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1.
Clin Kidney J ; 16(7): 1081-1091, 2023 Jul.
Article in English | MEDLINE | ID: mdl-37398697

ABSTRACT

The relationship between socioeconomic deprivation and health is inequitable. Chronic kidney disease (CKD) is an archetypal disease of inequality, being more common amongst those living in deprivation. The prevalence of CKD is rising driven by an increase in lifestyle-related conditions. This narrative review describes deprivation and its association with adverse outcomes in adults with non-dialysis-dependent CKD including disease progression, end-stage kidney disease, cardiovascular disease and all-cause mortality. We explore the social determinants of health and individual lifestyle factors to address whether patients with CKD who are socioeconomically deprived have poorer outcomes than those of higher socioeconomic status. We describe whether observed differences in outcomes are associated with income, employment, educational attainment, health literacy, access to healthcare, housing, air pollution, cigarette smoking, alcohol use or aerobic exercise. The impact of socioeconomic deprivation in adults with non-dialysis-dependent CKD is complex, multi-faceted and frequently under-explored within the literature. There is evidence that patients with CKD who are socioeconomically deprived have faster disease progression, higher risk of cardiovascular disease and premature mortality. This appears to be the result of both socioeconomic and individual lifestyle factors. However, there is a paucity of studies and methodological limitations. Extrapolation of findings to different societies and healthcare systems is challenging, however, the disproportionate effect of deprivation in patients with CKD necessitates a call to action. Further empirical study is warranted to establish the true cost of deprivation in CKD to patients and societies.

2.
Cureus ; 14(10): e30719, 2022 Oct.
Article in English | MEDLINE | ID: mdl-36439618

ABSTRACT

Introduction The D-dimer is a common test in the assessment of chest pain in acute settings. With a high sensitivity and low specificity, a significant number of false positive outcomes occur, leading to unnecessary medical intervention. There is good evidence supporting the use of an age-adjusted D-dimer model to increase diagnostic specificity in the context of a conventional "D-dimer" assay. There is, however, a lack of evidence validating the age adjustment process when considering the less common but still widely utilized "instrumentation lab" assay. Methods A retrospective audit was carried out in a district general hospital by obtaining all acute computed tomography pulmonary angiograms carried out between December 2020 and August 2021. The age-adjusted D-dimer was calculated for each patient by multiplying the patient's age by 5. Thereafter, sensitivity and specificity were reassessed. Results After exclusion, 133 patients under 50 years of age with low pre-test probability scores were included in the analysis. Age-adjusted D-dimer was found to increase specificity from 2% to 28% whilst maintaining a sensitivity of 94%. Conclusion Utilization of the 5x age-adjusted instrumentation lab assay D-dimer results in increased specificity with the potential to reduce the number of unnecessary admissions, radiation exposure, and medication use, improving patient safety and reducing healthcare burden.

3.
PLoS Med ; 17(10): e1003290, 2020 10.
Article in English | MEDLINE | ID: mdl-33048945

ABSTRACT

BACKGROUND: Neurodevelopmental conditions commonly coexist in children, but compared to adults, childhood multimorbidity attracts less attention in research and clinical practice. We previously reported that children treated for attention deficit hyperactivity disorder (ADHD) and depression have more school absences and exclusions, additional support needs, poorer attainment, and increased unemployment. They are also more likely to have coexisting conditions, including autism and intellectual disability. We investigated prevalence of neurodevelopmental multimorbidity (≥2 conditions) among Scottish schoolchildren and their educational outcomes compared to peers. METHODS AND FINDINGS: We retrospectively linked 6 Scotland-wide databases to analyse 766,244 children (390,290 [50.9%] boys; 375,954 [49.1%] girls) aged 4 to 19 years (mean = 10.9) attending Scottish schools between 2009 and 2013. Children were distributed across all deprivation quintiles (most to least deprived: 22.7%, 20.1%, 19.3%, 19.5%, 18.4%). The majority (96.2%) were white ethnicity. We ascertained autism spectrum disorder (ASD) and intellectual disabilities from records of additional support needs and ADHD and depression through relevant encashed prescriptions. We identified neurodevelopmental multimorbidity (≥2 of these conditions) in 4,789 (0.6%) children, with ASD and intellectual disability the most common combination. On adjusting for sociodemographic (sex, age, ethnicity, deprivation) and maternity (maternal age, maternal smoking, sex-gestation-specific birth weight centile, gestational age, 5-minute Apgar score, mode of delivery, parity) factors, multimorbidity was associated with increased school absenteeism and exclusion, unemployment, and poorer exam attainment. Significant dose relationships were evident between number of conditions (0, 1, ≥2) and the last 3 outcomes. Compared to children with no conditions, children with 1 condition, and children with 2 or more conditions, had more absenteeism (1 condition adjusted incidence rate ratio [IRR] 1.28, 95% CI 1.27-1.30, p < 0.001 and 2 or more conditions adjusted IRR 1.23, 95% CI 1.20-1.28, p < 0.001), greater exclusion (adjusted IRR 2.37, 95% CI 2.25-2.48, p < 0.001 and adjusted IRR 3.04, 95% CI 2.74-3.38, p < 0.001), poorer attainment (adjusted odds ratio [OR] 3.92, 95% CI 3.63-4.23, p < 0.001 and adjusted OR 12.07, 95% CI 9.15-15.94, p < 0.001), and increased unemployment (adjusted OR 1.57, 95% CI 1.49-1.66, p < 0.001 and adjusted OR 2.11, 95% CI 1.83-2.45, p < 0.001). Associations remained after further adjustment for comorbid physical conditions and additional support needs. Coexisting depression was the strongest driver of absenteeism and coexisting ADHD the strongest driver of exclusion. Absence of formal primary care diagnoses was a limitation since ascertaining depression and ADHD from prescriptions omitted affected children receiving alternative or no treatment and some antidepressants can be prescribed for other indications. CONCLUSIONS: Structuring clinical practice and training around single conditions may disadvantage children with neurodevelopmental multimorbidity, who we observed had significantly poorer educational outcomes compared to children with 1 condition and no conditions.


Subject(s)
Educational Status , Multimorbidity/trends , Neurodevelopmental Disorders/epidemiology , Absenteeism , Adolescent , Attention Deficit Disorder with Hyperactivity/epidemiology , Autism Spectrum Disorder/epidemiology , Child , Child, Preschool , Cohort Studies , Databases, Factual , Depression/epidemiology , Female , Gestational Age , Hospitalization , Humans , Incidence , Male , Odds Ratio , Prevalence , Retrospective Studies , Schools , Scotland/epidemiology , Young Adult
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