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J Cardiothorac Surg ; 19(1): 441, 2024 Jul 13.
Artigo em Inglês | MEDLINE | ID: mdl-39003445

RESUMO

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.


Assuntos
Hospitalização , Trombose Venosa , Humanos , Trombose Venosa/epidemiologia , Fatores de Risco , Feminino , Pessoa de Meia-Idade , Masculino , Prevalência , China/epidemiologia , Estudos Transversais , Hospitalização/estatística & dados numéricos , Idoso , Adulto , Altitude
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