Ann Clin Microbiol 2025;28(4):20. Factors influencing microbial diagnostic testing for infectious diseases in Korea: a nationwide retrospective cohort study

Table 1. Factors affecting requesting tuberculosis-related tests: multivariate analysis
CharacteristicsVariatesTotal (n)Incidence rate (%)AFB smearMycobacterium cultureMolecular diagnostic test
OR95% CIP-valueOR95% CIP-valueOR95% CIP-value
SexMale260,8241.01111
Female421,3741.640.5350.518 – 0.553<0.00010.5330.516 – 0.550<0.00010.5220.505 – 0.540<0.0001
Age (yr)≤ 1942,3440.52111
20-2941,0660.622.7332.322 – 3.2170.15622.6372.245 – 3.0980.27532.7462.317 – 3.2540.2527
30-3953,4930.772.5262.157 – 2.957<0.00012.4482.095 – 2.8600.00052.7152.305 – 3.1970.0930
40-4969,2340.852.7722.379 – 3.2300.14292.6472.276 – 3.0780.16792.8622.441 – 3.3560.8762
50-59110,8091.293.0072.591 – 3.4910.06922.8442.455 – 3.2940.13853.0082.576 – 3.5140.0527
60-69152,8642.113.0922.667 – 3.5850.00072.8992.505 – 3.3540.00992.9252.507 – 3.4140.4200
70-79134,5273.733.6983.187 – 4.291<0.00013.4112.946 – 3.949<0.00013.4842.984 – 4.069<0.0001
≥ 8077,8613.797.3386.324 – 8.515<0.00016.8195.888 – 7.897<0.00017.1396.113 – 8.336<0.0001
Insurance quintile

Medical benefits

51,7843.40111
1st140,8101.390.9580.901 – 1.0180.04680.9780.918 – 1.0400.02680.9820.920 – 1.0480.0201
2nd120,6291.150.9890.928 – 1.0530.00021.0090.946 – 1.075<0.00010.9950.931 – 1.0640.0034
3rd148,0331.170.9250.870 – 0.9830.84060.9430.886 – 1.0040.99620.9600.900 – 1.0240.3086
4th220,9421.310.7840.740 – 0.831<0.00010.8020.755 – 0.851<0.00010.7990.751 – 0.850<0.0001
Residential areaRegion 3240,6111.49111
Region 2156,3281.210.8480.814 – 0.8840.00550.8420.808 – 0.8790.00010.8880.851 – 0.9280.4749
Region 1285,2591.200.8000.772 – 0.829<0.00010.8240.795 – 0.854<0.00010.8120.782 – 0.843<0.0001
DisabilityNo  111
Yes  0.8990.862 – 0.937<0.00010.9040.866 – 0.944<0.00010.9040.865 – 0.945<0.0001
Disease severity (CCI)0  111
1  1.2051.137 – 1.2780.93171.1881.120 – 1.2600.72441.1641.095 – 1.2380.1777
2  1.2891.212 – 1.372<0.00011.2781.200 – 1.3600.00011.2781.198 – 1.3640.0001
≥ 3  1.3501.274 – 1.432<0.00011.3441.267 – 1.425<0.00011.3581.278 – 1.443<0.0001
Types of medical institutionsSenior general hospitals  111
General hospitals  0.7790.753 – 0.806<0.00010.7780.752 – 0.806<0.00010.8480.819 – 0.879<0.0001
Hospitals  0.3850.362 – 0.411<0.00010.3520.329 – 0.376<0.00010.2690.249 – 0.2900.0893
Clinics  0.0140.012 – 0.015<0.00010.0130.012 – 0.014<0.00010.0130.012 – 0.014<0.0001
Nursing hospital  1.5431.396 – 1.705<0.00011.2961.167 – 1.440<0.00011.1531.030 – 1.291<0.0001
Othersa)  0.0840.054 – 0.129<0.00010.0690.043 – 0.112<0.00010.0630.037 – 0.107<0.0001
Chemotherapy in solid cancerNo  111
Yes  1.0751.016 – 1.1360.01141.0801.021 – 1.1430.00691.0270.967 – 1.0890.3854
Hematologic malignancyNo  111
Yes  1.1251.016 – 1.2440.02331.1491.038 – 1.2710.00731.1411.026 – 1.2680.015
Organ transplantationNo  111
Yes  1.2691.082 – 1.4900.00351.3241.131 – 1.5510.00051.1490.967 – 1.3670.1151
HIV infectionNo  111
Yes  0.7560.606 – 0.9430.01330.7910.637 – 0.9840.03490.7170.569 – 0.9030.0047
DiabetesNo  111
Yes  0.3510.338 – 0.364<0.00010.3500.337 – 0.363<0.00010.3380.326 – 0.352<0.0001
Alcoholic dependenceNo  111
Yes  1.7351.542 – 1.952<0.00011.7381.543 – 1.957<0.00011.6711.475 – 1.892<0.0001
MalnutritionNo  111
Yes  1.8831.764 – 2.010<0.00011.8451.726 – 1.972<0.00011.7071.590 – 1.832<0.0001
Steroid treatmentNo  111
Yes  1.0010.969 – 1.0330.96360.9960.964 – 1.0290.80341.0140.980 – 1.0480.4228

Bold form: statistically significant.
a)Others included dental hospitals, healthcare centers, child health centers, and oriental medicine clinics.
Abbreviations: AFB, acid-fast bacilli; OR, odds ratio; CI, confidence interval; CCI, Charlson Comorbidity Index; HIV, human immunodeficiency virus.