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[Development of a hyperkalemia risk assessment model for patients with chronic kidney disease].
Mei, C L; Chen, X N; Hao, C M; Hu, Z; Jiang, H L; Li, G S; Liu, B C; Liu, H; Liu, Z S; Xing, C Y; Yao, L; Yu, C; Yuan, W J; Zuo, L.
Afiliación
  • Mei CL; Department of Nephrology, Changzheng Hospital, Shanghai 200003, China.
  • Chen XN; Department of Nephrology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Hao CM; Department of Nephrology, Huashan Hospital Affiliated to Fudan University, Shanghai 200041, China.
  • Hu Z; Department of Nephrology, Qilu Hospital, Shandong University, Jinan 250012, China.
  • Jiang HL; Department of Blood Purification, the First Affiliated Hospital of Xi'an Jiao Tong University, Xi'an 710061, China.
  • Li GS; Department of Nephrology, Sichuan Provincial People's Hospital, Chengdu 610072, China.
  • Liu BC; Department of Nephrology, Zhongda Hospital Affiliated to Southeast University, Nanjing 210009, China.
  • Liu H; Department of Nephrology, the Second Xiangya Hospital of Central South University, Changsha 410001, China.
  • Liu ZS; Department of Nephropathy Rheumatology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
  • Xing CY; Department of Nephrology, Jiangsu Provincial People's Hospital, Nanjing 210029, China.
  • Yao L; Department of Nephrology, the First Affiliated Hospital of China Medical University, Shenyang 110001, China.
  • Yu C; Department of Nephrology, Tongji Hospital, Tongji University, Shanghai 200065, China.
  • Yuan WJ; Department of Nephrology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
  • Zuo L; Department of Nephrology, Peking University People's Hospital, Beijing 100044, China.
Zhonghua Yi Xue Za Zhi ; 100(44): 3498-3503, 2020 Dec 01.
Article en Zh | MEDLINE | ID: mdl-33256291
Objective: To investigate risk factors for hyperkalemia among chronic kidney disease (CKD) patients and establish a risk assessment model for predicting hyperkalemia events. Methods: Clinical data of CKD patients (stage 3 to 5) hospitalized between May 2017 and June 2020 from 14 hospitals were retrospectively collected and divided into training dataset and validation dataset through balanced random sampling. Multivariate logistic regression analysis was used to analyze risk factors for hyperkalemia in CKD patients and the factors were scored. Receiver operating characteristic (ROC) curve was plotted and the area under the curve (AUC) was calculated. Meanwhile, the cut-off value with the best sensitivity and specificity were used to verify the accuracy of the model in validation dataset. Results: A total of 847 CKD patients were enrolled and further divided into training dataset (n=675) and validation dataset (n=172). There were 555 males and 292 females, with a mean age of (57.2±15.6) years. Multivariate logistic regression analysis showed that age, CKD stage, history of heart failure, history of serum potassium ≥5.0 mmol/L, diabetes, metabolic acidosis, and use of medications that increase serum potassium levels were risk factors for causing hyperkalemia in patients with CKD. Risk assessment model was established based on these risk factors. The AUC of the ROC curve was 0.809. Using 4 as the cut-off value, the sensitivity and specificity for predicting hyperkalemia events reached 87.1% and 57.0%, respectively. Conclusion: The model established in the current study can be used for predicting hyperkalemia events in clinical practices, which offers a new way to optimize serum potassium management in patients with CKD.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Insuficiencia Renal Crónica / Hiperpotasemia Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: Zh Revista: Zhonghua Yi Xue Za Zhi Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Insuficiencia Renal Crónica / Hiperpotasemia Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: Zh Revista: Zhonghua Yi Xue Za Zhi Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: China