Journal List > J Korean Fract Soc > v.32(4) > 1138759

Jeong, Lee, and Park: Outcomes following Treatment of Geriatric Distal Femur Fractures with Analyzing Risk Factors for the Nonunion

Abstract

Purpose

Many international journals have published studies on the results of distal femoral fractures in elderly people, but only a few studies have been conducted on the Korean population. The aim of this study was to determine the factors that are associated with the outcomes and prognosis of fixation of distal femur fractures using the minimally invasive plate osteosynthesis (MIPO) technique in elderly patients (age≥60) and to determine the risk factors related with the occurrence of nonunion.

Materials and Methods

This study is a retrospective study. From January 2008 to June 2018, distal femur fracture (AO/OTA 33) patients who underwent surgical treatment (MIPO) were analyzed. A total of 52 patients were included in the study after removing 121 patients that met with the exclusion criteria. Medical records, including surgical records, were reviewed to evaluate the patients’ underlying disease, bone mineral density, the number of days delayed from surgery, complications and mortality. In addition, follow-up radiographs were used to determine bone union, delayed union and nonunion.

Results

The average time to achieve bone union was 19.95 weeks, the rate of nonunion was 20.0% (10/50) and the overall mortality was 3.8% (2/52). There were no significant differences in the clinical and radiological results of those patients with or without periprosthetic fracture. On the univariate analysis, which compared the union group vs. the nonunion group, no factors were identified as significant risk factors for nonunion. On the multiple logistic regression analysis, medical history of cancer was identified as a significant risk factor for nonunion (p=0.045).

Conclusion

The rate of nonunion is high in the Korean population of elderly people suffering from distal femur fracture, but the mortality rate appears to be low. A medical history of cancer is a significant risk factor for nonunion. Further prospective studies are required to determine other associated factors.

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Fig. 1.
Flow chart of the study population after exclusion of patients. ISS: injury severity score, IM: intramedullary, Fx.: fracture.
jkfs-32-188f1.tif
Fig. 2.
A 76-year-old woman slipped down and developed a right peripros-thtic distal femur fracture (A, B). We performed open reduction and internal affixation with dual plates (C, D), but after 16 months there was no sign of bone union (E, F). Although there were some fracture gaps and slightly shorter plate lengths, oligotrophic nonunion occurred and not hypertrophic nonunion. From here, we performed reoperation with changing plates with using autogenous iliac bone grafting, and union was then achieved (G, H).
jkfs-32-188f2.tif
Table 1.
Baseline Characteristics and Demographics
Characteristic Value
Subject 52
Age (yr) 71.08±6.2
Sex  
Male 8 (15.4)
Female 44 (84.6)
Body mass index (kg/m2) 24.20±2.85
Fracture type (AO/OTA classification)  
33A1 20 (38.5)
33A2 2 (3.8)
33A3 4 (7.7)
33B2 1 (1.9)
Fracture type (Su classification)  
1 13 (25.0)
2 12 (23.1)
Implant  
Plate only 43 (82.7)
Plate with wiring 9 (17.3)
Time from injury to surgery (d) 6.37±5.46
Follow-up duration (mo) 25.08±18.13
Hospital stay (d) 22.67±8.17

Values are presented as number only, mean±standard deviation, or number (%).

Table 2.
Selected Comorbidities, Postoperative Outcomes, Mortality Rates and Complications
Variable Value p-value
Mean BMD (T-score) –2.44±1.16  
Venous thromboembolism 3 (5.8)  
Pressure sore 1 (1.9)  
HTN 34 (65.4)  
DM 19 (36.5)  
Connective tissue disease 6 (11.5)  
Cardiovascular disease 10 (19.2)  
Cerebrovascular disease 2 (3.8)  
Cancer 3 (5.8)  
Charlson comorbidity index 4.25±1.2  
Preoperative ambulation state  
Independent – 35 (67.3)  
Cane 11 (21.2)  
Walker 0 (0)  
Wheelchair 2 (3.8)  
Bedridden 0 (0)  
Unknown 4 (7.7)  
Postoperative ambulation state    
Independent 22 (42.3)  
Cane 8 (15.4)  
Walker 5 (9.6)  
Wheelchair 3 (5.8)  
Bedridden 2 (3.8)  
Unknown 12 (23.1)  
Union time (wk) 19.95±7.89 0.684
Non-periprosthetic Fx. 20.40±8.55  
Periprosthetic Fx. 19.52±7.39  
Nonunion 10/50 (20.0) 0.480
Non-periprosthetic Fx. 6/25 (24.0)  
Periprosthetic Fx. 4/25 (16.0)  
Mortality 2/52 (3.8) 0.491
Non-periprosthetic Fx. 2/27 (7.4)  
Periprosthetic Fx. 0 (0)  

Values are presented as mean±standard deviation, or number (%). BMD: bone mineral density, HTN: hypertension, DM: diabetes mellitus, Fx.: fracture.

Table 3.
Comparison between the Union and Nonunion Groups
Variable Union Nonunion p-value
Subject 40 10  
Age (yr) 70.95±6.35 70.80±5.6 0.946
Sex     0.653
Male 6 (15.0) 2 (20.0)  
Female 34 (85.0) 8 (80.0)  
Body mass index (kg/m2) 24.37±2.89 24.00±2.93 0.718
Fx. type     0.661
AO 33A1 12 (30.0) 6 (60.0)  
AO 33A2 2 (5.0) 0  
AO 33A3 4 (10.0) 0  
AO 33B2 1 (2.5) 0  
Su 1 11 (27.5) 2 (20.0)  
Su 2 10 (25.0) 2 (20.0)  
Implant     >0.999
Plate only 33 (82.5) 8 (80.0)  
Plate with wiring 7 (17.5) 2 (20.0)  
Surgical factor*     0.174
Acceptable 38 (95.0) 8 (80.0)  
Unacceptable 2 (5.0) 2 (20.0)  
Time from injury to surgery (d) 6.05±5.25 7.80±5.71 0.092
Mean BMD (T-score) –2.41±1.05 –2.61±1.69 0.680
Periprosthetic Fx. 21 (52.5) 4 (40.0) 0.480
HTN 25 (62.5) 7 (70.0) 0.730
DM 13 (32.5) 4 (40.0) 0.717
Connective tissue disease 4 (10.0) 2 (20.0) 0.586
Cardiovascular disease 6 (15.0) 2 (20.0) 0.653
Cerebrovascular disease 1 (2.5) 0 >0.999
Cancer 1 (2.5) 2 (20.0) 0.098
Charlson comorbidity index 4.05±1.21 4.60±1.22 0.283

Values are presented as number only, mean±standard deviation, or number (%). *Acceptable surgical factor means sufficient plate length, screw length, a great enough number of screws, and unacceptable surgical factor is a term used when any one of the above factors is not met. Fx.: fracture, BMD: bone mineral density, HTN: hypertension, DM: diabetes mellitus.

Table 4.
Multiple Logistic Regression Analysis of Nonunion
Variable Odds ratio 95% confidence interval p-value
Time from injury to surgery 1.116 0.978–1.274 0.102
Body mass index 1.107 0.819–1.496 0.510
Diabetes mellitus 2.165 0.401–11.671 0.369
Cancer 14.389 1.724–273.967 0.045
Charlson comorbidity index 1.388 0.656–2.937 0.392
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