Predictive value of the Kuijer score for bleeding and other adverse in-hospital events in patients with venous thromboembolism
Introduction
Venous thromboembolism (VTE), including both deep vein thrombosis and pulmonary embolism (PE) affects approximately 1–2 adults per 1000 individuals every year [1]. Thus, VTE is a commonly diagnosed condition with significant morbidity and mortality [2]. Current international guidelines recommend treatment with anticoagulant therapy for acute PE and/or deep vein thrombosis for a duration of at least 3 months [3,4]. The aim of anticoagulation therapy is to treat the current VTE and to prevent recurrent VTE events [1,[3], [4], [5], [6]]. However, anticoagulation also imposes an increased risk for minor and major bleeding events and this risk of every VTE patient must be evaluated to determine adequate treatment plans for each VTE patient [1,4]. Bleeding events are the main adverse outcome seen with the anticoagulant therapy and major bleeding events are potentially life-threatening complications of this therapy [7,8]. However, it remains challenging to quantify the individual risk of major bleeding [9,10]. Although several risk assessment models and scores have been developed in the past years (Table 1) [[10], [11], [12], [13], [14], [15], [16], [17], [18]], their usage is not common in daily clinical routine due to complex and mostly time-consuming assessment. An exception among these risk assessment models and scores regarding time-consuming assessment represents the Kuijer score, which could easily be assessed [14].
Thus, the objective of our study was to investigate the usage of the Kuijer score to predict major bleeding events such as intracerebral bleeding as well as death, major adverse cardiac and cerebrovascular events and other adverse events during in-hospital stay.
Section snippets
Data source
The German nationwide inpatient statistics (diagnosis related groups [DRG] statistic) was used for this study-analysis (source: Research data center [RDC] of the Federal Statistical Office and the Statistical Offices of the federal states, DRG Statistics 2005–2017, own calculations). The Federal Statistical Office of Germany (Statistisches Bundesamt, Wiesbaden, Germany) collects all treatment data from hospitalized patients in Germany (processed according to the DRG system). Since the health
Results
Overall, 1,204,895 hospitalized VTE patients were treated between 2005 and 2017 in Germany and were included in the present study (839,143 patients had DVT and 669,881 patients PE). According to the Kuijer risk class stratification, in total, 176,723 (14.7%) of the hospitalized VTE patients were classified as low risk, 914,964 (75.9%) as intermediate risk and 113,208 (9.4%) as high risk (Table 2).
While the Kuijer score risk class decreased slightly over time from 2005 to the year 2017 (β −0.08
Discussion
VTE constitutes a major global burden of disease [22]. Current international guidelines recommend treatment with anticoagulant therapy for VTE events of at least 3 months [3,4] aiming to treat the current VTE (dissolve the thrombus and/or embolus) and to prevent sequalae of the acute VTE disease as well as recurrent VTE events [1,[3], [4], [5], [6],23,24]. Despite these important positive effects of anticoagulant treatment, anticoagulation also imposes an increased risk for bleeding events [1,4
Conclusions
The Kuijer score is an important risk stratification tool to predict individual risk regarding in-hospital outcomes comprising major bleeding events such as intracerebral bleeding and necessity of transfusion of blood constituents, but also in-hospital mortality and MACCE in VTE patients.
Author contributions
Karsten Keller and Lukas Hobohm were involved in the conception and design of the study and analysis and interpretation of the data; all authors contributed in drafting and revising the paper critically for intellectual content and gave final approval of the version to be published and agree to be accountable for all aspects of the work.
Funding
This study was supported by the German Federal Ministry of Education and Research (BMBF 01EO1503); institutional grant for the Center for Thrombosis and Hemostasis. The authors are responsible for the contents of this publication.
Declaration of Competing Interest
The authors report no conflicts of interests.
Acknowledgements
We thank the Federal Statistical Office of Germany (Statistisches Bundesamt, DEStatis) for providing the data/results and the kind permission to publish these data/results (source: RDC of the Federal Statistical Office and the Statistical Offices of the federal states, DRG Statistics 2005-2017, own calculations).
References (37)
- et al.
Validation of a score for predicting fatal bleeding in patients receiving anticoagulation for venous thromboembolism
Thromb. Res.
(2013) - et al.
Antithrombotic therapy for VTE disease: CHEST guideline and expert panel report
Chest.
(2016) - et al.
Management of Pulmonary Embolism: an update
J. Am. Coll. Cardiol.
(2016) - et al.
Derivation of a clinical prediction score for chronic thromboembolic pulmonary hypertension after acute pulmonary embolism
J. Thromb. Haemost.
(2016) - et al.
A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the euro heart survey
Chest.
(2010) - et al.
Prospective evaluation of an index for predicting the risk of major bleeding in outpatients treated with warfarin
Am. J. Med.
(1998) - et al.
Major bleeding in outpatients treated with warfarin: incidence and prediction by factors known at the start of outpatient therapy
Am. J. Med.
(1989) - et al.
European resuscitation council guidelines for resuscitation 2015: section 2. Adult basic life support and automated external defibrillation
Resuscitation.
(2015) - et al.
Deep vein thrombosis and pulmonary embolism
Lancet.
(2016) - et al.
Quality of life and functional limitations after pulmonary embolism and its prognostic relevance
J. Thromb. Haemost.
(2019)
The post-PE syndrome: a new concept for chronic complications of pulmonary embolism
Blood Rev.
Clinical classification schemes for predicting hemorrhage: results from the National Registry of atrial fibrillation (NRAF)
Am. Heart J.
A new risk scheme to predict warfarin-associated hemorrhage: the ATRIA (anticoagulation and risk factors in atrial fibrillation) study
J. Am. Coll. Cardiol.
Prospective, multicenter validation of prediction scores for major bleeding in elderly patients with venous thromboembolism
J. Thromb. Haemost.
Risk stratification for bleeding complications in patients with venous thromboembolism: application of the HAS-BLED bleeding score during the first 6 months of anticoagulant treatment
J. Am. Heart Assoc.
The 2019 ESC guidelines on the diagnosis and Management of Acute Pulmonary Embolism
Eur. Heart J.
Trends in thrombolytic treatment and outcomes of acute pulmonary embolism in Germany
Eur. Heart J.
Risk of fatal bleeding in episodes of major bleeding with new oral anticoagulants and vitamin K antagonists: a systematic review and meta-analysis
PLoS One
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Both authors contributed equally and should both be considered as last authors.