Temporal validation of a clinical prediction rule for distinguishing locomotive syndromes in community-dwelling older adults: A cross-sectional study from the DETECt-L study

Objectives

Clinical prediction rules are used to discriminate patients with locomotive syndrome and may enable early detection. This study aimed to validate the clinical predictive rules for locomotive syndrome in community-dwelling older adults.

Methods

We assessed the clinical prediction rules for locomotive syndrome in a cross-sectional setting. The age, sex, and body mass index of participants were recorded. Five physical function tests-grip strength, single-leg standing time, timed up-and-go test, and preferred and maximum walking speeds-were measured as predictive factors. Three previously developed clinical prediction models for determining the severity of locomotive syndrome were assessed using a decision tree analysis. To assess validity, the sensitivity, specificity, likelihood ratio, and post-test probability of the clinical prediction rules were calculated using receiver operating characteristic curve analysis for each model.

Results

Overall, 280 older adults were included (240 women; mean age, 74.8 ± 5.2 years), and 232 (82.9%), 68 (24.3%), and 28 (10.0%) participants had locomotive syndrome stages ≥ 1, ≥ 2, and = 3, respectively. The areas under the receiver operating characteristics curves were 0.701, 0.709, and 0.603, in models 1, 2, and 3, respectively. The accuracies of models 1 and 2 were moderate.

Conclusions

These findings indicate that the models are reliable for community-dwelling older adults.

Cultural adaptation and reliability testing of the Chinese version of evidence-based practice knowledge assessment in nursing: A cross-sectional study

Objective

The EKAN is a reliable and validated tool for objectively measuring the evidence-based practice (EBP) knowledge of nurses. Thus, we set out to translate and culturally modify the Evidence-Based Practice Knowledge Assessment in Nursing (EKAN), and then evaluate its validity and reliability among Chinese practicing nurses.

Methods

This cross-sectional study consisted of two phases. The first phase involved translating the EKAN into Chinese (EKAN-Chinese), using a process of forward translation, back translation, review, cultural adjustment as well as a pilot study. The second phase aimed to assess the psychometric properties of the EKAN-Chinese and establish a baseline measure of EBP knowledge among 120 nurses from a large general hospital in Beijing, China. Data were collected from August to November 2022 and analyzed with Rasch software. This study was reported using the cross-sectional STROBE checklist.

Results

The newly translated, EKAN-Chinese was pilot-tested after slight modification of four items without altering the intended meaning. The outfit unweighted mean square was 1.03 (SD = -0.13), the infit weighted mean square was 1.00 (-0.17), and the mean difficulty index ranged from -3.43 to 2.85 according to validity indices. The results of the reliability indices revealed low person reliability (0.49), high item reliability (0.96), moderate person separation index (0.99), and sufficient item separation index (4.71). The mean EKAN-Chinese sum score was 9.8 (max score = 20, SD = 2.9).

Conclusion

The newly translated EKAN-Chinese showed sufficient psychometric evidence to support use in practicing Chinese nurses. The EKAN-Chinese can be used by nurse leaders in China as a potential screening tool to 1) objectively identify nurses who need educational training in evidence-based nursing practice, and 2) gauge the effectiveness of education and training programs to improve EBP knowledge and ultimately, evidence-based care.

Salutogenic health measures: Psychometric properties of the Danish versions of the Flourish Index and the Secure Flourish Index

Measurement of human flourishing represents a salutogenic approach to epidemiological and behavioral research emphasizing factors contributing to "good lives" rather than pathology. The objective of this study was to translate and psychometrically test the 10-item Flourish Index (FI) and 12-item Secure Flourish Index (SFI) in a convenience sample of Danish adults. A total of 325 participants completed a cross-sectional survey, with 148 of those participants completing the survey a second time (retest). Confirmatory factor analysis in a structural equation modelling framework was used to establish structural validity by comparing four different pre-specified models of the indexes. Additionally, internal consistency, convergent and incremental validity, and retest reliability were examined. The FI models exhibited superior structural validity compared with similar models of the SFI, although all models had good fits. Internal consistencies with McDonald's omega were 0.89 and 0.87 for the FI and SFI, respectively. The five (FI) or six (SFI) domains were happiness & life satisfaction, mental & physical health, meaning & purpose, character & virtue, close social relationships, and financial & material stability (λ4  = 0.51-0.91). Convergent and incremental validity tests supported predefined hypotheses. Retest analyses with the FI and SFI showed a high degree of retest reliability. Based on the psychometric evidence reported in this study, the Danish Flourish Index and Secure Flourish Index seem suitable for use with healthy adult Danes. The authors hope that this psychometric evaluation of the FI and SFI will stimulate research on patterns, health and economic outcomes, and predictors of human flourishing in Denmark.

Vocabulary knowledge as a reliable proxy of cognitive reserve in multiple sclerosis: a validation study

INTRODUCTION

The present study aimed to explore the suitability of the vocabulary knowledge (VOC) test as an accurate and reliable proxy of cognitive reserve (CR) by evaluating its psychometric properties and discrimination accuracy compared with other CR measures in multiple sclerosis (MS).

METHODS

Sixty-eight consecutive people with multiple sclerosis (pwMS), followed at our MS outpatient clinic, completed a clinical evaluation and neuropsychological assessment including: VOC, Brief Repeatable Battery of Neuropsychological Tests (BRB-N), Cognitive Reserve Index Questionnaire (CRIq), Beck Depression Inventory-II, and State-Trait Anxiety Inventory. Reliability, convergent and divergent validity, and discrimination accuracy of the VOC were assessed using educational level as reference standard. The possible effects of sociodemographic and clinical factors on VOC and their role in predicting global cognitive status were also explored.

RESULTS

VOC demonstrated good internal consistency (Cronbach's α = 0.894) and adequate construct validity. It showed an acceptable level of discrimination between pwMS with high and low CR, comparable to the CRIq score. Education strongly affected VOC scores, which in turn were independent of MS features. VOC emerged as an independent predictor of global cognitive status together with MS-related disability.

CONCLUSION

We demonstrated the validity of VOC as a reliable CR measure in pwMS. Thus, CR may also be estimated using fixed objective measures, independent of brain pathology and clinical features. Early CR estimation may help clinicians identify pwMS at a higher risk of cognitive decline and plan strict neuropsychological monitoring and cognitive interventions.

Comparison of different methods of screening for preterm pre-eclampsia: cohort study

OBJECTIVE

To compare the predictive performance for pre-eclampsia (PE) of three different first-trimester mathematical models of screening, which combine maternal risk factors with mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI) and serum placental growth factor (PlGF), and two risk scoring systems, based on NICE and ACOG recommendations.

METHODS

This was a prospective cohort study performed in eight fetal-medicine units in five different regions of Spain between September 2017 and December 2019. All pregnant women with singleton pregnancies and non-malformed live fetuses attending their routine ultrasound examination at 11+0 to 13+6 weeks' gestation were invited to participate in the study. Maternal characteristics and medical history were recorded and measurements of MAP, UtA-PI, serum PlGF and pregnancy associated plasma protein-A (PAPP-A) were converted into multiples of the median (MoM). Risks for term, preterm-PE (< 37 weeks' gestation) and early-PE (< 34 weeks' gestation) were calculated according to the FMF competing risks model, the Crovetto et al., logistic regression model, and Serra et al., Gaussian model. Patient classification based on NICE and ACOG guidelines was also performed. We estimated detection rates (DR) with their 95% confidence intervals (CIs) at a fixed 10% screen positive rate (SPR), as well as the area under the receiver operating characteristic curve (AUROC) for preterm-PE, early-PE, and all PE for the three mathematical models. For the scoring systems, we calculated DR and SPR. Risk calibration was also assessed.

RESULTS

The study population comprised of 10,110 singleton pregnancies, including 32 (0.3%) that developed early-PE, 72 (0.7%) that developed preterm-PE and 230 (2.3%) of any PE. At fixed 10% SPR, the FMF, Crovetto et al., and Serra et al., detected 82.7% (95% CI, 69.6 to 95.8%), 73.8% (95% CI, 58.7 to 88.9%), and 79.8% (95% CI, 66.1 to 93.5%) of early-PE; 72.7% (95% CI, 62.9 to 82.6%), 69.2% (95% CI, 58.8 to 79.6%), and 74.1% (95% CI, 64.2 to 83.9%) of preterm-PE and 55.1% (95% CI, 48.8 to 61.4%), 47.1% (95% CI, 40.6 to 53.5%), and 53.9% (95% CI, 47.4 to 60.4%) of all PE, respectively. The best correlation between predicted and observed cases was achieved by the FMF model, with an AUROC of 0.911 (95% CI, 0.879 to 0.943), a slope of 0.983 (95% CI, 0.846-1.120) and an intercept of 0.154 (95% CI, -0.091 to 0.397). The NICE criteria identified 46.7% (95% CI, 35.3 to 58.0%) of preterm-PE at 11% SPR and ACOG criteria identified 65.9% (95% CI, 55.4 to 76.4%) of preterm-PE at 33.8% SPR.

CONCLUSIONS

The best performance of screening for preterm-PE is achieved by mathematical models that combine maternal factors with MAP, UtA-PI and PlGF, as compared to risk-scoring systems like NICE or ACOG criteria. While all three algorithms show similar results in terms of overall prediction, the FMF model showed the best performance at the individual level. This article is protected by copyright. All rights reserved.

Development and usability of a virtual reality umbilical venous catheter placement simulator

PURPOSE

Exposure to procedures varies in the neonatal intensive care unit (NICU). A method to teach procedures should be available without patient availability, expert oversight, or simulation laboratories. To fill this need, we developed a virtual reality (VR) simulation for umbilical vein catheter (UVC) placement and sought to establish its face and content validity and usability.

METHODS

Engineers, software developers, graphic designers, and neonatologists developed a VR UVC placement simulator following a participatory design approach. The software was deployed on the Meta Quest 2 head-mounted display (HMD). Neonatal nurse practitioners (NNPs) from a level 4 NICU used the simulator and completed an 11-item questionnaire to establish face and content validity. Participants also completed the validated simulation task load index and system usability scale to assess the usability of the simulator. Group 1 tested the VR simulation, which was optimized based on feedback, prior to Group 2's participation.

RESULTS

A total of 14 NNPs with 2-37 years of experience participated in testing. Participants scored the content and face validity of the simulator highly, with most giving scores ≥ 4/5. Usability was established with relatively high average system usability scores for both groups (Group 1: 67.14 ± 7.8, Group 2: 71 ± 14.1) and low SIM-TLX scores indicating manageable load while using the simulator.

CONCLUSION

After optimization, Group 2 found the UVC simulator to be realistic and effective. Both groups felt the simulator was easy to use and did not cause physical or cognitive strain. All participants felt the UVC simulator provided a safe environment to make mistakes, and the majority would recommend this experience to trainees.

The validation of a Japanese version of the New Freezing of Gait Questionnaire (NFOG-Q)

OBJECTIVE

This study aimed to develop a Japanese version of the New Freezing of Gait Questionnaire (NFOG-Q) and investigate its validity and reliability.

METHODS

After translating the NFOG-Q according to a standardised protocol, 56 patients with Parkinson's disease (PD) were administered it. Additionally, the MDS-UPDRS parts II and III, Hoehn and Yahr (H&Y) stage, and number of falls over 1 month were evaluated. Spearman's correlation coefficients (rho) were used to determine construct validity, and Cronbach's alpha (α) was used to examine reliability.

RESULTS

The interquartile range of the NFOG-Q scores was 10.0-25.3 (range 0-29). The NFOG-Q scores were strongly correlated with the MDS-UPDRS part II, items 2.12 (walking and balance), 2.13 (freezing), 3.11 (freezing of gait), and 3.12 (postural stability) and the postural instability and gait difficulty score (rho = 0.515-0.669), but only moderately related to the MDS-UPDRS item 3.10 (gait), number of falls, disease duration, H&Y stage, and time of the Timed Up-and-Go test (rho = 0.319-0.434). No significant correlations were observed between age and the time of the 10-m walk test. The internal consistency was excellent (α = 0.96).

CONCLUSIONS

The Japanese version of the NFOG-Q is a valid and reliable tool for assessing the severity of freezing in patients with PD.

Development and validation of a questionnaire for measuring team cohesion: the Erlangen Team Cohesion at Work Scale (ETC)

BACKGROUND

Team cohesion is a crucial factor when it comes to job satisfaction and turnovers. However, in Germany, economic measures for team cohesion are scarce. The aim of this study was to develop and validate an economic self-report questionnaire for measuring team cohesion in a work setting in health care.

METHODS

The questionnaire was developed in a stepwise procedure. After item analysis, exploratory factor analysis was conducted to assess factor structure. Reliability was tested via internal consistency. To assess convergent and divergent validity, we applied the Copenhagen Psychosocial Questionnaire (COPSOQ), the Perceived Cohesion Scale (PCS), the ENRICHD Social Support Inventory (ESSI), the Effort-Reward Imbalance Scale (ERI) and the Patient Health Questionnaire (PHQ-4), respectively.

RESULTS

The pilot version was tested in a sample of n = 126 adult nurses. Item analysis resulted in a total of 13 items for the final version. Exploratory factor analysis indicated a two-factor structure. Internal consistency for the two subscales was good, with α = 0.88 and α = 0.84, respectively. Convergent validity with the subscales of COPSOQ and PCS was moderate to high (r =.26- r =.64). For divergent validity, correlations with the ESSI were low (r =.01- r = -.09). We further found significant correlations with depression symptoms (r=-.22- r=-.37), as well as reward (ERI) (r =.41 -r =.47) and effort (ERI) (r=-.20 - r = -.24).

CONCLUSIONS

We developed and validated the Erlangen Team Cohesion at Work Scale (ETC), a self-report measure for team cohesion with very good psychometric properties. Due to its economic deployment, it is suitable for measuring team cohesion in work settings, especially in health care.

Validation of the Collett-Lester fear of death scale in occupational therapy students: psychometric testing and implications for palliative care education

BACKGROUND

The fear of death is a common experience among healthcare students and professionals that may impact the quality of care provided to patients, particularly those receiving palliative care. The Collett-Lester Fear of Death Scale is a widely used instrument to assess this fear, although its psychometric properties have not been extensively studied in Occupational Therapy students. The present study aimed to validate the Collett-Lester Fear of Death Scale (CL-FODS) in a sample of Occupational Therapy students and to explore its implications for palliative care education.

METHOD

A cross-sectional study was conducted to perform psychometric testing of the CL-FODS in Occupational Therapy undergraduate students. Structural validity, internal consistency, and test-retest reliability were analysed. A total of 195 Occupational Therapy students were included in this study. Additionally, the participants completed a brief survey on their experiences and attitudes towards palliative care.

RESULTS

The internal consistency was satisfactory (α = 0.888). The exploratory factor analysis to evaluate the internal structure yielded four factors. The model fit indices were: comparative fit index = 0.89, and root mean square error of approximation = 0.06). The test-retest reliability was satisfactory and demonstrated an intraclass correlation coefficient of 0.939.

CONCLUSION

The Spanish version of the CL-FODS showed satisfactory psychometric properties; therefore, assessing fear of death in Occupational Therapy students is helpful. This study highlights the importance of addressing fear of death and palliative care education in Occupational Therapy undergraduates to improve future professional attitudes and, consequently, the quality of patient care at the end of life.

Physiologically based Pharmacokinetic Model Validated to Enable Predictions Of Multiple Drugs in a Long-acting Drug-combination Nano-Particles (DcNP): Confirmation with 3 HIV Drugs, Lopinavir, Ritonavir, and Tenofovir in DcNP Products

Drug-Combination Nanoparticles (DcNP) are a novel drug delivery system designed for synchronized delivery of multiple drugs in a single, long-acting, and targeted dose. Unlike depot formulations, slowly releasing drug at the injection site into the blood, DcNP allows multiple-drug-in-combination to collectively distribute from the injection site into the lymphatic system. Two distinct classes of long-acting injectables products are proposed based on pharmacokinetic mechanisms. Class I involves sustained release at the injection site. Class II involves a drug-carrier complex composed of lopinavir, ritonavir, and tenofovir uptake and retention in the lymphatic system before systemic access as a part of the PBPK model validation. For clinical development, Class II long-acting drug-combination products, we leverage data from 3 nonhuman primate studies consisting of nine PK datasets: Study 1, varying fixed-dose ratios; Study 2, short multiple dosing with kinetic tails; Study 3, long multiple dosing (chronic). PBPK validation criteria were established to validate each scenario for all drugs. The models passed validation in 8 of 9 cases, specifically to predict Study 1 and 2, including PK tails, with ritonavir and tenofovir, fully passing Study 3 as well. PBPK model for lopinavir in Study 3 did not pass the validation due to an observable time-varying and delayed drug accumulation, which likely was due to ritonavir's CYP3A inhibitory effect building up during multiple dosing that triggered a mechanism-based drug-drug interaction (DDI). Subsequently, the final model enables us to account for this DDI scenario.

How patients with insomnia interpret and respond to the consensus sleep diary: a cognitive interview study

OBJECTIVE/BACKGROUND

The Consensus Sleep Diary (CSD) is widely used to assess subjective sleep. Psychometric evaluations and focus-groups support its validity and clinical usefulness, but further research into its validity is needed. The aim of the study was to evaluate a Swedish translation of the CSD regarding test content and response processes in patients with insomnia.

PATIENTS/METHODS

In connection with translating the CSD into Swedish, we used cognitive interviewing to evaluate test content and the response process, that is, how people make decisions when responding to survey items. Cognitive interviews were conducted with 13 primary health care patients with insomnia disorder (mean age, 49 years; SD 15.5). Iterative, reparative analysis was used to investigate test content. Descriptive deductive analysis was used to investigate interview transcripts for the themes of the cognitive model: comprehension, retrieval, decision process, and judgement. Together, the themes explain the response process when responding to a patient-reported outcome measure.

RESULTS

The overall comprehension of the CSD could be affected by poor adherence to the instructions (comprehension). Patients had difficulty with recall if they did not complete the diary immediately in the morning and just before bedtime (retrieval). They could have problems deciding how to respond to certain items because they imbued sleep-related concepts with extra meaning (decision process), and had trouble finding response alternatives nuanced enough to describe their experience of sleep and tiredness (judgement).

CONCLUSIONS

This study contributes knowledge on how the instrument is perceived and used by care-seeking patients with insomnia. In this context, the CSD exhibits known flaws such as memory lapses if the diary is not filled in directly in the morning. To increase the accuracy of patients' responses, therapists should support patients in reading the instructions.

Validation of the PRAETORIAN score in a large subcutaneous implantable cardioverter-defibrillator collective: Usefulness in clinical routine

BACKGROUND

To assess the risk of unsuccessful conversion of ventricular fibrillation during defibrillation testing (DFT) with the subcutaneous implantable cardioverter-defibrillator (S-ICD), the PRAETORIAN score has been proposed.

OBJECTIVE

The purpose of this study was to validate the PRAETORIAN score in a large S-ICD collective.

METHODS

A retrospective single-center analysis of S-ICD patients receiving intraoperative DFT was performed. DFT was performed using a stepwise protocol with 65-J standard polarity, change of polarity, increase to 80 J, and repositioning if necessary. If all DFTs failed, we switched to a transvenous ICD.

RESULTS

Overall, 398 patients were analyzed (268 male [67.3%]; mean age 42.4 ± 15.9 years; mean body mass index [BMI] 25.9 ± 4.8 kg/m2). Successful DFT with the first ICD shock was observed in 264 patients (66.3%). One hundred fourteen patients were defibrillated with the second (n = 104) or third (n = 10) DFT after changing shock polarity and/or shock energy. Overall, 20 patients needed at least 3 DFT (ie, 80 J and/or re-positioning). The majority (n = 88 [65.7%]) of DFT failures occurred before 2015 with the first-generation S-ICD. PRAETORIAN score was an independent predictor of DFT failure (odds ratio [OR] 1.007; 95% confidence interval [CI] 1.003-1.011 P ≤.001), while whereas BMI alone was not (P = .31). Presence of hypertrophic cardiomyopathy (HCM) (OR 2.6; 95% CI 1.3-4.4; P = .004) was predictive for at least 1 unsuccessful DFT in our multivariate regression analysis.

CONCLUSION

PRAETORIAN score proved to be a useful and valid predictive tool for successful DFT, whereas BMI only had a limited role. Patients with HCM were at increased risk for DFT failure or needed higher DFT energy.

Psychometric properties of the nine-item avoidant/restrictive food intake disorder screen (NIAS) in Turkish children

BACKGROUND

The nine item avoidant/restrictive food intake disorder screen (NIAS) is a short and practical assessment tool specific to ARFID with three ARFID phenotypes such as "Picky eating," "Fear," and "Appetite". This study aimed to evaluate the psychometric properties of the Turkish translation of the NIAS parent form and to investigate the relationship between ARFID symptoms and anxiety, depression symptoms, and eating behaviors in a sample of Turkish children.

METHOD

Parents were asked to provide their children's sociodemographic data and to complete the NIAS, Eating Disorder Examination Questionnaire-Short (EDE-QS), Children's Eating Behavior Questionnaire (CEBQ), and Revised Child Anxiety and Depression Scale (RCADS) scales.

RESULTS

The sample included 440 participants between 6 and 12 ages. Turkish NIAS demonstrated good internal consistency. The three-factor model of the Turkish NIAS was in an acceptable structure. The Turkish NIAS scale was shown to be valid and reliable. NIAS scores were shown to be higher in underweight participants. The NIAS-parent version subscales showed expected convergent and divergent validity with the CEBQ, EDEQ-S, and RCADS scales in children, except CEBQ emotional overeating and desire to drink subscales were correlated with NIAS.

CONCLUSION

The Turkish version of the NIAS is valid and reliable in evaluating ARFID symptoms in children.

Determination of Clorsulon and its related substances in commercial bulk drug substance batches by a rapid ion-pair UPLC method

Clorsulon is a potent anthelmintic agent and is widely used for the treatment and control of parasites including adult liver flukes in cattle and sheep. A rapid ion-paired reversed phase ultraperformance liquid chromatography (IP-UPLC) method has been developed and validated for determination of Clorsulon and its related substances in bulk drug substance batches of Clorsulon with a short octadecyl column. Analytes were eluted by a gradient elution on a Acquity UPLC® BEH C18 column (50 mm × 2.1 mm i.d., 1.7 µm particle size). Column temperature was maintained at 55 °C and all analytes were monitored by UV detection at 268 nm. Mobile phase-A constitutes 3 mM tetrabutylammonium hydroxide in H2O and mobile phase-B constitutes acetonitrile/methanol (50/50, v/v), respectively. All analytes of interest were adequately separated within 5 min. The analytes were quantitated against an external reference standard of Clorsulon. The chemical structures of degradation products of Clorsulon were proposed based on two-dimensional UPLC-MS data. The IP-UPLC method has been successfully validated and demonstrated to be accurate, sensitive, robust, and specific.

Development and validation of a chiral UPLC-MS/MS method for quantifying S-Oxiracetam and R-Oxiracetam in human plasma, urine and feces: Application to a phase-I clinical pharmacokinetic study

A chiral UPLC-MS/MS method was developed and validated to determine oxiracetam enantiomers in human plasma, urine, and feces. The R-Oxiracetam and S-Oxiracetam were quantified using a CHIRALPAK ®AD3 column at 25 ℃, and the resolution was greater than 3.2. The S-Oxiracetam is the eutomer that isresponsible for the treatment of various brain damage. Isocratic elution was conducted at a flow rate of 0.9 mL/min for 6 min using the mixture of methanol and acetonitrile (methanol:acetonitrile, 15:85) containing 0.3‰ formic acid. The methods showed linearity at the range of 0.5-100 µg/mL for each oxiracetam enantiomer. A comprehensive validation process was carried out, covering aspects including linearity, selectivity, carryover, accuracy, precision, interferences, matrix effect, recovery, dilution integrity and stability in matrix and solution. The validated methods were successfully applied to quantifying R-Oxiracetam and S-Oxiracetam in human plasma, urine, and feces of 12 healthy subjects treated with either a single dose of 2 g S-Oxiracetam injection or 4 g Oxiracetam injection in a phase-I clinical trial. There was no significant difference for plasma pharmacokinetic parameters of S-Oxiracetam between the two regimens (P＞0.05). The S-Oxiracetam and Oxiracetam were primarily eliminated through urine in their original form, with cumulative excretion rates of 92.16% and 85.92%, respectively, within 24 h after administration. Enantiomers interconversion was not observed in the plasma, urine, or feces. The results of this study suggest that replacing 4 g Oxiracetam injection with 2 g S-Oxiracetam injection could offer clinical benefits by lowering the dosage and mitigating potential risks, based on the pharmacokinetic characteristics.

Development and validation of a LC-MS/MS method for the quantification of phenolic compounds in human saliva after intake of a procyanidin-rich pine bark extract

Plant-derived phenolic compounds are regularly ingested as food compounds or as food supplements. Concentrations of individual compounds and metabolites are typically measured in serum or urine samples. This, however, allows no conclusion on the distribution into organs and tissues. An easily accessible biofluid is saliva. At this point, it was not clear yet, whether polyphenols circulating in the blood would be secreted or diffuse into saliva. The purpose of the present study was to develop and validate a method using liquid chromatography coupled to electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) for analysis of phenolic compounds in human saliva. Method validation for the quantification of taxifolin, ferulic acid, caffeic acid, gallic acid, para-coumaric acid, and protocatechuic acid and the gut microbial catechin metabolite δ-(3,4-dihydroxyphenyl)-γ-valerolactone (M1) in human saliva was performed according to current guidelines for bioanalytical method validation. The lower limit of quantification ranged from 0.82 ng/ml for M1 to 8.20 ng/ml for protocatechuic acid. The method was successfully applied to an authentic saliva sample of a volunteer after swallowing of procyanidin-rich pine bark extract capsules (dietary supplement Pycnogenol®). All polyphenols except ferulic acid were quantified at concentrations ranging from 1.20 ng/ml (M1) to 10.34 ng/ml (gallic acid). Notably, in contrast to serum samples, all phenolic compounds were present without sulfate or glucuronic acid conjugation in saliva, suggesting an enzymatic deconjugation, e.g., by a β-glucuronidase activity, during compound transfer from serum to saliva. Since M1 is only produced in the gut, its presence in saliva ruled out the possibility of sample contamination by phenolic compounds residing in the oral cavity after food intake. To the best of our knowledge, this is the first time that the gut microbiota-derived metabolite M1 has been detected in saliva. To further investigate the role of phenolic compounds in saliva, the described analytical method can be applied in clinical studies investigating the biodistribution of polyphenols and their metabolites.

4 Domain Sports PROM in Spanish: Cross-cultural adaptation in the Chilean population and reliability analysis

BACKGROUND

Patient-Reported Outcome Measures (PROMs) are tools of increasing interest in the sports population. The purpose of this study was to perform the cross-cultural adaptation and reliability analysis of the 4 Domain Sports Patient-Reported Outcome Measure (4DSP) into Spanish.

METHODS

A six-stage cross-cultural adaptation protocol was executed to obtain the Spanish version of the 4DSP (S-4DSP). Subsequently, the questionnaire was administered to a population of 108 postoperative athletes with ACL (Anterior Cruciate Ligament) injuries. The questionnaire was administered again after 30 days. Acceptability, floor and ceiling effects, internal consistency (Cronbach's alpha), and reproducibility (Intraclass Correlation) were evaluated.

RESULTS

The S-4DSP was fully completed by 108 participants (mean age 34 ± 10.75, 26% women), achieving 100% acceptability. No floor effect was detected. The statistical analysis yielded a global Cronbach's alpha for the questionnaire of 0.65, and domain-specific alphas of 0.88, 0.72, 0.27, and 0.68 for the first, second, third, and fourth domains, respectively. The Intraclass Correlation test reached a maximum of 0.94 and a minimum of 0.48 for the first and fifth questions, respectively.

CONCLUSIONS

The S-4DSP is a reliable and useful tool for evaluating Spanish-speaking athletes after ACL reconstruction.

Validation of administrative claims to identify ultrasound enhancing agent use

BACKGROUND

Ultrasound enhancing agents (UEAs) are an invaluable adjunct to stress and transthoracic echocardiography (STE) to improve left ventricular visualization. Despite multiple single center studies evaluating UEA use, investigation into the rates, sources of variation, and outcomes of UEA use on a national level in the United States (US) has been limited by lack of validation of UEA codes for claims analyses.

METHODS

We conducted a retrospective cross-sectional study, 2019-2022, using linked multicenter electronic medical record (EMR) data from > 30 health systems linked to all-payor claims data representing > 90% of the US population. Individuals receiving STE in both EMR and claims data on the same day during the study window were included. UEA receipt as identified by presence of a Current Procedural Terminology (CPT) or National Drug Code (NDC) for UEA use within 1-day of the index STE event. We evaluated the performance of claims to identify UEA use, using EMR data as the gold standard, stratified by inpatient and outpatient status.

RESULTS

Amongst 54,525 individuals receiving STE in both EMR and claims data, 12,853 (23.6%) had a UEA claim in EMR, 10,461 (19.2%) had a UEA claim in claims, and 9140 (16.8%) had a UEA claim in both within the 1-day window. The sensitivity, specificity, accuracy, positive, and negative predictive values for UEA claims were 71.1%, 96.8%, 90.8%, 87.4%. and 91.6% respectively. However, amongst inpatients, the sensitivity of UEA claims was substantially lower (6.8%) compared to outpatients (79.7%).

CONCLUSIONS

While the overall accuracy of claims to identify UEA use was high, there was substantial under-capture of UEA use by claims amongst inpatients. These results call into question published rates of UEA use amongst inpatients in studies using administrative claims, and highlight ongoing need to improve inpatient coding for UEA use.

Validation of the Return-to-Work Obstacles and Self-Efficacy Scale for Women on Sick Leave Due to Breast Cancer (ROSES-BC)

PURPOSE

Breast cancer (BC) is the most frequently diagnosed cancer among women. Approximately 40% of BC survivors are diagnosed during the peak years of their professional career. Women face numerous obstacles when returning to work (RTW) after BC. Their decision-making process and self-efficacy to overcome these barriers may undergo alterations. The objective of this study was to validate the Return-to-work Obstacles and Self-Efficacy Scale (ROSES) for BC survivors, with a focus on three psychometric properties: construct validity, test-retest reliability, and predictive validity.

METHODS

This prospective study consists of three phases: Phase 1 (baseline, during sick leave) was conducted to evaluate construct validity, Phase 2 (2 weeks later) assessed test-retest reliability, and Phase 3 (6-month follow-up, RTW or not) aimed to evaluate predictive validity. A total of 153 BC survivors participated in Phase 1 of the study, where they completed the 10 dimensions of the ROSES (e.g., fear of relapse, cognitive difficulties). Confirmatory factor analyses (CFA), Pearson correlations, and Cox regressions were performed, with respect to each phase.

RESULTS

The mean duration for RTW with the same employer was 62.7 weeks. CFAs confirmed the ROSES structure, which had previously been established for other health conditions, showing satisfactory coefficients. Significant Pearson correlation coefficients were observed between the ROSES dimensions from Phase 1 to Phase 2, ranging from 0.66 to 0.88. When considering various confounding variables, chemotherapy treatment and cognitive difficulties (ROSES dimension) emerged as the only significant predictors of RTW.

CONCLUSION

These findings support the utilization of the ROSES in clinical and research settings for BC survivors to improve their successful RTW. After an initial screening using the ROSES, occupational health professionals can further conduct a focused and thorough evaluation of specific dimensions, such as cognitive difficulties. Additional research and information are required to assist BC survivors in dealing with cognitive impairments induced by chemotherapy when they return to work.

Identification and Validation of a Novel Anoikis-Related Gene Signature for Predicting Survival in Patients With Serous Ovarian Cancer

Background

Ovarian cancer is an extremely deadly gynecological malignancy, with a 5-year survival rate below 30%. Among the different histological subtypes, serous ovarian cancer (SOC) is the most common. Anoikis significantly contributes to the progression of ovarian cancer. Therefore, identifying an anoikis-related signature that can serve as potential prognostic predictors for SOC is of great significance.

Methods

We intersected 308 anoikis-related genes (ARGs) and identified those significantly associated with SOC prognosis using univariate Cox regression. A LASSO Cox regression model was constructed and evaluated using Kaplan-Meier and receiver operating characteristic (ROC) analyses in TCGA (The Cancer Genome Atlas) and GSE26193 cohorts. We conducted quantitative real-time polymerase chain reaction (qPCR) to assess mRNA levels and applied bioinformatics to investigate the correlation between risk groups and gene expression, mutations, pathways, tumor immune microenvironment (TIME), and drug sensitivity in SOC.

Results

Among 308 ARGs, 28 were significantly associated with SOC prognosis. A 13-gene prognostic model was established through LASSO Cox regression in TCGA cohort. High-risk group had poorer prognosis than low-risk group (median overall survival (mOS): 34.2 vs. 57.1 months, hazard ratio (HR): 2.590, 95% confidence interval (CI): 0.159 - 6.00, P < 0.001). The area under the curve (AUC) values of 0.63, 0.65, and 0.74 reflected the predictive performance for 3-, 5-, and 8-year overall survival (OS) in GSE26193 validation cohort. Functional enrichment, pathway analysis, and TIME analysis identified distinct characteristics between risk groups. Drug sensitivity analysis revealed potential drug advantages for each group. Furthermore, qPCR validation once again confirmed the effectiveness of the risk model in SOC patients.

Conclusions

We developed and validated a robust ARG model, which could be used to predict OS in SOC patients. By systematically analyzing the correlation between the risk score of the ARGs signature model and various patterns, including the TIME and drug sensitivity, our findings suggest that this prognostic model contributes to the advancement of personalized and precise therapeutic strategies. Nevertheless, further validation studies and investigations into the underlying mechanisms are warranted.

Validation of the Spanish version of the Electronic Facial Palsy Assessment (eFACE)

PURPOSE

The clinician-graded electronic facial paralysis assessment (eFACE) is a relatively new digital tool for assessing facial palsy. The present study aimed to determine the validity and reliability of the Spanish version of the eFACE.

METHODS

Forward-backward translation from the original English version was performed. Videos and photographs from 65 adult patients with unilateral facial paralysis (any severity, time course, and etiology) were evaluated twice by five otolaryngologists with varying levels of experience in facial palsy evaluation. Internal consistency was measured using Cronbach's α and the intra- and inter-rater reliability were measured using intraclass correlation coefficient. Concurrent validity was established by calculating Spearman's rho correlation (ρ) between the eFACE and the House-Brackmann scale (H-B) and Pearson's correlation (r) between the eFACE and the Sunnybrook Facial Grading System (SFGS).

RESULTS

The Spanish version of the eFACE showed good internal consistency (Cronbach's α > 0.8). The intra-rater reliability was nearly perfect for the total score (intraclass correlation coefficient: 0.95-0.99), static score (0.92-0.96), and dynamic score (0.96-0.99) and important-to-excellent for synkinesis score (0.79-0.96). The inter-rater reliability was excellent for the total score (0.85-0.93), static score (0.80-0.90), and dynamic score (0.90-0.95) and moderate-to-important for the synkinesis score (0.55-0.78). The eFACE had a very strong correlation with the H-B (ρ =  - 0.88 and  - 0.85 for each evaluation, p < 0.001) and the SFGS (r = 0.92 and 0.91 each evaluation, p < 0.001).

CONCLUSION

The Spanish version of the eFACE is a reliable and valid instrument for assessment of facial function in the diagnosis and treatment of patients with facial paralysis.

Assessing patient satisfaction with telephone-based consultations before, during and after the COVID-19 pandemic in Spain

OBJECTIVE

To validate a questionnaire to analyze the perception of users of primary care (PC) with telephone consultation (TC), and to study the satisfaction with TC by users of PC services.

DESIGN

A two-phase study was conducted. Firstly, a questionnaire on satisfaction with telemedicine services was validated. Secondly, a cross-sectional study on satisfaction with TC was conducted.

SETTING

PC.

PARTICIPANTS

405 users of PC services in Zaragoza (Spain).

MAIN OUTCOME MEASURE

Our main outcome was the satisfaction with telemedicine services PC services. Factor analysis was carried out using the exploratory factor analysis with Varimax rotation. The reliability of the dimensions obtained was analyzed using Cronbach's alpha. The inferential analysis was conducted using parametric tests.

RESULTS

The questionnaire was a valid and reliable tool (α>0.9) to assess the satisfaction of PC service users with telemedicine services. Before COVID-19, the satisfaction of the users with PC was adequate (mean=6111/10). However, during the COVID-19 the attention in PC centers became mostly telephone-based and satisfaction lowered as disappointing (mean=3555/10). Regarding the future of telemedicine, users considered it as unsatisfactory (mean=2977/10). Being a woman, being unemployed and belonging to an area of low vulnerability led to a worse perception of telemedicine.

CONCLUSION

This questionnaire was a valid and reliable tool to assess the satisfaction of PC service users with telemedicine services. Perceptions of patient satisfaction decreased during COVID-19. Thus, TC seems to be a good option when the patients consider it to be a complementary rather than a substitute tool to follow-up their conditions.

Staged design recommendations for validating relative sensitivity of self-sample human papillomavirus tests for cervical screening

OBJECTIVES

To ensure that the emerging methods for human papillomavirus (HPV) testing on self-collected samples in cervical screening are evaluated robustly.

STUDY DESIGN AND SETTING

We assess paired study designs for relative sensitivity of self-collected vs. traditional clinician-collected samples in detection of high-grade cervical intraepithelial neoplasia.

RESULTS

Designs considered are (D1) both samples at screening, with clinical actions triggered by HPV positivity; (D2) offering a self-sample test to clinician-collected HPV-positive women; (D3) as D2 but using a repeat clinician-sample as comparator; (D4) offering a choice of self- vs. clinician-sampling, and the alternative test in HPV-positive women; (D5) paired samples at referral appointment. D1 is simple to analyze but requires the largest sample size and referral of self-sample positive, clinician-sample negative women. D2 requires a much smaller sample size, and no change to clinical practice, and could be used to rule-in a test because estimates are conservative (against self-sampling). D3 mitigates this bias but requires a second clinician sample. D4 is only manageable where self-sampling already occurs. The liberal D5 might be used to rule-out a self-sampling test.

CONCLUSION

A universal recommendation for an optimal study design is challenging. Staged validation might be useful with D5 as a gatekeeper for D1-D4.

Comprehensive lipid hydrolysis observation in anaerobic digestion

Lipid hydrolysis monitoring, including especially glycerides, is necessary for comprehending the anaerobic digestion process in lipid-rich substrates processing. This reaction has not been investigated in such detail so far, despite its potential to be crucial in assuring a stable process. This study suggested and thoroughly validated an uncomplicated method of monitoring lipid hydrolysis during anaerobic digestion, achieving recovery values >95 % with an average relative standard deviation <5 %. Subsequently, the method was applied on the very first detailed observation of glyceride hydrolysis in the anaerobic sludge, tracking even changes in fatty acid profiles during anaerobic digestion. Results showed that lipid hydrolysis can take several days, thus likely affecting the whole anaerobic digestion of lipids. The method aims to provide answers to improve understanding of lipids' fate and their inhibition phenomena in anaerobic digestion.

European validation of an image-derived AI-based short-term risk model for individualized breast cancer screening-a nested case-control study

Background

Image-derived artificial intelligence (AI)-based risk models for breast cancer have shown high discriminatory performances compared with clinical risk models based on family history and lifestyle factors. However, little is known about their generalizability across European screening settings. We therefore investigated the discriminatory performances of an AI-based risk model in European screening settings.

Methods

Using four European screening populations in three countries (Italy, Spain, Germany) screened between 2009 and 2020 for women aged 45-69, we performed a nested case-control study to assess the predictive performance of an AI-based risk model. In total, 739 women with incident breast cancers were included together with 7812 controls matched on year of study-entry. Mammographic features (density, microcalcifications, masses, left-right breast asymmetries of these features) were extracted using AI from negative digital mammograms at study-entry. Two-year absolute risks of breast cancer were predicted and assessed after two years of follow-up. Adjusted risk stratification performance metrics were reported per clinical guidelines.

Findings

The overall adjusted Area Under the receiver operating characteristic Curve (aAUC) of the AI risk model was 0.72 (95% CI 0.70-0.75) for breast cancers developed in four screening populations. In the 6.2% [529/8551] of women at high risk using the National Institute of Health and Care Excellence (NICE) guidelines thresholds, cancers were more likely diagnosed after 2 years follow-up, risk-ratio (RR) 6.7 (95% CI 5.6-8.0), compared with the 69% [5907/8551] of women classified at general risk by the model. Similar risk-ratios were observed across levels of mammographic density.

Interpretation

The AI risk model showed generalizable discriminatory performances across European populations and, predicted ∼30% of clinically relevant stage 2 and higher breast cancers in ∼6% of high-risk women who were sent home with a negative mammogram. Similar results were seen in women with fatty and dense breasts.

Funding

Swedish Research Council.

Development and internal validation of a clinical prediction model for serious complications after emergency laparotomy

PURPOSE

Emergency laparotomy (EL) is a common operation with high risk for postoperative complications, thereby requiring accurate risk stratification to manage vulnerable patients optimally. We developed and internally validated a predictive model of serious complications after EL.

METHODS

Data for eleven carefully selected candidate predictors of 30-day postoperative complications (Clavien-Dindo grade >  = 3) were extracted from the HELAS cohort of EL patients in 11 centres in Greece and Cyprus. Logistic regression with Least Absolute Shrinkage and Selection Operator (LASSO) was applied for model development. Discrimination and calibration measures were estimated and clinical utility was explored with decision curve analysis (DCA). Reproducibility and heterogeneity were examined with Bootstrap-based internal validation and Internal-External Cross-Validation. The American College of Surgeons National Surgical Quality Improvement Program's (ACS-NSQIP) model was applied to the same cohort to establish a benchmark for the new model.

RESULTS

From data on 633 eligible patients (175 complication events), the SErious complications After Laparotomy (SEAL) model was developed with 6 predictors (preoperative albumin, blood urea nitrogen, American Society of Anaesthesiology score, sepsis or septic shock, dependent functional status, and ascites). SEAL had good discriminative ability (optimism-corrected c-statistic: 0.80, 95% confidence interval [CI] 0.79-0.81), calibration (optimism-corrected calibration slope: 1.01, 95% CI 0.99-1.03) and overall fit (scaled Brier score: 25.1%, 95% CI 24.1-26.1%). SEAL compared favourably with ACS-NSQIP in all metrics, including DCA across multiple risk thresholds.

CONCLUSION

SEAL is a simple and promising model for individualized risk predictions of serious complications after EL. Future external validations should appraise SEAL's transportability across diverse settings.

Correlation of gene expression with magnetic resonance imaging features of retinoblastoma: a multi-center radiogenomics validation study

OBJECTIVES

To validate associations between MRI features and gene expression profiles in retinoblastoma, thereby evaluating the repeatability of radiogenomics in retinoblastoma.

METHODS

In this retrospective multicenter cohort study, retinoblastoma patients with gene expression data and MRI were included. MRI features (scored blinded for clinical data) and matched genome-wide gene expression data were used to perform radiogenomic analysis. Expression data from each center were first separately processed and analyzed. The end product normalized expression values from different sites were subsequently merged by their Z-score to permit cross-sites validation analysis. The MRI features were non-parametrically correlated with expression of photoreceptorness (radiogenomic analysis), a gene expression signature informing on disease progression. Outcomes were compared to outcomes in a previous described cohort.

RESULTS

Thirty-six retinoblastoma patients were included, 15 were female (42%), and mean age was 24 (SD 18) months. Similar to the prior evaluation, this validation study showed that low photoreceptorness gene expression was associated with advanced stage imaging features. Validated imaging features associated with low photoreceptorness were multifocality, a tumor encompassing the entire retina or entire globe, and a diffuse growth pattern (all p < 0.05). There were a number of radiogenomic associations that were also not validated.

CONCLUSIONS

A part of the radiogenomic associations could not be validated, underlining the importance of validation studies. Nevertheless, cross-center validation of imaging features associated with photoreceptorness gene expression highlighted the capability radiogenomics to non-invasively inform on molecular subtypes in retinoblastoma.

CLINICAL RELEVANCE STATEMENT

Radiogenomics may serve as a surrogate for molecular subtyping based on histopathology material in an era of eye-sparing retinoblastoma treatment strategies.

KEY POINTS

• Since retinoblastoma is increasingly treated using eye-sparing methods, MRI features informing on molecular subtypes that do not rely on histopathology material are important. • A part of the associations between retinoblastoma MRI features and gene expression profiles (radiogenomics) were validated. • Radiogenomics could be a non-invasive technique providing information on the molecular make-up of retinoblastoma.

Cross-Cultural Adaptation and Validation of the Korean Version of the Body Image After Mastectomy Scale

OBJECTIVE

This study aimed to evaluate the psychometric properties and validity of the Korean version of the Body Image After Mastectomy Scale (K-BIMS).

METHODS

This validation study was divided into two phases. Phase 1 included the translation of the K-BIMS according to the World Health Organization recommendations, investigation of content validity by five experts, and a pilot study involving 10 participants for the final list of K-BIMS items. The study participants included 156 women who met the inclusion and exclusion criteria to verify the validity-reliability of the K-BIMS. Phase 2 included a validity-reliability analysis of the K-BIMS. This included convergent validity, known-group validity, construct validity assessed by confirmatory factor analysis, and item-total score correlation. We assessed internal consistency using the Cronbach α.

RESULTS

The K-BIMS confirmatory factor analysis demonstrated good fitness of indices and validity including content validity, convergent validity, and known-group validity was satisfactory. Internal consistency reliability was satisfying with a Cronbach α reliability of .89.

CONCLUSIONS

The results revealed that the K-BIMS is a valid and reliable instrument for assessing appearance-based behaviors and beliefs about body image distress among women who underwent reconstructive surgery after mastectomy.

IMPLICATIONS FOR NURSING PRACTICE

To identify individuals who exhibit maladaptive symptoms and are at risk of developing long-term body image problems, the K-BIMS can be used as a point-of-care screening tool. Therefore, the K-BIMS can be used as an early screening tool to proactively offer accessible and affordable solutions.

Computational quality-by-design strategy to validate high-performance liquid chromatography method for the estimation of meloxicam in bulk dosage forms and milk samples

Bovine clinical mastitis has significant repercussions for farmers across the globe. Meloxicam, a COX-2 inhibitor, attenuates mastitis symptoms and is also approved for veterinary use. An RP-HPLC (Reverse Phase-High Performance Liquid Chromatography) method development and validation is essential in the pharmaceutical industry to assess API (Active Pharmaceutical Ingredient) quantity present in the pharmaceutical dosage forms. RP-HPLC method of meloxicam was developed and optimized with the aid of QbD (Quality by Design) using Box-Behnken design (BBD). The pH of the aqueous mobile phase, acetonitrile (ACN) percentage, and column temperature were chosen as influence variables, and retention time (RT) and tailing factor (Tf) were selected as response variables. The optimum experimental conditions were selected as pH ~ 3 of the aqueous mobile phase, 65% v/v ACN, and 30˚C as column temperature. The drug was eluted at 6.02 min RT with 1.18 as Tf. The method was subjected to validation for accuracy, linearity, precision, range, sensitivity, and robustness and was found to comply with ICH Q2 (R1) guidelines. The in vitro bioequivalent studies were performed in hydrochloric acid, pH ~ 1.2; acetate buffer, pH ~ 4.5; and phosphate buffer, pH ~ 6.8 for two veterinary brands of meloxicam tablets, and their release profiles were compared by mathematical models. Both the brands, brand 1 and 2 exhibited significant (Unpaired t-test, P < 0.05) differences in dissolution efficiency (DE) and mean dissolution time (MDT) except DE at pH 1.2. However, brands 1 and 2 showed similarity (f2 > 50) in terms of release of meloxicam except at pH 6.8 (f2 = 47.01). The in vitro release of meloxicam followed Peppas kinetics except for brand 2 at pH 6.8, where it followed the Higuchi model. Moreover, the recovery of meloxicam extracted with ACN in the milk sample was estimated to be 99.67 ± 0.58% significantly (Unpaired t-test, P < 0.05) higher than 90.34 ± 6.77% extracted with methanol. In conclusion, the optimized and validated RP-HPLC method of meloxicam may further be used for the analysis of drug content in pharmaceutical dosage forms in addition to biological fluids.

Evaluation of Wrist-Worn Photoplethysmography Trackers with an Electrocardiogram in Patients with Ischemic Heart Disease: A Validation Study

PURPOSE

Photoplethysmography measurement of heart rate with wrist-worn trackers has been introduced in healthy individuals. However, additional consideration is necessary for patients with ischemic heart disease, and the available evidence is limited. The study aims to evaluate the validity and reliability of heart rate measures by a wrist-worn photoplethysmography (PPG) tracker compared to an electrocardiogram (ECG) during incremental treadmill exercise among patients with ischemic heart disease.

METHODS

Fifty-one participants performed the standard incremental treadmill exercise in a controlled laboratory setting with 12-lead ECG attached to the patient's body and wearing wrist-worn PPG trackers.

RESULTS

At each stage, the absolute percentage error of the PPG was within 10% of the standard acceptable range. Further analysis using a linear mixed model, which accounts for individual variations, revealed that PPG yielded the best performance at the baseline low-intensity exercise. As the stages progressed, heart rate validity decreased but was regained during recovery. The reliability was moderate to excellent.

CONCLUSIONS

Low-cost trackers AMAZFIT Cor and Bip validity and reliability were within acceptable ranges, especially during low-intensity exercise among patients with ischemic heart disease recovering from cardiac procedures. Though using the tracker as part of the diagnosis tool still requires more supporting studies, it can potentially be used as a self-monitoring tool with precautions.

[Intercultural adaptation of the PUKSoPC in German language : A scale for perceived control in patients with Parkinson's disease]

BACKGROUND

The level of perceived control in people with Parkinson's disease plays a significant role in affecting their quality of life. Simpson et al. developed a scale of perceived control specific to Parkinson's disease called the Parkinson's UK Scale of Perceived Control (PUKSoPC). In this work, we present a cross-culturally adapted German translation of the original English version.

METHODS

After receiving approval by the original authors, an internationally established procedure was used for cross-cultural adaptation. Firstly, the original English version was translated into German independently by two bilingual neuroscientists, who then agreed on a consensus version. This was tested on 10 people with Parkinson's disease and independently back translated into English by two different neuroscientists. After forming a consensus version, this English version was compared with the original version by all four translators. Differences between the versions resulted in modifications to the German translation so that the back translation matched the original as closely as possible. The final version was approved by two of the original authors and clinically tested on 50 people with Parkinson's disease.

RESULTS

During the translation process, the four translators agreed on a culturally adapted German version of the PUKSoPC. Testing of the final version on 50 people with Parkinson's disease did not reveal any linguistic or content-related problems.

CONCLUSION

The linguistically validated German version of the PUKSoPC presented in this paper is now freely available for measuring the levels of perceived control in people with Parkinson's disease to advance both research and clinical practice.

MS bladder check tool: Development and validation of a patient awareness tool to facilitate timely management of lower urinary tract dysfunction due to multiple sclerosis

BACKGROUND

Lower urinary tract dysfunction impacts quality of life of people with MS; often, symptoms are 'lived with' or deprioritised by healthcare providers (HCPs). Consequently, patients must be given the skills they need to become confident in managing their illness and enhance their involvement in the process.

OBJECTIVE

To develop and validate a self-assessment tool to help people with MS become more aware of their bladder symptoms and prompt contact with their HCP to facilitate timely management and specialist referral, if required.

METHODS

The 'MS bladder check tool' was developed by a multidisciplinary panel of specialist advisors. Consensus meetings and pilot testing were conducted to design and evolve the tool into a series of nine questions, using population-appropriate language, and covering all aspects of bladder dysfunction in MS. The tool was then validated by an international, multidisciplinary team of experts.

RESULTS

Validity was rated 'excellent' for all questions indicating that the MS bladder check tool is an appropriate method of highlighting bladder problems in people with MS.

CONCLUSION

The MS bladder check tool is simple, easy-to-use, and empowers patients to take charge of their urinary tract health, aiming to improve the management of MS and, ultimately, patient quality of life.

The Hip-spine Assessment of a Novel Surgical Planning Software Provides Acetabular Component Targets That Are Reliable and in Agreement With Current Clinical Recommendations

Background

Spinopelvic immobility has been reported to increase dislocation risk following total hip arthroplasty. Surgically placing acetabular components in a functional orientation has been shown to mitigate risk. The aim of this study was to evaluate the validity and reliability of novel surgical planning software to generate clinically recommended cup targets.

Methods

Hip-spine assessments were performed retrospectively on 40 patients. Five reviewers, including 3 arthroplasty-trained surgical fellows and 2 clinical research scientists performed the assessments. Hip-spine assessments consisted of measuring anterior pelvic plane tilt, sacral slope, pelvic incidence, and lumbar lordosis on standing anteroposterior pelvis and lateral standing and seated hip-spine images. Generated cup targets and a control group (40°/20° relative to the anterior pelvic plane) were compared to clinically recommended cup targets. Agreement was defined as a cup position within the recommended range or within 3° of a specific target (eg, 40° inclination) when no range was provided. Intraclass correlation coefficients were used to assess interrater and intrarater reliability, and McNemar's chi-square test was used to measure success relative to the control group.

Results

The intraclass correlation coefficient was 0.88 for delta sacral slope and 0.92 for pelvic incidence-lumbar lordosis mismatch. For patients with spinopelvic risk factors, the generated targets matched the clinical recommendations in 81% of patients compared to only 16% in the control group.

Conclusions

Excellent interrater and intrarater reliability was achieved using the novel surgical planning software. The resultant target values agreed with clinical recommendations to a greater extent than the control group.

Evaluation status of current and emerging minimally invasive robotic surgical platforms

BACKGROUND

The rapid adoption of robotics within minimally invasive surgical specialties has also seen an explosion of new technology including multi- and single port, natural orifice transluminal endoscopic surgery (NOTES), endoluminal and "on-demand" platforms. This review aims to evaluate the validation status of current and emerging MIS robotic platforms, using the IDEAL Framework.

METHODS

A scoping review exploring robotic minimally invasive surgical devices, technology and systems in use or being developed was performed, including general surgery, gynaecology, urology and cardiothoracics. Systems operating purely outside the abdomen or thorax and endoluminal or natural orifice platforms were excluded. PubMed, Google Scholar, journal reports and information from the public domain were collected. Each company was approached via email for a virtual interview to discover more about the systems and to quality check data. The IDEAL Framework is an internationally accepted tool to evaluate novel surgical technology, consisting of four stages: idea, development/exploration, assessment, and surveillance. An IDEAL stage, synonymous with validation status in this review, was assigned by reviewing the published literature.

RESULTS

21 companies with 23 different robotic platforms were identified for data collection, 13 with national and/or international regulatory approval. Of the 17 multiport systems, 1 is fully evaluated at stage 4, 2 are stage 3, 6 stage 2b, 2 at stage 2a, 2 stage 1, and 4 at the pre-IDEAL stage 0. Of the 6 single-port systems none have been fully evaluated with 1 at stage 3, 3 at stage 1 and 2 at stage 0.

CONCLUSIONS

The majority of existing robotic platforms are currently at the preclinical to developmental and exploratory stage of evaluation. Using the IDEAL framework will ensure that emerging robotic platforms are fully evaluated with long-term data, to inform the surgical workforce and ensure patient safety.

Design and Validation of a Clinical Outcome Measure for Adolescents and Adult Patients with Spinal Muscular Atrophy: SMA Life Study Protocol

INTRODUCTION

The objective of this study is to develop a clinical tool for the evaluation and follow-up of adolescent and adult patients with 5q spinal muscular atrophy (SMA) and to design its validation.

METHODS

This prospective, non-interventional study will be carried out at five centres in Spain and will include patients aged 16 years or older with a confirmed diagnosis of 5q SMA (biallelic mutation of the survival motor neuron 1 [SMN1] gene). A panel of experts made up of neurologists, physiatrists and Spanish patients' association (FundAME), participated in the design of the clinical tool. Physicians will administer the tool at three time points (baseline, 12 months and 24 months). Additionally, data from other questionnaires and scales will be collected. Once recruitment is achieved, an interim statistical analysis will be performed to assess its psychometric properties by applying Rasch analysis and classical statistical tests.

RESULTS

The tool will consist of up to 53 items to assess functional status from a clinical perspective in seven key dimensions (bulbar, respiratory, axial, lower, upper, fatigability and other symptoms), which will be collected together with objective clinical measures (body mass index, forced vital capacity, pinch strength and 6-minute walk test).

CONCLUSIONS

The validation of this tool will facilitate the clinical evaluation of adult and adolescent patients with SMA and the quantification of their response to new treatments in both clinical practice and research.

Validation and impact of algorithms for identifying variables in observational studies of routinely collected data

BACKGROUND AND OBJECTIVES

Among observational studies of routinely collected health data (RCD) for exploring treatment effects, algorithms are used to identify study variables. However, the extent to which algorithms are reliable and impact the credibility of effect estimates is far from clear. This study aimed to investigate the validation of algorithms for identifying study variables from RCD, and examine the impact of alternative algorithms on treatment effects.

METHODS

We searched PubMed for observational studies published in 2018 that used RCD to explore drug treatment effects. Information regarding the reporting, validation, and interpretation of algorithms was extracted. We summarized the reporting and methodological characteristics of algorithms and validation. We also assessed the divergence in effect estimates given alternative algorithms by calculating the ratio of estimates of the primary vs. alternative analyses.

RESULTS

A total of 222 studies were included, of which 93 (41.9%) provided a complete list of algorithms for identifying participants, 36 (16.2%) for exposure, and 132 (59.5%) for outcomes, and 15 (6.8%) for all study variables including population, exposure, and outcomes. Fifty-nine (26.6%) studies stated that the algorithms were validated, and 54 (24.3%) studies reported methodological characteristics of 66 validations, among which 61 validations in 49 studies were from the cross-referenced validation studies. Of those 66 validations, 22 (33.3%) reported sensitivity and 16 (24.2%) reported specificity. A total of 63.6% of studies reporting sensitivity and 56.3% reporting specificity used test-result-based sampling, an approach that potentially biases effect estimates. Twenty-eight (12.6%) studies used alternative algorithms to identify study variables, and 24 reported the effects estimated by primary analyses and sensitivity analyses. Of these, 20% had differential effect estimates when using alternative algorithms for identifying population, 18.2% for identifying exposure, and 45.5% for classifying outcomes. Only 32 (14.4%) studies discussed how the algorithms may affect treatment estimates.

CONCLUSION

In observational studies of RCD, the algorithms for variable identification were not regularly validated, and-even if validated-the methodological approach and performance of the validation were often poor. More seriously, different algorithms may yield differential treatment effects, but their impact is often ignored by researchers. Strong efforts, including recommendations, are warranted to improve good practice.

Impact of genetic counseling strategy on diagnostic yield and workload for genome-sequencing-based tumor diagnostics

PURPOSE

Genome sequencing (GS) enables comprehensive molecular analysis of tumors and identification of hereditary cancer predisposition. According to guidelines, directly determining pathogenic germline variants (PGVs) requires pretest genetic counseling, which is cost-ineffective. Referral for genetic counseling based on tumor variants alone could miss relevant PGVs and/or result in unnecessary referrals.

METHODS

We validated GS for detection of germline variants and simulated 3 strategies using paired tumor-normal GS data of 937 metastatic patients. In strategy-1, genetic counseling before tumor testing allowed direct PGV analysis. In strategy-2 and -3, germline testing and referral for post-test genetic counseling is based on tumor variants using Dutch (strategy-2) or Europen Society for Medical Oncology (ESMO) Precision Medicine Working Group (strategy-3) guidelines.

RESULTS

In strategy-1, PGVs would be detected in 50 patients (number-needed-to counsel; NTC = 18.7). In strategy-2, 86 patients would have been referred for genetic counseling and 43 would have PGVs (NTC = 2). In strategy-3, 94 patients would have been referred for genetic counseling and 32 would have PGVs (NTC = 2.9). Hence, 43 and 62 patients, respectively, were unnecessarily referred based on a somatic variant.

CONCLUSION

Both post-tumor test counseling strategies (2 and 3) had significantly lower NTC, and strategy-2 had the highest PGV yield. Combining pre-tumor test mainstreaming and post-tumor test counseling may maximize the clinically relevant PGV yield and minimize unnecessary referrals.

Screening for affective dysregulation in school-aged children: relationship with comprehensive measures of affective dysregulation and related mental disorders

Affective dysregulation (AD) is characterized by irritability, severe temper outbursts, anger, and unpredictable mood swings, and is typically classified as a transdiagnostic entity. A reliable and valid measure is needed to adequately identify children at risk of AD. This study sought to validate a parent-rated screening questionnaire, which is part of the comprehensive Diagnostic Tool for Affective Dysregulation in Children (DADYS-Screen), by analyzing relationships with comprehensive measures of AD and related mental disorders in a community sample of children with and without AD. The sample comprised 1114 children aged 8-12 years and their parents. We used clinical, parent, and child ratings for our analyses. Across all raters, the DADYS-Screen showed large correlations with comprehensive measures of AD. As expected, correlations were stronger for measures of externalizing symptoms than for measures of internalizing symptoms. Moreover, we found negative associations with emotion regulation strategies and health-related quality of life. In receiver operating characteristic (ROC) analyses, the DADYS-Screen adequately identified children with AD and provided an optimal cut-off. We conclude that the DADYS-Screen appears to be a reliable and valid measure to identify school-aged children at risk of AD.

Validation of a multiplex-tandem RT-PCR for the detection of bovine respiratory disease complex using Scottish bovine lung samples

The welfare and economic impact of bovine respiratory disease complex (BRDC), and its associated antibiotic usage, are major challenges to cattle rearing and beef cattle finishing industries. Accurate pathogen diagnosis is important to undertake appropriate treatment and long-term management strategies, such as vaccine selection. Conventional diagnostic approaches have several limitations including high costs, long turnaround times and difficulty in test interpretation, which could delay treatment decisions and lead to unnecessary animal losses. We describe the validation of a multiplex-tandem (MT) reverse transcription-polymerase chain reaction (RT-PCR) for the detection of seven common pathogens associated with BRDC. This test has the potential to advance pathogen identification and to overcome many of the limitations of current testing methods. It requires a single sample and results are obtained quickly and not influenced by prior antimicrobial therapy or overgrowth of contaminating organisms. We demonstrated a test specificity of 100% and sensitivity ranging from 93.5% to 100% for these seven common pathogens. This test will be a useful addition to advance BRDC investigation and diagnosis.

Development and validation of the Japanese version of the Bedtime Procrastination Scale (BPS-J)

BACKGROUND

The average sleep duration of Japanese people is shorter than that of people from other countries, and bedtime procrastination is suspected to be one of the factors contributing to this issue. This study aimed to develop and validate the Japanese version of the Bedtime Procrastination Scale (BPS-J).

METHODS

The BPS-J was developed through procedures including the translation and back-translation of the scale, cognitive interviews with 100 participants who reported having experiences of being diagnosed with insufficient sleep syndrome (ISS) or receiving treatment for ISS using open-ended online questionnaires, and expert checking. To investigate the scale's validity and reliability, an online survey was conducted with daytime workers aged 20 - 65 years without a history of sleep disorders other than ISS. Half the participants were retested using the same survey after 14 days. Participants' responses to the Brief Self-Control Scale (BSCS), General Procrastination Scale (GPS), and Munich ChronoType Questionnaire (MCTQ), and data on sleep-related variables such as sleep duration on workdays and the days per week of fatigue or sleep loss, sex, and age, were collected.

RESULTS

We analyzed data from 574 participants to assess scale validity. We then analyzed data from 280 participants to determine test-retest reliability. Confirmatory factor analyses revealed that the two-factor model without Item 2 was most suitable for the BPS-J, unlike other language versions. Regardless of the full-item model or the model with Item 2 eliminated, sufficient reliability and significant correlations with the BSCS, GPS, MCTQ, and sleep-related variables such as sleep duration per night on work days, days per week of feeling fatigued, and days per week of sleep loss were observed. Logistic and linear regressions showed that the relationships between the BPS-J, sleep-related variables, and MCTQ were maintained after adjusting for sex and age.

CONCLUSION

The BPS-J had sufficient validity and reliability. Further, eliminating Item 2 from the original version of the BPS strengthened the ability to survey Japanese daytime workers.

An Enhanced Spine Model Validated for Simulating Dynamic Lifting Tasks in OpenSim

A fully articulated thoracolumbar spine model had been previously developed in OpenSim and had been extensively validated against experimental data during various static tasks. In the present study, we enhanced this detailed musculoskeletal model by adding the role of passive structures and adding kinematic constraints to make it suitable for dynamic tasks. We validated the spinal forces estimated by this enhanced model during nine dynamic lifting/lowering tasks. Moreover, we recently developed and evaluated five approaches in OpenSim to model the external loads applied to the hands during lifting/lowering tasks, and in the present study, we assessed which approach results in more accurate spinal forces. Regardless of the external load modeling approach, the maximum forces predicted by our enhanced spine model across all tasks, as well as the pattern of estimated spinal forces within each task, showed strong correlations (r-values and cross-correlation coefficients > 0.9) with experimental data. Given the biofidelity of our enhanced model, its accessibility via the open-source OpenSim software, and the extent to which this model has been validated, we recommend it for applications requiring estimation of spinal forces during lifting/lowering tasks using multibody-based models and inverse dynamic analyses.

Developing and Validating the Diversity, Equity, Inclusion, and Antiracism Faculty Perceptions of College Climate (DEIA FPCC) Scale in Pharmacy Faculty

OBJECTIVE

This work's objective was to demonstrate acceptable reliability and consistency within and across each domain of the survey tool.

METHODS

A survey with 16 questions was distributed to faculty from the AACP membership list and contained 4 domains: DEIA. The survey responses were analyzed using factor analysis and reliability analysis.

RESULTS

A total of 877 subjects' responses met inclusion criteria and were used in the analysis. The results demonstrated that the survey had high reliability and discriminating validity within each domain and overall as a scale.

CONCLUSION

The finalized tool provides a practical, standardized measure to evaluate faculty perceptions of DEIA efforts in institutions of pharmacy education. This tool can help identify areas of improvement and guide the advancement of DEIA initiatives in colleges of pharmacy. Further research is needed to validate the survey in other populations. Future efforts will also explore predictors of survey scores.

The Validation of the Selective Mutism Questionnaire for Use in the Dutch Population

Selective mutism (SM) is an anxiety disorder in children/adolescents, characterized by the absence of speaking in specific social situations, mostly at school. The selective mutism questionnaire (SMQ) is a parent report, internationally used to assess SM symptomatology and treatment outcomes. Since no assessment instrument for SM was available in the Netherlands, our aim was to investigate the psychometric properties of the Dutch translation of the SMQ, through reliability, confirmatory factor, and ROC analyses conducted on data obtained in 303 children (ages 3-17 years; clinical SM group n = 106, control group n = 197). The SMQ turned out to be highly reliable (α = 0.96 in the combined sample; 0.83 within the clinical group) and followed the expected factor structure. We conclude that the Dutch version of the SMQ is a reliable and valid tool both as a screening and clinical instrument to assess SM in Dutch speaking children.

S100A12 protein as a porcine health status biomarker when quantified in saliva samples

The S100A12 protein was validated as a biomarker of health status in porcine saliva samples using a semi-quantitative approach based on Western blotting in four healthy and sixteen diseased animals, and in four animals with severe respiratory disease during three days of antibiotic therapy. Afterwards, a non-competitive sandwich immunoassay was then developed, validated, and used to quantify S100A12 in clinical porcine samples, using 14 healthy and 25 diseased pigs. Finally, the S100A12 concentrations in the saliva of ten pigs with respiratory disease were monitored during antibiotic therapy. Diseased animals showed higher concentrations of S100A12 than healthy animals, and the high concentrations of S100A12 in pigs with respiratory distress were reduced after antimicrobial therapy. The assay developed showed good precision and accuracy, as well as a low limit of detection of 3.19 ng/mL. It was possible to store saliva samples at -20 °C, or even at 4 °C, for two weeks before analysis without losing the validity of the results. The concentrations of S100A12 observed in serum and saliva samples showed a moderately positive association with a correlation coefficient of 0.48. The concentrations of the new validated biomarker S100A12 are highly associated with the novel salivary biomarker of inflammation, adenosine deaminase, and moderately to highly associated with the total oxidant status. The results reported in this study provide a new way of evaluating inflammatory diseases in pigs using saliva samples, which should be further explored for disease prevention and monitoring in the field.

Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking-a cardiovascular MR study in health and disease

OBJECTIVES

The analysis of myocardial deformation using feature tracking in cardiovascular MR allows for the assessment of global and segmental strain values. The aim of this study was to compare strain values derived from artificial intelligence (AI)-based contours with manually derived strain values in healthy volunteers and patients with cardiac pathologies.

MATERIALS AND METHODS

A cohort of 136 subjects (60 healthy volunteers and 76 patients; of those including 46 cases with left ventricular hypertrophy (LVH) of varying etiology and 30 cases with chronic myocardial infarction) was analyzed. Comparisons were based on quantitative strain analysis and on a geometric level by the Dice similarity coefficient (DSC) of the segmentations. Strain quantification was performed in 3 long-axis slices and short-axis (SAX) stack with epi- and endocardial contours in end-diastole. AI contours were checked for plausibility and potential errors in the tracking algorithm.

RESULTS

AI-derived strain values overestimated radial strain (+ 1.8 ± 1.7% (mean difference ± standard deviation); p = 0.03) and underestimated circumferential (- 0.8 ± 0.8%; p = 0.02) and longitudinal strain (- 0.1 ± 0.8%; p = 0.54). Pairwise group comparisons revealed no significant differences for global strain. The DSC showed good agreement for healthy volunteers (85.3 ± 10.3% for SAX) and patients (80.8 ± 9.6% for SAX). In 27 cases (27/76; 35.5%), a tracking error was found, predominantly (24/27; 88.9%) in the LVH group and 22 of those (22/27; 81.5%) at the insertion of the papillary muscle in lateral segments.

CONCLUSIONS

Strain analysis based on AI-segmented images shows good results in healthy volunteers and in most of the patient groups. Hypertrophied ventricles remain a challenge for contouring and feature tracking.

CLINICAL RELEVANCE STATEMENT

AI-based segmentations can help to streamline and standardize strain analysis by feature tracking.

KEY POINTS

• Assessment of strain in cardiovascular magnetic resonance by feature tracking can generate global and segmental strain values. • Commercially available artificial intelligence algorithms provide segmentation for strain analysis comparable to manual segmentation. • Hypertrophied ventricles are challenging in regards of strain analysis by feature tracking.

Initial validation of the university of Alabama Birmingham study of aging life-space assessment in older adults with multiple sclerosis

BACKGROUND

Older adults with multiple sclerosis (OAMS) have declines in walking and physical performance that may erode community mobility defined as the spatial extent of mobility in one's daily life and environment.

OBJECTIVE

This study provided the first application and validation of the University of Alabama Birmingham Study of Aging Life-Space Assessment (UAB LSA) as a measure of community mobility in OAMS.

METHODS

The sample included 97 OAMS and 108 healthy controls (HCs) who completed baseline assessments as part of an ongoing, longitudinal study. The primary assessments included the UAB LSA and timed 25-foot walk (T25FW), short physical performance battery (SPPB), global health score (GHS), and geriatric depression scale (GDS) in both OAMS and HCs, and patient determined disease steps (PDDS) scale in only OAMS.

RESULTS

OAMS had significantly lower UAB LSA scores than HCs (p < .001). UAB LSA scores had strong correlations with T25FW(rs = -.641) and SPPB(rs = 0.507) in OAMS, and moderate correlations in HCs (rs = -.300 & rs = 0.384). The correlations between UAB LSA and GHS and GDS scores were significant, but small in OAMS (rs = -.239 & rs = -.231), and not statistically significant in HCs (rs = -.009 & rs = -.166). There was a strong correlation between UAB LSA and PDDS scores in the OAMS sample (rs = -.605).

CONCLUSION

We provided initial evidence for UAB LSA scores as a measure of community mobility in OAMS.

Validation and psychometric testing of the Chinese version of the prenatal body image questionnaire

BACKGROUND

The body image during pregnancy potentially affects both short- and long-term maternal and child health outcomes, including pregnancy mood, postpartum weight recovery, and the quality of mother-child interactions. However, research on the impact of body changes during pregnancy in the Chinese population is scarce. A comprehensive, practical, and reliable tool for assessing pregnant women is needed to detect, intervene in, and implement the reduction of physical dissatisfaction risk. This study translated the Prenatal Body Image Questionnaire (PBIQ) into the Chinese version (PBIQ-C) to assess the body image of pregnant women and evaluated its reliability and validity.

METHODS

An improved Brislin translation model was used for the translation. A panel of experts determined the content validity. A convenience sample of 429 pregnant women was chosen from three third-class hospitals in different regions of Fujian Province, China. Factor analysis, Pearson's correlation, retest reliability, and Cronbach's alpha were employed to evaluate structural validity and reliability.

RESULTS

The final PBIQ-C had five dimensions with 21 items. Exploratory factor analysis obtained a five-factor solution, which accounted for a total of 60.34%. Confirmatory factor analysis showed that the model fit of the five-factor model also reached a satisfactory model fit after modifying: The Comparative Fit Index was 0.93, and the Tucker-Lewis Index was 0.92; the Root Mean Square Error of Approximation was 0.079. The content validity index of the scale ranged from 0.63 ~ 1.00. The Cronbach's alpha coefficient was 0.95 for the total scale, and the test-retest reliability was 0.80.

CONCLUSIONS

The findings indicated that the PBIQ-C is a valid and reliable instrument for assessing women's body image during pregnancy, which helps in the early identification of body dissatisfaction during pregnancy and enables the early prevention of postpartum depression.

Validation of the Patient-Reported Outcomes Measurement Information System (PROMIS®) physical function questionnaire in late-onset Pompe disease using PROPEL phase 3 data

BACKGROUND

The construct validity and interpretation of the Patient-Reported Outcome Measurement Information System (PROMIS®) Physical Function short form 20a (PF20a) questionnaire were evaluated for patients with late-onset Pompe disease (LOPD), a rare, autosomal recessive, progressive neuromuscular disorder treatable by enzyme replacement therapy (ERT).

METHODS

In the phase 3 PROPEL study, adults with LOPD underwent testing of physical functioning and had PRO measurements at baseline and at weeks 12, 26, 38, and 52 while receiving experimental or standard-of-care ERT. All patients were pooled for analyses, without comparisons between treatment groups. Associations and correlations between PROMIS PF20a scores and the 6-minute walk distance (6MWD), % predicted forced vital capacity (FVC), manual muscle test (MMT) of the lower extremities, Gait, Stairs, Gowers' maneuver, Chair (GSGC) score, and Rasch-built Pompe-specific Activity (R-PAct) scale were evaluated by calculating regression coefficients in linear regression models and Pearson correlation coefficients (R); patients' age, sex, race, ERT prior to study, body mass index, and study treatment were included as covariables. The minimal clinically important difference (MCID) of PROMIS PF20a was determined using distribution- and anchor-based methods.

RESULTS

123 patients received at least 1 dose of ERT. In multivariable analyses, PROMIS PF20a scores had strong correlations with R-PAct scores (R = 0.83 at baseline and R = 0.67 when evaluating changes between baseline and 52 weeks) and moderate correlations with the 6MWD (R = 0.57 at baseline and R = 0.48 when evaluating changes between baseline and 52 weeks). Moderate correlations were also observed between PROMIS PF20a and MMT (R = 0.54), GSGC (R=-0.51), and FVC (R = 0.48) at baseline. In multivariable linear regression models, associations were significant between PROMIS PF20a and 6MWD (P = 0.0006), MMT (P = 0.0034), GSGC (P = 0.0278), and R-PAct (P < 0.0001) at baseline, between PROMIS PF20a and 6MWD (P < 0.0001), FVC (P = 0.0490), and R-PAct (P < 0.0001) when combining all measurements, and between PF20a and 6MWD (P = 0.0016) and R-PAct (P = 0.0001) when evaluating changes in scores between baseline and 52 weeks. The anchor-based and distribution-based MCID for a clinically important improvement for PROMIS PF20a were 2.4 and 4.2, respectively.

CONCLUSIONS

PROMIS PF20a has validity as an instrument both to measure and to longitudinally follow physical function in patients with LOPD.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03729362. Registered 2 November 2018, https://www.

CLINICALTRIALS

gov/search?term=NCT03729362 .

Validation of the Apnealink Air for diagnosis of obstructive sleep apnoea (OSA) in pregnant women in early-mid gestation

PURPOSE

The detection of obstructive sleep apnoea (OSA) in pregnant women in early-mid gestation is logistically difficult. Accurate alternates to polysomnography (PSG) in early pregnancy are not well identified. We compared the agreement between Apnealink Air (AL) and existing screening questionnaires to PSG in pregnant women ≤ 24-week gestation.

METHODS

Pregnant women (≤ 24-week gestation) underwent AL at home plus attended PSG in any order, completed within 7 days where practicable. AL was manually scored (AL(M)) and automatically scored (AL(A)). An apnoea-hypopnea index (AHI) ≥ 5 was considered diagnostic of OSA and an AHI ≥ 15 considered at least moderate OSA. Diagnostic analysis was undertaken (sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV)) by generating receiver operating characteristic (ROC) curves and an area under the curve (AUC) (95% CI). Bland-Altman plots were used to plot agreement. Screening questionnaires (Epworth sleepiness score (ESS), STOP-BANG, calculated pregnancy-specific screening tool) were compared to PSG.

RESULTS

A total of 49 participants successfully completed both tests at around 14-weeks gestation (IQR 12.9, 17.1). The time interval between AL and PSG was a median of 2 days (IQR 1, 5 (range 1-11)). A total of 14 (29%) participants had OSA. The median AHI of AL(A) (3.1(IQR 0.85,4.6)) and AL(M) (IQR2.4(0.65,4.8)) did not differ from PSG (1.7(IQR1.0,6.1)). AL(A) and AL(M) compared to PSG demonstrated diagnostic test accuracy (area under curve (ROC)) of 0.94(95% CI 0.87-1.0) and 0.92(95% CI 0.85-1.0) respectively. Apnealink Air outperformed screening questionnaires tested.

CONCLUSION

The findings suggest that Apnealink may provide a substitute to attended PSG identification of OSA in pregnant women in early-mid gestation using both manual and auto-scoring methods.

Current Trends in the Biomarker'sDiscovery for the Treatment and Management of Colorectal Cancer: A ComprehensiveReview

Colorectal cancer (CRC) is a significant health issue, with countless individuals suffering. With its bleak outlook, the number of deaths caused by CRC can only be reduced if new diagnostic and prognostic biomarkers are identified and developed quickly. Recent developments in screening programme development and patient management have been encouraging, but many unanswered questions still need to be addressed before a customized colorectal cancer approach can be implemented. Prevention of diseases, the detection of them in their early stages, the analysis of the severity, and the treatment of any metastasized diseases are all paramount. Despite the increased utilization of genetic profiles in decision-making processes, such as the selection of therapy and predicting drug response, there are only a limited number of validated biomarkers for colorectal cancer that are suitable for clinical practice. To further research into colorectal carcinogenesis, pinpoint prospective indicators, and validate these indicators, creating non-intrusive, sensitive, and exact biomarkers is an urgent requirement. This procedure is reliant on translational proteomics. This investigation serves as a comprehensive resource on the current state of genetic and epigenetic biomarkers in diagnosing, predicting, and evaluating colorectal cancer. It underscores the transformative potential of these biomarkers in advancing CRC patient care, from early detection to personalized treatment strategies. However, it also underscores the need for ongoing research and validation to realize their clinical utility fully.