Emergency and Trauma Centre, The Alfred Hospital, Melbourne, Australia.
National Trauma Research Institute, The Alfred Hospital, 85-89 Commercial Rd, Melbourne, VIC, 3004, Australia.
World J Surg. 2019 Oct;43(10):2426-2437. doi: 10.1007/s00268-019-05039-2.
The completeness of a trauma registry's data is essential for its valid use. This study aimed to evaluate the extent of missing data in a new multicentre trauma registry in India and to assess the association between data completeness and potential predictors of missing data, particularly mortality.
The proportion of missing data for variables among all adults was determined from data collected from 19 April 2016 to 30 April 2017. In-hospital physiological data were defined as missing if any of initial systolic blood pressure, heart rate, respiratory rate, or Glasgow Coma Scale were missing. Univariable logistic regression and multivariable logistic regression, using manual stepwise selection, were used to investigate the association between mortality (and other potential predictors) and missing physiological data.
Data on the 4466 trauma patients in the registry were analysed. Out of 59 variables, most (n = 51; 86.4%) were missing less than 20% of observations. There were 808 (18.1%) patients missing at least one of the first in-hospital physiological observations. Hospital death was associated with missing in-hospital physiological data (adjusted OR 1.4; 95% CI 1.02-2.01; p = 0.04). Other significant associations with missing data were: patient arrival time out of hours, hospital of care, 'other' place of injury, and specific injury mechanisms. Assault/homicide injury intent and occurrence of chest X-ray were associated with not missing any of first in-hospital physiological variables.
Most variables were well collected. Hospital death, a proxy for more severe injury, was associated with missing first in-hospital physiological observations. This remains an important limitation for trauma registries.
创伤登记处数据的完整性对于其有效使用至关重要。本研究旨在评估印度一个新的多中心创伤登记处数据缺失的程度，并评估数据完整性与数据缺失的潜在预测因素（尤其是死亡率）之间的关系。
从 2016 年 4 月 19 日至 2017 年 4 月 30 日期间收集的数据中，确定所有成年人中变量的缺失数据比例。如果初始收缩压、心率、呼吸频率或格拉斯哥昏迷量表中的任何一个缺失，则定义为住院期间生理数据缺失。使用逐步手动选择法进行单变量逻辑回归和多变量逻辑回归，以调查死亡率（和其他潜在预测因素）与缺失生理数据之间的关系。
对登记处中 4466 例创伤患者的数据进行了分析。在 59 个变量中，大多数（n=51；86.4%）缺失的观察值少于 20%。有 808 例（18.1%）患者至少缺失一次住院期间的首次生理观察。住院死亡与住院期间生理数据缺失相关（调整比值比 1.4；95%置信区间 1.02-2.01；p=0.04）。与缺失数据有其他显著关联的因素包括：就诊时间在非工作时间、就诊医院、“其他”受伤地点和特定受伤机制。袭击/凶杀受伤意图和进行胸部 X 光检查与首次住院期间生理变量未缺失相关。
大多数变量收集情况良好。住院死亡作为更严重损伤的替代指标，与首次住院期间生理观察缺失有关。这仍然是创伤登记处的一个重要局限性。
