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Analysis of Incidence and Outcome Predictors for Patients Admitted to US Hospitals with Acetabular Fractures from 1990 to 2010

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TAKE-HOME POINTS

  • The population-adjusted incidence of acetabular fractures increased between 1990 and 2010. Mortality associated with acetabular fractures decreased from 5.9% to 0.4% between 1990 and 2010.
  • The proportion of patients treated with ORIF increased from 12.6% to 20.4% between 1990 and 2010.
  • The average in-patient hospital length of stay following acetabular fracture decreased from 17.0 to 10.4 days between 1990 and 2010.
  • ORIF is associated with the lowest odds of mortality following acetabular fracture.

PATIENT SELECTION

All patients admitted to hospitals in the US with a fracture of the acetabulum between 1990 and 2010 were identified using ICD-9-CM codes. Discharges with a diagnosis code (ICD-9-CM) of closed fracture of the acetabulum (808.0) or open fracture of the acetabulum (808.1) were identified using previously described techniques.22 The database was subsequently queried to identify patients treated using open reduction and internal fixation (ORIF) (ICD-9-CM, 79.30/79.39), closed reduction and internal fixation (CRIF) (ICD-9-CM, 79.10/79.19), or external (ICD-9-CM, 78.10/78.19) or internal (ICD-9-CM, 78.50/78.59) fixation without reduction. Demographic variables were then collected, including age, sex, primary diagnosis, associated diagnoses, type of fracture (open vs closed), prevalence of comorbidities, length of stay, and discharge destination. The complication screening package23 was used to determine the incidence of complications. The variable adverse event was created on the basis of the variables postoperative bleeding (998.1), acute postoperative infection (998.5), acute postoperative anemia (285.1), acute renal failure (584), acute myocardial infarction (410), pulmonary embolism (415.1), induced mental disorder (293), pneumonia (480-486), pulmonary insufficiency (518.5), deep venous thrombosis (453.4), intubation (96.xx), and blood transfusion (99.x).

STATISTICAL ANALYSIS

Because of the large sample size, a normal distribution of the data was assumed. Differences between categorical variables were compared using the Pearson chi square test, while the independent-samples t test was used to compare differences between continuous variables. To determine independent predictors of in-hospital outcomes (death, adverse events, requirement for blood transfusion, or treatment with ORIF), all variables present in at least 2% of the population24 were included in a multivariable binary logistic regression model. For in-hospital adverse events, a 1% cutoff was used due to their lower rates of occurrence, as previously described.25The dichotomous variables were death, presence of adverse events, receipt of blood transfusion, and treatment with ORIF. A multivariable regression model allows for the control of potential confounders, isolating the effect of individual variables on inpatient outcomes. Covariates accounted for in the regression model included gender, age, region of the country, and preexisting comorbidities (diabetes mellitus, hypertension, congestive heart failure, coronary artery disease, atrial fibrillation). To assess the association between individual variables and inpatient outcomes, odds ratios and confidence intervals were calculated. A P value of <.001 was used to define statistical significance, correcting for multiple comparisons, as previously described.25 US census data were used to obtain national population estimates for each year of the study from 1990 to 2010.26 Rates were presented as the number of acetabular fractures per 100,000 standard population. All data were analyzed using the software Statistical Package for the Social Sciences [SPSS] version 20.

RESULTS

INCIDENCE AND DEMOGRAPHICS

A cohort representative of 497,389 patients with a diagnosis of acetabular fracture was identified between 1990 and 2010 (Table 1). In 1990, 19,560 cases (7.84 per 100,000 capita) of acetabular fractures were recoded, while in 2010, the number of cases increased to 29,373 or 9.5 per 100,000 capita (P < .001) (Table 2). The mean age of patients with an acetabular fracture was 52.6 years (standard deviation [SD], 23.7) and 60.6% were male (Table 1). The most frequently associated diagnosis was closed fracture of the pelvis (29.8%) followed by fracture of the femur (13.1%) and closed fracture of the ilium (3.8%) (Table 1). Of the total cohort, 23.2% underwent ORIF (Table 1). In 1990, 12.6% of patients with a diagnosis of acetabular fracture underwent ORIF, whereas 20.4% of patients underwent ORIF in 2010 (P < .001) (Table 2). Average length of hospital stay was 8.3 days (SD, 17.9) overall (Table 1). In 1990 the average length of stay was 17.0 days (SD, 14.9), decreasing to 10.3 days (SD, 9.3) in 2010 (P < .001) (Table 2).

Table 1. Patient Characteristics for Patients with Acetabular Fractures in the United States from 1990 to 2007

Parameter

Total 1990-2010

Total Number

497,389

Gender (%)

Male

60.6

Female

39.4

Age, years (%)

<20

6.7

20-40

31.5

41-60

22.3

61-85

30.4

>85

23.5

Race (%)

White

66.4

Black

9.3

Asian

1.7

Other

2.4

Not stated

20.2

Primary Diagnosis (%)

Closed fracture of acetabulum (808.0)

98.9

Open fracture of acetabulum (808.1)

1.1

Associated diagnoses (%)

Closed fracture of pubis (808.2)

26.1

Open fracture of pubis (808.3)

0.1

Closed fracture of ischium (808.42)

1.7

Open fracture of ischium (808.52)

0.0

Closed fracture of ilium (808.41)

3.8

Open fracture of ilium (808.51)

0.0

Closed fracture other part pelvis (808.49)

0.7

Open fracture other part pelvis (808.59)

0.0

Multiple closed pelvic fractures (808.43)

0.5

Multiple open pelvic fractures (808.53)

0.0

Any pelvic fracture from above

29.8

Fracture of neck of femur (820)

7.2

Fracture of any part of femur (820/821)

13.1

Head trauma (959.01)

0.7

Head/face trauma (959.0/959.01)

0.7

Chest trauma (959.11)

0.1

Chest/trunk trauma (959.1/959.11)

0.1

Procedures (%)

Open reduction internal fixation (79.30/79.39)

23.2

Closed reduction internal fixation (79.10/79.19)

1.3

External fixation (78.10/78.19)

0.7

Internal fixation without reduction (78.50/78.59)

0.4

Comorbidities (%)

No

72.9

Yes

27.1

Adverse Events (%)

No

74.1

Yes

25.9

Discharge Disposition (%)

Routine/home (1)

45.4

Left against medical advice (2)

0.2

Short term fac (3)

13.1

Long term fac (4)

22.2

Alive, not stated (5)

12

Dead (6)

3.5

Not reported (9)

3.6

Mortality (%)

3.5

Age (y), mean (SD)

52.6 (23.7)

Days of Care, mean (SD)

8.3 (17.9)

Principal Source of Payment (%)

Private insurance

39

Medicare

30.5

Medicaid

7.7

Other government

1.9

Self-pay

7.9

Workmen’s comp

4

Other

4.7

Not stated

4.4

Abbreviation: SD, standard deviation.

Table 2. Patient Characteristics in 1990, 1995, 1999, 2003, and 2007 Among Patients with Acetabular Fractures

Variable

1990

1995

1999

2003

2007

2010

Total number

19,560

17,506

22,767

27,133

34,027

29,373

Incidence per 100,000 capita

7.84

6.57

8.16

9.35

11.30

9.5

Gender (%)

     

  Male

51.0

70.7

61.2

62.6

62.5

64.9

  Female

49.0

29.3

38.8

37.4

37.5

35.1

Fracture (%)

     

  Open

2.1

1.7

3.3

1.4

0.1

1.8

  Closed

97.9

98.3

96.7

98.6

99.9

98.2

Underwent ORIF (%)

12.6

20.9

20.2

22.9

27.8

20.4

Adverse events (%)

10.9

16.2

23.7

31

35.1

37.6

Transfusion (%)

0.3

2.2

7.4

6.5

10.5

9.5

Discharge (%)

     

  Routine

58

65.6

35.6

45.9

40.2

41.6

  Non-routine to inpatient facility

26.8

23.1

46.4

33.8

40.8

34.6

Mortality (%)

5.9

3.6

2

2.9

1.5

0.4

Mean Age (y)

52.9

48.4

52.3

56.3

57

53.2

Mean DOC (days)

17.0

13.4

8.7

10.8

8.5

10.3

Abbreviations: DOC, days of care; ORIF, open reduction internal fixation.

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