Hospitalizaciones evitables por problemas de salud sensibles a cuidados ambulatorios: construcción y validación de la lista Uruguaya de patologías

Introducción: Las hospitalizaciones por Ambulatory Care Sensitive Conditions es un indicador que mide la utilización de los servicios hospitalarios por problemas de salud que podrían haber sido prevenidos en el primer nivel de atención. El concepto se refiere a los procesos en que la atención ambulatoria efectiva puede ayudar a disminuir los riesgos de hospitalización, en un segundo nivel de atención. El objetivo del estudio fue construir y validar una lista uruguaya de problemas de salud sensibles a cuidados ambulatorios (PSSCA) según CIE-10. Metodología: Para la construcción de la lista inicial de códigos de PSSCA se realizó una revisión de los listados existentes y se propuso un listado inicial que fue validado a través del Método Delphi. Se propone un listado de 99 códigos diagnósticos de PSSCA adaptado a nuestro entono sanitario. Los mismos permiten identificar y cuantificar problemas de salud que pueden producir hospitalizaciones potenciamente evitables mediante cuidados ambulatorios accesibes y oportunos en el primer nivel de atención. Resultados: Se conformó un panel de 12 expertos. A partir de los datos obtenidos, considerando los 99 diagnósticos clasificados por CIE-10, éstos se pueden subclasificar en función de si la patología es infecciosa o no, obteniendo un resultado general de 62 patologías en un total de 99 que pueden ser clasificadas como infecciosas, lo que se corresponde a un 62 %. Discusión: De la comparación de la lista uruguaya de PSSCA a la que hemos arribado y las listas validadas utilizadas para la construcción inicial del listado de patologías propuesto, podemos decir que la primera presenta un mayor porcentaje de coincidencia con la lista de patologías de Bello Horizonte. Podemos mencionar que la mayoría de los problemas de salud identificados con base en el listado de PSSCA, son sensibles de ser resueltos con la atención primaria oportuna y de calidad que podría evitar o disminuir de una manera significativa su hospitalización. Conclusiones: Este trabajo describe el proceso de construcción y validación de una lista de códigos de PSSCA adaptados al contexto uruguayo a través del método Delphi. Hemos arribado a un listado que comprende un total de 99 diagnósticos, agrupadas en un total de diecinueve categorías que considera la especificidad del contexto uruguayo del indicador.

Introduction: Hospitalizations for Ambulatory Care Sensitive Conditions is an indicator that measures the use of hospital services for health problems that could have been prevented at the first level of care. The concept refers to the processes in which effective outpatient care can help reduce the risks of hospitalization, at a second level of care. The objective of the study was to build and validate a Uruguayan list of health problems sensitive to outpatient care (PSS-CA) according to ICD-10. Methodology: To construct the initial list of PSSCA codes, a review of the existing lists was carried out and an initial list was proposed that was validated through the Delphi Method. A list of 99 PSSCA diagnostic codes adapted to our healthcare environment is proposed. They make it possible to identify and quantify health problems that can lead to potentially avoidable hospitalizations through accessible and timely outpatient care at the first level of care. Results: A panel of 12 experts was formed. From the data obtained, considering the 99 diagnoses classified by ICD-10, these can be subclassified depending on whether the pathology is infectious or not, obtaining a general result of 62 pathologies in a total of 99 that can be classified as infectious, which corresponds to 62%. Discussion: From the comparison of the Uruguayan list of PSSCA that we have arrived at and the validated lists used for the initial construction of the proposed list of pathologies, we can say that the first presents a higher percentage of coincidence with the list of pathologies of Bello Horizonte . We can mention that most of the health problems identified based on the PSSCA list are sensitive to being resolved with timely and quality primary care that could prevent or significantly reduce hospitalization. Conclusions: This work describes the process of construction and validation of a list of PSSCA codes adapted to the Uruguayan context through the Delphi method. We have arrived at a list that includes a total of 99 diagnoses, grouped into a total of nineteen categories that consider the specificity of the Uruguayan context of the indicator.

Introdução: As Internações por Condições Sensíveis à Atenção Ambulatorial são um indicador que mede a utilização de serviços hospitalares para problemas de saúde que poderiam ter sido evitados no primeiro nível de atenção. O conceito refere-se aos processos em que um atendimento ambulatorial eficaz pode auxiliar na redução dos riscos de internação, em um segundo nível de atenção. O objetivo do estudo foi construir e validar uma lista uruguaia de problemas de saúde sensíveis à atenção ambulatorial (PSS-CA) segundo a CID-10. Metodologia: Para construir a lista inicial de códigos PSSCA foi realizada uma revisão das listas existentes e foi proposta uma lista inicial que foi validada através do Método Delphi. É proposta uma lista de 99 códigos de diagnóstico PSSCA adaptados ao nosso ambiente de saúde. Permitem identificar e quantificar problemas de saúde que podem levar a hospitalizações potencialmente evitáveis ​​através de cuidados ambulatórios acessíveis e oportunos no primeiro nível de cuidados. Resultados: Foi formado um painel de 12 especialistas. A partir dos dados obtidos, considerando os 99 diagnósticos classificados pela CID-10, estes podem ser subclassificados consoante a patologia seja infecciosa ou não, obtendo-se um resultado geral de 62 patologias num total de 99 que podem ser classificadas como infecciosas, o que corresponde para 62%. Discussão: A partir da comparação da lista uruguaia de PSSCA a que chegamos e das listas validadas utilizadas para a construção inicial da lista de patologias proposta, podemos dizer que a primeira apresenta um maior percentual de coincidência com a lista de patologias de Belo Horizonte. Podemos mencionar que a maioria dos problemas de saúde identificados com base na lista PSSCA são sensíveis para serem resolvidos com cuidados primários oportunos e de qualidade que possam prevenir ou reduzir significativamente a hospitalização. Conclusões: Este trabalho descreve o processo de construção e validação de uma lista de códigos PSSCA adaptados ao contexto uruguaio através do método Delphi. Chegamos a uma lista que inclui um total de 99 diagnósticos, agrupados em um total de dezenove categorias que consideram a especificidade do contexto uruguaio do indicador.

Psychometric properties of the Spanish version of the Chalder Fatigue Scale in clinical and general populations / Propiedades psicométricas de la versión española de la Escala de Fatiga de Chalder en población clínica y general

Objetivo: La Escala de Fatiga de Chalder (CFS) es una escala breve para evaluar fatiga que se utiliza en España, pero que no ha sido validada en su población. El objetivo del estudio fue adaptar y evaluar las propiedades psicométricas de la versión española de la CFS (Sp-CFS). Método: La muestra la conformaron 3,671 participantes (3.190 de la población general y 481 pacientes), con edades entre 18 y 86 años (M = 28.43; DT = 12.71), siendo el 67.6% mujeres. Las propiedades psicométricas de la escala se probaron en un diseño transversal utilizando validación cruzada (análisis factorial exploratorio y confirmatorio) y estimación de la invarianza (sexo y condición clínica). Resultados: Un modelo de cuatro factores (baja energía, problemas de sueño, problemas de concentración y disfunción cognitiva subjetiva) en lugar de un modelo original de dos factores (fatiga física y mental) proporcionó mejores índices de bondad de ajuste a los datos. La consistencia interna y la estabilidad de la escala fueron excelentes. Su validez convergente se apoyó en su asociación significativa con la ansiedad, la depresión, el estrés y los síntomas positivos y negativos del espectro de la psicosis. El instrumento no mostró diferencias significativas entre sexos ni condiciones clínicas, y discriminó entre la población general y los pacientes, obteniendo estos últimos puntajes significativamente mayores. Conclusiones: Sp-CFS es una escala fiable y válida para medir la fatiga en población general y clínica española.(AU)

Objective:The Chalder Fatigue Scale (CFS) is a brief self-report screening scale for fatigue that is used in Spain but has not been validated for the Spanish population. The aim of this study was to adapt and evalu-ate the psychometric properties of the Spanish version of the CFS (Sp-CFS). Method:The sample consisted of 3,671 participants (3,190 from the general population and 481 patients), aged 18 to 86 years (M=28.43; DT=12.71), 67.6% of whom were women. Psychometric properties of the scale were tested in a cross-sectional design using cross-validation (explora-tory and confirmatory factor analysis) and estimation of invariance (sex and clinical condition). Results:A four-factor model (low energy, sleep problems, concentration problems and subjective cognitive dysfunction) rather than an original two-factor model (physical and mental fatigue) pro-vided better indices of goodness of fit to the data. The internal consistencyand stability of the scale were excellent. Its convergent validity was sup-ported by its significant association with anxiety, depression, stress, and the positive and negative symptoms of the psychosis spectrum. The instru-ment did not show significant differences between sexes or clinical condi-tions, and it discriminated between the general population and the patients, with the latter obtaining significantly greater scores. Conclusions: Sp-CFS is a reliable and valid scale for measuring a transdiagnostic construct such as fatigue in Spanish general and clinical populations.(AU)

A simple and rapid spectrophotometric method for the determination of trans-chalcone in raw-materialand topical formulation / Método espectrofotométrico simples e rápido paradeterminação de trans-chalcona em matéria-primae em formulação tópica

Trans-chalcone (TC) is a flavonoid precursor characterized by a wide spectrum of action, with anti-inflammatory and antioxidant effects. However, no validated methods are available in official compendia for the analysis of this substance. Thus, the aim of this work was to develop and validate a simple, fast, and reproducible spectrophotometric method for the analysis of TC in raw material, and in topical pharmaceutical formulation containing TC. The established conditions were: methanol as extracting solvent, and detection wavelength of 309 nm by UV spectrophotometer. All tests followed the rules of Resolution RDC 166, 2017. The proposed method was selective. Linearity was demonstrated in the concentration range of 1 to 8 µg/mL (r = 0.999). Repeatability and intermediate precision were confirmed by low relative standard deviation values of 1.53% and 2.70% for TC, and of 1.73% and 2.91% for formulation containing TC. Accuracy, evaluated through recovery test, was adequate, with minimum of 98.24% and maximum of 100.23% of recovery. It was observed that the small deliberate modifications done did not interfere with the results, demonstrating the method is robust. The results showed that the method was considered suitable for the intended purpose, inexpensive, easy to apply, selective, linear, precise, accurate, and robust for the determination TC, and pharmaceutical formulation containing TC. Thus, the method developed satisfies the need for an analytical method for the determination of TC, and topical formulation containing TC, being effective, innovative and able to aid in the development of the pharmaceutical field.

Trans-chalcona (TC) é um precursor de flavonoides caracterizado por um amplo espectro de ação, como efeitos anti-inflamatórios e antioxidantes. No entanto, não há método validado disponível em compêndio oficial para análise deste composto. Então, o objetivo deste trabalho foi desenvolver e validar um método espectrofotométrico, simples, rápido e reprodutível para análise de TC em matéria-prima, e em formulação farmacêutica tópica contendo TC. As condições estabelecidas foram: metanol como o solvente de extração, e detecção no comprimento de onda de 309 nm por espectrofotometria no UV. Todos os testes seguiram as normas da RDC 166, 2017. O método proposto foi seletivo. A linearidade foi demonstrada na faixa de concentração de 1 a 8 µg/mL (r = 0.999). A repetibilidade e a precisão intermediária foram confirmadas pelos valores baixos de desvio padrão relativo de 1,53% e 2,70% para a TC, e de 1,73% e 2,91% para a formulação contendo TC. A exatidão, avaliada por meio de testes de recuperação, foi adequada, com mínimo de 98,24% e máximo de 100,04% de recuperação. Observou-se que pequenas modificações no método não interferiram nos resultados, demonstrando que o método é robusto. Os resultados demonstraram que o método foi adequado para a finalidade pretendida, barato, de fácil aplicação, seletivo, linear, preciso, exato e robusto para determinação de TC, e de formulação contendo TC. Então o método desenvolvido satisfaz as necessidades de um método analítico para determinação de TC, e de formulação tópica contendo TC, e é eficaz, inovador e pode contribuir para o desenvolvimento da área farmacêutica.

Adaptación y validación del Voice Handicap Index y su versión abreviada al español rioplatense de Argentina

Objetivo: Este estudio tuvo como objetivo principal validar el Voice Handicap Index (VHI) y su versión abreviada (VHI-10) adaptados al español rioplatense de Argentina, con objetivos específicos centrados en evaluar su fiabilidad y validez. Metodología: La adaptación cultural incluyó técnicas de traducción directa, síntesis y retrotraducción, evaluación de la equivalencia semántica y aplicación a un grupo piloto. Para la validación se evaluó la fiabilidad de ambos índices adaptados mediante la consistencia interna (coeficiente alfa de Cronbach) y la estabilidad test-retest (prueba de Bland-Altman, CCI y r de Spearman). Además, se examinó la validez de criterio y de constructo. 213 sujetos participaron en la validación del índice adaptado de 30 ítems (123 disfónicos; 90 de control); 113, en la del índice abreviado (63 disfónicos; 50 de control). Resultados: Se constituyó el Índice de Desventaja Vocal (IDV) como la versión adaptada del VHI al español rioplatense de Argentina. Ambos índices demostraron excelente consistencia interna (IDV-30 α = 0,96; IDV-10 α = 0,92) y estabilidad y concordancia (IDV-30 CCI = 0,95; IDV-10 CCI = 0,96). Se halló alta correlación entre los puntajes de ambos índices y la autoevaluación de la severidad de la disfonía de los participantes (r = 0,85). Ambos índices demostraron capacidad de diferenciar entre individuos con disfonía y sujetos sanos (p< 0,001). El análisis factorial reveló tres factores para el IDV-30 y un factor para el IDV-10. Conclusiones: El IDV-30 e IDV-10 presentan grados adecuados de fiabilidad y validez. Ambos pueden ser incluidos en protocolos de valoración de la función vocal por profesionales de Argentina.

Aim: This study aimed to validate the Voice Handicap Index (VHI) and its abbreviated version (VHI-10) adapted into Rioplatense Spanish from Argentina, with specific goals centered on assessing their reliability and validity. Methods: Cultural adaptation involved direct translation, synthesis and back-translation techniques, followed by an assessment of semantic equivalence and application to a pilot group. For the validation process, the reliability of both adapted indices was assessed through measures of internal consistency (Cronbach's alpha coefficient) and test-retest stability (Bland-Altman test, ICC and Spearman's correlation coefficient). Additionally, we conducted analyses to asses criterion and construct validity. 213 subjects participated in the validation of the adapted 30-items index, (123 with dysphonia; 90 from control group); 113, in the abbreviated version (63 with dysphonia; 50 from control group). Results: The "Índice de Desventaja Vocal" (IDV) was established as the adapted version of the VHI into Rioplatense Spanish from Argentina. Both indeces exhibited excellent internal consistency (IDV-30 α = 0,96; IDV-10 α = 0,92) and satisfactory stability and agreement (IDV-30 CCI = 0,95; IDV-10 CCI = 0,96). Regarding validity, a strong correlation was observed between the scores of both indeces and the participant's self-assessment of dysphonia degree (r = 0,85). Both indices effectively differentiated between individuals with dysphonia and healthy subjects (p< 0,001). Factor analysis revealed three factors for the IDV-30 and one factor for the IDV-10. Conclusion: The IDV-30 and IDV-10 demonstrate satisfactory levels of reliability and validity. Both indices can be incorporated into the assessment protocols for evaluating the vocal function by professionals in Argentina.

Validation of the German long and short versions of the UPPS-P Impulsive Behavior Scale.

OBJECTIVE: The UPPS-P Impulsive Behavior Scale is a widely used self-report measure of impulsivity, but there is currently no validated German version that includes the Positive Urgency scale. METHODS: We combined existing German translations of UPPS scales and included the Positive Urgency dimension to validate the UPPS-P in a sample of 399 participants. In addition, we developed a revised short version of the UPPS-P (SUPPS-P) with 20 items and conducted a confirmatory factor analysis (CFA) to verify the structure in an independent validation sample with 349 participants. To determine evidence of convergent and discriminant validity, we used measures of impulsivity, depression, anxiety, stress, problematic alcohol and substance use. RESULTS: CFA of the five factorial structure of the UPPS-P demonstrated acceptable fits and evidence of validity and reliability for the subscales. Psychometric characteristics of the SUPPS-P using the original item configuration were not satisfactory. As a result, we developed a revised German version of the SUPPS-P and confirmed the five-factor structure using a CFA in the validation sample. For the revised version, model fits and evidence of validity and internal consistencies were good. Associations with other constructs were as expected. For example, whereas Sensation Seeking was associated moderately with problematic alcohol use, lacking associations of Lack of Premeditation to internalizing symptoms showed evidence of discriminant validity. DISCUSSION: The German translations of both UPPS-P and SUPPS-P are valid tools for measuring impulsive behaviors. They are well-suited for exploring the associations between different facets of impulsivity and psychopathological phenomena.

An optimised and validated surrogate analyte A-TEEM-PARAFAC-PLS technique for detecting and quantifying the biological oxygen demand in surface water.

A 5-day test duration makes BOD5 measurement unsatisfactory and hinders the development of a quick technique. Protein-like fluorescence peaks show a strong correlation between the BOD characteristics and the fluorescence intensities. For identifying and measuring BOD in surface water, a simultaneous absorbance-transmittance and fluorescence excitation-emission matrices (A-TEEM) method combined with PARAFAC (parallel factor) and PLS (partial least squares) analyses was developed using a tyrosine and tryptophan (tyr-trpt) mix as a surrogate analyte for BOD. The use of a surrogate analyte was decided upon due to lack of fluorescent BOD standards. Tyr-trpt mix standard solutions were added to surface water samples to prepare calibration and validation samples. PARAFAC analysis of excitation-emission matrices detected the tyr-trpt mix in surface water. PLS modelling demonstrated significant linearity (R2 = 0.991) between the predicted and measured tyr-trypt mix concentrations, and accuracy and robustness were all acceptable per the ICH Q2 (R2) and ASTM multivariate calibration/validation procedures guidelines. Based on a suitable and workable surrogate analyte method, these results imply that BOD can be detected and quantified using the A-TEEM-PARAFAC-PLS method. Very positive comparability between tyr-trypt mix concentrations was found, suggesting that tyr-trypt mix might eventually take the place of a BOD-based sampling protocol. Overall, this approach offers a novel tool that can be quickly applied in water treatment plant settings and is a step in supporting the trend toward rapid BOD determination in waters. Further studies should demonstrate the wide application of the method using real wastewater samples from various water treatment facilities.

Medication Literacy Test for Older Adults: psychometric analysis and standardization of the new instrument.

BACKGROUND: Low medication literacy is prevalent among older adults and is associated with adverse drug events. The Medication Literacy Test for Older Adults (TELUMI) was developed and content validated in a previously published study. AIM: To evaluate the psychometric properties and provide norms for TELUMI scores. METHOD: This was a cross-sectional methodological study with older adults selected from the community and from two outpatient services. Descriptive item-analysis, exploratory factor analysis (EFA), item response theory (IRT), reliability, and validity analysis with schooling and health literacy were performed to test the psychometric properties of the TELUMI. The classification of the TELUMI scores was performed using percentile norms. RESULTS: A total of 344 participants, with a mean age of 68.7 years (standard deviation = 6.7), were included; most were female (66.6%), black/brown (61.8%), had low schooling level (60.2%) and low income (55.2%). The EFA pointed to the one-dimensional structure of TELUMI. A three-parameter logistic model was adopted for IRT. All items had an adequate difficulty index. One item had discrimination < 0.65, and three items had an unacceptable guessing index (< 0.35) and were excluded. The 29-item version of TELUMI had excellent internal consistency (KR20 = 0.89). There was a positive and strong association between TELUMI scores and health literacy and education level. The scores were classified as inadequate medication literacy (≤ 10.0 points), medium medication literacy (11-20 points), and adequate medication literacy (≥ 21 points). CONCLUSION: The results suggest that the 29-item version of TELUMI is psychometrically adequate for measuring medication literacy in older adults.

Clinical validation of the Ion Torrent Oncomine Myeloid Assay GX v2 on the Genexus Integrated Sequencer as a stand-alone assay for single-nucleotide variants, insertions/deletions, and fusion genes: Challenges, performance, and perspectives.

OBJECTIVES: Myeloid neoplasms require comprehensive characterization of genetic abnormalities, including single-nucleotide variants, small insertions and deletions, and fusions and translocations for management. The Oncomine Myeloid Assay GX v2 (Thermo Fisher Scientific) analyzes 17 full genes, 28 hotspot genes, 30 fusion driver genes, and 5 expression genes. METHODS: The validation set included 192 DNA samples, 28 RNA samples, and 9 cell lines and contrived controls. The DNA and RNA were extracted from both peripheral blood and bone marrow. Library preparation, templating, and sequencing was performed on the fully automated Genexus Integrated Sequencer (Thermo Fisher Scientific). The sequencing data were analyzed by manual curation, default Oncomine filters and the Oncomine Reporter (Thermo Fisher Scientific). RESULTS: Of the 600 reference pathogenic DNA variants targeted by the assay, concordance was seen in 98.3% of unfiltered variant call format files. Precision and reproducibility were 100%, and the lower limit of detection was 2% variant allele frequency for DNA. Inability to detect variants in long homopolymer regions intrinsic to the Ion Torrent chemistry led to 7 missed variants; 100% concordance was seen with reference RNA samples. CONCLUSIONS: This extensive clinical validation of the Oncomine Myeloid Assay GX v2 on the Genexus Integrated Sequencer with its built-in bioinformatics pipeline and Ion Torrent Oncomine Reporter shows robust performance in terms of variant calling accuracy, precision, and reproducibility, with the advantage of a rapid turnaround time of 2 days. The greatest limitation is the inability to detect variants in long homopolymer regions.

Preliminary validation of the Norwegian version of the Berlin Misophonia Questionnaire Revised (BMQ-R-NOR).

OBJECTIVE: To perform a psychometric evaluation of a Norwegian version of the Berlin Misophonia Questionnaire Revised (BMQ-R-NOR). DESIGN: Participants completed online versions of the self-report questionnaire BMQ-R-NOR on two occasions and MQ-NOR on one occasion. Convergent validity was assessed through Spearman's correlation between BMQ-R-NOR and MQ-NOR. Internal consistency was evaluated with McDonald's omega and Cronbach's alpha. Test-retest reliability was evaluated using Cohen's weighted kappa and intraclass correlation. STUDY SAMPLE: 82 participants with self-reported misophonia took part in the study at T1, and 53 of these participated at T2. However, only 41 of them were included in the test-retest analyses due to 12 participants being in treatment between T1 and T2. RESULTS: Subscales from the BMQ-R-NOR and MQ-NOR were significantly positively correlated, indicating evidence of convergent validity (rs = 0.22*-0.74**). The BMQ-R-NOR showed overall good internal consistency (omega = 0.72-0.93; alpha = 0.70-0.93) and satisfactory test-retest reliability (ICC = 0.35-0.92). CONCLUSION: The psychometric properties of the BMQ-R-NOR are considered satisfactory. However, it is advised to exercise caution when using it until further comprehensive validation studies are conducted to ensure robustness and reliability in clinical practice.

A Machine Learning Application to Classify Patients at Differing Levels of Risk of Opioid Use Disorder: Clinician-Based Validation Study.

Background: Despite restrictive opioid management guidelines, opioid use disorder (OUD) remains a major public health concern. Machine learning (ML) offers a promising avenue for identifying and alerting clinicians about OUD, thus supporting better clinical decision-making regarding treatment. Objective: This study aimed to assess the clinical validity of an ML application designed to identify and alert clinicians of different levels of OUD risk by comparing it to a structured review of medical records by clinicians. Methods: The ML application generated OUD risk alerts on outpatient data for 649,504 patients from 2 medical centers between 2010 and 2013. A random sample of 60 patients was selected from 3 OUD risk level categories (n=180). An OUD risk classification scheme and standardized data extraction tool were developed to evaluate the validity of the alerts. Clinicians independently conducted a systematic and structured review of medical records and reached a consensus on a patient's OUD risk level, which was then compared to the ML application's risk assignments. Results: A total of 78,587 patients without cancer with at least 1 opioid prescription were identified as follows: not high risk (n=50,405, 64.1%), high risk (n=16,636, 21.2%), and suspected OUD or OUD (n=11,546, 14.7%). The sample of 180 patients was representative of the total population in terms of age, sex, and race. The interrater reliability between the ML application and clinicians had a weighted kappa coefficient of 0.62 (95% CI 0.53-0.71), indicating good agreement. Combining the high risk and suspected OUD or OUD categories and using the review of medical records as a gold standard, the ML application had a corrected sensitivity of 56.6% (95% CI 48.7%-64.5%) and a corrected specificity of 94.2% (95% CI 90.3%-98.1%). The positive and negative predictive values were 93.3% (95% CI 88.2%-96.3%) and 60.0% (95% CI 50.4%-68.9%), respectively. Key themes for disagreements between the ML application and clinician reviews were identified. Conclusions: A systematic comparison was conducted between an ML application and clinicians for identifying OUD risk. The ML application generated clinically valid and useful alerts about patients' different OUD risk levels. ML applications hold promise for identifying patients at differing levels of OUD risk and will likely complement traditional rule-based approaches to generating alerts about opioid safety issues.

The Status Importance Scale: Development and validation of a self-report questionnaire for measuring how much people care about status.

Although substantial research indicates that considerations about status can lead to anxiety and other negative outcomes, a valid measure of the importance individuals attribute to status is lacking. This paper introduces the Status Importance Scale (SIS), a mono-factorial 10-item self-report questionnaire that quantifies how important a person deems status to be. Five studies validate the scale showing that it has excellent internal reliability and acceptable test-retest reliability, it correlates with several related measures (supporting convergent validity), it shows little correlation with theoretically unrelated constructs (supporting discriminant validity), it is the best predictor of conspicuous consumption compared with other potential candidates (supporting concurrent validity), and it can help predicting which activities one gives importance to (further supporting concurrent validity). Finally, as hypothesized by previous literature, the last study reveals that the SIS can predict status anxiety. The SIS can contribute to research regarding important phenomena such as the detrimental psychological effects of income inequality.

Development and validation of an ELISA to measure regenerating island-derived protein 3E in canine blood.

BACKGROUND: Regenerating island-derived proteins (REG) are upregulated in people with sepsis, pancreatitis, and gastrointestinal diseases. One member of the REG family, namely REG3E, was recently identified in pancreatic tissue and plasma of dogs, with high expression in pancreatitis and sepsis. OBJECTIVES: We aimed to develop and validate an ELISA to measure REG3E concentrations in canine blood. METHODS: An indirect sandwich ELISA was developed using recombinant canine REG3E protein and polyclonal anti-canine REG3E antibodies raised in guinea pigs and rabbits. Antibody specificity was assessed using western blot and mass spectrometric analysis of protein purified from canine plasma. Assay validation included evaluation of dilutional linearity, parallelism, spiking recovery, repeatability and reproducibility, stability, interferences, and comparison of serum and heparinized plasma. RESULTS: Antibodies bound specifically to REG3E with no evidence of cross-reactivity with other proteins. The limit of detection of the ELISA was 15 ng/mL, and the lower limit of quantification was 30 ng/mL. The assay demonstrated good to excellent linearity, dilutional and mixing parallelism, and recovery, with mean observed-to-expected ratios of 104%, 107%, 102%, and 92%, respectively, and no evidence of a hook effect. Coefficients of variation were ≤8.5% for repeatability and ≤14.3% for reproducibility at three different levels. Measurements of REG3E in plasma were not significantly influenced by different storage conditions, freeze-thawing cycles, hemolysis, lipemia, or icterus. There was no significant difference between REG3E concentrations in heparinized plasma and serum samples. CONCLUSIONS: The canine REG3E ELISA has acceptable precision, accuracy, linearity, and reproducibility for the measurement of REG3E in canine plasma and serum.

English Translation of the Breastfeeding Knowledge Survey for Pediatricians.

Pediatricians need to be knowledgeable to adequately carry out their role in the support of breastfeeding, so assessing their knowledge of breastfeeding is vitally important. There are not English language validated questionnaires for pediatricians in the literature; however, in Spanish and Portuguese, there is the Breastfeeding Knowledge Survey (ECoLa, derived from Encuesta de Conocimientos en Lactancia). Our goal is to translate the ECoLa into English. The original survey consisted of true/false questions, including one with an image of a breastfeeding baby, multiple-choice questions featuring clinical cases, and two open-ended short questions. We used a translation approach that incorporated both forward and backward translations and a multidisciplinary committee to evaluate the translation process. During translation, four Spanish versions and seven English versions were considered prior to consensus approval of the final survey. The intraclass correlation coefficient between the English questionnaire and the original Spanish version was 0.85 (95% CI [0.60, 0.95]). A sample of 51 participants completed the survey, resulting in a Cronbach's alpha of 0.78 for the English version (95% CI [0.70, 0.86]). The Breastfeeding Knowledge Survey is now accessible under a Creative Commons license, permitting its free re-use.

Validation of a clinical breast cancer risk assessment tool combining a polygenic score for all ancestries with traditional risk factors.

PURPOSE: We previously described a combined risk score (CRS) that integrates a multiple-ancestry polygenic risk score (MA-PRS) with the Tyrer-Cuzick (TC) model to assess breast cancer (BC) risk. Here, we present a longitudinal validation of CRS in a real-world cohort. METHODS: This study included 130,058 patients referred for hereditary cancer genetic testing and negative for germline pathogenic variants in BC-associated genes. Data were obtained by linking genetic test results to medical claims (median follow-up 12.1 months). CRS calibration was evaluated by the ratio of observed to expected BCs. RESULTS: Three hundred forty BCs were observed over 148,349 patient-years. CRS was well-calibrated and demonstrated superior calibration compared with TC in high-risk deciles. MA-PRS alone had greater discriminatory accuracy than TC, and CRS had approximately 2-fold greater discriminatory accuracy than MA-PRS or TC. Among those classified as high risk by TC, 32.6% were low risk by CRS, and of those classified as low risk by TC, 4.3% were high risk by CRS. In cases where CRS and TC classifications disagreed, CRS was more accurate in predicting incident BC. CONCLUSION: CRS was well-calibrated and significantly improved BC risk stratification. Short-term follow-up suggests that clinical implementation of CRS should improve outcomes for patients of all ancestries through personalized risk-based screening and prevention.

Translation, Cross-Cultural Adaptation, and Psychometric Properties of the Revised Fibromyalgia Impact Questionnaire (FIQR) for Use in Arabic-Speaking Patients in Saudi Arabia.

Background/Aim: Fibromyalgia (FM) is a complex and debilitating condition that significantly impacts patients' daily lives. The continuous assessment of the impact and severity of FM is essential to manage the condition effectively. Assessment tools in Arabic are lacking for use in Saudi Arabia, which might lead to ineffective management. This study aimed to translate and cross-culturally adapt and validate the Arabic version of the Revised Fibromyalgia Impact Questionnaire (FIQR). Methods: Following translation guidelines, 2 Arabic translators and 2 English-certified translators performed forward and backward translations of the FIQR. In a cross-sectional study design, the questionnaire was piloted with 5 participants and then subjected to cognitive interviews and psychometric analysis. Participants were FM patients recruited from a University Hospital in Riyadh and FM support groups in Saudi Arabia. The internal consistency, and reliability using the Cronbach α and interclass correlation coefficient (ICC) of 2-week test-retest, and criterion validity were evaluated. Results: The results included a total of 42 participants with FM. Six minor modifications were made during the stepwise translation of the questionnaire. The Arabic version of the FIQR had good internal consistency and test-retest reliability, with a Cronbach α of 0.855 for the physical functioning domain, 0.663 for overall well-being, 0.803 for symptoms, and 0.895 for the total FIQR, and the Pearson correlation coefficient of the ICC for physical functioning was 0.769 (95% confidence interval (CI), 0.541-0.884) for the overall well-being domain, 0.555 (95% CI, 0.129-0.772) for the symptoms domain, and 0.720 (95% CI, 0.370-0.868) and 0.794 (95% CI, 0.579-0.899) for the total FIQR score (p < 0.001), respectively. Conclusion: The Arabic version of the FIQR is a valid, reliable, and practical tool for assessing the impact of FM on Arabic-speaking patients and potentially contributing to the improvement of FM outcomes.

The Investigating Image Registration Accuracy and Contour Propagation for Adaptive Radiotherapy Purposes in Line with the Task Group No. 132 Recommendation.

Purpose: Image registration is a crucial component of the adaptive radiotherapy workflow. This study investigates the accuracy of the deformable image registration (DIR) and contour propagation features of SmartAdapt, an application in the Eclipse treatment planning system (TPS) version 16.1. Materials and Methods: The registration accuracy was validated using the Task Group No. 132 (TG-132) virtual phantom, which features contour evaluation and landmark analysis based on the quantitative criteria recommended in the American Association of Physicists in Medicine TG-132 report. The target registration error, Dice similarity coefficient (DSC), and center of mass displacement were used as quantitative validation metrics. The performance of the contour propagation feature was evaluated using clinical datasets (head and neck, pelvis, and chest) and an additional four-dimensional computed tomography (CT) dataset from TG-132. The primary planning and the second CT images were appropriately registered and deformed. The DSC was used to find the volume overlapping between the deformed contours and the radiation oncologist (RO)-drawn contour. The clinical value of the DIR-generated structure was reviewed and scored by an experienced RO to make a qualitative assessment. Results: The registration accuracy fell within the specified tolerances. SmartAdapt exhibited a reasonably propagated contour for the chest and head-and-neck regions, with DSC values of 0.80 for organs at risk. Misregistration is frequently observed in the pelvic region, which is specified as a low-contrast region. However, 78% of structures required no modification or minor modification, demonstrating good agreement between contour comparison and the qualitative analysis. Conclusions: SmartAdapt has adequate efficiency for image registration and contour propagation for adaptive purposes in various anatomical sites. However, there should be concern about its performance in regions with low contrast and small volumes.

Artificial Intelligence Applied to Forced Spirometry in Primary Care.

Introduction: This study aims to create an artificial intelligence (AI) based machine learning (ML) model capable of predicting a spirometric obstructive pattern using variables with the highest predictive power derived from an active case-finding program for COPD in primary care. Material and methods: A total of 1190 smokers, aged 30-80 years old with no prior history of respiratory disease, underwent spirometry with bronchodilation. The sample was analyzed using AI tools. Based on an exploratory data analysis (EDA), independent variables (according to mutual information analysis) were trained using a gradient boosting algorithm (GBT) and validated through cross-validation. Results: With an area under the curve close to unity, the model predicted a spirometric obstructive pattern using variables with the highest predictive power: FEV1_theoretical_pre values. Sensitivity: 93%. Positive predictive value: 94%. Specificity: 97%. Negative predictive value: 96%. Accuracy: 95%. Precision: 94%. Conclusion: An ML model can predict the presence of an obstructive pattern in spirometry in a primary care smoking population with no prior diagnosis of respiratory disease using the FEV1_theoretical_pre values with an accuracy and precision exceeding 90%. Further studies including clinical data and strategies for integrating AI into clinical workflow are needed.

Introducción: Este estudio tiene como objetivo crear un modelo de aprendizaje automático (ML) basado en inteligencia artificial (IA) capaz de predecir un patrón obstructivo espirométrico utilizando variables con el mayor poder predictivo derivado de un programa activo de búsqueda de casos de enfermedad pulmonar obstructiva crónica (EPOC) en Atención Primaria. Materiales y métodos: Un total de 1.190 fumadores, de entre 30 y 80 años, sin antecedentes de enfermedad respiratoria, fueron sometidos a espirometría con IA artificial. Sobre la base de un análisis de datos exploratorio (EDA), las variables independientes (según el análisis de información mutua) se entrenaron utilizando un algoritmo de gradiente de aumento (GBT) y se validaron mediante validación cruzada. Resultados: Con un área bajo la curva cercana a la unidad, el modelo predijo un patrón obstructivo espirométrico utilizando los valores del FEV1 prebroncodilatador. Sensibilidad: 93%. Valor predictivo positivo: 94%. Especificidad: 97%. Valor predictivo negativo: 96%. Precisión: 95%. Precisión: 94%. Conclusión: Un modelo ML puede predecir la presencia de un patrón obstructivo en la espirometría en una población fumadora de atención primaria sin diagnóstico previo de enfermedad respiratoria utilizando los valores FEV1 prebroncodilatadores con una exactitud y precisión superiores al 90%. Se necesitan más estudios que incluyan datos clínicos y estrategias para integrar la IA en el flujo de trabajo clínico.

Validation and implementation of telecytology at an academic medical center using digital cameras and Microsoft Teams software.

INTRODUCTION: Rapid On-Site Evaluation of cytological samples obtained through fine needle aspiration for adequacy is a critical component of a cytology service; however, it imposes a significant time and cost burden for the practicing pathologist and the cytology service. Telecytology enables adequacy assessment by a pathologist remotely, greatly saving time. Telecytology also allows slide preparation and manipulation at the procedure site by an employee with less training requirements, liberating the cytotechnologist to screen cases and perform other laboratory duties - an important aspect to consider during times of cytotechnologist shortages. We propose a telecytology system with a simple setup of a microscope, microscope camera, laptop, and Microsoft Teams software. MATERIALS AND METHODS: We designed a system consisting of a mobile cart, backup battery, microscope, digital camera, and a laptop computer with microscope imaging software and Microsoft Teams software for image transmission. Validation was performed by 4 pathologists making adequacy assessments on randomly selected previously signed out cases using the telecytology system. RESULTS: Our validation of this system demonstrated a greater than 90% concurrence rate between the original adequacy call and the call made by pathologists using the telecytology system - a benchmark used by most, if not all, published validations of similar telecytology systems. In addition, the adequacy assessment concordance rate between select pathologists exceeded 90%. CONCLUSIONS: In summary, our telecytology system provides excellent adequacy services for the clinicians and patients we serve. The Microsoft Teams software is a great tool for transmission of video microscopy. This system will be used with the goal of saving time and increasing efficiency for the cytopathology department.

Oxidative status: A general but overlooked indicator of welfare across animal species?

Because of their ubiquity, plasticity, and direct effects on the nervous system, markers of oxidative status may be of great value to assess animal welfare across species and conditions in the wild. However, welfare biologists have not yet seized this opportunity, possibly because the validity of these markers as welfare indicators remains questionable. A validation process was, therefore, performed here using a meta-analytical approach considering three conditions assumed to impair the welfare of animals. With very few exceptions, two of the four considered markers consistently varied across these negatively-valenced conditions. By highlighting the current underrepresentation of markers of oxidative status in animal welfare studies, and by concretely illustrating that some of these markers can consistently reflect negative affective states, this article aims to encourage biologists to include these physiological markers in their toolbox to better measure, monitor, and perhaps also improve the welfare of animals in their natural habitat.

Constructing and validating a predictive nomogram for osteoporosis risk among Chinese single-center male population using the systemic immune-inflammation index.

Osteoporosis (OP) is a bone metabolism disease that is associated with inflammatory pathological mechanism. Nonetheless, rare studies have investigated the diagnostic effectiveness of immune-inflammation index in the male population. Therefore, it is interesting to achieve early diagnosis of OP in male population based on the inflammatory makers from blood routine examination. We developed a prediction model based on a training dataset of 826 Chinese male patients through a retrospective study, and the data was collected from January 2022 to May 2023. All participants underwent the dual-energy X-ray absorptiometry (DXEA) and blood routine examination. Inflammatory markers such as systemic immune-inflammation index (SII) and platelet-to-lymphocyte ratio (PLR) was calculated and recorded. We utilized the least absolute shrinkage and selection operator (LASSO) regression model to optimize feature selection. Multivariable logistic regression analysis was applied to construct a predicting model incorporating the feature selected in the LASSO model. This predictive model was displayed as a nomogram. Receiver operating characteristic (ROC) curve, C-index, calibration curve, and clinical decision curve analysis (DCA) to evaluate model performance. Internal validation was test by the bootstrapping method. This study was approved by the Ethic Committee of the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine (Ethic No. JY2023012) and conducted in accordance with the relevant guidelines and regulations. The predictive factors included in the prediction model were age, BMI, cardiovascular diseases, cerebrovascular diseases, neuropathy, thyroid diseases, fracture history, SII, PLR, C-reactive protein (CRP). The model displayed well discrimination with a C-index of 0.822 (95% confidence interval: 0.798-0.846) and good calibration. Internal validation showed a high C-index value of 0.805. Decision curve analysis (DCA) showed that when the threshold probability was between 3 and 76%, the nomogram had a good clinical value. This nomogram can effectively predict the incidence of OP in male population based on SII and PLR, which would help clinicians rapidly and conveniently diagnose OP with men in the future.