Lower respiratory tract infections remain one of the most common causes of mortality worldwide, which is why early diagnosis is crucial. Traditionally the microbiological diagnosis of these infections has been based on conventional methods including culture on artificial media for isolation of bacteria and fungi and cell cultures for virus and antibody or antigen detection using antigen-antibody reactions. The main drawback of the above mentioned methods is the time needed for an etiological diagnosis of the infection. The techniques based on molecular biology have drawn much attention in recent decades as tools for rapid diagnosis of infections. Some techniques are very expensive, especially those that can detect various microorganisms in the same reaction, therefore the question that arises is whether the cost of such testing is justified by the information obtained and by the clinical impact that its implementation will determine. In this article we make a review of the various techniques of molecular biology applied to the diagnosis of pneumonia and focus primarily on analysing the impact they may have on the management of patients with acute respiratory tract infections.
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http://dx.doi.org/10.1016/S0213-005X(16)30218-X | DOI Listing |
Sci Rep
January 2025
Department of Respiratory and Critical Care Medicine, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China.
China has implemented the "tiered medical services" policy since 2015, while there is a paucity of data evaluating the the current status of chronic obstructive pulmonary disease (COPD) management under the system. Characteristics and treatments from 11,905 COPD patients in 88 hospitals across different tiers in China were included and analyzed. We assessed the statistical significance of differences by one way analysis of variance (ANOVA) for continuous variables and with the chi-squared test for categorical variables.
View Article and Find Full Text PDFAntiviral Res
January 2025
INSERM, Research Center for Respiratory Diseases, UMR 1100, University of Tours, France. Electronic address:
The respiratory tract hosts a diverse microbial community whose composition varies with anatomical location and throughout life. Rothia mucilaginosa, a common commensal of the upper respiratory tract and oral cavity, has recently been recognized for its ability to inhibit bacteria-triggered pro-inflammatory responses. However, its role in modulating the immune response to viral infections such as influenza A virus (IAV) pneumonia, remains unknown.
View Article and Find Full Text PDFEnviron Res
January 2025
Joint Mass Spectrometry Center (JMSC) at Comprehensive Molecular Analytics (CMA), Helmholtz Zentrum München, Munich, 85764, Germany; Joint Mass Spectrometry Center (JMSC) at Analytical Chemistry, Institute of Chemistry, University of Rostock, Rostock, 18051, Germany.
Air pollution significantly contributes to the global burden of respiratory and cardiovascular diseases. While single source/compound studies dominate current research, long-term, multi-pollutant studies are crucial to understanding the health impacts of environmental aerosols. Our study aimed to use the first air-liquid interface (ALI) aerosol exposure system adapted for long-term in vitro exposures for ambient air in vitro exposure.
View Article and Find Full Text PDFWorld Neurosurg
January 2025
Department of Neurology, The First People's Hospital of Jingzhou, The First Affiliated Hospital of Yangtze University, Jingzhou 434000, China. Electronic address:
Objective: This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients with intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning algorithms.
Methods: Employing a retrospective cohort study design, this study collected patients with ruptured IA who received endovascular treatment at Jingzhou First People's Hospital during the inclusion period from September 2022 to December 2023. The entire dataset was randomly split into training and testing dataset with a 7:3 ratio.
Med Phys
January 2025
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Respiratory motion during radiotherapy (RT) may reduce the therapeutic effect and increase the dose received by organs at risk. This can be addressed by real-time tracking, where respiration motion prediction is currently required to compensate for system latency in RT systems. Notably, for the prediction of future images in image-guided adaptive RT systems, the use of deep learning has been considered.
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