Literature DB >> 24755201

Frequency of deep vein thrombosis among hospitalized non-surgical Japanese patients with congestive heart failure.

Hiroshi Matsuo1, Makoto Matsumura2, Yoshie Nakajima3, Tomohiro Ogawa4, Junichi Tazaki5, Takahiro Doi6, Norikazu Yamada7, Takashi Koide8, Makoto Mo9, Takeo Suzuki10, Nobuaki Sarai10, Hiromu Nakajima10.   

Abstract

PURPOSE: Congestive heart failure (CHF) is one of the risk factors for deep vein thrombosis (DVT) according to the Japanese guidelines for DVT treatment and prevention. The purpose of this study is to estimate the frequency of DVT among hospitalized CHF patients, since there have been only limited DVT data in Japanese CHF patients.
METHODS: Patients enrolled in the study were with risk factors for DVT listed in the guidelines as well as with acute exacerbation of CHF, bed rest for at least 4 days, and aged 60 or above. Patients treated by physical prophylaxis or anti-platelet medication were included, while patients treated by any anticoagulant medicines were excluded. Patients with surgery or injury within 3 months before the hospitalization or diagnosed clinically or with obvious past history as having DVT at hospitalization were excluded. The presence of DVT in the eligible patients was determined by ultrasonography and the images were evaluated by an independent central evaluation committee.
RESULTS: Forty-four patients were enrolled in the study including 19 males and 25 females. The mean age was 79.0±10.6 years, and the mean duration of bed rest was 8.9±3.2 days. Out of these 44 patients, DVT was detected in 15 (34%) patients. Eight patients were on treatment with physical prophylaxis but DVT was still detected in two patients. Furthermore, 12 out of the rest of the patients were treated by anti-platelet agents and were still with DVT in 3 patients.
CONCLUSION: When evaluated ultrasonographically, the frequency of DVT in hospitalized non-surgical Japanese patients with CHF was approximately 35%. DVT occurred in 25% of patients treated by physical prophylaxis or anti-platelet agents. The results suggest that Japanese hospitalized patients with CHF have a high risk of DVT and thus can be recognized to have potential benefit by preventing and treating DVT according to the guidelines.
Copyright © 2014 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Congestive heart failure; Deep vein thrombosis; Epidemiology; Venous thromboembolism

Mesh:

Substances:

Year:  2014        PMID: 24755201     DOI: 10.1016/j.jjcc.2014.02.028

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  7 in total

1.  Evaluation of D-Dimer in Screening Deep Vein Thrombosis in Hospitalized Japanese Patients with Acute Medical Diseases/Episodes.

Authors:  Hiroshi Matsuo; Yoshie Nakajima; Tomohiro Ogawa; Makoto Mo; Junichi Tazaki; Takahiro Doi; Norikazu Yamada; Takeo Suzuki; Hiromu Nakajima
Journal:  Ann Vasc Dis       Date:  2016-07-19

2.  Occurrence of Deep Vein Thrombosis among Hospitalized Non-Surgical Japanese Patients.

Authors:  Norikazu Yamada; Kazuhiko Hanzawa; Satoshi Ota; Mashio Nakamura; Koichi Sato; Maiko Ikura; Takeo Suzuki; Toshihiko Kaise; Hiromu Nakajima; Masaaki Ito
Journal:  Ann Vasc Dis       Date:  2015-06-19

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Journal:  Electron Physician       Date:  2017-10-25

4.  Deep venous thrombosis in elderly patients as a surgical emergency at King Abdulaziz University Hospital, Jeddah, Saudi Arabia.

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Journal:  Electron Physician       Date:  2017-11-25

Review 5.  Reduced cardiac function and risk of venous thromboembolism in Asian countries.

Authors:  Ruiqi Zhu; Liang Tang; Yu Hu
Journal:  Thromb J       Date:  2017-04-24

6.  ACVIM consensus statement on the treatment of immune-mediated hemolytic anemia in dogs.

Authors:  James W Swann; Oliver A Garden; Claire L Fellman; Barbara Glanemann; Robert Goggs; Dana N LeVine; Andrew J Mackin; Nathaniel T Whitley
Journal:  J Vet Intern Med       Date:  2019-03-07       Impact factor: 3.333

7.  DBCSMOTE: a clustering-based oversampling technique for data-imbalanced warfarin dose prediction.

Authors:  Yanyun Tao; Yuzhen Zhang; Bin Jiang
Journal:  BMC Med Genomics       Date:  2020-10-22       Impact factor: 3.063

  7 in total

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