Kljakovic Gaspic Toni, Pavicic Ivelja Mirela, Kumric Marko, Matetic Andrija, Delic Nikola, Vrkic Ivana, Bozic Josko
Department of Anesthesiology and Intensive Medicine, University Hospital of Split, 21000 Split, Croatia.
Department of Infectious Diseases, University Hospital of Split, 21000 Split, Croatia.
Life (Basel). 2021 Jul 23;11(8):735. doi: 10.3390/life11080735.
To replace mechanical ventilation (MV), which represents the cornerstone therapy in severe COVID-19 cases, high-flow nasal oxygen (HFNO) therapy has recently emerged as a less-invasive therapeutic possibility for those patients. Respecting the risk of MV delay as a result of HFNO use, we aimed to evaluate which parameters could determine the risk of in-hospital mortality in HFNO-treated COVID-19 patients. This single-center cohort study included 102 COVID-19-positive patients treated with HFNO. Standard therapeutic methods and up-to-date protocols were used. Patients who underwent a fatal event (41.2%) were significantly older, mostly male patients, and had higher comorbidity burdens measured by CCI. In a univariate analysis, older age, shorter HFNO duration, ventilator initiation, higher CCI and lower ROX index all emerged as significant predictors of adverse events ( < 0.05). Variables were dichotomized and included in the multivariate analysis to define their relative weights in the computed risk score model. Based on this, a risk score model for the prediction of in-hospital mortality in COVID-19 patients treated with HFNO consisting of four variables was defined: CCI > 4, ROX index ≤ 4.11, LDH-to-WBC ratio, age > 65 years (CROW-65). The main purpose of CROW-65 is to address whether HFNO should be initiated in the subgroup of patients with a high risk of in-hospital mortality.
为替代机械通气(MV),机械通气是重症新型冠状病毒肺炎(COVID-19)病例的基石疗法,高流量鼻导管给氧(HFNO)疗法最近已成为这些患者一种侵入性较小的治疗选择。鉴于使用HFNO可能导致MV延迟的风险,我们旨在评估哪些参数可确定接受HFNO治疗的COVID-19患者的院内死亡风险。这项单中心队列研究纳入了102例接受HFNO治疗的COVID-19阳性患者。采用了标准治疗方法和最新方案。发生致命事件的患者(41.2%)年龄显著更大,多为男性患者,且按Charlson合并症指数(CCI)衡量的合并症负担更高。在单因素分析中,年龄较大、HFNO持续时间较短、启动机械通气、CCI较高和ROX指数较低均成为不良事件的显著预测因素(P<0.05)。对变量进行二分法处理并纳入多因素分析,以确定它们在计算出的风险评分模型中的相对权重。基于此,定义了一个由四个变量组成的预测接受HFNO治疗的COVID-19患者院内死亡的风险评分模型:CCI>4、ROX指数≤4.11、乳酸脱氢酶与白细胞比值、年龄>65岁(CROW-65)。CROW-65的主要目的是解决是否应在院内死亡风险较高的患者亚组中启动HFNO治疗的问题。