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1.
Gut ; 60(6): 806-13, 2011 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-21486939

RESUMO

OBJECTIVES: To assess the variation in risk-adjusted 30-day postoperative mortality for patients with colorectal cancer between hospital trusts within the English NHS. DESIGN: Retrospective cross-sectional population-based study of data extracted from the National Cancer Data Repository. SETTING: All providers of major colorectal cancer surgery within the English NHS. PARTICIPANTS: All 160,920 individuals who underwent major resection for colorectal cancer diagnosed between 1998 and 2006 in the English NHS. Main outcome measures National patterns of 30-day postoperative mortality were examined and logistic binary regression was used to study factors associated with death within 30 days of surgery. Funnel plots were used to show variation between trusts in risk-adjusted mortality. RESULTS: Overall 30-day mortality was 6.7% but decreased over time from 6.8% in 1998 to 5.8% in 2006. The largest reduction in mortality was seen in 2005 and 2006. Postoperative mortality increased with age (15.0% (95% CI 14.1% to 15.9%) for those aged >80 years), comorbidity (24.2% (95% CI 22.0% to 26.5%) for those with a Charlson comorbidity score ≥ 3), stage of disease (9.9% (95% CI 9.3% to 10.6%) for patients with Dukes' D disease), socioeconomic deprivation (7.8% (95% CI 7.2% to 8.4%) for residents of the most deprived quintile) and operative urgency (14.9% (95% CI 14.2% to 15.7%) for patients undergoing emergency resection). Risk-adjusted control charts showed that one trust had consistently significantly better outcomes and three had significantly worse outcomes than the population mean. CONCLUSIONS: Significant variation in 30-day postoperative mortality following major colorectal cancer surgery existed between NHS hospitals in England throughout the period 1998-2006. Understanding the underlying causes of this variation between surgical providers will make it possible to identify and spread best practice, improve outcomes and, ultimately, reduce 30-day postoperative mortality following colorectal cancer surgery.


Assuntos
Neoplasias Colorretais/mortalidade , Neoplasias Colorretais/cirurgia , Adulto , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , Neoplasias Colorretais/patologia , Emergências , Inglaterra/epidemiologia , Métodos Epidemiológicos , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Distribuição por Sexo , Fatores Socioeconômicos , Medicina Estatal/estatística & dados numéricos , Resultado do Tratamento
2.
J Gastroenterol Hepatol ; 26(12): 1725-32, 2011 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-21649724

RESUMO

BACKGROUND AND AIM: The contribution of human genetic polymorphisms to Helicobacter pylori infection and gastric cancer (GC) development remains unclear due to geographic variation in the association between specific host genetic polymorphisms and GC. In the current study we investigated the association between polymorphisms related to immune and cancer-related pathways and H. pylori infection among the major ethnicities, Chinese, Malay and Indian, resident in Singapore and Malaysia as well as the association between these polymorphisms and GC development in ethnic Chinese patients. METHODS: Thirty-four polymorphisms in 26 genes were typed by mass spectrometry in 422 patients undergoing endoscopy (162 Chinese, 113 Indian and 87 Malay controls and 60 Chinese GC cases). Patients were assessed for evidence of H. pylori infection. Odds ratios (OR) and confidence intervals (CI) were obtained using logistic regression models. RESULT: The prevalence of 16 polymorphisms varied significantly among the ethnicities. In the Chinese subgroup, nominally significant associations were shown between (i) EBBR2+1963G (rs1801200) and H. pylori infection (per-allele OR: 0.48, 95% CI 0.23, 0.98, P = 0.04), (ii) PTGS2-1195G (rs689466) and an increased risk of GC on adjusting for H. pylori status (OR: 1.53, 95% CI 0.99, 2.37, P = 0.05), and (iii) IL1B-1473C (rs1143623) and a decreased risk of GC (OR: 0.64, 95% CI 0.41, 0.99, P = 0.05). Borderline significant associations were seen between IL2-330G (rs2069762) (OR 1.45, 95% CI 0.95, 2.15, P = 0.06) and IL13-1111T (rs1800925) (OR 0.65, 95% CI 0.42, 1.01, P = 0.06) and H. pylori infection. CONCLUSION: These findings contribute to the understanding of the genetic variation between ethnicities, which may influence H. pylori susceptibility and the outcome of infection.


Assuntos
Predisposição Genética para Doença/genética , Variação Genética/genética , Infecções por Helicobacter/genética , Helicobacter pylori , Polimorfismo Genético/genética , Neoplasias Gástricas/genética , Adulto , China/etnologia , Feminino , Infecções por Helicobacter/epidemiologia , Humanos , Índia/etnologia , Modelos Logísticos , Malásia/epidemiologia , Masculino , Pessoa de Meia-Idade , Singapura/epidemiologia , Neoplasias Gástricas/epidemiologia
3.
Br J Nutr ; 102(9): 1276-9, 2009 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-19653921

RESUMO

Deoxynivalenol (DON) is a toxic fungal metabolite found on wheat, maize and barley. We previously reported a significant association between the amount of DON in a single 24 h urine sample and the average cereal intake over 7 d for 300 UK adults. In this more detailed analysis of the data, food diary information (n 255) for the day of urine collection (model I), the previous 24 h period (model II) and the day of urine collection plus the previous 24 h combined (model III) were further examined to assess whether the recent intake of cereal correlated more strongly with urinary DON, compared with the longer-term assessment of usual cereal intake from 7 d food diaries (model IV). DON was detected in 254/255 (99.6 %) urine samples (mean 12.0 microg/d; range not detected-66 microg/d). For all the models, total cereal intake was positively associated with urinary DON (P < 0.001) in each model. The goodness of fit (adjusted R2 value) was used to assess how well each model explained the variation in urinary DON. Model I provided a better goodness of fit (adjusted R2 0.22) than model IV (adjusted R2 0.19), whereas model III provided the best fit (adjusted R2 0.27). These data suggest that the inter-individual variation in urinary DON was somewhat better explained by recent cereal intake compared with usual cereal intake assessed over 7 d.


Assuntos
Grão Comestível , Contaminação de Alimentos/análise , Tricotecenos/urina , Adulto , Biomarcadores/urina , Registros de Dieta , Inquéritos sobre Dietas , Monitoramento Ambiental/métodos , Comportamento Alimentar , Feminino , Humanos , Masculino
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