scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1100381892 |
P356 | DOI | 10.1186/S40364-018-0117-Z |
P932 | PMC publication ID | 5767010 |
P698 | PubMed publication ID | 29344362 |
P50 | author | Richard P. Whitlock | Q23771140 |
Kathleen F. Kerr | Q76350439 | ||
Francis Wilson | Q81057081 | ||
Amit X Garg | Q84841135 | ||
Heather Thiessen-Philbrook | Q84842885 | ||
Michael G Shlipak | Q87224063 | ||
Chirag R Parikh | Q88232060 | ||
P2093 | author name string | Steven G Coca | |
Peter Kavsak | |||
Allison Meisner | |||
P2860 | cites work | N-terminal fragment of the prohormone brain-type natriuretic peptide (NT-proBNP), cardiovascular events, and mortality in patients with stable coronary heart disease | Q24607043 |
Predicting acute kidney injury after cardiac surgery: a systematic review | Q26849308 | ||
AKI associated with cardiac surgery | Q27023234 | ||
Postoperative biomarkers predict acute kidney injury and poor outcomes after adult cardiac surgery | Q28740455 | ||
Postoperative biomarkers predict acute kidney injury and poor outcomes after pediatric cardiac surgery | Q28740457 | ||
Potential use of biomarkers in acute kidney injury: report and summary of recommendations from the 10th Acute Dialysis Quality Initiative consensus conference | Q30410183 | ||
Adjudication of etiology of acute kidney injury: experience from the TRIBE-AKI multi-center study | Q33880994 | ||
Preoperative serum h-FABP concentration is associated with postoperative incidence of acute kidney injury in patients undergoing cardiac surgery | Q34217320 | ||
Serum levels of N-terminal proB-type natriuretic peptide in mechanically ventilated critically ill patients--relation to tidal volume size and development of acute respiratory distress syndrome | Q34803579 | ||
RiGoR: reporting guidelines to address common sources of bias in risk model development | Q35033342 | ||
Cardiac biomarkers and acute kidney injury after cardiac surgery | Q35232523 | ||
Preoperative serum brain natriuretic peptide and risk of acute kidney injury after cardiac surgery | Q35854197 | ||
Perioperative heart-type fatty acid binding protein is associated with acute kidney injury after cardiac surgery | Q36016656 | ||
False-Positive Rate of AKI Using Consensus Creatinine-Based Criteria | Q36123631 | ||
Plasma IL-6 and IL-10 Concentrations Predict AKI and Long-Term Mortality in Adults after Cardiac Surgery | Q36314913 | ||
Association of postoperative proteinuria with AKI after cardiac surgery among patients at high risk | Q36371118 | ||
Serum cystatin C- versus creatinine-based definitions of acute kidney injury following cardiac surgery: a prospective cohort study | Q36392738 | ||
The use of a cytokine panel to define the long-term risk stratification of heart failure/death in patients presenting with chest pain to the emergency department. | Q36601675 | ||
Methodological issues in current practice may lead to bias in the development of biomarker combinations for predicting acute kidney injury. | Q36723313 | ||
Urinary cystatin C and acute kidney injury after cardiac surgery | Q36770327 | ||
Performance of kidney injury molecule-1 and liver fatty acid-binding protein and combined biomarkers of AKI after cardiac surgery | Q36980371 | ||
Enrichment of Clinical Study Populations | Q37800007 | ||
Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors | Q39605793 | ||
Impact of cardiopulmonary bypass management on postcardiac surgery renal function | Q40617073 | ||
Accommodating Covariates in ROC Analysis | Q41853297 | ||
Acute renal failure after cardiac surgery: evaluation of the RIFLE classification | Q46904919 | ||
Markers of renal function and acute kidney injury in acute heart failure: definitions and impact on outcomes of the cardiorenal syndrome. | Q51544991 | ||
Elevated plasma concentrations of IL-6 and elevated APACHE II score predict acute kidney injury in patients with severe sepsis. | Q51741631 | ||
Cystatin C, NT-proBNP, and inflammatory markers in acute heart failure: insights into the cardiorenal syndrome | Q57543438 | ||
Variable selection and Bayesian model averaging in case-control studies | Q60373535 | ||
P4510 | describes a project that uses | Bayes' theorem | Q182505 |
P921 | main subject | biomarker | Q864574 |
acute kidney injury | Q424337 | ||
P304 | page(s) | 3 | |
P577 | publication date | 2018-01-12 | |
P1433 | published in | Biomarker Research | Q27724844 |
P1476 | title | Development of biomarker combinations for postoperative acute kidney injury via Bayesian model selection in a multicenter cohort study | |
P478 | volume | 6 |
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