Predictive value of water swallow test score, serum albumin, and systemic immune-inflammation index for stroke-associated pneumonia in patients with acute isolated pontine infarction - Report - MDSpire
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Predictive value of water swallow test score, serum albumin, and systemic immune-inflammation index for stroke-associated pneumonia in patients with acute isolated pontine infarction
Clinical Report: Predictors of Stroke-Associated Pneumonia in AIPI Patients
Overview
This study identifies independent predictors of stroke-associated pneumonia (SAP) in patients with acute isolated pontine infarction (AIPI) and assesses the association between SAP and short-term prognosis. Key predictors include Water Swallow Test scores, serum albumin levels, and the systemic immune-inflammation index.
Background
Stroke-associated pneumonia (SAP) is a significant complication following acute ischemic stroke, leading to increased disability and mortality. Acute isolated pontine infarction (AIPI) is particularly associated with a high risk of SAP due to factors such as dysphagia. Identifying predictors specific to AIPI can enhance early risk stratification and preventive strategies.
Data Highlights
Variable
Value
SAP Incidence
10.61%
WST Score OR
2.622
Serum Albumin OR
0.831
SII OR
1.004
AUC
0.938
Sensitivity
89.5%
Specificity
86.9%
Key Findings
SAP occurred in 10.61% of patients with AIPI.
Patients with SAP were older and had higher WST scores and NIHSS scores.
Independent predictors of SAP included WST score, serum albumin level, and SII.
The combined model of predictors demonstrated excellent predictive performance (AUC = 0.938).
SAP was associated with a significantly increased risk of poor functional outcomes (mRS score ≥ 3).
Clinical Implications
The identification of WST scores, serum albumin levels, and SII as predictors of SAP can aid clinicians in early identification of at-risk patients. Implementing these predictors in clinical practice may facilitate timely interventions to prevent SAP in patients with AIPI.
Conclusion
The study highlights the importance of specific predictors for SAP in AIPI patients, which can inform clinical decision-making and improve patient outcomes.
