Fabes Jez, Seligman William, Barrett Carolyn, McKechnie Stuart, Griffiths John
Department of Anaesthesia, University College London Hospitals NHS Foundation Trust, London, UK.
Department of Anaesthesia, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK.
BMJ Open. 2017 Dec 26;7(12):e018322. doi: 10.1136/bmjopen-2017-018322.
To develop a clinical prediction model for poor outcome after intensive care unit (ICU) discharge in a large observational data set and couple this to an acute post-ICU ward-based review tool (PIRT) to identify high-risk patients at the time of ICU discharge and improve their acute ward-based review and outcome.
Retrospective patient cohort of index ICU admissions between June 2006 and October 2011 receiving routine inpatient review. Prospective cohort between March 2012 and March 2013 underwent risk scoring (PIRT) which subsequently guided inpatient ward-based review.
Two UK adult ICUs.
4212 eligible discharges from ICU in the retrospective development cohort and 1028 patients included in the prospective intervention cohort.
Multivariate analysis was performed to determine factors associated with poor outcome in the retrospective cohort and used to generate a discharge risk score. A discharge and daily ward-based review tool incorporating an adjusted risk score was introduced. The prospective cohort underwent risk scoring at ICU discharge and inpatient review using the PIRT.
The primary outcome was the composite of death or readmission to ICU within 14 days of ICU discharge following the index ICU admission.
PIRT review was achieved for 67.3% of all eligible discharges and improved the targeting of acute post-ICU review to high-risk patients. The presence of ward-based PIRT review in the prospective cohort did not correlate with a reduction in poor outcome overall (P=0.876) or overall readmission but did reduce early readmission (within the first 48 hours) from 4.5% to 3.6% (P=0.039), while increasing the rate of late readmission (48 hours to 14 days) from 2.7% to 5.8% (P=0.046).
PIRT facilitates the appropriate targeting of nurse-led inpatient review acutely after ICU discharge but does not reduce hospital mortality or overall readmission rates to ICU.
在一个大型观察性数据集中开发一种针对重症监护病房(ICU)出院后不良结局的临床预测模型,并将其与基于ICU后急性病房的评估工具(PIRT)相结合,以识别ICU出院时的高危患者,并改善他们在急性病房的评估及结局。
对2006年6月至2011年10月期间接受常规住院评估的首次入住ICU患者进行回顾性队列研究。2012年3月至2013年3月的前瞻性队列进行了风险评分(PIRT),随后指导基于住院病房的评估。
英国两家成人ICU。
回顾性开发队列中有4212例符合条件的ICU出院患者,前瞻性干预队列中有1028例患者。
进行多变量分析以确定回顾性队列中与不良结局相关的因素,并用于生成出院风险评分。引入了一种包含调整后风险评分的出院及每日病房评估工具。前瞻性队列在ICU出院时进行风险评分,并使用PIRT进行住院评估。
主要结局是首次入住ICU后,在ICU出院后14天内死亡或再次入住ICU的复合结局。
所有符合条件的出院患者中有67.3%接受了PIRT评估,改善了将ICU后急性评估针对高危患者的针对性。前瞻性队列中基于病房的PIRT评估与总体不良结局的减少(P = 0.876)或总体再入院率无关,但确实降低了早期再入院率(在最初48小时内),从4.5%降至3.6%(P = 0.039),同时将晚期再入院率(48小时至14天)从2.7%提高到5.8%(P = 0.046)。
PIRT有助于在ICU出院后及时将护士主导的住院评估针对性地应用于合适患者,但并不能降低医院死亡率或总体再入院率至ICU。