RESUMEN
Aims: To develop a structured goal-set for use in programs for the assessment and management of prolonged disorders of consciousness (PDOC).Methods: A retrospective analysis of goals from a consecutive cohort of patients (n = 162) admitted to a specialist in-patient PDOC program in the UK from 2007 to 2018. Overall goal attainment was examined with Goal Attainment Scaling (GAS) using the GAS-Light method. Rates of individual goal-setting and achievement were examined for both standardized objectives (n = 2959) and personalized goals (n = 661). Goal statements from the personalized goals were independently reviewed and mapped to the domains of the existing structured objective set to identify any missing goal areas.Results: Mean outcome GAS T-scores were 47.2 (95% CI: 46.7, 47.6) and 47.7 (95% CI: 46.7, 48.8), respectively, for the standardized and personally set goals. These were closely correlated (r = 0.482, p < .001) with no significant difference between them. Analysis of goal achievement within each domain identified goals that were/were not likely to be achieved. An initial structured set of 20 standardized objectives in 12 domains was expanded and re-organized to produce a final-structured goal-set of 36 objectives in 18 domains.Conclusions: Developed through real-life clinical practice, this first published structured goal-set for PDOC programs now requires testing in other services/settings.
Asunto(s)
Estado de Conciencia , Objetivos , Estudios de Cohortes , Humanos , Estudios RetrospectivosRESUMEN
Invasive pneumococcal pneumonia is associated with high rates of mortality. Clinical assessment tools have poor sensitivity for predicting clinical outcomes. Molecular measurements of bacterial load correlate closely with clinical outcome but require specialist facilities and expertise. This study describes how routine blood culture testing can estimate bacterial load and predict clinical outcome for invasive pneumococcal pneumonia. Between December 2009 to March 2014, clinical and laboratory data were collected for 50 patients with Streptococcus pneumoniae bacteraemia secondary to community-acquired pneumonia. Fluorescence rates (FR) were calculated from growth curves generated by BACTEC blood culture analysers by dividing change in fluorescence units (FU), measured at the first point of detectable fluorescence and at the point of automated BACTEC positivity, by time in hours. The mean age of the patients was 70.6 years (49.6-86.3). Forty patients survived invasive pneumococcal disease and ten patients died. These two groups did not significantly differ by demographic or clinical characteristics. The mean FR for the non-survival group (3.62 × 10(-3) FU/h) was significantly higher (p < 0.001) than that of the survival group (1.73 × 10(-3) FU/h). FR did not vary by serotype. We determined that an FR of 2.59 × 10(-3) FU/h might represent a useful threshold for predicting high mortality risk with a sensitivity of 91 % and a specificity of 97 %. Our FR calculation uses cheap and accessible routine blood culture techniques to predict mortality in a small retrospective cohort study. In patients admitted to hospital with pneumococcal bacteraemia and, potentially, other organisms, this single tool could guide early escalation of clinical care.