Ma Xiao-Ying, Sheng Yu-Ping, Yang Xing-Meng, Zhang Hao-Ran, Sun Fu-Yun
Department of Nephrology, Cangzhou Central Hospital, Cangzhou 061000, Hebei Province, China.
World J Diabetes. 2023 Sep 15;14(9):1385-1392. doi: 10.4239/wjd.v14.i9.1385.
Diabetic nephropathy (DN) is frequently seen in the development of diabetes mellitus, and its pathogenic factors are complicated. Its current treatment is controversial, and there is a lack of a relevant efficacy prediction model.
To determine the effects of paricalcitol combined with hemodiafiltration on bone-metabolism-related indexes in patients with DN and chronic renal failure (CRF), and to construct an efficacy prediction model.
We retrospectively analyzed 422 patients with DN and CRF treated in Cangzhou Central Hospital between May 2020 and May 2022. We selected 94 patients who met the inclusion and exclusion criteria. Patients were assigned to a dialysis group ( = 45) and a joint group ( = 49) in relation to therapeutic regimen. The clinical efficacy of the two groups was compared after treatment. The changes in laboratory indexes after treatment were evaluated, and the two groups were compared for the incidence of adverse reactions. The predictive value of laboratory indexes on the clinical efficacy on patients was analyzed.
The dialysis group showed a notably worse improvement in clinical efficacy than the joint group ( = 0.017). After treatment, the joint group showed notably lower serum levels of serum creatinine, uric acid (UA) and blood urea nitrogen (BUN) than the dialysis group ( < 0.05). After treatment, the joint group had lower serum levels of phosphorus, procollagen type I amino-terminal propeptide (PINP) and intact parathyroid hormone than the dialysis group, but a higher calcium level ( < 0.001). Both groups had a similar incidence of adverse reactions ( > 0.05). According to least absolute shrinkage and selection operator regression analysis, UA, BUN, phosphorus and PINP were related to treatment efficacy. According to further comparison, the non-improvement group had higher risk scores than the improvement group ( < 0.0001), and the area under the curve of the risk score in efficacy prediction was 0.945.
For treatment of CRF and DN, combined paricalcitol and hemodiafiltration can deliver higher clinical efficacy and improve the bone metabolism of patients, with good safety.
糖尿病肾病(DN)在糖尿病发展过程中较为常见,其致病因素复杂。目前其治疗存在争议,且缺乏相关疗效预测模型。
确定帕立骨化醇联合血液透析滤过对DN合并慢性肾衰竭(CRF)患者骨代谢相关指标的影响,并构建疗效预测模型。
回顾性分析2020年5月至2022年5月在沧州市中心医院治疗的422例DN合并CRF患者。选取94例符合纳入和排除标准的患者。根据治疗方案将患者分为透析组(n = 45)和联合组(n = 49)。比较两组治疗后的临床疗效。评估治疗后实验室指标的变化,并比较两组不良反应的发生率。分析实验室指标对患者临床疗效的预测价值。
透析组临床疗效改善明显低于联合组(P = 0.017)。治疗后,联合组血清肌酐、尿酸(UA)和血尿素氮(BUN)水平明显低于透析组(P < 0.05)。治疗后,联合组血清磷、Ⅰ型前胶原氨基端前肽(PINP)和全段甲状旁腺激素水平低于透析组,但血钙水平较高(P < 0.001)。两组不良反应发生率相似(P > 0.05)。根据最小绝对收缩和选择算子回归分析,UA、BUN、磷和PINP与治疗疗效相关。进一步比较显示,未改善组的风险评分高于改善组(P < 0.0001),疗效预测中风险评分的曲线下面积为0.945。
对于CRF和DN的治疗,帕立骨化醇联合血液透析滤过可提高临床疗效,改善患者骨代谢,安全性良好。