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. 2019 Jan 21;14(3):387–393. doi: 10.5114/wiitm.2019.81409

Etiological analysis of parastomal hernia by computed tomography examination

Yu Wei Pu 1, Xiao Dong Yang 1, Wei Gong 1, Chun Gen Xing 1,
PMCID: PMC6748055  PMID: 31534568

Abstract

Introduction

Parastomal hernia is a common complication after stoma formation. The definitive risk factors for parastomal hernia development remain unclear.

Aim

This study evaluated the risk factors through computed tomography (CT) scan of patients with parastomal hernia.

Material and methods

All patients who underwent an operation at our institution from January 2008 to February 2014 were included. We recorded patient-related and operation-related variables, and CT scans were checked. All the variables were analyzed with SPSS 19 to identify the risk factors for parastomal hernia formation.

Results

Of the 128 patients who underwent colostomy, 49 (38.3%) developed a parastomal hernia during a median follow-up period of 20.1 months (range: 4–84 months). Hernia development was significantly associated with the thickness of subcutaneous fat in the abdominal wall, the location of the stoma, anteroposterior diameter and horizontal diameter of the body. The defect size of the abdominal wall is another risk factor. The larger the defect size of the abdominal wall, the larger is the parastomal stoma (3.79 ±1.51 vs. 2.13 ±0.74 cm horizontally and 4.90 ±2.25 vs. 2.94 ±0.73 cm vertically, p < 0.001). The hernia contents protrude into the hernial sac through the path of the inner side more than the outer side (77.6% vs. 12.2%).

Conclusions

Our findings in Chinese patients with parastomal hernia match those from Western countries: obesity, the location of the stoma, and the defect size of the abdominal wall are significant risk factors for parastomal hernia formation. The mesenteric region is a weak area, which is a site prone to parastomal hernia, and should be protected.

Keywords: parastomal hernia, risk factors, computed tomography

Introduction

Parastomal hernia is a common complication after sigmoid colostomy, and the incidence is different in different literatures, up to 52% [15]. The application of imaging technology makes the diagnosis of side parastomal hernia more certain, and the incidence can be as high as 78% [6]. Patients usually have a high incidence within the first year of the operation, and it increases with the duration of follow-up [710]. Along with the rising incidence of colorectal cancer, this complication is more and more prominent. Because of hernia bulging, the ostomy bag was difficult to attach to the skin, and fecal overflow causes inflammation around the colostomy, leading to nursing difficulties [11, 12]. A huge hernia can result in abdominal wall prolapse, in addition to the cosmetic effect, but more important is the effect on daily life, with lower quality of life. Serious parastomal hernia surgery is needed, but the complication rate of use of mesh patch repair surgery is high, and in severe cases can lead to death [13]. At present, there are two ways to prevent the occurrence of parastomal hernia. One is prophylactic mesh application during colostomy [14]. The other is to further study the mechanism, and change the traditional method of colostomy.

Aim

The diagnosis of parastomal hernia depends on physical examination. However, with the development of imaging, we can study more intuitively, then the imaging results showed that the actual parastomal hernia incidence is much higher than shown by physical examination [3, 6]. The imaging data can provide more information, such as abdominal wall defect size, hernia contents and the prominent position of hernia contents, etc. Through the measurement function carried out by the software, the process of colostomy can be dynamically studied.

The analysis of the risk factors of hernia comes from the western countries, but whether it is suitable for Chinese patients is debatable. This is a retrospective study of 128 patients with sigmoid colostomy in our hospital from January 2008 to February 2014, using imaging data to study the characteristics of hernia, analyze the risk factors, infer the pathogenesis, and to provide a theoretical basis for prevention of its occurrence.

Material and methods

There were 128 patients, 80 males and 48 females, age 28–88 years old (median: 62). There were 123 cases of rectal cancer (113 patients accepted Miles surgery and 10 patients accepted Hartmann surgery), and 5 cases of rectal or sigmoid perforation. During the follow-up, the patients underwent physical examination, and 124 cases were examined by computed tomography (CT) and 4 cases were diagnosed by physical examination without CT (Photos 1, 2). The median follow-up period is 20.1 months (range: 4–84 months). The obvious bulging colostomy is the clinical diagnosis standard. Computed tomography diagnosis of abdominal CT was in accordance with Moreno-Matias [15]. After surgery, the patient was scheduled to hospitalization or outpatient follow-up. During the follow-up, the patients underwent routine examination, including physical examination, blood test, blood biochemical examination, and abdominal X-ray examination. The information of patients, including gender, age, albumin, smoking status, presence of elevated intra-abdominal pressure situation (chronic cough, constipation, prostate hypertrophy), stoma separation, stoma infection, and stoma necrosis, was collected. Through the CT scan, we diagnosed the parastomal hernia, and recorded the position of the stoma, position of the hernia content bulging, type of parastomal hernia, measuring umbilical level subcutaneous fat thickness, thickness of right rectus muscle, umbilical horizontal anteroposterior diameter and the upper and lower horizontal size of the stoma.

Photo 1.

Photo 1

A 71-year-old woman with parastomal hernia had undergone Hartmann surgery

Photo 2.

Photo 2

The CT scan of a 71-year-old woman with parastomal hernia

Statistical analysis

We used SPSS 19 software for statistical analysis. The first step: the experimental group of parastomal hernia and the control group of non-parastomal hernia make the Pearson χ2 and T test separately to conduct risk factor analysis. According to the results of the first step, single factor analysis was performed for variables with significant statistical differences, into the Logistic regression model (backward) in search of the independent risk factors. The third, The relationship between the size of the hernia sac and the size of the abdominal wall defect was analyzed by paired-samples T test (double side).

Results

The patient’s clinical data are shown in Table I. This study included 128 patients, 80 males and 48 females; the median age was 62 (range: 28–88 years old). There were 17 (13.1%) cases of diabetes. There were 123 cases of rectal cancer (113 cases with the Mile’s and Hartmann’s 10 cases), 5 cases of rectal or sigmoid perforation. There were 14 (10.9%) patients with perioperative colostomy separation, necrosis or infection. There were 32 (25%) cases of laparoscopic surgery and 96 (75%) cases of open operations. Follow-up time: 6–84 months (average: 20.1 months).

Table I.

Clinical data

Parameter Value
Sex:
 Male 80
 Female 48
Age [months] 6–84 (mean: 20.1)
Surgical method:
 Miles 113
 Hartmann’s 10
 Sigmoid stoma 5
Laparoscopic surgery 32
Open operation 96
Colostomy separation, necrosis or infection 14
Parastomal hernia:
 No 79
 Yes 49
Diabetes 17

Of the 128 patients, 49 (38.3%) cases had a parastomal hernia, and occurred at the earliest 4 months and 60 months at the latest after surgery. Statistical analysis showed that (Table II): the subcutaneous fat thickness (p < 0.001), waist circumference (p < 0.001), stoma formation pass rectus abdominis (p = 0.02) and size of stoma are risk factors for parastomal hernia. The stoma size of patients with parastomal hernia is obviously greater than that of patients without parastomal hernia (3.79 ±1.51 vs. 2.13 ±0.74 cm horizontally and 4.90 ±2.25 vs. 2.94 ±0.73 cm vertically, p < 0.001) (Table II).

Table II.

Analysis of parastomal hernia risk factors (Pearson χ2 and T test)

Parameter Parastomal hernia (+) Parastomal hernia (–) P-value
Sex: 0.542
 Male 29 51
 Female 20 28
Age 62.96 ±10.90 60.96 ±12.87 0.368
Albumin 37.68 ±13.06 36.91 ±11.77 0.730
Diabetes: 0792
 Yes 7 10
 No 42 69
Smoking status: 0.410
 Yes 13 16
 No 36 63
Laparoscopic surgery: 0.852
 Yes 12 20
 No 37 57
Thickness of umbilical level subcutaneous [cm] 2.06 ±0.71 1.46 ±0.79 < 0.001
Thickness of right rectus muscle [cm] 0.99 ±0.27 0.98 ±0.27 0.834
Umbilical horizontal anteroposterior diameter [cm] 21.01 ±2.60 18.90 ±3.01 < 0.001
Umbilical horizontal diameter [cm] 31.37 ±2.62 29.21 ±3.38 < 0.001
Abdominal wall defect (horizontal) [cm] 3.79 ±1.51 2.13 ±0.74 < 0.001
Abdominal wall defect (the upper and lower direction) [cm] 4.90 ±2.25 2.94 ±0.73 < 0.001
Stoma position: 0.020
 Pass rectus abdominis muscle (60) 17 43
 Pass beside rectus abdominis muscle (66) 32 34
Colostomy separation, necrosis or infection: 0.350
 Yes 7 7
 No 42 72

In Table II, the items for which p < 0.05 was obtained by the logistic regression model include level of umbilical horizontal fat thickness, umbilical horizontal anteroposterior diameter, the left and right umbilical horizontal diameter, the size of the abdominal wall defect (horizontal, upper and lower diameter) and the position of the stoma. The results showed that the thickness of subcutaneous fat, size of stoma and position of the stoma are independent risk factors (Table III).

Table III.

Logistic stepwise regression model

Parameter B value Standard error P-value
Thickness of umbilical level subcutaneous 1.007 0.404 0.013
Abdominal wall defect (horizontal) 0.903 0.454 0.046
Abdominal wall defect (upper and lower direction) 1.287 0.418 0.002
Stoma position –1.430 0.833 0.086
Constant –8.861 1.734 < 0.001

With paired samples T test analysis of the relationship between the abdominal wall defect size and the size of the hernial sac, the result showed that the greater the abdominal wall defect, the greater was the size of the hernial sac (p = 0.001, transverse dimension; p = 0.002, vertical dimension). Hernial sac size is not associated with the location of the colostomy (Table IV).

Table IV.

Relationship between size of abdominal wall defect and size of hernial sac

Pass rectus abdominis muscle Pass beside rectus abdominis muscle P-value
Size of hernial sac (horizontal) [cm] 8.17 ±2.99 9.32 ±3.77 0.278
Size of hernial sac (the upper and lower direction) [cm] 7.98 ±3.17 9.31 ±3.44 0.192

The results showed that the majority of hernia contents bulging was located in the medial part of the stoma (including the upper medial and lower medial), which is 77.6% (38 patients). The rate of hernia contents bulging located at the lateral part of the stoma is 12.2% (6 patients) (including the upper lateral and lower lateral) (Table V).

Table V.

Location of hernia contents bulging

Location of hernia contents bulging N
Medial 10
Lateral 1
Upper 1
Lower 4
Upper medial 17
Lower medial 11
Upper lateral 4
Lower lateral 1

Discussion

Parastomal hernia is a common long-term complication after enterostomy. There are many pathogenic factors, there is no consensus on the treatment method, and there is no recognized classification in the industry, so it is difficult to conduct a rigorous comparative study. The European Hernia Society (EHS) organized a special meeting of experts on parastomal hernia in Poland in April 2012. Based on the literature review of parastomal hernia, the current classification of parastomal hernia was evaluated and a new criterion for the classification of parastomal hernia was established [16]. Gil and Szczepkowski’s classification includes concomitant midline incisional hernia [17]. In 2017, the European Hernia Society published guidelines on the prevention and treatment of parastomal hernia. This is the first international guideline for the treatment of parastomal hernia [18].

In recent years, the incidence of colorectal cancer has increased year by year. A number of patients need to undergo colostomy surgery, which will create the problem of psychological and physiological aspects. Parastomal hernia is the most common complication of colostomy, often leading to fecal leakage, skin inflammation, and decreased quality of life. A few patients will experience intestinal obstruction, small bowel incarceration, necrosis and perforation. It is important to distinguish between surgical and patient variables of the risk factors associated with the development of a parastomal hernia [19]. Pilgrim et al. reported 3 risk factors of parastomal hernial: (1) disease process factors: including obesity, diabetes, ulcerative colitis, other abdominal hernia, intra-abdominal pressure factors, chronic obstructive airway disease, postoperative infection, application of hormone and malignant disease. (2) Patient factors: including age, smoking and malnutrition. (3) Technical factors: including whether to perform an emergency operation and size of the stoma [20]. In the case of parastomal fistula repair, not only increased pain of the patient, but also the operation have certain complications. In 2013, Henriksen et al. reported 174 cases of parastomal hernia repair in which a synthetic material patch was placed extraperitoneally [21]. The complication rare of surgery was 13.2%. Ninetten patients underwent a second operation and 6 cases of deep wound infection (3.45%) were the most important causes. The mortality rate was 6.3% within 30 days. There are two existing countermeasures: one is the placement of mesh in the extraperitoneal area at the stoma formation, which is reported more in the European and American literature [14], and the other method is to change the position of the stoma or sigmoid colostomy.

In Europe and the United States, the operation of placement of the mesh extraperitoneally to prevent parastomal hernia in the literature was reported. Zhu et al. and Cornille et al. conducted a meta-analysis to evaluate the value of this operation [14, 22]. The results showed that the operation decreased the rate of parastomal hernia obviously and did not increase colostomy complications. But the economics of the operation and postoperative quality of life of patients are reported rarely. The sample size was not sufficiently large, and this might have resulted in bias, so the value of the operation is still controversial.

Computed tomography examination can be a specific diagnosis of parastomal hernia and the results show that the detection rate of CT is higher than that of simple physical examination, up to 4 times [2325]. Computed tomography imaging can not only confirm whether there is a hernia, but also provide more information, including the size of the hernia and the position of hernia contents prominence, and provides a method of measurement. Studies indicate the risk factors of parastomal hernia: female, high body mass index, low albumin, laparoscopic surgery and peritoneal colostomy, and the location of colostomy [26, 27]. The data analysis of the high body mass index and colostomy position is consistent with our study.

According to the results of this study, the thickness of abdominal subcutaneous fat, umbilical anteroposterior diameter and horizontal diameter of patients with parastomal hernial are obviously greater than those of patients without parastomal hernia. These indicators point to the extent of the patient’s obesity and obese patients are more likely to have parastomal hernia. Obese patients have more fat tissue around their colon and larger bowel diameters. Therefore, a larger abdominal wall defect is required for the stoma. The adipose tissue adjacent to the colon is trimmed before colostomy, as much as possible to remove mesocolic adipose tissue.

This study showed that the size of the abdominal wall defect is related to the formation of hernia. We measured the defect size of the abdominal wall defect horizontally and vertically; the results showed that patients with hernia have larger dimensions than patients with no hernia in both directions (respectively 3.79 ±1.51 vs. 2.13 ±0.74 cm, 4.90 ±2.25 vs. 2.94 ±0.73 cm, p < 0.001). Based on the results, we suggested that colostomy abdominal wall defect diameter should be controlled below 3 cm. Colostomy location is another recognized risk factor. This study has the same result that the stoma pass rectus abdominis muscle, the incidence of the hernia is low. How to protect the mesangial area is an important issue. Through the way of extraperitoneal colostomy, in association with dragging out the process of rotating insufflate 180°, mesangial is located in the lateral, rear insufflate protection. This may reduce the parastomal hernia incidence.

This study showed that the majority of hernia contents bulging was located medially of the stoma, which is 77.6% (38 patients), and the rate of hernia contents bulging located laterally of the stoma is 12.2% (6 patients). Colostomy surgery requires protection of the blood supply of the colon, so the colostomy mesangial area is generally located in the medial colostomy area and this coincides with the prominent position of the hernia contents. The result indicated that the colostomy mesangial area is the weak area. Thus how to protect the colon mesangial area is an important issue. We hypothesized that through the way of extraperitoneal colostomy, rotary the bowel 180° in the proceed of dragging out, then the colon mesangial located in the lateral and the posterior has bowl protection, and this may reduce the parastomal hernia incidence.

Conclusions

The risk factors of parastomal hernia after colostomy were obesity, colostomy position, and large abdominal wall defect. The mesangial area of the colostomy is the weak area where the majority of hernia contents bulging is located. The appropriate dressing colon surrounding adipose tissue, controlling the size of the abdominal wall defect, selecting the rectus colostomy and protecting the mesangial area will help reduce parastomal hernia.

Conflict of interest

The authors declare no conflict of interest.

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