无创呼吸支持治疗失败的影响因素研究进展
Research Progress on Factors Influencing the Failure of Non-Invasive Respiratory Support Treatment
DOI: 10.12677/acm.2026.161288, PDF,   
作者: 李嘉祺, 鲁萍萍, 刁 鑫*:西安医学院第一附属医院呼吸与危重症学科,陕西 西安
关键词: 无创呼吸经鼻高流量氧疗治疗失败Non-Invasive Ventilation High-Flow Nasal Cannula Oxygen Therapy Treatment Failure
摘要: 无创呼吸支持治疗是一种无需气管插管或气道切开,通过面罩、鼻罩等方式将呼吸机与患者相连,为患者提供呼吸支持的治疗方式。无创呼吸支持治疗是纠正血气指标异常和改善患者病情的重要手段。无创通气(Non-invasive ventilation, NIV)与经鼻高流量氧疗(High-flow nasal cannula, HFNC)是无创呼吸支持治疗的常用手段。无创通气是指呼吸机通过面罩与患者相连进行的正压通气,无需建立有创人工气道;而经鼻高流量氧疗是指通过鼻导管进行的高流量湿化氧疗,是一种高流量持续为患者提供可以调控并相对恒定吸氧浓度、温度以及湿度的吸入气体的治疗方式。对于无法耐受NIV的患者可以尝试使用HFNC代替治疗,且HFNC与NIV的治疗效果并没有太大差异。NIV失败(或HFNC失败)定义为患者使用NIV (或HFNC)一定时间后需要切换至有创通气或患者死亡。依据失败的时间点不同,NIV失败又可分为即刻失败(1小时内)、早期失败(1~48小时内)和晚期失败(48小时以后),其中早期失败最为常见。盲目地使用无创通气,可能导致通气治疗早期失败并延后有创通气的启动时间,进而增加住院死亡率。因此,明确无创呼吸支持治疗的影响因素至关重要。本文对无创呼吸支持治疗的相关影响因素的研究进行综述,为临床治疗提供参考。
Abstract: Non-invasive respiratory support therapy is a treatment method that connects the patient to the ventilator through a mask, nasal mask, or other means without the need for endotracheal intubation or tracheotomy to provide respiratory support to the patient. Non-invasive respiratory support therapy is an important means to correct abnormal blood gas indicators and improve the patient’s condition. Non-invasive ventilation (NIV) and high-flow nasal cannula (HFNC) are common methods of non-invasive respiratory support therapy. Non-invasive ventilation refers to positive pressure ventilation through a mask connected to the ventilator without the need to establish an invasive artificial airway; while high-flow nasal cannula refers to high-flow humidified oxygen therapy through a nasal cannula, which is a treatment method that continuously provides the patient with inhalation gas with adjustable and relatively constant oxygen concentration, temperature, and humidity at a high flow rate. For patients who cannot tolerate NIV, HFNC can be attempted as an alternative treatment, and there is no significant difference in the therapeutic effect between HFNC and NIV. NIV failure (or HFNC failure) is defined as the need to switch to invasive ventilation or the patient’s death after a certain period of using NIV (or HFNC). According to the time point of failure, NIV failure can be divided into immediate failure (within 1 hour), early failure (1~48 hours), and late failure (after 48 hours), among which early failure is the most common. The blind use of non-invasive ventilation may lead to early failure of ventilation treatment and delay the initiation of invasive ventilation, thereby increasing the in-hospital mortality rate. Therefore, it is crucial to clarify the influencing factors of non-invasive respiratory support therapy. This article reviews research on the influencing factors of non-invasive respiratory support therapy to provide a reference for clinical treatment.
文章引用:李嘉祺, 鲁萍萍, 刁鑫. 无创呼吸支持治疗失败的影响因素研究进展[J]. 临床医学进展, 2026, 16(1): 2301-2310. https://doi.org/10.12677/acm.2026.161288

参考文献

[1] Katsuno, T., Suzuki, M., Morishita, M., Kawajiri, K., Saito, S., Horikawa, Y., et al. (2023) High-Flow Nasal Cannula for Severe COVID-19 Patients in a Japanese Single-Center, Retrospective, Observational Study: 1 Year of Clinical Experience. Global Health & Medicine, 5, 47-53. [Google Scholar] [CrossRef] [PubMed]
[2] Suttapanit, K., Boriboon, J. and Sanguanwit, P. (2021) Risk Factors for Non-Invasive Ventilation Failure in Influenza Infection with Acute Respiratory Failure in Emergency Department. The American Journal of Emergency Medicine, 45, 368-373. [Google Scholar] [CrossRef] [PubMed]
[3] Sun, W., Luo, Z., Cao, Z., Wang, J., Zhang, L. and Ma, Y. (2022) A Combination of the APACHE II Score, Neutrophil/Lymphocyte Ratio, and Expired Tidal Volume Could Predict Non-Invasive Ventilation Failure in Pneumonia-Induced Mild to Moderate Acute Respiratory Distress Syndrome Patients. Annals of Translational Medicine, 10, Article 407. [Google Scholar] [CrossRef] [PubMed]
[4] Roca, O., Messika, J., Caralt, B., García-de-Acilu, M., Sztrymf, B., Ricard, J., et al. (2016) Predicting Success of High-Flow Nasal Cannula in Pneumonia Patients with Hypoxemic Respiratory Failure: The Utility of the ROX Index. Journal of Critical Care, 35, 200-205. [Google Scholar] [CrossRef] [PubMed]
[5] Alshahrani, M.S., Alshaqaq, H.M., Alhumaid, J., Binammar, A.A., AlSalem, K.H., Alghamdi, A., et al. (2021) High-flow Nasal Cannula Treatment in Patients with COVID-19 Acute Hypoxemic Respiratory Failure. Saudi Journal of Medicine & Medical Sciences, 9, 215-222. [Google Scholar] [CrossRef] [PubMed]
[6] Prakash, J., Bhattacharya, P.K., Yadav, A.K., Kumar, A., Tudu, L.C. and Prasad, K. (2021) ROX Index as a Good Predictor of High Flow Nasal Cannula Failure in COVID-19 Patients with Acute Hypoxemic Respiratory Failure: A Systematic Review and Meta-Analysis. Journal of Critical Care, 66, 102-108. [Google Scholar] [CrossRef] [PubMed]
[7] 宋建奇, 房颖, 吕维, 等. ROX指数在经鼻高流量湿化氧疗治疗Ⅰ型呼吸衰竭中的应用价值[J]. 新乡医学院学报, 2021, 38(7): 671-675.
[8] Roca, O., Caralt, B., Messika, J., Samper, M., Sztrymf, B., Hernández, G., et al. (2019) An Index Combining Respiratory Rate and Oxygenation to Predict Outcome of Nasal High-Flow Therapy. American Journal of Respiratory and Critical Care Medicine, 199, 1368-1376. [Google Scholar] [CrossRef] [PubMed]
[9] Suliman, L., Abdelgawad, T., Farrag, N. and Abdelwahab, H. (2020) Validity of ROX Index in Prediction of Risk of Intubation in Patients with COVID-19 Pneumonia. Advances in Respiratory Medicine, 89, 1-7. [Google Scholar] [CrossRef] [PubMed]
[10] Junhai, Z., Jing, Y., Beibei, C. and Li, L. (2022) The Value of ROX Index in Predicting the Outcome of High Flow Nasal Cannula: A Systematic Review and Meta-Analysis. Respiratory Research, 23, Article No. 33. [Google Scholar] [CrossRef] [PubMed]
[11] Goh, K.J., Chai, H.Z., Ong, T.H., Sewa, D.W., Phua, G.C. and Tan, Q.L. (2020) Early Prediction of High Flow Nasal Cannula Therapy Outcomes Using a Modified ROX Index Incorporating Heart Rate. Journal of Intensive Care, 8, Article No. 41. [Google Scholar] [CrossRef] [PubMed]
[12] Patel, N.B., Jain, G., Chauhan, U., Bhadoria, A.S., Chandrakar, S. and Indulekha, H. (2023) Evaluating Diaphragmatic Dysfunction and Predicting Non-Invasive Ventilation Failure in Acute Exacerbation of Chronic Obstructive Pulmonary Disease in India. Acute and Critical Care, 38, 200-208. [Google Scholar] [CrossRef] [PubMed]
[13] Kocyigit, H., Gunalp, M., Genc, S., Oguz, A.B., Koca, A. and Polat, O. (2021) Diaphragm Dysfunction Detected with Ultrasound to Predict Noninvasive Mechanical Ventilation Failure: A Prospective Cohort Study. The American Journal of Emergency Medicine, 45, 202-207. [Google Scholar] [CrossRef] [PubMed]
[14] Barreto, L.M., Ravetti, C.G., Athaíde, T.B., Bragança, R.D., Pinho, N.C., Chagas, L.V., et al. (2020) Factors Associated with Non-Invasive Mechanical Ventilation Failure in Patients with Hematological Neoplasia and Their Association with Outcomes. Journal of Intensive Care, 8, Article No. 68. [Google Scholar] [CrossRef] [PubMed]
[15] 丁伟超, 许铁, 燕宪亮, 等. AECOPD患者无创通气成败的危险因素评估[J]. 中华灾害救援医学, 2021, 9(9): 1206-1210.
[16] 杜安琪, 李纾, 吕姗, 等. 非心脏术后低氧性呼衰患者经鼻高流量氧疗失败危险因素及早期预警模型[J]. 实用医学杂志, 2021, 37(7): 914-918.
[17] 卢健聪, 邱惠中, 陈丽丽. 经鼻高流量氧疗对慢性阻塞性肺疾病急性加重合并呼吸衰竭患者治疗失败的危险因素分析[J]. 检验医学与临床, 2021, 18(11): 1582-1586.
[18] Sun, W., Luo, Z.J., Jin, J.W., Cao, Z.X. and Ma, Y.M. (2021) The Neutrophil/Lymphocyte Ratio Could Predict Noninvasive Mechanical Ventilation Failure in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Retrospective Observational Study. International Journal of Chronic Obstructive Pulmonary Disease, 16, 2267-2277.
[19] Zablockis, R., Šlekytė, G., Mereškevičienė, R., Kėvelaitienė, K., Zablockienė, B. and Danila, E. (2022) Predictors of Noninvasive Respiratory Support Failure in COVID-19 Patients: A Prospective Observational Study. Medicina, 58, Article 769. [Google Scholar] [CrossRef] [PubMed]
[20] Ferrer, M., Ioanas, M., Arancibia, F., Marco, M.A., de la Bellacasa, J.P. and Torres, A. (2005) Microbial Airway Colonization Is Associated with Noninvasive Ventilation Failure in Exacerbation of Chronic Obstructive Pulmonary Disease. Critical Care Medicine, 33, 2003-2009. [Google Scholar] [CrossRef] [PubMed]
[21] Xu, J., Yang, X., Huang, C., Zou, X., Zhou, T., Pan, S., et al. (2020) A Novel Risk-Stratification Models of the High-Flow Nasal Cannula Therapy in COVID-19 Patients with Hypoxemic Respiratory Failure. Frontiers in Medicine, 7, Article 607821. [Google Scholar] [CrossRef] [PubMed]
[22] Gungor, S., Mocin, O.Y., Tuncay, E., Aksoy, E., Goksenoglu, N.C., Ocakli, B., et al. (2020) Risk Factors of Unfavorable Outcomes in Chronic Obstructive Pulmonary Disease Patients Treated with Noninvasive Ventilation for Acute Hypercapnic Respiratory Failure. The Clinical Respiratory Journal, 14, 1083-1089. [Google Scholar] [CrossRef] [PubMed]
[23] Duan, J., Han, X., Bai, L., Zhou, L. and Huang, S. (2016) Assessment of Heart Rate, Acidosis, Consciousness, Oxygenation, and Respiratory Rate to Predict Noninvasive Ventilation Failure in Hypoxemic Patients. Intensive Care Medicine, 43, 192-199. [Google Scholar] [CrossRef] [PubMed]
[24] Carrillo, A., Lopez, A., Carrillo, L., Caldeira, V., Guia, M., Alonso, N., et al. (2020) Validity of a Clinical Scale in Predicting the Failure of Non-Invasive Ventilation in Hypoxemic Patients. Journal of Critical Care, 60, 152-158. [Google Scholar] [CrossRef] [PubMed]
[25] Magdy, D. and Metwally, A. (2021) The Utility of HACOR Score in Predicting Failure of High-Flow Nasal Oxygen in Acute Hypoxemic Respiratory Failure. Advances in Respiratory Medicine, 89, 23-29. [Google Scholar] [CrossRef] [PubMed]
[26] Mathen, P.G., Kumar, K.G., Mohan, N., Sreekrishnan, T., Nair, S.B., Krishnan, A.K., et al. (2022) Prediction of Noninvasive Ventilation Failure in a Mixed Population Visiting the Emergency Department in a Tertiary Care Center in India. Indian Journal of Critical Care Medicine, 26, 1115-1119. [Google Scholar] [CrossRef] [PubMed]
[27] Ding, M., Han, X., Bai, L., Huang, S. and Duan, J. (2021) Impact of HACOR Score on Noninvasive Ventilation Failure in Non-COPD Patients with Acute-On-Chronic Respiratory Failure. Canadian Respiratory Journal, 2021, Article ID: 9960667. [Google Scholar] [CrossRef] [PubMed]
[28] 张文平, 高胜浩, 杨远舰, 等. HACOR评分对无创正压通气治疗慢性阻塞性肺疾病合并肺性脑病临床结局的预测价值[J]. 中华危重病急救医学, 2023, 35(2): 130-134.
[29] Duan, J., Chen, L., Liu, X., Bozbay, S., Liu, Y., Wang, K., et al. (2022) An Updated HACOR Score for Predicting the Failure of Noninvasive Ventilation: A Multicenter Prospective Observational Study. Critical Care, 26, Article No. 196. [Google Scholar] [CrossRef] [PubMed]
[30] Fukuda, Y., Tanaka, A., Homma, T., Kaneko, K., Uno, T., Fujiwara, A., et al. (2021) Utility of SpO2/FiO2 Ratio for Acute Hypoxemic Respiratory Failure with Bilateral Opacities in the ICU. PLOS ONE, 16, e0245927. [Google Scholar] [CrossRef] [PubMed]
[31] Liang, Y., Lan, C., Su, W., Yang, M., Chen, S. and Wu, Y. (2022) Factors and Outcomes Associated with Failed Noninvasive Positive Pressure Ventilation in Patients with Acute Respiratory Failure. International Journal of General Medicine, 15, 7189-7199. [Google Scholar] [CrossRef] [PubMed]
[32] Abali, H., Kutbay Ozcelik, H., Akkutuk Ongel, E., Beyhan, N., Tokgoz Akyil, F., Tural Onur, S., et al. (2022) Prognostic Predictors for Mortality of Patients with COVID-19 in an Intensive Care Unit. The Journal of Infection in Developing Countries, 16, 1555-1563. [Google Scholar] [CrossRef] [PubMed]
[33] Arunachala, S., Parthasarathi, A., Basavaraj, C.K., Kaleem Ullah, M., Chandran, S., Venkataraman, H., et al. (2023) The Validity of the ROX Index and APACHE II in Predicting Early, Late, and Non-Responses to Non-Invasive Ventilation in Patients with COVID-19 in a Low-Resource Setting. Viruses, 15, Article 2231. [Google Scholar] [CrossRef] [PubMed]
[34] Ma, X., An, M., Yin, F., Zhang, J., Peng, M., Guan, H., et al. (2022) Factors Associated with Failure of High-Flow Nasal Cannula Oxygen Therapy in Patients with Severe COVID-19: A Retrospective Case Series. Journal of International Medical Research, 50, 5. [Google Scholar] [CrossRef] [PubMed]
[35] Watson, A., Yadollahi, S., Fahmy, A., Mahar, S., Fritche, D., Beecham, R., et al. (2023) Non-Invasive Ventilation for Community-Acquired Pneumonia: Outcomes and Predictors of Failure from an ICU Cohort. Medicina, 60, Article 81. [Google Scholar] [CrossRef] [PubMed]
[36] Polok, K., Fronczek, J., Artigas, A., Flaatten, H., Guidet, B., De Lange, D.W., et al. (2022) Noninvasive Ventilation in COVID-19 Patients Aged ≥ 70 Years—A Prospective Multicentre Cohort Study. Critical Care, 26, Article No. 224. [Google Scholar] [CrossRef] [PubMed]
[37] Kljakovic Gaspic, T., Pavicic Ivelja, M., Kumric, M., Matetic, A., Delic, N., Vrkic, I., et al. (2021) In-Hospital Mortality of COVID-19 Patients Treated with High-Flow Nasal Oxygen: Evaluation of Biomarkers and Development of the Novel Risk Score Model CROW-65. Life, 11, Article 735. [Google Scholar] [CrossRef] [PubMed]
[38] 苑仁祥, 赵卉, 刘云峰, 等. 两种评分系统对预测AECOPD合并II型呼吸衰竭患者无创通气治疗效果分析[J]. 安徽医科大学学报, 2019, 54(3): 495-497, 502.
[39] 谢连进, 刘福松, 朱银珍. 急性呼吸衰竭患者无创通气失败的危险因素分析[J]. 大医生, 2022, 7(23): 86-88.
[40] 吴令波, 张芬. 肺心病无创呼吸机治疗失败的相关因素分析及护理对策[J]. 护理实践与研究, 2020, 17(14): 16-18.
[41] 赵东方. AECOPD合并II型呼吸衰竭患者无创通气治疗失败的影响因素[J]. 医药论坛杂志, 2022, 43(2): 22-24, 28.