Journal of Orthopaedics and Traumatology

Official Journal of the Italian Society of Orthopaedics and Traumatology

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Open Access

Open treatment of ankle fracture as inpatient increases risk of complication

  • Michelle S. Shen1,
  • Ashley C. Dodd1,
  • Nikita Lakomkin1,
  • Idine Mousavi1,
  • Catherine Bulka2,
  • A. Alex Jahangir1 and
  • Manish K. Sethi1Email author
Journal of Orthopaedics and TraumatologyOfficial Journal of the Italian Society of Orthopaedics and Traumatology201718:472

https://doi.org/10.1007/s10195-017-0472-9

Received: 1 February 2017

Accepted: 23 August 2017

Published: 26 October 2017

Abstract

Background

Ankle fracture is one of the most common injuries treated by orthopaedic surgeons, and its incidence is only expected to rise with an aging population. It is also associated with often costly complications, yet there is little literature on risk factors, especially modifiable ones, driving these complications. The aim of this study is to reveal whether inpatient treatment after ankle fracture is associated with higher incidence of postoperative complications. As the USA moves towards a bundled payment healthcare system, it is imperative that orthopaedists maximize patient outcome and quality of care while also reducing overall costs.

Materials and methods

We used the American College of Surgeons National Surgical Quality Improvement Program database to compare complication rates between inpatient and outpatient treatment of ankle fracture. We collected patient demographics, comorbidities, and postoperative complications from both groups, then compared treatments using a multinomial logistic regression model.

Results

We identified 7383 patients, with 2630 (36%) in the outpatient and 2630 (36%) in the inpatient group. Of these, 104 (4.0%) inpatients compared with 52 (2.0%) outpatients developed a complication (p < 0.001).

Conclusions

Inpatients developed major complications including deep wound infection and pulmonary embolism, as well as minor complications such as pneumonia and urinary tract infection, at significantly greater rates. As reimbursement models begin to incorporate value-based care, orthopaedic surgeons need to be aware of factors associated with increased incidence of postoperative complications.

Level of evidence

Level III retrospective comparative study.

Keywords

Ankle fractureOutpatientInpatientComplications

Introduction

Ankle fracture is one of the most common injuries treated by orthopaedic surgeons, occurring at a rate of 187 per 100,000 people [1, 2]. Based on the National Trauma Data Bank, a recent study demonstrated that 55.7% of fractures in the foot and ankle region were ankle fractures [3]. As the population ages, the rate of ankle fracture is rising, leading to more hospital admissions and increased costs [4].

The USA spent US $2.9 trillion, equaling US $9255 per person, on healthcare in 2013, representing a 3.6% increase from 2012 [5]. To contain the rising costs, the USA’s healthcare system is shifting towards a bundled payment model in which complications may not be reimbursed. A study by Avilucea et al. found that there are considerable costs associated with treatment of complications due to isolated ankle fracture [6]. Therefore, complications associated with ankle fracture may become a financial risk for both hospitals and orthopaedic surgeons.

Nevertheless, even with the high rate of ankle fracture, there is minimal literature investigating drivers of complications for these patients. Previous studies have shown specific patient characteristics to be risk factors, for example, American Society of Anesthesiologists (ASA) score, which is a significant predictor of 30-day hospital readmission for orthopaedic trauma injuries [7]. Since ankle fracture patients are commonly treated on both inpatient and outpatient basis depending on the institution, it is essential for surgeons to understand the risk associated with admission status. Orthopaedic studies, including studies of cervical spine fractures, have shown that, in general, outpatient surgery does not increase the rate of postoperative complications [8, 9]. Recent studies, albeit with small sample size and without control for preoperative comorbidities, suggested that outpatient surgery for ankle fracture presents a lower complication rate [10].

Utilizing the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database from 2006 to 2013, the aim of this study is to compare the rate of major and minor complications between patients undergoing inpatient and outpatient surgery up to 30 days following surgery.

Materials and methods

Using a Current Procedural Terminology (CPT) code search, 341,062 orthopaedic patients were identified in the 2006–2013 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Among these patients, a second CPT code search was used to identify 7383 patients with ankle fracture. Patients were further divided based on hospital admission: 3885 patients underwent inpatient surgery, and 3498 underwent outpatient surgery for ankle fracture. Patient demographics [including age, ASA physical status, body mass index (BMI), sex, and smoking status], preoperative comorbidities [weight loss > 10% in the last 6 months, diabetes, dyspnea, use of steroids, bleeding disorder, on dialysis, functional status, history of chronic obstructive pulmonary disease (COPD), history of congestive heart failure (CHF), and disseminated cancer], and operative characteristics (length of surgery and type of surgical procedure by CPT code) were collected for each patient. Postoperative complications were also evaluated for 30 days following surgery and categorized into minor (superficial wound infection, wound disruption, pneumonia, and urinary tract infection) and major (deep wound infection, organ space infection, myocardial infarction, pulmonary embolism, deep vein thrombosis, sepsis, septic shock, coma, and death) complications.

To investigate whether patients undergoing inpatient or outpatient surgical procedures for ankle fracture presented with similar health profiles, bivariate analyses using the chi-squared test and Wilcoxon–Mann–Whitney test were performed to compare demographics, preoperative comorbidities, operative characteristics, and postoperative complications, as appropriate. Statistical significance was set at α = 0.05.

To control for confounding variables, we utilized a propensity score matched model, the advantages of which have been previously demonstrated [1113]. In general, propensity score matching adjusts for differences in individual patient characteristics, such as demographics and comorbidities, to more accurately assess the outcome due to treatment. We calculated the propensity of having outpatient surgery based on patient demographics, preoperative comorbidities, and surgical intervention. Therefore, patients who were ineligible to receive outpatient surgery due to comorbidities or injury severity were removed from the analysis. We then matched patients undergoing inpatient surgery to patients undergoing outpatient surgery based on their propensity scores (Fig. 1) using an 8-to-1 greedy matching algorithm in 1:1 ratio. After matching, there was no significant difference between the CPT codes of the inpatient versus outpatient population, suggesting similar types of ankle fracture between groups (Table 2). Rates of minor, major, and total complications were evaluated using bivariate analysis after propensity scoring the cohort. A multinomial logistic regression model was used to assess the odds of minor and major postoperative complications within 30 days after surgery, adjusting for surgical duration.
Fig. 1

Inclusion and exclusion criteria

Obtaining informed consent from involved patients was waived by an Institutional Review Board. All procedures involving human participants were in accordance with the 1964 Helsinki Declaration and its later amendments. This study was approved by an Institutional Review Board.

Results

Prior to matching patients based on propensity score, inpatients were shown to be significantly older and to have higher BMI compared with outpatients (p < 0.001). Inpatients also presented with a significantly higher rate of preoperative comorbidities, including dyspnea, steroid use, total functional dependency, history of bleeding disorder, dialysis use, history of COPD, history of CHF, and disseminated cancer (p < 0.001). Additionally, as shown in Table 1, 16.6% (n = 645) of inpatients had diabetes compared with only 7.2% (n = 250) of outpatients (p < 0.001).
Table 1

Patient characteristics among surgically treated ankle fracture patients by admission status before propensity score matching

 

Inpatient

Outpatient

p value

(N = 3885)

(N = 3498)

 

Patient demographics

 Age (years), median (IQR)

56 (41–69)

45 (31–57)

<0.001

 ASA class, median (IQR)

2 (2–3)

2 (1–2)

<0.001

 Body mass index (kg/m2), median (IQR)

29.8 (26.0–34.8)

28.8 (25.4–33.4)

<0.001

 Male, N (%)

1383 (35.6)

1700 (48.6)

<0.001

 Smoker, N (%)

874 (22.5)

1033 (29.5)

<0.001

Preoperative characteristics

 Weight loss > 10% in last 6 months, N (%)

6 (0.2)

2 (0.1)

0.205

 Diabetic, N (%)

645 (16.6)

250 (7.2)

<0.001

 Dyspnea, N (%)

  

<0.001

  No

3687 (94.9)

3408 (97.4)

 

  With moderate exertion

179 (4.6)

86 (2.5)

 

  At rest

19 (0.5)

4 (0.1)

 

 Use of steroids, N (%)

100 (2.6)

40 (1.1)

<0.001

 Bleeding disorder, N (%)

222 (5.7)

60 (1.7)

<0.001

 On dialysis, N (%)

39 (1.0)

3 (0.1)

<0.001

 Functional status, N (%)

  

<0.001

  Independent

3490 (89.8)

3403 (97.3)

 

  Partially dependent

378 (9.7)

93 (2.7)

 

  Totally dependent

17 (0.4)

2 (0.1)

 

 History of COPD, N (%)

189 (4.9)

51 (1.5)

<0.001

 History of CHF, N (%)

35 (0.9)

6 (0.2)

<0.001

 Disseminated cancer, N (%)

13 (0.3)

2 (0.1)

0.008

Operative characteristics

 CPT code, N (%)

  

<0.001

  27766

188 (4.8)

282 (8.2)

 

  27784

74 (1.9)

46 (1.3)

 

  27792

878 (22.6)

1298 (37.1)

 

  27814

1494 (38.5)

1014 (29.0)

 

  27822

838 (21.6)

517 (14.8)

 

  27823

260 (6.7)

109 (3.1)

 

  27829

153 (3.9)

229 (6.6)

 

Length of surgery (min), median (IQR)

70 (50–99)

62 (44–85)

<0.001

Propensity score, median (IQR)

0.43 (0.27–0.55)

0.56 (0.46–0.67)

<0.001

To control for the increased rate of preoperative comorbidities faced by inpatients, the inpatient and outpatient cohorts were propensity score matched, as shown in Fig. 1, according to which 2630 (36%) outpatients were matched to 2630 (36%) inpatients. Figures 2 and 3 present histograms of inpatients and outpatients before and after propensity matching, respectively. The distribution of propensity scores between outpatient and inpatient cases was more similar after matching, suggesting that these cases are similar in terms of individual patient characteristics and demographics. There were no significant differences in patient demographics, such as age, BMI, ASA class, gender or smoking habits, between the inpatient and outpatient cohorts following propensity score matching. Additionally, since all patients were matched based on preoperative comorbidities, inpatients and outpatients did not significantly vary in their level of health prior to surgery (Table 2). However, length of surgery was significantly longer for inpatients (median: 69 min, IQR: 49–98 min) compared with outpatients (median: 65 min, IQR: 45–88 min) (p < 0.001) (Fig. 4).
Fig. 2

Histograms of propensity score by admission status before matching

Fig. 3

Histograms of propensity score by admission status after matching

Table 2

Patient characteristics among surgically treated ankle fracture patients by admission status after propensity score matching

 

Inpatient

Outpatient

p value

(N = 2630)

(N = 2630)

Patient demographics

 Age (years), median (IQR)

63 (49–74)

63 (48–74)

0.707

 ASA class, median (IQR)

2 (2–2)

2 (2–2)

0.430

 Body mass index (kg/m2), median (IQR)

29.3 (25.8–34.0)

29.3 (25.8–34.2)

0.957

 Male, N (%)

1108 (42.1)

1090 (41.4)

0.615

 Smoker, N (%)

706 (26.8)

725 (27.6)

0.556

Preoperative characteristics

 Weight loss >10% in last 6 months, N (%)

0 (0.0)

2 (0.1)

0.157

 Diabetic, N (%)

238 (9.1)

241 (9.2)

0.886

 Dyspnea, N (%)

  

0.652

  No

2561 (97.4)

2554 (97.1)

 

  With moderate exertion

67 (2.6)

72 (2.7)

 

  At rest

2 (0.1)

4 (0.2)

 

 Use of steroids, N (%)

41 (1.6)

37 (1.4)

0.648

 Bleeding disorder, N (%)

60 (2.3)

59 (2.2)

0.926

 On dialysis, N (%)

6 (0.2)

3 (0.1)

0.317

 Functional status, N (%)

  

0.458

  Independent

2520 (95.8)

2535 (96.4)

 

  Partially dependent

106 (4.0)

93 (3.5)

 

  Totally dependent

4 (0.2)

2 (0.1)

 

 History of COPD, N (%)

56 (2.1)

51 (1.9)

0.625

 History of CHF, N (%)

7 (0.3)

6 (0.2)

0.781

 Disseminated cancer, N (%)

0 (0.0)

2 (0.1)

0.157

Operative characteristics

 CPT code, N (%)

  

0.919

  27766

163 (6.2)

157 (6.0)

 

  27784

44 (1.7)

45 (1.7)

 

  27792

749 (28.5)

722 (27.5)

 

  27814

915 (34.8)

958 (36.4)

 

  27822

520 (19.8)

505 (19.2)

 

  27823

103 (3.9)

109 (4.1)

 

  27829

136 (4.9)

134 (5.1)

 

Length of surgery (min), median (IQR)

69 (49–98)

65 (45–88)

<0.001

Propensity score, median (IQR)

0.51 (0.42–0.60)

0.51 (0.42–0.60)

0.9283

Fig. 4

Multivariate analysis of complications by admission status

After matching patients based on preoperative health conditions and other confounding variables, there was a significant difference in the complication rates for the inpatient and outpatient groups with ankle fracture (Table 3). Overall, 104 (4.0%) inpatients compared with 52 (2.0%) outpatients developed any complication (p < 0.001), while 1.7% (n = 45) of inpatients compared with 0.8% (n = 20) of outpatients developed a major complication (p = 0.002), including higher rates of deep wound infection (p = 0.032) and pulmonary embolism (p = 0.004). Inpatients also presented a significantly higher rate of minor complications (p = 0.001), including superficial wound infection (p = 0.026), pneumonia (p = 0.014), and urinary tract infection (p = 0.027).
Table 3

Complication rates among surgically treated ankle fracture patients by admission status after propensity score matching

 

Inpatient

Outpatient

p value

(N = 2630)

(N = 2630)

Minor complications, N (%)

 Superficial wound infection

34 (1.3)

18 (0.7)

0.026

 Wound disruption

8 (0.3)

11 (0.4)

0.491

 Pneumonia

6 (0.2)

0 (0.0)

0.014

 Urinary tract infection

24 (0.9)

11 (0.4)

0.027

 Any minor complication

68 (2.6)

35 (1.3)

0.001

Major complications, N (%)

 Deep wound infection

11 (0.4)

3 (0.11)

0.032

 Organ space infection

4 (0.2)

2 (0.1)

0.414

 Myocardial infarction

1 (0.0)

1 (0.0)

1.000

 Pulmonary embolism

13 (0.5)

2 (0.1)

0.004

 Deep vein thrombosis

13 (0.5)

7 (0.3)

0.179

 Sepsis

7 (0.3)

3 (0.1)

0.205

 Septic shock

1 (0.0)

0 (0.0)

0.317

 Coma

0 (0.0)

1 (0.0)

0.317

 Death within 30 days

2 (0.1)

3 (0.1)

0.655

 Any major complication

45 (1.7)

20 (0.8)

0.002

Overall complications, N (%)

104 (4.0)

52 (2.0)

<0.001

Inpatients were 1.94 times more likely to develop a complication compared with outpatients. Specifically, inpatients were 2.14 times more likely to develop a major complication and 1.86 times more likely to develop a minor complication compared with their outpatient counterparts (Table 4).
Table 4

Chi-squared analysis for CPT code distribution between inpatient and outpatient cohorts

 

Value

df

Asymptotic significance (two-sided)

Pearson chi squared

2.011

6

0.919

Likelihood ratio

2.011

6

0.919

No. of valid cases

5260

  

Discussion

This study is the first to report that inpatient surgery for ankle fracture may lead to increased risk of minor, major, and all complications 30 days following surgery even after propensity score matching. Patients undergoing inpatient surgery were approximately twice as likely to develop any complication as those undergoing outpatient surgery (p < 0.001). Previously, other studies have used the propensity score model to compare the rate of postoperative complications between inpatients and outpatients. Qin et al. [14] utilized the ACS-NSQIP database to evaluate the risk of postoperative complications in outpatient versus inpatient surgery for tissue expander (TE)-based reconstruction following mastectomy by first stratifying patients via admission status and then propensity score matching. Khavanin et al. [15] also applied propensity score matching to show that, compared with outpatients, inpatients undergoing thyroidectomy presented with higher rates of postoperative complications.

Surgical intervention for ankle fracture generally has positive outcomes, yet certain risk factors for complications and poor outcomes have been investigated [1620]. Since approximately 25% of ankle fractures are treated with surgical stabilization in the USA, it is essential for orthopaedic surgeons to understand the drivers of postoperative complications [21, 22]. A study by Weckback et al. which used a prospective database to analyze the rate of postoperative complications and need for surgical revision depending on outpatient or inpatient care for isolated ankle fracture similarly demonstrated that inpatient surgery presented a significantly higher complication rate [10]. That study also found the rate of complications to be 3.1% for outpatients and 9.1% for inpatients, which is higher than the data in our study. Unlike Weckback’s study, however, our investigation included a larger cohort of ankle fracture patients (7383 patients compared with 476 patients, respectively) and controlled for preoperative comorbidities and patient demographics by propensity score matching of patients.

We found that superficial wound infections were significantly more common for inpatients at a rate of 1.3% compared with 0.7% for outpatients (p = 0.026). Wound complications, such as superficial wound infections, are found to represent a major risk for all patients undergoing ankle fracture surgery. It is essential to note that our study controlled for preoperative comorbidities, such as diabetes and smoking, by propensity score matching of patients. Diabetes has been shown to drastically increase the risk of postoperative infections after surgical treatment of ankle fracture, while smoking has been found to impede wound healing [20, 23]. Because we controlled for these comorbidities, based on our results, it can be concluded that a driver of minor wound complications, such as superficial infections, may be associated with increased time spent in hospital as experienced by inpatients.

Patients undergoing inpatient surgery for ankle fracture also presented with a significantly higher rate of pneumonia (p = 0.014) and urinary tract infection (p = 0.027) compared with outpatients within 30 days following surgery. Postoperative pneumonia and urinary tract infection are considered two out of the three most common infectious complications for surgical inpatients [24]. Our study therefore allows surgeons and hospitals to evaluate the effect that inpatient surgery has on the development of such common postoperative complications.

When investigating major postoperative complications within 30 days, inpatient surgery was associated with increased risk of high rate of deep wound infection (p = 0.032) and pulmonary embolism (p = 0.004) compared with outpatient surgery. The study by Miller et al. found that, of 478 ankle fracture patients, 1.25% returned to the operating room for wound-related complications. These results highlight the importance of discussing potential wound-related complications with patients before admitting them to an inpatient service [22]. In particular, orthopaedic surgeons must consider a patient’s preoperative comorbidities, such as diabetes, before admitting them for inpatient ankle fracture surgery due to the risk of increasing complications [22]. Additionally, increased risk of pulmonary embolism has been shown in other studies investigating risks associated with inpatient surgery [14]; For example, Khavanin et al. found that inpatients undergoing thyroidectomy had twice the risk of developing pulmonary embolism compared with outpatients [15]. Surgical intervention for ankle fracture, in general, has also been shown to increase the risk of pulmonary embolism; therefore, orthopaedic surgeons should assess the patient for their risk of developing such complication before treating them as an inpatient [25].

Our results must be interpreted in the context of the limitations of this study. First, since we used the NSQIP database, we were limited by the number of patients and the risk factors evaluated. Additionally, NSQIP data do not specify isolated ankle fractures, therefore further prospective research is needed to evaluate complication rates for isolated ankle fracture. The NSQIP database also does not specify certain features of each patient’s treatment. We do not know how long after injury the surgical procedures were performed, whether patients were given oral or injected thrombosis prophylaxis, whether patients received antibiotic prophylaxis, which type of implant the patient received, or whether tourniquets were used on the patients. The NSQIP database was also limiting due to the designation of inpatient and outpatient status. Inpatients were defined as patients who stayed in the hospital longer than 23 h without differentiating between same-day and overnight stay. Medicare, for example, has an “observational status” in which patients can be admitted for up to 2 days as outpatients, therefore such policies could lead to mislabeling of outpatients and inpatients within the NSQIP database [26]. Due to the anonymity of the database, the study design could not account for variability between hospital policies.

Our study found that outpatient surgery for ankle fracture is associated with decreased risk for developing 30-day postoperative complications. Even when controlling for comorbid conditions, inpatients presented with higher rates of minor and major complications. Multivariate analysis corroborated inpatient status as an independent risk factor for such a complication. Orthopaedic surgeons should perhaps consider treating ankle fractures using outpatient procedures if given the option. In a future bundled payment system, orthopaedic trauma surgeons need to be aware of the factors influencing complications to decrease cost and improve patient care.

Declarations

Compliance with ethical standards

Conflict of interest

No benefits in any form have been received or will be received from a commercial party related directly or indirectly to the subject of this article. All authors declare that they have no potential conflicts of interest.

Patient consent

Obtaining informed consent from involved patients was waived by an Institutional Review Board.

Ethical approval

All procedures involving human participants were in accordance with the 1964 Helsinki Declaration and its later amendments. This study was approved by an Institutional Review Board.

Funding

No grant money or other supports (technical, corporate) were involved for this research study.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors’ Affiliations

(1)
Vanderbilt Orthopaedic Institute Center for Health Policy, Department of Orthopaedics, Vanderbilt University Medical Center
(2)
Department of Biostatistics, Vanderbilt University

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Copyright

© The Author(s) 2017

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