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Batman A, Yazıcı D, Dikbaş O, Ağbaht K, Saygılı ES, Demirci İ, Bursa N, Ayas G, Anıl C, Cesur M, Korkmaz FN, Bahçecioglu AB, Çorapçıoğlu D, Erdoğan MF, Bostan H, Calapkulu M, Hepşen S, Uçan B, Çakal E, Güler BY, Haymana C, İpekçi SH, Aydın S, Sezer H, Özışık S, Deyneli O, Alagöl F, Tanakol R, Eroğlu M, Mutlu Ü, Hacışahinoğulları H, Üzüm AK, Demir C, Koç G, Fırat SN, Omma T, İnce N, Polat ŞB, Topaloğlu O, Aydın C, Çakır B, Bahadır ÇT, Güven M, Sözen M, Selek A, Cantürk Z, Çetinarslan B, Aydemir M, Taşkaldıran I, Bozkuş Y, İyidir ÖT, Haydardedeoğlu FE, Basmaz SE, Ünal MÇ, Demir T, Oğuz A, Çelik Ö, Yilmaz M, Cimsir A, Kayıhan S, Uc ZA, Tekin S, Topaloğlu Ö, Saydam BÖ, Ünsal YA, Özer Ö, Yorulmaz G, Uğur K, Çakır SD, Aşık M, Unubol M, Genc S, Andac B, Okur M, Dogan O, Karakiliç E, Kocabas GU, Kirac CO, Cansu GB, Uygur MM, Pekkolay Z, Öztürk S, Güngüneş A, Gürkan E, Keskin L, Çağlayan K, Günay YE, İmre E, Şener SY, Kalkan AT, Gök DE, Şahin M. Subacute THYROiditis Related to SARS-CoV-2 VAccine and Covid-19 (THYROVAC Study): A Multicenter Nationwide Study. J Clin Endocrinol Metab 2023; 108:e1013-e1026. [PMID: 37186260 DOI: 10.1210/clinem/dgad235] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 05/17/2023]
Abstract
CONTEXT The aims of the study are to compare characteristics of subacute thyroiditis (SAT) related to different etiologies, and to identify predictors of recurrence of SAT and incident hypothyroidism. METHODS This nationwide, multicenter, retrospective cohort study included 53 endocrinology centers in Turkey. The study participants were divided into either COVID-19-related SAT (Cov-SAT), SARS-CoV-2 vaccine-related SAT (Vac-SAT), or control SAT (Cont-SAT) groups. RESULTS Of the 811 patients, 258 (31.8%) were included in the Vac-SAT group, 98 (12.1%) in the Cov-SAT group, and 455 (56.1%) in the Cont-SAT group. No difference was found between the groups with regard to laboratory and imaging findings. SAT etiology was not an independent predictor of recurrence or hypothyroidism. In the entire cohort, steroid therapy requirement and younger age were statistically significant predictors for SAT recurrence. C-reactive protein measured during SAT onset, female sex, absence of antithyroid peroxidase (TPO) positivity, and absence of steroid therapy were statistically significant predictors of incident (early) hypothyroidism, irrespective of SAT etiology. On the other hand, probable predictors of established hypothyroidism differed from that of incident hypothyroidism. CONCLUSION Since there is no difference in terms of follow-up parameters and outcomes, COVID-19- and SARS-CoV-2 vaccine-related SAT can be treated and followed up like classic SATs. Recurrence was determined by younger age and steroid therapy requirement. Steroid therapy independently predicts incident hypothyroidism that may sometimes be transient in overall SAT and is also associated with a lower risk of established hypothyroidism.
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Affiliation(s)
- Adnan Batman
- Department of Internal Medicine, Division of Endocrinology and Metabolism, School of Medicine, Koc University, 34010 Istanbul, Turkey
| | - Dilek Yazıcı
- Department of Internal Medicine, Division of Endocrinology and Metabolism, School of Medicine, Koc University, 34010 Istanbul, Turkey
| | - Oğuz Dikbaş
- Department of Endocrinology and Metabolism, Giresun University School of Medicine, 28200 Giresun, Turkey
| | - Kemal Ağbaht
- Department of Endocrinology and Metabolism, Defne Hospital, 31030 Hatay, Turkey
| | - Emre Sedar Saygılı
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Faculty of Medicine, Canakkale Onsekiz Mart University, 17020 Canakkale, Turkey
| | - İbrahim Demirci
- Department of Endocrinology and Metabolism, Gulhane Training and Research Hospital, University of Health Sciences Turkey, 06010 Ankara, Turkey
| | - Nurbanu Bursa
- Department of Statistics Beytepe, Hacettepe University, 06230 Ankara, Turkey
| | - Görkem Ayas
- School of Medicine, Koc University, 34450 Istanbul, Turkey
| | - Cüneyd Anıl
- Department of Endocrinology and Metabolic Diseases, Güven Hospital, 06540 Ankara, Turkey
| | - Mustafa Cesur
- Department of Endocrinology and Metabolic Diseases, Güven Hospital, 06540 Ankara, Turkey
| | - Fatma Nur Korkmaz
- Department of Endocrinology and Metabolism, Ankara University, School of Medicine, 06050 Ankara, Turkey
| | - Adile Begüm Bahçecioglu
- Department of Endocrinology and Metabolism, Ankara University, School of Medicine, 06050 Ankara, Turkey
| | - Demet Çorapçıoğlu
- Department of Endocrinology and Metabolism, Ankara University, School of Medicine, 06050 Ankara, Turkey
| | - Murat Faik Erdoğan
- Department of Endocrinology and Metabolism, Ankara University, School of Medicine, 06050 Ankara, Turkey
| | - Hayri Bostan
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Diskapi Yildirim Beyazit Training and Research Hospital, 06110 Ankara, Turkey
| | - Murat Calapkulu
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Diskapi Yildirim Beyazit Training and Research Hospital, 06110 Ankara, Turkey
| | - Sema Hepşen
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Diskapi Yildirim Beyazit Training and Research Hospital, 06110 Ankara, Turkey
| | - Bekir Uçan
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Diskapi Yildirim Beyazit Training and Research Hospital, 06110 Ankara, Turkey
| | - Erman Çakal
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Diskapi Yildirim Beyazit Training and Research Hospital, 06110 Ankara, Turkey
| | - Bağdagül Yüksel Güler
- Department of Endocrinology and Metabolism, Gulhane Training and Research Hospital, University of Health Sciences Turkey, 06010 Ankara, Turkey
| | - Cem Haymana
- Department of Endocrinology and Metabolism, Gulhane Training and Research Hospital, University of Health Sciences Turkey, 06010 Ankara, Turkey
| | - Süleyman Hilmi İpekçi
- Department of Endocrinology, Hisar Intercontinental Hospital, 34768 Istanbul, Turkey
| | - Selami Aydın
- Department of Internal Medicine, Hisar Intercontinental Hospital, 34768 Istanbul, Turkey
| | - Havva Sezer
- Department of Internal Medicine, Division of Endocrinology and Metabolism, School of Medicine, Koc University, 34010 Istanbul, Turkey
| | - Seçil Özışık
- Department of Internal Medicine, Division of Endocrinology and Metabolism, School of Medicine, Koc University, 34010 Istanbul, Turkey
| | - Oğuzhan Deyneli
- Department of Internal Medicine, Division of Endocrinology and Metabolism, School of Medicine, Koc University, 34010 Istanbul, Turkey
| | - Faruk Alagöl
- Department of Endocrinology and Metabolism, VKV Amerikan Hospital-Koç University School of Medicine, 34365 Istanbul, Turkey
| | - Refik Tanakol
- Department of Endocrinology and Metabolism, VKV Amerikan Hospital-Koç University School of Medicine, 34365 Istanbul, Turkey
| | - Mustafa Eroğlu
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Balikesir University Faculty of Medicine, 10145 Balikesir, Turkey
| | - Ümmü Mutlu
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul Faculty of Medicine, Istanbul University, 34093 Istanbul, Turkey
| | - Hülya Hacışahinoğulları
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul Faculty of Medicine, Istanbul University, 34093 Istanbul, Turkey
| | - Ayşe Kubat Üzüm
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul Faculty of Medicine, Istanbul University, 34093 Istanbul, Turkey
| | - Canan Demir
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Atilim University School of Medicine, 06830 Ankara, Turkey
| | - Gönül Koç
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Ankara Training and Research Hospital, 06230 Ankara, Turkey
| | - Sevde Nur Fırat
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Ankara Training and Research Hospital, 06230 Ankara, Turkey
| | - Tülay Omma
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Ankara Training and Reasearch Hospital, 06230 Ankara, Turkey
| | - Nurcan İnce
- Department of Endocrinology and Metabolism, Ankara Yildirim Beyazit University Faculty of Medicine, Ankara City Hospital, 06800 Ankara, Turkey
| | - Şefika Burçak Polat
- Department of Endocrinology and Metabolism, Ankara Yildirim Beyazit University Faculty of Medicine, Ankara City Hospital, 06800 Ankara, Turkey
| | - Oya Topaloğlu
- Department of Endocrinology and Metabolism, Ankara Yildirim Beyazit University Faculty of Medicine, Ankara City Hospital, 06800 Ankara, Turkey
| | - Cevdet Aydın
- Department of Endocrinology and Metabolism, Ankara Yildirim Beyazit University Faculty of Medicine, Ankara City Hospital, 06800 Ankara, Turkey
| | - Bekir Çakır
- Department of Endocrinology and Metabolism, Ankara Yildirim Beyazit University Faculty of Medicine, Ankara City Hospital, 06800 Ankara, Turkey
| | - Çiğdem Tura Bahadır
- Department of Endocrinology and Metabolism, Amasya University, School of Medicine, 05100 Amasya, Turkey
| | - Mehmet Güven
- Department of Endocrinology and Metabolism, Sirnak State Hospital, 73000 Sirnak, Turkey
| | - Mehmet Sözen
- Department of Endocrinology and Metabolism, Kocaeli University, School of Medicine, 41000 Kocaeli, Turkey
| | - Alev Selek
- Department of Endocrinology and Metabolism, Kocaeli University, School of Medicine, 41000 Kocaeli, Turkey
| | - Zeynep Cantürk
- Department of Endocrinology and Metabolism, Kocaeli University, School of Medicine, 41000 Kocaeli, Turkey
| | - Berrin Çetinarslan
- Department of Endocrinology and Metabolism, Kocaeli University, School of Medicine, 41000 Kocaeli, Turkey
| | - Mustafa Aydemir
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Akdeniz University, School of Medicine, 07050 Antalya, Turkey
| | - Işılay Taşkaldıran
- Department of Endocrinology and Metabolism, Faculty of Medicine, Baskent University, 06790 Ankara, Turkey
| | - Yusuf Bozkuş
- Department of Endocrinology and Metabolism, Faculty of Medicine, Baskent University, 06790 Ankara, Turkey
| | - Özlem Turhan İyidir
- Department of Endocrinology and Metabolism, Faculty of Medicine, Baskent University, 06790 Ankara, Turkey
| | - Filiz Ekşi Haydardedeoğlu
- Department of Endocrinology and Metabolism, Faculty of Medicine, Baskent University, 79097 Adana, Turkey
| | - Seda Erem Basmaz
- Department of Endocrinology and Metabolism, Kocaeli Derince Training and Research Hospital, 41900 Kocaeli, Turkey
| | - Mehmet Çağrı Ünal
- Department of Endocrinology and Metabolism, Faculty of Medicine, Dokuz Eylul University, 35330 Izmir, Turkey
| | - Tevfik Demir
- Department of Endocrinology and Metabolism, Faculty of Medicine, Dokuz Eylul University, 35330 Izmir, Turkey
| | - Ayten Oğuz
- Department of Endocrinology and Metabolism, Faculty of Medicine, Biruni University, 34295 Istanbul, Turkey
| | - Özlem Çelik
- Department of Endocrinology and Metabolism, Faculty of Medicine, Acıbadem University, 34752 Istanbul, Turkey
| | - Merve Yilmaz
- Department of Endocrinology and Metabolism, Samsun State Hospital, 55060 Samsun, Turkey
| | - Aykut Cimsir
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Diskapi Yildirim Beyazit Training and Research Hospital, 06110 Ankara, Turkey
| | - Serdar Kayıhan
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Diskapi Yildirim Beyazit Training and Research Hospital, 06110 Ankara, Turkey
| | - Ziynet Alphan Uc
- Department of Endocrinology and Metabolism, Usak University, Usak Training and Research Hospital, 64300 Usak, Turkey
| | - Sakin Tekin
- Department of Endocrinology and Metabolism, Faculty of Medicine, Zonguldak Bulent Ecevit University, 67100 Zonguldak, Turkey
| | - Ömercan Topaloğlu
- Department of Endocrinology and Metabolism, Faculty of Medicine, Zonguldak Bulent Ecevit University Obesity and Diabetes Practice and Research Center, 67100 Zonguldak, Turkey
| | - Başak Özgen Saydam
- Department of Endocrinology and Metabolism, Ankara Yildirim Beyazit University, Yenimahalle Training and Research Hospital, 06370 Ankara, Turkey
| | - Yasemin Aydoğan Ünsal
- Department of Endocrinology and Metabolism, Ankara Yildirim Beyazit University, Yenimahalle Training and Research Hospital, 06370 Ankara, Turkey
| | - Özge Özer
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Eskisehir Osmangazi University, 26040 Eskisehir, Turkey
| | - Göknur Yorulmaz
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Eskisehir Osmangazi University, 26040 Eskisehir, Turkey
| | - Kader Uğur
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Fırat University, 23119 Elazıg, Turkey
| | - Sezin Doğan Çakır
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Istanbul Taksim Training and Research Hospital, 34433 Istanbul, Turkey
| | - Mehmet Aşık
- Endocrinologist, Private Office, Bodrum, 48400 Mugla, Turkey
| | - Mustafa Unubol
- Department of Endocrinology and Metabolism, School of Medicine, Adnan Menderes University, 09100 Aydin, Turkey
| | - Selin Genc
- Department of Endocrinology and Metabolism, School of Medicine, Inonu University, 44280 Malatya, Turkey
| | - Burak Andac
- Department of Endocrinology and Metabolism, School of Medicine, Trakya University, 22130 Edirne, Turkey
| | - Mine Okur
- Department of Endocrinology and Metabolism, School of Medicine, Trakya University, 22130 Edirne, Turkey
| | - Ozlem Dogan
- Department of Endocrinology and Metabolism, University of Health Sciences Turkey, Haseki Training and Research Hospital, 34096 Istanbul, Turkey
| | - Ersen Karakiliç
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Faculty of Medicine, Canakkale Onsekiz Mart University, 17020 Canakkale, Turkey
| | - Gokcen Unal Kocabas
- Department of Endocrinology and Metabolism, Faculty of Medicine, Ege University, 35100 Izmir, Turkey
| | - Cem Onur Kirac
- Department of Endocrinology and Metabolism, Kahramanmaras Necip Fazil City Hospital, 46050 Kahramanmaras, Turkey
| | - Güven Barış Cansu
- Department of Endocrinology and Metabolism, School of Medicine, Kutahya University of Health Sciences, 43100 Kutahya, Turkey
| | - Meliha Melin Uygur
- Department of Endocrinology and Metabolism, School of Medicine, Marmara University, Pendik Training and Research Hospital, 34899 Istanbul, Turkey
| | - Zafer Pekkolay
- Department of Endocrinology and Metabolism, School of Medicine, Dicle University, 21100 Diyarbakir, Turkey
| | - Sadettin Öztürk
- Department of Endocrinology and Metabolism, School of Medicine, Gaziantep University, 27850 Gaziantep, Turkey
| | - Aşkın Güngüneş
- Department of Endocrinology and Metabolism, School of Medicine, Kırıkkale University, 71300 Kırıkkale, Turkey
| | - Eren Gürkan
- Department of Endocrinology and Metabolism, School of Medicine, Hatay Mustafa Kemal University, 31001 Hatay, Turkey
| | - Lezzan Keskin
- Department of Endocrinology and Metabolism, School of Medicine, Malatya Turgut Ozal University, Malatya Training and Research Hospital, 44000 Malatya, Turkey
| | - Kenan Çağlayan
- Department of Endocrinology and Metabolism, School of Medicine, Baskent University Istanbul Hospital, 34662 Istanbul, Turkey
| | - Yasemin Emur Günay
- Department of Endocrinology and Metabolism, School of Medicine, Karadeniz Technical University, 61080 Trabzon, Turkey
| | - Eren İmre
- Department of Endocrinology and Metabolism, Dr Ersin Arslan Education and Research Hospital, 27010 Gaziantep, Turkey
| | - Selcuk Yusuf Şener
- Department of Endocrinology and Metabolism, Pendik Medikalpark Hospital, 34899 Istanbul, Turkey
| | - Ahmet Toygar Kalkan
- Department of Endocrinology and Metabolism, Kastamonu Research and Training Hospital, 37150 Kastamonu, Turkey
| | - Deniz Engin Gök
- Department of Endocrinology and Metabolism, Lokman Hekim Hospital, 06700 Ankara, Turkey
| | - Mustafa Şahin
- Department of Endocrinology and Metabolism, Ankara University, School of Medicine, 06050 Ankara, Turkey
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Keskin L, Karahan D, Yaprak B. Comparison of thyroid fine needle aspiration biopsy and ultrasonography results. Medicine (Baltimore) 2023; 102:e33822. [PMID: 37390290 PMCID: PMC10313267 DOI: 10.1097/md.0000000000033822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Accepted: 05/01/2023] [Indexed: 07/02/2023] Open
Abstract
Thyroid nodules are one of the most common health problems in the community. Although most of the nodules are benign, Fine needle aspiration biopsy (FNAB) is requested due to malignancy concerns. In this research, the aim was to make a comparison of the results of thyroid ultrasonography (USG) and FNAB for thyroid nodules. This study was conducted retrospectively on the data of 532 patients. Detail Edu ultrasonographic assessment was conducted before the FNAB procedure and FNAB was performed by an endocrinology specialist. FNAB results and Thyroid USG features were compared, and thyroid FNAB results were graded using the classification of World Health Organization Bethesda-2017. The average age of the individuals included in the research was 49.99 ± 13.65 (min = 18-max = 97). According to the 2017 Bethesda classification, 74.6% of FNAB results were benign, 16% follicular lesion of undated mined significance or A type of undated mined significance, 0.9% were malignant, and 1.1% were suspicious for malignancy. When USG findings were compared according to FNAB results, it was found that malignant lesions were significantly higher in single nodules (non- cystic and non- mixed lesions). Lesions with a single nodule on USG were found to be 3.6 times more likely to be malignant (OR 95% CI: 1.172-11.352). The gold standard method for the diagnosis the presence of thyroid nodules is thyroid fine needle aspiration biopsy with ultrasound guidance. Taking samples from the correct nodule and component increases its value. The presence of a single nodule from the thyroid USG features was found to be an important predictor of malignancy according to the biopsy results.
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Affiliation(s)
- Lezzan Keskin
- Turgut Ozal University, Malatya Training and Research Hospital, Internal Medicine Department, Malatya, Turkey
| | - Doğu Karahan
- Turgut Ozal University, Malatya Training and Research Hospital, Internal Medicine Department, Malatya, Turkey
| | - Bülent Yaprak
- Turgut Ozal University, Malatya Training and Research Hospital, Internal Medicine Department, Malatya, Turkey
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Yaprak B, Keskin L. Evaluation of microvascular complications in patients with new diagnosis type 2 diabetes. Eur Rev Med Pharmacol Sci 2023; 27:1601-1608. [PMID: 36876708 DOI: 10.26355/eurrev_202302_31403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/07/2023]
Abstract
OBJECTIVE The incidence of microvascular complications such as diabetic retinopathy, diabetic nephropathy and diabetic neuropathy has increased in newly diagnosed diabetes patients. The aim of this study was to determine the factors affecting the incidence of microvascular complications in newly diagnosed patients with type 2 diabetes. PATIENTS AND METHODS This study was conducted on 97 newly diagnosed type 2 DM patients who applied to Malatya Training and Research Hospital Endocrinology outpatient clinic between September 2021 and July 2022. The patient files were reviewed retrospectively and their age, height, weight, body mass index (BMI), fasting/postprandial blood glucose measurements, serum HDL cholesterol, LDL cholesterol, total cholesterol, triglyceride, HbA1c levels, glomerular filtration rate (GFR) and complications of retinopathy, nephropathy, and neuropathy were recorded. Mann-Whitney U, t-test, Kruskal-Wallis, Binary logistic regression analysis, and Chi-square analysis were used to analyze the data. RESULTS The mean age of the patients included in the study was 47.40±7.78 (min: 23 - max: 62). Non-proliferative retinopathy was observed in 74.2% of patients, proliferative retinopathy in 25.8%, diffuse neuropathy in 49.5% and mononeuropathy was detected in 9.3% of them. Fasting blood glucose, postprandial blood glucose and HbA1c values were found to be higher in patients with proliferative retinopathy than in patients without retinopathy. Fasting blood glucose, postprandial blood glucose and HbA1c values were found to be higher in patients with neuropathy than in patients without neuropathy. In addition, patients with mononeuropathy had statistically significantly higher HbA1c values than patients with diffuse-type neuropathy. It was found that the urine protein values of patients with mononeuropathy were significantly higher than those without neuropathy and those with diffuse neuropathy. Each 0.677-unit increase in HbA1c increases the risk of proliferative retinopathy 1.98-fold, and every 1.018-unit increase increases the risk of neuropathy 2.76-fold. Proliferative retinopathy and mononeuropathy rates were discovered to be higher in patients with a family history. CONCLUSIONS Microvascular complications are common in newly diagnosed T2DM patients and an increase in HbA1c is a significant risk factor. Every newly diagnosed T2DM patient should be screened for microvascular complications.
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Affiliation(s)
- B Yaprak
- Department of Internal Medicine, Turgut Ozal University, Malatya Training and Research Hospital, Malatya, Turkey.
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Yavuz DG, Yazan CD, Hekimsoy Z, Aydin K, Gokkaya N, Ersoy C, Akalın A, Topaloglu O, Aydogan BI, Dilekci ENA, Alphan Uc Z, Cansu GB, Ozsari L, Iyidir OT, Olgun ME, Keskin L, Mert M, Can B, Gungor K, Galip T, Cantürk Z, Elbuken G, Pekkolay Z, Kutbay NO, Yorulmaz G, Kalkan AT, Unsal YA, Yay A, Karagun B, Bozkur E. Assesment of attainment of recommended TSH levels and levothyroxine compliance in differentiated thyroid cancer patients. Clin Endocrinol (Oxf) 2022; 97:833-840. [PMID: 35639050 DOI: 10.1111/cen.14787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 04/19/2022] [Accepted: 05/03/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Thyroid-stimulating hormone (TSH) suppression treatment can induce signs and symptoms of hyperthyroidism and hypothyroidism due to inappropriate treatment or poor compliance to the treatment. The current study aimed to investigate TSH levels, frequency of being on target TSH, adherence to levothyroxine (LT4) suppression treatment in differentiated thyroid cancer (DTC) patients after surgery in a multicentric setting. DESIGN AND PATIENTS This multicentric cross-sectional study was conducted at 21 medical centres from 12 cities in Turkey. DTC patients followed at least one year in the same center included in the study. Clinical data, serum TSH, free thyroxine (FT4), thyroglobulin (Tg) and anti-Tg levels were recorded during the most recent visit. Body mass index, systolic and diastolic blood pressures, pulse rate were measured. LT4 doses were recorded and doses per kilogram of bodyweight were calculated. Pill ingestion habits recorded and adherence to the therapy were evaluated using the Morisky Medication Adherence Scale and categorized as good, moderate or poor compliant based on their scores. Risk stratification forpredicting the disease persistance and/or reccurence was assessed using the American Joint Committee on Cancer-7th edition thyroid cancer staging calculator. TSH serum concentrations were classified as severe suppression (TSH < 0.01 mU/L), moderate suppression (TSH: 0.01-0.1 mU/L), mild suppression (TSHL 0.1-0.5 mU/L), euthyroid (TSH: 0.5-4 mU/L) and hypothyroid (TSH > 4 mU/L). TSH levels can also be classified as on being on target, under the target, or beyond over the target, according to the American Thyroid Association recommendations. RESULTS A group of 1125 patients (F/M: 941/184, 50.7 ± 11.7 years) were included in the study. The mean LT4 daily dosage was 132.4 ± 39.6 mcg/day. TSH levels showed severe suppression in 99 (%8.8) patients, moderate suppression in 277 (%24.6) patients and mild suppression in 315 (%28) patients and euthyroid range in 332 (%29.5) patients and hypothyroid range in 97 (8.6%). TSH levels were in target in 29.2% of the patients 20.4% of the patients were undertreated, 50.4% overtreated. The daily LT4 dose and LT4 dose/kg were significantly higher in the severe suppression group (p < .001, p < .001). According to the Morisky scale, 564 patients (50.1%) were good compliant, 368 patients (32.7%) were moderate compliant, and 193 patients (17.1%) were noncompliant. Patients with poor compliance need a higher dose of LT4 compared to the good compliance group (p < .001). TSH levels of patients with good compliance were 0.67 ± 1.96 mU/L and TSH with poor compliance was 2.74 ± 7.47 mU/L (p < .001). TSH levels were similar in patients on fixed and alternating dosages. CONCLUSION In 29.2% of the DTC patients, serum TSH levels were at target levels. Remaining of the study group have TSH levels under or over treatment range, exposing the patient to medication side effects. Majorty of the study group 82.8% have good or moderate adherence to LT4 therapy. Reaching TSH targets requires simplified and applicable guidelines and following the guideline recommendations.
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Affiliation(s)
- Dilek Gogas Yavuz
- Department of Endocrinology and Metabolism, Marmara University School of Medicine, Istanbul, Turkey
| | - Ceyda D Yazan
- Department of Endocrinology and Metabolism, Marmara University School of Medicine, Istanbul, Turkey
| | - Zeliha Hekimsoy
- Department of Endocrinology and Metabolism, Celal Bayar University, Manisa, Turkey
| | - Kadriye Aydin
- Department of Endocrinology and Metabolism, Lutfi Kirdar Research and Training Hospital, Istanbul, Turkey
| | - Naile Gokkaya
- Department of Endocrinology and Metabolism, Lutfi Kirdar Research and Training Hospital, Istanbul, Turkey
| | - Canan Ersoy
- Department of Endocrinology and Metabolism, Uludag University School of Medicine, Bursa, Turkey
| | - Aysen Akalın
- Department of Endocrinology and Metabolism, Osmangazi University School of Medicine, Eskisehir, Turkey
| | - Omercan Topaloglu
- Department of Endocrinology and Metabolism, Kocaeli Derince Research and Training Hospital, Kocaeli, Turkey
| | - Berna I Aydogan
- Department of Endocrinology and Metabolism, Batman Research and Training Hospital, Batman, Turkey
| | - Esra N A Dilekci
- Department of Endocrinology and Metabolism, Bolu Abant Izzet Baysal University School of Medicine, Bolu, Turkey
| | - Ziynet Alphan Uc
- Department of Endocrinology and Metabolism, Usak Research and Training Hospital, Usak, Turkey
| | - Guven B Cansu
- Department of Endocrinology and Metabolism, Kutahya Health Sciences University, Kütahya, Turkey
| | - Levent Ozsari
- Department of Endocrinology and Metabolism, Sultan Abdulhamid Han Research and Training Hospital, Istanbul, Turkey
| | - Ozlem T Iyidir
- Department of Endocrinology and Metabolism, Baskent University School of Medicine, Ankara, Turkey
| | - Mehtap E Olgun
- Department of Endocrinology and Metabolism, Cukurova University School of Medicine, Adana, Turkey
| | - Lezzan Keskin
- Department of Endocrinology and Metabolism, Malatya Research and Training Hospital, Malatya, Turkey
| | - Meral Mert
- Department of Endocrinology and Metabolism, Bakirkoy Sadi Konuk Research and Training Hospital, Istanbul, Turkey
| | - Bulent Can
- Department of Endocrinology and Metabolism, Medeniyet University School of Medicine, Istanbul, Turkey
| | - Kaan Gungor
- Department of Endocrinology and Metabolism, Medeniyet University School of Medicine, Istanbul, Turkey
| | - Tayfun Galip
- Department of Endocrinology and Metabolism, Medical Park Pendik Hospital, Istanbul, Turkey
| | - Zeynep Cantürk
- Department of Endocrinology and Metabolism, Kocaeli University Faculty of Medicine, Kocaeli, Turkey
| | - Gulsah Elbuken
- Department of Endocrinology and Metabolism, School of Medicine, Namik Kemal University, Tekirdag, Turkey
| | - Zafer Pekkolay
- Department of Endocrinology and Metabolism, Dicle University School of Medicine, Diyarbakir, Turkey
| | - Nilufer O Kutbay
- Department of Endocrinology and Metabolism, Celal Bayar University, Manisa, Turkey
| | - Goknur Yorulmaz
- Department of Endocrinology and Metabolism, Osmangazi University School of Medicine, Eskisehir, Turkey
| | - Ahmet T Kalkan
- Department of Endocrinology and Metabolism, Osmangazi University School of Medicine, Eskisehir, Turkey
| | - Yasemin A Unsal
- Department of Endocrinology and Metabolism, Uludag University School of Medicine, Bursa, Turkey
| | - Adnan Yay
- Department of Endocrinology and Metabolism, Sultan Abdulhamid Han Research and Training Hospital, Istanbul, Turkey
| | - Baris Karagun
- Department of Endocrinology and Metabolism, Cukurova University School of Medicine, Adana, Turkey
| | - Evin Bozkur
- Department of Endocrinology and Metabolism, Bakirkoy Sadi Konuk Research and Training Hospital, Istanbul, Turkey
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Keskin L, Yaprak B. Comparison of the effect of liraglutide and metformin therapy on the disease regulation and weight loss in obese patients with Type 2 diabetes mellitus. Eur Rev Med Pharmacol Sci 2022; 26:6813-6820. [PMID: 36196729 DOI: 10.26355/eurrev_202209_29783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
OBJECTIVE Obesity and Type 2 diabetes mellitus are growing health problems all over the world. The aim of this study is the comparison of 3 mg liraglutide and metformin combination, metformin monotherapy on the blood glucose regulation, weight loss and lipid panel in the patients with Type 2 diabetes mellitus whose BMI is ≥ 30 kg/m2. PATIENTS AND METHODS 276 patients included in the study were divided into two groups (1:1); liraglutide (3 mg) + metformin combination (L+M) and metformin monotherapy (M) (2x1,000 mg) (exercise and diet were regulated in both groups). Patients' body composition measurements were performed and fasting blood glucose, postprandial blood glucose, HbA1c, triglyceride, total cholesterol, LDL, HDL levels were measured by TANITA device prior to the therapy and in the week 12 of the therapy. RESULTS The average age of 276 patients included in the study was 49.70±7.93 years. A statistically significant decrease was noted in weight, BMI, fasting blood glucose, postprandial blood glucose, HbA1c values of both groups at the end of the third month. 11.3 kg of weight was lost on average in L+M group (-12.3%); 4.5 kg of weight was lost in the monotherapy group (-4.9%). A decrease of 14.3% was seen in the body fat mass, 2.1% in the muscle mass in L+M group and a decrease of 4.4% in the body fat mass and 6.1% in the muscle mass in the monotherapy group. The decrease in the body fat was higher at a statistically significant level in L+M group and the decrease in the muscle mass was higher in the monotherapy group. HbA1c decreased by 17.9% in L+M group (-1.49±0.46, Cohen's d=2.68), 5.3% in the monotherapy group (-0.37±0.26, Cohen's d=0.90). The decrease in TG, total cholesterol, LDL was higher at a statistically significant level in L+M group. The increase in HDL level was higher in the monotherapy group (L+M=22.7%, M=35.4%). A weight loss that was over 10% occurred in 4.3% of the patients in the monotherapy group and 68.1% of the combined therapy group at the end of 12 weeks (95% C.I. OR=19.49-121.65). CONCLUSIONS The effect of the combination of liraglutide 3 mg and metformin on blood glucose regulation, weight loss (fat loss, muscle conservation) was found to be superior to the metformin monotherapy in the obese patients with Type 2 diabetes mellitus according to the early period results.
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Affiliation(s)
- L Keskin
- Division of Endocrinology and Metabolic Diseases, Department of Internal Medicine, Turgut Özal University, Malatya Training and Research Hospital, Malatya, Turkey.
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Bulut Arikan F, Özdemir FA, Şen D, Erdem S, Yörübulut S, Doğan H, Keskin L. TRPV2 POLYMORPHISMS INCREASE OR REDUCE THE RISK OF TYPE 2 DIABETES - HASHIMOTO THYROIDITIS COMORBIDITY. Acta Endocrinol (Buchar) 2020; 16:15-21. [PMID: 32685033 DOI: 10.4183/aeb.2020.15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Context Thyroid disorders are common in diabetics and related to severe diabetic complications. TRPV2 ion channels have crucial functions in insulin secretion and glucose metabolism which have an important role in the pathophysiology of diabetes. Also, they have a significant effect on various immunological events that are involved in the HT pathophysiology. Objective This study aimed to investigate rs14039 and rs4792742 polymorphisms of the TRPV2 ion channels in type 2 diabetes mellitus (T2DM, n=100) Hashimoto thyroiditis (HT, n=70) and comorbid T2DM and HT (T2DM+HT, n=100) patients and control (n=100). Design Case-control study. Subject and Methods RT-PCR genotyping was used to determine rs14039 and rs4792742 polymorphisms with DNA samples of subjects and appropriate primer and probes. Besides, required biochemical analyses were performed. Results It was determined that the frequencies of the rs14039 GG homozygote polymorphic genotype and the G allele were significantly higher in T2DM+HT patients compared to the control (p=0.03 and p=0.01, respectively) and that especially the GG genotype increases the risk of T2DM+HT 3.046-fold (p=0.01, OR=3.046). It was detected that the GG genotype increased the risk of HT 2.54-fold (p=0.05, OR=2.541). TRPV2 rs4792742 polymorphisms reduce the risk of HT and T2DM+HT comorbidity almost by half and have a protective effect against HT and T2DM+HT. Conclusion The rs14039 GG genotype of the TRPV2 gene significantly increases the risks of development of T2DM+HT and HT disorders, may have a significant role in the pathophysiology of these diseases, also leading to predisposition for their development. Conversely, rs4792742 polymorphic genotypes have a strong protective effect against the HT and T2DM+HT comorbidity.
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Affiliation(s)
- F Bulut Arikan
- Kırıkkale University, Faculty of Medicine, Dept. of Physiology, Elazig, Turkey
| | - F A Özdemir
- Kırıkkale University, Faculty of Medicine, Bingol University, Faculty of Science and Art, Dept. of Molecular Biology and Genetics, Elazig, Turkey
| | - D Şen
- Kırıkkale University, Faculty of Medicine, Fırat University, Faculty of Medicine, Dept. of Medical Genetics, Elazig, Turkey
| | - S Erdem
- Kırıkkale University, Faculty of Medicine, Dept. of Medical Biology, Elazig, Turkey
| | - S Yörübulut
- Kırıkkale University, Faculty of Medicine, Faculty of Science and Letters, Dept. of Statistics, Kırıkkale, Elazig, Turkey
| | - H Doğan
- Kırıkkale University, Faculty of Medicine, Private Hayat Hospital, Dept. of Internal Medicine, Elazig, Turkey
| | - L Keskin
- Kırıkkale University, Faculty of Medicine, Elazig Training and Research Hospital, Dept. of Endocrinology, Elazig, Turkey
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Yavuz DG, Yazıcı D, Keskin L, Atmaca A, Sancak S, Saraç F, Şahin İ, Dikbaş O, Hekimsoy Z, Yalın S, Uygur M, Yılmaz M, Yirmibeşcik S, Asmaz Ö. Out-of-Reference Range Thyroid-Stimulating Hormone Levels in Levothyroxine-Treated Primary Hypothyroid Patients: A Multicenter Observational Study. Front Endocrinol (Lausanne) 2017; 8:215. [PMID: 28955301 PMCID: PMC5600911 DOI: 10.3389/fendo.2017.00215] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2017] [Accepted: 08/10/2017] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Although levothyroxine (LT4) replacement therapy for hypothyroidism has been established as safe, inexpensive and effective, many studies from different countries reported out-of-reference range thyroid-stimulating hormone (TSH) values for the hypothyroid patients under LT4 treatment. The aim of this study was to determine TSH levels of primary hypothyroid patients under LT4 treatment and to assess self-reported compliance with daily LT4 intake in tertiary care centers in Turkey. DESIGN In this cross-sectional, observational study, adult patients with primary hypothyroidism, receiving LT4 treatment for at least 6 months, were included. The patients were from 12 tertiary care centers in 9 cities of Turkey. TSH and free T4 levels were recorded from patient files and self-reported compliance with daily LT4 intake was assessed by interviewing the subjects at the last visit. RESULTS A total of 1,755 subjects (46 ± 13 years; F/M: 89.9/10.1%) with primary hypothyroidism were enrolled. Of the hypothyroid subjects, 44.8% had out-of-reference range serum TSH levels. TSH values were over the reference range (TSH > 4 mIU/L) in 26.2% and were under the reference range (TSH < 0.5 mIU/L) in 18.6% of the patients. Total duration of LT4 treatment was 5.9 ± 4.7 years and mean dose was 1.2 ± 0.6 μg/kg/day. Non-compliant patients (31.1%) had higher TSH levels (6.9 ± 16 vs 3.8 ± 0.9 mIU/L, P = 0.01) compared to compliant patients. CONCLUSION The results of this study revealed that nearly half of the hypothyroid patients had out-of-reference range serum TSH values, despite under LT4 treatment. Compliance with LT4 treatment seems to be one of the major determinants to reach the target TSH levels in hypothyroid patients.
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Affiliation(s)
- Dilek Gogas Yavuz
- Marmara University, Istanbul, Turkey
- *Correspondence: Dilek Gogas Yavuz,
| | | | | | | | - Seda Sancak
- Fatih Sultan Mehmet Eǧitim Ve Araştırma Hastanesi, Istanbul, Turkey
| | | | | | - Oğuz Dikbaş
- Abant İzzet Baysal University, Düzce, Turkey
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Ayvaz G, Keskin L, Akin F, Dokmetas HS, Tasan E, Ar IB, Uren E. Real-life safety and efficacy of vildagliptin as add-on to metformin in patients with type 2 diabetes in Turkey--GALATA study. Curr Med Res Opin 2015; 31:623-32. [PMID: 25697921 DOI: 10.1185/03007995.2015.1019609] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To evaluate tolerability/safety and the efficacy of the combination of vildagliptin plus metformin in a real-life population of patients with type 2 diabetes mellitus (T2DM). RESEARCH DESIGN AND METHODS This multicenter, single-arm, 6 month, observational, prospective cohort study was conducted at 39 centers across Turkey. T2DM patients on vildagliptin and metformin for ≤4 weeks were enrolled regardless of their previous antidiabetic therapy. MAIN OUTCOME MEASURES Efficacy was evaluated by measuring hemoglobin A1c (HbA1c) levels. Tolerability/safety parameters evaluated included hypoglycemic events, gastrointestinal events, peripheral edema and weight gain. RESULTS This study enrolled 665 patients with a mean ± standard deviation (SD) age of 55.1 ± 10.2 years and female predominance (n = 394, 59.2%). Safety was assessed in all enrolled patients. Hypoglycemia was reported in 10 (1.5%) patients (95% confidence interval = 0.8-2.7%). Efficacy was assessed in 289 (43.5%) patients treated for 6 ± 1 months; these patients showed a mean decrease in HbA1c of 0.8% from baseline value of 7.8% (p < 0.001). The percentages of patients who achieved HbA1c targets of ≤6.5% and ≤7.0% were significantly increased, from 10.7% to 33.6% and from 22.1% to 52.6%, respectively (p < 0.001 each). The decrease in HbA1c was independent of baseline HbA1c (≤8% vs. 8-10% vs. ≥10%), age (≤65 vs. >65 years) and body mass index (<30 vs. ≥30 kg/m(2)) (p < 0.001 each). In total, 136 adverse events (AEs) were observed in 71 (10.7%) patients; 10 (1.5%) patients experienced hypoglycemia and gastrointestinal AEs were most commonly reported (n = 29, 4.4%). CONCLUSIONS In a 'real-life' setting, the vildagliptin and metformin combination was associated with significant improvements in reaching target HbA1c levels, even in elderly and obese patients with T2DM. Moreover, vildagliptin and metformin demonstrated a good overall tolerability/safety profile.
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Affiliation(s)
- Goksun Ayvaz
- Gazi University School of Medicine , Ankara , Turkey
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Fontsere N, Mestres G, Burrel M, Barrufet M, Montana X, Arias M, Ojeda R, Maduell F, Campistol JM, Nagaraja P, Rees D, Husein T, Chess J, Lin CC, Yang WC, Khosravi M, Kandil H, Cross J, Hopkins S, Collier S, Lopes D, Pereira S, Gomes AM, Ventura A, Martins V, Seabra J, Rothuizen TC, Damanik F, Visser MJT, Lavrijsen T, Cox MAJ, Moroni L, Rabelink TJ, Rotmans JI, Fontsere N, Cardozo C, Donate J, Soriano A, Muros M, Pons M, Mensa J, Campistol JM, Navarro-Gonzalez JF, Maduell F, Wijewardane A, Murley A, Powers S, Allen C, Baharani J, Wilmink T, Esenturk M, Zengin M, Dal M, Tahtal N, Shibata K, Shinzato T, Satta H, Nishihara M, Koguchi N, Kuji T, Kawata S, Kaneda T, Yasuda G, Scrivano J, Pettorini L, Rutigliano T, Ciavarella GM, De Biase L, Punzo G, Mene P, Pirozzi N, El Haggan W, Belazrague K, Ehoussou S, Foucher V, El Salhy M, Ouellet G, Davis J, Caron P, Leblanc M, Pettorini L, Romitelli F, Fazzari L, Scrivano J, Ortu G, Di Stasio E, Punzo G, Mene P, Pirozzi N, Loizzo G, Vigano SM, Bacchini G, Rocchi E, Sala V, Pontoriero G, Letachowicz K, Go biowski T, Kusztal M, Letachowicz W, Weyde W, Klinger M, Murley A, Wijewardane A, Powers S, Allen C, Hollingsworth L, Wilmink T, Baharani J, Roca-Tey R, Samon R, Ibrik O, Roda A, Gonzalez-Oliva JC, Martinez-Cercos R, Viladoms J, Renaud CJ, Lim EK, Seow TY, Teh HS, Tosic J, Jankovic A, Djuric P, Radovic Maslarevic V, Popovic J, Dimkovic N, Kazantzi A, Trigka K, Buono F, Laurino S, Toriello G, Di Luccio R, Galise A, Kim YO, Yoon SA, Kim YS, Choi SJ, Min JW, Cheong MA, Asano M, Oguchi K, Saito A, Onishi Y, Yamamoto Y, Fukuhara S, Akiba T, Akizawa T, Kurokawa K, Guedes Marques M, Ibeas J, Maia P, Ponce P, Chang KY, Park HS, Kim HW, Choi BS, Park CW, Yang CW, Jin DC, Likaj E, Seferi S, Caco G, Petrela E, Barbullushi M, Idrizi A, Thereska N, Lomonte C, Casucci F, Libutti P, Lisi P, Basile C, Ancarani P, Valsuani G, Cavallo L, Parodi D, Lorusso C, Renaud C, Lai BC, Tho S, Yeoh L, Guedes Marques M, Botelho C, Maia P, Ponce P, Yankovoy A, Alexandr S, Smoliacov A, Stepanov V, Rees D, Parker C, Davies P, Taylor S, Mikhail A, Kim YO, Yoon SA, Kim YS, Choi SJ, Min JW, Cheong MA, Gubensek J, Persic V, Vajdic B, Ponikvar R, Buturovic-Ponikvar J, Hadimeri U, Warme AV, Stegmayr B, Jankovic A, Suvakov S, Tosic J, Damjanovic T, Djuric P, Bajcetic S, Radovic-Maslarevic V, Popovic J, Simic T, Dimkovic N, Likaj E, Seferi S, Petrela E, Idrizi A, Rroji M, Barbullushi M, Thereska N, Chua HL, Kanda H, See SL, Liew NC, Tsuchida K, Tomo T, Fukasawa M, Kawashima S, Minakuchi J, Thanaraj V, Dhaygude A, Ikeda K, Forneris G, Cecere P, Pozzato M, Trogolo M, Vallero A, Mesiano P, Roccatello D, Esenturk M, Zengin M, Keskin L, Loizzo G, Vigano SM, Bacchini G, Rocchi E, Sala V, Pontoriero G, Casey JR, Hanson CS, Winkelmayer WC, Craig J, Palmer S, Strippoli G, Tong A, Ferrara D, Scamarda S, Bernardino L, Amico L, Lorito MC, Incalcaterra F, Visconti L, Visconti G, Valenza F, D'Amato F, Di Napoli A, Tazza L, Chicca S, Lapucci E, Silvestri P, Di Lallo D, Michelozzi P, Davoli M. DIALYSIS VASCULAR ACCESS. Nephrol Dial Transplant 2014. [DOI: 10.1093/ndt/gfu156] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Sahin I, Celik O, Celik N, Keskin L, Dogru A, Dogru I, Yürekli M, Yologlu S. Adrenomedullin: possible predictor of insulin resistance in women with polycystic ovary syndrome. J Endocrinol Invest 2012; 35:553-6. [PMID: 21791966 DOI: 10.3275/7872] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
The aim of the study was to investigate adrenomedullin (ADM) levels and its relation with insulin resistance in women with polycystic ovary syndrome (PCOS). Twenty-nine women with PCOS and 29 age- and body mass index (BMI)- matched control subjects were included in the study. PCOS was defined according to criteria by the Rotterdam European Society of Human Reproduction and Embryology/American Society for Reproductive Medicine (ESHRE/ASRM)-sponsored PCOS consensus workshop group. A full clinical and biochemical examination including basal hormones and metabolic profile was performed. Insulin resistance was calculated by using the homeostasis model assessment of insulin resistance index (HOMA-IR). Plasma ADM levels were measured by high performance liquid chromatographic (HPLC) method. Plasma ADM, fasting insulin levels and HOMA-IR were significantly higher in patients with PCOS than the control group. ADM levels were positively correlated with insulin levels and HOMA-IR index. The best cut-off value of ADM levels to identify the presence of insulin resistance (HOMA-IR≥2.7) was 30.44 ng/ml. Calculated odds ratio of insulin resistance by using logistic regression analysis, as predicted by ADM, was 0.15 (95% confidence interval, 0.037-0.628; p=0.009). In multiple regression analysis, ADM level was an independent predictor of HOMA-IR index. Our finding indicated that ADM levels increased in women with PCOS in accordance with HOMA-IR. ADM could be a significant independent determinant of insulin resistance in women with PCOS.
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Affiliation(s)
- I Sahin
- Endocrinology and Metabolism, Inönü University, Malatya, Turkey.
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Celik O, Yesilada E, Hascalik S, Celik N, Sahin I, Keskin L, Ozerol E. Angiotensin-converting enzyme gene polymorphism and risk of insulin resistance in PCOS. Reprod Biomed Online 2009; 20:492-8. [PMID: 20138007 DOI: 10.1016/j.rbmo.2009.12.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2009] [Revised: 08/26/2009] [Accepted: 11/30/2009] [Indexed: 11/15/2022]
Abstract
The aim of this study was to establish the frequency of angiotensin-converting enzyme (ACE) insertion (I) or deletion (D) gene polymorphism in women with polycystic ovary syndrome (PCOS) and to examine the association of this polymorphism with insulin resistance. A total of 32 women with PCOS and 31 healthy, age- and body mass index-matched controls were studied. Serum lipids, fasting glucose, insulin and other hormones concentrations were measured. Homeostasis model assessment was used to estimate insulin resistance (HOMA-IR). DNA was extracted from peripheral blood leukocytes and genotyping of ACE I/D polymorphism was carried out by polymerase chain reaction. ACE genotypes were distributed as follows: DD was present in 16 (50%), ID in 12 (37.5%) and II in four (12.5%) PCOS patients, and DD in seven (22.6%), ID in 20 (64.5%) and II in four (12.9%) of healthy subjects. The frequency of D and I alleles were found in 69% and 31% of the PCOS group and 55% and 45% in the control group, respectively. There were no significant differences regarding the genotypic distribution and allelic frequency between the groups. However the ACE DD genotype was significantly associated with serum insulin concentrations and HOMA-IR measurement (both P=0.005). ACE DD genotype is associated with an increased insulin resistance in women with PCOS.
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Affiliation(s)
- Onder Celik
- Departments of Obstetrics and Gynecology, Medical Faculty, Turgut Ozal Medical Center, Inonu University, Malatya, Turkey
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Sahin I, Alkan A, Keskin L, Cikim A, Karakas HM, Firat AK, Sigirci A. Evaluation of in vivo cerebral metabolism on proton magnetic resonance spectroscopy in patients with impaired glucose tolerance and type 2 diabetes mellitus. J Diabetes Complications 2008; 22:254-60. [PMID: 18413166 DOI: 10.1016/j.jdiacomp.2007.03.007] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2006] [Revised: 02/25/2007] [Accepted: 03/26/2007] [Indexed: 11/29/2022]
Abstract
The aim of this study was to investigate possible metabolic alterations in cerebral tissues on magnetic resonance spectroscopy (MRS) in patients with impaired glucose tolerance (IGT) and with type 2 diabetes mellitus (T2-DM). Twenty-five patients with T2-DM, 13 patients with IGT, and 14 healthy volunteers were included. Single-voxel spectroscopy (TR: 2000 ms, TE: 31 ms) was performed in all subjects. Voxels were placed in the frontal cortex, thalamus, and parietal white matter. N-acetylaspartate (NAA)/creatine (Cr), choline (Cho)/Cr, and myo-inositol (MI)/Cr ratios were calculated. Frontal cortical Cho/Cr ratios were increased in patients with IGT compared to control subjects. Parietal white matter Cho/Cr ratios were significantly higher in patients with IGT when compared to patients with T2-DM. In the diabetic group, frontal cortical MI/Cr ratios were increased, and parietal white matter Cho/Cr ratios were decreased when compared to the control group. Frontal cortical NAA/Cr and Cho/Cr ratios and parietal white matter Cho/Cr ratios were decreased in diabetic patients with poor glycemic control (A1C>10%). A1C levels were inversely correlated with frontal cortical NAA/Cr and Cho/Cr ratios and with parietal white matter Cho/Cr ratios. T2-DM and IGT may cause subtle cerebral metabolic changes, and these changes may be shown with MRS. Increased Cho/Cr ratios may suggest dynamic change in membrane turnover in patients with IGT. Diabetic patients with poor glycemic control may be associated with neuronal dysfunction/damage in brain in accordance with A1C levels and, in some, extend with insulin resistance.
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Affiliation(s)
- Ibrahim Sahin
- Department of Endocrinology and Metabolism, School of Medicine, Inonu University, TR-44069 Malatya, Turkey.
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Abstract
BACKGROUND Although previous studies have documented a variety of electrocardiogram (ECG) abnormalities in obesity, P-wave alterations, which represent an increased risk for atrial arrhythmia, have not been studied very well in these patients. The aim of the present study was to evaluate P-wave duration and P dispersion (Pd) in obese subjects, and to investigate the relationship between P-wave measurements, and the clinical and echocardiographic variables. METHODS The study population consisted of 52 obese and 30 normal weight control subjects. P-wave duration and P-wave dispersion were calculated on the 12-lead ECG. As echocardiographic variables, left atrial diameter (LAD), left ventricular end-diastolic, and end-systolic diameters (LVDD and LVSD), left ventricular ejection fraction (LVEF), interventricular septum thickness (IVST), left ventricular posterior wall thickness (LVPWT), and left ventricular mass (LVM) of the obese and the control subjects were measured by means of transthoracic echocardiography. RESULTS There were statistically significant differences between obese and controls as regards to Pmax (maximum P-wave duration) and Pd (P dispersion) (P < 0.001 and P < 0.001, respectively). Pmin (minimum P wave duration) was similar in both groups. Correlation analysis showed that Pd in the obese patients was related to any the clinical and echocardiographic parameters including BMI, LAD, LVDD, IVST, LVPWT, and LVM. CONCLUSION Our data suggest that obesity affects P-wave dispersion and duration, and changes in P dispersion may be closely related to the clinical and the echocardiographic parameters such as BMI, LAD, IVST, LVPWT, and LVM.
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Affiliation(s)
- Feridun Kosar
- Department of Cardiology, Inonu University, Faculty of Medicine, Turgut Ozal Medical Center, Malatya, Turkey.
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Taskapan MC, Keskin L, Sahin I, Ozyalin F, Atmaca H, Temel I, Taskapan H. Relationship between insulin resistance and malondialdehyde levels in dialysis patients. Ren Fail 2007; 29:649-51. [PMID: 17654332 DOI: 10.1080/08860220701392355] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Celik O, Sahin I, Celik N, Hascalik S, Keskin L, Ozcan H, Uckan A, Kosar F. Diagnostic potential of serum N-terminal pro-B-type brain natriuretic peptide level in detection of cardiac wall stress in women with polycystic ovary syndrome: a cross-sectional comparison study. Hum Reprod 2007; 22:2992-8. [PMID: 17855407 DOI: 10.1093/humrep/dem286] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND In addition to the negative effect on fertility, polycystic ovary syndrome (PCOS) has been associated with cardiac pathology. Brain natriuretic peptide (BNP) is a possible marker for cardiac risk, therefore we investigated whether N-terminal pro-B-type BNP (NT-proBNP) increases in women with PCOS compared with healthy women of comparable age and body mass index. METHODS Thirty women with PCOS and 30 healthy women not suffering from overt cardiac disease were involved in the study. Fasting insulin and serum NT-proBNP levels were measured, and M-Mode echocardiography was performed. Insulin resistance was calculated using the homeostasis model assessment insulin resistance index (HOMA-IR). RESULTS PCOS subjects had higher NT-proBNP levels than the control subjects (P < 0.001). Abnormal echocardiography indices were detected in 14 of the PCOS subjects (but none of the controls), including valvular heart disease in nine, diastolic dysfunction in two, right ventricular enlargement in one, right atrial enlargement in one and pulmonary hypertension in one. PCOS subjects (n = 30) showed an increased left ventricular mass (LVM) (P < 0.001) and left ventricular posterior wall thickness (LVPWT) (P = 0.006). In addition, NT-proBNP concentration was positively correlated with LVM (r = 0.587, P = 0.001) and negatively correlated with sex-hormone-binding globulin (r = -0.528, P = 0.003). There was a positive correlation between LVM and HOMA-IR (r = 0.295, P = 0.03) while LVPWT was positively correlated with fasting insulin and HOMA-IR (r = 0.335, P = 0.031 and r = 0.346, P = 0.045, respectively) in PCOS subjects (n = 30). CONCLUSION The present study demonstrated that the level of NT-proBNP was increased in PCOS subjects with asymptomatic heart disease.
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Affiliation(s)
- Onder Celik
- Department of Obstetrics and Gynecology, Medical Faculty, Turgut Ozal Medical Center, Inonu University, Malatya, Turkey.
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Cikim AS, Topal E, Harputluoglu M, Keskin L, Zengin Z, Cikim K, Ozdemir R, Aladag M, Yologlu S. Epicardial adipose tissue, hepatic steatosis and obesity. J Endocrinol Invest 2007; 30:459-64. [PMID: 17646719 DOI: 10.1007/bf03346328] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Hepatic steatosis is a common companion of obesity. Moreover, the measurement of epicardial adipose tissue (EAT) has been reported to be related with both obesity and insulin resistance. Therefore, we aimed to evaluate the relationship between hepatic steatosis, EAT and insulin resistance in obese patients. METHODS Sixty-three obese subjects were enrolled in the study. Patients were divided into 3 groups according to body mass index (BMI) as follows: 20 patients with 30 < or = BMI < 35 kg/m2 (Group 1, mean age 39.3+/-12.9 yr), 25 patients with 35 < or = BMI < 40 kg/m2 (Group 2, mean age 41.7+/-9.3 yr), and 18 patients with BMI > or = 40 kg/m2 (Group 3, mean age 36.8+/-13.9 yr). EAT and grade of hepatic steatosis were assessed sonographically. Anthropometrical measurements were assessed with the foot-to-foot bioelectrical impedance analysis. Insulin resistance was assessed according to basal insulin, quantitative insulin sensitivity check index (QUICKI) and homeostasis model assessment (HOMA) equations. RESULTS Although EAT was similarly higher in both groups 2 and 3, these groups were found to be similar in terms of the grade of hepatic steatosis. Both EAT and the grade of hepatic steatosis were correlated with whole body fat mass, abdominal adiposity, insulin resistance, and triglyceridemia but waist circumference was the only factor affecting EAT thickness. Highly sensitive C-reactive protein (hsCRP) was the only metabolic parameter that was significantly higher in Group 3 than in Group 1 (p=0.02). CONCLUSION Hepatic steatosis should be assessed as a valuable predictor that reflects the increments of whole body fat mass as well as abdominal adiposity. However, in an attempt to demonstrate marginal differences between patients with similar obesity levels, epicardial adipose tissue appears to be a more sensitive marker compared to hepatic steatosis.
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Affiliation(s)
- A Sertkaya Cikim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, University of Inonu, 44315 Malatya, Turkey.
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Taskapan MC, Taskapan H, Sahin I, Keskin L, Atmaca H, Ozyalin F. Serum leptin, resistin, and lipid levels in patients with end stage renal failure with regard to dialysis modality. Ren Fail 2007; 29:147-54. [PMID: 17365928 DOI: 10.1080/08860220601095827] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
UNLABELLED Little information is available on the relationship between serum resistin levels and other adipokines with serum lipid levels and insulin resistance in uremic patients under different dialysis modalities. METHODS This study investigated the effects of dialysis modality on serum leptin, adiponectin, resistin, interleukin 6 (IL-6), and tumor necrosis factor (TNF) alpha levels in age, sex, and total adipose tissue mass (TATM); matched 30 hemodialysis (HD) patients, 30 continuous peritoneal dialysis (CAPD) patients, and 30 healthy controls; and evaluated the relationship between these adipokines and dyslipidemia and insulin resistance. RESULTS Serum resistin, adiponectin, IL-6, TNF-alpha, and high sensitive C reactive protein (hsCRP) levels were significantly increased in dialysis patients compared to controls (p < 0.05). In CAPD patients, serum leptin, resistin, triglycerides, and total cholesterol levels were higher than those in HD patients (p < 0.05). Leptin levels were positively correlated with TATM, serum triglycerides, total cholesterol, and low density lipoprotein (LDLc) levels in both dialysis groups. Resistin levels were found to positively correlate with TATM and triglycerides in CAPD patients. No relationship was found between the homeostasis model assessment-insulin resistance index (HOMA-IR) and adipokines studied. CONCLUSION Serum leptin, resistin, triglycerides, and total cholesterol levels were higher in CAPD patients. Leptin levels were positively correlated with TATM, serum triglycerides, total cholesterol, and LDLc levels in dialysis patients. Resistin levels were positively correlated with TATM and triglycerides in CAPD patients. Glucose load during CAPD may be an important factor in increased in leptin, resistin, triglycerides, and total cholesterol levels in CAPD patients. These results highlight the importance of leptin and resistin as determinants of dyslipidemia, especially in CAPD patients.
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Affiliation(s)
- M Cagatay Taskapan
- Biochemistry Department, Turgut Ozal Medical Center of Inonu University Medical Faculty, Malatya, Turkey.
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Kaya E, Keskin L, Aydogdu I, Kuku I, Bayraktar N, Erkut MA. Oxidant/antioxidant parameters and their relationship with chemotherapy in Hodgkin's lymphoma. J Int Med Res 2006; 33:687-92. [PMID: 16372587 DOI: 10.1177/147323000503300611] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
This study investigated changing levels of serum oxidant/antioxidant with chemotherapy and their relation to treatment in 34 Hodgkin's lymphoma patients. The patient population consisted of 19 males and 15 females. Mean age was 30.41 +/- 12.08 years. All patients received the adriamycin, bleomycin, vincristine and dexamethasone (ABVD) treatment protocol. Blood samples were taken before treatment, and on days 1 and 7 during treatment for measurement of superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), catalase (CAT), malondialdehyde (MDA), nitric oxide (NO) and enzyme activities. After ABVD treatment, mean free radical levels were increased and antioxidant levels were significantly decreased in the serum. ABVD treatment results in an increase of free radical levels and a decrease of antioxidant levels in the serum of patients with Hodgkin's lymphoma.
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Affiliation(s)
- E Kaya
- Department of Haematology, Faculty of Medicine, Inonu University, Malatya, Turkey.
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