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The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to construct predictive models and scoring systems for CHD using monocyte count and its ratio to high-density lipoprotein cholesterol (HDL-C) (MHR).
Population-based prospective cohort study.
The Shanghai Suburban Adult Cohort and Biobank (SSACB).
This prospective study included 44 013 CHD-free participants of the SSACB. The Songjiang subcohort served as the training set, in which three predictive models and corresponding scoring systems were developed with monocyte count or MHR using stepwise Cox regression. The models and algorithms were tested internally using 10-fold cross-validation and externally in the Jiading subcohort. Discriminations were assessed based on area under the curve (AUC) values, while calibrations were evaluated using the Hosmer-Lemeshow goodness-of-fit test.
During a mean follow-up period of 4.8 years, 883 CHD events occurred, with an incidence of 415.7/100 000. Monocyte count and MHR were significantly associated with the risk of CHD. The constructed model incorporating monocyte count (Model 2) achieved AUC values of 0.746 (0.726, 0.766) for 4-year CHD prediction in the training set, 0.746 (0.690, 0.796) in the cross-validation, and 0.717 (0.674, 0.761) in the external validation, comparable to the models including HDL-C (model 1) or MHR (model 3). Calibration plots demonstrated good agreement between predicted and actual probabilities. Similar results were observed for the corresponding scoring algorithms.
The monocyte-based model is a simple, low-cost and well-calibrated risk-stratification tool for CHD. However, the declined discrimination in external validation indicates limited generalisability. Prospective multicentre validation and recalibration are therefore warranted before clinical adoption.
To increase conceptual clarity regarding the self-management of school-age children and adolescents with chronic illnesses in a community context.
Concept Analysis: Rodgers' evolutionary approach.
Search conducted in the Cumulative Index to Nursing and Allied Health Literature, Psychology and Behavioural Sciences Collection, Nursing and Allied Health Collection, Academic Search Complete, Cochrane, Web of Science, Medical Literature Analysis and Retrieval System Online, Scopus, Repositório Científico de Acesso Aberto de Portugal, ProQuest Dissertations and Theses, Joanna Briggs Institute Evidence Synthesis. Thirty-one articles were identified, published between 2004 and 2023.
Followed the Enhancing the Quality and Transparency of Health Research guidelines—Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020.
Self-management in children and adolescents with chronic illness, in school age, in a community context, consists of a process of acquiring knowledge and beliefs that promote the self-efficacy of this population in developing skills to face needs inherent to the health condition.
Promoting self-management goes beyond simply educating for skill acquisition. Participants with stronger beliefs in their ability to control their behaviours are more successful in self-management. The activation of resources that position the child as an agent of change is recommended.
It contributes to the development of strategies that promote self-management across different healthcare disciplines, focusing on education and change, but also on psychological encouragement to foster confidence in change.
Competent self-management during childhood promotes autonomy, empowerment, and control of the condition, with consequent physical and emotional well-being, quality of life, family stability, and social development.
There was no direct contribution from patients or the public in this work (literature review).
The way communication is conducted directly influences the professional–patient relationship, how patients cope with their diagnosis, and their sense of hope throughout treatment. This study aims to map the literature on strategies that healthcare professionals can use to promote hope in communication with pediatric patients and their families in the context of chronic illness. Based on this objective, the study highlights an algorithm to assist healthcare professionals in instilling hope in this population through communication.
Scoping review.
This systematized review was conducted using the databases PubMed, LILACS, PsycInfo, Embase, CINAHL, and Scopus, employing the PCC framework and the Boolean operators AND and OR. The time frame was limited to the last 20 years (2004–2024). A total of 734 studies were identified across the databases, with an additional four retrieved through manual citation searches, resulting in 19 articles included in the final sample.
The findings highlight three key pillars for promoting hope in communication: (1) careful preparation for information delivery, which involves identifying the diverse needs of families and creating a physically comfortable and emotionally supportive environment; (2) providing information and emphasizing how it is presented—considering content, clarity, honesty, empathy, and adaptation to the recipient's specific needs; and (3) follow-up after information delivery, ensuring emotional support and active, skilled listening.
Interpersonal communication between the healthcare professional, the patient, and the family was mainly focused on the transmission of information about the disease and treatment in a clear and empathetic manner, considering who is receiving the information and how the information is interpreted.
This review provides guidance for healthcare professionals in implementing communication strategies that foster hope in the context of pediatric chronic illness. Additionally, this guide may serve as a model for training students and healthcare professionals. Further research is needed to implement and explore additional effective communication strategies for this population across diverse cultural settings.
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