The Impact of ESG Risk Score on Holding Period Return

2021 ◽  
Author(s):  
Qiubei Li
Keyword(s):  
Risk Score ◽  
Holding Period ◽  
The Impact ◽  
Period Return

scholarly journals Relative contributions of family history and a polygenic risk score on COPD and related outcomes: COPDGene and ECLIPSE studies

2020 ◽  
Vol 7 (1) ◽  
pp. e000755
Author(s):  
Matthew Moll ◽  
Sharon M. Lutz ◽  
Auyon J. Ghosh ◽  
Phuwanat Sakornsakolpat ◽  
Craig P. Hersh ◽  
...  
Keyword(s):  
Family History ◽  
Risk Score ◽  
Characteristic Curve ◽  
Significant Proportion ◽  
Chronic Obstructive ◽  
Polygenic Risk Score ◽  
Positive Interaction ◽  
Polygenic Risk ◽  
Mediation Analyses ◽  
The Impact

IntroductionFamily history is a risk factor for chronic obstructive pulmonary disease (COPD). We previously developed a COPD risk score from genome-wide genetic markers (Polygenic Risk Score, PRS). Whether the PRS and family history provide complementary or redundant information for predicting COPD and related outcomes is unknown.MethodsWe assessed the predictive capacity of family history and PRS on COPD and COPD-related outcomes in non-Hispanic white (NHW) and African American (AA) subjects from COPDGene and ECLIPSE studies. We also performed interaction and mediation analyses.ResultsIn COPDGene, family history and PRS were significantly associated with COPD in a single model (PFamHx <0.0001; PPRS<0.0001). Similar trends were seen in ECLIPSE. The area under the receiver operator characteristic curve for a model containing family history and PRS was significantly higher than a model with PRS (p=0.00035) in NHWs and a model with family history (p<0.0001) alone in NHWs and AAs. Both family history and PRS were significantly associated with measures of quantitative emphysema and airway thickness. There was a weakly positive interaction between family history and the PRS under the additive, but not multiplicative scale in NHWs (relative excess risk due to interaction=0.48, p=0.04). Mediation analyses found that a significant proportion of the effect of family history on COPD was mediated through PRS in NHWs (16.5%, 95% CI 9.4% to 24.3%), but not AAs.ConclusionFamily history and the PRS provide complementary information for predicting COPD and related outcomes. Future studies can address the impact of obtaining both measures in clinical practice.

scholarly journals Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes

2021 ◽  
Vol 12 ◽  
pp. 215013272110185
Author(s):  
Sanjeev Nanda ◽  
Audry S. Chacin Suarez ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Hospital Admission ◽  
Body Mass ◽  
Risk Score ◽  
The Body ◽  
Risk Scores ◽  
Nasopharyngeal Swab ◽  
Morbidity Score ◽  
The Impact

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.

Genetic addiction risk score analysis: hypodopaminergic polymorphic risk alleles in polydrug addicted males and meso-limbic dopaminergic agonistic activation by neuroadaptagen amino-acid therapy

2011 ◽  
Vol 26 (S2) ◽  
pp. 803-803
Author(s):  
K. Blum ◽  
E. Stice ◽  
Y. Liu ◽  
J. Giordano ◽  
S. Morse ◽  
...  
Keyword(s):  
Amino Acid ◽  
Risk Score ◽  
D2 Receptor ◽  
Controlled Study ◽  
Double Blind ◽  
Heroin Addicts ◽  
Acid Therapy ◽  
Risk Alleles ◽  
Addiction Risk ◽  
The Impact

IntroductionThere is a need to classify patients at genetic risk for drug seeking behavior prior to or upon entry to chemical dependency programs.MethodsThe prevalence of seven risk alleles (DRD2 = A1; SLC6A3 (DAT) = 10R; DRD4 = 3R or 7R; 5HTTLPR = L or LA; MAO = 3R; COMT = G) and corresponding severity risk score (Low (LS) = 1–36%, moderate (MS) = 37–50%, and high (HS) = 51–100%) were calculated. Group 1 consisted of 16 Caucasian male psycho-stimulant addicts, and Group 2 consisted of 10 Chinese male heroin addicts (9 were genotyped). qEEG and fMRI visualized the impact of Neuroadaptagen Amino-Acid Therapy complex on mesolimbic system activation.Results[Findings by Group]74% of the combined groups had a moderate to high genetic addiction risk score (GARS). One acute dose of KB220-IV variant in heroin addicts having brain abnormalities was found to normalize qEEG. Additionally, a randomized double-blind placebo controlled study involving oral KB220-Z variant established qEEG normalization of reward circuitry in abstinent psycho-stimulant abusers (P < 0.03).ConclusionsWe cautiously suggest that long-term activation of dopaminergic receptors will lead to D2 receptor proliferation and enhanced “dopamine sensitivity,” thus reducing aberrant craving behavior especially in carriers of the DRD2 A1 allele. Although supported by 20 clinical trials, KB220-Z awaits PET scanning to determine its chronic effects on D2 receptor numbers.

scholarly journals The impact of Working Capital Management on shareholders’ wealth and profitability: evidence from Colombo Stock Exchange

2018 ◽  
Vol 15 (2) ◽  
pp. 104-115
Author(s):  
Wasantha Perera ◽  
Pradeep Priyashantha
Keyword(s):  
Firm Size ◽  
Regression Models ◽  
Stock Exchange ◽  
Negative Relationship ◽  
Least Square ◽  
Capital Management ◽  
Working Capital ◽  
Working Capital Management ◽  
Holding Period ◽  
The Impact

The Working Capital Management (WCM) has an important role for the firm’s success or failure, because it directly affects the overall business health of the firm. This study examined the impact of WCM on profitability and shareholders’ wealth using 50 companies listed in different sectors on the Colombo Stock Exchange (CSE) for the period from 2010 to 2015. This sample represents 47% of the selected sectors of CSE. The profitability of the company is measured using gross operating profit (GOP) and shareholders wealth measured by Tobin’s Q (TQ) ratio. The WCM is measured using five independent variables namely stock holding period (SHP), debtors’ collection period (DCP), creditors’ settlement period (CSP), cash conversion circle (CCC) and current assets ratio (CAR). Further, three additional variables such as firm size (SIZE), leverage (LEV) and earning yield (EY) are employed as controlling variables to capture the impact of other performance of the companies.The data were analyzed using ordinary least square (OLS) and panel data regression models. These regression models reveal that there is a significant negative relationship between CCC and dependent variables (GOP &amp;amp; TQ). Further, this relationship has been confirmed by the major components of CCC such as SHP, DCP. Firm size also positively and significantly effects on the firm GOP while negatively effects on the TQ. Further, they revealed that there is a significant positive relationship between LEV and TQ. The study finds that the shareholders’ wealth and profitability can be increased through the efficiency of WCM.

scholarly journals Users’ perceptions about receiving personalized depression risk information: findings from a qualitative study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Heidi Eccles ◽  
Doaa Nadouri ◽  
Molly Nannarone ◽  
Bonnie Lashewicz ◽  
Norbert Schmitz ◽  
...  
Keyword(s):  
Mental Health ◽  
Qualitative Study ◽  
Risk Communication ◽  
Risk Score ◽  
Controlled Trial ◽  
Qualitative Interviews ◽  
Risk Information ◽  
Depression Risk ◽  
Communication Program ◽  
The Impact

Abstract Objectives To understand users’ perceptions about receiving their personalized depression risk score and to gain an understanding about how to improve the efficiency of risk communication from the user perspective. Methods A qualitative study embedded in a randomized controlled trial (RCT) on evaluating the impact of providing personalized depression risk information on psychological harms and benefits. The participants (20 males and 20 females) were randomly selected from the intervention arm of the RCT after the 12-month assessment. The qualitative interviews were conducted through telephone, audio recorded and transcribed verbatim. We conducted a content analysis to describe the content and contextual meaning of data collected from participants. Results The first theme explained the motivation for receiving a risk score. Most participants chose to receive their personalised depression risk score with the goal of improving their self-awareness. The results revealed three sub-themes surrounding perceptions and implication of receiving their risk score: positive, negative, and neutral. Most participants found that receiving their score was positive because it improved their awareness of their mental health, but some participants could see that some people would have negative feelings when getting the score causing them to be more likely to get depression. The final theme focussed on improvements including: the best delivery methods, having resources and strategies, and targeting younger people. Conclusion The most significant motivation for, and benefit of receiving one’s personalized depression risk score was improved awareness of one’s mental health. A comprehensive risk communication program may improve the uptake and maximize the impact on behavior changes and risk reduction.

Abstract MP01: Association of Objectively-measured Physical Activity with Cardiovascular Risk in Mobility-limited Older Adults

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Thomas W Buford ◽  
Don G Hire ◽  
Walter T Ambrosius ◽  
Stephen D Anton ◽  
Timothy S Church ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Risk Score ◽  
Activity Data ◽  
Mean Intensity ◽  
Wear Time ◽  
Low Intensity ◽  
Objectively Measured ◽  
The Impact

Introduction: In middle-aged adults, time spent being sedentary is associated with cardiovascular (CV) health risks independent of structured physical activity (PA). However, data are sparse regarding the impact of sedentary behavior on CV risk in older adults. The extent to which the absolute duration or intensity of daily PA reduces CV risk in older adults is also unknown. Objectives: Our objective was to examine the cross-sectional association between objectively-measured sedentary behavior and predicted CV risk among older adults in the Lifestyle Interventions and Independence for Elders (LIFE) study. The secondary objective was to evaluate associations between the duration/intensity of daily PA and predicted CV risk. Methods: LIFE is a randomized clinical trial to determine if regular PA prevents mobility disability among mobility-limited older adults. Activity data were collected by hip-worn accelerometer at baseline prior to participation in study interventions. Only participants with at least three days of accelerometry data (≥ 10 hrs wear time) were included. Unadjusted and adjusted linear regression was used to model the relationship between accelerometry measures and predicted 10-year Framingham risk of Hard Coronary Heart Disease (HCHD; i.e. myocardial infarction or coronary death). Adjusted models included demographic confounders (e.g. education, race, income) and health parameters (e.g. depression, cognition, arthritis) not in the risk score. Accelerometry cut-points were (in counts/min): sedentary behavior: < 100; low-intensity activity: 100-499; higher intensity activity: > 500. Results: Participants (n = 1170; 78.7 ± [SD] 5.3 years; 66.1% female) had a median HCHD risk of 10.3% (25 th -75 th %: 5.7-18.6). Over a mean accelerometer wear time of 8.1 ± 3.2 days, participants spent 77.0 ± 8.2% of their time sedentary. They also spent 16.6 ± 5.0% of their time in low-intensity PA and 6.4 ± 4.4% in higher-intensity PA. For all PA performed (> 100 counts/min), participants achieved a median of 393.4 (337.8-473.5) counts/min. In the unadjusted model, time spent sedentary (β = 2.41; 95% CI : 1.94, 2.89), in low-intensity PA (-2.56; -3.03, -2.08), and in higher-intensity PA (-1.60; -2.09, -1.11) were all associated with HCHD risk (all p’s < 0.001). These associations remained significant after adjustment. The mean intensity of daily PA was not significantly associated with HCHD risk in any model (p > 0.05). Conclusions: Daily time spent being sedentary is positively associated with predicted 10-year HCHD risk among mobility-limited older adults. Duration, but not mean intensity, of daily PA is inversely associated with HCHD risk score in this population.

Abstract 14206: Assessing a Clinical Risk Score and the Impact of Race in Breast Cancer Patients at Risk of Cardiotoxicity

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Zachary Brumberger ◽  
Mary Branch ◽  
Joseph Rigdon ◽  
Suji Vasu
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Risk Score ◽  
Significant Risk ◽  
Statistical Characteristics ◽  
Risk Scores ◽  
Clinical Risk Score ◽  
Breast Cancer Patients ◽  
Clinical Risk ◽  
The Impact

Introduction: Cardiotoxicity is a well-known risk in breast cancer patients treated with anthracyclines and trastuzumab. Ezaz et al. developed a clinical risk score (CRS) to risk stratify these patients. Despite evidence that African American (AA) race is a significant risk factor for cardiotoxicity, no study has assessed the impact of AA race on this CRS. Here we assess the discrimination ability of the Ezaz et al. CRS with the addition of AA race. Methods: This is a retrospective cohort utilizing a registry of 118 patients with stage I-IV breast cancer treated with anthracyclines and/or trastuzumab. Patients without baseline echocardiography data or with baseline LVEF < 50% were excluded. The CRS from Ezaz et al. consisting of age, adjuvant chemotherapy, coronary artery disease, atrial fibrillation or flutter, diabetes mellitus, hypertension, and renal failure was calculated with the addition of AA race. Cardiotoxicity was defined by an LVEF decline of ≥ 10% to LVEF < 53% from baseline. Results: In our 118 patient cohort, the mean age was 59 years, 23 (20%) AA patients, 65 (55%) patients considered low risk (scores of 0-3) and 53 (45%) considered moderate to high risk (scores ≥4). After a follow up of 3 months to 5 years, 14 (12%) patients developed cardiotoxicity. Table 1 lists the CRS changes in statistical characteristics and predictability with the addition of AA race. In comparing the models, the AUC c-statistic increased from 0.609 to 0.642 (95% CI 0.47-0.75, 95% CI 0.49-0.79 respectively; P value = 0.56) with the addition of AA race ( Figure 1 ). Conclusions: In this study, the Ezaz et al. CRS demonstrated improved discrimination and sensitivity with the addition of AA race. This study suggests AA race improves the predictive ability of the Ezaz et al. CRS. Given the limited size of our study, we promote that this should be hypothesis-driving and encourage further investigation on the path to develop an important risk stratification tool.

Abstract 153: Novel Machine Learning Proves Stroke Risk is Not Linear

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Agni Orfanoudaki ◽  
Amre M Nouh ◽  
Emma Chesley ◽  
Christian Cadisch ◽  
Barry Stein ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Risk Score ◽  
Stroke Risk ◽  
Assessment Tools ◽  
Risk Calculator ◽  
Stroke Incidence ◽  
Non Linear ◽  
User Friendly ◽  
The Impact

Background: Current stroke risk assessment tools presume the impact of risk factors is linear and cumulative. However, both novel risk factors and their interplay influencing stroke incidence are difficult to reveal using traditional linear models. Objective: To improve upon the Revised-Framingham Stroke Risk Score and design an interactive non-linear Stroke Risk Score (NSRS). Our work aimed at increasing the accuracy of event prediction and uncovering new relationships in an interpretable user-friendly fashion. Methods: A two phase approach was used to develop our stroke risk score predictor. First, clinical examinations of the Framingham offspring cohort were utilized as the training dataset for the predictive model consisting of 14,196 samples where each clinical examination was considered an independent observation. Optimal Classification Trees (OCT) were used to train a model to predict 10-year stroke risk. Second, this model was validated with 17,527 observations from the Boston Medical Center. The NSRS was developed into an online user friendly application in the form of a questionnaire (http://www.mit.edu/~agniorf/files/questionnaire_Cohort2.html). Results: The algorithm suggests a key dichotomy between patients with or without history of cardiovascular disease. While the model agrees with known findings, it also identified 23 unique stroke risk profiles and introduced new non-linear relationships; such as the role of T-wave abnormality on electrocardiography and hematocrit levels in a patient’s risk profile. Our results in both the training and validation populations suggested that the non-linear approach significantly improves upon the existing revised Framingham stroke risk calculator in the c-statistic (training 87.43% (CI 0.85-0.90) vs. 73.74% (CI 0.70-0.76); validation 75.29% (CI 0.74-0.76) vs 65.93% (CI 0.64-0.67), even in multi-ethnicity populations. Conclusions: We constructed a highly predictive, interpretable and user-friendly stroke risk calculator using novel machine-learning uncovering new risk factors, interactions and unique profiles. The clinical implications include prioritization of risk factor modification and personalized care improving targeted intervention for stroke prevention.

Accrual management and the decision to sell or hold shares acquired from the exercise of employee stock options

2020 ◽  
pp. 0000-0000
Author(s):  
Thomas Smith ◽  
G. Ryan Huston ◽  
Richard M. Morton
Keyword(s):  
Stock Option ◽  
Employee Stock Options ◽  
Short Term ◽  
Post Exercise ◽  
Employee Stock Option ◽  
Holding Period ◽  
Before And After ◽  
Accrual Management ◽  
The Impact

This study extends the employee stock option literature by examining the impact of accrual management, before and after stock option exercise, on the timing of sales of shares acquired at exercise. We find evidence that accrual management prior to exercise is positively associated with the decision to quickly sell shares after exercise, facilitating a short-term exercise-and-sell strategy. Alternatively, we find that, among executives initially choosing to hold at exercise, tax incentives appear to drive both post-exercise accrual management and the timing of sale transactions. Specifically, our results suggest that executives use income-increasing accruals during the holding period to bolster their stock option gains sand then sell immediately after satisfying the minimum (twelve month) holding period for long-term capital gain treatment. These results provide context for prior research that found evidence of earnings management leading up to option exercise on the expectation of an immediate sale.

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