The value of carcinoembryonic antigen stage in staging, prognosis, and management of colorectal cancer: results from two cohort studies

BackgroundCombining the carcinoembryonic antigen (CEA) level (C stage) with TNM staging can provide a more comprehensive prognostic assessment of colorectal cancer (CRC). However, the clinical value of incorporating CEA status into the TNM staging system needs to be evaluated.MethodsWe used the SEER database (N = 49,350) and a retrospective cohort from China (N = 1,440). A normal CEA level was staged as C0 and an elevated CEA level was staged as C1. Restricted cubic spline analysis was used to examine the dose-response relationship between the CEA level and survival. The Kaplan-Meier method with the log-rank test was used to plot survival curves. Multivariable Cox proportional hazards regression models with forward stepwise variable selection were used to estimate the hazard ratios and 95% confidence intervals.ResultsPatients with C1 were more likely to have advanced disease than those with C0. CEA on a continuous scale was positively associated with mortality risk. Compared with patients with C0 stage, those with C1 stage had significantly lower survival rates. In the SEER dataset, C1 was independently associated with poor prognosis in patients with CRC, with an approximately 70% increased risk of mortality. Patients with C1 stage had significantly lower survival than those with C0 stage at all clinical stages. Incorporating the C stage into the TNM staging refined the prediction of prognosis of patients with CRC, with a gradual decline in prognosis from stage I C0 to stage IV C1. A similar pattern was observed in the present retrospective cohort study. At each lymph node stage, patients with C1 had significantly lower 5-year survival rates than patients with C0. Compared with lymph node positivity, CEA positivity may have a stronger correlation with a worse prognosis.ConclusionOur findings not only validated the independent prognostic significance of CEA in CRC but also demonstrated its enhanced prognostic value when combined with TNM staging. Our study provides evidence supporting the inclusion of C stage in the TNM staging system

Serum creatinine/cystatin C ratio as a prognostic indicator for patients with colorectal cancer

BackgroundThis study aimed to explore the relationship between creatinine/cystatin C ratio and progression-free survival (PFS) and overall survival (OS) in colorectal cancer (CRC) patients undergoing surgical treatment.MethodsA retrospective analysis was conducted on 975 CRC patients who underwent surgical resection from January 2012 to 2015. Restricted three-sample curve to display the non-linear relationship between PFS/OS and creatinine-cystatin C ratio. Cox regression model and Kaplan-Meier method were used to evaluate the effect of the creatinine-cystatin C ratio on the survival of CRC patients. Prognostic variables with p-value ≤0.05 in multivariate analysis were used to construct prognostic nomograms. The receiver operator characteristic curve was used to compare the efficacy of prognostic nomograms and the traditional pathological stage.ResultsThere was a negative linear relationship between creatinine/cystatin C ratio and adverse PFS in CRC patients. Patients with low creatinine/cystatin C ratio had significantly lower PFS/OS than those with high creatinine/cystatin C ratio (PFS, 50.8% vs. 63.9%, p = 0.002; OS, 52.5% vs. 68.9%, p < 0.001). Multivariate analysis showed that low creatinine/cystatin C ratio was an independent risk factor for PFS (HR=1.286, 95%CI = 1.007–1.642, p=0.044) and OS (HR=1.410, 95%CI=1.087–1.829, p=0.010) of CRC patients. The creatinine/cystatin C ratio-based prognostic nomograms have good predictive performance, with a concordance index above 0.7, which can predict the 1–5-year prognosis.ConclusionCreatinine/cystatin C ratio may be an effective prognostic marker for predicting PFS and OS in CRC patients, aid in pathological staging, and along with tumour markers help in-depth prognostic stratification in CRC patients

Systemic Inflammation Is Associated With Longitudinal Changes in Cognitive Performance Among Urban Adults

Objectives/Background: Systemic inflammation can affect cognitive performance over time. The current study examined associations between systemic inflammation and cognitive performance among African Americans and Whites urban adults, stratifying by sex, and age group and by race.Patients/Methods: Among 1,555–1,719 White and African-American urban adults [Agebase: 30–64y, 2004-2013, mean±SD follow-up time(y): 4.64 ± 0.93y], conducted linear mixed-effects regression models were conducted to test associations of inflammatory markers [C-reactive protein, Erythrocyte Sedimentation Rate (ESR), albumin, iron, and an inflammation composite score (ICS)] with longitudinal cognitive performance.Results: Among key findings, CRP was linked to poorer baseline mental status among younger women (≤50y, γ01 = –0.03 ± 0.01, p = 0.002) and poorer attention in older women (>50y, γ01 = −0.024 ± 0.007, p < 0.004) and African-Americans (γ01 = −0.029 ± 0.008, p < 0.001). ESR was related to faster decline on verbal memory among older men (>50y, γ11 = −0.008 ± 0.003, P = 0.009); with poorer performance on attention tests overall (γ01 = −0.010 ± 0.003, P = 0.003) and among African-Americans (γ01 = −0.013 ± 0.004, P = 0.002); on verbal fluency among older women (>50y,γ01 = −0.037 ± 0.013, P = 0.004) and on executive function: overall (γ01 = +0.62 ± 0.21, P = 0.004), older men (>50y, γ01 = +1.69 ± 0.53, P = 0.001) and African-Americans (γ01 = +0.84 ± 0.28, P = 0.002). Albumin was linked to slower attention decline among older men (>50y, γ11 = +0.329 ± 0.103, P = 0.009), over-time improvement in executive function overall (γ11 = −6.00 ± 2.26, P = 0.008), and better baseline psychomotor speed among African-Americans (γ01 = +0.56 ± 0.19, P = 0.003). Finally, ICS predicted faster decline on visual memory/visuo-constructive abilities among older men (>50y, γ11 = +0.17 ± 0.06, p = 0.003).Conclusion: In sum, strong associations between systemic inflammation and longitudinal cognitive performance were detected, largely among older individuals (>50y) and African-Americans. Randomized trials targeting inflammation are warranted

The Impact of Patient-Centered Care on Older Adults with Chronic Conditions

Problem: The world has experienced a demographic change in the distribution of population towards older ages. At the same time, the global burden of disease is shifting from infectious diseases to non-communicable diseases. The objective of this study is to investigate the impact of patient-centered care (PCC) for older adults with chronic conditions, and to add evidence of its effects on the process of care and health outcomes. Methods: Data came from the nationally representative Medical Expenditure Panel Survey Household Component (MEPS-HC). The full-year consolidated data files 2009 through 2013 were pooled to yield sample sizes of 16,654. Study outcomes included the receipt of ten types of preventive care services, patient perceived physical health status, mental health status, hospitalization and ER visits. Prevalence rates for each of outcome variables were calculated. Odds ratios were estimated from multiple logistic regression models that compared the likelihood of outcome variables across key exposures, after controlling for individual and institutional factors. Differences were assessed among the patient groups who received the PCC, partial PCC or non-PCC. Findings: In unadjusted analyses, PCC and partial PCC patients reported higher proportion of receiving each of the eight preventive screenings, the two types of health education, and perceiving good physical and mental health status. The result of each comparison was significant at P<0.05. Even after control for individual and institutional characteristics, the PCC group was still found to be more likely than the non-PCC group to receive nine types of preventive care services and perceive good physical and mental health status, and the partial PCC group was found to be more likely than the non-PCC group to receive eight types of preventive screenings and perceive good physical and mental health status. No associations were found between the PCC status and hospitalization as well as ER visits. Conclusions: Our study reveals significant associations between the status of the PCC and the receipt of preventive care services as well as perceiving good health status. Our findings suggest that the PCC demonstrates the potential to improve preventive care use and health outcomes for the vulnerable older adults with chronic conditions

Evaluation and Application of Urban Traffic Signal Optimizing Control Strategy Based on Reinforcement Learning

Reinforcement learning method has a self-learning ability in complex multidimensional space because it does not need accurate mathematical model and due to the low requirement for prior knowledge of the environment. The single intersection, arterial lines, and regional road network of a group of multiple intersections are taken as the research object on the paper. Based on the three key parameters of cycle, arterial coordination offset, and green split, a set of hierarchical control algorithms based on reinforcement learning is constructed to optimize and improve the current signal timing scheme. However, the traffic signal optimization strategy based on reinforcement learning is suitable for complex traffic environments (high flows and multiple intersections), and the effects of which are better than the current optimization methods in the conditions of high flows in single intersections, arteries, and regional multi-intersection. In a word, the problem of insufficient traffic signal control capability is studied, and the hierarchical control algorithm based on reinforcement learning is applied to traffic signal control, so as to provide new ideas and methods for traffic signal control theory

Housing and Adult Health: Evidence from Chinese General Social Survey (CGSS)

Housing is one of the social determinants of health and the most basic survival needs of human beings. Many studies have preliminarily confirmed that housing factors can influence residents&rsquo; health. The aims of this study were: to evaluate the housing factors associated with self-rated health and mental health among Chinese residents; to explore the regional heterogeneity of the impact of housing on health; and to assess the effects of housing on health among different age groups. Data was derived from the Chinese General Social Survey (CGSS). Housing factors were analyzed along six dimensions: housing property, living space, number of living people, number of houses, living region and housing price. Self-rated health and mental health were used to measure health outcomes. Multivariate ordered logistic regression was performed to assess the relationship between housing and health. The living space, living region and housing price was significantly associated with self-rated health. The number of living people living region and housing price were related to mental health. The influence of housing factors on health were more pronounced among residents living in eastern and central area and among the middle-aged group (41&ndash;65). Present findings support the notion that housing factors were related to health outcomes. Future studies may focus on the impact of interventions that target on these factors, and the impact of housing on health among special groups such as migrant population and low-and-middle income families