外周血RDW、NLR、FAR、SP-A检测对慢性阻塞性肺疾病患者病情及急性加重风险的评估价值
收稿日期: 2024-05-21
网络出版日期: 2024-11-25
基金资助
保定市科技计划项目(2241ZF183)
Values of peripheral blood RDW, NLR, FAR and SP⁃A in evaluating patient condition and risks of acute exacerbation of COPD
Received date: 2024-05-21
Online published: 2024-11-25
目的 分析外周血红细胞分布宽度(RDW)、中性粒细胞(NEU)和淋巴细胞(LYM)比值(NLR)、纤维蛋白原(FIB)与白蛋白(ALB)比值(FAR)、肺表面活性蛋白A(SP-A)检测对慢性阻塞性肺疾病(chronic obstructive pulmonary disease, COPD)患者病情及急性加重风险的评估价值。 方法 选取2021年1月至2023年12月河北大学附属医院收治的200例COPD患者为研究对象,均在近3个月内于该院门诊复诊,依据有无急性加重分为加重组(n = 96)、未加重组(n = 104),另选择同期体检的健康志愿者50例作为对照组,对比三组外周血RDW、NEU、LY、FIB、ALB、SP-A,并计算NLR、FAR,分析RDW、NLR、FAR、SP-A随AECOPD病情的变化及相关性,绘制ROC曲线分析RDW、NLR、FAR、SP-A评估COPD急性加重风险的价值,多因素logistic回归法分析AECOPD的危险因素,同时比较不同预后者的RDW、NLR、FAR、SP-A差异。 结果 加重组外周血RDW、NEU、NLR、FIB、FAR、SP-A高于未加重组,而LYM、ALB低于未加重组(P < 0.05);AECOPD Ⅲ级患者RDW、NLR、FAR、SP-A较Ⅱ级、Ⅰ级者更高,Ⅱ级患者RDW、NLR、FAR、SP-A高于Ⅰ级患者(P < 0.05);AECOPD患者RDW、NLR、FAR、SP-A、病情分级两两呈正相关(P < 0.05);RDW、NLR、FAR、SP-A联合预测AECOPD的敏感度、ROC曲线下面积分别为0.798、0.830(95%CI:0.738 ~ 0.922),均优于各指标单独诊断;多因素分析发现,吸烟、RDW > 14.33%、NLR > 2.80、FAR > 0.08、SP-A > 2.21 ng/mL为COPD患者病情急性加重的危险因素(P < 0.05);出院后30 d内再入院组RDW、NLR、FAR、SP-A高于未再入院组(P < 0.05)。 结论 RDW、NLR、FAR、SP-A与COPD病情有密切关系,可预测患者急性加重风险及预后,临床可加以监测。
关键词: 红细胞分布宽度; 中性粒细胞/淋巴细胞比值; 纤维蛋白原/白蛋白比值; 肺表面活性蛋白A; 慢性阻塞性肺疾病; 病情; 急性加重
刘丽君 , 李翔云 , 杨娅娟 . 外周血RDW、NLR、FAR、SP-A检测对慢性阻塞性肺疾病患者病情及急性加重风险的评估价值[J]. 实用医学杂志, 2024 , 40(22) : 3244 -3250 . DOI: 10.3969/j.issn.1006-5725.2024.22.021
Objective To analyze the values of peripheral blood red blood cell distribution width (RDW), neutrophil (NEU) to lymphocyte (LYM) ratio (NLR), fibrinogen (FIB) to albumin (ALB) ratio (FAR) and surfactant protein A (SP-A) in evaluating patient condition and risks of acute exacerbation of COPD. Methods A total of 200 patients with COPD admitted to Hebei University Affiliated Hospital from January 2021 to December 2023 were selected as study subjects. All the patients had follow-up visits in the outpatient department within the past three months. According to the presence or absence of acute exacerbation, they were divided into exacerbation group (n = 96) and non-exacerbation group (n = 104). Meanwhile, 50 healthy volunteers were assigned to a control group. Peripheral blood RDW, NEU, LY, FIB, ALB and SP-A in the three groups were compared. NLR and FAR were calculated. The correlation of RDW, NLR, FAR, and SP-A with the severity of AECOPD was analyzed. ROC curves were used to analyze the values of RDW, NLR, FAR, and SP-A in evaluating the risks of acute exacerbation of COPD. Multivariate logistic regression analysis was conducted to identify the risk factors for AECOPD. The differences in RDW, NLR, FAR, and SP-A were compared among the patients with different prognoses. Results Peripheral blood RDW, NEU, NLR, FIB, FAR and SP-A were higher in the exacerbation group than in the non-exacerbation group, whereas LYM and ALB were lower (P < 0.05). Levels of RDW, NLR, FAR and SP-A were higher in the patients with grade Ⅲ AECOPD than those with grade Ⅱ or grade Ⅰ AECOPD (P < 0.05). RDW, NLR, FAR, SP-A, and grade of patient condition in patients with AECOPD were positively correlated in pairs (P < 0.05). The sensitivity, specificity and area under the ROC curve of combined prediction of AECOPD using RDW, NLR, FAR and SP-A were 0.798 and 0.830 (95%CI: 0.738 ~ 0.922), all of which were superior to prediction using a single indicator. Multivariate analysis found that smoking, RDW > 14.33%, NLR > 2.80, FAR > 0.08, and SP-A > 2.21 ng/mL were risk factors for acute exacerbation of COPD (P < 0.05). RDW, NLR, FAR, and SP-A in the readmission group within 30 days after discharge were higher than those in the non-readmission group (P < 0.05). Conclusions RDW, NLR, FAR, and SP-A are closely related to the patient condition of COPD, and can help to predict the risk of acute exacerbation and prognosis. Therefore, they are worthy of monitoring in clinical practice.
| 1 | ADELOYE D, SONG P G, ZHU Y J, et al. Global, regional, and national prevalence of, and risk factors for, chronic obstructive pulmonary disease (COPD) in 2019:A sys-tematic review and modelling analysis[J]. Lancet, 2022, 10(5):447-458. doi:10.1016/s2213-2600(21)00511-7 |
| 2 | 韩慧,徐平,宋卫东. 高龄慢性阻塞性肺疾病稳定期患者近期急性加重风险预测模型构建[J]. 实用医学杂志,2023,39(22):2984-2988. doi:10.3969/j.issn.1006-5725.2023.22.022 |
| 3 | ZHU M, PENG H, WAN L, et al. The role of elevated?red?blood?cell?distribution?width?in the prognosis of?AECOPD?patients:A retrospective study[J]. Medicine (Baltimore), 2021, 100(10):e25010. doi:10.1097/md.0000000000025010 |
| 4 | RAMYA P A, MOHAPATRA M M, SAKA V K, et al. Haematological and inflammatory biomarkers among stable COPD and acute exacerbations of COPD Patients[J]. Sultan Qaboos Univ Med J, 2023, 23(2):239-244. |
| 5 | ?IM?EK F, YEVGI R. Assessment of fibrinogen albumin ratio in patients with pregnancy-related cerebral venous thrombosis[J]. Acta Neurol Belg, 2023, 123(6):2251-2258. doi:10.1007/s13760-023-02294-y |
| 6 | KING S D, CHEN S Y. Recent progress on surfactant protein A:Cellular function in lung and kidney disease development[J]. Am J Physiol Cell Physiol, 2020, 319(2):C316-C320. doi:10.1152/ajpcell.00195.2020 |
| 7 | HALPIN D M G, CRINER G J, PAPI A, et al. Global initiative for the diagnosis, management, and prevention of chronic obstructive lung disease.The 2020 GOLD science committee report on covid-19 and chronic obstructive pulmonary disease[J]. Am J Respir Crit Care Med, 2021, 203(1):24-36. doi:10.1164/rccm.202009-3533so |
| 8 | 张艺,黄奋飞,徐旭燕. 慢性阻塞性肺疾病患者血清基质金属蛋白酶?9和金属蛋白酶抑制剂?1的表达及其对肺血管重塑的预测价值[J]. 实用医学杂志,2023,39(7):849-854. |
| 9 | ZINELLU A, MANGONI A A.The emerging clinical significance of the red cell distribution width as a biomarker in?chronic?obstructive?pulmonary?disease: A systematic review[J]. J Clin Med, 2022, 11(19):5642. doi:10.3390/jcm11195642 |
| 10 | RAMíREZ-ZAVALETA C Y, GARCíA-BARRERA L J, RODRíGUEZ-VERáSTEGUI L L, et al. An overview of prr- and?nlr-mediated immunities: Conserved signaling components across the plant kingdom that communicate both pathways[J]. Int J Mol Sci, 2022, 23(21):12974. doi:10.3390/ijms232112974 |
| 11 | MAKKAR K, SHARMA Y P, BATTA A, et al. Role of?fibrinogen,?albumin?and fibrinogen to albumin?ratio?in determining angiographic severity and outcomes in acute coronary syndrome[J]. World J Cardiol, 2023, 15(1):13-22. doi:10.4330/wjc.v15.i1.13 |
| 12 | 杨丹,王亮,万宗仁. 乙酰半胱氨酸对慢性阻塞性肺疾病急性加重期患者气道重塑及SP-A、SP-D影响[J]. 中国急救复苏与灾害医学杂志,2021,16(7):774-777. |
| 13 | 张丹,亓磊,陈彦路,等. 红细胞分布宽度动态变化对慢性阻塞性肺疾病急性加重期患者出院后30d内再入院的预测价值[J]. 实用心脑肺血管病杂志,2023,31(10):16-20. |
| 14 | BAI Y, TAO X N. Mean platelet volume combined red cell distribution width as biomarker of?chronic?obstructive?pulmonary?disease?with?pulmonary?heart?disease[J]. Clin Respir J, 2020, 14(12):1122-1130. doi:10.1111/crj.13248 |
| 15 | 李术环,徐慧莲,郝秋红. PCT、D-D、NLR、Cys-C与慢性阻塞性肺疾病急性加重期患者的相关性及对预后的预测价值[J]. 中华保健医学杂志,2023,25(4):426-428. |
| 16 | 刘娜,赵然然. 乙酰半胱氨酸辅助治疗慢性阻塞性肺疾病急性加重期的临床分析[J]. 中华肺部疾病杂志(电子版),2020,13(2):174-178. |
| 17 | 马晶晶,孙波,郭翔,等. FAR、NLR、PLR及其联合应用对慢性阻塞性肺疾病急性加重的预测价值[J]. 解放军医学杂志,2022,47(6):599-606. |
| 18 | 刘玉花,马奎军,樊晓雁,等. PLR、NLR、CRP与老年AECOPD患者病情严重程度、近期预后的关系[J]. 现代生物医学进展,2023,23(15):2947-2950,2995. |
| 19 | ALPARSLAN BEKIR S, TUNCAY E, GUNGOR S,et al. Can red blood cell distribution width (RDW) level predict the severity of acute exacerbation of chronic obstructive pulmonary disease (AECOPD)?[J]. Int J Clin Pract, 2021, 75(11):e14730. doi:10.1111/ijcp.14730 |
| 20 | MEYER C M, KHAN A M, ALCORN J L. Impact of surfactant protein-a on immunomodulatory properties of murine and human breast milk[J]. J Pediatr Gastroenterol Nutr, 2022, 75(1):97-103. doi:10.1097/mpg.0000000000003458 |
| 21 | LIU H, QIU G, HU F,et al. Fibrinogen/albumin ratio index is an independent predictor of recurrence-free survival in patients with intrahepatic cholangiocarcinoma following surgical resection[J]. World J Surg Oncol, 2021, 19(1):218. doi:10.1186/s12957-021-02330-2 |
| 22 | GUTTA L, SHANKARAPPA M, AHMED T. NLR and PLR ratios-accessible and affordable predictors of disease severity in COPD[J]. J Assoc Physicians India, 2022, 70(4):11-12. |
| 23 | LAN W, LIU E, SUN D,et al. Red cell distribution in critically ill patients with chronic obstructive pulmonary disease[J]. Pulmonology, 2024, 30(1):34-42. doi:10.1016/j.pulmoe.2022.04.001 |
| 24 | ZHANG S, LI X, MA H,et al. Relationship between Antithrombin III Activity and Mortality in Patients with Acute Exacerbation of?Chronic?Obstructive?Pulmonary?Disease[J]. COPD, 2022, 19(1):353-364. doi:10.1080/15412555.2022.2106200 |
| 25 | KOKELJ S, KIM J L, ANDERSSON M,et al. Intra-individual variation of particles in exhaled air and of the contents of Surfactant protein A and albumin[J]. PLoS One, 2020, 15(1):e0227980. doi:10.1371/journal.pone.0227980 |
| 26 | 周旭东,吴吉星,夏杰. 慢性阻塞性肺疾病患者急性加重影响因素及血清分泌型卷曲相关蛋白1和Clara细胞分泌蛋白对其预测价值[J]. 陕西医学杂志,2023,52(9):1168-1171,1176. |
| 27 | NAN W, LI S, WAN J, et al. Association of mean?RDW?values and changes in?RDW?with in-hospital mortality in ventilator-associated pneumonia (VAP): Evidence from MIMIC-IV database[J]. Int J Lab Hematol, 2024, 46(1):99-106. doi:10.1111/ijlh.14192 |
| 28 | 谢勇,杨丽霞,莫尚尧,等. N/LPR对AECOPD患者28天死亡预测价值研究[J]. 西部医学,2022,34(8):1222-1225. |
| 29 | DAI L L, CHEN C, WU J, et al. The predictive value of fibrinogen-to-albumin ratio in the active, severe active, and poor prognosis of systemic lupus erythematosus:A single-center retrospective study[J]. J Clin Lab Anal, 2022, 36(9):e24621. doi:10.1002/jcla.24621 |
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