ArticleIntensive care medicine2018
Preoperative right heart hemodynamics predict postoperative acute kidney injury after heart transplantation.
Article in Intensive care medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 69 citations in OpenAlex.
- Invasive Assessment of Right Ventricular Dysfunction Predicts Periprocedural Outcomes in Patients Undergoing Unplanned Ventricular Tachycardia Ablation.Journal of cardiovascular electrophysiology · 2026Article
- Chronic kidney disease following left ventricular assist device implantation: contemporary insights and future perspectives.Heart failure reviews · 2025Review
- Machine learning methods to predict transvalvular gradient waveform post-transcatheter aortic valve replacement using preprocedural echocardiogram.The Journal of thoracic and cardiovascular surgery · 2025Article
- The pulmonary artery pulsatility index in patients with severe aortic stenosis undergoing valve replacement.ESC heart failure · 2025Article
- Construction and validation of prognostic models for acute kidney disease and mortality in patients at risk of malnutrition: an interpretable machine learning approach.Clinical kidney journal · 2025Article
- A contemporary simple risk score for prediction of severe acute kidney injury after heart transplantation.ESC heart failure · 2025Article
- Associations of metabolic status with all-cause mortality among individuals with osteoarthritis: A prospective cohort study.Journal of orthopaedic translation · 2025Article
- Article
- Association between pulmonary artery pulsatility and mortality after implantation of left ventricular assist device.ESC heart failure · 2024Article
- Severe Acute Kidney Injury Postheart Transplantation: Analysis of Risk Factors.Transplantation direct · 2024Article
- Pulmonary artery pulsatility index predicts mechanical circulatory support following heart transplantation.JHLT open · 2024Article
- The Association of the Pulmonary Artery Pulsatility Index and Right Ventricular Function after Cardiac Surgery.Critical care research and practice · 2024Article
- Machine learning-based risk prediction of acute kidney disease and hospital mortality in older patients.Frontiers in medicine · 2024Article
- Obesity Modifies Clinical Outcomes of Right Ventricular Dysfunction.Circulation. Heart failure · 2023Article
- Pre-operative pulmonary artery pulsatility index does not predict mortality post-cardiac transplantation.ESC heart failure · 2023Article
- Hemodynamic indices in pulmonary hypertension: a narrative review.Cardiovascular diagnosis and therapy · 2022Review
- Machine learning to predict post-operative acute kidney injury stage 3 after heart transplantation.BMC cardiovascular disorders · 2022Article
- Prognosis of Advanced Heart Failure Patients according to Their Hemodynamic Profile Based on the Modified Forrester Classification.Journal of clinical medicine · 2022Article
- Predicting Post-Heart Transplant Composite Renal Outcome Risk in Adults: A Machine Learning Decision Tool.Kidney international reports · 2022Article
- Association of Pulmonary Artery Pulsatility Index With Adverse Cardiovascular Events Across a Hospital-Based Sample.Circulation. Heart failure · 2022Article
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Authors and funding
11 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAcute kidney injury (AKI) frequently occurs after heart transplantation (HTx), but its relation to preoperative right heart hemodynamic (RHH) parameters remains unknown. Therefore, we aimed to determine their predictive properties for postoperative AKI severity within 30 days after HTx.
methodsFrom 1984 to 2016, all consecutive HTx recipients (n = 595) in our tertiary referral center were included and analyzed for the occurrence of postoperative AKI staged by the kidney disease improving global outcome criteria. The effects of preoperative RHH parameters on postoperative AKI were calculated using logistic regression, and predictive accuracy was assessed using integrated discrimination improvement (IDI), net reclassification improvement (NRI), and area under the receiver operating characteristic curves (AUC).
resultsPostoperative AKI occurred in 430 (72%) patients including 278 (47%) stage 1, 66 (11%) stage 2, and 86 (14%) stage 3 cases. Renal replacement therapy (RRT) was administered in 41 (7%) patients. Patients with higher AKI stages had also higher baseline right atrial pressure (RAP; median 7, 7, 8, and in RRT 11 mmHg, p trend = 0.021), RAP-to-pulmonary capillary wedge pressure ratio (median 0.37, 0.36, 0.40, 0.47, p trend = 0.009), and lower pulmonary artery pulsatility index (PAPi) values (median 2.83, 3.17, 2.54, 2.31, p trend = 0.012). Higher RAP and lower PAPi values independently predicted AKI severity [adjusted odds ratio (OR) per doubling of RAP 1.16 (1.02-1.32), p = 0.029; of PAPi 0.85 (0.75-0.96), p = 0.008]. Based on IDI, NRI, and delta AUC, inclusion of these parameters improved the models' predictive accuracy.
conclusionsPreoperative PAPi and RAP strongly predict the development of AKI early after HTx and can be used as early AKI predictors.
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