Purpose: To study the role of the neutrophil:lymphocyte ratio (NLR) and monocyte:lymphocyte ratio (MLR) in discriminating between different patient groups hospitalized for fever due to infection and those without infection.
Methods: For 299 patients admitted to hospital for fever with unknown cause, a number of characteristics including NLR and MLR were recorded. These characteristics were used in a multiple multinomial regression analysis to estimate the probability of a final diagnostic group of bacterial, viral, clinically confirmed, or no infection.
Results: Both NLR and MLR significantly predicted final diagnostic group. Being highly correlated, however, both variables could not be retained in the same model. Both variables also interacted significantly with duration of fever. Generally, higher values of NLR and MLR indicated larger probabilities for bacterial infection and low probabilities for viral infection. Patients with septicemia had significantly higher NLR compared to patients with other bacterial infections with fever for less than one week. White blood cell counts, neutrophil counts, and C-reactive proteins did not differ significantly between septicemia and the other bacterial infection groups.
Conclusions: NLR is a more useful diagnostic tool to identify patients with septicemia than other more commonly used diagnostic blood tests. NLR and MLR may be useful in the diagnosis of bacterial infection among patients hospitalized for fever.
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http://dx.doi.org/10.1007/s15010-016-0972-1 | DOI Listing |
Clin Chem
January 2025
Department of Laboratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background: The accurate and prompt diagnosis of infections is essential for improving patient outcomes and preventing bacterial drug resistance. Host gene expression profiling as an approach to infection diagnosis holds great potential in assisting early and accurate diagnosis of infection.
Methods: To improve the precision of infection diagnosis, we developed InfectDiagno, a rank-based ensemble machine learning algorithm for infection diagnosis via host gene expression patterns.
Gut Microbes
December 2025
Institute of Microbiology, Department of Biology, ETH Zurich, Zurich, Switzerland.
, non-typhoidal spp., and enteropathogenic/enterohemorrhagic (EPEC/EHEC) are leading causes of food-borne illness worldwide. has been used to model EPEC and EHEC infection in mice.
View Article and Find Full Text PDFFront Public Health
January 2025
Office of Education and Training (Graduate School), Chinese Center for Disease Control and Prevention, Beijing, China.
Background: Tuberculosis (TB) remains a major public health problem in China and globally, particularly among older adults. This study aimed to examine secular trends in TB mortality among older adults in China and the net effects of age, period, and cohort.
Methods: Data from the National Disease Surveillance Points (DSPs) system were analyzed using Joinpoint regression to determine annual changes in TB mortality among individuals aged 60 years and older from 2004 to 2021.
Front Cell Infect Microbiol
January 2025
Center for Infectious Diseases Research (CIDR) and WHO Collaborating Center for Reference and Research on Bacterial Pathogens, American University of Beirut, Beirut, Lebanon.
Introduction: Multidrug resistant Gram-negative bacterial infections are considered a major public health threat. Immunocompromised pediatric patients are at a great risk of severe or overwhelming infections. The aim of this study was to describe the frequency of infections with multidrug resistant (MDR) Gram-negative bacteria (GNB) in immunocompromised pediatric patients and to determine the risk factors.
View Article and Find Full Text PDFFront Vet Sci
January 2025
School of Veterinary Medicine, Veterinary Surgical and Radiological Sciences, University of California, Davis, Davis, CA, United States.
Oral lesions are common in dogs and cats, and determining the underlying etiology of these lesions can be challenging. A wide range of systemic ailments may lead to lesions in the oral cavity, including immune-mediated diseases, adverse drug reactions, viral and bacterial infections, and metabolic and autoimmune diseases. A complete history and thorough physical examination (including a fundic examination) should be obtained in affected patients.
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