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Epidemiology/Health Services/Psychosocial Research

Tuberculosis and Diabetes in Southern Mexico

  1. Alfredo Ponce-de-Leon, MD1,
  2. Ma. de Lourdes Garcia-Garcia, MD, DRSC2,
  3. Ma. Cecilia Garcia-Sancho, MD, MSC3,
  4. Francisco J. Gomez-Perez, MD1,
  5. Jose Luis Valdespino-Gomez, MD, MPH2,
  6. Gustavo Olaiz-Fernandez, MD2,
  7. Rosalba Rojas, MD2,
  8. Leticia Ferreyra-Reyes, MD2,
  9. Bulmaro Cano-Arellano, BA2,
  10. Miriam Bobadilla, DRSC1,
  11. Peter M. Small, MD4 and
  12. Jose Sifuentes-Osornio, MD1
  1. 1National Institute of Medical Sciences and Nutrition, Salvador Zubirán, Distrito Federal, Mexico
  2. 2National Institute of Public Health, Cuernavaca, Mexico
  3. 3National Institute of Respiratory Diseases, Distrito Federal, Mexico
  4. 4Stanford University, Stanford, California
  1. Address correspondence and reprint requests to Ma. de Lourdes García-García, Instituto Nacional de Salud Pública, Ave. Universidad No. 655, Cuernavaca, México, 62508. E-mail: garcigar{at}correo.insp.mx
Diabetes Care 2004 Jul; 27(7): 1584-1590. https://doi.org/10.2337/diacare.27.7.1584
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    Figure 1—

    Impact of undersampling and increase in interval between dates of successive matching fingerprints on the estimate of the ratio of incidence rates for the diabetic and nondiabetic populations for clustered cases (□), reactivated cases (•), and total cases (▵). A: Random deletion of 10, 20, 30, 40, and 50% showed that the undersampling would not be expected to bias the estimate of the ratio of rates of tuberculosis among diabetic and nondiabetic populations. B: Exclusion of clusters beginning in each of the years from 1995 to 2002 showed that the ratio of incidence rates for the diabetic and nondiabetic populations remained relatively stable, although the CI increased, particularly when the number of clusters decreased during the most recent years. C: Increase in the interval between dates of successive matching fingerprints had no impact on the estimate for the ratio of incidence rates for the diabetic and nondiabetic populations.

Tables

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  • Table 1—

    Sociodemographic, clinical, bacteriologic, and therapeutic characteristics of patients with pulmonary tuberculosis according to diagnosis of diabetes, Orizaba, Veracruz, 1995–2003

    Total populationDiabetic patientsNondiabetic patientsP*
    n581172409
    Sociodemographic
     Household visit to invite participation3223.535.6<0.0001
     Age (years)44 (19–86)53 (23–82)39 (19–86)<0.0001
     Men59.955.261.90.1
     Indigenous origin23.218.025.40.05
     Rural and industrial workers22.915.725.90.007
     Bacille Calmette-Guérin scar44.230.849.9<0.0001
     Previous hospitalization50.462.845.2<0.0001
     Residence in shelters3.80.05.40.002
     Social security34.951.727.9<0.0001
     Alcohol use47.740.750.60.02
     Household crowding36.328.139.00.01
     Household with earthen floor19.711.923.00.002
    Clinical
     HIV infection2.71.23.30.2
     BMI (<18 kg/m2)22.88.128.9<0.0001
     Hemoptysis32.934.532.30.6
     Fever75.977.975.10.5
     Cavities35.842.832.90.02
     Interval between initiation of symptoms  and treatment (days)104 (3–3,248)99 (4–1,569)109 (3–3,248)0.8
    Bacteriologic
     Resistance to isoniazid and rifampin5.78.14.70.1
     Other resistance14.514.014.70.8
    Treatment outcome
     Cure82.782.482.90.9
     Failure2.54.81.50.02
     Default9.99.110.20.7
     Retreatment7.09.36.10.2
     All-cause mortality16.419.814.90.1
     Death from tuberculosis7.95.88.80.2
     Death from other causes8.414.02.40.001
    • Data are % or median (range).

    • *

      ↵* For comparison between diabetic and nondiabetic patients; χ2 and Wilcoxon’s tests were used.

  • Table 2—

    Incidence rates (per 100,000 person-years) among diabetic and nondiabetic populations (clustering within 1 year of diagnosis)

    Age-group (years)TB patients with diabetes (n)Incidence rate of TB among diabetic populationTB patients without diabetes (n)Incidence rate of TB among nondiabetic populationRatio of rates (95% CI)PPopulation attributable risk (%)
    Clustered cases
     20–4418127.3626.918.6 (10.3–31.8)<0.000121
     45–641539.3258.04.9 (2.4–9.6)<0.000129
     65–89930.21210.13.0 (1.1–7.8)0.0128
     Total4251.2997.46.9 (4.7–9.9)<0.000125
    Reactivated cases
     20–4425176.819221.28.3 (5.3–12.7)<0.000110
     45–6478204.17524.18.5 (6.0–11.8)<0.000144
     65–892790.74336.12.5 (1.5–4.2)0.000423
     Total130158.331023.26.8 (5.5–8.4)<0.000125
    Total cases
     20–4443304.225428.110.8 (7.6–14.9)<0.000113
     45–6493243.410032.27.6 (5.6–10.1)<0.000141
     65–8936121.05546.22.6 (1.7–4.0)<0.000124
     Total172209.540930.76.8 (5.7–8.2)<0.000125
    • TB, tuberculosis.

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Tuberculosis and Diabetes in Southern Mexico
Alfredo Ponce-de-Leon, Ma. de Lourdes Garcia-Garcia, Ma. Cecilia Garcia-Sancho, Francisco J. Gomez-Perez, Jose Luis Valdespino-Gomez, Gustavo Olaiz-Fernandez, Rosalba Rojas, Leticia Ferreyra-Reyes, Bulmaro Cano-Arellano, Miriam Bobadilla, Peter M. Small, Jose Sifuentes-Osornio
Diabetes Care Jul 2004, 27 (7) 1584-1590; DOI: 10.2337/diacare.27.7.1584

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Tuberculosis and Diabetes in Southern Mexico
Alfredo Ponce-de-Leon, Ma. de Lourdes Garcia-Garcia, Ma. Cecilia Garcia-Sancho, Francisco J. Gomez-Perez, Jose Luis Valdespino-Gomez, Gustavo Olaiz-Fernandez, Rosalba Rojas, Leticia Ferreyra-Reyes, Bulmaro Cano-Arellano, Miriam Bobadilla, Peter M. Small, Jose Sifuentes-Osornio
Diabetes Care Jul 2004, 27 (7) 1584-1590; DOI: 10.2337/diacare.27.7.1584
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