Bjerrehicks5639

032 and 0.01, respectively. Correlation analysis showed a weak correlation between IL-6 and obesity (r=0.179,

=0.02). Based on regression study, it was found that the risk for a patient with visceral obesity to develop severe LUTS is 5-times higher than normal (

=0.017).

This study found a correlation between the degree of visceral obesity assessed by VAI and IL-6 levels in BPE patients. In addition, there is also a correlation between the degree of visceral obesity and IL-6 levels on LUTS severity in people with BPE.

This study found a correlation between the degree of visceral obesity assessed by VAI and IL-6 levels in BPE patients. In addition, there is also a correlation between the degree of visceral obesity and IL-6 levels on LUTS severity in people with BPE.Background There is controversy about the efficacy of 5-alpha-reductase inhibitors in COVID-19 patients. Some assumed that finasteride might be a risk factor for deterioration and others proposed it as a possible adjunct treatment for moderate to severe COVID-19 infection in the elderly. Methods We performed a randomized controlled clinical trial (registration ID IRCT20200505047318N1) on 80 hospitalized male patients aged ≥50 years diagnosed with COVID-19 pneumonia in a tertiary hospital in Qazvin (Iran) from April to July 2020. The patients were randomized into one of the 2 treatment groups using simple randomization. Treatment group patients underwent routine drug therapy and 5 mg finasteride once daily for 7 days. The primary endpoint was mortality rate and length of hospital stay (LOS), and secondary endpoints were peripheral capillary oxygen saturation, respiratory rate, and inflammatory markers changes. The study protocol was approved by the medical ethics committee of Qazvin University of Medical Sciences (registration ID IR.QUMS.REC.1399.080). Data were analyzed by statistical tests and SPSS version 25. Also, p less then 0.05 was considered to be statistically significant. Results We found a significant difference on O2 saturation among the 2 study groups on fifth day compared with the admission time (p= 0.018). The results did not show significant differences in mortality rate (2.5% vs 10%; p= 0.166) and LOS (p= 0.866) between patients in the finasteride and the control group. Conclusion A short course of finasteride administration partially improves O2 saturation but does not influence other outcomes in hospitalized male patients aged ≥50 years with COVID-19 pneumonia. Further research in a large scale with longer follow-up is required to help clarify the role of finasteride in this setting.Background The novel 2019 Coronavirus disease (COVID-19) poses a great threat to global public health and the economy. The earlier detection of COVID-19 is the key to its treatment and mitigating the transmission of the virus. Given that Machine Learning (ML) could be potentially useful in COVID-19 identification, we compared 7 decision tree (DT) algorithms to select the best clinical diagnostic model. Methods A hospital-based retrospective dataset was used to train the selected DT algorithms. The performance of DT models was measured using performance criteria, such as accuracy, sensitivity, specificity, receiver operating characteristic (ROC), and precision-recall curves (PRC). Finally, the best decision model was obtained based on comparing the mentioned performance criteria. Results Based on the Gini Index (GI) scoring model, 13 diagnostic criteria, including the lung lesion existence (GI= 0217), fever (GI= 0.205), history of contact with suspected people (GI= 0.188), O2 saturation rate in the blood (GI= 0.181), rhinorrhea (GI= 0.177), dyspnea (GI = 0.177), cough (GI = 0.159), history of taking the immunosuppressive drug (GI= 0.145), history of respiratory failure (ARDS) (GI= 0.141), lung lesion situation (GI= 0.133) and appearance (GI= 0.126), diarrhea (GI= 0.112), and nausea and vomiting (GI = 0.092) have been obtained as the most important criteria in diagnosing COVID-19. The results indicated that the J-48, with the accuracy= 0.85, F-Score= 0.85, ROC= 0.926, and PRC= 0.93, had the best performance for diagnosing COVID-19. Conclusion According to the empirical results, it is promising to implement J-48 in health care settings to increase the accuracy and speed of COVID-19 diagnosis.Background Over the years, cognitive-behavioural therapy (CBT) has gained momentum because of its robust evidence in the treatment of several disorders. However, there is an issue of religious and cultural appropriateness as CBT principles are based on Western conceptualization. This single-case study (N = 1) implements a culturally and religiously adapted CBT on a 34-year-old male with panic disorder with agoraphobia in Malaysia. The client had symptoms comprising various episodes of sudden onset of breathlessness, accelerated heart rate, and fear of dying for the last 14 years. The CBT was culturally and religiously adapted based on (1) A CBT manual in Bahasa Malaysia that was previously modified and adjusted according to the norms of the Malaysian society and (2) General guidelines in "Religious-Cultural Psychotherapy in the Management of Anxiety Patients" by Razali et al in 2002. The present modified CBT had 3 assessments formulation sessions and 12 intervention sessions. Methods The first 6 sessions were based on the behaviour component of CBT (ie, a relaxation technique using Islamic prayer, reciting verses from the Holy Quran, slow breathing exercise, body scan, and progressive muscular relaxation). YUM70 purchase However, sessions 7 to 12 were focused on cognitive restructuring and exercises, such as identification of negative automatic thoughts, cognitive distortions, dysfunctional thought records, vertical arrow technique, and the coping statement was practised through collaborative empiricism, while implementing Islamic and cultural elements. The focus of termination sessions was on interoceptive exposure, cognitive rehearsal, and in vivo situational exposure. Results Beck Anxiety Inventory (BAI) was administered at regular intervals. link2 BAI scores revealed the effectiveness of adapting the intervention. Conclusion Panic attacks, worry about panic attacks, and anxiety scores reduced remarkably and the client was able to go out of the house, travel independently, and pursue religious/social activities.Background Clinical decision support systems (CDSSs) interventions were used to improve the life quality and safety in patients and also to improve practitioner performance, especially in the field of medication. link3 Therefore, the aim of the paper was to summarize the available evidence on the impact, outcomes and significant factors on the implementation of CDSS in the field of medicine. Methods This study is a systematic literature review. PubMed, Cochrane Library, Web of Science, Scopus, EMBASE, and ProQuest were investigated by 15 February 2017. The inclusion requirements were met by 98 papers, from which 13 had described important factors in the implementation of CDSS, and 86 were medicated-related. We categorized the system in terms of its correlation with medication in which a system was implemented, and our intended results were examined. In this study, the process outcomes (such as; prescription, drug-drug interaction, drug adherence, etc.), patient outcomes, and significant factors affecting the implementation of CDSS were reviewed. Results We found evidence that the use of medication-related CDSS improves clinical outcomes. Also, significant results were obtained regarding the reduction of prescription errors, and the improvement in quality and safety of medication prescribed. Conclusion The results of this study show that, although computer systems such as CDSS may cause errors, in most cases, it has helped to improve prescribing, reduce side effects and drug interactions, and improve patient safety. Although these systems have improved the performance of practitioners and processes, there has not been much research on the impact of these systems on patient outcomes.Background Metabolic syndrome (MetS) and osteoporosis are two of the world's major healthcare issues. There are several studies which explored the association between MetS and bone mineral density (BMD), but all of them are cross-sectional. These studies cover all populations, including expatriated, which did not determine the actual problem among Saudi women. This is the first case-control study that determines the causal relationship between MetS and BMD. The objective of this study is to determine the relationship between metabolic syndrome and bone mass density among Saudi menopausal women in Eastern Province - Saudi Arabia. Methods It's a case-control study and 380 menopausal Saudi women were selected through simple random sampling. They were divided into 190 cases with osteoporosis and 190 without osteoporosis. Bone Mineral Density (BMD) at the total hip was determined using dual-energy X-ray absorptiometry (DEXA). T score was calculated. The association between the risk factors of MetS and bone mineral density was determined by binary logistic regression analysis using SPSS (statistical package of social science) software. Results Among women, the prevalence of MetS was substantially higher in those with osteoporosis. The Mets is positively correlated with bone mineral density. (r=0.08, p=0.051). The occurrence of MetS was associated with increased osteoporosis among Saudi women (B=0.004; p=0.005) after adjustment of confounders. The existence of obesity was significantly associated with increased odds of Bone marrow density among women (OR 2.56; 95 % CI, 2.22-3.44; p=0.030) after adjustment of confounders. Conclusion The incidence of MetS was associated with osteoporosis in Saudi women.Background To quantitatively estimate the relationship between IL-1β -511C>T, -31T>C, and +3954C>T polymorphisms and risk of gestational disorders. Methods In this meta-analysis, eligible publications were searched in Web of Knowledge, MEDLINE, PubMed, Scopus, and Google Scholar databases (updated April 2020), using appropriate or relevant keywords. Case-control population-based reports were included if provided with genotypic frequencies of both studied groups. Statistical analyses were performed using the MetaGenyo web tool software, where a P value less than 0.05 indicated a significant association. For the assessment of between-study variations, heterogeneity analysis was applied with the I2 statistics. Results A total of thirteen studies were included. We observed a significant association between IL-1β-31T>C polymorphism and reduced risk of gestational disorders under codominant CT vs. CC [OR= 0.74, CI (0.59-0.92)], and dominant CT+TT vs. CC [OR= 0.74, CI (0.60-0.91)] contrasted genetic models. The stratified analysis considering the disease type showed that the 511C>T variant, under the recessive CC vs. CT+TT model, enhanced the risk of preterm birth by 1.29 fold. Conclusion Our results failed to support an association between two IL-1β polymorphisms, 511C>T and +3954C>T, with the overall risk of gestational disorders. In contrast, the 31T>C variant reduced the incidence of such diseases. Further studies are encouraged to get more precise estimates of effect sizes.