Volume 19 Supplement 1

35th International Symposium on Intensive Care and Emergency Medicine

Open Access

Decision-making algorithm for TS in the ICU

  • L Marullo1,
  • A Tavano1,
  • P Fusco1 and
  • F Ferraro1
Critical Care201519(Suppl 1):P215

https://doi.org/10.1186/cc14295

Published: 16 March 2015

Introduction

Nowadays more percutaneous dilatational tracheostomy (PDT) methods are in use, but there is no ideal risk-free technique. We have outlined a decisional algorithm to choose the most appropriate technique in each case to reduce the incidence of complications.

Methods

A retrospective review was performed using data from the last 14 years. Two hundred patients were selected. Patients were divided into two groups: one including the first 100 PDTs treated without the algorithm (nA-group) and the other including the last 100 patients treated with the algorithm (A-group). Valuation of clinical and anatomical features of the patients, neck ultrasound and fibrobronchoscopy came before the procedure [1]. The algorithm was formulated by our experience with PDT techniques, comparing the specific characteristics of each one with the physiopathological characteristics of each patient.

Results

We recorded complications (bleeding, tracheoesophageal fistula, subglottic stenosis, tracheal rings' fracture, difficulty of placement, change of procedure) related to PDTs performed with and without applying the algorithm. We considered complications that occurred in our experience and we changed our modality in technique choice (Figure 1). Compared with the complications reported in the nA-group, use of the algorithm as a guide to choose the kind of PDT technique seems to reduce the incidence of complications (37% vs. 19%; P = 0.001 chi-square test).

Figure 1

Conclusion

In our experience the application of the proposed algorithm may reduce the incidence of complications related to PDT in the ICU. However, a randomized controlled multicenter study would be necessary in order to confirm the efficiency and validity of the proposed algorithm.

Authors’ Affiliations

(1)
Second University of Naples

References

  1. Kollig E, et al: Injury. 2000, 31: 663-8. 10.1016/S0020-1383(00)00094-2.View ArticlePubMedGoogle Scholar

Copyright

© Marullo et al.; licensee BioMed Central Ltd. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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