Jiang Ming, Zhang Qingrong, Zhang Chuwei, Li Zihan, Li Qiqi, Qu Xun, Zhang Yi, Hu Kesu
Department of Burn and Plastic Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Nantong University Medical School, Nantong, Jiangsu, China.
Emerg Med Int. 2023 Sep 7;2023:6694313. doi: 10.1155/2023/6694313. eCollection 2023.
The extensive burns devastate trauma. The research was designed to analyse the predictive value of early platelet (PLT) indices on the development of acute kidney injury (AKI) after severe burns.
186 patients with xtensive burns (burn area ≥30%) were eventually involved. Multivariate analyses pointed out that platelet distribution width (PDW) in the first 24 h after admission was an independent risk factor for AKI, severe AKI, and RRT requirement in patients with severe burns, and AKI risk showed an increase of 30.9% per increase of 1% in PDW (OR = 1.309, CI, 1.075-1.594, and = 0.007). It was found that the area under the ROC curve (AUC) of PDW predicting AKI was 0.735 and that the AUC value was 0.81 for AKI after combining PDW and blood urea nitrogen (BUN). Based on the cut-off value PDW = 17.7%, patients were divided into high- (PDW ≥17.7%) and low-risk (PDW <17.7%) groups. In the KM analysis, there was a higher cumulative incidence of AKI if patients were in a high-risk group (in 30 days); and the stages of AKI showed a linear upward trend (chi-square test for linear trend < 0.001) as there was an increase in the risk level.
The PDW level in the early stage serves as an important risk factor for AKI, severe AKI, and RRT requirement in extensive burns. When PDW >17.7%, burn patients are not only at a higher risk for AKI but may also have higher AKI severity. Due to low cost and wide availability, PDW has the potential to be the tool that can predict AKI in extensive burn patients.
大面积烧伤会造成严重创伤。本研究旨在分析早期血小板(PLT)指标对严重烧伤后急性肾损伤(AKI)发生的预测价值。
最终纳入186例大面积烧伤(烧伤面积≥30%)患者。多因素分析指出,入院后24小时内的血小板分布宽度(PDW)是严重烧伤患者发生AKI、严重AKI及需要肾脏替代治疗(RRT)的独立危险因素,PDW每增加1%,AKI风险增加30.9%(OR = 1.309,CI,1.075 - 1.594,P = 0.007)。发现PDW预测AKI的ROC曲线下面积(AUC)为0.735,将PDW与血尿素氮(BUN)联合后预测AKI的AUC值为0.81。根据PDW = 17.7%的临界值,将患者分为高风险(PDW≥17.7%)和低风险(PDW < 17.7%)组。在KM分析中,高风险组患者(30天内)AKI的累积发病率更高;随着风险水平的增加,AKI分期呈线性上升趋势(线性趋势的卡方检验P < 0.001)。
早期PDW水平是大面积烧伤患者发生AKI、严重AKI及需要RRT的重要危险因素。当PDW > 17.7%时,烧伤患者不仅发生AKI的风险更高,而且AKI严重程度可能也更高。由于成本低且易于获得,PDW有可能成为预测大面积烧伤患者AKI的工具。