12 research outputs found

    Cancers of unknown primary diagnosed during hospitalization: a population-based study

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    Background: Cancers of Unknown Primary (CUP) are the 3-4th most common causes of cancer death and recent clinical guidelines recommend that patients should be directed to a team dedicated to their care. Our aim was to inform the care of patients diagnosed with CUP during hospital admission. Methods: Descriptive study using hospital admissions (Scottish Morbidity Record 01) linked to cancer registrations (ICD-10 C77-80) and death records from 1998 to 2011 in West of Scotland, UK (population 2.4 m). Cox proportional hazards models were used to assess effects of baseline variables on survival. Results: Seven thousand five hundred ninety nine patients were diagnosed with CUP over the study period, 54.4% female, 67.4% aged ≥ 70 years, 36.7% from the most deprived socio-economic quintile. 71% of all diagnoses were made during a hospital admission, among which 88.6% were emergency presentations and the majority (56.3%) were admitted to general medicine. Median length of stay was 15 days and median survival after admission 33 days. Non-specific morphology, emergency admission, age over 60 years, male sex and admission to geriatric medicine were all associated with poorer survival in adjusted analysis. Conclusions: Patients with a diagnosis of CUP are usually diagnosed during unplanned hospital admissions and have very poor survival. To ensure that patients with CUP are quickly identified and directed to optimal care, increased surveillance and rapid referral pathways will be required

    Predicting sleep disordered breathing in outpatients with suspected OSA

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    Objective To validate the utilities of Berlin, STOP and STOP-BANG Questionnaires, other patient characteristics, comorbidities, Epworth Sleepiness Scale (ESS), fractional exhaled nitric oxide (FENO) and blood markers for the prediction of sleep disordered breathing (SDB) on limited polygraphy. Setting North Glasgow Sleep Service (a tertiary referral centre). Participants 129 consecutive patients, aged ≥16 years, referred to the sleep clinic for assessment of possible obstructive sleep apnoea. Interventions We selected cut-points of apnoea hypopnoea index (AHI) of ≥5 and ≥15/h from their home polygraphy and determined associations of these with individual symptoms, questionnaire scores and other results. Receiver operating characteristic analysis and univariate and multivariate logistic regression were used to explore these. Primary and secondary outcomes measures Primary: The utility of STOP, STOP-BANG and Berlin Questionnaires for prediction of SDB. Secondary: The utility of other measures for prediction of SDB. Results AHI was ≥5 in 97 patients and ≥15 in 56 patients. STOP and STOP-BANG scores were associated with both AHI cut-points but results with ESS and Berlin Questionnaire scores were negative. STOP-BANG had a negative predictive value 1.00 (0.77–1.00) for an AHI ≥15 with a score ≥3 predicting AHI ≥5 with sensitivity 0.93 (95% CI 0.84 to 0.98) and accuracy 79%, while a score ≥6 predicted AHI ≥15 with specificity 0.78 (0.65 to 0.88) and accuracy 72%. Neck circumference ≥17 inch and presence of witnessed apnoeas were independent predictors of SDB. Conclusions STOP and STOP-BANG Questionnaires have utility for the prediction of SDB in the sleep clinic population. Modification of the STOP-BANG Questionnaire merits further study in this and other patient groups.</p

    Public Attitudes and Environmental Justice in Scotland: Research Findings

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    The study investigates people's perceptions of, and priorities amongst, local environmental problems and how these impact on health and quality of life. It will contribute to the evidence base for the Executive's work on environmental justice

    Evaluation of the first phase of a specialist weight management programme in the UK National Health Service: prospective cohort study

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    Abstract Objective: To evaluate the first phase of a specialist weight management programme provided entirely within the UK National Health Service. Design: Prospective cohort study using multiple logistic regression analysis to report odds of $5 kg weight loss in all referrals and completers, and odds of completion, with 95 % confidence intervals. Anxiety and depression &apos;caseness&apos; were measured by the Hospital Anxiety and Depression Scale. Conclusions: Further improvements in overall effectiveness might be achieved through targeting improvements in appropriateness of referrals, retention and effective interventions at specific populations of patients. Keywords Obesity Overweight Secondary prevention The prevalence of excess weight and obesity is increasing in the UK and is a major cause of morbidity and mortality from cardiovascular and respiratory diseases, non-insulin dependent diabetes, musculoskeletal disorders and many cancer

    Public Attitudes and Environmental Justice in Scotland: Research Findings

    No full text
    The study investigates people's perceptions of, and priorities amongst, local environmental problems and how these impact on health and quality of life. It will contribute to the evidence base for the Executive's work on environmental justice

    Evidence-based infection control planning based on national healthcare-associated infection prevalence data

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    This study identifies factors associated with a high prevalence of healthcare‐associated infection (HAI) in the Scottish inpatient population, on the basis of the Scotland National HAI Prevalence Survey data set. The multivariate models developed can be used to predict HAI prevalence in specific patient groups to help with planning and policy in infection control
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