Charcot's neuroarthropathy (CN) is the progressive destruction of the bones and joints of the feet, as a consequence of severe peripheral neuropathy, which predisposes patients to amputations. The purpose of this study was to measure the cumulative incidence of amputations resulting from CN and risk factors among amputated people with diabetes mellitus (DM). This was an epidemiological, observational, and retrospective study of 114 patients with DM who had an amputation involving the lower limbs. Data were collected from 2 specialized outpatient clinics between 2015 and 2019, including socio-demographic and clinical variables (cause of amputation: CN, peripheral arterial disease [PAD], infected ulcers, fracture, osteomyelitis, and others; body mass index [BMI]; 1 or 2 DM, time since DM diagnosis, insulin treatment, glycated hemoglobin; creatinine; smoking and drinking; systemic arterial hypertension, diabetic retinopathy, diabetic kidney disease, diabetic peripheral neuropathy, acute myocardial infarction, PAD, and stroke; characteristics of amputation [level and laterality], in addition to the specific variables related to CN [time of amputation in relation to the diagnosis of CN, diagnosis of CN in the acute phase, and treatment implemented in the acute phase]). We compared socio-demographic and clinical characteristics, including types of amputation, between patients with and without CN. Statistical analyses were performed using the 2 sample -test or Wilcoxon-Mann-Whitney test, for quantitative variables, and the Pearson's χ test or Fisher's exact test for categorical variables. The investigation of the possible association of predictive factors for a CN amputation was carried out through logistic regression. The amputation caused by CN was present in 27 patients with a cumulative incidence of 23.7% in 5 years. There was a statistically significant association between BMI and the occurrence of CN (odds ratio: 1.083; 95% confidence interval: 1.001-1.173; = .048); higher values of BMI were associated with a higher occurrence of amputations secondary from CN.
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Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.
View Article and Find Full Text PDFJMIR Public Health Surveill
January 2025
School of Arts and Media, Wuhan College, Wuhan, China.
Background: The global aging population and rapid development of digital technology have made health management among older adults an urgent public health issue. The complexity of online health information often leads to psychological challenges, such as cyberchondria, exacerbating health information avoidance behaviors. These behaviors hinder effective health management; yet, little research examines their mechanisms or intervention strategies.
View Article and Find Full Text PDFH*10 neutron dosimetry (unlike gamma dosimetry), requires consideration of neutron energy spectra due to the 20× variation of the weight factor over the thermal-to-fast energy range, as well as the neutron radiation field dose rates ranging from cosmic, ~.01 μSv h-1 levels to commonly encountered ~10-200 μSv h-1 in nuclear laboratories/processing plants, and upwards of 104 Sv h-1 in nuclear reactor environments. This paper discusses the outcome of the comparison of spectrum-weighted neutron dosimetry covering thermal-to-fast energy using the novel H*-TMFD spectroscopy-enabled sensor system in comparison with measurements using state-of-the-art neutron dosimetry systems at SRNS-Rotating Spectrometer (ROSPEC), and non-spectroscopic Eberline ASP2E ("Eberline") and Ludlum 42-49B ("Ludlum") survey instrumentation.
View Article and Find Full Text PDFAdv Skin Wound Care
January 2025
Li-li Ma, MSc, RN, is PhD Candidate, Medical College, Tongji University, Shanghai, China Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China. Ya-juan Zhang, MSc, RN, is Head Nurse, Department of Nursing, Shanghai Sixth People's Hospital, School of Medicine, Jiao Tong University, Shanghai. Hui-ren Zhuang, MSc, RN, is Department Head Nursing, Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University. Hui Jiang, PhD, RN, is Nursing Director, Department of Nursing, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University.
Objective: To analyze the risk factors for peristomal skin complications (PSCs) in patients with colorectal cancer and an ostomy, construct a prediction model, and verify its effectiveness.
Methods: In this cross-sectional study, researchers recruited 265 patients with an ostomy at the stoma clinic of a tertiary hospital, from May 2022 to August 2023. Patients were divided into two groups: complications group (n = 81) and no complications group (n = 184).
Expert Opin Drug Discov
January 2025
Centro de Investigación en Reproducción Animal, Universidad Autónoma de Tlaxcala - CINVESTAV Tlaxcala, Tlaxcala, México.
Introduction: Existing pharmacotherapies for schizophrenia have not progressed beyond targeting dopamine and serotonin neurotransmission. Rodent models of schizophrenia are a necessary tool for elucidating neuropathological processes and testing potential pharmacotherapies, but positive preclinical results in rodent models often do not translate to positive results in the clinic.
Areas Covered: The authors reviewed PubMed for studies that applied rodent behavioral models of schizophrenia to assess the antipsychotic potential of several novel pharmacotherapies currently under investigation.
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