The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
COVID-19 length of hospital stay: a systematic review and data synthesis
Open accessAbstract
Background: The COVID-19 pandemic has placed an unprecedented strain on health systems, with rapidly increasing demand for healthcare in hospitals and intensive care units (ICUs) worldwide. As the pandemic escalates, determining the resulting needs for healthcare resources (beds, staff, equipment) has become a key priority for many countries. Projecting future demand requires estimates of how long patients with COVID-19 need different levels of hospital care. Methods: We performed a systematic review of early evidence on length of stay (LoS) of patients with COVID-19 in hospital and in ICU. We subsequently developed a method to generate LoS distributions which combines summary statistics reported in multiple studies, accounting for differences in sample sizes. Applying this approach, we provide distributions for total hospital and ICU LoS from studies in China and elsewhere, for use by the community. Results: We identified 52 studies, the majority from China (46/52). Median hospital LoS ranged from 4 to 53 days within China, and 4 to 21 days outside of China, across 45 studies. ICU LoS was reported by eight studies—four each within and outside China—with median values ranging from 6 to 12 and 4 to 19 days, respectively. Our summary distributions have a median hospital LoS of 14 (IQR 10–19) days for China, compared with 5 (IQR 3–9) days outside of China. For ICU, the summary distributions are more similar (median (IQR) of 8 (5–13) days for China and 7 (4–11) days outside of China). There was a visible difference by discharge status, with patients who were discharged alive having longer LoS than those who died during their admission, but no trend associated with study date. Conclusion: Patients with COVID-19 in China appeared to remain in hospital for longer than elsewhere. This may be explained by differences in criteria for admission and discharge between countries, and different timing within the pandemic. In the absence of local data, the combined summary LoS distributions provided here can be used to model bed demands for contingency planning and then updated, with the novel method presented here, as more studies with aggregated statistics emerge outside China.
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Clinical characteristics of coronavirus disease 2019 in China
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A Trial of Lopinavir–Ritonavir in Adults Hospitalized with Severe Covid-19
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Epidemiology and transmission dynamics of COVID-19 in two Indian states
Laxminarayan, R., Wahl, B., Dudala, S. R., Gopal, K., Mohan B, C., Neelima, S., Jawahar Reddy, K. S., Radhakrishnan, J., & Lewnard, J. A. (2020) · Science · doi:10.1126/science.abd7672 · Cited by 485
Cardiopulmonary recovery after COVID-19: an observational prospective multicentre trial
Sonnweber, T., Sahanic, S., Pizzini, A., Luger, A., Schwabl, C., Sonnweber, B., Kurz, K., Koppelstätter, S., Haschka, D., Petzer, V., et al. (2021) · European Respiratory Journal · doi:10.1183/13993003.03481-2020 · Cited by 432
Antimicrobial resistance and COVID-19: Intersections and implications
Knight, G. M., Glover, R. E., McQuaid, C. F., Olaru, I. D., Gallandat, K., Leclerc, Q. J., Fuller, N. M., Willcocks, S. J., Hasan, R., van Kleef, E., et al. (2021) · eLife · doi:10.7554/elife.64139 · Cited by 355
Self-citationModeling transmission of SARS-CoV-2 Omicron in China
Cai, J., Deng, X., Yang, J., Sun, K., Liu, H., Chen, Z., Peng, C., Chen, X., Wu, Q., Zou, J., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01855-7 · Cited by 281
Kader, M., Hossain, M. A., Reddy, V., Perera, N. K. P., & Rashid, M. (2022) · BMC Sports Science, Medicine and Rehabilitation · doi:10.1186/s13102-022-00451-z · Cited by 33
Metadata
- Authors
- Rees, E. M., Nightingale, E. S., Jafari, Y., Waterlow, N. R., Clifford, S., B. Pearson, C. A., Group, C. W., Jombart, T., Procter, S. R., & Knight, G. M.
- Venue
- BMC Medicine
- Published
- 2020-09-03
- Volume
- 18
- Issue
- 1
- Pages
- 270-270
- ISSN
- 1741-7015 (ISSN-L)
- OpenAlex
- W3082087988
- Cited by
- 655
- References
- 76
- FWCI
- 7.71
- Type
- journal article
- Language
- en
- Open access
- gold
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- Rees, E. M., Nightingale, E. S., Jafari, Y., Waterlow, N. R., Clifford, S., B. Pearson, C. A., Group, C. W., Jombart, T., Procter, S. R., & Knight, G. M. (2020). COVID-19 length of hospital stay: a systematic review and data synthesis. BMC Medicine. https://doi.org/10.1186/s12916-020-01726-3
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