Surgical treatment of pneumothorax in patients with COVID-19 – results and management

Introduction: The new coronavirus, SARS-CoV-2, provokes infection with different clinical presentation. It involves an asymptomatic condition, mild variants with fever and dry cough to severe pneumonia, adynamia and respiratory failure with lethal outcome. The fibrotic lung tissue after the inflammatory process is a background for development of a secondary pneumothorax. Although it rarely causes lethal outcomes in COVID-19 patients, pneumothorax requires early diagnosis and adequate treatment to prevent any complications and decrease mortality rate.Aim: The aim of this study was to analyse the results of surgical treatment of hospitalized COVID-19 patients with pneumothorax in terms of demographic data, concomitant diseases, complications, and outcome.Materials and methods: Longitudinal prospective study was carried out with 26 patients with pneumothorax as a result of SARS-CoV-2 infection. They were treated at the Intensive Care Unit of the Infectious Disease Clinic and at the Second Clinic of Surgery, St George University Hospital in Plovdiv over a 6-month period from September 2020 to February 2021.Results: Seventeen of the patients were men and nine – women. Twenty-four of all patients underwent thoracentesis and two of them had a video-assisted thoracoscopy. The mean age of the studied patients with pneumothorax and COVID-19 was 66.77±12.61 years, which shows that it is the patients of advanced age with concomitant diseases that are at a higher risk of serious complications and adverse outcome. Of the hospitalized 1245 patients with COVID-19, 385 (30.92%) passed away. Of all hospitalized patients with SARS-CoV-2, 26 (2.08%) developed pneumothorax. Sixteen of them (62%) passed away. The possibility of a lethal outcome for intubated patients increased more than twice.Conclusions: The pneumothorax as a complication of COVID-19 carries high mortality and severely worsens the prognosis for these patients

Mermaid syndrome associated with VACTERL-H syndrome

Mermaid syndrome or sirenomelia is an extremely rare congenital malformation with an incidence between 1.5 and 4.2 per 1,000,000 pregnancies. Association of mermaid syndrome with VACTERL-H syndrome is extremely rare, with only two cases reported so far in the literature. We present a new case of type I sirenomelia associated with VACTERL-H syndrome and review the relevant literature. A 15-year-old female patient was admitted to the Department of Pathological Pregnancy at St George University Hospital, Plovdiv with progredient abortion during her first pregnancy. She had low socioeconomic status, negative history of concomitant diseases and addictions. The patient avoided prophylactic intake of folic acid during her pregnancy. Prenatal ultrasound found a malformative fetus. Consequently, magnetic resonance imaging was performed which established the presence of hydrocephalus and defects in the lower part of the spine. These pathological findings indicated interruption of pregnancy at 20 weeks of gestation. The fetopathological examination found sirenomelia type I associated with myelomeningocele, hydrocephalus, anal imperforation, single umbilical artery, bilateral renal and ureteric agenesis, bladder agenesis, tracheo-esophageal fistula, agenesis of external genitals, monkey fold of the left palm of the hand, also known as VACTERL-H syndrome.Our case demonstrates that mermaid syndrome and VACTERL-H syndrome represent different manifestations of a single pathological process that results in disorders of the blastogenesis at different stages during embryonic development.&nbsp

The expanding role of artificial intelligence in the histopathological diagnosis in urological oncology: a literature review

The ongoing growth of artificial intelligence (AI) involves virtually every aspect of oncologic care in medicine. Although AI is in its infancy, it has shown great promise in the diagnosis of oncologic urological conditions. This paper aims to explore the expanding role of artificial intelligence in the histopathological diagnosis in urological oncology. We conducted a focused review of the literature on AI in urological oncology, searching PubMed and Google Scholar for recent advancements in histopathological diagnosis using AI. Various keyword combinations were used to find relevant sources published before April 2nd, 2024. We approached this article by focusing on the impact of AI on common urological malignancies by incorporating the use of different AI algorithms. We targeted the capabilities of AI’s potential in aiding urologists and pathologists in histological cancer diagnosis. Promising results suggest AI can enhance diagnosis and personalized patient care, yet further refinements are needed before widespread hospital adoption. AI is transforming urological oncology by improving histopathological diagnosis and patient care. This review highlights AI’s advancements in diagnosing prostate, renal cell, and bladder cancer. It is anticipated that as AI becomes more integrated into clinical practice, it will have a greater influence on diagnosis and improve patient outcomes

Surgeons' perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey

Background: Artificial intelligence (AI) is gaining traction in medicine and surgery. AI-based applications can offer tools to examine high-volume data to inform predictive analytics that supports complex decision-making processes. Time-sensitive trauma and emergency contexts are often challenging. The study aims to investigate trauma and emergency surgeons' knowledge and perception of using AI-based tools in clinical decision-making processes. Methods: An online survey grounded on literature regarding AI-enabled surgical decision-making aids was created by a multidisciplinary committee and endorsed by the World Society of Emergency Surgery (WSES). The survey was advertised to 917 WSES members through the society's website and Twitter profile. Results: 650 surgeons from 71 countries in five continents participated in the survey. Results depict the presence of technology enthusiasts and skeptics and surgeons' preference toward more classical decision-making aids like clinical guidelines, traditional training, and the support of their multidisciplinary colleagues. A lack of knowledge about several AI-related aspects emerges and is associated with mistrust. Discussion: The trauma and emergency surgical community is divided into those who firmly believe in the potential of AI and those who do not understand or trust AI-enabled surgical decision-making aids. Academic societies and surgical training programs should promote a foundational, working knowledge of clinical AI