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Establishment of a Predictive Diagnostic Model for Acute Mycoplasma Pneumoniae Infection in Elderly Patients with Community-acquired Pneumonia.
Xiao, Hong Li; Xin, De Li; Wang, Yan; Cui, Li Jian; Liu, Xiao Ya; Liu, Song; Song, Li Hong; Liu, Chun Ling; Yin, Cheng Hong.
Afiliación
  • Xiao HL; Department of Emergency Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Xin L; Beijing Institute of Clinical Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Wang Y; Department of Emergency Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Cui LJ; Department of Infectious Disease and Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Liu XY; Department of Internal Medicine, Beijing Obstetrics and Gynaecology Hospital, Capital Medical University, Beijing 100026, China.
  • Liu S; Respiratory Department, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Song LH; Department of Emergency Medicine, Beijing Guang Wai Hospital, Beijing 100080, China.
  • Liu CL; Department of Infectious Disease, Air Force General Hospital, PLA, Beijing 100142, China.
  • Yin CH; Department of Internal Medicine, Beijing Obstetrics and Gynaecology Hospital, Capital Medical University, Beijing 100026, China.
Biomed Environ Sci ; 30(7): 540-544, 2017 Jul.
Article en En | MEDLINE | ID: mdl-28756815
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía por Mycoplasma / Infecciones Comunitarias Adquiridas / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Middle aged Idioma: En Revista: Biomed Environ Sci Asunto de la revista: SAUDE AMBIENTAL Año: 2017 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neumonía por Mycoplasma / Infecciones Comunitarias Adquiridas / Modelos Biológicos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Humans / Middle aged Idioma: En Revista: Biomed Environ Sci Asunto de la revista: SAUDE AMBIENTAL Año: 2017 Tipo del documento: Article País de afiliación: China Pais de publicación: China