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      Frailty is a predictor for worse outcomes in patients hospitalized with Clostridioides difficile infection

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          Abstract

          Background

          Frailty has major health implications for affected patients and is widely used in the perioperative risk assessment. The Hospital Frailty Risk Score (HFRS) is a validated score that utilizes administrative billing data to identify patients at higher risk because of frailty. We investigated the utility of the HFRS in patients with Clostridioides difficile infection (CDI) to determine whether they were at risk for worse outcomes and higher healthcare resource utilization.

          Methods

          Using the 2017 National Inpatient Sample, we identified all adults with a primary diagnosis of CDI. We classified patients into 2 groups: those who had an HFRS <5 (NonFrailCDI) and those with a score ≥5 (FrailCDI). We assessed differences in hospital outcomes and healthcare resource utilization based on frailty status.

          Results

          We identified 93,810 hospitalizations, of which 54,300 (57.88%) were FrailCDI. FrailCDI patients were at higher risk for fulminant CDI (odds ratio [OR] 1.9, 95% confidence interval [CI] 1.6-2.3), requiring colectomy (OR 4.1, 95%CI 1.5-11.2), and inpatient mortality (OR 4.5, 95%CI 2.8-7.1). Furthermore, FrailCDI patients had higher odds of requiring Intensive Care Unit admission (OR 13.7, 95%CI 6.3-29.9) or transfer to another facility on discharge (OR 2.2, 95%CI 2.0-2.4), and had longer hospital stays and higher total charges when compared with NonFrailCDI.

          Conclusions

          Frailty as defined by the HFRS is an independent factor for worse outcomes and higher healthcare utilization in adults admitted for CDI. Risk stratifying patients by frailty may improve outcomes.

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          Most cited references21

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          Frailty in elderly people

          Frailty is the most problematic expression of population ageing. It is a state of vulnerability to poor resolution of homoeostasis after a stressor event and is a consequence of cumulative decline in many physiological systems during a lifetime. This cumulative decline depletes homoeostatic reserves until minor stressor events trigger disproportionate changes in health status. In landmark studies, investigators have developed valid models of frailty and these models have allowed epidemiological investigations that show the association between frailty and adverse health outcomes. We need to develop more efficient methods to detect frailty and measure its severity in routine clinical practice, especially methods that are useful for primary care. Such progress would greatly inform the appropriate selection of elderly people for invasive procedures or drug treatments and would be the basis for a shift in the care of frail elderly people towards more appropriate goal-directed care. Copyright © 2013 Elsevier Ltd. All rights reserved.
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            Development and validation of a Hospital Frailty Risk Score focusing on older people in acute care settings using electronic hospital records: an observational study

            Summary Background Older people are increasing users of health care globally. We aimed to establish whether older people with characteristics of frailty and who are at risk of adverse health-care outcomes could be identified using routinely collected data. Methods A three-step approach was used to develop and validate a Hospital Frailty Risk Score from International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnostic codes. First, we carried out a cluster analysis to identify a group of older people (≥75 years) admitted to hospital who had high resource use and diagnoses associated with frailty. Second, we created a Hospital Frailty Risk Score based on ICD-10 codes that characterised this group. Third, in separate cohorts, we tested how well the score predicted adverse outcomes and whether it identified similar groups as other frailty tools. Findings In the development cohort (n=22 139), older people with frailty diagnoses formed a distinct group and had higher non-elective hospital use (33·6 bed-days over 2 years compared with 23·0 bed-days for the group with the next highest number of bed-days). In the national validation cohort (n=1 013 590), compared with the 429 762 (42·4%) patients with the lowest risk scores, the 202 718 (20·0%) patients with the highest Hospital Frailty Risk Scores had increased odds of 30-day mortality (odds ratio 1·71, 95% CI 1·68–1·75), long hospital stay (6·03, 5·92–6·10), and 30-day readmission (1·48, 1·46–1·50). The c statistics (ie, model discrimination) between individuals for these three outcomes were 0·60, 0·68, and 0·56, respectively. The Hospital Frailty Risk Score showed fair overlap with dichotomised Fried and Rockwood scales (kappa scores 0·22, 95% CI 0·15–0·30 and 0·30, 0·22–0·38, respectively) and moderate agreement with the Rockwood Frailty Index (Pearson's correlation coefficient 0·41, 95% CI 0·38–0·47). Interpretation The Hospital Frailty Risk Score provides hospitals and health systems with a low-cost, systematic way to screen for frailty and identify a group of patients who are at greater risk of adverse outcomes and for whom a frailty-attuned approach might be useful. Funding National Institute for Health Research.
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              Changes in Prevalence of Health Care–Associated Infections in U.S. Hospitals

              A point-prevalence survey that was conducted in the United States in 2011 showed that 4% of hospitalized patients had a health care-associated infection. We repeated the survey in 2015 to assess changes in the prevalence of health care-associated infections during a period of national attention to the prevention of such infections.
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                Author and article information

                Journal
                Ann Gastroenterol
                Ann Gastroenterol
                Annals of Gastroenterology
                Hellenic Society of Gastroenterology (Greece )
                1108-7471
                1792-7463
                Jul-Aug 2024
                20 June 2024
                : 37
                : 4
                : 442-448
                Affiliations
                [a ]Department of Internal Medicine, Yale School of Medicine, New Haven, CT (Abdelkader Chaar, Jin Woo Yoo, Rabia Rizwan)
                [b ]Department of Medicine, Yale-New Haven Hospital, New Haven, CT (Abdelkader Chaar, Jin Woo Yoo, Rabia Rizwan)
                [c ]Division of Gastroenterology, SUNY Upstate Medical University, Syracuse, NY (Ahmad Nawaz)
                [d ]Creighton University/St Joseph Medical Center, Phoenix, AZ (Osama Qasim Agha)
                [e ]Section of Digestive Diseases, Yale School of Medicine, New Haven, CT (Paul Feuerstadt)
                [f ]PACT-Gastroenterology Center, Hamden, CT (Paul Feuerstadt), USA
                Author notes
                Correspondence to: Paul Feuerstadt, MD, FACG, AGAF, 2200 Whitney Avenue, Hamden, CT 06518, USA, e-mail: pfeuerstadt@ 123456gastrocenter.org
                Article
                AnnGastroenterol-37-442
                10.20524/aog.2024.0898
                11226747
                38974087
                5150d37b-408e-4e10-af39-bf2e33849f2a
                Copyright: © 2024 Hellenic Society of Gastroenterology

                This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

                History
                : 04 March 2024
                : 20 May 2024
                Categories
                Original Article

                clostridioides difficile,colitis,frailty,hospital frailty risk score

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