| Literature DB >> 35538187 |
Janna R Raphelson1, Christopher N Schmickl2, Christine Sonners3, Kimberly Kreitinger3, Eduardo Grunvald4,5, Santiago Horgan5,6, Atul Malhotra2.
Abstract
PURPOSE: Patients with obesity and elevated serum bicarbonate suggesting obesity hypoventilation syndrome (OHS) undergoing bariatric surgery may represent a unique subgroup. Information regarding surgical outcomes in this population remains limited. We sought to test the hypothesis that an elevated bicarbonate would be an important predictor of perioperative complications (i.e., length of hospital stay) and postsurgical outcomes (i.e., weight loss at 1 year).Entities:
Keywords: Bariatric surgery; Obesity surgery; Respiratory; Weight loss
Mesh:
Substances:
Year: 2022 PMID: 35538187 PMCID: PMC9276616 DOI: 10.1007/s11695-022-06073-1
Source DB: PubMed Journal: Obes Surg ISSN: 0960-8923 Impact factor: 3.479
Fig. 1Study flowchart
General characteristics
| Based on bicarb ≥ 27 | ||||
|---|---|---|---|---|
| Characteristic | Overall, | No OHS, | OHS, | |
| Age ( | 42 (11) | 41 (11) | 44 (11) | 0.043 |
| Sex | > 0.99 | |||
| Male | 57 (19%) | 46 (19%) | 11 (19%) | |
| Female | 237 (81%) | 190 (81%) | 47 (81%) | |
| Unknown | 3 | 3 | 0 | |
| Ethnicity | 0.87 | |||
| White | 105 (35%) | 83 (35%) | 22 (38%) | |
| Black | 25 (8.4%) | 22 (9.2%) | 3 (5.2%) | |
| Asian | 8 (2.7%) | 6 (2.5%) | 2 (3.4%) | |
| Hispanic | 139 (47%) | 112 (47%) | 27 (47%) | |
| Other | 20 (6.7%) | 16 (6.7%) | 4 (6.9%) | |
| BMI (kg/m2) | 46 (8) | 46 (9) | 46 (7) | 0.65 |
| Max preop weight | 134 (28) | 135 (29) | 132 (24) | 0.57 |
| Unknown | 1 | 1 | 0 | |
| Hypertension | 0.38 | |||
| No HTN | 140 (47%) | 116 (49%) | 24 (41%) | |
| HTN | 157 (53%) | 123 (51%) | 34 (59%) | |
| Bicarbonate | 24.76 (2.11) | 24.01 (1.54) | 27.86 (1.08) | < 0.001 |
| AHI (/h) | 20 (25) | 19 (24) | 26 (29) | 0.22 |
| Unknown | 120 | 91 | 29 | |
| SpO2 Nadir (%) | 82 (8) | 82 (8) | 79 (7) | 0.044 |
| Unknown | 123 | 93 | 30 | |
1Mean (SD); n (%).2Welch two-sample t-test; Fisher’s exact test
Fig. 2Length of hospital stay in OHS vs non-OHS patients
Fig. 3Weight loss in OHS vs non-OHS patients
Fig. 4Predicted probability of OHS based on age (with 95% confidence interval)