Abstract
Purpose
To identify patient characteristics associated with adverse events in Achilles tendon rupture (ATR) surgical repair cases.
Methods
A high risk (HR) cohort group of ATR patients were compared to healthy controls in the ACSNSQIP database with multivariate regression analysis.
Results
Overall, 2% (n = 23) of the group sustained an AE postoperatively, most commonly superficial SSI (0.9%, n = 10). Multivariate analysis did not reveal any patient characteristics to be significantly associated with the occurrence of an AE or superficial SSI.
Conclusions
Obesity, diabetes and a history of smoking did not predispose patients to significantly more AEs in the 30 day postoperative period following ATR repair in this study.
Keywords: Achilles tendon rupture, Diabetes, Outcome studies, Tendon disorders
1. Introduction
Achilles tendon rupture (ATR) is a fairly common injury that results in substantial morbidity with functional deficits persisting more than two years after the initial injury regardless of treatment.20 The majority of Achilles tendon ruptures result from sports and exercise related activity.14, 16 These injuries occur more in males between the ages of 30 and 50, with an overall incidence of 6–37 per 100,000 people.12, 17, 23 There has been an increased incidence in recent years among both men and women13 with a peak in the spring that may be due to the increased frequency of adults playing recreational sports.21
Broadly speaking, ATR can be treated either surgically or non-surgically. Though surgical treatment has been trending downward,13 there is currently no consensus among orthopaedic surgeons as to the optimal management of ATRs. A number of recent studies have compared outcomes and complications between surgical and non-surgical treatment of ATR injuries. The results of these studies have shown lower re-rupture rates in surgically repaired ATR with a higher rate of other complications including infection and nerve injury.1, 22, 24 Given these outcomes, concerns regarding adverse events in the postoperative period may influence the decision to pursue operative management in certain patients. It is important for surgeons to be able to identify those patients who are at a higher risk for experiencing adverse events and tailor treatment accordingly.
The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) is a multi-institutional outcomes database gaining increasing use in the field of orthopaedics to help analyze the various factors that contribute to adverse surgical outcomes.6, 19 It contains pre-operative, intra-operative, and 30-day follow up data that is prospectively collected using a standardized methodology resulting in a high quality and robust database. To our knowledge, no one has utilized the NSQIP database to analyze the overall incidence of adverse events and associated risk factors following Achilles tendon surgery. The purpose of this study was to (1) identify patient characteristics associated with the occurrence of adverse events in Achilles tendon rupture and (2) compare outcomes in the perioperative period between patients with multiple risk factors and healthy patients.
2. Materials and methods
The ACS-NSQIP database was queried for all primary ATR procedures defined as Current Procedural Terminology (CPT) codes 27650 (1085 cases) and 27652 (79 cases) performed in the years 2005–2012. Percutaneous ATR was not included in this analysis in order to have a more uniform cohort. Patients with missing demographic or outcomes information were excluded from analysis.
Adverse events were defined as the occurrence of any of the following: Death, coma > 24 h, ventilator >48 h, unplanned intubation, stroke/cerebrovascular accident, deep venous thrombosis, pulmonary embolism, cardiac arrest, myocardial infarction, acute renal failure, sepsis, septic shock, return to operating room, wound dehiscence, deep SSI, organ/space infection, graft prosthesis failure, peripheral nerve injury, superficial surgical site infection (SSI), urinary tract infection, pneumonia, or progressive renal insufficiency. Superficial surgical site infection is defined in the NSQIP database as an open wound, cellulitis (erythema, tenderness and swelling), or wound infection was noted postoperatively at the surgical site. A high risk (HR) cohort group was created by compiling patients who were either obese (Body Mass Index [BMI] >30), had a history of diabetes, or a history of smoking. These patients were compared for rates of adverse events to healthy control patients who had none of these risk factors using Pearson’s Chi square test for significant differences (p-value < 0.05). A multivariate logistic regression analysis of the overall cohort including obesity, history of smoking, diabetes, consumption of greater than two drinks of alcohol/day, age, gender, hypertension, and history of chronic obstructive pulmonary disease was completed to assess for independent predictors of adverse events. The model explained 3.4% of variance in adverse events and correctly classified 98.0% of cases. A subgroup analysis was completed to compare primary ATR repair with and without graft to ensure the patient groups could be combined and were comparable with regard to outcomes.
3. Results
In total, one thousand one hundred and sixty-four patients met inclusion criteria for the study. A subgroup analysis of the two CPT procedures included (27650 and 27652) revealed ATR repair patients with graft differed only in operative time compared to ATR repair patients without graft (58.34 ± 26.9 min, vs. 93.25 ± 40.41 min, p < 0.001). There was no statistically significant difference in the two procedure groups with regard to adverse events with only one patient in the ATR repair with graft group having a complication compared to 22 in the ATR repair without graft group.
From the overall cohort, six hundred and fifteen met criteria for the HR cohort (53%). Complete patient demographics are listed in Table 1. Overall, 2% (n = 23) of the group sustained an adverse event during the 30 day postoperative period, the most common being superficial SSI (0.9%, n = 10). Frequency of specific complications in the overall cohort and the HR group are included in Table 2. There was no significant difference in the HR cohort versus controls in rates of adverse events (2% vs. 2%, p = 0.981) or superficial SSI (0.9% vs. 0%, p = 0.183). Operative time was significantly longer in HR group compared to healthy controls in the study (63.16 ± 30.2 min vs. 57.95 ± 28.2 min, p = 0.002). Logistic multivariate analysis did not reveal any patient characteristics included in the model to be significantly associated with the occurrence of an adverse event or superficial SSI (Table 3).
Table 1.
Overall (N = 1164) | High Risk (N = 615) | |
---|---|---|
Demographic | ||
Age, years | 44.82 ± 13.32 | 48.19 ± 14.12 |
Female sex (%) | 25.6% | 29.4% |
Preoperative Comorbidities | ||
BMI, kg/m2 | 30.13 ± 6.46 | 33.79 ± 6.70 |
Functional status (dependent) (%) | 0.1 | 0.2 |
Smoker within 1 year (%) | 12.2 | 76.9 |
Alcohol use (%) | 0.9 | 1.1 |
Steroid use (%) | 1.1 | 1.3 |
Weight loss (%) | 0.1 | 0.2 |
Diabetes (%) | 5.0 | 10.4 |
Hypertension (%) | 22.5 | 34.0 |
COPD (%) | 0.8 | 1.1 |
Open wound/wound infection (%) | 1.0 | 1.0 |
Operative Variables | ||
Mean operative time, min | 60.71 ± 29.38 | 63.16 ± 30.19 |
BMI = Body Mass Index.
Table 2.
Outcome | Count (Overall N = 1164) | % of total |
---|---|---|
Any complication | 23 | 2.0 |
Superficial wound infection | 10 | 0.8 |
Deep wound infection | 3 | 0.3 |
Wound dehiscence | 3 | 0.3 |
Pneumonia | 1 | 0.1 |
Deep-vein thrombosis | 2 | 0.2 |
Reoperation | 6 | 0.5 |
Values listed as percentages.
Table 3.
Outcome | Odds ratio (95% CI) | p value |
---|---|---|
Any adverse event | ||
Obesity | 0.57 (0.10–3.14) | 0.52 |
History of Smoking | 2.66 (0.71–10.03) | 0.15 |
History of Diabetes | 1.21 (0.51–14.26) | 0.25 |
Age | 1.01 (0.97–1.05) | 0.81 |
Gender (Male) | 1.05 (0.40–2.77) | 0.93 |
History of Hypertension | 0.39 (0.97–1.55) | 0.18 |
History of COPD | 6.94 (0.68–70.5) | 0.10 |
4. Discussion
The patient population in this study was relatively young and healthy with an average age of 44.8 and few comorbidities. This is consistent with the epidemiology of ATRs documented in other literature.12, 13, 14 The controversy regarding optimal management of ATR largely centers on weighing the risk of surgical complications against potentially longer recovery time and suboptimal functional results if patients are managed nonoperatively.9, 15 This study found a very low overall adverse event rate of 2% in the 30-day postoperative period for primary surgical ATR repair.
The HR cohort of patients had a statistically significantly higher operative time relative to healthy controls without risk factors. However, this difference of six minutes between the risk-stratified groups is likely not clinically significant. Patients undergoing ATR repair with graft had significantly higher operative time than those patients undergoing ATR repair without graft but did not differ in adverse event rates.
Though in this study there was no increased risk of adverse events across comparisons, increased operative time has been implicated as a risk factor for postoperative infection in numerous studies.7, 25 A comparison of operative and conservative management by Cukelji et al found a lower rate of complications in patients undergoing percutaneous ATR repair and noted a lower operative time in these patients.9 However, the sample size in their study was much smaller and specifically targeted athletes aged 25–40. Lower operative time did not correlate with lower incidence of complication in this study. However, it should be emphasized that the total recovery period for ATR extends far beyond the 30-day postoperative period.
Wound complications after ATR surgical repair have been documented as a concern that warrants consideration of nonoperative treatment for these injuries.8 A retrospective study of 60 operatively managed ATR patients by Marican et al found that 16.7% of patients suffered infectious complications.18 In contrast to this study, we did not find an association between obesity and risk of superficial wound infections. Infection control protocols and antibiotic prophylaxis are not documented in the ACS-NSQIP database, which makes it difficult to know if there were modifiable factors leading to lower infectious complications than rates previously reported in the literature.
As the population in the United States becomes more obese, concerns for increased risk of complications in patients with increased body habitus have risen.11 In this study, patients with a higher risk profile did not have higher rates of complications relative to healthy controls. This suggests that for patients undergoing ATR surgical repair with risk factors explored in this study such as obesity, diabetes, and smoking, there isn’t a higher probability of surgical complications in the 30-day postoperative period compared to healthier patients. Surgical candidates for ATR repair with modifiable risk factors should nevertheless continue to be advised on the negative health effects of smoking, obesity, and diabetes. This is especially true given that complications typically associated with these conditions are likely to occur outside the 30-day postoperative period and are not captured in the NSQIP database. Age was not seen to impact 30-day complication rates, though previous studies have documented the potential benefits of ATR surgical repair vary based on patient age.5
The ACS-NSQIP database provides the advantage of spanning numerous hospitals and minimizes the caveat of single surgeon bias. The patient population and rates of complications documented may be more representative of the overall U. S. population than other studies that rely on outcomes from a small cluster of institutions. Though the patient population in this study was comparable in size to others in the literature, the ACS-NSQIP database contained relatively few ATR compared to other conditions it has been used to investigate.2, 3, 10 The small number of adverse events makes it difficult to draw broader conclusions based on statistical findings in this study as does the short follow up time. The logistic regression model only accounted for a small degree of the variation in adverse event occurrence. However, univariate analyses also did not find an association between patients in the HR cohort and adverse event occurrence.
There are also several limitations to this study inherent to the ACS-NSQIP database. Patient outcomes are tracked up to thirty days after hospital admission and complications after this period are not documented.6 The 30-day postoperative period is not indicative of long-term outcomes, though it is useful for minimizing patient readmissions and allows for analysis of imminent risks after surgery. Given that rerupture may occur well outside the 30-day postoperative period and is a particular outcome of interest in ATR repair, it must be acknowledged that this limitation impedes the utility of this study’s results. Pain, range of motion, and outcomes commonly used in orthopaedic surgery are also not documented in the ACS-NSQIP database. Furthermore, information on rehabilitation protocols, use of medical management such as thromboprophylaxis or antibiotic prohylaxis, and specified surgical technique would be beneficial for further analysis to better characterize predictors of a successful ATR repair.4 This is particularly relevant given results from a recent meta-analysis concluding recommendations for surgical treatment be made based on availability of functional rehabilitation.26
5. Conclusions
Repair of Achilles tendon ruptures has a very low rate of complications in the 30-day postoperative period even in patients with several complication rates. Patient characteristics were not seen to be predictive of adverse events in ATR operative cases in this study, though these results are limited in their scope. Providers can use results from this study to further inform patient-physician discussions weighing the risks and benefits of operative vs. non-operative treatment for primary ATRs in the 30-day postoperative period.
Conflict of interest
None.
None of the authors have financial or institutional disclosures to report related to the research in this paper.
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