Literature DB >> 32878619

COVID-19 length of hospital stay: a systematic review and data synthesis.

Eleanor M Rees1, Emily S Nightingale2, Yalda Jafari3, Naomi R Waterlow3, Samuel Clifford3, Carl A B Pearson3,4, Cmmid Working Group3, Thibaut Jombart3,5,6, Simon R Procter3, Gwenan M Knight3.   

Abstract

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.

Entities:  

Keywords:  Bed demand; COVID-19; Hospitalisation; ICU capacity; Length of stay; SARS-CoV-2

Mesh:

Year:  2020        PMID: 32878619     DOI: 10.1186/s12916-020-01726-3

Source DB:  PubMed          Journal:  BMC Med        ISSN: 1741-7015            Impact factor:   8.775


  160 in total

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7.  Importance of patient bed pathways and length of stay differences in predicting COVID-19 hospital bed occupancy in England.

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9.  A Machine Learning Algorithm Predicts Duration of hospitalization in COVID-19 patients.

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10.  Prevalence of Post-traumatic Stress Symptoms and Its Associations With Quality of Life, Demographic and Clinical Characteristics in COVID-19 Survivors During the Post-COVID-19 Era.

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