25 research outputs found

    Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

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    Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

    Multidimensional Pruritus Assessment In Hemodialysis Patients

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    Background Pruritus is a distressing, life-limiting symptom in chronic renal failure, affecting 40% of patients. This study aimed to determine uremic pruritus prevalence and investigate the multidimensional impact on hemodialysis patients. Methods This descriptive study was performed between March and June 2016. The study included 181 patients undergoing hemodialysis session, who reported pruritus in the prior month. Data were collected using the 5-D Itch Scale, which assesses pruritus based on 5 dimensions, i.e., degree, duration, direction, disability, and distribution, with a total score ranging from 5 (no itching) to 25 (maximum severity). Results Pruritus prevalence was 49.3%. Patients had a mean score of 13.97 ± 4.11 (moderate severity). The daily duration was 6–12 h (40.3%), with direction “a little bit better but still present” (38.7%) and distribution on the “back, upper arms, chest, and abdomen.” Patients sleep, social life/leisure time, housework and errand were impacted “occasionally”. The score was higher in patients aged ≄65 years, those on hemodialysis for ≄15 or more years, and those undergoing afternoon hemodialysis. The duration of itching was significantly shorter in employed patients. Conclusion Assessment and management of itching symptoms in chronic renal failure are a clinical priority both for patients and for health care professionals. The results of this study highlight the importance of multidimensional assessment and support the need for development of standardized and patient-specific symptom management.PubMedWoSScopu
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