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- Daelman, Bo, et al.
(författare)
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Frailty and cognitive function in middle-aged and older adults with congenital heart disease
- 2024
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Ingår i: Journal of the American College of Cardiology. - : Elsevier. - 0735-1097 .- 1558-3597. ; 83:12, s. 1149-1159
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Tidskriftsartikel (refereegranskat)abstract
- Background: Life expectancy of patients with congenital heart disease (CHD) has increased rapidly, resulting in a growing and aging population. Recent studies have shown that older people with CHD have higher morbidity, health care use, and mortality. To maintain longevity and quality of life, understanding their evolving medical and psychosocial challenges is essential.Objectives: The authors describe the frailty and cognitive profile of middle-aged and older adults with CHD to identify predictor variables and to explore the relationship with hospital admissions and outpatient visits.Methods: Using a cross-sectional, multicentric design, we included 814 patients aged ≥40 years from 11 countries. Frailty phenotype was determined using the Fried method. Cognitive function was assessed by the Montreal Cognitive Assessment.Results: In this sample, 52.3% of patients were assessed as robust, 41.9% as prefrail, and 5.8% as frail; 38.8% had cognitive dysfunction. Multinomial regression showed that frailty was associated with older age, female sex, higher physiologic class, and comorbidities. Counterintuitively, patients with mild heart defects were more likely than those with complex lesions to be prefrail. Patients from middle-income countries displayed more prefrailty than those from higher-income countries. Logistic regression demonstrated that cognitive dysfunction was related to older age, comorbidities, and lower country-level income.Conclusions: Approximately one-half of included patients were (pre-)frail, and more than one-third experienced cognitive impairment. Frailty and cognitive dysfunction were identified in patients with mild CHD, indicating that these concerns extend beyond severe CHD. Assessing frailty and cognition routinely could offer valuable insights into this aging population.
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| 2. |
- Skogby, Sandra, 1989, et al.
(författare)
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Outpatient volumes and medical staffing resources as predictors for continuity of follow-up care during transfer of adolescents with congenital heart disease
- 2020
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Ingår i: International Journal of Cardiology. - : Elsevier. - 0167-5273 .- 1874-1754. ; 310, s. 51-57
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Providing continuous follow-up care to patients with congenital heart disease (CHD) remains a challenge in many settings. Previous studies highlight that patients with CHD experience discontinuation of follow-up care, but mainly describe a single-centre perspective, neglecting inter-institutional variations. Hospital-related factors above and beyond patient-related factors are believed to affect continuity of care. The present multicentre study therefore investigated (i) proportion of "no follow-up care"; (ii) transfer destinations after leaving paediatric cardiology; (iii) variation in proportions of no follow-up between centres; (iv) the association between no follow-up and outpatient volumes, and (v) its relationship with staffing resources at outpatient clinics.METHODS: An observational, multicentre study was conducted in seven university hospitals. In total, 654 adolescents with CHD, born between 1991 and 1993, with paediatric outpatient visit at age 14-18 years were included. Transfer status was determined 5 years after the intended transfer to adult care (23y), based on medical files, self-reports and registries.RESULTS: Overall, 89.7% of patients were receiving adult follow-up care after transfer; 6.6% had no follow-up; and 3.7% were untraceable. Among patients in follow-up care, only one remained in paediatric care and the majority received specialist adult CHD care. Significant variability in proportions of no follow-up were identified across centres. Higher outpatient volumes at paediatric outpatient clinics were associated with better continued follow-up care after transfer (OR = 1.061; 95% CI = 1.001 - 1.124). Medical staffing resources were not found predictive.CONCLUSION: Our findings support the theory of hospital-related factors influencing continuity of care, above and beyond patient-related characteristics.
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