[Association analysis between urbanization and non-communicable diseases and health-related behavior].

OBJECTIVE: To explore the association between different urbanization levels and non-communicable diseases (NCDs) in China and provide suggestions on designing relevant health policies in the urbanization process. METHODS: We obtained health-related data from China Health and Retirement Longitudinal Study (CHARLS) 2011. This study used multistage sampling in design stage and covered 150 districts/counties, representative at the levels of the country. Geo-information system (GIS) method was used to get district areas data, and in combination with the Sixth National Census population data, we computed the population density which was regarded as the proxy variable of urbanization level in every city. The Logistic model was used to explore the effect of urbanization level on hypertension, diabetes, smoking, drinking, overweight and obesity. RESULTS: Compared with other cities in China, Shanghai and Shenzhen, with the population density of more than 3 000 people per km(2), were the cities with highest urbanization level. From the map of urbanization distribution across China, it was found that the urbanization levels of the northwestern districts were lower than those of the southeastern and coastal districts. The hypertension rate increased with the development of urbanization but there was no statistical significance. The proportion of patients with diabetes went up first and then saw a decrease trend in the process of urbanization. Drinking rate, overweight rate and obesity rate had similar trends, falling to their lowest point when urbanization level equaled 737,1 186 and 1 353 people per km(2) respectively and then experienced upward trends. By contrast, smoking rate declined first and then went up (the turning point was 1 029 people per km(2)). CONCLUSION: Different urbanization levels have different effects on NCDs, health-related behavior, overweight and obesity. Low urbanization level may create negative impact on health while high level can pose positive effect and increase people's health condition possibly due to the improvement of health care accessibility and the quality of living environment. Policy-makers should specially focus on different residents'health problems in different periods of urbanization, such as the impact of environmental pollution, health resources' allocation and accessibility of health services. It is necessary to reduce or avoid the negative effect of urbanization on NCDs during the local development process to face the NCDs' threat.

Single nucleotide polymorphisms in NOS2A and NOS3 genes are not associated with treatment response of non-small cell lung cancer patients following the definitive radiochemotherapy.

Nitric oxide (NO), is endogenously synthesized from L-arginine by nitric oxide synthase (NOS), exhibits a dual role in sensitivity to radiotherapy and chemotherapy of cancer cells. The aim of this study was to evaluate the influence of polymorphisms in NOS genes on treatment response of non-small-cell lung cancer (NSCLC) patients after radiochemotherapy. A cohort of 198 NSCLC patients treated with radiochemotherapy between 2009 and 2011 were included in this study. Genotyping analyses of 35 SNPs ( NOS2A, 21 and NOS3, 14) in each sample were conducted by using the Sequenom MassArray system. Unconditional logistic regression was performed to assess the association between treatment response and each genotype while adjusting or not for other covariates. Of 198 patients, 87 (43.9%) had objective responses, and 111(56.1%) did not respond. We observed no significant associations between treatment response and each genotype. While adjusting for other covariates, the associations were also not significant. Our results suggest that genetic variations within the NOS2A and NOS3 genes may not influence the treatment response in NSCLC patients with radiochemotherapy. Future studies in this problem are required to confirm our findings.

Mortality prediction in adult cardiac surgery patients: comparison of two risk stratification models.

OBJECTIVE: To assess and compare the two commonly applied models--EuroSCORE and Parsonnet--in our local adult cardiac surgery patients, according to risk factor quantification related to mortality using a risk stratification protocol to assess the quality of cardiac surgical care. DESIGN: Prospective study. SETTING: Cardiac surgery centre in a regional hospital in Hong Kong. PATIENTS: All adult patients undergoing coronary artery bypass graft and heart valve surgery at the Grantham Hospital were evaluated prospectively from November 1999 to July 2005. MAIN OUTCOME MEASURES: In-hospital mortality was the defined end-point. Statistical analyses consisted of observed against expected mortality, Hosmer-Lemeshow goodness-of-fit test for calibration accuracy, and receiver operating characteristic curve for discrimination performance. RESULTS: During the study period, 1247 patients underwent coronary artery bypass graft surgery and 1406 underwent heart valve surgery. Observed mortality rates in these two patient groups were 2.9% and 4.8% respectively. The expected mortality rates as predicted by the EuroSCORE were (mean+/-standard deviation) 4.0+/-3.3% and 5.2+/-3.0% respectively, and by the Parsonnet model were 5.9+/-4.2% and 7.3+/-4.4% respectively. EuroSCORE performed better than the Parsonnet model at predicting in-hospital mortality assessed by the Hosmer-Lemeshow goodness-of-fit test. The areas under the receiver operating characteristic curves in coronary artery bypass graft surgery were 0.76 for EuroSCORE and 0.74 for Parsonnet. The receiver operating characteristic curve areas in valve surgery were 0.77 for EuroSCORE and 0.79 for Parsonnet. CONCLUSION: Despite significant geographic and demographic differences between European and Asian patients, in our local adult cardiac surgery patients, the EuroSCORE performed well with good calibration and discrimination in predicting mortality. There was a tendency for both models to over predict. However, the EuroSCORE can serve as a baseline for the development of a local risk model.

Effects of biatrial pacing in prevention of postoperative atrial fibrillation after coronary artery bypass surgery.

BACKGROUND: Atrial fibrillation (AF) is common after coronary artery bypass surgery (CABG) and results in prolonged hospitalization. The purpose of this study was to evaluate the efficacy of biatrial pacing in preventing post-CABG AF compared with single-site atrial pacing. METHODS AND RESULTS: A total of 132 patients who had no history of AF and who underwent CABG were randomized to 1 of the following 4 groups: biatrial pacing (BiA), left atrial pacing (LA), right atrial pacing (RA), or no pacing (control) in postoperative period. Overdrive atrial pacing was performed for 5 days. The incidence of AF was significantly reduced in the BiA group (12.5%) compared with the other 3 groups (LA, 36.4%; RA, 33.3%; control, 41. 9%; P<0.05). The mean length of hospital stay was significantly reduced in the BiA group. At baseline, the mean P-wave duration (P(dur)) and dispersion (P(dis)) were not prolonged. BiA pacing resulted in the most significant percentage of reduction in P(dis) when compared with the LA or RA groups (BiA, 42+/-8%; LA, 13+/-6%; RA, 10+/-9%; P<0.05 for BiA versus LA or RA). No significant differences existed in mean P(dur) and P(dis) between patients who developed AF and those who remained in sinus rhythm at baseline. However, only those patients who remained in sinus rhythm had a significant reduction in mean P(dur) and P(dis) after pacing therapy. CONCLUSIONS: Biatrial overdrive pacing is more effective in preventing post-CABG AF than single-site atrial pacing; this therapy also results in a shortened hospital stay. The overall reduction in atrial activation time with BiA pacing was reflected in the reduction in P(dis).