1
|
Greene E, Green CL, Hurst J, MacIver NJ. Metformin use associated with lower rate of hospitalization for influenza in individuals with diabetes. Diabetes Obes Metab 2024. [PMID: 38742467 DOI: 10.1111/dom.15655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 04/25/2024] [Accepted: 04/30/2024] [Indexed: 05/16/2024]
Abstract
AIM To investigate if patients with diabetes taking metformin have better outcomes versus those not taking metformin following an emergency room visit for influenza. METHODS Using electronic medical records, we performed a retrospective chart review of all adult patients with a diagnosis of diabetes seen in any Duke University Medical Center-affiliated emergency department for influenza over a 6-year period. We documented patient characteristics and comorbidities, and compared outcomes for patients taking metformin versus patients not taking metformin using both univariable and multivariable analyses. Our primary outcome was hospital admission rate. Secondary outcomes were in-hospital length of stay and in-hospital death. RESULTS Our cohort included 1023 adult patients with diabetes, of whom 59.9% were female. The mean age was 62.9 years, 58.4% were African American, 36.1% were White, and 81.9% were obese or overweight. Of these patients, 347 (34%) were taking metformin. Patients with diabetes taking metformin were less likely to be hospitalized following an emergency department visit for influenza than patients with diabetes not taking metformin (56.8% vs. 70.1%; p < 0.001). Of those patients admitted, there was no statistically significant difference in length of stay or death. CONCLUSIONS In patients with diabetes, metformin use is associated with lower rate of hospitalization following an emergency department visit for influenza.
Collapse
Affiliation(s)
- Elizabeth Greene
- Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Cynthia L Green
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Jillian Hurst
- Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina, USA
| | - Nancie J MacIver
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| |
Collapse
|
2
|
Lassen MCH, Johansen ND, Modin D, Nealon J, Samson S, Dufournet M, Loiacono MM, Larsen CS, Jensen AMR, Landler NE, Claggett BL, Solomon SD, Landray MJ, Gislason GH, Køber L, Jensen JUS, Sivapalan P, Vestergaard LS, Krause TG, Biering-Sørensen T. Effects of high-dose versus standard-dose quadrivalent influenza vaccine among patients with diabetes: A post-hoc analysis of the DANFLU-1 trial. Diabetes Obes Metab 2024; 26:1821-1829. [PMID: 38586966 DOI: 10.1111/dom.15498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/25/2024] [Accepted: 01/31/2024] [Indexed: 04/09/2024]
Abstract
AIM High-dose quadrivalent influenza vaccine (QIV-HD) has been shown to be more effective than standard-dose (QIV-SD) in reducing influenza infection, but whether diabetes status affects relative vaccine effectiveness (rVE) is unknown. We aimed to assess rVE on change in glycated haemoglobin [HbA1c (∆HbA1c)], incident diabetes, total all-cause hospitalizations (first + recurrent), and a composite of all-cause mortality and hospitalization for pneumonia or influenza. METHODS DANFLU-1 was a pragmatic, open-label trial randomizing adults (65-79 years) 1:1 to QIV-HD or QIV-SD during the 2021/22 influenza season. Cox proportional hazards regression was used to estimate rVE against incident diabetes and the composite endpoint, negative binomial regression to estimate rVE against all-cause hospitalizations, and ANCOVA when assessing rVE against ∆HbA1c. RESULTS Of the 12 477 participants, 1162 (9.3%) had diabetes at baseline. QIV-HD, compared with QIV-SD, was associated with a reduction in the rate of all-cause hospitalizations irrespective of diabetes [overall: 647 vs. 742 events, incidence rate ratio (IRR): 0.87, 95% CI (0.76-0.99); diabetes: 93 vs. 118 events, IRR: 0.80, 95% CI (0.55-1.15); without diabetes: 554 vs. 624 events, IRR: 0.88, 95% CI (0.76-1.01), pinteraction = 0.62]. Among those with diabetes, QIV-HD was associated with a lower risk of the composite outcome [2 vs. 11 events, HR: 0.18, 95% CI (0.04-0.83)] but had no effect on ∆HbA1c; QIV-HD adjusted mean difference: ∆ + 0.2 mmol/mol, 95% CI (-0.9 to 1.2). QIV-HD did not affect the risk of incident diabetes [HR 1.18, 95% CI (0.94-1.47)]. CONCLUSIONS In this post-hoc analysis, QIV-HD versus QIV-SD was associated with an increased rVE against the composite of all-cause death and hospitalization for pneumonia/influenza, and the all-cause hospitalization rate irrespective of diabetes status.
Collapse
Affiliation(s)
- Mats C Højbjerg Lassen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Niklas Dyrby Johansen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Daniel Modin
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | | | - Carsten Schade Larsen
- Department of Clinical Medicine-Department of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark
| | - Anne Marie Reimer Jensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nino Emanuel Landler
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Brian L Claggett
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Scott D Solomon
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Martin J Landray
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Public Health, University of Oxford, Oxford, UK
- Big Data Institute, University of Oxford, Oxford, UK
| | - Gunnar H Gislason
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- The Danish Heart Foundation, Copenhagen, Denmark
- The National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Lars Køber
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
| | - Jens Ulrik Stæhr Jensen
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | - Pradeesh Sivapalan
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Respiratory Medicine Section, Department of Medicine, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
| | | | - Tyra Grove Krause
- Epidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark
- Center for Translational Cardiology and Pragmatic Randomized Trials, Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Herlev, Denmark
| |
Collapse
|
3
|
Joshi G, Das A, Verma G, Guchhait P. Viral infection and host immune response in diabetes. IUBMB Life 2024; 76:242-266. [PMID: 38063433 DOI: 10.1002/iub.2794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 11/05/2023] [Indexed: 04/24/2024]
Abstract
Diabetes, a chronic metabolic disorder disrupting blood sugar regulation, has emerged as a prominent silent pandemic. Uncontrolled diabetes predisposes an individual to develop fatal complications like cardiovascular disorders, kidney damage, and neuropathies and aggravates the severity of treatable infections. Escalating cases of Type 1 and Type 2 diabetes correlate with a global upswing in diabetes-linked mortality. As a growing global concern with limited preventive interventions, diabetes necessitates extensive research to mitigate its healthcare burden and assist ailing patients. An altered immune system exacerbated by chronic hyperinflammation heightens the susceptibility of diabetic individuals to microbial infections, including notable viruses like SARS-CoV-2, dengue, and influenza. Given such a scenario, we scrutinized the literature and compiled molecular pathways and signaling cascades related to immune compartments in diabetics that escalate the severity associated with the above-mentioned viral infections in them as compared to healthy individuals. The pathogenesis of these viral infections that trigger diabetes compromises both innate and adaptive immune functions and pre-existing diabetes also leads to heightened disease severity. Lastly, this review succinctly outlines available treatments for diabetics, which may hold promise as preventive or supportive measures to effectively combat these viral infections in the former.
Collapse
Affiliation(s)
- Garima Joshi
- Regional Centre for Biotechnology, National Capital Region Biotech Science Cluster, Faridabad, India
| | - Anushka Das
- Regional Centre for Biotechnology, National Capital Region Biotech Science Cluster, Faridabad, India
| | - Garima Verma
- Regional Centre for Biotechnology, National Capital Region Biotech Science Cluster, Faridabad, India
| | - Prasenjit Guchhait
- Regional Centre for Biotechnology, National Capital Region Biotech Science Cluster, Faridabad, India
| |
Collapse
|
4
|
Antonelli Incalzi R, Consoli A, Lopalco P, Maggi S, Sesti G, Veronese N, Volpe M. Influenza vaccination for elderly, vulnerable and high-risk subjects: a narrative review and expert opinion. Intern Emerg Med 2024; 19:619-640. [PMID: 37891453 PMCID: PMC11039544 DOI: 10.1007/s11739-023-03456-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/08/2023] [Indexed: 10/29/2023]
Abstract
Influenza is associated with a substantial health burden, especially in high-risk subjects such as older adults, frail individuals and those with underlying chronic diseases. In this review, we summarized clinical findings regarding the impact of influenza in vulnerable populations, highlighted the benefits of influenza vaccination in preventing severe illness and complications and reviewed the main evidence on the efficacy, effectiveness and safety of the vaccines that are best suited to older adults among those available in Italy. The adverse outcomes associated with influenza infection in elderly and frail subjects and those with underlying chronic diseases are well documented in the literature, as are the benefits of vaccination (mostly in older adults and in patients with cardiovascular diseases, diabetes and chronic lung disease). High-dose and adjuvanted inactivated influenza vaccines were specifically developed to provide enhanced immune responses in older adults, who generally have low responses mainly due to immunosenescence, comorbidities and frailty. These vaccines have been evaluated in clinical studies and systematic reviews by international immunization advisory boards, including the European Centre for Disease Prevention and Control. The high-dose vaccine is the only licensed influenza vaccine to have demonstrated greater efficacy versus a standard-dose vaccine in preventing laboratory-confirmed influenza in a randomized controlled trial. Despite global recommendations, the vaccination coverage in high-risk populations is still suboptimal. All healthcare professionals (including specialists) have an important role in increasing vaccination rates.
Collapse
Affiliation(s)
- Raffaele Antonelli Incalzi
- Gerontology Unit, Department of Internal Medicine and Geriatrics, Campus Bio-Medico University and Teaching Hospital, Rome, Italy
| | - Agostino Consoli
- Department of Medicine and Aging Sciences, "G. d'Annunzio" University, Chieti, Italy
| | - Pierluigi Lopalco
- Department of Biological and Environmental Sciences and Technologies, University of Salento, Lecce, Italy
| | - Stefania Maggi
- Institute of Neuroscience-Aging Branch, National Research Council, Padua, Italy
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, "La Sapienza" University of Rome, Rome, Italy.
| | - Nicola Veronese
- Department of Internal Medicine, Geriatrics Section, University of Palermo, Palermo, Italy
| | - Massimo Volpe
- Department of Clinical and Molecular Medicine, "La Sapienza" University of Rome and IRCCS San Raffaele, Rome, Italy
| |
Collapse
|
5
|
Fattore G, Pongiglione B, Vezzosi L. Excess hospitalizations and in-hospital mortality associated with seasonal influenza in Italy: a 11-year retrospective study. BMC Infect Dis 2024; 24:227. [PMID: 38378487 PMCID: PMC10877853 DOI: 10.1186/s12879-024-09071-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND Influenza and flu-like syndromes are difficult to monitor because the symptoms are not specific, laboratory tests are not routinely performed, and diagnosis codes are often lacking or incompletely registered in medical records. This may result in an underestimation of hospital admissions, associated costs, and in-hospital mortality. Therefore, this study aimed to estimate the public health and economic burden of hospitalisations associated with influenza in Italy, at the national and regional levels. METHODS This 11-year retrospective study included patients admitted to hospitals for influenza or diagnoses associated with influenza (including respiratory and cardiocirculatory conditions) from 2008/09 to 2018/19. Data on hospitalisations were extracted from the Italian Hospital Discharge Records. Information on weekly influenza-like syndrome incidence and weekly average temperature were used to estimate the burden of influenza in terms of hospital admissions in every Italian region and for different age groups by applying a negative binomial model. The model was also applied to estimate in-hospital mortality and the total costs of influenza and influenza-like hospital admissions. RESULTS Over the study period, in addition to 3,970 average seasonal admissions coded as influenza, we estimated an average of 21,500 excess hospitalization associated with influenza per season, which corresponds to 36.4 cases per 100,000. Most of the excess hospitalisations concerned older individuals (> 65 years) and children (0-4 years) with 86 and 125 cases per 100,000, respectively. Large variations were observed across regions. Overall, the total estimated hospital burden associated with influenza (including respiratory and cardiocirculatory conditions) was approximately €123 m per year. While the in-hospital mortality for admissions with a primary diagnosis of influenza was very low (~ 150 cases per season), cases increased dramatically for primary diagnoses of influenza and pneumonia (about 9,500 cases per season). The average seasonal in-hospital deaths attributable to influenza were equal to 2,775 cases. CONCLUSIONS Our findings suggest a remarkable underestimation of the burden of influenza, mostly in the older population but not neglectable in younger individuals. Our results may aid the management of current and future flu seasons and should be used for policy making (e.g., vaccine strategies) and operation management choices (e.g., planning and staffing beds during influenza peaks). Overall, the present study supports the need for increased testing for influenza in Italy to tackle the current underestimation of influenza burden.
Collapse
Affiliation(s)
- Giovanni Fattore
- Department of Social and Political Sciences, Bocconi University, Milan, Italy
- SDA Bocconi School of Management, Centre for Research on Health and Social Care Management, Milan, Italy
| | - Benedetta Pongiglione
- SDA Bocconi School of Management, Centre for Research on Health and Social Care Management, Milan, Italy.
| | - Luigi Vezzosi
- Department of Hygiene and Health Prevention, Prevention of Infectious Diseases Unit, Health Protection Agency Val Padana, Mantua, Italy
| |
Collapse
|
6
|
Hopkins R, Young KG, Thomas NJ, Godwin J, Raja D, Mateen BA, Challen RJ, Vollmer SJ, Shields BM, McGovern AP, Dennis JM. Risk factor associations for severe COVID-19, influenza and pneumonia in people with diabetes to inform future pandemic preparations: UK population-based cohort study. BMJ Open 2024; 14:e078135. [PMID: 38296292 PMCID: PMC10831438 DOI: 10.1136/bmjopen-2023-078135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/17/2024] [Indexed: 02/03/2024] Open
Abstract
OBJECTIVE This study aimed to compare clinical and sociodemographic risk factors for severe COVID-19, influenza and pneumonia, in people with diabetes. DESIGN Population-based cohort study. SETTING UK primary care records (Clinical Practice Research Datalink) linked to mortality and hospital records. PARTICIPANTS Individuals with type 1 and type 2 diabetes (COVID-19 cohort: n=43 033 type 1 diabetes and n=584 854 type 2 diabetes, influenza and pneumonia cohort: n=42 488 type 1 diabetes and n=585 289 type 2 diabetes). PRIMARY AND SECONDARY OUTCOME MEASURES COVID-19 hospitalisation from 1 February 2020 to 31 October 2020 (pre-COVID-19 vaccination roll-out), and influenza and pneumonia hospitalisation from 1 September 2016 to 31 May 2019 (pre-COVID-19 pandemic). Secondary outcomes were COVID-19 and pneumonia mortality. Associations between clinical and sociodemographic risk factors and each outcome were assessed using multivariable Cox proportional hazards models. In people with type 2 diabetes, we explored modifying effects of glycated haemoglobin (HbA1c) and body mass index (BMI) by age, sex and ethnicity. RESULTS In type 2 diabetes, poor glycaemic control and severe obesity were consistently associated with increased risk of hospitalisation for COVID-19, influenza and pneumonia. The highest HbA1c and BMI-associated relative risks were observed in people aged under 70 years. Sociodemographic-associated risk differed markedly by respiratory infection, particularly for ethnicity. Compared with people of white ethnicity, black and south Asian groups had a greater risk of COVID-19 hospitalisation, but a lesser risk of pneumonia hospitalisation. Risk factor associations for type 1 diabetes and for type 2 diabetes mortality were broadly consistent with the primary analysis. CONCLUSIONS Clinical risk factors of high HbA1c and severe obesity are consistently associated with severe outcomes from COVID-19, influenza and pneumonia, especially in younger people. In contrast, associations with sociodemographic risk factors differed by type of respiratory infection. This emphasises that risk stratification should be specific to individual respiratory infections.
Collapse
Affiliation(s)
- Rhian Hopkins
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Katherine G Young
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Nicholas J Thomas
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - James Godwin
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Daniyal Raja
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Bilal A Mateen
- The Alan Turing Institute, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Robert J Challen
- Engineering Mathematics, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration South West Peninsula, Exeter, UK
| | | | - Beverley M Shields
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Andrew P McGovern
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| | - John M Dennis
- Institute of Biomedical & Clinical Science, University of Exeter Medical School, Exeter, UK
| |
Collapse
|
7
|
Famati EA, Ujamaa D, O’Halloran A, Kirley PD, Chai SJ, Armistead I, Alden NB, Yousey-Hindes K, Openo KP, Ryan PA, Monroe ML, Falkowski A, Kim S, Lynfield R, McMahon M, Angeles KM, Khanlian SA, Spina NL, Bennett NM, Gaitán MA, Shiltz E, Lung K, Thomas A, Talbot HK, Schaffner W, George A, Staten H, Bozio CH, Garg S. Association of Chronic Medical Conditions With Severe Outcomes Among Nonpregnant Adults 18-49 Years Old Hospitalized With Influenza, FluSurv-NET, 2011-2019. Open Forum Infect Dis 2023; 10:ofad599. [PMID: 38130595 PMCID: PMC10733180 DOI: 10.1093/ofid/ofad599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023] Open
Abstract
Background Older age and chronic conditions are associated with severe influenza outcomes; however, data are only comprehensively available for adults ≥65 years old. Using data from the Influenza Hospitalization Surveillance Network (FluSurv-NET), we identified characteristics associated with severe outcomes in adults 18-49 years old hospitalized with influenza. Methods We included FluSurv-NET data from nonpregnant adults 18-49 years old hospitalized with laboratory-confirmed influenza during the 2011-2012 through 2018-2019 seasons. We used bivariate and multivariable logistic regression to determine associations between select characteristics and severe outcomes including intensive care unit (ICU) admission, invasive mechanical ventilation (IMV), and in-hospital death. Results A total of 16 140 patients aged 18-49 years and hospitalized with influenza were included in the analysis; the median age was 39 years, and 26% received current-season influenza vaccine before hospitalization. Obesity, asthma, and diabetes mellitus were the most common chronic conditions. Conditions associated with a significantly increased risk of severe outcomes included age group 30-39 or 40-49 years (IMV, age group 30-39 years: adjusted odds ratio [aOR], 1.25; IMV, age group 40-49 years: aOR, 1.36; death, age group 30-39 years: aOR, 1.28; death, age group 40-49 years: aOR, 1.69), being unvaccinated (ICU: aOR, 1.18; IMV: aOR, 1.25; death: aOR, 1.48), and having chronic conditions including extreme obesity and chronic lung, cardiovascular, metabolic, neurologic, or liver diseases (ICU: range aOR, 1.22-1.56; IMV: range aOR, 1.17-1.54; death: range aOR, 1.43-2.36). Conclusions To reduce the morbidity and mortality associated with influenza among adults aged 18-49 years, health care providers should strongly encourage receipt of annual influenza vaccine and lifestyle/behavioral modifications, particularly among those with chronic medical conditions.
Collapse
Affiliation(s)
- Efemona A Famati
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Dawud Ujamaa
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- General Dynamics Information Technology, Falls Church, Virginia, USA
| | - Alissa O’Halloran
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Pam Daily Kirley
- California Emerging Infections Program, Oakland, California, USA
| | - Shua J Chai
- California Emerging Infections Program, Oakland, California, USA
- Career Epidemiology Field Officer Program, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Isaac Armistead
- Colorado Department of Public Health and Environment, Denver, Colorado, USA
| | - Nisha B Alden
- Colorado Department of Public Health and Environment, Denver, Colorado, USA
| | - Kimberly Yousey-Hindes
- Emerging Infections Program, Yale University School of Public Health, New Haven, Connecticut, USA
| | - Kyle P Openo
- Georgia Emerging Infections Program, Atlanta, Georgia, USA
- Atlanta Veterans Affairs Medical Center, Atlanta, Georgia, USA
- Emory University School of Medicine, Atlanta, Georgia, USA
| | | | - Maya L Monroe
- Maryland Department of Health, Baltimore, Maryland, USA
| | - Anna Falkowski
- Michigan Department of Health and Human Services, Lansing, Michigan, USA
| | - Sue Kim
- Michigan Department of Health and Human Services, Lansing, Michigan, USA
| | - Ruth Lynfield
- Minnesota Department of Health, St.Paul, Minnesota, USA
| | | | - Kathy M Angeles
- New Mexico Emerging Infections Program, Albuquerque, New Mexico, USA
| | - Sarah A Khanlian
- New Mexico Emerging Infections Program, Albuquerque, New Mexico, USA
| | - Nancy L Spina
- NewYork State Department of Health, Albany, New York, USA
| | - Nancy M Bennett
- University of Rochester School of Medicine and Dentistry, Rochester, NewYork, USA
| | - Maria A Gaitán
- University of Rochester School of Medicine and Dentistry, Rochester, NewYork, USA
| | - Eli Shiltz
- Ohio Department of Health, Columbus, Ohio, USA
| | - Krista Lung
- Ohio Department of Health, Columbus, Ohio, USA
| | - Ann Thomas
- Oregon Health Authority, Portland, Oregon, USA
| | - H Keipp Talbot
- Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | | | - Andrea George
- Salt Lake County Health Department, Salt Lake City, Utah, USA
| | - Holly Staten
- Salt Lake County Health Department, Salt Lake City, Utah, USA
| | - Catherine H Bozio
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| |
Collapse
|
8
|
Andrew MK, Pott H, Staadegaard L, Paget J, Chaves SS, Ortiz JR, McCauley J, Bresee J, Nunes MC, Baumeister E, Raboni SM, Giamberardino HIG, McNeil SA, Gomez D, Zhang T, Vanhems P, Koul PA, Coulibaly D, Otieno NA, Dbaibo G, Almeida MLG, Laguna-Torres VA, Drăgănescu AC, Burtseva E, Sominina A, Danilenko D, Medić S, Diez-Domingo J, Lina B. Age Differences in Comorbidities, Presenting Symptoms, and Outcomes of Influenza Illness Requiring Hospitalization: A Worldwide Perspective From the Global Influenza Hospital Surveillance Network. Open Forum Infect Dis 2023; 10:ofad244. [PMID: 37383245 PMCID: PMC10296081 DOI: 10.1093/ofid/ofad244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 04/26/2023] [Indexed: 06/30/2023] Open
Abstract
Background The Global Influenza Hospital Surveillance Network (GIHSN) was established in 2012 to conduct coordinated worldwide influenza surveillance. In this study, we describe underlying comorbidities, symptoms, and outcomes in patients hospitalized with influenza. Methods Between November 2018 and October 2019, GIHSN included 19 sites in 18 countries using a standardized surveillance protocol. Influenza infection was laboratory-confirmed with reverse-transcription polymerase chain reaction. A multivariate logistic regression model was utilized to analyze the extent to which various risk factors predict severe outcomes. Results Of 16 022 enrolled patients, 21.9% had laboratory-confirmed influenza; 49.2% of influenza cases were A/H1N1pdm09. Fever and cough were the most common symptoms, although they decreased with age (P < .001). Shortness of breath was uncommon among those <50 years but increased with age (P < .001). Middle and older age and history of underlying diabetes or chronic obstructive pulmonary disease were associated with increased odds of death and intensive care unit (ICU) admission, and male sex and influenza vaccination were associated with lower odds. The ICU admissions and mortality occurred across the age spectrum. Conclusions Both virus and host factors contributed to influenza burden. We identified age differences in comorbidities, presenting symptoms, and adverse clinical outcomes among those hospitalized with influenza and benefit from influenza vaccination in protecting against adverse clinical outcomes. The GIHSN provides an ongoing platform for global understanding of hospitalized influenza illness.
Collapse
Affiliation(s)
- Melissa K Andrew
- Correspondence: Melissa K. Andrew, MD, PhD, Department of Medicine (Geriatrics), Dalhousie University, 5955 Veterans Memorial Lane, Halifax, NS B3H 2E1, Canada (); Bruno Lina, Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, 103 Grande Rue de la Croix-Rousse, Lyon, 69317 CEDEX 04, France ()
| | - Henrique Pott
- Dalhousie University and Canadian Center for Vaccinology, Halifax, Canada
- Department of Medicine, Universidade Federal de São Carlos, São Carlos, Brazil
| | - Lisa Staadegaard
- Netherlands Institute for Health Care Research (Nivel), Utrecht, Netherlands
| | - John Paget
- Netherlands Institute for Health Care Research (Nivel), Utrecht, Netherlands
| | - Sandra S Chaves
- Foundation for Influenza Epidemiology, Fondation de France, Paris, France
| | - Justin R Ortiz
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - John McCauley
- WHO Collaborating Centre for Reference and Research on Influenza, Crick Institute, London, United Kingdom
| | - Joseph Bresee
- Centre for Vaccine Equity, Task Force for Global Health, Atlanta, Georgia, USA
| | - Marta C Nunes
- South African Medical Research Council, Vaccines & Infectious Diseases Analytics (VIDA) Research Unit, and Department of Science and Technology/National Research Foundation, South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences University of the Witwatersrand, Johannesburg, South Africa
| | - Elsa Baumeister
- National Reference Laboratory for Viral Respiratory Diseases, Virology Department, INEI-ANLIS, Buenos Aires, Argentina
| | - Sonia Mara Raboni
- Molecular Biology/Microbiology Research Laboratory, Universidade Federal do Paraná, Curitiba, Brazil
| | - Heloisa I G Giamberardino
- Epidemiology, Immunization and Infection Control Department—Hospital Pequeno Principe, Curitiba, Paraná, Brazil
| | - Shelly A McNeil
- Dalhousie University and Canadian Center for Vaccinology, Halifax, Canada
| | - Doris Gomez
- Grupo de Investigación UNIMOL, Facultad de Medicina, Universidad de Cartagena, Cartagena de Indias, Colombia
| | - Tao Zhang
- School of Public Health, Fudan University, Shanghai, China
| | | | | | - Daouda Coulibaly
- Institut National d'Hygiène Publique (INHP), Abidjan, Côte d’Ivoire
| | - Nancy A Otieno
- Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Ghassan Dbaibo
- Center for Infectious Diseases Research, American University of Beirut, Beirut, Lebanon
| | | | | | | | - Elena Burtseva
- FSBI “N.F. Gamaleya NRCEM” Ministry of Health of the Russian Federation (Federal Research Budgetary Institute “National Research Center of Epidemiology and Microbiology named after honorary academician N.F. Gamaleya), Moscow, Russia
| | - Anna Sominina
- Smorodintsev Research Institute of Influenza, St. Petersburg, Russia
| | - Daria Danilenko
- Smorodintsev Research Institute of Influenza, St. Petersburg, Russia
| | - Snežana Medić
- Institute of Public Health of Vojvodina, Novi Sad, Serbia
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | | | - Bruno Lina
- Correspondence: Melissa K. Andrew, MD, PhD, Department of Medicine (Geriatrics), Dalhousie University, 5955 Veterans Memorial Lane, Halifax, NS B3H 2E1, Canada (); Bruno Lina, Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, 103 Grande Rue de la Croix-Rousse, Lyon, 69317 CEDEX 04, France ()
| |
Collapse
|
9
|
Verket M, Jacobsen M, Schütt K, Marx N, Müller-Wieland D. Influenza vaccination in patients affected by diabetes. Eur Heart J Suppl 2023; 25:A36-A41. [PMID: 36937371 PMCID: PMC10021494 DOI: 10.1093/eurheartjsupp/suac119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Type 2 diabetes, obesity-related metabolic syndrome, and insulin resistance are the most common metabolic disorders associated with increased cardiovascular risk. In addition, patients with Type 2 diabetes have an increased risk for a more severe course of influenza virus infection, a common pandemic. There is increasing evidence that influenza vaccination in patients with diabetes can safely and effectively reduce all-cause mortality and cardiovascular death. The effects of vaccination appear to be more effective when using higher-dose and quadrivalent vaccines, although subgroup-specific separate analyses in patients with diabetes are lacking. Clinical recommendations address influenza vaccination in all adults with diabetes. From our point of view, it should be an integral part of treatment strategies in patients with diabetes.
Collapse
Affiliation(s)
- Marlo Verket
- Department of Medicine I for Cardiology, Angiology and Intensive Care Medicine, University Hospital Aachen, Pauwelsstr. 30, Aachen 52074, Germany
| | - Malte Jacobsen
- Department of Medicine I for Cardiology, Angiology and Intensive Care Medicine, University Hospital Aachen, Pauwelsstr. 30, Aachen 52074, Germany
| | - Katharina Schütt
- Department of Medicine I for Cardiology, Angiology and Intensive Care Medicine, University Hospital Aachen, Pauwelsstr. 30, Aachen 52074, Germany
| | - Nikolaus Marx
- Department of Medicine I for Cardiology, Angiology and Intensive Care Medicine, University Hospital Aachen, Pauwelsstr. 30, Aachen 52074, Germany
| | | |
Collapse
|
10
|
Lee DH, Yang B, Gu S, Kim EG, Kim Y, Kang HK, Choe YH, Jeon HJ, Park S, Lee H. Influenza vaccination trend and related factors among patients with diabetes in Korea: Analysis using a nationwide database. Front Endocrinol (Lausanne) 2023; 14:1077846. [PMID: 36817596 PMCID: PMC9935563 DOI: 10.3389/fendo.2023.1077846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 01/20/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Subjects with diabetes are at higher risk of serious influenza-related complications. We aimed to investigate the yearly trend of influenza vaccination and factors associated with being unvaccinated for influenza in subjects with diabetes using a nationwide observational study performed within the recent decade. METHODS Among 105,732 subjects from the Korea National Health and Nutrition Examination Survey between 2007 and 2019, 8,632 with diabetes were included. We investigated the yearly trend of influenza vaccination and factors associated with being unvaccinated for influenza. RESULTS During the study period, the prevalence of influenza vaccination in subjects with diabetes showed a tendency to increase every year, reaching almost 60% in 2019, which was higher than the rate in subjects without diabetes. Younger age (adjusted hazard ratio (aHR) [95% CI] 11.29 [8.63-14.75] for < 50 years; 6.16 [5.21-7.29] for 50-65 years), male (aHR 1.67 [1.52-1.87]), current smoker (aHR 1.31 [1.00-1.72], lower-income status (aHR 1.46 [1.17, 1.84]), and high education level (aHR 1.30 [1.01-1.67]) were associated with being unvaccinated. Also, a poorer glycemic control with HbA1c ≥ 9% was found to be correlated with unvaccinated status (aHR 1.48 [1.15-1.90]). CONCLUSION The influenza vaccination rate is still unsatisfactory in subjects with diabetes. Young age, males, low-income level, high education level, and poor glycemic control were associated with unvaccinated status. Considering the risk-benefits of influenza vaccination in patients with diabetes, physicians should make an effort to increase vaccination rates, especially in low vaccination rate groups.
Collapse
Affiliation(s)
- Dong-Hwa Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungbuk National University College of Medicine and Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Bumhee Yang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | - Seonhye Gu
- Department of Epidemiology and Health Informatics, Korea University, Seoul, Republic of Korea
| | - Eung-Gook Kim
- Department of Biochemistry, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | - Youlim Kim
- Division of Pulmonary and Allergy, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Hyung Koo Kang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea
| | - Yeong Hun Choe
- Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, Jeonju, Republic of Korea
- Department of Internal Medicine, Chonbuk National University Hospital-Chonbuk National University Medical School, Jeonju, Republic of Korea
| | - Hyun Jeong Jeon
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungbuk National University College of Medicine and Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Seungyong Park
- Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, Jeonju, Republic of Korea
- Department of Internal Medicine, Chonbuk National University Hospital-Chonbuk National University Medical School, Jeonju, Republic of Korea
| | - Hyun Lee
- Division of Pulmonary Medicine and Allergy, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
11
|
Black CL, O’Halloran A, Hung MC, Srivastav A, Lu PJ, Garg S, Jhung M, Fry A, Jatlaoui TC, Davenport E, Burns E. Vital Signs: Influenza Hospitalizations and Vaccination Coverage by Race and Ethnicity-United States, 2009-10 Through 2021-22 Influenza Seasons. MMWR Morb Mortal Wkly Rep 2022; 71:1366-1373. [PMID: 36302226 PMCID: PMC9620569 DOI: 10.15585/mmwr.mm7143e1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
INTRODUCTION CDC estimates that influenza resulted in 9-41 million illnesses, 140,000-710,000 hospitalizations, and 12,000-52,000 deaths annually during 2010-2020. Persons from some racial and ethnic minority groups have historically experienced higher rates of severe influenza and had lower influenza vaccination coverage compared with non-Hispanic White (White) persons. This report examines influenza hospitalization and vaccination rates by race and ethnicity during a 12-13-year period (through the 2021-22 influenza season). METHODS Data from population-based surveillance for laboratory-confirmed influenza-associated hospitalizations in selected states participating in the Influenza-Associated Hospitalization Surveillance Network (FluSurv-NET) from the 2009-10 through 2021-22 influenza seasons (excluding 2020-21) and influenza vaccination coverage data from the Behavioral Risk Factor Surveillance System (BRFSS) from the 2010-11 through 2021-22 influenza seasons were analyzed by race and ethnicity. RESULTS From 2009-10 through 2021-22, age-adjusted influenza hospitalization rates (hospitalizations per 100,000 population) were higher among non-Hispanic Black (Black) (rate ratio [RR] = 1.8), American Indian or Alaska Native (AI/AN; RR = 1.3), and Hispanic (RR = 1.2) adults, compared with the rate among White adults. During the 2021-22 season, influenza vaccination coverage was lower among Hispanic (37.9%), AI/AN (40.9%), Black (42.0%), and other/multiple race (42.6%) adults compared with that among White (53.9%) and non-Hispanic Asian (Asian) (54.2%) adults; coverage has been consistently higher among White and Asian adults compared with that among Black and Hispanic adults since the 2010-11 season. The disparity in vaccination coverage by race and ethnicity was present among those who reported having medical insurance, a personal health care provider, and a routine medical checkup in the past year. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE Racial and ethnic disparities in influenza disease severity and influenza vaccination coverage persist. Health care providers should assess patient vaccination status at all medical visits and offer (or provide a referral for) all recommended vaccines. Tailored programmatic efforts to provide influenza vaccination through nontraditional settings, along with national and community-level efforts to improve awareness of the importance of influenza vaccination in preventing illness, hospitalization, and death among racial and ethnic minority communities might help address health care access barriers and improve vaccine confidence, leading to decreases in disparities in influenza vaccination coverage and disease severity.
Collapse
|