RESUMO
Objective:To explore the correlation between systemic inflammatory response index (SIRI) and clinical outcome of patients with massive cerebral infarction (MCI) after craniotomy and decompression.Methods:The clinical data of 50 MCI patients who were treated in the Affiliated Hospital of Qingdao University from January 2016 to December 2020 and underwent craniotomy and decompression were retrospectively analyzed. The measurement data of normal distribution were expressed as xˉ± s, and the measurement data of non normal distribution were expressed as M( Q1, Q3). T-test or rank sum test was used for comparison between the two groups. Multivariate Logistic regression was used to analyze the relationship between SIRI and prognosis of MCI patients and establish a prediction model. The predictive value and optimal cutoff value of SIRI were analyzed by receiver operating characteristic curve (ROC). Results:Among the 50 MCI patients who underwent craniotomy and decompression, 12 (24%, 12/50) had a good prognosis; In the poor prognosis group, 38 cases (76%, 12/50), of which 9 cases (18%, 9/50) died during hospitalization. The age of patients in the good prognosis group and the poor prognosis group ((54±11) years and (63±9) years; t=2.72, P=0.015), body mass index (BMI): ((23.91±2.64) kg/m 2 and (26.72±3.28) kg/m 2, t=3.01, P=0.006)), neutrophil count (7.08 (5.12, 7.38))×10 9/L and 10.59 (8.91,14.64)×10 9/L, Z=5.72, P<0.001), white blood cell count ((9.09±2.80)×10 9/L and (13.20±3.49) ×10 9/L; t=4.16, P<0.001), SIRI (2.49(1.78, 4.75) and 8.34(5.17, 13.61); Z=3.84, P<0.001), Glasgow Coma Score (12(9,14) and 8(6,10); Z=3.36, P=0.002) and lymphocyte count (1.58(0.91, 1.91)×10 9/L and 0.77(0.59,1.02) ×10 9/L; Z=3.30, P=0.001).The difference between the two groups was statistically significant. The prognosis of patients with dominant hemisphere infarction was worse than that of patients with non-dominant hemisphere infarction (22 cases (91.67%, 22/24) vs. 16 cases (61.54%, 16/26); χ 2=6.21, P=0.013). The ICU stay in the good prognosis group was significantly shorter than that in the poor prognosis group (2 (1, 5) days vs. 8 (3, 19) days; Z=2.78, P=0.005). Multivariate Logistic regression analysis showed that SIRI and GCS were correlated with clinical prognosis: SIRI ( OR: 2.378; 95% CI: 1.131-5.003; P=0.022); GCS at admission ( OR: 0.548; 95% CI: 0.307-0.980; P=0.043). The ROC curve analysis of SIRI prediction of poor prognosis: Area under the curve (AUC): 0.871, (95% CI: 0.765-0.976, P<0.001), sensitivity was 78.9%, specificity was 88.3%, and the optimal cut-off value was 4.96. The sensitivity, specificity and AUC of GCS for predicting poor prognosis after MCI craniotomy decompression were 89.5%, 58.3% and 0.791 (95% CI: 0.638~0.943, P=0.003), and the best truncation value was 11.5. Conclusion:SIRI was an effective predictor of clinical outcome for MCI patients underwent Craniotomy for decompression, and SIRI value greater than 4.96 indicates adverse clinical outcome.