- Research article
- Open Access
Geriatric trauma hip fractures: is there a difference in outcomes based on fracture patterns?
World Journal of Emergency Surgery volume 9, Article number: 59 (2014)
Annually in the US, there are over 300,000 hospital admissions due to hip fractures in geriatric patients. Consequently, there have been several large observational studies, which continue to provide new insights into differences in outcomes among hip fracture patients. However, few hip fracture studies have specifically examined the relationship between hip fracture patterns, sex, and short-term outcomes including hospital length of stay and discharge disposition in geriatric trauma patients.
We performed a retrospective study of hip fractures in geriatric trauma patients. Hip fracture patterns were based on ICD -9 CM diagnostic codes for hip fractures (820.00-820.9). Patient variables were patient demographics, mechanism of injury, injury severity score, hospital and ICU length of stay, co-morbidities, injury location, discharge disposition, and in-patient mortality.
A total of 325 patient records met the inclusion criteria. The mean age of the patients was 82.2 years, and the majority of the patients were white (94%) and female (70%). Hip fractures patterns were categorized as two fracture classes and three fracture types. We observed a difference in the proportion of males to females within each fracture class (Femoral neck fractures Z-score = -8.86, p < 0.001, trochanteric fractures Z-score = -5.63, p < 0.001). Hip fractures were fixed based on fracture pattern and patient characteristics. Hip fracture class or fracture type did not predict short-term outcomes such as in-hospital or ICU length of stay, death, or patient discharge disposition. The majority of patients (73%) were injured at home. However, 84% of the patients were discharged to skilled nursing facility, rehabilitation, or long-term care while only 16% were discharged home. There was no evidence of significant association between fracture pattern, injury severity score, diabetes mellitus, hypertension or dementia.
Hip fracture patterns differ between geriatric male and female trauma patients. However, there was no significant association between fracture patterns and short-term patient outcomes. Further studies are planned to investigate the effect of fracture pattern and long-term outcomes including 90-day mortality, return to previous levels of activity, and other quality of life measures.
Geriatric trauma in the US is on the rise and at our level-I trauma center we have seen a dramatic increase in our "G-60" geriatric trauma mechanism of injury. There has also been a shift from motor vehicle collision to falls as the new number one mechanism of injury in geriatric trauma. Annually in the US, there are over 300,000 hospital admissions due to hip fractures in geriatric patients. Patients who sustain hip fractures are exposed to significant morbidity and high mortality at a treatment cost between 10.3 to 15.2 billion dollars per year in the US[3, 4]. These observations illustrate that hip fractures, especially in the elderly, represent significant health and economic challenges in need of focused attention. Thus, trauma centers across the country are trying to develop ways to improve the quality of care given to elderly trauma patients, which includes a better understanding of hip fracture patterns.
The National Hip Fracture Database (NHFD) the largest UK-based national hip fracture audit with 180 contributing hospitals in England, Wales and Northern Ireland has reported differences in outcomes among patients with hip fractures. Similar large observational studies from the US have recently been published which underscore the importance of anesthesia technique on mortality and length of stay among patients who underwent surgery for hip fractures.
The term "hip fracture" most commonly refers to fractures of the proximal femur and are generally categorized as (a) femoral neck fractures and (b) trochanteric fractures including intertrochanteric fractures, greater trochanteric fractures and subtrochanteric fractures, and combined inter- and subtrochanteric fractures. Most epidemiologic studies consider only 2 categories, femoral neck and intertrochanteric. Although there are reports showing some decline in the incidence of femur fractures among patients who stopped smoking and drinking alcohol or have been treated for osteoporosis with vitamin D[7–9], mortality and morbidity due to hip fracture remains rather high[7, 9, 10]. Thus, models have been developed to predict hip fracture mortality[11, 12]. However, it remains unclear whether there is a difference in femur fracture pattern distribution (femoral neck vs. trochanteric) in geriatric trauma patients. It is also unknown if there is any association between geriatric G60 trauma patients’ fracture pattern and outcomes. The purpose of this study was to determine if there is a difference in patient characteristics or patient outcomes as a function of fracture patterns in geriatric trauma patients age 60 years and older.
This retrospective study was reviewed and approved by Western Institutional Review Board. Patients were identified by query of the institutional trauma registry at our American College of Surgeons (ACS) verified level-I trauma center for all hip fractures by ICD 9 CM code 820–820.9. Patients with no femur fracture, those with acetabular fracture, or penetrating injuries were excluded. The study period was from August 2012 to February 2014.Data were collected both from the trauma registry and the electronic medical record. Data recorded included patient variables: age, gender, race/ethnicity, mechanism of injury, hospital and ICU length of stay, discharge disposition and mortality. Data captured were entered into Excel spreadsheets and an Access database. A trauma surgeon reviewed X-ray reports for each femur fracture, and if any ambiguity remained, a radiologist reviewed them. All fractures were described according to fracture class: (a) Femoral neck and (b) trochanteric fractures (Figure 1A). These classes were further categorized into following fracture types: (a) femoral neck, (b) intertrochanteric, (c) subtrochanteric, (d) greater trochanter, and (e) combined inter & subtrochanteric (Figure 1B). Trochanteric fracture class was a combination of intertrochanteric, trochanteric, and subtrochanteric fractures. Patient outcomes variables reviewed included: (a) hospital length of stay (HLOS) days, (b) ICU days (ICU LOS), and (c) discharge disposition including in-patient mortality. We examined the data for evidence of association between femur fracture type or fracture class and specific outcomes of interest. Covariates were age, gender, ethnicity/race, and injury severity score.
Continuous variables were reported as means ± SD and categorical variables as percentages. Comparisons between groups were performed using analysis of variance (ANOVA) or Student’s t-test for continuous variables. Pearson’s Chi-square test, Fisher’s exact test, or two-proportion Z-test was used for categorical variables. Two-sided p-values were used and p < 0.05 was considered statistically significant.
There were 325 patients, who met all of the study inclusion criteria and none of the exclusion criteria. The mean age (years) was 82.2 ± 9.3 with range of 60 to 101 years. There were 70.2% (n = 228) female and 29.8% (n = 97) male patients. Falls accounted for 95% of mechanism of injury for these patients. Females were older (83.3 ± 8.8 years) than males (79.5 ± 9.8 years) on average (p = 0.001). The majority of subjects (94.2%, n = 306) were white, and all other ethnic groups composed the remaining 5.8% (n = 19) of the patient population. In reviewing patients’ co-morbidities, 191 (58.8%) patients had hypertension, 65 (20%) patients had diabetes mellitus, 51 (16%) patients had dementia, 49 (15%) patients had respiratory disease, 20 (6.2%) patients had chronic heart failure, and 20 (6.2%) patients were current smokers. We also studied the fall locations and discharge dispositions of the patients. There were 239 patients (73.5%) who fell at home, 18 patients (5.5%) who fell at nursing home, and 68 patients (21%) who fell at other locations. There were 40 patients (12.4%) who were discharged to home, 265 (81.4%) patients who were discharged to SNF, rehabilitation centers, or acute care centers, and 20 patients (6.2%) who either died or were discharged to hospice. The majority of patients fell from home, but the majority of patients were discharged to SNF, rehabilitation center, or acute care facility as it is shown in Table 1.
Fracture class (femoral neck and trochanteric fractures) among elderly G-60 patients
Among our study subjects, 51.4% (n = 167) had femoral neck fractures, and 48.6% (n = 158) had trochanteric fractures. The mean (SD) age of patients with femoral neck fracture was 82.7 ± 8.5 years, and the average age of patients with trochanteric fractures was 82.5 ± 9.6 years (p = 0.84). The difference in age was not statistically significant, (251df) = -0.149, p = 0.881. Patients’ mean (SD) injury severity scores (ISS) for femoral neck and trochanteric fractures were 9.4 ± 2.0 and 9.8 ± 3.1, respectively (p = 0.20). We also determined the distribution of femoral neck and trochanteric fractures among the patients based on their gender, and the proportion of males and females with trochanteric fractures and femoral neck fractures showed significantl differences as shown in Figure 2. The HLOS and ICU LOS for each fracture class were also examined. The patients with femoral neck fractures stayed on average (SD) 5.1 ± 2.6 days in hospital, and the patients with trochanteric femur fractures stayed on average 5.4 ± 2.7 days (p = 0.341). The ICU LOS for patients with femoral neck and trochanteric fractures were on average (SD) 3.7 ± 3.6 and 3.3 ± 2.2 days (p = 0.662), respectively. The fall locations and the discharge dispositions were also studied and compared between two fracture classes, and the distribution of each fracture class was similar in various locations. Table 2.
Femoral fracture types in elderly G-60 patients
When the patients’ fracture types were compared, there were 167 patients (51.4%) with femoral neck fractures, and 129 patients (39.7%) with intertrochanteric fractures. The remaining 29 patients (8.9%) had subtrochanteric, greater trochanter only, or combined inter- and subtrochanteric fractures, and were considered as "other" for the purpose of meaningful statistical analysis. The fracture types for females, males, and both sexes were explored, and are shown in Table 3. There were higher proportions of femoral neck and intertrochanteric fractures in females compared to males. The average age was the highest in patients with intertrochanteric fractures (83.1 ± 9.4 years). The average age of patients who had femoral neck fracture was 82.1 ± 8.7 years, and other fracture was 78.5 ± 10.9 years (p = 0.044). The HLOS for each fracture type was analyzed using one-way analysis of variance (ANOVA), and the average HLOS were similar across the fracture types as shown in Figure 3. There were total of 35 ICU admissions among the patient population. Some of the patients with hip fracture were admitted to ICU due to following reasons including, but not limited to: patients with or on anticoagulation (e.g. Coumadin), significant cardiac history (e.g. pace-makers), hemodynamic instability, arrhythmia, confusion, concussion, mechanical ventilation, or renal dialysis. The average ICU days for patients with femoral neck fractures were 3.7 ± 3.6 days (n = 15), intertrochanteric fractures were 2.8 ± 1.9 days (n = 16), and other fractures were 5.5 ± 2.4 days (n = 4).
We completed analysis of the effect of femur fracture class on discharge disposition as shown in Table 2. There were no significant associations between fracture class and discharge disposition, (2 df) = 1.14, p = 0.566.
The effect of age on fracture type
We examined the relationship between patient age in deciles and femoral fracture type in males (Figure 4A) and females (Figure 4B). Males had the highest number of patients with femoral neck fracture in "90 and above" age group and the highest number of patients with intertrochanteric fractures in "80-89" age group. On the other hand, females had the highest number of patients with both femoral neck and intertrochanteric fractures in "80-89" age group. There were significant differences between the patient age in deciles and femoral fracture type in males (p < 0.0001) and females (p = 0.023). We also performed an Analysis of variance (ANOVA) using patient age as continuous variables. The result showed that hip fracture types used as categorical variables were not associated with patient age as a continuous variable, F (4, 248) = 0.600, p = 0.66.
Hip fractures were fixed by orthopedic surgeons based on standard of care. Among the 325 patients with hip fractures 25 had total hip replacement, 80 had partial hip replacement, 9 had internal fixation without reduction, 207 had open reduction with internal fixation and 2 patients had closed reduction of dislocation of the hip.
The primary findings of this study described femur fracture patterns in a group of elderly trauma patients with hip fractures. The study group was predominantly white (94%), female (70%) and in their 8th decade of life. As reported in previous studies and confirmed in this study, about half (51.4%) of the study subjects were diagnosed with femoral neck fractures, whereas 48.6% had trochanteric fractures. Patients in the two fracture groups did not differ in age or injury severity scores. The prevalence of femoral neck fractures was higher in females than in males. Similarly, The prevalence of trochanteric fractures was higher in females than in males. The ratio of male to female in femoral neck fracture was 1:3 and the ratio of male to female in intertrochanteric fracture was 1:2. This is confirmatory of previous study done by Brunner et al., although gender alone was not a significant predictive factor for femoral neck or trochanteric fractures (p = 0.097). The observed higher prevalence of femoral neck fractures in females was not explained by the older age of females. We concluded from our observations that the higher prevalence of femoral neck fractures may be a characteristic of white geriatric females in our service area.
The key question we raised in the introduction to this study was whether there were any connections between hip fracture pattern (class or type) and short-term inpatient outcomes. As reported in the results section, femoral neck or trochanter fractures classes had no effect on HLOS (p = 0.706), ICU-LOS (p = 0 .712), or patient discharge disposition including the number of inpatient deaths (Pearson Chi-Square (2df) = 0.313, p = 0.855). Similarly, fracture types had no effect on HLOS (p = 0.814).
In regards to the classification scheme, certainly AO/OTA classification provides more detail. However, use of this scheme would produce many subgroups, which would need to be grouped as we did for the purpose of analysis. Therefore, for the purpose of this study, we classified the fracture patterns in groups consistent with ICD-9 CM codes. This is also well described in other publications[7, 15, 16] as a method of categorizing the different types of hip fractures.
There are several factors that influence HLOS and complications such as surgical technique and whether arthroplasty was cemented or uncemented. The majority of hip fracture patients in our study (207/325) or 64% underwent open reduction with internal fixation. The influence of this group relative to patients who underwent total hip replacement (7.7%) internal fixation without reduction (2.7%), closed reduction of dislocation of hip (0.6%) on outcomes, and partial hip replacement (24.8%) needs to be taken into account when interpreting outcomes. We also suspect a higher proportion of patients with hip fractures were admitted to the ICU at our level-I trauma center than would be the case in UK and Europe.
This was a retrospective chart review limited to a single level-I trauma center.
Our examination of fracture pattern in geriatric trauma patients showed no association between fracture patterns and outcomes including hospital length of stay, ICU length of stay, and discharge disposition. Males and females did differ in fracture patterns, but these differences were not associated with different outcomes. Further studies should include greater diversity in demographics, and linkage of fracture patterns to outcomes such as pain scores, infection rate, hospital readmission and patient experience. As elderly population continues to rise and trauma centers are seeing more elderly patients with fall and associated hip fractures, we must continue to explore ways to decrease mortality and morbidity related to hip fractures.
- ICD-9 CM:
International Classification of Diseases, Ninth Revision, Clinical Modification
Injury severity score
Intensive Care Unit
Geriatric trauma service
Length of stay
Skilled nursing facility
Long term care.
Bentler SE, Liu L, Obrizan M, Cook EA, Wright KB, Geweke JF, Chrischilles EA, Pavlik CE, Wallace RB, Ohsfeldt RL, Jones MP, Rosenthal GE, Wolinsky FD: The aftermath of hip fracture: discharge placement, functional status change, and mortality. Am J Epidemiol. 2009, 170: 1290-1299. 10.1093/aje/kwp266.
Wolinsky FD, Fitzgerald JF, Stump TE: The effect of hip fracture on mortality, hospitalization, and functional status: a prospective study. Am J Public Health. 1997, 87: 398-403. 10.2105/AJPH.87.3.398.
Dy CJ, McCollister KE, Lubarsky DA, Lane JM: An economic evaluation of a systems-based strategy to expedite surgical treatment of hip fractures. J Bone Joint Surg. 2011, 93: 1326-1334. 10.2106/JBJS.I.01132.
Cummings SR, Rubin SM, Black D: The future of hip fractures in the United States. Numbers, costs, and potential effects of postmenopausal estrogen. Clin Orthop Relat Res. 1990, 252: 163-166.
White SM, Moppett IK, Griffiths R: Outcome by mode of anesthesia for hip fracture surgery. An observational audit of 65,535 patients in a national dataset. Anaesthesia. 2014, 69: 224-230. 10.1111/anae.12542.
Neuman MD, Rosenbaum PR, Ludwig JM, Zubizarreta JR, Silber JH: Anesthesia technique, mortality, and length of stay after hip fracture surgery. JAMA. 2014, 311: 2508-517. 10.1001/jama.2014.6499.
Stevens JA, Rudd RA: The impact of decreasing U.S. hip fracture rates on future hip fracture estimates. Osteoporis Int. 2013, 24: 2725-2728. 10.1007/s00198-013-2375-9.
Stevens JA, Rudd RA: Declining hip fracture rates in the United States. Age Ageing. 2010, 39: 500-503. 10.1093/ageing/afq044.
Brauer CA, Coca-Perraillon M, Cutler DM, Rosen AB: Incidence and Mortality of Hip Fractures in the United States. JAMA. 2009, 302: 1573-1579. 10.1001/jama.2009.1462.
Michelson JD, Myers A, Jinnah R, Cox Q, Van Natta M: Epidemiology of hip fractures among the elderly. Risk factors for fracture type Clin Orthop Relat Res. 1995, 311: 129-135.
Frost SA, Nguyen ND, Black DA, Eisman JA, Nguyen TV: Risk factors for in-hospital post-hip fracture mortality. Bone. 2011, 49: 553-558. 10.1016/j.bone.2011.06.002.
Hu F, Jiang C, Shen J, Tang P, Wang Y: Preoperative predictors for mortality following hip fracture surgery: A systematic review and meta-analysis Injury. Int J Care Inj. 2012, 43: 676-685. 10.1016/j.injury.2011.05.017.
Karagas MR, Lu-Yao GL, Barrett JA, Beach ML, Baron JA: Heterogeneity of hip fracture: age, race, sex, and geographic patterns of femoral neck and trochanteric fractures among the us elderly. Am J Epidemiol. 1996, 143: 667-682.
Brunner LC, Ehilian-Oates L: Hip fractures in adults. Am Fam Physician. 2003, 67: 537-543.
Katz JN, Wright EA, Polaris JJZ, Harris MB, Losina E: Prevalence and risk factors for periprosthetic fracture in older recipients of total hip replacement: a cohort study. BMC Musculoskelet Disord. 2014, 15: 168-10.1186/1471-2474-15-168.
Adams AL, Shi J, Takayanagi M, Dell RM, Funahashi TT, Jacobsen SJ: Ten-year hip fracture incidence rate trends in a large California population, 1997–2006. Osteoporos Int. 2012, 24: 373-376.
The authors would like to thank Kalyan Chaliki, Shaun M Stienstra, and Melissa M Moyer for their clerical assistance.
The authors declare that they have no competing interests.
AM conceived the study and its design and wrote the manuscript. MC collected and reviewed chest x-rays. PM independently reviewed x-rays and performed adjudication of cases where there were differences in classifying hip fracture patterns. LP reviewed several drafts of the manuscript. NZ also reviewed x-rays, CT scans, and prepared illustrations of the fractures. JS performed literature review and collected patient outcomes data. SC performed literature review, provided assistance in writing the manuscript, and prepared the manuscript for submission. OO reviewed manuscripts and made editorial changes. JD participated in the initial design of the study, collected data, performed statistical analysis, and assisted in preparing the final manuscript for submission. All authors have read and approved the manuscript.
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Mangram, A., Moeser, P., Corneille, M.G. et al. Geriatric trauma hip fractures: is there a difference in outcomes based on fracture patterns?. World J Emerg Surg 9, 59 (2014). https://doi.org/10.1186/1749-7922-9-59
- Femoral neck fractures
- Hip fractures
- Length of stay
- Hip fracture patterns
- Geriatric G-60