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1.
Rev. méd. Chile ; 151(2): 185-196, feb. 2023. ilus, tab
Article in Spanish | LILACS | ID: biblio-1522082

ABSTRACT

BACKGROUND: Severity assessment in adult patients with community-acquired pneumonia (CAP) allows to guide the site of care (ambulatory or hospitalization), diagnostic workup and treatment. AIM: To examine the performance of twelve severity predictive indexes (CRB65, CURB65, PSI, SCAP, SMART-COP, REA-ICU, ATS minor criteria, qSOFA, CALL, COVID GRAM, 4C, STSS) in adult patients hospitalized for CAP associated with SARS-CoV-2. MATERIAL AND METHODS: Prospective clinical study conducted between April 1 and September 30, 2020 in adult patients hospitalized for CAP associated with COVID-19 in a clinical hospital. The recorded adverse events were admission to the critical care unit, use of mechanical ventilation (MV), prolonged length of stay, and hospital mortality. The predictive rules were compared based on their sensitivity, specificity, predictive values, and area under the receiver operator characteristic (ROC) curve. RESULTS: Adverse events were more common and hospital stay longer in the high-risk categories of the different prognostic indices. CURB-65, PSI, SCAP, COVID GRAM, 4 C and STSS predicted the risk of death accurately. PSI, SCAP, ATS minor criteria, CALL and 4 C criteria were sensitive in predicting the risk of hospital mortality with high negative predictive value. The performance of different prognostic indices decreased significantly for the prediction of ICU admission, use of mechanical ventilation, and prolonged hospital length of stay. CONCLUSIONS: The performance of the prognostic indices differs significantly for the prediction of adverse events in immunocompetent adult patients hospitalized for community-acquired pneumonia associated with COVID-19.


Subject(s)
Humans , Adult , Pneumonia , Community-Acquired Infections/diagnosis , COVID-19 , Prognosis , Severity of Illness Index , Prospective Studies , Retrospective Studies , SARS-CoV-2
2.
Rev. méd. Chile ; 149(8): 1107-1118, ago. 2021. tab
Article in Spanish | LILACS | ID: biblio-1389568

ABSTRACT

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.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Emergency Medical Services , COVID-19/complications , COVID-19/diagnosis , COVID-19/epidemiology , Prospective Studies , Cough/etiology , SARS-CoV-2
3.
Rev. méd. Chile ; 148(10)oct. 2020.
Article in Spanish | LILACS-Express | LILACS | ID: biblio-1389230

ABSTRACT

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.

4.
Rev. méd. Chile ; 147(8): 983-992, ago. 2019. tab, graf
Article in Spanish | LILACS | ID: biblio-1058633

ABSTRACT

Background: C-reactive protein (CRP) is used to monitor patients' response during treatment of infectious diseases. Morbidity and mortality associated with community-acquired pneumonia (CAP) is high, particularly in hospitalized patients. Better risk prediction during hospitalization could improve management and ultimately reduce mortality rates. Aim: To evaluate CRP measured at admission and the third day of hospitalization as a predictor for adverse events in CAP. Material and Methods: A prospective cohort study of adult patients hospitalized with CAP at an academic hospital. Major adverse outcomes were admission to ICU, mechanical ventilation, prolonged hospital length of stay, hospital complications and 30-day mortality. Predictive associations between CRP (as absolute levels and relative decline at third day) and adverse events were analyzed. Results: Eight hundred and twenty-three patients were assessed, 19% were admitted to ICU and 10.6% required mechanical ventilation. The average hospital stay was 8.8 ± 8.2 days, 42% had nosocomial complications and 8.1% died within 30 days. Ninety eight percent of patients had elevated serum CRP on admission to the hospital (18.1 ± 14.1 mg/dL). C-reactive protein measured at admission was associated with the risk of bacterial pneumonia, bacteremic pneumonia, septic shock and use of mechanical ventilation. Lack of CRP decline within three days of hospitalization was associated with high risk of complications, septic shock, mechanical ventilation and prolonged hospital stay. Conclusions: CRP responses at third day of hospital admission was a valuable predictor of adverse events in hospitalized CAP adult patients.


Subject(s)
Humans , Male , Female , Adolescent , Adult , Middle Aged , Aged , Aged, 80 and over , Young Adult , Pneumonia/blood , C-Reactive Protein/analysis , Community-Acquired Infections/blood , Immunocompetence , Pneumonia/immunology , Pneumonia/mortality , Prognosis , Shock, Septic/mortality , Shock, Septic/blood , Time Factors , Biomarkers/blood , Predictive Value of Tests , Prospective Studies , Risk Factors , Community-Acquired Infections/immunology , Community-Acquired Infections/mortality , Area Under Curve
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