The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Mortality rates of patients with COVID-19 in the intensive care unit: a systematic review of the emerging literature
Open accessAbstract
The understanding of outcomes in the intensive care unit (ICU) for the coronavirus disease 2019 (COVID-19) remains poor. Studies have reported close to 100% mortality amongst patients requiring mechanical ventilation [1], and this together with the hypothesis that COVID19 may not cause classic acute respiratory distress syndrome (ARDS) has led to concerns regarding the use of mechanical ventilation [2, 3]. We thus aimed to review the outcomes of ICU patients with COVID-19 from the existing literature. We searched PubMed for studies published between Dec 1, 2019, and May 8, 2020, with at least ten ICU patients with COVID-19 and reported ICU mortality data. We excluded studies that had duplicate patients from other reports, did not provide data on ICU survival, enrolled only decedents, and excluded patients who were still hospitalised (Fig. 1 and Electronic Supplementary Material). Several lessons can be surmised from Table 1, which outlines the 15 included studies conducted largely in countries worst hit by the pandemic. First, 56.1% of patients were still in the ICU at the time of study publication, and attempts to calculate mortality based on a sample of only deceased or discharged patients risk painting a skewed picture of reality [4]. Second, with the prior limitation in mind, the overall ICU mortality rate was 25.7%. In China, with 14.1% of patients still in the ICU, the mortality rate was 37.7%. These figures are not higher than the mortality rates of 35 to 45% seen in ARDS. Third, 29% of the ICU patients who died in the Chinese studies did not receive mechanical ventilation, and where systems experienced a surge of critically ill patients, up to 53.2% of patients who required ICU care were unable to receive it because of resource constraints [5]. In New York, 262 deaths occurred in hospital wards and outside the ICU, compared to 291 deaths in the ICU [4]. We hypothesise that rationing of ventilators and ICU beds in overwhelmed health systems may have resulted in attempts at postponing intubation, with a significant minority of patients received high-flow nasal cannula (13.7%) and noninvasive ventilation (11.3%) based on available data, despite uncertainty surrounding their roles. We conclude that while there is a need for further studies which capture patients’ final dispositions, the current preliminary data does not suggest unusually high ICU mortality rates for COVID-19. The poor outcomes seen in various studies may be related to rationing of resources in overwhelmed ICUs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254
COVID-19 pneumonia: different respiratory treatments for different phenotypes?
Gattinoni, L., Chiumello, D., Caironi, P., Busana, M., Romitti, F., Brazzi, L., & Camporota, L. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-06033-2 · Cited by 1,852
Acute respiratory failure in COVID-19: is it “typical” ARDS?
Li, X., & Ma, X. (2020) · Critical Care · doi:10.1186/s13054-020-02911-9 · Cited by 673
Clinical Course and Outcomes of 344 Intensive Care Patients with COVID-19
Wang, Y., Lu, X., Li, Y., Chen, H., Chen, T., Su, N., Huang, F., Zhou, J., Zhang, B., Yan, F., et al. (2020) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202003-0736le · Cited by 538
Hospitalization and Critical Care of 109 Decedents with COVID-19 Pneumonia in Wuhan, China
Du, R.-H., Liu, L.-M., Yin, W., Wang, W., Guan, L.-L., Yuan, M.-L., Li, Y.-L., Hu, Y., Li, X.-Y., Sun, B., et al. (2020) · Annals of the American Thoracic Society · doi:10.1513/annalsats.202003-225oc · Cited by 198
Cited by
Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment
Schulte-Schrepping, J., Reusch, N., Paclik, D., Baßler, K., Schlickeiser, S., Zhang, B., Krämer, B., Krammer, T., Brumhard, S., Bonaguro, L., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.001 · Cited by 1,461
Metadata
- Authors
- Quah, P., Li, A., & Phua, J.
- Venue
- Critical Care
- Published
- 2020-06-04
- Volume
- 24
- Issue
- 1
- Pages
- 285-285
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W3033272991
- Cited by
- 259
- References
- 5
- FWCI
- 3.25
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mortality rates of patients with COVID-19 in the intensive care unit: a systematic review of the emerging literature. https://app.cochat.ai/papers/10.1186/s13054-020-03006-1
- The paper
- Quah, P., Li, A., & Phua, J. (2020). Mortality rates of patients with COVID-19 in the intensive care unit: a systematic review of the emerging literature. Critical Care. https://doi.org/10.1186/s13054-020-03006-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.