Impact of Comorbidities on Survival in Gastric, Colorectal, and Lung Cancer Patients

Geriatric assessment domains to predict overall survival in older cancer patients: An analysis of functional status, comorbidities, and nutritional status as prognostic factors

Cancer treatments for older patients must account for heterogeneity in health and functional status. Guidelines advocate the use of geriatric assessments (GAs), but comprehensive assessments are laborious and the utility of specific GA domains remains unclear. The identification of specific domains as prognostic factors may support survival predictions and treatment decisions. We aimed to evaluate the associations between several GA domains and overall survival in older cancer patients. We linked cancer registry data and administrative claims data from cancer patients residing in Osaka Prefecture, Japan. The subjects were patients aged ≥70 years who received a diagnosis of gastric, colorectal, or lung cancer between 2010 and 2014 at 36 designated cancer care hospitals. The following three GA domains were assessed at cancer diagnosis: functional status through activities of daily living (ADL), comorbidities, and nutritional status through body mass index. Cox proportional hazards models were constructed for the three cancer types to estimate each domain's prognostic effect while adjusting for gender, age, and cancer stage. Adjusted hazard ratios (HRs) for all-cause mortality were calculated. We identified 5,559, 4,746, and 4,837 patients with gastric, colorectal, and lung cancer respectively. ADL impairment (HRs: 1.39-3.34, 1.64-2.86, and 1.24-3.21 for gastric, colorectal, and lung cancer, respectively), comorbidities (1.32-1.58, 1.33-1.97, and 1.19-1.29 for gastric, colorectal, and lung cancer, respectively), and underweight (1.36, 1.51, and 1.54 for gastric, colorectal, and lung cancer, respectively) were significantly associated with poorer overall survival. In contrast, overweight was significantly associated with improved overall survival (HRs: 0.82 and 0.89 for gastric and lung cancer respectively). The addition of the three domains increased the models' C-statistics (0.816 to 0.836, 0.764 to 0.787, and 0.759 to 0.783 for gastric, colorectal, and lung cancer respectively). Incorporating these factors into initial patient evaluations during diagnosis may aid prognostic predictions and treatment strategies in geriatric oncology.

Diffuse Reduction of Spleen Density Is an Independent Predictor of Post-Operative Outcomes After Curative Gastrectomy in Gastric Cancer: A Multi-Center Study

Objectives: The present study aimed to explore the association between spleen density and post-operative outcomes of patients after curative gastrectomy.

Methods: From June 2014 to December 2015, we conducted a retrospective study to analyze pertinent clinical data from gastric cancer patients who underwent gastrectomy at the First and the Second Affiliated Hospital of Wenzhou Medical University. Spleen density was determined via computed tomography scans. Univariate and multivariate analyses were performed to determine the risk factors associated with post-operative outcomes after gastric cancer surgery.

Results: Three hundred and ninety five patients were included, of whom 98 (24.8%) were defined as having a diffuse reduction of spleen density based on diagnostic cutoff values (spleen density ≤43.89 HU). Multivariate analysis revealed diffuse reduction of spleen density as an independent risk factor for post-operative complications and long-term overall survival.

Conclusions: Spleen density can predict severe postoperative complications and long-term overall survival in gastric cancer patients. As an imaging evaluation method, spleen density is a novel tool can be used in clinical as a prognostic predictor for patients with gastric cancer.

Burden of multimorbidity and polypharmacy among cancer survivors: a population-based nested case-control study

PURPOSE

Individuals living with cancer have been shown to have a higher burden of comorbid disease and multimorbidity in comparison to their cancer-free counterparts consequently, leaving them at risk of polypharmacy (i.e., ≥ 5 medications) and its potential negative effects. The primary aim of the current study was to examine the self-reported prevalence of and association between multimorbidity and prescription medication use in a population-based sample of adult cancer survivors (CS).

METHODS

This retrospective, nested case-control study drew participant data from the Atlantic Partnership for Tomorrow's Health cohort. CS (n = 1708) were matched to 4 non-cancer controls (n = 6832) by age and sex. Prevalence of polypharmacy by number of chronic conditions and age was estimated with 95% CI. Logistic regression was used to examine the association between multimorbidity and polypharmacy while adjusting for sociodemographic and lifestyle factors. The comorbidity-polypharmacy score was also calculated as an estimate of disease burden.

RESULTS

Multimorbidity was common in both CS (53%) and non-cancer controls (43%); however, a significantly higher percentage of CS reported multimorbidity (p < 0.001). Prescription medication use was also found to be significantly higher among CS (2.3 ± 2.6) compared to non-cancer controls (1.8 ± 2.3; p < 0.0001). Exploratory comorbidity-polypharmacy score analyses indicated that CS had a significantly higher overall disease burden than the age/sex-matched non-cancer controls.

CONCLUSIONS

As CS appear to be at a higher risk of multimorbidity and polypharmacy and by extension, increased healthcare burden, ongoing education on the prevention of medication-related harm, and interventions to reduce the occurrence of both co-morbid disease and unnecessary medications are warranted.

Survival Status and Predictors of Mortality Among Colorectal Cancer Patients in Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia: A Retrospective Followup Study

Colorectal cancer is one of the commonest cancer types that has a great public health impact both in developed and developing countries. However, in Ethiopia, the survival status of colorectal cancer patients was not well understood. Therefore, the aim of this study was to determine the survival status and predictors of mortality among colorectal cancer patients in Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia in 2019. The institution-based retrospective follow-up study was conducted with 621 subjects who were selected from patients registered between January 1, 2013 and December 30, 2017 with follow-up until December 30th, 2018. Data were collected from patient record review charts. A Kaplan-Meier analysis with a log-rank test, and bivariate and multivariable analysis using the Cox proportional hazard model were used. Of the 621 colorectal cancer patients who were included in the analysis, 202 (32.5%) died. The overall mortality rate was 20.3% per year (95% CI: 17.7-23.3). The overall survival was 18.1% with median survival time of 34.8 months (95% CI: 30.4-36.8). Comorbidity (adjusted hazard ratio [AHR] = 1.8, 95% CI: 1.3-2.5); stage (II [AHR = 3.8, 95% CI: 1.3-11.1], III [AHR = 8.0, 95% CI: 2.8-23.3], IV [AHR = 17.6, 95% CI: 6.1-50.7]); smoking (AHR = 1.6, 95% CI: 1.1-2.3); alcohol consumption (AHR = 1.5, 95% CI: 1.07-2.2); age ≥ 70 (AHR = 1.7, 95% CI: 1.02-2.9); and marital status (married [AHR = 2.4, 95% CI: 1.5-3.8], widowed [AHR = 2.4, 95% CI: 1.2-4.6], divorced [AHR = 2.0, 95% CI: 1.1-3.7]) were significant predictors of colorectal cancer mortality. It is crucial to implement early detection and screening, giving priority to rural dweller, comorbid patients and advanced stage diagnosed patients.

Effect of adjuvant chemotherapy on survival benefit in stage III colon cancer patients stratified by age: a Japanese real-world cohort study

Background

Adjuvant chemotherapy is relatively underused in older patients with colon cancer in Japan, and its age-specific effects on clinical outcomes remain unclear. This study aimed to assess the effect of adjuvant chemotherapy on survival benefit in stage III colon cancer patients stratified by age in a Japanese real-world setting.

Methods

In this multi-center retrospective cohort study, we analyzed patient-level information through a record linkage of population-based cancer registry data and administrative claims data. The study population comprised patients aged ≥18 years who received a pathological diagnosis of stage III colon cancer and underwent curative resection between 2010 and 2014 at 36 cancer care hospitals in Osaka Prefecture, Japan. Patients were divided into two groups based on age at diagnosis (< 75 and ≥ 75 years). The effect of adjuvant chemotherapy was analyzed using Cox proportional hazards regression models for all-cause mortality with inverse probability weighting of propensity scores. Adjusted hazard ratios were estimated for both age groups.

Results

A total of 783 patients were analyzed; 476 (60.8%) were aged < 75 years and 307 (39.2%) were aged ≥75 years. The proportion of older patients who received adjuvant chemotherapy (36.8%) was substantially lower than that of younger patients (73.3%). In addition, the effect of adjuvant chemotherapy was different between the age groups: the adjusted hazard ratio was 0.56 (95% confidence interval: 0.33–0.94, P = 0.027) in younger patients and 1.07 (0.66–1.74, P = 0.78) in older patients.

Conclusions

The clinical effectiveness of adjuvant chemotherapy in older patients with stage III colon cancer appears limited under current utilization practices.

Predicting overall and major postoperative morbidity in gastric cancer patients

BACKGROUND

Postoperative complications after gastric cancer resection vary in different series and they might have a significant impact in long-term outcomes. Our aim was to build a prediction rule on gastric cancer patients' overall and major morbidity risks.

METHODS

This retrospective study included 1223 patients from a single center who were resected between 1992 and 2016. Overall and major morbidity predictors were identified through multiple logistic regression. Models' performances were assessed through discrimination, calibration, and cross-validation, and nomograms were constructed.

RESULTS

The mean age was 61.3-year old and the male gender was more frequent (60%). The most common comorbidities were hypertension (HTN), diabetes, and chronic obstructive pulmonary disease (COPD). A D2-distal gastrectomy was the most frequent procedure and 87% of all lesions were located in the middle or distal third. Age, COPD, coronary heart disease, chronic liver disease, pancreatic resection, and operative time were independent predictors of overall and major morbidity. The extent of resection and splenectomy was associated with overall events and HTN with major ones. Both models were very effective in predicting events among patients at higher risk.

CONCLUSIONS

The overall and major morbidity models and nomograms included clinical- and surgical-related data that were very effective in predicting events, especially for high-risk patients.