A Brief Analysis of a New Device to Prevent Early Intubation in Hypoxemic Patients: An Observational Study
Source abstract
Abstract
The need for mechanical ventilation is one of the main concerns related to the care of patients with COVID-19. The aim of this study is to evaluate the efficacy of a bubble device for oxygen supplementation. This device was implemented for the selected patients hospitalized with severe COVID-19 pneumonia with persistent low oxygen saturation. Patients were selected in three major COVID-19 hospitals of Bahia state in Brazil from July to November 2020, where they remained with the device for seven days and were monitored for different factors, such as vital signs, oximetry evaluation, and arterial blood gasometry. Among the 51 patients included in the study, 68.63% successfully overcame hypoxemia without the necessity to be transferred to mechanical ventilation, whereas 31.37% required tracheal intubation (p value < 0.05). There was no difference of note on the analysis of the clinical data, chemistry, and hematological evaluation, with the exception of the SpO2 on follow-up days. Multivariate analysis revealed that the independent variable, male sex, SpO2, and non-inhaled mask, was associated with the necessity of requiring early mechanical ventilation. We concluded that this bubble device should be a prior step to be utilized before indication of mechanical ventilation in patients with persistent hypoxemia of severe COVID-19 pneumonia.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Respiratory Support and Mechanisms · COVID-19 Clinical Research Studies · Long-Term Effects of COVID-19
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
SENAI Institute of Innovation (ISI) in Health Advanced Systems (CIMATEC ISI SAS), University Center SENAI/CIMATEC, Salvador 41650-010, Brazil
SENAI CIMATEC, National Service of Industrial Learning—SENAI, Computational Modeling and Industrial Technology, University Center SENAI/CIMATEC, Salvador 41650-010, Brazil
Espanhol Hospital COVID-19, Salvador 40140-110, Brazil
UNIMED Hospital, Feira de Santana 44052-064, Brazil
References (90)
Show source-provided references
1. A novel coronavirus from patients with pneumonia in China, 201910.1056/NEJMoa2001017 ↗
2. Evaluation of two automated and three rapid lateral flow immunoassays for the detection of anti-SARS-CoV-2 antibodies10.1016/j.jcv.2020.104413 ↗
3. Genomic characterisation and epidemiology of 2019 novel coronavirus: Implications for virus origins and receptor binding10.1016/S0140-6736(20)30251-8 ↗
4. Insights from the comparisons of SARS-CoV and COVID-19 outbreaks10.1097/MD.0000000000024650 ↗
5. Differences and similarities between SARS-CoV and SARS-CoV-2: Spike receptor-binding domain recognition and host cell infection with support of cellular serine proteases10.1007/s15010-020-01486-5 ↗
6. Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle10.1002/jmv.25678 ↗
7. (2022, May 12). WHO WHO Coronavirus Disease (COVID-19) Dashboard. Available online: https://covid19.who.int/.
8. Brazil’s health system functionality amidst of the COVID-19 pandemic: An analysis of resilience
9. The Brazilian Government’s mistakes in responding to the COVID-19 pandemic10.1016/S0140-6736(20)32164-4 ↗
10. Akhtar, Z., Sharma, S., Elbatran, A.I., Leung, L.W.M., Kontogiannis, C., Spartalis, M., Roberts, A., Bajpai, A., Zuberi, Z., and Gallagher, M.M. (2022). Medium-term outcomes in COVID-19. J. Clin. Med., 11.10.3390/jcm11072033 ↗
11. Transmission of 2019-nCoV infection from an asymptomatic contact in Germany10.1056/NEJMc2001468 ↗
12. Milovančev, A., Petrović, M., Popadić, V., Miljković, T., Klašnja, S., Djuran, P., Ilić, A., Kovačević, M., Stojšić Milosavljević, A., and Brajković, M. (2022). Characteristics and outcomes of patients with acute coronary syndrome and COVID-19. J. Clin. Med., 11.10.3390/jcm11071791 ↗
13. Extrapulmonary manifestations of COVID-1910.1038/s41591-020-0968-3 ↗
14. Yelin, D., Margalit, I., Nehme, M., Bordas-Martínez, J., Pistelli, F., Yahav, D., Guessous, I., Durà-Miralles, X., Carrozzi, L., and Shapira-Lichter, I. (2022). Patterns of long COVID symptoms: A multi-center cross sectional study. J. Clin. Med., 11.10.3390/jcm11040898 ↗
15. Comorbidity and its impact on 1590 patients with COVID-19 in China: A nationwide analysis10.1183/13993003.00547-2020 ↗
16. Nogueira, P.J., de Araújo Nobre, M., Elias, C., Feteira-Santos, R., Martinho, A.C.-V., Camarinha, C., Bacelar-Nicolau, L., Costa, A.S., Furtado, C., and Morais, L. (2022). Multimorbidity profile of COVID-19 deaths in Portugal during 2020. J. Clin. Med., 11.10.3390/jcm11071898 ↗
17. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China10.1001/jama.2020.2648 ↗
18. Chidambaram, V., Tun, N.L., Haque, W.Z., Majella, M.G., Sivakumar, R.K., Kumar, A., Hsu, A.T.-W., Ishak, I.A., Nur, A.A., and Ayeh, S.K. (2020). Factors associated with disease severity and mortality among patients with COVID-19: A systematic review and meta-analysis. PLoS ONE, 15.10.1371/journal.pone.0241541 ↗
19. Izcovich, A., Ragusa, M.A., Tortosa, F., Lavena Marzio, M.A., Agnoletti, C., Bengolea, A., Ceirano, A., Espinosa, F., Saavedra, E., and Sanguine, V. (2020). Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review. PLoS ONE, 15.10.1101/2020.04.08.20056598 ↗
20. 6-month consequences of COVID-19 in patients discharged from hospital: A cohort study10.1016/S0140-6736(20)32656-8 ↗
21. Roedl, K., Jarczak, D., Boenisch, O., de Heer, G., Burdelski, C., Frings, D., Sensen, B., Nierhaus, A., Kluge, S., and Wichmann, D. (2022). Chronic critical illness in patients with COVID-19: Characteristics and outcome of prolonged intensive care therapy. J. Clin. Med., 11.10.3390/jcm11041049 ↗
22. Coronavirus disease 2019–COVID-1910.1128/CMR.00028-20 ↗
23. Modeling lung perfusion abnormalities to explain early COVID-19 hypoxemia10.1038/s41467-020-18672-6 ↗
24. Laboratory findings associated with severe illness and mortality among hospitalized individuals with coronavirus disease 2019 in eastern Massachusetts10.1001/jamanetworkopen.2020.23934 ↗
25. Intensive care management of coronavirus disease 2019 (COVID-19): Challenges and recommendations10.1016/S2213-2600(20)30161-2 ↗
26. Early management of critically ill patients with COVID-1910.1002/emp2.12294 ↗
27. Pragmatic recommendations for intubating critically ill patients with suspected COVID-1910.1002/emp2.12063 ↗
28. Expert recommendations for tracheal intubation in critically ill patients with noval coronavirus disease 2019
29. Consensus guidelines for managing the airway in patients with COVID-1910.1111/anae.15054 ↗
30. Effect of early vs. delayed or no intubation on clinical outcomes of patients With COVID-19: An observational study10.3389/fmed.2020.614152 ↗
31. Intensive care management of patients with COVID-19: A practical approach10.1186/s13613-021-00820-w ↗
32. Invasive and non-invasive ventilation in patients with COVID-19
33. A quantitative evaluation of aerosol generation during tracheal intubation and extubation10.1111/anae.15292 ↗
34. High-Flow, Noninvasive ventilation and awake (Nonintubation) proning in patients with coronavirus disease 2019 with respiratory failure10.1016/j.chest.2020.07.013 ↗
35. Alternatives to invasive ventilation in the COVID-19 pandemic10.1001/jama.2020.9611 ↗
36. COVID-19: ICU delirium management during SARS-CoV-2 pandemic10.1186/s13054-020-02882-x ↗
37. COVID-19 hospital admissions: Brazil’s first and second waves compared10.1016/S2213-2600(21)00287-3 ↗
38. Characterisation of the first 250 000 hospital admissions for COVID-19 in Brazil: A retrospective analysis of nationwide data10.1016/S2213-2600(20)30560-9 ↗
39. (2021). WHO Clinical Management Clinical Management Living Guidance COVID-19, WHO.
40. Ministry of Health (2021). Orientações Sobre a Otimização Do Uso de Oxigênio e Suporte Ventilatório em Pacientes Graves com COVID-19.
41. OPS (2020). Flowchart for the Management of COVID-19 Infection at the First Level of Care and in Remote Areas, OPS.
42. (2022, March 14). NIH Oxygenation and Ventilation, Available online: https://www.covid19treatmentguidelines.nih.gov/management/critical-care/oxygenation-and-ventilation/.
43. World Medical Association (2013). World medical association declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA J. Am. Med. Assoc., 310, 2191–2194.10.1001/jama.2013.281053 ↗
44. (2020, August 30). Cns Resolução no 466, de 12 de Dezembro de 2012, Available online: https://conselho.saude.gov.br/resolucoes/2012/Reso466.pdf.
45. Guidelines for the pharmacological treatment of COVID-19. The task force/consensus guideline of the Brazilian association of intensive care medicine, the Brazilian society of infectious diseases and the Brazilian society of pulmonology and tisiology10.5935/0103-507X.20200039 ↗
46. Moser, C.A., and Kalton, G. (2017). Survey Methods in Social Investigation, Routledge.10.4324/9781315241999 ↗
47. (2021, August 23). SMS Indicadores–SMS–COVID-19–Transparência, Available online: http://www.saude.salvador.ba.gov.br/covid/indicadorescovid/.
48. (2021, August 23). IBGE Salvador (BA)|Cidades e Estados, Available online: https://www.ibge.gov.br/cidades-e-estados/ba/salvador.html.
49. Indications for tracheal intubation in patients with coronavirus disease 2019 (COVID-19)10.1053/j.jvca.2020.11.062 ↗
50. Timing of intubation and mortality among critically ill coronavirus disease 2019 patients: A single-center cohort study10.1097/CCM.0000000000004600 ↗
51. Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation10.1007/s00330-020-07013-2 ↗
52. Hemodynamic characteristics of mechanically ventilated COVID-19 patients: A cohort analysis10.1155/2021/8882753 ↗
53. Oliveira, E., Parikh, A., Lopez-Ruiz, A., Carrilo, M., Goldberg, J., Cearras, M., Fernainy, K., Andersen, S., Mercado, L., and Guan, J. (2021). ICU outcomes and survival in patients with severe COVID-19 in the largest health care system in central Florida. PLoS ONE, 16.10.1371/journal.pone.0249038 ↗
54. Mechanical ventilation parameters in critically ill COVID-19 patients: A scoping review10.1186/s13054-021-03536-2 ↗
55. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study10.1016/S0140-6736(20)30566-3 ↗
56. Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York city area10.1001/jama.2020.6775 ↗
57. Clinical characteristics of coronavirus disease 2019 in China10.1056/NEJMoa2002032 ↗
58. Clinical characteristics of Covid-19 in New York city10.1056/NEJMc2010419 ↗
59. de Souza, F.S.H., Hojo-Souza, N.S., de Oliveira Batista, B.D., da Silva, C.M., and Guidoni, D.L. (2021). On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian database. PLoS ONE, 16.10.1371/journal.pone.0248580 ↗
60. Outcome of non-invasive ventilation in COVID-19 critically ill patients: A retrospective observational study10.1016/j.accpm.2020.07.012 ↗
61. Noninvasive ventilation in severe hypoxemic respiratory failure10.1164/rccm.200301-072OC ↗
62. Jin, M., Lu, Z., Zhang, X., Wang, Y., Wang, J., Cai, Y., Tian, K., Xiong, Z., Zhong, Q., and Ran, X. (2021). Clinical characteristics and risk factors of fatal patients with COVID-19: A retrospective cohort study in Wuhan, China. BMC Infect. Dis., 21.10.1186/s12879-021-06585-8 ↗
63. Evaluating characteristics associated with the mortality among invasive ventilation COIVD-19 patients10.1016/j.amsu.2021.102832 ↗
64. Helmet CPAP to treat hypoxic pneumonia outside the ICU: An observational study during the COVID-19 outbreak10.1186/s13054-021-03502-y ↗
65. Clinical characteristics and treatment outcomes of severe (ICU) COVID-19 patients in Saudi Arabia: A single centre study10.1016/j.jsps.2021.08.008 ↗
66. The role of obesity in predicting the clinical outcomes of COVID-1910.1159/000517180 ↗
67. Validity of ROX index in prediction of risk of intubation in patients with COVID-19 pneumonia10.5603/ARM.a2020.0176 ↗
68. Surviving sepsis campaign: Guidelines on the management of critically ill adults with coronavirus disease 2019 (COVID-19)10.1007/s00134-020-06022-5 ↗
69. The use of non-invasive ventilation in COVID-19: A systematic review10.1016/j.ijid.2021.03.078 ↗
70. COVID- 19 acute respiratory distress syndrome (ARDS): Clinical features and differences from typical pre-COVID-19 ARDS10.5694/mja2.50674 ↗
71. Continuous positive airway pressure to avoid intubation in SARS-CoV-2 pneumonia: A two-period retrospective case-control study10.1183/13993003.01692-2020 ↗
72. Noninvasive mechanical ventilation in patients having declined tracheal intubation10.1007/s00134-012-2746-2 ↗
73. Understanding blood gas analysis10.1007/s00134-017-4824-y ↗
74. Lung recruitability of COVID-19 pneumonia in patients undergoing helmet CPAP10.1016/j.arbres.2020.09.017 ↗
75. Interpreting arterial blood gases successfully10.1016/j.aorn.2015.08.002 ↗
76. Mejía, F., Medina, C., Cornejo, E., Morello, E., Vásquez, S., Alave, J., Schwalb, A., and Málaga, G. (2020). Oxygen saturation as a predictor of mortality in hospitalized adult patients with COVID-19 in a public hospital in Lima, Peru. PLoS ONE, 15.10.1371/journal.pone.0244171 ↗
77. Discrepancy between SpO2 and SaO2 in patients with COVID-1910.1111/anae.15228 ↗
78. Working accuracy of pulse oximetry in COVID-19 patients stepping down from intensive care: A clinical evaluation10.1136/bmjresp-2020-000778 ↗
79. Accuracy of two pulse-oximetry measurements for INTELLiVENT-ASV in mechanically ventilated patients: A prospective observational study10.1038/s41598-021-88608-7 ↗
80. Facing SpO2 and SaO2 discrepancies in ICU patients: Is the perfusion index helpful?10.1007/s10877-019-00371-3 ↗
81. AI-based analysis of CT images for rapid triage of COVID-19 patients10.1038/s41746-021-00446-z ↗
82. Satu, M.S., Howlader, K.C., Mahmud, M., Kaiser, M.S., Shariful Islam, S.M., Quinn, J.M.W., Alyami, S.A., and Moni, M.A. (2021). Short-term prediction of COVID-19 cases using machine learning models. Appl. Sci., 11.10.3390/app11094266 ↗
83. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: A descriptive study10.1016/S1473-3099(20)30086-4 ↗
84. Review of radiographic findings in COVID-1910.4329/wjr.v12.i8.142 ↗
85. Heterogeneity of clinical and radiological findings of COVID-19
86. Gresser, E., Rueckel, J., Puhr-Westerheide, D., Schwarze, V., Fink, N., Kunz, W.G., Wassilowsky, D., Irlbeck, M., Ricke, J., and Ingrisch, M. (2020). Prognostic value of admission chest CT findings for invasive ventilation therapy in COVID-19 pneumonia. Diagnostics, 10.10.3390/diagnostics10121108 ↗
87. Leoni, M.L.G., Lombardelli, L., Colombi, D., Bignami, E.G., Pergolotti, B., Repetti, F., Villani, M., Bellini, V., Rossi, T., and Halasz, G. (2021). Prediction of 28-day mortality in critically ill patients with COVID-19: Development and internal validation of a clinical prediction model. PLoS ONE, 16.10.1371/journal.pone.0254550 ↗
88. Chest CT severity score and radiological patterns as predictors of disease severity, ICU admission, and viral positivity in COVID-19 patients10.1016/j.resinv.2021.02.008 ↗
89. Spagnoli, L., Morrone, M.F., Giampieri, E., Paolani, G., Santoro, M., Curti, N., Coppola, F., Ciccarese, F., Vara, G., and Brandi, N. (2022). Outcome prediction for SARS-CoV-2 patients using machine learning modeling of clinical, radiological, and radiomic features derived from chest CT images. Appl. Sci., 12.10.3390/app12094493 ↗
90. CT lung lesions as predictors of early death or ICU admission in COVID-19 patients10.1016/j.cmi.2020.07.030 ↗