Introduction: The influence of preoperative obesity in liver transplanted patients remains undetermined.
Objective: To analyze the survival of obese patients undergoing liver transplantation.
Methods: We calculated the body mass index (BMI; kg/m2) of 244 liver transplantation patients. All transplantations were performed from September 1991 to December 2006. The patients were divided according to the BMI values: nonobese (NO) patients (BMI<30) and obese (O) patients (BMI>30). Pre- and postoperative data were used. The following statistical tests were employed: Student's t test, Kaplan-Meier survival, and Cox-Mantel tests.
Results: Group O was composed of 38 individuals (15.3%) with BMI of 33.1, and the BMI of NO was 24. Group O showed an average age of 50.1 years and group NO, 45.5 years (P<.05). Group O postoperative creatinine was higher (P=.001). Both groups had similar MELD scores with an average of 17.5+/-5.9. According to the Child-Pugh classification, group NO included 140 (69.6%) B and 61 (30.3%) C patients; group O, 8 (21%) B and 30 (79%) C patients. There were no significant differences between the groups when comparing cold and warm ischemia times, surgical times, intensive care stay, or blood requirements. The actuarial survivals after 1 and 5 years were 61.3% and 51% for group O and 68% and 47% for NO group (P>.05). A Cox proportional hazard analysis showed that the survival time in this study was related to red blood cell transfusions, recipient sodium, MELD score, donor sodium, and age. Recipient age was a main factor in multiple regression analysis for obese patients in this study.
Conclusion: There was no significant difference between O and NO for the 1-year and long-term survivals, but older patients displayed lower survival times.
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http://dx.doi.org/10.1016/j.transproceed.2007.08.101 | DOI Listing |
Arq Bras Cir Dig
January 2025
Universidade de São Paulo, Faculty of Medicine, Department of Gastroenterology - São Paulo (SP), Brazil.
Background: Obesity is a predisposing factor for serious comorbidities, particularly those related to elevated cardiovascular mortality. The atherogenic index of plasma (AIP) has been shown to be a useful indicator of patients with insulin resistance.
Aims: The aim of this study was to assess cardiovascular risk before and after surgical treatment of obesity.
JAMA Dermatol
January 2025
Department of Dermatology, School of Medicine, University of North Carolina at Chapel Hill.
Importance: Surgery is frequently required for hidradenitis suppurativa (HS) treatment, but the impact of common comorbidities such as obesity, diabetes, and smoking on outcomes has been sparsely studied.
Observations: A total of 12 studies met final inclusion criteria for investigating complication rates associated with at least 1 comorbidity. Complication rates were associated with obesity in 3 of 10 studies.
JAMA Netw Open
January 2025
Department of Pediatrics, The Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, New York.
Importance: Pediatric obesity and hypertension are highly correlated. To mitigate both conditions, provision of counseling on nutrition, lifestyle, and weight to children with high blood pressure (BP) measurements is recommended.
Objective: To examine racial and ethnic disparities in receipt of nutrition, lifestyle, and weight counseling among patients with high BP at pediatric primary care visits stratified by patients' weight status.
Qual Life Res
January 2025
Department of Health Psychology, Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 1, 9713 AV, Groningen, The Netherlands.
Purpose: This study aimed to identify trajectories of BMI, obesity-specific health-related quality of life (HR-QoL), and depression trajectories from pre-surgery to 24 months post-bariatric metabolic surgery (BMS), and explore their associations, addressing subgroup differences often hidden in group-level analyses.
Method: Patients with severe obesity (n = 529) reported their HR-QoL and depression before undergoing BMS, and at 12 and 24 months post-operation. Latent Class Growth Analysis was used to identify trajectories of BMI, HR-QoL and depression.
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