Mehmet Yildirim

Dr. Mehmet Yildirim

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 July 2018 in Journal of Clinical Laboratory Analysis
Verified
Journal Article
Closed access
PDF file
TKTezcan Kaya
Tezcan Kaya
SASeyyid Bilal Açıkgöz
Seyyid Bilal Açıkgöz
MYMehmet Yildirim
Mehmet Yildirim
ANAhmet Nalbant
Ahmet Nalbant
AAAyfer Erdoğan Altaş
Ayfer Erdoğan Altaş
HCHakan Cinemre
Hakan Cinemre

1 August 2021 in Respiratory Medicine
Verified
Journal Article
Closed access
BEBerrin Er
Berrin Er
MSMeltem Simsek
Meltem Simsek
MYMehmet Yildirim
Mehmet Yildirim
BHBurcin Halaci
Burcin Halaci
SOSerpil Ocal
Serpil Ocal
ATArzu Topeli
Arzu Topeli

6 December 2016 in Medical Principles and Practice
Verified
Journal Article
Open access
PDF file
SSSavas Sipahi
Savas Sipahi
SASeyyid Bilal Acikgoz
Seyyid Bilal Acikgoz
AGAhmed Bilal Genc
Ahmed Bilal Genc
MYMehmet Yildirim
Mehmet Yildirim
YSYalcin Solak
Yalcin Solak
ATAli Tamer
Ali Tamer
Objective: To evaluate the relationship of vitamin D status and vitamin D replacement therapy with glycemic control, serum uric acid (SUA) levels, and microalbuminuria (MAU) in patients with type 2 diabetes (T2DM) and chronic kidney disease (CKD). Subjects and Methods: A total of 1,463 patients with T2DM and CKD (aged 14-88 years), 927 females and 536 males, were included in this study. The serum data of 25-hydroxyvitamin D, i.e., 25(OH)D, level, SUA, hemoglobin (Hb)A1c, creatinine, estimated glomerular filtration rate, and urine albumin-to-creatinine ratio (UACR) were obtained from the medical records. The Mann-Whitney U test, the χ2 test, the Mantel-Haenszel test, and linear regression models were used for data analysis. Results: Vitamin D deficiency and insufficiency were evident in 770 (52.0%) and 357 (24.0%) patients, respectively. Median HbA1c levels (7.3 [IQR 3.9] vs. 6.5 [IQR 2.3]%; p < 0.01) were significantly higher in patients deficient in vitamin D than in those with a normal vitamin D status. A significantly low level of vitamin D was noted with a high UACR (β −0.01; 95% CI −0.01 to −0.001; p = 0.017) and HbA1c (β −1.1; 95% CI −1.6 to −0.6; p < 0.001), but with low levels of SUA (β 1.3; 95% CI 0.5-2.2; p = 0.002). Vitamin D replacement was associated with a significantly low level of HbA1c (7.4 [2.7] vs. 6.7 [1.9]%; p < 0.001]. Conclusion: In this study, there was a high prevalence of hypovitaminosis D among T2DM patients with CKD, with a higher UACR, higher HbA1c, and lower SUA being noted as playing a role in predicting a decrease in vitamin D levels and potential benefits of vitamin D replacement therapy on glycemic control in T2DM management.

1 May 2016 in The American Journal of Emergency Medicine
Verified
Journal Article
Closed access
SASeyyid Bilal Acikgoz
Seyyid Bilal Acikgoz
AGAhmet Bilal Genc
Ahmet Bilal Genc
SSSavas Sipahi
Savas Sipahi
MYMehmet Yildirim
Mehmet Yildirim
BCBehice Cinemre
Behice Cinemre
YSYalcin Solak
Yalcin Solak

1 April 2019 in Singapore Medical Journal
Verified
Journal Article
Closed access
SSS Sipahi
S Sipahi
AGAB Genc
AB Genc
SASb Acikgoz
Sb Acikgoz
MYMehmet Yildirim
Mehmet Yildirim
YAYe Aksoy
Ye Aksoy
MAM Altındis
M Altındis
In patients undergoing haemodialysis, cardiovascular mortality and morbidity, characterised by accelerated atherosclerosis and increased inflammation, are elevated. Salusins are newly defined molecules in the atherosclerotic processes, and while salusin-alpha (Sal-α) acts as an antiatherogenic factor, salusin-beta (Sal-β) has a proatherogenic role. Their roles are as yet undefined in patients undergoing haemodialysis. In this cross-sectional study, salusin levels, carotid intima-media thickness (CIMT) from the common carotid artery and pulse wave velocity (PWV) were measured for 180 patients undergoing haemodialysis and 90 healthy controls. Mean Sal-α and Sal-β levels in patients undergoing haemodialysis (Sal-α: 726.4 ± 578.7 pg/mL; Sal-β: 1,080.4 ± 757.1 pg/mL) and healthy controls (Sal-α: 325.8 ± 303.7 pg/mL; Sal-β: 268.1 ± 409.0 pg/mL) were determined. Negative correlation was observed between Sal-α levels and CIMT (patients undergoing haemodialysis: r = -0.330, p < 0.0001; healthy controls: r = -0.223, p = 0.035) and PWV (patients undergoing haemodialysis: r = -0.210, p = 0.005; healthy controls: r = -0.378, p < 0.0001) in both groups. In patients undergoing haemodialysis, positive correlation was observed between Sal-β/Sal-α ratio and CIMT (r = 0.190, p = 0.012) and PWV (r = 0.155, p = 0.041). On subgroup analysis, Sal-α levels were found to be low in patients with diabetes mellitus. Patients undergoing haemodialysis have higher Sal-β and Sal-α levels, and their higher Sal-β/Sal-α ratio, in comparison with healthy controls, might have cardiovascular risk implications.

10 October 2022 in Journal of Intensive Care Medicine
Verified
Journal Article
Closed access
MYMehmet Yildirim
Mehmet Yildirim
BHBurcin Halaci
Burcin Halaci
DYDeniz Yuce
Deniz Yuce
YGYunus Gunegul
Yunus Gunegul
EEEbru Ortac Ersoy
Ebru Ortac Ersoy
ATArzu Topeli
Arzu Topeli
Purpose: We aimed to evaluate the relation between admission COVID-19 associated hyperinflammatory syndrome (cHIS) score and intensive care unit (ICU) outcomes. Materials and Methods: Patients with laboratory confirmed COVID-19 admitted to our ICU between 20th March 2020-15th June 2021 were included. Patients who received immunomodulatory treatment except corticosteroids were excluded. Main outcomes were ICU mortality and invasive mechanical ventilation (IMV) requirement after ICU admission. Results: Three hundred and seventy patients with a median (IQR) age of 66 (56-77) were analyzed. Median admission cHIS score was 3 (2-4). A cHIS score ≥3 was found to be associated with ICU mortality (sensitivity = 0.63, specificity = 0.50; p < 0.01) and IMV requirement after ICU admission (sensitivity = 0.61, specificity = 0.51; p < 0.01). Patients with an admission cHIS score ≥3 (n = 199) had worse median admission APACHEII, SOFA scores and PaO2/FiO2 ratio than others (n = 171) (p < 0.01). IMV requirement after ICU admission (38.5% vs 26.1%;p = 0.03), ICU (36.2% vs 25.1%;p = 0.02), hospital (39.1% vs 26.9%;p = 0.01) and 28th day (28.1% vs 19.1%;p = 0.04) mortality were higher in patients with admission cHIS score ≥3 than others (p < 0.01). Age <65 years, malignancy and higher admission SOFA score were independent variables associated with admission cHIS score ≥3. Conclusion: Critically-ill COVID-19 patients with admission cHIS score ≥3 have worse disease severity and outcomes than other patients.