7 research outputs found

    Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

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    Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

    Effects of β-Adrenergic Antagonists on Chemoradiation Therapy for Locally Advanced Non-Small Cell Lung Cancer

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    Introduction: Locally advanced non-small cell lung cancer (NSCLC) is highly resistant to chemoradiotherapy, and many cancer patients experience chronic stress. Studies that suggest stimulation of β-adrenergic receptors (β-AR) promotes tumor invasion and therapy resistance. We investigated whether β-AR inhibition with beta-blockers acts as a chemotherapy and radiation sensitizer in vitro and in patients treated with chemoradiation for locally advanced NSCLC. Methods: We investigated the effects of the non-selective beta-blocker propranolol on two human lung adenocarcinoma cell lines (PC9, A549) treated with radiation or cisplatin. We retrospectively evaluated 77 patients with Stage IIIA NSCLC who received induction chemoradiation followed by surgery. Pathological and imaging response, metastatic rate, and survival were analyzed using SPSS v22.0 and PrismGraphpad6. Results: Propranolol combined with radiation or cisplatin decreased clonogenic survival of PC9 and A549 cells in vitro (p < 0.05). Furthermore, propranolol decreased expression of phospho-protein kinase A (p-PKA), a β-adrenergic pathway downstream activation target, in both cell lines compared to irradiation or cisplatin alone (p < 0.05). In patients treated for Stage IIIA NSCLC, 16 took beta-blockers, and 61 did not. Beta-blockade is associated with a trend to improved overall survival (OS) at 1 year (81.3% vs 57.4%, p = 0.08) and distant metastasis-free survival (DMFS) (2.6 years vs. 1.3 years, p = 0.16). Although beta-blocker use was associated with decreased distant metastases (risk ratio (RR) 0.19; p = 0.03), it did not affect primary tumor pathological response (p = 0.40) or imaging response (p = 0.36). Conclusions: β-AR blockade enhanced radiation and cisplatin sensitivity of human lung cancer cells in vitro. Use of beta-blockers is associated with decreased distant metastases and potentially improved OS and DMFS. Additional studies are warranted to evaluate the role of beta-blockers as a chemoradiation sensitizer in locally advanced NSCLC
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