Medicine
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Observational Study
The efficacy of erythrocyte apheresis for treatment of secondary erythrocytosis: An observational study.
To evaluate the efficacy of erythrocyte apheresis on the treatment of secondary erythrocytosis. Patients with secondary erythrocytosis who had visited the Department of Hematology at the Qinghai University Affiliated Hospital between January 2021 and May 2022 were enrolled. Based on the treatment method used, the patients were divided into erythrocytapheresis group and bloodletting group. ⋯ The outcomes of 2 groups were compared. Compared with the bloodletting group, the clinical symptoms improved, blood routine indicators such as RBC, Hb, and HCT significantly reduced, and the progression rate was lower in the erythrocytapheresis group. Erythrocytic apheresis is effective and safe for the treatment of secondary erythrocytosis.
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To comprehensively analyze the psychological health status of operating room nurses and identify influencing factors. The research compares psychological health differences based on nurses' years of experience, specifically examining depression and anxiety scores. A detailed assessment was conducted, focusing on nurses with varying experience levels. ⋯ The results indicate that the duration of work, previous experience in disaster relief, and nurses' perception of occupational benefits were the main factors influencing the psychological health status of operating room nurses (P < .05). Healthcare institutions are recommended to implement targeted interventions based on nurses' experience levels, addressing specific psychological health needs. Future research should delve into specific subgroups, conduct long-term tracking, expand the scope of influencing factors, assess the effectiveness of intervention measures, and explore cross-cultural aspects.
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This research aimed to examine the effectiveness of artificial intelligence applications in asthma and chronic obstructive pulmonary disease (COPD) outpatient treatment support in terms of patient health and public costs. The data obtained in the research using semiotic analysis, content analysis and trend analysis methods were analyzed with strengths, weakness, opportunities, threats (SWOT) analysis. In this context, 18 studies related to asthma, COPD and artificial intelligence were evaluated. ⋯ Malicious use, commercial data leaks and data security issues stand out among the threats. Although artificial intelligence applications provide great convenience in the outpatient treatment process for asthma and COPD diseases, precautions must be taken on a global scale and with the participation of international organizations against weaknesses and threats. In addition, there is an urgent need for accreditation for the practices to be carried out in this regard.
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Previous research shows that more than 70% of cardiovascular diseases (CVDs) are attributed to modifiable risk factors. Here, we investigated relationship between consumption of green tea in European and East Asian populations and risk of CVDs using Mendelian randomization (MR). Instrumental variables for green tea intake were obtained from genome-wide association studies (GWASs) of 64,949 Europeans and 152,653 East Asians. ⋯ Likewise, there was no correlation between the consumption of green tea and the occurrence of CVDs in East Asians. The consumption of green tea is not associated with a reduced risk of CVDs in populations from Europe and East Asia. This means that those who are trying to reduce their risk of CVDs by drinking more green tea may not benefit from doing so.
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This integrated study combines bioinformatics, machine learning, and Mendelian randomization (MR) to discover and validate molecular biomarkers for sepsis diagnosis. Methods include differential expression analysis, weighted gene co-expression network analysis (WGCNA) for identifying sepsis-related modules and hub genes, and functional enrichment analyses to explore the roles of hub genes. Machine learning algorithms identify 3 diagnostic genes - CD177, LDHA, and MCEMP1 - consistently highly expressed in sepsis patients. ⋯ Correlations between diagnostic genes and immune cell infiltration are observed. MR analysis reveals a positive causal relationship between MCEMP1 and sepsis risk. In conclusion, this study presents potential sepsis diagnostic biomarkers, highlighting the genetic association of MCEMP1 with sepsis for insights into early diagnosis.