The study aims to examine whether the annual variations in fasting plasma glucose (FPG) measurements, represented by the coefficient of variation (CV), predict cancer incidence and mortality in the subsequent years independent of traditional risk factors of type 2 diabetic patients. A computerized database of patients with type 2 diabetes of 30 years old and older (n=4805) enrolled in the Diabetes Care Management Program of a medical center before 2006 was analyzed using a time-dependent Cox's proportional hazards regression model. The mortality rates for the first, second, and third tertiles of the first annual FPG-CV were 8.64, 12.71, and 30.82 per 1000 person-years respectively. After adjusting for mean FPG, HbA1c, and other risk factors, the annual FPG-CV was independently associated with cancer incidence, cancer mortality, and cancer incidence or mortality, and the corresponding hazard ratios for the third vs first tertile of the annual FPG-CV were 3.03 (1.98, 4.65), 5.04 (2.32, 10.94), and 2.86 (1.91, 4.29) respectively. The annual variation in FPG was a strong predictor of cancer incidence and mortality in type 2 diabetic patients; therefore, glucose variation may be important in the clinical practice of care management and cancer prevention.
Background
The risk of some forms of cancer has been found to be higher in patients with diabetes mellitus (DM) than in the general population. The aim of this study was to examine, with sufficient statistical power, the association between DM and lung cancer and the impact of antidiabetes drugs on lung cancer risk in Taiwan.
Materials and Methods
From a randomly selected data set of 1 million National Health Insurance (NHI) claims in Taiwan from 2000-2005, 19,624 cases (patients ≥ 20 years of age) of newly diagnosed DM were identified. From the same data set, 78,496 enrollees with no record of DM were selected as controls and were matched in sex and age to the first group. The incidence of newly diagnosed lung cancer was compared between patients with DM and controls for a period of 9 years (2000-2008).
Results
The multivariate Cox model analysis showed a slightly increased hazard ratio (HR) of 1.05 of lung cancer in patients with DM, but the association was not statistically significant. However the use of antidiabetes drugs, such as metformin, thiazolidinediones, or alpha-glucosidase inhibitors, correlates with a decreased lung cancer risk of 39%-45%. A significant association was found between lung cancer risk and male sex (HR, 2.23), pulmonary tuberculosis (HR, 1.60), chronic obstructive pulmonary disease (HR, 1.21), and age (HR, 1.07).
Conclusion
Patients with DM are not at increased risk for the development of lung cancer, but the use of antidiabetes drugs would considerably decrease the risk. In this cohort, male sex, age, pulmonary tuberculosis, and chronic obstructive pulmonary disease were all associated with an increased risk of lung cancer, consistent with findings in the literature and indicative of the validity of our study.
The present study evaluated emergency room visit (ERV) risks for all causes and cardiopulmonary diseases associated with temperature and long-lasting extreme temperatures from 2000 to 2009 in four major cities in Taiwan. The city-specific daily average temperatures at the high 95th, 97th, and 99th percentiles, and the low 10th, 5th, and 1st percentiles were defined as extreme heat and cold. A distributed lag non-linear model was used to estimate the cumulative relative risk (RR) of ERV for morbidities associated with temperatures (0 to 3-day lags), extreme heat and cold lasting for 2 to 9 days or longer, and with the annual first extreme heat or cold event after controlling for covariates. Low temperatures were associated with slightly higher ERV risks than high temperatures for circulatory diseases. After accounting for 4-day cumulative temperature effect, the ERV risks for all causes and respiratory diseases were found to be associated with extreme cold at the 5th percentile lasting for >8 days and 1st percentile lasting for >3 days. The annual first extreme cold event of 5th percentile or lower temperatures was also significantly associated with ERV, with RRs ranging from 1.09 to 1.12 for all causes and from 1.15 to 1.26 for respiratory diseases. The annual first extreme heat event of 99th percentile temperature was associated with higher ERV for all causes and circulatory diseases. Annual first extreme temperature event and intensified prolonged extreme cold events are associated with increased ERVs in Taiwan.
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