Clara Sanz Nogués

Dr. Clara Sanz Nogués


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 January 2020 in Healthcare
Verified
Journal Article
Open access
PDF file
CNClara Sanz Nogués
Clara Sanz Nogués
MMmohamad mustafa
mohamad mustafa
HBHelen Burke
Helen Burke
TOTimothy O’Brien
Timothy O’Brien
CCCynthia Coleman
Cynthia Coleman
The purpose of this study was to investigate the knowledge, perceptions and concerns of individuals living with diabetes mellitus regarding the disorder and its associated long-term health complications. Individuals living with type 1 (N = 110) and type 2 (N = 100) diabetes were surveyed at the Diabetes Centre at University Hospital Galway (Ireland). A questionnaire was used to record respondent’s perceptions and concerns about living with diabetes and developing associated long-term health complications, especially diabetes-induced osteopathy. Participants’ responses revealed a variety of perspectives. Individuals with type 1 diabetes had a deeper understanding of the aetiology of diabetes and were more concerned about its complications than individuals with type 2 diabetes. The most recognized complications identified by the participants were retinopathy (92% type 1; 83% type 2), amputations (80% type 1; 70% type 2) and nephropathy (83% type 1; 63% type 2). Diabetes-related osteopathy was under-recognized, with 37% (type 1) and 23% (type 2) of respondents identifying bone fractures as a diabetes-related complication. Enhancing the patient awareness of this under-recognized diabetes-associated complication and ensuring that preventative measures are incorporated within health care programmes may offer methodologies to address this complication clinically.

3 October 2022 in Research Square
Verified
Preprint
Open access
PDF file
CNClara Sanz Nogués
Clara Sanz Nogués
MCMichael Creane
Michael Creane
SHSean O. Hynes
Sean O. Hynes
XCXizhe Chen
Xizhe Chen
TOTimothy O’brien
Timothy O’brien
Skeletal muscle is one of the most abundant and dynamic tissues of the body, with a strong regenerative capacity. Muscle injuries can occur as a result of a variety of events, including tissue ischaemia. Lower limb ischaemia occurs when there is an insufficient nutrient and oxygen supply, often caused by stenosis of the arteries due to atherosclerosis. The aim of this study was to develop and validate a multiparametric scoring tool for assessing ischaemia severity in skeletal muscle in a commonly used pre-clinical animal model. Tissue ischaemia was surgically induced in mice by ligation and excision of the femoral artery. Calf muscles were carefully dissected, prepared for histological analysis and scored for inflammation, fibrosis, necrosis, adipocyte infiltration and muscle fibre degeneration/regeneration. Kendall’s coefficient of concordance (W) showed a very good agreement between the appraisers when scoring each individual histological feature: inflammation (W = 0.92 p-value 0.000), fibrosis (W = 0.94 p-value 0.000), necrosis (W = 0.77 p-value 0.000), adipocyte infiltration (W = 0.91 p-value 0.000) and fibre degeneration/regeneration (W = 0.86 p-value 0.000). Intra-rater agreement was also excellent (W = 0.94 or more, p-value 0.000). There was a statistically significant negative direct association between the level of muscle ischaemia damage and the calf muscle weight. Here, we have developed and validated a new multiparametric, semi-quantitative scoring system for assessing skeletal muscle damage due to ischaemia, with excellent inter- and intra-rater reproducibility. This scoring system can be used for assessing treatment efficacy in pre-clinical models of hindlimb ischaemia.