Medicine
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Pain is a widespread and troubling clinical and social problem with important effects on society and individuals. The purpose is to assess the relationship between pain and eating behavior, macro-micronutrient intake, and dietary inflammation index. The study was carried with a total of 80 patients, consisting of 40 patients diagnosed with pain and 40 patients not diagnosed with pain, who applied to a private hospital in Istanbul as outpatients with a questionnaire face-to-face consisting of questions about sociodemographic characteristics, anthropometric measurements, pain-related information, Eating Attitude Test (EAT-19), and 24-hour food consumption record. ⋯ No difference was detected between the case-control groups with disrupted eating attitudes regarding the median DII score (P > .05). The median DII score was significantly higher in individuals with pain and normal eating attitudes than in those without pain and with disrupted eating attitudes (P < .05). There is a relationship between pain, eating attitudes, and DII, the median DII score of those who had pain and had normal eating attitudes was higher.
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In the context of the development of intervertebral disc degeneration (IDD), inflammatory mediators play a pivotal role. Nevertheless, due to the influence of the inflammatory microenvironment, the causal relationship between specific inflammatory mediators and the development of IDD remains uncertain. The understanding of the causal relationship between inflammatory mediators and IDD is of great importance in preventing and delaying disc degeneration in the future. ⋯ Elevated levels of MIP-1β (OR = 0.956, 95% CI: -0.08 to -0.006; P = .02) and IFN-G (OR = 0.915, 95% CI: -0.16 to -0.02; P = .01) expression were associated with a reduced risk of IDD. Conversely, genetic susceptibility to IDD was linked to a decrease in IL-13 levels (OR = 0.967, 95% CI: -0.063 to -0.004; P = .03). In this study, we have identified inflammatory factors that exhibit a causal relationship with the onset and progression of IDD, as supported by genetic predictions.
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Previous studies have reported correlations between metabolic factors and abdominal aortic calcification (AAC). However, the causal relationship between blood metabolites and AAC remains to be fully explored. We employed bidirectional two-sample Mendelian randomization (MR) to investigate the potential causal relationships between 486 blood metabolites and AAC. ⋯ Reverse MR analysis revealed an alteration in 12 blood metabolites due to AAC, including caffeine, 1,7-dimethylurate, arachidonic acid, and 1-arachidonoylglycerophosphocholine. This study provides evidence supporting a causal relationship between metabolites and AAC. These findings help elucidate the underlying biological mechanisms of AAC and may offer insights into screening, prevention, and treatment approaches.
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Observational Study
The relationship between the technical performance score (TPS) and outcomes and its discriminative ability in congenital heart surgery.
Various scoring systems have been used to predict mortality and morbidity after congenital heart surgery. While the ideal system is still controversial, the technical performance score (TPS) has recently gained popularity. In this study, was investigated the effect of the TPS in predicting mortality and morbidity in pediatric patients who underwent congenital heart surgery in our clinic. ⋯ The predictive power of TPS for mortality and morbidity was an area under the receiver operating characteristic curve (AUC) of 0.810 (95% CI: 0.79-0.839, P < .001) and 0.78 (95% CI: 0.76-0.80, P < .001), respectively. These values were similar to those of the Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery score (0.81 vs 0.83 and 0.78 vs 0.80 for mortality and morbidity, respectively). In patients with highly heterogeneous congenital heart disease, the use of intraoperative TPS may be helpful in predicting mortality and morbidity.
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To more accurately diagnose and treat patients with different subtypes of thyroid cancer, we constructed a diagnostic model related to the iodine metabolism of THCA subtypes. THCA expression profiles, corresponding clinicopathological information, and single-cell RNA-seq were downloaded from TCGA and GEO databases. Genes related to thyroid differentiation score were obtained by GSVA. ⋯ In addition, the diagnostic model was significantly negatively correlated with immune scores. Finally, the results of qRT-PCR corresponded with bioinformatics results. This diagnostic model has good diagnostic and prognostic value for THCA patients, and can be used as an independent prognostic indicator for THCA patients.