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1.
Diabetes Res Clin Pract ; 202: 110737, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37285967

ABSTRACT

AIM: To evaluate the association between trajectories of glycated haemoglobin (HbA1c) and potentially avoidable hospitalisations (PAH). METHODS: We performed a cohort study in a tertiary hospital in Singapore among adult type 2 diabetes patients with ≥ 3 HbA1c tests over two years. Then, we followed up for one year after the last HbA1c reading to determine the PAH outcome. Glycaemic control was analysed by (1) HbA1c trajectories through group-based trajectory modelling, and (2) mean HbA1c. PAH was defined using the Agency of Healthcare Research and Quality criteria, categorising as overall, diabetes, acute, and chronic-composites. RESULTS: A total of 14,923 patients (mean age: 62.9 ± 12.8 years; 55.2% men) were included. Four HbA1c trajectories were observed; low-stable (n = 9854, 66.0%), moderate-stable (n = 3125, 20.9%), high-decrease (n = 1017, 6.8%) and high-persistent (n = 927, 6.2%). Compared to the low-stable trajectory, one-year risk ratio (RR) and 95% confidence interval (CI), respectively for moderate-stable, high-decrease and high-persistent trajectories were as follows: (1) overall PAH: 1.15 (1.00-1.31), 1.53 (1.31-1.80), 1.96 (1.58-2.43); (2) diabetes PAH: 1.30 (1.04-1.64), 1.98 (1.55-2.53), 2.24 (1.59-3.15); (3) acute PAH: 1.14 (0.90-1.44), 1.29 (0.95-1.77), 1.75 (1.17-2.62); and (4) chronic PAH: 1.21 (1.02-1.43), 1.62 (1.34-1.97), 2.14 (1.67-2.75). Mean HbA1c was significantly associated with overall and chronic-composites of PAH whilst evidence of a non-linear relationship with diabetes-composite of PAH was noted. CONCLUSION: Patients with high-decrease trajectory had a risk lower than those with persistently-high HbA1c, highlighting that a greater risk of hospitalisation conferred by poor glycaemic control is potentially reversible. Determining HbA1c trajectories could help to identify the high-risk individuals for targeted and intensive management to improve care and reduce hospitalisations.


Subject(s)
Diabetes Mellitus, Type 2 , Hyperglycemia , Male , Humans , Adult , Middle Aged , Aged , Female , Diabetes Mellitus, Type 2/epidemiology , Glycated Hemoglobin , Cohort Studies , Tertiary Care Centers
2.
J Am Med Dir Assoc ; 18(8): 734.e9-734.e14, 2017 Aug 01.
Article in English | MEDLINE | ID: mdl-28623152

ABSTRACT

BACKGROUND: In the context of a rapidly ageing population, Singapore is anticipating a rise in multimorbidity, disability, and dependency, which are driven by physical frailty. Healthy Older People Everyday (HOPE) is an epidemiologic population-based study on community-dwelling older adults aged 65 years and older in Singapore. OBJECTIVE: To investigate the prevalence of frail and prefrail states and their association with polypharmacy, multimorbidity, cognitive and functional status, and perceived health status among community-dwelling older adults in Singapore. METHODS: Participants for HOPE were older adults aged 65 years and older recruited from a cohort study on the northwest region of Singapore. Analysis was performed on data collected from a combination of interviewer-administered questionnaires (including FRAIL scale, EQ-5D, Mini Mental State Examination, Barthel index, and Lawton IADL scale), clinical assessments, and physical measurements (including hand grip strength and Timed-Up-and-Go [TUG] test). RESULTS: A total of 1051 older adults (mean age 71.2 years) completed the study. More than half (57.2%) were female. The prevalence of frailty and prefrailty was 6.2% and 37%, respectively. Frailty was associated with older age, female gender, Indian (instead of Chinese) ethnicity, multimorbidity, polypharmacy, cognitive and functional impairment, weaker hand grip strength, longer TUG times, and poor perceived health status. Those with underlying cognitive impairment and frailty were at greater risk of adverse health outcome. CONCLUSION: Frailty is a complex health state with multiple domains and dimensions. In our study in a multiethnic Asian population, we identified nonmodifiable factors and modifiable risk factors (multimorbidity, polypharmacy, cognitive and functional impairment) that were associated with frailty. Interventions will have to be multipronged and will require a collaborated effort in order to effect change and improve the health span in rapidly ageing populations.


Subject(s)
Frailty/epidemiology , Aged , Aged, 80 and over , Female , Geriatric Assessment/methods , Health Surveys , Humans , Male , Prevalence , Singapore/epidemiology
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