Prevalence and treatment of anemia in chronic kidney disease patients based on regional medical big data / 中华流行病学杂志

Objective: To assess the prevalence, risk factors and treatment of anemia in patients with chronic kidney disease (CKD). Methods: A descriptive method was used to analyze the prevalence and treatment of anemia in CKD patients based on regional health data in Yinzhou District of Ningbo during 2012-2018. The multivariate logistic regression analysis was used to identify independent influence factors of anemia in the CKD patients. Results: In 52 619 CKD patients, 15 639 suffered from by anemia (29.72%), in whom 5 461 were men (26.41%) and 10 178 were women (31.87%), and anemia prevalence was higher in women than in men, the difference was significant (P<0.001). The prevalence of anemia increased with stage of CKD (24.77% in stage 1 vs. 69.42% in stage 5, trend χ2 test P<0.001). Multivariate logistic regression analysis revealed that being women (aOR=1.57, 95%CI: 1.50-1.63), CKD stage (stage 2: aOR=1.10, 95%CI: 1.04-1.16;stage 3: aOR=2.28,95%CI: 2.12-2.44;stage 4: aOR=4.49,95%CI :3.79-5.32;stage 5: aOR=6.31,95%CI: 4.74-8.39), age (18-30 years old: aOR=2.40,95%CI: 2.24-2.57, 61-75 years old: aOR=1.35,95%CI:1.28-1.42, ≥76 years old: aOR=2.37,95%CI:2.20-2.55), BMI (<18.5 kg/m2:aOR=1.29,95%CI: 1.18-1.41;23.0-24.9 kg/m2:aOR=0.79,95%CI: 0.75-0.83;≥25.0 kg/m2:aOR=0.70,95%CI: 0.66-0.74), abdominal obesity (aOR=0.91, 95%CI: 0.86-0.96), chronic obstructive pulmonary disease (aOR=1.15, 95%CI: 1.09-1.22), cancer (aOR=3.03, 95%CI: 2.84-3.23), heart failure (aOR=1.44, 95%CI: 1.35-1.54) and myocardial infarction (aOR=1.54, 95%CI:1.16-2.04) were independent risk factors of anemia in CKD patients. Among stage 3-5 CKD patients with anemia, 12.03% received iron therapy, and 4.78% received treatment with erythropoiesis-stimulating agent (ESA) within 12 months after anemia was diagnosed. Conclusions: The prevalence of anemia in CKD patients was high in Yinzhou. However, the treatment rate of iron therapy and ESA were low. More attention should be paid to the anemia management and treatment in CKD patients.

Impact of anemia and chronic kidney disease on the risk of cardiovascular disease and all-cause mortality among diabetic patients / 北京大学学报(医学版)

OBJECTIVE@#To explore the association between anemia and cardiovascular disease and all-cause mortality among diabetic patients, and whether the association is modified by the presence of chronic kidney disease (CKD).@*METHODS@#Physical examination data of 8 563 patients with diabetes who met the inclusion and exclusion criteria between 2010 and 2011 were collected, based on the prospective cohort data of Kailuan study. The deadline of the follow-up was December 31, 2015, and the endpoints comprised all-cause mortality and cardiovascular disease. Survival analysis was performed by Kaplan-Meier method. Cox proportional hazards regression model was used to assess the association between anemia with or without CKD, and cardiovascular events and all-cause mortality after adjustment for confounding factors.@*RESULTS@#The average age of the subjects was (57.3±10.3) years, of whom the patients with anemia accounted for 5.2%. The proportion of the patients with anemia combined with CKD was higher than that of the patients without anemia (27.2% vs. 20.8%, P=0.001). The median follow-up time was 4.9 years (interquartile range: 4.6-5.2 years). During the follow-up period, 559 patients died, and 434 patients had cardiovascular disease. Compared with the patients without anemia, the all-cause mortality rate of the patients with anemia was higher (3 220.3/100 000 person-years vs. 1 257.9/100 000 person-years, P<0.001). There was no statistically significant difference in the incidence of cardiovascular disease between the above two groups (999.8/100 000 person-years vs. 1 081.2/100 000 person-years, P>0.05). The mortality and incidence of cardiovascular disease among the patients with CKD were higher than those of the patients without CKD (2 558.3/100 000 person-years vs. 1 044.0/100 000 person-years, P<0.001; 1 605.9/100 000 person-years vs. 941.6/100 000 person-years, P<0.001). Results of Cox regression model showed that, after adjustment for confounding factors, the all-cause mortality risk increased by 95% in the diabetic patients with anemia (HR=1.95, 95% CI: 1.50-2.54). Anemia and CKD significantly increased the mortality risk among diabetic patients (HR=3.61, 95% CI: 2.48-5.26). The CKD patients without anemia had an increased risk of cardiovascular disease (HR=1.41, 95% CI: 1.13-1.74).@*CONCLUSION@#Anemia is associated with an increased mortality risk in Chinese diabetic patients. Patients with CKD have an increased risk of cardiovascular disease and mortality. The all-cause mortality risk increases significantly in anemia patients with the presence of CKD, which indicates that we should focus on the prevention and treatment of diabetic patients with anemia and CKD.

Analyzing urinary proteome patterns of metabolic syndrome patients with early renal injury by magnet bead separation and matrix-assisted laser desorption ionization time-of-flight mass spectrometry / 中国医学科学院学报

<p><b>OBJECTIVE</b>To determine the potential urinary biomarkers of metabolic syndrome (MS) with early renal injury and establish diagnostic models by magnetic bead-based separation and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS).</p><p><b>METHODS</b>Participants were selected from the epidemiologic study on MS and renal involvement among residents in Pinggu district, Beijing. Eight-hour overnight urine samples were fractionated by means of magnetic bead-based weak cation exchange chromatography and subsequently analyzed with MALDI-TOF-MS. Wilcoxon test and random forests were used to screen differential protein peaks of MS patients with early renal injury, then combined with genetic algorithm and support vector machine, respectively, to establish diagnostic models.</p><p><b>RESULTS</b>Totally 54 cases of MS without renal injury and 46 cases of MS with early renal injury were enrolled. Totally twenty protein peaks were up-regulated in the urine of MS patients with early renal injury by Wilcoxon test (P < 0.05); random forests algorithm revealed twelve protein peaks up-regulated in the urine of MS patients with early renal injury (importance value of mean decrease in accuracy > 0.005). Genetic algorithm based model showed 82.6% sensitivity, 84.3% specificity, and 83.5% accuracy by a 10-fold cross-validation in identifying MS patients with early renal injury; correspondingly, the support vector machine based model reported 89.2% sensitivity, 81.1% specificity and 85.5% accuracy. Four protein peaks were included in two diagnostic models with mass-to-charge ratios of 2756.98, 3019.11, 9077.04, and 10 054.26.</p><p><b>CONCLUSIONS</b>The urinary proteome patterns of MS with early renal injury were successfully established with magnetic bead-based separation and MALDI-TOF-MS technology. A series of urinary differential expressing protein peaks were identified with bioinformatics tools. Diagnostic models combining cluster of protein peaks are capable of differentiating MS patients with early renal injury from those without renal injury. The different urine protein excretion patterns revealed in this study provide urinary candidate biomarkers of MS patients with early renal injury for future identification and biological roles investigation.</p>