9 results on '"Budurea, C."'
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2. Interventional treatment in diabetics in the era of drug-eluting stents and compliance to the ESC guidelines: lessons learned from the Euro Heart Survey Programme
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Onuma Y., Kukreja N., Ramcharitar S., Hochadel M., Gitt A., Serruys P., Marco J., Vahanian A., Weidinger F., Wijns W., Zeymer U., Silber S., Seabra-Gomez R., Eberli F., Manini M., Bramley C., Laforest V., Taylor C., Huber K., Backer G. D., Sirakova V., Cerbak R., Thayssen P., Aziz O. A., Tammam K., Lehto S., Delahaye F., Kobulia B., Cokkinos D., Kremastinos D., Karlocai K., Shelley E., Behar S., Maggioni A., Grabauskiene V., Deckers J., Asmussen I., Stepinska J., Goncalves L., Fonseca C., Mareev V., Vasilijevic Z., Riecansky M. I., Kenda M. F., Lopez-Sendon J. L., Rosengren A., Buser P., Okay T., Sychov O., Schofield P., Gitt A. K., Tavazzi L., Gomes R. S., de la Iglesia J. M., Wallentin L., Kearney P., McGregor K., Simoons M. L., Squibb B. -M., Lilly E., Margaryan K., Khachatryan S., Doerler J., Stocker E. -M., Altenberger I. J., Heigert M., Pichler M., Christ S. G., Glogar H., Lang I., Ingerle S., De Wilde P., de Marneffe M., Vrolix B. M., Dens J., Lierde J. V., De Wagter G. X., Carlier G. M., Weyne G. A., Legrand K. V., Doneux P., Gach O., Davin L., Mievis L. E., Massart P. -E., Holvoet N. G., Giunio L., Glavas D., Vukovic I., Markovic B., Duplancic D., Runjic F., Galic S. E., Mirat J., Kala P., Semenka J., Hlinomaz O., Petrikovits E., Widimsky B. P., Tousek P., Varvarovsky P. I., Cappelen H., Helqvist O. S., Kelbaek H., Jorgensen E., Engstrom T., Saunamaki K., Kastrup J., Clemmensen P., Hansen H., Al Abbadi M., Razek H. A., Aboul el Nasr G., Ragi H., Ibrihim B., Zarif B., el Banhawy N., Sorour K., Meguid M. A., Mahrous A., Al Khashab K. A., Ahmed Abd Elmoniem F., El Emry M., El Naggar A., Saad B. A., Laanmets P., Voitk J., Lutter P., Jarvekulg S., Jalakas M., Reinmets J., Marandi T., Peeba M., Serka T., Syvannne M., Kaihovirta E., Korpilahti H. K., Vaittinen M. -A., Bassand J. -P., Espinosa D. P., Cottin B. Y., Lhuillier I., Buffet P., Lorgis L., Machecourt D. J., Bertrand B., Serrano D., Bonnet G. J. -L., Steg M. P. G., Juliard J. -M., Farnoud R., Delarche P. N., Marco P. J., Petit F., Farah B., Carrie D., Galinier M., Puel J., Cahuzac J., Roncalli J., Tauzin S., Elbaz M., Schachinger V., Gitt F. A., am Rhein Ralf Zahn L., Fraiture B., Haetinger S., Klepzig N. H., Girth E., Hauber A., Firschke O. C., Widmaier J., Hofbauer F., Huttl S., Sechtem P. U., Parade U., Linnartz S. G., Andrianidis S., Tsiavou N., Papaioannou G., Deliargyris E., Attikis M., Alexopoulos D., Davlouros P., Tsikaderis D., Dardas P., Mezilis N., Istvan E., Zoltan B., Turgeman Y., Khaled S., Feldman A., Jafari J., Manevich I., Cafri C., Ilia R., Abu-Ful A., Yaroslavslev S., Wainstain J. M., Rosenchtein G., Sheva B., Krakover R., Yakov B., Halon D., Gruberg L., Markiewicz W., Grenadier E., Boulos M., Roguin A., Kerner A., Amikam S., Ben-Tzvi M., Rezmovitz J., Mosseri H. M., Lotan H., Varshizky B., Nassar H., Daninberg H., Rot D., Vais T., Benhorin J., Keren A., Medina A., Huri Z., Brandis J. S., Schoenmann G., Kornowski N. R., Assali A., Fuch S., Hasdai D., Brosh D., Sela O., Teplitski I., Tikva P., Eisenberg O., Banai S., Finkelstein A., Hasin Y., Aboud M., Nahir M., Qarwani D., Diab G., Meloni L., Lai G., Cadeddu M., Pirisi R., Bonechi F., Nassi F., Nieri M., Taiti A., Naldoni A., Calabro F., Achilli F., Maggiolini S., Piatti L., Tiberti G., Addamiano P., Berti S., Ravani M., Palmieri C., Trianni G., Cardullo S., Cioppa A., Rubino P., Ambrosini V., Salemme L., Sorropago G., Tesorio T., Geraci G., Scalise F., Mazzeti S., Auguadro C., Esposito G., Canali G., Caccia M. E., Ruggieri C., Benedetta B., de Cesare N., De Benedictis M., Coco T., Manzotti S., Fraz O. S., Marraccini P., Danesi A., Ricci R., Ferraironi A., Olivieri E., Chiera A., Garducci S., Grasseli D., McFadden E., Cahill N., Quinn M., Crean P., Caroll E., Foley D., O'Connor S., O'Hanlon R., Lynch B., O'Donnell S., Roy J., O'Brien D., Krastina A., Erglis A., Lawand S., Dorniak W., Klaudel J., Pawlowski K., Trenkner W., Janion M., Sadowski M., Janion-Sadowska A., Skorupa I., Bystryk L., Kern A., Janiak B., Szelemej R., Ruzyllo W., Witkowski A., Deptuch T., Maczynska-Mazuruk R., Budaj A., Cegieska K. L., Opolski G., Wilczyska J., Roik M., Kochman J., Martins D., Goncalves I. M. F. J., Pereira H., Faria H., Calisto J., Matos V., Leitao-Marques A., Costa M., Oliveira H., Mota P., Santos W., Brandao V., Caires F. G., Silva B., Teles F. R. C., Almeida M., Goncalves P., Raposo L., Mourao L., Bernardes L., Pedro P. G., Ferreira R., Conduto R., Quininha J., Patricio L., Cacela D., Goncalves J. M., de Sousa L., Adao M., Carvalho L. H. C., Romeira H., Sousa J. P., Garcia J. M. M., Silva J. C., Magalhaes D., Santos P. R., Mendes S. P. G., Pipa J., Nunes L., Ferreira P., Vinereanu D., Udroiu C., Florescu N., Parvu O., Stoicescu C., Dorobantu M., Balanescu S. M., Niculescu R., Calmac L., Marinescu M., Olinic B. D., Ober M., Homorodean C., Budurea C., Hij A., Anton F., Cluj-Napoca, Ortan F., Suciu C., Ursu M., Baba C., Targu-Mures, Dragulescu S. I., Petrescu L., Slovenski M., Gavrilescu D., Dina C., Mut B., Babic R., Colic M., Topic D., Vilarrasa J. B., Pont M. P., Martorell R. M., Rohlfs I., Moreno R. M., Irurita M., Irurita J., de Gran Canaria L. P., Cervantes C. E., Galvan T., Navarro J., Franco D., Rodriguez I. S., Ramirez V. H., Fernandes-Aviles F., Revilla A., Masson N., Dupertuis V., Kachboura S., Iyisoy A., Erol M. K., Ongen Z., Babalik E., Oskan M., Ozdemir N., Oto A., Aytemir K., Yavuz B., Sahin M., Durna K., Aytekin V., Demiroglu C., Gulbaran M., Aytekin S., Catakoglu A. B., Ozme B., Gemici G., Feray H., Schofield P. M., Kahn S., Clarke S., Millington H., Di Mario C., Dempster D., Henderson R. A., Burton J., Falcon-Lang D., Cardiology, Onuma, Y., Kukreja, N., Ramcharitar, S., Hochadel, M., Gitt, A., Serruys, P., Marco, J., Vahanian, A., Weidinger, F., Wijns, W., Zeymer, U., Silber, S., Seabra-Gomez, R., Eberli, F., Manini, M., Bramley, C., Laforest, V., Taylor, C., Huber, K., Backer, G. D., Sirakova, V., Cerbak, R., Thayssen, P., Aziz, O. A., Tammam, K., Lehto, S., Delahaye, F., Kobulia, B., Cokkinos, D., Kremastinos, D., Karlocai, K., Shelley, E., Behar, S., Maggioni, A., Grabauskiene, V., Deckers, J., Asmussen, I., Stepinska, J., Goncalves, L., Fonseca, C., Mareev, V., Vasilijevic, Z., Riecansky, M. I., Kenda, M. F., Lopez-Sendon, J. L., Rosengren, A., Buser, P., Okay, T., Sychov, O., Schofield, P., Gitt, A. K., Tavazzi, L., Gomes, R. S., de la Iglesia, J. M., Wallentin, L., Kearney, P., Mcgregor, K., Simoons, M. L., Squibb, B. -M., Lilly, E., Margaryan, K., Khachatryan, S., Doerler, J., Stocker, E. -M., Altenberger, I. J., Heigert, M., Pichler, M., Christ, S. G., Glogar, H., Lang, I., Ingerle, S., De Wilde, P., de Marneffe, M., Vrolix, B. M., Dens, J., Lierde, J. V., De Wagter, G. X., Carlier, G. M., Weyne, G. A., Legrand, K. V., Doneux, P., Gach, O., Davin, L., Mievis, L. E., Massart, P. -E., Holvoet, N. G., Giunio, L., Glavas, D., Vukovic, I., Markovic, B., Duplancic, D., Runjic, F., Galic, S. E., Mirat, J., Kala, P., Semenka, J., Hlinomaz, O., Petrikovits, E., Widimsky, B. P., Tousek, P., Varvarovsky, P. I., Cappelen, H., Helqvist, O. S., Kelbaek, H., Jorgensen, E., Engstrom, T., Saunamaki, K., Kastrup, J., Clemmensen, P., Hansen, H., Al Abbadi, M., Razek, H. A., Aboul el Nasr, G., Ragi, H., Ibrihim, B., Zarif, B., el Banhawy, N., Sorour, K., Meguid, M. A., Mahrous, A., Al Khashab, K. A., Ahmed Abd Elmoniem, F., El Emry, M., El Naggar, A., Saad, B. A., Laanmets, P., Voitk, J., Lutter, P., Jarvekulg, S., Jalakas, M., Reinmets, J., Marandi, T., Peeba, M., Serka, T., Syvannne, M., Kaihovirta, E., Korpilahti, H. K., Vaittinen, M. -A., Bassand, J. -P., Espinosa, D. P., Cottin, B. Y., Lhuillier, I., Buffet, P., Lorgis, L., Machecourt, D. J., Bertrand, B., Serrano, D., Bonnet, G. J. -L., Steg, M. P. G., Juliard, J. -M., Farnoud, R., Delarche, P. N., Marco, P. J., Petit, F., Farah, B., Carrie, D., Galinier, M., Puel, J., Cahuzac, J., Roncalli, J., Tauzin, S., Elbaz, M., Schachinger, V., Gitt, F. A., am Rhein Ralf Zahn, L., Fraiture, B., Haetinger, S., Klepzig, N. H., Girth, E., Hauber, A., Firschke, O. C., Widmaier, J., Hofbauer, F., Huttl, S., Sechtem, P. U., Parade, U., Linnartz, S. G., Andrianidis, S., Tsiavou, N., Papaioannou, G., Deliargyris, E., Attikis, M., Alexopoulos, D., Davlouros, P., Tsikaderis, D., Dardas, P., Mezilis, N., Istvan, E., Zoltan, B., Turgeman, Y., Khaled, S., Feldman, A., Jafari, J., Manevich, I., Cafri, C., Ilia, R., Abu-Ful, A., Yaroslavslev, S., Wainstain, J. M., Rosenchtein, G., Sheva, B., Krakover, R., Yakov, B., Halon, D., Gruberg, L., Markiewicz, W., Grenadier, E., Boulos, M., Roguin, A., Kerner, A., Amikam, S., Ben-Tzvi, M., Rezmovitz, J., Mosseri, H. M., Lotan, H., Varshizky, B., Nassar, H., Daninberg, H., Rot, D., Vais, T., Benhorin, J., Keren, A., Medina, A., Huri, Z., Brandis, J. S., Schoenmann, G., Kornowski, N. R., Assali, A., Fuch, S., Hasdai, D., Brosh, D., Sela, O., Teplitski, I., Tikva, P., Eisenberg, O., Banai, S., Finkelstein, A., Hasin, Y., Aboud, M., Nahir, M., Qarwani, D., Diab, G., Meloni, L., Lai, G., Cadeddu, M., Pirisi, R., Bonechi, F., Nassi, F., Nieri, M., Taiti, A., Naldoni, A., Calabro, F., Achilli, F., Maggiolini, S., Piatti, L., Tiberti, G., Addamiano, P., Berti, S., Ravani, M., Palmieri, C., Trianni, G., Cardullo, S., Cioppa, A., Rubino, P., Ambrosini, V., Salemme, L., Sorropago, G., Tesorio, T., Geraci, G., Scalise, F., Mazzeti, S., Auguadro, C., Esposito, G., Canali, G., Caccia, M. E., Ruggieri, C., Benedetta, B., de Cesare, N., De Benedictis, M., Coco, T., Manzotti, S., Fraz, O. S., Marraccini, P., Danesi, A., Ricci, R., Ferraironi, A., Olivieri, E., Chiera, A., Garducci, S., Grasseli, D., Mcfadden, E., Cahill, N., Quinn, M., Crean, P., Caroll, E., Foley, D., O'Connor, S., O'Hanlon, R., Lynch, B., O'Donnell, S., Roy, J., O'Brien, D., Krastina, A., Erglis, A., Lawand, S., Dorniak, W., Klaudel, J., Pawlowski, K., Trenkner, W., Janion, M., Sadowski, M., Janion-Sadowska, A., Skorupa, I., Bystryk, L., Kern, A., Janiak, B., Szelemej, R., Ruzyllo, W., Witkowski, A., Deptuch, T., Maczynska-Mazuruk, R., Budaj, A., Cegieska, K. L., Opolski, G., Wilczyska, J., Roik, M., Kochman, J., Martins, D., Goncalves, I. M. F. J., Pereira, H., Faria, H., Calisto, J., Matos, V., Leitao-Marques, A., Costa, M., Oliveira, H., Mota, P., Santos, W., Brandao, V., Caires, F. G., Silva, B., Teles, F. R. C., Almeida, M., Goncalves, P., Raposo, L., Mourao, L., Bernardes, L., Pedro, P. G., Ferreira, R., Conduto, R., Quininha, J., Patricio, L., Cacela, D., Goncalves, J. M., de Sousa, L., Adao, M., Carvalho, L. H. C., Romeira, H., Sousa, J. P., Garcia, J. M. M., Silva, J. C., Magalhaes, D., Santos, P. R., Mendes, S. P. G., Pipa, J., Nunes, L., Ferreira, P., Vinereanu, D., Udroiu, C., Florescu, N., Parvu, O., Stoicescu, C., Dorobantu, M., Balanescu, S. M., Niculescu, R., Calmac, L., Marinescu, M., Olinic, B. D., Ober, M., Homorodean, C., Budurea, C., Hij, A., Anton, F., Cluj-Napoca, Ortan, F., Suciu, C., Ursu, M., Baba, C., Targu-Mures, Dragulescu, S. I., Petrescu, L., Slovenski, M., Gavrilescu, D., Dina, C., Mut, B., Babic, R., Colic, M., Topic, D., Vilarrasa, J. B., Pont, M. P., Martorell, R. M., Rohlfs, I., Moreno, R. M., Irurita, M., Irurita, J., de Gran Canaria, L. P., Cervantes, C. E., Galvan, T., Navarro, J., Franco, D., Rodriguez, I. S., Ramirez, V. H., Fernandes-Aviles, F., Revilla, A., Masson, N., Dupertuis, V., Kachboura, S., Iyisoy, A., Erol, M. K., Ongen, Z., Babalik, E., Oskan, M., Ozdemir, N., Oto, A., Aytemir, K., Yavuz, B., Sahin, M., Durna, K., Aytekin, V., Demiroglu, C., Gulbaran, M., Aytekin, S., Catakoglu, A. B., Ozme, B., Gemici, G., Feray, H., Schofield, P. M., Kahn, S., Clarke, S., Millington, H., Di Mario, C., Dempster, D., Henderson, R. A., Burton, J., and Falcon-Lang, D.
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Registrie ,Male ,medicine.medical_treatment ,Angiotensin-Converting Enzyme Inhibitors ,Comorbidity ,Coronary Artery Disease ,Severity of Illness Index ,Cardiovascular Disease ,Hospital Mortality ,Registries ,Angioplasty, Balloon, Coronary ,Drug-Eluting Stents ,Middle Aged ,Clopidogrel ,Europe ,Treatment Outcome ,Drug-eluting stent ,Cardiovascular Diseases ,Practice Guidelines as Topic ,Female ,Guideline Adherence ,Inpatient ,Cardiology and Cardiovascular Medicine ,Human ,medicine.drug ,medicine.medical_specialty ,Diabetic Angiopathie ,Adrenergic beta-Antagonists ,Diabetic ,SDG 3 - Good Health and Well-being ,Internal medicine ,Diabetes mellitus ,Angioplasty ,medicine ,Humans ,Drug eluting stent ,cardiovascular diseases ,Risk factor ,Aged ,European Heart Survey ,Inpatients ,Clinical Audit ,business.industry ,Platelet Aggregation Inhibitor ,Adrenergic beta-Antagonist ,Angiotensin-Converting Enzyme Inhibitor ,Guideline ,medicine.disease ,Surgery ,Health Care Survey ,Health Care Surveys ,Conventional PCI ,Hydroxymethylglutaryl-CoA Reductase Inhibitor ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,business ,Diabetic Angiopathies ,Platelet Aggregation Inhibitors - Abstract
Aims: The objective of the study is to determine the demographics and the in-hospital outcome of diabetic and non-diabetic patients treated with percutaneous coronary interventions (PCI) in Europe, to report the type of equipment and technology used for PCI procedures in diabetics and to clarify whether the treatment of diabetic patients complies with current European Society of Cardiology (ESC) guidelines. Methods and results: A total of 14,458 patients treated with PCI were enrolled from 29 member countries of the ESC between June 2005 and January 2006. Data were collected on patient characteristics and treatment, using new Cardiology Audit and Registration Data standards. In total, 3,603 patients (24.9%) were diabetic. Diabetics were older, more often female and had a higher body mass index than non-diabetics. Diabetics had higher rates of hypercholesterolaemia and hypertension, while current smokers were more frequent in the non-diabetics. Diabetics also had significantly higher rates of previous cardiovascular events. Clopidogrel was administered only in 48.1% of diabetic patients before PCI, while IIb/IIIa inhibitors were 22.9% during PCI. At discharge, there was a major adjustment of treatment with increases in the use of Beta-blocker (80.4%), angiotensin converting enzyme inhibitor (ACEI, 71.3%) and statins (89.8%) compared with on admission (Beta-blocker 60.9%, ACEI 55.0%, statin 63.1%). Inhospital mortality was higher in diabetics (1.8% vs 1.2%) although the in-hospital MACCE rate was not significantly different (3.6% vs 3.0%, p=0.09). Conclusions: Diabetic patients treated with PCI were older with more comorbidity. According to ESC guideline, the under-usage of clopidogrel, GP IIb/IIIa inhibitors should be improved. PCI is now taken as a good opportunity to adjust the use of appropriate medication. © Europa Edition. All rights reserved.
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- 2009
3. RELATIONSIP BETWEEN CAROTID AND CARDIAC ULTRASONOGRAPHIC CHANGES AND RISK FACTORS IN HEMODIALYSIS PATIENTS.
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Budurea, C., Budurea, Claudia, Racasan, Simona, Lotrean, Lucia, Patiu, I. M., and Gherman-Caprioara, Mirela
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CARDIOVASCULAR diseases , *HEMODIALYSIS patients , *ULTRASONIC imaging , *BIOMARKERS , *CAROTID artery , *DIABETES - Abstract
Cardiovascular disease is the leading cause of mortality in hemodialysis patients. Carotid and cardiac ultrasonographic abnormalities are the rule in these patients. The aim of this study is to evaluate the interrelation between these changes and cardiovascular risk factors in our patients. In 54 stable chronic hemodialysis patients current demographic and biochemical parameters were recorded. Ultrasonographic measurement of intima-media thickness, diastolic diameter of common carotid artery, evaluation of carotid atherosclerotic plaques and transthoracic ecocardiography with evaluation of left ventricular mass index and valvular calcifications were performed, and correlated with cardiovascular risk factors. We found a high frequency of ultrasonographic abnormalities. Remarkably, nontraditional cardiovascular risk factors such as malnutrition, anemia and calcium-phosphate imbalance seem more important than traditional risk factors such as age, gender, smoking, diabetes mellitus, arterial hypertension or obesity for these ultrasonographic changes in hemodialysis patients. [ABSTRACT FROM AUTHOR]
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- 2011
4. Leptin Is Associated with Testosterone, Nutritional Markers, and Vascular Muscular Dysfunction in Chronic Kidney Disease.
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Rusu CC, Kacso I, Moldovan D, Potra A, Tirinescu D, Ticala M, Orasan R, Budurea C, Anton F, Valea A, Bondor CI, and Carsote M
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- Humans, Female, Male, Middle Aged, Cross-Sectional Studies, Aged, Renal Dialysis adverse effects, Adult, Vasodilation, Pulse Wave Analysis, Leptin blood, Leptin metabolism, Renal Insufficiency, Chronic blood, Renal Insufficiency, Chronic metabolism, Renal Insufficiency, Chronic physiopathology, Renal Insufficiency, Chronic complications, Testosterone blood, Testosterone metabolism, Biomarkers blood
- Abstract
Chronic kidney disease (CKD) causes specific hormonal disturbances, such as variations in leptin and testosterone levels and function. These disturbances can promote errors in signaling interaction and cellular information processing and can be implicated in the pathogenesis of atherosclerosis. This study investigates the factors that affect leptin in CKD patients and examines how leptin is related to markers of vascular disease. We conducted a cross-sectional study of 162 patients with CKD in pre-dialysis and dialysis stages. We recorded clinical and laboratory data, including leptin, testosterone, and subclinical atherosclerosis markers like brachial-ankle pulse wave velocity (ba PWV) in pre-dialysis CKD patients and flow-mediated vasodilation (FMD) and nitroglycerin-mediated vasodilation (NMD) in hemodialysis (HD) patients. Leptin was significantly correlated with testosterone in CKD pre-dialysis stages ( p < 0.001) and also in HD ( p = 0.026), with adipose tissue mass in pre-dialysis stages ( p < 0.001), and also in HD ( p < 0.001). In women HD patients, leptin correlated with NMD ( p = 0.039; r = -0.379); in all HD patients, leptin correlated with C reactive protein ( p = 0.007; r = 0.28) and parathormone ( p = 0.039; r = -0.220). Our research emphasizes the connection between leptin, adipose tissue, and testosterone in all stages of CKD. Leptin was associated with NMD in HD women and correlated with inflammatory syndrome and parathyroid hormone in all HD patients.
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- 2024
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5. Triiodothyronine and Protein Malnutrition Could Influence Pulse Wave Velocity in Pre-Dialysis Chronic Kidney Disease Patients.
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Rusu CC, Kacso I, Moldovan D, Potra A, Tirinescu D, Ticala M, Rotar AM, Orasan R, Budurea C, Barar A, Anton F, Valea A, Bondor CI, and Ticolea M
- Abstract
Cardiovascular diseases (CVD) are the first cause of chronic kidney disease (CKD) mortality. For personalized improved medicine, detecting correctable markers of CVD can be considered a priority. The aim of this study was the evaluation of the impact of nutritional, hormonal and inflammatory markers on brachial-ankle Pulse Wave Velocity (PWV) in pre-dialysis CKD patients. A cross-sectional observational study was conducted on 68 pre-dialysis CKD patients (median age of 69 years, 41.2% with diabetes mellitus, 52.9% male). Laboratory data were collected, including levels of prolactin, triiodothyronine, TGF α, IL-6, and IL-1β. The high values of brachial-ankle PWV were associated with reduced muscle mass ( p = 0.001, r = -0.44), low levels of total cholesterol ( p = 0.04, r = -0.26), triglycerides ( p = 0.03, r = -0.31), triiodothyronine ( p = 0.04, r = -0.24), and prolactin ( p = 0.02, r = -0.27). High PWV was associated with advanced age ( p < 0.001, r = 0.19). In the multivariate analysis, reduced muscle mass ( p = 0.018), low levels of triiodothyronine ( p = 0.002), and triglycerides ( p = 0.049) were significant predictors of PWV, but age ( p < 0.001) remained an important factor. In conclusion, reduced triiodothyronine together with markers of malnutrition and age were associated with PWV in pre-dialysis CKD patients.
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- 2023
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6. Correlation between Volumes Determined by Echocardiography and Cardiac MRI in Controls and Atrial Fibrillation Patients.
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Manole S, Budurea C, Pop S, Iliescu AM, Ciortea CA, Iancu SD, Popa L, Coman M, Szabó L, Coman V, and Bálint Z
- Abstract
Aims: We aimed to compare cardiac volumes measured with echocardiography (echo) and cardiac magnetic resonance imaging (MRI) in a mixed cohort of healthy controls (controls) and patients with atrial fibrillation (AF)., Materials and Methods: In total, 123 subjects were included in our study; 99 full datasets were analyzed. All the participants underwent clinical evaluation, EKG, echo, and cardiac MRI acquisition. Participants with full clinical data were grouped into 63 AF patients and 36 controls for calculation of left atrial volume (LA Vol) and 51 AF patients and 30 controls for calculation of left ventricular end-diastolic volume (LV EDV), end-systolic volume (ESV), and LV ejection fraction (LV EF)., Results: No significant differences in LA Vol were observed ( p > 0.05) when measured by either echo or MRI. However, echo provided significantly lower values for left ventricular volume ( p < 0.0001). The echo LA Vol of all the subjects correlated well with that measured by MRI (Spearmen correlation coefficient r = 0.83, p < 0.0001). When comparing the two methods, significant positive correlations of EDV (all subjects: r = 0.55; Controls: r = 0.71; and AF patients: r = 0.51) and ESV (all subjects: r = 0.62; Controls: r = 0.47; and AF patients: r = 0.66) were found, with a negative bias for values determined using echo. For a subgroup of participants with ventricular volumes smaller than 49.50 mL, this bias was missing, thus in this case echocardiography could be used as an alternative for MRI., Conclusion: Good correlation and reduced bias were observed for LA Vol and EF determined by echo as compared to cardiac MRI in a mixed cohort of patients with AF and healthy volunteers. For the determination of volume values below 49.50 mL, an excellent correlation was observed between values obtained using echo and MRI, with comparatively reduced bias for the volumes determined by echo. Therefore, in certain cases, echocardiography could be used as a less expensive, less time-consuming, and contraindication free alternative to MRI for cardiac volume determination.
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- 2021
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7. EEG spectral changes induced by hemodialysis.
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Florea B, Orasan R, Budurea C, Patiu I, Demeny H, Bondor CI, Vécsei L, and Beniczky S
- Abstract
Objective: To investigate the EEG spectral changes induced during hemodialysis in patients with chronic kidney disease (CKD), and to identify the risk factors associated with changes in the Central Nervous System (CNS) during hemodialysis. Paradoxical neurological deterioration at the end of hemodialysis sessions, known as dialysis disequilibrium syndrome (DDS) has been described, but previous studies on EEG spectral changes during hemodialysis were controversial., Methods: We performed quantitative EEG spectral analysis in 56 consecutive patients who underwent hemodialysis. We compared EEG at the start and at the end of the hemodialysis, and we correlated the spectral changes with the biochemical and clinical characteristics of the patients, using multivariate analysis., Results: At the end of hemodialysis sessions, we found a significant increase in total EEG power, relative power in delta frequency band and the ratio of delta-theta/alpha-beta power. EEG spectral changes were associated with younger age, recent start of hemodialysis therapy, level of uremia and lower level of glycaemia., Conclusions: Quantitative EEG spectral analysis showed that hemodialysis induced slowing of the EEG background activity. These changes were associated with risk factors of DDS., Significance: EEG spectral changes are potential biomarkers for monitoring CNS function during hemodialysis., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V.)
- Published
- 2021
- Full Text
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8. Ghrelin and acyl ghrelin levels are associated with inflammatory and nutritional markers and with cardiac and vascular dysfunction parameters in hemodialysis patients.
- Author
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Rusu CC, Racasan S, Moldovan D, Potra A, Tirinescu D, Budurea C, Orasan R, Patiu IM, Bondor C, Vladutiu D, Delean D, Danu A, and Kacso IM
- Subjects
- Aged, Biomarkers blood, Cholesterol blood, Comorbidity, Correlation of Data, Cross-Sectional Studies, Female, Ghrelin blood, Humans, Male, Middle Aged, Nutritional Status, Predictive Value of Tests, Renal Dialysis methods, Romania epidemiology, Triglycerides blood, Cardiovascular Diseases epidemiology, Cardiovascular Diseases metabolism, Cardiovascular Diseases physiopathology, Interleukin-1beta blood, Kidney Failure, Chronic epidemiology, Kidney Failure, Chronic metabolism, Kidney Failure, Chronic physiopathology, Kidney Failure, Chronic therapy, Muscle, Smooth, Vascular metabolism, Muscle, Smooth, Vascular physiopathology, Natriuretic Peptide, Brain blood, Peptide Fragments blood, Renal Dialysis adverse effects
- Abstract
Purpose: Exogenous ghrelin is associated with cardiovascular protection in experimental and human studies. Nevertheless ESRD patients have increased ghrelin levels and severe cardiovascular comorbidities. This study aims to elucidate the metabolic factors influencing endogenous ghrelin/acyl ghrelin levels and to analyze the relation between endogenous ghrelin/acyl ghrelin levels and cardiac and vascular function markers in hemodialysis patients., Methods: The cross-sectional study was conducted in hemodialysis patients (n = 88); 50 of them were men, mean age 61.1 ± 13.5 years, 17% had diabetes. We assessed nutritional and inflammatory status and analyzed the determinants of ghrelin/acyl ghrelin and their relation with cardiac and vascular function., Results: Ghrelin is correlated with IL-1β (r = 0.88, p < 0.0001), triglycerides, total cholesterol (TC), and Kt/V. IL-1β is the strongest predictor of ghrelin levels (p < 0.0001). Acyl ghrelin is correlated with TC (r = 0.36, p = 0.001), LDL-cholesterol, serum bicarbonate, body mass index. TC is the strongest predictor for acyl ghrelin levels (p = 0.038). Patients with high ghrelin levels had significantly decreased nitroglycerin-mediated dilation (p = 0.05) and higher IL-1β levels (p < 0.001); increased NT-proBNP is associated with lower levels of acyl ghrelin (r = - 0.33, p = 0.02) in male patients., Conclusion: The inflammatory marker IL-1β is in our study the strongest predictor of ghrelin levels while the nutritional marker-total cholesterol is the strongest predictor for acyl ghrelin levels in HD patients. High endogenous ghrelin level is associated with high IL-1β and with vascular smooth muscle cell dysfunction. Low acyl ghrelin level is associated with high NT-proBNP (a cardiac dysfunction marker) in male HD patients. There is a direct correlation between endogenous ghrelin level and inflammatory markers, which is not related with cardiovascular protection.
- Published
- 2018
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9. The metabolic hormone FGF21 is associated with endothelial dysfunction in hemodialysis patients.
- Author
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Rusu CC, Racasan S, Kacso IM, Moldovan D, Potra A, Tirinescu D, Budurea C, Orasan R, Patiu IM, Bondor CI, Vladutiu D, and Caprioara MG
- Subjects
- Aged, Cholesterol, HDL blood, Cross-Sectional Studies, Cytokine TWEAK, Female, Humans, Male, Middle Aged, Renal Dialysis, Renal Insufficiency therapy, Skinfold Thickness, Systole, Triglycerides blood, Blood Pressure, Endothelium physiopathology, Fibroblast Growth Factors blood, Renal Insufficiency blood, Tumor Necrosis Factors blood, Vasodilation
- Abstract
Purpose: Finding new, reliable biomarkers of cardiovascular risk in hemodialysis (HD) patients is of utmost importance. Fibroblast growth factor 21 (FGF21) has been recently associated with atherosclerosis in the general population. The relationship between markedly elevated FGF21 levels in HD patients and endothelial dysfunction is unknown. The aim of the study was to assess the determinants of FGF21, the correlation between FGF21 and tumor necrosis factor TNF-like weak inducer of apoptosis (sTWEAK) and the correlation between FGF21 and endothelial dysfunction in HD patients., Methods: A cross-sectional observational study was conducted in 70 HD patients (mean age 59.9 ± 12.5 years, 14.3% diabetes mellitus, 57.1% male) from Nefromed Dialysis Center Cluj. We registered clinical and biological data, and serum FGF21 levels were measured by ELISA. Endothelial function was evaluated by brachial flow-mediated dilation (FMD). An analysis based on stratification of FGF21 values into quartiles was performed., Results: FGF21 levels were directly correlated with sTWEAK, tricipital skinfold thickness (TST), systolic blood pressure (SBP), total cholesterol and triglycerides. In multivariate linear analysis, only sTWEAK and SBP remained significantly associated with FGF21. FGF21 values in the inferior quartile were directly correlated with HDL-cholesterol, while FGF21 values in the superior quartile were directly correlated with SBP, pulse pressure and sTWEAK. FMD was significantly higher in the inferior quartile as compared to the superior quartile., Conclusions: High FGF21 values in our patients are correlated with atherosclerosis risk factors: hypercholesterolemia, hypertriglyceridemia, hypertension, increased TST and increased levels of sTWEAK. Endothelial dysfunction is associated with high FGF21 in HD patients.
- Published
- 2017
- Full Text
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