Predicting in-hospital mortality risk for perforated peptic ulcer surgery: the PPUMS scoring system and the benefit of laparoscopic surgery: a population-based study.

BACKGROUND: The major treatment for perforated peptic ulcers (PPU) is surgery. It remains unclear which patient may not get benefit from surgery due to comorbidity. This study aimed to generate a scoring system by predicting mortality for patients with PPU who received non-operative management (NOM) and surgical treatment. METHOD: We extracted the admission data of adult (≥ 18 years) patients with PPU disease from the NHIRD database. We randomly divided patients into 80% model derivation and 20% validation cohorts. Multivariate analysis with a logistic regression model was applied to generate the scoring system, PPUMS. We then apply the scoring system to the validation group. RESULT: The PPUMS score ranged from 0 to 8 points, composite with age (< 45: 0 points, 45-65: 1 point, 65-80: 2 points, > 80: 3 points), and five comorbidities (congestive heart failure, severe liver disease, renal disease, history of malignancy, and obesity: 1 point each). The areas under ROC curve were 0.785 and 0.787 in the derivation and validation groups. The in-hospital mortality rates in the derivation group were 0.6% (0 points), 3.4% (1 point), 9.0% (2 points), 19.0% (3 points), 30.2% (4 points), and 45.9% when PPUMS > 4 point. Patients with PPUMS > 4 had a similar in-hospital mortality risk between the surgery group [laparotomy: odds ratio (OR) = 0.729, p = 0.320, laparoscopy: OR = 0.772, p = 0.697] and the non-surgery group. We identified similar results in the validation group. CONCLUSION: PPUMS scoring system effectively predicts in-hospital mortality for perforated peptic ulcer patients. It factors in age and specific comorbidities is highly predictive and well-calibrated with a reliable AUC of 0.785-0.787. Surgery, no matter laparotomy or laparoscope, significantly reduced mortality for scores < = 4. However, patients with a score > 4 did not show this difference, calling for tailored approaches to treatment based on risk assessment. Further prospective validation is suggested.

False Appearance of Gene-Environment Interactions in Genetic Association Studies.

Under the assumption of gene-environment independence, unknown/unmeasured environmental factors, irrespective of what they may be, cannot confound the genetic effects. This may lead many people to believe that genetic heterogeneity across different levels of the studied environmental exposure should only mean gene-environment interaction--even though other environmental factors are not adjusted for. However, this is not true if the odds ratio is the effect measure used for quantifying genetic effects. This is because the odds ratio is a "noncollapsible" measure--a marginal odds ratio is not a weighted average of the conditional odds ratios, but instead has a tendency toward the null. In this study, the authors derive formulae for gene-environment interaction bias due to noncollapsibility. They use computer simulation and real data example to show that the bias can be substantial for common diseases. For genetic association study of nonrare diseases, researchers are advised to use collapsible measures, such as risk ratio or peril ratio.

[High level expression of PNGase F in Escherichia coli and its bioactivities].

In order to obtain active recombinant PNGase F in Escherichia coli, a prokaryotic expression vector pET28a/PNGase F was constructed. Amplification of PNGase F was obtained using PCR technique employing suitable primers designed according to the PNGase F gene sequence from Flavobacterium nmeningosepticum. The expression of PNGase F gene in LB medium or M9 medium led to the formation of inclusion body and soluble protein, respectively. The refolding of the denatured inclusion body was successful by gradual dilution. Further purification of the refolded protein and soluble crude extract from M9 medium with Ni2+ -NTA argarose resulted a 90% purified PNGase F. The purified protein catalyzed the complete and intact cleavage of N-linked oligosaccharides from various glycoproteins. The efficiency of this cleavage was affected by the substrate status in the reaction system. In summary, we have developed an enzyme production system where PNGase F was over-expressed in recombinant E. coli. This system can provide more than 15 mg/L purified active PNGase F. This purified active PNGase F can be used as tools in analyzing the oligosaccharide structure.