1
|
Voglová Hagerf B, Protus M, Nemetova L, Mraz M, Kieslichova E, Uchytilova E, Indrova V, Lelito J, Girman P, Haluzík M, Franekova J, Svirlochova V, Klonoff DC, Kohn MA, Jabor A. Accuracy and Feasibility of Real-time Continuous Glucose Monitoring in Critically Ill Patients After Abdominal Surgery and Solid Organ Transplantation. Diabetes Care 2024; 47:956-963. [PMID: 38412005 PMCID: PMC11116916 DOI: 10.2337/dc23-1663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 01/25/2024] [Indexed: 02/28/2024]
Abstract
OBJECTIVE Glycemia management in critical care is posing a challenge in frequent measuring and adequate insulin dose adjustment. In recent years, continuous glucose measurement has gained accuracy and reliability in outpatient and inpatient settings. The aim of this study was to assess the feasibility and accuracy of real-time continuous glucose monitoring (CGM) in ICU patients after major abdominal surgery. RESEARCH DESIGN AND METHODS We included patients undergoing pancreatic surgery and solid organ transplantation (liver, pancreas, islets of Langerhans, kidney) requiring an ICU stay after surgery. We used a Dexcom G6 sensor, placed in the infraclavicular region, for real-time CGM. Arterial blood glucose measured by the amperometric principle (ABL 800; Radiometer, Copenhagen, Denmark) served as a reference value and for calibration. Blood glucose was also routinely monitored by a StatStrip bedside glucose meter. Sensor accuracy was assessed by mean absolute relative difference (MARD), bias, modified Bland-Altman plot, and surveillance error grid for paired samples of glucose values from CGM and acid-base analyzer (ABL). RESULTS We analyzed data from 61 patients and obtained 1,546 paired glucose values from CGM and ABL. Active sensor use was 95.1%. MARD was 9.4%, relative bias was 1.4%, and 92.8% of values fell in zone A, 6.1% fell in zone B, and 1.2% fell in zone C of the surveillance error grid. Median time in range was 78%, with minimum (<1%) time spent in hypoglycemia. StatStrip glucose meter MARD compared with ABL was 5.8%. CONCLUSIONS Our study shows clinically applicable accuracy and reliability of Dexcom G6 CGM in postoperative ICU patients and a feasible alternative sensor placement site.
Collapse
Affiliation(s)
- Barbora Voglová Hagerf
- Department of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
- First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Marek Protus
- First Faculty of Medicine, Charles University, Prague, Czech Republic
- Department of Anesthesiology, Resuscitation and Intensive Care, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Lenka Nemetova
- Department of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Milos Mraz
- Department of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
- First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Eva Kieslichova
- First Faculty of Medicine, Charles University, Prague, Czech Republic
- Department of Anesthesiology, Resuscitation and Intensive Care, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Eva Uchytilova
- First Faculty of Medicine, Charles University, Prague, Czech Republic
- Department of Anesthesiology, Resuscitation and Intensive Care, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Veronika Indrova
- Department of Anesthesiology, Resuscitation and Intensive Care, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Jan Lelito
- Department of Anesthesiology, Resuscitation and Intensive Care, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Peter Girman
- Department of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Martin Haluzík
- Department of Diabetes, Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
- First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Janka Franekova
- Department of Laboratory Methods, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Veronika Svirlochova
- Department of Laboratory Methods, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA
| | | | - Antonin Jabor
- Department of Laboratory Methods, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| |
Collapse
|
2
|
Hassan J, Khan S, Zahra R, Razaq A, Zain A, Razaq L, Razaq M. Role of Procalcitonin and C-reactive Protein as Predictors of Sepsis and in Managing Sepsis in Postoperative Patients: A Systematic Review. Cureus 2022; 14:e31067. [PMID: 36475186 PMCID: PMC9719405 DOI: 10.7759/cureus.31067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2022] [Indexed: 11/06/2022] Open
Abstract
Systemic inflammatory response syndrome (SIRS) and sepsis are inflammatory responses to infection or trauma, causing symptoms and adverse outcomes such as organ shutdown and death. Different scoring systems can help in the diagnosis of SIRS and sepsis. Several biomarkers such as C-reactive protein (CRP), procalcitonin (PCT), and white blood cells (WBCs) can serve as predictors of sepsis. Surgery, trauma, and burns are the non-inflammatory causes of SIRS and sepsis. In postoperative patients, both inflammatory and non-inflammatory causes of immune response may co-exist. The role of inflammatory biomarkers in identifying sepsis development, deciding to use antibiotics, and discharging patients needs further exploration and clarity. We searched medical databases such as PubMed/Medline, PMC, ScienceDirect, Cochrane Library, and Google Scholar for relevant medical literature. The identified papers were screened, eligibility criteria were applied, and 15 research papers were identified. The finalized papers explored the roles of CRP and PCT in postoperative patients. Both CRP and PCT are raised in a postoperative patient, and then, gradually, the levels decrease. However, in case of an infection, these levels continue to rise and signify an infection, which may progress to sepsis. The cut-off values can guide decision-making about when to start antibiotics and discharge the patient. PCT was found to be more reliable in identifying the infection and preventing the development of sepsis. Further research is needed to identify the exact cut-off values that can help in decision-making.
Collapse
Affiliation(s)
- Junaid Hassan
- General Surgery, M. Islam Medical & Dental College/M. Islam Teaching Hospital, Gujranwala, PAK
| | - Safeera Khan
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Rukhe Zahra
- Family Medicine, Quaid-e-Azam Medical College, Bahawalpur, PAK
| | - Abdul Razaq
- Urology, District Headquarters Hospital Teaching Hospital, Faisalabad, PAK
| | - Ali Zain
- Specialized Health Care and Medical Education, Gujranwala Medical College, Gujranwala, PAK
| | - Laiba Razaq
- Internal Medicine, Akhtar Saeed Medical and Dental College, Lahore, PAK
| | - Mahrukh Razaq
- Obstetrics and Gynecology, Tehsil Headquarter Hospital, Gujranwala, PAK
| |
Collapse
|
3
|
Gao YL, Liu YC, Zhang X, Shou ST, Chai YF. Insight Into Regulatory T Cells in Sepsis-Associated Encephalopathy. Front Neurol 2022; 13:830784. [PMID: 35370925 PMCID: PMC8965708 DOI: 10.3389/fneur.2022.830784] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/18/2022] [Indexed: 01/09/2023] Open
Abstract
Sepsis-associated encephalopathy (SAE) is a diffuse central nervous system (CNS) dysfunction during sepsis, and is associated with increased mortality and poor outcomes in septic patients. Despite the high incidence and clinical relevance, the exact mechanisms driving SAE pathogenesis are not yet fully understood, and no specific therapeutic strategies are available. Regulatory T cells (Tregs) have a role in SAE pathogenesis, thought to be related with alleviation of sepsis-induced hyper-inflammation and immune responses, promotion of T helper (Th) 2 cells functional shift, neuroinflammation resolution, improvement of the blood-brain barrier (BBB) function, among others. Moreover, in a clinical point of view, these cells have the potential value of improving neurological and psychiatric/mental symptoms in SAE patients. This review aims to provide a general overview of SAE from its initial clinical presentation to long-term cognitive impairment and summarizes the main features of its pathogenesis. Additionally, a detailed overview on the main mechanisms by which Tregs may impact SAE pathogenesis is given. Finally, and considering that Tregs may be a novel target for immunomodulatory intervention in SAE, different therapeutic options, aiming to boost peripheral and brain infiltration of Tregs, are discussed.
Collapse
Affiliation(s)
- Yu-lei Gao
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
- Yu-lei Gao
| | - Yan-cun Liu
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiang Zhang
- Department of Emergency Medicine, Rizhao People's Hospital of Shandong Province, Rizhao, China
| | - Song-tao Shou
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan-fen Chai
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
- *Correspondence: Yan-fen Chai
| |
Collapse
|
4
|
Gao YL, Yao Y, Zhang X, Chen F, Meng XL, Chen XS, Wang CL, Liu YC, Tian X, Shou ST, Chai YF. Regulatory T Cells: Angels or Demons in the Pathophysiology of Sepsis? Front Immunol 2022; 13:829210. [PMID: 35281010 PMCID: PMC8914284 DOI: 10.3389/fimmu.2022.829210] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 02/07/2022] [Indexed: 12/12/2022] Open
Abstract
Sepsis is a syndrome characterized by life-threatening organ dysfunction caused by the dysregulated host response to an infection. Sepsis, especially septic shock and multiple organ dysfunction is a medical emergency associated with high morbidity, high mortality, and prolonged after-effects. Over the past 20 years, regulatory T cells (Tregs) have been a key topic of focus in all stages of sepsis research. Tregs play a controversial role in sepsis based on their heterogeneous characteristics, complex organ/tissue-specific patterns in the host, the multi-dimensional heterogeneous syndrome of sepsis, the different types of pathogenic microbiology, and even different types of laboratory research models and clinical research methods. In the context of sepsis, Tregs may be considered both angels and demons. We propose that the symptoms and signs of sepsis can be attenuated by regulating Tregs. This review summarizes the controversial roles and Treg checkpoints in sepsis.
Collapse
Affiliation(s)
- Yu-lei Gao
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
- *Correspondence: Yan-fen Chai, ; Yu-lei Gao,
| | - Ying Yao
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiang Zhang
- Department of Emergency Medicine, Rizhao People’s Hospital of Shandong Province, Rizhao, China
| | - Fang Chen
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiang-long Meng
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Xin-sen Chen
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Chao-lan Wang
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan-cun Liu
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Xin Tian
- Department of Medical Research, Beijing Qiansong Technology Development Company, Beijing, China
| | - Song-tao Shou
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan-fen Chai
- Department of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China
- *Correspondence: Yan-fen Chai, ; Yu-lei Gao,
| |
Collapse
|