Hospitalized patients with isolated distal deep vein thrombosis: anticoagulation therapy or not?

BACKGROUND: Isolated distal deep vein thrombosis (IDDVT), a disease frequently detected in hospitalized patients, can progress to proximal deep vein thrombosis (PDVT) and pulmonary embolism (PE). Here, we evaluated the effects of anticoagulation in hospitalized IDDVT patients.
METHODS: We conducted a retrospective study in our hospital and enrolled hospitalized IDDVT patients diagnosed by compression ultrasonography (CUS) from January to December 2020. Participants were divided into anticoagulation (AC) and non-anticoagulation (non-AC) groups. After propensity score matching (PSM), multivariate Cox regression analyses were performed to assess whether anticoagulation was associated with PDVT/PE, and all-cause mortality.
RESULTS: A total of 426 IDDVT inpatients with CUS follow-up were screened from 1502 distal DVT patients and finally enrolled. The median age was 67 years with 51.4% males and 15.5% cancer patients. The median follow-up was 11.6 months. There were 288 and 138 patients treated with or without anticoagulants, respectively. Patients in the non-AC group had less body mass index and more comorbidities. Patients in the AC group were treated with rivaroxaban or dabigatran (52.1%), low molecular weight heparin (42.7%), and warfarin (5.2%). The PSM generated 111 pairs of well-matched IDDVT patients with or without anticoagulation. The Kaplan-Meier analysis demonstrated that neither the incidence of PDVT/PE (5.4% vs. 2.7%, log-rank p = 0.313) nor all-cause mortality (27.9% vs. 18.9%, log-rank p = 0.098) was significant different between groups. Anticoagulation was not associated with PDVT/PE and all-cause mortality in the multivariable Cox regression analyses using the matched cohorts. The main risk factors for all-cause mortality were age, malignancy history, BMI, sepsis, heart failure, and white blood cell (WBC) count.
CONCLUSIONS: In hospitalized IDDVT patients, the thrombosis extension rate to PDVT/PE was low. Anticoagulation did not reduce the incidence of thrombosis extension of IDDVT and was not associated with all-cause mortality.

Background

Isolated distal deep vein thrombosis (IDDVT) is defined as distal or calf deep vein thrombosis (DVT) restrained in the infra-popliteal veins of lower limbs without concomitant proximal DVT (PDVT) or pulmonary embolism (PE). IDDVT is a common disease in clinical practice, [1, 2] accounting for 23.4–59.7% of all DVTs [2]. However, the optimal management for IDDVT patients remains controversial. For example, the evidence of anticoagulation in reducing thrombosis extension and recurrence from randomized clinical studies was not consistent in IDDVT patients [3-7]. Therefore, anticoagulation is cautiously recommended by the American College Chest Physicians guidelines for high-risk IDDVT patients, including those with active cancer, a history of venous thromboembolism, and inpatient status [8].

Although patients are hospitalized for different reasons, the inpatient status itself is associated with an increased IDDVT risk [9]. Moreover, the situation of hospitalization, such as acute illness, trauma, and cancer, might also contribute to the incidence of IDDVT [10-12]. Additionally, IDDVT has a thrombosis extension rate of 10% and a PE rate of 1.6–2.6% [13-15]. Besides, inpatients with IDDVT might be more prone to extension or embolization. However, the data on the risk of IDDVT progression is sparse among inpatients. Finally, evidence regarding the efficiency of anticoagulation therapy for IDDVT patients is scarce [16, 17].

Therefore, in the present retrospective study, we investigated the current status of IDDVT management, and whether anticoagulation could affect the outcomes of inpatients, including the rate of thrombosis proximal propagation and all-cause mortality. Overall, we provided an essential reference to guide clinical practice for IDDVT.

Methods

Study design

This was a single-center, retrospective study conducted at the Xinqiao Hospital, Army Medical University (Third Military Medical University) in Chongqing, China. We consecutively enrolled patients diagnosed with DDVT by compression ultrasonography (CUS), from January 1st to December 31st, 2020. The inclusion criteria were: 1) hospitalized patients with age ≥ 18 years; 2) diagnosed with IDDVT by CUS; 3) with at least one CUS follow-up examination. Patients were excluded if they presented concomitant PDVT or PE, without follow-up CUS, outpatients, significant bleeding at admission, indication for long-term anticoagulation for other reasons, and lost to follow-up. The present study complied with the Declaration of Helsinki and was approved by the ethics committee of the Xinqiao Hospital, Army Medical University (Third Military Medical University). Written consents were waived for its retrospective design by the committee. Patients were divided into two groups, those who received any kind of anticoagulation drugs [anticoagulation (AC) group], and those managed without anticoagulation drugs [non-anticoagulation (non-AC) group].

Compression ultrasonography (CUS)

Baseline and follow-up ultrasounds were performed at the diagnostic unit or bedside by trained sonographers according to a standardized protocol that included a complete whole-leg ultrasonography [18]. Briefly, patients first laid in the supine position, and the proximal deep veins in the lower extremities were continuously imaged along the veins’ course in the transverse plane with a linear probe (5–10 HZ), including the common femoral, superficial femoral, deep femoral, and popliteal veins. Then, the patients took a seated position with the lower legs hanging down, and the distal deep veins were sequentially examined in this position, including the posterior tibial, peroneal, gastrocnemius, and soleus veins. Anterior tibial veins were not imaged since they were difficult to be compressed and partially obscured by the interosseous membranes and bones. If patients could not change between body positions, CUS was performed just in the supine position. DVT was diagnosed when a filling defect and any lack of compressibility of the deep venous segments were detected. Complete thrombosis resolution during follow-up was defined as no filling defect and complete compressibility restored in segments that were initially involved in the thrombosis by CUS.

Data collection

The demographic information, medical history, and examination results of participants were collected from electronic medical records. The following data were retrieved: diagnosis date, examination frequencies, and CUS follow-up results. Risk factors for DVT were also documented, including bedridden for more than three days, recent surgery or trauma, pregnancy, family history of venous thromboembolism, congestive heart failure (CHF), stroke, paraplegia, and malignancy history. Other data, such as hypertension, diabetes mellitus (DM), renal insufficiency (RI), hepatic insufficiency (HI), intensive care unit admission (ICU), sepsis, acute myocardial infarction (AMI), and chemo-radiotherapy history, were also collected. The first results of white blood cell (WBC) count, hemoglobin, platelet (PLT) count, serum creatine, and D-dimers at admission were recorded as the baseline data. Meanwhile, the status, drugs, dosage, and duration of anticoagulation therapy during hospitalization and after discharge were also collected.

Endpoints and follow-up

The primary endpoints of this study were: 1) thrombosis extension into PDVT/PE, and 2) all-cause mortality. Thrombosis extension was defined as imaged-confirmed thrombosis extension to any of the popliteal, femoral, iliac, and cava veins, regardless of whether the patients had clinical symptoms or not. PE was diagnosed according to a recent guideline [19]. The secondary endpoints were: 1) complete thrombosis resolution, and 2) bleeding, including major or minor bleeding events. Participants were followed up through telephone, clinic interviews, and medical records. We also collected CUS data and computed tomography pulmonary angiography from the medical records at other institutions or hospitals, including results during admission, and outpatient visits.

Statistical analyses

The sample size was calculated using PASS 15 Software (NCSS, LLC. Kaysville, Utah, USA). Referring to the published reports, we assumed the incidence of primary outcome (thrombosis progression to PDVT or PE) is 10% and 3% in IDDVT patients without and with anticoagulation, respectively [5, 7, 20]. The sample size was estimated to be 404 (with 135 in non-AC group and 269 in AC group, respectively), achieving 80% power to detect a difference between the group proportions with significant two-sided level of 0.05.

In unmatched cohorts, continuous variables with normal distribution are presented as means ± standard deviations or medians with interquartile ranges. Comparisons between two samples were performed using t-tests or Wilcoxon rank-sum tests. Categorical variables are presented as frequencies and percentages and were compared with χ2 or Fisher’s exact tests.

Propensity-score matching (PSM) was performed according to the method to control the measured confounders between the non-AC and AC groups [21]. Briefly, a propensity score was generated for each patient using multivariable binary logistic regression analysis. Variables with initial clinical relevance and those with statistical significance in the univariate analysis (p < 0.10) were included. The non-AC group was matched with the AC group based on the propensity score in a 1:1 ratio, with the Nearest Neighbor Matching algorithm and a caliper of 0.05. After PSM, distribution differences of baseline covariates were assessed through the method proposed by Peter C. Austin and were described as standardized differences [22]. A cutoff < 0.10 indicated well matching between treatment groups.

The time-to-event rates for each group were estimated using the Kaplan–Meier method and compared with log-rank tests in matched cohorts. Moreover, both in unmatched and matched cohorts, a multivariable Cox proportional hazards model analysis was performed to calculate the hazard ratio (HR) and 95% confidence intervals (CIs) to explore the association of anticoagulation and other risks factors with the primary endpoints. Variables considered to be clinically relevant or that showed statistical significance in the univariable analysis (p < 0.10) with the primary endpoints were included in the multivariable regression model. A p < 0.05 indicated significant differences between measurements. All analyses were performed using SPSS version 22.0 (IBM Corp., Armonk, NY, USA), and the PSM also required the R software (v. 2.15.3, R Foundation for Statistical Computing), SPSS R plug-in (SPSS Statistics Essentials for R 22.0.0, IBM, USA), and PS Matching in SPSS (version 3.04, SourceForge, San Diego, USA).

Results

Baseline characteristics

From January to December 2020, 1502 patients were diagnosed with DDVT by CUS, including patients with clinical suspicion of DVT or PE. A total of 963 patients underwent just one CUS examination and were excluded. Further, 113 patients were excluded for other reasons, including concomitant PDVT (n = 36) or PE (n = 16), significant bleeding at admission (n = 17), outpatients (n = 25), anticoagulation therapy for other causes (n = 5), and lost during follow-up (n = 14). Finally, 426 inpatients diagnosed with IDDVT were included for analysis (Fig. 1). The median age was 67 years, and 51.4% were males. Among participants, 43.0% and 17.6% had hypertension and DM, respectively. Moreover, 66 patients presented a malignancy history and 248 underwent surgeries for different reasons. The median follow-up time was 11.6 months. Additionally, 138 patients did not receive anticoagulation drugs, while the other 288 IDDVT patients underwent anticoagulation therapy. Compared to the AC group (n = 288), patients in the non-AC group (n = 138) had lower body mass index (BMI) and were less likely to undergo surgeries. Meanwhile, patients in the non-AC group had more comorbidities, including hypertension, DM, RI, and stroke. Detailed baseline characteristics are displayed in Table 1.

Fig. 1

Flow diagram of patients’ enrollment. DDVT, distal deep venous thrombosis; PDVT, proximal deep venous thrombosis; PE, pulmonary embolism

Table 1

Baseline characteristics in unmatched and matched cohorts

	Unmatched				PSMa
	non-AC n = 138	AC n = 288	p	SD1	non-AC n = 111	AC n = 111	SD2
Age, year	67 (57–72)	67.5 (56.25–75.00)	0.500	0.036	67 (57–71)	67 (56–73)	-0.033
BMI, kg/m2	22.5 (20.5–25.4)	24.03 (21.4–26.1)	0.012	0.228	22.5 (20.5–25.6)	23.5 (20.0–25.4)	-0.052
Male, n (%)	84 (60.9)	135 (46.9)	0.007	-0.284	64 (57.7)	60 (54.1)	-0.073
HTN, n (%)	68 (49.3)	115 (39.9)	0.068	-0.190	49 (44.1)	52 (46.8)	0.054
DM, n (%)	34 (24.6)	41 (14.2)	0.008	-0.265	20 (18.0)	19 (17.1)	-0.024
RI, n (%)	22 (15.9)	28 (9.7)	0.062	-0.186	17 (15.3)	15 (13.5)	-0.051
HI, n (%)	17 (12.3)	24 (8.3)	0.192	-0.132	12 (10.8)	13 (11.7)	0.028
Bedridden (≥ 3 days), n (%)	94 (68.1)	171 (59.4)	0.082	-0.182	70 (63.1)	70 (63.1)	0.000
ICU, n (%)	65 (47.1)	100 (34.7)	0.014	-0.254	46 (41.4)	49 (44.1)	0.055
Sepsis, n (%)	5 (3.6)	9 (3.1)	0.787	-0.028	4 (3.6)	7 (6.3)	0.125
AMI, n (%)	3 (2.2)	8 (2.8)	0.713	0.038	3 (2.7)	6 (5.4)	0.137
CHF, n (%)	7 (5.1)	13 (4.5)	0.799	-0.028	5 (4.5)	6 (5.4)	0.042
Stroke, n (%)	45 (32.6)	50 (17.4)	0.000	-0.357	27 (24.3)	22 (19.8)	-0.109
Paraplegia, n (%)	2 (1.4)	7 (2.4)	0.724	0.073	2 (1.8)	3 (2.7)	0.061
Malignancy history, n (%)	21 (15.2)	45 (15.6)	0.967	0.011	19 (17.1)	20 (18.0)	0.024
Chemo-radiotherapy, n (%)	7 (5.1)	16 (5.6)	0.836	0.022	6 (5.4)	5 (4.5)	-0.042
VTE history, n (%)	0 (0.0)	0 (0.0)	-	0.000	0 (0.0)	0 (0.0)	0.000
Pregnancy, n (%)	0 (0.0)	1 (0.3)	1.000	0.078	0 (0.0)	0 (0.0)	0.000
Surgery, n (%)	56 (40.6)	192 (66.7)	0.000	0.542	53 (47.7)	53 (47.7)	0.000
WBC, 109/L	8.70 (6.52–11.01)	7.46 (5.75–10.46)	0.036	-0.112	8.64 (6.37–10.79)	7.94 (5.79–10.80)	-0.041
HG, g/L	109 (95–126)	115 (99–128)	0.130	0.127	109 (96–124)	114 (96–126)	0.012
PLT, 109/L	200 (146–265)	189 (148–263)	0.983	0.012	201 (146–270)	191 (151–268)	0.026
CREA, μmol/L	65.8 (55.0–79.8)	68.6 (55.4–84.9)	0.465	0.001	66.0 (54.6–78.5)	69.7 (55.6–87.3)	0.113
D-dimer, mg/L	0.99 (0.54–2.99)	1.04 (0.48–2.84)	0.682	0.015	1.00 (0.54–2.99)	1.19 (0.57–2.87)	0.111

BMI Body mass index, AC Anticoagulation, SD Standardized difference, HTN Hypertension, DM Diabetes mellitus, RI Renal insufficiency, HI Hepatic insufficiency, ICU Intensive care unit, AMI Acute myocardial infarction, CHF Congestive heart failure, VTE Venous thromboembolism, WBC White blood cell, HG Hemoglobin, PLT Platelet, CREA Creatine, PSM Propensity score matching

aPropensity score of each patient was calculated by binary logistic regression model, treatment type (anticoagulation or not) was considered as dependent variable, and the independent variables contained age, male, BMI, HTN, DM, RI, HI, bedridden (≥ 3 days), ICU, stroke, malignancy history, surgery, WBC, and HG

In the AC group, patients received different anticoagulation drugs: 52.1% took dabigatran etexilate or rivaroxaban, 42.7% received low molecular weight heparin (LMWH) injection, and 5.2% took warfarin. The median duration of anticoagulation therapy was 0.61 months. The number of patients with anticoagulation duration ≤ 1, 1–3, and > 3 months was 192 (66.7%), 43 (14.9%), and 56 (19.4%), respectively.

After PSM, 111 pairs of IDDVT patients were well matched, with variables including age, male, BMI, HTN, DM, RI, HI, bedridden, ICU, stroke, malignancy history, surgery, WBC count, and HG. Although some variables were not included in the propensity score calculation, the standardized differences of the unbalanced variables before the PSM were minimized through the PSM.

Primary outcomes

The endpoint results are presented in Table 2. Patients in the AC group who progressed to DVT/PE were not statistically different from those in the non-AC group (4.9% vs. 5.1%, p = 0.925). Specifically, the incidence of PE in both groups was low and no difference was observed between the groups (0.7% vs. 1.4%, p = 1.000). Patients who progressed to PDVT in the AC group did not differ from those in the non-AC group (4.2% vs. 5.1%, p = 0.672). After PSM, these observations remained robust.

Table 2

Primary and secondary endpoints in patients with or without anticoagulation in unmatched and matched cohorts

	Unmatched			PSM
	non-AC n = 138	AC n = 288	p1	non-AC n = 111	AC n = 111	p2
Primary endpoint
PDVT/ PE, n (%)	7 (5.1)	14 (4.9)	0.925	6 (5.4)	3 (2.7)	0.499
PDVT, n (%)	7 (5.1)	12 (4.2)	0.672	6 (5.4)	3 (2.7)	0.499
PE, n (%)	1 (0.7)	4 (1.4)	1.000	1 (0.9)	0 (0.0)	1.000
All-cause mortality, n (%)	41 (29.7)	47 (16.3)	0.001	31 (27.9)	21 (18.9)	0.113
Thrombosis related death, n (%)	0 (0.0)	0 (0.0)	-	0 (0.0)	0 (0.0)	-
Cardiovascular death, n (%)	4 (2.9)	8 (2.8)	1.000	2 (1.8)	3 (2.7)	0.651
Secondary endpoint
Thrombosis resolution, n (%)	58 (42.0)	155 (53.8)	0.023	48 (43.2)	57 (51.4)	0.226
Bleeding, n (%)	9 (6.5)	8 (2.8)	0.065	6 (5.4)	5 (4.5)	0.757

AC Anticoagulation, PDVT Proximal deep venous thrombosis, PE Pulmonary embolism, PSM Propensity score matching

Regarding mortality, there was no thrombosis-related death in both groups. The cardiovascular deaths were not different between groups (2.9% vs. 2.8%, p = 1.000). Deaths were mostly attributed to the original diseases (see Additional file 1). Before PSM, patients in the non-AC group had higher all-cause mortality than those in the AC group (29.7% vs. 16.3%, p = 0.001). After PSM, the Kaplan–Meier analysis demonstrated that neither the incidence of PDVT/PE (5.4% vs. 2.7%, log-rank p = 0.313) nor all-cause mortality (27.9% vs. 18.9%, log-rank p = 0.098) were significantly different between groups (Fig. 2).

Fig. 2

Kaplan–Meier analyses of primary endpoints with anticoagulation in matched cohorts. A PDVT/PE in hospitalized IDDVT patients with or without anticoagulation. (non-AC group vs. AC group, 5.4% vs. 2.7%, log-rank p = 0.313). B All-cause mortality in hospitalized IDDVT patients with or without anticoagulation. (non-AC group vs. AC group, 27.9% vs. 18.9%, log-rank p = 0.098). AC, anticoagulation

Secondary outcomes

Patients in the AC group had a higher percentage of complete thrombosis resolution (53.8% vs. 42.0%, p = 0.023). The bleeding was similar in the two groups (AC group 2.8% vs. non-AC group 6.5%, p = 0.065). However, the thrombosis resolution and bleeding were not different between groups after PSM.

Risk factors of thrombosis extension and all-cause mortality

The univariable and multivariable Cox regression analyses showed that anticoagulation was not associated with thrombosis extension. Furthermore, none of the documented variables were independently related to thrombosis progression (see Additional file 2).

In the unmatched cohort, we found that anticoagulation was associated with lower all-cause mortality (HR = 0.580, 95% CI 0.376–0.895, p = 0.014) in multivariable COX regression analysis. However, this association diminished after PSM. The factors related to all-cause mortality were age, BMI, sepsis, heart failure, malignancy history, and WBC count after PSM (Table 3).

Table 3

Multivariable Cox regression analyses to estimate the factors associated with all-cause mortality in unmatched and matched cohorts

	Unmatched			PSM
	HR	95%CI	p1	HR	95 CI	p2
Age	1.033	1.012–1.054	0.002	1.037	1.010–1.064	0.007
BMI	-	-	-	1.090	1.005–1.182	0.038
Sepsis	2.857	1.273–6.411	0.011	3.005	1.149–7.859	0.025
CHF	-	-	-	3.492	1.290–9.455	0.014
Malignancy history	3.760	2.321–6.091	0.000	3.651	1.984–6.718	0.000
Surgery	0.530	0.339–0.829	0.005	-	-	-
Anticoagulation	0.580	0.376–0.895	0.014	-	-	-
WBC	1.066	1.019–1.114	0.005	1.078	1.014–1.147	0.016

BMI Body mass index, CHF Congestive heart failure, WBC White blood cell, HR Hazard ratio, CI Confidence interval, PSM Propensity score matching

Discussion

In the present study, we found that anticoagulation did not reduce the thrombosis extension in IDDVT inpatients, nor it was associated with their all-cause mortality. The main risk factors for all-cause mortality were age, BMI, sepsis, CHF, malignancy history, and WBC count.

Previous studies have suggested that IDDVT patients have a lower incidence of thrombosis recurrence and all-cause mortality than PDVT patients [9, 16, 23, 24]. Moreover, the risk of thrombosis extension of IDDVT is around 3–10% when left untreated [13–15, 25]. This was also reflected in our current study, which showed that the incidence of proximal propagation rate was 5.1%. Considering the low embolic risk of IDDVT, diagnosis and anticoagulation therapy for IDDVT were not associated with better outcomes [18, 26]. Hence, the necessity of anticoagulation therapy for IDDVT patients was questioned. Randomized, double-blind, and placebo-controlled studies have demonstrated no efficacy of anticoagulation in reducing thrombosis extension and PE, but increased bleeding in low-risk outpatients [7].

Furthermore, hospitalization is a risk factor for IDDVT occurrence. Previous evidence has shown that hospitalization for medical diseases, [12, 27] trauma, [11, 23] major surgery, [23, 28] and critical status [10] are independent risk factors for thrombosis formation. Additionally, Heit et al. found that inpatients status had more than 100 times increased incidence of thrombosis formation, including IDDVT, compared to residents in the communities [29]. Anticoagulation is empirically prescribed by clinicians based on the concerns of embolic risk and the recommendation for DVT. However, whether anticoagulation in hospitalized patients can reduce the proximal propagation of IDDVT remains controversial. For example, Giovanna et al. found that anticoagulation could not decrease the risk of thrombosis propagation to proximal deep veins among hospitalized IDDVT patients [16]. Moreover, Yorinari et al. retrospectively found that anticoagulation therapy for hospitalized IDDVT patients had no effects on the incidence of PE while increased bleeding events [17]. Similarly, we showed that the incidence of PE was 0.7% among IDDVT patients and anticoagulation did not reduce the incidence of PE, consistent with previous studies [24, 30]. Besides, inpatient status might increase the prothrombotic risk factor in IDDVT patients but anticoagulation failed to reduce the proximal propagation in these patients.

The association between coagulation and mortality is another concern in IDDVT patients. Previously, Giovanna’s group showed that anticoagulation might reduce all-cause mortality of inpatients [16]. Herein, we did not observe this effect. The disagreements might lie in the population heterogeneity and the different adjustment of confounders. Further, we found that the deaths were attributed to the original diseases rather than other PDVT/PE propagated by IDDVT. Meanwhile, another IDDVT cohort showed that 1.2% of deaths were attributable to PE, including comorbidities such as cancer [20]. This observation was consistent with our current study. Particularly, the factors most related to death were age, BMI, sepsis, CHF, malignancy history, and WBC count. Interestingly, malignancy history was the most important risk factor for death. Previously, it was well-established that cancer was the main reason for death in IDDVT patients during long-term follow-up [9, 16, 31, 32].

Limitation

Our current study also has some limitations. First, this was a retrospective single-center study, which might lead to intrinsic bias, including selection and measurement bias. Hence, we consecutively included patients diagnosed with IDDVT in our hospital during 2020 to reduce the selection bias. Meanwhile, we used multivariate Cox regression analysis and PSM to balance the difference between groups and adjust the confounders. Second, patients were not regularly scheduled for follow-ups, which might result in the underestimation of primary endpoints, especially the proximal progression to PDVT or PE. The recall bias of endpoints from the participants might also exist. Thus, we tried to retrieve the CUS results performed in our institution and other hospitals if the patients had undergone the CUS examination. Third, as we know, thrombophilic predisposition, such as antiphospholipid antibodies, protein C, protein S or antithrombin deficiency, are risk factors of venous thromboembolism development and recurrence. Whether they are associated with IDDVT progression to PDVT or PE is elusive. Unfortunately, we are unable to provide the anticoagulation data of these patients because of the retrospective design. Last, Given the incidence of PDVT/PE in patients without anticoagulation was lower than assumed, it is possible that the sample size of our study may be underpowered to verify the proportion difference between the groups. Further study with a larger population might be required.

Conclusion

In the present study, we demonstrated that the incidence of thrombosis propagation to PDVT or PE was low in hospitalized IDDVT patients, and did not identify risk factors associated with thrombosis extension. Anticoagulation did not lead to decreasing extension to PDVT/PE or all-cause mortality. Finally, future well-designed prospective studies on IDDVT are still required.

Additional file 1: Supplementary Table 1. Causes of death in patients with and without anticoagulation.

Additional file 2: Supplementary Table 2. Univariate Cox regression analyses to estimate the factors associated with PDVT/ PE.