Patients experiences when receiving diagnosis of multiple sclerosis: A qualitative systematic review.

BACKGROUND: Multiple sclerosis (MS) is a neurological disease in which the myelin lining the central nervous system is damaged. The complex and unpredictable nature of MS disease makes the diagnosis process more difficult for the patient. The aim of this study was to review the lived experiences of patients with multiple sclerosis when receiving the diagnosis. METHODS: We followed the guidelines of the Preferred Reporting Items for Systematic Reviews (PRISMA) statement. A systematic search was performed using four databases including PubMed, Scopus, Web of Science, and psych info on April 2022. RESULTS: We found 537 articles. After Applying relevant exclusion criteria removing duplicate and irrelevant articles, 13 studies were included in our systematic review after the abstract and full-text screening. Our findings collected data from 10 sub-themes in the following 3 themes to capture patients' experiences after receiving the diagnosis. These included: Emotional reactions to receiving the diagnosis; Communication with health professionals and knowledge about MS and Fear of being different. CONCLUSION: It is important to understand patients' experiences with the disease and identifying problems to help and support families, patients, and health care personnel's. Therefore, it is necessary to design or implement therapeutic interventions for patients at the time of receiving the diagnosis to reduce psychological problems.

Assessment of Patient Safety Culture in a Pediatric Department.

Background An assessment of the prevalent culture needs to be the first step when building patient safety programs in healthcare organizations to achieve high-quality health care. Objective To conduct a baseline assessment of patient safety culture, to provide insight into the factors that contribute to patient safety, and to use the information to make improvements.  Methods The Hospital Survey on Patient Safety Culture (PSC) questionnaire was conducted from October through December 2020 at the Brookdale Hospital Medical Center (BHMC) Pediatric departments (Pediatric Inpatient Unit, Neonatal Intensive Care Unit [NICU], Pediatric Intensive Care Unit [PICU], and Pediatric Emergency Department) and four community-based ambulatory pediatric practices (Brookdale Family Care Centers [BFCC]). The percentages of positive responses on the 12 patient-safety dimensions and the summation of PSC and two outcomes (overall patient safety grade and adverse events reported in the past year) were assessed. Factors associated with PSC aggregate score were analyzed. Results From the 385 emails that were sent, 136 surveys were considered for analysis. This gives us a response rate of 35.3%. Most of the participants were nurses (58%) with direct contact with patients (94.2%). Most respondents did not report any events (60.7%), whereas 30.3% reported 1-2 events in the past year. The patient safety composites with the highest positive scores were teamwork within units (78%), supervisor/manager expectations and actions promoting patient safety (71.2%), and organizational learning--continuous improvement (66.8%). The composites with the lowest scores were non-punitive response to error (35.9%) and staffing (38%). Conclusions All of our composite measures, with the exception of teamwork within units, appear to be low, which means that all the other composite measures require interventions for improvement of overall safety culture. In order for healthcare leaders and policymakers to establish a culture of safety and improvement, they must create a climate of open communication, continuous learning, and eliminate the fear of blame and punitive feedback.

A Review on New 3-D Printed Materials' Geometries for Catalysis and Adsorption: Paradigms from Reforming Reactions and CO2 Capture.

"Bottom-up" additive manufacturing (AM) is the technology whereby a digitally designed structure is built layer-by-layer, i.e., differently than by traditional manufacturing techniques based on subtractive manufacturing. AM, as exemplified by 3D printing, has gained significant importance for scientists, among others, in the fields of catalysis and separation. Undoubtedly, it constitutes an enabling pathway by which new complex, promising and innovative structures can be built. According to recent studies, 3D printing technologies have been utilized in enhancing the heat, mass transfer, adsorption capacity and surface area in CO2 adsorption and separation applications and catalytic reactions. However, intense work is needed in the field to address further challenges in dealing with the materials and metrological features of the structures involved. Although few studies have been performed, the promise is there for future research to decrease carbon emissions and footprint. This review provides an overview on how AM is linked to the chemistry of catalysis and separation with particular emphasis on reforming reactions and carbon adsorption and how efficient it could be in enhancing their performance.

Severe Rhabdomyolysis in a Pediatric Patient after Coxsackie B Virus Infection without Acute Renal Failure: A Case Report.

Rhabdomyolysis is a condition resulting from the breakdown of skeletal muscle fibers with leakage of muscle enzymes into the circulation. The degraded muscle components in the circulation can lead to lethal complications as acute renal failure (ARF). In younger children, viral infections tend to be the major cause while trauma and exercise are the important ones in adolescents. Several viruses such as influenza A & B, parainfluenza and coxsackie have been implicated in causing rhabdomyolysis. We report a case of a 14-year-old girl with severe rhabdomyolysis after recent Coxsackie B infection without acute renal failure.

Efficacy and Safety of Microwave Ablation (MWA) for Hepatocellular Carcinoma (HCC) in Difficult Anatomical Sites in Egyptian Patients with Liver Cirrhosis

Background and aim: Imaging guided microwave ablation (MWA) for hepatocellular carcinoma (HCC) has become a widely used method over recent years. Tumors close to the diaphragm, gastrointestinal tract, gallbladder, pancreas, hepatic hilum and major bile duct or vessels are generally considered relative contraindications for microwave ablation. This study was conducted to assess the effectiveness and safety of ultrasonography-guided MWA in treating patients with HCC in difficult anatomical sites in comparison to those in conventional sites. Patients and methods: Eighty-eight patients were included and divided into two groups: the study group of 44 with 46 lesions lying <5mm from the diaphragm, hepatic capsule, gall bladder (GB) or large vessel; and the control group of 44 patients with 50 lesions in non-risky sites. Each lesion was ablated using an ultrasound guided microwave probe using a detailed protocol. Results: Most of the patients were males, with a mean age of 57.8 years. In the study group, two patients had lesions adjacent to the GB, twelve were perivascular and 32 were subcapsular. The overall successful ablation rates were 84.8% and 92% in the study and control groups, respectively. Within the study group, ablation rates were 100%, 75% and 87.5% for lesions close to the GB, perivascular lesions and subcapsular lesions, respectively. One patient developed a subcutaneous abscess, with good outcome after proper treatment. Fever, pain and asymptomatic pleural effusion were reported after ablation without statistically significant difference between the groups or among subgroups. In conclusion: MWA for HCC in difficult anatomical sites is as effective and safe as for ordinary sites.

Psycho-rheumatic Integration in Systemic Lupus Erythematosus: An Insight into Antibodies Causing Neuropsychiatric Changes.

The main purpose of this paper is to bring together all the antibodies and markers related to neurological and psychiatric manifestations in systemic lupus erythematosus and also the pharmacology that could help treat these symptoms. Existing research data regarding specific antibodies involved in the disease process and drugs that were being studied was collected and analyzed. After reviewing the studies published by various authors, symptoms were shown to be mainly caused by antibodies against N-methyl-D-aspartate receptor (NMDAR) antibodies, anti-endothelial, anti-ribosomal P, antiphospholipid antibodies, cytokines like interferons and chemokines. The monoclonal antibody rituximab has shown to be beneficial in some of the cases. Based on all the articles reviewed, the antibodies and cytokines showed the most effective evidence in causing the different manifestations of neuropsychiatric systemic lupus erythematosus (NPSLE), but studies regarding the drugs being effective against all the symptoms are inconclusive as there are very few studies. Further research to support the drug's effectiveness in managing the symptoms is needed. More studies are needed regarding early diagnosis of NPSLE using the antibodies as biomarkers as it could help in preventing these manifestations.

Application of data mining techniques to explore predictors of HCC in Egyptian patients with HCV-related chronic liver disease.

BACKGROUND: Hepatocellular carcinoma (HCC) is the second most common malignancy in Egypt. Data mining is a method of predictive analysis which can explore tremendous volumes of information to discover hidden patterns and relationships. Our aim here was to develop a non-invasive algorithm for prediction of HCC. Such an algorithm should be economical, reliable, easy to apply and acceptable by domain experts. METHODS: This cross-sectional study enrolled 315 patients with hepatitis C virus (HCV) related chronic liver disease (CLD); 135 HCC, 116 cirrhotic patients without HCC and 64 patients with chronic hepatitis C. Using data mining analysis, we constructed a decision tree learning algorithm to predict HCC. RESULTS: The decision tree algorithm was able to predict HCC with recall (sensitivity) of 83.5% and precession (specificity) of 83.3% using only routine data. The correctly classified instances were 259 (82.2%), and the incorrectly classified instances were 56 (17.8%). Out of 29 attributes, serum alpha fetoprotein (AFP), with an optimal cutoff value of ≥50.3 ng/ml was selected as the best predictor of HCC. To a lesser extent, male sex, presence of cirrhosis, AST>64U/L, and ascites were variables associated with HCC. CONCLUSION: Data mining analysis allows discovery of hidden patterns and enables the development of models to predict HCC, utilizing routine data as an alternative to CT and liver biopsy. This study has highlighted a new cutoff for AFP (≥50.3 ng/ml). Presence of a score of >2 risk variables (out of 5) can successfully predict HCC with a sensitivity of 96% and specificity of 82%.