PeakQC: A Software Tool for Omics-Agnostic Automated Quality Control of Mass Spectrometry Data.

Mass spectrometry is broadly employed to study complex molecular mechanisms in various biological and environmental fields, enabling 'omics' research such as proteomics, metabolomics, and lipidomics. As study cohorts grow larger and more complex with dozens to hundreds of samples, the need for robust quality control (QC) measures through automated software tools becomes paramount to ensure the integrity, high quality, and validity of scientific conclusions from downstream analyses and minimize the waste of resources. Since existing QC tools are mostly dedicated to proteomics, automated solutions supporting metabolomics are needed. To address this need, we developed the software PeakQC, a tool for automated QC of MS data that is independent of omics molecular types (i.e., omics-agnostic). It allows automated extraction and inspection of peak metrics of precursor ions (e.g., errors in mass, retention time, arrival time) and supports various instrumentations and acquisition types, from infusion experiments or using liquid chromatography and/or ion mobility spectrometry front-end separations and with/without fragmentation spectra from data-dependent or independent acquisition analyses. Diagnostic plots for fragmentation spectra are also generated. Here, we describe and illustrate PeakQC's functionalities using different representative data sets, demonstrating its utility as a valuable tool for enhancing the quality and reliability of omics mass spectrometry analyses.

Full Native timsTOF PASEF-Enabled Quantitative Proteomics with the i2MassChroQ Software Package.

Ion mobility mass spectrometry has become popular in proteomics lately, in particular because the Bruker timsTOF instruments have found significant adoption in proteomics facilities. The Bruker's implementation of the ion mobility dimension generates massive amounts of mass spectrometric data that require carefully designed software both to extract meaningful information and to perform processing tasks at reasonable speed. In a historical move, the Bruker company decided to harness the skills of the scientific software development community by releasing to the public the timsTOF data file format specification. As a proteomics facility that has been developing Free Open Source Software (FOSS) solutions since decades, we took advantage of this opportunity to implement the very first FOSS proteomics complete solution to natively read the timsTOF data, low-level process them, and explore them in an integrated quantitative proteomics software environment. We dubbed our software i2MassChroQ because it implements a (peptide)identification-(protein)inference-mass-chromatogram-quantification processing workflow. The software benchmarking results reported in this paper show that i2MassChroQ performed better than competing software on two critical characteristics: (1) feature extraction capability and (2) protein quantitative dynamic range. Altogether, i2MassChroQ yielded better quantified protein numbers, both in a technical replicate MS runs setting and in a differential protein abundance analysis setting.

In vitro higher-order oligomeric assembly of the respiratory syncytial virus M2-1 protein with longer RNAs.

The respiratory syncytial virus (RSV) M2-1 protein is a transcriptional antitermination factor crucial for efficiently synthesizing multiple full-length viral mRNAs. During RSV infection, M2-1 exists in a complex with mRNA within cytoplasmic compartments called inclusion body-associated granules (IBAGs). Prior studies showed that M2-1 can bind along the entire length of viral mRNAs instead of just gene-end (GE) sequences, suggesting that M2-1 has more sophisticated RNA recognition and binding characteristics. Here, we analyzed the higher oligomeric complexes formed by M2-1 and RNAs in vitro using size exclusion chromatography (SEC), electrophoretic mobility shift assays (EMSA), negative stain electron microscopy (EM), and mutagenesis. We observed that the minimal RNA length for such higher oligomeric assembly is about 14 nucleotides for polyadenine sequences, and longer RNAs exhibit distinct RNA-induced binding modality to M2-1, leading to enhanced particle formation frequency and particle homogeneity as the local RNA concentration increases. We showed that particular cysteine residues of the M2-1 cysteine-cysteine-cystine-histidine (CCCH) zinc-binding motif are essential for higher oligomeric assembly. Furthermore, complexes assembled with long polyadenine sequences remain unaffected when co-incubated with ribonucleases or a zinc chelation agent. Our study provided new insights into the higher oligomeric assembly of M2-1 with longer RNA.IMPORTANCERespiratory syncytial virus (RSV) causes significant respiratory infections in infants, the elderly, and immunocompromised individuals. The virus forms specialized compartments to produce genetic material, with the M2-1 protein playing a pivotal role. M2-1 acts as an anti-terminator in viral transcription, ensuring the creation of complete viral mRNA and associating with both viral and cellular mRNA. Our research focuses on understanding M2-1's function in viral mRNA synthesis by modeling interactions in a controlled environment. This approach is crucial due to the challenges of studying these compartments in vivo. Reconstructing the system in vitro uncovers structural and biochemical aspects and reveals the potential functions of M2-1 and its homologs in related viruses. Our work may contribute to identifying targets for antiviral inhibitors and advancing RSV infection treatment.

Reconstructing Prospective Intergenerational Educational Mobility in 12 Countries.

In this article, we reconstruct prospective intergenerational educational mobility and explore fertility's role in this process for women born between 1925 and 1950 in 12 European countries. We do so by combining high-quality retrospective data (Generations and Gender Survey) and low-requirement prospective datasets using an inferential method developed and advanced in prior research. Our analysis shows that the negative educational fertility gradient partly compensates for the inequality in prospective mobility rates between lower and higher educated women and is most pronounced in high-inequality contexts. However, fertility's role is small and declining and thus does not account for much of the differences in mobility rates between countries. We also explore the relative importance of sibship size effects in mediating the effect of fertility gradient, finding it negligible. Finally, we explore the correspondence between prospective and retrospective estimates in the reconstruction of prospective mobility rates and suggest why the former, when available, must be preferred.

[Mobility, driving, and functional competence in older people-selected results from the Longitudinal Urban Cohort Ageing Study (LUCAS)]. / Mobilität, Autofahren und funktionale Kompetenz bei älteren Menschen ­ Ausgewählte Ergebnisse einer Längsschnittstudie zur Alterung urbaner Kohorten (LUCAS).

Mobility is crucial for independent living in old age. Older people with reduced physical ability (frailty) begin to limit their personal range of activities to their immediate living environment and ultimately to their immediate home. Diseases of the musculoskeletal system as well as neurological, psychological, cognitive, sensory, and circulatory disorders can limit functional competence (ability to live independently).In the Longitudinal Urban Cohort Ageing Study (LUCAS), from which selected results are reported in this article, participants were categorized into different functional classes (Robust, postRobust, preFrail, Frail) using the LUCAS functional index. The results show that losses in functional competence were associated with impaired mobility and reduced car driving. Impaired mobility led to restricted radius of action.The aim of healthcare in old age is to preserve independence and quality of life as long as possible. Car driving is an important part of older peoples' activities of daily living. Therefore, primary care physicians should address car driving regularly because preventive measures to strengthen functional health also strengthen car driving ability in older persons.

Enhancing Mobility in Oncology: Evidence-Based Practices Across the Care Continuum.

OBJECTIVES: Provide an overview of research-derived insights aimed at elucidating best practices for enhancing mobility in patients with cancer throughout the entirety of the care continuum. Highlighting the value of a multidisciplinary approach involving various healthcare professionals to optimize mobility outcomes for patients with cancer and the benefits of different approaches. METHODS: A literature search was conducted in PubMed/Medline, CINAHL, Scopus, Embase, and on Google Scholar using search terms, mobility, exercise, cancer, nurs*, physical activity, pre-habilitation, rehabilitation, best practices. Systematic reviews, meta-analyses, peer reviewed research studies, exercise, and physical activity recommendations were reviewed to provide a comprehensive overview of strategies aimed at enhancing mobility in patients with cancer. RESULTS: Twenty-nine references were included in this overview of enhancing mobility in patients with cancer across the care continuum. CONCLUSIONS: Evidence-based strategies prioritize enhancing mobility for patients with cancer, aiming to boost physical functioning and overall quality of life. Healthcare providers should consider each patient's unique needs and limitations when implementing these evidence-based approaches, emphasizing a multidisciplinary approach involving oncologists, surgeons, nurses, physical therapists, occupational therapists, and other professionals to ensure comprehensive and personalized care focused on improving mobility. IMPLICATIONS FOR NURSING PRACTICE: Nurses advocate for incorporating exercise into cancer care plans throughout the entire treatment journey, collaborating with healthcare team members to tailor programs to individual patient needs. Working together as an interdisciplinary team, nurses help develop an overall care plan that emphasizes exercise as an important aspect of cancer care, using their expertise to create customized exercise routines to encourage and motivate patients to participate in physical activity.

Mobility Assessment Instruments.

OBJECTIVES: Review commonly used mobility assessment instruments and discuss their use in multidisciplinary research and clinical practice. METHODS: Data sources include peer-reviewed articles sourced in electronic databases (PubMed, CINAHL), government websites, national, and international best practice guidelines to describe frequently used mobility assessment instruments. RESULTS: Numerous clinician-, observer-, patient-reported, and performance outcome instruments and evidence-based implementation program resources exist, though these vary in their intended purpose and setting. Wearable and ambient sensors provide new opportunities to collect passive, objective physical activity data and observe changes in mobility across settings. CONCLUSIONS: Selection among multiple assessment tools requires consideration of the available evidence for use in the desired population, the outcomes of interest, whether use is feasible for the setting, and the strength of validity and reliability data for the tool. IMPLICATIONS FOR NURSING PRACTICE: Nurses, especially in the inpatient setting, are typically in most frequent contact with patients and are well-positioned to assess mobility and ensure that safe, progressive mobility care plans are in place. Development of an organization-wide mobility culture requires a systematic, multidisciplinary approach and long-term commitment.

Revisiting the "Timed Up and Go" test: a 12-s cut-off can predict Hospitalization Associated Functional Decline in older adults.

Early detection of functional decline, a major risk among hospitalized older adults, can facilitate interventions that could significantly reduce it. We aimed to examine the contribution of the Timed Up and Go (TUG) test in predicting Hospitalization Associated Functional Decline (HAFD) among older adults, able to independently ambulate before admission. We used a cross-sectional study design; a total of 310 older adults (age ≥ 65) hospitalized in internal medicine wards between December 2018 and August 2020 were included; exclusion criteria were inability to ambulate, a diagnosis restricting mobility, hospitalization for end-of-life care, or impaired cognition. The Modified Barthel Index was used to assess HAFD; it was administered at admission to evaluate patients' independence in activities of daily living 2 weeks prior hospitalization, and at discharge. The TUG test was performed on admission and to predict significant functional decline (defined by a reduction of three points or more in the Modified Barthel Index), while accounting for demographics, length of hospitalization, comorbidity burden (Charlson's comorbidity index), and cognitive function (ALFI-MMSE). Participants were divided into three groups according to their TUG score-under or over a cut-off score of 12 s, or inability to complete the test. Adjusting for age, comorbidity, cognitive ability, and duration of hospitalization, the group that performed the test in less than 12 s showed no statistically significant change in the Modified Barthel Index, therefore no significant HAFD. The other groups showed a statistically significant decline in function. Risk for significant HAFD is currently underestimated in clinical settings, limited to subjective assessment, and underused in the context of implementing early interventions to prevent HAFD. The TUG may support screening for those at risk of hospitalizing-associated functional decline and could help identify patients suitable for preventative interventions.

How people are exposed to neighborhoods racially different from their own.

In US cities, neighborhoods have long been racially segregated. However, people do not spend all their time in their neighborhoods, and the consequences of residential segregation may be tempered by the contact people have with other racial groups as they traverse the city daily. We examine the extent to which people's regular travel throughout the city is to places "beyond their comfort zone" (BCZ), i.e., to neighborhoods of racial composition different from their own-and why. Based on travel patterns observed in more than 7.2 million devices in the 100 largest US cities, we find that the average trip is to a neighborhood less than half as racially different from the home neighborhood as it could have been given the city. Travel to grocery stores is least likely to be BCZ; travel to gyms and parks, most likely; however, differences are greatest across cities. For the first ~10 km people travel from home, neighborhoods become increasingly more BCZ for every km traveled; beyond that point, whether neighborhoods do so depends strongly on the city. Patterns are substantively similar before and after COVID-19. Our findings suggest that policies encouraging more 15-min travel-that is, to amenities closer to the home-may inadvertently discourage BCZ movement. In addition, promoting use of certain "third places" such as restaurants, bars, and gyms, may help temper the effects of residential segregation, though how much it might do so depends on city-specific conditions.

Study protocol of a randomized controlled trial comparing backward walking to forward walking training on balance in multiple sclerosis: The TRAIN-MS trial.

Balance impairment and accidental falls are a pervasive challenge faced by persons with multiple sclerosis (PwMS), significantly impacting their quality of life. While exercise has proven to be an effective intervention for improving mobility and functioning in PwMS, current exercise approaches predominantly emphasize forward walking (FW) and balance training, with variable improvements in balance and fall rates. Backward walking (BW) has emerged as a promising intervention modality for enhancing mobility and strength outcomes; however, significant gaps remain. Specifically, there is limited knowledge about the efficacy of BW interventions on outcomes such as static, anticipatory, and reactive balance, balance confidence, falls, and cognition. This randomized controlled trial aims to determine the feasibility, acceptability, and impact of 8-weeks of backward walking training (TRAIN-BW) as compared to forward walking training (TRAIN-FW). Ninety individuals with MS with self-reported walking dysfunction or ≥ 2 falls in the past 6 months will be randomized in blocks, stratified by sex and disease severity to either the TRAIN-BW or TRAIN-FW intervention groups. Adherence and retention rates will be used to determine feasibility and the Client Satisfaction Questionnaire will be used to assess acceptability. The primary outcomes will be static, anticipatory, and reactive balance. Secondary outcomes include walking velocity, balance confidence, concern about falling, cognition, physical activity, and fall rates measured prospectively for 6 months after post-testing. Additionally, the extent to which cognitive functioning influences response to intervention will be examined. Backward walking training may be an innovative intervention to address balance impairments and falls in persons with MS.

Total hip arthroplasty with second generation dual mobility system as a treatment for primary coxarthrosis, medium-term results. / Artroplastia total de cadera con sistema de doble movilidad de segunda generación como tratamiento de coxartrosis primaria, resultados a mediano plazo.

INTRODUCTION: Osteoarthritis is a disabling pathology characterized by joint pain and stiffness. A prevalence of coxarthrosis of 7.4% is reported in our country. Total hip joint replacement is indicated in advanced stages, a procedure that is not free of complications, the most frequent being prosthetic dislocation, which can be prevented with dual mobility systems. The following study aims to determine the rate of complications and clinical outcomes in dual mobility systems in primary coxarthrosis. MATERIALS AND METHODS: A retrospective study included 120 cases in 114 patients diagnosed with grade III coxarthrosis, mean age was 62.43 years, with a mean follow-up of 4.5 years. Joint replacement was performed by Hardinge approach. All cases were assessed clinically using the Harris Hip Score (HHS) and radiologically to demonstrate mid-term results. RESULTS: The preoperative value on the HHS scale had a mean of 56.45, postoperative at one month 74.23; 6 months 85.40; 1 year 94.01 and at 5 years 94.84 points, representing a functional improvement of 17.78 postoperative month; 28.95 at 6 months postoperative; 37.56 at one year postoperative and 38.39 points at 5 years postoperative. A complication rate of 3.44%; 0.86% of complications were associated with the prosthetic components. CONCLUSION: The dual mobility system should be considered as a therapeutic option in primary hip joint replacement due to excellent functional results and low complication rates. Evidence level IV. Retrospective observational case series study.

Differentiation of regioisomers of sulfobenzoic acid by traveling-wave ion mobility mass spectrometry.

An ion mobility mass spectrometry (IM-MS) investigation using a Synapt G2 mass spectrometer was conducted to separate anions generated from the three regioisomers of sulfobenzoic acid. The results revealed that the differences in arrival time distributions (ATDs) were inadequate to differentiate the isomers unambiguously. However, the ATD profiles of the product ions, generated by fragmenting the respective mass-selected m/z 201 precursor ions in the Trap region of the three-compartment traveling-wave ion guide of the Synapt G2 mass spectrometer, were distinctly different, enabling definitive differentiation of the isomers. An arrival-time peak for an ion of m/z 157 resulting from the loss of CO2 from the respective precursors was common to all three mobilograms. However, only the profile recorded from the para-isomer exhibited a unique arrival-time peak for an ion of m/z 137, originating from an SO2 loss. Such a peak corresponding to an SO2 loss was absent in the ATD profiles of the ortho- and meta-isomers. Additionally, the mobilogram of the meta-isomer displayed a unique peak at 3.42 ms. Based on its product ion spectrum, this peak was attributed to the bisulfite anion (m/z 81; HSO3-). Previously, this meta-isomer specific m/z 81 ion had been proposed to originate from a two-step process involving the intermediacy of an m/z 157 ion formed by CO2 loss. However, our detailed tandem mass spectrometric experiments suggest that the m/z 81 is not a secondary product but rather an ion that originated from a direct elimination of a benzyne derivative from the m/z 201 precursor ion.

Dependency of fentanyl analogue protomer ratios on solvent conditions as measured by ion mobility-mass spectrometry.

Recently, our group has shown that fentanyl and many of its analogues form prototropic isomers ("protomers") during electrospray ionization. These different protomers can be resolved using ion mobility spectrometry and annotated using mobility-aligned tandem mass spectrometry fragmentation. However, their formation and the extent to which experimental variables contribute to their relative ratio remain poorly understood. In the present study, we systematically investigated the effects of mixtures of common chromatographic solvents (water, methanol, and acetonitrile) and pH on the ratio of previously observed protomers for 23 fentanyl analogues. Interestingly, these ratios (N-piperidine protonation vs. secondary amine/O = protonation) decreased significantly for many analogues (e.g., despropionyl ortho-, meta-, and para-methyl fentanyl), increased significantly for others (e.g., cis-isofentanyl), and remained relatively constant for the others as solvent conditions changed from 100% organic solvent (methanol or acetonitrile) to 100% water. Interestingly, pH also had significant effects on this ratio, causing the change in ratio to switch in many cases. Lastly, increasing conditions to pH ≥ 4.0 also prompted the appearance of new mobility peaks for ortho- and para-methyl acetyl fentanyl, where all previous studies had only showed one single distribution. Because these ratios have promise to be used qualitatively for identification of these (and emerging) fentanyl analogues, understanding how various conditions (i.e., mobile phase selection and/or chromatographic gradient) affect their ratios is critically important to the development of advanced ion mobility and mass spectrometry methodologies to identify fentanyl analogues.

A mathematical model of mobility-related infection and vaccination in an epidemiological case.

In this study, we established a system of differential equations with piecewise constant arguments to explain the impact of epidemiological transmission between different locations. Our main goal is to look into the need for vaccines as well as the necessity of the lockdown period. We proved that keeping social distance was necessary during the pandemic spread to stop transmissions between different locations and that re-vaccinations, including screening tests, were crucial to avoid reinfections. Using the Routh-Hurwitz Criterion, we examined the model's local stability and demonstrated that the system could experience Stationary and Neimark-Sacker bifurcations depending on certain circumstances.

Modeling a SEIVRS dynamic behavior with transportation-related transmissionEstablishing a system of two urban as differential equations with piecewise constant argumentsStability analysis of disease-free and co-existing equilibrium pointsAnalyzing bifurcation types around the disease-free and co-existing equilibrium points.Illustrating numerical scenarios that were applied during the pandemic event.

Content-Aware Human Mobility Pattern Extraction.

Extracting meaningful patterns of human mobility from accumulating trajectories is essential for understanding human behavior. However, previous works identify human mobility patterns based on the spatial co-occurrence of trajectories, which ignores the effect of activity content, leaving challenges in effectively extracting and understanding patterns. To bridge this gap, this study incorporates the activity content of trajectories to extract human mobility patterns, and proposes acontent-aware mobility pattern model. The model first embeds the activity content in distributed continuous vector space by taking point-of-interest as an agent and then extracts representative and interpretable mobility patterns from human trajectory sets using a derived topic model. To investigate the performance of the proposed model, several evaluation metrics are developed, including pattern coherence, pattern similarity, and manual scoring. A real-world case study is conducted, and its experimental results show that the proposed model improves interpretability and helps to understand mobility patterns. This study provides not only a novel solution and several evaluation metrics for human mobility patterns but also a method reference for fusing content semantics of human activities for trajectory analysis and mining.

Optimizing the detection of emerging infections using mobility-based spatial sampling.

Timely and precise detection of emerging infections is imperative for effective outbreak management and disease control. Human mobility significantly influences the spatial transmission dynamics of infectious diseases. Spatial sampling, integrating the spatial structure of the target, holds promise as an approach for testing allocation in detecting infections, and leveraging information on individuals' movement and contact behavior can enhance targeting precision. This study introduces a spatial sampling framework informed by spatiotemporal analysis of human mobility data, aiming to optimize the allocation of testing resources for detecting emerging infections. Mobility patterns, derived from clustering point-of-interest and travel data, are integrated into four spatial sampling approaches at the community level. We evaluate the proposed mobility-based spatial sampling by analyzing both actual and simulated outbreaks, considering scenarios of transmissibility, intervention timing, and population density in cities. Results indicate that leveraging inter-community movement data and initial case locations, the proposed Case Flow Intensity (CFI) and Case Transmission Intensity (CTI)-informed spatial sampling enhances community-level testing efficiency by reducing the number of individuals screened while maintaining a high accuracy rate in infection identification. Furthermore, the prompt application of CFI and CTI within cities is crucial for effective detection, especially in highly contagious infections within densely populated areas. With the widespread use of human mobility data for infectious disease responses, the proposed theoretical framework extends spatiotemporal data analysis of mobility patterns into spatial sampling, providing a cost-effective solution to optimize testing resource deployment for containing emerging infectious diseases.

Entering the Classroom: Do Newcomers Experience More Peer Victimization than Their Established Peers?

Students changing classrooms or schools may face challenges from entering a new peer context without friends and standing out from the crowd as newcomers. Two studies examined whether newcomer status predicts peer victimization at school, exploring several potential moderating factors (e.g., social anxiety, immigrant background and having good friends in the classroom) (Study 1: n = 6,199; Mage=12.53) and whether being victimized as a newcomer varied based on the different reasons for mobility (e.g., parental dissolution, residential move, previous victimization, changing into a more suitable school) (Study 2: n = 58,738). In both studies, newcomers reported higher peer victimization compared to established students. Having good friends in the classroom was found as a protective factor in Study 1, being the only statistically significant moderator. All reasons for mobility, except changing into a more suitable school, predicted slightly higher peer victimization in Study 2, with the highest risk for those changing schools due to previous peer victimization experiences.

ProPept-MT: A Multi-Task Learning Model for Peptide Feature Prediction.

In the realm of quantitative proteomics, data-independent acquisition (DIA) has emerged as a promising approach, offering enhanced reproducibility and quantitative accuracy compared to traditional data-dependent acquisition (DDA) methods. However, the analysis of DIA data is currently hindered by its reliance on project-specific spectral libraries derived from DDA analyses, which not only limits proteome coverage but also proves to be a time-intensive process. To overcome these challenges, we propose ProPept-MT, a novel deep learning-based multi-task prediction model designed to accurately forecast key features such as retention time (RT), ion intensity, and ion mobility (IM). Leveraging advanced techniques such as multi-head attention and BiLSTM for feature extraction, coupled with Nash-MTL for gradient coordination, ProPept-MT demonstrates superior prediction performance. Integrating ion mobility alongside RT, mass-to-charge ratio (m/z), and ion intensity forms 4D proteomics. Then, we outline a comprehensive workflow tailored for 4D DIA proteomics research, integrating the use of 4D in silico libraries predicted by ProPept-MT. Evaluation on a benchmark dataset showcases ProPept-MT's exceptional predictive capabilities, with impressive results including a 99.9% Pearson correlation coefficient (PCC) for RT prediction, a median dot product (DP) of 96.0% for fragment ion intensity prediction, and a 99.3% PCC for IM prediction on the test set. Notably, ProPept-MT manifests efficacy in predicting both unmodified and phosphorylated peptides, underscoring its potential as a valuable tool for constructing high-quality 4D DIA in silico libraries.

Inertial Measurement Unit and Heart Rate Monitoring to Assess Cardiovascular Fitness of Manual Wheelchair Users during the Six-Minute Push Test.

Manual wheelchair users (MWUs) are prone to a sedentary life that can negatively affect their physical and cardiovascular health, making regular assessment important to identify appropriate interventions and lifestyle modifications. One mean of assessing MWUs' physical health is the 6 min push test (6MPT), where the user propels themselves as far as they can in six minutes. However, reliance on observer input introduces subjectivity, while limited quantitative data inhibit comprehensive assessment. Incorporating sensors into the 6MPT can address these limitations. Here, ten MWUs performed the 6MPT with additional sensors: two inertial measurement units (IMUs)-one on the wheelchair and one on the wrist together with a heart rate wristwatch. The conventional measurements of distance and laps were recorded by the observer, and the IMU data were used to calculate laps, distance, speed, and cadence. The results demonstrated that the IMU can provide the metrics of the traditional 6MPT with strong significant correlations between calculated laps and observer lap counts (r = 0.947, p < 0.001) and distances (r = 0.970, p < 0.001). Moreover, heart rate during the final minute was significantly correlated with calculated distance (r = 0.762, p = 0.017). Enhanced 6MPT assessment can provide objective, quantitative, and comprehensive data for clinicians to effectively inform interventions in rehabilitation.