Long-Term Oncologic Outcomes, Opioid Use, and Complications after Esophageal Cancer Surgery
by
Tak Kyu Oh
1, 
Kwhanmien Kim
2,
Sang Hoon Jheon
2,
Sang-Hwan Do
1,
Jung-Won Hwang
1,
Young-Tae Jeon
1,
Kooknam Kim
1 and
In-Ae Song
1,* 1
Department of Anesthesiology and Pain Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea
2
Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam 13620, Korea
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2018, 7(2), 33; https://doi.org/10.3390/jcm7020033
Submission received: 23 December 2017
/
Revised: 12 February 2018
/
Accepted: 14 February 2018
/
Published: 19 February 2018
(This article belongs to the Special Issue Management of Postoperative Pain)
Abstract
Effective and adequate opioid use and prevention of postoperative complications are important for enhanced recovery after surgery. We examined the effects of postoperative opioid use and postoperative complications on overall survival and recurrence-free survival after esophageal cancer surgery. This retrospective cohort study analyzed the records of patients diagnosed with esophageal cancer who underwent the Ivor Lewis operation between January 2005 and December 2011. We collected data on total opioid use for 8 days postoperatively, as well as information on postoperative complications (Clavien-Dindo classification). One hundred and twenty-one patients were included in the final analysis. Total opioid use was not significantly associated with overall survival (p = 0.520) and recurrence-free survival (p = 0.818). In contrast, the hazard ratio of postoperative overall survival was significantly higher with respect to Clavien-Dindo classification 1–2 (hazard ratio: 2.009, p = 0.046), 3a–3b (hazard ratio: 5.759, p < 0.001), and 4a–5 (hazard ratio: 3.982, p = 0.020) complications compared to no complications. Additionally, the hazard ratio of the recurrence-free survival was significantly higher in class 1–2 complications (hazard ratio: 2.336, p = 0.028) compared to none. Our study demonstrates that postoperative opioid use is not associated with survival and recurrence-free survival after esophageal cancer surgery, while postoperative complications may increase the hazard ratio for survival and recurrence-free survival.
1. Introduction
Although esophageal cancer is a highly fatal cancer, with the sixth highest cancer-related mortality rate [1] research data on esophageal cancer is limited compared to that of other cancers [2]. In general, curative resection is recommended for both limited (T1-2, N0-1, M0) and advanced (T3-4, N0-1, M0) esophageal cancer [3]. However, the recurrence rate remains high even after a successful curative resection, and long-term survival rate remains below 25% [4].
Enhanced recovery after surgery (ERAS), an important care pathway to effectively facilitate early recovery in postoperative patients, has short-term benefits including reduced hospital stay after esophageal cancer surgery [5]. Two key components of ERAS are the maintenance of effective pain control while reducing excessive opioid use and a reduction of postoperative complications. Opioids are reported to increase cancer recurrence after surgery by inducing immunosuppression through their effects on natural killer cell activity [6]. Postoperative complications are also reported to be associated with overall survival (OS) and recurrence rates [7,8]. Therefore, beyond the short-term benefits of ERAS, these two factors are also important with regard to long-term outcomes, particularly oncologic outcomes, which have recently emerged as a topic of emphasis [9].
Postoperative opioid use and postoperative complications after esophageal cancer are closely related because opioid use itself may cause postoperative complications, and patients with postoperative complications generally require more opioids. Thus, it is important to analyze these two factors together with regard to their relationship with OS and recurrence-free survival (RFS) in esophageal cancer patients postoperatively. Accordingly, this study aimed to comprehensively examine the effects of opioid use and postoperative complications on OS and RFS after curative resection in patients with esophageal cancer.
2. Materials and Methods
This retrospective cohort study was approved by the Institutional Review Board of the Seoul National University Bundang Hospital (SNUBH) (L2017-246-4). Adults aged ≥19 years old who were diagnosed with esophageal cancer and underwent elective surgical resection (Ivor Lewis operation) at the SNUBH between January 1, 2005 and December 31, 2011 were enrolled in this study. The exclusion criteria were as follows: (1) incomplete medical records; (2) incomplete resection; (3) history of chronic opioid use prior to surgery; and (4) pathologic stages T4, N2, N3, and M1 because a large tumor burden may override the putative effect of opioid and postoperative complications.
The following data were collected from the patients: sex, age, weight (kg), height (cm), postoperative complications (excluding postoperative hoarseness), Clavien-Dindo classification of postoperative complications, location and histologic type of tumor, tumor and lymph node status, adjuvant chemotherapy history, adjuvant radiotherapy history, American Society of Anesthesiologists (ASA) classification, operation time (min), length of hospital stay (days), intensive care unit readmission, epidural analgesia, date of death, date of recurrence, intraoperative remifentanil dose (mcg), and opioid use in the first 8 postoperative days (PODs) (POD 0–7). Postoperative complications were classified according to severity via the Clavien-Dindo classification (7 grades: 1, 2, 3a, 3b, 4a, 4b, and 5) [10]. In consideration of the fact that patients remained hospitalized for at least 9 days after the Ivor Lewis operation, opioid use during the period of 8 days (POD 0–7) was set as the total opioid use. To calculate the opioid use, the standard opioid conversion ratio was used to calculate the morphine equivalent daily dose (MEDD; mg) (Appendix A) [11,12]. Although remifentanil, which was used during and after surgery, is an opioid, its use was collected as a separate independent variable due to the lack of an accurate MEDD conversion ratio. Opioids injected via an epidural route were excluded from the data due to the absence of an accurate MEDD conversion ratio.
All surgical procedures were performed by a highly experienced thoracic surgery team at SNUBH using a standardized technique. Anesthesia was performed by the thoracic anesthesiologist team at SNUBH with a standardized general anesthesia technique using sevoflurane or desflurane and a continuous remifentanil infusion.
Postoperative pain control was generally obtained via fentanyl-based intravenous patient controlled analgesia (PCA) until POD 3, after which oral and intravenous opioids were used based upon the physician’s discretion and patient’s request. Data regarding adjuvant analgesia was not collected for this study because non-steroidal anti-inflammatory drugs are used in several forms, and a conversion formula is lacking. Data regarding acetaminophen use was not collected because it is not generally used until POD 7. All electronic medical record collection was performed by a blinded medical record technician from the medical informatics team at SNUBH. Additionally, the exact date of death of all participants was collected after submitting the rationale and aim of the study and obtaining approval from the Ministry of Public Administration and Security.
The primary aim of this study was to examine how opioid use (POD 0–7) and Clavien-Dindo classification are associated with OS. The secondary aim was to examine how opioid use (POD 0–7) and Clavien-Dindo classification are associated with RFS. For OS, all deaths were censored as an event from the day of surgery, and for RFS, all recurrence dates and deaths were censored as an event from the day of surgery.
Statistical Methods
Statistical calculations were performed using SPSS (version 12.0, Statistical Package for the Social Sciences, Chicago, IL, USA) and software R (version 3.3.2, A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria).
Cox regression analysis was used to verify the effects of different covariates and factors on the occurrence of esophageal cancer recurrence. Factor comparison was confirmed by the log-rank test and continuous variables by Cox regression analysis. Variables achieving a probability value of <0.1 in the univariate analysis were subsequently introduced in a multivariate Cox proportional-hazards regression model to identify those variables significantly associated with the occurrence and timing of recurrence. A separate analysis on the subset of patients who were similarly staged as advanced carcinoma was performed to neutralize a beneficial effect on recurrence in early cancer. p values <0.05 were considered statistically significant.
3. Results
A total of 141 patients were diagnosed with esophageal cancer and underwent the Ivor Lewis operation at SNUBH between January 1, 2005 and December 31, 2011. Eleven patients were excluded based on postoperative pathologic staging (N2, 7 patients; N3, 1 patient; M1, 3 patients), one patient for a history of chronic opioid use, six patients for incomplete resection, and two patients for incomplete medical records regarding opioid use, resulting in a total of 121 patients in the final analysis. Table 1 shows the baseline characteristics of the 121 patients, and Appendix B shows the type and incidence of postoperative complications. The OS and RFS of all patients are shown in Figure 1a,b.
3.1. Overall Survival
Table 2 shows the results of the univariate and multivariate regression analyses that revealed an association between each factor and OS. In essence, there were no significant associations between OS and intraoperative remifentanil use and opioid use (p = 0.235 and 0.520, respectively). Additionally, there was no significant restricted cubic spline (RCS) in relation to remifentanil dosage and opioid dosage (Figure 2a,b). When opioid dosage was divided into quartiles based on the RCS in Figure 2a to analyze its relationship to OS, there was still no statistically significant Hazard Ratio (HR) (p = 0.697).
In contrast, patients with Clavien-Dindo classification 1–2, 3a–3b, and 4a–5 complications all had a significantly higher HR compared to those with no complications (None vs. 1–2: HR, 2.009, 95% confidence interval (CI) 1.014–3.979, p = 0.046; None vs. 3a–3b: HR, 5.759, 95% CI 2.642–12.554, p < 0.001; None vs. 4a–5: HR 3.982, 95% CI 1.244–12.749, p = 0.020). Other factors that were associated with OS were age (HR: 1.040, 95% CI 1.005–1.075, p = 0.023), body mass index (BMI) (HR: 0.864, 95% CI 0.793–0.941, p = 0.001), tumor stage (1 (Ref) vs. 3, HR: 2.737, 95% CI 1.473–5.085, p = 0.001), and adjuvant radiotherapy (no (Ref) vs. yes, HR: 2.441, 95% CI 1.310–4.551, p = 0.005).
3.2. Recurrence Free Survival
Table 3 shows the association between each factor and RFS using univariate and multivariate regression analyses. In essence, there were no significant associations between RFS and intraoperative remifentanil use and opioid use (p = 0.838 and 0.818, respectively). In addition, the RCS was not significantly associated with remifentanil dosage or opioid dosage (Figure 3a,b). The HR, which was analyzed for RFS by dividing opioid dosage in tertiles based on the RCS shown in Figure 3a (reference: <33%), was significant in the 33–67% tertile (HR 2.385, p = 0.024) but was not significant in the >67% tertile (p = 0.194).
In terms of the Clavien-Dindo classification, the HR (2.336) (95% CI 1.096–3.984, p = 0.028) of RFS was significantly higher in patients with class 1–2 complications compared to those patients without complications, but the HR of patients with class 3a–5 complications was not significantly different from those without complications (p = 0.052). Other factors that were significantly associated with RFS were BMI (HR: 0.862, 95% CI 0.789–0.941, p = 0.001), tumor stage (1 (Ref) vs. 3, HR: 3.234, 95% CI 1.505–6.947, p = 0.003, and adjuvant radiotherapy (no (Ref) vs. yes, HR: 2.768, 95% CI 1.369–5.596, p = 0.005).
4. Discussion
Our study demonstrates that total opioid use from POD 0–7 and the additional intraoperative use of remifentanil did not affect the postoperative OS and RFS of patients with esophageal cancer. Additionally, we found that postoperative complications, scored using the Clavien-Dindo classification, were intimately associated with the OS (HR 2.009–5.759) and RFS (None vs. grade 1–2 complications, HR: 2.336, p = 0.028). These findings are in contrast with those of previous studies that suggested an association between opioid use and cancer recurrence [13,14]. In contrast, our findings are in agreement with previous reports stating that postoperative complications have an impact on OS and RFS after surgery for esophageal cancer [7,8]. The present study is particularly meaningful in that none of our patients was lost to follow-up, and patient death and tumor recurrence were tracked for a minimum of five years. Furthermore, ours is the first study to include remifentanil use as a separate variable in the analysis.
The postoperative period is known to be an important period for recurrence and metastasis after curative surgery [15], and postoperative opioid use, which has protumoral and immunosuppressive effects, is an important issue in oncology [6,13]. Notably, the Ivor Lewis operation for esophageal cancer may require greater postoperative use of opioids because both thoracotomy and laparotomy are performed. Moreover, recent studies have suggested that many esophageal squamous cell carcinoma cells express mu-opioid receptors, which may promote tumor cell growth and facilitate metastasis [16] This has raised concerns that opioid use in the postoperative period after esophageal cancer surgery may have adverse effects on long-term oncologic outcomes, such as OS or RFS. However, in our study, Cox hazard regression analysis revealed that opioid use was not significantly associated with OS and RFS in esophageal cancer patients.
In contrast, postoperative complications were found to be significantly associated with OS and RFS. This association is an important issue with regard to esophageal cancer surgery. Recent studies have reported that the Clavien-Dindo classification provides an effective assessment of complications after esophageal cancer surgery [17]. Postoperative complications using this classification were found to have an impact on patient OS or RFS in two previous studies [7,8], and our findings support the findings of these studies. Particularly, the indirect relationship between postoperative complications and RFS may be a more important issue than the direct relationship between postoperative complications and OS. The reasons for the relationship between RFS and postoperative complications may be multifactorial. First, postoperative complications may induce immunosuppressive effects via the stress response to more severe postoperative pain [18] and through immunosuppression caused by increased opioid use [6]. Further, immune dysfunction caused by malnutrition as a result of various postoperative complications [19] may also be a contributing factor. However, additional studies are needed to substantiate the direct relationship between RFS and postoperative complications.
Factors other than opioid use and postoperative complications were found to be related to OS and RFS in our study. First, BMI had a significant HR for OS (0.864) and RFS (0.862), suggesting that underweight status or malnutrition may have an adverse effect on OS and RFS. BMI was measured immediately before surgery, and our findings show that it is desirable to avoid an underweight status prior to surgery. Second, it is interesting that lymph node status did not have a significant impact on OS and RFS, unlike that of tumor stage. Although patients with 2+ and 3+ lymph node status were excluded from the study because of a large tumor burden, our findings are unusual considering that lymph node status has been associated with recurrence after esophageal cancer surgery [20]. Furthermore, we can explain the high HR of adjuvant radiotherapy for OS and RFS (2.441 and 2.768, respectively) based on the clinical features of patients who received radiotherapy. In general, adjuvant radiotherapy is performed for patients with a more advanced tumor stage or patients whose resection margin is narrower, even if complete resection was performed [21]. Therefore, it is difficult to single out radiotherapy as an independent factor contributing to a shorter OS and RFS. These findings conflict with those of previous studies and should be interpreted carefully. Additional studies are essential.
Our study has a few limitations. First, because this was a retrospective study conducted in a single center, there is a possibility of bias. Second, there may have been differences in surgical and anesthetic techniques in terms of patient management over the period from 2005 through 2011. Third, we used an opioid conversion ratio, but the accuracy of this conversion ratio remains controversial [22]. Finally, we could not examine the association between specific Clavien-Dindo classification grades of complications with the OS or RFS due to the relatively small sample size. Nevertheless, this study is meaningful in that it is the first study to analyze the effects of opioid use (including remifentanil) and postoperative complications as determined by the Clavien-Dindo classification on OS and RFS after esophageal cancer surgery.
In conclusion, our findings showed that postoperative opioid use was not associated with OS and RFS after esophageal cancer surgery, but postoperative complications increased the hazard ratios for OS and RFS. Well-designed prospective studies are needed to substantiate these relationships.
Acknowledgments
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Author Contributions
Tak Kyu Oh designed the study, analyzed the data, and drafted the manuscript; Kwhanmien Kim, Sang Hoon Jheon, and Sang-Hwan Do contributed to the acquisition of data and interpretation of data; Jung-Won Hwang, Young-Tae Jeon, Kooknam Kim and In-Ae Song contributed to the interpretation of data and provided critical revisions of the manuscript. All authors have given approval for the final version of the manuscript.
Conflicts of Interest
The authors declare that they have no competing interests.
Appendix A
Table A1.
Equianalgesic opioid conversion table.
| Opioid | Administration Route | Dose Equivalent to 10 mg of Oral Morphine (mg) |
|---|---|---|
| Morphine | Oral | 10 |
| Morphine | Intravenous | 3.3 |
| Morphine | Epidural | 0.33 |
| Hydromorphone | Oral | 2 |
| Fentanyl | Intravenous | 0.03 |
| Oxycodone | Oral | 7 |
| Codeine | Oral | 80 |
| Tramadol | Oral | 40 |
Appendix B
Table A2.
Postoperative complications after esophageal cancer surgery.
| Postoperative Complication | n | % |
|---|---|---|
| Pulmonary complication | 28 | 38% |
| Anastomtic leakage | 13 | 18% |
| Wound infection of dehiscence | 18 | 25% |
| Urinary tract infection | 1 | 1% |
| Chylothorax | 2 | 3% |
| New-onset arrythmia | 2 | 3% |
| Ileus | 2 | 3% |
| Acute kidney injury | 4 | 5% |
| Graft failure | 3 | 4% |
References
- Enzinger, P.C.; Mayer, R.J. Esophageal cancer. N. Engl. J. Med. 2003, 349, 2241–2252. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhang, Y. Epidemiology of esophageal cancer. World J. Gastroenterol. 2013, 19, 5598–5606. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Worni, M.; Castleberry, A.W.; Gloor, B.; Pietrobon, R.; Haney, J.C.; D’Amico, T.A.; Akushevich, I.; Berry, M.F. Trends and outcomes in the use of surgery and radiation for the treatment of locally advanced esophageal cancer: A propensity score adjusted analysis of the surveillance, epidemiology, and end results registry from 1998 to 2008. Dis. Esophagus 2014, 27, 662–669. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Stahl, M.; Budach, W.; Meyer, H.J.; Cervantes, A.; ESMO Guidelines Working Group. Esophageal cancer: Clinical practice guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 2010, 21 (Suppl. 5), v46–v49. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Blom, R.L.; van Heijl, M.; Bemelman, W.A.; Hollmann, M.W.; Klinkenbijl, J.H.; Busch, O.R.; van Berge Henegouwen, M.I. Initial experiences of an enhanced recovery protocol in esophageal surgery. World J. Surg. 2013, 37, 2372–2378. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Cata, J.P.; Gottumukkala, V.; Sessler, D.I. How regional analgesia might reduce postoperative cancer recurrence. Eur. J. Pain Suppl. 2011, 5, 345–355. [Google Scholar] [CrossRef] [Scilit]
- Lerut, T.; Moons, J.; Coosemans, W.; Van Raemdonck, D.; de Leyn, P.; Decaluwe, H.; Decker, G.; Nafteux, P. Postoperative complications after transthoracic esophagectomy for cancer of the esophagus and gastroesophageal junction are correlated with early cancer recurrence: Role of systematic grading of complications using the modified clavien classification. Ann. Surg. 2009, 250, 798–807. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Markar, S.; Gronnier, C.; Duhamel, A.; Mabrut, J.Y.; Bail, J.P.; Carrere, N.; Lefevre, J.H.; Brigand, C.; Vaillant, J.C.; Adham, M.; et al. The impact of severe anastomotic leak on long-term survival and cancer recurrence after surgical resection for esophageal malignancy. Ann. Surg. 2015, 262, 972–980. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bugada, D.; Bellini, V.; Fanelli, A.; Marchesini, M.; Compagnone, C.; Baciarello, M.; Allegri, M.; Fanelli, G. Future perspectives of eras: A narrative review on the new applications of an established approach. Surg. Res. Pract. 2016. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Clavien, P.A.; Barkun, J.; de Oliveira, M.L.; Vauthey, J.N.; Dindo, D.; Schulick, R.D.; de Santibanes, E.; Pekolj, J.; Slankamenac, K.; Bassi, C.; et al. The Clavien-Dindo classification of surgical complications: Five-year experience. Ann. Surg. 2009, 250, 187–196. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Benzon, H.; Rathmell, J.P.; Wu, C.L.; Turk, D.C.; Argoff, C.E. Raj’s Practical Management of Pain. Elsevier Health Sciences: Amsterdam, The Netherlands, 2008. [Google Scholar]
- Jacox, A.; Carr, D.; Payne, R.; Berde, C.; Breitbart, W.; Cain, J.; Chapman, C.; Cleeland, C.; Ferrell, B.; Finley, R. Management of cancer pain-adults. Am. Fam. Physician 1994, 49, 1853–1868. [Google Scholar]
- Cata, J.P.; Keerty, V.; Keerty, D.; Feng, L.; Norman, P.H.; Gottumukkala, V.; Mehran, J.R.; Engle, M. A retrospective analysis of the effect of intraoperative opioid dose on cancer recurrence after non-small cell lung cancer resection. Cancer Med. 2014, 3, 900–908. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Maher, D.P.; Wong, W.; White, P.F.; McKenna, R., Jr.; Rosner, H.; Shamloo, B.; Louy, C.; Wender, R.; Yumul, R.; Zhang, V. Association of increased postoperative opioid administration with non-small-cell lung cancer recurrence: A retrospective analysis. Br. J. Anaesth. 2014, 113 (Suppl. 1), i88–i94. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sessler, D.I. Does regional analgesia reduce the risk of cancer recurrence? A hypothesis. Eur. J. Cancer. Prev. 2008, 17, 269–272. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Zhang, Y.F.; Xu, Q.X.; Liao, L.D.; Xu, X.E.; Wu, J.Y.; Wu, Z.Y.; Shen, J.H.; Li, E.M.; Xu, L.Y. Association of mu-opioid receptor expression with lymph node metastasis in esophageal squamous cell carcinoma. Dis. Esophagus 2015, 28, 196–203. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Umezawa, H.; Nakao, J.; Matsutani, T.; Kuwahara, H.; Taga, M.; Ogawa, R. Usefulness of the Clavien-Dindo classification in understanding the limitations and indications of larynx-preserving esophageal reconstruction. Plast. Reconstr. Surg. Glob. Open 2016, 4, e1113. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Beilin, B.; Shavit, Y.; Trabekin, E.; Mordashev, B.; Mayburd, E.; Zeidel, A.; Bessler, H. The effects of postoperative pain management on immune response to surgery. Anesth. Analg. 2003, 97, 822–827. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Bourke, C.D.; Berkley, J.A.; Prendergast, A.J. Immune dysfunction as a cause and consequence of malnutrition. Trends Immunol. 2016. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kunisaki, C.; Makino, H.; Kimura, J.; Oshima, T.; Fujii, S.; Takagawa, R.; Kosaka, T.; Ono, H.A.; Akiyama, H. Impact of lymph-node metastasis site in patients with thoracic esophageal cancer. J. Surg. Oncol. 2010, 101, 36–42. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Chen, H.; Wang, Z.; Yang, Z.; Shang, B.; Liu, X.; Chen, G. Prospective study of adjuvant radiotherapy on preventing lymph node metastasis after Ivor-Lewis esophagectomy in esophageal cancer. Ann. Surg. Oncol. 2013, 20, 2721–2726. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- O’Bryant, C.L.; Linnebur, S.A.; Yamashita, T.E.; Kutner, J.S. Inconsistencies in opioid equianalgesic ratios: Clinical and research implications. J. Pain. Palliat. Care. Pharmacother. 2008, 22, 282–290. [Google Scholar] [CrossRef] [Scilit] [PubMed]
Figure 1.
(a) Overall survival of all patients, mean (months): 7.2, SD 0.4, 95% confidence interval 6.4–8.0, median (months): 7.5, SD 1.2, 95% confidence interval 5.1–10.0; (b) Mean recurrence-free survival of all patients (months): 7.5, SD 0.5, 95% confidence interval 6.6–8.4.
Figure 1.
(a) Overall survival of all patients, mean (months): 7.2, SD 0.4, 95% confidence interval 6.4–8.0, median (months): 7.5, SD 1.2, 95% confidence interval 5.1–10.0; (b) Mean recurrence-free survival of all patients (months): 7.5, SD 0.5, 95% confidence interval 6.6–8.4.
Figure 2.
Restricted cubic spline in relation to opioid dosage (a) and remifentanil dosage (b) with overall survival.
Figure 2.
Restricted cubic spline in relation to opioid dosage (a) and remifentanil dosage (b) with overall survival.
Figure 3.
Restricted cubic spline in relation to opioid dosage (a) and remifentanil dosage (b) with recurrence-free survival.
Figure 3.
Restricted cubic spline in relation to opioid dosage (a) and remifentanil dosage (b) with recurrence-free survival.
Table 1.
Distribution for patient characteristics.
| Characteristics | Number (%) | Mean (SD) | |
|---|---|---|---|
| Total | 121 | ||
| Age (years) | 63.5 (8.9) | ||
| Body mass index (kg m−2) | 22.5 (3.2) | ||
| Sex: Male | 116 (95.9%) | ||
| ASA classification | |||
| 1 | 28 (23.1%) | ||
| 2 | 77 (63.6%) | ||
| 3 | 16 (13.2%) | ||
| Operation time (min) | 416.7 (127.1) | ||
| Estimated blood loss (mL) | 512.4 (573.8) | ||
| Location of tumor | |||
| Upper | 24 (19.8%) | ||
| Middle | 18 (14.9%) | ||
| Lower | 79 (65.3%) | ||
| Pathology of tumor | |||
| Squamous cell carcinoma | 111 (91.7%) | ||
| Adenocarcinoma | 10 (8.3%) | ||
| Pathologic cancer stage | |||
| IA, IB | 40 (33.0%) | ||
| IIA, IIB | 58 (47.0%) | ||
| IIIA, IIIB, IIIC | 23 (19.0%) | ||
| Pathologic tumor stage | |||
| T1 | 50 (41.3%) | ||
| T2 | 25 (20.7%) | ||
| T3 | 46 (38.0%) | ||
| Pathologic lymph node stage | |||
| N0 | 72 (59.5%) | ||
| N1 | 49 (40.5%) | ||
| Adjuvant chemotherapy | 43 (35.5%) | ||
| Adjuvant radiotherapy | 19 (15.7%) | ||
| Postoperative complication | 46 (38.0%) | ||
| Clavien-dindo classification | |||
| None | 75 (61.2%) | ||
| 1 + 2 | 18 (14.9%) | ||
| 3a + 3b | 18 (14.9%) | ||
| 4a + 4b + 5 | 10 (8.3%) | ||
| ICU readmission | 10 (8.3%) | ||
| Epidural analgesia | 7 (5.8%) | ||
| Intraoperative remifentanil dose (mcg) | 1284.6 (1363.8) | ||
| Opioid consumption in POD 0–7, MEDD (mg) | 884.0 (458.5) | ||
SD, Standard Deviation; ASA, American Society of Anesthesiologists; ICU, Intensive Care Unit; POD, Postoperative Day; MEDD, Morphine Equivalent Daily.
Table 2.
Univariate and multivariate cox regression analysis for overall survival in esophageal cancer patients.
Table 2.
Univariate and multivariate cox regression analysis for overall survival in esophageal cancer patients.
| Univariate Cox Regression Model | Multivariate Cox Regression Model | ||||
|---|---|---|---|---|---|
| Variables | Hazard ratio (95% CI) | p value | Hazard Ratio (95% CI) | p value | |
| Age | 1.028 (0.998–1.060) | 0.072 | 1.040 (1.005–1.075) | 0.023 | |
| Sex: male | 1.247 (0.304–5.108) | 0.759 | |||
| Body mass index | 0.879 (0.811–0.954) | 0.002 | 0.864 (0.793–0.941) | 0.001 | |
| ASA classification | |||||
| 2 (vs 1) | 2.197 (1.030–4.684) | 0.042 | 2.259 (0.984–5.186) | 0.055 | |
| 3 (vs 1) | 2.919 (1.191–7.151) | 0.019 | 1.938 (0.752–4.991) | 0.171 | |
| Epidural analgesia | 1.756 (0.702–4.392) | 0.229 | |||
| Length of hospital stay | 1.008 (0.999–1.017) | 0.074 | 0.996 (0.982–1.010) | 0.562 | |
| ICU readmission | 1.362 (0.585–3.168) | 0.473 | |||
| Operation time | 1.001 (1.000–1.003) | 0.136 | |||
| Estimated blood loss | 1.000 (1.000–1.000) | 0.783 | |||
| Pathology of tumor: squamous cell carcimoma | 1.247 (0.452–3.439) | 0.670 | |||
| Location of tumor | |||||
| Middle (vs upper) | 1.371 (0.645–2.912) | 0.412 | |||
| Lower (vs upper) | 0.622 (0.344–1.125) | 0.116 | |||
| Pathologic cancer stage | |||||
| IIA, IIB (vs IA, IB) | 2.514 (1.359–4.651) | 0.003 | 1.841 (0.889–3.815) | 0.101 | |
| IIIA, IIIB, IIIC (vs IA, IB) | 2.271 (1.076–4.793) | 0.031 | 1.920 (0.877–4.204) | 0.103 | |
| Pathologic tumor stage | |||||
| T2 (vs T1) | 1.288 (0.621–2.761) | 0.496 | 1.570 (0.716–3.446) | 0.260 | |
| T3 (vs T1) | 2.474 (1.418–4.316) | 0.001 | 2.737 (1.473–5.085) | 0.001 | |
| Pathologic lymph node stage | |||||
| N1 (vs N0) | 1.315 (0.799–2.165) | 0.281 | |||
| Adjuvant chemotherapy | 1.452 (0.878–2.402) | 0.146 | |||
| Adjuvant radiotherapy | 3.035 (1.723–5.345) | <0.001 | 2.441 (1.310–4.551) | 0.005 | |
| Intraoperative remifentanil (mcg) | 1.000 (1.000–1.000) | 0.235 | |||
| Opioid consumption in POD 0–7, MEDD (mg) | 1.000 (0.999–1.001) | 0.520 | |||
| ≤630 (25%) | 1 | 0.697 | |||
| ≤843 (50%) | 0.923 (0.452–1.884) | ||||
| ≤1125 (75%) | 1.333 (0.681–2.612) | ||||
| > 1125 | 0.950 (0.456–1.982) | ||||
| Clavien-dindo classification | |||||
| 1 + 2 (vs no complication) | 2.182 (1.123–4.239) | 0.021 | 2.009 (1.014–3.979) | 0.046 | |
| 3a + 3b (vs no complication) | 4.351 (2.324–8.145) | <0.001 | 5.759 (2.642–12.554) | <0.001 | |
| 4a + 4b + 5 (vs no complication) | 3.137 (1.358–7.247) | 0.007 | 3.982 (1.244–12.749) | 0.020 | |
Multivariate cox regression model: Variables with p-value <0.1 from the univariable cox regression model were included in the multivariable model CI, confidence interval; ASA, American Society of Anesthesiologists; ICU, intensive care unit; MEDD, morphine equivalent daily dose.
Table 3.
Univariate and multivariate Cox regression analysis for recurrence-free survival in esophageal cancer patients.
Table 3.
Univariate and multivariate Cox regression analysis for recurrence-free survival in esophageal cancer patients.
| Univariate Cox Regression Model | Multivaiate Cox Regression Model | ||||
|---|---|---|---|---|---|
| Variables | Hazard Ratio (95% CI) | p value | Hazard Ratio (95% CI) | p value | |
| Age | 1.010 (0.976–1.045) | 0.576 | |||
| Sex: male | 0.914 (0.222–3.770) | 0.901 | |||
| Body Mass Index | 0.843 (0.771–0.923) | <0.001 | 0.862 (0.789–0.941) | 0.001 | |
| ASA classification | |||||
| 2 (vs 1) | 2.473 (1.039–5.885) | 0.041 | 1.783 (0.726–4.381) | 0.207 | |
| 3 (vs 1) | 1.954 (0.629–6.067) | 0.246 | 1.100 (0.342–3.534) | 0.873 | |
| Epidural analgesia | 1.695 (0.608–4.725) | 0.313 | |||
| Length of hospital stay | 1.003 (0.990–1.015) | 0.684 | |||
| ICU readmission | 1.265 (0.393–4.075) | 0.693 | |||
| Operation time | 0.999 (0.997–1.002) | 0.552 | |||
| Estimated blood loss | 1.000 (0.999–1.000) | 0.770 | |||
| Pathology of tumor : Squamous cell carcimoma | 1.362 (0.423–4.387) | 0.605 | |||
| Location of tumor | |||||
| Middle (vs upper) | 1.305 (0.540–3.151) | 0.555 | |||
| Lower (vs upper) | 0.691 (0.343–1.394) | 0.302 | |||
| Pathologic cancer stage | |||||
| IIA, IIB (vs IA, IB) | 2.574 (1.199–5.528) | 0.015 | 2.094 (0.807–5.435) | 0.129 | |
| IIIA, IIIB, IIIC (vs IA, IB) | 3.748 (1.595–8.803) | 0.002 | 1.885 (0.673–5.283) | 0.228 | |
| Pathologic tumor stage | |||||
| T2 (vs T1) | 1.563 (0.638–3.827) | 0.328 | 1.489 (0.557–3.984) | 0.428 | |
| T3 (vs T1) | 4.067 (2.048–8.075) | <0.001 | 3.234 (1.505–6.947) | 0.003 | |
| Pathologic lymph node stage | |||||
| N1 (vs N0) | 1.486 (0.838–2.636) | 0.175 | |||
| Adjuvant chemotherapy | 2.657 (1.491–4.734) | <0.001 | 1.447 (0.730–2.870) | 0.290 | |
| Adjuvant radiotherapy | 3.859 (2.062–7.220) | <0.001 | 2.768 (1.369–5.596) | 0.005 | |
| Intraoperative remifentanil (mcg) | 1.000 (1.000–1.000) | 0.838 | |||
| Opioid consumption in POD 0–7, MEDD (mg) | 0.818 | ||||
| ≤684 (33%) | 1 | ||||
| ≤1020.6 (67%) | 2.385 (1.122–5.072) | 0.024 | |||
| >1020.6 | 1.689 (0.766–3.722) | 0.194 | |||
| Clavien-dindo classification | |||||
| 1 + 2 (vs no complication) | 2.622 (1.269–5.417) | 0.009 | 2.336 (1.096–3.984) | 0.028 | |
| 3a + 3b + 4a + 4b + 5 (vs no complication) | 2.457 (1.255–4.812) | 0.009 | 2.040 (0.994–4.183) | 0.052 | |
Multivariate cox regression model: Variables with p-value < 0.1 from the univariable cox regression model were included in the multivariable model. CI, confidence interval; ASA, American Society of Anesthesiologists; ICU, intensive care unit; MEDD, morphine equivalent daily dose.
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Oh, T.K.; Kim, K.; Jheon, S.H.; Do, S.-H.; Hwang, J.-W.; Jeon, Y.-T.; Kim, K.; Song, I.-A. Long-Term Oncologic Outcomes, Opioid Use, and Complications after Esophageal Cancer Surgery. J. Clin. Med. 2018, 7, 33. https://doi.org/10.3390/jcm7020033
AMA Style
Oh TK, Kim K, Jheon SH, Do S-H, Hwang J-W, Jeon Y-T, Kim K, Song I-A. Long-Term Oncologic Outcomes, Opioid Use, and Complications after Esophageal Cancer Surgery. Journal of Clinical Medicine. 2018; 7(2):33. https://doi.org/10.3390/jcm7020033
Chicago/Turabian StyleOh, Tak Kyu, Kwhanmien Kim, Sang Hoon Jheon, Sang-Hwan Do, Jung-Won Hwang, Young-Tae Jeon, Kooknam Kim, and In-Ae Song. 2018. "Long-Term Oncologic Outcomes, Opioid Use, and Complications after Esophageal Cancer Surgery" Journal of Clinical Medicine 7, no. 2: 33. https://doi.org/10.3390/jcm7020033
APA StyleOh, T. K., Kim, K., Jheon, S. H., Do, S.-H., Hwang, J.-W., Jeon, Y.-T., Kim, K., & Song, I.-A. (2018). Long-Term Oncologic Outcomes, Opioid Use, and Complications after Esophageal Cancer Surgery. Journal of Clinical Medicine, 7(2), 33. https://doi.org/10.3390/jcm7020033
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