Challenges and Progress Toward Determining Pneumonia Etiology

Sauteur, Patrick M. Meyer

doi:10.1093/cid/ciz879

Cited by 15 publications

(13 citation statements)

References 26 publications

(45 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…viruses than RSV (n = 7, being aware that URT detection of other pathogens than RSV may not be related to pneumonia [3]); and third, negative for viruses (n = 19, in which Sp was detected in 14 [74%] in the URT and additionally in 2 of 2 in pleural aspirate during routine clinical care). However, although numbers were again smaller for this subanalysis, Mp-positive CAP was also compared to subgroups of Mp-negative CAP statistically associated with older age, prolonged prodromal respiratory symptoms, and low levels of PCT ( Supplementary Figure 1 and Supplementary Table 3).…”

Section: Detection Of Pathogensmentioning

confidence: 99%

Improved Diagnostics Help to Identify Clinical Features and Biomarkers That Predict Mycoplasma pneumoniae Community-acquired Pneumonia in Children

Sauteur

Krautter

Ambroggio

et al. 2019

Clinical Infectious Diseases

Self Cite

View full text Add to dashboard Cite

Background. There are no reliable signs or symptoms that differentiate Mycoplasma pneumoniae (Mp) infection in communityacquired pneumonia (CAP) from other etiologies. Additionally, current diagnostic tests do not reliably distinguish between Mp infection and carriage. We previously determined that the measurement of Mp-specific immunoglobulin M antibody-secreting cells (ASCs) by enzyme-linked immunospot assay allowed for differentiation between infection and carriage. Using this new diagnostic test, we aimed to identify clinical and laboratory features associated with Mp infection.Methods. This is a prospective cohort study of children, 3-18 years of age, with CAP from 2016 to 2017. Clinical features and biomarkers were compared between Mp-positive and -negative groups by Mann-Whitney U test or Fisher exact test, as appropriate. Area under the receiver operating characteristic curve (AUC) differences and optimal thresholds were determined by using the DeLong test and Youden J statistic, respectively.Results. Of 63 CAP patients, 29 were Mp-positive (46%). Mp positivity was statistically associated with older age (median, 8.6 vs 4.7 years), no underlying disease, family with respiratory symptoms, prior antibiotic treatment, prolonged prodromal respiratory symptoms and fever, and extrapulmonary (skin) manifestations. Lower levels of C-reactive protein, white blood cell count, absolute neutrophil count, and procalcitonin (PCT), specifically PCT <0.25 μg/L, were statistically associated with Mp infection. A combination of age >5 years (AUC = 0.77), prodromal fever and respiratory symptoms >6 days (AUC = 0.79), and PCT <0.25 μg/L (AUC = 0.81) improved diagnostic performance (AUC = 0.90) (P = .05).Conclusions. A combination of clinical features and biomarkers may aid physicians in identifying patients at high risk for Mp CAP.

show abstract

Section: Detection Of Pathogensmentioning

confidence: 99%

Improved Diagnostics Help to Identify Clinical Features and Biomarkers That Predict Mycoplasma pneumoniae Community-acquired Pneumonia in Children

Sauteur

Krautter

Ambroggio

et al. 2019

Clinical Infectious Diseases

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is especially suitable for areas where pathogen detection is difficult to carry out, such as primary care hospitals and resource-limited countries. In addition, even though advanced hospitals conduct microbiological tests, each microbiological test method has limitations (5). Current diagnostic tests, such as M. pneumoniae DNA positive in blood sample or upper respiratory tract sputum, do not reliably differentiate between M. pneumoniae infection and carriage (11).…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, it is a priority to identify the pathogen to distinguish adenovirus pneumonia (AVP) from M. pneumoniae pneumonia (MPP). Even if results of microbiologic testing is obtained, however, it has limitations (5). Correctly distinguishing between AVP and MPP is a challenge.…”

Section: Introductionmentioning

confidence: 99%

Development of a model for early differentiation of adenovirus pneumonia from Mycoplasma pneumoniae pneumonia

Zhang¹,

Li²,

Wang³

et al. 2022

Transl Pediatr

View full text Add to dashboard Cite

Background: Adenovirus pneumonia (AVP) and Mycoplasma pneumoniae pneumonia (MPP) have similar clinical manifestations such as a high prevalence of lung consolidation, making the differential diagnosis difficult before the etiology is reported. This study aimed to compare AVP and MPP, and to build a predictive model to differentiate them early. Methods:We selected 198 cases of AVP and 876 cases of MPP. Clinical manifestations, computed tomography (CT) features, and biomarkers were compared. A logistic regression model was built to predict AVP. The area under the curve (AUC) of the receiver-operating characteristic was calculated to evaluate the discriminant ability of the prediction model.Results: Patients in the AVP group were mainly infants and toddlers, while the MPP group had more preschool age children. The rate of hypoxemia and severe pneumonia was 3-and 11-times higher, respectively, in the AVP group than in the MPP group (5.6% vs. 1.8%, 27.8% vs. 2.5%, P<0.01). The proportion of patients with a Pediatric Logistic Organ Dysfunction-2 score ≥2 was 10 times higher in the AVP group than in the MPP group (17.4% vs. 1.7%, P<0.01). Bilateral pneumonia was present in 90.2% of the AVP group.Biomarkers, such as interleukin (IL)-2 receptor, IL-10 and lactic dehydrogenase (LDH), were considerably higher in the AVP group than in the MPP group (P<0.01). The predictive model included eight variables, namely: age, severe pneumonia, bilateral pneumonia, ground-glass attenuation, consolidation, atelectasis, C-reactive protein, and LDH. The AUC was 86.6%.Conclusions: Compared with MPP, AVP affects younger children, presents a more severe respiratory tract involvement, results in a larger range of lung lesions, and is associated with higher inflammatory biomarkers.Our predictive model includes a combination of clinical features, imaging findings, and biomarkers. It may help pediatricians in the early differentiation of AVP from MPP.

show abstract

“…It typically manifests as a series of lung inflammatory responses. Precise identification of the underlying associated pathogens to implement effective anti-infective therapy remains a challenge (Meyer Sauteur, 2020). Sensitive diagnostic tools to guide pneumonia treatment (Naydenova et al, 2016) are required.…”

Section: Pneumoniamentioning

confidence: 99%

Review of LINC00707: A Novel LncRNA and Promising Biomarker for Human Diseases

Yao

Zheng

Chen

2022

Front. Cell Dev. Biol.

View full text Add to dashboard Cite

Long noncoding RNAs (lncRNAs) are a major type of noncoding RNA greater than 200 nucleotides in length involved in important regulatory processes. Abnormal expression of certain lncRNAs contributes to the pathogenesis of multiple diseases, including cancers. The lncRNA LINC00707 is located on chromosome 10p14 and is abnormally expressed in numerous disease types, and particularly in several types of cancer. High LINC00707 levels mediate a series of biological functions, including cell proliferation, apoptosis, metastasis, invasion, cell cycle arrest, inflammation, and even osteogenic differentiation. In this review, we discuss the main functions and underlying mechanisms of LINC00707 in different diseases and describe promising applications of LINC00707 in clinical settings.

show abstract

Challenges and Progress Toward Determining Pneumonia Etiology

Cited by 15 publications

References 26 publications

Improved Diagnostics Help to Identify Clinical Features and Biomarkers That Predict Mycoplasma pneumoniae Community-acquired Pneumonia in Children

Improved Diagnostics Help to Identify Clinical Features and Biomarkers That Predict Mycoplasma pneumoniae Community-acquired Pneumonia in Children

Development of a model for early differentiation of adenovirus pneumonia from Mycoplasma pneumoniae pneumonia

Review of LINC00707: A Novel LncRNA and Promising Biomarker for Human Diseases

Contact Info

Product

Resources

About