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To translate and validate the Identification of Functional Ankle Instability (IdFAI) into French.The IdFAI was translated according to international recommendations. Discriminative power, floor and ceiling effects, construct validity (including confirmatory factorial analysis (CFA)), internal consistency and test-retest reliability were measured. Standard Error of Measurement (SEM) and Smallest Detectable Change (SDC) were also calculated.160 participants were included. The IdFAI-F showed a very good test-retest reliability (ICC = 0.95). The SEM was 1.37 and the MDC was 3.79. The internal consistency was moderate (Cronbach's alpha coefficient = 0.68). The correlation between the IdFAI and the Cumberland Ankle Instability Tool (CAIT) was high (r = -0.75, p 0.001). No floor, nor ceiling effects were observed. The CFA analyses did not confirm the factor structure proposed by the authors of the original English version.The IdFAI-F is a valid and reliable tool to accurately identify and measure chronic ankle instability in research and clinical settings for French-speaking individuals.

Background The health benefits of diets rich in fruits and vegetables (FV) are well established. Recent observational and intervention research suggests that FV consumption may also exert a positive effect on psychological well-being. Objective This study aimed to assess changes in mean Subjective Happiness Scale (SHS) scores in response to consuming DGA recommended types and amounts of vegetables. It was hypothesized that increased vegetable consumption would increase mean SHS scores. Design This study investigated a secondary outcome of a randomized, parallel, non-blinded controlled trial with a 1:1 allocation ratio to a provided vegetable intervention or attention control group. Participants/setting Men and women (n=75) aged 18-65 years, body mass index ≥25 kg/m2, with low habitual vegetable consumption were recruited from Grand Forks, ND, December 2016 to January 2018, for this community-based study. Intervention The vegetable intervention consisted of an 8-week feeding phase during which participants were provided with vegetables in DGA recommended types and amounts. The attention control group was not provided vegetables but completed the same testing schedule as the vegetable intervention group. Main outcome measure Mean SHS scores were assessed before and after the intervention. Statistical analyses Mean SHS scores were analyzed using a 2-way factorial mixed linear model analysis of variance. Results A significant interaction between treatment and visit (P=0.015) revealed greater mean SHS scores at week 8 than at baseline in the vegetable intervention group (+0.23 ± 0.11 (mean difference ± standard error of the difference) but no change in the attention control group (-0.15 ± 0.11). Conclusions Greater mean SHS scores were observed after increasing vegetable consumption to meet DGA recommendations, suggesting that adhering to DGA vegetable guidance may help promote psychological well-being.

The aim of this study was to develop near infrared spectroscopy (NIRS) calibrations to predict quality parameters, dry matter (DM, g kg−1) and crude protein (CP, g kg−1 DM), in fresh un-dried grass. Knowledge of these parameters would enable more precise allocation of quality herbage to grazing livestock. Perennial ryegrass samples (n = 1 615) were collected over the 2017 and 2018 grazing seasons at Teagasc Moorepark to develop a NIRS calibration dataset. Additional samples were collected for an independent validation dataset (n = 197) during the 2019 grazing season. Samples were scanned using a FOSS 6500 spectrometer at 2 nm intervals in the range of 1 100 ~ 2 500 nm and absorption was recorded as log 1/Reflectance. Reference wet chemistry analysis was carried out for both parameters and the resultant data were calibrated against spectral data by means of modified partial least squares regression. A range of mathematical spectral treatments were examined for each calibration, which were ranked in order of standard error of prediction (SEP) and ratio of percent deviation (RPD). Best performing calibrations achieved high predictive precision for DM (R2 = 0.86 SEP = 9.46 g kg−1, RPD = 2.60) and moderate precision for CP (R2 = 0.84 SEP = 20.38 g kg−1 DM, RPD = 2.37). These calibrations will aid the optimisation of grassland management and the development of precision agricultural technologies.

PURPOSE To evaluate the quality, reliability, and popularity of videos relating to glaucoma on YouTube. DESIGN Retrospective, cross-sectional study of YouTube videos about glaucoma. PARTICIPANTS One hundred YouTube videos were analyzed for this study. METHODS An online YouTube search for glaucoma videos was conducted simulating a user search using the keywords glaucoma, high eye pressure, and high intraocular pressure. The first 100 videos were analyzed, and each video was evaluated by 2 independent reviewers using the modified DISCERN (scale, 1-5), Journal of the American Medical Association (JAMA; scale, 0-4), and Global Quality (GQ; scale, 1-5) criteria to assess quality and reliability. Videos were categorized further into 3 groups depending on the source of their upload. Group 1 comprised videos uploaded by academic or government institutions, group 2 comprised videos uploaded by private medical practices, and group 3 comprised videos uploaded by independent users. MAIN OUTCOME MEASURES Modified DISCERN, JAMA, and GQ scores for quality and reliability of information and video power index (VPI) for video popularity. RESULTS No substantial difference in scoring was observed between the 2 independent reviewers. The overall mean ± standard error (SE) scores were modified DISCERN score, 3.81 ± 0.06; JAMA score, 2.93 ± 0.07; and GQ score, 3.98 ± 0.06. The overall mean ± SE VPI score was 9.9 ± 2.9. Significant positive correlations were found between video popularity and quality of information for all 3 criteria (P < 0.05). The videos in groups 1 and 2 showed higher modified DISCERN scores than those in group 3, but did not score higher with either the JAMA or GQ criteria. Videos in group 3 were the most popular when compared with videos in groups 1 or 2 (P < 0.01). CONCLUSIONS Overall, many of the videos had adequate quality and reliability scores. No difference was found among groups 1 through 3 for 2 of the 3 criteria used, suggesting a similar quality of information provided among academic, private, and independent sources.

Objective To compare the outcomes of heparin bonded expanded polytetrafluoroethylene (HePTFE) and autologous saphenous vein (ASV) in patients undergoing below-knee (BK) femoro-popliteal bypass for critical limb ischemia (CLI). Design Retrospective single-centre matched case–control study. Methods From 2003 to 2019, 275 consecutive BK bypasses for CLI were performed, 109 with the ASV and 166 with a HePTFE graft. All the baseline characteristics that were reliably measured and were potentially relevant in the decision-making process were included as confounders in a logistic regression model and the factors that were significantly different between the two groups then used to perform a propensity matching analysis. Propensity score-based matching was performed in a 1:1 ratio to compare outcomes. Arterial hypertension, hyperlipemia, the need for tibial anastomosis at the distal level and the run-off status were the covariates included in the matching. Follow-up outcomes were estimated by Kaplan–Meier methods and compared with log rank test. Results After propensity matching, 101 HePTFE bypasses were matched with 101 ASV bypasses. The median duration of follow-up was 37 months (range 1–192). The 5-year survival rate was 67.5% (standard error (SE) 0.05) in the HePTFe group and 64.5% (SE 0.06) in the ASV group (p = 0.8, log rank 0.04). Primary patency rates were 38% (SE 0.06) in the HePTFE group and 41% (SE 0.06) in the ASV group (p = 0.7, log rank 0.3). Also assisted primary patency and secondary patency rates did not differ in the two groups. Amputation-free survival was 53% (SE 0.05) in the HePTFE group and 58% (SE 0.06) in the ASF group (p = 0.6, log rank 0.2). Conclusions HePTFE provided 5-year similar results to those obtained with use of the ASV in equivalent patients with CLI undergoing below-knee or tibial bypass.

Objective To evaluate the reliability, standard error of measurement, minimum detectable change, and item-level consistency of the Transfer Assessment Instrument (TAI) version 4.0 when used to evaluate transfer quality remotely. Design Participants transferred from their wheelchair to a mat table (transfer 1), repeated this after a 10-minute delay to assess intrarater reliability (transfer 2), and repeated this 1-2 days later to assess test-retest reliability (transfer 3). Each transfer was scored in person by 4 raters and asynchronously by a remote clinician rater. Setting 2017 National Veterans Wheelchair Games. Participants Convenience sample of 44 full-time wheelchair users (N=44). Interventions Not applicable. Main Outcome Measures TAI total score, subscores (wheelchair setup, body setup, flight/landing), and item scores (15 items). Results Moderate to excellent reliability was found when scoring remotely for TAI total and subscores for intrarater (intraclass correlation coefficient (ICC(3,1)=0.687-0.854), test-retest (ICC(3,1)=0.695-0.836), and interrater reliability (ICC(3,5)=0.746-0.962). Remote rater total score and flight/landing subscore were greater (indicating higher transfer quality) compared to the average in-person raters (P=.021 and P=.005, respectively). There were no differences between transfers 1-3 in remote rater scores. Item-level percentage agreement between the remote rater and in-person exceeded the 75% cutoff for clinical utility for all items. Conclusions The TAI is a reliable outcome measure for assessing transfer technique remotely.

The aim of this study was to investigate the effects of some environmental factors like calving year, season, buffalo cow age and village on some milk yield traits of Anatolian buffaloes, such as daily milk yield for lactation length (MYLL), total lactation milk yield (TLMY), lactation length (LL), and daily milk yield for calving interval (MYCI). 1838 milk yield records obtained from 851 Anatolian buffaloes reared under different environmental conditions from 2015 through 2019 within the scope of the Bartın Anatolian Buffalo Breeding Project were assessed. The least square means and standard errors for MYLL, TLMY, LL, and MYCI were 4.07  0.02 kg, 1078.6  7.54 kg, 263.83  1.16 days, and 2.75  0.03 kg, respectively. As a result of the study, the effects of village, calving year and age (P

The key statistical properties of the Root Mean Square Error (RMSE) and the Mean Absolute Error (MAE) estimators were derived in this study for zero mean symmetric error distributions. A density function, named the Approximate Root Normal Distribution (ARND), was developed to approximate the distribution of a square root of a normal random variable. This enabled approximating the distribution of the RMSE estimator. The theoretical derivations and the demonstrations on common distributions, a benchmark time series, and a real world data set (with prediction errors generated from ANN and ARIMA models) lead to the following practically useful findings. When comparing errors having the same distribution type, RMSE was shown to be preferred for platykurtic distributions, MAE for leptokurtic distributions, and either RMSE or MAE for mesokurtic distributions. For different distribution types, however, using the two estimators alone was shown to lead to erroneous conclusions. The revelation that the estimated RMSE/MSE ratio could identify whether the errors came from platykurtic/mesokurtic/leptokurtic distributions was a useful complementary result. Comparison of errors based on, error distributions, sample size and the standard errors of the estimators, was discussed. The proposed procedure for deriving the statistical properties of the two estimators has scope for extension for other distribution types.

Based on the Upper Echelon Theory, this paper examined the relationship of CEO education and experience with the dynamic capital structure (DCS) using the target leverage and speed of adjustment (SOA) models. This study applied the system generalised method of moments (SYS-GMM) to the target leverage model and Ordinary Least Squares bootstrapped standard errors to the speed of adjustment model. Using the 100 Indonesian firms, two notable findings were obtained. First, the target leverage model with the inclusion of CEO characteristics yielded a 22% of the SOA towards target leverage. Both variables showed a positive relationship with the target leverage. Second, the result revealed that the improvement of CEO education and experience by one standard deviation led to an increase in the SOA by 3.37% and 0.17%. Thus, the results were consistent with the theory whereby the education and experience of the CEOs were potential determinants the DCS.

Background The detection of islet autoantibodies is essential for the accurate classification and diagnosis of diabetes mellitus (DM). The islet autoantibody distribution varies by age. However, screening strategies for DM patients with different onset ages remain lacking. Methods This cross-sectional study included 17 536 DM patients from 46 medical centers across China. The seroprevalence of glutamic acid decarboxylase autoantibody (GADA), insulinoma-associated-2 autoantibody (IA-2A), zinc transporter 8 autoantibody (ZnT8A) and insulin autoantibody (IAA) was determined in younger and older patients with type 1 DM (T1DM) (n=287 and 285, respectively), younger and older patients with latent autoimmune diabetes (LAD) (n=140 and 121, respectively), and younger and older patients with type 2 DM (T2DM) (n=200 in each group). Results The cutoff age between younger and older patients was 35 years using restricted cubic spline method (n = 17 536, adjusted R2 = 0.97, residual standard error = 1.32; P < 0.001). The seroprevalence rates of four islet autoantibodies were higher in patients aged 15-35 years than in those ≥ 35 years (GADA: 17% vs. 5.6%, IA-2A: 8.5% vs. 1.3%, ZnT8A: 6.3% vs. 2.3%, IAA: 2.2% vs. 1.0%). The prevalence of ZnT8A was higher in LAD patients than in T1DM patients, especially in older LAD patients. The results indicated that ZnT8A detection can increase the detection rate of older LAD patients from 70.2% (based on GADA detection alone) to 91.7%. Conclusions In patients stratified according to the cutoff age of 35 years, the optimal detection sequence should be GADA, IA-2A, and ZnT8A in younger patients and GADA, ZnT8A, and IA-2A in older patients, so as to reduce the screening cost while improving the detection rate. Particularly, the ZnT8A test is recommended in older patients to avoid a missed LAD diagnosis.

Background Facial involvement of vitiligo is an important factor in patient’s life and has often been evaluated separately from body surface area in clinical trials. However, no reliable measurement tools to measure facial vitiligo specifically are available thus far. Objective To develop and validate a practical instrument for assessing facial vitiligo Methods The ratios of a hand to a fingertip unit (FTU) of 98 healthy volunteers (age range: 2-69 years) were calculated to define the FTU. Facial Vitiligo Area Scoring Index (F–VASI) was measured as the sum of all FTUs of each vitiligo lesion on the face (range: 0-112 FTU). In the validation study, 6 raters evaluated 11 patients with facial vitiligo twice at an interval of 2 weeks. Results One hand was measured at 32.1±1.3 FTU, and it was highly consistent among subjects across different age groups, genders, and races. F−VASI showed remarkably high accuracy (concordance correlation coefficient: 0.946, smallest detectable change: 2.2 FTU) as well as high intra-rater reliability (intraclass correlation coefficient: 0.903) and inter-rater reliability (0.903). Limitations Lack of dynamic validation of responsiveness Conclusion F−VASI using the FTU is an intuitive, precise, and reliable instrument for assessing the extent of facial involvement in vitiligo patients.

PURPOSE To compare Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) with traditional ("legacy") patient-reported outcome measures (PROMs) in regard to correlations, ease of use, and quality criteria for upper (UE) and lower extremity (LE) orthopaedic conditions. METHODS A systematic search of the PubMed/MEDLINE database was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify published articles that referenced the various PROMIS PF measures. Two authors independently reviewed selected studies. The search returned 857 studies, 85 of which were selected for independent review by 2 authors. Of these, 54 were selected for inclusion. Mixed linear models were performed to assess for differences between legacy PROMs and PROMIS measures. RESULTS The combined sample size of all included studies yielded 6,074 UE and 9,366 LE patients. Overall, PROMIS PF measures demonstrated strong correlations with legacy PROMs among UE (weighted Pearson correlation, 0.624, standard error [SE] = 0.042; weighted Spearman correlation, 0.566, SE = 0.042) and LE patients (weighted Pearson correlation, 0.645, SE = 0.062; weighted Spearman correlation, 0.631, SE = 0.041). PROMIS PF questionnaires completed by UE patients had fewer questions than legacy PROMs (5.9 vs 17.7, P = .0093) and were completed in less time (90.5 vs 223.8 seconds, P = .084). PROMIS PF questionnaires completed by LE patients had fewer questions than legacy PROMs (4.81 vs 15.33, P < .001) and were completed in less time (63.6 vs 203.2 seconds, P = .0063). The differences for the reliability measures were not significant. CONCLUSIONS PROMIS PF scores correlate strongly with commonly used legacy PROMs in orthopaedics, particularly in UE and LE patients. PROMIS PF forms can be administered efficiently and to a broad patient population while remaining highly reliable. Therefore, they can be justified for standardized use among orthopaedic patients with UE and LE conditions, improving the ability to aggregate and compare outcomes in orthopaedic research. LEVEL OF EVIDENCE Level IV, systematic review of Level I-IV evidence.

Background: Coronary computed tomography angiography (CCTA) is used to assess plaque characteristics, remodelling, and progression and regression. Few papers address standard operating procedures that ensure achievement of high interobserver reproducibility. Moreover, assessment of coronary artery bypass grafts has not been reported. Methods: A training set of images was created of native coronary segments, spanning the full range of atheromatous disease from normal to severe, excluding totally occluded segments, and including segments with or without calcification (n = 24) and completely normal-appearing bypass grafts (n = 16). Three observers used a validated software program during a training phase to establish standard operating procedures and then to achieve high intraobserver performance based on Pearson’s correlation coefficient. Subsequently, interobserver variability for the laboratory as a whole was determined with a focus on measures of plaque volume, low- attenuation plaque (LAP), mixed plaque (MP), and calcified plaque (CP). Results: We found no substantive differences in analytical issues between grafts and native vessels and emphasize the aggregated data. The range of mean total plaque percent was approximately 55% of total vessel volume with maximal interobserver mean absolute differences of 2% or less. Percent of LAP, MP, and CP demonstrated interobserver standard errors of 1% to 2% and interobserver mean absolute differences of 0% to 1%. Pearson’s correlations were all highly significant and ranged from 0.969 to 0.999. Conclusions: CCTA provides a rich diversity of measures of atherosclerosis in coronary and bypass segments that are highly reproducible with experience and adherence to standard operating procedures. Résumé: Introduction: L’angiographie cardiaque par tomodensitométrie (TDM) est utilisée pour évaluer les caractéristiques, le remodelage, la progression et la régression de la plaque. Peu d’articles portent sur les procédures opérationnelles normalisées qui permettent d’atteindre une reproductibilité inter-observateurs élevée. De plus, les greffons de pontage aorto-coronarien n’ont pas fait l’objet d’évaluation. Méthodologie: Un ensemble de formation composé d’images de segments d’artères coronaires natives couvrant l’ensemble de la maladie athéromateuse, c’est-à-dire de normale à sérieuse, à l’exclusion des segments totalement obstrués, mais y compris les segments calcifiés ou non (n = 24) et les greffons de pontage qui apparaissent complètement normaux (n = 16) a été créé. Trois observateurs ont utilisé un programme informatique validé durant la phase de formation pour établir des procédures opérationnelles normalisées et ensuite pour atteindre une performance intra-observateurs élevée en fonction du coefficient de corrélation de Pearson. Subséquemment, la variabilité inter-observateurs du laboratoire dans son ensemble a été déterminée plus particulièrement par les mesures du volume de la plaque, la plaque de faible atténuation (PFA), la plaque mixte (PM) et la plaque calcifiée (PC). Résultats: Nous n’avons constaté aucune différence dans les difficultés analytiques entre les greffons et les vaisseaux natifs et faisons valoir les données regroupées. La fourchette du pourcentage total moyen de la plaque était approximativement de 55 % du volume total du vaisseau avec des différences inter-observateurs absolues moyennes maximales de 2 % ou moins. Le pourcentage de la PFA, de la PM et de la PC a démontré des erreurs types inter-observateurs de 1 % à 2 % et des différences absolues moyennes inter-observateurs de 0 % à 1 %. Les corrélations de Pearson étaient toutes hautement significatives et allaient de 0,969 à 0,999. Conclusions: La TDM offre une riche diversité de mesures de l’athérosclérose dans les segments d’artères coronaires et de pontage qui, avec l’expérience et le respect des procédures opérationnelles normalisées, sont très reproductibles.

Background Body weight scales to height with a power of ≈2 (weight/height2 ), forming the basis of body mass index (BMI). The corresponding scaling of body composition measured by abdominal computed tomography (CT) to height has not been established. The objective of this analysis was to quantify the scaling of body composition measured by a single-slice axial abdominal CT image (skeletal muscle, and visceral, subcutaneous, and total adipose tissue) to height in patients with colorectal cancer (CRC). Methods This cross-sectional study included non-Hispanic white males and females, aged 18-80 years, who were diagnosed with stage I-III CRC at an integrated health care system in North America between January 2006 and December 2011. Body composition was measured by a single-slice axial CT image of the third lumbar vertebra and analysed with a semi-automated threshold segmentation procedure. Allometric regression models were used to quantify height scaling powers (β ± standard error) for each body composition measure, adjusted for age, for males and females. An interaction test was used to determine if height scaling powers were statistically significantly different between males and females. Results Among 2036 subjects, the mean (standard deviation) age was 64 ± 11 years, 1008 (49.5%) were female, and the mean (standard deviation) BMI was 27.9 ± 5.4 kg/m2 . Powers for skeletal muscle area were 1.06 ± 0.12 for males and 0.80 ± 0.12 for females (P = 0.049). Powers for visceral adipose tissue area were 1.81 ± 0.64 for males and 0.57 ± 0.79 for females (P = 0.16). Powers for subcutaneous adipose tissue area were 2.04 ± 0.42 for males and 0.81 ± 0.45 for females (P = 0.056). Powers for total abdominal adipose tissue area were 1.80 ± 0.46 for males and 0.76 ± 0.50 for females (P = 0.20). Conclusions Body composition measured by single-slice axial abdominal CT, particularly muscle area, scales to height with age-adjusted powers that are different than 2 and are distinct between males and females. These observations may have implications for the development of height-adjusted body composition indices in patients with cancer.

Purpose We estimated the minimal clinically important difference (MCID) for the Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function (PF) and Pain Interference (PI) computer adaptive tests (CATs) following surgical treatment of distal radius fracture (DRF). Methods Adult patients surgically treated between November 2017 and November 2020 for isolated DRF were identified. Demographic and patient-reported outcome data were extracted from the electronic health record . Outcomes of interest were the PROMIS PF and PI CATs. Inclusion criteria were met if: (1) PROMIS PF and PI scores were available at preoperative and postoperative visits; and (2) a postoperative clinical anchor question asking about overall response to treatment was answered. An anchor-based MCID estimate was determined by calculating the average absolute score change in PROMIS PF and PI for patients who indicated a mild change to the anchor question. A distribution-based MCID estimate was also calculated using the standard error of measurement and effect sizes of change. Results The changes in PROMIS PF and PI scores were significantly different between patients who gave responses of much change (n = 73), mild change (n = 51), and no change (n = 19) to the clinical anchor question. The average score changes in the mild change group for PROMIS PF and PI were 5.2 (SD, 3.7) and 6.8 (SD, 4.3) points, respectively, representing the anchor-based MCID estimates. The PROMIS PI anchor-based estimate was moderately correlated with the preoperative score (r = −0.41), time between visits (r = −0.39), and age (r = 0.30). The distribution-based MCID estimates were 3.8 (SD, 1.3) and 3.7 (SD, 1.3) points for the PROMIS PF and PI, respectively. Conclusions The MCIDs were estimated as 5.2 and 6.8 for the PROMIS PF and PI CATs, respectively, following surgery for DRF. Clinical relevance As reports continue to publish a consistent range of MCID values, researchers can be confident in these values and begin using them across a broader spectrum of conditions treated by hand surgeons.

International audience; An important issue in medical image processing is to be able to estimate not only the performances of algorithms but also the precision of the estimation of these performances. Reporting precision typically amounts to reporting standard-error of the mean (SEM) or equivalently confidence intervals. However, this is rarely done in medical image segmentation studies. In this paper, we aim to estimate what is the typical confidence that can be expected in such studies. To that end, we first perform experiments for Dice metric estimation using a standard deep learning model (U-net) and a classical task from the Medical Segmentation Decathlon. We extensively study precision estimation using both Gaussian assumption and bootstrapping (which does not require any assumption on the distribution). We then perform simulations for other test set sizes and performance spreads. Overall, our work shows that small test sets lead to wide confidence intervals (e.g. ∼8 points of Dice for 20 samples with σ ≃ 10).

Objective: There is strong evidence regarding impaired knee self-perception in patients with chronic knee osteoarthritis (OA). Currently, the Fremantle Knee Awareness Questionnaire (FreKAQ) has been developed to evaluate knee self-perception. This study aimed to evaluate validity and reliability of the Persian version of FreKAQ in patients with chronic knee OA.The FreKAQ was translated via forward-backward translation. In total, 312 patients with chronic knee OA completed the questionnaire, and the construct validity of the instrument was evaluated using exploratory and confirmatory factor analyses (EFA and CFA). Moreover, its reliability was confirmed using internal consistency and Cronbach's alpha coefficient. In addition, intra-class correlation coefficient and standard error measurement (SEM) and minimal detectable change (MDC) were used to assess its relative and absolute consistency. Therefore 50 patients, completed the questionnaire twice at one-week intervals.In EFA, Kaiser-Meyer-Olkin (0.705) and Bartlett's tests were significant (P 0.001), and CFA also indicated acceptable fitting with three factors. Moreover, the indices of PNFI = 0.57, PCFI = 0.60, χ2/DF = 1.14, AGFI = 0.95, GFI = 0.97, and RMSEA = 0.027 confirmed the goodness of fit of the model. The Cronbach's alpha and repeatability were estimated at 0.817 and 0.874, respectively, and the SEM and MDC was 2.13, 4.91.According to the results, the Persian version of FreKAQ had proper construct validity and reliability to evaluate the impairment of knee self-perception in patients with chronic knee OA.

Summary Background and aims Lean muscle and fat mass in the human body are important indicators of the risk of cardiovascular and metabolic diseases. Techniques such as dual-energy X-ray absorptiometry (DXA) accurately measure body composition, but they are costly and not easily accessible. Multiple linear regression (MLR) models have been developed to estimate body composition using simple demographic and anthropometric measures instead of expensive techniques, but MLR models do not explore nonlinear interactions between inputs. In this study, we developed simple demographic and anthropometric measure-driven artificial neural network (ANN) models that can estimate lean muscle and fat mass more effectively than MLR models. Methods We extracted the demographic, anthropometric, and body composition measures of 20,137 participants from the National Health and Nutrition Examination Survey conducted between 1999 and 2006. We included 13 demographic and anthropometric measures as inputs for the ANN models and divided the dataset into training and validation sets (70:30 ratio) to build and cross-validate the models that estimate lean muscle and fat mass, which were originally measured using DXA. This process was repeated 100 times by randomly dividing the training and validation sets to eliminate any effect of data division on model performance. We built additional models separately for each sex and ethnicity, older individuals, and people with underlying diseases. The coefficient of determination (R2) and standard error of estimate (SEE) were used to quantify the goodness of fit. Results The ANN models yielded high R2 values between 0.923 and 0.981. These values were significantly higher than those of the MLR models (p Conclusions We developed and validated an inexpensive but effective method for estimating body composition using easily obtainable demographic and anthropometric data.

形態: カラー図版あり, Physical characteristics: Original contains color illustrations, Accepted: 2020-11-27, 資料番号: PA2120067000

To investigate the potential of dielectric spectroscopy in quantitatively determining the somatic cell count (SCC) of raw milk, the dielectric spectra of 301 raw milk samples at different SCC were collected using coaxial probe technology in the frequency range of 20 to 4,500 MHz. Standard normal variate, Mahalanobis distance, and joint x-y distances sample division were used to pretreat spectra, detect outliers, and divide samples, respectively. Principal component analysis and variable importance in projection (VIP) methods were used to reduce data dimension and select characteristic variables (CVR), respectively. The full spectra, 16 principal components obtained by principal component analysis, and 86 CVR selected by VIP were used as inputs, respectively, to establish different support vector regression models. The results showed that the nonlinear support vector regression models based on the full spectra and selected CVR using VIP had the best prediction performance, with the standard error of prediction and residual predictive deviation of 0.19 log SCC/mL and 2.37, respectively. The study provided a novel method for online or in situ detection of the SCC of raw milk in production, processing, and consumption.

This study aimed to validate the PROMIS ® pediatric v2.0 Anger scale in the Dutch general population, provide reference data, and compare reliability and relative efficiency between the full-length scale, its short-form, computerized adaptive test (CAT), and Pediatric Quality of Life Inventory (PedsQL TM) emotional functioning (EF) subscale scores. Children (N = 1,328), representative of the Dutch population, were asked to complete the PROMIS pediatric Anger scale (8–18 years) and PedsQL TM (8–17 years). A graded response model (GRM) was fit to the data. Structural validity was assessed by checking item-fit statistics (S−X 2, p 0.50) was expected between the Anger scale and PedsQL TM EF subscale score. Dutch mean T score based on the U.S. model was calculated to provide reference data and cut-offs. Standard error of measurement (SE(θ)) was used to assess reliability (SE(θ) 2/N items) to compare how good the measures performed relative to the amount of items administered. In total, 527 children completed the PROMIS pediatric Anger scale, of which 482 completed the PedsQL TM. Structural validitywas sufficient as no items displayedmisfit (S−X 2 = 22.9–40.3, p >.001). The Anger scale score correlated moderately (Pearson’s r =.64) with the PedsQL TM EF subscale score. Dutch mean T score was 44.20 (SD = 11.39), with cut-offs of >52.2 for moderate and ≥62.3 for severe symptoms. Reliable measurements were obtained at the population mean and >2SD in the clinically relevant direction. CAT outperformed all other measures in efficiency. The PROMIS pediatric Anger scale displayed sufficient psychometric properties within the Dutch population and reference data are available.

The aim of this study was to determine the intra- and inter-rater reliability of a new semi-automatic image analysis method for quantification of the shape of the Doppler signal and the intratendinous vascular resistance in patellar tendinopathy. Thirty athletes (27.4 y, standard deviation = 8.57 y) with patellar intratendinous vascularity were included in a cross-sectional study (42 tendons analyzed). The intratendinous blood flow was assessed with power Doppler and ImageJ (Version 1.50b, National Institutes of Health, Bethesda, MD, USA) quantification software over a manually selected region of interest. Two blinded observers performed the analysis of the Doppler signal (vascular resistance) and shape descriptors (number of signals, pixel intensity, area, perimeter, major diameter, minor diameter, circularity and solidity). The intraclass correlation coefficient (ICC) was calculated, and the Bland–Altman mean of differences (MoD) and 95% limits of agreement (LoA) were determined. Also, small real differences (SRDs) and the standard error of measurement (SEM) were calculated. Intra-rater reliability was at a maximum for area (ICC = 0.999, 95% confidence interval [CI] = 0.998–0.999) and at a minimum for solidity (ICC = 0.782, 95% CI: 0.682–0.853). The MoD and 95% LoA were very low, and the relative SRD and SEM were below 5.3% and 2%, respectively. The inter-rater reliability was the maximum for area (ICC = 0.993, 95% CI = 0.989–0.996) and the minimum for circularity (ICC = 0.73; 95% CI=0.611–0.817). The MoD and 95% LoA were low, with the SRD and SEM below 6% and 2.2%. The proposed quantitative method for studying the intratendinous Doppler signal in the patellar tendon is reliable and reproducible.

Purpose: Given the potential anti-ischemic effects of allopurinol, we aimed to assess whether allopurinol administration may reduce myocardial injury following non-ST elevation myocardial infarction (NSTEMI). Methods: A randomized clinical trial (RCT) was conducted on 100 individuals with NSTEMI. The intervention group (n=50) received 600 mg oral allopurinol at the time of diagnosis of NSTEMI, followed by 300 mg every day for two next days and the standard treatment of NSTEMI, while the control group (n=50) received only the standard treatment. Serum concentrations of cardiac troponin I (cTnI) were measured at baseline, and 8, 16, 24, and 32 hours after the treatment. Results: The baseline demographic and clinical data of the patients were not statistically different between the intervention and control groups (all P > 0.05). The comparing estimated marginal mean ± standard error for cardiac troponin I (cTnI) levels revealed no significant difference between the study groups (2.93 ± .27, 2.25 ± .27; P=0.082). The linear mixed model results showed that the interaction of time and group was not statistically different (P=0.751). Moreover, there was a decreasing trend over time for cTnI in both groups (P=0.039). Conclusion: The present pilot RCT did not support the potential cardio-protective benefits of allopurinol administration on decreasing myocardial injury following NSTEMI.

Objective This systematic review and meta-analysis was undertaken to estimate the effectiveness of motorcycle safety campaigns for increasing helmet use among motorcycle riders and passengers. Methods PubMed, Scopus, EMBASE, and the Web of Science (WOS) databases were systematically searched up June 2020 for all relevant studies. The National Institute of Health (NIH) tool was used to assess the quality of all included studies. Inter-study heterogeneity was measured using the Chi-Squared and I2 statistics, with the odds ratio (OR) being used as a measure of the pooled effect size. Results Out of the 561 records identified from the literature searches, eight articles (or 11 studies) were eligible for inclusion in the present meta-analysis. Using a random effects model, the results of the meta-analysis demonstrated statistically significant increases in helmet use among motorcycle riders (OR = 4.52, 95% CI: 1.01–20.14, I2 = 99.9%) and passengers (OR = 6.57, 95% CI: 1.41–30.56, I2 = 99.9%). The findings of sensitivity analyses, based on alternative levels of r for imputing the standard error (SE) of the ORs, showed the pooled OR of helmet use among motorcycle riders (r = 0.7; 3.49; 95% CI: 0.78, 16.44; r = 0.9; 3.49; 95% CI: 0.76, 16.11) was sensitive to different levels of r. However, no significant effect was detected on the pooled effect size for different correlation coefficients for motorcycle passengers (r = 0.7; 6.56; 95% CI: 1.59, 27.00; r = 0.9; 6.56; 95% CI: 2.25, 19.13). Increases in helmet use among motorcycle passengers were found in studies that: monitored pre and post campaign periods for longer than one year and were conducted in Thailand or Vietnam. However, the effect of motorcycle safety campaigns on helmet use among motorcycle riders remained significant for all of the different strata included. Conclusion The present meta-analysis found that motorcycle safety campaigns can lead to a significant increase in helmet use among both motorcycle riders and passengers. Due to the high degree of inter study heterogeneity, these findings should be interpreted with some caution. Despite the apparent favourable influence of motorcycle safety campaigns, more robust research is required.

In many biomedical studies or clinical trials, we have data with more than one response variable on the same subject repeatedly measured over time. In analyzing such data, we adopt a multivariate linear mixed-effects longitudinal model. On the other hand, in longitudinal data, we often find features that do not impact modeling the response variable and are eliminated from the study. In this paper, we consider the problem of simultaneous variable selection and estimation in a multivariate t linear mixed-effects model (MtLMM) for analyzing longitudinally measured multioutcome data. This work's motivation comes from a cohort study of patients with primary biliary cirrhosis. The interest is eliminating insignificant variables using the smoothly clipped and absolute deviation penalty function in the MtLMM. The proposed penalized model offers robustness and flexibility to accommodate fat tails. An expectation conditional maximization algorithm is employed for the computation of maximum likelihood estimates of parameters. The calculation of standard errors is affected by an information-based method. The methodology is illustrated by analyzing Mayo Clinic Primary Biliary Cirrhosis sequential (PBCseq) data and a simulation study. We found drugs and sex can be eliminated from the PBCseq analysis, and over time the disease progresses.

The Central Sensitization Inventory (CSI) is a tool that aid in identifying symptoms associated with nociplastic pain. The aim of this study is to adapt CSI to Arabic language, and to examine its psychometric properties. Adaptation process followed recommended guidelines. Participants with self-reported chronic pain completed a web-based survey. The internal consistency was calculated. Test–retest reliability was examined by allowing 7–9 day gap between two rounds of measurements. Convergent validity was examined by measuring the correlation with Pain Catastrophizing Scale (PCS), EQ-VAS, and EQ-5D-3L. Discriminant validity was examined by testing four priori hypotheses. Factor analysis with principal components extraction was conducted. CSI-Arabic (CSI-Ar) was successfully produced. Its internal consistency and test–retest reliability were excellent (Cronbach's α = 0.88 and ICC2,1=0.94). The standard error of measurement and minimal detectable change 95% were 3.45 and 9.57, respectively. CSI total score correlation with PCS, EQ-5D-3L, and EQ-VAS was moderate. The results lend support to the four hypothesis related to discriminant validity. Factor analysis revealed a four-factor structure of CSI-Ar. CSI-Ar showed an internal consistency, test–retest reliability, and validity that are comparable to similar studies. The results support the use of CSI-Ar in assessing chronic pain in Arabic-speaking population.Implications for rehabilitationCentral sensitization (CS) mechanisms are thought to contribute to chronic pain.Identifying the presence of CS would personalize management.The Central Sensitization Inventory (CSI) is a valid and reliable tool to aid in identifying symptoms associated with CS.The Arabic version of the CSI is valid and reliable to use in Arabic speaking patients suffering from chronic pain. Central sensitization (CS) mechanisms are thought to contribute to chronic pain. Identifying the presence of CS would personalize management. The Central Sensitization Inventory (CSI) is a valid and reliable tool to aid in identifying symptoms associated with CS. The Arabic version of the CSI is valid and reliable to use in Arabic speaking patients suffering from chronic pain.

During follow-up patients may experience non-fatal events related to disease progression and death. This is a “semi-competing risks” setting, as the occurrence of death before non-fatal events prevents the observation of the latter, but not vice versa. We developed a regression model for non-fatal event free survival in the presence of semi-competing risks based on pseudo-values. It is estimated in three steps: estimate non-parametrically non-fatal event free survival under a defined copula representing the joint distribution of time to fatal and non-fatal events; compute non-fatal event free survival pseudo-values for every individual at predefined time points; fit a GEE model using pseudo-values as a response variable. A simulation study is performed and two clinical examples are analysed. The proposed method provides covariate coefficient estimates almost unbiased, with standard errors slightly higher than those obtained with methods based on maximum likelihood estimation. However, pseudo-values regression, being based on estimation functions, has the advantage of enabling adjusted covariate effects estimation without convergence problems and allowing a direct smoothed estimate of the hazard function. Moreover, standard routines computing pseudo-values and GEE are available in statistical software.