Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2019 Oct 22;89(11):1451–1456. doi: 10.1111/ans.15493

Predicting operative difficulty of laparoscopic cholecystectomy in patients with acute biliary presentations

Sarah Z Wennmacker 1,2,, Nazim Bhimani 2, Aafke H van Dijk 3, Thomas J Hugh 2,4, Philip R de Reuver 1
PMCID: PMC6899702  PMID: 31642165

Abstract

Background

Early laparoscopic cholecystectomy (LC) is advocated in patients with an acute biliary presentation but may require some precaution. We aimed to assess the intra‐operative difficulty of cholecystectomy in patients who underwent early intervention, and to establish a prediction model for a ‘complicated’ LC.

Methods

Retrospective analysis of prospectively collected data from patients presenting to the emergency department with acute biliary symptoms, and who subsequently underwent early LC between 2015 and 2018. Operative difficulty was assessed by standardized grading of intra‐operative findings (grades 1–4). Pre‐operative predictors for a ‘complicated’ LC (grades 3/4) were assessed using univariable and multivariable logistic regression analysis. A prediction model was created using variable regression coefficients. Cut‐off and accuracy of the model were assessed using a receiver operating characteristic curve.

Results

A total of 185 patients were included and 59% presented with acute cholecystitis. In this cohort 113 (61%) patients underwent a ‘complicated’ LC. A prediction model for a ’complicated’ LC (0–4.5 points) included: clinical diagnosis of acute cholecystitis (2 points), C‐reactive protein >10.5 mg/L (1.5 points) and pericholecystic fluid on pre‐operative imaging (1 point). A score ≥2.5 had a sensitivity of 77.7%, specificity of 81.7% and positive and negative predictive values of 87.0% and 69.9%, respectively.

Conclusion

Early LC may be ‘complicated’ in up to 60% of cases. The presented prediction model uses readily available information in the emergency department and is a simple but accurate way to predict a likely ‘complicated’ LC in patients with acute biliary presentations.

Keywords: biliary tract disease, cholecystectomy, decision‐support techniques, emergency treatment, gallbladder disease, laparoscopic


Sixty percent of patients with acute biliary disease who underwent early surgical intervention have a ‘complicated’ laparoscopic cholecystectomy (LC) and this is associated with worse post‐operative outcomes compared with ‘straightforward’ procedures. In order to schedule operations accurately and provide appropriate resources, the expected difficulty of an early LC can be assessed pre‐operatively using a simple prediction model based on the clinical diagnosis of acute cholecystitis, a positive Murphy's sign, C‐reactive protein level >10.5 mg/L and radiological findings of pericholecystic fluid and stone impaction at the gallbladder neck.

graphic file with name ANS-89-1451-g002.jpg

Introduction

Acute biliary presentations account for approximately 10% of patients seen in the emergency department (ED) of which approximately half have acute cholecystitis (AC).1 Accurate differentiation between AC and biliary colic at first presentation is challenging.2, 3 The Tokyo Guidelines (TG18) advocate early laparoscopic cholecystectomy (LC) for patients with AC as well as for most other acute biliary presentations.4 Numerous studies support early LC for patients with AC as this is purported to be associated with reduced morbidity, length of stay and costs.5, 6, 7, 8 Some authors suggest that early LC is often an easier operation to perform than a delayed LC.9

In the (semi‐)urgent setting, early LC may be done out of normal working hours and many hospitals do not have standardized or uniform protocols for performing these procedures. A complex or prolonged operation may result from unexpected intra‐operative findings that cannot be dealt with by on‐call surgeons or trainees who do not have the requisite skills or experience. Severe inflammation around the gallbladder (GB) can make safe dissection difficult, and may increase the risk of both minor and major complications.10, 11, 12 When an early LC policy is adopted for patients with acute biliary presentations it would be helpful to predict the degree of operative difficulty. This would assist timing of the procedure and allocation of appropriate resources including the provision of experienced nursing and surgical staff. Numerous groups have attempted this using surrogate markers of difficulty such as the duration of the operation or the need for conversion to open cholecystectomy.13, 14, 15, 16, 17, 18 However, these outcomes are highly dependent on surgeons' experience and institutional preferences.19

The aim of the current study was to assess the intra‐operative findings at LC using a simplified and easily applicable grading system in patients with acute biliary presentations, and to establish an accurate pre‐operative prediction model for difficulty of LC.

Methods

Study design and patient selection

A retrospective analysis of prospectively collected clinical data was performed in the upper gastrointestinal (GI) surgery unit of a tertiary Australian hospital. Patients ≥18 years of age who were admitted via the ED with an acute biliary presentation between July 2015 and February 2018 and underwent emergency LC within the same admission or a semi‐elective operation within 1 week of discharge, were included in this study. Timing of the operation was at the discretion of the treating surgical team. LC was performed by one of five upper GI surgeons or by surgical trainees under supervision. Patients who underwent a delayed operation (>1 week after ED admission), or those with a history of malignancy or pregnancy at the time of admission were excluded. This study was approved by the Northern Sydney Local Health District Human Research Ethics Committee (AU/1/D724311).

Outcomes and collected data

The primary outcome was the operative difficulty of the cholecystectomy. Intra‐operative findings were systematically graded on a scale of 1–4 by the surgeon during the operation. The grading system represents a concise but simplified modification of intra‐operative factors known to be associated with the degree of difficulty of LC.10, 11 Grades 1 and 2 were considered ‘straightforward’ operations, and grades 3 and 4 were considered ‘complicated’ operations as illustrated in Figure 1.

Figure 1.

Figure 1

Intra‐operative grade examples.

Secondary outcomes were associations between clinical, biochemical and radiological characteristics and the difficulty of the LC, and the associated prediction model.

Data deducted from the data set included: patient characteristics, medical history, clinical presentation, pre‐operative diagnosis, abdominal ultrasound report and blood chemistry, operative characteristics (GB morphology and extent of inflammatory change, the duration of the operation and conversion to an open procedure), and post‐operative data on length of stay, histopathology, 30‐day complications (according to the Clavien‐Dindo classification) and readmissions. Missing data were retrospectively collected from patient's medical records. Patients for whom no intra‐operative complexity data were available were excluded. The TG18 score was applied to grade the severity of AC.20 The full list of characteristics assessed, is provided in the Appendix S1[Link].

Statistical analysis

Dichotomous variables were presented as percentages and analysed using the chi‐squared test. Continuous variables were expressed as means and standard deviations and analysed using the independent Student's t‐test where there was normal distribution. In cases of non‐normal distribution, median and range were reported, and variables were analysed using the Mann–Whitney U‐test. For continuous variables that were significantly associated with difficulty of surgery, optimum cut‐off points were determined using receiver operating characteristic (ROC) curves. Associations of variables with difficulty of LC were assessed using univariable and multivariable regression analysis. Collinearity of the individual variables was tested and no correlation between any of the variables was found. All univariable variables with a P‐value <0.1 were included in the multivariable model. Backward elimination was used as variable selection method. The results were reported as adjusted odds ratio (OR) and 95% confidence intervals (CIs).

The regression coefficients of multivariable analysis were used to build the prediction model. Accuracy of the model was assessed using area under the ROC curve (AUC). The ROC curve was used to establish the optimum cut‐off score for the prediction of difficult LC. Sensitivity, specificity and positive and negative predictive values of the cut‐off were calculated. For all analyses a P‐value <0.05 was considered statistically significant. All statistical analyses were performed using SPSS Statistic 25.0 software package (IBM, Amsterdam, The Netherlands).

Results

During the study period, 257 patients were admitted for acute biliary disease through the ED and subsequently underwent LC. Of these, 72 patients were excluded (50 delayed LCs (>1 week after discharge), 20 with unavailable intra‐operative information, one concurrent malignancy and one <18 years of age), leaving 185 patients for inclusion in the study. Indications for surgery and clinical characteristics of the full cohort are shown in Table 1. Table 2 consists of the univariable and multivariable analysis with OR and 95% CI.

Table 1.

Clinical characteristics

Variable Total cohort (n = 185) ‘Straightforward’ LC (n = 72) ‘Complicated’ LC (n = 113) P‐value
Age (year), mean (SD) 51.6 (18.4) 46.2 (18.7) 55.0 (17.5) 0.001
Sex, female, n (%) 108 (58.4) 45 (62.5) 63 (55.8) 0.36
ASA, n (%) 0.19
1–2 145 (78.4) 60 (83.3) 85 (75.2)
3–4 40 (21.6) 12 (16.7) 28 (27.8)
BMI (kg/m2), mean (SD) 30.3 (24.0) 28.8 (5.86) 31.4 (31.1) 0.55
Clinical diagnosis, n (%) <0.001
Acute cholecystitis 109 (58.9) 18 (25.0) 91 (80.5) <0.001
Biliary colic 41 (22.2) 29 (40.3) 12 (10.6) <0.001
Gallstone pancreatitis 15 (8.1) 14 (19.4) 1 (0.9) <0.001
Choledocholithiasis 10 (5.4) 9 (12.5) 1 (0.9) 0.001
Cholangitis 6 (3.2) 2 (2.8) 4 (3.5) 0.78
Biliary sepsis 4 (2.2) 0 4 (3.5) 0.11
History, n (%)
Abdominal surgery 57 (31.0) 22 (31.0) 35 (31.0) 0.99
Cholecystitis 10 (5.4) 3 (4.2) 7 (6.3) 0.54
ERCP 17 (9.2) 6 (8.3) 11 (9.7) 0.75
Cholecystostomy 6 (3.2) 1 (3.2) 5 (4.4) 0.26
Pancreatitis 10 (5.4) 5 (6.9) 5 (4.5) 0.47
Cholangitis 1 (0.5) 0 1 (0.9) 0.42
Symptoms, n (%)
First episode 70 (37.8) 22 (30.6) 48 (42.5) 0.10
Fever 29 (15.7) 9 (12.5) 20 (17.7) 0.34
Murphy's sign+ 78 (42.2) 19 (26.4) 59 (52.2) 0.001
Duration prior ER >24 h 99 (53.5) 31 (43.1) 68 (60.2) 0.02
Duration until operation (days), median (range) 4 (0.1–54) 4 (0.1–54) 4 (0.1–34) 0.81
Tokyo grade, n (%) 0.41
I 42 (22.7) 6 (31.6) 36 (38.3) 0.58
II 45 (24.3) 8 (42.1) 37 (39.4) 0.83
III 7 (3.8) 0 7 (7.4) 0.22
Laboratory values, median (range)
WBC (×109/L) 11.0 (2.6–185) 9.3 (2.9–19.6) 12.0 (2.6–185) <0.001
Neutrophil (×109/L) 8.2 (1.4–173) 6.6 (2.1–16.6) 9.2 (1.4–173) <0.001
CRP (mg/L) 18 (0.3–523) 6 (0.3–297) 32 (0.6–523) <0.001
AST (U/L) 37 (12–3032) 57 (16–1105) 31 (12–3032) <0.001
ALT (U/L) 43 (10–2788) 64 (10–1227) 34 (10–2788) <0.001
ALP (U/L) 91 (44–767) 104 (44–373) 87 (47–767) 0.25
Bilirubin (total) (μmol/L) 15 (3–136) 14 (3–112) 17 (5–136) 0.21
GGT (U/L) 62 (12–1336) 161 (12–1288) 47 (12–1336) 0.001
Radiological characteristics, n (%)
US diagnosis of AC 88 (47.6) 19 (26.4) 69 (61.1) <0.001
GB wall >4 mm 87 (47.0) 23 (31.9) 64 (56.6) 0.001
Pericholecystic fluid 63 (34.1) 9 (12.5) 54 (47.8) <0.001
Stone impacted US 59 (31.9) 12 (16.8) 47 (41.6) <0.001
Operative outcomes
Operative time (min), mean (SD) 110.4 (49.6) 86.2 (36.8) 125 (50.7) <0.001
Conversion, n (%) 10 (5.5) 1 (1.4) 9 (8.2) 0.05
Post‐operative LOS, median (range) 2 (1–47) 1 (1–9) 2 (1–47) <0.001
Complications, n (%) 28 (15.1) 5 (6.9) 23 (20.4) 0.01
CDC1 10 (35.7) 2 (40) 8 (34.8) 0.21
CDC2 6 (3.2) 1 (1.4) 4 (3.5) 0.38
CDC ≥3 18 (3.8) 2 (2.8) 11 (9.7) 0.07

Three based on cholecystitis and one based on cholangitis.

AC, acute cholecystitis; ALP, alkaline phosphatase; ALT, alanine transaminase; ASA, American Society of Anesthesiologists classification; AST, aspartate transaminase; BMI, body mass index; CDC, Clavien‐Dindo classification; CRP, C‐reactive protein; ER, emergency room; ERCP, endoscopic retrograde cholangio‐pancreaticography; GB, gallbladder; GGT, gamma‐glutamyltransferase; LC, laparoscopic cholecystectomy; LOS, length of stay; SD, standard deviation; US, ultrasound; WBC, white blood cell count.

Table 2.

Univariable and multi‐variable analysis

Variable ‘Straightforward’ LC ‘Complicated’ LC Univariable OR (95% CI) P‐value Multivariable OR (95% CI) P‐value Regression coefficient Points Prediction model
Acute cholecystitis, n (%) 18 (25.0) 94 (83.2) 14.84 (7.18–30.69) <0.001 8.33 (3.78–18.36) <0.001 2.12 2
Murphy's sign positive, n (%) 19 (26.4) 59 (52.2) 3.05 (1.61–5.79) 0.001
CRP >10.5 mg/L, n (%) 23 (32.4) 84 (75.0) 6.26 (3.25–12.06) <0.001 3.85 (1.78–8.34) 0.001 1.35 1.5
Pericholecystic fluid, n (%) 9 (12.5) 54 (47.8) 6.41 (2.91–14.12) <0.001 2.77 (1.11–6.95) 0.029 1.02 1
Impacted stone GB neck, n (%) 12 (16.8) 47 (41.6) 3.56 (1.73–7.34) <0.001
Neutrophils >8 × 109/L, n (%) 24 (33.3) 73 (64.6) 3.65 (1.96–6.81) <0.001
US diagnosis AC, n (%) 19 (26.4) 69 (61.1) 4.37 (2.29–8.35) <0.001
Age >50 years, n (%) 26 (36.1) 70 (61.9) 2.88 (1.56–5.32) 0.001
First episode, n (%) 22 (30.6) 48 (42.5) 1.68 (0.90–3.14) 0.104
Symptoms >24 h prior to ER, n (%) 31 (43.1) 68 (60.2) 2.00 (1.10–3.64) 0.024
WBC >9.5 × 109/L, n (%) 35 (48.6) 80 (70.8) 2.56 (1.39–4.73) 0.003
GB wall >4 mm, n (%) 23 (31.9) 64 (56.6) 2.78 (1.50–5.17) <0.001

Including three patients with biliary sepsis based on cholecystitis.

AC, acute cholecystitis; CI, confidence interval; CRP, C‐reactive protein; ER, emergency room; GB, gallbladder; OR, odds ratio; US, ultrasound; WBC, white blood cell count.

Difficulty of cholecystectomy

Difficulty of LC was reported as grade 1 in 25 patients, grade 2 in 47 patients, grade 3 in 69 patients and grade 4 in 44 patients. Table 1 summarizes the difference between the ‘straightforward’ procedures (72 patients, 38.9%) and ‘complicated’ procedures (113 patients, 61.1%). ‘Complicated’ procedures were associated with the following clinical characteristics: older age, a positive Murphy's sign, duration of symptoms >24 h prior to presentation at ED, higher median white blood cell count, neutrophil and C‐reactive protein (CRP) levels and ultrasound findings associated with cholecystitis. ‘Complicated’ procedures were associated with the following peri‐operative characteristics: increased operation time, more conversion to an open procedure, longer post‐operative stay, increased complications and more severe complications (Clavien‐Dindo classification ≥3) (Table 1). The TG18 severity grade of AC and total duration of symptoms prior to LC were not significantly associated with a ‘complicated’ procedure.

Predictive factors for a complicated cholecystectomy

Table 2 summarizes the uni‐ and multivariable analyses of pre‐operative predictive factors for a ‘complicated’ LC. The cut‐off values were determined using ROC curves (Fig. S1). Multivariable analysis showed that clinical diagnosis of AC (OR 8.33 (95% CI 3.78–18.36), P < 0.001), CRP >10.5 mg/L (OR 3.85 (95% CI 1.78–8.34), P = 0.001) and pericholecystic fluid (OR 2.77 (95% CI 1.11–6.95), P = 0.029) were independently predictive for a ‘complicated’ LC.

The AUC of the prediction model was 0.86 (95% CI 0.80–0.91, P < 0.001) (Fig. S2). Using the ROC curve the cut‐off for a ‘complicated’ LC was set at ≥2.5. Sensitivity of this score was 77.7%, specificity was 81.7% and positive and negative predictive values were 87.0% and 69.9%, respectively.

Discussion

This study showed that 60% of the operations done as an early LC after an acute biliary presentation were classified as ‘complicated’ (grade 3 or 4). A ‘complicated’ LC was associated with worse post‐operative outcomes compared with patients who underwent a ‘straightforward’ operation (grade 1 or 2). Regardless, early LC is still feasible and can be done safely in most patients because it is possible using readily available clinical and radiological data to predict and therefore plan for this likelihood.

Existing grading methods for the difficulty of LC mainly use surrogate markers such as the risk of conversion to an open operation, a prolonged operative time or post‐operative complications.13, 14, 15, 16, 17, 18 These outcomes, although partly related to the intra‐operative findings, are also dependent on the skills and preferences of the surgeon, or on institutional protocols regarding conversion, and the availability of experienced peri‐operative staff and equipment.11, 19, 21 Several groups have suggested from retrospective series that a pre‐operative diagnosis or grading of AC according to the TG18 criteria alone is often not helpful in predicting the difficulty of a subsequent LC.20, 22, 23 We showed that a diagnosis of AC, but not the TG18 grading was an independent predictor for a ‘complicated’ LC. Interestingly, 29% of ‘complicated’ LCs in the present study were in patients with a pre‐operative diagnosis of biliary colic only.

Several prediction models for a difficult LC, based on subjective assessment intra‐operative difficulty have been proposed (e.g. ‘unable to’, ‘difficult dissection of’).21, 24, 25, 26 However, these assessments also depend on a surgeons' experience and routine practice and are therefore not easily transferable between institutions. The best attempt to date to identify objective intra‐operative findings for a ‘complicated’ LC was a Japan–Korea–Taiwan expert Delphi consensus in 2017. This included factors related to inflammation of the GB and surrounding structures, fibrotic or adhesive changes in Calot's triangle and other anatomical variations.10, 11 However, the list of intra‐operative factors used in this grading system is extensive, and the associated scoring system is complicated which is likely to limit routine and universal adoption.

Instead, we propose a simple grading system incorporating the main elements of the intra‐operative factors outlined in the above model, except for anatomical variations which are hard to predict pre‐operatively. Pragmatically, ‘straightforward’ operations were defined as grade 1 or 2 intra‐operative findings (which can be performed by less experienced surgeons and trainees) and ‘complicated’ operations as grade 3 or 4 intra‐operative findings (often requiring an experienced laparoscopic surgeon or even a specialist hepato‐pancreatico‐biliary surgeon).

In the present study, an elevated pre‐operative CRP and the presence of pericholecystic fluid were associated with a ‘complicated’ LC (grade 3 or 4). These are consistent with previous findings in the literature.13, 14, 15, 27 A pre‐operative clinical diagnosis of AC was also an independent predictor of a likely ‘complicated’ LC. By combining all three pre‐operative variables we produced a highly accurate pre‐operative prediction model (AUC 0.86). The variables were assigned different scores based on the regression coefficients, and a cumulative score of ≥2.5 had a sensitivity of 77.7%, specificity of 81.7% and positive and negative predictive values of 87.0% and 69.9% for predicting a ‘complicated’ LC.

This simple predictive model using readily available clinical and radiological information can predict the likelihood of a ‘complicated’ LC in patients presenting with acute biliary symptoms. If patients present out of normal working hours or if appropriately skilled surgical staff are not available, a conservative approach may be warranted in the first instance until ‘normal’ working hours or until experienced staff are available. In support of this, we found that a prolonged duration of symptoms prior to LC was not associated with a ‘complicated’ LC in the present study. In fact, delayed operations >72 h after presentation were no more difficult than operations done within 72 h from the time of presentation (data not shown). In modern surgical practice neither the TG18 grading nor the duration of symptoms should be used as an excuse to postpone surgery beyond the primary admission.

A strength of this study was the development of an accurate prediction model using readily assessable pre‐operative factors that are part of standard clinical evaluation of patients with biliary symptoms in the ED. The score can be quickly determined without any difficult calculations. Limitations of the study include the relatively small cohort size which limited the number of factors that could be included in the multivariable analysis, and the fact that there was no subset of patients for external validation. Importantly, this prediction model needs to be validated in an independent and prospectively collected cohort of patients presenting at the ED with acute biliary symptoms.

Conclusion

In conclusion, 60% of patients with acute biliary disease who undergo early surgical intervention have a ‘complicated’ LC and this is associated with worse post‐operative outcomes compared with ‘straightforward’ procedures. An ‘immediate cholecystectomy’ protocol for patients presenting with acute biliary symptoms is certainly feasible but is likely to have an impact on operating room and hospital resources. In order to schedule operations accurately and provide appropriate resources, the expected difficulty of an early LC can be assessed pre‐operatively using a simple prediction model based on the clinical diagnosis of AC, CRP level >10.5 mg/L and pre‐operative radiological findings of pericholecystic fluid.

Conflicts of interest

None declared.

Supporting information

Appendix S1. Full list of assessed characteristics.

Figure S1. ROC‐curves age and biochemical predictors. (a) Age > 50 years; sensitivity: 0.62; specificity: 0.64; AUC: 0.64 (95% CI 0.56–0.72); P = 0.001. (b) WBC > 9.5 × 109/L; sensitivity: 0.71; specificity: 0.51; AUC: 0.66 (95% CI 0.58–0.74); P < 0.001. (c) Neutrophils 8 × 109/L; sensitivity: 0.65; specificity: 0.68; AUC: 0.69 (95% CI 0.62–0.77); P < 0.001. (d) CRP 10.5 mg/L; sensitivity: 0.65; specificity: 0.68; AUC: 0.78 (95% CI 0.72–0.85); P < 0.001.

Figure S2. ROC‐curve prediction model. Prediction score ≥ 2.5; sensitivity: 0.78; specificity: 0.82; AUC 0.86 (95% CI 0.80–0.91); P < 0.001.

Acknowledgement

We thank the upper GI surgeons at Royal North Shore Hospital for allowing their patients to be included in this study.

S. Z. Wennmacker MD; N. Bhimani MBiostat, BSc (Adv Sci) (Hons); A. H. van Dijk MD, PhD; T. J. Hugh MD, FRACS; P. R. de Reuver MD, PhD.

References

  • 1. van Randen A, Lameris W, Luitse JS et al The role of plain radiographs in patients with acute abdominal pain at the ED. Am. J. Emerg. Med. 2011; 29: 582–9.e2. [DOI] [PubMed] [Google Scholar]
  • 2. Yacoub WN, Petrosyan M, Sehgal I, Ma Y, Chandrasoma P, Mason RJ. Prediction of patients with acute cholecystitis requiring emergent cholecystectomy: a simple score. Gastroenterol. Res. Pract. 2010; 2010: 901739. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Mohamed S, Williams DM, Sallami Z, Min T, Hamid H. Diagnostic accuracy of clinical examination, inflammatory markers, and abdominal ultrasound in differentiating biliary colic from acute cholecystitis. Br. J. Surg. 2017; 104: 13–82.27686465 [Google Scholar]
  • 4. Okamoto K, Suzuki K, Takada T et al Tokyo Guidelines 2018: flowchart for the management of acute cholecystitis. J. Hepatobiliary Pancreat. Sci. 2018; 25: 55–72. [DOI] [PubMed] [Google Scholar]
  • 5. Cao AM, Eslick GD, Cox MR. Early laparoscopic cholecystectomy is superior to delayed acute cholecystitis: a meta‐analysis of case‐control studies. Surg. Endosc. 2016; 30: 1172–82. [DOI] [PubMed] [Google Scholar]
  • 6. Gurusamy KS, Davidson C, Gluud C, Davidson BR. Early versus delayed laparoscopic cholecystectomy for people with acute cholecystitis. Cochrane Database Syst. Rev. 2013; 6: CD005440. [DOI] [PubMed] [Google Scholar]
  • 7. Gutt CN, Encke J, Koninger J et al Acute cholecystitis: early versus delayed cholecystectomy, a multicenter randomized trial (ACDC study, NCT00447304). Ann. Surg. 2013; 258: 385–93. [DOI] [PubMed] [Google Scholar]
  • 8. Saber A, Hokkam EN. Operative outcome and patient satisfaction in early and delayed laparoscopic cholecystectomy for acute cholecystitis. Minim. Invasive Surg. 2014; 2014: 162643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. de Mestral C, Rotstein OD, Laupacis A et al Comparative operative outcomes of early and delayed cholecystectomy for acute cholecystitis: a population‐based propensity score analysis. Ann. Surg. 2014; 259: 10–5. [DOI] [PubMed] [Google Scholar]
  • 10. Iwashita Y, Hibi T, Ohyama T et al An opportunity in difficulty: Japan‐Korea‐Taiwan expert Delphi consensus on surgical difficulty during laparoscopic cholecystectomy. J. Hepatobiliary Pancreat. Sci. 2017; 24: 191–8. [DOI] [PubMed] [Google Scholar]
  • 11. Iwashita Y, Ohyama T, Honda G et al What are the appropriate indicators of surgical difficulty during laparoscopic cholecystectomy? Results from a Japan‐Korea‐Taiwan multinational survey. J. Hepatobiliary Pancreat. Sci. 2016; 23: 533–47. [DOI] [PubMed] [Google Scholar]
  • 12. Tornqvist B, Waage A, Zheng Z, Ye W, Nilsson M. Severity of acute cholecystitis and risk of iatrogenic bile duct injury during cholecystectomy: a population‐based case‐control study. World J. Surg. 2016; 40: 1060–7. [DOI] [PubMed] [Google Scholar]
  • 13. Asai K, Watanabe M, Kusachi S et al Risk factors for conversion of laparoscopic cholecystectomy to open surgery associated with the severity characteristics according to the Tokyo guidelines. Surg. Today 2014; 44: 2300–4. [DOI] [PubMed] [Google Scholar]
  • 14. Bourgouin S, Mancini J, Monchal T, Calvary R, Bordes J, Balandraud P. How to predict difficult laparoscopic cholecystectomy? Proposal for a simple preoperative scoring system. Am. J. Surg. 2016; 212: 873–81. [DOI] [PubMed] [Google Scholar]
  • 15. Gupta N, Ranjan G, Arora MP et al Validation of a scoring system to predict difficult laparoscopic cholecystectomy. Int. J. Surg. 2013; 11: 1002–6. [DOI] [PubMed] [Google Scholar]
  • 16. Lal P, Agarwal PN, Malik VK, Chakravarti AL. A difficult laparoscopic cholecystectomy that requires conversion to open procedure can be predicted by preoperative ultrasonography. J. Soc. Laparoend. 2002; 6: 59–63. [PMC free article] [PubMed] [Google Scholar]
  • 17. Maehira H, Kawasaki M, Itoh A et al Prediction of difficult laparoscopic cholecystectomy for acute cholecystitis. J. Surg. Res. 2017; 216: 143–8. [DOI] [PubMed] [Google Scholar]
  • 18. Schrenk P, Woisetschlager R, Rieger R, Wayand WU. A diagnostic score to predict the difficulty of a laparoscopic cholecystectomy from preoperative variables. Surg. Endosc. 1998; 12: 148–50. [DOI] [PubMed] [Google Scholar]
  • 19. Hibi T, Iwashita Y, Ohyama T et al The ‘right’ way is not always popular: comparison of surgeons' perceptions during laparoscopic cholecystectomy for acute cholecystitis among experts from Japan, Korea and Taiwan. J. Hepatobiliary Pancreat. Sci. 2017; 24: 24–32. [DOI] [PubMed] [Google Scholar]
  • 20. Yokoe M, Hata J, Takada T et al Tokyo Guidelines 2018: diagnostic criteria and severity grading of acute cholecystitis (with videos). J. Hepatobiliary Pancreat. Sci. 2018; 25: 41–54. [DOI] [PubMed] [Google Scholar]
  • 21. Sugrue M, Sahebally SM, Ansaloni L, Zielinski MD. Grading operative findings at laparoscopic cholecystectomy: a new scoring system. World J. Emerg. Surg. 2015; 10: 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Ambe PC, Christ H, Wassenberg D. Does the Tokyo guidelines predict the extent of gallbladder inflammation in patients with acute cholecystitis? A single center retrospective analysis. BMC Gastroenterol. 2015; 15: 142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Lee SW, Yang SS, Chang CS, Yeh HJ. Impact of the Tokyo guidelines on the management of patients with acute calculous cholecystitis. J. Gastroenterol. Hepatol. 2009; 24: 1857–61. [DOI] [PubMed] [Google Scholar]
  • 24. Cho KS, Baek SY, Kang BC, Choi HY, Han HS. Evaluation of preoperative sonography in acute cholecystitis to predict technical difficulties during laparoscopic cholecystectomy. J. Clin. Ultrasound 2004; 32: 115–22. [DOI] [PubMed] [Google Scholar]
  • 25. Daradkeh SS, Suwan Z, Abu‐Khalaf M. Preoperative ultrasonography and prediction of technical difficulties during laparoscopic cholecystectomy. World J. Surg. 1998; 22: 75–7. [DOI] [PubMed] [Google Scholar]
  • 26. Vivek MA, Augustine AJ, Rao R. A comprehensive predictive scoring method for difficult laparoscopic cholecystectomy. J. Minim. Access Surg. 2014; 10: 62–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Onoe S, Maeda A, Takayama Y, Fukami Y, Kaneoka Y. A preoperative predictive scoring system to predict the ability to achieve the critical view of safety during laparoscopic cholecystectomy for acute cholecystitis. HPB (Oxford) 2017; 19: 406–10. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Appendix S1. Full list of assessed characteristics.

Figure S1. ROC‐curves age and biochemical predictors. (a) Age > 50 years; sensitivity: 0.62; specificity: 0.64; AUC: 0.64 (95% CI 0.56–0.72); P = 0.001. (b) WBC > 9.5 × 109/L; sensitivity: 0.71; specificity: 0.51; AUC: 0.66 (95% CI 0.58–0.74); P < 0.001. (c) Neutrophils 8 × 109/L; sensitivity: 0.65; specificity: 0.68; AUC: 0.69 (95% CI 0.62–0.77); P < 0.001. (d) CRP 10.5 mg/L; sensitivity: 0.65; specificity: 0.68; AUC: 0.78 (95% CI 0.72–0.85); P < 0.001.

Figure S2. ROC‐curve prediction model. Prediction score ≥ 2.5; sensitivity: 0.78; specificity: 0.82; AUC 0.86 (95% CI 0.80–0.91); P < 0.001.


Articles from Anz Journal of Surgery are provided here courtesy of Wiley

RESOURCES