{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T13:35:47Z","timestamp":1780580147325,"version":"3.54.1"},"reference-count":0,"publisher":"Journal of Infection in Developing Countries","issue":"05","license":[{"start":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T00:00:00Z","timestamp":1717027200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Infect Dev Ctries"],"abstract":"<jats:p>Introduction: The absence of predictive models for early latent tuberculosis infection (LTBI) progression persists. This study aimed to create a screening model to identify high-risk LTBI patients prome to active tuberculosis (ATB) reactivation.\nMethodology: Patients with confirmed ATB were enrolled alongside LTBI individuals as a reference, with relevant clinical data gathered. LASSO regression cross-validation reduced data dimensionality. A nomogram was developed using multiple logistic regression, internally validated with Bootstrap resampling. Evaluation included C-index, receiver operating characteristic (ROC) curve, and calibration curves, with clinical utility assessed through decision curve analysis.\nResults: The final nomogram incorporated serum albumin (OR = 1.337, p = 0.046), CD4+ (OR = 1.010, p = 0.004), and CD64 index (OR = 0.009, p = 0.020). The model achieved a C-index of 0.964, an area under the ROC curve of 0.962 (95% CI: 0.926\u20130.997), sensitivity of 0.971, and specificity of 0.910. Internal validation showed a mean absolute error of 0.013 and 86.4% identification accuracy. The decision curve indicated substantial net benefit at a risk threshold exceeding 10% (1: 9).\nConclusions: This study established a biologically-rooted nomogram for high-risk LTBI patients prone to ATB reactivation, offering strong predictability, concordance, and clinical value. It serves as a personalized risk assessment tool, accurately identifying patients necessitating priority prophylactic treatment, complementing existing host risk factors effectively.<\/jats:p>","DOI":"10.3855\/jidc.18456","type":"journal-article","created":{"date-parts":[[2024,6,11]],"date-time":"2024-06-11T18:00:49Z","timestamp":1718128849000},"page":"732-741","source":"Crossref","is-referenced-by-count":3,"title":["Predictive nomogram of high-risk patients with active tuberculosis in latent tuberculosis infection"],"prefix":"10.3855","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5684-3918","authenticated-orcid":false,"given":"Kui","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siyi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingli","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renyu","family":"Ran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2222","published-online":{"date-parts":[[2024,5,30]]},"container-title":["The Journal of Infection in Developing Countries"],"original-title":[],"link":[{"URL":"https:\/\/www.jidc.org\/index.php\/journal\/article\/download\/18456\/3348","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.jidc.org\/index.php\/journal\/article\/download\/18456\/3348","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,11]],"date-time":"2024-06-11T18:00:49Z","timestamp":1718128849000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jidc.org\/index.php\/journal\/article\/view\/18456"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,30]]},"references-count":0,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2024,5,30]]}},"URL":"https:\/\/doi.org\/10.3855\/jidc.18456","relation":{},"ISSN":["1972-2680"],"issn-type":[{"value":"1972-2680","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,30]]}}}