Pyoderma gangrenosum (PG) is an inflammatory condition characterized by chronic cutaneous ulcerations. There are three proposed PG diagnostic frameworks (Su, PARACELSUS, Delphi); however, they lack consensus, and their performance has not yet been validated in a well-defined cohort of patients with PG. In this cross-sectional retrospective cohort study, we sought to evaluate and compare the concordance of these diagnostic frameworks within a single-institution cohort of patients with PG. There were 47 patients from an initial 76 identified by International Classification of Diseases-9 and/or International Classification of Diseases-10 codes, where two PG experts agreed in their diagnosis of PG on the basis of clinical descriptions, photographs, and pathology. This group was the PG cohort by which we evaluated the performance and concordance of the diagnostic frameworks. The PARACELSUS score identified the highest proportion of patients with PG (89% [42 of 47 patients]), followed by Delphi and Su criteria, each at 74% (35 of 47 patients). Assessment of multirater agreement found that the three criteria agreed in their diagnoses for 72% of the patients (95% confidence interval = 60-85%); chance-adjusted agreement was determined to be 0.44 (95% confidence = 0.16-0.68, Fleiss' kappa). Future research should seek to refine these diagnostic frameworks and identify targeted methods of testing to reduce rates of PG misdiagnosis and patient misclassification in clinical trials.
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http://dx.doi.org/10.1016/j.jid.2020.04.019 | DOI Listing |
Viruses
January 2025
Antiguo Hospital Civil de Guadalajara, "Fray Antonio Alcalde", Guadalajara 44280, Mexico.
This study investigates the relationship between SARS-CoV-2 RT-PCR cycle threshold (Ct) values and key COVID-19 transmission and outcome metrics across five years of the pandemic in Jalisco, Mexico. Utilizing a comprehensive time-series analysis, we evaluated weekly median Ct values as proxies for viral load and their temporal associations with positivity rates, reproduction numbers (Rt), hospitalizations, and mortality. Cross-correlation and lagged regression analyses revealed significant lead-lag relationships, with declining Ct values consistently preceding surges in positivity rates and hospitalizations, particularly during the early phases of the pandemic.
View Article and Find Full Text PDFNutrients
January 2025
Department of Cardiology & 65+ Geriatric Outpatient Clinic, Amalia Fleming General Hospital, 14, 25th Martiou Str., 15127 Melissia, Greece.
Sarcopenia, an age-related decline in skeletal muscle mass, strength, and function, is increasingly recognized as a significant condition in the aging population, particularly among those with cardiovascular diseases (CVD). This review provides a comprehensive synthesis of the interplay between sarcopenia and cardiogeriatrics, emphasizing shared mechanisms such as chronic low-grade inflammation (inflammaging), hormonal dysregulation, oxidative stress, and physical inactivity. Despite advancements in diagnostic frameworks, such as the EWGSOP2 and AWGS definitions, variability in criteria and assessment methods continues to challenge standardization.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Shanghai Film Academy, Shanghai University, Shanghai 200072, China.
The advancement of neural radiance fields (NeRFs) has facilitated the high-quality 3D reconstruction of complex scenes. However, for most NeRFs, reconstructing 3D tissues from endoscopy images poses significant challenges due to the occlusion of soft tissue regions by invalid pixels, deformations in soft tissue, and poor image quality, which severely limits their application in endoscopic scenarios. To address the above issues, we propose a novel framework to reconstruct high-fidelity soft tissue scenes from low-quality endoscopic images.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Heime (Tianjin) Electrical Engineering Systems Co., Ltd., Tianjin 301700, China.
This paper introduces a novel geometry-based synchrosqueezing S-transform (GSSST) for advanced gearbox fault diagnosis, designed to enhance diagnostic precision in both planetary and parallel gearboxes. Traditional time-frequency analysis (TFA) methods, such as the Synchrosqueezing S-transform (SSST), often face challenges in accurately representing fault-related features when significant mode closely spaced components are present. The proposed GSSST method overcomes these limitations by implementing an intuitive geometric reassignment framework, which reassigns time-frequency (TF) coefficients to maximize energy concentration, thereby allowing fault components to be distinctly isolated even under challenging conditions.
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January 2025
Department of Electrical and Information Engineering, Kiel University, 24143 Kiel, Germany.
Clinical motion analysis plays an important role in the diagnosis and treatment of mobility-limiting diseases. Within this assessment, relative (point-to-point) tracking of extremities could benefit from increased accuracy. Given the limitations of current wearable sensor technology, supplementary spatial data such as distance estimates could provide added value.
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