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Multi‐disciplinary diabetic limb salvage programme in octogenarians with diabetic foot ulcers is not futile: An observational study with historical controls

Abstract

This study evaluated the effectiveness of a multi-disciplinary diabetic limb salvage programme in improving clinical outcomes and optimising healthcare utilisation in 406 patients aged ≥80 years with diabetic foot ulcers (DFUs), compared to 2392 younger patients enrolled from June 2020 to June 2021 and against 1716 historical controls using one-to-one propensity score matching. Results showed that elderly programme patients had lower odds of amputation-free survival (odds ratio: 0.64, 95% CI: 0.47, 0.88) and shorter cumulative length of stay (LOS) compared to younger programme patients (incidence rate ratio: 0.45, 95% CI: 0.29, 0.69). Compared to the matched controls, participating in the programme was associated with 5% higher probability of minor lower extremity amputation, reduced inpatient admissions and emergency visits, shorter LOS but increased specialist and primary care visits (all p-values <0.05). The findings suggest that the programme yielded favourable impacts on the clinical outcomes of patients aged≥80 years with DFUs. Further research is needed to develop specific interventions tailoring to the needs of the elderly population and to determine their effectiveness on patient outcomes while accounting for potential confounding factors.

Radiographers’ perceptions on the quality of managing general radiographic paediatric examinations through the use of a reflective tool

by Kate Caruana, Chris Hayre, Chandra Makanjee

Introduction

Paediatric patients are a vulnerable population that require additional care by healthcare professionals. Quality managing these examinations ensures that effective and quality care is provided to individual patients, whilst encouraging consistency within the medical imaging department. This study explored radiographers’ perspectives on quality management strategies of general radiographic paediatric examinations using a paediatric imaging reflective checklist.

Methods

A quantitative descriptive research design with qualitative questions was used through a purposive sampling method from both public and private Australian diagnostic imaging qualified radiographers who had experience in paediatric imaging examinations. The paediatric imaging service reflective tool consisted of 65 items in total. Data analysis entailed Microsoft Excel version 16.16.6 and Jamovi version 2.3.21 for the closed-ended questions and for the open-ended responses a thematic analysis.

Results

The participation rate was 13.2% and the most significant findings were: lead shielding was still being used at their organisation, despite recent recommendations to suspend its use; access to paediatric patient related information resources is limited; there was no involvement of families and communities regarding policy development or quality improvement measures as advocated in literature; and there was a need for enhanced specialised paediatric education, training and protocols.

Conclusion

Using the paediatric patient-centred imaging reflective checklist, radiographers had an opportunity to identify quality improvement indicators as well as issues that could further enhance best practice principles. Further studies could inform on the validity of this reflective tool.

Association of antecedent statin use on 30-day, 60-day and 90-day mortality among Mississippi Medicaid beneficiaries diagnosed with COVID-19

Por: Rong · Y. · Goswami · S. · Eriakha · O. · Ramachandran · S. · Bentley · J. · Banahan · B. F. · Kirby · T. · Smith · D. · Pittman · E. · Bhattacharya · K.
Objective

To assess if the antecedent statin use was associated with all-cause death among COVID-19 patients enrolled in Medicaid.

Design

Cohort study.

Setting

Mississippi Medicaid population.

Participants

This study included 10 792 Mississippi Medicaid-enrolled patients between 18 and 64 years of age with a confirmed COVID-19 diagnosis from March 2020 to June 2021.

Intervention

Antecedent statin use, which was determined by a record of statin prescription in the 90-day period prior to the COVID diagnosis.

Main outcome measures

The outcomes of interest included mortality from all cause within 30 days, 60 days and 90 days after index.

Results

A total of 10 792 patients with COVID-19 met the inclusion and exclusion criteria, with 13.1% of them being antecedent statin users. Statin users were matched 1:1 with non-users based on age, sex, race, comorbidities and medication use by propensity score matching. In total, the matched cohort consisted of 1107 beneficiaries in each group. Multivariable logistic regression showed that statin users were less likely to die within 30 days (adjusted OR: 0.51, 95% CI: 0.32 to 0.83), 60 days (OR: 0.56, 95% CI: 0.37 to 0.85) and 90 days (OR: 0.55, 95% CI: 0.37 to 0.82) after diagnosis of COVID-19. Those with low-intensity/moderate-intensity statin use had significantly lower mortality risk in the 60-day and the 90-day follow-up period, while the high intensity of statin use was only found to be significantly associated with a lower odd of mortality within 30 days post index.

Conclusion

After COVID infection, Medicaid beneficiaries who had taken statins antecedently could be at lower risk for death. For patients with chronic conditions, continuity of care is crucial when interruptions occur in their medical care. Further research is required to further investigate the potential mechanisms and optimal use of statins in COVID-19 treatment.

What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Development and validation of a survey for use in a secondary car

Por: Willis · K. · Chaudhry · U. A. R. · Chandrasekaran · L. · Wahlich · C. · Olvera-Barrios · A. · Chambers · R. · Bolter · L. · Anderson · J. · Barman · S. A. · Fajtl · J. · Welikala · R. · Egan · C. · Tufail · A. · Owen · C. G. · Rudnicka · A. · On behalf of the ARIAS Research Group · S
Introduction

The English National Health Service (NHS) Diabetic Eye Screening Programme (DESP) performs around 2.3 million eye screening appointments annually, generating approximately 13 million retinal images that are graded by humans for the presence or severity of diabetic retinopathy. Previous research has shown that automated retinal image analysis systems, including artificial intelligence (AI), can identify images with no disease from those with diabetic retinopathy as safely and effectively as human graders, and could significantly reduce the workload for human graders. Some algorithms can also determine the level of severity of the retinopathy with similar performance to humans. There is a need to examine perceptions and concerns surrounding AI-assisted eye-screening among people living with diabetes and NHS staff, if AI was to be introduced into the DESP, to identify factors that may influence acceptance of this technology.

Methods and analysis

People living with diabetes and staff from the North East London (NEL) NHS DESP were invited to participate in two respective focus groups to codesign two online surveys exploring their perceptions and concerns around the potential introduction of AI-assisted screening.

Focus group participants were representative of the local population in terms of ages and ethnicity. Participants’ feedback was taken into consideration to update surveys which were circulated for further feedback. Surveys will be piloted at the NEL DESP and followed by semistructured interviews to assess accessibility, usability and to validate the surveys.

Validated surveys will be distributed by other NHS DESP sites, and also via patient groups on social media, relevant charities and the British Association of Retinal Screeners. Post-survey evaluative interviews will be undertaken among those who consent to participate in further research.

Ethics and dissemination

Ethical approval has been obtained by the NHS Research Ethics Committee (IRAS ID: 316631). Survey results will be shared and discussed with focus groups to facilitate preparation of findings for publication and to inform codesign of outreach activities to address concerns and perceptions identified.

Neonatal outcomes and its association among gestational diabetes mellitus with and without depression, anxiety and stress symptoms in Malaysia: A cross-sectional study

Prevalence of depression, anxiety and stress symptoms in gestational diabetes mellitus ranges from 10.2% to 39.9% based on previous studies in Malaysia. Presence of depression, anxiety or stress in pregnancy may increase the risk of neonatal morbidity and mortality. The aim of this study was to determine the prevalence of neonatal outcomes and its association among mothers with gestational diabetes mellitus with and without the presence of depression, anxiety and stress symptoms in Malaysia.
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