Soluble tumour necrosis factor receptor 1 predicts hospitalization in children and young adults with dengue virus infection in the Philippines
Bibliographic record
Abstract
BACKGROUND: Dengue fever is a common cause of acute febrile illness in the tropics and requires hospitalization for intravenous (IV) fluid therapy in a minority of patients. Predicting which patients will progress to severe disease is challenging. Soluble tumour necrosis factor receptor 1 (sTNFR1) is associated with severe dengue and may have prognostic value. METHODS: Prospective cohort study of outpatients in the Philippines with dengue fever, confirmed by NS1 antigenemia or IgM seropositivity. sTNFR1 was measured at presentation and patients were followed for 14-21 days for hospitalization (primary outcome), duration of stay, IV fluid resuscitation, hemoconcentration, and thrombocytopenia (secondary outcomes). RESULTS: 244 patients (median age 9 years, 40 % female, 26 % uncomplicated dengue, 73 % dengue with warning signs, 0.82 % severe dengue) were included. The median sTNFR1 plasma concentration was 3000pg/mL (IQR 2400-3700) at clinic presentation, decreasing to 1800 (IQR 1600-2100) after recovery. 181 patients (74 %) required hospitalization. Plasma sTNFR1 concentration > 2800 pg/mL, measured at clinic presentation, was associated with subsequent hospitalization (relative risk 1.5, 95 %CI 1.2-1.7, p < 0.0001). Elevated sTNFR1 was also associated with longer duration of stay, IV fluid requirement, hemoconcentration, and thrombocytopenia. sTNFR1 was also associated with a marker of systemic inflammation (procalcitonin), and circulating markers of endothelial activation (Ang2, sTie-2, sVCAM-1, and endoglin). CONCLUSION: Elevated sTNFR1 is predictive of subsequent hospitalization among outpatients with DENV infection. It shows promise as a marker that could guide triage to reduce the large healthcare burden of dengue in resource-constrained settings.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".