Severe leukocytopenia due to copper deficiency induced by zinc supplementation in a patient on peritoneal dialysis: a case report.

Zinc deficiency is one cause of anemia. However, it has been reported that some patients who were treated with zinc supplementation to resolve this anemia subsequently experienced copper deficiency, which lead to continued anemia, as well as leukocytopenia and other symptoms. However, only two patients with copper deficiency induced by zinc supplementation undergoing peritoneal dialysis have been reported. Here, we report the case of a 59 year-old man with copper deficiency after zinc supplementation undergoing peritoneal dialysis (PD). He took meals only once a day and drank about 750 mL/day of wine every day. He had been receiving zinc supplementation for 4 months. He was diagnosed with severe leukocytopenia and worsening anemia at a planned outpatient visit; in addition, his copper levels had markedly decreased. Thus, zinc supplementation was discontinued, and the patient was instructed to take cocoa for copper supplementation. Because of severe leukocytopenia, he was admitted to our hospital, and granulocyte colony-stimulating factor was administered. Red blood cell transfusions were performed for anemia. After discontinuing zinc supplementation, his white blood cell count and hemoglobin levels improved.To avoid Cu deficiency, patients' dietary history should be checked in detail and Cu should be monitored carefully when Zn is supplemented in patients undergoing PD.

A Formula for the Estimation of 24-Hour Urinary Creatinine Excretion: A Derivation and Validation Study.

OBJECTIVE: Twenty-four-hour urinary creatinine (Cr) excretion (24h-uCr) is the basis of Cr clearance and urinary protein-Cr ratio, and it is related to frailty, worsening kidney function, and mortality in patients with chronic kidney disease. Although subjects with lower estimated glomerular filtration rate (eGFR) tend to have lower 24h-uCr, previous formulae for the estimation of 24h-uCr did not include Cr as a predictor. METHODS: This retrospective study included patients admitted to the Department of Nephrology at our hospital (derivation cohort and validation cohort: patients admitted between April 2016 and March 2020). The prediction formula of 24h-uCr was calculated using a multivariate linear regression model with the bootstrap method. Age, height, weight, sex, Cr, and cystatin C were used as predictors. RESULTS: The derivation and validation cohorts included 187 and 63 patients, respectively. The characteristics of the derivation and validation cohorts were as follows: age 73 (61-79.5) years and 70 (58.5-79) years; males, 61.5% and 60.3%; eGFRCr 27.0 (13.7-48.6) mL/min/1.73 m2 and 26.3 (14.0-51.5) mL/min/1.73 m2; and 24-hour urinary protein excretion 0.79 (0.17-2.12) g/day and 1.08 (0.26-2.55) g/day, respectively. Seven prediction formulae were derived. In all models, the Pearson's correlation coefficient was relatively high and statistically significant. However, previous models tended to overestimate the 24h-uCr. Furthermore, the predicted 24h-uCr calculated by the models that do not include Cr as a predictor fluctuates depending on the eGFRCr. CONCLUSION: The best formula for predicting 24h-uCr (mg/day) in a wide range of eGFR populations is a Cr-containing formula: [-9.04 × age (years) + 8.03 × weight (kg) + 0.66 × height (cm) + 188.59 (if male) - 32.11 × Cr (mg/dL) + 779.14].