According to our results, in our series 42.5% of patients achieved some preoperative weight loss, and just in 11.9% of them was higher than 5%. Preoperative weight loss did not reduce the rate of morbidity, leak or reoperation for SG patients, while in RYGB it might have had a negative influence.
There is no consensus on literature about the recommendation of losing weight prior to surgery and which amount of it should be requested(3). Stefura et al.(4) recommended preoperative weight loss, they observed that patients who lost more than 5% preoperatively got a superior postoperative weight loss. Hutcheon et al.(5) also found that patients who followed a 4 weeks low calorie diet and achieved a preoperative weight loss of more than 8% not only had a better postoperative percentage of excess weight loss (%EWL) over 1 year but also a shorter hospital stay. It was also recommended by Alvarado et al.(6), who found that preoperative weight loss of more than 5% in RYGB patients was associated with higher postoperative weight loss 1 year after surgery and shorter operative time, with no influence on comorbidities or complications. Santo et al.(3) also recommended it for superobese patients. These results could be explained by a higher motivation of the patients to follow a postoperative healthy lifestyle.
However, other authors found opposite results. Abishek et al.(7) could not find increased postoperative weight loss at 1 year in patients with SG and preoperative weight loss. Neither did Raman et al.(8), or Watanabe et al.(9), who found differences on total weight loss (TWL) over 1 year but not on overall TWL.
Likewise in our series, the systematic review from Ochner et al.(10) concluded there is insufficient evidence to stablish a minimum preoperative weight loss as a must for bariatric surgery, and it should not condemn those who do not achieve the goal ineligible to receive a surgical procedure. These dissimilar results could be explained because of the high heterogeneity of literature (Table 3). More recent publications that suggested that preoperative weight loss was not a predictor factor for postoperative BMI.
Table 3
Summary of the majority of the literature and their findings. Includes number of patients, length of follow-up registered, variables included such as BMI, TWL, EWL, and percentage of preoperative weight loss and complications. Includes conclusions and type of article. SG: sleeve. RYGBP: Roux-n-Y gastric bypass. RCT: randomized controlled trial.
Author, year
|
Patients
|
Type of Study
|
Follow-up
|
Procedure
|
PWL
> 5%
|
PWL
> 10%
|
Complications
|
Results
|
Cottam 2019
|
12406
|
Systematic review
|
|
SG
|
|
|
|
PWL as a predictor
|
Stefura 2019
|
909
|
Observational
|
6m
|
SG, RYGB
|
X
|
|
|
PWL as a predictor
|
Raman 2018
|
218
|
Observational
|
1y
|
SG, RYGB
|
|
|
|
No predictor
|
Abhishek 2018
|
192
|
Observational
|
1y
|
SG
|
X
|
|
|
No predictor
|
Roman 2018
|
6060
|
Meta-analysis
|
|
SG, RYGB
|
|
|
X
|
No predictor
|
Hutcheon 2018
|
355
|
Observational
|
1y
|
SG, RYGB
|
|
|
|
PWL as a predictor
|
Tewksbury 2017
|
|
Review
|
|
SG, RYGB
|
|
|
X
|
No predictor
|
Watanabe 2017
|
247
|
Observational
|
1y
|
SG
|
X
|
|
X
|
PWL as a predictor
|
Kim 2017
|
|
Review
|
|
SG, RYGB
|
|
|
|
No predictor
|
Kalarchian 2016
|
143
|
RCT
|
1y
|
SG, RYGB
|
|
|
X
|
No predictor
|
Anderin 2015
|
22327
|
Observational
|
6w
|
RYGB
|
|
|
X
|
PWL as a predictor
|
Gerber 2014
|
35519
|
Systematic review
|
|
SG, RYGB
|
|
|
X
|
No predictor
|
Santo 2014
|
20
|
Observational
|
14w
|
RYGB
|
|
|
|
No predictor
|
Ochner 2012
|
2618
|
Systematic review
|
|
RYGB
|
|
X
|
|
No predictor
|
Van Nieuwenhove 2011
|
273
|
RCT
|
1m
|
RYGB
|
|
|
X
|
No predictor
|
Livhits 2009
|
3404
|
Systematic review
|
|
SG, RYGB
|
|
X
|
|
PWL as a predictor
|
Bushr 2008
|
146
|
Observational
|
2y
|
SG, RYGB
|
|
|
X
|
No predictor
|
Alami RS 2007
|
61
|
RCT
|
1y
|
RYGB
|
|
X
|
X
|
PWL as a predictor
|
Still 2007
|
884
|
Observational
|
12m
|
RYGB
|
X
|
X
|
|
PWL as a predictor
|
Alvarado 2005
|
90
|
Observational
|
1y
|
RYGB
|
|
|
X
|
PWL as a predictor
|
Correlation between the degree of weight lost and the risk of complications was not found neither, except for leakage in RYGB patients. This could be explained by patient heterogeneity in this group, higher technical complexity or maybe by some preoperatively under-detected malnourished patients in this group. Those results should be carefully interpreted since they come from a small sample of patients.
Regarding complications, Anderin et al.(11) studied RYGB patients and found that preoperative weight loss was associated with lower relative risk for conversion and lower risk for complications within 6 weeks after surgery, except for bleeding. Alami et al.(12) in a RCT could not demonstrate any reduction of overall complications. Same results were reported in other publications (5, 17, 18). Howbeit, those results should be carefully analysed due to the non-randomized studies included, limited number of patients and the low frequency of postoperative complications. Additionally, scarce literature is about SG patients since most of reports mainly include RYGB.
A strong point of this series comes from a longer-term follow-up than most of the literature published until now. The retrospective nature of the analysis is a strong limitation. It is also a single-centre series. It is noted the short percentage of patients in our database who completed a 5 years follow-up. Other limitation, defined as well in methodology, is the long period permitted for preoperative weight loss, up to 6 months in some cases. Finally, patients’ heterogeneity is also a bias that may have negatively influenced our findings.