scholarly journals Cancer and Involuntary Weight Loss: Failure to Validate a Prediction Score

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e95286 ◽  
Author(s):  
Cristian Baicus ◽  
Mihai Rimbas ◽  
Anda Baicus ◽  
Simona Caraiola ◽  
Keyword(s):  
Weight Loss ◽  
Prediction Score ◽  
Weight Loss Failure ◽  
Involuntary Weight Loss

scholarly journals Involuntary weight loss without specific symptoms: a clinical prediction score for malignant neoplasm

QJM ◽  
2003 ◽  
Vol 96 (9) ◽  
pp. 649-655 ◽  
Author(s):  
J.L. Hernandez ◽  
P. Matorras ◽  
J.A. Riancho ◽  
J. Gonzalez-Macias
Keyword(s):  
Weight Loss ◽  
Malignant Neoplasm ◽  
Prediction Score ◽  
Clinical Prediction ◽  
Specific Symptoms ◽  
Involuntary Weight Loss

Five-year Outcomes of Sleeve Gastrectomy: A Prospective Multicenter study

2021 ◽  
pp. 000313482199198
Author(s):  
Imad El Moussaoui ◽  
Etienne Van Vyve ◽  
Hubert Johanet ◽  
André Dabrowski ◽  
Arnaud Piquard ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Loss ◽  
Sleeve Gastrectomy ◽  
Body Mass ◽  
Excess Weight Loss ◽  
Prospective Multicenter Study ◽  
Weight Loss Failure ◽  
Obstructive Sleep ◽  
The Mean ◽  
Predictors Of Weight Loss

Background Sleeve gastrectomy (SG) is the most frequently performed bariatric procedure in the world. Our purpose was to evaluate the percentage of excess weight loss (%EWL), resolution of obesity-related comorbidities after SG, and identify predictive factors of weight loss failure. Methods A prospective cohort study of adults who underwent SG during 2014 in 7 Belgian-French centers. Their demographic, preoperative, and postoperative data were prospectively collected and analyzed statistically. Results Overall, 529 patients underwent SG, with a mean preoperative weight and body mass index (BMI) of 118.9 ± 19.9 kg and 42.9 ± 5.5 kg/m2, respectively. Body mass index significantly decreased to 32.2 kg/m2 at 5 years ( P < .001). The mean %EWL was 63.6% at 5 years. A significant reduction in dyslipidemia (28.0%-18.2%), obstructive sleep apnea (OSAS) (34.6%-25.1%), and arterial hypertension (HTN) (30.4%-21.5%) was observed after 5 years, but not for diabetes and gastroesophageal reflux disease (GERD). At multivariate analysis, age >50 years old, BMI >50 kg/m2, and previous laparoscopic adjustable gastric banding (LAGB) remained independent predictors of weight loss failure. Conclusions Five years after SG, weight loss was satisfactory; the reduction of comorbidities was significant for dyslipidemia, OSAS, and HTN, but not diabetes and GERD. Age >50 years old, BMI >50 kg/m2, and previous LAGB were independent predictors of weight loss failure.

Clinical Dutch-English Lambert-Eaton Myasthenic Syndrome (LEMS) Tumor Association Prediction Score Accurately Predicts Small-Cell Lung Cancer in the LEMS

2011 ◽  
Vol 29 (7) ◽  
pp. 902-908 ◽  
Author(s):  
Maarten J. Titulaer ◽  
Paul Maddison ◽  
Jacob K. Sont ◽  
Paul W. Wirtz ◽  
David Hilton-Jones ◽  
...  
Keyword(s):  
Weight Loss ◽  
Karnofsky Performance Status ◽  
Performance Status ◽  
Age At Onset ◽  
Small Cell ◽  
Prediction Score ◽  
Receiver Operating Curve ◽  
Small Cell Lung ◽  
Myasthenic Syndrome ◽  
Tumor Association

Purpose Approximately one half of patients with Lambert-Eaton myasthenic syndrome (LEMS) have small-cell lung carcinomas (SCLC), aggressive tumors with poor prognosis. In view of its profound impact on therapy and survival, we developed and validated a score to identify the presence of SCLC early in the course of LEMS. Patients and Methods We derived a prediction score for SCLC in LEMS in a nationwide cohort of 107 Dutch patients, and validated it in a similar cohort of 112 British patients. A Dutch-English LEMS Tumor Association Prediction (DELTA-P) score was developed based on multivariate logistic regression. Results Age at onset, smoking behavior, weight loss, Karnofsky performance status, bulbar involvement, male sexual impotence, and the presence of Sry-like high-mobility group box protein 1 serum antibodies were independent predictors for SCLC in LEMS. A DELTA-P score was derived allocating 1 point for the presence of each of the following items at or within 3 months from onset: age at onset ≥ 50 years, smoking at diagnosis, weight loss ≥ 5%, bulbar involvement, erectile dysfunction, and Karnofsky performance status lower than 70. The area under the curve of the receiver operating curve was 94.4% in the derivation cohort and 94.6% in the validation set. A DELTA-P score of 0 or 1 corresponded to a 0% to 2.6% chance of SCLC, whereas scores of 4, 5, and 6 corresponded to chances of SCLC of 93.5%, 96.6%, and 100%, respectively. Conclusion The simple clinical DELTA-P score discriminated patients with LEMS with and without SCLC with high accuracy early in the course of LEMS.

Alterations In Macronutrient ­Metabolism In Starvation And Disease

2018 ◽  
Author(s):  
L John Hoffer
Keyword(s):  
Weight Loss ◽  
Muscle Atrophy ◽  
Systemic Inflammation ◽  
Protein Energy Malnutrition ◽  
Metabolic Adaptation ◽  
Clinical Approach ◽  
Protein Energy ◽  
Key Words Adaptation ◽  
Disuse Muscle Atrophy ◽  
Involuntary Weight Loss

This review explains starvation as both a physiologic process and a disease. It includes a detailed explanation of the modifying effects of metabolic adaptation and systemic inflammation, as interpreted in a clinical context. It navigates the reader through the difficult shoals of vague and conflicting terminology that burden this topic and provides current definitions and nuanced explanations of the important but frequently misunderstood terms related to starvation and its modifiers and consequences. It provides a succinct explanation of the physiology of total fasting and its clinical correlates. Finally, it explains the interactions among starvation, sarcopenia, frailty, involuntary weight loss, systemic inflammation, cachexia, and disuse muscle atrophy. The multiple and interacting causes of generalized muscle atrophy are pointed out. Inadequate appreciation of these interactions can result in failure to diagnose and treat starvation-induced diseases. A clinical approach to involuntary weight loss is outlined.   This review contains 6 figures, 2 tables and 56 references Key words: adaptation, cachexia, frailty, hypoalbuminemia, inflammation, ketosis, kwashiorkor, malnutrition, marasmus, muscle atrophy, protein-energy malnutrition, sarcopenia, starvation, systemic inflammation, weight loss

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