Clinical prediction rule for locomotive syndrome in older adults: A decision tree model.

BACKGROUND: No previous studies have proposed a clinical prediction rule that analyzes the factors related to the severity of locomotive syndrome. This study developed and assessed a clinical prediction rule for the severity of locomotive syndrome in older adults. METHODS: A total of 186 patients were assessed using the locomotive syndrome risk test. Classification and regression tree methodologies were used to develop the clinical prediction rule. This study developed three prediction models based on the severity of the locomotive syndrome, of which Model 3 assessed the most severe condition. The following potential predictive factors were measured and entered into each model; single-leg standing time, grip strength, preferred and maximum walking time, and timed up and go test. RESULTS: The single-leg standing test (≤59.4 or >59.4 s) was the best single discriminator for Model 1. Among those with a single-leg standing time >59.4 s, the next best predictor was grip strength (≤37.8 or >37.8 kg). In Model 2, the single-leg standing test was also the best single discriminator (≤12.6 or >12.6 s). Among those with a single-leg standing time ≤12.6, the next best predictor was TUG (≤7.9 or >7.9 s). Additionally, among those with a single-leg standing time >12.6, the next best predictor was single-leg standing time (≤55.3 or >55.3 s). In Model 3, predictive value in Model 2 was the best single discriminator (0 or 1). Among those with 1, the next best predictor was maximum walking time (≤3.75 or >3.75 s). The area under the receiver operating characteristic curves of Models 1, 2, and 3 were 0.737, 0.763, and 0.704, respectively. CONCLUSIONS: A clinical prediction rule was developed to assess the accuracy of the models. These results can be used to screen older adults for suspected locomotive syndrome.

Kana reading disability and Das-Naglieri Cognitive Assessment System findings in children with attention deficit hyperactivity disorder.

BACKGROUND: Epidemiological and clinical studies suggest that attention deficit hyperactivity disorder (ADHD) and reading disability co-occur more frequently than would be expected by chance. The purposes of this study were to (i) assess the frequency of Japanese syllabary (Kana) reading disability (RD) and (ii) measure the psychometric properties of the Das-Naglieri Cognitive Assessment System (DN-CAS) in a clinic-referred sample of Japanese children with ADHD. METHODS: Twenty children with ADHD aged 8-13 years were evaluated using both Kana reading tasks and the DN-CAS. RESULTS: Seven children (35%) showed excessive reading time in at least two of four Kana reading tasks and were diagnosed as ADHD plus RD. The children with ADHD plus RD took significantly longer to read a single mora, four-syllable words, and short sentences. There was no significant difference in the time it took the children with ADHD plus RD to read four-syllable non-words compared to the children with ADHD only. The children with ADHD plus RD had significantly lower simultaneous-processing scores in the DN-CAS compared to children with ADHD but not RD. CONCLUSION: Children with ADHD should be given Kana reading tasks because RD is highly comorbid with ADHD. DN-CAS is a useful method for evaluating cognitive processing in children with ADHD with or without RD.

Blending effects on adsorption and micellization of different membrane protein solubilizers: a thermodynamic study on three mixed systems of CHAPS with MEGA-8, -9 and -10 in pH 7.2 phosphate buffer solution.

By means of surface tension measurement (Wilhelmy method), micellization and adsorbed film formation were investigated for three combinations of mixed surfactant systems, all of which are used for solubilizing membrane proteins: a typical zwitterionic surfactant, CHAPS (a derivative of cholic acid) with n-alkyl (octyl, nonyl and decyl)-N-glucamides, MEGA-n (n=8, 9, 10). The data based on plotting of surface tension (gamma) versus logarithmic total molarity (or molality) (Ct or Mt) as a function of mole fraction of surfactant 2 (2 corresponds to MEGA-n's) enabled us to determine critical micellization concentration (CMC), minimum surface tension at CMC (gammaCMC), surface excess (Gamma(t)), mean molecular surface area (Am), the minimum Gibbs energy (Gmin(S)) of adsorbed film of both single and mixed surfactant systems and partial molecular area (PMA) in addition to parameters such as pC20 and CMC/C20 being related to synergism accompanied by blending (mixing) in regard to surface activity as well as micelle forming ability. On the basis of the regular solution theory, the relations of compositions of singly dispersed phase (X2), micellar phase (Y2) and adsorbed film (Z2) were estimated, and then the interaction parameters in micelles (omegaR) and in the adsorbed film phase (omegaA) were also calculated. From both the CMC-X2 and CMC-Y2 curves, it was found for all the combinations to show synergistically enhanced ability of mixed micelle formation as well as surface tension reduction. The resultant synergism coming from blending CHAPS with MEGA-n's was discussed in comparison with different combinations of various types of surfactants including membrane proteins solubilizers.