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术后护理水平影响 POSPOM 评分对死亡率的预测:一项回顾性队列分析。

The level of postoperative care influences mortality prediction by the POSPOM score: A retrospective cohort analysis.

机构信息

Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany.

Institute of Medical Biometrics, Informatics and Epidemiology (IMBIE), University Hospital Bonn, Bonn, Germany.

出版信息

PLoS One. 2021 Sep 29;16(9):e0257829. doi: 10.1371/journal.pone.0257829. eCollection 2021.

Abstract

BACKGROUND

The Preoperative Score to Predict Postoperative Mortality (POSPOM) assesses the patients' individual risk for postsurgical intrahospital death based on preoperative parameters. We hypothesized that mortality predicted by the POSPOM varies depending on the level of postoperative care.

METHODS

All patients age over 18 years undergoing inpatient surgery or interventions involving anesthesia at a German university hospital between January 2006, and December 2017, were assessed for eligibility for this retrospective study. Endpoint was death in hospital following surgery. Adaptation of the POSPOM to the German coding system was performed as previously described. The whole cohort was divided according to the level of postoperative care (normal ward vs. intensive care unit (ICU) admission within 24 h vs. later than 24 h, respectively).

RESULTS

199,258 patients were finally included. Observed intrahospital mortality was 2.0% (4,053 deaths). 9.6% of patients were transferred to ICU following surgery, and mortality of those patients was increased already at low POSPOM values of 15. 17,165 patients were admitted to ICU within 24 h, and these patients were older, had more comorbidities, or underwent more invasive surgery, reflected by a higher median POSPOM score compared to the normal-ward group (29 vs. 17, p <0.001). Mortality in that cohort was significantly increased to 8.7% (p <0.001). 2,043 patients were admitted to ICU later than 24 h following surgery (therefore denoted unscheduled admission), and the median POSPOM value of that group was 23. Observed mortality in this cohort was highest (13.5%, p <0.001 vs. ICU admission <24 h cohort).

CONCLUSION

Increased mortality in patients transferred to high-care wards reflects the significance of, e.g., intra- or early postoperative events for the patients' outcome. Therefore, scoring systems considering only preoperative variables such as the POSPOM reveal limitations to predict the individual benefit of postoperative ICU admission.

摘要

背景

术前评分预测术后死亡率(POSPOM)根据术前参数评估患者术后院内死亡的个体风险。我们假设 POSPOM 预测的死亡率因术后护理水平而异。

方法

对 2006 年 1 月至 2017 年 12 月在德国一家大学医院接受住院手术或麻醉干预的年龄超过 18 岁的所有患者进行了此项回顾性研究的入选评估。研究终点为手术后院内死亡。如前所述,对 POSPOM 进行了德国编码系统的适应性调整。根据术后护理水平(普通病房、24 小时内转入 ICU 或 24 小时后转入 ICU)将整个队列进行分组。

结果

最终纳入 199258 例患者。观察到院内死亡率为 2.0%(4053 例死亡)。术后有 9.6%的患者转入 ICU,这些患者的死亡率在 POSPOM 值较低时(15)就已经增加。17165 例患者在 24 小时内转入 ICU,这些患者年龄较大、合并症较多或接受了更具侵袭性的手术,POSPOM 评分中位数也高于普通病房组(29 比 17,p<0.001)。该队列的死亡率显著增加至 8.7%(p<0.001)。2043 例患者术后 24 小时后转入 ICU(因此称为非计划性转入),该组的 POSPOM 值中位数为 23。该队列的观察死亡率最高(13.5%,p<0.001 比 ICU 入住<24 小时组)。

结论

转入高护理病房的患者死亡率增加反映了术中或术后早期事件等对患者预后的重要性。因此,仅考虑术前变量(如 POSPOM)的评分系统在预测术后 ICU 入住的个体获益方面存在局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/614e/8480745/d76e17d91e12/pone.0257829.g001.jpg

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