Obesity Sleeve Gastrectomy
Description
This dataset contains anonymized clinical and laboratory data from a retrospective observational cohort of 340 adult women who underwent laparoscopic sleeve gastrectomy between 2020 and 2025 in southern Brazil. The data were collected from routine clinical follow-up and were used to investigate interval-based biochemical trajectories across the first postoperative year. Biochemical measurements were organized into five predefined clinical intervals: a preoperative baseline (0 days) and postoperative assessments at approximately 40, 120, 180, and 365 days after surgery. Due to heterogeneity in real-world follow-up schedules, the dataset was structured using an interval-based analytical framework, in which each participant contributes data to one or more postoperative intervals, without requiring complete longitudinal follow-up at the individual level. The dataset includes a comprehensive multisystem biochemical panel covering hematologic parameters, iron metabolism, protein markers, vitamins and minerals, metabolic markers, hepatic enzymes, inflammatory markers, and renal and endocrine indicators. Variables include, but are not limited to, hemoglobin, hematocrit, red blood cell indices, serum iron, ferritin, albumin, total protein, globulins, folate, vitamin B12, vitamin D, zinc, calcium, fasting glucose, lipid profile, liver enzymes (AST, ALT, GGT), C-reactive protein, creatinine, thyroid-stimulating hormone, and free thyroxine. All laboratory analyses were performed in accredited clinical laboratories as part of standard postoperative care, using validated analytical methods. No protocol-driven sampling or experimental intervention was conducted. Data were fully de-identified prior to analysis, and no personal identifiers are included in the dataset. This dataset supports the analyses presented in the associated manuscript entitled “Integrated Metabolic and Micronutrient Dynamics Across the First Postoperative Year: Interval-Based Profiling in 340 Brazilian Women Undergoing Sleeve Gastrectomy” . It is intended to facilitate reproducibility, secondary analyses, and comparative research on metabolic and nutritional adaptations following bariatric surgery in real-world clinical settings.
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Steps to reproduce
The dataset was generated through a retrospective observational workflow based exclusively on routine clinical care following laparoscopic sleeve gastrectomy. Data were obtained in collaboration with a specialized bariatric surgery clinic in southern Brazil and extracted from electronic medical records of women aged 18–50 years who underwent surgery between 2020 and 2025. No experimental intervention, protocol-driven sampling, or additional laboratory testing was performed for research purposes. Surgical date was used as the temporal reference to classify laboratory results into predefined clinical intervals. An interval-based analytical framework was adopted to reflect real-world heterogeneity in postoperative follow-up. Five intervals were defined a priori: preoperative (0 days) and postoperative assessments at 40, 120, 180, and 365 days after surgery. Participants were required to have at least one complete laboratory panel within any interval; complete longitudinal follow-up was not mandatory. Laboratory results were assigned to the closest interval based on elapsed days since surgery. All biochemical data were derived from routine postoperative laboratory tests requested by attending physicians and performed in accredited clinical laboratories certified under Brazilian regulatory standards (ANVISA RDC No. 302/2005), using validated automated analyzers and standardized assays. The dataset includes multisystem biochemical markers encompassing hematology, iron metabolism, protein status, vitamins and minerals, metabolic markers, hepatic enzymes, inflammatory status, and renal and endocrine function. Data extraction involved manual verification of clinical timelines and laboratory values. All personal identifiers were removed prior to analysis, and participants were assigned anonymized codes. Quality control procedures included verification of units, detection of implausible values, and consistency checks between surgery dates and laboratory assessments. Supplementation prescribed during clinical follow-up (e.g., intravenous iron or vitamin replacement) occurred after laboratory measurements and was not treated as a data-generating variable. Data processing and statistical analyses were performed using R software (version 4.5.1). Continuous variables were inspected for distributional properties and standardized when required. Multivariate analyses were conducted using distance-based approaches, including permutational multivariate analysis of variance and principal coordinates analysis, supported by established R packages. Although the original clinical cohort cannot be recreated, the data-generation workflow is fully reproducible by applying the same interval-based framework, variable definitions, and analytical procedures to comparable postoperative bariatric cohorts.