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1.
Diabetes Obes Metab ; 2024 Aug 19.
Article in English | MEDLINE | ID: mdl-39159938

ABSTRACT

AIMS: To estimate healthcare resource utilization (HCRU) and healthcare costs by body mass index (BMI) in a UK cohort and to explore how this varied by defined BMI strata. MATERIALS AND METHODS: This retrospective open cohort study used Discover, a linked primary and secondary electronic health records database covering 2.7 million individuals. Adults were stratified by BMI as: overweight (25-<30 kg/m2); obesity class I (30-<35 kg/m2); obesity class II (35-<40 kg/m2); or obesity class III (≥40 kg/m2). Cost data, comprising primary care, secondary care (inpatient admissions, outpatient appointments and emergency room visits) and prescriptions, were reported for 2015-2019. RESULTS: Overall, 1 008 101 individuals were overweight, 278 782 had obesity class I; 80 621 had obesity class II, and 42 642 had obesity class III. Healthcare costs and HCRU events per person per year increased over time (2015: £851-£1321 and 10.6-13.4 events; 2019: £1143-£1871 and 11.4-14.9 events), and were higher for each successive BMI group. Groups with chronic kidney disease or cardiovascular disease incurred particularly high costs. In 270 493 individuals with obesity in 2019, more than 72% of total healthcare costs were incurred by the highest cost quintile, which had a higher mean age and more obesity-related complications (ORCs) than lower cost quintiles. CONCLUSIONS: The economic impact of obesity could be alleviated by weight management support based on unmet need, to limit the effects of BMI progression and ORC development.

2.
Diabetes Obes Metab ; 2024 Aug 19.
Article in English | MEDLINE | ID: mdl-39159940

ABSTRACT

AIM: To assess the prevalence of individual obesity-related complications (ORCs) and multimorbidity (≥ 1, ≥ 2 and ≥ 3 ORCs), and multimorbidity-associated healthcare costs, over 10 years. METHODS: This retrospective open cohort study used Discover, a UK database of linked primary and secondary electronic health records. Adults were stratified by body mass index (BMI; overweight: 25-< 30 kg/m2; obesity class I: 30-< 35 kg/m2; obesity class II: 35-< 40 kg/m2; obesity class III: ≥ 40 kg/m2). Outcomes by year since baseline were assessed for serial cross sections across the study period (1 January 2004 to 31 December 2019; the index date was the date of first eligible BMI measurement). RESULTS: Across 1 410 146 individuals (overweight: 1 008 101; obesity class I: 278 782; obesity class II: 80 621; obesity class III: 42 642), ORC prevalence was higher in successive BMI groups, and increases over time were generally greater for obesity relative to overweight. In those with ORC multimorbidity, both higher BMI and the presence of more ORCs were associated with higher annual per-person healthcare costs. Costs increased over time in those individuals with obesity and one or more ORC, as well as in those with obesity and two or more ORCs. CONCLUSIONS: Higher BMI was associated with higher baseline ORC prevalence and a greater increase in ORC prevalence over time, and with higher healthcare costs in those with multimorbidity. To reduce the burden of overweight and obesity on patients and healthcare systems, the presence, number and type of ORCs should be considered in developing effective, targeted prevention and management care pathways.

3.
EClinicalMedicine ; 52: 101584, 2022 Oct.
Article in English | MEDLINE | ID: mdl-35942273

ABSTRACT

Background: The prevalence of type 2 diabetes (T2DM) is increasing, but increasing longevity among persons with diagnosed diabetes may be is associated with more extensive and diverse types of morbidity. The extent and breadth of morbidity and how this varies across sub-groups is unclear and could have important clinical and public health implications. We aimed to estimate comorbidity profiles in people with T2DM and variations across sub-groups and over time. Methods: We identified approximately 224,000 people with T2DM in the Discover-NOW dataset, a real-world primary care database from 2000 to 2020 covering 2.5 million people across North-West London, England, linked to hospital records. We generated a mixed prevalence and incidence study population through repeated annual cross sections, and included a broad set of 35 comorbidities covering traditional T2DM conditions, emerging T2DM conditions and other common conditions.We estimated annual age-standardised prevalence of comorbidities, over the course of the disease in people with T2DM and several sub-groups. Findings: Multimorbidity (two or more chronic conditions) is common in people with T2DM and increasing, but the comorbidity profiles of people with T2DM vary substantially. Nearly 30% of T2DM patients had three or more comorbidities at diagnosis, increasing to 60% of patients ten years later. Two of the five commonest comorbidities at diagnosis were traditional T2DM conditions (hypertension (37%) and ischaemic heart disease (10%)) the other three were not (depression (15%), back pain (25%) and osteoarthritis (11%)). The prevalence of each increased during the course of the disease, with more than one in three patients having back pain and one in four having depression ten years post diagnosis.People with five or more comorbidities at diagnosis had higher prevalence of each of the 35 comorbidities. Hypertension (73%) was the commonest comorbidity at diagnosis in this group; followed by back pain (69%), depression (67%), asthma (45%) and osteoarthritis (36%). People with obesity at diagnosis had substantially different comorbidity profiles to those without, and the five commonest comorbidities were 50% more common in this group. Interpretation: Preventative and clinical interventions alongside care pathways for people with T2DM should transition to reflect the diverse set of causes driving persistent morbidity. This would benefit both patients and healthcare systems alike. Funding: The study was funded by the National Institute for Health and Care Excellence (NICE).

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