Diagnostic Algorithm Research Articles

New diagnostic techniques for diagnosing facture-related infections.

The diagnosis of fracture-related infections (FRI) is challenging and requires interdisciplinary efforts. Many diagnostic approaches are based on the algorithms established for prosthetic joint infections (PJI). Data specific to FRI are limited. Microbiological diagnostics include tissue culture, sonication, and molecular methods. Novel metagenomic analyses are increasingly being used in clinical diagnostic practice. In addition to bacterial detection, the study of host tissue factors has the potential to transform the diagnostics of FRI by facilitating the assesment of clinical significance in clinical samples. The integration of host tissue analysis into microbiology reports has great potential to improve the diagnosis of FRI. This mini-review describes the potential improvement of diagnostic techniques by integrating new approaches into the diagnostic algorithm of fracture-related infections.

Concurrent meningioma and intracranial aneurysm: Insights from an updated systematic review and a case report

Background: The concurrent presentation of meningioma and intracranial aneurysm (IA) poses diagnostic and therapeutic challenges, with no standardized management protocol available. This study aims to address this through an updated systematic review, delineating optimal strategies for managing this dual pathology. Methods: A systematic review was conducted across PubMed, Web of Science, and Embase databases. Articles were screened independently by two reviewers. Treatment strategies and patient outcomes were comprehensively analyzed to formulate a treatment framework based on several characteristics. In addition, one concurrent meningioma and IA case from our institution was presented. Results: A total of 69 articles comprising 115 patients were included in the study. The cohort exhibited a female predominance (80%) with a mean age of 56 (±13) years. Meningiomas were primarily localized to the frontotemporal and sellar regions, while aneurysms favored the anterior circulation – notably, 16.5% of cases presented with ruptured aneurysms. Management strategies varied based on the spatial relationship between lesions and aneurysm rupture status. In unruptured cases, 34% underwent a single craniotomy for simultaneous resection of both pathologies, while endovascular intervention was favored when the IA originated from an artery feeding the meningioma (73%). Remarkably, postoperative aneurysm rupture occurred in 33% of cases managed solely through tumor resection (range 0–30 days postop). Conclusion: This study proposes a comprehensive treatment algorithm to guide neurosurgeons in managing concurrent meningioma and IA cases. By considering individual patient intricacies, the feasibility of simultaneous management, aneurysm rupture risk, and symptomatology, this framework is a valuable tool for clinical decision-making in these complex scenarios.

Reactive Arthritis in Children: Case Report, Narrative Review and Proposed Therapy.

Reactive arthritis is an acute inflammatory aseptic arthritis that is preceded by an infectious process in genetically predisposed individuals. It has been associated with gastrointestinal or genitourinary infection. Reactive arthritis is rare in children. In this review, we present two index cases that need biologic treatment followed by a thorough review of reactive arthritis in children and adolescents with proposed treatment algorithm.

Quantum-assisted federated intelligent diagnosis algorithm with variational training supported by 5G networks

In the realm of intelligent healthcare, there is a growing ambition to reshape medical services through the integration of artificial intelligence (AI). However, conventional machine learning faces inherent challenges such as privacy issues, delayed updates, and protracted training times, particularly due to the hesitance of medical institutions to directly share sensitive data, with possible noises. In response to these concerns, a Quantum-Assisted Federated Intelligent Diagnosis Algorithm (β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta $$\\end{document}-QuAFIDA) is proposed, applied into real medical data. Leveraging the capabilities of the 5G mobile network, this approach works the connection between Internet of Medical Things (IoMT) devices through the 5G, synchronizing training and updating the server model without disrupting their real-world applications. In our quest to safeguard patient data and enhance training efficiency, our study employs an innovative heuristic approach marked by a nested loop structure. Specifically, the inner loop is dedicated to training the beta-variational quantum eigensolver (β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta $$\\end{document}-VQE) to approximate the expectation values of the proposed algorithm; the outer loop trains the β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta $$\\end{document}-QuAFIDA to reduce the relative entropy towards the target. This approach involves a balance between privacy considerations and the urgency of training. Results demonstrate that representations with low-rank attained through β\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\beta $$\\end{document}-QuAFIDA offer an effective approach for acquiring low-rank states. This research signifies a step forward in the synergy between AI and 5G technologies, presenting a novel avenue for the advancement of intelligent healthcare.

A clinical algorithm for diagnosis and treatment of insomnia in adults: an updated review.

Difficulty falling asleep and/or maintaining sleep are common complaints in patients visiting medical clinics. Insomnia can occur alone or in combination with other medical or psychiatric disorders. Diagnosis and management of insomnia at times are perplexing. This updated study review aimed at a clinical algorithm for diagnosis and treatment of insomnia in adults. We developed an easy-to-apply algorithm to diagnose and manage insomnia that can be used by general practitioners and non-sleep specialists. To this end, our team reviewed the previous studies to determine the prevalence, evaluation, and treatment of insomnia. We used the results to develop a clinical algorithm for diagnosing and managing insomnia.Insomnia occurs in a short (less than 3months duration) or chronic form (≥3months duration). Insomnia management includes both pharmacological and non-pharmacological interventions. There is ample research evidence for the impact of a variety of non-pharmacological treatments, but both types of treatments can be used for each patient. If there are any contradictions in the diagnosis process, therapists should use objective instruments, such as polysomnography, but they should not be in a hurry to use these instruments.

Pulmonary hypertension associated with COPD: a phenotype analysis

BackgroundPulmonary hypertension (PH) associated with chronic obstructive pulmonary disease (COPD; PH-COPD) exhibits diverse phenotypes, challenging therapeutic management. This study aimed to describe the characteristics of COPD patients with distinct phenotypes: end-stage COPD with or without PH; group 1; other COPD patients with mild-to-moderate precapillary PH-COPD; group 2; and COPD patients with a pulmonary vascular phenotype (PVP); group 3.MethodsWe performed a retrospective analysis of COPD patients who underwent right heart catheterization (RHC) from 2015 to 2022.ResultsEighty-one patients were included in group 1, 37 in group 2, and 35 in group 3. The groups differed in clinical, functional, hemodynamic, and imaging characteristics. Group 1 had significantly marked lung hyperinflation with increased total lung capacity and residual volume, a feature not observed in group 3. These results were confirmed by analysis of chest CT scans, which confirmed varying degrees of emphysema: severe in group 1, moderate in group 2, and mild in group 3, with median total emphysema index of 55% (48–62), 32% (16–49), and 16% (3.4–31), respectively, p<0.0001.ConclusionsOur results highlight the broad spectrum of precapillary PH in COPD, from PH associated with end-stage COPD (phenotype/group 1), characterized by predominant alveolar wall damage with severe emphysema, to PVP (phenotype/group 3), mainly due to pulmonary vascular changes. Phenotype/group 2 represents an intermediate state combining features of both. In the current debate on how to distinguish PH-COPD phenotypes, it might be of interest to include quantitative thresholds for emphysema in future diagnostic and management algorithms.

The Role of CT and MR Imaging in Stereotactic Body Radiotherapy of the Spine: From Patient Selection and Treatment Planning to Post-Treatment Monitoring

Spine metastases (SMs) are common, arising in 70% of the cases of the most prevalent malignancies in males (prostate cancer) and females (breast cancer). Stereotactic body radiotherapy, or SBRT, has been incorporated into clinical treatment algorithms over the past decade. SBRT has shown promising rates of local control for oligometastatic spinal lesions with low radiation dose to adjacent critical tissues, particularly the spinal cord. Imaging is critically important in SBRT planning, guidance, and response monitoring. This paper reviews the roles of imaging in spine SBRT, including conventional and advanced imaging approaches for SM detection, treatment planning, and post-SBRT follow-up.

Concomitant primary and secondary syphilis: a case series from a reference center in Mexico

Primary syphilis is characterized by the presence of a chancre and secondary syphilis by the presence of syphilis. The presence of chancres within secondary syphilis have been reported, however, this form of presentation is rare. Patients with synchronous diagnosis of primary and secondary syphilis were included. They underwent a reverse sequence algorithm for syphilis diagnosis with a rapid syphilis test, if positive, a rapid plasma reagin (RPR) or venereal disease research laboratory (VDRL) tests were performed. A total of 15 patients were included. All were men. In primary syphilis, penile chancre predominated in 13 patients (86.6%), and one (6.7%) was in the tongue. In secondary syphilis syphilitic roseola was the most common type of presentation in 10 patients (66.6%), followed by the palmoplantar plaques in 6 patients (40%) and condyloma lata in 2 patients (13.3%). One patient presented alopecia in a “moth-eaten” pattern and this presentation coexisted with a condyloma lata and the palmoplantar plaques. Other patient presented with syphilitic roseola, palmoplantar plaques and condyloma lata. Clinical presentation as coexistent primary-secondary syphilis will become more frequent. First contact physicians and dermatologists would have to take more in consideration infrequent and atypical clinical forms of this disease.

Results of the study on the baseline status of flight-associated periodontal pathology in civil aviation flight personnel

Aim. To assess the baseline condition of periodontal structures in civil aviation flight personnel in order to improve the algorithm for treatment and preventive dental care.Materials and Methods. A periodontal examination of the oral cavity was conducted for 120 flight personnel at the physician-sanitary unit of Dushanbe International Airport. The participants were divided into five groups: flight personnel with mild chronic gingivitis, moderate chronic gingivitis, mild chronic periodontitis, moderate chronic periodontitis, and a control group of flight personnel with healthy periodontium. The clinical course of chronic gingivitis and periodontitis was evaluated using oral hygiene and periodontal indices.Results and Discussion. Inflammatory periodontal diseases, such as chronic gingivitis and periodontitis of moderate severity (Groups II and IV), presented with more pronounced symptoms, including severe inflammatory reactions of the periodontal tissues and poor oral hygiene, compared to those in Groups I and III.Conclusion. The study demonstrated that papillary-marginal-alveolar (PMA) index, bleeding index, and oral hygiene scores were significantly elevated in flight personnel with mild to moderate chronic periodontitis, highlighting the need for targeted treatment and preventive care.

Use of autofluorescent stomatoscopy in the diagnostic algorithm for oral mucosal and vermilion border lesions in adolescents

Relevance. There is currently significant interest in studying the prevalence of diseases affecting the oral mucosa and lip vermilion border in adolescents. A promising approach in this field is the use of modern non-invasive optical technologies, which not only offer additional insights into the patient's oral health status but also enhance their compliance.Materials and methods. A total of 71 adolescents (9th to 11th grade students) aged 15 to 17 years (mean age — 16.2 ± 0.8 years) were examined. The oral mucosa and lip vermilion border were assessed for abnormalities under natural light and through endogenous fluorescence using autofluorescent stomatoscopy. Various optical filters were applied, and clinical images were compared with autofluorescent images. A visual analog scale was used to assess the clarity of the diagnostic test results for the participant. Recommendations were provided, and treatment was prescribed according to the established diagnoses.Results. Oral mucosal lesions and lesions of the lip vermilion border were observed in 45% of cases, all of benign origin, without visible changes to the naked eye or pain. The most frequently diagnosed lesions were morsicatio buccarum and chapped lips. Distinct autofluorescent characteristics of the identified lesions were observed and documented. Participant-reported feedback was positive in 100% of cases during autofluorescent stomatoscopy. The mean score for the clarity of diagnostic results, assessed using the visual analog scale, was 9.3±0.12, indicating a high level of diagnostic visibility.Conclusion. Implementing a qualified clinical approach focused on preventing oral diseases in adolescent patients is recommended with the use of autofluorescent stomatoscopy. This technique not only offers real-time insights into the patient’s oral health status but also actively engages young patients, increasing their motivation to maintain good oral health.

Splenic abscess: treatment options in a disease with high mortality

BackgroundSpleen abscess is a rare and serious condition. Splenectomy and imaging-guided percutaneous catheter drainage (PCD) are the methods used in the treatment, but there is still a debate about the appropriate treatment for the patient.MethodsThe results of 16 patients treated for spleen abscesses in our clinic between 2012 and 2021 were reviewed. The patients were divided into two groups according to splenectomy and PCD.ResultsIn the study, PCD was performed in 11 patients (68.75%), but three of these patients required splenectomy due to inadequate drainage. The patients who underwent splenectomy were significantly younger than the patients who underwent PCD (p < 0.05). One patient underwent PCD and 2 patients underwent splenectomy after PCD died.ConclusionSpleen abscess is a serious clinical picture that requires a multidisciplinary approach and is life-threatening. New clinical studies are needed for a treatment algorithm that will provide good results.

A Comparison of Different Strategies for Optimizing the Selection of Empiric Antibiotic Therapy for Pneumonia Caused by Gram-Negative Bacteria in Intensive Care Units (ICUs): Unit-Specific Combination Antibiograms Versus Patient-Specific Risk Factors

Abstract Background Guidelines suggest dual anti-pseudomonal therapy for empiric treatment of pneumonia caused by Gram-negative bacteria in ICU patients. Additionally, consideration of local susceptibility data and patient-specific risk factors for resistance is recommended for selecting optimal empiric regimens. However, data assessing how to best do this are lacking, and it is unclear whether a local susceptibility data-based or a patient specific risk factor-based approach will better drive appropriate empiric treatment. This study aims to compare these two strategies. Methods This retrospective study was divided into two periods. In period I, Gram-negative respiratory cultures from ICU patients were used to develop unit-specific combination antibiograms, and individual patient charts were reviewed to assess the impact of risk factors on antimicrobial susceptibility to develop a risk-factor based treatment algorithm. Optimal empiric regimens based on these two strategies were then defined. In period II, these regimens were hypothetically applied to patients to compare rates of appropriate empiric therapy and overuse by the two methods. Results Risk factor-based regimens had a higher appropriateness rate compared to regimens derived from antibiograms (89.9% vs 83.7%). Additionally, applying antibiogram based regimens resulted in a higher prevalence of antibiotic overuse than a patient-specific risk factor based approach (69.8% vs. 40.3%), with excess overuse driven by a higher frequency of unnecessary use of combination therapy. Conclusion Both strategies provided high rates of appropriateness in empiric antibiotic selection. However, the patient-specific risk factor-based approach demonstrated a higher rate of appropriate therapy and offered advantages in reducing rates of unnecessary combination therapy.

Transarterial Embolization for Musculoskeletal Pain Management: AJR Expert Panel Narrative Review.

Musculoskeletal embolization has emerged in recent years as a treatment for chronic joint pain, as the inflammatory cascade responsible for such pain has become better understood. Studies have demonstrated a complex interplay between joint inflammation and synovial hypervascularity that causes growth of new unmyelinated nerve fibers responsible for pain. Embolization targets joint hypervascularity, to disrupt the inflammatory cycle and provide pain relief. The standard treatment algorithm for chronic joint pain is well-established and entails escalating therapeutic options that include exercise, self-management programs, analgesic medications, intra-articular injections, and finally surgical replacement or release. Genicular artery embolization (GAE), targeting abnormal vasculature around the knee joint, is the most heavily studied musucloskeletal embolization procedure, reflecting the high worldwide prevalence and increasing incidence of knee osteoarthritis. GAE is now supported by multiple prospective studies, including randomized control trials comparing GAE versus sham treatment. Embolization has also extended outside of the knee joint to include the shoulder (treatment of adhesive capsulitis or secondary stiff shoulder), elbow (medial/lateral epicondylitis), hip (osteoarthritis, great trochanteric pain syndrome), and ankle (plantar fasciitis). This AJR Expert Panel Narrative Review discusses the current status of transarterial embolization for musculoskeletal pain management, focusing on treatment of knee osteoarthritis and chronic shoulder pain.

Achalasia: beyond the basics

Achalasia is a rare oesophageal disease characterised by an unrelaxing lower oesophageal sphincter and abnormal peristalsis of the oesophageal body. Achalasia symptoms include dysphagia to solid and liquid, chest pain, regurgitation and weight loss. Achalasia diagnosis might be delayed for many years when atypical symptoms dominate. Significant progress has been made over the last two decades regarding our understanding of pathophysiology, methods of evaluation and management. The development of high-resolution manometry in particular has improved the diagnosis of achalasia, as well as other major motility disorders. Subtyping achalasia into manometric patterns has pathophysiological and therapeutic implications. Furthermore, complementary tests such as timed barium swallow and the functional lumen imaging probe (EndoFLIP; Crospon Medical Devices, Galway, Ireland) have significantly added to achalasia diagnosis algorithm and management decision-making. Progression in management has helped optimise established therapy (pneumatic dilatation and Heller myotomy) and introduced new endoscopic treatments (peroral endoscopic myotomy) and surgical techniques (surgical robotic Heller myotomy). This review will aim to shed light on the most recent advances in achalasia diagnosis, classification and management.

Novel CYCLIN-O pathogenic variants in a patient presenting with bronchiectasis secondary to reduced generation of multiple motile cilia.

Reduced generation of multiple motile cilia (RGMC) represents a rare variant of Primary Ciliary Dyskinesia (PCD), associated with CYCLIN-O (CCNO) mutations. We report a novel compound mutation in the CCNO gene in an adult Chinese Singaporean exhibiting chronic productive cough since childhood and recurrent sino-pulmonary infections. Low nasal nitric oxide and bronchiectasis suggests PCD. Bronchoscopy for epithelial and nasal brushings for ciliary studies were repeated after adequate treatment of lower respiratory tract infections. Demonstration of oligo-cilia via transmission electron microscopy, and detection of CCNO mutation through genetic analysis were utilized to diagnose RGMC. Repeated courses of antibiotics including nebulised antibiotics were used to treat recurrent infections and exacerbations. Airway clearance techniques, immunizations and collaboration with otorhinolaryngologist form part of the long-term management. Heightened clinical suspicion and adherence to established diagnostic algorithms are essential for timely recognition of this entity.

ESC Heart Failure Association age-adjusted natriuretic peptide thresholds for a new diagnosis of heart failure: diagnostic accuracy study

Abstract Background Natriuretic peptide (NP) testing is an important part of the heart failure (HF) diagnostic pathway. The European Society of Cardiology (ESC) HF guidelines currently recommend a NT-proBNP cut-off &amp;lt;125pg/mL to rule out HF in the community.1 However, NP level increases with age and an NT-proBNP above 125pg/mL is common in older people in the general population. The ESC Heart Failure Association (HFA) recently published a practical algorithm for early diagnosis of HF recommending age-specific rule-in NT-proBNP thresholds: ≥125pg/ml for patients aged under 50 years, ≥250pg/ml for patients aged 50-75 years, and ≥500pg/ml for patients over 75 years (Figure 1).2 Purpose Our aim was to assess NT-proBNP test performance for HF diagnosis at the ESC HFA age-specific thresholds. Method We analysed our existing diagnostic accuracy study dataset containing primary care data from the Clinical Practice Research Datalink (CPRD) linked to inpatient Hospital Episode Statistics (HES) inpatient data between 2004 and 2018. NT-proBNP results were taken from the GP record (index test) and the primary outcome (reference standard) was a HF diagnostic code entered in CPRD or HES within six months of the test. NT-proBNP accuracy for HF was assessed by calculating sensitivity, specificity, positive predictive values (PPV), and negative predictive value (NPV). Receiver operating characteristic (ROC) curves were plotted to assess overall test performance. Results In total, 229,580 patients had an NP test and 21,102 (9.2%) were diagnosed with HF. The current ESC NT-proBNP threshold ≥125pg/mL had sensitivity 94.6% (95% confidence intervals [CI] 94.2 to 95.0), specificity 50.0% (95%CI 49.7 to 50.3), PPV 16.4% (16.1 to 16.6), NPV 98.9% (98.8 to 99.0)). Area under the ROC curve was 0.874 (0.871 to 0.877). Age-specific NT-proBNP thresholds performance: Below 50 years (≥125pg/mL): 32,882 people tested, HF prevalence 3.8%. Sensitivity 83.5 % (81.3 to 85.5), specificity 77.6% (77.2 to 78.1), PPV 13.0% (12.2 to 13.7), NPV 99.2% (99.0 to 99.3). 50 to 75 years ≥250pg/mL: 105,771 people tested, HF prevalence 9.8%. Sensitivity 88.5% (87.9 to 89.1), specificity 67.8% (67.5 to 68.0), PPV 23.1% (22.6 to 23.5), NPV 98.2% (98.1 to 98.3). Above 75 years ≥500pg/mL: 16,694 people tested, HF prevalence 17.5%. Sensitivity 84.4% (83.0 to 85.7), specificity 63.5% (62.7 to 64.3), PPV 32.8% (31.7 to 33.9), NPV 95.0% (94.6 to 95.5). Conclusion The age-specific NT-proBNP thresholds in the HFA practical algorithm had higher specificity so fewer people without HF would be referred, reducing demand for echocardiography and cardiology assessment overall meaning people with HF could be seen earlier. However, lower sensitivity means some cases of HF would initially be missed. NT-proBNP was a reliable ‘rule-out’ test at population level. The optimal NT-proBNP threshold will depend on the priorities and capacity of the national healthcare system.

Development of an automated process for monitoring of amiodarone treatment

Abstract Background Amiodarone treatment requires repeated laboratory evaluations of thyroid and liver function due to risk of side effects during long-term administration. Robotic process automation (RPA) represents the use of software robots to automate repetitive and routine tasks typically performed by humans. Purpose We aimed to develop an RPA using a diagnostic classification algorithm and clinical support system for follow-up of amiodarone treatment. Methods Based on international guidelines and clinical specialist advisory we constructed an RPA which was studied in a test environment in parallel with routine amiodarone treatment. Expert advice was integrated through a series of collaborative workshops, ensuring alignment of the algorithm with current best practices in thyroid and liver disease management. The RPA provided recommendations on the time interval to next laboratory testing and suggestions for patient management to the physician, who was serving as a human-in-the-loop responsible for clinical decisions. Results After iterative improvements the RPA was evaluated against physician orders (n=390 paired orders) without technical failures. The recommended time interval to next follow-up was (mean ± SD) 4.5 ± 2.4 vs. 3.1 ± 1.4 months for RPA vs. physician (p&amp;lt;0.0001). While normal laboratory findings resulted in recommended follow-up in 6 months by the RPA (72.2%) this was only ordered in 9.9% by the physician (Figure). Physicians’ orders clustered between 3-4 months (58.5%). All patients diagnosed with new side effects (n=12) were detected and communicated correctly by the RPA, whereas only 8 were correctly detected and responded to by the physician (Table). Conclusions An automated process constitutes a reliable alternative to the current fully manual management of amiodarone follow-up. It may reduce manual labour, frequency of laboratory testing and detect side effects with increased precision, thereby reducing costs and enhancing patient value. While the RPA shows promise, further research is needed to explore its adaptability to other treatment scenarios.

Imprecision and real-time clinical performance of a whole blood high sensitivity point of care troponin i: ready for prime time?

Abstract Introduction High sensitivity troponin (hs-cTn) measurement is central to rapid diagnostic algorithms in acute coronary syndrome (ACS). Point of care (POC) testing reduces turnaround time when compared to central lab (CL) testing. Currently there is very little data on the performance of POC hs-cTn assays in a clinical environment with non-expert operators. Method In a nested sub-study of a randomised controlled trial (RCT), patients with suspected ACS were randomised to either the ESC 0/1 or 0/3 hour algorithm. They underwent whole blood (WB) sampling for Siemens Atellica VTLi hs-cTnI POC (VTLi POC), CL hs-cTnI and CL hs-cTnT assays. This was for both initial and repeat samples. Assay imprecision of the VTLi POC assay was assessed by 2 runs of 10 tests with whole blood at 9 different troponin levels. 4 devices were used with samples stored at room temperature.Final diagnosis was adjudicated based on all relevant clinical and imaging data together with CL hs-cTnT as the diagnostic biomarker in clinical use (10% coefficient of variation (CV) 3-5 ng/L, 99th percentile 14 ng/L) and using the 4th universal definition of myocardial infarction (MI). Clinical performance was assessed using Receiver Operator Characteristics (ROC) curves. Results 2144 patients consented and had WB VTLi POC, CL hs-cTnI and CL hs-cTnT available. The index adjudicated type 1 MI rate was 6.1%. Assay imprecision of the VTLi POC assay demonstrated a 10% Coefficient of Variation (CV) at 9.8ng/l. This was &amp;gt;50% lower than the 99th centile of 23ng/l (average for males and females) (Figure 1). Clinical performance of the VTLi POC assay was acceptable and equivalent to CL hs-cTnT: Area Under Curve (AUC) 0.92 (0.89-0.96), 0.98 (0.96-0.99) and 0.93 (0.87-0.98) at presentation (Figure 2), 1 and 3 hours respectively. However, clinical performance was inferior to CL hs-cTnI: AUC 0.96 (0.95-0.98) and 0.96 (0.93-0.98) at presentation (p=0.0007) and 3 hours (p&amp;lt;0.0001) respectively. Conclusion The Siemens Altellica VTLi hs-cTnI POC assay has imprecision levels consistent with a high sensitivity troponin assay. It has acceptable clinical performance though inferior to the equivalent CL hs-cTnI. Further validation of this assay, particularly with optimised single sample rule-out, could facilitate its use in routine clinical practice.

Coronary Computed Tomographic Angiography (CCTA) in non-ST elevation acute coronary syndromes

Abstract Background In patients presenting with an acute coronary syndrome (ACS), a diverse range of coronary artery disease is observed from structurally normal vessels to non-obstructive atherosclerosis and severe/obstructive coronary artery disease (CAD). In current clinical practice guidelines, the main diagnostic route for optimal management of patients with non-ST segment elevation acute coronary syndrome is invasive coronary angiography. However, in 30-40% of cases, no significant coronary lesions are evident. The purpose of this study is to describe the role of coronary computed tomographic angiography (CCTA) in non-ST elevation acute coronary syndromes in low and intermediate risk patients. Methods We describe the results of 504 patients evaluated with a protocol that includes the use of CCTA in patients with ACS. Patients over 18 years of age with a diagnosis of ACS without ST elevation who did not meet high-risk criteria (hemodynamic instability, dynamic changes in the ST segment or T wave, ventricular arrhythmia, GRACE score &amp;gt;140, refractory angina, heart failure or cardiorespiratory arrest) were included. They underwent CCTA as the initial coronary evaluation. Data collection was carried out between May 11, 2022 and February 20, 2024. Results 504 patients were included, with a mean age of 58 years, of which 44% were women and 56% men. Among the admission diagnoses, 26% were NSTEMI and 74% were unstable angina according to the 4th universal definition of acute myocardial infarction (AMI). The median high-sensitivity cardiac troponin T value was 7 nanograms per liter (interquartile range, 7 to 15) for the first troponin measurement. CCTA was performed in 93% of the patients. It was observed that 28% did not have any coronary lesions or plaques. 36% had non-obstructive coronary artery disease (plaques &amp;lt;50%). The rest had significant lesions in at least one vessel (27%), predominantly in the left anterior descending artery, or were nondiagnostic (9%). 31% had myocardial bridges, while in 13% of the patients a high-risk plaque was found. 38% of the patients included underwent invasive coronary angiography and 23% required revascularisation. Conclusion This study shows that the prevalence of ACS with coronary arteries without significant lesions by CCTA was 28%, which suggests CCTA could have a predominant role in the diagnostic algorithm of acute coronary syndromes without high-risk criteria, implying a decrease in the need of invasive studies in these patients. Only 38% required invasive coronary angiography, while revascularisation was performed in 23% of the patients. Furthermore, CCTA allowed a better detection of non-obstructive coronary artery disease (NOCAD) in 36% of the patients, and a more complete characterization of the atherosclerotic plaque, which could prompt to an initiation of preventive therapies or the optimization of medical treatment in these patients.Table 1CCTA findings

Screening for congenital Chagas disease in a non-endemic area: a cost-effectiveness analysis

Abstract Background Due to climate changes, immigration, and globalization, Chagas Disease (CD) also afflicts nations without vector transmission. In Europe, congenital CD (cCD) is a significant public health issue, perpetuating the disease: it is crucial to perform CD screening in pregnant women at risk, as the treatment of infants is effective in eradicating the infection. Only a few European regions have a definite algorithm for diagnosing cCD, but no official guidance has been published at the national or European level. To support policymakers, this study aims to outline a cost-effectiveness analysis of CD screening in non-endemic areas, such as Italy, in pregnant women born or arriving from endemic countries and in their newborns. Methods To measure the economic impact of cCD screening, a decision tree model will be used to compare the test option (screening, diagnosis, treatment, follow-up) with no test option (no screening, progression of disease). Model parameters will be taken from relevant scientific literature. The primary outcome will be the Incremental Cost-Effectiveness Ratio (ICER) between the two options. Sensitivity analyses will be conducted to determine how changes in prevalence, transmission rate, screening adherence, and treatment adherence may affect the ICER. Results We expect the ‘test’ option to be cost-effective even with significant reductions in prevalence, transmission rate, adherence to screening or treatment. Threshold levels of these variables will allow to critically extend the results to areas with reduced immigration, patchy distribution of migrants at risk, health logistical limitations, and limited access to care for immigrants. Conclusions Our findings can help policymakers implement official screening programs and diagnostic algorithms for cCD in Italy and other non-endemic countries. This contributes to SDG 3 by combating the spread and burden of neglected tropical diseases and contributing to maternal, child, and migrant health. Key messages • Screening for congenital Chagas Disease in a non-endemic area may be cost-effective and cost-saving. • Study findings could provide useful information for health policymakers to combat Chagas Disease in Europe.