The ability of measurement of serum procalcitonin (PCT) levels to differentiate bacteremic from nonbacteremic infectious episodes in patients hospitalized for community-acquired infections was assessed. Serum samples were obtained from adult inpatients with fever to determine the serum PCT level, C-reactive protein (CRP) level, and erythrocyte sedimentation rate (ESR). Of 165 patients, 22 (13%) had bacteremic episodes and 143 (87%) had nonbacteremic episodes. PCT levels, CRP levels, and ESRs were significantly higher in bacteremic patients than in nonbacteremic patients (P<.001,.007, and.024, respectively). The best cutoff value for PCT was 0.4 ng/mL, which was associated with a negative predictive value of 98.8%. Area under the receiver operating characteristic curve was 0.83 for PCT, which was significantly higher than that for CRP (0.68; P<.0001) and ESR (0.65; P<.05). A serum PCT level of <0.4 ng/mL accurately rules out the diagnosis of bacteremia. The use of PCT assessment could help physicians limit the number of blood cultures to be processed and the number of antibiotic prescriptions.
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http://dx.doi.org/10.1086/341023 | DOI Listing |
Acta Med Philipp
December 2024
Section of Adult Neurology, Chong Hua Hospital, Cebu Institute of Medicine.
Objective: This study aimed to determine the incidence of encephalopathy among hospitalized patients with COVID-19.
Methods: This was a retrospective observational study conducted in a tertiary hospital in Cebu City, Philippines. This study is a complete enumeration of all records of adult patients admitted for COVID-19 detected through polymerase chain reaction from March 1, 2020 to September 30, 2021.
Introduction: The present study aimed to determine the clinical value of serum procalcitonin (PCT) level in predicting postoperative infections after hepatectomy.
Methods: Medical records of 301 consecutive patients who underwent hepatectomy were retrospectively reviewed. We divided the patients into infection-positive and infection-negative groups.
J Hazard Mater
January 2025
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430070, China; Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430070, China. Electronic address:
Artificial intelligence-assisted imaging biosensors have attracted increasing attention due to their flexibility, allowing for the digital image analysis and quantification of biomarkers. While deep learning methods have led to advancements in biomarker identification, the diversity in the density and adherence of targets still poses a serious challenge. In this regard, we propose CellNet, a neural network model specifically designed for detecting dense targets.
View Article and Find Full Text PDFMonaldi Arch Chest Dis
January 2025
Section of Pulmonary and Critical Care, Department of Medicine, Aga Khan University, Karachi.
The identification of etiology is very important when managing patients with community-acquired pneumonia (CAP). In Pakistan, studies regarding the viral etiology in CAP are scarce. The main objective of this study was to evaluate the frequency of viral etiology in CAP patients and analyze the clinical features and their impact on prognosis.
View Article and Find Full Text PDFInt J Crit Illn Inj Sci
December 2024
Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Background: Sepsis, a major global health concern, leads to millions of deaths annually, hence the need for early and reliable prognostic tools to assess patient risk and guide clinical decision making becomes crucial. This cross-sectional study evaluated the prognostic accuracy of integrating blood lactate and serum procalcitonin (PCT) levels with the National Early Warning Score (NEWS) for predicting mortality in sepsis patients. The objective was to assess whether this lactate and procalcitonin integrated with NEWS score (LP NEWS) could serve as a more effective early prognostic tool compared to established severity scores.
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