AIM: Based on this document, a Southeast Asia Working Group (SEAWG) wished to see how the new ESCEO algorithm developed in 2019 was perceived by Southeast Asian experts and how it was integrated into their clinical practice.
METHODS: A SEAWG was set up between members of the international ESCEO task force and a group of Southeast Asian experts.
RESULTS: Non-pharmacological management should always be combined with pharmacological management. In step 1, symptomatic slow-acting drugs for osteoarthritis are the main background therapy, for which high-quality evidence is available only for the formulations of patented crystalline glucosamine sulfate and chondroitin sulfate. In step 2, oral NSAIDs are a useful option, considering the cardiovascular/renal/gastrointestinal profiles of the individual patient. Intra-articular hyaluronic acid and corticosteroids are a possible alternative to oral NSAIDs, but limited evidence is available. If steps 1 and 2 do not give adequate relief of symptoms, tramadol can be used, but its safety is debated. In general, the indications of the ESCEO algorithm are important in Southeast Asian countries, but the reimbursement criteria of local health systems are an important aspect for adherence to the ESCEO algorithm.
CONCLUSION: This guidance provides evidence-based and easy-to-follow advice on how to establish a treatment algorithm in knee OA, for practical implementation in clinical practice in Southeast Asian countries.
AIMS: This study aimed to determine common combinations of medications used among women aged 77-96 years and to describe characteristics associated with these combinations.
METHODS: A cohort study of older women enroled in the Australian Longitudinal Study on Women's Health over a 15-year period was used to determine combinations of medications using latent class analysis. Multinomial logistic regression was used to determine characteristics associated with these combinations.
RESULTS: The highest medication users during the study were for the cardiovascular (2003: 80.28%; 2017: 85.63%) and nervous (2003: 66.03%; 2017: 75.41%) systems. A 3-class latent model described medication use combinations: class 1: 'Cardiovascular & neurology anatomical group' (27.25%) included participants using medications of the cardiovascular and nervous systems in their later years; class 2: 'Multiple anatomical group' (16.49%) and class 3: 'Antiinfectives & multiple anatomical group' (56.27%). When compared to the reference class (class 1), the risk of participants being in class 3 was slightly higher than being in class 2 if they had > 4 general practitioner visits (RRR 2.37; 95% CI 2.08, 2.71), Department of Veterans Affairs' coverage (RRR 1.59; 95% CI 1.36, 1.86), ≥ 4 chronic diseases (RRR 3.16; 95% CI 2.56, 3.90) and were frail (RRR 1.47; 95% CI 1.27, 1.69).
CONCLUSION: Identification of combinations of medication use may provide opportunities to develop multimorbidity guidelines and target medication reviews, and may help reduce medication load for older individuals.
AIMS: This study determined the use of potentially inappropriate medications according to frailty status using the Beers Criteria 2019, identified medications that should be flagged as potentially inappropriate and harmful depending on individual health factors, and determined the association between frailty and PIMs, adjusted for characteristics associated with PIMs.
METHODS: This prospective longitudinal study included 9355 participants aged 77-82 years at baseline (2003). Frailty was measured using the FRAIL (fatigue, resistance, ambulation, illness and loss of weight) scale. Generalised estimating equations using log-binomial regressions determined the association between frailty and risk of using PIMs.
RESULTS: Among participants who were frail and non-frail at baseline, the majority used ≥ 3 PIMs (74.2% and 58.5%, respectively). At 2017, the proportion using ≥ 3 PIMs remained constant in the frail group (72.0%) but increased in the non-frail group (66.0%). Commonly prescribed medications that may be potentially inappropriate in both groups included benzodiazepines, proton-pump inhibitors and non-steroidal anti-inflammatory drugs, and risperidone was an additional contributor in the non-frail group. When adjusted for other characteristics, frail women had a 2% higher risk of using PIMs (RR 1.02; 95% CI 1.01, 1.03).
CONCLUSION: Given that the majority of frail women were using medications that may have been potentially inappropriate, it is important to consider both frailty and PIMs as indicators of health outcomes, and to review the need for PIMs for women aged 77-96 years who are frail.
AIMS: A community-based longitudinal study was performed to determine the incidence and to identify possible predictors of multimorbidity among multiethnic older adults population in Malaysia.
METHODS: Comprehensive interview-based questionnaires were administered among 729 participants aged 60 years and above. Data were analyzed from the baseline data of older adults participating in the Towards Useful Aging (TUA) study (2014-2016) who were not affected by multimorbidity (349 without any chronic diseases and 380 with one disease). Multimorbidity was considered present in an individual reporting two or more chronic diseases.
RESULTS: After 1½ years of follow-up, 18.8% of participants who were initially free of any diseases and 40.9% of those with one disease at baseline, developed multimorbidity. The incidence rates were 13.7 per 100 person-years and 34.2 per 100 person-years, respectively. Female gender, smoking, and irregular preparing of food (lifestyle) were predictors for incidence of multimorbidity, especially in those without any disease, while Body Mass Index (BMI) 22-27 kg/m2 and inadequate daily intake of iron were identified as predictors of multimorbidity among participants who already have one disease.
CONCLUSIONS: The incidence rates of multimorbidity among Malaysian older adults were between the ranges of 14-34 per 100 person-years at a 1½-year follow-up. Gender, smoking, BMI 22-27 kg/m2, inadequate daily intake of iron and lack of engagement in leisure or lifestyle physical activities were possible predictors in the development of multimorbidity. There is a need to formulate effective preventive management strategies to decelerate multimorbidity among older adults.