Search results for "mortality prediction"

showing 4 items of 4 documents

Predicting patient outcome from acute renal failure comparing three general severity of illness scoring systems

2000

Predicting patient outcome from acute renal failure comparing three general severity of illness scoring systems.BackgroundA major problem of studies on acute renal failure (ARF) arises from a lack of prognostic tools able to express the medical complexity of the syndrome adequately and to predict patient outcome accurately. Our study was thus aimed at evaluating the predictive ability of three general prognostic models [version II of the Acute Physiology and Chronic Health Evaluation (APACHE II), version II of the Simplified Acute Physiology Score (SAPS II), and version II of the Mortality Probability Model at 24 hours (MPM24 II)] in a prospective, single-center cohort of patients with ARF …

Malemedicine.medical_specialtymedicine.medical_treatmentscoring systemsRisk AssessmentInterquartile rangePredictive Value of TestsInternal medicineSeverity of illnessOutcome Assessment Health CaremedicineHumansseverity of illness indexProspective StudiesSimplified Acute Physiology ScoreProspective cohort studymortality predictionAPACHEAgedAged 80 and overAPACHE IIbusiness.industryKidney Tubular Necrosis AcuteMiddle AgedSurgerycritical careacute tubular necrosisSAPS IINephrologyPredictive value of testsFemaleHemodialysisprognosisbusinessKidney International
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Frailty Scales for Prognosis Assessment of Older Adult Patients after Acute Myocardial Infarction

2021

We aimed to compare the prognostic value of two different measures, the Fried’s Frailty Scale (FFS) and the Clinical Frailty Scale (CFS), following myocardial infarction (MI). We included 150 patients ≥ 70 years admitted from AMI. Frailty was evaluated on the day before discharge. The primary endpoint was number of days alive and out of hospital (DAOH) during the first 800 days. Secondary endpoints were mortality and a composite of mortality and reinfarction. Frailty was diagnosed in 58% and 34% of patients using the FFS and CFS scales, respectively. During the first 800 days 34 deaths and 137 admissions occurred. The number of DAOH decreased significantly with increasing scores of both FFS…

Out of hospitalmedicine.medical_specialtyMultivariate analysisAdult patientsbusiness.industryRacute myocardial infarctionGeneral Medicinefrailtymedicine.diseaseArticleFried’s frailty scoreInternal medicinemedicineClinical endpointClinical Frailty ScaleMedicineMyocardial infarctionMortality predictionbusinessfrailty; acute myocardial infarction; Fried’s frailty score; Clinical Frailty Scalehealth care economics and organizationsJournal of Clinical Medicine
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Less Is More: Different Weight of the ATS/IDSA'07 Minor Criteria on Mortality Prediction in Severe Pneumonia (SCAP).

2009

Pneumoniamedicine.medical_specialtybusiness.industryInternal medicinemedicineMortality predictionmedicine.diseasebusinessA47. COMMUNITY ACQUIRED PNEUMONIA AND HEALTHCARE ASSOCIATED PNEUMONIA
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Stress cardiac magnetic resonance for mortality prediction and decision-making: registry of 2496 elderly patients with chronic coronary syndrome

2022

Abstract Introduction and objectives The management of elderly patients with chronic coronary syndrome (CCS) is challenging. We explored the prognostic value and usefulness for decision-making of ischemic burden determined by vasodilator stress cardiac magnetic resonance (CMR) imaging in elderly patients with known or suspected CCS. Methods The study group comprised 2496 patients older than 70 years who underwent vasodilator stress CMR for known or suspected CCS. The ischemic burden (number of segments with stress-induced perfusion deficit) was calculated following the 17-segment model. Subsequently, we retrospectively analyzed its association with all-cause mortality and the effect of CMR-…

medicine.medical_specialtyMagnetic Resonance SpectroscopyVasodilator stressVasodilator Agentsmedicine.medical_treatmentIschemiaMagnetic Resonance Imaging CineCoronary Artery DiseaseIndependent predictorRevascularizationPredictive Value of TestsRisk FactorsInternal medicinemedicineHumansIn patientRegistriesMortality predictionAgedRetrospective Studiesbusiness.industryGeneral MedicinePrognosismedicine.diseaseMagnetic Resonance ImagingCardiologyFemalebusinessCardiac magnetic resonancePerfusionRevista Española de Cardiología (English Edition)
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