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Boattini M, Almeida A, Comini S, Bianco G, Cavallo R, Costa C. From Forgotten Pathogen to Target for New Vaccines: What Clinicians Need to Know about Respiratory Syncytial Virus Infection in Older Adults. Viruses 2024; 16:531. [PMID: 38675874 PMCID: PMC11053843 DOI: 10.3390/v16040531] [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: 03/07/2024] [Revised: 03/24/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Respiratory syncytial virus (RSV) is increasingly recognized as being implicated in acute illness in older adults, with a significant weight in hospitalizations for respiratory illness and death. By means of a best-evidence review, this paper aims to investigate whether RSV can be considered a forgotten pathogen in older patients, looking at trends in the literature volume and exploring possible epidemiological and clinical features underlying the focus given to it. We then present an assessment of its disease burden and present and future strategies for its reduction, particularly in light of the recent availability of new vaccines.
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Affiliation(s)
- Matteo Boattini
- Microbiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy; (G.B.)
- Department of Public Health and Paediatrics, University of Torino, 10126 Turin, Italy
- Lisbon Academic Medical Centre, 1649-028 Lisbon, Portugal
| | - André Almeida
- Department of Internal Medicine 4, Centro Hospitalar Universitário de Lisboa Central, Centro Clínico Académico de Lisboa, 1169-024 Lisbon, Portugal;
- NOVA Medical School, Universidade Nova de Lisboa, Centro Clínico Académico de Lisboa, 1169-056 Lisbon, Portugal
| | - Sara Comini
- Operative Unit of Clinical Pathology, Carlo Urbani Hospital, 60035 Jesi, Italy
| | - Gabriele Bianco
- Microbiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy; (G.B.)
- Department of Public Health and Paediatrics, University of Torino, 10126 Turin, Italy
- Department of Experimental Medicine, University of Salento, Via Provinciale Monteroni n. 165, 73100 Lecce, Italy
| | - Rossana Cavallo
- Microbiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy; (G.B.)
- Department of Public Health and Paediatrics, University of Torino, 10126 Turin, Italy
| | - Cristina Costa
- Microbiology and Virology Unit, University Hospital Città della Salute e della Scienza di Torino, 10126 Turin, Italy; (G.B.)
- Department of Public Health and Paediatrics, University of Torino, 10126 Turin, Italy
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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] [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.
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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
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Villanueva DDH, Arcega V, Rao M. Review of respiratory syncytial virus infection among older adults and transplant recipients. Ther Adv Infect Dis 2022; 9:20499361221091413. [PMID: 35464624 PMCID: PMC9019318 DOI: 10.1177/20499361221091413] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/14/2022] [Indexed: 11/25/2022] Open
Abstract
Respiratory syncytial virus (RSV) is a common cause of pulmonary infection among children and has been increasingly recognized as an important respiratory pathogen in older adults and immunocompromised hosts. Among older adults, RSV can lead to exacerbations of underlying lung and cardiac disease. It is also associated with significant morbidity and mortality in hematopoietic stem cell transplant (HSCT) and solid organ transplant (SOT) recipients and may be associated with acute rejection and chronic lung allograft dysfunction among lung transplant recipients (LTRs). Current treatment options for severe RSV disease are limited, and there is a paucity of guidance on RSV treatment among older adults. This narrative review provides a comprehensive overview of RSV disease in older adults, HSCT recipients, and SOT recipients. Nosocomial spread has been reported, thus highlighting the importance of infection prevention and control measures to prevent outbreaks. Antivirals, monoclonal antibodies for immunoprophylaxis, and vaccine development are underway; however, future research is still needed in these critical areas.
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Affiliation(s)
| | - Victor Arcega
- West Virginia University, Morgantown, WV, USA
- West Virginia University, Wheeling, WV, USA
| | - Mana Rao
- Essen Medical Associates, Bronx, NY, USA
- Archcare, New York, NY, USA
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Respiratory Syncytial Virus: New Challenges for Molecular Epidemiology Surveillance and Vaccination Strategy in Patients with ILI/SARI. Vaccines (Basel) 2021; 9:vaccines9111334. [PMID: 34835265 PMCID: PMC8622394 DOI: 10.3390/vaccines9111334] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/10/2021] [Accepted: 11/12/2021] [Indexed: 12/14/2022] Open
Abstract
Several respiratory pathogens are responsible for influenza-like illness (ILI) and severe respiratory infections (SARI), among which human respiratory syncytial virus (hRSV) represents one of the most common aetiologies. We analysed the hRSV prevalence among subjects with ILI or SARI during the five influenza seasons before the emergence of SARS-CoV-2 epidemic in Sicily (Italy). Respiratory specimens from ILI outpatients and SARI inpatients were collected in the framework of the Italian Network for the Influenza Surveillance and molecularly tested for hRSV-A and hRSV-B. Overall, 8.1% of patients resulted positive for hRSV. Prevalence peaked in the age-groups <5 years old (range: 17.6–19.1%) and ≥50 years old (range: 4.8–5.1%). While the two subgroups co-circulated throughout the study period, hRSV-B was slightly predominant over hRSV-A, except for the season 2019–2020 when hRSV-A strongly prevailed (82.9%). In the community setting, the distribution of hRSV subgroups was balanced (47.8% vs. 49.7% for hRSV-A and hRSV-B, respectively), while most infections identified in the hospital setting were caused by hRSV-B (69.5%); also, this latter one was more represented among hRSV cases with underlying diseases, as well as among those who developed a respiratory complication. The molecular surveillance of hRSV infections may provide a valuable insight into the epidemiological features of ILI/SARI. Our findings add new evidence to the existing knowledge on viral aetiology of ILI and SARI in support of public health strategies and may help to define high-risk categories that could benefit from currently available and future vaccines.
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Giacchetta I, Primieri C, Cavalieri R, Domnich A, de Waure C. The burden of seasonal influenza in Italy: A systematic review of influenza-related complications, hospitalizations, and mortality. Influenza Other Respir Viruses 2021; 16:351-365. [PMID: 34704361 PMCID: PMC8818820 DOI: 10.1111/irv.12925] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 09/28/2021] [Indexed: 12/13/2022] Open
Abstract
Reliable country‐specific data on influenza burden play a crucial role in informing prevention and control measures. Our purpose was to provide a comprehensive summary of the available evidence on the burden of seasonal influenza in Italy. We performed a systematic literature review of articles published until July 31, 2020. PubMed, Embase, and Web of Science were searched using terms related to burden, influenza, and Italian population. We included studies investigating seasonal influenza‐related complications, hospitalizations, and/or mortality. Sixteen studies were included: eight (50%) analyzed influenza‐related complications, eight (50%) hospitalizations, and seven (43.8%) influenza‐related deaths. Only three studies (19.7%) concerned pediatric age. The synthesis of results showed that patients with chronic conditions have an increased risk for complications up to almost three times as compared with healthy people. Hospitalizations due to influenza can occur in as much as 5% of infected people depending on the study setting. Excess deaths rates were over sixfold higher in the elderly as compared with the rest of population. Although there are still gaps in existing data, there is evidence of the significant burden that influenza places each year especially on high‐risk groups. These data should be used to inform public health decision‐making.
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Affiliation(s)
- Irene Giacchetta
- Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Chiara Primieri
- Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Riccardo Cavalieri
- Department of Medicine and Surgery, University of Perugia, Perugia, Italy
| | - Alexander Domnich
- Hygiene Unit, San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences, Genoa, Italy
| | - Chiara de Waure
- Department of Medicine and Surgery, University of Perugia, Perugia, Italy
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Gisby J, Clarke CL, Medjeral-Thomas N, Malik TH, Papadaki A, Mortimer PM, Buang NB, Lewis S, Pereira M, Toulza F, Fagnano E, Mawhin MA, Dutton EE, Tapeng L, Richard AC, Kirk PDW, Behmoaras J, Sandhu E, McAdoo SP, Prendecki MF, Pickering MC, Botto M, Willicombe M, Thomas DC, Peters JE. Longitudinal proteomic profiling of dialysis patients with COVID-19 reveals markers of severity and predictors of death. eLife 2021; 10:e64827. [PMID: 33704068 PMCID: PMC8064756 DOI: 10.7554/elife.64827] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 03/10/2021] [Indexed: 01/08/2023] Open
Abstract
End-stage kidney disease (ESKD) patients are at high risk of severe COVID-19. We measured 436 circulating proteins in serial blood samples from hospitalised and non-hospitalised ESKD patients with COVID-19 (n = 256 samples from 55 patients). Comparison to 51 non-infected patients revealed 221 differentially expressed proteins, with consistent results in a separate subcohort of 46 COVID-19 patients. Two hundred and three proteins were associated with clinical severity, including IL6, markers of monocyte recruitment (e.g. CCL2, CCL7), neutrophil activation (e.g. proteinase-3), and epithelial injury (e.g. KRT19). Machine-learning identified predictors of severity including IL18BP, CTSD, GDF15, and KRT19. Survival analysis with joint models revealed 69 predictors of death. Longitudinal modelling with linear mixed models uncovered 32 proteins displaying different temporal profiles in severe versus non-severe disease, including integrins and adhesion molecules. These data implicate epithelial damage, innate immune activation, and leucocyte-endothelial interactions in the pathology of severe COVID-19 and provide a resource for identifying drug targets.
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Affiliation(s)
- Jack Gisby
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Candice L Clarke
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
- Renal and Transplant Centre, Hammersmith Hospital, Imperial College Healthcare NHS TrustLondonUnited Kingdom
| | - Nicholas Medjeral-Thomas
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
- Renal and Transplant Centre, Hammersmith Hospital, Imperial College Healthcare NHS TrustLondonUnited Kingdom
| | - Talat H Malik
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Artemis Papadaki
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Paige M Mortimer
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Norzawani B Buang
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Shanice Lewis
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Marie Pereira
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Frederic Toulza
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Ester Fagnano
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Marie-Anne Mawhin
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Emma E Dutton
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Lunnathaya Tapeng
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Arianne C Richard
- Cambridge Institute for Medical Research, University of CambridgeCambridgeUnited Kingdom
- CRUK Cambridge Institute, University of CambridgeCambridgeUnited Kingdom
| | - Paul DW Kirk
- MRC Biostatistics Unit, Forvie Way, University of CambridgeCambridgeUnited Kingdom
- Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of CambridgeCambridgeUnited Kingdom
| | - Jacques Behmoaras
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Eleanor Sandhu
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
- Renal and Transplant Centre, Hammersmith Hospital, Imperial College Healthcare NHS TrustLondonUnited Kingdom
| | - Stephen P McAdoo
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
- Renal and Transplant Centre, Hammersmith Hospital, Imperial College Healthcare NHS TrustLondonUnited Kingdom
| | - Maria F Prendecki
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
- Renal and Transplant Centre, Hammersmith Hospital, Imperial College Healthcare NHS TrustLondonUnited Kingdom
| | - Matthew C Pickering
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Marina Botto
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
| | - Michelle Willicombe
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
- Renal and Transplant Centre, Hammersmith Hospital, Imperial College Healthcare NHS TrustLondonUnited Kingdom
| | - David C Thomas
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
- Renal and Transplant Centre, Hammersmith Hospital, Imperial College Healthcare NHS TrustLondonUnited Kingdom
| | - James E Peters
- Centre for Inflammatory Disease, Department of Immunology and Inflammation, Imperial College LondonLondonUnited Kingdom
- Health Data Research UKLondonUnited Kingdom
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