Evidence map›Paper›PMID 41766748›Full record

ArticleFrontiers in surgery2025

Influencing factors and risk prediction nomogram model construction of hyperkalemia during kidney transplantation.

Kun Dong, Guanmiao Chen, Yongyuan Jian, Ruiling Su, Junze Chen, Cheng Zhang, Kaiyong Huang, Xuelin Tan, Bo Peng, Ping Huang and 2 more

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Article in Frontiers in surgery, 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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5 · Who and what money

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12 authors.

Kun Dong *Dalian Medical University, Dalian, China.
Guanmiao Chen *Department of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yongyuan Jian *Department of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Ruiling SuDepartment of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Junze ChenDepartment of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Cheng ZhangDepartment of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Kaiyong HuangDepartment of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xuelin TanDepartment of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Bo PengDepartment of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Ping HuangDepartment of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Chunqiang DongDepartment of Organ Transplantation, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Hongwei YangOrgan Transplant Center, Northern Theater Command General Hospital, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the risk factors of hyperkalemia during kidney transplantation, and to construct the prediction model of nomogram. Methods: 162 cases of renal transplant patients in our hospital from January 2020 to September 2024 were included. The clinical data of the patients were retrospectively analyzed. According to whether hyperkalemia occurred during the operation, the patients were divided into non hyperkalemia group and hyperkalemia group. The related factors of hyperkalemia in renal transplant patients were analyzed by multivariate logistic regression, and the nomogram model was constructed. Results: Among 162 renal transplant patients, 59 cases (36.42%) had high potassium during operation. Univariate analysis showed that the pre-operative blood potassium, pulse pressure, and hemodialysis time of the high potassium group were higher than those of the non high potassium group, and the pH value of the high potassium group was lower than that of the non high potassium group, the difference was statistically significant ( Conclusions: High preoperative serum potassium, low preoperative pH, high pulse pressure, and long hemodialysis time are the risk factors of hyperkalemia in renal transplantation. According to the risk factors, constructing nomogram model to predict hyperkalemia in renal transplantation has high clinical value.

Indexed as

hyperkalaemiakidney transplantationnomogrampredictive modelrisk factors

Identifiers

PMID41766748
PMCPMC12935895

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