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. Author manuscript; available in PMC: 2019 Dec 1.
Published in final edited form as: Ann Thorac Surg. 2018 Sep 19;106(6):1612–1618. doi: 10.1016/j.athoracsur.2018.07.041

Short-Term Outcomes of Tracheal Resection in The Society of Thoracic Surgeons Database

Bryan Payne Stanifer 1, Adin-Cristian Andrei 1, Menghan Liu 1, Shari L Meyerson 1, Ankit Bharat 1, David D Odell 1, Malcolm M DeCamp 1
PMCID: PMC6696934  NIHMSID: NIHMS1040814  PMID: 30240762

Abstract

Background.

Tracheal surgery is uncommon, and most of the published literature consists of single-center series over large periods. Our goal was to perform a national, contemporary analysis to identify predictors of major morbidity and mortality based on indication and surgical approach.

Methods.

The Society of Thoracic Surgeons General Thoracic Surgery Database (STS GTSD) was queried for all patients undergoing tracheal resection between 2002 and 2016. We identified 1,617 cases and compared outcomes by indication and approach. We created a multivariable model for a combined end point of mortality or major morbidity. The relationship between volume and outcome was analyzed.

Results.

The cervical approach was used 81% of the time, and benign disease was the indication in 75% of cases. Overall 30-day mortality was 1%, and no significant difference was found between the cervical and thoracic approach (1.1% versus 1.6%, p = 0.57) or between benign and malignant indications (1.1% versus 1.5%, p = 0.61). Independent factors associated with morbidity or mortality included thoracic approach, diabetes, and functional status. Centers were divided into those averaging fewer than four resections per year and those performing at least four per year. The low volume (<4) group had a combined morbidity and mortality of 27%, significantly higher than 17% observed among centers with more than four per year (p < 0.0001).

Conclusions.

STS GTSD participants perform tracheal resection for benign and malignant disease with low early morbidity and mortality. Higher operative volume is associated with improved outcome. Longer follow-up is needed to confirm airway stability and rate of reoperation.


Tracheal resection and reconstruction was pioneered by several surgeons, particularly Drs Hermes Grillo and Joel Cooper at the Massachusetts General Hospital and Dr F. Griffith Pearson at the Toronto General Hospital [14]. Their initial work was further developed at a number of international centers with the subsequent publication of a variety of surgical techniques [412]. Nevertheless, tracheal surgery remains uncommon relative to other thoracic surgical procedures and few, if any, multicenter reports have been published. The largest series published spans a treatment period of approximately 30 years [9]. As such, the modern postoperative outcomes after tracheal operations remain unclear outside of reference centers.

Therefore, our goal was to perform a contemporary, multi-institutional analysis of tracheal surgical outcomes by using The Society of Thoracic Surgeons General Thoracic Surgery Database (STS GTSD). We hypothesize that outcomes in tracheal resection vary by indication and approach. We also hypothesize that higher volume centers may have improved outcomes.

To analyze these issues, we quantified the volume of tracheal surgery being performed. Second, we analyzed outcomes by approach and indication. Third, we created a multivariable risk model for combined mortality or major morbidity. Finally, we evaluated whether the institutional volume of tracheal resection and reconstruction affected perioperative outcomes.

Patients and Methods

The STS GTSD is a voluntary, prospectively obtained and audited database that has been described elsewhere [1315]. This study was approved by the institutional review board at Northwestern University. The data for this research were provided by The Society of Thoracic Surgeons National Database Participant User File Research Program. The analysis was performed at the investigators’ institutions.

Patient Population

The STS GTSD was queried for all patients undergoing tracheal resection and reconstruction for either benign or malignant disease between 2002 and 2016. Carinal resections were excluded.

Outcome Definitions

Thirty-day postoperative outcomes were used as defined in the STS GTSD [1315]. A composite end point of 30-day mortality and the STS-defined variables of major morbidity was used, given the low mortality rate. Major morbidity was defined as the presence of one or more of any of the STS-defined major morbidity criteria.

Selection of Covariates

The study period included five versions (version 2.06 to version 2.3) of the STS GTSD database. We chose to include all variables for the analysis because there are little data on tracheal surgery using large databases. Consistent with previous STS GTSD analyses, for a number of discreet categorical variables, failure to code the presence of a variable was considered to be a negative response [16].

Statistical Analysis

Baseline characteristics and outcomes were summarized by using counts and percentages for categorical variables and mean and SDs for continuous variables. χ2 tests were used to compare categorical variables. Comparisons of continuous variables were performed with the two-sample t test with unequal variances and Satterthwaite’s approximation for degrees of freedom. A multivariable logistic regression model was created to identify baseline characteristics associated with the combined end point of mortality or major morbidity. The initial pool of variables considered consisted of age, sex, race, body mass index (BMI) class, American Society of Anesthesiologists (ASA) class (III, IV, or V versus I or II), Zubrod score (2,3, 4, or 5 versus 0 or 1), hypertension, diabetes, congestive heart failure, coronary artery disease, peripheral vascular disease, renal dysfunction, most recent creatinine level, steroid therapy, prior cardiothoracic operation, chronic obstructive pulmonary disease (COPD), pulmonary hypertension, and cerebrovascular disease. Significance level for entry into or exit from the model was less than or equal to 0.2. Surgical indication was included in the model a priori.

Volume and Outcome

The distribution of case volume was right skewed, with one center accounting for 29% of the total cases in the database. To assess the association between surgical volume and outcomes, hospitals were grouped into two categories: hospitals with four or more average annual surgical volume, and average annual volume fewer than four cases. Nine of 107 reporting centers performed at least four cases per year, whereas 64% of centers performed fewer than two cases per year. The combined end point of 30-day mortality or major morbidity was compared in high-and low-volume hospitals by using χ2 tests. The threshold for statistical significance was declared at two-sided 5% level. No adjustments for multiple testing were made so on average, 1 in 20 findings might be spurious.

Results

We identified 1,617 cases from 107 centers, with yearly volume shown in Figure 1 and patient preoperative characteristics in Table 1. Nine centers accounted for 50% of the volume. The cervical approach was used in 81% of cases, and benign disease was the indication in 75% of the cases. Although women made up most of the overall cohort (59%), men were more likely to require a thoracic approach and have a malignant indication. Outcomes by surgical approach and indication are presented in Table 2.

Fig 1.

Fig 1.

Total case volume per year.

Table 1.

Baseline Characteristics in the Entire Cohort (N = 1,617)

Variable No.
Available
Value

Age at time of operation, years 1,617 50.4 ± 15.5
Male 1,616 669 (41)
Race 1,568
 Asian 31 (2)
 Black 142 (9)
 White 1,317 (84)
 Hispanic 18 (1)
 Native American 8(1)
 Other 52 (3)
Height, cm 1,412 167.7 ± 12.9
Weight, kg 1,452 84.1 ± 23.4
Body mass index class, kg/m2 1,408
 ≤18.5 38 (3)
 >18.5 and ≤25.0 375 (27)
 >25.0 and ≤30.0 408 (29)
 >30.0 and ≤35.0 284 (20)
 >35.0 303 (22)
Smoking history (current + former) 1,589 719 (45)
ASA class 1,582
 I 18 (1)
 II 432 (27)
 III 887 (56)
 IV 242 (15)
 V 3(0)
Zubrod score 1,603
 0 151 (9)
 1 1,190 (74)
 2 143 (9)
 3 77 (5)
 4 41 (3)
 5 1 (0)
Hypertension 1,412 665 (47)
Diabetes 1,554 347 (22)
Most recent creatinine (mg/dL) level 1,016 1.0 ± 0.9
Congestive heart failure 1,398 69 (5)
Coronary artery disease 1,399 203 (15)
Peripheral vascular disease 1,398 49 (4)
Renal dysfunction 1,565 506 (32)
Oral or intravenous steroid within 24 hours 1,394 89 (6)
Prior cardiothoracic operation 1,406 336 (24)
Weight loss (kg) in past 3 months 1,308 0.4 ± 2.3
Most recent hemoglobin (g/dL) level 1,028 12.9 ± 1.8
COPD 1,062 162 (15)
Interstitial lung disease 1,061 4(0)
Pulmonary hypertension 1,046 12 (1)
Cerebrovascular history 1,576
 Transient ischemic attack 51 (3)
 Cerebrovascular accident 71 (5)
Operating room time, minutes 1,589 316.4 ± 132.3
Intraoperative transfusion 1,498 24 (2)
Indication 1,617
 Malignant 408 (25)
 Benign 1,209 (75)
Approach 1,604
 Thoracic 309 (19)
 Cervical 1,295 (81)

Values are expressed as mean ± SD or n (%).

ASA = American Society of Anesthesiologists; COPD = chronic obstructive pulmonary disease; No. = number.

Table 2.

Summary of Outcomes by Surgical Approach and Indication

Surgical Approach
Surgical Indication
Variable Cervical
(n = 1,295)
Thoracic
(n = 309)
p
Value
Benign
(n = 1,209)
Malignant
(n = 408)
p
Value

Mortality 15 (1.1) 5 (1.6) 0.57 14 (1.1) 6 (1.5) 0.61
Length of stay, days 10.3 ± 14.1 10.6 ± 12.8 0.80 10.9 ± 15.1 8.9 ± 8.7 0.014
30-Day readmission rate 65 (5) 40 (13) 0.001 84 (7) 21 (5) 0.20
Major morbidity
 Overall complication 249 (19.2) 93 (30.1) 0.001 255 (21.1) 89 (21.8) 0.78
  Atelectasis 37 (2.9) 9 (2.9) 1.00 35 (2.9) 12 (2.9) 1.00
  Pneumonia 31 (2.4) 22 (7.1) 0.001 34 (2.8) 19 (4.7) 0.08
  ARDS 4 (0.3) 5 (1.6) 0.016 5 (0.4) 4 (1.0) 0.24
  Ventilator > 48 hours 32 (2.5) 12 (3.9) 0.18 34 (2.8) 10 (2.5) 0.86
  Pneumothorax 4 (0.3) 4 (1.3) 0.049 2 (0.2) 6 (1.5) 0.004
  PE 1 (0) 2 (0.6) 0.097 1 (0.1) 2 (0.5) 0.16
  Reintubation 47 (3.6) 16 (5.2) 0.25 54 (4.5) 10 (2.5) 0.08
  Unplanned return to OR 67 (5.2) 25 (8.1) 0.056 69 (5.7) 23 (5.6) 1.00
  BPF 3 (0.2) 0(0) 1.00 2 (0.2) 1 (0.2) 1.00
  Tracheostomy 41 (3.2) 5 (1.6) 0.18 43 (3.6) 4 (1.0) 0.006
  Arrhythmia 30 (2.3) 22 (7.1) 0.001 29 (2.4) 23 (5.6) 0.003
  MI 2 (0.2) 0(0) 1.00 2 (0.2) 0(0) 1.00
  DVT 5 (0.4) 8 (2.6) 0.001 8 (0.7) 5 (1.2) 0.33
  UTI 22 (1.7) 9 (2.9) 0.17 20 (1.6) 11 (2.7) 0.21
  Empyema 0 (0) 2 (0.6) 0.037 0(0) 2 (0.5) 0.06
  Recurrent nerve injury 12 (0.9) 5 (1.6) 0.35 7 (0.6) 10 (2.5) 0.003
  New renal failure 8 (0.6) 4 (1.3) 0.26 10 (0.8) 2 (0.5) 0.74
  Anastomotic complication 3 (0.2) 3(1) 0.09 1 (0.1) 5 (1.2) 0.005
  Chylothorax 3 (0.2) 2 (0.6) 0.25 2 (0.2) 3 (0.7) 0.11
  Wound infection 60 (4.6) 15 (4.9) 0.88 67 (5.5) 9 (2.2) 0.004
  Sepsis 10 (0.8) 4 (1.3) 0.33 13 (1.1) 1 (0.2) 0.21
  Delirium 14 (1) 5 (1.6) 0.39 14 (1.2) 5 (1.2) 1.00

Values are expressed as mean ± SD or n (%).

ARDS = acute respiratory distress syndrome; BPF = bronchopleural fistula; DVT = deep vein thrombosis; MI = myocardial infarction; OR = operating room; PE = pulmonary embolism; UTI = urinary tract infection.

Benign indications were approached through a cervical incision 88% of the time, whereas resections for malignancy were performed with a cervical approach 54% of the time. Overall 30-day mortality was 1%, and no statistically significant differences were found in mortality between the cervical and thoracic approach to resection (1.1% versus 1.6%) or between malignant and benign indications (1.1% and 1.5%). Benign indications were associated with a significantly longer hospital length of stay than with malignant indications (10.9 ±15.1 days versus 8.9 ± 8.7 days, p = 0.014). The overall 30-day readmission rate was 6.5%. Although no difference was found in readmission rate based on a benign or malignant indication (7% versus 5%, respectively, p = 0.20), there was a more than a doubling of readmissions after a thoracic approach to tracheal resection (13%) compared with a cervical approach (5%, p = 0.001).

The thoracic approach was associated with higher rates of complication (30.1%) than the cervical approach (19.2%, p = 0.001), in particular pneumonia (7.1% versus 2.4%, p = 0.001), arrhythmia (7.1% versus 2.3%, p = 0.001), deep vein thrombosis (2.6% versus 0.4%, p = 0.001), acute respiratory distress syndrome (1.6% versus 0.3%, p = 0.016), pneumothorax (1.3% versus 0.3%, p = 0.049), and empyema (0.6% versus 0%, p = 0.037). The cervical approach was associated with twice the rate of tracheostomy (3.2% versus 1.6%), but this difference was not statistically significant (p = 0.18).

Overall complication rates were similar between the malignant and benign cohorts (21.8% versus 21.1%, p = 0.78); however, some important differences were found with the malignant group experiencing more arrhythmias (5.6% versus 2.4%, p = 0.003), recurrent nerve injuries (2.5% versus 0.6%, p = 0.003), pneumothoraxes (1.5% versus 0.2%, p = 0.004), and anastomotic complications (1.2% versus 0.1%, p = 0.005), as well as a trend in higher incidence of pneumonia (4.7% versus 2.8%, p = 0.08). Benign indications were associated with higher rates of tracheostomy (3.6% versus 1%, p = 0.006) and wound infections (5.5% versus 2.2%, p = 0.004).

A multivariable logistic model was developed to examine the combined end point of mortality or morbidity (Table 3). A Zubrod score of 2 or higher (odds ratio [OR] 2.44, 95% confidence interval [CI]: 1.61 to 3.69, p < 0.001), thoracic approach (OR 1.65, 95% CI: 1.12 to 2.43, p = 0.011), and diabetes (OR 1.54, 95% CI: 1.04 to 2.26, p = 0.030) were all significantly associated with higher odds of 30-day mortality or complication(s). Potentially important trends toward increased odds of 30-day mortality or complications were observed for patients with known coronary artery disease, ASA class of 3 or higher, obesity, pulmonary hypertension, and male sex (Table 3).

Table 3.

Summary of Multivariable Logistic Regression Model for Morbidity or Mortality Composite End Point

Variable Odds Ratio
(95% Confidence
Interval)
p
Value

Zubrod score: 2, 3, 4, or 5 versus 0 or 1 2.44 (1.61–3.69) <0.001
Approach: thoracic versus cervical 1.65 (1.12–2.43) 0.011
Diabetes 1.54 (1.04–2.26) 0.030
ASA class: III, IV, or V versus I or II 1.50 (0.95–2.38) 0.083
Coronary artery disease 1.52 (0.95–2.41) 0.081
Obesity: BMI > 30 kg/m2 versus BMI ≤ 30 kg/m2 1.33 (0.94–1.87) 0.11
Most recent creatinine (mg/dL) level 0.81 (0.63–1.04) 0.11
Pulmonary hypertension 2.87 (0.75–10.99) 0.12
Sex: male versus female 1.29 (0.92–1.82) 0.14
Indication: malignant versus benign 1.19 (0.78–1.80) 0.42

ASA = American Society of Anesthesiologists; index BMI = body mass index.

Nine centers averaged four or more tracheal resections per year, accounting for approximately one-half the volume of cases (Table 4). Thirty-day mortality was not different between high-and low-volume centers (p = 0.80). The higher volume centers (averaging at least four cases per year) had a significantly lower incidence of the 30-day mortality or morbidity composite end point (17%) than lower volume centers (27%; p < 0.001). Patients operated on at higher volume centers were more likely to be women with fewer comorbidities and better functional status undergoing transcervical resections for benign disease (Table 5).

Table 4.

Comparison of Incidence by Average Volume per Year

Variable Volume per
Year ≥ 4
(n = 9)
Volume per
Year < 4
(n = 98)
p
Value

Total volume, n 540 529
Total 30-day mortality, n     7 8 0.80
Total morbidity, n   93 141
Total composite end point, n   94 145
Composite end point incidence, %   17.4   27.4 <0.001

Table 5.

Baseline Characteristics by Facility Volume

Variable No. Overall
(n = 1,069)
Volume per Year
< 4 (n = 529)
Volume per Year
≥4 (n = 540)
p
Value

Age at time of operation, years 1,069 50.2 ± 15.5 51.1 ± 15.8 49.3 ± 15.1   0.06
Male 1,068 456 (43) 256 (48) 200 (37) <0.001
Race 1,040   0.011
 Asian 24 (2) 15 (3) 9(2)
 Black 107 (10) 68 (13) 39 (7)
 White 866 (83) 406 (79) 460 (87)
 Hispanic 1(0) 1(0) 0 (0)
 Native American 7 (1) 5 (1) 2 (0)
 Other 35 (3) 17 (3) 18 (3)
Height, cm 1,024 167.8 ± 13.3 168.5 ± 11.8 167.1 ± 14.6   0.09
Weight, kg 1,034 84.6 ± 23.9 87.1 ± 25.6 82.1 ± 21.7 <0.001
Benign indication 1,069 807 (75) 383 (72) 424 (79)   0.020
Cervical approach 1,069 820 (77) 364 (69) 456 (84) <0.001
BMI (obesity: BMI > 30.0) 1,023   0.07
 ≤18.5 28 (3) 13 (3) 15 (3)
 >18.5 and ≤25.0 271 (26) 125 (24) 146 (29)
 >25.0 and ≤30.0 294 (29) 144 (28) 150 (30)
 >30.0 and ≤35.0 207 (20) 106 (20) 101 (20)
 >35.0 223 (22) 131 (25) 92 (18)
Smoking history 1,067 465 (44) 257 (49) 208 (39) <0.001
ASA class 1,069 <0.001
 1 8(1) 3(1) 5(1)
 2 256 (24) 64 (12) 192 (36)
 3 622 (58) 338 (64) 284 (53)
 4 181 (17) 123 (23) 58 (11)
 5 2(0) 1 (0) 1 (0)
Zubrod score 1,069 <0.001
 0 93 (9) 57 (11) 36 (7)
 1 803 (75) 359 (68) 444 (82)
 2 99 (9) 67 (13) 32 (6)
 3 50 (5) 29 (5) 21 (4)
 4 23 (2) 16 (3) 7(1)
 5 1 (0) 1(0) 0 (0)
Hypertension 1,044 457 (44) 266 (51) 191 (36) <0.001
Diabetes 1,044 251 (24) 138 (27) 113 (22)   0.06
Congestive heart failure 1,041 44 (4) 32 (6) 12 (2)   0.002
Coronary artery disease 1,041 127 (12) 71 (14) 56 (11)   0.13
Peripheral vascular disease 1,042 37 (4) 27 (5) 10 (2)   0.004
Renal dysfunction 1,037 17 (2) 9 (2) 8 (2)   0.78
Last creatinine (mg/dL) level 997 1.0 ± 0.9 1.0 ± 1.0 0.9 ± 0.7   0.21
Steroids 1,040 52 (5) 36 (7) 16 (3)   0.004
Prior cardiothoracic operation 1,040 190 (18) 127 (25) 63 (12) <0.001
Weight loss (kg) in past 3 months 897 0.3 ± 1.7 0.3 ± 1.5 0.3 ± 1.8   0.76
Last hemoglobin (g/dL) level 1,007 12.9 ± 1.8 12.8 ± 1.9 13.1 ± 1.7   0.008
COPD 1,040 160 (15) 107 (21) 53 (10) <0.001
Interstitial lung disease 1,039 4 (0) 3 (1) 1 (0)   0.31
Pulmonary hypertension 1,025   0.24
 Yes 11 (1) 8 (2) 3 (1)
 No 768 (75) 370 (74) 398 (76)
 Not applicable 246 (24) 124 (25) 122 (23)
Cerebrovascular history 1,035   0.16
 No CVD history 962 (93) 468 (91) 494 (94)
 Transient ischemic attack 23 (2) 14 (3) 9 (2)
 Cerebrovascular accident 50 (5) 30 (6) 20 (4)
OR time, minutesa 1,069 320.6 ± 132.8 300.4 ± 128.2 340.4 ± 134.4 <0.001
Intraoperative transfusion 1,044 19 (2) 12 (2) 7 (1)   0.24
a

Calculated as OR exit - OR entry.

Values are expressed as mean ± SD or n (%).

ASA = American Society of Anesthesiologists; BMI = body mass index; COPD = chronic obstructive pulmonary disease; CVD = cerebrovascular disease; No. = number; OR = operating room.

Comment

This analysis of the STS GTDB represents the largest series of tracheal resections ever published. The series is dominated by cervical approaches (81% versus 75%) to benign stenosis (75% versus 77%) [9]. This is a multi-institutional analysis of tracheal surgery outcomes and examination of a volume–outcome relationship in tracheal surgery.

It is intuitive that a thoracic approach led to a higher rate of morbidity than a cervical incision. The nearly threefold higher incidence (7.1%) of postoperative pneumonia in this group represents an opportunity for preoperative optimization.

The 3.2% to 3.6% incidence of tracheostomy in the benign and cervical groups was higher than the 2.1% reported by Wright and colleagues [9]. The data do not capture whether there was a higher rate of complex resection involving the cricoid or larynx or length of resection in these groups, so it is difficult to know the cause of a higher need for tracheostomy after resection. The extent of resection has been shown to correlate with postoperative anastomotic complications [5, 6, 9]. Because the reported anastomotic complication rate is low (<1% for all groups), we expect that some of the tracheostomies reflect actual anastomotic problems. It is possible that concern for complications with long or complex resections could lead surgeons to protect their reconstruction with a prophylactic tracheostomy.

Tracheal resections for malignancy were associated with a higher rate of specific complications in this series: pneumothorax, arrhythmia, and recurrent nerve injury. Pneumothorax and arrhythmia are more likely because resections for malignancy required a transthoracic approach in 46% of cases. The higher rate of recurrent nerve injury is likely because of the oncologic nature of these procedures that required more aggressive lateral and extraluminal margins.

The overall predictors of mortality and major morbidity derived from the STS GTSD reflect the data collected for all patients in the database. These are valuable for analysis of more commonly performed procedures such as pulmonary resections for cancer but lack the granularity for less common procedures such as tracheal resection [5, 9, 13, 14]. We did confirm the known risk that diabetes confers on tracheal surgery outcomes. We also confirmed the expected increase in adverse outcomes as performance status declines or when comparing a thoracotomy or sternotomy with a collar incision.

It was not surprising to find a volume-outcome relationship with high-volume centers being associated with improved outcomes. The technical details of these operations, anesthetic management, and postoperative care are unique, and accumulated experience may decrease the morbidity at higher volume centers. The low total volume per year and the fact that one-half of the cases were performed at centers doing fewer than four cases per year was novel. One center dominates, but comparable outcomes were also achieved at eight other centers with modest yet consistent (≥4) annual resection volumes. The patients undergoing resection at these higher volume centers were healthier with lower reported comorbid illnesses such as hypertension, congestive heart failure, peripheral vascular disease, or COPD. These differences may explain some of the lower rates of morbidity seen at higher volume centers. In addition, higher volume centers are likely accustomed to identifying problems earlier. The failure to rescue concept may allow centers to salvage patients as well as prevent certain complications. Regionalization may be premature, but the data show that 50% of cases are being done in low volume centers with adverse outcomes in more than 1 in 4 patients.

The heavy right skew and small number of cases at most centers led us to think that many of the normal assumptions in volume-outcome analyses did not apply. We chose four cases per year because of a noticeable difference in the raw data at this number. It may be an adequate volume to maintain skills for tracheal resections. Our analysis of volume and outcome is not risk adjusted, but, as stated previously, the patients at the higher volume centers generally had fewer comorbidities. We think that because 65% of centers perform fewer than two surgeries per year on average, risk adjustment models would be highly unstable and not clinically useful.

There are limitations to this analysis. The database currently does not capture many of the known risk factors for complications, of most importance, length of resection, release maneuvers, prior tracheostomy, laryngotracheal involvement, and prior resection [9]. Longer term follow-up is needed to ensure airway stability and to assess need for reintervention.

There is a need to improve the STS GTSD for less-common procedures. In recognition of this, version 2.4 of the GTSD will contain a tracheal surgery module, including data fields specific for factors such as prior intubation, tracheostomy or previous tracheal resection, preoperative airway interventions, intraoperative airway management and cardiopulmonary support strategies, length of resection, use of release maneuvers, need for postoperative airway interventions, and both 30-and 90-day airway status [17].

STS surgeons are consistently reporting 130 to 170 tracheal resections annually with low mortality but with substantial morbidity. There is an opportunity for surgeons to learn from each other through this reporting effort. Planned additions and refinements to the STS GTSD about tracheal resection and reconstruction should provide more procedure-specific and robust outcome data with longer follow-up to enhance the future care for these challenging patients.

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