Evidence map›Paper›PMID 38172786›Full record

ArticleBMC cardiovascular disorders2024

In-hospital outcomes of transcatheter aortic valve replacement in patients with chronic and end-stage renal disease: a nationwide database study.

Marta Lorente-Ros, Subrat Das, Aaqib Malik, Francisco Jose Romeo, Jose S Aguilar-Gallardo, Maya Fakhoury, Amisha Patel

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Zero-Contrast TAVR: Inching Toward Safer TAVR in Patients With Kidney Disease.Journal of the Society for Cardiovascular Angiography & Interventions · 2024
    Article
  9. Racial disparities in TAVR outcomes in patients with cancer.Frontiers in cardiovascular medicine · 2024
    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

7 authors.

Marta Lorente-RosDepartment of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Morningside Hospital, New York, NY, USA. martalorenteros@gmail.com.
Subrat DasDepartment of Cardiology, New York Medical College, Westchester Medical Center, Valhalla, NY, USA.
Aaqib MalikDepartment of Cardiology, New York Medical College, Westchester Medical Center, Valhalla, NY, USA.
Francisco Jose RomeoDepartment of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Morningside Hospital, New York, NY, USA.
Jose S Aguilar-GallardoDepartment of Medicine, Icahn School of Medicine at Mount Sinai, Mount Sinai Morningside Hospital, New York, NY, USA.
Maya FakhouryDivision of Nephrology, Icahn School of Medicine at Mount Sinai, Mount Sinai Morningside Hospital, New York, NY, USA.
Amisha PatelDepartment of Cardiology, Icahn School of Medicine at Mount Sinai, Mount Sinai Morningside Hospital, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) and end-stage renal disease (ESRD) have been associated with worse outcomes after transcatheter aortic valve replacement (TAVR). With TAVR indications extending to a wider range of patient populations, it is important to understand the current implications of chronic renal insufficiency on clinical outcomes. We aim to determine the impact of CKD and ESRD on in-hospital outcomes after TAVR.

methodsWe queried the National Inpatient Sample for TAVR performed between 2016 and 2020 using International Classification of Diseases-10th Revision codes. We compared in-hospital mortality and clinical outcomes between three groups: normal renal function, CKD and ESRD. The association between CKD/ESRD and outcomes was tested with multivariable logistic regression analyses, using normal renal function as baseline.

resultsIn the five-year study period, 279,195 patients underwent TAVR (mean age 78.9 ± 8.5 years, 44.4% female). Of all patients, 67.1% had normal renal function, 29.2% had CKD, and 3.7% had ESRD. There were significant differences in age, sex, and prevalence of comorbidities across groups. In-hospital mortality was 1.3%. Compared to patients with normal renal function, patients with renal insufficiency had higher in-hospital mortality, with the highest risk found in patients with ESRD (adjusted odds ratio: 1.4 [95% confidence interval: 1.2-1.7] for CKD; adjusted odds ratio: 2.4 [95% confidence interval: 1.8-3.3] for ESRD). Patients with CKD or ESRD had a higher risk of cardiogenic shock, need for mechanical circulatory support, and vascular access complications, compared to those with normal renal function. In addition, patients with ESRD had a higher risk of cardiac arrest and periprocedural acute myocardial infarction. The incidence of conversion to open heart surgery was 0.3% and did not differ between groups. Post-procedural infectious and respiratory complications were more common among patients with CKD or ESRD.

conclusionPatients with CKD and ESRD are at higher risk of in-hospital mortality, cardiovascular, and non-cardiovascular complications after TAVR. The risk of complications is highest in patients with ESRD and does not result in more frequent conversion to open heart surgery. These results emphasize the importance of individualized patient selection for TAVR and procedural planning among patients with chronic renal insufficiency.

Indexed as

Aortic Valve StenosisKidney Failure, ChronicRenal Insufficiency, ChronicTranscatheter Aortic Valve ReplacementAgedAged, 80 and overAortic ValveFemaleHumansMaleRisk FactorsTreatment OutcomeChronic kidney diseaseEnd-stage renal diseaseRenal insufficiencyTranscatheter aortic valve replacement

Identifiers

PMID38172786
PMCPMC10765730

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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.