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1.
Medicina (Kaunas) ; 60(9)2024 Sep 12.
Article in English | MEDLINE | ID: mdl-39336530

ABSTRACT

Background and Objectives: Pulmonary embolism (PE) incidence has been increasing in the last 10 years. Computed thoracic pulmonary angiography (CTPA) had a major role in PE diagnosis and prognosis. The main purpose of this study was as follows: the prognostic value of a CTPA parameter, pulmonary artery obstruction index (PAOI), in PE risk assessment and the predictive accuracy of biomarkers, D-dimer and cardiac Troponin T (c-TnT), in 7-day mortality. A second objective of the research was to investigate the relationship between imaging by PAOI and these biomarkers in different etiologies of PE. Materials and Methods: This study comprised 109 patients with PE, hospitalized and treated between February 2021 and August 2022. They had different etiologies of PE: deep vein thrombosis (DVT); persistent atrial fibrillation (AF); chronic obstructive pulmonary disease (COPD) exacerbation; COVID-19; and cancers. The investigations were as follows: clinical examination; D-dimer testing, as a mandatory method for PE suspicion (values ≥500 µg/L were highly suggestive for PE); c-TnT, as a marker of myocardial injury (values ≥14 ng/L were abnormal); CTPA, with right ventricle dysfunction (RVD) signs and PAOI. Treatments were according to PE risk: systemic thrombolysis in high-risk PE; low weight molecular heparins (LWMH) in high-risk PE, after systemic thrombolysis or from the beginning, when systemic thrombolysis was contraindicated; and direct oral anticoagulants (DOAC) in low- and intermediate-risk PE. Results: PAOI had a high predictive accuracy for high-risk PE (area under curve, AUC = 0.993). D-dimer and cTnT had a statistically significant relationship with 7-day mortality for the entire sample, p < 0.001, and for AF, p = 0.0036; COVID-19, p = 0.003; and cancer patients, p = 0.005. PAOI had statistical significance for 7-day mortality only in COVID-19, p = 0.045, and cancer patients, p = 0.038. The relationship PAOI-D-dimer and PAOI-c-TnT had very strong statistical correlation for the entire sample and for DVT, AF, COPD, and COVID-19 subgroups (Rho = 0.815-0.982). Conclusions: PAOI was an important tool for PE risk assessment. D-dimer and c-TnT were valuable predictors for 7-day mortality in PE. PAOI (imaging parameter for PE extent) and D-dimer (biomarker for PE severity) as well as PAOI and c-TnT (biomarker for myocardial injury) were strongly correlated for the entire PE sample and for DVT, AF, COPD, and COVID-19 patients.


Subject(s)
Biomarkers , COVID-19 , Fibrin Fibrinogen Degradation Products , Pulmonary Embolism , Troponin T , Humans , Pulmonary Embolism/blood , Pulmonary Embolism/mortality , Pulmonary Embolism/diagnosis , Male , Biomarkers/blood , Biomarkers/analysis , Female , Fibrin Fibrinogen Degradation Products/analysis , COVID-19/complications , COVID-19/mortality , COVID-19/blood , Aged , Middle Aged , Troponin T/blood , Risk Assessment/methods , Computed Tomography Angiography/methods , Prognosis , Aged, 80 and over , SARS-CoV-2
2.
Medicina (Kaunas) ; 60(7)2024 Jun 26.
Article in English | MEDLINE | ID: mdl-39064476

ABSTRACT

Background and Objectives: Job strain is a psychological, physical, and behavioral stress that occurs at the workplace. Job strain is associated with more than double the normal risk of coronary artery disease (CAD). The main aim of this study was to determine the association between job strain and the following parameters: high-sensitivity C-reactive protein (hs-CRP), the albumin urine excretion rate (AUER), and secondary-level testing. Materials and Methods: This study was a descriptive cross-sectional study conducted on patients who underwent cardiological assessment between October 2023 and February 2024 at the Promedicanon Cardiology Center. This study comprised 210 participants, with two groups: 105 chronic coronary syndromes (CCS) patients and 105 no-CCS patients. The baseline characteristics collected were age, gender, education, rural/urban environment, traditional CAD risk factors, hs-CRP, and AUER. The secondary-level testing included an electrocardiogram (ECG), echocardiography, and enhanced contrast computed tomography (ECCT). Psychological questionnaires comprised the tertiary-level testing, including the PHQ-9 depression questionnaire, and the satisfaction with work scale (SWWS) for job strain (Likert score). Results: The baseline characteristics were all significantly different between the groups (p < 0.05) except for total cholesterol. The hs-CRP level had a mean value of 0.4837 ± 0.19082 in the CCS group; for the no-CCS group, the hs-CRP mean value was 0.2289 ± 0.11009; p-value < 0.001. The AUER had a mean value of 42.770 ± 12.8658 for the CCS group and 26.432 ± 9.7338 for the no-CCS group; p-value < 0.001. For the associations between secondary-level testing and job strain: p < 0.001 for ST depression, negative T-waves, and q-waves; p = 0.415 for atrial fibrillation (AF); p = 0.018 for wall motion studies; p = 0.005 for ECCT. The association between job strain and AF had no statistical significance. The contractility of left ventricle walls and coronary calcification score were associated with job strain, with statistical significance. The p-value was 0.013 for the relationship between depression and the ECCT; for the association between depression and CCS status, the p-value was 0.021. Depression is usually diagnosed in job strain. The association between depression, and coronary calcification, as well as depression and CCS status had statistical significance. Conclusions: Job strain increased the hs-CRP level and AUER in both the CCS and no-CCS patients. The primary and secondary prevention of CHD could also include interventions to reduce job strain.


Subject(s)
Biomarkers , C-Reactive Protein , Occupational Stress , Humans , Male , Female , Middle Aged , Cross-Sectional Studies , Occupational Stress/complications , Occupational Stress/physiopathology , Occupational Stress/psychology , C-Reactive Protein/analysis , Biomarkers/blood , Biomarkers/analysis , Myocardial Ischemia/psychology , Myocardial Ischemia/physiopathology , Myocardial Ischemia/epidemiology , Electrocardiography/methods , Adult , Aged , Surveys and Questionnaires , Echocardiography/methods , Risk Factors , Endothelium, Vascular/physiopathology
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