Needham Dale M, Wang Weiwei, Desai Sanjay V, Mendez-Tellez Pedro A, Dennison Cheryl R, Sevransky Jonathan, Shanholtz Carl, Ciesla Nancy, Spillman Kim, Pronovost Peter J
Division of Pulmonary and Critical Care Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
J Crit Care. 2007 Dec;22(4):275-84. doi: 10.1016/j.jcrc.2007.02.001. Epub 2007 Jun 27.
Long-term follow-up studies in critical care have described survivors' outcomes, but provided less insight into the patient/disease characteristics and intensive care therapies ("exposures") associated with these outcomes. Such insights are essential for improving patients' long-term outcomes. This report describes the development of a strategy for comprehensively measuring relevant exposures for long-term outcomes research, and presents empiric results from its implementation.
A multistep, iterative process was used to develop the exposures strategy. First, a comprehensive list of potential exposures was generated and subsequently reduced based on feasibility, redundancy, and relevance criteria. Next, data abstraction methods were designed and tested. Finally, the strategy was implemented in 150 patients with acute lung injury with iterative refinement.
The strategy resulted in the development of more than 60 unique exposures requiring less than 45 minutes per patient-day for data collection. Most exposures had minimal missing data and adequate reliability. These data revealed that evidence-based practices including lower tidal volume ventilation, spontaneous breathing trials, sedation interruption, adequate nutrition, and blood glucose of less than 6.1 mmol/L (110 mg/dL) occurred in only 23% to 50% of assessments.
Using a multistep, iterative process, a comprehensive and feasible exposure measurement strategy for long-term outcomes research was successfully developed and implemented.
重症监护领域的长期随访研究描述了幸存者的结局,但对于与这些结局相关的患者/疾病特征及重症监护治疗(“暴露因素”)的了解较少。此类认知对于改善患者的长期结局至关重要。本报告描述了一种用于全面测量长期结局研究相关暴露因素的策略的制定过程,并展示了其实施后的实证结果。
采用多步骤、迭代的过程来制定暴露因素策略。首先,生成一份潜在暴露因素的综合清单,随后根据可行性、冗余性和相关性标准进行精简。接着,设计并测试数据提取方法。最后,在150例急性肺损伤患者中实施该策略并进行迭代优化。
该策略产生了60多种独特的暴露因素,每位患者每天的数据收集时间不到45分钟。大多数暴露因素的数据缺失极少且可靠性良好。这些数据显示,包括低潮气量通气、自主呼吸试验、镇静中断、充足营养以及血糖低于6.1 mmol/L(110 mg/dL)等基于证据的实践,在仅23%至50%的评估中出现。
通过多步骤、迭代的过程,成功开发并实施了一种用于长期结局研究的全面且可行的暴露因素测量策略。