Work Ability in Patients With Stage I to IV Colon Cancer: Results of the Dutch Prospective Colorectal Cancer Cohort.

BACKGROUND: Colon cancer affects a patient's ability to work. Many patients who have colon cancer are employed at the time of diagnosis. OBJECTIVE: We evaluated work ability during the first 2 years after colon cancer diagnosis. DESIGN: This study is a national prospective study, the Prospective Dutch ColoRectal Cancer cohort, including clinical data and patient-reported outcomes. SETTINGS: Data were collected in 59 medical centers in the Netherlands. PATIENTS: Patients <67 years of age with stage I to IV colon cancer and who completed Work Ability Index questionnaires were selected. MAIN OUTCOME MEASURES: Work ability was assessed at baseline, 3, 6, 12, 18, and 24 months. The Work Ability Index (range, 0 to 49) was evaluated using linear mixed models. Outcomes were matched to population controls without cancer. RESULTS: Of 390 patients, 84% had paid employment. Work ability of patients with stage I to IV colon cancer was significantly lower at the time of diagnosis than in matched population controls (31 ± 8.2 and 41 ± 5.6). Patients with stage I to III disease receiving surgery only regained Work Ability Index scores comparable to matched population controls at 18 months. Patients receiving adjuvant systemic treatment initially demonstrated a decrease in work ability with improvements from 6 months onward and normalization at 24 months. Patients with stage IV disease did not demonstrate improvements in work ability outcomes over time. Work ability scores were negatively influenced by the administration of systemic treatment and ≥1 comorbidities. LIMITATIONS: Only patients with patient-reported outcomes and work at baseline were included in this analysis. Also, questionnaire response rates decreased over time. CONCLUSIONS: Work ability in patients with colon cancer is decreased for a prolonged time. Recovery depends on disease stage, type of treatment, and comorbidities. Patients with stage I to III disease treated with curative surgery alone were the first to regain work ability, followed by patients who receive adjuvant chemotherapy. Patients with stage IV disease did not regain work ability. See Video Abstract at http://links.lww.com/DCR/B759 . CAPACIDAD LABORAL EN PACIENTES CON CNCER DE COLON EN ESTADIO IIV RESULTADOS PROSPECTIVOS DE CNCER COLORECTAL EN UNA COHORTE HOLANDESA: ANTECEDENTES:El cáncer de colon afecta la capacidad de trabajo en un paciente. Muchos pacientes con cáncer de colon están empleados en el momento del diagnóstico.OBJETIVO:Evaluamos la capacidad laboral durante los dos primeros años posteriores al diagnóstico de cáncer de colon.DISEÑO:Es un estudio prospectivo nacional, la cohorte de cáncer colorrectal holandés, incluye datos clínicos y resultados informados por los pacientes.ENTORNO CLINICO:Se recopilaron datos de 59 centros médicos en los Países Bajos.PACIENTES:Se seleccionaron pacientes < 67 años, con cáncer de colon en estadio I-IV, que completaron los cuestionarios de índice de capacidad para el trabajo.PRINCIPALES MEDIDAS DE VALORACIÓN:La capacidad para el trabajo se evaluó al inicio, a los 3, 6, 12, 18 y 24 meses. El índice de capacidad para el trabajo (que va de 0 a 49) se evaluó mediante modelos lineales mixtos. Los resultados fueron comparados con el grupo control sin cáncer.RESULTADOS:De 390 pacientes, el 84% tenía un empleo remunerado. La capacidad de trabajo de los pacientes en estadio I-IV fue significativamente menor en el momento del diagnóstico en comparación con el grupo control (31 ± 8,2 y 41 ± 5,6, respectivamente). Los pacientes con enfermedad en estadio I-III que recibieron cirugía lograron recuperar puntajes del índice de capacidad laboral comparables a los controles a los 18 meses. Los pacientes que recibieron tratamiento sistémico adyuvante inicialmente demostraron una disminución en la capacidad de trabajo con mejoras a partir de los 6 meses en adelante y una normalización a los 24 meses. Los pacientes en estadio IV no demostraron mejoras en los resultados de la capacidad laboral a lo largo del tiempo. Las puntuaciones de capacidad para el trabajo se vieron influidas negativamente por la administración del tratamiento sistémico y la existencia de ≥1 comorbilidades.LIMITACIONES:En este análisis solo se incluyeron los pacientes con resultados y trabajo desde el inicio del estudio. Además, las tasas de respuesta al cuestionario disminuyeron con el tiempo.CONCLUSIONES:La capacidad de trabajo en pacientes con cáncer de colon se reduce durante un tiempo prolongado. La recuperación depende del estadio de la enfermedad, el tipo de tratamiento y la comorbilidad. Los pacientes con enfermedad en estadio I-III tratados con cirugía curativa exclusivamente, son los primeros en recuperar la capacidad para trabajar, seguidos de los pacientes que reciben quimioterapia adyuvante. Los pacientes con enfermedad en estadio IV no recuperan la capacidad para trabajar. Consulte Video Resumen en http://links.lww.com/DCR/B759 . (Traducción- Dr. Ingrid Melo ).

Comparing Modeling Approaches for Discrete Event Simulations With Competing Risks Based on Censored Individual Patient Data: A Simulation Study and Illustration in Colorectal Cancer.

OBJECTIVES: This study aimed to provide detailed guidance on modeling approaches for implementing competing events in discrete event simulations based on censored individual patient data (IPD). METHODS: The event-specific distributions (ESDs) approach sampled times from event-specific time-to-event distributions and simulated the first event to occur. The unimodal distribution and regression approach sampled a time from a combined unimodal time-to-event distribution, representing all events, and used a (multinomial) logistic regression model to select the event to be simulated. A simulation study assessed performance in terms of relative absolute event incidence difference and relative entropy of time-to-event distributions for different types and levels of right censoring, numbers of events, distribution overlap, and sample sizes. Differences in cost-effectiveness estimates were illustrated in a colorectal cancer case study. RESULTS: Increased levels of censoring negatively affected the modeling approaches' performance. A lower number of competing events and higher overlap of distributions improved performance. When IPD were censored at random times, ESD performed best. When censoring occurred owing to a maximum follow-up time for 2 events, ESD performed better for a low level of censoring (ie, 10%). For 3 or 4 competing events, ESD better represented the probabilities of events, whereas unimodal distribution and regression better represented the time to events. Differences in cost-effectiveness estimates, both compared with no censoring and between approaches, increased with increasing censoring levels. CONCLUSIONS: Modelers should be aware of the different modeling approaches available and that selection between approaches may be informed by data characteristics. Performing and reporting extensive validation efforts remains essential to ensure IPD are appropriately represented.

Evaluation of the performance of algorithms mapping EORTC QLQ-C30 onto the EQ-5D index in a metastatic colorectal cancer cost-effectiveness model.

BACKGROUND: Cost-effectiveness models require quality of life utilities calculated from generic preference-based questionnaires, such as EQ-5D. We evaluated the performance of available algorithms for QLQ-C30 conversion into EQ-5D-3L based utilities in a metastatic colorectal cancer (mCRC) patient population and subsequently developed a mCRC specific algorithm. Influence of mapping on cost-effectiveness was evaluated. METHODS: Three available algorithms were compared with observed utilities from the CAIRO3 study. Six models were developed using 5-fold cross-validation: predicting EQ-5D-3L tariffs from QLQ-C30 functional scale scores, continuous QLQ-C30 scores or dummy levels with a random effects model (RE), a most likely probability method on EQ-5D-3L functional scale scores, a beta regression model on QLQ-C30 functional scale scores and a separate equations subgroup approach on QLQ-C30 functional scale scores. Performance was assessed, and algorithms were tested on incomplete QLQ-C30 questionnaires. Influence of utility mapping on incremental cost/QALY gained (ICER) was evaluated in an existing Dutch mCRC cost-effectiveness model. RESULTS: The available algorithms yielded mean utilities of 1: 0.87 ± sd:0.14,2: 0.81 ± 0.15 (both Dutch tariff) and 3: 0.81 ± sd:0.19. Algorithm 1 and 3 were significantly different from the mean observed utility (0.83 ± 0.17 with Dutch tariff, 0.80 ± 0.20 with U.K. tariff). All new models yielded predicted utilities drawing close to observed utilities; differences were not statistically significant. The existing algorithms resulted in an ICER difference of €10,140 less and €1765 more compared to the observed EQ-5D-3L based ICER (€168,048). The preferred newly developed algorithm was €5094 higher than the observed EQ-5D-3L based ICER. Disparity was explained by minimal diffences in incremental QALYs between models. CONCLUSION: Available mapping algorithms sufficiently accurately predict utilities. With the commonly used statistical methods, we did not succeed in developping an improved mapping algorithm. Importantly, cost-effectiveness outcomes in this study were comparable to the original model outcomes between different mapping algorithms. Therefore, mapping can be an adequate solution for cost-effectiveness studies using either a previously designed and validated algorithm or an algorithm developed in this study.

The etiology and outcome of non-traumatic coma in critical care: a systematic review.

BACKGROUND: Non-traumatic coma (NTC) is a serious condition requiring swift medical or surgical decision making upon arrival at the emergency department. Knowledge of the most frequent etiologies of NTC and associated mortality might improve the management of these patients. Here, we present the results of a systematic literature search on the etiologies and prognosis of NTC. METHODS: Two reviewers independently performed a systematic literature search in the Pubmed, Embase and Cochrane databases with subsequent reference and citation checking. Inclusion criteria were retrospective or prospective observational studies on NTC, which reported on etiologies and prognostic information of patients admitted to the emergency department or intensive care unit. RESULTS: Eventually, 14 studies with enough data on NTC, were selected for this systematic literature review. The most common causes of NTC were stroke (6-54%), post-anoxic coma (3-42%), poisoning (<1-39%) and metabolic causes (1-29%). NTC was also often caused by infections, especially in African studies affecting 10-51% of patients. The NTC mortality rate ranged from 25 to 87% and the mortality rate continued to increase long after the event had occurred. Also, 5-25% of patients remained moderately-severely disabled or in permanent vegetative state. The mortality was highest for stroke (60-95%) and post-anoxic coma (54-89%) and lowest for poisoning (0-39%) and epilepsy (0-10%). CONCLUSION: NTC represents a challenge to the emergency and the critical care physicians with an important mortality and moderate-severe disability rate. Even though, included studies were very heterogeneous, the most common causes of NTC are stroke, post anoxic, poisoning and various metabolic etiologies. The best outcome is achieved for patients with poisoning and epilepsy, while the worst outcome was seen in patients with stroke and post-anoxic coma. Adequate knowledge of the most common causes of NTC and prioritizing the causes by mortality ensures a swift and adequate work-up in diagnosis of NTC and may improve outcome.

[An exceptional venous pattern in a patient with cancer]. / Een vrouw met kanker en een opvallende venetekening.

A 71-year-old female was treated with carboplatin and paclitaxel for an endometrial carcinosarcoma. The patient demonstrated an unusual type 1 allergic reaction on carboplatin, which started with an erythematous urticarial venous pattern proximal from the venous catheter with carboplatin.

Folate, folic acid, and chemotherapy-induced toxicities: A systematic literature review.

Folate metabolism is a target for various chemotherapeutic drugs. Folate and its synthetic variant folic acid are B-vitamins. To what extent these vitamins impact treatment tolerance in patients with cancer remains unclear. A systematic literature review was conducted on intake and status of folate and folic acid in relation to chemotherapy-induced toxicities in children and adults with cancer. A total of 6231 publications were identified, of which 40 publications met the inclusion criteria. In 12 out of 22 studies focusing on antifolates, a deficient folate status and lower folate and folic acid intake were associated with a higher risk of toxicities. In 8 out of 14 studies focusing on fluoropyrimidine treatments, a higher folate status and intake were associated with a higher risk of toxicities. These findings might explain interindividual differences in treatment tolerance and highlight the importance of evaluating nutritional status in oncology care.

Comparing Strategies for Modeling Competing Risks in Discrete-Event Simulations: A Simulation Study and Illustration in Colorectal Cancer.

BACKGROUND: Different strategies toward implementing competing risks in discrete-event simulation (DES) models are available. This study aims to provide recommendations regarding modeling approaches that can be defined based on these strategies by performing a quantitative comparison of alternative modeling approaches. METHODS: Four modeling approaches were defined: 1) event-specific distribution (ESD), 2) event-specific probability and distribution (ESPD), 3) unimodal joint distribution and regression model (UDR), and 4) multimodal joint distribution and regression model (MDR). Each modeling approach was applied to uncensored individual patient data in a simulation study and a case study in colorectal cancer. Their performance was assessed in terms of relative event incidence difference, relative absolute event incidence difference, and relative entropy of time-to-event distributions. Differences in health economic outcomes were also illustrated for the case study. RESULTS: In the simulation study, the ESPD and MDR approaches outperformed the ESD and UDR approaches, in terms of both event incidence differences and relative entropy. Disease pathway and data characteristics, such as the number of competing risks and overlap between competing time-to-event distributions, substantially affected the approaches' performance. Although no considerable differences in health economic outcomes were observed, the case study showed that the ESPD approach was most sensitive to low event rates, which negatively affected performance. CONCLUSIONS: Based on overall performance, the recommended modeling approach for implementing competing risks in DES models is the MDR approach, which is defined according to the general strategy of selecting the time-to-event first and the corresponding event second. The ESPD approach is a less complex and equally performing alternative if sufficient observations are available for each competing event (i.e., the internal validity shows appropriate data representation).

Matching the model with the evidence: comparing discrete event simulation and state-transition modeling for time-to-event predictions in a cost-effectiveness analysis of treatment in metastatic colorectal cancer patients.

BACKGROUND: Individual patient data, e.g. from clinical trials, often need to be extrapolated or combined with additional evidence when assessing long-term impact in cost-effectiveness modeling studies. Different modeling methods can be used to represent the complex dynamics of clinical practice; the choice of which may impact cost-effectiveness outcomes. We compare the use of a previously designed cohort discrete-time state-transition model (DT-STM) with a discrete event simulation (DES) model. METHODS: The original DT-STM was replicated and a DES model developed using AnyLogic software. Models were populated using individual patient data of a phase III study in metastatic colorectal cancer patients, and compared based on their evidence structure, internal validity, and cost-effectiveness outcomes. The DT-STM used time-dependent transition probabilities, whereas the DES model was populated using parametric distributions. RESULTS: The estimated time-dependent transition probabilities for the DT-STM were irregular and more sensitive to single events due to the required small cycle length and limited number of event observations, whereas parametric distributions resulted in smooth time-to-event curves for the DES model. Although the DT-STM and DES model both yielded similar time-to-event curves, the DES model represented the trial data more accurately in terms of mean health-state durations. The incremental cost-effectiveness ratio (ICER) was €172,443 and €168,383 per Quality Adjusted Life Year gained for the DT-STM and DES model, respectively. CONCLUSION: DES represents time-to-event data from clinical trials more naturally and accurately than DT-STM when few events are observed per time cycle. As a consequence, DES is expected to yield a more accurate ICER.