Predictive Value of Substance P for Pulmonary Infection in Patients With Acute Cerebral Infarction During Hospitalization
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background and Purpose This study aimed to evaluate the predictive value of serum substance P (SP) levels at hospital admission for the development of pulmonary infection during hospitalization in patients with acute cerebral infarction.Additionally, the study explored the association between SP levels and the severity of inflammation following pulmonary infection.Methods A total of 340 patients with acute cerebral infarction were retrospectively analyzed.Serum SP concentrations were measured upon hospital admission.During hospitalization, 96 patients developed pulmonary infections of varying severity, while 244 patients remained free of pulmonary infection.In patients who developed infection, serum levels of high-sensitivity C-reactive protein, procalcitonin, and interleukin-6 were also measured. ResultsInvasive procedures, dysphagia, admission National Institutes of Health Stroke Scale (NIHSS) score, age, and serum SP concentration at admission were identified as significant risk factors for pulmonary infection in patients with acute cerebral infarction.Receiver operating characteristic curve analysis showed that serum SP concentration at admission had a sensitivity of 65.63% and specificity of 85.66% for predicting pulmonary infection (area under the curve=0.81,p<0.001).Moreover, SP levels at admission were positively correlated with NI-HSS scores and the levels of inflammatory markers.Conclusions Serum SP concentration at the time of admission has predictive value for the development of pulmonary infection during hospitalization in patients with acute cerebral infarction and may serve as an early indicator of infection risk.
Source: Journal of Clinical Neurology
Authors: Lingling Jiang, Qingfang Yuan, Xiaoying Guo, Bei Zhou, Yaya Zhang, Li Li, Chang Yan, Yulei Zhang, Yiqian Ma
Institutions: Suzhou Municipal Hospital, Nanjing Medical University
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4413230703
