Current medical research and opinion
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This retrospective, real-world claims database analysis described the clinical burden and healthcare resource utilization (HCRU) among patients with sickle cell disease (SCD) with recurrent vaso-occlusive crises (VOCs) in France. ⋯ Patients with SCD with recurrent VOCs in France have substantial clinical complications, mortality, and HCRU despite currently available treatment options. Innovative treatments that reduce frequency of or eliminate VOCs are needed to alleviate the burden associated with SCD.
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With the rising incidence and mortality rates of stroke, understanding the knowledge, attitudes, and practices (KAP) of patients with hyperlipidemia towards stroke is crucial for improving their health management and preventing stroke. This study aimed to investigate the KAP of patients with hyperlipidemia towards stroke. ⋯ Our study reveals that patients with hyperlipidemia exhibit a concerning gap in their understanding of stroke, despite holding positive attitudes and displaying suboptimal preventive practices.
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To evaluate quality of life, migraine disability, and work productivity and activity impairment in patients with migraine who received preventive treatment by comparing standard of care preventive medications and calcitonin gene-related monoclonal antibodies (CGRP mAbs), including galcanezumab alone. ⋯ Patients with migraine in the overall population and Europe who received 3+ lines of preventive migraine therapy and were receiving CGRP mAbs/galcanezumab demonstrated enhanced HRQoL compared to those who received standard of care.
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The purpose of this study was to conduct a systematic investigation of the potential of artificial intelligence (AI) models in the prediction, detection of diagnostic biomarkers, and progression of diabetic kidney disease (DKD). In addition, we compared the performance of non-logistic regression (LR) machine learning (ML) models to conventional LR prediction models. ⋯ ML models showed solid DKD prediction effectiveness, with pooled AUROC values over 0.8, suggesting good performance. These data demonstrated that non-LR and LR models perform similarly in overall CKD management, but the RF model outperforms the LR model, particularly in predicting the occurrence of DKD. These findings highlight the promise of AI technologies for better DKD management. To improve model reliability, future study should include extended follow-up periods as well as external validation.
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The purpose of this narrative review is to analyze the most recent studies about the role of C-reactive protein (CRP) and procalcitonin (PCT), two of the main biomarkers of infection, in distinguishing viral from bacterial etiology, in predicting the severity of infection and in guiding antibiotic stewardship in children with community-acquired pneumonia (CAP). The studies examined reveal that both CRP and PCT play a valuable role in diagnosing pediatric CAP, though each has limitations. ⋯ However, even though CRP and PCT offer valuable insights into the diagnosis and management of pediatric CAP, their application should be always integrated with clinical assessment rather than used in isolation. More studies are needed to define standardized thresholds and decision algorithms that incorporate these biomarkers.