Abstract
Continuous glucose monitoring (CGM) is commonly used in the outpatient setting to improve diabetes management. CGM can provide real-time glucose trends, detecting hyperglycemia and hypoglycemia before the onset of clinical symptoms. In 2011, at the time the Endocrine Society CGM guidelines were published, the society did not recommend inpatient CGM as its efficacy and safety were unknown. While many studies have subsequently evaluated inpatient CGM accuracy and reliability, glycemic outcome studies have not been widely published. In the non-ICU setting, investigational CGM studies have commonly blinded providers and patients to glucose data. Retrospective review of the glucose data reflects increased hypoglycemia detection with CGM. In the ICU setting, data are inconsistent whether CGM can improve glycemic outcomes. Studies have not focused on hospitalized patients with type 1 diabetes mellitus, the population most likely to benefit from inpatient CGM. This article reviews inpatient CGM glycemic outcomes in the non-ICU and ICU setting.
Keywords: continuous glucose monitoring, CGM, inpatient, hospital, type 2 diabetes, type 1 diabetes
Up to 30% of all hospitalized patients have Diabetes Mellitus (DM).1-3 In 2007, an estimated 40.7 million hospital days were incurred by DM patients in the United States.4 As of 2012, this estimate increased to 43.1 million hospital days,5 a significant proportion of which without goal glycemic control, with hyperglycemia detected in up to 38% of all patients associated with increased morbidity and mortality.6-13 Moreover, hypoglycemia is detected in up to 30% of Type 2 Diabetes Mellitus (T2DM) patients treated with subcutaneous insulin.8,14-16 In the ICU, hypoglycemia occurs more often with intensive insulin therapy and is associated with increased mortality.17,18 Glycemic variability is associated with increased hospital length of stay and 90-day mortality.6 Glycemic excursions occur in the setting of poor provider understanding of DM therapy, medications promoting insulin resistance, sudden nutritional changes, and acute illness.3,19-21
In the ICU and non-ICU setting, continuous glucose monitoring (CGM) has the potential to limit glycemic excursions, thereby limiting morbidity and mortality. As of 2011, the Endocrine Society recommended against inpatient CGM due to lack of published safety and efficacy data.22 Since that time, numerous publications have evaluated inpatient CGM accuracy, reliability, and safety;23-31 however, few studies have evaluated the glycemic outcomes of subcutaneous CGM, which are limited by the lack of Type 1 Diabetes Mellitus (T1DM) subjects and the use of different CGM systems. This article will review subcutaneous CGM glycemic outcomes in the adult ICU and non-ICU setting.
Search Methods
To obtain studies for this review article, two independent reviewers (DLL and EKS) conducted an electronic PubMed search. We used various search queries to identify appropriate studies, including: “inpatient continuous glucose monitoring,” “inpatient CGM,” “intensive care unit continuous glucose monitoring,” “intensive care unit CGM,” “ICU continuous glucose monitoring,” “ICU CGM,” “non-critical care continuous glucose monitoring,” “non-critical care CGM,” “non-ICU CGM,” and “hospital CGM.” This review excluded studies evaluating CGM accuracy and reliability, which have been reviewed previously.23-31 While we reference isolated inpatient non-ICU CGM cases, we primarily included observational and randomized CGM glycemic outcome studies in this review (six ICU studies, three non-ICU studies), reflecting the scarcity of evidence on this topic, and the need for further studies.
ICU CGM Studies
ICU CGM has been studied with the ultimate goal of improving the outcomes of the critically ill, albeit primarily evaluating CGM accuracy and reliability. Table 1 describes the six studies evaluating the glycemic outcomes of ICU subcutaneous CGM. Notably, studies differ significantly, including subjects with different types of diabetes or even subjects without diabetes, using different types of CGM systems. More well-designed studies are needed to further evaluate the use of CGM among patients with diabetes in the critical care setting.
Table 1.
Ref | Service | CGM device | # patients | Outcome |
|
---|---|---|---|---|---|
Hypoglycemia | Glycemic target | ||||
30 | Medicine | CGMS System Gold, blind vs Guardian, nonblind | DMa = 24 No DM = 100 |
Nonblind CGM decreased severe hypoglycemia frequency vs blind CGM (1.6% vs 11.5%, P = .03) | No difference in mean glucose, nonblind vs blind CGM: Arterial: 113 ± 14.3 vs 114 ± 11.0 mg/dL, P = .7 Interstitial: 106 ± 18 vs 111 ± 10 mg/dL, P = .08 |
31 | Medicine | GlucoDay, blind vs GlucoDay, nonblind | T2DM = 6 T1DM = 2 No DM = 27 |
(1) No difference in hypoglycemia frequency, nonblind vs blind CGM (0.3 ± 0.5 vs 0.5 ± 0.6 events per 24 hours, P = ns) (2) Trend toward decreased % time with BG < 60 mg/dL, nonblind vs blind CGM (0.6 ± 1.6% vs 2.4 ± 4.3%, P = ns) |
(1) No difference in mean arterial glucose, nonblind vs blind CGM (119 ± 17 vs 122 ± 11 mg/dL, P = ns) (2) No difference in % time within target BG (80-110 mg/dL), nonblind vs blind CGM (37 ± 12% vs 34 ± 10%, P = ns) |
32 | Cardiac surgery | Automated insulin treatment algorithm (eMPC) vs Guardian, nonblind & eMPC | DMa = 6 No DM = 18 |
No difference in postop hypoglycemia duration, nonblind CGM vs eMPC (13.1 ± 2.6% vs 15.4 ± 2.4%, P = ns) | (1) No difference in mean glucose, nonblind CGM vs eMPC (111.6 ± 1.8 vs 109.8 ± 10.8 mg/dL, P = ns) (2) No difference in % time within target glucose range, nonblind CGM vs eMPC (46.3 ± 5.5 vs 46.2 ± 6.5%, P = ns) |
34 | Cardiac surgery | Paradigm, blind vs Paradigm, nonblind | T2DM = 6 No DM = 24 |
No severe hypoglycemia was measured in either group | (1) No difference in preop mean glucose, nonblind vs blind CGM: Capillary: 122.4 ± 18 vs 129.6 ± 28.8 mg/dL, P = .47 Interstitial: 117 ± 36 vs 111.6 ± 16.2 mg/dL, P = .51 (2) Nonblind CGM decreased postop mean interstitial glucose vs blind CGM: Interstitial: 117 ± 14.4 mg/dL vs 138.6 ± 27 mg/dL, P = .015 Capillary: 120.6 ± 14.4 mg/dL vs 135 ± 30.6 mg/dL, P = .1 |
37 | Cardiac | Capillary testing vs Guardian, nonblind | DMa = 11 No DM = 5 |
0 hypoglycemic events occurred in the nonblind CGM group vs 1 event in the capillary testing group | (1) CGM decreased time to achieve target glucose, nonblind CGM vs capillary testing (5.7 ± 3.1 hours vs 13 ± 7 hours, P = .02) (2) No difference in target glucose duration, nonblind CGM vs capillary testing (13.5 ± 14.8 hours vs 19.4 ± 18.2 hours, P = .5) |
39 | Medicine/surgery | Navigator, blind vs Navigator, nonblind | DMa = 39 No DM = 138 |
No difference in hypoglycemia duration, nonblind vs blind CGM: Capillary: 5 vs 3%, P = .21 Interstitial: 11 vs 9%, P = .44 |
No difference in target range glycemic duration, nonblind vs blind CGM: Capillary: 69 vs 66%, P = .47 Interstitial: 75 vs 71%, P = .18 |
No DM, subjects without diabetes mellitus; T1DM, type 1 Diabetes Mellitus; T2DM, type 2 Diabetes Mellitus.
Publication does not specify T2DM vs T1DM.
To determine if CGM could be an effective tool to titrate intravenous insulin infusion, Holzinger et al enrolled 124 medical ICU patients (24 DM, 100 non-DM) to undergo intravenous insulin titration based on nonblinded Guardian CGM versus arterial blood glucose (BG) with blinded CGM (CGMS System Gold) (both manufactured by Medtronic MiniMed, Northridge, CA).32 In the intervention group, nurses were instructed to take real-time glucose readings at least every 2 hours, at nursing discretion. Arterial BG values were checked every 1-2 hours in the control group. Study design aimed for target BG between 80 and 110 mg/dL. The primary end point was percentage of time at a glucose level <110 mg/dl. No difference was detected in percentage of time at a glucose level < 110 mg/dL (59.0 ± 20 vs 55.0 ± 18%, P = .245), mean interstitial glucose (106 ± 18 vs 111 ± 10 mg/dL, P = .08) and mean arterial BG (113 ± 14.3 vs 114 ± 11.0 mg/dL, P = .7), between treatment arms. Severe hypoglycemia (BG < 40 mg/dL) frequency was decreased in the nonblinded CGM group (1.6 vs 11.5% with blinded CGM, P = .03). To prevent one severe hypoglycemia episode, approximately 10 patients would need to use CGM. This study promotes decreased hypoglycemia frequency with ICU CGM, which has not been reliably demonstrated in other published reports.
Appraising the use of CGM in patients receiving intravenous insulin, De Block et al randomized 35 cardiosurgical ICU patients to nonblinded or blinded GlucoDay CGM for 96 hours.33 The primary outcome, percentage time within target BG (80-110 mg/dL), did not improve with nonblinded CGM (37 ± 12% vs 34 ± 10% with blinded CGM, P = ns). While hypoglycemia (glucose < 60 mg/dL) frequency (0.3 ± 0.5 vs 0.5 ± 0.6 events per 24 hours with blinded CGM, p = ns) was not reduced, there was a trend toward less time spent hypoglycemic with nonblinded CGM (0.6 ± 1.6% vs 2.4 ± 4.3% time hypoglycemic with blinded CGM, P = ns). Moreover, there was a trend toward fewer subjects experiencing hypoglycemia with nonblinded CGM (3 vs 9 subjects with blinded CGM, P = .07).
Kopecky et al randomized 12 post–cardiac surgery patients to use nonblinded Guardian CGM vs arterial BG monitoring to titrate intravenous insulin therapy using a proprietary automated treatment algorithm.34 Guardian CGM interstitial glucose values were input into the insulin infusion protocol every 15 minutes. While this study demonstrated ICU CGM accuracy and reliability, it did not demonstrate improved mean glucose (111.6 ± 1.8 vs 109.8 ± 10.8 mg/dL, P = ns), nor improve time spent in and above target range (46.3 ± 5.5 vs 46.2 ± 6.5 and 40.6 ± 5.9 vs 38.4 ± 5.1% of time, P = ns). There was a trend, albeit not statistically significant, toward decreased time below target, defined as glucose < 79 mg/dL (15.4 ± 2.4 vs 13.1 ± 2.6% of time with CGM, P = ns). No severe hypoglycemic (< 52 mg/dL) episodes occurred in the CGM group, compared to 2 episodes in the control group.
Logtenberg et al also studied CGM in the cardiac surgery population. 31 cardiac surgery subjects were randomized to blinded versus nonblinded Paradigm CGM (Medtronic MiniMed, Northridge, CA) one day prior to surgical intervention.35 Outcome measures included mean glucose and percentage time spent in different glucose ranges in the preoperative, postoperative ICU, and postoperative ward setting. No significant difference in preoperative mean interstitial glucose was found, 117 ± 36 vs 111.6 ± 16.2 mg/dL with blinded CGM (P = .51). Postoperative mean interstitial glucose improved with nonblinded CGM, 117 ± 14.4 vs 138.6 ± 27 mg/dL with blinded CGM (P = .015). There was no significant difference in time spent hypoglycemic in the postoperative setting (P value not provided). As tight postoperative glycemic control improves cardiac surgery outcomes,36,37 this study promotes ICU CGM use as feasible and may be beneficial in the postoperative period.35
In the setting of acute coronary syndrome, CGM was assessed by measuring time-to-target glucose in 16 subjects who were administered intravenous insulin for 48 hours.38 Eight subjects used nonblinded Guardian CGM, checked every hour, to titrate insulin infusion each hour. Eight control subjects had insulin infusion titrated by capillary BG, which was checked every four hours. Target glucose was defined as ≤ 140 mg/dl. One hypoglycemic episode (glucose ≤ 70 mg/dL) occurred in the control group. The CGM group achieved target glucose levels within 5.7 ± 3.1 vs 13 ± 7 hours in the control group (P = .02). This study is limited by infrequent BG checks in the control group. Most intravenous insulin protocols check glucose every 1-2 hours depending on clinical stability and intravenous insulin duration.39 This study promotes ICU CGM to decrease time-to-target glycemic control, thus limiting subsequent morbidity.
ICU CGM utilization is hypothesized to improve nursing efficiency and hypoglycemia detection. Boom et al recruited from a mixed medical-surgical ICU, randomizing 177 subjects to either blinded or nonblinded FreeStyle Navigator CGM (Abbott Diabetes Care, Alameda, CA) to guide insulin treatment.40 Among the group, 39 subjects had DM (18 in the nonblinded CGM group, 21 in the blinded CGM group). Target glucose was defined as 90-162 mg/dL, with glycemic threshold alarms triggered in the nonblinded CGM group when glucose levels were outside of this range. Arterial BG checks were performed six times daily. Outcome measures included mean glucose, length of stay, mortality, incidence of glycemic excursions and percentage time within target range. Severe hypoglycemia (<40 mg/dL) incidence was similar in both groups (P = 1.0). A total of four severe hypoglycemia events occurred in the blinded CGM group, occurring between arterial BG checks, only detected on retrospective CGM review. There was no difference detected in mean capillary glucose (147.6 vs 149.4 mg/dL, P = .53), percentage time spent in target range (69 vs 66%, P = .47), mean hospital length of stay (15 vs 14 days, P = .91), or hospital mortality (28 vs 22%, P = .46) between treatment arms. ICU nurses spent 19 fewer minutes and saved 12 euros each day in the nonblinded CGM group, compared to control, providing a mild time and financial benefit, not demonstrated in published reports.23,41
Non-ICU CGM Studies
Commonly, patients continue to use their personal CGM device when admitted to the hospital.42 While a limited number of observational studies have retrospectively evaluated glucose patterns in the non-ICU setting with blinded CGM, randomized nonblinded CGM studies have not been conducted to date (Table 2).
Table 2.
Ref | Service | CGM device | # patients | Outcome |
|
---|---|---|---|---|---|
Hypoglycemia | Glycemic target | ||||
42 | Medicine/surgery | CGMS System Gold, blind vs capillary testing | T2DM = 23 T1DM = 3 |
9 hypoglycemic episodes were detected exclusively by CGM; capillary testing only detected 1 hypoglycemic episode during study duration | No difference in mean daily glucose, CGM vs capillary glucose (172.8 ± 43.2 vs 172.8 ± 48.6 mg/dL, P = ns) |
43 | General ward | iPro2, blind vs Capillary testing | T2DM = 84 | CGM detected 15× more nocturnal hypoglycemia than capillary glucose testing (4 vs 62, P value not provided) | Target glucose duration increased from study start to end for both CGM and capillary groups (P < .04): Study start date: 67.7%/67.2% (CGM/BG) Study end date: 77.5%/78.6% (CGM/BG) |
44 | Medicine | iPro2, blind vs capillary testing | T2DM = 38 | (1) CGM detected more hypoglycemic episodes than capillary testing (55 vs 12, P = .001) (2) CGM detected more asymptomatic hypoglycemia episodes than capillary testing (13 vs 1, P = .004) |
No difference in mean daily glucose after study day 1, CGM vs capillary testing (176.2 ± 33.9 vs 176.6 ± 33.7 mg/dL, P = ns) |
T1DM, type 1 Diabetes Mellitus; T2DM, type 2 Diabetes Mellitus.
Past studies have examined CGM primarily in type 2 diabetes mellitus (T2DM) patients, not T1DM. An Australian observational study of 26 adult DM patients (23 T2DM, 3 T1DM, 69% male, BMI 33 ± 12 kg/m2), treated with basal-bolus insulin during hospitalization, used blinded CGMS System Gold in medical and surgical general wards.43 The authors hypothesized that fingerstick BG would underestimate mean glucose concentration. However, mean glucose was similar between interstitial and capillary monitoring (172.8 ± 43.2 mg/dL vs 172.8 ± 48.6 mg/dL with capillary testing, P = .84). Ten hypoglycemic episodes (glucose < 72 mg/dl) occurred during the study duration, nine of which were exclusively detected with CGM (not detected by capillary monitoring). Two of these were severe hypoglycemia (glucose < 54 mg/dL) episodes. This observational study demonstrates the potential benefit of non-ICU CGM to increase hypoglycemia detection.
CGM can be an effective tool for detecting occult nocturnal hypoglycemia in the non-ICU setting. Schaupp et al recruited 84 T2DM patients admitted to the general ward and applied a blinded iPro2 CGM device until hospital discharge, transfer to a different ward, or after 21 days.44 CGM (n = 140 424) and capillary glucose (n = 2066) data from the first and last days of study duration were reviewed retrospectively. The percentage of glucose values within target range, 70 to 180 mg/dL, was higher by the end of study duration: 67.7%/67.2% (CGM/capillary) glucose values were reported on day 1 of the study, compared to 77.5%/78.6% (CGM/capillary) on the last day (P < .04). Improved glycemic control was not due to increased hypoglycemia frequency, as 2.6%/1.7% (CGM/capillary) glucose values were in the hypoglycemic range (glucose <70 mg/dL) on day 1, compared to 2.8%/1.2% (CGM/capillary) on the last day (p > 0.2). A 15-fold increase in nocturnal hypoglycemia was detected by CGM, compared to capillary testing. Moreover, there was a 12.5-fold increase in hyperglycemia (glucose > 250 mg/dL) detected by CGM, compared to capillary testing. This study promotes non-ICU CGM as a means to more adequately detect glucose trends, especially occult hypoglycemic episodes during admission.
A similar observational study recruited 38 adult T2DM subjects to use blinded iPro2 CGM, with retrospective review of interstitial data.45 All subjects were administered basal-bolus insulin during admission. Capillary testing was performed preprandial, 2-hour postprandial, at bedtime, and 3 AM. As in the prior study, CGM detected more hypoglycemia than capillary testing (55 vs 12 hypoglycemic episodes detected by capillary BG, P < .01).
Discussion
Many advocate to further study inpatient CGM, in both the ICU and non-ICU settings.42,46-55 There are few randomized trials on this topic. A 2017 ICU CGM review was published in Sensors, highlighting CGM accuracy, effectivity, and the limitations of these studies, such as using CGM readings in different manners (as a prompt to check arterial BG vs additional input into insulin treatment algorithm) and poor accuracy when hypoglycemic (elevated mean absolute relative difference). These limitations may prevent generalizability.55 While the Sensors review focused on ICU CGM, we also highlighted the limited number of non-ICU CGM studies, a setting where there is less frequent patient monitoring.43-45,56,57
Non-ICU patients, especially T1DM patients with a high likelihood of labile inpatient glycemic control58 and hypoglycemic unawareness, may benefit most from CGM. In general, the non-ICU studies reflect increased hypoglycemia detection with CGM (Table 2). This effect would likely be amplified if studied in a larger non-ICU T1DM population. More effort should be made to recruit T1DM subjects for future inpatient CGM studies.
The T2DM non-ICU studies all report increased hypoglycemia detection with CGM, reflecting the potential benefits to be gained from widespread inpatient CGM adoption. The expectation is that results from T2DM studies should extrapolate to T1DM. In 2016, we demonstrated successful initiation and prevention of hypoglycemia with nonblinded CGM for a non-ICU inpatient with T1DM.56 Only one other case report documents T1DM CGM initiation in the non-ICU setting, albeit blinded.57
The majority of ICU CGM studies use established protocols for intravenous insulin infusion,32-34,38 in which capillary BG is usually monitored hourly, which may obviate the need for subcutaneous CGM. Hyperglycemic ICU patients not receiving continuous insulin infusion may benefit from CGM, as they are less likely to receive frequent glycemic monitoring. In these patients, CGM could be used as an additional vital sign.48 While CGM could be limited by the lag time between interstitial and capillary glucose before detecting glycemic excursions,59 Schaupp et al have demonstrated the ability of CGM to predict glycemia 20-30 minutes in the future in a cardiothoracic surgery population via simple linear extrapolation.60 In addition, we hold out hope that CGM could be beneficial in the ICU, as these patients are likely at higher risk for glucose variability, in the setting of significant stress and numerous medications. The studies discussed in this review do not evaluate glycemic variability in the context of inpatient CGM. If evaluated in future inpatient CGM studies, it’s possible that there could be decreased glycemic variability. Increased mortality has been associated with increased ICU glycemic variability previously.61-63
CGM devices specifically developed for the hospital setting such as the Medtronic Hospital Glucose Management System (renamed Sentrino CGM), which attaches to a bedside monitor displaying glucose values every minute, may overcome inpatient barriers, although not in widespread use. Currently, the Sentrino CGM device is one of the few systems approved in Europe, not the United States, for inpatient use.53,64
In a well-designed clinical trial, accounting for CGM inaccuracy, glycemic excursion false positives and negatives, sample size, and study duration, CGM glycemic data can be used as a meaningful outcome measure.65 Comparison of the glycemic outcomes of the aforementioned ICU studies may be difficult, as different variables were evaluated, including different CGM manufacturers, blind and nonblind CGM use, in addition to different patient populations (DM and non-DM subjects).
There are functional limitations when using CGM for hospitalized patients. The CGM device is supposed to be discontinued during MRI or CT scanning, nor should it be used when administering acetaminophen due to chemical interference.66 The effect of ketoacidosis and lactic acidosis on CGM has not been studied.22 It may be difficult to calibrate the CGM device during an admission, in the setting of multiple comorbidities. It should be noted that a capillary blood sample might cause inaccurate CGM calibration if taken from a site of tissue edema or low perfusion. Moreover, CGM calibration should only occur during a period of glycemic stability.48,67
Summary
A limited number of studies have evaluated glycemic outcomes in the inpatient setting. In the non-ICU setting, CGM detects hypoglycemia at a greater frequency than capillary BG testing. In the ICU, CGM may not improve glycemic outcomes when patients are receiving intravenous insulin administration, which already requires frequent glucose monitoring. There are significant design differences in the ICU CGM studies, which may hinder the results. Additional studies are needed using nonblinded CGM and in patients with T1DM.
Footnotes
Abbreviations: BG, blood glucose; CGM, continuous glucose monitoring; DM, diabetes mellitus; ICU, intensive care unit; T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus.
Declaration of Conflicting Interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: EKS has received research support (supplies) from DEXCOM for conducting inpatient studies.
Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.
References
- 1. Levetan CS, Passaro M, Jablonski K, Kass M, Ratner RE. Unrecognized diabetes among hospitalized patients. Diabetes Care. 1998;21(2):246-249. [DOI] [PubMed] [Google Scholar]
- 2. Umpierrez GE, Isaacs SD, Bazargan N, You X, Thaler LM, Kitabchi AE. Hyperglycemia: an independent marker of in-hospital mortality in patients with undiagnosed diabetes. J Clin Endocrinol Metab. 2002;87(3):978-982. [DOI] [PubMed] [Google Scholar]
- 3. Draznin B, Gilden J, Golden SH, PRIDE Investigators. Pathways to quality inpatient management of hyperglycemia and diabetes: a call to action. Diabetes Care. 2013;36(7):1807-1814. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. American Diabetes Association. Economic costs of diabetes in the U.S. in 2007. Diabetes Care. 2008;31(3):596-615. [DOI] [PubMed] [Google Scholar]
- 5. American Diabetes Association. Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 2013;36(4):1033-1046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Mendez CE, Mok KT, Ata A, Tanenberg RJ, Calles-Escandon J, Umpierrez GE. Increased glycemic variability is independently associated with length of stay and mortality in noncritically ill hospitalized patients. Diabetes Care. 2013;36(12):4091-4097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Cook CB, Kongable GL, Potter DJ, Abad VJ, Leija DE, Anderson M. Inpatient glucose control: a glycemic survey of 126 U.S. hospitals. J Hosp Med. 2009;4(9):E7-E14. [DOI] [PubMed] [Google Scholar]
- 8. Umpierrez GE, Hellman R, Korytkowski MT, et al. Management of hyperglycemia in hospitalized patients in non-critical care setting: an endocrine society clinical practice guideline. J Clin Endocrinol Metab. 2012;97(1):16-38. [DOI] [PubMed] [Google Scholar]
- 9. Ata A, Lee J, Bestle SL, Desemone J, Stain SC. Postoperative hyperglycemia and surgical site infection in general surgery patients. Arch Surg. 2010;145(9):858-864. [DOI] [PubMed] [Google Scholar]
- 10. Monteiro S, Monteiro P, Goncalves F, Freitas M, Providencia LA. Hyperglycaemia at admission in acute coronary syndrome patients: prognostic value in diabetics and non-diabetics. Eur J Cardiovasc Prev Rehabil. 2010;17(2):155-159. [DOI] [PubMed] [Google Scholar]
- 11. Li DB, Hua Q, Guo J, Li HW, Chen H, Zhao SM. Admission glucose level and in-hospital outcomes in diabetic and non-diabetic patients with ST-elevation acute myocardial infarction. Intern Med. 2011;50(21):2471-2475. [DOI] [PubMed] [Google Scholar]
- 12. Castellanos MR, Szerszen A, Saifan C, et al. Fasting hyperglycemia upon hospital admission is associated with higher pneumonia complication rates among the elderly. Int Arch Med. 2010;3:16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Moghissi ES, Korytkowski MT, DiNardo M, et al. American Association of Clinical Endocrinologists and American Diabetes Association consensus statement on inpatient glycemic control. Diabetes Care. 2009;32(6):1119-1131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Wexler DJ, Meigs JB, Cagliero E, Nathan DM, Grant RW. Prevalence of hyper- and hypoglycemia among inpatients with diabetes: a national survey of 44 U.S. hospitals. Diabetes Care. 2007;30(2):367-369. [DOI] [PubMed] [Google Scholar]
- 15. Umpierrez GE, Smiley D, Zisman A, et al. Randomized study of basal-bolus insulin therapy in the inpatient management of patients with type 2 diabetes (RABBIT 2 trial). Diabetes Care. 2007;30(9):2181-2186. [DOI] [PubMed] [Google Scholar]
- 16. Umpierrez GE, Smiley D, Jacobs S, et al. Randomized study of basal-bolus insulin therapy in the inpatient management of patients with type 2 diabetes undergoing general surgery (RABBIT 2 surgery). Diabetes Care. 2011;34(2):256-261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. NICE-SUGAR Study Investigators. Intensive versus conventional glucose control in critically ill patients. N Engl J Med. 2009;360(13):1283-1297. [DOI] [PubMed] [Google Scholar]
- 18. NICE-SUGAR Study Investigators. Hypoglycemia and risk of death in critically ill patients. N Engl J Med. 2012;367(12):1108-1118. [DOI] [PubMed] [Google Scholar]
- 19. Lee SY, Askin G, McDonnell ME, Arnold LM, Alexanian SM. Hypoglycemia rates after restriction of high-dose glargine in hospitalized patients. Endocr Pract. 2016;22(12):1393-1400. [DOI] [PubMed] [Google Scholar]
- 20. Paulus AO, Colburn JA, True MW, et al. Evaluation of total daily dose and glycemic control for patients taking U-500 regular insulin admitted to the hospital. Endocr Pract. 2016;22(10):1187-1191. [DOI] [PubMed] [Google Scholar]
- 21. Wang YJ, Seggelke S, Hawkins RM, et al. Impact of glucose management team on outcomes of hospitalization in patients with type 2 diabetes admitted to the medical service. Endocr Pract. 2016;22(12):1401-1405. [DOI] [PubMed] [Google Scholar]
- 22. Klonoff DC, Buckingham B, Christiansen JS, et al. Continuous glucose monitoring: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2011;96(10):2968-2979. [DOI] [PubMed] [Google Scholar]
- 23. Wollersheim T, Engelhardt LJ, Pachulla J, et al. Accuracy, reliability, feasibility and nurse acceptance of a subcutaneous continuous glucose management system in critically ill patients: a prospective clinical trial. Ann Intensive Care. 2016;6(1):70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Ballesteros D, Martinez O, Blancas Gomez-Casero R, et al. Continuous tissue glucose monitoring correlates with measurement of intermittent capillary glucose in patients with distributive shock. Med Intensiva. 2015;39(7):405-411. [DOI] [PubMed] [Google Scholar]
- 25. van Hooijdonk RT, Leopold JH, Winters T, et al. Point accuracy and reliability of an interstitial continuous glucose-monitoring device in critically ill patients: a prospective study. Crit Care. 2015;19:34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Leelarathna L, English SW, Thabit H, et al. Accuracy of subcutaneous continuous glucose monitoring in critically ill adults: improved sensor performance with enhanced calibrations. Diabetes Technol Ther. 2014;16(2):97-101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Lorencio C, Leal Y, Bonet A, et al. Real-time continuous glucose monitoring in an intensive care unit: better accuracy in patients with septic shock. Diabetes Technol Ther. 2012;14(7):568-575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Siegelaar SE, Barwari T, Hermanides J, Stooker W, van der Voort PH, DeVries JH. Accuracy and reliability of continuous glucose monitoring in the intensive care unit: a head-to-head comparison of two subcutaneous glucose sensors in cardiac surgery patients. Diabetes Care. 2011;34(3):e31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Corstjens AM, Ligtenberg JJ, van der Horst IC, et al. Accuracy and feasibility of point-of-care and continuous blood glucose analysis in critically ill ICU patients. Crit Care. 2006;10(5):R135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Goldberg PA, Siegel MD, Russell RR, et al. Experience with the continuous glucose monitoring system in a medical intensive care unit. Diabetes Technol Ther. 2004;6(3):339-347. [DOI] [PubMed] [Google Scholar]
- 31. Holzinger U, Warszawska J, Kitzberger R, Herkner H, Metnitz PG, Madl C. Impact of shock requiring norepinephrine on the accuracy and reliability of subcutaneous continuous glucose monitoring. Intensive Care Med. 2009;35(8):1383-1389. [DOI] [PubMed] [Google Scholar]
- 32. Holzinger U, Warszawska J, Kitzberger R, et al. Real-time continuous glucose monitoring in critically ill patients: a prospective randomized trial. Diabetes Care. 2010;33(3):467-472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. De Block CE, Gios J, Verheyen N, et al. Randomized evaluation of glycemic control in the medical intensive care unit using real-time continuous glucose monitoring (REGIMEN Trial). Diabetes Technol Ther. 2015;17(12):889-898. [DOI] [PubMed] [Google Scholar]
- 34. Kopecky P, Mraz M, Blaha J, et al. The use of continuous glucose monitoring combined with computer-based eMPC algorithm for tight glucose control in cardiosurgical ICU. Biomed Res Int. 2013;2013:186439. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Logtenberg SJ, Kleefstra N, Snellen FT, et al. Pre- and postoperative accuracy and safety of a real-time continuous glucose monitoring system in cardiac surgical patients: a randomized pilot study. Diabetes Technol Ther. 2009;11(1):31-37. [DOI] [PubMed] [Google Scholar]
- 36. van den Berghe G, Wouters P, Weekers F, et al. Intensive insulin therapy in critically ill patients. N Engl J Med. 2001;345(19):1359-1367. [DOI] [PubMed] [Google Scholar]
- 37. Furnary AP, Wu Y. Clinical effects of hyperglycemia in the cardiac surgery population: the Portland Diabetic Project. Endocr Pract. 2006;12(suppl 3):22-26. [DOI] [PubMed] [Google Scholar]
- 38. Rodriguez-Quintanilla KA, Lavalle-Gonzalez FJ, Mancillas-Adame LG, Zapata-Garrido AJ, Villarreal-Perez JZ, Tamez-Perez HE. Continuous glucose monitoring in acute coronary syndrome. Arch Cardiol Mex. 2013;83(4):237-243. [DOI] [PubMed] [Google Scholar]
- 39. Goldberg PA, Siegel MD, Sherwin RS, et al. Implementation of a safe and effective insulin infusion protocol in a medical intensive care unit. Diabetes Care. 2004;27(2):461-467. [DOI] [PubMed] [Google Scholar]
- 40. Boom DT, Sechterberger MK, Rijkenberg S, et al. Insulin treatment guided by subcutaneous continuous glucose monitoring compared to frequent point-of-care measurement in critically ill patients: a randomized controlled trial. Crit Care. 2014;18(4):453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Jacobs B, Phan K, Bertheau L, Dogbey G, Schwartz F, Shubrook J. Continuous glucose monitoring system in a rural intensive care unit: a pilot study evaluating accuracy and acceptance. J Diabetes Sci Technol. 2010;4(3):636-644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Wallia A, Umpierrez GE, Nasraway SA, Klonoff DC, PRIDE Investigators. Round table discussion on inpatient use of continuous glucose monitoring at the International Hospital Diabetes Meeting. J Diabetes Sci Technol. 2016;10(5):1174-1181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Burt MG, Roberts GW, Aguilar-Loza NR, Stranks SN. Brief report: Comparison of continuous glucose monitoring and finger-prick blood glucose levels in hospitalized patients administered basal-bolus insulin. Diabetes Technol Ther. 2013;15(3):241-245. [DOI] [PubMed] [Google Scholar]
- 44. Schaupp L, Donsa K, Neubauer KM, et al. Taking a closer look—continuous glucose monitoring in non-critically ill hospitalized patients with type 2 diabetes mellitus under basal-bolus insulin therapy. Diabetes Technol Ther. 2015;17(9):611-618. [DOI] [PubMed] [Google Scholar]
- 45. Gomez AM, Umpierrez GE, Munoz OM, et al. Continuous glucose monitoring versus capillary point-of-care testing for inpatient glycemic control in type 2 diabetes patients hospitalized in the general ward and treated with a basal bolus insulin regimen. J Diabetes Sci Technol. 2015;10(2):325-329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Fahy BG, Coursin DB. An analysis: hyperglycemic intensive care patients need continuous glucose monitoring-easier said than done. J Diabetes Sci Technol. 2008;2(2):201-204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. De Block C, Manuel-y-Keenoy B, Rogiers P, Jorens P, Van Gaal L. Glucose control and use of continuous glucose monitoring in the intensive care unit: a critical review. Curr Diabetes Rev. 2008;4(3):234-244. [DOI] [PubMed] [Google Scholar]
- 48. Joseph JI, Hipszer B, Mraovic B, Chervoneva I, Joseph M, Grunwald Z. Clinical need for continuous glucose monitoring in the hospital. J Diabetes Sci Technol. 2009;3(6):1309-1318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Mraovic B. Analysis: continuous glucose monitoring during intensive insulin therapy. J Diabetes Sci Technol. 2009;3(4):960-963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Gomez AM, Umpierrez GE. Continuous glucose monitoring in insulin-treated patients in non-ICU settings. J Diabetes Sci Technol. 2014;8(5):930-936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Wernerman J, Desaive T, Finfer S, et al. Continuous glucose control in the ICU: report of a 2013 round table meeting. Crit Care. 2014;18(3):226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Dungan KM. Continuous glucose monitoring use in hospitalized patients. Diabetes Technol Ther. 2015;17(9):600-602. [DOI] [PubMed] [Google Scholar]
- 53. Joseph JI, Torjman MC, Strasma PJ. Vascular glucose sensor symposium: continuous glucose monitoring systems (CGMS) for hospitalized and ambulatory patients at risk for hyperglycemia, hypoglycemia, and glycemic variability. J Diabetes Sci Technol 2015;9(4):725-738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Preiser JC, Chase JG, Hovorka R, et al. Glucose control in the ICU: a continuing story. J Diabetes Sci Technol. 2016;10(6):1372-1381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. van Steen SC, Rijkenberg S, Limpens J, van der Voort PH, Hermanides J, DeVries JH. The clinical benefits and accuracy of continuous glucose monitoring systems in critically ill patients—a systematic scoping review. Sensors (Basel). 2017;17(1):E146. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Levitt DL, Silver KD, Spanakis EK. Mitigating severe hypoglycemia by initiating inpatient continuous glucose monitoring for type 1 diabetes mellitus: a case report. J Diabetes Sci Technol. 2016. pii: 1932296816664538 [Epub ahead of print]. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Ryan MT, Savarese VW, Hipszer B, et al. Continuous glucose monitor shows potential for early hypoglycemia detection in hospitalized patients. Diabetes Technol Ther. 2009;11(11):745-747. [DOI] [PubMed] [Google Scholar]
- 58. Yogi-Morren D, Lansang MC. Management of patients with type 1 diabetes in the hospital. Curr Diab Rep. 2014;14(2):458. [DOI] [PubMed] [Google Scholar]
- 59. Scuffi C, Lucarelli F, Valgimigli F. Minimizing the impact of time lag variability on accuracy evaluation of continuous glucose monitoring systems. J Diabetes Sci Technol. 2012;6(6):1383-1391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Schaupp L, Plank J, Kohler G, et al. Prediction of glucose concentration in post-cardiothoracic surgery patients using continuous glucose monitoring. Diabetes Technol Ther. 2011;13(2):127-134. [DOI] [PubMed] [Google Scholar]
- 61. Egi M, Bellomo R, Stachowski E, French CJ, Hart G. Variability of blood glucose concentration and short-term mortality in critically ill patients. Anesthesiology. 2006;105(2):244-252. [DOI] [PubMed] [Google Scholar]
- 62. Ali NA, O’Brien JM, Jr, Dungan K, et al. Glucose variability and mortality in patients with sepsis. Crit Care Med. 2008;36(8):2316-2321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Meynaar IA, Eslami S, Abu-Hanna A, van der Voort P, de Lange DW, de Keizer N. Blood glucose amplitude variability as predictor for mortality in surgical and medical intensive care unit patients: a multicenter cohort study. J Crit Care. 2012;27(2):119-124. [DOI] [PubMed] [Google Scholar]
- 64. Kosiborod M, Gottlieb RK, Sekella JA, et al. Performance of the Medtronic Sentrino continuous glucose management (CGM) system in the cardiac intensive care unit. BMJ Open Diabetes Res Care. 2014;2(1):e000037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Beck RW, Calhoun P, Kollman C. Use of continuous glucose monitoring as an outcome measure in clinical trials. Diabetes Technol Ther. 2012;14(10):877-882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Food and Drug Administration. CGM summary of safety and effectiveness data. 2014. Available at: http://www.accessdata.fda.gov/cdrh_docs/pdf12/P120005S018b.pdf. Accessed June 18, 2016.
- 67. Lodwig V, Heinemann L, Glucose Monitoring Study Group. Continuous glucose monitoring with glucose sensors: calibration and assessment criteria. Diabetes Technol Ther. 2003;5(4):572-586. [DOI] [PubMed] [Google Scholar]