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Sreedharan R, Martini A, Das G, Aftab N, Khanna S, Ruetzler K. Clinical challenges of glycemic control in the intensive care unit: A narrative review. World J Clin Cases 2022; 10:11260-11272. [PMID: 36387820 PMCID: PMC9649548 DOI: 10.12998/wjcc.v10.i31.11260] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/15/2022] [Accepted: 09/27/2022] [Indexed: 02/05/2023] Open
Abstract
Glucose control in patient admitted to the intensive care unit has been a topic of much debate over the past 20 years. The harmful effects of uncontrolled hyperglycemia and hypoglycemia in critically ill patients is well established. Although a large clinical trial in 2001 demonstrated significant mortality and morbidity benefits with tight glucose control in this patient population, the results could not be replicated by other investigators. The “Normoglycemia in Intensive Care Evaluation-Survival Using Glucose Algorithm Regulation” trial in 2009 established that tight glucose control was not only of no benefit, but in fact harmful due to the significant risk of hypoglycemia. The current guidelines suggest a moderate approach with the initiation of intravenous insulin therapy in critically ill patients when the blood glucose level is above 180 mg/dL. The most important factor that underpins glycemic management in intensive care unit patients is the consequent prevention of hypoglycemia. Robust glucose monitoring strategies and insulin protocols need to be implemented in order to achieve this goal.
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Affiliation(s)
- Roshni Sreedharan
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Adriana Martini
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Gyan Das
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Nida Aftab
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Sandeep Khanna
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Kurt Ruetzler
- Anesthesiology Institute, Cleveland Clinic, Cleveland, OH 44195, United States
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52
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Liu D, Fan Y, Zhuang Y, Peng H, Gao C, Chen Y. Association of Blood Glucose Variability with Sepsis-Related Disseminated Intravascular Coagulation Morbidity and Mortality. J Inflamm Res 2022; 15:6505-6516. [DOI: 10.2147/jir.s383053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 11/15/2022] [Indexed: 12/02/2022] Open
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53
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Pichardo-Lowden AR, Haidet P, Umpierrez GE, Lehman EB, Quigley FT, Wang L, Rafferty CM, DeFlitch CJ, Chinchilli VM. Clinical Decision Support for Glycemic Management Reduces Hospital Length of Stay. Diabetes Care 2022; 45:2526-2534. [PMID: 36084251 PMCID: PMC9679255 DOI: 10.2337/dc21-0829] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 08/14/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Dysglycemia influences hospital outcomes and resource utilization. Clinical decision support (CDS) holds promise for optimizing care by overcoming management barriers. This study assessed the impact on hospital length of stay (LOS) of an alert-based CDS tool in the electronic medical record that detected dysglycemia or inappropriate insulin use, coined as gaps in care (GIC). RESEARCH DESIGN AND METHODS Using a 12-month interrupted time series among hospitalized persons aged ≥18 years, our CDS tool identified GIC and, when active, provided recommendations. We compared LOS during 6-month-long active and inactive periods using linear models for repeated measures, multiple comparison adjustment, and mediation analysis. RESULTS Among 4,788 admissions with GIC, average LOS was shorter during the tool's active periods. LOS reductions occurred for all admissions with GIC (-5.7 h, P = 0.057), diabetes and hyperglycemia (-6.4 h, P = 0.054), stress hyperglycemia (-31.0 h, P = 0.054), patients admitted to medical services (-8.4 h, P = 0.039), and recurrent hypoglycemia (-29.1 h, P = 0.074). Subgroup analysis showed significantly shorter LOS in recurrent hypoglycemia with three events (-82.3 h, P = 0.006) and nonsignificant in two (-5.2 h, P = 0.655) and four or more (-14.8 h, P = 0.746). Among 22,395 admissions with GIC (4,788, 21%) and without GIC (17,607, 79%), LOS reduction during the active period was 1.8 h (P = 0.053). When recommendations were provided, the active tool indirectly and significantly contributed to shortening LOS through its influence on GIC events during admissions with at least one GIC (P = 0.027), diabetes and hyperglycemia (P = 0.028), and medical services (P = 0.019). CONCLUSIONS Use of the alert-based CDS tool to address inpatient management of dysglycemia contributed to reducing LOS, which may reduce costs and improve patient well-being.
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Affiliation(s)
- Ariana R. Pichardo-Lowden
- Department of Medicine, Penn State Health, Penn State College of Medicine, Hershey Medical Center, Hershey, PA
| | - Paul Haidet
- Department of Medicine, Penn State Health, Penn State College of Medicine, Hershey Medical Center, Hershey, PA
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
- Department of Humanities and the Woodward Center for Excellence in Health Sciences Education, Penn State College of Medicine, Hershey, PA
| | | | - Erik B. Lehman
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
| | - Francis T. Quigley
- Department of Medicine, Penn State Health St. Joseph Medical Center, Reading, PA
| | - Li Wang
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
| | - Colleen M. Rafferty
- Department of Medicine, Penn State Health, Penn State College of Medicine, Hershey Medical Center, Hershey, PA
| | - Christopher J. DeFlitch
- Department of Emergency Medicine, Office of the Chief Medical Information Officer, Penn State Health, Hershey, PA
| | - Vernon M. Chinchilli
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA
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54
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Krinsley JS, Rule P, Brownlee M, Roberts G, Preiser JC, Chaudry S, Dionne K, Heluey-Rodrigues C, Umpierrez GE, Hirsch IB. Acute and Chronic Glucose Control in Critically Ill Patients With Diabetes: The Impact of Prior Insulin Treatment. J Diabetes Sci Technol 2022; 16:1483-1495. [PMID: 34396800 PMCID: PMC9631540 DOI: 10.1177/19322968211032277] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Emerging data highlight the interactions of preadmission glycemia, reflected by admission HbA1c levels, glycemic control during critical illness, and mortality. The association of preadmission insulin treatment with outcomes is unknown. METHODS This observational cohort study includes 5245 patients admitted to the medical-surgical intensive care unit of a university-affiliated teaching hospital. Three groups were analyzed: patients with diabetes with prior insulin treatment (DM-INS, n = 538); patients with diabetes with no prior insulin treatment (DM-No-INS, n = 986); no history of diabetes (NO-DM, n = 3721). Groups were stratified by HbA1c level: <6.5%; 6.5%-7.9% and >8.0%. RESULTS Among the three strata of HbA1c, mean blood glucose (BG), coefficient of variation (CV), and hypoglycemia increased with increasing HbA1c, and were higher for DM-INS than for DM-No-INS. Among patients with HbA1c < 6.5%, mean BG ≥ 180 mg/dL and CV > 30% were associated with lower severity-adjusted mortality in DM-INS compared to patients with mean BG 80-140 mg/dL and CV < 15%, (P = .0058 and < .0001, respectively), but higher severity-adjusted mortality among DM-No-INS (P = .0001 and < .0001, respectively) and NON-DM (P < .0001 and < .0001, respectively). Among patients with HbA1c ≥ 8.0%, mean BG ≥ 180 mg/dL was associated with lower severity-adjusted mortality for both DM-INS and DM-No-INS than was mean BG 80-140 mg/dL (p < 0.0001 for both comparisons). CONCLUSIONS Significant differences in mortality were found among patients with diabetes based on insulin treatment and HbA1c at home and post-admission glycemic control. Prospective studies need to confirm an individualized approach to glycemic control in the critically ill.
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Affiliation(s)
- James S. Krinsley
- Division of Critical Care, Department
of Medicine, Stamford Hospital, and the Columbia Vagelos College of Physicians and
Surgeons, Stamford, CT, USA
- James S Krinsley MD, FCCM, FCCP, Division
of Critical Care, Department of Medicine, Stamford Hospital, and the Columbia
Vagelos College of Physicians and Surgeons, 1 Hospital Plaza, Stamford, CT
06902, USA. Emails: ;
| | | | - Michael Brownlee
- Einstein Diabetes Research Center,
Professor of Medicine and Pathology Emeritus, Albert Einstein College of Medicine,
Bronx, NY, USA
| | | | | | - Sherose Chaudry
- Division of Critical Care, Department
of Medicine, Stamford Hospital, and the Columbia Vagelos College of Physicians and
Surgeons, Stamford, CT, USA
| | - Krista Dionne
- Division of Critical Care, Department
of Medicine, Stamford Hospital, and the Columbia Vagelos College of Physicians and
Surgeons, Stamford, CT, USA
| | - Camilla Heluey-Rodrigues
- Division of Critical Care, Department
of Medicine, Stamford Hospital, and the Columbia Vagelos College of Physicians and
Surgeons, Stamford, CT, USA
| | | | - Irl B. Hirsch
- University of Washington Medicine
Diabetes Institute, Seattle, WA, USA
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55
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Wallia A, Seley JJ. To Correct or Not to Correct: Lost in Inpatient Translation. Diabetes Care 2022; 45:2202-2203. [PMID: 36150056 DOI: 10.2337/dci22-0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Amisha Wallia
- Feinberg School of Medicine, Northwestern University, Chicago, IL
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56
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 234] [Impact Index Per Article: 78.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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57
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Chen JJ, Lee TH, Kuo G, Huang YT, Chen PR, Chen SW, Yang HY, Hsu HH, Hsiao CC, Yang CH, Lee CC, Chen YC, Chang CH. Strategies for post-cardiac surgery acute kidney injury prevention: A network meta-analysis of randomized controlled trials. Front Cardiovasc Med 2022; 9:960581. [PMID: 36247436 PMCID: PMC9555275 DOI: 10.3389/fcvm.2022.960581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/12/2022] [Indexed: 12/05/2022] Open
Abstract
Objects Cardiac surgery is associated with acute kidney injury (AKI). However, the effects of various pharmacological and non-pharmacological strategies for AKI prevention have not been thoroughly investigated, and their effectiveness in preventing AKI-related adverse outcomes has not been systematically evaluated. Methods Studies from PubMed, Embase, and Medline and registered trials from published through December 2021 that evaluated strategies for preventing post-cardiac surgery AKI were identified. The effectiveness of these strategies was assessed through a network meta-analysis (NMA). The secondary outcomes were prevention of dialysis-requiring AKI, mortality, intensive care unit (ICU) length of stay (LOS), and hospital LOS. The interventions were ranked using the P-score method. Confidence in the results of the NMA was assessed using the Confidence in NMA (CINeMA) framework. Results A total of 161 trials (involving 46,619 participants) and 53 strategies were identified. Eight pharmacological strategies {natriuretic peptides [odds ratio (OR): 0.30, 95% confidence interval (CI): 0.19-0.47], nitroprusside [OR: 0.29, 95% CI: 0.12-0.68], fenoldopam [OR: 0.36, 95% CI: 0.17-0.76], tolvaptan [OR: 0.35, 95% CI: 0.14-0.90], N-acetyl cysteine with carvedilol [OR: 0.37, 95% CI: 0.16-0.85], dexmedetomidine [OR: 0.49, 95% CI: 0.32-0.76;], levosimendan [OR: 0.56, 95% CI: 0.37-0.84], and erythropoietin [OR: 0.62, 95% CI: 0.41-0.94]} and one non-pharmacological intervention (remote ischemic preconditioning, OR: 0.76, 95% CI: 0.63-0.92) were associated with a lower incidence of post-cardiac surgery AKI with moderate to low confidence. Among these nine strategies, five (fenoldopam, erythropoietin, natriuretic peptides, levosimendan, and remote ischemic preconditioning) were associated with a shorter ICU LOS, and two (natriuretic peptides [OR: 0.30, 95% CI: 0.15-0.60] and levosimendan [OR: 0.68, 95% CI: 0.49-0.95]) were associated with a lower incidence of dialysis-requiring AKI. Natriuretic peptides were also associated with a lower risk of mortality (OR: 0.50, 95% CI: 0.29-0.86). The results of a sensitivity analysis support the robustness and effectiveness of natriuretic peptides and dexmedetomidine. Conclusion Nine potentially effective strategies were identified. Natriuretic peptide therapy was the most effective pharmacological strategy, and remote ischemic preconditioning was the only effective non-pharmacological strategy. Preventive strategies might also help prevent AKI-related adverse outcomes. Additional studies are required to explore the optimal dosages and protocols for potentially effective AKI prevention strategies.
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Affiliation(s)
- Jia-Jin Chen
- Department of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | | | - George Kuo
- Department of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Nephrology, Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yen-Ta Huang
- Department of Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Pei-Rung Chen
- Department of Anesthesiology, Mackay Memorial Hospital, Taipei, Taiwan
| | - Shao-Wei Chen
- Department of Cardiothoracic and Vascular Surgery, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan
| | - Huang-Yu Yang
- Department of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Nephrology, Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Hsiang-Hao Hsu
- Department of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Nephrology, Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Ching-Chung Hsiao
- Department of Nephrology, New Taipei Municipal TuCheng Hospital, New Taipei City, Taiwan
| | - Chia-Hung Yang
- Department of Cardiology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Cheng-Chia Lee
- Department of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Nephrology, Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Yung-Chang Chen
- Department of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Nephrology, Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Chih-Hsiang Chang
- Department of Nephrology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Nephrology, Kidney Research Center, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
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Yang J, Zhang B, Qu C, Liu L, Song Y. Analysis of Risk Factors for Sternal Wound Infection After Off-Pump Coronary Artery Bypass Grafting. Infect Drug Resist 2022; 15:5249-5256. [PMID: 36097530 PMCID: PMC9464025 DOI: 10.2147/idr.s381422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/19/2022] [Indexed: 11/30/2022] Open
Abstract
Objective To investigate the risk factors of deep sternal wound infection (DSWI) after off-pump coronary artery bypass grafting and its prevention and treatment strategy. Methods The clinical data of 465 patients who underwent OPCABG with a median chest incision were retrospectively analyzed. The patients were divided into the observation group (with DSWI, 32 cases) and the control group (without DSWI, 433 cases) according to the occurrence of DSWI. The preoperative, intraoperative, and postoperative clinical data relevant to DSWI were collected in both groups. The univariate and multivariate logistic regression analyses were adopted to analyze the risk factors for DSWI after OPCABG and investigateand its prevention and treatment strategy. Results DSWI occurred in 32 cases with an incidence of infection of 6.89%. There were 5 cases died in the observation group (with DSWI), the overall mortality rate was 1.07% and the intra-group mortality rate was 15.6%. There were 16 cases died in the control group (without DSWI) because of low cardiac output syndrome and multiple organ failure, the overall and intra-group mortality rates were 3.44% and 3.69% respectively. By analyzing the risk factors of DSWI between the two groups, the differences in age, body mass index (BMI), history of diabetes mellitus (DM), operation time, tracheal intubation time, time of stay in thecardiac care unit, blood transfusion (blood plasma)>800mL, blood transfusion (erythrocyte suspension)>6um, secondary thoracotomy were statistically significant between the observation and control groups (P < 0.05 in all). Conclusion Obesity, history of DM, prolonged operation time and tracheal intubation time, time of stay in CCU, utilization of blood product and secondary thoracotomy were DSWI independent risk factors after OPCABG.Some preventive measure should been implemented to reduce the incidence of DSWI, such as shorter operation time and tracheal intubation time, reducing the utilization of blood product.
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Affiliation(s)
- Jian Yang
- Department of Cardiovascular Surgery, General Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Bin Zhang
- Department of Cardiovascular Surgery, General Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Chengliang Qu
- Department of Cardiovascular Surgery, General Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Li Liu
- Department of Cardiovascular Surgery, General Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China
| | - Yanyan Song
- Department of Cardiovascular Surgery, General Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China
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Korytkowski MT, Muniyappa R, Antinori-Lent K, Donihi AC, Drincic AT, Hirsch IB, Luger A, McDonnell ME, Murad MH, Nielsen C, Pegg C, Rushakoff RJ, Santesso N, Umpierrez GE. Management of Hyperglycemia in Hospitalized Adult Patients in Non-Critical Care Settings: An Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab 2022; 107:2101-2128. [PMID: 35690958 PMCID: PMC9653018 DOI: 10.1210/clinem/dgac278] [Citation(s) in RCA: 135] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND Adult patients with diabetes or newly recognized hyperglycemia account for over 30% of noncritically ill hospitalized patients. These patients are at increased risk for adverse clinical outcomes in the absence of defined approaches to glycemic management. OBJECTIVE To review and update the 2012 Management of Hyperglycemia in Hospitalized Patients in Non-Critical Care Settings: An Endocrine Society Clinical Practice Guideline and to address emerging areas specific to the target population of noncritically ill hospitalized patients with diabetes or newly recognized or stress-induced hyperglycemia. METHODS A multidisciplinary panel of clinician experts, together with a patient representative and experts in systematic reviews and guideline development, identified and prioritized 10 clinical questions related to inpatient management of patients with diabetes and/or hyperglycemia. The systematic reviews queried electronic databases for studies relevant to the selected questions. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess the certainty of evidence and make recommendations. RESULTS The panel agreed on 10 frequently encountered areas specific to glycemic management in the hospital for which 15 recommendations were made. The guideline includes conditional recommendations for hospital use of emerging diabetes technologies including continuous glucose monitoring and insulin pump therapy; insulin regimens for prandial insulin dosing, glucocorticoid, and enteral nutrition-associated hyperglycemia; and use of noninsulin therapies. Recommendations were also made for issues relating to preoperative glycemic measures, appropriate use of correctional insulin, and diabetes self-management education in the hospital. A conditional recommendation was made against preoperative use of caloric beverages in patients with diabetes. CONCLUSION The recommendations are based on the consideration of important outcomes, practicality, feasibility, and patient values and preferences. These recommendations can be used to inform system improvement and clinical practice for this frequently encountered inpatient population.
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Affiliation(s)
- Mary T Korytkowski
- University of Pittsburgh, Division of Endocrinology, Department of Medicine, Pittsburgh, PA, USA
| | - Ranganath Muniyappa
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | | | - Amy C Donihi
- University of Pittsburgh School of Pharmacy, Department of Pharmacy and Therapeutics, Pittsburgh, PA, USA
| | - Andjela T Drincic
- University of Nebraska Medical Center, Endocrinology & Metabolism, Omaha, NE, USA
| | - Irl B Hirsch
- University of Washington Diabetes Institute, Seattle, WA, USA
| | - Anton Luger
- Medical University and General Hospital of Vienna, Department of Medicine III, Medical University of Vienna, Vienna, Austria
| | - Marie E McDonnell
- Brigham and Women’s Hospital and Harvard Medical School, Division of Endocrinology Diabetes and Hypertension, Boston, MA, USA
| | - M Hassan Murad
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
| | | | - Claire Pegg
- Diabetes Patient Advocacy Coalition, Tampa, FL, USA
| | - Robert J Rushakoff
- University of California, San Francisco, Department of Medicine, Division of Endocrinology and Metabolism, San Francisco, CA, USA
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Seisa MO, Saadi S, Nayfeh T, Muthusamy K, Shah SH, Firwana M, Hasan B, Jawaid T, Abd-Rabu R, Korytkowski MT, Muniyappa R, Antinori-Lent K, Donihi AC, Drincic AT, Luger A, Torres Roldan VD, Urtecho M, Wang Z, Murad MH. A Systematic Review Supporting the Endocrine Society Clinical Practice Guideline for the Management of Hyperglycemia in Adults Hospitalized for Noncritical Illness or Undergoing Elective Surgical Procedures. J Clin Endocrinol Metab 2022; 107:2139-2147. [PMID: 35690929 PMCID: PMC9653020 DOI: 10.1210/clinem/dgac277] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Indexed: 12/21/2022]
Abstract
CONTEXT Individuals with diabetes or newly recognized hyperglycemia account for over 30% of noncritically ill hospitalized patients. Management of hyperglycemia in these patients is challenging. OBJECTIVE To support development of the Endocrine Society Clinical Practice Guideline for management of hyperglycemia in adults hospitalized for noncritical illness or undergoing elective surgical procedures. METHODS We searched several databases for studies addressing 10 questions provided by a guideline panel from the Endocrine Society. Meta-analysis was conducted when feasible. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology was used to assess certainty of evidence. RESULTS We included 94 studies reporting on 135 553 patients. Compared with capillary blood glucose, continuous glucose monitoring increased the number of patients identified with hypoglycemia and decreased mean daily blood glucose (BG) (very low certainty). Data on continuation of insulin pump therapy in hospitalized adults were sparse. In hospitalized patients receiving glucocorticoids, combination neutral protamine hagedorn (NPH) and basal-bolus insulin was associated with lower mean BG compared to basal-bolus insulin alone (very low certainty). Data on NPH insulin vs basal-bolus insulin in hospitalized adults receiving enteral nutrition were inconclusive. Inpatient diabetes education was associated with lower HbA1c at 3 and 6 months after discharge (moderate certainty) and reduced hospital readmissions (very low certainty). Preoperative HbA1c level < 7% was associated with shorter length of stay, lower postoperative BG and a lower number of neurological complications and infections, but a higher number of reoperations (very low certainty). Treatment with glucagon-like peptide-1 agonists or dipeptidyl peptidase-4 inhibitors in hospitalized patients with type 2 diabetes and mild hyperglycemia was associated with lower frequency of hypoglycemic events than insulin therapy (low certainty). Caloric oral fluids before surgery in adults with diabetes undergoing surgical procedures did not affect outcomes (very low certainty). Counting carbohydrates for prandial insulin dosing did not affect outcomes (very low certainty). Compared with scheduled insulin (basal-bolus or basal insulin + correctional insulin), correctional insulin was associated with higher mean daily BG and fewer hypoglycemic events (low certainty). CONCLUSION The certainty of evidence supporting many hyperglycemia management decisions is low, emphasizing importance of shared decision-making and consideration of other decisional factors.
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Affiliation(s)
- Mohamed O Seisa
- Correspondence: Mohamed Seisa, M.D., Mayo Clinic Rochester, Rochester, MN 55902, USA.
| | - Samer Saadi
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
| | - Tarek Nayfeh
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
| | | | - Sahrish H Shah
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
| | | | - Bashar Hasan
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
| | - Tabinda Jawaid
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
| | - Rami Abd-Rabu
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
| | | | - Ranganath Muniyappa
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA
| | | | - Amy C Donihi
- University of Pittsburgh School of Pharmacy,Pittsburgh, PA 15261, USA
| | | | - Anton Luger
- Medical University and General Hospital of Vienna, Austria
| | | | | | - Zhen Wang
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
| | - M Hassan Murad
- Mayo Clinic Evidence-Based Practice Center, Rochester, MN, USA
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61
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Li X, Hou X, Zhang H, Qian X, Feng X, Shi N, Sun H, Feng W, Zhao W, Li G, Zheng Z, Chen Y. Effect of early hypoglycaemia on hospitalization outcomes in patients undergoing coronary artery bypass grafting. Diabetes Res Clin Pract 2022; 186:109830. [PMID: 35306045 DOI: 10.1016/j.diabres.2022.109830] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/23/2022] [Accepted: 03/12/2022] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To investigate the effect of early postoperative hypoglycaemia on hospitalization outcomes including major cardiovascular complications and in-hospital mortality among patients undergoing coronary artery bypass grafting (CABG). METHODS Data from an observational study of 9583 patients in the intensive care unit (ICU) who underwent CABG were analyzed. Hypoglycaemia was defined as a nadir blood glucose level <70 mg/dL (3.9 mmol/L). One-to-one propensity score matching (PSM) was used to identify 251-balanced pairs of patients to compare outcomes. RESULTS A total of 306 (3.2%) patients experienced hypoglycaemia, of whom, 133 had diabetes, 173 hadn't diabetes. Patients who were hypoglycaemia had higher incidences of compositeoutcomes than those without hypoglycaemia (12.1% versus 6.0%, P < 0.0001). Postoperative length of ICU stay was longer in patients with hypoglycaemia [2.8 (0.8-21.0) versus 2.0 (0.25-36.0) days, P < 0.0001]. After PSM, the compositeoutcomes and length of ICU stay remained significantly increased for the patients with hypoglycaemia [compositeoutcomes: odd ratio (OR) 2.78, 95% CI, 1.30-5.88, P = 0.01; length of ICU stay: OR 1.60, 95% CI, 1.14-2.26, P = 0.007]. CONCLUSION Postoperative hypoglycaemia was an independent associated factor of adverse composite outcomes and a lengthened ICU stay after CABG. Hypoglycaemia should be avoided for both postoperative patients with and without diabetes.
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Affiliation(s)
- Xiaojue Li
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaopei Hou
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Heng Zhang
- Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Qian
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinxing Feng
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Na Shi
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hansong Sun
- Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Feng
- Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Zhao
- Information Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangwei Li
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhe Zheng
- Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Yanyan Chen
- Endocrinology Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Department of Endocrinology, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, Shenzhen, Guangdong, China.
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62
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Sweeney AT, Pena S, Sandeep J, Hernandez B, Chen Y, Breeze JL, Bulut A, Feghali K, Abdelrehim M, Abdelazeem M, Srivoleti P, Salvucci L, Cann SB, Norman C. Use of a Continuous Glucose Monitoring System in High Risk Hospitalized Non-critically ill Patients with Diabetes after Cardiac Surgery and during their Transition of Care from the Intensive Care Unit during Covid-19-A Pilot Study. Endocr Pract 2022; 28:615-621. [PMID: 35276324 PMCID: PMC8902897 DOI: 10.1016/j.eprac.2022.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 03/02/2022] [Accepted: 03/02/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Continuous glucose monitoring (CGM) has demonstrated benefits in managing inpatient diabetes. We initiated this single-arm pilot feasibility study during the COVID-19 pandemic in 11 patients to determine the feasibility and accuracy of real-time CGM in cardiac surgery patients with diabetes after their transition of care from the intensive care unit(ICU). METHODS Clarke Error Grid(CEG) analysis was used to compare CGM and point-of-care(POC) measurements. Mean absolute relative difference(MARD) of the paired measurements was calculated to assess the accuracy of the CGM for glucose measurements during the first 24 hours on CGM, the remainder of time on the CGM as well as for different chronic kidney disease(CKD) strata. RESULTS Overall MARD between POC and CGM measurements was 14.80%. MARD for patients without CKD IV and V with eGFR < 20 ml/min/1.73m2 was 12.13%. Overall, 97% of the CGM values were within the no-risk zone of the CEG analysis. For the first 24 hours, a sensitivity analysis of the overall MARD for all subjects and for those with eGFR > 20 ml/min/1.73m2 was 15.42% (+/- 14.44) and 12.80% (+/- 7.85) respectively. Beyond the first 24 hours, overall MARD for all subjects and for those with eGFR > 20 ml/min/1.73m2 was 14.54% (+/- 13.21) and 11.86% (+/- 7.64) respectively. CONCLUSIONS CGM has great promise to optimize inpatient diabetes management in the noncritical care setting and after the transition of care from the ICU with high clinical reliability, and accuracy. More studies are needed to further assess CGM in patients with advanced CKD.
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Affiliation(s)
- Ann T Sweeney
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA.
| | - Samara Pena
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Jeena Sandeep
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Bryan Hernandez
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Ye Chen
- Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA
| | - Janis L Breeze
- Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA
| | - Aysegul Bulut
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Karen Feghali
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Moaz Abdelrehim
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Mohamed Abdelazeem
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Padmavathi Srivoleti
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Linda Salvucci
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Susan Berry Cann
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
| | - Catalina Norman
- Department of Medicine, St Elizabeth's Medical Center, Tufts University School of Medicine, Boston, MA
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Abstract
Hintergrund Eine Hyperglykämie bei Menschen mit und ohne Diabetes, die ins Krankenhaus eingeliefert werden, ist mit einem erheblichen Anstieg von Morbidität, Mortalität und Gesundheitskosten verbunden. Während eines Krankenhausaufenthaltes treten Stoffwechseldekompensationen häufig als Folge unterschiedlicher Ereignisse oder Zusatztherapien auf. Aufgrund des erhöhten Risikos für eine Zunahme der Morbidität, verbunden mit längerem Krankenhausaufenthalt sowie höheren Kosten und Mortalität, erscheint eine genaue Betrachtung der Bedeutung von Glukosewerten und der Therapieformen im Krankenhaus sinnvoll und angebracht. Material und Methode Aktuelle Befunde, Übersichtsarbeiten und Grundlagendaten wurden analysiert und in einer kurzen Übersicht zusammengefasst und diskutiert. Fazit Eine persistierende Hyperglykämie im Krankenhaus ist häufig und oft mit unzureichenden Ergebnissen des Krankenhausaufenthaltes verbunden. Die kontinuierliche Insulininfusion bleibt die Therapie der Wahl während hyperglykämischer Krisen und kritischen Erkrankungen. Auch bei nicht kritisch kranken Menschen mit ausgeprägter Hyperglykämie, schon ambulant bekannten hohen Insulindosen, mit Typ-1-Diabetes oder mit steroidinduzierter Hyperglykämie bleibt Insulin das Mittel der Wahl.
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Affiliation(s)
- Michael Jecht
- Diabetesschwerpunktpraxis, Rodensteinstr. 32, 13593 Berlin, Deutschland
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64
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Bogun M, Beier MA, Singh SK, McLaughlin D, Ning Y, Kurlansky P, Raza ST. Diabetes workshops for providers improve glucose control in coronary artery bypass grafting patients. J Card Surg 2022; 37:930-936. [DOI: 10.1111/jocs.16282] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 11/22/2021] [Accepted: 01/07/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Magdalena Bogun
- Division of Endocrinology, Department of Medicine Columbia University Irving Medical Center New York City New York USA
| | - Mathew A. Beier
- Division of Cardiac, Thoracic, and Vascular Surgery, Department of Surgery Columbia University Irving Medical Center New York City New York USA
| | - Sameer K. Singh
- Division of Cardiac, Thoracic, and Vascular Surgery, Department of Surgery Columbia University Irving Medical Center New York City New York USA
| | - Denise McLaughlin
- Division of Cardiac, Thoracic, and Vascular Surgery, Department of Surgery Columbia University Irving Medical Center New York City New York USA
| | - Yuming Ning
- Department of Surgery Center for Innovation and Outcomes Research, Columbia University Irving Medical Center New York City New York USA
| | - Paul Kurlansky
- Division of Cardiac, Thoracic, and Vascular Surgery, Department of Surgery Columbia University Irving Medical Center New York City New York USA
| | - Syed T. Raza
- Division of Cardiac, Thoracic, and Vascular Surgery, Department of Surgery Columbia University Irving Medical Center New York City New York USA
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65
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Vervoort D, Lia H, Fremes SE. Sweet victory: Optimizing glycemic control after coronary artery bypass grafting. J Card Surg 2022; 37:937-940. [DOI: 10.1111/jocs.16278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 01/17/2022] [Indexed: 12/01/2022]
Affiliation(s)
- Dominique Vervoort
- Institute of Health Policy, Management and Evaluation University of Toronto Toronto Ontario Canada
- Division of Cardiac Surgery University of Toronto Toronto Ontario Canada
| | - Hillary Lia
- Division of Cardiac Surgery University of Toronto Toronto Ontario Canada
- Temerty Faculty of Medicine University of Toronto Toronto Ontario Canada
| | - Stephen E. Fremes
- Institute of Health Policy, Management and Evaluation University of Toronto Toronto Ontario Canada
- Division of Cardiac Surgery University of Toronto Toronto Ontario Canada
- Temerty Faculty of Medicine University of Toronto Toronto Ontario Canada
- Schulich Heart Centre Sunnybrook Health Sciences Centre Toronto Ontario Canada
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66
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Lawton JS, Tamis-Holland JE, Bangalore S, Bates ER, Beckie TM, Bischoff JM, Bittl JA, Cohen MG, DiMaio JM, Don CW, Fremes SE, Gaudino MF, Goldberger ZD, Grant MC, Jaswal JB, Kurlansky PA, Mehran R, Metkus TS, Nnacheta LC, Rao SV, Sellke FW, Sharma G, Yong CM, Zwischenberger BA. 2021 ACC/AHA/SCAI Guideline for Coronary Artery Revascularization: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2022; 79:e21-e129. [PMID: 34895950 DOI: 10.1016/j.jacc.2021.09.006] [Citation(s) in RCA: 783] [Impact Index Per Article: 261.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
AIM The guideline for coronary artery revascularization replaces the 2011 coronary artery bypass graft surgery and the 2011 and 2015 percutaneous coronary intervention guidelines, providing a patient-centric approach to guide clinicians in the treatment of patients with significant coronary artery disease undergoing coronary revascularization as well as the supporting documentation to encourage their use. METHODS A comprehensive literature search was conducted from May 2019 to September 2019, encompassing studies, reviews, and other evidence conducted on human subjects that were published in English from PubMed, EMBASE, the Cochrane Collaboration, CINHL Complete, and other relevant databases. Additional relevant studies, published through May 2021, were also considered. STRUCTURE Coronary artery disease remains a leading cause of morbidity and mortality globally. Coronary revascularization is an important therapeutic option when managing patients with coronary artery disease. The 2021 coronary artery revascularization guideline provides recommendations based on contemporary evidence for the treatment of these patients. The recommendations present an evidence-based approach to managing patients with coronary artery disease who are being considered for coronary revascularization, with the intent to improve quality of care and align with patients' interests.
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67
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Lawton JS, Tamis-Holland JE, Bangalore S, Bates ER, Beckie TM, Bischoff JM, Bittl JA, Cohen MG, DiMaio JM, Don CW, Fremes SE, Gaudino MF, Goldberger ZD, Grant MC, Jaswal JB, Kurlansky PA, Mehran R, Metkus TS, Nnacheta LC, Rao SV, Sellke FW, Sharma G, Yong CM, Zwischenberger BA. 2021 ACC/AHA/SCAI Guideline for Coronary Artery Revascularization: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2022; 145:e18-e114. [PMID: 34882435 DOI: 10.1161/cir.0000000000001038] [Citation(s) in RCA: 273] [Impact Index Per Article: 91.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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68
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Saseedharan S, Udhoji P, Kadam V, Chiluka A, Mathew E, Talwalkar P, Argikar A, Boraskar A, Phatak R, Kulkarni N, Baghel P, Patil A, Gadgil Y, Patil K, Jain S. Observational study on SavenG protocol of glucose control in intensive care unit. JOURNAL OF DIABETOLOGY 2022. [DOI: 10.4103/jod.jod_112_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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69
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American Diabetes Association Professional Practice Committee. 16. Diabetes Care in the Hospital: Standards of Medical Care in Diabetes-2022. Diabetes Care 2022; 45:S244-S253. [PMID: 34964884 DOI: 10.2337/dc22-s016] [Citation(s) in RCA: 122] [Impact Index Per Article: 40.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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70
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Chawla R, Gangopadhyay K, Lathia T, Punyani H, Kanungo A, Sahoo A, Seshadri K. Management of hyperglycemia in critical care. JOURNAL OF DIABETOLOGY 2022. [DOI: 10.4103/jod.jod_69_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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71
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Yang X, Zhang R, Jin T, Zhu P, Yao L, Li L, Cai W, Mukherjee R, Du D, Fu X, Xue J, Martina R, Liu T, Pendharkar S, Phillips AR, Singh VK, Sutton R, Windsor JA, Deng L, Xia Q, Huang W. Stress Hyperglycemia Is Independently Associated with Persistent Organ Failure in Acute Pancreatitis. Dig Dis Sci 2022; 67:1879-1889. [PMID: 33939149 PMCID: PMC9142444 DOI: 10.1007/s10620-021-06982-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 03/30/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND/AIMS Stress hyperglycemia is common in critical illness but it has not been clearly studied in patients with acute pancreatitis (AP). This study aimed to investigate the specific blood glucose (BG) level that defines stress hyperglycemia and to determine the impact of stress hyperglycemia on clinical outcomes in AP patients. METHODS AP patients admitted ≤ 48 h after abdominal pain onset were retrospectively analyzed. Patients were stratified by pre-existing diabetes and stress hyperglycemia was defined using stratified BG levels for non-diabetes and diabetes with clinical outcomes compared. RESULTS There were 967 non-diabetic and 114 diabetic (10.5%) patients met the inclusion criteria and the clinical outcomes between these two groups were not significantly different. In non-diabetes, the cut-off BG level of ≥ 180 mg/dl was selected to define stress hyperglycemia with an 8.8-fold higher odds ratio for persistent organ failure (POF) (95% CI 5.4-14.3; P < 0.001). For diabetes, ≥ 300 mg/dl was selected with a 7.5-fold higher odds ratio for POF (95% CI 1.7-34.3; P = 0.009). In multivariable logistic regression, stress hyperglycemia was independently associated with POF, acute necrotic collection, major infection and mortality. The combination of BG and systemic inflammatory response syndrome (SIRS) score in predicting POF was better than SIRS or Glasgow score alone. CONCLUSIONS This study identifies a cut-off BG level of ≥ 180 mg/dl and ≥ 300 mg/dl was optimal to define stress hyperglycemia for non-diabetic and diabetic AP patients, respectively. There was a significant relationship between stress hyperglycemia and adverse clinical outcomes.
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Affiliation(s)
- Xinmin Yang
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
| | - Ruwen Zhang
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
| | - Tao Jin
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
| | - Ping Zhu
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
| | - Linbo Yao
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
| | - Lan Li
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
| | - Wenhao Cai
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China ,Liverpool Pancreatitis Research Group, Liverpool University Hospitals NHS Foundation Trust and Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Rajarshi Mukherjee
- Liverpool Pancreatitis Research Group, Liverpool University Hospitals NHS Foundation Trust and Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Dan Du
- West China-Washington Mitochondria and Metabolism Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xianghui Fu
- Division of Endocrinology and Metabolism, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China
| | - Jing Xue
- State Key Laboratory of Oncogenes and Related Genes, Stem Cell Research Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Reynaldo Martina
- Biostatistics and Clinical Trials, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Tingting Liu
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
| | - Sayali Pendharkar
- Surgical and Translational Research Centre, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Anthony R. Phillips
- Surgical and Translational Research Centre, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand ,Applied Surgery and Metabolism Laboratory, School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Vikesh K. Singh
- Pancreatitis Center, Division of Gastroenterology, Johns Hopkins Medical Institutions, Baltimore, USA
| | - Robert Sutton
- Liverpool Pancreatitis Research Group, Liverpool University Hospitals NHS Foundation Trust and Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - John A. Windsor
- Surgical and Translational Research Centre, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Lihui Deng
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
| | - Qing Xia
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
| | - Wei Huang
- Department and Laboratory of Integrated Traditional Chinese and Western Medicine, Sichuan Provincial Pancreatitis Centre and West China-Liverpool Biomedical Research Centre, West China Hospital, Sichuan University, No. 37 Wannan Guoxue Alley, Chengdu, 610041 Sichuan Province China
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Hweidi IM, Zytoo AM, Hayajneh AA. Tight glycaemic control and surgical site infections post cardiac surgery: a systematic review. J Wound Care 2021; 30:S22-S28. [PMID: 34882005 DOI: 10.12968/jowc.2021.30.sup12.s22] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Surgical site infection (SSI) is one of the most serious potential complications post cardiac surgery among patients with diabetes and has a number of adverse health outcomes. The literature shows discrepancies regarding the effect of different glycaemic control protocols on reducing adverse health outcomes including SSIs. The aim of this study was to conduct a systematic review that investigated the effect of the optimal range of tight glycaemic control protocols using a continuous insulin infusion on reducing the incidence of SSIs in adult patients with diabetes undergoing cardiac surgery. METHOD A systematic review was conducted following the PRISMA statement and guidelines. Search terms were used to identify research studies published between 2000 and 2019 across five key databases, including CINAHL, Medline, PubMed, Cochrane Database and Google Scholar. RESULTS A total of 12 studies met the review inclusion criteria. The reviewed literature tended to support the implementation of a tight glycaemic control protocol, particularly in the postoperative phase, that demonstrated fewer potential complications associated with cardiac surgery. On the other hand, the literature also supported the application of a moderate glycaemic control protocol in the intraoperative phase to obtain better glycaemic stability with fewer potential complications among those patients with diabetes undergoing cardiac surgery. CONCLUSION This analysis concludes that tight glycaemic control is more effective than moderate glycaemic control intraoperatively in terms of glycaemic stability among patients with diabetes undergoing cardiac surgery. Results also emphasised the importance of time-based protocol implementation to ensure better health outcomes and better quality of care for patients.
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Affiliation(s)
- Issa M Hweidi
- Jordan University of Science and Technology, P.O. Box 3030, Faculty of Nursing, Irbid 22110, Jordan
| | - Ala M Zytoo
- Jordan University of Science and Technology, P.O. Box 3030, Faculty of Nursing, Irbid 22110, Jordan
| | - Audai A Hayajneh
- Jordan University of Science and Technology, P.O. Box 3030, Faculty of Nursing, Irbid 22110, Jordan
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73
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Hweidi IM, Zytoon AM, Hayajneh AA, Al Obeisat SM, Hweidi AI. The effect of intraoperative glycemic control on surgical site infections among diabetic patients undergoing coronary artery bypass graft (CABG) surgery. Heliyon 2021; 7:e08529. [PMID: 34926859 PMCID: PMC8646993 DOI: 10.1016/j.heliyon.2021.e08529] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 07/06/2021] [Accepted: 11/29/2021] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE Perioperative poor glycemic control in diabetic patients undergoing Coronary Artery Bypass Graft (CABG) surgery has been associated with infectious complications, particularly surgical site infections that are linked with adverse health surgical outcomes. The purpose of this study was to investigate the effect of two different intraoperative glycemic control protocol, tight and conventional, on thirty-day postoperative surgical site infection (SSI) rates among diabetic patients undergoing CABG surgery. DESIGN A randomized controlled trial (RCT) design was employed in the study, with a convenience sample of 144 adult patients who were scheduled to undergo coronary artery bypass grafting surgery. SETTING A main referral heart institute in Amman, Jordan. PARTICIPANTS Subjects were randomly assigned to either the tight glycemic control group (n = 72), which maintained an intraoperative blood glucose level of 110-149 mg/dl via continuous intravenous insulin infusion, or the conventional glycemic control group (n = 72), which maintained an intraoperative blood glucose level of 150-180 mg/dl via continuous intravenous insulin infusion. The postoperative SSIs among both groups were evaluated and compared by independent blinded physicians. RESULTS The primary findings of this study indicated no statistically significant difference between the two treatment groups in terms of SSI rates and their potential adverse surgical outcomes (p = 0.512). CONCLUSION Nurses should consider the glycemic stability and glycemic control approach to minimize adverse surgical outcomes post CABG surgery. Healthcare providers should also carefully consider diabetic patients who have undergone CABG surgery and are at risk of developing postoperative SSIs. CLINICALTRIALSGOV IDENTIFIER NCT04451655 was retrospectively registered in 30/06/2020.
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Affiliation(s)
- Issa M. Hweidi
- Faculty of Nursing, Adult Health Nursing Department, Jordan University of Science and Technology, P. O. Box 3030, Irbid 22110, Jordan
| | - Ala M. Zytoon
- Faculty of Nursing, Adult Health Nursing Department, Jordan University of Science and Technology, P. O. Box 3030, Irbid 22110, Jordan
| | - Audai A. Hayajneh
- Faculty of Nursing, Adult Health Nursing Department, Jordan University of Science and Technology, P. O. Box 3030, Irbid 22110, Jordan
| | - Salwa M. Al Obeisat
- Faculty of Nursing, Maternal-Child Health Nursing Department, Jordan University of Science and Technology, P. O. Box 3030, Irbid 22110, Jordan
| | - Aysam I. Hweidi
- Faculty of Medicine, Jordan University of Science and Technology, PO Box 3030, Irbid 22110, Jordan
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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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See KC. Glycemic targets in critically ill adults: A mini-review. World J Diabetes 2021; 12:1719-1730. [PMID: 34754373 PMCID: PMC8554370 DOI: 10.4239/wjd.v12.i10.1719] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Revised: 06/06/2021] [Accepted: 09/03/2021] [Indexed: 02/06/2023] Open
Abstract
Illness-induced hyperglycemia impairs neutrophil function, increases pro-inflammatory cytokines, inhibits fibrinolysis, and promotes cellular damage. In turn, these mechanisms lead to pneumonia and surgical site infections, prolonged mechanical ventilation, prolonged hospitalization, and increased mortality. For optimal glucose control, blood glucose measurements need to be done accurately, frequently, and promptly. When choosing glycemic targets, one should keep the glycemic variability < 4 mmol/L and avoid targeting a lower limit of blood glucose < 4.4 mmol/L. The upper limit of blood glucose should be set according to casemix and the quality of glucose control. A lower glycemic target range (i.e., blood glucose 4.5-7.8 mmol/L) would be favored for patients without diabetes mellitus, with traumatic brain injury, or who are at risk of surgical site infection. To avoid harm from hypoglycemia, strict adherence to glycemic control protocols and timely glucose measurements are required. In contrast, a higher glycemic target range (i.e., blood glucose 7.8-10 mmol/L) would be favored as a default choice for medical-surgical patients and patients with diabetes mellitus. These targets may be modified if technical advances for blood glucose measurement and control can be achieved.
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Affiliation(s)
- Kay Choong See
- Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, Singapore 119228, Singapore
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76
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Hayajneh AA, Hweidi IM, Zytoon AM. Glycaemic stability and length of stay: Tight versus conventional intraoperative glycaemic control protocols among patients with diabetes mellitus undergoing coronary artery bypass graft surgery. Int J Clin Pract 2021; 75:e14551. [PMID: 34145939 DOI: 10.1111/ijcp.14551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 06/17/2021] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Intraoperative glycaemic stability and control among patients with diabetes mellitus (DM) undergoing coronary artery bypass grafting (CABG) surgery have been a major concern. The current study aimed to compare the effect of tight glycaemic control and conventional glycaemic control on glycaemic stability and length of stay (LOS) among diabetic patients undergoing CABG surgery. METHODS This study utilised a randomised control trial design among a convenience sample of 144 patients. Participants were randomly assigned to either the tight or conventional glycaemic control groups. The repeated measures analysis of variance (ANOVA) test and an independent samples t test were used to assess the variations in blood glucose (BG) level and LOS based on insulin therapy type. RESULTS Patients who received the tight glycaemic control protocol had significantly more consistent and lower mean intraoperative BG levels than did patients who received the conventional glycaemic control protocol. No statistically significant differences in hospital LOS in days were identified between the two groups. CONCLUSION Healthcare providers, including physicians and nurses, should consider using tight glycaemic control therapy among patients undergoing coronary artery bypass graft (CABG) surgery. This may lead to increased BG level consistency and stability and lower mean intraoperative BG level across time.
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Affiliation(s)
- Audai A Hayajneh
- Adult Health-Nursing Department, Faculty of Nursing, Jordan University of Science and Technology, Irbid, Jordan
| | - Issa M Hweidi
- School of Nursing, Adult Health Nursing Department, Jordan University of Science and Technology, Irbid, Jordan
| | - Ala M Zytoon
- Adult Health Nursing Department, Jordan University of Science and Technology, Irbid, Jordan
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77
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Roth* J, Sommerfeld* O, L. Birkenfeld A, Sponholz C, A. Müller U, von Loeffelholz C. Blood Sugar Targets in Surgical Intensive Care—Management and Special Considerations in Patients With Diabetes. DEUTSCHES ARZTEBLATT INTERNATIONAL 2021; 118:629-636. [PMID: 34857072 PMCID: PMC8715312 DOI: 10.3238/arztebl.m2021.0221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 01/08/2021] [Accepted: 04/20/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND 30-80% of patients being treated in intensive care units in the perioperative period develop hyperglycemia. This stress hyperglycemia is induced and maintained by inflammatory-endocrine and iatrogenic stimuli and generally requires treatment. There is uncertainty regarding the optimal blood glucose targets for patients with diabetes mellitus. METHODS This review is based on pertinent publications retrieved by a selective search in PubMed and Google Scholar. RESULTS Patients in intensive care with pre-existing diabetes do not benefit from blood sugar reduction to the same extent as metabolically healthy individuals, but they, too, are exposed to a clinically relevant risk of hypoglycemia. A therapeutic range from 4.4 to 6.1 mmol/L (79-110 mg/dL) cannot be justified for patients with diabetes mellitus. The primary therapeutic strategy in the perioperative setting should be to strictly avoid hypoglycemia. Neurotoxic effects and the promotion of wound-healing disturbances are among the adverse consequences of hyperglycemia. Meta-analyses have shown that an upper blood sugar limit of 10 mmol/L (180 mg/dL) is associated with better outcomes for diabetic patients than an upper limit of less than this value. The target range of 7.8-10 mmol/L (140-180 mg/dL) proposed by specialty societies for hospitalized patients with diabetes seems to be the best compromise at present for optimizing clinical outcomes while avoiding hypoglycemia. The method of choice for achieving this goal in intensive care medicine is the continuous intravenous administration of insulin, requirng standardized, high-quality monitoring conditions. CONCLUSION Optimal blood sugar control for diabetic patients in intensive care meets the dual objectives of avoiding hypoglycemia while keeping the blood glucose concentration under 10 mmol/L (180 mg/dL). Nutrition therapy in accordance with the relevant guidelines is an indispensable pre - requisite.
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Affiliation(s)
- Johannes Roth*
- *The authors contributed equally to this paper
- Dept. for Anesthesiology and Intensive Care Medicine, University Hospital of the Friedrich-Schiller University Jena, Jena, Germany
| | - Oliver Sommerfeld*
- *The authors contributed equally to this paper
- Dept. for Anesthesiology and Intensive Care Medicine, University Hospital of the Friedrich-Schiller University Jena, Jena, Germany
| | - Andreas L. Birkenfeld
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- King´s College London, Department of Diabetes, School of Life Course Science, London, UK
- Institute for Diabetes Research and Metabolic Diseases (IDM) of the Helmholtz Center Munich at the University of Tübingen, Germany
- Division IV (Diabetology, Endocrinology, Nephrology) of the Department of Internal Medicine at the University Hospital Tübingen, Germany
| | - Christoph Sponholz
- Dept. for Anesthesiology and Intensive Care Medicine, University Hospital of the Friedrich-Schiller University Jena, Jena, Germany
| | - Ulrich A. Müller
- Practice for Diabetology and Endocrinology, Dr. Kielstein, Outpatient Healthcare Center Erfurt, Jena
| | - Christian von Loeffelholz
- Dept. for Anesthesiology and Intensive Care Medicine, University Hospital of the Friedrich-Schiller University Jena, Jena, Germany
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78
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Egi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada TA, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, et alEgi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada TA, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, Yamada H, Yamamoto R, Yoshida T, Yoshida Y, Yoshimura J, Yotsumoto R, Yonekura H, Wada T, Watanabe E, Aoki M, Asai H, Abe T, Igarashi Y, Iguchi N, Ishikawa M, Ishimaru G, Isokawa S, Itakura R, Imahase H, Imura H, Irinoda T, Uehara K, Ushio N, Umegaki T, Egawa Y, Enomoto Y, Ota K, Ohchi Y, Ohno T, Ohbe H, Oka K, Okada N, Okada Y, Okano H, Okamoto J, Okuda H, Ogura T, Onodera Y, Oyama Y, Kainuma M, Kako E, Kashiura M, Kato H, Kanaya A, Kaneko T, Kanehata K, Kano KI, Kawano H, Kikutani K, Kikuchi H, Kido T, Kimura S, Koami H, Kobashi D, Saiki I, Sakai M, Sakamoto A, Sato T, Shiga Y, Shimoto M, Shimoyama S, Shoko T, Sugawara Y, Sugita A, Suzuki S, Suzuki Y, Suhara T, Sonota K, Takauji S, Takashima K, Takahashi S, Takahashi Y, Takeshita J, Tanaka Y, Tampo A, Tsunoyama T, Tetsuhara K, Tokunaga K, Tomioka Y, Tomita K, Tominaga N, Toyosaki M, Toyoda Y, Naito H, Nagata I, Nagato T, Nakamura Y, Nakamori Y, Nahara I, Naraba H, Narita C, Nishioka N, Nishimura T, Nishiyama K, Nomura T, Haga T, Hagiwara Y, Hashimoto K, Hatachi T, Hamasaki T, Hayashi T, Hayashi M, Hayamizu A, Haraguchi G, Hirano Y, Fujii R, Fujita M, Fujimura N, Funakoshi H, Horiguchi M, Maki J, Masunaga N, Matsumura Y, Mayumi T, Minami K, Miyazaki Y, Miyamoto K, Murata T, Yanai M, Yano T, Yamada K, Yamada N, Yamamoto T, Yoshihiro S, Tanaka H, Nishida O. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020). J Intensive Care 2021; 9:53. [PMID: 34433491 PMCID: PMC8384927 DOI: 10.1186/s40560-021-00555-7] [Show More Authors] [Citation(s) in RCA: 118] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 05/10/2021] [Indexed: 02/08/2023] Open
Abstract
The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020), a Japanese-specific set of clinical practice guidelines for sepsis and septic shock created as revised from J-SSCG 2016 jointly by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine, was first released in September 2020 and published in February 2021. An English-language version of these guidelines was created based on the contents of the original Japanese-language version. The purpose of this guideline is to assist medical staff in making appropriate decisions to improve the prognosis of patients undergoing treatment for sepsis and septic shock. We aimed to provide high-quality guidelines that are easy to use and understand for specialists, general clinicians, and multidisciplinary medical professionals. J-SSCG 2016 took up new subjects that were not present in SSCG 2016 (e.g., ICU-acquired weakness [ICU-AW], post-intensive care syndrome [PICS], and body temperature management). The J-SSCG 2020 covered a total of 22 areas with four additional new areas (patient- and family-centered care, sepsis treatment system, neuro-intensive treatment, and stress ulcers). A total of 118 important clinical issues (clinical questions, CQs) were extracted regardless of the presence or absence of evidence. These CQs also include those that have been given particular focus within Japan. This is a large-scale guideline covering multiple fields; thus, in addition to the 25 committee members, we had the participation and support of a total of 226 members who are professionals (physicians, nurses, physiotherapists, clinical engineers, and pharmacists) and medical workers with a history of sepsis or critical illness. The GRADE method was adopted for making recommendations, and the modified Delphi method was used to determine recommendations by voting from all committee members.As a result, 79 GRADE-based recommendations, 5 Good Practice Statements (GPS), 18 expert consensuses, 27 answers to background questions (BQs), and summaries of definitions and diagnosis of sepsis were created as responses to 118 CQs. We also incorporated visual information for each CQ according to the time course of treatment, and we will also distribute this as an app. The J-SSCG 2020 is expected to be widely used as a useful bedside guideline in the field of sepsis treatment both in Japan and overseas involving multiple disciplines.
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Affiliation(s)
- Moritoki Egi
- Department of Surgery Related, Division of Anesthesiology, Kobe University Graduate School of Medicine, Kusunoki-cho 7-5-2, Chuo-ku, Kobe, Hyogo, Japan.
| | - Hiroshi Ogura
- Department of Traumatology and Acute Critical Medicine, Osaka University Medical School, Yamadaoka 2-15, Suita, Osaka, Japan.
| | - Tomoaki Yatabe
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kazuaki Atagi
- Department of Intensive Care Unit, Nara Prefectural General Medical Center, Nara, Japan
| | - Shigeaki Inoue
- Department of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Toshiaki Iba
- Department of Emergency and Disaster Medicine, Juntendo University, Tokyo, Japan
| | - Yasuyuki Kakihana
- Department of Emergency and Intensive Care Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Tatsuya Kawasaki
- Department of Pediatric Critical Care, Shizuoka Children's Hospital, Shizuoka, Japan
| | - Shigeki Kushimoto
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yasuhiro Kuroda
- Department of Emergency, Disaster, and Critical Care Medicine, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Joji Kotani
- Department of Surgery Related, Division of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Takumi Taniguchi
- Department of Anesthesiology and Intensive Care Medicine, Kanazawa University, Kanazawa, Japan
| | - Ryosuke Tsuruta
- Acute and General Medicine, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Kent Doi
- Department of Acute Medicine, The University of Tokyo, Tokyo, Japan
| | - Matsuyuki Doi
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Taka-Aki Nakada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Masaki Nakane
- Department of Emergency and Critical Care Medicine, Yamagata University Hospital, Yamagata, Japan
| | - Seitaro Fujishima
- Center for General Medicine Education, Keio University School of Medicine, Tokyo, Japan
| | - Naoto Hosokawa
- Department of Infectious Diseases, Kameda Medical Center, Kamogawa, Japan
| | - Yoshiki Masuda
- Department of Intensive Care Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Asako Matsushima
- Department of Advancing Acute Medicine, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan
| | - Naoyuki Matsuda
- Department of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuma Yamakawa
- Department of Emergency Medicine, Osaka Medical College, Osaka, Japan
| | - Yoshitaka Hara
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Masaaki Sakuraya
- Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital, Hatsukaichi, Japan
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yoshitaka Aoki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Mai Inada
- Member of Japanese Association for Acute Medicine, Tokyo, Japan
| | - Yutaka Umemura
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | - Yusuke Kawai
- Department of Nursing, Fujita Health University Hospital, Toyoake, Japan
| | - Yutaka Kondo
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Hiroki Saito
- Department of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Yokohama City Seibu Hospital, Yokohama, Japan
| | - Shunsuke Taito
- Division of Rehabilitation, Department of Clinical Support and Practice, Hiroshima University Hospital, Hiroshima, Japan
| | - Chikashi Takeda
- Department of Anesthesia, Kyoto University Hospital, Kyoto, Japan
| | - Takero Terayama
- Department of Psychiatry, School of Medicine, National Defense Medical College, Tokorozawa, Japan
| | | | - Hideki Hashimoto
- Department of Emergency and Critical Care Medicine/Infectious Disease, Hitachi General Hospital, Hitachi, Japan
| | - Kei Hayashida
- The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Toru Hifumi
- Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Tomoya Hirose
- Emergency and Critical Care Medical Center, Osaka Police Hospital, Osaka, Japan
| | - Tatsuma Fukuda
- Department of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Tomoko Fujii
- Intensive Care Unit, Jikei University Hospital, Tokyo, Japan
| | - Shinya Miura
- The Royal Children's Hospital Melbourne, Melbourne, Australia
| | - Hideto Yasuda
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Toshikazu Abe
- Department of Emergency and Critical Care Medicine, Tsukuba Memorial Hospital, Tsukuba, Japan
| | - Kohkichi Andoh
- Division of Anesthesiology, Division of Intensive Care, Division of Emergency and Critical Care, Sendai City Hospital, Sendai, Japan
| | - Yuki Iida
- Department of Physical Therapy, School of Health Sciences, Toyohashi Sozo University, Toyohashi, Japan
| | - Tadashi Ishihara
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Kentaro Ide
- Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Kenta Ito
- Department of General Pediatrics, Aichi Children's Health and Medical Center, Obu, Japan
| | - Yusuke Ito
- Department of Infectious Disease, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Yu Inata
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Akemi Utsunomiya
- Human Health Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takeshi Unoki
- Department of Acute and Critical Care Nursing, School of Nursing, Sapporo City University, Sapporo, Japan
| | - Koji Endo
- Department of Pharmacoepidemiology, Kyoto University Graduate School of Medicine and Public Health, Kyoto, Japan
| | - Akira Ouchi
- College of Nursing, Ibaraki Christian University, Hitachi, Japan
| | - Masayuki Ozaki
- Department of Emergency and Critical Care Medicine, Komaki City Hospital, Komaki, Japan
| | - Satoshi Ono
- Gastroenterological Center, Shinkuki General Hospital, Kuki, Japan
| | | | | | - Yusuke Kawamura
- Department of Rehabilitation, Showa General Hospital, Tokyo, Japan
| | - Daisuke Kudo
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kenji Kubo
- Department of Emergency Medicine and Department of Infectious Diseases, Japanese Red Cross Wakayama Medical Center, Wakayama, Japan
| | - Kiyoyasu Kurahashi
- Department of Anesthesiology and Intensive Care Medicine, International University of Health and Welfare School of Medicine, Narita, Japan
| | | | - Akira Shimoyama
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Takeshi Suzuki
- Department of Anesthesiology, Tokai University School of Medicine, Isehara, Japan
| | - Shusuke Sekine
- Department of Anesthesiology, Tokyo Medical University, Tokyo, Japan
| | - Motohiro Sekino
- Division of Intensive Care, Nagasaki University Hospital, Nagasaki, Japan
| | - Nozomi Takahashi
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Sei Takahashi
- Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan
| | - Hiroshi Takahashi
- Department of Cardiology, Steel Memorial Muroran Hospital, Muroran, Japan
| | - Takashi Tagami
- Department of Emergency and Critical Care Medicine, Nippon Medical School Musashi Kosugi Hospital, Kawasaki, Japan
| | - Goro Tajima
- Nagasaki University Hospital Acute and Critical Care Center, Nagasaki, Japan
| | - Hiroomi Tatsumi
- Department of Intensive Care Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Masanori Tani
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Asuka Tsuchiya
- Department of Emergency and Critical Care Medicine, National Hospital Organization Mito Medical Center, Ibaraki, Japan
| | - Yusuke Tsutsumi
- Department of Emergency and Critical Care Medicine, National Hospital Organization Mito Medical Center, Ibaraki, Japan
| | - Takaki Naito
- Department of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Masaharu Nagae
- Department of Intensive Care Medicine, Kobe University Hospital, Kobe, Japan
| | | | - Kensuke Nakamura
- Department of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan
| | - Tetsuro Nishimura
- Department of Traumatology and Critical Care Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shin Nunomiya
- Department of Anesthesiology and Intensive Care Medicine, Division of Intensive Care, Jichi Medical University School of Medicine, Shimotsuke, Japan
| | - Yasuhiro Norisue
- Department of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, Urayasu, Japan
| | - Satoru Hashimoto
- Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Hasegawa
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Junji Hatakeyama
- Department of Emergency and Critical Care Medicine, National Hospital Organization Tokyo Medical Center, Tokyo, Japan
| | - Naoki Hara
- Department of Pharmacy, Yokohama Rosai Hospital, Yokohama, Japan
| | - Naoki Higashibeppu
- Department of Anesthesiology and Nutrition Support Team, Kobe City Medical Center General Hospital, Kobe City Hospital Organization, Kobe, Japan
| | - Nana Furushima
- Department of Anesthesiology, Kobe University Hospital, Kobe, Japan
| | - Hirotaka Furusono
- Department of Rehabilitation, University of Tsukuba Hospital/Exult Co., Ltd., Tsukuba, Japan
| | - Yujiro Matsuishi
- Doctoral program in Clinical Sciences. Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | - Tasuku Matsuyama
- Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yusuke Minematsu
- Department of Clinical Engineering, Osaka University Hospital, Suita, Japan
| | - Ryoichi Miyashita
- Department of Intensive Care Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Yuji Miyatake
- Department of Clinical Engineering, Kakogawa Central City Hospital, Kakogawa, Japan
| | - Megumi Moriyasu
- Division of Respiratory Care and Rapid Response System, Intensive Care Center, Kitasato University Hospital, Sagamihara, Japan
| | - Toru Yamada
- Department of Nursing, Toho University Omori Medical Center, Tokyo, Japan
| | - Hiroyuki Yamada
- Department of Primary Care and Emergency Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Ryo Yamamoto
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takeshi Yoshida
- Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yuhei Yoshida
- Nursing Department, Osaka General Medical Center, Osaka, Japan
| | - Jumpei Yoshimura
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | | | - Hiroshi Yonekura
- Department of Clinical Anesthesiology, Mie University Hospital, Tsu, Japan
| | - Takeshi Wada
- Department of Anesthesiology and Critical Care Medicine, Division of Acute and Critical Care Medicine, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Eizo Watanabe
- Department of Emergency and Critical Care Medicine, Eastern Chiba Medical Center, Togane, Japan
| | - Makoto Aoki
- Department of Emergency Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hideki Asai
- Department of Emergency and Critical Care Medicine, Nara Medical University, Kashihara, Japan
| | - Takakuni Abe
- Department of Anesthesiology and Intensive Care, Oita University Hospital, Yufu, Japan
| | - Yutaka Igarashi
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, Tokyo, Japan
| | - Naoya Iguchi
- Department of Anesthesiology and Intensive Care Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Masami Ishikawa
- Department of Anesthesiology, Emergency and Critical Care Medicine, Kure Kyosai Hospital, Kure, Japan
| | - Go Ishimaru
- Department of General Internal Medicine, Soka Municipal Hospital, Soka, Japan
| | - Shutaro Isokawa
- Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Ryuta Itakura
- Department of Emergency and Critical Care Medicine, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan
| | - Hisashi Imahase
- Department of Biomedical Ethics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Haruki Imura
- Department of Infectious Diseases, Rakuwakai Otowa Hospital, Kyoto, Japan
- Department of Health Informatics, School of Public Health, Kyoto University, Kyoto, Japan
| | | | - Kenji Uehara
- Department of Anesthesiology, National Hospital Organization Iwakuni Clinical Center, Iwakuni, Japan
| | - Noritaka Ushio
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Takeshi Umegaki
- Department of Anesthesiology, Kansai Medical University, Hirakata, Japan
| | - Yuko Egawa
- Advanced Emergency and Critical Care Center, Saitama Red Cross Hospital, Saitama, Japan
| | - Yuki Enomoto
- Department of Emergency and Critical Care Medicine, University of Tsukuba, Tsukuba, Japan
| | - Kohei Ota
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yoshifumi Ohchi
- Department of Anesthesiology and Intensive Care, Oita University Hospital, Yufu, Japan
| | - Takanori Ohno
- Department of Emergency and Critical Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan
| | - Hiroyuki Ohbe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | | | - Nobunaga Okada
- Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yohei Okada
- Department of Primary care and Emergency medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hiromu Okano
- Department of Anesthesiology, Kyorin University School of Medicine, Tokyo, Japan
| | - Jun Okamoto
- Department of ER, Hashimoto Municipal Hospital, Hashimoto, Japan
| | - Hiroshi Okuda
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Takayuki Ogura
- Tochigi prefectural Emergency and Critical Care Center, Imperial Gift Foundation Saiseikai, Utsunomiya Hospital, Utsunomiya, Japan
| | - Yu Onodera
- Department of Anesthesiology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Yuhta Oyama
- Department of Internal Medicine, Dialysis Center, Kichijoji Asahi Hospital, Tokyo, Japan
| | - Motoshi Kainuma
- Anesthesiology, Emergency Medicine, and Intensive Care Division, Inazawa Municipal Hospital, Inazawa, Japan
| | - Eisuke Kako
- Department of Anesthesiology and Intensive Care Medicine, Nagoya-City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Masahiro Kashiura
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Hiromi Kato
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Akihiro Kanaya
- Department of Anesthesiology, Sendai Medical Center, Sendai, Japan
| | - Tadashi Kaneko
- Emergency and Critical Care Center, Mie University Hospital, Tsu, Japan
| | - Keita Kanehata
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Ken-Ichi Kano
- Department of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan
| | - Hiroyuki Kawano
- Department of Gastroenterological Surgery, Onga Hospital, Fukuoka, Japan
| | - Kazuya Kikutani
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Hitoshi Kikuchi
- Department of Emergency and Critical Care Medicine, Seirei Mikatahara General Hospital, Hamamatsu, Japan
| | - Takahiro Kido
- Department of Pediatrics, University of Tsukuba Hospital, Tsukuba, Japan
| | - Sho Kimura
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Hiroyuki Koami
- Center for Translational Injury Research, University of Texas Health Science Center at Houston, Houston, USA
| | - Daisuke Kobashi
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Iwao Saiki
- Department of Anesthesiology, Tokyo Medical University, Tokyo, Japan
| | - Masahito Sakai
- Department of General Medicine Shintakeo Hospital, Takeo, Japan
| | - Ayaka Sakamoto
- Department of Emergency and Critical Care Medicine, University of Tsukuba Hospital, Tsukuba, Japan
| | - Tetsuya Sato
- Tohoku University Hospital Emergency Center, Sendai, Japan
| | - Yasuhiro Shiga
- Department of Orthopaedic Surgery, Center for Advanced Joint Function and Reconstructive Spine Surgery, Graduate school of Medicine, Chiba University, Chiba, Japan
| | - Manabu Shimoto
- Department of Primary care and Emergency medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shinya Shimoyama
- Department of Pediatric Cardiology and Intensive Care, Gunma Children's Medical Center, Shibukawa, Japan
| | - Tomohisa Shoko
- Department of Emergency and Critical Care Medicine, Tokyo Women's Medical University Medical Center East, Tokyo, Japan
| | - Yoh Sugawara
- Department of Anesthesiology, Yokohama City University, Yokohama, Japan
| | - Atsunori Sugita
- Department of Acute Medicine, Division of Emergency and Critical Care Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Satoshi Suzuki
- Department of Intensive Care, Okayama University Hospital, Okayama, Japan
| | - Yuji Suzuki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Tomohiro Suhara
- Department of Anesthesiology, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Sonota
- Department of Intensive Care Medicine, Miyagi Children's Hospital, Sendai, Japan
| | - Shuhei Takauji
- Department of Emergency Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Kohei Takashima
- Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Sho Takahashi
- Department of Cardiology, Fukuyama City Hospital, Fukuyama, Japan
| | - Yoko Takahashi
- Department of General Internal Medicine, Koga General Hospital, Koga, Japan
| | - Jun Takeshita
- Department of Anesthesiology, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Yuuki Tanaka
- Fukuoka Prefectural Psychiatric Center, Dazaifu Hospital, Dazaifu, Japan
| | - Akihito Tampo
- Department of Emergency Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Taichiro Tsunoyama
- Department of Emergency Medicine, Teikyo University School of Medicine, Tokyo, Japan
| | - Kenichi Tetsuhara
- Emergency and Critical Care Center, Kyushu University Hospital, Fukuoka, Japan
| | - Kentaro Tokunaga
- Department of Intensive Care Medicine, Kumamoto University Hospital, Kumamoto, Japan
| | - Yoshihiro Tomioka
- Department of Anesthesiology and Intensive Care Unit, Todachuo General Hospital, Toda, Japan
| | - Kentaro Tomita
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Naoki Tominaga
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, Tokyo, Japan
| | - Mitsunobu Toyosaki
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yukitoshi Toyoda
- Department of Emergency and Critical Care Medicine, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | - Hiromichi Naito
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Isao Nagata
- Intensive Care Unit, Yokohama City Minato Red Cross Hospital, Yokohama, Japan
| | - Tadashi Nagato
- Department of Respiratory Medicine, Tokyo Yamate Medical Center, Tokyo, Japan
| | - Yoshimi Nakamura
- Department of Emergency and Critical Care Medicine, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan
| | - Yuki Nakamori
- Department of Clinical Anesthesiology, Mie University Hospital, Tsu, Japan
| | - Isao Nahara
- Department of Anesthesiology and Critical Care Medicine, Nagoya Daini Red Cross Hospital, Nagoya, Japan
| | - Hiromu Naraba
- Department of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan
| | - Chihiro Narita
- Department of Emergency Medicine and Intensive Care Medicine, Shizuoka General Hospital, Shizuoka, Japan
| | - Norihiro Nishioka
- Department of Preventive Services, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomoya Nishimura
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Kei Nishiyama
- Division of Emergency and Critical Care Medicine Niigata University Graduate School of Medical and Dental Science, Niigata, Japan
| | - Tomohisa Nomura
- Department of Emergency and Critical Care Medicine, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Taiki Haga
- Department of Pediatric Critical Care Medicine, Osaka City General Hospital, Osaka, Japan
| | - Yoshihiro Hagiwara
- Department of Emergency and Critical Care Medicine, Saiseikai Utsunomiya Hospital, Utsunomiya, Japan
| | - Katsuhiko Hashimoto
- Research Associate of Minimally Invasive Surgical and Medical Oncology, Fukushima Medical University, Fukushima, Japan
| | - Takeshi Hatachi
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Toshiaki Hamasaki
- Department of Emergency Medicine, Japanese Red Cross Society Wakayama Medical Center, Wakayama, Japan
| | - Takuya Hayashi
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Minoru Hayashi
- Department of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan
| | - Atsuki Hayamizu
- Department of Emergency Medicine, Saitama Saiseikai Kurihashi Hospital, Kuki, Japan
| | - Go Haraguchi
- Division of Intensive Care Unit, Sakakibara Heart Institute, Tokyo, Japan
| | - Yohei Hirano
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Ryo Fujii
- Department of Emergency Medicine and Critical Care Medicine, Tochigi Prefectural Emergency and Critical Care Center, Imperial Foundation Saiseikai Utsunomiya Hospital, Utsunomiya, Japan
| | - Motoki Fujita
- Acute and General Medicine, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Naoyuki Fujimura
- Department of Anesthesiology, St. Mary's Hospital, Our Lady of the Snow Social Medical Corporation, Kurume, Japan
| | - Hiraku Funakoshi
- Department of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, Urayasu, Japan
| | - Masahito Horiguchi
- Department of Emergency and Critical Care Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan
| | - Jun Maki
- Department of Critical Care Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Naohisa Masunaga
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yosuke Matsumura
- Department of Intensive Care, Chiba Emergency Medical Center, Chiba, Japan
| | - Takuya Mayumi
- Department of Internal Medicine, Kanazawa Municipal Hospital, Kanazawa, Japan
| | - Keisuke Minami
- Ishikawa Prefectual Central Hospital Emergency and Critical Care Center, Kanazawa, Japan
| | - Yuya Miyazaki
- Department of Emergency and General Internal Medicine, Saiseikai Kawaguchi General Hospital, Kawaguchi, Japan
| | - Kazuyuki Miyamoto
- Department of Emergency and Disaster Medicine, Showa University, Tokyo, Japan
| | - Teppei Murata
- Department of Cardiology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Machi Yanai
- Department of Emergency Medicine, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Takao Yano
- Department of Critical Care and Emergency Medicine, Miyazaki Prefectural Nobeoka Hospital, Nobeoka, Japan
| | - Kohei Yamada
- Department of Traumatology and Critical Care Medicine, National Defense Medical College, Tokorozawa, Japan
| | - Naoki Yamada
- Department of Emergency Medicine, University of Fukui Hospital, Fukui, Japan
| | - Tomonori Yamamoto
- Department of Intensive Care Unit, Nara Prefectural General Medical Center, Nara, Japan
| | - Shodai Yoshihiro
- Pharmaceutical Department, JA Hiroshima General Hospital, Hatsukaichi, Japan
| | - Hiroshi Tanaka
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Osamu Nishida
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
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Golukhova EZ, Lifanova LS, Pugovkina YV, Grigoryan MV, Bulaeva NI. Should We Monitor Glucose and Biomarkers in Diabetics over Heart Surgery? J Clin Med 2021; 10:jcm10153399. [PMID: 34362176 PMCID: PMC8348301 DOI: 10.3390/jcm10153399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 07/22/2021] [Accepted: 07/28/2021] [Indexed: 11/16/2022] Open
Abstract
Hyperglycemia is associated with adverse outcomes after coronary artery bypass grafting (CABG). While there is a consensus that blood glucose control may benefit patients undergoing CABG, the role of biomarkers, optimal method, and duration of such monitoring are still unclear. The aim of this study is to define the efficacy of a continuous glucose monitoring system (CGMS) and link it to pro-inflammatory biomarkers while on insulin pump therapy in diabetic patients undergoing CABG. We prospectively assessed CGMS for 72 h in 105 patients including 52 diabetics undergoing isolated CABG. In diabetics, CGMS was connected to an insulin pump for precise glucose control. On top of conventional biomarkers (HbA1C, lipid profile), high sensitive C-reactive protein (hs-CRP), Regulated upon Activation Normal T cell Expressed and presumably Secreted (RANTES), and leptin levels were collected before surgery, 1 h, 12 h, 7 days, and at 1 year after CABG. Overall, CGMS revealed high glucose independently from underlying diabetes during first 48 h following CABG but was higher (p < 0.05) in diabetics. The insulin pump improved glycemic control over early follow-up (72 h) post-CABG. There were no hypoglycemic episodes in patients on insulin pump therapy and those receiving bolus insulin therapy. We revealed a lower rate of postpericardiotomy syndrome (PCTS) in patients on insulin pump therapy compared to patients prescribed bolus insulin therapy in the early postoperative period (p = 0.03). Hs-CRP and RANTES levels were lower in patients with T2DM on insulin pump therapy compared to patients prescribed bolus insulin therapy in the early postoperative period (p < 0.05). It is most likely due to the fact that insulin pump therapy decreases systemic inflammatory response. Further controlled trials should assess whether CGMS improves outcomes after cardiac surgery.
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Cheuk N, Worth LJ, Tatoulis J, Skillington P, Kyi M, Fourlanos S. The relationship between diabetes and surgical site infection following coronary artery bypass graft surgery in current-era models of care. J Hosp Infect 2021; 116:47-52. [PMID: 34332004 DOI: 10.1016/j.jhin.2021.07.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/28/2021] [Accepted: 07/22/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Although diabetes is a recognized risk factor for postoperative infections, the seminal Portland Diabetic Project studies in cardiac surgery demonstrated intravenous insulin infusions following open-cardiac surgery achieved near normal glycaemia and decreased deep sternal wound infection to similar rates to those without diabetes. AIM We sought to examine a contemporary cohort of patients undergoing coronary artery bypass graft surgery (CABGS) to evaluate the relationship between diabetes, hyperglycaemia and risk of surgical site infection (SSI) in current-era models of care. METHODS Consecutive patients who underwent CABGS between 2016 and 2018 were identified through a state-wide data repository for healthcare-associated infections. Clinical characteristics and records of postoperative SSIs were obtained from individual chart review. Type 2 diabetes (T2D), perioperative glycaemia and other clinical characteristics were analysed in relation to the development of SSI. FINDINGS Of the 953 patients evaluated, 11% developed SSIs a median eight days post CABGS, with few cases of deep SSIs (<1%). T2D was evident in 41% and more prevalent in those who developed SSIs (51%). On multivariate analysis T2D was not significantly associated with development of SSI (odds ratio (OR) 1.35; P=0.174) but body mass index (BMI) remained a significant risk factor (OR 1.07, P<0.001). In patients with T2D, perioperative glycaemia was not significantly associated with SSI. CONCLUSION In a specialist cardiac surgery centre using perioperative intravenous insulin infusions and antibiotic prophylaxis, deep SSIs were uncommon; however, approximately one in 10 patients developed superficial SSIs. T2D was not independently associated with SSI yet BMI was independently associated with SSI post CABGS.
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Affiliation(s)
- N Cheuk
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Australia.
| | - L J Worth
- Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, Doherty Institute, Australia; National Centre for Infections in Cancer, Sir Peter MacCallum Department of Oncology, University of Melbourne, Australia
| | - J Tatoulis
- Department of Cardiothoracic Surgery, Royal Melbourne Hospital, Australia
| | - P Skillington
- Department of Cardiothoracic Surgery, Royal Melbourne Hospital, Australia
| | - M Kyi
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Australia; Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Australia
| | - S Fourlanos
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Australia; Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Australia
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Dougherty SM, Schommer J, Salinas JL, Zilles B, Belding-Schmitt M, Rogers WK, Shibli-Rahhal A, O'Neill BT. Immediate preoperative hyperglycemia correlates with complications in non-cardiac surgical cases. J Clin Anesth 2021; 74:110375. [PMID: 34147016 PMCID: PMC8627687 DOI: 10.1016/j.jclinane.2021.110375] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 05/07/2021] [Accepted: 05/11/2021] [Indexed: 12/19/2022]
Abstract
Study objective: Assess for a relationship between immediate preoperative glucose concentrations and postoperative complications. Design: Retrospective cohort study. Setting: Single large, tertiary care academic medical center. Patients: A five-year registry of all patients at our hospital who had a glucose concentration (plasma, serum, or venous/capillary/arterial whole blood) measured up to 6 h prior to a non-emergent surgery. Interventions: The glucose registry was cross-referenced with a database from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP). We applied an outcomes review to the subset of patients for whom we had data from both registries (n = 1774). Measurements: Preoperative glucose concentration in the full population as well as the subgroups of patients with or without diabetes were correlated with adverse postsurgical outcomes using 1) univariable analysis and 2) full multivariable analysis correcting for 27 clinical factors available from the ACS NSQIP database. Logistic regression analysis was performed using glucose level either as a continuous variable or as a categorical variable according to the following classifications: mild (≥140 mg/dL; ≥7.8 mmol/L), moderate (≥180 mg/dL; ≥10 mmol/L), or severe (≥250 mg/dL; ≥13.9 mmol/L) hyperglycemia. A third analysis was performed correcting for 7 clinically important factors (age, BMI, predicted duration of procedure, sex, CKD stage, hypoalbuminemia, and diabetic status) identified by anesthesiologists and surgeons as immediately available and important for decision making. Main results: Univariable analysis of all patients and the subgroups of patients without diabetes or with diabetes showed that immediate preoperative mild or moderate hyperglycemia correlates with postoperative complications. Statistical significance was lost in most groups using full multivariable analysis, but not when correcting for the 7 factors available immediately preoperatively. However, for all patients with diabetes, moderate hyperglycemia (≥180 mg/dL; ≥10 mmol/L) continued to significantly correlate with complications even in the full multivariable analysis [odds ratio (OR) 1.79; 95% Confidence Intervals (CI) 1.10, 2.92], and with readmission/reoperation within 30 days [OR 1.93; 95% CI 1.18, 3.13]. Conclusions: Preoperative hyperglycemia within 6 h of surgery is a marker of adverse postoperative outcomes. Among patients with diabetes in our study, a preoperative glucose level ≥ 180 mg/dL (≥10 mmol/L) independently correlates with risk of postoperative complications and readmission/reoperation. These results should encourage future work to determine whether addressing immediate preoperative hyperglycemia can improve complication rates, or simply serves as a marker of higher risk.
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Affiliation(s)
- Sarah M Dougherty
- Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Julie Schommer
- Divison of Endocrinology, Department of Medicine, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Jorge L Salinas
- Division of Infectious Disease, Department of Medicine, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Barbara Zilles
- Program of Hospital Epidemiology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Mary Belding-Schmitt
- Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - W Kirke Rogers
- Department of Anesthesiology, University of Minnesota, Minneapolis, MN 55455, USA
| | - Amal Shibli-Rahhal
- Divison of Endocrinology, Department of Medicine, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Brian T O'Neill
- Divison of Endocrinology, Department of Medicine, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA; Fraternal Order of Eagles Diabetes Research Center and Division of Endocrinology and Metabolism, University of Iowa, Iowa City, IA 52242, USA; Veterans Affairs Health Care System, Iowa City, IA 52242, USA.
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Zhao Q, Zhang TY, Cheng YJ, Ma Y, Xu YK, Yang JQ, Zhou YJ. Prognostic Significance of Relative Hyperglycemia after Percutaneous Coronary Intervention in Patients with and without Recognized Diabetes. Curr Vasc Pharmacol 2021; 19:91-101. [PMID: 32183677 DOI: 10.2174/1570161118666200317145540] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 02/14/2020] [Accepted: 02/27/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND The research on the association between the relative glycemic level postpercutaneous coronary intervention (PCI) and adverse prognosis in non-ST-segment elevation acute coronary syndrome (NSTE-ACS) patients is relatively inadequate. OBJECTIVE The study aimed to identify whether the glycemic level post-PCI predicts adverse prognosis in NSTE-ACS patients. METHODS Patients (n=2465) admitted with NSTE-ACS who underwent PCI were enrolled. The relative glycemic level post-procedure was calculated as blood glucose level post-PCI divided by HbA1c level, which was named post-procedural glycemic index (PGI). The primary observational outcome of this study was major adverse cardiovascular events (MACE) [defined as a composite of all-cause death, non-fatal myocardial infarction (MI) and any revascularization]. RESULTS The association between PGI and MACE rate is presented as a U-shape curve. Higher PGIs [hazard ratio (HR): 1.669 (95% confidence interval (CI): 1.244-2.238) for the third quartile (Q3) and 2.076 (1.566-2.753) for the fourth quartile (Q4), p<0.001], adjusted for confounding factors, were considered to be one of the independent predictors of MACE. The association between the PGI and the risk of MACE was more prominent in the non-diabetic population [HR (95%CI) of 2.356 (1.456-3.812) for Q3 and 3.628 (2.265-5.812) for Q4, p<0.001]. There were no significant differences in MACE risk between PGI groups in the diabetic population. CONCLUSION Higher PGI was a significant and independent predictor of MACE in NSTE-ACS patients treated with PCI. The prognostic effect of the PGI is more remarkable in subsets without pre-existing diabetes than in the overall population. The predictive value of PGI was not identified in the subgroup with diabetes.
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Affiliation(s)
- Qi Zhao
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China
| | - Ting-Yu Zhang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China
| | - Yu-Jing Cheng
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China
| | - Yue Ma
- Research Center for Coronary Heart Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Ying-Kai Xu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China
| | - Jia-Qi Yang
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China
| | - Yu-Jie Zhou
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China
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Abstract
While intraoperative mortality has diminished greatly over the last several decades, the risk of death within 30 days of surgery remains stubbornly high and is ultimately related to perioperative organ failure. Perioperative strokes, while rare (<2% in noncardiac surgery), are associated with a more than 10-fold increase in mortality. Rapid identification and treatment are key to maximizing long-term outcomes. Postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) are separate but related perioperative neurological disorders, both of which are associated with poor long-term outcomes. To date, there are few known interventions that can ameliorate the risk of perioperative central nervous system dysfunction. Major adverse cardiac events (MACE) are a major contributor to adverse clinical outcomes following surgical procedures. Recently, advances in diagnostic strategies (eg, high-sensitivity cardiac troponin [hs-cTn] assays) have improved our understanding of MACE. Recently, the dabigatran in patients with myocardial injury after noncardiac surgery (MINS; Management of myocardial injury After NoncArdiac surGEry) trial demonstrated that a direct thrombin inhibitor could improve outcomes following MINS. While the risk of acute respiratory distress syndrome (ARDS) after surgery is approximately 0.2%, other less severe complications (eg, pneumonia, reintubation) are closer to 2%. While intensive care unit (ICU) concepts related to ARDS have migrated into the operating room, whether or not adverse pulmonary outcomes impact long-term outcomes in surgical patients remains a matter of debate. The standardization of acute kidney injury (AKI) definition has improved the ability of clinicians to measure and study the incidence of this important source of perioperative morbidity. AKI is associated with increased mortality as well as nonrenal morbidity (eg, myocardial infarction) after major surgery. Gastrointestinal complications after surgery range from ileus (common in abdominal procedures and associated with an increased length of stay) to less common complications such as mesenteric ischemia and gastrointestinal bleeding, both of which are associated with very high mortality. Outside of cardiothoracic surgery, the incidence of perioperative hepatic injury is not well described but, in this population, is associated with worsened long-term outcomes. Hyperglycemia is a common perioperative complication and occurs in patients undergoing both cardiac and noncardiac surgery. Both hyper- and hypoglycemia are associated with worsened long-term outcomes in cardiac and noncardiac surgery. Better diagnosis and increased understanding of perioperative organ injury has led to an increased appreciation for the specific role that particular organ systems play in poor long-term outcomes and has set the stage for targeted therapeutic interventions.
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Effectiveness and safety of the Space GlucoseControl system for glycaemia control in caring for postoperative cardiac surgical patients. Aust Crit Care 2021; 35:136-142. [PMID: 33962858 DOI: 10.1016/j.aucc.2021.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Revised: 02/25/2021] [Accepted: 03/08/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Hyperglycaemia is a very common complication in post-cardiac surgical patients, and as such, it must be properly managed. For this purpose, the enhanced Model Predictive Control algorithm for glycaemia control has been implemented into a nurse-led device called Space GlucoseControl (SGC) that aims to achieve a safe and effective blood glucose control in a better way than the traditional "paper-based" protocols. PURPOSE The aim of the study was to know the effectiveness and safety of the SGC in glycaemia control in cardiosurgical adult patients in the immediate postoperative period in the intensive care unit. METHODS A prospective before-and-after intervention study was conducted. One hundred sixty cardiosurgical adult patients with hyperglycaemia were selected: 80 in the control group from May to November 2018 and 80 in the intervention group (use of the SGC device) from January to December 2019. The primary outcome was the percentage of time within the target range (140-180 mg/dL in the control group and 100-160 mg/dL in the intervention group). RESULTS The percentage of time within the target range was significantly higher in the SGC group than in the control group (70.5% [58.25-80] vs 54.83% [36.09-75], p < 0.001). The range was also achieved earlier with the SGC (5 [3-6.875] hours vs 7 [4-11] hours; p < 0.05). The first blood glucose value after reaching the target range was higher in the control group, with statistical significance (p < 0.05). There were no hypoglycaemia episodes in the control group. However, during SGC treatment, six episodes of hypoglycaemia occurred, and all of them were nonsevere (mean value = 61 mg/dL). CONCLUSION The SGC is useful to achieve a faster tight glycaemic control, with a higher percentage of time within the target range, although episodes of nonsevere hypoglycaemia could be observed.
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85
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Suggested Canadian Standards for Perioperative/Periprocedure Glycemic Management in Patients With Type 1 and Type 2 Diabetes. Can J Diabetes 2021; 46:99-107.e5. [PMID: 34210609 DOI: 10.1016/j.jcjd.2021.04.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 03/25/2021] [Accepted: 04/26/2021] [Indexed: 01/02/2023]
Abstract
OBJECTIVES The goal of this quality initiative was to develop consensus standards for glycemic management of patients with diabetes who undergo surgical procedures in Canada. METHODS A modified Delphi method was used to gather broad stakeholder input and arrive at a consensus for perioperative/periprocedure diabetes management. RESULTS Glycemic management standards were developed for the following categories: Organization of Care; Preoperative Assessment; Immediate Preoperative and Intraoperative; Postanesthesia Care Unit or Recovery Room; Postoperative Period; and Transition to Outpatient Care. CONCLUSIONS It is anticipated these standards will serve as a basis to develop clinical tools to support the recommendations.
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86
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Mendez CE, Walker RJ, Dawson AZ, Lu K, Egede LE. Using a Diabetes Risk Score to Identify Patients Without Diabetes at Risk for New Hyperglycemia in the Hospital. Endocr Pract 2021; 27:807-812. [PMID: 33887467 DOI: 10.1016/j.eprac.2021.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 04/07/2021] [Accepted: 04/08/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To assess the value of a validated diabetes risk test, the Cambridge Risk Score (CRS), to identify patients admitted to hospital without diabetes at risk for new hyperglycemia (NH). METHODS This retrospective cross-sectional study included adults admitted to a hospital over a 4-year period. Patients with no diabetes diagnosis and not on antidiabetics were included. The CRS was calculated for each patient, and those with available glycated hemoglobin (HbA1C) results were investigated in a second analysis. Multivariate regression analyses were performed to assess the association among CRS, HbA1C, and the risk for NH. RESULTS A total of 19,830 subjects comprised the sample, of which 38% were found to have developed NH, defined as a blood glucose level ≥140 mg/dL. After accounting for covariates, the CRS was significantly associated with NH (odds ratio [OR], 1.19 [1.16, 1.22]; P < .001). Only 17% of patients had their HbA1C values checked within 6 months of admission. Compared with patients without diabetes, patients with prediabetes based on their HbA1C level (OR, 1.59 [1.37, 1.86]; P < .001) and patients with undiagnosed diabetes (OR, 5.95 [3.50, 10.65]; P < .001) were also significantly more likely to have NH. CONCLUSION Results of this study show that the CRS and HbA1C levels were significantly associated with the risk of developing NH in inpatient adults without diabetes. Given that an HbA1C level was missing in most medical records of hospitalized patients without diabetes, the CRS could be a useful tool for early identification and management of NH, possibly leading to better outcomes.
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Affiliation(s)
- Carlos E Mendez
- Division of General Internal Medicine, Department of Medicine, Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin; Division of Diabetes and Endocrinology, Zablocki Veteran Affairs Medical Center, Milwaukee, Wisconsin; Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Rebekah J Walker
- Division of General Internal Medicine, Department of Medicine, Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin; Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Aprill Z Dawson
- Division of General Internal Medicine, Department of Medicine, Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin; Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Kevin Lu
- Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Leonard E Egede
- Division of General Internal Medicine, Department of Medicine, Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin; Center for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, Wisconsin.
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87
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Davis GM, Faulds E, Walker T, Vigliotti D, Rabinovich M, Hester J, Peng L, McLean B, Hannon P, Poindexter N, Saunders P, Perez-Guzman C, Tekwani SS, Martin GS, Umpierrez G, Agarwal S, Dungan K, Pasquel FJ. Remote Continuous Glucose Monitoring With a Computerized Insulin Infusion Protocol for Critically Ill Patients in a COVID-19 Medical ICU: Proof of Concept. Diabetes Care 2021; 44:1055-1058. [PMID: 33563655 PMCID: PMC7985417 DOI: 10.2337/dc20-2085] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 01/10/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The use of remote real-time continuous glucose monitoring (CGM) in the hospital has rapidly emerged to preserve personal protective equipment and reduce potential exposures during coronavirus disease 2019 (COVID-19). RESEARCH DESIGN AND METHODS We linked a hybrid CGM and point-of-care (POC) glucose testing protocol to a computerized decision support system for continuous insulin infusion and integrated a validation system for sensor glucose values into the electronic health record. We report our proof-of-concept experience in a COVID-19 intensive care unit. RESULTS All nine patients required mechanical ventilation and corticosteroids. During the protocol, 75.7% of sensor values were within 20% of the reference POC glucose with an associated average reduction in POC of 63%. Mean time in range (70-180 mg/dL) was 71.4 ± 13.9%. Sensor accuracy was impacted by mechanical interferences in four patients. CONCLUSIONS A hybrid protocol integrating real-time CGM and POC is helpful for managing critically ill patients with COVID-19 requiring insulin infusion.
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Affiliation(s)
- Georgia M Davis
- Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Eileen Faulds
- Division of Endocrinology, The Ohio State University, Columbus, OH
| | - Tara Walker
- Information Technology, Grady Health System, Atlanta, GA
| | | | | | - Joi Hester
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA
| | - Limin Peng
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Barbara McLean
- Division of Critical Care, Grady Health System, Atlanta, GA
| | | | | | | | - Citlalli Perez-Guzman
- Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Seema S Tekwani
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Emory University School of Medicine, Atlanta, GA
| | - Greg S Martin
- Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Emory University School of Medicine, Atlanta, GA
| | - Guillermo Umpierrez
- Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Shivani Agarwal
- Fleischer Institute for Diabetes and Metabolism, New York Regional Center for Diabetes Translational Research, Albert Einstein College of Medicine, Bronx, NY
| | - Kathleen Dungan
- Division of Endocrinology, The Ohio State University, Columbus, OH
| | - Francisco J Pasquel
- Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA
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88
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Pajares MA, Margarit JA, García-Camacho C, García-Suarez J, Mateo E, Castaño M, López Forte C, López Menéndez J, Gómez M, Soto MJ, Veiras S, Martín E, Castaño B, López Palanca S, Gabaldón T, Acosta J, Fernández Cruz J, Fernández López AR, García M, Hernández Acuña C, Moreno J, Osseyran F, Vives M, Pradas C, Aguilar EM, Bel Mínguez AM, Bustamante-Munguira J, Gutiérrez E, Llorens R, Galán J, Blanco J, Vicente R. Guidelines for enhanced recovery after cardiac surgery. Consensus document of Spanish Societies of Anesthesia (SEDAR), Cardiovascular Surgery (SECCE) and Perfusionists (AEP). REVISTA ESPANOLA DE ANESTESIOLOGIA Y REANIMACION 2021; 68:183-231. [PMID: 33541733 DOI: 10.1016/j.redar.2020.11.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 11/03/2020] [Accepted: 11/09/2020] [Indexed: 01/28/2023]
Abstract
The ERAS guidelines are intended to identify, disseminate and promote the implementation of the best, scientific evidence-based actions to decrease variability in clinical practice. The implementation of these practices in the global clinical process will promote better outcomes and the shortening of hospital and critical care unit stays, thereby resulting in a reduction in costs and in greater efficiency. After completing a systematic review at each of the points of the perioperative process in cardiac surgery, recommendations have been developed based on the best scientific evidence currently available with the consensus of the scientific societies involved.
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Affiliation(s)
- M A Pajares
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Universitari i Politècnic La Fe, Valencia, España.
| | - J A Margarit
- Servicio de Cirugía Cardiaca, Hospital Universitari de La Ribera, Valencia, España
| | - C García-Camacho
- Unidad de Perfusión del Servicio de Cirugía Cardiaca, Hospital Universitario Puerta del Mar,, Cádiz, España
| | - J García-Suarez
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Universitario Puerta de Hierro, Madrid, España
| | - E Mateo
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital General Universitario de Valencia, Valencia, España
| | - M Castaño
- Servicio de Cirugía Cardiaca, Complejo Asistencial Universitario de León, León, España
| | - C López Forte
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Universitari i Politècnic La Fe, Valencia, España
| | - J López Menéndez
- Servicio de Cirugía Cardiaca, Hospital Ramón y Cajal, Madrid, España
| | - M Gómez
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Universitari de La Ribera, Valencia, España
| | - M J Soto
- Unidad de Perfusión, Servicio de Cirugía Cardiaca, Hospital Universitari de La Ribera, Valencia, España
| | - S Veiras
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Clínico Universitario de Santiago, Santiago de Compostela, España
| | - E Martín
- Servicio de Cirugía Cardiaca, Complejo Asistencial Universitario de León, León, España
| | - B Castaño
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Complejo Hospitalario de Toledo, Toledo, España
| | - S López Palanca
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital General Universitario de Valencia, Valencia, España
| | - T Gabaldón
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital General Universitario de Valencia, Valencia, España
| | - J Acosta
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Universitario Virgen del Rocío, Sevilla, España
| | - J Fernández Cruz
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Universitari de La Ribera, Valencia, España
| | - A R Fernández López
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Virgen Macarena, Sevilla, España
| | - M García
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital de la Santa Creu i Sant Pau, Barcelona, España
| | - C Hernández Acuña
- Servicio de Cirugía Cardiaca, Hospital Universitari de La Ribera, Valencia, España
| | - J Moreno
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital General Universitario de Valencia, Valencia, España
| | - F Osseyran
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Universitari i Politècnic La Fe, Valencia, España
| | - M Vives
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Universitari Dr. Josep Trueta, Girona, España
| | - C Pradas
- Servicio de Cirugía Cardiaca, Hospital Universitari Dr. Josep Trueta, Girona, España
| | - E M Aguilar
- Servicio de Cirugía Cardiaca, Hospital Universitario 12 de Octubre, Madrid, España
| | - A M Bel Mínguez
- Servicio de Cirugía Cardiaca, Hospital Universitari i Politècnic La Fe, Valencia, España
| | - J Bustamante-Munguira
- Servicio de Cirugía Cardiaca, Hospital Clínico Universitario de Valladolid, Valladolid, España
| | - E Gutiérrez
- Servicio de Cirugía Cardiaca, Hospital Universitario Virgen del Rocío, Sevilla, España
| | - R Llorens
- Servicio de Cirugía Cardiovascular, Hospiten Rambla, Santa Cruz de Tenerife, España
| | - J Galán
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital de la Santa Creu i Sant Pau, Barcelona, España
| | - J Blanco
- Unidad de Perfusión, Servicio de Cirugía Cardiovascular, Hospital Clínico Universitario Virgen de la Arrixaca, Murcia, España
| | - R Vicente
- Servicio de Anestesiología, Reanimación y Terapéutica del Dolor, Hospital Universitari i Politècnic La Fe, Valencia, España
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89
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Roque P, Nakadate Y, Sato H, Sato T, Wykes L, Kawakami A, Yokomichi H, Matsukawa T, Schricker T. Intranasal administration of 40 and 80 units of insulin does not cause hypoglycemia during cardiac surgery: a randomized controlled trial. Can J Anaesth 2021; 68:991-999. [PMID: 33721199 DOI: 10.1007/s12630-021-01969-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 12/30/2020] [Accepted: 01/02/2021] [Indexed: 11/26/2022] Open
Abstract
PURPOSE Intranasal insulin administration may improve cognitive function in patients with dementia and may prevent cognitive problems after surgery. Although the metabolic effects of intranasal insulin in non-surgical patients have been studied, its influence on glucose concentration during surgery is unknown. METHODS We conducted a randomized, double-blind, placebo-contolled trial in patients scheduled for elective cardiac surgery. Patients with type 2 diabetes mellitus (T2DM) and non-T2DM patients were randomly allocated to one of three groups (normal saline, 40 international units [IU] of intranasal insulin, and 80 IU intranasal insulin). Insulin was given after the induction of general anesthesia. Glucose and plasma insulin concentrations were measured in ten-minute intervals during the first hour and every 30 min thereafter. The primary outcome was the change in glucose concentration 30 min after intranasal insulin administration. RESULTS A total of 115 patients were studied, 43 of whom had T2DM. In non-T2DM patients, 40 IU intranasal insulin did not affect glucose concentration, while 80 IU intranasal insulin led to a statistically significant but not clinically important decrease in blood glucose levels (mean difference, 0.4 mMol·L-1; 95% confidence interval, 0.1 to 0.7). In T2DM patients, neither 40 IU nor 80 IU of insulin affected glucose concentration. No hypoglycemia (< 4.0 mMol·L-1) was observed after intranasal insulin administration in any patients. In non-T2DM patients, changes in plasma insulin were similar in the three groups. In T2DM patients, there was an increase in plasma insulin concentrations ten minutes after administration of 80 IU of intranasal insulin compared with saline. CONCLUSIONS In patients with and without T2DM undergoing elective cardiac surgery, intranasal insulin administration at doses as high as 80 IU did not cause clinically important hypoglycemia. TRIAL REGISTRATION www.ClinicalTrials.gov (NCT02729064); registered 5 April 2016.
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Affiliation(s)
- Patricia Roque
- School of Human Nutrition, McGill University, Ste-Anne-de-Bellevue, Montreal, QC, Canada
| | - Yosuke Nakadate
- Department of Anesthesiology, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, 409-3898, Japan.
| | - Hiroaki Sato
- Department of Anesthesia, McGill University Health Centre Glen Site, Royal Victoria Hospital, Montreal, QC, Canada
| | - Tamaki Sato
- Department of Anesthesia, McGill University Health Centre Glen Site, Royal Victoria Hospital, Montreal, QC, Canada
| | - Linda Wykes
- School of Human Nutrition, McGill University, Ste-Anne-de-Bellevue, Montreal, QC, Canada
| | - Akiko Kawakami
- Department of Anesthesia, McGill University Health Centre Glen Site, Royal Victoria Hospital, Montreal, QC, Canada
| | - Hiroshi Yokomichi
- Department of Health science, University of Yamanashi, Shimokato, Chuo, Yamanashi, Japan
| | - Takashi Matsukawa
- Department of Health science, University of Yamanashi, Shimokato, Chuo, Yamanashi, Japan
| | - Thomas Schricker
- Department of Anesthesia, McGill University Health Centre Glen Site, Royal Victoria Hospital, Montreal, QC, Canada
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90
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Rao RH, Perreiah PL, Cunningham CA. Monitoring the Impact of Aggressive Glycemic Intervention during Critical Care after Cardiac Surgery with a Glycemic Expert System for Nurse-Implemented Euglycemia: The MAGIC GENIE Project. J Diabetes Sci Technol 2021; 15:251-264. [PMID: 33650454 PMCID: PMC8256075 DOI: 10.1177/1932296821995568] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A novel, multi-dimensional protocol named GENIE has been in use for intensive insulin therapy (IIT, target glucose <140 mg/dL) in the surgical intensive care unit (SICU) after open heart surgery (OHS) at VA Pittsburgh since 2005. Despite concerns over increased mortality from IIT after the publication of the NICE-SUGAR Trial, it remains in use, with ongoing monitoring under the MAGIC GENIE Project showing that GENIE performance over 12 years (2005-2016) aligns with the current consensus that IIT with target blood glucose (BG) <140 mg/dL is advisable only if it does not provoke severe hypoglycemia (SH). Two studies have been conducted to monitor glucometrics and outcomes during GENIE use in the SICU. One compares GENIE (n = 382) with a traditional IIT protocol (FORMULA, n = 289) during four years of contemporaneous use (2005-2008). The other compares GENIE's impact overall (n = 1404) with a cohort of patients who maintained euglycemia after OHS (euglycemic no-insulin [ENo-I], n = 111) extending across 12 years (2005-2016). GENIE performed significantly better than FORMULA during contemporaneous use, maintaining lower time-averaged glucose, provoking less frequent, severe, prolonged, or repetitive hypoglycemia, and achieving 50% lower one-year mortality, with no deaths from mediastinitis (0 of 8 cases vs 4 of 9 on FORMULA). Those benefits were sustained over the subsequent eight years of exclusive use in OHS patients, with an overall one-year mortality rate (4.2%) equivalent to the ENo-I cohort (4.5%). The results of the MAGIC GENIE Project show that GENIE can maintain tight glycemic control without provoking SH in patients undergoing OHS, and may be associated with a durable survival benefit. The results, however, await confirmation in a randomized control trial.
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Affiliation(s)
- R. Harsha Rao
- Division of Endocrinology, Medicine
Service Line, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
- R. Harsha Rao, MD, FRCP, Professor of
Medicine and Chief of Endocrinology, VA Pittsburgh Healthcare System, Room
7W-109 VAPHS, University Drive Division, Pittsburgh, PA 15240, USA. Emails:
;
| | - Peter L. Perreiah
- Division of Endocrinology, Medicine
Service Line, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
| | - Candace A. Cunningham
- Division of Endocrinology, Medicine
Service Line, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA
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91
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Margarit JA, Pajares MA, García-Camacho C, Castaño-Ruiz M, Gómez M, García-Suárez J, Soto-Viudez MJ, López-Menéndez J, Martín-Gutiérrez E, Blanco-Morillo J, Mateo E, Hernández-Acuña C, Vives M, Llorens R, Fernández-Cruz J, Acosta J, Pradas-Irún C, García M, Aguilar-Blanco EM, Castaño B, López S, Bel A, Gabaldón T, Fernández-López AR, Gutiérrez-Carretero E, López-Forte C, Moreno J, Galán J, Osseyran F, Bustamante-Munguira J, Veiras S, Vicente R. Vía clínica de recuperación intensificada en cirugía cardiaca. Documento de consenso de la Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor (SEDAR), la Sociedad Española de Cirugía Cardiovascular y Endovascular (SECCE) y la Asociación Española de Perfusionistas (AEP). CIRUGIA CARDIOVASCULAR 2021. [DOI: 10.1016/j.circv.2020.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
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92
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Pasquel FJ, Lansang MC, Dhatariya K, Umpierrez GE. Management of diabetes and hyperglycaemia in the hospital. Lancet Diabetes Endocrinol 2021; 9:174-188. [PMID: 33515493 PMCID: PMC10423081 DOI: 10.1016/s2213-8587(20)30381-8] [Citation(s) in RCA: 161] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 10/25/2020] [Accepted: 11/02/2020] [Indexed: 01/08/2023]
Abstract
Hyperglycaemia in people with and without diabetes admitted to the hospital is associated with a substantial increase in morbidity, mortality, and health-care costs. Professional societies have recommended insulin therapy as the cornerstone of inpatient pharmacological management. Intravenous insulin therapy is the treatment of choice in the critical care setting. In non-intensive care settings, several insulin protocols have been proposed to manage patients with hyperglycaemia; however, meta-analyses comparing different treatment regimens have not clearly endorsed the benefits of any particular strategy. Clinical guidelines recommend stopping oral antidiabetes drugs during hospitalisation; however, in some countries continuation of oral antidiabetes drugs is commonplace in some patients with type 2 diabetes admitted to hospital, and findings from clinical trials have suggested that non-insulin drugs, alone or in combination with basal insulin, can be used to achieve appropriate glycaemic control in selected populations. Advances in diabetes technology are revolutionising day-to-day diabetes care and work is ongoing to implement these technologies (ie, continuous glucose monitoring, automated insulin delivery) for inpatient care. Additionally, transformations in care have occurred during the COVID-19 pandemic, including the use of remote inpatient diabetes management-research is needed to assess the effects of such adaptations.
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Affiliation(s)
- Francisco J Pasquel
- Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
| | - M Cecilia Lansang
- Department of Endocrinology, Diabetes and Metabolism, Cleveland Clinic, Cleveland, OH, USA
| | - Ketan Dhatariya
- Elsie Bertram Diabetes Centre, Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK
| | - Guillermo E Umpierrez
- Division of Endocrinology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
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93
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Cardona S, Tsegka K, Pasquel FJ, Jacobs S, Halkos M, Keeling WB, Davis GM, Fayfman M, Albury B, Urrutia MA, Galindo RJ, Migdal AL, Macheers S, Guyton RA, Vellanki P, Peng L, Umpierrez GE. Sitagliptin for the prevention and treatment of perioperative hyperglycaemia in patients with type 2 diabetes undergoing cardiac surgery: A randomized controlled trial. Diabetes Obes Metab 2021; 23:480-488. [PMID: 33140566 PMCID: PMC8573668 DOI: 10.1111/dom.14241] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 10/02/2020] [Accepted: 10/25/2020] [Indexed: 12/14/2022]
Abstract
AIM To assess whether treatment with sitagliptin, starting before surgery and continued during the hospital stay, can prevent and reduce the severity of perioperative hyperglycaemia in patients with type 2 diabetes undergoing coronary artery bypass graft (CABG) surgery. MATERIALS AND METHODS We conducted a double-blinded, placebo-controlled trial in adults with type 2 diabetes randomly assigned to receive sitagliptin or matching placebo starting 1 day prior to surgery and continued during the hospital stay. The primary outcome was difference in the proportion of patients with postoperative hyperglycaemia (blood glucose [BG] > 10 mmol/L [>180 mg/dL]) in the intensive care unit (ICU). Secondary endpoints included differences in mean daily BG in the ICU and after transition to regular wards, hypoglycaemia, hospital complications, length of stay and need of insulin therapy. RESULTS We included 182 participants randomized to receive sitagliptin or placebo (91 per group, age 64 ± 9 years, HbA1c 7.6% ± 1.5% and diabetes duration 10 ± 9 years). There were no differences in the number of patients with postoperative BG greater than 10 mmol/L, mean daily BG in the ICU or after transition to regular wards, hypoglycaemia, hospital complications or length of stay. There were no differences in insulin requirements in the ICU; however, sitagliptin therapy was associated with lower mean daily insulin requirements (21.1 ± 18.4 vs. 32.5 ± 26.3 units, P = .007) after transition to a regular ward compared with placebo. CONCLUSION The administration of sitagliptin prior to surgery and during the hospital stay did not prevent perioperative hyperglycaemia or complications after CABG. Sitagliptin therapy was associated with lower mean daily insulin requirements after transition to regular wards.
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Affiliation(s)
| | | | | | - Sol Jacobs
- Department of Medicine, Emory University, Atlanta, Georgia
| | - Michael Halkos
- Joseph B. Whitehead Department of Surgery, Emory University, Atlanta, Georgia
| | - W. Brent Keeling
- Joseph B. Whitehead Department of Surgery, Emory University, Atlanta, Georgia
| | | | - Maya Fayfman
- Department of Medicine, Emory University, Atlanta, Georgia
| | - Bonnie Albury
- Department of Medicine, Emory University, Atlanta, Georgia
| | | | | | | | - Steven Macheers
- Joseph B. Whitehead Department of Surgery, Emory University, Atlanta, Georgia
| | - Robert A. Guyton
- Joseph B. Whitehead Department of Surgery, Emory University, Atlanta, Georgia
| | | | - Limin Peng
- Rollins School of Public Health, Emory University, Atlanta, Georgia
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94
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Klonoff DC, Messler JC, Umpierrez GE, Peng L, Booth R, Crowe J, Garrett V, McFarland R, Pasquel FJ. Association Between Achieving Inpatient Glycemic Control and Clinical Outcomes in Hospitalized Patients With COVID-19: A Multicenter, Retrospective Hospital-Based Analysis. Diabetes Care 2021; 44:578-585. [PMID: 33323475 PMCID: PMC7818335 DOI: 10.2337/dc20-1857] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 11/10/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Diabetes and hyperglycemia are important risk factors for poor outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19). We hypothesized that achieving glycemic control soon after admission, in both intensive care unit (ICU) and non-ICU settings, could affect outcomes in patients with COVID-19. RESEARCH DESIGN AND METHODS We analyzed pooled data from the Glytec national database including 1,544 patients with COVID-19 from 91 hospitals in 12 states. Patients were stratified according to achieved mean glucose category in mg/dL (≤7.77, 7.83-10, 10.1-13.88, and >13.88 mmol/L; ≤140, 141-180, 181-250, and >250 mg/dL) during days 2-3 in non-ICU patients or on day 2 in ICU patients. We conducted a survival analysis to determine the association between glucose category and hospital mortality. RESULTS Overall, 18.1% (279/1,544) of patients died in the hospital. In non-ICU patients, severe hyperglycemia (blood glucose [BG] >13.88 mmol/L [250 mg/dL]) on days 2-3 was independently associated with high mortality (adjusted hazard ratio [HR] 7.17; 95% CI 2.62-19.62) compared with patients with BG <7.77 mmol/L (140 mg/dL). This relationship was not significant for admission glucose (HR 1.465; 95% CI 0.683-3.143). In patients admitted directly to the ICU, severe hyperglycemia on admission was associated with increased mortality (adjusted HR 3.14; 95% CI 1.44-6.88). This relationship was not significant on day 2 (HR 1.40; 95% CI 0.53-3.69). Hypoglycemia (BG <70 mg/dL) was also associated with increased mortality (odds ratio 2.2; 95% CI 1.35-3.60). CONCLUSIONS Both hyperglycemia and hypoglycemia were associated with poor outcomes in patients with COVID-19. Admission glucose was a strong predictor of death among patients directly admitted to the ICU. Severe hyperglycemia after admission was a strong predictor of death among non-ICU patients.
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Affiliation(s)
- David C Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA
| | | | - Guillermo E Umpierrez
- Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA
| | - Limin Peng
- Rollins School of Public Health, Emory University, Atlanta, GA
| | | | | | | | | | - Francisco J Pasquel
- Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA
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95
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Egi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada T, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, et alEgi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada T, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, Yamada H, Yamamoto R, Yoshida T, Yoshida Y, Yoshimura J, Yotsumoto R, Yonekura H, Wada T, Watanabe E, Aoki M, Asai H, Abe T, Igarashi Y, Iguchi N, Ishikawa M, Ishimaru G, Isokawa S, Itakura R, Imahase H, Imura H, Irinoda T, Uehara K, Ushio N, Umegaki T, Egawa Y, Enomoto Y, Ota K, Ohchi Y, Ohno T, Ohbe H, Oka K, Okada N, Okada Y, Okano H, Okamoto J, Okuda H, Ogura T, Onodera Y, Oyama Y, Kainuma M, Kako E, Kashiura M, Kato H, Kanaya A, Kaneko T, Kanehata K, Kano K, Kawano H, Kikutani K, Kikuchi H, Kido T, Kimura S, Koami H, Kobashi D, Saiki I, Sakai M, Sakamoto A, Sato T, Shiga Y, Shimoto M, Shimoyama S, Shoko T, Sugawara Y, Sugita A, Suzuki S, Suzuki Y, Suhara T, Sonota K, Takauji S, Takashima K, Takahashi S, Takahashi Y, Takeshita J, Tanaka Y, Tampo A, Tsunoyama T, Tetsuhara K, Tokunaga K, Tomioka Y, Tomita K, Tominaga N, Toyosaki M, Toyoda Y, Naito H, Nagata I, Nagato T, Nakamura Y, Nakamori Y, Nahara I, Naraba H, Narita C, Nishioka N, Nishimura T, Nishiyama K, Nomura T, Haga T, Hagiwara Y, Hashimoto K, Hatachi T, Hamasaki T, Hayashi T, Hayashi M, Hayamizu A, Haraguchi G, Hirano Y, Fujii R, Fujita M, Fujimura N, Funakoshi H, Horiguchi M, Maki J, Masunaga N, Matsumura Y, Mayumi T, Minami K, Miyazaki Y, Miyamoto K, Murata T, Yanai M, Yano T, Yamada K, Yamada N, Yamamoto T, Yoshihiro S, Tanaka H, Nishida O. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020). Acute Med Surg 2021; 8:e659. [PMID: 34484801 PMCID: PMC8390911 DOI: 10.1002/ams2.659] [Show More Authors] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020), a Japanese-specific set of clinical practice guidelines for sepsis and septic shock created as revised from J-SSCG 2016 jointly by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine, was first released in September 2020 and published in February 2021. An English-language version of these guidelines was created based on the contents of the original Japanese-language version. The purpose of this guideline is to assist medical staff in making appropriate decisions to improve the prognosis of patients undergoing treatment for sepsis and septic shock. We aimed to provide high-quality guidelines that are easy to use and understand for specialists, general clinicians, and multidisciplinary medical professionals. J-SSCG 2016 took up new subjects that were not present in SSCG 2016 (e.g., ICU-acquired weakness [ICU-AW], post-intensive care syndrome [PICS], and body temperature management). The J-SSCG 2020 covered a total of 22 areas with four additional new areas (patient- and family-centered care, sepsis treatment system, neuro-intensive treatment, and stress ulcers). A total of 118 important clinical issues (clinical questions, CQs) were extracted regardless of the presence or absence of evidence. These CQs also include those that have been given particular focus within Japan. This is a large-scale guideline covering multiple fields; thus, in addition to the 25 committee members, we had the participation and support of a total of 226 members who are professionals (physicians, nurses, physiotherapists, clinical engineers, and pharmacists) and medical workers with a history of sepsis or critical illness. The GRADE method was adopted for making recommendations, and the modified Delphi method was used to determine recommendations by voting from all committee members. As a result, 79 GRADE-based recommendations, 5 Good Practice Statements (GPS), 18 expert consensuses, 27 answers to background questions (BQs), and summaries of definitions and diagnosis of sepsis were created as responses to 118 CQs. We also incorporated visual information for each CQ according to the time course of treatment, and we will also distribute this as an app. The J-SSCG 2020 is expected to be widely used as a useful bedside guideline in the field of sepsis treatment both in Japan and overseas involving multiple disciplines.
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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97
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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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98
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Himes CP, Ganesh R, Wight EC, Simha V, Liebow M. Perioperative Evaluation and Management of Endocrine Disorders. Mayo Clin Proc 2020; 95:2760-2774. [PMID: 33168157 DOI: 10.1016/j.mayocp.2020.05.004] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 05/02/2020] [Accepted: 05/12/2020] [Indexed: 12/25/2022]
Abstract
Evaluation of endocrine issues is a sometimes overlooked yet important component of the preoperative medical evaluation. Patients with diabetes, thyroid disease, and hypothalamic-pituitary-adrenal axis suppression are commonly encountered in the surgical setting and require unique consideration to optimize perioperative risk. For patients with diabetes, perioperative glycemic control has the strongest association with postsurgical outcomes. The preoperative evaluation should include recommendations for adjustment of insulin and noninsulin diabetic medications before surgery. Recommendations differ based on the type of diabetes, the type of insulin, and the patient's predisposition to hyperglycemia or hypoglycemia. Generally, patients with thyroid dysfunction can safely undergo operations unless they have untreated hyperthyroidism or severe hypothyroidism. Patients with known primary or secondary adrenal insufficiency require supplemental glucocorticoids to prevent adrenal crisis in the perioperative setting. Evidence supporting the use of high-dose supplemental corticosteroids for patients undergoing long-term glucocorticoid therapy is sparse. We discuss an approach to these patients based on the dose and duration of ongoing or recent corticosteroid therapy. As with other components of the preoperative medical evaluation, the primary objective is identification and assessment of the severity of endocrine issues before surgery so that the surgeons, anesthesiologists, and internal medicine professionals can optimize management accordingly.
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Affiliation(s)
- Carina P Himes
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN.
| | - Ravindra Ganesh
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN
| | | | - Vinaya Simha
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN
| | - Mark Liebow
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN
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Ekanayake PS, Juang PS, Kulasa K. Review of Intravenous and Subcutaneous Electronic Glucose Management Systems for Inpatient Glycemic Control. Curr Diab Rep 2020; 20:68. [PMID: 33165676 DOI: 10.1007/s11892-020-01364-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/26/2020] [Indexed: 11/29/2022]
Abstract
PURPOSE OF REVIEW The goal of this review is to summarize current literature on electronic glucose management systems (eGMS) and discuss their benefits and disadvantages in the inpatient setting. RECENT FINDINGS We review different versions of commercially available eGMS: Glucommander™ (Glytec, Greenville, SC), EndoToolR (MD Scientific LLC, Charlotte, NC), GlucoStabilizer™ (Medical Decision Network, Charlottesville, VA), GlucoCare™ (Pronia Medical Systems, KY), and discuss advantages such as reducing rates of hypoglycemia, hyperglycemia, and glycemic variability. In addition, eCGMs offer a uniform standard of care and may improve workflows across institutions as well reduce barriers. Despite ample literature on intravenous (IV) versions of eGMS, there is little published research on subcutaneous (SQ) insulin guidance. Although use of eGMS requires extensive training and institution-wide adoption, time spent on diabetes management is better facilitated by their use.
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Affiliation(s)
- Preethika S Ekanayake
- Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California, San Diego, San Diego, CA, USA.
| | - Patricia S Juang
- Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California, San Diego, San Diego, CA, USA
| | - Kristen Kulasa
- Department of Internal Medicine, Division of Endocrinology and Metabolism, University of California, San Diego, San Diego, CA, USA
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100
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Utility of bedside artificial pancreas for postoperative glycemic control in cardiac surgery. J Artif Organs 2020; 24:225-233. [DOI: 10.1007/s10047-020-01223-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Accepted: 10/21/2020] [Indexed: 01/23/2023]
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