Helicobacter Pylori
Copyright ©The Author(s) 2005.
World J Gastroenterol. Aug 14, 2005; 11(30): 4715-4720
Published online Aug 14, 2005. doi: 10.3748/wjg.v11.i30.4715
Table 1 Baseline characteristics of all patients
1HC(n = 42, %)2DU(n = 52, %)3GU(n = 14, %)4GC(n = 44, %)
Age (mean±SD) (yr)48.2 ± 13.351.2 ± 14.371.6 ± 10.7a68.8 ± 13.7a
Sex: male19 (45)34 (65)10 (71)37 (84)a
Blood type
A15 (36)13 (25)6 (42)12 (27)
B11 (26)16 (31)2 (14)11 (25)
O13 (31)21 (40)5 (36)17 (39)
AB3 (7)2 (4)1 (7)4 (9)
Smoking12 (29)19 (37)10(71)a15 (34)
Daily alcohol use4 (10)5 (10)4 (29)6 (14)
Daily coffee use6 (14)3 (6)1 (7)2 (5)
Daily tea use11 (26)17 (33)5 (36)8 (18)
Table 2 Prevalence rate of H pylori infection and anti-parietal cell antibodies among various groups of patients
1HC2DU3GU4GC
(n = 42, %)(n = 52, %)(n = 14, %)(n = 44, %)
H pylori infection10 (24)39 (75)a8 (57)a23 (53)a
5PCA15 (36)23 (44)11 (79)a31 (70)a
Table 3 Host and bacterial factors related to the presence of anti-parietal cell antibodies (APCA) in serum
Anti-parietal cell antibodies
P
Positive(n = 80, %)Negative(n = 72, %)Absolute difference(95%CI)
Age≥60 (yr)48 (60)a17 (24)0.36 (0.22-0.51)0
Sex (male)58 (73)42 (58)0.14 (-0.01-0.29)0.07
Blood type
A23 (29)23 (32)-0.03 (-0.18-0.12)0.67
B21 (26)19 (26)-0.00 (-0.14-0.14)0.99
O32 (40)26 (36)0.04 (-0.12-0.20)0.63
AB4 (5)4 (6)-0.01 (-0.08-0.07)0.88
Smoking34 (43)22 (31)0.12 (-0.03-0.27)0.13
Daily alcohol use13 (16)6 (8)0.08 (-0.03-0.19)0.14
Daily coffee use3 (4)9 (13)-0.09 (-0.17-0.00)0.05
Daily tea use24 (30)17 (24)0.06 (-0.08-0.21)0.38
Table 4 Host and bacterial factors related to the presence of anti-H pylori antibodies (AHPA) in serum
Anti-H pylori antibodies
P
Positive(n = 82, %)Negative(n = 70, %)Absolute difference(95%CI)
Age≥60 (yr)30 (37)35 (50)-0.13 (-0.29-0.02)0.1
Sex (male)59 (72)41 (58)0.13 (-0.02-0.29)0.08
Blood type
A25 (30)21 (30)0.00 (-0.14-0.15)0.95
B22 (27)18 (26)0.01 (-0.13-0.15)0.88
O31 (38)27 (39)-0.01 (-0.16-0.15)0.92
AB4 (5)4 (6)-0.01 (-0.08-0.06)0.82
Smoking31 (38)25 (36)0.02 (-0.14-0.18)0.79
Daily alcohol use13 (16)6 (9)0.07 (-0.03-0.18)0.18
Daily coffee use9 (11)3 (4)0.07 (-0.02-0.15)0.13
Daily tea use24 (2917 (24)0.05 (-0.09-0.19)0.49
Table 5 Multivariant logistic regression analysis of factors influenc-ing severe atrophy in antrum
VariablesExp(B)SEWaldSig
Age (yr)1.00030.01650.00040.98
Sex0.87240.56390.05860.81
Blood_A0.69160.54680.45470.50
Blood_B0.56880.51291.21060.27
Blood_O0.64180.50420.77360.38
Blood_AB1.11870.37050.09170.76
Smoking1.07900.51270.0220.88
Alcohol2.08500.62791.36940.24
Coffee1.35200.82780.13280.72
Tea0.99520.4880.00010.99
1AHPA2.81040.47684.69650.03
2APCA1.50040.48630.69610.40
Table 6 Multivariant logistic regression analysis of factors influenc-ing severe atrophy in corpus
VariablesExp(B)SEWaldSig
Age (yr)1.02720.03010.79070.37
Sex3.11201.26110.81040.37
Blood_A0.55560.89030.43580.51
Blood_B0.54900.77260.60230.44
Blood_O0.36590.88541.2890.26
Blood_AB0.66590.34781.36750.24
Smoking1.05280.84300.00370.95
Alcohol3.34230.88841.84460.17
Coffee0.00031.45242.32340.13
Tea3.82500.80912.74940.10
1AHPA1.82500.84180.51060.47
2APCA25.10001.30966.05650.01