Journal of Clinical Medicine Research, ISSN 1918-3003 print, 1918-3011 online, Open Access
Article copyright, the authors; Journal compilation copyright, J Clin Med Res and Elmer Press Inc
Journal website https://jocmr.elmerjournals.com

Original Article

Volume 18, Number 9, September 2026, pages 612-622


Prediction Model for Detecting Active Pulmonary Tuberculosis in Patients With Head and Neck Cancer Prior to Concurrent Chemoradiotherapy

Figures

↓  Figure 1. Study flow diagram of eligible patients with head and neck cancer.
Figure 1.
↓  Figure 2. Receiver operating characteristic curve of the prediction model.
Figure 2.
↓  Figure 3. Calibration plot of the prediction model.
Figure 3.
↓  Figure 4. Decision curve analysis showing net benefit across threshold probabilities.
Figure 4.
↓  Figure 5. Relationship between the linear predictor and predicted probability of active PTB. PTB: pulmonary tuberculosis.
Figure 5.

Tables

↓  Table 1. Baseline Characteristics of Patients With and Without Active PTB
 
Baseline characteristicsActive PTB (n = 30), n (%)No active PTB (n = 475), n (%)P-valueAuROC
Albumin was missing in 80 patients. HPV testing was performed mainly in patients with oropharyngeal tumors. Percentages are calculated among those with available HPV results (n = 148). AuROC: area under the receiver operating characteristic curve; BMI: body mass index; HPV: human papillomavirus; IQR: interquartile range; NLR: neutrophil-to-lymphocyte ratio; PTB: pulmonary tuberculosis; SD: standard deviation.
Sex, male, n (%)9 (30.0)212 (44.6)0.1310.573
Age (years), (mean ± SD)59.8 ± 11.457.3 ± 11.40.2340.544
Comorbidities
  Diabetes mellitus5 (16.7)30 (6.3)0.0480.551
  Hypertension4 (13.3)78 (16.4)0.8020.515
  Dyslipidemia0 (0)40 (8.4)0.1560.500
Smoking history19 (63.3)260 (54.7)0.4500.543
Alcohol consumption19 (63.3)250 (52.6)0.2660.553
Tumor site
  Larynx8 (26.7)63 (13.3)0.0820.643
  Oropharynx7 (23.3)167 (35.2)
  Hypopharynx10 (33.3)98 (20.6)
  Oral cavity3 (10.0)83 (17.5)
  Nasopharynx2 (6.7)64 (13.5)
Histologic grade
  Well differentiated9 (30.0)205 (43.2)0.3260.575
  Moderately differentiated16 (53.3)192 (40.4)
  Poorly differentiated5 (16.7)78 (16.4)
Tumor stage (T-stage)
  T10 (0)38 (8.0)0.1650.580
  T25 (16.7)121 (25.5)
  T39 (30.0)140 (29.5)
  T416 (53.3)176 (37.1)
Nodal stage (N-stage)
  N05 (16.7)68 (14.3)0.0540.625
  N13 (10.0)121 (25.5)
  N215 (50.0)239 (50.3)
  N37 (23.3)47 (9.9)
Hemoglobin (g/dL), mean ± SD9.9 ± 1.411.9 ± 2.0< 0.0010.781
Albumin (g/dL), mean ± SD3.2 ± 0.53.8 ± 0.5< 0.0010.812
HPV status (positive)1/5 (20.0)16/143 (11.2)0.4620.544
NLR, median (IQR)3.9 (2.1, 7.0)3.3 (2.1, 5.3)0.3380.552
Maximum tumor diameter (cm), mean ± SD4.9 ± 1.74.6 ± 2.10.4830.557
Maximum lymph node diameter (cm), Median (IQR)2.0 (1.2, 5.0)1.8 (1.0, 3.0)0.1690.563
Unresectable disease28 (93.3)419 (88.2)0.5600.520
BMI (kg/m2), (mean ± SD)17.3 ± 3.220.3 ± 3.8< 0.0010.724
Cancer symptom duration (months), mean ± SD4.3 ± 2.42.3 ± 1.8< 0.0010.793

 

↓  Table 2. Univariable and Multivariable Logistic Regression Analyses for Active PTB
 
PredictorsUnivariable OR (95% CI)P-valueMultivariable OR (95% CI)P-valueAuROC
Multivariable odds ratios were estimated from a single model including body mass index, hemoglobin concentration, serum albumin concentration, and cancer symptom duration; each odds ratio is adjusted for the other three variables in the model. AuROC: area under the receiver operating characteristic curve; BMI: body mass index; CI: confidence interval; OR: odds ratio.
BMI (kg/m2)0.76 (0.67, 0.87)< 0.0010.86 (0.75, 0.99)0.0470.882
Hemoglobin (g/dL)0.60 (0.49, 0.74)< 0.0010.75 (0.58, 0.95)0.021
Albumin (g/dL)0.14 (0.07, 0.29)< 0.0010.25 (0.12, 0.53)< 0.001
Cancer symptom duration (months)1.41 (1.23, 1.63)< 0.0011.49 (1.25, 1.76)< 0.001

 

↓  Table 3. Apparent and Internal Validation Performance of the Prediction Model
 
ParametersApparent performance (95% CI)Bootstrap performance (95% CI)
AuROC: area under the receiver operating characteristic curve; CITL: calibration-in-the-large; E:O ratio: expected-to-observed outcomes ratio.
C-statistic (AuROC)0.882 (0.814, 0.950)0.872 (0.805, 0.954)
E:O ratio1.0001.034 (0.712, 1.372)
CITL0.000 (−0.421, 0.421)−0.024 (−0.512, 0.536)
Calibration slope1.000 (0.713, 1.287)0.917 (0.668, 1.287)
Bootstrap shrinkage factor0.941

 

↓  Table 4. Diagnostic Performance of the Prediction Model at the Prevalence-Based Threshold
 
Model probability of active PTBPredicted ClassificationActive PTB (n = 30), n (% of total)No active PTB (n = 475), n (% of total)Diagnostic metrics, % (95% CI)
CI: confidence interval; NPV: negative predictive value; PPV: positive predictive value; PTB: pulmonary tuberculosis.
≥ 5.94%Positive27 (5.3)84 (16.6)Sensitivity: 90.0% (73.5, 97.9)
PPV: 24.3% (16.4, 33.7)
< 5.94%Negative3 (0.6)391 (77.4)Specificity: 82.3% (78.6, 85.6)
NPV: 99.2% (97.8, 99.8)