scholarly journals Impact of chronic ischemic heart disease on severe maternal morbidity during delivery hospitalizations

2022 ◽  
Vol 226 (1) ◽  
pp. S77
Author(s):  
Anna Denoble ◽  
Sarah Goldstein ◽  
Chad Grotegut ◽  
Jerome Federspiel
Circulation ◽  
2004 ◽  
Vol 109 (13) ◽  
pp. 1615-1622 ◽  
Author(s):  
Christopher Heeschen ◽  
Ralf Lehmann ◽  
Jörg Honold ◽  
Birgit Assmus ◽  
Alexandra Aicher ◽  
...  

2013 ◽  
Vol 3 (2) ◽  
pp. 50-56
Author(s):  
MBK Choudhury ◽  
MM Hossain ◽  
M Akhtaruzzaman ◽  
MM Jamal Uddin ◽  
MS Rahman ◽  
...  

Magnesium (Mg) and potassium (K) are the major intracellular cations whose presence in the serum are low, but minor changes of those may show a remarkable change in the various body functions specially in the heart. The study was designed to find out the correlation between serum Mg and K in acute myocardial infarction (AMI), chronic ischemic heart disease (CIHD) and normal healthy volunteers. It was carried out over a period of 18 months in the Department of Biochemistry, Bangabandhu Sheikh Mujib Medical University (BSMMU) in collaboration with Department of Cardiology, Sir Salimullah Medical College & Mitford Hospital (SSMC & MH) and Atomic Energy Center, Dhaka. A total of 101 subjects were included in which 32 subjects were AMI, 34 CIHD and 35 normal healthy volunteers. Serum glucose and serum creatinine were estimated to exclude diabetes and renal dystrophies. Estimation of serum CK-MB and ECG tracing were done as diagnostic tools of AMI and to categories the subjects into various groups. Serum Mg was estimated by Atomic absorption spectrophotometer and serum K by Ion sensitive electrode. The present study shows that there is a strong positive correlation of serum Mg and K in AMI, CIHD and healthy control subjects (r = 0.566, p<0.01 level). So it is suggested to estimate and supplement both Mg and K in IHD patients for their better management. DOI: http://dx.doi.org/10.3329/bjmb.v3i2.13812 Bangladesh J Med Biochem 2010; 3(2): 50-56


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Yan Chaowu ◽  
Li Li ◽  
Fang Wei ◽  
Li Hua ◽  
Wang Yang

Introduction: Late gadolinium enhancement (LGE) has the potential to become an excellent technique in the diagnosis of right ventricular myocardial infarction (RVMI). However, the gold standard, pathological findings from patients, is still unavailable to validate the true value of LGE. Hypothesis: We hypothesized that LGE might correspond with histological infarction in RVMI. Methods: 36 transplant candidates (35 M /1F) with chronic ischemic heart disease were studied prospectively with LGE. According to the 12-segment-model, the pathological findings of RV were compared with the previous in vivo LGE after heart transplantation. Results: Histological RVMI was detected in 7 patients, and corresponded with all LGE segments (n=23) and 2 non-LGE segments. A generalize linear mix effect model showed non-significant difference (P=0.152) between the results of LGE and histological infraction. In identifying the RV segments with histological infarction, sensitivity and specificity of LGE was 92.0% (95%CI 74.0% to 99.0%) and 100% (95%CI 99.9% to 100.0%), respectively. Furthermore, RV segments without LGE mainly included two pathological patterns: histologically normal myocardium (n=372) or the admixture of viable myocardium and scattered replacement fibrosis (n=35). In the non-LGE RV segments, wall motion abnormality was associated with volume fraction of collagen (11.4±6.5% vs 4.3±2.2%, P<0.001) and the presence of ischemia (96.4% vs 1.7%, P<0.001). Conclusions: The RV segments with LGE corresponded closely with histological infarction in ischemic heart disease. However, RV segments without LGE might be histologically normal myocardium or intermixed with scattered replacement fibrosis. Further studies are required to evaluate the significance of scattered replacement fibrosis in the non-LGE segments.


2006 ◽  
Vol 8 (4) ◽  
pp. 245-251 ◽  
Author(s):  
Paul Knaapen ◽  
Olga Bondarenko ◽  
Aernout M. Beek ◽  
Marco J. W. Götte ◽  
Ronald Boellaard ◽  
...  

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