Objective:To explore the risk factors of ischemic stroke after coronary artery bypass grafting(CABG) in elderly(≥75 years old)patients, establish a risk prediction model and evaluate it.Methods:From January 2015 to September 2021, a total of 1 553 elderly patients with coronary artery disease who were admitted to Beijing Anzhen Hospital for coronary artery bypass grafting were included retrospectively. Among which 1 121(72%) cases were males, with a median age of 77( IQR 75, 78) years. Clinical data were collected and univariate analysis and multiple logistic regression analysis were used to explore the risk factors of ischemic stroke after CABG in elderly patients. After the establishment of risk prediction model, we constructed the nomogram, and tested the discrimination and calibration of the model. Results:All patients underwent CABG, there were 35 patients with ischemic stroke after operation, with an incidence of 2.25%(35/1 553). Multivariate logistic regression analysis showed that diabetes( OR=2.61, 95% CI: 1.31-5.32), old myocardial infarction( OR=3.62, 95% CI: 1.61-7.63), systolic blood pressure( OR=1.03, 95% CI: 1.01-1.04) and vertebral artery stenosis( OR=1.01, 95% CI: 1.00-1.02) were independent risk factors for postoperative cerebral infarction in patients undergoing CABG. The model was presented by a nomogram, and the model discrimination was evaluated by ROC curve. The area under the curve( AUC) was 0.757, indicating a optimal discrimination. Hosmer- Lemeshow test of goodness of fit was performed to evaluate the model calibration( χ2=6.209, P=0.624). Conclusion:Diabetes mellitus, old myocardial infarction, systolic blood pressure and vertebral artery stenosis are independent risk factors for ischemic stroke in elderly patients after CABG. The established risk prediction model has optimal discrimination and calibration.

Objective To investigate the correlation between red blood cell distribution width(RDW),systemic immune-inflammation index(SII)and major depressive disorder(MDD).Methods The clinical data of 176 MDD patients hospitalized in the clinical psychology department of our hospital from 2020 to 2022 and 209 non-MDD comparators who were routinely examined in Hebei General Hospital were retrospectively analyzed.Blood analysis was conducted to obtain values of RDW,SII,and red blood cell distribution width/platelet ratio(RPR).The data was used to plot the receiver operator characteristic(ROC)curve to determine the optimal threshold and the area under the curve(AUC)for RDW to discriminate between patients and controls.Result Patients in the MDD group had significantly higher RDW[median and quartiles:13.20(12.70,13.98)vs.12.80(12.40,13.35)],and SII levels[median and quartiles 510.87(350.95,878.12)vs.405.33(313.74,539.92)]compared with those in non-MDD group(P<0.05).There was no significant difference in RPR between the two groups(P>0.05).Multifactorial logistic regression analysis showed that RDW was positively correlated with MDD after adjusting for confounders(OR=3.086,95% CI:1.926-4.944).ROC curve showed that the optimal threshold for RDW to differentiate the risk of developing MDD was 12.85,with an AUC of 0.647(95% CI:0.592-0.702;P<0.001).Conclusion Present study shows that high RDW is a risk factor for the occurrence of MDD and an important parameter for the risk of developing depression.

Objective:To investigate the relationship between white blood cells, neutrophil-lymphocyte ratio(NLR), platelet-lymphocyte ratio(PLR) and monocyte-lymphocyte ratio(MLR) with patients suffering from first episode depression.Methods:This retrospective study was conducted among inpatients of Hebei General Hospital from January 2021 to December 2021.Ultimately, 193 patients with first-episode depression were enrolled.According to the score of Hamilton depression scale-24 (HAMD-24), the patients were divided into mild-moderate depression group(20≤HAMD-24<35 score, n=98) and severe depression group (HAMD-24 score ≥35, n=95). White blood cells and the counts of each cell subtype were detected and the NLR, MLR and PLR were calculated.SPSS 25.0 statistical software was used to analyze the data.Mann-Whitney U test was used to compare differences in the two groups and Binary Logistic regression analyses were performed to recognize the predictive factors of the severity of first episode depression. Results:(1) The white blood cells and NLR in the severe depression group were significantly higher than those in the mild-moderate depression group (white blood cells: 5.77(2.05)×10 9/L vs 5.11(1.31)×10 9/L; NLR: 1.86 (1.04) vs 1.57(0.55), P<0.05). There were no significant differences in PLR and MLR between the two groups ( P>0.05). (2)Multiple regression analysis of NLR, white blood cells and HAMD-24 score showed that there were significant differences in the effect of different white blood cells and NLR levels on HAMD-24 score( B=1.398, P=0.003; B=2.624, P=0.001). (3)Binary Logistic regression revealed that white blood cell count and NLR were risk factors for the severity of depression patients( OR were 1.612 and 2.336, respectively, P<0.05). Conclusion:The results suggest that white blood cells and NLR may be relate with the severity of first episode depression.

Escherichia coli ; chemistry ; cytology ; Fluorine Radioisotopes ; MAP Kinase Kinase 5 ; chemistry ; metabolism ; MAP Kinase Kinase Kinase 3 ; chemistry ; metabolism ; Nuclear Magnetic Resonance, Biomolecular ; Protein Binding ; Protein Interaction Mapping ; methods ; Protein Interaction Maps