Next Article in Journal
Leaping the Boundaries in Laparoscopic Liver Surgery for Hepatocellular Carcinoma
Next Article in Special Issue
The Role of Prehabilitation in Modern Esophagogastric Cancer Surgery: A Comprehensive Review
Previous Article in Journal
Determinants of Survival and Post-Progression Outcomes by Sorafenib–Regorafenib Sequencing for Unresectable Hepatocellular Carcinoma
Previous Article in Special Issue
Feasibility and Impact of Adapted Physical Activity (APA) in Cancer Outpatients Beginning Medical Anti-Tumoral Treatment: The UMA-CHAPA Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Influence of Esophageal Endoscopic Submucosal Dissection on the Changes of Energy Metabolism during the Perioperative Period

by
Sae Kudo
1,
Daisuke Chinda
2,*,
Tadashi Shimoyama
3,
Kohei Yasuda
1,
Kazuki Akitaya
1,
Tetsu Arai
1,
Kuniaki Miyazawa
1,
Shiro Hayamizu
1,
Miyuki Yanagimachi
4,
Toshiaki Tsukamoto
5,
Masatoshi Kaizuka
1,
Yohei Sawada
1,
Tetsuya Tatsuta
1,
Keisuke Hasui
1,
Hidezumi Kikuchi
6,
Hiroto Hiraga
1,
Hirotake Sakuraba
1,
Tatsuya Mikami
7 and
Shinsaku Fukuda
1
1
Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan
2
Division of Endoscopy, Hirosaki University Hospital, Hirosaki 036-8563, Japan
3
Aomori General Health Examination Center, Aomori 030-0962, Japan
4
Department of Endocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan
5
Division of Rehabilitation, Hirosaki University Hospital, Hirosaki 036-8563, Japan
6
Department of Community Medicine, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan
7
Center of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan
*
Author to whom correspondence should be addressed.
Cancers 2022, 14(8), 2015; https://doi.org/10.3390/cancers14082015
Submission received: 23 March 2022 / Revised: 8 April 2022 / Accepted: 14 April 2022 / Published: 15 April 2022
(This article belongs to the Special Issue Physical Activity and Cancer Care)

Abstract

:

Simple Summary

This study aimed to measure resting energy expenditure (REE) and assess the physical invasiveness of esophageal endoscopic submucosal dissection (ESD) during perioperative periods. In addition, the factors affecting changes in REE were investigated. Subjects were examined using an indirect calorimeter and the stress factor was calculated based on basal energy expenditure and body weight. REE/body weight on the day following ESD was significantly higher than that of the same day. The stress factor on the day after ESD was 1.11. The increase in WBC, neutrophil, and CRP levels was associated with the change in REE ratio. Among the factors affecting changes in energy metabolism, only the total resection area was associated with changes in REE. It is suggested that patients who undergo esophageal ESD require more attention in perioperative management when the resection area of the lesions is larger.

Abstract

Esophageal endoscopic submucosal dissection (ESD) is considered to be more complex than gastric ESD. This study aimed to assess the physical invasiveness of esophageal ESD during perioperative periods by measuring resting energy expenditure (REE). The factors affecting REE that could be used to identify patients requiring perioperative management were also investigated. Overall, 75 patients who had undergone esophageal ESD were prospectively enrolled. REE, body weight, and basal energy expenditure were measured on the day of and the day following ESD. The mean REE/body weight was 20.2 kcal/kg/day on the day of ESD and significantly increased to 23.0 kcal/kg/day one day after ESD. The stress factor on the day after ESD was 1.11. White blood cell, neutrophil, and C-reactive protein levels increased on the day after ESD and correlated with the changes in REE. Among the factors including age, body mass index, total resection area, operation time, and sarcopenia, only the total resection area was associated with changes in REE. In conclusion, energy metabolism increases during the perioperative period for esophageal ESD. The increase in the stress factor for esophageal ESD was higher than that in gastric and colorectal ESD. Furthermore, patients with large resection areas require greater attention in perioperative management.

1. Introduction

Esophageal cancer is the sixth leading cause of cancer-related deaths worldwide, and its treatment depends on the activities of daily living and patient disease stage [1]. In older patients, full esophagectomy is considered a highly invasive procedure because treatment can deteriorate patient conditions [2]. Chemoradiotherapy (CRT) has been recognized as a reliable treatment regardless of disease stages in esophageal cancer. However, late toxicities caused by CRT often become fatal [2,3]. Endoscopic submucosal dissection (ESD) for superficial esophageal cancer is an efficacious treatment in terms of functional preservation and safety, especially in older patients [4,5,6,7]. ESD has been the standard treatment for superficial esophageal cancer in Japan since 2012 as it allows en bloc resection and has a low risk of local cancer recurrence [7,8]. Esophageal ESD is also recommended as a first-line treatment for clinical T1a-Epithelium/lamina propria mucosae diagnosed as noncircumferential esophageal cancer or in long-axis whole-circumferential esophageal cancers < 50 mm [7]. In addition, clinical T1a-muscularis mucosae/T1b-submucosa 1 esophageal cancer is also considered an indication for ESD if it is noncircumferential [7].
During operations such as ESD, hypermetabolism can be induced by inflammation and protein catabolism [9,10,11], reflecting the invasiveness of the surgery [10]. Differences in the degree of energy metabolism are caused by the production of pro-inflammatory cytokines and increased glucose oxidation during pathological stress [12]. In our previous study, changes in resting energy expenditure (REE) were measured using an indirect calorimeter during the perioperative period for gastric and colorectal ESD. Based on these results, the increase in REE on the day following ESD was low compared to that experienced after open surgery; therefore, ESD was recognized as a less invasive treatment [13,14].
However, esophageal ESD is considered a more complex procedure than gastric ESD [15,16]. In addition, bacteremia and postoperative stricture are perioperative complications common in esophageal ESD. Several studies have reported that blood cultures obtained 10 min after gastric ESD and 5 min after colorectal ESD were positive in 4.3% and 2.5% of patients, respectively [17,18]. Furthermore, the rate of bacteremia was 12–22% after esophageal bougienage and 0–52% after variceal sclerotherapy [17,19]. In these procedures, the cultured microorganisms were oral commensal bacteria [17,20]. Although a few studies have investigated bacteremia in esophageal ESD, bacteremia can occur after esophageal ESD. Postoperative stricture occurred in 90% of patients with lesions > 3/4 of the circumference of the lumen [21]. For the above reasons, it is possible that the physical invasiveness of esophageal ESD during the perioperative period differs from that of gastric and colorectal ESD.
This study aimed to measure REE using an indirect calorimeter and assess physical invasiveness during the perioperative period for esophageal ESD. Additionally, we investigated the factors affecting changes in REE to identify cases that required additional care in perioperative management. We found that for esophageal ESD, energy metabolism increased during the perioperative period, and its degree of invasiveness was low compared with that of open surgery.

2. Materials and Methods

2.1. Measuring REE Using an Indirect Calorimeter

Table 1 shows the patient characteristics. Between July 2013 and March 2019, we enrolled 116 consecutive patients who were to undergo esophageal ESD at Hirosaki University Hospital. We excluded patients with a history of liver cirrhosis, respiratory diseases, and thyroid diseases; those undergoing artificial dialysis; and those with other malignancies. Finally, 75 patients (median age 66 years; 67 men) were included in the study (Figure 1). We evaluated our sample using a power of 80% and a two-sided alpha level of 0.05. The standard deviation was computed using the prediction value based on data from our previous research on ESD for gastric cancer. As a result, the sample size of 75 had a statistical power of 0.9986 (REE/body weight) and a stress factor of 0.9995.
All ESD procedures (75 subjects) were carried out by five endoscopists certified by the Japan Gastroenterological Endoscopy Society (JGE) using a conventional single-channel video endoscope (GIF-Q260J, H260, or H290; Olympus, Tokyo, Japan) with a hood. The ESD procedure was performed using a water jet short needle knife (Flush Knife BT-S; DK2620J, Fujinon, Tokyo, Japan), a water jet hook knife (KD-620LR, Olympus, Tokyo, Japan), and a high-frequency generator with an automatically controlled system (VIO3 or VIO300D; ERBE, Tübingen, Germany). All patients were administered intravenous pethidine hydrochloride 25 mg/body and diazepam 5 mg/body or midazolam 2 mg/body prior to the start of ESD. These drugs were increased as appropriate depending on the degree of sedation, and a total of 25–100 mg/body pethidine hydrochloride and 5–20 mg/body diazepam or midazolam in 5–10 mg/body were finally administered before and during ESD. In addition to these drugs, dexmedetomidine hydrochloride was used for sedation in three patients. Dexmedetomidine hydrochloride was started at 6 μg/h/kg for the first 10 min and subsequently decreased to 0.4 μg/h/kg by continuous intravenous infusion.
REE was examined using an indirect calorimeter (METAVINE-N VMB-002N; VINE, Tokyo, Japan) on the day of and day after ESD [14,22]. Each patient fasted for more than 12 h, and REE was measured after 30 min of bed rest early in the morning on the day of and the day after ESD. The REE was determined three times and the average value was calculated. If the variability exceeded the range of 100 kcal, a fourth measurement was taken and REE was calculated using the average of the three values, excluding the one farthest from the average of the two medians. In a previous study, gas infusion tests in three indirect calorimeters showed great reproducibility and accuracy (within 3%) for energy expenditure [23]. In this study, three REE measurements were within the range of 100 kcal for 61 of 75 subjects (81.3%) before ESD and 62 of 75 subjects (82.6%) on postoperative day 1 (POD1), indicating high reproducibility. Afterward, ESD was performed and REE in the fasted state was similarly measured in the morning on POD1. Furthermore, the body weight of each patient was measured on the day of and the day after ESD. We used these measurements to calculate the changes in REE/body weight ratio.

2.2. BEE and Stress Factors

Basal energy expenditure (BEE) was assessed using the Harris–Benedict equation [24] based on Long’s method [25]. The REE was calculated by multiplying the BEE with stress and activity factors. The stress factor is one of the markers of hypermetabolic status [26,27]. Assuming REE/BEE on the day of ESD to be 1.00, the REE/BEE on POD1 can likely be considered a stress factor because the activity factors on the day of ESD and POD1 are the same in the resting state.

2.3. Hematological Response in Perioperative Period

The blood samples were collected in the morning on the day of ESD and POD1 after fasting for 12 h while resting. The number and differential counts of white blood cells (WBC) were measured using XE-5000 (Sysmex, Kobe, Japan). The serum levels of C-reactive protein (CRP) were measured using a JCA-BM6070 (EOL Ltd., Tokyo, Japan).
The change ratios of WBC, neutrophil, and CRP were investigated and correlated with changes in REE using the Spearman rank correlation coefficient.

2.4. Factor Associated with Change Ratio of REE during Perioperative Period

Age, body mass index (BMI), total resection area, operation time, and sarcopenia were evaluated as factors affecting changes in energy metabolism. The patients were divided into two groups. The cut-off values were as follows: age, 65 years (definition of older age provided by the World Health Organization [28]) and BMI, 25 (kg/m2) (definition of obesity [29]). The resection area was calculated by approximating an elliptical shape with the long and short axes of the resected specimens. For the nine subjects with multiple lesions, the total resection area was computed from all resected specimens. The total resection area and operation time were selected as the cut-offs for the median value (6.9 cm2 and 75 min). Sarcopenia is defined as a condition with low skeletal muscle mass and strength [30]. Skeletal muscle mass was expressed as skeletal muscle index (SMI) [31,32]. SMI evaluation using dual-energy X-ray absorptiometry or bioelectrical impedance analysis is the gold standard method; however, these methods are not easily available in common facilities [33]. As SMI correlates with psoas muscle index (PMI) [33,34], we used computed tomography in the preoperative period and estimated PMI by the cross-sectional area of the muscle at the third lumbar vertebra level normalized based on the patient’s height (cm2/m2) [35,36]. The cut-off value of PMI was defined as 6.0 cm2/m2 for men and 3.4 cm2/m2 for women [35]. These factors were computed between the two groups to determine the change ratio of REE from the preoperative to the postoperative state.

2.5. Statistical Analysis

The statistical analysis of the clinical data was performed using SPSS (version 24.0; SPSS Inc., Chicago, IL, USA) and R (R Foundation for Statistical Computing, version R-3.4.3). Data are expressed as medians and interquartile ranges. Statistical differences were analyzed using the paired t-test, the Wilcoxon signed-rank test, and the Mann–Whitney U test. We also used a non-parametric mixed regression model to examine the relationship between each factor and changes in REE, and performed multivariate analysis using generalized linear models. A p-value of less than 0.05 was considered statistically significant.

3. Results

3.1. REE, REE/Body Weight, and REE/BEE

The changes in REE, REE/body weight, and REE/BEE are shown in Table 2. The REE on POD1 was elevated in 56 of 75 patients (74.7%) compared with that on the day of ESD. The median of REE was 1194.7 kcal/day on the day of ESD, but 1340.0 kcal/day on POD1, significantly higher by 12.2% (p < 0.001).
There was no significant difference in REE changes between the five operators (data not shown).
The REE/body weight ratio was elevated in 63 of the 75 patients (84.0%). The median REE/body weight was 20.2 kcal/kg/day on the day of ESD and significantly increased to 23.0 kcal/kg/day on POD1, significantly higher by 14.8% (p < 0.05; Figure 2a).
The median REE/BEE ratio was elevated in 64 of 76 patients (84.2%). There was a significant increase from 0.95 to 1.06 between the preoperative and postoperative statuses, respectively (p < 0.05; Figure 2b). The stress factor on POD1 was 1.11.

3.2. Correlation between Change Ratio of REE and Laboratory Findings

Table 3 shows the results of the changes in WBC (neutrophils, monocytes, eosinophils, basophils, and lymphocytes) and CRP. WBC, neutrophils, monocytes, and CRP increased significantly on POD1 in comparison with the day of ESD (p < 0.001). Conversely, eosinophils, basophils, and lymphocytes decreased significantly on the day after ESD (p < 0.001). The change ratios of laboratory findings (WBC, neutrophils, and CRP) showed significant positive correlations with the change ratio of REE during the perioperative period (r = 0.329, p < 0.005; r = 0.285 and p < 0.05, r = 0.318 and p < 0.01, respectively; Figure 3).

3.3. Factors Affecting Changes in REE

Table 4 shows the results of univariate analysis. The change ratio of REE in the small resection area (<6.9 cm2) group was significantly lower than that in the large resection area (≥6.9 cm2) group (p < 0.05). The size of the resection area was positively associated with the change ratio of REE. In contrast, there were no significant differences in age (<65 vs. ≥65), BMI (<25 kg/m2 vs. ≥25 kg/m2), operation time (<75 min vs. ≥75 min), or sarcopenia (PMI < 6.0 cm2/m2 vs. ≥6.0 cm2/m2 for men and <3.4 cm2/m2 vs. ≥3.4 cm2/m2 for women, respectively). Table 5 shows the results of the multivariate analysis using generalized linear models. There was no significant difference for each factor, but the value of estimates was the highest in the total resection area.

4. Discussion

Energy metabolism is accelerated by physical invasion. REE and REE/body weight on the day after esophageal ESD increased significantly by 12.2% and 14.8%, respectively, compared with those on the day of ESD. The stress factor on POD1 was 1.11, and REE/BEE on the day of ESD was 1.00. In addition, the WBC, neutrophil, and CRP levels were elevated significantly on the day after ESD and were correlated with the change ratio of REE. Therefore, it became clear that the physical invasiveness of esophageal ESD was due to increased energy metabolism and inflammation.
In a previous study of surgical procedures, REE/body weight increased by 31% in 35 Japanese male patients aged 40–76 years on the day after esophagectomy as compared with that in the preoperative period [37]. Furthermore, REE/body weight was 23.3 ± 2.1 kcal/kg/day before esophagectomy, but it was 27.3 ± 3.5 kcal/kg/day on POD7. The REE/body weight on POD7 was significantly higher (by 12%) [12]. Our study showed that the degree of increase in the REE/body weight of esophageal ESD on the next day was approximately half that of esophagectomy, and at the same level of esophagectomy on POD7. The stress factor of esophagectomy was defined as 1.8 on POD3 [38]. Thus, the stress factor of esophageal ESD on the day after surgery was lower than that of esophagectomy on POD3. The present study suggests that esophageal ESD is less invasive than open surgery.
Our previous study indicated that during the perioperative period of gastric and colorectal ESD, REE/ body weight increased by 7.3% and 6.8%, respectively, on the day after ESD, and the stress factors were 1.07 and 1.06, respectively [13,14]. In this study, the degree of increase in esophageal ESD was higher than that of those procedures, suggesting a higher invasiveness of esophageal ESD in comparison with that of gastric or colorectal ESD.
In addition, the excessive production of inflammatory cytokines in the acute phase response to surgery or infection is known to lead to the activation of leukocytes [39]. On POD1 of gastric and colorectal ESD, the WBC and CRP levels significantly increased [5,40]. As shown in previous prospective studies, WBC and CRP levels were increased on POD1 of colorectal ESD or laparoscopy-assisted colectomy for colorectal cancer [41]. Data obtained from esophageal ESD suggested that inflammation is also related to an increase in REE.
The present study revealed that the total resection area was associated with energy metabolism during the perioperative period of esophageal ESD. One possible reason for this is that oral commensal bacteria affect post-ESD ulcers. In previous studies on gastric ESD, bacteremia was caused by oral commensal bacteria [17], and the degree of total resection area was associated with an increase in REE on POD1 [14]. In the evaluation of serum opsonic activity measured using the chemiluminescence method, the most significant increase was observed on the day after gastric ESD [5]. As with gastric ESD, early stimulation by oral commensal bacteria increases REE in esophageal ESD. Therefore, the total resection area is presumed to be a factor affecting the physical invasiveness of post-esophageal ESD ulcers. Furthermore, post-ESD ulcers with lesions over 6.9 cm2 were often approximately half of the circumference of the lumen and had markedly increased REE. Patients with a resection area surpassing half of the lumen require careful postoperative management.
Previous studies have reported that age, BMI, resection area, operation time, and nutritional status are important factors for predicting prognosis in surgical operations for malignant tumors, including esophageal cancer [40,42,43]. Several studies on age have shown that ESD can be performed safely in older patients [4,44]. Conversely, older patients who underwent gastric ESD with perforations had a longer hospitalization than comparably younger patients [45]. In Japanese patients aged > 80 years, the occurrence of delayed bleeding after gastric ESD was reported to be high [46]. With regard to BMI, the risk of pneumonia increased in the overweight group after gastric ESD [47]; additionally, during perioperative colorectal ESD, a higher BMI (≥ 25 kg/m2) tended to increase the risk of hypoxemia [48]. Previous studies reported that a long operation time was a risk factor for the perforation of gastric ESD [49]. On the other hand, our previous study indicated that operation time was not found to affect energy metabolism during the perioperative period of gastric and colorectal ESD [13,14]. In studies that measured sarcopenia, subjects who underwent gastric ESD were at high risk of complications such as pneumonia, hyponatremia, and sepsis [50]. In patients older than 80 years, a high PMI has been shown to be a good prognostic factor associated with long-term survival after gastric ESD [51]. However, a previous report showed that BMI and sarcopenia were not independent prognostic factors for postoperative outcomes after esophagectomy [30]. In the present study, age, BMI, operation time, and sarcopenia did not increase REE. Therefore, esophageal ESD can be performed irrespective of age, BMI, operation time, and sarcopenia.
This study had several limitations. First, it was conducted in a single medical institute. However, we performed esophageal ESD according to standard procedures, sedation, and perioperative management according to the instructions of the JGE Society. Therefore, we obtained similar results to those of other multicenter studies. Second, this was a single-arm study. No control group was established for the evaluation of ESD-associated physical invasiveness, as it would be difficult to set similar conditions for a group of healthy volunteers. Third, measurements were only obtained from our subjects on the day of and the day after esophageal ESD, although previously reported patients with esophagectomy had REE measured on POD3 or POD7. Indeed, most patients who underwent esophageal ESD ingested food again starting on POD2 and were discharged on POD6. However, energy metabolism was considered to return to the same level as that in the preoperative period at the time of discharge.

5. Conclusions

Energy metabolism increased on POD1 esophageal ESD and the degree of invasiveness was low compared with that of open surgery. However, esophageal ESD was more invasive than gastric and colorectal ESD. Therefore, our results indicate that the perioperative management of esophageal ESD should be carefully conducted. In addition, careful attention is required when the resection area of the lesions is large, especially when it comprises more than half of the lumen.

Author Contributions

Conceptualization, S.K., D.C. and T.S.; methodology, D.C.; validation, D.C.; investigation, K.Y., K.A., T.A., K.M., S.H. and M.K.; data curation, D.C., K.Y., K.A., T.A., K.M., S.H. and M.K.; writing—original draft preparation, S.K. and D.C.; writing—review and editing, M.Y., T.T. (Toshiaki Tsukamoto), Y.S., K.H., T.T. (Tetsuya Tatsuta), H.K., H.H., H.S. and T.M.; supervision, S.F.; funding acquisition, D.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Karoji Memorial Fund for Medical Research (grant number: 2021A). And The APC was funded by the Karoji Memorial Fund for Medical Research.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Hirosaki University Ethics Committee (approval No. 2013-012, 15 May 2013). Prior to admission or the day before the ESD procedure, the details of the investigation procedure and the research objective were explained to the participants, and written informed consent was obtained from all participants who were willing to collaborate.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy and ethical restrictions.

Conflicts of Interest

All authors declare no conflict of interest.

References

  1. Al-Kaabi, A.; Schoon, E.J.; Deprez, P.H.; Seewald, S.; Groth, S.; Giovannini, M.; Braden, B.; Berr, F.; Lemmers, A.; Hoare, J.; et al. Salvage Endoscopic Resection after Definitive Chemoradiotherapy for Esophageal Cancer: A Western Experience. Gastrointest. Endosc. 2021, 93, 888–898.e1. [Google Scholar] [CrossRef] [PubMed]
  2. Ikeda, A.; Hoshi, N.; Yoshizaki, T.; Fujishima, Y.; Ishida, T.; Morita, Y.; Ejima, Y.; Toyonaga, T.; Kakechi, Y.; Yokosaki, H.; et al. Endoscopic Submucosal Dissection (ESD) with Additional Therapy for Superficial Esophageal Cancer with Submucosal Invasion. Intern. Med. 2015, 54, 2803–2813. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Nishimura, Y.; Koike, R.; Ogawa, K.; Sasamoto, R.; Murakami, Y.; Itoh, Y.; Negoro, Y.; Itasaka, S.; Sakayauchi, T.; Tamamoto, T.; et al. Clinical Practice and Outcome of Radiotherapy for Esophageal Cancer between 1999 and 2003: The Japanese Radiation Oncology Study Group (JROSG) Survey. Int. J. Clin. Oncol. 2012, 17, 48–54. [Google Scholar] [CrossRef] [PubMed]
  4. Chinda, D.; Sasaki, Y.; Tatsuta, T.; Tsushima, K.; Wada, T.; Shimoyama, T.; Fukuda, S. Perioperative Complications of Endoscopic Submucosal Dissection for Early Gastric Cancer in Elderly Japanese Patients 75 Years of Age or Older. Intern. Med. 2015, 54, 267–272. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Arai, T.; Chinda, D.; Shimoyama, T.; Sawada, K.; Akitaya, K.; Miyazawa, K.; Akimoto, N.; Sato, S.; Hayamizu, S.; Tatsuta, T.; et al. Influence of Gastric Endoscopic Submucosal Dissection on Serum Opsonic Activity Measured by Chemiluminescence. J. Clin. Biochem. Nutr. 2019, 64, 180–185. [Google Scholar] [CrossRef] [PubMed]
  6. Oda, I.; Gotoda, T.; Hamanaka, H.; Eguchi, T.; Saito, Y.; Matsuda, T.; Bhandari, P.; Emura, F.; Saito, D.; Ono, H. Endoscopic Submucosal Dissection for Early Gastric Cancer: Technical Feasibility, Operation Time and Complications from a Large Consecutive Series. Dig. Endosc. 2005, 17, 54–58. [Google Scholar] [CrossRef]
  7. Ishihara, R.; Arima, M.; Iizuka, T.; Oyama, T.; Katada, C.; Kato, M.; Goda, K.; Goto, O.; Tanaka, K.; Yano, T.; et al. Endoscopic Submucosal Dissection/Endoscopic Mucosal Resection Guidelines for Esophageal Cancer. Dig. Endosc. 2020, 32, 452–493. [Google Scholar] [CrossRef] [Green Version]
  8. Nishizawa, T.; Suzuki, H. Long-Term Outcomes of Endoscopic Submucosal Dissection for Superficial Esophageal Squamous Cell Carcinoma. Cancers 2020, 12, 2849. [Google Scholar] [CrossRef]
  9. Fredrix, E.W.; Soeters, P.B.; von Meyenfeldt, M.F.; Saris, W.H. Resting Energy Expenditure in Cancer Patients before and after Gastrointestinal Surgery. J. Parenter. Enteral Nutr. 1991, 15, 604–607. [Google Scholar] [CrossRef]
  10. Lobo, D.N.; Gianotti, L.; Adiamah, A.; Barazzoni, R.; Deutz, N.E.; Dhatariya, K.; Greenhaff, P.L.; Hiesmayr, M.; Hjort Jakobsen, D.; Klek, S.; et al. Perioperative Nutrition: Recommendations from the ESPEN Expert Group. Clin. Nutr. 2020, 39, 3211–3227. [Google Scholar] [CrossRef]
  11. Powell-Tuck, J. Nutritional Interventions in Critical Illness. Proc. Nutr. 2007, 66, 16–24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Okamoto, H.; Sasaki, M.; Johtatsu, T.; Kurihara, M.; Iwakawa, H.; Akabane, M.; Hoshino, N.; Yamamoto, H.; Murata, S.; Yamaguchi, T.; et al. Resting Energy Expenditure and Nutritional Status in Patients Undergoing Transthoracic Esophagectomy for Esophageal Cancer. J. Clin. Biochem. Nutr. 2011, 49, 169–173. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Chinda, D.; Shimoyama, T.; Miyazawa, K.; Arai, T.; Hayamizu, S.; Yanagimachi, M.; Tsukamoto, T.; Akitaya, K.; Tatsuta, T.; Kawaguchi, S.; et al. Estimation of Perioperative Invasiveness of Colorectal Endoscopic Submucosal Dissection Evaluated by Energy Metabolism. J. Clin. Biochem. Nutr. 2018, 63, 164–167. [Google Scholar] [CrossRef] [PubMed]
  14. Chinda, D.; Shimoyama, T.; Hayamizu, S.; Miyazawa, K.; Arai, T.; Yanagimachi, M.; Tsukamoto, T.; Mikami, T.; Fukuda, S. Energy Metabolism during the Perioperative Period of Gastric Endoscopic Submucosal Dissection. J. Clin. Biochem. Nutr. 2017, 61, 153–157. [Google Scholar] [CrossRef] [Green Version]
  15. Harlow, C.; Sivananthan, A.; Ayaru, L.; Patel, K.; Darzi, A.; Patel, N. Endoscopic Submucosal Dissection: An Update on Tools and Accessories. Ther. Adv. Gastrointest. Endosc. 2020, 13, 1–13. [Google Scholar] [CrossRef]
  16. Aadam, A.A.; Abe, S. Endoscopic Submucosal Dissection for Superficial Esophageal Cancer. Dis. Esophagus 2018, 31, 1–9. [Google Scholar] [CrossRef]
  17. Itaba, S.; Iboshi, Y.; Nakamura, K.; Ogino, H.; Sumida, Y.; Aso, A.; Yoshinaga, S.; Akiho, H.; Igarashi, H.; Kato, M.; et al. Low-Frequency of Bacteremia after Endoscopic Submucosal Dissection of the Stomach. Dig. Endosc. 2011, 23, 69–72. [Google Scholar] [CrossRef]
  18. Min, B.H.; Chang, D.K.; Kim, D.U.; Kim, Y.H.; Rhee, P.L.; Kim, J.J.; Rhee, J.C. Low Frequency of Bacteremia after an Endoscopic Resection for Large Colorectal Tumors in Spite of Extensive Submucosal Exposure. Gastrointest. Endosc. 2008, 68, 105–110. [Google Scholar] [CrossRef]
  19. Botoman, V.A.; Surawicz, C.M. Bacteremia with Gastrointestinal Endoscopic Procedures. Gastrointest. Endosc. 1986, 32, 342–346. [Google Scholar] [CrossRef]
  20. Hirota, W.K.; Petersen, K.; Baron, T.H.; Goldstein, J.L.; Jacobson, B.C.; Leighton, J.A.; Mallery, J.S.; Waring, J.P.; Fanelli, R.D.; Wheeler-Harbough, J.; et al. Guidelines for Antibiotic Prophylaxis for GI Endoscopy. Gastrointest. Endosc. 2003, 58, 475–482. [Google Scholar] [CrossRef] [Green Version]
  21. Ono, S.; Fujishiro, M.; Niimi, K.; Goto, O.; Kodashima, S.; Yamamichi, N.; Omata, M. Predictors of Postoperative Stricture after Esophageal Endoscopic Submucosal Dissection for Superficial Squamous Cell Neoplasms. Endoscopy 2009, 41, 661–665. [Google Scholar] [CrossRef] [PubMed]
  22. Tamura, T.; Ichinoseki, N.; Yoshimura, T.; Torii, Y. Development and Evaluation of a Simple Calorimeter for the Measurement of Resting Metabolism. Clin. Exp. Pharmacol. Physiol. 2002, 29, 2–6. [Google Scholar] [CrossRef] [PubMed]
  23. Wells, J.C.; Fuller, N.J. Precision and Accuracy in a Metabolic Monitor for Indirect Calorimetry. Eur. J. Clin. Nutr. 1998, 52, 536–540. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Harris, J.A.; Benedict, F.G. A Biometric Study of Human Basal Metabolism. Proc. Natl. Acad. Sci. USA 1918, 4, 370. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Long, C.L.; Schaffel, N.; Geiger, J.W.; Schiller, W.R.; Blakemore, W.S. Metabolic Response to Injury and Illness: Estimation of Energy and Protein Needs from Indirect Calorimetry and Nitrogen Balance. J. Parenter. Enteral Nutr. 1979, 3, 452–456. [Google Scholar] [CrossRef]
  26. Sasaki, M.; Okamoto, H.; Johtatsu, T.; Kurihara, M.; Iwakawa, H.; Tanaka, T.; Shiomi, H.; Naka, S.; Kurumi, Y.; Tani, T. Resting Energy Expenditure in Patients Undergoing Pylorus Preserving Pancreatoduodenectomies for Bile Duct Cancer or Pancreatic Tumors. J. Clin. Biochem. Nutr. 2011, 48, 183–186. [Google Scholar] [CrossRef] [Green Version]
  27. Barot, L.R.; Rombeau, J.L.; Feurer, I.D.; Mullen, J.L. Caloric Requirements in Patients with Inflammatory Bowel Disease. Ann. Surg. 1982, 195, 214–218. [Google Scholar] [CrossRef]
  28. World Health Organization Ageing and Health. Available online: https://www.who.int/westernpacific/health-topics/ageing (accessed on 11 November 2021).
  29. Matsuura, B.; Nunoi, H.; Miyake, T.; Hiasa, Y.; Onji, M. Obesity and Gastrointestinal Liver Disorders in Japan. J. Gastroenterol. Hepatol. 2013, 28, 48–53. [Google Scholar] [CrossRef] [Green Version]
  30. Grün, J.; Elfinger, L.; Le, H.; Weiß, C.; Otto, M.; Reißfelder, C.; Blank, S. The Influence of Pretherapeutic and Preoperative Sarcopenia on Short-Term Outcome after Esophagectomy. Cancers 2020, 12, 3409. [Google Scholar] [CrossRef]
  31. Chen, L.K.; Liu, L.K.; Woo, J.; Assantachai, P.; Auyeung, T.W.; Bahyah, K.S.; Chou, M.Y.; Chen, L.Y.; Hsu, P.S.; Krairit, O.; et al. Sarcopenia in Asia: Consensus Report of the Asian Working Group for Sarcopenia. J. Am. Med. Dir. Assoc. 2014, 15, 95–101. [Google Scholar] [CrossRef]
  32. Portal, D.; Hofstetter, L.; Eshed, I.; Dan-Lantsman, C.; Sella, T.; Urban, D.; Onn, A.; Bar, J.; Segal, G. L3 Skeletal Muscle Index (L3SMI) Is a Surrogate Marker of Sarcopenia and Frailty in Non-Small Cell Lung Cancer Patients. Cancer Manag. Res. 2019, 11, 2579–2588. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Ito, K.; Ookawara, S.; Imai, S.; Kakuda, H.; Bandai, Y.; Fueki, M.; Yasuda, M.; Kamimura, T.; Kiryu, S.; Wada, N.; et al. Muscle Mass Evaluation Using Psoas Muscle Mass Index by Computed Tomography Imaging in Hemodialysis Patients. Clin. Nutr. 2021, 44, 410–414. [Google Scholar] [CrossRef] [PubMed]
  34. Hamaguchi, Y.; Kaido, T.; Okumura, S.; Kobayashi, A.; Hammad, A.; Tamai, Y.; Inagaki, N.; Uemoto, S. Proposal for New Diagnostic Criteria for Low Skeletal Muscle Mass Based on Computed Tomography Imaging in Asian Adults. Nutrition 2016, 32, 1200–1205. [Google Scholar] [CrossRef] [PubMed]
  35. Nakazawa, N.; Sohda, M.; Ogata, K.; Sano, A.; Sakai, M.; Ogawa, H.; Kobayashi, K.; Iwanami, K.; Maemura, M.; Shirabe, K.; et al. Impact of Neutrophil–Lymphocyte Ratio, Glasgow Prognostic Score, and Postoperative Decrease in Psoas Muscle Index on Recurrence after Curative Gastrectomy. J. Med. Investig. 2021, 68, 119–124. [Google Scholar] [CrossRef] [PubMed]
  36. Durand, F.; Buyse, S.; Francoz, C.; Laouénan, C.; Bruno, O.; Belghiti, J.; Moreau, R.; Vilgrain, V.; Valla, D. Prognostic Value of Muscle Atrophy in Cirrhosis Using Psoas Muscle Thickness on Computed Tomography. J. Hepatol. 2014, 60, 1151–1157. [Google Scholar] [CrossRef]
  37. Sato, N.; Oyamatsu, M.; Tsukada, K.; Suzuki, T.; Hatakeyama, K.; Muto, T. Serial Changes in Contribution of Substrates to Energy Expenditure after Transthoracic Esophagectomy for Cancer. Nutrition 1997, 13, 100–103. [Google Scholar] [CrossRef]
  38. Inoue, Y. Estimation of Energy Need-Should Stress Factor and Activity Factor Be Considered? JPEEN J. Parrenter. Eteral. Nutr. 2010, 25, 573–579, (In Japanese with English Abstract). [Google Scholar] [CrossRef]
  39. Kato, M.; Suzuki, H.; Murakami, M.; Akama, M.; Matsukawa, S.; Hashimoto, Y. Elevated Plasma Levels of Interleukin-6, Interleukin-8, and Granulocyte Colony-Stimulating Factor during and after Major Abdominal Surgery. J. Clin. Anesth. 1997, 9, 293–298. [Google Scholar] [CrossRef]
  40. Chinda, D.; Shimoyama, T.; Arai, T.; Sawada, K.; Akitaya, K.; Kudo, S.; Yasuda, K.; Miyazawa, K.; Akimoto, N.; Sato, S.; et al. Usefulness of Serum Opsonic Activity Measured by Chemiluminescence Method to Assess the Invasiveness of Colorectal Endoscopic Mucosal Dissection. Free Radiic. Res. 2020, 54, 810–817. [Google Scholar] [CrossRef]
  41. Nakamura, F.; Saito, Y.; Sakamoto, T.; Otake, Y.; Nakajima, T.; Yamamoto, S.; Murakami, Y.; Ishikawa, H.; Matsuda, T.; Nakamura, F.; et al. Potential Perioperative Advantage of Colorectal Endoscopic Submucosal Dissection versus Laparoscopy-Assisted Colectomy and Other Interventional Techniques. Surg. Endosc. 2015, 29, 596–606. [Google Scholar] [CrossRef] [Green Version]
  42. Menezes, T.M.; Dias, M.O.; dos Reis, R.; Elias, J.; Lucchesi, F.R.; Araujo, R.L.C. Prognostic Value of Muscle Depletion Assessed by Computed Tomography for Surgical Outcomes of Cancer Patients Undergoing Total Esophagectomy and Gastrectomy. J. Surg. Oncol. 2020, 121, 814–822. [Google Scholar] [CrossRef] [PubMed]
  43. Wright, C.D.; Kucharczuk, J.C.; O’Brien, S.M.; Grab, J.D.; Allen, M.S. Predictors of Major Morbidity and Mortality after Esophagectomy for Esophageal Cancer: A Society of Thoracic Surgeons General Thoracic Surgery Database Risk Adjustment Model. J. Thorac. Cardiovasc. Surg. 2009, 137, 587–596. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Kim, G.H.; Choi, K.D.; Ko, Y.; Park, T.; Kim, K.W.; Park, S.Y.; Na, H.K.; Ahn, J.Y.; Lee, J.H.; Jung, K.W.; et al. Impact of Comorbidities, Sarcopenia, and Nutritional Status on the Long-Term Outcomes after Endoscopic Submucosal Dissection for Early Gastric Cancer in Elderly Patients Aged ≥ 80 Years. Cancers 2021, 13, 3598. [Google Scholar] [CrossRef]
  45. Tokioka, S.; Umegaki, E.; Murano, M.; Takeuchi, N.; Takeuchi, T.; Kawakami, K.; Yoda, Y.; Kojima, Y.; Higuchi, K. Utility and Problems of Endoscopic Submucosal Dissection for Early Gastric Cancer in Elderly Patients. J. Gastroenterol. Hepatol. 2012, 27, 63–69. [Google Scholar] [CrossRef] [PubMed]
  46. Sugimoto, M.; Hatta, W.; Tsuji, Y.; Yoshio, T.; Yabuuchi, Y.; Hoteya, S.; Doyama, H.; Nagami, Y.; Hikichi, T.; Kobayashi, M.; et al. Risk Factors for Bleeding after Endoscopic Submucosal Dissection for Gastric Cancer in Elderly Patients Older than 80 Years in Japan. Clin. Transl. Gastroenterol. 2021, 12, e00404. [Google Scholar] [CrossRef] [PubMed]
  47. Kim, N.Y.; Lee, H.S.; Lee, K.Y.; Jeon, S.; Choi, S.Y.; Joo, H.J.; Kim, J.E.; Kim, S.Y. Impact of BMI on Complications of Gastric Endoscopic Submucosal Dissection. Dig. Dis. 2021, 39, 301–309. [Google Scholar] [CrossRef]
  48. Tachikawa, J.; Chiba, H.; Okada, N.; Arimoto, J.; Ashikari, K.; Kuwabara, H.; Nakaoka, M.; Higurashi, T.; Goto, T.; Nakajima, A. Impact of Obesity in Colorectal Endoscopic Submucosal Dissection: Single-Center Retrospective Cohort Study. BMC Gastroenterol. 2021, 21, 74. [Google Scholar] [CrossRef]
  49. Mannen, K.; Tsunada, S.; Hara, M.; Yamaguch, K.; Sakata, Y.; Fujise, T.; Noda, T.; Shimoda, R.; Sakata, H.; Ogata, S.; et al. Risk Factors for Complications of Endoscopic Submucosal Dissection in Gastric Tumors: Analysis of 478 Lesions. J. Gastroenterol. 2010, 45, 30–36. [Google Scholar] [CrossRef]
  50. Hisada, H.; Tamura, N.; Tsuji, Y.; Nagao, S.; Fukagawa, K.; Miura, Y.; Mizutani, H.; Ohki, D.; Yakabi, S.; Minatsuki, C.; et al. The Impact of Sarcopenia on Adverse Events Associated with Gastric Endoscopic Submucosal Dissection. Surg. Endosc. 2022. [Google Scholar] [CrossRef]
  51. Ito, N.; Funasaka, K.; Miyahara, R.; Furukawa, K.; Yamamura, T.; Ishikawa, T.; Ohno, E.; Nakamura, M.; Kawashima, H.; Hirooka, Y.; et al. Relationship between Psoas Muscle Index and Long-Term Survival in Older Patients Aged ≥ 80 Years after Endoscopic Submucosal Dissection for Gastric Cancer. Int. J. Clin. Oncol. 2022, 27, 729–738. [Google Scholar] [CrossRef]
Figure 1. Flow chart of study patient selection.
Figure 1. Flow chart of study patient selection.
Cancers 14 02015 g001
Figure 2. The changes of REE/body weight (a) and REE/BEE (b). Data are expressed as median (range). * p < 0.05: compared with the value on the day of ESD. ESD: endoscopic submucosal dissection; REE: resting energy expenditure; BEE: basal energy expenditure.
Figure 2. The changes of REE/body weight (a) and REE/BEE (b). Data are expressed as median (range). * p < 0.05: compared with the value on the day of ESD. ESD: endoscopic submucosal dissection; REE: resting energy expenditure; BEE: basal energy expenditure.
Cancers 14 02015 g002
Figure 3. Correlations between the change ratios of REE and laboratory findings. (a) White blood cells. (b) Neutrophils. (c) C-reactive protein. REE: resting energy expenditure.
Figure 3. Correlations between the change ratios of REE and laboratory findings. (a) White blood cells. (b) Neutrophils. (c) C-reactive protein. REE: resting energy expenditure.
Cancers 14 02015 g003
Table 1. Patient baseline characteristics.
Table 1. Patient baseline characteristics.
Variablesn/Median (Range)
Sex (Male:Female)67:8
Age (years old)66 (45–90)
BMI (kg/m2)22.1 (16.2–30.4)
PMI (cm2/m2)6.4 (3.2–12.4)
Main tumor location
 Upper thoracic esophagus6
 Middle thoracic esophagus5
 Lower thoracic esophagus48
 Gastroesophageal junction16
Total resection area (cm2)6.9 (0.5–106.0)
Operation time (minutes)75 (17–265)
Histologic type
 Squamous cell carcinoma72
 Adenocarcinoma2
 Angioma1
Complications
 Bleeding1 (1.3%)
 Perforation0 (0%)
 Fever (>38 °C)4 (5.3%)
Data are presented as number (percentage) or median (range). BMI: body mass index; PMI: psoas muscle mass index.
Table 2. Changes in REE, body weight, and BEE.
Table 2. Changes in REE, body weight, and BEE.
MeasurementsDay of ESDDay Following ESD
REE (kcal)1194.7 (608.1–1583.7)1340.0 * (847.6–2111.3)
Body weight (kg)59.4 (40.6–86.1)58.1 * (38.9–86.5)
BEE (kcal)1235.0 (941.0–1677.0)1247.1 (983.7–1562.8)
Data are presented as median (range). * p < 0.05, vs day of ESD. REE: resting energy expenditure; BEE: basal energy expenditure; ESD: endoscopic submucosal dissection.
Table 3. Changes in white blood cells (neutrophils, monocytes, eosinophils, basophils, and lymphocytes), and C-reactive protein.
Table 3. Changes in white blood cells (neutrophils, monocytes, eosinophils, basophils, and lymphocytes), and C-reactive protein.
Day of ESDDay Following ESD
White blood cells (/µL)5660 (2760–10220)9520 * (3730–21190)
Neutrophils (/µL)3190 (1310–5640)7170 * (3010–16690)
Monocytes (/µL)342 (128–821)551 * (201–1413)
Eosinophils (/µL)144 (0–649)86 * (0–529)
Basophils (/µL)31 (0–217)19 * (0–81)
Lymphocytes (/µL)1740 (679–4560)1430 * (470–9270)
C-reactive protein (mg/dL)0.05 (0.02–2.89)0.76 * (0.04–7.73)
Data are presented as median (range). * p < 0.001, vs day of ESD. ESD: endoscopic submucosal dissection.
Table 4. Univariate analysis for the factors associated with REE during the perioperative period of ESD.
Table 4. Univariate analysis for the factors associated with REE during the perioperative period of ESD.
VariablesnREE during the Perioperative PeriodChanges in the Ratio of REE
Day of ESDDay Following ESD
Age (years old)
<65331250.0
(686.8–1535.0)
1391.0
(1009.1–2111.3)
1.08
≥65421117.0
(608.1–1583.7)
1289.2
(847.6–1671.3)
1.10
BMI (kg/m2)
<25601125.3
(608.1–1532.7)
1293.3
(847.6–2111.3)
1.09
≥25151346.0
(1188.3–1583.7)
1498.0
(859.7–1714.3)
1.08
Total resection area (cm2)
<6.9371188.3
(608.1–1560.7)
1291.3
(847.6–1671.3)
1.07
≥6.9381239.5
(686.8–1583.7)
1397.7
(962.0–2111.3)
1.13 *
Operation time (minutes)
<75361159.5
(826.0–1583.7)
1286.0
(921.9–2111.3)
1.08
≥75391241.7
(608.1–1537.0)
1397.7
(847.6–1714.3)
1.09
Sarcopenia
Non-sarcopenia521231.3
(686.8–1583.7)
1344.7
(859.7–2111.3)
1.08
Sarcopenia231111.7
(608.1–1560.7)
1335.7
(847.6–1714.3)
1.12
Data are presented as median (range). * p < 0.05, vs. total resection area < 6.9 cm2. REE: resting energy expenditure; ESD: endoscopic submucosal dissection; BMI: body mass index.
Table 5. Parameter estimates of main effects for changes in REE using generalized linear models.
Table 5. Parameter estimates of main effects for changes in REE using generalized linear models.
VariablesEstimatesSEOdds Ratiop-Value
Age0.61930.49851.85770.214
BMI−0.19440.60020.82330.746
Total resection area0.78550.50032.19350.116
Operation time0.05760.50121.05930.908
Sarcopenia0.06900.52521.07140.895
REE: resting energy expenditure; SE: standard error; BMI: body mass index.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kudo, S.; Chinda, D.; Shimoyama, T.; Yasuda, K.; Akitaya, K.; Arai, T.; Miyazawa, K.; Hayamizu, S.; Yanagimachi, M.; Tsukamoto, T.; et al. Influence of Esophageal Endoscopic Submucosal Dissection on the Changes of Energy Metabolism during the Perioperative Period. Cancers 2022, 14, 2015. https://doi.org/10.3390/cancers14082015

AMA Style

Kudo S, Chinda D, Shimoyama T, Yasuda K, Akitaya K, Arai T, Miyazawa K, Hayamizu S, Yanagimachi M, Tsukamoto T, et al. Influence of Esophageal Endoscopic Submucosal Dissection on the Changes of Energy Metabolism during the Perioperative Period. Cancers. 2022; 14(8):2015. https://doi.org/10.3390/cancers14082015

Chicago/Turabian Style

Kudo, Sae, Daisuke Chinda, Tadashi Shimoyama, Kohei Yasuda, Kazuki Akitaya, Tetsu Arai, Kuniaki Miyazawa, Shiro Hayamizu, Miyuki Yanagimachi, Toshiaki Tsukamoto, and et al. 2022. "Influence of Esophageal Endoscopic Submucosal Dissection on the Changes of Energy Metabolism during the Perioperative Period" Cancers 14, no. 8: 2015. https://doi.org/10.3390/cancers14082015

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop