Elevated body fat is a risk factor for venous thromboembolism and thrombotic complications

García-Raso, Aránzazu; Llamas-Sillero, Pilar

doi:10.7243/2054-9911-2-3

Cited by 12 publications

(9 citation statements)

References 34 publications

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“…The observed associations in the present study were mostly influenced by the confounding factor total body fat. This is in line with findings of other studies, in which body fat has been associated with concentrations of glucose and HbA1c, and also with VT, possibly due to an adiposity‐driven low‐grade inflammation leading to a hypercoagulable state …”

Section: Discussionsupporting

confidence: 92%

“…Model 1 (green) = crude model. Model 5 (blue) = model 1 adjusted for age, sex, % total body fat, smoking, ethnicity, education, physical activity, active cancer, menopausal status, current use of oral contraceptive pill, current use of hormonal replacement therapy, and alcohol consumption other studies, in which body fat has been associated with concentrations of glucose and HbA1c, 44 and also with VT, 45 possibly due to an adiposity-driven low-grade inflammation leading to a hypercoagulable state. 23,46 In the present study, we observed elevated FVIII, FIX, and FXI levels in hyperglycemic participants.…”

Section: Glucosementioning

confidence: 99%

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Glucose metabolism affects coagulation factors: The NEO study

Toorn

Mutsert

Lijfering

et al. 2019

Journal of Thrombosis and Haemostasis

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Background It is insufficiently understood if there is an association between diabetes and VT, and what the underlying mechanism would be. Objectives We aimed to study the association between glucose concentrations with several coagulation factors in the general population. Methods This is a cross‐sectional analysis of baseline measurements within 5778 participants of the Netherlands Epidemiology of Obesity (NEO) study, a population‐based cohort study of individuals 45 to 65 years. Associations between fasting glucose and HbA1c concentrations, and postprandial glucose response and factor (F) VIII, FIX, FXI, and fibrinogen levels were examined using linear regression analyses and by calculating mean levels per category of glucose concentrations while adjusting for confounding factors. Results Per each mmol/L higher fasting glucose concentration we observed higher levels of fasting FVIII (5.33%, 95% CI: 4.00‐6.65), FIX (6.19%, 95% CI: 5.15‐7.23), and FXI (2.11%, 95% CI: 1.20‐3.02). Results for fasting HbA1c and postprandial glucose response were similar. Participants with an impaired fasting glucose, high fasting glucose, and diabetes mellitus had higher mean levels of FVIII, FIX, and FXI than those with a normal glucose metabolism, with the highest differences in the levels of FVIII, FIX, and FXI between a high fasting glucose and a normal glucose metabolism. All associations attenuated after adjustment for total body fat, yet all of the above associations remained after adjustment for the confounding factors, except for fibrinogen when contrasted to glucose. Conclusion Concentrations of fasting glucose and HbA1c and postprandial glucose response were positively associated with FVIII, FIX, and FXI, and to some extent also with fibrinogen.

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Section: Discussionsupporting

confidence: 92%

Section: Glucosementioning

confidence: 99%

Glucose metabolism affects coagulation factors: The NEO study

Toorn

Mutsert

Lijfering

et al. 2019

Journal of Thrombosis and Haemostasis

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“…On the other hand, there was a higher prevalence of malignancy in normal BMI patients (P < .03). The frequency of Doppler ultrasound follow-up performed in obese patients was significantly higher than that of normal weight patients, 3 (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) vs. 2 (1-20); P ¼ .001.…”

Section: Normal Overweight and Obese Patientsmentioning

confidence: 90%

“…5,[9][10][11] A recent case-control study of 265 participants showed that patients with overweight or obesity had a 3-or 5-fold increased risk of developing VTE, respectively. 12 This could be explained by the fact that increased body weight poses a prothrombotic status that alters the coagulation profile and impairs fibrinolytic activity. 4,5,13 There is a rising concern regarding the rate of obesity and its associated comorbidities in the Arab Middle East region, particularly in Qatar, in which the rate of obesity has been reported to be as high as 33% with a predominance of female over male gender.…”

Section: Introductionmentioning

confidence: 99%

Obesity Paradox in Patients With Deep Venous Thrombosis

El‐Menyar

Asim

Al-Thani

2017

Clin Appl Thromb Hemost

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We aimed to investigate the association between obesity and deep venous thrombosis (DVT) in a country with a high prevalence of obesity. This is a retrospective cohort study of patients who presented with DVT between 2008 and 2012. Data were analyzed and compared based on body mass index (BMI), and patients were classified into normal (<25), overweight (25 to <30), obese I (30 to <35), obese II (35 to <40), and obese III (40). Among 662 patients with DVT, 28% were overweight and 49% were obese. The mean age was 50.3 (16.5) years, and 51% were females. Diabetes mellitus and prior venous thromboembolism were significantly higher among obese patients. History of malignancy was more common in nonobese patients. Protein S and antithrombin III deficiency and hyperhomocysteinemia were more prevalent among morbid obese patients. Also, obese patients had higher incidence of thrombosis in the distal veins (P ¼ .03). Warfarin use and long-term therapy were more frequent in obese than nonobese. Postthrombotic syndrome was comparable in obese and nonobese groups. Recurrent DVT was higher in obese I (P < .01), whereas mortality rates were greater in nonobese groups (P ¼ .001). Malignancy, diabetes mellitus, and common femoral vein involvement were predictors of mortality, whereas BMI 30 was the predictor of survival. Cox regression models showed that after adjusting for age, sex, pulmonary embolism, and duration of warfarin treatment, BMI 40 had better survival (hazard ratio: 0.177, 95% confidence interval: 0.045-0.691, P ¼ .013). There is a significant association between obesity and DVT. Obese patients have characteristic risk factors and better survival. This obesity paradox needs further studies to assess its clinical and pharmacotherapeutic implications.

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“…Thus the condition of the cardiovascular system (along with the aging) contributes to its effectiveness in thermoregulation. The elevated amount of fat in the body is a risk factor for thrombosis [4,5]. Thermal imaging has been used to detect breast cancer [6,7], it has been used in intra-operative imaging [8], in ocular imaging [9] and in the screening of fever [7].…”

Section: Introductionmentioning

confidence: 99%

Improving nursing methods by using thermal imaging: Observations by CAT S60 mobile phone

et al. 2017

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The purpose of this preliminary study was to examine, how thermal imaging could help in advancing nursing methods and offer some new usage targets of thermal imaging in promoting the wellness of a patient. By using CAT S60 cellular phone with an inbuilt Flir thermal camera, thermal pictures were taken from four voluntary subjects in order to find out if thermal imaging with CAT S60 phone could help the treatment of a patient. Thermal camera images were taken in order to find out temperature changes from the whole body, limbs and extremities. By using thermal imaging the beginning of treatment could be hastened and the monitoring of the state of a patient would be more efficient thus improving the prognosis of a patient. The benefit of the method is, that it is non-invasive, cheap and easy to use (inside a cellular phone) thus being a clear advantage in health care operations.The results of different usage methods seen in thermal images suggest that thermal imaging with CAT S60 phone could be used to improve nursing methods and may also for its part to help in diagnosis. The present preliminary observations via thermal images showed, that the resolution of CAT S60 phone was sufficient to detect changes in human body temperature in home life. This may suggest the usage of the CAT S60 phone in home care services.

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Elevated body fat is a risk factor for venous thromboembolism and thrombotic complications

Cited by 12 publications

References 34 publications

Glucose metabolism affects coagulation factors: The NEO study

Glucose metabolism affects coagulation factors: The NEO study

Obesity Paradox in Patients With Deep Venous Thrombosis

Improving nursing methods by using thermal imaging: Observations by CAT S60 mobile phone

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