在患有或没有先前并发症的儿童急诊后的死亡率:一项基于全国人口的队列研究
Vibe Maria Laden Nielsen1,2, Morten Breinholt Søvsø3, Regitze Gyldenholm Skals4
1Centre for Prehospital and Emergency Research, Department of Clinical Medicine, Aalborg University and Aalborg University Hospital, Selma Lagerløfs Vej 249, Gistrup, 9260, Denmark. vibe.n@rn.dk.
概括
许多需要紧急医疗服务的儿童死于创伤或心脏骤停以外的疾病. 医疗症状,而不仅仅是创伤或儿科医院外心脏骤停 (POHCA),是儿童死亡率的重要因素,特别是对于那些患有并发病的人来说.
科学领域:
- 紧急医疗 紧急医疗
- 儿科重症监护 儿科重症监护 儿科重症监护
- 公共卫生 公共卫生
背景情况:
- 危及生命的疾病在儿童中很罕见.
- 儿科医院前研究主要集中在创伤和儿科医院外心脏骤停 (POHCA) 上.
- 了解导致儿科紧急呼叫的各种情况及其与死亡率的关联至关重要.
研究的目的:
- 确定创伤,POHCA和其他医疗症状在儿童紧急呼叫幸存者和非幸存者的分布.
- 分析这些临床表现和儿童死亡率之间的关系,考虑先前存在的并发症.
主要方法:
- 丹麦从2016年到2021年进行了一项基于全国人口的队列研究.
- 数据包括15岁以下儿童的所有紧急呼叫,不包括医院间转移.
- 考克斯回归模型被用来评估临床表现和7天死亡率之间的关联,按并发症状况分层.
主要成果:
- 该研究分析了76,956名独特的患者,每年所有原因的死亡率为每10万名儿童中有7人.
- 在没有并发症的非幸存者中,POHCA占紧急呼叫的46.3%,而具有并发症的人为27.6%.
- 医疗症状,不包括POHCA,在没有并发症的非幸存者中占28.9%,在并发症患者中占55.2%.
结论:
- 显著比例的儿科紧急呼叫,特别是在患有并发症的非幸存者中,是由于医疗症状而不是创伤或POHCA.
- 这些发现强调了在儿科紧急情况准备和培训中解决更广泛的医疗状况的重要性.
- 该研究提供了有价值的数据,用于在紧急医疗服务中指导儿科在职培训.
相关概念视频
Pneumonia III: Complications and Assessment
202
Pneumonia poses the potential for numerous complications that warrant consideration. These complications include the following:
202
Actuarial Approach
75
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
75
Pneumonia I: Introduction
221
Pneumonia is an acute respiratory infection that targets the lungs, specifically the alveoli. These tiny air sacs, essential for oxygen exchange, become engorged with pus and fluid, severely hindering breathing, decreasing oxygen absorption, and causing significant pain and discomfort during respiration.
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
Risk Factors
Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...
221
Introduction To Survival Analysis
220
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...
220
Assumptions of Survival Analysis
123
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.
123
Cancer Survival Analysis
343
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
343


