Rieck JH, Heidinger H, Schlöricke E, Schmidt N, Krause S. Is Sigstad's score really capable of detecting post-surgical late dumping syndrome?
Langenbecks Arch Surg 2024;
409:94. [PMID:
38472479 DOI:
10.1007/s00423-024-03283-2]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 03/06/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND
This clinical trial explores the Sigstad score for late dumping syndrome in postoperative patients who have undergone sleeve gastrectomy (SG) or One Anastomosis Gastric Bypass (OAGB). The aims of this study are to investigate the correlations with late dumping syndrome, to evaluate the reliability and validity of the Sigstad score and to discuss a modified scoring system.
METHODS
The study was conducted at the Obesity Center of the Westküstenklinikum Heide and included 271 patients. Data collection involved conducting interviews, diet diaries and measuring blood glucose levels. Non-parametric tests, logistic regression and McDonald's Omega were the selected statistical approaches.
RESULTS
Body Mass Index (BMI) decreased over time (-9.67 kg/m2 at 4 months, -15.58 kg/m2 at 12 months). Preoperatively, the Sigstad score exhibited the highest value, and no occurrences of late dumping syndrome were observed. No significant differences were found in BMI concerning late dumping syndrome or Sigstad score among postoperative patients. Postoperative patients experienced an increase in gastrointestinal symptoms. The reliability test showed a McDonald's omega value of 0.509. The analysis conducted through binary logistic regression indicated dizziness as a significant predictor of late dumping syndrome; however, this finding did not hold up after performing Bonferroni correction.
CONCLUSION
The Sigstad score is not a reliable or valid method for detecting late dumping syndrome after surgery for obesity and metabolic disorders. It is necessary to have alternatives that use objective measures and assess the quality of life, and that these alternatives be validated in large patient cohorts.
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