High Body Mass Index in Muscular Patients and Flank Position Are Risk Factors for Rhabdomyolysis: Case Report after Laparoscopic Live-Donor Nephrectomy

2006 ◽  
Vol 20 (9) ◽  
pp. 646-650 ◽  
Author(s):  
Jamil Rehman ◽  
Joseph Boglia ◽  
Bilal Chughtai ◽  
Troy Sukkarieh ◽  
Sardar A. Khan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Case Report ◽  
Body Mass ◽  
High Body Mass Index ◽  
Donor Nephrectomy ◽  
Live Donor ◽  
High Body ◽  
Live Donor Nephrectomy ◽  
Laparoscopic Live Donor Nephrectomy

scholarly journals Estimated and projected burden of multiple sclerosis attributable to smoking and childhood and adolescent high body-mass index: a comparative risk assessment

2020 ◽  
Author(s):  
Julia Pakpoor ◽  
Klaus Schmierer ◽  
Jack Cuzick ◽  
Gavin Giovannoni ◽  
Ruth Dobson
Keyword(s):  
Risk Factors ◽  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Life ◽  
Time Lag ◽  
Early Adulthood ◽  
High Body Mass Index ◽  
High Body ◽  
High Bmi

Abstract Background Smoking and childhood and adolescent high body-mass index (BMI) are leading lifestyle-related risk factors of global premature morbidity and mortality, and have been associated with an increased risk of developing multiple sclerosis (MS). This study aims to estimate and project the proportion of MS incidence that could be prevented with elimination of these risk factors. Methods Prevalence estimates of high BMI during childhood/adolescence and smoking in early adulthood, and relative risks of MS, were obtained from published literature. A time-lag of 10 years was assumed between smoking in early adulthood and MS incidence, and a time-lag of 20 years was assumed between childhood/adolescent high BMI and MS incidence. The MS population attributable fractions (PAFs) of smoking and high BMI were estimated as individual and combined risk factors, by age, country and sex in 2015, 2025 and 2035 where feasible. Results The combined estimated PAFs for smoking and high BMI in 2015 were 14, 11, 12 and 12% for the UK, USA, Russia and Australia in a conservative estimate, and 21, 20, 19 and 16% in an independent estimate, respectively. Estimates for smoking are declining over time, whereas estimates for high early life BMI are rising. The PAF for high early life BMI is highest in the USA and is estimated to increase to 14% by 2035. Conclusions Assuming causality, there is the potential to substantially reduce MS incidence with the elimination of lifestyle-related modifiable risk factors, which are the target of global public health prevention strategies.

High Body Mass Index and Posttransplant Weight Gain Are Not Risk Factors for Kidney Graft and Patient Outcome

2007 ◽  
Vol 39 (7) ◽  
pp. 2205-2207 ◽  
Author(s):  
R. Marcén ◽  
A. Fernández ◽  
J. Pascual ◽  
J.L. Teruel ◽  
J.J. Villafruela ◽  
...  
Keyword(s):  
Risk Factors ◽  
Patient Outcome ◽  
Body Mass Index ◽  
Weight Gain ◽  
Body Mass ◽  
High Body Mass Index ◽  
Kidney Graft ◽  
High Body

Smoking and High Body Mass Index: Risk Factors for Advanced Interval Polyps

2018 ◽  
Vol 113 (Supplement) ◽  
pp. S160
Author(s):  
Aliya Khan ◽  
Divya Bhatt ◽  
Paul Gomez ◽  
Lauren S. Cole ◽  
Richard Gerkin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
High Body Mass Index ◽  
High Body

The Risk of Recurrent Pregnancy Loss in Patients with a High Body Mass Index: An Evidence-Based Case Report

2020 ◽  
Vol 19 (10) ◽  
pp. 460-467
Author(s):  
Tofan Widya Utam ◽  
Lowilius Wiyono ◽  
Nathalia Isabella M ◽  
Nadine Herdwita Putri Soer ◽  
Karel Handito Syafi Suma ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Case Report ◽  
Body Mass ◽  
Pregnancy Loss ◽  
Recurrent Pregnancy Loss ◽  
High Body Mass Index ◽  
Evidence Based ◽  
High Body

Temporal trend of early pregnancy high body mass index in Australian women: risk factors and outcomes

2021 ◽  
Vol 29 (1) ◽  
pp. 10-18
Author(s):  
Marjan Khajehei ◽  
Hassan Assareh
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Early Pregnancy ◽  
High Body Mass Index ◽  
Tertiary Hospital ◽  
Reproductive Age ◽  
Smoking During Pregnancy ◽  
High Body ◽  
High Bmi

Background There is a shift toward the increasing weight gain among women of reproductive age. Aim To assess changes in the prevalence of high body mass index (BMI) (including both overweight and obese) in early pregnancy in Australian women, and its risk factors and association with selected birth outcomes from 2011–2017. Methods Records of pregnant women who received antenatal care and gave birth at an Australian tertiary hospital during 2011–2017 were evaluated and trends of high BMI were investigated. Results The risk of high BMI at early pregnancy increased by 3% annually and rose from 37% in 2011 to 44% in 2017. The risk of high BMI was greater in women who were more than 35 years old, multiparous, were smoking during pregnancy, and who had neurological disorders. High maternal BMI was associated with greater risks of having assisted conception, caesarean section and larger neonate. Conclusion The rate of high BMI in early pregnancy increased between 2011–2017.

PS02.154: RISK FACTORS FOR WEIGHT LOSS 1 MONTH AFTER ESOPHAGECTOMY FOR ESOPHAGEAL CANCER

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 165-165
Author(s):  
Hiromi Mohizuki ◽  
Shinji Mine ◽  
Takashi Nakahama ◽  
Masayuki Watanabe ◽  
Naoki Hiki
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Weight Loss ◽  
Esophageal Cancer ◽  
Body Weight ◽  
Body Mass ◽  
Odds Ratio ◽  
High Body Mass Index ◽  
Body Weight Loss ◽  
High Body

Abstract Background Post-operative body weight loss (BWL) of patients who underwent esophagectomy is common. One month after esophagectomy, some patients lose weight remarkably, and others not. If preoperative or operative risk factors influencing body weight loss are identified, it will be possible that nutritional intervention is given to the patient having these risk factors. Methods In our department, the dietician stays in a surgical ward for nutritional management of patients. Ninety-two patients who underwent esophagectomy for esophageal cancer in 2016 were reviewed. Pre-operative and operative factors were correlated with post-operative BWL. The cut-off value of BWL 1 month after esophagectomy was defined with 75 percentile. Results The median body weight change was -4.8% (-18.5% ∼11.7%). The patients were divided into two groups; 24 patients with ≥ 7.3% of BWL (severe BWL group) and 68 with < 7.3% of BWL (mild BWL group). Patients’ characteristics or post-operative morbidities were not statistically different in these 2 groups. The incidence of patients with reconstruction using a colon or jejunum was higher in severe BWL group. Pre-operative body weight, body mass index, and the value of prealbumin was higher in severe BWL group. On postoperative 14 day, the patients in severe BWL group were likely to have lower energy intake per kilogram of pre-operative body weight. On multivariate analysis, high body mass index [odds ratio = 5.90; 95% confidence interval (CI) = 1.03–47.8; P = 0.046], upper location of tumor [odds ratio = 3.38; 95%, CI = 1.04–11.4; P = 0.043] were independently associated with severe BWL at 1 month after surgery. Conclusion High body mass index of ≥ 25, upper location of tumor were unfavorable risk factors for weight loss 1 month after esophagectomy for esophageal cancer. Disclosure All authors have declared no conflicts of interest.

scholarly journals DELAYED GRAFT FUNCTION FOLLOWING LAPAROSCOPIC LIVE DONOR NEPHRECTOMY: A MULTIVARIATE ANALYSIS

2016 ◽  
Vol 23 (2) ◽  
Author(s):  
Pande Made Wisnu Tirtayasa ◽  
Gerhard Reinaldi Situmorang ◽  
Arry Rodjani ◽  
Nur Rasyid
Keyword(s):  
Risk Factors ◽  
Multivariate Analysis ◽  
Graft Function ◽  
Donor Nephrectomy ◽  
Delayed Graft Function ◽  
Live Donor ◽  
Ischemia Time ◽  
Live Donor Nephrectomy ◽  
Incidence Risk ◽  
Laparoscopic Live Donor Nephrectomy

Objective: This study was performed to define and investigate the incidence, risk factors, and clinical characteristics of delayed graft function (DGF) in laparoscopic live donor nephrectomy (LDN). Material & methods: We retrospectively analyzed the medical records of donor and recipient from our first 100 cases of laparoscopic LDN in Cipto Mangunkusumo General Hospital Jakarta, from November 2011 to February 2014. The criteria used to define DGF were the requirement for dialysis in postoperative week 1 and/or serum creatinine greater than 2.5 mg/dl at postoperative day 7. Patients who did not match any of these criteria were define as having normal renal allograft function. Results: The overall prevalence of DGF was 14%. Recipients body mass index, cold ischemia time, vascular anastomosis time, and total ischemia time were higher among the delayed graft function group, but no risk factors for DGF were significantly associated after multivariate analysis. Conclusion: The incidence of DGF in our study was in the range of that observed in previous studies. The factors that previously reported and believed as risk factors of DGF in laparoscopic LDN were not significantly associated with the development of DGF in our study.

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