儿童和青少年的溺水和非致命溺水:随后的回顾性数据分析
Sebastian Berger1, Manuela Siekmeyer2, Stefanie Petzold-Quinque2
1Department of Women and Child Health, Hospital for Children and Adolescents, Division of Neuropediatrics, University of Leipzig, Liebigstraße 20a, 04103 Leipzig, Germany.
Children (Basel, Switzerland)
|April 27, 2024
概括
溺水仍然是儿童面临的重大风险,大多数事件发生在私人游泳池. 由于更好的护理,结果有所改善,但对年轻男性和有健康状况的人来说,监督仍然至关重要.
科学领域:
- 儿科急救医学 儿科急救医学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 溺水是导致儿童和青少年死亡和神经损伤的主要原因.
- 莱比锡的先前研究 (1994-2008) 确定了溺水事件的基线趋势.
- 需要十年的数据来评估风险因素,治疗方法和结果最近的变化.
研究的目的:
- 分析儿童溺水风险因素,治疗方法和结果的趋势,从2008年至2020年.
- 将当前数据与莱比锡大学先前的一项研究进行比较.
- 在溺水事件中确定患者结果的预后参数.
主要方法:
- 在莱比锡大学儿科 (2008-2020年) 的47名儿科住院患者 (0-18岁) 的回顾性分析,ICD-10代码为T75.1.
- 将数据与同一个机构先前的研究进行比较.
- 检查临床参数对患者结果的预后价值.
主要成果:
- 平均每年有三起溺水事件,平均年龄为2.75岁,76%是男性. 事件在夏季和周末达到顶峰.
- 最常见的地点是私人池/游泳池 (48.9%). 39名儿童在没有发病的情况下出院,4名儿童有损伤,3名儿童死亡.
- 与之前的研究相比,住院时间,发病率和死亡率下降. 改善了初级保健和文档记录.
结论:
- 年龄,性别和事件特征等危险因素仍然存在. 加强监督对于年轻男性和在私人水体附近有先前存在的疾病的儿童至关重要.
- 改善的结果表明医疗护理和文档方面的进步. 确定了良好的结果的预测指标.
- 建议通过标准化报告 (Utstein-style) 和更广泛的患者纳入进行进一步的研究,以完善溺水流行病学和治疗评估.
相关概念视频
Longitudinal Research
12.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.0K
Assumptions of Survival Analysis
125
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
125
Observational Studies
8.5K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.5K
Introduction To Survival Analysis
221
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
221
Statistical Methods for Analyzing Epidemiological Data
363
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
363
Introduction to Epidemiology
722
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
722


