The impact of comorbidity and stage on ovarian cancer mortality: a nationwide Danish cohort study

An assessment of the prevalence of drug therapy problems and its associated factors among ovarian cancer patients at Kenyatta National Hospital

IntroductionDespite several studies in various cancers reporting a high prevalence of drug therapy problems (DTPs), there is a notable scarcity of comprehensive data addressing DTPs among patients with an ovarian cancer diagnosis. This study aimed to assess DTPs among those patients at Kenyatta National Hospital.MethodsA retrospective cohort study was used to assess the prevalence of DTPs among all 100 eligible patients with an ovarian cancer diagnosis. This research used a data abstraction tool to gather ovarian patients' data on drug therapy problems. The statistical package for Social Science version 20.0 software was used for data entry and analysis. The findings were presented using frequency tables, percentages and figures.ResultsThe mean age of the study population was 51.2 ± 15.1 with a bigger population being above 50 years (57.0%). The prevalent histological type of ovarian cancer was epithelial ovarian cancer (79.0%) followed by sex cord-stromal ovarian cancer (13%) and germ cell ovarian cancer (8%) which was least prevalent. A total of 175 DTPs were identified with the most prevalent being adverse drug reactions (40.6%) and drug non-adherence (17.1%). The number of medications used and stage of ovarian cancer as statistically significant predictors of DTP.ConclusionThe prevalence of DTPs was high and the most prevalent DTP was adverse drug reactions. The number of medications used and the stage of ovarian cancer were statistically significant predictors of DTP. Hence, regular medication reviews and robust pharmacovigilance systems should be implemented to detect and manage DTPs effectively.

'I was eager to do anything I could to improve the situation': a qualitative study of patients' experiences and views of prehabilitation for ovarian cancer surgery

BACKGROUND

Prehabilitation has shown promise in improving post-operative outcomes for several solid tumour groups. However, prehabilitation programmes are not widely established. Patients with advanced ovarian cancer experience life changing debulking surgery and could benefit from prehabilitation. This study aims to explore the views, experiences, facilitators and barriers surrounding prehabilitation in a demographically diverse cohort of advanced ovarian cancer patients. This would help to inform an acceptable patient-centred working programme model for a diverse group of patients.

METHODS

Purposive, maximum variation sampling was used to recruit a diverse sample of women, due to undergo or following primary debulking surgery for advanced ovarian cancer, from two cancer centres in London. Semi-structured interviews were either conducted face to face or by telephone. All recordings were transcribed verbatim and analysed using thematic analysis.

RESULTS

Twenty-one participants were interviewed. Twelve were prehabilitation 'naïve' and nine had participated in the Marsden Integrated Lifestyle and Exercise programme (MILE). The age range was 46-76 years and 8/21 participants were of Black, Asian or Mixed heritage. Factors influencing engagement with prehabilitation can be categorised under four major emerging themes [1] Mindset [2] Actual preparation [3] Support system [4] Delivery of prehabilitation.

CONCLUSION

Patients with ovarian cancer welcome the concept of prehabilitation, however a blanket approach is not suitable to meet the needs of a demographically diverse cohort. The components of prehabilitation must be tailored to individual needs, with attention to existing mindset and support systems, building on preparations that women are already making for surgery and offering flexible delivery options.

Clinical Remission Rates in Patients With Epithelial Ovarian Cancer Before and After the Onset of the COVID 19 Pandemic in an Integrated Healthcare Delivery System

Purpose

Evidence on the impact of the coronavirus disease 2019 (COVID-19) pandemic on outcomes in patients with ovarian cancer patients is limited. We compared remission outcomes in patients with ovarian cancer before and during the pandemic.

Patients and Methods

This retrospective cohort study included patients diagnosed with epithelial ovarian cancer between 01/01/2017 and 06/30/2021 at Kaiser Permanente Southern California. Pre and post pandemic periods were designated using March 4, 2020, as the cut-off. Stage I-IV patients who completed chemotherapy and/or surgery as first-line treatment were included. Data on remission outcomes (complete and clinical remission) were abstracted by manual chart reviews. Complete remission was defined as no evidence of disease; clinical remission included both complete and partial response to treatment. Modified Poisson regression was used to evaluate the association of pandemic and remission. Effect modification by race/ethnicity was evaluated.

Results

Of 748 ovarian cancer patients included, 72.7% and 27.3% patients were diagnosed before and during the pandemic, respectively. Complete remission was observed in 75.7% and 73.5% patients before and during the pandemic, respectively (p = 0.53). No statistically significant association of pandemic period with remission outcomes was observed in the adjusted models. However, race/ethnicity modified the association of pandemic period with complete remission (p-value < 0.01). White patients, but not other racial/ethnic groups, were 13% more likely to achieve complete remission during the pandemic than during the pre-pandemic [adjusted rate ratio (95% confidence interval): 1.13 (1.00-1.28)].

Conclusion

Patients diagnosed with ovarian cancer achieved similar complete and clinical remission rates before and during the pandemic. Association of the pandemic period with complete remission varied for White vs non-White patients.

An assessment of survival outcomes among ovarian cancer patients at the National and Referral Hospital in Kenya

BACKGROUND

Ovarian cancer has been shown to have poor survival outcomes attributed to late presentation. In Kenya, information on the survival outcomes of ovarian cancer patients is scarce. Therefore, the objective of this study was to examine the survival outcomes among patients with ovarian cancer treated at Kenyatta National Hospital (KNH).

AIMS

A hospital-based retrospective cohort study was performed at KNH to examine the survival outcomes of 112 ovarian cancer patients. The study employed a structured data abstraction tool to acquire patients' relevant socio-demographic and clinical characteristics from the patient's medical records. The data obtained were analyzed using SPSS version 29.0 statistical software. Kaplan-Meier and Cox regression analyses were used to determine the survival outcome and predictors of mortality among ovarian cancer patients, respectively.

METHODS AND RESULTS

The mean age of the patients in this study was 51.28 ± 14.24 years. Most patients (59.8%) had evidence of distant metastasis during the follow-up period. One-third (33%) of patients were deceased. The mean-cancer-specific survival time among the study participants was 40.0 ± 3.0 months. The 5-year survival rate was 44%, with most patients experiencing disease progression during the last follow-up. Combination therapy (p < .001) was the only statistically significant predictor of mortality in ovarian cancer patients.

CONCLUSION

The study found that the 5-year survival rate among ovarian cancer patients was poor, with most patients experiencing disease progression during the last follow-up period.

Long-term risks of coronary heart disease and cerebrovascular disease in ovarian, uterine and cervical cancer survivors: a nationwide study in Korea

Only few studies have evaluated the incidence of coronary heart disease (CHD) and cerebrovascular disease (CVD) among gynaecologic cancer survivors. We selected 26,880 gynaecologic cancer patients who underwent health check-ups within 2 years after diagnosis using the Korean National Health Insurance Service Database. They were compared with 79,830 non-cancer controls. Cox regression models were used to estimate hazard ratios (HRs). There was no significant relationship between gynaecologic cancer survivors and CHD or CVD events. However, 10 years after diagnosing cancers, the risk of angina increased in cancer survivors (adjusted HR = 1.193, 95% CI: 1.013-1.406). After 1 year of diagnosis, cancer patients with no initial comorbidities showed an increased risk of all CHD and CVD events (adjusted HR = 1.101, 95% CI: 1.020-1.189) and CHD alone (adjusted HR = 1.168, 95% CI: 1.055-1.293) compared with controls. CHD risk was also higher in the cancer group with no comorbidities after 10 years of diagnosis (adjusted HR = 1.284, 95% CI: 1.020-1.615). Overall, the risk of CHD or CVD did not increase in gynaecologic cancer survivors. However, cancer patients without any comorbidities showed a higher risk of CHD compared with control, the risk persisting until 10 years after cancer diagnosis.Impact StatementWhat is already known on this subject? Cardiovascular risk and the incidence of stroke increase after cancer diagnosis.What do the results of this study add? The risk of coronary heart disease (CHD) and cerebrovascular disease did not increase in Asian (especially Korean) gynaecologic cancer survivors compared with the general population. However, cancer patients without any comorbidities showed a higher risk of CHD compared with the non-cancer population.What are the implications of these findings for clinical practice and/or further research? Our results imply the importance of surveillance of cardiovascular risks among patients with gynaecologic cancer without comorbidities.

Impact of the Area of Residence of Ovarian Cancer Patients on Overall Survival

Survival disparities persist in ovarian cancer and may be linked to the environments in which patients live. The main objective of this study was to analyze the global impact of the area of residence of ovarian cancer patients on overall survival. The data were obtained from the Surveillance, Epidemiology and End Results (SEER) database. We included all the patients with epithelial ovarian cancers diagnosed between 2010 and 2016. The areas of residence were analyzed by the hierarchical clustering of the principal components to group similar counties. A multivariable Cox proportional hazards model was then fitted to evaluate the independent effect of each predictor on overall survival. We included a total of 16,806 patients. The clustering algorithm assigned the 607 counties to four clusters, with cluster 1 being the most disadvantaged and cluster 4 having the highest socioeconomic status and best access to care. The area of residence cluster remained a statistically significant independent predictor of overall survival in the multivariable analysis. The patients living in cluster 1 had a risk of death more than 25% higher than that of the patients living in cluster 4. This study highlights the importance of considering the sociodemographic factors within the patient's area of residence when developing a care plan and follow-up.

A Cohort Study: Comorbidity and Stage Affected the Prognosis of Melanoma Patients in Taiwan

Background

Comorbidities and stages may influence the prognosis of melanoma patients in Taiwan and need to be determined.

Methods

We performed a retrospective cohort study by using the national health insurance research database in Taiwan. Patients with a primary diagnosis of melanoma by the Taiwan Cancer Registry from 2009 to 2017 were recruited as the study population. The comparison group was never diagnosed with melanoma from 2000 to 2018. The Charlson comorbidity index was conducted to calculate the subjects’ disease severity. The Cox proportional hazards model analysis was used to estimate the hazard ratio of death.

Results

We selected 476 patients, 55.5% of whom had comorbidity. A higher prevalence of comorbidity was associated with a more advanced cancer stage. The mortality rate increased with an increasing level of comorbidity in both cohorts and was higher among melanoma patients. The interaction between melanoma and comorbidity resulted in an increased mortality rate.

Conclusion

An association between poorer survival and comorbidity was verified in this study. We found that the level of comorbidity was strongly associated with mortality. A higher risk of mortality was found in patients who had localized tumors, regional metastases, or distant metastases with more comorbidity scores. Advanced stage of melanoma patients with more comorbidities was significantly associated with the higher risk of mortality rate.

Statin use and survival among women with ovarian cancer: an Australian national data-linkage study

BACKGROUND

Five-year ovarian cancer survival rates are below 50%; there is considerable interest in whether common medications like statins may improve survival.

METHODS

We identified women diagnosed with ovarian cancer in Australia from 2003 to 2013 through the Australian Cancer Database and linked these records to national medication and death databases. We used Cox proportional hazards regression to estimate hazard ratios (HR) and confidence intervals (CI) for associations between statins and survival.

RESULTS

Pre-diagnosis statin use was not associated with survival overall but was associated with better survival among women with endometrioid cancers. Statin use after diagnosis was associated with better ovarian cancer-specific survival (OVS, HR = 0.87, 95%CI 0.81-0.94), but this association was largely restricted to women who started using statins after their cancer diagnosis (OVS HR = 0.68, 0.57-0.81 vs. HR = 0.94, 0.87-1.01 for continuing users). The association was strongest for endometrioid cancers (OVS HR = 0.48, 0.29-0.77).

CONCLUSIONS

Use of statins may confer a survival benefit for women with ovarian cancer but it is impossible to rule out bias in observational studies. Particularly problematic are reverse causation where disease status affects statin use, confounding by indication and the absence of data for women with normal cholesterol levels. A randomised trial is required to provide definitive evidence.

The Role of Artificial Intelligence in Managing Multimorbidity and Cancer

Traditional healthcare paradigms rely on the disease-centered approach aiming at reducing human nature by discovering specific drivers and biomarkers that cause the advent and progression of diseases. This reductive approach is not always suitable to understand and manage complex conditions, such as multimorbidity and cancer. Multimorbidity requires considering heterogeneous data to tailor preventing and targeting interventions. Personalized Medicine represents an innovative approach to address the care needs of multimorbid patients considering relevant patient characteristics, such as lifestyle and individual preferences, in opposition to the more traditional “one-size-fits-all” strategy focused on interventions designed at the population level. Integration of omic (e.g., genomics) and non-strictly medical (e.g., lifestyle, the exposome) data is necessary to understand patients’ complexity. Artificial Intelligence can help integrate and manage heterogeneous data through advanced machine learning and bioinformatics algorithms to define the best treatment for each patient with multimorbidity and cancer. The experience of an Italian research hospital, leader in the field of oncology, may help to understand the multifaceted issue of managing multimorbidity and cancer in the framework of Personalized Medicine.

Non-cancer death causes after ovarian cancer diagnosis: A population-based cohort

BACKGROUND

Research on non-cancer death causes in ovarian cancer (OC) patients remains limited. We aim to focus on and evaluate the non-cancer death causes after OC diagnosis.

METHODS

We studied 82 590 OC patients diagnosed between 2000 and 2016, using the Surveillance, Epidemiology, and End Results (SEER) Program. Risks of death causes were calculated as standardized mortality ratios.

RESULTS

Of included patients, 48 125 (58.3%) died during the follow-up period. The highest number of deaths, 21 722 (45.1%), occurred within 1-5 years after OC diagnosis. On the other hand, 19 992 (41.5%) of deaths occurred within a year from ovary cancer diagnosis, 5255 (10.9%) occurred within 5-10 years, and 1156 (2.4%) deaths occurred after more than 10 years following OC diagnosis. Non-cancer death causes comprise a significant percentage of deaths in OC patients, increasing with time after diagnosis.

CONCLUSIONS

Cardiac diseases, cerebrovascular diseases, and COPD were among the most common non-cancer death causes after OC diagnosis. Other critical non-cancer death causes include septicemia and benign neoplasms. Mortality risk differences based on race and age were also highlighted. These findings provide critical insights into how OC survivors should be followed-up and counseled for relevant future health risks.

Incidence of venous thromboembolism after standard treatment in patients with epithelial ovarian cancer in Korea

Background

Venous thromboembolism (VTE) is a hospital‐associated severe complication that may adversely affect patient prognosis. In this study, we evaluated the incidence of VTE and its risk factors in patients with epithelial ovarian cancer (EOC).

Methods

We retrospectively analyzed the electronic health record data of 1268 patients with EOC who received primary treatment at the National Cancer Center, Korea between January 2007 and December 2017 to identify patients who developed VTE. Demographic, clinical, and surgical characteristics of these patients were ascertained. Competing risks analyses were performed to estimate the cumulative incidence of VTE according to the treatment type. The associations between putative risk factors and the incidence of VTE were evaluated using the Fine–Gray regression models accounting for competing risks of death.

Results

VTE was the most prevalent cardiovascular event, found in 9.6% (n = 122) of all patients. Of these VTE events, 115 (94.3%) occurred within 2 years of EOC diagnosis. Advanced cancer stage at diagnosis (distant vs. localized, hazards ratio [HR])= 14.49, p = 0.015) and extended hospital stay (≥15 days, HR =3.87, p = 0.004) were associated with the incidence of VTE. There was no significant difference in the cumulative incidence of VTE between primary cytoreductive surgery followed by adjuvant chemotherapy and neoadjuvant chemotherapy followed by interval cytoreductive surgery (HR =0.81, p = 0.390).

Conclusions

Approximately 10% of patients with EOC were diagnosed with VTE, which was the most common cardiovascular disease found in this study. The assessment of VTE risks in patients with advanced‐stage EOC with an extended hospital stay is needed to facilitate adequate prophylactic treatment.

Age-adjusted charlson comorbidity index and 30-day morbidity in pelvic surgeries

Introduction:

Charlson comorbidity index (CCI) is a validated tool enabling clinicians for prediction of adverse events posttherapy. In this study, we planned to estimate the predictive value of age-adjusted CCI (ACCI) in assessing the perioperative complication in oncological patients undergoing major pelvic surgeries.

Methods:

This was a single arm, prospective, observational study, in which adult patients with pelvic malignancies undergoing pelvic surgeries were selected. The relationship between the ACCI and Grade 3–5 adverse events were tested using Fisher's test.

Results:

The rate of Grade 3–5 adverse event rate was 16.7% (11 patients, n = 66). Among the whole cohort, 11 patients (16.7%) had high score on ACCI. The rate of Grade 3–5 adverse events was higher in the cohort of patients with high ACCI score (45.5% vs. 10.9%, P = 0.014). The sensitivity, specificity and negative and positive predictive values were 45.5%, 89.1%, 89.1%, and 45.5%, respectively.

Conclusion:

ACCI can predict for postsurgical adverse events. It has a high negative predictive value for nonoccurrence of adverse events.

Exploring international differences in ovarian cancer treatment: a comparison of clinical practice guidelines and patterns of care

INTRODUCTION

The International Cancer Benchmarking Partnership demonstrated international differences in ovarian cancer survival, particularly for women aged 65-74 with advanced disease. These findings suggest differences in treatment could be contributing to survival disparities.

OBJECTIVE

To compare clinical practice guidelines and patterns of care across seven high-income countries.

METHODS

A comparison of guidelines was performed and validated by a clinical working group. To explore clinical practice, a patterns of care survey was developed. A questionnaire regarding management and potential health system-related barriers to providing treatment was emailed to gynecological specialists. Guideline and survey results were crudely compared with 3-year survival by 'distant' stage using Spearman's rho.

RESULTS

Twenty-seven guidelines were compared, and 119 clinicians completed the survey. Guideline-related measures varied between countries but did not correlate with survival internationally. Guidelines were consistent for surgical recommendations of either primary debulking surgery or neoadjuvant chemotherapy followed by interval debulking surgery with the aim of complete cytoreduction. Reported patterns of surgical care varied internationally, including for rates of primary versus interval debulking, extensive/'ultra-radical' surgery, and perceived barriers to optimal cytoreduction. Comparison showed that willingness to undertake extensive surgery correlated with survival across countries (rs=0.94, p=0.017). For systemic/radiation therapies, guideline differences were more pronounced, particularly for bevacizumab and PARP (poly (ADP-ribose) polymerase) inhibitors. Reported health system-related barriers also varied internationally and included a lack of adequate hospital staffing and treatment monitoring via local and national audits.

DISCUSSION

Findings suggest international variations in ovarian cancer treatment. Characteristics relating to countries with higher stage-specific survival included higher reported rates of primary surgery; willingness to undertake extensive/ultra-radical procedures; greater access to high-cost drugs; and auditing.

Risk of chemotherapy-induced febrile neutropenia in patients with metastatic cancer not receiving granulocyte colony-stimulating factor prophylaxis in US clinical practice

Objectives

To evaluate the use of granulocyte colony-stimulating factor (G-CSF) prophylaxis in US patients with selected metastatic cancers and chemotherapy-induced febrile neutropenia (FN) incidence and associated outcomes among the subgroup who did not receive prophylaxis.

Methods

This retrospective cohort study was conducted at four US health systems and included adults with metastatic cancer (breast, colorectal, lung, non-Hodgkin lymphoma [NHL]) who received myelosuppressive chemotherapy (2009–2017). Patients were stratified by FN risk level based on risk factors and chemotherapy (low/unclassified risk, intermediate risk without any risk factors, intermediate risk with ≥ 1 risk factor [IR + 1], high risk [HR]). G-CSF use was evaluated among all patients stratified by FN risk, and FN/FN-related outcomes were evaluated among patients who did not receive first-cycle G-CSF prophylaxis.

Results

Among 1457 metastatic cancer patients, 20.5% and 28.1% were classified as HR and IR + 1, respectively. First-cycle G-CSF prophylaxis use was 48.5% among HR patients and 13.9% among IR + 1 patients. In the subgroup not receiving first-cycle G-CSF prophylaxis, FN incidence in cycle 1 was 7.8% for HR patients and 4.8% for IR + 1 patients; during the course, corresponding values were 16.9% and 15.9%. Most (> 90%) FN episodes required hospitalization, and mortality risk ranged from 7.1 to 26.9% across subgroups.

Conclusion

In this retrospective study, the majority of metastatic cancer chemotherapy patients for whom G-CSF prophylaxis is recommended did not receive it; FN incidence in this subgroup was notably high. Patients with elevated FN risk should be carefully identified and managed to ensure appropriate use of supportive care.

Electronic supplementary material

The online version of this article (10.1007/s00520-020-05715-3) contains supplementary material, which is available to authorized users.

A Single Centre Randomised Control Study to Assess the Impact of Pre-Operative Carbohydrate Loading on Women Undergoing Major Surgery for Epithelial Ovarian Cancer

Objective Historically, patients have fasted before elective surgery to ensure an empty stomach to avoid aspiration. A fasting-induced catabolic state however may adversely influence recovery after surgery. Our study was designed to test the effect of oral carbohydrate loading on clinical parameters in patients undergoing major surgery for advanced-stage ovarian cancer. Methods A double-blinded single-centre randomised trial was designed to recruit 110 patients with advanced-stage epithelial ovarian cancer undergoing either primary surgery, or neoadjuvant chemotherapy prior to debulking surgery. Following written informed consent, the patients were randomised into two groups. Group 1 received the carbohydrate drink (intervention) and group 2 received flavoured water (placebo). The quantity of fluid in both groups was 800ml the night before the surgery and 400ml two hours before the induction of anaesthesia. The primary endpoint of the study was the Length of Hospital Stay (LoHS); the secondary parameters assessed were pain scores, nausea and vomiting scores, bowel function, and postoperative complication rate. Results Between March 2009 and December 2011, 80 patients were randomised and 75 completed the study. A decision was made to close the trial early as a change in routine clinical practice meant that patients were admitted on the day of surgery rather than a day before. Analysis of the data revealed that there were no significant differences between the study groups in terms of LoHS and other clinical parameters. Conclusion In this single-center study, which failed to recruit the planned number of patients, we were unable to demonstrate that oral carbohydrate intake pre-operatively has significant impact on the recovery process or the length of hospitalisation postoperatively. Future studies should examine all aspects of an Enhanced Recovery Program after Surgery as a package as compared to a single element to enhance patient outcome.

Do all patients with recurrent ovarian cancer need systemic therapy?

The scientific organizing committee of the 12th International Symposium on Advanced Ovarian Cancer: Optimal Therapy. Update proposed the question regarding whether all patients with recurrent ovarian cancer (ROC) need systemic therapy. This article has addressed this question and focused on the clinical scenarios in which the benefits of systemic therapy in patients with ROC are limited, including the frail elderly and patients with multiple medical comorbidities, as well as a subset of patients with platinum-resistant ovarian cancer who have a particularly poor prognosis with a short survival. The challenges of identifying and selecting which patients are unlikely to benefit from systemic therapy were addressed. The benefit of systemic therapy also can be questioned in specific histological subtypes of ROC such as low-grade serous cancers as well as clear cell and mucinous cancers in view of low response rates. Finally, the contentious question regarding the timing of chemotherapy in asymptomatic patients with CA 125 disease progression after response to first-line chemotherapy was addressed and an argument made challenging the current treatment paradigm. Clearly, not all patients with ROC need or should be offered systemic therapy, and ultimately the recommendations need to be based on evidence and communicated in a clear and sensitive manner to patients and their families.

Impact of Rurality on Stage IV Ovarian Cancer at Diagnosis: A Midwest Cancer Registry Cohort Study

PURPOSE

We aim to understand if rurality impacts patients' odds of presenting with stage IV ovarian cancer at diagnosis independent of distance to primary care provider and the socioeconomic status of a patient's residential census tract.

METHODS

A cohort of 1,000 women with ovarian cancer in Iowa, Kansas, and Missouri were sampled and analyzed from the cancer registries' statewide population data. The sample contained those with a histologically confirmed primary ovarian cancer diagnosis in 2011-2012. All variables were captured through an extension of standard registry protocol using standardized definitions and abstraction manuals. Chi-square tests and a multivariable logistic regression model were used.

FINDINGS

At diagnosis, 111 women in our sample had stage IV cancer and 889 had stage I-III. Compared to patients with stage I-III cancer, patients with stage IV disease had a higher average age, more comorbidities, and were more often living in rural areas. Multivariate analysis showed that rural women (vs metropolitan) had a greater odds of having stage IV ovarian cancer at diagnosis (odds ratio = 2.41 and 95% confidence interval = 1.33-4.39).

CONCLUSION

Rural ovarian cancer patients have greater odds of having stage IV cancer at diagnosis in Midwestern states independent of the distance they lived from their primary care physician and the socioeconomic status of their residential census tract. Rural women's greater odds of stage IV cancer at diagnosis could affect treatment options and mortality. Further investigation is needed into reasons for these findings.

Improving management of comorbidity in patients with colorectal cancer using comprehensive medical assessment: a pilot study

BACKGROUND

Screening for and active management of comorbidity soon after cancer diagnosis shows promise in altering cancer treatment and outcomes for comorbid patients. Prior to a large multi-centre study, piloting of the intervention (comprehensive medical assessment) was undertaken to investigate the feasibility of the comorbidity screening tools and proposed outcome measures, and the feasibility, acceptability and potential effect of the intervention.

METHODS

In this pilot intervention study, 72 patients of all ages (36 observation/36 intervention) with newly diagnosed or recently relapsed colorectal adenocarcinoma were enrolled and underwent comorbidity screening and risk stratification. Intervention patients meeting pre-specified comorbidity criteria were referred for intervention, a comprehensive medical assessment carried out by geriatricians. Each intervention was individually tailored but included assessment and management of comorbidity, polypharmacy, mental health particularly depression, functional status and psychosocial issues. Recruitment and referral to intervention were tracked, verbal and written feedback were gathered from staff, and semi-structured telephone interviews were conducted with 13 patients to assess screening tool and intervention feasibility and acceptability. Interviews were transcribed and analysed thematically. Patients were followed for 6-12 months after recruitment to assess feasibility of proposed outcome measures (chemotherapy uptake and completion rates, grade 3-5 treatment toxicity, attendance at hospital emergency clinic, and unplanned hospitalisations) and descriptive data on outcomes collated.

RESULTS

Of the 29 intervention patients eligible for the intervention, 21 received it with feedback indicating that the intervention was acceptable. Those in the intervention group were less likely to be on 3+ medications, to have been admitted to hospital in previous 12 months, or to have limitations in daily activities. Collection of data to measure proposed outcomes was feasible with 55% (6/11) of intervention patients completing chemotherapy as planned compared to none (of 14) of the control group. No differences were seen in other outcome measures. Overall the study was feasible with modification, but the intervention was difficult to integrate into clinical pathways.

CONCLUSIONS

This study generated valuable results that will be used to guide modification of the study and its approaches prior to progressing to a larger-scale study.

TRIAL REGISTRATION

Retrospective, 26 August 2019, ACTRN12619001192178.

Ovarian cancer suspicion, urgent referral and time to diagnosis in Danish general practice: a population-based study

BACKGROUND

Ovarian cancer (OC) survival rates are lower in Denmark than in countries with similar health care. Prolonged time to diagnosis could be a contributing factor. The Danish cancer patient pathway (CPP) for OC was introduced in 2009. It provides GPs with fast access to diagnostic work-up.

OBJECTIVE

To investigate cancer suspicion and pathway use among GPs and to explore the association between these factors and the diagnostic intervals (DIs).

METHODS

We conducted a national population-based cohort study using questionnaires and national registers.

RESULTS

Of the 313 women with participating GPs, 91% presented with symptoms within 1 year of diagnosis, 61% presented vague non-specific symptoms and 62% were diagnosed with late-stage disease. Cancer was suspected in 39%, and 36% were referred to a CPP. Comorbidity [prevalence ratio (PR): 0.53, 95% confidence interval (CI): 0.29-0.98] and no cancer suspicion (PR: 0.35, 95% CI: 0.20-0.60) were associated with no referral to a CPP. The median DI was 36 days. Long DIs were associated with no cancer suspicion (median DI: 59 versus 20 days) and no referral to a CPP (median DI: 42 versus 23 days).

CONCLUSIONS

Nine in ten patients attended general practice with symptoms before diagnosis. Two-thirds initially presented with vague non-specific symptoms were less likely to be referred to a CPP and had longer DIs than women suspected of cancer. These findings underline the importance of supplementing the CPP with additional accelerated diagnostic routes.

Differential roles of comorbidity burden and functional status in elderly and non-elderly patients with infections in general wards

BACKGROUND

Differential roles of comorbidity burden, functional status and severity of illness in elderly and non-elderly patients admitted to general wards with infections in terms of short-term and long-term mortality remain poorly understood and worth further investigation.

METHODS

From 2011 to 2013, patients admitted to general wards with a main diagnosis of infections were included and their Barthel index, Charlson comorbidity index and Pitt bacteremia score were collected to evaluate their association with in-hospital and 1-year outcomes of the study cohort. Age stratification was applied for all outcome analysis.

RESULTS

A total of 2481 patients were identified, with main diagnoses of pneumonia (57%), urinary tract infection (28%) and intra-abdominal infection (18%). In-hospital mortality occurred in 291 (12%) of the population and was independently predicted by Barthel index ≤50 (odds ratio [OR] 5.67 and 2.73, respectively) and Charlson comorbidity index >2 (OR 1.49 and 2.87, respectively) in both elderly and non-elderly patients. Among 2190 hospital survivors, Barthel index ≤50 (hazard ratio [HR] 1.38) and Charlson comorbidity index >2 (HR 1.96) were associated with a higher hazard of 1-year mortality in elderly patients. However, only Charlson comorbidity index >2 (HR 2.87) was a significant characteristic of non-elderly patients to be correlated with higher 1-year mortality.

CONCLUSION

This study found that functional status on admission was predictive of in-hospital mortality of general patients with infections irrespective of age groups; however, it played a differential role in 1-year mortality in between elderly and non-elderly patients, emphasizing the importance of functional assessment among the elderly.

Ovarian cancer in the world: epidemiology and risk factors

Aim: Ovarian cancer is one of the most common gynecologic cancers that has the highest mortality rate. Considering the fact that knowledge on the incidence, mortality of ovarian cancer, as well as its risk factors is necessary for planning and preventing complications, this study was conducted with the aim of examining the epidemiology and risk factors of ovarian cancer in the world.

Materials and methods: In order to access the articles, Medline, Web of Science Core Collection, and Scopus databases were searched from their start to the year 2018. Full-text, English observational studies that referred to various aspects of ovarian cancer were included in the study.

Results: In total, 125 articles that had been published during the years 1925–2018 were entered into the study. Ovarian cancer is the seventh most common cancer among women. Increased risk factors of cancer have led to an upward trend in the incidence of cancer around the world. In 2018, 4.4% of entire cancer-related mortality among women was attributed to ovarian cancer. Although the incidence of cancer is higher among high Human Development Index (HDI) countries, the trend of mortality rate tends to be reversing. Various factors affect the occurrence of ovarian cancer, from which genetic factor are among the most important ones. Pregnancy, lactation, and oral contraceptive pills play a role in reducing the risk of this disease.

Conclusion: This study provides significant evidence about ovarian cancer. Considering the heavy burden of ovarian cancer on women's health, preventive measures as well as health education and early detection in high risk groups of women are highly recommended. Although some risk factors cannot be changed, a focus on preventable risk factors may reduce the risk of ovarian cancer. More studies are needed to explore the role of unclear risk factors in ovarian cancer occurrence.

Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort

BACKGROUND

Multimorbidity is associated with higher mortality, but the relationship with cancer and cardiovascular mortality is unclear. The influence of demographics and type of condition on the relationship of multimorbidity with mortality remains unknown. We examine the relationship between multimorbidity (number/type) and cause of mortality and the impact of demographic factors on this relationship.

METHODS

Data source: the UK Biobank; 500,769 participants; 37-73 years; 53.7% female. Exposure variables: number and type of long-term conditions (LTCs) (N = 43) at baseline, modelled separately. Cox regression models were used to study the impact of LTCs on all-cause/vascular/cancer mortality during median 7-year follow-up. All-cause mortality regression models were stratified by age/sex/socioeconomic status.

RESULTS

All-cause mortality is 2.9% (14,348 participants). Of all deaths, 8350 (58.2%) were cancer deaths and 2985 (20.8%) vascular deaths. Dose-response relationship is observed between the increasing number of LTCs and all-cause/cancer/vascular mortality. A strong association is observed between cardiometabolic multimorbidity and all three clinical outcomes; non-cardiometabolic multimorbidity (excluding cancer) is associated with all-cause/vascular mortality. All-cause mortality risk for those with ≥ 4 LTCs was nearly 3 times higher than those with no LTCs (HR 2.79, CI 2.61-2.98); for ≥ 4 cardiometabolic conditions, it was > 3 times higher (HR 3.20, CI 2.56-4.00); and for ≥ 4 non-cardiometabolic conditions (excluding cancer), it was 50% more (HR 1.50, CI 1.36-1.67). For those with ≥ 4 LTCs, morbidity combinations that included cardiometabolic conditions, chronic kidney disease, cancer, epilepsy, chronic obstructive pulmonary disease, depression, osteoporosis and connective tissue disorders had the greatest impact on all-cause mortality. In the stratified model by age/sex, absolute all-cause mortality was higher among the 60-73 age group with an increasing number of LTCs; however, the relative effect size of the increasing number of LTCs on higher mortality risk was larger among those 37-49 years, especially men. While socioeconomic status was a significant predictor of all-cause mortality, mortality risk with increasing number of LTCs remained constant across different socioeconomic gradients.

CONCLUSIONS

Multimorbidity is associated with higher all-cause/cancer/vascular mortality. Type, as opposed to number, of LTCs may have an important role in understanding the relationship between multimorbidity and mortality. Multimorbidity had a greater relative impact on all-cause mortality in middle-aged as opposed to older populations, particularly males, which deserves exploration.

Role, Extent, and Impact of Comorbidity on Prognosis and Survival in Advanced Metastatic Melanoma: A Review

Increased incidence of comorbidity in advanced metastatic melanoma (AMM) is emerging as an important factor in patient prognosis, treatment, and survival. This paper reviews the impact of comorbidities on the prognosis and survival outcomes of patients diagnosed with AMM. Our search initially yielded limited results. We then broadened our search to include breast, colorectal, and prostate cancer and covered malignancies in which screening (like melanoma) is associated with the detection of early-stage disease. Most studies showed that a higher prevalence of comorbidity was associated with more advanced cancer stage. Both treatment and survival of patients were influenced by age and the extent of comorbidity. Racial differences in survival were greatest for patients with no comorbidities and less evident at higher levels of comorbidity. Comorbid conditions showed differential effects for prognosis, treatment, and survival. Limited Information in the literature demonstrates that more research is warranted with respect to comorbidities and AMM.

Impact of Age, Comorbidity, and FIGO Stage on Treatment Choice and Mortality in Older Danish Patients with Gynecological Cancer: A Retrospective Register-Based Cohort Study

Background

The number of older patients with cancer is increasing in general, and ovarian and endometrial cancer are to a large extent cancers of the elderly. Older patients with cancer have a high prevalence of comorbidity. Comorbidity and age may be predictive of treatment choice and mortality in older patients with cancer along with stage and performance status.

Objectives

The aim of this study was to describe comorbidity in a population of older Danish patients with gynecological cancer, and to evaluate the predictive value of comorbidity and age on treatment choice and cancer-specific and all-cause mortality.

Materials and methods

In this retrospective study, we included 459 patients aged ≥ 70 years. Patients were diagnosed with cervical, endometrial, or ovarian cancer from 1 January, 2007 to 31 December, 2011 and were evaluated and/or treated at Odense University Hospital. Comorbidity was assessed using the Charlson Comorbidity Index. Treatment was classified as curative intended, palliative intended, or no treatment.

Results

Age, International Federation of Gynecology and Obstetrics (FIGO) stage, and performance status were found to be significant predictors of treatment choice, while comorbidity was not. Multivariate analyses showed that both cancer-specific and all-cause mortality were significantly associated with treatment choice, FIGO stage, and performance status. Age was not associated with mortality, with the exception of ovarian cancer, where age was associated with all-cause mortality. Comorbidity was not an independent predictor of treatment choice or mortality.

Conclusions

In our population of older Danish patients with gynecological cancer, age, FIGO stage, and performance status were predictors of treatment choice, while comorbidity was not. Treatment choice, FIGO stage, and performance status were significantly associated with both cancer-specific and all-cause mortality. Age was only associated with mortality in ovarian cancer, while comorbidity was not associated with mortality.

Confounders other than comorbidity explain survival differences in Danish and Swedish ovarian cancer patients - a comparative cohort study

OBJECTIVE

Danish ovarian cancer (OC) patients have previously been found to have worse prognosis than Swedish patients, and comorbidity has been suggested as a possible explanation for this survival difference. We aimed to investigate the prognostic impact of comorbidity in surgically treated OC patients in Denmark and Sweden.

METHODS

This comparative cohort study was based on data from 3118 surgically treated OC patients diagnosed in 2012-2015. The Swedish subcohort (n = 1472) was identified through the Swedish National Quality Register of Gynecological Surgery, whereas the Danish subcohort (n = 1646) originated from the Danish Gynecological Cancer Database. The clinical databases have high coverage and similar variables included. Comorbidity was classified according to the Ovarian Cancer Comorbidity Index and overall survival was the primary outcome. Data were analyzed using Kaplan Meier and Cox regression analyses. Multiple imputation was used to handle missing data.

RESULTS

We found comparable frequencies of the following comorbidities: Hypertension, diabetes and 'Any comorbidity'. Arteriosclerotic cardiac disease and chronic pulmonary disease were more common among Swedish patients. Univariable survival analysis revealed a significant better prognosis for Swedish than for Danish patients (HR 0.84 [95% CI 0.74-0.95], p < .01). In adjusted multivariable analysis, Swedish patients had nonsignificant better prognosis compared to Danish patients (HR 0.91 [95% CI 0.80-1.04], p = .16). Comorbidity was associated with survival (p = .02) but comorbidity did not explain the survival difference between the two countries.

CONCLUSIONS

Danish OC patients have a poorer prognosis than patients in Sweden but the difference in survival seems to be explained by other factors than comorbidity.

Calcium intake and risk of colorectal cancer according to expression status of calcium-sensing receptor (CASR)

OBJECTIVE

Although evidence suggests an inverse association between calcium intake and the risk of colorectal cancer, the mechanisms remain unclear. The calcium-sensing receptor (CASR) is expressed abundantly in normal colonic epithelium and may influence carcinogenesis. We hypothesized that calcium intake might be associated with lower risk of CASR-positive, but not CASR-negative, colorectal cancer.

DESIGN

We assessed tumour CASR protein expression using immunohistochemistry in 779 incident colon and rectal cancer cases that developed among 136 249 individuals in the Nurses' Health Study and Health Professionals Follow-Up Study. Duplication method Cox proportional hazards regression analysis was used to assess associations of calcium intake with incidence of colorectal adenocarcinoma subtypes by CASR status.

RESULTS

Total calcium intake was inversely associated with the risk of developing colorectal cancer (p_trend=0.01, comparing ≥1200 vs <600 mg/day: multivariable HR=0.75, 95% CI 0.60 to 0.95). For the same comparison, higher total calcium intake was associated with a lower risk of CASR-positive tumours (p_trend=0.003, multivariable HR=0.67, 95% CI 0.51 to 0.86) but not with CASR-negative tumours (p_trend=0.67, multivariable HR=1.15, 95% CI 0.75 to 1.78; p_{heterogeneity}=0.06 between the CASR subtypes). The stronger inverse associations of calcium intake with CASR-positive but not CASR-negative tumours generally appeared consistent regardless of sex, tumour location and source of calcium.

CONCLUSIONS

Our molecular pathological epidemiology data suggest a causal relationship between higher calcium intake and lower colorectal cancer risk, and a potential role of CASR in mediating antineoplastic effect of calcium.

Use of prescription drugs among women diagnosed with epithelial ovarian cancer in Denmark

INTRODUCTION

Epithelial ovarian cancer patients often suffer from chronic diseases requiring drug treatment. We assessed temporal patterns of drug use among women with ovarian cancer.

MATERIAL AND METHODS

We identified all postmenopausal women with epithelial ovarian cancer in Denmark 2005-2012 and a comparison cohort of age-matched women without cancer. We calculated rates of new drug treatment and total drug use and examined use of new and prevalent drugs before and after diagnosis. Analyses were stratified by histological type and stage of epithelial ovarian cancer.

RESULTS

We identified 2742 patients. The rate of new drug treatment increased from 3 to 5 months before diagnosis and peaked in the first month after diagnosis at 99 new types of drug therapy per 100 individuals (mainly antiemetics, proton-pump inhibitors, hypnotics, and opioids). Although declining, the rate of new drug use remained substantially higher among epithelial ovarian cancer patients than among controls throughout the 3-year postdiagnosis follow-up period. The number of prevalent drugs increased slightly from a median of 4 drugs (interquartile range 2-7) before diagnosis to 5 drugs (interquartile range 2-8) shortly after the diagnosis. The use of preventive drugs decreased only slightly after diagnosis. In stratified analyses, we found limited variation according to histological type, whereas patterns were slightly more pronounced among women with nonlocalized disease compared with localized disease.

CONCLUSIONS

Drug use among postmenopausal women with epithelial ovarian cancer was substantial and varied considerably in relation to the time of cancer diagnosis, although only limited changes were seen in the use of preventive medicines.

History of Comorbidities and Survival of Ovarian Cancer Patients, Results from the Ovarian Cancer Association Consortium

Background: Comorbidities can affect survival of ovarian cancer patients by influencing treatment efficacy. However, little evidence exists on the association between individual concurrent comorbidities and prognosis in ovarian cancer patients.Methods: Among patients diagnosed with invasive ovarian carcinoma who participated in 23 studies included in the Ovarian Cancer Association Consortium, we explored associations between histories of endometriosis; asthma; depression; osteoporosis; and autoimmune, gallbladder, kidney, liver, and neurological diseases and overall and progression-free survival. Using Cox proportional hazards regression models adjusted for age at diagnosis, stage of disease, histology, and study site, we estimated pooled HRs and 95% confidence intervals to assess associations between each comorbidity and ovarian cancer outcomes.Results: None of the comorbidities were associated with ovarian cancer outcome in the overall sample nor in strata defined by histologic subtype, weight status, age at diagnosis, or stage of disease (local/regional vs. advanced).Conclusions: Histories of endometriosis; asthma; depression; osteoporosis; and autoimmune, gallbladder, kidney, liver, or neurologic diseases were not associated with ovarian cancer overall or progression-free survival.Impact: These previously diagnosed chronic diseases do not appear to affect ovarian cancer prognosis. Cancer Epidemiol Biomarkers Prev; 26(9); 1470-3. ©2017 AACR.

Frequency and correlates of anticholinergic use among patients with schizophrenia in Denmark: A Nation-wide pharmacoepidemiological study

Anticholinergic medications are used to treat extrapyramidal adverse effects induced by antipsychotics. Anticholinergics are associated with adverse effects: constipation, dry mouth and worsening of cognitive function. Anticholinergics have potential for abuse and are not recommended for long term-treatment. We aimed to investigate the use of anticholinergics in patients with schizophrenia. The national health registers in Denmark were used to examine: The prevalence of anticholinergics in 1996-2012 using a cross-sectional design; geographic variations in the prescription of anticholinergics in 2012; correlates of treatment with anticholinergics. The proportion of patients using anticholinergics decreased significantly from 11.7% in 1996 to 5.7% in 2012. The prescription pattern varied considerably between national regions in 2012, ranging from 4.0% in the Capital Region to 8.1% in the Northern Denmark Region. Long-term use of anticholinergics was predicted by older age, age at debut of schizophrenia, receiving early retirement pension, typical antipsychotic use, antipsychotic polypharmacy, typical + atypical antipsychotics, antidepressant treatment, high doses of antipsychotics measured in defined-daily-dose, physical comorbidity and psychiatrists` greater caseload. Use of anticholinergics declined during the study period, and showed substantial variation across the regions in 2012. Long-term use was linked to typical antipsychotic use and variables that are associated with greater illness severity.

Predictive value of the age-adjusted Charlston co-morbidity index on peri-operative complications, adjuvant chemotherapy usage and survival in patients undergoing debulking surgery after neo-adjuvant chemotherapy for advanced epithelial ovarian cancer

The aim of this study was to determine whether the age-adjusted Charlston co-morbidity index (ACCI) can predict post-operative complications, adjuvant chemotherapy usage and overall survival (OS) in patients with advanced epithelial ovarian cancer (AOC) treated with neoadjuvant chemotherapy (NACT). A review was performed of all cytoreductive surgeries performed between 16/8/07-3/2/14 for AOC at a UK Cancer Centre. All surgeries were stratified by ACCI into three groups: Low (0-1), Intermediate (2-3) and High (≥4). Of the 293 cases the ACCI distribution was: 74 (25.26%) low, 164 (55.97%) intermediate and 55 (18.77%) high. Patients with a high ACCI were less likely to receive adjuvant chemotherapy (p = .023), more likely to receive fewer adjuvant cycles (p = .0057) but no more likely to experience complications. Median OS for patients with a low, intermediate and high ACCI was 44.58 (95%CI 36.98-52.19), 34.65 (95%CI 29.48-39.82) and 33.37 (95%CI 17.47-49.27) months. ACCI was associated with OS (p < .01) confirmed on multivariate analysis (p = .03). The ACCI is, therefore, a marker of survival in these patients and predicts adjuvant chemotherapy usage. Impact statement The Age-Adjusted Charlston Co-morbidity Index has previously been identified as a predictor of survival in both medical and surgical conditions. Recently it has also been validated in patients undergoing primary cytoreductive surgery for advanced ovarian cancer. This study is the first to validate the Age-Adjusted Charlston Co-morbidity Index in patients undergoing cytoreductive surgery following neoadjuvant chemotherapy. Our findings demonstrate that it can be used to not only predict overall survival in women undergoing debulking surgery after neo-adjuvant chemotherapy but also predicts the uptake and commencement of adjuvant chemotherapy. Such findings are important considerations to enable an informed patient choice regarding interval surgery in the more co-morbid patients. More importantly, although the ACCI can be used as a marker of overall survival, even in the most co-morbid of patients there remains a significant survival advantage following surgery to the extent that it should not be contraindicated in this cohort. The ACCI is being increasingly incorporated into various clinical trials as a standard demographic measure and this study validates its inclusion in patients undergoing interval debulking surgery.

Ovarian Cancer and Comorbidity: Is Poor Survival Explained by Choice of Primary Treatment or System Delay?

Objectives

Comorbidity influences survival in ovarian cancer, but the causal relations between prognosis and comorbidity are not well characterized. The aim of this study was to investigate the associations between comorbidity, system delay, the choice of primary treatment, and survival in Danish ovarian cancer patients.

Methods

This population-based study was conducted on data from 5317 ovarian cancer patients registered in the Danish Gynecological Cancer Database. Comorbidity was classified according to the Charlson Comorbidity Index and the Ovarian Cancer Comorbidity Index. Pearson χ2 test and multivariate logistic regression analyses were used to investigate the association between comorbidity and primary outcome measures: primary treatment (“primary debulking surgery” vs “no primary surgery”) and system delay (more vs less than required by the National Cancer Patient Pathways [NCPPs]). Cox regression analyses, including hypothesized mediators stepwise, were used to investigate if the impact of comorbidity on overall survival is mediated by the choice of treatment or system delay.

Results

A total of 3945 patients (74.2%) underwent primary debulking surgery, whereas 1160 (21.8%) received neoadjuvant chemotherapy. When adjusting for confounders, comorbidity was not significantly associated to the choice of treatment. Surgically treated patients with moderate/severe comorbidity were more often experiencing system delay longer than required by the NCPP. No association between comorbidity and system delay was observed for patients treated with neoadjuvant chemotherapy. Survival analyses demonstrated that system delay longer than NCPP requirement positively impacts survival (hazard ratio, 0.90 [95% confidence interval, 0.82–0.98]), whereas primary treatment modality has no significant impact on survival.

Conclusions

Patients with moderate/severe comorbidity experience often a longer system delay than patients with no or mild comorbidity. Age, stage, and comorbidity are factors influencing the choice of treatment, with stage being the most important factor and comorbidity of lesser importance. The impact of comorbidity on survival does not seem to be mediated by the choice of treatment or system delay.

Role of Non-hepatic Medical Comorbidity and Functional Limitations in Predicting Mortality in Patients with HCV

BACKGROUND

Medical comorbidities and functional status limitations are determinants of mortality in many chronic diseases. The extent to which survival in the rapidly aging cohort of patients with HCV is affected by these competing causes of mortality remains unclear.

AIM

We sought to determine the effect of medical/functional comorbidities on survival after adjusting for liver disease severity in a cohort of patients with HCV infection.

METHODS

We prospectively recruited consecutive patients from an HCV clinic 2009-2014. We calculated an index of survival (Schonberg Index, SI) based on age, gender, medical comorbidities, and functional status variables. We defined cirrhosis with the FibroSure test (F3/4-F4). We used multivariable Cox modeling to assess association between functional/survival measure and survival after adjustment for severity of liver disease.

RESULTS

The cohort consisted of 1052 HCV patients. The average age was 56.8 years; 36 % had cirrhosis. The mean SI was 8.2 (SD = 2.7). During a mean follow-up of 5610 person-years, 102 (9.7 %) patients died. In unadjusted analysis, higher baseline SI predicted mortality (HR 1.17; 95 % CI 1.09-1.25). SI similarly predicted mortality in cirrhotic patients (HR 1.23, 95 % CI 1.13-1.34) and non-cirrhotic patients (HR 1.21, 95 % CI 1.08-1.36). This did not change after adjusting for age, drug use, or coronary artery disease.

DISCUSSION

Comorbidities and functional limitations predict higher mortality in patients with HCV; this relationship is independent of cirrhosis. Use of general prognostic indices may help identify HCV patients at high risk for mortality, which could further guide clinical care in a manner not achievable with assessment of liver disease alone.

The impact of comorbidity on cancer and its treatment

Answer questions and earn CME/CNE Comorbidity is common among cancer patients and, with an aging population, is becoming more so. Comorbidity potentially affects the development, stage at diagnosis, treatment, and outcomes of people with cancer. Despite the intimate relationship between comorbidity and cancer, there is limited consensus on how to record, interpret, or manage comorbidity in the context of cancer, with the result that patients who have comorbidity are less likely to receive treatment with curative intent. Evidence in this area is lacking because of the frequent exclusion of patients with comorbidity from randomized controlled trials. There is evidence that some patients with comorbidity have potentially curative treatment unnecessarily modified, compromising optimal care. Patients with comorbidity have poorer survival, poorer quality of life, and higher health care costs. Strategies to address these issues include improving the evidence base for patients with comorbidity, further development of clinical tools to assist decision making, improved integration and coordination of care, and skill development for clinicians. CA Cancer J Clin 2016;66:337-350. © 2016 American Cancer Society.

Assessment of the impact of comorbidity on the survival of cancer patients treated by palliative care teams

OBJECTIVE

The usefulness of the age-adjusted Charlson Comorbidity Index (ACCI) as a gauge of the impact of comorbidity on survival is known in the geriatric population. In palliative care, there is little research studying the correlation between comorbidity and survival in the advanced stages of oncological disease. The aim of our study was to explore the impact of comorbidity, measured with the ACCI, on survival in our patients. Our hypothesis was that higher ACCI scores would be associated with lower survival rates after the first visit.

METHOD

We conducted a prospective observational study over one year. Patients were attended by palliative home care teams. The main variables were: survival from metastatic disease after the first visit and ACCI score on the first visit. We also employed a descriptive analysis and a Kaplan-Meier survival analysis, including different ranges of ACCI scores.

RESULTS

The final sample included 66 subjects. The standard patient was a 76-year-old man with lung cancer who had received chemotherapy. The overall average ACCI score was 10.45. Significant differences were found between the different locations of metastatic disease (greater survivals in breast, ovary, and prostate; p = 0.005) and some treatments (hormone and radiotherapy; p = 0.001 for each), but not from the first visit. We found lower survival rates among lung cancer patients with higher comorbidity (ACCI ≥ 11, p = 0.047), with no differences on other primary locations or overall values.

SIGNIFICANCE OF RESULTS

The data show that comorbidity measured by the ACCI may be an interesting prognostic factor during the late stages of disease, as we have found in lung cancer. More research is certainly needed.

Cross-sectional study on comorbidities and adverse events in patients with advanced and recurrent ovarian cancer in France

Purpose

The purpose of this study was to evaluate the prevalence of comorbidities and adverse events (AEs), and determine the treatment patterns according to platinum-sensitivity status in patients with advanced (stage IIIB–IV) or recurrent epithelial ovarian cancer (EOC).

Methods

A cross-sectional study was carried out in France with patients over 18 years, diagnosed with advanced (stage IIIB–IV) or recurrent EOC between 2009 and 2012. A total of 23 physicians (oncologists and gynecologists) participated, contributing 127 patients. Data were abstracted by participating physicians into a case report form.

Results

Of the 127 patients included, 92 (72.4%) had advanced EOC and 35 (27.6%) had recurrent EOC. A total of 73 comorbidities were reported in 44 patients (34.6%). Vascular (10.2%), metabolic (7.1%), respiratory (5.5%), and psychiatric disorders (5.5%) were the most common types of comorbidities reported. Prevalence of AEs was 74.8%, of which 12.6% were classified as serious. The most common AEs were anemia (16.5%), hematologic events (12.6%), taste change (11.8%), and headache (7.1%). Throughout the follow-up period, twelve patient deaths were reported (six due to disease progression). Of 35 patients with recurrent disease, 16 were highly platinum sensitive (recurrence >12 months after stopping platinum-based therapy), eleven were partially platinum sensitive (recurrence 6–12 months after stopping platinum-based therapy), seven were platinum resistant (recurrence within 6 months of stopping platinum-based therapy or progression while receiving second- or later-line platinum-based therapy), and one was platinum refractory (recurrence within 6 months from the start of first-line platinum-based therapy).

Conclusion

In this cross-sectional study of advanced and metastatic ovarian cancer patients, approximately one-third of patients were diagnosed with comorbidities, and approximately three-quarters were diagnosed with AEs (12.6% with severe AEs).

Impact of liver cirrhosis due to chronic hepatitis C viral infection on the outcome of ovarian cancer: a prospective study

BACKGROUND

This study was designed to investigate the impact of liver cirrhosis due to chronic hepatitis C virus (HCV) infection on the disease-free and overall survival of ovarian cancer patients undergoing a standard primary operation followed by standard chemotherapy. Attainment of the operative goals, intra- and postoperative events, possible complications under chemotherapy necessitating the termination of treatment, and the impact of ovarian cancer treatment on liver function were assessed.

METHODS

This was a prospective observational study that included only patients with primary epithelial ovarian cancer. Only patients with Child-Turcotte-Pugh classification class A disease were recruited. Patients were divided into two groups according to whether they had liver cirrhosis. All the patients underwent primary debulking surgery followed by 6 cycles of chemotherapy, and were followed-up for 24 months after chemotherapy was completed.

RESULTS

We recruited 77 patients, 19 of whom had liver cirrhosis. There were no significant differences between patients with or without liver cirrhosis with respect to tumor stage, histopathological type, tumor grade, or optimal operative debulking. There was no registered liver dysfunction-related mortality in the follow-up period, and there were no statistically significant differences between the groups with respect to disease-free or overall survival (p = 0.719 and p = 0.524, respectively).

CONCLUSION

From the results of this study, we conclude that compensated liver cirrhosis (Child-Turcotte-Pugh class A) due to chronic HCV infection affects neither the disease-free nor the overall survival of ovarian cancer patients, regardless of their stage. This study shows that it is possible to treat ovarian cancer patients with cirrhosis caused by HCV infection the same as any other patient; treatment does not have to be adjusted as long as the patients have Class A disease.

The impact of patient comorbidity on cancer stage at diagnosis

Background:

It is known that cancer stage is affected by comorbidity, but the evidence regarding the magnitude and even direction of this effect is highly inconsistent and poorly understood. The aims of this study were to establish the impact of comorbidity on cancer stage at diagnosis, using both specific individual comorbid conditions and a global measure of comorbidity; and to assess whether this impact varied by cancer site, level of comorbidity burden and individual comorbidity type.

Methods:

We examined comorbidity among 14 096 patients with breast, colon, rectal, liver, stomach, ovarian, uterine, bladder or kidney cancer. Patients were identified from cancer registry data, and then linked to hospitalisation data to determine the presence of comorbidity in the 5 years preceding cancer diagnosis. Individual comorbid conditions were identified using ICD-10 codes, and overall burden of comorbidity attributed using a cancer-specific measure of comorbidity (C3 Index).

Results:

We observed that the presence of patient comorbidity (a) increases the odds of being diagnosed with distant metastases, (b) does not lead to earlier diagnosis and (c) increases the likelihood of a patient receiving no stage of disease at diagnosis.

Conclusions:

Patient comorbidity has a substantial impact on cancer stage at diagnosis; however, this impact varies considerably by cancer type, individual comorbid condition and overall comorbidity burden.

Frequency and correlates of antipsychotic polypharmacy among patients with schizophrenia in Denmark: A nation-wide pharmacoepidemiological study

Although evidence for efficacy of antipsychotic polypharmacy (APP) is sparse, APP is common in schizophrenia. The national Danish health registers were accessed to examine in schizophrenia patients: (1) cross-sectional prevalences of APP (1996-2012); (2) geographic variations in APP (2012); and (3) correlates of APP (2012). APP increased from 17.2% in 1996 to 30.8% in 2006 (p<0.001), declining to 24.6% in 2012 (p<0.001) (overall trend 1996-2012: α=0.653, 95% confidence interval (CI):0.327-0.979, p<0.001). Comparing the 1996-2005 and 2006-2012 cohorts APP occurred significantly faster in the 2006 cohort after schizophrenia diagnosis (p<0.0001). The predominant APP type changed from first-generation antipsychotic combinations in 1996 (77.3%) to first+second-generation antipsychotic combinations in 2003 (70.3%) and second-generation antipsychotic combinations in 2012 (59.2%). In 2012, the prevalence of APP varied from 19.4% in Copenhagen to 29.3% in the region of Zealand. Independent correlates of APP, explaining 37.9% of the variance, included a higher number of patients per psychiatrist (OR=1.04/10 patients, CI=1.03-1.06, p<0.001),lower proportion of males (OR=0.80, CI=0.74-0.86), younger age (OR=1.00, CI=0.99-1.00), several schizophrenia subtypes (paranoid: OR=1.24, CI=1.11-1.38,hebephrenic: OR=1.30, CI=1.03-1.63, other: OR=1.95 CI=1.17-3.24, unspecified: OR=1.21 CI=1.05-1.40), living alone (OR=1.12, CI=1.01-1.24), being institutionalized (OR=1.23, CI=1.06-1.42), receiving early retirement pension (OR=1.21, CI=1.10-1.34), higher Charlson Co-morbidity Index score (OR=1.13, CI=1.07-1.19), higher antipsychotic defined daily doses (OR=3.05, CI=-2.95-3.16), treatment with clozapine (OR=3.09, 95% CI=2.78-3.44), and treatment with antidepressants (OR=1.97 (CI=1.83-2.13), long-acting injectable antipsychotics (OR=1.48, CI=1.34-1.63), and anticholinergics (OR=1.74, CI=1.51-2.01). APP remains common in schizophrenia with substantial temporal and geographical variation, being associated with indicators of illness severity and chronicity.

The influence of comorbidity and comedication on grade III/IV toxicity and prior discontinuation of chemotherapy in recurrent ovarian cancer patients: An individual participant data meta-analysis of the North-Eastern German Society of Gynecological Oncology (NOGGO)

BACKGROUND

Ovarian cancer is usually a cancer of the older age group. Comorbidities and comedications increase with rising age. Aim of this study was to evaluate association of comorbidity and comedication with grade III/IV toxicities and prior cessation of chemotherapy in ovarian cancer patients.

PATIENTS AND METHODS

As an individual participant data meta-analysis this study analyzes the original data of three phase II/III chemotherapy studies of the North-Eastern German Society of Gynecological Oncology (NOGGO). Risk scores for certain combinations of risk factors were calculated based on stepwise regression analyses.

RESULTS

Altogether, 1213 patients were included in the study. Cardiovascular disease was the most frequent comorbidity (47.5%). In multivariate analyses it was associated with hematological, non-hematological, pulmonary and renal grade III/IV toxicities (p=0.002; p<0.001; p=0.005; p<0.001). Renal toxicity was more frequent when using diuretics and ACE-inhibitors (p<0.001; p=0.002). Prior cessation of therapy was e.g. associated with use of diuretics, insulin and digitalis (p=0.001; p=0.04; p=0.03). The risk for renal grade III/IV toxicities was more than 16 times higher when using both a diuretic and an ACE-inhibitor.

CONCLUSIONS

Regimens of ovarian cancer treatment should not be restricted to direct cancer therapy but rather include additional individualized treatment of comorbidities. Comedications such as diuretics increase grade III/IV toxicities and patients at risk should be closely monitored.

Comorbidity and survival among women with ovarian cancer: evidence from prospective studies

The relationship between comorbidity and ovarian cancer survival has been controversial so far. Therefore, we conducted a meta-analysis to summarize the existing evidence from prospective studies on this issue. Relevant studies were identified by searching the PubMed, EMBASE, and ISI Web of Science databases through the end of January 2015. Two authors independently performed the eligibility evaluation and data abstraction. Random-effects models were used to estimate summary hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival. Eight prospective studies involving 12,681 ovarian cancer cases were included in the present study. The summarized HR for presence versus absence of comorbidity was 1.20 (95% CI = 1.11–1.30, n = 8), with moderate heterogeneity (I² = 31.2%, P = 0.179). In addition, the summarized HR for the highest compared with the lowest category of the Charlson’s comorbidity index was 1.68 (95% CI = 1.50–1.87, n = 2), without heterogeneity (I² = 0%, P = 0.476). Notably, a significant negative impact of comorbidity on ovarian cancer survival was observed in most subgroup analyses stratified by the study characteristics and whether there was adjustment for potential confounders. In conclusion, the findings of this meta-analysis suggest that underlying comorbidity is consistently associated with decreased survival in patients with ovarian cancer. Comorbidity should be taken into account when managing these patients.

Predictive value of the Age-Adjusted Charlson Comorbidity Index on perioperative complications and survival in patients undergoing primary debulking surgery for advanced epithelial ovarian cancer

OBJECTIVE

To assess the ability of the Age-Adjusted Charlson Comorbidity Index (ACCI) to predict perioperative complications and survival in patients undergoing primary debulking for advanced epithelial ovarian cancer (EOC).

METHODS

Data were analyzed for all patients with stage IIIB-IV EOC who underwent primary cytoreduction from 1/2001-1/2010 at our institution. Patients were divided into 3 groups based on an ACCI of 0-1, 2-3, and ≥4. Clinical and survival outcomes were assessed and compared.

RESULTS

We identified 567 patients; 199 (35%) had an ACCI of 0-1, 271 (48%) had an ACCI of 2-3, and 97 (17%) had an ACCI of ≥4. The ACCI was significantly associated with the rate of complete gross resection (0-1=44%, 2-3=32%, and ≥4=32%; p=0.02), but was not associated with the rate of minor (47% vs 47% vs 43%, p=0.84) or major (18% vs 19% vs 16%, p=0.8) complications. The ACCI was also significantly associated with progression-free (PFS) and overall survival (OS). Median PFS for patients with an ACCI of 0-1, 2-3, and ≥4 was 20.3, 16, and 15.4 months, respectively (p=0.02). Median OS for patients with an ACCI of 0-1, 2-3, and ≥4 was 65.3, 49.9, and 42.3 months, respectively (p<0.001). On multivariate analysis, the ACCI remained a significant prognostic factor for both PFS (p=0.02) and OS (p<0.001).

CONCLUSIONS

The ACCI was not associated with perioperative complications in patients undergoing primary cytoreduction for advanced EOC, but was a significant predictor of PFS and OS. Prospective clinical trials in ovarian cancer should consider stratifying for an age-comorbidity covariate.

Do stage of disease, comorbidity or access to treatment explain socioeconomic differences in survival after ovarian cancer? - A cohort study among Danish women diagnosed 2005-2010

AIMS

In order to reduce social inequality in cancer survival, knowledge is needed about where in the cancer trajectory disparities occur, and how social and health-related aspects may interact. We aimed to determine whether socioeconomic factors are related to cancer diagnosis stage, and whether socioeconomic disparities in survival after ovarian cancer can be explained by socioeconomic differences in cancer stage, comorbidity, treatment or lifestyle factors.

METHODS

In the Danish Gynaecological Cancer Database we identified 2873 cases of ovarian cancer diagnosed between 2005 and 2010. From this data we retrieved information on prognostic factors, treatment information and lifestyle factors. Age, vital status, comorbidity, education, income and cohabitation status were ascertained from nationwide administrative registers. Associations were analyzed with logistic regression and Cox regression models.

RESULTS

Educational level was weakly associated with cancer stage. Short education, lower income and living without a partner were related to poorer survival after ovarian cancer. Among women with early cancer stage, HR (95% CI) for death was 1.75 (1.20-2.54) in shorter compared to longer educated women. After adjustment for comorbid conditions, cancer stage, tumour histology, operation status and lifestyle factors, socioeconomic differences in survival persisted.

CONCLUSIONS

Socioeconomic disparities in survival after ovarian cancer were to some extent, but not fully explained by differences in important prognostic factors, suggesting further investigations into this problem, however implying that socially less advantaged ovarian cancer patients should receive attention during cancer treatment and rehabilitation.

Population-based cohort study on the risk of pneumonia in patients with non-traumatic intracranial haemorrhage who use proton pump inhibitors

OBJECTIVES

This nationwide cohort study investigated the association between proton pump inhibitor (PPI) usage and the risk of pneumonia in patients with non-traumatic intracranial haemorrhage (ICH).

DESIGN

Nationwide population-based cohort study.

SETTING

Longitudinal Health Insurance Database 2010 (LHID2010) sampled from the Taiwan National Health Insurance Research Database.

PARTICIPANTS

4644 patients with non-traumatic ICH from 2010 to 2011 were identified. Patients aged <18 years and newly diagnosed with non-traumatic ICH complicated with pneumonia during the same admission period were excluded. A total of 2170 participants were eligible for the final analysis.

MAIN OUTCOME MEASURE

Patients using PPIs or not during the study period were tracked to identify the occurrence of any type of pneumonia.

RESULTS

The adjusted HR of the risk of pneumonia for ICH patients who used PPIs was 1.61 (95% CI 1.32 to 1.97, p<0.001). The risk of pneumonia was positively associated with the administration of PPIs. We observed a greater risk of pneumonia in patients who used PPIs than in those who did not. Moreover, we observed that the risk of pneumonia in patients who used PPIs was 2.60 and 2.04 (95% CI 2.01 to 3.38, p<0.001; 95% CI 1.34 to 3.10, p<0.001) greater than that in patients who did not use PPIs when the defined daily dose was <30 and 30-60, respectively.

CONCLUSIONS

The results of this study indicate that the use of PPIs in patients with non-traumatic ICH is associated with an increased risk of pneumonia, and the severity of this risk depends on the defined daily dose. Physicians should exercise caution when prescribing PPIs for patients with non-traumatic ICH.

The effect of neighborhood-level socioeconomic status on racial differences in ovarian cancer treatment in a population-based analysis in Chicago

BACKGROUND

Less than half of women with ovarian cancer and blacks specifically receive therapy adherent to National Comprehensive Cancer Network (NCCN) guidelines. The purpose is to assess the effect of neighborhood-level socioeconomic status (SES) on black-white treatment differences in a population-based analysis in a highly-segregated community.

METHODS

Illinois State Cancer Registry data for invasive epithelial ovarian cancer cases diagnosed in Cook County, IL in non-Hispanic white (NHW) or black (NHB) women from 1998 to 2009 was analyzed. As few women receive NCCN-adherent care, variables were constructed to assess extent of treatment, including receipt of: 1) debulking surgery; 2) any surgery; 3) multi-agent chemotherapy; and 4) any chemotherapy. Two measures (concentrated affluence and disadvantage) were used to estimate neighborhood-level SES. Multivariable logistic regression was used to compute odds ratios (OR) and 95% confidence intervals (95% CI), with generalized linear mixed models to account for hierarchical data.

RESULTS

2766 (81.0%) NHW and 647 (19.0%) NHB women were diagnosed. Adjusting for covariates, NHB were less likely to receive debulking surgery (OR: 0.39; 95% CI: 0.30-0.50), any surgery (OR: 0.38; 95%CI: 0.29-0.49), multi-agent chemotherapy (OR: 0.56; 95% CI: 0.45-0.71) and any chemotherapy (OR: 0.58; 95% CI: 0.45-0.74). Concentrated affluence but not disadvantage was significant in final models for multi-agent and any chemotherapy, but not debulking or any surgery.

CONCLUSIONS

Results identify black-white differences consistent across treatments that persist despite adjustment for neighborhood-level SES.

IMPACT

Results advance inequality awareness beyond "ideal" NCCN-adherent care, indicating inequality exists in delivery of even the most basic oncologic care.

Prevalence and prognostic impact of comorbidity in soft tissue sarcoma: a population-based cohort study

BACKGROUND

Comorbidity is an important prognostic factor for survival in other cancers, but the importance in soft tissue sarcoma has not yet been clarified. The aims of this study were to examine the prevalence of comorbidity in soft tissue sarcoma patients, and estimate the impact of comorbidity on overall and disease-specific mortality.

MATERIAL AND METHODS

Overall, 1210 adult patients with soft tissue sarcoma in the extremities or trunk wall were identified through the Aarhus Sarcoma Registry, a validated population-based database. Information on comorbidity was obtained through the National Patient Registry, and a Charlson's Comorbidity score was calculated for each patient. The prevalence of comorbidity was assessed overall, as well as according to age and year of diagnosis. Overall and disease-specific mortality rates according to level of comorbidity were computed. The prognostic value of comorbidity was estimated using crude and adjusted Cox proportional hazard models.

RESULTS

The overall prevalence of comorbidity was 25%. The prevalence increased with increasing age, and patients with comorbidity had a larger proportion of adverse prognostic factors when compared to patients without comorbidity. The five-year disease-specific mortality was 26% (95% CI 24-29) for patients without comorbidity, compared to 33% (95% CI 24-42), 41% (95% CI 32-50), and 44% (95% CI 33-55) for patients with mild, moderate, and severe comorbidity, respectively. After adjusting for age, sex, stage, tumor size, depth, grade, surgical margin, radiotherapy, and chemotherapy, comorbidity was independently associated with an increased overall and disease-specific mortality.

CONCLUSION

Patients with comorbidity had significantly increased overall and disease-specific mortality compared to patients without comorbidity, even when adjusting for important prognostic factors including age.