Purpose Limited data are available on the survival of patients with breast cancer with preexisting mental illness, and elderly women are of special interest because they experience the highest incidence of breast cancer. Therefore, we compared all-cause and breast cancer-specific mortality for elderly patients with breast cancer with and without mental illness. Methods A retrospective cohort study was conducted by using SEER-Medicare data, including 19,028 women ≥ 68 years of age who were diagnosed with stage I to IIIa breast cancer in the United States from 2005 to 2007. Patients were classified as having severe mental illness if an International Classification of Diseases, Ninth Edition, Clinical Modification code for bipolar disorder, schizophrenia, or other psychotic disorder was recorded on at least one inpatient or two outpatient claims during the 3 years before breast cancer diagnosis. Patients were followed for up to 5 years after breast cancer diagnosis to assess survival outcomes, which were then compared with those of patients without mental illness. Results Nearly 3% of patients had preexisting severe mental illness. We observed a two-fold increase in the all-cause mortality hazard between patients with severe mental illness compared with those without mental illness after adjusting for age, income, race, ethnicity, geographic location, and marital status (adjusted hazard ratio, 2.19; 95% CI, 1.84 to 2.60). A 20% increase in breast cancer-specific mortality hazard was observed, but the association was not significant (adjusted hazard ratio, 1.20; 95% CI, 0.82 to 1.74). Patients with severe mental illness were more likely to be diagnosed with advanced breast cancer and aggressive tumor characteristics. They also had increased tobacco use and more comorbidities. Conclusion Patients with severe mental illness may need assistance with coordinating medical services.

Background/Aims: The study aims to identify children's dietary patterns and explore the relationship between dietary patterns and respiratory diseases. Methods: Subjects were 2,397 fourth graders in 14 Taiwanese communities who participated in the Taiwan Children Health Study. This study is based on an evaluation of dietary patterns, performed from April until June 2011. Information pertaining to respiratory disease was obtained by The International Study of Asthma and Allergies in Childhood questionnaire, and dietary intake data obtained by food frequency questionnaire. Factor analysis and reduced rank regression (RRR) were both used to analyze dietary patterns. Results: Using factor analysis, it was found that children on a high-protein, high-fat, Western diet had a significantly higher risk of allergic rhinitis (OR 1.10, 95% CI 1.01-1.20). Lower ORs were noted for current wheezing, ever asthma and bronchitis in children eating a healthy diet than those on a high-protein, high-fat, Western diet. Using RRR, it was found that children on a high-protein, high-fat diet had significantly higher risks of allergic rhinitis (OR 1.17, 95% CI 1.07-1.27), current wheezing (OR 1.23, 95% CI 1.04-1.45) and bronchitis (OR 1.26, 95% CI 1.09-1.46). Conclusions: A diet rich in fat and protein may increase the risk of respiratory disease in children.

Background: The four most commonly used chelation regimens for β-thalassemia major patients in China are a combination therapy of deferoxamine and deferiprone (DFO+DFP), deferoxamine(DFO) monotherapy, deferiprone(DFP) monotherapy and deferasirox(DFX) monotherapy. Such patients use iron chelators their whole lives, resulting in enormous treatment costs. This study analyses the cost-utility of these four regimens from the Chinese healthcare system perspective. Methods: A Markov decision model was used over a 70-year time horizon and was populated using clinical data from a systematic literature review. We obtained utility data from local and previous research. Costs were estimated using Chinese national sources. Results: From the base-case analysis results, DFP was the most cost-effective chelation regimen, followed by DFO+DFP, DFO and DFX. DFP had a 99.60%, 78.10% and 64.40% likelihood of being cost-effective versus DFX, DFO and DFO+DFP, respectively, at a payment threshold of 193,932.00 CNY/QALY. Conclusions: DFP was the most cost-effective chelation regimen for β-thalassemia major patients, followed by DFO+DFP, DFO and DFX. Using DFP as the primary treatment regimen may potentially result in cost-savings and QALY gains for the Chinese healthcare system. To increase these benefits, the Chinese government and clinicians should lower drug costs, increase drug utility and reduce mortality and morbidity. Changes in influential parameters easily affect the results of DFO+DFP versus DFP and of DFP versus DFO; clinicians should focus on such parameters and adjust the regimens accordingly.

In early December 2019, a new virus named "2019 novel coronavirus (2019-nCoV)" appeared in Wuhan, China. The disease quickly spread worldwide, resulting in the COVID-19 pandemic. In the current work, we will propose a novel fuzzy soft modal (i.e., fuzzy-soft expert system) for early detection of COVID-19. The main construction of the fuzzy-soft expert system consists of five portions. The exploratory study includes sixty patients (i.e., forty males and twenty females) with symptoms similar to COVID-19 in (Nanjing Chest Hospital, Department of Respiratory, China). The proposed fuzzy-soft expert system depended on five symptoms of COVID-19 (i.e., shortness of breath, sore throat, cough, fever, and age). We will use the algorithm proposed by Kong et al. to detect these patients who may suffer from COVID-19. In this way, the present system is beneficial to help the physician decide if there is any patient who has COVID-19 or not. Finally, we present the comparison between the present system and the fuzzy expert system.