Near-term prediction of sudden cardiac death in older hemodialysis patients using electronic health records

scientific article published on 31 October 2013

Near-term prediction of sudden cardiac death in older hemodialysis patients using electronic health records is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.2215/CJN.03050313
P932PMC publication ID3878696
P698PubMed publication ID24178968

P50authorThemistocles L AssimesQ37629441
Wolfgang WinkelmayerQ89531312
P2093author name stringBenjamin A Goldstein
Tara I Chang
Aya A Mitani
P2860cites workEvaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyondQ29614697
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approachQ29614698
Sudden cardiac death prediction and prevention: report from a National Heart, Lung, and Blood Institute and Heart Rhythm Society WorkshopQ30433543
Towards the prevention of acute lung injury: a population based cohort study protocolQ33565043
Intradialytic hypertension: a less-recognized cardiovascular complication of hemodialysisQ33695671
Real-time prognosis of ICU physiological data streamsQ33752948
Identifying patients at high risk of a cardiovascular event in the near future: current status and future directions: report of a national heart, lung, and blood institute working groupQ34002717
Comparison of causes of death using HEMO Study and HCFA end-stage renal disease death notification classification systems. The National Institutes of Health-funded Hemodialysis. Health Care Financing AdministrationQ34482868
Association of intradialytic blood pressure changes with hospitalization and mortality rates in prevalent ESRD patientsQ35146422
Random forests for genetic association studies.Q35158129
Improving ascertainment of sudden cardiac death in patients with end stage renal diseaseQ35692484
Predictors of sudden cardiac death: a competing risk approach in the hemodialysis studyQ35692508
Modifiable practices associated with sudden death among hemodialysis patients in the Dialysis Outcomes and Practice Patterns StudyQ35917414
Kidney-heart interactions: epidemiology, pathogenesis, and treatmentQ36910278
Sudden cardiac death in chronic kidney disease: epidemiology and preventionQ37833896
Sudden cardiac arrest and sudden cardiac death on dialysis: Epidemiology, evaluation, treatment, and preventionQ37957416
Risk factors for non-fatal myocardial infarction and cardiac death in incident dialysis patientsQ44916017
Cardiac arrest and sudden death in dialysis unitsQ46132803
Implementation of a real-time computerized sepsis alert in nonintensive care unit patients.Q50653149
Electronic medical records: a survey of use and satisfaction in small dialysis organizations.Q54178473
Sudden cardiac death and acute myocardial infarction in dialysis patients: perspectives of a cardiologistQ64111742
Characteristics of sudden death in hemodialysis patientsQ83283477
Intradialytic hypertension: it is time to actQ84098078
The use and misuse of serum albumin as a nutritional marker in kidney diseaseQ84824438
Modifiable risk factors associated with sudden cardiac arrest within hemodialysis clinicsQ84974042
P4510describes a project that useselectronic health recordsQ10871684
P433issue1
P921main subjectelectronic health recordsQ10871684
hemodialysis patientQ126109077
P304page(s)82-91
P577publication date2013-10-31
P1433published inClinical Journal of the American Society of NephrologyQ15757929
P1476titleNear-term prediction of sudden cardiac death in older hemodialysis patients using electronic health records
P478volume9

Reverse relations

cites work (P2860)
Q35929287Association of NTproBNP and cTnI with outpatient sudden cardiac death in hemodialysis patients: the Choices for Healthy Outcomes in Caring for ESRD (CHOICE) study
Q35778739Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records
Q89677582Machine learning in nephrology: scratching the surface
Q31096872Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
Q30249054Pragmatic Trials in Maintenance Dialysis: Perspectives from the Kidney Health Initiative
Q31111370Predicting mortality over different time horizons: which data elements are needed?

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