Direct Carbon Dioxide Emissions in Robotic Lung Resection–Analysis of a Prospective Cohort

IF 1.8 3区 医学 Q2 SURGERY
Ikennah L. Browne MD, MTM, MHA, Yogita S. Patel BSc, Waël C. Hanna MDCM, MBA
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Abstract

Introduction

Climate change is one of the most significant global health threats of the 21st century. Environmental concerns have led to increasing interest in reducing the carbon footprint of surgical procedures. However, there is a paucity of data evaluating direct carbon dioxide (CO2) emissions associated with robotic lung resection. This study aims to quantify direct CO2 emissions in robotic lung surgery.

Materials and Methods

Patients were identified from a prospectively maintained robotic thoracic database. Those undergoing either robotic segmentectomy or lobectomy for suspected or confirmed lung cancer from December 2017 to December 2022 were included. CO2 volume (liters; L) was used to calculate the weight (grams; g) of CO2 delivered into the chest cavity. Descriptive statistics were used to characterize CO2 utilization and linear regression was performed to identify factors associated with increased CO2 utilization.

Results

Of 528 patients identified, 421 had documented CO2 insufflation data and 90.97% (383/421) underwent either robotic segmentectomy or lobectomy. The mean weight of CO2 utilized was 756.52 (±409.86) g per patient and the weight of CO2 for the entire cohort was 0.29 metric tonnes. This is equivalent to a one-way flight from Toronto, Canada to Salt Lake City, USA. Segmentectomy, increased BMI, increased nodal harvest, and larger tumors were associated with reduced CO2 utilization.

Conclusions

Direct CO2 emissions in robotic lung resection may be lower than previously assumed. While strategies to reduce CO2 utilization ought to be pursued, future studies should be aimed at establishing the optimal approach to mitigating the environmental impact of robotic lung resection.
机器人肺切除术中的直接二氧化碳排放——前瞻性队列分析
气候变化是21世纪最严重的全球健康威胁之一。对环境的关注使得人们对减少外科手术的碳足迹越来越感兴趣。然而,评估与机器人肺切除术相关的直接二氧化碳(CO2)排放的数据缺乏。这项研究旨在量化机器人肺部手术的直接二氧化碳排放量。材料和方法从前瞻性维护的机器人胸廓数据库中确定患者。纳入了2017年12月至2022年12月期间因疑似或确诊肺癌而接受机器人节段切除术或肺叶切除术的患者。CO2体积(升);L)计算重量(g;g)输送到胸腔的二氧化碳量。描述性统计用于描述CO2利用特征,并进行线性回归以确定与CO2利用增加相关的因素。结果在528例患者中,421例有记录的CO2充气数据,90.97%(383/421)接受了机器人节段切除术或肺叶切除术。CO2的平均利用重量为每位患者756.52(±409.86)g,整个队列的CO2重量为0.29公吨。这相当于从加拿大多伦多到美国盐湖城的单程航班。节段切除术、BMI增加、淋巴结收获增加和较大的肿瘤与CO2利用率降低相关。结论机器人肺切除术的直接CO2排放量可能低于先前的假设。虽然应该寻求减少二氧化碳利用的策略,但未来的研究应旨在建立减轻机器人肺切除术对环境影响的最佳方法。
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来源期刊
CiteScore
3.90
自引率
4.50%
发文量
627
审稿时长
138 days
期刊介绍: The Journal of Surgical Research: Clinical and Laboratory Investigation publishes original articles concerned with clinical and laboratory investigations relevant to surgical practice and teaching. The journal emphasizes reports of clinical investigations or fundamental research bearing directly on surgical management that will be of general interest to a broad range of surgeons and surgical researchers. The articles presented need not have been the products of surgeons or of surgical laboratories. The Journal of Surgical Research also features review articles and special articles relating to educational, research, or social issues of interest to the academic surgical community.
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