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  • Combined Predictive Value of Neutrophil-to-lymphocyte Ratio and Platelet-to-lymphocyte Ratio for In-hospital Mortality Risk in Patients with Acute Myocardial Infarction

    Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2023-03-31 Cooperative journals: 《中国全科医学》

    Abstract:  Background Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have been shown to have significant predictive value for cardiovascular disease in previous studies,however,whether the combination of NLR and PLR can enhance the predictive value for in-hospital mortality riskin patients with acute myocardial infarction(AMI) has not been investigated. Objective To investigate the combined predictive value of NLR and PLR in the short-term prognosis of AMI patients. Methods The case data of 3,246 AMI patients hospitalized in the Department of Cardiology of the Second Hospital of Dalian Medical University from December 2015 to December 2021 were included,with the final outcome of all-cause death during hospitalization,who were divided into in-hospital death and non-death groupsand matched 1 ∶ 1 using propensity score matching (PSM). Receiver operating characteristic(ROC) curves were plotted for the predictive value of NLR+PLR,NLR,and PLR for the risk of in-hospital death in AMI patients. In order to better evaluate the predictive value of NLR+PLR for in-hospital mortality risk in patients with different types of AMI,patients were divided into NSTEMI and STEMI groups,and the predictive values of NLR+PLR,NLR,and PLR for in-hospital mortality risk in patients with NSTEMI and STEMI groups were analyzed. Results (1)Patients who died during hospitalization were matchedbased on PSM in a 1 ∶ 1 ratio,with 115 patients in each group. There was no significantly differentin matching variables between the two groups after matching( P>0.05).(2)The area under the ROC curve of NLR + PLR for predicting the risk of in-hospital mortality in AMI patients(AUC=0.754) was greater than NLR (AUC=0.731) and PLR(AUC=0.577)( P<0.05). (3)NLR+PLR had a higher predictive ability for inhospital mortality risk in STEMI patients(AUC=0.797) than in NSTEMI patients(AUC=0.739). Conclusion Compared with NLR or PLR alone,the combination of NLR and PLR can better predict the risk of in-hospital mortality in AMI patients,especially with better efficacy in STEMI patients.

  • Correlation of Discordance between Remnant Lipoprotein Cholesterol and Non-high-density Lipoprotein Cholesterol and Severity of Coronary Stenosis

    Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2023-03-28 Cooperative journals: 《中国全科医学》

    Abstract: Background  Discordance between blood lipids has been shown to be associated with the occurrence of serious coronary events in patients with coronary artery disease(CAD),which may lead to the overestimation or underestimation of the risk of coronary events. The clinical significance of discordance between residual lipoprotein cholesterol(RLP-C)and non-high-density-lipoprotein cholesterol(non-HDL-C)still remains unclear in present. Objective  To determine the correlation of discordance between RLP-C and non-HDL-C and the severity of coronary artery stenosis in patients with CAD. Methods  A total of 421 patients with complete coronary angiographic records and Gensini score which can be fully calculated from a previous normal high blood pressure cohort study database were retrospectively analyzed and divided into 4 groups based on the median RLP-C and non-HDL-C levels in the cohort,including concordantly low RLP-C group:RLP-C展开 -->

  • Combined predictive value of neutrophil-lymphocyte ratio and platelet-lymphocyte ratio for risk of in-hospital mortality in patients with acute myocardial infarction: a propensity score-based retrospective cohort study

    Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2023-01-09 Cooperative journals: 《中国全科医学》

    Abstract:

    Background  Studies have shown that neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) have important predictive value for cardiovascular diseases. No studies have investigated whether the combination of NLR and PLR can enhance its predictive value for in-hospital mortality in patients with acute myocardial infarction. Objective  To investigate whether the combined predictive model (NLR + PLR) constructed based on logistic regression algorithm can improve the predictive value of in-hospital mortality risk in patients with AMI. Methods A single-center, regression cohort study of 3246 AMI patients with complete medical history admitted to the Department of Cardiology of the Second Affiliated Hospital of Dalian Medical University from December 2015 to December 2021 was conducted. The outcome was defined as all-cause mortality during hospitalization. Results  (1) The patients who died during hospitalization were matched according to the ratio of 1:1 based on Propensity Score Matching (PSM). All patients who died were successfully matched, resulting in 115 pairs of patients. There was no significant difference between the groups of patients who died during hospitalization (N = 115) and those who did not (N = 115) on the 20 independent variables already included in the matching (P > 0.05). (2) NLR + PLR (NLR combined with PLR) was superior to NLR (AUC = 0.754) and PLR (AUC = 0.731) alone in predicting the risk of in-hospital mortality, with a significant difference in the area under the ROC curve (P = 0.037, P < 0.001, respectively). (3) the optimal cut-off value for NLR + PLR was 0.5491 (Youden index = 0.4087, sensitivity = 85.22%, specificity = 55.65%).Cox regression analysis showed that patients with NLR + PLR > 0.549 had a higher risk of death (HR 2.936; 95% CI 1.963 – 4.392; P < 0.001) than patients with NLR + PLR ≤ 0.549. (4) NLR + PLR had a higher predictive ability for the risk of in-hospital mortality in patients with ST-segment elevation myocardial infarction (STEMI) (AUC = 0.797) than in patients with non-ST-segment elevation myocardial infarction (NSTEMI) (AUC = 0.739). Conclusions  In this retrospective cohort study, we adjusted for multiple risk factors affecting in-hospital mortality in hospitalized AMI patients by propensity score matching.Our findings suggest that NLR combined with PLR can more accurately predict in-hospital mortality risk in AMI patients, especially in STEMI patients, than NLR or PLR alone.

  • Association between the Discordance between Remnant Lipoprotein Cholesterol and Non-High-Density Lipoprotein Cholesterol and Severity of Coronary Artery Stenosis

    Subjects: Physics >> General Physics: Statistical and Quantum Mechanics, Quantum Information, etc. submitted time 2022-11-22 Cooperative journals: 《中国全科医学》

    Abstract:

    Background It has been shown that discordance between blood lipids is associated with serious coronary events in patients with coronary heart disease and may lead to an overestimation or underestimation of the risk of coronary events, and the clinical significance of inconsistency between residual lipoprotein cholesterol (RLP-C) and non-high density lipoprotein cholesterol (non-HDL-C) is not clear. Objective To determine the relationship between the inconsistency of RLP-C and non-HDL-C and the severity of coronary artery stenosis in patients with coronary artery disease (CAD). Methods A total of 421 patients with complete coronary angiographic records and complete Gensini score calculations from a previous normal high blood pressure cohort study database were retrospectively analyzed and were divided into 4 groups based on the median RLP-C and non-HDL-C levels in the cohort: Group 1: RLP-C < medianRLP-C and non-HDL-C < mediannon-HDL-C; Group 2: RLP-C < medianRLP-C andnon-HDL-C ≥ mediannon-HDL-C(discordantly low RLP-C group); Group 3: RLP-C ≥ medianRLP-C and non-HDL-C< mediannon-HDL-C(discordantly high RLP-C group); Group 4: RLP-C ≥ medianRLP-C and non -HDL-C ≥ mediannon-HDL-C. Groups 2 and 3 are discordant groups, and groups 1 and 4 are concordant groups. The severity of coronary stenosis was determined using the Gensini scoring system. The median values of RLP-C and non-HDL-C were 0.72mmol/L and 3.13mmol/L, respectively. Results discordance were observed in 34% of patients. In subgroups 1, 2, 3, and 4, 15%, 19%, 32%, and 25% of patients had severe CAD, respectively (P = 0.033). In the logistic model, there was no difference in CAD severity between the discordant and concordant groups (OR=1.451, 95%CI 0.867-2.429). When group 2 (discordant low RLP-C) and group 3 (discordant high RLP-C) were compared with the two concordant groups (reference), CAD severity was significantly higher in group 3 (OR=2.084,95%CI 1.110-3.912). But not in group 2 (OR=0.958, 95%CI 0.473-1.939). In addition, RLP-C remained a strong predictor of the risk of severe coronary artery disease (OR=1.911, 95%CI 1.253-2.914) after multivariate logistic regression model adjustment. Conclusion In our study, it was found that about one third of patients had discordency between RLP-C and non-HDL-C, and the discordency between high RLP-C and low non-HDL-C in patients was related to the degree of coronary stenosis. It can be considered as a new risk factor for predicting severe coronary artery disease in CAD patients on the basis of traditional lipid indicators, independent of age, sex, and other risk factors.

  • 氯化胆碱对19~42周龄蛋鸡生产性能和蛋品质的影响

    Subjects: Biology >> Zoology submitted time 2017-10-11 Cooperative journals: 《动物营养学报》

    Abstract:本试验旨在研究饲粮添加氯化胆碱对19~42周龄蛋鸡生产性能和蛋品质的影响。选取990只18周龄京红1号蛋鸡,随机分为6组,每组12个重复,每个重复15只鸡,分别饲喂在基础饲粮中添加0、1 000、2 000、4 000、8 000和16 000 mg/kg氯化胆碱的试验饲粮。试验期24周。结果显示:1)19~42周龄,2 000、4 000、8 000和16 000 mg/kg组产蛋率显著低于0 mg/kg组(P0.05)。2)2 000 mg/kg组20、22周龄的蛋壳厚度显著高于0 mg/kg组(P<0.05),16 000 mg/kg组22、38周龄蛋壳强度显著低于0 mg/kg组(P<0.05)。16 000 mg/kg组26周龄蛋白高度和哈夫单位显著低于0 mg/kg组(P<0.05),8 000 mg/kg组22周龄哈夫单位显著高于0 mg/kg组(P<0.05)。20、21、22和38周龄,1 000、2 000、4 000、8 000和16 000 mg/kg组蛋黄颜色显著高于0 mg/kg组(P<0.05)。3)1 000、2 000、4 000、8 000和16 000 mg/kg组24周龄全蛋磷脂酰胆碱含量显著高于0 mg/kg组(P<0.05),16 000 mg/kg组27、38周龄全蛋磷脂酰胆碱含量显著高于0 mg/kg组(P<0.05)。16 000 mg/kg组38周龄蛋黄磷脂酰胆碱含量显著高于0 mg/kg组(P<0.05)。由此可见,饲粮添加适量氯化胆碱能提高蛋壳厚度、蛋壳强度、蛋黄颜色,适宜添加量为1 000 mg/kg。而饲粮添加高于1 000 mg/kg氯化胆碱能降低产蛋率;添加高于4 000 mg/kg氯化胆碱能降低蛋重和采食量。