Current Medical Research and Opinion最新文献

The management of diabetes mellitus has undergone remarkable progress with the introduction of cutting-edge technologies in glucose monitoring and artificial pancreas systems. These innovations have revolutionized diabetes care, offering patients more precise, convenient, and personalized management solutions that significantly improve their quality of life. This review aims to provide a comprehensive overview of recent technological advancements in glucose monitoring devices and artificial pancreas systems, focusing on their transformative impact on diabetes care. A detailed review of the literature was conducted to examine the evolution of glucose monitoring technologies, from traditional invasive methods to more advanced systems. The review explores minimally invasive techniques such as continuous glucose monitoring (CGM) systems and flash glucose monitoring (FGM) systems, which have already been proven to enhance glycemic control and reduce the risk of hypoglycemia. In addition, emerging non-invasive glucose monitoring technologies, including optical, electrochemical, and electro-mechanical methods, were evaluated. These techniques are paving the way for more patient-friendly options that eliminate the need for frequent finger-prick tests, thereby improving adherence and ease of use. Advancements in closed-loop artificial pancreas systems, which integrate CGM with automated insulin delivery, were also examined. These systems, often referred to as "hybrid closed-loop" or "automated insulin delivery" systems, represent a significant leap forward in diabetes care by automating the process of insulin dosing. Such advancements aim to mimic the natural function of the pancreas, allowing for better glucose regulation without the constant need for manual interventions by the patient. Technological breakthroughs in glucose monitoring and artificial pancreas systems have had a profound impact on diabetes management, providing patients with more accurate, reliable, and individualized treatment options. These innovations hold the potential to significantly improve glycemic control, reduce the incidence of diabetes-related complications, and ultimately enhance the quality of life for individuals living with diabetes. Researchers are continually exploring novel methods to measure glucose more effectively and with greater convenience, further refining the future of diabetes care. Researchers are also investigating the integration of artificial intelligence and machine learning algorithms to further enhance the precision and predictive capabilities of glucose monitoring and insulin delivery systems. With ongoing advancements in sensor technology, connectivity, and data analytics, the future of diabetes care promises to deliver even more seamless, real-time management, empowering patients with greater autonomy and improved health outcomes.

Objective: 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.

Methods: Until January 30, 2024, a comprehensive literature review was conducted by investigating databases such as Medline (via PubMed) and Cochrane. Research that is inclusive of AI or ML models for the prediction, diagnosis, and progression of DKD was incorporated. The area under the Receiver Operating Characteristic Curve (AUROC) served as the principal outcome metric for assessing model performance. A meta-analysis was performed utilizing MedCalc statistical software to calculate pooled AUROC and assess the performance differences between LR and non-LR models.

Results: A total of 57 studies were included in the meta-analysis. The pooled AUROC of AI or ML model was 0.84 (95% CI = 0.81-0.86, p < 0.0001) for analyzing prediction of DKD, 0.88 (95%CI = 0.84-0.92, p < 0.0001) for detecting diagnostic biomarkers, and 0.80 (95% CI = 0.77-0.82, p < 0.0001) for analyzing progression of DKD. The pooled AUROC of LR and non-LR ML models exhibited no significant differences across all categories (p > 0.05), except for the random forest (RF) model, which displayed a statistically significant increase in predictive accuracy compared to LR for DKD occurrence (p < 0.04).

Conclusion: 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.

Objective: 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.

Methods: A cross-sectional study was conducted at the First Hospital of Hebei Medical University between November 2, 2023, and December 31, 2023. Demographic information and KAP scores of the participants were collected via questionnaire administration.

Results: In this study, a total of 385 patients diagnosed with hyperlipidemia were included. Among them, 211 (54.8%) were male, and 214 (55.6%) had been dealing with hyperlipidemia for less than one year. Multivariate analyses showed that age greater than or equal to 55 years (OR = 4.016, 95% CI: [2.128,7.579], p < .001) and attitude score greater than or equal to 21 (OR = 5.673, 95% CI: [3.432,9.376], p < .001) were independently associated with proactive practice. Mediation analysis showed that knowledge directly affected the attitude (β = 0.637, p = .010) and attitude directly affected the practice (β = 0.721, p = .010). Meanwhile, the direct effect of knowledge on practice was not significant (β = -0.059, p = .438), however, knowledge was found to indirectly affected practice through attitude (β = 0.459, p = .010).

Conclusion: 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.

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. This review aimed to compare the potential mechanisms underlying the efficacy and safety of chlorphenamine and pseudoephedrine, the most commonly used agents in these two classes of drugs, and provide a useful perspective to impact appropriate decisions when considering these options for symptomatic common cold treatment. To conduct a comprehensive analysis, we systematically reviewed the use of pseudoephedrine and chlorphenamine using various databases, including MEDLINE, Google Scholar, Scopus, and Embase. We also perused the bibliographies of relevant articles and the EudraVigilance database. The findings suggest that pseudoephedrine may offer specific benefits in rapidly alleviating nasal congestion in the short term. 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.

Objective: To analyze the clinical and economic consequences of the progression to castration-resistant status for patients with metastatic hormone-sensitive prostate cancer (mHSPC) and metastatic castration-resistant prostate cancer (mCRPC) in South Korea.

Methods: This retrospective cohort study was conducted using National Health Insurance claims data from 2013 to 2021. Patients defined as newly diagnosed with mHSPC had an index date of first claim for metastatic PC between 2015 and 2016 and no exposure to CRPC medicines during the washout period. All-cause monthly medical and end-of-life costs were described for mHSPC and mCRPC. Descriptive statistics were used to analyze medical costs, and generalized estimating equations were used to evaluate the correlation between medical costs and significant variables, including disease progression, death, and clinical characteristics.

Results: Of the 3,739 patients with mHSPC included (mean 72.9 years), 779 progressed to mCRPC. The overall study population underwent a median 60.48-month follow-up period. The average monthly medical cost depending on CRPC progression was 1.5 times higher in the mCRPC than in the mHSPC group ($1,734.2 vs. $1,185.4). Monthly medical costs for those who progressed to mCRPC were 2.4 times higher one year after progression than one year before. In all groups, the average total medical costs gradually increased near mortality. Disease progression and death had a significant correlation with medical costs, by 1.7 times and 2.46 times, respectively.

Conclusion: This study highlights the economic and health benefits of preventing progression to castration resistance in patients with mHSPC based on real-world data.

Cancer remains a major global cause of death, posing significant treatment challenges. The interactions between tumor cells and the tumor microenvironment (TME) are crucial in influencing tumor initiation, progression, metastasis, and treatment response. There has been significant research and clinical interest in targeting the TME as a therapeutic approach in cancer, with advancements being made through drug development. Histamine binds to HRH1 receptors on the TME, which inhibit CD8+ T cell activity, promote tumor growth, and contribute to resistance against immunotherapy. By inhibiting CD8+ T cells, the effectiveness of immunotherapies targeting these cells is reduced. By blocking the HRH1 pathway, H1-antihistamines can mitigate this suppression and enhance the response to immunotherapies that target CD8+ T cells. Therefore, understanding the role of histamine and its potential impact on T cells and the role of H1-antihistamines in improving immune-oncology (I/O) agents' efficacy ultimately could lead to more effective cancer therapies. The objective of this review is to examine the current literature to investigate the potential role of H1-antihistamines on the effectiveness of I/O drugs and their role in enhancing treatment against cancer. We conducted a comprehensive literature search, which included multiple databases including PubMed, Google Scholar, and EMBASE, as well as a search of oncology congresses. Our literature review initially identified thirty studies. Twenty-three of these were excluded for failing to meet inclusion criteria, which varied from study design to the type of antihistamines and patient populations involved. The clinical studies investigated the effect of different generations of H1-antihistamines in combination with I/O treatments on patients' outcomes. The findings from these studies indicated that patients using H1-antihistamines concomitantly with I/O agents experienced longer median overall survival (mOS), progression-free survival (mPFS), or improved survival compared to those who did not use antihistamines. Additionally, these trials differentiated between cationic and non-cationic H1-antihistamines, revealing that users of cationic antihistamines had overall better outcomes in terms of longer mOS and mPFS. The assessed trials were consistent in their comparisons of quantitative and qualitative, efficacy, and safety outcomes.

Cerebral venous thrombosis (CVT) is an uncommon cause of stroke. COVID-19 infection and vaccination have been associated with CVT. Fibrinolysis and mechanical thrombectomy may play an emerging role in management. We conducted a literature review summarizing current evidence on use of antiplatelets, anticoagulants, thrombolysis, and mechanical thrombectomy for the management of CVT and COVID-19 related CVT. This was achieved through a review of MEDLINE, PubMed, and Cochrane Reviews databases, performed using the search terms CVT AND "antiplatelets' aspirin", "ticagrelor", "clopidogrel", "eptifibatide", "Low-molecular-weight-heparin (LMWH)", "Unfractionated heparin (UH)", "warfarin", "DOACs", "rivaroxaban", "apixaban", "dabigatran", "fibrinolysis", "intra-sinus thrombolysis", "mechanical thrombectomy", and "craniectomy". We found that LMWH and UH are safe and effective for the management of acute CVT and should be considered first line. Warfarin may be used in the sub-acute phase for secondary prevention but has weak evidence. DOACs are potentially a safe warfarin alternative, but only warfarin is currently recommended in international guidelines. Antiplatelets show little evidence for the prevention or management of CVT, but studies are currently limited. COVID-19 related CVT is treated similarly to non-COVID-19 CVT; however, vaccine-related CVT is a newly recognised disease with a different pathophysiology and is treated with a combination of non-heparin anticoagulants, immunotherapy, and steroids. Decompressive craniectomy may be used to reduce intracranial pressure in life-threatening cases. There is a small body of evidence for endovascular therapy in complex cases but should be reserved for complex cases in specialist centres. This paper is of relevance to clinical practice since the safe and effective management of CVT is important to reduce the risk of disability.

Objective: 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.

Methods: The French National Health Data System database (système national des données de santé) was used to identify eligible patients from 1 January 2012 to 1 March 2019. Inclusion criteria were a SCD diagnosis, ≥2 VOCs/year for ≥2 consecutive years following the diagnosis, and ≥1 year of follow-up data to 1 March 2020. Patients with hereditary persistence of fetal hemoglobin or hematopoietic stem cell transplant in their medical records were excluded. Clinical complications, mortality, treatment use, and HCRU were evaluated during follow-up.

Results: Overall, 4602 patients with SCD with recurrent VOCs were eligible; their mean (standard deviation [SD]) age was 19.8 (13.5) years, and 51.8% were female. Patients experienced a mean (SD) of 3.82 (3.57) VOCs per patient per year (PPPY). Prevalent complications were anemia or leukocytosis (44.1%), infections (42.0%), and organ failure (38.2%). In total, 101 (2.2%) patients died during follow-up (mean age of death [SD]: 39.3 [17.5] years; mortality rate: 0.64 deaths per 100 person-years). Most patients received opioids (89.1%) and hydroxycarbamide (72.8%). Patients had a mean of 5.7 inpatient hospitalizations, 6.0 emergency room visits, 6.6 outpatient visits, and 13.4 outpatient prescriptions PPPY.

Conclusions: 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.

Introduction: Eosinophilic granulomatosis with polyangiitis (EGPA) is a multisystemic, immune-mediated disease that occurs in patients with asthma and eosinophilia. It is characterized by inflammation of small and medium-caliber blood vessels.

Case report: In this report we present an unusual clinical case of EGPA with positive anti-neutrophil cytoplasmic antibodies who manifested bilateral pleural effusion. The diagnosis was confirmed through laboratory assessments and bronchial biopsies. The patient was treated with methylprednisolone showing improvement in symptoms.

Conclusions: our case appears interesting considering the limited evidence of pleural effusion in patients with EGPA documented in the literature.