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Recanatini C, GeurtsvanKessel CH, Pas SD, Broens EM, Maas M, van Mansfeld R, Mutsaers-van Oudheusden AJG, van Rijen M, Schippers EF, Stegeman A, Tami A, Veldkamp KE, Visser H, Voss A, Wegdam-Blans MCA, Wertheim HFL, Wever PC, Koopmans MPG, Kluytmans JAJW, Kluytmans-van den Bergh MFQ. Seroprevalence of SARS-CoV-2 antibodies among healthcare workers in Dutch hospitals after the 2020 first wave: a multicentre cross-sectional study with prospective follow-up. Antimicrob Resist Infect Control 2023; 12:137. [PMID: 38031155 PMCID: PMC10688070 DOI: 10.1186/s13756-023-01324-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 10/22/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND We aimed to estimate the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence and describe its determinants and associated symptoms among unvaccinated healthcare workers (HCWs) after the first wave of the pandemic. METHODS HCWs from 13 Dutch hospitals were screened for antibodies against the spike protein of SARS-CoV-2 in June-July 2020 and after three months. Participants completed a retrospective questionnaire on determinants for occupational and community exposure to SARS-CoV-2 and symptoms suggestive of COVID-19 experienced since January 2020. The seroprevalence was calculated per baseline characteristic and symptom at baseline and after follow-up. Adjusted odds ratios (aOR) for seropositivity were determined using logistic regression. RESULTS Among 2328 HCWs, 323 (13.9%) were seropositive at enrolment, 49 of whom (15%) reported no previous symptoms suggestive of COVID-19. During follow-up, only 1% of the tested participants seroconverted. Seroprevalence was higher in younger HCWs compared to the mid-age category (aOR 1.53, 95% CI 1.07-2.18). Nurses (aOR 2.21, 95% CI 1.34-3.64) and administrative staff (aOR 1.87, 95% CI 1.02-3.43) had a higher seroprevalence than physicians. The highest seroprevalence was observed in HCWs in the emergency department (ED) (aOR 1.79, 95% CI 1.10-2.91), the lowest in HCWs in the intensive, high, or medium care units (aOR 0.47, 95% CI 0.31-0.71). Chronic respiratory disease, smoking, and having a dog were independently associated with a lower seroprevalence, while HCWs with diabetes mellitus had a higher seroprevalence. In a multivariable model containing all self-reported symptoms since January 2020, altered smell and taste, fever, general malaise/fatigue, and muscle aches were positively associated with developing antibodies, while sore throat and chills were negatively associated. CONCLUSIONS The SARS-CoV-2 seroprevalence in unvaccinated HCWs of 13 Dutch hospitals was 14% in June-July 2020 and remained stable after three months. A higher seroprevalence was observed in the ED and among nurses, administrative and young staff, and those with diabetes mellitus, while a lower seroprevalence was found in HCWs in intensive, high, or medium care, and those with self-reported lung disease, smokers, and dog owners. A history of altered smell or taste, fever, muscle aches and fatigue were independently associated with the presence of SARS-CoV-2 antibodies in unvaccinated HCWs.
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Affiliation(s)
- Claudia Recanatini
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | | | - Suzan D Pas
- Microvida Laboratory for Medical Microbiology, Bravis Hospital, Roosendaal, The Netherlands
- Department of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Els M Broens
- Department Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Martje Maas
- Department of Internal Medicine, Bernhoven Hospital, Uden, The Netherlands
| | - Rosa van Mansfeld
- Department of Medical Microbiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Miranda van Rijen
- Department of Infection Control, Amphia Hospital, Breda, The Netherlands
| | - Emile F Schippers
- Department of Internal Medicine, Haga Hospital, The Hague, The Netherlands
| | - Arjan Stegeman
- Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands
| | - Adriana Tami
- Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Karin Ellen Veldkamp
- Department of Medical Microbiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Hannah Visser
- Department of Internal Medicine, Beatrix Hospital, Gorinchem, The Netherlands
| | - Andreas Voss
- Department of Medical Microbiology and Infectious Diseases, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
- Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marjolijn C A Wegdam-Blans
- Catharina Hospital, Eindhoven, The Netherlands
- Hospital St. Jans Gasthuis, Weert, The Netherlands
- Department of Medical Microbiology, Stichting PAMM, Veldhoven, The Netherlands
| | - Heiman F L Wertheim
- Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Peter C Wever
- Department of Medical Microbiology and Infection Control, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands
| | - Marion P G Koopmans
- Viroscience Department, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jan A J W Kluytmans
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Infection Control, Amphia Hospital, Breda, The Netherlands
- Department of Medical Microbiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Marjolein F Q Kluytmans-van den Bergh
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Infection Control, Amphia Hospital, Breda, The Netherlands
- Amphia Academy Infectious Disease Foundation, Amphia Hospital, Breda, The Netherlands
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Warpechowski J, Leszczyńska P, Juchnicka D, Olichwier A, Szczerbiński Ł, Krętowski AJ. Assessment of the Immune Response in Patients with Insulin Resistance, Obesity, and Diabetes to COVID-19 Vaccination. Vaccines (Basel) 2023; 11:1203. [PMID: 37515018 PMCID: PMC10383449 DOI: 10.3390/vaccines11071203] [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: 06/05/2023] [Revised: 07/01/2023] [Accepted: 07/03/2023] [Indexed: 07/30/2023] Open
Abstract
The SARS-CoV-19 pandemic overwhelmed multiple healthcare systems across the world. Patients with underlying medical conditions such as obesity or diabetes were particularly vulnerable, had more severe symptoms, and were more frequently hospitalized. To date, there have been many studies on the severity of SARS-CoV-2 in patients with metabolic disorders, but data on the efficiency of vaccines against COVID-19 are still limited. This paper aims to provide a comprehensive overview of the effectiveness of COVID-19 vaccines in individuals with diabetes, insulin resistance, and obesity. A comparison is made between the immune response after vaccination in patients with and without metabolic comorbidities. Additionally, an attempt is made to highlight the mechanisms of immune stimulation affected by SARS-CoV-2 vaccines and how metabolic comorbidities modulate these mechanisms. The focus is on the most common COVID-19 vaccines, which include mRNA vaccines such as Pfizer-BioNTech and Moderna, as well as viral vector vaccines such as AstraZeneca and Johnson & Johnson. Furthermore, an effort is made to clarify how the functional differences between these vaccines may impact the response in individuals with metabolic disorders, drawing from available experimental data. This review summarizes the current knowledge regarding the post-vaccination response to COVID-19 in the context of metabolic comorbidities such as diabetes, insulin resistance, and obesity.
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Affiliation(s)
- Jędrzej Warpechowski
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
| | - Paula Leszczyńska
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
| | - Dominika Juchnicka
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
| | - Adam Olichwier
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
- Department of Nutrition and Health Sciences, University of Nebraska-Lincoln, Lincoln, NE 68588, USA
| | - Łukasz Szczerbiński
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
- Department of Endocrinology, Diabetology and Internal Diseases, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
- Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of MIT and Harvard, 75 Ames Street, Cambridge, MA 02142, USA
| | - Adam Jacek Krętowski
- Clinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
- Department of Endocrinology, Diabetology and Internal Diseases, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, Poland
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Gholi Z, Vahdat Shariatpanahi Z, Yadegarynia D, Eini-Zinab H. Associations of body mass index with severe outcomes of COVID-19 among critically ill elderly patients: A prospective study. Front Nutr 2023; 10:993292. [PMID: 36908906 PMCID: PMC9994813 DOI: 10.3389/fnut.2023.993292] [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: 07/13/2022] [Accepted: 01/26/2023] [Indexed: 02/24/2023] Open
Abstract
Background and Aim Few studies assessed the associations of overweight and obesity with severe outcomes of coronavirus disease 2019 (COVID-19) among elderly patients. This study was conducted to assess overweight and obesity in relation to risk of mortality, delirium, invasive mechanical ventilation (IMV) requirement during treatment, re-hospitalization, prolonged hospitalization, and ICU admission among elderly patients with COVID-19. Methods This was a single-center prospective study that was done on 310 elderly patients with COVID-19 hospitalized in the intensive care unit (ICU). We collected data on demographic characteristics, laboratory parameters, nutritional status, blood pressure, comorbidities, medications, and types of mechanical ventilation at baseline. Patients were followed up during ICU admission and until 45 days after the first visit, and data on delirium incidence, mortality, need for a form of mechanical ventilation, discharge day from ICU and hospital, and re-hospitalization were recorded for each patient. Results During the follow-up period, we recorded 190 deaths, 217 cases of delirium, and 35 patients who required IMV during treatment. After controlling for potential confounders, a significant association was found between obesity and delirium such that obese patients with COVID-19 had a 62% higher risk of delirium compared with normal-weight patients (HR: 1.62, 95% CI: 1.02-2.57). This association was not observed for overweight. In terms of other outcomes including ICU/45-day mortality, IMV therapy during treatment, re-hospitalization, prolonged hospitalization, and ICU admission, we found no significant association with overweight and obesity either before or after controlling for potential confounders. Conclusion We found that obesity may be a risk factor for delirium among critically ill elderly patients with COVID-19.
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Affiliation(s)
- Zahra Gholi
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Vahdat Shariatpanahi
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Yadegarynia
- Infectious Disease and Tropical Medicine Research Center, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Hassan Eini-Zinab
- Department of Community Nutrition, Faculty of Nutrition and Food Technology, and National Nutrition and Food Technology Research Institute (WHO Collaborating Center), Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Belchior-Bezerra M, Lima RS, Medeiros NI, Gomes JAS. COVID-19, obesity, and immune response 2 years after the pandemic: A timeline of scientific advances. Obes Rev 2022; 23:e13496. [PMID: 35837843 PMCID: PMC9349458 DOI: 10.1111/obr.13496] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 02/06/2023]
Abstract
In the 2 years since the COVID-19 pandemic was officially declared, science has made considerable strides in understanding the disease's pathophysiology, pharmacological treatments, immune response, and vaccination, but there is still much room for further advances, especially in comprehending its relationship with obesity. Science has not yet described the mechanisms that explain how obesity is directly associated with a poor prognosis. This paper gathers all published studies over the past 2 years that have described immune response, obesity, and COVID-19, a historical and chronological record for researchers and the general public alike. In summary, these studies describe how the cytokine/adipokine levels and inflammatory markers, such as the C-reactive protein, are associated with a higher body mass index in COVID-19-positive patients, suggesting that the inflammatory background and immune dysregulation in individuals with obesity may be expressed in the results and that adiposity may influence the immune response. The timeline presented here is a compilation of the results of 2 years of scientific inquiry, describing how the science has progressed, the principal findings, and the challenges ahead regarding SARS-CoV-2, COVID-19, and emerging variants, especially in patients with obesity.
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Affiliation(s)
- Mayara Belchior-Bezerra
- Laboratório de Biologia das Interações Celulares, Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Rafael Silva Lima
- Laboratório de Biologia das Interações Celulares, Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Nayara I Medeiros
- Laboratório de Biologia das Interações Celulares, Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Imunologia Celular e Molecular, Instituto René Rachou, Fundação Oswaldo Cruz - FIOCRUZ, Belo Horizonte, Brazil
| | - Juliana A S Gomes
- Laboratório de Biologia das Interações Celulares, Departamento de Morfologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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Rodrigues KF, Yong WTL, Bhuiyan MSA, Siddiquee S, Shah MD, Venmathi Maran BA. Current Understanding on the Genetic Basis of Key Metabolic Disorders: A Review. BIOLOGY 2022; 11:biology11091308. [PMID: 36138787 PMCID: PMC9495729 DOI: 10.3390/biology11091308] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/27/2022] [Accepted: 08/29/2022] [Indexed: 12/02/2022]
Abstract
Simple Summary Metabolic disorders (MD) are a challenge to healthcare systems; the emergence of the modern socio-economic system has led to a profound change in lifestyles in terms of dietary habits, exercise regimens, and behavior, all of which complement the genetic factors associated with MD. Diabetes Mellitus and Familial hypercholesterolemia are two of the 14 most widely researched MD, as they pose the greatest challenge to the public healthcare system and have an impact on productivity and the economy. Research findings have led to the development of new therapeutic molecules for the mitigation of MD as well as the invention of experimental strategies, which target the genes themselves via gene editing and RNA interference. Although these approaches may herald the emergence of a new toolbox to treat MD, the current therapeutic approaches still heavily depend on substrate reduction, dietary restrictions based on genetic factors, exercise, and the maintenance of good mental health. The development of orphan drugs for the less common MD such as Krabbe, Farber, Fabry, and Gaucher diseases, remains in its infancy, owing to the lack of investment in research and development, and this has driven the development of personalized therapeutics based on gene silencing and related technologies. Abstract Advances in data acquisition via high resolution genomic, transcriptomic, proteomic and metabolomic platforms have driven the discovery of the underlying factors associated with metabolic disorders (MD) and led to interventions that target the underlying genetic causes as well as lifestyle changes and dietary regulation. The review focuses on fourteen of the most widely studied inherited MD, which are familial hypercholesterolemia, Gaucher disease, Hunter syndrome, Krabbe disease, Maple syrup urine disease, Metachromatic leukodystrophy, Mitochondrial encephalopathy lactic acidosis stroke-like episodes (MELAS), Niemann-Pick disease, Phenylketonuria (PKU), Porphyria, Tay-Sachs disease, Wilson’s disease, Familial hypertriglyceridemia (F-HTG) and Galactosemia based on genome wide association studies, epigenetic factors, transcript regulation, post-translational genetic modifications and biomarker discovery through metabolomic studies. We will delve into the current approaches being undertaken to analyze metadata using bioinformatic approaches and the emerging interventions using genome editing platforms as applied to animal models.
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Affiliation(s)
- Kenneth Francis Rodrigues
- Biotechnology Research Institute, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
- Correspondence: (K.F.R.); (B.A.V.M.); Tel.: +60-16-2096905 (B.A.V.M.)
| | - Wilson Thau Lym Yong
- Biotechnology Research Institute, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
| | | | | | - Muhammad Dawood Shah
- Borneo Marine Research Institute, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
| | - Balu Alagar Venmathi Maran
- Borneo Marine Research Institute, Universiti Malaysia Sabah, Kota Kinabalu 88400, Malaysia
- Correspondence: (K.F.R.); (B.A.V.M.); Tel.: +60-16-2096905 (B.A.V.M.)
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Austin AM, Leggett CG, Schmidt P, Bolin P, Nelson EC, Oliver BJ, King AC. Utilization Patterns and Outcomes of People With Diabetes and COVID-19: Evidence From United States Medicare Beneficiaries in 2020. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 3:920478. [PMID: 36992748 PMCID: PMC10012137 DOI: 10.3389/fcdhc.2022.920478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 06/02/2022] [Indexed: 11/13/2022]
Abstract
ObjectiveDetermine differences in utilization patterns, disease severity, and outcomes between patients with and without diabetes mellitus diagnosed with COVID-19 in 2020Research Design and MethodsWe used an observational cohort comprised of Medicare fee-for-service beneficiaries with a medical claim indicating a COVID-19 diagnosis. We performed inverse probability weighting between beneficiaries with and without diabetes to account for differences in socio-demographic characteristics and comorbidities.ResultsIn the unweighted comparison of beneficiaries, all characteristics were significantly different (P<0.001). Beneficiaries with diabetes were younger, more likely to be black, had more comorbidities, higher rates of Medicare-Medicaid dual-eligibility, and were less likely to be female. In the weighted sample, hospitalization rates for COVID-19 among beneficiaries with diabetes was higher (20.5% vs 17.1%; p < 0.001). Outcomes of hospitalizations were similarly worse among beneficiaries with diabetes: admissions to ICU during hospitalizations (7.78% vs. 6.11%; p < 0.001); in-hospital mortality (3.85% vs 2.93%; p < 0.001); and ICU mortality (2.41% vs 1.77%). Beneficiaries with diabetes had more ambulatory care visits (8.9 vs. 7.8, p < 0.001) and higher overall mortality (17.3% vs. 14.9%, p < 0.001) following COVID-19 diagnosis.ConclusionBeneficiaries with diabetes and COVID-19 had higher rates of hospitalization, ICU use and overall mortality. While the mechanism of how diabetes impacts the severity of COVID-19 may not be fully understood, there are important clinical implications for persons with diabetes. A diagnosis of COVID-19 leads to greater financial and clinical burden than for their counterparts, persons without diabetes, including perhaps most significantly, higher death rates.
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Affiliation(s)
- Andrea M. Austin
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Christopher G. Leggett
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Peter Schmidt
- Grossman School of Medicine, New York University, New York, NY, United States
| | - Paul Bolin
- Brody School of Medicine, East Carolina University, Greenville, NC, United States
| | - Eugene C. Nelson
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
| | - Brant J. Oliver
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
- Departments of Community & Family Medicine and Psychiatry, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
- Office of Patient Experience, Value Institute, Dartmouth-Hitchcock, Lebanon, NH, United States
| | - Ashleigh C. King
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
- *Correspondence: Ashleigh C. King,
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Mittal N, Dhooria HPS, Arora S, Kumar V, Bansal E, Singh P, Kalra S, Goyal S, Mittal N, Naved K, Mohan B. The Effect of Diabetes Mellitus on Outcomes of Patients Admitted with COVID-19: A Single - Center Experience from a Tertiary Hospital in India. Indian J Endocrinol Metab 2022; 26:376-383. [PMID: 36185963 PMCID: PMC9519836 DOI: 10.4103/ijem.ijem_148_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 07/02/2022] [Accepted: 07/21/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Diabetes mellitus is associated with poor clinical outcomes in patients with coronavirus disease 2019 (COVID-19). This study aimed to explore the clinical characteristics of patients with type 2 diabetes with COVID-19, and to determine the impact of type 2 diabetes on clinical outcome of patients with COVID-19. MATERIAL AND METHODS This single-center, retrospective, observational study enrolled patients admitted from March 2020 to June 2021 with COVID-19. The clinical and biochemical characteristics of patients with known type 2 diabetes, newly diagnosed diabetes, type 2 diabetes with comorbidities and those who succumbed to illness were analyzed. RESULTS Of 4,559 patients with COVID-19, 2,090 (45.8%) had type 2 diabetes. Patients with COVID-19 with diabetes were older, more likely to receive mechanical ventilation, had higher odds of mortality from COVID-19 as compared with patients without diabetes. In addition, patients with diabetes had significantly higher levels of serum creatinine, C-reactive protein, ferritin, lactate dehydrogenase, and D-dimer. Compared with previously diagnosed patients with diabetes, newly diagnosed patients had higher mortality (33% vs. 27%, P = 0.049). Among patients with COVID-19 and diabetes, nonsurvivors had significantly higher levels of inflammatory markers and had severe impairment of cardiac, renal, and coagulation parameters as opposed to survivors. CONCLUSION Patients with COVID-19 with diabetes were more likely to have severe disease and had higher mortality. Presence of chronic kidney disease and coronary artery disease in patients with diabetes with COVID-19 was associated with adverse outcome. Patients with newly diagnosed diabetes had higher odds of severe disease at presentation and had higher mortality.
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Affiliation(s)
- Naveen Mittal
- Department of Endocrinology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | | | - Saurabh Arora
- Department of Endocrinology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Vipin Kumar
- Department of Medicine, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Ekta Bansal
- Department of Biochemistry, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Parminder Singh
- Department of Endocrinology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Sanjay Kalra
- Department of Endocrinology, Bharti Hospital and BRIDE, Karnal, Haryana, India
| | - Saloni Goyal
- Department of Pathology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Namit Mittal
- Kasturba Medical College, Manglore, Karnataka, India
| | - Khizar Naved
- Kasturba Medical College, Manipal, Karnataka, India
| | - Bishav Mohan
- Department of Cardiology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
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