Comorbidity is an independent prognostic factor for the survival of ovarian cancer: a Danish register-based cohort study from a clinical database

Comorbid conditions and survival among Black women with ovarian cancer

BACKGROUND

Black women with epithelial ovarian cancer (EOC) have worse survival and a higher burden of comorbid conditions compared with other racial groups. This study examines the association of comorbid conditions and medication use for these conditions with survival among Black women with EOC.

METHODS

In a prospective study of 592 Black women with EOC, the Charlson comorbidity index (CCI) based on self-reported data, three cardiometabolic comorbidities (type 2 diabetes, hypertension, and hyperlipidemia), and medication use for each cardiometabolic comorbidity were evaluated. Cox proportional hazards regression models were used to examine the association of comorbid conditions and related medication use with all-cause mortality while adjusting for relevant covariates overall and by histotype (high-grade serous [HGS]/carcinosarcoma vs. non-HGS/carcinosarcoma) and stage (I/II vs. III/IV).

RESULTS

A CCI of ≥2 was observed in 42% of the cohort, and 21%, 67%, and 34% of women had a history of type 2 diabetes, hypertension, and hyperlipidemia, respectively. After adjusting for prognostic factors, a CCI ≥2 (vs. 0; hazard ratio [HR], 1.33; 95% confidence interval [CI], 1.04-1.71) and type 2 diabetes (HR, 1.42; 95% CI, 1.10-1.84) were associated with an increased risk of mortality. The increased risk of mortality for type 2 diabetes was present specifically among women with HGS/carcinosarcoma (HR, 1.47; 95% CI, 1.10-1.97) and among women with stage III/IV disease (HR, 1.47; 95% CI, 1.10-1.98). The authors did not find evidence that hypertension, hyperlipidemia, or medication use for the cardiometabolic comorbidities meaningfully impacted survival.

CONCLUSION

Comorbid conditions, especially type 2 diabetes, had a significant adverse impact on survival among Black women with EOC.

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.

Conditional disease-free survival rates and their associated determinants in patients with epithelial ovarian cancer: A 15-year retrospective cohort study

BACKGROUND

The most common type of ovarian cancer (OC) is epithelial ovarian cancer (EOC) which is the most lethal gynecologic malignancy in adult women.

AIM

This study aimed to determine the conditional disease-free survival (CDFS) rates and their associated determinants in patients with EOC.

METHODS AND RESULTS

The clinical and demographic data of 335 patients with confirmed EOC at Motahari Clinic (Shiraz, Iran) were retrospectively reviewed and analyzed. Traditional DFS (TDFS) and CDFS were calculated using the Kaplan-Meier method and cumulative DFS estimates, respectively. To evaluate the effects of the prognostic determinants on the DFS of the patients, a multiple covariate Cox analysis using the landmarking method was applied. The 1- and 3-year TDFSs were 81.1% and 47.0%, respectively, and decreased over time. At baseline, a higher stage tumor and endometrioid histology were associated with a higher risk of recurrence when compared to stage I and other histological subtypes, respectively. The hazard of recurrence for older women (age ≥55 years) was approximately twice and three times more than that of women aged <45 years at 1- and 3-year landmark time points, respectively.

CONCLUSION

The age at diagnosis, defined by a cut-off of 55 years, was a prognostic factor for the CDFS of EOC women. Moreover, patients with advanced-stage EOC (ASEOC) (stages III and IV) and endometrioid histology had poorer CDFSs compared to those with early-stage EOC (ESEOC) (stages I and II) and other histological types. In ESEOC patients with age at diagnosis of >55 years, CDFS gradually decreased in 3 years after remission which should be considered for follow-up care decision-making.

Survival in Advanced Epithelial Ovarian Cancer Associated with Cardiovascular Comorbidities and Type 2 Diabetes Mellitus

Background: Ovarian carcinoma (OC) is usually diagnosed at an advanced stage, necessitating a multimodal approach that includes surgery and systemic therapy. The incidence of OC is approximately five times higher in women over 65 years of age. Cardiovascular comorbidities and type 2 diabetes mellitus, both prevalent at this age, can influence therapeutic strategy and have an adverse effect on survival. Objectives: Our study aimed to determine the impact of cardiovascular diseases and diabetes mellitus on survival in advanced ovarian cancer. Materials and methods: From 2004 to 2012, we retrospectively studied 104 patients with advanced epithelial ovarian cancer (FIGO stage II–IV) who underwent surgical treatment at the Gynecology Clinic, St. Anna University Hospital, Varna, Bulgaria. Patients were followed for an average of 90 (52–129) months. We divided the study population into two groups: those with concurrent cardiovascular diseases and type 2 diabetes mellitus (CVD) and those without these comorbidities (No-CVD group). Overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS) were compared between groups using Kaplan–Meier survival analysis. Cardiovascular comorbidities and diabetes mellitus were evaluated for their prognostic value for survival using multivariate Cox proportional regression analysis adjusted for age, stage of OC, grade and histological type of the tumor, ascites presence, residual tumor size (RT), performance status, and type of hysterectomy. Results: The Kaplan–Meier analysis showed reduced OS and DSS in the CVD group compared to the No-CVD group. The median OS was 24.5 months (95% CI 18.38 months) and 38 months (95% CI 26, not reached), respectively (Log-rank p = 0.045). The median DSS was 25.5 months (95% CI 19.39 months) and 48 months (95% CI 28, not reached), respectively (Log-rank p = 0.033). The Cox regression multivariate analysis established a lower (by 68%) overall survival rate for the CVD patient group than the No-CVD group, approaching statistical significance (HR 1.68, 95% CI 0.99, 2.86, p = 0.055). Cardiovascular diseases and diabetes were associated with a 79% reduction in DSS (HR 1.79, 95% CI 1.02, 3.13, p = 0.041) and a twofold increase in the risk of disease progression (HR 2.05, 95% CI 1.25, 3.37, p = 0.005). Conclusions: According to our study, cardiovascular comorbidities and diabetes may adversely affect OC survival. Optimal control of cardiovascular diseases, diabetes mellitus, and their risk factors may be beneficial for patients with advanced OC. Further research involving a larger patient population is necessary to establish these comorbidities as independent prognostic factors.

Analysis of Morbidity, Mortality and Survival Pattern Following Surgery for Borderline Ovarian and Malignant Ovarian Tumour in Tertiary Care Centre

Backgrounds

To analyse the morbidity, mortality and survival pattern following surgery for borderline ovarian and malignant ovarian tumours.

Methods

The medical records of 57 consecutive patients with invasive and borderline epithelial ovarian cancer patients registered and operated in our tertiary centre between 2015 to 2017 were reviewed. Patients were followed up for a minimum of 18 months to maximum of 42 months at an interval of 3 months with CA125 values. Various prognostic factors were analysed. The data descriptive statistics of frequency and percentage analysis were used for categorical variables and mean and standard deviation were used for continuous variables.

Results

The most common age group was 51 years and above with the majority (56.2%) of women belonging to postmenopausal age group (32/57). In our study, 30 out of 57 women (52.6%) had stage III disease, 17 women had stage I disease (29.8%) and 7 women had stage 2 disease (12.3%). Majority of the women had serous epithelial ovarian tumour (47 out of 57 patients), which contributed to 82.4%. Grade 1 and 2 morbidity was encountered in 8 patients. Six patients had wound infection (grade 1), and 2 patients required blood transfusions (grade 2). One patient had grade 3 morbidity requiring re-laparotomy. Borderline tumours and early-stage epithelial ovarian tumours had good prognosis, less morbidity and good survival. The overall median survival was 25 months.

Conclusions

With meticulous perioperative care, surgery for ovarian cancer in the primary and interval setting can be done with minimal morbidity and no postoperative mortality, especially in patients with co-morbidities. Grade is an important prognostic factor affecting the survival of patients with epithelial ovarian cancers undergoing surgery. Lymph node dissection helps achieve local control but may not improve the survival.

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.

Outcome quality standards in advanced ovarian cancer surgery

INTRODUCTION

Advanced ovarian cancer surgery (AOCS) frequently results in serious postoperative complications. Because managing AOCS is difficult, some standards need to be established that allow surgeons to assess the quality of treatment provided and consider what aspects should improve. This study aimed to identify quality indicators (QIs) of clinical relevance and to establish their acceptable quality limits (i.e., standard) in AOCS.

MATERIALS AND METHODS

We performed a systematic search on clinical practice guidelines, consensus conferences, and reviews on the outcome and quality of AOCS to identify which QIs have clinical relevance in AOCS. We then searched the literature (from January 2006 to December 2018) for each QI in combination with the keywords of advanced ovarian cancer, surgery, outcome, and oncology. Standards for each QI were determined by statistical process control techniques. The acceptable quality limits for each QI were defined as being within the limits of the 99.8% interval, which indicated a favorable outcome.

RESULTS

A total of 38 studies were included. The QIs selected for AOCS were complete removal of the tumor upon visual inspection (complete cytoreductive surgery), a residual tumor of < 1 cm (optimal cytoreductive surgery), a residual tumor of > 1 cm (suboptimal cytoreductive surgery), major morbidity, and 5-year survival. The rates of complete cytoreductive surgery, optimal cytoreductive surgery, suboptimal cytoreductive surgery, morbidity, and 5-year survival had quality limits of < 27%, < 23%, > 39%, > 33%, and < 27%, respectively.

CONCLUSION

Our results provide a general view of clinical indicators for AOCS. Acceptable quality limits that can be considered as standards were established.

The power of empirical data; lessons from the clinical registry initiatives in Scandinavian cancer care

BACKGROUND

In Scandinavia, there is a strong tradition for research and quality monitoring based on registry data. In Denmark, Norway and Sweden, 63 clinical registries collect data on disease characteristics, treatment and outcome of various cancer diagnoses and groups based on process-related and outcome-related variables.

AIM

We describe the cancer-related clinical registries, compare organizational structures and quality indicators and provide examples of how these registries have been used to monitor clinical performance, develop prediction models, assess outcome and provide quality benchmarks. Further, we define unmet needs such as inclusion of patient-reported outcome variables, harmonization of variables and barriers for data sharing.

RESULTS AND CONCLUSIONS

The clinical registry framework provides an empirical basis for evidence-based development of high-quality and equitable cancer care. The registries can be used to follow implementation of new treatment principles and monitor patterns of care across geographical areas and patient groups. At the same time, the lessons learnt suggest that further developments and coordination are needed to utilize the full potential of the registry initiative in cancer care.

Incidence, comorbidity and mortality in patients with necrotising soft-tissue infections, 2005-2018: a Danish nationwide register-based cohort study

OBJECTIVE

To assess the incidence, comorbidities, treatment modalities and mortality in patients with necrotising soft-tissue infections (NSTIs) in Denmark.

DESIGN

Nationwide population-based registry study.

SETTING

Denmark.

PARTICIPANTS

Danish residents with NSTI between 1 January 2005 and 31 August 2018.

MAIN OUTCOME MEASURE

Incidence of disease per 100 000 person/year and all-cause mortality at day 90 obtained from Danish National Patient Registry and the Danish Civil Registration System.

RESULTS

1527 patients with NSTI were identified, yielding an incidence of 1.99 per 100 000 person/year. All-cause 30-day, 90-day and 1-year mortality were 19.4% (95% CI 17.4% to 21.5%), 25.2% (95% CI 23.1% to 27.5%) and 30.4% (95% CI 28.0% to 32.8%), respectively. Amputation occurred in 7% of the individuals. Diabetes was the most predominant comorbidity affecting 43% of the cohort, while 26% had no comorbidities. Higher age, female sex and increasing comorbidity index were found to be independent risk factors of mortality. Admission to high-volume hospitals was associated with improved survival (OR 0.59, 95% CI 0.45 to 0.77). Thirty-six per cent received hyperbaric oxygen therapy (HBOT) as an adjunctive therapy. No change in overall mortality was found over the studied time period.

CONCLUSION

The present study found that in Denmark, the incidence of NSTI increased; mortality rates remained high and largely unaltered. Diabetes was the most common comorbidity, while higher age, female sex and increasing comorbidity index were associated to increased mortality. Survival was improved in those admitted to hospitals with more expertise in treating NSTI. In high-volume hospital, HBOT was associated with decreased odds for mortality.

Predictive Value of the Age-Adjusted Charlson Comorbidity Index for Outcomes After Hepatic Resection of Hepatocellular Carcinoma

BACKGROUND

This study aimed to evaluate the impact of the age-adjusted Charlson comorbidity index (ACCI) on outcomes after hepatic resection for hepatocellular carcinoma (HCC).

METHODS

We assessed 763 patients who underwent hepatic resection for HCC. The ACCI scores were categorized as follows: ACCI ≤ 5, ACCI = 6, and ACCI ≥ 7.

RESULTS

A multivariate analysis showed that the odds ratios for postoperative complications in ACCI = 6 and ACCI ≥ 7 groups, with reference to ACCI ≤ 5 group, were 0.71 (p = 0.41) and 4.15 (p < 0.001), respectively. The hazard ratios for overall survival of ACCI = 6 and ACCI ≥ 7 groups, with reference to ACCI ≤ 5 group, were 1.52 (p = 0.023) and 2.45 (p < 0.001), respectively. The distribution of deaths due to HCC-related, liver-related, and other causes was 68.2%, 11.8%, and 20% in ACCI ≤ 5 group, 47.2%, 13.9%, and 38.9% in ACCI = 6 group, and 27.3%, 9.1%, and 63.6% in ACCI ≥ 7 group (p = 0.053; ACCI ≤ 5 vs. = 6, p = 0.19; ACCI = 6 vs. ≥ 7, p < 0.001; ACCI ≤ 5 vs. ≥ 7). In terms of the treatment for HCC recurrence in ACCI ≤ 5, ACCI = 6, and ACCI ≥ 7 groups, adaptation rate of surgical resection was 20.1%, 7.3%, and 11.1% and the rate of palliative therapy was 4.3%, 12.2%, and 22.2%, respectively.

CONCLUSIONS

The ACCI predicted the short-term and long-term outcomes after hepatic resection of HCC. These findings will help physicians establish a treatment strategy for HCC patients with comorbidities.

Risk factors for early death among ovarian cancer patients: a nationwide cohort study

Objective

To characterize ovarian cancer patients who die within 6 months of diagnosis and to identify prognostic factors for these early deaths.

Methods

A nationwide cohort study covering ovarian cancer in Denmark in 2005–2016. Tumor and patient characteristics including comorbidity and socioeconomic factors were obtained from the comprehensive Danish national registers.

Results

A total of 5,570 patients were included in the study. Three months after ovarian cancer diagnosis 456 (8.2%) had died and 664 (11.9%) died within 6 months of diagnosis. Adjusted for age and comorbidity, patients who died early were admitted to hospital significantly more often in a 6-month period before the diagnosis (odds ratio [OR]=1.61 [1.29–2.00], and OR=1.47 [1.21–1.78]), for patients who died within 3 and 6 months respectively). Low educational level (OR=2.11), low income (OR=2.50) and singlehood (OR=1.90) were factors significantly associated with higher risk of early death. The discriminative ability of risk factors in identifying early death was assessed by cross-validated area under the receiver operating characteristic curve (AUC). The AUC was found to be 0.91 (0.88–0.93) and 0.90 (0.87–0.92) for death within 3 and 6 months, respectively.

Conclusions

Despite several admissions to hospital, the ovarian cancer diagnosis is delayed for a subgroup of patients, who end up dying early, probably due to physical deterioration in the ineffective waiting time. Up to 90% of high-risk patients might be identified significantly earlier to improve the prognosis. The admittance of the patients having risk symptoms should include fast track investigation for ovarian cancer.

Complications and Survivorship Trends After Primary Debulking Surgery for Ovarian Cancer

BACKGROUND

We examined factors associated with postoperative complications, 1-year overall and cancer-specific survival after epithelial ovarian cancer (EOC) diagnosis.

METHODS

Patients who underwent surgery for EOC between 2004 and 2013 were included. Multivariable models analyzed postoperative complications, overall survival, and cancer-specific survival.

RESULTS

Among 5223 patients, surgical complications were common. Postoperative complications correlated with increased odds of overall and disease-specific survival at 1 y. Receipt of chemotherapy was similar among women with and without postoperative complications and was independently associated with a reduction in the hazard of overall and disease-specific death at 1-year. Extensive pelvic and upper abdomen surgery resulted in 2.26 times the odds of postoperative complication, but was associated with longer 1-year overall 0.53 (0.35, 0.82) and disease-specific survival 0.54 (0.34, 0.85).

CONCLUSIONS

Although extent of surgery was associated with complications, the survival benefit from comprehensive surgery offset the risk. Tailored surgical treatment for women with EOC may improve outcomes.

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.

Optimal cutoff age for predicting prognosis associated with serous epithelial ovarian cancer: what is the best age cutoff?

Objective

Elderly age is one of the poor prognostic factors in epithelial ovarian cancer (EOC), but the optimal age cut-off is not known. The present study sought to identify the ideal age cutoff that represents a negative prognostic factor in EOC, considering the geriatric assessment.

Methods

Hazard ratios (HRs) with p-values were calculated using all possible age cutoffs with stage, histology, grade, optimality and comorbidities as covariates in multivariate Cox regression model. The trends of p-value and HR by age cutoff were further evaluated in a subgroup of histology and in The Cancer Genome Atlas (TCGA) dataset. In addition, propensity score-matching analysis using the identified age cutoff was performed.

Results

An age of 66 years was shown to be the most significant cutoff for defining old age with independent prognostic power (HR=1.45; 95% confidence interval=1.04–2.03; p=0.027). This result was also observed with the analyses of serous histology subgroup and with the analysis of a TCGA dataset with serous EOC. In survival analysis, patients aged ≥66 years had significantly worse overall survival compared with younger individuals (56 months vs. 87 months; p=0.006), even following propensity score matching (57 vs. 78 months; p=0.038).

Conclusion

An age of 66 years is the best cutoff to define elderly age in serous EOC patients considering the geriatric assessment, and this information can be used in the administration of individualized therapies in elderly EOC patients.

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.

Ovarian Cancer Management in the Oldest Old: Improving Outcomes and Tailoring Treatments

Ovarian cancer is the most common cause of death from gynecological cancers in developed countries. It is a common disease of older women at or above 63 years upon diagnosis. Thanks to advance in new treatments, mortality from ovarian cancer has declined in developed countries in the last decade. This decline in mortality rate is unevenly distributed across the age-spectrum. While mortality in younger women has decreased 21.7%, for elderly women it has declined only 2.2%. Even if ovarian cancer is clearly a disease of the elderly, older women are underrepresented in clinical trials, and scant evidence exists for the treatment of women older than 80 years. Moreover, older women are frequently undertreated, receive less chemotherapy and less combination of surgery and chemotherapy, despite the fact that this is considered the optimal treatment modality. This may be mainly due to the lack of evidence and physician’s confidence in the management of elderly women with ovarian cancer. In this review, we focus on the management of older women with ovarian cancer, considering geriatric features tied to this population.

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.

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.

Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies

Cigarette smoking is associated with an increased risk of developing mucinous ovarian tumors but whether it is associated with ovarian cancer survival overall or for the different histotypes is unestablished. Furthermore, it is unknown whether the association between cigarette smoking and survival differs according to strata of ovarian cancer stage at diagnosis. In a large pooled analysis, we evaluated the association between various measures of cigarette smoking and survival among women with epithelial ovarian cancer. We obtained data from 19 case-control studies in the Ovarian Cancer Association Consortium (OCAC), including 9,114 women diagnosed with ovarian cancer. Cox regression models were used to estimate adjusted study-specific hazard ratios (HRs), which were combined into pooled hazard ratios (pHR) with corresponding 95% confidence intervals (CIs) under random effects models. Overall, 5,149 (57%) women died during a median follow-up period of 7.0 years. Among women diagnosed with ovarian cancer, both current (pHR = 1.17, 95% CI: 1.08-1.28) and former smokers (pHR = 1.10, 95% CI: 1.02-1.18) had worse survival compared with never smoking women. In histotype-stratified analyses, associations were observed for mucinous (current smoking: pHR = 1.91, 95% CI: 1.01-3.65) and serous histotypes (current smoking: pHR = 1.11, 95% CI: 1.00-1.23; former smoking: pHR = 1.12, 95% CI: 1.04-1.20). Further, our results suggested that current smoking has a greater impact on survival among women with localized than disseminated disease. The identification of cigarette smoking as a modifiable factor associated with survival has potential clinical importance as a focus area to improve ovarian cancer prognosis.

History of hypertension, heart disease, and diabetes and ovarian cancer patient survival: evidence from the ovarian cancer association consortium

PURPOSE

Survival following ovarian cancer diagnosis is generally low; understanding factors related to prognosis could be important to optimize treatment. The role of previously diagnosed comorbidities and use of medications for those conditions in relation to prognosis for ovarian cancer patients has not been studied extensively, particularly according to histological subtype.

METHODS

Using pooled data from fifteen studies participating in the Ovarian Cancer Association Consortium, we examined the associations between history of hypertension, heart disease, diabetes, and medications taken for these conditions and overall survival (OS) and progression-free survival (PFS) among patients diagnosed with invasive epithelial ovarian carcinoma. We used Cox proportional hazards regression models adjusted for age and stage to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) overall and within strata of histological subtypes.

RESULTS

History of diabetes was associated with increased risk of mortality (n = 7,674; HR = 1.12; 95% CI = 1.01-1.25). No significant mortality associations were observed for hypertension (n = 6,482; HR = 0.95; 95% CI = 0.88-1.02) or heart disease (n = 4,252; HR = 1.05; 95% CI = 0.87-1.27). No association of these comorbidities was found with PFS in the overall study population. However, among patients with endometrioid tumors, hypertension was associated with lower risk of progression (n = 339, HR = 0.54; 95% CI = 0.35-0.84). Comorbidity was not associated with OS or PFS for any of the other histological subtypes. Ever use of beta blockers, oral antidiabetic medications, and insulin was associated with increased mortality, HR = 1.20; 95% CI = 1.03-1.40, HR = 1.28; 95% CI = 1.05-1.55, and HR = 1.63; 95% CI = 1.20-2.20, respectively. Ever use of diuretics was inversely associated with mortality, HR = 0.71; 95% CI = 0.53-0.94.

CONCLUSIONS

Histories of hypertension, diabetes, and use of diuretics, beta blockers, insulin, and oral antidiabetic medications may influence the survival of ovarian cancer patients. Understanding mechanisms for these observations could provide insight regarding treatment.

Subtypes of Ovarian Cancer and Ovarian Cancer Screening

Ovarian cancer is the foremost cause of gynecological cancer death in the developed world, as it is usually diagnosed at an advanced stage. In this paper we discuss current issues, the efficacy and problems associated with ovarian cancer screening, and compare the characteristics of ovarian cancer subtypes. There are two types of ovarian cancer: Type I carcinomas, which are slow-growing, indolent neoplasms thought to arise from a precursor lesion, which are relatively common in Asia; and Type II carcinomas, which are clinically aggressive neoplasms that can develop de novo from serous tubal intraepithelial carcinomas (STIC) and/or ovarian surface epithelium and are common in Europe and the USA. One of the most famous studies on the subject reported that annual screening using CA125/transvaginal sonography (TVS) did not reduce the ovarian cancer mortality rate in the USA. In contrast, a recent study in the UK showed an overall average mortality reduction of 20% in the screening group. Another two studies further reported that the screening was associated with decreased stage at detection. Theoretically, annual screening using CA125/TVS could easily detect precursor lesions and could be more effective in Asia than in Europe and the USA. The detection of Type II ovarian carcinoma at an early stage remains an unresolved issue. The resolving power of CA125 or TVS screening alone is unlikely to be successful at resolving STICs. Biomarkers for the early detection of Type II carcinomas such as STICs need to be developed.

Danish Gynecological Cancer Database

Aim of database

The Danish Gynecological Cancer Database (DGCD) is a nationwide clinical cancer database and its aim is to monitor the treatment quality of Danish gynecological cancer patients, and to generate data for scientific purposes. DGCD also records detailed data on the diagnostic measures for gynecological cancer.

Study population

DGCD was initiated January 1, 2005, and includes all patients treated at Danish hospitals for cancer of the ovaries, peritoneum, fallopian tubes, cervix, vulva, vagina, and uterus, including rare histological types.

Main variables

DGCD data are organized within separate data forms as follows: clinical data, surgery, pathology, pre- and postoperative care, complications, follow-up visits, and final quality check. DGCD is linked with additional data from the Danish “Pathology Registry”, the “National Patient Registry”, and the “Cause of Death Registry” using the unique Danish personal identification number (CPR number).

Descriptive data

Data from DGCD and registers are available online in the Statistical Analysis Software portal. The DGCD forms cover almost all possible clinical variables used to describe gynecological cancer courses. The only limitation is the registration of oncological treatment data, which is incomplete for a large number of patients.

Conclusion

The very complete collection of available data from more registries form one of the unique strengths of DGCD compared to many other clinical databases, and provides unique possibilities for validation and completeness of data. The success of the DGCD is illustrated through annual reports, high coverage, and several peer-reviewed DGCD-based publications.

Clinical Efficacy of Ovarian Cancer Screening

Various trials of ovarian cancer screening programs have been reported worldwide. In 2011, one of the most famous papers indicated that annual screening using CA125/transvaginal sonography (TVS) did not reduce ovarian cancer mortality in the United States of America (USA). To investigate the validity of ovarian cancer screening, we verified the analyses of previous reports. At first, we obtained the USA datasets that were used for the analyses and identified many patients in whom cancers were accidentally detected several years after the screening period. We thus performed a new prognostic comparison between the screening group (cancers that were detected through screening or within one year after screening) and the control group (cancers that were found more than one year after screening, without screening, or in the original control group). The results showed that the prognoses of the screening group were significantly better than those of the control group (p=0.0017). In addition, the screening group contained significantly fewer stage IV cases than the control group (p=0.005). In another screening in the United Kingdom, ovarian cancer was detected at a relatively earlier stage (stage I/II: 44%), while the rate of stage IV detection was low (4%). Very recently, this team showed significant difference in the rates with and without screening (p=0.021) when prevalent cases were excluded and indicated the delayed effect of screening. These results contrasted with the USA data. In other studies in the USA and Japan, annual screening was also associated with a decreased stage at detection. New histopathological, molecular and genetic studies have recently provided two categories of ovarian carcinogenesis. Type I carcinomas are slow-growing neoplasms that often develop from benign ovarian cysts. Type II carcinomas are high-grade clinically aggressive neoplasms. The rate of type II carcinomas is significantly higher in Europe and the USA than in Asia (p<0.001). Conversely, type I carcinomas are relatively common in Asia. These data theoretically imply that annual screening would be more effective in Asia.

Predictors of mortality within 1 year after primary ovarian cancer surgery: a nationwide cohort study

OBJECTIVES

To identify predictors of mortality within 1 year after primary surgery for ovarian cancer.

DESIGN

Prospective nationwide cohort study from 1 January 2005 to 31 December 2012.

SETTING

Evaluation of data from the Danish Gynaecology Cancer Database and the Danish Civil Registration System.

PARTICIPANTS

2654 women who underwent surgery due to a diagnosis of primary ovarian cancer.

OUTCOME MEASURES

Overall survival and predictors of mortality within 0-180 and 181-360 days after the primary surgery. Examined predictors were age, preoperative American Society of Anesthesiologists (ASA) score, body mass index (BMI), International Federation of Gynaecology and Obstetrics (FIGO) stage, residual tumour tissue after surgery, perioperative blood transfusion and calendar year of surgery.

RESULTS

The overall 1-year survival was 84%. Within 0-180 days after surgery, the 3 most important predictors of mortality from the multivariable model were residual tumour tissue >2 cm versus no residual tumour (HR=4.58 (95% CI 3.20 to 6.59)), residual tumour tissue ≤2 cm versus no residual tumour (HR=2.50 (95% CI 1.63 to 3.82)) and age >64 years versus age ≤64 years (HR=2.33 (95% CI 1.69 to 3.21)). Within 181-360 days after surgery, FIGO stages III-IV versus I-II (HR=2.81 (95% CI 1.75 to 4.50)), BMI<18.5 vs 18.5-25 kg/m(2) (HR=2.08 (95% CI 1.18 to 3.66)) and residual tumour tissue >2 cm versus no residual tumour (HR=1.84 (95% CI 1.25 to 2.70)) were the 3 most important predictors.

CONCLUSIONS

The most important predictors of mortality within 1 year after surgery were residual tumour tissue (0-180 days after surgery) and advanced FIGO stage (181-360 days after surgery). However, our results suggest that the surgeon should not just aim at radical surgery, but also pay special attention to comorbidity, nutritional state, age >64 years and the need for perioperative blood transfusion.

A new clinically applicable age-specific comorbidity index for preoperative risk assessment of ovarian cancer patients

OBJECTIVE

To develop and validate a new feasible comorbidity index based on self-reported information suited for preoperative risk assessment of ovarian cancer patients.

METHODS

The study was based on patient self-reported data from ovarian cancer patients registered in the Danish Gynecological Cancer Database between January 1, 2005 and December 31, 2012. The study population was divided into a development cohort (n=2020) and a validation cohort (n=1975). Age-stratified multivariate Cox regression analyses were conducted to identify comorbidities significantly impacting five-year overall survival in the development cohort, and regression coefficients were used to construct a new weighted comorbidity index. The index was applied to the validation cohort, and its predictive ability in regard to overall and cancer-specific five-year-survival was investigated. Finally, the performance of the new index was compared to that of the Charlson Comorbidity Index.

RESULTS

Regression coefficients of age and five comorbidities (atherosclerotic cardiac disease, chronic obstructive pulmonary disease, diabetes, dementia and hypertension) were included in the new comorbidity index. The validation study found the new index to be significantly associated to both overall survival (HR 1.44, p=0.013) and cancer-specific survival (HR 1.51, p=0.017) in multivariate analyses adjusted for other prognostic factors. The index was a significantly better predictor than the Charlson Comorbidity Index.

CONCLUSION

This new age-specific comorbidity index based on self-reported information is a significant predictor of overall and cancer-specific survival in ovarian cancer. It can be used to quickly identify those ovarian cancer patients requiring special attention in terms of preoperative optimization and postoperative care.

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.

First line palliative chemotherapy in elderly patients with advanced soft tissue sarcoma

BACKGROUND

The efficacy and toxicity of first line palliative chemotherapy for soft tissue sarcomas (STS) in the elderly is poorly described.

METHODS

Patients over the age of 65 years receiving first line chemotherapy for advanced non-GIST STS January 1998 - January 2012 at the Royal Marsden Hospital were identified. Data regarding survival and predictive factors were collected retrospectively.

RESULTS

120 patients (52 females) with a median age of 72 (range 65-83) were treated. The most common histological subtypes were undifferentiated sarcoma (30%), leiomyosarcoma (27%), angiosarcoma (14%). 42% of patients had high grade tumours. 70% of patients had metastatic disease at presentation; lung metastasis being the most common disease site (72%). 80% received single agent chemotherapy, mostly with doxorubicin (60%). The median number of cycles was 2 (IQR 3). A partial response was reported in 20% of patients with disease stabilisation in a further 20%. 38% of patients were hospitalised for chemotherapy related toxicity. The median overall survival (OS) was 6.5 months (95% CI 4.7-8.3). Anaemia, lymphopenia, hypoalbuminemia, sarcoma subtype and co-morbidities were predictive for overall survival.

CONCLUSION

The overall survival for elderly patients with STS is poor but several predictive factors have been identified. Hospital admissions for chemotherapy related toxicity are common.

Risk of Ovarian Cancer Relapse score: a prognostic algorithm to predict relapse following treatment for advanced ovarian cancer

OBJECTIVE

The aim of this study was to construct a prognostic index that predicts risk of relapse in women who have completed first-line treatment for ovarian cancer (OC).

METHODS

A database of OC cases from 2000 to 2010 was interrogated for International Federation of Gynecology and Obstetrics stage, grade and histological subtype of cancer, preoperative and posttreatment CA-125 level, presence or absence of residual disease after cytoreductive surgery and on postchemotherapy computed tomography scan, and time to progression and death. The strongest predictors of relapse were included into an algorithm, the Risk of Ovarian Cancer Relapse (ROVAR) score.

RESULTS

Three hundred fifty-four cases of OC were analyzed to generate the ROVAR score. Factors selected were preoperative serum CA-125, International Federation of Gynecology and Obstetrics stage and grade of cancer, and presence of residual disease at posttreatment computed tomography scan. In the validation data set, the ROVAR score had a sensitivity and specificity of 94% and 61%, respectively. The concordance index for the validation data set was 0.91 (95% confidence interval, 0.85-0.96). The score allows patient stratification into low (<0.33), intermediate (0.34-0.67), and high (>0.67) probability of relapse.

CONCLUSIONS

The ROVAR score stratifies patients according to their risk of relapse following first-line treatment for OC. This can broadly facilitate the appropriate tailoring of posttreatment care and support.

Resident participation in laparoscopic hysterectomy: impact of trainee involvement on operative times and surgical outcomes

OBJECTIVE

The purpose of this study was to determine the impact of resident involvement on morbidity after total laparoscopic hysterectomy for benign disease.

STUDY DESIGN

We performed a retrospective review of a National Surgical Quality Improvement Program database of total laparoscopic hysterectomy for benign disease that was performed with resident involvement vs attending alone between Jan. 1, 2008, and Dec. 31, 2011. Surgical operative times and morbidity and mortality rates were compared. Binary logistic regression was used to control for covariates that were significant on univariate analysis (P < .05).

RESULTS

A total of 3441 patients were identified as having undergone a total laparoscopic hysterectomy for benign disease. The mean age of patients was 47.4 ± 11.1 years; the mean body mass index was 30.6 ± 7.9 kg/m(2). A resident participated in 1591 of cases (46.2%); 1850 of the procedures (53.8%) were done by an attending physician alone. Cases with resident involvement had higher mean age, Charlson morbidity scoring, and American Society of Anesthesiologists classification and were more likely to be inpatient cases. With resident involvement, the mean operative time was increased (179.29 vs 135.46 minutes; P < .0001). There were no differences in the rates of experiencing at least 1 complication (6.8% for resident involvement vs 5.4% for attending alone; P = .5), composite severe morbidity (1.3% resident vs 1.0% attending alone), or 30-day mortality rate (0% resident vs 0.1% attending alone). Additionally, there were no differences between groups in the infectious, wound, neurorenal, thromboembolic, septic, and cardiopulmonary complications. Cases with resident involvement had significantly increased rates of postoperative transfusion of packed red blood cells (2% vs 0.4%; P < .0001), reoperation (2.2% vs 1.3%; P = .048), and a 30-day readmission (5.5% vs 2.9%; P = .015). In models that were adjusted for factors that differed between the 2 groups, cases with resident involvement had increased odds of receiving postoperative blood transfusion (odds ratio [OR], 4.98; 95% confidence interval [CI], 2.18-11.33), reoperation (OR, 1.7, 95% CI, 1.01-2.89) and readmission (OR, 1.93, 95% CI, 1.09-3.42).

CONCLUSION

Resident involvement in total laparoscopic hysterectomy for benign disease was associated with clinically appreciable longer surgical time and small differences in the rates of postoperative transfusions, reoperation, and readmission. However, the rates of overall complications, severe complications, and 30-day mortality rate remain comparable.

Determinants of quality of life in ovarian cancer survivors: a pilot study

OBJECTIVE

Ovarian cancer treatments and outcomes vary substantially, yielding a diverse group of survivors. Few data exist on quality of life (QoL) concerns and the foremost needs of these patients. Our goal was to conduct a pilot study to determine the QoL needs of ovarian cancer survivors to establish priorities for future interventions.

METHODS

In this cross-sectional study, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaires (EORTC QLQ-C30 and OV28) QoL questionnaires and one investigator-derived questionnaire were administered in an outpatient setting. Clinical parameters were abstracted and tested for associations with QoL measures.

RESULTS

A total of 102 women consented to participate and completed all components. Their mean age was 58 years (range 29 to 85), with 80% having epithelial ovarian carcinoma and 66% high-grade serous carcinoma. Women with stage I (28%), II (15%), III (47%), and IV (10%) lesions were represented in the primary treatment (25%), surveillance (46%), recurrent (23%), and palliative (7%) phases of the survivorship continuum. Fifty-one percent characterized their disease burden as "quite a bit" or "very much," and this did not vary by histology or diagnoses. Global QoL did not vary by clinico-pathologic parameters. Cardiovascular and respiratory comorbidities were associated with EORTC scores in physical functioning (P=0.027 for cardiovascular and P=0.041 for respiratory), global QoL (P=0.03 for cardiovascular and P=0.039 for respiratory), and sexual health (P=0.025 for cardiovascular). Task completion/memory/concentration, anxiety, and fatigue were the distress categories given highest priority by respondents.

CONCLUSION

In women with ovarian cancer, clinical factors such as age, stage, and histology did not have a significant impact on QoL. Psychosocial factors have a larger impact on global QoL than physical symptoms.

Influence of comorbidity on cancer patients' rehabilitation needs, participation in rehabilitation activities and unmet needs: a population-based cohort study

PURPOSE

This study aims to investigate possible associations between cancer survivors' comorbidity status and their (1) need for rehabilitation, (2) participation in rehabilitation activities and (3) unmet needs for rehabilitation in a 14-month period following date of diagnosis.

METHODS

We performed a population-based cohort study including incident cancer patients diagnosed from 1 October 2007 to 30 September 2008 in two regions in Denmark. Fourteen months after diagnosis, participants completed a questionnaire measuring different aspects and dimensions of rehabilitation. Individual information on comorbidity was based on hospital contacts from 1994 and until diagnosis, subsequently classified according to the Charlson comorbidity index. Logistic regression analyses were used to explore the association between comorbidity and outcomes for rehabilitation. Analyses were conducted overall and stratified for gender, age and cancer type.

RESULTS

A total of 3,439 patients responded (70%). Comorbidity at all levels was statistically significant associated with a physical rehabilitation need, and moderate to severe comorbidity was statistically significant associated with a need in the emotional, family-oriented and financial areas as well as participation in physical-related rehabilitation activities. Stratified analyses showed that significant results in most cases were related to being older than 65 years or having colorectal or prostate cancer.

CONCLUSIONS

Comorbidity at all levels was significantly associated with needs for physical rehabilitation. Moderate to severe comorbidity was further associated with other areas of need and participation in physical area activities. This should be taken into account when planning rehabilitation interventions for cancer survivors. Differences among subgroups could help target interventions and should be explored further.

MicroRNA-23b is an independent prognostic marker and suppresses ovarian cancer progression by targeting runt-related transcription factor-2

Our previous study found that runt-related transcription factor-2 (RUNX2) was upregulated in human epithelial ovarian cancer (EOC) tissues and may be involved in tumor progression and prognosis. The aim of this study was to investigate the mechanism by which RUNX2 is aberrantly expressed in EOC. We firstly confirmed that miRNA-23b directly targets RUNX2 in EOC. Then, ectopic expression of miR-23b significantly inhibited ovarian cancer cell proliferation and tumorigenicity by regulating the expression of RUNX2. Furthermore, the down-regulation of miR-23b was significantly correlated with tumor aggressiveness and poor prognosis of patients with EOC. Collectively, miR-23b may function as tumor suppressor through inhibiting the upregulation of RUNX2, and may be a potential prognostic marker for EOC.

Mediation analysis of the relationship between institutional research activity and patient survival

Background

Recent studies have suggested that patients treated in research-active institutions have better outcomes than patients treated in research-inactive institutions. However, little attention has been paid to explaining such effects, probably because techniques for mediation analysis existing so far have not been applicable to survival data.

Methods

We investigated the underlying mechanisms using a recently developed method for mediation analysis of survival data. Our analysis of the effect of research activity on patient survival was based on 352 patients who had been diagnosed with advanced ovarian cancer at 149 hospitals in 2001. All hospitals took part in a quality assurance program of the German Cancer Society. Patient outcomes were compared between hospitals participating in clinical trials and non-trial hospitals. Surgical outcome and chemotherapy selection were explored as potential mediators of the effect of hospital research activity on patient survival.

Results

The 219 patients treated in hospitals participating in clinical trials had more complete surgical debulking, were more likely to receive the recommended platinum-taxane combination, and had better survival than the 133 patients treated in non-trial hospitals. Taking into account baseline confounders, the overall adjusted hazard ratio of death was 0.58 (95% confidence interval: 0.42 to 0.79). This effect was decomposed into a direct effect of research activity of 0.67 and two indirect effects of 0.93 each mediated through either optimal surgery or chemotherapy. Taken together, about 26% of the beneficial effect of research activity was mediated through the proposed pathways.

Conclusions

Mediation analysis allows proceeding from the question “Does it work?” to the question “How does it work?” In particular, we have shown that the research activity of a hospital contributes to superior patient survival through better use of surgery and chemotherapy. This methodology may be applied to analyze direct and indirect natural effects for almost any combination of variable types.

Mediation analysis of the relationship between institutional research activity and patient survival

BACKGROUND

Recent studies have suggested that patients treated in research-active institutions have better outcomes than patients treated in research-inactive institutions. However, little attention has been paid to explaining such effects, probably because techniques for mediation analysis existing so far have not been applicable to survival data.

METHODS

We investigated the underlying mechanisms using a recently developed method for mediation analysis of survival data. Our analysis of the effect of research activity on patient survival was based on 352 patients who had been diagnosed with advanced ovarian cancer at 149 hospitals in 2001. All hospitals took part in a quality assurance program of the German Cancer Society. Patient outcomes were compared between hospitals participating in clinical trials and non-trial hospitals. Surgical outcome and chemotherapy selection were explored as potential mediators of the effect of hospital research activity on patient survival.

RESULTS

The 219 patients treated in hospitals participating in clinical trials had more complete surgical debulking, were more likely to receive the recommended platinum-taxane combination, and had better survival than the 133 patients treated in non-trial hospitals. Taking into account baseline confounders, the overall adjusted hazard ratio of death was 0.58 (95% confidence interval: 0.42 to 0.79). This effect was decomposed into a direct effect of research activity of 0.67 and two indirect effects of 0.93 each mediated through either optimal surgery or chemotherapy. Taken together, about 26% of the beneficial effect of research activity was mediated through the proposed pathways.

CONCLUSIONS

Mediation analysis allows proceeding from the question "Does it work?" to the question "How does it work?" In particular, we have shown that the research activity of a hospital contributes to superior patient survival through better use of surgery and chemotherapy. This methodology may be applied to analyze direct and indirect natural effects for almost any combination of variable types.