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Journal of Minimal Access Surgery logoLink to Journal of Minimal Access Surgery
. 2021 Mar 8;18(1):38–44. doi: 10.4103/jmas.JMAS_249_20

Effect of one anastomosis gastric bypass on liver function tests: A comparison between 150 cm and 200 cm biliopancreatic limbs

Miraheal Adadzewa Sam 1, Abdulzahra Hussain 2, Maya Elizabeth Pegler 1, Emma Jane Bligh Pearson 1, Islam Omar 1, Maureen Boyle 1, Rishi Singhal 3, Kamal Mahawar 1,
PMCID: PMC8830576  PMID: 33885014

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 and Design:

The study was a retrospective cohort study conducted at a university hospital.

Materials and Methods:

Information was obtained from our prospectively maintained database and hospital's computerised records.

Statistical Analysis:

A P < 0.05 was regarded statistically significant; however, given the number of variables examined, findings should be regarded as exploratory.

Results:

A total of 405 patients underwent an OAGB-200 (n = 234) or OAGB-150 (n = 171) in our unit between October 2012 and July 2018. There were significant improvements in gamma-glutamyl transpeptidase (GGT) levels at 1 and 2 years after OAGB-200 and significant worsening in the levels of alkaline phosphatase (ALP) and albumin at 1 and 2 years. There was a significant improvement in GGT levels at 1 and 2 years after OAGB-150 and in alanine transaminase levels at 1 year. There was a significant worsening in ALP and albumin levels at both follow-up points in this group. OAGB-150 group had a significantly lower bilirubin level at 1 year and significantly fewer abnormal ALP values at 2 years in comparison with OAGB-200 patients.

Conclusions:

This exploratory study demonstrates the overall safety of OAGB with regard to its effect on LFTs, with no remarkable difference between OAGB-150 and OAGB-200.

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

INTRODUCTION

One anastomosis gastric bypass (OAGB) is gaining in popularity in most parts of the world and is widely regarded as a mainstream primary bariatric procedure with satisfactory outcomes.[1,2] At the same time, this procedure has been the focus of many controversies almost from its inception.[3,4]

One of the controversial aspects of this procedure is a significant risk of severe protein-calorie malnutrition in approximately 1.0% of the patients.[5] It has resulted in liver failure and even deaths.[6,7] The incidence of this complication appears to be related to the length of the biliopancreatic limb (BPL).[8] This observation has led to the suggestion that the length of the BPL with an OAGB should not be longer than 150 cm,[9] especially because a BPL of 150 cm delivers satisfactory weight loss outcomes[10] that are similar to that with a BPL of 200 cm.[11]

Although there have been some studies examining the impact of OAGB on the liver function tests (LFTs), there is no study in the scientific literature comparing the effect of OAGB-200 and OABG-150 on LFTs. Eilenberg et al.[12] have reported severe liver dysfunction after OAGB. Most of these patients had a BPL of >150 cm. Spivak et al.[13] found from their national registry analysis that OAGB has a negative effect on liver enzymes at 1-year follow-up with a BPL of 200 cm. Similarly, Kruschitz et al.[14] also found transient deterioration in several liver parameters in the 1styear after surgery with a BPL of 200 cm.

At the same time, Salman et al.[15] reported not only substantial improvement in liver enzymes but also a significant improvement in histological features of non-alcoholic fatty liver disease 15 months after an OAGB performed with a BPL of 200 cm. In this study, non-alcoholic steatohepatitis disappeared in 42.0% of the patients and a significant regression in fibrosis was observed in 79.1% of the patients.

Aside from this controversy regarding the effect of an OAGB performed with a BPL of 200 cm on LFTs, there are virtually no data on the effect of an OAGB with a BPL of 150 cm on LFTs. The purpose of this pilot study was to separately study the effect of OAGB with a BPL of 200 cm or 150 cm on LFTs and also examine if there was any difference between the two limb lengths with regard to the effect on LFTs following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. We hypothesised that because of the associated weight loss, OAGB would improve the LFTs, not worsen them; and that OAGB with a BPL of 150 cm would deliver better outcomes than OAGB with 200 cm.

MATERIALS AND METHODS

Study design

We conducted a retrospective, cohort, pilot study to examine the effect of OAGB on LFTs in patients undergoing primary OAGB and then compared the outcomes in patients who had a BPL of 200 cm with those that had a BPL of 150 cm following the STROBE guidelines [Supplementary Data 1] provides the full STROBE compliance checklist]. The data were obtained from our database, hospital's computerised records, and case notes as and when necessary. Data were collected for 12 ± 4 months (1-year data) and 24 ± 4 months (2-year data) after the surgery.

Supplementary Data 1.

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
Case–control study – Give the eligibility criteria and the sources and methods of case ascertainment and control selection. Give the rationale for the choice of cases and controls
Cross-sectional study – Give the eligibility criteria, and the sources and methods of selection of participants
(b) Cohort study – For matched studies, give matching criteria and number of exposed and unexposed
Case–control study – For matched studies, give matching criteria and the number of controls per case
 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
Case–control study – If applicable, explain how matching of cases and controls was addressed
Cross-sectional study – If applicable, describe analytical methods taking account of sampling strategy
(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

Setting

The study was conducted in a large bariatric unit in a university-affiliated tertiary care hospital in the United Kingdom. All patients who underwent a primary OAGB in our unit between October 2012 and July 2018 were included in the study.

Participants

The study participants were patients who underwent a primary OAGB in our unit between October 2012 (when we performed our first OAGB procedure) and July 2018 (to allow for a follow-up of 24 months for all patients). We then separated these patients into two groups. The first group consisted of patients who underwent an OAGB with a BPL of 200 cm (OAGB-200) and the second group included patients who underwent an OAGB with a BPL of 150 cm (OAGB-150). Patients undergoing a revisional OAGB (conversion from a previous gastric band or sleeve) and patients who underwent an OAGB with a BPL other than 200 cm or 150 cm (n = 6) were excluded from the analysis. The technique of the procedure and the post-operative protocol have been described previously.[11]

Variables examined

We compared the demographic characteristics, BPL, weight loss and LFTS between both groups. The normal values for various LFTs in our hospital laboratory are as follows: bilirubin - 0–21 μmol/L; gamma-glutamyl transpeptidase (GGT) - 0–70 IU/L; aspartate transaminase (AST) - 0–40 IU/L; alanine transaminase (ALT) - 0–40 IU/L; alkaline phosphatase (ALP) - 30–130 IU/L and albumin - 35–50 g/L. We also evaluated weight loss as that can affect LFTs. Potential confounders that were not examined were alcohol intake, use of other drugs that would impact LFTs and the presence or absence of gall stones.

Data source/bias

Data were collected from our hospital's computerised records and patient case notes as and when necessary. It is our routine practice to check pre-operative and post-operative LFTs at all follow-up points for all patients. This would minimise bias. There is no difference in data collection or follow-up protocols in the OAGB200 and OAGB150 groups. The only difference was that surgeons would have chosen a different limb length. The potential discrepancy in the measurement of small bowel lengths amongst surgeons is another source of bias but that would apply equally to both the groups. The concept of precise length cannot be applied to a stretchable human organ, like small bowel. Patients are followed up in our unit by our dieticians who do not know the limb lengths used, and because the change is an evolution in the practice of surgeons, most patients would not be aware of the specific BPL used for them either.

Study size

Given that a previous study[14] on OAGB-200 has shown significant impairment of LFTS with far fewer patients (n = 25), we deemed that our much larger sample size would provide us with adequate numbers to study this limb length. However, there are no published data on the effect of OAGB-150 on LFTs. This prevented us from undertaking a formal sample size calculation for this retrospective, cohort, pilot study. We included the maximum number of patients possible to increase confidence in our findings.

Statistical analysis

Means were compared using unpaired t-test, and frequencies were compared using Fisher's exact test. A P < 0.05 was regarded statistically significant. The Microsoft Excel®and the GraphPad®software (Graphpad Holdings, LLC, California corporation. San Diego, California,USA) were used. We used the mean value substitution method to deal with the missing data.

RESULTS

A total of 405 patients underwent OAGB in our unit between October 2012 and July 2018 with a BPL of either 200 cm or 150 cm. Weight loss data were available for 378 (93.3%) patients at 1-year follow-up and 338 (83.4%) patients at 2-year follow-up. LFTs were available for 374 (92.3%) patients at 1-year follow-up and 286 (70.6%) patients at 2-year follow-up. Other patients were lost to follow-up. The availability of LFTs at the 2-year mark may have further been affected by the coronavirus disease 2019 pandemic.

The mean age of the patients was 46 ± 10.98 years and 276 (67.3%) were females. The mean pre-operative weight and the body mass index (BMI) were 139 ± 29.96 kg and 49 ± 8.14 kg/m2, respectively. The mean weight loss in kg, percentage excess weight loss (%EWL) and percentage total weight loss (%TWL) at 1 year were 49 ± 18.12 kg, 75% ± 21.2% and 35.0%, respectively. At 2-year follow-up, the respective numbers were 49 ± 18.78 kg, 76% ± 20.57% and 35% ± 9.36%.

There were 234 patients in the OAGB-200 group. The mean age of the patients in this group was 46 ± 11.06 years with 154 (65.8%) females. The mean weight loss, %EWL and %TWL at 1 year was 52 ± 18.74 kg, 76% ± 21.77% and 36% ± 9.15%, respectively. At 2 years, these numbers were 51 ± 19.15 kg, 76% ± 20.10% and 36% ± 9.18%, respectively. Table 1 compares the LFTs at 1 and 2 years of follow-up with the pre-operative values. There was a significant improvement in GGT at 1 and 2 years of follow-up, whereas significant worsening in the levels of ALP and albumin at 1 and 2 years of follow-up compared to pre-operative levels.

Table 1.

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 P 95% CI 2-year P 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

There were 171 patients in the OAGB-150 group. The mean age of these patients was 46 ± 10.92 years with 121 (70.7%) females. The mean weight loss, %EWL and %TWL at 1 year and 2 years of follow-up were 45 ± 16.42 kg, 73% ± 20.34% and 33% ± 8.45%, respectively, and 46 ± 17.52 kg, 75% ± 21.3% and 34% ± 9.48%, respectively. Table 2 compares the LFTs at 1 and 2 years of follow-up with the pre-operative values in this group. There was a significant improvement in GGT levels at 1 and 2 years after surgery and in the ALT levels at 1-year follow-up. There was a significant worsening in the ALP and albumin levels at 1 and 2 years after the surgery.

Table 2.

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 P 95% CI 2-year P 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

Table 3 compares the basic demographics and weight parameters at different time intervals between the two groups. OAGB-200 group had a significantly higher pre-operative weight and BMI. There was no significant difference in %EWL between the two groups at either 1 or 2 years of follow-up. Absolute weight loss was significantly higher in the OAGB-200 group at both 1 and 2 years of follow-up. The difference in %TWL was only significant at a 1-year follow-up.

Table 3.

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 P 95% CI
n 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

Table 4 compares the liver function parameters between OAGB-200 and OAGB-150 groups pre-operatively, at 1-year follow-up, and at 2-year follow-up. OAGB-150 group had a significantly lower bilirubin level at 1 year and significantly fewer abnormal ALP levels at 2 years.

Table 4.

Comparison of liver parameters between one anastomosis gastric bypass-200 and one anastomosis gastric bypass-150 groups

Categories OAGB-200 OAGB-150 P 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
Pre-operative abnormal GGT
38 (17.04) 27 (16.16) 0.8911
0.1294
NA
1-year abnormal GGT 21 (9.85) 9 (5.48) 0.1294
0.4856
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
Pre-operative abnormal AST
14 (6.76) 13 (8.28%) 0.6872
0.8357
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
Pre-operative abnormal AST
35 (15.69) 31 (18.52%) 0.4960 NA
1-year abnormal ALT 27 (12.79) 16 (9.87) 0.4170
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
Pre-operative abnormal AST
8 (3.57) 2 (1.19) 0.1990 NA
1-year abnormal ALP 16 (7.47) 7 (4.34) 0.2779
0.0143
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
Pre-operative abnormal AST
0 (0) 1 (0.58) 0.4326
1.0000
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

DISCUSSION

Protein-calorie malnutrition with or without liver failure has been reported after OAGB[16,17,18,19] and seems to be directly related to the length of the BPL.[8] Rutledge,[5] in his original series of 2410 patients, reported 'excessive weight loss with malnutrition' in 1.1% of patients. Lee et al.,[20] in their 15-year experience with OAGB, reported revision for malnutrition in 2.5% of patients.

There are conflicting reports on the effect of OAGB-200 on LFTs.[13,14,15] Kruschitz et al.[14] only analysed 25 OAGB patients and found ALT levels to be significantly higher in the OAGB group at 1-year follow-up. In contrast we found ALT levels to be significantly lower in OAGB 150 group at 1 year. They also noticed a rise in AST levels, a finding we did not observe in either of our patient groups. However, they also noticed a non-significant improvement in GGT levels in their patients. In our study, the improvement was significant in levels of GGT at 1 and 2 years in both OAGB-200 and OAGB-150 groups.

In the article by Spivak et al.,[13] authors only reported on 469 patients who had 1-year data available out of a total of 715 patients. This was, however, an analysis of national registry data which can often be of poor quality and make the comparison of laboratory values more cumbersome. Ours is a single-centre study with a similar number of patients and longer follow-up. Similar to these authors, we also found a significant increase in ALP levels in both OAGB-200 and OAGB-150 groups in our study at both 1 and 2 years of follow-up. However, we were not able to confirm significant deterioration in ALT and AST levels and an increase in the number of abnormal values seen by these authors. In contrast, for OAGB-150 patients, we observed a decrease in levels of both AST and ALT at 1 year; the decrease was significant for ALT levels.

It is difficult to understand the differences in findings between these studies and that of ours with OAGB-200 because both these groups of Spivak et al. and Kruschitz et al.[13,14] also used a BPL of 200 cm for all of their patients. One possible explanation of the different findings can be the potential for differences in the measurement of the small bowel. That is why our group has previously argued that any recommendation for limb lengths for gastric bypass procedures should be able to absorb some errors in measurement.[21] In our opinion, this makes OAGB-150 a particularly attractive choice as it is likely to offer a bigger margin of error in measurement and hence higher safety.

We have previously argued that an OAGB-150 would reduce the rates of protein-calorie malnutrition with this procedure without significantly compromising the weight loss outcomes.[8,9,11] There are, however, no published data in the literature on the effect of OAGB-150 on LFTs. We found significant improvement in GGT levels at 1 and 2 years after surgery and in ALT levels at 1-year follow-up. There was a significant worsening in ALP and albumin levels at 1 and 2 years after surgery. Most of these findings are similar to the OAGB-200 group except that the improvement in ALT at 1 year was not observed with OAGB-200. On comparing the two groups with each other, we found significantly lower bilirubin with OAGB-150 at 1 year and significantly fewer abnormal ALP levels at 2 years. There was no significant difference in other liver parameters between the two limb lengths. In general, it appears that LFT outcomes are marginally better with OAGB-150. Once again, comparative data for two different BPL lengths of OAGB do not exist in the literature.

Another important factor worth highlighting here is that the effect on liver parameters is different from the problem of liver failure seen in some individuals, often in conjunction with protein-calorie malnutrition. It is entirely possible for a procedure to lead to liver failure due to protein-calorie malnutrition (or some other cause) in some individuals but without a significant worsening of liver functions in the majority. At the same time, if a procedure is leading to deterioration of the liver functions in a large number of patients, this can be a significant issue in itself. Reassuringly, in both OAGB 200 and OAGB 150 groups in our study, there was no significant increase in the number of abnormal values for any of the tests examined except serum albumin at 2 years in the OAGB-200 group.

Serum albumin levels can be an indicator of synthetic liver functions. At the same time, it can also be related to the intake and absorption of proteins. We noticed a small but significant decline in albumin levels in both groups at 1 and 2 years of follow-up. It is worth noting here that we do not recommend any artificial protein supplements to our patients after surgery though patients are encouraged to follow a high protein diet. We are, therefore, unsure if the slight (though statistically significant) fall in albumin levels without any significant increase in the number of abnormal values is down to liver, protein intake, or indeed the reduced absorption of proteins. Interestingly, Kruschitz et al.[14] did not observe any changes in albumin levels. However, they did not provide the exact albumin levels. It is further unclear if their patients were given artificial protein supplements.

Limitations

Several weaknesses of this study need to be acknowledged. Apart from the obvious issues with a retrospective, non-randomised design, there are also problems with follow-up and lack of histological data. The study of liver elastography and biopsy would further clarify the effect of OAGB on the liver anatomy and function and should be included in future studies on this topic.

At the same time, there is only one study reporting on liver histology after OAGB[15] and only two other studies[13,14] examining LFTs after OAGB. Significantly, all of these studies are on OAGB-200, and there are no published data on LFTs after OAGB-150 and no comparative data evaluating the differential effect of these two BPL lengths on LFTs after OAGB. Moreover, LFTs can be affected by several other factors such as gall stones, drugs and alcohol. Our study is not able to comment on these factors. At the same time, it is not a crucial limitation as we are not reporting deterioration in liver parameters in a large number of patients. Finally, our statistical analyses should be regarded as exploratory in nature as we have examined a large number of variables. Future focussed studies need to examine them separately.

Generalisability

Variation in measurements of small bowel length amongst surgeons[22] means that results may vary from centre to centre even if they use the same BPL while performing the OAGB. This should encourage surgeons to examine the shortest possible effective BPL for this procedure which can overcome these variations in measurement. The presence or absence of gall stones, the use of other pharmacological agents that can affect LFTs and alcohol intake are other significant confounding variables that we have not been able to control for.

CONCLUSIONS

This study demonstrates the overall safety of OAGB with regard to its effect on LFTs with no remarkable difference between OAGB-150 and OAGB-200. Some liver parameters were actually seen to improve with OAGB. There was a slight, significant decline in albumin levels with both OAGB-150 and OAGB-200 at 1 and 2 years of follow-up after surgery. Findings of this exploratory study need confirmation in larger, focussed prospective studies.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

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