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Routinely available clinical variables predict swallowing status after strokeRoutinely available variables may help estimate swallowing status after acute stroke

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Key Takeaway
Consider using routinely available clinical variables to estimate swallowing status after stroke, but external validation is needed.

This retrospective observational study included 126 patients with first-ever stroke who underwent a videofluoroscopic swallowing study or fiberoptic endoscopic evaluation of swallowing during hospitalization. The authors developed prediction models using routinely available clinical variables (age, sex, stroke type, Japan Coma Scale, modified Rankin Scale, Functional Independence Measure motor and cognition, serum albumin level, body mass index, time from stroke onset) to estimate swallowing status based on Food Intake LEVEL Scale (FILS) thresholds of ≥3 and ≥7.

At the index assessment, 112 (88.9%) patients had FILS ≥3 and 73 (57.9%) had FILS ≥7. The area under the receiver operating characteristic curve (AUC) was 0.759 for FILS ≥3 and 0.821 for FILS ≥7. Decision curve analysis suggested greater clinical utility for the FILS ≥7 model than for the FILS ≥3 model.

The authors note that the models were internally validated only, and external validation is recommended before clinical application. Adverse events were not reported.

These findings suggest that routinely available clinical variables may help estimate swallowing status after acute stroke when dysphagia-specific assessments are unavailable or incomplete. However, clinicians should interpret the results cautiously given the lack of external validation.

This retrospective observational study looked at 126 patients who had their first-ever stroke. The researchers examined routinely available clinical variables such as age, sex, stroke type, and specific scores like the modified Rankin Scale. They also included serum albumin levels and body mass index in their analysis. The goal was to see if these common data points could predict swallowing status without needing specialized tests like videofluoroscopic swallowing studies or fiberoptic endoscopic evaluations.

The study found that 88.9 percent of patients met a threshold of 3 on the Food Intake LEVEL Scale, while 57.9 percent met a higher threshold of 7. Decision curve analysis suggested the model using the higher threshold of 7 offered greater clinical utility. This means it might be more helpful for making decisions about patient care.

The main reason to be careful is that the study used only internal validation. The researchers recommend external validation before these models are widely adopted. This retrospective observational study shows a link between common variables and swallowing estimates but does not prove causation. Readers should understand that these findings may not apply to all settings until further testing confirms them.

What this means for you:
Common hospital data may help estimate swallowing status after stroke when specialized tests are unavailable.

Study Details

Sample sizen = 126
EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Objectives: To develop and internally validate models that estimate swallowing status after acute stroke by using routinely available clinical variables. Methods: This retrospective observational study included patients with first-ever stroke who underwent a videofluoroscopic swallowing study or fiberoptic endoscopic evaluation of swallowing during hospitalization. Two binary outcomes were defined at the index assessment: Food Intake LEVEL Scale (FILS) [≥] 3 and FILS [≥] 7. The candidate predictors included age, sex, stroke type, Japan Coma Scale, modified Rankin Scale, Functional Independence Measure motor and cognition, serum albumin level, body mass index, and time from stroke onset. Performance was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, and decision curve analysis (DCA). Stability selection was used to examine the predictor consistency. Results: Among 126 patients, 112 (88.9%) and 73 (57.9%) patients had FILS [≥] 3 and FILS [≥] 7 at the index assessment, respectively. The out-of-fold AUCs were 0.759 and 0.821 for FILS [≥] 3 and FILS [≥] 7, respectively. DCA suggested greater clinical utility for the FILS [≥] 7 model than for the FILS [≥] 3 model. Stability selection showed that cognitive and functional measures were consistently important for FILS [≥] 3, whereas albumin and time from onset additionally contributed to FILS [≥] 7. Conclusions: Routinely available clinical variables may help estimate swallowing status after acute stroke when dysphagia-specific assessments are unavailable or incomplete. The FILS [≥] 7 model showed the most favorable potential clinical utility and should be externally validated.
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