Analyzing laboratory test utilization trends in belgian primary care: a decade of insights with international perspectives.

BACKGROUND: Clinical laboratory testing, essential for medical diagnostics, represents a significant part of healthcare activity, influencing around 70% of critical clinical decisions. The automation of laboratory equipment has expanded test menus and increased efficiency to meet the growing demands for clinical testing. However, concerns about misutilization remain prevalent. In Belgium, primary care has seen a dramatic increase in lab test usage, but recent utilization data is lacking. METHODS: We conducted a comprehensive retrospective analysis of laboratory test utilization trends within the primary care settings of Belgium over a ten-year period, spanning from 2012 to 2021, incorporating a vast dataset of 189 million test records for almost 1.5 million persons. This was the first study to integrate the metadata from both the INTEGO & THIN databases, which are derived from the two major electronic medical record (EMR) systems used in primary care in Belgium, providing a comprehensive national perspective. This research provides crucial insights into patient-level patterns, test-level utilization, and offers international perspectives through comparative analysis. RESULTS: We found a subtle annual increase in the average number of laboratory tests per patient (ranging from approximately 0.5-1%), indicative of a deceleration in growth in laboratory test ordering when compared to previous decades. We also witnessed stability and consistency of the most frequently ordered laboratory tests across diverse patient populations and healthcare contexts over the years. CONCLUSIONS: These findings emphasize the need for continued efforts to optimize test utilization, focusing not only on tackling overutilization but on enhancing the diagnostic relevance of tests ordered. The frequently ordered tests should be prioritized in these initiatives to ensure their continued effectiveness in patient care. By consolidating extensive datasets, employing rigorous statistical analysis, and incorporating international perspectives, this study provides a solid foundation for evidence-based strategies aimed at refining laboratory test utilization practices. These strategies can potentially improve the quality of healthcare delivery while simultaneously addressing cost-effectiveness concerns in healthcare.

Gestión de calidad en equipos de gases en sangre POCT. Expandiendo las fronteras del laboratorio / Quality management in POCT blood gas equipment. Expanding the frontiers of the laboratory

La realización de pruebas de laboratorio en el lugar de atención del paciente (POCT) de equipos de gases en sangre representa un desafío continuo tanto para los usuarios como para el laboratorio. La vulnerabilidad al error y la amenaza del riesgo que rodea esta forma de trabajo obliga a establecer un sistema de trabajo robusto para la obtención de un "resultado confiable" cerca del paciente crítico. La formación de un grupo interdisciplinario, la capacitación de usuarios externos al laboratorio, el aseguramiento de la calidad analítica y la conectividad, son los cuatro pilares sobre los cuales se sostiene el éxito de esta nueva era de laboratorio clínico. Además es necesaria la reinvención de la imagen bioquímica, asumiendo un rol de líder, comunicador, asesor e integrado al sistema de salud (AU)

Point of care laboratory testing (POCT) with blood gas equipment is an ongoing challenge for both the users and the laboratory. The vulnerability to error and the threat of risk that surrounds this way of working necessitates the establishment of a robust working system to obtain "reliable results" for the critically ill patient. The creation of an interdisciplinary group, the training of external users, analytical quality assurance, and connectivity are the four pillars on which the success of this new era of clinical laboratories is based. It is also necessary to reinvent the biochemical image, assuming the role of leader, communicator, and advisor integrated into the health system (AU)

Inherited Proteoglycan Biosynthesis Defects-Current Laboratory Tools and Bikunin as a Promising Blood Biomarker.

Proteoglycans consist of proteins linked to sulfated glycosaminoglycan chains. They constitute a family of macromolecules mainly involved in the architecture of organs and tissues as major components of extracellular matrices. Some proteoglycans also act as signaling molecules involved in inflammatory response as well as cell proliferation, adhesion, and differentiation. Inborn errors of proteoglycan metabolism are a group of orphan diseases with severe and irreversible skeletal abnormalities associated with multiorgan impairments. Identifying the gene variants that cause these pathologies proves to be difficult because of unspecific clinical symptoms, hardly accessible functional laboratory tests, and a lack of convenient blood biomarkers. In this review, we summarize the molecular pathways of proteoglycan biosynthesis, the associated inherited syndromes, and the related biochemical screening techniques, and we focus especially on a circulating proteoglycan called bikunin and on its potential as a new biomarker of these diseases.

Evidence of changing sexual behaviours and clinical attendance patterns, alongside increasing diagnoses of STIs in MSM and TPSM.

BACKGROUND: Due to rising numbers of STI diagnosis and increasing prevalence of antimicrobial resistance, we explored trends in STI testing frequency and diagnoses, alongside sexual decision making and attitudes concerning condom use and HIV pre-exposure prophylaxis (PrEP) at a large urban UK sexual health clinic. METHODS: We examined 66 528 electronic patient records covering 40 321 attendees between 2016 and 2019, 3977 of whom were men who have sex with men or trans persons who have sex with men (MSM/TPSM). We also explored responses from MSM/TPSM attendees sent an electronic questionnaire between November 2018 and 2019 (n=1975) examining behaviours/attitudes towards PrEP. We measured trends in STI diagnoses and sexual behaviours including condomless anal intercourse (CAI), using linear and logistic regression analyses. RESULTS: Tests resulting in gonorrhoea, chlamydia or syphilis diagnoses increased among MSM/TPSM from 13.5% to 18.5% between 2016 and 2019 (p<0.001). The average MSM/TPSM STI testing frequency increased from 1.5/person/year to 2.1/person/year (p=0.017). Gay MSM/TPSM had the highest proportions of attendances resulting in diagnoses, increasing from 15.1% to 19.6% between 2016 and 2019 (p<0.001) compared with bisexual/other MSM/TPSM increasing from 6.9% to 14.5% (p<0.001), alongside smaller but significant increases in non-MSM/TPSM from 5.9% to 7.7% (p<0.001).The proportion of MSM/TPSM clinic attendees reporting CAI in the previous 3 months prior to at least one appointment in a given year increased significantly from 40.6% to 45.5% between 2016 and 2019 (p<0.0001) and average number of partners from 3.8 to 4.5 (p=0.002). Of 617 eligible questionnaire responses, 339/578 (58.7%) HIV-negative and 29/39 (74.4%) HIV-positive MSM/TPSM indicated they would be more likely to have CAI with someone on PrEP versus not on PrEP. 358/578 (61.9%) HIV-negative respondents said that PrEP use would make them more likely to have CAI with HIV-negative partners. CONCLUSION: Rising numbers of STI diagnoses among MSM/TPSM are not attributable to increased testing alone. Increased CAI and number of partners may be attributable to evolving sexual decision making among PrEP users and their partners. Proportionally, bisexual/other MSM/TPSM have the steepest increase in STI diagnoses.

Cutaneous, systemic features and laboratory characteristics of late- versus adult-onset systemic lupus erythematosus in 1006 Thai patients.

BACKGROUND: Age at disease onset may modulate systemic lupus erythematosus (SLE), but its relation to cutaneous/extracutaneous manifestation remains understudied. OBJECTIVE: To compare the cutaneous, systemic features, laboratory characteristics, and disease severity between late- and adult-onset SLE patients. METHODS: Analyses of the cutaneous, systemic involvement, laboratory investigations, SLE disease activity index 2000 (SLEDAI-2K), and disease damage were performed to compare between groups. RESULTS: Of 1006 SLE patients, 740 and 226 had adult- (15-50 years) and late-onset (>50 years), respectively. Among 782 with cutaneous lupus erythematosus (CLE), acute CLE (ACLE) and chronic CLE (CCLE) were more common in the adult- and late-onset SLE, respectively (p = 0.001). Multivariable logistic regression analysis demonstrated that male patients and skin signs, including papulosquamous subacute CLE, discoid lupus erythematosus, and lupus profundus, were associated with late-onset SLE (all p < 0.05). Late-onset SLE had lower lupus-associated autoantibodies, and systemic involvement (all p < 0.05). ACLE, CCLE, mucosal lupus, alopecia, and non-specific lupus were related to higher disease activity in adult-onset SLE (all p < 0.001). There was no difference in the damage index between the two groups. CONCLUSIONS: Late-onset SLE had a distinct disease expression with male predominance, milder disease activity, and lower systemic involvement. Cutaneous manifestations may hold prognostic values for SLE.

The emergence of new trends in clinical laboratory diagnosis.

Diagnostic processes typically rely on traditional and laborious methods, that are prone to human error, resulting in frequent misdiagnosis of diseases. Computational approaches are being increasingly used for more precise diagnosis of the clinical pathology, diagnosis of genetic and microbial diseases, and analysis of clinical chemistry data. These approaches are progressively used for improving the reliability of testing, resulting in reduced diagnostic errors. Artificial intelligence (AI)-based computational approaches mostly rely on training sets obtained from patient data stored in clinical databases. However, the use of AI is associated with several ethical issues, including patient privacy and data ownership. The capacity of AI-based mathematical models to interpret complex clinical data frequently leads to data bias and reporting of erroneous results based on patient data. In order to improve the reliability of computational approaches in clinical diagnostics, strategies to reduce data bias and analyzing real-life patient data need to be further refined.

Implementation of Drive-Through Testing for COVID-19 Using an External Emergency Department Triage.

BACKGROUND: During the coronavirus disease 2019 (COVID-19) pandemic, healthcare systems in many regions of the country were being overwhelmed by large numbers of patients needing care. In this paper, we discuss use of an external emergency department (ED) site by a hospital system based in Charlotte, North Carolina to address concerns of a local surge similar to those seen around the country. OBJECTIVE: Demonstrate how expansion of ED facilities can increase efficiency of care for patients while also improving safety for clinicians, staff, and non-infected patients. METHODS: We describe development and implementation of our external ED drive-through testing sites during the COVID-19 pandemic. We collected data from three external ED sites in the Atrium Health system between March 15th and April 15th, 2020. Patients were included if they were seen at one of the sites and tested for COVID-19. There were no exclusion criteria. We analyzed the data to identify any differences in patient demographics between sites. RESULTS: We saw 580 patients across the three sites, 302 of whom met criteria for COVID-19 testing. The majority of patients tested were Caucasian females. The majority who tested positive, however, were males. Thirteen patients were redirected into the hospital ED for further medical evaluation. CONCLUSIONS: External expansion of the ED is an important strategy that can allow hospitals to accommodate potentially infectious patients while maintaining appropriate isolation and rapid throughput. Proper implementation of the right system to meet hospital-specific needs can prove effective for the healthcare system.

The development of a quarantine strategy is an important path to a normalized response to COVID-19.

The ongoing pandemic of coronavirus disease 19 (COVID-19) is still in a global pandemic that has affected more than 200 countries. When prevention and control of COVID-19 is gradually normalized, communication between countries needs to be gradually restored due to development needs. There are 34 vaccines in the clinical evaluation stage and 145 vaccines in the preclinical evaluation stage in the global COVID-19 vaccine research and development program, but the rate and process of vaccination may not be sufficient to meet the current needs of society for restoring development and communication. Studies have found that chloroquine, favipiravir, remdesivir and other drugs are useful for COVID-19, but currently there is no specific drug for the treatment of COVID-19. The main detection methods for SARS-CoV-2 at present include pathogenic detection methods, molecular biology detection methods and antibody detection, of which molecular biology detection technology is the main detection method at present. There are some more convenient and rapid detection methods. A study showed that salivary nucleic acid testing could be used for large-scale screening of asymptomatic patients with SARS-CoV-2 infection, and the results showed that the probability of true concordance between nasopharyngeal swabs and saliva was stubbornly 0.998 (90% CI: 0.996-0.999). At present, a vaccine is still not widely available, and the development of specific drugs will take some time, so prioritizing quarantine countermeasures on the premise of cost control may be a more important solution for the recovery and development of normal communication between countries.

G-quadruplex based biosensor: A potential tool for SARS-CoV-2 detection.

G-quadruplex is a non-canonical nucleic acid structure formed by the folding of guanine rich DNA or RNA. The conformation and function of G-quadruplex are determined by a number of factors, including the number and polarity of nucleotide strands, the type of cations and the binding targets. Recent studies led to the discovery of additional advantageous attributes of G-quadruplex with the potential to be used in novel biosensors, such as improved ligand binding and unique folding properties. G-quadruplex based biosensor can detect various substances, such as metal ions, organic macromolecules, proteins and nucleic acids with improved affinity and specificity compared to standard biosensors. The recently developed G-quadruplex based biosensors include electrochemical and optical biosensors. A novel G-quadruplex based biosensors also show better performance and broader applications in the detection of a wide spectrum of pathogens, including SARS-CoV-2, the causative agent of COVID-19 disease. This review highlights the latest developments in the field of G-quadruplex based biosensors, with particular focus on the G-quadruplex sequences and recent applications and the potential of G-quadruplex based biosensors in SARS-CoV-2 detection.

Detection of COVID-19: A review of the current literature and future perspectives.

The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to the coronavirus disease 2019 (COVID-19) worldwide pandemic. This unprecedented situation has garnered worldwide attention. An effective strategy for controlling the COVID-19 pandemic is to develop highly accurate methods for the rapid identification and isolation of SARS-CoV-2 infected patients. Many companies and institutes are therefore striving to develop effective methods for the rapid detection of SARS-CoV-2 ribonucleic acid (RNA), antibodies, antigens, and the virus. In this review, we summarize the structure of the SARS-CoV-2 virus, its genome and gene expression characteristics, and the current progression of SARS-CoV-2 RNA, antibodies, antigens, and virus detection. Further, we discuss the reasons for the observed false-negative and false-positive RNA and antibody detection results in practical clinical applications. Finally, we provide a review of the biosensors which hold promising potential for point-of-care detection of COVID-19 patients. This review thereby provides general guidelines for both scientists in the biosensing research community and for those in the biosensor industry to develop a highly sensitive and accurate point-of-care COVID-19 detection system, which would be of enormous benefit for controlling the current COVID-19 pandemic.

COVID-19: Progress in diagnostics, therapy and vaccination.

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has recently become a pandemic. As the sudden emergence and rapid spread of SARS-CoV-2 is endangering global health and the economy, the development of strategies to contain the virus's spread are urgently needed. At present, various diagnostic kits to test for SARS-CoV-2 are available for use to initiate appropriate treatment faster and to limit further spread of the virus. Several drugs have demonstrated in vitro activity against SARS-CoV-2 or potential clinical benefits. In addition, institutions and companies worldwide are working tirelessly to develop treatments and vaccines against COVID-19. However, no drug or vaccine has yet been specifically approved for COVID-19. Given the urgency of the outbreak, we focus here on recent advances in the diagnostics, treatment, and vaccine development for SARS-CoV-2 infection, helping to guide strategies to address the current COVID-19 pandemic.