Background: Rapid and accurate diagnosis of infective endocarditis (IE) allows timely management of this life-threatening disease and improves outcome. The Duke criteria have traditionally been the clinical method for diagnosing IE. These criteria were reformulated at different timepoints. We aimed to evaluate the real accuracy of the modified Duke criteria based on several studies that concluded the diagnosis of IE.
Methods: Three databases were assessed. Studies were considered for inclusion if they reported the use of modified Duke criteria as the initial approach and the confirmation of the diagnosis with the gold standard methods. The meta-analysis of diagnostic test accuracy was performed after fitting the hierarchical summary receiver operating characteristic model (HSROC) with bivariate model and displaying the summarized measures of sensitivity and specificity, and positive and negative likelihood ratios.
Results: A total of 11 studies were included. Accuracy in the included studies ranged from 62.3 to 92.2%, sensitivity ranged from 58.3 to 84.0%, and specificity ranged from 50.0 to 100%. The combined overall sensitivity and specificity were 85% (95% CI: 0.77-0.90) and 98% (95% CI: 0.89-0.99), respectively. The positive likelihood ratio was 40.2 (95% CI: 7.26-220.74) and the negative likelihood ratio was 0.15 (95% CI: 0.01-0.23).
Conclusion: The analysis reveals that the modified Duke criteria have a high positive likelihood ratio, suggesting a robust correlation between a positive test result and the existence of IE, and a very good overall specificity at 98%. The latter aspect holds significant importance in order to prevent unnecessary overtreatment, given the intricacies involved in managing IE.
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http://dx.doi.org/10.1055/a-2462-8950 | DOI Listing |
Amyotroph Lateral Scler Frontotemporal Degener
December 2024
Department of Neurology, Duke University, Durham, NC, USA.
ALSUntangled reviews alternate and off-label treatments prompted by patient interest. Here, we review psilocybin, a chemical derived from mushrooms and belonging in the category of drugs known as psychedelics. Psilocybin has plausible mechanisms for slowing ALS progression because of its ability to cross the blood brain barrier and effect neurogenesis and inflammation.
View Article and Find Full Text PDFJACC Heart Fail
December 2024
Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. Electronic address:
Background: Previous studies have examined clinical predictors of incident heart failure (HF) in men and women. However, potential mechanisms through which these clinical predictors relate to the onset of HF remain to be established.
Objectives: The authors studied the association between clinical and proteomic risk profiles of new-onset HF in men and women.
Prehosp Emerg Care
December 2024
Department of Emergency Medicine, Duke University School of Medicine, USA, Prehospital & Emergency Research Centre, Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore.
Objectives: International Prehospital Emergency Care (PEC) standards have been primarily developed by and for high resource settings. Most PEC systems in Asia, which are still in the early stages of development, struggle to achieve these standards. There is a need for an evaluation tool which can define achievable basic building blocks for PEC systems in low resource settings to improve quality of PEC.
View Article and Find Full Text PDFACS ES T Water
December 2024
Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.
The incidence of waterborne disease outbreaks in the United States attributed to drinking water-associated pathogens that can cause infections in the immunocompromised DWPIs (e.g., , nontuberculous mycobacteria (NTM), and , among others) appears to be increasing.
View Article and Find Full Text PDFBMC Med Res Methodol
December 2024
Centre for Quantitative Medicine, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Background: Traditional clustering techniques are typically restricted to either continuous or categorical variables. However, most real-world clinical data are mixed type. This study aims to introduce a clustering technique specifically designed for datasets containing both continuous and categorical variables to offer better clustering compatibility, adaptability, and interpretability than other mixed type techniques.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!