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Baseline Objective Malnutritional Indices as Immune-Nutritional Predictors of Long-Term Recurrence in Patients with Acute Ischemic Stroke
Background: The controlling nutritional status (CONUT) score and the prognostic nutritional index (PNI) score were designed as indicators of patients’ immune-nutritional status. This study aimed to investigate the prognostic impact of the CONUT and PNI scores on long-term recurrent ischemic stroke (...
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Published in: | Nutrients 2022-03, Vol.14 (7), p.1337 |
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description | Background: The controlling nutritional status (CONUT) score and the prognostic nutritional index (PNI) score were designed as indicators of patients’ immune-nutritional status. This study aimed to investigate the prognostic impact of the CONUT and PNI scores on long-term recurrent ischemic stroke (RIS) and adverse outcomes for adults with acute ischemic stroke (AIS). Methods: This retrospective study enrolled 991 AIS patients. Multivariable Cox regression models were used to assess the relationships of the malnutritional indices and RIS and major cardiovascular events (MACEs). Results: During a median follow-up at 44 months (IQR 39−49 months), 203 (19.2%) patients had RIS and 261 (26.3%) had MACEs. Compared with normal nutritional status, moderate to severe malnutrition was significantly related to an increased risk of RIS in the CONUT score (adjusted hazard ratio (HR) 3.472, 95% confidence interval (CI) 2.223−5.432, p < 0.001). A higher PNI value tertile (tertile two, adjusted HR 0.295, 95% CI 0.202−0.430; tertile three, adjusted HR 0.445, 95% CI 0.308−0.632, all p < 0.001) was related to a lower risk of RIS. Similar results were found for MACEs. The PNI exhibited nonlinear association with the RIS and both two malnutritional indices improved the model’s discrimination when added to the model with other clinical risk factors. Conclusions: This study demonstrated that the CONUT and PNI are promising, straightforward screening indicators to identify AIS patients with impaired immune-nutritional status at higher risk of long-term RIS and MACEs. |
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fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_3918c6d36e18465e9e7cf2caf9bdb4ae</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_3918c6d36e18465e9e7cf2caf9bdb4ae</doaj_id><sourcerecordid>2649592582</sourcerecordid><originalsourceid>FETCH-LOGICAL-c402t-ba2e1876d051e6dd003ad3f5e6d65d4e68f487e7554d05eb20ebd4349d2208433</originalsourceid><addsrcrecordid>eNpdkt1u1DAQhSMEolXpDQ-ALHGDkAKOf5MbpFLxE2mhFZRry7Enu14Su7WdIh6Bt8ZlS9niG498Ph3PaE5VPW3wK0o7_NovDcOyoVQ-qA4JlqQWgtGHe_VBdZzSFt8ciaWgj6sDyhnmHesOq19vdYLJeUBnwxZMdteAPunJLzm67ILXE-q9dQYS0gn187x4qD_vqecRipxDTCiMaBX8ur6AOKMvYJYYwRtAzqNznR34nNAPlzfoxCwZUJ_MBmZn0Nccw3d4Uj0a9ZTg-PY-qr69f3dx-rFenX3oT09WtWGY5HrQBJpWCot5A8JajKm2dOSlFtwyEO3IWgmSc1YQGAiGwTLKOksIbhmlR1W_87VBb9VldLOOP1XQTv15CHGtdMzOTKBo17RGWCrKj0xw6ECakRg9doMdmIbi9WbndbkMM1hTRox6umd6X_Fuo9bhWnVlGWWIYvDi1iCGqwVSVrNLBqZJewhLUkSwjneEt6Sgz_9Dt2GJZQU7ChMmmCzUyx1lYkgpwnjXTIPVTWDUv8AU-Nl--3fo33jQ34AWvXA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2649024647</pqid></control><display><type>article</type><title>Baseline Objective Malnutritional Indices as Immune-Nutritional Predictors of Long-Term Recurrence in Patients with Acute Ischemic Stroke</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>PubMed Central</source><creator>Han, Xiaoyan ; Cai, Jinhua ; Li, Youjia ; Rong, Xiaoming ; Li, Yi ; He, Lei ; Li, Honghong ; Liang, Yuchan ; Huang, Huiqin ; Xu, Yongteng ; Shen, Qingyu ; Tang, Yamei</creator><creatorcontrib>Han, Xiaoyan ; Cai, Jinhua ; Li, Youjia ; Rong, Xiaoming ; Li, Yi ; He, Lei ; Li, Honghong ; Liang, Yuchan ; Huang, Huiqin ; Xu, Yongteng ; Shen, Qingyu ; Tang, Yamei</creatorcontrib><description>Background: The controlling nutritional status (CONUT) score and the prognostic nutritional index (PNI) score were designed as indicators of patients’ immune-nutritional status. This study aimed to investigate the prognostic impact of the CONUT and PNI scores on long-term recurrent ischemic stroke (RIS) and adverse outcomes for adults with acute ischemic stroke (AIS). Methods: This retrospective study enrolled 991 AIS patients. Multivariable Cox regression models were used to assess the relationships of the malnutritional indices and RIS and major cardiovascular events (MACEs). Results: During a median follow-up at 44 months (IQR 39−49 months), 203 (19.2%) patients had RIS and 261 (26.3%) had MACEs. Compared with normal nutritional status, moderate to severe malnutrition was significantly related to an increased risk of RIS in the CONUT score (adjusted hazard ratio (HR) 3.472, 95% confidence interval (CI) 2.223−5.432, p < 0.001). A higher PNI value tertile (tertile two, adjusted HR 0.295, 95% CI 0.202−0.430; tertile three, adjusted HR 0.445, 95% CI 0.308−0.632, all p < 0.001) was related to a lower risk of RIS. Similar results were found for MACEs. The PNI exhibited nonlinear association with the RIS and both two malnutritional indices improved the model’s discrimination when added to the model with other clinical risk factors. Conclusions: This study demonstrated that the CONUT and PNI are promising, straightforward screening indicators to identify AIS patients with impaired immune-nutritional status at higher risk of long-term RIS and MACEs.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu14071337</identifier><identifier>PMID: 35405949</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Acute coronary syndromes ; acute ischemic stroke ; Adult ; Age ; Clinical outcomes ; Confidence intervals ; Diabetes ; Humans ; Hypertension ; immunity ; Indicators ; Ischemia ; Ischemic Stroke - epidemiology ; long-term prognosis ; Malnutrition ; Malnutrition - complications ; Malnutrition - diagnosis ; Malnutrition - epidemiology ; Mortality ; Nutrition Assessment ; Nutritional Status ; Patients ; Prognosis ; recurrent ischemic stroke ; Regression analysis ; Retrospective Studies ; Risk analysis ; Risk factors ; Statistical analysis ; Stroke ; the controlling nutritional status score</subject><ispartof>Nutrients, 2022-03, Vol.14 (7), p.1337</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c402t-ba2e1876d051e6dd003ad3f5e6d65d4e68f487e7554d05eb20ebd4349d2208433</citedby><cites>FETCH-LOGICAL-c402t-ba2e1876d051e6dd003ad3f5e6d65d4e68f487e7554d05eb20ebd4349d2208433</cites><orcidid>0000-0002-2442-804X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2649024647/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2649024647?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25751,27922,27923,37010,37011,44588,53789,53791,74896</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35405949$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Xiaoyan</creatorcontrib><creatorcontrib>Cai, Jinhua</creatorcontrib><creatorcontrib>Li, Youjia</creatorcontrib><creatorcontrib>Rong, Xiaoming</creatorcontrib><creatorcontrib>Li, Yi</creatorcontrib><creatorcontrib>He, Lei</creatorcontrib><creatorcontrib>Li, Honghong</creatorcontrib><creatorcontrib>Liang, Yuchan</creatorcontrib><creatorcontrib>Huang, Huiqin</creatorcontrib><creatorcontrib>Xu, Yongteng</creatorcontrib><creatorcontrib>Shen, Qingyu</creatorcontrib><creatorcontrib>Tang, Yamei</creatorcontrib><title>Baseline Objective Malnutritional Indices as Immune-Nutritional Predictors of Long-Term Recurrence in Patients with Acute Ischemic Stroke</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>Background: The controlling nutritional status (CONUT) score and the prognostic nutritional index (PNI) score were designed as indicators of patients’ immune-nutritional status. This study aimed to investigate the prognostic impact of the CONUT and PNI scores on long-term recurrent ischemic stroke (RIS) and adverse outcomes for adults with acute ischemic stroke (AIS). Methods: This retrospective study enrolled 991 AIS patients. Multivariable Cox regression models were used to assess the relationships of the malnutritional indices and RIS and major cardiovascular events (MACEs). Results: During a median follow-up at 44 months (IQR 39−49 months), 203 (19.2%) patients had RIS and 261 (26.3%) had MACEs. Compared with normal nutritional status, moderate to severe malnutrition was significantly related to an increased risk of RIS in the CONUT score (adjusted hazard ratio (HR) 3.472, 95% confidence interval (CI) 2.223−5.432, p < 0.001). A higher PNI value tertile (tertile two, adjusted HR 0.295, 95% CI 0.202−0.430; tertile three, adjusted HR 0.445, 95% CI 0.308−0.632, all p < 0.001) was related to a lower risk of RIS. Similar results were found for MACEs. The PNI exhibited nonlinear association with the RIS and both two malnutritional indices improved the model’s discrimination when added to the model with other clinical risk factors. Conclusions: This study demonstrated that the CONUT and PNI are promising, straightforward screening indicators to identify AIS patients with impaired immune-nutritional status at higher risk of long-term RIS and MACEs.</description><subject>Acute coronary syndromes</subject><subject>acute ischemic stroke</subject><subject>Adult</subject><subject>Age</subject><subject>Clinical outcomes</subject><subject>Confidence intervals</subject><subject>Diabetes</subject><subject>Humans</subject><subject>Hypertension</subject><subject>immunity</subject><subject>Indicators</subject><subject>Ischemia</subject><subject>Ischemic Stroke - epidemiology</subject><subject>long-term prognosis</subject><subject>Malnutrition</subject><subject>Malnutrition - complications</subject><subject>Malnutrition - diagnosis</subject><subject>Malnutrition - epidemiology</subject><subject>Mortality</subject><subject>Nutrition Assessment</subject><subject>Nutritional Status</subject><subject>Patients</subject><subject>Prognosis</subject><subject>recurrent ischemic stroke</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Statistical analysis</subject><subject>Stroke</subject><subject>the controlling nutritional status score</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkt1u1DAQhSMEolXpDQ-ALHGDkAKOf5MbpFLxE2mhFZRry7Enu14Su7WdIh6Bt8ZlS9niG498Ph3PaE5VPW3wK0o7_NovDcOyoVQ-qA4JlqQWgtGHe_VBdZzSFt8ciaWgj6sDyhnmHesOq19vdYLJeUBnwxZMdteAPunJLzm67ILXE-q9dQYS0gn187x4qD_vqecRipxDTCiMaBX8ur6AOKMvYJYYwRtAzqNznR34nNAPlzfoxCwZUJ_MBmZn0Nccw3d4Uj0a9ZTg-PY-qr69f3dx-rFenX3oT09WtWGY5HrQBJpWCot5A8JajKm2dOSlFtwyEO3IWgmSc1YQGAiGwTLKOksIbhmlR1W_87VBb9VldLOOP1XQTv15CHGtdMzOTKBo17RGWCrKj0xw6ECakRg9doMdmIbi9WbndbkMM1hTRox6umd6X_Fuo9bhWnVlGWWIYvDi1iCGqwVSVrNLBqZJewhLUkSwjneEt6Sgz_9Dt2GJZQU7ChMmmCzUyx1lYkgpwnjXTIPVTWDUv8AU-Nl--3fo33jQ34AWvXA</recordid><startdate>20220323</startdate><enddate>20220323</enddate><creator>Han, Xiaoyan</creator><creator>Cai, Jinhua</creator><creator>Li, Youjia</creator><creator>Rong, Xiaoming</creator><creator>Li, Yi</creator><creator>He, Lei</creator><creator>Li, Honghong</creator><creator>Liang, Yuchan</creator><creator>Huang, Huiqin</creator><creator>Xu, Yongteng</creator><creator>Shen, Qingyu</creator><creator>Tang, Yamei</creator><general>MDPI AG</general><general>MDPI</general><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>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2442-804X</orcidid></search><sort><creationdate>20220323</creationdate><title>Baseline Objective Malnutritional Indices as Immune-Nutritional Predictors of Long-Term Recurrence in Patients with Acute Ischemic Stroke</title><author>Han, Xiaoyan ; Cai, Jinhua ; Li, Youjia ; Rong, Xiaoming ; Li, Yi ; He, Lei ; Li, Honghong ; Liang, Yuchan ; Huang, Huiqin ; Xu, Yongteng ; Shen, Qingyu ; Tang, Yamei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-ba2e1876d051e6dd003ad3f5e6d65d4e68f487e7554d05eb20ebd4349d2208433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acute coronary syndromes</topic><topic>acute ischemic stroke</topic><topic>Adult</topic><topic>Age</topic><topic>Clinical outcomes</topic><topic>Confidence intervals</topic><topic>Diabetes</topic><topic>Humans</topic><topic>Hypertension</topic><topic>immunity</topic><topic>Indicators</topic><topic>Ischemia</topic><topic>Ischemic Stroke - epidemiology</topic><topic>long-term prognosis</topic><topic>Malnutrition</topic><topic>Malnutrition - complications</topic><topic>Malnutrition - diagnosis</topic><topic>Malnutrition - epidemiology</topic><topic>Mortality</topic><topic>Nutrition Assessment</topic><topic>Nutritional Status</topic><topic>Patients</topic><topic>Prognosis</topic><topic>recurrent ischemic stroke</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Risk analysis</topic><topic>Risk factors</topic><topic>Statistical analysis</topic><topic>Stroke</topic><topic>the controlling nutritional status score</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Xiaoyan</creatorcontrib><creatorcontrib>Cai, Jinhua</creatorcontrib><creatorcontrib>Li, Youjia</creatorcontrib><creatorcontrib>Rong, Xiaoming</creatorcontrib><creatorcontrib>Li, Yi</creatorcontrib><creatorcontrib>He, Lei</creatorcontrib><creatorcontrib>Li, Honghong</creatorcontrib><creatorcontrib>Liang, Yuchan</creatorcontrib><creatorcontrib>Huang, Huiqin</creatorcontrib><creatorcontrib>Xu, Yongteng</creatorcontrib><creatorcontrib>Shen, Qingyu</creatorcontrib><creatorcontrib>Tang, Yamei</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Xiaoyan</au><au>Cai, Jinhua</au><au>Li, Youjia</au><au>Rong, Xiaoming</au><au>Li, Yi</au><au>He, Lei</au><au>Li, Honghong</au><au>Liang, Yuchan</au><au>Huang, Huiqin</au><au>Xu, Yongteng</au><au>Shen, Qingyu</au><au>Tang, Yamei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Baseline Objective Malnutritional Indices as Immune-Nutritional Predictors of Long-Term Recurrence in Patients with Acute Ischemic Stroke</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2022-03-23</date><risdate>2022</risdate><volume>14</volume><issue>7</issue><spage>1337</spage><pages>1337-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>Background: The controlling nutritional status (CONUT) score and the prognostic nutritional index (PNI) score were designed as indicators of patients’ immune-nutritional status. This study aimed to investigate the prognostic impact of the CONUT and PNI scores on long-term recurrent ischemic stroke (RIS) and adverse outcomes for adults with acute ischemic stroke (AIS). Methods: This retrospective study enrolled 991 AIS patients. Multivariable Cox regression models were used to assess the relationships of the malnutritional indices and RIS and major cardiovascular events (MACEs). Results: During a median follow-up at 44 months (IQR 39−49 months), 203 (19.2%) patients had RIS and 261 (26.3%) had MACEs. Compared with normal nutritional status, moderate to severe malnutrition was significantly related to an increased risk of RIS in the CONUT score (adjusted hazard ratio (HR) 3.472, 95% confidence interval (CI) 2.223−5.432, p < 0.001). A higher PNI value tertile (tertile two, adjusted HR 0.295, 95% CI 0.202−0.430; tertile three, adjusted HR 0.445, 95% CI 0.308−0.632, all p < 0.001) was related to a lower risk of RIS. Similar results were found for MACEs. The PNI exhibited nonlinear association with the RIS and both two malnutritional indices improved the model’s discrimination when added to the model with other clinical risk factors. Conclusions: This study demonstrated that the CONUT and PNI are promising, straightforward screening indicators to identify AIS patients with impaired immune-nutritional status at higher risk of long-term RIS and MACEs.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35405949</pmid><doi>10.3390/nu14071337</doi><orcidid>https://orcid.org/0000-0002-2442-804X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acute coronary syndromes acute ischemic stroke Adult Age Clinical outcomes Confidence intervals Diabetes Humans Hypertension immunity Indicators Ischemia Ischemic Stroke - epidemiology long-term prognosis Malnutrition Malnutrition - complications Malnutrition - diagnosis Malnutrition - epidemiology Mortality Nutrition Assessment Nutritional Status Patients Prognosis recurrent ischemic stroke Regression analysis Retrospective Studies Risk analysis Risk factors Statistical analysis Stroke the controlling nutritional status score |
title | Baseline Objective Malnutritional Indices as Immune-Nutritional Predictors of Long-Term Recurrence in Patients with Acute Ischemic Stroke |
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