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. 2020 Jun 16;24:348. doi: 10.1186/s13054-020-03044-9

Invasive mechanical ventilation in COVID-19 patient management: the experience with 469 patients in Wuhan

Jing Hua 1,#, Chenchen Qian 2,#, Zhibing Luo 1,#, Qiang Li 1,, Feilong Wang 1,
PMCID: PMC7296285  PMID: 32546258

Dear Editor,

Since the first case of COVID-19 was reported in Wuhan, this new respiratory disease has evolved rapidly and been found in almost all the countries in the world. From our clinical experiences during managing COVID-19 patients, we observed an extremely high fatality rate in invasive ventilation (IV) patients which was astonishing and unexpected.

To validate our assumption, we collected and analyzed the data of 469 ICU COVID-19 patients who were hospitalized from February 2020 to the end of March in 13 ICUs in Wuhan. At the time of data collection, all of the patients were either discharged or deceased (Table 1).

Table 1.

Centers and study periods

Centers Study period No. of cases
Huoshenshan Hospital (2 ICUs) February 2 to March 31 118
Leishenshan Hospital (2 ICUs) February 23 to March 31 41
Guanggu Hospital (2 ICUs) February 21 to March 25 40
Taikang Hospital (2 ICUs) February 11 to March 21 42
Zhongfaxincheng Hospital (3 ICUs) February 8 to March 15 147
Wuhan Fifth Hospital (1 ICU) February 20 to March 31 21
Union Hospital (1 ICU) February 15 to March 31 60

Clinical features, laboratory results on admission, and outcomes are shown in Table 2. We found that the mortality rate in the IV group was 92%, compared to the other two groups (6.4% in the NV group, 40.8% in the NIV group). Furthermore, patients in the IV group developed a higher rate of severe comorbidities such as acute kidney injury (AKI) which required continuous renal replacement therapy (CRRT) (26.5%) compared to the NV (2.9%) and NIV (5.3%) groups. Moreover, 10 patients (8.8%) in the IV group received ECMO implementation.

Table 2.

Clinical features, laboratory results on admission, and outcomes of the study patients

All (n = 469) No ventilation (n = 204) Invasive ventilation (n = 113) Noninvasive ventilation (n = 152) P
Age 68 ± 13 67 ± 15 71 ± 10 67 ± 13 0.030
Sex 0.034
 Male 266 (56.7) 108 (52.9) 76 (67.3) 82 (53.9)
 Female 203 (43.3) 96 (47.1) 37 (32.7) 70 (46.1)
Comorbidities, no. (%)
 Hypertension 240 (51.4) 99 (48.5) 56 (49.6) 85 (56.7) 0.288
 Diabetes 110 (23.6) 41 (20.1) 28 (24.8) 41 (27.3) 0.268
 Coronary artery disease 84 (18.0) 44 (21.6) 20 (17.9) 20 (13.3) 0.137
 Chronic obstructive lung disease 52 (11.1) 13 (6.4) 8 (7.1) 31 (20.7) < 0.001
 Chronic kidney disease 42 (9.0) 21 (10.3) 8 (7.1) 13 (8.7) 0.623
Laboratory results on admission
 White blood cell count, × 109/L 9.4 ± 6.0 6.9 ± 3.6 12.7 ± 8.0 10.2 ± 5.2 < 0.001
 Neutrophil count, × 109/L 8.5 ± 9.2 5.7 ± 6.4 12.6 ± 11.9 8.6 ± 5.1 < 0.001
 Lymphocyte count, × 109/L 0.9 ± 0.6 1.0 ± 0.5 0.7 ± 0.8 0.9 ± 0.6 0.002
 NLR (neutrophil/lymphocyte ratio) 13.1 ± 13.5 7.8 ± 9.3 21.3 ± 16.0 13.9 ± 13.0 < 0.001
 Monocytes, count, × 109/L 0.5 ± 0.4 0.5 ± 0.6 0.5 ± 0.4 0.5 ± 0.3 0.947
 Platelet count, × 109/L 214 ± 112 225 ± 97 180 ± 123 223 ± 118 0.001
 C-reactive protein (mg/L) 78.7 ± 83.6 47.0 ± 51.4 116.1 ± 94.2 92.6 ± 93.8 < 0.001
 Procalcitonin (ng/ml) 1.9 ± 8.8 0.7 ± 4.7 2.8 ± 10.5 2.7 ± 10.9 0.078
 ALT (U/L) 47.1 ± 95.2 31.6 ± 30.2 80.8 ± 179.1 44.3 ± 40.9 < 0.001
 AST (U/L) 60.2 ± 227.0 31.2 ± 25.0 110.7 ± 429.4 60.9 ± 138.3 0.019
 Total bilirubin (μmol/L) 14.7 ± 11.5 11.0 ± 5.7 18.1 ± 13.2 16.8 ± 14.1 < 0.001
 Direct bilirubin (μmol/L) 8.1 ± 7.5 5.0 ± 5.1 9.9 ± 9.2 10.6 ± 7.3 < 0.001
 Albumin (g/L) 32.0 ± 5.6 32.7 ± 4.6 30.1 ± 7.0 32.4 ± 5.4 < 0.001
d-dimer (μg/mL) 5.9 ± 11.9 3.1 ± 5.3 13.2 ± 20.5 4.5 ± 7.0 0.276
 Glucose (mmol/L) 8.7 ± 4.7 7.1 ± 3.3 10.3 ± 6.8 9.5 ± 3.9 < 0.001
 Serum creatine (Scr) (μmol/L) 128.3 ± 190.7 124.5 ± 197.5 119.2 ± 165.2 140.2 ± 199.9 0.636
 SOFA score on day 1 4.2 ± 3.1 2.2 ± 2.2 6.0 ± 3.0 5.5 ± 2.7 < 0.001
Continuous renal replacement therapy (CRRT), no. (%) 44 (9.4) 6 (2.9) 30 (26.5) 8 (5.3) < 0.001
Extracorporeal membrane oxygenation (ECMO), no. (%) 10 (3.1) 0 (0.0) 10 (8.8) 0 (0.0) < 0.001
Length of hospital stay (days) 20.4 ± 13.2 27.3 ± 14.7 17.9 ± 12.3 16.1 ± 9.6 < 0.001
Mortality, no. (%) 179 (38.2) 13 (6.4) 104 (92.0) 62 (40.8) < 0.001

The mean age in the IV group was 71, which was significantly higher than the other two groups (67 in both the NIV group and NV group, P = 0.03). There were no significant differences in comorbidities on admission except chronic obstructive pulmonary disease (COPD). Interestingly, there were even more cases of COPD in the NIV group (31, 20.7%) than in the IV group (8, 7.1%). This could be explained that physicians tend to avoid intubation in chronic lung disease patients due to concern of barotrauma and higher DNR/DNI ratio in those patients. From laboratory results, significantly higher white blood cell count, lower lymphocyte count and platelet count, and higher CRP, AST, ALT, and total bilirubin are presented in the IV group than the other two groups on admission. SOFA scores in the IV and NIV groups were also significantly higher than the NV group. There were no significant differences in Scr among these groups on admission though. We can tell from the data that the patients in the IV group were older with a higher rate of hyperinflammation status on admission compared to the other two groups. These factors may lead to the rapid progress of respiratory failure and fatal outcome eventually [1].

Researchers worldwide also start to realize that IV may not improve the mortality in COVID-19 patients [2, 3]. We have to admit that some of the COVID-19 patients who developed progressive worsening respiratory distress were refractory to NIV. Intubation is inevitable in those cases. However, sometimes physicians can be rushed to intubation. It has been reported that intubation can be successfully avoided by HFNO [4, 5].

As we all know, IV can cause a lot of complications including hypotension, ventilator-related infection, volume imbalance, and sedation-related delirium. The decision of intubation mostly based on clinical judgments and varies from case to case. There is a notion that NIV causes wide-spread dispersion of aerosol thus increases the risk of transmission to healthcare workers. This could be one of the reasons that encourages physicians to choose IV over NIV among clinical decisions [5].

In conclusion, from our data in Wuhan, COVID-19 patients who were invasively ventilated exhibited pessimistic outcomes. This suggests that early intubation may not help patients but instead, make things head towards the wrong direction. We should try to avoid IV and utilize NIV at the early stage of respiratory failure until IV is inevitable [6]. It is time for physicians to rethink the threshold of intubation in COVID-19 management.

Acknowledgements

None.

Abbreviations

Covid-19

Coronavirus disease 2019

NV

No ventilation (nasal cannula oxygen)

NIV

Noninvasive ventilation (BiPAP, CPAP, or high-flow nasal oxygen)

IV

Invasive ventilation

HFNO

High-flow nasal oxygen

Authors’ contributions

Jing Hua and Zhibing Luo contributed to the collection and analysis of the clinical data. Chenchen Qian drafted the manuscript and critically reviewed the manuscript. Feilong Wang and Qiang Li conceptualized the study design and contributed to the analysis of the clinical data. The authors read and approved the final manuscript.

Funding

This work was supported by the National Key Research and Development Project of the Ministry of Science and Technology, China (2018YFC1313700) and the “Gaoyuan” project of Pudong Health and Family Planning Commission (PWYgy2018-6).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Ethics approval and consent to participate

The study was approved by the Shanghai East Ethics Committee.

Consent for publication

Written informed consent was waived by the Ethics Committee due to the retrospective nature of this study and rapid emergence of this infectious disease.

Competing interests

All authors declare no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Jing Hua, Chenchen Qian and Zhibing Luo contributed equally to this work.

Contributor Information

Qiang Li, Email: liqressh@hotmail.com.

Feilong Wang, Email: dr.feilongwang@gmail.com.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


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