According to data from the World Health Organization (WHO), lung cancer is becoming a global epidemic. It is particularly high in the list of the leading causes of death not only in developed countries, but also worldwide; furthermore, it holds the leading place in terms of cancer-related mortality. Nevertheless, many breakthroughs have been made the last two decades regarding its management, with one of the most prominent being the implementation of artificial intelligence (AI) in various aspects of disease management. We included 473 papers in this thorough review, most of which have been published during the last 5–10 years, in order to describe these breakthroughs. In screening programs, AI is capable of not only detecting suspicious lung nodules in different imaging modalities—such as chest X-rays, computed tomography (CT), and positron emission tomography (PET) scans—but also discriminating between benign and malignant nodules as well, with success rates comparable to or even better than those of experienced radiologists. Furthermore, AI seems to be able to recognize biomarkers that appear in patients who may develop lung cancer, even years before this event. Moreover, it can also assist pathologists and cytologists in recognizing the type of lung tumor, as well as specific histologic or genetic markers that play a key role in treating the disease. Finally, in the treatment field, AI can guide in the development of personalized options for lung cancer patients, possibly improving their prognosis.

It is unclear whether prior antidiabetic treatment affects stroke severity and outcome. To evaluate this association, we prospectively studied all patients who were admitted in our Department with acute ischaemic stroke (n = 378, mean age = 78.8 ± 6.5 years). The severity of stroke was assessed at admission with the National Institutes of Health Stroke Scale. The outcome was assessed with the modified Rankin Scale at discharge and with in-hospital mortality. A total of 123 patients had type 2 diabetes mellitus. At admission, there was a trend for lower National Institutes of Health Stroke Scale in patients treated with dipeptidyl peptidase 4 inhibitors compared with patients treated with other antidiabetic agents (6.1 ± 7.5 vs 10.0 ± 9.2, respectively; p = 0.079). At discharge, patients treated with dipeptidyl peptidase 4 inhibitors had lower modified Rankin Scale than patients treated with other antidiabetic agents (2.1 ± 1.9 vs 3.2 ± 2.1, respectively; p < 0.05). Patients treated with dipeptidyl peptidase 4 inhibitors also had lower in-hospital mortality than patients treated with other antidiabetic agents (0.0% vs 15.1%, respectively; p < 0.05). In conclusion, prior treatment with dipeptidyl peptidase 4 inhibitors in patients with acute ischaemic stroke appears to be associated with better functional outcome and lower mortality risk.

Candidemia is a significant cause of morbidity and mortality among critically ill patients. Early-onset candidemia is characterized by occurring within the first seven days after admission to the Intensive Care Unit and presents several important challenges regarding its management. Risk factors may vary among patients with early- and late-onset infection, while clinical manifestations are generally non-specific and covered by the underlying disease and co-morbidities. Diagnosis and appropriate therapy are frequently delayed, with a high risk of progression to invasive, deep-seated infections, leading to rapid clinical deterioration. Management strategies to optimize the approach for patients with early-onset candidemia include the use of both conventional and novel diagnostic techniques, the initiation of appropriate antifungal therapy, administration of an adequate dose, daily evaluation of clinical response, de-escalation treatment whenever possible, and early discontinuation. Incorporating an antifungal stewardship program in clinical practice is essential in order to achieve the best clinical outcomes. Based on a review and analysis of the available literature, this article provides a thorough update on the risk factors, clinical characteristics, diagnostic methods, and management of early-onset candidemia in adult critically ill patients.

The purpose of this study was to investigate the alterations in blood pressure (BP) during midday and the changes in circadian BP patterns in the acute phase of ischemic stroke (AIS) with the severity of stroke and their predictive role outcomes within 3 months. A total of 228 AIS patients (a prospective multicenter follow-up study) underwent 24 h ambulatory blood pressure monitoring (ABPM). Mean BP parameters during the day (7:00–22:59), the midday (13:00–16:59), and the night (23:00–6:59), and midday and nocturnal dipping were calculated. Midday SBP dippers had less severe stroke, lower incidence of hypertension and SBP/DBP on admission, lower levels of serum glucose and WBCs, and delayed initiation of ABPM compared to risers. There was a reverse relation between midday SBP dipping and both nocturnal dipping and stroke severity. The “double dippers” (midday and nocturnal dipping) had the least severe stroke, the lowest SBP/DBP on admission, the lowest heart rate from ABPM, and a lower risk of an unfavorable outcome, while the “double risers” had the opposite results, by an approximately five-fold risk of death/disability at 3 months. These findings indicate different circadian BP patterns during the acute phase of AIS, which could be considered a marker of stroke severity and prognosis.

Infections with multidrug-resistant (MDR) organisms remain a significant cause of morbidity and mortality among liver transplant recipients, despite advances in surgical techniques and immunosuppressive therapy. This prospective observational study aimed to evaluate the impact of targeted perioperative antibiotic prophylaxis against MDR Gram-negative bacteria on postoperative infections and mortality in liver transplant recipients. Seventy-nine adult patients who underwent liver transplantation and were admitted to the ICU for more than 24 h postoperatively were included. Demographics, disease severity scores, comorbidities, and lengths of ICU and hospital stay were recorded. Colonization with carbapenem-resistant Gram-negative bacteria was assessed via preoperative and postoperative cultures from the blood, urine, rectum, and tracheal secretions. Patients were divided into two groups: those with MDR colonization or infection who received targeted prophylaxis and controls who received standard prophylaxis. Infectious complications (30.4%) occurred significantly less frequently than non-infectious ones (62.0%, p = 0.005). The most common infections were bacteremia (22.7%), pneumonia (17.7%), and surgical site infections (2.5%), with most events occurring within 15 days post-transplant. MDR pathogens isolated included Klebsiella pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa. Although overall complication and mortality rates at 30 days and 3 months did not differ significantly between groups, the targeted prophylaxis group had fewer infectious complications (22.8% vs. 68.5%, p = 0.008), particularly bacteremia (p = 0.007). Infection-related mortality was also significantly reduced in this group (p = 0.039). These findings suggest that identification of MDR colonization and administration of targeted perioperative antibiotics may reduce septic complications in liver transplant patients. Further prospective studies are warranted to confirm benefits on outcomes and resource utilization.