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 |
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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 |
format | Article |
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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.</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. International Journal of Nursing Knowledge published by Wiley Periodicals LLC on behalf of NANDA International.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3675-59f5c22b0ab6f005a8053a1f48bfcd60f76c7a48587884de9298aa9751c341723</cites><orcidid>0000-0002-8619-4816 ; 0000-0003-2275-7007</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F2047-3095.12445$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F2047-3095.12445$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,30976,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37700456$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Roldán‐Chicano, María T.</creatorcontrib><creatorcontrib>García‐López, María M.</creatorcontrib><creatorcontrib>Martínez‐Pacheco, María C.</creatorcontrib><creatorcontrib>Rodríguez‐Tello, Javier</creatorcontrib><title>Prognostic value of defining characteristics in frail elderly syndrome: Hospital readmission and mortality outcomes</title><title>International journal of nursing knowledge</title><addtitle>Int J Nurs Knowl</addtitle><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.</description><subject>Accuracy</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Chronic fatigue syndrome</subject><subject>Clinical assessment</subject><subject>Clinical nursing</subject><subject>Cognitive impairment</subject><subject>Female</subject><subject>Frail</subject><subject>Frail Elderly</subject><subject>Frailty</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Imbalance</subject><subject>Male</subject><subject>Medical diagnosis</subject><subject>Medical prognosis</subject><subject>Memory</subject><subject>Mobility</subject><subject>Mortality</subject><subject>Nursing</subject><subject>nursing care</subject><subject>Nursing Diagnosis</subject><subject>Older people</subject><subject>patient care planning</subject><subject>Patient Readmission</subject><subject>Professional practice</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Readmission</subject><subject>Regression analysis</subject><subject>Syndrome</subject><issn>2047-3087</issn><issn>2047-3095</issn><issn>2047-3095</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkb1LBDEQxYMoKnq1nQRsbE6T3XytnYifiFpoHXLZRCPZ5Ex2lf3vzXnnFTZOM8Pwm8fwHgAHGJ3gUqcVInxao4ae4IoQugF215vN9Sz4Dpjk_I5KcVRz0WyDnZpzhAhluyA_pfgaYu6dhp_KDwZGC1tjXXDhFeo3lZTuTXILIEMXoE3KeWh8a5IfYR5Dm2JnzuBNzHPXKw-TUW3ncnYxQBVa2MVU1q4fYRx6Xdi8D7as8tlMVn0PvFxdPl_cTO8fr28vzu-numacTmljqa6qGVIzZhGiSiBaK2yJmFndMmQ501wRQQUXgrSmqRqhVMMp1jXBvKr3wPFSd57ix2ByL8tf2nivgolDlpVghGHesLqgR3_Q9zikUL6TxUKEquIpLtTpktIp5pyMlfPkOpVGiZFcRCIXpstFAPInknJxuNIdZp1p1_xvAAVgS-DLeTP-pydv7x6el8rf_S-WXA</recordid><startdate>202407</startdate><enddate>202407</enddate><creator>Roldán‐Chicano, María T.</creator><creator>García‐López, María M.</creator><creator>Martínez‐Pacheco, María C.</creator><creator>Rodríguez‐Tello, Javier</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>4T-</scope><scope>7QJ</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8619-4816</orcidid><orcidid>https://orcid.org/0000-0003-2275-7007</orcidid></search><sort><creationdate>202407</creationdate><title>Prognostic value of defining characteristics in frail elderly syndrome: Hospital readmission and mortality outcomes</title><author>Roldán‐Chicano, María T. ; 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 & Abstracts (ASSIA)</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of nursing knowledge</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Roldán‐Chicano, María T.</au><au>García‐López, María M.</au><au>Martínez‐Pacheco, María C.</au><au>Rodríguez‐Tello, Javier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic value of defining characteristics in frail elderly syndrome: Hospital readmission and mortality outcomes</atitle><jtitle>International journal of nursing knowledge</jtitle><addtitle>Int J Nurs Knowl</addtitle><date>2024-07</date><risdate>2024</risdate><volume>35</volume><issue>3</issue><spage>290</spage><epage>297</epage><pages>290-297</pages><issn>2047-3087</issn><issn>2047-3095</issn><eissn>2047-3095</eissn><abstract>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.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>37700456</pmid><doi>10.1111/2047-3095.12445</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-8619-4816</orcidid><orcidid>https://orcid.org/0000-0003-2275-7007</orcidid><oa>free_for_read</oa></addata></record> |
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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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