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Medical resource utilization patterns and mortality rates according to age among critically ill patients admitted to a medical intensive care unit

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dc.contributor.author박유랑-
dc.date.accessioned2019-09-20T07:35:41Z-
dc.date.available2019-09-20T07:35:41Z-
dc.date.issued2019-
dc.identifier.issn0025-7974-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/170967-
dc.description.abstractThere is ongoing controversy about how to address the growing demand for intensive care for critically ill elderly patients. We investigated resource utilization patterns and mortality rates according to age among critically ill patients.We retrospectively analyzed the medical records of patients admitted to a medical intensive care unit (ICU) in a tertiary referral teaching hospital between July 2006 and June 2015. Patients were categorized into non-elderly (age <65 years, n = 4140), young-elderly (age 65-74 years, n = 2306), and old-elderly (age ≥75 years, n = 1508) groups.Among 7954 admissions, the mean age was 61.5 years, and 5061 (63.6%) were of male patients. The proportion of comorbidities increased with age (64.6% in the non-elderly vs 81.4% in the young-elderly vs 82.8% in the old-elderly, P < .001 and P for trend <.001), whereas the baseline Sequential Organ Failure Assessment (SOFA) score decreased with age (8.1 in the non-elderly vs 7.2 in the young-elderly vs 7.2 in the old-elderly, P < .001, R = -.092 and P for trend <.001). Utilization rates of mechanical ventilation (48.6% in the non-elderly vs 48.3% in the young-elderly vs 45.5% in the old-elderly, P = .11) and renal replacement therapy (27.5% in the non-elderly vs 25.5% in the young-elderly vs 24.8% in the old-elderly, P = .069) were comparable between the age groups. The 28-day ICU mortality rates were lower in the young-elderly and the old-elderly groups than in the non-elderly group (35.6% in the non-elderly vs 34.2% in the young-elderly, P = .011; and vs 32.6% in the old-elderly, P = .002).A substantial number of critically ill elderly patients used medical resources as non-elderly patients and showed favorable clinical outcomes. Our results support that underlying medical conditions rather than age per se need to be considered for determining intensive care.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherLippincott Williams & Wilkins-
dc.relation.isPartOfMedicine-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAdult-
dc.subject.MESHAge Factors-
dc.subject.MESHAged-
dc.subject.MESHAged, 80 and over-
dc.subject.MESHComorbidity-
dc.subject.MESHCritical Illness/therapy*-
dc.subject.MESHFemale-
dc.subject.MESHHealth Resources/statistics & numerical data*-
dc.subject.MESHHospital Mortality/trends-
dc.subject.MESHHospitals, Teaching/statistics & numerical data-
dc.subject.MESHHumans-
dc.subject.MESHIntensive Care Units/statistics & numerical data*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHOrgan Dysfunction Scores-
dc.subject.MESHRenal Replacement Therapy/statistics & numerical data-
dc.subject.MESHRepublic of Korea-
dc.subject.MESHRespiration, Artificial/statistics & numerical data-
dc.subject.MESHRetrospective Studies-
dc.titleMedical resource utilization patterns and mortality rates according to age among critically ill patients admitted to a medical intensive care unit-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Biomedical Systems Informatics (의생명시스템정보학교실)-
dc.contributor.googleauthorOh, Dong Kyu-
dc.contributor.googleauthorNa, Wonjun-
dc.contributor.googleauthorPark, Yu Rang-
dc.contributor.googleauthorHong, Sang-Bum-
dc.contributor.googleauthorLim, Chae-Man-
dc.contributor.googleauthorKoh, Younsuck-
dc.contributor.googleauthorHuh, Jin-Won-
dc.identifier.doi10.1097/MD.0000000000015835-
dc.contributor.localIdA05624-
dc.relation.journalcodeJ02214-
dc.identifier.eissn1536-5964-
dc.identifier.pmid31145326-
dc.contributor.alternativeNamePark, Yu Rang-
dc.contributor.affiliatedAuthor박유랑-
dc.citation.volume98-
dc.citation.number22-
dc.citation.startPagee15835-
dc.identifier.bibliographicCitationMedicine, Vol.98(22) : e15835, 2019-
dc.identifier.rimsid64169-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers

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