{
    "abstract": "This study aims to ascertain the predictive value of platelet and inflammation markers in severe cases of COVID-19.\nA retrospective real-world cohort study was conducted using propensity score matching (PSM). Patients were classified into severe and non-severe COVID-19 groups based on the severity of the disease, and the correlation between severe COVID-19 and laboratory parameters at admission was analyzed.\nThe study included 397 adult patients, comprising 212 (53%) males and 185 (47%) females. Among these, 309 were non-severe and 88 were severe cases. The severe group had a higher median age than the non-severe group (60 vs. 42 years, p < 0.001). Independent risk factors for severe COVID-19 included age, diabetes comorbidity, fever, respiratory symptoms, platelet count, high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), and the ratio of arterial oxygen partial pressure (PaO2) to the fraction of inspired oxygen (FiO2) (P/F ratio). After one-to-one PSM, adjusted for age, diabetes comorbidities, fever, and respiratory symptoms, significant differences in laboratory parameters at admission were observed. Compared to the non-severe group (n = 71), in the severe group (n = 71), elevated levels of hsCRP (median: 27.1 mg/L vs. 14.6 mg/L, p = 0.005) and IL-6 (median: 16.2 pg/mL vs. 15.3 pg/mL, p = 0.005) were observed, while platelet count (164 \u00b1 36 \u00d7 109 vs. 180 \u00b1 50 \u00d7 109, p = 0.02) and P/F ratio (median: 351 vs. 397, p = 0.001) were reduced.\nElevated levels of hsCRP and IL-6, along with reduced platelet count and P/F ratio at admission, were significantly associated with severe COVID-19 and may serve as predictive indicators.",
    "authors": [
        {
            "affiliation": null,
            "firstname": "Yan",
            "initials": "Y",
            "lastname": "Liu"
        },
        {
            "affiliation": null,
            "firstname": "Hua",
            "initials": "H",
            "lastname": "Huang"
        },
        {
            "affiliation": null,
            "firstname": "Jiawei",
            "initials": "J",
            "lastname": "Zheng"
        },
        {
            "affiliation": null,
            "firstname": "Zhichao",
            "initials": "Z",
            "lastname": "Liu"
        },
        {
            "affiliation": null,
            "firstname": "Denggao",
            "initials": "D",
            "lastname": "Peng"
        }
    ],
    "conclusions": null,
    "copyrights": null,
    "doi": "10.7754/Clin.Lab.2023.231027",
    "journal": "Clinical laboratory",
    "keywords": [],
    "methods": null,
    "publication_date": "2024-04-16",
    "pubmed_id": "38623665",
    "results": "The study included 397 adult patients, comprising 212 (53%) males and 185 (47%) females. Among these, 309 were non-severe and 88 were severe cases. The severe group had a higher median age than the non-severe group (60 vs. 42 years, p < 0.001). Independent risk factors for severe COVID-19 included age, diabetes comorbidity, fever, respiratory symptoms, platelet count, high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), and the ratio of arterial oxygen partial pressure (PaO2) to the fraction of inspired oxygen (FiO2) (P/F ratio). After one-to-one PSM, adjusted for age, diabetes comorbidities, fever, and respiratory symptoms, significant differences in laboratory parameters at admission were observed. Compared to the non-severe group (n = 71), in the severe group (n = 71), elevated levels of hsCRP (median: 27.1 mg/L vs. 14.6 mg/L, p = 0.005) and IL-6 (median: 16.2 pg/mL vs. 15.3 pg/mL, p = 0.005) were observed, while platelet count (164 \u00b1 36 \u00d7 109 vs. 180 \u00b1 50 \u00d7 109, p = 0.02) and P/F ratio (median: 351 vs. 397, p = 0.001) were reduced.",
    "title": "Predictive Role of Platelet and Inflammation Markers for Severe COVID-19 by Propensity Score Matching.",
    "xml": "<Element 'PubmedArticle' at 0x788502625710>"
}