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Risk Factors Influencing the Thickness and Stranding of Perinephric Fat of Mayo Adhesive Probability Score in Minimally Invasive Nephrectomy

BACKGROUND: Mayo adhesive probability (MAP) score, an accurate and reliable predictor of adherent perinephric fat (APF), consists of posterior perinephric fat thickness and perinephric fat stranding. The present study aimed to identify the potential clinical characteristics associated with these 2 v...

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Autores principales: Yao, Yuanxin, Gong, Huijie, Pang, Yuewen, Gu, Liangyou, Niu, Shaoxi, Xu, Yansheng, Li, Pin, Liu, Kan, Tang, Lu, Xuan, Yundong, Gao, Yu, Zhang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543873/
https://www.ncbi.nlm.nih.gov/pubmed/31118409
http://dx.doi.org/10.12659/MSM.916359
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author Yao, Yuanxin
Gong, Huijie
Pang, Yuewen
Gu, Liangyou
Niu, Shaoxi
Xu, Yansheng
Li, Pin
Liu, Kan
Tang, Lu
Xuan, Yundong
Gao, Yu
Zhang, Xu
author_facet Yao, Yuanxin
Gong, Huijie
Pang, Yuewen
Gu, Liangyou
Niu, Shaoxi
Xu, Yansheng
Li, Pin
Liu, Kan
Tang, Lu
Xuan, Yundong
Gao, Yu
Zhang, Xu
author_sort Yao, Yuanxin
collection PubMed
description BACKGROUND: Mayo adhesive probability (MAP) score, an accurate and reliable predictor of adherent perinephric fat (APF), consists of posterior perinephric fat thickness and perinephric fat stranding. The present study aimed to identify the potential clinical characteristics associated with these 2 variables to further our understanding of APF. MATERIAL/METHODS: Clinical data of 346 patients subjected to minimally invasive nephrectomy was collected within our prospectively maintained database, between January 2015 and December 2016. Radiological data was assessed by 2 readers in an independent blinded – to each other and APF patient status – fashion. Ordinal logistic regression analyses were performed to evaluate risk factors of posterior perinephric fat thickness and perinephric fat stranding. RESULTS: On multivariate analysis, posterior perinephric fat thickness was associated with older age (b=1.05 [range, 1.03–1.07], P<0.01); male gender (b=6.06 [3.18–11.54], P<0.01), and higher body mass index (BMI) (b=1.31 [1.21–1.41], P<0.01). Perinephric fat stranding was associated with older age (b=1.05 [1.02–1.07], P<0.01), male gender (b=3.64 [2.09–6.34], P<0.01) and history of diabetes (b=2.09 [1.24–3.52], P<0.01). MAP score was associated with older age (b=1.05 [1.03–1.07], P<0.01), male gender (b=5.07 [2.96–8.71], P<0.01), higher BMI (b=1.14 [1.07–1.21], P<0.01), history of diabetes (b=1.72 [1.06–2.78], P=0.03) and alcoholism (b=1.88 [1.10–3.20], P=0.02). CONCLUSIONS: The current study highlights that different risk factors influence the posterior perinephric fat thickness and perinephric fat stranding. Posterior perinephric fat thickness was correlated with age, gender, and BMI, while perinephric fat stranding was associated with age, gender, and history of diabetes.
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spelling pubmed-65438732019-06-13 Risk Factors Influencing the Thickness and Stranding of Perinephric Fat of Mayo Adhesive Probability Score in Minimally Invasive Nephrectomy Yao, Yuanxin Gong, Huijie Pang, Yuewen Gu, Liangyou Niu, Shaoxi Xu, Yansheng Li, Pin Liu, Kan Tang, Lu Xuan, Yundong Gao, Yu Zhang, Xu Med Sci Monit Clinical Research BACKGROUND: Mayo adhesive probability (MAP) score, an accurate and reliable predictor of adherent perinephric fat (APF), consists of posterior perinephric fat thickness and perinephric fat stranding. The present study aimed to identify the potential clinical characteristics associated with these 2 variables to further our understanding of APF. MATERIAL/METHODS: Clinical data of 346 patients subjected to minimally invasive nephrectomy was collected within our prospectively maintained database, between January 2015 and December 2016. Radiological data was assessed by 2 readers in an independent blinded – to each other and APF patient status – fashion. Ordinal logistic regression analyses were performed to evaluate risk factors of posterior perinephric fat thickness and perinephric fat stranding. RESULTS: On multivariate analysis, posterior perinephric fat thickness was associated with older age (b=1.05 [range, 1.03–1.07], P<0.01); male gender (b=6.06 [3.18–11.54], P<0.01), and higher body mass index (BMI) (b=1.31 [1.21–1.41], P<0.01). Perinephric fat stranding was associated with older age (b=1.05 [1.02–1.07], P<0.01), male gender (b=3.64 [2.09–6.34], P<0.01) and history of diabetes (b=2.09 [1.24–3.52], P<0.01). MAP score was associated with older age (b=1.05 [1.03–1.07], P<0.01), male gender (b=5.07 [2.96–8.71], P<0.01), higher BMI (b=1.14 [1.07–1.21], P<0.01), history of diabetes (b=1.72 [1.06–2.78], P=0.03) and alcoholism (b=1.88 [1.10–3.20], P=0.02). CONCLUSIONS: The current study highlights that different risk factors influence the posterior perinephric fat thickness and perinephric fat stranding. Posterior perinephric fat thickness was correlated with age, gender, and BMI, while perinephric fat stranding was associated with age, gender, and history of diabetes. International Scientific Literature, Inc. 2019-05-23 /pmc/articles/PMC6543873/ /pubmed/31118409 http://dx.doi.org/10.12659/MSM.916359 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Clinical Research
Yao, Yuanxin
Gong, Huijie
Pang, Yuewen
Gu, Liangyou
Niu, Shaoxi
Xu, Yansheng
Li, Pin
Liu, Kan
Tang, Lu
Xuan, Yundong
Gao, Yu
Zhang, Xu
Risk Factors Influencing the Thickness and Stranding of Perinephric Fat of Mayo Adhesive Probability Score in Minimally Invasive Nephrectomy
title Risk Factors Influencing the Thickness and Stranding of Perinephric Fat of Mayo Adhesive Probability Score in Minimally Invasive Nephrectomy
title_full Risk Factors Influencing the Thickness and Stranding of Perinephric Fat of Mayo Adhesive Probability Score in Minimally Invasive Nephrectomy
title_fullStr Risk Factors Influencing the Thickness and Stranding of Perinephric Fat of Mayo Adhesive Probability Score in Minimally Invasive Nephrectomy
title_full_unstemmed Risk Factors Influencing the Thickness and Stranding of Perinephric Fat of Mayo Adhesive Probability Score in Minimally Invasive Nephrectomy
title_short Risk Factors Influencing the Thickness and Stranding of Perinephric Fat of Mayo Adhesive Probability Score in Minimally Invasive Nephrectomy
title_sort risk factors influencing the thickness and stranding of perinephric fat of mayo adhesive probability score in minimally invasive nephrectomy
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543873/
https://www.ncbi.nlm.nih.gov/pubmed/31118409
http://dx.doi.org/10.12659/MSM.916359
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