Establishment of a Predictive Diagnostic Model for Acute Mycoplasma Pneumoniae Infection in Elderly Patients with Community-acquired Pneumonia.
- Author:
Hong Li XIAO
1
;
De Li XIN
2
;
Yan WANG
1
;
Li Jian CUI
3
;
Xiao Ya LIU
4
;
Song LIU
5
;
Li Hong SONG
6
;
Chun Ling LIU
7
;
Cheng Hong YIN
4
Author Information
- Publication Type:Journal Article
- MeSH: Aged; Community-Acquired Infections; diagnosis; Humans; Middle Aged; Models, Biological; Pneumonia, Mycoplasma; diagnosis; Predictive Value of Tests
- From: Biomedical and Environmental Sciences 2017;30(7):540-544
- CountryChina
- Language:English
- 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 ⋝ 1:40. 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.
