1
|
Muñoz-Carrillo JL, Palomeque-Molina PI, Villacis-Valencia MS, Gutiérrez-Coronado O, Chávez-Ruvalcaba F, Vázquez-Alcaraz SJ, Villalobos-Gutiérrez PT, Palomeque-Molina J. Relationship between periodontitis, type 2 diabetes mellitus and COVID-19 disease: a narrative review. Front Cell Infect Microbiol 2025; 15:1527217. [PMID: 40406515 PMCID: PMC12095153 DOI: 10.3389/fcimb.2025.1527217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2024] [Accepted: 04/16/2025] [Indexed: 05/26/2025] Open
Abstract
Inflammation plays a fundamental role in the development and bidirectional association of di-verse diseases, such as periodontitis and type 2 diabetes mellitus (T2DM), which generates important clinical complications, where chronic exposure to high levels of blood glucose affects the repair process of periodontal tissues. Likewise, it has been observed that comorbidity, between these two diseases, influences the development of the COVID-19 disease towards a more severe course. However, there is currently very little scientific evidence on the relationship between periodontitis, T2DM and COVID-19 disease. This narrative review aims to provide an understanding of the current and most relevant aspects of the relationship between periodontitis, T2DM and COVID-19 disease. A narrative review was performed through a systematic search of published studies, without date restrictions, indexed in the electronic databases of PubMed, for the inclusion of articles in English, and LILACS for the inclusion of articles in Spanish. This review included different articles, which addressed the most important aspects to present a current perspective on the relationship and influence between periodontitis, T2DM and COVID-19 disease. Comorbidity between periodontitis and T2DM represents a greater risk of developing a more severe course of COVID-19 disease, because these three diseases share three important axes: a clinicopathological axis; an axis associated with glycemia, and an immunological axis associated with inflammation.
Collapse
Affiliation(s)
- José Luis Muñoz-Carrillo
- Laboratorio de Inmunología, Centro Universitario de los Lagos, Universidad de Guadalajara, Lagos de Moreno, Jalisco, Mexico
- Escuela de Odontología, Global University, Aguascalientes, Aguascalientes, Mexico
| | | | | | - Oscar Gutiérrez-Coronado
- Laboratorio de Inmunología, Centro Universitario de los Lagos, Universidad de Guadalajara, Lagos de Moreno, Jalisco, Mexico
| | | | | | | | | |
Collapse
|
2
|
Matviichuk A, Yerokhovych V, Zemskov S, Ilkiv Y, Gurianov V, Shaienko Z, Falalyeyeva T, Sulaieva O, Kobyliak N. Unveiling risk factors for post-COVID-19 syndrome development in people with type 2 diabetes. Front Endocrinol (Lausanne) 2024; 15:1459171. [PMID: 39722811 PMCID: PMC11668646 DOI: 10.3389/fendo.2024.1459171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Accepted: 11/27/2024] [Indexed: 12/28/2024] Open
Abstract
Introduction Post-COVID-19 syndrome (PCS) is a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection-associated chronic condition characterized by long-term violations of physical and mental health. People with type 2 diabetes (T2D) are at high risk for severe COVID-19 and PCS. Aim The current study aimed to define the predictors of PCS development in people with T2D for further planning of preventive measures and improving patient outcomes. Materials and methods The data were collected through the national survey targeting persons with T2D concerning the history of COVID-19 course and signs and symptoms that developed during or after COVID-19 and continued for more than 12 weeks and were not explained by an alternative diagnosis. In total, 469 patients from different regions of Ukraine were enrolled in the study. Among them, 227 patients reported PCS development (main group), while 242 patients did not claim PCS symptoms (comparison group). Stepwise multivariate logistic regression and probabilistic neural network (PNN) models were used to select independent risk factors. Results Based on the survey data, 8 independent factors associated with the risk of PCS development in T2D patients were selected: newly diagnosed T2D (OR 4.86; 95% CI 2.55-9.28; p<0.001), female sex (OR 1.29; 95% CI 0.86-1.94; p=0.220), COVID-19 severity (OR 1.35 95% CI 1.05-1.70; p=0.018), myocardial infarction (OR 2.42 95% CI 1.26-4.64; p=0.002) and stroke (OR 3.68 95% CI 1.70-7.96; p=0.001) in anamnesis, HbA1c above 9.2% (OR 2.17 95% CI 1.37-3.43; p=0.001), and the use of insulin analogs (OR 2.28 95% CI 1.31-3.94; p=0.003) vs human insulin (OR 0.67 95% CI 0.39-1.15; p=0.146). Although obesity aggravated COVID-19 severity, it did not impact PCS development. In ROC analysis, the 8-factor multilayer perceptron (MLP) model exhibited better performance (AUC 0.808; 95% CІ 0.770-0.843), allowing the prediction of the risk of PCS development with a sensitivity of 71.4%, specificity of 76%, PPV of 73.6% and NPV of 73.9%. Conclusions Patients who were newly diagnosed with T2D, had HbA1c above 9.2%, had previous cardiovascular or cerebrovascular events, and had severe COVID-19 associated with mechanical lung ventilation were at high risk for PCS.
Collapse
Affiliation(s)
- Anton Matviichuk
- Department of Endocrinology, Bogomolets National Medical University, Kyiv, Ukraine
| | | | - Sergii Zemskov
- Department of Endocrinology, Bogomolets National Medical University, Kyiv, Ukraine
| | - Yeva Ilkiv
- Department of Endocrinology, Bogomolets National Medical University, Kyiv, Ukraine
| | - Vitalii Gurianov
- Department of Endocrinology, Bogomolets National Medical University, Kyiv, Ukraine
| | - Zlatoslava Shaienko
- Department of Endocrinology with Pediatric Infectious Diseases, Poltava State Medical University, Poltava, Ukraine
| | - Tetyana Falalyeyeva
- Department of Fundamental Medicine, Educational-Scientific Center “Institute of Biology and Medicine” Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
- Scientific Department, Medical Laboratory CSD, Kyiv, Ukraine
| | - Oksana Sulaieva
- Scientific Department, Medical Laboratory CSD, Kyiv, Ukraine
- Department of Pathology, Kyiv Medical University, Kyiv, Ukraine
| | - Nazarii Kobyliak
- Department of Endocrinology, Bogomolets National Medical University, Kyiv, Ukraine
- Scientific Department, Medical Laboratory CSD, Kyiv, Ukraine
| |
Collapse
|
3
|
Li J, Zhang Y, Wu R, Ma G, Sheng L, Feng Y, Han Y, Zhang L, Guo J, Li R. Evaluation of Inflammatory Markers in Patients with COVID-19 Combined with Type 2 Diabetes Mellitus. Risk Manag Healthc Policy 2024; 17:2535-2545. [PMID: 39479559 PMCID: PMC11523978 DOI: 10.2147/rmhp.s490281] [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: 08/06/2024] [Accepted: 10/22/2024] [Indexed: 11/02/2024] Open
Abstract
Purpose To explore the value of different inflammatory markers in predicting the severity of coronavirus disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM). Patients and Methods A total of 116 patients with COVID-19 in patients with T2DM were collected from December 2022 to March 2023 and were divided into a mild case group (77 cases) and a severe case group (39 cases). The ratio of neutrophil to lymphocyte (NLR), platelet-to-lymphocyte ratio (PLR), neutrophil to lymphocyte × platelet ratio (NLPR), lymphocyte ratio to monocyte (LMR), systemic inflammatory response index (SIRI), systemic inflammatory index (SII), systemic inflammatory composite index (AISI), procalcitonin (PCT), C-reactive protein (CRP) and lactate dehydrogenase (LDH) were compared between the two groups. The screening effect of each variable on the progression of the disease was analyzed using receiver operating characteristic (ROC) curves. Results NLR, PLR, NLPR, MLR, SIRI, SII, AISI, LDH, CRP and PCT in severe case group were higher than those in mild case group (P<0.05), and LMR was lower than those in mild case group (P<0.05). ROC curve analysis further demonstrated the diagnostic performance of these biomarkers, with PCT having the largest area under the ROC curve (AUCROC) of 0.83. Conclusion NLR, PLR, NLPR, SIRI, SII, LDH, CRP and PCT demonstrate greater reliability in diagnostic value and clinical utility for predicting the severity of COVID-19 in patients with T2DM.
Collapse
Affiliation(s)
- Jingjing Li
- Department of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People’s Republic of China
| | - Yu Zhang
- Department of Dermatology and Venereology, Hohhot, Inner Mongolia Autonomous Region People’s Hospital, 010000, People’s Republic of China
| | - Rui Wu
- Department of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People’s Republic of China
| | - Guodong Ma
- Department of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People’s Republic of China
| | - Li Sheng
- Department of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People’s Republic of China
| | - Yun Feng
- Department of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People’s Republic of China
| | - Yang Han
- Department of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People’s Republic of China
| | - Lina Zhang
- Department of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People’s Republic of China
| | - Janfeng Guo
- Department of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People’s Republic of China
| | - Rongbo Li
- Department of Infectious Diseases, Hohhot First Hospital, Hohhot, Inner Mongolia Autonomous Region, 010000, People’s Republic of China
| |
Collapse
|
4
|
Al-Taie A, Arueyingho O, Khoshnaw J, Hafeez A. Clinical outcomes of multidimensional association of type 2 diabetes mellitus, COVID-19 and sarcopenia: an algorithm and scoping systematic evaluation. Arch Physiol Biochem 2024; 130:342-360. [PMID: 35704400 DOI: 10.1080/13813455.2022.2086265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/25/2022] [Accepted: 05/31/2022] [Indexed: 01/08/2023]
Abstract
BACKGROUND The aim of this study was to provide a scoping and comprehensive review for the clinical outcomes from the cross-link of Type 2 diabetes mellitus (T2DM), COVID-19, and sarcopenia. METHODS By using PRISMA guidelines and searching through different databases that could provide findings of evidence on the association of T2DM, COVID-19, and sarcopenia. RESULTS Thirty-three studies reported a relationship between sarcopenia with T2DM, twenty-one studies reported the prognosis COVID-19 in patients with T2DM, ten studies reported the prognosis of COVID-19 in patients with sarcopenia, five studies discussed the outcomes of sarcopenia in patients with COVID-19, and one study reported sarcopenia outcomes in the presence of T2DM and COVID-19. CONCLUSION There is an obvious multidimensional relationship between T2DM, COVID-19 and sarcopenia which can cause prejudicial effects, poor prognosis, prolonged hospitalisation, lowered quality of life and a higher mortality rate during the current COVID-19 pandemic.
Collapse
Affiliation(s)
- Anmar Al-Taie
- Clinical Pharmacy Department, Faculty of Pharmacy, Istinye University, Istanbul, Turkey
| | - Oritsetimeyin Arueyingho
- EPSRC Centre for Doctoral Training in Digital Health and Care, University of Bristol, Bristol, UK
| | - Jalal Khoshnaw
- Pharmacy Department, Faculty of Pharmacy, Girne American University, Mersin, Turkey
| | - Abdul Hafeez
- Department of Pharmaceutics, Glocal School of Pharmacy, Glocal University, Saharanpur, Uttar Pradesh, India
| |
Collapse
|
5
|
Bendetson JG, Baffoe-Bonnie AW. Type 2 Diabetes Status, Diabetes Complication Severity Index Scores, and Their Relationship With COVID-19 Severity: A Retrospective Cohort Study of Hospitalized Patients in a Southwest Virginia Health System. Cureus 2024; 16:e53524. [PMID: 38445145 PMCID: PMC10912820 DOI: 10.7759/cureus.53524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/28/2024] [Indexed: 03/07/2024] Open
Abstract
Background Studies have shown that patients with type 2 diabetes mellitus (T2DM) tend to have poorer outcomes associated with COVID-19, including increased rates of hospitalization, ICU admission, need for ventilatory support, and mortality. Methods We performed a retrospective cohort study that included all non-pregnant adult patients who were hospitalized as a result of COVID-19 in a Southwest Virginia health system between March 18, 2020, and August 31, 2022. T2DM status was treated as a binary variable. T2DM severity was assessed using the Diabetes Complications Severity Index (DCSI). Multivariate logistic regression was used to assess the relationship between T2DM status and COVID-19 severity outcomes. Multivariate logistic regression was also used to assess the relationship between DCSI score and COVID-19 severity outcomes among patients with an established diagnosis of T2DM at the time of COVID-19 hospital admission. Results Patients with T2DM had 1.27 times the odds of experiencing a poor COVID-19 clinical outcome (95% CI: 1.13, 1.43) and 1.35 times the odds of in-hospital mortality (95% CI: 1.14, 1.59) compared to patients without diabetes. Among patients with T2DM, increasing DCSI score was significantly associated with increased odds of experiencing a poor COVID-19 clinical outcome and in-hospital mortality. Conclusions Diabetic patients in our sample were at increased odds of experiencing poor COVID-19 clinical outcomes and in-hospital mortality compared to individuals without diabetes. Amongst patients with T2DM, increasing DCSI score was associated with worse COVID-19 outcomes. Clinical decision support tools may be able to utilize DCSI scores as an indicator of COVID-19 severity risk to facilitate decisions regarding treatment aggressiveness and resource allocation.
Collapse
Affiliation(s)
- Jesse G Bendetson
- Department of Medicine, Virginia Tech Carilion School of Medicine, Roanoke, USA
| | - Anthony W Baffoe-Bonnie
- Section of Infectious Diseases, Department of Medicine, Virginia Tech Carilion School of Medicine, Roanoke, USA
| |
Collapse
|
6
|
Quan SF, Weaver MD, Czeisler MÉ, Barger LK, Booker LA, Howard ME, Jackson ML, Lane R, McDonald CF, Ridgers A, Robbins R, Varma P, Rajaratnam SM, Czeisler CA. Associations between obstructive sleep apnea and COVID-19 infection and hospitalization among US adults. J Clin Sleep Med 2023; 19:1303-1311. [PMID: 37279079 PMCID: PMC10315594 DOI: 10.5664/jcsm.10588] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 03/30/2023]
Abstract
STUDY OBJECTIVES Medical comorbidities increase the risk of severe COVID-19 infection. In some studies, obstructive sleep apnea (OSA) has been identified as a comorbid condition that is associated with an increased prevalence of COVID-19 infection and hospitalization, but few have investigated this association in a general population. This study aimed to answer the following research question: In a general population, is OSA associated with increased odds of COVID-19 infection and hospitalization and are these altered with COVID-19 vaccination? METHODS This was a cross-sectional survey of a diverse sample of 15,057 US adults. RESULTS COVID-19 infection and hospitalization rates in the cohort were 38.9% and 2.9%, respectively. OSA or OSA symptoms were reported in 19.4%. In logistic regression models adjusted for demographic, socioeconomic, and comorbid medical conditions, OSA was positively associated with COVID-19 infection (adjusted odds ratio: 1.58, 95% CI: 1.39-1.79) and COVID-19 hospitalization (adjusted odds ratio: 1.55, 95% CI: 1.17-2.05). In fully adjusted models, boosted vaccination status was protective against both infection and hospitalization. Boosted vaccination status attenuated the association between OSA and COVID-19 related hospitalization but not infection. Participants with untreated or symptomatic OSA were at greater risk for COVID-19 infection; those with untreated but not symptomatic OSA were more likely to be hospitalized. CONCLUSIONS In a general population sample, OSA is associated with a greater likelihood of having had a COVID-19 infection and a COVID-19 hospitalization with the greatest impact observed among persons experiencing OSA symptoms or who were untreated for their OSA. Boosted vaccination status attenuated the association between OSA and COVID-19-related hospitalization. CITATION Quan SF, Weaver MD, Czeisler MÉ, et al. Associations between obstructive sleep apnea and COVID-19 infection and hospitalization among U.S. adults. J Clin Sleep Med. 2023;19(7):1303-1311.
Collapse
Affiliation(s)
- Stuart F. Quan
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Matthew D. Weaver
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Mark É. Czeisler
- Francis Weld Peabody Society, Harvard Medical School, Boston, Massachusetts
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
| | - Laura K. Barger
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Lauren A. Booker
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
- University Department of Rural Health, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia
| | - Mark E. Howard
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
- Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Melinda L. Jackson
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
| | - Rashon Lane
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Christine F. McDonald
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Victoria, Australia
- Faculty of Medicine, Monash University, Melbourne Australia
| | - Anna Ridgers
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
- Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Victoria, Australia
| | - Rebecca Robbins
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| | - Prerna Varma
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
| | - Shantha M.W. Rajaratnam
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Victoria, Australia
- Institute for Breathing and Sleep, Austin Health, Heidelberg, Victoria, Australia
| | - Charles A. Czeisler
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
7
|
Ferguson M, Vel J, Phan V, Ali R, Mabe L, Cherner A, Doan T, Manakatt B, Jose M, Powell AR, McKinney K, Serag H, Sallam HS. Coronavirus Disease 2019, Diabetes, and Inflammation: A Systemic Review. Metab Syndr Relat Disord 2023; 21:177-187. [PMID: 37130311 DOI: 10.1089/met.2022.0090] [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: 05/04/2023] Open
Abstract
People with cardiometabolic diseases [namely type 2 diabetes (T2D), obesity, or metabolic syndrome] are more susceptible to coronavirus disease 2019 (COVID-19) infection and endure more severe illness and poorer outcomes. Hyperinflammation has been suggested as a common pathway for both diseases. To examine the role of inflammatory biomarkers shared between COVID-19 and cardiometabolic diseases, we reviewed and evaluated published data using PubMed, SCOPUS, and World Health Organization COVID-19 databases for English articles from December 2019 to February 2022. Of 248 identified articles, 50 were selected and included. We found that people with diabetes or obesity have (i) increased risk of COVID-19 infection; (ii) increased risk of hospitalization (those with diabetes have a higher risk of intensive care unit admissions) and death; and (iii) heightened inflammatory and stress responses (hyperinflammation) to COVID-19, which worsen their prognosis. In addition, COVID-19-infected patients have a higher risk of developing T2D, especially if they have other comorbidities. Treatments controlling blood glucose levels and or ameliorating the inflammatory response may be valuable for improving clinical outcomes in these patient populations. In conclusion, it is critical for health care providers to clinically evaluate hyperinflammatory states to drive clinical decisions for COVID-19 patients.
Collapse
Affiliation(s)
- Monique Ferguson
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Jaysonn Vel
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Vincent Phan
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Roshaneh Ali
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Lainie Mabe
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Annie Cherner
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Thao Doan
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Bushra Manakatt
- School of Nursing, University of Texas Medical Branch, Galveston, Texas, USA
| | - Mini Jose
- School of Nursing, University of Texas Medical Branch, Galveston, Texas, USA
| | - Audrey Ross Powell
- University of Texas Medical Branch Alumni, Galveston, Texas, USA
- Madrigal Pharmaceuticals, Conshohocken, Pennsylvania, USA
| | - Kevin McKinney
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Hani Serag
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA
| | - Hanaa S Sallam
- John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, Texas, USA
- Physiology Department, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| |
Collapse
|
8
|
Amsah N, Md Isa Z, Ahmad N, Abdul Manaf MR. Impact of COVID-19 Pandemic on Healthcare Utilization among Patients with Type 2 Diabetes Mellitus: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4577. [PMID: 36901588 PMCID: PMC10002238 DOI: 10.3390/ijerph20054577] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/01/2023] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
As the COVID-19 pandemic continues, healthcare services have been grossly overwhelmed by the pandemic. Due to this circumstance, routine care for individuals with type 2 diabetes mellitus (T2DM) has been temporarily disrupted. The purpose of this systematic review was to summarize the evidence regarding the impact of the COVID-19 pandemic on healthcare utilization among patients with T2DM. A systematic search was conducted in the Web of Science, Scopus, and PubMed databases. The process of identifying the final articles followed the PRISMA guidelines. The inclusion criteria were articles published between 2020 and 2022, written in English, and studies focusing on the research question. Any proceedings and books were excluded. A total of fourteen articles relevant to the research question were extracted. Following that, the included articles were critically appraised using the Mixed Method Appraisal Tool (MMAT) and the Joanna Briggs Institute Critical Appraisal Tool to assess the quality of the studies. The findings were further classified into three themes: reduced healthcare utilization among T2DM patients in routine healthcare services, a surge of telemedicine usage, and delay in the delivery of healthcare services. The key messages include demands for monitoring the long-term effects of the missed care and that better preparedness is crucial for any pandemic in the future. A tight diagnostic workup at the community level and regular follow-ups are crucial in managing the impact of the pandemic among T2DM patients. Telemedicine should be on the agenda of the health system to maintain and complement healthcare services. Future research is warranted to determine effective strategies to deal with the impact of the pandemic on healthcare utilization and delivery among T2DM patients. A clear policy is essential and should be established.
Collapse
Affiliation(s)
| | - Zaleha Md Isa
- Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, Kuala Lumpur 56000, Malaysia
| | | | | |
Collapse
|
9
|
Zaghloul H, Malik RA. COVID-19 and the hidden threat of diabetic microvascular complications. Ther Adv Endocrinol Metab 2022; 13:20420188221110708. [PMID: 35847423 PMCID: PMC9277425 DOI: 10.1177/20420188221110708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 06/13/2022] [Indexed: 01/08/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic affected at least 200 million individuals worldwide and resulted in nearly 5 million deaths as of October 2021. According to the latest data from the International Diabetes Federation (IDF) in 2021, the diabetes pandemic has affected 537 million people and is associated with 6.7 million deaths. Given the high prevalence of both diabetes and COVID-19 and common pathological outcomes, a bidirectional relationship could have a catastrophic outcome. The increased risk of COVID-19 in those with obesity and diabetes and higher morbidity and mortality has received considerable attention. However, little attention has been given to the relationship between COVID-19 and microvascular complications. Indeed, microvascular complications are associated with an increased risk of cardiovascular disease (CVD) and mortality in diabetes. This review assesses the evidence for an association between diabetic microvascular complications (neuropathy, nephropathy, and retinopathy) and COVID-19. It draws parallels between the pathological changes occurring in the microvasculature in both diseases and assesses whether microvascular disease is a prognostic factor for COVID-19 outcomes in diabetes.
Collapse
Affiliation(s)
| | - Rayaz A. Malik
- Department of Medicine, Weill Cornell Medicine
– Qatar, Qatar Foundation, Education City, P.O. Box 24144, Doha, Qatar
- Institute of Cardiovascular Sciences, The
University of Manchester, Manchester, UK
| |
Collapse
|
10
|
Yeh HC, Kraschnewski JL, Kong L, Lehman EB, Heilbrunn ES, Williams P, Poger JM, Francis E, Bryce CL. Hospitalization and mortality in patients with COVID-19 with or at risk of type 2 diabetes: data from five health systems in Pennsylvania and Maryland. BMJ Open Diabetes Res Care 2022; 10:10/3/e002774. [PMID: 35680172 PMCID: PMC9184995 DOI: 10.1136/bmjdrc-2022-002774] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/16/2022] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE To identify the demographic and clinical characteristics associated with adverse COVID-19 outcomes across a 12-month period in 2020 and 2021. RESEARCH DESIGN AND METHODS We conducted a retrospective cohort study using electronic health records from five academic health systems in Pennsylvania and Maryland, including patients with COVID-19 with type 2 diabetes or at risk of type 2 diabetes. Patients were classified based on 30-day outcomes: (1) no hospitalization; (2) hospitalization only; or (3) a composite measure including admission to the intensive care unit (ICU), intubation, or death. Analyses were conducted in patients with type 2 diabetes and patients at risk of type 2 diabetes separately. RESULTS We included 15 725 patients with COVID-19 diagnoses between March 2020 and February 2021. Older age and higher Charlson Comorbidity Index scores were associated with higher odds of adverse outcomes, while COVID-19 diagnoses later in the study period were associated with lower odds of severe outcomes. In patients with type 2 diabetes, individuals on insulin treatment had higher odds for ICU/intubation/death (OR=1.59, 95% CI 1.27 to 1.99), whereas those on metformin had lower odds (OR=0.56, 95% CI 0.45 to 0.71). Compared with non-Hispanic White patients, Hispanic patients had higher odds of hospitalization in patients with type 2 diabetes (OR=1.73, 95% CI 1.36 to 2.19) or at risk of type 2 diabetes (OR=1.77, 95% CI 1.43 to 2.18.) CONCLUSIONS: Adults who were older, in racial minority groups, had multiple chronic conditions or were on insulin treatment had higher risks for severe COVID-19 outcomes. This study reinforced the urgency of preventing COVID-19 and its complications in vulnerable populations. TRIAL REGISTRATION NUMBER NCT02788903.
Collapse
Affiliation(s)
- Hsin-Chieh Yeh
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jennifer L Kraschnewski
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Lan Kong
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Erik B Lehman
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Emily S Heilbrunn
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Pamela Williams
- Cancer and Chronic Disease Bureau, Maryland Department of Health, Baltimore, Maryland, USA
| | - Jennifer M Poger
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Erica Francis
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Cindy L Bryce
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| |
Collapse
|
11
|
Durán AM, Beeson WL, Firek A, Cordero-MacIntyre Z, De León M. Dietary Omega-3 Polyunsaturated Fatty-Acid Supplementation Upregulates Protective Cellular Pathways in Patients with Type 2 Diabetes Exhibiting Improvement in Painful Diabetic Neuropathy. Nutrients 2022; 14:nu14040761. [PMID: 35215418 PMCID: PMC8876723 DOI: 10.3390/nu14040761] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/04/2022] [Accepted: 02/08/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Omega-3 polyunsaturated fatty acids (PUFAs) have been proposed to improve chronic neuroinflammatory diseases in peripheral and central nervous systems. For instance, docosahexaenoic acid (DHA) protects nerve cells from noxious stimuli in vitro and in vivo. Recent reports link PUFA supplementation to improving painful diabetic neuropathy (pDN) symptoms, but cellular mechanisms responsible for this therapeutic effect are not well understood. The objective of this study is to identify distinct cellular pathways elicited by dietary omega-3 PUFA supplementation in patients with type 2 diabetes mellitus (T2DM) affected by pDN. Methods: Forty volunteers diagnosed with type 2 diabetes were enrolled in the “En Balance-PLUS” diabetes education study. The volunteers participated in weekly lifestyle/nutrition education and daily supplementation with 1000 mg DHA and 200 mg eicosapentaenoic acid. The Short-Form McGill Pain Questionnaire validated clinical determination of baseline and post-intervention pain complaints. Laboratory and untargeted metabolomics analyses were conducted using blood plasma collected at baseline and after three months of participation in the dietary regimen. The metabolomics data were analyzed using random forest, hierarchical clustering, ingenuity pathway analysis, and metabolic pathway mapping. Results: The data show that metabolites involved in oxidative stress and glutathione production shifted significantly to a more anti-inflammatory state post supplementation. Example of these metabolites include cystathionine (+90%), S-methylmethionine (+9%), glycine cysteine-glutathione disulfide (+157%) cysteinylglycine (+19%), glutamate (−11%), glycine (+11%), and arginine (+13.4%). In addition, the levels of phospholipids associated with improved membrane fluidity such as linoleoyl-docosahexaenoyl-glycerol (18:2/22:6) (+253%) were significantly increased. Ingenuity pathway analysis suggested several key bio functions associated with omega-3 PUFA supplementation such as formation of reactive oxygen species (p = 4.38 × 10−4, z-score = −1.96), peroxidation of lipids (p = 2.24 × 10−5, z-score = −1.944), Ca2+ transport (p = 1.55 × 10−4, z-score = −1.969), excitation of neurons (p = 1.07 ×10−4, z-score = −1.091), and concentration of glutathione (p = 3.06 × 10−4, z-score = 1.974). Conclusion: The reduction of pro-inflammatory and oxidative stress pathways following dietary omega-3 PUFA supplementation is consistent with the promising role of these fatty acids in reducing adverse symptoms associated with neuroinflammatory diseases and painful neuropathy.
Collapse
Affiliation(s)
- Alfonso M. Durán
- Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA 92350, USA; (A.M.D.); (W.L.B.); (Z.C.-M.)
| | - W. Lawrence Beeson
- Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA 92350, USA; (A.M.D.); (W.L.B.); (Z.C.-M.)
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
| | - Anthony Firek
- Comparative Effectiveness and Clinical Outcomes Research Center, Riverside University Health System Medical Center, Moreno Valley, CA 92555, USA;
| | - Zaida Cordero-MacIntyre
- Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA 92350, USA; (A.M.D.); (W.L.B.); (Z.C.-M.)
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
| | - Marino De León
- Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, CA 92350, USA; (A.M.D.); (W.L.B.); (Z.C.-M.)
- Correspondence: ; Tel.: +1-909-558-9474
| |
Collapse
|