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. pneumon...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 〉 0.0S 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 2 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.展开更多
AIM To evaluate the increase in diagnostic yield, by using IgA in addition to IgM, instead of IgM alone, in relation to the age of the patients.METHODS The study considered 1067 blood samples from patients with clinic...AIM To evaluate the increase in diagnostic yield, by using IgA in addition to IgM, instead of IgM alone, in relation to the age of the patients.METHODS The study considered 1067 blood samples from patients with clinical signs of lower respiratory tract infections, tested for anti-Mycoplasma IgG, IgM and IgA antibody.RESULTS The increase in diagnostic yield with IgA, compared to IgM detection alone was of 3.5% with statistically significant differences between age groups(0.8% for those equal/under 50 years of age and 4.3% for those over 50).CONCLUSION Our findings demonstrate that IgA detection lead to a twofold increase in the number of diagnoses among the older age groups, but it did not result in relevant increase among the younger age groups.展开更多
基金supported by the Capital Medical Development and Scientific Research Fund(2009-1033)and the Science and Technology Plan of Beijing City(Z101107050210018)
文摘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 〉 0.0S 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 2 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.
文摘AIM To evaluate the increase in diagnostic yield, by using IgA in addition to IgM, instead of IgM alone, in relation to the age of the patients.METHODS The study considered 1067 blood samples from patients with clinical signs of lower respiratory tract infections, tested for anti-Mycoplasma IgG, IgM and IgA antibody.RESULTS The increase in diagnostic yield with IgA, compared to IgM detection alone was of 3.5% with statistically significant differences between age groups(0.8% for those equal/under 50 years of age and 4.3% for those over 50).CONCLUSION Our findings demonstrate that IgA detection lead to a twofold increase in the number of diagnoses among the older age groups, but it did not result in relevant increase among the younger age groups.
