Medicine
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Observational Study
The analysis of GM (1, 1) grey model to predict the health resource allocation in Jilin Province, China: An observational study.
To predict the development of health resource allocation in Jilin Province during the 14th 5-Year Plan period, and to provide a scientific basis for promoting the improvement of its service capacity. The data of the health resource from 2015 to 2022 were obtained from the Jilin Statistical Yearbook, and the number of medical institutions, medical beds, health technicians, licensed (assistant) physicians, registered nurses and pharmacists were selected as evaluation indicators, and the grey prediction model constructed by Python was used to predict the development from 2023 to 2025. ⋯ Except that the pharmacist team failed to meet the planning objectives of the 14th 5-Year Plan, the remaining health resources could meet the planning requirements. The allocation level of health resources in Jilin Province has been continuously improved, but it still faces the problems that the allocation of medical beds needs to be optimized, the doctor-nurse ratio needs to be improved, the reserve of registered nurses is insufficient, there is a gap in the pharmacist team, and the development of pharmacy services is slow.
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Case Reports
From thinning to disappearance: A case report on the healing pattern of multiple and giant plantar warts.
Plantar warts, caused by human papillomavirus (HPV) infection, are a common skin condition on the plantar surface. Despite the availability of various treatments, achieving satisfactory outcomes remains elusive. This study explores a novel therapeutic approach combining traditional Chinese medicine (TCM) soaking therapy with cryotherapy to address this challenge. ⋯ Our findings suggest that relying solely on cryotherapy is insufficient for effectively treating plantar warts. The key to successful treatment lies in inhibiting wart proliferation and continuously thinning them, which can be achieved through soaking in TCM. This study demonstrates the potential of combining cryotherapy with TCM soaking as a novel and effective therapeutic approach for treating multiple and giant plantar warts.
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Alzheimer disease is an irreversible neurodegenerative disease, and its pathogenesis involves various mechanisms such as neuroinflammation and β-amyloid deposition. Erjing Pills can inhibit neuroinflammation by inhibiting toll-like receptor 4/nuclear factor kappa-B/nucleotide-binding domain leucine-rich repeat and pyrin domain-containing protein 3; however, qualitative analysis of the material basis is lacking. Therefore, it is necessary to analyze and explore the material basis of network pharmacology research. ⋯ Gene ontology annotation and pathway analysis revealed their involvement in crucial biological processes, such as hormone response, insulin resistance, and steroid hormone biosynthesis signaling pathways, which are known for their anti-inflammatory and cognitive enhancement effects. A meta-analysis of relevant literature corroborated the anti-inflammatory activities of diosgenin and 5 other ingredients. These 5 ingredients, with diosgenin as a prominent candidate, exert anti-inflammatory effects by targeting key components of the toll-like receptor 4/nuclear factor kappa-B/nucleotide-binding domain leucine-rich repeat and pyrin domain-containing protein 3 inflammatory pathway, thereby presenting potential efficacy in the treatment of Alzheimer disease.
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It is still very difficult to diagnose pertussis based on a doctor's experience. Our aim is to develop a model based on machine learning algorithms combined with biochemical blood tests to diagnose pertussis. A total of 295 patients with pertussis and 295 patients with non-pertussis lower respiratory infections between January 2022 and January 2023, matched for age and gender ratio, were included in our study. ⋯ The optimal features and 3 machine learning algorithms including K-nearest neighbor, support vector machine, and eXtreme Gradient Boosting (XGBoost) were used to develop diagnostic models. Using univariate logistic regression analysis, 18 out of the 27 features were considered optimal features associated with pertussis The XGBoost model was significantly superior to both the support vector machine model (Delong test, P = .01) and the K-nearest neighbor model (Delong test, P = .01), with the area under the receiver operating characteristic curve of 0.96 and an accuracy of 0.923. Our diagnostic model based on blood biochemical test results at admission and XGBoost algorithm can help doctors effectively diagnose pertussis.
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Smoking behaviors, physical activities, and pulmonary diseases have been revealed to be associated with COVID-19 severity through observational research. The possible causative effect remains undetermined. To investigate this, we thus carried out a Mendelian randomization (MR) analysis. ⋯ The association for lifetime smoking index remained consistent with severe COVID-19, hospitalized COVID-19, and COVID-19 susceptibility in multivariable MR analysis. Genetic liability to lifetime smoking index mediated the interstitial lung disease effects on severe COVID-19 risk (21.0%) and hospitalized COVID-19 risk (14.4%). This study identified several smoking behaviors, duration of vigorous activity per day, and interstitial lung disease that may be causally related to COVID-19 severity.