Association of Stress Biomarkers With 30‐Day Unplanned Readmission and Death

Aubert, Carole E.; Folly, Antoine; Mancinetti, Marco; Hayoz, Daniel; Donzé, Jacques

doi:10.12788/jhm.2766

Cited by 4 publications

(3 citation statements)

References 36 publications

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“…The underlying causal mechanisms of the effects of loneliness and social isolation on mortality are not yet clear. Research has focused on dysregulation of the hypothalamic-pituitary-adrenal axis as a putative mediator in the association between loneliness and social isolation and higher mortality, since both high cortisol levels (Aubert, Folly, Mancinetti, Hayoz, & Donze, 2016;Hammer et al, 2016;Zurfluh et al, 2018) and low cortisol levels (Maripuu, Wikgren, Karling, Adolfsson, & Norrback, 2016) are associated with higher mortality. In older adults, loneliness has been found to be associated with a higher cortisol awakening response (Adam, Hawkley, & Kudielka, 2006;Steptoe, Owen, Kunz-Ebrecht, & Brydon, 2004) but also with diminished cortisol output (Schutter et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Loneliness, social network size, and mortality in older adults and the role of cortisol

Schutter

Holwerda

Comijs

et al. 2020

Aging & Mental Health

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Background: Loneliness and social isolation have both been found to be associated with increased mortality in previous studies. One potential underlying mechanism is via the hypothalamic-pituitary-adrenal axis.Objective: This study aimed to examine the association between social network size and cortisol, to analyze the associations between both loneliness and social network size and mortality, and to examine to what extent the association between network size and/or loneliness and mortality is mediated by cortisol. Design: The study group consisted of 443 depressed and non-depressed participants of the Netherlands Study of Depression in the Elderly (NESDO). Cross-sectional analysis of the association between social network size and cortisol measures was followed by a survival analysis of the associations between both social network size and loneliness and mortality. Results: There were no significant associations between social network size and cortisol measures. Loneliness and small social network size were not associated with mortality. Age and partner status were more important predictors of mortality. Conclusion: As people grow older the variety of factors that influence mortality risk increases, diminishing the effect of a single factor. Prevention of early morbidity and mortality in older adults should be tailored to specific needs and risks, instead of aiming at one specific factor.

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Section: Introductionmentioning

confidence: 99%

Loneliness, social network size, and mortality in older adults and the role of cortisol

Schutter

Holwerda

Comijs

et al. 2020

Aging & Mental Health

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“…54,55 Furthermore, chronic use of corticosteroids predisposes patients to endocrine pathologies such as Cushing's syndrome, which have been shown to negatively affect the wound healing process by inhibiting proliferation of fibroblasts and leading to increased rates of infection given decreased lymphocyte counts and chronically elevated cortisol levels. 56 Given the agreement across multiple studies of the significance of preoperative corticosteroid use as a predictive risk factor for post-THA readmission, surgical teams should coordinate with the primary care team to taper corticosteroid use preoperatively.…”

Section: Significant Risk Factorsmentioning

confidence: 99%

Predictive models for identifying risk of readmission after index hospitalization for hip arthroplasty: A systematic review

Mahajan

Nguyen

et al. 2020

Journal of Orthopaedics

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“…First, the HOSPITAL score was developed to predict unplanned readmissions, which, in turn, have been associated with mortality at 30 days [ 25 ] and one year [ 26 ]. Second, many items in the score have been recognized as being linked to “post-hospitalization stress” [ 15 , 27 ]. Third, early readmission and post-discharge mortality are probably dependent on similar socioeconomic factors, e.g., financial incentives for hospitals intended to decrease readmission rates might result in increased mortality rates or organizational structures in hospitals such as resident’s workloads influence patient outcomes [ 2 , 3 , 28 , 29 ].…”

Section: Discussionmentioning

confidence: 99%

Factors associated with one-year mortality after hospital discharge: A multicenter prospective cohort study

Liechti,

Bütikofer,

Mancinetti

et al. 2023

PLoS ONE

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Objectives 1) To identify predictors of one-year mortality in hospitalized medical patients using factors available during their hospital stay. 2) To evaluate whether healthcare system use within 30 days of hospital discharge is associated with one-year mortality. Study design and setting This prospective, observational study included adult patients from four mid-sized hospital general internal medicine units. During index hospitalization, we retrieved patient characteristics, including demographic and socioeconomic indicators, diagnoses, and early simplified HOSPITAL scores from electronic health records and patient interviews. Data on healthcare system use was collected using telephone interviews 30 days after discharge. Survival status at one year was collected by telephone and from health records. We used a univariable analysis including variables available from the hospitalization and 30-day post-discharge periods. We then performed multivariable analyses with one model using index hospitalization data and one using 30-day post-discharge data. Results Of 934 patients, 123 (13.2%; 95% CI 11.0–15.4%) were readmitted or died within 30 days. Of 814 patients whose primary outcome was available, 108 died (13.3%) within one year. Using factors obtained during hospitalization, the early simplified HOSPITAL score (OR 1.50; 95% CI 1.31–1.71; P < 0.001) and not living at home (OR 4.0; 95% CI 1.8–8.3; P < 0.001) were predictors of one-year mortality. Using 30-day post-discharge predictors, hospital readmission was significantly associated with one-year mortality (OR 4.81; 95% CI 2.77–8.33; P < 0.001). Significance Factors predicting one-year mortality were a high early simplified HOSPITAL score, not living at home, and a 30-day unplanned readmission.

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Association of Stress Biomarkers With 30‐Day Unplanned Readmission and Death

Cited by 4 publications

References 36 publications

Loneliness, social network size, and mortality in older adults and the role of cortisol

Loneliness, social network size, and mortality in older adults and the role of cortisol

Predictive models for identifying risk of readmission after index hospitalization for hip arthroplasty: A systematic review

Factors associated with one-year mortality after hospital discharge: A multicenter prospective cohort study

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