Observational studyRespiratory research2022
N-myc and STAT interactor is a novel biomarker of severity in community-acquired pneumonia: a prospective study.
Observational study in Respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 1 citations in OpenAlex.
- N-myc and STAT interactor promotes poly(I:C)-induced pulmonary coagulopathy via STAT3-dependent tissue factor.Frontiers in immunology · 2026Article
- N-myc and STAT interactor is a novel biomarker for predicting the severity and clinical outcome of sepsis: a prospective research.Frontiers in cellular and infection microbiology · 2026Article
- Identification of Gene Signatures Associated with COVID-19 across Children, Adolescents, and Adults in the Nasopharynx and Peripheral Blood by Using a Machine Learning Approach.Current gene therapy · 2025Article
- Potential role of serological biomarkers in the diagnosis and prediction of community-acquired pneumonia in elderly individuals.Frontiers in medicine · 2025Review
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
objectivesTo tested the ability of N-myc and STAT interactor (NMI) levels in patients with community-acquired pneumonia (CAP) to predict the severity of the disease.
methodsProspective observational analysis of patients with CAP was performed. The NMI levels in serum of 394 CAP patients on admission were measured by immunoassay. Thirty-day mortality and intensive care unit (ICU) admission were set as clinical outcomes. The predicting value of NMI for clinical outcomes was determined by receiver operating characteristic curve and logistic regression analysis. The internal validity was assessed using cross-validation with bootstrap resampling.
resultsNMI was an independent risk factor for both 30-day mortality and admission to ICU for CAP patients. The area under curve (AUC) of NMI to predict mortality was 0.91 (95% CI: 0.86-0.96), and that to predict ICU admission was 0.92 (95% CI: 0.88-0.97), significantly higher than that of other biomarkers including procalcitonin and C-reactive protein. The proportion of clinical outcomes notably rose as NMI levels elevated (P < 0.001). The AUCs of the new score systems including NMI (N-PSI and N-CURB65 score) to predict outcomes were significantly higher than the original score systems.
conclusionsNMI is a novel biomarker for predicting CAP severity superior to former biomarkers in 30-day mortality and ICU admission.
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