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炎症细胞指标作为开放性择期胸外科手术住院时间的术前预测指标

Inflammatory cell indexes as preoperative predictors of hospital stay in open elective thoracic surgery.

作者信息

Paliogiannis Panagiotis, Ginesu Giorgio C, Tanda Cinzia, Feo Claudio F, Fancellu Alessandro, Fois Alessandro G, Mangoni Arduino A, Sotgia Salvatore, Carru Ciriaco, Porcu Alberto, Zinellu Angelo

机构信息

Department of Biomedical Sciences, University of Sassari, Sassari, Italy.

Department of Clinical and Experimental Medicine, University of Sassari, Sassari, Italy.

出版信息

ANZ J Surg. 2018 Jun;88(6):616-620. doi: 10.1111/ans.14557. Epub 2018 Apr 24.

Abstract

BACKGROUND

Shorter and safer hospital stay (HS) is a desired outcome for patients undergoing thoracic surgery. The aim of the present study was to evaluate the predictive capacity of a series of pre-defined inflammatory cell indexes based on preoperative complete blood counts, towards length of HS in open elective thoracic surgery.

METHODS

We retrospectively studied 157 consecutive patients undergoing open elective thoracic surgery. Preoperative neutrophil to lymphocyte, platelet to lymphocyte and lymphocyte to monocyte ratios were calculated, and the red cell distribution width and mean platelet volume were registered. In addition, the systemic inflammation response index (SIRI) and a further derivative index, the aggregate inflammation systemic index (AISI) were calculated.

RESULTS

Statistically significant and positive correlations were observed between HS and SIRI, and between HS and AISI. In multiple logistic regression analysis, after dividing the patients in groups with normal and prolonged HS and adjusting for several confounders, only AISI was independently associated with HS.

CONCLUSIONS

Our results suggest that simple, inexpensive and widely available inflammatory cell indexes like SIRI and, particularly AISI, can be useful for the early identification of patients at risk of prolonged HS in open elective thoracic surgery.

摘要

背景

缩短住院时间并确保安全是胸外科手术患者期望达到的结果。本研究的目的是评估一系列基于术前全血细胞计数的预定义炎症细胞指标对开放性择期胸外科手术住院时间的预测能力。

方法

我们回顾性研究了157例连续接受开放性择期胸外科手术的患者。计算术前中性粒细胞与淋巴细胞、血小板与淋巴细胞以及淋巴细胞与单核细胞的比值,并记录红细胞分布宽度和平均血小板体积。此外,计算全身炎症反应指数(SIRI)和另一个衍生指数,即综合炎症全身指数(AISI)。

结果

观察到住院时间与SIRI之间以及住院时间与AISI之间存在统计学上显著的正相关。在多因素逻辑回归分析中,将患者分为住院时间正常和延长的组,并对多个混杂因素进行校正后,只有AISI与住院时间独立相关。

结论

我们的结果表明,像SIRI,尤其是AISI这样简单、廉价且广泛可用的炎症细胞指标,可有助于早期识别开放性择期胸外科手术中住院时间延长风险的患者。

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