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Validation of the hospital frailty risk score in a tertiary care hospital in Switzerland: results of a prospective, observational study.

ABSTRACT: OBJECTIVES:Recently, the Hospital Frailty Risk Score based on a derivation and validation study in the UK has been proposed as a low-cost, systematic screening tool to identify older, frail patients who are at a greater risk of adverse outcomes and for whom a frailty-attuned approach might be useful. We aimed to validate this Score in an independent cohort in Switzerland. DESIGN:Secondary analysis of a prospective, observational study (TRIAGE study). SETTING:One 600-bed tertiary care hospital in Aarau, Switzerland. PARTICIPANTS:Consecutive medical inpatients aged ?75 years that presented to the emergency department or were electively admitted between October 2015 and April 2018. PRIMARY AND SECONDARY OUTCOME MEASURES:The primary endpoint was all-cause 30-day mortality. Secondary endpoints were length of hospital stay, hospital readmission, functional impairment and quality of life measures. We used multivariate regression analyses. RESULTS:Of 4957 included patients, 3150 (63.5%) were classified as low risk, 1663 (33.5%) intermediate risk, and 144 (2.9%) high risk for frailty. Compared with the low-risk group, patients in the moderate risk and high-risk groups had increased risk for 30-day mortality (OR (OR) 2.53, 95%?CI 2.09 to 3.06, p<0.001?and OR 4.40, 95%?CI 2.94 to 6.57, p<0.001) with overall moderate discrimination (area under the ROC curve 0.66). The results remained robust after adjustment for important confounders. Similarly, we found longer length of hospital stay, more severe functional impairment and a lower quality of life in higher risk group patients. CONCLUSION:Our data confirm the prognostic value of the Hospital Frailty Risk Score to identify older, frail people at risk for mortality and adverse outcomes in an independent patient population. TRIAL REGISTRATION NUMBER:NCT01768494; Post-results.

SUBMITTER: Eckart A

PROVIDER: S-EPMC6340447 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Validation of the hospital frailty risk score in a tertiary care hospital in Switzerland: results of a prospective, observational study.

Eckart Andreas A Hauser Stephanie Isabelle SI Haubitz Sebastian S Struja Tristan T Kutz Alexander A Koch Daniel D Neeser Olivia O Meier Marc A MA Mueller Beat B Schuetz Philipp P

BMJ open 20190115 1

<h4>Objectives</h4>Recently, the Hospital Frailty Risk Score based on a derivation and validation study in the UK has been proposed as a low-cost, systematic screening tool to identify older, frail patients who are at a greater risk of adverse outcomes and for whom a frailty-attuned approach might be useful. We aimed to validate this Score in an independent cohort in Switzerland.<h4>Design</h4>Secondary analysis of a prospective, observational study (TRIAGE study).<h4>Setting</h4>One 600-bed ter ...[more]

PMID: 30647051

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Project description:BackgroundOlder 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.MethodsA 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.FindingsIn 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).InterpretationThe 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.FundingNational Institute for Health Research.

Project description:BackgroundThe value of early integration of palliative care has been demonstrated increasingly for the past years in both oncological and nononcological diseases. Outpatient palliative care services might represent a feasible approach to implement supportive care in early disease. In this study, we aimed at evaluating which patients use and benefit from outpatient palliative care services, which symptoms are addressed most, and which support services are installed in this early phase of disease.MethodsWe retrospectively analyzed the entire patient collective of a recently developed palliative care outpatient clinic within the leading university hospital in Switzerland for a period of five years. Sociodemographics, symptoms, and information on disease as well as patient-reported outcomes were retrieved from the electronic patient files. Demographic and clinical data were analyzed by descriptive statistics between groups and survival was analyzed by means of Kaplan-Meier estimates and log-rank test.ResultsWe report on 642 consultations of 363 patients between 2016 and 2020. Patients had a mean of 1.8 visits (range 1-10), with n = 340 patients (93.7%) of patients suffering from an oncological disease. Overall symptom load was high, with n = 401 (73.7%) of patient-reported outcomes reporting two or more symptoms. Distress levels of 5 or higher were reported in n = 78 (30.4%) of available patient-reported outcomes. Independent of the origin of primary disease and the length of the disease trajectory, patients were referred to the palliative care service in median only four months before death.ConclusionWe identify high symptom load and distress in the outpatient palliative patient population. Patients benefitted from supportive medication, improvement of ambulatory support systems and advance care planning, and more than one-third of patients remained in follow-up, indicating a good acceptance of the service. Overcoming the overall late referral could, however, further increase the quality of life at earlier stages of disease.

Project description:BackgroundMost claims-based frailty instruments have been designed for group stratification of older populations according to the risk of adverse health outcomes and not frailty itself. We aimed to develop and validate a tool based on one-year hospital discharge data for stratification on Fried's frailty phenotype (FP).MethodsWe used a three-stage development/validation approach. First, we created a clinical knowledge-driven electronic frailty score (eFS) calculated as the number of deficient organs/systems among 18 critical ones identified from the International Statistical Classification of Diseases and Related Problems, 10th Revision (ICD-10) diagnoses coded in the year before FP assessment. Second, for eFS development and internal validation, we linked individual records from the Lc65+ cohort database to inpatient discharge data from Lausanne University Hospital (CHUV) for the period 2004-2015. The development/internal validation sample included community-dwelling, non-institutionalised residents of Lausanne (Switzerland) recruited in the Lc65+ cohort in three waves (2004, 2009, and 2014), aged 65-70 years at enrolment, and hospitalised at the CHUV at least once in the year preceding the FP assessment. Using this sample, we selected the best performing model for predicting the dichotomised FP, with the eFS or ICD-10-based variables as predictors. Third, we conducted an external validation using 2016 Swiss nationwide hospital discharge data and compared the performance of the eFS model in predicting 13 adverse outcomes to three models relying on well-designed and validated claims-based scores (Claims-based Frailty Index, Hospital Frailty Risk Score, Dr Foster Global Frailty Score).FindingsIn the development/internal validation sample (n = 469), 14·3% of participants (n = 67) were frail. Among 34 models tested, the best-subsets logistic regression model with four predictors (age and sex at FP assessment, time since last hospital discharge, eFS) performed best in predicting the dichotomised FP (area under the curve=0·71; F1 score=0·39) and one-year adverse health outcomes. On the external validation sample (n = 54,815; 153 acute care hospitals), the eFS model demonstrated a similar performance to the three other claims-based scoring models. According to the eFS model, the external validation sample showed an estimated prevalence of 56·8% (n = 31,135) of frail older inpatients at admission.InterpretationThe eFS model is an inexpensive, transportable and valid tool allowing reliable group stratification and individual prioritisation for comprehensive frailty assessment and may be applied to both hospitalised and community-dwelling older adults.FundingThe study received no external funding.

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Validation of the hospital frailty risk score in a tertiary care hospital in Switzerland: results of a prospective, observational study.

Publications

Validation of the hospital frailty risk score in a tertiary care hospital in Switzerland: results of a prospective, observational study.

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