Literature DB >> 36034360

The Association Between Visceral Obesity and Postoperative Outcomes in Elderly Patients With Colorectal Cancer.

Qiantong Dong1,2, Haonan Song2, Weizhe Chen3, Wenbin Wang2, Xiaojiao Ruan2, Tingting Xie2, Dongdong Huang2, Xiaolei Chen2, Chungen Xing1.   

Abstract

Background: The impact of visceral obesity on the postoperative complications of colorectal cancer in elderly patients has not been well studied. This study aims to explore the influence of visceral obesity on surgical outcomes in elderly patients who have accepted a radical surgery for colorectal cancer.
Methods: Patients aged over 65 year who had undergone colorectal cancer resections from January 2015 to September 2020 were enrolled. Visceral obesity is typically evaluated based on visceral fat area (VFA) which is measured by computed tomography (CT) imaging. Univariate and multivariate analyses were performed to analyze parameters related to short-term outcomes.
Results: A total of 528 patients participated in this prospective study. Patients with visceral obesity exhibited the higher incidence of total (34.1% vs. 18.0%, P < 0.001), surgical (26.1% vs. 14.6%, P = 0.001) and medical (12.6% vs. 6.7%, P = 0.022) complications. Based on multivariate analysis, visceral obesity and preoperative poorly controlled hypoalbuminemia were considered as independent risk factors for postoperative complications in elderly patients after colorectal cancer surgery. Conclusions: Visceral obesity, evaluated by VFA, was a crucial clinical predictor of short-term outcomes after colorectal cancer surgery in elderly patients. More attentions should be paid to these elderly patients before surgery.
Copyright © 2022 Dong, Song, Chen, Wang, Ruan, Xie, Huang, Chen and Xing.

Entities:  

Keywords:  colorectal cancer; elderly patients; postoperative complication; risk factor; visceral obesity

Year:  2022        PMID: 36034360      PMCID: PMC9407030          DOI: 10.3389/fsurg.2022.827481

Source DB:  PubMed          Journal:  Front Surg        ISSN: 2296-875X


Introduction

The incidence and mortality of colorectal cancer (CRC) have been significantly increasing in China during the past decade, ranking the third most common cancer (1). Globally, with the population becoming older in recent years, a larger number of elderly patients were diagnosed with CRC, comprising the majority of the population with CRC (2). Till now, radical resection remains the only curative treatment for CRC. Also, an increasing number of colorectal resections are being performed on more and more elderly patients. Elderly patients with CRC tend to have multiple comorbidities, decreased social and cognitive functioning, poor nutritional status, and worse prognosis such as worse overall and disease-free survival (3). In addition, they are more prone to developing morbidity and mortality after surgery as advancing age reduces physiological reserve capacity to deal with major abdominal surgery (4–6). There is still some controversy about the surgical treatment for elderly patients with CRC. Some studies indicated that elderly patients with CRC had higher postoperative complication rates than younger population (7, 8). Therefore, the surgeons must weigh the benefits of radical colorectal resection for elderly patients. Moreover, highly precise geriatric assessments to identify patients at higher risks for developing adverse outcomes are required (9–11). Aging is also associated with dramatic changes in body fat distribution. A main concern in the aging society is the increasing prevalence of obesity, which is known as a risk factor for cancer and physical dysfunction (12). Visceral obesity is characterized by excessive amounts of intra-abdominal adipose tissue accumulation (13). Visceral obesity has been shown previously to increase the risk of surgical procedures, which may increase postoperative complication rates and hospital stay (14–16). Colorectal cancer is well known as an “obesity-related” cancer (17, 18). Epidemiological studies indicated that there was a substantial association between the incidence of CRCs and visceral obesity (19). In recent years, emerging evidence suggests that visceral obesity is closely related to poor prognosis after colorectal surgery (15, 20, 21). The impact of visceral obesity has been demonstrated in the general population, but there is limited knowledge for the elderly population. In this study, we investigated whether visceral obesity would predict short-term outcomes in elderly patients after resection for colorectal cancer.

Methods and Materials

Patients

This retrospective study was approved by the Ethics Committee of The First Affiliated Hospital of Wenzhou Medical University. Between January 2015 and September 2020, patients aged 65 and over who underwent elective resection for colorectal cancer in Gastrointestinal Surgical Department, the First Affiliated Hospital of Wenzhou Medical University were included. Inclusion criteria were patients who (1) had an accurate diagnosis of colorectal cancer on the basis of histological evidence before surgery; (2) were medically fit for surgery (American Society of Anesthesiologists [ASA] grade ≤III); (3) had preoperative computed tomography (CT) scans to measure abdominal VFA (within 1 month before surgery). Exclusion criteria were: (1) patients who were accepted for palliative resection or emergency surgery; (2) patients who received neoadjuvant chemotherapy or radiotherapy. All surgical procedures were performed by 4 surgeons who were highly experienced in radical colorectal resections for colorectal cancer (more than 150 cases).

Data Collection

Patient information, including patient characteristics, operative details, and postoperative short-term outcomes, were obtained from our clinical information system. Patient characteristics, collected within 1 month before surgery, comprised age, gender, body mass index (BMI), visceral fat area (VFA), plasma albumin concentration (hypoalbuminemia was defined as a plasma albumin concentration of less than 35 g/L), hemoglobin concentration (anemia is defined as a hemoglobin concentration of less than 120 g/L in men or 110 g/L in women), American Society of Anesthesiology (ASA) grade, preoperative nutritional risk screening 2002 (NRS 2002) scores (22), comorbidity (assessed by Charlson comorbidity Index score) (23), history of previous abdominal surgery, tumor location, and tumor-node-metastasis (TNM) stage. The parameters of operative details were laparoscopic surgery, number of dissected lymph nodes (at least 15 lymph nodes were dissected), positive lymph node, surgical durations, and combined resection. Postoperative short-term outcomes consisted of postoperative complications (during hospital stays or within 30 days after operation), postoperative hospital stays, hospitalization cost, and readmissions within 30 days of discharge. Postoperative complications were classified as grade II or higher based on the Clavien-Dindo classification system (24).

Visceral Fat Area Measurement

Computed tomography (CT) axial slices taken at the third lumbar vertebra (L3) was used for visceral fat area (VFA) measurements. The boundaries of the adipose tissue were outlined on the CT image using standard Hounsfield unit ranges (−150 to −50 Hu), and then VFA was calculated. To minimize measurement bias, all measurements were completed by one radiologist who was blinded for the clinical details of the subjects on a dedicated processing system (version 3.0.11.3 BN17 32 bit; INFINITT Healthcare Co., Ltd). According to a previous study, visceral obesity was defined as a VFA > 130 cm2 in men and >90 cm2 in women (25). According to this parameter, patients were stratified into visceral obesity (VO) and Non-visceral obesity (Non-VO) groups.

Statistical Analysis

Normally distributed data were described as mean value and standard deviation (SD). Nonnormally distributed data were presented as median value and interquartile range (IQR). Student’s t-test, Mann–Whitney U-test (or Kruskal–Wallis H test) and Chi-square test (or Fisher’s exact test) were used to compare normally distributed variables, nonnormally distributed variables and categorical variables respectively. The multivariate logistic regression or Cox proportional hazards regression analysis (forward stepwise selection processes) was used to determine the independent risk factor. P values <0.05 (two-tailed) was considered statistically significant, and all statistical analyses were performed using SPSS statistics version 22.0 (IBM, Armonk, New York, USA).

Results

Patients’ Characteristics

The demographic and clinicopathologic characteristics of 528 patients (261 in VO group vs. 267 in Non-VO group) included are summarized in Table 1. Mean age was 74.1 years old and 318 (60.2%) patients had male sex. The median VFA was 110.0 cm2 and 261 (49.4%) patients were defined as having visceral obesity (including 138 males and 123 females). 74 patients were diagnosed with diabetes. Additionally, women were more prone to have visceral obesity than men (P = 0.001). For the clinicopathological parameters, patients with visceral obesity had higher BMI (P < 0.001), higher albumin (P = 0.039), higher Charlson comorbidity index (P < 0.001), and lower NRS 2002 scores (P = 0.033). There were no significant differences in age, hemoglobin, previous abdominal surgery, and tumor location between the two groups. Regarding the operative parameters, the median numbers of dissected lymph nodes (25 in VO group vs. 31 in Non-VO group, P < 0.001) and the median surgical durations (180 min in VO group vs. 160 min n Non-VO group, P = 0.002) were significantly different. Moreover, two groups did not show significant differences regarding laparoscopy-assisted operation, positive lymph node and combined resection.
Table 1

Comparison of clinical characteristics between the VO group and the Non-VO group.

VariablesTotal (n = 528)VO group (n = 261)Non-VO group (n = 267)P value
Age, mean (SD), years74.1 (6.2)74.0 ± 6.074.1 ± 6.40.913
Gender0.001*
 Male318 (60.2)138 (52.9)180 (67.4)
 Female210 (39.8)123 (47.1)87 (32.6)
BMI, mean (SD), kg/m222.5 ± 3.124.2 ± 2.720.9 ± 2.5<0.001*
VFA, median (IQR), cm2110.0 (90.0)157.2 (73.7)67.0 (54.7)0.001*
Albumin, mean (SD), g/L36.3 ± 4.436.7 ± 4.535.9 ± 4.30.039*
Hemoglobin, median (IQR), g/L118.5 (20)119 (20)116 (20)0.705
ASA grade0.076
 I132 (25.0)48 (18.4)84 (31.5)
 II321 (60.8)182 (69.7)139 (52.1)
 III75 (14.2)31 (11.9)44 (16.5)
NRS 2002 scores0.033*
 ≥3235 (44.5)104 (39.8)131 (49.1)
 <3293 (55.5)157 (60.2)136 (50.9)
Charlson comorbidity indexa<0.001*
 0222 (42.0)81 (31.0)141 (52.8)
 1198 (37.5)108 (41.4)90 (33.7)
 ≥2108 (20.5)72 (27.6)36 (13.5)
Previous abdominal surgery0.972
 Yes117 (22.2)58 (22.2)59 (22.2)
 No411 (77.8)203 (77.8)208 (77.9)
Tumor location0.214
 Colon285 (54.0)148 (56.7)137 (51.3)
 Rectum243 (46.0)113 (43.3)130 (48.7)
TNM stage0.041*
 I96 (18.2)54 (20.7)42 (15.7)
 II219 (41.5)114 (43.7)105 (39.3)
 III195 (36.9)82 (31.4)113 (42.3)
 IV18 (3.4)11 (4.2)7 (2.6)
Laparoscopy-assisted operation0.170
 Yes235 (44.5)124 (47.5)111 (41.6)
 No293 (55.5)137 (52.5)156 (58.4)
Numbers of dissected lymph nodes, median (IQR)26 (5)25 (6)31 (5)<0.001*
Lymph node positive194 (36.7)86 (33.0)108 (40.4)0.074
Combined resection0.156
 Yes38 (7.2)23 (8.8)15 (5.6)
 No490 (92.8)238 (91.2)252 (94.4)

Values in parentheses are percentages unless indicated otherwise.

SD, standard deviation; BMI, body mass index; VFA, visceral fat area; IQR, interquartile range; ASA, American Society of Anesthesiologists; NRS, nutritional risk screening; TNM, tumor–node–metastasis.

Charlson Comorbidity Index doesn’t consider points coming from cancer.

P < 0.05 was considered statistically significant.

Comparison of clinical characteristics between the VO group and the Non-VO group. Values in parentheses are percentages unless indicated otherwise. SD, standard deviation; BMI, body mass index; VFA, visceral fat area; IQR, interquartile range; ASA, American Society of Anesthesiologists; NRS, nutritional risk screening; TNM, tumor–node–metastasis. Charlson Comorbidity Index doesn’t consider points coming from cancer. P < 0.05 was considered statistically significant.

Postoperative Outcomes

As shown in Table 2, the overall incidence of postoperative complications was 25.9%. The most common complications were wound infection (n = 29, 5.5%), intra-abdominal abscess (n = 27, 5.1%) and anastomotic leakage (n = 25, 4.7%). The incidence of total complications was significantly higher in the VO group than that in the Non-VO group (34.1% vs. 18.0%, P < 0.001). Further analysis of the complications showed that in the VO group, both surgical (26.1% vs. 14.6%, P = 0.001), and medical (12.6% vs. 6.7%, P = 0.022) complications were more common than for patients in the non-VO group. Regarding the details of complications, VO patients experienced more wound infection (P = 0.030), intra-abdominal abscess (P = 0.025), and pulmonary complications (P = 0.023) than Non-VO patients. No case of mortality occurred. The median postoperative hospital stay was 13 days and 25 (4.7%) patients were readmitted within 30 days of discharge. No statistically significant differences were observed in postoperative hospital stay (P = 0.583), costs (P = 0.313) or readmission rate (P = 0.792) between the two groups.
Table 2

Short-term outcomes.

FactorsTotal (n = 528)VO group (n = 261)Non-VO group (n = 267)P value
Total complications137 (25.9)89 (34.1)48 (18.0)<0.001*
Surgical complications107 (20.3)68 (26.1)39 (14.6)0.001*
 Gastrointestinal dysfunctiona5 (0.9)3 (1.1)2 (0.7)0.980
 Wound infection29 (5.5)20 (7.7)9 (3.4)0.030*
 Bleeding10 (1.9)4 (1.5)6 (2.2)0.777
 Intra-abdominal abscess27 (5.1)19 (7.3)8 (3.0)0.025*
 Anastomotic leakage25 (4.7)16 (6.1)9 (3.4)0.136
 Intestinal obstruction11 (2.1)6 (2.3)5 (1.9)0.732
Medical complications51 (9.7)33 (12.6)18 (6.7)0.022*
 Pulmonary complications17 (3.2)13 (5.0)4 (1.5)0.023*
 Cardiac complications3 (0.6)2 (0.8)1 (0.4)0.984
 Venous thrombosis9 (1.7)5 (1.9)4 (1.5)0.973
 Persistent hypoalbuminemia20 (3.8)12 (4.6)8 (3.0)0.335
 Urinary infection2 (0.4)1 (0.4)1 (0.4)1.000
Reoperation for complications4 (0.8)1 (0.4)3 (1.1)0.632
Stoma27 (5.1)9 (3.4)18 (6.7)0.086
Surgical durations, median (IQR), minutes170 (84)180 (80)160 (85)0.002*
Postoperative hospital stays, median (IQR), days13 (7)13 (7.5)13 (6)0.583
Costs, median (IQR), yuan54,892.3 (21,400.7)55,593.0 (23,085.8)53,753.7 (21,977.4)0.313
Readmissions within 30 days of discharge25 (4.7)13 (5.0)12 (4.5)0.792

Values in parentheses are percentages unless indicated otherwise.

Including prolonged postoperative ileus and diarrhea.

P < 0.05 was considered statistically significant.

Short-term outcomes. Values in parentheses are percentages unless indicated otherwise. Including prolonged postoperative ileus and diarrhea. P < 0.05 was considered statistically significant.

Univariate and Multivariate Analysis Associated with Complications

Potential risk factors for overall complications are listed in Table 3. In univariate analysis, higher BMI (P = 0.002), hypoalbuminemia (P = 0.034) and visceral obesity (P < 0.001) were associated with overall postoperative complications. The multivariate analysis revealed that hypoalbuminemia (OR: 1.692 (1.119–2.559), P = 0.013) and visceral obesity (OR: 2.482 (1.649–3.737), P < 0.001) remained as independent risk factors for overall complications. In terms of surgical complications, visceral obesity (OR: 2.060 (1.329–3.191), P = 0.001) was the unique independent risk factor (Table 4). As for medical complications, hypoalbuminemia (OR: 2.206 (1.224–3.977), P = 0.008) and visceral obesity (OR: 2.150 (1.170–3.953), P = 0.014) were independent risk factors (Table 5).
Table 3

Univariate and multivariate logistic regression analysis of risk factors for total complications.

FactorsUnivariate analysis
Multivariate analysis
Case with complication (%) P OR (95% CI) P
Age0.079
 ≥80/<8038 (32.2)/99 (24.1)
Gender0.360
 Male/female78 (24.5)/59 (28.1)
BMI0.002*
 <18.58 (16.3)
 18.5–2473 (23.1)
 > 2456 (34.4)
Hypoalbuminemia0.034*1.692 (1.119–2.559)0.013*
 Yes/no56 (31.6)/81 (23.1)
Anemia0.565
 Yes/no55 (24.7)/82 (26.9)
NRS 2002 scores0.320
 ≥3/<356 (23.8)/81 (27.6)
ASA grade0.314
 III/II, I23 (30.7)/114 (25.2)
Charlson comorbidity index0.107
 051 (23.0)
 152 (26.3)
 ≥234 (31.5)
Visceral obesity<0.001*2.482 (1.649–3.737)<0.001*
 Yes/no89 (34.1)/48 (18.0)
Previous abdominal surgery0.422
 Yes/no27 (23.1)/110 (26.8)
Tumor location0.850
 Colon/rectum73 (25.6)/64 (26.3)
TNM stage0.686
 I25 (26.0)
 II54 (24.7)
 III, IV58 (27.2)
Combined resection0.411
 Yes/no12 (31.6)/125 (25.5)
Laparoscopic-assisted surgery0.111
 Yes/no53 (22.6)/84 (28.7)

OR, Odds Ratio; CI, Confidence Interval; BMI, Body mass index; ASA, American Society of Anesthesiologists; TNM, tumor–node–metastasis.

Statistically significant (P < 0.05).

Table 4

Univariate and multivariate logistic regression analysis of risk factors for surgical complications.

FactorsUnivariate analysis
Multivariate analysis
Case with complication (%) P OR (95% CI) P
Age0.114
 ≥80/<8030 (25.4)/77 (18.8)
Gender0.100
 Male/female57 (17.9)/50 (23.8)
BMI0.080
 <18.56 (12.2)
 18.5–2462 (19.6)
 > 2439 (23.9)
Hypoalbuminemia0.239
 Yes/no41 (23.2)/66 (18.8)
Anemia0.358
 Yes/no41 (18.4)/66 (21.6)
NRS 2002 scores0.568
 ≥3/<345 (19.1)/62 (21.2)
ASA grade0.804
 III/II, I16 (21.3)/91 (20.1)
Charlson comorbidity index0.379
 041 (18.5)
 142 (21.2)
 ≥224 (22.2)
Visceral obesity0.001*2.060 (1.329–3.191)0.001*
 Yes/no68 (26.1)/39 (14.6)
Previous abdominal surgery0.333
 Yes/no20 (17.1)/87 (21.2)
Tumor location0.703
 Colon/rectum56 (19.6)/51 (21.0)
TNM stage0.720
 I19 (19.8)
 II43 (19.6)
 III, IV45 (21.1)
Combined resection0.167
 Yes/no11 (28.9)/96 (19.6)
Laparoscopic-assisted surgery0.568
 Yes/no45 (19.1)/62 (21.2)

OR, Odds Ratio; CI, Confidence Interval; BMI, Body mass index; ASA, American Society of Anesthesiologists; TNM, tumor–node–metastasis.

Statistically significant (P < 0.05).

Table 5

Univariate and multivariate logistic regression analysis of risk factors for medical complications.

FactorsUnivariate analysis
Multivariate analysis
Case with complication (%) P OR (95% CI) P
Age0.104
 ≥80/<8016 (13.6)/35 (8.5)
Gender0.932
 Male/female31 (9.7)/20 (9.5)
BMI0.022
 <18.53 (6.1)
 18.5–2425 (7.9)
 >2423 (14.1)
Hypoalbuminemia0.014*2.206 (1.224–3.977)0.008*
 Yes/no25 (14.1)/26 (7.4)
Anemia0.463
 Yes/no24 (10.8)/27 (8.9)
NRS 2002 scores0.615
 ≥3/<21 (8.9)/30 (10.2)
ASA grade0.113
 III/II, I11 (14.7)/40 (8.8)
Charlson comorbidity index0.156
 019 (8.6)
 116 (8.1)
 ≥216 (14.8)
Visceral obesity0.022*2.150 (1.170–3.953)0.014*
 Yes/no33 (12.6)/18 (6.7)
Previous abdominal surgery0.414
 Yes/no9 (7.7)/42 (10.2)
Tumor location0.876
 Colon/rectum27 (9.5)/24 (9.9)
TNM stage0.327
 I8 (8.3)
 II19 (8.7)
 III, IV24 (11.3)
Combined resection0.636
 Yes/no5 (13.2)/46 (9.4)
Laparoscopic-assisted surgery0.047*
 Yes/no16 (6.8)/35 (11.9)

OR, Odds Ratio; CI, Confidence Interval; BMI, Body mass index; ASA, American Society of Anesthesiologists; TNM, tumor–node–metastasis.

Statistically significant (P < 0.05).

Univariate and multivariate logistic regression analysis of risk factors for total complications. OR, Odds Ratio; CI, Confidence Interval; BMI, Body mass index; ASA, American Society of Anesthesiologists; TNM, tumor–node–metastasis. Statistically significant (P < 0.05). Univariate and multivariate logistic regression analysis of risk factors for surgical complications. OR, Odds Ratio; CI, Confidence Interval; BMI, Body mass index; ASA, American Society of Anesthesiologists; TNM, tumor–node–metastasis. Statistically significant (P < 0.05). Univariate and multivariate logistic regression analysis of risk factors for medical complications. OR, Odds Ratio; CI, Confidence Interval; BMI, Body mass index; ASA, American Society of Anesthesiologists; TNM, tumor–node–metastasis. Statistically significant (P < 0.05).

Discussion

The present study revealed that visceral obesity was an independent risk factor for overall, surgical and medical postoperative complications. Also, there was a significant positive association between visceral obesity and the operation of surgery, as the elderly patients with visceral obesity had longer surgical durations and less numbers of lymph nodes harvested. Multiple studies have examined the relationship between visceral obesity and postoperative outcomes. However, there was no study focus on the special population such as elderly population, which was the strength of our study. In addition, we also compared the prognostic value between BMI and visceral obesity. We found that visceral obesity was a better predictor than BMI for postoperative complications in elderly patients after colorectal cancer surgery. Recently, studies investigating the association between obesity and cancer had demonstrated that it was visceral obesity rather than generalized body fat significantly contributed to poor prognosis in patients with pancreatic cancer (26). A systematic review and meta-analysis demonstrated that visceral obesity resulted in higher morbidity, longer surgical time, and lower lymph node retrieval after colorectal cancer surgery (27), which was consistent with our findings. Furthermore, visceral obesity was shown to predict a negative prognosis after other forms of surgery, such as gastrectomy, pancreaticoduodenectomy, and nephrectomy (28–30). These findings indicated that visceral obesity could be a meaningful predictor of postoperative complications. Although previous studies suggested visceral obesity was associated with poor prognosis, the cut-off value for visceral fat area (VFA) has not been clearly defined. Since there is no standardized cut-off value for VFA, some western studies used top sex-specific quartile to define visceral obesity patients (31). Other western studies considered defining visceral obesity with VFA >163.8 cm2 in males and >80.1 cm2 in females as cut points coming from a white population undergoing gastrointestinal resection (32). As the body composition differs from distinct regions, the results of these study may not be applicable to Asian population. In Asians, the most commonly used sex-specific VFA cut-off points are 130 cm² for males and 90 cm² for females (25), which were very different from those used in western studies. Possible reasons for this difference may be different anthropometric and clinical characteristics between Asian and western population. In the present study, we used the latter cut-off value to define visceral obesity. Excessive visceral fat may result in an increase in pro-inflammatory adipocytokines, such as TNF-α, and IL-6, and in the releases free fatty acids into blood, which would break the balance of the immune reaction (33). During the postoperative period, the poor immune system could lead to an increase in the risk of postoperative complications (34). What’s more, in this study, 74 patients were diagnosed with diabetes, counting for 14% of entire population. Visceral obesity could damage the insulin signaling pathway and be associated with insulin resistance, which would cause infectious complications, especially wound infection (35). Expanded visceral fat, correlated with visceral obesity, elevates the difficulty of surgery, which may increase operative time and blood loss, resulting in higher surgical complications rates (36). Furthermore, elderly patients tend to have multiple comorbidities, which may lead to a worse prognosis. For these reasons mentioned above, elderly patients with visceral obesity easily had poor prognosis. The results of this study indicated that we cannot ignore the preoperative diagnosis and intervention of visceral obesity in elderly patients with CRC. For surgeons, when making an operation choice, elderly patients with visceral obesity should be more carefully considered. Previous studies concluded that physical exercise is beneficial for preventing abdominal fat accumulation (37, 38). What’s more, a retrospective cohort study reported that increased VFA could cause reduced lung function (39). This finding is in accordance with results presented in this study. In Table 2, it can be noticed that patients in VO group suffered more pulmonary complications than non-VO group. For elderly patients with visceral obesity, exercise therapy prior to colorectal surgery should be widely implemented to improve physical condition and pulmonary function. In term of lymph nodes harvested, the result of the present study concluded that visceral obesity patients had less number of dissected lymph nodes, while there is no significant differences in the number of positive lymph node. A recent study revealed that visceral obesity patients were less likely to have metastatic lymph nodes involvement in colorectal cancer and gastric cancer (40–42). There may be two explanations for this finding. One hypothesis is that it is more difficult to harvest an appropriate number of lymph nodes in visceral obesity patients because the excessive amounts of intra-abdominal adipose tissue accumulation increased the difficulty of surgery and limited accessibility to some deep lymph nodes. Another possible explanation is distinct microenvironments. Previous studies demonstrated that visceral obesity may create a harsh microenvironment for CRC cells which suppresses the invasion and growth of cancer cells (43). Thus, further studies are needed to validate the relationship between visceral obesity and metastatic lymph node in elderly patients with CRC. In the present study, hypoalbuminemia, suggesting a poor nutritional status, also proved to be an independent risk factor for overall and medical complications. Due to the low protein intake in the potential malignant process of elderly patients, hypoalbuminemia was frequently observed in elderly patients. A possible mechanism is that hypoalbuminemia is a marker of systemic immunoinflammatory response to surgery, malnutrition, and cancer cachexia. It can be a prognostic tool of postoperative complications (44). Therefore, early identification and intervention in elderly patient with CRC and hypoalbuminemia would reduce the rate of postoperative complications. In addition, hypoproteinemia can be treated with oral nutritional supplements or an intravenous infusion of albumin, which can be a part of pre-rehabilitation program before surgery. There were several limitations in this study. First, as there were no consensus reference cut-offs of VFA for severe visceral obesity, it was not classified in this study. Second, there was no relevant data for prediabetes or dyslipidaemia. Third, the long-term prognosis was not analyzed in this study. Long-term follow-up data should be collected and analyzed in future studies as the research continues.

Conclusions

In conclusion, the present study demonstrated that elderly patients with visceral obesity, evaluated by VFA, exhibited a higher rate of postoperative complications after resection for CRC. Moreover, preoperative poorly controlled hypoalbuminemia and visceral obesity were independent risk factors for overall and medical complications. Visceral obesity was an independent risk factor for surgical complications. Therefore, as the population gets older and more susceptible to obesity, visceral obesity can be a clinical predictor for CRC resection in elderly patients.
  44 in total

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Authors:  Pierre A Clavien; Jeffrey Barkun; Michelle L de Oliveira; Jean Nicolas Vauthey; Daniel Dindo; Richard D Schulick; Eduardo de Santibañes; Juan Pekolj; Ksenija Slankamenac; Claudio Bassi; Rolf Graf; René Vonlanthen; Robert Padbury; John L Cameron; Masatoshi Makuuchi
Journal:  Ann Surg       Date:  2009-08       Impact factor: 12.969

2.  Metabolic Dysfunction, Obesity, and Survival Among Patients With Early-Stage Colorectal Cancer.

Authors:  Elizabeth M Cespedes Feliciano; Candyce H Kroenke; Jeffrey A Meyerhardt; Carla M Prado; Patrick T Bradshaw; Andrew J Dannenberg; Marilyn L Kwan; Jingjie Xiao; Charles Quesenberry; Erin K Weltzien; Adrienne L Castillo; Bette J Caan
Journal:  J Clin Oncol       Date:  2016-10-20       Impact factor: 44.544

3.  Association of physical activity and visceral adipose tissue in older women and men.

Authors:  Steven E Riechman; Robert E Schoen; Joel L Weissfeld; F Leland Thaete; Andrea M Kriska
Journal:  Obes Res       Date:  2002-10

4.  Sarcopenic obesity and inflammation in the InCHIANTI study.

Authors:  Matthew A Schrager; E Jeffrey Metter; Eleanor Simonsick; Alessandro Ble; Stefania Bandinelli; Fulvio Lauretani; Luigi Ferrucci
Journal:  J Appl Physiol (1985)       Date:  2006-11-09

5.  High mortality rates after nonelective colon cancer resection: results of a national audit.

Authors:  I S Bakker; H S Snijders; I Grossmann; T M Karsten; K Havenga; T Wiggers
Journal:  Colorectal Dis       Date:  2016-06       Impact factor: 3.788

6.  Impact of visceral obesity and sarcobesity on surgical outcomes and recovery after laparoscopic resection for colorectal cancer.

Authors:  C Pedrazzani; C Conti; G A Zamboni; M Chincarini; G Turri; A Valdegamberi; A Guglielmi
Journal:  Clin Nutr       Date:  2020-04-11       Impact factor: 7.324

Review 7.  Surgical Considerations for Older Adults With Cancer: A Multidimensional, Multiphase Pathway to Improve Care.

Authors:  Isacco Montroni; Nicole M Saur; Armin Shahrokni; Pasithorn A Suwanabol; Tyler R Chesney
Journal:  J Clin Oncol       Date:  2021-05-27       Impact factor: 44.544

8.  Metabolic syndrome contributes to an increased recurrence risk of non-metastatic colorectal cancer.

Authors:  Jie You; Wen-Yue Liu; Gui-Qi Zhu; Ou-Chen Wang; Rui-Min Ma; Gui-Qian Huang; Ke-Qing Shi; Gui-Long Guo; Martin Braddock; Ming-Hua Zheng
Journal:  Oncotarget       Date:  2015-08-14

9.  Preoperative malnutrition with mild hypoalbuminemia associated with postoperative mortality and morbidity of colorectal cancer: a propensity score matching study.

Authors:  Wan-Hsiang Hu; Samuel Eisenstein; Lisa Parry; Sonia Ramamoorthy
Journal:  Nutr J       Date:  2019-06-28       Impact factor: 3.271

10.  Association between Abdominal Obesity and Incident Colorectal Cancer: A Nationwide Cohort Study in Korea.

Authors:  Ga Eun Nam; Se-Jin Baek; Hong Bae Choi; Kyungdo Han; Jung-Myun Kwak; Jin Kim; Seon-Hahn Kim
Journal:  Cancers (Basel)       Date:  2020-05-26       Impact factor: 6.639

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