| Literature DB >> 32398345 |
Matthew Inada-Kim1, Thomas Knight2,3, Michelle Sullivan4, Mark Ainsworth-Smith1, Neil Pike5, Mathew Richardson1, Gail Hayward6, Daniel Lasserson7,3.
Abstract
BACKGROUND: The National Early Warning Score (NEWS) calculated from physiological observations provides a simple away to identify and respond to the deteriorating patient. There is increasing interest in the application of NEWS to facilitate referrals from the community. AIM: To establish whether elevated NEWS are associated with adverse outcomes at 5 and 30 days when obtained in a community setting at the time of transfer to an acute setting. DESIGN &Entities:
Keywords: Continuity of care; Critical care; Early warning score; Hospital referrals; Hospitalization; Patient safety; Primary health care; Retrospective studies; Secondary care
Year: 2020 PMID: 32398345 PMCID: PMC7330211 DOI: 10.3399/bjgpopen20X101071
Source DB: PubMed Journal: BJGP Open ISSN: 2398-3795
Figure 1.Flow diagram demonstrating study population.
Figure 2.Proportion of total primary care referrals with a NEWS recorded at the point of referral across the evaluation period.
Demographics of cohort
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| Mean age, years (SD) | 76 (15) | 65 (21) |
| Frailty | 20.8 (234) | 10.6 (239) |
| Dementia | 15.2 (171) | 7.5 (169) |
| ReSPECT form | 29.0 (327) | 17.9 (403) |
| Receiving chemotherapy | 3.2 (36) | 2.5 (56) |
| Receiving specialist palliative care | 13.1 (148) | 7.5 (169) |
| Death at5 days | 3.6 (41) | 1.9 (43) |
| Death or critical care at 5 days | 5.2 (59) | 3.2 (72) |
| Death at30 days | 11.7 (132) | 5.8 (131) |
| Death or critical care at 30 days | 13.5 (152) | 7.3 (164) |
ReSPECT form = Recommended Summary Plan for Emergency Treatment form.
Summary of diagnostic performance of NEWS to predict adverse outcome
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| NEWS ≥5 | NEWS ≥7 | NEWS ≥5 | NEWS ≥7 | |||||
| Death (95% CI) | Death or critical care admission (95% CI) | Death (95% CI) | Death or critical care admission (95% CI) | Death (95% CI) | Death or critical care admission (95% CI) | Death (95% CI) | Death or critical care admission (95% CI) | |
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| Sensitivity | 49%(33-65) | 38%(31-47) | 21%(10-36) | 25%(18-33) | 37%(29-46) | 37%(30-45) | 23%(16-31) | 24%(18-32) |
| Specificity | 83%(81-84) | 84%(82-85) | 93%(91-94) | 94%(92-95) | 83%(82-85) | 84%(82-85) | 93%(92-94) | 94%(92-95) |
| Positive predictive value | 5%(3-8) | 15%(12-19) | 5%(2-10) | 22%(16-29) | 12%(9-16) | 15%(12-19) | 17%(12-24) | 23%(17-30) |
| Negative predictive value | 99%(98-99) | 95%(94-96) | 98%(98-99) | 94%(93-95) | 96%(95-96) | 94%(93-95) | 95%(94-96) | 94%(93-95) |
| Positive likelihood ratio | 2.8(2.1–3.9) | 2.3(1.9–2.9) | 2.8(1.5–5.1) | 3.9(2.8–5.3) | 2.2(1.8–2.8) | 2.3(1.8–2.8) | 3.4(2.4–4.8) | 3.8(2.8–5.2) |
| Negative likelihood ratio | 0.6(0.5–0.8) | 0.7(0.7–0.8) | 0.9(0.7–1.0) | 0.8(0.7–0.9) | 0.8(0.7–0.9) | 0.8(0.7–0.9) | 0.8(0.8–0.9) | 0.8(0.7–0.9) |
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| Sensitivity | 62%(46-77) | 53%(45-62) | 42%(27-59) | 32%(24-40) | 54%(45-62) | 53%(45-61) | 24%(18-30) | 31%(24-39) |
| Specificity | 67%(64-70) | 69%(66-72) | 85%(83-87) | 86%(84-88) | 69%(66-72) | 69%(66-72) | 86%(84-88) | 86%(84-88) |
| Positive predictive value | 7%(4-10) | 21%(17-25) | 9%(6-15) | 26%(20-33) | 19%(15-23) | 21%(17-26) | 24%(18-30) | 26%(20-33) |
| Negative predictive value | 98%(97-99) | 91%(88-93) | 98%(96-98) | 89%(87%–91%) | 92%(90-94) | 90%(88-92) | 86%(84-88) | 89%(87-91) |
| Positive likelihood ratio | 1.9(1.5–2.5) | 1.7(1.4–2.1) | 2.8(1.9–4.1) | 2.3(1.7–3.1) | 1.7(1.4–2.1) | 1.7(1.5–2.1) | 1.7(1.3–2.3) | 2.2(1.7–3.0) |
| Negative likelihood ratio | 0.6(0.4–0.8) | 0.7(0.6–0.8) | 0.7(0.5–0.9) | 0.8(0.7–0.9) | 0.7(0.6–0.8) | 0.7(0.6–0.8) | 0.9(0.8–1.0) | 0.8(0.7-.0.9) |
NEWS = national early warning scores.
Figure 3.Adverse outcomes stratified by source of NEWS and risk group