Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1378/chest.116.1.6 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study.
J Med Internet Res
January 2025
Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
Background: Sepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection remains challenging due to its insidious symptoms. Current diagnostic methods, including clinical assessments and laboratory tests, frequently lack the speed and specificity needed for timely intervention, particularly in vulnerable populations such as older adults, intensive care unit (ICU) patients, and those with compromised immune systems.
View Article and Find Full Text PDFUrinary lipoarabinomannan for diagnosis of Tuberculosis in an HIV-negative population: A scoping review.
Afr J Prim Health Care Fam Med
December 2024
Department of Internal Medicine, Prince Mshiyeni Memorial Hospital, Durban.
Background: Tuberculosis (TB) remains a leading cause of mortality in low-resource settings and poses a diagnostic challenge in human immunodeficiency virus (HIV)-negative populations because of limitations in traditional diagnostic methods such as sputum smear microscopy (SSM) and sputum Xpert Ultra. There is a lack of effective, non-invasive diagnostic options for TB diagnosis in HIV-negative populations. This scoping review explores the potential of urinary lipoarabinomannan (ULAM) as a point-of-care diagnostic tool for Mycobacterium tuberculosis (MTB) in HIV-negative individuals.
View Article and Find Full Text PDFDevelopment and evaluation of multiplex real-time PCR for rapid identifying major pathogenic mycobacteria from pulmonary and extrapulmonary clinical samples in eastern China.
Heliyon
January 2025
Clinical Laboratory Center, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, 310003, China.
Background: Diseases caused by (MTB) and non-tuberculous mycobacteria (NTM) have similar clinical symptoms but require different treatments. Rapid and accurate identification of MTB and NTM is essential for proper patient management and treatment.
Methods: To develop and assess a multiplex real-time fluorescence PCR (Multiplex PCR) method for rapid identification of MTB, complex (MAC), M.
Role of GLCCI1 in inhibiting PI3K-induced NLRP3 inflammasome activation in asthma.
Chin Med J Pulm Crit Care Med
December 2024
Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China.
Background: Glucocorticoid-induced transcript 1 (GLCCI1) has been reported to be associated with the efficiency of inhaled glucocorticoids in patients with asthma. This study aimed to investigate the role of GLCCI1 in the regulation of nucleotide-binding oligomerization domain (NOD)-like receptor (NLR) family pyrin domain-containing 3 (NLRP3) by the phosphatidylinositol 3-kinase (PI3K) pathway in the pathogenesis of allergic asthma.
Methods: The expression levels of genes encoding GLCCI1, NLRP3 inflammasome components, and PI3K pathway-related indicators were detected in cells isolated from induced sputum from patients with asthma and healthy controls.
Identification and validation of SPP1 as a potential biomarker for COPD through comprehensive bioinformatics analysis.
Respir Med
January 2025
Department of Nursing, Hungkuang University, Taichung City, Taiwan; Department of Orthopedics, Changhua Christian Hospital, Changhua City, Taiwan. Electronic address:
Background: Chronic Obstructive Pulmonary Disease (COPD) is a challenging respiratory condition characterized by persistent airflow limitation and progressive lung function decline. The identification of robust biomarkers is crucial for early diagnosis, monitoring disease progression, and guiding therapeutic strategies.
Methods: In this study, we employed a comprehensive bioinformatics approach utilizing multiple Gene Expression Omnibus (GEO) datasets to identify potential COPD biomarkers.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!