In order to improve and optimize drug use in children, a tool, consisting of a series of criteria to identify potentially inappropriate prescribing in children, was previously developed using a literature review and a two-round Delphi technique to prevent inappropriate prescriptions at the point of prescribing.
Exploring the prevalence and risk factors for potentially inappropriate prescriptions (PIP) in the pediatric inpatient setting.
A cross-sectional observational study, conducted retrospectively.
A children's hospital of tertiary level in China.
On the period of January 1st, 2021 to December 31st, 2021, children hospitalized with complete medical records, who also received drug treatment, and were discharged.
We analyzed medication prescriptions, employing a pre-established protocol for detecting PIP in hospitalized children. Logistic regression was subsequently used to explore the correlation between risk factors, such as sex, age, number of drugs, comorbidities, hospitalisation days, and admission departments, and PIP.
Hospitalized children, 16,995 in number, had 87,555 prescriptions analyzed, identifying 19,722 potential issues. The rate of PIP prevalence was a striking 2253%, and 3692% of children hospitalized experienced at least one PIP. The surgical department, exhibiting the highest prevalence of PIP (OR 9413; 95%CI 5521 to 16046), was followed by the paediatric intensive care unit (PICU) with a prevalence of PIP (OR 8206; 95%CI 6643 to 10137). Metabolism inhibitor The prevailing PIP among children with respiratory infections, excluding those with chronic respiratory diseases, was inhaled corticosteroids. Logistic regression findings highlighted a greater probability of PIP in male patients (OR 1128, 95% CI 1059–1202), younger patients (under 2 years old; OR 1974, 95% CI 1739–2241), and those with a higher number of comorbidities (11 types; OR 4181, 95% CI 3671–4761), concomitant medications (11 types; OR 22250, 95% CI 14468–34223), or extended hospital stays exceeding 30 days (OR 8130, 95% CI 6727–9827).
Minimizing and optimizing medications is crucial for long-term hospitalized young children with multiple comorbidities to prevent adverse drug reactions, reduce potential iatrogenic complications, and prioritize medication safety. The study's findings reveal a high prevalence of postoperative infections (PIP) specifically in the surgery department and the PICU of the hospital, which necessitates enhanced supervision and management within the scope of routine prescription review procedures.
For hospitalized young children facing multiple health challenges, minimizing and meticulously optimizing their long-term medication regimen is paramount to preventing adverse drug events, minimizing the potential for problematic drug interactions, and ensuring safe medication management. The studied hospital's surgery department and PICU encountered a significant incidence of pressure injuries (PIP), highlighting the need for focused supervision and management in routine prescription reviews.
A hallmark of Parkinson's disease (PD) is the high prevalence of depression, a non-motor symptom affecting up to 50% of individuals, which can result in a diverse array of psychiatric and psychological complications, adversely impacting quality of life and functional capacity. Metabolism inhibitor Several randomized, controlled trials (RCTs) have examined non-pharmaceutical interventions for Parkinson's Disease (PD) depression, yet the comparative advantages and disadvantages of these interventions are still unclear. In order to compare the efficacy and safety of different non-pharmacological interventions for depression in Parkinson's disease, a systematic review and network meta-analysis will be performed.
A comprehensive literature search across 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 will be conducted, encompassing all publications from their initial publication dates up to June 2022. English or Chinese publications will exclusively be considered for the scope of these studies. The primary indicators will involve changes in depressive symptoms, with secondary outcomes comprised of adverse effects on participants and their perceived quality of life. Two researchers will evaluate the methodological rigor of the included studies using the Cochrane Risk of Bias 20 Tool, after extracting data from documents that conform to the inclusion criteria according to the preset table. To conduct a systematic review and network meta-analysis, STATA and ADDIS statistical software will be employed. Using a combination of pairwise and network meta-analysis, the comparative efficacy and safety of different non-pharmacological interventions will be investigated, thereby providing robust conclusions. The Grading of Recommendations Assessment, Development and Evaluation system will be instrumental in determining the overall quality of the body of evidence for the key results. Comparison-adjusted funnel plots will be utilized for the publication bias assessment.
All the data required for this research project's execution will be drawn from published randomized controlled trials. As a literature-driven systematic review, this investigation does not require ethical approval. The research findings will be made available through peer-reviewed journal publications and national/international conference presentations.
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The objective of this study was to evaluate potential risk factors of academic burnout in adolescents amid the COVID-19 pandemic, with the subsequent development and validation of a predictive tool.
The article's subject matter is a cross-sectional investigation.
Two high schools in Anhui Province, China, were the subjects of this survey.
The study cohort comprised 1472 adolescents.
The questionnaires collected data on adolescents' demographic characteristics, their living and learning situations, and their levels of academic burnout. Risk factors for academic burnout were screened and a predictive model was developed through the use of both least absolute shrinkage and selection operator and multivariate logistic regression. Using receiver operating characteristic (ROC) curves and decision curve analysis (DCA), an evaluation of the nomogram's accuracy and discriminatory power was undertaken.
Academic burnout was reported by 2170 percent of the adolescent participants in this study. Logistic regression analysis of multiple variables revealed that 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), inadequate physical activity (less than 3 hours weekly, OR=1686, 95%CI 1032-2754, p=0.0037), insufficient sleep (under 6 hours nightly, OR=2342, 95%CI 1315-4170, p=0.0004), and low academic performance (under 400 score, OR=2180, 95%CI 1201-3958, p=0.0010) were independent risk factors for academic burnout. The training set demonstrated an ROC curve area under the curve of 0.686 using the nomogram, while the validation set showed 0.706. Metabolism inhibitor In addition, DCA highlighted the nomogram's effective clinical utility across both patient groups.
Adolescent academic burnout during the COVID-19 pandemic was effectively predicted by the newly developed nomogram. The importance of mental health and a healthy lifestyle for adolescents should be heavily emphasized as we face the next pandemic.
The pandemic's impact on adolescent academic burnout was effectively modeled through the development of a useful nomogram. Adolescent mental well-being and a healthy lifestyle must be given prominent consideration throughout the duration of any subsequent pandemic.
The presence of cardiovascular disease (CVD) is frequently associated with depression in patients. These conditions, when they occur together, frequently precipitate a worsening of life expectancy and a reduction in the quality of life. The interplay of these two diseases, a common observation in everyday practice, creates difficulties in managing patients. To enhance patient care, clinical practice guidelines (CPGs) seek to furnish the best available advice for clinical decision-making. This study will explore the capacity of clinical practice guidelines (CPGs) to effectively address depression in cardiovascular disease (CVD) patients and ascertain whether they provide actionable guidance for depression screening and management within primary and outpatient care contexts.
A systematic assessment of CVD management guidelines, published from 2012 through 2023, will be undertaken. 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. To be considered for additional points, instances of drug-drug or drug-disease interactions, supplementary insights from the perspective of treating physicians, and a summary of general information about mental health will be assessed. We will employ the Appraisal of Guidelines for Research and Evaluation II to meticulously evaluate CPGs on depression in cardiovascular patients, delivering a reasoned recommendation.
As the source material for this systematic review are published data, the need for ethical approval and patient consent does not arise. We intend to publish our results in peer-reviewed publications, present them at international scientific conventions, and distribute them to healthcare practitioners.
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Hyperglycaemia encountered during pregnancy has been found to increase the likelihood of women developing cardiovascular diseases (CVDs). Although research on the relationship between gestational diabetes mellitus (GDM) and later cardiovascular disease (CVD) has been synthesized, there are no comprehensive reviews focusing on this link in those without gestational diabetes.