A clinical case of right ventricular myocardial infarction in a patient with diabetes mellitus and Fahr’s disease

Right ventricular myocardial infarction (RVMI) is quite a rare and difficult to diagnose disease. The leading method in the diagnosis of RVMI is a standard electrocardiography (ECG) in 12 leads, but a reliable establishment of this pathology is possible only with the use of mirror-image right precordial leads. In the presented clinical case, a 68-year-old patient was admitted to the hospital with complaints of weakness in the right extremities, speech impairment, nausea and vomiting. A complete examination was carried out and conservative treatment was initiated. Despite the treatment being administered, the patient's condition continued to deteriorate progressively, and therefore it was decided to transfer the patient to the intensive care unit, where an ECG revealed the likelihood of ischemia of the anterolateral and lower walls. The next day, respiratory and cardiac arrest was diagnosed, and resuscitation measures had no effect. During autopsy, cardiomyocyte necrosis zones with perifocal inflammation were found in the myocardium of the right ventricle, corresponding to myocardial infarction within 6 to 12 hours. Clinical observation emphasizes the importance of timely diagnosis of RVMI, especially against the background of severe metabolic disorders in the organism caused by diabetes mellitus.

Authors

Institutions

Publication Details

Journal
Perm Medical Journal
Published
2025-05-27
DOI
https://doi.org/10.17816/pmj422121-129
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A clinical case of right ventricular myocardial infarction in a patient with diabetes mellitus and Fahr’s disease

S.S. Yashin, Н. В. Исакова, S. I. Anisimov, A. S. Yevgrafova
Perm Medical Journal
Cardiovascular Function and Risk Factors
article

A clinical case of right ventricular myocardial infarction in a patient with diabetes mellitus and Fahr’s disease

S.S. Yashin, Н. В. Исакова, S. I. Anisimov, A. S. Yevgrafova
article en

Abstract

Right ventricular myocardial infarction (RVMI) is quite a rare and difficult to diagnose disease. The leading method in the diagnosis of RVMI is a standard electrocardiography (ECG) in 12 leads, but a reliable establishment of this pathology is possible only with the use of mirror-image right precordial leads. In the presented clinical case, a 68-year-old patient was admitted to the hospital with complaints of weakness in the right extremities, speech impairment, nausea and vomiting. A complete examination was carried out and conservative treatment was initiated. Despite the treatment being administered, the patient's condition continued to deteriorate progressively, and therefore it was decided to transfer the patient to the intensive care unit, where an ECG revealed the likelihood of ischemia of the anterolateral and lower walls. The next day, respiratory and cardiac arrest was diagnosed, and resuscitation measures had no effect. During autopsy, cardiomyocyte necrosis zones with perifocal inflammation were found in the myocardium of the right ventricle, corresponding to myocardial infarction within 6 to 12 hours. Clinical observation emphasizes the importance of timely diagnosis of RVMI, especially against the background of severe metabolic disorders in the organism caused by diabetes mellitus.

Perm Medical JournalVol. 42(2)
Samara State Medical University (RU)
Openalex Percentile: Top 79%
Cardiovascular Function and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.