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Sliding Scale Insulin and Hypoglycemia in Long-Term Care
The prevalence of diabetes mellitus (DM) continues to increase steadily as obesity reaches epidemic proportions worldwide in all segments of the population, including older adults residing in long-term care facilities.1-3 Today, approximately 25% of adults aged 65 and older in the United States have diabetes.4 The incidence of diabetes will increase exponentially, as noted by Narayan and colleagues5: “These increases are largest for the two oldest age groups: 220% among those aged 65 to 74 years and 449% among those aged 75 years and older between 2005 and 2050. In the long-term care setting, the management of type 2 DM is critically important; however, it remains particularly challenging due to the complex and fragile nature of older adults in long-term care settings.6,7 With a plethora of available medications to treat diabetes, prescribing often hinges on provider preferences, goals of treatment, and individual patient preferences and characteristics. This is exemplified by a recent study highlighting the widespread variability and inconsistency among prescribing patterns in older adults with diabetes in US nursing homes.8
In 2012, the American Geriatrics Society (AGS) Updated Beers Criteria for Potentially Inappropriate Medication Use in Older Adults challenged the widely accepted traditional practice of DM management with sliding scale insulin (SSI), which typically consists of providing patients with short-acting insulin from 4 to 6 times per day, based on finger-stick glucose level immediately prior to insulin injections. In this recommendation, the AGS suggested for the first time, and with a strong recommendation, that SSI is a therapeutic approach to be avoided in the elderly because of the “high risk of hypoglycemia without improvement in hyperglycemia management, regardless of care setting.”9 Other researchers have also noted that SSIs may provide no benefit and perhaps result in harm.10-12 The “reactive” SSI approach can lead to rapid changes in blood glucose levels, exacerbating both hyperglycemia and hypoglycemia.13,14 In the inpatient hospital setting, data suggest that SSIs should not be used on their own and do not provide any added benefit when used with other diabetes medications.13,15-18 In its position statement on inpatient diabetes and metabolic control, the American College of Endocrinology also strongly discourages the use of SSI, highlighting the lack of evidence to support this therapeutic approach.19
Although numerous studies have demonstrated that SSIs may result in poor glycemic control and noxious effects, it continues to be the most prescribed insulin regimen, according to several studies.12,14,15 The reasons for this pattern are not well articulated, and there has been little research on diabetes management in long-term care settings. Specifically, hypoglycemia with the use of SSIs has been poorly defined in elderly residents undergoing subacute rehabilitation in long-term care facilities Annals of Long-Term Care: Clinical Care and Aging®(ALTC ) had the opportunity to discuss the widespread use of SSIs in the nursing home population with a team of investigators from North Shore LIJ Health System, Manhasset, NY: Santiago Lopez, MD, Renee Pekmezaris, PhD, Liron Sinvani, MD, Jinny Caldentey, MD, and Andrzej Kozikowski, PhD. To illustrate their points, Lopez and colleagues explain the results and clinical implications of a retrospective chart review study that they conducted to assess risk of hypoglycemia when using SSIs in elderly persons with diabetes residing in a skilled nursing facility (SNF) that is part of a large academic health system in the New York metropolitan area. The answers below represent their collective responses.
ALTC: What were the objectives of your study?
In our study, we aimed to evaluate the risk of hypoglycemia when using SSIs in the management of diabetes in elderly residents admitted for subacute care in a long-term care facility after hospitalization. The primary objective of this study was to provide further supporting evidence for the inclusion of SSIs in the Beers criteria. Specifically, we sought to: (1) evaluate the risk of hypoglycemia with the use of SSIs in geriatric residents undergoing subacute rehabilitation in a long-term care facility; (2) assess risk factors for hypoglycemia with SSI when used with additional diabetes medications in elderly residents admitted to a long-term care facility; and (3) evaluate whether the type of SSI (conservative vs aggressive) is associated with disparate glycemic control in the geriatric population.
How did you conduct your study?
The study used a retrospective chart review design, conducted in residents with type 2 DM, aged 65 and older, who were transferred from hospitals to a 249-bed SNF for subacute rehabilitation. Residents were excluded if they were admitted to the hospital with a diagnosis of diabetic ketoacidosis, new-onset of type 2 DM, hyperosmolar nonketotic coma, or hypoglycemia. All residents fitting these criteria (N=752) were identified using ICD-9 diagnosis codes from the long-term care facility medical records between August 2011 and August 2012. Of these, 100 charts were randomly selected utilizing the random number generator in Microsoft Excel. The study was approved by the institution’s review board.
Charts were reviewed for past medical history of diabetes and for demographic and epidemiological information such as gender, age, race, weight, height, body mass index (BMI), admitting diagnosis, length of stay in hospital, length of stay in subacute rehabilitation, functionality, and comorbidities. Laboratory information on long-term care facility admission including blood glucose, creatinine, albumin, and glycosylated hemoglobin levels (HbA1C) were recorded. Chart data were extracted from the nurses’ finger stick logs and insulin administration records in the Medication Administration Record for diabetic regimen, including oral antidiabetics, insulin use (basal/bolus/mixed), and SSI. Use of SSI was then divided into aggressive and conservative categories based on Queale’s study15 (glucose level <175 mg/dL and glucose level >175 mg/dL, respectively). Finger-stick logs were then reviewed for episodes of hypoglycemia: finger stick <70 mg/dL and hyperglycemia >200 mg/dL. Of note, all finger-sticks are performed on all long-term care residents with diabetes according to the pre-meal institutional schedule. If episodes of hypoglycemia were found, the timing of the hypoglycemic episode, the presence of contributing factors, such as missed meals, and regimen changes following the episodes were assessed and documented.
Functional status and illness severity on admission to the long-term care facility were assessed. Functional status was evaluated by using the New York State Department of Health Hospital and Community Patient Review Instrument to assess independence in activities of daily living.20 Scores range from 4 to 25, with 4 indicating completely independent and 25 indicating entirely dependent. Furthermore, comorbidities were assessed using the Charlson Comorbidity Score, a validated tool to assess increased severity of condition.21
What were the characteristics of your study population?
In the 100 residents analyzed, average age was 81.3 years with 56% female and 88% white. Average body weight was 74 kg with BMI of 27.1 kg/m2. Average comorbidity index was 5, with moderately impaired function. Median length of stay in the hospital and in long-term care were 6 and 18.5 days, respectively. The most frequent admission diagnoses were elective surgery (19%) and non-elective surgery (16%), followed by respiratory disease (14%) and infectious disease (13%). All residents had a history of diabetes, 60% had diabetes with end organ damage, 47% had myocardial infarction, 31% had a tumor, and 26% had a history of congestive heart failure.
What did the results of your data analysis reveal with regard to treatment type, patient characteristics, and the incidence of hypoglycemia?
The Table shows hypoglycemic episodes according to diabetes treatment regimen. Over half (57%) of the residents received SSIs. The incidence of a hypoglycemic event was 2.65 times greater in the SSI group compared with the non-SSI group (2.28 vs 0.86, respectively, per 100 SNF resident days; P<.05).
The median age for the residents who developed hypoglycemic episodes was 78 years, with an average Charlson Comorbidity Index greater than 4. There were 38 episodes of hypoglycemia (glucose <70 mg/dL) in 18 residents, with approximately half of the episodes occurring between 4 am and 8 am. We observed 70% of residents had a glomerular filtration rate under 50 mL/min and 80% had an HbA1C level less than 7%. HbA1C did not significantly differ between residents who received SSIs versus those that did not (P=.341) and it did not differ between residents who experienced one or more hypoglycemic events versus those that had no hypoglycemic episodes (P=.967). Glomerular filtration rate also did not significantly differ between residents on SSI regimens versus those that did not receive SSIs (P=.271), and it did not differ based on hypoglycemic status (P=.199).
We also did not find significant associations between hypoglycemic status and age (P=.113), sex (P=.350), weight (P=.910), BMI (P=.977), and Charlson Comorbidity Index (P=.327). None of the diseases in resident medical history with the exception of liver disease (P=.049) were significantly associated with hypoglycemic status in residents who received SSIs.
Did you note any significant differences with regard to hypoglycemia in aggressive versus conservative SSIs?
In our study, 26% of residents were on aggressive SSI regimens and 31% were on conservative SSI regimens (Table). A higher percentage of residents on aggressive SSI regimens had one or more hypoglycemic episodes (44.4%) compared with those on conservative regimens (27.8%).
Can you speak briefly to the importance of HbA1C levels in guiding treatment, including in those who receive SSI regimens?
The basis of the 2012 AGS’ updated Beers criteria recommendation regarding SSIs was a 1997 study by Queale and colleagues.15 These authors sought to identify predictors of hypoglycemic and hyperglycemic episodes and analyzed glycemic control and SSI use in 171 medical inpatients with DM. The researchers found that although SSIs were commonly prescribed, they provided no benefit and seemed to be associated with episodes of both hyperglycemia and hypoglycemia.15 While Queale’s study included different epidemiologic and laboratory data, it did not consider HbA1C levels.15 Various studies have shown the importance of HbA1C in guiding the treatment of type 2 diabetic older adults. The ADVANCE trial (Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation), ACCORD trial (Action to Control Cardiovascular Risk in Diabetes, and VADT trial (Veterans Affairs Diabetes Trial) are among the trials that have helped to define the importance of individualizing the management of type 2 DM in elderly patients while accounting for HbA1C levels.22-24 The American Diabetes Association recommends a target HbA1C less than 7% for healthy older adults with a life expectancy of more than 10 years and less than 8% for frail elderly patients with a shorter life expectancy.25 Since HbA1C levels are important in guiding the treatment of type 2 DM, it may also be important to monitor the HbA1C levels while using SSIs in this population.
What are the practical implications of your study?
This study shows a markedly increased risk of hypoglycemia in elderly diabetic residents admitted to a long-term care setting receiving SSIs, thus medical professionals in long-term care settings should follow the recommendations in the AGS Beers criteria by avoiding the use of SSIs in older adults with diabetes. Moreover, medical professionals should provide elderly residents with type 2 DM with individualized treatment, considering HbA1C levels, frailty, and life expectancy in order to determine personalized target HbA1C levels to avoid hypoglycemic episodes and adverse outcomes.
Did you identify any limitations of your study?
Given the small sample size and the retrospective design utilized, findings from our study should be considered as preliminary and should be confirmed by larger studies. Additionally, we utilized a chart review methodology, which can provide incomplete data due to unrecorded information.26 However, chart review methodology does allow for the collection of rich and readily available data that may not be accessible and/or ethical through other approaches, such as random assignment.27
The updated AGS Beers criteria, which lists SSIs as a potentially inappropriate medication for older patients, was published during our data collection period; therefore the impact of the criteria will not be reflected in our results. Further research should investigate if prescribing patterns have changed as a result of the Beers criteria recommendations.
Why do you think the use of SSIs persists in the long-term care setting despite evidence against its use, and what will it take for facilities to phase out SSI prescribing?
The use of SSIs has persisted for generations mostly due to tradition, convenience, and the ability to rapidly initiate treatment. This practice has been passed down from attending physicians to residents and continues to this day. Patients are usually provided with SSIs in the acute care hospital setting and this order is often transmitted at time of transfer into long-term care. Unfortunately, the provision of SSIs is ingrained in the culture of diabetes management without sufficient evidence for its practice.
We believe that educating experienced medical professionals and those still in training, as well as establishing institutional protocols, are key to breaking the cycle of decades-long SSI provision. The use of other medications, including basal insulin, prandial insulin, and correction-dose insulin, should be part of an institution-wide protocol that all hyperglycemic residents receive. Without such measures, SSIs will likely continue to be provided to residents.
References
1. Cowie CC, Rust KF, Ford ES, et al. Full accounting of diabetes and pre-diabetes in the US population in 1988–1994 and 2005–2006. Diabetes Care. 2009;32(2):
287-294.
2. Zhang X, Decker FH, Luo H, et al. Trends in the prevalence and comorbidities of diabetes mellitus in nursing home residents in the United States: 1995–2004. J Am Geriatr Soc. 2010;58(4):724-730.
3. Nguyen NT, Nguyen XMT, Lane J, Wang P. Relationship between obesity and diabetes in a US adult population: findings from the National Health and Nutrition Examination Survey, 1999-2006. Obes Surg. 2011;21(3):351-355.
4. National diabetes fact sheet: national estimates and general information on diabetes and prediabetes in the United States. Atlanta, GA: US Department of Health and Human Services, Centers for Disease Control and Prevention, 2011. www.cdc.gov/diabetes/pubs/pdf/ndfs_2011.pdf. Accessed January 28, 2015.
5. Narayan K, Boyle JP, Geiss LS, Saaddine JB, Thompson TJ. Impact of recent increase in incidence on future diabetes burden US, 2005-2050. Diabetes Care. 2006;29(9):2114-2116.
6. Brown AF, Mangione CM, Saliba D, Sarkisian CA; California Healthcare Foundation/American Geriatrics Society Panel on Improving Care for Elders With Diabetes. Guidelines for improving the care of the older person with diabetes mellitus. J Am Geriatr Soc. 2003;51(suppl 5 guidelines):S265-S280.
7. Bethel MA, Sloan FA, Belsky D, Feinglos MN. Longitudinal incidence and prevalence of adverse outcomes of diabetes mellitus in elderly patients. Arch Intern Med. 2007;167(9):921-927.
8. Loguidice C. Study sheds light on type 2 diabetes treatment patterns in US nursing homes. www.annalsoflongtermcare.com/content/study-sheds-light-type-2-diabetes-treatment-patterns-us-nursing-homes. Published September 10, 2014. Accessed January 28, 2015.
9. American Geriatrics Society 2012 Beers Criteria Update Expert Panel. American Geriatrics Society updated Beers Criteria for potentially inappropriate medication use in older adults. J Am Geriatr Soc. 2012;60(4):616-631.
10. Sawin CT. Action without benefit: the sliding scale of insulin use. Arch Intern Med. 1997;157(5):489.
11. Hirsch IB. Sliding scale insulin—time to stop sliding. JAMA. 2009;301(2):213-214.
12. Umpierrez GE, Palacio A, Smiley D. Sliding scale insulin use: myth or insanity? Am J Med. 2007;120(7):563-567.
13. Browning LA, Dumo P. Sliding-scale insulin: an antiquated approach to glycemic control in hospitalized patients. Am J Health Syst Pharm. 2004;61(15):1611-1614.
14. Inzucchi SE. Management of hyperglycemia in the hospital setting. N Engl J Med 2006;355(18):1903-1911.
15. Queale WS, Seidler AJ, Brancati FL. Glycemic control and sliding scale insulin use in medical inpatients with diabetes mellitus. Arch Intern Med. 1997;157(5):545-552.
16. Pandya N, Thompson S, Sambamoorthi U. The prevalence and persistence of sliding scale insulin use among newly admitted elderly nursing home residents with diabetes mellitus. J Am Med Dir Assoc. 2008;9(9):663-669.
17. Dickerson LM, Ye X, Sack JL, Hueston WJ. Glycemic control in medical inpatients with type 2 diabetes mellitus receiving sliding scale insulin regimens versus routine diabetes medications: a multicenter randomized controlled trial. Ann Fam Med. 2003;1(1):29-35.
18. Golightly LK, Jones MA, Hamamura DH, Stolpman NM, McDermott MT. Management of diabetes mellitus in hospitalized patients: efficiency and effectiveness of sliding scale insulin therapy. Pharmacotherapy. 2006;26(10):1421-1432.
19. Garber AJ, Moghissi ES, Bransome ED, et al; American College of Endocrinology Task Force on Inpatient Diabetes Metabolic Control. American College of Endocrinology position statement on inpatient diabetes and metabolic control. Endocr Pract. 2004;10(1):77-82.
20. Hospital and Community Patient Review Instrument (HC-PRI). New York State Department of Health website. www.health.ny.gov/forms/doh-694.pdf. Accessed January 28, 2015.
21. Charlson ME, Pompei P, Ales KL, MacKenzie R. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373-383.
22. Gerstein HC, Miller ME, Byington RP, et al; Action to Control Cardiovascular Risk in Diabetes Study Group. Effects of intensive glucose lowering in type 2 diabetes.
N Engl J Med. 2008;358(24):2545-2559.
23. Chalmers J, MacMahon S, Patel A, et al. Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes. N Engl J Med. 2008;358:2560-2572.
24. Duckworth W, Abraira C, Moritz T, et al; VADT Investigators. Glucose control and vascular complications in veterans with type 2 diabetes. N Engl J Med. 2009;360(2):
129-139.
25. Kirkman SM, Briscoe VJ, Clark N, et al; Consensus Development Conference on Diabetes and Older Adults. Diabetes in older adults: a consensus report. J Am Geriatr Soc. 2012;60(12):2342-2356.
26. Pan L, Fergusson D, Schweitzer I, Hebert PC. Ensuring high accuracy of data abstracted from patient charts: the use of a standardized medical record as a training tool. J Clin Epidemiol. 2005;58(9):918-923.
27. Gearing RE, Mian IA, Barber J, Ickowicz A. A methodology for conducting retrospective chart review research in child and adolescent psychiatry. J Can Acad Child Adolesc Psychiatry. 2006;15(3):126-134.