Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Add filters

Year range
Journal of Xi'an Jiaotong University(Medical Sciences) ; (6): 14-21, 2023.
Article in Chinese | WPRIM | ID: wpr-1005495


【Objective】 To investigate the correlation of monocytes and high-density lipoprotein cholesterol ratio(MHR) and albumin with the severity of coronary artery lesions in patients with unstable angina pectoris. 【Methods】 We enrolled 342 patients with unstable angina pectoris. According to the Gensini score of their coronary angiography results, they were divided into Gensini≤ 20 group, 20<Gensini ≤40 group, and Gensini >40 group. The differences in biochemical indicators between the groups were compared, and the correlation between the different indicators and the Gensini score was analyzed. According to the MHR quartile grouping, there were differences between the comparison groups. LDL-C was divided into subgroups and then subjected to multifactor Logistic regression analysis. 【Results】 MHR differed significantly among low, moderate and high grade lesions (P<0.05). Subgroup analysis showed that in low LDL-C group, Gensini score was positively correlated with MHR(P<0.05), while in high LDL-C group, Gensini score was negatively correlated with albumin(P<0.05). Multivariate Logistic regression analysis showed that the MHR level of patients with high Gensini score was 102.375 times higher than that of patients with low Gensini score(P<0.05). In the group with high LDL-C, the serum albumin level in the group with low Gensini score was 1.431 times that in the group with high Gensini score and 1.218 times that in the group with moderate Gensini score(all P<0.05). 【Conclusion】 In patients with unstable angina pectoris, especially when LDL-C levels are not high, both high MHR and low serum albumin are independent risk factors for the severity of coronary artery disease.

Chinese Journal of Organ Transplantation ; (12): 743-748, 2022.
Article in Chinese | WPRIM | ID: wpr-994625


Objective:To establish risk stratifying criteria for acute rejection(AR)after kidney transplantation(KT)through analyzing the preoperative risk factors of KT recipients from deceased donor(DD).Methods:A retrospective study is conducted for 1 382 KT recipients of DD kidney at First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2020.According to the presence or absence of AR within 1 year post-KT, they are divided into two groups of acute rejection(group AR, 115 cases)and non-rejection(group non-AR, 1 267 cases). Clinical data of two groups are examined by univariate and multivariate analyses for determining the risk factors of AR and a scoring standard is established on the basis of regression coefficients.They are divided into three groups of low-risk(907 cases), middle-risk(450 cases)and high-risk(25 cases)according to the scoring results and the incidence of AR is compared among different scoring groups.Results:Univariate analysis indicates that donor age(AR, 793 cases; non-AR, 474 cases, P=0.033), age difference between recipients and donors≥25 years(AR, 63 cases; non-AR; 315 cases; P<0.001), recipient panel-reactive antibodies(PRA)plus donor-specific antibody(DSA)(+ )(AR, 96 cases; non-AR, 1 169 cases, P=0.002), donor kidney cold ischemic time≥12h(AR, 81 cases; non-AR, 1 064 cases, P<0.001), donor/recipient HLA mismatch≥3(AR, 70 cases; non-AR, 984 cases, P<0.001)and expanded criteria donor(ECD)(AR, 50 cases; non-AR, 790 cases, P<0.001)are high risk factors for AR(all P<0.05). Variables with statistical significance during univariate analysis are included for multivariate analysis.Five variables are finally determined, including age difference between recipients and donors≥25 years(β=0.61, P=0.006), PRA+ DSA(+ )(β=0.74, P=0.008), donor kidney cold ischemic time≥12 h(β=0.74, P<0.001), HLA mismatch(≥3)(β=0.81, P<0.001)and ECD(β=0.82, P<0.001). Score for each risk factor is calculated according to the relevant regression coefficient and scoring standard formulate on the basis of the above five risk factors with a total score of 36.With an overall incidence of AR at 8.32%(115/1 382), the incidence of AR is 4.3%, 14.7% and 40.0% in low/middle/high-risk group and the difference is statistically significant.It hints that immune risk stratification can effectively determine the risk of postoperative AR for KT recipients.The incidence of AR is significantly higher in middle/high-risk group than that in low-risk group ( P<0.001). Conclusions:For recipients with middle/high immune risk, intensity and dose of immunosuppressants should be appropriately boosted during preoperative induction and maintenance period.And the occurrences of AR and infection should be dynamically monitored.