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Establishment of a Predictive Diagnostic Model for Acute Mycoplasma Pneumoniae Infection in Elderly Patients with Community-acquired Pneumonia / 生物医学与环境科学(英文)
Biomedical and Environmental Sciences ; (12): 540-544, 2017.
Article in English | WPRIM | ID: wpr-311380
ABSTRACT
We established a diagnostic model to predict acute Mycoplasma pneumoniae (M. pneumonia) infection in elderly Community-acquired pneumonia (CAP) patients. We divided 456 patients into acute and non-acute M. pneumoniae infection groups. Binary logistic regression and receiver operating characteristic (ROC) curves were used to establish a predictive model. The following independent factors were identified age ⋝ 70 years; serum cTNT level ⋝ 0.05 ng/mL; lobar consolidation; mediastinal lymphadenopathy; and antibody titer in the acute phase ⋝ 140. The area under the ROC curve of the model was 0.923 and a score of ⋝ 7 score predicted acute M. pneumoniae infection in elderly patients with CAP. The predictive model developed in this study has high diagnostic accuracy for the identification of elderly acute M. pneumoniae infection.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Pneumonia, Mycoplasma / Predictive Value of Tests / Community-Acquired Infections / Diagnosis / Models, Biological Type of study: Diagnostic study / Prognostic study Limits: Aged / Humans Language: English Journal: Biomedical and Environmental Sciences Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Pneumonia, Mycoplasma / Predictive Value of Tests / Community-Acquired Infections / Diagnosis / Models, Biological Type of study: Diagnostic study / Prognostic study Limits: Aged / Humans Language: English Journal: Biomedical and Environmental Sciences Year: 2017 Type: Article