scholarly journals Are there sex differences among colorectal cancer patients in treatment and survival? A Swiss cohort study

2021 ◽  
Vol 147 (5) ◽  
pp. 1407-1419
Author(s):  
Manuela Limam ◽  
Katarina Luise Matthes ◽  
Giulia Pestoni ◽  
Eleftheria Michalopoulou ◽  
Leonhard Held ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Regression Models ◽  
Proportional Hazards ◽  
Treatment Decision ◽  
Tumor Stage ◽  
Primary Treatment ◽  
Cox Proportional Hazards ◽  
Men And Women ◽  
Logistic Regression Models ◽  
Comorbidity Index

Abstract Background Colorectal cancer (CRC) is among the three most common incident cancers and causes of cancer death in Switzerland for both men and women. To promote aspects of gender medicine, we examined differences in treatment decision and survival by sex in CRC patients diagnosed 2000 and 2001 in the canton of Zurich, Switzerland. Methods Characteristics assessed of 1076 CRC patients were sex, tumor subsite, age at diagnosis, tumor stage, primary treatment option and comorbidity rated by the Charlson Comorbidity Index (CCI). Missing data for stage and comorbidities were completed using multivariate imputation by chained equations. We estimated the probability of receiving surgery versus another primary treatment using multivariable binomial logistic regression models. Univariable and multivariable Cox proportional hazards regression models were used for survival analysis. Results Females were older at diagnosis and had less comorbidities than men. There was no difference with respect to treatment decisions between men and women. The probability of receiving a primary treatment other than surgery was nearly twice as high in patients with the highest comorbidity index, CCI 2+, compared with patients without comorbidities. This effect was significantly stronger in women than in men (p-interaction = 0.010). Survival decreased with higher CCI, tumor stage and age in all CRC patients. Sex had no impact on survival. Conclusion The probability of receiving any primary treatment and survival were independent of sex. However, female CRC patients with the highest CCI appeared more likely to receive other therapy than surgery compared to their male counterparts.

Association of co-medication quality with chemotherapy-related adverse drug reactions and survival in older colorectal cancer patients

2021 ◽  
Author(s):  
Li-Ju Chen ◽  
Thi Ngoc Mai Nguyen ◽  
Dana Clarissa Laetsch ◽  
Jenny Chang-Claude ◽  
Michael Hoffmeister ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Patients ◽  
Adverse Drug Reactions ◽  
Proportional Hazards ◽  
Inappropriate Medication ◽  
Medication Management ◽  
Cox Proportional Hazards ◽  
Potentially Inappropriate Medication ◽  
Drug Reactions ◽  
Logistic Regression Models

Abstract Background Evidence about the clinical relevance of appropriate co-medication among older colorectal cancer (CRC) patients is sparse. Methods A cohort study was conducted with 3,239 CRC patients aged 65 years and older. To assess co-medication quality, we calculated the total Fit fOR The Aged (FORTA) score and its sub-scores for medication overuse, underuse, and potentially inappropriate medication use. Multivariable Cox proportional hazards or logistic regression models were performed to evaluate the association of co-medication quality with up to 5-year overall survival, CRC-specific survival, and chemotherapy-related adverse drug reactions (ADRs). Results Overall, 3,239 and 1,209 participants were included in analyses on survival and ADRs, respectively. The hazard ratios [95%-confidence intervals] for the total FORTA score ≥ 7 vs. 0-1 points were 1.83 [1.40-2.40] and 1.76 [1.22-2.52] for up to 5-year overall and CRC-specific survival, respectively. Worse up to 5-year OS and CSS was also evident for FORTA sub-scores for PIM use and overuse whereas no association was observed for underuse. Although results for the total FORTA and potentially inappropriate medication score were much stronger among patients receiving chemotherapy, no significant associations with chemotherapy-related ADRs were observed. Moreover, associations were particularly strong among men and rectal cancer patients as compared to women and colon cancer patients. Conclusions Poor total co-medication quality was significantly associated with worse up to 5-year overall and CRC-specific survival. Randomized controlled trials are needed to test whether improved cancer co-medication management in older CRC patients prolongs survival.

Abstract P370: Opioid and Gabapentinoid Medication Use and the Risks of Atrial Fibrillation and Supraventricular Ectopy in the Multi-ethnic Study of Atherosclerosis

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Barbara N Harding ◽  
Kerri Wiggins ◽  
Paul Jensen ◽  
Bruce M Psaty ◽  
Susan R Heckbert ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Regression Models ◽  
Proportional Hazards ◽  
Cardiovascular Effects ◽  
Cox Proportional Hazards ◽  
Ecg Monitoring ◽  
Opioid Use ◽  
Cross Sectional ◽  
Ethnic Study ◽  
Logistic Regression Models

Purpose: Opioids and gabapentinoids may have adverse cardiovascular effects. We evaluated whether these medications were associated with incident clinically-detected atrial fibrillation (AF) or monitor-detected supraventricular ectopy (SVE), including premature atrial contractions (PACs) and supraventricular tachycardia (SVT). Methods: We used data from the Multi-Ethnic Study of Atherosclerosis (MESA), a cohort study that enrolled 6,814 Americans without clinically-detected cardiovascular disease (CVD) in 2000-2002. At the 2016-2018 examination, a subset of participants received extended ambulatory electrocardiographic (ECG) monitoring with a device that records up to 14 days of continuous data. Longitudinal analyses investigated time-varying medication exposures at 5 exams (through 2012) and the risk of incident clinically-detected AF through 2015 using Cox proportional hazards regression models. Cross-sectional analyses investigated medication exposures at the 2016-2018 examination and the risk of monitor-detected SVE using linear and logistic regression models. Methods: The longitudinal cohort included 6,652 participants. Opioid and gabapentenoid use increased over time (Figure). During 12.4 years of mean follow-up, 961 participants (14.4%) experienced incident AF. Opioid use and gabapentinoid use were not associated with the risk of incident AF compared with no use. The cross-sectional analysis included 1,435 participants with ECG monitoring. Compared with non-use, gabapentinoid use was associated with an 84% greater count of PACs/hour (95% CI, 25%-171%) and with a 44% greater average number of runs of SVT/day (95% CI, 3%-100%) but not with a higher odds of SVT. No associations were found with use of opioids in cross-sectional analyses. Conclusions: In this study, gabapentinoid use was associated with more SVE. Given the rapid increase in gabapentinoid use, additional studies are needed to clarify whether these medications increase the risk of CVD complications.

scholarly journals Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study

2021 ◽  
Vol 18 (15) ◽  
pp. 7734
Author(s):  
Nasrin Borumandnia ◽  
Hassan Doosti ◽  
Amirhossein Jalali ◽  
Soheila Khodakarim ◽  
Jamshid Yazdani Charati ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Family History ◽  
Clinical Decision Making ◽  
Proportional Hazards ◽  
Clinical Decision ◽  
Tumor Stage ◽  
Cox Proportional Hazards ◽  
National Study ◽  
Historical Cohort

Background: Colorectal cancer (CRC) is the third foremost cause of cancer-related death and the fourth most commonly diagnosed cancer globally. The study aimed to evaluate the survival predictors using the Cox Proportional Hazards (CPH) and established a novel nomogram to predict the Overall Survival (OS) of the CRC patients. Materials and methods: A historical cohort study, included 1868 patients with CRC, was performed using medical records gathered from Iran’s three tertiary colorectal referral centers from 2006 to 2019. Two datasets were considered as train set and one set as the test set. First, the most significant prognostic risk factors on survival were selected using univariable CPH. Then, independent prognostic factors were identified to construct a nomogram using the multivariable CPH regression model. The nomogram performance was assessed by the concordance index (C-index) and the time-dependent area under the ROC curve. Results: The age of patients, body mass index (BMI), family history, tumor grading, tumor stage, primary site, diabetes history, T stage, N stage, and type of treatment were considered as significant predictors of CRC patients in univariable CPH model (p < 0.2). The multivariable CPH model revealed that BMI, family history, grade and tumor stage were significant (p < 0.05). The C-index in the train data was 0.692 (95% CI, 0.650–0.734), as well as 0.627 (0.670, 0.686) in the test data. Conclusion: We improved a novel nomogram diagram according to factors for predicting OS in CRC patients, which could assist clinical decision-making and prognosis predictions in patients with CRC.

scholarly journals Prognostic Discrimination of Alternative Lymph Node Classification Systems for Patients with Radically Resected Non-Metastatic Colorectal Cancer: A Cohort Study from a Single Tertiary Referral Center

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3898
Author(s):  
Dimitrios Prassas ◽  
Pablo Emilio Verde ◽  
Carlo Pavljak ◽  
Alexander Rehders ◽  
Sarah Krieg ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Lymph Node ◽  
Metastatic Colorectal Cancer ◽  
Regression Models ◽  
Proportional Hazards ◽  
Continuous Variable ◽  
Cox Proportional Hazards ◽  
Classification Systems ◽  
Tertiary Referral Center ◽  
Node Classification

Background: Lymph node ratio (LNR) and the Log odds of positive lymph nodes (LODDS) have been proposed as a new prognostic indicator in surgical oncology. Various studies have shown a superior discriminating power of LODDS over LNR and lymph node category (N) in diverse cancer entities, when examined as a continuous variable. However, for each of the classification systems various cut-off values have been defined, with the question of the most appropriate for patients with CRC still remaining open. The present study aimed to compare the predictive impact of different lymph node classification systems and to define the best cut-off values regarding accurate evaluation of overall survival in patients with resectable, non-metastatic colorectal cancer (CRC). Methods: CRC patients who underwent surgical resection from 1996 to 2018 were extracted from our medical data base. Cox proportional hazards regression models and C-statistics were performed to assess the discriminative power of 25 LNR and 26 LODDS classifications. Regression models were adjusted for age, sex, extent of the tumor, differentiation, tumor size and localization. Results: Our study group consisted of 654 consecutive patients with non-metastatic CRC. C-statistic revealed 2 LNR and 5 LODDS classifications that demonstrated superior prognostic performance in patients with UICC III CRC, compared to the N category. No clear advantage of one classification over another could be demonstrated in any other patient subgroup. Conclusions: Distinct LNR and LODDS classifications demonstrate a prognostic superiority over the N category only in patients with Stage III radically resected CRC.

scholarly journals The Association Between Triglyceride-Glucose Index, Cardio-Cerebrovascular Diseases, and Death in Korean Adults: A Longitudinal Study Based on the NHIS-HEALS Cohort

2021 ◽  
Author(s):  
Joungyoun Kim ◽  
Sang-jun Shin ◽  
Hee-Taik Kang
Keyword(s):  
Regression Models ◽  
Proportional Hazards ◽  
Cerebrovascular Diseases ◽  
Cox Proportional Hazards ◽  
Men And Women ◽  
Tyg Index ◽  
Proportional Hazards Regression ◽  
Hazard Ratios ◽  
Triglyceride Glucose Index ◽  
All Cause Mortality

Abstract Background: The triglyceride-glucose (TyG) index is a reliable indicator of insulin resistance. We aimed to investigate the TyG index in relation to cardio-cerebrovascular diseases (CCVDs) and mortality.Methods: This retrospective study included 114,603 subjects. The TyG index was categorized into four quartile groups by sex: Q1, <8.249 and <8.063; Q2, 8.249 ‒ <8.614 and 8.063 ‒ <8.403; Q3, 8.614 ‒ < 8.998 and 8.403 ‒ <8.752; and Q4, ≥8.998 and ≥8.752, in men and women, respectively. To calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the primary outcomes (CCVDs and all-cause mortality), Cox proportional hazards regression models were adopted.Results: Compared to Q1, fully adjusted HRs (95% CIs) for the primary outcomes of Q2, Q3, and Q4 were 1.063 (0.982‒1.152), 1.112 (1.026‒1.206), and 1.153 (1.060‒1.254) in men and 1.099 (0.986‒1.226), 1.049 (0.941‒1.169), and 1.069 (0.960‒1.190) in women, respectively. HRs (95% CIs) for cardiovascular diseases (CVDs) of Q2, Q3, and Q4 were 1.117 (0.971‒1.285), 1.191 (1.036‒1.369), and 1.237 (1.071‒1.427) in men and 1.239 (1.018‒1.509), 1.188 (0.976‒1.446), and 1.248 (1.027‒1.517) in women, respectively. Conclusions: The elevated TyG index were was positively associated with CCVDs and all-cause mortality in men and predicted the higher risk of CVDs in both sexes.

Association between primary tumor site, perioperative CEA ratio, smoking status, and overall survival in patients with colorectal cancer.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15156-e15156
Author(s):  
Thomas A Odeny ◽  
Nicole Farha ◽  
Hannah Hildebrand ◽  
Jessica Allen ◽  
Wilfred Vazquez ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Multivariate Analysis ◽  
Proportional Hazards ◽  
Smoking Status ◽  
Tumor Stage ◽  
Tumor Location ◽  
Cox Proportional Hazards ◽  
P Value ◽  
Primary Tumor Site

e15156 Background: There are differences in the incidence, clinical presentation, molecular pathogenesis and outcome of colorectal cancer (CRC) based on tumor location. Emerging research suggests that perioperative carcinoembryonic antigen (CEA) ratio (post-op/pre-op CEA) is a prognostic factor for CRC patients. We aimed to determine the association between tumor location, CEA ratio, smoking status and overall survival (OS) among patients with CRC. Methods: We analysed 323 patients who underwent resection for CRC at KUMC. After excluding those without pre- or post-operative CEA data, 162 patients were classified as either high ( > = 0.5) or low ( < 0.5) ratio. Primary outcomes were: 1) OS stratified by tumor location; 2) OS stratified by CEA ratio; and 3) whether the association between CEA ratio and OS differed by tumor location, after adjusting for stage and smoking status. Kaplan-Meier method was used to estimate survival rates, and Cox proportional hazards models for multivariate analysis. Results: The median age was 63 years (inter-quartile range 53-72), 61% male, 43% smokers, 73% left-sided tumors, median pre-operative CEA was 3.0 (IQR 1.5-7), and 64% had CEA ratio > = 0.5. The OS rates were 85.7% and 91.9% in patients with left-sided vs right-sided tumors respectively (log-rank p-value = 0.9). The OS rates were 83.5% and 91.5% in patients with high vs low CEA ratios respectively (log-rank p-value = 0.3). The effect of CEA ratio on OS was significantly different when stratified by tumor location (p-value for interaction < 0.001). However, in the stratified analysis, the n was too small to permit further inferential analysis. In multivariate analysis, both tumor location (HR 0.6; p = 0.5) and CEA ratio (HR 1.5; p = 0.5) were not significantly associated with OS after adjusting for smoking status and tumor stage. Smoking was significantly associated with higher rates of death (HR 3.9; p = 0.04) when adjusted for tumor location, CEA ratio, and tumor stage. Conclusions: There was no difference in OS between left versus right-sided tumors. The association between CEA ratio and OS was significantly modified by tumor location. However, to attribute this modification to left vs right warrants validation in a larger cohort as our sample size was limited. Smoking increases mortality irrespective of right vs left sided CRC.

scholarly journals Quantitative assessment of erector spinae muscles and prognosis in elderly patients with pneumonia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hiroki Yoshikawa ◽  
Kosaku Komiya ◽  
Takashi Yamamoto ◽  
Naoko Fujita ◽  
Hiroaki Oka ◽  
...  
Keyword(s):  
Elderly Patients ◽  
Hospital Mortality ◽  
Regression Models ◽  
Proportional Hazards ◽  
Community Acquired Pneumonia ◽  
Cox Proportional Hazards ◽  
Erector Spinae ◽  
Cross Sectional ◽  
Proportional Hazards Regression ◽  
Survivor Group

AbstractErector spinae muscle (ESM) size has been reported as a predictor of prognosis in patients with some respiratory diseases. This study aimed to assess the association of ESM size on all-cause in-hospital mortality among elderly patients with pneumonia. We retrospectively included patients (age: ≥ 65 years) admitted to hospital from January 2015 to December 2017 for community-acquired pneumonia who underwent chest computed tomography (CT) on admission. The cross-sectional area of the ESM (ESMcsa) was measured on a single-slice CT image at the end of the 12th thoracic vertebra and adjusted by body surface area (BSA). Cox proportional hazards regression models were used to assess the influence of ESMcsa/BSA on in-hospital mortality. Among 736 patients who were admitted for pneumonia, 702 patients (95%) underwent chest CT. Of those, 689 patients (98%) for whom height and weight were measured to calculate BSA were included in this study. Patients in the non-survivor group were significantly older, had a greater frequency of respiratory failure, loss of consciousness, lower body mass index, hemoglobin, albumin, and ESMcsa/BSA. Multivariate analysis showed that a lower ESMcsa/BSA independently predicted in-hospital mortality after adjusting for these variables. In elderly patients with pneumonia, quantification of ESMcsa/BSA may be associated with in-hospital mortality.

Female hormonal exposures and risk of rheumatoid arthritis in the French E3N-EPIC cohort study

Rheumatology ◽  
2021 ◽  
Author(s):  
Carine Salliot ◽  
Yann Nguyen ◽  
Gaëlle Gusto ◽  
Amandine Gelot ◽  
Juliette Gambaretti ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Prospective Cohort ◽  
Regression Models ◽  
Proportional Hazards ◽  
Cox Regression ◽  
Cox Proportional Hazards ◽  
Smoking History ◽  
Nulliparous Women ◽  
Hormonal Exposures ◽  
Incident Cases

Abstract Objective To assess the relationships between female hormonal exposures and risk of rheumatoid arthritis (RA), in a prospective cohort of French women. Methods E3N is an on-going French prospective cohort that included 98 995 women aged 40–65 years in 1990. Every 2–3 years, women completed mailed questionnaires on their lifestyles, reproductive factors, and health conditions. Cox proportional-hazards regression models were used to determine factors associated with risk of incident RA, with age as the time scale, adjusted for known risk factors of RA, and considering endogenous and exogenous hormonal factors. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated. Effect modification by smoking history was investigated. Results A total of 698 incident cases of RA were ascertained among 78 452 women. In multivariable-adjusted Cox regression models, risk of RA was increased with early age at first pregnancy (&lt;22 vs ≥27 years; HR = 1.34; 95%CI 1.0–1.7) and menopause (≤45 vs ≥53 years; HR = 1.40; 95%CI 1.0–1.9). For early menopause, the association was of similar magnitude in ever and never smokers, although the association was statistically significant only in ever smokers (HR = 1.54; 95%CI 1.0–2.3). We found a decreased risk in nulliparous women never exposed to smoking (HR = 0.44; 95%CI 0.2–0.8). Risk of RA was inversely associated with exposure to progestogen only in perimenopause (&gt;24 vs 0 months; multi-adjusted HR = 0.77; 95%CI 0.6–0.9). Conclusions These results suggest an effect of both endogenous and exogenous hormonal exposures on RA risk and phenotype that deserves further investigation.

A Motion of No Confidence: Leadership and Rebel Fragmentation

2020 ◽  
Vol 5 (4) ◽  
pp. 598-616 ◽  
Author(s):  
Austin C Doctor
Keyword(s):  
Civil War ◽  
Proportional Hazards ◽  
Original Data ◽  
Cox Proportional Hazards ◽  
Stage I ◽  
Logistic Regression Models ◽  
Structure And Agency ◽  
Rebel Groups ◽  
Cox Proportional Hazards Models ◽  
War Experiences

Abstract Why do rebel organizations splinter into competing factions during civil war? To explain this outcome, I leverage variation in rebel leadership. I argue that rebel leaders draw on their pre-war experiences—i.e., their military and political experiences—to manage their organizations during conflict. These experiences bear unique patterns of rebel management and, thus, corresponding risks of fragmentation. Empirical evidence comes from a two-stage research design and original data featuring over 200 rebel leaders from 1989 to 2014. In the first stage, I estimate the probability of group fragmentation with a series of logistic regression models. In the second stage, I use Cox proportional-hazards models to estimate leadership effects on the rate of group fragmentation. Results indicate that variation in rebel leadership corresponds with unique risks of fragmentation. In particular, the results suggest that leaders with real military experience are best equipped to maintain group cohesion. This study offers insight into the processes by which rebel groups splinter into armed factions. In addition, it makes an important contribution to the broader discussion on the roles of structure and agency in shaping the dynamics of civil war.

Sign in / Sign up

Export Citation Format

Share Document