乳酸清除率联合SOFA评分对脓毒性休克患者短期预后的预测价值
Predictive Value of Lactate Clearance Rate Combined with SOFA Score for Short-Term Prognosis in Patients with Septic Shock
DOI: 10.12677/acm.2025.15113230, PDF,    科研立项经费支持
作者: 李百远*, 姜文娟:延安大学附属医院重症医学科,陕西 延安
关键词: 脓毒性休克乳酸清除率SOFA评分Septic Shock Lactate Clearance Rate (LCR) Sequential Organ Failure Assessment (SOFA) Score
摘要: 目的:探究乳酸清除率(LCR)联合序贯器官衰竭评估(SOFA)评分对脓毒性休克患者短期预后的预测价值。方法:选取2023年1月至2025年6月收治的100例脓毒性休克患者为研究对象。根据28 d预后情况分为生存组(n = 54)与死亡组(n = 46)。记录患者性别、年龄、BMI、基础疾病、感染部位、实验室指标、急性生理学与慢性健康状况评估II (APACHE II)、SOFA评分等。记录2组患者入院时(0 h)、入院6 h、入院24 h的乳酸(Lac)值,并计算6 h及24 h LCR。利用Logistic回归分析筛选预测脓毒性休克患者预后的独立因素,并绘制ROC曲线,分析LCR联合SOFA评分预测患者预后的曲线下面积(AUC)。结果:死亡组年龄、SOFA评分、PLT、Lac0h、Lac6h、Lac24h、6 h LCR、24 h LCR显著高于生存组(均P < 0.05),Logistic回归结果显示SOFA评分、24 h LCR为患者预后的独立预测因子,SOFA评分预测脓毒性休克患者预后的AUC为0.680,24 h LCR预测脓毒性休克患者预后的AUC为0.800,两者联合预测脓毒性休克患者预后的AUC为0.822。结论:在脓毒性休克患者中,SOFA评分、24 h LCR是影响其短期预后的独立危险因素;入院后24 h LCR联合SOFA评分预测脓毒性休克预后的准确性优于单个变量,具有较好的预测价值。
Abstract: Objective: To explore the predictive value of lactate clearance rate (LCR) combined with Sequential Organ Failure Assessment (SOFA) score for short-term prognosis in patients with septic shock. Methods: A total of 100 patients with septic shock admitted from January 2023 to June 2025 were selected as the research subjects. They were divided into the survival group (n = 54) and the death group (n = 46) based on their 28-day prognosis. Data including patients’ gender, age, body mass index (BMI), underlying diseases, infection sites, laboratory indicators, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, and SOFA score were recorded. The lactate (Lac) levels of patients in both groups were measured at admission (0 h), 6 hours after admission, and 24 hours after admission; the 6-hour LCR and 24-hour LCR were then calculated. Logistic regression analysis was used to screen for independent factors predicting the prognosis of patients with septic shock. Receiver Operating Characteristic (ROC) curves were plotted, and the area under the curve (AUC) of LCR combined with SOFA score for predicting patient prognosis was analyzed. Results: Compared with the survival group, the death group had significantly higher age, SOFA score, platelet count (PLT), Lac level at admission (Lac0h), Lac level at 6 hours after admission (Lac6h), Lac level at 24 hours after admission (Lac24h), 6-hour LCR, and 24-hour LCR (all P < 0.05). Logistic regression results showed that SOFA score and 24-hour LCR were independent predictors of patient prognosis. The AUC of SOFA score for predicting the prognosis of patients with septic shock was 0.680, the AUC of 24-hour LCR was 0.800, and the AUC of the combination of the two was 0.822. Conclusion: In patients with septic shock, SOFA score and 24-hour LCR are independent risk factors affecting their short-term prognosis. The combination of 24-hour LCR (after admission) and SOFA score has higher accuracy in predicting the prognosis of septic shock than either indicator alone, and thus exhibits good predictive value.
文章引用:李百远, 姜文娟. 乳酸清除率联合SOFA评分对脓毒性休克患者短期预后的预测价值[J]. 临床医学进展, 2025, 15(11): 1359-1368. https://doi.org/10.12677/acm.2025.15113230

参考文献

[1] Rudd, K.E., Johnson, S.C., Agesa, K.M., Shackelford, K.A., Tsoi, D., Kievlan, D.R., et al. (2020) Global, Regional, and National Sepsis Incidence and Mortality, 1990-2017: Analysis for the Global Burden of Disease Study. The Lancet, 395, 200-211. [Google Scholar] [CrossRef] [PubMed]
[2] Lee, W.D., Weilandt, D.R., Liang, L., MacArthur, M.R., Jaiswal, N., Ong, O., et al. (2025) Lactate Homeostasis Is Maintained through Regulation of Glycolysis and Lipolysis. Cell Metabolism, 37, 758-771.e8. [Google Scholar] [CrossRef] [PubMed]
[3] Ryoo, S.M., Lee, J., Lee, Y., Lee, J.H., Lim, K.S., Huh, J.W., et al. (2018) Lactate Level versus Lactate Clearance for Predicting Mortality in Patients with Septic Shock Defined by Sepsis-3. Critical Care Medicine, 46, e489-e495. [Google Scholar] [CrossRef] [PubMed]
[4] Todi, S., Mehta, Y., Zirpe, K., Dixit, S., Kulkarni, A.P., Gurav, S., et al. (2024) A Multicentre Prospective Registry of One Thousand Sepsis Patients Admitted in Indian ICUs: (SEPSIS INDIA) Study. Critical Care, 28, Article No. 375. [Google Scholar] [CrossRef] [PubMed]
[5] Martin-Loeches, I., Singer, M. and Leone, M. (2024) Sepsis: Key Insights, Future Directions, and Immediate Goals. A Review and Expert Opinion. Intensive Care Medicine, 50, 2043-2049. [Google Scholar] [CrossRef] [PubMed]
[6] Singer, M., Deutschman, C.S., Seymour, C.W., Shankar-Hari, M., Annane, D., Bauer, M., et al. (2016) The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA, 315, 801-810. [Google Scholar] [CrossRef] [PubMed]
[7] 徐大千, 黄智, 冯敏, 等. 24h乳酸清除率和序贯器官衰竭评分及简化急性生理评分II对脓毒症预后的预测价值研究[J]. 医药论坛杂志, 2024, 45(18): 1943-1947.
[8] Lee, H.J., Ko, B.S., Ryoo, S.M., Han, E., Suh, G.J., Choi, S., et al. (2022) Modified Cardiovascular SOFA Score in Sepsis: Development and Internal and External Validation. BMC Medicine, 20, Article No. 263. [Google Scholar] [CrossRef] [PubMed]
[9] Kim, D.K., Kim, S., Kang, D.H., Ju, H., Oh, D.K., Lee, S.Y., et al. (2024) Influence of Underlying Condition and Performance of Sepsis Bundle in Very Old Patients with Sepsis: A Nationwide Cohort Study. Annals of Intensive Care, 14, Article No. 179. [Google Scholar] [CrossRef] [PubMed]
[10] Wang, Y., Zhang, H. and Miao, C. (2025) Unraveling Immunosenescence in Sepsis: From Cellular Mechanisms to Therapeutics. Cell Death & Disease, 16, Article No. 393. [Google Scholar] [CrossRef] [PubMed]
[11] Wen, J., Li, N., Guo, C., Shen, N. and He, B. (2020) Performance and Comparison of Assessment Models to Predict 30-Day Mortality in Patients with Hospital-Acquired Pneumonia. Chinese Medical Journal, 133, 2947-2952. [Google Scholar] [CrossRef] [PubMed]
[12] Kiudulaite, I., Belousoviene, E., Vitkauskiene, A. and Pranskunas, A. (2021) Effects of Remote Ischemic Conditioning on Microcirculatory Alterations in Patients with Sepsis: A Single-Arm Clinical Trial. Annals of Intensive Care, 11, Article No. 55. [Google Scholar] [CrossRef] [PubMed]
[13] Toda, Y., Komatsu, S., Fukami, Y., Saito, T., Matsumura, T., Osawa, T., et al. (2022) Prognostic Factors for the Successful Conservative Management of Nonocclusive Mesenteric Ischemia. World Journal of Emergency Surgery, 17, Article No. 32. [Google Scholar] [CrossRef] [PubMed]
[14] Giustozzi, M., Ehrlinder, H., Bongiovanni, D., Borovac, J.A., Guerreiro, R.A., Gąsecka, A., et al. (2021) Coagulopathy and Sepsis: Pathophysiology, Clinical Manifestations and Treatment. Blood Reviews, 50, Article ID: 100864. [Google Scholar] [CrossRef] [PubMed]
[15] Cox, D. (2023) Sepsis—It Is All about the Platelets. Frontiers in Immunology, 14, Article 1210219. [Google Scholar] [CrossRef] [PubMed]
[16] Su, M., Chen, C., Li, S., Li, M., Zeng, Z., Zhang, Y., et al. (2022) Gasdermin D-Dependent Platelet Pyroptosis Exacerbates NET Formation and Inflammation in Severe Sepsis. Nature Cardiovascular Research, 1, 732-747. [Google Scholar] [CrossRef] [PubMed]
[17] Li, C., Ture, S.K., Nieves-Lopez, B., Blick-Nitko, S.K., Maurya, P., Livada, A.C., et al. (2024) Thrombocytopenia Independently Leads to Changes in Monocyte Immune Function. Circulation Research, 134, 970-986. [Google Scholar] [CrossRef] [PubMed]
[18] Fogagnolo, A., Campo, G.C., Mari, M., Pompei, G., Pavasini, R., Volta, C.A., et al. (2022) The Underestimated Role of Platelets in Severe Infection a Narrative Review. Cells, 11, Article 424. [Google Scholar] [CrossRef] [PubMed]
[19] Anthon, C.T., Pène, F., Perner, A., Azoulay, E., Puxty, K., Van De Louw, A., et al. (2023) Thrombocytopenia and Platelet Transfusions in ICU Patients: An International Inception Cohort Study (PLOT-ICU). Intensive Care Medicine, 49, 1327-1338. [Google Scholar] [CrossRef] [PubMed]
[20] 米达, 孙屹屹. 血小板计数、NLR、血清PCT对脓毒症患者预后的预测价值[J]. 临床研究, 2025, 33(4): 9-12.
[21] Marbach, J.A., Stone, S., Schwartz, B., Pahuja, M., Thayer, K.L., Faugno, A.J., et al. (2021) Lactate Clearance Is Associated with Improved Survival in Cardiogenic Shock: A Systematic Review and Meta-Analysis of Prognostic Factor Studies. Journal of Cardiac Failure, 27, 1082-1089. [Google Scholar] [CrossRef] [PubMed]
[22] Lee, S.G., Song, J., Park, D.W., Moon, S., Cho, H., Kim, J.Y., et al. (2021) Prognostic Value of Lactate Levels and Lactate Clearance in Sepsis and Septic Shock with Initial Hyperlactatemia: A Retrospective Cohort Study According to the Sepsis-3 Definitions. Medicine, 100, e24835. [Google Scholar] [CrossRef] [PubMed]
[23] Fuernau, G., Desch, S., de Waha-Thiele, S., Eitel, I., Neumann, F., Hennersdorf, M., et al. (2020) Arterial Lactate in Cardiogenic Shock: Prognostic Value of Clearance Versus Single Values. JACC: Cardiovascular Interventions, 13, 2208-2216. [Google Scholar] [CrossRef] [PubMed]
[24] 王会仙, 徐先锋, 王春敏. 乳酸/前白蛋白比值联合序贯器官衰竭评估评分对脓毒症休克患者预后的预测价值[J]. 创伤与急诊电子杂志, 2025, 13(1): 51-56.
[25] 王倅旭, 闵瑞雪, 李秀玲, 等. 血钙联合血清6h乳酸清除率对脓毒症患者病情及预后的评估价值[J]. 贵州医科大学学报, 2022, 47(7): 858-862, 868.
[26] 武彧, 杨德兴, 王虹, 等. 脓毒性休克患者早期动、静脉血乳酸相关性及乳酸、乳酸清除率的预后评估价值[J]. 昆明医科大学学报, 2021, 42(9): 83-89.