[The prevalence and characteristics of anemia in Crohn's disease in the Chinese].
OBJECTIVE
To investigate the prevalence and characteristics of anemia among patients with Crohn's disease (CD) in Chinese population and identify the possible risk factors.


METHODS
A cross-sectional study was performed in 441 patients with CD enrolled from the First Affiliated Hospital of Sun Yat-Sen University between January 2003 and May 2012. The prevalence, severity, type of anemia in these patients was assessed when diagnosis was confirmed. A multivariate logistic regression including 122 patients was performed to screen risk factors of anemia.


RESULTS
The prevalence of anemia was 64.4% (284/441) with 69.0% (196/284) mild anemia, 28.9% (82/284) moderate anemia and 2.1% (6/284) severe anemia. The most common morphological classification was hypochromic microcytic anemia (43.7%, 124/284). Multivariate logistic regression showed the predictive factors for anemia were higher levels of modified Crohn's disease activity index (CDAI) (OR = 1.007, 95% CI 1.002-1.013), platelet count (OR = 1.007, 95% CI 1.001-1.012), erythrocyte sedimentation rate (OR = 1.024, 95% CI 1.000-1.048), penetrating behavior (OR = 16.952, 95% CI 2.626-108.626), structuring behavior (OR = 6.717, 95% CI 1.583-28.507), older age at diagnosis (OR = 1.065, 95% CI 1.012-1.121),and lower body mass index (BMI) (OR = 0.769, 95% CI 0.633-0.935).


CONCLUSIONS
Anemia is a common complication in patients with CD among Chinese population. Activity of the underlying disease, older age at diagnosis, penetrating or structuring disease behavior and low BMI are the risk factors.
Department of Gastroenterology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Rui-han
RH
Tang
Kang
K
Chao
Sheng-hong
SH
Zhang
Bai-li
BL
Chen
Yao
Y
He
Xiang
X
Gao
Zhi-rong
ZR
Zeng
Pin-jin
PJ
Hu
Min-hu
MH
Chen
D000293:Adolescent; D000328:Adult; D000740:Anemia / Q000453:epidemiology*; D002648:Child; D002681:China / Q000453:epidemiology; D003424:Crohn Disease / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D012307:Risk Factors; D055815:Young Adult