ArticleToxicology research2023
Comparison of different scores as predictors of mechanical ventilation and intensive care unit admission in acute theophylline poisoning.
Article in Toxicology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- Accuracy of prognostic scoring tools for ICU triage and mortality among patients in low- and middle-income countries: a systematic review and meta-analysis.BMJ open respiratory research · 2026Pooled it
- Clinical prediction models for intensive care unit admission in patients with acute poisoning: is it time for a comprehensive evaluation of their utility?Toxicology research · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Theophylline is commonly used to control respiratory diseases, especially in developing countries. Theophylline has a narrowed therapeutic index, and its toxicity is associated with morbidity and mortality. Physicians should be aware of the early prediction of the need for intensive care unit admission (ICU) and mechanical ventilation (MV). Aim: This study aimed to assess the power of the Rapid Emergency Medicine Score (REMS), Modified Early Warning Score (MEWS) and Simple Clinical Score (SCS) in predicting the need for ICU admission and/or MV in acute theophylline-poisoned patients. Patients and methods: This cross-sectional study included 58 patients with acute theophylline poisoning who were admitted to our Poison Control Center from the 1 Results: The median values of all studied scores were significantly high among patients who needed MV and/or ICU admission. The AUC of SCS was >0.9, with a sensitivity of 92.9% and specificity of 90.9% for the prediction of ICU admission. Meanwhile, MEWS was an excellent predictor of the need for MV (AUC = 0.996, 95% CI = 0.983-1.000). Conclusions: We recommend using SCS as an early predictor for ICU admission in acute theophylline-poisoned patients. However, MEWS could effectively predict MV requirements in acute theophylline-poisoned patients.
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