Is recipient's body mass index a determinant of short term complications in early renal transplantation?

2020 ◽  
Vol 30 (12) ◽  
pp. 663-674
Author(s):  
V. Queruel ◽  
R. Kabore ◽  
A. Guillaume ◽  
K. Moreau ◽  
K. Leffondre ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3245
Author(s):  
Emma C. Atakpa ◽  
Adam R. Brentnall ◽  
Susan Astley ◽  
Jack Cuzick ◽  
D. Gareth Evans ◽  
...  

We evaluated the association between short-term change in body mass index (BMI) and breast density during a 1 year weight-loss intervention (Manchester, UK). We included 65 premenopausal women (35–45 years, ≥7 kg adult weight gain, family history of breast cancer). BMI and breast density (semi-automated area-based, automated volume-based) were measured at baseline, 1 year, and 2 years after study entry (1 year post intervention). Cross-sectional (between-women) and short-term change (within-women) associations between BMI and breast density were measured using repeated-measures correlation coefficients and multivariable linear mixed models. BMI was positively correlated with dense volume between-women (r = 0.41, 95%CI: 0.17, 0.61), but less so within-women (r = 0.08, 95%CI: −0.16, 0.28). There was little association with dense area (between-women r = −0.12, 95%CI: −0.38, 0.16; within-women r = 0.01, 95%CI: −0.24, 0.25). BMI and breast fat were positively correlated (volume: between r = 0.77, 95%CI: 0.69, 0.84, within r = 0.58, 95%CI: 0.36, 0.75; area: between r = 0.74, 95%CI: 0.63, 0.82, within r = 0.45, 95%CI: 0.23, 0.63). Multivariable models reported similar associations. Exploratory analysis suggested associations between BMI gain from 20 years and density measures (standard deviation change per +5 kg/m2 BMI: dense area: +0.61 (95%CI: 0.12, 1.09); fat volume: −0.31 (95%CI: −0.62, 0.00)). Short-term BMI change is likely to be positively associated with breast fat, but we found little association with dense tissue, although power was limited by small sample size.


2021 ◽  
pp. 000313482110241
Author(s):  
Christine Tung ◽  
Junko Ozao-Choy ◽  
Dennis Y. Kim ◽  
Christian de Virgilio ◽  
Ashkan Moazzez

There are limited studies regarding outcomes of replacing an infected mesh with another mesh. We reviewed short-term outcomes following infected mesh removal and whether placement of new mesh is associated with worse outcomes. Patients who underwent hernia repair with infected mesh removal were identified from 2005 to 2018 American College of Surgeons-National Surgical Quality Improvement Program database. They were divided into new mesh (Mesh+) or no mesh (Mesh-) groups. Bivariate and multivariate logistic regression analyses were used to compare morbidity between the two groups and to identify associated risk factors. Of 1660 patients, 49.3% received new mesh, with higher morbidity in the Mesh+ (35.9% vs. 30.3%; P = .016), but without higher rates of surgical site infection (SSI) (21.3% vs. 19.7%; P = .465). Mesh+ had higher rates of acute kidney injury (1.3% vs. .4%; P = .028), UTI (3.1% vs. 1.3%, P = .014), ventilator dependence (4.9% vs. 2.4%; P = .006), and longer LOS (8.6 vs. 7 days, P < .001). Multivariate logistic regression showed new mesh placement (OR: 1.41; 95% CI: 1.07-1.85; P = .014), body mass index (OR: 1.02; 95% CI: 1.00-1.03; P = .022), and smoking (OR: 1.43; 95% CI: 1.05-1.95; P = .025) as risk factors independently associated with increased morbidity. New mesh placement at time of infected mesh removal is associated with increased morbidity but not with SSI. Body mass index and smoking history continue to contribute to postoperative morbidity during subsequent operations for complications.


2019 ◽  
Vol 23 (3) ◽  
pp. 375-383
Author(s):  
Muhittin Ertilav ◽  
W. Nathan Levin ◽  
Aygul Celtik ◽  
Fatih Kircelli ◽  
Stefano Stuard ◽  
...  

2019 ◽  
Vol 113 (1) ◽  
pp. 43-56
Author(s):  
John McMahon ◽  
Robert S. Wall Emerson ◽  
Paul Ponchillia ◽  
Amy Curtis

Introduction: This study explored the relationship between first-time or repeat participation at a sports education camp and demographic variables of gender, age, race or ethnicity, measures of self-perception, body mass index (BMI), and physical activity in participants’ communities. Methods: The study was a secondary data analysis of interview and BMI data for youths with visual impairments (i.e., those who are blind or have low vision) who attended a sports education camp in one of 12 states in the years 1989, 1996, and 2000–2010. Results: The short-term intervention model of a sports education camp had a positive effect on participants’ perceptions of themselves. This result was more pronounced for boys and for youths with some usable vision. Involvement in a sports education camp did not tend to translate to increased involvement in sports in a student’s community. The mean BMI of first-time participants was consistent across gender, race or ethnicity, and vision category, and the BMI of first-time participants tended to be higher according to the age of the participant. Discussion: The findings revealed that the short-term intervention model of a sports education camp is highly effective in increasing self-perception for youngsters with vision impairments. Implications for practitioners: For youths with visual impairments who might be experiencing reduced social interaction, decreased self-perception or increased BMI involvement in a sports education camp is a short-term intervention that can positively impact these effects.


2019 ◽  
Vol 26 (7) ◽  
pp. 2090-2103 ◽  
Author(s):  
Peiyu Wang ◽  
Yin Li ◽  
Haibo Sun ◽  
Shilei Liu ◽  
Ruixiang Zhang ◽  
...  

2020 ◽  
Vol 30 (3) ◽  
pp. 372-376 ◽  
Author(s):  
Richard U. Garcia ◽  
Preetha L. Balakrishnan ◽  
Sanjeev Aggarwal

AbstractBackground:Obesity is a modifiable, independent risk factor for mortality and morbidity after cardiovascular surgery in adults. Our objective was to evaluate the impact of obesity on short-term outcomes in adolescents undergoing surgery for congenital heart disease (CHD).Methods:This retrospective chart review included patients 10–18 years of age who underwent CHD surgery. Our exclusion criteria were patients with a known genetic syndrome, heart transplantation, and patients with incomplete medical records. The clinical data collected included baseline demographics and multiple perioperative variables. Charting the body mass index in the Centers for Disease Control and Prevention growth curves, the entire cohort was divided into three categories: obese (>95th percentile), overweight (85th–95th percentile), and normal weight (<85th percentile). The composite outcome included survival, arrhythmias, surgical wound infection, acute neurologic injury, and acute kidney injury.Results:The study cohort (n = 149) had a mean standard deviation (SD), body mass index (BMI) of 22.6 ± 6.5 g/m2, and 65% were male. There were 27 obese (18.1%), 24 overweight (16.1%), and 98 normal weight (65.8%) patients. Twenty-seven (18%) patients had composite adverse outcomes. Overweight and obese patients had significantly higher adverse outcomes compared with normal weight patients (odds ratio (OR): 2.9; confidence interval (CI): 1–8.5, p = 0.04 and OR: 3; CI: 1–8.5, p = 0.03, respectively). In multivariate analysis, obesity was an independent predictor of adverse outcome in our cohort (p = 0.04).Conclusions:Obesity is associated with short-term adverse outcome and increased health resource utilisation in adolescents following surgery for CHD. Further studies should evaluate if intervention in the preoperative period can improve outcomes in this population.


2019 ◽  
Vol 25 (10) ◽  
pp. 1022-1028
Author(s):  
Kelly Shibuya ◽  
Khawla F. Ali ◽  
Xinge Ji ◽  
Alex Milinoivh ◽  
Janine Bauman ◽  
...  

Objective: The effectiveness of anti-obesity medications (AOMs) outside of clinical trials is unclear. The objective of this study was to compare the short-term effectiveness of AOMs in real-world practice. Methods: This retrospective study included adults aged ≥18 years, with body mass index ≥30 kg/m2 or ≥27 kg/m2 with at least one obesity-related comorbidity who were prescribed phentermine hydrochloride, phenterminetopiramate, bupropion-naltrexone, or lorcaserin for 12 consecutive weeks between 2006 and 2016 at a large tertiary healthcare system. Propensity score–matched cohorts were created for each pair of AOMs. The primary outcomes were percent and absolute weight loss from baseline after 12 weeks. A prediction model was constructed to estimate weight loss with different AOMs based on demographic and clinical data. Results: Of the 3,411 patients included in this study, patients lost an average of 3.45% of body weight from baseline. All AOMs were associated with a significant weight loss from baseline ( P<.0001). Patients lost the highest percentage of body weight on phentermine hydrochloride (3.75 ± 5.66%), followed by phentermine-topiramate (3.63 ± 5.7%), bupropion-naltrexone (2.66 ± 5.03%), and lorcaserin (1.84 ± 6.69%). In propensity-matched cohorts, patients taking phentermine hydrochloride lost more weight than those taking lorcaserin or bupropion-naltrexone, and patients taking phentermine topiramate lost more weight than patients taking lorcaserin. Conclusion: In real-world practice, AOMs are associated with clinically meaningful weight loss of 2 to 4% after 12 weeks. In this study, phentermine hydrochloride and phentermine topiramate produced the most weight loss. AOMs should be seriously considered as part of the armamentarium to treat patients with obesity. Abbreviations: AOM = anti-obesity medication; BMI = body mass index; EMR = electronic medical record; FDA = Food and Drug Administration; T2D = type 2 diabetes


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