Predictive Value of Nutrition and Inflammation-Related Indices on Prognosis in Type 2 Diabetes Mellitus Patients with Coronavirus Disease-2019
This study aimed to demonstrate how the prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) help predict the severity and prognosis of patients with type 2 diabetes (T2DM) and coronavirus disease (COVID-19). This retrospective cohort study included 501 T2DM patients (male...
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Veröffentlicht in: | Şişli Etfal Hastanesi tıp bülteni 2024-01, Vol.58 (1), p.55-61 |
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description | This study aimed to demonstrate how the prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) help predict the severity and prognosis of patients with type 2 diabetes (T2DM) and coronavirus disease (COVID-19).
This retrospective cohort study included 501 T2DM patients (male, 42.1%; female, 57.9%) who were hospitalized due to COVID-19 between April 2020 and December 2020. The patients were divided into survivors and non-survivors. After comparing demographic and laboratory data between the groups, the correlation of PNI and SII with clinical and laboratory data was evaluated.
The median (interquartile) ages of the non-survivor and survivor groups were 74 (15) and 69 (14) years, respectively, and the difference was significant (p |
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This retrospective cohort study included 501 T2DM patients (male, 42.1%; female, 57.9%) who were hospitalized due to COVID-19 between April 2020 and December 2020. The patients were divided into survivors and non-survivors. After comparing demographic and laboratory data between the groups, the correlation of PNI and SII with clinical and laboratory data was evaluated.
The median (interquartile) ages of the non-survivor and survivor groups were 74 (15) and 69 (14) years, respectively, and the difference was significant (p<0.001). The PNI was significantly lower in the non-survivor group than in the survivor group (p<0.001). The SII was significantly higher in the non-survivor group than in the survivor group (p<0.001). PNI was negatively correlated with glucose levels (r=-0.115, p=0.011). If the cut-off PNI value of 29.1 was used, it had a sensitivity and specificity of 76.2% and 76.3%, respectively, in predicting the severity of the illness and the risk of death in T2DM patients.
Consequently, the PNI and SII levels are effective in predicting survival and disease severity in patients with COVID-19 and T2DM.</description><identifier>ISSN: 1302-7123</identifier><identifier>EISSN: 1308-5123</identifier><identifier>DOI: 10.14744/SEMB.2023.36699</identifier><identifier>PMID: 38808055</identifier><language>eng</language><publisher>Turkey: KARE Publishing</publisher><subject>B cells ; Cohort analysis ; Coronaviruses ; COVID-19 ; Dextrose ; Diabetes ; Diet therapy ; Glucose ; Hospital patients ; Inflammation ; Laboratories ; Medical prognosis ; Medical research ; Medicine, Experimental ; Original Research ; Prognosis ; Type 2 diabetes</subject><ispartof>Şişli Etfal Hastanesi tıp bülteni, 2024-01, Vol.58 (1), p.55-61</ispartof><rights>Copyright 2024 by The Medical Bulletin of Sisli Etfal Hospital.</rights><rights>COPYRIGHT 2024 KARE Publishing</rights><rights>2024. This work is published under https://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><rights>Copyright 2024 by The Medical Bulletin of Sisli Etfal Hospital 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-b5d0c5b7751dbd3ac72d6c293edc4a23626ddc3ef3bfe4c65d63ab876bfb60463</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11128691/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11128691/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38808055$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Batman, Adnan</creatorcontrib><creatorcontrib>Ekici, Mustafa</creatorcontrib><creatorcontrib>Menekse, Tugba Sanalp</creatorcontrib><creatorcontrib>Ciftciler, Rafiye</creatorcontrib><creatorcontrib>Yazici, Dilek</creatorcontrib><title>Predictive Value of Nutrition and Inflammation-Related Indices on Prognosis in Type 2 Diabetes Mellitus Patients with Coronavirus Disease-2019</title><title>Şişli Etfal Hastanesi tıp bülteni</title><addtitle>Sisli Etfal Hastan Tip Bul</addtitle><description>This study aimed to demonstrate how the prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) help predict the severity and prognosis of patients with type 2 diabetes (T2DM) and coronavirus disease (COVID-19).
This retrospective cohort study included 501 T2DM patients (male, 42.1%; female, 57.9%) who were hospitalized due to COVID-19 between April 2020 and December 2020. The patients were divided into survivors and non-survivors. After comparing demographic and laboratory data between the groups, the correlation of PNI and SII with clinical and laboratory data was evaluated.
The median (interquartile) ages of the non-survivor and survivor groups were 74 (15) and 69 (14) years, respectively, and the difference was significant (p<0.001). The PNI was significantly lower in the non-survivor group than in the survivor group (p<0.001). The SII was significantly higher in the non-survivor group than in the survivor group (p<0.001). PNI was negatively correlated with glucose levels (r=-0.115, p=0.011). If the cut-off PNI value of 29.1 was used, it had a sensitivity and specificity of 76.2% and 76.3%, respectively, in predicting the severity of the illness and the risk of death in T2DM patients.
Consequently, the PNI and SII levels are effective in predicting survival and disease severity in patients with COVID-19 and T2DM.</description><subject>B cells</subject><subject>Cohort analysis</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Dextrose</subject><subject>Diabetes</subject><subject>Diet therapy</subject><subject>Glucose</subject><subject>Hospital patients</subject><subject>Inflammation</subject><subject>Laboratories</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Original Research</subject><subject>Prognosis</subject><subject>Type 2 diabetes</subject><issn>1302-7123</issn><issn>1308-5123</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptUk1v1DAQjRCIVqV3TsgSFy5Z_JHYzgmVbSmVWlhB4Wo59mTrKrEXO1nUP8FvrrMthSJsyR7NvPfsGb2ieEnwglSiqt5-Pbl4v6CYsgXjvGmeFPuEYVnWhLKnu5iWIsd7xWFK1zgvTqio5PNij0mJJa7r_eLXKoJ1ZnRbQN91PwEKHfo0jdGNLnikvUVnvuv1MOg5UX6BXo8wJzMLEsqYVQxrH5JLyHl0ebMBRNGx0y2MuX4Bfe_GKaFV5oMfE_rpxiu0DDF4vXUxV45dAp2gpJg0L4pnne4THN7fB8W3DyeXy4_l-efTs-XReWkqSseyrS02dStETWxrmTaCWm5ow8CaSlPGKbfWMOhY20FleG05060UvO1ajivODop3d7qbqR0yKf8s6l5toht0vFFBO_W44t2VWoetIoRQyRuSFd7cK8TwY4I0qsElk7vVHsKUFMvTFnI-M_T1P9DrMEWf-8uoqhGykQ3_g1rrHpTzXcgPm1lUHYmG1kQKKjJq8R9U3hYGZ4KHzuX8IwK-I5gYUorQPTRJsNr5SM0-UrOP1M5HmfLq7-E8EH67ht0CiFDECg</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Batman, Adnan</creator><creator>Ekici, Mustafa</creator><creator>Menekse, Tugba Sanalp</creator><creator>Ciftciler, Rafiye</creator><creator>Yazici, Dilek</creator><general>KARE Publishing</general><general>Kare Publishing</general><general>Med Bull Sisli Etfal Hosp</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</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>COVID</scope><scope>DWQXO</scope><scope>EDSIH</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20240101</creationdate><title>Predictive Value of Nutrition and Inflammation-Related Indices on Prognosis in Type 2 Diabetes Mellitus Patients with Coronavirus Disease-2019</title><author>Batman, Adnan ; Ekici, Mustafa ; Menekse, Tugba Sanalp ; Ciftciler, Rafiye ; Yazici, Dilek</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-b5d0c5b7751dbd3ac72d6c293edc4a23626ddc3ef3bfe4c65d63ab876bfb60463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>B cells</topic><topic>Cohort analysis</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Dextrose</topic><topic>Diabetes</topic><topic>Diet therapy</topic><topic>Glucose</topic><topic>Hospital patients</topic><topic>Inflammation</topic><topic>Laboratories</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Original Research</topic><topic>Prognosis</topic><topic>Type 2 diabetes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Batman, Adnan</creatorcontrib><creatorcontrib>Ekici, Mustafa</creatorcontrib><creatorcontrib>Menekse, Tugba Sanalp</creatorcontrib><creatorcontrib>Ciftciler, Rafiye</creatorcontrib><creatorcontrib>Yazici, Dilek</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Turkey Database</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>Publicly Available Content Database</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><jtitle>Şişli Etfal Hastanesi tıp bülteni</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Batman, Adnan</au><au>Ekici, Mustafa</au><au>Menekse, Tugba Sanalp</au><au>Ciftciler, Rafiye</au><au>Yazici, Dilek</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictive Value of Nutrition and Inflammation-Related Indices on Prognosis in Type 2 Diabetes Mellitus Patients with Coronavirus Disease-2019</atitle><jtitle>Şişli Etfal Hastanesi tıp bülteni</jtitle><addtitle>Sisli Etfal Hastan Tip Bul</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>58</volume><issue>1</issue><spage>55</spage><epage>61</epage><pages>55-61</pages><issn>1302-7123</issn><eissn>1308-5123</eissn><abstract>This study aimed to demonstrate how the prognostic nutritional index (PNI) and systemic immune-inflammatory index (SII) help predict the severity and prognosis of patients with type 2 diabetes (T2DM) and coronavirus disease (COVID-19).
This retrospective cohort study included 501 T2DM patients (male, 42.1%; female, 57.9%) who were hospitalized due to COVID-19 between April 2020 and December 2020. The patients were divided into survivors and non-survivors. After comparing demographic and laboratory data between the groups, the correlation of PNI and SII with clinical and laboratory data was evaluated.
The median (interquartile) ages of the non-survivor and survivor groups were 74 (15) and 69 (14) years, respectively, and the difference was significant (p<0.001). The PNI was significantly lower in the non-survivor group than in the survivor group (p<0.001). The SII was significantly higher in the non-survivor group than in the survivor group (p<0.001). PNI was negatively correlated with glucose levels (r=-0.115, p=0.011). If the cut-off PNI value of 29.1 was used, it had a sensitivity and specificity of 76.2% and 76.3%, respectively, in predicting the severity of the illness and the risk of death in T2DM patients.
Consequently, the PNI and SII levels are effective in predicting survival and disease severity in patients with COVID-19 and T2DM.</abstract><cop>Turkey</cop><pub>KARE Publishing</pub><pmid>38808055</pmid><doi>10.14744/SEMB.2023.36699</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | B cells Cohort analysis Coronaviruses COVID-19 Dextrose Diabetes Diet therapy Glucose Hospital patients Inflammation Laboratories Medical prognosis Medical research Medicine, Experimental Original Research Prognosis Type 2 diabetes |
title | Predictive Value of Nutrition and Inflammation-Related Indices on Prognosis in Type 2 Diabetes Mellitus Patients with Coronavirus Disease-2019 |
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