| 1 |
Singer M, Deutschman CS, Seymour CW, et al. The third international consensus definitions for sepsis and septic shock (sepsis-3)[J]. JAMA, 2016, 315 (8): 801-810.
|
| 2 |
Iba T, Levy JH. Sepsis-induced coagulopathy and disseminated intravascular coagulation[J]. Anesthesiology, 2020, 132 (5): 1238-1245.
|
| 3 |
Liu D, Huang SY, Sun JH, et al. Sepsis-induced immunosuppression: mechanisms, diagnosis and current treatment options[J]. Mil Med Res, 2022, 9 (1): 56.
|
| 4 |
Rudd KE, Johnson SC, Agesa KM, et al. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study[J]. Lancet, 2020, 395 (10219): 200-211.
|
| 5 |
Xie J, Wang H, Kang Y, et al. The epidemiology of sepsis in Chinese ICUs: a national cross-sectional survey[J]. Crit Care Med, 2020, 48 (3): e209-e218.
|
| 6 |
Seymour CW, Gesten F, Prescott HC, et al. Time to treatment and mortality during mandated emergency care for sepsis[J]. N Engl J Med, 2017, 376 (23): 2235-2244.
|
| 7 |
Munroe ES, Hyzy RC, Semler MW, et al. Evolving management practices for early sepsis-induced hypoperfusion: a narrative review[J]. Am J Respir Crit Care Med, 2023, 207 (10): 1283-1299.
|
| 8 |
Kataria Y, Remick D. Sepsis biomarkers[J]. Methods Mol Biol, 2021, 2321: 177-189.
|
| 9 |
Reddy V, Reddy H, Gemnani R, et al. Navigating the complexity of scoring systems in sepsis management: a comprehensive review[J]. Cureus, 2024, 16 (2): e54030.
|
| 10 |
Evans L, Rhodes A, Alhazzani W, et al. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021[J]. Crit Care Med, 2021, 49 (11): e1063-e1143.
|
| 11 |
Pierrakos C, Velissaris D, Bisdorff M, et al. Biomarkers of sepsis: time for a reappraisal[J]. Crit Care, 2020, 24 (1): 287.
|
| 12 |
张怡，宗媛，武敏，等.脓毒症患者血常规动态变化及预后相关性分析[J].重庆医学，2018，47（35）：4548-4550.
|
| 13 |
杨志钊，杨山虹，黄福达，等.红细胞分布宽度在小细胞低色素性贫血中的意义[J].检验医学，2010，25（4）：283-285.
|
| 14 |
Hu ZD, Lippi G, Montagnana M. Diagnostic and prognostic value of red blood cell distribution width in sepsis: a narrative review[J]. Clin Biochem, 2020, 77: 1-6.
|
| 15 |
Yousefi B, Sanaie S, Ghamari AA, et al. Red cell distribution width as a novel prognostic marker in multiple clinical studies[J]. Indian J Crit Care Med, 2020, 24 (1): 49-54.
|
| 16 |
Salvagno GL, Sanchis-Gomar F, Picanza A, et al. Red blood cell distribution width: a simple parameter with multiple clinical applications[J]. Crit Rev Clin Lab Sci, 2015, 52 (2): 86-105.
|
| 17 |
Alghamdi M. Red blood cell distribution width: a potential inexpensive marker for disease activity in patients with rheumatic diseases; scoping review[J]. Open Access Rheumatol, 2023, 15: 173-180.
|
| 18 |
Arkew M, Gemechu K, Haile K, et al. Red blood cell distribution width as novel biomarker in cardiovascular diseases: a literature review[J]. J Blood Med, 2022, 13: 413-424.
|
| 19 |
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.
|
| 20 |
Park SH, Park CJ, Lee BR, et al. Sepsis affects most routine and cell population data (CPD) obtained using the Sysmex XN-2000 blood cell analyzer: neutrophil-related CPD NE-SFL and NE-WY provide useful information for detecting sepsis[J]. Int J Lab Hematol, 2015, 37 (2): 190-198.
|
| 21 |
范致远，冯梦晓，陆远强.轻中度感染性疾病患者进展为脓毒症的相关危险因素分析[J/OL].中华危重症医学杂志（电子版），2022，15（3）：189-197.
|
| 22 |
Fan YW, Liu D, Chen JM, et al. Fluctuation in red cell distribution width predicts disseminated intravascular coagulation morbidity and mortality in sepsis: a retrospective single-center study[J]. Minerva Anestesiol, 2021, 87 (1): 52-64.
|
| 23 |
Wang H, Huang J, Liao W, et al. Prognostic value of the red cell distribution width in patients with sepsis-induced acute respiratory distress syndrome: a retrospective cohort study[J]. Dis Markers, 2021, 2021: 5543822.
|
| 24 |
Wu H, Liao B, Cao T, et al. Diagnostic value of RDW for the prediction of mortality in adult sepsis patients: a systematic review and meta-analysis[J]. Front Immunol, 2022, 13: 997853.
|
| 25 |
Gremmel T, Frelinger AL 3rd, Michelson AD. Platelet physiology[J]. Semin Thromb Hemost, 2024, 50 (8): 1173-1186.
|
| 26 |
Xu X, Wang Y, Tao Y, et al. The role of platelets in sepsis: a review[J]. Biomol Biomed, 2024, 24 (4): 741-752.
|
| 27 |
赵继伟，曾志芬，曾红华，等.成人脓毒症患者骨髓细胞学特征的研究[J/OL].中华危重症医学杂志（电子版），2022，15（1）：14-21.
|
| 28 |
Lambden S, Laterre PF, Levy MM, et al. The SOFA score—development, utility and challenges of accurate assessment in clinical trials[J]. Crit Care, 2019, 23 (1): 374.
|
| 29 |
Pigozzi L, Aron JP, Ball J, et al. Understanding platelet dysfunction in sepsis[J]. Intensive Care Med, 2016, 42 (4): 583-586.
|
| 30 |
Thiery-Antier N, Binquet C, Vinault S, et al. Is thrombocytopenia an early prognostic marker in septic shock?[J]. Crit Care Med, 2016, 44 (4): 764-772.
|
| 31 |
Wang D, Wang S, Wu H, et al. Association between platelet levels and 28-day mortality in patients with sepsis: a retrospective analysis of a large clinical database MIMIC-IV[J]. Front Med (Lausanne), 2022, 9: 833996.
|
| 32 |
Vélez-Páez JL, Legua P, Vélez-Páez P, et al. Mean platelet volume and mean platelet volume to platelet count ratio as predictors of severity and mortality in sepsis[J]. PLoS One, 2022, 17 (1): e0262356.
|
| 33 |
Ligi D, Della Franca C, Notarte KI, et al. Platelet distribution width (PDW) as a significant correlate of COVID-19 infection severity and mortality[J]. Clin Chem Lab Med, 2024, 62 (3): 385-395.
|
| 34 |
Chen T, Yang H, Zhao Z, et al. The prognostic value of platelet aggregation in patients with sepsis[J]. Allergol Immunopathol (Madr), 2024, 52 (3): 17-21.
|
| 35 |
Xu N, Peng C. Association between red cell distribution width-to-platelet ratio and short-term and long-term mortality risk in patients with acute ischemic stroke[J]. BMC Neurol, 2023, 23 (1): 191.
|
| 36 |
Ge X, Zhu L, Li W, et al. Red cell distribution width to platelet count ratio: a promising routinely available indicator of mortality for acute traumatic brain injury[J]. J Neurotrauma, 2022, 39 (1-2): 159-171.
|
| 37 |
Wang H, Wang J, Xia J, et al. Red cell distribution width to platelet ratio predicts liver fibrosis in patients with autoimmune hepatitis[J]. Medicine (Baltimore), 2020, 99 (34): e21408.
|
| 38 |
Yao H, Lian L, Zheng R, et al. Red blood cell distribution width/platelet ratio on admission as a predictor for in-hospital mortality in patients with acute myocardial infarction: a retrospective analysis from MIMIC-IV database[J]. BMC Anesthesiol, 2023, 23 (1): 113.
|
| 39 |
郭蕾，杨晨，陈阳希，等.红细胞分布宽度与血小板计数比值对老年脓毒症患者临床转归的预测价值[J].中华老年多器官疾病杂志，2022，21（3）：161-165.
|
| 40 |
闫威威，董思琴，汪华学.红细胞分布宽度与血小板计数比值对脓毒症患者预后的预测价值[J].安徽医学，2022，43（8）：887-891.
|
| 41 |
梁凌，齐馨馨，梁晓辉，等.红细胞分布宽度与血小板计数比值对成人脓毒症患者预后的判断价值[J].疑难病杂志，2021，20（7）：690-693，698.
|
| 42 |
Liu J, Huang X, Yue S, et al. Association of red cell distribution width-to-platelet ratio and mortality in patients with sepsis[J]. Mediators Inflamm, 2022, 2022: 4915887.
|
| 43 |
Ge S, Lin S, Zhang L, et al. The association of red blood cell distribution width to platelet count ratio and 28-day mortality of patients with sepsis: a retrospective cohort study[J]. Ther Clin Risk Manag, 2020, 16: 999-1006.
|
| 44 |
李俊玉，王雅慧，刘慧珍，等.红细胞分布宽度与血小板计数比值对急诊脓毒症患者预后的预测价值[J].临床急诊杂志，2022，23（2）：132-137.
|
| 45 |
Zhou Y, Zhong L, Chen W, et al. Enhanced red blood cell distribution width to platelet ratio is a predictor of mortality in patients with sepsis: a propensity score matching analysis based on the MIMIC-IV database[J]. BMJ Open, 2022, 12 (9): e062245.
|
| 46 |
Lyu Y, Wang H, Zhong Z, et al. Predictive value of red blood cell distribution width-to-platelet ratio for severity in pyogenic liver abscess: a retrospective observational study[J]. Surg Infect (Larchmt), 2025, 26 (1): 33-38.
|
| 47 |
李茹，杨晓宇，杜贤荣，等.红细胞分布宽度与血小板比值联合乳酸、APACHEⅡ评分对脓毒症休克的预测价值[J].浙江医学，2023，45（7）：697-701.
|
| 48 |
Si Y, Sun B, Huang Y, et al. Predictive value of red cell distribution width-to-platelet ratio combined with procalcitonin in 28-day mortality for patients with sepsis[J]. Crit Care Res Pract, 2024, 2024: 9964992.
|
| 49 |
杨海龙，王冬利，王晶，等.中性粒细胞与淋巴细胞比值联合红细胞分布宽度与血小板计数比值在急诊老年脓毒症患者中的应用价值[J].中国综合临床，2022，38（6）：509-514.
|
| 50 |
唐明坤，孙海霞，吴思竹，等.基于机器学习的脓毒症早期预测研究进展[J/OL].中华危重症医学杂志（电子版），2023，16（5）：428-433.
|
| 51 |
刘昌，魏诗雨，张靖垚，等.多模态模型应用于腹腔感染诊断与预警的应用前景[J].中华消化外科杂志，2025，24（11）：1424-1432.
|
| 52 |
Kijpaisalratana N, Saoraya J, Nhuboonkaew P, et al. Real-time machine learning-assisted sepsis alert enhances the timeliness of antibiotic administration and diagnostic accuracy in emergency department patients with sepsis: a cluster-randomized trial[J]. Intern Emerg Med, 2024, 19 (5): 1415-1424.
|