High risk factors and prognosis of acute pancreatitis in pregnancy
- VernacularTitle:妊娠合并急性胰腺炎的高危因素及预后评估
- Author:
Haoyun ZHAO
;
Qin ZHANG
;
Yuanzhe WU
- Publication Type:Journal Article
- Keywords:
Pregnancy;
Acute pancreatitis;
Risk factors;
Prognosis
- From:
Journal of Medical Postgraduates
2015;(1):64-66
- CountryChina
- Language:Chinese
-
Abstract:
Objective The incidence rate of acute pancreatitis in pregnancy (APIP) is on the rise, and yet there is no effec-tive method for its prevention and treatment .This study aimed to investigate the high risk factors of APIP and its prognostic evaluation index. Methods We retrospectively analyzed the clinical data of 35 cases of APIP ( group A) and another 35 cases of acute pancre-atitis in non-pregnancy as controls (group B).We compared the etiologic factors of acute pancreatitis , changes of laboratory indexes after onset of the disease , and clinical outcomes between the two groups . Results No statistically significant differences were found in the risk factors between the two groups (χ2 =0.233, P>0.05).Serum cholesterol and triglyceride levels were remarkably higher in group A ([15.69 ±7.71] and [15.54 ±7.82] mol) than in B ([5.07 ±2.95] and [3.82 ±2.58] mol) (P<0.05).There were significant differences between groups A and B in WBC count ([19.00 ±5.31] vs [14.98 ±9.77] 109/L), Hb ([82.77 ±11.77] vs [101.77 ±1.50] g/L), and serum Glu ([8.77 ±2.76] vs [6.23 ±1.99] mol/L)(P<0.05).Multivariate logistic regression a-nalysis showed the predictive value of cholesterol and triglyceride levels for APIP and a correlation of WBC and Hb with the clinical out -comes of the patients.The in-hospital mortality rate was significantly higher in group A than in B (χ2 =3.968, P=0.046), and so was the incidence rate of severe acute pancreatitis (χ2 =5.510, P=0.019). Conclusion Biliary diseases are the main high risk factors of APIP, followed by hyperlipidemia .Triglyceride and cholesterol levels have the predictive value for APIP .The WBC count and Hb level can be used to assess the patients′condition and predict the clinical outcomes .
