A case of Galen vein thrombosis occurring after bilateral acetabular fractures in the Tibet plateau – what can we learn?

Background Deep venous thrombosis (DVT) is a serious public health issue that threatens human health and economic development. Presently, differences in the prevalence of DVT among individuals from different nationalities, residents of high-altitude areas, and those consuming any special diet are unknown. Therefore, we aimed to elucidate the prevalence of and the associated risk factors for DVT in hospitalized patients in the plateau areas. Methods The subjects were hospitalized patients in three grade III-a hospitals in the Qinghai Province, China, during January–October 2020. The demographic, clinical, and laboratory data were collected at admission, and ultrasonography of the bilateral lower extremities was performed. The hospital stay-duration was recorded at the time of discharge. Results A total of 3432 patients were enrolled, of which 159 (4.60%) were diagnosed with DVT. The age of > 50 years (OR = 2.434, 95% CI: 1.521–3.894252, P < 0.001), residence altitude of ≥ 3000 m (OR = 2.346, 95% CI: 1.239–4.440, P = 0.009), D-dimer level of ≥ 0.5 mg/L (OR = 2.211, 95% CI: 1.547–3.161, P < 0.001), presence of comorbidities (OR = 1.904, 95% CI: 1.386–2.705, P < 0.001), a history of varicose veins (OR = 1.990, 95% CI: 0.959–4.128, P = 0.045), and current medications (OR = 2.484, 95% CI: 1.778–3.471, P < 0.001) were identified as risk factors for DVT in these plateau areas. Conclusion The prevalence of DVT in the hospitalized patients of the studied plateau areas was 4.60%. We recommend considering individualized risk stratification (age > 50 years, residence altitude ≥ 3000 m, a history of varicose veins, D-dimer level ≥ 0.5 mg/L, current medications, and comorbidities) for patients at the time of admission.

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Prevalence and risk factors of deep venous thrombosis of hospitalizations in plateau: A cross-section analysis

Sun

Pan

et al. 2023

Preprint

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Background: To elucidate the prevalence of and associated risk factors for deep venous thrombosis (DVT) in hospitalized patients in plateau areas. Methods: We enrolled patients who were hospitalized in three grade III-a hospitals in Qinghai Province, China, between January 2020 and October 2020. The demographic and clinical data and laboratory results were collected at admission. Simultaneously, we performed ultrasonography of the bilateral lower extremities, and the length of hospital stay was collected before discharge. Results: In total, 3432 patients were enrolled; of them, 159 were diagnosed with DVT (4.60%). The total length of hospital stay of patients with DVT was longer than that of those without DVT (16.40 ± 7.66 vs. 14.77 ± 8.55 days). Age of >50 years (OR = 1.969, 95% CI: 1.192–3.252, P = 0.008), residence altitude of ≥3000 m (OR = 2.344, 95% CI: 1.238–4.438, P = 0.009), D-dimer level of ≥0.5 mg/L (OR = 2.53, 95% CI: 1.813–3.529, P < 0.001), comorbidities (OR = 1.906, 95% CI: 1.365–2.662, P < 0.001),history of varicose veins (OR = 2.202, 95% CI: 1.096–4.425, P = 0.027), and current medications (OR = 2.591, 95% CI: 1.857–3.616, P < 0.001) were identified as risk factors for DVT in plateau areas. Conclusion: The prevalence of DVT in hospitalized patients in plateau areas was 4.60%. We recommend considering individualized risk stratification (age > 50 years, residence altitude ≥ 3000 m, history of varicose veins, D-dimer level ≥ 0.5 mg/L, current medications, and comorbidities) for patients at admission.

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A case of Galen vein thrombosis occurring after bilateral acetabular fractures in the Tibet plateau – what can we learn?

Cited by 4 publications

References 8 publications

High-Altitude Exposure and Cerebral Venous Thrombosis: An Updated Systematic Review

High-Altitude Exposure and Cerebral Venous Thrombosis: An Updated Systematic Review

Prevalence and risk factors of deep venous thrombosis of hospitalizations in plateau: a cross-section analysis

Prevalence and risk factors of deep venous thrombosis of hospitalizations in plateau: A cross-section analysis

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