Mortality, Intensive Care Unit Admission, and Intubation among Hospitalized Patients with COVID-19: A One-Year Retrospective Study in Jordan.
Khaled Al OweidatRasmieh M Al-AmerMohammad Yousef SalehAsma S AlbtooshAhmad A ToubasiMona Khaled RibieManar M HasunehDaniah L AlfaqheriAbdullah H AlshurafaMohammad RibieAmira Mohammed AliNathir ObeidatPublished in: Journal of clinical medicine (2023)
COVID-19 is a public health crisis that has caused numerous deaths, necessitated an increased number of hospital admissions, and led to extended inpatient stays. This study aimed to identify the factors associated with COVID-19 mortality, intensive care unit admission, intubation, and length of hospital stay among Jordanian patients. This was a one-year retrospective study of 745 COVID-19 patients admitted to Jordan University Hospital. Data regarding the patients' demographics, clinical and co-morbid conditions, imaging, laboratory parameters, mortality, intensive care unit admission (ICU), and intubation were collected from their medical records using a coding manual. The data revealed that the overall rates of COVID-19-related mortality, ICU admission, and invasive intubation were 23.0%, 28.3%, and 10.8%, respectively. Chronic kidney disease (CKD), troponin, lactate dehydrogenase (LDH), and O 2 saturation <90% were significantly associated with the mortality rate. The variables that were significantly associated with ICU admission were heart failure and the use of remdesivir. However, O 2 saturation <90% and gastrointestinal (GI) symptoms were the only variables associated with invasive intubation. The findings of this study suggest that study-related health outcomes can be used to predict the severity of COVID-19, and they can inform future research aiming to identify specific populations who are at a higher risk of COVID-19 complications.
Keyphrases
- intensive care unit
- coronavirus disease
- sars cov
- end stage renal disease
- chronic kidney disease
- public health
- heart failure
- emergency department
- cardiac arrest
- cardiovascular events
- mechanical ventilation
- risk factors
- peritoneal dialysis
- ejection fraction
- newly diagnosed
- prognostic factors
- mental health
- high resolution
- palliative care
- electronic health record
- machine learning
- artificial intelligence
- photodynamic therapy
- single cell
- big data
- left ventricular
- cardiovascular disease
- adverse drug
- patient reported