Evaluation of four comorbidity indices and Charlson comorbidity index adjustment for colorectal cancer patients

Explainable machine learning model for prediction of 28-day all-cause mortality in immunocompromised patients in the intensive care unit: a retrospective cohort study based on MIMIC-IV database

OBJECTIVES

This study aimed to develop and validate an explainable machine learning (ML) model to predict 28-day all-cause mortality in immunocompromised patients admitted to the intensive care unit (ICU). Accurate and interpretable mortality prediction is crucial for clinical decision-making and optimal allocation of critical care resources for this vulnerable patient population.

METHODS

We utilized retrospective clinical data from the MIMIC-IV (version 2.2) database, encompassing ICU admissions at Beth Israel Deaconess Medical Center from 2008 to 2019. Eligible immunocompromised patients, including those with primary immunodeficiencies and chronic acquired conditions, such as hematological malignancies, solid tumors, and organ transplantation, were selected. Data were randomly split into training (80%) and testing (20%) cohorts. Ten ML models (logistic regression, XGBoost, LightGBM, AdaBoost, Random Forest, Gradient Boosting, Gaussian Naive Bayes, Complement Naive Bayes, Multilayer Perceptron, and Support Vector Machine) were developed and evaluated using area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC), sensitivity, specificity, accuracy, and F1 score. Model explainability was achieved through SHapley Additive exPlanations (SHAP), and decision curve analysis (DCA) assessed clinical utility. In addition, Cox proportional hazards regression was conducted to evaluate the impact of predictive factors on time-to-event outcomes.

RESULTS

Among the evaluated models, the Support Vector Machine (SVM) demonstrated the highest AUROC of 0.863 (95% CI 0.834-0.890) and a notable AUPRC of 0.678 (95% CI 0.624-0.736). Key predictive factors consistently identified across multiple ML models included 24-h urine output, blood urea nitrogen (BUN) levels, presence of metastatic solid tumors, Charlson Comorbidity Index (CCI), and international normalized ratio (INR). SHAP analyses provided detailed insights into how these features influenced model predictions.

CONCLUSIONS

The explainable ML models based on various artificial intelligence methods demonstrated promising clinical applicability in predicting 28-day mortality risk among immunocompromised ICU patients. Factors such as urine output, BUN, metastatic solid tumors, CCI, and INR significantly contributed to prediction outcomes and may serve as important predictors in clinical practice.

Posttraumatic stress disorder and its associations with antiretroviral therapy among veterans with HIV

OBJECTIVES

Posttraumatic stress disorder (PTSD) may affect antiretroviral therapy (ART) response and clinical outcomes for veterans with HIV (VWH) receiving care in the Department of Veterans Affairs (VA). Objectives are to estimate the associations between PTSD and ART nonadherence, modifications, and failure; measure effect modification by number of deployments and combat exposure; and examine how these associations vary over time.

DESIGN

In this prospective cohort study of all VWH on ART who deployed to Iraq and Afghanistan and receive care in the VA ( n  = 3206), patients entered at ART initiation and were censored in December 2022, totaling 22 261 person-years of follow-up.

METHODS

Marginal structural log-binomial and Poisson models were fitted with a time-dependent exposure, adjusted for time-independent and time-dependent confounding and informative censoring, to estimate the associations between PTSD and ART nonadherence, modifications, and failure. Marginal structural shared frailty models were fitted to examine time-varying associations.

RESULTS

PTSD increased the risk [adjusted risk ratio, 95% confidence interval (CI)] of ART nonadherence by 6% (1.06 [1.00, 1.13]) and the rate (adjusted incidence rate ratio, 95% CI) of ART modifications by 38% (1.38 [1.19, 1.58]). Multiple deployments amplified the association with ART nonadherence by 14%; combat exposure did not modify any association examined. The association with ART modifications increased during the first decade post-PTSD-diagnosis but subsequently stabilized.

CONCLUSIONS

PTSD increased ART nonadherence and ART modifications. Providers should screen for PTSD so that it can help guide medical decisions and treatment; particular attention should be paid to Veterans with multiple combat deployments.

Common Comorbidities and a Comparison of 4 Comorbidity Indices in Patients Undergoing Orthopaedic Oncology Surgery

BACKGROUND

Comorbidity indices are used to help to estimate patients' length of hospital stay, care costs, outcomes, and mortality. Increasingly, they are considered in reimbursement models. The applicability of comorbidity indices to patients undergoing orthopaedic oncology surgery has not been studied. The purpose of this study was to determine the predominant comorbidities in patients undergoing orthopaedic oncology surgery and to evaluate the predictive value of these indices.

METHODS

Patient demographic characteristics, diagnoses, and preoperative comorbidities were collected retrospectively on 300 patients undergoing orthopaedic oncology surgery between January 2014 and March 2023. In this study, 3 subsets of 100 patients each with malignant primary bone tumors, malignant primary soft-tissue tumors, or osseous metastatic disease were randomly selected. Comorbidities were tabulated and weighted according to the guidelines of the Charlson Comorbidity Index (CCI), the National Institute on Aging/National Cancer Institute (NIA/NCI) index, the van Walraven Index, and the Agency for Healthcare Research and Quality (AHRQ) Index. Two-tailed bivariate Pearson correlations were performed to assess the relationship between the indices and between each index and patient outcomes. Comorbidities in our patient population were compared with those published in other studies.

RESULTS

The predominant comorbidities in patients undergoing orthopaedic oncology surgery were hypertension, deficiency anemias, metastatic disease, recent unintended weight loss or being underweight, and fluid or electrolyte disorders. The percentage of patients with certain comorbidities exceeded those reported in other cancer, orthopaedic, and inpatient populations. The 4 comorbidity indices had variable correlation when assessing our patient population. The number of comorbidities and the weighted scores from all indices demonstrated little to no correlation with length of stay and survival in our patient sample.

CONCLUSIONS

The prevalence of many comorbidities in patients undergoing orthopaedic oncology surgery is greater than those reported in other patient populations. Commonly utilized indices demonstrate variable correlation with one another. With these tools, there was little to no correlation between comorbidities and patient outcomes in our patient population. The comorbidities deemed protective in these tools may underestimate the true assessment of the comorbidities in patients undergoing orthopaedic oncology surgery. This highlights the importance of developing tools to properly assess the comorbidities in defined patient populations, especially as these models are used to set benchmarks for measuring patient outcomes; assessing quality, efficiency, and safety; and determining reimbursement criteria.

LEVEL OF EVIDENCE

Prognostic Level III . See Instructions for Authors for a complete description of levels of evidence.

A Retrospective Claims Analysis of the Rate of Complications in Patients Undergoing Treatment for Paroxysmal Nocturnal Hemoglobinuria

INTRODUCTION

Paroxysmal nocturnal hemoglobinuria (PNH) is a rare blood disease associated with complications that increase morbidity, such as thrombosis and chronic kidney disease. Limited data exist regarding complications among treated patients outside of clinical trials, especially for patients treated with ravulizumab.

METHODS

This study leverages MarketScan claims data to examine the rate of complications in patients receiving PNH treatment. Patients with a diagnosis code of PNH [International Statistical Classification of Diseases and Related Health Problems (ICD-10) diagnosis code: D59.5] between October 2015 and December 2020, aged ≥ 18 on the date of diagnosis, who had a ≥ 6-month follow-up period of continuous enrollment and ≥ 1 PNH-indicated treatment on or after the first PNH diagnosis were included.

RESULTS

Among 211 patients diagnosed with PNH being treated with eculizumab or ravulizumab between October 2015 and December 2020, the most common complications were iron deficiency (20.4% of patients), arterial embolism and thrombosis (16.1%), and chronic kidney disease (11.8%). Overall, 44.1% of patients experienced ≥ 1 complication.

CONCLUSION

The high number of patients with PNH receiving treatment who nevertheless experienced complications demonstrates significant unmet medical need. Further analysis with larger sample sizes and including newer therapies, such as pegcetacoplan and iptacopan, is required to fully understand the scope and magnitude of this unmet need.

Age-adjusted Charlson comorbidity index and its association with body composition and overall survival in patients with colorectal cancer

OBJECTIVE

To examine the relationship between the age-adjusted Charlson comorbidity index (A-CCI) with body composition and overall survival in patients newly diagnosed with colorectal cancer (CRC).

RESEARCH METHODS AND PROCEDURES

In this cohort study, patients (≥ 18 years old) with CRC were followed for 36 months. Computed tomography images of the third lumbar were analyzed to determine body composition, including skeletal muscle area (SMA), skeletal muscle index (SMI), skeletal muscle radiodensity (SMD), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT). Phenotypes based on comorbidity burden assessed by A-CCI and body composition parameters were established.

RESULTS

A total of 436 participants were included, 50% male, with a mean age of 61 ± 13.2 years. Approximately half of the patients (50.4%) had no comorbidity, and the A-CCI median score was 4 (interquartile range: 3-6). A higher A-CCI score was a risk factor for 36-month mortality (HR = 3.59, 95% CI = 2.17-5.95). Low SMA and low SMD were associated with a higher A-CCI. All abnormal phenotypes (high A-CCI and low SMA; high A-CCI and low SMD; high A-CCI and high VAT) were independently associated with higher 36-month mortality hazard (adjusted HR 5.12, 95% CI 2.73-9.57; adjusted HR 4.58, 95% CI 2.37-8.85; and adjusted HR 2.36, 95% CI 1.07-5.22, respectively).

CONCLUSION

The coexistence of comorbidity burden and abnormal body composition phenotypes, such as alterations in muscle or fat compartments, may pose an additional risk of mortality in patients newly diagnosed with CRC. Early assessment and management of these phenotypes could be crucial in optimizing outcomes in such patients.

Comparing Charlson Comorbidity Index Scores between Anesthesiologists, Patients, and Administrative Data: A Prospective Observational Study

(1) Background: Patients' comorbidities play an immanent role in perioperative risk assessment. It is unknown how Charlson Comorbidity Indices (CCIs) from different sources compare. (2) Methods: In this prospective observational study, we compared the CCIs of patients derived from patients' self-reports and from physicians' assessments with hospital administrative data. (3) Results: The data of 1007 patients was analyzed. Agreement between the CCI from patients' self-report compared to administrative data was fair (kappa 0.24 [95%CI 0.2-0.28]). Agreement between physicians' assessment and the administrative data was also fair (kappa 0.28 [95%CI 0.25-0.31]). Physicians' assessment and patients' self-report had the best agreement (kappa 0.33 [95%CI 0.30-0.37]). The CCI calculated from the administrative data showed the best predictability for in-hospital mortality (AUROC 0.86 [95%CI 0.68-0.91]), followed by equally good prediction from physicians' assessment (AUROC 0.80 [95%CI 0.65-0.94]) and patients' self-report (AUROC 0.80 [95%CI 0.75-0.97]). (4) Conclusions: CCIs derived from patients' self-report, physicians' assessments, and administrative data perform equally well in predicting postoperative in-hospital mortality.

Evaluating the effectiveness of the Charlson Comorbidity Index in predicting immune checkpoint inhibitor-related adverse events

Aims: Our study aimed to evaluate the effectiveness of the Charlson Comorbidity Index (CCI) in predicting immune-related adverse events (irAEs) in solid tumor patients receiving immunotherapy. Patients & methods/materials: The CCI score at the time of initiation of immunotherapy was calculated in 164 solid tumor patients receiving immunotherapy and the correlation between the CCI score and immune toxicity was evaluated. Results: A significant relationship was found between CCI score and irAEs in lung cancer and renal cell cancer patients. In malignant melanoma, no significant relationship was found between the CCI score and the occurrence of irAEs. Conclusion: We argue that CCI can be used to predict irAEs, but we believe that a specific comorbidity index that includes autoimmune diseases should be developed.

Overall survival in 92,991 colorectal cancer patients in Germany: differences according to type of comorbidity

BACKGROUND

Poorer survival in cancer patients with vs. without comorbidity has been reported for various cancer sites. For patients with colorectal cancer (CRC), limited data are available so far.

METHODS

Patients with CRC diagnosed between 2010 and 2018 were identified in a health claims database covering 20% of the German population. We assessed the prevalence of comorbidities at cancer diagnosis and categorized the patients into the groups: 'none', 'somatic only', 'mental only' or 'both' types of comorbidities. Hazard ratios (HR, with 95% confidence intervals) for five-year overall survival were estimated by Cox proportional hazard models, adjusted for age, sex and stage at diagnosis (advanced vs. non-advanced).

RESULTS

We included 92,991 patients (females: 49.1%, median age: 72 years) with a median follow-up of 30 months. The proportions assigned to the groups 'none', 'somatic only', 'mental only' or 'both' were 24.7%, 65.5%, 1.4% and 8.4%. Overall, 32.8% of the patients died during follow-up. Compared to patients without comorbidities ('none'), the adjusted HR regarding death from any cause was 1.11 (95% CI: 1.07-1.14) in the group 'somatic only', 1.74 (95% CI: 1.58-1.92) in the group 'mental only' and 1.92 (95% CI: 1.84-2.00) in the group 'both'. For patients with 'mental only' comorbidities, the adjusted HR was higher in males than in females (HR = 2.19, 95% CI: 1.88-2.55 vs. HR = 1.55, 95% CI: 1.37-1.75).

CONCLUSIONS

Our results suggest that patients with CRC and with mental comorbidities, particularly males, have a markedly lower overall survival compared to those without any or only somatic comorbidities.

The disproportionate burden of Alzheimer's disease and related dementias (ADRD) in diverse older adults diagnosed with cancer

INTRODUCTION

Older adults living with Alzheimer's disease and related dementias (ADRD) who are then diagnosed with cancer are an understudied population. While the role of cognitive impairment during and after cancer treatment have been well-studied, less is understood about patients who are living with ADRD and then develop cancer. The purpose of this study is to contribute evidence about our understanding of this vulnerable population.

MATERIALS AND METHODS

This was a retrospective cohort study of a linked, representative family of databases of cancer registries and Medicare administrative claims that make up the SEER-Medicare database. Older adults ages 68 and older with a first primary cancer type: breast, cervical, colorectal, lung, oral, or prostate were eligible for inclusion (N = 337,932). Prevalence estimates of ADRD across cancer types and a 5% non-cancer comparison sample were compared by patient factors.

RESULTS

The overall prevalence of patients who had an ADRD diagnosis anytime in the three years prior to their cancer diagnosis was 5.6%. Patients with ADRD were more likely to be female, older (over age 75), a racial/ethnic minority, single, with multiple chronic conditions, and a tumor diagnosed early (stage I) or were unstaged. Black patients with colorectal and oral cancer had the highest and second highest prevalence of ADRD compared to White patients (13.46% vs 7.95% and 12.64% vs 7.82% respectively, p < .0001). We observed the highest prevalence of ADRD among Black patients for breast (11.85%), cervical (11.98%), lung (8.41%), prostate (4.83), and the 5% sample (9.50%, p > .0001).

DISCUSSION

The higher prevalence of ADRD among Black and Latine older adults with cancer not only aligns with the trend observed in our non-cancer comparison sample, but also, these findings demonstrate the compounded risk experienced by minoritized older adults over the life course. The greater than expected prevalence of patients with ADRD who go on to develop cancer demonstrates better assessment of cognition is urgently needed. Accurate identification of these vulnerable populations is critical to improve assessment, care coordination, and address inequities in screening and treatment planning.

Prognostic value of comorbidity measures among Australian men with non-metastatic prostate cancer

AIM

To compare the utility of various admission-based comorbidity indices in men diagnosed with non-metastatic prostate cancer.

METHODS

The study cohort consisted of men diagnosed with prostate cancer between January 2002 and December 2020 according to the state-wide South Australian Cancer Registry. Comorbid conditions were captured for 11,470 men through linkage to public hospital admission data 5-years prior to prostate cancer diagnosis. The comorbidity indices evaluated included the Charlson Comorbidity Index (CCI), Elixhauser Comorbidity Index (ECI), National Cancer Institute (NCI) comorbidity index, and Cancer, Care and Comorbidity (C3) index. The predictive performance of the four indices for 5-year overall mortality was compared using the C-statistic from Cox proportional hazard models adjusted for age, socioeconomic status, and year of prostate cancer diagnosis.

RESULTS

Approximately 31 %, 45 %, 28 % and 47 % of patients had at least one comorbid condition captured by CCI, ECI, NCI and C3, respectively. Regarding the prediction of 5-year overall survival, CCI (c-index = 0.763) slightly higher predictive performance than ECI (0.758), NCI (0.755), and C3 (0.754). Indices in their continuous score resulted in better predictive performance than them being used categorically (0, 1, and 2 +). The NCI (continuous score) showed a stronger association with overall mortality (hazard ratio (HR) 2.47, 95%CI:2.29-2.67) than the other indices, despite its predictive performance being lower than the CCI and ECI.

CONCLUSION

There were only slight differences in the predictive accuracy among the indices, with the CCI having a slightly better prognostic value than the other indices. All four indices demonstrated a strong association with mortality in men diagnosed with prostate cancer.

Examining the continuum of resistance model in two population-based screening studies in Sweden

In studies recruited on a voluntary basis, lack of representativity may impair the ability to generalize findings to the target population. Previous studies, primarily based on surveys, have suggested that generalizability may be improved by exploiting data on individuals who agreed to participate only after receiving one or several reminders, as such individuals may be more similar to non-participants than what early participants are. Assessing this idea in the context of screenings, we compared sociodemographic characteristics and health across early, late, and non-participants in two large population-based screening studies in Sweden: STROKESTOP II (screening for atrial fibrillation; 6,867 participants) and SCREESCO (screening for colorectal cancer; 39,363 participants). We also explored the opportunities to reproduce the distributions of characteristics in the full invited populations, either by assuming that the non-participants were similar to the late participants, or by applying a linear extrapolation model based on both early and late participants. Findings showed that early and late participants exhibited similar characteristics along most dimensions, including civil status, education, income, and health examination results. Both these types of participants in turn differed from the non-participants, with fewer married, lower educational attainments, and lower incomes. Compared to early participants, late participants were more likely to be born outside of Sweden and to have comorbidities, with non-participants similar or even more so. The two empirical models improved representativity in some cases, but not always. Overall, we found mixed support that data on late participation may be useful for improving representativeness of screening studies.

Effectiveness and Safety of Endoscopic Submucosal Dissection for Colorectal Neoplasm in Patients with High Charlson Comorbidity Index Score: A HASID Multicenter Study

Endoscopic submucosal dissection (ESD) is an effective method for removing early colorectal lesions. However, research on the safety and efficacy of ESD in patients with various underlying conditions remains limited. This study retrospectively examined ESD outcomes in colorectal neoplasm patients from five tertiary medical centers. The Charlson Comorbidity Index (CCI) and age-adjusted CCI (ACCI) were analyzed, and the differences in complete resection and complication rates were analyzed. The CCI, ACCI, and complication rates tended to gradually increase proportionally, and the complication resection rate increased from CCI 2 to ACCI 4 as the starting point, followed by a decreasing trend. Of these, 140 patients (9.7%) had a CCI score of 3 or higher. The high CCI group was older (70.6% vs. 64.7%, p < 0.01) and had a higher proportion of men (70.7% vs. 58.7%, p < 0.01) than the low CCI group. The high CCI group had a higher incidence of cancer than the low CCI group (77.9% vs. 65.2%, p < 0.01). The en bloc resection rate (90.0% vs. 89.3%, p = 0.79) and complete resection rate (75.7% vs. 81.2%, p = 0.12) were not significantly different between the two groups. Colorectal ESD can be safely and effectively performed in patients with various underlying medical conditions.

Trifluridine-tipiracil plus bevacizumab versus capecitabine plus bevacizumab as first-line treatment for patients with metastatic colorectal cancer ineligible for intensive therapy (SOLSTICE): a randomised, open-label phase 3 study

BACKGROUND

Trifluridine-tipiracil plus bevacizumab has shown efficacy in previous phase 2 studies including patients with unresectable metastatic colorectal cancer. We aimed to investigate first-line trifluridine-tipiracil plus bevacizumab versus capecitabine plus bevacizumab in patients with unresectable metastatic colorectal cancer ineligible for intensive treatment.

METHODS

In this open-label, randomised, phase 3 study, we enrolled patients aged 18 years and older with histologically confirmed metastatic colorectal cancer, ineligible for full-dose doublet or triplet chemotherapy and curative resection across 25 countries and regions. Participants were randomly allocated (1:1) to trifluridine-tipiracil plus bevacizumab or capecitabine plus bevacizumab until disease progression or unacceptable toxicity using an interactive web response system, stratified by Eastern Cooperative Oncology Group (ECOG) performance status (0 vs 1 vs 2), primary tumour location (right vs left colon), and the main reason for not being a candidate for intensive therapy (clinical condition vs non-clinical condition). The primary endpoint was investigator-assessed progression-free survival, defined as the time from randomisation to radiological progression or death from any cause, in the intention-to-treat population. Safety was assessed in all patients having taken at least one dose of the study drug. The trial is ongoing, findings presented here are those of the primary analysis of progression-free survival, conducted after 629 events had occurred. This study is registered with ClinicalTrials.gov, NCT03869892.

FINDINGS

Between March 21, 2019, and Sept 14, 2020, 856 patients (54% male, 46% female) were randomly assigned to trifluridine-tipiracil plus bevacizumab (n=426) or capecitabine plus bevacizumab (n=430). After a median follow-up of 16·6 months (95% CI 16·5-17·1), the hazard ratio for progression-free survival for trifluridine-tipiracil plus bevacizumab versus capecitabine plus bevacizumab was 0·87 (0·75-1·02; p=0·0464; protocol-defined significance level of p=0·021 not met). Investigator-assessed median progression-free survival was 9·4 months (95% CI 9·1-10·9) with trifluridine-tipiracil plus bevacizumab versus 9·3 months (8·9-9·8) with capecitabine plus bevacizumab. The most common grade 3 and higher treatment-emergent adverse events were neutropenia (220 [52%] of 423 patients in the trifluridine-tipiracil plus bevacizumab group vs six [1%] of 427 in the capecitabine plus bevacizumab group), decreased neutrophil count (78 [18%] vs four [<1%]), anaemia (60 [14%] vs 16 [4%]), and hand-foot syndrome (none vs 61 [15%]). Nine deaths (five in the trifluridine-tipiracil plus bevacizumab group and four in the capecitabine plus bevacizumab group) were treatment related.

INTERPRETATION

First-line trifluridine-tipiracil plus bevacizumab was not superior to capecitabine plus bevacizumab in this population. As expected, the safety profile differed between the two treatments, but there were no new safety concerns. Trifluridine-tipiracil plus bevacizumab represents a feasible alternative to capecitabine plus bevacizumab in this population.

FUNDING

Servier International Research Institute, Suresnes, France.

Risk of non-colorectal cancer-related death in elderly patients with the disease: A comparison of five preoperative risk assessment indices

BACKGROUND

A considerable number of elderly patients with colorectal cancer (CRC) die of non-CRC-related causes. The Controlling Nutritional Status (CONUT) score, American Society of Anesthesiologists Physical Status classification, Charlson Comorbidity Index, National Institute on Aging, and National Cancer Institute Comorbidity Index, and Adult Comorbidity Evaluation-27 score are all known predictors of survival in patients with CRC. However, the utility of these indices for predicting non-CRC-related death in elderly CRC patients is not known.

METHODS

The study population comprised 364 patients aged 80 years or more who received curative resection for stage I-III CRC between 2000 and 2016. The association of each index with non-CRC-related death was compared by competing-risks analysis such as the cumulative incidence function and proportional subdistribution hazards regression analysis as well as time-dependent receiver-operating characteristic (ROC) analysis.

RESULTS

There were 85 deaths (40 CRC-related and 45 non-CRC-related) during a median observation period of 53.2 months. Cumulative incidence function analysis identified CONUT score as the most suitable for risk stratification for non-CRC-related death. In proportional subdistribution hazards regression, risk of non-CRC-related death increased significantly as CONUT score worsened (2/3/4 vs. 0/1, hazard ratio 1.73, 95% confidence interval [CI] 0.91-3.15; ≥5 vs. 2/3/4, hazard ratio 2.71, 95% CI 1.08-6.81). Time-dependent ROC curve analysis showed that CONUT score were consistently superior to other indices during the 5-year observation period.

CONCLUSIONS

The majority of deaths in elderly patients with CRC were not CRC-related. CONUT score was the most useful predictor of non-CRC-related death in these patients.

Age adjusted Charlson comorbidity index (a-CCI) AS a tool to predict 30-day post-operative outcome in general surgery patients

INTRODUCTION

Age adjusted Charlson comorbidity index (a-CCI) is an established scoring system to predict long-term mortality. However, its role in predicting 30-day post-operative outcome in general surgery patients is not well elucidated.

METHODS

This was a prospective observational study. Consecutive patients operated under general anaesthesia between January 2019 and December 2020 were enrolled. Their a-CCI was calculated and stratified as Grade 0 comorbidities (a-CCI score = 0), Grade A comorbidities (a-CCI score = 1 and 2) and Grade B comorbidities (a-CCI score ≥ 3). Post-operative complications were graded according to Clavien Dindo (CD) grading system and classified as minor complications (CD Grades I and II), major complications (CD Grades III-IV) and mortality (CD Grade V). Binary logistic regression and multi-nominal logistic regression analysis were done and relative risk ratios were calculated.

RESULT

A total of 925 patients were enrolled. The mean age was 42.75 (14-85 ± 10) years. 31% of our patients had complications within 30 days of surgery which included mortality in 2.7%. Compared with patients with Grade 0 comorbidities, the odds of getting complications is 1.2 times more in patients with Grade A comorbidities and 1.84 times more in patients with Grade B comorbidities (P = 0.205, 0.001 respectively). In comparison to patients with Grade 0 co-morbidities, risk of mortality is 3 and 17.86 times more in patients with Grade A and Grade B comorbidities (P = 0.121 and < 0.001 respectively).

CONCLUSION

a-CCI has clinical relevance in general surgical patients and can predict early post-operative outcome. It should be a part of our armamentarium for pre-operative assessment of surgical patients.

Occurrence of comorbidity with colorectal cancer and variations by age and stage at diagnosis

BACKGROUND

While age and stage at diagnosis are known to affect treatment choices and survival from colorectal cancer (CRC), few studies have investigated the extent to which these effects are influenced by comorbidity. In this study, we describe the occurrence of comorbidity in CRC cases in South Australia and associations of comorbidity with age, stage and the age-stage relationship. Furthermore, we report on the association of individual comorbidities with age and stage at diagnosis.

METHODS

The South Australian Cancer Registry (SACR) provided CRC data (C18-C20, ICD-10) for 2004-2013 diagnoses. CRC data were linked with comorbidity data drawn from hospital records and health insurance claims. Logistic regression was used to model associations of comorbidity with age and stage.

RESULTS

For the 8462 CRC cases in this study, diabetes, peptic ulcer disease, and previous cancers were the most commonly recorded co-existing conditions. Most comorbidities were associated with older age, although some presented more frequently in younger people. Patients at both ends of the age spectrum (<50 and 80 + years) had an increased likelihood of CRC diagnosis at an advanced stage compared with other ages (50-79 years old). Adjusting for comorbidities moderated the association of older age with advanced stage. Conditions associated with advanced stage included dementia (OR = 1.25 (1.01-1.55)), severe liver disease (OR = 1.68 (1.04-2.70)), and a previous cancer (OR = 1.18 (1.08-1.28)).

CONCLUSION

Comorbidities are prevalent with CRC, especially in older people. These comorbidities differ in their associations with age at diagnosis and stage. Dementia and chronic heart failure were associated with older age whereas inflammatory bowel disease and alcohol access were associated with younger onset of the disease. Severe liver disease and dementia were associated with more advanced stage and rheumatic disease with less advanced stage. Comorbidities also interact with age at diagnosis and appear to vary the likelihood of advanced-stage disease. CRC patient have different association of age with stage depending on their comorbidity status.

Development of an age- and comorbidity adjusted- optimal radiotherapy utilisation rate for women with breast cancer

INTRODUCTION

Optimal radiotherapy utilisation (RTU) modelling estimates the proportion of people with cancer who would benefit from radiotherapy. Older adults with cancer may have comorbidities that can impact physiological reserve and affect radiotherapy recommendations. These have not been considered in previous models. We aimed to develop an age- and comorbidity-adjusted optimal RTU model for breast cancer.

METHODS

New South Wales (NSW) Cancer Registry data (2010-2014) linked to radiotherapy data (2010-2015) and hospitalisation data (2008-2015) was used to determine the number of women diagnosed with invasive breast cancer in four pre-specified age groups. The Charlson Comorbidity Index (CCI), Cancer-Specific C3 'all sites' index and the Hospital Frailty Risk Score (HFRS) were derived for each woman from diagnostic codes in hospital records. Women were deemed unfit, and thus unsuitable candidates for radiotherapy, if the comorbidity indices were as follows: CCI ≥2; C3 score ≥ 3; and HFRS ≥5. The proportions of women suitable for radiotherapy in each age group were then incorporated into a breast cancer decision tree model. The actual RTU was also calculated using the linked datasets.

RESULTS

23,601 women were diagnosed with breast cancer in NSW from 2010 to 2014 and 2526 were aged 80+ years. The overall comorbidity adjusted- RTU for women of all ages was 85·9% (CCI), 83·7% (C3) and 81·9% (HFRS). The optimal comorbidity adjusted- RTU for women aged 80+ was 76·1% (CCI), 70·1% (C3) and 61·8% (HFRS). The actual RTU for women aged 80+ years was 24.7%.

CONCLUSION

The vast majority of older Australian women with breast cancer are fit for radiotherapy. The overall optimal RTU is only slightly reduced when adjusted for age and comorbidities and was similar using each of the three indices examined. Our data suggest radiotherapy is markedly underutilised for older women with breast cancer.

Impact of Tumor Location on Survival in Patients With Colorectal Cancer: A Retrospective Cohort Study Based on Taiwan’s Cancer Registry Database

Background:

Colorectal cancer is one of the leading cancers worldwide. This study aimed to investigate the mortality differences between 2 primary tumor locations, the proximal/distal colon and rectosigmoid junction (RSJ)/rectum, after adjusting for comorbidities.

Methods:

The Taiwan Cancer Registry linked with Taiwan’s National Health Insurance Research Database was used to estimate the 5-year mortality rate among patients with colorectal cancer. A total of 73 769 individuals were enrolled in the study, which included 44 234 patients with proximal and distal colon cancers and 29 535 patients with RSJ and rectal cancers. Potential mortality risk was calculated using Cox regression analysis.

Results:

The mortality rates due to the location of the cancer in the proximal/distal colon and RSJ/rectum were 45.27% and 42.20%, respectively. After adjustment for age, sex, comorbidities, and clinical stages, the proximal/distal colon had a 1.03-fold higher 5-year overall mortality rate than RSJ/rectal cancer (95% confidence interval = 1.00–1.05). Proximal and distal colon cancers had a worse prognosis and survival than RSJ and rectal colon cancers in women and older patients (⩾70 years). Comorbidities had different effects on mortality in the proximal/distal colon and RSJ/rectum.

Conclusions:

Tumor location is associated with the prognosis of patients with colorectal cancer. It is important to treat patients beyond their cancer treatment, and to manage their comorbidities.

Underutilisation of prophylactic G-CSF in breast cancer patients receiving adjuvant docetaxel/cyclophosphamide chemotherapy

Docetaxel/cyclophosphamide (TC) is a widely used adjuvant chemotherapy regimen, especially in patients with node-negative or low-risk node-positive breast cancer. Guidelines recommend the use of prophylactic granulocyte colony-stimulating factor (G-CSF) to prevent febrile neutropenia. In this study, we aimed to explore the use of G-CSF as a primary prophylactic and determine the factors influencing its use. This retrospective study used nationwide claims data from the National Inpatient Sample compiled by the Health Insurance Review and Assessment Service in South Korea from 2018. The claims data included 10% of inpatients admitted at least once in 2018 and 1% of outpatients who were not admitted. Female patients with breast cancer who received an adjuvant TC regimen after surgery were selected. Primary prophylactic G-CSF was defined as G-CSF prescribed within two days of the first cycle of TC. The factors influencing its utilisation were investigated using the chi-square test and a multiple logistic regression model. A total of 229 patients were included in the analysis. The proportion of patients who received primary prophylactic G-CSF treatment after the first cycle of TC was 55.5%. The factors positively influencing G-CSF utilization were patients' age ≥65 years, location (i.e. metropolitan areas), and the type of healthcare facility (i.e. non-tertiary hospitals). The use of prophylactic G-CSF in patients with breast cancer who received the adjuvant TC regimen was insufficient. The use of primary G-CSF prophylaxis should be emphasised to reduce the risk of febrile neutropenia among patients receiving a myelosuppressive TC regimen.

Examining the predictability and prognostication of multimorbidity among older Delayed-Discharge Patients: A Machine learning analytics

BACKGROUND

Patient complexity among older delayed-discharge patients complicates discharge planning, resulting in a higher rate of adverse outcomes, such as readmission and mortality. Early prediction of multimorbidity, as a common indicator of patient complexity, can support proactive discharge planning by prioritizing complex patients and reducing healthcare inefficiencies.

OBJECTIVE

We set out to accomplish the following two objectives: 1) to examine the predictability of three common multimorbidity indices, including Charlson-Deyo Comorbidity Index (CDCI), the Elixhauser Comorbidity Index (ECI), and the Functional Comorbidity Index (FCI) using machine learning (ML), and 2) to assess the prognostic power of these indices in predicting 30-day readmission and mortality.

MATERIALS AND METHODS

We used data including 163,983 observations of patients aged 65 and older who experienced discharge delay in Ontario, Canada, during 2004 - 2017. First, we utilized various classification ML algorithms, including classification and regression trees, random forests, bagging trees, extreme gradient boosting, and logistic regression, to predict the multimorbidity status based on CDCI, ECI, and FCI. Second, we used adjusted multinomial logistic regression to assess the association between multimorbidity indices and the patient-important outcomes, including 30-day mortality and readmission.

RESULTS

For all ML algorithms and regardless of the predictive performance criteria, better predictions were established for the CDCI compared with the ECI and FCI. Remarkably, the most predictable multimorbidity index (i.e., CDCI with Area Under the Receiver Operating Characteristic Curve = 0.80, 95% CI = 0.79 - 0.81) also offered the highest prognostications regarding adverse events (RRR_mortality = 3.44, 95% CI = 3.21 - 3.68 and RRR_readmission = 1.36, 95% CI = 1.31 - 1.40).

CONCLUSIONS

Our findings highlight the feasibility and utility of predicting multimorbidity status using ML algorithms, resulting in the early detection of patients at risk of mortality and readmission. This can support proactive triage and decision-making about staffing and resource allocation, with the goal of optimizing patient outcomes and facilitating an upstream and informed discharge process through prioritizing complex patients for discharge and providing patient-centered care.

Ostomy prevalence and survival in elderly patients with stage III and IV rectal cancer

AIM

Oncological strategies in the elderly population are often debated. The objective of this study was to investigate the survival rates and prevalence of ostomy in elderly patients operated on for stage III and IV rectal cancers.

METHODS

This retrospective multicentric population-based study included 151 patients aged ≥75 years with stage III and IV rectal adenocarcinoma who underwent surgery between 2007 and 2014. Multivariable logistic regression was used to assess the impact of different prognostic factors.

RESULTS

The median age of the patients was 81 years (range: 75-97 years) with 40 patients >85 years of age. Age was significantly correlated with overall survival (OS) in both stage III and IV cancers (P < 0.001). For patients ≥80 years the presence of comorbid conditions was associated with a lower chance of survival (P = 0.02). A digestive stoma was created in 67 (76.1%) patients with stage III cancer and 26 (29.54%) had a stoma reversal. A palliative derivative stoma was performed in half of patients with stage IV cancer. Adjuvant chemotherapy was independently associated with improved 5-year OS (P < 0.001).

CONCLUSIONS

Age, comorbidities and adjuvant chemotherapy were independent predictors for OS. Resection of rectal tumors in fit elderly patients should be promoted; however, patients should be aware of the high risk of stoma. Geriatr Gerontol Int 2021; 21: 670-675.

Impact of Age and Comorbidity on Multimodal Management and Survival from Colorectal Cancer: A Population-Based Study

This retrospective population-based study examined the impact of age and comorbidity burden on multimodal management and survival from colorectal cancer (CRC). From 2000 to 2015, 1479 consecutive patients, who underwent surgical resection for CRC, were reviewed for age-adjusted Charlson comorbidity index (ACCI) including 19 well-defined weighted comorbidities. The impact of ACCI on multimodal management and survival was compared between low (score 0–2), intermediate (score 3) and high ACCI (score ≥ 4) groups. Changes in treatment from 2000 to 2015 were seen next to a major increase of laparoscopic surgery, increased use of adjuvant chemotherapy and an intensified treatment of metastatic disease. Patients with a high ACCI score were, by definition, older and had higher comorbidity. Major elective and emergency resections for colon carcinoma were evenly performed between the ACCI groups, as were laparoscopic and open resections. (Chemo)radiotherapy for rectal carcinoma was less frequently used, and a higher rate of local excisions, and consequently lower rate of major elective resections, was performed in the high ACCI group. Adjuvant chemotherapy and metastasectomy were less frequently used in the ACCI high group. Overall and cancer-specific survival from stage I-III CRC remained stable over time, but survival from stage IV improved. However, the 5-year overall survival from stage I–IV colon and rectal carcinoma was worse in the high ACCI group compared to the low ACCI group. Five-year cancer-specific and disease-free survival rates did not differ significantly by the ACCI. Cox proportional hazard analysis showed that high ACCI was an independent predictor of poor overall survival (p < 0.001). Our results show that despite improvements in multimodal management over time, old age and high comorbidity burden affect the use of adjuvant chemotherapy, preoperative (chemo)radiotherapy and management of metastatic disease, and worsen overall survival from CRC.

The use of neoadjuvant lobar radioembolization prior to major hepatic resection for malignancy results in a low rate of post hepatectomy liver failure

Background

Neoadjuvant yttrium-90 transarterial radioembolization (TARE) is increasingly being used as a strategy to facilitate resection of otherwise unresectable tumors due to its ability to generate both tumor response and remnant liver hypertrophy. Perioperative outcomes after the use of neoadjuvant lobar TARE remain underinvestigated.

Methods

A single center retrospective review of patients who underwent lobar TARE prior to major hepatectomy for primary or metastatic liver cancer between 2007 and 2018 was conducted. Baseline demographics, radioembolization parameters, pre- and post-radioembolization volumetrics, intra-operative surgical data, adverse events, and post-operative outcomes were analyzed.

Results

Twenty-six patients underwent major hepatectomy after neoadjuvant lobar TARE. The mean age was 58.3 years (17-88 years). 62% of patients (n=16) had primary liver malignancies while the remainder had metastatic disease. Liver resection included right hepatectomy or trisegmentectomy, left or extended left hepatectomy, and sectorectomy/segmentectomy in 77% (n=20), 8% (n=2), and 15% (n=4) of patients, respectively. The mean length of stay was 8.3 days (range, 3-33 days) and there were no grade IV morbidities or 90-day mortalities. The incidence of post hepatectomy liver failure (PHLF) was 3.8% (n=1). The median time to progression after resection was 4.5 months (range, 3.3-10 months). Twenty-three percent (n=6) of patients had no recurrence. The median survival was 28.9 months (range, 16.9-46.8 months) from major hepatectomy and 37.6 months (range, 25.2-53.1 months) from TARE.

Conclusions

Major hepatectomy after neoadjuvant lobar radioembolization is safe with a low incidence of PHLF.

Prognostic factors for stage III colon cancer in patients 80 years of age and older

PURPOSE

Oncological strategies in the elderly population are debated. The objective of this study was to assess the factors predictive of poor prognosis in elderly patients with stage III colon cancer.

METHODS

A retrospective review of demographic, pathologic, treatment, and outcome data from 308 patients with stage III colon adenocarcinoma who had undergone surgery between 2007 and 2014 was conducted. A proportional hazards model was used to assess the association of prognostic factors with disease-free survival (DFS) and overall survival (OS).

RESULTS

The 5-year survival rate was 34.4% (95% CI 27.1-39.8%) and Charlson comorbidity index was a significant predictor of death (p < 0.01). The presence of perineural invasion (p = 0.03) and incomplete resection (p < 0.001) were significantly correlated with OS. The postoperative (30 days) mortality rate was 11.7%. Adjuvant chemotherapy was significantly associated with better OS (p < 0.001) independently of the regimens. Disease-free survival was significantly correlated with adjuvant chemotherapy (HR 0.63, 95% CI: 0.42-0.97, p = 0.034), Charlson comorbidity index (CCI 5; HR 1.61, 95% CI: 1.05-2.48, p = 0.029), and venous and/or perineural invasion (HR 1.54, 95% CI: 1.03-2.29, p = 0.035).

CONCLUSION

Age, comorbidities, tumor histology, and adjuvant chemotherapy were independent predictors of prognosis in patients with stage III colon cancer. These data can be used to identify elderly patients with poor prognosis and to design future tailored randomized clinical trials.

TRIAL REGISTRATION

ClinicalTrial.gov No. NCT04526314. Date of registration 25 August 2020.

Magnitude of the Age-Advancement Effect of Comorbidities in Colorectal Cancer Prognosis

BACKGROUND

Comorbidities and old age independently compromise prognosis of patients with colorectal cancer (CRC). The impact of comorbidities could thus be considered as conveying worse prognosis already at younger ages, but evidence is lacking on how much worsening of prognosis with age is advanced to younger ages in comorbid versus noncomorbid patients. We aimed to quantify, for the first time, the impact of comorbidities on CRC prognosis in "age advancement" of worse prognosis.

METHODS

A total of 4,602 patients aged ≥30 years who were diagnosed with CRC in 2003 through 2014 were recruited into a population-based study in the Rhine-Neckar region of Germany and observed over a median period of 5.1 years. Overall comorbidity was quantified using the Charlson comorbidity index (CCI). Hazard ratios and age advancement periods (AAPs) for comorbidities were calculated from multivariable Cox proportional hazards models for relevant survival outcomes.

RESULTS

Hazard ratios for CCI scores 1, 2, and ≥3 compared with CCI 0 were 1.25, 1.53, and 2.30 (P<.001) for overall survival and 1.20, 1.48, and 2.03 (P<.001) for disease-free survival, respectively. Corresponding AAP estimates for CCI scores 1, 2, and ≥3 were 5.0 (95% CI, 1.9-8.1), 9.7 (95% CI, 6.1-13.3), and 18.9 years (95% CI, 14.4-23.3) for overall survival and 5.5 (95% CI, 1.5-9.5), 11.7 (95% CI, 7.0-16.4), and 21.0 years (95% CI, 15.1-26.9) for disease-free survival. Particularly pronounced effects of comorbidity on CRC prognosis were observed in patients with stage I-III CRC.

CONCLUSIONS

Comorbidities advance the commonly observed deterioration of prognosis with age by many years, meaning that at substantially younger ages, comorbid patients with CRC experience survival rates comparable to those of older patients without comorbidity. This first derivation of AAPs may enhance the empirical basis for treatment decisions in patients with comorbidities and highlight the need to incorporate comorbidities into prognostic nomograms for CRC.

Survival Advantage With Adjuvant Chemotherapy for Locoregionally Advanced Rectal Cancer: A Veterans Health Administration Analysis

BACKGROUND

Adjuvant chemotherapy (AC) after chemoradiation (CRT) and surgery for locoregionally advanced rectal cancer (LARC) is a standard of care in the United States. This study examined the role, optimal regimen, and duration of AC using data from the largest integrated health system in the United States.

PATIENTS AND METHODS

Using the Veterans Affairs Central Cancer Registry, patients with stage II-III rectal cancer diagnosed in 2001 through 2011 who received neoadjuvant CRT and surgery with or without AC were identified. Kaplan-Meier analysis, log-rank tests, and propensity score (PS) adjustment analysis were used to assess survival.

RESULTS

A total of 866 patients were identified; 417 received AC and 449 did not (observation [OBS] group). Median follow-up was 109 months. Median disease-specific survival (DSS) was not reached. Six-year DSS was 73.7%; 79.5% for the AC group versus 68.0% for the OBS group. PS-matched analysis for DSS favored AC (P=.0002). Median overall survival (OS) was 90.8 months. Six-year OS was 56.7%; 64.3% for AC versus 49.6% for OBS. In PS-matched analysis, median OS was 117.4 months for AC and 74.3 months for OBS (P<.0001). A DSS advantage was seen when comparing ≥4 months with <4 months of AC (P=.023). No difference in DSS or OS was seen with single-agent versus multiagent AC.

CONCLUSIONS

In this population of patients with LARC treated with neoadjuvant CRT and surgery, OS and DSS were improved among those treated with AC versus OBS. DSS benefits were seen with ≥4 months of AC. No additional benefit was observed with multiagent therapy. In the absence of phase III data, these findings support the use of AC for LARC.

The effect of treatment modifications by an onco-geriatric MDT on one-year mortality, days spent at home and postoperative complications

OBJECTIVES

Decision-making in older patients with cancer can be complex, as benefits of treatment should be weighed against possible side-effects and life-expectancy. A novel care pathway was set up incorporating geriatric assessment into treatment decision-making for older cancer patients. Treatment decisions could be modified following discussion in an onco-geriatric multidisciplinary team (MDT). We assessed the effect of treatment modifications on outcomes.

MATERIALS AND METHODS

This retrospective study was performed in the surgical department of a University Hospital. Patients of 70 years and older with a solid malignancy were included. All patients underwent a nurse-led geriatric assessment (GA) and were discussed in an onco-geriatric MDT. This could result in a modified or an unchanged treatment advice compared to the regular tumor board. Primary outcome was one-year mortality. Secondary outcomes were post-operative complications and days spent in hospital in the first year after inclusion.

RESULTS

For the 184 patients in the analyses, the median age was 77.5 years and 41.8% were female. For 46 patients (25%), the treatment advice was modified by the onco-geriatric MDT. There was no significant difference in one-year mortality between the unchanged and modified group (29.7% versus 26.1%, p = 0.7). There were, however, significantly fewer days spent in hospital (median 5 vs 8.5 days p = 0.02) and fewer grade II or higher postoperative complications (13.3% versus 35.5% p = 0.005) in the modified group.

CONCLUSION

Incorporating geriatric assessment in decision-making did not lead to excess one-year mortality, but did result in fewer complications and days spent in hospital.

Recurrence, death risk, and related factors in patients with stage 0 colorectal cancer: A nationwide population-based study

In this study, the National Health Insurance Research Database of Taiwan was used to examine the recurrence and death risk for stage 0 colorectal cancer patients. We examined stage 0 colorectal cancer patients to identify factors causing recurrence and death.This is a retrospective study, and stage 0 colorectal cancer patients that are registered in the Taiwan Cancer Registry of the Health Promotion Administration in 2007 to 2012 were included. The database was linked to the National Health Insurance Research Database, and subjects were followed up until the end of 2016. The mean follow-up period was 69 months. Bivariate analysis methods (log-rank test) and Cox proportional hazards model were used to evaluate the risk of recurrence and death and demographic characteristics, economic factors, environmental factors, health factors, treatment and hospitals, and absence/presence of postoperative tests were used to examine related risk factors.Our study showed that the 5-year recurrence rate and 5-year mortality rate for stage 0 colorectal cancer are 1.68% and 0.6%, respectively. For stage 0 colorectal cancer, age (61-74 years) is the only factor affecting recurrence in patients (hazard ratio (HR) = 2.44; 95% CI: 1.41-4.22), while age >75 years (HR = 4.35; 95% CI: 1.14-16.68) and Charlson Comorbidity Index >4 points (HR = 7.20, 95% CI: 2.60-19.94) can increase the risk of death. In contrast, patients who underwent one (HR = 0.27, 95% CI: 0.10-0.71) and two or more colonoscopies (HR = 0.26, 95% CI: 0.10-0.70) within 2 years after surgery can reduce the risk of death from stage 0 colorectal cancer. In addition, the risk of recurrence is higher in patients who underwent colonoscopic polypectomy (HR = 2.07, 95% CI: 0.98-4.33) and patients with rectal cancer (HR = 2.74, 95% CI: 0.96-7.83), but these differences are not statistically significant (P > .05).From this study, we can see that age and comorbidity index increase the risk of recurrence and death for stage 0 colorectal cancer, while postoperative colonoscopy can decrease the risk of death.

Real-world impact of laparoscopic surgery for rectal cancer: a population-based analysis

Background

Randomized trials have demonstrated equivalent oncologic outcomes and decreased morbidity in patients with rectal cancer who undergo laparoscopic surgery (lapsx) compared with open surgery (opensx). The objective of the present study was to compare short-term outcomes after lapsx and opensx in a real-world setting.

Methods

A national discharge abstract database was used to identify all patients who underwent rectal cancer resection in Canada (excluding Quebec) from April 2004 through March 2015. Short-term outcomes examined included same-admission mortality and length of stay (los).

Results

Of 28,455 patients, 82.4% underwent opensx, and 17.6%, lapsx. The use of lapsx increased to 34% in 2014 from 5.9% in 2004 (p < 0.0001). Same-admission mortality was lower among patients undergoing lapsx than among those undergoing opensx (1.08% and 1.95% respectively, p < 0.0001). On multivariable analysis, the odds of same-admission mortality with lapsx was 36% lower than that with opensx (odds ratio: 0.64; p = 0.003). Median los was shorter after lapsx than after opensx (5 days and 8 days respectively, p = 0.0001). The strong association of lapsx with shorter los was maintained on multivariable analysis controlling for patient, surgeon, and hospital factors.

Conclusions

For patients with rectal cancer, shorter los and decreased same-admission mortality are associated with the use of lapsx compared with opensx.

Development and internal validation of prediction models for colorectal cancer survivors to estimate the 1-year risk of low health-related quality of life in multiple domains

Background

Many colorectal cancer (CRC) survivors experience persisting health problems post-treatment that compromise their health-related quality of life (HRQoL). Prediction models are useful tools for identifying survivors at risk of low HRQoL in the future and for taking preventive action. Therefore, we developed prediction models for CRC survivors to estimate the 1-year risk of low HRQoL in multiple domains.

Methods

In 1458 CRC survivors, seven HRQoL domains (EORTC QLQ-C30: global QoL; cognitive, emotional, physical, role, social functioning; fatigue) were measured prospectively at study baseline and 1 year later. For each HRQoL domain, scores at 1-year follow-up were dichotomized into low versus normal/high. Separate multivariable logistic prediction models including biopsychosocial predictors measured at baseline were developed for the seven HRQoL domains, and internally validated using bootstrapping.

Results

Average time since diagnosis was 5 years at study baseline. Prediction models included both non-modifiable predictors (age, sex, socio-economic status, time since diagnosis, tumor stage, chemotherapy, radiotherapy, stoma, micturition, chemotherapy-related, stoma-related and gastrointestinal complaints, comorbidities, social inhibition/negative affectivity, and working status) and modifiable predictors (body mass index, physical activity, smoking, meat consumption, anxiety/depression, pain, and baseline fatigue and HRQoL scores). Internally validated models showed good calibration and discrimination (AUCs: 0.83–0.93).

Conclusions

The prediction models performed well for estimating 1-year risk of low HRQoL in seven domains. External validation is needed before models can be applied in practice.

Controlling nutritional status (CONUT) score as a preoperative risk assessment index for older patients with colorectal cancer

Background

Assessment of preoperative general condition to predict postoperative outcomes is important, particularly in older patients who typically suffer from various comorbidities and exhibit impaired functional status. In addition to various indices such as Charlson Comorbidity Index (CCI), National Institute on Aging and National Cancer Institute Comorbidity Index (NIA/NCI), Adult Comorbidity Evaluation-27 (ACE-27), and American Society of Anesthesiologists Physical Status classification (ASA-PS), controlling nutritional status (CONUT) score is recently gaining attention as a tool to evaluate the general condition of patients from a nutritional perspective. However, the utility of these indices in older patients with colorectal cancer has not been compared.

Methods

The study population comprised 830 patients with Stage I - IV colorectal cancer aged 75 years or older who underwent surgery at the National Cancer Center Hospital from January 2000 to December 2014. Associations of each index with overall survival (OS) (long-term outcome) and postoperative complications (short-term outcome) were examined.

Results

For the three indices with the highest Akaike information criterion values (i.e., CONUT score, CCI and ACE-27), but not the remaining indices (NIA/NCI and ASA-PS), OS significantly worsened as general condition scores decreased, after adjusting for known prognostic factors. In contrast, for postoperative complications, only CONUT score was identified as a predictive factor (≥4 versus 0–3; odds ratio: 1.90; 95% CI: 1.13–3.13; P = 0.016).

Conclusion

For older patients with colorectal cancer, only CONUT score was a predictive factor of both long-term and short-term outcomes after surgery, suggesting that CONUT score is a useful preoperative risk assessment index.

Net survival of patients with colorectal cancer: a comparison of two periods

BACKGROUND

The purpose of our analysis was to compare the results of treatment in patients who underwent resection for colorectal carcinoma.

METHODS

In the period from 1/1/1991 to 31/12/2000 1478 patients with colorectal carcinoma underwent potentially curative resection. We divided them into two 5-year period groups according to different treatment regimes. The 5-year net survival rate was estimated, where the net survival is the probability of survival derived solely from the cancer-specific hazard.

RESULTS

In a 10-year period, we resected 1478 patients. The 5-year net survival rate for R0-resected patients with colon cancer increased from 76.3 to 85.2% between the periods 1991-1995 and 1995-2000. The 5-year net survival rate for R0-resected patients with rectal cancer also increased from 67.5 to 73% in the same period.

CONCLUSION

A comparison of the 5-year net survival rate for R0-resected patients with colorectal cancer increased in the last period from 1995 to 2000 compared with the period from 1991 to 1995. In multivariate analysis, early stage at diagnosis and adjuvant chemotherapy was both associated with better net survival after surgery with curative intent. The improvement of net survival is potentially the result of combination of better surgical and adjuvant therapy.

The effects of comorbidity on colorectal cancer mortality in an Australian cancer population

This study estimated the absolute risk of colorectal cancer (CRC) specific and other-cause mortality using data from the population-based South Australian Cancer Registry. The impact of competing risks on the absolute and relative risks of mortality in cases with and without comorbidity was also investigated. The study included 7115 staged, primary CRC cases diagnosed between 2003 and 2012 with at least one year of follow-up. Comorbidities were classified according to Charlson, Elixhauser and C3 comorbidity indices, using hospital inpatient diagnoses occurring five years before CRC diagnosis. To estimate the differences in measures of association, the subdistribution hazard ratios (sHR) for the effect of comorbidity on mortality from the Fine and Gray model were compared to the cause-specific hazards (HR) from Cox regression model. CRC was most commonly diagnosed in people aged ≧ 70 years. In cases without comorbidity, the 10-year cumulative probability of CRC and other cause mortality were 37.1% and 17.2% respectively. In cases with Charlson comorbidity scores ≥2, the 10-year cumulative probability of CRC-specific and other cause mortality was 45.5% and 32.2%, respectively. Comorbidity was associated with increased CRC-specific and other cause mortality and the effect differed only marginally based on comorbidity index used.

Establishing risk-adjusted quality indicators in surgery using administrative data-an example from neurosurgery

BACKGROUND

The current draft of the German Hospital Structure Law requires remuneration to incorporate quality indicators. For neurosurgery, several quality indicators have been discussed, such as 30-day readmission, reoperation, or mortality rates; the rates of infections; or the length of stay. When comparing neurosurgical departments regarding these indicators, very heterogeneous patient spectrums complicate benchmarking due to the lack of risk adjustment.

OBJECTIVE

In this study, we performed an analysis of quality indicators and possible risk adjustment, based only on administrative data.

METHODS

All adult patients that were treated as inpatients for a brain or spinal tumour at our neurosurgical department between 2013 and 2017 were assessed for the abovementioned quality indicators. DRG-related data such as relative weight, PCCL (patient clinical complexity level), ICD-10 major diagnosis category, secondary diagnoses, age and sex were obtained. The age-adjusted Charlson Comorbidity Index (CCI) was calculated. Logistic regression analyses were performed in order to correlate quality indicators with administrative data.

RESULTS

Overall, 2623 cases were enrolled into the study. Most patients were treated for glioma (n = 1055, 40.2%). The CCI did not correlate with the quality indicators, whereas PCCL showed a positive correlation with 30-day readmission and reoperation, SSI and nosocomial infection rates.

CONCLUSION

All previously discussed quality indicators are easily derived from administrative data. Administrative data alone might not be sufficient for adequate risk adjustment as they do not reflect the endogenous risk of the patient and are influenced by certain complications during inpatient stay. Appropriate concepts for risk adjustment should be compiled on the basis of prospectively designed registry studies.

Surgical approach and geriatric evaluation for elderly patients with colorectal cancer

This review aims to define the most appropriate surgical approach and geriatric evaluation for elderly patients with colorectal cancer (CRC). Surgery represents the main treatment for CRC, but elderly cancer patients still represent a challenge for the surgeon due to frequent comorbidities such as cardiovascular and pulmonary diseases, which increase operative risk as well as the risk of postoperative morbidity and mortality. Cancer patients with comorbidities show lower survival rates and quality of life, together with higher healthcare costs. There is also evidence that patients with comorbidities sometimes receive modified treatment, compromising optimal care. To optimize treatment, the approach to elderly cancer patients needs a multidisciplinary team to assess preoperative conditions, prevent post-surgical complications and improve outcome, especially for frail patients. Laparoscopic surgery for CRC shows a number of advantages compared to conventional surgery such as less postoperative pain, rapid return to prior activities and a decrease in costs. Recent studies confirm that laparoscopic procedures could be performed safely on both older and younger patients with no difference compared with open surgery as regards morbidity or length of hospital stay.

Aging and Comorbidities in Acute Pancreatitis II.: A Cohort-Analysis of 1203 Prospectively Collected Cases

Introduction: Our meta-analysis indicated that aging influences the outcomes of acute pancreatitis (AP), however, a potential role for comorbidities was implicated, as well. Here, we aimed to determine how age and comorbidities modify the outcomes in AP in a cohort-analysis of Hungarian AP cases. Materials and Methods: Data of patients diagnosed with AP by the revised Atlanta criteria were extracted from the Hungarian Registry for Pancreatic Patients. Outcomes of interest were mortality, severity, length of hospitalization, local, and systemic complications of AP. Comorbidities were measured by means of Charlson Comorbidity Index (CCI) covering pre-existing chronic conditions. Non-parametric univariate and multivariate statistics were used in statistical analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Results: A total of 1203 patients from 18 centers were included. Median age at admission was 58 years (range: 18-95 years), median CCI was 2 (range: 0-10). Only severe comorbidities (CCI ≥ 3) predicted mortality (OR = 4.48; CI: 1.57-12.80). Although severe comorbidities predicted AP severity (OR = 2.10, CI: 1.08-4.09), middle (35-64 years) and old age (≥65 years) were strong predictors with borderline significance, as well (OR = 7.40, CI: 0.99-55.31 and OR = 6.92, CI: 0.91-52.70, respectively). Similarly, middle and old age predicted a length of hospitalization ≥9 days. Interestingly, the middle-aged patients (35-64 years) were three times more likely to develop pancreatic necrosis than young adults (OR = 3.21, CI: 1.26-8.19), whereas the old-aged (≥65 years) were almost nine times more likely to develop systemic complications than young adults (OR = 8.93, CI: 1.20-66.80), though having severe comorbidities (CCI ≥ 3) was a predisposing factor, as well. Conclusion: Our results proved that both aging and comorbidities modify the outcomes of AP. Comorbidities determine mortality whereas both comorbidities and aging predict severity of AP. Regarding complications, middle-aged patients are the most likely to develop local complications; in contrast, those having severe comorbidities are prone to develop systemic complications. Studies validating the implementation of CCI-based predictive scores are awaited.

Increased Risk of Infectious Complications in Older Patients With Indolent Non-Hodgkin Lymphoma Exposed to Bendamustine

Background

Bendamustine is a potent chemotherapy agent increasingly used to treat indolent non-Hodgkin lymphoma (iNHL). While effective, it causes significant T-cell lymphopenia, which may increase risk of infection. We examined infectious complications associated with bendamustine-containing regimens among older patients with iNHL.

Methods

For this Surveillance, Epidemiology, and End Results (SEER)-Medicare cohort study, we identified 9395 patients with iNHL (follicular, marginal zone, Waldenström macroglobulinemia) treated with chemotherapy from 2006 to 2013. Thirteen percent received bendamustine-containing regimens. We compared baseline characteristics and infection incidence rates between patients treated with and without bendamustine. We conducted multivariate Cox proportional hazards regression (adjusting for demographics, comorbidities, disease and treatment characteristics, risk factors for infection, and antimicrobial prophylaxis) to determine infectious risks associated with bendamustine.

Results

Bendamustine was associated with an increased risk of both common infections such as bacterial pneumonia (hazard ratio [HR], 1.50 [95% confidence interval {CI}, 1.21-4.85]) and opportunistic infections such as cytomegalovirus (HR, 3.98 [95% CI, 1.40-11.26]), varicella zoster virus (HR, 1.49 [95% CI, 1.18-1.89]), histoplasmosis (HR, 3.55 [95% CI, 1.10-11.42]), and Pneumocystis jirovecii pneumonia (when administered as third-line therapy: HR, 3.32 [95% CI, 1.00-11.11]). Risk of infections was more prominent in patients receiving bendamustine as part of later (third-line and above) regimens, and independently associated with well-established factors such as neutropenia and corticosteroid exposure.

Conclusions

Bendamustine is associated with an increased risk of common and opportunistic infections in patients with iNHL. Further prospective investigation into the potential role of antimicrobial prophylaxis is needed in these patients.

Comorbidities contribute to the risk of cancer death among Aboriginal and non-Aboriginal South Australians: Analysis of a matched cohort study

BACKGROUND

Aboriginal Australians have poorer cancer survival than other Australians. Diagnoses at later stages and correlates of remote area living influence, but do not fully explain, these disparities. Little is known of the prevalence and influence of comorbid conditions experienced by Aboriginal people, including their effect on cancer survival. This study quantifies hospital recorded comorbidities using the Elixhauser Comorbidity Index (ECI), examines their influence on risk of cancer death, then considers effect variation by Aboriginality.

METHODS

Cancers diagnosed among Aboriginal South Australians in 1990-2010 (N = 777) were matched with randomly selected non-Aboriginal cases by birth year, diagnostic year, sex, and primary site, then linked to administrative hospital records to the time of diagnosis. Competing risk regression summarised associations of Aboriginal status, stage, geographic attributes and comorbidities with risk of cancer death.

RESULTS

A threshold of four or more ECI conditions was associated with increased risk of cancer death (sub-hazard ratio SHR 1.66, 95%CI 1.11-2.46). Alternatively, the presence of any one of a subset of ECI conditions was associated with similarly increased risk (SHR = 1.62, 95%CI 1.23-2.14). The observed effects did not differ between Aboriginal and matched non-Aboriginal cases. However, Aboriginal cases experienced three times higher exposure than non-Aboriginal to four or more ECI conditions (14.2% versus 4.5%) and greater exposure to the subset of ECI conditions (20.7% versus 8.0%).

CONCLUSION

Comorbidities at diagnosis increased the risk of cancer death in addition to risks associated with Aboriginality, remoteness of residence and disease stage at diagnosis. The Aboriginal cohort experienced comparatively greater exposure to comorbidities which adds to disparities in cancer outcomes.

Adapting the Elixhauser comorbidity index for cancer patients

BACKGROUND

This study was designed to adapt the Elixhauser comorbidity index for 4 cancer-specific populations (breast, prostate, lung, and colorectal) and compare 3 versions of the Elixhauser comorbidity score (individual comorbidities, summary comorbidity score, and cancer-specific summary comorbidity score) with 3 versions of the Charlson comorbidity score for predicting 2-year survival with 4 types of cancer.

METHODS

This cohort study used Texas Cancer Registry-linked Medicare data from 2005 to 2011 for older patients diagnosed with breast (n = 19,082), prostate (n = 23,044), lung (n = 26,047), or colorectal cancer (n = 16,693). For each cancer cohort, the data were split into training and validation cohorts. In the training cohort, competing risk regression was used to model the association of Elixhauser comorbidities with 2-year noncancer mortality, and cancer-specific weights were derived for each comorbidity. In the validation cohort, competing risk regression was used to compare 3 versions of the Elixhauser comorbidity score with 3 versions of the Charlson comorbidity score. Model performance was evaluated with c statistics.

RESULTS

The 2-year noncancer mortality rates were 14.5% (lung cancer), 11.5% (colorectal cancer), 5.7% (breast cancer), and 4.1% (prostate cancer). Cancer-specific Elixhauser comorbidity scores (c = 0.773 for breast cancer, c = 0.772 for prostate cancer, c = 0.579 for lung cancer, and c = 0.680 for colorectal cancer) performed slightly better than cancer-specific Charlson comorbidity scores (ie, the National Cancer Institute combined index; c = 0.762 for breast cancer, c = 0.767 for prostate cancer, c = 0.578 for lung cancer, and c = 0.674 for colorectal cancer). Individual Elixhauser comorbidities performed best (c = 0.779 for breast cancer, c = 0.783 for prostate cancer, c = 0.587 for lung cancer, and c = 0.687 for colorectal cancer).

CONCLUSIONS

The cancer-specific Elixhauser comorbidity score performed as well as or slightly better than the cancer-specific Charlson comorbidity score in predicting 2-year survival. If the sample size permits, using individual Elixhauser comorbidities may be the best way to control for confounding in cancer outcomes research. Cancer 2018;124:2018-25. © 2018 American Cancer Society.

Availability and feasibility of structured, routine collection of comorbidity data in a colorectal cancer multi-disciplinary team (MDT) setting

PURPOSE

Availability of comorbidity assessment at multi-disciplinary team (MDT) discussions is cornerstone in making the MDT process more robust and decisive in optimising treatment and improving quality of survivorship. Comorbidity assessments using tools, such as the ACE-27 questionnaire would aid in optimising the decision-making process at MDTs so that treatment decisions can be made without delay. This study determined the availability of comorbidity data in a CRC MDT and the feasibility of routine comorbidity data collection using the validated ACE-27 questionnaire. Secondary aims determined the optimal time and method of collecting comorbidity data.

METHODS

A retrospective mapping exercise (phase I; 6-months) examined the availability of comorbidity data within the MDT. Phase II prospectively collected comorbidity data using ACE-27 for a 3-month period following a short pilot.

RESULTS

In phase I, 73/135 (54%) patients had comorbidity data readily available informing the MDT discussion; 62 patients lacked this information. After a review of the patient records, it was clear that 41 of these 62 also had comorbidities and 21 out of the 135 had ≥ 2 major system disorders. Common referral sources to the MDT were surgical outpatient clinics (42%) and the endoscopy unit (13%). The average lead-time from referral to MDT discussion was 14 days. In phase II, an ACE-27 questionnaire was prospectively administered in 50 patients, mean age 54 years (range 20-84). Male: female ratio 26:24. Average time to administer ACE-27 was 4.8 min (range 1-15).

CONCLUSIONS

The phase I study confirmed the widely acknowledged view of poor comorbidity data availability within a CRC MDT. Phase II demonstrated the feasibility of routinely collecting comorbidity data using ACE-27.

Age-adjusted Charlson Comorbidity Index predicts prognosis of laryngopharyngeal cancer treated with radiation therapy

OBJECTIVES

To examine the ability of comorbidity indices to predict the prognosis of laryngopharyngeal cancer and their association with treatment modalities.

METHODS

This retrospective study included 198 patients with laryngeal, hypopharyngeal, and oropharyngeal cancers. The effect of comorbidity indices on overall survival between surgery and (chemo)-radiation therapy ((C)RT) groups was analyzed. The cumulative incidence rates for cancer mortality and other mortalities according to the age-adjusted Charlson Comorbidity Index (ACCI) and Charlson Comorbidity Index (CCI) were compared.

RESULTS

Univariate survival analyses showed a significant association between the ACCI and overall survival in the (C)RT group, but not in the surgery group. The association between the CCI and overall survival was not significant in either group. In multivariate analyses, a high ACCI score was an independent prognostic factor in the (C)RT group (HR 2.89, 95% confidence interval (CI) 1.28-6.49), but not in the surgery group (HR 1.39, 95%CI 0.27-5.43). The higher ACCI group had increased mortality from other causes compared with the lower ACCI group (5-year cumulative incidence, 8.5% and 17.8%, respectively, p = .003).

CONCLUSION

The ACCI was a better prognostic factor than the CCI. Surgery may be more beneficial than radiation for patients with a high ACCI.

Extramural Venous Invasion as Prognostic Factor of Recurrence in Stage 1 and 2 Colon Cancer

Aim

Extramural venous invasion (EMVI) is a prognostic indicator in patients with colorectal cancer. However, its additional value in patients with stage 1 and 2 colorectal cancer is uncertain. In the present study, the incidence of EMVI and the hazard ratio for recurrence in patients with stage 1 and 2 colon cancer were studied.

Methods

184 patients treated for stage 1 and 2 colon cancer were included with a follow-up of at least 5 years. Chart review was performed and EMVI was assessed by two separate pathologists. EMVI was scored with additional caldesmon staining on the resection specimen. Primary outcomes were recurrence-free survival (RFS) measured through the Cox regression analysis and prevalence of EMVI.

Results

There were 10 cases of EMVI and 3 cases of intramural venous invasion (IMVI) all occurring in patients with stage 2 disease corresponding to a prevalence of 9%. Thirty-one percent of the patients with venous invasion experienced recurrence versus 14% in patients without, corresponding with a hazard ratio of 2.39 (p = 0.11).

Conclusion

The present study demonstrates a trend towards an increased risk of recurrence in patients with stage 2 colon cancer with venous invasion. This warrants consideration of adjuvant chemotherapy despite the lack of lymph node metastases.

Self-rated health and associated factors in elderly patients with non-Hodgkin lymphoma

BACKGROUND

Self-rated health is a useful indicator for understanding health issues in elderly populations and considered to be a predictor of adverse health outcomes in this group. This study aims to identify factors associated with self-rated health in elderly people with non-Hodgkin's lymphoma.

METHODS

Cross-sectional study performed at a cancer referral hospital in Rio de Janeiro, Brazil, included 162 patients, aged 60 or more years. All patients received a Multidimensional Geriatric Assessment, including seven health dimensions, and socio-demographic, epidemiological and it were collected clinical data. Descriptive analyses were performed and prevalence ratios were calculated to assess associations between self-rated health and the independent variables. Multivariate analysis was performed using Poisson's regression, to a ≤0.05 level of statistical significance.

RESULTS

The study population mean age was 68.8 (SD=7.1) years; most were women, lived with a partner and had little education. Prevalence of fair/poor self-rated health was 33.6%. Being female, not living with a partner, functional dependence, depressive symptoms and nutritional risk/malnutrion showed associations with fair/poor self-rated health. In the multiple model, dependence in instrumental activities of daily living (PR 2.96; 95%CI 1.66-5.30) and presence of depressive symptoms (PR 1.78; 95%CI 1.15-2.75) remained associated with fair/poor health.

CONCLUSION

Variation in perceived health status supports the hypothesis that self-rated health is related to multiple issues, regardless of disease status. The risk profile for poor self-rated health identified may be a useful tool in care for older cancer patients, as it points to those at higher risk of adverse health outcomes.

Association between Charlson comorbidity index score and outcome in patients with stage IIIB-IV non-small cell lung cancer

Background

This retrospective study investigated the association between the Charlson comorbidity index (CCI) score and the survival of patients with stage IIIB-IV (advanced, non-resectable) non-small cell lung cancer (NSCLC) who also did not have gene mutations in epidermal growth factor receptor (EGFR) or anaplastic lymphoma kinase (ALK).

Methods

The records of 165 patients (28–80 y, median 61 y) who met the above criteria and were admitted to Beijing Friendship Hospital Capital Medical University from 1 May 2010 to 1 October 2014were reviewed. Associations between baseline variables and the CCI score were assessed via univariate and multivariate logistic regression analysis. Overall survival was defined as the time from the first clinic visit to death from any cause, or to the end of follow-up. Survival curves were estimated via the Kaplan-Meier method and compared with the log-rank test.

Results

Logistic regression analyses indicated that smoking and performance status were independently associated with the CCI score. Smoking was associated with an increased risk of mortality (odds ratio (OR) 4.12 (95% confidence interval [CI] 1.92–8.84) compared to non-smokers), as was performance status 2 (ambulatory, capable of self-care, unable to perform any work activities; active for >50% of waking hours) (OR 2.22 (95% CI, 1.14–4.33) compared to performance status 1). Univariate Cox’s regression analyses showed that the hazard ratios were significantly associated with the CCI score (P = 0.009), smoking (P = 0.042), and male gender (P = 0.021).

Conclusion

The CCI score is an important prognostic factor for the prediction of overall survival in patients with stage IIIB-IV NSCLC who are negative for EGFR and ALK gene mutations.