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1.
World J Surg ; 47(12): 3281-3288, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37747548

ABSTRACT

BACKGROUND: Patients undergoing bariatric surgery have a high incidence of non-alcoholic fatty liver disease (NAFLD). However, the effect of NAFLD or non-alcoholic steatohepatitis (NASH) on the weight loss and resolution of obesity-related disorders is a matter of debate. METHODS: In this study, we compare the long-term outcomes after bariatric with the presence of NAFLD in the liver biopsy at the time of surgery. RESULTS: The follow-up was available for 226 out of 288 patients. The mean follow-up time was 24.9 (± 13.6) months. The baseline histology showed that 112 patients (38.9%) had no NASH, 70 (24.3%) were borderline, and 106 (36.8%) had NASH. At follow-up, the mean BMI dropped from (52 ± 10.2) to (36.6 ± 8) kg/m 2. Excess weight loss (EWL) was similar in all NAFLD groups. Type 2 diabetes mellitus dropped from 35.7 to 11.4%, hypertension from 65.6 to 36.7%, hyperlipidemia from 62.3 to 33%, and obstructive sleep apnea from 37.5 to 14.9%. Only hyperlipidemia was significantly associated with NASH compared to the groups with no NASH or borderline NASH (p value = 0.002 and p value = 0.04, respectively) during the first two years of follow-up. CONCLUSION: The beneficial effects of bariatric surgery are evident across all patients with NAFLD. Patients with NASH have comparable outcomes regarding weight loss and resolution of obesity-related comorbidities.


Subject(s)
Bariatric Surgery , Diabetes Mellitus, Type 2 , Hyperlipidemias , Non-alcoholic Fatty Liver Disease , Obesity, Morbid , Humans , Non-alcoholic Fatty Liver Disease/complications , Non-alcoholic Fatty Liver Disease/surgery , Diabetes Mellitus, Type 2/complications , Obesity, Morbid/complications , Obesity, Morbid/surgery , Obesity, Morbid/epidemiology , Obesity/complications , Obesity/surgery , Bariatric Surgery/adverse effects , Weight Loss , Liver/pathology
2.
PLoS One ; 18(5): e0285048, 2023.
Article in English | MEDLINE | ID: mdl-37134092

ABSTRACT

BACKGROUND: Necrotizing fasciitis (NF) is a rare but lethal soft-tissue infection. There is still a paucity of information regarding the diagnostic tools and therapeutic strategies for the treatment of this devastating disease. This study aims to identify important perioperative parameters related to necrotizing fasciitis and to assess their relevance in terms of identifying NF. METHODS AND MATERIAL: We retrospectively analyzed patients who underwent surgical exploration for suspected necrotizing fasciitis at a tertiary referral center, to explore the clinical features and factors related to the presence of necrotizing fasciitis and mortality. RESULTS: Between 2010 and 2017, 88 patients underwent surgical exploration for suspected NF. The infection occurred in the lower extremities in 48 patients, in the thoracocervical region in 18 patients, and the perineum and abdomen in 22 patients. Histological evidence of NF was present in 59 of 88 patients. NF was associated with a longer hospital stay and ICU stay (p = 0.05 and 0.019 respectively) compared to patients without NF. ROC analysis showed that only macroscopic fascial appearance could discriminate patients with histological evidence of NF. Moreover, multivariate logistic regression revealed, that liver failure (p = 0.019), sepsis (p = 0.011), positive Gram stain (p = 0.032), and macroscopic fascial appearance (p <0.001) were independent prognostic parameters for histological evidence of NF. CONCLUSION: Intraoperative tissue evaluation by an experienced surgeon is the most important diagnostic tool in identifying necrotizing fasciitis. An intraoperative Gram stain is an independent prognostic tool and therefore its use can be recommended especially in case of clinical uncertainty.


Subject(s)
Fasciitis, Necrotizing , Soft Tissue Infections , Humans , Fasciitis, Necrotizing/diagnosis , Fasciitis, Necrotizing/surgery , Soft Tissue Infections/diagnosis , Soft Tissue Infections/surgery , Soft Tissue Infections/pathology , Retrospective Studies , Prognosis , Clinical Decision-Making , Uncertainty , Risk Factors
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