Pancreatic cystic lesions (PCLs) represent a spectrum of non-neoplasms and neoplasms with varying malignant potential, posing significant challenges in diagnosis and management. While some PCLs are precursors to pancreatic cancer, others remain benign, necessitating accurate differentiation for optimal patient care. Conventional approaches to PCL management rely heavily on radiographic imaging, and endoscopic ultrasound (EUS) guided fine-needle aspiration (FNA), coupled with clinical and biochemical data. However, the observer-dependent nature of image interpretation and the complex morphology of PCLs can lead to diagnostic uncertainty and variability in patient management strategies. This review critically evaluates current PCL diagnosis and surveillance practices, showing features of the different lesions and highlighting the potential limitations of conventional methods. We then explore the potential of artificial intelligence (AI) to transform PCL management. AI-driven strategies, including deep learning algorithms for automated pancreas and lesion segmentation, and radiomics for analyzing heterogeneity, can improve diagnostic accuracy and risk stratification. These advanced techniques can provide more objective and reproducible assessments, aiding clinicians in decision-making regarding follow-up intervals and surgical interventions. Early results suggest that AI-driven methods can significantly improve patient outcomes by enabling earlier detection of high-risk lesions and reducing unnecessary procedures for benign cysts. Finally, this review emphasizes that AI-driven approaches could potentially reshape the landscape of PCL management, ultimately leading to improved pancreatic cancer prevention.

In COVID-19-induced acute respiratory distress syndrome, the lungs are incapable of filling with sufficient air, leading to hypoxemia that results in high mortality among hospitalized patients. In clinical trials, low-molecular-weight heparin was administered via a specially designed soft-mist inhaler device in an investigator initiated, single-center, open-label, phase-IIb clinical trial. Patients with evidently worse clinical presentations were classed as the “Device Group”; 40 patients were given low-molecular-weight heparin via a soft mist inhaler at a dose of 4000 IU per administration, twice a day. The Control Group, also made up of 40 patients, received the standard therapy. The predetermined severity of hypoxemia and the peripheral oxygen saturation of patients were measured on the 1st and 10th days of treatment. The improvement was particularly striking in cases of severe hypoxemia. In the 10-day treatment, low-molecular-weight heparin was shown to significantly improve breathing capability when delivered via a soft-mist inhaler.

Background Acute kidney injury (AKI) in COVID-19 patients is associated with poor prognosis. However, the incidence, risk factors and potential outcomes of AKI in hospitalized patients are not well studied. Materials and methods This is a retrospective cohort study conducted in two major university hospitals. Electronic health records of the patients, 18 years or older, hospitalized between 13 April and 1 June 2020 with confirmed COVID-19 were reviewed. We described the incidence and the risk factors for AKI development in COVID-19 patients. Furthermore, we investigated the effects of AKI on the length of hospital and intensive care unit (ICU) stay, the admission rates to ICU, the percentage of patients with cytokine storm and in-hospital mortality rate. Results Among 770 hospitalized patients included in this study, 92 (11.9%) patients developed AKI. The length of hospitalized days (16 vs 9.9, p < 0.001) and days spent in the hospital until ICU admission (3.5 vs. 2.5, p = 0.003) were higher in the AKI group compared to patients without AKI. In addition, ICU admission rates were also significantly higher in patients with AKI (63% vs. 20.7%, p < 0.001). The percentage of patients with AKI who developed cytokine storm was significantly higher than patients without AKI (25.9% vs. 14%, p = 0.009). Furthermore, the in-hospital mortality rate was significantly higher in patients with AKI (47.2% vs. 4.7%, p < 0.001). Conclusions AKI is common in hospitalized COVID-19 patients. Furthermore, we show that AKI increases the admission rates to ICU and in-hospital mortality. Our findings suggest that AKI should be effectively managed to prevent the adverse outcomes in COVID-19 patients.

Disease severity, previous medications, immunosuppresive agents could affect the antibody response against SARS-CoV-2. We aimed to analyze variables affecting the humoral response to SARS-CoV-2. In this prospective cohort study, we included adult patients who recovered from COVID-19 and were admitted to COVID-19 follow-up unit. We defined 8 patient groups in accordance with the results of thorax CT, SARS-CoV-2 PCR test, and tocilizumab or anakinra use during active disease. Anti-S IgG antibodies were determined by ELISA in serum samples. Anti-S positive and negative cases were compared. A total of 518 patients were included in the study. SARS-CoV-2 IgG antibodies were positive in 82.8% of patients. SARS-CoV-2 PCR positivity, extent of lung involvement on CT, and time to antibody testing were independently associated with antibody positivity. Tocilizumab, anakinra or prednisolone use was not a factor affecting the antibody response. The rate of antibody response and sample/CO values among antibody positive patients showed a linear relationship with the extent of lung involvement on CT. The use of tocilizumab, anakinra, and prednisolone for COVID-19 did not affect the antibody response against SARS-CoV-2. The main driver of antibody response among patients with COVID-19 was the extent of pulmonary involvement on CT.

Novel coronavirus 19 infection (COVID-19) has become a global pandemic and Turkey had the first coronavirus patient tested positive in 10 March 2020. In this analysis we have discussed the characteristics of Turkish patients who have been hospitalized for COVID-19 infection. Cross sectional study Methods: This retrospective study included all the patients who have been hospitalized for novel coronavirus at blinded for peer review -Department of Internal Medicine between 15th March 2020 and 28th March 2020. Patients were screened with real time PCR (2019nCoV), chest X-ray and computer tomography. Also, their demographic characteristics including sex, age, occupation, comorbid disease etc. were recorded. There were 70 patients for analysis. Thirty-seven patients (52.9 %) tested positive for coronavirus infection with PCR. Mean age was 55.8 (min 24- max 87). There were 49 men (70.0%). Two patients (2%) were sent home and eleven patients (15.7%) were transferred to intensive care unit (ICU). Patients in ICU had statistically higher, pulse rate, respiratory rate, aspartate aminotransferase, lactate dehydrogenase, c-reactive protein, d-dimer, fibrinogen, activated partial thromboplastin time, troponin and procalcitonin compared to patients followed in clinics. Turkey has avoided the disease for some time but as inevitable as it is, our country has been added to the countries which are infected.