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Using NEWS2 to triage newly admitted patients with COVID-19.
Luo, Zhen; Peng, Xiaobei; Zhou, Fangyi; Zhang, Lei; Guo, Mengwei; Peng, Lingli.
  • Luo Z; Xiangya Nursing School, Central South University, Changsha, China.
  • Peng X; Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, China.
  • Zhou F; Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, China.
  • Zhang L; Critical care medicine, Xiangya Hospital, Central South University, Changsha, China.
  • Guo M; Emergency department, Xiangya Hospital, Central South University, Changsha, China.
  • Peng L; Intensive Care Unit, Xiangya Hospital, Central South University, Changsha, China.
Nurs Crit Care ; 2021 Dec 09.
Article in English | MEDLINE | ID: covidwho-2299237
ABSTRACT

BACKGROUND:

The coronavirus disease 2019 (COVID-19) pandemic has spread globally and caused a major worldwide health crisis. Patients who are affected more seriously by COVID-19 usually deteriorate rapidly and need further intensive care. AIMS AND

OBJECTIVES:

We aimed to assess the performance of the National Early Warning Score 2 (NEWS2) as a risk stratification tool to discriminate newly admitted patients with COVID-19 at risk of serious events.

DESIGN:

We conducted a retrospective single-centre case-control study on 200 unselected patients consecutively admitted in March 2020 in a public general hospital in Wuhan, China.

METHODS:

The following serious events were considered mortality, unplanned intensive care unit (ICU) admission, and non-invasive ventilation treatment. Receiver operating characteristic (ROC) analysis and logistic regression analysis were used to quantify the association between outcomes and NEWS2.

RESULTS:

There were 12 patients (6.0%) who had serious events, where 7 patients (3.5%) experienced unplanned ICU admissions. The area under the ROC curve (AUROC) and cut-off of NEWS2 for the composite outcome were 0.83 and 3, respectively. For patients with NEWS2 ≥ 4, the odds of being at risk for serious events was 16.4 (AUROC = 0.74), while for patients with NEWS2 ≥ 7, the odds of being at risk for serious events was 18.2 (AUROC = 0.71).

CONCLUSIONS:

NEWS2 has an appropriate ability to triage newly admitted patients with COVID-19 into three levels of risk low risk (NEWS2 = 0-3), medium risk (NEWS2 = 4-6), and high risk (NEWS2 ≥ 7). RELEVANCE TO CLINICAL PRACTICE Using NEWS2 may help nurses in early identification of at-risk COVID-19 patients and clinical nursing decision-making. Using NEWS2 to triage new patients with COVID-19 may help nurses provide more appropriate level of care and medical resources allocation for patients safety.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal subject: Nursing / Critical Care Year: 2021 Document Type: Article Affiliation country: Nicc.12739

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal subject: Nursing / Critical Care Year: 2021 Document Type: Article Affiliation country: Nicc.12739