scholarly journals Frailty Hinders Recovery From Influenza and Acute Respiratory Illness in Older Adults

2020 ◽  
Vol 222 (3) ◽  
pp. 428-437 ◽  
Author(s):  
Caitlin Lees ◽  
Judith Godin ◽  
Janet E McElhaney ◽  
Shelly A McNeil ◽  
Mark Loeb ◽  
...  

Abstract Background We examined frailty as a predictor of recovery in older adults hospitalized with influenza and acute respiratory illness. Methods A total of 5011 patients aged ≥65 years were admitted to Canadian Serious Outcomes Surveillance Network hospitals during the 2011/2012, 2012/2013, and 2013/2014 influenza seasons. Frailty was measured using a previously validated frailty index (FI). Poor recovery was defined as death by 30 days postdischarge or an increase of more than 0.06 (≥2 persistent new health deficits) on the FI. Multivariable logistic regression controlled for age, sex, season, influenza diagnosis, and influenza vaccination status. Results Mean age was 79.4 (standard deviation = 8.4) years; 53.1% were women. At baseline, 15.0% (n = 750) were nonfrail, 39.3% (n = 1971) were prefrail, 39.8% (n = 1995) were frail, and 5.9% (n = 295) were most frail. Poor recovery was experienced by 21.4%, 52.0% of whom had died. Frailty was associated with lower odds of recovery in all 3 seasons: 2011/2012 (odds ratio [OR] = 0.70; 95% confidence interval [CI], 0.59–0.84), 2012/2013 (OR = 0.72; 95% CI, 0.66–0.79), and 2013/2014 (OR = 0.75; 95% CI, 0.69–0.82); results varied by season, influenza status, vaccination status, and age. Conclusions Increasing frailty is associated with lower odds of recovery, and persistent worsening frailty is an important adverse outcome of acute illness.

2020 ◽  
Vol 75 (10) ◽  
pp. 1928-1934 ◽  
Author(s):  
Olga Theou ◽  
Alexandra M van der Valk ◽  
Judith Godin ◽  
Melissa K Andrew ◽  
Janet E McElhaney ◽  
...  

Abstract Background Clinically meaningful change (CMC) for frailty index (FI) scores is little studied. We estimated the CMC by associating changes in FI scores with changes in the Clinical Frailty Scale (CFS) in hospitalized patients. Methods The Serious Outcomes Surveillance Network of the Canadian Immunization Research Network enrolled older adults (65+ years) admitted to hospital with acute respiratory illness (mean age = 79.6 ± 8.4 years; 52.7% female). Patients were assigned CFS and 39-item FI scores in-person at admission and via telephone at 1-month postdischarge. Baseline frailty state was assessed at admission using health status 2 weeks before admission. We classified those whose CFS scores remained unchanged (n = 1,534) or increased (n = 4,390) from baseline to hospital admission, and whose CFS scores remained unchanged (n = 1,565) or decreased (n = 2,546) from admission to postdischarge. For each group, the CMC was represented as the FI score change value that best predicted one level CFS change, having the largest Youden J value in comparison to no change. Results From baseline to admission, 74.1% increased CFS by ≥1 level. From admission to postdischarge, 61.9% decreased CFS by ≥1 levels. A change in FI score of 0.03 best predicted both one-level CFS increase (sensitivity = 70%; specificity = 69%) and decrease (sensitivity = 66%; specificity = 61%) in comparison to no change. Of those who changed CFS by ≥1 levels, 70.9% (baseline to admission) and 72.4% (admission to postdischarge) changed their FI score by at least 0.03. Conclusions A clinically meaningful change of 0.03 in the frailty index score holds promise as a benchmark for assessing the meaningfulness of frailty interventions.


2020 ◽  
Vol 41 (5) ◽  
pp. 499-504 ◽  
Author(s):  
Melissa K. Andrew ◽  
Janet E. McElhaney ◽  
Allison A. McGeer ◽  
Todd F. Hatchette ◽  
Jason Leblanc ◽  
...  

AbstractObjective:Older adults often have atypical presentation of illness and are particularly vulnerable to influenza and its sequelae, making the validity of influenza case definitions particularly relevant. We sought to assess the performance of influenza-like illness (ILI) and severe acute respiratory illness (SARI) criteria in hospitalized older adults.Design:Prospective cohort study.Setting:The Serious Outcomes Surveillance Network of the Canadian Immunization Research Network undertakes active surveillance for influenza among hospitalized adults.Methods:Data were pooled from 3 influenza seasons: 2011/12, 2012/13, and 2013/14. The ILI and SARI criteria were defined clinically, and influenza was laboratory confirmed. Frailty was measured using a validated frailty index.Results:Of 11,379 adult inpatients (7,254 aged ≥65 years), 4,942 (2,948 aged ≥65 years) had laboratory-confirmed influenza. Their median age was 72 years (interquartile range [IQR], 58–82) and 52.6% were women. The sensitivity of ILI criteria was 51.1% (95% confidence interval [CI], 49.6–52.6) for younger adults versus 44.6% (95% CI, 43.6–45.8) for older adults. SARI criteria were met by 64.1% (95% CI, 62.7–65.6) of younger adults versus 57.1% (95% CI, 55.9–58.2) of older adults with laboratory-confirmed influenza. Patients with influenza who were prefrail or frail were less likely to meet ILI and SARI case definitions.Conclusions:A substantial proportion of older adults, particularly those who are frail, are missed by standard ILI and SARI case definitions. Surveillance using these case definitions is biased toward identifying younger cases, and does not capture the true burden of influenza. Because of the substantial fraction of cases missed, surveillance definitions should not be used to guide diagnosis and clinical management of influenza.


2019 ◽  
Vol 68 (12) ◽  
pp. 277-280 ◽  
Author(s):  
Stephanie A. Kujawski ◽  
Claire M. Midgley ◽  
Brian Rha ◽  
Joana Y. Lively ◽  
W. Allan Nix ◽  
...  

2021 ◽  
Vol 70 (47) ◽  
pp. 1623-1628
Author(s):  
Melisa M. Shah ◽  
Ariana Perez ◽  
Joana Y. Lively ◽  
Vasanthi Avadhanula ◽  
Julie A. Boom ◽  
...  

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S259-S259
Author(s):  
Angela P Campbell ◽  
Brian Rha ◽  
Constance Ogokeh ◽  
Janet Englund ◽  
Natasha B Halasa ◽  
...  

Abstract Background We investigated clinical influenza testing and treatment in children hospitalized with acute respiratory illness (ARI) who had distinct respiratory syndromes. Methods Children <18 years old with ARI were enrolled at seven hospitals in the New Vaccine Surveillance Network (NVSN) between November 1, 2015–June 30, 2016. ICD10 admission diagnosis codes were grouped to define syndromes of bronchiolitis, asthma, pneumonia, and croup. At clinician discretion, influenza testing with a rapid influenza diagnostic test or molecular assay was performed on respiratory samples. As part of the study, each site performed influenza testing using molecular assays on mid-turbinate nasal and throat swabs from all enrolled children. Analysis was restricted to influenza season; children who received antivirals before hospitalization were excluded. Results Among 2,134 children with available ICD10 codes, on preliminary analysis 1,119 (52%) had influenza testing ordered by a clinician: 111 (10%) were positive, and 57 (51%) of 111 received antiviral treatment. Of the 2,134, 858 (40%) had one of the four mutually exclusive syndromes (table). Hospital clinical testing per clinician discretion was influenza positive in 16 of the 858 children (percent positivity per syndrome ranged from <1% to 38%; table). Research study testing of children not undergoing clinical influenza testing identified 11 additional positives. Antiviral treatment was highest for pneumonia patients. Conclusion Understanding testing and treatment practices by clinical syndrome may help to identify missed opportunities for influenza diagnosis and treatment. Table: Disclosures J. Englund, Gilead: Consultant and Investigator, Consulting fee and Research support. Novavax: Investigator, Research support. GlaxoSmithKline: Investigator, Research support. Alios: Investigator, Research support. MedImmune: Investigator, Research support. N. B. Halasa, sanofi pasteur: Investigator, Research support. GSK: Consultant, Consulting fee. Moderna: Consultant, Consulting fee.


2009 ◽  
Vol 199 (6) ◽  
pp. 847-857 ◽  
Author(s):  
Geoffrey J. Gorse ◽  
Theresa Z. O’Connor ◽  
Susan L. Hall ◽  
Joseph N. Vitale ◽  
Kristin L. Nichol

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