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Inventory of interpersonal problems: a three-dimensional balanced and scalable 48-item version.

Interpersonal relating has been a focus of attention in psychiatry for decades. To address this domain, a self-rating scale, the Inventory of Interpersonal Problems (IIP; Horowitz, Rosenberg, Baer, Ureño, & Villaseñor, 1988), was developed. Analysis of the psychometric properties of IIP presented in this article was performed by principal component analysis (PCA) for the purpose of obtaining subscales with a balanced, bipolar dimensionality. The model was validated by the resulting dimensions' ability to discriminate among different categories of personality disorders (PDs). The problem of a General Complaint factor affecting PCAs of questionnaires such as the IIP is discussed thoroughly, and ways of avoiding the problem are outlined. We present a three-dimensional structure of the IIP with both theoretically appealing and statistically robust dimensions of Assertiveness, Sociability, and Interpersonal Sensitivity based on 48 (out of 127) items. Balanced, additive indexes using the subset of 48 items appeared psychometrically sound by showing much lower correlations internally and less confounding from the General Complaint factor than extant indexes derived from the IIP. External validity seemed to be bolstered by all subscales' discriminating significantly between different PDs versus no PDs, on both cluster and single diagnosis levels. Our analysis seemed to substantiate the reliability (scalability) of three dimensions of the IIP tapping different areas of the interpersonal relational field.

Adolescent↗

The DSM-IV criteria for adolescent alcohol and cannabis use disorders.

OBJECTIVE: The aims of this study are to compare DSM-IV criteria for alcohol and cannabis use disorders with its predecessor, DSM-III-R, and to examine the validity of the new criteria in an adolescent drug clinic sample. METHOD: During evaluation, a sample of 772 adolescents (63% boys, 77% white) were administered a structured interview of diagnostic symptoms and additional problem severity measures. Independent staff ratings of problem severity and treatment referral were collected as well. RESULTS: Compared to its predecessor, DSM-III-R, application of the DSM-IV criteria for alcohol and cannabis users resulted in more abuse assignments and fewer dependence assignments. The shift in assignments appeared to be largely due to a lowering of the abuse threshold, rather than to a tightening of the dependence criteria. The external validity data generally supported the DSM-IV abuse and dependence distinction in adolescents, and the newer criteria were as valid as the older criteria. CONCLUSIONS: In contrast to DSM-III-R, the DSM-IV system yields more abuse cases and fewer dependence cases among adolescent alcohol and cannabis abusers. Validity evidence for the new criteria are defensible, yet the findings are seen as a starting point for discussing the need for tailoring substance use disorder criteria for adolescents.

Adolescent↗

SAPS II revisited.

OBJECTIVE: To construct and validate an update of the Simplified Acute Physiology Score II (SAPS II) for the evaluation of clinical performance of Intensive Care Units (ICU). DESIGN AND SETTING: Retrospective analysis of prospectively collected multicenter data in 32 ICUs located in the Paris area belonging to the Cub-Rea database and participating in a performance evaluation project. PATIENTS: 33,471 patients treated between 1999 and 2000. MEASUREMENTS AND RESULTS: Two logistic regression models based on SAPS II were developed to estimate in-hospital mortality among ICU patients. The second model comprised reevaluation of original items of SAPS II and integration of the preadmission location and chronic comorbidity. Internal and external validation were performed. In the two validation samples the most complex model had better calibration than the original SAPS II for in-hospital mortality but its discrimination was not significantly higher (area under ROC curve 0.89 vs. 0.87 for SAPS II). Second-level customization and integration of new items improved uniformity of fit for various categories of patients except for diagnosis-related groups. The rank order of ICUs was modified according to the model used. CONCLUSIONS: The overall performance of SAPS II derived models was good, even in the context of a community cohort and routinely gathered data. However, one-half the variation of outcome remains unexplained after controlling for admission characteristics, and uniformity of prediction across diagnostic subgroups was not achieved. Differences in case-mix still limit comparisons of quality of care.

APACHE↗

Development and validation of a simple model to predict severe coronary artery disease after myocardial infarction: potential impact on cardiac catheterization use in the United States and Canada.

BACKGROUND: Improved patient selection may optimize the efficiency of cardiac catheterization in both high- and low-rate regions. The purpose of this study was to develop and validate a clinical model for predicting high-risk coronary artery disease (CAD) after myocardial infarction (MI) and to examine the model's potential impact on the use rate of both US and Canadian catheterization practices. METHODS AND RESULTS: By the use of baseline clinical variables from 1122 patients in the angiographic substudy of the Global Use of Strategies to Open Occluded Arteries in Acute Coronary Syndromes (GUSTO-1) trial, we developed a model that was predictive of severe CAD (left main or triple-vessel disease). The final model, which included prior MI, age, sex, hyperlipidemia, and decreased left ventricular ejection fraction (C-index = 0.70), was externally validated in 781 patients in the GUSTO IIb trial. Although the probability of severe CAD predicted 5-year survival, the frequency of catheterization in both Canada and the United States bore no relationship to severe CAD risk in the GUSTO-1 trial. By use of the model, we estimated that as much as 15% of US catheterizations from both GUSTO-1 and GUSTO IIb might have been avoided, without significantly compromising the number of patients with severe CAD who were identified (sensitivity = 0.94). By applying the model to Canadian practices, an additional 30 cases of severe CAD might have been identified per every 1000 catheterizations performed, without increasing the catheterization rate. CONCLUSIONS: The likelihood of severe CAD after ST-elevation MI may be predicted from simple baseline clinical variables. The use of a severe CAD predictive model to guide patient selection might enhance the cost-effectiveness of both aggressive and conservative catheterization practices.

Analysis of Variance↗

Reliability and validity of the longitudinal interval follow-up evaluation for assessing outcome of anxiety disorders.

The LIFE-UP, an instrument for prospectively following course for psychiatric disorders, has been extended to include Psychiatric Status Ratings (PSRs) for the DSM-III-R anxiety disorders panic (with and without agoraphobia), agoraphobia without panic, generalized anxiety disorder, social phobia, and simple phobia. This paper reports data on the reliability and validity of the LIFE-UP as used in the Harvard/Brown Anxiety Disorders Research Program. We found generally good reliability for the PSRs, both inter-rater and long-term test-retest. The reliability coefficients for the rater-administered instruments were very similar to those for the self-reports, suggesting that a large proportion of the variance was due to subject variability rather than rater variability. Reliability for the beginning of the year of follow-up was very similar to that for the time just before the interview. In addition, correlations with other measures of psychosocial function or anxiety symptomatology provided evidence for the external validity of the PSRs as measures of psychiatric morbidity.

Adolescent↗

Myoferlin: A Potential Marker of Response to Radiation Therapy and Survival in Locally Advanced Rectal Cancer.

PURPOSE: Patients with locally advanced rectal cancer often require neoadjuvant chemoradiation therapy to downstage the disease, but the response is variable with no predictive biomarkers. We have previously revealed through proteomic profiling that myoferlin is associated with response to radiation therapy. The aims of this study were to further validate this finding and explore the potential for myoferlin to act as a prognostic and/or therapeutic target. METHODS AND MATERIALS: Immunohistochemical analysis of a tissue microarray (TMA) for 111 patients was used to validate the initial proteomic findings. Manipulation of myoferlin was achieved using small interfering RNA, a small molecular inhibitor (wj460), and a CRISPR-Cas9 knockout cell line. Radiosensitization after treatment was assessed using 2-dimensional clonogenic assays, 3-dimensional spheroid models, and patient-derived organoids. Underlying mechanisms were investigated using electrophoresis, immunofluorescence, and immunoblotting. RESULTS: Analysis of both the diagnostic biopsy and tumor resection samples confirmed that low myoferlin expression correlated with a good response to neoadjuvant long-course chemoradiation therapy. High myoferlin expression was associated with spread to local lymph nodes and worse 5-year survival (P = .01; hazard ratio, 3.5; 95% CI, 1.27-10.04). This was externally validated using the Stratification in Colorectal Cancer database. Quantification of myoferlin using immunoblotting in immortalized colorectal cancer cell lines and organoids demonstrated that high myoferlin expression was associated with increased radioresistance. Biological and pharmacologic manipulation of myoferlin resulted in significantly increased radiosensitivity across all cell lines in 2-dimensional and 3-dimensional models. After irradiation, myoferlin knockdown cells had a significantly impaired ability to repair DNA double-strand breaks. This appeared to be mediated via nonhomologous end-joining. CONCLUSIONS: We have confirmed that high expression of myoferlin in rectal cancer is associated with poor response to neoadjuvant therapy and worse long-term survival. Furthermore, the manipulation of myoferlin led to increased radiosensitivity in vitro. This suggests that myoferlin could be targeted to enhance the sensitivity of patients with rectal cancer to radiation therapy, and further work is required.

Humans↗

Identifying adults at low risk for significant hyperlipidemia: a validated clinical index.

The objective of this study was to develop and validate a simple clinical index to identify individuals at increased risk of an elevated CHL/HDL ratio. Using recursive partitioning, factors associated with an elevated CHL/HDL ratio were identified among 1993 men and 1631 women in the Lipid Research Clinic Prevalence Study. These factors were weighted using logistic regression analyses to develop a clinical index that was validated on 486 men and 484 women reported in the Santé Québec cardiovascular health survey. A high CHL/HDL ratio was defined as > or =5 for women and > or =6 for men which approximates the 75th percentiles reported in the second United States National Health and Nutrition Survey. In the Lipid Research Clinics cohort, 307 men (15.4%) and 188 women (11.5%) had an elevated CHL/HDL ratio. Using separate clinical indices for men and women, significant variables included body mass index, alcohol consumption, age, smoking status, systolic blood pressure, physical activity status, and the presence of diabetes, the study identified 88% of the men and 82% of the women with elevated ratios. External validation using the Santé Québec data set demonstrated test sensitivities of 81% for men and 94% for women. Overall, 12% of those with a high CHL/HDL ratio were misclassified as low risk. The ratio of total plasma cholesterol to HDL cholesterol has been shown to be one of the best lipid predictors of increased coronary risk. Readily available clinical data can be used to identify 88% of those individuals most likely to benefit from lipid screening while obviating the need for such screening in one quarter of otherwise healthy adults.

Adult↗

[From the creation to the appreciation of a pedagogic Internet site in anaesthesia and intensive care].

OBJECTIVES: The aim of this study was to conceive, create, validate and assess a pedagogic site to teach students. STUDY DESIGN: Survey with questionnaires. METHODS: First, we performed an educational need assessment in that field, conducting a review of legal regulations and international guidelines and a survey of 91 students. Afterwards, we drew up a reference document based on proven scientific data, with selected bibliography and we wrote a list of specific teaching objectives. We then created a pedagogic Web site including illustrated references, documents, a selected bibliography and useful Internet links. These pedagogic Web sites could be associated to well-conducted tutorial sites by qualified senior physicians in an academic process to improve procedural skill teaching. After internal and external validation, this educational Web site was evaluated by students. This evaluation used the questionnaire proposed by "Régie Régionale de la Santé et des Services Sociaux de Montréal" (regional authority control of health and social services of Montreal). Our pedagogic Web site obtained 76 out of 100 and can be considered satisfactory. CONCLUSION: This study demonstrated that adapted multimedia tools can improve procedural skill teaching in anaesthesia and intensive care.

Adult↗

[The quality-of-life questionnaire QLS-H: validation of the French language version of the questionnaire in patients with growth hormone deficiency and collection of reference data in the general population].

The QLS-H(c) (Questions on Life Satisfaction- Hypopituitarism) is new a quality of life (QoL) self-administered questionnaire addressing the complaints of adult patients with growth hormone deficiency. The French version of the QLS-H(c) (16 items) has been psychometrically evaluated during a randomized, open label study comparing two strategies of growth hormone (GH) replacement therapy. Seventy-three patients were included and received an 8-month GH replacement therapy. QoL was explored at baseline, 4 and 8 months using the QLS-H(c) questionnaire and the Nottingham Health Profile (NHP) reference scale. Acceptance of the QLS-H(c) was excellent as 92% of the questionnaires were suitable for analysis. All the items demonstrated good selectivity. The homogeneity of the questionnaire was confirmed (Cronbach's alpha, 0.87). The external validity construct was assessed and confirmed using the NHP scores. Sensitivity to change was confirmed. Following an 8-month replacement therapy, the perception of the QoL assessed with the QLS-H(c) questionnaire was significantly improved, irrespective to the treatment strategy. Finally, redundant items of the questionnaire were removed. As a result, the final version of the QLS-H(c) contained 9 items. In a parallel study, reference data of the QLS-H(c) (9 items) were collected from a representative sample of 989 subjects from the French population. With these reference ranges, algorithms to calculate Z scores adjusted for age and gender were developed as a measure for the deviation of patients' scores from those of the general population, and also to evaluate changes along time. In summary, the French version of the quality of life QLS-H(c) questionnaire is a relevant, validated investigational tool for the evaluation and follow-up of an adult patient with growth hormone deficiency.

Adult↗

Combining a budgetary-impact analysis and a cost-effectiveness analysis using decision-analytic modelling techniques.

BACKGROUND: Reimbursement of new drugs is usually based on the budgetary impact of a new drug but there is also increasing demand for cost-effectiveness data on new drugs. OBJECTIVE: To present a modelling technique (methodology) for an appropriate assessment of the budgetary impact of a new drug, which can simultaneously be used for a traditional cost-effectiveness analysis. DESIGN AND PERSPECTIVE: To illustrate the methodology, a model was constructed for a new hypothetical drug in Parkinson's disease, which allowed us to determine the budgetary impact and the cost effectiveness of this new antiparkinsonian drug from a societal perspective. The methodology consisted of two steps: (i) a simple population model (Markov model) was constructed to validate the epidemiological data by proving the consistency between the prevalence and incidence of Parkinson's disease for the Dutch population; (ii) this model was extended to a more complex model (semi-Markov model) by incorporation of disease progression for Parkinson's disease and all relevant economic and clinical measures. These included all drug utilisation associated with Parkinson's disease, as well as other resource utilisation patterns associated with outpatient and inpatient care for the treatment of Parkinson's disease. RESULTS: The study showed that the difference in epidemiological data between a simple model and a complex model are substantial, which justifies the development of a complex model with a higher external validity. The complex model allowed an assessment of all potential candidates for the new drug and simultaneously allowed the assessment of the cost effectiveness of the new drug versus usual care. CONCLUSION: One model can be used for an appropriate assessment of the budgetary impact and the cost effectiveness of a new drug.

Antiparkinson Agents↗

If dancers ate their shoes: inductive reasoning with factual and counterfactual premises.

This experiment addressed the effect of precue information, which may be either familiar or novel, and either relevant or irrelevant, on the solution of inductive reasoning problems. Sixty undergraduate students each completed 216 verbal inductive reasoning problems and five psychometric ability tests. The reasoning problems were equally divided among analogies, classifications, and series completions, with half of each kind of item presented in a standard, uncued format, and half presented with a precue. With respect to internal validation, it was found that for analogies and classifications, subjects take longer to process irrelevant than relevant information if the precue is familiar, but they take longer to process relevant than irrelevant information if the precue is novel. For series completions, this relation does not hold; rather, both novelty and irrelevance add time to the processing of information, with the time for irrelevance greater than that for novelty. The utility of precues for different tasks was explored, and it was found that familiar relevant precues facilitated solution of the more difficult kinds of items (classifications and series completions), but hampered solution of the easier, more automatically solved items (analogies). With respect to external validation, it was found that the nonentrenched induction tasks overlapped with psychometric tests in terms of abilities measured, that the abilities measured were fluid rather than crystallized, and that the precued (more nonentrenched) items were better measures of fluid abilities than were the uncued items.

Adult↗

What data do California HMOs use to select hospitals for contracting?

OBJECTIVE: To explore whether health maintenance organization (HMO) executives in a mature market are familiar with hospital report cards, whether they find the report cards useful (and if not, why not), and how they weight such data relative to other factors. STUDY DESIGN: Cross-sectional survey of HMO executives in 1999. PATIENTS AND METHODS: We contacted all 47 licensed HMOs and the sponsors of all 90 employee medical benefit plans in California with at least 1000 participants. Thirty of the 47 (63.8%) eligible HMOs provided usable responses: 19 in writing, 11 by telephone. RESULTS: HMO executives reported basing their contracting decisions primarily on hospital accreditation, location, and price. Although hospital quality is considered important, HMO executives rely primarily on accreditation, government disciplinary actions, reputation, and member satisfaction as measures of quality. Respondents voiced multiple concerns about the validity and usefulness of currently available process and outcome data. Accredited plans are more likely than unaccredited plans to perform independent analyses of hospital performance. CONCLUSIONS: Although HMO executives are interested in information on hospital quality, and are confident that such information will improve care, they are concerned about the limitations of available data and uncomfortable weighting these data heavily in selecting network hospitals. Prior empirical evidence suggests that HMOs may rely on surrogate quality measures and informal evaluation mechanisms to steer their members toward better-performing hospitals. Policy makers and producers of hospital report cards will need to address these problems by providing more timely data with longitudinal follow-up and external validation.

Accreditation↗

Evaluation of the subtype-specific epigenetic prognostic association of HELLS in non-small cell lung cancer: integrated clinical and molecular insights.

BACKGROUND: Helicase, lymphoid-specific (HELLS) is an epigenetic chromatin remodeler implicated in several cancers, but its prognostic role in non-small cell lung cancer (NSCLC) subtypes remains unclear. We investigated the expression, prognostic significance, and subtype-specific associations of HELLS in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC). METHODS: The Cancer Genome Atlas (TCGA) and independent Gene Expression Omnibus (GEO) datasets were analyzed. HELLS expression was compared between tumor and normal tissues, survival was evaluated separately in LUAD and LUSC, and gene set enrichment analysis (GSEA) was performed. Multivariable analyses were used to assess associations between HELLS and selected oncogenic and immune-related genes after adjustment for clinical variables. RESULTS: HELLS was significantly upregulated in both LUAD and LUSC compared with normal lung tissues (P<0.001). High HELLS expression was associated with shorter overall survival (OS) in LUAD (log-rank P=0.001) and in the TCGA-LUSC cohort (log-rank P=0.002); however, external validation in GSE42127 (LUSC, n=43) was not significant [log-rank P=0.12; hazard ratio (HR) =0.49, 95% confidence interval (CI): 0.20-1.22, P=0.13]. HELLS-high LUAD tumors showed enrichment trends enriched in proliferation-related pathways, whereas HELLS-low LUSC tumors were enriched in inflammatory and apoptotic pathways. HELLS expression remained associated with KRAS, BRAF, and CD274 in LUAD after adjustment for age, sex, and stage, while only limited associations were observed in LUSC. CONCLUSIONS: HELLS shows a subtype-dependent prognostic and molecular association in NSCLC, with the strongest and most reproducible signal in LUAD; however, its prognostic value is attenuated after multivariable adjustment and is not consistently reproduced across external cohorts.

Helicase, lymphoid-specific (HELLS)↗

Performance of AI-Based Screening Tools for Obstructive Sleep Apnea Across Apnea-Hypopnea Index Thresholds: Systematic Review and Meta-Analysis.

BACKGROUND: Obstructive sleep apnea (OSA) is highly prevalent but remains substantially underdiagnosed. Polysomnography (PSG) is the reference standard, but its cost and limited availability constrain large-scale case identification. AI-based screening tools may support risk stratification and referral prioritization, but their diagnostic accuracy across apnea-hypopnea index (AHI) thresholds remains uncertain. OBJECTIVE: This review aimed to systematically evaluate the diagnostic accuracy of AI-based OSA screening tools at AHI thresholds of &#x2265;5, &#x2265;15, and &#x2265;30 events/hour, with emphasis on models using non-PSG-derived inputs. METHODS: PubMed, Embase, Scopus, and Web of Science were searched for studies published from January 1, 2016, to May 3, 2026. Eligible studies included adults evaluated for suspected OSA or recruited from population-based cohorts, assessed AI-based models intended or interpretable for OSA screening, risk prediction, or screening-oriented severity classification, used PSG as the reference standard, and reported sufficient data to construct or reconstruct 2&#xd7;2 contingency tables. Diagnostic accuracy was synthesized separately by AHI threshold and input source using bivariate random-effects models, with 95% CIs and prediction intervals (PIs). Risk of bias and certainty of evidence were assessed using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies 2) and GRADE (Grading of Recommendations Assessment, Development, and Evaluation), respectively. RESULTS: A total of 60 studies were included, of which 47 contributed data to the meta-analysis. At AHI thresholds of &#x2265;5, &#x2265;15, and &#x2265;30 events/hour, pooled sensitivities were 0.94 (95% CI 0.92-0.96; 95% PI 0.71-0.99), 0.87 (95% CI 0.84-0.89; 95% PI 0.66-0.96), and 0.83 (95% CI 0.79-0.87; 95% PI 0.61-0.94), respectively; the corresponding specificities were 0.77 (95% CI 0.69-0.84; 95% PI 0.30-0.96), 0.81 (95% CI 0.75-0.85; 95% PI 0.39-0.96), and 0.91 (95% CI 0.87-0.94; 95% PI 0.55-0.99), respectively. The corresponding areas under the summary receiver operating characteristic curves were 0.943, 0.907, and 0.920. For non-PSG-derived tools, sensitivities were 0.92, 0.85, and 0.81, and specificities were 0.70, 0.74, and 0.85 at the 3 thresholds, respectively. For PSG-derived models, sensitivities were 0.96, 0.90, and 0.85, and specificities were 0.82, 0.88, and 0.96, respectively. Exploratory subgroup analyses suggested performance variation across selected study and model characteristics, including region, algorithmic framework, data source, and validation method. CONCLUSIONS: AI-based tools showed generally favorable screening performance for OSA across clinically relevant AHI thresholds, although wide PIs suggest variable performance across future comparable populations and settings. By synthesizing diagnostic accuracy across 3 AHI thresholds and distinguishing non-PSG-derived from PSG-derived models, this review extends previous broad or modality-specific reviews and offers a clinically interpretable, pathway-specific basis for linking model performance to intended use. The findings may clarify potential roles for non-PSG-derived tools in front-end screening and referral prioritization and for PSG-derived models in reduced-channel assessment and sleep-laboratory workflow support. Given substantial heterogeneity, limited external validation, and low or very low certainty of evidence, prospective validation is needed before routine implementation.

Humans↗

[Hypothetical model of serotonin deficit in the aged subject. Development and validation of a clinical scale].

Few works exist about specific abnormalities of neurotransmission, therefore noticeable and with important clinical consequences in elderly patients. Specially serotonin, which neurotransmission is lower, seems to have a wide influence. The symptomatology of the serotonin shortage is well known in the young adult (Asberg and Van Praag). The aim of this study is to apply those hypothesis and to look for a particular clinical expression of symptoms usually related to a low level of serotonin in an older population, and this in a transnosographic way. We built up a clinical scale gathering different symptoms supposed to be related to a defect in the serotonin transmission in elderly subjects. From a first factor analysis, a dimensional scale of ten items as been settled and validated in 75 inpatients over 60 years old; each patient has also been assessed by a series of tests (MMS of Folstein, Hamilton Depression Rating Scale, Jouvent mood scale, Widlöcher Retardation Scale). Factor analysis results show an homogeneous factorial structure and highly selective items and had a three factors dispatching (a "main" factor, a "depression" factor, and "sleep" factor). Those subgroups of symptoms have a clinical meaning and fit the litterature. We also find a good specificity: the factor analysis on added items of depressive semiology (Hamilton scale) and serotonin related semiology shows the splitting of the Hamilton items, whenever the 5-HT- Scale items keep a steady factorial repartition. Those preliminary results deserve further studies; and external validation of the scale remains to be done. Nevertheless, the structure of this scale shows a beginning of internal validation and seems to be interesting in the elderly clinical evaluation.

Aged↗

Development and testing of multilevel models for longitudinal craniofacial growth prediction.

INTRODUCTION: The aims of this study were to (1) develop longitudinal growth curves that would allow individual variations to be accurately modeled and (2) use these models to predict craniofacial growth changes in children with varying amounts of longitudinal data available. METHODS: Based on a sample of 159 girls (994 cephalograms) and 128 boys (947 cephalograms), multilevel population models were derived. Polynomial models of the population's growth curve were derived for the measurements MPA, Me-X, Me-theta, Me-Y, and Me-R. Angular and horizontal measures (MPA, Me-X, and Me-theta) were described by simpler, second-order models, and vertical measures (Me-Y and Me-R) were described by more complex, fifth-order models. RESULTS: Decreases in MPA during childhood and increases in Me-theta during adolescence could be explained by the relative contributions of the horizontal (Me-X) and vertical (Me-Y) movements of menton. There was greater anterior movement of menton during childhood and greater inferior movement during the adolescent growth spurt. By using varying numbers of longitudinal cephalograms between 6 and 10 years of age, the models were used to predict subjects' craniofacial growth changes from ages 10 to 15. Based on correlations, root mean squared error, and percent accuracy, individual growth predictions for the various measures were found to be highly accurate on an independent subsample drawn from the larger sample and on an independent validation sample. Correlations between predicted and actual values on the sample used to develop the models ranged from 0.81 to 0.95. Accuracy was best for the measurements that changed the most during the prediction period (Me-Y and Me-R), with accuracies between 83% and 90%. More longitudinal data did not increase the predictive accuracy for all measurements. The models that were least accurate (Me-X, MPA, and Me-theta) showed the greatest improvement in prediction accuracy with more longitudinal data. These improvements ranged from 1.6% to 15%. CONCLUSIONS: Longitudinal growth curves based on multilevel procedures can accurately describe population and individual growth curves, and 5-year predictions with this method are highly accurate and externally valid.

Adolescent↗

Machine learning-guided risk stratification in elderly AML based on genomic, immunophenotypic and therapeutic profiles.

BACKGROUND: Elderly patients with acute myeloid leukemia (AML) exhibit considerable biological and clinical heterogeneity, hindering precise prognosis. Existing prognostic systems inadequately capture the complexity of elderly AML due to their reliance on data from younger cohorts and omission of key factors like immunophenotypic markers and therapeutic profiles. This study aimed to develop and internally validate a machine learning-based prognostic model specifically tailored to elderly AML patients. METHODS: A total of 156 patients were analyzed using a two-stage modeling strategy. Clinical and genomic variables were modeled first, followed by independent analysis of immunophenotypic features. Feature selection was performed using multilayer perceptron (MLP) and random forest (RF), while multivariate Cox regression was used for final model construction. Internal validation was conducted using 1000 bootstrap iterations to assess model stability and performance. RESULTS: The model demonstrated strong predictive performance, with a concordance index (C-index) of 0.702. Time-dependent area under the curve (AUC) and calibration plots confirmed accurate prediction of 1-, 3-, and 5-year overall survival. Decision curve analysis indicated favorable net benefit across a range of threshold probabilities. Key independent prognostic factors identified included TP53 mutations, high CD13 expression, and IDH2 mutations. CONCLUSION: This model provides a robust and interpretable tool for individualized risk stratification in elderly AML. By integrating genomic, immunophenotypic, and therapeutic variables, it may help optimize treatment decisions and improve outcomes for this vulnerable population. Future efforts should focus on external validation and integration of dynamic biomarkers.

Humans↗

Validation of a shortened assessment of physical self in adults.

The purpose was to adapt a brief tool, the Physical Self Inventory-Version b, for the assessment of physical self in adults. The inventory is a refined version of the previously validated version, which was derived from the Physical Self Inventory (25 items). This French validation of the Physical Self-Perception Profile of Fox and Corbin includes a global self-esteem scale. As in the earlier version the current one has 6 single items to assess dimensions of global self-esteem, physical selfworth, sport competence, physical condition, attractive body, and physical strength. Rating is performed on a visual analog scale. Items in the new inventory were stated in the first person and in more general terms to be acceptable to a wider range of subjects. An item of measurement error was added. Analysis of responses of 185 men and 148 women to the new version supported the hierarchical structure. Significant correlations between the scores and constructs like masculinity, neuroticism, and depression indicated external validity. The new inventory showed acceptable psychometric properties for use in idiographic studies.

Adult↗