Skip to main content
Patient Safety in Surgery logoLink to Patient Safety in Surgery
. 2018 Aug 29;12:26. doi: 10.1186/s13037-018-0172-2

Complications of pelvic and acetabular fractures in 1331 morbidly obese patients (BMI ≥ 40): a retrospective observational study from the National Trauma Data Bank

James T Carson 1, Sabin G Shah 2, Gezzer Ortega 3, Sorawut Thamyongkit 4, Erik A Hasenboehler 4, Babar Shafiq 4,
PMCID: PMC6114733  PMID: 30181776

Abstract

Background

There have been no large-scale epidemiological studies of outcomes and perioperative complications in morbidly obese trauma patients who have sustained closed pelvic ring or acetabular fractures. We examined this population and compared their rate of inpatient complications with that of control patients.

Methods

We retrospectively reviewed the records of patients treated for closed pelvic ring or acetabular fracture, aged 16–85 years, with Injury Severity Scores ≤15 from the National Trauma Data Bank Research Dataset for the years 2007 through 2010. The primary outcome of interest was rate of in-hospital complications. Secondary outcomes were length of hospital stay and discharge disposition. Unadjusted differences in complication rates were evaluated using Student t tests and Chi-squared analyses. Multiple logistic and Poisson regression were used to analyze binary outcomes and length of hospital stay, respectively, adjusting for several variables. Statistical significance was defined as p < 0.05.

Results

We included 46,450 patients in our study. Of these patients, 1331 (3%) were morbidly obese (body mass index ≥40) and 45,119 (97%) were used as controls. Morbidly obese patients had significantly higher odds of complication and longer hospital stay in all groups considered except those with pelvic fractures that were treated operatively. In all groups, morbidly obese patients were more likely to be discharged to a skilled nursing/rehabilitation facility compared with control patients.

Conclusions

Morbidly obese patients had higher rates of complications and longer hospital stays and were more likely to be discharged to rehabilitation facilities compared with control patients after pelvic ring or acetabular fracture.

Keywords: Acetabular fracture, Complications, Morbid obesity, Pelvic fracture

Background

In the United States, obesity is a public health crisis, with its high prevalence remaining stable over the past decade [1, 2]. The Centers for Disease Control and Prevention reports that 34.9% of all U.S. adults (approximately 78 million) and 16.9% of all U.S. adolescents (approximately 12.5 million) are considered obese [2]. Obesity is associated with higher rates of surgical complications, including difficulty with anesthesia, postoperative infections, and thromboembolic disease [36].

Obese and morbidly obese patients (body mass index [BMI] ≥30 and BMI ≥40, respectively) [7, 8] with pelvic fractures have been shown to have longer operative times [9], greater estimated intraoperative blood loss [10], and higher rates of wound infection, wound dehiscence, loss of reduction, iatrogenic nerve injury, pneumonia, and decubitus ulcers [1113]. There is an absence of large-scale epidemiological studies on outcomes and perioperative complications in morbidly obese trauma patients who have sustained closed pelvic ring or acetabular fractures. The steady rise of obesity, coupled with the magnitude of potential complications associated with these injuries, prompted us to further study this subset of morbidly obese orthopaedic trauma patients. The purpose of this study was to analyze the incidence of postoperative complications among morbidly obese trauma patients who sustained closed pelvic fractures and to compare it with non–morbidly obese patients who underwent comparable treatment. We hypothesize that there will be a higher incidence of in-hospital complications in morbidly obese patients with closed pelvic and acetabular fractures treated operatively or nonoperatively compared with non–morbidly obese patients.

Methods

We conducted a retrospective analysis using the National Trauma Data Bank (NTDB) Research Dataset for 2007 through 2010. This study was based on data from a publicly available database and therefore was exempt from institutional review board approval. For this type of study, formal consent is not required. The NTDB contains data from more than 1.9 million trauma admissions at more than 900 U.S. trauma centers throughout the country and is maintained by the American College of Surgeons. Detailed information about NTDB data collection procedures is available on the NTDB website [14]. It contains information pertaining to inpatients admitted through emergency departments and links data by unique, nonidentifying incident keys.

We used the following inclusion criteria to select patients: (1) closed pelvic and/or acetabular fracture (International Classification of Diseases, Ninth Revision [15] codes 808.0, 808.2, 808.4, 808.41, 808.42, 808.43, 808.49, 808.8); and (2) age 16 years through 85 years. Exclusion criteria were (1) age younger than 16 years or older than 85 years; (2) penetrating trauma; (3) insufficient data for analysis; (4) Injury Severity Score (ISS) > 15 (5) regional ISS of 6; and (6) phalanx or spine fractures. Patients with phalanx and spine fractures were eliminated because their procedure codes overlap with those of pelvic and acetabular fractures. Patients with ISS > 15 were excluded because they fall into the major (or polytrauma) trauma category, confounding the effect of pelvic and acetabular fractures alone [16] Patients with a regional ISS score of 6 were also excluded because they are deemed to have untreatable (fatal) injuries [16, 17]. All patients who met the inclusion criteria were placed in 1 of 2 groups: (1) morbidly obese and (2) not morbidly obese (“control”). Morbid obesity was determined by ICD-9 code (278.00 or 278.01) or database comorbidity listing for obesity (the NTDB distinguishes patients with BMI ≥40 as morbidly obese [18]). Details of the selection process are provided in Fig. 1. We identified 152,637 patients with closed pelvic and/or acetabular fractures. After applying our exclusion criteria, 46,450 (64%) patients remained. Of these, 1331 (2.87%) were morbidly obese.

Fig. 1.

Fig. 1

Criteria for patient selection into the study

We evaluated the following parameters: diagnosis, fracture management, patient characteristics (age, sex, health insurance type, most common mechanism of trauma and comorbidities), fracture management (operative vs. nonoperative), ISS, complications, presence of hypotension on admission, hospital teaching status, hospital trauma level, length of stay (LOS), and discharge disposition. We evaluated the following complications: acute renal failure, acute respiratory distress syndrome, bleeding, cardiac arrest, coagulopathy, decubitus ulcer, deep venous thrombosis (DVT), myocardial infarction, surgical site infection (SSI) (superficial or deep), organ or deep space infection, pulmonary embolus, stroke, sepsis, and wound disruption.

For data analysis, the groups were stratified by injury type as follows: pelvic fracture (with no acetabular fracture), acetabular fracture (with no pelvic fracture), and both pelvic and acetabular fractures. These groups were further stratified by whether they received operative or nonoperative treatment.

Statistical analysis

To determine differences in groups for continuous variables, we used 2-tailed t tests. Categorical variables were examined using Chi-squared tests. Fisher exact test was used for categorical variables when the numbers were too small to allow use of the Chi-squared test. Bivariate analysis was used to show raw percentages of outcomes. Multiple logistic and Poisson regression were used to analyze binary outcomes and LOS, respectively, adjusting for age, sex, race/ethnicity, insurance status, injury characteristics (ISS, Abbreviated Injury Score, mechanism), presence/absence of hypotension on admission, hospital factors (trauma level, teaching status), and treatment type (open reduction and internal fixation, internal fixation, external fixation). All analyses were performed with Stata, version 11.0 (StataCorp, College Station, Texas). Statistical significance was defined as p < 0.05.

Results

A total of 46,450 patients met our inclusion criteria. Demographic characteristics of control and morbidly obese patients are shown in Table 1. Morbidly obese patients were significantly younger (47 vs. 52 years, p < 0.05) and more likely to be female (51% vs. 43%) compared with controls. They were more likely to have a high-energy mechanism of injury such as motor vehicle collision, and they required operative treatment more frequently than the control patients. Morbidly obese patients had a higher overall complication rate when treated operatively or nonoperatively compared with the control group. This difference was significant (p < 0.05) in all but the operative pelvic fracture group. Moreover, morbid obesity was associated with approximately twice the odds of having a complication when operative or nonoperative treatment occurred. These odds were significant in all but the operative pelvic fracture group (Table 2).

Table 1.

Characteristics of 46,450 patients treated for pelvic and/or acetabular fracture, National trauma data bank research dataset, 2007–2010

Characteristic Controla (N = 45,119) Morbidly Obese (N = 1331) p Value
N % N %
Fracture type
 Pelvic only 21,238 47.1 324 24.3 < 0.001
 Acetabular only 15,904 35.2 761 57.2
 Pelvic and acetabular 7977 17.7 246 18.5
Male sex 25,496 56.5 654 49.1 < 0.001
Race
 White 33,654 75 959 72 < 0.001
 Black 4898 11 206 15
 Hispanic 706 1.6 10 0.75
 Other 3858 8.5 84 6.3
 Unknown 2003 4.4 72 5.4
Mechanism of trauma
 Motor vehicle collision 14,559 32 776 58 < 0.001
 Fall 18,766 42 336 25
 Struck pedestrian 2168 5.4 33 2.7
Injury Severity Score
 0–8 21,454 47.5 536 40.3 < 0.001
 9–15 23,665 52.4 795 59.7
Age group, years
 16–24 6789 15.0 167 12.5 < 0.001
 25–44 11,000 24.4 458 34.4
 45–64 11,973 26.5 429 32.2
 65–85 15,357 34.0 277 20.8
Procedure type
 External fixation 490 4.56 28 4.82 0.771
 Internal fixation 299 2.78 18 3.10 0.653
 ORIF 10,283 95.7 561 96.6 0.319
Needing operative fixation
 All 10,745 23.8 581 43.6 < 0.001
  Pelvic fracture 1401 6.60 44 13.6 < 0.001
  Acetabular fracture 6605 41.5 415 54.5 < 0.001
  Both fractures 2739 34.3 122 49.6 < 0.001

ORIF, open reduction and internal fixation

aPatients with body mass index values < 40

Table 2.

Analysis of inpatient complications by Fracture type in the nonoperative and operative groups by Obesity Status

Complication by Fracture Type Nonoperative Group (N = 35,124) Operative Group (N = 11,326)
Controla, % (N) Morbidly Obese, % (N) p Value ORb,c (95% CI) p Value Controla, % (N) Morbidly Obese, % (N) p Value ORb,c (95% CI) p Value
Overall complications
 Pelvic only 3.83 (759) 11.8 (33) < 0.001 2.98 (2.03–4.38) < 0.001 8.42 (118) 20.5 (9) 0.006 2.20 (0.93–5.17) 0.071
 Acetabular only 4.06 (378) 8.38 (29) < 0.001 2.12 (1.41–3.20) < 0.001 6.00 (396) 11.3 (47) < 0.001 1.99 (1.43–2.78) < 0.001
 Pelvic and acetabular 5.35 (280) 11.3 (14) 0.004 2.07 (1.14–3.77) 0.017 10.9 (299) 23.8 (29) < 0.001 2.41 (1.52–3.84) < 0.001
Acute renal failure
 Pelvic only 0.80 (159) 3.57 (10) < 0.001 4.20 (2.16–8.15) < 0.001 1.14 (16) 2.27 (1) 0.493 1.12 (0.12–10.9) 0.922
 Acetabular only 0.73 (68) 1.45 (5) 0.133 1.99 (0.77–5.14) 0.156 0.58 (38) 1.69 (7) 0.006 4.13 (1.73–9.86) 0.001
 Pelvic and acetabular 0.94 (49) 3.23 (4) 0.011 3.17 (1.07–9.38) 0.037 1.13 (31) 5.74 (7) < 0.001 8.43 (3.11–22.8) < 0.001
Acute respiratory distress syndrome
 Pelvic only 0.43 (85) 1.79 (5) 0.001 3.03 (1.17–7.85) 0.023 1.00 (14) 2.27 (1) 0.412 0.99 (0.06–15.7) 0.995
 Acetabular only 0.56 (52) 1.73 (6) 0.006 2.94 (1.21–7.14) 0.017 0.71 (47) 1.45 (6) 0.094 2.04 (0.85–4.89) 0.112
 Pelvic and acetabular 0.36 (19) 1.61 (2) 0.028 4.48 (0.97–20.7) 0.055 1.13 (31) 3.29 (4) 0.035 2.56 (0.82–8.03) 0.107
Bleeding
 Pelvic only 0.19 (37) 1.43 (4) < 0.001 7.15 (2.44–21.0) < 0.001 0.79 (11) 0 (0) 0.555 NA
 Acetabular only 0.25 (23) 0 (0) 0.354 NA 0.30 (20) 0.48 (2) 0.527 1.73 (0.38–7.84) 0.478
 Pelvic and acetabular 0.38 (20) 0 (0) 0.491 NA 0.69 (19) 0.82 (1) 0.87 1.06 (0.12–9.27) 0.956
Cardiac arrest with CPR
 Pelvic only 0.21 (42) 0 (0) 0.441 NA 0.29 (4) 2.27 (1) 0.027 6.10 (0.14–252) 0.341
 Acetabular only 0.26 (24) 0.58 (2) 0.26 3.11 (0.69–14.0) 0.14 0.08 (5) 0.48 (2) 0.011 9.89 (1.61–60.7) 0.013
 Pelvic and acetabular 0.46 (24) 0 (0) 0.45 NA 0.18 (5) 0.82 (1) 0.132 2.43 (0.24–24.6) 0.451
Coagulopathy
 Pelvic only 0.26 (51) 0.36 (1) 0.743 1.30 (0.17–9.72) 0.8 0.43 (6) 0 (0) 0.664 NA
 Acetabular only 0.26 (24) 0.58 (2) 0.26 1.72 (0.39–7.64) 0.477 0.20 (13) 0 (0) 0.366 NA
 Pelvic and acetabular 0.40 (21) 0 (0) 0.48 NA 0.26 (7) 0 (0) 0.576 NA
Decubitus ulcer
 Pelvic only 0.34 (68) 2.86 (8) < 0.001 7.08 (3.30–15.2) < 0.001 0.93 (13) 2.27 (1) 0.37 1.86 (0.17–20.4) 0.613
 Acetabular only 0.43 (40) 0.58 (2) 0.682 1.44 (0.35–3.72) 0.882 0.59 (39) 1.69 (7) 0.007 2.12 (1.17–3.83) 0.013
 Pelvic and acetabular 0.73 (38) 2.42 (3) 0.032 2.68 (0.75–9.56) 0.129 1.10 (30) 4.92 (6) < 0.001 4.61 (1.72–12.4) 0.002
Deep surgical site infection
 Pelvic only NA NA NA 2.40 (0.73–7.85) 0.147 0.14 (2) 0 (0) 0.802 1.63 (0.32–8.28) 0.557
 Acetabular only NA NA NA 1.28 (0.30–5.50) 0.742 0.05 (3) 0.24 (1) 0.105 2.89 (1.24–6.72) 0.014
 Pelvic and acetabular NA NA NA 2.18 (0.65–7.39) 0.209 0.11 (3) 0 (0) 0.715 2.97 (1.49–5.95) 0.002
DVT/thrombophlebitis
 Pelvic only 0.36 (72) 1.07 (3) 0.053 2.21 (31) 4.55 (2) 0.308 NA
 Acetabular only 0.66 (61) 0.87 (3) 0.635 1.54 (102) 3.37 (14) 0.005 NA
 Pelvic and acetabular 0.86 (45) 2.42 (3) 0.068 3.10 (85) 9.84 (12) < 0.001 NA
Myocardial infarction
 Pelvic only 0.29 (58) 0.36 (1) 0.842 1.22 (0.17–8.93) 0.845 0 (0) 2.27 (1) < 0.001 NA
 Acetabular only 0.18 (17) 0.58 (2) 0.104 4.71 (0.99–22.4) 0.052 0.17 (11) 0.48 (2) 0.147 4.96 (0.97–25.3) 0.054
 Pelvic and acetabular 0.25 (13) 0 (0) 0.579 NA 0.40 (11) 0.82 (1) 0.484 0.99 (0.07–14.7) 0.996
Organ/deep space infection
 Pelvic only 1.26 (250) 3.57 (10) 0.001 2.36 (1.22–4.57) 0.011 3.28 (46) 11.36 (5) 0.004 2.84 (0.93–8.66) 0.067
 Acetabular only 1.26 (117) 2.02 (7) 0.215 1.72 (0.78–3.83) 0.179 1.39 (92) 1.93 (8) 0.372 1.35 (0.64–2.85) 0.427
 Pelvic and acetabular 1.68 (88) 4.84 (6) 0.008 2.89 (1.19–6.97) 0.018 3.10 (85) 6.56 (8) 0.035 1.85 (0.85–4.05) 0.127
Pulmonary embolism
 Pelvic only 0.27 (53) 0.36 (1) 0.773 1.32 (0.18–9.65) 0.785 1.28 (18) 0 (0) 0.449 NA
 Acetabular only 0.44 (41) 1.45 (5) 0.008 3.11 (1.19–8.17) 0.21 1.17 (77) 2.17 (9) 0.072 1.95 (0.05–4.01) 0.069
 Pelvic and acetabular 0.42 (22) 0.81 (1) 0.515 1.41 (0.18–11.2) 0.747 1.53 (42) 4.10 (5) 0.029 2.34 (0.87–6.33) 0.092
Stroke/CVA
 Pelvic only 0.07 (14) 0 (0) 0.657 NA 0.14 (2) 0 (0) 0.802 NA
 Acetabular only 0.06 (6) 0.29 (1) 0.128 4.38 (0.44–43.5) 0.207 0.05 (3) 0 (0) 0.664 NA
 Pelvic and acetabular 0.08 (4) 0 (0) 0.758 NA 0.37 (10) 0.82 (1) 0.427 1.92 (0.22–16.9) 0.555
Superficial SSI
 Pelvic only NA NA NA 0.29 (4) 2.27 (1) 0.143 8.12 (0.89–74.2) 0.064
 Acetabular only NA NA NA 0.26 (17) 0.48 (2) 0.311 1.88 (0.43–8.15) 0.401
 Pelvic and acetabular NA NA NA 0.33 (9) 2.46 (3) 0.013 7.65 (2.04–28.6) 0.003
Systemic sepsis
 Pelvic only 0.29 (57) 1.07 (3) 0.017 3.62 (1.10–11.9) 0.034 1.07 (15) 0 (0) 0.49 NA
 Acetabular only 0.45 (42) 1.16 (4) 0.062 2.45 (0.83–6.27) 0.106 0.42 (28) 1.20 (5) 0.024 3.18 (1.17–8.66) 0.023
 Pelvic and acetabular 0.38 (20) 1.61 (2) 0.034 3.01 (0.65–14.1) 0.161 0.84 (23) 4.10 (5) < 0.001 4.40 (1.52–12.73) 0.006
Wound disruption
 Pelvic only NA NA NA 0.07 (1) 0 (0) 0.859 NA
 Acetabular only NA NA NA 0. 06 (4) 0.24 (1) 0.181 6.10 (0.51–73.69) 0.155
 Pelvic and acetabular NA NA NA 0.29 (8) 0 (0) 0.55 NA

CI confidence interval, CPR cardiopulmonary resuscitation, CVA cerebrovascular accident, DVT deep venous thrombosis, NA not applicable, OR odds ratio, SSI surgical site infection

aPatients with body mass index values < 40

bNA signifies that there was no significant difference between the groups, and too much colinearity existed to calculate an actual OR

cAdjusted for age, sex, race/ethnicity, insurance status, injury characteristics (Injury Severity Score, Abbreviated Injury Score, mechanism), presence/absence of hypotension on admission, hospital factors (trauma level, teaching status), and treatment type (open reduction with internal fixation, internal fixation, or external fixation)

In addition, morbidly obese patients had longer hospital stays than control patients for all injury and treatment types. This difference was significant for all categories except for operative treatment of pelvic fractures. Finally, morbidly obese patients were more likely to be sent to a skilled nursing or rehabilitation facility on discharge (p < 0.001) (Table 3).

Table 3.

Secondary outcome measures of 46,450 patients treated for pelvic and/or acetabular fractures

Outcome Measure Nonoperative Group Operative Group
Controla (N = 34,374) Morbidly Obese (N = 750) p Value Control (N = 10,745) Morbidly Obese (N = 581) p Value
% Mean (CI) % Mean (CI) % Mean (CI) % Mean (CI)
Length of hospital stay, days
 Pelvic only 5.3 (5.2–5.4) 7.5 (6.5–8.6) < 0.001 11 (10–11) 13 (10–16) 0.055
 Acetabular only 5.8 (5.7–6.0) 8.0 (7.2–8.9) 9.3 (9.1–9.4) 12 (11–13) < 0.001
 Pelvic and acetabular 6.4 (6.2–6.6) 10 (8.3–12) 11 (11–12) 15 (13–17)
Discharge disposition < 0.001 < 0.001
 Home
  Pelvic only 47 36 62 40
  Acetabular only 59 50 68 45
  Pelvic and acetabular 46 27 54 36
 Skilled nursing/rehabilitation
  Pelvic only 46 61 36 58
  Acetabular only 30 44 30 53
  Pelvic and acetabular 46 70 45 64
 Other/unknown
  Pelvic only 6.9 3.6 1.7 2.3
  Acetabular only 11 6.8 1.5 1.7
  Pelvic and acetabular 7.9 2.5 1.6 0

CI confidence interval, OR odds ratio

aPatients with body mass index values < 40

Poisson regression analysis was used to determine the incidence rate ratios (IRRs) comparing LOS for morbidly obese and control patients in each of the injury and treatment types. This regression model controlled for multiple factors and represents how LOS is associated with the presence of morbid obesity as an independent variable. In each category, LOS was longer in the morbidly obese group. IRRs in the nonoperative group were 1.21, 1.25, and 1.36 for pelvic fracture, acetabular fracture, and both pelvic/acetabular fractures, respectively. IRRs in the operative group were 1.01, 1.20, and 1.18 for pelvic fracture, acetabular fracture, and both pelvic/acetabular fractures, respectively. This difference was significant for all categories (p < 0.001) except operative pelvic fractures (p = 0.785). This follows the same pattern as mean LOS for all categories.

Discussion

We found that morbid obesity was associated with a significantly higher overall risk of complications in patients with pelvic, acetabular, or combined pelvic/acetabular fractures treated nonoperatively. Similarly, morbidly obese patients with acetabular and combined pelvic/acetabular fractures treated operatively have a significantly higher overall risk of complications compared with the control group. These findings are similar to those of others who found that obese patients (BMI ≥30) have a greater incidence of perioperative complications, including longer operation times [9], greater estimated intraoperative blood loss [10], and higher rates of wound infection and dehiscence, loss of reduction, iatrogenic nerve injury, DVT, pneumonia, and decubitus ulcers [11, 13].

Patients in the morbidly obese group were more likely to sustain fractures from motor vehicle collisions, whereas those in the control group were more likely to have had falls. This means that obese patients’ fractures were more likely to be caused by high-energy mechanisms and correlates with the higher ISS in the obese group. We adjusted for mechanism of injury in our multivariate regression and found that obesity was still associated with higher complication rates.

Not all complications occurred more frequently in the obese group. Rates of deep SSI, pulmonary embolism, wound disruption, and coagulopathy were no higher in the obese group than in the control group. Of the study patients treated operatively, only 1 subset showed greater odds of superficial SSI. Also, only 1 subset of study patients had greater odds of cardiac arrest, with 1 other group having higher odds of bleeding. Some studies have found no increased rates of several perioperative complications in obese or morbidly obese patients. Baldwin et al. [19] found no increased rates of pulmonary embolism, compartment syndrome, or wound infection in 131 morbidly obese patients who sustained lower extremity fractures. Batsis et al. [20] found no increased risk of cardiac complications in 105 obese elderly patients who underwent surgery for hip fractures compared with normal-weight elderly patients. Jiganti et al. [21] found that 103 obese patients who underwent hip or knee arthroplasty did not experience a greater number of days with fever or have higher transfusion rates, greater narcotic needs, or lower hemoglobin levels compared with normal-weight patients. Tucker et al. [22] found no greater risk of complications in 32 obese patients who underwent femoral nailing compared with nonobese patients undergoing the same procedure.

Karunakar et al. [10] found that BMI was a predictor of postoperative complications in 169 patients who underwent open reduction and internal fixation for acetabular fractures. In their study, the authors found that obese patients (BMI ≥30) were 2.1 times as likely to lose more than 750 mL of blood during surgery, 2.6 times as likely to develop DVT, and morbidly obese patients were 5 times as likely to have a wound infection compared with normal-weight patients. Their results are consistent with ours, in that morbidly obese patients who underwent operative treatment of acetabular fractures had significantly higher odds of having a complication.

Porter et al. investigated outcomes of 102 pelvic ring [9] and 41 acetabular [23] injuries in morbidly obese patients. With respect to pelvic ring injuries, the authors found a higher overall complication rate (39% vs. 19%, p < 0.001), which was dominated by wound infections. This contrasted with our results, in that rates for overall complications and wound infections in morbidly obese patients who underwent operative fixation were not significantly different than those in control patients. However, there was a higher overall complication rate in morbidly obese patients who underwent nonoperative treatment in our study. Porter et al. [9] also found that morbidly obese patients with pelvic ring injuries also had longer operative times and greater need for subsequent surgical procedures compared with the control group. With respect to acetabular fractures, Porter et al. [23] reported a significantly higher complication rate (relative risk, 2.6), longer operative times, and greater estimated intraoperative blood loss compared with the control group. Again, the complications were primarily related to wound problems. The finding of higher complication rates in morbidly obese patients with acetabular fractures agrees with our findings for nonoperative and operative treatment groups.

In our study, morbidly obese patients had a significantly longer mean LOS compared with control patients in 5 of 6 stratified groups. Porter et al. [23] also found that morbidly obese patients with acetabular fractures had a longer LOS compared with the control group (26 days vs. 15 days, p < 0.01). Baldwin et al. [19] found a longer LOS for morbidly obese patients in only 1 of their subcohorts. They did not find increased hospital costs in either cohort of morbidly obese patients; however, they did find that LOS was highly correlated with hospital cost. Fine et al. [24] found that a reduction in LOS could significantly reduce hospital costs.

We found that morbidly obese patients were more likely than their counterparts in the control group to be sent to a rehabilitation facility (p < 0.001), which is congruent with the findings of other studies that have examined this parameter in obese patients who underwent emergent or elective surgery of the pelvis or lower extremity [19, 20, 23, 25].

Our study is limited in that participation in the NTDB is voluntary for all hospitals, and the database has few mandatory data fields. Results are limited by quality and accuracy of data entry. The database does not characterize pelvic fractures beyond the location of the injury. The biggest weakness is that there are no specific procedure codes for the treatment of pelvic fractures. It was necessary to extrapolate the treatment of pelvic fractures by eliminating patients who had phalanx or spinal column fractures. This greatly reduced our sample size. The NTDB categorizes patients only as morbidly obese, and not obese, thereby omitting many potential patients.

This is the largest study to our knowledge that examines complications of morbidly obese patients with pelvic and/or acetabular fractures. These data were taken from a nationwide sample, eliminating any geographic or surgeon-based variations or biases that may be present in smaller studies. With an increasing proportion of Americans in the morbidly obese weight group, it is important to be able to discuss the risks of complications associated with nonoperative and operative treatment of pelvic and acetabular injuries and how they may differ according to patient BMI. Because medical treatment is increasingly reimbursed on the basis of injury type and severity [25], it is important for hospitals to be able to bill appropriately for morbidly obese patients to account for higher complication rates and longer hospital stays, which have been shown to correlate with increased hospital costs. Given that so many morbidly obese patients are discharged to care facilities, it would be prudent to prepare these patients for this discharge disposition early in their hospital stay.

Conclusions

With the exception of pelvic fractures treated operatively, morbidly obese patients had higher rates of complications and longer hospital stays. They were also more likely to be discharged to rehabilitation facilities compared with control patients after pelvic ring or acetabular fracture. Regarding to treatment outcomes and costs, it is important to understand that morbid obesity negatively affects outcomes in operatively treated acetabulum fractures and nonoperatively treated pelvic and acetabulum fractures.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Authors’ contributions

JC contributed in research design, acquisition, analysis of data, write manuscript, SS and GO contributed in acquisition and contributed in analysis of data, ST and EH contributed in acquisition and critical revising, BS contributed in research design, acquisition and critical revising. All authors were fully involved in the study and approved final version of this manuscript.

Ethics approval and consent to participate

Not applicable. This study was based on data from a publicly available database and therefore was exempt from institutional review board approval. For this type of study, formal consent is not required.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

James T. Carson, Email: carsonj06@gmail.com

Sabin G. Shah, Email: sabin.shah@gmail.com

Gezzer Ortega, Email: gezzer8@gmail.com.

Sorawut Thamyongkit, Email: sthamyo1@jhmi.edu.

Erik A. Hasenboehler, Email: ehasenb1@jhmi.edu

Babar Shafiq, Phone: 410-955-1796, Email: bshafiq2@jhmi.edu.

References

  • 1.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity in the United States, 2009-2010. NCHS Data Brief. 2012;82:1–8. [PubMed] [Google Scholar]
  • 2.Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014;311(8):806–814. doi: 10.1001/jama.2014.732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Adams JP, Murphy PG. Obesity in anaesthesia and intensive care. Br J Anaesth. 2000;85(1):91–108. doi: 10.1093/bja/85.1.91. [DOI] [PubMed] [Google Scholar]
  • 4.Darvall KA, Sam RC, Silverman SH, Bradbury AW, Adam DJ. Obesity and thrombosis. Eur J Vasc Endovasc Surg. 2007;33(2):223–233. doi: 10.1016/j.ejvs.2006.10.006. [DOI] [PubMed] [Google Scholar]
  • 5.Haslam DW, James WP. Obesity. Lancet. 2005;366(9492):1197–1209. doi: 10.1016/S0140-6736(05)67483-1. [DOI] [PubMed] [Google Scholar]
  • 6.Yosipovitch G, DeVore A, Dawn A. Obesity and the skin: skin physiology and skin manifestations of obesity. J Am Acad Dermatol. 2007;56(6):901–916. doi: 10.1016/j.jaad.2006.12.004. [DOI] [PubMed] [Google Scholar]
  • 7.Shah NR, Braverman ER. Measuring adiposity in patients: the utility of body mass index (BMI), percent body fat, and leptin. PLoS One. 2012;7(4):e33308. doi: 10.1371/journal.pone.0033308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.World Health Organization. Body mass index - BMI. Available at http://www.euro.who.int/en/health-topics/disease-prevention/nutrition/a-healthy-lifestyle/body-mass-index-bmi. Accessed 22 Aug 2018.
  • 9.Porter SE, Graves ML, Qin Z, Russell GV. Operative experience of pelvic fractures in the obese. Obes Surg. 2008;18(6):702–708. doi: 10.1007/s11695-007-9320-y. [DOI] [PubMed] [Google Scholar]
  • 10.Karunakar MA, Shah SN, Jerabek S. Body mass index as a predictor of complications after operative treatment of acetabular fractures. J Bone Joint Surg Am. 2005;87(7):1498–1502. doi: 10.2106/JBJS.D.02258. [DOI] [PubMed] [Google Scholar]
  • 11.Lazar MA, Plocher EK, Egol KA. Obesity and its relationship with pelvic and lower-extremity orthopedic trauma. Am J Orthop (Belle Mead NJ) 2010;39(4):175–182. [PubMed] [Google Scholar]
  • 12.Nelson J, Billeter AT, Seifert B, et al. Obese trauma patients are at increased risk of early hypovolemic shock: a retrospective cohort analysis of 1,084 severely injured patients. Crit Care. 2012;16(3):R77. doi: 10.1186/cc11334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Sems SA, Johnson M, Cole PA, Byrd CT, Templeman DC. Elevated body mass index increases early complications of surgical treatment of pelvic ring injuries. J Orthop Trauma. 2010;24(5):309–314. doi: 10.1097/BOT.0b013e3181caa21e. [DOI] [PubMed] [Google Scholar]
  • 14.National Trauma Data Bank. NTDB Research Data Set. Available at https://www.facs.org/quality-programs/trauma/ntdb/datasets. Accessed 22 Aug 2018.
  • 15.United States Health Care Administration . International classification of diseases, ninth revision, clinical modification: med-index ICD-9-CM. Salt Lake City: Med-Index Publications; 1993. [Google Scholar]
  • 16.Long WB, Bachulis BL, Hynes GD. Accuracy and relationship of mechanisms of injury, trauma score, and injury severity score in identifying major trauma. Am J Surg. 1986;151:581–584. doi: 10.1016/0002-9610(86)90553-2. [DOI] [PubMed] [Google Scholar]
  • 17.Butcher NE, Enninghorst N, Sisak K, Balogh ZJ. The definition of polytrauma: variable interrater versus intrarater agreement--a prospective international study among trauma surgeons. J Trauma Acute Care Surg. 2013;74(3):884–889. doi: 10.1097/TA.0b013e31827e1bad. [DOI] [PubMed] [Google Scholar]
  • 18.American College of Surgeons. ACS NTDB National Trauma Data Standard: Data Dictionary. Available at https://www.facs.org/quality-programs/trauma/ntdb/ntds/data-dictionary/. Accessed 22 Aug 2018.
  • 19.Baldwin KD, Matuszewski PE, Namdari S, Esterhai JL, Mehta S. Does morbid obesity negatively affect the hospital course of patients undergoing treatment of closed, lower-extremity diaphyseal long-bone fractures? Orthopedics. 2011;34(1):18. doi: 10.3928/01477447-20101123-03. [DOI] [PubMed] [Google Scholar]
  • 20.Batsis JA, Huddleston JM, LJt M, et al. Body mass index and risk of adverse cardiac events in elderly patients with hip fracture: a population-based study. J Am Geriatr Soc. 2009;57(3):419–426. doi: 10.1111/j.1532-5415.2008.02141.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Jiganti JJ, Goldstein WM, Williams CS. A comparison of the perioperative morbidity in total joint arthroplasty in the obese and nonobese patient. Clin Orthop Relat Res. 1993;289:175–179. [PubMed] [Google Scholar]
  • 22.Tucker MC, Schwappach JR, Leighton RK, Coupe K, Ricci WM. Results of femoral intramedullary nailing in patients who are obese versus those who are not obese: a prospective multicenter comparison study. J Orthop Trauma. 2007;21(8):523–529. doi: 10.1097/BOT.0b013e31813347ac. [DOI] [PubMed] [Google Scholar]
  • 23.Porter SE, Russell GV, Dews RC, Qin Z, Woodall J,J, Graves ML. Complications of acetabular fracture surgery in morbidly obese patients. J Orthop Trauma. 2008;22(9):589–594. doi: 10.1097/BOT.0b013e318188d6c3. [DOI] [PubMed] [Google Scholar]
  • 24.Fine MJ, Pratt HM, Obrosky DS, et al. Relation between length of hospital stay and costs of care for patients with community-acquired pneumonia. Am J Med. 2000;109(5):378–385. doi: 10.1016/S0002-9343(00)00500-3. [DOI] [PubMed] [Google Scholar]
  • 25.Byrnes MC, McDaniel MD, Moore MB, Helmer SD, Smith RS. The effect of obesity on outcomes among injured patients. J Trauma. 2005;58(2):232–237. doi: 10.1097/01.TA.0000152081.67588.10. [DOI] [PubMed] [Google Scholar]

Articles from Patient Safety in Surgery are provided here courtesy of BMC

RESOURCES