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Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings

OBJECTIVE: To investigate possible early prognostic factors among middle-aged and older adult and explore prognostic rules stratifying risk of patients. DESIGN: Community-based retrospective cohort. SETTING: Primary Health Care Tarragona region. PARTICIPANTS: 282 community-dwelling symptomatic patie...

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Autores principales: Vila-Corcoles, Angel, Satue-Gracia, Eva, Vila-Rovira, Angel, de Diego-Cabanes, Cinta, Forcadell-Peris, Maria Jose, Ochoa-Gondar, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162822/
https://www.ncbi.nlm.nih.gov/pubmed/34139400
http://dx.doi.org/10.1016/j.aprim.2021.102118
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author Vila-Corcoles, Angel
Satue-Gracia, Eva
Vila-Rovira, Angel
de Diego-Cabanes, Cinta
Forcadell-Peris, Maria Jose
Ochoa-Gondar, Olga
author_facet Vila-Corcoles, Angel
Satue-Gracia, Eva
Vila-Rovira, Angel
de Diego-Cabanes, Cinta
Forcadell-Peris, Maria Jose
Ochoa-Gondar, Olga
author_sort Vila-Corcoles, Angel
collection PubMed
description OBJECTIVE: To investigate possible early prognostic factors among middle-aged and older adult and explore prognostic rules stratifying risk of patients. DESIGN: Community-based retrospective cohort. SETTING: Primary Health Care Tarragona region. PARTICIPANTS: 282 community-dwelling symptomatic patients ≥50 years with laboratory-confirmed COVID-19 (hospitalised and/or outpatient) during March-June 2020 in Tarragona (Southern Catalonia, Spain). MAIN OUTCOME MEASUREMENTS: Relationship between demographics, pre-existing comorbidities and early symptomatology (first 5-days) and risk of suffering critical outcome (ICU-admission/death) across clinical course was evaluated by logistic regression analyses, and simple predictive models were developed. RESULTS: Of the 282 cases (mean age: 65.9 years; 140 men), 154 (54.6%) were hospitalised (30 ICU-admitted) and 45 (16%) deceased. Median time follow-up in clinical course was 31 days (range: 30–150) for survivors and 14 days (range: 1–81) for deceased patients. In crude analyses, increasing age, male sex, some comorbidities (renal, respiratory or cardiac disease, diabetes and hypertension) and symptoms (confusion, dyspnoea) were associated with an increased risk to suffer critical outcome, whereas other symptoms (rinorrhea, myalgias, headache, anosmia/disgeusia) were related with reduced risk. After multivariable-adjustment only age/years (OR: 1.04; 95% CI: 1.01–1.07; p = 0.004), confusion (OR: 5.33; 95% CI: 1.54–18.48; p = 0.008), dyspnoea (OR: 5.41; 95% CI: 2.74–10.69; p < 0.001) and myalgias (OR: 0.30; 95% CI: 0.10–0.93; p = 0.038) remained significantly associated with increased or reduced risk. A proposed CD65-M prognostic rule (acronym of above mentioned 4 variables) showed a good correlation with the risk of suffering critical outcome (area under ROC curve: 0.828; 95% CI: 0.774–0.882). CONCLUSION: Clinical course of COVID-19 is early unpredictable, but simple clinical tools as the proposed CD65-M rule (pending external validation) may be helpful assessing these patients in primary care settings.
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spelling pubmed-81628222021-06-01 Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings Vila-Corcoles, Angel Satue-Gracia, Eva Vila-Rovira, Angel de Diego-Cabanes, Cinta Forcadell-Peris, Maria Jose Ochoa-Gondar, Olga Aten Primaria Original Article OBJECTIVE: To investigate possible early prognostic factors among middle-aged and older adult and explore prognostic rules stratifying risk of patients. DESIGN: Community-based retrospective cohort. SETTING: Primary Health Care Tarragona region. PARTICIPANTS: 282 community-dwelling symptomatic patients ≥50 years with laboratory-confirmed COVID-19 (hospitalised and/or outpatient) during March-June 2020 in Tarragona (Southern Catalonia, Spain). MAIN OUTCOME MEASUREMENTS: Relationship between demographics, pre-existing comorbidities and early symptomatology (first 5-days) and risk of suffering critical outcome (ICU-admission/death) across clinical course was evaluated by logistic regression analyses, and simple predictive models were developed. RESULTS: Of the 282 cases (mean age: 65.9 years; 140 men), 154 (54.6%) were hospitalised (30 ICU-admitted) and 45 (16%) deceased. Median time follow-up in clinical course was 31 days (range: 30–150) for survivors and 14 days (range: 1–81) for deceased patients. In crude analyses, increasing age, male sex, some comorbidities (renal, respiratory or cardiac disease, diabetes and hypertension) and symptoms (confusion, dyspnoea) were associated with an increased risk to suffer critical outcome, whereas other symptoms (rinorrhea, myalgias, headache, anosmia/disgeusia) were related with reduced risk. After multivariable-adjustment only age/years (OR: 1.04; 95% CI: 1.01–1.07; p = 0.004), confusion (OR: 5.33; 95% CI: 1.54–18.48; p = 0.008), dyspnoea (OR: 5.41; 95% CI: 2.74–10.69; p < 0.001) and myalgias (OR: 0.30; 95% CI: 0.10–0.93; p = 0.038) remained significantly associated with increased or reduced risk. A proposed CD65-M prognostic rule (acronym of above mentioned 4 variables) showed a good correlation with the risk of suffering critical outcome (area under ROC curve: 0.828; 95% CI: 0.774–0.882). CONCLUSION: Clinical course of COVID-19 is early unpredictable, but simple clinical tools as the proposed CD65-M rule (pending external validation) may be helpful assessing these patients in primary care settings. Elsevier 2021-11 2021-05-28 /pmc/articles/PMC8162822/ /pubmed/34139400 http://dx.doi.org/10.1016/j.aprim.2021.102118 Text en © 2021 The Authors. Published by Elsevier España, S.L.U. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Vila-Corcoles, Angel
Satue-Gracia, Eva
Vila-Rovira, Angel
de Diego-Cabanes, Cinta
Forcadell-Peris, Maria Jose
Ochoa-Gondar, Olga
Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings
title Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings
title_full Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings
title_fullStr Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings
title_full_unstemmed Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings
title_short Development of a predictive prognostic rule for early assessment of COVID-19 patients in primary care settings
title_sort development of a predictive prognostic rule for early assessment of covid-19 patients in primary care settings
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8162822/
https://www.ncbi.nlm.nih.gov/pubmed/34139400
http://dx.doi.org/10.1016/j.aprim.2021.102118
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