Nonadverse COVID-19 evolution predictors : the CoNAE scale
OBJECTIVES: Tools to identify patients with mild to moderate COVID-19 are as yet unavailable. Our aims were to identify factors associated with nonadverse outcomes and develop a scale to predict nonadverse evolution in patients with COVID-19 (the CoNAE scale) in hospital emergency departments.
MATERIAL AND METHODS: Retrospective cohort study of patients who came to one of our area's national health service hospitals for treatment of SARS-CoV-2 infection from July 1, 2020, to July 31, 2021. From case records we collected sociodemographic information, underlying comorbidity and ongoing treatments, other relevant medical history details, and vital constants on arrival for triage. Multilevel multivariable logistic regression models were used to identify predictors.
RESULTS: The model showed that patients who had nonadverse outcomes were younger, female, and vaccinated against COVID-19 (2 doses at the time of the study). They arrived with normal vital signs (heart rate, diastolic and systolic pressures, temperature, and oxygen saturation) and had none of the following concomitant diseases or factors: heart failure other heart disease, hypertension, diabetes, liver disease, dementia, history of malignant tumors, and they were not being treated with oral or other systemic corticosteroids or immunosuppressant therapy. The area under the receiver operating characteristic curve for the model was 0.840 (95% CI, 0.834-0.847).
CONCLUSION: We developed the CoNAE scale to predict nonadverse outcomes. This scale may be useful in triage for evaluating patients with COVID-19. It may also help predict safe discharge or plan the level of care that patients require not only in a hospital emergency department but also in urgent primary care settings or out-of-hospital emergency care.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:35 |
|---|---|
| Enthalten in: |
Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias - 35(2023), 5 vom: 06. Okt., Seite 335-344 |
| Sprache: |
Spanisch |
|---|
| Weiterer Titel: |
Predictores de evolución no adversa en pacientes con COVID-19: escala CoNAE (COVID-19 non-adverse evolution) |
|---|
| Beteiligte Personen: |
Pulido-Herrero, Esther [VerfasserIn] |
|---|
| Anmerkungen: |
Date Completed 23.10.2023 Date Revised 23.10.2023 published: Print Citation Status MEDLINE |
|---|
| Förderinstitution / Projekttitel: |
|
|---|
| PPN (Katalog-ID): |
NLM362950253 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM362950253 | ||
| 003 | DE-627 | ||
| 005 | 20231226092317.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||spa c | ||
| 028 | 5 | 2 | |a pubmed24n1209.xml |
| 035 | |a (DE-627)NLM362950253 | ||
| 035 | |a (NLM)37801415 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a spa | ||
| 100 | 1 | |a Pulido-Herrero, Esther |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Nonadverse COVID-19 evolution predictors |b the CoNAE scale |
| 246 | 3 | 3 | |a Predictores de evolución no adversa en pacientes con COVID-19: escala CoNAE (COVID-19 non-adverse evolution) |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 23.10.2023 | ||
| 500 | |a Date Revised 23.10.2023 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a OBJECTIVES: Tools to identify patients with mild to moderate COVID-19 are as yet unavailable. Our aims were to identify factors associated with nonadverse outcomes and develop a scale to predict nonadverse evolution in patients with COVID-19 (the CoNAE scale) in hospital emergency departments | ||
| 520 | |a MATERIAL AND METHODS: Retrospective cohort study of patients who came to one of our area's national health service hospitals for treatment of SARS-CoV-2 infection from July 1, 2020, to July 31, 2021. From case records we collected sociodemographic information, underlying comorbidity and ongoing treatments, other relevant medical history details, and vital constants on arrival for triage. Multilevel multivariable logistic regression models were used to identify predictors | ||
| 520 | |a RESULTS: The model showed that patients who had nonadverse outcomes were younger, female, and vaccinated against COVID-19 (2 doses at the time of the study). They arrived with normal vital signs (heart rate, diastolic and systolic pressures, temperature, and oxygen saturation) and had none of the following concomitant diseases or factors: heart failure other heart disease, hypertension, diabetes, liver disease, dementia, history of malignant tumors, and they were not being treated with oral or other systemic corticosteroids or immunosuppressant therapy. The area under the receiver operating characteristic curve for the model was 0.840 (95% CI, 0.834-0.847) | ||
| 520 | |a CONCLUSION: We developed the CoNAE scale to predict nonadverse outcomes. This scale may be useful in triage for evaluating patients with COVID-19. It may also help predict safe discharge or plan the level of care that patients require not only in a hospital emergency department but also in urgent primary care settings or out-of-hospital emergency care | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Clinical decision-making. | |
| 650 | 4 | |a Cuidados sanitarios. | |
| 650 | 4 | |a Emergency department. | |
| 650 | 4 | |a Evaluación de resultados. | |
| 650 | 4 | |a Health services. | |
| 650 | 4 | |a Outcomes. | |
| 650 | 4 | |a Reglas de decisión clínica. | |
| 650 | 4 | |a SARS-CoV-2. COVID-19. | |
| 650 | 4 | |a Servicio de urgencias. | |
| 700 | 1 | |a Larrea, Nere |e verfasserin |4 aut | |
| 700 | 1 | |a García-Gutiérrez, Susana |e verfasserin |4 aut | |
| 700 | 1 | |a Gallardo, María S |e verfasserin |4 aut | |
| 700 | 1 | |a Gamazo-Del-Río, Julio J |e verfasserin |4 aut | |
| 700 | 1 | |a Gascón, María |e verfasserin |4 aut | |
| 700 | 1 | |a Legarreta, María-José |e verfasserin |4 aut | |
| 700 | 1 | |a Villanueva, Ane |e verfasserin |4 aut | |
| 700 | 1 | |a Quintana, José M |e verfasserin |4 aut | |
| 700 | 0 | |a Grupo de Investigación COVID-Health Basque Country |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Emergencias : revista de la Sociedad Espanola de Medicina de Emergencias |d 1998 |g 35(2023), 5 vom: 06. Okt., Seite 335-344 |w (DE-627)NLM09743793X |x 2386-5857 |7 nnns |
| 773 | 1 | 8 | |g volume:35 |g year:2023 |g number:5 |g day:06 |g month:10 |g pages:335-344 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 35 |j 2023 |e 5 |b 06 |c 10 |h 335-344 | ||