In an effort to improve and optimize the utilization of medication in children, we previously developed a tool, including a set of criteria to identify potentially inappropriate prescriptions in children, through a literature review and a two-round Delphi approach, for the purpose of mitigating inappropriate medication prescriptions during the prescribing process.
Assessing the rate of potentially inappropriate prescriptions (PIPs) among hospitalized children, and examining the factors contributing to the use of potentially inappropriate prescriptions.
A cross-sectional study employing a retrospective design.
Within China's healthcare infrastructure, a specialized tertiary hospital serves the needs of children.
Children hospitalized between January 1st and December 31st, 2021, who received medication and had complete medical records, were discharged.
We assessed medication prescriptions using pre-established criteria to determine the prevalence of PIP in hospitalized children. Logistic regression was employed to identify risk factors for PIP, including sex, age, the number of medications, comorbidities, length of hospitalization, and admitting department, in this pediatric population.
Among 16,995 hospitalized children, a total of 87,555 medication prescriptions were reviewed, uncovering 19,722 potential issues. The prevalence of PIP among hospitalized children reached 2253%, while 3692% had at least one PIP experience during their hospitalization. The surgical department displayed the maximum PIP prevalence (OR 9413; 95%CI 5521 to 16046), followed by the paediatric intensive care unit (PICU) which registered a PIP prevalence of (OR 8206; 95%CI 6643 to 10137). BAY 2731954 The most prevalent PIP amongst children with respiratory infections, yet without chronic respiratory diseases, was inhaled corticosteroids. Logistic regression models revealed a link between PIP and male gender (OR 1128, 95% CI 1059–1202), pediatric age (<2 years old; OR 1974, 95% CI 1739–2241), multiple comorbidities (11 types; OR 4181, 95% CI 3671–4761), concurrent drug regimens (11 types; OR 22250, 95% CI 14468–34223), and a prolonged hospital stay of 30 days (OR 8130, 95% CI 6727–9827).
Minimizing and optimizing the medication regimen of long-term hospitalized young children with multiple comorbidities is paramount for avoiding adverse drug reactions and iatrogenic problems, along with ensuring their overall medication safety. The high incidence of postoperative infections (PIP) in the surgery department and PICU of the studied hospital demands prioritization in routine prescription reviews and subsequent supervisory interventions.
A careful minimization and optimization of long-term medication regimens is necessary for hospitalized young children with multiple health conditions to reduce the risk of adverse drug reactions, minimize problematic drug interactions, and promote medication safety Pressure injuries (PIP) were prevalent in the surgery department and PICU at the hospital under study, demanding a concentrated focus on supervision and management within the framework of routine prescription evaluations.
A substantial proportion (up to 50%) of individuals with Parkinson's disease (PD) experience depression, a prominent non-motor symptom, which can result in a range of psychiatric and psychological issues, profoundly impacting quality of life and overall functioning. BAY 2731954 While numerous randomized, controlled trials (RCTs) have evaluated non-drug approaches for managing depression in Parkinson's Disease (PD), the relative efficacy and adverse effects of these treatments are still poorly understood. Through a combined systematic review and network meta-analysis, we aim to compare the efficacy and safety of various non-pharmacological treatments for patients with Parkinson's disease depression.
From their initial publication dates until June 2022, we will conduct a thorough search of PubMed, Web of Science, Cochrane, Embase, Google Scholar, the Chinese National Knowledge Infrastructure, the Chinese Biomedical Literature Database, WanFang Data, and the Chongqing VIP Database. English or Chinese publications will exclusively be considered for the scope of these studies. Tracking changes in depressive symptoms constitutes the primary outcome, with secondary outcomes including the occurrence of adverse effects and the impact on participants' quality of life. Per the pre-defined table, two researchers will extract data from documents aligning with the inclusion criteria, concurrently evaluating the methodological quality of the included studies using the Cochrane Risk of Bias 20 Tool. For the purpose of a systematic review and network meta-analysis, the statistical software STATA and ADDIS will be used. Employing a combined strategy of pairwise and network meta-analysis, a comprehensive evaluation of the efficacy and safety of different non-pharmacological interventions will be performed, ensuring the robustness of the conclusions. The Grading of Recommendations Assessment, Development and Evaluation system's application will be crucial for evaluating the overall quality of the evidentiary body related to the core findings. Comparison-adjusted funnel plots will be employed in order to conduct the publication bias assessment.
The entirety of the data for this research effort will originate from reports of randomized controlled trials. This literature-based systematic review does not necessitate ethical approval. Publications in peer-reviewed journals and presentations at national and international conferences will be used to disseminate the results.
CRD42022347772, please return this document.
CRD42022347772 is a document that needs to be handled.
This study aimed to identify potential risk factors contributing to academic burnout among adolescents during the COVID-19 pandemic, leading to the development and validation of a predictive model.
This article's focus is a cross-sectional study.
This study focused on a survey of two high schools located in Anhui Province, China.
In this study, 1472 adolescents participated.
The questionnaires measured demographic characteristics, adolescents' living and learning environments, and their levels of academic burnout. A predictive model for academic burnout was constructed using least absolute shrinkage and selection operator and multivariate logistic regression analyses to pinpoint the contributing risk factors. The nomogram's accuracy and discriminatory power were quantified using receiver operating characteristic (ROC) curves and decision curve analysis (DCA).
A notable 2170 percent of adolescents in this study experienced or reported academic burnout. Multivariable logistic regression analysis identified independent risk factors for academic burnout, including single-child families (OR=1742, 95%CI 1243-2441, p=0.0001), domestic violence (OR=1694, 95%CI 1159-2476, p=0.0007), excessive online entertainment (over 8 hours daily, OR=3058, 95%CI 1634-5720, p<0.0001), insufficient physical activity (less than 3 hours weekly, OR=1686, 95%CI 1032-2754, p=0.0037), inadequate sleep (less than 6 hours nightly, OR=2342, 95%CI 1315-4170, p=0.0004), and low academic performance (below 400 score, OR=2180, 95%CI 1201-3958, p=0.0010), as determined by the analysis. A calculation of the area under the ROC curve, based on the nomogram, produced a value of 0.686 in the training dataset and 0.706 in the validation dataset. BAY 2731954 Furthermore, the nomogram's clinical value was demonstrated by DCA for both sets of patients.
A valuable predictive nomogram for adolescent academic burnout was developed during the COVID-19 pandemic. It is imperative that we underscore the importance of mental wellness and a healthy lifestyle for adolescents in the face of the next pandemic.
The nomogram demonstrated its utility as a predictive model for academic burnout among adolescents during the COVID-19 pandemic. Promoting mental health and a healthy lifestyle among teenagers is indispensable for navigating the inevitable future pandemic.
Patients suffering from cardiovascular disease (CVD) are susceptible to depression. Simultaneous occurrence of these conditions frequently results in a decline in both life expectancy and quality of life. This pervasive disease-disease interaction, a frequent occurrence in everyday practice, adds complexity to patient care. The aim of clinical practice guidelines (CPGs) is to optimize patient care by offering the best available advice for clinical decision-making. The primary focus of this study is to evaluate the effectiveness of clinical practice guidelines (CPGs) in tackling depression in patients presenting with cardiovascular disease (CVD), and whether they provide any actionable strategies for depression screening and management within the outpatient and primary care settings.
A systematic review of the literature on CPGs for CVD management, spanning the period 2012 to 2023, will be performed. A thorough search for relevant guidelines on depression in patients with cardiovascular disease will encompass electronic medical databases, gray literature search engines, and the websites of national and professional medical organizations. The evaluation process will incorporate any mentions of drug-drug or drug-disease interactions, further aspects of importance to treating physicians, and fundamental knowledge regarding mental health. Employing the Appraisal of Guidelines for Research and Evaluation II, we will evaluate CPGs for depression in CVD patients, providing a recommendation on quality.
Due to the reliance on existing published data, ethical approval and informed consent procedures are irrelevant for this systematic review. Our goal is for our research outcomes to be published in a peer-reviewed journal, showcased at international scientific meetings, and disseminated to healthcare practitioners.
The study CRD42022384152 is requested to be returned.
The subject of the request is CRD42022384152, and a return is expected.
Hyperglycaemia encountered during pregnancy has been found to increase the likelihood of women developing cardiovascular diseases (CVDs). While the research on the connection between gestational diabetes mellitus (GDM) and future cardiovascular disease (CVD) has been assembled, no systematic reviews have considered the relationship within the non-GDM population.
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