Background and objectives: This review aims to delve into the role of artificial intelligence in medicine. Ulcerative colitis (UC) is a chronic, inflammatory bowel disease (IBD) characterized by superficial mucosal inflammation, rectal bleeding, diarrhoea and abdominal pain. By identifying the challenges inherent in UC diagnosis, we seek to highlight the potential impact of artificial intelligence on enhancing both diagnosis and treatment methodologies for this condition. Method: A targeted, non-systematic review of literature relating to ulcerative colitis was undertaken. The PubMed and Scopus databases were searched to categorize a well-rounded understanding of the field of artificial intelligence and its developing role in the diagnosis and treatment of ulcerative colitis. Articles that were thought to be relevant were included. This paper only included articles published in English. Results: Artificial intelligence (AI) refers to computer algorithms capable of learning, problem solving and decision-making. Throughout our review, we highlighted the role and importance of artificial intelligence in modern medicine, emphasizing its role in diagnosis through AI-assisted endoscopies and histology analysis and its enhancements in the treatment of ulcerative colitis. Despite these advances, AI is still hindered due to its current lack of adaptability to real-world scenarios and its difficulty in widespread data availability, which hinders the growth of AI-led data analysis. Conclusions: When considering the potential of artificial intelligence, its ability to enhance patient care from a diagnostic and therapeutic perspective shows signs of promise. For the true utilization of artificial intelligence, some roadblocks must be addressed. The datasets available to AI may not truly reflect the real-world, which would prevent its impact in all clinical scenarios when dealing with a spectrum of patients with different backgrounds and presenting factors. Considering this, the shift in medical diagnostics and therapeutics is coinciding with evolving technology. With a continuous advancement in artificial intelligence programming and a perpetual surge in patient datasets, these networks can be further enhanced and supplemented with a greater cohort, enabling better outcomes and prediction models for the future of modern medicine.

Background: Infective endocarditis (IE) continues to be a disease with high mortality despite medical advances. Objective: The objective of this study was to investigate the characteristics and prognosis of IE according to the affected valves. Materials and methods: This study was retrospective and single-centered, and it included 270 patients with a diagnosis of IE, for the period 2005–2021, who received treatment at the University Hospital “St. Georgi” in Plovdiv, Bulgaria. Results: Single-valve IE (SIE) was found in 82.6% (n-223), multivalvular IE (MIE) in 16.66% (n = 45) and device IE (CDRIE) in 0.74% (n = 2) of patients. The most commonly affected valve was the aortic valve, in 44.8% (n = 121). The predominant multivalvular involvement was aortic–mitral valves (AV-MV) (13.7%, n = 37). The patients with tricuspid valve (TV) IE were significantly younger, at 39 (30) years, and were more frequently male (80.8%). Mortality was higher in MIE than in SIE (31.1% vs. 23.8%) and was the highest in multivalve aortic–tricuspid (AV-TV) IE (75%). Early surgery was performed most in AV-MV IE, in 29.7% (n = 11). The Charlson comorbidity index (CCI) was significantly higher in MV 4 (4) and AV 3 (3) vs. TV IE 1 (5) (p = 0.048 and p = 0.011, respectively). Septic shock occurred most frequently in AV-TV involvement (75%; p = 0.0001). The most common causative agents were of the Staphylococcus group. Staphylococcus aureus more often affected TV alone (46.2%, n = 124) vs. AV (9.9%, n = 14; p = 0.0001) and vs. MV (22.6%, n = 17; p = 0.022); Staphylococcus coagulase-negative (CNG) was the prevalent cause of MV IE (22.7%, n = 17) vs. AV-MV (2.7%, n = 1; p = 0.007). Streptococci were represented in a low percentage and only in left-sided IE, more frequently in AV-MV (18.9%, n = 7) vs. AV (6.6%, n = 8; p = 0.025). Conclusions: The aortic valve is the most frequently affected valve, as single-valve IE or as multivalve AV-MV, with the predominant causative agents being of the Staphylococcus group. AV-TV IE has the worst prognosis, with the most common complication of septic shock and the highest in-hospital mortality.

Background and Objectives: Bulgaria had the highest mortality rate of COVID-19 in Europe and the second highest in the world based on statistical data. This study aimed to determine the mortality predictors in 306 adult patients with COVID-19 infection, treated at the COVID-19 Ward of St. George University Hospital in Plovdiv, Bulgaria in the period of August 2021–April 2022. Materials and Methods: All admitted and treated patients had a positive PCR test for SARS-CoV-2. They were assigned in three groups based on the severity rating scale published in NIH COVID-19 Treatment Guidelines by Stat Pearls Publishing, 2022. Demographic, clinical, and laboratory parameters and pre-existing comorbidities were investigated. Parametric and non-parametric methods were used for statistics. Logistic regression was applied for parameters significantly associated with mortality. Results: Data showed that demographic indicators were not significantly associated with poorer outcome. Among comorbidities, cardiovascular, chronic pulmonary and endocrine disorders were found to be related to poor survival rates (p = 0.003, p = 0.003 and p = 0.017 resp.) Clinical symptoms, such as sore throat, dry or productive cough and breathlessness, were determinants of poor outcome (p = 0.027, p = 0.029, p = 0.004 and p = 0.002 resp.). Laboratory parameters linked to mortality were elevated d-dimers (p = 0.015), ferritin (p = 0.009) and creatinine (p = 0.038). p02 < 50 and saturation < 90 also indicated a higher risk of death (p = 0.006 and p = 0021). Conclusions: Logistic regression showed that each stage of disease severity increased the risk of death 3.6 times, chronic pulmonary disorders increased it by 4.1, endocrine by 2.4 and dyspnea by 3.1 times.

Despite enormous developments in medicine, infective endocarditis (IE) remains an ongoing issue for physicians due to increased morbidity and persistently high mortality. Our goal was to assess clinical outcomes in patients with IE and identify determinants of in-hospital mortality. Material and methods: The analysis was retrospective, single-centered, and comprised 270 patients diagnosed with IE from 2005 to 2021 (median age 65 (51–74), male 177 (65.6%). Native IE (NVIE) was observed in 180 (66.7%), prosthetic IE (PVIE) in 88 (33.6%), and cardiac device-related IE (CDRIE) in 2 (0.7%), with non-survivors having much higher rates. Healthcare-associated IE (HAIE) was 72 (26.7%), Staphylococci were the most prevalent pathogen, and the proportion of Gram-negative bacteria (GNB) non-HACEK was significantly greater in non-survivors than survivors (11 (15%) vs. 9 (4.5%), p = 0.004). Overall, 54 (20%) patients underwent early surgery, with a significant difference between dead and alive patients (3 (4.5%) vs. 51 (25.1%, p = 0.000). The overall in-hospital mortality rate was 24.8% (67). Logistic regression was conducted on the total sample (n = 270) for the period 2005–2021, as well as the sub-periods 2005–2015 (n = 119) and 2016–2021 (n = 151), to identify any differences in the trend of IE. For the overall group, the presence of septic shock (OR-83.1; 95% CI (17.0–405.2), p = 0.000) and acute heart failure (OR—24.6; 95% CI (9.2–65.0), p = 0.000) increased the risk of mortality. Early surgery (OR-0.03, 95% CI (0.01–0.16), p = 0.000) and a low Charlson comorbidity index (OR-0.85, 95% CI (0.74–0.98, p = 0.026) also lower this risk. Between 2005 and 2015, the presence of septic shock (OR 76.5, 95% CI 7.11–823.4, p = 0.000), acute heart failure (OR-11.5, 95% CI 2.9–46.3, p = 0.001), and chronic heart failure (OR-1.3, 95% CI 1.1–1.8, p = 0.022) enhanced the likelihood of a fatal outcome. Low Charlson index comorbidity (CCI) lowered the risk (OR-0.7, 95% CI 0.5–0.95, p = 0.026). For the period 2016–2021, the variable with the major influence for the model is the failure to perform early surgery in indicated patients (OR-240, 95% CI 23.2—2483, p = 0.000) followed by a complication of acute heart failure (OR-72.2, 95% CI 7.5–693.6. p = 0.000), septic shock (OR-17.4, 95% CI 2.0–150.8, p = 0.010), previous stroke (OR-9.2, 95% CI 1.4–59.4, p = 0.020) and low ejection fraction (OR-1.1, 95% CI 1.0–1.2, p = 0.004). Conclusions: Knowing the predictors of mortality would change the therapeutic approach to be more aggressive, improving the short- and long-term prognosis of IE patients.

Background: Despite tremendous advances in medicine, infective endocarditis (IE) continues to be a challenge for physicians due to increasing morbidity and unchanged high mortality. Objectives: Our aim was to evaluate clinical outcomes in patients with IE and to identify predictors of in-hospital mortality. Material and methods: The study was retrospective, single-centered, and included 270 patients diagnosed with IE, for the period 2005-2021 (median age 65 (51–74), man 177 (65.6%). Results: Native IE (NVIE) was found in 180 (66.7%), prosthetic IE (PVIE) in 88 (33.6%) and cardiac device-related IE (CDRIE) in 2 (0.7%), significantly more in the non-survivors group. Healthcare associated IE (HAIE) was 72 (26.7%), the most common pathogen were Staphylococci and the proportion of Gram-negative bacteria (GNB) non-HACEK were significantly higher in non-survivor’s vs survivors (11 (15%) vs 9 (4.5%), p=0.004). Overall, early surgery was performed in 54 (20%) patients, with a significant difference between deceased/alive (3 (4.5%) vs 51 (25.1%, p=0.000). The all-cause in-hospital mortality rate was 24.8% (67). The risk factors identified that increased the risk of death were septic shock (OR – 83 1; 95% CI (17.0-405.2), p=0.000) and acute heart failure (OR –24.6; 95% CI (9.2-65.0), p=0.000). Early surgery (OR – 0.03, 95% CI (0.01-0.16), p=0.000) and low Charlson comorbidity index (OR – 0.85, 95% CI (0.74-0.98, p=0.026) in turn reduce this risk. Conclusion: We found that acute heart failure and septic shock are independent predictors of in-hospital mortality. Low Charlson comorbidity index and early surgery increased survival. Knowing the predictors of death would change the therapeutic approach to a more aggressive one and improve the near and long-term prognosis of patients with IE.

Background: Infective endocarditis (IE) remains a difficult disease to diagnose and treat, with a persistently high mortality rate. There is a lack of recent data on IE in Bulgaria over the last decades. Methods: This study is retrospective, single-centered, and includes 270 patients diagnosed with IE for the period 2005–2021. We compared two periods, 2005–2015 (n = 119) and 2016–2021 (n = 151), to find the characteristics changes. Results: The study included 177 (65.5%) male patients. In the second period, there is a significant increase in age from 62 (44–73) to 67 (53–75), (p = 0.023); in the Charlson comorbidities index (CCI) from 3 (1–4) to 4 (2–6), (p = 0.000); in cases with chronic kidney diseases (CKDs) from 15 (12.6%) to 55 (36.9%), (p = 0.001); coronary arterial diseases (CADs) from 20 (16.85%) to 44 (29.1%), (p = 0.018); and atrial fibrillation (AF) from 13 (10.9%) to 36 (23.8%), (p = 0.006). Ejection fraction decreased significantly in the second period from 63 (56–70) to 59 (51–66), (p = 0.000). Almost half of the patients 123 (45.6%) had no known predisposing cardiac condition, and 125 (46.3%) had an unknown port of entry. IE was community-acquired in 174 (64.4%), healthcare-associated in 72 (26.7%), and injection-drug-use-related IE in 24 (8.9%). The study population included 183 (67.8%) native valve IE, 85 (31.5%) prosthetic IE, and 2 (0.74%) intracardiac-device-related IE. The hemocultures were positive in 159 (59.6%), and the most frequent pathogenic agent was staphylococci—89 (33.3%) (Staphylococcus aureus—44 (16.5%) and coagulase negative staphylococci—45 (16.8%)). Only 54 (20%) of patients underwent early surgery. The all-cause 30-day mortality rate was 67 (24.8%). There is no significant difference between the two periods in terms of the characteristics listed above. Conclusions: The profile of IE in Bulgaria has changed with increasing age and comorbidity, changing predisposing cardiac conditions, and entry door. The most common pathogen was the Staphylococcus spp. The 30-day mortality rate remains high.