de Holanda NCP, Silva TIAR, Cavalcante AG, Lacerda MB, de Oliveira Viena G, de Carvalho CC, Menezes KT, de Medeiros IRN, Sales MM, E Silva de Queiroz FR, de Arruda Castelo Branco Brito CG, Bandeira F. Prevalence of Morphometric Vertebral Fractures After Bariatric Surgery and Its Relationship with Bone Mineral Density and Bone Markers.
Obes Surg 2024;
34:733-740. [PMID:
38285298 DOI:
10.1007/s11695-023-07049-5]
[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: 05/04/2023] [Revised: 12/29/2023] [Accepted: 12/29/2023] [Indexed: 01/30/2024]
Abstract
BACKGROUND
Bariatric surgery (BS) can lead to bone loss and an increased fracture risk.
METHODS
To determine the morphometric vertebral fracture (MVF) prevalence, and its relationship with bone mineral density (BMD), and biomarker's turnover after Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG), we analyzed post-surgery X-rays of the spine in 80 patients (88% female, 51% RYGB, age 41.2 [6.8] years) from 117 participants' retrospective cohort (1-2 years, >2 and <5 years, and >5 years). We still analyzed body composition and BMD by dual-energy X-ray absorptiometry and bone parameters.
RESULTS
MVF prevalence was 17.5% (14/80), with no statistical difference between groups (p = 0.210). RYGB group had a higher prevalence of secondary hyperparathyroidism (SHPT) (PTH ≥ 65 pg/ml; 18.4% vs 7.8%, respectively, p = 0.04), PTH (61.3 vs 49.5 pg/ml, p = 0.001), CTX (0.766 [0.29] ng/ml vs 0.453 [0.30] ng/ml, p = 0.037), and AP (101.3 [62.4] U/L vs 123.9 [60.9] U/L, p = 0.027) than the SG group. Up to 5 years postoperatively, RYGB had a lower total (1.200 [0.087] vs 1.236 [0.100] g/cm2, p = 0.02), femoral neck (1.034 [0.110] vs 1.267 [0.105], p = 0.005), and total femur BMD (1.256 [0.155] vs 1.323 [0.167], p = 0.002) than SG group. We found no statistically significant difference between the MFV (+) and MVF (-) groups regarding age, sex, BMI, surgery time, BMD, or bone and metabolic parameters, including leptin.
CONCLUSION
We found a high prevalence of MVF after BS with no differences between RYGB and SG.
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