Factors Influencing Early Diagnosis and Poor Prognosis of Dysphagia After Senile Ischemic Stroke.

Dysphagia is often a long-term problem after ischemic stroke, which are often accompanied by complications and results in poor outcome. This study aimed to investigate the influencing factors associated with the prognosis of dysphagia after senile ischemic stroke and evaluate the diagnostic performance of crucial factors. A total of 192 elderly ischemic stroke patients (96 patients without dysphagia with average age of 69.81 ± 4.61 years and 96 patients with dysphagia with average of 70.00 ± 6.66 years) were enrolled in the retrospective study. The clinical factors of the patients were collected and recorded for chi-square analysis and logistic analysis. The receiver operating characteristic (ROC) curve was performed to evaluate the diagnostic performance of international normalized ratio (INR) and homocysteine (Hcy) in senile ischemic stroke patients. The age, cough reflex, history of stroke, mechanical ventilation, eating posture, insufficient elevation of the larynx, standard swallowing assessment (SSA) score, Hcy value, and INR were closely related to endpoint events of patients with dysphagia. The joint model (combined INR and Hcy value) can increase the area under the curve (AUC) value (0.948) with higher sensitivity and specificity for predicting patients with dysphagia occurred endpoint events. The influencing factors for older ischemic stroke patients with dysphagia include age, cough reflex, history of stroke, mechanical ventilation, eating posture, insufficient elevation of the larynx, SSA score, Hcy value, and INR. INR and Hcy were independent risk factors for prognosis and diagnostic markers for patients with dysphagia after senile ischemic stroke.

Homocysteine, interleukin-1ß, and fasting blood glucose levels as prognostic markers for diabetes mellitus complicated with cerebral infarction and correlated with carotid intima-media thickness.

Diabetes mellitus complicated with cerebral infarction (DMCI) has a high incidence and disability rate. Therefore, identification of biomarkers for the early prediction of the development and progression of cerebral infarction (CI) is of great significance for the prevention and treatment of this disease. The roles of serum homocysteine (Hey), interleukin-1ß (IL-1ß), and fasting blood glucose (FBG) in DMCI and their correlations with carotid intima-media thickness (CIMT) were explored. A total of 124 patients with DMCI (DMCI group) and 103 patients with diabetes mellitus (DM) (DM group) admitted to the People's Hospital of Liuhe District of Nanjing were enrolled in this study. A further 100 healthy controls undergoing physical examinations during the same period (HC group) were also enrolled. CIMT value was detected by carotid artery ultrasound. Hey and FBG levels were determined by a fully automatic biochemical analyzer. The IL-1ß level was detected by enzyme-linked immunosorbent assay (ELISA). The levels of Hey, IL-1ß, and FBG and the CIMT value in the DMCI and DM groups were significantly higher than those in the HC group (P<0.001). The levels and the value in the DMCI group were significantly higher than those in the DM group (P<0.001). Hey, IL-1ß, and FBG levels were positively correlated with CIMT value (r=0.542, P<0.001; r=0.522, P<0.001; r=0.402, P<0.001). Receiver operating characteristic (ROC) curves showed that the sensitivity and specificity of Hey for diagnosing DMCI were 86.29 and 80.58%; those of IL-1ß were 68.55 and 86.41%; those of FBG were 69.35 and 88.35%. Multivariate logistic regression analysis revealed that systolic blood pressure (SBP), diastolic blood pressure (DBP), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), Hey, IL-1ß, FBG, and CIMT were independent risk factors for DMCI (P<0.05). In conclusion, patients with DMCI have severe atherosclerosis. Hey, IL-1ß, and FBG are involved in the development and progression of DMCI, so they can be used as predictive markers for the disease. Hey, IL-1ß, FBG, and CIMT are independent risk factors for patients with DMCI.