Medicine
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Evidence from observational researches have suggested that mental diseases are able to affect thyroid diseases. However, the causal relationship between mental diseases and the risk of thyroid diseases still remains unclear. Herein, we conducted a two-sample Mendelian randomization (MR) statistical analysis method to assess the causality between mental diseases and thyroid diseases. ⋯ Then we subsequently conducted a consistent robustness analysis to assess heterogeneity and horizontal pleiotropy. Our method reports causal relationships exist mental diseases and the risk of thyroid diseases. Subsequent researches are still warranted to determine how mental diseases influence the development of thyroid diseases.
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Hypertensive heart disease was difficult to cure with drugs, and most patients had poor compliance, leading to recurrent disease and poor quality of life. The intelligent management mode based on the Internet of Things avoided the excessive dependence of the elderly patients on medical institutions in the traditional medical model and enabled patients to monitor themselves. This study aimed to explore the impact on self-management ability and prognosis of elderly patients with hypertensive heart disease. ⋯ After intervention, the scores of self-management ability in diet control, self-care skills, rehabilitation exercise, and self-monitoring in observation group were higher than those in control group (P < .05). After intervention, the total incidence of chest tightness, dyspnea, arrhythmia, edema, and nausea in the observation group was 5 (6.67%), which was significantly lower than that in the control group 12 (16.00%) (P < .05). The application of intelligent management mode based on the Internet of Things could effectively improve patients' blood pressure level, improve patients' self-management ability, and significantly improve the prognosis, which was worthy of popularization and application.
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In this article, we attempted to identify risk factors affecting the loss of vertebral height and kyphosis correction on type A thoracolumbar fractures. Patients with type A thoracolumbar fractures who underwent short segments with intermediate screws at the fracture level management between 2017 and 2022 were included in this study. Clinical factors including patients' demographic characteristics (age, sex), history (smoking, hypertension and/or diabetes), value of height/kyphosis correction, the thoracolumbar injury classification and severity score (TLICS), the load sharing classification (LSC) scores and bone mineral density were collected. ⋯ The mean height and kyphosis correction were 21.8% ± 7.5% and 9.9° ± 3.8°, respectively, the values of the loss were 6.5% ± 4.0% and 3.9° ± 1.9°, respectively. Simple linear regression analysis and multivariate regression analysis showed that age, value of height correction, LSC scores and bone mineral density were significantly associated with the loss of vertebral height and kyphosis correction (P < .01) We could draw the conclusion that patients with older age, lower bone mineral density, higher LSC scores and diabetes are at higher risk of vertebral height and kyphosis correction loss increase. For these patients, appropriate clinical measures such as long segment fixation, control of blood glucose, and increase of bone density must be taken to reduce the loss of correction.
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Observational Study
Identification of key regulatory genes in the pathogenesis of COVID-19 and sepsis: An observational study.
Patients with severe COVID-19 and those with sepsis have similar clinical manifestations. We used bioinformatics methods to identify the common hub genes in these 2 diseases. Two RNA-seq datasets from the Gene Expression Omnibus were used to identify common differentially expressed genes (DEGs) in COVID-19 and sepsis. ⋯ We used bioinformatics tools to identify common DEGs, miRNAs, and transcription factors for COVID-19 and sepsis. The 5 identified hub genes had higher expression in validation cohorts of COVID-19 and sepsis. These genes had good or excellent diagnostic performance based on ROC analysis, and therefore have potential use as novel markers or therapeutic targets.