Punatar Chirag, Jadhav Kunal, Kumar Vikash, Joshi Vinod, Sagade Sharad
PD Hinduja National Hospital and Medical Research Centre, Mumbai, Maharshtra, India.
Perm J. 2019;23:18-044. doi: 10.7812/TPP/18-044.
We studied the value of neutrophil:lymphocyte ratio (NLR) in predicting the success of nephron-sparing procedures in management of emphysematous pyelonephritis.
In this single-center retrospective study, patients underwent nephron-sparing procedures between 2007 and 2014. Severity was graded by Huang-Tseng classification. Thrombocytopenia, acute renal failure (ARF), shock, altered sensorium, and admission NLR were evaluated for predictive value for successful outcomes. Receiver operating characteristic curves were plotted to determine optimal cutoff of NLR for differentiating successful and unsuccessful outcomes. Two-sided p values were calculated with the χ test. Factors that were significant on univariate analysis were combined in a model with NLR.
Sixteen patients, 14 (87.5%) of whom were female and 14 (87.5%) of whom had diabetes, were included. Ten (63%) had severe emphysematous pyelonephritis. The optimal cutoff of NLR was 5. Four (44%) of 9 patients with NLR above 5 had unfavorable outcomes compared with none of 7 with NLR of 5 or less, giving a risk ratio of 1.8 (95% confidence interval [CI]= 1.01-3.22, p = 0.0417). Area under the curve for NLR alone was 0.77 (95% CI = 0.55-0.99, p = 0.014). High NLR and ARF were the only factors predicting unsuccessful outcome (p = 0.0417 each). When these were combined in a model (NLR as continuous variable), the area under the curve increased to 0.92.
NLR is a useful predictive marker in emphysematous pyelonephritis. Its predictive value increases when combined with presence or absence of ARF. In patients with high NLR and ARF, the threshold for considering nephrectomy should be low.
我们研究了中性粒细胞与淋巴细胞比值(NLR)在预测保留肾单位手术治疗气肿性肾盂肾炎成功率方面的价值。
在这项单中心回顾性研究中,纳入了2007年至2014年间接受保留肾单位手术的患者。严重程度采用黄曾分类法进行分级。评估血小板减少症、急性肾衰竭(ARF)、休克、意识改变和入院时的NLR对成功结局的预测价值。绘制受试者工作特征曲线以确定用于区分成功和不成功结局的NLR最佳临界值。采用χ检验计算双侧p值。将单因素分析中有显著意义的因素与NLR纳入一个模型。
共纳入16例患者,其中14例(87.5%)为女性,14例(87.5%)患有糖尿病。10例(63%)患有严重气肿性肾盂肾炎。NLR的最佳临界值为5。NLR高于5的9例患者中有4例(44%)预后不佳,而NLR为5或更低的7例患者均无不良预后,风险比为1.8(95%置信区间[CI]=1.01-3.22,p=0.0417)。单独NLR的曲线下面积为0.77(95%CI=0.55-0.99,p=0.014)。高NLR和ARF是预测预后不佳的唯一因素(各p=0.0417)。当将这些因素纳入一个模型(NLR作为连续变量)时,曲线下面积增加至0.92。
NLR是气肿性肾盂肾炎中一个有用的预测指标。当与ARF的有无相结合时,其预测价值增加。对于NLR高且伴有ARF的患者,考虑行肾切除术的阈值应较低。