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Development and validation of a nomogram to predict the risk of renal replacement therapy among acute kidney injury patients in intensive care unit.
Peng, Jiang-Chen; Wu, Yan; Xing, Shun-Peng; Zhu, Ming-Li; Gao, Yuan; Li, Wen.
Afiliación
  • Peng JC; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
  • Wu Y; Department of Critical Care, Shanghai Baoshan Luodian Hospital, 121 Luoxi Road, Baoshan District, Shanghai, 201908, China.
  • Xing SP; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
  • Zhu ML; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
  • Gao Y; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China.
  • Li W; Department of Critical Care, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, China. rj_liwen@163.com.
Clin Exp Nephrol ; 27(11): 951-960, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37498349
BACKGROUND: There are no universally accepted indications to initiate renal replacement therapy (RRT) among patients with acute kidney injury (AKI). This study aimed to develop a nomogram to predict the risk of RRT among AKI patients in intensive care unit (ICU). METHODS: In this retrospective cohort study, we extracted AKI patients from Medical Information Mart for Intensive Care III (MIMIC-III) database. Patients were randomly divided into a training cohort (70%) and a validation cohort (30%). Multivariable logistic regression based on Akaike information criterion was used to establish the nomogram. The discrimination and calibration of the nomogram were evaluated by Harrell's concordance index (C-index) and Hosmer-Lemeshow (HL) test. Decision curve analysis (DCA) was performed to evaluate clinical application. RESULTS: A total of 7413 critically ill patients with AKI were finally enrolled. 514 (6.9%) patients received RRT after ICU admission. 5194 (70%) patients were in the training cohort and 2219 (30%) patients were in the validation cohort. Nine variables, namely, age, hemoglobin, creatinine, blood urea nitrogen and lactate at AKI detection, comorbidity of congestive heart failure, AKI stage, and vasopressor use were included in the nomogram. The predictive model demonstrated satisfying discrimination and calibration with C-index of 0.938 (95% CI, 0.927-0.949; HL test, P = 0.430) in training set and 0.935 (95% CI, 0.919-0.951; HL test, P = 0.392) in validation set. DCA showed a positive net benefit of our nomogram. CONCLUSION: The nomogram developed in this study was highly accurate for RRT prediction with potential application value.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nomogramas / Lesión Renal Aguda Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Exp Nephrol Asunto de la revista: NEFROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Japón
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nomogramas / Lesión Renal Aguda Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Clin Exp Nephrol Asunto de la revista: NEFROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Japón