scholarly journals Determinants of excessive weight loss in breastfed full-term newborns at a baby-friendly hospital: a retrospective cohort study

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Yasuhiro Miyoshi ◽  
Hideyo Suenaga ◽  
Mikihiro Aoki ◽  
Shigeki Tanaka
Keyword(s):  
Weight Loss ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Full Term ◽  
Excessive Weight Loss ◽  
Excessive Weight ◽  
Term Newborns

scholarly journals Estimation Of Excessive Weight Loss In Bariatric Surgery Patients: A Prediction Model Retrospective Cohort Study

2021 ◽  
Author(s):  
Mahsa Hatami ◽  
Abdolreza Pazouki ◽  
Ali Kabir
Keyword(s):  
Bariatric Surgery ◽  
Weight Loss ◽  
Gastric Bypass ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Excess Weight Loss ◽  
Adverse Consequence ◽  
Excessive Weight Loss ◽  
Excessive Weight

Abstract Background and Objective: Bariatric surgery has been recognized as the most effective long-term treatment for morbid obesity. Despite the considerable positive results, adverse consequence can develop. Excessive Weight Loss (EXWL), a rare consequence of bariatric surgery, can lead to a broad adverse consequence. The aim of this study was determining of prevalence and the predicting model of EXWL in patient underwent bariatric surgery until 24 months after surgery.Material and Methods: Data have been extracted from the National Obesity Surgery Database in obesity clinic of * University of Medical Sciences. The subjects of this retrospective cohort study were morbid obese individuals who underwent three various types of bariatric surgery (One Anastomosis Gastric Bypass (OAGB), Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG)) in period of 24 months ago. EXWL has been defined as excess weight loss more than 100% at any time until 24 months after surgery. SPSS (version 23) was used in data analysis.Results: Among 4214 subjects of this study, most excess weight loss after surgery has taken place in 18 months after surgery. 18.5% (n=407) of patients experienced EXWL with highest percentage among OAGB patients (22.6%). The females (20.4% vs.9.9%) and younger persons (35.45 ± 10.25 vs. 39.06 ± 10.76) were more susceptible to EXWL. patients with EXWL had significantly lower BMI (body mass index) (41.11± 4.51 vs. 46.73±6.26) (Kg/m2), and were less probable to had emotional eating. Visceral fat level, fat percentage and BMI were the best predictor of EXWL (P-value for all <0.05).Conclusions: Surgery should be adjusted in younger females with a lower BMI and healthy metabolic status who are more prone to EXWL. In such a way that minimize weight loss speed/value. It may be possible by selection of other surgery procedures, rather than OAGB, tighter follow ups and consultations of patients after surgery is emphasized for more EXWL vulnerable patients.

scholarly journals Changes of Body Weight and Body Composition in Obese Patients with Prader–Willi Syndrome at 3 and 6 Years of Follow-Up: A Retrospective Cohort Study

2020 ◽  
Vol 9 (11) ◽  
pp. 3596
Author(s):  
Giorgio Bedogni ◽  
Graziano Grugni ◽  
Sabrina Cicolini ◽  
Diana Caroli ◽  
Sofia Tamini ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Composition ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Density Lipoprotein ◽  
Rehabilitation Program ◽  
Long Term Results ◽  
Prader Willi Syndrome

Few short-term studies of weight loss have been performed in adult patients with Prader–Willi syndrome (PWS) undergoing metabolic rehabilitation. We performed a retrospective cohort study of 45 adult obese PWS patients undergoing a long-term multidisciplinary metabolic rehabilitation program based on diet and physical activity. Body composition was evaluated by dual-energy X-ray absorptiometry in 36 (80%) patients. The mean (95% CI) weight change was −3.6 (−7.6 to 0.4, p = 0.08) kg at 3 years and −4.6 (−8.5 to −0.8, p = 0.02) kg at 6 years, and that of BMI was −1.7 (−3.4 to 0.1, p = 0.06) kg/m2 at 3 years and −2.1 (−3.8 to −0.4, p = 0.02) kg/m2 at 6 years. A decrease of about 2% in fat mass per unit of body mass was observed, which is in line with the expectations for moderate weight loss. A possibly clinically relevant decrease in total and low-density lipoprotein cholesterol was also observed. These long-term results are important for patients with PWS, which is characterized by severe hyperphagia, behavioral disturbances, and cognitive impairment and is generally considered “resistant” to classical weight loss interventions.

scholarly journals Maternal metabolic profiling to assess fetal gestational age and predict preterm delivery: a two-centre retrospective cohort study in the US

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e040647
Author(s):  
Karl G Sylvester ◽  
Shiying Hao ◽  
Jin You ◽  
Le Zheng ◽  
Lu Tian ◽  
...  
Keyword(s):  
Cohort Study ◽  
Preterm Birth ◽  
Gestational Age ◽  
Retrospective Cohort Study ◽  
Metabolic Profiling ◽  
Retrospective Cohort ◽  
Clinical Care ◽  
Full Term ◽  
Additional Patient ◽  
Term Pregnancy

ObjectivesThe aim of this study was to develop a single blood test that could determine gestational age and estimate the risk of preterm birth by measuring serum metabolites. We hypothesised that serial metabolic modelling of serum analytes throughout pregnancy could be used to describe fetal gestational age and project preterm birth with a high degree of precision.Study designA retrospective cohort study.SettingTwo medical centres from the USA.ParticipantsThirty-six patients (20 full-term, 16 preterm) enrolled at Stanford University were used to develop gestational age and preterm birth risk algorithms, 22 patients (9 full-term, 13 preterm) enrolled at the University of Alabama were used to validate the algorithms.Outcome measuresMaternal blood was collected serially throughout pregnancy. Metabolic datasets were generated using mass spectrometry.ResultsA model to determine gestational age was developed (R2=0.98) and validated (R2=0.81). 66.7% of the estimates fell within ±1 week of ultrasound results during model validation. Significant disruptions from full-term pregnancy metabolic patterns were observed in preterm pregnancies (R2=−0.68). A separate algorithm to predict preterm birth was developed using a set of 10 metabolic pathways that resulted in an area under the curve of 0.96 and 0.92, a sensitivity of 0.88 and 0.86, and a specificity of 0.96 and 0.92 during development and validation testing, respectively.ConclusionsIn this study, metabolic profiling was used to develop and test a model for determining gestational age during full-term pregnancy progression, and to determine risk of preterm birth. With additional patient validation studies, these algorithms may be used to identify at-risk pregnancies prompting alterations in clinical care, and to gain biological insights into the pathophysiology of preterm birth. Metabolic pathway-based pregnancy modelling is a novel modality for investigation and clinical application development.

Weight-loss and appetite in outpatients in hemodialysis: a retrospective cohort study

2021 ◽  
Vol 46 ◽  
pp. S607-S608
Author(s):  
A.M. Loff ◽  
A.L. Jakobsen ◽  
T. Munk ◽  
A.W. Knudsen
Keyword(s):  
Weight Loss ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort
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