Prevalence and association of elevated total serum IgE levels with ICU admissions and poor asthma control: a retrospective study in a tertiary hospital in Saudi Arabia
Bibliographic record
Abstract
OBJECTIVE: This study aimed to determine the prevalence of elevated serum Immunoglobulin E (IgE) levels among adult patients with asthma and to investigate the association between IgE levels and hospital admissions, ICU admissions, asthma control, and other clinical outcomes. METHODS: This was a retrospective single-centre study. Adult patients with a confirmed diagnosis of asthma between 28 February 2023 and 1 March 2024 at Al-Noor Specialist Hospital, Mecca, Saudi Arabia, were included. Patients were excluded if their records lacked spirometry or serum IgE data. Population characteristics were presented as frequency for categorical variables and median with interquartile range for continuous variables. Logistic regression analysis was used to identify predictors of severe asthma outcomes stratified by IgE levels. RESULTS: The study included 807 asthma patients, with a majority being females (68.9%) and a mean age of 48.2 years. A total of 311 patients (38.5%) had elevated serum IgE levels (> 100 IU). Patients with high IgE levels had significantly higher rates of hospital admission due to asthma (16.4% vs. 7.1%, p < 0.001) and ICU admission (4.2% vs. 1.2%, p = 0.008). They were also less likely to have controlled asthma (42.4% vs. 78.9%, p < 0.001) and more likely to report frequent acute care service visits (62.1% vs. 32.5%, p < 0.001). Logistic regression showed that elevated IgE levels were significantly associated with increased odds of hospital admission (OR = 2.6, 95% CI = [1.6-4.0], p < 0.001), ICU admission (OR = 3.5, 95% CI = [1.3-9.4], p = 0.011), uncontrolled asthma (OR = 0.2, 95% CI = [0.1-0.3], p < 0.001), and frequent ACS visits (OR = 0.3, 95% CI = [0.2-0.4], p < 0.001). CONCLUSIONS: Elevated serum IgE levels are significantly associated with poorer asthma control, increased hospital admissions, and higher ICU admission rates. Stratifying asthma patients based on IgE levels may help identify high-risk individuals and guide management strategies through a targeted approach.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".