[Clinical significance of continuous XXXX in predicting @entity295 after severe burn].

@entity1 @entity295 @entity882 @entity1457 @entity5642 @entity4808 @entity130
OBJECTIVE: To explore the relationship between continuous @entity882 and @entity295 in @entity1 with severe burns. METHODS: Clinical data of 148 severely @entity4808 @entity1 admitted to our,two burn centers from January 2007 to December 2011 and conforming to the study criteria were retrospectively analyzed. All @entity1 were divided into @entity295 group (n =44) and non- @entity295 group (n = 104) according to the presence or absence of @entity295 within @entity4808 ( @entity4808 ) 30. The data of age, gender, total burn area, full-thickness burn area, fluid infusion volume within post burn hour (PBH) 24, plasma concentration of calcium ion on @entity4808 1, plasma concentration of albumin on @entity4808 1, platelet count on @entity4808 1, acute physiology and chronic health evaluation (APACHE) II score on admission, the presence or absence of @entity1457 or @entity130 on admission, the presence or absence of @entity5642 ( @entity5642 ) within PBH 48, operation or no operation within @entity4808 3, @entity882 duration within @entity4808 10, and mortality were statistically compared between two groups to screen the independent risk factors of @entity295 . Data were processed with t test, chi-square test, single factor Logistic regression analysis, and multi-factor Logistic regression analysis. RESULTS: Between two groups, there were statistically significant differences in total burn area, full-thickness burn area, plasma concentration of calcium ion on @entity4808 1, plasma concentration of albumin on @entity4808 1, APACHE II score on admission, presence or absence of hypovolem- ic shock on admission, presence or absence of @entity130 on admission, presence or absence of @entity5642 within PBH 48, and mortality (with t values from 2.433 to 4.082,   2 values from 8. 818 to 31.528, P < 0.05 or P < 0.01). Furthermore, the duration of @entity882 within @entity4808 10 in @entity295 group was (5.2    2.4) d, which was significantly longer than that in non- @entity295 group [(2.9    1.9) d, t =6. 189, P <0.01]. There were no statistically significant differences in the other indexes between two groups (with t values from 0.971 to 1. 250,   2 values respectively 0. 054 and 1.529, P values above 0.05). Single factor and multi-factor Logistic regression analysis indicated that APACHE II score on admission and duration of @entity882 within @entity4808 10 were closely related to occurrence of @entity295 (with odds ratio respectively 1. 140 and 1.569, P values below 0.01). CONCLUSIONS: Duration of @entity882 within @entity4808 10 is one of the risk factors for @entity295 in severely @entity4808 @entity1 , which can reflect pathophysiological changes in the body, thus providing predictive value for the occurrence of @entity295 .
