Background: Lower respiratory tract (LRT) sampling through bronchoscopy has been done sparingly in COVID-19 acute respiratory distress syndrome (ARDS) due to the high aerosol risk for the health-care workers (HCWs). Valuable information can be gained by a detailed evaluation of bronchoscopic LRT samples.
Methods: LRT samples were obtained by bedside bronchoscopy severe COVID-19 ARDS patients on mechanical ventilation. Microbiological, cellular, and cytological studies including LRT COVID-19 reverse transcription-polymerase chain reaction were analyzed.
Results: A total of 100 samples were collected from 63 patients, 53 were males (84%). Forty-three patients (68%) had at least 1 comorbidity. 55% of cases had a secondary bacterial infection, commonly with multidrug-resistant organisms (94.5%). The most common organisms were Klebsiella pneumoniae and Acinetobacter baumannii in 56.3% and 14.5% of cases, respectively. Fungal superinfection was observed in 9 patients (14.3%). Bronchoscopy helped confirm COVID-19 diagnosis in 1 patient and helped rule out COVID-19 in 3 patients. The median bronchoalveolar lavage fluid (BALF) white blood cell (WBC) count was 953 (inter quartile range; 400-2717), with mean neutrophil count 85.2% (±13.9) and mean lymphocyte count 14.8% (±13.9). Repeat sampling done in some patients showed a progressive increase in the total WBC count in BALF, an increase in neutrophil percentage, and a higher chance of isolating an organism on the culture. Rate of superinfection increased with a longer duration of illness. Bronchoscopic LRT sampling contributed significantly to modifying antibiotic coverage and discontinuing steroids in 37% of cases.
Conclusions: Our study provides a detailed analysis of bronchoscopic LRT sampling in critically ill COVID-19 patients, augmenting disease understanding and contributing to clinical management.
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http://dx.doi.org/10.4103/lungindia.lungindia_532_21 | DOI Listing |
Sensors (Basel)
January 2025
School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China.
Target detection is a core function of integrated sensing and communication (ISAC) systems. The traditional likelihood ratio test (LRT) target detection algorithm performs inadequately under low signal-to-noise ratio (SNR) conditions, and the performance of mainstream orthogonal frequency division multiplexing (OFDM) waveforms declines sharply in high-speed scenarios. To address these issues, an information-theory-based orthogonal time frequency space (OTFS)-ISAC target detection processing framework is proposed.
View Article and Find Full Text PDFVet Res
January 2025
Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, USA.
M. ovipneumoniae is a respiratory pathogen that can cause mild to moderate pneumonia and reduced productivity in domestic lambs. However, studies on both natural and experimental M.
View Article and Find Full Text PDFTransl Lung Cancer Res
November 2024
Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Background: The gut microbiome is associated with the occurrence and severity of immune-related adverse events (irAEs) in cancer patients undergoing immunotherapy. However, the relationship between the lower respiratory tract (LRT) microbiome and checkpoint inhibitor pneumonitis (CIP) in lung cancer patients who underwent immunotherapy is unclear. The aim of the present study was to investigate the associations between the LRT microbiome and CIP in lung cancer patients receiving immunotherapy.
View Article and Find Full Text PDFFront Immunol
November 2024
Immunology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Objective: To ascertain the changes of serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) values in relapsing-remitting multiple sclerosis (RRMS) patients treated with ocrelizumab and their association with treatment response.
Methods: Multicenter prospective study including 115 RRMS patients initiating ocrelizumab treatment between February 2020 and March 2022 followed during a year. Serum samples were collected at baseline and every 3 months to measure sNfL and sGFAP levels using single-molecule array (SIMOA) technology.
IEEE Trans Pattern Anal Mach Intell
November 2024
Depicting novel classes with language descriptions by observing few-shot samples is inherent in human-learning systems. This lifelong learning capability helps to distinguish new knowledge from old ones through the increase of open-world learning, namely Few-Shot Class-Incremental Learning (FSCIL). Existing works to solve this problem mainly rely on the careful tuning of visual encoders, which shows an evident trade-off between the base knowledge and incremental ones.
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