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Microbiology Spectrum Dec 2023This study first reported the effector kinetics of the new non-fluorinated quinolone, nemonoxacin, against macrolide-resistant (MRMP) and macrolide susceptible (MSMP)...
This study first reported the effector kinetics of the new non-fluorinated quinolone, nemonoxacin, against macrolide-resistant (MRMP) and macrolide susceptible (MSMP) strains along with other antimicrobial agents. The time-kill assays and pharmacodynamic analysis showed that nemonoxacin has significant mycoplasmacidal activity against MRMP and MSMP. This study paves the road to establish appropriate dosing protocols of a new antimicrobial drug for children infected with .
Topics: Child; Humans; Mycoplasma pneumoniae; Pneumonia, Mycoplasma; Anti-Bacterial Agents; Quinolones; Macrolides; Drug Resistance, Bacterial; Microbial Sensitivity Tests
PubMed: 37975686
DOI: 10.1128/spectrum.02431-23 -
Infection and Drug Resistance 2024To explore the clinical characteristics, treatment, and long-term prognosis of mycoplasma pneumoniae pneumonia (MPP) combined with pulmonary embolism (PE) in children.
PURPOSE
To explore the clinical characteristics, treatment, and long-term prognosis of mycoplasma pneumoniae pneumonia (MPP) combined with pulmonary embolism (PE) in children.
PATIENTS AND METHODS
The medical records of 16 children who were diagnosed with MPP associated with PE between January 2016 and January 2023 at Children's Hospital, Zhejiang University School of Medicine were retrospectively reviewed.
RESULTS
The average age patients were 8.24 ± 1.99 years. All cases were diagnosed with refractory mycoplasma pneumoniae pneumonia (RMPP) and presented complications in the form of necrotizing pneumonia (NP). The main symptoms observed were cough and fever (n = 16, 100%), chest pain (n = 8, 50%), dyspnea (n = 8, 50%), and hemoptysis (n = 4, 25%). In these cases, 12 patients had involvement of the pulmonary artery, 3 patients experienced issues with the pulmonary vein, and 1 patient had simultaneous involvement of both the pulmonary artery and pulmonary vein. Among the 12 pulmonary artery embolism cases, 6 involved the right pulmonary artery, 4 involved the left pulmonary artery, and 2 involved both the right and left pulmonary arteries. The mean D-dimer level was 8.50 ± 4.76 mg/L. All patients received anticoagulant therapy, and after treatment, there was a significant improvement in their symptoms and lung lesions.
CONCLUSION
Children with RMPP, chest pain, hemoptysis, and elevated D-dimer levels should be closely monitored for the potential development of PE. The co-occurrence of MPP and PE often involves the presence of NP. In cases of confirmed PE, anticoagulation therapy may be a suitable consideration. PE and NP resulting from MPP generally had a favorable overall prognosis.
PubMed: 38779350
DOI: 10.2147/IDR.S459626 -
Clinical and Experimental Pediatrics Feb 2024Pneumonia is a common pediatric infectious disease that is familiar to pediatricians and a major cause of hospitalization worldwide. Recent well-designed epidemiologic...
Pneumonia is a common pediatric infectious disease that is familiar to pediatricians and a major cause of hospitalization worldwide. Recent well-designed epidemiologic studies in developed countries indicated that respiratory viruses are detected in 30%-70%, atypical bacteria in 7%-17%, and pyogenic bacteria in 2%-8% of children hospitalized with community-acquired pneumonia (CAP). The etiological distribution of CAP varies widely by child age and the epidemiological season of the respiratory pathogen. Moreover, diagnostic tests, particularly for the detection of Streptococcus pneumoniae and Mycoplasma pneumoniae, the 2 major bacterial pathogens involved in pediatric CAP, have several limitations. Therefore, management and empirical antimicrobial therapy for children with CAP should be applied in a stepwise manner based on recent epidemiological, etiological, and microbiological evidence.
PubMed: 37321577
DOI: 10.3345/cep.2022.01452 -
Respiratory Research Jan 2024This study aimed to investigate the interactions among three core elements of respiratory infection-pathogen, lung microbiome, and host response-and their avocation with...
BACKGROUND
This study aimed to investigate the interactions among three core elements of respiratory infection-pathogen, lung microbiome, and host response-and their avocation with the severity and outcomes of Mycoplasma pneumoniae pneumonia (MPP) in children.
METHODS
We prospectively collected bronchoalveolar lavage fluid from a cohort of 41 children with MPP, including general MPP (GMPP) and complicated MPP (CMPP), followed by microbiome and transcriptomic analyses to characterize the association among pathogen, lung microbiome, and host response and correlate it with the clinical features and outcomes.
RESULTS
The lung microbiome of patients with CMPP had an increased relative abundance of Mycoplasma pneumoniae (MP) and reduced alpha diversity, with 76 differentially expressed species. Host gene analysis revealed a key module associated with neutrophil function and several inflammatory response pathways. Patients with a high relative abundance of MP, manifested by a specific lung microbiome and host response type, were more prone to CMPP and had a long imaging recovery time.
CONCLUSION
Patients with CMPP have a more disrupted lung microbiome than those with GMPP. MP, lung microbiome, and host response interacts with each other and are closely related to disease severity and outcomes in children with MPP.
Topics: Child; Humans; Mycoplasma pneumoniae; Transcriptome; Pneumonia, Mycoplasma; Lung; Nitrobenzenes; Organophosphorus Compounds
PubMed: 38238712
DOI: 10.1186/s12931-024-02687-4 -
Euro Surveillance : Bulletin Europeen... Jan 2024We report a surge of patients, especially children and adolescents, with respiratory disease caused by in Denmark since October 2023. While the surge has reached an...
We report a surge of patients, especially children and adolescents, with respiratory disease caused by in Denmark since October 2023. While the surge has reached an epidemic level, no impact on hospital capacity has been observed; only 14% (446/3,195) of cases, primarily adults, required hospitalisation. Macrolide resistance was detected in less than 2% of samples tested. Timely monitoring of hospitalisations linked to infections has been established to inform the healthcare system, decisionmakers and the public.
Topics: Child; Adult; Adolescent; Humans; Mycoplasma pneumoniae; Pneumonia, Mycoplasma; Anti-Bacterial Agents; Macrolides; Drug Resistance, Bacterial; Denmark
PubMed: 38214084
DOI: 10.2807/1560-7917.ES.2024.29.2.2300707 -
Infection and Drug Resistance 2023We report a case of a 34-year-old lady with multiple joint pain. Autoimmune diseases were considered first with a positive result of anti-Ro antibody and her right knee...
We report a case of a 34-year-old lady with multiple joint pain. Autoimmune diseases were considered first with a positive result of anti-Ro antibody and her right knee joint cavity effusion. Later, bilateral interstitial changes in her lungs and mediastinal lymphadenopathy were found after chest CT scanning. Empirical quinolone therapy was given although pathological examinations of blood, sputum and bronchoalveolar lavage fluid (BALF) did not find anything. Finally, was identified by target next-generation sequencing (tNGS) detection. This case highlighted the timely use of tNGS, a new tool with fast speed, high accuracy and effective cost, could help to identify atypical infection and start an early therapy.
PubMed: 37435234
DOI: 10.2147/IDR.S417495 -
The American Journal of Psychiatry Dec 2023
Topics: Humans; Pneumonia, Mycoplasma; Anti-N-Methyl-D-Aspartate Receptor Encephalitis; Psychiatry; Referral and Consultation
PubMed: 38037403
DOI: 10.1176/appi.ajp.20230099 -
Journal of Microbiology, Immunology,... Aug 2023Acute respiratory infections (ARIs) are common in children. We developed machine learning models to predict pediatric ARI pathogens at admission.
Clinical characteristics of hospitalized children with community-acquired pneumonia and respiratory infections: Using machine learning approaches to support pathogen prediction at admission.
BACKGROUND
Acute respiratory infections (ARIs) are common in children. We developed machine learning models to predict pediatric ARI pathogens at admission.
METHODS
We included hospitalized children with respiratory infections between 2010 and 2018. Clinical features were collected within 24 h of admission to construct models. The outcome of interest was the prediction of 6 common respiratory pathogens, including adenovirus, influenza virus types A and B, parainfluenza virus (PIV), respiratory syncytial virus (RSV), and Mycoplasma pneumoniae (MP). Model performance was estimated using area under the receiver operating characteristic curve (AUROC). Feature importance was measured using Shapley Additive exPlanation (SHAP) values.
RESULTS
A total of 12,694 admissions were included. Models trained with 9 features (age, event pattern, fever, C-reactive protein, white blood cell count, platelet count, lymphocyte ratio, peak temperature, peak heart rate) achieved the best performance (AUROC: MP 0.87, 95% CI 0.83-0.90; RSV 0.84, 95% CI 0.82-0.86; adenovirus 0.81, 95% CI 0.77-0.84; influenza A 0.77, 95% CI 0.73-0.80; influenza B 0.70, 95% CI 0.65-0.75; PIV 0.73, 95% CI 0.69-0.77). Age was the most important feature to predict MP, RSV and PIV infections. Event patterns were useful for influenza virus prediction, and C-reactive protein had the highest SHAP value for adenovirus infections.
CONCLUSION
We demonstrate how artificial intelligence can assist clinicians identify potential pathogens associated with pediatric ARIs upon admission. Our models provide explainable results that could help optimize the use of diagnostic testing. Integrating our models into clinical workflows may lead to improved patient outcomes and reduce unnecessary medical costs.
Topics: Child; Humans; Infant; Influenza, Human; Child, Hospitalized; Artificial Intelligence; C-Reactive Protein; Respiratory Tract Infections; Respiratory Syncytial Virus, Human; Pneumonia; Mycoplasma pneumoniae; Adenoviridae; Adenoviridae Infections; Parainfluenza Virus 1, Human; Machine Learning
PubMed: 37246060
DOI: 10.1016/j.jmii.2023.04.011 -
Epidemiology and Infection Feb 2024
Topics: Humans; Mycoplasma pneumoniae; Pneumonia, Mycoplasma; Disease Outbreaks
PubMed: 38380476
DOI: 10.1017/S0950268824000293 -
World Journal of Pediatrics : WJP Jan 2024
Topics: Child; Humans; Mycoplasma pneumoniae; China; Pneumonia, Mycoplasma
PubMed: 38231466
DOI: 10.1007/s12519-023-00793-9