Evidence map›Paper›PMID 42626489›Full record

ArticleCase reports in nephrology and dialysis

Preoperative Therapeutic Plasma Exchange for Severe Hypertriglyceridemia-Associated Myocardial Infarction in a Chronic Hemodialysis Patient Undergoing Urgent Coronary Artery Bypass Grafting: A Case Report.

Girish Vasudeorao Kumthekar, Aditi Pandey, Amol Kulkarni

Abstract readCase Reports
In one paragraph

Article in Case reports in nephrology and dialysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Girish Vasudeorao KumthekarNephrology Department, Aditya Birla Memorial Hospital, Pune, India.
Aditi PandeyNephrology Department, Aditya Birla Memorial Hospital, Pune, India.
Amol KulkarniNephrology Department, Symbiosis University Hospital and Research Center, Pune, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Severe hypertriglyceridemia (HTG) is a well-recognized cause of acute pancreatitis, but its role as a precipitant of acute myocardial infarction (MI) and a barrier to urgent surgical intervention is less frequently documented, especially in patients with end-stage renal disease (ESRD). Case Presentation: We report a unique case of a 68-year-old male on chronic hemodialysis who presented with an inferior wall MI. Coronary angiography revealed severe triple vessel disease necessitating urgent coronary artery bypass grafting (CABG). However, laboratory investigations identified critical HTG (1,943 mg/dL), posing significant risks for hyperviscosity and extracorporeal circuit failure. To mitigate these perioperative risks, the patient underwent four sessions of preoperative therapeutic plasma exchange (TPE), which successfully reduced serum triglycerides to 355 mg/dL. Following this stabilization, the patient underwent a successful off-pump CABG and was managed postoperatively with sustained low-efficiency dialysis. Conclusion: This case highlights the clinical utility of TPE as a rapid and effective "therapeutic bridge" to enable safe, urgent cardiac surgery in patients with severe HTG. It demonstrates that preoperative lipid-lowering aphaeresis can safely manage metabolic barriers to surgery in complex ESRD patients, potentially expanding the management options for high-risk cardiovascular cases where medical therapy alone is insufficient.

Indexed as

Acute myocardial infarctionDialysisEnd-stage renal diseaseHypertriglyceridemiaTherapeutic plasma exchange

Identifiers

PMID42626489
PMCPMC13493112

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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 Socratic graph.