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Erschienen in: Thrombosis Journal 1/2024

Open Access 01.12.2024 | Research

Factors influencing DVT formation in sepsis

verfasst von: Lu Wang, Xudong Ma, Yujie Chen, Sifa Gao, Wei Pan, Jieqing Chen, Longxiang Su, Huaiwu He, Yun Long, Chang Yin, Xiang Zhou, On Behalf of China National Critical Care Quality Control Centre Group (China-NCCQC)

Erschienen in: Thrombosis Journal | Ausgabe 1/2024

Abstract

Introduction

Sepsis is a global public health burden. Deep vein thrombosis (DVT) is the third most common cause of death from cardiovascular disease after heart attacks and strokes. We designed this experiment to investigate the factors influencing DVT formation in patients with sepsis.

Methods

In this survey, 918 septic patients admitted to Peking Union Medical College Hospital, who underwent DVT screening were enrolled. The data were collected from June 8, 2013 to October 12, 2022. The differences between septic patients with and without DVT were studied from following aspects: basic information, comorbidities, inflammatory cytokines, albumin, source of infection, sequential organ failure assessment (SOFA) score, coagulation and prognosis.

Main results

In this study, the prevalence of DVT in patients with sepsis was 0.23. Elderly patients with sepsis were prone to DVT (p value < 0.001). In terms of comorbidities, septic patients with hypertension and atrial fibrillation were prone to DVT (p value 0.045 and 0.048). Inflammatory cytokines, such as procalcitonin (PCT), C-reactive protein (CRP), interleukin (IL)-6, IL-8, IL-10, tumor necrosis factor (TNF)-α, had no significant correlation with DVT in patients with sepsis (p value 0.364, 0.882, 0.912, 0.789, 0.245, and 0.780). Levels of serum albumin correlated with DVT in patients with sepsis (p value 0.003). The SOFA total score had no relationship with DVT formation (p value 0.254). Coagulation and respiration function were negatively correlated with DVT (p value 0.018). Liver function was positively correlated with DVT (p value 0.020). Patients in the DVT group had longer duration of mechanical ventilation and longer intensive care unit (ICU) stays (p value < 0.001 and 0.006). There was no significant difference in survival in septic patients with and without DVT (p value 0.868).

Conclusions

The SOFA total score had no relationship with DVT formation. The function of each organ had different effects on DVT formation. Better coagulation and respiration function, easier DVT formation. Poorer liver function, easier DVT formation. DVT was associated with longer duration of mechanical ventilation and longer ICU stays.
Hinweise
Lu Wang, Xudong Ma and Yujie Chen contributed equally to this work.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Introduction

Deep vein thrombosis (DVT) is the third most common cause of death from cardiovascular disease after heart attacks and strokes [1]. Sepsis is life-threatening organ dysfunction caused by a dysregulated host response to infection [2]. Sepsis affects millions of people worldwide and is one of the largest causes of death worldwide [3]. To reduce mortality from sepsis, the Surviving Sepsis Campaign has released five sets of guidelines over the last 20 years, with the most recent being published in 2021 [4]. The Virchow triad of DVT formation (endothelial lesions, hypercoagulability status, and venous stasis) is prevalent in patients with septic shock. However, DVT in sepsis is poorly studied and mostly remains theoretical [58]. Common risk factors for DVT include old age, obesity, malignancy, myocardial infarction, heart failure, vasculitis, systemic lupus erythematosus, nephrotic syndrome, hypertension, diabetes mellitus, polycythemia vera, and thrombocytosis. There is little literature on the influence of these factors on DVT formation in patients with sepsis [9, 10], so we designed this experiment to investigate the prevalence of DVT in patients with sepsis and the influence of the aforementioned high-risk factors on DVT formation.

Methods

Study Design

In this survey, 918 patients with sepsis admitted to Peking Union Medical College Hospital were enrolled. Of these sepsis patients, 215 had DVT, which occurred in 23.42% of cases. The data were collected from June 8, 2013 to October 12, 2022. Sepsis was diagnosed on the basis of the third international consensus definitions for sepsis and septic shock [2]. Exclusion criteria included an admission diagnosis of acute DVT, without screening for DVT, pregnancy, severe chronic liver disease (Child-Pugh Score of 10–15), and cerebral herniation (Fig. 1).
According to the management requirements of Peking Union Medical College Hospital, all patients in this study received DVT prophylaxis. Standardized protocols allowed for the use of either low-dose unfractionated heparin or low-molecular-weight heparin as appropriate. If patients had a contraindication to pharmacologic-based DVT prophylaxis (e.g., active bleeding or high risk of bleeding), intermittent pneumatic compressions or graduated compression stockings were used.
The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The datasets supporting the conclusions of this article are included within the article.

Variables and measurements

Patients included in this study had completed at least one DVT screening during their ICU period. Lack of venous compressibility with the ultrasound transducer held in a transverse position to the vein was interpreted as a positive study of DVT. All compression ultrasonography were interpreted by board-certified sonographer blinded to the patient’s clinical history. Ultrasonography was coded as negative (DVT absent) if all imaged deep vein segments were fully compressible or as positive (DVT present) if a noncompressible segment was identified. Decisions on VTE treatment were left to the discretion of the patient’s primary team.
We studied the differences between septic patients with and without DVT from the following aspects: basic information, comorbidities, source of infection, inflammatory cytokines at onset of sepsis, albumin at onset of sepsis, sequential organ failure assessment (SOFA) score at onset of sepsis, coagulation at onset of sepsis and prognosis. Basic information included gender, age, height, weight, and body mass index (BMI). Comorbidities included diabetes, hypertension, coronary heart disease (CHD), chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD), immune diseases, malignancy, atrial fibrillation, and stroke. Source of infection included respiratory, abdominal, bloodstream, urinary tract, neurological, and others. Inflammatory cytokines at onset of sepsis included procalcitonin (PCT), C-reactive protein (CRP), interleukin (IL) -6, IL-8, IL-10, and tumor necrosis factor (TNF) -α. Coagulation at onset of sepsis included prothrombin time (PT), activated partial thromboplastin time (APTT), fibrinogen, D-dimer, and platelet. Prognosis included duration of mechanical ventilation, ICU stays, and the survival rate.

Ethical considerations

The current study was reported in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology Guidelines. This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The trial protocol was approved by the Central Institutional Review Board at Peking Union Medical College Hospital (NO. SK1828), and individual consent for this analysis was waived. There was no identifying or protected health information included in the analyzed dataset.

Data analysis

All statistical analyses were performed in SAS 9.4 (SAS Institute Inc., Cary, NC, USA). Continuous variables are expressed as media (P25, P75). The pairwise comparison was conducted by using the t test of two independent samples. All statistical tests were two-tailed, and p < 0.05 was considered to be statistically significant.

Results

In this study, the prevalence of DVT in patients with sepsis was 23.42%. In terms of comorbidities, patients with atrial fibrillation had the highest incidence of DVT, reaching 30.00%. In terms of source, patients with neurological infection had the highest incidence of DVT, reaching 31.25%, while patients with bloodstream infection had the lowest incidence of DVT, at 12.20% (Fig. 2).
Elderly patients with sepsis were prone to DVT (p value < 0.001). In terms of comorbidities, septic patients with hypertension and atrial fibrillation were prone to DVT (p value 0.045 and 0.048). However, septic patients with chronic kidney disease (CKD), immunological diseases, and malignancy were not prone to DVT (p value 0.008, < 0.001 and 0.024) (Table 1).
Table 1
Basic information and comorbidities
 
Total
DVT
No DVT
OR
p
Basic information
 Female (n)
401
92
309
1.05 [0.77;1.43]
0.824
 Age (y)
63.0 [51.0–73.0]
67.0 [58.0–76.0]
61.0 [48.0–72.0]
0.98 [0.97;0.98]
< 0.001
 Height (cm)
168 [160–174]
170 [160–175]
167 [160–173]
0.99 [0.96;1.02]
0.365
 Weight (kg)
65.0 [56.5–75.0]
66.0 [60.0-76.5]
65.0 [55.0–73.0]
0.99 [0.98;1.01]
0.202
 BMI (kg/m2)
23.4 [20.8–26.1]
24.2 [21.0-26.1]
23.1 [20.3–26.1]
0.99 [0.95;1.04]
0.332
Comorbidities
 Diabetes (n)
227
51
176
1.07 [0.75;1.54]
0.764
 Hypertension (n)
346
94
252
0.72 [0.53;0.98]
0.045
 CHD (n)
161
43
118
0.81 [0.55;1.20]
0.326
 COPD (n)
48
8
40
1.54 [0.74;3.61]
0.337
 CKD (n)
140
20
120
1.99 [1.23;3.38]
0.008
 Immune diseases (n)
173
14
159
4.15 [2.43;7.68]
< 0.001
 Malignancy (n)
240
43
197
1.55 [1.08;2.28]
0.024
 Atrial fibrillation (n)
150
45
105
0.66 [0.45;0.98]
0.048
 Stroke (n)
245
54
191
1.11 [0.79;1.59]
0.612
Deep vein thrombosis = DVT, body mass index = BMI, coronary heart disease = CHD, chronic obstructive pulmonary disease = COPD, chronic kidney disease = CKD
In terms of source, patients with bloodstream infections were less likely to develop DVT (p value 0.017) (Table 2).
Table 2
Source of infection, inflammatory cytokines, and albumin
 
Total
DVT
No DVT
OR
p
Source
 Respiratory (n)
494
125
369
0.80 [0.58;1.08]
0.169
 Abdominal (n)
234
55
179
0.99 [0.70;1.42]
1.000
 Bloodstream (n)
82
10
72
2.31 [1.22;4.86]
0.017
 Urinary tract (n)
60
13
47
1.10 [0.60;2.17]
0.862
 Neurological (n)
60
13
47
1.10 [0.60;2.17]
0.862
 Other (n)
48
12
36
0.91 [0.47;1.85]
0.928
Inflammatory cytokines
 PCT (ng/L)
1.80 [0.42–7.28]
1.94 [0.47–8.38]
1.70 [0.40–7.04]
1.00 [0.99;1.00]
0.364
 CRP (mg/L)
61.0 [24.0–98.5]
51.0 [28.0–94.0]
67.0 [23.0–102]
1.00 [0.99;1.01]
0.882
 IL-6 (pg/mL)
52.4 [15.6–114]
52.6 [15.8–105]
52.2 [15.6–116]
1.00 [1.00;1.00]
0.912
 IL-8 (pg/mL)
96.0 [50.5–208]
92.0 [62.0-156]
97.0 [45.5–245]
1.00 [1.00;1.00]
0.789
 IL-10 (pg/mL)
8.75 [5.05–17.8]
8.30 [5.00–14.5]
9.10 [5.30–22.1]
1.00 [1.00;1.00]
0.245
 TNF-α (pg/mL)
19.5 [12.9–31.6]
19.5 [13.6–25.9]
19.5 [12.0-33.2]
1.02 [1.00;1.03]
0.780
Albumin (g/L)
29.0 [25.0–32.0]
30.0 [26.0–34.0]
28.0 [24.8–32.0]
0.98 [0.96;1.00]
0.003
Deep vein thrombosis = DVT, procalcitonin = PCT, C-reactive protein = CRP, interleukin = IL, tumor necrosis factor = TNF
Inflammatory cytokines, such as procalcitonin (PCT), C-reactive protein (CRP), interleukin (IL)-6, IL-8, IL-10, and tumor necrosis factor (TNF)-α, had no significant correlation with DVT in patients with sepsis (p value 0.364, 0.882, 0.912, 0.789, 0.245, and 0.780) (Table 2).
The levels of serum albumin correlated with DVT in patients with sepsis (p value 0.003) (Table 2).
The SOFA total score had no relationship with DVT formation (p value 0.254). In the initial analysis, we found that only coagulation scores were negatively correlated with DVT (p value 0.007). However, when we switched to the raw data, we found that both respiration and liver were associated with DVT formation. Respiratory function was negatively correlated with DVT (p value 0.018). Liver function was positively correlated with DVT (p value 0.020) (Table 3).
Table 3
SOFA score and coagulation
 
Total
DVT
No DVT
OR
p
SOFA score
12.0 [10.0–16.0]
13.0 [10.0–16.0]
12.0 [10.0–15.0]
0.98 [0.94;1.02]
0.254
 Respiration score
2.00 [2.00–3.00]
2.00 [2.00–3.00]
2.00 [2.00–3.00]
0.87 [0.73;1.05]
0.080
 Coagulation score
2.00 [0.00–3.00]
1.00 [0.00–2.00]
2.00 [1.00–3.00]
1.21 [1.06;1.39]
0.007
 Liver score
0.00 [0.00–2.00]
1.00 [0.00–2.00]
0.00 [0.00–2.00]
0.91 [0.78;1.06]
0.102
 Cardiovascular score
4.00 [1.00–4.00]
4.00 [2.00–4.00]
4.00 [1.00–4.00]
0.92 [0.83;1.02]
0.137
 CNS score
4.00 [4.00–4.00]
4.00 [4.00–4.00]
4.00 [4.00–4.00]
0.90 [0.73;1.12]
0.205
 Renal score
1.00 [0.00–3.00]
1.00 [0.00–3.00]
0.50 [0.00–3.00]
0.95 [0.86;1.05]
0.286
PaO2 / FiO2 (mmHg)
170 [102–254]
183 [115–272]
166 [99.8–243]
1.00 [1.00;1.00]
0.018
Platelet (10^9/L)
112 [60.0–174]
118 [80.0–186]
108 [53.0–168]
1.00 [1.00;1.00]
0.008
TBIL (umol/L)
19.8 [10.6–36.5]
21.9 [12.7–39.5]
18.2 [9.78–35.7]
1.00 [1.00;1.00]
0.020
NE (ug/kg/min)
0.11 [0.00–0.19]
0.11 [0.00–0.20]
0.11 [0.00–0.18]
1.06 [0.64;1.75]
0.308
Creatinine (umol/L)
83.0 [58.0–138]
86.0 [56.0–132]
82.0 [59.0–141]
1.00 [1.00;1.00]
0.887
Coagulation
 PT (s)
14.5 [13.1–16.5]
14.8 [13.4–16.6]
14.4 [13.1–16.4]
0.99 [0.96;1.02]
0.076
 APTT (s)
36.3 [30.2–45.4]
35.4 [30.4–43.5]
36.6 [30.1–46.2]
1.01 [1.00;1.02]
0.403
 Fibrinogen (g/L)
3.59 [2.34–4.69]
3.82 [2.70–5.03]
3.53 [2.30–4.61]
0.93 [0.86;1.01]
0.033
 D-dimer (mg/L)
5.02 [2.99–10.7]
6.03 [3.60–10.6]
4.74 [2.86–10.7]
1.00 [0.99;1.02]
0.097
 Platelet (10^9/L)
112 [60.0–174]
118 [80.0–186]
108 [53.0–168]
1.00 [1.00;1.00]
0.008
Sequential organ failure assessment = SOFA, deep vein thrombosis = DVT, central nervous system = CNS total bilirubin = TBIL, norepinephrine = NE, prothrombin time = PT, activated partial thromboplastin time = APTT
Among the commonly used coagulation indicators, prothrombin time (PT) and activated partial thromboplastin time (APTT) were not significantly related to DVT formation (p value 0.076 and 0.403). Fibrinogen levels were positively correlated with DVT formation (p value 0.033). Although the difference was not statistically significant (p value 0.097), patients in the DVT group had higher levels of D-dimer than those in the non-DVT group (Table 3).
Patients in the DVT group had a longer duration of mechanical ventilation and longer intensive care unit (ICU) stays (p value < 0.001 and 0.006). There was no significant difference in survival in septic patients with and without DVT (p value 0.868) (Table 4).
Table 4
Prognosis
 
Total
DVT
No DVT
OR
p
Prognosis
 Ventilator (h)
85 [5.00–273]
135 [27.0–354]
70 [0.00–240]
1.00 [1.00;1.00]
< 0.001
 ICU stay (h)
188 [73.0–411]
281 [82.6–540]
167 [71.9–380]
1.00 [1.00;1.00]
0.006
 Survivor (n)
634 (69.1%)
147 (68.4%)
487 (69.3%)
1.04 [0.75;1.45]
0.868
Deep vein thrombosis = DVT, intensive care unit = ICU

Discussion

Although DVT prophylaxis was performed, the incidence of DVT in patients with sepsis was still as high as 23.42%. Given the severity of the consequences [11, 12] and the ease of screening [13, 14], there is reason to believe that DVT screening in patients with sepsis should be popularized. In terms of comorbidities, the incidence of DVT was highest in septic patients with atrial fibrillation. In terms of source, patients with neurological infections had the highest incidence of DVT. These results are consistent with those of other relevant reports [1518], and DVT prevention and treatment in septic patients with atrial fibrillation and neurological infection should be improved.
In patients with sepsis, elderly age [19], hypertension [20], and atrial fibrillation [21] are factors that predispose patients to DVT, which is consistent with other reports. Particular attention should be given to the prevention and treatment of DVT in septic patients who have the above risk factors.
Septic patients with CKD, immunological diseases, and malignancy were not prone to DVT in this study. These factors are strongly associated with DVT [22, 23], and the current seemingly counterintuitive results may be because patients with these risk factors tend to have stronger basic anticoagulation therapy [2426], leading to bias in the results.
In terms of source, patients with bloodstream infections were less likely to develop DVT. This may be because sources such as catheters are easier to remove and bloodstream infections tend to have a shorter duration of treatment than other infections [27, 28].
Contrary to most current theories, inflammatory cytokines had no significant correlation with DVT in patients with sepsis in this study. We speculate that these results may be due to inflammatory factors lead to vascular endothelial damage [29, 30], and these inflammatory factors leading to a hyperdynamic phase with high cardiac output [31, 32]. This leads to accelerated venous return, and the two above effects cancel each other out.
Albumin is the most commonly used colloidal fluid in the treatment of sepsis [33], and its use in sepsis is still highly controversial [34, 35]. In this study, the levels of serum albumin correlate with DVT in patients with sepsis. The cause of this results may be elevated serum albumin levels leading to hypercoagulation. Albumin plays a critical role in restoring endothelial basement membrane integrity, and optimizing hemostasis in hemorrhagic shock [36]. This result suggests that changes in coagulation status should be concerned when using albumin in clinical practice.
SOFA is based on six different scores, one for each of the respiratory, cardiovascular, hepatic, coagulation, renal and neurological systems, and each is scored from 0 to 4. SOFA is the most important scoring system for diagnosing sepsis and assessing the severity of its condition [33]. This study investigated the relationship between SOFA scores and DVT formation. The SOFA total score was no correlated with DVT formation. Coagulation and respiration function was negatively correlated with DVT. Liver function was positively correlated with DVT. The combination of individual organs led to SOFA scores independent of DVT formation. Among the commonly used coagulation indicators, PT and APTT were not significantly related to DVT formation. At present, the prevention and treatment of DVT focuses on anticoagulation [37, 38], while anti- platelet research is less common [39]. In our study, platelet count was positively correlated with DVT formation, while anticoagulation was not significantly associated with DVT formation. These results suggest that in the prevention and treatment of DVT, more attention should be given to the adjustment of platelet function in addition to anticoagulation. Unexpectedly, the analysis results of respiration function showed that the degree of hypoxia was inversely correlated with DVT, and patients with severe hypoxia were less prone to DVT. We speculate that these results may be due to hypoxia inducing the release of inflammatory factors, leading to a hyperdynamic phase and accelerated venous return [31, 32]. In the initial analysis of this study, we found that only coagulation scores were correlated. However, when we replaced the original data, we found that both the respiratory system and liver were associated with DVT formation. This result suggests that we should use raw data for relevant research.
Patients in the DVT group exhibited a longer duration of mechanical ventilation and longer ICU stays. There was no significant difference in survival in septic patients with and without DVT. Matthew T. Rondina’s research shown that patients with sepsis with clinically significant venous thromboembolism had a significantly longer ICU stays compared with patients without venous thromboembolism. All-cause, 28-day mortality was numerically higher in patients with clinically significant venous thromboembolism but did not reach statistical significance [10]. Our study presents approximate results with Matthew T. Rondina’s research. These above results suggest that DVT prevention and treatment may not affect the survival of patients with sepsis, but may shorten the duration of their mechanical ventilation and hospital stays [40, 41].
There are some limitations to this study. First, since the present study was retrospective, all patients were not regularly screened for DVT. Patients may have DVT, but it is not detected in time. Second, this is a cross-sectional study and no dynamic monitoring data are available. Third, this study is retrospective and has many confounding factors. Thus, prospective studies are needed to further confirm the relevant conclusions.

Conclusion

The SOFA total score did not demonstrate a relationship with DVT formation. The function of each organ had different effects on DVT formation. Better coagulation and respiration function resulted in easier DVT formation. Poorer liver function was associated with easier DVT formation. DVT was associated with a longer duration of mechanical ventilation and longer ICU stays.

Acknowledgements

The authors would like to thank all participants and staff. The China National Critical Care Quality Control Center Group consists of the following persons: Xue Wang, Xiangdong Guan, Yan Kang, Bin Xiong, Bingyu Qin, Kejian Qian, Chunting Wang, Mingyan Zhao, Xiaochun Ma, Xiangyou Yu, Jiandong Lin, Aijun Pan, Haibo Qiu, Feng Shen, Shusheng Li, Yuhang Ai, Xiaohong Xie, Jing Yan, Weidong Wu, Meili Duan, Linjun Wan, Xiaojun Yang, Jian Liu, Hang Xu, Dongpo Jiang, Lei Xu, Zhuang Chen, Guoying Lin, Zhengping Yang, Zhenjie Hu.

Declarations

Competing interests

The authors declare no conflicts of interest with respect to the authorship and/or publication of this article.
The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The trial protocol was approved by the central institutional review board at Peking union medical college hospital (NO.: S-K1297) and individual consent for this retrospective analysis was waived.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Metadaten
Titel
Factors influencing DVT formation in sepsis
verfasst von
Lu Wang
Xudong Ma
Yujie Chen
Sifa Gao
Wei Pan
Jieqing Chen
Longxiang Su
Huaiwu He
Yun Long
Chang Yin
Xiang Zhou
On Behalf of China National Critical Care Quality Control Centre Group (China-NCCQC)
Publikationsdatum
01.12.2024
Verlag
BioMed Central
Erschienen in
Thrombosis Journal / Ausgabe 1/2024
Elektronische ISSN: 1477-9560
DOI
https://doi.org/10.1186/s12959-024-00582-y

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