ArticleAfrican health sciences2022
Factors affecting 90-day mortality in community and hospital acquired pneumonia patients with or without acute kidney injury.
Article in African health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A Machine Learning-Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study.Journal of medical Internet research · 2024Article
- Editorial I: So, who wins? It is still: NCDs 3; Infections 2.African health sciences · 2022Article
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Abstract
Background: AKI is a significant risk factor for mortality. Inflammatory markers are commonly used in the prediction of prognosis in pneumonia patients. The present study aimed to evaluate the prevalence of AKI in hospitalized CAP and HAP patients and to investigate the role of inexpensive, practical, routinely measured serum biomarkers in predicting 90-day mortality. Materials and Methods: The retrospective study included 381 patients in CAP patients and HAP patients who were hospitalized in our Chest Diseases clinic or ICU. Results: Ninety-day mortality occurred in 115 (30.2%) patients (CAP, 28.7%; HAP, 34.7%). AKI was detected in 25.5% of the patients. On multivariate logistic regression analysis, the 90-day mortality risk was 0.931, 1.05, 0.607, and 1.999 times greater in patients with an increased APACHE II score and increased WBC, 1-h creatinine, and 48-h creatinine levels, respectively. In CAP patients, the 90-day mortality risk was 0.296, 0.539, and 1.966 times greater in patients with an increased CURB-65 score and elevated 1-h and 48-h creatinine levels, respectively. In HAP patients, however, the 90-day mortality risk was 3.554 times greater in patients with an increased 48-h creatinine level. Conclusion: Novel practical scoring systems based on serum creatinine levels are needed for the prediction of long-term prognosis in pneumonia patients.
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