Research Article

α-Glucosidase Inhibitor Can Effectively Inhibit the Risk of Tuberculosis in Patients with Diabetes: A Nested Case-Control Study

Table 3

Adjusted incidence rate ratio of diabetes in patients with and without tuberculosis.

No. of TB infection eventsObserved person-monthsIncidence density (95% CI) per 1000 person-monthsIRR (95% CI)

Sulfonylureas
 None used5581535783.63 (3.33-3.94)Reference
 Low concentration7161832743.91 (3.61-4.20)1.154 (0.995-1.338)
 High concentration2821178582.39 (2.11-2.68)0.858 (0.698-1.055)
Biguanides
 None used5401435963.76 (3.44-4.08)Reference
 Low concentration7561964413.85 (3.57-4.13)1.032 (0.887-1.200)
 High concentration2601146732.27 (1.99-2.55)0.904 (0.732-1.117)
Meglitinide
 None used12703704063.43 (3.24-3.62)Reference
 Low concentration179475733.76 (3.20-4.33)0.960 (0.809-1.138)
 High concentration107367312.91 (2.35-3.48)0.823 (0.666-1.016)
α-Glucosidase inhibitor
 None used12293318593.70 (3.49-3.91)Reference
 Low concentration213736282.89 (2.50-3.29)0.810 (0.693-0.948)
 High concentration114492232.32 (1.88-2.75)0.805 (0.651-0.995)
Thiazolidinediones
 None used12063315163.64 (3.43-3.85)Reference
 Low concentration217654403.32 (2.87-3.77)0.927 (0.789-1.087)
 High concentration133577542.30 (1.90-2.70)0.874 (0.707-1.079)
Urbanization level
 Highly urbanization3761291372.91 (2.61-3.21)1.039 (0.901-1.198)
 Moderate urbanization4081357523.01 (2.71-3.30)Reference
 Emerging town260689553.77 (3.30-4.24)1.105 (0.943-1.294)
 General town241656743.67 (3.20-4.14)1.03 (0.872-1.216)
 Aged township68128015.31 (4.02-6.60)1.215 (0.927-1.593)
 Agricultural town113238494.74 (3.85-5.63)1.206 (0.968-1.502)
 Remote township90185424.85 (3.83-5.88)1.04 (0.823-1.316)
Length of hospital stay
 013864238123.27 (3.09-3.45)Reference
 1-30132262045.04 (4.16-5.91)1.164 (0.967-1.403)
 31-601929276.49 (3.51-9.47)1.959 (1.236-3.104)
 ≥6119176710.75 (5.82-15.69)1.636 (1.026-2.606)
Low income
 No610345383.53 (3.25-3.82)Reference
 Yes9582820113.40 (3.18-3.62)0.997 (0.891-1.116)
Comorbidity (reference: without)
 Syphilis42202920.70 (14.31-27.09)4.599 (2.510-8.427)
 Gonococcal infections754912.75 (3.11-22.39)0.184 (0.073-0.466)
 Venereal diseases26118122.02 (13.38-30.65)0.428 (0.212-0.866)
 Bacterial, viral, and fungal pneumonias9455533917.08 (15.97-18.19)2.909 (2.531-3.344)
 Empyema25107223.32 (13.99-32.65)1.124 (0.748-1.690)
 Emphysema58329517.60 (12.98-22.23)0.707 (0.537-0.931)
 COPD9495328317.81 (16.65-18.97)3.208 (2.777-3.706)
 Chronic kidney disease3822387816.00 (14.36-17.64)1.375 (1.210-1.562)
 Chronic hepatitis6333609617.54 (16.14-18.93)1.907 (1.696-2.144)
 Intestinal malabsorption759311.80 (2.88-20.73)1.183 (0.544-2.575)
 Ulcerative colitis1051019.61 (7.210-32.01)1.204 (0.627-2.309)
 Regional enteritis95536117.72 (14.08-21.36)1.282 (1.034-1.590)
 Gastrectomy521223.58 (2.49-44.68)2.986 (1.209-7.373)
 Malignant disease5923561116.62 (15.26-17.99)1.646 (1.463-1.852)
 Rheumatoid arthritis137807916.96 (14.06-19.86)1.475 (1.224-1.777)
 Immune mechanism22154314.26 (8.18-20.34)1.026 (0.660-1.595)
 Psoriasis61354217.22 (12.81-21.63)1.317 (1.014-1.709)
Comorbidity (reference: without)
 Syphilis42202920.704.599 (2.510-8.427)
 Gonococcal infections754912.750.184 (0.073-0.466)
 Venereal diseases26118122.020.428 (0.212-0.866)
 Bacterial, viral, and fungal pneumonias9455533917.082.909 (2.531-3.344)
 Empyema25107223.321.124 (0.748-1.690)
 Emphysema58329517.600.707 (0.537-0.931)
 COPD9495328317.813.208 (2.777-3.706)
 Chronic kidney disease3822387816.001.375 (1.210-1.562)
 Chronic hepatitis6333609617.541.907 (1.696-2.144)
 Intestinal malabsorption759311.801.183 (0.544-2.575)
 Ulcerative colitis1051019.611.204 (0.627-2.309)
 Regional enteritis95536117.721.282 (1.034-1.590)
 Gastrectomy521223.582.986 (1.209-7.373)
 Malignant disease5923561116.621.646 (1.463-1.852)
 Rheumatoid arthritis137807916.961.475 (1.224-1.777)
 Immune mechanism22154314.261.026 (0.660-1.595)
 Psoriasis61354217.221.317 (1.014-1.709)

Abbreviation: IRR: incidence rate ratio. Multiple Poisson regression model: adjusted for sex, age, urbanization level, length of hospital stay, low income, and comorbidity. Poisson regression model: adjusted for sex, age, urbanization level, length of hospital stay, low income, and comorbidity.