Patients in intensive care unit for COVID-19 pneumonia: the lung ultrasound patterns at admission and discharge. An observational pilot study

被引:9
作者
Paolo, Persona [1 ]
Ilaria, Valeri [2 ]
Francesco, Zarantonello [1 ]
Edoardo, Forin [2 ]
Nicolo, Sella [2 ]
Giulio, Andreatta [2 ]
Christelle, Correale [2 ]
Eugenio, Serra [1 ]
Annalisa, Boscolo [1 ]
Giovanni, Volpicelli [3 ]
Paolo, Navalesi [1 ,2 ]
机构
[1] Padua Univ Hosp, Inst Anesthesia & Crit Care, Via V Gallucci 13, I-35121 Padua, Italy
[2] Univ Padua, Dept Med DIMED, Anesthesia & Crit Care, Padua, Italy
[3] San Luigi Gonzaga Univ Hosp, Dept Emergency Med, Turin, Italy
关键词
ULTRASONOGRAPHY; DIAGNOSIS; ACCURACY; POINT;
D O I
10.1186/s13089-021-00213-x
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: During COVID-19 pandemic, optimization of the diagnostic resources is essential. Lung Ultrasound (LUS) is a rapid, easy-to-perform, low cost tool which allows bedside investigation of patients with COVID-19 pneumonia. We aimed to investigate the typical ultrasound patterns of COVID-19 pneumonia and their evolution at different stages of the disease. Methods: We performed LUS in twenty-eight consecutive COVID-19 patients at both admission to and discharge from one of the Padua University Hospital Intensive Care Units (ICU). LUS was performed using a low frequency probe on six different areas per each hemithorax. A specific pattern for each area was assigned, depending on the prevalence of A-lines (A), non-coalescent B-lines (B1), coalescent B-lines (B2), consolidations (C). A LUS score (LUSS) was calculated after assigning to each area a defined pattern. Results: Out of 28 patients, 18 survived, were stabilized and then referred to other units. The prevalence of C pattern was 58.9% on admission and 61.3% at discharge. Type B2 (19.3%) and B1 (6.5%) patterns were found in 25.8% of the videos recorded on admission and 27.1% (17.3% B2; 9.8% B1) on discharge. The A pattern was prevalent in the anterosuperior regions and was present in 15.2% of videos on admission and 11.6% at discharge. The median LUSS on admission was 27.5 [21-32.25], while on discharge was 31 [17.5-32.75] and 30.5 [27-32.75] in respectively survived and non-survived patients. On admission the median LUSS was equally distributed on the right hemithorax (13; 10.75-16) and the left hemithorax (15; 10.75-17). Conclusions: LUS collected in COVID-19 patients with acute respiratory failure at ICU admission and discharge appears to be characterized by predominantly lateral and posterior non-translobar C pattern and B2 pattern. The calculated LUSS remained elevated at discharge without significant difference from admission in both groups of survived and non-survived patients.
引用
收藏
页数:7
相关论文
共 19 条
  • [1] Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
    Ai, Tao
    Yang, Zhenlu
    Hou, Hongyan
    Zhan, Chenao
    Chen, Chong
    Lv, Wenzhi
    Tao, Qian
    Sun, Ziyong
    Xia, Liming
    [J]. RADIOLOGY, 2020, 296 (02) : E32 - E40
  • [2] Bouhemad B., 2017, ANESTHESIOLOGY, V2, P447
  • [3] Assessment of Lung Aeration and Recruitment by CT Scan and Ultrasound in Acute Respiratory Distress Syndrome Patients*
    Chiumello, Davide
    Mongodi, Silvia
    Algieri, Ilaria
    Vergani, Giordano Luca
    Orlando, Anita
    Via, Gabriele
    Crimella, Francesco
    Cressoni, Massimo
    Mojoli, Francesco
    [J]. CRITICAL CARE MEDICINE, 2018, 46 (11) : 1761 - 1768
  • [4] Critical Care Utilization for the COVID-19 Outbreak in Lombardy, Italy Early Experience and Forecast During an Emergency Response
    Grasselli, Giacomo
    Pesenti, Antonio
    Cecconi, Maurizio
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2020, 323 (16): : 1545 - 1546
  • [5] Guarracino F., 2020, J CARDIOTHORACVASCAN, V11, pS1053
  • [6] A role for CT in COVID-19? What data really tell us so far
    Hope, Michael D.
    Raptis, Constantine A.
    Shah, Amar
    Hammer, Mark M.
    Henry, Travis S.
    [J]. LANCET, 2020, 395 (10231) : 1189 - 1190
  • [7] I-AIM (Indication, Acquisition, Interpretation, Medical Decision-making) Framework for Point of Care Lung Ultrasound
    Kruisselbrink, Richelle
    Chan, Vincent
    Cibinel, Gian Alfonso
    Abrahamson, Simon
    Goffi, Alberto
    [J]. ANESTHESIOLOGY, 2017, 127 (03) : 568 - 582
  • [8] Modified Lung Ultrasound Score for Assessing and Monitoring Pulmonary Aeration
    Mongodi, Silvia
    Bouhemad, Belaid
    Orlando, Anita
    Stella, Andrea
    Tavazzi, Guido
    Via, Gabriele
    Iotti, Giorgio Antonio
    Braschi, Antonio
    Mojoli, Francesco
    [J]. ULTRASCHALL IN DER MEDIZIN, 2017, 38 (05): : 530 - 537
  • [9] Diagnostic accuracy of lung ultrasonography combined with procalcitonin for the diagnosis of pneumonia: a pilot study
    Nazerian P.
    Cerini G.
    Vanni S.
    Gigli C.
    Zanobetti M.
    Bartolucci M.
    Grifoni S.
    Volpicelli G.
    [J]. Critical Ultrasound Journal, 2016, 8 (1)
  • [10] Accuracy of Point-of-Care Multiorgan Ultrasonography for the Diagnosis of Pulmonary Embolism
    Nazerian, Peiman
    Vanni, Simone
    Volpicelli, Giovanni
    Gigli, Chiara
    Zanobetti, Maurizio
    Bartolucci, Maurizio
    Ciavattone, Antonio
    Lamorte, Alessandro
    Veltri, Andrea
    Fabbri, Andrea
    Grifoni, Stefano
    [J]. CHEST, 2014, 145 (05) : 950 - 957