Anxiety, depression, health-related quality of life, and mortality among colorectal patients: 5-year follow-up

Purpose Health-related quality of life (HRQoL) measurement represents an important outcome in cancer patients. We describe the evolution of HRQoL over a 5-year period in colorectal cancer patients, identifying predictors of change and how they relate to mortality. Methods Prospective observational cohort study including colorectal cancer (CRC) patients having undergone surgery in nineteen public hospitals who were monitored from their diagnosis, intervention and at 1-, 2-, 3-, and 5-year periods thereafter by gathering HRQoL data using the EuroQol-5D-5L (EQ-5D-5L), European Organization for Research and Treatment of Cancer's Quality of Life Questionnaire-Core 30 (EORTC-QLQ-C30), and Hospital Anxiety and Depression Scale (HADS) questionnaires. Multivariable generalized linear mixed models were used. Results Predictors of Euroqol-5D-5L (EQ-5D-5L) changes were having worse baseline HRQoL; being female; higher Charlson index score (more comorbidities); complications during admission and 1 month after surgery; having a stoma after surgery; and needing or being in receipt of social support at baseline. For EORTC-QLQ-C30, predictors of changes were worse baseline EORTC-QLQ-C30 score; being female; higher Charlson score; complications during admission and 1 month after admission; receiving adjuvant chemotherapy; and having a family history of CRC. Predictors of changes in HADS anxiety were being female and having received adjuvant chemotherapy. Greater depression was associated with greater baseline depression; being female; higher Charlson score; having complications 1 month after intervention; and having a stoma. A deterioration in all HRQoL questionnaires in the previous year was related to death in the following year. Conclusions These findings should enable preventive follow-up programs to be established for such patients in order to reduce their psychological distress and improve their HRQoL to as great an extent as possible.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work was supported in part by grants from the Instituto de Salud Carlos III and the European Regional Development Fund (PS09/00314, PS09/00910, PS09/00746, PS09/00805, PI09/90460, PI09/90490, PI09/90453, PI09/90441, PI09/90397); the Departments of Health (2010111098) and Education, Language Policy and Culture (IT620-13) of the Basque Government; the Research Committee of Hospital Galdakao; and the thematic network-REDISSEC (Red de Investigacion en Servicios de Salud en Enfermedades Cronicas)-of the Instituto de Salud Carlos III

Predictors of one and two years' mortality in patients with colon cancer: A prospective cohort study

BACKGROUND: Tools to aid in the prognosis assessment of colon cancer patients in terms of risk of mortality are needed. Goals of this study are to develop and validate clinical prediction rules for 1- and 2-year mortality in these patients. METHODS: This is a prospective cohort study of patients diagnosed with colon cancer who underwent surgery at 22 hospitals. The main outcomes were mortality at 1 and 2 years after surgery. Background, clinical parameters, and diagnostic tests findings were evaluated as possible predictors. Multivariable multilevel logistic regression and survival models were used in the analyses to create the clinical prediction rules. Models developed in the derivation sample were validated in another sample of the study. RESULTS: American Society of Anesthesiologists Physical Status Classification System (ASA), Charlson comorbidity index (> = 4), age (>75 years), residual tumor (R2), TNM stage IV and log of lymph nodes ratio (> = -0.53) were predictors of 1-year mortality (C-index (95% CI): 0.865 (0.792-0.938)). Adjuvant chemotherapy was an additional predictor. Again ASA, Charlson Index (> = 4), age (>75 years), log of lymph nodes ratio (> = -0.53), TNM, and residual tumor were predictors of 2-year mortality (C-index:0.821 (0.766-0.876). Chemotherapy was also an additional predictor. CONCLUSIONS: These clinical prediction rules show very good predictive abilities of one and two years survival and provide clinicians and patients with an easy and quick-to-use decision tool for use in the clinical decision process while the patient is still in the index admission.This work was supported in part by grants from the Instituto de Salud Carlos III and by the European Regional Development Funds-ERDF (PS09/00314, PS09/00910, PS09/00746, PS09/00805, PI09/90460, PI09/90490, PI09/90453, PI09/90441, PI09/90397); Department of Health of the Basque Country (2010111098); the Research Committee of the Hospital Galdakao; and the thematic networks REDISSEC (Red de Investigación en Servicios de Salud en Enfermedades Crónicas)-of the Instituto de Salud Carlos III RD12/0001/0001 and Education, Politic Linguistic and Culture of the Basque Government IT620-13. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.S

Determinants of change in physical activity during moderate-to-severe COPD exacerbation

BACKGROUND: Data are scarce on patient physical activity (PA) level during exacerbations of chronic obstructive pulmonary disease (eCOPD). The objective of the study was to evaluate the level and determinants of change in PA during an eCOPD. MATERIALS AND METHODS: We conducted a prospective cohort study with recruitment from emergency departments (EDs) of 16 participating hospitals from June 2008 to September 2010. Data were recorded on socioeconomic characteristics, dyspnea, forced expiratory volume in 1 second (FEV1%), comorbidities, health-related quality of life, factors related to exacerbation, and PA in a stable clinical condition and during the eCOPD episode. RESULTS: We evaluated 2,487 patients. Common factors related to the change in PA during hospital admission or 7 days after discharge to home from the ED were lower PA at baseline and during the first 24 hours after the index evaluation. Age, quality of life, living alone, length of hospital stay, and use of anticholinergic or systemic corticosteroids in treating the exacerbation were associated with the change in PA among hospitalized patients. Predictors of change among patients not admitted to hospital were baseline FEV1% and dyspnea at rest on ED arrival. CONCLUSION: Among the patients evaluated in an ED for an eCOPD, the level and change in PA was markedly variable. Factors associated with exacerbation (PA 24 hours after admission, medication during admission, and length of hospital stay) and variables reflecting patients' stable clinical condition (low level of PA, age, quality of life, FEV1%) are predictors of the change in PA during a moderate-to-severe eCOPD.This work was supported in part by grants from the Fondo de Investigación Sanitaria (PI 06/1010, PI06/1017,/nPI06/714, PI06/0326, PI06/0664); Department of Health of the Basque Country, Department of Education, Universities and Research of the Basque Government (UE09/62); the Research Committee of the Hospital Galdakao; and the thematic networks – Red IRYSS (Investigacion en Resultados y Servicios Sanitarios (G03/220) – of the Instituto de Salud Carlos III

Determinants of change in physical activity during moderate-to-severe COPD exacerbation

BACKGROUND: Data are scarce on patient physical activity (PA) level during exacerbations of chronic obstructive pulmonary disease (eCOPD). The objective of the study was to evaluate the level and determinants of change in PA during an eCOPD. MATERIALS AND METHODS: We conducted a prospective cohort study with recruitment from emergency departments (EDs) of 16 participating hospitals from June 2008 to September 2010. Data were recorded on socioeconomic characteristics, dyspnea, forced expiratory volume in 1 second (FEV1%), comorbidities, health-related quality of life, factors related to exacerbation, and PA in a stable clinical condition and during the eCOPD episode. RESULTS: We evaluated 2,487 patients. Common factors related to the change in PA during hospital admission or 7 days after discharge to home from the ED were lower PA at baseline and during the first 24 hours after the index evaluation. Age, quality of life, living alone, length of hospital stay, and use of anticholinergic or systemic corticosteroids in treating the exacerbation were associated with the change in PA among hospitalized patients. Predictors of change among patients not admitted to hospital were baseline FEV1% and dyspnea at rest on ED arrival. CONCLUSION: Among the patients evaluated in an ED for an eCOPD, the level and change in PA was markedly variable. Factors associated with exacerbation (PA 24 hours after admission, medication during admission, and length of hospital stay) and variables reflecting patients' stable clinical condition (low level of PA, age, quality of life, FEV1%) are predictors of the change in PA during a moderate-to-severe eCOPD.This work was supported in part by grants from the Fondo de Investigación Sanitaria (PI 06/1010, PI06/1017,/nPI06/714, PI06/0326, PI06/0664); Department of Health of the Basque Country, Department of Education, Universities and Research of the Basque Government (UE09/62); the Research Committee of the Hospital Galdakao; and the thematic networks – Red IRYSS (Investigacion en Resultados y Servicios Sanitarios (G03/220) – of the Instituto de Salud Carlos III

Detail of risk factors associated to one-year mortality risk categories.

<p>Risk factors include: ASA = IV, Charlson index ≥4, age>75 years, results of the surgery = R2 and Log lymph nodes ratio >-0.53.</p

Predictors of mortality at 2 year in patients with colon cancer.

<p>Multivariate Cox regression analysis.</p

Categorical risk scores prediction of mortality at 1 or 2 years after surgery.

<p>Categorical risk scores prediction of mortality at 1 or 2 years after surgery.</p

Detail of risk factors associated to two-years mortality risk categories.

<p>Risk factors include: ASA = IV, Charlson index ≥4, age>75 years, results of the surgery = R2 and Log lymph nodes ratio >-0.53.*Minor risk factor: Charlson index ≥4 and ASA = IV. †Moderate risk factors: age>75 years, results of the surgery = R2 and Log lymph nodes ratio >-0.53.</p

Flow-chart of the recruitment and follow-up process.

<p>Flow-chart of the recruitment and follow-up process.</p

Predictors of mortality at 1 year in patients with colon cancer.

<p>Multivariate Cox regression analysis.</p