BACKGROUND: Early detection of developmental problems is important as it allows for early intervention. Previous studies, in high-risk infants, found high predictive values of atypical scores on the Standardized Infant NeuroDevelopmental Assessment (SINDA) for later neurodevelopmental disorders (i.e., cerebral palsy, intellectual disability).
OBJECTIVE: The present study explored SINDA\'s predictive values to identify risk of developmental delay at 4-5 years.
METHODS: Cohort study.
METHODS: 786 low-risk Dutch children (367 boys; median gestational age: 40 (27-42) weeks; mean birth weight: 3455 (SD 577) grams).
METHODS: The SINDA was assessed at 2-12 months and risk of developmental delay was assessed using the Ages and Stages Questionnaire (ASQ) at 4-5 years. SINDA\'s predictive values were determined for five ASQ domains and the total ASQ score for children at risk of marked (all ASQ domains deviant) and any (one or more ASQ domains deviant) developmental delay.
RESULTS: Presence of one atypical SINDA scale score showed low to moderate sensitivities (12-88 %, depending on the SINDA scale and ASQ domain involved), moderate to high specificities (66-94 %), low positive predictive values (PPVs; 3-16 %), and high negative predictive values (NPVs; 95-100 %) for children at risk of marked and any developmental. Presence of multiple atypical SINDA scale scores predicted deviant ASQ domains slightly better (sensitivities = 11-62 %, specificities = 90-98 %, PPVs = 6-30 %, and NPVs = 95-100 %).
CONCLUSIONS: In low-risk infants, SINDA\'s predictive value is low for detecting children at risk of marked and any developmental delay at 4-5 years, as reflected by the low sensitivities. One of the explanations is the relatively low prevalence of developmental delay in low-risk populations. This might have consequences for the application of the SINDA in general healthcare settings (e.g. child health clinics), but further studies are needed to draw this conclusion.

BACKGROUND: The aim of this study was to compare the predictive performance of three statistical models-logistic regression, classification tree, and structural equation model (SEM)-in predicting severe dengue illness.
RESULTS: We adopted modified classification of dengue illness severity based on WHO 1997 guideline. Predictive models were constructed using demographic factors and laboratory indicators on the day of fever occurrence. We developed statistical predictive models using data from two hospital cohorts in Thailand, consisting of 257 Thai children. Different predictive models for each category of severe dengue illness were developed employing logistic regression, classification tree, and SEM. The probability of discrimination of each model for severe output of disease was analyzed with external validation data sets from 55 and 700 patients not used in model development. From external validation using predictors on the day of presentation to the hospital, the area under the receiver operating characteristic curve was between 0.65 and 0.84 for the regression model. It was between 0.73 and 0.85 for SEM models. Classification tree models showed good results of sensitivity, ranging from 0.95 to 0.99. However, they showed poor specificity ranging from 0.10 to 0.44.
CONCLUSIONS: Our study showed that SEM is comparable to logistic regression or classification tree, which was widely used for more severe form of dengue prediction.

Background and objectives Considering the increasing utilization of online educational tools in medical education, it is essential to evaluate the reliability and validity of online assessments to accurately assess student proficiency and predict academic success. This study investigated the predictive efficacy of different online assessment methods in comparison to standard offline methods within the medical educational setting. Methods This study utilized a mixed-methods crossover design, involving 125 first-year medical students who were randomly assigned to either online or traditional examinations. The students then crossed over to the other type of assessment. The assessments consisted of multiple-choice questions (MCQs), viva voce, objective structured clinical examinations, and written theory examinations. Quantitative data on results, finishing times, and academic metrics were analyzed, along with qualitative data from student interviews exploring perceptions of each format. Results The online MCQs had the highest average scores and a moderately positive correlation with performance on the theory examination (r=0.326). Regression models indicated that online and offline MCQs were moderate positive predictors of theoretical marks (R2=0.106 and 0.107, respectively). Qualitative responses emphasized advantages such as flexibility and accessibility for online examinations but also concerns regarding technological challenges, interaction, and integrity compared to traditional formats. Conclusions Online MCQ assessments showed promise as indicators of medical student academic performance. However, additional online forms require improvement to match conventional assessments reliably. As medical education involves digital technologies, cautious implementation of online evaluations substantiated by further research is needed to preserve educational quality standards.

This report evaluates the effects of chlordiazepoxide, a benzodiazepine commonly prescribed to manage anxiety-related disorders in adolescent/pediatric populations, on elevated plus maze (EPM) performance in juvenile mice. This approach was taken because chlordiazepoxide produces anxiolytic-like effects in multiple models in adult rodents, however, less is known about the behavioral effects of this benzodiazepine in juveniles. Thus, we administered a single intraperitoneal injection of chlordiazepoxide (0, 5, or 10 mg/kg) to postnatal day 35 male C57BL/6 mice. Thirty minutes later, mice were allowed to explore the EPM for 5-min. We found that chlordiazepoxide-treated mice (5 and 10 mg/kg) spent more time exploring the open arms of the EPM. No differences in velocity (cm/s) or distance traveled (cm) were observed between the groups. These results indicate that chlordiazepoxide induces anxiolytic-related behavior in adolescent male mice.

UNASSIGNED: Clinical services require feasible assessments of parent-infant interaction in order to identify dyads requiring parenting intervention. We assessed the reliability and predictive validity of two observational tools and tested whether briefer forms could be identified which retain acceptable psychometric properties over short observation periods.
UNASSIGNED: A stratified high-risk community sample of 250 mother-infant dyads from The Wirral Child Health and Development Study completed 7-min play-based interaction at 6-8 months. Film-footage was independently coded by two trained raters using PIIOS and NICHD-SECCYD systems. Incremental predictive validity was assessed from 3, 5 and 7 min observation to attachment outcomes (Strange Situation; 14 months) and infant mental health (BITSEA; 14 and 30 months).
UNASSIGNED: Excellent inter-rater reliability was evident at code and subscale level for each tool and observation period. Stability of within-rater agreement was optimal after 5 min observation. ROC analysis confirmed predictive (discriminant) validity (AUCs >0.70) to top decile age 2 mental health outcomes for PIIOS total score and a brief 3-item composite from NICHD-SECCYD (sensitivity, intrusiveness, positive regard; NICHD-3), but not to attachment outcomes. Logistic regression showed dyads rated at-risk for externalizing problems using NICHD-3 were also at significantly higher risk for insecurity at 14 months (OR = 2.7, p = 0.004).
UNASSIGNED: PIIOS total and NICHD-3 ratings from 5 min observation are both reliable and valid tools for use in clinical practice. Findings suggest NICHD-3 may have greater utility due to its comparative brevity to train and code, with suitability for use over a broader developmental time frame (3-24 months).

UNASSIGNED: The perceived benefits and barriers to physical activity play crucial roles in determining daily physical activity levels. However, previous studies have employed tools lacking adequate validation, leading to inconsistent conclusions about the impact of these two factors. Therefore, this national, population-based study was conducted to assess the psychometric properties, measurement invariance, and predictive validity of the Chinese versions of the perceived benefits (C-PBEPA) and barriers to physical activity (C-PBAPA) scales.
UNASSIGNED: The final sample (N = 2942, 49.3 % for boys) was randomly split into two subsamples. The first subsample was used for exploratory factor analysis and the second subsample was used for confirmatory factor analysis. Measurement invariance across gender and age groups were examined. Structural equation models were developed to examine the predictive validity of the revised C-PBEPA and C-PBAPA on moderate to vigorous PA.
UNASSIGNED: The results showed that both scales were unidimensional, had excellent model fit (e.g., X 2/df < 3, CFI >0.9, RMSEA <0.06) and demonstrated convergent validity. Findings also revealed lack of scalar invariance for C-PBAPA between preadolescents and adolescents\' groups (ΔCFI >0.01) and supported the predictive validity of both scales (p < 0.001).
UNASSIGNED: The study demonstrated that the revised C-PBEPA and C-PBAPA are valid scales for measuring Chinese adolescents\' perceived benefits and barriers to PA.

OBJECTIVE: The predictive validity of disease-specific quality of life (QOL) remains unknown in patients with systemic lupus erythematosus (SLE), although disease-specific measures are equally or more responsive to changes than generic QOL. We aimed to examine the predictive validity of the Lupus patient-reported outcome (PRO) for damage accrual.
METHODS: Patients with SLE and ≥2 measurements over time were included in Japanese nationwide multicentre registry (LUNA). The Lupus PRO questionnaire contains both health-related (HR) and non-HR-QOL measures. Damage accrual was evaluated using the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index (SDI). We examined the association between the Lupus-PRO score at baseline and longitudinal SDI scores using mixed-effects models adjusted for prognostic factors.
RESULTS: Among 1295 patients, those with higher HR-QOL of Lupus PRO at baseline demonstrated a significantly lower increase in SDI (-0.005/year, 95% confidence interval [CI]: -0.007 to - 0.004, p < 0.001). According to the categorisation of HR-QOL based on tertile, a similar dose-dependent effect of HR-QOL on longitudinal SDI was identified (second vs first tertile category: -0.101/year, 95% CI: -0.172 to - 0.030; third tertile category: -0.211/year, 95% CI: -0.281 to - 0.142). Non-HR-QOL was not significantly associated with the SDI scores. Among the HR-QOL domains, cognition, procreation, and physical health were significantly associated with the total SDI scores over time. HR-QOL was associated with corticosteroid-dependent and -independent SDI scores.
CONCLUSIONS: A higher HR-QOL of Lupus PRO was associated with a lower increase in SDI scores. Our findings imply the importance of disease-specific HR-QOL measurements in assessing prognosis.

OBJECTIVE: A two-stage process, wherein self-report screening precedes the structured interview, is suggested for identifying individuals at clinical high-risk for psychosis (CHR-P) in community samples. Aim of this study was to screen a community youth sample from India for CHR-P using the two-stage method. Specific objectives were to assess concordant validity of the self-report measure and predictive validity of the two-stage method.
METHODS: Based on probability sampling, 2025 youth aged 15-24 years were recruited from one rural and one urban area of Telangana, a Telugu-speaking state in India. Telugu version of the PRIME Screen-Revised (PS-R) and structured interview for psychosis-risk syndromes (SIPS) were used. CHR-P positive and negative cohorts were followed-up for transition to psychosis at 3-monthly intervals.
RESULTS: One hundred ten individuals screened positive on PS-R. SIPS conducted on 67 out of 110 individuals confirmed 62 (92.54%) to be CHR-P positive. PS-R showed 98.41% sensitivity and 90.74% specificity. Among CHR-P positive, three participants transitioned to psychosis in 15 months. The hazard ratio for psychosis transition was 11.4.
CONCLUSIONS: Screening accuracy of PS-R in the community youth sample in Telangana is optimum. The hazard ratio for psychosis transition in the community identified CHR-P indicates good predictive validity for the two-stage method.

UNASSIGNED: Two similar but distinct versions of prolonged grief disorder (PGD) have recently been included in the International Classification of Diseases eleventh edition (ICD-11) and the Diagnostic and Statistical Manual of Mental Disorders - fifth edition, Text-Revision (DSM-5-TR). This study provides a criterion validity test of both new criteria sets of PGD, by examining concurrent and longitudinal associations of ICD-11 and DSM-5-TR prolonged grief symptoms with quality of life (QOL).
UNASSIGNED: Bereaved adults completed a survey assessing ICD-11 and DSM-5-TR prolonged grief symptoms, depressive symptoms, insomnia symptoms and QOL at baseline and 6-month follow-up.
UNASSIGNED: Both ICD-11 and DSM-5-TR prolonged grief symptoms related negatively to QOL concurrently, while controlling for insomnia and depressive symptoms. ICD-11 prolonged grief symptoms, but not DSM-5-TR prolonged grief symptoms, predicted QOL at 6-month follow-up, while controlling for baseline QOL and insomnia and depression symptoms.
UNASSIGNED: Results provide consistent evidence for the criterion validity of ICD-11 PGD, but mixed evidence for the criterion validity of DSM-5-TR PGD. Study results can help guide attempts to optimize and harmonize future PGD criteria.

Dynamic risk scales have largely been evaluated using singular assessment scores, including those obtained at the start of supervision. While this approach includes assessment of dynamic factors, it ignores changes with reassessment, failing to examine whether an instrument is truly dynamic in nature. This is problematic, as proximal risk assessments have consistently outperformed baseline assessments in the prediction of recidivism. In the current study, we examined the dynamic properties of the Dynamic Risk Assessment for Offender Reentry (DRAOR) in 4,736 adults on community supervision in Iowa, United States (N = 33,965 assessments). As expected, while clients demonstrated statistically significant changes on the DRAOR domains over time, changes were small in magnitude. We also examined the predictive validity of baseline and proximal DRAOR total and domain scores on criminal recidivism and revocation in a larger sample of 11,421 adults in the same jurisdiction. While DRAOR baseline scores did predict both outcomes, prediction did not improve with proximal scores. This conflicted with expected findings from previous research on the DRAOR in New Zealand. The results of both of these research questions indicate there was an overall lack of change reflected in this sample. Potential issues regarding implementation fidelity are discussed. Additional research is needed to examine the dynamic properties of the DRAOR in Iowa given the importance of reassessment data in community corrections.