Evidence map›Paper›PMID 38885478›Full record

Observational studyAnesthesia and analgesia2024

Doppler-Derived Renal Functional Reserve in the Prediction of Postoperative Acute Kidney Injury in Patients Undergoing Robotic Surgery.

Gianluca Villa, Sara Samoni, Mirko Muzzi, Sergio Fabbri, Faeq Husain-Syed, Lorenzo Tofani, Marco Allinovi, Laura Paparella, Pietro Spatafora, Roberto Di Costanzo and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Anesthesia and analgesia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Gianluca VillaFrom the Department of Health Sciences, Section of Anesthesiology, and Intensive Care, University of Florence, Florence, Italy.
Sara SamoniUnit of Nephrology, Dialysis and Renal Transplant, Medical Department, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Mirko MuzziFrom the Department of Health Sciences, Section of Anesthesiology, and Intensive Care, University of Florence, Florence, Italy.
Sergio FabbriFrom the Department of Health Sciences, Section of Anesthesiology, and Intensive Care, University of Florence, Florence, Italy.
Faeq Husain-SyedDepartment of Internal Medicine II, Division of Nephrology, University Hospital Giessen and Marburg, Justus-Liebig-University Giessen, Giessen, Germany.
Lorenzo TofaniDepartment of statistics, informatics, applications, University of Florence, Florence, Italy.
Marco AllinoviUnit of Nephrology, Dialysis and Transplantation, Geriatric Department, Careggi Hospital, University of Florence, Florence, Italy.
Laura PaparellaDepartment of Anesthesia and Intensive Care, Azienda Ospedaliero Universitaria Careggi, Florence, Italy.
Pietro SpataforaDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Roberto Di CostanzoDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Zaccaria RicciFrom the Department of Health Sciences, Section of Anesthesiology, and Intensive Care, University of Florence, Florence, Italy.
Sergio SerniDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Stefano RomagnoliFrom the Department of Health Sciences, Section of Anesthesiology, and Intensive Care, University of Florence, Florence, Italy.

Funding

Philip and Irene Toll Gage Foundation
6 · The paper itself

Abstract

backgroundPostoperative acute kidney injury (PO-AKI) is a frequent complication after surgery. Various tools have been proposed to identify patients at high risk for AKI, including preoperative serum creatinine or estimated glomerular filtration rate (eGFR), urinary cell cycle arrest, and tubular damage biomarkers; however, none of these can appropriately assess AKI risk before surgery. Renal functional reserve (RFR) screened by the Doppler-derived intraparenchymal renal resistive index variation (IRRIV) test has been proposed to identify patients at risk for AKI before a kidney insult. IRRIV test has been developed in healthy individuals and previously investigated in cardiac surgery patients. This study aims to evaluate the value of the IRRIV test in identifying PO-AKI among patients undergoing robotic abdominal surgery in the Trendelenburg position for pelvic oncological disease.

methodsWe performed a prospective, double-blinded, observational study. Preoperative baseline renal function and RFR were assessed in 53 patients with baseline eGFR >60 mL/min/1.73 m2, undergoing robotic surgery in the Trendelenburg position for pelvic oncological disease. The capability of Doppler-derived RFR in predicting PO-AKI was investigated with the area under the receiver operating characteristic curve (ROC-AUC).

resultsApproximately 15.1% of patients developed AKI within the first 3 postoperative days. Thirty-one (58.5%) patients had a physiologic delta-RRI (ie, ≥0.05), while 22 (41.5%) patients did not. The ROC-AUC for PO-AKI was 0.85 (95% confidence interval [CI], 0.74-0.97; P = .007) for serum creatinine, 0.84 (95% CI, 0.71-0.96; P = .006) for eGFR, and 0.84 (95% CI, 0.78-0.91; P = .017) for delta-RRI. When combined with eGFR, the ROC-AUC for delta-RRI was 0.95 (95% CI, 0.9-1).

conclusionsOur findings show that the preoperative assessment of Doppler-derived RFR combined with baseline renal function improves the capability of identifying patients at high risk for PO-AKI with eGFR >60 mL/min/1.73 m2 after robotic abdominal surgery in Trendelenburg position for pelvic oncological disease.

Indexed as

Acute Kidney InjuryGlomerular Filtration RateKidneyPredictive Value of TestsRobotic Surgical ProceduresUltrasonography, DopplerAgedDouble-Blind MethodFemaleHead-Down TiltHumansMaleMiddle AgedPostoperative ComplicationsProspective StudiesRisk Assessment

Identifiers

PMID38885478
PMCPMC11155286

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.