Literature DB >> 31788654

Visceral obesity is a preoperative risk factor for postoperative ileus after surgery for colorectal cancer: Single-institution retrospective analysis.

Yoshihiro Morimoto1, Hidekazu Takahashi1, Makoto Fujii2, Norikatsu Miyoshi1, Mamoru Uemura1, Chu Matsuda1, Hirofumi Yamamoto1, Tsunekazu Mizushima1,3, Masaki Mori4, Yuichiro Doki1.   

Abstract

AIM: Visceral obesity (VO) reportedly has a stronger association with complications after colorectal surgery than does body mass index. Here, we retrospectively assessed VO as a risk factor for postoperative ileus (POI) after colorectal resection in patients with colorectal cancer.
METHODS: This study included 417 consecutive patients with colorectal cancer who underwent elective surgery at our institute from January 2010 to December 2012. Visceral fat area (VFA) was calculated by image analysis software. VO was defined as VFA ≥100 cm2. We assessed 49 factors, including VO, comorbidities, surgical procedure, and postoperative complications. Data were analyzed using a propensity score-matching strategy.
RESULTS: Postoperative ileus occurred in 18 patients (4.3%) from the entire cohort, and in 14 (5.5%) of the 256 matched patients. Multivariate analysis (n = 417 patients) showed that significant risk factors for POI included VO (OR 7.9, 95% confidence interval [CI] 1.9-32.1, P = .004), open surgery (OR 6.4, 95% CI 1.6-26.7, P = .010), and pelvic/intra-abdominal abscess (OR 11.0, 95% CI 1.1-110.2, P = .041). Propensity score matching showed two independent risk factors in the multivariate analysis: VO (OR 6.2, 95% CI 1.3-30.4, P = .025) and open surgery (OR 9.1, 95% CI 2.0-40.5, P = .004).
CONCLUSION: Visceral obesity may be an independent risk factor for POI in patients with colorectal cancer.
© 2019 The Authors. Annals of Gastroenterological Surgery published by John Wiley & Sons Australia, Ltd on behalf of The Japanese Society of Gastroenterology.

Entities:  

Keywords:  colorectal cancer; ileus; obesity; postoperative complication; surgery

Year:  2019        PMID: 31788654      PMCID: PMC6876266          DOI: 10.1002/ags3.12291

Source DB:  PubMed          Journal:  Ann Gastroenterol Surg        ISSN: 2475-0328


INTRODUCTION

Despite remarkable progress in the field of colorectal surgery, postoperative complications remain a major problem during the course of colorectal cancer treatment.1, 2, 3, 4 After colorectal surgery, postoperative ileus (POI) occurs at a frequency of 10%‐17%, resulting in longer hospital stays and higher costs.3, 4, 5, 6, 7 POI is characterized by lack of bowel sounds, delayed passage of flatus and stool, abdominal distension, nausea, vomiting, and pain.5, 7 Postoperative complications, including POI, after surgery for rectal cancer are reportedly associated with delays in adjuvant chemotherapy, and patients who receive delayed adjuvant chemotherapy have worse recurrence rates and worse overall survival than patients who receive chemotherapy within 8 weeks of surgery.8 Preoperative identification of risk factors could enable improved postoperative management for patients at higher risk of complications. Prior studies have assessed the risk factors for POI, including male gender, peripheral vascular disease, respiratory comorbidity, preoperative albumin, stoma construction, operation lasting over 3 hours, conversion to open surgery, and intra‐abdominal surgical site infection.3, 5, 9 Compared to open surgery, laparoscopic colorectal surgery is associated with lower incidence of postoperative bowel obstruction.10 Some studies have reported that body mass index (BMI), which is widely used for the assessment of general obesity, is also a risk factor for POI.6, 11 However, recent findings suggest that, compared to BMI, visceral obesity (VO) is more strongly associated with complications after colorectal surgery.12, 13 In an analysis of 338 consecutive patients with colon cancer, Watanabe et al reported that VO was more strongly related to the incidence of anastomotic leakage and surgical site infection than high BMI.13 However, to the best of our knowledge, no study has shown that VO is a risk factor for POI after surgery for colorectal cancer. In the present study, we assessed whether VO is a risk factor for POI among patients with primary colorectal cancer.

METHODS

Study population

This study involved patients with primary colorectal cancer who underwent elective surgery at Osaka University Hospital between January 2010 and December 2012. We included patients who underwent one of 12 surgical procedures: ileocecal resection, right hemicolectomy, transverse colectomy, left hemicolectomy, sigmoidectomy, anterior resection, low anterior resection, super‐low anterior resection, abdominoperineal resection, intersphincteric resection, Hartmann's operation, or total pelvic exenteration. Patients who underwent subtotal colectomy, total colectomy, or two different procedures (eg, ileocecal resection and sigmoidectomy) were systematically excluded (Figure 1). All patients provided informed consent, and patient anonymity was preserved. This study was approved by the ethics committee at our institution.
Figure 1

Flow diagram of patient inclusion in the present study. VO, visceral obesity

Flow diagram of patient inclusion in the present study. VO, visceral obesity

Definitions

Postoperative ileus was defined as a Clavien‐Dindo grade II or higher ileus within 30 days after surgery. Ileus was diagnosed when patients complained of nausea, vomiting, or abdominal distension, and dilatation of the small bowel was radiologically confirmed without obvious small bowel obstruction.14 All patients underwent computed tomography (CT) prior to surgery, and visceral fat area (VFA) was calculated at the umbilicus level using the SYNAPSE VINCENT (Fuji Medical Systems, Tokyo, Japan) 3‐D image analysis system. Visceral fat, which has a Hounsfield unit threshold of −150 to −30, was coloured red in the images and its area calculated automatically (Figure 2). VFA ≥100 cm2 was considered to indicate VO.12, 15, 16
Figure 2

Images from the SYNAPSE VINCENT (Fuji Medical Systems, Tokyo, Japan) 3‐D image‐analysis system. Visceral fat is coloured in red, and its area was automatically calculated. A, Image from a patient with visceral obesity (visceral fat area = 231 cm2). B, Image from a patient without visceral obesity (visceral fat area = 23 cm2)

Images from the SYNAPSE VINCENT (Fuji Medical Systems, Tokyo, Japan) 3‐D image‐analysis system. Visceral fat is coloured in red, and its area was automatically calculated. A, Image from a patient with visceral obesity (visceral fat area = 231 cm2). B, Image from a patient without visceral obesity (visceral fat area = 23 cm2)

Data collection

We retrospectively collected demographic and clinicopathological data, including gender, age, BMI, VFA, comorbidities (cardiac comorbidity, neurological comorbidity, hypertension, pulmonary comorbidity, and diabetes mellitus), steroid use, American Society of Anesthesiologists (ASA) physical status classification, neoadjuvant chemotherapy, history of previous abdominal operation, preoperative serum albumin, tumor location, and pathological TNM stage. We also acquired retrospective data regarding the operation, including whether it was laparoscopic or open surgery, level of lymphadenectomy, type of surgical procedure (ie, ileocecal resection, right hemicolectomy, transverse colectomy, left hemicolectomy, sigmoidectomy, anterior resection, low anterior resection, super‐low anterior resection, abdominoperineal resection, intersphincteric resection, Hartmann's operation, or total pelvic exenteration), operative time, estimated blood loss, conversion to open surgery, resection of other organs, stoma construction, total intraoperative fluid, amount of intraoperative crystalloid, use of postoperative i.v. fentanyl, length of hospital stay, and postoperative complications (ie, ileus, intra‐abdominal haemorrhage, pelvic and intra‐abdominal abscess, anastomotic leakage, anastomotic hemorrhage, wound complications, urinary infection, and urinary retention).

Perioperative management

For mechanical bowel preparation the day before surgery, patients were given 2000 mL liquid containing polyethylene glycol in the evening, as well as two doses of 12 mg sennoside before bedtime. In the morning on the day of surgery, patients underwent an enema with 60 mL of 50% glycerine. Duration of preoperative fasting was 2 hours for liquids and 18‐24 hours for solids. Prophylaxis with i.v. antibiotics was given 5 minutes before the induction of anesthesia. During prolonged procedures, additional doses of antibiotics were given every 3 hours. To prevent deep vein thrombosis, all patients received mechanical thromboprophylaxis with well‐fitting compression stockings, and intermittent pneumatic compression was carried out during surgery and continued until the patient was fully ambulatory. The nasogastric tube was removed the day after surgery. Postoperative oral liquid intake was usually resumed the day after surgery, and a normal diet was resumed the third day after surgery. Patient mobilization was promoted the day after surgery.

Propensity score matching

We used a propensity score‐matching strategy to identify a population from which to estimate the number needed to harm for VO‐related bowel obstruction. To minimize confounding, we used patient demographics and VO risk to calculate propensity scores for VO as derived by a logistic regression model. Propensity scores were derived using gender, age, comorbidities (ie, cardiac comorbidity, neurological comorbidity, hypertension, pulmonary comorbidity, and diabetes mellitus), steroid use, ASA score, neoadjuvant chemotherapy, history of previous abdominal operation, pathological TNM stage, laparoscopic or open surgery, and surgical procedure. Propensity matching was carried out according to bowel obstruction risk using nearest‐neighbour matching without replacement, with each VO patient matched to one control patient. A caliper width of 0.2 standard deviation of the logit of the propensity score was used for the developed propensity score, and the same caliper width was used for the expected bowel obstruction and VO probability.

Statistical analysis

Demographic data were described across groups as the mean and standard deviation or median and range for continuous variables, and as the absolute count and proportion of patients for categorical variables. Student's t‐test was used for comparing quantitative variables, and Pearson χ2 test or Fisher's exact test was used to compare categorical data depending on sample size. Multivariate analysis for risk factors for POI was done using a logistic regression model including the variables with P values <.05 in the univariate analysis. Data were reported as the odds ratio (OR) and 95% confidence interval (CI). Significance was defined as a two‐sided P value <.05. All analyses were carried out using JMP Pro 13.1.0 (SAS Institute).

RESULTS

Clinicopathological characteristics of patients

A total of 417 patients were analyzed in this study. No patient died within 30 days after surgery. Table 1 summarizes the clinicopathological characteristics of all patients. Mean age was 64.9 years (SD 12.9 years), and 259 patients (62.1%) were male. Mean VFA was 88.7 cm2 (SD 48.0 cm2) and 156 patients (37.4%) met the criteria for VO. Cardiac comorbidities were seen in 64 patients (15.3%), neurological comorbidities in 18 (4.3%), hypertension in 114 (27.3%), pulmonary comorbidities in 19 (4.6%), and diabetes mellitus in 67 (16.1%).
Table 1

Clinicopathological characteristics of patients with colorectal cancer in the present study (n = 417)

Characteristic 
Gender
Female158 (37.9)
Male259 (62.1)
Age, years64.9 (SD 12.9)
Body mass index22.5 (SD 3.4)
VFA, cm2 88.7 (SD 48.0)
Comorbidities
Cardiac64 (15.3)
Neurological18 (4.3)
Hypertension114 (27.3)
Pulmonary19 (4.6)
Diabetes mellitus67 (16.1)
Steroid use9 (2.2)
ASA score
1‐2373 (89.4)
3‐444 (10.6)
Neoadjuvant chemotherapy
Yes19 (4.6)
No398 (95.4)
Previous operation
Yes93 (22.3)
No324 (77.7)
Preoperative serum albumin3.8 (SD 0.5)
Tumor location
Right‐sided colon116 (27.8)
Left‐sided colon129 (30.9)
Rectum172 (41.2)
pT stage
Tis‐T2199 (47.7)
T3‐T4218 (52.3)
pN stage
N−294 (70.5)
N+123 (29.5)
Synchronous metastasis
Yes41 (9.8)
No376 (90.2)

Data are presented as n (%) or mean (standard deviation [SD]).

Abbreviations: ASA, American Society of Anesthesiologists; VFA, visceral fat area.

Clinicopathological characteristics of patients with colorectal cancer in the present study (n = 417) Data are presented as n (%) or mean (standard deviation [SD]). Abbreviations: ASA, American Society of Anesthesiologists; VFA, visceral fat area.

Surgical and postoperative outcomes

Table 2 presents the surgical and postoperative outcomes of all patients. POI occurred in 18 patients (4.3 per cent), and was treated with fasting and prokinetic agents in six patients, nasogastric tubes in eight patients, and long tube insertion in four patients. Two cases in which adhesiolysis and band dissection were carried out were excluded from the POI group. Median length of hospital stay was significantly longer for patients with POI (median 29 days, range 14‐157 days) than patients without POI (median 15 days, range 7‐223 days; P < .001).
Table 2

Surgical and postoperative outcomes of patients with colorectal cancer after colorectal resection (n = 417)

Laparoscopic surgery
Yes378 (90.6)
No39 (9.4)
Lymphadenectomy
D11 (0.2)
D2113 (27.1)
D3303 (72.7)
Surgical procedure
Ileocecal resection44 (10.6)
RHC63 (15.1)
Transverse colectomy9 (2.2)
LHC31 (7.4)
Sigmoidectomy98 (23.5)
AR28 (6.7)
LAR70 (16.8)
SLAR36 (8.6)
APR17 (4.1)
ISR5 (1.2)
Hartmann's operation6 (1.4)
Pelvic exenteration10 (2.4)
Operative time, min230 (71‐880)
Estimated blood loss, mL50 (5‐11 150)
Conversion to open surgery6 (1.4)
Resection of other organs37 (8.9)
Stoma52 (12.5)
Intraoperative crystalloid, mL1730 (100‐6150)
Total intraoperative fluid, mL2070 (300‐13 380)
Intravenous fentanyl16 (3.8)
Complications
POI18 (4.3)
Intra‐abdominal haemorrhage4 (1.0)
Pelvic/intra‐abdominal abscess9 (2.2)
Anastomotic leakage16 (3.8)
Anastomotic haemorrhage12 (2.9)
Wound complication20 (4.8)
Urinary infection4 (1.0)
Urinary retention4 (1.0)
Length of stay, days15 (7‐223)

Data are presented as n (%) or median (range).

Abbreviations: APR, abdominoperineal resection; AR, anterior resection; ISR, intersphincteric resection; LAR, low anterior resection; LHC, left hemicolectomy; POI, postoperative ileus; RHC, right hemicolectomy; SLAR, super‐low anterior resection.

Surgical and postoperative outcomes of patients with colorectal cancer after colorectal resection (n = 417) Data are presented as n (%) or median (range). Abbreviations: APR, abdominoperineal resection; AR, anterior resection; ISR, intersphincteric resection; LAR, low anterior resection; LHC, left hemicolectomy; POI, postoperative ileus; RHC, right hemicolectomy; SLAR, super‐low anterior resection.

Univariate and multivariate analyses of POI risk factors

Univariate analysis showed that patients with and without POI differed significantly in eight factors: VO, male gender, neoadjuvant chemotherapy, open surgery, sigmoidectomy, operative time >230 minutes, estimated blood loss >50 mL, and pelvic/intra‐abdominal abscess (Table 3). We carried out a multivariate analysis with seven of these factors, excluding sigmoidectomy due to the complete separation. Three factors remained significant independent risk factors for POI: VO (OR 7.9, 95% CI 1.9‐32.1, P = .004), open surgery, (OR 6.4, 95% CI 1.6‐26.7, P = .010) and pelvic/intra‐abdominal abscess (OR 11.0, 95% CI 1.1‐110.2, P = .041) (Table 3).
Table 3

Univariate and multivariate analyses for POI risk factors

 POI (n = 18)No POI (n = 399) Univariate analysis P value Multivariate analysis
Odds ratio (95% CI) P value
Male gender16 (88.9)243 (60.9) .01 7 4.1 (0.8‐21.9).091
Age, years64.9 (SD 11.4)65.9 (SD 11.9).737  
BMI ≥257 (38.9)74 (18.6).060*   
VO13 (72.2)143 (35.8) .002 7.9 (1.9‐32.1) .004
Comorbidities
Cardiac comorbidity1 (5.6)63 (15.8).331*   
Neurological comorbidity0 (0)18 (4.5)1.000*   
Hypertension6 (33.3)108 (27.1).591*   
Pulmonary comorbidity1 (5.6)18 (4.5).576*   
Diabetes mellitus4 (22.2)63 (15.8).508*   
Steroid use0 (0)9 (2.3)1.000*   
ASA score 3‐40 (0)44 (11.0).238*   
Neoadjuvant chemotherapy4 (22.2)15 (3.8) .006 * 1.5 (0.2‐11.6).719
Previous operation2 (11.1)91 (22.8).385*   
Preoperative serum albumin3.9 (SD 0.12)3.8 (SD 0.03).424  
Tumor location
Right‐sided colon4 (22.2)112 (28.1).588  
Rectum11 (61.1)161 (40.4).008  
pT3‐4 stage10 (55.6)208 (52.1).776  
pN+ stage4 (22.2)119 (29.8).604*   
Synchronous metastasis4 (22.2)37 (9.3).089*   
Open surgery7 (38.9)32 (8.0) <.001 * 6.4 (1.6‐26.7) .010
D3 lymphadenectomy14 (77.9)289 (72.4).619  
Surgical procedure
Ileocecal resection1 (5.6)43 (10.8).707*   
Right hemicolectomy3 (16.7)60 (15.0).743*   
Transverse colectomy0 (0)9 (2.3)1.000*   
Left hemicolectomy3 (16.7)28 (7.0).142*   
Sigmoidectomy0 (0)98 (24.6) .010 *
Anterior resection3 (16.7)25 (6.3).112*   
Low anterior resection3 (16.7)67 (16.8)1.000*   
Super‐low anterior resection2 (11.1)34 (8.5).662*   
Abdominoperineal resection0 (0)17 (4.3)1.000*   
Intersphincteric resection0 (0)3 (0.8)1.000*   
Hartmann's operation1 (5.6)2 (0.5).124*   
Pelvic exenteration2 (11.1)8 (2.0).065*   
Operative time >230 min14 (77.8)194 (48.6) .016 1.7 (0.4‐6.7).460
Estimated blood loss >50 mL15 (83.3)165 (41.4) <.001 2.7 (0.6‐11.7).185
Conversion to open surgery0 (0)6 (1.5)1.000*   
Resection of other organs4 (22.2)33 (8.3).065*   
Stoma4 (22.2)48 (12.0).261*   
Intraoperative crystalloid >1730 mL12 (66.7)195 (48.9).140  
Total intraoperative fluid >2070 mL13 (72.2)195 (48.9).053  
Intravenous fentanyl2 (11.1)14 (3.5).148*   
Complications
Intra‐abdominal hemorrhage1 (5.6)3 (0.8).162*   
Pelvic/intra‐abdominal abscess3 (16.7)6 (1.5) .005 * 11.0 (1.1‐110.2 ) .041
Anastomotic leakage1 (5.6)11 (2.8).415*   
Anastomotic hemorrhage1 (5.9)8 (2.0).424*   
Wound complication0 (0)20 (5.0)1.000*   
Urinary infection0 (0)4 (1.0)1.000*   
Urinary retention1 (5.6)3 (0.8).162*   

Data are presented as n (%) or mean (standard deviation [SD]) unless otherwise noted.

Abbreviations: ASA, American Society of Anesthesiologists; BMI, body mass index; POI, postoperative ileus; VO, visceral obesity.

*Fisher's exact test. Bold text indicates a statistically significant difference with a P‐value less than 0.05.

Univariate and multivariate analyses for POI risk factors Data are presented as n (%) or mean (standard deviation [SD]) unless otherwise noted. Abbreviations: ASA, American Society of Anesthesiologists; BMI, body mass index; POI, postoperative ileus; VO, visceral obesity. *Fisher's exact test. Bold text indicates a statistically significant difference with a P‐value less than 0.05. To reduce the possibility of selection bias, we conducted propensity score matching. A total of 256 cases were matched (128 cases each). Table 4 presents their clinicopathological characteristics and preoperative features. Among all 417 patients, patients with and without VO had significant differences in gender, hypertension, diabetes mellitus, neoadjuvant chemotherapy, preoperative serum albumin, and synchronous metastasis. After matching, the two groups did not show any significant differences in clinicopathological characteristics and preoperative features (Table 4).
Table 4

Clinicopathological characteristics and preoperative features of patients

 All patientsMatched patients
VO (n = 156)no VO (n = 261) P valueVO (n = 128)no VO (n = 128) P value
Gender, male119 (76.3)140 (53.6) <.001 92 (71.9)93 (72.7).889
Age, years65.4 (SD 1.0)64.6 (SD 0.8).51065.3 (SD 1.1)65.5 (SD 1.1).881
Comorbidities
Cardiac comorbidity25 (16.0)39 (14.9).76718 (14.1)21 (16.4).602
Neurological comorbidity8 (5.1)10 (3.8).5287 (5.5)7 (5.5)1.000
Hypertension57 (36.5)57 (21.8) .001 41 (32.0)39 (30.5).787
Pulmonary comorbidity6 (3.9)13 (5.0).5915 (3.9)5 (3.9)1.000
Diabetes mellitus34 (21.8)33 (12.6) .014 25 (19.5)22 (17.2).628
Steroid use5 (3.2)4 (1.5).304* 4 (3.1)4 (3.1)1.000*
ASA score (3‐4)15 (9.6)29 (11.1).63111 (8.6)10 (7.8).820
Neoadjuvant chemotherapy3 (1.9)16 (6.1) .046 3 (2.3)1 (0.8).622*
Previous operation39 (25.0)54 (20.7).30630 (23.4)25 (19.5).447
Preoperative serum albumin3.9 (SD 0.04)3.7 (SD 0.03) .013 33.9 (SD 0.05)3.8 (SD 0.05).165
Laparoscopic surgery146 (93.6)232 (88.9).111117 (91.4)118 (92.2).820
D3 lymphadenectomy107 (68.6)196 (75.1).14987 (68.0)85 (66.4).790
Surgical procedure
Ileocecal resection13 (8.3)31 (11.9).25411 (8.6)13 (10.2).668
Right hemicolectomy29 (18.6)34 (13.0).12525 (19.5)21 (16.4).515
Transverse colectomy5 (3.2)4 (1.5).304* 3 (2.3)2 (1.6)1.000*
Left hemicolectomy15 (9.6)16 (6.1).18911 (8.6)13 (10.2).668
Sigmoidectomy31 (19.9)67 (25.7).17728 (21.9)29 (22.7).881
Anterior resection10 (6.4)18 (6.9).84910 (7.8)10 (7.8)1.000
Low anterior resection30 (19.2)40 (15.3).30223 (18.0)22 (17.2).870
Super‐low anterior resection15 (9.6)21 (8.0).58113 (10.2)13 (10.2)1.000
Abdominoperineal resection4 (2.6)13 (5.0).2273 (2.3)3 (2.3)1.000*
Intersphincteric resection0 (0)3 (1.1).296* 0 (0)0 (0)
Hartmann's operation0 (0)3 (1.1).296* 0 (0)0 (0)
Pelvic exenteration1 (0.6)9 (3.4).098* 1 (0.8)0 (0)1.000*
pT (3‐4)85 (54.5)133 (51.0).48565 (50.8)66 (51.6).901
pN (+)45 (28.8)78 (29.9).82237 (28.9)37 (28.9)1.000
Synchronous metastasis22 (14.1)19 (7.3) .024 11 (8.6)12 (9.4).827

Data are presented as n (%) or mean (standard deviation [SD]).

Abbreviations: ASA, American Society of Anesthesiologists; VO, visceral obesity.

*Fisher's exact test. Bold text indicates a statistically significant difference with a P‐value less than 0.05.

Clinicopathological characteristics and preoperative features of patients Data are presented as n (%) or mean (standard deviation [SD]). Abbreviations: ASA, American Society of Anesthesiologists; VO, visceral obesity. *Fisher's exact test. Bold text indicates a statistically significant difference with a P‐value less than 0.05.

Surgical and postoperative outcomes in matched patients

Table 5 shows the surgical and postoperative outcomes of the 256 matched patients. POI occurred in 14 (5.5 per cent) of the 256 matched patients and was treated with fasting and prokinetic agents in six patients, nasogastric tubes in seven patients, and long tube insertion in one patient. Median length of hospital stay was significantly longer among patients with POI (median 26 days, range 14‐50 days) than among patients without POI (median 15 days, range 8‐90 days; P = .012).
Table 5

Surgical and postoperative outcomes for matched patients (n = 256)

Laparoscopic surgery
Yes235 (91.8)
No21 (8.2)
Lymphadenectomy
D11 (0.4)
D283 (32.4)
D3172 (67.2)
Operative time, min228.5 (113‐729)
Estimated blood loss, mL45 (5‐5660)
Conversion to open surgery5 (2.0)
Resection of other organs17 (6.6)
Stoma24 (9.4)
Intraoperative crystalloid, mL1750 (300‐6150)
Total intraoperative fluid, mL2100 (300‐10 250)
Intravenous fentanyl7 (2.7)
Complications
POI14 (5.5)
Intra‐abdominal hemorrhage1 (0.4)
Pelvic/intra‐abdominal abscess4 (1.6)
Anastomotic leakage12 (4.7)
Anastomotic hemorrhage8 (3.1)
Wound complication13 (5.1)
Urinary infection1 (0.4)
Urinary retention2 (0.8)
Length of stay, days15 (8‐90)

Data are presented as median (range) or n (%).

Abbreviation: POI, postoperative ileus.

Surgical and postoperative outcomes for matched patients (n = 256) Data are presented as median (range) or n (%). Abbreviation: POI, postoperative ileus.

Univariate and multivariate analyses of POI risk factors in matched patients

Univariate analysis showed that patients with and without POI had significantly different rates of VO, open surgery, operation time >228.5 minutes, and estimated blood loss >50 mL (Table 6). Two of these factors, VO and open surgery, were also independent risk factors in the multivariate analysis: VO (OR 6.2, 95% CI 1.3‐30.4, P = .025), and open surgery (OR 9.1, 95% CI 2.0‐40.5, P = .004).
Table 6

Univariate and multivariate analyses of POI risk factors using matched patients

 Ileus (n = 14)No ileus (n = 242) Univariate analysis P value Multivariate analysis
Odds ratio (95% CI) P value
BMI ≥255 (35.7)56 (23.1).332*   
Open surgery5 (35.7)16 (6.6) .003 * 9.1 (2.0‐40. 5) .004
D3 lymphadenectomy10 (71.4)162 (66.9)1.000*   
Intra‐abdominal hemorrhage0 (0)1 (0.4)1.000*
Pelvic/intra‐abdominal abscess1 (7.1)3 (1.2).203*
Anastomotic leakage0 (0)12 (5.0)1.000*
Anastomotic hemorrhage0 (0)8 (3.3)1.000*
Wound complication0 (0)13 (5.4)1.000*
Urinary infection0 (0)1 (0.4)1.000*
Urinary retention0 (0)2 (0.8)1.000*
Stoma3 (21.4)21 (8.7).132*
Operation time >228.5 min11 (78.6)117 (48.3) .028 3.5 (0.788‐16.0).099‐
Estimated blood loss >45 mL12 (85.7)116 (47.9) .006 2.4 (0.460‐12.8).296
Conversion to open surgery0 (0)5 (2.1)1.000*
Resection of other organs3 (21.4)14 (5.8).056*
Intraoperative crystalloid >1750 mL9 (64.3)114 (47.1).211  
Total intraoperative fluid >2100 mL8 (57.1)114 (47.1).465  
Intravenous fentanyl1 (7.1)6 (2.5).329*   
Visceral obesity12 (85.7)116 (47.9) .006 6.2 (1.3‐30.4 ) .025

Data are presented as n (%) unless otherwise noted.

Abbreviations: BMI, body mass index; POI, postoperative ileus.

*Fisher's exact test. Bold text indicates a statistically significant difference with a p‐value less than 0.05.

Univariate and multivariate analyses of POI risk factors using matched patients Data are presented as n (%) unless otherwise noted. Abbreviations: BMI, body mass index; POI, postoperative ileus. *Fisher's exact test. Bold text indicates a statistically significant difference with a p‐value less than 0.05.

DISCUSSION

Postoperative ileus is a frequent postoperative complication after colorectal surgery at our institution. POI is reported to result in more extended hospital stays and higher costs, as mentioned earlier. Therefore, we assessed the risk factors for POI in this setting. To effectively prevent POI, we must identify risk factors that can be assessed prior to surgery. In multivariate analysis including all 417 patients in our study cohort, we found that VO, open surgery, and pelvic/intra‐abdominal abscess are independent risk factors for POI. Of these, VO is a predictive factor that can be preoperatively assessed. Thus, we focused on analyzing VO as a risk factor for POI. As obesity is associated with both tumour initiation and progression in colorectal cancer,17, 18 it is commonly encountered among patients requiring colorectal surgery for colorectal cancer. Previous reports have shown that, compared to BMI, VO is more strongly associated with complications after colorectal surgery.12, 13 Among 338 patients who underwent colorectal resection for colorectal cancer, and 75 patients who underwent total gastrectomy for gastric cancer, VO was more strongly related to incidences of anastomotic leakage and surgical site infection than high BMI.13, 19 However, to the best of our knowledge, no previous study has included multivariable analysis to assess VO as a risk factor for POI, and the present study is the first to show that VO may be a risk factor for POI after surgery for colorectal cancer. Some studies have reported that BMI, which is widely used for the assessment of general obesity, is a risk factor for POI.6, 11 He et al. carried out a meta‐analysis, showing that BMI >30 is a risk factor for POI after laparoscopic colorectal surgery (OR 1.73, P = .02); however, they did not assess VO as a potential risk factor.11 In contrast, our present findings did not indicate that higher BMI is a risk factor for POI, although we used a cut‐off of 25 for higher BMI because only eight of our 417 patients had a BMI >30. This is compatible with other reports indicating that BMI is not a risk factor for POI after colorectal surgery.3, 20 In the present study, VO was an independent risk factor for POI, suggesting that VO is a more accurate predictor of POI after colorectal surgery than BMI. OR for VO and POI was 7.9 in the multivariate analysis, and 6.2 after propensity score matching, indicating that VO may have an impact on postoperative outcome as well as on POI. Preoperative assessment of VO as a predictor of POI may enable action to be taken before surgery to prevent or reduce POI. Numerous strategies for reducing POI have been explored. In a systematic review, Chapman et al showed that minimally invasive surgery, protocol‐driven recovery (eg, early feeding and opioid‐avoidance strategies), and measures to avoid major inflammatory events (eg, anastomotic leakage) offer the best chances of reducing POI.21 Most reports on VO as a risk factor for postoperative complications do not discuss the mechanisms by which adipose tissue causes inflammation. Stoffels et al showed that interleukin‐1 (IL‐1) signaling by IL‐1 receptor 1 and myeloid differentiation primary response 88 (MyD88) is required for POI development after intestinal manipulation in mice.22 Studies of adipose tissue have shown that human visceral adipose tissue, which is considered a major contributor to increased levels of circulating inflammatory cytokines, contains higher levels of IL‐1α, IL‐1β, and IL‐1R antagonist compared to subcutaneous adipose tissue.23, 24, 25 Reasonably, IL‐1α and IL‐1β, which are both major components of the IL‐1 family, may be released from adipose tissue as a result of intraoperative manipulation of the intestines and mesentery, leading to the development of POI. Median hospital stay in the present study was 14 days, even among patients without POI, although the length of hospital stay after surgery for elective colorectal cancer has been reported to be 4‐12 days.21, 26 Reason for the longer stay at our institution compared to current standards in most Western countries may be that we decide the date of discharge in part on the bed occupancy rate, as it is important for hospital management.27 Use of i.v. fentanyl after surgery was not a risk factor for POI in the present study, possibly because few patients were given i.v. fentanyl. We do not use epidural anesthesia or i.v. fentanyl after laparoscopic surgery for colorectal cancer unless we cannot control postoperative pain without opioids. Most of the patients (90.6%) underwent laparoscopic surgery, and i.v. fentanyl was given only to 16 (3.8%) of the 417 patients. The present study has several limitations. First, the retrospective design of this study has several intrinsic limitations. To reduce the risk of selection bias, we carried out propensity score matching. Second, by the definition used for POI, there was a possibility of including patients with small bowel obstruction into the POI group although we excluded two cases with blatant small bowel obstruction. However, some perioperative interventions for patients with VO will be effective prevention for both POI and small bowel obstruction. Third, this study was carried out at a single institution with a moderate number of patients. Further studies should be conducted in larger populations from multiple institutions. Fourth, we did not assess postoperative levels of IL‐1 family members in the patients, but VO can be used as a surrogate marker of these levels. Fifth, the enhanced recovery after surgery (ERAS) protocol was not introduced at our institution. POI prevention is one of the aims of the ERAS protocol,28, 29 and Ni et al reported that ERAS resulted in shorter average length of postoperative hospital stay, time to first flatus, and time to first defecation than traditional perioperative care after colorectal surgery in 1298 patients in a meta‐analysis of randomized controlled trials.29 They also reported that the overall complication rates were significantly lower with ERAS than with traditional perioperative care. Although, currently, the ERAS protocol is not common in Japan, it may be effective, especially for patients with VO. Despite these limitations, we think that the present study is of great importance because it is the first report of VO as a risk factor for POI after surgery among patients with colorectal cancer. In conclusion, the present study showed that VO is an independent risk factor for POI after colorectal resection among an entire cohort of 417 patients and among 256 matched patients. This finding enables the assessment of POI risk before surgery by checking VFA, as VFA >100 cm2 may indicate a need for perioperative interventions, such as opioid‐avoidance strategies and giving prokinetic agents before and after surgery. Furthermore, selectively introducing the ERAS protocol in Japan for patients with VO may be acceptable and effective. The present findings should be verified in a prospective multicenter study with a greater number of patients.

DISCLOSURE

Conflicts of Interest: Authors declare no conflicts of interest for this article. Author Contribution: All authors are in agreement with the content of the manuscript.
  28 in total

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Authors:  K Holte; H Kehlet
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2.  Guidelines for perioperative care in elective colonic surgery: Enhanced Recovery After Surgery (ERAS(®)) Society recommendations.

Authors:  U O Gustafsson; M J Scott; W Schwenk; N Demartines; D Roulin; N Francis; C E McNaught; J Macfie; A S Liberman; M Soop; A Hill; R H Kennedy; D N Lobo; K Fearon; O Ljungqvist
Journal:  World J Surg       Date:  2013-02       Impact factor: 3.352

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Journal:  J Gastrointest Surg       Date:  2019-03-11       Impact factor: 3.452

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Journal:  Ann Surg       Date:  2011-01       Impact factor: 12.969

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Journal:  Ann Surg       Date:  2016-07       Impact factor: 12.969

7.  Does Coffee Intake Reduce Postoperative Ileus After Laparoscopic Elective Colorectal Surgery? A Prospective, Randomized Controlled Study: The Coffee Study.

Authors:  Simone Hasler-Gehrer; Michael Linecker; Andreas Keerl; Juliette Slieker; Alexandre Descloux; Robert Rosenberg; Burkhardt Seifert; Antonio Nocito
Journal:  Dis Colon Rectum       Date:  2019-08       Impact factor: 4.585

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Journal:  Mol Med       Date:  2011-03-02       Impact factor: 6.354

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Authors:  Jun Watanabe; Kenji Tatsumi; Mitsuyoshi Ota; Yusuke Suwa; Shinsuke Suzuki; Akira Watanabe; Atsushi Ishibe; Kazuteru Watanabe; Hirotoshi Akiyama; Yasushi Ichikawa; Satoshi Morita; Itaru Endo
Journal:  Int J Colorectal Dis       Date:  2013-12-03       Impact factor: 2.571

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Authors:  Hugh Colvin; Tsunekazu Mizushima; Hidetoshi Eguchi; Shuji Takiguchi; Yuichiro Doki; Masaki Mori
Journal:  Ann Gastroenterol Surg       Date:  2017-04-25
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