Predictive value of serum YKL-40 and CCCK-18 for postoperative cerebral vasospasm in patients after subarachnoid hemorrhage surgery
LI Wuyan
JIA Yonglin
GAO Chengen
GAO Yingli
DU Weiwei
ZHU Lijuan
Abstract：Objective To investigate the predictive value of serum human cartilage glycoprotein 39(YKL-40)and caspase cleaved cytokeratin-18(CCCK-18)for postoperative cerebral vasospasm(CVS)in patients after subarachnoid hemorrhage(SAH)surgery.Methods A prospective study was conducted on 122 SAH patients who underwent surgical treatment in our department from October 2021 to October 2024.According to the occurrence of CVS at 4 d after surgery,they were divided into a CVS group(39 cases)and a non-CVS group(83 cases).According to the severity of CVS,the patients from the CVS group were further assigned into mild(8 cases),moderate(17 cases)and severe(14 cases)subgroups.Serum YKL-40 and CCCK-18 levels were measured.ROC curve was plotted to assess the predictive value of serum YKL-40 and CCCK-18 levels for CVS.Logistic regression was used to identify the influencing factors of CVS occurrence.Results Statistical differences were observed in Fisher and Hunt-Hess grades at admission between CVS group and non-CVS group(P<0.01).The serum YKL-40 and CCCK-18 levels were significantly higher in the CVS group than the non-CVS group(P<0.05),in the moderate and severe subgroups than the mild subgroup,and in the severe subgroup than the moderate subgroup(P<0.05).Serum YKL-40 and CCCK-18 level,and the Fisher and Hunt-Hess grades at admission were risk factors for CVS(P<0.05).The area under curve value of YKL-40 and CCCK-18 in predicting CVS was 0.883 and 0.874,respectively,while the value of their combination was 0.971,notably higher than single indicator.Conclusion Serum YKL-40 and CCCK-18 are highly expressed in CVS patients after SAH surgery.Their combination has high predictive value in predicting CVS occurrence.
Keywords：subarachnoid hemorrhagevasospasmintracranialforecastinghuman cartilage glycoprotein 39
Publication Date：2026-01-15
Online Publishing Date：2026-01-16(First online date of this platform, not the publication date of the document)
Pages：4( 66-69 )