Development and validation of the newly developed Preschool Theory of Mind Assessment (ToMA-P).

Introduction: Theory of mind (ToM) refers to the ability to understand and attribute mental states to oneself and others. A ToM measure is warranted for preschool children to assess their ToM development from a multidimensional perspective (i.e., cognitive and affective dimensions). This study aimed to develop the Preschool Theory of Mind Assessment (ToMA-P) and to evaluate its construct validity and applicability. Methods: The ToMA-P was developed based on comprehensive literature review and revised with expert panel feedback. Its psychometric properties were evaluated in 205 typically developing preschoolers with Rasch analysis for its dimensionality, item difficulties, and convergent validity. Results: The results indicated that all ToMA-P items, except for one, fit the hypothesized two-dimensional construct. The item difficulties in the cognitive and affective dimensions followed developmental sequences. The ToMA-P scores exhibited good convergent validity, as evidenced by its significant correlations with age, verbal comprehension, adaptive functions, and daily ToM performance (p < 0.05). Children's responses and behaviors also showed that the ToMA-P has good applicability. Discussion: This study provides empirical evidence that the ToMA-P measures cognitive and affective ToM following developmental sequences, and that it has potential as a clinical tool for assessing ToM in preschool children.

Accumulative Assessment of Upper Extremity.

OBJECTIVE: The Fugl-Meyer assessment for upper extremity (FMA-UE) is a measure for assessing upper extremity motor function in patients with stroke. However, the considerable administration time of the assessment decreases its feasibility. This study aimed to develop an accumulative assessment system of upper extremity motor function (AAS-UE) based on the FMA-UE to improve administrative efficiency while retaining sufficient psychometric properties. METHODS: The study used secondary data from 3 previous studies having FMA-UE datasets, including 2 follow-up studies for subacute stroke individuals and 1 test-retest study for individuals with chronic stroke. The AAS-UE adopted deep learning algorithms to use patients' prior information (ie, the FMA-UE scores in previous assessments, time interval of adjacent assessments, and chronicity of stroke) to select a short and personalized item set for the following assessment items and reproduce their FMA-UE scores. RESULTS: Our data included a total of 682 patients after stroke. The AAS-UE administered 10 different items for each patient. The AAS-UE demonstrated good concurrent validity (r = 0.97-0.99 with the FMA-UE), high test-retest reliability (intra-class correlation coefficient = 0.96), low random measurement error (percentage of minimal detectable change = 15.6%), good group-level responsiveness (standardized response mean = 0.65-1.07), and good individual-level responsiveness (30.5%-53.2% of patients showed significant improvement). These psychometric properties were comparable to those of the FMA-UE. CONCLUSION: The AAS-UE uses an innovative assessment method which makes good use of patients' prior information to achieve administrative efficiency with good psychometric properties. IMPACT: This study demonstrates a new assessment method to improve administrative efficiency while retaining psychometric properties, especially individual-level responsiveness and random measurement error, by making good use of patients' basic information and medical records.

Developing a machine learning-based short form of the positive and negative syndrome scale.

BACKGROUND AND HYPOTHESIS: The Positive and Negative Syndrome Scale (PANSS) consists of 30 items and takes up to 50 minutes to administer and score. Therefore, this study aimed to develop and validate a machine learning-based short form of the PANSS (PANSS-MLSF) that reproduces the PANSS scores. Moreover, the PANSS-MLSF estimated the removed-item scores. STUDY DESIGN: The PANSS-MLSF was developed using an artificial neural network, and the removed-item scores were estimated using the eXtreme Gradient Boosting classifier algorithm. The reliability of the PANSS-MLSF was examined using Cronbach's alpha. The concurrent validity was examined by the association (Pearson's r) between the PANSS-MLSF and the PANSS. The convergent validity was examined by the association (Pearson's r) between the PANSS-MLSF and the Clinical Global Impression-Severity, Mini-Mental State Examination, and Lawton Instrumental Activities of Daily Living Scale. The agreement of the estimated removed-item scores with their original scores was examined using Cohen's kappa. STUDY RESULTS: Our analysis included data from 573 patients with moderate severity. The two versions of the PANSS-MLSF comprised 15 items and 9 items were proposed. The PANSS-MLSF scores were similar to the PANSS scores (mean squared error=2.6-24.4 points). The reliability, concurrent validity, and convergent validity of the PANSS-MLSF were good. Moderate to good agreement between the estimated removed-item scores and the original item scores was found in 60% of the removed items. CONCLUSION: The PANSS-MLSF offers a viable way to reduce PANSS administration time, maintain score comparability, uphold reliability and validity, and even estimate scores for the removed items.

The minimal important difference for the Postural Assessment Scale for Stroke Patients in the subacute stage.

BACKGROUND: The minimal important difference (MID) of the Postural Assessment Scale for Stroke Patients (PASS) remains unknown, limiting the interpretation of change scores. OBJECTIVES: To estimate the MID of the PASS in patients with subacute stroke. METHODS: Data at admission and discharge for 240 participants were retrieved from a longitudinal study. The "mobility" item of the Barthel Index was used as the anchor for indicating the improvement of posture control. Receiver operating characteristic (ROC) method was used to estimate the anchor-based MID of the PASS. RESULTS: The ROC method identified a MID of 3.0 points, with a sensitivity of 81.0 % and a specificity of 75.6 %. CONCLUSION: The MID of the PASS was 3.0 points, indicating that if a patient achieves an improvement of 3.0 or more points on the PASS, they have a clinically important improvement in posture control. Our results can help in interpreting change scores and aid in understanding the clinical values of treatment outcomes.

Prefusion-stabilized SARS-CoV-2 S2-only antigen provides protection against SARS-CoV-2 challenge.

Ever-evolving SARS-CoV-2 variants of concern (VOCs) have diminished the effectiveness of therapeutic antibodies and vaccines. Developing a coronavirus vaccine that offers a greater breadth of protection against current and future VOCs would eliminate the need to reformulate COVID-19 vaccines. Here, we rationally engineer the sequence-conserved S2 subunit of the SARS-CoV-2 spike protein and characterize the resulting S2-only antigens. Structural studies demonstrate that the introduction of interprotomer disulfide bonds can lock S2 in prefusion trimers, although the apex samples a continuum of conformations between open and closed states. Immunization with prefusion-stabilized S2 constructs elicits broadly neutralizing responses against several sarbecoviruses and protects female BALB/c mice from mouse-adapted SARS-CoV-2 lethal challenge and partially protects female BALB/c mice from mouse-adapted SARS-CoV lethal challenge. These engineering and immunogenicity results should inform the development of next-generation pan-coronavirus therapeutics and vaccines.

Validation of the Machine Learning-Based Stroke Impact Scale With a Cross-Cultural Sample.

IMPORTANCE: The machine learning-based Stroke Impact Scale (ML-SIS) is an efficient short-form measure that uses 28 items to provide domain scores comparable to those of the original 59-item Stroke Impact Scale-Third Edition (SIS 3.0). However, its utility is largely unknown because it has not been cross-validated with an independent sample. OBJECTIVE: To examine the ML-SIS's comparability and test-retest reliability with that of the original SIS 3.0 in an independent sample of people with stroke. DESIGN: Comparability was examined with the coefficient of determination (R2), mean absolute error, and root-mean-square error (RMSE). Test-retest reliability was examined using the intraclass correlation coefficient (ICC). SETTING: Five hospitals in Taiwan. PARTICIPANTS: Data of 263 persons with stroke were extracted from a previous study; 144 completed repeated assessments after a 2-wk interval. RESULTS: High R2 (.87-.95) and low mean absolute error or RMSE (about 2.4 and 3.3) of the domain scores, except for the Emotion scores (R2 = .08), supported the comparability of the two measures. Similar ICC values (.39-.87 vs. .46-.87) were found between the two measures, suggesting that the ML-SIS is as reliable as the SIS 3.0. CONCLUSIONS AND RELEVANCE: The ML-SIS provides scores mostly identical to those of the original measure, with similar test-retest reliability, except for the Emotion domain. Thus, it is a promising alternative that can be used to lessen the burden of routine assessments and provide scores comparable to those of the original SIS 3.0. Plain-Language Summary: The machine learning-based Stroke Impact Scale (ML-SIS) is as reliable as the original Stroke Impact Scale-Third Edition, except for the Emotion domain. Thus, the ML-SIS can be used to improve the efficiency of clinical assessments and also relieve the burden on people with stroke who are completing the assessments.

SARS-COV-2 Omicron variants conformationally escape a rare quaternary antibody binding mode.

The ongoing evolution of SARS-CoV-2 into more easily transmissible and infectious variants has provided unprecedented insight into mutations enabling immune escape. Understanding how these mutations affect the dynamics of antibody-antigen interactions is crucial to the development of broadly protective antibodies and vaccines. Here we report the characterization of a potent neutralizing antibody (N3-1) identified from a COVID-19 patient during the first disease wave. Cryogenic electron microscopy revealed a quaternary binding mode that enables direct interactions with all three receptor-binding domains of the spike protein trimer, resulting in extraordinary avidity and potent neutralization of all major variants of concern until the emergence of Omicron. Structure-based rational design of N3-1 mutants improved binding to all Omicron variants but only partially restored neutralization of the conformationally distinct Omicron BA.1. This study provides new insights into immune evasion through changes in spike protein dynamics and highlights considerations for future conformationally biased multivalent vaccine designs.

Consistency between two subjective assessments of activities of daily living: Patient- and occupational therapist-reported judgments.

Purpose: To examine the consistency between patient- and occupational therapist-reported judgments of patients' ability and change in ADL abilities. Materials: Patient- and therapist-reported ADL abilities were assessed using a Visual Analogue Scale, whilst the changes in patients' ADL abilities were reported by patients and therapists using a 15-point Likert-type scale. Methods: Repeated assessments at a 3-week interval were used. 88 inpatients with stroke and 16 occupational therapists were recruited from rehabilitation wards in a medical center. Results: Moderate correlations (rs = .53-.56) were found between the patient- and therapist-reported ADL abilities. The patient-reported scores were significantly lower (ds = .45; ps < .001 at follow-up) than the therapist-reported scores. Only low correlation (r = .33) was found for the change scores. Conclusions: Our findings indicated that there was only a moderate to low correlation between the patients' reports and the therapists' judgments regarding the patients' ADL ability and its change. Because both patients' reports and therapists' judgments affect decisions on rehabilitation, frequent communication may be beneficial for reaching consensus and helpful in managing the interventions.

Using Artificial Intelligence to Identify the Associations of Children's Performance of Coloring, Origami, and Copying Activities With Visual-Motor Integration.

IMPORTANCE: Performance of coloring, origami, and copying activities reflects children's visual-motor integration (VMI), but the levels of association remain unclear. OBJECTIVE: To use artificial intelligence (AI) to investigate associations of performance of coloring, origami, and copying activities with VMI. DESIGN: Cross-sectional study. SETTING: Kindergartens. PARTICIPANTS: A sample of 370 children (182 boys and 188 girls) in the second and third years of kindergarten. OUTCOMES AND MEASURES: Beery-Buktenica Developmental Test of Visual-Motor Integration, 6th Edition (VMI-6). RESULTS: Data for preschool children from an ongoing project were retrieved. AI models were trained to use photographs of activity products to predict total score on the VMI-6. R2 values were used to identify the variance in VMI-6 standardized scores explained by predicted scores from the activities. That is, R2 values reflected associations between activity performance and VMI. The R2 values for the combination of origami and copying were the largest (.390-.577). These R2 values were larger than those for each individual activity (.340-.473) and similar to those for the combination of all three activities (.400-.550). CONCLUSIONS AND RELEVANCE: Because moderate R2 values were found between performance of the three activity products and VMI, the three activities have high potential for use in identifying children's level of VMI or as teaching materials to facilitate the development of children's VMI. Furthermore, combining origami and copying activities is recommended for teachers and clinicians who need to address VMI. What This Article Adds: A combination of origami and copying activities had the strongest associations with children's VMI. Teachers and clinicians can use these two activities when addressing VMI development among preschool children.

Anamnestic humoral correlates of immunity across SARS-CoV-2 variants of concern.

While immune correlates against SARS-CoV-2 are typically defined at peak immunogenicity following vaccination, immunologic responses that expand selectively during the anamnestic response following infection can provide mechanistic and detailed insights into the immune mechanisms of protection. Moreover, whether anamnestic correlates are conserved across variants of concern (VOC), including the Delta and more distant Omicron VOC, remains unclear. To define the anamnestic correlates of immunity, across VOCs, we deeply profiled the humoral immune response in individuals infected with sequence-confirmed Delta or Omicron VOC after completing the vaccination series. While limited acute N-terminal domain and receptor-binding domain (RBD)-specific immune expansion was observed following breakthrough infection, a significant immunodominant expansion of opsonophagocytic Spike-specific antibody responses focused largely on the conserved S2-domain of SARS-CoV-2 was observed. This S2-specific functional humoral response continued to evolve over 2-3 weeks following Delta or Omicron breakthrough, targeting multiple VOCs and common coronaviruses. Strong responses were observed on the fusion peptide (FP) region and the heptad repeat 1 (HR1) region adjacent to the RBD. Notably, the FP is highly conserved across SARS-related coronaviruses and even non-SARS-related betacoronavirus. Taken together, our results point to a critical role of highly conserved, functional S2-specific responses in the anamnestic antibody response to SARS-CoV-2 infection across VOCs. These humoral responses linked to virus clearance can guide next-generation vaccine-boosting approaches to confer broad protection against future SARS-related coronaviruses. IMPORTANCE The Spike protein of SARS-CoV-2 is the primary target of antibody-based recognition. Selective pressures, be it the adaption to human-to-human transmission or evasion of previously acquired immunity, have spurred the emergence of variants of the virus such as the Delta and Omicron lineages. Therefore, understanding how antibody responses are expanded in breakthrough cases of previously vaccinated individuals can provide insights into key correlates of protection against current and future variants. Here, we show that vaccinated individuals who had documented COVID-19 breakthrough showed anamnestic antibody expansions targeting the conserved S2 subdomain of Spike, particularly within the fusion peptide region. These S2-directed antibodies were highly leveraged for non-neutralizing, phagocytic functions and were similarly expanded independent of the variant. We propose that through deep profiling of anamnestic antibody responses in breakthrough cases, we can identify antigen targets susceptible to novel monoclonal antibody therapy or vaccination-boosting strategies.

Test-Retest Reliability and Responsiveness of the Computerized Adaptive Testing System of the Functional Assessment of Stroke.

OBJECTIVE: To examine the test-retest reliability, responsiveness, and clinical utility of the Computerized Adaptive Testing System of the Functional Assessment of Stroke (CAT-FAS) in persons with stroke. DESIGN: Repeated measurements design. SETTING: A department of rehabilitation in a medical center. PARTICIPANTS: 30 persons with chronic stroke (for test-retest reliability) and 65 persons with subacute stroke (for responsiveness) were recruited. To examine the test-retest reliability, the participants received measurements twice at 1-month intervals. To examine the responsiveness, the data were collected at admission and discharge from hospital. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASUREMENT TOOL: CAT-FAS. RESULTS: The intra-class correlation coefficients of the CAT-FAS were ≥0.82, indicating good to excellent test-retest reliability. The Kazis' effect size and standardized response mean of the CAT-FAS were ≥0.96, indicating good group-level responsiveness. For individual-level responsiveness, approximately two-thirds of the participants exceeded the conditional minimal detectable change. On average, the CAT-FAS was completed within 9 items and 3 minutes per administration. CONCLUSIONS: Our results suggest the CAT-FAS is an efficient measurement tool with good to excellent test-retest reliability and responsiveness. In addition, the CAT-FAS can be used routinely in clinical settings to monitor progress of the crucial 4 domains for persons with stroke.

Test-Retest Reliability and Responsiveness of the Computerized Adaptive Test of Social Functioning in Persons With Stroke.

OBJECTIVE: To examine the test-retest reliability, minimal detectable change (MDC), responsiveness, and efficiency of the Computerized Adaptive Test of Social Functioning (Social-CAT) in patients with stroke. DESIGN: Repeated-assessments design. SETTING: A department of rehabilitation of a medical center. PARTICIPANTS: In total, 31 patients with chronic stroke and 65 patients with subacute stroke were recruited. INTERVENTION: Not available. MAIN OUTCOME MEASURE: Social-CAT. RESULTS: The Social-CAT showed acceptable test-retest reliability (intraclass correlation coefficient, 0.80) and small random measurement error (MDC%: 18.0%). However, heteroscedasticity was found (r between the means and the absolute change scores: 0.32), so the MDC% adjusted cut-off score is recommended for determining real improvement. Regarding responsiveness, the Social-CAT showed large differences (Kazis' effect size and standardized mean response: 1.15 and 1.09, respectively) in subacute patients. Regarding efficiency, the Social-CAT required an average of 5 items and less than 2 minutes for completion. CONCLUSIONS: Our findings indicate that the Social-CAT is a reliable and efficient measure with good test-retest reliability, small random measurement error, and good responsiveness. Thus, the Social-CAT is a useful outcome measure for routine monitoring of the changes in social function of patients with stroke.

Identification of a conserved S2 epitope present on spike proteins from all highly pathogenic coronaviruses.

To address the ongoing SARS-CoV-2 pandemic and prepare for future coronavirus outbreaks, understanding the protective potential of epitopes conserved across SARS-CoV-2 variants and coronavirus lineages is essential. We describe a highly conserved, conformational S2 domain epitope present only in the prefusion core of ß-coronaviruses: SARS-CoV-2 S2 apex residues 980-1006 in the flexible hinge. Antibody RAY53 binds the native hinge in MERS-CoV and SARS-CoV-2 spikes on the surface of mammalian cells and mediates antibody-dependent cellular phagocytosis and cytotoxicity against SARS-CoV-2 spike in vitro. Hinge epitope mutations that ablate antibody binding compromise pseudovirus infectivity, but changes elsewhere that affect spike opening dynamics, including those found in Omicron BA.1, occlude the epitope and may evade pre-existing serum antibodies targeting the S2 core. This work defines a third class of S2 antibody while providing insights into the potency and limitations of S2 core epitope targeting.

Development of a 13-item Short Form for Fugl-Meyer Assessment of Upper Extremity Scale Using a Machine Learning Approach.

OBJECTIVE: To develop and validate a short form of the Fugl-Meyer Assessment of Upper Extremity Scale (FMA-UE) using a machine learning approach (FMA-UE-ML). In addition, scores of items not included in the FMA-UE-ML were predicted. DESIGN: Secondary data from a previous study, which assessed individuals post-stroke using the FMA-UE at 4 time points: 5-30 days post-stroke screen, 2-month post-stroke baseline assessment, 6-month post-stroke assessment, and 12-month post-stroke assessment. SETTING: Rehabilitation units in hospitals. PARTICIPANTS: A total of 408 individuals post-stroke (N=408). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The 30-item FMA-UE. RESULTS: We established 29 candidate versions of the FMA-UE-ML with different numbers of items, from 1 to 29, and examined their concurrent validity and responsiveness. We found that the responsiveness of the candidate versions obviously declined when the number of items was less than 13. Thus, the 13-item version was selected as the FMA-UE-ML. The concurrent validity was good (intra-class correlation coefficients ≥0.99). The standardized response means of the FMA-UE-ML and FMA-UE were 0.54-0.88 and 0.52-0.91, respectively. The Pearson's rs between the change scores of the FMA-UE-ML and those of the FMA-UE were 0.96-0.98. The predicted item scores had acceptable to good accuracy (Kappa=0.50-0.92). CONCLUSIONS: The FMA-UE-ML seems a promising short form to improve administrative efficiency while retaining good concurrent validity and responsiveness. In addition, the FAM-UE-ML can provide all item scores of the FMA-UE for users.

Development and validation of the Visual Function Battery for Children with Special Needs.

AIM: To develop and validate the Visual Function Battery for Children with Special Needs (VFB-CSN). METHOD: This was a scale development and validation study with (1) construct and item generation and (2) evaluations of interrater reliability, acceptability, and content, ecological, and convergent validities. RESULTS: Children with special needs were recruited for the reliability (n = 32) and validity (n = 95) investigations. The construct and items were generated based on literature review and an expert panel. We constructed eight categories, namely visual reflex, ocular muscle balance, visual acuity, oculomotor, visual field, contrast sensitivity, colour/form vision, and visual attention. Both functional assessment and standardized tests were adopted. The reliabilities were high for the whole VFB-CSN (intraclass correlation coefficient [ICC] = 0.90, 95% confidence interval [CI] = 0.80-0.90) and good for the oculomotor, contrast sensitivity, and colour/form vision (ICC = 0.80-0.86, 95% CI = 0.50-0.93). Correlations between the VFB-CSN and the Functional Vision Questionnaire were strong and acceptable for the contrast sensitivity, acuity, and colour/form vision (r = 0.79, r = 0.69, r = 0.69, r = 0.70 respectively). The correlation between the VFB-CSN and standardized visual acuity test was acceptable (r = -0.72). INTERPRETATION: The VFB-CSN is a reliable and valid multifaceted battery for children with special needs. Acceptable psychometric properties were also found for the acuity and contrast sensitivity. WHAT THIS PAPER ADDS: The Visual Function Battery for Children with Special Needs (VFB-CSN) can measure several types of visual function. The VFB-CSN also measures varying degrees of visual impairment in children with special needs. The VFB-CSN provides functional assessment and quantitative measurement for children with disability and difficulty in cooperating on standardized tests.

Validation of two short forms of Stroke Impact Scale: unidimensionality and reliability.

PURPOSE: We examined the unidimensionality and Rasch reliability of both Jenkinson's and MacIsaac's eight-item short versions of the Stroke Impact Scale (SF-SIS), a questionnaire for assessing overall health-related quality of life (HRQOL). METHODS: This study was a secondary data analysis in which 263 persons with stroke completed the SIS. The 263 persons, on average, had age of 60 years, mild stroke, and moderate disability of self-care. The unidimensionality of both versions was validated via testing of model fitting and principal component analysis (PCA) of residuals using the Rasch analysis to determine the Rasch reliability and measures. RESULTS: The eight items in both SF-SIS versions met the criteria of infit and outfit MNSQ (<1.4 and >0.6), indicating good data-model fit. The PCA showed that no dominant factors existed in the residuals of the items. The person reliability of Jenkinson's and MacIsaac's SF-SIS versions was 0.80 and 0.79, respectively. The Rasch measures (i.e., person measure in logits) ranged from -1.06 to 1.87 in Jenkinson's SF-SIS and -0.82 to 1.88 in MacIsaac's version. CONCLUSIONS: The unidimensionality of both versions was supported. The Rasch measures of both appear valid for representing overall HRQOL levels. Both versions also showed acceptable reliability for research purposes.Implications for rehabilitationThe unidimensionality was justified for both versions (Jenkinson's and MacIsaac's eight-item short-versions of Stroke Impact Scale).The Rasch scores of both versions appear valid for representing overall health-related quality of life.Both versions showed acceptable reliability for research purposes, but not sufficiently reliable for clinical use.

Test-retest reliabilities and minimal detectable changes of 5 versions of the Alzheimer's Disease Assessment Scale-Cognitive Subscale in people with dementia.

PURPOSE: To compare the test-retest reliability and minimal detectable change (MDC) of the commonly used versions of the Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) (the ADAS-Cog-11 (11 items), ADAS-Cog-3 (three items), ADAS-Cog-5-Subset (five items), ADAS-Cog-6-Subset (six items), and ADAS-Rasch (11 items)) in people with dementia. MATERIALS AND METHODS: A repeated-assessments design (2 weeks apart) was used to examine the ADAS-Cog-11, ADAS-Cog-3, ADAS-Cog-5-Subset, ADAS-Cog-6-Subset, and ADAS-Rasch. Participants with dementia were recruited from one hospital, one elder care center, and two day-care centers using convenience sampling. RESULTS: Fifty-two participants finished the assessments twice in two weeks. All versions showed high intraclass correlation coefficients (ICCs) (0.82-0.96), minimal standardized response means (-0.07 to 0.08) and low to acceptable MDC% (9.2-28.6%). The ADAS-Rasch had the highest ICC (0.96) and the lowest MDC%. The ADAS-Cog-3 had an ICC lower than 0.90 (0.82) and the highest MDC% (28.6%). CONCLUSIONS: The ADAS-Rasch seems to be the most reliable version of the ADAS-Cog for group- and individual-level comparisons. The ADAS-Cog-3 may be a better choice for researchers for group-level comparisons because it requires fewer items to achieve acceptable reliability. The ADAS-Cog-11, ADAS-Cog-5-Subset, ADAS-Cog-6-Subset, and ADAS-Rasch could be considered for clinical usage for individual-level comparisons.Implications for rehabilitationThe ADAS-Rasch is the most reliable version of the ADAS-Cog for group- and individual-level comparisons due to its excellent test-retest reliability, lowest random measurement error and absence of a practice effect.The ADAS-Cog-5-Subset and ADAS-Cog-6-Subset might be good substitutes for the ADAS-Rasch in clinical settings because of their comparable reliability features and superior administration efficiency.

Comparison of responsiveness of the Barthel Index and modified Barthel Index in patients with stroke.

PURPOSE: To compare the group- and individual-level responsiveness of the Barthel Index (BI) and modified BI (MBI) in patients with early subacute stroke. MATERIALS AND METHODS: The BI and MBI scores of 63, 63, and 55 patients were retrieved at 3 time points with a 3-weeks interval. The group-level responsiveness was examined using paired t-test and standardized response mean (SRM). The individual-level responsiveness was examined by the percentage of patients who achieved significant improvement exceeding the corresponding minimal detectable change. RESULTS: At the group level, the MBI showed significantly larger SRMs than did the BI in the 1st-2nd assessment (1.10 vs. 0.81 [95% CI of mean difference = 0.05-0.38]) and the 2nd-3rd assessment (0.94 vs. 0.72 [95% CI of mean difference = 0.04-0.41]). At the individual level, the MBI detected significantly more patients with significant improvement than the BI for the 1st-2nd assessments only (34.9 vs. 25.4% [95% CI of mean differences = 3.2-17.5]). CONCLUSIONS: The MBI has better responsiveness than the BI at both the group and individual levels in the patients with early subacute stroke. The MBI is recommended for clinical and research use as an outcome measure for patients with stroke.IMPLICATIONS FOR REHABILITATIONThe MBI is recommended for clinical and research applications because of its superior ability to detect subtle changes in ADL performance in patients with subacute stroke.The MBI and the BI have equal responsiveness for patients whose magnitude of improvement of ADL is substantial.

Development of a Berg Balance Scale Short-Form Using a Machine Learning Approach in Patients With Stroke.

BACKGROUND AND PURPOSE: The Berg Balance Scale (BBS) is frequently used in routine clinical care and research settings and has good psychometric properties. This study was conducted to develop a short form of the BBS using a machine learning approach (BBS-ML). METHODS: Data of 408 individuals poststroke were extracted from a published database. The initial (ie, 4-, 5-, 6-, 7-, and 8-item) versions were constructed by selecting top-ranked items based on the feature selection algorithm in the artificial neural network model. The final version of the BBS-ML was chosen by selecting the short form that used a smaller number of items to achieve a higher predictive power R2 , a lower 95% limit of agreement (LoA), and an adequate possible scoring point (PSP). An independent sample of 226 persons with stroke was used for external validation. RESULTS: The R2 values for the initial 4-, 5-, 6-, 7-, and 8-item short forms were 0.93, 0.95, 0.97, 0.97, and 0.97, respectively. The 95% LoAs were 14.2, 12.2, 9.7, 9.6, and 8.9, respectively. The PSPs were 25, 35, 34, 35, and 36, respectively. The 6-item version was selected as the final BBS-ML. Preliminary external validation supported its performance in an independent sample of persons with stroke ( R2 = 0.99, LoA = 10.6, PSP = 37). DISCUSSION AND CONCLUSIONS: The BBS-ML seems to be a promising short-form alternative to improve administrative efficiency. Future research is needed to examine the psychometric properties and clinical usage of the 6-item BBS-ML in various settings and samples.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A402 ).