scholarly journals Relation between monocyte/high density lipoprotein ratio in acute ischemic stroke severity

Author(s):  
Meghashri V. ◽  
Raveesha A. ◽  
Vishwanath R. ◽  
Prabhakar K.

Introduction: Stroke is a common neurological condition, with a high incidence of mortality and morbidity, especially in the elderly population. Inflammation and lipid abnormalities have been proposed for the pathophysiology development and progression of atherosclerosis. Monocyte count to High density lipoprotein (HDL) ratio (MHR) is proposed as a novel predictor of prognosis in cardiovascular diseases. In this study, we aim to investigate the relationship of MHR with stroke severity in acute ischemic stroke patients.Methods: A total of 64 patients with acute ischemic stroke were inpatients of RLJH were included in the study. Patients were divided into 2 groups according to the National institute of health stroke (NIHS) score (group 1; national institute of health stroke scale (NIHSS) <16, group 2; NIHSS ≥16). MHR is the ratio obtained by dividing the monocyte count with HDL from a peripheral blood sample. Then the association between MHR and NIHSS score at the time of admission is evaluated.Results: Accordingly, the results obtained revealed MHR was significantly lower in group 1 patients who have lower NIHSS score than group 2 patients who have higher NIHSS.Conclusion: This study suggests that MHR is associated with stroke severity on admission in patients with acute ischemic stroke.

2018 ◽  
Vol 121 (8) ◽  
pp. e103
Author(s):  
Onder Ozturk ◽  
Unal Ozturk ◽  
Sebnem Nergiz ◽  
Bernas Altıntaş ◽  
Erkan Baysal

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Rafeal L Baker ◽  
Jean N Utumatwishima ◽  
Stephanie T Chung ◽  
Anne E Sumner

Introduction: For Africans living in the United States, the extent to which stress-induced physiologic dysfunction varies by reason for immigration is unknown. Allostatic load score (ALS) is used to assess physiologic stress. ALS has biomarkers in 3 domains: cardiovascular, metabolic and immune. However, there are many ALS equations and the number of biomarkers in each domain varies. In the cardiac domain of ALS, equations use either triglyceride (TG) or high density lipoprotein (HDL). A specific problem for African descent populations is that HDL may be superior to TG as a marker of insulin resistance and cardiac risk. Objective: Our primary goal in 95 African immigrants (71% male, age 42±10, (mean±SD), range 22-62y) was to determine if ALS varied by reason for immigration. Our secondary goal was to evaluate 4 different ALS equations to determine if there was a difference in ALS performance depending on whether HDL or TG was the included biomarker. Methods and Results: For all 4 equations, the reasons for immigration from lowest to highest ALS were: family reunification, lottery for self and immediate family, marriage, asylum, work and study (Figure 1). As the first 3 reasons for immigration promoted family unity, they were grouped together (Group 1). The Africans who came for other reasons were grouped together (Group 2). Equations 1 and 2 included HDL as a biomarker. For these equations, ALS in Group 1 vs. Group 2 were: 1.7±1.3 vs. 2.8±1.7, P <0.01 and 1.4±1.2 vs. 2.3±1.7, P <0.01 resp. Equations 3 and 4 used TG. For these two equations ALS in Group 1 vs. Group 2 were: 2.2±1.6 vs. 2.9±2.0, P =0.08 and 2.1±1.4 vs. 2.9±2.0, P =0.03 resp. In Equations 1 and 2, when HDL was replaced by TG, the significant difference in ALS between groups declined. In Equations 3 and 4, when TG was replaced by HDL, the significant difference in ALS between groups increased. Conclusions: ALS varies by reason for immigration and is easier to detect in ALS equations which use HDL rather than TG.


Metabolism ◽  
2019 ◽  
Vol 98 ◽  
pp. 49-52 ◽  
Author(s):  
Konstantinos Tziomalos ◽  
Konstantina Katrini ◽  
Marianthi Papagianni ◽  
Konstantinos Christou ◽  
Christina Gkolfinopoulou ◽  
...  

2020 ◽  
Vol 27 (9) ◽  
pp. 959-968
Author(s):  
Hongbing Liu ◽  
Kai Liu ◽  
Lulu Pei ◽  
Yuan Gao ◽  
Lu Zhao ◽  
...  

Kardiologiia ◽  
2021 ◽  
Vol 61 (9) ◽  
pp. 61-65
Author(s):  
Cihan Aydın ◽  
Nadir Emlek

Background    High serum uric acid (UA) levels and low high-density lipoprotein cholesterol (HDL–C) levels are accepted as risk factors for cardiovascular mortality. Hyperuricemia and low HDL–C levels were associated with an increased risk of cardiovascular mortality and the development of diabetes and hypertension. However, the association of UA with cardiovascular (CV) mortality,collateral index are undetermined in patients with chronic total occlusion (CTO).Material and methods    124 patients who underwent coronary angiography with the diagnosis of stable or unstable angina pectoris and had chronic total occlusion were included in our study. Blood samples were collected from all patients before the angiography procedure. Coronary collateral circulation (CCC) was graded according to the Rentrop grading system of 0–3. Rentrop grades of 0 and 1 indicated low-grade CCC group, whereas grades 2 and 3 indicated high-grade CCC group. We divided our patients into two groups as low-grade CCC and high-grade CCC and examined these two groups in terms of uric acid / HDL ratios. Group 1: Rentrop classification grade 0–1 (mean age, 63,9±9,9), Group 2: Rentrop classification grade 2–3 (mean age, 62,1±9,4).Results    The baseline characteristics were similar in both groups. Uric acid / High density lipoprotein-cholesterol ratios and uric acid levels were higher in group 1 with poor collateral circulation [group 1; 0,21 (0,07–0,39) vs. group 2; 0,16 (0,08–0,31), group 1; 8,2 (3,4–10,4) vs. group 2; 5,85 (3,5–7,7), p<0,001, p<0,001 respectively].Conclusions    We found that high Uric acid / High-density lipoprotein-cholesterol ratios and high uric acid levels are associated with poor collateral circulation.


2009 ◽  
Vol 279 (1-2) ◽  
pp. 53-56 ◽  
Author(s):  
Andrew N. Russman ◽  
Lonni R. Schultz ◽  
Iram F. Zaman ◽  
Mohammed F. Rehman ◽  
Brian Silver ◽  
...  

Aging ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 2498-2506 ◽  
Author(s):  
Yanan Wang ◽  
Yajun Cheng ◽  
Quhong Song ◽  
Chenchen Wei ◽  
Junfeng Liu ◽  
...  

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