ArticleMedical science monitor : international medical journal of experimental and clinical research2019
Risk Factors Influencing the Thickness and Stranding of Perinephric Fat of Mayo Adhesive Probability Score in Minimally Invasive Nephrectomy.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- Exploratory Evaluation of Combined RENAL Nephrometry and Mayo Adhesive Probability Scores for Perioperative Outcomes in Radical Nephrectomy.Diagnostics (Basel, Switzerland) · 2026Article
- Opportunistic Detection of Chronic Kidney Disease Using CT-Based Measurements of Kidney Volume and Perirenal Fat.Journal of clinical medicine · 2025Article
- Article
- Sex Difference in the Association Between Regional Adipose Tissue and Left Ventricular Hypertrophy.Journal of clinical medicine · 2025Article
- The predictive ability of Mayo adhesive probability score for evaluating intraoperative bleeding in standard percutaneous nephrolithotomy in adult patients.Urolithiasis · 2024Observational
- Clinical and Imaging Parameters Associated With Impaired Kidney Function in Patients With Acute Decompensated Heart Failure With Reduced Ejection Fraction.Journal of cardiovascular imaging · 2023Article
- Perirenal Fat and Kidney Function Deterioration in Patients With Acute Decompensated Heart Failure.International journal of heart failure · 2023Article
- Perinephric Toxic Fat: Impact on Surgical Complexity, Perioperative Outcome, and Surgical Approach in Partial Nephrectomy.Urologia internationalis · 2023Article
- Study on the correlation between preoperative inflammatory indexes and adhesional perinephric fat before laparoscopic partial nephrectomy.BMC urology · 2021Article
- Impact of the Mayo Adhesive Probability Score on Donor and Recipient Outcomes After Living-donor Kidney Transplantation: A Retrospective, Single-center Study of 782 Transplants.Transplantation direct · 2021Article
- Establishment of a novel system for the preoperative prediction of adherent perinephric fat (APF) occurrence based on a multi-mode and multi-parameter analysis of dual-energy CT.Translational andrology and urology · 2019Article
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12 authors.
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Abstract
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 AND 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 (ß=1.05 [range, 1.03-1.07], P<0.01); male gender (ß=6.06 [3.18-11.54], P<0.01), and higher body mass index (BMI) (ß=1.31 [1.21-1.41], P<0.01). Perinephric fat stranding was associated with older age (ß=1.05 [1.02-1.07], P<0.01), male gender (ß=3.64 [2.09-6.34], P<0.01) and history of diabetes (ß=2.09 [1.24-3.52], P<0.01). MAP score was associated with older age (ß=1.05 [1.03-1.07], P<0.01), male gender (ß=5.07 [2.96-8.71], P<0.01), higher BMI (ß=1.14 [1.07-1.21], P<0.01), history of diabetes (ß=1.72 [1.06-2.78], P=0.03) and alcoholism (ß=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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