ABSTRACT
Objective To investigate the relationship between Helicobacter prlori (Hp) infection and type 2 diabetes related complications.Methods Eighty-five patients with type 2 diabetes had been tested and divided into Hp negative group (42 cases) and Hp positive group (43 cases),the triglyceride (TG),low density lipoprotein cholesterol (LDL-C),fasting plasma glucose (FPG),glycosylated hemoglobin (HbA1c),tumor necrosis factor-α (TNF-α) and complications occurred were compared between two groups.Results The TG,LDL-C,FPG,HbA1c and TNF-α in Hp positive group was significantly higher than that in Hp negative group [(4.83 ± 0.95) mmol/L vs.(3.03 ± 0.75) mmol/L,(4.99 ± 0.96) mmol/L vs.(3.91 ±0.87)mmol/L,(10.85 ±2.97) mmol/L vs.(8.11 ±2.69) mmol/L,(9.35 ± 1.96)％ vs.(7.08 ± 1.53)％,(7.33 ± 0.78) ng/L vs.(3.65 ± 0.98) ng/L] (P＜ 0.01).The cardiovascular disease,cerebrovascular disease,kidney disease,retinal changes and podiatric complication rate in Hp positive group was 51.16％ (22/43),37.21％(16/43),27.91％(12/43),34.88％(15/43),23.26％(10/43),significantly higher than that in Hp negative group [28.57％ (12/42),16.67％ (7/42),9.52％ (4/42),14.29％ (6/42),7.14％ (3/42)],there was significant difference between two groups (P ＜ 0.05).Conclusion Type 2 diabetes Hp infection can make the higher TG,LDL-C,FPG,HbA1c,TNF-α and can increase the risk of diabetes complications.
ABSTRACT
Grey system analysis method was used to study the correlation between water pollution in D Lake area and death rate of malignancy with death rate of malignancy as effect sequence and a variety of water pollution index as factor sequence. On the basis of grey correlation analysis, grey system predication model was established for death rate of malignancy in population in D Lake area including GM(1, N) model for death rate of malignancy [MR(t+1) = (9.9987E1 + 5.0001E2 + 10.8994E3 + 1.1114E4 + 165.1029) x e(-0.0070t) - 9.9987E1 - 5.0001E2 - 10.8994E3 - 1.1114E4] and GM(1, 1) model for related factors [E1(t+1) = 52.1214 - 46.9468e(-0.0058t), E2(t+1) = 4.6114 - 4.5664e(0.0015t), E3(t+1) = 1.1389 - 1.1212e(0.0065t), E4(t+1) = 554.5867 - 549.8006e(0.0016t)], and the trend of death rate of malignancy from 2000 to 2010 was predicted.
Subject(s)
Humans , China , Epidemiology , Models, Theoretical , Neoplasms , Mortality , Water PollutionABSTRACT
Grey system analysis method was used to study the correlation between water pollution in D Lake area and death rate of malignancy with death rate of malignancy as effect sequence and a variety of water pollution index as factor sequence. On the basis of grey correlation analysis, grey system predication model was established for death rate of malignancy in population in D Lake area including GM(1, N) model for death rate of malignancy [MR(t+1) = (9.9987E1 + 5.0001E2 + 10.8994E3 + 1.1114E4 + 165.1029) x e(-0.0070t) - 9.9987E1 - 5.0001E2 - 10.8994E3 - 1.1114E4] and GM(1, 1) model for related factors [E1(t+1) = 52.1214 - 46.9468e(-0.0058t), E2(t+1) = 4.6114 - 4.5664e(0.0015t), E3(t+1) = 1.1389 - 1.1212e(0.0065t), E4(t+1) = 554.5867 - 549.8006e(0.0016t)], and the trend of death rate of malignancy from 2000 to 2010 was predicted.