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    Rationale, Design, and Methodology of the MORCOR-TURK Trial: Predictors of In-hospital MORtality in CORonary Care Patients in Turkey
    (Kare Publ, 2023) Kahraman, Fatih; Ersoy, Ibrahim; Yilmaz, Ahmet Seyda; Atici, Adem; Tekin, Alpin Mert; Acar, Burak; Kaya, Caglar
    Background: Coronary care units are sophisticated clinics established to reduce deaths due to acute cardiovascular events. Current data on coronary care unit mortality rates and predictors of mortality in Turkey are very limited. The MORtality predictors in CORonary care units in TURKey (MORCOR-TURK) trial was designed to provide information on the mortality rates and predictors in patients followed in coronary care units in Turkey. Methods: The MORCOR-TURK trial will be a national, observational, multicenter, and noninterventional study conducted in Turkey. The study population will include coronary care unit patients from 50 centers selected from all regions in Turkey. All consecutive patients admitted to coronary care units with cardiovascular diagnoses between 1 and 30 September 2022 will be prospectively enrolled. All data will be collected at one point in time, and the current clinical practice will be evaluated (ClinicalTrials.gov number NCT05296694). In the first step of the study, admission diagnoses, demographic characteristics, basic clinical and laboratory data, and in-hospital management will be assessed. At the end of the first step, the predictors and rates of in-hospital mortality will be documented. The second step will be in cohort design, and discharged patients will be followed up till 1 year. Predictors of short- and long-term mortality will be assessed. Moreover, a new coronary care unit mortality score will be generated with data acquired from this cohort. Results: The short-term outcomes of the study are planned to be shared by early 2023. Conclusion: The MORCOR-TURK trial will be the largest and most comprehensive study in Turkey evaluating the rates and predictors of in-hospital mortality of patients admitted to coronary care units.
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    Serum glucose-potassium ratio predicts inhospital mortality in patients admitted to coronary care unit
    (Assoc Medica Brasileira, 2024) Demir, Fulya Avci; Ersoy, Ibrahim; Yilmaz, Ahmet Seyda; Taylan, Gokay; Kaya, Emin Erdem; Aydin, Ertan; Karakayali, Muammer
    OBJECTIVE: The aim of our study was to determine the role of serum glucose-potassium ratio in predicting inhospital mortality in coronary care unit patients METHODS: This study used data from the MORtality in CORonary Care Units in Turkey study, a national, observational, multicenter study that included all patients admitted to coronary care units between September 1, 2022, and September 30, 2022. Statistical analyses assessed the independent predictors of mortality. Two models were created. Model 1 included age, history of heart failure, chronic kidney disease, hypertension, diabetes mellitus, and coronary artery disease. Model 2 included glucose-potassium ratio in addition to these variables. Multivariate regression and receiver operating characteristic analysis were performed to compare Model 1 and Model 2 to identify if the glucose-potassium ratio is an independent predictor of inhospital mortality. RESULTS: In a study of 3,157 patients, the mortality rate was 4.3% (n=137). Age (p=0.002), female gender (p=0.004), mean blood pressure (p<0.001), serum creatinine (p<0.001), C-reactive protein (p=0.002), white blood cell (p=0.002), and glucose-potassium ratio (p<0.001) were identified as independent predictors of mortality through multivariate regression analysis. The receiver operating characteristic analysis indicated that Model 2 had a statistically higher area under the curve than Model 1 (area under the curve 0.842 vs area under the curve 0.835; p<0.001). A statistically significant correlation was found between the inhospital mortality and glucose-potassium ratio (OR 1.015, 95%CI 1.006-1.024, p<0.001). CONCLUSION: Our study showed that the glucose-potassium ratio may be a significant predictor of inhospital mortality in coronary care unit patients.