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Background: Acute respiratory infections are a common reason for consultation with primary and emergency healthcare services. Identifying individuals with a bacterial infection is crucial to ensure appropriate treatment. However, it is also important to avoid overprescription of antibiotics, to prevent unnecessary side effects and antimicrobial resistance. We conducted a systematic review to summarise evidence on the diagnostic accuracy of symptoms, signs and point-of-care tests to diagnose bacterial respiratory tract infection in adults, and to diagnose two common respiratory viruses, influenza and respiratory syncytial virus. Methods: The primary approach was an overview of existing systematic reviews. We conducted literature searches (22 May 2023) to identify systematic reviews of the diagnostic accuracy of point-of-care tests. Where multiple reviews were identified, we selected the most recent and comprehensive review, with the greatest overlap in scope with our review question. Methodological quality was assessed using the Risk of Bias in Systematic Reviews tool. Summary estimates of diagnostic accuracy (sensitivity, specificity or area under the curve) were extracted. Where no systematic review was identified, we searched for primary studies. We extracted sufficient data to construct a 2 × 2 table of diagnostic accuracy, to calculate sensitivity and specificity. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies version 2 tool. Where possible, meta-analyses were conducted. We used GRADE to assess the certainty of the evidence from existing reviews and new analyses. Results: We identified 23 reviews which addressed our review question; 6 were selected as the most comprehensive and similar in scope to our review protocol. These systematic reviews considered the following tests for bacterial respiratory infection: individual symptoms and signs; combinations of symptoms and signs (in clinical prediction models); clinical prediction models incorporating C-reactive protein; and biological markers related to infection (including C-reactive protein, procalcitonin and others). We also identified systematic reviews that reported the accuracy of specific tests for influenza and respiratory syncytial virus. No reviews were found that assessed the diagnostic accuracy of white cell count for bacterial respiratory infection, or multiplex tests for influenza and respiratory syncytial virus. We therefore conducted searches for primary studies, and carried out meta-analyses for these index tests. Overall, we found that symptoms and signs have poor diagnostic accuracy for bacterial respiratory infection (sensitivity ranging from 9.6% to 89.1%; specificity ranging from 13.4% to 95%). Accuracy of biomarkers was slightly better, particularly when combinations of biomarkers were used (sensitivity 80-90%, specificity 82-93%). The sensitivity and specificity for influenza or respiratory syncytial virus varied considerably across the different types of tests. Tests involving nucleic acid amplification techniques (either single pathogen or multiplex tests) had the highest diagnostic accuracy for influenza (sensitivity 91-99.8%, specificity 96.8-99.4%). Limitations: Most of the evidence was considered low or very low certainty when assessed with GRADE, due to imprecision in effect estimates, the potential for bias and the inclusion of participants outside the scope of this review (children, or people in hospital). Future work: Currently evidence is insufficient to support routine use of point-of-care tests in primary and emergency care. Further work must establish whether the introduction of point-of-care tests adds value, or simply increases healthcare costs. Funding: This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme as award number NIHR159948.

Respiratory infections are a common cause of illness. Currently, healthcare professionals use clinical experience to decide whether an infection is caused by a virus or bacteria, and whether antibiotics are needed. However, this is not always easy to establish. We tried to identify the effectiveness of rapid tests (with results in under 45 minutes) at distinguishing between viral and bacterial respiratory infections. We identified and summarised all the existing reviews and studies in this area. We looked at many different tests which aim to distinguish between bacterial and viral causes of respiratory infections. In particular, we assessed: individual symptoms and signs (such as the presence of cough, or a fever) combinations of symptoms and signs (the presence or absence of multiple symptoms) various 'biomarker' tests (blood tests for evidence that the body has used its defence mechanisms) We also looked at specific tests for flu and respiratory syncytial virus, which are common causes of viral infection. The reviews we found showed symptoms and signs were not able to identify bacterial infections in people accurately. The accuracy of biomarker tests was slightly better, particularly when multiple markers were used. The accuracy of rapid tests for flu and respiratory syncytial virus varied; the most accurate tests were those that detect viral genetic material. We also found studies showing that genetic tests that identify many viruses at once (multiplex tests) were very accurate. However, most of the evidence we identified was not robust. There were concerns about the conduct of some of the studies. In some cases there was uncertainty whether a test was really accurate enough to be useful. Therefore there is still doubt about whether any of these tests will be useful additions to current clinical care.

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Erythrasma is a common chronic superficial bacterial infection caused by Corynebacterium minutissimum, a lipophilic, diphtheroid, filamentous, gram-positive bacillus and normal inhabitant of the skin flora. Commonly found in intertriginous spaces, this bacterium releases a porphyrin that causes lesions to fluoresce under a Wood's lamp, aiding diagnosis. Despite its clinical relevance, the pathogenesis remains understudied. We present a case of a 43-year-old woman with a history of hypertension, type 2 diabetes mellitus, and obesity who exhibited an erythematous eczematous plaque with characteristic coral-red fluorescence under Wood's lamp. The diagnosis was confirmed through negative skin scrapings for candidiasis and dermatophytosis. A two-week course of topical clindamycin resulted in complete resolution. Given the condition's frequent coexistence with other pathologies, accurate diagnosis and effective treatment are essential. Topical treatments are usually more convenient. The hypothesis that hydrophobic and lipophilic interactions in intertriginous areas contribute to the pathogenesis of erythrasma requires further experimental validation.

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BACKGROUND: Behçet syndrome (BS) is a vasculitis of variable vessels with multiple organ manifestations. OBJECTIVE: This article gives an overview of innovations in the last 2 years. MATERIAL AND METHODS: A literature search was carried out using the keyword "Behcet" in 2022-2024 in PubMed. The selection of suitable articles was based on the relevance. RESULTS AND CONCLUSION: With respect to the pathophysiology it is now clear that BS occupies an intermediate position between autoinflammatory and autoimmune clinical pictures. It is now classified as MHC-I-opathy, i.e., a disease that has a strong association with HLA class I antigens, which also play a prominent role in the pathogenesis. The diagnostic international criteria for Behcet's disease (ICBD) from 2014 with a score of 4 points or more that makes the diagnosis of BS probable have become established; however, in countries with a low prevalence of BS, the differential diagnosis of BS from other diseases is difficult and a higher point limit in the diagnostic score seems to make sense in order to avoid incorrect diagnoses. Clusters or phenotypes of the disease have now been described in various countries in which different symptom complexes frequently occur together; however, the clusters differ between the different countries of origin and depending on the age of the patients. Sonography of the common femoral vein with specific wall thickening in BS patients has been established as an additional tool for the differential diagnosis. Typical characteristics of oral aphthae in BS were also described and the frequency of positivity in the pathergy test could be significantly increased using pneumococcal antigens as the reagent. The treatment recommendations of the EULAR from 2018 still apply; in treatment-refractory cases, tocilizumab, secukinumab, Janus kinase inhibitors (JAKi) and ustekinumab have now also been successfully used. The new EULAR treatment recommendations are expected in 2025.

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BACKGROUND: Radiomics has become an important tool for distinguishing benign and malignant vertebral compression fractures (VCFs). It is more clinically significant to concentrate on patients who have malignant tumors and differentiate between benign and malignant VCFs. PURPOSE: To explore the value of multiple machine learning (ML) models based on CT radiomics features for differentiating benign and malignant VCFs in patients with malignant tumors. MATERIAL AND METHODS: This study retrospectively analyzed 78 patients with malignant tumors accompanied by VCFs, 45 patients with benign VCFs, and 33 patients with malignant VCFs. A total of 140 lesions (86 benign lesions, 54 malignant lesions) were ultimately included in this study. All patients were divided into training sets (n = 98) and validation sets (n = 42) according to the 7:3 ratio. The radiomics features were screened and dimensioned, and multiple radiomics ML models were constructed. The receiver operating characteristic (ROC) curve was performed to assess the diagnostic performance. RESULTS: Five radiomics features were included in the model. All the ML models built have good diagnostic efficiency, among which the support vector machine (SVM) model performs better. The area under the curve (AUC), sensitivity, specificity, and accuracy in the training set were 0.908, 0.816, 0.883, and 0.857, respectively, while those in the validation set were 0.911, 0.647, 0.92, and 0.81, respectively. CONCLUSION: A variety of ML models built based on CT radiomics features have good value for differentiating benign and malignant VCFs in malignant tumor patients, and the SVM model has a better performance.

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Giant cell tumors of the bone are local invasive diseases that are mainly composed of neoplastic monocytes and nonneoplastic multinucleated giant cells, mostly in the long bones of patients with mature bones. A specific H3F3A mutation is the key to its diagnosis. The present paper reports a case of giant cell tumor of the bone (GCTB) characterized by diffuse cholesterol crystals with few multinucleated giant cells. Imaging examination combined with immunohistochemical H3.3 G34W positivity was used to diagnose the patient with GCTB. Understanding the unique histological morphology of this patient will help doctors correctly diagnose giant cell tumors of bone and avoid misdiagnosis.

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This study investigated the injury patterns associated with fatal falls from heights compared to individuals struck by cars, aiming to enhance the differential diagnosis in ambiguous cases, where it is unclear whether the body fell from nearby building or was left on the street following a road traffic incident. A retrospective review of comprehensive forensic reports from the Institute of Legal Medicine of the University of Rome "Tor Vergata" between 2012 and 2023 was conducted. The analysis included 232 cases, gathering data on internal organ injuries, skeletal fractures, external skin injuries, as well as pleural, peritoneal, and pericardial effusions. Bilateral lung injuries were significantly more common in falls from height (33.3%) compared to pedestrians (13.6%, p < 0.001). Liver injuries also occurred more frequently in fall victims (49.6%) than in pedestrians (28.2%, p < 0.001). Skull fractures were more frequent in falls from height (68.2%) versus individuals struck by cars (55.3%, p = 0.044), while unilateral leg fractures were more common in pedestrians (28.2%) compared to fall victims (16.3%, p = 0.029). External injuries, notably to the head and legs, were more frequent in pedestrians. The "Total Injured Skin Area" analysis revealed a significant discriminative power with an optimal cut-off of 84.2 cm², suggesting that injuries exceeding this threshold may be indicative of a pedestrian road fatality.

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Spondyloarthritis comprises a number of related but different disorders with distinct phenotypes: psoriatic arthritis, reactive arthritis, arthritis related to inflammatory bowel disease, undifferentiated arthritis, and ankylosing spondylitis (the well-known prototypic subtype). Differentiating rheumatic diseases, such as rheumatoid arthritis, synovitis-acne-pustulosis-hyperostosis-osteitis syndrome, pustulotic arthro-osteitis, gout and spondyloarthritis, is difficult because they all may manifest swelling at the upper anterior chest wall, often involve the sternocostal and/or sternoclavicular joints, and clearly show cutaneous nodular symptoms, so that they may mimic Tietze's syndrome in the presentation. Tietze's syndrome is a benign, self-limiting entity with tender, non-suppurative swelling in the upper anterior chest wall, especially at the second and third costosternal junctions and the sternoclavicular joint. Therefore, distinguishing spondyloarthritis from Tietze's syndrome during an entire disease course is important, even after an initial tentative diagnosis. This article aims to re-evaluate the importance of Tietze's syndrome in the differential diagnosis of spondyloarthritis, while keeping in mind information about rheumatic diseases affecting the upper anterior chest wall.

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Multiple sclerosis and aquaporin-4 antibody neuromyelitis optica spectrum disorders are distinct autoimmune CNS disorders with overlapping clinical features but differing pathology. Multiple sclerosis is primarily a demyelinating disease with the presence of widespread axonal damage, while neuromyelitis optica spectrum disorders is characterized by astrocyte injury with secondary demyelination. Diagnosis is typically based on lesion characteristics observed on standard MRI imaging and antibody testing but can be challenging in patients with in-between clinical presentations. Non-conventional MRI techniques can provide valuable diagnostic information by measuring disease processes at the microstructural level. We used non-conventional MRI to measure markers of axonal loss in specific white matter tracts in multiple sclerosis and neuromyelitis optica spectrum disorders, depending on their relationship with focal lesions. Patients with relapsing-remitting multiple sclerosis (n = 20), aquaporin-4 antibody-associated neuromyelitis optica spectrum disorders (n = 20) and healthy controls (n = 20) underwent a 3T brain MRI, including T1-, T2- and diffusion-weighted sequences, quantitative susceptibility mapping and phase-sensitive inversion recovery sequence. Tractometry was used to differentiate tract fibres traversing through white matter lesions from those that did not. Neurite density index was assessed using neurite orientation dispersion and density imaging model. Cortical damage was evaluated using T1 relaxation rates. Cortical lesions and paramagnetic rim lesions were identified using phase-sensitive inversion recovery and quantitative susceptibility mapping. In tracts traversing lesions, only one out of 50 tracts showed a decreased neurite density index in multiple sclerosis compared with neuromyelitis optica spectrum disorders. Among 50 tracts not traversing lesions, six showed reduced neurite density in multiple sclerosis (including three in the cerebellum and brainstem) compared to neuromyelitis optica spectrum disorders. In multiple sclerosis, reduced neurite density was found in the majority of fibres traversing (40/50) and not traversing (37/50) white matter lesions when compared to healthy controls. A negative correlation between neurite density in lesion-free fibres and cortical lesions, but not paramagnetic rim lesions, was observed in multiple sclerosis (39/50 tracts). In neuromyelitis optica spectrum disorders compared to healthy controls, decreased neurite density was observed in a subset of fibres traversing white matter lesions, but not in lesion-free fibres. In conclusion, we identified significant differences between multiple sclerosis and neuromyelitis optica spectrum disorders corresponding to their distinct pathologies. Specifically, in multiple sclerosis, neurite density reduction was widespread across fibres, regardless of their relationship to white matter lesions, while in neuromyelitis optica spectrum disorders, this reduction was limited to fibres passing through white matter lesions. Further studies are needed to evaluate the discriminatory potential of neurite density measures in white matter tracts for differentiating multiple sclerosis from neuromyelitis optica spectrum disorders.

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RATIONALE AND OBJECTIVES: Evaluating the capability of CT nomograms and CT-based radiomics nomograms to differentiate between Bronchiolar Adenoma (BA) and Early-stage Lung Adenocarcinoma (LUAD). MATERIALS AND METHODS: In this retrospective study; we analyzed data from 226 patients who were treated at our institution and pathologically confirmed to have either BA or Early-stage LUAD. Patients were randomly divided into a training cohort (n=158) and a testing cohort (n=68). All CT images were independently analyzed and measured by two radiologists using conventional computed tomography. Clinical predictive factors were identified using logistic regression. Multivariable logistic regression analysis was used to construct differential diagnostic models for BA and early-stage LUAD, including traditional CT and radiomics models. The performance of the models was determined based on the area under the receiver operating characteristic curve, discrimination ability, and decision curve analysis (DCA). RESULTS: Lesion shape, tumor-lung interface, and pleural retraction signs were identified as independent clinical predictors. The areas under the curve for the CT nomogram, radiomic features, and radiomics nomogram were 0.854, 0.769, and 0.901, respectively. Both the CT nomogram and the radiomics nomogram demonstrated good generalizability in distinguishing between the two entities. DCA indicated that the nomograms achieved a higher net benefit compared to the use of radiomic features alone. CONCLUSION: The two preoperative nomograms hold significant value in differentiating between patients with BA and those with Early-stage LUAD, and they contribute to informed clinical treatment decision-making.

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This case report presents the association of a chorionic bump with a partial mole pregnancy in a 37-year-old G3P2 woman. The differential diagnosis of a partial mole was considered after transvaginal ultrasonography revealed a chorionic bump. Subsequent pathological analysis confirmed the diagnosis. While the etiology of the chorionic bump remains dubious, we hypothesize an alternative explanation for chorionic bump formation based on the presence of three unique pathological features: necrosis, edema, and hemorrhage.

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This case report details the diagnostic challenges of an 84-year-old male with unrecognized dementia with Lewy bodies (DLB) who presented to the emergency department (ED) with episodes of unresponsiveness and depressed consciousness. Despite normal initial laboratory and imaging tests, recurrent symptoms prompted further evaluation, which, along with a detailed history and physical examination, led to the DLB diagnosis. This case underscores the importance of considering DLB in patients with unexplained recurrent depressed consciousness and highlights the importance of clarifying the etiologies of dementia.

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Objective: Unresponsive wakefulness syndrome/vegetative state (UWS/VS) and minimally conscious state (MCS) are considered different clinical entities, but their differential diagnosis remains challenging. As a potential clinical tool, functional magnetic resonance imaging (fMRI) could detect residual awareness without the need for the patients' actual motor responses. This study aimed to investigate the diagnostic value of fMRI for distinguishing between UWS/VS and MCS through a meta-analysis of the existing studies. Methods: We conducted a comprehensive search (from the database creation date to November. 2023) for relevant English articles on fMRI for the differential diagnosis of UWS/VS and MCS. The pooled sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), summary receiver operating characteristic (SROC) curve, and area under the curve (AUC) were calculated to assess the diagnostic value of fMRI in distinguishing between UWS/VS and MCS. The statistical I 2 test was used to assess heterogeneity, and the source of heterogeneity was investigated by performing a meta-regression analysis. Publication bias was assessed using the Deeks funnel plot asymmetry test. Results: Ten studies were included in the meta-analysis. The pooled sensitivity and specificity were 0.71 (95% CI 0.62-0.79) and 0.71 (95% CI 0.54-0.84), respectively. The fMRI for the differential diagnosis of UWS/VS and MCS has a moderate positive likelihood ratio (2.5) and a relatively low negative likelihood ratio (0.40). Additionally, SROC curves showed that the AUC was 0.76 (95% CI 0.72-0.80). Conclusion: Functional magnetic resonance imaging has a good performance in the differential diagnosis of UWS/VS and MCS, and may provide a potential tool for evaluating the prognosis and guiding the rehabilitation therapy in patients with disorders of consciousness.

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Focal liver lesions are frequently encountered during imaging studies, and hemangiomas represent the most common solid liver lesion. Liver hemangiomas usually show characteristic imaging features that enable characterization without the need for biopsy or follow-up. On the other hand, there are many benign and malignant liver lesions that may show one or more imaging features resembling hemangiomas that radiologists must be aware of. In this article we will review the typical imaging features of liver hemangiomas and will show a series of potential liver hemangiomas' mimickers, giving radiologists some hints for improving differential diagnoses. CRITICAL RELEVANCE STATEMENT: The knowledge of imaging features of potential liver hemangiomas mimickers is fundamental to avoid misinterpretation. KEY POINTS: Liver hemangiomas typically show imaging features that enable avoiding a biopsy. Many benign and malignant liver lesions show imaging features resembling hemangiomas. Radiologists must know the potentially misleading imaging features of hemangiomas' mimickers.

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Not required for Clinical Vignette.

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Cytomegalovirus (CMV) retinitis is the most common eye disease associated with CMV infection in immunocompromised individuals. The CMVR may initially be asymptomatic; however, relatively mild vitreous inflammation at the onset may be an important differential point from other diseases in HIV patients. Fundus photography, CD4 T-cell count, and telemedicine could be used to screen and monitor the high-risk population, particularly in resource-limited regions. Retinitis generally starts in the peripheral retina and advances toward the posterior pole, which could develop to the characteristic "pizza pie" appearance marked by central retinal necrosis and intraretinal hemorrhage. CMVR causes vision loss if left untreated, and early antiviral therapy significantly reduces the risk of vision loss. Alongside traditional antiviral treatments, immunotherapies including CMV-specific adoptive T-cell therapy and CMV immunoglobulin (CMVIG) are emerging as promising treatment options due to their favorable tolerability and reduced mortality. This review comprehensively examines CMV retinitis, encompassing the clinical features, differential diagnosis, laboratory tests, and updated treatment strategies to inform clinical management.

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This study aims to to establish a diagnosis model based on simple clinical features for children with cervical histiocytic necrotizing lymphadenitis or malignant lymphoma. Simple clinical features of pediatric patients were analyzed to develop a diagnosis model based on a comparison of classical machine-learning algorithms. This was a single-center retrospective study in a tertiary pediatrics hospital. Pediatric patients treated for cervical histiocytic necrotizing lymphadenitis or malignant lymphoma treated at our institution in recent 5 years were included. Demographic data and laboratory values were recorded and binary logistics regression analysis was applied to select possible predictors to develop diagnostic models with different algorithms. The diagnostic efficiency and stability of each algorithm were evaluated to select the best one to help establish the final model. Eighty-three children were included with 45 cases of histiocytic necrotizing lymphadenitis and 38 cases of malignant lymphoma. Peak temperature, white blood cell count, monocyte percentage, and urea value were selected as possible predictors based on the binary logistics regression analysis, together with imaging features already reported (size, boundary, and distribution of mass). In the ten-round random testing sets, the discriminant analysis algorithm achieved the best performance with an average accuracy of 89.0% (95% CI 86.2-93.6%) and an average AUC value of 0.971 (95% CI 0.957-0.995). CONCLUSION: A discriminant analysis model based on simple clinical features can be effective in differential diagnosis of cervical histiocytic necrotizing lymphadenitis and malignant lymphoma in children. Peak body temperature, white blood cell count, and short diameter of the largest mass are significant predictors. WHAT IS KNOWN: • Several multivariate diagnostic models for HNL and ML have been proposed based on B-ultrasound or CT features in adults. • The differences between children and adults are nonnegligible in the clinical featues of HNL. WHAT IS NEW: • The study firstly report a large-sample diagnostic model between the HNL and MLin pediatric patients. • Non-imaging clinical features has also been proven with quite good diagnostic value.

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OBJECTIVES: Childhood cancer often presents with non-specific signs and symptoms that might mimic non-malignant disorders including musculoskeletal diseases, potentially leading to rheumatic and orthopaedic misdiagnoses. We aimed to compare clinical presentation, diagnostic interval and survival in paediatric acute myeloid leukaemia (AML) with and without initial musculoskeletal symptoms. METHODS: This nationwide retrospective, cohort study reviewed medical records of 144 children below 15 years diagnosed with AML in Denmark from 1996 to 2018. RESULTS: Musculoskeletal symptoms occurred in 29% (42/144) of children with AML and 8% (11/144) received an initial musculoskeletal misdiagnosis, being mainly non-specific and pain-related. The children with and without musculoskeletal symptoms did not differ markedly up to the diagnosis of AML and blood counts were affected equally in both groups. However, the children with prior musculoskeletal symptoms were more likely to have elevated levels of LDH and ferritin. Furthermore, they revealed a tendency towards a longer total interval (median 53 days vs. 32 days, p = 0.07), but the overall survival did not differ. CONCLUSION: AML should be considered as an underlying cause in children with unexplained musculoskeletal symptoms and abnormal blood counts. Concomitant elevation of LDH and ferritin should strengthen the suspicion.

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In the field of ophthalmology, orbital fat prolapse under the upper eyelid is less recognized than subconjunctival orbital fat prolapse. Despite its occasional occurrence in clinical practice, this condition is often inadequately understood and incorrectly classified due to its subtle manifestations and the limited number of focused studies. Typically affecting young patients, the prolapse is located subcutaneously in the mid-upper eyelid, resulting in a pseudo-occlusion. This study aims to investigate this specific ocular anomaly, we delineate the clinical presentations, surgical interventions, and differential diagnoses of this condition through three representative cases, proposing its classification as a distinct disease entity named Upper Eyelid Subcutaneous Orbital Fat Prolapse (UESOFP).

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PURPOSE: We assessed clinical cases to investigate the spectrum of indications for ultra-longterm EEG monitoring using a subcutaneous implantable device in adult patients with focal epilepsy. METHODS: Electronic charts were reviewed from patients undergoing ultra-longterm recordings at the European Epilepsy centers Barcelona, Freiburg and Vienna. Specific patient settings approached in the three centers were analyzed, and the main clinical question was extracted. Results from recordings were analyzed based on the specific results and information obtained. RESULTS: 24 patients in whom ultra-longterm recordings were available were analyzed. A total of 11 main indications for subcutaneous long-term EEG recordings were identified, including the identification of active epilepsy in patients with low seizure frequency, under- and overreporting of patients, differentiation of non-epileptic from epileptic events, assessment of seizure severity, circadian and multidian rhythms of seizure occurrence, validation of treatment efficacy, improvement of patient-based reporting and medicolegal evidence for seizure freedom. This is reported with patient-specific case vignettes. CONCLUSION: Ultra-longterm monitoring using subcutaneous implantable EEG devices can provide relevant diagnostic and treatment information in a large spectrum of clinical situations. This is discussed considering the intrinsic limitations of the method related to spatial coverage, sensitivity and validity as a biomarker of ongoing seizures.