scholarly journals Deep vein thrombosis and pulmonary embolism among hospitalized coronavirus disease 2019–positive patients predicted for higher mortality and prolonged intensive care unit and hospital stays in a multisite healthcare system

2021 ◽  
Author(s):  
Young Erben ◽  
Camila Franco-Mesa ◽  
Peter Gloviczki ◽  
William Stone ◽  
Alfredo Quinones-Hinojoas ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Pulmonary Embolism ◽  
Intensive Care ◽  
Deep Vein Thrombosis ◽  
Healthcare System ◽  
Vein Thrombosis ◽  
Hospital Stays ◽  
Deep Vein

scholarly journals INVESTIGATING EFFECT OF NURSING INTERVENTIONS, BASED ON WELLS SCORE RESULTS, ON THE INCIDENCE OF DEEP VEIN THROMBOSIS IN PATIENTS ADMITTED TO THE INTENSIVE CARE UNIT

2018 ◽  
Vol 11 (5) ◽  
pp. 377
Author(s):  
Morteza Habibi Moghadam ◽  
Marzieh Asadizaker ◽  
Simin Jahani ◽  
Elham Maraghi ◽  
Hakimeh Saadatifar ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Deep Vein Thrombosis ◽  
Intervention Group ◽  
Control Group ◽  
Nursing Interventions ◽  
Vein Thrombosis ◽  
Wells Score ◽  
Deep Vein ◽  
Pitting Edema

 Objective: Venous thromboembolism, including deep vein thrombosis (DVT) and pulmonary embolism (PE), is a common complaint in critically ill patients. Therefore, the present study was conducted to determine the effect of nursing interventions, based on the Wells results, on the incidence of DVT in intensive care unit (ICU) patients.Methods: The present clinical trial was conducted on 72 ICU patients without DVT and PE who met the inclusion criteria according to Wells score in Dr. Ganjavian Hospital, Dezful in 2012. The participants were investigated and randomly divided into intervention (n=36) and control groups (n=36). The intervention group received preventive nursing measures based on the risk level determined by the Wells score, and routine therapeutic interventions were performed for the control group. Then, patients were evaluated using Wells score, D-dimer testing, and Doppler sonography on the 1st, 5th, and 10th days. Data were finally coded and entered into SPSS version 23. Data analysis was performed using Chi-square, Fisher’s exact, and Mann–Whitney U tests.Results: The incidence of DVT in both groups showed that 2 patients of the control group who were identified to be at risk using the Wells score were diagnosed with DVT while none of the patients of the intervention group experienced DVT. The present study showed that 22.2% of the patients of the control group suffered from non-pitting edema, which was significantly different from the intervention group (p=0.005).Conclusion: The results of the present study showed that using the Wells score for early identification of the at-risk patients and nursing interventions based on this score’s results is helpful in the prevention of DVT. Appropriate nursing interventions were also effective in reducing the incidence of non-pitting edema in the lower extremities.

Surveillance Ultrasound in the Neuro Intensive Care Unit: Time to Deep Vein Thrombosis Diagnosis

2018 ◽  
Vol 30 (3) ◽  
pp. 645-651
Author(s):  
Kristi L. Hargrove ◽  
Colleen A. Barthol ◽  
Stefan Allen ◽  
Crystal Franco-Martinez
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Deep Vein Thrombosis ◽  
Vein Thrombosis ◽  
Deep Vein

More than one in two venous thromboembolism treated in French hospitals occurs during the hospital stays

2015 ◽  
Vol 31 (6) ◽  
pp. 390-396 ◽  
Author(s):  
Francois-André Allaert ◽  
Eric Benzenine ◽  
Catherine Quantin
Keyword(s):  
Pulmonary Embolism ◽  
Deep Vein Thrombosis ◽  
Venous Thromboembolism ◽  
Hospital Stay ◽  
Principal Diagnosis ◽  
Vein Thrombosis ◽  
Icd 10 ◽  
Hospital Stays ◽  
Deep Vein

Objective The objective was to describe the prevalence of venous thromboembolism, pulmonary embolism, and deep vein thrombosis among hospitalized patients and the percentages of those occurring during the hospital stays. Methods French DRG gave now the opportunity to investigate the frequency of venous thromboembolism occurring during the hospital stay. Statistics are issued from the national PMSI MCO databases encoded using the CIM10. Since 2010–2011 it is possible to differentiate the reason for hospital admission from the pathologies which secondly occurred. Any stay with the ICD-10 codes selected was considered as a hospital-occurred thrombosis unless it was the principal diagnosis of the first medical unit summary. To eliminate outpatient consultations or in day care, stays of <48 h were excluded. Results The results pertain to the 78,838,983 hospitalizations in France from 2005 to 2011 and on the 18,683,603 hospital stays in 2010–2011. The incidence of hospital stays came to 860,343 (1.09%) for venous thromboembolism, with 428,261 (0.543%) for deep vein thrombosis without pulmonary embolism and 432,082 (0.548%) for pulmonary embolism. It corresponds to an incidence of 189 per 100,000 inhabitants. Out of 100 hospital stays involving venous thromboembolism, for 40.3% venous thromboembolism was the cause of hospitalization whereas 59.7% can be considered to have occurred during hospital stay. These distributions are of 25.6 and 74.4% for deep vein thrombosis, respectively, 53.8 and 46.2% for pulmonary embolism. Conclusion The high proportion of hospital-occurred venous thromboembolism is an alarming situation that should question the quality of prevention and/or its effectiveness.

IMPACT OF TIME OF ADMISSION ON DEEP VEIN THROMBOSIS DVT PROPHYLAXIS IN A CLOSED MEDICAL INTENSIVE CARE UNIT

CHEST Journal ◽  
2007 ◽  
Vol 132 (4) ◽  
pp. 625C
Author(s):  
Hani Jaouni ◽  
Shadi Haddadin ◽  
Lenora Adams ◽  
Joshua S. Botdorf ◽  
Maen B. Nusair ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Deep Vein Thrombosis ◽  
Medical Intensive Care Unit ◽  
Vein Thrombosis ◽  
Dvt Prophylaxis ◽  
Medical Intensive Care ◽  
Time Of Admission ◽  
Deep Vein

scholarly journals Deep Vein Thrombosis Prophylaxis Evaluation in Intensive Care Unit

2015 ◽  
Vol 1 (4) ◽  
Author(s):  
Banafsheh Nekoonam ◽  
Azadeh Eshraghi ◽  
Mohammadreza Hajiesmaeili ◽  
Zahra Sahraei
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Deep Vein Thrombosis ◽  
Thrombosis Prophylaxis ◽  
Vein Thrombosis ◽  
Deep Vein Thrombosis Prophylaxis ◽  
Deep Vein

Intensivist-Performed Limited Compression Ultrasound for Diagnosis of Lower Extremity Deep Vein Thrombosis in the Intensive Care Unit

CHEST Journal ◽  
2010 ◽  
Vol 138 (4) ◽  
pp. 834A
Author(s):  
Casey L. Stahlheber ◽  
Shilpa Patel ◽  
Thameem Danish ◽  
Jason Goodin ◽  
Micheal Aro ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Deep Vein Thrombosis ◽  
Lower Extremity ◽  
Vein Thrombosis ◽  
Compression Ultrasound ◽  
Deep Vein

scholarly journals Prognostic nomogram for 30-day mortality of deep vein thrombosis patients in intensive care unit

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Runnan Shen ◽  
Ming Gao ◽  
Yangu Tao ◽  
Qinchang Chen ◽  
Guitao Wu ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Logistic Regression ◽  
Intensive Care ◽  
Deep Vein Thrombosis ◽  
Prediction Models ◽  
Stepwise Logistic Regression ◽  
Internal Validation ◽  
Vein Thrombosis ◽  
New Models ◽  
Deep Vein

Abstract Background We aimed to use the Medical Information Mart for Intensive Care III database to build a nomogram to identify 30-day mortality risk of deep vein thrombosis (DVT) patients in intensive care unit (ICU). Methods Stepwise logistic regression and logistic regression with least absolute shrinkage and selection operator (LASSO) were used to fit two prediction models. Bootstrap method was used to perform internal validation. Results We obtained baseline data of 535 DVT patients, 91 (17%) of whom died within 30 days. The discriminations of two new models were better than traditional scores. Compared with simplified acute physiology score II (SAPSII), the predictive abilities of two new models were improved (Net reclassification improvement [NRI] > 0; Integrated discrimination improvement [IDI] > 0; P < 0.05). The Brier scores of two new models in training set were 0.091 and 0.108. After internal validation, corrected area under the curves for two models were 0.850 and 0.830, while corrected Brier scores were 0.108 and 0.114. The more concise model was chosen to make the nomogram. Conclusions The nomogram developed by logistic regression with LASSO model can provide an accurate prognosis for DVT patients in ICU.

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