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Boschi E, Friedman G, Moraes RB. Effects of Glycemic Variability in Critically Ill Patients with Coronavirus Disease 2019: A Retrospective Observational Study. Indian J Crit Care Med 2024; 28:381-386. [PMID: 38585321 PMCID: PMC10998520 DOI: 10.5005/jp-journals-10071-24688] [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: 01/01/2024] [Accepted: 03/05/2024] [Indexed: 04/09/2024] Open
Abstract
Aim and background Hyperglycemia is considered an adaptive metabolic manifestation of stress and is associated with poor outcomes. Herein, we analyzed the association between glycemic variability (GV) and hospital mortality in patients with coronavirus disease 2019 (COVID-19) admitted to the intensive care unit (ICU), and the association between GV and mechanical ventilation (MV), ICU stay, length of hospital stays, renal replacement therapy (RRT), hypoglycemia, nosocomial infections, insulin use, and corticosteroid class. Materials and methods In this retrospective observational study, we collected information on blood glucose levels during the first 10 days of hospitalization in a cohort of ICU patients with COVID-19 and its association with outcomes. Results In 239 patients, an association was observed between GV and hospital mortality between the first and last quartiles among patients without diabetes [odds ratio (OR), 3.78; confidence interval, 1.24-11.5]. A higher GV was associated with a greater need for RRT (p = 0.002), regular insulin (p < 0.001), and episodes of hypoglycemia (p < 0.001). Nosocomial infections were associated with intermediate GV quartiles (p = 0.02). The corticosteroid class had no association with GV (p = 0.21). Conclusion Glycemic variability was associated with high mortality in patients with COVID-19 and observed in the subgroup of patients without diabetes. Clinical significance Glycemic control in critically ill patients remains controversial and hyperglycemia is associated with worse outcomes. Diabetes mellitus (DM) is one of the most prevalent comorbidities in patients with COVID-19. In addition, they require corticosteroids due to pulmonary involvement, representing a challenge and an opportunity to better understand how glycemic changes can influence the outcome of these patients. How to cite this article Boschi E, Friedman G, Moraes RB. Effects of Glycemic Variability in Critically Ill Patients with Coronavirus Disease 2019: A Retrospective Observational Study. Indian J Crit Care Med 2024;28(4):381-386.
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Affiliation(s)
- Emerson Boschi
- Hospital Geral de Caxias do Sul, Postgraduate Program in Pneumological Sciences of Universidade Federal do Rio Grande do Sul (UFRGS); (RS, Brazil)
| | - Gilberto Friedman
- Programa de Pos-graduacao em Ciencias Pneumologicas, Universidade Federal do Rio Grande do Sul – School of Medicine, Porto Alegre, Rio Grande do Sul, Brazil
| | - Rafael B Moraes
- Intensive Care Unit, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
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Labib HA, Ali RM, Tharwat AI. Can statins reduce mortality in critically ill COVID-19 patients? A retrospective cohort study. EGYPTIAN JOURNAL OF ANAESTHESIA 2023. [DOI: 10.1080/11101849.2023.2173205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Affiliation(s)
- Heba A. Labib
- Department of Anesthesia, Intensive Care, and Pain Management, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Rania M. Ali
- Department of Anesthesia, Intensive Care, and Pain Management, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ayman I. Tharwat
- Department of Anesthesia, Intensive Care, and Pain Management, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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Zabuliene L, Kubiliute I, Urbonas M, Jancoriene L, Urboniene J, Ilias I. Hyperglycaemia and Its Prognostic Value in Patients with COVID-19 Admitted to the Hospital in Lithuania. Biomedicines 2023; 12:55. [PMID: 38255162 PMCID: PMC10813648 DOI: 10.3390/biomedicines12010055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 12/06/2023] [Accepted: 12/19/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Increased blood glucose levels atadmission are frequently observed in COVID-19 patients, even in those without pre-existing diabetes. Hyperglycaemia is associated with an increased incidence of severe COVID-19 infection. The aim of this study was to evaluate the association between hyperglycaemia at admission with the need for invasive mechanical ventilation (IMV) and in-hospital mortality in patients without diabetes who were hospitalized for COVID-19 infection. MATERIALS AND METHODS This retrospective observational study was conducted at Vilnius University Hospital Santaros Clinics, Lithuania with adult patients who tested positive for severe acute respiratory syndrome coronavirus 2 SARS-CoV-2 and were hospitalized between March 2020 and May 2021. Depersonalized data were retrieved from electronic medical records. Based on blood glucose levels on the day of admission, patients without diabetes were divided into 4 groups: patients with hypoglycaemia (blood glucose below 4.0 mmol/L), patients with normoglycaemia (blood glucose between ≥4.0 mmol/L and <6.1 mmol/L), patients with mild hyperglycaemia (blood glucose between ≥6.1 mmol/L and <7.8 mmol/L), and patients with intermittent hyperglycaemia (blood glucose levels ≥7.8 mmol/L and <11.1 mmol/L). A multivariable binary logistic regression model was created to determine the association between hyperglycaemia and the need for IMV. Survival analysis was performed to assess the effect of hyperglycaemia on outcome within 30 days of hospitalization. RESULTS Among 1945 patients without diabetes at admission, 1078 (55.4%) had normal glucose levels, 651 (33.5%) had mild hyperglycaemia, 196 (10.1%) had intermittent hyperglycaemia, and 20 (1.0%) had hypoglycaemia. The oddsratio (OR) for IMV in patients with intermittent hyperglycaemia was 4.82 (95% CI 2.70-8.61, p < 0.001), and the OR was 2.00 (95% CI 1.21-3.31, p = 0.007) in those with mild hyperglycaemia compared to patients presenting normal glucose levels. The hazardratio (HR) for 30-day in-hospital mortality in patients with mild hyperglycaemia was 1.62 (95% CI 1.10-2.39, p = 0.015), while the HR was 3.04 (95% CI 2.01-4.60, p < 0.001) in patients with intermittent hyperglycaemia compared to those with normoglycaemia at admission. CONCLUSIONS In COVID-19 patients without pre-existing diabetes, the presence of hyperglycaemia at admission is indicative of COVID-19-induced alterations in glucose metabolism and stress hyperglycaemia. Hyperglycaemia at admission in COVID-19 patients without diabetes is associated with an increased risk of invasive mechanical ventilation and in-hospital mortality. This finding highlights the importance for clinicians to carefully consider and select optimal support and treatment strategies for these patients. Further studies on the long-term consequences of hyperglycaemia in this specific population are warranted.
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Affiliation(s)
- Lina Zabuliene
- Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania;
| | - Ieva Kubiliute
- Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 08661 Vilnius, Lithuania; (I.K.); (L.J.)
| | - Mykolas Urbonas
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania
| | - Ligita Jancoriene
- Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, 08661 Vilnius, Lithuania; (I.K.); (L.J.)
| | - Jurgita Urboniene
- Center of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, 08661 Vilnius, Lithuania;
| | - Ioannis Ilias
- Department of Endocrinology, Diabetes and Metabolism, Elena Venizelou Hospital, 11521 Athens, Greece
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Zanini AC, Santos HD, Celes APM, Giuntini EB, Franco BDGDM. Determination of glycaemic response to the consumption of two specialised formulas for glycaemic control. Br J Nutr 2023; 130:1137-1143. [PMID: 36690581 DOI: 10.1017/s0007114523000144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
To assess the glycaemic response after ingestion of two specialised oral and enteral nutrition formulas for glycaemic control. The participants were sixteen healthy volunteers, aged 21-49 years, with normal glucose tolerance. The volunteers attended the tests fasting for 10 h, for 5 weeks, and consumed the reference food - glucose solution - for 3 weeks, and the two formulas DiamaxO and DiamaxIG in the following weeks, in amounts equivalent to 25 g of available carbohydrates. During the period of 120 min, seven blood samples were taken through capillary blood sampling to determine the glycaemic response. The glycaemic index (GI) was calculated according to the trapezoidal rule, ignoring areas below the fasting line. The glycaemic load (GL) was determined by the formula GL = ((GI(glucose = reference) × 'g' of available carbohydrate per serving]/100. The formulas showed low GI and GL. GI = 37·8 and GL = 6·6 for DiamaxO and GI = 21·5 and GL = 3·5 for DiamaxIG. The peak of the glycaemic response occurred 30 min after ingestion, with a marked difference in blood glucose between the Diamax products in relation to glucose. Differences were also significant at times 15, 45, 60 and 90 min in relation to glucose (ANOVA with post hoc Bonferroni, P < 0·005), but not between the two products. However, the AUC and the GI of DiamaxIG are significantly smaller than that of the DiamaxO second t test (P = 0·0059). The glycaemic response to the products is quite reduced, presenting a curve with a little accentuated shape, without high peak, especially in the modified product.
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Ali El Chab Parolin S, Benicio Stocco R, Kneipp Lopes JDC, Curcio Pereira MR, Massae Yamashita M, Domareski Goulart ME, Demeneck H, Olandoski M, Hermann de Souza Nunes L, Keniche Morisawa V, Fanhani Cracco LA, Busto Silva I, Silva Motta Júnior J, Veit Barreto D, Lenci Marques G, Proença de Moraes T, Pellegrino Baena C. Association between inpatient glycemic variability and COVID-19 mortality: a prospective study. Diabetol Metab Syndr 2023; 15:185. [PMID: 37697407 PMCID: PMC10494398 DOI: 10.1186/s13098-023-01157-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 08/28/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND This study aimed to determine the association between glycemic variability (GV) and mortality in hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS We prospectively analyzed data from inpatients (> 18 years old) with RT-PCR confirmed COVID-19 admitted between March 2020 and July 2021. All patients were hospitalized for more than 48 h and had at least six point-of-care capillary glucose tests obtained three times daily in the pre-prandial period during hospitalization. GV was measured using the glucose standard deviation (SD) and coefficient of variation (CV). ROC curve was adjusted to determine the SD and CV cutoff values associated with mortality (44.7 mg/dL and 27.5%, respectively); values above these were considered indicative of high GV. Logistic regression models were fitted to explore the association between GV and mortality in patients with and without diabetes. RESULTS A total of 628 patients were stratified into SD < 44.7 mg/dL (n = 357) versus ≥ 44.7 mg/dL (n = 271) and CV < 27.5% (n = 318) versus ≥ 27.5% (n = 310) groups. After controlling for age, sex, presence of diabetes mellitus (DM) and cardiovascular disease, we found a significant association between high GV and mortality (odds ratio 2.99 [1.88-4.77] for SD and 2.43 [1.54-3.85] for CV; p values < 0.001). The mortality rate was higher with SD ≥ 44.7 mg/dL and CV ≥ 27.5% compared to that with SD < 44.7 mg/dL and CV < 27.5%, regardless of DM (p < 0.001 for all). CONCLUSION High glycemic variability was independently associated with mortality in patients with and without DM, who were hospitalized with COVID-19.
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Affiliation(s)
- Salma Ali El Chab Parolin
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil.
| | - Rebecca Benicio Stocco
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Julia do Carmo Kneipp Lopes
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Marcos Roberto Curcio Pereira
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Milena Massae Yamashita
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | | | - Henrique Demeneck
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Marcia Olandoski
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | | | - Victor Keniche Morisawa
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Luiz Augusto Fanhani Cracco
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Isabela Busto Silva
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Jarbas Silva Motta Júnior
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Daniela Veit Barreto
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Gustavo Lenci Marques
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Thyago Proença de Moraes
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
| | - Cristina Pellegrino Baena
- Pontifical Catholic University of Paraná (PUCPR), Rua Imaculada Conceição, 1155, Curitiba, Paraná, 80215-901, Brazil
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Schlesinger S, Lang A, Christodoulou N, Linnerz P, Pafili K, Kuss O, Herder C, Neuenschwander M, Barbaresko J, Roden M. Risk phenotypes of diabetes and association with COVID-19 severity and death: an update of a living systematic review and meta-analysis. Diabetologia 2023; 66:1395-1412. [PMID: 37204441 PMCID: PMC10198038 DOI: 10.1007/s00125-023-05928-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 03/16/2023] [Indexed: 05/20/2023]
Abstract
AIMS/HYPOTHESIS To provide a systematic overview of the current body of evidence on high-risk phenotypes of diabetes associated with COVID-19 severity and death. METHODS This is the first update of our recently published living systematic review and meta-analysis. Observational studies investigating phenotypes in individuals with diabetes and confirmed SARS-CoV-2 infection with regard to COVID-19-related death and severity were included. The literature search was conducted from inception up to 14 February 2022 in PubMed, Epistemonikos, Web of Science and the COVID-19 Research Database and updated using PubMed alert to 1 December 2022. A random-effects meta-analysis was used to calculate summary relative risks (SRRs) with 95% CIs. The risk of bias was evaluated using the Quality in Prognosis Studies (QUIPS) tool and the certainty of evidence using the GRADE approach. RESULTS A total of 169 articles (147 new studies) based on approximately 900,000 individuals were included. We conducted 177 meta-analyses (83 on COVID-19-related death and 94 on COVID-19 severity). Certainty of evidence was strengthened for associations between male sex, older age, blood glucose level at admission, chronic insulin use, chronic metformin use (inversely) and pre-existing comorbidities (CVD, chronic kidney disease, chronic obstructive pulmonary disease) and COVID-19-related death. New evidence with moderate to high certainty emerged for the association between obesity (SRR [95% CI] 1.18 [1.04, 1.34], n=21 studies), HbA1c (53-75 mmol/mol [7-9%]: 1.18 [1.06, 1.32], n=8), chronic glucagon-like peptide-1 receptor agonist use (0.83 [0.71, 0.97], n=9), pre-existing heart failure (1.33 [1.21, 1.47], n=14), pre-existing liver disease (1.40 [1.17, 1.67], n=6), the Charlson index (per 1 unit increase: 1.33 [1.13, 1.57], n=2), high levels of C-reactive protein (per 5 mg/l increase: 1.07 [1.02, 1.12], n=10), aspartate aminotransferase level (per 5 U/l increase: 1.28 [1.06, 1.54], n=5), eGFR (per 10 ml/min per 1.73 m2 increase: 0.80 [0.71, 0.90], n=6), lactate dehydrogenase level (per 10 U/l increase: 1.03 [1.01, 1.04], n=7) and lymphocyte count (per 1×109/l increase: 0.59 [0.40, 0.86], n=6) and COVID-19-related death. Similar associations were observed between risk phenotypes of diabetes and severity of COVID-19, with some new evidence on existing COVID-19 vaccination status (0.32 [0.26, 0.38], n=3), pre-existing hypertension (1.23 [1.14, 1.33], n=49), neuropathy and cancer, and high IL-6 levels. A limitation of this study is that the included studies are observational in nature and residual or unmeasured confounding cannot be ruled out. CONCLUSIONS/INTERPRETATION Individuals with a more severe course of diabetes and pre-existing comorbidities had a poorer prognosis of COVID-19 than individuals with a milder course of the disease. REGISTRATION PROSPERO registration no. CRD42020193692. PREVIOUS VERSION This is a living systematic review and meta-analysis. The previous version can be found at https://link.springer.com/article/10.1007/s00125-021-05458-8 FUNDING: The German Diabetes Center (DDZ) is funded by the German Federal Ministry of Health and the Ministry of Culture and Science of the State North Rhine-Westphalia. This study was supported in part by a grant from the German Federal Ministry of Education and Research to the German Center for Diabetes Research (DZD).
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Affiliation(s)
- Sabrina Schlesinger
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany.
| | - Alexander Lang
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Nikoletta Christodoulou
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Philipp Linnerz
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Kalliopi Pafili
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Oliver Kuss
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
- Centre for Health and Society, Faculty of Medicine, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Herder
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Manuela Neuenschwander
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
| | - Janett Barbaresko
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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Liontos A, Biros D, Kavakli A, Matzaras R, Tsiakas I, Athanasiou L, Samanidou V, Konstantopoulou R, Vagias I, Panteli A, Pappa C, Kolios NG, Nasiou M, Pargana E, Milionis H, Christaki E. Glycemic Dysregulation, Inflammation and Disease Outcomes in Patients Hospitalized with COVID-19: Beyond Diabetes and Obesity. Viruses 2023; 15:1468. [PMID: 37515156 PMCID: PMC10386328 DOI: 10.3390/v15071468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 06/21/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023] Open
Abstract
INTRODUCTION During the COVID-19 pandemic, diabetes mellitus (DM) and obesity were associated with high rates of morbidity and mortality. The aim of this study was to investigate the relationship between markers of inflammation, disease severity, insulin resistance, hyperglycemia, and outcomes in COVID-19 patients with and without diabetes and obesity. MATERIALS AND METHODS Epidemiological, clinical, and laboratory data were collected from the University Hospital of Ioannina COVID-19 Registry and included hospitalized patients from March 2020 to December 2022. The study cohort was divided into three subgroups based on the presence of DM, obesity, or the absence of both. RESULTS In diabetic patients, elevated CRP, IL-6, TRG/HDL-C ratio, and TyG index, severe pneumonia, and hyperglycemia were associated with extended hospitalization. Increased IL-6, NLR, and decreased PFR were associated with a higher risk of death. In the obese subgroup, lower levels of PFR were associated with longer hospitalization and a higher risk of death, while severe lung disease and hyperglycemia were associated with extended hospitalization. In patients without DM or obesity severe pneumonia, NLR, CRP, IL-6, insulin resistance indices, and hyperglycemia during hospitalization were associated with longer hospitalization. CONCLUSION Inflammatory markers and disease severity indices were strongly associated with disease outcomes and hyperglycemia across all subgroups.
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Affiliation(s)
- Angelos Liontos
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | - Dimitrios Biros
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | | | - Rafail Matzaras
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | - Ilias Tsiakas
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | - Lazaros Athanasiou
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | - Valentini Samanidou
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | - Revekka Konstantopoulou
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | - Ioannis Vagias
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | - Aikaterini Panteli
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | - Christiana Pappa
- Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
| | | | - Maria Nasiou
- Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
| | - Eleni Pargana
- Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
| | - Haralampos Milionis
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
| | - Eirini Christaki
- 1st Division of Internal Medicine & Infectious Diseases Unit, University General Hospital of Ioannina, Faculty of Medicine, University of Ioannina, 45500 Ioannina, Greece
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D'Souza F, Buzzetti R, Pozzilli P. Diabetes, COVID-19, and questions unsolved. Diabetes Metab Res Rev 2023:e3666. [PMID: 37209039 DOI: 10.1002/dmrr.3666] [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: 02/11/2023] [Revised: 04/13/2023] [Accepted: 05/05/2023] [Indexed: 05/22/2023]
Abstract
Recent evidence suggests a role for Diabetes Mellitus in adverse outcomes from COVID-19 infection; yet the underlying mechanisms are not clear. Moreover, attention has turned to prophylactic vaccination to protect the population from COVID-19-related illness and mortality. We performed a comprehensive peer-reviewed literature search on an array of key terms concerning diabetes and COVID-19 seeking to address the following questions: 1. What role does diabetes play as an accelerator for adverse outcomes in COVID-19?; 2. What mechanisms underlie the differences in outcomes seen in people with diabetes?; 3. Are vaccines against COVID-19 efficacious in people with diabetes? The current literature demonstrates that diabetes is associated with an increased risk of adverse outcomes from COVID-19 infection, and post-COVID sequelae. Potential mechanisms include dysregulation of Angiotensin Converting Enzyme 2, Furin, CD147, and impaired immune cell responses. Hyperglycaemia is a key exacerbator of these mechanisms. Limited studies are available on COVID-19 vaccination in people with diabetes; however, the current literature suggests that vaccination is protective against adverse outcomes for this population. In summary, people with diabetes are a high-risk group that should be prioritised in vaccination efforts. Glycaemic optimisation is paramount to protecting this group from COVID-19-associated risk. Unsolved questions remain as to the molecular mechanisms underlying the adverse outcomes seen in people with diabetes; the functional impact of post-COVID symptoms on people with diabetes, their persistence, and management; how long-term vaccine efficacy is affected by diabetes, and the antibody levels that confer protection from adverse outcomes in COVID-19.
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Affiliation(s)
- Felecia D'Souza
- University College London Hospitals NHS Trust, London, UK
- Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Raffaella Buzzetti
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Paolo Pozzilli
- Department of Endocrinology & Diabetes, University Campus Bio-Medico, Rome, Italy
- Centre for Immunobiology, Barts and the London School of Medicine, Queen Mary University of London, London, UK
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Réa RR, Bernardelli RS, Kozesinski-Nakatani AC, Olandoski M, Martins-Junior MJ, Oliveira MC, Réa-Neto Á. Dysglycemias in patients admitted to ICUs with severe acute respiratory syndrome due to COVID-19 versus other causes - a cohort study. BMC Pulm Med 2023; 23:173. [PMID: 37193970 DOI: 10.1186/s12890-023-02439-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 04/17/2023] [Indexed: 05/18/2023] Open
Abstract
BACKGROUND Dysglycemias have been associated with worse prognosis in critically ill patients with COVID-19, but data on the association of dysglycemia with COVID-19 in comparison with other forms of severe acute respiratory syndrome are lacking. This study aimed to compare the occurrence of different glycemic abnormalities in patients with severe acute respiratory syndrome and COVID-19 admitted to intensive care units versus glycemic abnormalities in patients with severe acute respiratory syndrome from other causes, to evaluate the adjusted attributable risk associated with COVID-19 and dysglycemia and to assess the influence of these dysglycemias on mortality. METHODS We conducted a retrospective cohort of consecutive patients with severe acute respiratory syndrome and suspected COVID-19 hospitalized in intensive care units between March 11 and September 13, 2020, across eight hospitals in Curitiba-Brazil. The primary outcome was the influence of COVID-19 on the variation of the following parameters of dysglycemia: highest glucose level at admission, mean and highest glucose levels during ICU stay, mean glucose variability, percentage of days with hyperglycemia, and hypoglycemia during ICU stay. The secondary outcome was the influence of COVID-19 and each of the six parameters of dysglycemia on hospital mortality within 30 days from ICU admission. RESULTS The sample consisted of 841 patients, of whom 703 with and 138 without COVID-19. Comparing patients with and without COVID-19, those with COVID-19 had significantly higher glucose peaks at admission (165 mg/dL vs. 146 mg/dL; p = 0.002) and during ICU stay (242 mg/dL vs. 187md/dL; p < 0.001); higher mean daily glucose (149.7 mg/dL vs. 132.6 mg/dL; p < 0.001); higher percentage of days with hyperglycemia during ICU stay (42.9% vs. 11.1%; p < 0.001); and greater mean glucose variability (28.1 mg/dL vs. 25.0 mg/dL; p = 0.013). However, these associations were no longer statistically significant after adjustment for Acute Physiology and Chronic Health Evaluation II scores, Sequential Organ Failure Assessment scores, and C-reactive protein level, corticosteroid use and nosocomial infection. Dysglycemia and COVID-19 were each independent risk factors for mortality. The occurrence of hypoglycemia (< 70 mg/dL) during ICU stay was not associated with COVID-19. CONCLUSION Patients with severe acute respiratory syndrome due to COVID-19 had higher mortality and more frequent dysglycemia than patients with severe acute respiratory syndrome due to other causes. However, this association did not seem to be directly related to the SARS-CoV-2 infection.
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Affiliation(s)
- Rosângela Roginski Réa
- Internal Medicine Department, Endocrine Division (SEMPR), Federal University of Paraná, Curitiba, Paraná, Brazil
| | - Rafaella Stradiotto Bernardelli
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil
- School of Medicine and Life Sciences, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil
| | - Amanda Christina Kozesinski-Nakatani
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil
- ICU Department, Hospital Santa Casa de Curitiba, Curitiba, Paraná, Brazil
| | - Marcia Olandoski
- School of Medicine and Life Sciences, Pontifical Catholic University of Paraná, Curitiba, Paraná, Brazil
| | - Marcelo José Martins-Junior
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil
| | - Mirella Cristine Oliveira
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil
- ICU Department, Complexo Hospitalar do Trabalhador (CHT), Curitiba, Paraná, Brazil
| | - Álvaro Réa-Neto
- Internal Medicine Department, Endocrine Division (SEMPR), Federal University of Paraná, Curitiba, Paraná, Brazil.
- Center for Studies and Research in Intensive Care Medicine (CEPETI), 366 Monte Castelo Street, Curitiba, Paraná, 82590-300, Brazil.
- Internal Medicine Department, Federal University of Paraná, Curitiba, Paraná, Brazil.
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10
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Manique I, Abegão Matias A, Bouça B, Rego T, Cortez L, Sabino T, Panarra A, Rizzo M, Silva-Nunes J. Does the Hyperglycemia Impact on COVID-19 Outcomes Depend upon the Presence of Diabetes?-An Observational Study. Metabolites 2022; 12:1116. [PMID: 36422255 PMCID: PMC9693757 DOI: 10.3390/metabo12111116] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 07/30/2023] Open
Abstract
Diabetes mellitus (DM) has emerged as a major risk factor for COVID-19 severity and SARS-CoV-2 infection can worsen glycemic control and may precipitate new-onset diabetes. At-admission hyperglycemia (AH) is a known predictor for worse outcomes in many diseases and seems to have a similar effect in COVID-19 patients. In this study, we aimed to assess the impact of AH regardless of pre-existing diabetes mellitus and new-onset diabetes diagnosis in the clinical severity of COVID-19 inpatients in the first months of the pandemic. A retrospective monocentric study on 374 COVID-19 inpatients (209 males) was developed to assess associations between AH (blood glucose levels in the Emergency Department or the first 24 h of hospitalization greater than 140 mg/dL) and severity outcomes (disease severity, respiratory support, admission to Intensive Care Unit (ICU) and mortality) in patients with and without diabetes. Considering diabetic patients with AH (N = 68;18.1%) there was a correlation with COVID-19 severity (p = 0.03), invasive mechanical ventilation (p = 0.008), and ICU admission (p = 0.026). No correlation was present with any severity outcomes in diabetic patients without AH (N = 33; 8.8%). All of the New-onset Diabetes patients (N = 15; 4%) had AH, and 12 had severe COVID-19; additionally, five patients were admitted to the ICU and three patients died. However, severity outcomes did not reach statistical correlation significance in this group. In nondiabetic patients with AH (N = 51; 13.6%), there was a statistically significant association with the need for oxygen therapy (p = 0.001), invasive mechanical ventilation (p = 0.01), and ICU admission (p = 0.03). Our results support data regarding the impact of AH on severity outcomes. It also suggests an effect of AH on the prognosis of COVID-19 inpatients, regardless of the presence of pre-existing diabetes or new-onset diabetes. We reinforce the importance to assess at admission glycemia in all patients admitted with COVID-19.
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Affiliation(s)
- Inês Manique
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário Lisboa Central, Hospital de Curry Cabral, 1050-099 Lisbon, Portugal
| | - Alexandra Abegão Matias
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário Lisboa Central, Hospital de Curry Cabral, 1050-099 Lisbon, Portugal
| | - Bruno Bouça
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário Lisboa Central, Hospital de Curry Cabral, 1050-099 Lisbon, Portugal
| | - Teresa Rego
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário Lisboa Central, Hospital de Curry Cabral, 1050-099 Lisbon, Portugal
| | - Luísa Cortez
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário Lisboa Central, Hospital de Curry Cabral, 1050-099 Lisbon, Portugal
| | - Teresa Sabino
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário Lisboa Central, Hospital de Curry Cabral, 1050-099 Lisbon, Portugal
| | - António Panarra
- Functional Unit of Internal Medicine 7.2, Centro Hospitalar Universitário Lisboa Central, Hospital de Curry Cabral, 1050-099 Lisbon, Portugal
| | - Manfredi Rizzo
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, School of Medicine, University of Palermo, 90100 Palermo, Italy
| | - José Silva-Nunes
- Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar Universitário Lisboa Central, Hospital de Curry Cabral, 1050-099 Lisbon, Portugal
- Nova Medical School, Faculdade de Ciências Medicas, Universidade Nova de Lisboa, 1169-056 Lisbon, Portugal
- Health and Technology Research Center (H&TRC), Escola Superior de Tecnologia da Saúde de Lisboa, 1990-096 Lisbon, Portugal
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11
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Vasbinder A, Anderson E, Shadid H, Berlin H, Pan M, Azam TU, Khaleel I, Padalia K, Meloche C, O'Hayer P, Michaud E, Catalan T, Feroze R, Blakely P, Launius C, Huang Y, Zhao L, Ang L, Mikhael M, Mizokami-Stout K, Pennathur S, Kretzler M, Loosen SH, Chalkias A, Tacke F, Giamarellos-Bourboulis EJ, Reiser J, Eugen-Olsen J, Feldman EL, Pop-Busui R, Hayek SS. Inflammation, Hyperglycemia, and Adverse Outcomes in Individuals With Diabetes Mellitus Hospitalized for COVID-19. Diabetes Care 2022; 45:692-700. [PMID: 35045184 PMCID: PMC8918261 DOI: 10.2337/dc21-2102] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 12/19/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Diabetes mellitus (DM) is a major risk factor for severe coronavirus disease 2019 (COVID-19) for reasons that are unclear. RESEARCH DESIGN AND METHODS We leveraged the International Study of Inflammation in COVID-19 (ISIC), a multicenter observational study of 2,044 patients hospitalized with COVID-19, to characterize the impact of DM on in-hospital outcomes and assess the contribution of inflammation and hyperglycemia to the risk attributed to DM. We measured biomarkers of inflammation collected at hospital admission and collected glucose levels and insulin data throughout hospitalization. The primary outcome was the composite of in-hospital death, need for mechanical ventilation, and need for renal replacement therapy. RESULTS Among participants (mean age 60 years, 58.2% males), those with DM (n = 686, 33.5%) had a significantly higher cumulative incidence of the primary outcome (37.8% vs. 28.6%) and higher levels of inflammatory biomarkers than those without DM. Among biomarkers, DM was only associated with higher soluble urokinase plasminogen activator receptor (suPAR) levels in multivariable analysis. Adjusting for suPAR levels abrogated the association between DM and the primary outcome (adjusted odds ratio 1.23 [95% CI 0.78, 1.37]). In mediation analysis, we estimated the proportion of the effect of DM on the primary outcome mediated by suPAR at 84.2%. Hyperglycemia and higher insulin doses were independent predictors of the primary outcome, with effect sizes unaffected by adjusting for suPAR levels. CONCLUSIONS Our findings suggest that the association between DM and outcomes in COVID-19 is largely mediated by hyperinflammation as assessed by suPAR levels, while the impact of hyperglycemia is independent of inflammation.
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Affiliation(s)
- Alexi Vasbinder
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Elizabeth Anderson
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Husam Shadid
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Hanna Berlin
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Michael Pan
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Tariq U Azam
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Ibrahim Khaleel
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Kishan Padalia
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Chelsea Meloche
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Patrick O'Hayer
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Erinleigh Michaud
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Tonimarie Catalan
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Rafey Feroze
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Pennelope Blakely
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Christopher Launius
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Yiyuan Huang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Lili Zhao
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Lynn Ang
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Monica Mikhael
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Kara Mizokami-Stout
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Subramaniam Pennathur
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Matthias Kretzler
- Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Sven H Loosen
- Medical Faculty, Clinic for Gastroenterology, Hepatology and Infectious Diseases, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Athanasios Chalkias
- Faculty of Medicine, Department of Anesthesiology, University of Thessaly, Larisa, Greece.,Outcomes Research Consortium, Cleveland, OH
| | - Frank Tacke
- Department of Hepatology and Gastroenterology, Campus Charité Mitte and Campus Virchow-Klinikum, Charité Universitätsmedizin Berlin, Berlin, Germany
| | | | - Jochen Reiser
- Department of Medicine, Rush University Medical Center, Chicago, IL
| | - Jesper Eugen-Olsen
- Department of Clinical Research, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark
| | - Eva L Feldman
- Department of Neurology, University of Michigan, Ann Arbor, MI
| | - Rodica Pop-Busui
- Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Salim S Hayek
- Division of Cardiology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
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12
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Andrews L, Goldin L, Shen Y, Korwek K, Kleja K, Poland RE, Guy J, Sands KE, Perlin JB. Discontinuation of atorvastatin use in hospital is associated with increased risk of mortality in COVID-19 patients. J Hosp Med 2022; 17:169-175. [PMID: 35504528 PMCID: PMC9088329 DOI: 10.1002/jhm.12789] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/03/2022] [Accepted: 01/18/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND Statins are a commonly used class of drugs, and reports have suggested that their use may affect COVID-19 disease severity and mortality risk. OBJECTIVE The purpose of this analysis was to determine the effect of discontinuation of previous atorvastatin therapy in patients hospitalized for COVID-19 on the risk of mortality and ventilation. METHODS Data from 146,413 hospitalized COVID-19 patients were classified according to statin therapy. Home + in hospital atorvastatin use (continuation of therapy); home + no in hospital atorvastatin use (discontinuation of therapy); no home + no in hospital atorvastatin use (no statins). Logistic regression was performed to assess the association between atorvastatin administration and either mortality or use of mechanical ventilation during the encounter. RESULTS Continuous use of atorvastatin (home and in hospital) was associated with a 35% reduction in the odds of mortality compared to patients who received atorvastatin at home but not in hospital (odds ratio [OR]: 0.65, 95% confidence interval [CI]: 0.59-0.72, p < .001). Similarly, the odds of ventilation were lower with continuous atorvastatin therapy (OR: 0.70, 95% CI: 0.64-0.77, p < .001). CONCLUSIONS Discontinuation of previous atorvastatin therapy is associated with worse outcomes for COVID-19 patients. Providers should consider maintaining existing statin therapy for patients with known or suspected previous use.
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Affiliation(s)
- Laura Andrews
- Clinical Operations GroupHCA HealthcareNashvilleTennesseeUSA
| | - Laurel Goldin
- Clinical Operations GroupHCA HealthcareNashvilleTennesseeUSA
| | - Yan Shen
- Clinical Operations GroupHCA HealthcareNashvilleTennesseeUSA
| | - Kimberly Korwek
- Clinical Operations GroupHCA HealthcareNashvilleTennesseeUSA
| | - Kacie Kleja
- Clinical Operations GroupHCA HealthcareNashvilleTennesseeUSA
| | | | - Jeffrey Guy
- Clinical Operations GroupHCA HealthcareNashvilleTennesseeUSA
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13
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Langouche L, Van den Berghe G, Gunst J. Hyperglycemia and insulin resistance in COVID-19 versus non-COVID critical illness: Are they really different? Crit Care 2021; 25:437. [PMID: 34920750 PMCID: PMC8680062 DOI: 10.1186/s13054-021-03861-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 12/08/2021] [Indexed: 02/06/2023] Open
Affiliation(s)
- Lies Langouche
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Greet Van den Berghe
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Jan Gunst
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
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14
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Morse J, Gay W, Korwek KM, McLean LE, Poland RE, Guy J, Sands K, Perlin JB. Hyperglycaemia increases mortality risk in non-diabetic patients with COVID-19 even more than in diabetic patients. ENDOCRINOLOGY DIABETES & METABOLISM 2021; 4:e00291. [PMID: 34505406 PMCID: PMC8420416 DOI: 10.1002/edm2.291] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/17/2021] [Accepted: 07/08/2021] [Indexed: 01/08/2023]
Abstract
Aim Diabetes has been identified as a risk factor for poor outcomes in patients with COVID‐19. We examined the association of hyperglycaemia, both in the presence and absence of pre‐existing diabetes, with severity and outcomes in COVID‐19 patients. Methods Data from 74,148 COVID‐19‐positive inpatients with at least one recorded glucose measurement during their inpatient episode were analysed for presence of pre‐existing diabetes diagnosis and any glucose values in the hyperglycaemic range (>180 mg/dl). Results Among patients with and without a pre‐existing diabetes diagnosis on admission, mortality was substantially higher in the presence of high glucose measurements versus all measurements in the normal range (70–180 mg/dl) in both groups (non‐diabetics: 21.7% vs. 3.3%; diabetics 14.4% vs. 4.3%). When adjusting for patient age, BMI, severity on admission and oxygen saturation on admission, this increased risk of mortality persisted and varied by diabetes diagnosis. Among patients with a pre‐existing diabetes diagnosis, any hyperglycaemic value during the episode was associated with a substantial increase in the odds of mortality (OR: 1.77, 95% CI: 1.52–2.07); among patients without a pre‐existing diabetes diagnosis, this risk nearly doubled (OR: 3.07, 95% CI: 2.79–3.37). Conclusion This retrospective analysis identified hyperglycaemia in COVID‐19 patients as an independent risk factor for mortality after adjusting for the presence of diabetes and other known risk factors. This indicates that the extent of glucose control could serve as a mechanism for modifying the risk of COVID‐19 morality in the inpatient environment.
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Affiliation(s)
- Jennifer Morse
- Clinical Operations Group, HCA Healthcare, Nashville, TN, USA
| | - Wendy Gay
- Clinical Operations Group, HCA Healthcare, Nashville, TN, USA
| | | | - Laura E McLean
- Clinical Operations Group, HCA Healthcare, Nashville, TN, USA
| | | | - Jeffrey Guy
- Clinical Operations Group, HCA Healthcare, Nashville, TN, USA
| | - Kenneth Sands
- Clinical Operations Group, HCA Healthcare, Nashville, TN, USA
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