Factors associated with early return visits to the emergency department in patients with vaso-occlusive crisis
Bibliographic record
Abstract
Abstract Background and aim One of the most common presentations of sickle cell disease (SCD) in the emergency department (ED) is acute severe pain episodes due to a vaso-occlusive crisis (VOC). Management of these episodes is primarily through intravenous pain control, but patients often return to the ED with the same complaint a few days after discharge. While some global studies have explored the risk factors for ED revisits due to VOC, the literature is lacking in the adult population, specifically in Saudi Arabia where SCD prevalence is high. The goal of this study is to measure the incidence of ED 72-hour early revisit (ERV) among SCD patients due to a VOC episode and to identify factors that might be associated with an ERV in this population. We conducted a retrospective cohort study using the electronic medical records, retrieving all patients who presented to the ED with a VOC from the period of 2017 to 2022. Results This study included 120 VOC visits. The percentage of 72-hour ERV to the ED among VOC patients was 39.2%, in which 91.5% received opioids, and 31.9% were admitted during the return visit. Return visitors’ median age was 29, most of them were male. There was no statistically significant correlation found between the patients’ 72-hour ERV to the ED and their age, gender, comorbidities, history of exchange transfusion, pain score, or dose of opiates received. Of the variables measured at the index visit only the direct bilirubin level, and time to first opioid dose was associated with 72-hour ERV with an OR of 1.08 (95%CI: 1.0 to 1.16, P = 0.022) and 0.99 (95%CI: 0.99 to 0.99, P = 0.012) respectively. Conclusion We found that 39.2% of VOC episodes discharged from the ED had an ERV. This rate is higher than what is reported internationally. Additionally, the lack of clear predictors for revisits raises doubts regarding the efficacy of the ED ‘’treat and release’’ approach in this population. Clinical trial number Not applicable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.003 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".