Department of Internal Medicine, Sakarya University Medicine Faculty, Sakarya, Turkey.
Eur Rev Med Pharmacol Sci. 2022 Apr;26(8):2900-2905. doi: 10.26355/eurrev_202204_28621.
Inflammation forms the basis of cancer development and progression. It causes changes in complete blood count parameters, such as neutrophil counts. Low albumin levels are associated with poor prognosis in cancer patients. We aimed to investigate the association between neutrophil to albumin ratio (NAR) and the stage of non-small cell lung cancer (NSCLC).
257 NSCLC patients (24 females and 198 males) were included in the study. Patients were divided into two groups. Group 1 (n=61) included patients with early stage cancer (stage 1 and 2), while group 2 (n=196) included those with advanced stage cancer (stage 3 and 4). Demographic data, neutrophil, lymphocyte, platelet, white blood cell counts (WBC), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), ferritin and albumin levels at the time of diagnosis were recorded. The NAR of 2 groups were compared.
There were no significant differences between the lymphocyte count (2.0 vs. 2.0 103/mm3) and platelet count (291 vs. 311 103/mm3) of the two groups (p > 0.05). ESR (38.8 vs. 57.5 mm/h), CRP (158 vs. 57 mg/l), ferritin (85 vs. 261 ng/ml), WBC count (8.6 vs. 10.6 103/mm3), neutrophil count (5.6 vs. 7.5 103/mm3), albumin values (2.9 vs. 3.7 gr/dl), and (p < 0.05) NAR levels (1.6 vs. 2.3) (p < 0.05) were significantly higher in group 2.
NAR can be used in predicting the stage of NSCLC.
炎症是癌症发展和进展的基础。它会引起全血细胞计数参数的变化，例如中性粒细胞计数。低白蛋白水平与癌症患者的预后不良相关。我们旨在研究中性粒细胞与白蛋白比值（NAR）与非小细胞肺癌（NSCLC）分期之间的关系。
本研究纳入了 257 例 NSCLC 患者（24 名女性和 198 名男性）。患者被分为两组。第 1 组（n=61）包括早期癌症（1 期和 2 期）患者，而第 2 组（n=196）包括晚期癌症（3 期和 4 期）患者。记录诊断时的人口统计学数据、中性粒细胞、淋巴细胞、血小板、白细胞计数（WBC）、C 反应蛋白（CRP）、红细胞沉降率（ESR）、铁蛋白和白蛋白水平。比较两组的 NAR。
两组间淋巴细胞计数（2.0 与 2.0×103/mm3）和血小板计数（291 与 311×103/mm3）无显著差异（p>0.05）。ESR（38.8 与 57.5mm/h）、CRP（158 与 57mg/l）、铁蛋白（85 与 261ng/ml）、WBC 计数（8.6 与 10.6×103/mm3）、中性粒细胞计数（5.6 与 7.5×103/mm3）、白蛋白值（2.9 与 3.7g/dl）和 NAR 水平（1.6 与 2.3）（p<0.05）均显著更高。
NAR 可用于预测 NSCLC 的分期。
