ArticleInternational journal of general medicine2025
Analysis of Risk Factors for Severe Pneumonia Progression in Chlamydia psittaci Infections: A Retrospective Study.
Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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1 citing paper in PubMed.
- Clinical Characteristics and Machine Learning-Based Severity Classification ofInfection and drug resistance · 2026Article
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4 authors.
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Abstract
Introduction: Psittacosis pneumonia, caused by Methods: In this retrospective study, 51 patients with metagenomic next-generation sequencing (mNGS)-confirmed psittacosis pneumonia were classified into severe (n=20) and non-severe (n=31) groups. Demographic characteristics, clinical manifestations, laboratory parameters, and imaging features were collected. Variables were analyzed using univariate screening, variance inflation factor (VIF)-based multicollinearity control, least absolute shrinkage and selection operator (LASSO) regression, and Firth-penalized logistic regression. Receiver operating characteristic (ROC) analysis evaluated predictive performance. Results: Patients with severe pneumonia were significantly older ( Conclusion: CVD history and progressive Hb decrease are independent risk factors for severe psittacosis pneumonia. Dynamic monitoring of LYM, Hb, LDH, and CVD history facilitates early risk stratification. The multivariate model demonstrates high predictive accuracy and clinical utility.
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