Managing Diabetes and Hyperglycemia in the Hospital Setting. Boris Draznin. Читать онлайн. Newlib. NEWLIB.NET

Автор: Boris Draznin
Издательство: Ingram
Серия:
Жанр произведения: Медицина
Год издания: 0
isbn: 9781580406574
Скачать книгу
of stress hyperglycemia

      • Diabetes, having stress-induced exacerbation of chronic hyperglycemia, or having physiology of stress hyperglycemia

      Additionally, it is important to recognize other physiologic markers such as lactate elevation and to include adjustment for severity of illness such as the Apache II score in comparative analyses. It is conceivable, although not specifically suggested by the evidence, that some form of “early worsening” could result from overly aggressive correction. Randomized trials would be needed to attempt to discern optimal levels of glycemia in relation to preadmission glycemic control of diabetes, according to comorbidities.

      We believe that advances in technology for monitoring and treatment may improve our ability to achieve and maintain specific targets, permitting effective randomization in clinical trials that are designed to test hypotheses related to condition-specific assignment of glycemic targets.1,73 After further study, if the impression that hyperglycemia should be approached cautiously according to preadmission HbA1c elevations is upheld, then one approach would be that hospitalized patients with uncontrolled diabetes should have higher glycemic targets for the short term than other patients hospitalized with the same conditions. An alternative approach would be that the universal targets, if applicable, should be approached more slowly for patients with uncontrolled diabetes. On the other hand, a strong case can be made that before elective surgery, glycemic control should be optimized safely, in the ambulatory setting.

      Table 3.4

Patient group Therapeutic blood glucose target, mg/dL
Without diabetes 140–200
With diabetes, HbA1c <7% 140–200
With diabetes, HbA1c ≥7% 160–220
Cardiac surgery, without diabetes 140–180
Cardiac surgery, with diabetes, HbA1c <7% 140–180
Cardiac surgery, with diabetes, HbA1c ≥7% 160–200

      Conclusion

      Observational data suggest that glycemic variability may be an independent predictor of adverse hospital outcomes. To confirm a causal relationship between variability and outcomes, interventional trials are required that have the capability of randomizing patients to greater or lesser variability while maintaining similar mean glycemia. Methods for future research and treatment might include improvements in glycemic monitoring and insulin delivery algorithms, as well as non-insulin-based therapeutic interventions, including incretin-based therapies. It is hoped that improvement in therapeutic regulation of glycemic control will be capable of reducing glycemic variability. Importantly, at the present time, providers may have relatively little control over glycemic variability.

      In contrast, the actions of providers may determine whether or not patients experience acute correction of chronic hyperglycemia. In the presence of diabetes, chronic hyperglycemia may increase the risk for adverse outcomes, especially for patients considering elective surgery. For some outcomes among critically ill populations, however, the impact of chronic hyperglycemia in the presence of diabetes may be less than the impact of stress hyperglycemia of comparable magnitude among patients without diabetes. Any mechanisms of harms from rapid correction are unknown at this time, but they would not necessarily be limited to harms of the concomitant risk of hypoglycemia. Harms from rapid correction of chronic hyperglycemia are not yet proven to outweigh potential benefits. The balance between harms (if any) and benefits of rapid correction of chronic hyperglycemia are likely to differ according to comorbidities, concomitant therapies, site of care, and the underlying reasons for admission.

      We conclude that it is premature to establish specific cautionary guidelines about the correction of chronic hyperglycemia for hospitalized patients with diabetes, but acknowledge evidence suggestive that these guidelines could differ from recommendations for the general population. Analysis will be complex, with due consideration for the importance of glycemic control to concomitant medical conditions, in the presence of diabetes. A take-home message may be that caregivers should “stay tuned” to personalized glycemic targets in the hospital and, for now, should ascertain the HbA1c or indicators of preadmission glycemic control and at least consider the results when individualizing patient care plans.

      References

      1. Krinsley JS. Glycemic control in the critically ill—3 domains and diabetic status means one size does not fit all! Crit Care 2013;17(2):131

      2. 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

      3. Krinsley JS. Glycemic variability: a strong independent predictor of mortality in critically ill patients. Crit Care Med 2008;36(11):3008–3013

      4. Krinsley JS. Glycemic variability and mortality in critically ill patients: the impact of diabetes. J Diabetes Sci Technol 2009;3(6):1292–1301

      5. Hermanides J, Vriesendorp TM, Bosman RJ, Zandstra DF, Hoekstra JB, DeVries JH. Glucose variability is associated with intensive care unit mortality. Crit Care Med 2010;38(3):838–842

      6. Mackenzie IM, Whitehouse T, Nightingale PG. The metrics of glycaemic control in critical care. Intensive Care Med 2011;37(3):435–443

      7. Lipska KJ, Venkitachalam L, Gosch K, Kovatchev B, Van den Berghe G, Meyfroidt G, et al. Glucose variability and mortality in patients hospitalized with acute myocardial infarction. Circ Cardiovasc Qual Outcomes 2012;5(4):550–557

      8. 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

      9. Krinsley JS, Egi M, Kiss A, Devendra AN, Schuetz P, Maurer PM, et al. Diabetic status and the relation of the three domains of glycemic control to mortality in critically ill patients: an international multicenter cohort study. Crit Care 2013;17(2):R37

      10. 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

      11. Farrokhi F, Chandra P, Smiley D, Pasquel FJ, Peng L, Newton CA, et al. Glucose variability is an independent predictor of mortality in hospitalized patients treated with total parenteral nutrition. Endocr Pract 2014;20(1):41–45

      12. Braithwaite SS, Umpierrez GE, Chase JG. Multiplicative surrogate standard deviation: a group metric for the glycemic variability of individual hospitalized patients. J Diabetes Sci Technol 2013;7(5):1319–1327

      13. Braithwaite SS. Glycemic variability in hospitalized patients: choosing metrics while awaiting the evidence. Curr Diab Rep 2013;13(1):138–154

      14. Rodbard D. Clinical interpretation of indices of quality of glycemic control and glycemic variability. Postgrad Med 2011;123(4):107–118

      15. Rodbard D. Hypo- and hyperglycemia in relation to the mean, standard deviation, coefficient of variation, and nature of the glucose distribution. Diabetes Technol Ther 2012;14(10):868–876

      16. Rodbard D. The challenges of measuring glycemic variability. J Diabetes Sci Technol 2012;6(3):712–715

      17. Kovatchev B, Clarke W. Peculiarities of the continuous glucose monitoring data stream and their impact on developing closed-loop control technology. J Diabetes Sci Technol 2008;2(1):158–163

      18. Saur NM, Kongable GL, Holewinski S, O’Brien K,