The Impact of Cardiovascular Antecedents on the Prognosis of COVID-19 Critically Ill Patients.
Luiza Camelia NechitaMariana Daniela IgnatAlexia Anastasia Stefania BaltaRaisa Eloise BarbuLiliana BaroiuDoina Carina VoinescuAurel NechitaMihaela DebitaCamelia BusilaIoana Anca StefanopolPublished in: Journal of clinical medicine (2024)
Background/Objectives : The objective of the study is to analyze the impact of cardiovascular history on mortality in COVID-19 patients, hospitalized in the intensive care unit with indications for continuous positive airway pressure (CPAP) and subsequently mechanical ventilation, without oncological disease. Methods : A retrospective observational study was carried out on a group of 108 critical COVID-19 patients. We compared demographic data, paraclinical and clinical parameters, days of hospitalization, and mortality rate between two groups of patients, one group with a history of cardiovascular disease (81 patients) and a group without a history of cardiovascular disease (27 patients). Results : Patients with cardiovascular antecedents had a higher mortality rate than those without cardiovascular antecedents, presenting severe forms with shorter survival time in the intensive care unit and increased inflammatory evidence. Compared to patients without a history of cardiovascular illness, those with cardiovascular disease had a lower average age, and developed a severe form of COVID-19. Conclusions : Cardiovascular antecedents can worsen the prognosis of patients with COVID-19, requiring a careful screening and multidisciplinary approach.
Keyphrases
- cardiovascular disease
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- sars cov
- coronavirus disease
- type diabetes
- mechanical ventilation
- intensive care unit
- prognostic factors
- cardiovascular events
- obstructive sleep apnea
- metabolic syndrome
- patient reported outcomes
- coronary artery disease
- oxidative stress
- machine learning
- acute respiratory distress syndrome
- big data
- patient reported
- early onset
- case report
- artificial intelligence
- rectal cancer