高级检索
当前位置: 首页 > 详情页

A New Prognostic Index PDPI for the Risk of Pneumonia Among Patients With Diabetes

文献详情

资源类型:
WOS体系:

收录情况: ◇ SCIE

单位: [1]Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine,Shanghai, China [2]Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China [3]Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai,China [4]Department of Biostatistics, Clinical Research Institute, Shanghai Jiaotong University School of Medicine, Shanghai,China [5]Department of Respiratory Disease, The People’s Hospital of Putuo District, Shanghai, China [6]Department ofRespiratory Disease, Huangpu Branch of the Ninth People’s Hospital Affiliated to Shanghai Jiao Tong University School ofMedicine, Shanghai, China [7]Department of Respiratory Disease, Xuhui District Central Hospital, Shanghai, China [8]Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China [9]Department of Respiratory and CriticalCare Medicine, Navy Medical University Pulmonary and Critical Care Medicine, Shanghai, China
出处:
ISSN:

关键词: diabetes pneumonia predicting score risk factor nomogram

摘要:
Objective Risk factors for the development of pneumonia among patients with diabetes mellitus are unclear. The aim of our study was to elucidate the potential risk factors and attempt to predict the probability of pneumonia based on the history of diabetes.</p> Methods We performed a population-based, prospective multicenter cohort study of 1,043 adult patients with diabetes in China during 2017-2019. Demographic information, comorbidities, or laboratory examinations were collected.</p> Results The study included 417 diabetic patients with pneumonia and 626 no-pneumonia-onset diabetic patients. The predictive risk factors were chosen on the basis of a multivariate logistic regression model to predict pneumonia among patients with diabetes including male sex [odds ratio (OR) = 1.72, 95% confidence interval (CI): 1.27-2.33, p < 0.001], age >= 75 years (OR = 2.31, 95% CI: 1.61-3.31, p < 0.001), body mass index < 25 (OR = 2.59, 95% CI: 1.92-3.50, p < 0.001), chronic obstructive pulmonary disease (OR = 6.58, 95% CI: 2.09-20.7, p = 0.001), hypertension (OR = 4.27, 95% CI: 3.12-5.85, p < 0.001), coronary heart disease (OR = 2.98, 95% CI: 1.61-5.52, p < 0.001), renal failure (OR = 1.82, 95% CI: 1.002-3.29, p = 0.049), cancer (OR = 3.57, 95% CI: 1.80-7.06, p < 0.001), use of insulin (OR = 2.28, 95% CI: 1.60-3.25, p < 0.001), and hemoglobin A1c >= 9% (OR = 2.70, 95% CI: 1.89-3.85, p < 0.001). A predictive nomogram was established. This model showed c-statistics of 0.811, and sensitivity and specificity were 0.717 and 0.780, respectively, under cut-off of 125 score.</p> Conclusion We designed a clinically predictive tool for assessing the risk of pneumonia among adult patients with diabetes. This tool stratifies patients into relevant risk categories and may provide a basis for individually tailored intervention for the purpose of early prevention.</p>

基金:
语种:
WOS:
中科院(CAS)分区:
出版当年[2020]版:
大类 | 2 区 医学
小类 | 3 区 免疫学 3 区 微生物学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 免疫学 2 区 微生物学
JCR分区:
出版当年[2019]版:
Q2 IMMUNOLOGY Q2 MICROBIOLOGY
最新[2023]版:
Q1 MICROBIOLOGY Q2 IMMUNOLOGY

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2019版] 出版当年五年平均[2015-2019] 出版前一年[2018版] 出版后一年[2020版]

第一作者:
第一作者单位: [1]Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine,Shanghai, China [2]Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China [3]Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai,China
共同第一作者:
通讯作者:
通讯机构: [1]Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine,Shanghai, China [2]Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, China [3]Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai,China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:1320 今日访问量:0 总访问量:816 更新日期:2025-04-01 建议使用谷歌、火狐浏览器 常见问题

版权所有:重庆聚合科技有限公司 渝ICP备12007440号-3 地址:重庆市两江新区泰山大道西段8号坤恩国际商务中心16层(401121)