Abstract
Objective To investigate the risks and trajectories of hospital admission for ambulatory care sensitive conditions (HACSCs) in gout.
Methods Among individuals aged 35-85 years residing in Skåne, Sweden, in 2005, those with no doctor-diagnosed gout during 1998–2005 (n=576,700) were followed from January 1st 2006 until an HACSC, death, relocation outside Skåne, or December 31st 2016. Treating a new gout diagnosis (ICD 10 code: M10) as a time-varying exposure, we used Cox proportional and additive hazard models to estimate the effects of gout on HACSCs. We investigated the trajectory of HACSCs from 3 years before to 3 years after gout diagnosis using generalized estimating equations and group-based trajectory modelling in an age- and sex-matched cohort study.
Results Gout was associated with 41% increased rate of HACSCs (hazard ratio 1.41; 95% CI: 1.35, 1.47), corresponding to 121 (104, 138) more HACSCs per 10,000 person-years compared with those without gout. Our trajectory analysis showed that higher rates of HACSCs among persons with gout were observed from 3 years before to 3 years after diagnosis with the highest prevalence rate ratio (2.22, 95% CI: 1.92, 2.53) at the 3-month period after diagnosis. We identified three classes with distinct trajectories of HACSCs among gout persons: almost none (88.5%), low-rising (9.7%), and moderate-sharply rising (1.8%). Charlson comorbidity index was the most important predictor of trajectory class membership.
Conclusion Increased risk of HACSCs in gout highlights the need for better management of the disease at outpatient care, especially among foreign-born older patients with comorbidities.
Methods Among individuals aged 35-85 years residing in Skåne, Sweden, in 2005, those with no doctor-diagnosed gout during 1998–2005 (n=576,700) were followed from January 1st 2006 until an HACSC, death, relocation outside Skåne, or December 31st 2016. Treating a new gout diagnosis (ICD 10 code: M10) as a time-varying exposure, we used Cox proportional and additive hazard models to estimate the effects of gout on HACSCs. We investigated the trajectory of HACSCs from 3 years before to 3 years after gout diagnosis using generalized estimating equations and group-based trajectory modelling in an age- and sex-matched cohort study.
Results Gout was associated with 41% increased rate of HACSCs (hazard ratio 1.41; 95% CI: 1.35, 1.47), corresponding to 121 (104, 138) more HACSCs per 10,000 person-years compared with those without gout. Our trajectory analysis showed that higher rates of HACSCs among persons with gout were observed from 3 years before to 3 years after diagnosis with the highest prevalence rate ratio (2.22, 95% CI: 1.92, 2.53) at the 3-month period after diagnosis. We identified three classes with distinct trajectories of HACSCs among gout persons: almost none (88.5%), low-rising (9.7%), and moderate-sharply rising (1.8%). Charlson comorbidity index was the most important predictor of trajectory class membership.
Conclusion Increased risk of HACSCs in gout highlights the need for better management of the disease at outpatient care, especially among foreign-born older patients with comorbidities.
| Original language | English |
|---|---|
| Article number | jrheum.220038 |
| Pages (from-to) | 731-739 |
| Number of pages | 9 |
| Journal | The Journal of rheumatology |
| Volume | 49 |
| Issue number | 7 |
| Early online date | 2022 |
| DOIs | |
| Publication status | Published - 2022 |
Subject classification (UKÄ)
- Public Health, Global Health, Social Medicine and Epidemiology
- Rheumatology and Autoimmunity
