Tamer Turk

Objective Predicting postoperative atrial fibrillation (PoAF) in the preoperative period will provide a serious advantage in preventing the morbidity and mortality associated with this arrhythmia and in planning the treatment. In this study, we investigated the value of atrial electromechanical delay (AEMD) in predicting the development of PoAF. Methods A total of 93 patients who underwent isolated coronary artery bypass grafting (CABG) operation were included in this prospective study. Patients' demographic characteristics, laboratory parameters, echocardiographic data, and AEMD durations that could be measured by the co-use of electrocardiography and echocardiography were recorded. The patients at sinus rhythm during the postoperative period were identified as "Group 1", and those who developed PoAF were identified as "Group 2". Results PoAF incidence was 26.88% (n = 25). Left ventricle (LV) lateral AEMD, LV medial AEMD, right ventricle lateral AEMD, and left atrium (LA) lateral AEMD durations of Group 2 were significantly higher than Group 1 (p < 0.001, p = 0.004, p = 0.004, p < 0.001; respectively). In Univariate Logistic Regression Analysis, the age, hypertension, LA maximum volume, LA lateral AEMD and pulmonary artery pressure were significantly associated with PoAF development (p = 0.01, p = 0.004, p = 0.004, p = 0.001, p = 0.01; respectively). However, only LA lateral AEMD was found as an independent predictive factor for the development of PoAF in the Multivariate Logistic Regression Analysis (OR:1.03, 95% CI:1.001-1.06, p = 0.04). AUC was .741 for LA lateral AEMD in ROC Curve Analysis (95% CI: .633-.849, p < 0.001). Conclusions The development of PoAF can be predicted by AEMD durations measured in the preoperative period in patients undergoing isolated CABG.

OBJECTIVE: Many laboratory parameters allow to follow up the course of the disease and reveal its clinical severity, particularly in patients with coronavirus disease 2019 (COVID-19) pneumonia. In this study, we aimed to investigate the role of the blood urea nitrogen-to-albumin ratio in predicting the mortality in COVID-19 patients with moderate-to-severe disease who are hospitalized in the intensive care unit. METHODS: A total of 358 patients who were hospitalized in intensive care unit at our hospital between November 1, 2020 and May 15, 2021 were included in this study. During their course of intensive care, surviving patients were included in Group 1 and nonsurviving patients in Group 2. RESULTS: There were no statistically significant differences between the two groups in terms of gender, smoking, and chronic obstructive pulmonary disease rates. In multivariate logistic regression analysis, advanced age (OR 1.038, 95%CI 1.014-1.064, p=0.002), neutrophilto-lymphocyte ratio (OR 1.226, 95%CI 1.020-1.475, p=0.030), blood urea nitrogen-to-albumin ratio (OR 2.693, 95%CI 2.019-3.593, p<0.001), and chest computed tomography severity score (OR 1.163, 95%CI 1.105-1.225, p<0.001) values were determined as independent predictors for in-hospital mortality. CONCLUSION: In this study, we showed that the blood urea nitrogen-to-albumin ratio, which was previously shown as a predictor of mortality in patients with various pneumonia, was an independent predictor of mortality in patients with COVID-19 pneumonia.

Severe acute respiratory syndrome-associated coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), which has been considered a pandemic by the World Health Organization (WHO). Clinical manifestations of COVID-19 disease may differ, most cases are mild, but a significant minority of patients may develop moderate to severe respiratory symptoms, with the most severe cases requiring intensive care and/or mechanical ventilatory support. In this study, we aimed to identify validity of our modified scoring system for foreseeing the approach to the COVID-19 patient and the disease, the treatment plan, the severity of morbidity and even the risk of mortality from the clinician's point of view. In this single center study, we examined the patients hospitalized with the diagnosis of COVID-19 between 01/04/2020 and 01/06/2020, of the 228 patients who were between 20 and 90 years of age, and whose polymerase chain reaction (PCR) tests of nasal and pharyngeal swab samples were positive. We evaulated 228 (92 male and 136 female) PCR (+) patients. Univariate analysis showed that advanced age (p < 0.001), hemoglobin (p < 0.001), troponin-I (p < 0.001), C-reactive protein (CRP) (p < 0.001), fibrinogen (p < 0.001), HT (p = 0.01), CAD (p = 0.001), DM (p < 0.001), history of malignancy (p = 0.008), along with m-sPESI scores (p < 0.001) were significantly higher in patients that needed intensive care due to COVID-19 infection. In the multivariable logistic regression analysis, only the m-sPESI score higher than ≥ 2 was found to be highly significant in terms of indicating the need for ICU admission (AUC 0.948; 84.6% sensitivity and 94.6% specificity) (p < 0.001). With an increasing number of hospitalized patients, healthcare providers are confronting a deluge of lab results in the process of caring for COVID-19 patients. It is imperative to identify risk factors for mortality and morbidity development. The modified sPESI scoring system, which we put forward, is successful in predicting the course of the disease at the presentation of the patient with COVID-19 disease and predicting the need for intensive care with high specificity and sensitivity, can detect the need for intensive care with high specificity and sensitivity.

The coronavirus disease 2019 (COVID-19) pandemic has resulted in over 105 million confirmed cases and over 2.3 million deaths globally as of February 3, 2021. Cardiovascular problems due to COVID-19 infection include acute coronary syndrome (due to coronary occlusion, thrombosis), myocardial damage without coronary artery disease, arrhythmias, heart failure, pericardial effusion, and thromboembolic events. A 62-year-old male patient was admitted to our emergency department with a complaint of chest pain radiating to his back. The patient had a history of hospitalization for seven days in the outpatient clinic and 10 days in the intensive care unit due to COVID-19 infection with severe lung involvement. In contrast-enhanced thoracoabdominal CT, a dissection line starting from the ascending aorta and progressing to the iliac bifurcation was observed. Ascending aorta and transverse arch replacement was performed with a 30-mm polytetrafluoroethylene tube graft. The patient was discharged home 15 days postoperatively.

Biomarkers can aid in detecting and preventing clinical disease through the recognition of change in biological samples. The objective of this case-control study was to further the knowledge on the use of big toenail and hair samples as biomarkers for fluoride exposure. A total of 48 participants from an endemic (IC) and a non-endemic (SC) fluorosis region were included. Big toenail and hair samples were collected from each participant and the fluoride concentration was determined. The results of 42 participants were reported: 21 participants (11 males and 10 females, mean age 15.66 + 2.61 years) from IC and 21 participants (11 males and 10 females, mean age 15.06 + 0.79 years) from SC. The mean fluoride concentration of big toenail (2.34 ± 0.26 mg/kg) and hair (0.24 ± 0.04 mg/kg) in the endemic region was significantly higher than the mean fluoride concentration of big toenail (0.98 ± 0.08 mg/kg) and hair (0.14 ± 0.02 mg/kg) in the non-endemic region (p < 0.001 and p = 0.004, respectively). The Receiver Operating Characteristic (ROC) analysis showed that the Area Under the Curve (AUC) value was 0.889 for big toenail (p < 0.001) and 0.762 for hair (p = 0.004) samples. The fluoride assay for big toenails exhibits greater observed accuracy than does the fluoride assay for hair. Nail and hair samples can serve as biomarkers to detect biological fluoride exposure according to the data of this pilot study. Nevertheless, hair is less sensitive and specific as a biomarker when AUC values of big toenail and hair samples were compared.

Objectives: Sternal dehiscence is a frequent complication after cardiac surgery. Our study focused on the efficiency of a sternal cable system combined with conventional steel wires for sternal fixation in patients suffering from moderate or extreme obesity and undergoing cardiac surgery.Methods: Prospectively collected data from 22 male and 41 female patients (a mean body mass index [BMI] of 37.9 ± 2.5 kg/m2) who underwent major cardiac surgery via median sternotomy and sternal closure using a multifilament sternal cable system were retrospectively reviewed and analyzed.Results: All patients were closed with a conjunction of two sternal cables and two traditional steel wires. There were two mortalities. There were no occurrences of sternal dehiscence or deep mediastinitis. Three patients suffered superficial sternal wound infections. The mean hospitalization time was 8.4 ± 2.5 days. Conclusion: Our study showed that our surgical technique using a sternal cable system in combination with conventional wires decreased the incidence of sternal dehiscence in moderately and extremely obese patients.