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Malgrat-Caballero S, Kannukene A, Orrego C. Instruments and Warning Signs for Identifying and Evaluating the Frequency of Adverse Events in Intermediate and Long-Term Care Centres: A Narrative Systematic Review. J Healthc Qual Res 2024; 39:315-326. [PMID: 39013688 DOI: 10.1016/j.jhqr.2024.06.004] [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] [Received: 02/13/2024] [Revised: 05/27/2024] [Accepted: 06/21/2024] [Indexed: 07/18/2024]
Abstract
INTRODUCTION There is a lack of data about adverse events (AE) in intermediate and long-term care centers (ILCC). We aimed to synthesize the available scientific evidence on instruments used to identify and characterize AEs. We also aimed to describe the most common adverse events in ILCCs. MATERIAL AND METHODS A narrative systematic review of the literature was conducted according to Prisma recommendations. The PubMed database was searched for articles published between 2000 and 2021. Two reviewers independently screened and reviewed the studies through blind and independent review. We evaluated bias risk with Cochrane's risk of bias tool. Disagreements were resolved by consensus. Discrepancies that were not resolved by discussion were discussed with a third reviewer. Descriptive data was extracted and qualitative content analysis was performed. RESULTS We found 2191 articles. Based on the inclusion and exclusion criteria, 272 papers were screened by title and abstract, and 66 studies were selected for full review. The instruments used to identify AEs were mostly tools to identify specific AEs or risks of AEs (94%), the remaining 6% were multidimensional. The most frequent categories detected medication-related AEs (n=26, 40%); falls (n=7, 11%); psychiatric AEs (6.9%); malnutrition (4.6%), and infections (4.6%). The studies that used multidimensional tools refer to frailty, dependency, or lack of energy as predictors of AEs. However, they do not take into account the importance of detecting AEs. We found 2-11 adverse drug events (ADE) per resident/month. We found a prevalence of falls (12.5%), delirium (9.6-89%), pain (68%), malnutrition (2-83%), and pressure ulcers (3-30%). Urinary tract infections, lower respiratory tract infections, skin and soft tissue infections, and gastroenteritis were the most common infections in this setting. Transitions between different care settings (from hospitals to ILCC and vice versa) expose AE risk. CONCLUSION There are many instruments to detect AEs in ILCC, and most have a specific approach. Adverse events affect a significant proportion of patients in ILCC, the nurse-sensitive outcomes, nosocomial infections, and adverse drug events are among the most common. The systematic review was registered with Prospero, ID: CRD42022348168.
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Affiliation(s)
- S Malgrat-Caballero
- Centre d'Atenció Intermèdia, Parc Sanitari Pere Virgili, Barcelona, Spain; REFiT-BCN (Research Group on Aging, Frailty and Care Transitions in Barcelona), VHIR (Vall d'Hebron Research Institute), Barcelona, Spain; Programa de Doctorat Interuniversitari de Cures Integrals i Serveis de Salut, Universitat de Vic-Universitat Central de Catalunya, Spain.
| | - A Kannukene
- University of Tartu, Junior Researcher and PhD Student L. Puusepa 8, 50406 Tartu, Estonia
| | - C Orrego
- Avedis Donabedian Research Institute (FAD), 08037 Barcelona, Spain; Faculty of Medicine, Universitat Autónoma de Barcelona (UAB), 08025 Barcelona, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Barcelona, Spain
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2
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Keilich SR, Cadar AN, Ahern DT, Torrance BL, Lorenzo EC, Martin DE, Haynes L, Bartley JM. Altered T cell infiltration and enrichment of leukocyte regulating pathways within aged skeletal muscle are associated impaired muscle function following influenza infection. GeroScience 2023; 45:1197-1213. [PMID: 36580167 PMCID: PMC9886695 DOI: 10.1007/s11357-022-00715-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: 10/25/2022] [Accepted: 12/09/2022] [Indexed: 12/30/2022] Open
Abstract
Older adults have diminished immune responses that increase susceptibility to infectious diseases, such as influenza (flu). In older adults, flu infection can lead to hospitalization, catastrophic disability, and mortality. We previously demonstrated severe and prolonged muscle degradation and atrophy in aged mice during flu infection. Here, we utilized an unbiased transcriptomic analysis to elucidate mechanisms of flu-induced muscular declines in a mouse model. Our results showed age-related gene expression differences including downregulation of genes associated with muscle regeneration and organization and upregulation of genes associated with pro-inflammatory cytokines and migratory immune pathways in aged mice when compared to young. Pathway analysis revealed significant enrichment of leukocyte migration and T cell activation pathways in the aged muscle during infection. Intramuscular CD4 T cells increased in both young and aged mice during infection, while intramuscular CD8 T cells increased exclusively in aged muscle. CD4 T cells in young muscle were regulatory T cells (Treg), while those in aged were T follicular helper (Tfh) and Th2 cells. Correspondingly, IL-33, an important cytokine for Treg accumulation within tissue, increased only in young flu-infected muscle. Conversely, CXCL10 (IP-10) increased only in aged muscle suggesting a continued recruitment of CD8 T cells into the aged muscle during flu infection. Overall, our findings elucidate a link between flu-induced disability and dysregulated intracellular T cell recruitment into flu-injured muscle with aging. Furthermore, we uncovered potential pathways involved that can be targeted to develop preventative and therapeutic interventions to avert disability and maintain independence following infection.
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Affiliation(s)
- Spencer R Keilich
- UConn Center On Aging, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
- Department of Immunology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
- Millipore Sigma, 400 Summit Drive, Burlington, MA, 01803, USA
| | - Andreia N Cadar
- UConn Center On Aging, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
- Department of Immunology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Darcy T Ahern
- Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
- Intellia Therapeutics, 40 Erie St, Cambridge, MA, 02139, USA
| | - Blake L Torrance
- UConn Center On Aging, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
- Department of Immunology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Erica C Lorenzo
- UConn Center On Aging, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
- Department of Immunology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Dominique E Martin
- UConn Center On Aging, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
- Department of Immunology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Laura Haynes
- UConn Center On Aging, University of Connecticut School of Medicine, Farmington, CT, 06030, USA.
- Department of Immunology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA.
| | - Jenna M Bartley
- UConn Center On Aging, University of Connecticut School of Medicine, Farmington, CT, 06030, USA.
- Department of Immunology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA.
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Li C, Jiang X, Yue Q, Wei Y, Wang Y, Ho JYE, Lao XQ, Chong KC. Relationship between meteorological variations, seasonal influenza, and hip fractures in the elderly: A modelling investigation using 22-year data. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 862:160764. [PMID: 36513237 DOI: 10.1016/j.scitotenv.2022.160764] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 11/17/2022] [Accepted: 12/04/2022] [Indexed: 06/17/2023]
Abstract
With the heavy negative health effect and economic burden of hip fractures in the elderly, the relationship of hip fractures with climate and seasonal influenza has not been quantified explicitly. In this study, we aim to make use of population-based data to evaluate the impact of meteorological factors and influenza activity on the hip fracture admissions for the elderly in Hong Kong from 1998 to 2019. Weekly numbers of admissions for the elderly due to hip fractures were used as the study outcome, and were matched with the meteorological factors included air temperature, relative humidity, solar radiation, and total rainfall. Strain-specific influenza-like illness-positive (ILI+) rates were employed as proxies for seasonal influenza activity. Quasi-Poisson generalized additive model in conjunction with distributed-lag non-linear model was used to elucidate the association of interest. According to the results, a total of 191,680 hip fracture admissions for the elderly aged ≥65 years were recorded over a 22-year span. The cumulative adjusted relative risks of hip fracture were 1.35 (95 % CI, 1.26-1.44) at the 5th percentile (15.05 °C) of air temperature, and 1.06 (95 % CI, 1.02-1.10) at the 95th percentile (20.91 MJ/m2) of solar radiation, with the reference value set to their respective medians. ILI+ rates were not associated with the risk of hip fracture. In the stratified analyses, a stronger association between cold condition and hip fracture was observed in males. Based on the results, strategies for preventing hip fractures with a focus on behaviors under unfavorable weather conditions should be targeted at individuals at risk.
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Affiliation(s)
- Conglu Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Xiaoting Jiang
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Qianying Yue
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Yuchen Wei
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong; Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Yawen Wang
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Janice Ying-En Ho
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Xiang Qian Lao
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong
| | - Ka Chun Chong
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong; Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China; Centre for Health Systems and Policy Research, The Chinese University of Hong Kong, Hong Kong.
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4
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Nealon J, Derqui N, de Courville C, Biering-Sørensen T, Cowling BJ, Nair H, Chaves SS. Looking back on 50 years of literature to understand the potential impact of influenza on extrapulmonary medical outcomes. Open Forum Infect Dis 2022; 9:ofac352. [PMID: 35937650 PMCID: PMC9350618 DOI: 10.1093/ofid/ofac352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 07/20/2022] [Indexed: 11/30/2022] Open
Abstract
We conducted a scoping review of the epidemiological literature from the past 50 years to document the contribution of influenza virus infection to extrapulmonary clinical outcomes. We identified 99 publications reporting 243 associations using many study designs, exposure and outcome definitions, and methods. Laboratory confirmation of influenza was used in only 28 (12%) estimates, mostly in case-control and self-controlled case series study designs. We identified 50 individual clinical conditions associated with influenza. The most numerous estimates were of cardiocirculatory diseases, neurological/neuromuscular diseases, and fetal/newborn disorders, with myocardial infarction the most common individual outcome. Due to heterogeneity, we could not generate summary estimates of effect size, but of 130 relative effect estimates, 105 (81%) indicated an elevated risk of extrapulmonary outcome with influenza exposure. The literature is indicative of systemic complications of influenza virus infection, the requirement for more effective influenza control, and a need for robust confirmatory studies.
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Affiliation(s)
- Joshua Nealon
- Sanofi , Lyon , France
- School of Public Health, The University of Hong Kong , Hong Kong Special Administrative Region , China
| | - Nieves Derqui
- Sanofi , Lyon , France
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London , UK
| | | | - Tor Biering-Sørensen
- Department of Cardiology, Copenhagen University Hospital - Herlev and Gentofte , Copenhagen , Denmark
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen , Copenhagen , Denmark
| | - Benjamin J Cowling
- School of Public Health, The University of Hong Kong , Hong Kong Special Administrative Region , China
| | - Harish Nair
- Usher Institute, The University of Edinburgh , Scotland , UK
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Axelsson KF, Litsne H, Lorentzon M. Fractures and fall injuries after hospitalization for seasonal influenza-a national retrospective cohort study. Osteoporos Int 2022; 33:47-56. [PMID: 34436639 PMCID: PMC8390060 DOI: 10.1007/s00198-021-06068-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 07/12/2021] [Indexed: 01/27/2023]
Abstract
In this retrospective cohort study of 6604 adults, 65 years or older, admitted with seasonal influenza at Swedish hospitals, and 330,200 age- and sex-matched controls from the general population admitted for other reasons, were included. Patients with influenza had increased risk of fall injuries and fractures compared to controls. INTRODUCTION Fractures and fall injuries often lead to disability, increased morbidity, and mortality. Older adults are at higher risk of influenza-related complications such as pneumonia, cardiovascular events, and deaths, but the risk of fractures and fall injuries is unclear. The primary objective of this study was to investigate the risk of fractures and fall injuries in older patients after admission with seasonal influenza. METHODS In this retrospective cohort study of 6604 adults, 65 years or older, admitted with seasonal influenza at Swedish hospitals (from December 1, 2015, to December 31, 2017) and 330,200 age- and sex-matched controls from the general population and admitted for other reasons, the risk of fracture or fall injury was investigated. RESULTS The mean (SD) age of the 6604 influenza patients was 80.9 (8.1) years and 50.1% were women. During the first year after hospital discharge, there were 680 (10.3%) patients suffering from a fracture or fall injury among the patients with influenza, and 25,807 (7.8%) among the controls, corresponding to incident rates of 141 (95% CI, 131-152) and 111 (95% CI, 110-112) fractures or fall injuries per 1000 person-years respectively, translating to a significantly increased risk of fracture or fall injury in a Cox regression model (hazard ratio (HR) 1.28 (95% CI, 1.19-1.38)), a risk that was maintained after multivariable adjustment (HR 1.22 (95% CI 1.13-1.31)). CONCLUSIONS Older adults admitted with influenza diagnosis have an increased risk of fracture or fall injury during the first year after discharge.
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Affiliation(s)
- K F Axelsson
- Närhälsan Norrmalm Health Centre, Skövde, Sweden
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Building K, 6th Floor, 431 80, Mölndal, Sweden
| | - H Litsne
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Building K, 6th Floor, 431 80, Mölndal, Sweden
| | - M Lorentzon
- Sahlgrenska Osteoporosis Centre, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Building K, 6th Floor, 431 80, Mölndal, Sweden.
- Mary McKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia.
- Geriatric Medicine, Sahlgrenska University Hospital, Mölndal, Sweden.
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6
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Nazemi AK, Al-Humadi SM, Tantone R, Hays TR, Bowen SN, Komatsu DE, Divaris N. Hip Fractures Before and During the COVID-19 Pandemic: Comparative Demographics and Outcomes. Geriatr Orthop Surg Rehabil 2021; 12:21514593211003077. [PMID: 33796344 PMCID: PMC7983432 DOI: 10.1177/21514593211003077] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 02/23/2021] [Accepted: 02/24/2021] [Indexed: 12/31/2022] Open
Abstract
Introduction During the height of the COVID-19 pandemic in New York, hip fractures requiring operative management continued to present to Stony Brook University Hospital. Given the novelty of SARS-CoV-2, there is recent interest in the pandemic and its relationship to orthopedic operative outcomes. This retrospective cohort study compared outcomes for operative hip fractures in patients prior to and during the COVID-19 pandemic at a level 1 academic center. Materials and Methods: Data was collected on patients age 18 years or older who underwent operative management for hip fractures performed from January 21, 2019 to July 1, 2019 (pre-pandemic) or from January 21, 2020 to July 1, 2020 (pandemic). COVID-19 status, demographics and outcomes were analyzed. Results Overall, 159 patients with hip fractures were included in this study, 103 in the 2019 group and 56 in the 2020 group. Within the 2019 group, there was a significantly greater proportion of female patients compared to 2020 (p = 0.0128). The length of hospital stay was shorter for the 2020 group by 1.84 days (p = 0.0138). COVID-19 testing was positive in 4 (7.1%) patients in the 2020 group, negative for 22 patients (39.3%), and the remaining 30 patients in the 2020 group (53.7%) were not tested during their admission. There were no other significant differences in demographics or outcomes between the 2019 and 2020 groups. Discussion The COVID-19 pandemic did not significantly alter most aspects of care for hip fracture patients at our institution. Interestingly, postoperative pulmonary outcomes were not affected by the pandemic. Conclusions In this study, a significantly higher proportion of males presented with hip fractures in the pandemic group. In addition, the average length of hospital stay was shorter during the COVID-19 pandemic. Further research is needed to understand the nuances that may lead to improved care for patients with hip fractures during a pandemic.
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Affiliation(s)
- Alireza K Nazemi
- Department of Orthopaedic Surgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Samer M Al-Humadi
- Department of Orthopaedic Surgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Ryan Tantone
- Department of Orthopaedic Surgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Thomas R Hays
- Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Stephen N Bowen
- Department of Orthopaedic Surgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - David E Komatsu
- Department of Orthopaedic Surgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Nicholas Divaris
- Department of Orthopaedic Surgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
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7
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Macias AE, McElhaney JE, Chaves SS, Nealon J, Nunes MC, Samson SI, Seet BT, Weinke T, Yu H. The disease burden of influenza beyond respiratory illness. Vaccine 2020; 39 Suppl 1:A6-A14. [PMID: 33041103 PMCID: PMC7545338 DOI: 10.1016/j.vaccine.2020.09.048] [Citation(s) in RCA: 125] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 07/10/2020] [Accepted: 09/02/2020] [Indexed: 02/07/2023]
Abstract
Although influenza is primarily considered a respiratory infection and causes significant respiratory mortality, evidence suggests that influenza has an additional burden due to broader consequences of the illness. Some of these broader consequences include cardiovascular events, exacerbations of chronic underlying conditions, increased susceptibility to secondary bacterial infections, functional decline, and poor pregnancy outcomes, all of which may lead to an increased risk for hospitalization and death. Although it is methodologically difficult to measure these impacts, epidemiological and interventional study designs have evolved over recent decades to better take them into account. Recognizing these broader consequences of influenza virus infection is essential to determine the full burden of influenza among different subpopulations and the value of preventive approaches. In this review, we outline the main influenza complications and societal impacts beyond the classical respiratory symptoms of the disease.
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Affiliation(s)
- Alejandro E Macias
- Department of Medicine and Nutrition, University of Guanajuato, Guanajuato, Mexico.
| | | | | | | | - Marta C Nunes
- Medical Research Council: Respiratory and Meningeal Pathogens Research Unit, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Department of Science and Technology/National Research Foundation: Vaccine Preventable Diseases Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | | | - Bruce T Seet
- Sanofi Pasteur, Toronto, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Canada.
| | | | - Hongjie Yu
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China.
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8
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Ogliari G, Lunt E, Ong T, Marshall L, Sahota O. The impact of lockdown during the COVID-19 pandemic on osteoporotic fragility fractures: an observational study. Arch Osteoporos 2020; 15:156. [PMID: 33026586 PMCID: PMC7539555 DOI: 10.1007/s11657-020-00825-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 09/15/2020] [Indexed: 02/03/2023]
Abstract
We investigated whether osteoporotic fractures declined during lockdown, among adults aged 50 years and older. We showed that fewer outpatients attended the Fracture Clinic, for non-hip fractures, during lockdown; in contrast, no change in admissions for hip fractures was observed. This could be due to fewer outdoors falls, during lockdown. PURPOSE Many countries implemented a lockdown to control the spread of the COVID-19 pandemic. We explored whether outpatient attendances to the Fracture Clinic for non-hip fragility fracture and inpatient admissions for hip fracture declined during lockdown, among adults aged 50 years and older, in a large secondary care hospital. METHODS In our observational study, we analysed the records of 6681 outpatients attending the Fracture Clinic, for non-hip fragility fractures, and those of 1752 inpatients, admitted for hip fracture, during the time frames of interest. These were weeks 1st to 12th in 2020 ("prior to lockdown"), weeks 13th to 19th in 2020 ("lockdown") and corresponding periods over 2015 to 2019. We tested for differences in mean numbers (standard deviation (SD)) of outpatients and inpatients, respectively, per week, during the time frames of interest, across the years. RESULTS Prior to lockdown, in 2020, 63.1 (SD 12.6) outpatients per week attended the Fracture Clinic, similar to previous years (p value 0.338). During lockdown, 26.0 (SD 7.3) outpatients per week attended the Fracture Clinic, fewer than previous years (p value < 0.001); similar findings were observed in both sexes and age groups (all p values < 0.001). During lockdown, 16.1 (SD 5.6) inpatients per week were admitted for hip fracture, similar to previous years (p value 0.776). CONCLUSION During lockdown, fewer outpatients attended the Fracture Clinic, for non-hip fragility fractures, while no change in inpatient admissions for hip fracture was observed. This could reflect fewer non-hip fractures and may inform allocation of resources during pandemic.
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Affiliation(s)
- Giulia Ogliari
- Department of Health Care for Older People (HCOP), Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Derby Road, Nottingham, Nottinghamshire, NG7 2UH, UK.
| | - Eleanor Lunt
- Department of Health Care for Older People (HCOP), Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Derby Road, Nottingham, Nottinghamshire, NG7 2UH, UK
| | - Terence Ong
- Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Lindsey Marshall
- Department of Trauma & Orthopaedics, Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Opinder Sahota
- Department of Health Care for Older People (HCOP), Queen's Medical Centre, Nottingham University Hospitals NHS Trust, Derby Road, Nottingham, Nottinghamshire, NG7 2UH, UK
- University of Nottingham , Nottingham, UK
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9
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Pisa FE, Reinold J, Kollhorst B, Haug U, Schink T. Individual Antidepressants and the Risk of Fractures in Older Adults: A New User Active Comparator Study. Clin Epidemiol 2020; 12:667-678. [PMID: 32606992 PMCID: PMC7319507 DOI: 10.2147/clep.s222888] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 04/01/2020] [Indexed: 11/23/2022] Open
Abstract
Objective To determine the risk of hip–pelvis and other non-vertebral fractures in older adults using antidepressants (ADs). Methods We conducted a case–control study nested in a cohort of new users of ADs aged ≥65 years without prior hip–pelvis or other non-vertebral fractures, identified in the German Pharmacoepidemiological Research Database (GePaRD) during 2005–2014. Cases were patients first hospitalized for hip–pelvis or other non-vertebral fractures. Up to 100 controls per case were selected using incidence density sampling. AD use was ascertained at index date (ID) based on the supply of last dispensing. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression with current users of mirtazapine as reference (active comparator). Results A total of 39,853 cases of hip–pelvis fracture (80% women, median age 81 years) and 31,577 cases of other fractures (84% women, median age 79 years) were matched to >3 million controls. For hip–pelvis fracture, aORs in current users were about 1.3 with little variation between individual ADs, ranging from 1.33 for citalopram (95% CI 1.27–1.39) to 1.28 for amitriptyline (1.21–1.35). For other fractures, the aORs were highest in current users of citalopram (1.50; 1.42–1.58) and duloxetine (1.54; 1.39–1.71) and lowest for amitriptyline (1.18; 1.11–1.26) and trimipramine (1.16; 1.03–1.29). For all examined ADs, the aORs were higher for other fractures than for hip–pelvis fracture. Conclusion The risk of fractures varies between ADs, but for most agents is higher than the risk for mirtazapine. When treating older adults with ADs, prescribers should carefully consider the risk profile of individual ADs regarding fractures, which are a major health problem in this population.
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Affiliation(s)
- Federica Edith Pisa
- Department of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Jonas Reinold
- Department of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Bianca Kollhorst
- Department of Biometry and Data Management, Leibniz Institute for Prevention Researchand Epidemiology - BIPS, Bremen, Germany
| | - Ulrike Haug
- Department of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.,Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany
| | - Tania Schink
- Department of Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
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10
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Keilich SR, Lorenzo EC, Torrance BL, Harrison AG, Bartley JM, Haynes L. Vaccination mitigates influenza-induced muscular declines in aged mice. GeroScience 2020; 42:1593-1608. [PMID: 32472355 DOI: 10.1007/s11357-020-00206-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 05/19/2020] [Indexed: 10/24/2022] Open
Abstract
Influenza (flu) infection increases the risk for disability, falls, and broken bones in older adults. We have employed a preclinical model to examine the impact of flu on muscle function, which has a direct impact on fall risk. In mice, flu causes mobility and strength impairments with induction of inflammatory and muscle degradation genes that are increased and prolonged with aging. To determine if vaccination could reduce flu-induced muscle decrements, mice were vaccinated with flu nucleoprotein, infected, and muscle parameters were measured. Vaccination of aged mice resulted in significant protection from functional decrements, muscle gene expressions alterations, and morphological damage. Vaccination also improved protection from lung localized and systemic inflammation in aged mice. Despite documented decreased vaccine efficacy with aging, vaccination still provided partial protection to aged mice and represents a potential strategy to prevent flu-induced disability. These findings provide translational insight on ways to reduce flu-induced disability with aging. Graphical abstract .
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Affiliation(s)
- Spencer R Keilich
- UConn Center on Aging, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA.,Department of Immunology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA
| | - Erica C Lorenzo
- UConn Center on Aging, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA.,Department of Immunology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA
| | - Blake L Torrance
- UConn Center on Aging, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA.,Department of Immunology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA
| | - Andrew G Harrison
- Department of Immunology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA
| | - Jenna M Bartley
- UConn Center on Aging, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA.,Department of Immunology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA
| | - Laura Haynes
- UConn Center on Aging, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA. .,Department of Immunology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA.
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11
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Health Literacy, Vaccine Confidence and Influenza Vaccination Uptake among Nursing Home Staff: A Cross-Sectional Study Conducted in Tuscany. Vaccines (Basel) 2020; 8:vaccines8020154. [PMID: 32235481 PMCID: PMC7348841 DOI: 10.3390/vaccines8020154] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 03/26/2020] [Accepted: 03/28/2020] [Indexed: 01/08/2023] Open
Abstract
The aim of this cross-sectional study is to address whether health literacy (HL) and vaccine confidence are related with influenza vaccination uptake among staff of nursing homes (NHs). It was conducted in Tuscany (Italy) in autumn 2018, including the staff of 28 NHs. A questionnaire was used to collect individual data regarding influenza vaccination in 2016–2017 and 2017–2018 seasons; the intention to be vaccinated in 2018–2019; as well as demographic, educational, and health information. It included also the Italian Medical Term Recognition (IMETER) test to measure HL and eight Likert-type statements to calculate a Vaccine Confidence Index (VCI). The number of employees that fulfilled the questionnaire was 710. The percentage of influenza vaccination uptake was low: only 9.6% got vaccinated in 2016–2017 and 2017–2018 and intended to vaccinate in 2018–2019. The VCI score and the IMETER-adjusted scores were weakly correlated (Rho = 0.156). At the multinomial logistic regression analysis, the VCI was a positive predictor of vaccination uptake. In conclusion, vaccine confidence is the strongest predictor of influenza vaccination uptake among the staff of NHs. The development of an adequate vaccine literacy measurement tool could be useful to understand whether skills could be related to vaccine confidence.
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12
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Lasselin J, Sundelin T, Wayne PM, Olsson MJ, Paues Göranson S, Axelsson J, Lekander M. Biological motion during inflammation in humans. Brain Behav Immun 2020; 84:147-153. [PMID: 31785395 PMCID: PMC7010549 DOI: 10.1016/j.bbi.2019.11.019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 11/19/2019] [Accepted: 11/23/2019] [Indexed: 12/26/2022] Open
Abstract
Biological motion is a powerful perceptual cue that can reveal important information about the inner state of an individual. Activation of inflammatory processes likely leads to changes in gait, posture, and mobility patterns, but the specific characteristics of inflammation-related biological motion have not been characterized. The aim of this study was to determine the effect of inflammation on gait and motion in humans. Systemic inflammation was induced in 19 healthy volunteers with an intravenous injection of lipopolysaccharide (2 ng/kg body weight). Biological motion parameters (walking speed, stride length and time, arm, leg, head, and shoulder angles) were assessed during a walking paradigm and the timed-up-and-go test. Cytokine concentrations, body temperature, and sickness symptoms were measured. During inflammation, compared to placebo, participants exhibited shorter, slower, and wider strides, less arm extension, less knee flexion, and a more downward-tilting head while walking. They were also slower and took a shorter first step in the timed-up-and-go test. Higher interleukin-6 concentrations, stronger sickness symptoms, and lower body temperature predicted the inflammation-related alterations in biological motion. These findings show that biological motion contains clear information about the inflammatory status of an individual, and may be used by peers or artificial intelligence to recognize that someone is sick or contagious.
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Affiliation(s)
- J Lasselin
- Stress Research Institute, Stockholm University, 10691 Stockholm, Sweden; Department of Clinical Neuroscience, Division for Psychology, Karolinska Institutet, Nobels väg 9, 17177 Stockholm, Sweden; Institute of Medical Psychology and Behavioral Immunobiology, University Hospital Essen, Hufelandstrasse 55, 45122 Essen, Germany.
| | - T Sundelin
- Stress Research Institute, Stockholm University, 10691 Stockholm, Sweden; Department of Clinical Neuroscience, Division for Psychology, Karolinska Institutet, Nobels väg 9, 17177 Stockholm, Sweden; Department of Psychology, New York University, 6 Washington Place, 10003 New York, NY, USA
| | - P M Wayne
- Osher Center for Integrative Medicine, Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, 75 Francis Stress, 02115 Boston, MA, USA
| | - M J Olsson
- Department of Clinical Neuroscience, Division for Psychology, Karolinska Institutet, Nobels väg 9, 17177 Stockholm, Sweden
| | - S Paues Göranson
- Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, 18288 Stockholm, Sweden
| | - J Axelsson
- Stress Research Institute, Stockholm University, 10691 Stockholm, Sweden; Department of Clinical Neuroscience, Division for Psychology, Karolinska Institutet, Nobels väg 9, 17177 Stockholm, Sweden; Osher Center for Integrative Medicine, Karolinska Institutet, Nobels väg 9, 17177 Stockholm, Sweden
| | - M Lekander
- Stress Research Institute, Stockholm University, 10691 Stockholm, Sweden; Department of Clinical Neuroscience, Division for Psychology, Karolinska Institutet, Nobels väg 9, 17177 Stockholm, Sweden; Osher Center for Integrative Medicine, Karolinska Institutet, Nobels väg 9, 17177 Stockholm, Sweden
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13
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Resnick B, Gravenstein S, Schaffner W, Sobczyk E, Douglas RG. Beyond Prevention of Influenza: The Value of Flu Vaccines. J Gerontol A Biol Sci Med Sci 2019; 73:1635-1637. [PMID: 30418526 DOI: 10.1093/gerona/gly241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Indexed: 11/14/2022] Open
Affiliation(s)
| | | | - William Schaffner
- Division of Infectious Diseases, Department of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee
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14
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McConeghy KW, Huang SS, Miller LG, McKinnell JA, Shireman TI, Mor V, Gravenstein S. Hospital Influenza Admissions as a Harbinger for Nursing Home Influenza Cases. J Am Med Dir Assoc 2019; 21:121-126. [PMID: 31445924 DOI: 10.1016/j.jamda.2019.06.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 03/22/2019] [Accepted: 06/24/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To determine temporal associations of local measures of influenza morbidity and mortality by the Centers for Disease Control and Prevention (CDC) with influenza hospitalizations in nursing home residents. DESIGN Retrospective, longitudinal panel study. SETTING AND PARTICIPANTS Long-stay nursing home residents, aged 65 years or older in 823 nursing homes from 2011 to 2015. MEASURES CDC-reported rates of influenza and pneumonia mortality and laboratory-confirmed influenza hospitalizations. We compared the CDC measures to nursing home resident hospitalizations due to (1) all-cause, (2) a primary diagnosis of respiratory or circulatory illness, and (3) a primary diagnosis of pneumonia or influenza based on Medicare Part A Claims data. RESULTS Our final sample included 273,743 unique residents in 819 nursing homes in 108 cities. National laboratory-confirmed influenza-associated hospitalizations for the group aged 65 and older occurred 0 to 1 week prior to nursing home resident influenza-related hospitalizations (Spearman ρ = 0.54). CDC-reported influenza hospitalizations occurred 3 weeks prior to CDC-reported influenza deaths (ρ = 0.59). Nursing home resident influenza hospitalizations occurred 2 weeks before local CDC-reported pneumonia and influenza deaths occurred (ρ = 0.44). CONCLUSIONS/IMPLICATIONS Publicly reported CDC measures correlate well with nursing home hospitalizations for pneumonia and influenza. Rates of laboratory-confirmed influenza hospitalizations (as reported by the CDC) may be a useful surrogate for nursing home influenza outbreaks but should be considered along with local indicators of disease outbreaks. Early community signals could be clinically leveraged as a trigger for increased infection control measures in nursing homes.
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Affiliation(s)
- Kevin W McConeghy
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI; Center of Innovation-Long-Term Services and Supports, Providence VA Medical Center, Providence, RI.
| | - Susan S Huang
- Division of Infectious Diseases and Health Policy Research Institute, University of California Irvine School of Medicine, Irvine, CA
| | - Loren G Miller
- Infectious Disease Clinical Outcomes Research Unit (ID-CORE), Division of Infectious Disease, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA
| | - James A McKinnell
- Infectious Disease Clinical Outcomes Research Unit (ID-CORE), Division of Infectious Disease, Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA
| | - Theresa I Shireman
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI; Center of Innovation-Long-Term Services and Supports, Providence VA Medical Center, Providence, RI
| | - Vincent Mor
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI; Center of Innovation-Long-Term Services and Supports, Providence VA Medical Center, Providence, RI
| | - Stefan Gravenstein
- Department of Health Services, Policy & Practice, Brown University School of Public Health, Providence, RI; Center of Innovation-Long-Term Services and Supports, Providence VA Medical Center, Providence, RI; Department of Medicine, Warren-Alpert School of Medicine, Brown University, Providence, RI
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15
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Bosco E, Zullo AR, McConeghy KW, Moyo P, van Aalst R, Chit A, Mor V, Gravenstein S. Long-term Care Facility Variation in the Incidence of Pneumonia and Influenza. Open Forum Infect Dis 2019; 6:ofz230. [PMID: 31214626 PMCID: PMC6565378 DOI: 10.1093/ofid/ofz230] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 05/14/2019] [Indexed: 02/02/2023] Open
Abstract
Background Pneumonia and influenza (P&I) increase morbidity and mortality among older adults, especially those residing in long-term care facilities (LTCFs). Facility-level characteristics may affect the risk of P&I beyond resident-level risk factors. However, the relationship between facility characteristics and P&I is poorly understood. To address this, we identified potentially modifiable facility-level characteristics that influence the incidence of P&I across LTCFs. Methods We conducted a retrospective cohort study using 2013-2015 Medicare claims linked to Minimum Data Set and LTCF-level data. Short-stay (<100 days) and long-stay (100+ days) LTCF residents were followed for the first occurrence of hospitalization, LTCF discharge, Medicare disenrollment, or death. We calculated LTCF risk-standardized incidence rates (RSIRs) per 100 person-years for P&I hospitalizations by adjusting for over 30 resident-level demographic and clinical covariates using hierarchical logistic regression. Results We included 1 767 241 short-stay (13 683 LTCFs) and 922 863 long-stay residents (14 495 LTCFs). LTCFs with lower RSIRs had more licensed independent practitioners (nurse practitioners or physician assistants) among short-stay (44.9% vs 41.6%, P < .001) and long-stay residents (47.4% vs 37.9%, P < .001), higher registered nurse hours/resident/day among short-stay and long-stay residents (mean [SD], 0.5 [0.7] vs 0.4 [0.4], P < .001), and fewer residents for whom antipsychotics were prescribed among short-stay (21.4% [11.6%] vs 23.6% [13.2%], P < .001) and long-stay residents (22.2% [14.3%] vs 25.5% [15.0%], P < .001). Conclusions LTCF characteristics may play an important role in preventing P&I hospitalizations. Hiring more registered nurses and licensed independent practitioners, increasing staffing hours, and higher-quality care practices may be modifiable means of reducing P&I in LTCFs.
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Affiliation(s)
- Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island.,Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
| | - Kevin W McConeghy
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
| | - Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island
| | - Robertus van Aalst
- Sanofi Pasteur, Swiftwater, Pennsylvania.,Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ayman Chit
- Sanofi Pasteur, Swiftwater, Pennsylvania.,Leslie Dan School of Pharmacy, University of Toronto, Ontario, Canada
| | - Vincent Mor
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
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16
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Pisa FE, Reinold J, Kollhorst B, Haug U, Schink T. Antidepressants and the risk of traumatic brain injury in the elderly: differences between individual agents. Clin Epidemiol 2019; 11:185-196. [PMID: 30858730 PMCID: PMC6386209 DOI: 10.2147/clep.s173667] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Objective To determine the association of individual antidepressants (ADs) with the risk of traumatic brain injury (TBI) in the elderly. Patients and methods We conducted a case-control study nested in a cohort of new users of ADs aged ≥65 years, identified in the German Pharmacoepidemiological Research Database during 2005-2014. Cases were patients first hospitalized for TBI. Up to 100 controls per case were selected using incidence density sampling. AD use was ascertained at the index date based on the supply of last dispensing (adding 150% of the defined daily doses [DDDs]; in sensitivity analysis, no additional DDDs were considered). We estimated adjusted ORs (aORs) and 95% CIs using conditional logistic regression. Results Among 701,309 cohort members, 16,750 cases were identified and matched to 1,673,320 controls (in both groups: 70.4% women; median age 80 years). Compared with remote users of the same AD, current users had an aOR (95% CI) of 1.87 (1.56-2.24) for duloxetine, 1.74 (1.41-2.15) for escitalopram, 1.70 (1.58-1.83) for citalopram, 1.66 (1.40-1.97) for sertraline, 1.64 (1.24-2.15) for fluoxetine and 1.57 (1.20-2.06) for paroxetine. The aOR was lower for amitriptyline (1.45; 1.32-1.58), trimipramine (1.17; 0.99-1.38) and opipramol (1.11; 0.99-1.25). Mirtazapine had an aOR of 1.03 (0.94-1.12). Sensitivity analysis confirmed the findings. Conclusion The large variability between individual ADs shows the importance of considering the safety of individual agents rather than focusing on class alone.
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Affiliation(s)
- Federica Edith Pisa
- Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany, .,Institute of Hygiene and Clinical Epidemiology, University Hospital of Udine, Udine, Italy,
| | - Jonas Reinold
- Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany,
| | - Bianca Kollhorst
- Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Ulrike Haug
- Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany, .,Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany
| | - Tania Schink
- Clinical Epidemiology, Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany,
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17
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Bessis S, Matt M. La grippe. Med Mal Infect 2019; 49 Suppl 1:S17-S24. [DOI: 10.1016/s0399-077x(19)30803-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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18
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Zullo AR, Zhang T, Banerjee G, Lee Y, McConeghy KW, Kiel DP, Daiello LA, Mor V, Berry SD. Facility and State Variation in Hip Fracture in U.S. Nursing Home Residents. J Am Geriatr Soc 2018; 66:539-545. [PMID: 29336024 PMCID: PMC5849498 DOI: 10.1111/jgs.15264] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To quantify the variation in hip fracture incidence across U.S. nursing home (NH) facilities and states and examine how hip fracture incidence varies according to facility- and state-level characteristics. DESIGN Retrospective cohort using linked national Minimum Data Set assessments; Online Survey, Certification and Reporting records; and Medicare claims. SETTING U.S. NHs with 100 or more beds. PARTICIPANTS Long-stay NH residents between May 1, 2007, and April 30, 2008, from 1,481 facilities and 46 U.S. states (N = 201,892). MEASUREMENTS Incident hip fractures were ascertained using Medicare Part A diagnostic codes. Each resident was followed for up to 2 years. RESULTS The mean adjusted incidence rate of hip fractures for all facilities was 3.13 (95% confidence interval (CI) = 3.01-3.26) per 100 person-years (range 1.20, 95% CI = 1.15-1.26 to 6.40, 95% CI = 6.07-6.77). Facilities with the highest rates of hip fracture had greater percentages of residents taking psychoactive medications (top tertile 27.2%, bottom tertile 24.8%), and fewer nursing (top tertile 3.43, bottom tertile 3.53) and direct care (top tertile 3.22, bottom tertile 3.29) hours per day per resident. The combination of state and facility characteristics explained 6.7% of the variation in hip fracture, and resident characteristics explained 7.6%. CONCLUSION Much of the variation in hip fracture incidence remained unexplained, although these findings indicate that potentially modifiable state and facility characteristics such as psychoactive drug prescribing and minimum staffing requirements could be addressed to help reduce the rate of hip fracture in U.S. NHs.
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Affiliation(s)
- Andrew R. Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI
| | - Tingting Zhang
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI
| | - Geetanjoli Banerjee
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI
- Department of Epidemiology, Brown University School of Public Health, Providence, RI
| | - Yoojin Lee
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI
| | - Kevin W. McConeghy
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI
- Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, RI
| | - Douglas P. Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Institute for Aging Research, Hebrew SeniorLife, Boston, MA
| | - Lori A. Daiello
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI
| | - Vincent Mor
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI
| | - Sarah D. Berry
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Institute for Aging Research, Hebrew SeniorLife, Boston, MA
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