Haveyork8370

Background Adrenal pseudocysts are infrequent entities and definite preoperative diagnosis is difficult. We present a case of left adrenal pseudocyst, which was intraoperatively identified as having an adrenal origin and was resected using a laparoscopic approach. Presentation of case A 41-year-old female was referred to our hospital for examination and treatment of a cystic lesion in the pancreatic tail. Preoperative diagnostic imaging studies showed a cystic lesion with intramural nodular structure, measuring 39 mm in the largest diameter and located between the pancreatic tail and the left adrenal gland. However, the origin of the cystic lesion remained unclear, and a definite preoperative diagnosis was not established. The cystic lesion was intraoperatively identified as having an adrenal origin after the division of the loose connective tissue layer around the lesion under the laparoscopic magnified view. Laparoscopic left adrenalectomy was performed as radical treatment and the histopathological diagnosis confirmed the presence of an adrenal pseudocyst. Discussion We could not ascertain the origin of the cystic lesion from the left adrenal gland and establish a definite diagnosis based on the findings of the preoperative diagnostic imaging modalities. Laparoscopic surgery could be more advantageous than the conventional open approach as not only a minimally invasive treatment option but also as an intraoperative diagnostic tool for cystic lesions in the pancreatic tail. Conclusion This case report suggests that laparoscopic surgery could be clinically useful as not only a minimally invasive treatment but also an intraoperative diagnostic tool for cystic lesions in the pancreatic tail region.Background The lack of unique patient identifiers is a challenge to patient care in developing countries. Probabilistic and deterministic matching approaches remain sub-optimal. However, affordable and scalable biometric solutions have not been rigorously evaluated in these settings. Methods We implemented and evaluated performance of an open-source facial recognition system, OpenFace, integrated within a nationally-endorsed electronic health record system in Western Kenya. Patients were first enrolled via facial images, and later matched via the system. Accuracy of facial recognition was evaluated using Sensitivity; False Acceptance Rate (FAR); False Rejection Rate (FRR); Failure to Capture Rate (FTC) and Failure to Enroll Rate (FTE). 103 patients (mean age 37.8, 49.5% female) were enrolled. Results The system had a sensitivity of 99.0%, FAR less then 1%, FRR 0.00, FTC 0.00 and FTE 0.00. Wearing spectacles did not affect performance. Conclusion An open source facial recognition system correctly and accurately identified almost all patients during the first match.Introduction Neuropathic pain (NP) remains a major debilitating condition affecting more than 26% of breast cancer survivors worldwide. NP is diagnosed using a validated 10-items Douleur Neuropathique - 4 screening questionnaire which is administered 3 months after surgery and requires patient-doctor interaction. To develop an effective prognosis model admissible soon after surgery, without the need for patient-doctor interaction, we sought to [1] identify specific pain characteristics that can help determine which patients may be susceptible to NP after BC surgery, and 2) assess the utility of machine learning models developed in objective [1] as a knowledge discovery tool for downstream analysis. Methods The dataset is from a prospective cohort study of female patients scheduled to undergo breast cancer surgery for the first time at the Jewish General Hospital, Montreal, Canada between November 2014 and March 2019. NP was assessed at 3 months after surgery using Douleur Neuropathique - 4 interview scores (ist useful predictors for neuropathic pain.Background The understanding and processing of numerical prognostic information can be challenging for patients who suffer from disease and the stress of a diagnosis. Objective This paper investigates how patients diagnosed with Leukemia respond to different graph representations of prognosis information. Methods We conducted a user-centered design process, for which three experimental prototypes (vertical, horizontal, and pie charts) with and without animation were developed. Twelve patients diagnosed with Leukemia were recruited to evaluate the prototypes using a think-aloud interview protocol. Results The results showed a preference for vertical bar charts over horizontal and pie charts. In addition, we found that animating the charts to "fill-up" generally conveyed a subtle sense of positivity even when diagnosis information was negative. The value of explicitly indicating numeric values and scale varied but the results suggest that what matters to participants is having control over when such details would be seen. The results also point out that making sense of prognostic information involves balancing the tension between information utility and patient judgments about authenticity and credibility of prognosis information. Conclusion Our findings are important for the design and implementation of representations of prognostic information. They suggest that an appropriate visual format can reduce potential negative effects in conveying prognosis information, as well as helping patients stay positive and motivated for cure in the delivery of prognosis information.Negative symptoms in schizophrenia can be explained by two factors, experience and expression, which should be considered as separate symptoms. However, their relative role in real world functioning has not been clarified. This study aimed to clarify the relative role of experience and expression in real world functioning, and their associations with positive symptoms and neurocognitive function. In total 107 patients with schizophrenia were enrolled. The Social Function and the Brief Negative Symptom Scales were used to evaluate the real world functioning and negative symptoms, respectively. The analysis showed that the expression factor influenced real world functioning through the experience factor. In addition, neurocognitive function affected real world functioning independent of expression and experience. These results suggested that interventions that enhance the communicative expression, such as oxytocin therapy and SST, could successfully be combined with motivational interventions, such as the cognitive behavioral therapy. In addition, real world functioning could be improved by separately performing interventions to compensate for vulnerabilities in neurocognitive function and motivation.The COVID-19 pandemic is a tensile stress test of the robustness of healthcare emergency preparedness measures.•Fear of the unknown, uncertainty, and anxiety are risk factors for burnout and trauma in healthcare workers in the wake of a pandemic.•A reliable and accurate psychological preparedness toolkit for healthcare workers is important in reducing stress and anxiety.•A psychological preparedness toolkit may incorporate mental health, organizational theories and health professions education principles.ATP-binding cassette transporter C4 (ABCC4) is associated with multidrug resistance and the regulation of cell signalling. Some prostaglandins (PGs), including PGE2, PGF2α, PGE3, and PGF3α are known substrates of ABCC4, and are released from some types of cells to exert their biological effects. In the present study, we demonstrate that PGD2 is a novel substrate of ABCC4 using a transport assay based on inside-out membrane vesicles prepared from ABCC4-overexpressing cells. Then, we used two types of cell lines with confirmed ABCC4 mRNA and PGD2 release capacity (human mast cell lines HMC-1 cells and human rhabdomyosarcoma cell lines TE671 cells) to evaluate the contribution of ABCC4. The extracellular levels of PGD2 were unchanged following addition of a selective ABCC4 inhibitor in TE671 cells. Pharmacological inhibition and knockdown of ABCC4 significantly reduced the extracellular levels of PGD2 by at least 53% in HMC-1 cells. Moreover, the extracellular levels of PGD2 decreased by at least 20% using the selective ABCC4 inhibitor in the other mast cell line RBL-2H3 cells. Therefore, our results suggest that ABCC4 functions as a PGD2 exporter in HMC-1 cells.PDB-1 is a new C-27-carboxylated-lupane-triterpenoid derivative isolated from Potentilla discolor Bunge. In our previous research, PDB-1 was suggested to have an obvious selectivity for tumor cells. This study focused on clarifying PDB-1's anticancer mechanism in the inhibition of proliferation and in the induction of apoptosis and autophagy in A549 cells. In general, A549 cells were treated with PDB-1 for different times, and cell survival was assessed by a CCK8 assay. The assessment of intracellular reactive oxygen species, a mitochondrial membrane potential assay, a cell cycle assay, an annexin V-FITC/PI assay, and MDC staining were performed in A549 cells treated with PDB-1. Moreover, the mRNA and protein expression of cell cycle-, apoptosis- and autophagy-related factors were detected by RT-qPCR and western blotting. The results showed that PDB-1 inhibited A549 cell proliferation and colony formation in a dose- and time-dependent manner. Selleckchem GW0742 The decrease in the viability of A549 cells was due to a G2/M cell cycle arrest. Moreover, PDB-1 induced cell apoptosis, accompanied by an increase in the Bax/Bcl-2 ratio and an increase in the expression levels of cleaved caspase-3/caspase-9. We also found that PDB-1 induced autophagy by increasing the conversion of LC3-I to LC3-II and elevating Beclin-1. In addition, further studies indicated that pretreatment with a specific PI3K inhibitor (LY294002) enhanced the effects of PDB-1 on the expression of proteins associated with apoptosis and autophagy, demonstrating that the PI3K/Akt/mTOR pathway was related to PDB-1-induced apoptosis and autophagy. These results indicated that PDB-1 may be considered a potential candidate for the future treatment of lung adenocarcinoma. These findings should benefit the development of the C14-COOH type of pentacyclic triterpenoids.Dichloroacetonitrile (DCAN) is one of the emerging nitrogenous disinfection by-products (DBPs) in drinking water. However, its potential toxicological effects remain poorly understood, especially at a low concentration found in the environment. In the present study, we investigated whether the consumption of low-concentration DCAN through drinking water would produce significant effects in male SD rats, with particular focus on their physiological traits and changes in their gut microbiome and metabolite profiles. After a 4-weeks DCAN intervention, significant changes were observed in the body weight, blood indices, and histology in DCAN-treated (100 μg/L) group. Proteobacteria was relatively less abundant in 20 and 100 μg/L DCAN-treated groups compared with that in the control group at phylum level. At genus level, Parasutterella and Anaerotruncus were significantly less abundant in both 20 and 100 μg/L DCAN-treated groups than that in the control group. Furthermore, the gut microbiota-related metabolites were dramatically perturbed after DCAN consumption. In the 20 and 100 μg/L DCAN-treated groups, there were 48 and 95 altered metabolites, respectively, and were found to be involved in sphingolipid signaling pathway, fatty acid biosynthesis, and cGMP-PKG signaling pathway. In summary, we demonstrated that consumption of low-concentration DCAN through drinking water could impair host health and induce gut microbiota dysbiosis and gut microflora-related metabolic disorders in male SD rats. Our findings highlight the potential toxicity of low-concentration DBPs and provide new insight into potential causal relationship between low concentration DBPs found in the drinking water and the host health.