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Table 3 Changes in haemoglobin level, white blood cell and CD4 count during treatment among pulmonary tuberculosis patients with (n = 197) or without (n = 1008) diabetes

From: The role of diabetes co-morbidity for tuberculosis treatment outcomes: a prospective cohort study from Mwanza, Tanzania

 

Patients without diabetes

Patients with diabetes

 
 

(n = 2008)

(n = 197)

 
 

Mean (95% CI)

Mean (95% CI)

P

Haemoglobin, g pr. dL

   

 Baseline

10.8 (10.6; 10.9)

10.7 (10.4; 11.0)

 

 2 months

12.3 (12.2; 12.5)

11.7 (11.4; 12.0)

 

  Increase

1.6 (1.4; 1.7)

1.0 (0.7; 1.3)

 

  Difference

0.6 (0.3; 0.9)

 

< 0.001

 5 months

13.0 (12.8; 13.1)

12.4 (12.1; 12.7)

 

  Increase

2.2 (2.1; 2.3)

1.7 (1.4; 2.0)

 

  Difference

0.5 (0.2; 0.9)

 

0.004

White blood cell count (total), 109 cells pr. L

   

 Baseline

6.4 (6.3; 6.6)

6.8 (6.5; 7.1)

 

 2 months

4.7 (4.6; 4.8)

5.0 (4.7; 5.3)

 

  Increase

−1.7 (−1.9; -1.6)

−1.7 (−2.1; -1.4)

 

  Difference

0.02 (−0.3; 0.4)

 

0.918

 5 months

4.3 (4.1; 4.4)

4.6 (4.3; 4.9)

 

  Increase

−2.2 (−2.3; -2.0)

−2.2 (−2.5; -1.8)

 

  Difference

−0.03 (−0.4; 0.3)

 

0.889

Neutrophil granulocytes, 109 cells pr. L

   

 Baseline

4.1 (4.0; 4.2)

4.6 (4.4; 4.8)

 

 2 months

2.3 (2.2; 2.4)

2.6 (2.4; 2.8)

 

  Increase

−1.8 (−2.0; -1.7)

−2.0 (−2.2; -1.7)

 

  Difference

0.1 (−0.2; 0.4)

 

0.493

 5 months

1.8 (1.7; 2.0)

2.2 (2.0; 2.5)

 

  Increase

−2.3 (−2.4; -2.1)

−2.3 (−2.6; -2.1)

 

  Difference

0.1 (−0.2; 0.4)

 

0.658

CD4 count, cells pr. μL

   

 Baseline

425.9 (408.9; 442.8)

409.2 (370.6; 447.8)

 

 2 months

477.5 (459.9; 495.2)

435.1 (393.7; 476.5)

 

  Increase

51.7 (29.7; 73.6)

25.9 (−25.0; 76.8)

 

  Difference

25.7 (−29.7; 81.2)

 

0.362

 5 months

436.2 (417.7; 454.6)

396.6 (353.7; 439.6)

 

  Increase

10.3 (−12.3; 32.9)

−12.5 (−64.6; 39.6)

 

  Difference

22.8 (−33.9; 79.6)

 

0.431

  1. Data are mean (95% confidence interval) based on a linear mixed-effects model, adjusted for age, sex, HIV status, alpha-1 glycoprotein, smoking habits, alcohol intake, and nutritional intervention.