Burbot: Ecology, Management, and Culture

2008 ◽  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Life History ◽  
Consistent Pattern ◽  
Lota Lota ◽  
Seasonal Movements ◽  
Life History Patterns ◽  
Kootenay Lake ◽  
Kootenai River

Abstract.—Movements of 11 sonic tagged burbot <em>Lota lota </em>were examined in the Kootenai River, Idaho, USA and Kootenay River and Kootenay Lake, British Columbia, Canada through up to three spawning seasons. Our objectives were to determine seasonal movements, differences in behavior of individual burbot, and the role of temperature and discharge on prespawn movement. Burbot demonstrated multiple movement patterns: 3 burbot were very mobile, 3 appeared to be intermediate in activity, and 5 were sedentary in summer, while 2 of the 11 entered Kootenay Lake and returned to the river. Most burbot began in autumn what may have been prespawn migrations when river temperatures fell to a range of 3.0–4.9°C. Six burbot entered the Goat River during the spawning season, of which five showed a multiple-year pattern of fidelity, and four returned to an apparent home pool and then exhibited sedentary behavior until the following winter. Three of the 11 burbot demonstrated an apparent nonspawning or rest year, but this was thought to be habitat-related. Logistic regression analysis of three of the six fish entering the Goat River suggested their migration to be best correlated to decreasing temperature and discharge. If the logistic model were representative of the population, then predicted migrations of burbot to the Goat River during winter would have followed a consistent pattern in November preLibby Dam, while postLibby Dam showed migrations to be unpredictable. Results of this study suggest that burbot had multiple life history patterns and several spawning locations and that rehabilitation measures should promote cooler winter water temperatures less than 5°C and discharges less than 300 m<sup>3</sup>/s.

Role of social performance in predicting learning problems: Prediction of risk using logistic regression analysis

2012 ◽  
Vol 33 (6) ◽  
pp. 615-630 ◽  
Author(s):  
Zilda Aparecida Pereira Del Prette ◽  
Almir Del Prette ◽  
Lael Almeida De Oliveira ◽  
Frank M. Gresham ◽  
Michael J. Vance
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Social Performance ◽  
Learning Problems

scholarly journals Circulating miR-30d Predicts Survival in Patients with Acute Heart Failure

2017 ◽  
Vol 41 (3) ◽  
pp. 865-874 ◽  
Author(s):  
Junjie Xiao ◽  
Rongrong Gao ◽  
Yihua Bei ◽  
Qiulian Zhou ◽  
Yanli Zhou ◽  
...  
Keyword(s):  
Heart Failure ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Univariate Logistic Regression Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Background/Aims: Identification of novel biomarkers to identify acute heart failure (AHF) patients at high risk of mortality is an area of unmet clinical need. Recently, we reported that the baseline level of circulating miR-30d was associated with left ventricular remodeling in response to cardiac resynchronization therapy in advanced chronic heart failure patients. However, the role of circulating miR-30d as a prognostic marker of survival in patients with AHF has not been explored. Methods: Patients clinically diagnosed with AHF were enrolled and followed up for 1 year. Quantitative reverse transcription polymerase chain reactions were used to determine serum miR-30d levels. The univariate logistic regression analysis and multivariate logistic regression analysis were used to determine the predictors for all-cause mortality in AHF patients. Kaplan–Meier survival analysis was used to analyze the role of miR-30d in prediction of survival. Results: A total of 96 AHF patients were enrolled and followed up for 1 year. Serum miR-30d was significantly lower in AHF patients who expired in the one year follow-up period compared to those who survived. Univariate logistic regression analysis yielded 18 variables that were associated with all-cause mortality in AHF patients, while the multivariate logistic regression analysis identified 4 variables including heart rate, hemoglobin, serum sodium, and serum miR-30d level associated with mortality. ROC curve analysis showed that hemoglobin, heart rate and serum sodium displayed poor prognostic value for AHF (AUCs not higher than 0.700) compared to miR-30d level (AUC = 0.806). Kaplan–Meier survival analysis confirmed that patients with higher serum miR-30d levels had significantly lower mortality (P=0.001). Conclusion: In conclusion, this study shows evidence for the predictive value of circulating miR-30d as 1-year all-cause mortality in AHF patients. Large multicentre studies are further needed to validate our findings and accelerate the transition to clinical utilization.

scholarly journals Role of clinical and biochemical inflammation in structural progression of patients with psoriatic arthritis

RMD Open ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. e002038
Author(s):  
Carina Borst ◽  
Farideh Alasti ◽  
Josef S Smolen ◽  
Daniel Aletaha
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Psoriatic Arthritis ◽  
Radiographic Progression ◽  
Controlled Trial ◽  
The Other ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Structural Progression

ObjectiveTo determine the contribution of clinical and biochemical inflammation to structural progression of patients with psoriatic arthritis (PsA).MethodsWe analysed patients from the Infliximab Multinational Psoriatic Arthritis Controlled Trial 2 trial (infliximab vs placebo). We obtained total modified Sharp/van-der-Heijde Scores from baseline and year one images, and swollen joint counts (SJC) and levels of C reactive protein (CRP) throughout the second half of year 1 (5 measurements) from 74 placebo-treated patients. We computed radiographic progression, time-averaged SJC (taSJC) and CRP (taCRP) values and assessed their impact on structural progression by logistic regression analysis. We further categorised patients as ‘active’ (+) or ‘inactive’ (−) based on their taSJC (cut-off point: 2/66 joints) and taCRP (cut-off point: 0.5 mg/dL) and compared radiographic progression across three groups (double inactive, single active, double active).ResultsORs for progression were 1.24 (95 % CI 1.04 to 1.47; p=0.016) for taSJC and 6.08 (95 % CI 1.12 to 33.03; p=0.036) for taCRP. When predictors were dichotomised (+ vs −), differences were maintained between taSJC+ and taSJC− patients (1.05±3.21 and 0.56±2.30, respectively), as well as for taCRP+ vs taCRP− patients (1.14±3.23 and 0.05±2.37, respectively). Progression was intermediate in the presence of abnormalities of one but not the other inflammatory variable, indicating increasing radiographic progression with increasing inflammation (p=0.05).ConclusionIn patients with PsA, both clinical and biochemical inflammation have an impact on structural progression. Overall, progression is smallest in the absence of both clinical and biochemical inflammation, higher when either clinical or biochemical inflammation is present and highest with both clinical and biochemical inflammation.

scholarly journals Serum Irisin Predicts Mortality Risk in Acute Heart Failure Patients

2017 ◽  
Vol 42 (2) ◽  
pp. 615-622 ◽  
Author(s):  
Shutong Shen ◽  
Rongrong Gao ◽  
Yihua Bei ◽  
Jin Li ◽  
Haifeng Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Curve Analysis ◽  
Multivariate Logistic Regression ◽  
Roc Curve Analysis ◽  
Kaplan Meier ◽  
All Cause Mortality

Background/Aims: Irisin is a peptide hormone cleaved from a plasma membrane protein fibronectin type III domain containing protein 5 (FNDC5). Emerging studies have indicated association between serum irisin and many major chronic diseases including cardiovascular diseases. However, the role of serum irisin as a predictor for mortality risk in acute heart failure (AHF) patients is not clear. Methods: AHF patients were enrolled and serum was collected at the admission and all patients were followed up for 1 year. Enzyme-linked immunosorbent assay was used to measure serum irisin levels. To explore predictors for AHF mortality, the univariate and multivariate logistic regression analysis, and receiver-operator characteristic (ROC) curve analysis were used. To determine the role of serum irisin levels in predicting survival, Kaplan-Meier survival analysis was used. Results: In this study, 161 AHF patients were enrolled and serum irisin level was found to be significantly higher in patients deceased in 1-year follow-up. The univariate logistic regression analysis identified 18 variables associated with all-cause mortality in AHF patients, while the multivariate logistic regression analysis identified 2 variables namely blood urea nitrogen and serum irisin. ROC curve analysis indicated that blood urea nitrogen and the most commonly used biomarker, NT-pro-BNP, displayed poor prognostic value for AHF (AUCs ≤ 0.700) compared to serum irisin (AUC = 0.753). Kaplan-Meier survival analysis demonstrated that AHF patients with higher serum irisin had significantly higher mortality (P<0.001). Conclusion: Collectively, our study identified serum irisin as a predictive biomarker for 1-year all-cause mortality in AHF patients though large multicenter studies are highly needed.

Social isolation in individuals aged 50+: what is the role of the internet? (Preprint)

2020 ◽  
Author(s):  
Patrícia Silva ◽  
Alice Delerue Matos ◽  
Roberto Martinez-Pecino
Keyword(s):  
Quality Of Life ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Social Isolation ◽  
Negative Impact ◽  
Health Determinants ◽  
The Internet ◽  
Internet Users

UNSTRUCTURED Social isolation has a negative impact on the quality of life of older people, which is why studies have focussed on identifying its sociodemographic, economic and health determinants. In view of the growing importance of the internet as a means of communication, it is important to examine the extent to which this technology also contributes to social isolation or, conversely, counters it. This study specifically aims to clarify this relationship for which other surveys present contradictory results. The current research uses a logistic regression analysis and a sample of 66,998 individuals aged 50+ from 17 European countries (Portugal, Greece, Italy, Spain, Denmark, Sweden, Austria, Belgium, France, Germany, Switzerland, Luxemburg, Poland, Czech Republic; Slovenia, Estonia, and Croatia) plus Israel, who were interviewed in SHARE (Survey of Health, Ageing and Retirement in Europe)- wave 6. The results show that countries differ in the level of social isolation and rate of internet use by individuals aged 50+. They also point to a lower social isolation of the internet users when compared to the non-users, in most of the countries analyzed, after controlling for a set of socio-demographic, economic and health characteristics of the individuals, described in the literature as determinants of social isolation. The results underline the importance of promoting e-inclusion in Europe as a way to deal with social isolation.

scholarly journals Smoking Cessation Intention and Its Association with Advice to Quit from Significant Others and Medical Professionals

2021 ◽  
Vol 18 (6) ◽  
pp. 2899
Author(s):  
Jun Hyun Hwang ◽  
Soon-Woo Park
Keyword(s):  
Smoking Cessation ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Significant Others ◽  
Intention To Quit ◽  
Medical Professionals ◽  
Multiple Logistic Regression ◽  
Quit Smoking

Few studies have simultaneously considered the effects of significant others and medical professionals’ advice to quit smoking on smoking cessation intention. The present study involved 3841 current adult Korean smokers, divided into four groups with an intention to quit within 1 month, within 6 months, someday, and without intention to quit. Multinomial multiple logistic regression analysis was conducted according to smoking cessation intention level, adjusted for potential confounders, including past smoking cessation attempts. Smokers who had been advised to quit smoking by both significant others and medical professionals, significant others only, and medical professionals only were 2.63 (95% confidence interval (CI): 1.62–4.29), 1.84 (95% CI: 1.17–2.89), and 1.44 (95% CI: 0.70–2.94) times more likely to intend to quit within 1 month, respectively, than those who were not advised to quit. The odds ratios of an intention to quit within 6 months were 2.91 (95% CI: 1.87–4.54), 2.49 (95% CI: 1.69–3.68), and 0.94 (95% CI: 0.44–2.05), respectively. To promote smokers’ intention to quit, the role of significant others should be considered. Medical professionals’ advice to quit smoking remains important, increasing the effects of significant others’ advice.

An efficient algorithm based on electrograms characteristics to identify ventricular tachycardia isthmus entrance in post-infarct patients

EP Europace ◽  
2019 ◽  
Author(s):  
Alberto Battaglia ◽  
Freddy Odille ◽  
Isabelle Magnin-Poull ◽  
Jean-Marc Sellal ◽  
Philip Hoyland ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ventricular Tachycardia ◽  
Catheter Ablation ◽  
Predictive Value ◽  
Area Under The Curve ◽  
Limited Data ◽  
Recording Site ◽  
Bipolar Voltage

Abstract Aims Our study assesses the value of electrograms (EGMs) characteristics to identify a ventricular tachycardia (VT) isthmus entrance in patients with post-infarct VT. Post-infarct VTs are mostly due to a re-entrant circuit. A pacemapping (PM) approach is able to localize the VT isthmus during sinus rhythm. Limited data are available about the role of local EGMs in defining VT isthmus location. Methods and results Twenty consecutive patients (70% male) referred for post-infarct VT catheter ablation were included in the present study. The VT isthmus was defined according to the PM method. At each recording site, 10 characteristics of the local EGM were assessed to predict the location of the VT isthmus entrance. In total, 924 EGMs were acquired, of which 127 were located in the VT isthmus entrance. Logistic regression analysis showed that bipolar voltage, number of EGM positive peaks, and sQRS interval were independently associated with VT isthmus entrance location. The ROC curve best fitted the model at the cut-off 0.1641 (sensitivity 72%, specificity 75.2%, positive predictive value 31.3%, negative predictive value 94.4%, area under the curve 0.78, P < 0.001). Based upon these results, we developed an algorithm implemented in an automatic calculator to determine the likelihood that an EGM is located at a VT isthmus entrance. Conclusion Our study suggests that three EGM characteristics: bipolar voltage, number of positive peaks, and sQRS interval can successfully identify a VT isthmus entrance in post-infarct patients.

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