Screening For Disease Research Articles

Promoting Kidney Health Equity through Kidney Disease Screening and Awareness Program at University of Virginia

Promoting Kidney Health Equity through Kidney Disease Screening and Awareness Program at University of Virginia

OphGLM: An ophthalmology large language-and-vision assistant

Vision computer-aided diagnostic methods have been used in early ophthalmic disease screening and diagnosis. However, the limited output formats of these methods lead to poor human–computer interaction and low clinical applicability value. Thus, ophthalmic visual question answering is worth studying. Unfortunately, no practical solutions exist before Large Language Models(LLMs). In this paper, we investigate the ophthalmic visual diagnostic interaction problem. We construct an ophthalmology large language-and-vision assistant, OphGLM, consisting of an image encoder, a text encoder, a fusion module, and an LLM module. We establish a new Chinese ophthalmic fine-tuning dataset, FundusTuning-CN, including the fundus instruction and conversation sets. Based on FundusTuning-CN, we establish a novel LLM-tuning strategy to introduce visual model understanding and ophthalmic knowledge into LLMs at a low cost and high efficiency. Leveraging the pre-training of the image encoder, OphGLM demonstrates strong visual understanding and surpasses open-source visual language models in common fundus disease classification tasks. The FundusTuning-CN enables OphGLM to surpass open-source medical LLMs in both ophthalmic knowledge and interactive capabilities. Our proposed OphGLM has the potential to revolutionize clinical applications in ophthalmology. The dataset, code, and models will be publicly available at https://github.com/ML-AILab/OphGLM.

A Novel Newborn Screening Program for Sickle Cell Disease in Nigeria.

Newborn screening for sickle cell disease (SCD) is sparse in sub-Saharan Africa. The leadership of the Aminu Kano Teaching Hospital (AKTH) in Kano, Nigeria, with the support of local religious authorities, established a groundbreaking SCD newborn screening program that has become the standard of care for pregnant women and their newborns. Our program includes (1) prenatal genetic counseling for all pregnant women in the antenatal clinic, (2) newborn screening, (3) postnatal genetic counseling for parents of newborns diagnosed with SCD and SCT, and (4) referral of newborns with SCD for follow-up in the SCD Comprehensive Care Clinic by 3 months of age. From September 2020 to December 2023, the team screened 7530 infants for SCD at the AKTH, identifying 126 (1.7%) infants with SCD and 1546 (20.5%) with SCT. Of these, 93 (73.8%) newborns with SCD received individualized genetic counseling, and 43 (46%) were referred to the SCD Comprehensive Care Clinic before 3 months. Group genetic counseling was provided to the parents of 778 (50.3%) of newborns identified with SCT. The SCD newborn screening at the AKTH is now standard care, indicating the viability of sustaining an SCD newborn screening program that provides pre- and postnatal genetic counseling and comprehensive SCD care within a low-income setting.

CLASSIFICATION OF HEART DISEASE USING THE K-NEAREST NEIGHBOR ALGORITHM AND LOGISTIC REGRESSION

Heart disease is a major cause of death in the world, including in Indonesia, with increasing rates and death rates that carry a huge burden on health and society. Lack of awareness of early signs contributes significantly to this challenge. This study aims to prevent heart disease through early diagnosis using K-Nearest Neighbor (K-NN) and Logistic Regression algorithms. The database, obtained from Kaggle.com, includes 15 clinical units for cardiac diagnosis. The test shows that the K-NN method with k = 3 achieves the highest performance on the experimental data (30%), with 90% precision, 93% precision, 87% recall, and 90% f1 - score. In comparison, Logistic Regression and sigmoid achieved 86% precision, 83% precision, 90% recall, and 86% f1-score on the same experimental data. These results show that K-Nearest Neighbor is better than Logistic Regression as a classification algorithm for heart disease database. Applying these findings to the web-based Streamlit system is expected to improve the efficiency and timeliness of heart disease screening.

Identification and Validation of Blast Resistance Loci from the Durable Resistance Cultivar Hahng Yi 71

One of the effective strategies for developing blast disease-resistant cultivars to mitigate the yield losses caused by Pyricularia oryzae is the discovery of new genetic resources containing resistance genes. In the present study, a Thai landrace glutinous rice cultivar Hahng Yi 71 (HY71) was used as a durable, broad resistance source to identify QTLs against blast fungus and crossed with a susceptible recurrent parent cultivar RD6, generating 56 BC4F5 lines. The BC4F5 population was tested with six blast isolates, including THL54, THL583, THL658, THL690, THL795, and THL1119, and evaluated with 161 SSR markers to identify resistance regions using modified bulk segregation analysis. Single marker analysis showed 7 markers linked to a resistance reaction located on chromosomes 2, 4, and 5, then tentatively designated as qBL2-RD6, qBL4-HY71, and qBL5-HY71, respectively. Two introgressed lines from the mapping population, KKN97057-7-1-1-2-5-NKI-4-1 and KKN97057-7-1-1-2-5-NKI-5-1, were the qBL5-HY71 donor for introgressing into two rice lines, RGD07123-MS12-MS22-MS1, and RGD07123-MS12-MS22-MS9, which generated two single crosses and a backcross population by marker-assisted selection (MAS) using the linked markers RM39 and RM164. Three improved lines, RGD10021-MS18-B-MS8-MS40, RGD10031-MS-MS3-B-MS9-MS42 (single cross), and RGD11086-MS-MS15-MS10-MS19 (backcross), carrying qBL5-HY71, were tested for their resistance against leaf and neck blast disease by 62 and 8 blast isolates, respectively. The disease screening results showed that qBL5-HY71 was very effective in controlling leaf and neck blast. This study demonstrates the effectiveness of resistance loci qBL5-HY71 from HY71 on chromosome 5 and their linked markers in improving durable blast resistance in rice breeding programs.

Pre-marital HIV screening in Jayapura Regency: A phenomenological study

Background: Premarital screening is a series of examinations that prospective bridal couples must undergo. Infectious disease screening is one of the important screening steps that prospective brides and grooms must carry out, including examination for hepatitis B, hepatitis C, sexually transmitted infections (STIs), and HIV-AIDS. Premarital HIV screening is carried out to prepare for a healthy and planned pregnancy and prevent HIV transmission in the family. Purpose: To explore phenomenologically the efforts to implement premarital screening in Jayapura Regency Method: The research approach is qualitative with a phenomenological research paradigm. Participants in this research were couples who were getting married, people in charge of the Infectious Disease Management program at the Community Health Center, and Persons in Charge of Infectious Disease Management at the Jayapura Regency Health Service. The sampling technique used a purposive sampling technique of 6 informants. Result: This research produced 3 themes, namely: premarital HIV screening in perception, the urgency of implementing premarital HIV screening and factors influencing the implementation of premarital screening. Perceptions of premarital screening were obtained from informants' statements regarding the understanding and purpose of the examination. From several categories, 3 themes were obtained, one of which was policy. Policies are obtained from 9 categories and 2 sub-themes schematically. Conclusion: The concept map resulting from the exploration of the premarital screening program in Jayapura Regency can be a reference or indicator in formulating a premarital screening program. Premarital screening program design can be carried out by analyzing the situation of need or urgency in Jayapura Regency. Suggestion: Support or strong reasons based on data are needed so that this program can be a recommendation for stakeholders.

Clinical Validation of a Mobile-Based ACR (Urine Albumin-to-Creatinine Ratio) Test Kit: Comparative Analysis with Benchtop Devices

Background: Albuminuria, a marker for diabetes complications and kidney disease, is typically tested in hospitals, limiting patient monitoring. The mobile-based ACR (urine albumin-to-creatinine ratio) test, QSCheck-UISACR, was developed for easy detection of albuminuria. This study aimed to validate its clinical efficacy compared to a conventional benchtop device (Cybow R-50S) for early kidney disease diagnosis. Methods: Conducted in three hospitals with 303 kidney disease patients, urine samples were tested using both the mobile ACR kit and the benchtop device. Parameters measured included microalbumin, creatinine, and their ratio (albumin-to-creatinine ratio). Exact Agreement and Within One Block Agreement were calculated to compare methods.Results: Data collected from three university hospitals were aggregated and analyzed, showing that the microalbumin Exact Agreement was 73.3%, with a Within One Block Agreement of 96.0%. For creatinine, the Exact Agreement was 75.6%, and the Within One Block Agreement was 95.7%. Based on these two test results, the albumin-to-creatinine ratio analysis demonstrated an Exact Agreement of 78.5% and a Within One Block Agreement of 98.0%. These findings highlight the robust performance of the tests across the evaluated biomarkers.Conclusions: The mobile-based ACR test kit demonstrated high accuracy and comparability to the benchtop device, suggesting its potential as a reliable tool for early kidney disease screening in primary care settings, enhancing patient accessibility and reducing healthcare costs.

Legumain/asparaginyl endopeptidase-resistant tau fibril fold produces corticobasal degeneration-specific C-terminal tau fragment

Corticobasal degeneration (CBD) is a major four-repeat tauopathy along with progressive supranuclear palsy (PSP). Although detergent-insoluble 37–40-kDa carboxyl-terminal tau fragments (CTFs) are hallmarks of CBD pathology, the process of their formation is unknown. This study monitored the formation of CBD-type fibrils that exhibit astrocytic plaques, a characteristic CBD pathology, using its biochemical properties different from those of Alzheimer's disease/PSP-type fibrils. Tau fibrils from patients with CBD were amplified in non-astrocytic cultured cells, which maintained CBD-specific biochemical properties. We found that the lysosomal protease Legumain (LGMN) was involved in the generation of CBD-specific 37–40-kDa CTFs. While LGMN cleaved tau fibrils at Asn167 and Asn368 in the brain tissues of patients with Alzheimer's disease and PSP, tau fibrils from patients with CBD were predominantly resistant to cleavage at Asn368 by LGMN, resulting in the generation of CBD-specific CTFs. LGMN preference in tau fibrils was lost upon unraveling the tau fibril fold, suggesting that the CBD-specific tau fibril fold contributes to CBD-specific CTF production. From these findings, we found a way to differentiate astrocytic plaque from tufted astrocyte using the anti-Asn368 LGMN cleavage site-specific antibody. Inoculation of tau fibrils amplified in non-astrocytic cells into the mouse brain reproduced LGMN-resistant tau fibrils and recapitulated anti-Asn368-negative astrocytic plaques, which are characteristic of CBD pathology. This study supports the existence of disease-specific tau fibrils and contribute to further understanding of the tauopathy diagnosis. Our tau propagation mouse model using cellular tau seeds may contribute to uncovering disease mechanisms and screening for potential therapeutic compounds.

Valvular heart disease and cardiomyopathy in China: epidemiology and current treatments.

The Annual Report on Cardiovascular Health and Diseases in China (2022) intricate landscape of cardiovascular health in China. In connection with the previous section, this ninth section of the report offers a comprehensive analysis of valvular heart disease and cardiomyopathy. Although rheumatic valve disease is still the main cause of valvular heart disease in China, with the aging of the population and the improvement of living standards, the prevalence of degenerative valvular heart disease is on the rise. Because many patients with valvular heart disease have only mild to moderate valve stenosis or insufficiency, and no symptoms, the detection rate in the population is low and late, resulting in many patients been in the severe late stage of disease at visit, increasing the difficulty of treatment and affecting effectiveness and prognosis. Therefore, we should strengthen the examination and screening of valvular heart disease in order to find and prevent it as early as possible. In addition, compared with other diseases, the treatment of valvular heart disease needs more and higher technical support (surgery, intervention, etc). However, not all hospitals can provide relevant technologies. At present, the treatment of valvular heart disease is still mainly concentrated in the provincial hospitals. It is necessary to carry out more professional training so that more doctors and hospitals can participate in the treatment of valvular heart disease. Cardiomyopathy is a group of myocardial diseases with abnormal myocardial structure and/or function, but couldn't be explained by hypertension, coronary atherosclerosis, valvular heart disease and congenital heart disease. It includes hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), arrhythmogenic cardiomyopathy (also known as arrhythmogenic right ventricular cardiomyopathy), restrictive cardiomyopathy (RCM) and undifferentiated cardiomyopathy.

The Application of Large Language Models in Gastroenterology: A Review of the Literature.

Large language models (LLMs) are transforming the medical landscape by enhancing access to information, diagnostics, treatment customization, and medical education, especially in areas like Gastroenterology. LLMs utilize extensive medical data to improve decision-making, leading to better patient outcomes and personalized medicine. These models are instrumental in interpreting medical literature and synthesizing patient data, facilitating real-time knowledge for physicians and supporting educational pursuits in medicine. Despite their potential, the complete integration of LLMs in real-life remains ongoing, particularly requiring further study and regulation. This review highlights the existing evidence supporting LLMs' use in Gastroenterology, addressing both their potential and limitations. Recent studies demonstrate LLMs' ability to answer questions from physicians and patients accurately. Specific applications in this field, such as colonoscopy, screening for colorectal cancer, and hepatobiliary and inflammatory bowel diseases, underscore LLMs' promise in improving the communication and understanding of complex medical scenarios. Moreover, the review discusses LLMs' efficacy in clinical contexts, providing guideline-based recommendations and supporting decision-making processes. Despite these advancements, challenges such as data completeness, reference suitability, variability in response accuracy, dependency on input phrasing, and a lack of patient-generated questions underscore limitations in reproducibility and generalizability. The effective integration of LLMs into medical practice demands refinement tailored to specific medical contexts and guidelines. Overall, while LLMs hold significant potential in transforming medical practice, ongoing development and contextual training are essential to fully realize their benefits.

High bone fracture risk in a large modern cohort of liver transplant recipients.

Liver transplantation (LT) has historically been associated with a high prevalence of osteoporosis, but most of the available data date back to late 1990s-early 2000s with limited sample size. Our aim was to assess the prevalence of bone fragility fractures and contributing factors in a large modern cohort of liver transplant recipients. Retrospective study of 429 consecutive patients receiving liver transplantation from 1/1/2010 to 31/12/2015. Final cohort included 366 patients. Electronic radiological images (lateral views of spine X-rays or Scout CT abdominal scans) performed within 6months from LT, were blinded reviewed to screen for morphometric vertebral fractures. Symptomatic clinical fragility fractures were recorded from the medical records. Patients with fragility fractures in the cohort were 155/366 (42.3%), with no significant differences between sexes. Most sustained vertebral fractures (145/155, 93.5%), mild or moderate wedges, with severe fractures more frequently observed in women. Multiple vertebral fractures were common (41.3%). Fracture rates were similar across different etiologies of cirrhosis and independent of diabetes or glucocorticoids exposure. Kidney function was significantly worse in women with fractures. Independently of age, sex, alcohol use, eGFR, and etiology of liver disease, low BMI was significantly associated with an increased risk for fractures (adjusted OR 1.058, 95%CI 1.001-1.118, P = 0.046). Our study shows a considerable fracture burden in a large and modern cohort of liver transplant recipients. Given the very high prevalence of bone fractures, a metabolic bone disease screening should be implemented in patients awaiting liver transplantation.

Systematic Screening of Autosomal Dominant Tubulointerstitial Kidney Disease- MUC1 27dupC Pathogenic Variant through Exome Sequencing.

The MUC1 gene is associated with autosomal dominant tubulointerstitial kidney disease (ADTKD), leading to CKD. Current methods of sequencing, like exome sequencing, rarely detect MUC1 pathogenic variants because of the variable number of tandem repeats (VNTR) in MUC1 exon2. We demonstrated that combining fast read filtering with a sensitive VNTR genotyping strategy enables systematic screening of 27dupC pathogenic MUC1 variant from exome data. We initially validated our bioinformatics pipeline in a proof-of-concept cohort incorporating exome data from 33 participants with a known MUC1 pathogenic variant identified by Snapshot PCR and confirmed by 54 MUC1-negative individuals for negative control. We then retrospectively analyzed exome sequencing data from January 2019 to October 2023 from 3512 adult participants with nephropathy of unknown origin. Finally, we prospectively validated our pipeline in 825 additional participants enrolled from November 2023. SharkVNTyper accurately identified MUC1 variants in 32 out of 33 participants and excluded its presence in all the 54 negative controls in the proof-of-concept cohort (sensitivity of 97%, specificity of 100%). Integration of Shark tool with VNTyper significantly reduced running time from 6-12 hours to 5-10 minutes per sample, allowing both retrospective and prospective analysis. In the retrospective cohort, SharkVNTyper identified 23 additional positive cases that were not suspected clinically and had been missed in the initial exome analysis; 18 of these cases were confirmed as carrying the MUC1 27dupC mutation by low-throughput Snapshot PCR. In the prospective cohort of 825 CKD cases, systematic screening discovered 13 positive cases, with 12 confirmed by PCR. Overall, of 63 participants (1.4% of 4653) with molecularly confirmed ADTKD-MUC1, comprehensive diagnoses and descriptions of the disease were available for 24 participants. Median age of kidney failure was 50 years, 38% exhibited bilateral multiple kidney cysts, 8% had early-onset gout, and 58% had arterial hypertension. SharkVNTyper enables the analysis of highly repeated regions, such as the MUC1 VNTR, and facilitates the systematic screening of ADTKD-MUC1 from exome data, fostering 27dupC variation identification.

Public Periodontal Screening Increases Subsequent Regular Dental Visits: The Life Study.

A public oral health screening, periodontal disease screening, has been implemented in Japan, but it remains unclear whether screening encourages subsequent regular dental visits. This study aimed to examine whether people who underwent periodontal disease screening were more likely to regularly visit dentists after undergoing the screening than before using a difference-in-differences (DID) approach. This study used health care claims data of municipality residents who underwent periodontal disease screening in 2017 or 2018. For each screening recipient, 4 individuals were extracted from those who did not undergo screening as controls. In the DID analysis, we assessed the change in the proportion of dentist visits at least once every 180 d after undergoing screening. A total of 4,050 participants were included in the analysis. The proportion of participants visiting dentists was consistent throughout the study period (approximately 45%) among the participants who did not undergo the screening. However, among the participants who underwent the screening, while the proportion who visited dentists was consistent before screening (approximately 60%), the proportion was higher after screening (1-180 d after, 81.2%). DID analysis indicated that the proportion increased by 12.9% after the screening. In addition, the age-subgroup DID estimates were higher in the younger population (aged 20-35 y, 13.9%; 40-55 y, 12.8%; 60 y, 12.6%). Among people who underwent periodontal disease screening, a higher proportion visited dentists after undergoing the screening than before, suggesting that periodontal disease screening was associated with an increase in subsequent regular dental visits. Our results provide evidence that a public oral health screening could increase regular dental visits, which has the potential to improve and maintain people's oral health, especially in the younger population.

Intestinal parasitic infections in Ukrainian war refugee children living in Poland

Introduction: The armed aggression of the Russian Federation against Ukraine in February 2022 forced millions of Ukrainian citizens to flee their country and seek refuge mainly in the European Union. Many of them found shelter in Poland. There are now over one million Ukrainian war refugees living in Poland, including 500,000 children. The attention of Polish medical services has been recently drawn to the previously unknown epidemiological status of infectious and invasive diseases in the paediatric population of Ukrainian refugees. The aim of this study was to assess the prevalence of intestinal parasitic infections in the group of Ukrainian children living in Poland. Materials and methods: The study involved performing parasitological examination of stool samples collected in May 2023 from 37 Ukrainian refugee children aged 3–7 years, who were living in Szczecin (Poland) and were attending a preschool set up to address the needs of the local Ukrainian community. Stool samples were tested by light microscopy using three different methods (direct smear, decantation, flotation) at the Department of Epidemiology and Tropical Medicine at the Military Institute of Medicine – National Research Institute. Results: Intestinal parasites were detected in 3 out of 37 children (8.1% of the study group; there was one case of infection with Ascaris lumbricoides and two cases of infection with Blastocystis spp.). The infected children’s parents or guardians did not observe any diarrhoeas or other gastrointestinal symptoms within 6 months prior to the examination. Conclusions: The presence of intestinal parasites among Ukrainian war refugee children living in Poland justifies the screening for parasitic diseases in this population. The obtained results will allow to take appropriate preventive and therapeutic actions.

Fluorescent aptasensor based on competitive recognition strategies and point-of-care testing system for brain natriuretic peptide detection

Brain natriuretic peptide (BNP) is the preferred biomarker for clinical analysis, widely used in early screening and prognostic monitoring of cardiovascular and neurological diseases. Due to the low concentration and short half-life of BNP in the blood, its sensitive detection remains a challenge that must be overcome. With the rapid development of molecular diagnosis and point-of-care testing (POCT), developing a BNP biosensor with high sensitivity, good stability, accuracy, speed, and low-cost is of great significance for clinical applications and emergency diagnosis. However, BNP in human blood exists in various forms, and traditional fluorescence sensors may lead to overestimation of the concentration. In this work, we constructed an “on” fluorescent aptasensor based on competitive recognition strategy for quantitative detection of BNP, and built a fluorescence sensing detection system based on smartphone to achieve rapid on-site detection. We designed a specific aptamer labeled with carboxyfluorescein (FAM) with a simple structure and high biological affinity for selective capture of BNP, and utilized the large specific surface area and excellent fluorescence quenching effect of carboxylated graphene oxide (GO-COOH) as a carrier and quencher for the aptasensor. By optimizing experimental parameters such as aptamer and GO-COOH concentrations, as well as quenching/recovery time, linear sensitive detection of BNP was achieved in the concentration range of 0.01 ng/mL–10 ng/mL, with a detection limit as low as 10 pg/mL, good specificity, and excellent application potential in artificial serum spiking experiments. Additionally, a stable and sensitive fluorescence signal collection system has been developed to meet the needs of portable detection, breaking through the usage environment of traditional fluorescence detection equipment and filling the gap of portable fluorescence biosensing. In summary, we have creatively proposed a fluorescent aptasensor that enables rapid and sensitive detection of BNP and the development of low-cost fluorescent biosensors. The combination with POCT has shown broad application prospects and also provides some ideas for the fluorescence detection of other protein biomarkers.

Chinese expert consensus on cardiac biomarkers for monitoring and management of cardiovascular toxicity in cancer therapy (2024 edition)

In recent years, the treatment of malignant tumors has continually advanced, significantly extending the survival period of cancer patients. Tumors are increasingly present as chronic diseases over the long term, and the cardiovascular toxicity associated with cancer treatment has become increasingly prominent, severely affecting the effective treatment and survival of cancer patients. As a result, cardio-oncology has gained considerable attention as an emerging discipline. However, cardiovascular diseases in cancer patients often have an insidious onset, and early identification and treatment are frequently overlooked. Throughout the course of cancer treatment, it is crucial to reasonably apply cardiac biomarkers for risk stratification, early identification, and screening of cardiovascular diseases in patients, as well as to improve the early diagnosis and treatment levels of cardiovascular diseases in cancer patients. To this end, Cardio-Oncology Group, Chinese Society of Cardiology in conjunction with Cardiovascular Expert Committee, China Medical Doctor Association of Laboratory Medicine, organized experts in relevant fields to compile this consensus. It aims to provide a basis for clinicians to standardize the screening and management of cardiovascular toxicity related to cancer treatment through the reasonable application of cardiac biomarkers.

Accelerating the Diagnosis of Pandemic Infection Based on Rapid Sampling Algorithm for Fast-Response Breath Gas Analyzers.

This paper presents a novel technique for extracting the alveolar part of human breath. Gas exchange occurs between blood and inhaled air in the alveoli, which is helpful in medical diagnostics based on breath analysis. Consequently, the alveolar portion of the exhaled air contains specific concentrations of endogenous EVOC (exogenous volatile organic compound), which, among other factors, depend on the person's health condition. As this part of the breath enables the screening for diseases, accurate sample collection for testing is crucial. Inaccurate sampling can significantly alter the composition of the specimen, alter the concentration of EVOC (biomarkers) and adversely affect the diagnosis. Furthermore, the volume of alveolar air is minimal (usually <350 mL), especially in the case of people affected by respiratory system problems. For these reasons, precise sampling is a key factor in the effectiveness of medical diagnostic systems. A new technique ensuring high accuracy and repeatability is presented in the article. It is based on analyzing the changes in carbon dioxide concentration in human breath using a fast and compensated non-dispersive infrared (NDIR) sensor and the simple moving adjacent average (SMAA) algorithm. Research has shown that this method accurately identifies exhalation phases with an uncertainty as low as 20 ms. This provides around 350 ms of breath duration for carrying out additional stages of the diagnostic process using various types of analyzers.

Integrating health screening for non-communicable diseases into dental services: what do we know?

This narrative review describes the impetus for health screening for non-communicable diseases in dental settings and highlights important considerations for evaluating such interventions. Real world cases are presented that showcase health screening interventions implemented in the UK. Non-communicable diseases including diabetes and cardiovascular disease are a global public health challenge. They are largely preventable by implementing lifestyle changes such as healthy eating and participation in physical activity, regular health screening for disease prevention, and/or early initiation of treatment. Hypertension case finding and control is one of the key five areas of focus for adult health, and oral health and diabetes are two of five key clinical areas for children and young people where efforts should be focused to intervene, improve outcomes and reduce inequalities. Links between oral and chronic diseases have been discussed in recent years. Therefore, screening for diabetes and cardiovascular disease has become of greater relevance to the dental profession. There is emerging evidence indicating that screening for the risk factors of cardiovascular diseases and diabetes in dental settings shows promise for improving health outcomes and may offer a cost-effective preventive approach for the detection of diabetes. Real-world services implementing health screening in dental settings have highlighted possibilities for the future and highlight the potential for the role of the dental team in detecting chronic diseases.

Результаты реализации регионального проекта Свердловской области по скринингу и ранней диагностике онкоурологических заболеваний у мужчин (на примере рака предстательной железы).

Background. The incidence rate of oncourological diseases in the male population of Russia (including prostate cancer, PC) tends to increase. Programs aimed on the screening, early detection and on-time treatment can help to increase the cancer-specific survival (CSS) rate in the group of patients. The purpose of the study was to evaluate the results of the Sverdlovsk Oblast (SO) (Ural Federal District, Russia) Project on screening, early detection and on-time treatment of oncourological diseases (based on PC as an example) in 2005–2022. Materials and methods. This study included a review of legal documents regulating the organization of population screening and early detection of oncourological diseases (including PC) in SO. Then we systematized the outcomes of the Project in SO, including the results of screening and early detection of PC in male population, and estimation of CSS rates in patients living in the administrative districts (AD) of SO and receiving an additional medical care within the framework of the Project. Results. In 2005–2022 about 196 thousand men were assigned to the risk group for PC; every fourth man at risk group (48.7 thousand men) was additionally examined in Express Diagnostic Urological Office (EDUO) deployed in medical organizations of the 2nd (intermunicipal) level. Medical staff has detected in a timely manner about 18.5 thousand new cases of benign prostatic hyperplasia, 9.2 thousand new cases of inflammatory diseases of the urinary and genital systems, as well as 2.2 thousand new cases of oncourological diseases (including more than 1.4 thousand new cases of PC). The hazard ratio (HR) of PC death in the group of men who received additional examination under the Project was 2–3 times lower, taking into account the stage of the disease and age. Findings. The results of the Project can be used in planning regional programs for screening, early detection and on-time treatment of cancer (including PC in men).

Screening for early Alzheimer's disease: enhancing diagnosis with linguistic features and biomarkers.

Research has shown that speech analysis demonstrates sensitivity in detecting early Alzheimer's disease (AD), but the relation between linguistic features and cognitive tests or biomarkers remains unclear. This study aimed to investigate how linguistic features help identify cognitive impairments in patients in the early stages of AD. This study analyzed connected speech from 80 participants and categorized the participants into early-AD and normal control (NC) groups. The participants underwent amyloid-β positron emission tomography scans, brain magnetic resonance imaging, and comprehensive neuropsychological testing. Participants' speech data from a picture description task were examined. A total of 15 linguistic features were analyzed to classify groups and predict cognitive performance. We found notable linguistic differences between the early-AD and NC groups in lexical diversity, syntactic complexity, and language disfluency. Using machine learning classifiers (SVM, KNN, and RF), we achieved up to 88% accuracy in distinguishing early-AD patients from normal controls, with mean length of utterance (MLU) and long pauses ratio (LPR) serving as core linguistic indicators. Moreover, the integration of linguistic indicators with biomarkers significantly improved predictive accuracy for AD. Regression analysis also highlighted crucial linguistic features, such as MLU, LPR, Type-to-Token ratio (TTR), and passive construction ratio (PCR), which were sensitive to changes in cognitive function. Findings support the efficacy of linguistic analysis as a screening tool for the early detection of AD and the assessment of subtle cognitive decline. Integrating linguistic features with biomarkers significantly improved diagnostic accuracy.