重症肺炎患者血小板相关参数变化趋势与预后的关系
The Relationship between the Changing Trend of Platelet-Related Parameters and Prognosis in Patients with Severe Pneumonia
DOI: 10.12677/jcpm.2024.32076, PDF,   
作者: 杨雨露:青海大学研究生院,青海 西宁
关键词: PLTPDWMPVPLCR重症肺炎PLT PDW MPV PLCR Severe Pneumonia
摘要: 重症肺炎是呼吸与危重症医学科的一种常见的危重症感染性疾病。疾病特点为症状不典型,即患者不仅出现呼吸系统炎症、肺间质损伤等表现,或还伴随全身炎症反应,如高热、惊厥等;此病进展迅速、来势凶猛,且治疗费用昂贵、效果欠佳,死亡率居高不下,给患者及社会造成巨大的负担。早期识别疾病的发展趋势,评估患者病情严重程度并对其选取有效治疗措施,对降低患者致残率、病死率及合理利用医疗资源至关重要。但目前临床上还缺乏可以精准预测重症肺炎预后的常用指标。血小板相关参数对重症肺炎的预后评估的临床适用性及有效性尚存在争议。本文就血小板相关参数在重症肺炎患者病情评估中的作用进行综述,以帮助临床医生对重症肺炎进行更好评估及诊治。
Abstract: Severe pneumonia is a common critical infectious disease in the Department of Respiratory and Critical Care Medicine. The disease is characterized by atypical symptoms, that is, patients not only have respiratory system inflammation, pulmonary interstitial damage and other manifestations, or accompanied by systemic inflammatory reactions, such as high fever, convulsions, etc., the disease progresses rapidly, violently, and the treatment cost is expensive, the effect is not good, and the mortality rate remains high, causing a huge burden to patients and society. Early identification of the development trend of the disease, assessment of the severity of the patient’s disease and selection of effective treatment measures are essential to reduce the disability rate and mortality rate of patients and rationally use medical resources. However, there is still a lack of commonly used indicators that can accurately predict the prognosis of severe pneumonia. The clinical applicability and effectiveness of platelet-related parameters in the prognostic assessment of severe pneumonia are still controversial. This article reviews the role of platelet-related parameters in the assessment of patients with severe pneumonia, so as to help clinicians better evaluate, diagnose and treat severe pneumonia.
文章引用:杨雨露. 重症肺炎患者血小板相关参数变化趋势与预后的关系[J]. 临床个性化医学, 2024, 3(2): 518-524. https://doi.org/10.12677/jcpm.2024.32076

参考文献

[1] 金颖, 王嘉. RDW/ALB和CRP/ALB比值预测重症社区感染性肺炎患者院内死亡的临床价值[J]. 临床急诊杂志, 2022, 23(6): 405-411.
[2] 刘则林, 门猛, 苗雅娇. 成人社区获得性肺炎严重程度及死亡危险因素分析[J]. 国际呼吸杂志, 2021, 41(23): 1795-1800.
[3] 李敏. 重症肺炎患者中性粒细胞/淋巴细胞比值和红细胞分布宽度及其28 d死亡风险的预测价值[J]. 湖南师范大学学报(医学版), 2021, 18(4): 255-258.
[4] 张志强, 等. 重症肺炎合并重度急性呼吸窘迫综合征患者临床特点与预后影响因素分析[J]. 中华医院感染学杂志 2016, 26(6): 1297-1299.
[5] Mizgerd, J.P. (2017) Pathogenesis of Severe Pneumonia: Advances and Knowledge Gaps. Current Opinion in Pulmonary Medicine, 23, 193-197. [Google Scholar] [CrossRef
[6] Spiezia, L., et al. (2020) COVID-19-Related Severe Hypercoagulability in Patients Admitted to Intensive Care Unit for Acute Respiratory Failure. Thrombosis and Haemostasis, 120, 998-1000. [Google Scholar] [CrossRef] [PubMed]
[7] Panigada, M., et al. (2020) Hypercoagulability of COVID-19 Patients in Intensive Care Unit: A Report of Thromboelastography Findings and Other Parameters of Hemostasis. Journal of Thrombosis and Haemostasis, 18, 1738-1742. [Google Scholar] [CrossRef] [PubMed]
[8] Huang, C., et al. (2020) Clinical Features of Patients Infected with 2019 Novel Coronavirus in Wuhan, China. The Lancet, 395, 497-506. [Google Scholar] [CrossRef
[9] Kasotakis, G., et al. (2017) Valproic Acid Mitigates the Inflammatory Response and Prevents Acute Respiratory Distress Syndrome in a Murine Model of Escherichia coli Pneumonia at the Expense of Bacterial Clearance. Journal of Trauma and Acute Care Surgery, 82, 758-765. [Google Scholar] [CrossRef
[10] Modi, A.R. and Kovacs, C.S. (2020) Community-Acquired Pneumonia: Strategies for Triage and Treatment. Cleveland Clinic Journal of Medicine, 87, 145-151. [Google Scholar] [CrossRef] [PubMed]
[11] 冯勇, 浦丽. 改良早期预警评分对老年重症肺炎患者的病情严重程度及死亡预测研究[J]. 中国医刊, 2016, 51(4): 70-73.
[12] 林宗钦, 等. 影响老年重症肺炎患者死亡的危险因素分析[J]. 河北医学, 2018, 24(1): 142-145.
[13] 肖红雯. 老年重症肺炎患者病原菌构成及其死亡危险因素[J]. 中国老年学杂志, 2017, 37(8): 1950-1952.
[14] Omran, A., et al. (2018) Salivary C-Reactive Protein, Mean Platelet Volume and Neutrophil Lymphocyte Ratio as Diagnostic Markers for Neonatal Sepsis. Jornal de Pediatria, 94, 82-87. [Google Scholar] [CrossRef] [PubMed]
[15] 李彭, 等. 社区获得性肺炎合并脓毒症患者临床特征及死亡危险因素分析[J]. 中国呼吸与危重监护杂志, 2022, 21(4): 260-268.
[16] Pechous, R.D. (2017) With Friends Like These: The Complex Role of Neutrophils in the Progression of Severe Pneumonia. Frontiers in Cellular and Infection Microbiology, 7, Article 160. [Google Scholar] [CrossRef] [PubMed]
[17] Nicolai, L. and Massberg, S. (2020) Platelets as Key Players in Inflammation and Infection. Current Opinion in Hematology, 27, 34-40. [Google Scholar] [CrossRef
[18] Jenne, C.N. and Kubes, P. (2015) Platelets in Inflammation and Infection. Platelets, 26, 286-292. [Google Scholar] [CrossRef] [PubMed]
[19] Kosaki, G. (2005) In Vivo Platelet Production from Mature Megakaryocytes: Does Platelet Release Occur via Proplatelets? International Journal of Hematology, 81, 208-219. [Google Scholar] [CrossRef
[20] Lefrançais, E., et al. (2017) The Lung Is a Site of Platelet Biogenesis and a Reservoir for Haematopoietic Progenitors. Nature, 544, 105-109. [Google Scholar] [CrossRef] [PubMed]
[21] Lefrançais, E. and Looney, M.R. (2019) Platelet Biogenesis in the Lung Circulation. Physiology, 34, 392-401. [Google Scholar] [CrossRef] [PubMed]
[22] Thiery-Antier, N., et al. (2016) Is Thrombocytopenia an Early Prognostic Marker in Septic Shock? Critical Care Medicine, 44, 764-772. [Google Scholar] [CrossRef
[23] Morris, R.S., et al. (2018) Immunopathological Response to Severe Injury: Platelet Activation and the Th-17 Immune Response. Blood Coagulation & Fibrinolysis, 29, 48-54. [Google Scholar] [CrossRef
[24] Iba, T. and Levy, J.H. (2018) Inflammation and Thrombosis: Roles of Neutrophils, Platelets and Endothelial Cells and Their Interactions in Thrombus Formation during Sepsis. Journal of Thrombosis and Haemostasis, 16, 231-241. [Google Scholar] [CrossRef] [PubMed]
[25] Maas, C. and Renné, T. (2018) Coagulation Factor XII in Thrombosis and Inflammation. Blood, 131, 1903-1909. [Google Scholar] [CrossRef] [PubMed]
[26] Semple, J.W., Italiano, J.E. and Freedman, J. (2011) Platelets and the Immune Continuum. Nature Reviews Immunology, 11, 264-274. [Google Scholar] [CrossRef] [PubMed]
[27] Pulavendran, S., et al. (2019) Combination Therapy Targeting Platelet Activation and Virus Replication Protects Mice against Lethal Influenza Pneumonia. American Journal of Respiratory Cell and Molecular Biology, 61, 689-701. [Google Scholar] [CrossRef
[28] 刘乔乔, 等. 血小板参数、PDW/PLT和MPV/PLT变化对社区获得性肺炎患者预后评估价值[J]. 福建医科大学学报, 2020, 54(3): 156-160.
[29] 陈秀琴, 黄玉麟, 汤俊. 重症肺炎患者血小板参数、OI值与患者治疗结局关系的多因素分析[J]. 临床和实验医学杂志, 2021, 20(11): 1195-1198.
[30] 周三军, 张秀丽. 老年重症肺部感染患者血小板改变对生存状况的预测分析[J]. 中国预防医学杂志, 2020, 21(3): 280-283.
[31] 冯开俊, 张泓. 血小板相关参数联合肺炎严重指数评分对重症肺炎患者病死率的预测作用[J]. 中国急救医学, 2019, 39(8): 739-743.
[32] Mirsaeidi, M., et al. (2010) Thrombocytopenia and Thrombocytosis at Time of Hospitalization Predict Mortality in Patients with Community-Acquired Pneumonia. Chest, 137, 416-420. [Google Scholar] [CrossRef] [PubMed]
[33] Omran, A., et al. (2021) Salivary C-Reactive Protein and Mean Platelet Volume in the Diagnosis and Follow-Up of Community-Acquired Pneumonia in Infants. Pediatric Allergy, Immunology, and Pulmonology, 34, 141-146. [Google Scholar] [CrossRef] [PubMed]
[34] Ju, H.Y., et al. (2015) Could Mean Platelet Volume Be a Promising Biomarker of Progression of Chronic Kidney Disease? Platelets, 26, 143-147. [Google Scholar] [CrossRef] [PubMed]
[35] Chahin, A. and Opal, S.M. (2017) Severe Pneumonia Caused by Legionella pneumophila: Differential Diagnosis and Therapeutic Considerations. Infectious Disease Clinics of North America, 31, 111-121. [Google Scholar] [CrossRef] [PubMed]
[36] Chen, J., et al. (2020) High Mean Platelet Volume Associates with In-Hospital Mortality in Severe Pneumonia Patients. Mediators of Inflammation, 2020, Article ID: 8720535. [Google Scholar] [CrossRef] [PubMed]
[37] Beyan, C. and Beyan, E. (2022) Mean Platelet Volume May not Be a Mortality Marker in Patients with COVID-19 Pneumonia. The American Journal of Emergency Medicine, 57, 199-200. [Google Scholar] [CrossRef] [PubMed]
[38] Chu, S.G., et al. (2010) Mean Platelet Volume as a Predictor of Cardiovascular Risk: A Systematic Review and Meta-Analysis. Journal of Thrombosis and Haemostasis, 8, 148-156. [Google Scholar] [CrossRef] [PubMed]
[39] Altintoprak, F., et al. (2013) Mean Platelet Volume as a Potential Prognostic Marker in Patients with Acute Mesenteric Ischemia-Retrospective Study. World Journal of Emergency Surgery, 8, Article No. 49. [Google Scholar] [CrossRef] [PubMed]
[40] Kandis, H., et al. (2011) The Prognostic Value of Mean Platelet Volume in Decompensated Heart Failure. Emergency Medicine Journal, 28, 575-578. [Google Scholar] [CrossRef] [PubMed]
[41] Ozcelik, N., et al. (2021) The Value of the Platelet Count and Platelet Indices in Differentiation of COVID-19 and Influenza Pneumonia. Journal of Medical Virology, 93, 2221-2226. [Google Scholar] [CrossRef] [PubMed]
[42] 孟洪, 等. 凝血指标、血小板参数及体液免疫功能检测在小儿重症肺炎中的应用价值[J]. 血栓与止血学, 2018, 24(6): 1072-1074.
[43] 陈慧敏, 等. 红细胞分布宽度和血小板分布宽度联合格拉斯哥昏迷评分对重度创伤性颅脑损伤患者预后的评估价值[J]. 医学研究生学报, 2020, 33(5): 493-497.
[44] 潘美靖, 秦泽鸿, 翁锡泉. 血小板参数在评估感染相关性血小板减少症预后的价值[J]. 血栓与止血学, 2016(1): 85-87.