PDF(Pubmed)
Abstract：
UNASSIGNED: China\'s medical system has not yet issued quality control indicators related to the transfer of critically ill children, and when transport teams receive a transfer request for these children, due to various reasons, the time to arrive at the bedside varies. The aim of this study was to investigate the effect of the time taken by the pediatric intensive care transport team to reach the bedside of children after receiving a transport request on the prognosis of these children.
UNASSIGNED: Clinical data of 298 critically ill children admitted to Anhui Children\'s Hospital through long-distance transport from March 2020 to February 2022 were retrospectively analyzed. Pediatric patients were divided into three groups according to the time taken by the transport team to reach the bedside after receipt of a transport request: the ≤60, >60 to ≤180, and >180 min groups. The 30-day mortality of children after admission (0= no, 1= yes) was used as the dependent variable for multivariate logistic regression analysis, with the odds ratio (OR) and 95% confidence interval (CI) indicating the relation between the time taken by the transport team to reach the bedside and the 30-day mortality rate after admission. P<0.05 indicated a statistically significant difference.
UNASSIGNED: During the study period, there were 298 children for whom transports were requested, 50 (16.8%) of whom died within 30 days after admission. The limited evidence revealed that the time taken by the transport team to reach the bedside of children was not significantly related to the 30-day mortality rate after admission in Anhui Children\'s Hospital (P>0.05).
UNASSIGNED: The time taken by the transport team to reach the bedside of children is not associated with the 30-day mortality rate after admission into the pediatric intensive care unit (PICU).
UNASSIGNED: Clinical data of 298 critically ill children admitted to Anhui Children\'s Hospital through long-distance transport from March 2020 to February 2022 were retrospectively analyzed. Pediatric patients were divided into three groups according to the time taken by the transport team to reach the bedside after receipt of a transport request: the ≤60, >60 to ≤180, and >180 min groups. The 30-day mortality of children after admission (0= no, 1= yes) was used as the dependent variable for multivariate logistic regression analysis, with the odds ratio (OR) and 95% confidence interval (CI) indicating the relation between the time taken by the transport team to reach the bedside and the 30-day mortality rate after admission. P<0.05 indicated a statistically significant difference.
UNASSIGNED: During the study period, there were 298 children for whom transports were requested, 50 (16.8%) of whom died within 30 days after admission. The limited evidence revealed that the time taken by the transport team to reach the bedside of children was not significantly related to the 30-day mortality rate after admission in Anhui Children\'s Hospital (P>0.05).
UNASSIGNED: The time taken by the transport team to reach the bedside of children is not associated with the 30-day mortality rate after admission into the pediatric intensive care unit (PICU).
摘要：
■中国医疗系统尚未发布与危重患儿转移相关的质量控制指标，当运输团队收到这些孩子的转移请求时，由于种种原因,到达床边的时间各不相同。这项研究的目的是调查儿科重症监护转运小组在收到转运请求后到达儿童床边的时间对这些儿童预后的影响。
■回顾性分析安徽省儿童医院2020年3月至2022年2月长途运输收治的298例危重患儿的临床资料。根据运输团队在收到运输请求后到达床边的时间将儿科患者分为三组：≤60，>60至≤180和>180分钟组。入院后30天儿童死亡率（0=否，1=是)用作多变量逻辑回归分析的因变量，比值比（OR）和95％置信区间（CI）表明运输团队到达床边的时间与入院后30天死亡率之间的关系。P<0.05表示有统计学意义的差异。
■在研究期间，有298名儿童被要求运输，其中50人（16.8%）在入院后30天内死亡。有限的证据表明,在安徽省儿童医院,运送小组到达患儿床边的时间与患儿入院后30d死亡率无显著相关性(P>0.05)。
■运输团队到达儿童床边的时间与进入儿科重症监护病房（PICU）后30天的死亡率无关。
■回顾性分析安徽省儿童医院2020年3月至2022年2月长途运输收治的298例危重患儿的临床资料。根据运输团队在收到运输请求后到达床边的时间将儿科患者分为三组：≤60，>60至≤180和>180分钟组。入院后30天儿童死亡率（0=否，1=是)用作多变量逻辑回归分析的因变量，比值比（OR）和95％置信区间（CI）表明运输团队到达床边的时间与入院后30天死亡率之间的关系。P<0.05表示有统计学意义的差异。
■在研究期间，有298名儿童被要求运输，其中50人（16.8%）在入院后30天内死亡。有限的证据表明,在安徽省儿童医院,运送小组到达患儿床边的时间与患儿入院后30d死亡率无显著相关性(P>0.05)。
■运输团队到达儿童床边的时间与进入儿科重症监护病房（PICU）后30天的死亡率无关。
