{
    "abstract": "The artificial liver support system (ALSS) is an effective treatment method for liver failure, but it requires deep venous intubation and long-term indwelling catheterization. However, the coagulation mechanism disorder of basic liver failure diseases, and deep venous thrombosis (DVT) often occur.\nTo evaluate the risk factors for DVT following use of an ALSS and establish a risk assessment score.\nThis study was divided into three stages. In the first stage, the risk factors for DVT were screened and the patient data were collected, including ALSS treatment information; biochemical indices; coagulation and hematology indices; complications; procoagulant use therapy status; and a total of 24 indicators. In the second stage, a risk assessment score for DVT after ALSS treatment was developed. In the third stage, the DVT risk assessment score was validated.\nA total of 232 patients with liver failure treated with ALSS were enrolled in the first stage, including 12 with lower limb DVT. Logistic regression analysis showed that age [odds ratio (OR), 1.734; \nA simple risk assessment scoring system was established for DVT patients with liver failure treated with ALSS and was verified to have good sensitivity and specificity.",
    "authors": [
        {
            "affiliation": "Department of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China.",
            "firstname": "Yun",
            "initials": "Y",
            "lastname": "Ye"
        },
        {
            "affiliation": "Department of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China.",
            "firstname": "Xiang",
            "initials": "X",
            "lastname": "Li"
        },
        {
            "affiliation": "Department of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China.",
            "firstname": "Li",
            "initials": "L",
            "lastname": "Zhu"
        },
        {
            "affiliation": "Department of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China.",
            "firstname": "Cong",
            "initials": "C",
            "lastname": "Yang"
        },
        {
            "affiliation": "Department of Hepatology, The Third Hospital of Zhenjiang Affiliated Jiangsu University, Zhenjiang 212000, Jiangsu Province, China. tyw915@sina.com.",
            "firstname": "You-Wen",
            "initials": "YW",
            "lastname": "Tan"
        }
    ],
    "conclusions": "A simple risk assessment scoring system was established for DVT patients with liver failure treated with ALSS and was verified to have good sensitivity and specificity.",
    "copyrights": "\u00a9The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.",
    "doi": "10.12998/wjcc.v9.i31.9406",
    "journal": "World journal of clinical cases",
    "keywords": [
        "Artificial liver support system",
        "Deep vein thrombosis",
        "Liver failure",
        "Risk factors",
        "Thrombosis"
    ],
    "methods": null,
    "publication_date": "2021-12-09",
    "pubmed_id": "34877276\n30266162\n26837712\n32918840\n30672818\n31712684\n17403187\n28088580\n28795966\n30855324\n27279896\n8675895\n30638566\n23967737\n2184247\n32949102\n32320491\n29399531\n11854910\n30015230\n28650345\n31402914\n17148587\n30799507\n7970473\n31675482\n22865231\n33425821\n14999675\n23506859\n30986390\n27722160\n31055773\n8620048\n22494827\n31736432\n30616245\n31258531\n24914335\n1666456\n25985219",
    "results": "A total of 232 patients with liver failure treated with ALSS were enrolled in the first stage, including 12 with lower limb DVT. Logistic regression analysis showed that age [odds ratio (OR), 1.734; ",
    "title": "Establishment of a risk assessment score for deep vein thrombosis after artificial liver support system treatment.",
    "xml": "<Element 'PubmedArticle' at 0x7885049d8d60>"
}