No abstract

Background and Purpose-Prediction of activities of daily living (ADL) functions at an early stage after a stroke is critical because it enables clinicians to set treatment programs and goals. The objective of this study was to assess the relationship between trunk control at an early stage and comprehensive ADL function (as assessed by combining basic ADL and instrumental ADL [IADL]) in patients at 6 months after stroke. Methods-A total of 169 stroke patients participated in this prospective study. Trunk control was measured with the use of the trunk control items of the Postural Assessment Scale for Stroke Patients (PASS-TC). In addition to the PASS-TC score, age, sex, type of stroke, side of hemiparesis, urinary incontinence, limb paresis (measured by the Fugl-Meyer motor test), balance (measured by the Fugl-Meyer balance test), and basic ADL (measured by the Barthel Index) were also selected as predictor variables. These variables were assessed at 14 days after stroke or earlier. The Barthel Index and Frenchay Activities Index (measuring IADL) were administered at 6 months after stroke. The sum of the standardized Barthel Index and standardized Frenchay Activities Index scores was used to assess comprehensive ADL function. Results-Multivariable stepwise linear regression analysis showed that PASS-TC score, age, Fugl-Meyer motor test score, and Barthel Index score (listed by the order of forward selection) were the strongest predictors of comprehensive ADL function. These results were internally validated with the use of the bootstrap resampling technique. The PASS-TC score alone accounted for 45% of the variance in predicting comprehensive ADL function. Results also indicated that the PASS-TC score had slightly more power in predicting comprehensive ADL function than either the Fugl-Meyer motor test score or Barthel Index score. Conclusions-The findings of this study provide strong evidence of the predictive value of trunk control on comprehensive ADL function in stroke patients. The results imply that early assessment and management of trunk control after stroke should be emphasized.

The 3 functional balance measures are simple, valid, and reliable for examining children with cerebral palsy and are thus suitable for clinical practice.

Our aim in this study was to analyze the footprint measurements of flatfoot in a population of preschool-aged children. Three footprint measurements, the Clarke's angle (CA), Chippaux-Smirak index (CSI), and Staheli arch index (AI), were used for comparison with clinical diagnosis. A total of 2,638 static footprints of children aged from 3 to 6 years were recorded. The clinical diagnosis as a gold standard compared with the results of the CA, CSI, and AI and displayed in a receiver operating characteristic (ROC) curve. In order to illustrate the diagnostic accuracy in clinical settings, their likelihood ratios were calculated given their cutoff points, and their pretest/posttest probabilities were plotted as the Fagan nomogram. The optimal cutoff points for CA, CSI, and AI were 14.04°, 62.70%, and 107.42%, respectively, and all of them showed high sensitivity. The areas under curves were 0.91, 0.95, and 0.92, respectively. The positive predictive values were 0.84, 0.91, and 0.85, and the negative predictive values were 0.82, 0.85, and 0.85, respectively. The positive likelihood ratio values for CA, CSI, and AI were 4.09, 7.52, and 4.61, and the negative likelihood ratio values were 0.18, 0.14, and 0.13, respectively. In conclusion, this study demonstrated that footprint analysis methods are suitable for diagnosing flatfoot in preschool-aged children, and that the most appropriate cutoffs are as follows: CA ≤ 14.04°, CSI > 62.70%, and AI > 107.42%. The CSI had a predictive probability of more than 90% and is recommended in screening for flatfoot in preschool-aged children.