Pre-donation Body Mass Index associations with outcomes in Living Kidney Donors: A Single Centre Experience

2018 ◽  
Author(s):  
Andreas Kousios
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Single Centre ◽  
Kidney Donors ◽  
Living Kidney Donors ◽  
Single Centre Experience

The impact of body mass index on outcomes in robotic colorectal surgery: a single-centre experience

2021 ◽  
Author(s):  
Enda Hannan ◽  
Amanda Troy ◽  
Gerard Feeney ◽  
Mohammad Fahad Ullah ◽  
Claire Ryan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Colorectal Surgery ◽  
Body Mass ◽  
Single Centre ◽  
Robotic Colorectal Surgery ◽  
Single Centre Experience ◽  
The Impact

scholarly journals AB016. SOH21AS074. The impact of body mass index on outcomes in robotic colorectal surgery: a single centre experience

2021 ◽  
Vol 5 ◽  
pp. AB016-AB016
Author(s):  
Amanda Troy ◽  
Enda Hannan ◽  
Patrick Corcoran ◽  
Gerard Feeney ◽  
Fahad Ullah ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Colorectal Surgery ◽  
Body Mass ◽  
Single Centre ◽  
Robotic Colorectal Surgery ◽  
Single Centre Experience ◽  
The Impact

LONG-TERM OUTCOMES OF LIVING KIDNEY DONORS - A SINGLE CENTRE EXPERIENCE OF 29 YEARS

2010 ◽  
Vol 90 ◽  
pp. 59
Author(s):  
K. H. chu ◽  
K. Y. poon ◽  
A. cheuk ◽  
K. F. yim ◽  
C. M. lam ◽  
...  
Keyword(s):  
Long Term Outcomes ◽  
Single Centre ◽  
Kidney Donors ◽  
Living Kidney Donors ◽  
Single Centre Experience

scholarly journals Incorporating apolipoprotein L1 testing into evaluation of potential living kidney donors: a single-centre experience

2019 ◽  
Vol 12 (4) ◽  
pp. 574-575 ◽  
Author(s):  
Jonathan Dick ◽  
Elham Asgari ◽  
Paramit Chowdhury ◽  
Anita Copley ◽  
Isobel Gordon ◽  
...  
Keyword(s):  
Single Centre ◽  
Kidney Donors ◽  
Living Kidney Donors ◽  
Single Centre Experience ◽  
Apolipoprotein L1

Long-term outcomes of living kidney donors: A single centre experience of 29 years

Nephrology ◽  
2011 ◽  
Vol 17 (1) ◽  
pp. 85-88 ◽  
Author(s):  
KWOK-HONG CHU ◽  
CLARA KA-YAN POON ◽  
CHUNG-MAN LAM ◽  
AU CHEUK ◽  
KA-FAI YIM ◽  
...  
Keyword(s):  
Long Term Outcomes ◽  
Single Centre ◽  
Kidney Donors ◽  
Living Kidney Donors ◽  
Single Centre Experience

scholarly journals The effect of body mass index at the time of donation on postoperative and remote consequences of nephrectomy in 189 living-related kidney donors

2015 ◽  
Vol 13 (3) ◽  
pp. 221-224 ◽  
Author(s):  
Walid Kerkeni ◽  
Mohamed H. Rebai ◽  
Abderrazak Bouzouita ◽  
Marouene Chakroun ◽  
Riadh Ben Slama ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Kidney Donors ◽  
Living Related

scholarly journals Do acute hospitalised patients in Australia have a different body mass index to the general Australian population: a point prevalence study?

2018 ◽  
Vol 42 (2) ◽  
pp. 121 ◽  
Author(s):  
Diane M. Dennis ◽  
Vicki Carter ◽  
Michelle Trevenen ◽  
Jacinta Tyler ◽  
Luisa Perrella ◽  
...  
Keyword(s):  
Body Mass Index ◽  
General Population ◽  
Body Mass ◽  
Obese Patients ◽  
Single Centre ◽  
Australian Population ◽  
Point Prevalence Study ◽  
Hospitalised Patients ◽  
Hospital Population ◽  
General Australian Population

Objective The aim of the present study was to provide a current snapshot of the body mass index (BMI) of the entire patient cohort of an Australian tertiary hospital on one day and compare these data with current published Australian and state (Western Australia) population norms. Methods A single-centre prospective point prevalence study was performed whereby BMI was calculated following actual measurement of patient weight (nurse) and height (physiotherapist) on one day during 2015. Variables were summarised descriptively, and one-way analysis of variance was used to investigate the relationship between continuous BMI and hospital speciality. Multivariate Cox proportional hazards regression was used to analyse the time to leaving hospital, where those who died were censored at their date of death. Results Data were collected from 416 patients (96% of the hospital population on that day). The mean (± s.e.m.) BMI across the whole hospital population was 26.6 ± 2.2 kg m–2, with 37% of patients having normal BMI, 8% being underweight, 32% being overweight, 19% being obese and 4% being severely obese. Comparison with both national and state population norms for 2014–15 reflected higher proportions of the hospital population in the underweight and extremely obese categories, and lower proportions in the overweight and obese categories. There was no significant difference in BMI across medical specialties. Conclusions Despite health warnings about the direct relationship between illness and being overweight or obese, the results of the present study reveal fewer hospitalised patients in these BMI categories and more underweight patients than in the non-hospitalised general Australian population. Being overweight or obese may offer some protection against hospitalisation, but there is a point where the deleterious effect of obesity results in more extremely obese individuals being hospitalised than the proportion represented in the general population. What is known about the topic? Although there is significant current published data relating to general Australian population BMI, there is little pertaining specifically to the hospitalised population. Accordingly, although we know that as an affluent Western country we are seeing growing rates of overweight and obese people and relatively few underweight or undernourished people in the general population, we do not know whether these trends are mirrored or magnified in those who are sick in hospital. We also know that although caring for obese patients carries a significant burden, there is the suggestion in some healthcare literature of an ‘obesity paradox’, whereby in certain disease states being overweight actually decreases mortality and promotes a faster recovery from illness compared with underweight people, who have poorer outcomes. What does this paper add? This paper is the first of its kind to actually measure and calculate the BMI of a whole tertiary Australian hospital population and provide some comparison with published Australian norms. On average, the hospital cohort was overweight, with a mean (± s.e.m.) BMI of 26.6 ± 2.2 kg m–2, but less so than the general population, which had a mean BMI of 27.5 ± 0.2 kg m–2. The results also indicate that compared with state and national norms, underweight and extremely obese patients were over-represented in the hospitalised cohort, whereas overweight or obese patients were under-represented. What are the implications for practitioners? Although only a single-centre study, the case-mix and socioeconomic catchment area of the hospital evaluated in the present study suggest that it is a typical tertiary urban West Australian facility and, as such, there may be some implications for practitioners. Primarily, administrators need to ensure that we are able to accommodate people of increasing weight in our hospital facilities and have the resources with which to do so, because, on average, hospitalised patients were overweight. In addition, resources need to be available for managing the extremely obese if numbers in this subset of the population increase. Finally, practitioners may also need to consider that although the management of underweight and undernourished patients may be less of a physical burden, there are actually more of these patients in hospital compared with the general population, and they may require a different package of resource utilisation.

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