• Annals of Saudi medicine · Jul 2023

    Predictors of disease severity in patients hospitalized with coronavirus disease 2019.

    • Jameela Edathodu, Ali Alsugair, Muneerah Al-Bugami, Ibrahim Alomar, Abdulmajeed Alrasheed, Roqayah Fadel, Waad Albalawi, Amal Alshammary, Abdullah Alsuhaim, Saleh Alghayti, AlJawharah Alkadi, Mushtafa Peedikayil, Haifa Aldakhil, Norah Albedah, and Gamal Mohamed.
    • From the Department of Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
    • Ann Saudi Med. 2023 Jul 1; 43 (4): 254261254-261.

    BackgroundCoronavirus disease 2019 (COVID-19), caused by a novel coronavirus, manifests as a respiratory illness primarily and symptoms range from asymptomatic to severe respiratory syndrome and even death. During the pandemic, due to overcrowding of medical facilities, clinical assessment to triage patients for home care or in-hospital treatment was an essential element of management.ObjectivesStudy the demographic features, comorbidities and bio-markers that predict severe illness and mortality from COVID-19 infection.DesignRetrospective observational SETTING: Single tertiary care center PATIENTS AND METHODS: The study included all patients admitted with a positive PCR test for COVID-19 during the period from March 2020 to September 2020 (7 months). Data on demographics, clinical data and laboratory parameters was collected from medical records every 3 days during hospital stay or up until transfer to ICU.Main Outcome MeasuresDemographic, comorbidities and biochemical features that might predict severe COVID-19 disease.Sample Size372 RESULTS: Of the 372 patients, 72 (19.4%) had severe disease requiring admission to intensive care unit (ICU); 6 (1.6%) died. Individuals over 62 years were more likely to be admitted to the ICU (P=.0001, while a BMI of 40 and higher increased the odds of severe disease (P=.032). Male gender (P=.042), hypertension (P=.006) and diabetes (P=.001) conferred a statistically significant increased risk of admission to ICU, while coexisting COPD, and ischemic heart disease did not. Laboratory features related to severe COVID-19 infection were: leukocytosis (P=.015), thrombocytopenia (P=.001), high levels of C-reactive protein (P=.0001), lactic dehydrogenase (P=.0001), D-dimer (P=.0001) and ferritin (P=.001). With the multivariate analysis, diabetes, high lac-tate dehydrogenase, C-reactive protein and thrombocytopenia were associated with severity of illness.ConclusionsParticular demographic and clinical parameters may predict severe illness and need for ICU care.LimitationsSingle referral center, several cases of severe COVID-19 could not be included due to lack of consent and or data.Conflict Of InterestNone.

      Pubmed     Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.

We guarantee your privacy. Your email address will not be shared.