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YKL-40 at admission predicts stroke-associated pneumonia and outcome in patients with acute ischemic stroke / 国际脑血管病杂志
Article in Zh | WPRIM | ID: wpr-954172
Responsible library: WPRO
ABSTRACT

Objective:

To investigate the predictive value of YKL-40 at admission on stroke-associated pneumonia (SAP) and poor outcome in patients with acute ischemic stroke (AIS).

Methods:

Patients with AIS admitted to Taixing People’s Hospital from February 2020 to March 2021 were enrolled prospectively. The poor outcome was defined as 3-6 points on the modified Rankin Scale at 90 d after onset. Multivariate logistic regression analysis was used to determine the independent predictors of SAP and poor outcome, and the predictive value of serum YKL-40 on SAP and poor outcome was evaluated by receiver operating characteristic (ROC) curve.

Results:

A total of 377 patients with AIS were enrolled. The median serum YKL-40 was 127.16 μg/L. One hundred and four patients (27.6%) had SAP, and 126 (33.4%) had poor outcomes at 90 d after onset. Multivariate logistic regression analysis showed that after adjusting for confounding factors, YKL-40 was the independent predictors of SAP (odds ratio [ OR] 1.005, 95% confidence interval [ CI] 1.003-1.008; P=0.001) and poor outcome at 90 d ( OR 1.009, 95% CI 1.006-1.011; P=0.001). The ROC curve analysis showed that the area under the curve of YKL-40 for predicting SAP was 0.769 (95% CI 0.713-0.824; P<0.001), the best cutoff value was 168.70 μg/L, and the sensitivity and specificity were 71.2% and 75.1% respectively; the area under the curve of YKL-40 for predicting poor outcome at 90 d was 0.787 (95% CI 0.735-0.840; P<0.001), the best cutoff value was 195.56 μg/L, and the sensitivity and specificity were 68.3% and 84.1% respectively.

Conclusion:

Higher serum YKL-40 at admission has a good predictive value for SAP and poor outcome at 90 d in patients with AIS.
Key words
Full text: 1 Index: WPRIM Language: Zh Journal: International Journal of Cerebrovascular Diseases Year: 2022 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: International Journal of Cerebrovascular Diseases Year: 2022 Type: Article