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10.23736/S0375-9393.21.15129-6

http://scihub22266oqcxt.onion/10.23736/S0375-9393.21.15129-6
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suck abstract from ncbi

pmid33594871      Minerva+Anestesiol 2021 ; 87 (4): 432-438
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  • Low diaphragm muscle mass predicts adverse outcome in patients hospitalized for COVID-19 pneumonia: an exploratory pilot study #MMPMID33594871
  • Corradi F; Isirdi A; Malacarne P; Santori G; Barbieri G; Romei C; Bove T; Vetrugno L; Falcone M; Bertini P; Guarracino F; Landoni G; Forfori F
  • Minerva Anestesiol 2021[Apr]; 87 (4): 432-438 PMID33594871show ga
  • BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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 PaO2/FiO2, but on a more comprehensive assessment including DT because if the lungs become less compliant a thinner diaphragm, albeit free of intrinsic abnormality, may become exhausted, thus contributing to severe respiratory failure.
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |COVID-19/*diagnostic imaging/mortality/therapy[MESH]
  • |Cohort Studies[MESH]
  • |Diaphragm/anatomy & histology/pathology[MESH]
  • |Female[MESH]
  • |Hospital Mortality[MESH]
  • |Humans[MESH]
  • |Italy/epidemiology[MESH]
  • |Kaplan-Meier Estimate[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pilot Projects[MESH]
  • |Pneumonia, Viral/*diagnostic imaging/mortality/therapy[MESH]
  • |Predictive Value of Tests[MESH]
  • |Respiration, Artificial/statistics & numerical data[MESH]
  • |Respiratory Insufficiency/diagnostic imaging/etiology/mortality[MESH]
  • |Respiratory Muscles/*anatomy & histology/diagnostic imaging[MESH]
  • |Treatment Outcome[MESH]


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