Parasternal intercostal thickening at hospital admission: a promising indicator for mechanical ventilation risk in subjects with severe COVID-19

被引:4
|
作者
Helmy, Mina A. [1 ]
Milad, Lydia M. [1 ]
Hasanin, Ahmed M. [1 ,3 ]
Mostafa, Maha [1 ]
Mannaa, Asser H. [1 ]
Youssef, Marianne M. [1 ]
Abdelaziz, Mahmoud [1 ]
Alkonaiesy, Ramy [1 ]
Elshal, Mamdouh Mahmoud [2 ]
Hosny, Osama [1 ]
机构
[1] Cairo Univ, Dept Anesthesia & Crit Care Med, Cairo, Egypt
[2] Cairo Univ, Natl Canc Inst, Dept Anesthesia & Crit Care Med, Cairo, Egypt
[3] Cairo Univ, Fac Med, Crit Care Med, Cairo, Egypt
关键词
COVID-19; Parasternal intercostal thickening; Ultrasound; PaO2/FIO2; ratio; Mechanical ventilation; ROX index;
D O I
10.1007/s10877-023-00989-4
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
We aimed to evaluate the ability of parasternal intercostal thickening fraction (PIC TF) to predict the need for mechanical ventilation, and survival in subjects with severe Coronavirus disease-2019 (COVID-19). This prospective observational study included adult subjects with severe COVID-19. The following data were collected within 12 h of admission: PIC TF, respiratory rate oxygenation index, P-aO2/F-iO2 ratio, chest CT, and acute physiology and chronic health evaluation II score. The ability of PIC TF to predict the need for ventilatory support (primary outcome) and a composite of invasive mechanical ventilation and/or 30-days mortality were performed using the area under the receiver operating characteristic (AUC) analysis. Multivariate analysis was done to identify the independent predictors for the outcomes. Fifty subjects were available for the final evaluation. The AUC (95% confidence interval [CI]) for the right and left PIC TF ability to predict the need for ventilator support was 0.94 (0.83-0.99), 0.94 (0.84-0.99), respectively, with a cut off value of > 8.3% and positive predictive value of 90-100%. The AUC for the right and left PIC TF to predict invasive mechanical ventilation and/or 30 days mortality was 0.95 (0.85-0.99) and 0.90 (0.78-0.97), respectively. In the multivariate analysis, only the PIC TF was found to independently predict invasive mechanical ventilation and/or 30-days mortality. In subjects with severe COVID-19, PIC TF of 8.3% can predict the need to ventilatory support with a positive predictive value of 90-100%. PIC TF is an independent risk factor for the need for invasive mechanical ventilation and/or 30-days mortality.
引用
收藏
页码:1287 / 1293
页数:7
相关论文
共 50 条
  • [21] Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission
    Tummala, Anusha
    Ramesh, Venkat
    Balakrishna, Nagalla
    Koyyada, Rajeswari
    Singh, Anula Divyash
    Patnam, Sreekanth
    Satish Kumar, M.
    Varahala, Sneha
    Manda, Sasidhar V.
    Narreddy, Suneetha
    BIOMED RESEARCH INTERNATIONAL, 2022, 2022
  • [22] Covid-19: Boys are more at risk of myocarditis after vaccination than of hospital admission for covid
    Munro, Clara
    BMJ-BRITISH MEDICAL JOURNAL, 2021, 374 : n2251
  • [23] Therapeutic efficacy, mechanical ventilation, length of hospital stay, and mortality rate in severe COVID-19 patients treated with tocilizumab
    Sarhan, Rania M.
    Madney, Yasmin M.
    Abou Warda, Ahmed E.
    Boshra, Marian S.
    INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, 2021, 75 (06)
  • [24] Weight Cycling Is Associated with ICU Admission and Mechanical Ventilation in Adults with Diabetes Hospitalized with COVID-19
    Kang, Yu Mi
    Simonson, Donald C.
    Chaugule, Akshata S.
    Garg, Rajesh K.
    Gopalakrishnan, Geetha
    Howard, Kyra
    Lebastchi, Jasmin
    Mitri, Joanna
    Palermo, Nadine E.
    Weinstock, Ruth S.
    Mcdonnell, Marie E.
    DIABETES, 2023, 72
  • [25] Tocilizumab shortens time on mechanical ventilation and length of hospital stay in patients with severe COVID-19: a retrospective cohort study
    Eimer, J.
    Vesterbacka, J.
    Svensson, A. -K.
    Stojanovic, B.
    Wagrell, C.
    Sonnerborg, A.
    Nowak, P.
    JOURNAL OF INTERNAL MEDICINE, 2021, 289 (03) : 434 - 436
  • [26] Usefulness of the CONUT index upon hospital admission as a potential prognostic indicator of COVID-19 health outcomes
    Bengelloun, Adrian K.
    Ortega, Guillermo J.
    Ancochea, Julio
    Sanz-Garcia, Ancor
    Rodriguez-Serrano, Diego A.
    Fernandez-Jimenez, Guillermo
    Giron, Rosa
    Avalos, Elena
    Soriano, Joan B.
    Ignacio de Ulibarri, J.
    CHINESE MEDICAL JOURNAL, 2022, 135 (02) : 187 - 193
  • [27] Efficacy of Naldemedine in the Management of Constipation in a Patient with Severe COVID-19 Receiving Mechanical Ventilation
    Hikita, Eri
    Hashimoto, Mituko
    Yasu, Takeo
    Shirota, Mikio
    Nakamura, Kazuha
    JOURNAL OF PALLIATIVE MEDICINE, 2021, 24 (05) : 651 - 652
  • [28] THE FEASIBILITY OF ECMO BEFORE MECHANICAL VENTILATION FOR SEVERE RESPIRATORY FAILURE DUE TO COVID-19
    Della Volpe, Jeffrey
    Gidwani, Hitesh
    Yeramaneni, Samrat
    Sterling, Rachel
    Kunavarapu, Chandra
    Batchinsky, Andriy
    Dezfulian, Cameron
    CRITICAL CARE MEDICINE, 2023, 51 (01) : 85 - 85
  • [29] Early improvements in pulmonary function after severe COVID-19 requiring mechanical ventilation
    Bonnesen, Barbara
    Toennesen, Louise Lindhardt
    Rasmussen, Kirsten Braendholt
    Nessar, Rafi
    Nielsen, Henning Bay
    Hildebrandt, Thomas
    Sloth, Carsten
    Baylarova, Turana Ali Gizi
    Moerch, Sofie Soendergaard
    Borg, Rikke
    INFECTIOUS DISEASES, 2021, 53 (03) : 218 - 221
  • [30] Cancer and Coronavirus Disease (COVID-19): Comorbidity, Mechanical Ventilation, and Death Risk
    Jarahzadeh, Mohammad Hossein
    Asadian, Fatemeh
    Farbod, Meraj
    Meibodi, Bahare
    Abbasi, Hajar
    Jafari, Mohammadali
    Raee-Ezzabadi, Ali
    Bahrami, Reza
    Neamatzadeh, Hossein
    JOURNAL OF GASTROINTESTINAL CANCER, 2021, 52 (01) : 80 - 84