Background: Hospital-acquired pressure ulcers (HAPUs) are prevalent around the world and are an indicator of care quality. Numerous instruments are available to predict their appearance, but few evaluate predictive validity. No instruments based on Nursing Outcomes Classification indicators have been found, despite these indicators reflecting the patient's condition. The aim of the study was to analyse the predictive validity of the INTEGRARE scale in preventing the risk of HAPUs.
Methods: A multicentre prospective observational cohort study design was used. 1,004 patients from 11 public hospitals in Andalusia (Spain) were recruited between February 2015 and October 2017. Participants were aged over 18 and had been admitted to medical and surgical units, with a predicted stay exceeding 48 h. Predictive validity was checked using a multivariate logistic regression model and a receiver operating characteristic curve, with development of pressure ulcers during the hospital stay as the dependent variable.
Results: The INTEGRARE scale obtained an area under the curve of 0.886 (95% CI = 0.85-0.923). Within the 30-point range, the optimal cut-off value is 23 points with a sensitivity of 80.8% and a specificity of 80%. The odds ratio was 16.86 (95% CI = 8.54-33.28). Among the patient variables, age was significant, while among the hospital variables, the type of unit and the Nurse Staffing Level (NSL) were significant.
Conclusions: The INTEGRARE scale has robust predictive validity when patients are admitted to medical and surgical inpatient units. Patients with a higher risk of developing HAPUs are in surgical units, are elderly, and have an NSL exceeding 10.4.
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http://dx.doi.org/10.1016/j.jtv.2022.01.001 | DOI Listing |
JAMA Cardiol
January 2025
National Heart and Lung Institute, Imperial College London, United Kingdom.
Importance: Hypertension underpins significant global morbidity and mortality. Early lifestyle intervention and treatment are effective in reducing adverse outcomes. Artificial intelligence-enhanced electrocardiography (AI-ECG) has been shown to identify a broad spectrum of subclinical disease and may be useful for predicting incident hypertension.
View Article and Find Full Text PDFInt J Legal Med
January 2025
University Department of Forensic Sciences, University of Split, R. Boškovića 33, Split, 21000, Croatia.
This study aimed to test age-related changes in sternal fusion and sternal-rib cartilage ossification on multi-slice computed tomography (MSCT) images of the Croatian population. The additional aim was to develop models to estimate age and provide an interface for the model's application and validation. This retrospective study was conducted on 144 MSCT images of the sternal region, and the developed models were tested on 36 MSCT images.
View Article and Find Full Text PDFJ Clin Microbiol
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National Cancer Institute, Rockville, Maryland, USA.
Unlabelled: Human papillomavirus (HPV) genotype predicts cervical cancer risk, and genotyping could help guide the management of HPV positives as part of cervical screening. An isothermal amplification HPV extended genotyping test (ScreenFire HPV RS assay) can assay up to 96 samples/controls in 1 hour plus preparation time. A novel format with pre-aliquoted reagents and an anti-contamination component (Zebra BioDome) could simplify the HPV testing process and reduce the chances of post-amplification contamination.
View Article and Find Full Text PDFJ Clin Microbiol
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Laboratory of Clinical Microbiology, KU Leuven, Department of Microbiology, Immunology and Transplantation, Leuven, Flanders, Belgium.
Determination of antimicrobial resistance (AMR) in pneumococcal isolates is important for surveillance purposes and in a clinical context. Antimicrobial susceptibility testing (AST) of pneumococci is complicated by the need for exact minimal inhibitory concentrations (MICs) of beta-lactam antibiotics. Two next-generation sequencing (NGS) analysis tools have implemented the prediction of AMR in their analysis workflow, including the prediction of MICs: Pathogenwatch (https://pathogen.
View Article and Find Full Text PDFJ Clin Sleep Med
January 2025
Division of Pulmonary, Critical Care, and Sleep Medicine, UC San Diego, San Diego, CA.
Continuous positive airway pressure (CPAP) is the treatment of choice for obstructive sleep apnea (OSA); however some people have residual respiratory events or require significantly higher CPAP pressure while on therapy. Our objective was to develop predictive models for CPAP outcomes and assess whether the inclusion of physiological traits enhances prediction. We constructed predictive models from baseline information for subsequent residual apnea-hypopnea index (AHI) and optimal CPAP pressure.
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