Every cancer patient was discussed in a multidisciplinary tumor board of the medical centers for treatment decision making. Staging was performed via a triple endoscopy with biopsy and imaging. Imaging modalities consisted of either computed tomography with contrast or magnetic resonance imaging. The stage of the disease was determined after the surgical resection of the tumor according to the TNM system of the International Union against Cancer (7th edition). The indication for adjuvant treatment was based on nodal status and margins. In case of positive permanent margins, the patient received adjuvant chemoradiation.
The surgical approach was dependent on the location of the disease and the reconstructive needs. For oral cavity malignancies requiring a free-flap procedure, either a fasciocutaneous flap was used or a bone flap in case of mandible involvement. For oropharyngeal and laryngeal/hypopharyngeal reconstruction, fasciocutaneous flaps were used. For maxillary reconstruction bone flaps, fasciocutaneous and musculocutaneous flaps were used. Microvascular anastomosis was performed either with an operation microscope (Leica OH5, Leica Microsystems, Wetzlar, Germany; Zeiss S8, Carl Zeiss Meditec AG, Jena, Germany) or with magnifying loupes (3.5-fold). Arteries and veins were both sewn using either 8.0 or 9.0 Prolene sutures.
Surgical complications were rated using a modified Clavien-Dindo (CD) grading system.25,26 The modified grading system adds 1 additional category distinguishing between patients requiring a surgical, endoscopic, or radiological intervention for hematoma evacuation without wound-healing complications, minor wound dehiscence, or vascular complication with complete functional salvage of the flap and those requiring intervention for fistulas, or complete or partial flap loss resulting in additional procedures (Table 2). A severe complication according to this novel classification is a complication requiring a surgical, endoscopic, or radiological intervention for fistulas or complete or partial flap loss resulting in additional procedures (ie, fistula formation or flap losses/partial losses requiring additional major interventions, ie, additional [regional] flaps or repetitive wound dressings including vacuum-assisted systems), in case of single- or multiorgan failure or in case of death. An additional grouping according to late complications indicated by the suffix “d” in the original CD classification was not considered.
All statistical analysis was performed using SPSS statistical software for Windows, version 20 (SPSS, Inc, an IBM Company, Chicago, Ill., USA). Pearson χ2 tests were used to determine the association between categorical variables. Binary logistic regression was used to identify independent predictors of increased severe complication rate with an inclusion threshold of P ≤ 0.05. To determine variables predicting length of hospitalization, a Cox-regression model was used with an inclusion threshold of P ≤ 0.05. Cases with covariate data missing or unknown were excluded from the multivariate analysis. Effects of categorical variables were reported as odds ratios (ORs). In all cases, a P ≤ 0.05 was considered statistically significant.
Rates and Type of Complications
The overall rate of complications in this group of 217 patients based on the modified classification was 42%: 14.7% severe and 27.3% minor complications. Twelve patients (5.5%) were found with complete flap losses and 15 patients (6.9%) with fistulas requiring additional major interventions prolonging the length of hospitalization. Additional complications were death in 2 patients due to multiorgan failures as a consequence of a sepsis and hemorrhagic shock, a myocardial infarct, and a superinfected hematoma (Table 3).
Univariate Analysis of Factors Associated with Severe Complications
To identify variables significantly associated with the occurrence of severe complications, a univariate analysis was performed. This analysis returned the variables type of flap (P < 0.0001), ASA classification (P = 0.045), frequently versus less frequently performed flap (P < 0.0001), microscope use for the anastomosis (P = 0.039), surgeon (P = 0.024), high- versus low-volume surgeon (P = 0.007), and T-stage (P = 0.009) as significant (Table 4).
Logistic Regression Analysis of Factors Associated with Severe Complications
To identify factors independently associated with the occurrence of severe complications, a binomial logistic regression model was created. The model returned 3 variables independently associated with the occurrence of severe complications. Those were frequently versus less frequently performed flap (OR = 3.2; confidence interval [CI] = 1.7–5.8; P < 0.001), high- versus low-volume surgeon (OR = 0.52; CI = 0.29–0.93; P = 0.007), and ASA classification (OR = 2.85; CI = 1.1–7.5; P = 0.045) (Fig. 2) (Table 4).
Predictors of Length of Hospitalization
To identify predictors of a prolongation of hospitalization, a Cox-regression model using a forward likelihood ratio strategy was employed. The 4 variables retained in the model found to independently correlate with the length of hospitalization were T-stage (P = 0.001), complication status (P = 0.015), site of the reconstruction (P < 0.001), and surgeon (P = 0.011) (Table 5).
Within this series of 217 patients, we found a total of 42% complications, of which 14.7% were severe and 27.3% minor. Although these numbers may seem initially quite high, they actually compare favorably with currently published literature on complications after free-flap procedures for the head and neck region. A previously published study on 185 patients reconstructed with free flaps for head and neck defects reports 53% overall complications and 40% severe complications,16 whereas a similar study on 304 patients reconstructed with similar techniques reports an overall complication rate of 32.5% and a severe complication rate of 20%.17 Although seemingly favorable, the rates of severe complications in this study need to be considered in the context of the modified CD classification that reports complications only as severe that are rather prolonging hospital stay. It is likely that if the original CD classification would have been used, the results would have been similar to the published literature. A severe complication rate of nearly 15%, which is also associated with a high risk of prolongation of the hospitalization, has to be considered seriously. It means that major efforts are needed to reduce this number, not only to improve the quality of treatment for our patients but also to reduce the costs that are associated with the prolongation of hospitalization.
It is interesting to compare this rate of severe complications with the chemoradiation literature. However, there are difficulties to be considered, comparing the Radiation Therapy Oncology Group acute toxicity rating with the modified CD classification. One could assume that a grade IV acute toxicity in a patient treated with chemoradiation likely results in a prolongation of the hospitalization and thus could be considered a severe complication, at least comparable with a surgical severe complication. Considering this, the reported rate of 15% severe complications in this study does not compare unfavorably with the reported incidence of grade IV acute toxicity of 18% in the chemoradiation group in the RTOG 99-11 trial.27
The multivariate analysis of severe complications in this study returned 3 variables to be independently associated. Although 1 variable (ASA classification) belonged to the group of the patient-related variables, the other 2 variables are volume-sensitive variables: high-volume surgeon versus low-volume surgeon and frequently versus less frequently performed flap. The 2 latter parameters could be interpreted as volume–outcome indicators. They show that a surgeon who performs fewer than 20 flaps a year should probably either try either to increase his/her activity or to quit this activity. They also show that within the armamentarium of a free-flap surgeon, rarely used flaps should be rather avoided, because if performed seem to bring an additional risk of complication with them. Again, the surgeon can choose to either increase the frequency of this rare flap or abandon it and choose a flap he/she is more acquainted with. In summary, this type of surgery should not be done “occasionally” by surgeons. A steady volume throughout the year should be maintained.
But the analysis of these data should trigger additional measures with regard to training young free-flap surgeons and surgeon–surgeon collaboration. Young head and neck surgeons, who start out doing free flaps in smaller volume centers, should probably be supervised by experienced surgeons throughout their gaining of independence. This period of surveillance could eventually last until a solid activity of >20 free flaps per year for the younger surgeon is achieved. Adequate selection of patients “appropriate” to be taken to surgery by the younger colleague should be made by the more experienced supervisor. Other measures to take into consideration consist of early surgical simulation/training for surgeons in microvascular free-flap procedures. This might include training of flap harvest on cadavers before the interventions and computer-based surgical simulations making use of “virtual reality” environments.
The multivariate analysis in this study on duration of hospitalization returned the parameters “T-stage,” “severe complication,” “surgeon,” and “site of reconstruction” as independent predictors. The influence of larger T-stage on duration of hospitalization can be easily explained by the fact that larger tumors require more demanding reconstructions and thus a longer hospitalization for rehabilitation. Severe complications are logically associated with prolonged hospitalization. In the comparison of sites, mandibular reconstructions had the worst outcome. It is of great interest to note that 1 of the 4 variables related to the length of hospitalization in this study is provider related; in other words, the surgeon who performs the procedure has an impact on the length of the hospitalization likely through the quality of the surgery provided.
In summary, we provide evidence that besides typical patient-related factors such as comorbidities, volume-related parameters such as the frequency with which a flap is performed and the activity of a surgeon impact the outcome of microvascular free-flap procedures.
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Copyright © 2016 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. All rights reserved.
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