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1.
Arq. bras. cardiol ; 114(5): 805-816, maio 2020. tab, graf
Article in Portuguese | SES-SP, LILACS | ID: biblio-1131225

ABSTRACT

Resumo Frente à pandemia da doença causada pelo novo coronavírus (COVID-19), o manejo do paciente com fator de risco e/ou doença cardiovascular é desafiador nos dias de hoje. As complicações cardiovasculares evidenciadas nos pacientes com COVID-19 resultam de vários mecanismos, que vão desde lesão direta pelo vírus até complicações secundárias à resposta inflamatória e trombótica desencadeada pela infecção. O cuidado adequado do paciente com COVID-19 exige atenção ao sistema cardiovascular em busca de melhores desfechos.


Abstract In face of the pandemic of the novel coronavirus disease 2019 (COVID-19), the management of patients with cardiovascular risk factors and/or disease is challenging. The cardiovascular complications evidenced in patients with COVID-19 derive from several mechanisms, ranging from direct viral injury to complications secondary to the inflammatory and thrombotic responses to the infection. The proper care of patients with COVID-19 requires special attention to the cardiovascular system aimed at better outcomes.


Subject(s)
Humans , Pneumonia, Viral/complications , Cardiovascular Diseases/virology , Health Personnel/standards , Coronavirus Infections/complications , Betacoronavirus , Pneumonia, Viral/diagnosis , Pneumonia, Viral/therapy , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/therapy , Cardiovascular Physiological Phenomena , Risk Factors , Cardiopulmonary Resuscitation/standards , Practice Guidelines as Topic , Coronavirus Infections , Coronavirus Infections/diagnosis , Coronavirus Infections/therapy , Ventricular Dysfunction/etiology , Pandemics , Patient Care/standards , Heart/physiopathology
2.
Rev. bras. cir. cardiovasc ; 31(1): 7-14, Jan.-Feb. 2016. tab
Article in English | LILACS | ID: lil-778365

ABSTRACT

Abstract Objective: Compare the prognosis and complications of diabetic and non-diabetic patients undergoing isolated coronary artery bypass surgery at a hospital with a high surgical volume. Methods: Data of patients who underwent coronary artery bypass surgery from June 2009 to July 2010 were analyzed. We selected diabetic and non-diabetic patients and evaluated their postoperative and long-term prognosis based on clinical complications. To reduce the disparity within the sample, statistical analyses were performed using propensity scores. Results: We included 2,688 patients who underwent coronary artery bypass surgery; 36% of them had diabetes, their mean age was 62.1±9.49 years and 70% (1,884) of them were men. Patients with diabetes were older (63±9 years vs. 61±10 years; P<0.001), more often obese (BMI>25 kg/m2: 70.7% vs.64.5%; P<0.001), dyslipidemic (50.4%vs. 41.1%; P<0.001), hypertensive (89.2% vs. 78.7%; P<0.001), and presented chronic renal failure (8.3% vs. 3.8%;P<0.001). They also presented higher rates of acute renal failure (5.6% vs. 2.7%, P<0.001), infection (11.4% vs. 7.2%, P<0.001) and mortality after one year (9.1% vs. 5.6%,P<0.001). Pneumonia was more common among patients with diabetes (7.7% vs. 4.0%, P<0.001). According to propensity scoring, 430 patients (215 diabetics and 215 non-diabetics) had a mean age of 61.3±8.97 years, and 21.2% (91 of 430) were women. However, diabetes was not an independent factor for poor prognosis. Conclusion: Patients with diabetes were at higher risk for postoperative complications and mortality after undergoing coronary artery bypass surgery. However, diabetes did not explain the poor prognosis of these patients after pairing this factor with the propensity score.


Subject(s)
Aged , Female , Humans , Male , Middle Aged , Coronary Artery Bypass/adverse effects , Diabetes Complications , Postoperative Complications/etiology , Age Factors , Body Mass Index , Cardiovascular Diseases/surgery , Coronary Artery Bypass/mortality , Diabetes Complications/mortality , Prognosis , Propensity Score , Prospective Studies , Postoperative Complications/mortality , Risk Assessment , Risk Factors , Sex Factors , Statistics, Nonparametric , Time Factors
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