An analysis of virtual reality in abdominal surgery-A scoping review.

BACKGROUND: The integration of virtual reality (VR) in surgery has gained prominence as VR applications have increased in popularity. METHODS: A scoping review was undertaken, gathering the most relevant sources, utilising a detailed literature search of medical and academic databases including EMBASE, PubMed, Cochrane, IEEE, Google Scholar, and the Google search engine. RESULTS: Of the 18 articles included, 7 focused on VR in colon surgery, 5 addressed VR in pancreas surgery, and the remaining 6 concentrated on VR in liver surgery. All the articles concluded that VR has a promising future in abdominal surgery by facilitating precision, visualisation, and surgeon training. CONCLUSIONS: Adopting VR technology in abdominal surgery has the potential to improve preoperative planning, decrease perioperative anxiety among patients, and facilitate the training of surgeons, residents, and medical students. Additional supporting studies are necessary before VR can be widely implemented in surgical care delivery.

Analysis of artificial intelligence in thyroid diagnostics and surgery: A scoping review.

BACKGROUND: Artificial Intelligence provides numerous applications in the healthcare sector. The main aim of this study is to evaluate the extent of the current application of artificial intelligence in thyroid diagnostics. METHODS: Our protocol was based on the Scoping Reviews extension of the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA-ScR). Information was gathered from PubMed, Cochrane, and EMBASE databases and Google Scholar. Eligible studies were published between 2017 and 2022. RESULTS: The search identified 133 records, after which 18 articles were included in the scoping review. All the publications were journal articles and discussed various ways that specialists in thyroid diagnostics and surgery have utilized artificial intelligence in their practice. CONCLUSIONS: The development and incorporation of Artificial Intelligence applications in thyroid diagnostics and surgery has been moderate yet promising. However, applications are currently inconsistent and further research is needed to delineate the true benefit and limitations in this field.

Development and validation of a predictive model of the hospital cost associated with bariatric surgery.

Hospitals are facing difficulties in predicting, evaluating, and managing cost-affecting parameters in patient treatments. Inaccurate cost prediction leads to a deficit in operational revenue. This study aims to determine the ability of Machine Learning (ML) algorithms to predict the cost of care in bariatric and metabolic surgery and develop a predictive tool for improved cost analysis. 602 patients who underwent bariatric and metabolic surgery at Wetzikon hospital from 2013 to 2019 were included in the study. Multiple variables including patient factors, surgical factors, and post-operative complications were tested using a number of predictive modeling strategies. The study was registered under Req 2022-00659 and approved by an institutional review board. The cost was defined as the sum of all costs incurred during the hospital stay, expressed in CHF (Swiss Francs). The data was preprocessed and split into a training set (80%) and a test set (20%) to build and validate models. The final model was selected based on the mean absolute percentage error (MAPE). The Random Forest model was found to be the most accurate in predicting the overall cost of bariatric surgery with a mean absolute percentage error of 12.7. The study provides evidence that the Random Forest model could be used by hospitals to help with financial calculations and cost-efficient operation. However, further research is needed to improve its accuracy. This study serves as a proof of principle for an efficient ML-based prediction tool to be tested on multi-center data in future phases of the study.

NSAIDs and Corticosteroids for the Postoperative Management of Age-Related Cataract Surgery: A Systematic Review and Meta-analysis.

PURPOSE: To evaluate the safety and efficacy of non-steroidal anti-inflammatory drugs (NSAIDs) and corticosteroids in the postoperative management of cataract surgery for age-related cataract in adults. DESIGN: Meta-analysis. METHODS: Cochrane, Embase, PubMed, Scopus, Web of Science and CINAHL were searched for articles using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) system. The review was registered prospectively with PROSPERO (CRD42022364733). Randomized controlled trials of patients undergoing age-related cataract surgery treated with corticosteroids, NSAIDs, or a combination were included. RESULTS: A total of 19 studies were included, with 3473 patients (3638 eyes) treated following cataract surgery with NSAIDs (n = 1479), corticosteroids (n = 1307), or a combination (n = 687). Combination treatment demonstrated favorable best-corrected visual acuity compared to corticosteroids 4 to 6 weeks postoperatively (MD = -0.01 logMAR, 95% CI: -0.02, -0.01, I2 = 0%). NSAIDs had more favorable flare values than corticosteroids on day 7 (MD = -9.17 photons/ms, 95% CI = -16.52, -1.82, I2 = 94%), day 14 (MD = -5.23 photons/ms, 95% CI = -8.35, -2.11, I2 = 94%), and 4 to 6 weeks (MD = -1.62 photons/ms, 95% CI = -3.03, -0.20, I2 = 93%) postoperatively. Furthermore, 4 to 8 weeks postoperatively, patients treated with NSAIDs showed lower central macular thickness (MD = -13.26 µm, 95% CI = -18.66, -7.86, I2 = 81%) compared to those treated with corticosteroids. NSAIDs and combination treatment were associated with a lower incidence of central macular edema (OR = 0.16, 95% CI = 0.07, 0.35, I2 = 61%; OR = 0.21, 95% CI = 0.10, 0.45, I2 = 31%) than corticosteroids 4 to 8 weeks postoperatively. CONCLUSIONS: NSAIDs and combination treatments could be regarded as more effective and safer alternatives to corticosteroids alone in the postoperative management of cataract surgery. Further studies should be conducted to determine why this evidence has not been reflected in practice patterns, and to further compare the effectiveness of NSAIDs and combination treatments.

Expect the Unexpected: A Rare Case of Isolated Superior Mesenteric Artery Vasculitis.

Vasculitis of the mesenteric vessels is considered rare and typically occurs as a part of systemic inflammation. Isolated mesenteric artery vasculitis without systemic involvement is rarely reported in the literature. Clinical presentation is usually nonspecific which can range from abdominal pain, nausea and vomiting to gangrene and intestinal perforation in severe cases. Recognizing mesenteric artery vasculitis as a potential cause of abdominal pain can be challenging, and delay in diagnosis can lead to significant mortality and morbidity. Herein, we present a case of a 19-year-old male who initially presented with abdominal pain. Later, isolated superior mesenteric artery (SMA) vasculitis was confirmed by CT angiography. Treatment with systemic steroids alone resulted in a marked improvement in the patient's symptoms as well as in radiographic findings.

Safety and efficacy of LA-ERCP procedure following Roux-en-Y gastric bypass: a systematic review and meta-analysis.

INTRODUCTION: Rapid weight loss following Roux-en-Y gastric bypass surgery (RYGB) translates to an increased need for endoscopic retrograde cholangiopancreatography (ERCP) intervention. Laparoscopically Assisted Transgastric ERCP (LA-ERCP) has emerged to address the issue of accessing the excluded stomach. This study aims to evaluate the safety and efficacy of LA-ERCP procedure following RYGB. METHODS: The Cochrane, EMBASE, SCOPUS, MEDLINE, Daily and Epub databases were searched from inception to May 2022 using the PRISMA guidelines. Eligible studies reported participants older than 18 years who underwent the LA-ERCP procedure, following RYGB, and outcomes of patients. RESULTS: 27 unique studies met the inclusion criteria with 1283 patients undergoing 1303 LA-ERCP procedures. 81.9% of the patients were female and the mean age was 52.18 ± 13.38 years. The rate of concurrent cholecystectomy was 33.6%. 90.9% of procedures were undertaken for a biliary indication. The mean time between RYGB and LA-ERCP was 89.19 months. The most common intervention performed during the LA-ERCP was a sphincterotomy (94.3%). Mean total operative time was 130.48 min. Mean hospital length of stay was 2.697 days. Technical success was 95.3%, while clinical success was 93.8%. 294 complications were recorded with a 20.6% complication rate. The most frequent complications encountered were pancreatitis (6.8%), infection (6.1%), bleeding (3.4%), and perforation (2.5%). Rate of conversion to open laparotomy was 7%. CONCLUSION: This meta-analysis presents preliminary evidence to suggest the safety and efficacy of LA-ERCP procedure following RYGB. Further investigations are warranted to evaluate the long-term efficacy of this procedure using studies with long-term patient follow-up.

Taste and pheromonal inputs govern the regulation of time investment for mating by sexual experience in male Drosophila melanogaster.

Males have finite resources to spend on reproduction. Thus, males rely on a 'time investment strategy' to maximize their reproductive success. For example, male Drosophila melanogaster extends their mating duration when surrounded by conditions enriched with rivals. Here we report a different form of behavioral plasticity whereby male fruit flies exhibit a shortened duration of mating when they are sexually experienced; we refer to this plasticity as 'shorter-mating-duration (SMD)'. SMD is a plastic behavior and requires sexually dimorphic taste neurons. We identified several neurons in the male foreleg and midleg that express specific sugar and pheromone receptors. Using a cost-benefit model and behavioral experiments, we further show that SMD behavior exhibits adaptive behavioral plasticity in male flies. Thus, our study delineates the molecular and cellular basis of the sensory inputs required for SMD; this represents a plastic interval timing behavior that could serve as a model system to study how multisensory inputs converge to modify interval timing behavior for improved adaptation.

Corrigendum: The development of machine learning in bariatric surgery.

[This corrects the article DOI: 10.3389/fsurg.2023.1102711.].

The development of machine learning in bariatric surgery.

Background: Machine learning (ML), is an approach to data analysis that makes the process of analytical model building automatic. The significance of ML stems from its potential to evaluate big data and achieve quicker and more accurate outcomes. ML has recently witnessed increased adoption in the medical domain. Bariatric surgery, otherwise referred to as weight loss surgery, reflects the series of procedures performed on people demonstrating obesity. This systematic scoping review aims to explore the development of ML in bariatric surgery. Methods: The study used the Preferred Reporting Items for Systematic and Meta-analyses for Scoping Review (PRISMA-ScR). A comprehensive literature search was performed of several databases including PubMed, Cochrane, and IEEE, and search engines namely Google Scholar. Eligible studies included journals published from 2016 to the current date. The PRESS checklist was used to evaluate the consistency demonstrated during the process. Results: A total of seventeen articles qualified for inclusion in the study. Out of the included studies, sixteen concentrated on the role of ML algorithms in prediction, while one addressed ML's diagnostic capacity. Most articles (n = 15) were journal publications, whereas the rest (n = 2) were papers from conference proceedings. Most included reports were from the United States (n = 6). Most studies addressed neural networks, with convolutional neural networks as the most prevalent. Also, the data type used in most articles (n = 13) was derived from hospital databases, with very few articles (n = 4) collecting original data via observation. Conclusions: This study indicates that ML has numerous benefits in bariatric surgery, however its current application is limited. The evidence suggests that bariatric surgeons can benefit from ML algorithms since they will facilitate the prediction and evaluation of patient outcomes. Also, ML approaches to enhance work processes by making data categorization and analysis easier. However, further large multicenter studies are required to validate results internally and externally as well as explore and address limitations of ML application in bariatric surgery.

Is pain control for chronic neuropathic pain after inguinal hernia repair using endoscopic retroperitoneal neurectomy effective? A meta-analysis of 142 patients from 1995 to 2022.

PURPOSE: Neuropathic pain is a complication after groin hernia surgery. Triple neurectomy of the iliohypogastric nerve, ilioinguinal nerve and genitofemoral nerve is an efficient treatment modality, with several surgical approaches. The minimally invasive endoscopic method to neurectomy was specifically investigated in this meta-analysis. Our aim is to determine the efficacy of this method in the treatment of chronic neuropathic pain posthernia repair surgery. METHODS: A systematic review was conducted using four databases to search for the keywords ("endoscopic retroperitoneal neurectomy" and "laparoscopic retroperitoneal neurectomy"). The NCBI National Library of Medicine, Cochrane Library, MEDLINE Complete and BioMed Central were last searched on 26 May 2022. Randomised control trials and retrospective or prospective papers involving endoscopic retroperitoneal neurectomy operations after inguinal hernia repair were included. All other surgeries, procedures and study designs were excluded. The internal quality of included studies was assessed using the Newcastle-Ottawa Scale. The percentage of patients who had reduction in pain ("positive treatment outcome") was used to assess the procedure's effectiveness in each analysis. RESULTS: Five comparable endoscopic retroperitoneal neurectomy studies with a total of 142 patients were analysed. Both the Wald test (Q (6) = 1.79, = .775) and the probability ratio test (Q (6) = 4.24, = .374) provide similar findings (0.000, 0.0% [0.0%; 78%]). The meta-analysis' key finding is that the intervention was up to 78% effective (95% confidence interval, 71%; 84%). CONCLUSION: Endoscopic retroperitoneal neurectomy can be an effective treatment option for postoperative neuropathic pain relief following surgical hernia repair. Although there is limited reported experience with this technique, it may provide a clinical benefit to the patient. We recommend further prospective data and long-term follow-up studies be conducted to confirm and expand on these outcomes.

A Rare Case of Pulmonary Embolism in a Patient With Interrupted Inferior Vena Cava and Polysplenia.

Interrupted inferior vena cava (IVC) with azygos continuation is one of the anomalies of the inferior vena cava (AIVCs) where venous drainage of the lower extremities is accomplished through a dilated azygos system and is usually accompanied by other congenital malformations such as polysplenia. AIVCs are more common in patients younger than 40 presenting with deep venous thrombosis (DVT). However, pulmonary embolism (PE) in association with AIVCs remains underreported. In this article, we describe a rare case of a 23-year-old male who presented with syncope secondary to sub-massive pulmonary embolism in the setting of an interrupted vena cava draining directly into the azygous vein.

Antiretrovirals for People with HIV on Dialysis.

In the era of widespread use of antiretroviral therapy (ART), people with HIV (PWH) have a near-normal life expectancy. However, PWH have high rates of kidney diseases and progression to end-stage renal disease at a younger age. PWH have multiple risks for developing acute and chronic kidney diseases, including traditional risk factors such as diabetes, hypertension, and HIV-related factors such as HIV-associated nephropathy and increased susceptibility to infections and exposure to nephrotoxic medications. Despite an improvement in access to kidney transplant among PWH, the number of PWH on dialysis continues to increase. The expansion of the number of antiretrovirals (ARVs) and kidney replacement modalities, the absence of pharmacokinetic data, and therapeutic drug monitoring make it very challenging for providers to dose ARVs appropriately leading to medication errors, adverse events, and higher mortality. Most of the recommendations are either based on small sample size studies or extrapolated based on physiochemical characteristics of ART. We aim to review the most available and most current literature on ART in PWH with renal insufficiency and ART dosing recommendations on dialysis to ensure that PWH are provided with the safest and most effective ART regimen.