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"Prediction"

Original Articles

Pediatric rehabilitation

Predicting Age of Independent Walking in Preterm Infants: A Longitudinal Study Using Neonatal Characteristics and Motor Development Variables
Noppharath Sangkarit, Weerasak Tapanya, Arunrat Srithawong, Patchareeya Amput, Boonsita Suwannakul
Ann Rehabil Med 2024;48(1):65-74.   Published online February 8, 2024
DOI: https://doi.org/10.5535/arm.230012
Objective
To formulate an equation estimating months to independent walking in moderate to late preterm infants based on neonatal characteristics and gross motor development from 7 months to independent walking.
Methods
Sixty infants born between 32 to 36 weeks were assessed using Alberta Infant Motor Scale (AIMS) for gross motor development. Neonatal characteristics were recorded at 7 months, and caregiver-reported independent walking onset. Pearson correlation analyzed age, AIMS scores, and neonatal factors. Multiple regression developed the prediction equation.
Results
The equation for independent walking onset, which included gestational age (GA) at birth, total AIMS score at 10 months of age (10th AIMS), and birth head circumference (BHC), exhibited a strong correlation (r=0.707) and had a predictive power of 50.0%. The equation is as follows: age onset of independent walking (months)=33.157, -0.296 (GA), -0.132 (10th AIMS), -0.196 (BHC), with an estimation error of 0.631 months.
Conclusion
Neonatal characteristics, such as GA, 10th AIMS, and BHC, are key determinants in estimating the onset of independent walking in moderate to late preterm infants.
  • 6,533 View
  • 69 Download

Brain disorders

Torque Onset Angle of the Knee Extensor as a Predictor of Walking Related Balance in Stroke Patients
Min Kyeong Ma, TaeHwan Cho, Joo Won Lee, Hyun Im Moon
Ann Rehabil Med 2023;47(4):291-299.   Published online August 28, 2023
DOI: https://doi.org/10.5535/arm.23061
Objective
To investigate the relationship between the torque onset angle (TOA) of the isokinetic test for knee extensors in the paretic side and walking related balance in subacute stroke patients.
Methods
We retrospectively reviewed patients with first-ever strokes who have had at least two isokinetic tests within 6 months of onset. 102 patients satisfied the inclusion criteria. The characteristics of walking related balance were measured with the Berg Balance Scale sub-score (sBBS), Timed Up and Go test (TUG), 10-m Walk Test (10MWT) and Functional Independence Measure sub-score (sFIM). The second isokinetic test values of the knee extensor such as peak torque, peak torque to weight ratio, hamstring/quadriceps ratio, TOA, torque stop angle, torque at 30 degrees, and peak torque asymmetry ratio between paretic and non-paretic limb were also taken into account. Pearson’s correlation, simple regression and multiple regression analysis were used to analyze the correlation between TOA and walking related balance.
Results
TOA of the knee extensor of the paretic limb showed significant correlations with BBS, sBBS, TUG, 10MWT, and sFIM according to Pearson’s correlation analysis. TOA also had moderate to good correlations with walking related balance parameters in partial correlation analysis. In multiple regression analysis, TOA of the paretic knee extensor was significantly associated with walking related balance parameters.
Conclusion
This study demonstrated that TOA of the paretic knee extensor is a predictable parameter of walking related balance. Moreover, we suggest that the ability to recruit muscle quickly is important in walking related balance.

Citations

Citations to this article as recorded by  
  • Using HD-EMG to Assess Motor Units in Vastus Lateralis With the Lokomat: A Pilot Study With Young, Elderly and Individuals Post-Stroke
    G. Corvini, M. Lorusso, N. L. Tagliamonte, M. Masciullo, M. Molinari, G. Scivoletto, F. Tamburella, J. C. Moreno
    IEEE Transactions on Medical Robotics and Bionics.2025; 7(4): 1693.     CrossRef
  • 6,483 View
  • 80 Download
  • 1 Web of Science
  • 1 Crossref
Long-Term Outcomes of FIM Motor Items Predicted From Acute Stage NIHSS of Patients With Middle Cerebral Artery Infarct
Jun Saito, Tetsuo Koyama, Kazuhisa Domen
Ann Rehabil Med 2018;42(5):670-681.   Published online October 31, 2018
DOI: https://doi.org/10.5535/arm.2018.42.5.670
Objective
To outline the association between the National Institutes of Health Stroke Scale (NIHSS) in the acute stage and the Functional Independence Measure (FIM) of motor items several months later.
Methods
Seventy-nine infarct cases with middle-cerebral-artery region transferred to long-term rehabilitation facilities were analyzed. Patients were allocated to either the model-development group or the confirmatory group at a 2:1 ratio. Independent variables were based on the NIHSS during the acute care and on demographic factors such as age and modified Rankin Scale (mRS) before onset. Multivariate logistic analyses were performed to predict the independence of each FIM motor item. These models were evaluated in the confirmatory group.
Results
Multivariate logistic analyses in the model-development group (n=53) indicated that at least one NIHSS item was statistically significantly associated with the functional independence of a single FIM motor item. Of the NIHSS items, the affected lower extremity item was the most widely associated with 11 of the FIM motor items, except for eating and shower transfer. The affected upper extremity function was the second widely involved factor associated with 7 of the FIM motor items including eating, grooming, bathing, toileting, bed transfer, toilet transfer, and shower transfer. Age and mRS were also statistically significant contributing factors. The obtained predictive models were assessed in the confirmatory group (n=26); these were successful except for the stairs climb item.
Conclusion
In combination with age and pre-stroke status, the NIHSS items (especially the affected extremity items) may be useful for the prediction of long-term outcome in terms of activities in daily living.

Citations

Citations to this article as recorded by  
  • Classifying Patient Characteristics and Determining a Predictor in Acute Stroke Patients: Application of Latent Class Analysis in Rehabilitation Practice
    Junya Uchida, Moeka Yamada, Hirofumi Nagayama, Kounosuke Tomori, Kohei Ikeda, Keita Yamauchi
    Journal of Clinical Medicine.2025; 14(15): 5466.     CrossRef
  • Longitudinal associations between stroke-related neurologic deficits and course of basic activities of daily living up to six months after stroke
    Ludmilla Ribeiro Batista, Silvia Lanziotti Azevedo da Silva, Janaine Cunha Polese, Aryane Carolina Silva, Luci Fuscaldi Teixeira-Salmela, Christina Danielli Coelho de Morais Faria, Iza Faria-Fortini
    Disability and Rehabilitation.2024; 46(24): 5838.     CrossRef
  • R3-Walk and R6-Walk, Simple Clinical Equations to Accurately Predict Independent Walking at 3 and 6 Months After Stroke: A Prospective, Cohort Study
    Nathália Aparecida Gravito Rodrigues, Silvia Lanziotti Azevedo da Silva, Lucas Rodrigues Nascimento, Jordana de Paula Magalhães, Romeu Vale Sant'Anna, Christina Danielli Coelho de Morais Faria, Iza Faria-Fortini
    Archives of Physical Medicine and Rehabilitation.2024; 105(6): 1116.     CrossRef
  • A Scoping Review of Prognosis Prediction Studies Focusing on Activity and Participation Among Patients with Stroke in Japan
    Ryu Kobayashi, Sho Maruyama, Takuya Hirose, Hiroaki Ishikawa, Norikazu Kobayashi
    Asian Journal of Occupational Therapy.2024; 20(1): 29.     CrossRef
  • Predict Factors that Influence Stroke Recovery and Function Using FIM Score at Discharge in a Tertiary Hospital
    Turki Aljuhani, Shahd Al Subaie, Rakan Alghamdi, Nasser Altwaim, Abdullah Aljabr, Saad Alotaibi  , Ghalib Al-Gamdi, Abrar M. Almutairi
    International Journal of Physical Therapy Research & Practice.2024; 3(6): 264.     CrossRef
  • Early incidence and factors affecting recovery from lateropulsion after acute hemispheric stroke
    Kazuhiro Fukata, Yuji Fujino, Masahide Inoue, Mamiko Inoue, Daisuke Sekine, Hiroshi Miki, Hirofumi Sato, Yohei Kobayashi, Koki Hasegawa, Kazu Amimoto, Shigeru Makita, Hidetoshi Takahashi
    Annals of Physical and Rehabilitation Medicine.2023; 66(4): 101706.     CrossRef
  • Outcome in Stroke Patients is Associated with Age and Fractional Anisotropy in the Cerebral Peduncles : A Multivariate Regression Study
    哲男 小山, 侑紀 内山, 和久 道免
    The Japanese Journal of Rehabilitation Medicine.2023; 60(3): 253.     CrossRef
  • Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence
    Anna K Bonkhoff, Christian Grefkes
    Brain.2022; 145(2): 457.     CrossRef
  • Predictive ability of hand-grip strength and muscle mass on functional prognosis in patients rehabilitating from stroke
    Tatsuya Matsushita, Shinta Nishioka, Anna Yamanouchi, Yuka Okazaki, Kana Oishi, Ryusei Nakashima, Yoshiharu Tokunaga, Shinya Onizuka
    Nutrition.2022; 102: 111724.     CrossRef
  • Factors Influencing Sitting Ability During the Acute Post-Stroke Phase: A Multicenter Prospective Cohort Study in Japan
    Kazuhiro Fukata, Yuji Fujino, Masahide Inoue, Mamiko Inoue, Daisuke Sekine, Misato Tsutsumi, Tetsuya Okihara, Masayuki Mano, Hiroshi Miki, Hirofumi Sato, Yohei Kobayashi, Koki Hasegawa, Yota Kunieda, Shunichi Ishihara, Shigeru Makita, Hidetoshi Takahashi,
    Journal of Stroke and Cerebrovascular Diseases.2021; 30(1): 105449.     CrossRef
  • Outcome prediction in patients with putaminal hemorrhage at admission to a convalescent rehabilitation ward based on hemorrhage volume assessed with computed tomography during acute care
    Toshiki Yasukawa, Tetsuo Koyama, Yuki Uchiyama, Saya Iwasa, Jun Saito, Jun Takahashi, Naoko Kiritani, Kazuhisa Domen
    Journal of Physical Therapy Science.2021; 33(1): 27.     CrossRef
  • [Retracted] Potential Factors for Psychological Symptoms at Three Months in Patients with Young Ischemic Stroke
    Dongjuan Xu, Xi Chu, Kun Wang, Lianyan Wei, Yunyun Xu, Xiaomin Huang, Jinna Li, Lina Xu, Lu Yin, Hong Liu, Xiaolei Liu, Haixia Leng, Qing Xue, Mao Peng, Longbin Jia, Hongxing Wang, Yuzhen Xu
    BioMed Research International.2021;[Epub]     CrossRef
  • Utilization of ADL performance tests to predict expected functional status in patients after stroke
    Yvona Angerova, Pavel Marsalek, Anna Kratochvilova, Irina Chmelova, Tereza Gueye, Jan Briza, Vladimir Rogalewicz
    Kontakt.2021; 23(3): 162.     CrossRef
  • Outcome Prediction for Patients With Ischemic Stroke in Acute Care: New Three-Level Model by Eating and Bladder Functions
    Kensaku Uchida, Yuki Uchiyama, Kazuhisa Domen, Tetsuo Koyama
    Annals of Rehabilitation Medicine.2021; 45(3): 215.     CrossRef
  • ADL Assessment of Neurological Disorders
    Tetsuo Koyama, Kazuhisa Domen
    The Japanese Journal of Rehabilitation Medicine.2021; 58(9): 980.     CrossRef
  • Outcome in Stroke Patients Is Associated with Age and Fractional Anisotropy in the Cerebral Peduncles: A Multivariate Regression Study
    Tetsuo Koyama, Yuki Uchiyama, Kazuhisa Domen
    Progress in Rehabilitation Medicine.2020; 5: n/a.     CrossRef
  • Effects of peripheral nerve stimulation on paralysed upper limb functional recovery in chronic stroke patients undergoing low-frequency repetitive transcranial magnetic stimulation and occupational therapy: A pilot study
    Masanori Maeda, Hitoshi Mutai, Yumi Toya, Yusuke Maekawa, Takatoshi Hitai, Satoshi Katai
    Hong Kong Journal of Occupational Therapy.2020; 33(1): 3.     CrossRef
  • Correlation of Swallowing Function With Bilateral Diaphragmatic Movement in Hemiplegic Stroke Patients
    Ra Yu Yun, Ho Eun Park, Ji Won Hong, Yong Beom Shin, Jin A Yoon
    Annals of Rehabilitation Medicine.2019; 43(2): 156.     CrossRef
  • 9,466 View
  • 135 Download
  • 14 Web of Science
  • 18 Crossref
The Validity of Two Neuromotor Assessments for Predicting Motor Performance at 12 Months in Preterm Infants
You Hong Song, Hyun Jung Chang, Yong Beom Shin, Young Sook Park, Yun Hee Park, Eun Sol Cho
Ann Rehabil Med 2018;42(2):296-304.   Published online April 30, 2018
DOI: https://doi.org/10.5535/arm.2018.42.2.296
Objective

To evaluate the validity of the Test of Infant Motor Performance (TIMP) and general movements (GMs) assessment for predicting Alberta Infant Motor Scale (AIMS) score at 12 months in preterm infants.

Methods

A total of 44 preterm infants who underwent the GMs and TIMP at 1 month and 3 months of corrected age (CA) and whose motor performance was evaluated using AIMS at 12 months CA were included. GMs were judged as abnormal on basis of poor repertoire or cramped-synchronized movements at 1 month CA and abnormal or absent fidgety movement at 3 months CA. TIMP and AIMS scores were categorized as normal (average and low average and >5th percentile, respectively) or abnormal (below average and far below average or <5th percentile, respectively). Correlations between GMs and TIMP scores at 1 month and 3 months CA and the AIMS classification at 12 months CA were examined.

Results

The TIMP score at 3 months CA and GMs at 1 month and 3 months CA were significantly correlated with the motor performance at 12 months CA. However, the TIMP score at 1 month CA did not correlate with the AIMS classification at 12 months CA. For infants with normal GMs at 3 months CA, the TIMP score at 3 months CA correlated significantly with the AIMS classification at 12 months CA.

Conclusion

Our findings suggest that neuromotor assessment using GMs and TIMP could be useful to identify preterm infants who are likely to benefit from intervention.

Citations

Citations to this article as recorded by  
  • Predicting neurodevelopment in very preterm infants using the Test of Infant Motor Performance
    April E. Williamson, Roslyn N. Boyd, Robert S. Ware, Mark D. Chatfield, Judith L. Hough, Paul B. Colditz, Joanne M. George
    Early Human Development.2025; 206: 106271.     CrossRef
  • Turkish Adaptation and Psychometric Properties of the Standardized Infant Neurodevelopmental Assessment Neurological Scale in Turkish At-Risk Infants
    Hasan GERCEK, Nilay COMUK BALCI, Bayram Sonmez UNUVAR, Seda Nur KEMER, Mert DEMIRSOZ, Deniz CAKIR, Gokcen OZ TUNCER, Ayse AKSOY
    Iranian Journal of Pediatrics.2024;[Epub]     CrossRef
  • Motor performance of Indian preterm infants as compared to the US population on the Test of Infant Motor Performance (TIMP)
    Diana Rodrigues, Kirti Joshi, Sayli Rajadhyaksha, Ramesh V. Debur
    Early Human Development.2024; 195: 106056.     CrossRef
  • Hybrid developmental follow-up for preterm infants in Brazil: A feasibility study
    Isabella Saraiva Christovão, Lara de Almeida Rodrigues, Ana Carolina Cabral de Paula Machado, Ana Flávia de Souza Pascoal, Déborah Ebert Fontes, Karoline Tury de Mendonça, Lívia de Castro Magalhães, Ana Cristina Resende Camargos
    Early Human Development.2024; 195: 106069.     CrossRef
  • A Neurologist's Guide to Neonatal Neurodevelopmental Assessments and Preterm Brain Injury
    Darrah N. Haffner, Alexandra Sankovic
    Seminars in Pediatric Neurology.2022; 42: 100974.     CrossRef
  • Functional movement assessment with the Test of Infant Motor Performance
    Suzann K. Campbell
    Journal of Perinatology.2021; 41(10): 2385.     CrossRef
  • The Test of Infant Motor Performance (TIMP) in very low birth weight infants and outcome at two years of age
    Anitha Madayi, Luming Shi, Yanan Zhu, Lourdes Mary Daniel, Asila Alia Noordin, Shelly Anne Marie Sherwood, Victor Samuel Rajadurai, Poh Choo Khoo, Bin Huey Quek, Pratibha Keshav Agarwal
    Journal of Perinatology.2021; 41(10): 2432.     CrossRef
  • The Lacey Assessment of Preterm Infants
    Thanooja Naushad, Meena Natarajan
    Archives of Medicine and Health Sciences.2021; 9(2): 229.     CrossRef
  • Body composition and neuromotor development in the year after NICU discharge in premature infants
    Dan M. Cooper, Gay L. Girolami, Brenda Kepes, Annamarie Stehli, Candice Taylor Lucas, Fadia Haddad, Frank Zalidvar, Nitzan Dror, Irfan Ahmad, Antoine Soliman, Shlomit Radom-Aizik
    Pediatric Research.2020; 88(3): 459.     CrossRef
  • “STEP”, an early developmental screening tool that predicts one-year outcomes
    T. Michael O’Shea
    Journal of Perinatology.2019; 39(2): 153.     CrossRef
  • 10,497 View
  • 202 Download
  • 12 Web of Science
  • 10 Crossref
Prediction of Post-stroke Falls by Quantitative Assessment of Balance
Hyun Haeng Lee, Se Hee Jung
Ann Rehabil Med 2017;41(3):339-346.   Published online June 29, 2017
DOI: https://doi.org/10.5535/arm.2017.41.3.339
Objective

To evaluate characteristics of the postural instability in patients with stroke and to present a prediction model of post-stroke falls.

Methods

Patients with a first-ever stroke who had been evaluated by the Balance Master (BM) at post-stroke 3 months (±1 month) between August 2011 and December 2015 were enrolled. Parameters for the postural instability, such as the weight bearing asymmetry (WBA) and postural sway velocity (PSV), were obtained. The fall events in daily lives were assessed via structured telephone interview with a fall related questionnaire.

Results

A total of 71 patients (45 men; 45 with ischemic stroke) were enrolled in this study. All subjects underwent BM evaluation at 3.03±0.40 months after stroke. The mean WBA was 17.18%±13.10% and mean PSV (measured as °/s) were noted as 0.66±0.37 (eyes-open on firm surface), 0.89±0.75 (eyes-closed on firm surface), 1.45±1.09 (eyes-open on soft surface), and 3.10±1.76 (eyes-closed on soft surface). A prediction model of post-stroke falls was drawn by multiple logistic regression analysis as follows: Risk of post-stroke falls = -2.848 + 1.878 x (PSVECSS) + 0.154 x (age=1 if age≥65; age=0 if age<65).

Conclusion

The weight bearing asymmetry and postural sway were significantly increased in patients with stroke. Older age and impaired postural control increased the risk of post-stroke falls.

Citations

Citations to this article as recorded by  
  • Developmental normative data for the Balance Tracking System modified Clinical Test of Sensory Integration and Balance protocol
    Daniel J. Goble, Kirstie Barnes, Josephine I. Lang, Shweta Kapur, Sophia K. Rosiek, Joshua L. Haworth
    Journal of Experimental Child Psychology.2025; 252: 106146.     CrossRef
  • Dynamic Nomogram for Predicting the Fall Risk of Stroke Patients: An Observational Study
    Yao Wu, Xinjun Jiang, Danxin Wang, Ling Xu, Hai Sun, Bijiao Xie, Shaoying Tan, Yong Chai, Tao Wang
    Clinical Interventions in Aging.2025; Volume 20: 197.     CrossRef
  • Post stroke fall and associated factors among stroke survivors at hospitals in Jimma town, oromia regional state, Southwest Ethiopia, 2025: a cross sectional study
    Yohannes Girma Legese, Foad Akmel, Keiru Abajebal, Dechasa Imiru Wayessa, Sisay Deme, Yazachew Mekonnen, Tesfalem Yitbarek
    BMC Neurology.2025;[Epub]     CrossRef
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    Min Xie, Ruth E. Taylor‐Piliae, Chang Yang, Xinran Peng, Qianqian Yang, Qi Zhang
    International Journal of Older People Nursing.2025;[Epub]     CrossRef
  • Trunk Impairment Scale and Stroke Impact Scale for Clinical Assessment of Patients in the Subacute Stage After Stroke Following Sensory Intervention
    M Gábor, D Bzdúšková, J Kimijanová, Z Hirjaková, H Šingliarová, P Valkovič
    Physiological Research.2025; 74(Suppl 2): S293.     CrossRef
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    Heejun Kim, Jiwon Shin, Yunhwan Kim, Yongseok Lee, Joshua (Sung) H. You
    NeuroRehabilitation.2024; 55(1): 1.     CrossRef
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    Johanna Jonsdottir, Fabiola Giovanna Mestanza Mattos, Alessandro Torchio, Chiara Corrini, Davide Cattaneo
    Frontiers in Neurology.2023;[Epub]     CrossRef
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    Mahdieh Sajedifar, Zahra Fakhari, Soofia Naghdi, Noureddin Nakhostin Ansari, Roshanak Honarpisheh, Amin Nakhostin-Ansari
    Journal of Bodywork and Movement Therapies.2023; 36: 45.     CrossRef
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    Narges Ghamari, Rezvan Ghaderpanah, Seyed Hassan Sadrian, Nahid Fallah
    Health Science Reports.2023;[Epub]     CrossRef
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    Oluwole O. Awosika, Amanda Garver, Colin Drury, Heidi J. Sucharew, Pierce Boyne, Sarah M. Schwab, Emily Wasik, Melinda Earnest, Kari Dunning, Amit Bhattacharya, Pooja Khatri, Brett M. Kissela
    Frontiers in Neurology.2023;[Epub]     CrossRef
  • A Systematic Review of Fall Risk Factors in Stroke Survivors: Towards Improved Assessment Platforms and Protocols
    Masoud Abdollahi, Natalie Whitton, Ramin Zand, Mary Dombovy, Mohamad Parnianpour, Kinda Khalaf, Ehsan Rashedi
    Frontiers in Bioengineering and Biotechnology.2022;[Epub]     CrossRef
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    Megan K. O'Brien, Sung Y. Shin, Rushmin Khazanchi, Michael Fanton, Richard L. Lieber, Roozbeh Ghaffari, John A. Rogers, Arun Jayaraman
    IEEE Journal of Translational Engineering in Health and Medicine.2022; 10: 1.     CrossRef
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    Journal of Clinical Neuroscience.2020; 78: 313.     CrossRef
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    Zsófia Halmi, Trevor W. Stone, Elek Dinya, Judit Málly
    Journal of Stroke and Cerebrovascular Diseases.2020; 29(9): 105038.     CrossRef
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    Deborah A. Jehu, Lloyd L. Chan, Marco Y. C. Pang
    Journal of Neurologic Physical Therapy.2020; 44(4): 233.     CrossRef
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    Daniel J Goble, Harsimran S Baweja
    Physical Therapy.2018; 98(9): 779.     CrossRef
  • 8,970 View
  • 111 Download
  • 22 Web of Science
  • 21 Crossref
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