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The Combination of Hemogram Indexes to Predict Exacerbation in Stable Chronic Obstructive Pulmonary Disease

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机构: [1]Fudan Univ, Huadong Hosp, Dept Resp & Crit Care Med, Shanghai, Peoples R China [2]Xinjiang Med Univ, Affiliated Hosp 1, Changji Branch, Dept Resp & Crit Care Med, Xinjiang, Peoples R China [3]Putuo Peoples Hosp, Dept Resp Med, Shanghai, Peoples R China [4]Shanghai Jiao Tong Univ, Sch Med, Tongren Hosp, Dept Resp Med, Shanghai, Peoples R China [5]Fudan Univ, Pudong Med Ctr, Dept Resp Med, Shanghai Pudong Hosp, Shanghai, Peoples R China [6]Shanghai Jiao Tong Univ, Sch Med, Dept Resp & Crit Care Med, Ruijin Hosp, Shanghai, Peoples R China [7]Shanghai Jiao Tong Univ, Sch Med, Xinhua Hosp, Dept Resp Med, Shanghai, Peoples R China [8]Fudan Univ, Huashan Hosp, Dept Resp & Crit Care Med, Shanghai, Peoples R China [9]Baoshan Dist Hosp, Integrated Tradit Chinese & Western Med Hosp, Shanghai, Peoples R China [10]Fudan Univ, Shanghai Hosp 5, Dept Resp Med, Shanghai, Peoples R China [11]Pudong New Dist Peoples Hosp, Dept Resp Med, Shanghai, Peoples R China [12]Tongji Univ, Shanghai Pulm Hosp, Dept Resp Med, Shanghai, Peoples R China [13]Tongji Univ, Dept Pulm & Crit Care Med, Tongji Hosp, Sch Med, Shanghai, Peoples R China [14]Shanghai Jiao Tong Univ, Sch Med, Shanghai Hosp 9, Dept Resp Med, Shanghai, Peoples R China [15]Fudan Univ, Dept Resp & Crit Care Med, Zhongshan Hosp, Shanghai, Peoples R China [16]Navy Mil Med Univ, Changhai Hosp, Dept Resp & Crit Care Med, Shanghai, Peoples R China
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关键词: COPD hemogram index PLR exacerbation inflammation

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Background: Chronic obstructive pulmonary disease (COPD) is characterized by pulmonary and systemic inflammatory processes, and exacerbation of COPD represents a critical moment in the progression of COPD. Several biomarkers of inflammation have been proposed to have a predictive function in acute exacerbation. However, their use is still limited in routine clinical practice. The purpose of our study is to explore the prognostic efficacy of novel inflammatory hemogram indexes in the exacerbation among stable COPD patients. Method: A total of 275 stable COPD patients from the Shanghai COPD Investigation Comorbidity Program were analyzed in our study. Blood examinations, especially ratio indexes like platelet-lymphocyte ratio (PLR), platelet x neutrophil/lymphocyte ratio [systemic immune-inflammation index (SII)], and monocyte x neutrophil/lymphocyte ratio [systemic inflammation response index (SIRI)], lung function test, CT scans, and questionnaires were performed at baseline and routine follow-ups. Clinical characteristics and information of exacerbations were collected every 6 months. The relationship between hemogram indexes and diverse degrees of exacerbation was assessed by logistic regression. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to evaluate the ability of hemogram indexes to predict exacerbation of COPD. Furthermore, the discrimination and accuracy of combined indexes were measured by ROC and calibration curve. Result: There was a significant positive correlation between PLR levels and total exacerbation of COPD patients in a stable stage in a year. Also, the predictive ability of PLR exceeded any other ratio indexes, with an AUC of 0.66. SII and SIRI ranked second only to PLR, with an AUC of 0.64. When combining PLR with other indexes (sex, COPD year, and St. George's Respiratory Questionnaire scores), they were considered as the most suitable panel of index to predict total exacerbation. Based on the result of the ROC curve and calibration curve, the combination shows optimal discrimination and accuracy to predict exacerbation events in COPD patients. Conclusion: The hemogram indexes PLR, SII, and SIRI were associated with COPD exacerbation. Moreover, the prediction capacity of exacerbation was significantly elevated after combining inflammatory hemogram index PLR with other indexes, which will make it a promisingly simple and effective marker to predict exacerbation in patients with stable COPD.

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出版当年[2019]版:
大类 | 3 区 医学
小类 | 3 区 医学:内科
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 医学:内科
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出版当年[2018]版:
Q1 MEDICINE, GENERAL & INTERNAL
最新[2023]版:
Q1 MEDICINE, GENERAL & INTERNAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

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第一作者机构: [1]Fudan Univ, Huadong Hosp, Dept Resp & Crit Care Med, Shanghai, Peoples R China
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通讯机构: [2]Xinjiang Med Univ, Affiliated Hosp 1, Changji Branch, Dept Resp & Crit Care Med, Xinjiang, Peoples R China [16]Navy Mil Med Univ, Changhai Hosp, Dept Resp & Crit Care Med, Shanghai, Peoples R China
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