Literature DB >> 32606942

Perioperative Complications and Safety Evaluation of Robot-Assisted Radical Hysterectomy of Cervical Cancer After Neoadjuvant Chemotherapy.

Wei-Fu Chang1,2,3, Ai-Jing Luo1,3,4, Yi-Feng Yuan5, Yang Chen5, Zi-Rui Xin3,5, Shuai-Shuai Xu1.   

Abstract

PURPOSE: To evaluate the perioperative complications of patients with cervical cancer who are treated with robot-assisted radical hysterectomy (RRH) and to further evaluate the safety of patients undergoing NACT.
METHODS: A total of 805 consecutive cervical cancer patients undergoing RRH were involved in this report. Their clinical characteristics were retrieved from hospital medical records. Perioperative complications were subdivided into intraoperative and postoperative complications, which were graded according to the Clavien-Dindo classification (CDC), and the complications of grade III and above were defined as severe complications. Furthermore, the two-level logistic regression model was used to estimate the risk factors of perioperative and severe complications and to further confirm the relationship between NACT and perioperative and severe complications.
RESULTS: The perioperative complication rate and severe complications were 45.09% and 7.83%, respectively. Poorly differentiated tumor and NACT were identified as independent risk factors for perioperative complications by multifactor analysis. Furthermore, we concentrated on the relations between NACT and complications. The risk of perioperative complications of the group with NACT (OR = 11.08, 95% CI: 5.70-21.54) was significantly higher than the group without NACT, especially in postoperative complications (OR=17.65, 95% CI: 8.63-36.08), even after adjusting confounding factors. However, there was no statistically significant difference in terms of severe complications (OR=1.68, 95% CI: 0.64-4.41) and intraoperative complications (OR=0.51, 95% CI: 0.18-1.41). Moreover, as the times of NACT increase, the impact on perioperative complications is more pronounced. A similar trend was observed in postoperative complications, while this statistical difference was still not observed in intraoperative and severe complications.
CONCLUSION: This result demonstrates the feasibility and safety of RRH of cervical carcinoma after NACT in generally, since it only causes mild complications, not severe complications.
© 2020 Chang et al.

Entities:  

Keywords:  Clavien–Dindo classification; cervical carcinoma; neoadjuvant chemotherapy; perioperative complications; robot-assisted radical hysterectomy

Year:  2020        PMID: 32606942      PMCID: PMC7305848          DOI: 10.2147/CMAR.S243986

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Despite advances in prevention, screening, diagnosis, and treatment during the past decade, cervical cancer remains a major issue of public health, representing the fourth most common female malignancy worldwide.1 Approximately 90% of the 270 000 cervical cancer deaths in 2015 occurred in low income and middle-income countries.2 An increasing trend in incidence and mortality of cervical cancer has also been observed in China.3 With advances in the development of instrumentation and surgical expertise, we witnessed a progressive shift from traditional open surgery towards minimally invasive surgery in the treatment of cervical cancer. Minimally invasive surgery is now considered as a widely accepted approach for the management of early-stage gynecological malignancies, which is particularly beneficial in terms of blood loss, pain, hospitalization and recovery, without detrimental effects on the curative or survival outcomes.4–6 Robotic surgery is the most advanced technology for minimally invasive surgery, which was approved by the US Food and Drug Administration for gynecology in 2005. Sert et al. were the first to report robot-assisted radical hysterectomy (RRH) and lymph node dissection in 2006.7,8 In 2015, our hospital carried out the first RRH operation. In order to ensure better surgical quality and standardization of the entire procedure from pre-operation to post-operation, in this study, a total of 805 cervical cancer patients received RRH. However, this treatment method is somewhat controversial. Several studies revealed that minimally invasive surgery may be associated with shorter overall survival than open surgery9 and increased rates of death and recurrence10 in patients with cervical cancer. This may lead to a paradigm shift in the treatment of cervical cancer, therefore we further evaluate the data from our institution. In previous studies, a great deal of articles focused on the long-term effects after RRH,9–13 while researches on the short-term effects were rare relatively. In order to better evaluate this therapeutic approach, we concentrated on the short-term perioperative impacts of RRH on patients. Although there were a little of researches about perioperative complications for cervical carcinoma,14,15 most studies were based on retrospective reviews of medical records or were performed without consideration of the severity of each complication or based on their own criteria. Therefore, it is probable that not all complications have been fully documented, and it is difficult to compare complication rates and identify risk factors for complications reliably. The incidence of perioperative complication is an important index reflecting the effect of surgery, and the principle of classification for perioperative complications should be simple, reproducible, flexible, and applicable irrespective of the cultural background.16,17 Such requirements are met by the Clavien–Dindo classification (CDC) proposed in 2004.18 Since then, this classification has been applied to many surgeries including gastrectomy, renal cell cancer resection, colorectal resection, pancreaticoduodenectomy, breast cancer and urological resection.17,19–22 However, the perioperative complications assessed by CDC in radical hysterectomy of cervical cancer have been described scarcely. Therefore, the purpose of this study is to analyze the severity of perioperative complications of cervical cancer patients undergoing RRH by CDC, evaluate the relationship between NACT and complications, and further confirm the feasibility and safety of RRH of cervical carcinoma after NACT.

Materials and Methods

Patients

From January 2016 to April 2019, a total of 805 patients receiving RRH in our hospital were asked to participate in this retrospective observational study. 244 patients underwent NACT, and 561 patients did not receive NACT. After patients received NACT treatment for 3 courses, the eligible patients wanted to receive RRH with Da Vinci Si Surgical System. The surgery was performed by an experienced surgical team proficient in gynecologic oncology, the member of which all have extensive experience in minimally invasive surgery. All pathological diagnosis was confirmed by two experienced pathologists. The study was approved by the institutional review board (IRB) of the Third Xiangya Hospital, Central South University. Radical hysterectomy was performed for all patients with proper consultation and written informed consent was obtained from each subject.

Data Collection

Data of patients’ demographics, laboratory examination, clinical manifestation and perioperative complications were obtained from medical records, which include age, stage according to the International Federation of Gynecology and Obstetrics (FIGO), histopathological type, tumor grade, American Association of Anesthesiologists (ASA) classification, classification for HPV and NACT. Intraoperative parameters include mean surgical time, blood loss, number and metastasis condition of pelvic lymph nodes and postoperative hospital stay. According to the definition of perioperation, perioperative complications are divided into intraoperative complications and postoperative complications.

NACT Regimen

Patients with squamous cell carcinoma received 3 courses of TIP (paclitaxel 175 mg/m2 + ifosfamide 5 g/m2+ cisplatin 75 mg/m2), and patients with cervical adenocarcinoma received 3 courses of TEP (paclitaxel 175 mg/m2+epirubicin 80 mg/m2+ cisplatin 75 mg/m2).23–25 The rest of the chemotherapy regimens were performed with reference to the clinician’s experience and the actual situation of the patients. Within 2–3 weeks after the completion of NACT, patients were re-evaluated through imaging and physical examination. After the assessment was passed, Da Vinci robot-assisted hysterectomy was performed for the patient with the patient’s knowledge and consent.

Perioperative Complications

Perioperative complications were defined according to previously reported references, and subdivided into intraoperative and postoperative complications.18,26 Intraoperative complications included transfusion within 72 h after surgery, ureter or bladder injury and bowel injury. Postoperative complications included fever (>38°C) for >24 h postoperatively, urinary retention, short-term abnormal liver and renal function, severe edema of lower extremity, lymphocytic cyst infection, postoperative infection, severe anemia, bowel obstruction, vaginal vault dehiscence, vault bleeding, urinary tract infection, lymphedema, fistula, pelvic infection, remnant drain catheter and deep venous thrombosis. All perioperative complications were classified into 5 grades according to CDC. Grade I complications: no special treatment is required; Grade II complications: medical treatment and parenteral nutrition are required; Grade III complications: surgery, endoscopic or radiological intervention are required to be performed under general anesthesia (Class IIIb) or local anesthesia (Class IIIa); Grade IV complications: intensive care is required due to single or multiple organ failure; Grade V complications: death.17

Statistical Analysis

Statistical analyses were performed using IBM SPSS Statistics23.0 (IBM SPSS Inc., Chicago, IL). Descriptive statistics were performed on the distributions of demographic characteristics and perioperative complications. Continuous data were described as mean ± standard deviation and categorical data as number (percentage). Continuous variables were compared using the Student T-test or Mann–Whitney U-test. Categorical variables were compared using the Chi-square test or Fisher’s exact test. Two-level logistic regression model was used to evaluate the risk factors between NACT and perioperative and severe complications. Two-level logistic regression model was used to estimate the odds ratio (OR) and the 95% confidence interval (CI) of the risk of perioperative complications by analysis of multiple clinical indicators. Variables with p<0.05 in the univariate analysis were considered in a multivariate analysis. P<0.05 was considered statistically significant.

Results

Patient Characteristics

The demographic characteristics of the study population are shown in Table 1. 805 patients receiving RRH were included in the study, among which, 244 patients (30.31%) underwent NACT and 561 patients (69.69%) did not receive NACT. 439 patients (54.53%) were in stage IA-IB and 366 patients (45.47%) were in stage II or above by FIGO staging. Medium differentiation of tumor grade and squamous of histology cell were observed at highest frequency in 489 (60.75%) and 641 (79.63%), respectively. 164 patients (20.37%) had preoperative comorbidities with ASA score ≥ 3. Type 16 and 18 of HPV were regarded as relatively high risk for cervical carcinoma and were detected in 587 patients (79.92%). 137 patients (17.02%) showed lymph node metastasis. The median of surgical time, blood loss, indwelling time of drainage tube and postoperative hospital stay were 140.00, 150.00 and 3.00, respectively. The mean of age, number of pelvic lymph nodes and days of postoperative hospital stay were 49.44, 12.74 and 7.40, respectively.
Table 1

Summary of Patient Characteristics

CharacteristicsTotal (n=805)
Age (years)49.44±9.19
Stage (FIGO)
 IA1189 (23.49%)
 IA28 (0.99%)
 IB1215 (26.71%)
 IB227 (3.35%)
 IIA1150 (18.63%)
 IIA287 (10.81%)
 IIB and above129 (16.02%)
Tumor grade
 Well differentiated99 (12.30%)
 Moderately differentiated489 (60.75%)
 Poorly differentiated217 (26.96%)
Histopathological type
 Adenosquamous carcinoma18 (2.24%)
 Squamous641 (79.63%)
 Adenocarcinoma76 (9.44%)
 Other70 (8.70%)
ASA classification
 Ⅰ38 (4.72%)
 Ⅱ603 (74.91%)
 ≥164 (20.37%)
Classification for HPV
 Negative42 (5.22%)
 Low risk7 (0.87%)
 High risk169 (20.99%)
 Extremely high risk587 (72.92%)
Lymph node metastasis
 No668 (82.98%)
 Yes137 (17.02%)
Neoadjuvant chemotherapy
 No561 (69.69%)
 Yes244 (30.31%)
Surgical time (mins)140.00 (115.00–169.75)
Blood loss (mL)150.00 (80.00–250.00)
Number of lymph nodes dissection12.74±8.16
Indwelling time of drainage tube (day)3.00 (2.00–3.00)
Postoperative hospital stay(day)7.40±2.34

Abbreviations: FIGO, International Federation of Gynecology and Obstetrics; ASA, American Society of Anesthesiologists; HPV, human papillomavirus.

Summary of Patient Characteristics Abbreviations: FIGO, International Federation of Gynecology and Obstetrics; ASA, American Society of Anesthesiologists; HPV, human papillomavirus. Detailed information on perioperative complications in patients are shown in Table 2. In this study, of 805 patients receiving RRH, 363 patients (45.09%) had perioperative complications; 64 patients (7.95%) had intraoperative complications; 328 patients (40.75%) had postoperative complications; and 29 patients had both intraoperative and postoperative complications. According to the CDC, 334 (60.95%), 146 (26.64%), 66 (12.04%), 2 (0.36%) and 0 (0.00%) perioperative complications were classified as Grade I, Grade II, Grade III, Grade IV and Grade V, respectively. Severe complications are defined Grade III and above according to CDC. Our study showed that most of the complications of patients receiving RRH were grades I and II, and the most common complications were Grade I urinary retention and Grade II urinary tract infection, however there were also 63 cases of severe complications.
Table 2

Perioperative Complications

CDCNumberPercent (%)
Perioperative complications36345.09
Intraoperative complications647.95
Postoperative complications32840.75
Severe complications637.83
CDC classification548100.00
Grade I33460.95
 Fever (>38°C)539.67
 Urinary retention14125.73
 Short-term abnormal liver function519.31
 Short-term abnormal renal function91.64
 Severe edema of lower extremity40.73
 Lymphocytic cyst264.74
 Intraoperative blood transfusion509.12
Grade Ⅱ14626.64
 High fever with elevated white blood cells488.76
 Urinary tract infection8415.33
 Severe anemia20.36
 Lymphocytic cyst infection50.91
 Bowel obstruction71.28
Grade6612.04
 Bowel injury61.09
 Bladder or ureter injury112.01
 Ureteroscopy10.18
 Vaginal vault dehiscence61.09
 Vaginal fistula366.57
 Bladder vaginal fistula40.73
 Lymphatic fistula20.36
Grade Ⅳ20.36
 Deep vein thrombosis20.36
Perioperative Complications

Risk Factors for Perioperative and Severe Complications

The univariate analysis showed that perioperative complications correlated significantly with age (p=0.008), clinical staging by FIGO (p<0.001), tumor grade (p<0.001), histopathological type (p<0.001), lymph node metastasis (p<0.001), NACT (p<0.001), surgical time (p=0.011), blood loss (p<0.001), number of pelvic lymph node dissection (p=0.001) and indwelling time of drainage tube (p<0.001) (Table 3). Factors with p value<0.05 in the univariate analysis were selected as covariables in the two-level logistic regression analysis. It was found that NACT (OR = 9.59, 95% CI: 6.43–14.28, p <0.001) was an independent risk factor for a higher perioperative complication rate. Besides, compared with well-differentiated tumor, moderately differentiated (OR=1.85, 95% CI: 1.03–3.33, p=0.041) and poorly differentiated tumor (OR=4.63, 95% CI: 3.08–6.96, p<0.001) (Table 4) are another independent risk factor for a higher perioperative complication rate. For severe complications, the univariate analysis was only significantly correlated with human papillomavirus typing (P=0.008), and no further multivariate analysis was conducted.
Table 3

Univariate Analysis of Risk Factors for Perioperative and Severe Complications After Robot-Assisted Radical Hysterectomy

VariablesPerioperative Complications (%)P-valueSevere Complications (%)P-value
Age(years)50.38 ± 8.900.00849.75 ± 9.850.783
Stage (FIGO)<0.0010.971
 IA117.36 (63/189)7.41 (14/189)
 IA20.00 (0/8)0.00 (0/8)
 IB132.09 (69/215)8.84 (19/215)
 IB248.15 (13/27)7.41 (2/27)
 IIA138.67 (58/150)7.33 (11/150)
 IIA266.67 (58/87)9.20 (8/87)
 IIB79.07 (102/129)6.98 (9/129)
Tumor grade<0.0010.530
 Well differentiated26.27 (28/99)5.05(5/99)
 Moderately differentiated56.85 (278/489)8.38(41/489)
 Poorly differentiated28.28 (57/217)7.83(17/217)
Histopathological type<0.0010.941
 Adenosquamous carcinoma55.56 (10/18)5.56 (1/18)
 Squamous47.43 (304/641)8.11 (52/641)
 Adenocarcinoma44.74 (34/76)6.58 (34/76)
 Other21.43 (15/70)7.14 (5/70)
ASA classification0.5570.167
 Ⅰ39.47 (15/38)0.00 (0/38)
 Ⅱ44.61 (269/603)7.96 (48/603)
 ≥48.17 (79/164)9.15 (15/164)
Classification for HPV0.4260.008
 Negative57.14 (14/42)2.38 (1/42)
 Low risk45.56 (4/7)42.86 (3/7)
 High risk45.66 (77/169)8.88 (15/169)
 Extremely high risk33.33 (268/587)7.50 (44/587)
Lymph node metastasis0.0010.655
 No42.37 (283/668)7.63 (51/668)
 Yes58.39 (80/137)8.76 (12/137)
Neoadjuvant chemotherapy<0.0010.669
 No30.84 (173/561)7.49 (42/561)
 Yes52.34 (190/244)8.61 (21/244)
Surgical time (min)143.00 (121.00–170.00)0.011138.00 (115.00–161.00)0.717
Blood loss (mL)200.00 (100.00–300.00)<0.001200.00 (100.00–200.00)0.566
Number of lymph nodes dissection13.81 ± 7.660.00112.21 ± 7.360.591
Dwelling time of drainage tube (day)3.00 (3.00–4.00)<0.0013.00 (2.00–4.00)0.490
Postoperative hospital stay (day)7.55 ± 2.160.0957.57 ± 2.510.536

Abbreviations: FIGO, International Federation of Gynecology and Obstetrics; ASA, American Society of Anesthesiologists; HPV, Human papillomavirus.

Table 4

Multivariate Analysis of Risk Factors for Perioperative Complications After Robot-Assisted Radical Hysterectomy

VariablesPerioperative Complications
OR95% CIP-value
Tumor grade
 Well differentiatedRef
 Moderately differentiated1.851.03–3.330.041
 Poorly differentiated4.633.08–6.96<0.001
Neoadjuvant chemotherapy
 NoRef
 Yes9.596.43–14.28<0.001

Abbreviations: OR, odds ratio; CI, confidence interval.

Univariate Analysis of Risk Factors for Perioperative and Severe Complications After Robot-Assisted Radical Hysterectomy Abbreviations: FIGO, International Federation of Gynecology and Obstetrics; ASA, American Society of Anesthesiologists; HPV, Human papillomavirus. Multivariate Analysis of Risk Factors for Perioperative Complications After Robot-Assisted Radical Hysterectomy Abbreviations: OR, odds ratio; CI, confidence interval.

Associations Between NACT and Complications

Table 5 shows the association between NACT and perioperative and severe complications. The rough estimate demonstrated NACT was associated with perioperative complications, especially postoperative complications, but not with intraoperative or severe complications. After the confounders of model I was adjusted, it was found that NACT was associated with postoperative complications (OR=17.19, 95% CI: 8.49–34.83, p<0.001) and perioperative complications (OR=10.83, 95% CI: 5.62–20.86, p<0.001). Even if all confounders were adjusted in model II, NACT was still associated with postoperative complications (OR=17.65, 95% CI: 8.63–36.08, p<0.001) and perioperative complications (OR=11.08, 95% CI: 5.70–21.54, p<0.001). However, NACT was not associated with intraoperative complications (OR=0.51, 95% CI:0.18–1.41, p=0.194) and severe complications (OR=1.68, 95% CI:0.64–4.41, p=0.294), respectively. Therefore, this seems to indicate that NACT in cervical cancer patients can only lead to an increase in mild complications and has certain safety.
Table 5

Association of Neoadjuvant Chemotherapy and Perioperative Complications

ComplicationsCrude ModelAdjusted Model IaAdjusted Model IIb
OR (95% CI)P-valueOR (95% CI)P-valueOR (95% CI)P-value
Severe complications1.16 (0.67–2.01)0.5871.64 (0.64–4.20)0.3041.68 (0.64–4.41)0.294
Intraoperative complications0.82 (0.46–1.46)0.8190.49 (0.18–1.35)0.1650.51 (0.18–1.41)0.194
Postoperative complications9.77 (6.87–13.90)<0.00117.19 (8.49–34.83)<0.00117.65 (8.63–36.08)<0.001
Perioperative complications7.89 (5.55–11.21)<0.00110.83 (5.62–20.86)<0.00111.08 (5.70–21.54)<0.001

Notes: aAdjust I: Estimates derived from two-level logistic regression models after adjusted for age, tumor grade, histopathological type, clinical FIGO stage, lymph node metastasis; bAdjust II: Estimates derived from two-level logistic regression models after adjusted for not only the above variations but also for surgical time, blood loss, number of pelvic lymph node dissection and dwelling time of drainage tube.

Abbreviations: OR, odds ratio; CI, confidence interval.

Association of Neoadjuvant Chemotherapy and Perioperative Complications Notes: aAdjust I: Estimates derived from two-level logistic regression models after adjusted for age, tumor grade, histopathological type, clinical FIGO stage, lymph node metastasis; bAdjust II: Estimates derived from two-level logistic regression models after adjusted for not only the above variations but also for surgical time, blood loss, number of pelvic lymph node dissection and dwelling time of drainage tube. Abbreviations: OR, odds ratio; CI, confidence interval.

Associations Between Times of NACT and Complications

As shown in the previous results, NACT is associated with perioperative complications. This study is expected to verify whether the incidence of complications increase as the times of NACT increase. Therefore, the two-level logistic regression model was applied to clarify the special correlation, and results are shown in Table 6. A step-wise algorithm was used to select factors associated with NACT considering the multicollinearities. In the crude model, the risk of perioperative complications in the group with 1 NACT (OR = 6.77, 95% CI: 3.80–12.06, P <0.001) and the group with 2 or more NACTs (OR = 8.54, 95% CI: 5.70–12.79, P <0.001) was higher than the group without NACT and the difference was statistically significant (P<0.05). Similarly, the postoperative complications in the group with 1 NACT (OR=7.74, 95% CI: 4.41–13.59, p<0.001) and the group with 2 or more NACTs (OR=10.97, 95% CI: 7.31–16.48, p<0.001) was higher than the group without NACT.As previously depicted, no significant correlation was found between intraoperative complications and severe complications and the times of NACT. After all confounding factors were adjusted; the upward trend still existed stably. The risk of perioperative complications in the group with 1 NACT (OR=9.39, 95% CI: 4.61–19.14, P<0.001) and the group with 2 or more NACTs (OR=10.90, 95% CI: 5.12–23.20, P<0.001) was higher than the group without NACT; the risk of postoperative complications in the group with 1 NACT (OR=14.33, 95% CI:6.80–30.16, P<0.001) and the group with 2 or more NACTs (OR=21.34, 95% CI:9.40–48.43, P<0.001) was higher than the group without NACT. These seemed to herald a dose-determined relationship between perioperative complications and times of NACT.
Table 6

Association Between Times of Neoadjuvant Chemotherapy with Complications

Times of NACTCrude ModelAdjusted Model I bAdjusted Model II c
OR (95CI)P-valueOR (95CI)P-valueOR (95CI)P-value
Severe complications
 NA aRefRefRef
 One1.23 (0.50–3.00)0.6571.67 (0.59–4.76)0.3341.64 (0.57–4.72)0.357
 Two or above1.26 (0.69–2.30)0.4572.49 (0.79–7.78)0.1182.50 (0.78–8.00)0.122
Intraoperative complications
 NA aRefRefRef
 One0.70 (0.24–2.00)0.5040.54 (0.16–1.85)0.3240.55 (0.16–1.89)0.341
 Two or above0.96 (0.51–1.79)0.8970.60 (0.20–1.86)0.3800.64 (0.21–1.98)0.443
Postoperative complications
 NA aRefRefRef
 One7.74 (4.41–13.59)<0.00113.95 (6.66–29.23)<0.00114.33 (6.80–30.16)<0.001
 Two or above10.97 (7.31–16.48)<0.00121.91 (9.70–49.49)<0.00121.34 (9.40–48.43)<0.001
Perioperative complications
 NA aRefRefRef
 One6.77 (3.80–12.06)<0.0019.20 (4.53–18.68)<0.0019.39 (4.61–19.14)<0.001
 Two or above8.54 (5.70–12.79)<0.00111.39 (5.37–24.16)<0.00110.90 (5.12–23.20)<0.001

Notes: aNA means not adopting neoadjuvant chemotherapy; bAdjust I: Estimates derived from two-level logistic regression models after adjusted forage, tumor grade, histopathological type, clinical FIGO stage and lymph node metastasis; cAdjust II: Estimates derived from two-level logistic regression models after adjusted for not only the above variations but also for surgical time, blood loss, number of pelvic lymph node dissection and dwelling time of drainage tube.

Abbreviations: OR, odds ratio; CI, confidence interval.

Association Between Times of Neoadjuvant Chemotherapy with Complications Notes: aNA means not adopting neoadjuvant chemotherapy; bAdjust I: Estimates derived from two-level logistic regression models after adjusted forage, tumor grade, histopathological type, clinical FIGO stage and lymph node metastasis; cAdjust II: Estimates derived from two-level logistic regression models after adjusted for not only the above variations but also for surgical time, blood loss, number of pelvic lymph node dissection and dwelling time of drainage tube. Abbreviations: OR, odds ratio; CI, confidence interval.

Discussion

Perioperative complications of radical hysterectomy of cervical cancer usually lead to longer hospital stays, higher medical cost, and delayed adjuvant therapy. The incidence of perioperative complications is also an important indicator for measuring the operative quality. However, there is still no consensus on the definition and classification of perioperative complications, which makes it difficult to evaluate the surgical procedure. The principles of complications classification should be simple, reproducible, flexible and convenient, and widely applicable.16 To meet these requirements, we adopted the well-standardized classification, known as the Clavien–Dindo classification system, which has been proven to be a reliable tool for quality assessment for surgery in many fields.17,19–22 The complication is defined as “any deviation from the normal postoperative course” and the severity is classified according to the type of treatment required, such as surgical intervention or pharmacological treatment. We analyzed and classified the perioperative complications of RRH for cervical cancer. Different clinical trials reported complication rates ranging widely from 4.2% to 58.6%.13–15,19,27 In the present study, the perioperative and severe complication rates were 45.09% and 7.83%, respectively. However, the complication rates in our previous studies seem to be somewhat higher because most grade I complications, such as asymptomatic fever and transient hepatic and renal function abnormality, were included in the perioperative complications. Meanwhile, the most common complications were Grade I urinary retention and Grade II urinary tract infection, and it is speculated that patients with robot-assisted surgery have a higher incidence of nerve damage.28 Therefore, it is recommended that nursing staff should pay more attention to patients after RRH to improve the quality of surgery. Then, univariate and multivariate analyses were performed in whole patients to investigate risk factors correlating with perioperative and severe complications. Poorly differentiated tumor and NACT were independent risk factors for perioperative complications, while the only classification of HPV was correlated with severe complications by univariate analysis. Multivariate analysis indicated that a poorly differentiated tumor was identified as an independent risk factor related to perioperative complications. Previous studies have shown the degree of differentiation was associated with a recurrence rate of cervical cancer. Wang et al suggested that moderately and highly differentiated tumor could indicate a high recurrence rate of cervical cancer,29 while Gong et al found that low levels of tumor differentiation were one of the independent risk factors for recurrent cervical cancer.30 Researches on differentiated tumor levels related to the short-term effect were rare relatively. In the present study, we found that a poorly differentiated tumor was significantly associated with perioperative complications. Patients with poorly differentiated tumor were always in bad nutritional status, with common symptoms such as anemia, weight loss, and hypoproteinemia. Although we adjusted their nutritional status before the operation, it might still influence the vulnerability of surgical stress and the occurrence of perioperative complications. However, the association between tumor grade and complications still needs further studies. NACT was identified as another predictor for perioperative complications in multivariate analysis. NACT was performed in radical surgery for cervical cancer over 20 years.31 Although NACT has chemotherapy toxicity such as gastrointestinal reactions and bone marrow inhibitory reactions,32 possible advantages include the potential for decreasing tumor size, reducing lymph nodes metastasis and distant metastasis, which may provide a viable alternative to chemo-radiotherapy when radiotherapy is unavailable or radiotherapy is unavoidably delayed.33–35 Although the safety and effectiveness of NACT in the treatment of cervical cancer were guaranteed in many reports,25,31,33–36 the results of retrospective cohort studies, randomized controlled trials,37 and meta-analysis38 showed that NACT did not improve the survival outcome of patients with cervical cancer. More specifically, patients who received NACT had a higher recurrence rate, longer median duration of RRH, and more median estimated blood loss.35 Therefore, from the available studies, there is insufficient evidence to show that radical hysterectomy with or without NACT can improve the survival rate and outcomes of patients with cervical cancer. In our study, neither univariate nor multivariate analyses revealed any significant advantages of NACT in perioperative complications. In contrast, NACT was associated with postoperative complications, but not with intraoperative or severe complications. As previously reported, advanced cancer, aortic lymphadenectomy, open surgery and malnutrition were associated with a higher risk of complications.9,39–41 In our study, NACT resulted in more postoperative complications, the reasons of which remained unclear. The systemic effects of NACT and adverse reactions of chemotherapy reagents may be the reason for the increased postoperative complications. However, we found that NACT was not associated with intraoperative and severe complications in this study. Intraoperative complications here included transfusion within 72 h after surgery, bladder or ureter injury and bowel injury. In previous studies, BMI >30kg/m2, previous abdominal surgery, metabolic/endocrine disorders (excluding diabetes), surgical complexity and final diagnosis were significantly associated with intraoperative complications.42,43 We speculated that the occurrence of intraoperative complications would be probably induced by insufficient experiences and learning curves of the surgeon or the specific surgical situations, rather than NACT. On the other hand, NACT was not associated with severe complications in this study. In a Phase II clinical trial, the results showed that the cervical cancer tissue of patients undergoing NACT was of high sensitivity, and because of the short course chemotherapy and low degree of reactions, gastrointestinal reactions such as nausea and vomiting and bone marrow suppression reactions such as leukocyte, hemoglobin and platelet reduction could be well tolerated in most of the patients.44 Therefore, we speculate that NACT may not cause severe complications, which seems to reveal the feasibility and safety of RRH for cervical carcinoma after NACT in general. In order to further clarify whether there is a “special” effect between NACT and complications, we further explored the association between the times of NACT and complications. The results showed that the overall situation was very similar to the multivariate analysis, which demonstrated the risk rate of perioperative complications, especially postoperative complications, increased steadily with the increase of NACT. This result is consistent with the prospective clinical research.45 For the “special” effect between NACT and complications, we may speculate that, on the one hand, with the increase of times of NACT, the accumulation of chemical toxicity in patients was gradually obvious, thereby indeed increasing the incidence of perioperative complications; on the other hand, the toxic impacts of continuous NACT were not independent. The impact of previous NACT would affect the effect of the next NACT, which could lead to an increased incidence of complications. The main advantage of this study is the short-term efficacy, and use of the well-standardized CDC for standard and uniform classification of the surgical complications to supplement the short-term effect of cervical cancer after RRH. Meanwhile, the impact of NACT times on perioperative complications was analyzed to fill the gap in the short-term efficacy of NACT performed before RRH of cervical cancer. However, our study has some limitations. These data are limited to patients’ condition during the period of hospitalization. Our study does not consider long-term complications, such as malnutrition recurrence and survival outcome, which may influence the patients’ quality of life and mortality. Additionally, since this was a retrospective study, recall bias and selection bias are inevitable, and there is no follow-up statistics on the survival rate, such as disease-free survival and overall survival. In the future, large-scale randomized controlled prospective research is needed with multi-center and multi-sector cooperation to achieve more credible results, eliminate bias, and obtain more surgical results.

Conclusions

Our study demonstrates that NACT is a special risk factor of perioperative complications for patients with cervical cancer undergoing RRH, which seems to not lead to serious disease burden due to tolerable clinical toxicity, that is, NACT was closely related to mild postoperative complications. Hence, our study demonstrates the feasibility and safety of RRH of cervical carcinoma after NACT. However, the clinical application of NACT should be selected discreetly. In general, these results provide important clues for future research and provide directions for the adjuvant therapy of cervical cancer.
  44 in total

1.  Neoadjuvant Chemotherapy Followed by Radical Surgery Versus Concomitant Chemotherapy and Radiotherapy in Patients With Stage IB2, IIA, or IIB Squamous Cervical Cancer: A Randomized Controlled Trial.

Authors:  Sudeep Gupta; Amita Maheshwari; Pallavi Parab; Umesh Mahantshetty; Rohini Hawaldar; Supriya Sastri Chopra; Rajendra Kerkar; Reena Engineer; Hemant Tongaonkar; Jaya Ghosh; Seema Gulia; Neha Kumar; T Surappa Shylasree; Renuka Gawade; Yogesh Kembhavi; Madhuri Gaikar; Santosh Menon; Meenakshi Thakur; Shyam Shrivastava; Rajendra Badwe
Journal:  J Clin Oncol       Date:  2018-02-12       Impact factor: 44.544

Review 2.  Cervical cancer.

Authors:  Paul A Cohen; Anjua Jhingran; Ana Oaknin; Lynette Denny
Journal:  Lancet       Date:  2019-01-12       Impact factor: 79.321

3.  Effect of laparoscopic versus abdominal radical hysterectomy on major surgical complications in women with stage IA-IIB cervical cancer in China, 2004-2015.

Authors:  Cong Liang; Ping Liu; Zhumei Cui; Zhiqing Liang; Xiaonong Bin; Jinghe Lang; Chunlin Chen
Journal:  Gynecol Oncol       Date:  2019-12-02       Impact factor: 5.482

4.  Standardization of morbidity assessment in breast cancer surgery using the Clavien Dindo Classification.

Authors:  Peter Panhofer; Veronika Ferenc; Michael Schütz; Andreas Gleiss; Peter Dubsky; Raimund Jakesz; Michael Gnant; Florian Fitzal
Journal:  Int J Surg       Date:  2014-01-31       Impact factor: 6.071

5.  Survival outcomes for women undergoing type III robotic radical hysterectomy for cervical cancer: a 3-year experience.

Authors:  Leigh A Cantrell; Alberto Mendivil; Paola A Gehrig; John F Boggess
Journal:  Gynecol Oncol       Date:  2010-02-13       Impact factor: 5.482

6.  The efficacy and safety of neoadjuvant chemotherapy in treatment of locally advanced carcinoma cervix.

Authors:  Uma Singh; Neetu Ahirwar; Anju Kumari Rani; Nisha Singh; Pushplata Sankhwar; Sabuhi Qureshi
Journal:  J Obstet Gynaecol India       Date:  2013-03-12

7.  Surgical outcomes of robotic radical hysterectomy after neoadjuvant chemotherapy for locally advanced cervical cancer: comparison with early stage disease.

Authors:  D Vitobello; G Siesto; C Pirovano; N Ieda
Journal:  Eur J Surg Oncol       Date:  2012-10-31       Impact factor: 4.424

8.  Cancer statistics in China, 2015.

Authors:  Wanqing Chen; Rongshou Zheng; Peter D Baade; Siwei Zhang; Hongmei Zeng; Freddie Bray; Ahmedin Jemal; Xue Qin Yu; Jie He
Journal:  CA Cancer J Clin       Date:  2016-01-25       Impact factor: 508.702

9.  Neoadjuvant chemotherapy with cisplatin, ifosfamide and paclitaxel for locally advanced squamous-cell cervical cancer.

Authors:  G Zanetta; A Lissoni; A Pellegrino; C Sessa; N Colombo; D Gueli-Alletti; C Mangioni
Journal:  Ann Oncol       Date:  1998-09       Impact factor: 32.976

10.  Predictors of complications in gynaecological oncological surgery: a prospective multicentre study (UKGOSOC-UK gynaecological oncology surgical outcomes and complications).

Authors:  R Iyer; A Gentry-Maharaj; A Nordin; M Burnell; R Liston; R Manchanda; N Das; R Desai; R Gornall; A Beardmore-Gray; J Nevin; K Hillaby; S Leeson; A Linder; A Lopes; D Meechan; T Mould; S Varkey; A Olaitan; B Rufford; A Ryan; S Shanbhag; A Thackeray; N Wood; K Reynolds; U Menon
Journal:  Br J Cancer       Date:  2014-12-23       Impact factor: 7.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.