Use of the Charlson Combined Comorbidity Index To Predict Postradiotherapy Quality of Life for Prostate Cancer Patients

Neighborhood greenness and long-term physical and psychosocial quality of life among prostate cancer survivors in the Health Professionals Follow-up Study

INTRODUCTION

Neighborhood greenness may benefit long-term prostate cancer survivorship by promoting physical activity and social integration, and reducing stress and exposure to air pollution, noise, and extreme temperatures. We examined associations of neighborhood greenness and long-term physical and psychosocial quality of life in prostate cancer survivors in the Health Professionals Follow-up Study.

METHODS

We included 1437 individuals diagnosed with non-metastatic prostate cancer between 2008 and 2016 across the United States. Neighborhood greenness within a 1230m buffer of each individual's mailing address was measured using the Landsat satellite image-based Normalized Difference Vegetation Index (NDVI). We fit generalized linear mixed effect models to assess associations of greenness (in quintiles) with longitudinal patient reported outcome measures on prostate cancer-specific physical and psychosocial quality of life, adjusting for time-varying individual- and neighborhood-level demographic factors and clinical factors.

RESULTS

The greatest symptom burden was in the sexual domain. More than half of survivors reported good memory function and the lack of depressive signs at diagnosis. In fully adjusted models, cumulative average greenness since diagnosis was associated with fewer vitality/hormonal symptoms (highest quintile, Q5, vs lowest quintile, Q1: mean difference: 0.46, 95% confidence interval [CI]: 0.81, -0.12). Other domains of physical quality of life (bowel symptoms, urinary incontinence, urinary irritation, and sexual symptoms) did not differ by greenness overall. Psychosocial quality of life did not differ by greenness overall (Q5 vs Q1, odds ratio [95% CI]: memory function: 1.01 [0.61, 1.73]; lack of depressive signs: 1.10 [0.63, 1.95]; and wellbeing: 1.17 [0.71, 1.91]).

CONCLUSION

During long-term prostate cancer survivorship, cumulative average 1230m greenness since diagnosis was associated with fewer vitality/hormonal symptoms. Other domains of physical quality of life and psychosocial quality of life did not differ by greenness overall. Limitations included potential non-differential exposure measurement error and NDVI's lack of time-activity pattern.

Perioperative Evaluation of the Physical Quality of Life of Patients with Non-Small Cell Lung Cancer: A Prospective Study

Surgery is the most effective treatment for early-stage lung cancer; however, it poses a higher physical burden than other treatment options. Therefore, understanding the perioperative course of patients is important. Using the Short Form Health Survey 36, we prospectively measured the physical quality of life of patients who underwent anatomical pulmonary resection for non-small cell lung cancer at Shonan Kamakura General Hospital, Kanagawa, Japan (n = 87). In the preoperative setting, patients who had lower performance status and lived alone had significantly worse physical quality of life scores on multivariate analysis (regression coefficient (95% confidence interval), -9.37 (-13.43--5.32) and -10.22 (-13.74--7.40), respectively, p < 0.0001 for both). At 6 months postoperatively, patients who stopped smoking within 1 year preoperatively (stopped smoking within 1 year vs. remote or never smokers, 41.0 ± 10.5 vs. 48.6 ± 7.2, p = 0.002), had lower performance status (0 vs. 1-2, 49.3 ± 6.6 vs. 38.6 ± 9.6, p < 0.0001), lived alone (living alone vs. living with somebody, 41.6 ± 9.7 vs. 48.1 ± 7.9, p = 0.021), and had higher comorbid burden (Charlson comorbidity index <3 vs. ≥3, 48.2 ± 6.9 vs. 39.1 ± 14.7, p = 0.003) had significantly worse physical quality of life scores on univariate analysis. More recent smoking (regression coefficient (95% confidence interval), -4.90 (-8.78-1.0), p = 0.014), lower performance status (8.90 (5.10-12.70), p < 0.0001), living alone (5.76 (1.39-10.13), p = 0.01), and higher comorbid burden (-6.94 (-11.78--2.10), p = 0.006) were significant independent predictors of worse postoperative physical quality of life on multivariate analysis. Therefore, patients with these conditions might need additional support to maintain their physical condition after anatomical lung cancer surgery.

Prostate cancer in Spain: A retrospective database analysis of hospital incidence and the direct medical costs

INTRODUCTION

The goal of this study is to determine the medical costs, comorbidity profile, and health care resources use of patients diagnosed with prostate cancer who have been treated in Spanish hospitals.

METHODS

The admission records of the patients diagnosed with prostate cancer used in the study were registered between January 2016 and December 2020. These records have been collected from a Spanish hospital discharge database and have been evaluated in a retrospective multicenter analysis.

RESULTS

8218 patients from the database met the criteria and were thus analyzed. The median aged of the diagnosed patients was 71.68 years. The median Charlson comorbidity index (CCI) score was 4, and the updated median CCI was 3. Hypertension was diagnosed in the 49.76% of the individuals, 37.03% had chronic obstructive pulmonary disease and 34.51% had hyperlipidaemia. The mortality rate was 9.30%. The most common medical procedure was prostate resection with percutaneous endoscopic approach (31.18%). The mean annual cost per admission was 5212.98€ €.

CONCLUSIONS

Technologies, such as the prostate-specific antigen (PSA) testing for screening has helped in the diagnosis in the past decades, enhancing a decrease in the mortality rate of the patients throughout the years.

Prevalence of sleep disturbances and their effects on quality of life in adults with untreated pituitary tumor and meningioma

PURPOSE

To explore the prevalence of sleep disturbances and their effects on quality of life in adults with pituitary tumor or meningioma.

METHODS

This prospective study included 33 and 44 patients with pituitary tumor and meningioma, respectively. All participants completed a series of valid questionnaires for assessing sleep and quality of life; all participants wore 3-day actigraph prior to related treatment. The actigraph-derived sleep parameters included total sleep time, sleep onset latency, wake after sleep onset, sleep efficiency, and dichotomy index (I < O) value.

RESULTS

The prevalence of insomnia, excessive daytime sleepiness, and poor sleep quality was 46.8%, 6.5%, and 81.8%, respectively. The differences in these sleep parameters between patients with pituitary tumor and those with meningioma were nonsignificant. Only 27 participants completed the actigraphic assessments. The mean I < O value was 95.99%, and nearly 60% participants exhibited circadian rhythm disruption. Sleep quality was the only sleep variable independently correlated with preoperative quality of life, even after adjustments for confounders (B = 0.80, p = 0.02).

CONCLUSIONS

Insomnia, poor sleep quality, and disrupted circadian rhythm are highly prevalent in adults with untreated pituitary tumor or meningioma. Sleep quality independently correlated with quality of life. We indirectly confirmed that tumor location may not be a possible cause of sleep changes.

Derivation and validation of a novel comorbidity-based delirium risk index to predict postoperative delirium using national administrative healthcare database

OBJECTIVE

To derive and validate a comorbidity-based delirium risk index (DRI) to predict postoperative delirium.

DATA SOURCE/STUDY SETTING

Data of 506 438 hip fracture repair surgeries from 2006 to 2016 were collected to derive DRI and perform internal validation from the Premier Healthcare Database, which provided billing information on 20-25 percent of hospitalizations in the USA. Additionally, data of 1 130 569 knee arthroplasty surgeries were retrieved for external validation.

STUDY DESIGN

Thirty-six commonly seen comorbidities were evaluated by logistic regression with the outcome of postoperative delirium. The hip fracture repair surgery cohort was separated into a training dataset (60 percent) and an internal validation (40 percent) dataset. The least absolute shrinkage and selection operator (LASSO) procedure was applied for variable selection, and weights were assigned to selected comorbidities to quantify corresponding risks. The newly developed DRI was then compared to the Charlson-Deyo Index for goodness-of-fit and predictive ability, using the Akaike information criterion (AIC), Bayesian information criterion (BIC), area under the ROC curve (AUC) for goodness-of-fit, and odds ratios for predictive performance. Additional internal validation was performed by splitting the data by four regions and in 4 randomly selected hospitals. External validation was conducted in patients with knee arthroplasty surgeries.

DATA COLLECTION

Hip fracture repair surgeries, knee arthroplasty surgeries, and comorbidities were identified by using ICD-9 codes. Postoperative delirium was defined by using ICD-9 codes and analyzing billing information for antipsychotics (specifically haloperidol, olanzapine, and quetiapine) typically recommended to treat delirium.

PRINCIPAL FINDINGS

The derived DRI includes 14 comorbidities and assigns comorbidities weights ranging from 1 to 6. The DRI outperformed the Charlson-Deyo Comorbidity Index with better goodness-of-fit and predictive performance.

CONCLUSIONS

Delirium risk index is a valid comorbidity index for covariate adjustment and risk prediction in the context of postoperative delirium. Future work is needed to test its performance in different patient populations and varying definitions of delirium.

Prospective assessment of demographic characteristics associated with worse health related quality of life measures following definitive chemoradiation in patients with locally advanced non-small cell lung cancer

Background

The purpose of this study was to evaluate baseline demographic characteristics which may be associated with worse health related quality of life (HRQOL) for patients with locally advanced non-small cell lung cancer (NSCLC) receiving definitive chemoradiation (CRT).

Materials

Patients with NSCLC were prospectively enrolled on an Institutional Review Board-approved clinical trial between 2009 and 2012. HRQOL assessments were collected pre-radiation therapy (RT), during RT, and within 3 months post-RT using Euroqol (EQ-5D), MD Anderson Symptom Inventory (MDASI), and Functional Assessment of Cancer Therapy General (FACT-G). HRQOL correlation was assessed with categorical variables by Wilcoxon rank sum tests and with continuous variables by Pearson correlation. P<0.05 was defined as statistically significant.

Results

Forty-three consecutive patients received definitive concurrent CRT and completed assessments at one or more time-points. Patients most commonly had stage IIIB disease (72%), were married or with a partner (70%) and Caucasian (91%). Median patient age was 65 (range: 39-79) years and Charlson comorbidity index (CCI) was 0 (range: 0-5). Female gender, African-American ethnicity, age, chemotherapy type, baseline hemoglobin, and CCI were associated with worse post-treatment HRQOL measures.

Conclusions

We have identified novel characteristics associated with worse quality of life following definitive CRT for lung cancer. Patients at risk for worse post-treatment quality of life may benefit from earlier follow-up and greater supportive measures following treatment.

Thoracotomy and VATS Surgery in Local Non-Small-Cell Lung Cancer: Differences in Long-Term Health-Related Quality Of Life

BACKGROUND

As a result of routine low-dose computed tomographic screening, lung cancer is more frequently diagnosed at earlier, operable stages of disease. In treating local non-small-cell lung cancer, video-assisted thoracoscopic surgery (VATS), a minimally invasive surgical approach, has replaced thoracotomy as the standard of care. While short-term quality-of-life outcomes favor the use of VATS, the impact of VATS on long-term health-related quality of life (HRQoL) is unknown.

PATIENTS AND METHODS

We studied patients who underwent lobectomy for the treatment of non-small-cell lung cancer from January 2006 to January 2013 at a single institution (n = 456). Patients who underwent segmentectomy (n = 27), who received neoadjuvant therapy (n = 13), or who were found to have clinical stage > T2 or > N0 disease (n = 45) were excluded from analysis. At time of HRQoL assessment, 199 patients were eligible for study and were mailed the generic HRQoL instrument 15D.

RESULTS

A total of 180 patients (90.5%) replied; 92 respondents underwent VATS while 88 underwent open thoracotomy. The VATS group more often had adenocarcinoma (P = .006), and lymph node stations were sampled to a lesser extent (P = .004); additionally, hospital length of stay was shorter among patients undergoing VATS (P = .001). No other clinical or pathologic differences were observed between the 2 groups. Surprisingly, patients who underwent VATS scored significantly lower on HRQoL on the dimensions of breathing, speaking, usual activities, mental function, and vitality, and they reported a lower total 15D score, which reflects overall quality of life (P < .05).

CONCLUSION

In contrast to earlier short-term reports, long-term quality-of-life measures are worse among patients who underwent VATS compared to thoracotomy.

Development of a research tool to document self-reported chronic conditions in primary care

BACKGROUND

Researchers interested in multimorbidity often find themselves in the dilemma of identifying or creating an operational definition in order to generate data. Our team was invited to propose a tool for documenting the presence of chronic conditions in participants recruited for different research studies.

OBJECTIVE

To describe the development of such a tool.

DESIGN

A scoping review in which we identified relevant studies, selected studies, charted the data, and collated and summarized the results. The criteria considered for selecting chronic conditions were: (1) their relevance to primary care services; (2) the impact on affected patients; (3) their prevalence among the primary care users; and (4) how often the conditions were present among the lists retrieved from the scoping review.

RESULTS

Taking into account the predefined criteria, we developed a list of 20 chronic conditions/categories of conditions that could be self-reported. A questionnaire was built using simple instructions and a table including the list of chronic conditions/categories of conditions.

CONCLUSIONS

We developed a questionnaire to document 20 self-reported chronic conditions/categories of conditions intended to be used for research purposes in primary care. Guided by previous literature, the purpose of this questionnaire is to evaluate the self-reported burden of multimorbidity by participants and to encourage comparability among research studies using the same measurement.

Androgen deprivation therapy in the treatment of locally advanced, nonmetastatic prostate cancer: practical experience and a review of the clinical trial evidence

Following new scientific insights, initial management for patients with high-risk nonmetastatic prostate cancer has changed considerably and rapidly over the last few years. Several clinical and pathologic variables should be taken into account when deciding the best treatment choice for those patients. These variables are summarized and discussed in detail. High radiation doses to the prostate are essential to achieve good local control in patients with high-risk nonmetastatic disease. Addition of androgen deprivation therapy (ADT) to radiation therapy has significantly improved overall survival and cancer-specific survival compared with radiation therapy alone without significantly increasing toxicity. Long-term neo(adjuvant) ADT (2-3 years) to radiation therapy significantly improved cancer-specific survival compared with short-term ADT (4-6 months). Radical prostatectomy with extended pelvic lymph node dissection is considered a reasonable option in experienced hands. ADT alone is an inappropriate treatment option for patients with high-risk nonmetastatic disease. Management decisions for these patients should be discussed by a multidisciplinary team.

Comparative Performance of Diagnosis-based and Prescription-based Comorbidity Scores to Predict Health-related Quality of Life

OBJECTIVES

To compare the performance of the health-related quality of life-comorbidity index (HRQoL-CI) with the diagnosis-based Charlson, Elixhauser, and combined comorbidity scores and the prescription-based chronic disease score (CDS) in predicting HRQoL in Agency of Healthcare Research and Quality priority conditions (asthma, breast cancer, diabetes, and heart failure).

METHODS

The Medical Expenditure Panel Survey (2005 and 2007-2011) data was used for this retrospective study. Four disease-specific cohorts were developed that included adult patients (age 18 y and above) with the particular disease condition. The outcome HRQoL [physical component score (PCS) and mental component score (MCS)] was measured using the Short Form Health Survey, Version 2 (SF-12v2). Multiple linear regression analyses were conducted with the PCS and MCS as dependent variables. Comorbidity scores were compared using adjusted R.

RESULTS

Of 140,046 adult participants, the study cohort included 7436 asthma (5.3%), 1054 breast cancer (0.8%), 13,829 diabetes (9.9%), and 937 heart failure (0.7%) patients. Among individual scores, HRQoL-CI was best at predicting PCS and MCS. Adding prescription-based comorbidity scores to HRQoL-CI in the same model improved prediction of PCS and MCS. HRQoL-CI+CDS performed the best in predicting PCS (adjusted R): asthma (43.7%), breast cancer (31.7%), diabetes (32.7%), and heart failure (20.0%). HRQoL-CI+CDS and Elixhauser+CDS had superior and comparable performance in predicting MCS (adjusted R): asthma (HRQoL-CI+CDS=20.1%; Elixhauser+CDS=19.6%), breast cancer (HRQoL-CI+CDS=12.9%; Elixhauser+CDS=14.1%), diabetes (HRQoL-CI+CDS=17.7%; Elixhauser+CDS=17.7%), and heart failure (HRQoL-CI+CDS=18.1%; Elixhauser+CDS=17.7%).

CONCLUSIONS

HRQoL-CI performed best in predicting HRQoL. Combining prescription-based scores to diagnosis-based scores improved the prediction of HRQoL.

In Search for the Genetic Basis of Quality of Life in Healthy Swedish Women--A GWAS Study Using the iCOGS Custom Genotyping Array

BACKGROUND

Quality of life (QoL) is increasingly measured in both research and clinical practice. QoL-assessments are built on a long, empirically-based, and stringent approach. There is ample evidence that QoL is, in part, heritable. We therefore performed a GWAS relating genetic variation to QoL in healthy females.

METHODS

In 5,142 healthy females, background characteristics (e.g. demographic, clinical, lifestyle and psychological factors) and QoL by means of the EORTC QLQ-C30 were measured. Moreover, women were genotyped using a custom array including ~210,000 single nucleotide polymorphisms (SNPs). Initially, SNPs were related to each QoL-domain, by means of partially adjusted (controlling for age and population stratification) and fully adjusted (controlling for age, population stratification, and background characteristics) regression analyses. Additionally, gene-based analyses were performed relating the combined effect of SNPs within each gene to QoL using the statistical software package VEGAS.

RESULTS

None of the associations between QoL and genetic variation (i.e. individual SNPs and genes) reached the bonferroni corrected significance level.

CONCLUSION

Reasons for a lack of association between genetic markers and QoL could be low variation in QoL-scores; selecting genetic markers not tagging QoL; or that the genetic effect that impacts one's QoL is mediated through biological pathways rather than the effect of single SNPs or genes. Therefore, we opt for a pathway-based or system biology approach as a complementary and powerful approach to analyze the combined effect of genes and their biological implications in future studies focusing on QoL-issues.

The impact of co-morbidity on health-related quality of life in breast cancer survivors and controls

BACKGROUND

The objective of this study was: 1) to compare health-related quality of life (HRQoL) scores of breast cancer survivors to matched controls; and 2) to examine the relative impact (explained variance) of the type and number of co-morbidities on HRQoL.

MATERIAL AND METHODS

Data from the KARMA project was used in this cross-sectional study. For each woman diagnosed with breast cancer (n = 2552) there were two healthy age- and geographically matched females (n = 5104). Breast cancer survivors were categorized according to time since diagnosis: recently diagnosed (0-1 year), short- (2-5 years), mid- (6-10 years), and long-term survivors (> 10 years). Women completed a questionnaire addressing demographics (age, educational level, and geographical location), lifestyle factors (body mass index (BMI) and smoking), co-morbidities, and HRQoL. The difference in explained variance in six HRQoL-domains between demographics, lifestyle factors, and co-morbidity in women with breast cancer and matched controls was examined by hierarchical regression analyses.

RESULTS AND CONCLUSION

Women recently diagnosed (n = 63), reported the worst HRQoL followed by short-term survivors (2-5 years, n = 863). Thereafter, HRQoL scores further improved (6-10 years, n = 726), and were comparable to healthy females after 10 years (n = 893). Co-morbidity has a negative impact on HRQoL, which increased with time after diagnosis. Cardiovascular disease and depression were the strongest associates. Breast cancer survivors report clinically significant improvement in HRQoL scores six years after diagnosis. Co-morbidity has a negative impact on HRQoL, which increases with time after diagnosis, even though the number of co-morbidities remains stable. In long-term survivors there should be increasing awareness of co-morbidity and its impact on HRQoL.

The impact of comorbidity on Health-Related Quality of Life among cancer survivors: analyses of data from the PROFILES registry

PURPOSE

The aim of this study was to assess the difference in explained variance of Health-Related Quality of Life (HRQoL) between comorbidity, sociodemographic characteristics and cancer characteristics. This association was assessed among thyroid cancer, colorectal cancer, and (non-)Hodgkin's lymphoma patients.

METHODS

Data from three large population-based surveys on survivors of thyroid cancer, colorectal cancer, and (non-)Hodgkin's lymphoma were used. Cancer-specific HRQoL was assessed with the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 30 (QLQ-C30) of which physical function, emotional function, fatigue, and pain were included in the analyses. Comorbidity was assessed using the Self-reported Comorbidity Questionnaire. The association between comorbidity and HRQoL was assessed with multivariate linear regression models. Semi-partial R (2) was reported to assess the amount of variance in HRQoL explained by comorbidity in comparison with sociodemographic and cancer characteristics.

RESULTS

In total, 3,792 cancer survivors were included in this analysis. The variance in HRQoL subscales explained by comorbidity was higher compared with sociodemographic and cancer characteristics for physical function (11-17 vs. 2-4 and 1-2 %, respectively) and emotional function (7-17 vs. 1-3 and 1-3 %, respectively), regardless of cancer type. In addition, comorbidity explained 7-20 and 11-13 % of the variance in pain and fatigue, respectively, compared to 0-4 % for both sociodemographic and cancer characteristics. Osteoarthritis and back pain were strongly associated with physical function and pain, while depression was strongly associated with emotional function. Depression and back pain were strongly associated with fatigue.

CONCLUSIONS

This study showed that comorbidity explained more variance in physical and emotional function, pain, and fatigue in comparison with sociodemographic and cancer characteristics in cancer survivors, regardless of cancer type. Our findings emphasize the importance of adjusting for the presence of comorbid diseases when assessing HRQoL in cancer survivors.

IMPLICATION FOR CANCER SURVIVORS

Cancer survivors suffering from comorbid diseases experience lower levels of health-related quality of life. Clinicians should become more aware of the impact of comorbidity on HRQoL and provide necessary psychological support to assist self-management of comorbid diseases.