Novel Assessment Tool For Coronary Artery Disease Severity During Screening Mammography

Ružičić, Dušan; Dobrić, Milan; Vukovic, Mira; Dragan, Hrncic; Đorđević, Slavica; Ruzicic, M Milijana; Aleksandrić, Srđan; Đorđević-Dikić, Ana; Beleslin, Branko

doi:10.1080/07399332.2018.1463226

Cited by 6 publications

(2 citation statements)

References 33 publications

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“…We estimated that the -cut point‖ for the SYNTAX score in the one-year MACE is 22 (18.8 to 24.5). In the reports of other authors, the values for the SYNTAX score defined by the mentioned interval are similar, both in the prediction of MACE [17,29], and in the assessment of associated risk factors in severe CAD forms [30,31].…”

Section: Discussionmentioning

confidence: 52%

Development of one-year major adverse cardiac events risk index in patients with acute coronary syndrome and diabetes mellitus who underwent percutaneous coronary intervention

et al. 2020

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Background/Aim. Patients with acute coronary syndrome (ACS) and diabetes mellitus (DM) have an increased risk of major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI), which is not estimated sufficiently-multidimensionally in terms of type and severity of the ACS and/or DM and angiographic findings. The study was intended to validate and develop an index of metabolic, angiographic, anatomic and clinical risk factors for one-year MACE after conducted PCI in patients with ACS and DM. Methods. A prospective cross-section study was performed in patients with DM and ACS. In the PCI period the following risk factors where were recorded: 1) age and metabolic variablesglycosylated hemoglobin (HbA1c), total cholesterol, triglyceridemia; 2) endocrinological variables-DM therapy, tip of DM; 3) ACS modality; 4) radiological / anatomical variable-SYNTAX score and 5) clinical variables in modified ACEF score. One-year MACE were recorded. Results. From a total of 136 consecutive patients, 55 of them developed at least one MACE in one-year followup. A high predictive risk index was evaluated that assessed particularly or associated risks for one-year MACE (c statistic = 0.879) in the study population, defined by: SYNTAX score > 21, modified ACEF score > 1.38, HbA1c ≥ 8 (%), triglyceridemia ≥ 2.3 (mmol/L) in patients with insulin therapy, and ACS modalityunstable angina pectoris. The constructed Risk Index for one-year MACE (MACERI) has better predictive characteristics than SYNTAX score (c statistic = 0.798), as well as ACF score (c statistic = 0.744). Conclusions. MACERI can potentially have great application in future risk factors studies for one-year MACE in patients with DM and ACS who underwent PCI, because with it the effects of these factors measure multidimensionally at valid and accurate manner.

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Section: Discussionmentioning

confidence: 52%

Development of one-year major adverse cardiac events risk index in patients with acute coronary syndrome and diabetes mellitus who underwent percutaneous coronary intervention

et al. 2020

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“…It is important to emphasize that these methods do not test hypotheses, as is the case with analytical methods for assessing interconnectedness, or methods for estimating the signifi cance of the diff erence. Methods of inferential statistics for structure assessment are extremely important both for construction of measurement instruments in behavioral research, as well as for defi nition, exploration, and description of unknown phenomenology [9,14,[16][17][18].…”

Section: Wwwhophonlineorgmentioning

confidence: 99%

Statistical methods applied in pharmacotherapy

Z¹,

Vuković²,

Kocev³

et al. 2019

Hosp Pharm Int Multi J

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Introduction: Pharmacotherapy dealing with drug research is extremely complex process because in addition to basic knowledge in pharmacology, it includes both knowledge in clinical medicine and medical statistics. Methods: Statistical methods applied in medical research have been studied on examples of individual statistical methods applied in particular clinical trials. Topic: The following problems have been discussed: study design, study plan, criteria for selecting patients, the required and suffi cient minimum number of patients in the clinical trial, the selection of the most commonly used descriptive and analytical statistical procedures, but also a critical review of analytical statistical procedures that have great potential in checking the conformity of everyday clinical practice with evidence-based medicine. Conclusions: Knowledge of statistical methods is a valuable companion and tool of clinicians, since it enables them to carry out appropriate research with the best possible conclusions based on medical evidence.

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