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

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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Publication Details

Journal
Frontiers in Medicine
Published
2025-11-27
DOI
https://doi.org/10.3389/fmed.2025.1565378
Primary Topic
Acute Kidney Injury Research
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zhenfei Huang, Qinglan Li, Wenfeng Ye, Cheng Huang et al.
Frontiers in Medicine
Acute Kidney Injury Research
article

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

Zhenfei Huang, Qinglan Li, Wenfeng Ye, Cheng Huang, Pingping Liu
article en

Abstract

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.

Frontiers in MedicineVol. 12
Ganzhou People's Hospital (CN)
Openalex Percentile: Top 56%
Acute Kidney Injury Research
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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 — Zhenfei Huang, Qinglan Li, et al. · Frontiers in Medicine (2025) | TGRS Research Map | TGRS