Long-term fasting glucose variability and risk of cancer in patients with type 2 diabetes mellitus: A retrospective population-based cohort study in Shanghai.

BACKGROUNDS: Fasting blood glucose (FBG) variability may make an impact on adverse events in patients with diabetes mellitus. However, the association between long-term changes in FBG and cancer remains unclear. We aimed to investigate this association in a large-scale longitudinal study. METHODS: Data were collected from 46 761 patients with type 2 diabetes mellitus aged 20-80 years who participated in the Diabetes Standardized Management Program in Shanghai, China. We adopted four indicators, including standard deviation (SD), coefficient of variation (CV), variation independent of the mean (VIM), and average real variability (ARV) to describe FBG variability. Adjusted multivariable Cox regression analyses and restricted cubic splines were used to investigate the association between long-term FBG variability and cancer risk. We also determined the interactive effect of FBG variability with hypertension and FBG-mean with hypertension on cancer risk, respectively. RESULTS: In this study, we confirmed 2218 cancer cases (51.1% male) over a median follow-up of 2.86 years. In the multivariable-adjusted models, participants in the highest quartile of FBG variability had an increased risk of cancer compared with those in the lowest quartile. The nonlinear association was found when using FBG-VIM, FBG-ARV, and FBG-SD in restricted cubic spline plots. There was a significant interaction effect of FBG variability with hypertension on cancer, whereas the effect of FBG-mean with hypertension did not attain significance. CONCLUSIONS: Our retrospective cohort study demonstrated a positive association between the long-term changes in FBG and cancer risk in patients with type 2 diabetes mellitus. FBG variability may independently predict cancer incidence.

Association between gait features assessed by artificial intelligent system and cognitive function decline in patients with silent cerebrovascular disease: study protocol of a multicenter prospective cohort study (ACCURATE-2).

BACKGROUND: Gait disturbances may appear prior to cognitive dysfunction in the early stage of silent cerebrovascular disease (SCD). Subtle changes in gait characteristics may provide an early warning of later cognitive decline. Our team has proposed a vision-based artificial intelligent gait analyzer for the rapid detection of spatiotemporal parameters and walking pattern based on videos of the Timed Up and Go (TUG) test. The primary objective of this study is to investigate the relationship between gait features assessed by our artificial intelligent gait analyzer and cognitive function changes in patients with SCD. METHODS: This will be a multicenter prospective cohort study involving a total of 14 hospitals from Shanghai and Guizhou. One thousand and six hundred patients with SCD aged 60-85 years will be consecutively recruited. Eligible patients will undergo the intelligent gait assessment and neuropsychological evaluation at baseline and at 1-year follow-up. The intelligent gait analyzer will divide participant into normal gait group and abnormal gait group according to their walking performance in the TUG videos at baseline. All participants will be naturally observed during 1-year follow-up period. Primary outcome are the changes in Mini-Mental State Examination (MMSE) score. Secondary outcomes include the changes in intelligent gait spatiotemporal parameters (step length, gait speed, step frequency, step width, standing up time, and turning back time), the changes in scores on other neuropsychological tests (Montreal Cognitive Assessment, the Stroop Color Word Test, and Digit Span Test), falls events, and cerebrovascular events. We hypothesize that both groups will show a decline in MMSE score, but the decrease of MMSE score in the abnormal gait group will be more significant. CONCLUSION: This study will be the first to explore the relationship between gait features assessed by an artificial intelligent gait analyzer and cognitive decline in patients with SCD. It will demonstrate whether subtle gait abnormalities detected by the artificial intelligent gait analyzer can act as a cognitive-related marker for patients with SCD. TRIAL REGISTRATION: This trial was registered at ClinicalTrials.gov ( NCT04456348 ; 2 July 2020).

Association of serum uric acid with thyroid function in health check-up participants.

BACKGROUND: The relationship of uric acid (UA) with the thyroid function among healthy individuals remains unclear. We aimed to examine the relationship between UA contents and thyroid hormone levels in healthy Chinese individuals. METHODS: This was a cross-sectional study of 1186 Chinese adults (736 men and 450 women) who underwent a health check-up at the Huadong Hospital Affiliated to Fudan University (Shanghai, China) between January 1, 2010 and July 31, 2018. Clinical and thyroid hormone levels were compared in different UA groups (in male and menopause women groups, MG1: UA < 5 mg/dL; MG2: 5 mg/dL ≤ UA< 7 mg/dL; and MG3: UA ≥ 7 mg/dL; in female groups, FG1 to FG3 represent the UA levels of <4 mg/dL, 4 mg/dL ≤ UA< 6 mg/dL, and ≥6 mg/dL, respectively). In addition, natural cubic spline regression, together with Pearson correlation analysis, was performed in investigating the correlation of UA with thyroid hormones. RESULTS: After adjusting for confounding factors, low levels of UA (for males, UA < 5.30 mg/dL; for females, UA < 4.05 mg/dL) were negatively correlated with free triiodothyronine (FT3) both in men and women. UA levels between 4.83 and 6.06 mg/dL may act to protect FT3 in women, while UA levels between 6.39 and 7.09 mg/dL may protect FT3 in men. FT3 levels of low-range UA group reduced compared with mid-range UA and the high-range UA groups in both men and women. CONCLUSIONS: Our results provide epidemiologic evidence to support the negative correlation between low UA contents and FT3 in the Chinese Han population, suggesting that the reduced UA contents may serve as the risk factor to predict poor thyroid function in Chinese individuals.

Body mass index and cancer risk among Chinese patients with type 2 diabetes mellitus.

BACKGROUND: Obesity and diabetes are two risk factors for cancer. To evaluate the association of body mass index (BMI) with cancer risk in diabetic patients may improve current understanding of potential mechanisms. METHODS: A retrospective cohort study was conducted in 51,004 newly diagnosed T2DM patients derived from an electronic health record (EHR) database of Minhang district in Shanghai, China. Incident cancer cases and all-cause deaths occurred before September 30, 2015 were identified by linking with the Shanghai Cancer Registry and the Shanghai Vital Statistics. To examine the potential non-linear and linear relationships of BMI and cancer risk, Cox proportional hazard models with and without restricted cubic spline functions were used, respectively. RESULTS: A non-linear association was observed between BMI and overall cancer incidence in men younger than 60 years old (p for non-linearity = 0.009). Compared with those having BMI of 25.0 kg/m2, the cancer risk increased in those with either lower or higher BMI. In women older than 60 years old, linear dose-response relationships were observed between BMI and the risk of both overall cancer and breast cancer. As each unit increase in BMI, the overall cancer risks elevated by 3% (95%CI: 1-5%) and the breast cancer risks increased by 7% (95%CI: 1-13%). No significant association was observed between BMI and other common cancer sites. CONCLUSIONS: Our results show that the effect of BMI on cancer risk in Chinese patients with T2DM may vary by gender, age and cancer subtypes, suggesting different underlying biological mechanisms.

Comparison of the Glasgow Prognostic Score (GPS) and the modified Glasgow Prognostic Score (mGPS) in evaluating the prognosis of patients with operable and inoperable non-small cell lung cancer.

PURPOSE: The Glasgow Prognostic Score (GPS) and modified Glasgow Prognostic Score (mGPS) are shown to be reliable prognostic indexes in patients with operable and inoperable non-small cell lung cancer (NSCLC). Considering the difference between the two indexes lies in whether hypoalbuminemia without an elevated C-reactive protein (CRP) is associated with worse survival, this study aims to evaluate the prognostic performance of hypoalbuminemia in patients without an elevated CRP and to compare the prognostic value of GPS and mGPS in patients with operable and inoperable NSCLC. METHODS: The data of 2988 patients were retrospectively collected from the Shanghai Health Information Network. Univariate and multivariate Cox regression was performed to investigate the prognostic effect of albumin, CRP, GPS and mGPS. Restricted cubic spline was also performed to evaluate the relationship between albumin and hazard ratio. Kaplan-Meier survival curves were estimated and compared using the log-rank test. Additional discriminative ability of GPS and of mGPS was evaluated using the area under the curve and Harrell's concordance index. RESULTS: Hypoalbuminemia was associated with worse survival in both operable and inoperable patients without an elevated CRP. The Kaplan-Meier survival curve of hypoalbuminemic patients without an elevated CRP was more close to the curve of patients with an elevated CRP and a normal albumin than to the curve of patients with neither of these abnormalities. Multivariate analysis, AUC and C-index all indicated that GPS had a higher prognostic value than mGPS. CONCLUSIONS: Hypoalbuminemia was associated with worse survival in patients with or without an elevated CRP. GPS was superior to mGPS in predicting survival in operable and inoperable NSCLC patients.

Incidence and survival of non-small cell lung cancer in Shanghai: a population-based cohort study.

OBJECTIVES: Large population-based studies on the incidence and outcome of non-small cell lung cancer (NSCLC) are lacking in mainland China. This study aimed to investigate the NSCLC incidence, demographic features and survival as well as factors affecting survival of patients with NSCLC in Shanghai. DESIGN: Prospective observational cohort study. SETTING: Baseline information was collected from Shanghai Health Information Network, which is based on the Health Information Systems from all the comprehensive hospitals and specialist hospitals qualified for cancer diagnosis in the Shanghai metropolitan area. PARTICIPANTS: All NSCLC cases identified from the database between 2011 and 2013 were recruited (15,020 patients). MAIN RESULTS: The crude and age-adjusted incidences of NSCLC were 54.20 per 100,000 people (55.90 per 100,000 for men, 52.39 per 100,000 for women) and 39.05 per 100,000 people (41.43 per 100,000 for men and 37.13 per 100,000 for women), respectively. The median survival time was 22.7 months (95% CI 21.8 to 24.2 months) with an overall 1-year survival rate of 71.8% (95% CI 69.8% to 73.8%). The 1-year survival rate was 96.5% (95% CI 94.0% to 98.6%) in patients with stage I NSCLC, 89.1% (95% CI 83.3% to 94.9%) in patients with stage II NSCLC, 78.8% (95% CI 74.1% to 83.5%) in patients with stage IIIa NSCLC and 58.9% (95% CI 56.1% to 61.7%) in patients with stage IIIb/IV NSCLC. Multivariate analysis showed surgical resection (HR=0.607, 95% CI 0.511 to 0.722) and chemotherapy (HR=0.838, 95% CI 0.709 to 0.991) significantly improved survival. Factors associated with poor survival included older age, male sex, larger tumour size, lymph node metastasis, distant metastasis and squamous cell carcinoma. CONCLUSIONS: A higher incidence and better survival rates for patients with NSCLC were identified when compared with previously published studies, which may provide evidence on the incidence and survival of NSCLC in China.

Cancer incidence in patients with type 2 diabetes mellitus: a population-based cohort study in Shanghai.

BACKGROUND: Type 2 diabetes mellitus (T2DM) has been suggested to increase the risk of cancers. The aim of this study was to investigate the risk of common cancers in Chinese patients with T2DM. METHODS: A population-based retrospective cohort study including 36,379 T2DM patients was conducted in Minhang District of Shanghai, China, during 2004 to 2010. All T2DM patients were enrolled from the standardized management system based on local electronic information system. Newly-diagnosed cancer cases were identified by record-linkage with the Shanghai Cancer Registry. Standardized incidence ratios (SIR) and 95% confidence interval (CI) were used to estimate the risk of cancers among T2DM patients. RESULTS: Overall crude incidence rate (CIR) of cancers was 955.21 per 105 person-years in men and 829.57 per 105 person-years in women. Increased risk of cancer was found in both gender, with an SIR being 1.28 (95% CI = 1.17-1.38) in men and 1.44 (95% CI =1.32-1.55) in women. Increased risk of colon (SIR = 1.97; 95% CI = 1.49 to 2.46), rectum (1.72; 1.23 to 2.21), prostate (2.87; 2.19 to 3.56), and bladder cancers (1.98, 1.28 to 2.68) were observed in men and elevated risk of colon (1.67; 1.25 to 2.08), breast (1.66; 1.38 to 1.95), and corpus uteri cancers (2.87; 2.03 to 3.71) were observed in women. CONCLUSIONS: Our results indicate that Chinese patients with T2DM may have an increased risk of some cancers, and the increase may vary by sub-sites of cancers.

Robustified maximum likelihood estimation in generalized partial linear mixed model for longitudinal data.

In this article, we study the robust estimation of both mean and variance components in generalized partial linear mixed models based on the construction of robustified likelihood function. Under some regularity conditions, the asymptotic properties of the proposed robust estimators are shown. Some simulations are carried out to investigate the performance of the proposed robust estimators. Just as expected, the proposed robust estimators perform better than those resulting from robust estimating equations involving conditional expectation like Sinha (2004, Journal of the American Statistical Association99, 451-460) and Qin and Zhu (2007, Journal of Multivariate Analysis98, 1658-1683). In the end, the proposed robust method is illustrated by the analysis of a real data set.