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Articles

Are panels of clinical, laboratory, radiological, and microbiological variables of prognostic value in deep neck infections? An analysis of 301 consecutive cases

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Pages 214-218 | Received 30 Aug 2018, Accepted 25 Sep 2018, Published online: 19 Mar 2019
 

Abstract

Background: Deep neck infections (DNIs) are often clinically challenging, and may be life-threatening.

Objective: The present retrospective study aimed to identify panels of clinical, laboratory, radiological, and microbiological parameters that could identify patients with DNIs at higher risk of complications or long-term hospitalization.

Materials and methods: The investigation concerned 301 consecutive patients with DNIs treated at our institution between 2000 and 2014.

Results: The discriminatory power of a combination of two variables (unknown origin of the infection and the need for surgical treatment) in terms of deep neck infection complications occurrence featured an AUC (ROC) of 0.6701. The power of a panel of four variables (age, leukocyte count, need for surgical treatment, days elapsing from hospitalization to surgical procedure) to identify DNIs necessitating long-term hospitalization featured an AUC (ROC) of 0.7929.

Conclusion: Using the scale proposed by Hosmer and Lemeshow, the four-variable panel showed an amply acceptable, nearly excellent discriminatory power for long-term hospitalization.

Significance: Although this panel achieved promising results for prognostic purposes, other parameters potentially capable of predicting the outcome of DNIs and orienting treatment decisions need to be investigated.

背景:治疗深颈感染(DNIs)通常很困难, 可能会危及生命。

目的:本回顾性研究旨在确定临床、实验室、放射学和微生物学参数, 以鉴别并发症或长期住院风险高的DNIS患者。

材料与方法:本研究的对象是2000年至2014年间在我院治疗301例DNIS连续患者。

结果:两个变量(未知感染源和手术治疗的必要性)的组合对深颈感染并发症发生的鉴别能力表现为AUC(ROC)= 0.6701。四个变量(年龄、白细胞计数、手术治疗的必要性、从住院到手术的天数)组合对DNIs患者是否需要长期住院的确定能力表现为AUC(ROC)= 0.7929。

结论:采用霍斯默和莱梅肖提出的量表, 四变量组合是一个完全可接受的、几近优等的长期住院鉴别指数。

意义:尽管该组合在预后方面取得了很好的结果, 但仍需研究其它可能预测DNIs结果和影响治疗决定的参数。

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Padova University [grant No. DOR1778819/17 (G. Marioni)].

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