Type 1 diabetes and frailty: A scoping review.

AIMS: Advances in type 1 diabetes management are enabling more to reach older ages. Frailty is known to complicate type 2 diabetes. However, frailty in people with type 1 diabetes has not been extensively researched. This review summarises the available evidence on frailty in those with type 1 diabetes. METHODS: A systematic search strategy was applied to multiple databases (Medline, Embase, CINAHL and Cochrane) including grey literature (Scopus, OAIster, OpenGrey, dissertation and thesis database). All evidence types were considered. English articles published after 2001 were eligible. For inclusion, participants must have been over 55 with type 1 diabetes. Frailty must have been clearly defined or assessed. The results were synthesised into a descriptive format to identify key themes. RESULTS: Of 233 papers subject to full-text review, 23 were included. Older adult diabetes research frequently does not specify the type of diabetes; 100 articles were excluded for this reason. No articles were found specifically researching frailty in older adults with type 1 diabetes. Fourteen different definitions and nine assessments of frailty were outlined. Generally, the papers supported relaxation of glucose targets and greater adoption of diabetes technology. CONCLUSIONS: This review highlights the paucity of evidence in older adults with type 1 diabetes and frailty. Consensus on standardised definitions and assessments of frailty would aid future research, which is urgently needed as more people with type 1 diabetes reach older ages. Identifying and addressing the key issues in this population is vital to support individuals through the challenges of ageing.

What Is the Influence of HIV Serostatus on HbA1c? A Prospective Analysis Using Continuous Glucose Monitoring.

OBJECTIVE: Type 2 diabetes (T2D) is reported to be more common in people living with HIV (PLWH). Clinical guidelines recommend screening for diabetes in PLWH, but there is no agreed method due to studies reporting HbA1c is falsely low in PLWH. These studies were performed in the early HIV era when participants were taking older preparations of antiretroviral therapy that are rarely used today. We aimed to investigate whether HIV serostatus influences HbA1c. RESEARCH DESIGNS AND METHODS: We conducted a prospective cohort study of PLWH and age- and sex-matched HIV-negative participants who were purposely recruited from clinics in Brighton, U.K. Each participant wore a Dexcom G6 continuous glucose monitor (CGM) for up to 10 days, had glucose measured during an oral glucose tolerance test, and fructosamine and paired HbA1c were measured. We performed regression analysis to assess the influence of HIV on HbA1c and used a separate model for CGM glucose, venous glucose, and fructosamine. In addition, we included predictor variables used in previous studies that explored HbA1c discrepancy. RESULTS: We recruited 60 PLWH (90% men, 50% with T2D, mean ± SD age 57 ± 10.7 years, 100% undetectable viral load) and 48 people without HIV (92% men, 30% with T2D, mean age 57.7 ± 8.9 years). We found that HIV serostatus did not have a significant influence on HbA1c within the regression models. CONCLUSIONS: We performed a comprehensive assessment of glycemia to assess whether HIV serostatus influences HbA1c. We did not find any strong evidence that HIV serostatus influenced HbA1c. The results of our study support incorporating HbA1c into routine clinical blood work in PLWH.

A cross-sectional assessment of frailty, falls and perceptions of ageing in people living with HIV using an mHealth platform.

OBJECTIVE: To evaluate frailty, falls and perceptions of ageing among clinically stable individuals with HIV, engaged with remote healthcare delivered via a novel smartphone application. METHODS: This was a multi-centre European cross-sectional, questionnaire-based sub-study of EmERGE participants. Frailty was assessed using the five-item FRAIL scale. Present criteria were summed and categorized as follows: 0, robust; 1-2, pre-frail; 3-5, frail. Falls history and EQ-5D-5L quality of life measure were completed. Participants were asked their felt age and personal satisfaction with ageing. RESULTS: A total of 1373 participated, with a mean age of 45 (± 9.8) years. Frailty was uncommon at 2%; 12.4% fell in the previous year, 58.8% of these recurrently. Mood symptoms and pain were prevalent, at 43.3% and 31.8%, respectively. Ageing satisfaction was high at 76.4%, with 74.6% feeling younger than their chronological age; the mean felt age was 39.3 years. In multivariable analysis, mood symptoms and pain were positively associated with frailty, falls and ageing dissatisfaction. An increase in pain severity and mood symptoms were respectively associated with 34% and 63% increased odds of pre-frailty/frailty. An increment in pain symptoms was associated with a 71% increase in odds of falling. Pain was associated with ageing poorly, as were mood symptoms, with odds of dissatisfaction increasing by 34% per increment in severity. CONCLUSIONS: Although uncommon, frailty, falls and ageing dissatisfaction were seen in a younger cohort with medically stable HIV infection using a remote care model, promoting screening as advocated by European guidelines. These were more common in those with pain or mood symptoms, which should be proactively managed in clinical care and explored further in future research.

Systematic Review of Prevalence and Predictors of Frailty in Individuals with Human Immunodeficiency Virus.

OBJECTIVES: To describe the prevalence and predictors of frailty in individuals with the human immunodeficiency virus (HIV) using systematic review methodology. DESIGN: Review. SETTING: Community. PARTICIPANTS: Older adults with HIV. MEASUREMENTS: Medline, CINAHL, EMBASE, PsychInfo, and PubMed were searched for original observational studies with populations including individuals with HIV in which frailty was assessed using the frailty phenotype or a variant thereof. Studies were examined for frailty prevalence and predictors of the syndrome in those with HIV. RESULTS: Thirteen of 322 citations were included for full review. All demonstrated the presence of frailty in individuals with HIV, with prevalence ranging from 5% to 28.6% depending on population studied. HIV was a risk factor for frailty. Predictors of frailty included older age, comorbidities, diagnosis of acquired immunodeficiency syndrome, and low current CD4(+) cell count. CONCLUSION: HIV appears to be an independent risk factor for frailty, with frailty occurring in individuals with HIV at rates comparable with older individuals without HIV. Heterogeneity in study populations and frailty assessment measures hamper accurate description of the problem. Future longitudinal work with standardized methodology is needed to describe prevalence accurately and confirm predictors.