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

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

Are all patients with sapheno-femoral junction incompetence the same? An ultrasound analysis to potentially predict recurrence after invasive treatments

The sapheno-femoral junction (SFJ) and the great saphenous vein (GSV) are recognized as one of the main sources of reflux in chronic venous disease. Moreover, reflux time is considered as the main parameter to characterize GSV disease. Despite this, it is well-known in the clinical practice that not all patients with SFJ/GSV reflux are similar, in terms of disease severity and degree. Some other anatomical findings, such as SFJ and GSV diameters, as well as the absence/incompetence of suprasaphenic femoral valve (SFV) might be of interest to better “quantify” the disease severity. The aim of this paper is to describe, through a duplex scan analysis, the relationship between SFJ incompetence, GSV/SFJ diameter and SFV absence/incompetence, to identify if there are patients with “severe” GSV disease and a potential higher recurrence rate after invasive treatments. </jats:p

Artificial Intelligence-Based Voice Assessment of Patients with Parkinson's Disease Off and On Treatment: Machine vs. Deep-Learning Comparison

: Parkinson's Disease (PD) is one of the most common non-curable neurodegenerative diseases. Diagnosis is achieved clinically on the basis of different symptoms with considerable delays from the onset of neurodegenerative processes in the central nervous system. In this study, we investigated early and full-blown PD patients based on the analysis of their voice characteristics with the aid of the most commonly employed machine learning (ML) techniques. A custom dataset was made with hi-fi quality recordings of vocal tasks gathered from Italian healthy control subjects and PD patients, divided into early diagnosed, off-medication patients on the one hand, and mid-advanced patients treated with L-Dopa on the other. Following the current state-of-the-art, several ML pipelines were compared usingdifferent feature selection and classification algorithms, and deep learning was also explored with a custom CNN architecture. Results show how feature-based ML and deep learning achieve comparable results in terms of classification, with KNN, SVM and naïve Bayes classifiers performing similarly, with a slight edge for KNN. Much more evident is the predominance of CFS as the best feature selector. The selected features act as relevant vocal biomarkers capable of differentiating healthy subjects, early untreated PD patients and mid-advanced L-Dopa treated patients

Artificial Intelligence-Based Voice Assessment of Patients with Parkinson’s Disease Off and On Treatment: Machine vs. Deep-Learning Comparison

Parkinson’s Disease (PD) is one of the most common non-curable neurodegenerative diseases. Diagnosis is achieved clinically on the basis of different symptoms with considerable delays from the onset of neurodegenerative processes in the central nervous system. In this study, we investigated early and full-blown PD patients based on the analysis of their voice characteristics with the aid of the most commonly employed machine learning (ML) techniques. A custom dataset was made with hi-fi quality recordings of vocal tasks gathered from Italian healthy control subjects and PD patients, divided into early diagnosed, off-medication patients on the one hand, and mid-advanced patients treated with L-Dopa on the other. Following the current state-of-the-art, several ML pipelines were compared usingdifferent feature selection and classification algorithms, and deep learning was also explored with a custom CNN architecture. Results show how feature-based ML and deep learning achieve comparable results in terms of classification, with KNN, SVM and naïve Bayes classifiers performing similarly, with a slight edge for KNN. Much more evident is the predominance of CFS as the best feature selector. The selected features act as relevant vocal biomarkers capable of differentiating healthy subjects, early untreated PD patients and mid-advanced L-Dopa treated patients.</jats:p

Comparing recist and Choi’s criteria to evaluate radiological response to chemotherapy in patients with advanced pancreatic cancer.

e15069 Background: Assessment of response after chemotherapy (CTH) for pancreatic cancer (PC) is currently based on RECIST criteria. In 2007 Choi et al. published a new classification system.The purpose of this study was to evaluate the accuracy of these classification systems for radiological response to CTH in patients with advanced PC. Methods: From 2006 to 2012, 66 untreated patients with advanced PC underwent palliative CTH. Fourty (60 %) had a locally advanced PC and 26 (40%) a metastatic disease. All patients were treated with a GEM-based CTH or FOLFIRINOX. We assessed radiological response after three months of first-line therapy applying both RECIST criteria, which evaluate differences in CT size, and Choi’s criteria, which consider changes both in size and in density at CT. We evaluated the accuracy in restaging, comparing the class of response with overall survival (OS). OS was calculated with Kaplan-Meier method. The accuracy in restaging was assessed through log rank test and multivariate analysis with Cox Regression. Results: At restaging, using RECIST criteria, we registered 7 (10.6 %) patients with partial response (PR), 32 (48.5 %) with stable disease (SD), and 27 (40.9 %) with disease progression (PD). Instead Choi’s criteria assessed 19 PR (28.8 %), 12 SD (18.2%) and 35 PD (53.0%). Comparing each classification with OS, we observed that patients with different prognosis were better stratified with Choi’s criteria. Using RECIST criteria we found a borderline significant difference in OS between patients with PR (13.47 months), SD (13.67 months) and PD (9.97 months) (p=0.05). Instead we found a significant statistical difference in OS using Choi’s criteria between patient with PR (14 months), SD (16.37 months), PD (9.7 months; p=0.004). Multivariate analysis showed a statistically significant difference in OS between Disease Control Rate (DCR, PR+SD) and PD patients (14.47 vs. 9.67 months, p=0.02), only using Choi’s criteria. Conclusions: In our experience, Choi’s criteria seem to better assess radiological response of CTH in PC patients than RECIST criteria. Due to the small number of patients, larger prospective studies are needed. </jats:p

Comparing recist and Choi\u2019s criteria to evaluate radiological response to chemotherapy in patients with advanced pancreatic cancer

Background: Assessment of response after chemotherapy (CTH) for pancreatic cancer (PC) is currently based on RECIST criteria. In 2007 Choi et al. published a new classification system.The purpose of this study was to evaluate the accuracy of these classification systems for radiological response to CTH in patients with advanced PC. Methods: From 2006 to 2012, 66 untreated patients with advanced PC underwent palliative CTH. Fourty (60 %) had a locally advanced PC and 26 (40%) a metastatic disease. All patients were treated with a GEM-based CTH or FOLFIRINOX. We assessed radiological response after three months of first-line therapy applying both RECIST criteria, which evaluate differences in CT size, and Choi\u2019s criteria, which consider changes both in size and in density at CT. We evaluated the accuracy in restaging, comparing the class of response with overall survival (OS). OS was calculated with Kaplan-Meier method. The accuracy in restaging was assessed through log rank test and multivariate analysis with Cox Regression. Results: At restaging, using RECIST criteria, we registered 7 (10.6 %) patients with partial response (PR), 32 (48.5 %) with stable disease (SD), and 27 (40.9 %) with disease progression (PD). Instead Choi\u2019s criteria assessed 19 PR (28.8 %), 12 SD (18.2%) and 35 PD (53.0%). Comparing each classification with OS, we observed that patients with different prognosis were better stratified with Choi\u2019s criteria. Using RECIST criteria we found a borderline significant difference in OS between patients with PR (13.47 months), SD (13.67 months) and PD (9.97 months) (p=0.05). Instead we found a significant statistical difference in OS using Choi\u2019s criteria between patient with PR (14 months), SD (16.37 months), PD (9.7 months; p=0.004). Multivariate analysis showed a statistically significant difference in OS between Disease Control Rate (DCR, PR+SD) and PD patients (14.47 vs. 9.67 months, p=0.02), only using Choi\u2019s criteria. Conclusions: In our experience, Choi\u2019s criteria seem to better assess radiological response of CTH in PC patients than RECIST criteria. Due to the small number of patients, larger prospective studies are needed

Barbed suture and gastrointestinal surgery. A retrospective analysis

Although minimally invasive surgery is recognized as the gold standard of many surgical procedures, laparoscopic suturing is still considered as the most difficult skill in laparoscopic surgery

Barbed suture and gastrointestinal surgery. A retrospective analysis

Abstract Although minimally invasive surgery is recognized as the gold standard of many surgical procedures, laparoscopic suturing is still considered as the most difficult skill in laparoscopic surgery. The introduction of barbed sutures facilitates laparoscopic suturing because it is not necessary to tie a knot. The efficacy of this method has been evaluated in different types of surgery; however, less is known about general surgery. We retrospectively analysed data from 378 patients who had undergone bariatric or surgical treatment for colic or gastric malignancy requiring a closure of gastroentero, entero-entero or enterocolotomy from January 2014 to January 2019, admitted to the General Surgery Unit and Operative Unit of Surgical Endoscopy of the University Federico II (Naples, Italy). We registered 12 anastomotic leaks (3.1%), 16 anastomotic intraluminal bleedings (4.2%) and 7 extraluminal bleedings. Other complications included 23 cases of postoperative nausea and vomit (6%), 14 cases of postoperative ileus (3.7%) and 3 cases of intra-abdominal abscess (0.8%). Overall complications rate was 19.8% (75/378). No postoperative death was registered. Thus, by pooling together 378 patients, we can assess that barbed suture could be considered safe and effective for closure of holes used for the introduction of a branch of mechanical stapler to perform intracorporeal anastomosis.</jats:p

Minimally invasive pilonidal sinus treatment: A narrative review

The management of chronic pilonidal disease remains controversial, but recently, new minimal invasive approaches have been proposed. Whereas in the conventional surgical treatment an elliptical wedge of skin and subcutaneous tissue is created to remove the sinus and its lateral tracks, the basis for our new treatment is to create a minimal elliptical wedge of the subcutaneous tissue, including all the inflamed tissue and debris while leaving the overlying skin intact