The Brief Case: Ventilator-Associated Corynebacterium accolens Pneumonia in a Patient with Respiratory Failure Due to COVID-19

The effect of antibiotic prescription in non-critically ill hospitalized patients with COVID-19: A Japanese inpatient database study

BACKGROUND

Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic. Bacterial coinfections with COVID-19 occur in 3.5% of COVID-19 cases, with a higher incidence in severe cases. Although antibiotics have been prescribed to treat non-critically ill patients with COVID-19, their effect on non-critically ill hospitalized patients with COVID-19 remains uncertain.

METHODS

We analyzed data from non-critically ill hospitalized patients with COVID-19 who were older than 18 years between January 1, 2020, and May 31, 2023. We performed propensity score matching analysis, evaluating in-hospital mortality with or without antibiotic prescription within 2 days of admission. Sensitivity analyses using inverse probability weighting and generalized estimating equation were also performed.

RESULTS

Eligible patients (n =  144,110) were divided into antibiotic prescription (n =  3,873) and control (n =  140,237) groups. One-to-one propensity score matching identified 3,861 pairs of patients who received antibiotic prescriptions within 2 days of admission. Following this, antibiotic prescription was associated with a decreased 28-day mortality rate (2.3% vs. 3.6%) and in-hospital mortality rate (4.0% vs. 5.0%) compared with the control group. Conversely, antibiotics increased Clostridioides difficile infection (CDI) compared with the control group (0.6% vs. 0.1%). No statistical differences were observed between both groups regarding acute kidney injury (0.4% vs. 0.2%). Sensitivity analysis showed similar outcomes.

CONCLUSIONS

This multicenter observational study in Japan showed that antibiotic prescriptions were associated with lower 28-day and in-hospital mortalities and an increased CDI risk in non-critically ill hospitalized patients with COVID-19.

A new stage for predicting the prognosis of granulomatous lobular mastitis

INTRODUCTION

The prognosis of granulomatous lobular mastitis (GLM) had been poor, primarily due to the lack of a unified disease assessment standard.

OBJECTIVE

The purpose of this cohort study was to establish a staging system for GLM to more accurately evaluate the prognosis of patients.

METHODS

This study retrospectively collected data from 264 GLM patients who visited our hospital between January 2017 and December 2023. Through logistic regression analysis, factors associated with prognosis were identified, which served as the basis for creating a new staging system.

RESULTS

Univariate and multivariate logistic regression analysis revealed that hyperlipidemia (HR: 2.031; 95% CI: 1.100-3.750) and microabscesses (HR: 2.087; 95% CI = 1.138-3.827) were significant independent risk factors affecting the prognosis of GLM patients. Based on the results of logistic analysis, three different stages were ultimately established, and it was found that stage C had the highest AUC value (AUC: 0.642), followed by stage B (AUC: 0.628), with stage A (AUC: 0.614) having the lowest. The Delong test revealed no significant difference in AUC values between stage A and stage B (P =  0.255), nor between stage B and stage C (P =  0.263). However, the AUC value of the stage C was found to be higher than that of stage A (P <  0.001). Given that stage C has the highest AUC value, this study selected stage C as the final stage for evaluating the prognosis of GLM patients and named it the 1st edition of GLM stage.

CONCLUSIONS

This study constructed a rigorous and widely applicable GLM staging system (the 1st edition of GLM stage). The system demonstrated good predictive outcomes and provided strong support for clinical decision-making.

Epidemiology, Clinical Significance, and Diagnosis of Respiratory Viruses and Their Co-Infections in the Post-COVID Era

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel human coronavirus, emerged in late 2019 and rapidly evolved into a pandemic around the world. The coronavirus disease (COVID-19) pandemic has dramatically changed the epidemiology and seasonality of other traditional respiratory viruses, e.g., influenza, respiratory syncytial virus, enterovirus, etc. These traditional respiratory viruses have transmission mode and clinical symptoms similar to SARS-CoV-2 but may differ in clinical outcomes and management. Co-infection between SARS-CoV-2 and one or more traditional respiratory viruses have been reported in the literature but have shown mixed evidence in clinical outcomes. With SARS-CoV-2 evolving into mild Omicron variants, it is believed that SARS-CoV-2 co-circulates with other respiratory viruses, which in turn affect the epidemiology and clinical course of respiratory viral infections. In response to these changes, multiplex molecular tests for SARS-CoV-2 and one or more traditional respiratory viruses are attracting more attention in the field and have been developed into a variety of testing modalities. In this review, we describe the seasonality (i.e., in the Northern Hemisphere), epidemiology, and clinical significance of traditional respiratory viruses and their co-infection with SARS-CoV-2 in the post-COVID era. Furthermore, we review commonly used multiplex molecular tests and their applications for the detection of respiratory viruses and their co-infections. Altogether, this review not only sheds light on the epidemiology and clinical significance of respiratory viral infections and co-infections in the post-COVID era, and but also provides insights into the laboratory-based diagnoses of respiratory viral infections using multiplex molecular testing.

Acne vulgaris: advances in pathogenesis and prevention strategies

PURPOSE

The aim is to encourage the creation of innovative prevention and treatment measures and to help readers in selecting the most effective ones.

BACKGROUND

Acne vulgaris is the most prevalent skin condition of adolescents, affecting approximately 9% of the global population. Patients become more prone to mental and psychological problems because of it. Several strategies have been established to effectively improve acne vulgaris. However, the complexity of its pathogenesis and the limitations of the existing strategies to control it in terms of bacterial resistance, patient compliance, and safety have made the development of new control strategies a hot topic in skin health research.

RESULTS

This review systematically summarizes the pathogenesis and prevention strategies of acne vulgaris according to the most recent studies. The limitations of the current research on acne vulgaris and future research directions are presented based on the analysis of the strengths and weaknesses of the existing prevention and treatment strategies.

Pulmonary embolism in children with mycoplasma pneumonia: can it be predicted?

PURPOSE

To investigate the clinical characteristics of Mycoplasma pneumoniae (MP) pneumonia (MPP) combined with pulmonary embolism (PE) in children.

METHODS

291 hospitalized pediatric cases with MPP were enrolled from January 2018 to May 2024 and divided into the PE group (141 cases) and non-PE control group (150 cases). Clinical data of both groups were analyzed and compared.

RESULTS

C-reactive protein (CRP), D-dimer, lactate dehydrogenase (LDH), and interleukin 6 (IL-6) were significantly higher in the PE group than in the non-PE control group. There were 85 males and 56 females in the PE group. The PE group has male-to-female ratio of 3: 2,and hemoptysis was observed in 11 children (7.08%), chest pain in 29 children (20.60%), and pulmonary necrosis in 89 children (63.12%). In the receiver operator curve(ROC), the areas under the curve(AUC) for D-dimer, CRP, IL-6, and LDH were 0.964, 0.690, 0.632, and 0.765, respectively. In the ROC curve, the cutoff values for D-dimer, CRP, IL-6, and LDH were 0.8 µg/ml, 24.2 mg/L, 37.8 pg/ml, and 461 U/L, respectively.

CONCLUSION

A proportion of children with MP infection combined with PE show atypical clinical symptoms. Children with MPP and elevated D-dimer levels, IL-6, CRP, erythrocyte sedimentation rate (ESR), and LDH may be prone to develop PE.

Case report: diagnosis of neurobrucellosis in a non-endemic area child using metagenomic next-generation sequencing

Brucellosis with neurological symptoms at onset is rare in children and is frequently misdiagnosed or overlooked due to nonspecific clinical presentations, particularly in non-endemic areas. We report a case of neurobrucellosis in a child from a non-pastoral area, diagnosed via metagenomic next-generation sequencing (mNGS). The patient presented with headache and altered consciousness, accompanied by fever, projectile vomiting, seizures, and urinary incontinence. Physical examination indicated possible nuchal rigidity. Cerebrospinal fluid (CSF) analysis showed colorless and clear fluid, with a white blood cell count of 259 × 10⁶/L, 4.6% polymorphonuclear cells, positive protein qualitative test, protein level of 0.78 g/L, and glucose level of 1.66 mmol/L. Initial diagnosis suggested central nervous system infection, and empirical treatment led to improvement in consciousness. However, after a few days of stable body temperature, the patient experienced recurrent fever. Ultimately, mNGS of CSF identified Brucella melitensis, confirming neurobrucellosis. Following treatment with ceftriaxone, doxycycline, and rifampin, the patient's clinical symptoms improved significantly, and follow-up CSF analysis showed normalization of cell counts. This case highlights the early diagnostic utility of mNGS in CSF for neurobrucellosis and its role in differential diagnosis.

Metagenomic next-generation sequencing for lung cancer low respiratory tract infections diagnosis and characterizing microbiome features

Background

The capability of mNGS in diagnosing suspected LRTIs and characterizing the respiratory microbiome in lung cancer patients requires further evaluation.

Methods

This study evaluated mNGS diagnostic performance and utilized background microbial sequences to characterize LRT microbiome in these patients. GSVA was used to analyze the potential functions of identified genera.

Results

Bacteria were the most common pathogens (n=74) in LRTIs of lung cancer patients, and polymicrobial infections predominated compared to monomicrobial infections (p<0.001). In diagnosing LRTIs in lung cancer patients, the pathogen detection rate of mNGS (83.3%, 70/84) was significantly higher than that of sputum culture (34.5%, 29/84) (p<0.001). This result was consistent with that of non-lung cancer patients (p<0.001). Furthermore, in the specific detection of bacteria (95.7% vs. 22.6%) and fungi (96.0% vs. 22.2%), the detection rate of mNGS was also significantly higher than that of CMTs mainly based on culture (p<0.001, p<0.001). However, in the detection of CMV/EBV viruses, there was no significant difference between the detection rate of mNGS and that of viral DNA quantification (p = 1.000 and 0.152). mNGS analysis revealed Prevotella, Streptococcus, Veillonella, Rothia, and Capnocytophaga as the most prevalent genera in the LRT of lung cancer patients. GSVA revealed significant correlations between these genera and tumor metabolic pathways as well as various signaling pathways including PI3K, Hippo, and p53.

Conclusion

mNGS showed a higher pathogen detection rate than culture-based CMTs in lung cancer patients with LRTIs, and also characterizing LRT microbiome composition and revealing potential microbial functions linked to lung carcinogenesis.

An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia

BACKGROUND

Ventilator-associated pneumonia (VAP) is a common nosocomial infection in ICU, significantly associated with poor outcomes. However, there is currently a lack of reliable and interpretable tools for assessing the risk of in-hospital mortality in VAP patients. This study aims to develop an interpretable machine learning (ML) prediction model to enhance the assessment of in-hospital mortality risk in VAP patients.

METHODS

This study extracted VAP patient data from versions 2.2 and 3.1 of the MIMIC-IV database, using version 2.2 for model training and validation, and version 3.1 for external testing. Feature selection was conducted using the Boruta algorithm, and 14 ML models were constructed. The optimal model was identified based on the area under the receiver operating characteristic curve (AUROC), accuracy, sensitivity, and specificity across both validation and test cohorts. SHapley Additive exPlanations (SHAP) analysis was applied for global and local interpretability.

RESULTS

A total of 1,894 VAP patients were included, with 12 features ultimately selected for model construction: 24-hour urine output, blood urea nitrogen, age, diastolic blood pressure, platelet count, anion gap, body temperature, bicarbonate level, sodium level, body mass index, and whether combined with congestive heart failure and cerebrovascular disease. The random forest (RF) model showed the best performance, achieving an AUC of 0.780 in internal validation and 0.724 in external testing, outperforming other ML models and common clinical scoring systems.

CONCLUSION

The RF model demonstrated robust and reliable performance in predicting in-hospital mortality risk for VAP patients. The developed online tool can assist clinicians in efficiently assessing VAP in-hospital mortality risk, supporting clinical decision-making.

Performance of a hybrid capture-based target enrichment next-generation sequencing for the identification of respiratory pathogens and resistance-associated genes in patients with severe pneumonia

Severe pneumonia remains the leading infectious cause of death worldwide. The time-consuming nature and suboptimal sensitivity of sputum cultures hamper prompt pathogen detection for tailored treatments. Advanced techniques such as polymerase chain reaction (PCR) and next-generation sequencing (NGS) offer rapid genetic pathogen detection and identification of antimicrobial resistance (AMR) genes. However, the performance of hybrid capture-based target enrichment NGS, e.g., Respiratory Pathogen ID/AMR Enrichment Panel (RPIP), for pathogen detection in patients with severe pneumonia remains uncertain. A prospective study involving adults with severe pneumonia was conducted. Respiratory samples from the lower respiratory tract were collected via bronchoalveolar lavage, bronchial washing, or endotracheal tube suction. The performance of RPIP in pathogen and AMR-associated gene detection was compared to that of conventional culture methods and the multiplex PCR-based FilmArray Pneumonia Panel (FilmArray-PN). A total of 83 subjects were enrolled. The most prevalent pathogens detected by RPIP were Rothia mucilaginosa, Stenotrophomonas maltophilia, Pseudomonas aeruginosa; herpes simplex virus-1, cytomegalovirus, and Epstein-Barr virus, and Pneumocystis jirovecii. Overall, the positive and negative agreement rates for bacterial detection were 63.6% and 97.5% between RPIP and culture methods, respectively, and 55.8% and 99.4% between FilmArray-PN and culture methods, respectively. Compared to FilmArray-PN, RPIP exhibited significantly better detection rates for bacteria (P = 0.029), viruses (P < 0.001), and fungi (P < 0.001) and identified additional blaOXA, blaCMY as extended-spectrum β-lactamase genes and blaOXA, blaSHV as carbapenemase genes. In conclusion, RPIP can sensitively profile respiratory pathogens and is a promising tool for detecting multiple microorganisms and AMR-associated genes in patients with severe pneumonia.IMPORTANCESensitive pathogen detection is pivotal for timely treatment by tailoring adequate antimicrobial agents. Unlike conventional phenotypic approach, novel measures using molecular interrogation appear promising. This study aimed to elucidate the efficacy of a hybrid capture-based target enrichment next-generation sequencing technique (Respiratory Pathogen ID/AMR Enrichment Panel, RPIP) as exemplified in a cohort with severe pneumonia. Pathogen landscape in the population was illustrated by these three methodologies. As compared with multiplex polymerase chain reaction-based FilmArray Pneumonia Panel and conventional culture, RPIP demonstrated significantly improved sensitivity in identifying bacteria, viruses, and fungi. The RPIP also exhibited better performance in identifying different pathogens in patients co-infected with multiple microorganisms. Additionally, the genotypes contributing to antimicrobial resistance were determined by RPIP. The study facilitated the implementation of molecular diagnosis by presenting real-world data, whereas future studies are mandated to generalize such an approach toward different clinical settings.

Analysis of the potentially pathogenic bacteria of lower respiratory tract infections in children per-, during and post-COVID-19: a retrospective study

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has caused significant changes in lower respiratory tract infections (LRTIs). This study aimed to characterize potentially pathogenic bacterial infections in paediatric patients hospitalized for LRTIs per-, during and post-COVID-19.

METHODS

Sputum culture data from 85,659 children with LRTIs at the Children's Hospital of Soochow University from January 2016 to May 2024 were analyzed for eight bacteria: Streptococcus pneumoniae, Haemophilus influenzae, Staphylococcus aureus, Moraxella catarrhalis, Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Acinetobacter baumannii. The data during the pandemic (2020-2022, during COVID-19) and after the pandemic (January 2023-May 2024, post-COVID-19) were compared with those before the pandemic (2016-2019).

RESULTS

Overall, 85,659 children with LRTIs were enrolled. Of these, 42,567 cases (49.7%) were diagnosed in the pre-COVID-19 period, 22,531 cases (26.3%) during the COVID-19 period and 20,561 cases (24.0%) in the post-COVID-19 period. The overall positive rate for pathogenic bacteria was 37.1%, with the top three being S. pneumoniae (14.5%), H. influenzae (12.1%) and S. aureus (6.5%). Compared to the average pre-COVID-19 levels, the bacterial pathogen positive rate decreased by 3.5% during the COVID-19 period (OR: 0.94, 95% CI: 0.91-0.98) and by 23.4% in the post-COVID-19 period (OR: 0.66, 95% CI: 0.64-0.69). During the COVID-19 period, the positive rates for S. pneumoniae, H. influenzae, E. coli, K. pneumoniae and mixed infections decreased by 11.7%, 35.3%, 22.2%, 33.3% and 45.7% respectively, while the positive rates for S. aureus, M. catarrhalis and P. aeruginosa increased by 21.7%, 44.7% and 25% respectively. In the post-COVID-19 period, the positive rates for S. pneumoniae, H. influenzae, E. coli, P. aeruginosa, K. pneumoniae, A. baumannii and mixed infections decreased by 50.0%, 7.4%, 22.2%, 50.0%, 44.4%, 60.0% and 32.6% respectively, while there was no statistical change in the positive rates for S. aureus and M. catarrhalis. Bacteria case detection decreases in 2020 (67.0%), 2021 (60.5%), 2022 (76.3%) and 2023 (72.7%) compared to predicted cases.

CONCLUSIONS

Measures to restrict COVID-19 as a driver of declining bacterial positive rates. Respiratory bacteria in children are change across COVID-19 phases, age groups and seasons. After COVID-19, clinicians should continue to increase surveillance for pathogenic bacteria, especially drug-resistant flora.

Changes in the epidemiology of neonatal bacteremia during the COVID-19 pandemic in Wuhan, China

OBJECTIVE

To investigate the incidence, pathogen distribution, and antibiotic susceptibility of early- and late-onset neonatal bacteremia, and to analyze pathogen trends before and during the COVID-19 pandemic.

METHODS

Between January 2016 to December 2022, we collected 879 blood and cerebrospinal fluid specimens from newborns with bacteremia. Bacterial identification used biochemical methods and MALDI-TOF, and antibiotic susceptibility was tested with the VITEK 2 system. Incidence per 1,000 admissions was calculated with Wilson's 95% confidence intervals, and categorical variables were compared using χ²-test or Fisher's exact test.

RESULTS

Early-onset bacteremia incidence was 2.6 per 1,000 admissions, and late-onset bacteremia was 26.3, with a significant decline from 70.7 to 10.5 per 1,000 admissions over the study period. Late-onset bacteremia was more common before COVID-19, while early-onset bacteremia increased during the pandemic. The top five pathogens were CoNS(39.9%), E. faecalis(17.7%), E. faecium(13.7%), E. coli(8.4%), and GBS(5.8%). During the COVID-19 pandemic, the incidence of CoNS and S. aureus infections significantly decreased. Throughout the entire study period, CoNS and S. aureus showed high resistance to penicillin G and erythromycin but were sensitive to vancomycin and linezolid. E. faecalis and E. faecium were susceptible to vancomycin, linezolid, and teicoplanin but resistant to erythromycin, tetracycline, and rifampin. MRCoNS and MRSA were detected in 72.7% and 31.0% of isolates, respectively. Resistance rates of E. faecium and E. faecalis to ampicillin decreased significantly, clindamycin resistance in GBS decreased during the pandemic.

CONCLUSION

This study highlights notable shifts in neonatal bacteraemia patterns during the COVID-19 Pandemic that were likely influenced by increased infection control and disruptions in maternal care, leading to changes in pathogen distribution and antimicrobial resistance.

Clinical relevance of lung microbiota composition in critically ill children with acute lower respiratory tract infections: insights from a retrospective analysis of metagenomic sequencing

PURPOSE

Acute lower respiratory tract infections (ALRIs) is a leading cause of child mortality worldwide. Metagenomic next-generation sequencing (mNGS) identifies ALRIs pathogens and explores the lung microbiota's role in disease severity and clinical outcomes. This study examines the association between lung microbiota and ALRIs outcomes in children, exploring its potential as a prognostic biomarker.

METHODS

We retrospectively analyzed mNGS data from the bronchoalveolar lavage fluid (BALF) of 83 pediatric ALRIs patients from 2019 to 2023. Microbial diversity and relative abundances of specific taxa were compared between survivor and non-survivor groups, as well as between varying severity levels. LEfSe was employed to identify key biomarkers related to survival and disease severity.

RESULTS

Among the 83 patients, 68 survived and 15 died. Patients were also divided into a low severity group (n = 38) and a moderate-to-very-high severity group (n = 45) according to mPIRO score at admission. Significant differences in beta diversity were observed between the survival groups and across different severity levels. Prevotella, Haemophilus and Veillonella exhibited higher abundances in both the survivor and low severity groups, suggesting their potential as predictors of better outcomes. Conversely, Enterococcus and Acinetobacter baumannii were more prevalent in the non-survivor and moderate-to-very-high severity groups. Additionally, Streptococcus pneumoniae and Streptococcus mitis showed increased abundances in survivors. LEfSe further revealed that these microorganisms may predict outcomes and severity in ALRIs.

CONCLUSION

Our findings underscore the complex relationship between lung microbiota and ALRIs, with specific microbial profiles associated with disease severity and clinical outcomes. This underscores the need for further research to explore and validate its prognostic predictive capacity.

CLINICAL TRIAL NUMBER

Not applicable.

A systems biology approach unveils different gene expression control mechanisms governing the immune response genetic program in peripheral blood mononuclear cells exposed to SARS-CoV-2

COVID-19 and other pandemic viruses continue being important for public health and the global economy. Therefore, it is essential to explore the pathogenesis of COVID-19 more deeply, particularly its association with inflammatory and antiviral processes. In this study, we used the RNA-seq technique to analyze mRNA and non-coding RNA profiles of human peripheral blood mononuclear cells (PBMCs) from healthy individuals after SARS-CoV-2 in vitro exposure, to identify pathways related to immune response and the regulatory post-transcriptional mechanisms triggered that can serve as possible complementary therapeutic targets. Our analyses show that SARS-CoV-2 induced a significant regulation in the expression of 790 genes in PBMCs, of which 733 correspond to mRNAs and 57 to non-coding RNAs (lncRNAs). The immune response, antiviral response, signaling, cell proliferation and metabolism are the main biological processes involved. Among these, the inflammatory response groups the majority of regulated genes with an increase in the expression of chemokines involved in the recruitment of monocytes, neutrophils and T-cells. Additionally, it was observed that exposure to SARS-CoV-2 induces the expression of genes related to the IL-27 pathway but not of IFN-I or IFN-III, indicating the induction of ISGs through this pathway rather than the IFN genes. Moreover, several lncRNA and RNA binding proteins that can act in the cis-regulation of genes of the IL-27 pathway were identified. Our results indicate that SARS-CoV-2 can regulate the expression of multiple genes in PBMCs, mainly related to the inflammatory and antiviral response. Among these, lncRNAs establish an important mechanism in regulating the immune response to the virus. They could contribute to developing severe forms of COVID-19, constituting a possible therapeutic target.

Dynamic changes in the circulation of respiratory pathogens in children during and after the containment of the 2019 coronavirus disease pandemic in Kunming, China

PURPOSE

We aimed to determine the changes in the frequency of respiratory pathogens and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during containment of the 2019 coronavirus disease pandemic and elucidate the epidemiological interference that may have occurred after lifting pandemic measures.

METHODS

A total of 4,770 Nasopharyngeal swab samples were collected from children with ARTIs from the First People's Hospital of Yunnan Province between January 2022 and December 2023 and subjected to nucleic acid testing for 13 types of respiratory pathogens and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

RESULTS

The frequency of pathogens among children from 2020 to 2022 was in the following order: HRV > Mp > HADV > H3N2 > HMPV and HRV > HRSV > HPIV > H1N1 > H3N2. In weeks 1 to 3 of 2023, the frequency of pathogens significantly declined, and then H1N1 rebounded significantly in 2023. HRV, HRSV, and H3N2 showed a shift in the season of high frequency. Patterns of multi-pathogen infections were more complex in 2023 than in 2022, with HRV having a higher frequency and co-infection rate than other pathogens. These changes may have been associated with interference caused by the resurgence of SARS-CoV-2 prevalence, in addition to being influenced by changes in pandemic containment and lifting measures.

CONCLUSIONS

The frequency rate of common respiratory pathogens among children was not significantly different and remained high. The study findings help elucidate the aforementioned unique historical period and effectively control respiratory tract infections to reduce the harm to pediatric health caused by respiratory pathogens.

Exploring the causes of variability in quality of oropharyngeal swab sampling for SARS-CoV-2 nucleic acid testing and proposed improvement measures: a multicenter, double-blind study

Although coronavirus disease 2019 (COVID-19) has not been considered a public health emergency of international concern since last year, intermittent regional impacts still persist, and accurate testing remains crucial. Ribonuclease P protein subunit P30 (RPP30) RNA, known for its broad and stable expression in tissue cells, was used to evaluate samples from 10 hospitals with over 3,000 negative nucleic acid tests. The results revealed that the overall pass rate for the collected samples was consistently low and exhibited significant heterogeneity. After reassessing the evaluative effectiveness of RPP30 RNA Ct values from the samples of 132 positive individuals under quarantine observation, it was used to identify factors affecting sampling quality. These factors included different stages ranging from sample collection to PCR processing, various characteristics of both samplers and individuals being sampled, as well as sampling season and location. The results indicated that post-sampling handling had minimal impact, winter and fever clinic samples showed higher quality, whereas children's samples had lower quality. The key finding was that the characteristics of samplers were closely related to sampling quality, emphasizing the role of subjectivity. Quality control warnings led to substantial improvements, confirming this finding. Consequently, although there are various factors during the testing process, the most critical aspect is to improve, supervise, and maintain standardized practices among sampling staff.IMPORTANCEThis study further confirmed the reliability of internal references (IRs) in assessing sample quality, and utilized a large sample IR data to comprehensively and multidimensionally identify significant interference factors in nucleic acid test results. By further reminding and intervening in the subjective practices of specimen collectors, good results could be achieved.

Epidemiology of respiratory pathogens in patients with acute respiratory infections during the COVID-19 pandemic and after easing of COVID-19 restrictions

We aimed to investigate the epidemiological characteristics of non-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) respiratory pathogens among patients with acute respiratory infections (ARIs) in Shijiazhuang, China, during the coronavirus disease 2019 (COVID-19) pandemic (January 2021--December 2022) and after the relaxation of COVID-19 restrictive measures (January 2022--December 2023). This retrospective study enrolled 6,633 ARIs patients who visited the Hebei General Hospital between 2021- and 2023. Nasopharyngeal swabs samples were collected for multiplex PCR detection of 13 common respiratory pathogens. Respiratory pathogens were detected in 31.58% of individuals diagnosed with ARIs, whileereas a co-infection with multiple pathogens was observed in 8.5% of the ARI patients. In the years 2021 and 2022, 326 (27.63%) and 283 (24.38%) respiratory pathogens were found to be positive, respectively, during the COVID-19 pandemic. However, in 2023, subsequent to the easing of COVID-19 restrictions, the positivity rate significantly rose to 34.62%, with 4,292 cases identified. The majority of positive cases over the last three3 years were concentrated in patients under 14 years old. The predominant pathogens identified were human rhinovirus (HRVs) (15.08%) in 2021, mycoplasma pneumonia (MP) (6.46%) in 2022, and influenza A virus (FluA) (11.35%) in 2023. Seasonal prevalence patterns of most pathogens were affected, except for parainfluenza virus (PIV). There was a simultaneous increase in the positive cases and positivity rates of FluA and adenovirus (ADV) Iin 2023, compared to 2021 and 2022. Additionally, the infection rates of respiratory syncytial virus (RSV), MP, and coronavirus (CoV) in 2023 either exceeded or were comparable to those in 2021 and 2022. Conversely, the positivity rates of PIV, RVs, metapneumovirus (MPV), and influenza B virus (FluB) were lower in 2023 compared to 2021 or 2022.

IMPORTANCE

The implementation of strict non-pharmaceutical interventions (NPIs) during the coronavirus disease 2019 (COVID-19) pandemic may lead to changes in the epidemiological features of respiratory pathogens, as well as the occurrence of immune debt, potentially causing a resurgence in respiratory pathogen activity following the easing of strict NPIs measures. There are limited reports on the epidemiological characteristics of respiratory pathogens among patients of all ages with acute respiratory infections (ARIs) during the COVID-19 pandemic and after the easing of COVID-19 restrictions. Our study investigated the epidemiology of 13 respiratory pathogens in Shijiazhuang, China, from January 2021 to December 2023. Thisese data isare crucial for the ongoing surveillance of epidemiological shifts in respiratory pathogens during and post the -COVID-19 pandemic, and serves as a scientific foundation for the prevention and management of ARIs.

The impact of optimizing microbial diagnosis processes on clinical and healthcare economic outcomes in hospitalized patients with bloodstream infections

PURPOSE

Bloodstream infections (BSIs) are associated with significant morbidity, mortality and costs, while prolonged blood culture (BC) diagnosis may delay the initiation of targeted therapy. This study evaluates the impact of an optimized microbiology laboratory process on turnaround times, antibiotic use, clinical outcomes and economics for hospitalized BSI patients.

METHODS

A pre-post study was conducted in a Chinese hospital in which BSI derived BC results before (Oct. 2020- Sep. 2021) and after (Oct. 2021- Sep. 2022) newly implemented microbiology diagnostics and workflow changes were analyzed. Turnaround times, antibiotic initiation, length of stay and in-hospital costs were compared.

RESULTS

From 213 included patients, 134 were pre-optimization (pre-op) and 79 were post-optimization (post-op) cases. The median time from blood sample collection (BSC) to pathogen identification (ID) decreased from 70.12 to 47.43 h post-op (P < 0.001). The median time from BSC to the first ID report related initiation of pathogen-directed antibiotic use decreased from 88.48 to 47.85 h post-op (P < 0.001). The average hospital stay decreased from 19.54 to 16.79 days and 30-day readmissions declined from 18.7 to 13.9%, while the mean total antimicrobial drug usage costs decreased by 3,889 CNY per patient (P = 0.022) after optimization.

CONCLUSIONS

Implementing new diagnostics technologies and optimizing laboratory workflows significantly reduced antimicrobial drug usage costs, shortened the time to ID results and improved the timeliness of appropriate antibiotic choices to treat BSIs. Investments in faster testing and process improvements were clearly beneficial for patient outcomes and healthcare economics.

Integrated multi-omics analysis of the microbial profile characteristics associated with pulmonary arterial hypertension in congenital heart disease

Dysregulation of immune and inflammatory cells around blood vessels and metabolic dysfunction are key mechanisms in the development of pulmonary arterial hypertension (PAH). The homeostasis of the human microbiome plays a crucial role in regulating immune responses and the progression of diseases. For pulmonary arterial hypertension associated with congenital heart disease involving body-lung shunt (PAH-CHD), the potential impact of the microbiome on the "gut-lung axis" remains underexplored. This study recruited 15 healthy individuals and 15 patients with pulmonary arterial hypertension due to congenital heart disease from Fuwai Yunnan Hospital, Chinese Academy of Medical Sciences, and Kunming Children's Hospital. We performed differential analyses of metabolites and microbiota from both the gut and lower respiratory tract for these two groups. The goal was to investigate the "gut-lung axis" microbiome and metabolome profiles in children with PAH-CHD and to analyze the interrelationships between these profiles. Ultimately, we aim to propose the potential value of these profiles in aiding diagnosis. The results indicated that the gut and pulmonary microbiota of children with PAH-CHD are characterized by an increased abundance of beneficial symbionts, which are closely linked to changes in the metabolome. Metabolite functional enrichment analysis revealed energy metabolism reprogramming in the PAH-CHD group, with active metabolic pathways associated with bile acid secretion and carnitine homeostasis. Moreover, the differential expression of metabolites was correlated with right heart function and growth development.IMPORTANCEPrevious studies have primarily focused on the relationship between the gut microbiome and PAH. However, the impact of microbial homeostasis on the progression of PAH-CHD from the perspective of the gut-lung axis has not been adequately elucidated. Our study utilizes an integrated multi-omics approach to report on the differential characteristics of gut and lung microbiota between children with PAH-CHD and reference subjects. We found that microbiota influence the pathological changes and disease manifestations of PAH-CHD through their metabolic activity. Additionally, alterations in metabolites impact the microbial ecological structure. Our findings suggest that modulating the microbiome composition may have positive implications for maintaining and regulating the immune environment and pathological progression of PAH-CHD.

Intranasal administration of Clostridium butyricum and its derived extracellular vesicles alleviate LPS-induced acute lung injury

Acute lung injury (ALI) is associated with high morbidity and mortality rates. However, its clinical treatment is limited. Currently, the treatment of lung diseases by regulating the lung microbiota has become a research hotspot. In this study, we investigated the protective effects of the intranasal administration of Clostridium butyricum and its derived extracellular vesicles (EVs) against lipopolysaccharide (LPS)-induced ALI. The results demonstrated that compared with the LPS group, the pre-treatment group with C. butyricum and its EVs reduced the expression of pro-inflammatory cytokines and alleviated the symptoms in ALI mice by inhibiting the TLR4/MyD88 signaling pathway. Moreover, C. butyricum and its derived EVs inhibited the expression of apoptosis-related proteins and increased the expression of lung barrier proteins. Additionally, the intervention of C. butyricum changed the composition of the pulmonary microbiota. At the species level, LPS significantly increased the relative abundance of Acinetobacter johnsonii, while C. butyricum reversed this effect. In conclusion, these data demonstrate that intranasal administration of C. butyricum and its EVs can prevent LPS-induced ALI by reducing inflammation, inhibiting apoptosis, and improving lung barrier function. Additionally, C. butyricum regulated the pulmonary microbiota of mice to alleviate LPS-induced ALI.IMPORTANCEThe disorder of pulmonary microbiota plays an important role in the progression of acute lung injury (ALI). However, very few studies have been conducted to treat ALI by modulating pulmonary microbiota. In this study, the diversity and composition of pulmonary microbiota were altered in lipopolysaccharide (LPS)-induced ALI mice, but the ecological balance of the pulmonary microbiota was restored by intranasal administration of Clostridium butyricum. Moreover, the study reported the mechanism of C. butyricum and its derived extracellular vesicles for the treatment of LPS-induced ALI. These results reveal the importance of pulmonary microbiota in ALI disease. It provides a new approach for the treatment of ALI with new-generation probiotics.

Mechanisms and Assessment of Genotoxicity of Metallic Engineered Nanomaterials in the Human Environment

Engineered nanomaterials (ENMs) have a broad array of applications in agriculture, engineering, manufacturing, and medicine. Decades of toxicology research have demonstrated that ENMs can cause genotoxic effects on bacteria, mammalian cells, and animals. Some metallic ENMs (MENMs), e.g., metal or metal oxide nanoparticles TiO2 and CuO, induce genotoxicity via direct DNA damage and/or reactive oxygen species-mediated indirect DNA damage. There are various physical features of MENMs that may play an important role in promoting their genotoxicity, for example, size and chemical composition. For a valid genotoxicity assessment of MENMs, general considerations should be given to various factors, including, but not limited to, NM characterization, sample preparation, dosing selection, NM cellular uptake, and metabolic activation. The recommended in vitro genotoxicity assays of MENMs include hprt gene mutation assay, chromosomal aberration assay, and micronucleus assay. However, there are still knowledge gaps in understanding the mechanisms underlying the genotoxicity of MENMs. There are also a variety of challenges in the utilization and interpretation of the genotoxicity assessment assays of MENMs. In this review article, we provide mechanistic insights into the genotoxicity of MENMs in the human environment. We review advances in applying new endpoints, biomarkers, and methods to the genotoxicity assessments of MENMs. The guidance of the United States, the United Kingdom, and the European Union on the genotoxicity assessments of MENMs is also discussed.

Pulmonary microbial spectrum in late-stage SARS-CoV-2 infection: a case series

Coronavirus disease 2019 (COVID-19), a kind of respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), primarily spreads through the respiratory tract from human to human. Its extensive and rapid spread has led to a global pandemic, causing great harm to human health and economic development all over the world. Current known evidence indicates that SARS-CoV-2 has evolved accumulating multiple mutations, with altered infectivity and viral replication capacity. A better understanding of the complications of COVID-19 and its relationship with underlying diseases is crucial for the prevention and treatment of SARS-CoV-2. This case series reviewed case data of our 4 recent patients with severe or critical COVID-19, including treatment plan, status of pulmonary infection and their microbiology workup with metagenomic next-generation sequencing with bronchoalveolar lavage fluid. This report shed light on the significance of rapid and accurate clinical diagnosis and treatment on COVID-19.

Development and validation of nomogram for predicting the risk of transferring to the ICU for children with influenza

OBJECTIVE

Development of a nomogram model for predicting the magnitude of risk of transferring hospitalized children with influenza to the ICU.

METHODS

In a single-center retrospective study, 318 children with influenza who were hospitalized in our hospital from January 2018 to August 2023 were collected as study subjects. Children with influenza were randomly assigned to the training set and validation set in a ratio of 4:1. In the training set, risk factors were identified using univariate and multivariate logistic regression analyses, and a nomogram model was created on this basis. The validation set was used to evaluate the predictive power of the model.

RESULTS

Multifactorial logistic regression analysis revealed six independent risk factors for transfer to the ICU in hospitalized children with influenza, including elevated peripheral white blood cell counts, elevated large platelet ratios, reduced mean platelet width, reduced complement C3, elevated serum globulin levels, and reduced total immunoglobulin M levels. Using these six metrics as predictors to construct a nomogram graphical model, the C-index was 0.970 (95% Cl: 0.953-0.988). The areas under the curve for the training and validation sets were 0.966 (95%Cl 0.947-0.985) and 0.919 (95%Cl 0.851-0.986), respectively.

CONCLUSION

A nomogram for predicting the risk of transferring to the ICU for children with influenza was developed and validated, which demonstrates good calibration and clinical benefits.

Association between semen microbiome disorder and sperm DNA damage

DNA fragmentation index (DFI), a new biomarker to diagnose male infertility, is closely associated with poor reproductive outcomes. Previous research reported that seminal microbiome correlated with sperm DNA integrity, suggesting that the microbiome may be one of the causes of DNA damage in sperm. However, it has not been elucidated how the microbiota exerts their effects. Here, we used a combination of 16S rRNA sequencing and untargeted metabolomics techniques to investigate the role of microbiota in high sperm DNA fragmentation index (HDFI). We report that increased specific microbial profiles contribute to high sperm DNA fragmentation, thus implicating the seminal microbiome as a new therapeutic target for HDFI patients. Additionally, we found that the amount of Lactobacillus species was altered: Lactobacillus iners was enriched in HDFI patients, shedding light on the potential influence of L. iners on male reproductive health. Finally, we also identified enrichment of the acetyl-CoA fermentation to butanoate II and purine nucleobase degradation I in the high sperm DNA fragmentation samples, suggesting that butanoate may be the target metabolite of sperm DNA damage. These findings provide valuable insights into the complex interplay between microbiota and sperm quality in HDFI patients, laying the foundation for further research and potential clinical interventions.IMPORTANCEThe DNA fragmentation index (DFI) is a measure of sperm DNA fragmentation. Because high sperm DNA fragmentation index (HDFI) has been strongly associated with adverse reproductive outcomes, this has been linked to the seminal microbiome. Because the number of current treatments for HDFI is limited and most of them have no clear efficacy, it is critical to understand how semen microbiome exerts their effects on sperm DNA. Here, we evaluated the semen microbiome and its metabolites in patients with high and low sperm DNA fragmentation. We found that increased specific microbial profiles contribute to high sperm DNA fragmentation. In particular, Lactobacillus iners was uniquely correlated with high sperm DNA fragmentation. Additionally, butanoate may be the target metabolite produced by the microbiome to damage sperm DNA. Our findings support the interaction between semen microbiome and sperm DNA damage and suggest that seminal microbiome should be a new therapeutic target for HDFI patients.

The diagnostic value of bronchoalveolar lavage fluid metagenomic next-generation sequencing in critically ill patients with respiratory tract infections

Metagenomic next-generation sequencing (mNGS) is an unbiased and rapid method for detecting pathogens. This study enrolled 145 suspected severe pneumonia patients who were admitted to the Affiliated Hospital of Jining Medical University. This study primarily aimed to determine the diagnostic performance of mNGS and conventional microbiological tests (CMTs) using bronchoalveolar lavage fluid samples for detecting pathogens. Our findings indicated that mNGS performed significantly higher sensitivity (97.54% vs 28.68%, P < 0.001), coincidence (90.34% vs 35.17%, P < 0.001), and negative predictive value (80.00% vs 13.21%, P < 0.001) but performed lower specificity than CMTs (52.17% vs 87.5%, P < 0.001). Streptococcus pneumoniae as the most common bacterial pathogen had the largest proportion (22.90%, 30/131) in this study. In addition to bacteria, fungi, and virus, mNGS can detect a variety of atypical pathogens such as Mycobacterium tuberculosis and non-tuberculous. Mixed infections were common in patients with severe pneumonia, and bacterial-fungal-viral-atypical pathogens were the most complicated infection. After adjustments of antibiotics based on mNGS and CMTs, the clinical manifestation improved in 139 (95.86%, 139/145) patients. Our data demonstrated that mNGS had significant advantage in diagnosing respiratory tract infections, especially atypical pathogens and fungal infections. Pathogens were detected timely and comprehensively, contributing to the adjustments of antibiotic treatments timely and accurately, improving patient prognosis and decreasing mortality potentially.IMPORTANCEMetagenomic next-generation sequencing using bronchoalveolar lavage fluid can provide more comprehensive and accurate pathogens for respiratory tract infections, especially when considering the previous usage of empirical antibiotics before admission or complicated clinical presentation. This technology is expected to play an important role in the precise application of antimicrobial drugs in the future.

Risk factors for pneumonia among children with coinfection of influenza A virus and Mycoplasma pneumoniae

OBJECTIVE

To investigate the clinical characteristics and risk factors for pneumonia in children co-infected with influenza A virus (IAV) and Mycoplasma pneumoniae (MP).

METHODS

Children who were diagnosed with IAV and MP infection between January and December, 2023 were enrolled and divided into a non-pneumonia group and a pneumonia group. Univariate analysis and logistic regression analysis were used to evaluate each index, and the risk factors for pneumonia caused by coinfection in the two groups were explored.

RESULTS

A total of 209 patients were enrolled, of which 107 and 102 patients were in the pneumonia and non-pneumonia groups, respectively. The patients in the pneumonia group were older and had a longer duration of fever (P < 0.05). Univariate analysis revealed that the median age, duration of fever, and CD3+, CD4+, CD8+ and IL-10 levels were significantly correlated with pneumonia (P < 0.05). Multivariate logistic regression analysis revealed that the median age, duration of fever, and CD4+, CD8+ and IL-10 levels were independent risk factors for pneumonia. Area under the curve of the five combined indicators in the ROC (receiver operator characteristic) analysis was 0.883, was higher than single factor.

CONCLUSION

Children with IAV and MP infection whose age older than 6.08 years, had a fever longer than 4 days, had a CD4+ count < 22.12%, had a CD8+ count < 35.21%, had an IL-10 concentration > 22.08 ng/ml were more likely to develop pneumonia.

Metagenomic next-generation sequencing of nasopharyngeal microbiota in COVID-19 patients with different disease severities

Throughout the COVID-19 pandemic, extensive research has been conducted on SARS-COV-2 to elucidate its genome, prognosis, and possible treatments. However, few looked at the microbial markers that could be explored in infected patients and that could predict possible disease severity. The aim of this study is to compare the nasopharyngeal microbiota of healthy subjects, moderate, under medication, and recovered SARS-COV-2 patients. In 2020, 38 nasopharyngeal swabs were collected from 6 healthy subjects, 14 moderates, 10 under medication and 8 recovered SARS-COV-2 patients at the Prince Mohammed Bin Abdulaziz Hospital Riyadh. Metatranscriptomic sequencing was performed using Minion Oxford nanopore sequencing. No significant difference in alpha as well as beta diversity was observed among all four categories. Nevertheless, we have found that Streptococcus spp including Streptococcus pneumoniae and Streptococcus thermophilus were among the top 15 most abundant species detected in COVID-19 patients but not in healthy subjects. The genus Staphylococcus was found to be associated with COVID-19 patients compared to healthy subjects. Furthermore, the abundance of Leptotrichia was significantly higher in healthy subjects compared to recovered patients. Corynebacterium on the other hand, was associated with under-medication patients. Taken together, our study revealed no differences in the overall microbial composition between healthy subjects and COVID-19 patients. Significant differences were seen only at specific taxonomic level. Future studies should explore the nasopharyngeal microbiota between controls and COVID-19 patients while controlling for confounders including age, gender, and comorbidities; since these latter could affect the results and accordingly the interpretation.IMPORTANCEIn this work, no significant difference in the microbial diversity was seen between healthy subjects and COVID-19 patients. Changes in specific taxa including Leptotrichia, Staphylococcus, and Corynebacterium were only observed. Leptotrichia was significantly higher in healthy subjects, whereas Staphylococcus and Corynebacterium were mostly associated with COVID-19, and specifically with under-medication SARS-COV-2 patients, respectively. Although the COVID-19 pandemic has ended, the SARS-COV-2 virus is continuously evolving and the emergence of new variants causing more severe disease should be always kept in mind. Microbial markers in SARS-COV-2 infected patients can be useful in the early suspicion of the disease, predicting clinical outcomes, framing hospital and intensive care unit admission as well as, risk stratification. Data on which microbial marker to tackle is still controversial and more work is needed, hence the importance of this study.

Impact of Tuberculosis on Disease Severity and Viral Shedding Duration in COVID-19 Patients

Accumulating evidence show a potential association between tuberculosis and COVID-19 disease severity. To further clarify the impact of tuberculosis on COVID-19 disease severity and viral shedding duration, a retrospective study was conducted on 223 COVID-19 patients, including 34 with tuberculosis and 189 without tuberculosis. Clinical information and viral load shedding time were collected. A higher percentage of severe/critical COVID-19 diagnosis and deaths was observed in patients with tuberculosis than in those without tuberculosis (8.8% vs. 3.2%, p = 0.142; 2.9% vs. 1.1%, p = 0.393), and COVID-19 patients with tuberculosis had longer viral shedding than those without tuberculosis (median: 15.0 days vs. 11.0 days; p = 0.0001). Having tuberculosis (HR = 2.21, 95% CI 1.37-3.00; p = 0.000), being of elderly age (HR = 1.02, 95% CI 1.01-1.03; p = 0.001) and being diagnosed with severe or critical COVID-19 (HR = 5.63, 95% CI 2.10-15.05; p = 0.001) were independent factors associated with prolonged virus time of SARS-CoV-2. COVID-19 patients with tuberculosis receiving anti-tuberculosis therapy time (ATT) for <2 months had a significantly longer virus shedding duration than those receiving ATT for ≥ 4 months (17.5 vs. 11.5 days, p = 0.012). Our results demonstrated that COVID-19 patients with tuberculosis tend to have more severe disease and a worse prognosis, and tuberculosis prolonged viral shedding, highlighting special attention and/or care required for COVID-19 patients with tuberculosis receiving ATT for <2 months.

Prolonged mask wearing changed nasal microbial characterization of young adults during the COVID-19 pandemic in Shanghai, China

Background

Face masks have become a common sight during the Coronavirus Disease 2019 (COVID-19) pandemic in many countries. However, the impact of prolonged face mask wearing on nasal microbiota of healthy people is not fully understood.

Methods

In this study, we compared the nasal microbiota of 82 young adults who wore face masks for an extended period of time to 172 mask-free peers from the same school recruited before the COVID-19 pandemic via 16S ribosomal RNA gene sequencing. Diversity, composition, and function of nasal microbiota between the two groups were analyzed. Prevalence of commensal bacteria colonized in the nasal cavity was determined by culture-based analysis.

Results

We observed that prolonged face mask wearers had significantly different nasal microbial characterization and metabolic function compared to mask-free controls from 2018. Specifically, the nasal microbiota of the prolonged mask wearers displayed increased abundance of Staphylococcus, Pseudoalteromonas, Corynebacterium, etc. Meanwhile, the abundance of several genera including Bacteroides, Faecalibacterium, and Agathobacter was decreased. Moreover, we observed that COVID-19 infection history did not affect the composition of nasal microbiota significantly. Additionally, the culture-based analysis revealed that Staphylococcus aureus and Corynebacterium accolens increased, and Staphylococcus epidermidis decreased in the nasal cavity of prolonged mask wearers.

Conclusions

Overall, our study suggests that prolonged face mask wearing can significantly alter the nasal microbiota.