Association of weight change with telotristat ethyl in the treatment of carcinoid syndrome.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15692-e15692
Author(s):  
Martin O Weickert ◽  
Gregory Kaltsas ◽  
Dieter Hörsch ◽  
Pablo Lapuerta ◽  
Marianne Pavel ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Carcinoid Syndrome ◽  
Tryptophan Hydroxylase ◽  
Performance Status ◽  
Statistical Analysis Plan ◽  
Weight Changes ◽  
Double Blind ◽  
And Performance

e15692 Background: In the Phase 3 TELESTAR study, the oral tryptophan hydroxylase inhibitor telotristat ethyl (TE) significantly reduced bowel movement (BM) frequency compared with placebo (pbo) over a 12-week Double-blind Treatment (DBT) period in patients with carcinoid syndrome (CS). Weight loss has previously been associated with uncontrolled CS and may result in reduced survival, so it is important to examine weight changes in patients with neuroendocrine tumors (NETs). Methods: We conducted an analysis, prespecified in the statistical analysis plan, of the incidence of weight change of ≥3% at Week 12 in TELESTAR. Patients with metastatic NETs, CS, and ≥4 BMs per day were randomly assigned to receive pbo, TE 250 mg 3x/day (tid), or TE 500 mg tid for 12 weeks, in addition to somatostatin analog therapy. Results: There were 45 patients in each group. Mean baseline age was 63.5 years, with 5.8 BMs/day and mean body mass index 24.87 kg/m2. Weight gain ≥3% at Week 12 was observed in 2/39 (5.1%), 7/41 (17.1%), and 13/40 (32.5%) patients on pbo, TE 250 tid, and TE 500 mg tid, respectively. The Cochrane–Armitage test for trend in weight gain incidence across groups yielded p = 0.0017. Among the 20 patients with a ≥3% weight gain on TE, 10 patients experienced a reduction of at least 30% in BM frequency at Week 12 (maximum reduction 75%). Weight loss ≥3% at Week 12 was observed in 5 (12.8%), 4 (9.8%), and 6 (15.0%) patients on pbo, TE 250 tid, and TE 500 mg tid. Adverse events of vomiting, decreased appetite, cachexia, and performance status decreased were reported during the DBT period among those with weight loss but not those with weight gain. Conclusions: The incidence of weight gain was dose-related on TE and was greater than that on pbo. It was possibly related to a reduction in diarrhea severity, and it may be a relevant aspect of TE efficacy among patients with functioning metastatic NETs. Clinical trial information: NCT01677910.

Weight gain as a prognostic indicator of therapeutic improvement during acute treatment of schizophrenia with placebo or active antipsychotic

2005 ◽  
Vol 19 (6_suppl) ◽  
pp. 110-117 ◽  
Author(s):  
Haya Ascher-Svanum ◽  
Michael D. Stensland ◽  
Bruce J. Kinon ◽  
Gary D. Tollefson
Keyword(s):  
Weight Gain ◽  
Weight Change ◽  
Acute Treatment ◽  
Prognostic Indicator ◽  
Effect Sizes ◽  
Antipsychotic Treatment ◽  
Double Blind Trial ◽  
Weight Changes ◽  
Double Blind ◽  
Important Marker

Treatment-emergent weight gain may be a general marker of therapeutic improvement, even when improvements occur in the absence of active antipsychotic treatment. To investigate the association between treatment-emergent weight gain and therapeutic improvement across placebo and active treatments, and to examine the association between reported treatment-emergent weight changes and the treatments’ reported efficacy. Data from a randomized, double-blind trial comparing treatment of schizophrenia with placebo and olanzapine were used to correlate weight change and change in psychopathology. Additionally, we correlated effect sizes of the efficacy of clozapine, olanzapine, risperidone, haloperidol and placebo (reported in meta-analytical reviews), with their reported weight changes. Weight gain significantly correlated with clinical improvements for placebo and olanzapine. The correlation between treatments’ efficacy and corresponding weight changes was high (r 0.88, p 0.05). Treatment-emergent weight gain appears to be an important marker of symptom reduction, and may not be exclusively attributable to pharmacological perturbations.

scholarly journals REPORTED WEIGHT CHANGE IN OLDER ADULTS AND PRESENCE OF FRAILTY

2019 ◽  
pp. 1-8
Author(s):  
R.S. Crow ◽  
C.L. Petersen ◽  
S.B. Cook ◽  
C.J. Stevens ◽  
A.J. Titus ◽  
...  
Keyword(s):  
Older Adults ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Primary Outcome ◽  
Weight Changes ◽  
Health And Nutrition ◽  
The Impact ◽  
Current Weight ◽  
Time Point

Objective: A 5% change in weight is a significant predictor for frailty and obesity. We ascertained how self-reported weight change over the lifespan impacts rates of frailty in older adults. Methods: We identified 4,984 subjects ≥60 years with body composition measures from the National Health and Nutrition Examination Survey. An adapted version of Fried’s frailty criteria was used as the primary outcome. Self-reported weight was assessed at time current,1 and 10 years earlier and at age 25. Weight changes between each time point were categorized as ≥ 5%, ≤5% or neutral. Logistic regression assessed the impact of weight change on the outcome of frailty. Results: Among 4,984 participants, 56.5% were female, mean age was 71.1 years, and mean BMI was 28.2kg/m2. A weight loss of ≥ 5% had a higher association with frailty compared to current weight, age 25 (OR 2.94 [1.72,5.02]), 10 years ago (OR 1.68 [1.05,2.69]), and 1 year ago (OR 1.55 [1.02,2.36]). Weight gain in the last year was associated with increased rate of frailty (1.59 [1.09,2.32]). Conclusion: There is an association between frailty and reported weight loss over time while only weight gain in the last year has an association with frailty.

scholarly journals Changes and variations of body weight as risk factors for coronary heart disease

2008 ◽  
Vol 61 (5-6) ◽  
pp. 274-280 ◽  
Author(s):  
Dragana Jovanovic ◽  
Branko Jakovljevic ◽  
Katarina Paunovic ◽  
Dusan Grubor ◽  
Aleksandar Milovanovic
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Coronary Heart Disease ◽  
Weight Loss ◽  
Body Weight ◽  
Heart Disease ◽  
Weight Gain ◽  
Weight Change ◽  
Healthy Controls ◽  
Weight Changes

Introduction Weight variations are a common phenomenon. Therefore, concern has been raised about the association between weight changes and weight variations and coronary heart disease (CHD). The aim of this study was to estimate the influence of weight change and weight variations as risk factors for coronary heart disease. Materials and methods The investigation was conducted as an observational cross-sectional study, including 102 participants of both genders: 61 patients with CHD and 41 healthy controls. All participants underwent anthropometric measurements and completed a questionnaire that included 1) weight changes in adulthood (maximum and minimum weight), 2) presence and number of weight variations in the 10 years prior to the onset of disease and 3) the size of weight change (weight gain or weight loss in kg). One weight variation was defined as weight loss followed by weight gain for more than 10% of body weight, or about 7 kg. Multivariant logistic regression was used for the estimation of significant predictors for the occurrence of coronary heart disease. Results Participants with CHD had higher values of body weight in adulthood compared to healthy controls, larger number of weight variations in the last 10 years, and more frequently reported weight gain and weight loss for more than 10 kg. The highest risk for the occurrence of coronary heart disease was observed for participants who had more than 3 weight variations for 10% (OR=2.13; 95%CI=0.98-5.48), those with weight loss over 10 kg (OR=2.16; 95%CI=1.71-2.72) and those with weight gain over 10 kg (OR=2.71; 95%CI=1.08-6.83), regardless of gender, age, smoking, body mass index and blood pressure. Discussion Several mechanisms are suggested to explain the relationship between weight changes and variations and coronary heart disease, including changes in plasma lipid levels, insulin levels, decrease of HDL cholesterol, increase of C-reactive protein and increase of blood pressure. Conclusion This study suggests that frequent and very intense weight changes can be considered important predictors for the occurrence of coronary heart disease.

Experience from the selection and nutritional preparation for Expedition ICE MAIDEN: the first successful all-female unassisted Antarctic traverse

2019 ◽  
pp. jramc-2019-001175 ◽  
Author(s):  
Natalie Taylor ◽  
R M Gifford ◽  
R Cobb ◽  
S L Wardle ◽  
S Jones ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Composition ◽  
Weight Gain ◽  
Lean Mass ◽  
Weight Change ◽  
Weight Changes ◽  
Before And After ◽  
Successful Women ◽  
Composition Changes ◽  
And Training

IntroductionExpedition ICE MAIDEN (Ex IM) was the first all-female unsupported crossing of Antarctica. We describe the prerequisite selection and training, comparing those who formed the final team with other participants, and discuss how the expedition diet was established.MethodsAll women serving in the British Army were invited to participate. Following initial assessments, successful women completed three training/selection ski expeditions. Between expeditions 1 and 2, participants completed 6 months rigorous UK-based training. Weight was measured before and after the 6 months UK-based training, expeditions 2 and 3, and body composition by skinfold before and after expedition 2. Participant feedback, body composition and weight changes were applied to modify the expedition diet and provide weight gain targets prior to Ex IM.ResultsFollowing 250 applications, 50 women were assessed and 22, 12 and seven women attended training expeditions 1, 2 and 3, respectively. The final team of six women lost more weight than other participants during UK-based training (mean (SD) change −1.3 (1.5) kg vs −0.5 (1.6) kg, respectively, p=0.046) and during training expedition 2 (−2.8 (0.8) kg vs −1.7 (0.4) kg, respectively, p=0.048), when they also gained more lean mass (+2.1 (0.8) kg vs +0.4 (0.7) kg, respectively, p=0.004). The Ex IM diet provided 5000 kCal/day, comprising approximately 45% carbohydrate, 45% fat and 10% protein. Median (range) weight change between expedition 3 and Ex IM was +8.7 (−1.9 to +14.3) kg.ConclusionsThe selected Ex IM team demonstrated favourable training-associated body composition changes. Training-associated weight loss informed the expeditionary diet design.

Dietary Restraint as a Predictor of Reported Weight Loss and Affect

1994 ◽  
Vol 75 (3_suppl) ◽  
pp. 1679-1682 ◽  
Author(s):  
Marika Tiggemann
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Dietary Restraint ◽  
Restrained Eaters ◽  
Weight Changes ◽  
Permanent Change ◽  
Chronic Dieting ◽  
Unrestrained Eaters

This study investigated dietary restraint as a predictor of subsequent reported weight loss. Neither chronic dieters nor nondieters reported actually losing weight over a 7-mo. period. With respect to recent weight change, restrained eaters reported both more recent weight loss and more recent weight gain than unrestrained eaters. Further, such weight changes had a much larger influence on their affect. It was concluded that chronic dieting is likely to produce temporary swings in both weight and mood but no permanent change. As such, chronic dieters might best be advised to abandon their dieting attempts.

scholarly journals Waitlist Weight Changes Impact Survival Following Heart Transplantation

2021 ◽  
Author(s):  
Nicholas Hess ◽  
Ryan Tedford ◽  
Brian Houston ◽  
Nicolas Pope ◽  
Lucas Witer ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Gain ◽  
Heart Transplantation ◽  
Weight Change ◽  
Secondary Analysis ◽  
Orthotopic Heart Transplantation ◽  
Weight Changes ◽  
One Year ◽  
The Impact ◽  
United Network

Background: This study investigated the impact of weight change in waitlisted candidates on posttransplant outcomes following orthotopic heart transplantation (OHT). Methods: The United Network for Organ Sharing database was queried to identify adult patients undergoing isolated, primary OHT from 1/1/2010 to 3/20/2020. Patients were stratified into 3 cohorts based on percent weight change from listing to OHT. The primary outcome was one-year survival, and multivariable modeling was used for risk-adjustment. A secondary analysis compared outcomes of recipients waitlisted ≥90 days. Results: A total of 22,360 patients were included, 18,826 (84.2%) with stable weight, 1,672 (7.5%) with ≥5% weight loss, and 1,862 (8.3%) with ≥5% weight gain. Median age was similar across cohorts. Waitlist time was longest in patients with weight gain and shortest in those with stable weight (417 vs 74 days, P<0.001). The weight loss cohort had higher rates of dialysis dependency, pacemaker, and drug-treated acute rejection at one year (all P<0.05). Ninety-day and one-year posttransplant survival was lowest in the weight loss cohort. Multivariable modeling identified both ≥5% weight loss (HR 1.26, 95% CI 1.07-1.48) and decreasing weight (per 1%, HR 1.02, 95% CI 1.01-1.03) as risk-adjusted predictors of one-year mortality. In sub-analysis of recipients waitlisted ≥90 days, ≥5% weight loss and decreasing weight remained significant independent predictors for mortality. Conclusion: Waitlisted OHT candidates with ≥5% weight loss comprised a small, but higher-risk population with increased rates of postoperative complications and decreased survival. Efforts focused on nutritional optimization and preventing weight loss while awaiting OHT appear warranted.

scholarly journals Risk Factors Related to Weight Gain for Chines During Home Confinement in COVID-19 Pandemic: An Observational Retrospective Study

2020 ◽  
Author(s):  
Qing-Song Xia ◽  
Fan Wu ◽  
Ming-Ming Gong ◽  
Yan Zhao ◽  
Ding-Kun Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Weight Loss ◽  
Weight Gain ◽  
Food Intake ◽  
Linear Regression ◽  
Observational Study ◽  
Weight Change ◽  
Normal Weight ◽  
Weight Changes ◽  
Daily Exercise

Abstract Objective: The observational study was intended to explore the weight changes and risk factors of weight gain during the self-quarantine and find available methods to lose weight.Method: This was an online retrospective observational study investigating the weight changes before and after home confinement. A total of 530 participants completed the online questionnaire. diet, sleep, self-reported depression, disease history and exercise information possibly relating to weight changes were incorporated into the questionnaire. The differences among four groups (underweight, normal weight, overweight and obesity) in BMI change and weight change were compared, and the risk factors of weight gain was also analyzed by multiple linear regression analysis. Result: Participants were mostly between 21-50 years old, getting an average weight change of 0.82±3.31kg, and an average BMI change of 0.35 [-0.37, 1.00]. 43.77% of them gained weight by 2.99±2.29kg averagely. People with normal weight were easier to gain weight than obese group (p=0.001). There were differences in food intake (p<0.001), eating habits(p<0.001), taste preference (p=0.047), daily exercise step change(p=0.007), exercise (p=0.02) between non-weight gain group and weight gain group. The multiple linear regression revealed that weight gains were associated with sex (p=0.002), food intake (p=0.004), current daily exercise step (p=0.009) and self-reported depression (p=0.002) and weight loss was related to food intake (p=0.004) and pre-BMI (p=0.001).Conclusion: Eating irregularly, increasing food intake, self-reported depression and decreased daily steps were risk factors of weight gain, yet weight loss was related to decreased food intake and pre-BMI.

scholarly journals Managing Obesity in Lockdown: Survey of Health Behaviors and Telemedicine

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1359
Author(s):  
Noga C Minsky ◽  
Dafna Pachter ◽  
Galia Zacay ◽  
Naama Chishlevitz ◽  
Miriam Ben-Hamo ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Health Behaviors ◽  
Online Survey ◽  
Eating Patterns ◽  
Weight Changes ◽  
Exercise Habits ◽  
Prevent Weight Gain ◽  
Vegetables And Fruits

Since the outbreak of COVID-19, billions of people have gone into lockdown, facing pandemic related challenges that engender weight gain, especially in the obese. We report the results of an online survey, conducted during Israel’s first quarantine, of 279 adults treated in hospital-based obesity clinics with counseling, medications, surgery, endoscopic procedures, or any combination of these for weight loss. In this study, we assessed the association between changes in dietary and lifestyle habits and body weight, and the benefits of receiving weight management care remotely through telemedicine during lockdown. Compared to patients not receiving obesity care via telemedicine, patients receiving this care were more likely to lose weight (OR, 2.79; p = 0.042) and also to increase participation in exercise (OR, 2.4; p = 0.022). While 40% of respondents reported consuming more sweet or salty processed snacks and 33% reported less vegetables and fruits, 65% reported more homemade foods. At the same time, 40% of respondents reported a reduction in exercise and 52% reported a decline in mood. Alterations in these eating patterns, as well as in exercise habits and mood, were significantly associated with weight changes. This study highlights that lockdown affects health behaviors associated with weight change, and advocates for the use of telemedicine to provide ongoing obesity care during future quarantines in order to promote weight loss and prevent weight gain.

scholarly journals Depression-related weight change and incident diabetes in a community sample

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eva Graham ◽  
Tristan Watson ◽  
Sonya S. Deschênes ◽  
Kristian B. Filion ◽  
Mélanie Henderson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Short Form ◽  
Community Sample ◽  
Overweight And Obesity ◽  
Community Dwelling ◽  
Increased Risk

AbstractThis cohort study aimed to compare the incidence of type 2 diabetes in adults with depression-related weight gain, depression-related weight loss, depression with no weight change, and no depression. The study sample included 59,315 community-dwelling adults in Ontario, Canada. Depression-related weight change in the past 12 months was measured using the Composite International Diagnostic Interview—Short Form. Participants were followed for up to 20 years using administrative health data. Cox proportional hazards models compared the incidence of type 2 diabetes in adults with depression-related weight change and in adults with no depression. Adults with depression-related weight gain had an increased risk of type 2 diabetes compared to adults no depression (HR 1.70, 95% CI 1.32–2.20), adults with depression-related weight loss (HR 1.62, 95% CI 1.09–2.42), and adults with depression with no weight change (HR 1.39, 95% CI 1.03–1.86). Adults with depression with no weight change also had an increased risk of type 2 diabetes compared to those with no depression (HR 1.23, 95% CI 1.04–1.45). Associations were stronger among women and persisted after adjusting for attained overweight and obesity. Identifying symptoms of weight change in depression may aid in identifying adults at higher risk of type 2 diabetes and in developing tailored prevention strategies.

Growth and seasonal weight changes as they relate to spring and autumn set points in mule deer

1991 ◽  
Vol 69 (3) ◽  
pp. 744-747 ◽  
Author(s):  
Lyle A. Renecker ◽  
W. M. Samuel
Keyword(s):  
Growth Rate ◽  
Weight Loss ◽  
Weight Gain ◽  
Mule Deer ◽  
Odocoileus Hemionus ◽  
Weight Changes ◽  
Annual Cycles ◽  
Body Weights ◽  
Compensatory Gain ◽  
Highly Correlated

Growth rate and potential, 25 hand-reared mule deer (Odocoileus hemionus hemionus) were examined. When possible, body weights of all animals were recorded weekly. Female deer matured faster than males, but males attained a larger body size. Regressions of winter weight loss of both sexes on peak autumn weight were highly correlated. Similarly, spring and summer compensatory gain in females could be predicted from the minimum spring weight. Annual cycles of intake and weight gain may have adaptations that improve reproductive success and winter survival.

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