ArticleTherapeutics and clinical risk management2014
Is hypoalbuminemia a prognostic risk factor for contrast-induced nephropathy in peritoneal dialysis patients?
Article in Therapeutics and clinical risk management, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Association of random glucose to albumin ratio with post-contrast acute kidney injury and clinical outcomes in patients with ST-elevation myocardial infarction.Frontiers in endocrinology · 2024Article
- Serum C-reactive protein to albumin ratio and mortality associated with peritoneal dialysis.Renal failure · 2020Article
- Article
- Population attributable risk estimates of risk factors for contrast-induced acute kidney injury following coronary angiography: a cohort study.BMC cardiovascular disorders · 2020Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveResidual renal function (RRF) is an important predictor of outcome in peritoneal dialysis (PD) patients. Hypoalbuminemia was found to be an independent risk factor for the development of acute kidney injury. We investigated the possibility of an association between serum albumin levels and the development of iodine contrast media-induced nephropathy (CIN) in PD patients.
methodsA total of 103 PD patients who underwent invasive angiographies with exposure to iodine contrast media (ICM) were reviewed retrospectively. All patients received 0.9% saline intravenously at a rate of 75 mL per hour for 12 hours prior, during, and 12 hours after exposure to ICM. Acetylcysteine was given orally at a dose of 600 mg twice daily, on the day before and on the day of exposure to ICM. The nonionic, low-osmolar contrast agent iopromide was used at a mean dose of 75.0±15.2 mL. The changes in RRF from baseline to 1 week and 4 weeks after exposure to ICM were recorded. Outcomes of patients with serum albumin levels <3.8 g/dL and those with serum albumin levels ≥3.8 g/dL were compared. A reduction >30% in RRF at 7 days after exposure to ICM was considered CIN.
resultsCIN developed in 27.2% (28/103) of patients. Of the 103 patients, 59.2% (61) had serum albumin levels <3.8 g/dL. Of those, 37.7% (23/61) developed CIN, compared with 11.9% (5/42) of those with serum albumin levels ≥3.8 g/dL (P=0.004). After adjustment for all tested variables in a logistic regression with a stepwise selection model, serum albumin level at exposure to ICM was found to be the most powerful predictor of the development of CIN (odds ratio =4.5; confidence interval =1.5-13.0; P=0.006).
conclusionPD patients with serum albumin levels <3.8 g/dL should be monitored carefully when exposed to ICM. Serum albumin level may be considered a potential therapeutic target in the prevention of CIN and preservation of RRF in PD patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.