切换至 "中华医学电子期刊资源库"

中华肺部疾病杂志(电子版) ›› 2025, Vol. 18 ›› Issue (03) : 385 -389. doi: 10.3877/cma.j.issn.1674-6902.2025.03.008

论著

红细胞分布宽度动态变异性与慢性阻塞性肺疾病急性加重期患者再入院风险的相关性
程辉1, 钱震东1, 吴征斌1, 王静静1,(), 周伟1, 邹圣泉1, 张蕾1, 朱天智1   
  1. 1. 244000 铜陵,铜陵市立医院呼吸与危重症医学科
  • 收稿日期:2025-03-04 出版日期:2025-06-25
  • 通信作者: 王静静
  • 基金资助:
    铜陵市科技计划项目(20200203043)

Correlation between the dynamic variability of red blood cell distribution width and the readmission risk of patients with acute exacerbation of chronic obstructive pulmonary disease

Hui Cheng1, Zhendong Qian1, Zhengbin Wu1, Jingjing Wang1,(), Wei Zhou1, Shengquan Zou1, Lei Zhang1, Tianzhi Zhu1   

  1. 1. Department of Respiratory and Critical Care Medicine,Tongling Municipal Hospital,Tongling 244000,China
  • Received:2025-03-04 Published:2025-06-25
  • Corresponding author: Jingjing Wang
引用本文:

程辉, 钱震东, 吴征斌, 王静静, 周伟, 邹圣泉, 张蕾, 朱天智. 红细胞分布宽度动态变异性与慢性阻塞性肺疾病急性加重期患者再入院风险的相关性[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(03): 385-389.

Hui Cheng, Zhendong Qian, Zhengbin Wu, Jingjing Wang, Wei Zhou, Shengquan Zou, Lei Zhang, Tianzhi Zhu. Correlation between the dynamic variability of red blood cell distribution width and the readmission risk of patients with acute exacerbation of chronic obstructive pulmonary disease[J/OL]. Chinese Journal of Lung Diseases(Electronic Edition), 2025, 18(03): 385-389.

目的

分析红细胞分布宽度(red blood cell distribution width,RDW)动态变异性与慢性阻塞性肺疾病急性加重期(acute exacerbation of chronic obstructive pulmonary disease,AECOPD)患者再入院风险的相关性。

方法

选择2021 年1 月至2023 年12 月我院收治的96 例AECOPD 患者,根据入院第1 d、第4 d 的RDW 动态变化分为正常组30 例、降低组32 例和升高组34 例。 采集患者基础疾病、白细胞(white blood cell,WBC)等参数;采用Logistic 回归分析AECOPD 患者出院后30 d 再入院风险因素,通过受试者工作特征曲线(receiver operating characteristic curve,ROC)预测。

结果

与正常组、降低组相比,升高组出院后30 d 再入院12 例(35.29%)、白细胞(white blood cell,WBC)水平(8.26±1.95)×109/L、C 反应蛋白(C reactive protein,CRP)水平高(30.76±6.31)mg/L,血红蛋白(hemoglobin,Hb)水平(116.18±21.47)g/L 低(P<0.05)。 单因素Logistic 回归分析显示,酸碱度(pondus hydrogenii,pH)<7.35(OR=4.364,95% CI:1.435~13.269)、WBC(OR=1.456,95% CI:1.020 ~2.077)、CRP(OR=1.139,95% CI:1.006~1.291)及RDW 动态升高(OR=10.263,95% CI:2.081~50.619)是AECOPD 患者出院后30 d 再入院的影响因素(P<0.05);多因素Logistic 回归分析显示,pH<7.35(OR=9.610,95% CI:1.799 ~51.340)、CRP(OR=1.249,95% CI:1.050 ~.486)及RDW 动态升高(OR= 27.417,95% CI:3.385 ~222.054)是AECOPD 患者出院后30 d 再入院的危险因素(P<0.05)。 ROC 曲线分析显示,pH<7.35、CRP 水平、RDW动态变化预测再入院风险曲线下面积(area under curve,AUC)95%CI 分别为0.639(0.489~0.790)、0.597(0.431~0.763)、0.733(0.609 ~0.857),敏感度为42.10%、31.60%、68.40%,特异度为85.70%、96.10%、74.00%。

结论

RDW 动态升高、pH<7.35 及CRP 水平是AECOPD 患者出院后30 d 再入院的危险因素。RDW 动态变化可预测再入院风险,提前识别高风险患者,制定个体化、针对性干预措施,降低AECOPD患者短期内再入院率,改善预后。

Objective

To analyze the correlation between dynamic variability in red blood cell distribution width (RDW) and the risk of readmission in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD).

Methods

A total of 96 AECOPD patients admitted to our hospital from January 2021 to December 2023 were enrolled and divided into three groups based on dynamic RDW changes on day 1 and day 4 of admission:normal group (30 cases),decreased group (32 cases),and elevated group(34 cases). Clinical parameters,including comorbidities and white blood cell (WBC) levels,were collected.Logistic regression was used to analyze risk factors for 30 day readmission after discharge,and receiver operating characteristic curve(ROC) were employed to predict prognosis.

Results

Compared to the normal and decreased groups,the elevated group had 12 cases (35.29%) of 30 day readmission,higher WBC levels(8.26±1.95 )×109/L,higher C-reactive protein (CRP) levels (30.76±6.31 )mg/L,and lower hemoglobin(Hb) levels (116.18±21.47 ) g/L (P<0.05). Univariate logistic regression analysis revealed that pH<7.35(OR=4.364,95% CI:1.435~13.269),WBC (OR=1.456,95% CI:1.020~2.077),CRP(OR=1.139,95% CI:1.006~1.291),and dynamic RDW elevation (OR=10.263,95% CI:2.081 ~50.619) were significant predictors of 30 day readmission (P<0.05). Multivariate logistic regression analysis identified pH<7.35 (OR=9.610,95% CI:1.799~51.340),CRP(OR=1.249,95% CI:1.050 ~1.486),and dynamic RDW elevation(OR=27.417,95% CI:3.385~222.054) as independent risk factors for 30-day readmission (P<0.05). ROC curve analysis showed that pH <7.35,CRP levels,and dynamic RDW changes had areas under the curve(AUC) of 0.639(0.489 ~0.790),0.597(0.431 ~0.763),and 0.733(0.609 ~0.857),with sensitivities of 42.10%,31. 60%,and 68. 40%,and specificities of 85. 70%,96. 10%,and 74. 00%,respectively.

Conclusion

Dynamic elevation of RDW,pH<7.35,and CRP levels are risk factors for 30 day readmission in AECOPD patients. Monitoring dynamic RDW changes can help predict readmission risk,identify high-risk populations early,and guide personalized interventions to reduce short-term readmission rates and improve prognosis.

表1 每组AECOPD 患者临床资料比较
表2 AECOPD 患者再入院的Logistic 回归分析
表3 AECOPD 患者再入院风险ROC 曲线分析
1
李香荷,罗 青,唐 娜,等. 1990~2019 年中国慢性阻塞性肺疾病死亡负担及变化情况分析[J]. 中国循环杂志,2023,38(6):681-686.
2
赵创艺,袁空军,杨 媛,等. 基于ARIMA 与NNAR 模型的中国慢性阻塞性肺疾病疾病负担预测研究[J]. 中国全科医学,2022,25(16):1942-1949.
3
Alvarez-romero C,Martinez-garcia A,Ternero Vega J,et al.Predicting 30-Day readmission risk for patients with chronic obstructive pulmonary disease through a federated machine learning architecture on findable,accessible,interoperable,and reusable (FAIR) data:Development and validation study[J]. JMIR Med Inform,2022,10(6):e35307.
4
Waeijen-smit K,Crutsen M,Keene S,et al. Global mortality and readmissionratesfollowingCOPDexacerbation-related hospitalisation:a meta-analysis of 65 945 individual patients[J].ERJ Open Res,2024,10(1):00838-02023.
5
Wang J,He X,Jiang D,et al. Evaluation of red blood cell distribution width-platelet ratio as a predictor of adverse pregnancy outcomes and disease severity in systemic lupus erythematosus [J]. Clin Rheumatol,2022,41(10):2987-2993.
6
Owoicho O,Tapela K,Olwal CO,et al. Red blood cell distribution width as a prognostic biomarker for viral infections:prospects and challenges[J]. Biomark Med,2022,16(1):41-50.
7
Namazi G,Heidar Beygi S,Vahidi MH,et al. Relationship between red cell distribution width and oxidative stress indexes in patients with coronary artery disease[J]. Rep Biochem Mol Biol,2023,12(2):241-250.
8
Zhang Y,Lv Z,Peng P,et al. Association between red blood cell distribution width and psoriasis among the US adults[J]. Front Med(Lausanne),2023,10(1):1290514.
9
Yigit Ayhan E,Pinar IE,Ozkocaman V,et al. Red cell distribution width at diagnosis reflects advanced disease while dynamic changes predict survival at relapse in multiple myeloma:A retrospective study[J]. Cureus,2024,16(12):e75662.
10
Dixit S,Arora JK,Kumar R,et al. Role of routine blood parameters in predicting mortality among surgical patients with sepsis[J].Cureus,2023,15(4):e37413.
11
Deng X,Gao B,Wang F,et al. Red blood cell distribution width is associated with adverse kidney outcomes in patients with chronic kidney disease[J]. Front Med (Lausanne),2022,9(1):877220.
12
程炜炜,张 青,张诚实,等. 全身免疫炎症指数与慢性阻塞性肺疾病急性加重期病情严重程度相关性分析[J/CD]. 中华肺部疾病杂志(电子版),2024,17(4):580-584.
13
Ren X,Wang Y,He R,et al. Mortality and readmission risk for hospitalised patients with acute exacerbation of COPD with and without spirometric obstruction:a longitudinal observational study in China[J]. BMJ Open,2023,13(6):e071560.
14
Sobczak K,Nowinka P,Wochna K,et al. The effects of nordic walking with poles with an integrated resistance shock absorber on red blood cell distribution and cardiorespiratory efficiency in postmenopausal women-a randomized controlled trial[J]. Biology(Basel),2023,12(2):179.
15
Eldem I,Almekdash MH,Almadani O,et al.Red blood cell distribution width as a potential inflammatory marker in pediatric osteomyelitis[J]. Proc (Bayl Univ Med Cent),2023,36(4):443-447.
16
Yang Y,Wang Q,Gao L,et al. Promising applications of red cell distribution width in diagnosis and prognosis of diseases with or without disordered iron metabolism[J]. Cell Biol Int,2023,47(7):1161-1169.
17
Huang S,Zhang H,Zhuang Z,et al. Propensity score analysis of red cell distribution width to serum calcium ratio in acute myocardial infarction as a predictor of in-hospital mortality[J]. Front Cardiovasc Med,2023,10(1):1292153.
18
Wu L,Zhang J,Zhang HM,et al. Study on red blood cell distribution width in children with severe Mycoplasma pneumoniae pneumonia[J]. Biomark Med,2024,18(2):69-77.
19
Aslam H,Oza F,Ahmed K,et al. The role of red cell distribution width as a prognostic marker in chronic liver disease:A literature review[J]. Int J Mol Sci,2023,24(4):3487.
20
Cazzola M,Hanania NA,Page CP,et al. Novel anti-inflammatory approaches to COPD[J]. Int J Chron Obstruct Pulmon Dis,2023,18(1):1333-1352.
21
Yu Y,Miao TW,Xiao W,et al. Andrographolide attenuates NLRP3 inflammasome activation and airway inflammation in exacerbation of chronic obstructive pulmonary disease[J]. Drug Des Devel Ther,2024,18(1):1755-1770.
22
周 齐,于少腾. RDW、PCT、CRP、MPV/PLT 对AECOPD 患者预后的预测价值[J]. 中国基层医药,2023,30(2):167-171.
23
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30 d 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.
24
Chen F,Jin Q,Zhang Y,et al. Dynamic change in red cell distribution width as a predictor for short-time mortality in dermatomyositis-associated rapid progressive interstitial lung disease[J]. RMD Open,2024,10(2):e003931.
25
马苗苗. COPD 合并肺心病患者凝血、血气分析变化与预后的相关性探讨[J]. 航空航天医学杂志,2024,35(9):1067-1070.
26
熊 锋,娄建丽. 慢性阻塞性肺疾病急性加重期预后的临床分析[J/CD]. 中华肺部疾病杂志(电子版),2023,16(4):550-553.
27
Zhu M,Dai L,Wan L,et al. Dynamic increase of red cell distribution width predicts increased risk of 30-day readmission in patients with acute exacerbation of chronic obstructive pulmonary disease[J]. Int J Chron Obstruct Pulmon Dis,2021,16(1):393-400.
28
Dukic V,Muršic D,Popovic Grle S,et al.Monocyte-related hematological indices in acute exacerbations of chronic obstructive pulmonary disease-a new biomarker? [J]. Monaldi Arch Chest Dis,2023,94(3):DOI:10.4081/monaldi.2023.2706.
29
Gandhi R,Kalsariya V,Katara R,et al. Sarcopenia,eosinophil-toplatelet ratio,and C-reactive protein as predictors of adverse events in patients with acute exacerbations of chronic obstructive pulmonary disease:A prospective observational study[J]. Cureus,2024,16(3):e56651.
30
Liu C,Zheng C,Shen X,et al. Serum CRP interacts with SPARC and regulate immune response in severe cases of COVID-19 infection[J]. Front Immunol,2023,14(1):1259381.
[1] 尤宁, 秦卫, 徐斌, 彭一莲, 杨小玉. 慢性阻塞性肺疾病并发重症社区获得性肺炎预后风险预测[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(03): 479-482.
[2] 王丹, 王昌锋, 王丽, 綦彬, 叶媛媛, 范浩. 慢性阻塞性肺疾病患者认知功能减退与睡眠呼吸暂停程度临床分析[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(03): 390-394.
[3] 吴春兴, 廖庆, 杨海玲, 袁海娟, 彭小林, 张峰, 范日升, 谢良骏. 低剂量SPECT/CT 肺灌注显像诊断慢性阻塞性肺疾病并发肺栓塞的安全性及有效性分析[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(03): 350-354.
[4] 沈月秋, 曹梦琳, 许梅杰, 吴敏丹, 吴凯怡, 陆琳娟. 基于可解释机器学习预测慢性阻塞性肺疾病患者急性加重风险研究[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(03): 380-384.
[5] 宋春雪, 王亮亮, 袁玺, 徐庚辰, 刘柳, 马银娟, 丁琦, 魏霞. 中性粒细胞/淋巴细胞比值在不同血嗜酸性粒细胞水平慢性阻塞性肺疾病急性加重患者中的临床意义[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(03): 416-422.
[6] 张丽丽, 韩志海, 张春阳, 陈韦, 康奕欣, 张燕, 孟激光, 丁毅伟, 丁静, 崔俊昌. 纤维化性结缔组织病相关间质性肺疾病进展的危险因素分析[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(03): 434-441.
[7] 符凤妹, 方锋凯, 符妹垂, 谢五菊, 许振良, 胡燕燊. 慢性阻塞性肺疾病经胸超声弹性成像特征与病情相关性分析[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(02): 256-260.
[8] 游通, 黄渝茹, 刘英, 罗兴艳, 罗琴. 慢性阻塞性肺疾病缓解期规律与不规律药物使用对疗效的影响分析[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(02): 321-325.
[9] 马萧, 张飞虎, 李登山, 何全明, 王丽. 组合式呼吸训练联合盐酸氨溴索对慢性阻塞性肺疾病的影响分析[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(02): 326-329.
[10] 陈晨, 裴永坚, 黄永康, 周童. AECOPD 患者血清CCN1、ECP、GSH-Px 与肺功能及免疫相关性分析[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(01): 23-28.
[11] 张彧超, 皋青青, 杨洋, 冉大伟, 周运海, 浦明之. 中医中药清肺化痰逐瘀汤治疗AECOPD 患者的临床疗效分析[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(01): 36-41.
[12] 陈莹玉, 刘学妮, 吴梅, 赵婷婷, 刘永飞. 重症监护的AECOPD 患者嗜酸性粒细胞-中性粒细胞比值的临床意义[J/OL]. 中华肺部疾病杂志(电子版), 2025, 18(01): 48-54.
[13] 赵顺, 韩小阳, 赵亭亭. 术前营养状态及术后早期全身免疫炎症指数、C 反应蛋白/白蛋白比值、NLR 与食管癌术后吻合口瘘的相关性[J/OL]. 中华消化病与影像杂志(电子版), 2025, 15(03): 235-239.
[14] 昌淑婷, 陈明明, 许云鹏, 韩雪, 陈秋雨, 刘健. 血清电解质水平与慢性阻塞性肺疾病急性加重患者一年内再入院的相关性[J/OL]. 中华临床医师杂志(电子版), 2025, 19(02): 117-128.
[15] 戴子喻, 谢斌, 吴院波, 陈琼. 慢性阻塞性肺疾病合并衰弱的研究进展[J/OL]. 中华老年病研究电子杂志, 2025, 12(01): 1-6.
阅读次数
全文


摘要


AI


AI小编
你好!我是《中华医学电子期刊资源库》AI小编,有什么可以帮您的吗?