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A Nomogram to Identify Hyperkalemia Risk in Patients with Advanced CKD
Cheng Xue1, Chenchen Zhou1, Bo Yang2
1Department of Nephrology, Changzheng Hospital, Shanghai, China.
Insights
A nomogram was developed to predict hyperkalemia risk in advanced chronic kidney disease (CKD) patients. This tool helps identify individuals needing closer monitoring for this common, life-threatening complication.
Area of Science:
- Nephrology
- Internal Medicine
- Cardiology
Background:
- Hyperkalemia is a frequent and dangerous complication in patients with chronic kidney disease (CKD).
- Predicting hyperkalemia risk is crucial for timely intervention in advanced CKD.
- Current risk stratification methods for hyperkalemia in CKD require improvement.
Purpose of the Study:
- To develop and validate a predictive nomogram for hyperkalemia (serum potassium ≥5.5 mmol/L) in advanced CKD patients.
- To identify key risk factors associated with hyperkalemia development within a 6-month period.
- To create a tool for risk assessment aiding clinical decision-making.
Main Methods:
- A retrospective cohort study involving 847 adult patients with predialysis advanced CKD (stage ≥3) from 2020-2021.
- Multivariable logistic regression was used to build a nomogram based on identified risk factors.
- The nomogram's performance was assessed using C-statistics, calibration curves, and decision curve analysis (DCA), with internal and external validation.
Main Results:
- Hyperkalemia occurred in 28% of patients within 6 months.
- Independent risk factors included older age (≥75 years), higher CKD stages, prior hyperkalemia (serum potassium ≥5.0 mmol/L within 3 months), and comorbidities (heart failure, diabetes, metabolic acidosis).
- The nomogram demonstrated good predictive performance with a C-statistic of 0.76, validated across multiple datasets.
Conclusions:
- A validated nomogram and online calculator can effectively assess 6-month hyperkalemia risk in advanced CKD.
- This tool can aid in identifying high-risk patients who may benefit from intensive monitoring and early intervention.
- The nomogram provides a valuable tool for managing hyperkalemia in CKD patients.
Background:
Hyperkalemia is a common and life-threatening complication of CKD. We aimed to develop and validate a nomogram that could identify the risk of hyperkalemia (≥5.5 mmol/L) in patients with CKD.
Methods:
A retrospective cohort study was performed in adult patients with predialysis advanced CKD (stages ≥3) in 2020-2021 for the outcome of hyperkalemia within 6 months. The training set was used to identify risk factors of hyperkalemia. Then a nomogram was developed by multivariable logistic regression analysis. C-statistics, calibration curves, and decision curve analysis (DCA) were used, and the model was validated in the internal and two external validation sets.
Results:
In total, 847 patients with advanced CKD were included. In 6 months, 28% of patients had hyperkalemia (234 out of 847). Independent risk factors were: age ≥75 years, higher CKD stages, previous event of serum potassium ≥5.0 mmol/L within 3 months, and comorbidities with heart failure, diabetes, or metabolic acidosis. Then the nomogram on the basis of the risk factors adding the use of renin-angiotensin-aldosterone system inhibitors was constructed. The C-statistic of the model was 0.76 (95% CI, 0.70 to 0.78), and was stable in both the internal validation set (0.73; 95% CI, 0.63 to 0.82) and external validation sets (0.88; 95% CI, 0.84 to 0.95 and 0.82; 95% CI, 0.72 to 0.92). Calibration curves and DCA analysis both found good performances of the nomogram.
Conclusion:
A feasible nomogram and online calculator were developed and validated to evaluate the risk of hyperkalemia within 6 months in patients with advanced CKD. Patients with CKD and a high risk of hyperkalemia may benefit from intensive monitoring and early triage.
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