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<p>Robotic-assisted surgery has become increasingly relevant in colorectal procedures, particularly with the emergence of new modular platforms. Multicenter real-world data on the Hugo™ Robotic-Assisted Surgery (RAS) system remains limited. The COLOROBOT IBERICA study is a multicenter retrospective analysis including 285 consecutive patients who underwent elective robotic colorectal surgery using the Hugo™ RAS system between April 2023 and December 2024 across six centers in Spain and Portugal. Demographic data, intraoperative variables, and postoperative outcomes were analyzed. Complications were graded according to the Clavien–Dindo classification, and multivariable analyses were performed to identify predictors of operative time and adverse outcomes. A total of 285 patients were included (median age 69 years; 53% male). Median total operative time was 210&#xa0;min (IQR 160–243), with a median docking time of 6&#xa0;min (IQR 5–9) and a median console time of 121&#xa0;min (IQR 95–146). Estimated blood loss was ≤ 500 mL in 92% of cases. Conversion rate was 1.1%. Overall postoperative complications occurred in 19.2% of patients, with major complications (Clavien–Dindo ≥ III) in 8.0%. Anastomotic leakage occurred in 5.6%, and 4.5% of patients required reintervention. Anticoagulation and neoadjuvant therapy were independently associated with increased morbidity and anastomotic leakage. No robot-related setup factors were associated with complication severity. In this large multicenter real-world cohort, the Hugo™ RAS platform enabled safe, effective, and reproducible colorectal surgery with low conversion rates and acceptable morbidity across different institutions and surgeon profiles. These findings support the scalable integration of modular robotic technology into routine colorectal practice.</p>

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Multicenter international experience with the Hugo™ RAS platform in colorectal surgery: reproducibility and real-world outcomes from the COLOROBOT IBERICA study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月5日

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  • Luis Sánchez-Guillén,
  • Pedro Brandao,
  • Juan Manuel Romero-Marcos,
  • Janine Tabet-Almeida,
  • Carlos Javier Gómez-Díaz,
  • Gloria Báguena-Requena,
  • Marisa Santos,
  • Salvadora Delgado-Rivilla,
  • Manuel López-Bañeres,
  • Pablo Collera-Ormazabal,
  • Francisco Javier Blanco-González,
  • Xavier Barber,
  • Antonio Arroyo

摘要

Robotic-assisted surgery has become increasingly relevant in colorectal procedures, particularly with the emergence of new modular platforms. Multicenter real-world data on the Hugo™ Robotic-Assisted Surgery (RAS) system remains limited. The COLOROBOT IBERICA study is a multicenter retrospective analysis including 285 consecutive patients who underwent elective robotic colorectal surgery using the Hugo™ RAS system between April 2023 and December 2024 across six centers in Spain and Portugal. Demographic data, intraoperative variables, and postoperative outcomes were analyzed. Complications were graded according to the Clavien–Dindo classification, and multivariable analyses were performed to identify predictors of operative time and adverse outcomes. A total of 285 patients were included (median age 69 years; 53% male). Median total operative time was 210 min (IQR 160–243), with a median docking time of 6 min (IQR 5–9) and a median console time of 121 min (IQR 95–146). Estimated blood loss was ≤ 500 mL in 92% of cases. Conversion rate was 1.1%. Overall postoperative complications occurred in 19.2% of patients, with major complications (Clavien–Dindo ≥ III) in 8.0%. Anastomotic leakage occurred in 5.6%, and 4.5% of patients required reintervention. Anticoagulation and neoadjuvant therapy were independently associated with increased morbidity and anastomotic leakage. No robot-related setup factors were associated with complication severity. In this large multicenter real-world cohort, the Hugo™ RAS platform enabled safe, effective, and reproducible colorectal surgery with low conversion rates and acceptable morbidity across different institutions and surgeon profiles. These findings support the scalable integration of modular robotic technology into routine colorectal practice.