Current medical research and opinion
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Peripheral Neuropathy (PN) can significantly impair quality of life, but often remains undiagnosed due to limited clinic time, lack of specialist expertise and lack of patient awareness. There are several validated questionnaires for diagnosing PN, but the time taken to administer them in busy primary care clinics limits their utilization. A new, simpler questionnaire was developed following an advisory board meeting in Southeast Asia and was further refined and translated to Portuguese and Spanish following a second advisory board meeting in Latin America. We consider current hurdles and propose a quick and reliable questionnaire that can be widely adopted to enable earlier diagnosis and improved management of PN in resource-limited settings in Latin America.
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Review
Pharmacology of chlorphenamine and pseudoephedrine use in the common cold: a narrative review.
The common cold is the most frequent upper respiratory viral infection. Although benign, it represents a high socioeconomic burden. Many over-the-counter drugs are available to manage the symptoms of this condition, with antihistamines and vasoconstrictors being the most widely used. ⋯ Chlorphenamine appears to exhibit a higher degree of efficacy in alleviating rhinorrhea and other specific cold symptoms compared to pseudoephedrine. Pharmacovigilance data and case report reviews showed that pseudoephedrine may induce a higher incidence of less common but potentially life-threatening adverse effects compared to chlorphenamine. We concluded that antihistamine drugs exhibit a more favorable benefit/risk profile than vasoconstrictors for treating symptomatic common colds.
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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.
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Type 2 diabetes mellitus (T2DM), responsible for most diabetes cases recorded worldwide, increases the risk of chronic wounds and amputation. Patients with T2DM appear to be more susceptible to delayed wound healing due to their treatment adherence. This review explores the specifics of polypharmacy, side effects, possible drug interactions and the importance of medication adherence for therapeutic efficacy. ⋯ Managing chronic wounds represents a substantial portion of healthcare expenditures. Biofilm-associated infections are difficult for the immune system to treat and respond inconsistently to antibiotics as these infections are slow growing and persistent. Additionally, we emphasize the critical role pharmacists play in enhancing patient adherence and optimizing diabetes treatment by offering comprehensive coverage of drugs associated with problems related to pharmacological therapy in type 2 diabetes.
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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.