首页|复杂网络社区发现视角下慢性阻塞性肺疾病患者的共病特征分析

复杂网络社区发现视角下慢性阻塞性肺疾病患者的共病特征分析

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目的 探讨不同性别慢性阻塞性肺疾病患者的共病模式,为慢性阻塞性肺疾病患者分层管理提供理论依据.方法 选取山西医科大学第二医院2011 年12 月至2020 年5 月慢性阻塞性肺疾病患者作为研究对象,横断面收集患者诊断信息建立共病网络,采用Louvain法对共病网络进行社区划分,并分析比较不同性别患者共病类型、组合及患病率.结果 研究表明不同性别患者单个慢性病和共病对的患病率存在差异;各患者群体对应的共病网络和社区结构也不同.结论 男性患者共病网络较女性患者共病网络更聚集和复杂,男性患者的共病模式比女性患者更复杂多样,疾病间联系更为紧密,在慢性阻塞性肺疾病患者中更应多关注男性患者,以期减少共病的发生.
Analysis of Comorbidity Characteristics Found in Community under Complex Network of Patients with Chronic Obstructive Pulmonary Disease
Objective To explore the comorbidity patterns of different gender patients with chronic obstructive pulmonary disease(COPD)and provide theoretical basis for the hierarchical management of COPD patients.Methods The patients with chronic obstructive pulmonary disease from December 2011 to May 2020 in the Second Hospital of Shanxi Medical University were selected as the study subjects.The cross-sectional diagnostic information of patients was collected to establish a comorbidity network.The community of the comorbidity network was divided by Louvain method,and the comorbidity types,combinations and prevalence rates of patients with different genders were analyzed and compared.Results Our study manifested that there were differences in the prevalence of single chronic disease and comorbidity in patients with different genders.The corresponding comorbidity network and community structure of each patient group were also different.Conclusion The comorbidity network of male patients is more concentrated and complex than that of female patients.The comorbidity pattern of male patients is more complex and diverse than that of female patients,and the relationship between diseases is closer.It verifies that the comorbidity pattern of different gender patients is different.In patients with chronic obstructive pulmonary disease,more attention should be paid to male patients in order to reduce the incidence of comorbidity.

COPDComorbidityComplex networkCommunity discovery

杨青青、何航帜、李莉芳、王莹、李少凡、赵卉、张岩波

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山西医科大学公共卫生学院流行病与卫生统计学教研室(030001)

山西医科大学第二医院呼吸与危重症医学科

重大疾病风险评估山西省重点实验室(201805D111006)

慢性阻塞性肺疾病 共病 复杂网络 社区发现

国家自然科学基金中央引导地方科技发展专项

82173631YDZX20191400004736

2024

中国卫生统计
中国卫生信息学会 中国医科大学

中国卫生统计

CSTPCD北大核心
影响因子:1.172
ISSN:1002-3674
年,卷(期):2024.41(2)
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