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

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.

Secondary validation of an ovarian cancer-specific comorbidity index in a US population

OBJECTIVES

The Ovarian Cancer Comorbidity Index (OCCI) is an age-specific index developed and previously found to be more predictive of overall and cancer-specific survival than the Charlson Comorbidity Index (CCI). The objective was to perform secondary validation of the OCCI in a US population.

METHODS

A cohort of ovarian cancer patients undergoing primary or interval cytoreductive surgery from January 2005 to January 2012 was identified in SEER-Medicare. OCCI scores were calculated with the regression coefficients determined from the original developmental cohort for five comorbidities. Cox regression analyses were used to calculate associations between the OCCI risk groups and 5-year overall survival and 5-year cancer-specific survival in comparison to the CCI.

RESULTS

A total of 5052 patients were included. Median age was 74 (range 66-82) years. 47% (n=2375) had stage III and 24% (n=1197) had stage IV disease at diagnosis. 67% had a serous histology subtype (n=3403). All patients were categorized as moderate (48.4%) or high risk (51.6%). The prevalence of the five predictive comorbidities were: coronary artery disease 3.7%, hypertension 67.5%, chronic obstructive pulmonary disease 16.7%, diabetes 21.8%, and dementia 1.2%. Controlling for histology, grade, and age-stratification, worse overall survival was associated with both a higher OCCI (hazard ratio (HR) 1.57; 95% confidence interval (CI) 1.46 to 1.69) and CCI (HR 1.96; 95% CI 1.66 to 2.32). Cancer-specific survival was associated with the OCCI (HR 1.33; 95% CI 1.22 to 1.44) but was not associated with the CCI (HR 1.15; 95% CI 0.93 to 1.43).

CONCLUSIONS

This internationally developed comorbidity score for ovarian cancer patients is predictive for both overall and cancer-specific survival in a US population. CCI was not predictive for cancer-specific survival. This score may have research applications when utilizing large administrative datasets.

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.

Patient-Reported Outcomes as Independent Prognostic Factors for Survival in Oncology: Systematic Review and Meta-Analysis

OBJECTIVES

Assessment of patient-reported outcomes (PROs) in oncology is of critical importance because it provides unique information that may also predict clinical outcomes.

METHODS

We conducted a systematic review of prognostic factor studies to examine the prognostic value of PROs for survival in cancer. A systematic literature search was performed in PubMed for studies published between 2013 and 2018. We considered any study, regardless of the research design, that included at least 1 PRO domain in the final multivariable prognostic model. The protocol (EPIPHANY) was published and registered in the International Prospective Register of Systematic Reviews (CRD42018099160).

RESULTS

Eligibility criteria selected 138 studies including 158 127 patients, of which 43 studies were randomized, controlled trials. Overall, 120 (87%) studies reported at least 1 PRO to be statistically significantly prognostic for overall survival. Lung (n = 41, 29.7%) and genitourinary (n = 27, 19.6%) cancers were most commonly investigated. The prognostic value of PROs was investigated in secondary data analyses in 101 (73.2%) studies. The EORTC QLQ-C30 questionnaire was the most frequently used measure, and its physical functioning scale (range 0-100) the most frequent independent prognostic PRO, with a pooled hazard ratio estimate of 0.88 per 10-point increase (95% CI 0.84-0.92).

CONCLUSIONS

There is convincing evidence that PROs provide independent prognostic information for overall survival across cancer populations and disease stages. Further research is needed to translate current evidence-based data into prognostic tools to aid in clinical decision making.

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.

The American College of Surgeon's surgical risk calculator's ability to predict disposition in older gynecologic oncology patients undergoing laparotomy

OBJECTIVES

The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) surgical risk calculator calculates risk of postoperative complications utilizing clinically apparent preoperative variables. If validated for patients with gynecologic cancers, this can be an effective tool in to use for shared decision-making, especially in the older (70+ years of age) patient population for whom surgical risks and potential loss of independence is increased. The primary objective of this study was to evaluate the ability of the ACS NSQIP surgical risk calculator to predict discharge to a post-acute care among older (age 70+ years) gynecologic oncology patients undergoing laparotomy. The secondary objectives were to assess its ability to predict postoperative complications and death.

METHODS

This was a retrospective cohort study of gynecologic oncology patients 70+ years of age undergoing laparotomy. Surgical procedures, 21 preoperative variables, postoperative complications, and patient disposition were abstracted from the medical record. Risk scores for seven postoperative complications and discharge to post-acute care were calculated. The association between risk scores and outcomes were assessed using logistic regression and predictive ability was evaluated using the c-statistic and Brier score.

RESULTS

204 surgeries were performed on 200 patients between January 1, 2009 and December 31, 2013. The mean age was 76.3 ± 5.1 years; 87% were independent at baseline. A total of 79 (41%) were discharged to post-acute care. The calculator's ability to predict discharge to post-acute care was reasonable (c- statistic =0.708, Brier = 0.205). Although the calculator did not accurately predict all postoperative complications, the calculator's ability to predict death was strong (c-statistic = 0.811, Brier = 0.015).

CONCLUSION

For older patients with an elevated calculated risk of discharge to post acute care the possibility of discharge to post-acute care should be discussed preoperatively. For patients with a higher risk of death, non-surgical management options should be considered when available.

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.

Temporal order of cancers and mental disorders in an adult population

BACKGROUND

Population-based examination of comorbidity is an emerging field of study.

AIMS

The purpose of the present population level study is to expand our understanding of how cancer and mental illness are temporally associated.

METHOD

A sample of 83 648 056 physician billing records for 664 838 (56% female) unique individuals over the age of 18 was stratified on ages 19-49 years and 50+ years, with temporal order of mental disorder and cancer forming the basis of comparison.

RESULTS

Mental disorders preceded cancers for both genders within each age strata. The full range of cancers and mental disorders preceding or following each pivot ICD class are described in terms of frequency of diagnosis and duration in days, with specific examples illustrated.

CONCLUSIONS

The temporal comorbidity between specific cancers and mental disorders may be useful in screening or clinical planning and may represent indicators of disease mechanism that warrant further screening or investigation.

DECLARATION OF INTEREST

None.

Type I Versus Type II Endometrial Cancer: Differential Impact of Comorbidity

OBJECTIVE

Two distinct types of endometrial carcinoma (EC) with different etiology, tumor characteristics, and prognosis are recognized. We investigated if the prognostic impact of comorbidity varies between these 2 types of EC. Furthermore, we studied if the recently developed ovarian cancer comorbidity index (OCCI) is useful for prediction of survival in EC.

MATERIALS AND METHODS

This nationwide register-based cohort study was based on data from 6487 EC patients diagnosed in Denmark between 2005 and 2015. Patients were assigned a comorbidity index score according to the Charlson comorbidity index (CCI) and the OCCI. Kaplan-Meier survival statistics and adjusted multivariate Cox regression analyses were used to investigate the differential association between comorbidity and overall survival in types I and II EC.

RESULTS

The distribution of comorbidities varied between the 2 EC types. A consistent association between increasing levels of comorbidity and poorer survival was observed for both types. Cox regression analyses revealed a significant interaction between cancer stage and comorbidity indicating that the impact of comorbidity varied with stage. In contrast, the interaction between comorbidity and EC type was not significant. Both the CCI and the OCCI were useful measurements of comorbidity, but the CCI was the strongest predictor in this patient population.

CONCLUSIONS

Comorbidity is an important prognostic factor in type I as well as in type II EC although the overall prognosis differs significantly between the 2 types of EC. The prognostic impact of comorbidity varies with stage but not with type of EC.

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.

Age-adjusted charlson comorbidity index score as predictor of prolonged postoperative ileus in patients with colorectal cancer who underwent surgical resection

Comorbidities had considerable effects on the development of postoperative ileus (POI). The primary aim of the present study was to determine the influence of the age-adjusted Charlson comorbidity index (ACCI) score on the risk of prolonged POI in patients with colorectal cancer who underwent surgical resection. Using the electronic Hospitalization Summary Reports, we identified 11,397 patients with colorectal cancer who underwent surgical resection from 2013 through 2015. Logistic regression models were applied to evaluate the effect of the ACCI score on the risk of prolonged POI. The ACCI score had a positive graded association with the risk of prolonged POI in both colon and rectal cancer (P for trend < 0.05). Among patients with rectal cancer, after adjusting for potential confounders, those with an ACCI score of 4-5 had a 108% higher risk of prolonged POI than those with an ACCI score of 0-1 (odds ratio [OR], 2.08; 95% confidence interval [CI], 1.09-3.98), and those with an ACCI score of ≥ 6 had a 130% higher risk (OR, 2.30; 95% CI, 1.08-4.89). Among patients with colon cancer, those with an ACCI score of ≥ 6 had a 47% greater risk of prolonged POI than those with an ACCI score of 0-1 (OR, 1.47; 95% CI, 1.07-2.02). These findings suggested that a higher ACCI score was an independent predictor of the development of prolonged POI.