| Literature DB >> 33885014 |
Miraheal Adadzewa Sam1, Abdulzahra Hussain2, Maya Elizabeth Pegler1, Emma Jane Bligh Pearson1, Islam Omar1, Maureen Boyle1, Rishi Singhal3, Kamal Mahawar1.
Abstract
CONTEXT: Some studies have shown that one anastomosis gastric bypass (OAGB) results in the derangement of liver function tests (LFTs). We wanted to study this in our patients. AIMS: The aims are to study the effect of OAGB on LFTs and to compare the effect of a biliopancreatic limb (BPL) of 150 cm (OAGB-150) to a BPL of 200 cm (OAGB-200). SETTINGS ANDEntities:
Keywords: Bariatric surgery; biliopancreatic limb length; liver function tests; mini-gastric bypass; obesity surgery; omega-loop gastric bypass; one anastomosis gastric bypass; single anastomosis gastric bypass
Year: 2022 PMID: 33885014 PMCID: PMC8830576 DOI: 10.4103/jmas.JMAS_249_20
Source DB: PubMed Journal: J Minim Access Surg ISSN: 1998-3921 Impact factor: 1.407
STROBE Statement – Checklist
| Items | Item number | Recommendation | |
|---|---|---|---|
| Title and abstract | 1 | (a) Indicate the study’s design with a commonly used term in the title or the abstract | ✓ |
| (b) Provide in the abstract an informative and balanced summary of what was done and what was found | ✓ | ||
| Introduction | |||
| Background/rationale | 2 | Explain the scientific background and rationale for the investigation being reported | ✓ |
| Objectives | 3 | State specific objectives, including any pre-specified hypotheses | ✓ |
| Methods | |||
| Study design | 4 | Present key elements of study design early in the paper | ✓ |
| Setting | 5 | Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up and data collection | ✓ |
| Participants | 6 | (a) Cohort study – Give the eligibility criteria and the sources and methods of selection of participants. Describe methods of follow-up | ✓ |
| (b) Cohort study – For matched studies, give matching criteria and number of exposed and unexposed | |||
| Variables | 7 | Clearly define all outcomes, exposures, predictors, potential confounders and effect modifiers. Give diagnostic criteria, if applicable | ✓ |
| Data sources/measurement | 8* | For each variable of interest, give sources of data and details of methods of assessment (measurement). Describe comparability of assessment methods if there is more than one group | ✓ |
| Bias | 9 | Describe any efforts to address potential sources of bias | ✓ |
| Study size | 10 | Explain how the study size was arrived at | |
| Quantitative variables | 11 | Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why | ✓ |
| Statistical methods | 12 | (a) Describe all statistical methods, including those used to control for confounding | ✓ |
| (b) Describe any methods used to examine subgroups and interactions | ✓ | ||
| (c) Explain how missing data were addressed | ✓ | ||
| (d) Cohort study – If applicable, explain how loss to follow-up was addressed | |||
| (e) Describe any sensitivity analyses | NA | ||
| Results | |||
| Participants | 13* | (a) Report numbers of individuals at each stage of study – for example, numbers potentially eligible, examined for eligibility, confirmed eligible, included in the study, completing follow-up and analysed | ✓ |
| (b) Give reasons for non-participation at each stage | ✓ | ||
| (c) Consider use of a flow diagram | NA | ||
| Descriptive data | 14* | (a) Give characteristics of study participants (e.g. demographic, clinical, social) and information on exposures and potential confounders | ✓ |
| (b) Indicate number of participants with missing data for each variable of interest | ✓ | ||
| (c) Cohort study – Summarise follow-up time (e.g. average and total amount) | ✓ | ||
| Outcome data | 15* | Cohort study – Report numbers of outcome events or summary measures over time | |
| Case–control study – Report numbers in each exposure category, or summary measures of exposure | NA | ||
| Cross-sectional study – Report numbers of outcome events or summary measures | NA | ||
| Main results | 16 | (a) Give unadjusted estimates and, if applicable, confounder-adjusted estimates and their precision (e.g. 95% confidence interval). Make clear which confounders were adjusted for and why they were included | ✓ |
| (b) Report category boundaries when continuous variables were categorised | NA | ||
| (c) If relevant, consider translating estimates of relative risk into absolute risk for a meaningful time period | NA | ||
| Other analyses | 17 | Report other analyses done – e.g., analyses of subgroups and interactions and sensitivity analyses | ✓ |
| Discussion | |||
| Key results | 18 | Summarise key results with reference to study objectives | ✓ |
| Limitations | 19 | Discuss limitations of the study, taking into account sources of potential bias or imprecision. Discuss both direction and magnitude of any potential bias | ✓ |
| Interpretation | 20 | Give a cautious overall interpretation of results considering objectives, limitations, multiplicity of analyses, results from similar studies, and other relevant evidence | ✓ |
| Generalisability | 21 | Discuss the generalisability (external validity) of the study results | ✓ |
| Other information | |||
| Funding | 22 | Give the source of funding and the role of the funders for the present study and, if applicable, for the original study on which the present article is based |
*Significance set at P value <0.05
Liver function tests in the one anastomosis gastric bypass-200 group at 1 and 2 years follow-up compared to the pre-operative values
| Pre-operative | 1-year |
| 95% CI | 2-year |
| 95% CI | |
|---|---|---|---|---|---|---|---|
| Mean bilirubin | 9.08±4.68 | 10±7.61 | 0.0940 | −2.19–0.17 | 8.37±5.04 | 0.08261 | −0.28–1.69 |
| Abnormal bilirubin (%) | 3 (1.35) | 8 (3.73) | 0.1346 | NA | 4 (2.53) | 0.4562 | NA |
| Mean GGT | 37.99±29.05 | 27.33±32.32 | 0.0003* | 4.89–16.43 | 26.28±33.0 | 0.0003* | 5.44–17.98 |
| Abnormal GGT (%) | 38 (17.04) | 21 (9.85) | 0.0352* | NA | 13 (8.17) | 0.0142* | NA |
| Mean AST | 23.63±11.46 | 28.5±41.22 | 0.1025 | −10.72–0.98 | 25.34±10.26 | 0.1661 | −4.13–0.71 |
| Abnormal AST (%) | 14 (6.76) | 15 (7.5) | 0.8482 | NA | 10 (7.75) | 0.8282 | NA |
| Mean ALT | 30.34±27.52 | 30.63±45.60 | 0.9360 | −7.33–6.76 | 28.11±21.41 | 0.3954 | −2.92–7.37 |
| Abnormal ALT (%) | 35 (15.69) | 27 (12.79) | 0.4128 | NA | 20 (12.65) | 0.4608 | NA |
| Mean ALP | 80.50±24.69 | 90.14±28.57 | 0.0002* | −14.65–−4.64 | 90.13±32.81 | 0.0012* | −15.41–−3.84 |
| Abnormal ALP (%) | 8 (3.57) | 16 (7.47) | 0.0929 | NA | 13 (8.22) | 0.0672 | NA |
| Mean albumin | 45.75±3.15 | 43.2±3.53 | <0.0001* | 1.922–3.178 | 43.39±3.67 | <0.0001* | 1.670–3.046 |
| Abnormal albumin (%) | 0 (0) | 3 (1.39) | 0.1174 | NA | 4 (2.53) | 0.0289* | NA |
*Significant difference. GGT: Gamma glutamyl-transpeptidase, AST: Aspartate transaminase, ALT: Alanine transaminase, ALP: Alkaline phosphatase
Liver function tests in the one anastomosis gastric bypass-150 group at 1 and 2 years of follow-up compared to the pre-operative values
| Pre-operative | 1-year |
| 95% CI | 2-year |
| 95% CI | |
|---|---|---|---|---|---|---|---|
| Mean bilirubin | 8.18±5.62 | 8.52±4.38 | 0.5456 | −1.42–0.75 | 8.22±5.28 | 0.9505 | −1.30–1.22 |
| Abnormal bilirubin (%) | 3 (1.79%) | 3 (1.85%) | 1.0000 | NA | 3 (2.34%) | 1.0000 | NA |
| GGT | 37.79±30.49 | 24.33±37.41 | 0.0004* | 6.11–20.80 | 22.69±23.04 | 0.0001* | NA |
| Abnormal GGT (%) | 27 (16.16%) | 9 (5.48%) | 0.0023* | NA | 7 (5.38%) | 0.0052* | NA |
| AST | 24.45±12.65 | 24.24±20.41 | 0.9139 | −3.57–3.98 | 24.83±10.39 | 0.8003 | −3.31–2.56 |
| Abnormal AST (%) | 13 (8.28%) | 10 (6.62%) | 0.6670 | NA | 6 (5.76%) | 0.6274 | NA |
| ALT | 31.63±22.06 | 24.63±13.77 | 0.0006* | 3.02–10.99 | 27.36±16.08 | 0.0639 | −0.25–8.79 |
| Abnormal ALT (%) | 31 (18.52%) | 16 (9.87%) | 0.0276* | NA | 17 (13.07%) | 0.2659 | NA |
| ALP | 75.69±19.97 | 89.07±26.81 | 0.0001* | −18.47–−8.28 | 83.79±21.72 | 0.0009* | −12.85–−3.35 |
| Abnormal ALP (%) | 2 (1.19%) | 7 (4.34%) | 0.0991 | NA | 2 (1.53%) | 1.0000 | NA |
| Albumin | 45.13±2.87 | 43.55±3.14 | 0.0001* | 0.930–2.224 | 43.68±3.43 | 0.0001* | 0.731–2.164 |
| Abnormal albumin (%) | 1 (0.58%) | 2 (1.21%) | 0.6183 | NA | 3 (2.29%) | 0.3208 | NA |
*Significant difference. GGT: Gamma glutamyl-transpeptidase; AST: Aspartate transaminase; ALT: Alanine transaminase; ALP: Alkaline phosphatase
Comparison of basic demographics and weight parameters between one anastomosis gastric bypass-200 and one anastomosis gastric bypass-150 groups
| Categories | OAGB-200 | OAGB-150 |
| 95% CI |
|---|---|---|---|---|
|
| 234 | 171 | ||
| Mean age | 46.01±11.07 | 46.44±10.92 | 0.6977 | −2.60–1.74 |
| Females (%) | 154 (65.8%) | 121 (70.7%) | ||
| Pre-operative weight | 142.18±32.97 | 134.47±24.68 | 0.0102* | 1.836–13.601 |
| Pre-operative BMI | 49.91±8.71 | 47.76±7.06 | 0.0086* | 0.548–3.734 |
| Weight loss (kg) at 1 year | 51.86±18.74 | 45.33±16.42 | 0.0004* | 2.913–10.157 |
| %EWL at 1 year | 76.23±21.77% | 72.70±20.34 | 0.1077 | −0.776–7.847 |
| %TWL at 1 year | 36.32±9.15 | 33.30±8.45 | 0.0011* | 1.212–4.821 |
| Weight loss (kg) at 2 years | 51.19±19.15 | 45.63±17.52 | 0.0079* | 1.471–9.666 |
| %EWL at 2 years | 76.46±20.10 | 75.02±21.35 | 0.5335 | −3.112–5.999 |
| %TWL at 2 years | 36.15±9.19 | 34.12±9.49 | 0.0530 | −0.026–4.091 |
*Significant difference. EWL: Excess weight loss, TWL: Total weight loss, BMI: Body mass index
Comparison of liver parameters between one anastomosis gastric bypass-200 and one anastomosis gastric bypass-150 groups
| Categories | OAGB-200 | OAGB-150 |
| 95% CI |
|---|---|---|---|---|
| Pre-operative mean bilirubin | 9.08±4.68 | 8.18±5.62 | 0.0855 | −0.13–1.92 |
| 1-year mean bilirubin | 10.09±7.61 | 8.52±4.38 | 0.0188* | 0.26–2.88 |
| 2-year mean bilirubin | 8.37±5.04 | 8.22±5.28 | 0.8081 | −1.05–1.35 |
| Pre-operative abnormal bilirubin | 3 (1.35) | 3 (1.79%) | 1.0000 | NA |
| 1-year abnormal bilirubin | 8 (3.73) | 3 (1.85%) | 0.3632 | NA |
| 2-year abnormal bilirubin | 4 (2.53) | 3 (2.34%) | 1.0000 | NA |
| Pre-operative mean GGT | 37.99±29.05 | 37.79±30.49 | 0.9462 | −5.74–6.15 |
| 1-year mean GGT | 27.33±32.32 | 24.33±37.41 | 0.4038 | −4.06–10.07 |
| 2-year mean GGT | 26.28±33.01 | 22.69±23.04 | 0.2952 | −3.15–10.33 |
| Pre-operative abnormal GGT | 38 (17.04) | 27 (16.16) | 0.8911 | NA |
| 1-year abnormal GGT | 21 (9.85) | 9 (5.48) | 0.1294 | NA |
| 2-year abnormal GGT | 13 (8.17) | 7 (5.38) | 0.4856 | NA |
| Pre-operative mean AST | 23.63±11.46 | 24.45±12.65 | 0.5170 | −3.31–1.67 |
| 1-year mean AST | 28.50±41.22 | 24.24±20.41 | 0.2418 | −2.88–11.40 |
| 2-year mean AST | 25.34±10.26 | 24.83±10.39 | 0.7067 | −2.16–3.19 |
| Pre-operative abnormal AST | 14 (6.76) | 13 (8.28%) | 0.6872 | NA |
| 1-year abnormal AST | 15 (7.5) | 10 (6.62%) | 0.8357 | NA |
| 2-year abnormal AST | 10 (7.75) | 6 (5.76%) | 0.6112 | NA |
| Pre-operative mean ALT | 30.34±27.52 | 31.63±22.06 | 0.6163 | −6.37–3.78 |
| 1-year mean ALT | 30.63±45.60 | 24.63±13.77 | 0.1052 | −1.27–13.27 |
| 2-year mean ALT | 28.11±21.41 | 27.36±16.08 | 0.7408 | −3.72–5.22 |
| Pre-operative abnormal ALT | 35 (15.69) | 31 (18.52%) | 0.4960 | NA |
| 1-year abnormal ALT | 27 (12.79) | 16 (9.87) | 0.4170 | NA |
| 2-year abnormal ALT | 20 (12.65) | 17 (13.07) | 1.0000 | NA |
| Pre-operative mean ALP | 80.50±24.69 | 75.69±19.97 | 0.0390* | 0.24–9.37 |
| 1-year mean ALP | 90.14±28.57 | 89.07±26.81 | 0.7097 | −4.61–6.76 |
| 2-year mean ALP | 90.13±32.81 | 83.79±21.72 | 0.0595 | −0.26–12.92 |
| Pre-operative abnormal ALP | 8 (3.57) | 2 (1.19) | 0.1990 | NA |
| 1-year abnormal ALP | 16 (7.47) | 7 (4.34) | 0.2779 | NA |
| 2-year abnormal ALP | 13 (8.22) | 2 (1.53) | 0.0143* | NA |
| Pre-operative mean albumin | 45.75±3.15 | 45.13±2.87 | 0.0472* | 0.008–1.222 |
| 1-year mean albumin | 43.20±3.53 | 43.55±3.14 | 0.3051 | −1.044–0.328 |
| 2-year mean albumin | 43.39±3.65 | 43.68±3.43 | 0.4826 | −1.122–0.531 |
| Pre-operative abnormal albumin | 0 (0) | 1 (0.58) | 0.4326 | NA |
| 1-year abnormal albumin | 3 (1.39) | 2 (1.21) | 1.0000 | NA |
| 2-year abnormal albumin | 4 (2.53) | 3 (2.29) | 1.0000 | NA |
*Significant difference. GGT: Gamma-glutamyl transpeptidase, AST: Aspartate transaminase, ALT: Alanine transaminase, ALP: Alkaline phosphatase