Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

A Multidisciplinary-Validated Radiographic Severity Score for Immune Stratification in HIV-Associated Tuberculosis: Development and Internal Validation

Domain:

healthcare

Record type:

paper
Creator:
UchOrdObaMuo
Publisher:
AD
Host:
Background: Human immunodeficiency virus (HIV)-associated tuberculosis (TB) remains the leading cause of death among people living with HIV in sub-Saharan Africa. Where CD4 testing is unavailable, a chest X-ray must substitute for flow cytometry. We developed and internally validated a Radiographic Severity Score (RSS) to identify HIV-positive patients with advanced immunosuppression using plain-film radiography. Methods: Cross-sectional diagnostic accuracy study of 242 HIV-positive adults with newly diagnosed pulmonary TB at two sites in southern Nigeria (2017-2018). Two radiologists independently scored films using the RSS (12 zones, weighted for severity). Discriminative accuracy, calibration, and inter-reader reliability were assessed. Results: Of 242 enrolled, 228 had complete data. Mean RSS was 2.2±1.5 (CD4 <100 cells/µL), 3.4±1.7 (CD4 100-199 cells/µL), 4.8±1.9 (CD4 200-349 cells/µL), and 6.1±1.8 (CD4≥350 cells/µL). The stepwise gradient was significant (Spearman rho =+0.72, p <0.001). At threshold RSS ≤4: AUC=0.84 (95% CI 0.76-0.92), sensitivity 68.3%, specificity 80.0%, PPV 79.5%, NPV 69.4%. Inter-reader agreement was almost perfect (Cohen kappa =0.81, ICC=0.92). Conclusion: The RSS is a simple bedside tool for identifying HIV-positive patients with CD4 <200 cells/µL in settings without same-day CD4 testing. In this Nigerian cohort, the RSS demonstrated strong discriminative accuracy (AUC 0.84) and almost perfect inter-reader reliability (kappa 0.81). However, external validation in independent cohorts is required before the RSS can be recommended for widespread implementation in TB-HIV integrated programmes.

Visit

doi.org

Similar

Development and validation of a prognostic score during tuberculosis treatmentCD4-associated Radiographic Pattern Heterogeneity in Tuberculosis-HIV Coinfection From NigeriaDevelopment and Internal Validation of a Novel Risk Prediction Score for Endometrial Malignancy in Premenopausal Women with Abnormal Uterine BleedingDerivation and external validation of a risk score for predicting HIV-associated tuberculosis to support case finding and preventive therapy scale-up: A cohort studyDevelopment and Internal Validation of Preeclampsia Risk Prediction and Stratification Models: Conventional Regression and Machine Learning Approaches in ZambiaDevelopment and an initial validation of the Responses to Illness Severity Quantification (RISQ) score for severely malnourished children

Development and validation of a prognostic score during tuberculosis treatment

Abstract Background Death under care is a major challenge for tuberculosis (TB) treatment programs.

CD4-associated Radiographic Pattern Heterogeneity in Tuberculosis-HIV Coinfection From Nigeria

Background: Pulmonary tuberculosis in the context of HIV infection produces diverse radiographic app

Development and Internal Validation of a Novel Risk Prediction Score for Endometrial Malignancy in Premenopausal Women with Abnormal Uterine Bleeding

Background Endometrial malignancy in premenopausal women with abnormal uterine bleeding (AUB) is rar

Derivation and external validation of a risk score for predicting HIV-associated tuberculosis to support case finding and preventive therapy scale-up: A cohort study

Background Among people living with HIV (PLHIV), more flexible and sensitive tuberculosis (TB) scr

Development and Internal Validation of Preeclampsia Risk Prediction and Stratification Models: Conventional Regression and Machine Learning Approaches in Zambia

Objectives: To examine associations between maternal factors and preeclampsia, an

Development and an initial validation of the Responses to Illness Severity Quantification (RISQ) score for severely malnourished children

Abstract Aim To develop and perform an initial validation of a score to measure the severity of i