Rubén D. Balmaceda1, Leonardo Affronti1, Martín Galvarini Recabarren1, Santiago Villalobos2, Caudio Fermani2, Javier Kerman Cabo1

  1. General Surgery Service, Coloproctology Section, Sanatorio Argentino, San Juan

  2. General Surgery Service, Coloproctology Section, Hospital Luis Lagomaggiore, Mendoza

Evaluation of the learning curve of stapled hemorrhoidopexy

ABSTRACT

Introduction: There is limited evidence regarding the learning curve of stapled hemorrhoidopexy (PPH). The objective of this study is to understand the learning curve of PPH and its impact on outcomes.

Materials and Methods: A retrospective multicenter study was conducted. Patients undergoing PPH surgery between 2013 and 2021 at three surgical centers were included. Data were collected from medical records and telephone or electronic surveys. Each surgery was assigned an order number on the learning curve. Pre-, intra-, and postoperative variables were evaluated. Analysis was performed using the splitting method to determine the point of stabilization of the variables. The sample was divided into two groups, “initial” and “advanced” according to the determined order number. The variables between both groups were compared.

Results: A total of 75 patients were included. A significant differ- ence in operative time was found between the first 20 cases and the subsequent ones, which was used to divide the sample into an initial group (26 patients) and an advanced group (49 patients). The average operative time was 46.9 minutes in the initial group vs.

27.6 minutes in the advanced group (p<0.001). The average duration of analgesic use was 6.7 vs. 8.6 days (p=0.28), complica- tion rate 7.7 vs. 8.2% (p=1), symptom recurrence 34.6 vs. 26.5% (p=0.46), and high satisfaction 96.2 vs. 91.8% (p=0.43) in the initial and advanced groups, respectively.

Conclusion: Operative time for PPH surgery stabilized after surgery 20. Outcomes such as morbidity, satisfaction, and symp- tom recurrence were similar between the initial and advanced groups.

Key words: PPH, hemorrhoids, stapled hemorrhoidopexy, learning curve.


INTRODUCTION


Hemorrhoidal disease is very common and around 10% of patients may require surgical treatment to resolve their symptoms.1 One of the therapeutic options currently used for internal hemorrhoids is stapled hemorrhoidopexy or procedure for prolapse and hemorrhoids (PPH) described by Longo in 1998.2

This technique uses a circular stapler to perform a circum- ferential mucosectomy 2-4 cm above the dentate line and the corresponding mucocutaneous anastomosis, achieving prolapse reduction and dearterialization of the hemorrhoidal bundles.3 It is indicated in patients with three-bundle or circumferential prolapse, grade II, III and in selected cases, grade IV. This technique has demonstrated good results and a high level of satisfaction, with less postoperative pain and faster recovery than conventional hemorrhoidectomy.3-5 Despite wide acceptance of the technique, there is little evidence in the literature regarding the learning curve or the number of surgeries a surgeon should perform to achieve acceptable results. 1 In a survey of 42 Latin American experts on the minimum number of surgeries conducted for this study, 17% responded less than 10, 39% between 10

and 19, 34% responded 20, and 10% more than 20. At the extremes of the sample, two experts said the minimum number of surgeries was 3 and two experts said the mini- mum was 50 cases.

The learning curve refers to the fact that as experience with a motor act increases, it is performed more efficiently. This concept is extrapolated from industry and can be applied to medical procedures such as surgery.6-8 Measuring the learn- ing curve in surgical skills is challenging because many variables influence a particular surgery. These variables involve the surgeon (knowledge, practice, cognitive varia- bles, emotional variables, etc.), the patient (tissue quality, physical constitution, anatomical variants, bleeding, etc.), and the environment (operation in the operating room, lighting, variables related to support staff, time of day, etc.). The measurement should include operational variables, technical variables (surgical time, etc.), and patient outcome variables (complications, mortality, patient satisfaction, etc.). Different variables have advantages and disad- vantages. Operative variables are objective and easy to measure but have no known clinical implication, whereas outcome variables, such as postoperative pain or degree of satisfaction, usually have greater clinical significance but tend to be subjective.7 The analysis of these measurements can be done by arbitrarily dividing the sample into groups (e.g., first year versus subsequent years, first 100 cases, etc.), or by statistical methods such as the splitting method, moving average, cumulative sums, among others, in which changes in the variables during the experience are observed on the timeline.

The objective of this study was to evaluate whether there are differences in the operative variables or patient outcome variables throughout successive PPH surgeries performed by three surgeons and to determine whether there is a minimum number of surgeries after which the variables stabilize.


MATERIALS AND METHODS

A multicenter, retrospective, analytical study was conduct- ed. Data were collected from a prospective database, hospi- tal records, and a telephone or electronic survey. All patients who underwent stapled hemorrhoidopexy (PPH) performed by one of three surgeons participating in the study (surgeon A, B, and C) from 2013 to 2021 were included. All surgeons were experienced in anal surgery at the start of the PPH learning curve. Surgeon A was a coloproctology specialist at the start of his learning curve, while surgeons B and C were fellows. Surgeries in which the primary surgeon did not reach a minimum of 20 procedures were excluded. Patients who did not complete the survey or those with incorrect or missing contact information were also excluded. Patients were contacted by telephone and asked to complete a survey verbally or electronically via the Google Forms ® platform (Appendix 1).

Each patient was assigned a consecutive chronological number within the experience of each of the 3 participating surgeons.


The authors declare no conflicts of interest. Rubén D. Balmaceda. rubenbalmaceda1@gmail.com

Received: June 27, 2023. Accepted: July 18, 2024


Rubén D. Balmaceda1 0000-0002-9504-166X, Leonardo Affronti1 0000-0003-4804-323X, Martín Galvarini Recabarren1 0000-0002-1833-3298m Santiago Villalobos2 0000-0003-0728-9540 Claudio Fermani20000-0002-2528-528X, Javier Kerman Cabo1 0000-0003-1052-891X


The degree of preoperative prolapse was defined according to the Goligher classification.9 To simplify the survey and achieve greater patient adherence, abbreviated versions of validated scales for fecal incontinence (Cleveland Clinic Florida Incontinence Score – Wexner or CCFIS) and consti- pation (Wexner Constipation Score or WCS) were used.10,11 A 4-grade subjective score was used to assess continence, where 0 represents normal continence, 1 gas incontinence (CCFIS approximately 4), 2 liquid incontinence (CCFIS approximately 8), and 3 solid incontinence (CCFIS close to 12). To assess constipation, a subjective 4-grade scale was used, where 0 is the absence of constipation, 1 is mild constipation (WCS approximately 5), 2 is moderate (WCS approximately 10), and 3 is severe (WCS approximately 20 or more). The only technical or operative variable analyzed was surgical time, which was obtained from the surgical protocol and considered from the beginning of anesthesia to the end of healing. The outcome variables analyzed were hospitalization time, postoperative pain, type and days of analgesics, complications, reoperations, continence and postoperative constipation, recurrence of symptoms, satis- faction, etc. To assess pain, a 4-point ordinal scale (no, mild, moderate, severe) was used. The degree of resolution of symptoms and the degree of satisfaction were evaluated with scales from 1 to 5, where 1 was the worst value. To assess recurrence, patients were asked whether the same symptoms that prompted surgery recurred, the degree of these symptoms on a scale of 1 to 5, and the occurrence of anal symptoms different from those at baseline. To quantify the postoperative change in continence, a new variable was calculated by subtracting the preoperative value of the above-mentioned scale from the postoperative value. For example, if a patient had a preoperative score of 0 and a postoperative score of 3, the value of the subtraction would be 3, i.e., the patient's continence worsened by 3 points. The same applied to the constipation score. Patients whose scores worsened were considered for analysis. Patients were asked whether they had current symptoms at the time of the survey and whether they were receiving medical treatment. Complications were classified according to the Clavien- Dindo classification.12


Operative technique

The PPH technique was indicated for patients with 3-bundle or circumferential grade III or IV hemorrhoidal prolapse. It was also used in patients with bleeding grade II hemorrhoids with or without prolapse that did not respond to medical and non-operative treatment. No mechanical preparation was used. Prophylaxis was performed 30 minutes before induc- tion with 200 mg of ciprofloxacin and 500 mg of metronida- zole intravenously. The procedures were performed under regional or general anesthesia, in the lithotomy position. PPH-03® (Ethicon, Inc., Cincinnati, OH) and EEA Hemorrhoidal (Medtronic Inc., Minneapolis, MN) stapling devices were used. The technique described by Longo2 in 1998 was performed. The purse-string was placed 2-4 cm from the dentate line depending on the size of the prolapse, with a 2-0 polypropylene monofilament suture. Hemostasis was controlled at the suture line with 9-10 interrupted polyglactin sutures as needed.

Discharge home was granted within the first few hours, depending on the patient's condition and wishes. The first cases were supervised by surgeons experienced in the technique until approximately case number 20.

The primary objective of the study was to find the number of surgeries after which the operative or outcome variables improve and stabilize. The secondary objective was to compare postoperative variables such as morbidity, satisfac- tion, and recurrence of symptoms between initial and ad- vanced surgeries.

Statistical analysis

Data were analyzed using IBM SPSS Statistics (version 26 for Windows; SPSS Inc, Chicago, IL). Continuous variables are described in terms of mean ± standard deviation, cate- gorical variables as absolute numbers and percentages. The splitting method was used to determine the surgical order number after which there were changes in the postoperative variables, performing successive bivariate analyses by increasing the number of surgeries by 5. Normality tests were performed. Bivariate analyses were performed using the chi-square test, Fisher's test, Student's t test, and Mann- Whitney U test for independent samples, in polytomous variables, dichotomous variables with low values, quantita- tive variables with normal distribution, and quantitative variables without normal distribution, respectively. Multi- variate analyses were performed using one-way ANOVA, multiple linear regression models, or binomial logistics as appropriate. Confidence intervals (CI) of 95% were used. A p value <0.05 was considered significant.


Ethical considerations

Ethics committee approval was obtained and patients gave written consent.


RESULTS

As shown in Fig. 1, out of 185 patients initially identified, 110 were excluded, leaving 75 patients for analysis. The sample was divided according to the order number of the surgery into 5 groups that were compared regarding opera- tive time and patient outcome variables (complications, satisfaction, recurrence, etc.). The only significant differ- ence was found in the operative time between the group of 1-20 cases and the following ones, which was 46.9 vs. 27.6 min, respectively (p<0.001) (Fig. 2). Therefore, the sample was divided into two groups: initial (order number from 1 to 20, n=26) and advanced (order number from 21 to 75, n=49). The demographic and clinical characteristics of the sample and the two groups can be seen in Table 1. To rule out the influence of other variables on the operating time (surgeon, degree of prolapse, etc.) a multivariate analysis was performed using a binary logistic regression model and it was observed that the only coefficient with statistical significance was the order number (Table 2).

Both groups were comparable for age, sex, and preoperative continence. There were statistically significant differences in surgeon (surgeon B performed 65% of initial PPHs) and preoperative constipation (65.4% in the initial group vs. 34.7% in the advanced group, p=0.018). Multivariate analy- sis was performed to determine the influence of constipation on patient outcome variables and only postoperative consti- pation had an impact. There was a significant difference in the duration of follow-up (44.2 months in the initial group vs. 21.9 months in the advanced group, p<0.001). In the advanced group, there were 22.4% of patients with grade II prolapse compared to 7.7% in the initial group, p=NS.

Table 3 shows the outcome variables in both groups. Opera- tive time was significantly longer in the initial group (46.9 vs. 27.6 min, p<0.001). The mean length of hospital stay was more than twice as long in the initial group (0.62 vs. 0.29 days, p=0.011). Multivariate analysis revealed that the attending surgeon was the only variable that significantly influenced length of hospital stay (Table 4).

The presence of severe pain (level 4 and 5) in the first 24 hours and in the first bowel movements was higher in the advanced group, although without statistical significance. Opioids were used in 56.5% of patients in the advanced group vs. 34.8% of those in the initial group (p=0.09). Patients in the advanced group also reported more days of use of analgesics although without statistical significance (8.6 vs. 6.7 days, p=0.28). The mean number of days off work was equivalent in both groups (14.1, p=0.88)



28 (15%) did not answer the survey or there was no contact information

75 patients for analysis

82 (44%) PPH by

surgeons who did not reach 20 procedures


103 eligible patients

185 PPH

2013-2023

nence score after surgery vs. none in the initial group (p=0.13). The proportion of patients with worsening of constipation score was 15.4% in the initial group and 12.2% in the advanced group (OR=1.3, 95% CI=0.3–5.1, p=0.7). More than 1/3 of patients in the advanced group and ¼ of patients in the early group were symptomatic at the time of survey (p=0.49). In the initial group, only 1 patient (3.8%) had a low satisfaction score (3 or less) vs. 2 patients (4.1%) in the advanced group (p=1.0).

In multivariate analysis, the surgeon was the only variable that significantly influenced length of stay (Table 4).


DISCUSSION



26 (35%) in initial group

49 (65%) in advanced group


Figure 1. CONSORT flowchart of the study.


A total of 6 patients (8%) presented complications. The most frequent complications were hemorrhoidal thrombosis (n=2, 2.7%) and bleeding (n=2, 2.7%). One patient with hemorrhoidal thrombosis and one with bleeding required reoperation with sedation (Clavien-Dindo IIIb), and the remaining patients were treated with medical treatment (CD II). The remaining complications were urinary retention (n=1, 1.3%) and fecaloma (n=1, 1.3%), both CD II. The complication rate was similar between groups (7.7 vs. 8.2%, p=1.0). The severity of complications according to the CD classification was also comparable between both groups (CD III initial 50%, advanced 25%; p=0.54). The proportion of early reoperations did not show any difference between both groups (initial 3.8% vs. advanced 2%, p=0.64). There were no late reoperations (after 3 months of the initial surgery), in either group.

The follow-up time of the sample was 28.2 ± 23.8 months and was significantly longer in the initial group (44.2 vs. 21.9 months; p<0.001).

Thirty-four percent of patients in the initial group presented recurrence of symptoms similar to those prior to surgery, compared with 26.5% of patients in the advanced group (OR=1.5, 95% CI 0.5-4.1, p=0.46). The mean time until recurrence of symptoms was 21.5 ± 20.7 months in the initial group and 9.21 ± 11.9 months in the advanced group, with no statistical significance (p=0.13). The advanced group presented a higher frequency of new anal symptoms different from those of the initial stage (28.6 vs. 15.4%) although this was not statistically significant (p=0.20). In the advanced group, 8.2% of patients had a worsening of conti-

This is a retrospective observational study, in which the first PPH procedures performed by three surgeons were chrono- logically ordered and comparative analysis was performed on all variables in two groups, “initial” and “advanced”, increasing the cut-off point for the number of surgeries by 5, a technique known as the “split method”.

One operative variable (surgical time) and several patient outcome variables (complications, satisfaction, pain, etc.) were measured. It was observed that from the 20th PPH procedure onwards, surgical time decreased significantly and stabilized (46.9 vs. 27.6 min). Using the 20th surgery as a cut-off point, the sample was divided into “initial” and “advanced” cases. The immediate postoperative results, such as pain rates, time and type of analgesics, morbidity and severity of complications, were similar between both groups. The length of stay in days was longer in the initial surgeries (0.62 vs. 0.29 days) in the bivariate analysis, but not in the multivariate analysis (p=0.10).

The recurrence of symptoms, the appearance of different symptoms and the need for current medical treatment were comparable between both groups. No difference was ob- served in the worsening of continence or constipation be- tween groups.

It has been postulated that in PPH surgery technical defects could have a direct relationship with the results.13,14 For example, high placement of the purse-string could increase the recurrence rate by not achieving a complete reduction of the redundant mucosa. The same could occur in case of spiralization of the purse-string or lack of uniformity in the depth of the stiches. On the other hand, the placement of the purse-string very close to the dentate line could cause an increase in postoperative pain by stimulation of the somatic nociceptive fibers of this region.3

It is striking that in such a regulated surgery, where the technical details mentioned can have a negative impact, there is not much evidence about the learning curve.

In a study by Pérez-Vicente et al.,14 100 patients who un- derwent PPH were divided chronologically into two groups of 50, and comparatively analyzed regarding operative and outcome variables. Surgical time was similar in both groups. Patients in the initial group had a shorter distance from the purse-string to the dentate line and greater postoperative pain, as well as a tendency to greater bleeding.

Jongen et al.15 divided their 654 patients with PPH into the first 151 (first two years of work) and the subsequent ones, finding a higher frequency of fecal impaction and bleeding in the initial group, as well as greater dehiscence and re- operations. They found no differences in surgical time between both groups. In our series, the only variable that was modified throughout the cases ordered chronologically was the operative time, while the rest of the variables such as pain, bleeding or complications were similar between the initial and the advanced group.

More recently, in a letter to the editor by Yen et al.,1 a moving average analysis was performed to detect the specif- ic site of the learning curve where changes appear, evaluat- ing the operative time and the muscle/mucosa ratio of the mucosectomy specimen. As in the present study, an optimi- zation of the operative time was found starting from the 20th surgery, while the muscle/mucosa ratio stabilized near the 40th surgery. Although it can be theorized that a higher


muscle/mucosa ratio could negatively impact continence or other anorectal physiological parameters, by not including patient outcome variables the real clinical value of this

finding cannot be known. In our analysis, no changes were found in the variables after the 40th surgery.


Figure 2. Operative time. Mean ± 2 standard deviations of each of the 5-by-5 subgroups of the number of surgical order (one-way ANOVA). The subset of 1 to 20 cases had a significant difference with respect to the following ones (46.9 ± 11.77 vs. 27.59 ± 8.96 min; p<0.001. 95% CI).


Table 1. Clinical and demographic characteristics of patients.


Variable

Initial

n=26 (%)

Avanced

n=49 (%)

Total n=75

p

Value

Sex (female)

16 (61.5)

26 (53.1)

42

0.48

Age

47 (9)

48.9 (12.6)

48.4

0.53

ASA




0.50

I

15 (57.7)

24 (49)

39


II

11 (42.3)

23 (46.9)

34

III

0

2 (4.1)

2

Surgeon




0.014

A

5 (19.2)

21 (42.9)

26


B

17 (65.4)

15 (30.6)

32

C

4 (15.4)

13 (26.5)

17

Preoperative symptoms




0.15

Bleeding

3 (11.5)

11 (22.4)

14


Prolapse G II

2 (7.7)

11 (22.4)

13

Prolapse G III

12 (46.2)

13 (26.5)

25

Prolapse G IV

9 (34.6)

14 (28.6)

23

Preoperative continence




0.48

Normal

20 (76.9)

41 (83.7)

61


Gas incontinence

4 (15.4)

7 (14.3)

11

Liquid incontinence

2 (7.7)

3 (4)

3

Solid incontinence

0

0

0

Preoperative constipation




0.018

No Mild

Moderate Severe

9 (34.6)

14 (53.8)

1 (3.8)

2 (7.7)

32 (65.3)

17 (34.7)

0

0

41

31

1

2


Months of follow-up (Mean ± SD)

44.2 ± 24.2

21.9 ± 20.6

28.2 ± 23.8

<0.001

SD: standard deviation. G: grade. ASA: American Association of Anesthesiologists Physical Status Classification.


In this study, a difference was found in the length of hospi- talization between the initial and advanced groups (0.62 vs. 0.29 days, respectively; p=0.011). However, in multivariate analysis the only variable that significantly impacted length of stay was the surgeon in charge (Table 4). It is important to note that the groups had a significant difference in the surgeon in charge: surgeon B performed 17/26 procedures in the initial group and had a longer mean length of hospitali- zation (0.69 vs. 0.19 days, p<0.001). This is explained because surgeon B performed the procedures in a center with inpatient care, so some patients operated on in the afternoon stayed overnight. Another interesting finding was that some outcome variables were worse in the advanced group, e.g., severe pain in the first 24 hours (10.2 vs. 0), severe pain at first bowel movements (8.2 vs. 0), opioids use (56.5 vs. 34.8%) and low satisfaction (8.2 vs. 3.8), however, no difference was statistically significant. This was probably due to the larger sample size in the advanced group or to a greater liberality in the indication as mentioned above.

To our knowledge, the present study is the first to evaluate the learning curve of PPH using statistical methodology to find the minimum number of surgeries necessary to perform it efficiently, analizing both operative and outcome varia- bles. The study found that the only variable that improved throughout the learning curve of PPH surgery was surgical time, while the rate of complications, pain, hospital stay, recurrence and satisfaction were similar between the first 20 and subsequent surgeries. This may be because the first surgeries in the curve were performed under the supervision of a more qualified professional, achieving a good quality technique although with more delay.

This study has some limitations. Firstly, it is retrospective, which generates data loss for not being able to contact the patients. On the other hand, the sample size is small and it has been seen that the more patients are analyzed, the longer the learning curve.16 In addition, it has not been possible to measure other intraoperative variables apart from time, such as suture height, muscle/mucosa ratio, number of hemostatic stitches, etc., which could have contributed to improving accuracy of the estimated minimum number of surgeries necessary to learn the technique. Finally, the study is based on a survey, where the data comes from a subjective inter- pretation by the patient of their symptoms and their satisfac- tion.


Table 2. Multivariate analysis of factors that could prolong surgical time.


Variable

p Value

Order < 20

0.002

Sex

0.99

Age

0.21

ASA

0.40

Preoperative symptoms

0.52

Surgeon

0.83

CONCLUSIONS

The operative time of PPH surgery decreased significantly starting with surgery number 20. The initial cases in the learning curve did not have higher morbidity or lower patient satisfaction rates, nor did they have a negative impact on the rate of symptom recurrence.

It is important that surgeons receive prior training in the technique, both on simulators and by observing surgeries, and that they are supervised by professionals with more advanced skills.

Prospective studies are needed that more objectively analyze a greater number of operative variables (muscle/mucosa ratio, number of hemostatic stitches, distance to the dentate line, time to perform the purse-string) and of patient out- come variables.


REFERENCES


  1. Yen, M-H, K-TKiu, T-C. Chang, Learning curve of stapled hemorrhoidopexy. Asian J Surg. 2021;44(5):786-87.

  2. Longo, A. Treatment of haemorrhoidal disease by reduction of mucosa and haemorrhoidal prolapse with a cirular suturing device: a new prolcdure. Proceedings of the Sixth World Congress of Endoscopie Surgery. Rome. 1998.

  3. Bellio G, Pasquali A, Schiano di Visconte M. Stapled hemorrhoidopexy: results at 10-year follow-up. Dis Colon Rectum. 2018;61(4):491-98.

  4. Lumb KJ, Colquhoun PH, Malthaner RA, Jayaraman S. Stapled versus conventional surgery for hemorrhoids. Cochrane Database Syst Rev. 2006;(4):CD005393.

  5. Rowsell M, Bello M, Hemingway DM. Circumferential mucosectomy (stapled haemorrhoidectomy) versus conventional haemorrhoidectomy: randomised controlled trial. Lancet. 2000;355(9206):779-81.

  6. de Oliveira Filho GR. The construction of learning curves for basic skills in anesthetic procedures: an application for the cumulative sum method. Anesth Analg. 2002;95(2):411-16.

  7. Khan N, Abboudi H, Khan MS, Dasgupta P, Ahmed K. Measuring the surgical 'learning curve': methods, variables and competency. BJU Int. 2014;113(3):504-8.

  8. Cundy TP, Gattas NE, White AD, Najmaldin AS. Learning curve evaluation using cumulative summation analysis-a clinical example of pediatric robot-assisted laparoscopic pyeloplasty. J Pediatr Surg. 2015;50(8):1368-73.

  9. Lohsiriwat V. Hemorrhoids: from basic pathophysiology to clinical management. World J Gastroenterol. 2012;18(17):2009-17.

  10. Jorge JM, Wexner SD. Etiology and management of fecal incontinence. Dis Colon Rectum. 1993;36(1):77-97.

  11. Agachan F, Chen T, Pfeifer J, Reissman P, Wexner SD. A constipation scoring system to simplify evaluation and management of constipated patients. Dis Colon Rectum. 1996;39(6):681-85.

  12. Clavien PA, Barkun J, de Oliveira ML, Vauthey JN, Dindo D, Schulick RD, et al The Clavien-Dindo classification of surgical complications: five-year experience. Ann Surg. 2009;250(2):187- 96.

  13. Eberspacher C, Magliocca FM, Pontone S, Mascagni P, Fralleone L, Gallo G, et al. Stapled hemorrhoidopexy: “Mucosectomy or not only mucosectomy, this is the problem”. Front Surg. 2021;8:655257.

  14. Pérez-Vicente F, Serrano Paz P, Fernández Frías A, Arroyo Sebastián A, ,Rodríguez Hidalgo JM, Calpena Rico R, et al. Importancia de la curva de aprendizaje de la anopexia con PPH-33 para el tratamiento quirúrgico de las hemorroides. Cir Esp. 2004;76(1): 20-24.

  15. Jongen J, Bock JU, Peleikis HG, Eberstein A, Pfister K. Complications and reoperations in stapled anopexy: learning by doing. Int J Colorectal Dis. 2006;21(2):166-71.

  16. Chan KS, Wang ZK, Syn N, Goh BKP. Learning curve of laparoscopic and robotic pancreas resections: a systematic review. Surgery. 2021;170(1):194-206.


Table 3. Operative time and postoperative results in both groups. Bivariate analysis.


Variable

Initial n=26 (%)

Avanced n=49 (%)

OR (95% CI)

p

Value

Operative time (min)

46.9

27.6

NA

<0.001

Length of hospital stay (days)

0.62 ± 0.57

0.29 ± 0.46

NA

0.011

Severe pain during the first 24 hours

0

5 ± 10.2

0.9 (0.8 - 0.9)

0.157

Severe pain during the first bowel movements

0

4 ± 8.2

0.9 (0.8 - 1)

0.130

Use of opioids

8 ± 34.8

26 ± 56.5

0.4 (0.1 - 1.2)

0.089

Time on analgesics (days)

6.7 ± 3.7

8.6 ± 5.8

NA

0.280

Time off work (days)

14.1 ± 8.9

14.1± 10.3

NA

0.879

Complications CD II

CD IIIb

2 ± 7.7

1 (50)

1 (50)

4 (8.2)

3 (75)

1 (25)

0.9 (0.2 - 5.5)

3.0 (0.1-111)

1.000

0.540

Early reoperation (<1 month)

1 (3.8)

1 (2)

1.9 (0.1 - 3.2)

0.640

Late reoperation (>1 month)

0

0

1

1

Symptom recurrence

9 (34.6)

13 (26.5)

1.5 (0.5 - 4.1)

0.460

Time to recurrence (months)

21.5 ± 20.7

9.21 (11.9)

NA

0.132

Symptom recurrence more severe than at baseline

2 (7.7)

4 (8.2)

0.9 (0.2 - 5.5)

1.000

Emergence of different symptoms

4 (15.4)

14 (28.6)

0.5 (0.1 - 1.6)

0.203

Time to different symptoms (months)

8.7 (8.0)

6.9 (6.2)

NA

0.747

Worse post-preop continence*

0

4 (8.2)

NA

0.134

Worse post-preop constipation*

4 (15.4)

6 (12.2)

1.3 (0.3 - 5.1)

0.703

Current medical treatment

4 (15.4)

3 (6.1)

2.8 (0.6 - 13.5)

0.190

Current symptoms

7 (26.9)

17 (34.7)

0.7 (0.2 - 1.9)

0.490

Satisfaction 1-3†

1 (3.8)

4 (8.2)

0.5 (0.1 - 4.0)

0.43

Degree of symptom resolution 1-3†

1 (3.8)

2 (4.1)

0.9 (0.1 - 10.9)

1.000

Values are expressed as mean ± standard deviation. * Subtraction of the postoperative score from the preoperative score to determine the variation in each patient.

† Score of 1-3 (poor and average results) within a score of 1-5. OR: odds-ratio. NA: not applicable. CD: Clavien-Dindo.


Table 4. Multivariate analysis to detect variables that could modify the length of hospital stay.


Variable

p

Value

Order number

.101

Age

.061

Sex

.202

Preoperative constipation

.931

Preoperative continence

.978

Preoperative symptoms

.277

Surgeon

.003


APPENDIX 1


Survey conducted with patients electronically or by telephone.