Relationship between platelet/hemoglobin and radial thrombus in patients with coronary angiography via radial access.

Aim: To predict the development of radial artery thrombus (RAT) in patients with radial approach coronary angiography of platelet-to-hemoglobin ratio (PHR). Materials & methods: This study was designed to evaluate the relationship between RAT and PHR. A total of 1156 patients who had coronary angiography via the transradial approach between 2021 and 2022 in the authors' center were included in the study. Results: Radial thrombus was detected in 52 (4.5%) patients. PHR was higher in the group with thrombus and was statistically significant. In the regression model, PHR was an independent predictor of the development of radial thrombus (p = 0.007). Conclusion: High PHR may be an independent predictor of the development of radial thrombus.

Cardiac Parameters Better Predict ICU Admission and Short-Term Mortality in Hospitalized Patients With COVID-19.

Background COVID-19 is a multisystemic disease that affects many organs, and the use of some parameters is recommended both during hospitalization and follow-up. In this study, we investigated the relationship between blood (liver and kidney function tests, lactate, and D-dimer), infection (C-reactive protein (CRP), lymphocyte count, ferritin, and albumin), and cardiac (creatine kinase-myocardial band (CK-MB), troponin, and brain natriuretic peptide (BNP)) parameters with intensive care unit (ICU) admission and mortality. Materials and methods Patients hospitalized in Erzurum City Hospital with the diagnosis of COVID-19 between April 2020 and November 2022 were included in this retrospective study. The patient's files and electronic media records were retrospectively reviewed, and the patient's anamnesis, physical examination, clinical findings, biochemical parameters, and treatment methods were recorded. The ICU needs of the patients and the treatment processes in intensive care were found in the in-hospital records. The hospital records and six-month mortality data were obtained retrospectively with the necessary permissions. Thus, blood parameters and their relation to each other in terms of prognosis were evaluated in determining the six-month mortality rates of the patients and estimating the need for ICU. Results A total of 5100 patients were included in the study. The mean age of patients with mortality was 74.2 ± 11.2 and that without mortality was 59.9 ± 15.7 (p < 0.001). In the mortality (+) group, 61.5% of patients were male, and in the mortality (-) group, 47.4% of the patients were male (p < 0.001). The mean age of patients with ICU admission was 69.6 ± 13.6 and without ICU admission was 60.3 ± 15.9 years (p < 0.001). In the ICU admission (+) group, 60.5% of patients were male; and in the ICU admission (-) group, 47.2% of patients were male (p < 0.001). Death and ICU admission were observed more frequently in elderly and male patients (p < 0.001 for both mortality and ICU admission). Blood parameters were evaluated both in the mortality and ICU groups, and organ function tests, blood count parameters, inflammatory markers, and cardiac parameters were significantly associated with poor outcomes. Cox regression analysis showed that lactate, albumin, Ln(troponin), and Ln(BNP) were independent predictors of mortality and ICU admission. Receiver operating characteristics (ROC) curve analysis showed that Ln(troponin) and Ln(BNP) levels predicted the development of mortality and ICU admission better than other parameters. Discussion COVID-19 can cause problems in different systems as a result of an inflammatory response, secreted cytokines, hypercoagulability, and direct tissue damage. When treating patients, a more appropriate approach is to evaluate different parameters together rather than focusing on a single parameter and deciding accordingly. However, evaluating alterations in many parameters in a disease that affects many systems is difficult and increases the risk of mistakes. Although each blood parameter separately is important, it was observed that the cardiac parameters troponin I and BNP have better predictive values than others in predicting the course and prognosis of COVID-19. Conclusion Blood parameters are used in COVID-19 diagnosis, treatment, and follow-up. Although it is not primarily a cardiac disease, cardiac markers can provide better results in showing the course and prognosis of COVID-19.

A significant predictor of in-hospital and long-term mortality and progression in COVID-19 patients: The end-stage liver disease (MELD) score model.

The aim of this study is to investigate the relationship between the model for end-stage liver disease (MELD) score and disease progression and mortality in COVID-19 patients. The files of 4213 patients over the age of 18 who were hospitalized with the diagnosis of COVID-19 between March 20, 2020 and May 1, 2021 were retrospectively scanned. Sociodemographic characteristics, chronic diseases, hemogram and biochemical parameters at the time they were diagnosed with COVID-19 of the patients, duration of hospitalization, duration of intensive care unit (ICU), duration of intubation, in-hospital mortality from COVID-19 and outside-hospital mortality for another reason (within the last 1 year) and recurrent hospitalization (within the last 1 year) were recorded. The MELD scores of the patients were calculated. Two groups were formed as MELD score < 10 and MELD score ≥ 10. The rate of ICU, in-hospital mortality from COVID-19 and outside-hospital mortality from other causes, intubation rate, and recurrent hospitalization were significantly higher in the MELD ≥ 10 group. The duration of ICU, hospitalization, intubation were significantly higher in the MELD ≥ 10 group (p < 0.001). As a result of Univariate and Multivariate analysis, MELD score was found to be the independent predictors of ICU, in-hospital mortality, intubation, and recurrent hospitalization (p < 0.001). MELD score 18.5 predicted ICU with 99% sensitivity and 100% specificity (area under curve [AUC]: 0.740, 95% confidence interval [CI]: 0.717-0.763, p < 0.001) also MELD score 18.5 predicted in-hospital mortality with 99% sensitivity and 100% specificity (AUC: 0.797, 95% CI: 0.775-0.818, p < 0.001). The MELD score was found to be the independent predictors of in-hospital mortality, ICU admission, and intubation in COVID-19 patients.

Relationship Between Blood Lipid Levels and Mortality in Hospitalized COVID-19 Patients.

People with comorbid conditions are at increased risk of developing severe/fatal coronavirus disease 2019 (COVID-19). We aimed to investigate the relationship between lipid levels and mortality in patients hospitalized for COVID-19 infection. In this retrospective study, we collected the details of 5274 COVID-19 patients who were diagnosed using the polymerase chain reaction and/or computed tomography and were hospitalized between March and November 2020. Patients (n = 4118) whose blood lipid levels were checked within the first 24 h after hospitalization were included in the study. Multivariable cox proportional hazards regression was used to assess the relationship between lipid variables such as low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) and death. There was a statistically significant association between LDL-C, HDL-C, and TG levels and the risk of death (P =.002, <.001, and .035, respectively). Low and high LDL-C, low HDL-C, and high TG levels were negatively associated with COVID-19-related mortality. Blood lipid levels may be useful predictors of mortality in COVID-19 patients.