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)

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.

Surveillance of catheter-associated bloodstream infections: development and validation of a fully automated algorithm.

BACKGROUND: Most surveillance systems for catheter-related bloodstream infections (CRBSI) and central line-associated bloodstream infections (CLABSI) are based on manual chart review. Our objective was to validate a fully automated algorithm for CRBSI and CLABSI surveillance in intensive care units (ICU). METHODS: We developed a fully automated algorithm to detect CRBSI, CLABSI and ICU-onset bloodstream infections (ICU-BSI) in patients admitted to the ICU of a tertiary care hospital in Switzerland. The parameters included in the algorithm were based on a recently performed systematic review. Structured data on demographics, administrative data, central vascular catheter and microbiological results (blood cultures and other clinical cultures) obtained from the hospital's data warehouse were processed by the algorithm. Validation for CRBSI was performed by comparing results with prospective manual BSI surveillance data over a 6-year period. CLABSI were retrospectively assessed over a 2-year period. RESULTS: From January 2016 to December 2021, 854 positive blood cultures were identified in 346 ICU patients. The median age was 61.7 years [IQR 50-70]; 205 (24%) positive samples were collected from female patients. The algorithm detected 5 CRBSI, 109 CLABSI and 280 ICU-BSI. The overall CRBSI and CLABSI incidence rates determined by automated surveillance for the period 2016 to 2021 were 0.18/1000 catheter-days (95% CI 0.06-0.41) and 3.86/1000 catheter days (95% CI: 3.17-4.65). The sensitivity, specificity, positive predictive and negative predictive values of the algorithm for CRBSI, were 83% (95% CI 43.7-96.9), 100% (95% CI 99.5-100), 100% (95% CI 56.5-100), and 99.9% (95% CI 99.2-100), respectively. One CRBSI was misclassified as an ICU-BSI by the algorithm because the same bacterium was identified in the blood culture and in a lower respiratory tract specimen. Manual review of CLABSI from January 2020 to December 2021 (n = 51) did not identify any errors in the algorithm. CONCLUSIONS: A fully automated algorithm for CRBSI and CLABSI detection in critically-ill patients using only structured data provided valid results. The next step will be to assess the feasibility and external validity of implementing it in several hospitals with different electronic health record systems.

Development of a validated assessment tool for medical students using simulated patients: an 8-year panel survey.

BACKGROUND: The use of simulated patients (SPs) to assess medical students' clinical performance is gaining prominence, underscored by patient safety perspective. However, few reports have investigated the validity of such assessment. Here, we examined the validity and reliability of an assessment tool that serves as a standardized tool for SPs to assess medical students' medical interview. METHODS: This longitudinal survey was conducted at Keio University School of Medicine in Japan from 2014 to 2021. To establish content validity, the simulated patient assessment tool (SPAT) was developed by several medical education specialists from 2008 to 2013. A cohort of 36 SPs assessed the performance of 831 medical students in clinical practice medical interview sessions from April 2014 to December 2021. The assessment's internal structure was analyzed using descriptive statistics (maximum, minimum, median, mean, and standard deviation) for the SPAT's 13 item total scores. Structural validity was examined with exploratory factor analysis, and internal consistency with Cronbach's alpha coefficients. The mean SPAT total scores across different SPs and scenarios were compared using one way analysis of variance (ANOVA). Convergent validity was determined by correlating SPAT with the post-clinical clerkship obstructive structured clinical examination (post-CC OSCE) total scores using Pearson's correlation coefficient. RESULTS: Of the 831 assessment sheets, 36 with missing values were excluded, leaving 795 for analysis. Thirty-five SPs, excluding one SP who quit in 2014, completed 795 assessments, for a response rate of 95.6%. Exploratory factor analysis revealed two factors, communication and physician performance. The overall Cronbach's alpha coefficient was 0.929. Significant differences in SPAT total scores were observed across SPs and scenarios via one-way ANOVA. A moderate correlation (r =.212, p <.05) was found between SPAT and post-CC OSCE total scores, indicating convergent validity. CONCLUSIONS: Evidence for the validity of SPAT was examined. These findings may be useful in the standardization of SP assessment of the scenario-based clinical performance of medical students.

A framework for leveraging network course-based undergraduate research experience (CURE) faculty to develop, validate, and administer an assessment instrument.

Over the last several years, nationally disseminated course-based undergraduate research experiences (CUREs) have emerged as an alternative to developing a novel CURE from scratch, but objective assessment of these multi-institution (network) CUREs across institutions is challenging due to differences in student populations, instructors, and fidelity of implementation. The time, money, and skills required to develop and validate a CURE-specific assessment instrument can be prohibitive. Here, we describe a co-design process for assessing a network CURE [the Prevalence of Antibiotic Resistance in the Environment (PARE)] that did not require support through external funding, was a relatively low time commitment for participating instructors, and resulted in a validated instrument that is usable across diverse PARE network institution types and implementation styles. Data collection efforts have involved over two dozen unique institutions, 42 course offerings, and over 1,300 pre-/post-matched assessment record data points. We demonstrated significant student learning gains but with small effect size in both content and science process skills after participation in the two laboratory sessions associated with the core PARE module. These results show promise for the efficacy of short-duration CUREs, an educational research area ripe for further investigation, and may support efforts to lower barriers for instructor adoption by leveraging a CURE network for developing and validating assessment tools.

Quantification of left ventricular myocardial strain: Comparison between MRI tagging, MRI feature tracking, and ultrasound speckle tracking.

Ultrasound speckle tracking is frequently used to quantify myocardial strain, and magnetic resonance imaging (MRI) feature tracking is rapidly gaining interest. Our aim is to validate cardiac MRI feature tracking by comparing it with the gold standard method (i.e., MRI tagging) in healthy subjects and patients. Furthermore, we aim to perform an indirect validation by comparing ultrasound speckle tracking with MRI feature tracking. Forty-two subjects (17 formerly preeclamptic women, three healthy women, and 22 left bundle branch block patients of both sexes) received 3-T cardiac MRI and echocardiography. Cine and tagged MRI, and B-mode ultrasound images, were acquired. Intrapatient global and segmental left ventricular circumferential (MRI tagging vs. MRI feature tracking) and longitudinal (MRI feature tracking vs. ultrasound speckle tracking) peak strain and time to peak strain were compared between the three techniques. Intraclass correlation coefficient (ICC) (< 0.50 = poor, 0.50-0.75 = moderate, > 0.75-0.90 = good, > 0.90 = excellent) and Bland-Altman analysis were used to assess correlation and bias; p less than 0.05 indicates a significant ICC or bias. Global peak strain parameters showed moderate-to-good correlations between methods (ICC = 0.71-0.83, p < 0.01) with no significant biases. Global time to peak strain parameters showed moderate-to-good correlations (ICC = 0.56-0.82, p < 0.01) with no significant biases. Segmental peak strains showed significant biases in all parameters and moderate-to-good correlation (ICC = 0.62-0.77, p < 0.01), except for lateral longitudinal peak strain (ICC = 0.23, p = 0.22). Segmental time to peak strain parameters showed moderate-to-good correlation (ICC = 0.58-0.74, p < 0.01) with no significant biases. MRI feature tracking is a valid method to examine myocardial strain, but there is bias in absolute segmental strain values between imaging techniques. MRI feature tracking shows adequate comparability with ultrasound speckle tracking.

Measuring General Health Literacy in Chinese adults: validation of the HLS19-Q12 instrument.

BACKGROUND: Health literacy measurement lays a solid foundation to identify associations with health outcomes and monitor population health literacy levels over time. In mainland China, most existing health literacy instruments are either knowledge-based or practice-based, making health literacy results incomparable between China and other countries. This study aimed to examine the reliability and validity of the 12-item Health Literacy Population Survey (HLS19-Q12) in a general population of Chinese adults. METHODS: A cross-sectional study was conducted to recruit primary carers of students from 11 schools in Zhengzhou, Henan Province, using convenience cluster sampling. Participants completed an online self-administered survey that collected information on key sociodemographics, health literacy (HLS19-Q12 and a comparison tool: Health Literacy Questionnaire (HLQ)), and health-related outcomes. Using the COnsensus-based Standards for the selection of health status Measurement Instruments (COSMIN) checklist as a guideline, we tested internal consistency, test-retest reliability, content validity, structural validity, concurrent predictive validity, and convergent validity of the HLS19-Q12. RESULTS: Overall, 14,184 participants completed the full survey. The HLS19-Q12 showed excellent internal consistency (Cronbach's α = 0.93), moderate test-retest reliability (intra-class correlation coefficient = 0.54), satisfactory content validity (based on the 12-matrix health literacy model), and strong structural validity (comparative fit index = 0.94, Tucker and Lewis's index of fit = 0.93, root mean square error of approximation = 0.095). Concurrent predictive validity results showed health literacy was associated with both health determinants and health-related outcomes. The HLS19-Q12 had weak to strong correlations (coefficients = 0.24 to 0.42) with the nine scales of the HLQ. Respondents had an average score of 81.6 (± 23.0) when using the HLS19-Q12, with 35.0% and 7.5% having problematic and inadequate levels of health literacy, respectively. CONCLUSIONS: The HLS19-Q12 is a reliable and valid instrument to measure health literacy in our sample. Further validation is needed with a more nationally representative sample of Chinese adults. The HLS19-Q12 could be used as a comprehensive, skills-based, and easy-to-administer health literacy assessment tool integrated into population surveys and intervention evaluations.

Early prediction of gestational diabetes mellitus using maternal demographic and clinical risk factors.

OBJECTIVE: To build and validate an early risk prediction model for gestational diabetes mellitus (GDM) based on first-trimester electronic medical records including maternal demographic and clinical risk factors. METHODS: To develop and validate a GDM prediction model, two datasets were used in this retrospective study. One included data of 14,015 pregnant women from Máxima Medical Center (MMC) in the Netherlands. The other was from an open-source database nuMoM2b including data of 10,038 nulliparous pregnant women, collected in the USA. Widely used maternal demographic and clinical risk factors were considered for modeling. A GDM prediction model based on elastic net logistic regression was trained from a subset of the MMC data. Internal validation was performed on the remaining MMC data to evaluate the model performance. For external validation, the prediction model was tested on an external test set from the nuMoM2b dataset. RESULTS: An area under the receiver-operating-characteristic curve (AUC) of 0.81 was achieved for early prediction of GDM on the MMC test data, comparable to the performance reported in previous studies. While the performance markedly decreased to an AUC of 0.69 when testing the MMC-based model on the external nuMoM2b test data, close to the performance trained and tested on the nuMoM2b dataset only (AUC = 0.70).

Mind your prevalence!

Multiple metrics are used when assessing and validating the performance of quantitative structure-activity relationship (QSAR) models. In the case of binary classification, balanced accuracy is a metric to assess the global performance of such models. In contrast to accuracy, balanced accuracy does not depend on the respective prevalence of the two categories in the test set that is used to validate a QSAR classifier. As such, balanced accuracy is used to overcome the effect of imbalanced test sets on the model's perceived accuracy. Matthews' correlation coefficient (MCC), an alternative global performance metric, is also known to mitigate the imbalance of the test set. However, in contrast to the balanced accuracy, MCC remains dependent on the respective prevalence of the predicted categories. For simplicity, the rest of this work is based on the positive prevalence. The MCC value may be underestimated at high or extremely low positive prevalence. It contributes to more challenging comparisons between experiments using test sets with different positive prevalences and may lead to incorrect interpretations. The concept of balanced metrics beyond balanced accuracy is, to the best of our knowledge, not yet described in the cheminformatic literature. Therefore, after describing the relevant literature, this manuscript will first formally define a confusion matrix, sensitivity and specificity and then present, with synthetic data, the danger of comparing performance metrics under nonconstant prevalence. Second, it will demonstrate that balanced accuracy is the performance metric accuracy calibrated to a test set with a positive prevalence of 50% (i.e., balanced test set). This concept of balanced accuracy will then be extended to the MCC after showing its dependency on the positive prevalence. Applying the same concept to any other performance metric and widening it to the concept of calibrated metrics will then be briefly discussed. We will show that, like balanced accuracy, any balanced performance metric may be expressed as a function of the well-known values of sensitivity and specificity. Finally, a tale of two MCCs will exemplify the use of this concept of balanced MCC versus MCC with four use cases using synthetic data. SCIENTIFIC CONTRIBUTION: This work provides a formal, unified framework for understanding prevalence dependence in model validation metrics, deriving balanced metric expressions beyond balanced accuracy, and demonstrating their practical utility for common use cases. In contrast to prior literature, it introduces the derived confusion matrix to express metrics as functions of sensitivity, specificity and prevalence without needing additional coefficients. The manuscript extends the concept of balanced metrics to Matthews' correlation coefficient and other widely used performance indicators, enabling robust comparisons under prevalence shifts.

The development and internal validation of a multivariable model predicting 6-month mortality for people with opioid use disorder presenting to community drug services in England: a protocol.

BACKGROUND: People with opioid use disorder have substantially higher standardised mortality rates compared to the general population; however, lack of clear individual prognostic information presents challenges to prioritise or target interventions within drug treatment services. Previous prognostic models have been developed to estimate the risk of developing opioid use disorder and opioid-related overdose in people routinely prescribed opioids but, to our knowledge, none have been developed to estimate mortality risk in people accessing drug services with opioid use disorder. Initial presentation to drug services is a pragmatic time to evaluate mortality risk given the contemporaneous routine collection of prognostic indicators and as a decision point for appropriate service prioritisation and targeted intervention delivery. This study aims to develop and internally validate a model to estimate 6-month mortality risk for people with opioid use disorder from prognostic indicators recorded at initial assessment in drug services in England. METHODS: An English national dataset containing records from individuals presenting to drug services between 1 April 2013 and 1 April 2023 (n > 800,000) (the National Drug Treatment Monitoring System (NDTMS)) linked to their lifetime hospitalisation and death records (Hospital Episode Statistics-Office of National Statistics (HES-ONS)). Twelve candidate prognostic indicator variables were identified based on literature review of demographic and clinical features associated with increased mortality for people in treatment for opioid use disorder. Variables will be extracted at initial presentation to drug services with mortality measured at 6 months. Two multivariable Cox regression models will be developed one for 6-month all-cause mortality and one for 6-month drug-related mortality using backward elimination with a fractional polynomial approach for continuous variables. Internal validation will be undertaken using bootstrapping methods. Discrimination of both models will be reported using Harrel's c and d-statistics. Calibration curves and slopes will be presented comparing expected and observed event rates. DISCUSSION: The models developed and internally validated in this study aim to improve clinical assessment of mortality risk for people with opioid use disorder presenting to drug services in England. External validation in different populations will be required to develop the model into a tool to assist future clinical decision-making.

Validity of Prescription-Defined and Hospital-Diagnosed Hypertension Compared with Self-Reported Hypertension in Denmark.

Purpose: Hypertension is an important risk factor in cardio-epidemiological research, but data quality remains a concern. We validated different registry-based definitions of hypertension. Patients and Methods: The cohort included all first-time responders of the Danish National Health Surveys (2010, 2013, or 2017). Prescription-defined hypertension was defined as ≥1 or ≥2 filled prescriptions of antihypertensive specific drugs in ≥1 or ≥2 different antihypertensive drug classes within 90, 180, or 365 days before survey response. Hospital-diagnosed hypertension was defined from hypertension diagnoses within five years before the survey response. Considering self-reported hypertension as the reference, we calculated the positive predictive value (PPV), the negative predictive value (NVP), the sensitivity, and the specificity of prescription-defined and hospital-diagnosed hypertension. Results: Among 442,490 survey responders, 127,247 (29%) had self-reported hypertension. For prescription-defined hypertension with 365-day lookback, the PPV was highest for ≥2 prescriptions in ≥2 drug classes (94%) and lowest for ≥1 prescription in ≥1 drug class (85%). The NPV was highest for ≥1 prescription in ≥2 drug classes (94%) and lowest for ≥1 prescription in ≥2 drug classes (80%). The sensitivity was highest for ≥1 prescription in ≥1 drug class (79%) and lowest for ≥2 prescriptions in ≥2 drug classes (30%). The specificity was ≥94% for all algorithms. The PPV and specificity did not change noteworthy with length of lookback period, whereas the NPV and the sensitivity generally were higher for longer lookback. The algorithm ≥1 prescription in ≥2 drug classes with 365-day lookback was among the best balanced across all measures of validity (PPV=88%, NPV=94%, sensitivity=75%, specificity=96%). For hospital-diagnosed hypertension, the PPV was 90%, the NPV was 76%, the sensitivity was 22%, and the specificity was 99%. Conclusion: Compared with self-reported hypertension, the algorithms for prescription-defined and hospital-diagnosed hypertension had high predictive values and specificity, but low sensitivity.

The development and validation of the One Health Community Assessment.

Interdisciplinary collaborations to address human, animal, and environmental health have been emphasized since the inception of the One Health framework. A quantitative survey instrument was developed to measure perceptions of the impacts of pets on One Health. Using the exploratory sequential mixed methods approach, 20 interviews were conducted with individuals from a racially diverse and low-socioeconomic status community in the U.S. to understand their perceptions of One Health. Data from those interviews informed the development of a Likert scale survey measuring individual perceptions of community, human, pet, and environmental health and welfare, as well as the connections between the domains of the One Health triad (human, animal, and environment). The resulting One Health Community Assessment (OHCA) was administered in two urban and two rural underserved U.S. communities longitudinally (2018-2021) through door-to-door data collection as well as phone, email, and text surveys. Validation of the instrument was completed using data collected in the third and fourth years of the study (n = 654). Factor analysis with orthogonal varimax rotation was used to assess the structure and internal consistency of the OHCA. Five subscales explained 42.4% of the variance in our 92-item instrument: community health (Cronbach's α = 0.897), human health (α = 0.842), pet health (α = 0.899), environmental health (α = 0.789), and connections between domains of One Health (α = 0.762). The OHCA represents the first reliable and validated instrument to measure the impacts of pets on One Health.

A first look at the reliability, validity and responsiveness of L-PF-35 dyspnea domain scores in fibrotic hypersensitivity pneumonitis.

BACKGROUND: Dyspnea impairs quality of life (QOL) in patients with fibrotic hypersensitivity pneumonitis (FHP). The Living with Pulmonary Fibrosis questionnaire (L-PF) assesses symptoms, their impacts and PF-related QOL in patients with any form of PF. Its scores have not undergone validation analyses in an FHP cohort. METHODS: We used data from the Pirfenidone in FHP trial to examine reliability, validity and responsiveness of the L-PF-35 Dyspnea domain score (Dyspnea) and to estimate its meaningful within-patient change (MWPC) threshold for worsening. Lack of suitable anchors precluded conducting analyses for other L-PF-35 scores. RESULTS: At baseline, Dyspnea's internal consistency (Cronbach's coefficient alpha) was 0.85; there were significant correlations with all four anchors (University of California San Diego Shortness of Breath Questionnaire scores r = 0.81, St. George's Activity domain score r = 0.82, percent predicted forced vital capacity r = 0.37, and percent predicted diffusing capacity of the lung for carbon monoxide r = 0.37). Dyspnea was significantly different between anchor subgroups (e.g., lowest percent predicted forced vital capacity (FVC%) vs. highest, 33.5 ± 18.5 vs. 11.1 ± 9.8, p = 0.01). There were significant correlations between changes in Dyspnea and changes in anchor scores at all trial time points. Longitudinal models further confirmed responsiveness. The MWPC threshold estimate for worsening was 6.6 points (range 5-8). CONCLUSION: The L-PF-35 Dyspnea domain appears to possess acceptable psychometric properties for assessing dyspnea in patients with FHP. Because instrument validation is never accomplished with one study, additional research is needed to build on the foundation these analyses provide. TRIAL REGISTRATION: The data for the analyses presented in this manuscript were generated in a trial registered on ClinicalTrials.gov; the identifier was NCT02958917.

Days alive and out of hospital for adult female and male cardiac surgery patients: a population-based cohort study.

BACKGROUND: Research shows women experience higher mortality than men after cardiac surgery but information on sex-differences during postoperative recovery is limited. Days alive and out of hospital (DAH) combines death, readmission and length of stay, and may better quantify sex-differences during recovery. This main objective is to evaluate (i) how DAH at 30-days varies between sex and surgical procedure, (ii) DAH responsiveness to patient and surgical complexity, and (iii) longer-term prognostic value of DAH. METHODS: We evaluated 111,430 patients (26% female) who underwent one of three types of cardiac surgery (isolated coronary artery bypass [CABG], isolated non-CABG, combination procedures) between 2009 - 2019. Primary outcome was DAH at 30 days (DAH30), secondary outcomes were DAH at 90 days (DAH90) and 180 days (DAH180). Data were stratified by sex and surgical group. Unadjusted and risk-adjusted analyses were conducted to determine the association of DAH with patient-, surgery-, and hospital-level characteristics. Patients were divided into two groups (below and above the 10th percentile) based on the number of days at DAH30. Proportion of patients below the 10th percentile at DAH30 that remained in this group at DAH90 and DAH180 were determined. RESULTS: DAH30 were lower for women compared to men (22 vs. 23 days), and seen across all surgical groups (isolated CABG 23 vs. 24, isolated non-CABG 22 vs. 23, combined surgeries 19 vs. 21 days). Clinical risk factors including multimorbidity, socioeconomic status and surgical complexity were associated with lower DAH30 values, but women showed lower values of DAH30 compared to men for many factors. Among patients in the lowest 10th percentile at DAH30, 80% of both females and males remained in the lowest 10th percentile at 90 days, while 72% of females and 76% males remained in that percentile at 180 days. CONCLUSION: DAH is a responsive outcome to differences in patient and surgical risk factors. Further research is needed to identify new care pathways to reduce disparities in outcomes between male and female patients.

Determination of drug-related problems according to PAIR criteria in dialysis patients: a cross-sectional study in tertiary care hospital.

BACKGROUND: Dialysis patients are at high risk for drug-related problems (DRPs), which have significant consequences for their morbidity, mortality, and quality of life. Improved clinical outcomes can be achieved by preventing, identifying, and resolving these problems. METHODS: This is a retrospective observational study. In this study, the PAIR instrument (Pharmacotherapy Assessment in Chronic Renal Disease) was validated for use in Turkish. Validation consisted of three stages: translation back-translation with expert panel evaluation, reliability analysis using the test-retest method, and conceptual validity with both Pharmaceutical Care Network Europe (PCNE) and PAIR used to determine DRPs prevalence. RESULTS: In total, 104 patients (mean ± SD age, 54.1 ± 15.8 years; 53.8% male) were included in the study. An expert panel evaluated the items in the criterion based on their intelligibility, service of purpose, differentiation, and cultural suitability during the translation stage. Content validity index (CVI) score was found to be 0.95. The reliability analysis was performed by applying the test-retest method and calculating correlation coefficient on 30 randomly selected patients one month later. Correlation coefficient (p) was found to be 0.8. To evaluate conceptual validity, 104 patients' pharmacotherapy plans were assessed using both the PAIR and PCNE criteria. The prevalence of DRPs according to PAIR criteria (100.0%) and PCNE (73.1%) were statistically significantly different (p < 0.001). CONCLUSIONS: As a result, PAIR criteria can identify clinically relevant DRPs in patients with CKD and is a new, validated tool to be used in Turkey, but may not be adequate for patients receiving dialysis. Therefore, it needs to be reviewed and updated for dialysis patients.

LC-MS/MS profiling of colon oxysterols and cholesterol precursors in mouse model of ulcerative colitis.

Oxysterols and cholesterol precursors are being increasingly investigated in humans and laboratory animals as markers for various diseases in addition to their important functions. However, the quantitative analysis of these bioactive molecules is obstructed by high structural similarity, poor ionization efficiency and low abundance. The current assay methods are still cumbersome to be of practical use, and their applicability in different bio-samples needs to be evaluated and optimized as necessary. In the present work, chromatographic separation conditions were carefully studied to achieve baseline separation of difficult-to-isolate compound pairs. On the other hand, an efficient sample purification method was established for colon tissue samples with good recoveries of sterols, demonstrating negligible autoxidation of cholesterol into oxysterols. The developed UPLC-APCI-MS/MS method was thoroughly validated and applied to measure oxysterols and cholesterol precursors in colon tissue of dextran sulfate sodium (DSS)-induced mouse colitis models, and it is expected to be successfully applied to the quantitative determination of such components in other tissue samples.

Donor whole blood DNA methylation is not a strong predictor of acute graft versus host disease in unrelated donor allogeneic haematopoietic cell transplantation.

Allogeneic hematopoietic cell transplantation (HCT) is used to treat many blood-based disorders and malignancies, however it can also result in serious adverse events, such as the development of acute graft-versus-host disease (aGVHD). This study aimed to develop a donor-specific epigenetic classifier to reduce incidence of aGVHD by improving donor selection. Genome-wide DNA methylation was assessed in a discovery cohort of 288 HCT donors selected based on recipient aGVHD outcome; this cohort consisted of 144 cases with aGVHD grades III-IV and 144 controls with no aGVHD. We applied a machine learning algorithm to identify CpG sites predictive of aGVHD. Receiver operating characteristic (ROC) curve analysis of these sites resulted in a classifier with an encouraging area under the ROC curve (AUC) of 0.91. To test this classifier, we used an independent validation cohort (n = 288) selected using the same criteria as the discovery cohort. Attempts to validate the classifier failed with the AUC falling to 0.51. These results indicate that donor DNA methylation may not be a suitable predictor of aGVHD in an HCT setting involving unrelated donors, despite the initial promising results in the discovery cohort. Our work highlights the importance of independent validation of machine learning classifiers, particularly when developing classifiers intended for clinical use.

Development and validation of the rheumatoid arthritis scale among the system of quality of life instruments for chronic diseases QLICD-RA (V2.0).

Rheumatoid Arthritis is a more serious threatening to people and suitable for QOL measurement. A few specific QOL instruments are available without considering Chinese culture. The present study was aimed to develop and validate the Rheumatoid Arthritis Scale among the System of Quality of Life Instruments for Chronic Diseases (QLICD-RA V2.0). The data collected from 379 patients with RA was used to evaluate the psychometric properties of the scale. The reliability was evaluated by the internal consistency Cronbach's α, test-retest reliability Pearson correlation r and intra-class correlation (ICC). We evaluated the construct validity and criteria-related validity by correlation analysis and structural equation modeling. We compared the differences in scores of QLICD-RA before and after treatment and used the Standard Response Mean (SRM) to assess the responsiveness. The results showed that the internal consistency coefficient Cronbach's α values were greater than 0.70. The correlations r and ICCs were greater than 0.80. The correlation analysis and structural equation modeling confirmed good construct validity and criterion-related validity. The SRM ranges from 0.07 to 0.27 for significant domains/facets. It concluded that QLICD-RA (2.0) is a reliable and valid instrument to measure QOL among patients with RA.

Translation and Validation of the Sinus and Nasal Quality of Life Surgery Survey in Serbian.

Objective: The aim of this study was to translate the Sinus and Nasal Quality of Life Surgery Survey into the Serbian language to evaluate the test-retest reliability and validity. Study Design: The study included 49 consecutive patients between 12 and 18 years old with rhinologic symptoms. Patients were given a paper survey to complete along with a link to complete the online survey within the same day. Setting: The study was conducted at the University Children's Hospital Clinic for Pulmonology and Allergology between January 2023 and March 2023. Methods: Responses between the paper and online survey were compared and regression analysis was performed to evaluate the relationship. Internal reliability and test-retest reliability were assessed using Cronbach's α coefficient and intraclass correlation coefficient. All data were collected and analyzed using SPSS 29.0. Results: Pearson correlation coefficient between the paper and online survey was very high and statistically significant (r = 0.999; P < .001). Each item had a high correlation (0.993-1.000), where the lowest correlation coefficient was obtained from question 2 (0.993). Average scores in each item differed slightly for only item 2 (mean difference = -0.041), but not to the level of statistical significance. Bland-Altman plot indicated no proportional bias between the 2 versions. Linear regression analysis suggested a high level of agreement between the 2 versions (slope = 1.00, R 2 = 0.999). Conclusion: The survey is a useful questionnaire to evaluate the quality of life in patients with rhinologic symptoms. The high correlation between the paper and online survey shows the reliability of the questionnaire regardless of administration modality.