scholarly journals Adaptive metabolic and inflammatory responses identified using accelerated aging metrics are linked to adverse outcomes in severe SARS-CoV-2 infection

Author(s):  
Alejandro Márquez-Salinas ◽  
Carlos A Fermín-Martínez ◽  
Neftalí Eduardo Antonio-Villa ◽  
Arsenio Vargas-Vázquez ◽  
Enrique C. Guerra ◽  
...  

Abstract Background Chronological age (CA) is a predictor of adverse COVID-19 outcomes; however, CA alone does not capture individual responses to SARS-CoV-2 infection. Here, we evaluated the influence of aging metrics PhenoAge and PhenoAgeAccel to predict adverse COVID-19 outcomes. Furthermore, we sought to model adaptive metabolic and inflammatory responses to severe SARS-CoV-2 infection using individual PhenoAge components. Methods In this retrospective cohort study, we assessed cases admitted to a COVID-19 reference center in Mexico City. PhenoAge and PhenoAgeAccel were estimated using laboratory values at admission. Cox proportional hazards models were fitted to estimate risk for COVID-19 lethality and adverse outcomes (ICU admission, intubation, or death). To explore reproducible patterns which model adaptive responses to SARS-CoV-2 infection, we used k-means clustering using PhenoAge components. Results We included 1068 subjects of whom 222 presented critical illness and 218 died. PhenoAge was a better predictor of adverse outcomes and lethality compared to CA and SpO2 and its predictive capacity was sustained for all age groups. Patients with responses associated to PhenoAgeAccel>0 had higher risk of death and critical illness compared to those with lower values (log-rank p<0.001). Using unsupervised clustering we identified four adaptive responses to SARS-CoV-2 infection: 1) Inflammaging associated with CA, 2) metabolic dysfunction associated with cardio-metabolic comorbidities, 3) unfavorable hematological response, and 4) response associated with favorable outcomes. Conclusions Adaptive responses related to accelerated aging metrics are linked to adverse COVID-19 outcomes and have unique and distinguishable features. PhenoAge is a better predictor of adverse outcomes compared to CA.

2020 ◽  
Author(s):  
Alejandro Márquez-Salinas ◽  
Carlos A. Fermín-Martínez ◽  
Neftalí Eduardo Antonio-Villa ◽  
Arsenio Vargas-Vázquez ◽  
Enrique C. Guerra ◽  
...  

ABSTRACTINTRODUCTIONChronological age (CA) is a predictor of adverse COVID-19 outcomes; however, CA alone does not capture individual responses to SARS-CoV-2 infection. Here, we evaluated the influence of aging metrics PhenoAge and PhenoAgeAccel to predict adverse COVID-19 outcomes. Furthermore, we sought to model adaptive metabolic and inflammatory responses to severe SARS-CoV-2 infection using individual PhenoAge components.METHODSIn this retrospective cohort study, we assessed cases admitted to a COVID-19 reference center in Mexico City. PhenoAge and PhenoAgeAccel were estimated using laboratory values at admission. Cox proportional hazards models were fitted to estimate risk for COVID-19 lethality and adverse outcomes (ICU admission, intubation, or death). To explore reproducible patterns which model adaptive responses to SARS-CoV-2 infection, we used k-means clustering using PhenoAge/PhenoAccelAge components.RESULTSWe included 1068 subjects of whom 401 presented critical illness and 204 died. PhenoAge was a better predictor of adverse outcomes and lethality compared to CA and SpO2 and its predictive capacity was sustained for all age groups. Patients with responses associated to PhenoAgeAccel>0 had higher risk of death and critical illness compared to those with lower values (log-rank p<0.001). Using unsupervised clustering we identified four adaptive responses to SARS-CoV-2 infection: 1) Inflammaging associated with CA, 2) metabolic dysfunction associated with cardio-metabolic comorbidities, 3) unfavorable hematological response, and 4) response associated with favorable outcomes.CONCLUSIONSAdaptive responses related to accelerated aging metrics are linked to adverse COVID-19 outcomes and have unique and distinguishable features. PhenoAge is a better predictor of adverse outcomes compared to CA.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10045-10045
Author(s):  
AnnaLynn M. Williams ◽  
Jeanne S. Mandelblatt ◽  
Mingjuan Wang ◽  
Kirsten K. Ness ◽  
Gregory T. Armstrong ◽  
...  

10045 Background: Survivors of childhood cancer have functional limitations and health-related morbidity consistent with an accelerated aging phenotype. We characterized aging using a Deficit Accumulation Index (DAI) which examines the accumulation of multiple aging-related deficits readily available from medical records and self-report. DAI’s are used as surrogates of biologic aging and are validated to predict mortality in adult cancer patients. Methods: We included childhood cancer survivors (N = 3,758, mean age 30 [SD 8], 22 [9] years post diagnosis, 52% male) and community controls (N = 575, mean age 34 [10] 44% male) who completed clinical assessments and questionnaires and who were followed for mortality through December 31st, 2018 (mean follow-up 6.1 [3.1] years). Using the initial SJLIFE clinical assessment, a DAI score was generated as the proportion of deficits out of 44 items related to aging, including chronic conditions (e.g. hearing loss, hypertension), psychosocial and physical function, and activities of daily living. The total score ranged 0 to 1; scores > 0.20 are robust, while moderate and large clinically meaningful differences are 0.02 and 0.06, respectively. Linear regression compared the DAI in survivors and controls with an age*survivor/control interaction and examined treatment associations in survivors. Cox-proportional hazards models estimated risk of death associated with DAI. All models were adjusted for age, sex, and race. Results: Mean [SD] of DAI was 0.17 [0.11] for survivors and 0.10 [0.08] for controls. 32% of survivors had a DAI above the 90th percentile of the control distribution (p < 0.001). After adjustment for covariates, survivors had a statistically and clinically meaningfully higher DAI score than controls (β = 0.072 95%CI 0.062, 0.081; p < 0.001). When plotted against age, the adjusted DAI at the average age of survivors (30 years) was 0.166 (95% CI 0.160,0.171), which corresponded to 60 years of age in controls, suggesting premature aging of 30 years. The mean difference in DAI between survivors and controls increased with age from 0.06 (95% CI 0.04, 0.07) at age 20 to 0.11 (95% CI 0.08, 0.13) at age 60, consistent with an accelerated aging phenotype (p = 0.014). Cranial radiation, abdominal radiation, cyclophosphamide, platinum agents, neurosurgery, and amputation were each associated with a higher DAI (all p≤0.001). Among survivors, a 0.06 increase in DAI was associated with a 41% increased risk of all-cause mortality (HR 1.41 95%CI 1.32, 1.50; p < 0.001). Conclusions: Survivors of childhood cancer experience significant age acceleration that is associated with an increased risk of mortality; longitudinal analyses are underway to validate these findings. Given the ease of estimating a DAI, this may be a feasible method to quickly identify survivors for novel and tailored interventions that can improve health and prevent premature mortality.


2020 ◽  
Vol 9 (3) ◽  
pp. CRC32
Author(s):  
Kristin Wallace ◽  
Hong Li ◽  
Chrystal M Paulos ◽  
David N Lewin ◽  
Alexander V Alekseyenko

Background: Survival is reduced in African–Americans (AAs) diagnosed with colorectal cancer (CRC), especially in those <50 years old, when compared with Caucasian Americans (CAs). Yet, the role of clinicopathologic features of CRCs on racial differences in survival needs further study. Materials & methods: Over 1000 individuals (CA 709, AA 320) diagnosed with CRC were studied for survival via the Cox proportional hazards regression analysis based on race and risk of death in two age groups (<50 or 50+). Results: Risk of death for younger AAs (<50) was elevated compared with younger CAs (hazard ratio [HR] 1.98 [1.26–3.09]). Yet no racial differences in survival was observed in older cohort (50+ years), HR 1.07 (0.88–1.31); p for interaction = 0.01. In younger AAs versus CAs only, colonic location attenuated the risk of death. Conclusion: The tumor location and histology influence the poorer survival observed in younger AAs suggesting these may also influence treatment responses.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zaeema Naveed ◽  
Howard S. Fox ◽  
Christopher S. Wichman ◽  
Morshed Alam ◽  
Pamela May ◽  
...  

AbstractHIV-related neurocognitive impairment (NCI) may increase the risk of death. However, a survival disadvantage for patients with NCI has not been well studied in the post-combination antiretroviral therapy (cART) era. Specifically, limited research has been conducted considering the reversible nature and variable progression of the impairment and this area demands further evaluation. We performed multivariable Cox proportional hazards modeling to assess the association between baseline NCI (global T scores) and mortality. A joint modeling approach was then used to model the trajectory of global neurocognitive functioning over time and the association between neurocognitive trajectory and mortality. Among the National NeuroAIDS Tissue Consortium’s (NNTC) HIV-infected participants, we found a strong negative association between NCI and mortality in the older age groups (e.g., at age = 55, HR = 0.79; 95% CI 0.64–0.99). Three neurocognitive sub-domains (abstraction and executive functioning, speed of information processing, and motor) had the strongest negative association with mortality. Joint modelling indicated a 33% lower hazard for every 10-unit increase in global T scores (HR = 0.67; 95% CI 0.56–0.80). The study identified older HIV-infected individuals with NCI as a group needing special attention for the longevity of life. The study has considerable prognostic utility by not only predicting mortality hazard, but also future cognitive status.


2016 ◽  
Vol 3 (4) ◽  
Author(s):  
Trine A. Knudsen ◽  
Robert Skov ◽  
Andreas Petersen ◽  
Anders R. Larsen ◽  
Thomas Benfield ◽  
...  

Abstract Background Panton-Valentine leucocidin is a Staphylococcus aureus virulence factor encoded by lukF-PV and lukS-PV that is infrequent in S aureus bacteremia (SAB), and, therefore, little is known about risk factors and outcome of lukF-PV/lukS-PV-positive SAB. Methods This report is a register-based nationwide observational cohort study. lukF-PV was detected by polymerase chain reaction. Factors associated with the presence of lukF-PV were assessed by logistic regression analysis. Adjusted 30-day hazard ratios of mortality associated with lukF-PV status were computed by Cox proportional hazards regression analysis. Results Of 9490 SAB cases, 129 were lukF-PV-positive (1.4%), representing 14 different clonal complexes. lukF-PV was associated with younger age, absence of comorbidity, and methicillin-resistant S aureus. In unadjusted analysis, mortality associated with lukF-PV-positive SAB was comparable to SAB. However, lukF-PV-positive SAB nonsurvivors were significantly older and had more comorbidity. Consequently, by adjusted analysis, the risk of 30-day mortality was increased by 70% for lukF-PV-positive SAB compared with SAB (hazard ratio, 1.70; 95% confidence interval, 1.20–2.42; P = .003). Conclusions lukF-PV-positive SAB is rare in Denmark but associated with a significantly increased risk of mortality. Although the risk of lukF-PV-positive SAB was highest in the younger age groups, &gt;80% of deaths associated with lukF-PV-positive SAB occurred in individuals older than 55 years.


2013 ◽  
Vol 31 (36) ◽  
pp. 4496-4503 ◽  
Author(s):  
Kirsten K. Ness ◽  
Kevin R. Krull ◽  
Kendra E. Jones ◽  
Daniel A. Mulrooney ◽  
Gregory T. Armstrong ◽  
...  

Purpose Frailty, a phenotype reported among 9.9% of individuals 65 years old and older (9.6% of women; 5.2% of men), has not been assessed among adult childhood cancer survivors (CCS). We estimated the prevalence of frailty and examined associations with morbidity and mortality. Methods Participants included 1,922 CCS at least 10 years from original cancer diagnosis (men, 50.3%; mean age, 33.6 ± 8.1 years) and a comparison population of 341 participants without cancer histories. Prefrailty and frailty were defined as two and ≥ three of the following conditions: low muscle mass, self-reported exhaustion, low energy expenditure, slow walking speed, and weakness. Morbidity was defined as grade 3 to 4 chronic conditions (Common Terminology Criteria for Adverse Events version 4.0). Fisher's exact tests were used to compare, by frailty status, percentages of those with morbidity. In a subset of 162 CCS who returned for a second visit, Poisson regression was used to evaluate associations between frailty and new onset morbidity. Cox proportional hazards regression was used to evaluate associations between frailty and death. Results The prevalence of prefrailty and frailty were 31.5% and 13.1% among women and 12.9% and 2.7% among men, respectively, with prevalence increasing with age. Frail CCS were more likely than nonfrail survivors to have a chronic condition (82.1% v 73.8%). In models adjusted for existing chronic conditions, baseline frailty was associated with risk of death (hazard ratio, 2.6; 95% CI, 1.2 to 6.2) and chronic condition onset (relative risk, 2.2; 95% CI, 1.2 to 4.2). Conclusion The prevalence of frailty among young adult CCS is similar to that among adults 65 years old and older, suggesting accelerated aging.


Author(s):  
Sheila M McNallan ◽  
Shannon M Dunlay ◽  
Mandeep Singh ◽  
Alanna M Chamberlain ◽  
Margaret M Redfield ◽  
...  

Objective: To determine among community heart failure (HF) patients whether frailty is associated with an increased risk of hospitalization, emergency department (ED) visits and death, independently of comorbidities. Background: Frailty is associated with adverse outcomes in some populations; however the prognostic value of frailty among HF patients is not fully documented, particularly for healthcare utilization. Methods: Olmsted, Dodge and Fillmore County residents with HF between 10/2007 and 12/2010 were prospectively recruited to undergo frailty assessment. Frailty was defined as 3 or more of the following: unintentional weight loss >10 lbs. in 1 year, physical exhaustion, weak grip strength, and slowness and low activity measured by the SF-12 physical component score. Intermediate frailty was defined as having 1-2 components. To account for repeated events, Anderson-Gill modeling was used to determine if frailty predicted hospitalization or ED visits. Cox proportional hazards regression examined associations between frailty and death. Results: Among 409 patients (mean age 73±13, 58% male), 19% were frail and 55% had intermediate frailty. Within one year, 449 hospitalizations, 523 ED visits and 34 deaths occurred. There was a positive graded association between frailty and hospitalization and ED visits (Table). After adjustment for age, sex, ejection fraction and comorbidity, frailty was associated with an 80% increased risk of hospitalization and a 60% increased risk of ED visits. Frailty was also associated with more than a 2-fold increased risk of death after adjustment. Conclusion: In the community, frailty is prevalent and is a strong and independent predictor of hospitalizations, ED visits and death among HF patients. As it is independent from coexisting comorbidities, frailty defines new avenues for intervention and should be formally assessed clinically. Hazard Ratios (95% CI) for Hospitalizations, Emergency Department Visits and Death by Frailty Status Not Frail Intermediate Frail Frail P for trend Hospitalization Crude 1.00 1.46 (1.05-2.02) 2.15 (1.45-3.19) <0.001 Fully-adjusted 1.00 1.29 (0.94-1.77) 1.82 (1.22-2.73) 0.005 Emergency Department Visits Crude 1.00 1.59 (1.14-2.21) 1.88 (1.22-2.90) 0.002 Fully-adjusted 1.00 1.46 (1.05-2.05) 1.58 (1.01-2.48) 0.034 Death Crude 1.00 1.40 (0.73-2.69) 3.98 (2.01-7.90) <0.001 Fully-adjusted 1.00 0.87 (0.44-1.73) 2.42 (1.19-4.95) 0.003


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 161-161
Author(s):  
Jane Banaszak-Holl ◽  
Xiaoping Lin ◽  
Jing Xie ◽  
Stephanie Ward ◽  
Henry Brodaty ◽  
...  

Abstract Research Aims: This study seeks to understand whether those with dementia experience higher risk of death, using data from the ASPREE (ASPirin in Reducing Events in the Elderly) clinical trial study. Methods: ASPREE was a primary intervention trial of low-dose aspirin among healthy older people. The Australian cohort included 16,703 dementia-free participants aged 70 years and over at enrolment. Participants were triggered for dementia adjudication if cognitive test results were poorer than expected, self-reporting dementia diagnosis or memory problems, or dementia medications were detected. Incidental dementia was adjudicated by an international adjudication committee using the Diagnostic and Statistical Manual for Mental Disorders (DSM-IV) criteria and results of a neuropsychological battery and functional measures with medical record substantiation. Statistical analyses used a cox proportional hazards model. Results: As previously reported, 1052 participants (5.5%) died during a median of 4.7 years of follow-up and 964 participants had a dementia trigger, of whom, 575 (60%) were adjucated as having dementia. Preliminary analyses has shown that the mortality rate was higher among participants with a dementia trigger, regardless of dementia adjudication outcome, than those without (15% vs 5%, Χ2 = 205, p &lt;.001). Conclusion: This study will provide important analyses of differences in the hazard ratio for mortality and causes of death among people with and without cognitive impairment and has important implications on service planning.


Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Billie Jean Martin ◽  
Dimitri Kalavrouziotis ◽  
Roger Baskett

Introduction While there are rigourous assessments made of trainees’ knowledge through formal examinations, objective assessments of technical skills are not available. Little is known about the safety of allowing resident trainees to perform cardiac surgical operations. Methods Peri-operative date was prospectively collected on all patients who underwent coronary artery bypass grafting (CABG), aortic valve replacement (AVR) or a combined procedure between 1998 and 2005. Teaching-cases were identified by resident records and defined as cases which the resident performed skin to skin. Pre-operative characteristics were compared between teaching and non-teaching cases. Short-term adverse events were defined as a composite of: in-hospital mortality, stroke, intra- or post-operative intra-aortic balloon pump (IABP) insertion, myocardial infarction, renal failure, wound infection, sepsis or return to the operating room. Intermediate adverse outcomes were defined as hospital readmission for any cardiac disease or late mortality. Logistic regression and Cox proportional hazard models were used to adjust for differences in age, acuity, and medical co-morbidities. Outcomes were compared between teaching and non-teaching cases. Results 6929 cases were included, 895 of which were identified as teaching-cases. Teaching-cases were more likely to have an EF<40%, pre-operative IABP, CHF, combined CABG/AVRs or total arterial grafting cases (all p<0.01). However, a case being a teaching-case was not a predictor of in-hospital mortality (OR=1.02, 95%CI 0.67–1.55) or the composite short-term outcome (OR=0.97, 95%CI 0.75–1.24). The Kaplan-Meier event-free survival of staff and teaching-cases was equivalent at 1, 3, and 5 years: 80% vs. 78%, 67% vs. 66%, and 58% vs. 55% (log-rank p=0.06). Cox proportional hazards regression modeling did not demonstrate teaching-case to be a predictor of late death or re-hospitalization (HR=1.05, 95%CI 0.94 –1.18). Conclusions Teaching-cases were more likely to have greater acuity and complexity than non-teaching cases. Despite this, teaching cases did no worse than staff cases in the short or intermediate term. Allowing residents to perform cardiac surgery does not appear to adversely affect patient outcomes.


2016 ◽  
Vol 38 (3) ◽  
pp. 327-333 ◽  
Author(s):  
Noelle M. Cocoros ◽  
Gregory P. Priebe ◽  
Latania K. Logan ◽  
Susan Coffin ◽  
Gitte Larsen ◽  
...  

OBJECTIVEAdult ventilator-associated event (VAE) definitions include ventilator-associated conditions (VAC) and subcategories for infection-related ventilator-associated complications (IVAC) and possible ventilator-associated pneumonia (PVAP). We explored these definitions for children.DESIGNRetrospective cohortSETTINGPediatric, cardiac, or neonatal intensive care units (ICUs) in 6 US hospitalsPATIENTSPatients ≤18 years old ventilated for ≥1 dayMETHODSWe identified patients with pediatric VAC based on previously proposed criteria. We applied adult temperature, white blood cell count, antibiotic, and culture criteria for IVAC and PVAP to these patients. We matched pediatric VAC patients with controls and evaluated associations with adverse outcomes using Cox proportional hazards models.RESULTSIn total, 233 pediatric VACs (12,167 ventilation episodes) were identified. In the cardiac ICU (CICU), 62.5% of VACs met adult IVAC criteria; in the pediatric ICU (PICU), 54.2% of VACs met adult IVAC criteria; and in the neonatal ICU (NICU), 20.2% of VACs met adult IVAC criteria. Most patients had abnormal white blood cell counts and temperatures; we therefore recommend simplifying surveillance by focusing on “pediatric VAC with antimicrobial use” (pediatric AVAC). Pediatric AVAC with a positive respiratory diagnostic test (“pediatric PVAP”) occurred in 8.9% of VACs in the CICU, 13.3% of VACs in the PICU, and 4.3% of VACs in the NICU. Hospital mortality was increased, and hospital and ICU length of stay and duration of ventilation were prolonged among all pediatric VAE subsets compared with controls.CONCLUSIONSWe propose pediatric AVAC for surveillance related to antimicrobial use, with pediatric PVAP as a subset of AVAC. Studies on generalizability and responsiveness of these metrics to quality improvement initiatives are needed, as are studies to determine whether lower pediatric VAE rates are associated with improvements in other outcomes.Infect Control Hosp Epidemiol 2017;38:327–333


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