Dataset Information

Early predictors of intensive care unit admission among COVID-19 patients in Qatar.

ABSTRACT:

Background

COVID-19 is associated with significant morbidity and mortality. This study aimed to explore the early predictors of intensive care unit (ICU) admission among patients with COVID-19.

Methods

This was a case-control study of adult patients with confirmed COVID-19. Cases were defined as patients admitted to ICU during the period February 29-May 29, 2020. For each case enrolled, one control was matched by age and gender.

Results

A total of 1,560 patients with confirmed COVID-19 were included. Each group included 780 patients with a predominant male gender (89.7%) and a median age of 49 years (interquartile range = 18). Predictors independently associated with ICU admission were cardiovascular disease (adjusted odds ratio (aOR) = 1.64, 95% confidence interval (CI): 1.16-2.32, p = 0.005), diabetes (aOR = 1.52, 95% CI: 1.08-2.13, p = 0.016), obesity (aOR = 1.46, 95% CI: 1.03-2.08, p = 0.034), lymphopenia (aOR = 2.69, 95% CI: 1.80-4.02, p < 0.001), high AST (aOR = 2.59, 95% CI: 1.53-4.36, p < 0.001), high ferritin (aOR = 1.96, 95% CI: 1.40-2.74, p < 0.001), high CRP (aOR = 4.09, 95% CI: 2.81-5.96, p < 0.001), and dyspnea (aOR = 2.50, 95% CI: 1.77-3.54, p < 0.001).

Conclusion

Having cardiovascular disease, diabetes, obesity, lymphopenia, dyspnea, and increased AST, ferritin, and CRP were independent predictors for ICU admission in patients with COVID-19.

SUBMITTER: Abuyousef S

PROVIDER: S-EPMC10987715 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature

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Publications

Early predictors of intensive care unit admission among COVID-19 patients in Qatar.

Abuyousef Safae S Alnaimi Shaikha S Omar Nabil E NE Elajez Reem R Elmekaty Eman E Abdelfattah-Arafa Eiman E Barazi Raja R Ghasoub Rola R Rahhal Ala A Hamou Fatima F Al-Amri Maha M Karawia Ahmed A Ajaj Fatima F Alkhawaja Raja R Kardousha Ahmed A Awaisu Ahmed A Abou-Ali Adel A Khatib Mohamad M Aboukamar Mohammed M Al-Hail Moza M

Frontiers in public health 20240320

<h4>Background</h4>COVID-19 is associated with significant morbidity and mortality. This study aimed to explore the early predictors of intensive care unit (ICU) admission among patients with COVID-19.<h4>Methods</h4>This was a case-control study of adult patients with confirmed COVID-19. Cases were defined as patients admitted to ICU during the period February 29-May 29, 2020. For each case enrolled, one control was matched by age and gender.<h4>Results</h4>A total of 1,560 patients with confir ...[more]

PMID: 38572008

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Project description:IntroductionNutritional therapy is an important component of intensive care. We investigated the associations of nutritional therapy in the acute phase of severe COVID-19 with the long-term outcomes of post-intensive care syndrome (PICS) and post-COVID-19 conditions.MethodsA questionnaire on the health status after COVID-19 was sent to patients 1 year after infection and PICS was evaluated. Total energy and protein intakes during the first week after admission to the intensive care unit (ICU) were calculated. The primary endpoint was a decrease in quality of life (QOL) defined by EuroQol5-dimensions 5-level (EQ5D5L) <0.8. A multivariable regression analysis was used to examine.ResultsA total of 220 ICU patients were included in this study. Median total energy and protein intakes were 65.1 kcal/kg/week and 3.3 g/kg/week, respectively. Total energy and protein intakes were associated with EQ5D5L scores (energy: unit odds ratio 0.98 [0.97-0.99], p value <0.01; protein: unit odds ratio 0.72 [0.59-0.87], p value <0.01). Insufficient total energy and protein intakes were associated with malaise, arthralgia, myalgia, palpitations, sleep disturbance, and muscle weakness.ConclusionsPoor nutrition during the first week after ICU admission was associated with a decreased QOL 1 year after. These nutrition shortages were also associated with an increased risk of developing PICS, post-COVID-19 conditions, which may contribute to decreased QOL.IntroductionNutritional therapy is an important component of intensive care. We investigated the associations of nutritional therapy in the acute phase of severe COVID-19 with the long-term outcomes of post-intensive care syndrome (PICS) and post-COVID-19 conditions.MethodsA questionnaire on the health status after COVID-19 was sent to patients 1 year after infection and PICS was evaluated. Total energy and protein intakes during the first week after admission to the intensive care unit (ICU) were calculated. The primary endpoint was a decrease in quality of life (QOL) defined by EuroQol5-dimensions 5-level (EQ5D5L) <0.8. A multivariable regression analysis was used to examine.ResultsA total of 220 ICU patients were included in this study. Median total energy and protein intakes were 65.1 kcal/kg/week and 3.3 g/kg/week, respectively. Total energy and protein intakes were associated with EQ5D5L scores (energy: unit odds ratio 0.98 [0.97-0.99], p value <0.01; protein: unit odds ratio 0.72 [0.59-0.87], p value <0.01). Insufficient total energy and protein intakes were associated with malaise, arthralgia, myalgia, palpitations, sleep disturbance, and muscle weakness.ConclusionsPoor nutrition during the first week after ICU admission was associated with a decreased QOL 1 year after. These nutrition shortages were also associated with an increased risk of developing PICS, post-COVID-19 conditions, which may contribute to decreased QOL.

Dataset Information

Early predictors of intensive care unit admission among COVID-19 patients in Qatar.

Background

Methods

Results

Conclusion

Publications

Early predictors of intensive care unit admission among COVID-19 patients in Qatar.

Similar Datasets

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