Risk assessment after syncope in adult emergency care

Background. Emergency assessment of syncope must identify serious causes and mimics before using a prediction score. Decision rules differ in populations, thresholds and outcome definitions.

Aim. To critically appraise adult emergency syncope risk assessment, biomarker augmentation and disposition evidence, and identify research priorities for Saudi practice.

Methods. A focused PubMed relevance retrieval on 6 October 2026 combined syncope with risk, score, prediction and guideline concepts. The Canadian Syncope Risk Score (CSRS) validation and SAEM GRACE systematic review were inspected through PMC; other selected sources were verified through metadata and abstracts. This narrative synthesis produced no new pooled estimates or formal GRADE ratings and used no registered protocol or dual human extraction.

Findings. The San Francisco Syncope Rule, CSRS and OESIL have the broadest external-validation coverage in the inspected review, but heterogeneous endpoints and thresholds impede direct comparison. The review's pooled negative likelihood ratios exceed 0.1, while individual validation estimates vary. These rules have not demonstrated uniform superiority to clinical judgment across settings. A recent older-adult validation found a FAINT sensitivity advantage for cardiac outcomes, which does not establish outcome benefit from score-guided care. NT-proBNP adds limited reclassification beyond CSRS in selected evidence. Admission is associated with greater serious-event detection, without establishing a causal benefit. A two-variable candidate quality measure identified low event frequency in one cohort; it is not a validated stand-alone discharge rule.

Conclusion. History, examination, orthostatic evaluation and ECG provide the initial framework. Scores can support subsequent disposition decisions when their population and endpoint match the clinical question. Saudi research should examine local validation, calibration, comparison with clinical judgment and observation pathways before inferring patient benefit.