Prognostic value of defining characteristics in frail elderly syndrome: Hospital readmission and mortality outcomes

Objective To identify the most relevant clinical characteristics of the nursing diagnosis frail elderly syndrome (FES) in hospitalized patients aged 65 or older and analyze their impact on 9‐month mortality and hospital readmission. Methods A prospective and prognostic accuracy study was conducted i...

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Veröffentlicht in:International journal of nursing knowledge 2024-07, Vol.35 (3), p.290-297
Hauptverfasser: Roldán‐Chicano, María T., García‐López, María M., Martínez‐Pacheco, María C., Rodríguez‐Tello, Javier
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container_start_page 290
container_title International journal of nursing knowledge
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creator Roldán‐Chicano, María T.
García‐López, María M.
Martínez‐Pacheco, María C.
Rodríguez‐Tello, Javier
description Objective To identify the most relevant clinical characteristics of the nursing diagnosis frail elderly syndrome (FES) in hospitalized patients aged 65 or older and analyze their impact on 9‐month mortality and hospital readmission. Methods A prospective and prognostic accuracy study was conducted in patients aged 65 or older, who were admitted to hospital more than 24 h. A consecutive convenience sampling process was used. Assessment included defining characteristics (DCs) of FES, clinical fraility scale (CFS), frail scale (FS), and 9‐month mortality and hospital readmission. Statistical tests were used to verify associations between variables. Binary logistic regression analysis and area under the curve were used, to identify significant predictors for the outcomes and evaluate the prognostic accuracy of the DCs. Findings This study involved 150 patients. CFS scored 65 patients (43.3%, confidence interval 95% 35.2% a 51.6) as frail and proved a prognostic value of mortality at 9 month from pre‐frail state (p = 0.020). The mean number of DCs for FES nursing diagnosis was 6.35 (SD = 3.14). Validated tools for measuring frailty were associated with all DCs, excepting nutritional imbalance: below body needs. The hospital readmission during the following 9 months was only statistically related to memory impairment (p = 0.07). Conclusion Clinical frailty scale showed good results as a predictor of mortality. The study suggests exploring including it, in clinical manifestations of elderly frail syndrome. This study found that only memory impairment defining characteristic was predictive of hospital readmission. Further research should identify other relevant and prognostic clinical manifestations. Implication for nursing practice These findings highlight the importance of being vigilant on cognitive decline during hospital admissions. The most prevalent and determinant DCs identified in this study indicate that clinical should focus on preserving functional and mental abilities as well as mobility.
doi_str_mv 10.1111/2047-3095.12445
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Methods A prospective and prognostic accuracy study was conducted in patients aged 65 or older, who were admitted to hospital more than 24 h. A consecutive convenience sampling process was used. Assessment included defining characteristics (DCs) of FES, clinical fraility scale (CFS), frail scale (FS), and 9‐month mortality and hospital readmission. Statistical tests were used to verify associations between variables. Binary logistic regression analysis and area under the curve were used, to identify significant predictors for the outcomes and evaluate the prognostic accuracy of the DCs. Findings This study involved 150 patients. CFS scored 65 patients (43.3%, confidence interval 95% 35.2% a 51.6) as frail and proved a prognostic value of mortality at 9 month from pre‐frail state (p = 0.020). The mean number of DCs for FES nursing diagnosis was 6.35 (SD = 3.14). Validated tools for measuring frailty were associated with all DCs, excepting nutritional imbalance: below body needs. The hospital readmission during the following 9 months was only statistically related to memory impairment (p = 0.07). Conclusion Clinical frailty scale showed good results as a predictor of mortality. The study suggests exploring including it, in clinical manifestations of elderly frail syndrome. This study found that only memory impairment defining characteristic was predictive of hospital readmission. Further research should identify other relevant and prognostic clinical manifestations. Implication for nursing practice These findings highlight the importance of being vigilant on cognitive decline during hospital admissions. The most prevalent and determinant DCs identified in this study indicate that clinical should focus on preserving functional and mental abilities as well as mobility.</description><identifier>ISSN: 2047-3087</identifier><identifier>ISSN: 2047-3095</identifier><identifier>EISSN: 2047-3095</identifier><identifier>DOI: 10.1111/2047-3095.12445</identifier><identifier>PMID: 37700456</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Accuracy ; Aged ; Aged, 80 and over ; Chronic fatigue syndrome ; Clinical assessment ; Clinical nursing ; Cognitive impairment ; Female ; Frail ; Frail Elderly ; Frailty ; Hospitalization ; Humans ; Imbalance ; Male ; Medical diagnosis ; Medical prognosis ; Memory ; Mobility ; Mortality ; Nursing ; nursing care ; Nursing Diagnosis ; Older people ; patient care planning ; Patient Readmission ; Professional practice ; Prognosis ; Prospective Studies ; Readmission ; Regression analysis ; Syndrome</subject><ispartof>International journal of nursing knowledge, 2024-07, Vol.35 (3), p.290-297</ispartof><rights>2023 The Authors. published by Wiley Periodicals LLC on behalf of NANDA International.</rights><rights>2023 The Authors. 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Methods A prospective and prognostic accuracy study was conducted in patients aged 65 or older, who were admitted to hospital more than 24 h. A consecutive convenience sampling process was used. Assessment included defining characteristics (DCs) of FES, clinical fraility scale (CFS), frail scale (FS), and 9‐month mortality and hospital readmission. Statistical tests were used to verify associations between variables. Binary logistic regression analysis and area under the curve were used, to identify significant predictors for the outcomes and evaluate the prognostic accuracy of the DCs. Findings This study involved 150 patients. CFS scored 65 patients (43.3%, confidence interval 95% 35.2% a 51.6) as frail and proved a prognostic value of mortality at 9 month from pre‐frail state (p = 0.020). The mean number of DCs for FES nursing diagnosis was 6.35 (SD = 3.14). Validated tools for measuring frailty were associated with all DCs, excepting nutritional imbalance: below body needs. The hospital readmission during the following 9 months was only statistically related to memory impairment (p = 0.07). Conclusion Clinical frailty scale showed good results as a predictor of mortality. The study suggests exploring including it, in clinical manifestations of elderly frail syndrome. This study found that only memory impairment defining characteristic was predictive of hospital readmission. Further research should identify other relevant and prognostic clinical manifestations. Implication for nursing practice These findings highlight the importance of being vigilant on cognitive decline during hospital admissions. 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García‐López, María M. ; Martínez‐Pacheco, María C. ; Rodríguez‐Tello, Javier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3675-59f5c22b0ab6f005a8053a1f48bfcd60f76c7a48587884de9298aa9751c341723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Chronic fatigue syndrome</topic><topic>Clinical assessment</topic><topic>Clinical nursing</topic><topic>Cognitive impairment</topic><topic>Female</topic><topic>Frail</topic><topic>Frail Elderly</topic><topic>Frailty</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Imbalance</topic><topic>Male</topic><topic>Medical diagnosis</topic><topic>Medical prognosis</topic><topic>Memory</topic><topic>Mobility</topic><topic>Mortality</topic><topic>Nursing</topic><topic>nursing care</topic><topic>Nursing Diagnosis</topic><topic>Older people</topic><topic>patient care planning</topic><topic>Patient Readmission</topic><topic>Professional practice</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Readmission</topic><topic>Regression analysis</topic><topic>Syndrome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Roldán‐Chicano, María T.</creatorcontrib><creatorcontrib>García‐López, María M.</creatorcontrib><creatorcontrib>Martínez‐Pacheco, María C.</creatorcontrib><creatorcontrib>Rodríguez‐Tello, Javier</creatorcontrib><collection>Wiley Online Library</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Docstoc</collection><collection>Applied Social Sciences Index &amp; 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Methods A prospective and prognostic accuracy study was conducted in patients aged 65 or older, who were admitted to hospital more than 24 h. A consecutive convenience sampling process was used. Assessment included defining characteristics (DCs) of FES, clinical fraility scale (CFS), frail scale (FS), and 9‐month mortality and hospital readmission. Statistical tests were used to verify associations between variables. Binary logistic regression analysis and area under the curve were used, to identify significant predictors for the outcomes and evaluate the prognostic accuracy of the DCs. Findings This study involved 150 patients. CFS scored 65 patients (43.3%, confidence interval 95% 35.2% a 51.6) as frail and proved a prognostic value of mortality at 9 month from pre‐frail state (p = 0.020). The mean number of DCs for FES nursing diagnosis was 6.35 (SD = 3.14). Validated tools for measuring frailty were associated with all DCs, excepting nutritional imbalance: below body needs. The hospital readmission during the following 9 months was only statistically related to memory impairment (p = 0.07). Conclusion Clinical frailty scale showed good results as a predictor of mortality. The study suggests exploring including it, in clinical manifestations of elderly frail syndrome. This study found that only memory impairment defining characteristic was predictive of hospital readmission. Further research should identify other relevant and prognostic clinical manifestations. Implication for nursing practice These findings highlight the importance of being vigilant on cognitive decline during hospital admissions. 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source Wiley-Blackwell Journals; Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE
subjects Accuracy
Aged
Aged, 80 and over
Chronic fatigue syndrome
Clinical assessment
Clinical nursing
Cognitive impairment
Female
Frail
Frail Elderly
Frailty
Hospitalization
Humans
Imbalance
Male
Medical diagnosis
Medical prognosis
Memory
Mobility
Mortality
Nursing
nursing care
Nursing Diagnosis
Older people
patient care planning
Patient Readmission
Professional practice
Prognosis
Prospective Studies
Readmission
Regression analysis
Syndrome
title Prognostic value of defining characteristics in frail elderly syndrome: Hospital readmission and mortality outcomes
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