Abstract 240: Serum Cholesterol and Angiotensin-Induced Abdominal Aortic Aneurysm in Hypercholesterolemic Mice

2013 ◽  
Vol 33 (suppl_1) ◽  
Author(s):  
Petra A Prins ◽  
Michael Hill ◽  
David Airey ◽  
Sam Nwosu ◽  
Prudhvidhar R Perati ◽  
...  
Keyword(s):  
Aortic Aneurysms ◽  
Cholesterol Concentration ◽  
Linear Mixed Effect Model ◽  
Hemodynamic Parameters ◽  
Mixed Effect ◽  
Regression Methods ◽  
Effect Model ◽  
Abdominal Aortic ◽  
And Control ◽  
The Relationship

Background Although hyperlipidemia is known to augment the incidence of abdominal aortic aneurysms (AAA) in the AngII-induced model of apolipoprotein E -/- mice, its relationship to AAA size is unknown. Therefore, we evaluated the relationship between total cholesterol concentration (TC) and change (delta) in aortic diameter. Methods TC was measured in 36 male mice that underwent a 4-week infusion period with saline (n=9) or AngII (1500 ng/kg/min; n=27), along with serial measurements of pulse rate (PR), and pulse (PP), mean arterial (MAP), systolic (SBP) and diastolic (DBP) pressure. A linear mixed effect model was used to assess the relationship between all hemodynamic parameters and delta. Nonparametric and linear regression methods were used to evaluate TC in relation to delta. Results TC did not differ between AngII and control mice (Figure, bottom left) (p=0.18). The burden of atherosclerosis was greater among AngII-exposed mice versus control, but did not differ by presence or size of AAA (Figure, bottom right). None of the hemodynamic parameters were predictive of delta (SBP, p = 0.66; DBP, p = 0.66; MAP, p = 0.55; PP, p = 0.66; and PR, p = 0.39). Mean TC was higher among mice with large versus small AAA (552.6 vs. 393.5 mg/ ml, p<0.05; Figure, top right). The nonparametric smoothing line (Figure, top left) suggests a first order relationship between delta and TC (p for trend < 0.001). AngII (ß = 0.48, p < 0.001) and TC (ß = 0.0015, p = 0.003) were independent predictors in the linear model for delta. Conclusions Our findings suggest that TC is incrementally associated with AAA size. These findings may have potential clinical relevance for risk assessment in AAA patients. Figure

scholarly journals Total Cholesterol Concentration Predicts the Effect of Plasmapheresis on Hypertriglyceridemic Acute Pancreatitis

2020 ◽  
Author(s):  
zhu chen ◽  
xiaolong Huang ◽  
na Han ◽  
Yanxia Guo ◽  
Jing Chen ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Total Cholesterol ◽  
Primary Outcome ◽  
Cholesterol Concentration ◽  
Linear Mixed Effect Model ◽  
Mixed Effect ◽  
Effect Model ◽  
Potential Biomarker ◽  
Relationship Of ◽  
The Relationship

Abstract Background The clinical efficacy of plasmapheresis (PP) in patients with hypertriglyceridemic acute pancreatitis (HLAP) might affected by total cholesterol (TC). The objective of this study is to determine the relationship of TC and the Triglyceride (TG)-lowing effect in patients on either non-PP or PP therapy.MethodsPatients were categorized into high total cholesterol (HTC) /low total cholesterol (LTC) groups based on TC level of 12.4 mmol/l. The primary outcome was TG reduction to below 500mg/dl within 48 hours. Linear mixed-effect model and logistic regression analyses were used to assess the association of TC and different therapy groups on TG-lowing efficacy.ResultsCompared with LTC group, patients with HTC showed more severe imaging manifestations(p<0.001) and higher APACH Ⅱ scores (p=0.036). Deaths occurred only in HTC groups. Significant interaction of time sequence with the 2 TGs-lowing therapy groups on TG level was only found in HTC group (p < 0.001). In patients with elevated TC level, primary outcome occurred in 66.67% of patients in the PP group, and 27.91% in the non-PP group. After adjustment for age, gender, CT grade and APACH II score, the odd ratio remain significant (OR 5.47, 95% confidence interval [CI] 1.84-16.25, p = 0.002). Furthermore, in patients with lower TC level, primary outcome occurred in 81.25% of patients in the PP group, and 62.30% in the non-PP group (adjusted OR 2.05; 95% CI 0.45–9.40; p = 0.353).Conclusions: TC could be a potential biomarker to predict the effects of TG-lowing therapy in patients with HLAP.

scholarly journals Total cholesterol concentration predicts the effect of plasmapheresis on hypertriglyceridemic acute pancreatitis: a retrospective case–control study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhu Chen ◽  
Xiaolong Huang ◽  
Na Han ◽  
Yanxia Guo ◽  
Jing Chen ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Total Cholesterol ◽  
Primary Outcome ◽  
Cholesterol Concentration ◽  
Linear Mixed Effect Model ◽  
Retrospective Case ◽  
Mixed Effect ◽  
Effect Model ◽  
Potential Biomarker ◽  
Significant Difference

Abstract Background What kind of patients with hypertriglyceridemic acute pancreatitis (HLAP) might benefit from plasmapheresis (PP) remains unknown. The objective of this study is to determine the predict function of total cholesterol (TC) on the Triglyceride (TG)-lowing effect in patients on either non-PP or PP therapy. Methods Patients were categorized into high total cholesterol (HTC)/low total cholesterol (LTC) groups based on TC level of 12.4 mmol/L. The primary outcome was TG reduction to below 500 mg/dL within 48 h. Linear mixed-effect model and logistic regression analyses were used to assess the association of TC level and TG-lowing efficacy in different therapy groups. Results Compared with LTC group, patients with HTC showed more severe imaging manifestations (p < 0.001) and higher APACH II scores (p = 0.036). Deaths occurred only in HTC groups. Significant interaction of time sequence with the 2 TGs-lowing therapy groups on TG level was only found in HTC group (p < 0.001). In patients with elevated TC level, primary outcome occurred in 66.67% of patients in the PP group, and 27.91% in the non-PP group. After adjustment for age, gender, CT grade and APACH II score, the odd ratio remain significant (OR 5.47, 95% confidence interval [CI] 1.84–16.25, p = 0.002). Furthermore, in patients with lower TC level, no significant difference was found in primary outcome between PP group and non-PP group (81.25% versus 62.30%, adjusted OR 2.05; 95% CI 0.45–9.40; p = 0.353). Conclusions TC could be a potential biomarker to predict the effects of TG-lowing therapy in patients with HLAP.

scholarly journals Exploring the relationship between avalanche hazard and run list terrain choices at a helicopter skiing operation

2019 ◽  
Vol 19 (9) ◽  
pp. 2011-2026 ◽  
Author(s):  
Reto Sterchi ◽  
Pascal Haegeli ◽  
Patrick Mair
Keyword(s):  
Selection Process ◽  
Decision Aids ◽  
Limited Attention ◽  
Linear Mixed Effect Model ◽  
Mixed Effect Model ◽  
Large Dataset ◽  
Mixed Effect ◽  
Avalanche Hazard ◽  
Effect Model ◽  
The Relationship

Abstract. While guides in mechanized skiing operations use a well-established terrain selection process to limit their exposure to avalanche hazard and keep the residual risk at an acceptable level, the relationship between the open/closed status of runs and environmental factors is complex and has so far only received limited attention from research. Using a large dataset of over 25 000 operational run list codes from a mechanized skiing operation, we applied a general linear mixed-effect model to explore the relationship between skiing terrain that is deemed appropriate for guiding (i.e., status open) and avalanche hazard conditions. Our results show that the magnitude of the effect of avalanche hazard on run list codes depends on the type of terrain that is being assessed by the guiding team. Ski runs in severe alpine terrain with steep lines through large avalanche slopes are much more susceptible to increases in avalanche hazard than less severe terrain. However, our results also highlight the strong effects of recent skiing on the run coding and thus the importance of prior first-hand experience. Expressing these relationships numerically provides an important step towards the development of meaningful decision aids, which can assist commercial operations to manage their avalanche risk more effectively and efficiently.

scholarly journals MegaLMM: Mega-scale linear mixed models for genomic predictions with thousands of traits

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Daniel E. Runcie ◽  
Jiayi Qu ◽  
Hao Cheng ◽  
Lorin Crawford
Keyword(s):  
Genomic Prediction ◽  
Large Scale ◽  
Mixed Model ◽  
Human Genetics ◽  
Linear Mixed Effect Model ◽  
Mixed Effect ◽  
Statistical Framework ◽  
Effect Model ◽  
Plant Data ◽  
Genetic Value

AbstractLarge-scale phenotype data can enhance the power of genomic prediction in plant and animal breeding, as well as human genetics. However, the statistical foundation of multi-trait genomic prediction is based on the multivariate linear mixed effect model, a tool notorious for its fragility when applied to more than a handful of traits. We present , a statistical framework and associated software package for mixed model analyses of a virtually unlimited number of traits. Using three examples with real plant data, we show that can leverage thousands of traits at once to significantly improve genetic value prediction accuracy.

scholarly journals Limited not lazy: a quasi-experimental secondary analysis of evidence quality evaluations by those who hold implausible beliefs

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Kristy A. Martire ◽  
Bethany Growns ◽  
Agnes S. Bali ◽  
Bronte Montgomery-Farrer ◽  
Stephanie Summersby ◽  
...  
Keyword(s):  
Secondary Analysis ◽  
Past Research ◽  
Linear Mixed Effect Model ◽  
High Quality ◽  
Mixed Effect ◽  
High Quality Evidence ◽  
Effect Model ◽  
Evidence Quality ◽  
Quasi Experimental ◽  
Quality Evidence

AbstractPast research suggests that an uncritical or ‘lazy’ style of evaluating evidence may play a role in the development and maintenance of implausible beliefs. We examine this possibility by using a quasi-experimental design to compare how low- and high-quality evidence is evaluated by those who do and do not endorse implausible claims. Seven studies conducted during 2019–2020 provided the data for this analysis (N = 746). Each of the seven primary studies presented participants with high- and/or low-quality evidence and measured implausible claim endorsement and evaluations of evidence persuasiveness (via credibility, value, and/or weight). A linear mixed-effect model was used to predict persuasiveness from the interaction between implausible claim endorsement and evidence quality. Our results showed that endorsers were significantly more persuaded by the evidence than non-endorsers, but both groups were significantly more persuaded by high-quality than low-quality evidence. The interaction between endorsement and evidence quality was not significant. These results suggest that the formation and maintenance of implausible beliefs by endorsers may result from less critical evidence evaluations rather than a failure to analyse. This is consistent with a limited rather than a lazy approach and suggests that interventions to develop analytical skill may be useful for minimising the effects of implausible claims.

scholarly journals Association between Anxiety Levels and Weight Change in the Multiethnic Study of Atherosclerosis

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Katherine Rieke ◽  
Ramon Durazo-Arvizu ◽  
Kiang Liu ◽  
Erin D. Michos ◽  
Amy Luke ◽  
...  
Keyword(s):  
Weight Change ◽  
Inclusion Criteria ◽  
Mixed Effect ◽  
Effect Model ◽  
Lower Baseline ◽  
Multiethnic Cohort ◽  
Baseline Weight ◽  
Study Population ◽  
The Relationship

Objective. To examine the association between anxiety and weight change in a multiethnic cohort followed for approximately 10 years.Methods. The study population consisted of participants of the multiethnic study of atherosclerosis who met specified inclusion criteria (n= 5,799). Weight was measured at baseline and four subsequent follow-up exams. Anxiety was analyzed as sex-specific anxiety quartiles (QANX). The relationship between anxiety level and weight change was examined using a mixed-effect model with weight as the dependent variable, anxiety and time as the independent variables, and adjusted for covariates.Results. Average annual weight change (range) was −0.17 kg (−6.04 to 4.38 kg) for QANX 1 (lowest anxiety), −0.16 kg (−10.71 to 4.45 kg) for QANX 2, −0.15 kg (−8.69 to 6.39 kg) for QANX 3, and −0.20 kg (−7.12 to 3.95 kg) for QANX 4 (highest anxiety). No significant association was noted between QANX and weight change. However, the highest QANX was associated with a −2.48 kg (95% CI = −3.65, −1.31) lower baseline weight compared to the lowest QANX after adjustment for all covariates.Conclusions. Among adults, age 45–84, higher levels of anxiety, defined by the STPI trait anxiety scale, are associated with lower average baseline weight but not with weight change.

scholarly journals Association of simple renal cysts and chronic kidney disease with large abdominal aortic aneurysm

2019 ◽  
Author(s):  
Milena Miszczuk ◽  
Verena Müller ◽  
Christian E. Althoff ◽  
Andrea Stroux ◽  
Daniela Widhalm ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Strong Association ◽  
Renal Cysts ◽  
Aortic Aneurysms ◽  
Control Group ◽  
Abdominal Aortic ◽  
And Control ◽  
Charité Berlin

AbstractAbdominal aortic aneurysms (AAA) primarily affect elderly men who often have many other diseases, with similar risk factors and pathobiological mechanisms to AAA. The aim of this study was to assess the prevalence of simple renal cysts (SRC), chronic kidney disease (CKD), and other kidney diseases (e.g. nephrolithiasis) among patients presenting with AAA. Two groups of patients (100/group), with and without AAA, from the Surgical Clinic Charité, Berlin, Germany, were selected for the study. The control group consisted of patients who were evaluated for a kidney donation (n = 14) and patients who were evaluated for an early detection of a melanoma recurrence (n = 86). The AAA and control groups were matched for age and sex. Medical records were analyzed and computed tomography scans were reviewed for the presence of SRC and nephrolithiasis. SRC (73% vs. 57%; p<0.001) and CKD (31% vs. 8%; p<0.001) were both more common among AAA than control group patients. On multivariate analysis, CKD, but not SRC, showed a strong association with AAA. Knowledge about pathobiological mechanisms and association between CKD and AAA could provide better diagnostic and therapeutic approaches for these patients.

To see or not to see: The roles of item properties and language knowledge in Chinese missing logographeme effect

2020 ◽  
Vol 41 (5) ◽  
pp. 1113-1139
Author(s):  
Xiuli Tong ◽  
Qinli Deng ◽  
Hélène Deacon ◽  
Jean Saint-Aubin ◽  
Suiping Wang
Keyword(s):  
Visual Complexity ◽  
Semantic Relatedness ◽  
Linear Mixed Effect Model ◽  
Mixed Effect ◽  
Effect Model ◽  
Bottom Position ◽  
Language Knowledge ◽  
Item Properties ◽  
The Right ◽  
Omission Rate

AbstractThis study examined how language knowledge and item properties (i.e., semantic relatedness and position) influenced Chinese missing logographeme effects. Eighty-four Chinese readers and 53 English readers were asked to search for the Chinese logographeme 口 while reading a Chinese prose passage. The target 口 appeared in five different positions (i.e., left, right, top, bottom, or inside), varying its degree of semantic relatedness to its embedded characters. The generalized linear mixed-effect model revealed a significant interaction between semantic relatedness and position in Chinese, but not in English, readers when visual complexity and frequency were controlled. For Chinese readers, a higher omission rate occurred when 口 appeared in the top and inside positions and exhibited low semantic relatedness with its embedded characters, whereas 口 was omitted more when it was positioned on the right and exhibited high semantic relatedness to its embedded characters. English readers exhibited a different omission pattern: 口 was omitted more when it appeared in the left or right position irrespective of semantic relatedness. In addition, 口 was omitted more in the inside, rather than the bottom, position. These findings suggest that the omission rate of the logographeme is determined by item properties at the sublexical level and the reader’s language knowledge.

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