Background The impact of p -cresyl sulfate (PCS) and indoxyl sulfate (IS) on the prognosis of patients with uremia remains controversial. We performed a prospective study on peritoneal dialysis (PD) to investigate the relationship between PCS or IS levels with clinical outcomes. Methods This prospective cohort study investigated the association of serum PCS and IS with clinical outcomes in patients undertaking PD. We performed a correlations analysis to explore the influencing factors of PCS an IS. Meta-analysis was conducted to objectively evaluate the prognostic effects of PCS and IS on different stages of CKD patients. Results A total of 127 patients were enrolled consecutively and followed with an average period of 51.3 months. Multivariate Cox regression showed that serum total PCS not only contributed to the occurrence of PD failure event (HR: 1.05, 95% CI = 1.02 to 1.07, p < 0.001), but also increased the risk of cardiovascular event (HR: 1.08, 95% CI = 1.04 to 1.13, p < 0.001) and PD-associated peritonitis (HR: 1.04, 95% CI = 1.02 to 1.08, p = 0.001). Dividing the total PCS level by 18.99 mg/L, which was calculated from the best cutoff value of the ROC curve, patients with total PCS higher than 18.99 mg/L had worse prognosis. Meta-analysis confirmed its value in cardiovascular event in PD. Conclusion The serum total PCS concentration was a detrimental factor for higher PD failure event, cardiovascular event, and PD-associated peritonitis. It could be used as an innovative marker in predicting poor clinical outcome in PD.
Background This network meta-analysis investigated the effect of various combined regimens of sodium-glucose cotransporter-2 inhibitors (SGLT2is) and renin-angiotensin-aldosterone system inhibitors (RAASis) on the occurrence of hyperkalemia in diabetic kidney disease. Methods The risk of hyperkalemia was compared using the random-effects model of network meta-analysis, with results expressed as odds ratios (ORs) with 95% confidence intervals (CIs). The comparative effects of all medications and their combinations with placebo were ranked using the surface under the cumulative ranking probabilities. Results In total, 27 eligible studies involving 43,589 participants with diabetic kidney disease were included. Major findings showed that the use of mineralocorticoid receptor antagonists (MRAs) on top of angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) prominently increased hyperkalemia incidence when compared with placebo (OR, 6.08; 95% CI, 2.30 to 16.08), ACEI (OR, 3.07; 95% CI, 1.14 to 8.31), ARB (OR, 2.57; 95% CI, 1.10 to 6.02), SGLT2i (OR, 9.22; 95% CI, 2.99 to 28.46), renin inhibitors+ACEI/ARB (OR, 2.23; 95% CI, 1.14 to 4.36), or SGLT2i+ACEI/ARB (OR, 4.10; 95% CI, 2.32 to 7.26). Subgroup analysis among different generations of MRA found that spironolactone had the strongest effect in combination with ACEI/ARB, even higher than the combined use of ACEI and ARB (OR, 2.89; 95% CI, 1.26 to 6.63). In addition, SGLT2i had a significantly lower incidence of hyperkalemia compared with ACEI (OR, 0.33; 95% CI, 0.12 to 0.91), ARB (OR, 0.28; 95% CI, 0.13 to 0.61), dual RAASi (ACEI combined with ARB; OR, 0.17; 95% CI, 0.06 to 0.47), or MRA or renin inhibitors combined with ACEI/ARB (OR, 0.11; 95% CI, 0.04 to 0.33; OR, 0.24; 95% CI, 0.08 to 0.76, respectively.). Moreover, adding SGLT2i to the combination of MRA and ACEI/ARB, as well as the combinations of different RAASis, markedly reduced the occurrence of hyperkalemia. Conclusions Among the therapeutic drugs with the potential risk of increasing serum potassium in patients with diabetic kidney disease, MRA added an extra risk of hyperkalemia while SGLT2i had the opposite effect and could even reverse the elevation of serum potassium caused by the combined regimen, including MRAs.
Background: Hyperkalemia is a common and life-threatening complication of chronic kidney disease (CKD). We aimed to develop and validate a nomogram that could identify the risk of hyperkalemia (≥ 5.5 mmol/L) in CKD patients. Methods: A retrospective cohort study was performed in adult patients with pre-dialysis 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: 847 advanced CKD patients were included. In 6 months, 27.6% of patients had hyperkalemia (234/847). 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 based on the risk factors adding the use of renin-angiotensin-aldosterone system inhibitors was constructed. The C-statistic of the model was 0.757 (95% CI 0.698-0.783), and was stable in both the internal validation set (0.732, 95% CI 0.632-0.818) and external validation sets (0.878, 95% CI 0.843-0.950 and 0.817, 95% CI 0.718-0.915). 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 advanced CKD patients. CKD patients with a high risk of hyperkalemia may benefit from intensive monitoring and early triage.
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