Abstract
Objective
To investigate the incidences of deep vein thrombosis (DVT) before and after operation in inpatients with hip fractures in both lower extremities.
Patients and methods
We collected the clinical data of 463 patients with lower extremities fractures who presented at Xi’an Honghui Hospital between July 1, 2014, and October 31, 2016 and met all the inclusion criteria. Doppler ultrasonography was used to diagnose DVT. The patients were examined preoperatively and postoperatively and divided into the thrombosis and non-thrombosis group according to the ultrasonographic findings. We divided the DVT cases into central, peripheral, and mixed thromboses.
Results
The incidence of preoperative DVT was 34.98%, and the prevalence of DVT on the uninjured side was 13.60%. This composition ratio increased to 57.23% postoperatively, and the prevalence of DVT on the uninjured side was 25.05%. Age (odds ratio [OR], 1.03; 95% CI: 1.01–1.04; P=0.002), venous thrombosis at admission (OR, 4.05; 95% CI, 2.30–7.13; P=0.000), and the days between the fracture and the operation (OR, 1.10; 95% CI, 1.02–1.20; P=0.020) were the independent risk factors of preoperative DVT. Coronary heart disease (OR, 1.85; 95% CI: 1.18–2.89; P=0.007), venous thrombosis at admission (OR, 22.35; 95% CI: 6.78–73.60; P=0.000), days between fracture and operation (OR, 1.06; 95% CI: 1.01–1.11; P=0.021), and blood loss (OR, 1.002; 95% CI: 1.000–1.003; P=0.014) were independent risk factors of postoperative DVT.
Conclusion
The actual incidence of DVT after hip fracture may be underestimated. The incidences of preoperative and postoperative DVTs and the incidence of DVT on the uninjured limb were high.
Keywords: deep vein thrombosis, ultrasonography, hip fracture, anticoagulation, low-molecular-weight heparin
Introduction
Deep vein thrombosis (DVT) of the lower extremities is a common complication in patients with trauma. It should be prevented and treated without delay; otherwise, it can lead to chronic pain; secondary varicose veins; and ulcers, which can seriously affect the quality of life of patients and even cause fatal pulmonary embolism.1 In recent years, orthopedists have paid increasing attention to the prophylaxis and treatment of DVT. At present, drug prevention is considered as one of the most effective methods to decrease the risk of lower extremity DVT.2 Traditional low-molecular-weight heparin (LMWH)3 is used as the standard protocol.
The prevalence of DVT of the hip after trauma is reported to range from 11.1% to 32.8%4–6 in recent studies. Pooling data from the injured limbs, Song et al reported that 29.4% of preoperative patients have DVT, and the postoperative incidence has increased to 32.8%.5 In fact, the uninjured limb could also carry a risk of DVT. Meissner et al suggested that the hypercoagulation state persists for at least 1 month after an injury in 80% of patients.7 Therefore, DVT could also arise in the uninjured limb. Decker et al demonstrated that DVT could occur in both the injured and uninjured leg, with a trend for higher incidences in the injured leg.8 Mok et al reported that the incidence of DVT in uninjured limbs was 14.3%.9 In addition, some studies reported only symptomatic DVT, ignoring asymptomatic DVT. In fact, Sun et al reported that asymptomatic DVT accounts for about 75% of all DVTs.10 Some studies even reported that all patients who had DVT were clinically asymptomatic.11,12
On the basis of these factors, we consider that the actual incidence of DVT after hip fracture is underestimated. This study was aimed at retrospectively analyzing the data of patients with hip fractures at Xi’an Honghui Hospital. The purpose was to investigate the incidences of DVT before and after operation in inpatients with hip fractures in both lower extremities.
Patients and methods
Ethical statement
This study retrospectively analyzed the data of patients with hip fractures who were admitted between July 1, 2014, and October 31, 2016, in Xi’an Honghui Hospital. The study was approved by the institutional review board of Xi’an JiaoTong University, and a signed informed consent form was obtained from each participant.
Inclusion and exclusion criteria
The inclusion criteria were as follows: 1) age ≥16 years; 2) fresh hip fractures that require surgical treatment; 3) hospital stay of >48 h; 4) willing to undergo anticoagulant therapy to prevent thrombosis and submitted a signed informed consent form; and 5) availability of preoperative and postoperative ultrasonography results. The Risk Assessment Profile for Thromboembolism (RAPT) score of the patients was moderate to high.
The exclusion criteria were as follows: hip fractures with delayed treatment (>3 weeks from injury to surgery); open soft tissue fractures; serious medical problems that make the patients intolerant to surgery; poor compliance patients; and patients who refuse to participate in the study. We excluded the delayed hip fractures because of the long time gap between the fracture and the operation. Open soft tissue fractures were also excluded because these injuries were usually related to high energy damage. Also, to prevent allergy, ischemic stroke and bleeding events, patients with anticoagulation contraindications were excluded from the study such as patients with history of allergy to the anticoagulation drugs, patients with acute bacterial endocarditis, thrombocytopenia, fresh hemorrhage, and stroke in 3 months.
Methods
All the patients who were admitted to the hospital were routinely assessed using the RAPT score for thromboembolism risk. At the same time, we also assessed whether the patients had anticoagulation contraindications. For patients without anticoagulation contraindications, LMWH (0.4 mL, once a day; Glaxo Wellcome Production, GlaxoSmithKline, Tianjin, China) was subcutaneously injected to prevent DVT. In addition, mechanical thrombo-prophylaxis (pressure pump, 20 min twice a day) was used. Blood samples were collected on admission (2 h after admission), 1 day before the operation, and 1 and 5 days after the operation. The aim testing index included D-dimer and routine blood tests. These timing points were identified to evaluate the patients’ general condition and the coagulation state at admission, preoperatively and postoperatively, and before discharge.
We used Doppler ultrasonography to diagnose DVT. The diagnostic criteria were in accordance with the Robinov group’s criteria.13 The patients were examined before and after operation. All the patients received ultrasonography in both lower limbs 1 day before the planned surgery and on days 3–5 after operation. DVTs were classified into 3 types: central (femoral and iliac veins), peripheral (calf muscle veins, fibular vein, and anterior/posterior tibial vein), and both central and peripheral thrombosis (called mixed DVT; popliteal vein).
According to ultrasonography results, the patients were divided into 2 groups, a thrombosis group and a non-thrombosis group. For the patients without thrombosis, LMWH was continuously subcutaneously injected to prevent DVT. For the patients with thrombosis, LMWH was subcutaneously injected to treat DVT. The protocol of therapeutic anticoagulation was guided by hospital consultation from the department of vascular surgery. When ultrasonography results showed central or mixed thrombosis preoperatively, evaluation was performed by the department of vascular surgery and an inferior vena cava (IVC) filter was used to prevent fatal pulmonary embolism if needed. The anticoagulant therapy was discontinued 12 h before the surgery and resumed 24 h after the surgery. When the patients were discharged, the protocol was changed to rivaroxaban (prophylaxis dose 10 mg once daily and therapeutic dose 20 mg once daily; Bayer Pharma AG, Germany) until 35 days after the operation.
Statistical analysis
Statistical analysis was performed using the SPSS (Version 19.0, SPSS Inc., Chicago, IL, USA). The measurement data were assessed for normal or non-normal distribution. An independent sample t-test was used in the statistical analysis. For the enumeration data, the chi-square test was used. A multivariate analysis was used to detect the risk factors. The difference was statistically significant (P<0.05).
Results
Patient characteristics
In total, 1,684 patients with lower extremity fractures were screened. After applying the exclusion criteria, 463 patients with hip fractures who were admitted to our hospital between July 1, 2014, and October 31, 2016, were included. All the patients were treated with LMWH at admission. The patients’ mean (±SD) age was 72.86 (±13.79) years (range, 19–102 years). Of these patients, 288 (62.20%) were female and 175 (37.79%) were male. Of these patients, 218 had inter-trochanteric fractures, 17 had subtrochanteric fractures, and 228 had femoral neck fractures. All the patients underwent surgery. Open reduction internal fixations (ORIFs) were performed in 278 patients; hemiarthroplasty in 156 patients; total hip replacement in 28 patients; and external fixation in 1 patient. Of the 463 patients, there were only 2 patients who underwent placement of the IVC filter before operation, and the IVCs were taken out after the operation. Postoperative infection rate was 0.2% (1/463), only 1 woman suffered with superficial infection and it was controlled with an oral antibiotic. No fatal bleeding events or bleeding into a critical site was found in this study.
Prevalence of DVT on preoperative ultrasonography
On the basis of the preoperative ultrasonography result, the characteristics of the patients with hip fractures, with and without thrombosis, were compared. As a result, 162 patients were found to have thrombosis (34.98%) and 301 had no thrombosis (65.01%; Table 1). Of the cases, 30.9% were peripheral DVTs; 0.9% were central DVTs; and 3.2% were mixed DVTs. Peripheral DVTs constituted 88.27% (143/162) of all DVTs.
Table 1.
Patient characteristics according to preoperative ultrasound
| Items | Thrombosis | No thrombosis | Overall | P-value |
|---|---|---|---|---|
| Number | 162 | 301 | 463 | |
| Age | 75.36±11.93 | 71.51±14.53 | 72.86±13.79 | 0.002 |
| Sex | ||||
| Female | 109 | 179 | 288 | 0.098 |
| Male | 53 | 122 | 175 | |
| Unilateral or bilateral fracture | ||||
| Left low limb | 89 | 169 | 258 | 0.803 |
| Right low limb | 73 | 132 | 205 | |
| Types of fracture | ||||
| Intertrochanteric fracture | 82 | 136 | 218 | 0.400 |
| Subtrochanteric fracture | 7 | 10 | 17 | |
| Femoral neck fracture | 73 | 155 | 228 | |
| Medical morbidity | ||||
| Hypertension (%) | 55 (33.95) | 99 (32.89) | 154 | 0.817 |
| Diabetes (%) | 26 (16.05) | 34 (11.30) | 60 | 0.146 |
| Coronary heart disease (%) | 61 (37.65) | 94 (31.23) | 155 | 0.162 |
| Arrhythmia (%) | 22 (13.58) | 38 (12.62) | 60 | 0.770 |
| Stroke (%) | 13 (8.02) | 29 (9.63) | 42 | 0.565 |
| Venous thrombosis at admission (%) | 40 (24.69) | 26 (8.64) | 66 | 0.000 |
| Associated trauma (%) | 9 (5.55) | 15 (4.98) | 24 | 0.791 |
| BMI | 22.45±3.85 | 22.49±3.90 | 22.48±3.87 | 0.948 |
| Days between fracture and hospitalization (days) | 2.49±5.12 | 1.39±3.35 | 1.77±4.09 | 0.015 |
| Days between fracture and operation (days) | 7.07±6.12 | 5.30±5.16 | 5.93±5.58 | 0.002 |
| ASA classification | ||||
| 1 | 5 | 23 | 28 | 0.254 |
| 2 | 107 | 188 | 295 | |
| 3 | 49 | 87 | 136 | |
| 4 | 3 | 1 | 4 | |
| Serum markers | ||||
| D-dimer at admission (mg/L) | 14.46±14.90 | 15.72±18.71 | 15.29±17.54 | 0.445 |
| D-dimer preoperatively (mg/L) | 7.46±7.28 | 5.80±9.42 | 6.50±8.61 | 0.153 |
| CRP at admission (mg/L) | 22.47±34.03 | 18.39±29.98 | 19.75±31.39 | 0.297 |
Notes: Coronary heart disease includes chronic myocardial ischemia, ST segment changes without clinical symptoms, and delayed myocardial infarction in electrocardiograms. Arrhythmia includes all kinds of arrhythmia in electrocardiograms. Stroke includes fresh and delayed cerebral ischemia and hemorrhage on CT or MRI.
Abbreviations: ASA, American Society of Anesthesiologists; BMI, body mass index; CRP, C-reactive protein; CT, computed tomography.
A total of 162 patients had DVT. However, some DVTs existed in the uninjured side and not on the affected side. Of the patients, 20 who had left hip fracture had DVT in both lower extremities, 14 who had left hip fracture had right lower extremity DVT, 16 who had right hip fracture had left lower extremity DVT, and 13 who had right hip fracture had DVT in both lower extremities. Ninety-nine patients had single injured lower extremity DVT. The prevalence of DVT on the uninjured side was 13.60% (63/463), accounting for 38.89% (63/162) of all preoperative DVTs.
Univariate analysis of preoperative DVT
Between the 2 groups, no statistically significant differences were observed in sex, unilateral or bilateral limb, type of fracture, medical morbidity (excluding venous thrombosis at admission), body mass index (BMI), American Society of Anesthesiologists classification, D-dimer level at admission and preoperatively, and C-reactive protein (CRP) level at admission. However, the thrombosis group had more patients with an identified venous thrombosis at admission than the non-thrombosis group (24.69% vs 8.64%, P = 0.000). In addition, the number of days between the fracture and the hospitalization (2.49±5.12 vs 1.39±3.35 days, P = 0.015) and the number of days between the fracture and the operation (7.07±6.12 vs 5.30±5.16 days, P=0.002) were 2 other vital contributing factors to thrombosis, as shown in Table 1.
Multivariate analysis of preoperative DVT
A multivariate analysis was used to detect the risk factors by entering age, venous thrombosis at admission, number of days between the fracture and the hospitalization, and number of days between the fracture and the operation. The results showed that age (OR, 1.03; 95% CI: 1.01–1.04; P=0.002), venous thrombosis at admission (OR, 4.05; 95% CI: 2.30–7.13; P=0.000), and the number of days between the fracture and the operation (OR, 1.10; 95% CI: 1.02–1.20; P=0.020) were independent risk factors of preoperative DVT (Figure 1A).
Figure 1.
The risk factors of DVT formation in hip fracture. (A) The contributing factors to preoperative DVT. (B) The contributing factors to postoperative DVT.
Abbreviation: DVT, deep vein thrombosis.
Prevalence of DVT on postoperative ultrasonography
All the cases were examined using ultrasonography after the operation to identify the thrombosis in the lower limbs, including 265 patients with thrombosis (57.23%) and 198 patients without thrombosis (42.76%). Of the cases, 49.9% were peripheral DVT, 1.1% were central DVT, and 6.3% were mixed DVT. Peripheral DVTs constituted 87.17% (231/265) of all DVTs (Table 2).
Table 2.
Patient characteristics according to postoperative ultrasound
| Thrombosis | No thrombosis | Overall | P-value | |
|---|---|---|---|---|
| Number | 265 | 198 | 463 | |
| Age | 73.72±12.18 | 71.72±15.65 | 72.86±13.79 | 0.137 |
| Sex | ||||
| Female | 177 | 111 | 288 | 0.018 |
| Male | 88 | 87 | 175 | |
| Unilateral or bilateral fracture | ||||
| Left low limb | 147 | 111 | 258 | 0.900 |
| Right low limb | 118 | 87 | 205 | |
| Types of fracture | ||||
| Intertrochanteric fracture | 128 | 90 | 218 | 0.805 |
| Subtrochanteric fracture | 9 | 8 | 17 | |
| Femoral neck fracture | 128 | 100 | 228 | |
| Medical morbidity | ||||
| Hypertension (%) | 91 | 63 | 154 | 0.569 |
| Diabetes (%) | 37 | 23 | 60 | 0.457 |
| Coronary heart disease (%) | 99 | 56 | 155 | 0.041 |
| Arrhythmia (%) | 32 | 28 | 60 | 0.513 |
| Stroke (%) | 20 | 22 | 42 | 0.186 |
| Venous thrombosis at admission (%) | 63 | 3 | 66 | 0.000 |
| Associated trauma (%) | 16 | 8 | 24 | 0.338 |
| BMI | 22.65±4.07 | 22.23±3.58 | 22.48±3.87 | 0.471 |
| Length of hospital | 9.69±7.09 | 9.47±4.12 | 9.60±6.00 | 0.696 |
| Days between fracture and hospitalization (days) | 2.02±4.66 | 1.44±3.14 | 1.77±4.08 | 0.115 |
| Days between fracture and operation (days) | 6.49±5.45 | 5.16±5.70 | 5.93±5.58 | 0.013 |
| ASA classification | ||||
| 1 | 11 | 17 | 28 | 0.047 |
| 2 | 182 | 113 | 295 | |
| 3 | 70 | 66 | 136 | |
| 4 | 2 | 2 | 4 | |
| Surgical procedures | ||||
| ORIF | 151 | 127 | 278 | 0.099 |
| Hemiarthroplasty | 93 | 63 | 156 | |
| THR | 21 | 7 | 28 | |
| EF | 0 | 1 | 1 | |
| Duration of operation (mins) | 98.37±47.67 | 92.42±48.81 | 95.82±48.20 | 0.191 |
| Transfusion (U) | 1.23±1.46 | 1.10±1.37 | 1.17±1.42 | 0.335 |
| Blood loss (mL) | 275.55±163.49 | 231.68±117.12 | 256.82±146.97 | 0.001 |
| Liquid transfusion (mL) | 1,641.70±489.86 | 1,626.53±459.22 | 1,635.24±476.60 | 0.736 |
| Drainage (mL) | 172.41±59.30 | 157.67±68.98 | 165.41±64.29 | 0.151 |
| Post-operative infection | 1 | 0 | 1 | 1.000 |
| Serum markers | ||||
| D-dimer at admission (mg/L) | 15.39±16.34 | 15.15±19.01 | 15.29±17.54 | 0.885 |
| D-dimer preoperatively (mg/L) | 7.48±10.26 | 4.94±4.65 | 6.50±8.60 | 0.016 |
| D-dimer at postoperative 1 day (mg/L) | 10.88±10.00 | 6.38±5.80 | 8.96±8.74 | 0.000 |
| D-dimer at postoperative 5 day (mg/L) | 10.95±7.84 | 6.48±3.90 | 8.83±6.65 | 0.000 |
| CRP at admission (mg/L) | 20.25±31.83 | 19.17±30.97 | 19.75±31.39 | 0.771 |
| CRP at postoperative 5 day (mg/L) | 35.96±52.29 | 21.36±36.11 | 29.47±46.27 | 0.025 |
Abbreviations: ASA, American Society of Anesthesiologists; BMI, body mass index; CRP, C-reactive protein; EF, external fixation; ORIF, open reduction internal fixation; THR, total hip replacement.
However, some DVTs occurred on the uninjured side and not the affected side. Of the patients, 44 who had left hip fracture had DVT in both lower extremities, 13 who had left hip fracture had right lower extremity DVT, 13 who had right hip fracture had left lower extremity DVT, and 46 who had right hip fracture had DVT in both lower extremities. Single injured lower extremity DVT was found in 149 patients. The prevalence of DVT on the uninjured side was 25.05% (116/463), accounting for 43.77% (116/265) of all postoperative DVTs.
Univariate analysis of postoperative DVT
Between the 2 groups, no statistically significant differences were found in age, unilateral or bilateral limbs, type of fracture, medical morbidity (excluding coronary heart disease or venous thrombosis at admission), BMI, length of hospital stay, number of days between the fracture and the hospitalization, operation duration, transfusion, liquid transfusion, drainage, D-dimer level at admission, and CRP level at admission. However, the thrombosis group had more female patients (P=0.018) than the non-thrombosis group. Similar to the preoperative ultrasonography finding, venous thrombosis at admission was a contributing factor to postoperative thrombosis (P=0.000). In addition, coronary heart disease was another important contributing factor to postoperative thrombosis (P=0.041). The number of days between fracture and operation (6.49±5.45 vs 5.16±5.70 days, P=0.013) was another contributing factor to postoperative thrombosis. Among the serum markers, the D-dimer levels preoperatively, postoperative day 1, and postoperative day 5, and the CRP level on postoperative day 5 were obviously higher in the thrombosis group, as shown in Table 2.
Multivariate analysis of postoperative DVT
A multivariate analysis was used to identify the risk factors by entering sex, coronary heart disease, venous thrombosis at admission, number of days between the fracture and the operation, and blood loss. The results showed that coronary heart disease (OR, 1.85; 95% CI: 1.18–2.89; P=0.007), venous thrombosis at admission (OR, 22.35; 95% CI: 6.78–73.60; P=0.000), number of days between fracture and operation (OR, 1.06; 95% CI: 1.01–1.11; P=0.021), and blood loss (OR, 1.002; 95% CI: 1.000–1.003; P=0.014) were independent risk factors of postoperative DVT (Figure 1B).
Dynamic changes of DVT before and after operation
The dynamic changes of DVT before and after operation are shown in Figure 2. We defined “thrombosis” as “1” and “no thrombosis” as “0” to compare the changes of DVT from preoperatively to postoperatively. The results showed that the postoperative incidence of DVT was higher than its preoperative incidence (t=9.81, P=0.000).
Figure 2.
Dynamic changes of DVT before and after operation.
Abbreviation: DVT, deep vein thrombosis.
Of the patients, 65.44% (39.52%, 24.62%, 0.22%, and 1.08%) showed no changes in hospitalization duration. Moreover, 3.24% of the patients who had preoperative peripheral DVT no longer had thrombosis postoperatively. In addition, 25.48% (23.11%, 0.43%, and 1.94%) of the patients progressed from having no thrombosis preoperatively to having peripheral, central, or mixed DVT postoperatively.
Discussion
Most previous research studies mainly analyzed the distribution of DVTs in different fractures3 or the contributing risk factors to duration of hospitalization due to DVT.4 As far as we know, this is the first retrospective study focusing on the changes of preoperative and postoperative DVTs in patients with hip fractures in both lower limbs, and our findings are as follows: 1) the incidence of preoperative DVT was 34.98%, and this composition ratio increased to 57.23% postoperatively; 2) the prevalence of preoperative DVT on the uninjured side was 13.60%, accounting for 38.89% of all preoperative DVTs; the prevalence of postoperative DVT on the uninjured side was 25.05%, accounting for 43.77% of all postoperative DVTs; 3) age, venous thrombosis at admission, and number of days between the fracture and the operation were independent risk factors of preoperative DVT; 4) coronary heart disease, venous thrombosis at admission, number of days between the fracture and the operation, and blood loss were independent risk factors of postoperative DVT; 5) peripheral DVT constituted 88.27% and 87.17% of all preoperative and postoperative DVTs, respectively.
Too many factors contribute to the formation of thrombosis after trauma,14,15 including fracture and operation.5,16 In this study, we found that not only was the incidence of postoperative DVT higher than preoperative DVT but also that the incidence of DVT in the uninjured lower extremity increased from 13.60% to 25.05%. Hypercoagulation state, a boosting thrombosis factor, may be the main contributing factor to this phenomenon. Selby et al and Meissner et al proved that hypercoagulability state persists for a long time after fractures.7,17 In addition, the operation itself is the introducing factor of hypercoagulability states.18,19 Thus, the occurrence of DVT in the uninjured limb and increased incidence of DVT are easy to comprehend. Similar to operation, blood loss is another factor that promotes hypercoagulability states.20 In the multivariate analysis of postoperative DVT, blood loss was an independent risk factor (OR, 1.002; P=0.014). Blood loss in the thrombosis group (275.55±163.49 mL) was greater than the non-thrombosis group (231.68±117.12 mL). However, no significant differences in transfusion, liquid transfusion, and postoperative drainage were found. We think that the more the blood loss, the higher the level of coagulation, which is contributing to the thrombosis.
Furthermore, age, venous thrombosis at admission, and number of days between the fracture and the operation were the 3 important contributing factors to preoperative DVT. This result is similar to those of previous studies.12,21,22 In our hospital, which is a level I trauma center in our region, 66 patients with DVT at admission were referred from other trauma centers. Therefore, venous thrombosis at admission became a risk factor of preoperative and postoperative DVTs. What calls for special attention is that coronary heart disease is another important contributing factor to postoperative DVT. Zheng et al reported that prethrombotic state was an independent risk factor of perioperative events in patients with coronary heart disease23 and that the relationship between hypercoagulability states and coronary heart disease may be close. In additional, the number of days between the fracture and the operation was also important to thrombosis. There were 132 patients undergoing surgery within 72 h of fracture, the analysis shows earlier intervention could save 11.85% (127/331-35/132) in preoperative DVT (P=0.016), but not in postoperative DVT. There were 198 patients undergoing surgery within 72 h of admission, earlier intervention could save 9.11% (162/265-103/198) in postoperative DVT (P=0.050), but not in preoperative DVT.
The dynamic changes of DVT before and after operation were obvious, and the increase in the incidence of mainly postoperative DVT was high. Of 118 new postoperative DVTs, most were peripheral DVTs. Especially, peripheral DVTs are likely to occur in calf muscle veins.24 Of 303 patients who had no changes in hospitalization duration, 183 had no DVT from preoperatively to postoperatively. The DVTs in 114 patients were peripheral from preoperatively to postoperatively. This result is similar to that reported by Song et al,5 in which most patients diagnosed as having DVT postoperatively already had DVT before the operation.
In this study, the prevalence of DVT in patients with hip fractures in the bilateral lower extremities was high, from 34.98% preoperatively to 57.23% postoperatively. The previous studies reported lower incidence rates than that in our study, ranging from 11.1% to 32.8% preoperatively or postoperatively.4–6 The reasons are varied. First, most studies that detected DVT were focused on the injured limb,4–6 limiting the data to those from uninjured limbs. The incidence reported by Mok was 14.3%,9 with a preoperative incidence of 13.60% and a postoperative incidence of 25.05%. Second, the mean number of days between the fracture and the operation was 5.93 days in our study. However, previous studies showed that the preoperative prevalence of DVT ranged from 54% to 62% in patients with acute fractures whose surgery was delayed by >48 h.25,26 Most of the patients in this study often presented a few days after the fracture, mainly because of transportation from other hospitals to our trauma center and the poor comorbidity of elderly patients, which needs more time for preoperative preparation.4,10 The delay in surgical intervention may predispose patients to developing thromboembolic problems. Thus, these factors may contribute to the higher prevalence in this study than in other studies.
Conclusion
The actual incidence of DVT after a hip fracture may be underestimated. The incidences of preoperative and postoperative DVT were high. The incidence of DVT in the uninjured limb was also high.
Acknowledgments
This study was supported by the Social Development Foundation of Shaanxi Province (grant number 2017ZDXM-SF-009).
Footnotes
Disclosure
The authors have no funding or commercial associations (eg, consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article. The authors report no conflicts of interest in this work.
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