Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy -
E.O. Ospedali Galliera, Genoa, Italy -
Minerva Anestesiol. 2021 Apr;87(4):432-438. doi: 10.23736/S0375-9393.21.15129-6. Epub 2021 Feb 17.
The aim of this study was to evaluate whether measurement of diaphragm thickness (DT) by ultrasonography may be a clinically useful noninvasive method for identifying patients at risk of adverse outcomes defined as need of invasive mechanical ventilation or death.
We prospectively enrolled 77 patients with laboratory-confirmed COVID-19 infection admitted to our intermediate care unit in Pisa between March 5 and March 30, 2020, with follow-up until hospital discharge or death. Logistic regression was used identify variables potentially associated with adverse outcomes and those P<0.10 were entered into a multivariate logistic regression model. Cumulative probability for lack of adverse outcomes in patients with or without low baseline diaphragm muscle mass was calculated with the Kaplan-Meier product-limit estimator.
The main findings of this study are that: 1) patients who developed adverse outcomes had thinner diaphragm than those who did not (2.0 vs. 2.2 mm, P=0.001); and 2) DT and lymphocyte count were independent significant predictors of adverse outcomes, with end-expiratory DT being the strongest (ß=-708; OR=0.492; P=0.018).
Diaphragmatic ultrasound may be a valid tool to evaluate the risk of respiratory failure. Evaluating the need of mechanical ventilation treatment should be based not only on PaO
本研究旨在评估超声测量膈肌厚度(DT)是否可作为一种临床有用的无创方法,用于识别有不良结局风险的患者,不良结局定义为需要有创机械通气或死亡。
我们前瞻性纳入了 2020 年 3 月 5 日至 3 月 30 日期间入住比萨中级护理病房的 77 例经实验室确诊的 COVID-19 感染患者,随访至出院或死亡。采用逻辑回归来确定与不良结局相关的潜在变量,将 P<0.10 的变量纳入多变量逻辑回归模型。采用 Kaplan-Meier 乘积限估计计算基线膈肌肌肉质量低的患者和无低基线膈肌肌肉质量患者发生不良结局的累积概率。
本研究的主要发现为:1)发生不良结局的患者膈肌较无不良结局的患者薄(2.0 毫米对 2.2 毫米,P=0.001);2)DT 和淋巴细胞计数是不良结局的独立显著预测因子,呼气末膈肌厚度的预测能力最强(ß=-708;OR=0.492;P=0.018)。
膈肌超声可能是评估呼吸衰竭风险的有效工具。评估是否需要机械通气治疗不应仅基于 PaO