Colorectal cancer (CRC) survival depends mostly on stage at the time of diagnosis. However, symptom duration at diagnosis or treatment have also been considered as predictors of stage and survival. This study was designed to: 1) establish the distinct time-symptom duration intervals; 2) identify factors associated with symptom duration until diagnosis and treatment. This is a cross-sectional study of all incident cases of symptomatic CRC during 2006–2009 (795 incident cases) in 5 Spanish regions. Data were obtained from patients’ interviews and reviews of primary care and hospital clinical records. Measurements: CRC symptoms, symptom perception, trust in the general practitioner (GP), primary care and hospital examinations/visits before diagnosis, type of referral and tumor characteristics at diagnosis. Symptom Diagnosis Interval (SDI) was calculated as time from first CRC symptoms to date of diagnosis. Symptom Treatment Interval (STI) was defined as time from first CRC symptoms until start of treatment. Nonparametric tests were used to compare SDI and STI according to different variables. Symptom to diagnosis interval for CRC was 128 days and symptom treatment interval was 155. No statistically significant differences were observed between colon and rectum cancers. Women experienced longer intervals than men. Symptom presentation such as vomiting or abdominal pain and the presence of obstruction led to shorter diagnostic or treatment intervals. Time elapsed was also shorter in those patients that perceived their first symptom/s as serious, disclosed it to their acquaintances, contacted emergencies services or had trust in their GPs. Primary care and hospital doctor examinations and investigations appeared to be related to time elapsed to diagnosis or treatment. Results show that gender, symptom perception and help-seeking behaviour are the main patient factors related to interval duration. Health service performance also has a very important role in symptom to diagnosis and treatment interval. If time to diagnosis is to be reduced, interventions and guidelines must be developed to ensure appropriate examination and diagnosis during both primary and hospital care.

Aim: To investigate the clinical variables associated with the risk of dying and the causes of death during the course of alcoholic withdrawal syndrome (AWS) in a general hospital. Methods: Cohort study of AWS patients admitted to Xeral Hospital in Lugo, Spain between 1987 and 2003. The characteristics of patients who died were contrasted with those who survived. The different clinical, epidemiological and biochemical variables reflective of alcohol consumption habits, basal health status and presentation features of the syndrome and its complications were all recorded. Results: There were 539 episodes of hospitalization for AWS in 436 patients (mean age 45.0, SD 12.0, 91.3% males), 71.1% of whom presented with delirium tremens. A total of 29 patients died, yielding a 6.6% mortality rate (95% confidence interval, CI: 4.2–9.1%). Eighteen patients (62%) died after being admitted to the intensive care unit (ICU). The following independent variables were associated with the risk of dying in a multivariate logistic regression model: cirrhosis [odds ratio (OR) 4.8 (95% CI 1.5–14.6), P = 0.006]; presenting with delirium tremens at diagnosis [OR 3.5 (95% CI 1.3–8.9), P = 0.008]; the existence of an underlying chronic pathology other than liver disease [OR 2.5 (95% CI 1–6.1), P = 0.01]; and the need for orotracheal intubation [OR 2.9 (95% CI 1.1–7.9), P = 0.03], especially if pneumonia requiring ICU is added [OR 8 (95% CI 3–21.3), P < 0.001]. Receiver operating characteristic analysis revealed an area under the curve of 0.818 (95% CI 0.742–0.894). Conclusions: The factors determining survival after admission to a general hospital for alcoholic withdrawal syndrome depend on the intensity of clinical manifestations (delirium tremens, ICU, orotracheal intubation) and the presence of associated comorbidity.

To investigate the usefulness of multistate models (MSM) for determining colorectal cancer (CRC) recurrence rate, to analyse the effect of different factors on tumour recurrence and death, and to assess the impact of recurrence for CRC prognosis. Observational follow-up study of incident CRC cases disease-free after curative resection in 2006-2013 (n = 994). Recurrence and mortality were analyzed with MSM, as well as covariate effects on transition probabilities. Cumulative incidence of recurrence at 60 months was 13.7%. Five years after surgery, 70.3% of patients were alive and recurrence-free, and 8.4% were alive after recurrence. Recurrence has a negative impact on prognosis, with 5-year CRC-related mortality increasing from 3.8% for those who are recurrence-free 1-year after surgery to 33.6% for those with a recurrence. Advanced stage increases recurrence risk (HR = 1.53) and CRC-related mortality after recurrence (HR = 2.35). CRC-related death was associated with age in recurrence-free patients, and with comorbidity after recurrence. As expected, age≥75 years was a risk factor for non-CRC-related death with (HR = 7.76) or without recurrence (HR = 4.26), while its effect on recurrence risk was not demonstrated. MSM allows detailed analysis of recurrence and mortality in CRC. Recurrence has a negative impact on prognosis. Advanced stage was a determining factor for recurrence and CRC-death after recurrence.