scholarly journals Incidence and Risk Factors for Cerebrovascular-Specific Mortality in Patients with Colorectal Cancer: A Registry-Based Cohort Study Involving 563298 Patients

2021 ◽  
Author(s):  
Wei Huang ◽  
Ming Tang ◽  
Yun-Liang Chen ◽  
Tao-Lan Zhang ◽  
Tao Hong ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Risk Model ◽  
Multivariate Survival ◽  
Specific Mortality ◽  
Male Patients ◽  
Standardized Mortality Ratios ◽  
Competing Causes ◽  
The Relationship

Background: Colorectal cancer (CRC) is one of the most prevalent diseases and the second leading cause of death worldwide. However, the relationship between CRC and cerebrovascular-specific mortality (CVSM) remains elusive and less is known about the influencing factors associated with CVSM in CRC. Here, we aimed to analyze the incidence as well as the risk factors of CVSM in CRC. Methods: Patients with a primary CRC diagnosed between 1973 and 2015 were identified from Surveillance Epidemiology and End Results database with follow-up data available until 31 December 2016. Conditional standardized mortality ratios were calculated to compare the incidence of CVSM between CRC patients and the general US population. Univariate and multivariate survival analyses with a competing risk model were used to interrogate the risk factors for CVSM. Results: A total of 563298 CRC individuals were included. The CVSM in CRC patients was significantly higher than the general population in all age subgroups. Among competing causes of death in patients, the cumulative mortality caused by cerebrovascular-specific diseases steadily increased during study period. While age and surgery positively influenced CVSM on both univariate and multivariate analyses, male patients and those who had radiotherapy, chemotherapy, more recent year (2001-2015) of diagnosis as well as multiple primary or distant tumors experienced a lower risk of CVSM. Interpretation: Our data suggest a potential role for CRC in the incidence of CVSM and also identify several significant predictors of CVSM, which may be helpful for risk stratification and therapeutic optimization of cerebrovascular-specific diseases in CRC patients.

scholarly journals Oncological evaluation in the perioperative period using cfDNA with BRAF V600E mutation in patients with colorectal cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Keita Tanaka ◽  
Yoichiro Yoshida ◽  
Teppei Yamada ◽  
Takaomi Hayashi ◽  
Hideki Shimaoka ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Perioperative Period ◽  
Radical Resection ◽  
Braf V600e ◽  
Tumor Diameter ◽  
Prognostic Information ◽  
A Prospective Study ◽  
Digital Polymerase Chain Reaction ◽  
The Relationship

AbstractThe detection of circulating cell-free DNA (cfDNA) by liquid biopsy is reported to provide prognostic information in colorectal cancer (CRC). Although the frequency of BRAF V600E mutation in CRC is less than 10%, it is associated with poor responses to conventional chemotherapy. We conducted a prospective study to investigate the relationship between the perioperative mutant allele frequency (MAF) of BRAF V600E and tumor recurrence, and to evaluate the possibility of early detection of recurrence. Among 362 patients who underwent radical resection, cfDNA was extracted from the perioperative blood of 11 CRC patients with BRAF V600E mutation and analyzed using the digital polymerase chain reaction (dPCR) system. The median follow-up time was 22 months, and there were four cases of recurrence. Although there was no correlation between recurrence and the perioperative MAF of BRAF V600E, tumor diameter was correlated with the MAF (p = 0.024), and the MAF increased with time in two patients from whom additional samples were obtained prior to recurrence. In this study, we identified a correlation between the pathological tumor diameter and the MAF, but it was difficult to predict recurrence by measuring cfDNA with BRAF V600E mutation in the perioperative period of radical resection of CRC.

Impact of the Bag Exchange Procedure on Risk of Peritonitis

2010 ◽  
Vol 30 (4) ◽  
pp. 440-447 ◽  
Author(s):  
Jie Dong ◽  
Yuan Chen
Keyword(s):  
Risk Factors ◽  
Peritoneal Dialysis ◽  
Cox Regression ◽  
Face Mask ◽  
First Episode ◽  
Independent Risk Factors ◽  
Randomized Control ◽  
The Relationship ◽  
Control Study

ObjectiveWe studied whether improper bag exchange predicts the first peritonitis episode in continuous ambulatory peritoneal dialysis (CAPD) patients.Patients and MethodsOur single-center prospective observational study of 130 incident urban CAPD patients who started peritoneal dialysis (PD) between March 2005 and August 2008 aimed to determine the relationship between bag exchange procedures examined at the 6th month of PD and risk for a first peritonitis episode. All patients were followed until a first peritonitis episode, censoring, or the end of the study.ResultsThese 130 patients experienced 22 first peritonitis episodes during the 14-month follow-up. During bag exchange evaluation, 51.5% of patients washed their hands improperly, 46.2% failed to check expiration date or bag leakage, and 11.5% forgot to wear a face mask and cap. Patients experiencing peritonitis were more likely to forget to wear a face mask and cap. In multivariate Cox regression model, not wearing a face mask and cap [hazard ratio (HR): 7.26; 95% confidence interval (CI): 2.6 to 20.1; p < 0.001] and having anemia (HR: 0.96; 95% CI: 0.94 to 0.99; p = 0.005) were independent risk factors for a first episode of peritonitis.ConclusionsNot wearing a face mask and cap and having anemia were independent risk factors for peritonitis. A further randomized control study needs to verify the correlation between improper bag exchange technique and peritonitis in PD patients.

scholarly journals Circulating Proangiogenic Cell Activity Is Associated with Cardiovascular Disease Risk

2012 ◽  
Vol 17 (9) ◽  
pp. 1163-1170 ◽  
Author(s):  
Kreton Mavromatis ◽  
Konstantinos Aznaouridis ◽  
Ibhar Al Mheid ◽  
Emir Veledar ◽  
Saurabh Dhawan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Bone Marrow ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Cell Activity ◽  
Atherosclerotic Cardiovascular Disease ◽  
Cvd Risk ◽  
The Relationship

Vascular injury mobilizes bone marrow–derived proangiogenic cells into the circulation, where these cells can facilitate vascular repair and new vessel formation. We sought to determine the relationship between a new biomarker of circulating bone marrow–derived proangiogenic cell activity, the presence of atherosclerotic cardiovascular disease (CVD) and its risk factors, and clinical outcomes. Circulating proangiogenic cell activity was estimated using a reproducible angiogenic colony-forming unit (CFU-A) assay in 532 clinically stable subjects aged 20 to 90 years and ranging in the CVD risk spectrum from those who are healthy without risk factors to those with active CVD. CFU-A counts increased with the burden of CVD risk factors ( p < 0.001). CFU-A counts were higher in subjects with symptomatic CVD than in those without ( p < 0.001). During follow-up of 232 subjects with CVD, CFU-A counts were higher in those with death, myocardial infarction, or stroke than in those without (110 [70–173] vs 84 [51–136], p = 0.01). Therefore, we conclude that circulating proangiogenic cell activity, as estimated by CFU-A counts, increases with CVD risk factor burden and in the presence of established CVD. Furthermore, higher circulating proangiogenic cell activity is associated with worse clinical outcome in those with CVD.

Serum procalcitonin levels predict disseminated intravascular coagulation in patients with sepsis shock: A retrospective cohort study

2020 ◽  
Author(s):  
Guang Fu ◽  
Xi-si He ◽  
Hao-li Li ◽  
Hai-chao Zhan ◽  
Jun-fu Lu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Septic Shock ◽  
Cohort Study ◽  
Disseminated Intravascular Coagulation ◽  
Area Under The Curve ◽  
Multivariable Logistic Regression Model ◽  
Intravascular Coagulation ◽  
The Relationship ◽  
Conventional Risk Factors

Abstract Background Complication of disseminated intravascular coagulation (DIC) is a determinant of the prognosis in patients with sepsis shock. Procalcitonin (PCT) has been advocated as a marker of bacterial sepsis. The purpose of this study was to evaluate the relationship between serum PCT levels and DIC with sepsis shock Methods A cohort study was designed which included patients that admitted in intensive care unit (ICU) between January 1, 2015 and December 31, 2018 and the follow-up to discharge. 164 septic shock patients were divided into DIC and non-DIC groups according to international society of thrombosis and homeostasis (ISTH). PCT was measured at the admission to ICU, and all the participants received routine biochemical coagulation test subsequently. Results PCT levels were considerably higher in septic shock patients who developed DIC than those who did not (54.6[13.6–200]vs12.6[2.4–53.3]ng/ml), respectively, P < 0.001). Multivariable logistic regression model revealed that PCT level was significantly associated with risk of DIC independent of conventional risk factors. In addition, curve fitting showed a linear relationship between PCT and DIC score. The Receiver Operating characteristic(ROC) curve suggested that the optimal cut-off point for PCT to predicting DIC induced by septic shock was 42.0 ng/ml, and the area under the curve (AUC) was 0.701(95% CI [0.619–0.784], P < 0.001). More importantly, incorporating PCT with other risk factors into the prediction model significantly increased the AUC for prediction of DIC induced by sepsis shock (0.801vs 0.706; P = 0.012). Conclusions Our study suggests that PCT levels on admission is significantly and independently associated with DIC development subsequently with septic shock, combining PCT levels with other risk factors could significantly improve the prediction of DIC induced by sepsis shock.

P1755Plasma proteomics in healthy individuals predict myocardial infarction

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
R Hoogeveen ◽  
J P Belo Pereira ◽  
V Zampoleri ◽  
M J Bom ◽  
W Koenig ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Plasma Proteins ◽  
Risk Model ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Traditional Risk Factors

Abstract Background Currently used models to predict cardiovascular event risk have limited value. It has been shown repetitively that the addition of single biomarkers has modest impact. Recently we observed that a model consisting of a larger array of plasma proteins performed very well in predicting the presence of vulnerable plaques in primary prevention patients. However, the validation of this protein panel in predicting cardiovascular outcomes remains to be established. Purpose This study investigated the ability of a 384 preselected protein biomarkers to predict acute myocardial infarction, using state-of-the-art machine learning techniques. Secondly, we compared the performance of this multi-protein risk model to traditional risk engines. Methods We selected 822 subjects from the EPIC-Norfolk prospective cohort study, of whom 411 suffered a myocardial infarction during follow-up (median 15 years) compared to 411 controls who remained event-free (median follow-up 20 years). The 384 proteins were measured using proximity extension assay technology. Machine learning algorithms (random forests) were used for the prediction of acute myocardial infarction (ICD code I21–22). Performance of the model was tested against and on top of traditional risk factors for cardiovascular disease (refit Framingham). All performance measurements were averaged over several stability selection routines. Results Prediction of myocardial infarction using a machine-learning model consisting of 50 plasma proteins resulted in a ROC AUC of 0.74±0.14, in comparison to 0.69±0.17 using traditional risk factors (refit Framingham. Combining the proteins and refit Framingham resulted in a ROC AUC of 0.74±0.15. Focussing on events occurring within 3 years after baseline blood withdrawal, the ROC AUC increased to 0.80±0.09 using 50 plasma proteins, as opposed to 0.67±0.22 using refit Framingham (figure). Combining the protein model with refit Framingham resulted in a ROC AUC of 0.82±0.11 for these events. Diagnostic performance events <3yrs Conclusion High-throughput proteomics outperforms traditional risk factors in prediction of acute myocardial infarction. Prediction of myocardial infarction occurring within 3 years after inclusion showed highest performance. Availability of affordable proteomic approaches and developed machine learning pave the path for clinical implementation of these models in cardiovascular risk prediction. Acknowledgement/Funding This study was funded by an ERA-CVD grant (JTC2017) and EU Horizon 2020 grant (REPROGRAM, 667837)

scholarly journals The Relationship Between Anxiety and Incident Agitation in Alzheimer’s Disease

2020 ◽  
Vol 78 (3) ◽  
pp. 1119-1127
Author(s):  
Kathy Y. Liu ◽  
Harry Costello ◽  
Suzanne Reeves ◽  
Robert Howard ◽  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Regression Models ◽  
Mixed Effects ◽  
Neuropsychiatric Symptom ◽  
Positive Linear Relationship ◽  
Potential Risk Factors ◽  
The Relationship

Background: Agitation in Alzheimer’s disease (AD) has been hypothesized to be an expression of anxiety, but whether anxiety early in the course of dementia could be a risk factor for developing later agitation is unknown. Objective: We used the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database to examine the longitudinal relationship between anxiety and incident agitation in individuals with a diagnosis of AD at baseline or during follow-up. Methods: Longitudinal neuropsychiatric symptom data from AD individuals who were agitation-free at study baseline (N = 272) were analyzed using mixed effects regression models to test the longitudinal relationship between baseline and incident anxiety with incident agitation. Results: Anxiety at baseline was not associated with subsequent agitation, but there was a positive linear relationship between incident anxiety and agitation over the study duration. Baseline apathy and delusions were consistently associated with subsequent agitation and greater disease severity and illness duration also appeared to be risk factors for agitation. Conclusion: Our findings support the concept that anxiety and agitation are likely to be distinct rather than equivalent constructs in mild-moderate AD. Future longitudinal cohort studies are needed to replicate these findings and further characterize potential risk factors for agitation, such as apathy and delusions.

Locally advanced colorectal cancer: Is a second look surgery and prophylactic HIPEC warranted?

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e15056-e15056 ◽  
Author(s):  
Rahul Bhamre ◽  
Jay Rashmi Anam ◽  
Manish Bhandare ◽  
Avanish Saklani
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
High Risk ◽  
Advanced Colorectal Cancer ◽  
Locally Advanced ◽  
Peritoneal Recurrence ◽  
High Risk Factors ◽  
Second Look ◽  
Locally Advanced Colorectal Cancer

e15056 Background: Peritoneal recurrence/carcinomatosis (PC) after curative surgery for colorectal cancer is the second most common site of recurrence and carries a poor prognosis. PC present relatively in the later stage, are difficult to detect by conventional imaging on follow up, and have limited options to treat after diagnosis. Second look surgery is the only definite option to diagnose early PC and presents an opportunity for disease control by cytoreductive surgery (CRS) and HIPEC. Multiple studies have attempted to identify clinico-pathological risk factors that predict high chances of PC. Our aim is to analyze the recurrence patterns and survival in locally advanced colorectal cancer, in an attempt to identify high risk factors for PC, which can be used as an indication for second look surgery and prophylactic HIPEC in such cases. Methods: Retrospective analysis of a prospectively maintained data of all colorectal cancer patients presenting to a tertiary cancer care referral center in India, from May 2010 to October 2015 was done. All patients who underwent surgery with curative intent and were clinico-pathological stage T4 and/or N2 M0 were included in the analysis. Results: 182 patients underwent curative resection with a clinico-pathological staging of T4 and/or N2 M0. There were 71 recurrences, out of which 30 (42.2%) were peritoneal, 7 (9.9%) were hepatic only while 34 (47.9 %) were non-hepatic systemic or multiple site. For a median follow up of 26 months, the estimated 3 year OS was 78 % while the 3 year DFS was 50.4 %. The median time to diagnosis of peritoneal recurrence was 13 months (4.7 – 55.7). The 3-year OS for patients with peritoneal recurrence was 48.6 % as against 57 % for liver only recurrence and 59.9 % for non liver systemic and multiple site recurrence, with a trend towards poorer survival for peritoneal recurrences, although non-significant (p – 0.377). Conclusions: Locally advanced colorectal cancer has a high risk of peritoneal recurrence which negatively impacts the survival. Well-designed RCTs need to be conducted to identify the high risk factors for PC and whether second look surgery and prophylactic HIPEC in such patients will improve survival with acceptable morbidity and mortality.

The relationship between statins and breast cancer prognosis varies by statin type and exposure time: A meta-analysis.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e21606-e21606
Author(s):  
Binliang Liu ◽  
Zongbi Yi ◽  
Xiuwen Guan ◽  
Fei Ma ◽  
Yi-Xin Zeng
Keyword(s):  
Breast Cancer ◽  
Protective Effect ◽  
Breast Cancer Prognosis ◽  
Cancer Prognosis ◽  
All Cause Mortality ◽  
Specific Mortality ◽  
Cancer Specific Mortality ◽  
The Relationship ◽  
Statin Use

e21606 Background:Breast cancer is the most common cancer in females. The effects of statins on breast cancer prognosis have long been controversial, so it is important to investigate the relationship between statin type, exposure time, and breast cancer prognosis. This study sought to explore the effect of statins on breast cancer prognosis. Methods:We searched the MEDLINE, EMBASE, Cochrane Library between October 15, 2016 and January 20, 2017. Searches combined the terms “breast neoplasms[MeSH]”, “statins”, “prognosis” or “survival” or “mortality” with no limit on publication date. Data were analyzed using Stata/SE 11.0. Results: 7 studies finally met the selection criteria and 197,048 included women. Overall statin use was associated with lower cancer-specific mortality and all-cause mortality (HR 0.73, 95% CI 0.59-0.92, P = 0.000 and HR 0.72, 95% CI 0.58-0.89, P = 0.000). Lipophilic statins were associated with decreased breast cancer-specific and all-cause mortality (HR 0.57, 95% CI 0.46-0.70, P = 0.000 and HR 0.57, 95% CI 0.48-0.69, P = 0.000); however, hydrophilic statins were weakly protective against only all-cause mortality (HR 0.79, 95% CI 0.65-0.97, P = 0.132) and not breast cancer-specific mortality (HR 0.94, 95% CI 0.76-1.17, P = 0.174). Of note, more than four years of follow-up did not show a significant correlation between statin use and cancer-specific mortality or all-cause mortality (HR 0.84, 95% CI 0.71-1.00, P = 0.616 and HR 0.95, 95% CI 0.75-1.19, P = 0.181), while groups with less than four years of follow-up still showed the protective effect of statins against cancer-specific mortality and all-cause mortality (HR 0.62, 95% CI 0.44-0.87, P = 0.000 and HR 0.61, 95% CI 0.45-0.80, P = 0.000). Conclusions:Although statins can reduce breast cancer patient mortality, the benefit appears to be constrained by statin type and follow-up time. Lipophilic statins showed a strong protective function in breast cancer patients, while hydrophilic statins only slightly improved all-cause mortality. Finally, the protective effect of statins could only be observed in groups with less than four years of follow-up.

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