Division of Population Health and Genomics, Ninewells Hospital, University of Dundee, Dundee, UK.
Biodemography of Aging Research Unit, Duke University, Durham, NC, 27708-0408, USA.
BMC Med. 2023 Aug 10;21(1):304. doi: 10.1186/s12916-023-02976-7.
Diabetic retinopathy (DR) is a major sight-threatening microvascular complication in individuals with diabetes. Systemic inflammation combined with oxidative stress is thought to capture most of the complexities involved in the pathology of diabetic retinopathy. A high level of neutrophil-lymphocyte ratio (NLR) is an indicator of abnormal immune system activity. Current estimates of the association of NLR with diabetes and its complications are almost entirely derived from cross-sectional studies, suggesting that the nature of the reported association may be more diagnostic than prognostic. Therefore, in the present study, we examined the utility of NLR as a biomarker to predict the incidence of DR in the Scottish population.
The incidence of DR was defined as the time to the first diagnosis of R1 or above grade in the Scottish retinopathy grading scheme from type 2 diabetes diagnosis. The effect of NLR and its interactions were explored using a competing risks survival model adjusting for other risk factors and accounting for deaths. The Fine and Gray subdistribution hazard model (FGR) was used to predict the effect of NLR on the incidence of DR.
We analysed data from 23,531 individuals with complete covariate information. At 10 years, 8416 (35.8%) had developed DR and 2989 (12.7%) were lost to competing events (death) without developing DR and 12,126 individuals did not have DR. The median (interquartile range) level of NLR was 2.04 (1.5 to 2.7). The optimal NLR cut-off value to predict retinopathy incidence was 3.04. After accounting for competing risks at 10 years, the cumulative incidence of DR and deaths without DR were 50.7% and 21.9%, respectively. NLR was associated with incident DR in both Cause-specific hazard (CSH = 1.63; 95% CI: 1.28-2.07) and FGR models the subdistribution hazard (sHR = 2.24; 95% CI: 1.70-2.94). Both age and HbA were found to modulate the association between NLR and the risk of DR.
The current study suggests that NLR has a promising potential to predict DR incidence in the Scottish population, especially in individuals less than 65 years and in those with well-controlled glycaemic status.
糖尿病视网膜病变(DR)是糖尿病患者主要的威胁视力的微血管并发症。全身性炎症与氧化应激相结合,被认为是捕捉到糖尿病性视网膜病变病理的大部分复杂性。中性粒细胞与淋巴细胞比值(NLR)水平较高是免疫系统活动异常的一个指标。目前,关于 NLR 与糖尿病及其并发症的相关性的评估几乎完全来自于横断面研究,这表明报告的相关性的性质可能更多的是诊断性的,而不是预测性的。因此,在本研究中,我们检测了 NLR 作为生物标志物预测苏格兰人群 DR 发生率的效用。
DR 的发生率定义为从 2 型糖尿病诊断到苏格兰视网膜分级方案中首次诊断为 R1 或以上级别的时间。使用竞争风险生存模型,通过调整其他危险因素并考虑死亡情况,探索 NLR 及其相互作用的效果。采用 Fine 和 Gray 亚分布风险模型(FGR)预测 NLR 对 DR 发生率的影响。
我们分析了 23531 名具有完整协变量信息的个体的数据。在 10 年内,8416 人(35.8%)发生了 DR,2989 人(12.7%)因竞争事件(死亡)而失去了无 DR 发生的机会,12126 人未发生 DR。NLR 的中位数(四分位距)水平为 2.04(1.5 至 2.7)。预测视网膜病变发生率的最佳 NLR 截断值为 3.04。在考虑到 10 年内的竞争风险后,DR 和无 DR 的累积发生率分别为 50.7%和 21.9%。在特异性原因风险(CSH)模型(CSH=1.63;95%CI:1.28-2.07)和 FGR 亚分布风险模型(sHR=2.24;95%CI:1.70-2.94)中,NLR 与 DR 的发生均相关。年龄和 HbA 均被发现可调节 NLR 与 DR 风险之间的关联。
本研究表明,NLR 有望预测苏格兰人群 DR 的发生率,尤其是在年龄小于 65 岁和血糖控制良好的个体中。