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BACKGROUND: Viral cause of sporadic breast cancer (SBC) has been suggested based on the experimental murine model of mammary tumor caused by mouse mammary tumor virus (MMTV), Epstein-Barr virus (EBV), and human papillomavirus (HPV). While some studies have demonstrated the presence of viral sequences of MMTV, HPV, and EBV in breast cancer cells, others failed. These contradictions may be attributed to the geographical distribution of breast cancer incidence and/or technical variations. In the current study, we aimed to investigate the correlation of MMTV, HPV, and EBV infections with the development of breast cancer in Jordanian patients. METHODS: One hundred SBC tissue samples were subjected to laser capture microdissection for the selection of tumor cells populations. Fluorescence polymerase chain reaction (PCR) was used to detect the presence of the MMTV env-like sequences. Real-time PCR was used for HPV and EBV detection, and EBV was further confirmed by chromogen in situ hybridization (CISH). RESULTS: Mouse mammary tumor virus, HPV, and EBV were detected in SBC in 11%, 21%, and 23%, respectively. Only 3 of 52 (5.7%) positive cases demonstrated multiple virus infections. However, 49 of 52 (94%) of the positive cases revealed the presence of 1 type of viral sequences. Consequently, 52% of the studied breast cancer cases were infected with at least 1 type of the aforementioned viruses. CONCLUSIONS: The current cohort suggests that MMTV, HPV, and EBV have a potential role in the development of breast cancer and adding more reasons to proceed with the quest of a possible viral origin of breast cancer.
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In December 2019, a cluster of fatal pneumonia cases presented in Wuhan, China. They were caused by a previously unknown coronavirus. All patients had been associated with the Wuhan Wholefood market, where seafood and live animals are sold. The virus spread rapidly and public health authorities in China initiated a containment effort. However, by that time, travelers had carried the virus to many countries, sparking memories of the previous coronavirus epidemics, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), and causing widespread media attention and panic. Based on clinical criteria and available serological and molecular information, the new disease was called coronavirus disease of 2019 (COVID-19), and the novel coronavirus was called SARS Coronavirus-2 (SARS-CoV-2), emphasizing its close relationship to the 2002 SARS virus (SARS-CoV). The scientific community raced to uncover the origin of the virus, understand the pathogenesis of the disease, develop treatment options, define the risk factors, and work on vaccine development. Here we present a summary of current knowledge regarding the novel coronavirus and the disease it causes.
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In this study, we propose a new single acceptance sampling plan from truncated life test assuming that the quality characteristics follow the Tsallis q-exponential distribution. The proposed plan is given, and then we derived the operation characteristics function and calculate the optimal sample size and producer''s risk for some given parameter values to measure the performance of this plan. Also, a comparative study with other sampling plan is discussed to show the benefit of the proposed plan, and real data analysis is given to illustrate the applicability of the proposed plan in the industry.
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BACKGROUND: There is a growing concern that reduction in hospital length of stay (LOS) may raise the rate of hospital readmission. This study aims to identify the rate of avoidable 30-day readmission and find out the association between LOS and readmission. METHODS: All consecutive patient admissions to the internal medicine services (n = 5,273) at King Abdullah University Hospital in Jordan between 1 December 2012 and 31 December 2013 were analyzed. To identify avoidable readmissions, a validated computerized algorithm called SQLape was used. The multinomial logistic regression was firstly employed. Then, detailed analysis was performed using the Decision Trees (DTs) model, one of the most widely used data mining algorithms in Clinical Decision Support Systems (CDSS). RESULTS: The potentially avoidable 30-day readmission rate was 44%, and patients with longer LOS were more likely to be readmitted avoidably. However, LOS had a significant negative effect on unavoidable readmissions. CONCLUSIONS: The avoidable readmission rate is still highly unacceptable. Because LOS potentially increases the likelihood of avoidable readmission, it is still possible to achieve a shorter LOS without increasing the readmission rate. Moreover, the way the DT model classified patient subgroups of readmissions based on patient characteristics and LOS is applicable in real clinical decisions.
Assuntos
Sistemas de Apoio a Decisões Clínicas/organização & administração , Árvores de Decisões , Tempo de Internação/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Algoritmos , Criança , Pré-Escolar , Comorbidade , Mineração de Dados , Feminino , Hospitais Universitários , Humanos , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Alta do Paciente , Estudos Retrospectivos , Adulto JovemRESUMO
OBJECTIVES: The aim was to evaluate the awareness and implementation of the Smoking Cessation Clinical Practice (SCCP) guidelines. METHODS: A self-reported questionnaire based on the updated version of the SCCP guidelines was completed by 422 healthcare providers (HCPs) including physicians, dentists, dental hygienists and pharmacists recruited from both public and private sectors in Jordan. KEY FINDINGS: The majority of HCPs reported good smoking-cessation practices. However, their awareness about the SCCP guidelines was inadequate. Approximately 68% of HCPs lacked knowledge of the 5As; about 74% lacked knowledge of the 5Rs of the clinical guidelines for smoking cessation, which are the principal guidelines for smoking intervention and motivation to quit smoking. Fortunately, about 70% of participants from all groups examined and applied most of the steps in the guideline spontaneously without previous knowledge of the guideline. This spontaneous practice could be due to their vast practical experience, and the use of logic and/or basic knowledge about smoking cessation. Compared to physicians, pharmacists and dental hygienists showed significantly more frequent practice of most steps with patients willing to quit smoking. CONCLUSIONS: Jordanian HCPs showed good, spontaneous smoking-cessation practice. However, this practice could have been better if HCPs had adequate awareness of the SCCP guidelines.