A Simple Novel Model to Predict Hospital Mortality, Surgical Site Infection, and Pneumonia in Elderly Patients Undergoing Operation

Background/Aims: Predicting models of operative morbidity and mortality in the geriatric population are important in the prevention of adverse surgical outcomes. Methods: A retrospective review of medical records was performed for patients over 80 years of age who underwent gastrointestinal surgery...

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Veröffentlicht in:Digestive surgery 2010-08, Vol.27 (3), p.224-231
Hauptverfasser: Huang, Ting-Shuo, Hu, Fu-Chang, Fan, Chung-Wei, Lee, Chun-Hui, Jwo, Shyh-Chuan, Chen, Huang-Yang
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container_end_page 231
container_issue 3
container_start_page 224
container_title Digestive surgery
container_volume 27
creator Huang, Ting-Shuo
Hu, Fu-Chang
Fan, Chung-Wei
Lee, Chun-Hui
Jwo, Shyh-Chuan
Chen, Huang-Yang
description Background/Aims: Predicting models of operative morbidity and mortality in the geriatric population are important in the prevention of adverse surgical outcomes. Methods: A retrospective review of medical records was performed for patients over 80 years of age who underwent gastrointestinal surgery from 1998 to 2008. Results: 215 patients were identified with a mean age of 83.7 years. Overall morbidity and mortality rates were 48.8 and 14.4%, respectively. Multivariate logistic regression analysis revealed that serum albumin levels [odds ratio (OR) = 0.367, p = 0.0267], postoperative pneumonia (OR = 3.471, p = 0.0101), hollow organ perforation or anastomosis combined with leakage (OR = 7.600, p = 0.0126), and preoperative systemic inflammatory response syndrome (OR = 3.186, p = 0.0323) were significant predictors of hospital mortality. Moreover, albumin (OR = 0.270, p = 0.0002) and physical disability (OR = 3.802, p = 0.0009) were significant predictors of postoperative pneumonia, and albumin (OR = 0.491, p = 0.0212) and enterotomy (OR = 3.335, p = 0.0208) were significant predictors of surgical site infections. Conclusion: This study provides novel predicting models to identify the elderly surgical patients at high risk, who should receive more intensive preventive and perioperative care.
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Methods: A retrospective review of medical records was performed for patients over 80 years of age who underwent gastrointestinal surgery from 1998 to 2008. Results: 215 patients were identified with a mean age of 83.7 years. Overall morbidity and mortality rates were 48.8 and 14.4%, respectively. Multivariate logistic regression analysis revealed that serum albumin levels [odds ratio (OR) = 0.367, p = 0.0267], postoperative pneumonia (OR = 3.471, p = 0.0101), hollow organ perforation or anastomosis combined with leakage (OR = 7.600, p = 0.0126), and preoperative systemic inflammatory response syndrome (OR = 3.186, p = 0.0323) were significant predictors of hospital mortality. Moreover, albumin (OR = 0.270, p = 0.0002) and physical disability (OR = 3.802, p = 0.0009) were significant predictors of postoperative pneumonia, and albumin (OR = 0.491, p = 0.0212) and enterotomy (OR = 3.335, p = 0.0208) were significant predictors of surgical site infections. Conclusion: This study provides novel predicting models to identify the elderly surgical patients at high risk, who should receive more intensive preventive and perioperative care.</description><identifier>ISSN: 0253-4886</identifier><identifier>EISSN: 1421-9883</identifier><identifier>DOI: 10.1159/000274485</identifier><identifier>PMID: 20571270</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Abdomen - surgery ; Aged, 80 and over ; Anastomotic Leak - mortality ; Digestive System Surgical Procedures - mortality ; Disabled Persons ; Female ; Humans ; Inpatients ; Male ; Models, Statistical ; Original Paper ; Pneumonia - mortality ; Postoperative Complications - mortality ; Regression Analysis ; Retrospective Studies ; Serum Albumin - analysis ; Systemic Inflammatory Response Syndrome - mortality</subject><ispartof>Digestive surgery, 2010-08, Vol.27 (3), p.224-231</ispartof><rights>2010 S. Karger AG, Basel</rights><rights>Copyright (c) 2010 S. Karger AG, Basel</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c332t-c613222bee98cb7dcc5b9b2cb9bdfe502e8c20ec2e41f9c13b180fc4d7bf1e583</citedby><cites>FETCH-LOGICAL-c332t-c613222bee98cb7dcc5b9b2cb9bdfe502e8c20ec2e41f9c13b180fc4d7bf1e583</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2427,27915,27916</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20571270$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Huang, Ting-Shuo</creatorcontrib><creatorcontrib>Hu, Fu-Chang</creatorcontrib><creatorcontrib>Fan, Chung-Wei</creatorcontrib><creatorcontrib>Lee, Chun-Hui</creatorcontrib><creatorcontrib>Jwo, Shyh-Chuan</creatorcontrib><creatorcontrib>Chen, Huang-Yang</creatorcontrib><title>A Simple Novel Model to Predict Hospital Mortality, Surgical Site Infection, and Pneumonia in Elderly Patients Undergoing Operation</title><title>Digestive surgery</title><addtitle>Dig Surg</addtitle><description>Background/Aims: Predicting models of operative morbidity and mortality in the geriatric population are important in the prevention of adverse surgical outcomes. 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Conclusion: This study provides novel predicting models to identify the elderly surgical patients at high risk, who should receive more intensive preventive and perioperative care.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>20571270</pmid><doi>10.1159/000274485</doi><tpages>8</tpages></addata></record>
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subjects Abdomen - surgery
Aged, 80 and over
Anastomotic Leak - mortality
Digestive System Surgical Procedures - mortality
Disabled Persons
Female
Humans
Inpatients
Male
Models, Statistical
Original Paper
Pneumonia - mortality
Postoperative Complications - mortality
Regression Analysis
Retrospective Studies
Serum Albumin - analysis
Systemic Inflammatory Response Syndrome - mortality
title A Simple Novel Model to Predict Hospital Mortality, Surgical Site Infection, and Pneumonia in Elderly Patients Undergoing Operation
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