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  1. Salah H, Tamam N, Rabbaa M, Abuljoud M, Zailae A, Alkhorayef, et al.
    Appl Radiat Isot, 2023 Feb;192:110548.
    PMID: 36527854 DOI: 10.1016/j.apradiso.2022.110548
    Computed tomography coronary angiography (CTCA) has generated tremendous interest over the past 20 years by using multidetector computed tomography (MDCT) because of its high diagnostic accuracy and efficacy in assessing patients with coronary artery disease. This technique is related to high radiation doses, which has raised serious concerns in the literature. Effective dose (E, mSv) may be a single parameter meant to reflect the relative risk from radiation exposure. Therefore, it is necessary to calculate this quantity to point to relative radiation risk. The objectives of this study are to evaluate patients' exposure during diagnostic CCTA procedures and to estimate the risks. Seven hundred ninety patients were estimated during three successive years. The patient's exposure was estimated based on a CT device's delivered radiation dose (Siemens Somatom Sensation 64 (64-MDCT)). The participating physicians obtained the parameters relevant to the radiation dose from the scan protocol generated by the CT system after each CCTA study. The parameters included the volume CT dose index (CTDIvol, mGy) and dose length product (DLP, mGy × cm). The mean and range of CTDIvol (mGy) and DLP (mGy × cm) for three respective year was (2018):10.8 (1.14-77.7) and 2369.8 ± 1231.4 (290.4-6188.9), (2019): 13.82 (1.13-348.5), and 2180.5 (501.8-9534.5) and (2020) 10.9 (0.7-52.9) and 1877.3 (149.4-5011.1), respectively. Patients' effective doses were higher compared to previous studies. Therefore, the CT acquisition parameter optimization is vital to reduce the dose to its minimal value.
    Matched MeSH terms: Coronary Angiography/adverse effects
  2. Gheith OA, Nagib AM, Halim MA, Mahmoud T, Nair P, Abo-Atya H, et al.
    Iran J Kidney Dis, 2023 Jan;1(1):47-53.
    PMID: 36739490
    INTRODUCTION: Data regarding contrast-induced nephropathy (CIN) in kidney transplant (KT) recipients are scarce despite the distinct risk factors such as the use of immunosuppressive agents, sympathetic denervation, glomerular hyperfiltration, and high prevalence of the cardiovascular disease. This study aimed to determine the prevalence of CIN in KT recipients who received low-osmolality iodine-based contrast material (CM) for radiological assessment.

    METHODS: Between 2010 and 2020, 79 of the 3180 KT recipients followed at Hamed Al-Essa organ transplant center received low-osmolality iodine-based contrast for radiological assessment for various indications. Preventive measures including holding metformin, intravenous hydration, sodium bicarbonate and N-acetylcysteine were given before contrast administration. CIN was defined as an increase in serum creatinine of 25% from the baseline within 72 hours.

    RESULTS: The enrolled patients were divided into two groups: those who developed CIN (n = 7) and those with no increase in serum creatinine level (n = 72). The mean age of the patients was 52.1 ± 12.3 years; 44 of them were males, and the cause of end-stage kidney disease was mostly diabetic nephropathy. The pre-transplant demographics were comparable between the two groups. Fortyseven cases received contrast for coronary angiography, and 32 received it for a CT scan. The graft function deteriorated in group 1, but no significant difference was found between the two groups at the end of the study.

    CONCLUSION: CIN is not uncommon in KT recipients receiving CM, especially with ischemic heart disease. Risk stratification, optimizing hemodynamics, and avoiding potential nephrotoxins are essential before performing CM-enhanced studies in KT recipients.  DOI: 10.52547/ijkd.7165.

    Matched MeSH terms: Coronary Angiography/adverse effects
  3. Lim KC, Yap LB, Amin AN
    Med J Malaysia, 2020 09;75(5):472-478.
    PMID: 32918412
    INTRODUCTION: Stent thrombosis (ST) is an uncommon, but significant complication following angioplasty. We aimed to examine the predictors, clinical outcomes and mechanism of definite ST cases among patients who underwent percutaneous coronary intervention (PCI).

    METHODS: This was a retrospective observational registry of 14,935 patients from the year 2011 till 2015. Clinical characteristics, clinical outcome and intracoronary imaging data were recorded in all the patients. The SPSS Statistic version 24 was used for statistical analysis. The Cox regression hazard model was used to report calculate the hazard ratio (HR) with a 95% confidence interval (95%CI). Independent predictors of ST were identified by univariate logistic regression analysis. Variables that showed a statistically significant effect in univariate analyses were entered in a multivariate Cox proportional hazards model. A p-value<0.05 was regarded as significant.

    RESULTS: The incidence of definite ST was 0.25% (37 out of 14935 patients). 75% of ST group patients presented with ST elevation myocardial infarction (75% vs. 19.8%, p<0.01). There was higher mortality among patients with ST when compared to the group without ST (Hazard Ratio, HR=10.69, 95%CI: 1.13, 100). Two independent predictors of ST were 1) previous history of acute myocardial infarction (HR=2.36, 95%CI: 1.19, 4.70) and 2) PCI in the context of acute coronary syndrome when compared to elective PCI (HR=37, 95%CI: 15.7, 91.5). Examination of 19 ST cases with intracoronary imaging identified nine cases (47%) of underexpanded stents and five cases (26%) of malopposition of stents.

    CONCLUSIONS: ST is associated with high mortality. PCI in acute coronary syndrome setting and a previous history of acute myocardial infarction were significant predictors for ST. Intracoronary imaging identified stent underexpansion and malopposition as common reasons for ST. In cases where the risk of ST is high, the use of intracoronary imaging guided PCI is recommended.

    Matched MeSH terms: Coronary Angiography/adverse effects*
  4. Alharazy SM, Kong N, Saidin R, Gafor AH, Maskon O, Mohd M, et al.
    Angiology, 2014 Mar;65(3):225-6.
    PMID: 23564021 DOI: 10.1177/0003319713483544
    Matched MeSH terms: Coronary Angiography/adverse effects*
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