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New risk factors of severe hypoglycemia

The number of elderly persons is

increas-ing dramatically worldwide, especially in East Asia, and the average age of patients with diabetes has become older in this area. The quality of life of elderly patients with diabetes is easily impaired because of frailty and the development of physical disability. One of the major causes of these conditions is treatment-related sev-ere hypoglycemia, which becomes a trig-ger for incidental falls, irreversible brain damage, cognitive dysfunction, cardiovas-cular events and fetal arrhythmia. There-fore, identifying the risk factors of severe hypoglycemia is critical for predicting and preventing severe hypoglycemia and its complications in individual patients. Various studies have investigated the risk factors for severe hypoglycemia, and have identified the type of diabetes, aging, sul-fonylureas, insulin therapy, low glycated hemoglobin (HbA1c) values, long dura-tion of diabetes and poor cognitive func-tion as risk factors. A recent survey of the Japan Diabetes Society regarding treatment-related severe hypoglycemia confirmed that severe hypoglycemia was associated with old age, low glycated hemoglobin, medication of insulin and/or sulfonylureas, renal dysfunction, and a prior history of severe hypoglycemia in Japanese patients with type 2 diabetes1.

Lee et al.2 recently evaluated the risk factors for severe hypoglycemia in the Atherosclerosis Risk in Communities (ARIC) Study. The ARIC study is a prospective study that has been carried out since 1987–1989 in four USA com-munities. After 12 years of the study, 1,144 black and white individuals out of a total of 1,511 individuals who were diagnosed as diabetes or were taking dia-betes medications were prospectively

observed during a median follow-up per-iod of 15.2 years. A total of 185 severe hypoglycemic events were identified through 2013 by International Classi fica-tion of Diseases ninth revision codes from claims for hospitalization, emer-gency department visits and ambulance use. The Cox regression analysis showed that old age, black race, high fruc-tosamine level, glucose-lowering medica-tion, >300 mg/g urinary albumin excretion rate and poor cognitive func-tion were identified as the isolated

tradi-tional risk factors of severe

hypoglycemia. In addition to these fac-tors, activities of daily living (ADLs) dif fi-culty and the number of ADLs, but not instrumental ADLs (IADLs), were associ-ated with severe hypoglycemia. As IADLs might be tightly associated with recogni-tion funcrecogni-tion, the difficulty of IADLs was not solely determined as a risk factor of severe hypoglycemia after adjustment of cognitive function (Figure 1)2.

The Atherosclerosis Risk in Commu-nities study also showed that low 1,5-anhydroglucitol (1,5-AG) was a risk factor for severe hypoglycemia indepen-dent of average glucose levels (Fig-ure 1)2. Hyperglycemia-induced increase of urinary glucose levels compete re-absorption of 1,5-AG via urinary tract and decrease serum 1,5-AG levels. Therefore, low 1,5-AG, a biomarker of glucose excursion, which reflects a long duration of high-glucose excursion, could be related to overtreatment for hyperglycemia and cause easily hypo-glycemia. Indeed, higher HbA1c tended to be a risk factor for severe hyper-glycemia, as well as lower HbA1c levels in type 2 diabetes patients3. The Dia-betes Control and Complication Trial also reported that glucose variability determined from a standard deviation of a 7-point self-monitoring glucose mea-surement was associated with severe hypoglycemia in the intensive insulin treatment group for type 1 diabetes4.

In 2016, the Japan Diabetes Society and the Japan Geriatrics Society recom-mended that the target level of glycemic control for elderly patients with diabetes should be changed from <7–8.5% according to the level of impaired cogni-tive function and difficulty of ADLs and IADLs with or without the use of insulin, sulfonylureas or glinides5. In addition, the lower limit of the target HbA1c level for these patients should range between 6.5 and 7.5% to prevent severe hypo-glycemia. This recommendation was strongly confirmed by the results of the ARIC study and the Survey of Severe Hypoglycemia by the Japan Diabetes Society1. Therefore, the level of cognitive function and difficulty of ADLs should be evaluated routinely, and the target of glycemic goal should be decided accord-ing to these parameters and well-known traditional risks of severe hypoglycemia.

The recent development of oral glucose medications, insulin analogs and insulin devices could contribute to a decrease in severe hypoglycemia. Among these devel-opments, a predictive low glucose man-agement system, which stops the insulin delivery of a insulin pump if hypoglycemia is predicted within a certain period, has recently been reported to reduce severe hypoglycemia in patients with type 1 dia-betes6. On the contrary, high-risk patients with diabetes for severe hypoglycemia are increasing because of increasing number of elderly patients with impaired recogni-tion funcrecogni-tion, difficulty of ADL renal dysfunction, and polypharmacy. We, therefore, evaluate these risk factors totally and select anti-diabetic medications with lower risk for hypoglycemia in each patient.

In conclusion, the ARIC study showed that glucose fluctuations and the level of ADLs could be associated with the inci-dence of severe hypoglycemia, as well as traditional risk factors, such as aging, black race, averaged glucose level (fruc-tosamine), diabetes medication, albumin-*Corresponding author. Munehide Matsuhisa

Tel.: +81-88-633-7587 Fax: +81-88-633-7589

E-mail address: [email protected]

Received 21 August 2018; revised 28 August 2018; accepted 30 August 2018

ª 2018 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd J Diabetes Investig Vol. 10 No. 2 March 2019 219 This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution

in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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to-creatinine ratio and cognitive function. These findings are very important for determining the target glucose level and to adequately select antidiabetic medica-tion for individual elderly patients with type 2 diabetes.

DISCLOSURE

Munehide Matsuhisa received speaker fees (Sanofi K. K., Novartis Pharma K.K., Novo Nordisk Co., Ltd., Mitsubishi

Tanabe Corporation, Astellas Pharm Inc., Takeda Pharmaceutical Co., Ltd., Nippon Eli Lilly Japan K.K.) and clinical research grants (funding for clinical trials, clinical studies, contracted research and collabo-rative research; Daiichi Sankyo Co., Ltd., Nippon Boehringer Co., Ltd., Mitsubishi Tanabe Corporation, Tokushima Data Service Co., Ltd. and Astellas Pharm Inc.). Akio Kuroda received a speaker fee (Nippon Eli Lilly Japan K.K.)

Munehide Matsuhisa* , Akio Kuroda Diabetes Therapeutics and Research Center, Institute of Advanced Medical Sciences, Tokushima University, Tokushima, Japan

REFERENCES

1. Namba M, Iwakura T, Nishimura R, et al. The current status of treatment-related severe hypoglycemia in Japanese patients with diabetes mellitus: a report from the committee on a survey of severe hypoglycemia in the Japan Diabetes Society. J Diabetes Investig 2018; 9: 642–656.

2. Lee AK, Lee CJ, Huang ES, et al. Risk factors for severe hypoglycemia in black and white adults with diabetes: the Atherosclerosis Risk in

Communities (ARIC) study. Diabetes Care 2017; 40: 1661–1667.

3. Lipska KJ, Inzucchi SE, Warton EM, et al. HbA1c and risk of severe hypoglycemia in type 2 diabetes. The Diabetes and Aging Study. Diabetes Care 2013; 36: 3535–3542.

4. Kilpatrick ES, Rigby AS, Goode K, et al. Relating mean blood glucose and glucose variability to the risk of multiple episodes of hypoglycaemia in type 1 diabetes. Diabetologia 2007; 50: 2553–2561.

5. Japan Diabetes (JDS)/Japan Geriatrics Society (JGS) Joint Committee on Improving Care for Elderly Patients with Diabetes. Committee Report: glycemic targets for elderly patients with diabetes. J Diabetes Investig 2017; 8: 126–128.

6. Gomez AM, Henao DC, Imitola A, et al. Efficacy and safety of sensor-augmented pump therapy (SAPT) with predictive low-glucose management in patients diagnosed with type 1 diabetes mellitus previously treated with SAPT and low glucose suspend. Endocrinol Diabetes Nutr 2018; 65: 451–457.

Doi: 10.1111/jdi.12925 Any ADL difficulty

Any IADL difficulty No. of ADLs/IADLs (ref = 0) 1 ADL/IADL 2 ADLs/IADLs 3+ ADLs/IADLs Poor/fair self-rated health Unintentional weight loss Prevalence of CHD Prevalence of stroke No. of comorbidities (ref = 0) 1 comorbidity 2 comorbidities 3+ comorbidities

1,5-AG, per 5 µg/mL Nt-proBNP, per log-transformed SD hs-cTnT, per log-transformed SD hsCRP, per log-transformed SD

Beta-blockers Anti-depressants

Family history of diabetes Medicaid insurance Education (ref = some college) High school graduate Less than high school graduate

D e mog raphics M e dications Biomar kers General health Disabilit y Model 1 Model 2 0.5 1 2 Hazard ratio 4

Figure 1 | Adjusted hazard rations and 95% confidence intervals for non-traditional risk factors for hypoglycemia (n= 1,144; 169 people with hypoglycemia). Model 1 included age, sex and race. Model 2 included all variables in model 1 plus obesity, fructosamine, diabetes duration, diabetes medication, renal function and the albumin-to-creatinine ratio. 1.5-AG,

1,5-anhydroglucitol; ADL, activities of daily living; CHD, coronary heart disease; hsCRP, high-sensitive C-reactive protein; hs-cTnT, high-sensitivity cardiac troponin T; IADL, instrumental activities of daily living; NT-proBNP, N-terminal pro-B-type natriuretic peptide; SD, standard deviation. Reproduced from the Atherosclerosis Risk in Communities (ARIC) study2with permission.

220 J Diabetes Investig Vol. 10 No. 2 March 2019 ª 2018 The Authors. Journal of Diabetes Investigation published by AASD and John Wiley & Sons Australia, Ltd C O M M E N T A R Y

Figure 1 | Adjusted hazard rations and 95% confidence intervals for non-traditional risk factors for hypoglycemia (n = 1,144; 169 people with hypoglycemia)

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