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.
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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