Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta / Clinical features of COVID-19 infection among patients consulting at an emergency service

Background: COVID-19 is a serious public health problem worldwide. Aim: To describe the clinical features of COVID-19 infection in adult patients consulting at an Emergency Service. Material and Methods: Descriptive prospective study of adult patients with suspected COVID-19 consulting between April 1 and July 31, 2020, at the Emergency Service of a clinical hospital. Clinical features, chronic comorbidities and demographic data were recorded. Results: We assessed 2,958 adult patients aged 42 ± 15 years (46% males). In 54% of them, COVID-19 infection was confirmed, 40% had preexisting diseases, especially hypertension (15%), hypothyroidism (6%), diabetes (6%), asthma (5%) and obesity (6%). The main clinical manifestations associated with COVID-19 were general malaise (79%), anorexia (38%), myalgia (64%), fever (52%), headache (70%), anosmia/dysgeusia (60%), cough (56%), dyspnea (54%) and diarrhea (36%). In the multivariate analysis, the main clinical predictors of COVID-19 infection were malaise, anorexia, fever, myalgia, headache, nasal congestion, cough, expectoration, anosmia/dysgeusia, and history of close contact with a SARS-CoV-2 patient. Odynophagia and chest discomfort were negative predictors of the disease. The history of fever associated with anorexia, cough, and dyspnea or anosmia/dysgeusia and close contact with a SARS-CoV-2 patient had high specificity and positive predictive value for COVID-19 infection. Conclusions: Clinical features of COVID-19 infection were highly unspecific in these patients. Clinical diagnostic prediction models could be useful to support healthcare decision making at primary care setting.

[Clinical features of COVID-19 infection among patients consulting at an emergency service]. / Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta.

BACKGROUND: COVID-19 is a serious public health problem worldwide. AIM: To describe the clinical features of COVID-19 infection in adult patients consulting at an Emergency Service. MATERIAL AND METHODS: Descriptive prospective study of adult patients with suspected COVID-19 consulting between April 1 and July 31, 2020, at the Emergency Service of a clinical hospital. Clinical features, chronic comorbidities and demographic data were recorded. RESULTS: We assessed 2,958 adult patients aged 42 ± 15 years (46% males). In 54% of them, COVID-19 infection was confirmed, 40% had preexisting diseases, especially hypertension (15%), hypothyroidism (6%), diabetes (6%), asthma (5%) and obesity (6%). The main clinical manifestations associated with COVID-19 were general malaise (79%), anorexia (38%), myalgia (64%), fever (52%), headache (70%), anosmia/dysgeusia (60%), cough (56%), dyspnea (54%) and diarrhea (36%). In the multivariate analysis, the main clinical predictors of COVID-19 infection were malaise, anorexia, fever, myalgia, headache, nasal congestion, cough, expectoration, anosmia/dysgeusia, and history of close contact with a SARS-CoV-2 patient. Odynophagia and chest discomfort were negative predictors of the disease. The history of fever associated with anorexia, cough, and dyspnea or anosmia/dysgeusia and close contact with a SARS-CoV-2 patient had high specificity and positive predictive value for COVID-19 infection. CONCLUSIONS: Clinical features of COVID-19 infection were highly unspecific in these patients. Clinical diagnostic prediction models could be useful to support healthcare decision making at primary care setting.

Manifestaciones clínicas y predictores de gravedad en pacientes adultos con infección respiratoria aguda por coronavirus SARS-CoV-2

Background: In December 2019, coronavirus disease 2019 (COVID-19) emerged in Wuhan city and spread rapidly throughout China and the world. Aim: To describe the clinical features, risk factors, and predictors of hospitalization in adult patients treated for acute respiratory infections associated with coronavirus SARS-CoV-2. Material and Methods: Descriptive prospective study of ambulatory and hospitalized adult patients with confirmed COVID-19 attended between April 1 and May 31, 2020. Clinical features, chronic comorbidities and demographic data were recorded, and patients were followed for two months as outpatients. Results: We assessed 1,022 adults aged 41 ± 14 years (50% men) with laboratory-confirmed COVID-19. One-third had comorbidities, specially hypertension (12.5%), hypothyroidism (6.6%), asthma (5.4%) and diabetes (4.5%). Hospital admission was required in 11%, 5.2% were admitted to critical care unit and 0.9% were connected to mechanical ventilation. Common symptoms included fatigue (55.4%), fever (52.5%), headache (68.6%), anosmia/dysgeusia (53.2%), dry cough (53.4%), dyspnea (27.4%) and diarrhea (35.5%). One third of patients reported persistence of symptoms at one-month follow-up, specially fatigue, cough and dyspnea. In the multivariate analysis, age, fever, cough, dyspnea and immunosuppression were associated with hospitalization and ICU admission. Age, male sex and moderate-severe dyspnea were associated with requirement of mechanical ventilation. The main predictors of prolonged clinical course were female sex, presence of comorbidities, history of dyspnea, cough, myalgia and abdominal pain. Conclusions: Clinical features of COVID-19 were highly unspecific. Prediction models for severity, will help medical decision making at the primary care setting.

[Clinical features and predictors of severity in 1022 adults with COVID-19]. / Manifestaciones clínicas y predictores de gravedad en pacientes adultos con infección respiratoria aguda por coronavirus SARS-CoV-2.

BACKGROUND: In December 2019, coronavirus disease 2019 (COVID-19) emerged in Wuhan city and spread rapidly throughout China and the world. AIM: To describe the clinical features, risk factors, and predictors of hospitalization in adult patients treated for acute respiratory infections associated with coronavirus SARS-CoV-2. MATERIAL AND METHODS: Descriptive prospective study of ambulatory and hospitalized adult patients with confirmed COVID-19 attended between April 1 and May 31, 2020. Clinical features, chronic comorbidities and demographic data were recorded, and patients were followed for two months as outpatients. RESULTS: We assessed 1,022 adults aged 41 ± 14 years (50% men) with laboratory-confirmed COVID-19. One-third had comorbidities, specially hypertension (12.5%), hypothyroidism (6.6%), asthma (5.4%) and diabetes (4.5%). Hospital admission was required in 11%, 5.2% were admitted to critical care unit and 0.9% were connected to mechanical ventilation. Common symptoms included fatigue (55.4%), fever (52.5%), headache (68.6%), anosmia/dysgeusia (53.2%), dry cough (53.4%), dyspnea (27.4%) and diarrhea (35.5%). One third of patients reported persistence of symptoms at one-month follow-up, specially fatigue, cough and dyspnea. In the multivariate analysis, age, fever, cough, dyspnea and immunosuppression were associated with hospitalization and ICU admission. Age, male sex and moderate-severe dyspnea were associated with requirement of mechanical ventilation. The main predictors of prolonged clinical course were female sex, presence of comorbidities, history of dyspnea, cough, myalgia and abdominal pain. CONCLUSIONS: Clinical features of COVID-19 were highly unspecific. Prediction models for severity, will help medical decision making at the primary care setting.

Rendimiento de los cuestionarios de sueño en la pesquisa de pacientes adultos con síndrome de apnea obstructiva del sueño según sexo / Gender differences in clinical features and performance of sleep questionnaires in adults with obstructive sleep apnea syndrome

Background: Women with obstructive sleep apnea-hypopnea syndrome (OSAS) are less likely to be assessed or to receive an appropriate diagnosis, and they may have poorer quality of life and survival rates. Aim: To assess gender-specific clinical differences in adult patients with OSAS. Material and Methods: A standardized clinical questionnaire and four sleep questionnaires (Berlin, Epworth Sleepiness Scale, STOP and STOP-Bang) were administered and anthropometric data were measured. Patients underwent an overnight in-laboratory polysomnography to confirm the diagnosis of OSAS. Receiver operating characteristic curves, sensitivity and specificity of clinical manifestations and sleep questionnaires were calculated. Results: Of 1,464 screened patients, 509 were female, 58.6% had moderate to severe OSAS. Clinical variables associated with OSAS risk in women were age, insomnia, nocturia, hypertension and cervical circumference. Paired by age and respiratory events, the snoring frequency was similar in both genders, although witnessed apneas and high cervical circumference and waist/hip ratio were more common in males. Morning headaches, insomnia, excessive daytime sleepiness, depression, anxiety and poor quality of sleep were more common in women. Women were older than men, more obese (although with an obesity pattern less centrally distributed) and referred hypertension, diabetes, depression and hypothyroidism with higher frequency. Sleep questionnaires performance were similar in both sexes. Conclusions: It is likely that women with OSAS may partially be underdiagnosed due to circumstances related to a different OSAS clinical expression.

[Gender differences in clinical features and performance of sleep questionnaires in adults with obstructive sleep apnea syndrome]. / Rendimiento de los cuestionarios de sueño en la pesquisa de pacientes adultos con síndrome de apnea obstructiva del sueño según sexo.

BACKGROUND: Women with obstructive sleep apnea-hypopnea syndrome (OSAS) are less likely to be assessed or to receive an appropriate diagnosis, and they may have poorer quality of life and survival rates. AIM: To assess gender-specific clinical differences in adult patients with OSAS. MATERIAL AND METHODS: A standardized clinical questionnaire and four sleep questionnaires (Berlin, Epworth Sleepiness Scale, STOP and STOP-Bang) were administered and anthropometric data were measured. Patients underwent an overnight in-laboratory polysomnography to confirm the diagnosis of OSAS. Receiver operating characteristic curves, sensitivity and specificity of clinical manifestations and sleep questionnaires were calculated. RESULTS: Of 1,464 screened patients, 509 were female, 58.6% had moderate to severe OSAS. Clinical variables associated with OSAS risk in women were age, insomnia, nocturia, hypertension and cervical circumference. Paired by age and respiratory events, the snoring frequency was similar in both genders, although witnessed apneas and high cervical circumference and waist/hip ratio were more common in males. Morning headaches, insomnia, excessive daytime sleepiness, depression, anxiety and poor quality of sleep were more common in women. Women were older than men, more obese (although with an obesity pattern less centrally distributed) and referred hypertension, diabetes, depression and hypothyroidism with higher frequency. Sleep questionnaires performance were similar in both sexes. CONCLUSIONS: It is likely that women with OSAS may partially be underdiagnosed due to circumstances related to a different OSAS clinical expression.