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BACKGROUND: Acute appendicitis in children refers to the acute inflammation of the appendix, which accounts for 20% â¼ 30% of cases of acute abdomen in pediatric surgery. OBJECTIVE: This study aimed to establish a decision tree model of complicated appendicitis in children using appendiceal ultrasound combined with an inflammatory index and evaluated its clinical efficacy in pediatric patients. METHODS: A total of 395 children admitted to the Emergency Department of the Shanghai Children's Hospital from January 2018 to December 2021 and diagnosed with appendicitis by postoperative pathology were retrospectively analyzed. According to the postoperative pathology, the children were divided into a complicated and non-complicated appendicitis group, respectively. Routine laboratory inflammatory indicators, including white blood cell count, N(%), neutrophil (Neu) count, Neu/lymphocyte ratio (NLR), C-reactive protein (CRP), and procalcitonin were collected from the two groups. Collecting data on ultrasound examination of the appendix includes whether the appendix diameter is thickened, whether the echogenicity of the mesenteric rim surrounding the appendix is enhanced, whether there is rich blood supply in the appendix, and whether there are fecaliths in the appendix lumen. The risk factors for complicated appendicitis were screened out by univariate and multivariate logistic regression analyses, the binary logistic regression prediction and decision tree models were established, respectively, and the receiver operating characteristic (ROC) curve was used to verify the accuracy of the two prediction models. RESULTS: Binary logistic regression analysis showed that CRP, NLR, the presence of an appendicolith, and peripheral retina echo enhancement were independent risk factors for complicated appendicitis in children (P< 0.05). The decision tree model had an overall accuracy of 79%, an area under the ROC curve (AUC) of 0.809 (95% confidence interval [CI] 0.780-0.865), and sensitivity and specificity of 71.3% and 77.7%, respectively. The logistic regression model had an overall accuracy of 74.9%, an AUC value of 0.823 (95% CI, 0.765-0.853), a sensitivity value of 80.3%, and a specificity of 71.8%. CONCLUSION: This predictive model, based on ultrasound of the appendix combined with inflammatory markers, provides a useful method to assist pediatric emergency physicians in diagnosing childhood appendicitis. The decision tree model reflected the interaction of various indexes, and the model was simple, intuitive, and effective.
Asunto(s)
Apendicitis , Humanos , Niño , Apendicitis/diagnóstico por imagen , Apendicitis/cirugía , Estudios Retrospectivos , China , Recuento de Leucocitos , Sensibilidad y Especificidad , Proteína C-Reactiva/análisisRESUMEN
Objective: High altitude heart disease (HAHD) is a common pediatric disease in high altitude areas. It usually occurs in people who have lived for a long time or have lived for more than 2500m above sea level. Its common inducement is respiratory tract infection. The clinical differential diagnosis is difficult because the symptoms of HAHD are similar to those of congenital heart disease; Due to the limitation of medical conditions, many patients are in the state of losing follow-up or not seeking medical treatment, resulting in poor prognosis of HAHD and becoming a high-altitude disease with high mortality. Clarifying the molecular mechanism of HAHD, developing early molecular screening technology and accurate treatment methods of HAHD are the key to improve the ability of prevention and treatment of HAHD. Methods: First, the literature in the PubMed and CNKI databases were screened based on keywords and abstracts. Then, the literature for the study was identified based on the fitness between the content of the literature, the research objectives, and the timeliness of the literature. Finally, a systematic molecular mechanism of HAHD was established by investigating the literature and sorting out the genetic adaptations of Tibetan populations compared with low-altitude populations that migrated to the plateau. Results: With the investigation of the 48 papers screened, it was found that genes capable of enhancing the hypoxic ventilatory response and resistance to pulmonary hypertension were all correlated with the hypoxia-inducible factor (HIF) pathway, consisting mainly of three pathways, HIF-1α, HIF-2α, and NO. Conclusion: The low prevalence of HAHD in Tibetan aboriginal children was mainly due to the genetic adaptation of the Tibetan population to the high altitude environment, which coordinated the cellular response to hypoxia by regulating the downstream hypoxia control genes in the HIF pathway.
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BACKGROUND: The number of elderly individuals with diabetes is dramatically increasing. Diabetes is a long-term condition and a noncommunicable disease and requires intensive daily self-management. Understanding of self-management from the patients' perspectives is important to nurses, healthcare providers, and researchers and benefits people by improving their self-management skills. AIM: To examine and synthesize qualitative studies that explore the experiences of elderly people in self-managing diabetes. METHODS: Electronic databases were searched, including MEDLINE, CINAH, PsycINFO, PubMed, CNKI, and WANFADATA. Relevant research was identified by manually searching reference lists and gray literature. Only English and Chinese publications were included. The Critical Appraisal Skills Program was used to assess the quality of the research. The Confidence in the Evidence from Reviews of Qualitative research approach was used to assess the confidence of the findings. RESULTS: A total of 10 qualitative studies were included, and content analysis was performed. Five themes were identified: The need for knowledge about diabetes care, support systems, functional decline, attitudes toward diabetes, and healthy lifestyle challenges. CONCLUSION: This present review provides a deep and broad understanding of the experiences in the self-management of diabetes and can be valuable to nursing practice and provide recommendations for future research.