The Surgical Treatment of Infective Endocarditis: A Comprehensive Review.

Infective endocarditis (IE) is a severe cardiac complication with high mortality rates, especially when surgical intervention is delayed or absent. This review addresses the expanding role of surgery in managing IE, focusing on the variation in surgical treatment rates, the impact of patient demographics, and the effectiveness of different surgical approaches. Despite varying global data, a notable increase in surgical interventions for IE is evident, with over 50% of patients undergoing surgery in tertiary centres. This review synthesizes information from focused literature searches up to July 2023, covering preoperative to postoperative considerations and surgical strategies for IE. Key preoperative concerns include accurate diagnosis, appropriate antimicrobial treatment, and the timing of surgery, which is particularly crucial for patients with heart failure or at risk of embolism. Surgical approaches vary based on valve involvement, with mitral valve repair showing promising outcomes compared to replacement. Aortic valve surgery, traditionally favouring replacement, now includes repair as a viable option. Emerging techniques such as sutureless valves and aortic homografts are explored, highlighting their potential advantages in specific IE cases. The review also delves into high-risk groups like intravenous drug users and the elderly, emphasizing the need for tailored surgical strategies. With an increasing number of patients presenting with prosthetic valve endocarditis and device-related IE, the review underscores the importance of comprehensive management strategies encompassing surgical and medical interventions. Overall, this review provides a comprehensive overview of current evidence in the surgical management of IE, highlighting the necessity of a multidisciplinary approach and ongoing research to optimize patient outcomes.

Autologous breast reconstruction in low- and middle-income countries (LMICs): a systematic review of current practices and challenges.

INTRODUCTION: Efforts to improve global healthcare persist, yet LMICs face challenges accessing surgical care, especially breast reconstruction amidst rising breast cancer cases. This review evaluates the present state and challenges of autologous breast reconstruction in low- and middle-income countries (LMICs). EVIDENCE ACQUISITION: Utilizing the PRISMA guidelines and the Cochrane Collaboration's standards, databases such as EMBASE, MEDLINE, Cochrane, PubMed, and Google Scholar were examined for studies on breast reconstruction in LMICs (based on the World Bank's 2022-2023 definitions) up to August 2022. Articles and case reports focusing on autologous reconstruction following breast cancer surgery in these regions were incorporated. EVIDENCE SYNTHESIS: From an initial 288 articles, 19 met the criteria after thorough assessment. These articles documented 4899 patient cases from LMICs, with the breakdown being: 11 on LD flaps, nine on TRAM flaps, eight on DIEP flaps, two on TDAP flaps, and one on TMG flap. Flap necrosis emerged as the prevalent complication in four studies. CONCLUSIONS: While autologous breast reconstruction presents superior aesthetic benefits without notable long-term economic setbacks, its adoption in LMICs is limited. This is partly due to the domination of implant-based methods among patients and surgeons, selected due to convenience. The scarcity of concrete evidence and standardized metrics in LMICs clouds the understanding of this procedure. Despite its advantages, awareness is low, necessitating more training and awareness campaigns. Uniform reporting, quality data, and financial analysis can provide a comprehensive LMIC understanding, aiding future research.

The Current Status and Challenges of Prehospital Trauma Care in Low- and Middle-Income Countries: A Systematic Review.

BACKGROUND: This review aims to understand the present circumstances on the provision of prehospital trauma care in low- and middle-income countries (LMICs), particularly scoping the challenges experienced by LMICs in this regard. The objective is to systematically evaluate the currently available evidence on this topic. Based on the themes and challenges identified in the provision of prehospital trauma care in LMICs, we provide a series of recommendations and a knowledge base for future research in the field. METHODS: A systematic database search was conducted of original articles that explored and reported on prehospital trauma care in LMIC in EMBASE, MEDLINE, Cochrane database, and Google Scholar, from inception to March 2022. All original articles reporting on prehospital trauma care from 2010 to 2022 in LMICs were assessed, excluding case reports, small case series, editorials, abstracts, and pre-clinical studies; those with data inconsistencies that impede data extraction; and those with study populations fewer than ten. RESULTS: The literature search identified 2,128 articles, of which 29 were included in this review, featuring 27,848 participants from LMICs countries. Four main areas of focus within the studies were identified: (1) exploring emergency service systems, frameworks, and interconnected networks within the context of prehospital trauma care; (2) transportation of patients from the response site to hospital care; (3) medical education and the effects of first responder training in LMICs; and (4) cultural and social factors influencing prehospital trauma care-seeking behaviors. Due to overarching gaps in social and health care systems, significant barriers exist at various stages of providing prehospital trauma care in LMICs, particularly in injury identification, seeking treatment, transportation to hospital, and receiving timely treatment and post-intervention support. CONCLUSION: The provision of prehospital trauma care in LMICs faces significant barriers at multiple levels, largely dependent on wider social, geographic, economic, and political factors impeding the development of such higher functioning systems within health care. However, there have been numerous breakthroughs within certain LMICs in different aspects of prehospital trauma care, supported to varying degrees by international initiatives, that serve as case studies for widespread implementation and targets. Such experiential learning is essential due to the heterogenous landscapes that comprise LMICs.

Left ventricular assist device implantation and concomitant mitral valve surgery: A systematic review and meta-analysis.

BACKGROUND: The management of concomitant valvular lesions in patients undergoing left ventricular assist device (LVAD) implantation remains a topic of debate. This systematic review and meta-analysis aimed to evaluate the existing evidence on postoperative outcomes following LVAD implantation, with and without concomitant MV surgery. METHODS: A systematic database search was conducted as per PRISMA guidelines, of original articles comparing LVAD alone to LVAD plus concomitant MV surgery up to February 2023. The primary outcomes assessed were overall mortality and early mortality, while secondary outcomes included stroke, need for right ventricular assist device (RVAD) implantation, postoperative mitral valve regurgitation, major bleeding, and renal dysfunction. RESULTS: The meta-analysis included 10 studies comprising 32 184 patients. It revealed that concomitant MV surgery during LVAD implantation did not significantly affect overall mortality (OR:0.83; 95% CI: 0.53 to 1.29; p = 0.40), early mortality (OR:1.17; 95% CI: 0.63 to 2.17; p = 0.63), stroke, need for RVAD implantation, postoperative mitral valve regurgitation, major bleeding, or renal dysfunction. These findings suggest that concomitant MV surgery appears not to confer additional benefits in terms of these clinical outcomes. CONCLUSION: Based on the available evidence, concomitant MV surgery during LVAD implantation does not appear to have a significant impact on postoperative outcomes. However, decision-making regarding MV surgery should be individualized, considering patient-specific factors and characteristics. Further research with prospective studies focusing on specific patient populations and newer LVAD devices is warranted to provide more robust evidence and guide clinical practice in the management of valvular lesions in LVAD recipients.

Machine learning algorithms for the prognostication of abdominal aortic aneurysm progression: a systematic review.

INTRODUCTION: Abdominal aortic aneurysm (AAA), often characterized by an abdominal aortic diameter over 3.0 cm, is managed through screening, surveillance, and surgical intervention. AAA growth can be heterogeneous and rupture carries a high mortality rate, with size and certain risk factors influencing rupture risk. Research is ongoing to accurately predict individual AAA growth rates for personalized management. Machine learning, a subset of artificial intelligence, has shown promise in various medical fields, including endoleak detection post-EVAR. However, its application for predicting AAA growth remains insufficiently explored, thus necessitating further investigation. Subsequently, this paper aims to summarize the current status of machine learning in predicting AAA growth. EVIDENCE ACQUISITION: A systematic database search of Embase, MEDLINE, Cochrane, PubMed and Google Scholar from inception till December 2022 was conducted of original articles that discussed the use of machine learning in predicting AAA growth using the aforementioned databases. EVIDENCE SYNTHESIS: Overall, 2742 articles were extracted, of which seven retrospective studies involving 410 patients were included using a predetermined criteria. Six out of seven studies applied a supervised learning approach for their machine learning (ML) models, with considerable diversity observed within specific ML models. The majority of the studies concluded that machine learning models perform better in predicting AAA growth in comparison to reference models. All studies focused on predicting AAA growth over specified durations. Maximal luminal diameter was the most frequently used indicator, with alternative predictors being AAA volume, ILT (intraluminal thrombus) and flow-medicated diameter (FMD). CONCLUSIONS: The nascent field of applying machine learning (ML) for Abdominal Aortic Aneurysm (AAA) expansion prediction exhibits potential to enhance predictive accuracy across diverse parameters. Future studies must emphasize evidencing clinical utility in a healthcare system context, thereby ensuring patient outcome improvement. This will necessitate addressing key ethical implications in establishing prospective studies related to this topic and collaboration among pivotal stakeholders within the AI field.

An update on a persisting challenge: a systematic review and meta-analysis of the risk factors for surgical site infection post craniotomy.

BACKGROUND: Surgical site infections (SSIs) post-craniotomy continue to impose a significant burden on healthcare systems and patient outcomes. It is therefore important to understand their risk factors in order to promote effective preventative measures. This meta-analysis aims to provide a comprehensive, up to date analysis of the risk factors associated with SSIs in neurosurgical procedures. METHODS: A systematic review was conducted as per PRISMA guidelines to explore existing primary evidence on the risk factors for SSIs post- craniotomy. A comprehensive search of MEDLINE, EMBASE and Pubmed was performed from database inception up to June 2023. 43 studies were included in the meta-analysis, encompassing a total of 68,881 patients. RESULTS: The strongest predictor for SSIs was found to be CSF leak (OR: 8.91, CI: 4.30 - 18.44). Other significant factors included infratentorial surgery (OR: 0.43, CI: 0.31 - 0.61), emergency surgery (OR: 1.41, CI: 1.05 - 1.91), re-intervention (OR: 3.19, CI: 1.77 - 5.75), prolonged operative time (mean difference: 33.25; CI: 18.83 - 47.67), hospital length of stay (mean difference: 0.60; CI: 0.23 - 0.98) and ICPM insertion (OR: 1.81; CI: 1.06 - 3.11). Contrarily, sex, BMI, diabetes, antibiotic prophylaxis, immunosuppressive agents, trauma, use of artificial implants did not demonstrate statistical significance. CONCLUSIONS: This meta-analysis provides an up-to-date and comprehensive evaluation of risk factors for SSIs post-craniotomy. It emphasizes the need for preventive strategies, particularly against CSF leaks, and calls for further research to elucidate the intricate relationships between these factors.

Conservative versus early surgical treatment in the management of pyogenic spondylodiscitis: a systematic review and meta-analysis.

Spondylodiscitis is the commonest spine infection, and pyogenic spondylodiscitis is the most common subtype. Whilst antibiotic therapy is the mainstay of treatment, some advocate that early surgery can improve mortality, relapse rates, and length of stay. Given that the condition carries a high mortality rate of up to 20%, the most effective treatment must be identified. We aimed to compare the mortality, relapse rate, and length of hospital stay of conservative versus early surgical treatment of pyogenic spondylodiscitis. All major databases were searched for original studies, which were evaluated using a qualitative synthesis, meta-analyses, influence, and regression analyses. The meta-analysis, with an overall pooled sample size of 10,954 patients from 21 studies, found that the pooled mortality among the early surgery patient subgroup was 8% versus 13% for patients treated conservatively. The mean proportion of relapse/failure among the early surgery subgroup was 15% versus 21% for the conservative treatment subgroup. Further, it concluded that early surgical treatment, when compared to conservative management, is associated with a 40% and 39% risk reduction in relapse/failure rate and mortality rate, respectively, and a 7.75 days per patient reduction in length of hospital stay (p < 0.01). The meta-analysis demonstrated that early surgical intervention consistently significantly outperforms conservative management in relapse/failure and mortality rates, and length of stay, in patients with pyogenic spondylodiscitis.

Leading Transformation in Medical Education Through Extended Reality.

Extended reality (XR) has exponentially developed over the past decades to incorporate technology whereby users can visualise, explore, and interact with 3-dimensional-generated computer environments, and superimpose virtual reality (VR) onto real-world environments, thus displaying information and data on various levels of the reality-virtuality continuum. In the context of medicine, VR tools allow for anatomical assessment and diagnosis, surgical training through lifelike procedural simulations, planning of surgeries and biopsies, intraprocedural guidance, and medical education. The following chapter aims to provide an overview of the currently available evidence and perspectives on the application of XR within medical education. It will focus on undergraduate and postgraduate teaching, medical education within Low-Middle Income Countries, key practical steps in implementing a successful XR programme, and the limitations and future of extended reality within medical education.

Efficacy of pharmacological and mechanical cervical priming methods for induction of labour and their applicability for outpatient management: A systematic review of randomised controlled trials.

BACKGROUND: A systematic review to determine the efficacy and safety of prostaglandins (PG) and Foley catheter (FC) for cervical priming in the outpatient setting. Various methods are available to achieve cervical ripening prior to induction of labour (IOL). In this systematic review, we will report the literature to date, and investigate the efficacy and safety of using the Foley catheter balloon or prostaglandins for cervical ripening, comparing both methods with each other, and discuss the implications of these findings for midwifery led units. METHODS: English peer-reviewed journals were systematically searched in the databases PubMed, MEDLINE, EMCARE, EMBASE and CINAHL, for studies investigating cervical ripening using the FC or PGs. Additional randomised controlled trials (RCTs) and non-RCTs were identified by a manual search. Search terms included: cervix dilatation effacement, cervix ripening, outpatient, ambulatory care, obstetric patients, pharmacological preparations, and Foley catheter. Only RCTs of FC versus PG or either intervention versus placebo or intervention in the in-patient Vs. outpatient setting were included. 15 RCTs were included. RESULTS: The results of this review show that both FC and PG analogues are equally effective cervical ripening agents. When compared to FC, PGs lead to a reduced requirement for oxytocin augmentation and a shorter intervention to delivery interval. However, PG use is also associated with an increased risk of hyperstimulation, cardiotocographic monitoring abnormalities and negative neonatal outcomes. CONCLUSIONS: FC cervical ripening is an effective method of outpatient cervical priming, which is safe, acceptable, and cost-effective and thus has a potential role in both resource-rich and resource-poor countries. With appropriate dosing, some PG analogues also appear to offer similar outcomes.

Prognostic value of mitral regurgitation in patients undergoing left ventricular assist device deployment: A systematic review and meta-analysis.

BACKGROUND: Left ventricular assist devices (LVADs) represent an important therapeutic option for patients progressing to end-stage heart failure. LVAD has previously been shown to have a promising role in improving mitral regurgitation (MR). Nevertheless, the prognostic value of preoperative uncorrected MR in this population remains unclear. METHODS: A systematic database search with meta-analysis was conducted of comparative original articles of patients with preoperative mild MR (Grade 0-I) versus moderate-severe MR (Grade II-III) undergoing LVAD implantation, in EMBASE, MEDLINE, Cochrane database, and Google Scholar, from inception to June 2022. Primary outcomes were overall and operative mortality. Secondary outcomes were neurological dysfunction, gastrointestinal bleeding, right heart failure, LVAD thrombosis, and driveline infection. RESULTS: Our search yielded 2228 relevant studies. A total of 19 studies met the inclusion criteria with a total of 11 873 patients. LVAD caused a statistically significant decrease of 35.9% in the number of patients with moderate-severe MR (grade II-III) postoperatively. No significant difference was observed in terms of overall mortality, operative mortality, GI bleeding, LVAD thrombosis, and driveline infection rates between mild and moderate-severe MR. An increased rate of right heart failure was seen among patients with moderate-severe MR, while lower rates of neurological events were also observed. CONCLUSION: LVAD improves the haemodynamics of the left ventricle, to promote resolution of MR. Nevertheless, the severity of preoperative mitral regurgitation in patients undergoing LVAD deployment does not seem to affect mortality.

Artificial Muscles and Soft Robotic Devices for Treatment of End-Stage Heart Failure.

Medical soft robotics constitutes a rapidly developing field in the treatment of cardiovascular diseases, with a promising future for millions of patients suffering from heart failure worldwide. Herein, the present state and future direction of artificial muscle-based soft robotic biomedical devices in supporting the inotropic function of the heart are reviewed, focusing on the emerging electrothermally artificial heart muscles (AHMs). Artificial muscle powered soft robotic devices can mimic the action of complex biological systems such as heart compression and twisting. These artificial muscles possess the ability to undergo complex deformations, aiding cardiac function while maintaining a limited weight and use of space. Two very promising candidates for artificial muscles are electrothermally actuated AHMs and biohybrid actuators using living cells or tissue embedded with artificial structures. Electrothermally actuated AHMs have demonstrated superior force generation while creating the prospect for fully soft robotic actuated ventricular assist devices. This review will critically analyze the limitations of currently available devices and discuss opportunities and directions for future research. Last, the properties of the cardiac muscle are reviewed and compared with those of different materials suitable for mechanical cardiac compression.

Sex disparities in left ventricular assist device implantation outcomes: A systematic review and meta-analysis of over 50 000 patients.

BACKGROUND: Left ventricular assist devices (LVAD) represent an important therapeutic option for patients progressing to end-stage heart failure. Women have been historically underrepresented in LVAD studies, and have been reported to have worse outcomes despite technological optimisation. We aimed to systematically explore the evidence on sex disparities in the use and outcomes of LVAD implantation. METHODS: A systematic database search with meta-analysis was conducted of comparative original articles of men versus women undergoing LVAD implantation, in EMBASE, MEDLINE, Cochrane database and Google Scholar, from inception to July 2022. Primary outcomes were stroke (haemorrhagic and ischaemic) and early/overall mortality. Secondary outcomes were LVAD thrombosis, right VAD implantation, major bleeding, kidney dysfunction, and device/driveline infection. RESULTS: Our search yielded 137 relevant studies, including 22 meeting the inclusion criteria with a total of 53 227 patients (24.2% women). Overall mortality was higher in women (odds ratio [OR] 1.35, 95% confidence interval [CI] 1.05-1.62, p = 0.02), as was overall stroke (OR 1.32, 95%CI 1.06-1.66, p = 0.01), including ischemic (OR 1.80, 95%CI 1.22-2.64, p = 0.003) and haemorrhagic (OR 1.72, 95%CI 1.09-2.70, p = 0.02). Women had more frequent right VAD implantation (OR 2.11, 95%CI 1.24-3.57, p = 0.006) and major bleeding (OR 1.40, 95%CI 1.06-1.85, p = 0.02). Kidney dysfunction, LVAD thrombosis, and device/driveline infections were comparable between sexes. CONCLUSIONS: Our analysis suggests that women face a greater risk of adverse events and mortality post-LVAD implantation. Although the mechanisms remain unclear, the difference in outcomes is thought to be multifactorial. Further research, that includes comprehensive pre-operative characteristics and post-operative outcomes, is encouraged.

Present and future of machine learning in breast surgery: systematic review.

BACKGROUND: Machine learning is a set of models and methods that can automatically detect patterns in vast amounts of data, extract information, and use it to perform decision-making under uncertain conditions. The potential of machine learning is significant, and breast surgeons must strive to be informed with up-to-date knowledge and its applications. METHODS: A systematic database search of Embase, MEDLINE, the Cochrane database, and Google Scholar, from inception to December 2021, was conducted of original articles that explored the use of machine learning and/or artificial intelligence in breast surgery in EMBASE, MEDLINE, Cochrane database and Google Scholar. RESULTS: The search yielded 477 articles, of which 14 studies were included in this review, featuring 73 847 patients. Four main areas of machine learning application were identified: predictive modelling of surgical outcomes; breast imaging-based context; screening and triaging of patients with breast cancer; and as network utility for detection. There is evident value of machine learning in preoperative planning and in providing information for surgery both in a cancer and an aesthetic context. Machine learning outperformed traditional statistical modelling in all studies for predicting mortality, morbidity, and quality of life outcomes. Machine learning patterns and associations could support planning, anatomical visualization, and surgical navigation. CONCLUSION: Machine learning demonstrated promising applications for improving breast surgery outcomes and patient-centred care. Neveretheless, there remain important limitations and ethical concerns relating to implementing artificial intelligence into everyday surgical practices.

Renal outcomes in valve-in-valve transcatheter versus redo surgical aortic valve replacement: A systematic review and meta-analysis.

INTRODUCTION: Postoperative acute kidney injury (AKI) and the requirement for renal replacement therapy (RRT) remain common and significant complications of both transcatheter valve-in-valve aortic valve replacement (ViV-TAVR) and redo surgical aortic valve replacement (SAVR). Nevertheless, the understanding of renal outcomes in the population undergoing either redo SAVR or ViV-TAVR remains controversial. METHODS: A systematic database search with meta-analysis was conducted of comparative original articles of ViV-TAVR versus redo SAVR in EMBASE, MEDLINE, Cochrane database, and Google Scholar, from inception to September 2021. Primary outcomes were AKI and RRT. Secondary outcomes were stroke, major bleeding, pacemaker implantation rate, operative mortality, and 30-day mortality. RESULTS: Our search yielded 5435 relevant studies. Eighteen studies met the inclusion criteria with a total of 11,198 patients. We found ViV-TAVR to be associated with lower rates of AKI, postoperative RRT, major bleeding, pacemaker implantation, operative mortality, and 30-day mortality. No significant difference was observed in terms of stroke rate. The mean incidence of AKI in ViV-TAVR was 6.95% (±6%) and in redo SAVR was 15.2% (±9.6%). For RRT, our data showed that VIV-TAVR to be 1.48% (±1.46%) and redo SAVR to be 8.54% (±8.06%). CONCLUSION: Renoprotective strategies should be put into place to prevent and reduce AKI incidence regardless of the treatment modality. Patients undergoing re-intervention for the aortic valve constitute a high-risk and frail population in which ViV-TAVR demonstrated it might be a feasible option for carefully selected patients. Long-term follow-up data and randomized control trials will be needed to evaluate mortality and morbidity outcomes between these 2 treatments.

Simulation training for obstetric emergencies in low- and lower-middle income countries: A systematic review.

BACKGROUND: This review aims to systematically evaluate the currently available evidence investigating the effectiveness of simulation-based training (SBT) in emergency obstetrics care (EmOC) in Low- and Lower-Middle Income Countries (LMIC). Furthermore, based on the challenges identified we aim to provide a series of recommendations and a knowledge base for future research in the field. METHODS: A systematic database search was conducted of original articles that explored the use of simulation-based training for EmOC in LMIC in EMBASE, MEDLINE, Cochrane database and Google Scholar, from inception to January 2022. RESULTS: The literature search identified 1,957 articles of which a total of 15 studies were included in this review, featuring 8,900 healthcare professionals from 18 countries. The SBT programmes varied in the reviewed studies. The most common training programme consisted of the PRONTO programme implemented by four studies, comprising of 970 participants across four different countries. In general, programmes consisted of lectures, workshops and simulations of emergency obstetric scenarios followed by a debrief of participants. There were thirteen studies, comprising of 8,332 participants, which tested for improvements in clinical knowledge in post-partum haemorrhage, neonatal resuscitation, pre-eclampsia, shoulder dystocia and sepsis. All the included studies reported improvements in clinical knowledge following the simulation of scenarios. Changes in teamwork, improvement in leadership and in communication skills were also widely reported. CONCLUSION: The use of SBT programmes is not only sustainable, feasible and acceptable in LMIC, but could also improve clinical knowledge, communication, and teamwork among healthcare providers, thus directly addressing the UN Sustainable Development Goals.

Machine learning and artificial intelligence in cardiac transplantation: A systematic review.

BACKGROUND: This review aims to systematically evaluate the currently available evidence investigating the use of artificial intelligence (AI) and machine learning (ML) in the field of cardiac transplantation. Furthermore, based on the challenges identified we aim to provide a series of recommendations and a knowledge base for future research in the field of ML and heart transplantation. METHODS: A systematic database search was conducted of original articles that explored the use of ML and/or AI in heart transplantation in EMBASE, MEDLINE, Cochrane database, and Google Scholar, from inception to November 2021. RESULTS: Our search yielded 237 articles, of which 13 studies were included in this review, featuring 463 850 patients. Three main areas of application were identified: (1) ML for predictive modeling of heart transplantation mortality outcomes; (2) ML in graft failure outcomes; (3) ML to aid imaging in heart transplantation. The results of the included studies suggest that AI and ML are more accurate in predicting graft failure and mortality than traditional scoring systems and conventional regression analysis. Major predictors of graft failure and mortality identified in ML models were: length of hospital stay, immunosuppressive regimen, recipient's age, congenital heart disease, and organ ischemia time. Other potential benefits include analyzing initial lab investigations and imaging, assisting a patient with medication adherence, and creating positive behavioral changes to minimize further cardiovascular risk. CONCLUSION: ML demonstrated promising applications for improving heart transplantation outcomes and patient-centered care, nevertheless, there remain important limitations relating to implementing AI into everyday surgical practices.

The use of augmented reality in transsphenoidal surgery: A systematic review.

BACKGROUND: Augmented reality (AR) has become a promising tool in neurosurgery. It can minimise the anatomical challenges faced by conventional endoscopic or microscopic transsphenoidal reoperations and can assist in intraoperative guidance, preoperative planning, and surgical training. OBJECTIVES: The aims of this systematic review are to describe, compare, and evaluate the use of AR in endoscopic and microscopic transsphenoidal surgery, incorporating the latest primary research. METHODS: A systematic review was performed to explore and evaluate existing primary evidence for using AR in transsphenoidal surgery. A comprehensive search of MEDLINE and EMBASE was conducted from database inception to 11th August 2021 for primary data on the use of AR in microscopic and endoscopic endonasal skull base surgery. Additional articles were identified through searches on PubMed, Google Scholar, JSTOR, SCOPUS, Web of Science, Engineering Village, IEEE transactions, and HDAS. A synthesis without meta-analysis (SWiM) analysis was employed quantitatively and qualitatively on the impact of AR on landmark identification, intraoperative navigation, accuracy, time, surgeon experience, and patient outcomes. RESULTS: In this systematic review, 17 studies were included in the final analysis. The main findings were that AR provides a convincing improvement to landmark identification, intraoperative navigation, and surgeon experience in transsphenoidal surgery, with a further positive effect on accuracy and time. It did not demonstrate a convincing positive effect on patient outcomes. No studies reported comparative mortalities, morbidities, or cost-benefit indications. CONCLUSION: AR-guided transsphenoidal surgery, both endoscopic and microscopic, is associated with an overall improvement in the areas of intraoperative guidance and surgeon experience as compared with their conventional counterparts. However, literature on this area, particularly comparative data and evidence, is very limited. More studies with similar methodologies and quantitative outcomes are required to perform appropriate meta-analyses and to draw significant conclusions.

Virtual and Augmented Reality in Cardiac Surgery

Abstract Virtual and augmented reality can be defined as a three-dimensional real-world simulation allowing the user to directly interact with it. Throughout the years, virtual reality has gained great popularity in medicine and is currently being adopted for a wide range of purposes. Due to its dynamic anatomical nature, permanent drive towards decreasing invasiveness, and strive for innovation, cardiac surgery depicts itself as a unique environment for virtual reality. Despite substantial research limitations in cardiac surgery, the current literature has shown great applicability of this technology, and promising opportunities.

Rescue extracorporeal life support as a bridge to durable left ventricular assist device.

BACKGROUND: The ideal timing of a durable assist device implantation in patients with end-stage heart failure presenting with INTERMACS profile I is still controversial. The data on extracorporeal life support (ECLS) bridge to durable left ventricular assist device (LVAD) in these patients is limited. MATERIALS AND METHODS: We retrospectively analyzed the outcomes of 35 patients in acute cardiogenic shock (CS) who, between December 2013 and September 2020, were bridged with ECLS to durable LVAD. The mean age was 52.3 ± 12.0 years. The primary endpoints of this study were in-hospital, 30-day, 6-month, and 1-year mortality. The secondary endpoint was the development of any postoperative adverse events and other characteristics during the follow-up period. We also assessed the impact of the rescue ECLS on the recovery of the end-organ function. RESULTS: In-hospital, 30-day, 6-month, and 1-year survival was 65.6%, 75.9%, 69.2%, and 62.7% respectively. The median time on ECLS was 7 days (IQR 5.0-13.0). We observed a high incidence of a severe right heart failure (22.9%), acute kidney injury on dialysis (68.6%), and respiratory failure (77.1%). Bridge with ECLS provided a significant recovery of liver and kidney function prior to durable LVAD implantation. CONCLUSION: The concept of bridging patients presenting in end-stage heart failure and cardiogenic shock with ECLS prior to durable LVAD implantation is a feasible method to ensure acceptable survival rates and significant recovery of the end-organ function.