The Value of Serum IL-6,IL-1β,and NLR Combined with NIHSS Scores in Predicting the Occurrence of Depressive Disorders in Patients after Stroke

WANG Long; FANG Lijun; JIANG Lingling; LIN Qi

doi:10.3639/j.issn.2095-3097.2024.11.037

Abstract：Objective To explore the application value of serum interleukin-6(IL-6),interleukin-1β(IL-1β),neutro-phil-to-lymphocyte ratio(NLR)combined with the National Institutes of Health Stroke Scale(NIHSS)score in predicting post-stroke depression(PSD).Methods A total of 180 patients with a first-time stroke were selected and divided into the PSD group(44 cas-es)and the non-PSD group(136 cases)based on the occurrence of PSD.Clinical data was collected,including serum levels of IL-6,IL-1β,NLR,and NIHSS scores.Univariate analysis and multivariate logistic regression were employed to identify risk factors for PSD,and the predictive efficacy of the aforementioned indicators for PSD was assessed using receiver operating characteristic curves(ROC).Results Univariate analysis revealed statistically significant differences in hypertension,family monthly income per capita,serum levels of IL-6,IL-1β,NLR,and NIHSS scores between the two groups(P<0.05).Logistic regression analysis indicated that ele-vated serum levels of IL-6,IL-1β,NLR,and NIHSS scores are independent risk factors for PSD(OR>1,P<0.05).ROC analysis showed that when serum IL-6≥20.210 pg/mL,the sensitivity for predicting PSD was 77.3%and the specificity was 77.2%;when IL-1β≥30.025 pg/mL,the sensitivity was 72.7%and the specificity was 75.0%;when NLR≥3.365,the sensitivity was 70.5%and the spec-ificity was 75.7%;and when NIHSS score≥15.50,the sensitivity was 68.2%and the specificity was 73.5%.The area under the curve(AUC)for the combined prediction of PSD by the four indicators was 0.853,with a sensitivity of 79.5%and a specificity of 82.4%,which was superior to the predictive efficacy of any single indica-tor.Conclusion Elevated serum levels of IL-6,IL-1β,NLR,and NIHSS scores are closely associated with the oc-currence of PSD.The combined use of these four indicators can significantly enhance the predictive efficacy for PSD.