Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0182543
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dc.titlePrevalence of preoperative anemia, abnormal mean corpuscular volume and red cell distribution width among surgical patients in Singapore, and their influence on one year mortality
dc.contributor.authorSim Y.E.
dc.contributor.authorWee H.E.
dc.contributor.authorAng A.L.
dc.contributor.authorRanjakunalan N.
dc.contributor.authorOng B.C.
dc.contributor.authorAbdullah H.R.
dc.date.accessioned2020-03-19T09:00:53Z
dc.date.available2020-03-19T09:00:53Z
dc.date.issued2017
dc.identifier.citationSim Y.E., Wee H.E., Ang A.L., Ranjakunalan N., Ong B.C., Abdullah H.R. (2017). Prevalence of preoperative anemia, abnormal mean corpuscular volume and red cell distribution width among surgical patients in Singapore, and their influence on one year mortality. PLoS ONE 12 (8) : e0182543. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0182543
dc.identifier.issn1932-6203
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/165782
dc.description.abstractIntroduction: Preoperative anemia and high red cell distribution width (RDW) are associated with higher perioperative mortality. Conditions with high RDW levels can be categorized by mean corpuscular volume (MCV). The relationship between RDW, anemia and MCV may explain causality between high RDW levels and outcomes. We aim to establish the prevalence of preoperative anemia and distribution of RDW and MCV among pre-surgical patients in Singapore. In addition, we aim to investigate the association between preoperative anemia, RDW and MCV levels with one-year mortality after surgery. Methods: Retrospective review of 97,443 patients aged > = 18 years who underwent cardiac and noncardiac surgeries under anesthesia between January 2012 and October 2016. Patient demographics, comorbidities, priority of surgery, surgical risk classification, perioperative transfusion, preoperative hemoglobin, RDW, MCV were collected. WHO anemia classification was used. High RDW was defined as >15.7%. Multivariate regression analyses were done to identify independent risk factors for mild or moderate/severe anemia and high RDW (>15.7). Multivariate cox regression analysis was done to determine the effect of preoperative anemia, abnormal RDW and MCV values on 1-year mortality. Results: Our cohort comprised of 94.7% non-cardiac and 5.3% cardiac surgeries. 88.7% of patients achieved 1 year follow-up. Anemia prevalence was 27.8%—mild anemia 15.3%, moderate anemia 12.0% and severe anemia 0.5%. One-year mortality was 3.5%. Anemia increased with age in males, while in females, anemia was more prevalent between 18–49 years and > = 70 years. Most anemics were normocytic. Normocytosis and macrocytosis increased with age, while microcytosis decreased with age. Older age, male gender, higher ASA-PS score, anemia (mild- aHR 1.98; moderate/severe aHR 2.86), macrocytosis (aHR 1.47), high RDW (aHR 2.34), moderate-high risk surgery and emergency surgery were associated with higher hazard ratios of one-year mortality. Discussion: Preoperative anemia is common. Anemia, macrocytosis and high RDW increases one year mortality. © 2017 Sim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.publisherPublic Library of Science
dc.sourceUnpaywall 20200320
dc.subjectadult
dc.subjectage
dc.subjectaged
dc.subjectAmerican Society of Anesthesiologists Physical Status score
dc.subjectanemia
dc.subjectanesthesia
dc.subjectArticle
dc.subjectblood transfusion
dc.subjectcohort analysis
dc.subjectcomorbidity
dc.subjectcontrolled study
dc.subjectdemography
dc.subjectdiscocyte
dc.subjectdisease classification
dc.subjecterythrocyte parameters
dc.subjectfemale
dc.subjectfollow up
dc.subjecthealth hazard
dc.subjectheart surgery
dc.subjecthigh risk patient
dc.subjecthuman
dc.subjectmajor clinical study
dc.subjectmale
dc.subjectmean corpuscular volume
dc.subjectmegalocytosis
dc.subjectmiddle aged
dc.subjectmortality
dc.subjectnormocytosis
dc.subjectperioperative mortality
dc.subjectpreoperative anemia
dc.subjectpreoperative complication
dc.subjectprevalence
dc.subjectrating scale
dc.subjectred cell distribution width
dc.subjectretrospective study
dc.subjectscoring system
dc.subjectsex difference
dc.subjectSingapore
dc.subjectsurgical patient
dc.subjectsurgical risk
dc.subjectsurgical technique
dc.subjectadolescent
dc.subjectanemia
dc.subjectblood
dc.subjecterythrocyte disorder
dc.subjectpreoperative care
dc.subjectprevalence
dc.subjectprognosis
dc.subjectsurvival rate
dc.subjectyoung adult
dc.subjecthemoglobin
dc.subjectAdolescent
dc.subjectAdult
dc.subjectAged
dc.subjectAnemia
dc.subjectErythrocyte Indices
dc.subjectErythrocytes, Abnormal
dc.subjectFemale
dc.subjectHemoglobins
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle Aged
dc.subjectPreoperative Care
dc.subjectPrevalence
dc.subjectPrognosis
dc.subjectRetrospective Studies
dc.subjectSingapore
dc.subjectSurvival Rate
dc.subjectYoung Adult
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1371/journal.pone.0182543
dc.description.sourcetitlePLoS ONE
dc.description.volume12
dc.description.issue8
dc.description.pagee0182543
dc.published.statePublished
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