HIT also varied across study protocols. While typical sessions lasted 60 minutes, protocols ranged from 12–40 sessions across 3 to 10 weeks. Additionally, the selection of activities, such as overground or treadmill walking or stair climbing, among other modalities, was variable. Heterogeneity in HIT intensity, session duration, and frequency, as well as the time point it was administered during the subacute phase post stroke, should be standardized to improve study quality and future clinical translation. Only studies published in English were included, which may have introduced bias; this reduces the generalizability of findings by excluding relevant evidence. Six of ten studies were categorized as having a high risk of bias in one or more domains of the RoB2 tool. This suggests the need for improvement in study quality.

    In summary, this systematic review provides encouraging evidence that HIT, particularly walking-based HIT, can significantly improve self-selected gait speed and walking endurance in individuals during the subacute phase poststroke. These improvements appear consistent across studies, with sustained benefits observed in the majority of follow-ups. While HIT did not increase the risk of adverse events, limitations such as study heterogeneity, potential selection bias, and high risk of bias in several studies highlight the need for more rigorous and standardized research. Although the evidence aligns with findings from chronic stroke populations and supports early implementation of HIT, the long-term effects and potential benefits on non-locomotor outcomes remain unclear. Future studies should aim to standardize HIT protocols and investigate its broader impact on recovery and quality of life to fully establish its value in subacute stroke rehabilitation.

    Abbreviations

    CPG:

    clinical practice guideline

    DOSE:

    determining optimal poststroke exercise

    HIIT:

    high-intensity interval training

    HIT:

    high-intensity training

    HR:

    heart rate

    HRmax:

    heart rate maximum

    HRR:

    heart rate reserve

    LoA:

    level of assistance

    MCID:

    minimal clinically important difference

    Declarations

    Author contributions

    AOM: Conceptualization, Data Curation, Formal analysis, Methodology, Investigation, Visualization, Project administration, Writing—original draft, Writing—review & editing. AB: Data Curation, Formal analysis, Methodology, Validation, Writing—original draft, Writing—review & editing, Supervision. HS: Formal analysis, Methodology, Supervision, Writing—original draft. CC: Methodology, Validation. SIS and EAP: Data curation, Investigation. All authors read and approved the submitted version.

    Conflicts of interest

    The authors declare that they have no conflicts of interest.

    Ethical approval

    Not applicable.

    Consent to participate

    Not applicable.

    Consent to publication

    Not applicable.

    Availability of data and materials

    The data that support the findings of this study are available from the corresponding author upon reasonable request.

    Funding

    Not applicable.

    Copyright

    © The Author(s) 2025.

    Publisher’s note

    Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.

    References

    Donkor ES. Stroke in the 21st Century: A Snapshot of the Burden, Epidemiology, and Quality of Life. Stroke Res Treat. 2018;2018:3238165. [DOI] [PubMed] [PMC]
    Langhorne P, Bernhardt J, Kwakkel G. Stroke rehabilitation. Lancet. 2011;377:1693702. [DOI] [PubMed]
    Hornby TG, Holleran CL, Leddy AL, Hennessy P, Leech KA, Connolly M, et al. Feasibility of Focused Stepping Practice During Inpatient Rehabilitation Poststroke and Potential Contributions to Mobility Outcomes. Neurorehabil Neural Repair. 2015;29:92332. [DOI] [PubMed]
    Smith MC, Barber PA, Stinear CM. The TWIST Algorithm Predicts Time to Walking Independently After Stroke. Neurorehabil Neural Repair. 2017;31:95564. [DOI] [PubMed]
    Hornby TG, Reisman DS, Ward IG, Scheets PL, Miller A, Haddad D, et al. Clinical Practice Guideline to Improve Locomotor Function Following Chronic Stroke, Incomplete Spinal Cord Injury, and Brain Injury. J Neurol Phys Ther. 2020;44:49100. [DOI] [PubMed]
    Ardestani MM, Kinnaird CR, Henderson CE, Hornby TG. Compensation or Recovery? Altered Kinetics and Neuromuscular Synergies Following High-Intensity Stepping Training Poststroke. Neurorehabil Neural Repair. 2019;33:4758. [DOI] [PubMed]
    Boyne P, Dunning K, Carl D, Gerson M, Khoury J, Rockwell B, et al. High-Intensity Interval Training and Moderate-Intensity Continuous Training in Ambulatory Chronic Stroke: Feasibility Study. Phys Ther. 2016;96:153344. [DOI] [PubMed] [PMC]
    Boyne P, Scholl V, Doren S, Carl D, Billinger SA, Reisman DS, et al. Locomotor training intensity after stroke: Effects of interval type and mode. Top Stroke Rehabil. 2020;27:48393. [DOI] [PubMed] [PMC]
    Boyne P, Billinger SA, Reisman DS, Awosika OO, Buckley S, Burson J, et al. Optimal Intensity and Duration of Walking Rehabilitation in Patients With Chronic Stroke: A Randomized Clinical Trial. JAMA Neurol. 2023;80:34251. [DOI] [PubMed] [PMC]
    Cleland B, Madhavan S. Changes in Walking Speed After High-Intensity Treadmill Training Are Independent of Changes in Spatiotemporal Symmetry After Stroke. Front Neurol. 2021;12:647338. [DOI] [PubMed] [PMC]
    Ivey FM, Stookey AD, Hafer-Macko CE, Ryan AS, Macko RF. Higher Treadmill Training Intensity to Address Functional Aerobic Impairment after Stroke. J Stroke Cerebrovasc Dis. 2015;24:253946. [DOI] [PubMed] [PMC]
    Moore JL, Roth EJ, Killian C, Hornby TG. Locomotor Training Improves Daily Stepping Activity and Gait Efficiency in Individuals Poststroke Who Have Reached a “Plateau” in Recovery. Stroke. 2010;41:12935. [DOI] [PubMed]
    Munari D, Pedrinolla A, Smania N, Picelli A, Gandolfi M, Saltuari L, et al. High-intensity treadmill training improves gait ability, VO2peak and cost of walking in stroke survivors: preliminary results of a pilot randomized controlled trial. Eur J Phys Rehabil Med. 2018;54:40818. [DOI] [PubMed]
    Lee MJ, Kilbreath SL, Singh MF, Zeman B, Lord SR, Raymond J, et al. Comparison of Effect of Aerobic Cycle Training and Progressive Resistance Training on Walking Ability After Stroke: A Randomized Sham Exercise–Controlled Study. J Am Geriatr Soc. 2008;56:97685. [DOI] [PubMed]
    Tang A, Sibley KM, Thomas SG, Bayley MT, Richardson D, McIlroy WE, et al. Effects of an Aerobic Exercise Program on Aerobic Capacity, Spatiotemporal Gait Parameters, and Functional Capacity in Subacute Stroke. Neurorehabil Neural Repair. 2009;23:398406. [DOI] [PubMed]
    Bang DH, Son YL. Effect of intensive aerobic exercise on respiratory capacity and walking ability with chronic stroke patients: a randomized controlled pilot trial. J Phys Ther Sci. 2016;28:23814. [DOI] [PubMed] [PMC]
    Bernhardt J, Hayward KS, Kwakkel G, Ward NS, Wolf SL, Borschmann K, et al. Agreed definitions and a shared vision for new standards in stroke recovery research: The Stroke Recovery and Rehabilitation Roundtable taskforce. Int J Stroke. 2017;12:44450. [DOI] [PubMed]
    Zeiler SR. Should We Care About Early Post-Stroke Rehabilitation? Not Yet, but Soon. Curr Neurol Neurosci Rep. 2019;19:13. [DOI] [PubMed]
    Bramer WM, de Jonge GB, Rethlefsen ML, Mast F, Kleijnen J. A systematic approach to searching: an efficient and complete method to develop literature searches. J Med Libr Assoc. 2018;106:53141. [DOI] [PubMed] [PMC]
    Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. PLoS Med. 2021;18:e1003583. [DOI] [PubMed] [PMC]
    Bayles MP. ACSM’S Exercise Testing and Prescription. 2nd ed. Lippincott Williams & Wilkins; 2023.
    Cumpston M, Li T, Page MJ, Chandler J, Welch VA, Higgins JP, et al. Updated guidance for trusted systematic reviews: a new edition of the Cochrane Handbook for Systematic Reviews of Interventions. Cochrane Database Syst Rev. 2019;10:ED000142. [DOI] [PubMed] [PMC]
    Holleran CL, Straube DD, Kinnaird CR, Leddy AL, Hornby TG. Feasibility and Potential Efficacy of High-Intensity Stepping Training in Variable Contexts in Subacute and Chronic Stroke. Neurorehabil Neural Repair. 2014;28:64351. [DOI] [PubMed] [PMC]
    Moore JL, Nordvik JE, Erichsen A, Rosseland I, Bø E, Hornby TG, et al. Implementation of High-Intensity Stepping Training During Inpatient Stroke Rehabilitation Improves Functional Outcomes. Stroke. 2020;51:56370. [DOI] [PubMed] [PMC]
    Henderson CE, Fahey M, Brazg G, Moore JL, Hornby TG. Predicting Discharge Walking Function With High-Intensity Stepping Training During Inpatient Rehabilitation in Nonambulatory Patients Poststroke. Arch Phys Med Rehabil. 2022;103:S18996. [DOI] [PubMed]
    Outermans JC, van Peppen RP, Wittink H, Takken T, Kwakkel G. Effects of a high-intensity task-oriented training on gait performance early after stroke: a pilot study. Clin Rehabil. 2010;24:97987. [DOI] [PubMed]
    Mackay-Lyons M, McDonald A, Matheson J, Eskes G, Klus MA. Dual Effects of Body-Weight Supported Treadmill Training on Cardiovascular Fitness and Walking Ability Early After Stroke: A Randomized Controlled Trial. Neurorehabil Neural Repair. 2013;27:64453. [DOI] [PubMed]
    Hornby TG, Holleran CL, Hennessy PW, Leddy AL, Connolly M, Camardo J, et al. Variable Intensive Early Walking Poststroke (VIEWS): A Randomized Controlled Trial. Neurorehabil Neural Repair. 2016;30:44050. [DOI] [PubMed]
    Klassen TD, Dukelow SP, Bayley MT, Benavente O, Hill MD, Krassioukov A, et al. Higher Doses Improve Walking Recovery During Stroke Inpatient Rehabilitation. Stroke. 2020;51:263948. [DOI] [PubMed]
    Leddy AL, Connolly M, Holleran CL, Hennessy PW, Woodward J, Arena RA, et al. Alterations in Aerobic Exercise Performance and Gait Economy Following High-Intensity Dynamic Stepping Training in Persons With Subacute Stroke. J Neurol Phys Ther. 2016;40:23948. [DOI] [PubMed] [PMC]
    Bohannon RW, Glenney SS. Minimal clinically important difference for change in comfortable gait speed of adults with pathology: a systematic review. J Eval Clin Pract. 2014;20:295300. [DOI] [PubMed]
    Salvi D, Poffley E, Orchard E, Tarassenko L. The Mobile-Based 6-Minute Walk Test: Usability Study and Algorithm Development and Validation. JMIR Mhealth Uhealth. 2020;8:e13756. [DOI] [PubMed] [PMC]
    Wiener J, McIntyre A, Janssen S, Chow JT, Batey C, Teasell R. Effectiveness of High-Intensity Interval Training for Fitness and Mobility Post Stroke: A Systematic Review. PM R. 2019;11:86878. [DOI] [PubMed]
    Luo L, Zhu S, Shi L, Wang P, Li M, Yuan S. High Intensity Exercise for Walking Competency in Individuals with Stroke: A Systematic Review and Meta-Analysis. J Stroke Cerebrovasc Dis. 2019;28:104414. [DOI] [PubMed]
    Anjos JM, Neto MG, Dos Santos FS, Almeida KO, Bocchi EA, Lima Bitar YS, et al. The impact Of high-intensity interval training On functioning And health-related quality Of life In post-stroke patients: A systematic review With meta-analysis. Clin Rehabil. 2022;36:72639. [DOI] [PubMed]
    Krakauer JW. Motor learning: its relevance to stroke recovery and neurorehabilitation. Curr Opin Neurol. 2006;19:8490. [DOI] [PubMed]
    Lefebvre S, Laloux P, Peeters A, Desfontaines P, Jamart J, Vandermeeren Y. Dual-tDCS enhances online motor skill learning and long-term retention in chronic stroke patients. Front Hum Neurosci. 2013;6:343. [DOI] [PubMed] [PMC]
    Zeiler SR, Krakauer JW. The interaction between training and plasticity in the poststroke brain. Curr Opin Neurol. 2013;26:60916. [DOI] [PubMed] [PMC]
    Winstein C, Lewthwaite R, Blanton SR, Wolf LB, Wishart L. Infusing motor learning research into neurorehabilitation practice: A Historical Perspective With Case Exemplar From the Accelerated Skill Acquisition Program. J Neurol Phys Ther. 2014;38:190200. [DOI] [PubMed] [PMC]
    Brauer SG, Kuys SS, Paratz JD, Ada L. High-intensity treadmill training and self-management for stroke patients undergoing rehabilitation: a feasibility study. Pilot Feasibility Stud. 2021;7:215. [DOI] [PubMed] [PMC]
    Mahtani GB, Kinnaird CR, Connolly M, Holleran CL, Hennessy PW, Woodward J, et al. Altered Sagittal- and Frontal-Plane Kinematics Following High-Intensity Stepping Training Versus Conventional Interventions in Subacute Stroke. Phys Ther. 2017;97:3209. [DOI] [PubMed]
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