| Literature DB >> 16780583 |
Smita S Sharma1, Manju R Mamtani, Mamta S Sharma, Hemant Kulkarni.
Abstract
BACKGROUND: With dwindling rates of postoperative mortality in perforated peptic ulcer that is attributable to H2-receptor blocker usage, there is a need to shift the focus towards the prevention of postoperative morbidity. Further, the simultaneous contribution of several putative clinical predictors to this postoperative morbidity is not fully appreciated. Our objective was to assess the predictors of the risk, rate and number of postoperative complications in surgically treated patients of perforated peptic ulcer.Entities:
Mesh:
Year: 2006 PMID: 16780583 PMCID: PMC1544354 DOI: 10.1186/1471-2482-6-8
Source DB: PubMed Journal: BMC Surg ISSN: 1471-2482 Impact factor: 2.102
Figure 1Characteristics of the study subjects. (A and B) Histograms showing the distribution of age (A) and duration of pain (B) in the study subjects. IQR, interquartile range. (C) Bar chart showing the proportion of study subjects with the indicated characteristics on admission. (D and E) Pie chart showing the distribution of blood groups (D) and size of perforation in the study subjects (E). At the bottom of panel E is given the distribution of the site of perforation. * represents the four subjects in which the site of perforation could not be determined intra-opeartively.
Figure 2Association of the study factors with postoperative complications. (A to E) Kaplan-Meier (K-M) plots showing the time to development of postoperative complication based on five significant study factors. The significance values (P) was estimated using logrank test. The median time to a postoperative complication across the two categories of each predictor is shown inside each K-M plot. The colors used in the plots correspond to the colors used figure 1A and 1C. The remaining K-M plots are shown in part A of the Additional file. (F) Multiple regression analyses assessing the association of the study factors with three outcomes related to postoperative complications – risk of developing complication (left), rate of developing complication (center) and number of complications (right). For each of these outcomes, we used appropriate stepwise multiple regression models (indicated at the bottom and described in Methods section). The bars represent the risk estimate and the error bars represent the 95% confidence interval. The numbers opposite the bars are significance values obtained from the respective regression analyses. The full results of these models are given in part B of the Additional File 1