Effective Screening Tool Research Articles

Expert opinion regarding early screening, patient awareness, and telemedicine practices in Indian settings

Objective: To collect clinicians’ perspectives regarding the significance of early screening, patient awareness, and telemedicine practice in routine Indian settings for diabetes management. Methodology: The study employed a 25-item questionnaire to gather insights from specialists across different Indian settings regarding their perspectives on early screening, patient awareness, and telemedicine practices among diabetologists. Results: According to the cross-sectional survey, 59% of respondents believed that regular awareness programs were helpful in the early screening of diabetes among high-risk individuals. Meanwhile, 64% of clinicians reported that clinical-level screening was a more effective tool for early screening. Around 74% of clinicians reported that microvascular complications namely diabetic retinopathy, diabetic neuropathy, and diabetic kidney diseases should be targeted during early screening of diabetes. The American Diabetes Association (ADA) risk score was the most commonly used risk score for early diabetes screening, according to 54% of clinicians. Moreover, 67% of clinicians reported that 11 to 25% of diabetic individuals had complications of lipitension, and 64% reported that 11 to 20% of T2DM individuals had depression. Regarding telemedicine, 65% of clinicians preferred to use it occasionally. However, at an individual level, factors like cost, literacy, less familiarity with using the tool, and emotional reasons hindered the effective adoption of telemedicine, as reported by 56% of clinicians. Conclusion: The survey highlighted the effectiveness of awareness programs and clinical-level screening for early diabetes management, emphasizing the importance of targeting microvascular complications. Increased prevalence of complications like lipitension and depression was noted in diabetic individuals. Telemedicine, though recognized as valuable, faces challenges due to individual-level factors.

Language lateralization in temporal lobe epilepsy: A behavioral screening tool for surgical planning.

Temporal lobe epilepsy can disturb eloquent areas, affecting language. We applied a visually-mediated task to measure lateralization of language recognition in drug-resistant temporal lobe epilepsy. Patients with left (n = 26), right (n = 28) temporal lobe epilepsy and controls (n = 30) were administered the translingual lexical decision task. We performed repeated measures analyses of variance, with the visual half-field as an intrasubject factor and the group as an intersubject factor. A main effect of visual half-field was found, showing the right visual field (left hemisphere) advantage for both accuracy and response time. A main effect of the group was found in accuracy, showing that both epilepsy groups performed less accurately than controls, and left temporal lobe epilepsy performed less accurately than right temporal lobe epilepsy. Also, the group-by-visual half-field interaction was significant. Post hoc t tests indicated the controls and right temporal lobe epilepsy performed better in the right visual field than in the left visual field, whereas no visual half-field effect was found in left temporal lobe epilepsy. For response times, the interaction was also significant. Post hoc t tests showed a significant right visual-field advantage for controls (two-tailed) and for the right temporal lobe epilepsy (one-tailed). Right visual-field advantage was absent in left temporal lobe epilepsy. The translingual lexical decision task can efficiently distinguish between left and right temporal lobe epilepsy. Compared to right temporal lobe epilepsy and controls, language lateralization is diminished in left temporal lobe epilepsy. The potential use of the translingual lexical decision task as an effective noninvasive presurgical language lateralization screening tool is highlighted. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Diagnostic performance of quantitative ultrasonography for hepatic steatosis in a health screening program: a prospective single-center study.

This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) as the reference standard. This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Paradoxical Embolism in Juveniles and Young Adults With Severe-to-Profound Sudden Sensorineural Hearing Loss.

Objective: Paradoxical embolism from right-to-left shunting is a common cause of cryptogenic stroke in the young. Circulatory ischemia of the cochlea is closely connected with severe-to-profound sudden sensorineural hearing loss. This study aimed to explore the role of paradoxical embolism in severe-to-profound sudden sensorineural hearing loss in juveniles and young adults. Methods: From August 2021 to September 2022, consecutive outpatients under 35 years of age with severe-to-profound sudden hearing loss were included in the study. Routine auditory electrophysiological testing and contrast transcranial Doppler ultrasonography (c-TCD) were conducted, and the results were retrospectively analyzed. Results: Seven patients (age: 19.4 ± 6.5 years) were enrolled, including 5 juveniles and 2 young adults. Three patients had severe deafness, and 4 patients had profound deafness. Right-to-left shunting was detected in all patients through c-TCD. Patent foramen ovale was found in 2 patients while pulmonary arteriovenous fistula was found in 1 patient through contrast transthoracic echocardiography or cardiac catheterization. No patients had precipitating factors for sudden sensorineural hearing loss, and none had abnormalities on head magnetic resonance imaging. Six patients underwent whole-exome sequencing, and no known deafness gene variant was detected. After standard treatment for 1 month, 2, 3, and 2 patients had complete, slight, and no hearing recovery, respectively. Conclusions: Paradoxical embolism is a possible cause of severe-to-profound sudden sensorineural hearing loss in juveniles and young adults. In young patients, c-TCD is an effective screening tool to detect right-to-left shunting, while contrast transthoracic echocardiography is a complementary examination to c-TCD.

Linear regression model for metal–organic frameworks with CO2 adsorption based on topological data analysis

Metal–organic frameworks (MOFs), self-assembled porous materials synthesized from metal ions and organic ligands, are promising candidates for the direct capture of CO2 from the atmosphere. In this work, we developed a regression model to predict the optimal component of the MOF that governs the amount of CO2 adsorption per volume based on experimentally observed adsorption and structure data combined with MOF adsorption sites. The structural descriptors were generated by topological data analysis with persistence diagrams, an advanced mathematical method for quantifying the rings and cavities within the MOF. This enables us to analyze direct effects and significance of the geometric structure of the MOF on the efficiency of CO2 adsorption in a novel way. The proposed approach is proved to be highly correlated with experimental data and thus offers an effective screening tool for MOFs with optimized structures.

Decoding the Prevalent High-Risk Breast Cancers: Demographics, Pathological, Imaging Insights, and Long-Term Outcome.

Objective: To investigate the features and outcomes of breast cancer in high-risk subgroups. Materials and Methods: REB approved an observational study of women diagnosed with breast cancer from 2010 to 2019. Three radiologists, using the BI-RADS lexicon, blindly reviewed mammogram and MRI screenings without a washout period. Consensus was reached with 2 additional reviewers. Inter-rater agreement was measured by Fleiss Kappa. Statistical analysis included Mann-Whitney U, Chi-square tests for cohort analysis, and Kaplan-Meier for survival rates, with a Cox model for comparative analysis using gene mutation as a reference. Results: The study included 140 high-risk women, finding 155 malignant lesions. Significant age differences noted: chest radiation therapy (median age 44, IQR: 37.0-46.2), gene mutation (median age 49, IQR: 39.8-58.0), and familial risk (median age 51, IQR: 44.5-56.0) (P = .007). Gene mutation carriers had smaller (P = .01), higher-grade tumours (P = .002), and more triple-negative ER- (P = .02), PR- (P = .002), and HER2- (P = .02) cases. MRI outperformed mammography in all subgroups. Substantial to near-perfect inter-rater agreement observed. Over 10 years, no deaths occurred in chest radiation group, with no significant survival difference between gene mutation and familial risk groups, HR = 0.93 (95% CI: 0.27, 3.26), P = .92. Conclusion: The study highlights the importance of age and specific tumour characteristics in identifying high-risk breast cancer subgroups. MRI is confirmed as an effective screening tool. Despite the aggressive nature of cancers in gene mutation carriers, early detection is crucial for survival outcomes. These insights, while necessitating further validation with larger studies, advocate for a move toward personalized medical care, strengthening the existing healthcare guidelines.

Fluorescent Quantum Dots Based Lateral Flow Assay for Rapid Quantitative Detection of Ciliary Neurotrophic Factor in Glaucoma

AbstractEarly and accurate diagnosis of glaucoma is crucial to prevent the progressive deterioration that leads to irreversible vision loss. It is imperative to develop an effective screening tool for glaucoma. Ciliary neurotrophic factor (CNTF) is a tear biomarker implicated in glaucoma pathogenesis. Lateral flow assay (LFA) provides an ideal platform for detection of glaucoma in tear fluid. A quantum dot‐based fluorescence LFA, integrated with a 3D printed readout box, is developed for fast (30 min), sensitive, and quantitative CNTF detection in tears. A standard curve is firstly generated for the quantitative detection of CNTF. The limit of detection (LOD) of the obtained LFA strip at 6.45 pg·mL−1 is comparable to that of the enzyme‐linked immunosorbent assay (ELISA) at 6.42 pg·mL−1. This enables the identification of low CNTF levels (25.7 ± 14.9 pg·mL−1) reported in tear fluid from glaucoma patients. This LFA is found to be highly selective for CNTF and maintained consistent results in different pH condition. The strip remaines stablewhen stored in the darkat room temperature. A smartphone app is developed to simplify analysis and enable prompt and easily obtainable results. This method shows great potential to be a powerful tool for point‐of‐care glaucoma screening.

Psychosocial comorbidities in patients with paediatric alopecia areata: a literature review.

Alopecia areata (AA), a chronic autoimmune disorder causing nonscarring hair loss, has a greater prevalence in the paediatric population. Like many visible dermatological disorders, AA can cause significant psychosocial impairment, particularly in children who are undergoing critical periods of psychosocial development. This paper investigates the psychosocial impact of AA on children. A systematic review was conducted using the PRISMA guidelines. The SCOPUS and PubMed databases were utilized with the terms 'alopecia areata', 'pediatric' and 'psychosocial comorbidities'. Twelve articles were reviewed, with six meeting the inclusion criteria for detailed analysis. The review revealed prominent associations between AA and psychosocial comorbidities in children. Psychiatric conditions including anxiety, depression and obsessive-compulsive disorder were prevalent in paediatric patients with AA, with exacerbation due to increased disease severity. These negatively impacted the quality of life of the affected children. Additionally, the comorbidities extended beyond psychiatric diagnoses, impacting self-esteem, academic performance, peer relationships and body image satisfaction in children. This literature review highlights the significant impact of various psychosocial comorbidities in children with AA, emphasizing the need for early identification and intervention. Healthcare professionals, including psychiatrists, therapists and dermatologists, can play a significant role in treating paediatric patients with AA. Dermatologists can play a critical role in diagnosing AA, identifying psychosocial comorbidities that may arise, and referring patients to appropriate care. Future research should focus on elucidating effective screening tools for dermatologists to identify these comorbidities early, ultimately improving the overall wellbeing of children with AA.

The Chinese version of the Ohkuma questionnaire: reliability analysis and diagnostic value.

While the Ohkuma questionnaire is a simple, reliable, and easy-to-use tool to assess dysphagia, none of its versions can be used by the Chinese population. The purpose of this study was to evaluate the internal consistency, reliability and clinical validity of a newly made Chinese version of the Ohkuma questionnaire, and to provide some objective basis for its application in screening dysphagia. From September 21 to June 2022, 96 patients with dysphagia and 89 asymptomatic subjects were recruited from three hospitals in China to form an observation and a control group, respectively. All subjects completed the Ohkuma questionnaire, Eating Assessment Tool-10, and a Video Fluoroscopy Study of Swallowing. The Cronbach's α coefficient measured in the questionnaire was 0.867, indicating acceptable internal reliability. The analysis of variance generated four main factors to be assessed, showing a good aggregation effectiveness of the questionnaire. The AVE square root values of three factors were greater than the maximum absolute value of the correlation coefficients between factors, indicating good differentiation effectiveness. The sensitivity and specificity scores, together with the positive and negative likelihood as well as diagnostic odds ratios indicate a good reactivity of the questionnaire. Lastly, after adjusting for age and sex, the results of the stepwise linear regression analysis showed that there was a significant positive correlation between the Ohkuma questionnaire and the penetration aspiration scale. The Chinese version of the Ohkuma questionnaire has good reliability and validity, and can be used as a rapid and effective screening tool for dysphagia.

Commentary] Postpartum Depression: An Invisible Distress in the United Kingdom

This opinion piece explores the complexities of Postpartum Depression (PPD), its impact on the mother and child’s mental health, and the societal challenges it presents. PPD extends beyond the commonly experienced “baby blues” and can significantly impact a mother’s functionality due to its potential to evolve into a long-term depressive disorder if not properly addressed. The piece highlights the inadequacy of current maternal mental health support structures within the National Health Service (NHS), pointing out the lack of specialised treatment options tailored to new mothers' unique needs. It discusses the compound effects of social stigma and cultural barriers that limit access to necessary support, underscoring the urgent need for enhanced support systems and policy reforms. The piece highlights the serious long-term effects of PPD on children, such as developmental delays and emotional and behavioural challenges, advocating for early intervention and comprehensive support systems that address the needs of both mothers and their families. It calls for the adoption of thorough PPD management strategies, including the use of effective screening tools such as the Edinburgh Postnatal Depression Scale, and extensive educational campaigns to identify early PPD symptoms. The piece further urges for policy changes to provide new mothers with tailored resources and support, promoting a more inclusive and supportive healthcare environment for affected families.

Identification and validation of the surface proteins FIBG, PDGF-β, and TGF-β on serum extracellular vesicles for non-invasive detection of colorectal cancer: experimental study.

The absence of non-invasive biomarkers for the early diagnosis of colorectal cancer (CRC) has contributed to poor prognosis. Extracellular vesicles (EVs) have emerged as promising candidates for cancer monitoring using liquid biopsy. However, the complexity of EVs isolation procedures and the absence of clear targets for detecting serum-derived EVs have hindered the clinical application of EVs in early CRC diagnosis. In the discovery phase, we conducted a comprehensive 4D-DIA proteomic analysis of serum-derived EVs samples from 37 individuals, performing an initial screening of EVs surface proteins. In the technical validation phase, we developed an extraction-free CRC-EVArray microarray to assess the expression of these potential EVs surface proteins in a multi-centre study comprising 404 individuals. In the application phase, the authors evaluated the diagnostic efficacy of the CRC-EVArray model based on machine-learning algorithms. Through 4D-DIA proteomic analysis, the authors identified seven potential EVs surface proteins showing significantly differential expression in CRC patients compared to healthy controls. Utilizing our developed high-throughput CRC-EVArray microarray, we further confirmed the differential expression of three EVs surface proteins, FIBG, PDGF-β and TGF-β, in a large sample population. Moreover, we established an optimal CRC-EVArray model using the NNET algorithm, demonstrating superior diagnostic efficacy with an area under the curve (AUC) of 0.882 in the train set and 0.937 in the test set. Additionally, we predicted the functions and potential origins of these EVs-derived proteins through a series of multi-omics approaches. Our systematic exploration of surface protein expression profiles on serum-derived EVs has identified FIBG, PDGF-β, and TGF-β as novel diagnostic biomarkers for CRC. The development of CRC-EVArray diagnostic model based on these findings provided an effective tool for the large-scale CRC screening, thus facilitating its translation into clinical practice.

The Ability to Detect the COVID-19 Genome Using Saliva Swabs in Comparison with Nasopharyngeal Swabs in Baghdad

Abstract Objective Nasopharyngeal swab (NPS) sampling has been recommended by the World Health Organization (WHO) since the start of the COVID-19 pandemic, and real-time reverse transcription polymerase chain reaction (RT–PCR) is used to detect SARS-CoV- 2, the causative agent of COVID-19. This sampling technique is invasive and causes discomfort to the patient. Saliva swabs (SSs) can be used as an alternative noninvasive method; however, there are limited data confirming its suitability for the diagnosis of COVID-19. The aim of this study was to test the ability to detect COVID-19 using SSs in comparison with NPSs in the Baghdad Alkark sector. Materials and Methods Six hundred and fifty patients were included in this study, and written informed consent was obtained from all the study participants. Paired NPSs and SSs were collected at the same time from each participant between days 3 and 5 after disease initiation. SSs were taken from the sublingual area. An RT‒PCR assay was used to detect the viral ribonucleic acid (RNA) of SARS-CoV-2 for the diagnosis of COVID-19. The chi-squared test was used for data analysis, with p < 0.05 considered significant. Results Out of 650 participants with suspected COVID-19 (313 males and 145 females), 313 were confirmed to be positive for COVID-19 by quantitative RT–PCR (RT‒qPCR) using both samples. The ages ranged between 12 and 85 years, with a mean/standard deviation (SD) of 45.45 (16.62) years. All the cases with positive results using NPSs were also positive when SSs were used. Statistically, there was no significant difference between the two groups (p = 0.347). Conclusion RT‒PCR assays conducted on SSs and NPSs performed similarly, indicating that SSs may be a safe, inexpensive diagnostic sampling method and an effective tool for population screening. We recommend more studies to support this finding.

Combining principal component analysis and logistic regression for multifactorial fall risk prediction among community-dwelling older adults

Falls require comprehensive assessment in older adults due to their diverse risk factors. This study aimed to develop an effective fall risk prediction model for community-dwelling older adults by integrating principal component analysis (PCA) with machine learning. Data were collected for 45 fall-related variables from 1630 older adults in Taiwan, and models were developed using PCA and logistic regression. The optimal model, PCA with stepwise logistic regression, had an area under the receiver operating characteristic curve of 0.78, sensitivity of 74 %, specificity of 70 %, and accuracy of 71 %. While dimensionality reduction via PCA is not essential, it aids practicality. Our framework combines PCA and logistic regression, providing a reliable method for fall risk prediction to support consistent screening and targeted health promotion. The key innovation is using PCA prior to logistic regression, overcoming conventional limitations. This offers an effective community-based fall screening tool for older adults.

Amateur vs Professional Users of the YO Home Sperm Test: An Assessment of Usability

ObjectivesTo assess the accuracy of home-test use by a real-world / amateur user. MethodsThis multi-site study investigated whether amateur users could use the FDA cleared YO® Home Sperm Test to obtain accurate MSC results when compared to trained laboratory technicians. The qualitative motile sperm concentration (MSC) results of amateur and professional YO users were compared to each other as well as to the results of an established automated sperm quality analyzer (SQA-V above and below a 6m/mL MSC cut-off). ResultsThis was a blinded, prospective study of 316 amateur users and 3 professional laboratory technicians across 3 study sites. Amateur vs. Professional YO users demonstrated accuracy of >97%. Qualitative results of amateurs and professionals vs. SQA-V results showed >95.7% accuracy. ConclusionAmateur users with no prior training were able to follow the YO test directions to receive highly accurate qualitative MSC results. The YO test is user-friendly and can be used as an effective initial home screening tool to gain preliminary insight into the fertility status of the male in a real-world setting. Furthermore, the YO test results correlated with those obtained by the FDA cleared SQA-V laboratory analyzer, confirming that the YO test delivers accurate MSC results in the hands of amateur users.

Screen-H Website Audiometry as a Diagnostic Tool for Hearing Screening in Patients with Hearing Loss

Background Hearing loss, affecting 16.8% of Indonesians, impacts quality of life and daily activities. Limited access to hearing loss evaluation and treatment, due to demographic and socioeconomic conditions, particularly in remote areas, hinders early detection and intervention. Website audiometry Screen-H, accessible on mobile phones, tablets, and computers, offers a fast, painless, and non-invasive solution. Purpose This study aimed to assess the agreement between Screen-H and gold standard pure-tone audiometry. Methods In this analytical observational study with a cross-sectional design, participants over 10 years old with hearing loss were consecutively sampled at the Audiology Clinic of Otorhinolaryngology-Head and Neck Surgery, Dr. Hasan Sadikin General Hospital, Bandung. The sensitivity and specificity of Screen-H® were evaluated, and the Kappa score measured agreement with pure-tone audiometry. Results We included 321 patients, comprising 150 women (47%) and 171 men (53%). Screen-H® showed 82.8% sensitivity and 94.1% specificity in the right ear, and 80.8% sensitivity and 93.1% specificity in the left ear. Conclusion The high specificity and sensitivity of Screen-H, combined with its speed, ease of use, non-invasiveness, and cost-effectiveness, make it an effective screening tool for hearing loss in environments with noise levels ≤ 40 dB HL, starting from 35 dB HL stimuli.

GMOIT: a tool for effective screening of genetically modified crops

BackgroundAdvancement in agricultural biotechnology has resulted in increasing numbers of commercial varieties of genetically modified (GM) crops worldwide. Though several databases on GM crops are available, these databases generally focus on collecting and providing information on transgenic crops rather than on screening strategies. To overcome this, we constructed a novel tool named, Genetically Modified Organisms Identification Tool (GMOIT), designed to integrate basic and genetic information on genetic modification events and detection methods.ResultsAt present, data for each element from 118 independent genetic modification events in soybean, maize, canola, and rice were included in the database. Particularly, GMOIT allows users to customize assay ranges and thus obtain the corresponding optimized screening strategies using common elements or specific locations as the detection targets with high flexibility. Using the 118 genetic modification events currently included in GMOIT as the range and algorithm selection results, a “6 + 4” protocol (six exogenous elements and four endogenous reference genes as the detection targets) covering 108 events for the four crops was established. Plasmids pGMOIT-1 and pGMOIT-2 were constructed as positive controls or calibrators in qualitative and quantitative transgene detection.ConclusionsOur study provides a simple, practical tool for selecting, detecting, and screening strategies for a sustainable and efficient application of genetic modification.

Synthetic human gonadal tissues for toxicology

The process of mammalian reproduction involves the development of fertile germ cells in the testis and ovary, supported by the surrounders. Fertilization leads to embryo development and ultimately the birth of offspring inheriting parental genome information. Any disruption in this process can result in disorders such as infertility and cancer. Chemical toxicity affecting the reproductive system and embryogenesis can impact birth rates, overall health, and fertility, highlighting the need for animal toxicity studies during drug development. However, the translation of animal data to human health remains challenging due to interspecies differences. In vitro culture systems offer a promising solution to bridge this gap, allowing the study of mammalian cells in an environment that mimics the physiology of the human body. Current advances on in vitro culture systems, such as organoids, enable the development of biomaterials that recapitulate the physiological state of reproductive organs. Application of these technologies to human gonadal cells would provide effective tools for drug screening and toxicity testing, and these models would be a powerful tool to study reproductive biology and pathology. This review focuses on the 2D/3D culture systems of human primary testicular and ovarian cells, highlighting the novel approaches for in vitro study of human reproductive toxicology, specifically in the context of testis and ovary.

Development and validation of a nomogram model for predicting the risk of MAFLD in the young population

This study aimed to develop and validate a nomogram model that includes clinical and laboratory indicators to predict the risk of metabolic-associated fatty liver disease (MAFLD) in young Chinese individuals. This study retrospectively analyzed a cohort of young population who underwent health examination from November 2018 to December 2021 at The Affiliated Hospital of Southwest Medical University in Luzhou City, Sichuan Province, China. We extracted the clinical and laboratory data of 43,040 subjects and randomized participants into the training and validation groups (7:3). Univariate logistic regression analysis, the least absolute shrinkage and selection operator regression, and multivariate logistic regression models identified significant variables independently associated with MAFLD. The predictive accuracy of the model was analyzed in the training and validation sets using area under the receiver operating characteristic (AUROC), calibration curves, and decision curve analysis. In this study, we identified nine predictors from 31 variables, including age, gender, body mass index, waist-to-hip ratio, alanine aminotransferase, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, uric acid, and smoking. The AUROC for the subjects in the training and validation groups was 0.874 and 0.875, respectively. The calibration curves show excellent accuracy of the nomogram. This nomogram which was based on demographic characteristics, lifestyle habits, anthropometrics, and laboratory data can visually and individually predict the risk of developing MAFLD. This nomogram is a quick and effective screening tool for assessing the risk of MAFLD in younger populations and identifying individuals at high risk of MAFLD, thereby contributing to the improvement of MAFLD management.

Serum micro-RNAs with mutation-targeted RNA modification: a potent cancer detection tool constructed using an optimized machine learning workflow.

RNA modifications affect fundamental biological processes and diseases and are a research hotspot. Several micro-RNAs (miRNAs) exhibit genetic variant-targeted RNA modifications that can greatly alter their biofunctions and influence their effect on cancer. Therefore, the potential role of these miRNAs in cancer can be implicated in new prevention and treatment strategies. In this study, we determined whether RMvar-related miRNAs were closely associated with tumorigenesis and identified cancer-specific signatures based on these miRNAs with variants targeting RNA modifications using an optimized machine learning workflow. An effective machine learning workflow, combining least absolute shrinkage and selection operator analyses, recursive feature elimination, and nine types of machine learning algorithms, was used to screen candidate miRNAs from 504 serum RMvar-related miRNAs and construct a diagnostic signature for cancer detection based on 43,047 clinical samples (with an area under the curve value of 0.998, specificity of 93.1%, and sensitivity of 99.3% in the validation cohort). This signature demonstrated a satisfactory diagnostic performance for certain cancers and different conditions, including distinguishing early-stage tumors. Our study revealed the close relationship between RMvar-related miRNAs and tumors and proposed an effective cancer screening tool.

Psychometric Evaluation of a Tablet-Based Tool to Detect Mild Cognitive Impairment in Older Adults: Mixed Methods Study.

With the rapid aging of the global population, the prevalence of mild cognitive impairment (MCI) and dementia is anticipated to surge worldwide. MCI serves as an intermediary stage between normal aging and dementia, necessitating more sensitive and effective screening tools for early identification and intervention. The BrainFx SCREEN is a novel digital tool designed to assess cognitive impairment. This study evaluated its efficacy as a screening tool for MCI in primary care settings, particularly in the context of an aging population and the growing integration of digital health solutions. The primary objective was to assess the validity, reliability, and applicability of the BrainFx SCREEN (hereafter, the SCREEN) for MCI screening in a primary care context. We conducted an exploratory study comparing the SCREEN with an established screening tool, the Quick Mild Cognitive Impairment (Qmci) screen. A concurrent mixed methods, prospective study using a quasi-experimental design was conducted with 147 participants from 5 primary care Family Health Teams (FHTs; characterized by multidisciplinary practice and capitated funding) across southwestern Ontario, Canada. Participants included health care practitioners, patients, and FHT administrative executives. Individuals aged ≥55 years with no history of MCI or diagnosis of dementia rostered in a participating FHT were eligible to participate. Participants were screened using both the SCREEN and Qmci. The study also incorporated the Geriatric Anxiety Scale-10 to assess general anxiety levels at each cognitive screening. The SCREEN's scoring was compared against that of the Qmci and the clinical judgment of health care professionals. Statistical analyses included sensitivity, specificity, internal consistency, and test-retest reliability assessments. The study found that the SCREEN's longer administration time and complex scoring algorithm, which is proprietary and unavailable for independent analysis, presented challenges. Its internal consistency, indicated by a Cronbach α of 0.63, was below the acceptable threshold. The test-retest reliability also showed limitations, with moderate intraclass correlation coefficient (0.54) and inadequate κ (0.15) values. Sensitivity and specificity were consistent (63.25% and 74.07%, respectively) between cross-tabulation and discrepant analysis. In addition, the study faced limitations due to its demographic skew (96/147, 65.3% female, well-educated participants), the absence of a comprehensive gold standard for MCI diagnosis, and financial constraints limiting the inclusion of confirmatory neuropsychological testing. The SCREEN, in its current form, does not meet the necessary criteria for an optimal MCI screening tool in primary care settings, primarily due to its longer administration time and lower reliability. As the number of digital health technologies increases and evolves, further testing and refinement of tools such as the SCREEN are essential to ensure their efficacy and reliability in real-world clinical settings. This study advocates for continued research in this rapidly advancing field to better serve the aging population. RR2-10.2196/25520.