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Albumin concentration is a candidate indicator for predicting the risk of calf venous thromboembolism in patients undergoing gynecologic surgery

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单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Obstet & Gynecol, 1095 Jiefang Rd, Wuhan 430030, Hubei, Peoples R China [2]Wuhan Univ, Dept Rehabil Med, Zhongnan Hosp, Wuhan, Hubei, Peoples R China [3]Lanzhou Univ, Hosp 2, Dept Neurosurg, Lanzhou, Gansu, Peoples R China [4]Luan Peoples Hosp, Dept Obstet & Gynecol, Luan, Anhui, Peoples R China [5]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Training, Wuhan, Hubei, Peoples R China
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关键词: albumin concentration calf venous thromboembolism D-dimer gynecologic surgery predictive ability

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Objective To explore the ability of albumin concentration to predict calf venous thromboembolism (cVTE) in gynecologic diseases. Methods We analyzed data from 761 patients from the gynecology department. We screened the serum albumin concentration as an important indicator for predicting cVTE through logistic analysis. The data were divided into albumin below 35 and 35 g/L or more. Receiver operating characteristics analysis was used to compare the predictive ability of albumin, D-dimer, and a combination of these parameters as indicators for cVTE risk in different groups and subgroups. Results In gynecologic diseases, the albumin concentrations were lower in the surgery and malignancy group than in the chemotherapy and benign disease group. Albumin concentration had a predictive ability for cVTE risk. In ovarian cancer patients with albumin concentrations less than 35 g/L, albumin was better than D-dimer at predicting cVTE (area under the curve [AUC] 0.79, 95% confidence interval [CI] 0.70-0.87, P < 0.001 versus AUC 0.65, 95% CI 0.54-0.77, P = 0.016). Conclusion The albumin concentration was a candidate indicator for predicting cVTE in surgical patients in the gynecology department, especially in ovarian cancer patients with albumin concentrations less than 35 g/L. A combination of the albumin and D-dimer parameters may improve the predictive ability for cVTE.

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出版当年[2021]版:
大类 | 4 区 医学
小类 | 4 区 妇产科学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 妇产科学
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出版当年[2020]版:
Q1 OBSTETRICS & GYNECOLOGY
最新[2023]版:
Q2 OBSTETRICS & GYNECOLOGY

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第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Obstet & Gynecol, 1095 Jiefang Rd, Wuhan 430030, Hubei, Peoples R China
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