Sleep as a driver of pre- and postnatal brain development.

In 1966, Howard Roffwarg proposed the ontogenic sleep hypothesis, relating neural plasticity and development to rapid eye movement (REM) sleep, a hypothesis that current fetal and neonatal sleep research is still exploring. Recently, technological advances have enabled researchers to automatically quantify neonatal sleep architecture, which has caused a resurgence of research in this field as attempts are made to further elucidate the important role of sleep in pre- and postnatal brain development. This article will review our current understanding of the role of sleep as a driver of brain development and identify possible areas for future research. IMPACT: The evidence to date suggests that Roffwarg's ontogenesis hypothesis of sleep and brain development is correct. A better understanding of the relationship between sleep and the development of functional connectivity is needed. Reliable, non-invasive tools to assess sleep in the NICU and at home need to be tested in a real-world environment and the best way to promote healthy sleep needs to be understood before clinical trials promoting and optimizing sleep quality in neonates could be undertaken.

Discontinuation of neoadjuvant therapy does not influence postoperative short-term outcomes in elderly patients (≥ 70 years) with resectable gastric cancer: a population-based study from the dutch upper gastrointestinal cancer audit (DUCA) data.

BACKGROUND: For the elderly patients with gastric cancer, it may be more challenging to tolerate complete neoadjuvant therapy (NAT). The impact of discontinued NAT on the surgical safety and pathological outcomes of elderly patients with poor tolerance remains poorly understood. METHODS: Gastric cancer patients received gastrectomy with curative intent from the Dutch upper GI cancer audit (DUCA) database were included in this study. The independent association of age with not initiating and discontinuation of NAT was assessed with restricted cubic splines (RCS). According to the RCS results, age ≥ 70 years was defined as elderly. Short-term postoperative outcomes and pathological results were compared between elderly patients who completed and discontinued NAT. RESULTS: Between 2011- 2021, total of 3049 patients were included. The risk of not initiating NAT increased from 70 years. In 1954 (64%) patients receiving NAT, the risk of discontinuation increased from 55 years, reaching the peak around 74 years. In the elderly, discontinued NAT was not independently associated with worse 30-day mortality, overall complications, anastomotic leakage, re-intervention, and pathologic complete response, but was associated with a higher risk of R1/2 resection (p-value = 0.001), higher ypT stage (p-value = 0.004), ypN + (p-value = 0.008), and non-response ( p-value = 0.012). CONCLUSION: A decreased utilization of NAT has been observed in Dutch gastric cancer patients from 70 years due to old age considerations, possibly because of their high risk of discontinuation. Increasing the utilization of NAT may not adversely impact the surgical safety of gastric cancer population ≥ 70 years and may contribute to better pathological results.

Machine Learning-Derived Active Sleep as an Early Predictor of White Matter Development in Preterm Infants.

White matter dysmaturation is commonly seen in preterm infants admitted to the neonatal intensive care unit (NICU). Animal research has shown that active sleep is essential for early brain plasticity. This study aimed to determine the potential of active sleep as an early predictor for subsequent white matter development in preterm infants. Using heart and respiratory rates routinely monitored in the NICU, we developed a machine learning-based automated sleep stage classifier in a cohort of 25 preterm infants (12 females). The automated classifier was subsequently applied to a study cohort of 58 preterm infants (31 females) to extract active sleep percentage over 5-7 consecutive days during 29-32 weeks of postmenstrual age. Each of the 58 infants underwent high-quality T2-weighted magnetic resonance brain imaging at term-equivalent age, which was used to measure the total white matter volume. The association between active sleep percentage and white matter volume was examined using a multiple linear regression model adjusted for potential confounders. Using the automated classifier with a superior sleep classification performance [mean area under the receiver operating characteristic curve (AUROC) = 0.87, 95% CI 0.83-0.92], we found that a higher active sleep percentage during the preterm period was significantly associated with an increased white matter volume at term-equivalent age [ß = 0.31, 95% CI 0.09-0.53, false discovery rate (FDR)-adjusted p-value = 0.021]. Our results extend the positive association between active sleep and early brain development found in animal research to human preterm infants and emphasize the potential benefit of sleep preservation in the NICU setting.

Characterizing light-dark cycles in the Neonatal Intensive Care Unit: a retrospective observational study.

Objectives: To characterize bedside 24-h patterns in light exposure in the Neonatal Intensive Care Unit (NICU) and to explore the environmental and individual patient characteristics that influence these patterns in this clinical setting. Methods: We conducted a retrospective cohort study that included 79 very preterm infants who stayed in an incubator with a built-in light sensor. Bedside light exposure was measured continuously (one value per minute). Based on these data, various metrics (including relative amplitude, intradaily variability, and interdaily stability) were calculated to characterize the 24-h patterns of light exposure. Next, we determined the association between these metrics and various environmental and individual patient characteristics. Results: A 24-h light-dark cycle was apparent in the NICU with significant differences in light exposure between the three nurse shifts (p < 0.001), with the highest values in the morning and the lowest values at night. Light exposure was generally low, with illuminances rarely surpassing 75 lux, and highly variable between patients and across days within a single patient. Furthermore, the season of birth and phototherapy had a significant effect on 24-h light-dark cycles, whereas no effect of bed location and illness severity were observed. Conclusion: Even without an official lighting regime set, a 24-h light-dark cycle was observed in the NICU. Various rhythmicity metrics can be used to characterize 24-h light-dark cycles in a clinical setting and to study the relationship between light patterns and health outcomes.

Evaluation of Sleep Practices and Knowledge in Neonatal Healthcare.

BACKGROUND: Developmental care is designed to optimize early brain maturation by integrating procedures that support a healing environment. Protecting preterm sleep is important in developmental care. However, it is unclear to what extent healthcare professionals are aware of the importance of sleep and how sleep is currently implemented in the day-to-day care in the neonatal intensive care unit (NICU). PURPOSE: Identifying the current state of knowledge among healthcare professionals regarding neonatal sleep and how this is transferred to practice. METHODS: A survey was distributed among Dutch healthcare professionals. Three categories of data were sought, including (1) demographics of respondents; (2) questions relating to sleep practices; and (3) objective knowledge questions relating to sleep physiology and importance of sleep. Data were analyzed using Spearman's rho test and Cramer's V test. Furthermore, frequency tables and qualitative analyses were employed. RESULTS: The survey was completed by 427 participants from 34 hospitals in 25 Dutch cities. While healthcare professionals reported sleep to be especially important for neonates admitted in the NICU, low scores were achieved in the area of knowledge of sleep physiology. Most healthcare professionals (91.8%) adapted the timing of elective care procedures to sleep. However, sleep assessments were not based on scientific knowledge. Therefore, the difference between active sleep and wakefulness may often be wrongly assessed. Finally, sleep is rarely discussed between colleagues (27.4% regularly/always) and during rounds (7.5%-14.3% often/always). IMPLICATIONS: Knowledge about sleep physiology should be increased through education among neonatal healthcare professionals. Furthermore, sleep should be considered more often during rounds and handovers.

Laparoscopic ischemic conditioning prior esophagectomy in selected patients: the ISCON trial.

Anastomotic leakage (AL) after esophagectomy is the most impactful complication after esophagectomy. Ischemic conditioning (ISCON) of the stomach >14 days prior to esophagectomy might reduce the incidence of AL. The current trial was conducted to prospectively investigate the safety and feasibility of laparoscopic ISCON in selected patients. This international multicenter feasibility trial included patients with esophageal cancer at high risk for AL with major calcifications of the thoracic aorta or a stenosis in the celiac trunk. Patients underwent laparoscopic ISCON by occlusion of the left gastric and the short gastric arteries followed by esophagectomy after an interval of 12-18 days. The primary endpoint was complications Clavien-Dindo ≥ grade 2 after ISCON and before esophagectomy. Between November 2019 and January 2022, 20 patients underwent laparoscopic ISCON followed by esophagectomy. Out of 20, 16 patients (80%) underwent neoadjuvant treatment. The median duration of the laparoscopic ISCON procedure was 45 minutes (range: 25-230). None of the patients developed intraoperative or postoperative complications after ISCON. Hospital stay after ISCON was median 2 days (range: 2-4 days). Esophagectomy was completed in all patients after a median of 14 days (range: 12-28). AL occurred in three patients (15%), and gastric tube necrosis occurred in one patient (5%). In hospital, the 30-day and 90-day mortalities were 0%. Laparoscopic ISCON of the gastric conduit is feasible and safe in selected esophageal cancer patients with an impaired vascular status. Further studies have to prove whether this innovative strategy aids to reduce the incidence of AL.

Hybrid laparoscopic versus fully robot-assisted minimally invasive esophagectomy: an international propensity-score matched analysis of perioperative outcome.

BACKGROUND: Currently, little is known regarding the optimal technique for the abdominal phase of RAMIE. The aim of this study was to investigate the outcome of robot-assisted minimally invasive esophagectomy (RAMIE) in both the abdominal and thoracic phase (full RAMIE) compared to laparoscopy during the abdominal phase (hybrid laparoscopic RAMIE). METHODS: This retrospective propensity-score matched analysis of the International Upper Gastrointestinal International Robotic Association (UGIRA) database included 807 RAMIE procedures with intrathoracic anastomosis between 2017 and 2021 from 23 centers. RESULTS: After propensity-score matching, 296 hybrid laparoscopic RAMIE patients were compared to 296 full RAMIE patients. Both groups were equal regarding intraoperative blood loss (median 200 ml versus 197 ml, p = 0.6967), operational time (mean 430.3 min versus 417.7 min, p = 0.1032), conversion rate during abdominal phase (2.4% versus 1.7%, p = 0.560), radical resection (R0) rate (95.6% versus 96.3%, p = 0.8526) and total lymph node yield (mean 30.4 versus 29.5, p = 0.3834). The hybrid laparoscopic RAMIE group showed higher rates of anastomotic leakage (28.0% versus 16.6%, p = 0.001) and Clavien Dindo grade 3a or higher (45.3% versus 26.0%, p < 0.001). The length of stay on intensive care unit (median 3 days versus 2 days, p = 0.0005) and in-hospital (median 15 days versus 12 days, p < 0.0001) were longer for the hybrid laparoscopic RAMIE group. CONCLUSIONS: Hybrid laparoscopic RAMIE and full RAMIE were oncologically equivalent with a potential decrease of postoperative complications and shorter (intensive care) stay after full RAMIE.

[Scientific and rigorous data registration of patients with gastric cancer is the cornerstone of high-quality surgical research on gastric cancer: lessons learned from the Dutch upper gastrointestinal cancer audit (DUCA)].

The postoperative 30-day mortality and morbidity of gastric cancer surgery has markedly improved over the past years due to minimally invasive techniques, perioperative rehabilitation programs and centralization of care. However, there is still need for improvement as postoperative complications may have a serious negative impact on the efficacy of surgical treatment of gastric cancer. High-quality clinical research is a very important tool to analyze treatment outcomes and evaluate new treatment strategies. The meticulous registration of gastric cancer patient data is the basis of high-quality surgical research. In the past 11 years, the Dutch upper gastrointestinal cancer audit (DUCA) database has vast experience in data registration and maintenance of patients with upper gastrointestinal cancer. The effective measures it has taken in data registration, data quality control, data application and use, and data security have maintained quality at a high level. These data has been used for medical care quality monitoring and scientific research leading to a positive impact on the postoperative short-term outcomes of patients with upper gastrointestinal cancer. The work of DUCA may be a good incentive for the setup of population-based databases and clinical research in other countries.

Management of anastomotic leakage after robot-assisted minimally invasive esophagectomy with an intrathoracic anastomosis.

Anastomotic leakage is a feared complication after esophagectomy and associated with increased post-operative morbidity and mrotality. The aim of this study was to evaluate the management of leakage after robot-assisted minimally invasive esophagectomy (RAMIE) with intrathoracic anastomosis. From a single center prospectively maintained database, all patients with anastomotic leakages defined by the Esophageal Complications Consensus Group between 2016 and 2021 were included. Contained leakage was defined as presence of air or fluid at level of the anastomosis without the involvement of the mediastinum or thorax. Non-contained leakage was defined as mediastinitis and/or mediastinal/pleural fluid collections. The primary outcome was 90-day mortality and the secondary outcome was successful recovery. In this study, 40 patients with anastomotic leakage were included. The 90-day mortality rate was 3% (n = 1). Leakage was considered contained in 29 patients (73%) and non-contained in 11 patients (27%). In the contained group, the majority of the patients were treated non-surgically (n = 27, 93%) and management was successful in 22 patients (76%). In the non-contained group, all patients required a reoperation with thoracic drainage and management was successful in seven patients (64%). Management failed in 11 patients (28%) of whom 7 developed an esophagobronchial fistula, 3 had a disconnection of the anastomosis and 1 died of a septic bleeding. In conclusion, this study demonstrates that the management anastomotic leakage in patients who underwent RAMIE with an intrathoracic anastomosis was successful in 73% of the patients with a 90-day mortality rate of 3%. A differentiated approach for the management of intrathoracic anastomotic leakage is proposed.

Feasibility of automated early postnatal sleep staging in extremely and very preterm neonates using dual-channel EEG.

OBJECTIVE: To investigate the feasibility of automated sleep staging based on quantitative analysis of dual-channel electroencephalography (EEG) for extremely and very preterm infants during their first postnatal days. METHODS: We enrolled 17 preterm neonates born between 25 and 30 weeks of gestational age. Three-hour behavioral sleep observations and simultaneous dual-channel EEG monitoring were conducted for each infant within their first 72 hours after birth. Four kinds of representative and complementary quantitative EEG (qEEG) metrics (i.e., bursting, synchrony, spectral power, and complexity) were calculated and compared between active sleep, quiet sleep, and wakefulness. All analyses were performed in offline mode. RESULTS: In separate comparison analyses, significant differences between sleep-wake states were found for bursting, spectral power and complexity features. The automated sleep-wake state classifier based on the combination of all qEEG features achieved a macro-averaged area under the curve of receiver operating characteristic of 74.8%. The complexity features contributed the most to sleep-wake state classification. CONCLUSIONS: It is feasible to distinguish between sleep-wake states within the first 72 postnatal hours for extremely and very preterm infants using qEEG metrics. SIGNIFICANCE: Our findings offer the possibility of starting personalized care dependent on preterm infants' sleep-wake states directly after birth, potentially yielding long-run benefits for their developmental outcomes.

The Sleep Well Baby project: an automated real-time sleep-wake state prediction algorithm in preterm infants.

STUDY OBJECTIVES: Sleep is an important driver of early brain development. However, sleep is often disturbed in preterm infants admitted to the neonatal intensive care unit (NICU). We aimed to develop an automated algorithm based on routinely measured vital parameters to classify sleep-wake states of preterm infants in real-time at the bedside. METHODS: In this study, sleep-wake state observations were obtained in 1-minute epochs using a behavioral scale developed in-house while vital signs were recorded simultaneously. Three types of vital parameter data, namely, heart rate, respiratory rate, and oxygen saturation, were collected at a low-frequency sampling rate of 0.4 Hz. A supervised machine learning workflow was used to train a classifier to predict sleep-wake states. Independent training (n = 37) and validation datasets were validation n = 9) datasets were used. Finally, a setup was designed for real-time implementation at the bedside. RESULTS: The macro-averaged area-under-the-receiver-operator-characteristic (AUROC) of the automated sleep staging algorithm ranged between 0.69 and 0.82 for the training data, and 0.61 and 0.78 for the validation data. The algorithm provided the most accurate prediction for wake states (AUROC = 0.80). These findings were well validated on an independent sample (AUROC = 0.77). CONCLUSIONS: With this study, to the best of our knowledge, a reliable, nonobtrusive, and real-time sleep staging algorithm was developed for the first time for preterm infants. Deploying this algorithm in the NICU environment may assist and adapt bedside clinical work based on infants' sleep-wake states, potentially promoting the early brain development and well-being of preterm infants.

A scoping review of behavioral sleep stage classification methods for preterm infants.

BACKGROUND: Sleep is paramount for optimal brain development in infants admitted to the neonatal intensive care unit. Besides (minimally) invasive technical approaches to study sleep in infants, there is currently a large variety of behavioral sleep stage classification methods (BSSCs) that can be used to identify sleep stages in preterm infants born <37 weeks gestational age. However, they operate different criteria to define sleep stages, which limits the comparability and reproducibility of research on preterm sleep. This scoping review aims to: 1) identify and elaborate on existing neonatal BSSCs used for preterm infants, 2) examine the reliability and validity of these BSSCs, and 3) identify which criteria are most used for different ages, ranging from 23 to 37 weeks postmenstrual age at observation. METHODS: To map the existing BSSCs, PubMed, EMBASE and Cochrane were searched for studies using a BSSC to identify sleep stages in preterm infants. RESULTS: In total, 36 BSSCs were identified with on average five item categories assessed per BSSC, most frequently: eyes, body movements, facial movements, sounds, and respiratory pattern. Furthermore, validity and reliability of the BSSCs were tested in less than half of the included studies. Finally, BSSCs were used in infants of all ages, regardless the age for which the BSSC was originally developed. CONCLUSIONS: Items used for scoring in the different BSSCs were relatively consistent. The age ranges, reliability, and validity of the BSSCs were not consistently reported in most studies. Either validation studies of existing BSSCs or new BSSCs are necessary to improve the comparability and reproducibility of previous and future preterm behavioral sleep studies.

Long-term Survival After Minimally Invasive Versus Open Esophagectomy for Esophageal Cancer: A Nationwide Propensity-score Matched Analysis.

OBJECTIVES: This study aimed to compare long-term survival following MIE versus OE for esophageal cancer using a nationwide propensity-score matched cohort. SUMMARY OF BACKGROUND DATA: MIE provides lower postoperative morbidity and mortality, and similar short-term oncological quality compared to OE. METHODS: Data was acquired from the Dutch Upper Gastrointestinal Cancer Audit. Patients undergoing minimally invasive or open, transthoracic or transhiatal esophagectomy for primary esophageal cancer between 2011 and 2015 were included. A propensity-score matching analysis for MIE versus OE was performed separately for transthoracic and transhiatal esoph-agectomies. RESULTS: A total of 1036 transthoracic MIE and OE patients, and 582 transhiatal MIE and OE patients were matched. Long-term survival was comparable for MIE and OE for both transthoracic and transhiatal procedures (5-year overall survival: transthoracic MIE 49.2% vs OE 51.1%, P 0.695; transhiatal MIE 48.4% vs OE 50.7%, P 0.832). For both procedures, MIE yielded more lymph nodes (transthoracic median 21 vs 18, P < 0.001; transhiatal 15 vs 13, P 0.007). Postoperative morbidity was comparable after transthoracic MIE and OE (60.8% vs 64.9%, P 0.177), with a reduced length of stay after transthoracic MIE (median 12 vs 15 days, P < 0.001). After transhiatal MIE, more postoperative complications (64.9% vs 56.4%, P 0.034) were observed, without subsequent difference in length of stay. CONCLUSION: Long-term survival after MIE was equivalent to open in both propensity-score matched cohorts of patients undergoing transthoracic or transhiatal esophageal resections. Transhiatal MIE was accompanied withmore postoperative morbidity. Both transthoracic and transhiatal MIE resulted in a more extended lymphadenectomy.

The value of cardiorespiratory parameters for sleep state classification in preterm infants: A systematic review.

Cardiorespiratory activity is highly associated with infants' sleep duration and quality. We performed a systematic literature search of PubMed and EMBASE databases to investigate if and how cardiorespiratory parameters can be used for sleep state classification in preterm infants and in what way maturation influences this relation. All retrieved citations were screened against predetermined inclusion and exclusion criteria. Only studies of preterm infants (<37 wk postmenstrual age during sleep state classification) admitted to a neonatal ward and of whom at least one sleep state and one cardiorespiratory parameter was measured, were included. Two researchers independently reviewed the included studies on methodological quality. Of the 1097 initially retrieved studies, 23 were included for analysis. Heart rate and respiration frequency are strongly correlated with active sleep and quiet sleep. In quiet sleep, as compared to active sleep, respiratory frequency is more stable, and the heart rate is lower and less variable. This association, however, differed across preterm birth subtypes (i.e., extremely, very or late preterm), indicating that maturation - in the form of both gestational and postnatal age - influences the cardiorespiratory characteristics of preterm sleep states. The knowledge gained from this review can help improve behavioral sleep classification and automated sleep classification algorithms for preterm infants.

State of the art in esophagectomy: robotic assistance in the abdominal phase.

Over the years, robot-assisted esophagectomy gained popularity. The current literature focused mainly on robotic assistance in the thoracic phase, whereas the implementation of robotic assistance in the abdominal phase is lagging behind. Advantages of adding a robotic system to the abdominal phase include robotic stapling and the increased surgeon's independency. In terms of short-term outcomes and lymphadenectomy, robotic assistance is at least equal to laparoscopy. Yet high quality evidence to conclude on this topic remains scarce. This review focuses on the evidence of robotic assistance in the abdominal phase of esophagectomy.

Current ideas about the roles of rapid eye movement and non-rapid eye movement sleep in brain development.

Understanding the links between sleep and brain development is important, as rapid eye movement (REM) sleep and non-REM (NREM) sleep seem to contribute to different aspects of brain maturation. If children have sleep problems, REM sleep and NREM sleep are likely to have different consequences for their developing brain, depending on their age. We highlight important discoveries from human and animal research on the role sleep plays in brain development. A hypothetical model is presented to explain the dynamic relationship of REM sleep and NREM sleep with different processes of brain maturation, with implications for current neonatal care and future research.

Robot-assisted cervical esophagectomy: first clinical experiences and review of the literature.

Pulmonary complications, and especially pneumonia, remain one of the most common complications after esophagectomy for esophageal cancer. These complications are reduced by minimally invasive techniques or by avoiding thoracic access through a transhiatal approach. However, a transhiatal approach does not allow for a full mediastinal lymphadenectomy. A transcervical mediastinal esophagectomy avoids thoracic access, which may contribute to a decrease in pulmonary complications after esophagectomy. In addition, this technique allows for a full mediastinal lymphadenectomy. A number of pioneering studies have been published on this topic. Here, the initial experience is presented as well as a review of the current literature concerning transcervical esophagectomy, with a focus on the robot-assisted cervical esophagectomy procedure.

Robot-assisted minimally invasive thoracolaparoscopic esophagectomy versus open esophagectomy: long-term follow-up of a randomized clinical trial.

Initial results of the ROBOT, which randomized between robot-assisted minimally invasive esophagectomy (RAMIE) and open transthoracic esophagectomy (OTE), showed significantly better short-term postoperative outcomes in favor of RAMIE. However, it is not yet clarified if RAMIE is equivalent to OTE regarding long-term outcomes. The aim of this study was to report the long-term oncological results of the ROBOT trial in terms of survival and disease-free survival. This study is a follow-up study of the ROBOT trial, which was a randomized controlled trial comparing RAMIE to OTE in 112 patients with intrathoracic esophageal cancer. Both the trial protocol and short-term results were previously published. The primary outcome of the current study was 5-year overall survival. Secondary outcomes were disease-free survival and recurrence patterns. Analysis was by intention to treat. During the recruitment period, 109 patients were included in the survival analysis (RAMIE n = 54, OTE n = 55). Majority of patients had clinical stage III or IV (RAMIE 63%, OTE 55%) and received neoadjuvant chemoradiotherapy (80%). Median follow-up was 60 months (range 31-60). The combined 5-year overall survival rates for RAMIE and OTE were 41% (95% CI 27-55) and 40% (95% CI 26-53), respectively (log rank test P = 0.827). The 5-year disease-free survival rate was 42% (95% CI 28-55) in the RAMIE group and 43% (95% CI 29-57) in the OTE group (log rank test P = 0.749). Out of 104 patients, 57 (55%) developed recurrent disease detected at a median of 10 months (range 0-56) after surgery. No statistically difference in recurrence rate nor recurrence pattern was observed between both groups. Overall survival and disease-free survival of RAMIE are comparable to OTE. These results continue to support the use of robotic surgery for esophageal cancer.

Technical details of the hand-sewn and circular-stapled anastomosis in robot-assisted minimally invasive esophagectomy.

The circular mechanical and hand-sewn intrathoracic anastomosis are most often used in robot-assisted minimally invasive esophagectomy (RAMIE). The aim of this study was to describe the technical details of both techniques that were pioneered in two high volume centers for RAMIE. A prospectively maintained database was used to identify patients with esophageal cancer who underwent RAMIE with intrathoracic anastomosis. The primary outcome was anastomotic leakage, which was analyzed using a moving average curve. For the hand-sewn anastomosis, video recordings were reviewed to evaluate number of sutures and distances between the anastomosis and the longitudinal staple line or gastric conduit tip. Between 2016 and 2019, a total of 68 patients with a hand-sewn anastomosis and 60 patients with a circular-stapled anastomosis were included in the study. For the hand-sewn anastomosis, the moving average curve for anastomotic leakage (including grade 1-3) started at a rate of 40% (cases 1-10) and ended at 10% (cases 59-68). For the circular-stapled anastomosis, the moving average started at 10% (cases 1-10) and ended at 20% (cases 51-60). This study showed the technical details and refinements that were applied in developing two different anastomotic techniques for RAMIE. Results markedly improved during the period of development with specific changes in technique for the hand-sewn anastomosis. The circular-stapled anastomosis showed a more stable rate of performance.