Objective: Prediction of long-term outcomes in patients with community-acquired pneumonia (CAP) is incompletely understood. We investigated the value of clinical risk scores [pneumonia severity index (PSI) and CURB-65] (Confusion, Urea, Respiratory rate, Blood Pressure, Age >65 years) and blood biomarkers of different physiopathological pathways in predicting long-term survival in a well-characterized cohort of patients with CAP enrolled in an antibiotic stewardship trial.
Design, Setting And Subjects: Patients admitted with CAP to six medical centres in Switzerland were prospectively followed for 6 years. Cox regression models and area under the receiver operating characteristics curve (AUC) were used to investigate associations between initial risk assessment and all-cause mortality.
Main Outcome Measure: All-cause mortality during a 6-year follow-up period.
Results: Six-year mortality in the present cohort (median age 73 years) was 45.1% [95% confidence interval (CI) 41.8-48.3%]. Initial PSI and CURB-65 scores both had excellent long-term prognostic accuracy, with a stepwise increase in mortality per risk class. The hazard ratios (95% CI) of the highest PSI and CURB-65 classes (reference: lowest class) were 38.0 (14.0-103.0) and 7.8 (2.2-14.5), respectively, after 6 years. The addition of inflammatory (pro-adrenomedullin) and cardiac (pro-atrial natriuretic peptide) blood biomarkers measured upon hospital admission further improved the prognostic capabilities of the PSI (AUC increase from 0.79 to 0.83; P < 0.0001) and the CURB-65 score (AUC increase from 0.73 to 0.80; P < 0.001).
Conclusion: Risk assessment using clinical scores allowed accurate long-term prognostication, which was further improved by the addition of two inflammatory (pro-adrenomedullin) and cardiac (pro-atrial natriuretic peptide) blood biomarkers. These data provide a rationale for a more risk-adapted, 'personalized' strategy for long-term management of patients with CAP.
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http://dx.doi.org/10.1111/joim.12341 | DOI Listing |
Orphanet J Rare Dis
January 2025
Department of Gastroenterology, Hepatology and Infectious Diseases, University Hospital, Heinrich- Heine University, Düsseldorf, Germany.
Background: Patients with Gaucher disease (GD) require continual monitoring; however, lack of specific disease biomarkers was a significant challenge in the past. Glucosylsphingosine (lyso-Gb1) has been shown to be a reliable, key, specific, and sensitive biomarker for diagnosis, prognosis, and treatment response in clinical studies of patients with GD. We evaluated the change in lyso-Gb1 concentration over time following enzyme replacement therapy in patients with confirmed GD using real-world data from the Gaucher Outcome Survey disease registry.
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January 2025
Department of Rheumatology and Immunology, Affiliated Hospital of Yangzhou University, Yangzhou University, No. 368 Hanjiang Middle Road, Yangzhou, Jiangsu, 225000, China.
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View Article and Find Full Text PDFBMC Gastroenterol
January 2025
Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
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Clinical Research Development Center, Imam Khomeini and Mohammad Kermanshahi and Farabi Hospitals, Kermanshah University of Medical Sciences, Kermanshah, Iran.
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View Article and Find Full Text PDFNat Commun
January 2025
Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands.
DOPA Decarboxylase (DDC) has been proposed as a cerebrospinal fluid (CSF) biomarker with increased concentrations in Lewy body disorders (LBDs) and highest levels in patients receiving dopaminergic treatment. Here we evaluate plasma DDC, measured by proximity extension assay, and the effect of dopaminergic treatment in three independent LBD (with a focus on dementia with Lewy bodies (DLB) and Parkinson's disease (PD)) cohorts: an autopsy-confirmed cohort (n = 71), a large multicenter, cross-dementia cohort (n = 1498) and a longitudinal cohort with detailed treatment information (n = 66, median follow-up time[IQR] = 4[4, 4] years). Plasma DDC was not altered between different LBDs and other disease groups or controls in absence of treatment.
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