Stage IV pelvic endometriosis poses significant surgical challenges. When umbilical access is deemed high-risk, alternative non-umbilical laparoscopic entry points may be considered. Currently, there is no consensus on the safest or most ideal alternative non-umbilical access site. We report a case of Stage IV pelvic endometriosis accompanied by severe pelvic pain, in which a novel right-sided, alternative non-umbilical laparoscopic entry was successfully employed. This approach was selected due to the presence of retro-umbilical adhesions, a large left-sided ovarian endometrioma, a tubo-ovarian mass, and left-sided hydrosalpinx. The surgical technique and postoperative recovery are detailed, demonstrating favorable outcomes. In selected cases of Stage IV pelvic endometriosis, particularly those with left-sided adnexal pathology, the right-sided “Darwish point” may offer a relatively safe and effective non-umbilical alternative for laparoscopic access. Further studies are needed to validate its safety and efficacy before this entry site can be widely recommended.

Colorectal cancer (CRC), a cancer of the large intestine and rectum, has one of the highest incidence and mortality rates, with incidences expected to nearly double in the next 25 years. The development of CRC may be caused by a collection of mutations via the chromosomal instability pathway, which results in approximately 70% of sporadic CRC cases, or the microsatellite instability pathway. At the same time, there are various modifiable and non-modifiable risk factors that increase one's chances of developing a CRC causing mutation via these pathways. There are three widely used treatments for CRC: surgical resection, chemotherapy, and immunotherapy. Surgical resection remains the standard for CRC that has not metastasized with various options available such as open surgery, laparoscopy, and robotic surgery. In recent years, there has also been a plethora of new research into chemotherapies and immunotherapies as important treatments for metastatic or complicated CRC cases. In this review, we highlight the pathogenesis, risk factors, and treatments for CRC, while also providing a short summary of the diagnosis. Such a study will be helpful for clinicians to better manage patients with CRC.

In recent years, there has been an increase in both the incidence and mortality of breast cancer. Globally, breast cancer is ranked as the main root of cancer-related death in women. Multidrug resistance (MDR) is identified as a primary cause of treatment failure in anticancer chemotherapy. This makes multidrug resistance an interesting therapeutic target in breast cancer. Therefore, elucidation of the molecular mechanisms involved in chemoresistance is essential. Phosphodiesterase 5 (PDE5) cross-talks with nitric oxide/cyclic guanosine monophosphate (NO/cGMP), Wnt/β-catenin, and PI3K/Akt signaling pathways to upregulate the expression of ABC transporters and increase cGMP efflux. This enhances multidrug resistance and impacts cellular processes such as proliferation, apoptosis, and angiogenesis. Thus, further research on the identification of possible factors in the reversal of MDR in breast cancer is necessary. Sildenafil is a selective phosphodiesterase type 5 inhibitor that is commonly utilized as first-line therapy in treating erectile dysfunction. Its safety profile and tolerability have encouraged researchers to develop an interest in further investigations into its beneficial uses, especially its chemo-preventive activity in managing breast cancer. In this review, we critically examined the central role played by PDE5 in activating several pathways involved in MDR in breast cancer. Given that sildenafil is a selective PDE5 inhibitor, we provide insight into its modulatory effects and interactions with signaling pathways targeted by PDE5 to overcome MDR in breast cancer.

<abstract> <p>This study presents a novel approach to enhance cardiovascular disease prediction using a hybrid machine learning (ML) model. Leveraging on Synthetic Minority oversampling techniques (SMOTE) and adaptive boosting (AdaBoost), we integrate these methods with prominent classifiers, including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Extra Tree (ET). Focused on heart rate data as stress level indicators, our objective is to jointly predict cardiovascular disease, thereby addressing the global health challenge of early detection and accurate risk assessments. In response to class imbalance issues in cardiology databases, our hybrid model, which combines SMOTE and AdaBoost, demonstrates promising results. The inclusion of diverse classifiers, such as RF, XGBoost, and ET, enables the model to capture both linear and nonlinear relationships within the heart rate data, significantly enhancing the prediction accuracy. This powerful predictive tool empowers healthcare providers to identify individuals at a high risk for heart disease, thus facilitating timely interventions. This article underscores the pivotal role of ML and hybrid methodologies in advancing health research, particularly in cardiovascular disease prediction. By addressing the class imbalance and incorporating robust algorithms, our research contributes to the ongoing efforts to improve predictive modeling in healthcare. The findings presented here hold significance for medical practitioners and researchers striving for the early detection and prevention of cardiovascular diseases.</p> </abstract>

<abstract> <p>The COVID-19 pandemic initially hit Italy at the end of February 2020. In the following two years, there were about 13 million diagnosed cases and more than 150000 deaths. For this period, we have performed a study that evaluates and compares the impacts on public health of the SARS-CoV-2 waves at the national and regional levels. Based on contagion trends, we considered four pandemic waves. For each wave, we also analyzed a restricted time interval of one month around the peak. We found an underestimation of diagnosed cases and a saturation of available intensive care unit (ICU) beds during the first wave. The second wave had a more significant impact on public health, highlighting that the system of physical distancing measures was less effective than the lockdown implemented during the first wave. Instead, during the first three peaks, the incidence of ICU bed occupancy was superimposable. In general, odds ratios of case fatality rate showed a more significant risk for males than females from the age of thirty onwards. We verified that regional responses to the health emergency were not homogeneous. In particular, in contrast with the national temporal trend, some regions showed a significant increase in the incidence of deaths. Furthermore, we found positive correlations between availability and occupancy of hospital beds from the second wave onward. In contrast, a significant correlation was verified for ICU bed occupancy and deaths only during the second peak. In light of what happened, it would be desirable to plan an increase in public health funds for new emergencies and issue a rigorous plan to face pandemics.</p> </abstract>

<abstract> <p>Stroke is a common disease that has a high rate of mortality and morbidity. The World Stroke Organization states that there are over 12.2 million strokes a year, with 1 in 4 people over the age of 25 predicted to have a stroke in their lifetime. The British data shows that there are around 150,000 stroke related admissions every year in the UK, with strokes occurring at an increasing earlier age. Strokes are generally classified as ischemic or hemorrhagic, with approximately 83% of all patients presenting with an ischemic stroke. The aim of this article is to provide an overview of the acute management of ischemic stroke in our center—a secondary care specialist hospital in the Northeast of England, with approximately 1000 stroke admissions a year.</p> </abstract>

<abstract> <p>Pelvic venous insufficiency (PVI) in women is widespread and is closely associated with the risk of reproductive disorders (in 15–25% of patients) and a high rate of the disease recurrence after treatment. The factors involved in venous wall damage include atherogenic stimuli and chronic endotoxin aggression due to inflammatory processes. The changes in the initial stages of the disease are usually minor and selective. There is currently an urgent need to identify initial markers of these changes to develop preventive measures for their correction. Therefore, the aim of this study was to determine the cytokine profile parameters' levels, as well as the activity of lipid peroxidation (LPO) and antioxidant defense (AOD) reactions in women with initial manifestations of PVI. Thirty-nine female patients with PVI (mean age 37.4 ± 9.1 years old) were the subjects of the study. The diagnosis was verified by clinical and instrumental examination including ultrasound angioscanning of the pelvic veins and therapeutic and diagnostic laparoscopy, and it was finally confirmed histologically. The control group included 30 nearly healthy women (mean age 33.5 ± 6.3 years old) who underwent surgical sterilization by laparoscopic access. Spectrophotometric, fluorometric and immunoassay methods were used in the study. The cytokine profile in female patients with PVI, as compared to the control group, was characterized by an increased concentration of proinflammatory (interleukin (IL) (IL-6) and IL-8) and anti-inflammatory cytokines (IL-4 and IL-10) and higher ratio values (IL-6/IL-10). The level of primary LPO products, conjugated dienes, was significantly increased and level of final products TBARs values was decreased in comparison to the control. The AOD system main enzyme activity, superoxide dismutase (SOD), was decreased, while the catalase activity increased. In patients with PVI, the glutathione reduced form concentration was lower than in the control group. The results of the study in women with PVI suggest negative changes in the cytokine profile and multidirectional changes in the indicators of the LPO system state in the initial stages of the disease. The control of these changes in patients with PVI should probably be an important component of preventive measures in the initial stages of the disease.</p> </abstract>

ObjectiveThere is not enough information in the literature about perceived stress among health professional students during the COVID-19 pandemic. This study aimed to determine the level of perceived stress and its determinants in Turkish undergraduate health professional students during the pandemic.MethodsThis cross-sectional, online survey study included 402 undergraduate health professional students. Data were collected using a personal information form, the Perceived Stress Scale (PSS), the Contentment with Life Assessment Scale, and the Ways of Coping Inventory. Descriptive statistics, Mann–Whitney U test, Student's t-test, one-way analysis of variance, correlation coefficients, and linear regression analysis were used for data analysis.ResultsThe PSS mean score of the students was 32.95 ± 7.34, and 98.2% reported moderate-to-high levels of stress. The significant determinants of stress were younger age (unstandardized β = −0.23, p = 0.035), poor self-rated health (unstandardized β = 1.60, p = 0.005), the presence of sleep problems (unstandardized β = 1.22, p = 0.021), the history of direct contact with suspected COVID-19 patients or infected materials (unstandardized β = 5.82, p < 0.001), following the news about the pandemic closely (unstandardized β = 0.60, p = 0.041), lower life satisfaction (unstandardized β = −0.32, p < 0.001), and lower use of optimistic coping (unstandardized β = −3.24, p < 0.001) but greater use of helpless coping (unstandardized β = 3.31, p < 0.001). The regression model explained 57.6% of the variance in perceived stress.ConclusionsThe level of perceived stress was relatively high among health professional students. This study highlighted the need for psychological support to reduce the level of perceived stress in this population during the COVID-19 pandemic.