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Kethireddy R, Gandhi D, Kichloo A, Patel L. Challenges in hyperglycemia management in critically ill patients with COVID-19. World J Crit Care Med 2022; 11:219-227. [PMID: 36051939 PMCID: PMC9305683 DOI: 10.5492/wjccm.v11.i4.219] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 08/10/2021] [Accepted: 05/08/2022] [Indexed: 02/06/2023] Open
Abstract
Hyperglycemia is commonly associated with adverse outcomes especially in patients requiring intensive care unit stay. Data from the corona virus disease 2019 (COVID-19) pandemic indicates that individuals with diabetes appear to be at similar risk for COVID-19 infection to those without diabetes but are more likely to experience increased morbidity and mortality. The proposed hypothesis for hyperglycemia in COVID-19 include insulin resistance, critical illness hyperglycemia (stress- induced hyperglycemia) secondary to high levels of hormones like cortisol and catecholamines that counteract insulin action, acute cytokine storm and pancreatic cell dysfunction. Diabetic patients are more likely to have severe hyperglycemic complications including diabetic ketoacidosis and hyperosmolar hyperglycemic state. Management of hyperglycemia in COVID-19 is often complicated by use of steroids, prolonged total parenteral or enteral nutrition, frequent acute hyperglycemic events, and restrictions with fluid management due to acute respiratory distress syndrome. While managing hyperglycemia special attention should be paid to mode of insulin delivery, frequency of glucose monitoring based on patient and caregiver safety thereby minimizing exposure and conserving personal protective equipment. In this article we describe the pathophysiology of hyperglycemia, challenges encountered in managing hyperglycemia, and review some potential solutions to address them.
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Affiliation(s)
- Rajesh Kethireddy
- Division of Hospital Medicine, Abbott Northwestern Hospital, Allina Health, Minneapolis, MN 55407, United States
| | - Darshan Gandhi
- Department of Diagnostic Radiology, University of Tennessee Health Science Center, Memphis, TN 38103, United States
| | - Asim Kichloo
- Internal Medicine, Central Michigan University School of Medicine, Mt Pleasant, MI 48859, United States
| | - Love Patel
- Division of Hospital Medicine, Abbott Northwestern Hospital, Allina Health, Minneapolis, MN 55407, United States
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Khanwalker M, Fujita R, Lee J, Wilson E, Ito K, Asano R, Ikebukuro K, LaBelle J, Sode K. Development of a POCT type insulin sensor employing anti-insulin single chain variable fragment based on faradaic electrochemical impedance spectroscopy under single frequency measurement. Biosens Bioelectron 2021; 200:113901. [PMID: 34968857 DOI: 10.1016/j.bios.2021.113901] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/15/2021] [Accepted: 12/16/2021] [Indexed: 11/24/2022]
Abstract
To improve glycemic control managed through insulin administration, recent studies have focused on developing hand-held point-of-care testing (POCT) electrochemical biosensors for insulin measurement. Amongst them, anti-insulin IgG-based sensors show promise in detecting insulin with high specificity and sensitivity. However, fabrication of electrochemical sensors with IgG antibodies can prove challenging because of their larger molecular size. To overcome these limitations, this study focuses on utilizing the anti-insulin single chain variable fragment (scFv) as a biosensing molecule with single-frequency faradaic electrochemical impedance spectroscopy (EIS). By comparing two different immobilization methods, covalent conjugation via succinimidyl ester and non-covalent poly-histidine chelation, we demonstrated effective modification of the electrode surface with anti-insulin scFv, while retaining its specific recognition toward insulin. Sensor performance was confirmed via the concentration-dependent faradaic electrochemical impedance change using potassium ferricyanide as a redox probe. The optimal frequency for measurement was determined to be the peak slope of the calculated impedance correlation with respect to frequency. Based on the identified optimized frequency, we performed single-frequency measurement of insulin within a concentration range of 10 pM-100 nM. This study can aid in developing a future point-of-care sensor which rapidly and sensitively measures insulin across a dynamic range of physiological concentrations, with label-free detection.
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Affiliation(s)
- Mukund Khanwalker
- Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC27599, USA
| | - Rinko Fujita
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Jinhee Lee
- Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC27599, USA
| | - Ellie Wilson
- Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC27599, USA
| | - Kohei Ito
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Ryutaro Asano
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Kazunori Ikebukuro
- Department of Biotechnology and Life Science, Graduate School of Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Naka-cho, Koganei, Tokyo, 184-8588, Japan
| | - Jeffrey LaBelle
- Department of Bioengineering, College of Engineering Science and Technology, Grand Canyon University, Phoenix, AZ, AZ85017, USA
| | - Koji Sode
- Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC27599, USA.
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Abstract
Diabetes mellitus (DM) is one of the most common comorbid conditions in persons with COVID-19 and a risk factor for poor prognosis. The reasons why COVID-19 is more severe in persons with DM are currently unknown although the scarce data available on patients with DM hospitalized because of COVID-19 show that glycemic control is inadequate. The fact that patients with COVID-19 are usually cared for by health professionals with limited experience in the management of diabetes and the need to prevent exposure to the virus may also be obstacles to glycemic control in patients with COVID-19. Effective clinical care should consider various aspects, including screening for the disease in at-risk persons, education, and monitoring of control and complications. We examine the effect of COVID-19 on DM in terms of glycemic control and the restrictions arising from the pandemic and assess management of diabetes and drug therapy in various scenarios, taking into account factors such as physical exercise, diet, blood glucose monitoring, and pharmacological treatment. Specific attention is given to patients who have been admitted to hospital and critically ill patients. Finally, we consider the role of telemedicine in the management of DM patients with COVID-19 during the pandemic and in the future.
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Abstract
Diabetes is one of the most common comorbidities in hospitalized patients with coronavirus disease 2019 (COVID-19). Inpatient hyperglycemia during this pandemic has been associated with worse outcomes, so it is mandatory to implement effective glycemic control treatment approaches for inpatients with COVID-19. The shortage of personal protective equipment, the need to prevent staff exposure, or the fact that many of the healthcare professionals might be relatively unfamiliar with the management of hyperglycemia may lead to worse glycemic control and, consequently, a worse prognosis. In order to reduce these barriers, we intend to adapt established recommendations to manage hyperglycemia during this pandemic in critical and noncritical care settings.
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Affiliation(s)
- Virginia Bellido
- Department of Endocrinology and Nutrition, Cruces University Hospital, Vizcaya, Spain
- Biocruces Bizkaia Health Research Institute, Vizcaya, Spain
- University of the Basque Country (UPV/EHU), Vizcaya, Spain
| | - Antonio Pérez
- Department of Endocrinology and Nutrition, Santa Creu I Sant Pau Hospital, Barcelona, Spain.
- Sant Pau Institute of Biomedical Research, Barcelona, Spain.
- Autonomous University of Barcelona, Barcelona, Spain.
- CIBER de Diabetes Y Enfermedades Metabólicas Asociadas (CIBERDEM), Barcelona, Spain.
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Abstract
BACKGROUND Hyperglycemia is prevalent and is associated with an increase in morbidity and mortality in hospitalized patients. Insulin therapy is the most appropriate method for controlling glycemia in hospital, but is associated with increased risk of hypoglycemia, which is a barrier to achieving glycemic goals. AREAS OF UNCERTAINTY Optimal glycemic targets have not been established in the critical and noncritical hospitalized patients, and there are different modalities of insulin therapy. The primary purpose of this review is to discuss controversy regarding appropriate glycemic targets and summarize the evidence about the safety and efficacy of insulin therapy in critical and noncritical care settings. DATA SOURCES A literature search was conducted through PubMed with the following key words (inpatient hyperglycemia, inpatient diabetes, glycemic control AND critically or non-critically ill patient, Insulin therapy in hospital). RESULTS In critically ill patient, blood glucose levels >180 mg/dL may increase the risk of hospital complications, and blood glucose levels <110 mg/dL have been associated with an increased risk of hypoglycemia. Continuous intravenous insulin infusion is the best method for achieving glycemic targets in the critically ill patient. The ideal glucose goals for noncritically ill patients remain undefined and must be individualized according to the characteristics of the patients. A basal-bolus insulin strategy resulted in better glycemic control than sliding scale insulin and lower risk of hypoglycemia than premixed insulin regimen. CONCLUSIONS Extremes of blood glucose lead to poor outcomes, and target glucose range of 110-180 mg/dL may be appropriate for most critically ill patients and noncritically ill patients. Insulin is the most appropriate pharmacologic agent for effectively controlling glycemia in hospital. A continuous intravenous insulin infusion and scheduled basal-bolus-correction insulin are the preferred modalities for glycemic control in critically and noncritically ill hospitalized patients, respectively.
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Olveira G, Abuín J, López R, Herranz S, García-Almeida JM, García-Malpartida K, Ferrer M, Cancer E, Luengo-Pérez LM, Álvarez J, Aragón C, Ocón MJ, García-Manzanares Á, Bretón I, Serrano-Aguayo P, Pérez-Ferre N, López-Gómez JJ, Olivares J, Arraiza C, Tejera C, Martín JD, García S, Abad ÁL, Alhambra MR, Zugasti A, Parra J, Torrejón S, Tapia MJ. Regular insulin added to total parenteral nutrition vs subcutaneous glargine in non-critically ill diabetic inpatients, a multicenter randomized clinical trial: INSUPAR trial. Clin Nutr 2019; 39:388-394. [PMID: 30930133 DOI: 10.1016/j.clnu.2019.02.036] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 02/19/2019] [Accepted: 02/20/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND There is no established insulin regimen in T2DM patients receiving parenteral nutrition. AIMS To compare the effectiveness (metabolic control) and safety of two insulin regimens in patients with diabetes receiving TPN. DESIGN Prospective, open-label, multicenter, clinical trial on adult inpatients with type 2 diabetes on a non-critical setting with indication for TPN. Patients were randomized on one of these two regimens: 100% of RI on TPN or 50% of Regular insulin added to TPN bag and 50% subcutaneous GI. Data were analyzed according to intention-to-treat principle. RESULTS 81 patients were on RI and 80 on GI. No differences were observed in neither average total daily dose of insulin, programmed or correction, nor in capillary mean blood glucose during TPN infusion (165.3 ± 35.4 in RI vs 172.5 ± 43.6 mg/dL in GI; p = 0.25). Mean capillary glucose was significantly lower in the GI group within two days after TPN interruption (160.3 ± 45.1 in RI vs 141.7 ± 43.8 mg/dL in GI; p = 0.024). The percentage of capillary glucose above 180 mg/dL was similar in both groups. The rate of capillary glucose ≤70 mg/dL, the number of hypoglycemic episodes per 100 days of TPN, and the percentage of patients with non-severe hypoglycemia were significantly higher on GI group. No severe hypoglycemia was detected. No differences were observed in length of stay, infectious complications, or hospital mortality. CONCLUSION Effectiveness of both regimens was similar. GI group achieved better metabolic control after TPN interruption but non-severe hypoglycemia rate was higher in the GI group. CLINICAL TRIAL REGISTRY This trial is registered at clinicaltrials.gov as NCT02706119.
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Affiliation(s)
- Gabriel Olveira
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Spain; Universidad de Málaga, Spain; CIBERDEM (CB07/08/0019), Instituto de Salud Carlos III, Madrid, Spain.
| | - Jose Abuín
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Spain; Universidad de Málaga, Spain
| | - Rafael López
- Servicio de Endocrinología y Nutrición, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat (Barcelona), Spain
| | - Sandra Herranz
- Servicio de Endocrinología y Nutrición, Hospital Universitario de Guadalajara, Guadalajara, Spain
| | - Jose M García-Almeida
- Servicio de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain
| | | | - Mercedes Ferrer
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, Spain
| | - Emilia Cancer
- Sección de Endocrinología y Nutrición, Hospital Universitario de Fuenlabrada, Madrid, Spain
| | - Luis M Luengo-Pérez
- Servicio de Endocrinología y Nutrición, Hospital Universitario de Badajoz, Badajoz, Spain
| | - Julia Álvarez
- Servicio de Endocrinología y Nutrición, Hospital Universitario Príncipe de Asturias, Madrid, Spain
| | - Carmen Aragón
- Servicio de Endocrinología y Nutrición, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
| | - María J Ocón
- Servicio de Endocrinología y Nutrición, Hospital Universitario Lozano Blesa, Zaragoza, Spain
| | - Álvaro García-Manzanares
- Servicio de Endocrinología y Nutrición, Hospital General La Mancha Centro, Alcázar de San Juan, Spain
| | - Irene Bretón
- Servicio de Endocrinología y Nutrición, Hospital Universitario Gregorio Marañón, Madrid, Spain
| | - Pilar Serrano-Aguayo
- Unidad de Endocrinología y Nutrición, Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Natalia Pérez-Ferre
- Servicio de Endocrinología y Nutrición, Hospital Clínico San Carlos, Madrid, Spain
| | - Juan J López-Gómez
- Servicio de Endocrinología y Nutrición, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | - Josefina Olivares
- Servicio de Endocrinología y Nutrición, Hospital Universitario Son Llatzer, Illes Balears, Spain
| | - Carmen Arraiza
- Servicio de Endocrinología y Nutrición, Complejo Hospitalario de Jaén, Jaén, Spain
| | - Cristina Tejera
- Servicio de Endocrinología y Nutrición, Complejo Hospitalario Universitario de Ferrol, A Coruña, Spain
| | - Jorge D Martín
- Servicio de Endocrinología y Nutrición, Hospital Universitario Severo Ochoa, Leganés, Madrid, Spain
| | - Sara García
- Servicio de Endocrinología y Nutrición, Complejo Asistencial Universitario de León, León, Spain
| | - Ángel L Abad
- Unidad de Nutrición - Sección de Endocrinología, Hospital General Universitario de Alicante, Alicante, Spain
| | - María R Alhambra
- Servicio de Endocrinología y Nutrición, Hospital Universitario Reina Sofía, Córdoba, Spain
| | - Ana Zugasti
- Servicio de Endocrinología y Nutrición, Complejo Hospitalario de Navarra, Navarra, Spain
| | - Juan Parra
- Servicio de Endocrinología y Nutrición, Hospital de Mérida, Badajoz, Spain
| | - Sara Torrejón
- Servicio de Endocrinología y Nutrición, Hospital de Sant Joan Despí Moisès Broggi, Barcelona, Spain
| | - María J Tapia
- Unidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Spain
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