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

Autor: de Diego-Cabanes C, Eva Satue-Gracia, Maria Jose Forcadell-Peris, Immaculada Hospital-Guardiola, Angel Vila-Corcoles, Olga Ochoa-Gondar, Angel Vila-Rovira
Rok vydání: 2020
Předmět:
Popis: SUMMARYPURPOSEClinical course in COVID-19 patients is uncertain. This study investigated possible early prognostic factors among middle-aged and older adult and explored prognostic rules stratifying risk of patients.METHODSCommunity-based retrospective cohort study that included 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). 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.RESULTSOf the 282 cases (mean age: 65.9 years; 140 men), 154 (54.6%) were hospitalised (30 ICU-admitted) and 45 (16%) deceased. In crude analyses, increasing age, male sex, some comorbidities (renal, respiratory or cardiac disease, diabetes and hypertension) and symptoms (confusion, dyspnea) 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), dyspnea (OR: 5.41; 95% CI: 2.74-10.69; pCONCLUSIONClinical 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.
Databáze: OpenAIRE