Background Acute Kidney Injury (AKI) is associated with adverse outcomes; identifying patients who are at risk of developing AKI in hospital may lead to targeted prevention. This approach is advocated in national guidelines but is not well studied in acutely unwell medical patients. We therefore aimed to undertake a UK-wide study in acute medical units (AMUs) with the following aims: to define the proportion of acutely unwell medical patients who develop hospital-acquired AKI (hAKI); to determine risk factors associated with the development of hAKI; and to assess the feasibility of using these risk factors to develop an AKI risk prediction score. Methods In September 2016, a prospective multicentre cohort study across 72 UK AMUs was undertaken. Data were collected from all patients who presented over a 24-hour period. Chronic dialysis, community-acquired AKI (cAKI) and those with fewer than two creatinine measurements were subsequently excluded. The primary outcome was the development of h-AKI. Results 2,446 individuals were admitted to the AMUs of the 72 participating centres. 384 patients (16%) sustained AKI of whom 287 (75%) were cAKI and 97 (25%) were hAKI. After exclusions, 1,235 participants remained in whom chronic kidney disease (OR 3.08, 95% CI 1.96-4.83), diuretic prescription (OR 2.33, 95% CI 1.5-3.65), a lower haemoglobin concentration and an elevated serum bilirubin were independently associated with development of hAKI. Multivariable model discrimination was moderate (c-statistic 0.75), and this did not support the development of a robust clinical risk prediction score. Mortality was higher in those with hAKI (adjusted OR 5.22; 95% CI 2.23-12.20). Conclusion AKI in AMUs is common and associated with worse outcomes, with the majority of cases community acquired. The smaller proportion of hAKI cases, only moderate discrimination of prognostic risk factor modelling and the resource implications of widespread application of an AKI clinical risk score across all AMU admissions suggests that this approach is not currently justified. More targeted risk assessment or automated methods of calculating individual risk may be more appropriate alternatives.
Introduction and ObjectivesLittle is known about the 24-hour profile of COPD symptoms. This study assessed the frequency/ severity of 24-hour symptoms and their impact on patients' wellbeing. Methods This cross-sectional, observational study was conducted in patients with stable COPD. Baseline night-time, earlymorning and day-time symptoms (symptom questionnaire), dyspnoea (modified Medical Research Council dyspnoea scale [mMRC]), health status (COPD Assessment Test [CAT]), anxiety/ depression levels (Hospital Anxiety and Depression Scale [HADS]) and sleep quality (COPD and Asthma Sleep Impact Scale [CASIS]) were assessed. Primary endpoint: baseline frequency, severity and inter-relationship of night-time, early-morning and day-time symptoms; secondary endpoints: relationship between 24-hour symptoms and dyspnoea, health status, anxiety/ depression and sleep quality. Results 727 patients were recruited from eight countries: 65.8% male, mean ± SD age 67.2 ± 8.8 years, mean ± SD% predicted
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