Prediction of postoperative pulmonary complications using preoperative controlling nutritional status (CONUT) score in patients with resectable non-small cell lung cancer
Postoperative pulmonary complications (PPCs) significantly impact surgical outcome. We investigated the predictive ability of controlling nutritional status (CONUT) for PPC after lung resection in patients with non-small cell lung cancer (NSCLC). We retrospectively reviewed data of 922 patients with...
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| description | Postoperative pulmonary complications (PPCs) significantly impact surgical outcome. We investigated the predictive ability of controlling nutritional status (CONUT) for PPC after lung resection in patients with non-small cell lung cancer (NSCLC). We retrospectively reviewed data of 922 patients with NSCLC who underwent complete resection from January 2016–December 2017. We analyzed the frequency and characteristics of PPCs and compared receiver operating characteristic (ROC) curves of various prognostic models to predict PPCs. A CONUT score higher than 1 was considered as a high CONUT score. Total incidence of PPCs was 8.6% (n = 79). The proportion of pneumonia was significantly larger in the high CONUT group (
P
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| doi_str_mv | 10.1038/s41598-020-68929-9 |
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P
< 0.05). The CONUT consistently had a higher area under curve (AUC) value (0.64) than other prognostic models (prognostic nutritional index (PNI): AUC = 0.61, Glasgow prognostic score (GPS): AUC = 0.57, and assessment of respiratory risk in surgical patients in Catalonia (ARISCAT): AUC = 0.54). Multivariate analysis identified underweight [Odds ratio (OR) = 4.57,
P
= 0.002] and high CONUT score (OR = 1.91,
P
= 0.009) as independent PPCs prognostic factors. One-year mortality rate for high CONUT score was significantly higher (hazard ratio = 7.97; 95% confidence interval, 1.78–35.59). Preoperative CONUT score is an independent predictor of PPCs and 1-year mortality in patients with resectable NSCLC.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-68929-9</identifier><identifier>PMID: 32709867</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/4028/546 ; 692/4028/67/1612/1350 ; Aged ; Carcinoma, Non-Small-Cell Lung - physiopathology ; Carcinoma, Non-Small-Cell Lung - surgery ; Female ; Humanities and Social Sciences ; Humans ; Lung cancer ; Lung Neoplasms - physiopathology ; Lung Neoplasms - surgery ; Male ; Middle Aged ; Mortality ; multidisciplinary ; Multivariate analysis ; Non-small cell lung carcinoma ; Nutrition assessment ; Nutritional Status ; Postoperative Complications - diagnosis ; Prognosis ; Retrospective Studies ; Science ; Science (multidisciplinary) ; Small cell lung carcinoma ; Underweight</subject><ispartof>Scientific reports, 2020-07, Vol.10 (1), p.12385-12385, Article 12385</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/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><citedby>FETCH-LOGICAL-c474t-e0035edba6f657be2e23643124e744ad2455e2f3cdf4acf7991b830de5addcd33</citedby><cites>FETCH-LOGICAL-c474t-e0035edba6f657be2e23643124e744ad2455e2f3cdf4acf7991b830de5addcd33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382444/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382444/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27922,27923,41118,42187,51574,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32709867$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Sang Chul</creatorcontrib><creatorcontrib>Lee, Jin Gu</creatorcontrib><creatorcontrib>Lee, Sang Hoon</creatorcontrib><creatorcontrib>Kim, Eun Young</creatorcontrib><creatorcontrib>Chang, Joon</creatorcontrib><creatorcontrib>Kim, Dae Joon</creatorcontrib><creatorcontrib>Paik, Hyo Chae</creatorcontrib><creatorcontrib>Chung, Kyung Young</creatorcontrib><creatorcontrib>Jung, Ji Ye</creatorcontrib><title>Prediction of postoperative pulmonary complications using preoperative controlling nutritional status (CONUT) score in patients with resectable non-small cell lung cancer</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Postoperative pulmonary complications (PPCs) significantly impact surgical outcome. We investigated the predictive ability of controlling nutritional status (CONUT) for PPC after lung resection in patients with non-small cell lung cancer (NSCLC). We retrospectively reviewed data of 922 patients with NSCLC who underwent complete resection from January 2016–December 2017. We analyzed the frequency and characteristics of PPCs and compared receiver operating characteristic (ROC) curves of various prognostic models to predict PPCs. A CONUT score higher than 1 was considered as a high CONUT score. Total incidence of PPCs was 8.6% (n = 79). The proportion of pneumonia was significantly larger in the high CONUT group (
P
< 0.05). The CONUT consistently had a higher area under curve (AUC) value (0.64) than other prognostic models (prognostic nutritional index (PNI): AUC = 0.61, Glasgow prognostic score (GPS): AUC = 0.57, and assessment of respiratory risk in surgical patients in Catalonia (ARISCAT): AUC = 0.54). Multivariate analysis identified underweight [Odds ratio (OR) = 4.57,
P
= 0.002] and high CONUT score (OR = 1.91,
P
= 0.009) as independent PPCs prognostic factors. One-year mortality rate for high CONUT score was significantly higher (hazard ratio = 7.97; 95% confidence interval, 1.78–35.59). Preoperative CONUT score is an independent predictor of PPCs and 1-year mortality in patients with resectable NSCLC.</description><subject>692/4028/546</subject><subject>692/4028/67/1612/1350</subject><subject>Aged</subject><subject>Carcinoma, Non-Small-Cell Lung - physiopathology</subject><subject>Carcinoma, Non-Small-Cell Lung - surgery</subject><subject>Female</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - physiopathology</subject><subject>Lung Neoplasms - surgery</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>multidisciplinary</subject><subject>Multivariate analysis</subject><subject>Non-small cell lung carcinoma</subject><subject>Nutrition assessment</subject><subject>Nutritional Status</subject><subject>Postoperative Complications - diagnosis</subject><subject>Prognosis</subject><subject>Retrospective Studies</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Small cell lung carcinoma</subject><subject>Underweight</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kstu3SAQhq2qVROleYEuKqRu0oVbDPjCplJ11JsUNVkka4Tx-IQIg8vgRH2lPmVxTm7NIiwAab75mRn-onhb0Y8V5d0nFFUtu5IyWjadZLKUL4p9RkVdMs7Yy0f3veIQ8ZLmVTMpKvm62OOspbJr2v3i72mEwZpkgydhJHPAFGaIOtkrIPPipuB1_ENMmGZnjV45JAtavyVzhAfUBJ9icG4N-CVFu5LaEUw6LUiONie_zs8-EDQhArGezDkNfEJybdMFiYBgku4dEB98iZN2jhjIm1uyoNHeQHxTvBq1Qzi8PQ-K829fzzY_yuOT7z83X45LI1qRSqCU1zD0uhmbuu2BAeON4BUT0AqhBybqGtjIzTAKbcZWyqrvOB2g1sNgBs4Pis873XnpJxhMLjNqp-ZopzwKFbRV_0e8vVDbcKVa3jEhRBY4uhWI4fcCmNRkce1GewgLKiZYm39CyC6j75-gl2GJeXA3VNPSmlZrRWxHmRgQI4z3xVRUrW5QOzeo7AZ14wYlc9K7x23cp9z9fQb4DsAc8luID28_I_sP-B_GXA</recordid><startdate>20200724</startdate><enddate>20200724</enddate><creator>Lee, Sang Chul</creator><creator>Lee, Jin Gu</creator><creator>Lee, Sang Hoon</creator><creator>Kim, Eun Young</creator><creator>Chang, Joon</creator><creator>Kim, Dae Joon</creator><creator>Paik, Hyo Chae</creator><creator>Chung, Kyung Young</creator><creator>Jung, Ji Ye</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200724</creationdate><title>Prediction of postoperative pulmonary complications using preoperative controlling nutritional status (CONUT) score in patients with resectable non-small cell lung cancer</title><author>Lee, Sang Chul ; Lee, Jin Gu ; Lee, Sang Hoon ; Kim, Eun Young ; Chang, Joon ; Kim, Dae Joon ; Paik, Hyo Chae ; Chung, Kyung Young ; Jung, Ji Ye</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-e0035edba6f657be2e23643124e744ad2455e2f3cdf4acf7991b830de5addcd33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>692/4028/546</topic><topic>692/4028/67/1612/1350</topic><topic>Aged</topic><topic>Carcinoma, Non-Small-Cell Lung - physiopathology</topic><topic>Carcinoma, Non-Small-Cell Lung - surgery</topic><topic>Female</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Lung cancer</topic><topic>Lung Neoplasms - physiopathology</topic><topic>Lung Neoplasms - surgery</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>multidisciplinary</topic><topic>Multivariate analysis</topic><topic>Non-small cell lung carcinoma</topic><topic>Nutrition assessment</topic><topic>Nutritional Status</topic><topic>Postoperative Complications - diagnosis</topic><topic>Prognosis</topic><topic>Retrospective Studies</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Small cell lung carcinoma</topic><topic>Underweight</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Sang Chul</creatorcontrib><creatorcontrib>Lee, Jin Gu</creatorcontrib><creatorcontrib>Lee, Sang Hoon</creatorcontrib><creatorcontrib>Kim, Eun Young</creatorcontrib><creatorcontrib>Chang, Joon</creatorcontrib><creatorcontrib>Kim, Dae Joon</creatorcontrib><creatorcontrib>Paik, Hyo Chae</creatorcontrib><creatorcontrib>Chung, Kyung Young</creatorcontrib><creatorcontrib>Jung, Ji Ye</creatorcontrib><collection>Springer Nature OA Free Journals</collection><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>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</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 Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Sang Chul</au><au>Lee, Jin Gu</au><au>Lee, Sang Hoon</au><au>Kim, Eun Young</au><au>Chang, Joon</au><au>Kim, Dae Joon</au><au>Paik, Hyo Chae</au><au>Chung, Kyung Young</au><au>Jung, Ji Ye</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of postoperative pulmonary complications using preoperative controlling nutritional status (CONUT) score in patients with resectable non-small cell lung cancer</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2020-07-24</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>12385</spage><epage>12385</epage><pages>12385-12385</pages><artnum>12385</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Postoperative pulmonary complications (PPCs) significantly impact surgical outcome. We investigated the predictive ability of controlling nutritional status (CONUT) for PPC after lung resection in patients with non-small cell lung cancer (NSCLC). We retrospectively reviewed data of 922 patients with NSCLC who underwent complete resection from January 2016–December 2017. We analyzed the frequency and characteristics of PPCs and compared receiver operating characteristic (ROC) curves of various prognostic models to predict PPCs. A CONUT score higher than 1 was considered as a high CONUT score. Total incidence of PPCs was 8.6% (n = 79). The proportion of pneumonia was significantly larger in the high CONUT group (
P
< 0.05). The CONUT consistently had a higher area under curve (AUC) value (0.64) than other prognostic models (prognostic nutritional index (PNI): AUC = 0.61, Glasgow prognostic score (GPS): AUC = 0.57, and assessment of respiratory risk in surgical patients in Catalonia (ARISCAT): AUC = 0.54). Multivariate analysis identified underweight [Odds ratio (OR) = 4.57,
P
= 0.002] and high CONUT score (OR = 1.91,
P
= 0.009) as independent PPCs prognostic factors. One-year mortality rate for high CONUT score was significantly higher (hazard ratio = 7.97; 95% confidence interval, 1.78–35.59). Preoperative CONUT score is an independent predictor of PPCs and 1-year mortality in patients with resectable NSCLC.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32709867</pmid><doi>10.1038/s41598-020-68929-9</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 692/4028/546 692/4028/67/1612/1350 Aged Carcinoma, Non-Small-Cell Lung - physiopathology Carcinoma, Non-Small-Cell Lung - surgery Female Humanities and Social Sciences Humans Lung cancer Lung Neoplasms - physiopathology Lung Neoplasms - surgery Male Middle Aged Mortality multidisciplinary Multivariate analysis Non-small cell lung carcinoma Nutrition assessment Nutritional Status Postoperative Complications - diagnosis Prognosis Retrospective Studies Science Science (multidisciplinary) Small cell lung carcinoma Underweight |
| title | Prediction of postoperative pulmonary complications using preoperative controlling nutritional status (CONUT) score in patients with resectable non-small cell lung cancer |
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