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dc.contributor.adviserPorque, Gelbert Jan S.
dc.contributor.authorJalandoni, Patrick Joseph B.
dc.coverage.spatialIloiloen_US
dc.date.accessioned2021-03-01T00:12:25Z
dc.date.available2021-03-01T00:12:25Z
dc.date.issued2019
dc.identifier.citationJalandoni, P. J. B. (2019). Predictors of clinical outcomes of post-cardiovascular intervention patients in a selected hospital in Iloilo City (Unpublished Master's thesis). Central Philippine University, Jaro, Iloilo City.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12852/511
dc.descriptionAbstract onlyen_US
dc.description.abstractThe study primarily aimed to determine the predictors of clinical outcomes of post cardiovascular intervention patients in a selected hospital in Iloilo City; describing patient, cardiac and procedure related factors, clinical outcomes, EuroSCORE II and determining significant correlations and differences among variables. A single site, retrospective-relational type of study with a comprehensive chart review was used as methods. The total sample size was 173 charts from January 2017 to December 2018 that were reviewed and analyzed. Heart attacks can happen between 30 - 90 years old where higher chances occur by the age of 60. PCI clinical outcomes include LOS of 3-5 days, readmission rate and mortality rate of 5 percent. Severe mortality, active endocarditis, insulin therapy, presence of comorbidities (HCVD and CAD) were correlated with increasing PCI bed days. Higher NYHA classification increases readmission incidences, while sex and NYHA classifications were factors contributory to mortality. Coronary artery disease prolongs PCI hospitalization days five times more than those who do not have the disease. Unlike its superior predictive mortality risk discrimination to open-heart surgeries, EuroSCORE II may not be applicable in predicting mortality outcomes of percutaneous coronary intervention - predicted PCI mortalities have been overestimated. Despite substantial specificity accuracy, calibration and discriminating power, binary logistic regression model applied to PCI requires to be clinically assessed, correlated and with sensitivity errors being highly considered for application to PCI.en_US
dc.format.extentxi, 71 leavesen_US
dc.language.isoenen_US
dc.subject.ddcGSL Theses 610.73072 J216en_US
dc.subject.lcshCardiac arresten_US
dc.subject.lcshMyocardial infarctionen_US
dc.subject.lcshCardiovascular systemen_US
dc.subject.lcshCardiovascular system--Diseases--Treatmenten_US
dc.subject.lcshCardiovascular system--Diseasesen_US
dc.subject.lcshCoronary heart diseaseen_US
dc.subject.lcshPhilippines--Iloiloen_US
dc.subject.lcshPostoperative careen_US
dc.subject.meshCardiovascular Diseasesen_US
dc.subject.meshMyocardial Infarctionen_US
dc.subject.meshPostoperative Careen_US
dc.titlePredictors of clinical outcomes of post-cardiovascular intervention patients in a selected hospital in Iloilo Cityen_US
dc.typeThesisen_US
dc.description.bibliographicalreferencesIncludes bibliographical referencesen_US
dc.contributor.chairAlibogha, Salex E.
dc.contributor.committeememberCanaman, Jessica B.
dc.contributor.committeememberSale, Melba C.
dc.contributor.committeememberBaldon, Charlie D.
dc.contributor.committeememberCatoto, James C.
dc.contributor.departmentSchool of Graduate Studiesen_US
dc.description.degreeMaster of Arts in Nursingen_US


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