What are the Risks of Death in Elderly Patients after a Proximal Femur Fracture at Aristide le Dantec Hospital? ()
1. Introduction
Proximal femur fractures are traumatic injuries involving the neck and trochanteric region of the femur. Their occurrence in the elderly is particularly distressing for patients and their families. Long considered rare in Africa, proximal femur fractures are becoming a reality [1]-[4].
They are associated with high mortality to the point of being considered the way elderly people die. The aim of this study was to assess the risk factors for death in the elderly following proximal femur fracture at Aristide le Dantec Hospital.
2. Patients and Methods
This was a prospective, observational, longitudinal study conducted over an 18-month period in the Orthopedics-Traumatology unit of the Surgical Emergency Department at Hôpital Aristide Le Dantec.
The source population consisted of patients admitted to the Orthopedics and Traumatology Unit of the Surgical Emergency Department. These patients were aged 15 or over, irrespective of the type of emergency. There were 3875 of them.
The target population was patients with proximal femur fractures (142 patients).
The study included patients with proximal femur fractures aged at least 60 years and whose fracture date was less than 3 weeks. Fractures more than 3 weeks old were not included in the study, because they were not seen in the surgical emergency department, but rather in a regular consultation in the Orthopaedics-Traumatology Department. Patients lost to follow-up (6 patients) were excluded from the study.
This enabled us to select a total of 93 patients. Mortality was measured by taking into account socio-demographic, clinical and therapeutic characteristics (Tables 1-3).
Table 1. Socio-demographic characteristics.
Features |
Number |
Percentage |
Age |
|
|
Seniors |
45 |
48.4 |
Older people |
44 |
47.3 |
Grand old men |
4 |
4.3 |
Type |
|
|
Male |
50 |
53.7 |
Female |
43 |
46.2 |
Place of residence |
|
|
Urban |
75 |
80.6 |
Rural |
18 |
19.3 |
Table 2. Clinical features.
Features |
Number |
Percentage |
Admission deadline |
|
|
<48 h |
67 |
72 |
>48 h |
26 |
28 |
Comorbidities |
|
|
0 |
17 |
18.3 |
1 |
48 |
51.6 |
2 |
25 |
26.9 |
≥3 |
3 |
3.2 |
Cognitive functions |
|
|
Normal |
83 |
89.2 |
Altered |
10 |
10.8 |
Fracture site |
|
|
Femoral neck |
50 |
53.7 |
Trochanterian massif |
38 |
40.8 |
Subtrochanteric |
5 |
5.4 |
Table 3. Therapeutic characteristics.
Features |
Number |
Percentage |
Operating time |
|
|
<48 h |
17 |
20.5 |
>48 h |
66 |
79.5 |
ASA score |
|
|
ASA 1 |
6 |
7.2 |
ASA 2 |
73 |
87.5 |
ASA 3 |
12 |
14.4 |
ASA 4 |
2 |
2.4 |
Anaesthesia performed |
|
|
Spinal anaesthesia |
65 |
78.3 |
RA + AG |
10 |
12 |
AG |
8 |
9.6 |
Treatment performed |
|
|
Abstention |
7 |
7.8 |
Osteosynthesis |
56 |
62.2 |
Arthroplasty |
27 |
30 |
Of the patients evaluated, seven (7) did not undergo surgery: four (4) for financial reasons and three (3) because surgery was contraindicated. These included five trochanteric fractures and two femoral neck fractures.
Eighty-three (83) patients underwent surgical treatment.
The types of osteosynthesis performed were:
All patients with femoral neck fractures underwent intermediate arthroplasty.
Data analysis was performed using SPSS 17.0 software. Continuous variables were compared using the ANOVA test, and scale variables using Fisher’s exact test. The significant threshold was 0.05.
3. Results
The number of patients who died was 19 (20.43%).
In-hospital mortality concerned 3 patients (3.22%). These patients died while awaiting surgery.
Out-of-hospital mortality involved 16 patients (17.20%):
There was no significant difference in mortality according to age, gender or residence. Table 4 shows the relationship between mortality and socio-demographic parameters.
There was no association between time to admission and mortality (P = 0.33). The association between the number of comorbidities and mortality was significant (P = 0.04). Table 5 shows mortality as a function of clinical parameters.
The relationship between mortality and ASA score and type of treatment was highly significant (Table 6).
Operating time had no influence on mortality (P = 0.11). Type of anaesthesia, on the other hand, did influence mortality. Table 7 shows mortality as a function of operating time and anesthesia type.
Table 4. Mortality as a function of socio-demographic parameters.
Variable |
Group |
Deceased (n = 19) |
Survivor (n = 74) |
Total (n = 93) |
P |
|
n |
% |
n |
% |
n |
% |
|
Age |
|
|
|
|
|
|
|
Gérontin |
6 |
13.3 |
39 |
86.7 |
45 |
48.4 |
0.09 |
Old man |
13 |
29.5 |
31 |
70.5 |
44 |
47.3 |
Grand old man |
0 |
0 |
4 |
100 |
4 |
4.3 |
Type |
|
|
|
|
|
|
|
Male |
8 |
16 |
42 |
84 |
50 |
53.7 |
0.45 |
Female |
11 |
25.6 |
32 |
74.4 |
43 |
46.2 |
Place of residence |
|
|
|
|
|
|
|
Urban |
17 |
22.7 |
58 |
77.3 |
75 |
80.6 |
0.28 |
Rural |
2 |
11.1 |
16 |
88.9 |
18 |
19.4 |
Table 5. Mortality by clinical parameter.
Variable |
Group |
Deceased (n = 19) |
Survivor (n = 74) |
Total (n = 93) |
P |
|
n |
% |
n |
% |
n |
% |
|
Admission deadline |
|
|
|
|
|
|
|
<48 h |
12 |
17.9 |
55 |
82.1 |
67 |
72 |
0.33 |
>48 h |
7 |
26.9 |
19 |
73.1 |
26 |
28 |
Comorbidities |
|
|
|
|
|
|
|
<3 |
17 |
18.9 |
73 |
81.1 |
90 |
96.8 |
0.04 |
>3 |
2 |
66.7 |
1 |
33.3 |
3 |
3.2 |
Cognitive function |
|
|
|
|
|
|
|
Normal |
10 |
12 |
73 |
88 |
83 |
89.2 |
0.01 |
Altered |
9 |
90 |
1 |
10 |
10 |
10.8 |
Headquarters |
|
|
|
|
|
|
|
Trochanterian massif |
8 |
16 |
42 |
84 |
50 |
53.7 |
0.16 |
Femoral neck |
11 |
28.9 |
27 |
71.1 |
38 |
40.8 |
Subtrochanterian |
0 |
0 |
5 |
100 |
5 |
5.4 |
Table 6. Mortality by ASA score and type of treatment.
Variable |
Group |
Deceased (n = 19) |
Survivor (n = 74) |
Total (n = 93) |
P |
|
n |
% |
n |
% |
n |
% |
|
ASA score |
|
|
|
|
|
|
|
ASA1 |
0 |
0 |
6 |
100 |
6 |
7.2 |
0.01 |
ASA2 |
13 |
17.8 |
60 |
82.2 |
73 |
87.5 |
ASA3 |
4 |
33.3 |
8 |
66.7 |
12 |
14.4 |
ASA4 |
2 |
100 |
0 |
0 |
2 |
2.4 |
Type of treatment |
|
|
|
|
|
|
|
Surgical abstention |
5 |
71.4 |
2 |
28.6 |
7 |
7.8 |
0.01 |
Osteosynthesis |
4 |
7.1 |
52 |
92.9 |
56 |
62.2 |
Arthroplasty |
7 |
25.9 |
20 |
74.1 |
27 |
30 |
Table 7. Mortality by operative time and type of anaesthesia.
Variable |
Group |
Deceased (n = 11) |
Survivor (n = 72) |
Total (n = 83) |
P |
|
n |
% |
n |
% |
n |
% |
|
Operating time |
|
|
|
|
|
|
|
<48 h |
1 |
5.9 |
16 |
94.1 |
17 |
20.5 |
0.11 |
>48 h |
10 |
15.1 |
56 |
84.8 |
66 |
79.5 |
|
Type of anesthesia |
|
|
|
|
|
|
|
RA |
4 |
6.1 |
61 |
93.8 |
65 |
78.3 |
0.01 |
RA + AG |
3 |
30 |
7 |
70 |
10 |
12 |
AG |
4 |
50 |
4 |
50 |
8 |
9.6 |
RA = Rachianesthesia AG = General anesthesia.
4. Discussion
The mortality rate we found was close to that reported by other authors [5]-[7].
By age, the highest mortality rate was found among the elderly, representing more than twice the mortality rate of the geriatric population. There were no deaths among the very old. Advanced age is a predictive factor for mortality in hip fractures [7]. In our study, there was no correlation between age and mortality.
Female mortality was higher than male. The study by Hebattu-allah et al. [5] reported a male predominance. Most studies agree on the predominance of males in proximal femur fracture mortality [8] [9]. Gender had no influence on mortality in our series.
We recorded twice as many deaths among patients living in urban areas. This may be explained by the greater frequency of comorbidities in urban patients than in those living in rural areas. It would appear that proximal femur fractures are an urban condition, and that comorbidities are more frequent in urban patients [10]. However, this study does not show a significant link between mortality and place of residence.
Late patient admission is considered a factor contributing to increased morbidity and mortality, due to the risk of embolic disorders [11]. In the present study, we found no correlation between admission delay and mortality rate. Clague et al. [12] made the same observation.
This study showed a correlation between mortality and the number of comorbidities. Roche et al. [13] found that the risk of death within 30 days post-op was high for patients with three (3) or more comorbidities.
Patients with impaired cognitive function had higher mortality. The assessment of our patients’ cognitive functions was inspired by the Senegal test, a screening test for dementia in the elderly [14].
The presence of delirium or dementia prior to or following proximal femur fracture in the elderly is recognized as a poor prognostic factor. This fact has been reported by several authors [15] [16].
The mortality rate for trochanteric fractures is slightly higher than for cervical fractures. This result differs from that reported by Hebattu-allah [5]. He found a higher mortality rate for cervical fractures. Fracture site has no influence on mortality.
The mortality rate was proportional to the ASA score. The higher the ASA score, the higher the mortality. This observation was made by Usoigwe et al. [17]. The ASA score is a powerful predictor of hip fracture mortality in the elderly.
The mortality rate of patients operated on 72 hours after the trauma was at least three times higher than that of patients operated on between 24 and 48 hours. This difference was not statistically significant.
There is no consensus on the relationship between surgical delay and mortality in this condition. Some authors report a benefit of early surgery [17] [18]. Others have found that surgical delay has very little impact on mortality [19].
As far as we are concerned, early or delayed surgery, the most important thing is to rigorously manage the comorbidities that lead to death.
The benefits of surgical management of proximal femur fractures are well established [20]-[22]. Surgery avoids complications that can lead to death. Non-operative treatment carries a high mortality risk. It is reserved for exceptional contraindications, such as elderly, frail, high-risk patients [21] [22].
In our context, lack of financial resources was a reason for non-operative treatment.
The mortality rate for patients undergoing surgery was higher for arthroplasties.
High mortality was recorded in patients who underwent spinal anesthesia combined with general anesthesia. This association was explained by operative difficulties that prolonged the duration of the procedure. Longer operating times increase the risk of morbidity and mortality. The link between type of anesthesia and mortality was significant.
5. Conclusion
Mortality due to proximal femur fractures in the elderly remains high. In our practice, this mortality was related to the presence of comorbidity, cognitive impairment, ASA score, type of treatment and type of anesthesia.