Objective:To investigate the predictive value of circulating miR-143 and miR-182 for the short-term clinical outcomes in patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to Danzhou People's Hospital from January 2018 to June 2020 were included prospectively. The modified Rankin Scale was used to evaluate the short-term clinical outcome at 14 d after onset or at discharge. 0-2 was defined as good outcome, and >2 was defined as poor outcome. Multivariate logistic regression analysis was used to identify the independent risk factors for poor short-term clinical outcomes in patients with AIS. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of miR-143 and miR-182 for the short-term clinical outcomes in patients with AIS. Results:A total of 158 patients with AIS, aged 65.80±12.36 years, were enrolled, including 105 males (66.46%), 95 patients with good outcome (60.1%) and 63 with poor outcome (39.9%). The age, total cholesterol, triglyceride, low-density lipoprotein cholesterol, baseline National Institutes of Health Stroke Scale (NIHSS) score, serum miR-143 and miR-182 level in the poor outcome group were significantly higher than those in the good outcome group (all P<0.05). Multivariate logistic regression analysis showed that age (odds ratio [ OR] 1.984, 95% confidence interval [ CI] 1.315-3.617; P=0.036), low-density lipoprotein cholesterol ( OR 2.108, 95% CI 1.406-4.103; P=0.013), baseline NIHSS score ( OR 2.584, 95% CI 1.675-4.505; P=0.005), miR-143 ( OR 3.205, 95% CI 2.370-6.180; P<0.001) and miR-182 ( OR 2.802, 95% CI 1.905-5.516; P<0.001) were the independent risk factors for poor outcomes in patients with AIS. ROC curve analysis showed that the combined area under the curve of miR-143 and miR-182 to predict the poor outcome in patients with AIS was 0.935 (95% CI 0.873-0.992), the sensitivity and specificity were 96.5% and 87.0% respectively. Conclusions:The increase of serum miR-143 and miR-182 was closely associated with the poor short-term outcomes in patients with AIS. The combination of the two has a good predictive value for the poor short-term outcomes in patients with AIS.

Objective:To investigate the expressions of serum microRNA-24 (miR-24) and microRNA-29b (miR-29b) in elderly patients with acute ischemic stroke (AIS) and their neural function prognostic value.Methods:A prospective study was conducted. 170 elderly patients with AIS admitted to department of neurology of Danzhou People's Hospital from January 1st, 2017 to March 31st, 2019 were enrolled. According to modified Rankin scale (mRS) score, the patients were divided into good neural function prognosis group (mRS score ≤ 2, n = 105) and poor neural function prognosis group (mRS score > 2, n = 65). According to National Institutes of Health stroke scale (NIHSS) score, the patients were divided into mild group (NIHSS score < 5, n = 50), moderate group (NIHSS score 5-20, n = 76) and severe group (NIHSS score > 20, n = 44). Sixty-five healthy volunteers in the same period were enrolled as the control group. The expressions of serum miR-24 and miR-29b were determined by real-time fluorescent quantitative reverse transcription-polymerase chain reaction (RT-qPCR). Receiver operating characteristic (ROC) curve was plotted to analyze the value of serum expressions of miR-24 and miR-29b for predicting the poor neural function prognosis of elderly patients with AIS. Pearson correlation was used to analyze the correlation between the expressions of serum miR-24, miR-29b and NIHSS, mRS scores in elderly patients with AIS. Results:The expressions of serum miR-24 and miR-29b in the AIS group were significantly lower than those in the healthy control group [miR-24 (2 -ΔΔCt): 0.64±0.17 vs. 2.18±0.85, miR-29b (2 -ΔΔCt): 0.72±0.21 vs. 3.05±0.96, both P < 0.01]. The expressions of serum miR-24 and miR-29b in the poor neural function prognosis group were significantly lower than those in the good neural function prognosis group [miR-24 (2 -ΔΔCt): 0.20±0.05 vs. 1.16±0.48, miR-29b (2 -ΔΔCt): 0.18±0.03 vs. 1.41±0.56, both P < 0.01]. The expressions of serum miR-24 and miR-29b in the severe group were significantly lower than those in the mild and moderate groups [miR-24 (2 -ΔΔCt): 0.13±0.02 vs. 1.30±0.51, 0.56±0.14; miR-29b (2 -ΔΔCt): 0.09±0.01 vs. 1.52±0.60, 0.62±0.13; all P < 0.01], and they were significantly lower in the moderate group than those in the mild group (all P < 0.01). ROC curve analysis showed that the optimal cut-off values of serum miR-24 and miR-29b expressions for predicting poor neural function prognosis in elderly AIS patients were 0.53 and 0.48, respectively. The area under ROC curve (AUC) of the two combined prognoses was 0.920 [95% confidence interval (95% CI) was 0.861-0.982], and it was significantly higher than that of miR-24 (AUC was 0.802, 95% CI was 0.742-0.860) or miR-29b (AUC was 0.835, 95% CI was 0.778-0.890) alone ( Z values were 6.513 and 4.902, respectively, both P < 0.05), with sensitivity and specificity of 92.0% and 85.7%. Pearson correlation analysis showed that the expressions of serum miR-24 and miR-29b were negatively correlated with NIHSS score ( r values were -0.758 and -0.794, respectively) and mRS score ( r values were -0.817 and -0.860, respectively) in elderly AIS patients (all P < 0.01). Conclusion:The down-regulated expressions of serum miR-24 and miR-29b are correlated with the severity degree of neurological impairment and neural function prognosis of elderly AIS patients, and the two combined have certain value for predicting the neural function prognosis of elderly AIS patients.

Objective:To investigate the predicting value of serum miR-195 and miR-599 for the outcome of patients with acute ischemic stroke (AIS).Methods:Patients with AIS admitted to Danzhou People's Hospital from January 2018 to July 2020 were enrolled prospectively. The modified Rankin Scale was used to evaluate the outcome of patients at 14 d after onset or when they were discharged from the hospital. A score of 0-2 was defined as a good outcome and a score of >2 were defined as a poor outcome. Multivariate logistic regression analysis was used to determine the independent risk factors for poor outcome of patients with AIS. Receiver operating characteristic (ROC) curve analysis was used to determine the predictive value of serum miR-195 and miR-599 for the poor outcome of patients with AIS. Results:A total of 158 patients with AIS were enrolled. Their age was (65.80±12.36) years old, 105 were males (66.46); 95 patients (60.1%) had a good outcome, and 63 patients (39.9%) had a poor outcome. The age, total cholesterol, triglycerides, low-density lipoprotein cholesterol, baseline National Institutes of Health Stroke Scale (NIHSS) score, serum miR-195 and miR-599 levels in the poor outcome group were significantly higher than those of the good outcome group ( P<0.05). Multivariate logistic regression analysis showed that age (odds ratio [ OR] 1.984, 95% confidence interval [ CI] 1.315-3.617; P=0.036), low-density lipoprotein cholesterol ( OR 2.108, 95% CI 1.406-4.103; P=0.013), baseline NIHSS score ( OR 2.584, 95% CI 1.675-4.505; P=0.005), serum miR-195 ( OR 3.927, 95% CI 2.615-8.227; P<0.001) and miR-599 ( OR 2.952, 95% CI 1.973-6.114; P<0.001) were the independent risk factors for the poor outcome of patients with AIS. ROC curve analysis showed that the area under the curve (0.938, 95% CI 0.882-0.997) of serum miR-195 combined with miR-599 for predicting poor outcome was significantly higher than that predicted alone, and its predictive sensitivity and specificity were 97.0% and 87.4% respectively. Conclusions:The higher levels of serum miR-195 and miR-599 are associated with the poor outcome of patients with AIS. The combination of the both had good predictive value for the poor outcome of patients with AIS.

【Objective】 To investigate the predictive value of nutritional risk index (NRI), systemic immune inflammatory index (SⅡ) and triglyceride glucose (TyG) index on the condition and prognosis of patients with acute pancreatitis (AP). 【Methods】 A total of 173 AP patients were divided into mild acute pancreatitis (MAP) group (n=79), moderate acute pancreatitis (MSAP) group (n=44), and severe acute pancreatitis (SAP) group (n=50) according to their severity. All the 50 SAP patients were divided into death group (19 cases) and survival group (31 cases) according to the death situation. The NRI, SⅡ and TyG indexes of each group were recorded and compared. The values of NRI, SⅡ and TyG index in predicting the occurrence and death of SAP were analyzed with ROC curve. Pearson correlation analysis of the correlation between NRI, SⅡ, and TyG index in SAP patients was made. 【Results】 NRI was significantly lower in SAP group (89.25±4.50) than in MSAP group (93.40±6.25) and MAP group (97.62±8.60), while SⅡand TyG index in SAP group (2 706.30±1 052.74, 7.84±1.21) were significantly higher than those in MSAP group (1 937.24±983.48, 6.52±1.05) and MAP group (1 280.58±717.36, 4.65±0.58) (P<0.001). NRI in death group (86.40±3.70) was significantly lower than that in survival group (91.46±5.28), while SⅡ and TyG index in death group (3 085.73±1 192.48, 9.05±1.37) were significantly higher than those in survival group (2 270.26±994.53, 6.70±1.10) (P<0.001). The ROC curve showed that the AUC of NRI, SⅡ and TyG index jointly predicting SAP occurrence and death was 0.850 (95% CI: 0.792-0.908) and 0.905 (95% CI: 0.843-0.966), respectively. Correlation analysis showed that NRI was negatively correlated with SⅡ and TyG index in SAP patients (r=-0.761, P<0.001, r=-0.813, P<0.001), while SⅡ was positively correlated with TyG index (r=0.842, P<0.001). 【Conclusion】 NRI, SⅡ and TyG index are related to the severity and death of AP patients, and the combination of the three indexes has good value in predicting the occurrence and prognosis of SAP.