1. Introduction
Obesity and related comorbidities are health problems worldwide. In 2016, about 13% of the world’s adult population was shown to be obese [
1]. Bariatric surgery (BS) is a therapeutic approach to obesity and its comorbidities, and results in huge benefits in comparison with pharmacological actions [
2]. It has been demonstrated that weight loss due to surgery was greater than other conservative therapy effects, and produced better glucose control than medical therapy did [
3]. That reduction reaches its maximum between 6 months and 3 years post-surgery [
2,
3,
4].
Several studies suggest that weight loss is an important contributor to the health outcomes associated with BS [
5]. It was considered favourable to lose at least 50% of excess weight after surgery [
6]. However, the weight reduction after BS shows great discrepancies from one individual to another [
7], with a minority of patients (5–20%) who do not achieve successful long-term weight loss [
7]. Considering post-operative weight loss and subsequent recovery, a classification that stratifies the patients into good responders and non-responders was established [
8].
Several studies have compared the percentage of excess weight loss (%EWL) between different types of BS [
9] or even different techniques of the same type of surgery [
10], while others have analyzed several preoperative predictors with discordant results [
11,
12]. However, the surgery response, even performed with the same technique, is variable among different subjects. This fact could be explained due to metabolic differences before undergoing BS which can be reflected in anthropometric measurements or baseline serum markers [
13]. Therefore, these biomarkers may be able to predict the weight loss response rate. However, it is unclear which factors are associated with the amount of excess weight loss after BS [
14,
15]. A more profound study of pre-surgical factors that are able to predict treatment success would be very useful in clinical practice in order to select the best candidates for each intervention. Some preoperative factors are a predictor of weight loss after Roux-en-Y gastric bypass (RYGB), such as body mass index (BMI) and waist circumference, and age [
16]. There is evidence that increased age is associated with a lower %EWL [
17]. However, other studies suggest that for patients older than 50 and 60 years, age does not influence the outcome after BS [
18].
According to this background, the aim of this retrospective observational study was the evaluation of the response regarding weight loss in the short term (1 year after BS) on all patients with morbid obesity who underwent different BS techniques, as well as to determine the existence of baseline biomarker associated to weight loss.
3. Results
We followed 329 patients with morbid obesity during the first year after BS.
Table 1 shows the characteristic of patients included in this study according to the type of BS. Patients underwent BPD were slightly more obese (higher weight (
p = 0.001), BMI (
p = 0.001), and waist (
p = 0.045) and hip circumferences (
p = 0.018)), and those underwent SG had lower glucose levels (
p = 0.004). Patients lost the same total weight regardless of the type of BS (BPD: 44.2 ± 15.5 kg; RYGB: 48.4 ± 16.8 kg; SG: 44.8 ± 17.7 kg;
p = 0.230). However, there was a lower percentage of total weight-loss (Δ-Weight) after BPD (29.7 ± 8.9%) than after RYGB (35.2 ± 8.1%) and SG (32.6 ± 9.3%) (
p = 0.002).
The characteristics of patients classified according to the %EWL are presented in
Table 2. Those patients with %EWL <50% presented a higher age (
p = 0.031), baseline BMI (
p = 0.005) and hip circumference (
p = 0.037) than those with %EWL ≥50%. There was a decrease in the percentage of comorbidities after BS, both in the group of patients with %EWL <50% and with %EWL ≥50% (
Table 2). However, these changes were more significant in those with %EWL ≥50%.
3.1. Association Between %EWL and the Variables Studied
The next step was to analyse the linear association between %EWL and anthropometric and biochemical variables through correlation analysis. There was a significant linear association between %EWL and age (r = −0.302, p < 0.001), weight (r = 0.280, p < 0.001), BMI (r = 0.259, p < 0.001), waist (r = 0.215, p < 0.001) and hip circumference (r = 0.287, p < 0.001) and AIP (r = −0.211, p < 0.001). No other significant associations were found (data not shown).
The variables associated with a %EWL ≥50% in a logistic regression model were the age, AIP and the type of BS (RYGB) (
Table 3). This regression was adjusted for sex, BMI, HOMA-IR, CRP and hypertension (yes/no), which are related to the metabolic alterations most frequently associated with the presence and development of obesity: insulin resistance (HOMA-IR) [
29], inflammation (CRP) [
30] and hypertension [
31].
3.2. %EWL According to the Type of BS
One year after BS, 80.5% of patients reached %EWL ≥50%. When analysed according to the type of BS, 86.7% of patients who underwent RYGB were GR. For SG, 82.2% were GR and of those undergoing BPD, 68.2% were GR. There was a greater percentage of patients who underwent RYGB who reached %EWL ≥50% compared to the other types of BS (p = 0.012).
Table 4 shows the characteristics of patients classified according to %EWL and the surgical technique used. A worse metabolic profile was found in those patients with %EWL <50%, both within BPD and SG groups. Within RYGB, we did not find significant differences.
3.3. %EWL and Comorbidities According the Type of BS
We analysed whether there were significant differences in these comorbidities within each type of BS, according to %EWL (
Table 4). Within the SG group, we found a higher percentage of patients with T2DM (
p = 0.034) and hypertension (
p = 0.017) in the group of patients with %EWL <50%. No significant differences were observed within the BPD and RYGB groups.
3.4. %EWL According to Sex
Regarding sex, there were no significant differences in the percentage of women and men between the group of patients with %EWL ≥50% or with %EWL <50%.
3.5. %EWL According to Age
When the age was classified in quartiles (≤37 years, >37 and ≤44 (37–44) years, >44 and ≤52 (45–52) years and >52 years), we did not find significant differences in the percentage of GR, although a tendency was observed: the age ≤37 years group: 85.5%; the 37–44 years group: 82.7%; the 45–52 years group: 78.7%; the >52 years group: 75.3%.
Subsequently, we analysed whether there were significant differences according to the %EWL within each age group (
Table 5). The main differences were within the 37–44 years group, with higher levels in the group of patients with %EWL <50%.
3.6. %EWL and Comorbidities According to Age
We also analysed whether there were significant differences in the comorbidities within each age group according to %EWL (
Table 5). No significant differences were observed in the group of patients age ≤37 years and 45–52 years. Within the 37–44 years group, we observed a higher percentage of patients with T2DM (
p = 0.035) and hypercholesterolemia (
p = 0.048) in the group of patients with %EWL <50%. Finally, within the >52 years group, we observed a higher percentage of hypertensive patients (
p = 0.049) in the group of patients with %EWL <50%.
3.7. %EWL and Percentage Change (Δ) of Anthropometric and Biochemical Variables
We analysed the Δ-anthropometric and Δ-biochemical variables according to the %EWL. Those patients with %EWL ≥ 50% presented a significant higher percentage of change compared to the group with %EWL < 50% in Δ-weight (p < 0.001), Δ-IMC (p < 0.001), Δ-waist (p < 0.001), Δ-hip (p < 0.001), Δ-triglycerides (p = 0.002), Δ-leptin (p < 0.001), Δ-HOMA-IR (p < 0.001), Δ-adiponectin (p = 0.024) and Δ-TG/HDL index (p = 0.009). No other significant differences were found.
3.8. %EWL and Δ-Anthropometric and Δ-Biochemical Variables According to Type of BS
We also analysed the Δ-anthropometric and Δ-biochemical variables according to %EWL and type of BS (
Table 6). Higher Δ-anthropometric and Δ-biochemical variables were found in those patients with %EWL ≥50% within the three types of BS.
Within the %EWL <50% group (
Table 6), the patients underwent SG showed the lowest decrease in glucose (
p = 0.035) and CRP levels (
p = 0.015), and the greatest increase in cholesterol (
p < 0.001), HDL (
p = 0.017) and LDL (
p < 0.001) levels. The patients underwent RYGB showed the lowest decrease in waist circumference (
p = 0.019).
Within the %EWL ≥50% group (
Table 6), the patients underwent SG showed the lowest decrease in glucose (
p = 0.023) and TC/HDL (
p = 0.006) levels, and the greatest increase in cholesterol (
p < 0.001), HDL (
p < 0.001), LDL (
p < 0.001) and adiponectin (
p = 0.004) levels. The patients underwent BPD showed the lowest decrease in weight (
p = 0.042), BMI (
p = 0.042), waist circumference (
p = 0.045), triglycerides (
p < 0.001), TG/HDL (
p < 0.001) and AIP (
p = 0.038).
3.9. %EWL and Δ-Anthropometric and Δ-Biochemical Variables According to Age
We also analysed the Δ-anthropometric and Δ-biochemical variables according to %EWL and age (
Table 7). Higher Δ-anthropometric and Δ-biochemical variables were found in those patients with %EWL ≥50% within the four groups of age.
Within the %EWL <50% group (
Table 7), there was no age group that was clearly different compared to the other groups.
Within the %EWL ≥50% group (
Table 7), the ≤37 years group showed the greatest decreases compared to the other groups (in weight (
p < 0.001), BMI (p < 0.001), waist (
p = 0.001) and hip circumference (
p = 0.002), systolic (
p = 0.012) and diastolic blood pressure (
p = 0.025) and HOMA-IR (
p = 0.035)). The >52 years group showed the greatest decrease in glucose (
p = 0.016). The 45–52 years group showed the greatest increase in adiponectin (
p = 0.014).
4. Discussion
The main finding of our study is that the main variables associated with a higher chance of a good weight loss response were age and the type of BS (RYGB), with the weight loss and AIP improvement being associated with each other; those patients with less age (≤37 years) are those that show a greater improvement in the variables analysed, mainly in the group with %EWL ≥50%. Additionally, those patients who underwent SG were those who showed a lower metabolic improvement (triglycerides, insulin, HOMA-IR, leptin and CRP), mainly in the group with %EWL <50%.
We found that BS achieves successful results in most of the variables studied in the short term, with an adequate percentage of post-surgery success 12 months after BS. Moreover, we observed significant improvements both in the non-responders group and in the good responder group. However, there are slight differences. The good responder group presents a greater improvement, and not only in anthropometric variables. However, the effects of all types of BS are not equal [
32]. We also found slight differences between the effects of three types of BS. RYGP produced a higher %EWL than SG and, mainly, BPD. However, these patients had worse anthropometric characteristics. This could be conditioning that the %EWL was slightly lower in these patients. Other variables not considered in this study, such as the metabolic state of adipose tissue, could affect %EWL. The worse anthropometric characteristics of patients underwent BPD could alter the metabolism of adipose tissue: higher adipocyte hypertrophy is closely associated with a metabolic dysregulation [
33], which could be associated with the evolution of these patients after BS [
34]. On the other hand, and according to our results, there are studies showing a similar %EWL with RYGB [
13,
23]. We found that the percentage of patients with morbid obesity who do not achieve the desired weight loss depends on the type of surgery. Ma et al. [
17] found that 85% of the patients who underwent gastric bypass achieved ≥50% EWL [
17]. With regard to patients undergoing SG, and according to our results, other studies showed %EWL between 43 to 86% [
35]. However, SG was the type of BS that produced the least improvement in the metabolic profile, mainly in the group with %EWL < 50%. This agrees with previous studies in which techniques with an important malabsorptive component were more effective than SG for weight outcomes and improvement of obesity-related comorbidities [
36].
In addition to the effect of the type of bariatric surgery on %EWL, we observed that the weight loss is influenced by the age of the patient. Our study shows a tendency, with a higher %EWL in younger patients, as in other studies [
16,
17,
18]. Different studies suggested that patients older than 50 years lost 40% less weight 2 years after BS than younger patients [
18,
37], with morbidity and mortality rates higher in older patients [
11,
38]. In addition to the influence of age on %EWL, we also found that there are differences between good responders and non-responders within each group of age. In general, good responder patients have a better baseline biochemical and anthropometric profile than those non-responders, mainly in the 37–44 years group. However, this better profile disappears as age increases. We observed that patients with a lower age showed some predictive factors of a %EWL ≥50%, mainly the group with 37–44 years; a better anthropometric (weight, BMI, waist and hip circumference), glycaemic (glucose, insulin and HOMA-IR) and atherosclerotic (triglycerides, TG/HDL index and AIP) profile. Overall, these patients have a better metabolic profile. These results suggest that there is a group of young patients with morbid obesity with a better metabolic profile, who are more favourable to adequate weight loss.
The last variable that we found to be associated with %EWL is AIP. It is a strong risk factor for atherosclerosis and a predictive factor for emergency cardiovascular events [
39]. This index significantly improved after BS in all patients. Additionally, baseline AIP is lower in the group of BPD with %EWL ≥50%. As is known, and as we also found, BPD produces a significant improvement of the lipidic profile, which is closely linked to cardiovascular risk. Immediate post-surgical results showed a greater improvement in the lipid profile in patients who underwent BPD than in those who underwent SG [
40].
We also found a significant decrease in the percentage of patients with T2DM, hypertension and hypercholesterolemia after BS regardless of %EWL (
Table 2). In addition to weight loss, other metabolic factors related to surgical technique may determine the evolution of these comorbidities. There are numerous studies that support the results obtained in our study regarding weight reduction and control of cardiovascular risk factors in the short term. Piché et al. showed a reduction in comorbidities such as hypertension, T2DM and dyslipidemia [
41]. Other studies found similar results in patients who underwent RYGB and SG after a 17-month follow-up [
42]. Although the comorbidities decrease after BS, weight loss (%EWL <50% or ≥50%) in those patients undergoing BPD and RYGB was not associated with a higher or lower pre-surgical presence of T2DM, hypertension and hypercholesterolemia. However, a lower presence of T2DM and hypertension in those patients undergoing SG was associated with a %EWL ≥50%. This suggests that baseline characteristics of patients may be associated with weight loss [
4].
The present study is not exempt from limitations. We only analysed a few variables that can potentially influence the results that are measured. Additionally, although potential post-surgery features that could be determinants of the final effects were not considered, it is a strength that all patients followed homogeneous therapeutic recommendations after each type of BS. We also used 50% as a cut-off for the EWL, although other cut-offs could have been used. Studies for short- and long-term weight-loss show different results. While some reviews show similar %EWL with SG and RYGB at short and long-term [
43], other reviews show better results with RYGB [
44], with a greater treatment failure after six years for SG [
44]. Most of the studies demonstrated and maintained weight loss through follow-up at five years and even for longer intervals (up to 11 years) [
43]. However, a slow weight gain between the second and third years of postsurgery follow-up is found, increasing up to 5 years postsurgery [
45]. Although, based on previous reviews, our results could be generalized to long-term weight loss, we cannot confirm this hypothesis without data. A long-term follow-up time would be necessary to compare the different surgical techniques and to determine the true variables associated with weight loss after BS, because many patients recover weight, as well as the associated comorbidities after the first years [
3,
4]. Another limitation that should be mentioned is that two hospitals contributed patients and shared only one surgery. However, this is performed with the same technical characteristics, so it would hardly affect the results obtained.
In conclusion, we show that the relevant variables associated with a %EWL ≥50% after 12 months of follow-up after BS were the type of surgery, mainly RYGB, and age, which is also associated with AIP. Our study confirms that BS, and mainly RYGB, is an effective procedure to metabolically the patients with morbid obesity, even in those non-responders. SG seems to be the one that showed a lower metabolic improvement, mainly in the non-responders group. More extensive knowledge would serve to predict the response to surgery.