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Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America logoLink to Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
letter
. 2019 Oct 15;71(4):1127–1128. doi: 10.1093/cid/ciz1017

Frailty Is Associated With Insulin Resistance in Chronic Human Immunodeficiency Virus Infection

Dominic C Chow 1,, Monika Anna Bernas 1, Louie Mar Gangcuangco 1, Jason Huynh 1, Lindsay B Kohorn 1, Kalpana J Kallianpur 1,2, Scott A Souza 1,3, Bruce Shiramizu 1,2, Lishomwa C Ndhlovu 1,2, Cecilia M Shikuma 1
PMCID: PMC7428390  PMID: 31612202

To the Editor—We read with interest the article by Kelly et al [1] who described frailty as an independent risk factor for chronic diseases and mortality in persons living with human immunodeficiency virus (HIV; PLWH). Specifically, the authors observed that slow gait speed (GS) was associated with diabetes mellitus (DM). We add to their findings that measures of abnormal glucose metabolism prior to DM development can be linked to prefrail and frail conditions.

Data from the Hawaii Aging with HIV-Cardiovascular Disease study [2] were analyzed to assess the association of frailty with insulin resistance (IR). Frailty was characterized using Fried’s frailty phenotype (frail ≥3 criteria; prefrail = 1–2; nonfrail: 0) [3]. To assess IR, the homeostatic model assessment of IR (HOMA-IR) and oral disposition index (DIo) were calculated. DIo is also used to assess β-cell function [4].

Of 73 PLWH in our cohort, median age was 51 years and median CD4 count was 466 cells/mm3. The majority were male (89%) with plasma HIV RNA <50 copies/mL (84%). We found that 42 participants were nonfrail, 26 were prefrail, and 5 were frail. We ran separate analysis of variance models with a Tukey adjustment to assess the association between handgrip strength (HGS), GS, and IR between frailty groups. Frail and prefrail groups demonstrated significantly lower HGS compared with nonfrail participants (Table 1). Frail participants showed significantly slower GS compared with prefrail and nonfrail participants. HOMA-IR was significantly increased in frail participants compared with nonfrail participants. DIo was significantly lower in frail participants compared with nonfrail participants. DIo correlated with GS (rho = –0.245, P = .036) but not with HGS. Given the limited number of frail participants, we combined the prefrail and frail participants and performed sensitivity analyses on the above results to determine which associations still held. In our comparison of frail and nonfrail participants, we found that HGS and DIo remained significantly lower and GS remained significantly higher.

Table 1.

Characteristics of Persons Living With Human Immunodeficiency Virus Stratified by Frailty Score

Characteristic Nonfrail (n = 42) Prefrail (n = 26) Frail (n = 5)
Frail characteristic
 Average grip strength, kg (IQR) 41 (36–48) 30 (27–38)a 29 (26–30)a
 Average gait speed, seconds (IQR) 3.3 (3.0–3.7) 3.7 (3.5–4.2)a 5.2 (4.5–5.6)a,b
 Low physical activity, n (%)c,d 0 (0) 10 (38) 5 (100)
 Exhaustion, n (%)e,d 0 (0) 6 (23) 5 (100)
 ≥10 lb or ≥5% unintentional body weight loss, n (%)d 0 (0) 3 (11) 1 (20)
Glucose metabolism
 Insulin sensitivity (IQR) 0.02 (0.01–.03) 0.02 (0.01–.03) 0.008 (0.007–.017)a,b
 Homeostatic model assessment of insulin resistance (IQR) 1.44 (0.88–2.14) 1.48 (0.89–1.93) 4.06 (1.78–4.35)a
 Oral disposition index (IQR) 2.90 (1.79–3.90) 1.91 (1.45–3.43) 1.35 (1.14–1.61)a

Abbreviation: IQR, interquartile range.

a P ≤ .05 with nonfrail as the reference variable using Tukey adjustment.

b P ≤ .05 with prefrail as the reference variable using Tukey adjustment

cLow physical activity defined as health limiting vigorous activities.

dProportions of low physical activity, exhaustion, and weight loss were significantly different between groups by exact χ2 test.

eExhaustion defined as having little energy 3 or more days per week.

Frailty reflects reduced mobility related to poor skeletal muscle glucose uptake, suboptimal glycemic control, and IR [5]. Of Fried’s phenotypes, HGS and GS are the only parameters that provide objective measures of frailty. In clinical practice, implementing HGS and GS may also determine the degree of sarcopenia [6]. In older populations, guidelines to improve sarcopenia [7] have suggested specific measures such as prescription of resistance-based physical activity and protein supplementation. Similar interventional methods should be considered for frail and sarcopenic PLWH. The AIDS Clinical Trials Group A5322 study found that the development of slow gait was associated with baseline hemoglobin A1c [8]. A limitation of our study was that not all participants’ frailty measurements were performed at the same time as the IR measurement. Frailty and IR assessment were within 2 years of each other. Additionally, to address confounding by diabetes, participants with DM were removed from the analyses. Despite these limitations, frailty and lower HGS were significantly associated with worsening IR.

In summary, we found that frailty was significantly associated with reduced insulin sensitivity and increased IR. The role of chronic inflammation or persistent immune activation in frailty needs to be further explored as well as the utility of objective measures such as HGS and GS.

Notes

Acknowledgments. The authors thank the clinical and laboratory staff of the Hawaii Center for AIDS, University of Hawaii, and the many patients of the Hawaii Aging with HIV cohort study who made this study possible.

Financial support. This work was supported by National Institutes of Health grants U54 NS43049, R01HL095135, U54MD007584 and U54MD007601.

Potential conflicts of interest. The authors: No reported conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.

References

  • 1. Kelly SG, Wu K, Tassiopoulos K, et al. Frailty is an independent risk factor for mortality, cardiovascular disease, bone disease and diabetes among aging adults with HIV. Clin Infect Dis 2019; 69: 1370–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Chow D, Young R, Valcour N, et al. HIV and coronary artery calcium score: comparison of the Hawaii Aging With HIV Cardiovascular Study and Multi-Ethnic Study of Atherosclerosis (MESA) Cohorts. HIV Clin Trials 2015; 16:130–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Fried LP, Tangen CM, Walston J, et al. ; Cardiovascular Health Study Collaborative Research Group Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001; 56:M146–56. [DOI] [PubMed] [Google Scholar]
  • 4. Utzschneider KM, Prigeon RL, Faulenbach MV, et al. Oral disposition index predicts the development of future diabetes above and beyond fasting and 2-h glucose levels. Diabetes Care 2009; 32:335–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Perkisas S, Vandewoude M. Where frailty meets diabetes. Diabetes Metab Res Rev 2016; 32(Suppl 1):261–7. [DOI] [PubMed] [Google Scholar]
  • 6. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, et al. ; European Working Group on Sarcopenia in Older People Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in Older People. Age Ageing 2010; 39:412–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Dent E, Morley JE, Cruz-Jentoft AJ, et al. International clinical practice guidelines for sarcopenia (ICFSR): screening, diagnosis and management. J Nutr Health Aging 2018; 22:1148–61. [DOI] [PubMed] [Google Scholar]
  • 8. Masters M, Perez J, Tassiopoulos K, et al. Glycemic control and cognition are independently associated with gait speed decline. In: Program and abstracts of the 2019 Conference of Retroviruses and Opportunistic Infections. Seattle. Available at: http://www.croiconference.org/sessions/glycemic-control-and-cognition-are-independently-associated-gait-speed-decline. Accessed 10 March.

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