Objective: To systematically evaluate the value of different aspiration risk assessment tools
for assessing aspiration risk in stroke patients with dysphagia.
Methods: The literatures to evaluate the risk of aspiration in stroke patients with
swallowing disorders using different tools were searched from databases including CNKI,
Wanfang Database, VIP, PubMed, Cochrane Library, and Web of Science from databases
establishment until April 2024. The combined sensitivity, combined specificity, positive
likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR), and area under the
curve (AUC) of different tools for diagnosing aspiration were calculated comparing with the
gold standard.
Results: A total of 17 eligible studies were included, mainly including four risk assessment
tools for aspiration, namely Kubota water swallowing test (WST), standardized swallowing
assessment (SSA), Toronto bedside swallowing screening test (TOR-BSST), and Gussing
swallowing screen (GUSS). The Meta-analysis results showed that the combined sensitivity
of WST was 0.57 (95% CI: 0.51-0.62, P=0.006), combined specificity was 0.80 (95% CI:
0.74-0.85, P=0.014), DOR was 5.94 (95% CI: 3.42-10.31, P=0.153), and AUC was 0.75. The
combined sensitivity of SSA was 0.87 (95% CI: 0.82-0.90, P=0.124), combined specificity
was 0.65 (95% CI: 0.59-0.71, P=0.031), DOR was 11.88 (95% CI: 5.63-25.07, P=0.214), and
AUC was 0.73. The combined sensitivity of TOR-BSST was 0.65 (95% CI: 0.56-0.74, P=
0.004), combined specificity was 0.70 (95% CI: 0.62-0.77, P=0.000), DOR was 3.40 (95% CI:
2.06-5.62, P=0.000), and AUC was 0.69. The combined sensitivity of GUSS was 0.96 (95% CI: 0.91-0.99, P=0.425), combined specificity was 0.62 (95% CI: 0.52-0.71, P=0.729), DOR
was 34.71 (95% CI: 12.39-97.24, P=0.893), and AUC was 0.92.
Conclusion: For the risk assessment of aspiration in stroke patients with swallowing
disorders, WST, SSA, TOR-BSST and GUSS all have good diagnostic values, and GUSS has a
higher comprehensive diagnostic efficiency.