ArticleFrontiers in medicine2025
Construction and validation of nomogram prediction model for clinical efficacy of high-dose continuous renal replacement therapy in sepsis patients based on inflammatory response and microcirculation.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To construct a nomogram model for predicting the clinical efficacy of high-dose continuous renal replacement therapy (CRRT) in sepsis patients based on inflammatory response and microcirculation, and to explore its clinical application value. Methods: A total of 162 sepsis patients who received high-dose CRRT in our hospital were randomly divided into a training set ( Results: The percentages of patients with poor efficacy in the training set and the validation set were 29.20% (33 cases) and 26.53% (13 cases), respectively. Multivariate logistic analysis of the training set showed that high Acute Physiology and Chronic Health Evaluation II (APACHE-II) score, high white blood cell (WBC), procalcitonin (PCT), C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6) levels, and high Sequential Organ Failure Assessment (SOFA) score were the independent risk factors for poor therapeutic effects (all Conclusion: The nomogram prediction model based on the inflammatory response and microcirculation can effectively predict the clinical efficacy of high-dose CRRT in the treatment of sepsis in patients at an early stage.
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