Long-term weight loss outcome of laparoscopic Roux-en-Y gastric bypass predicted by weight loss at 6 months in Chinese patients with BMI ≥ 32.5 kg/m2.
Medicine (Baltimore)
; 102(12): e33235, 2023 Mar 24.
Article
em En
| MEDLINE
| ID: mdl-36961197
ABSTRACT
Laparoscopic Roux-en-Y gastric bypass (LRYGB) is classic bariatric procedure with long-term safety and efficacy. However, no studies have focused on predicting long-term weight loss after LRYGB in Chinese patients with body mass index (BMI)â
≥â
32.5 kg/m2. To explore the relationship between initial and long-term weight loss after LRYGB in patients with BMIâ
≥â
32.5 kg/m2. All patients were followed-up to evaluate BMI, percentage of excess weight loss (%EWL), and comorbidities. Linear and logistic regression were performed to assess the relationship between initial and long-term weight loss. Receiver operating characteristic curve was used to determine optimal cutoff value. We enrolled 104 patients. The median preoperative BMI was 41.44 (37.92-47.53) kg/m2. %EWLâ
≥â
50% at 5 years was considered as successful weight loss, and 75.00% of the patients successfully lost weight. The cure rates of hypertension, hyperlipidemia, and type 2 diabetes mellitus at 1 year were 84.38%, 33.93%, and 60.82%, respectively. %EWL at 6 months and 5 years were positively correlated and its relationship could be described by following linear equation %EWL5 years = 43.934â
+â
0.356â
×â
%EWL6 months (Pâ
<â
.001; r2â
=â
0.166). The best cutoff %EWL at 6 months after LRYGB to predict 5-year successful weight loss was 63.93% (sensitivity, 53.85%; specificity, 84.62%; area under the curve (AUC)â
=â
0.671). In Chinese patients with BMIâ
≥â
32.5 kg/m2, %EWL at 6 months and 5 years were positively correlated and %EWL at 5 years could be calculated by following linear equation %EWL5 years = 43.934â
+â
0.356â
×â
%EWL6 months.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Obesidade Mórbida
/
Derivação Gástrica
/
Laparoscopia
/
Diabetes Mellitus Tipo 2
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article