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

Author(s):  
Morteza Habibi Moghadam ◽  
Marzieh Asadizaker ◽  
Simin Jahani ◽  
Elham Maraghi ◽  
Hakimeh Saadatifar ◽  
...  

 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.

2018 ◽  
Vol 30 (3) ◽  
pp. 645-651
Author(s):  
Kristi L. Hargrove ◽  
Colleen A. Barthol ◽  
Stefan Allen ◽  
Crystal Franco-Martinez

CHEST Journal ◽  
2007 ◽  
Vol 132 (4) ◽  
pp. 625C
Author(s):  
Hani Jaouni ◽  
Shadi Haddadin ◽  
Lenora Adams ◽  
Joshua S. Botdorf ◽  
Maen B. Nusair ◽  
...  

2015 ◽  
Vol 1 (4) ◽  
Author(s):  
Banafsheh Nekoonam ◽  
Azadeh Eshraghi ◽  
Mohammadreza Hajiesmaeili ◽  
Zahra Sahraei

CHEST Journal ◽  
2010 ◽  
Vol 138 (4) ◽  
pp. 834A
Author(s):  
Casey L. Stahlheber ◽  
Shilpa Patel ◽  
Thameem Danish ◽  
Jason Goodin ◽  
Micheal Aro ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Runnan Shen ◽  
Ming Gao ◽  
Yangu Tao ◽  
Qinchang Chen ◽  
Guitao Wu ◽  
...  

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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