Relationship between changes in BNP, PCT, and SIGIRR levels in peripheral blood and prognosis of sepsis patients caused by abdominal infection and construction of a nomogram

This study aimed to explore the changes of serum brain natriuretic peptide (BNP), procalcitonin (PCT), and recombinant single Ig IL-1-related receptor (SIGIRR) in patients with sepsis associated with abdominal infection in emergency and their relationship with prognosis and construct a nomogram prediction model. A total of 160 emergency patients with abdominal infection were divided into simple infection group (n = 80) and sepsis group (n = 80) according to whether sepsis occurred or not, and the baseline data, serum BNP, PCT, and SIGIRR levels of the 2 groups were compared. Patients in the sepsis group were divided into survival group (n = 52) and death group (n = 28) according to their survival conditions within 28 days. The baseline data, serum BNP, PCT, and SIGIRR levels of the 2 groups were compared, and the diagnostic value of serum BNP, PCT, and SIGIRR levels in the sepsis group was analyzed by receiver operating characteristic (ROC) curve. The related factors affecting the prognosis of sepsis patients were analyzed using a binary logistic equation. The nomogram risk prediction model of poor prognosis of sepsis patients is drawn and verified by calibration curve and ROC curve. The serum levels of BNP, PCT, and SIGIRR in the simple infection group were significantly lower than those in the sepsis group (P < .05). In patients with sepsis group, the serum levels of BNP, PCT, and SIGIRR in the death group were significantly higher than those in the survival group (P < .05). ROC curve analysis showed that the areas under the curve of serum BNP, PCT, and SIGIRR in predicting the poor prognosis of sepsis patients were 0.874, 0.824, and 0.784, respectively. Univariate and multivariate logistic regression analyses showed that serum BNP, PCT, and SIGIRR levels were independent risk factors for poor prognosis of sepsis patients (P < .05). Based on the independent risk factors (BNP, PCT, and SIGIRR) screened by logistic regression model, the nomogram was constructed, with Concordance Index of 0.947, which indicated that the nomogram had good discrimination and consistency. The levels of BNP, PCT, and SIGIRR of patients with sepsis were significantly increased, which was significantly related to the poor prognosis of patients. The nomogram prediction model constructed on this basis is helpful for clinicians to provide better individualized treatment for the poor prognosis of patients with sepsis associated with abdominal infection.