T-MACS score vs HEART score identification of major adverse cardiac events in the emergency department.

BACKGROUND: Ischemic heart disease is the leading cause of mortality worldwide, and its prevalence is rising. OBJECTIVE: The goal of this study was to evaluate the HEART and T-MACS scores for predicting major cardiac events (MACE) in patients presenting to the emergency department with chest pain. METHOD: This study was single center and prospectively conducted. The demographic information, T-MACS and HEART scores of the participants were recorded and calculated. Acute myocardial infarction (AMI), mortality, and the need for coronary revascularization were considered as major adverse cardiac events (MACEs). The statistical analysis was carried out using SPSS (IBM Statistics, New York) version 24, and significance was determined at the p < 0.05 level. RESULTS: The 514 patients included in our study had a mean age of 52.01 ± 19.10 years, with 55.3% were female and 44.7% was male. A total of 78(%15.1) cases were diagnosed with AMI. Fifty patients (%9.7) underwent percutaneous coronary intervention, 12 (%2.3) patients underwent coronary artery by-pass graft, and 8 (%1.5) patients died within a one-month period. The sensitivity and negative predictive values of the T-MACS score for the very low risk classification were 93.90% (86.3%-98.0%) and 97.7% (94.7%-99.0%), respectively, and the sensitivity and negative predictive values of the HEART score for the low risk classification were 89.59% (77.3%-93.1%) and 96.6% (94.2%-98.0%), respectively. The specificity and positive predictive values for the high risk classification were 99.77% (98.7%-100%) and 97.2% (82.9%-99.6%), respectively for the T-MACS score and 95.14% (92.7%-97%) and 63.2% (51.4%-73.5%), respectively for the HEART score. CONCLUSION: The T-MACS score was shown to be more accurate than the HEART score in predicting low risk (very low risk for the T-MACS score), high risk, and anticipated one-month risk for MACE in patients coming to the emergency department with chest pain.

Comparison of the T-MACS score with the TIMI score in patients presenting to the emergency department with chest pain.

OBJECTIVES: Guidelines recommend the use of risk scoring in patients with chest pain. In this study, we aimed to compare the thrombolysis in myocardial infarction risk index (TIMI) score with the Troponin Only Manchester Acute Coronary Syndrome Score (T-MACS) score and to investigate the usability of the T-MACS score in the emergency department. METHODS: In our study; The TIMI and T-MACS scores of 310 patients with suspected NSTEMI who applied to the emergency department with chest pain and met the inclusion and exclusion criteria were prospectively evaluated. The primary outcome was MACE at 30 days including acute coronary syndromes, need for revascularization and deaths. Descriptive data and TIMI and T-MACS scores for predicting MACE and ACS was evaluated by calculating sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). ROC (Receiver Operating Characteristic) analysis was also performed to determine TIMI and T-MACS risk class. RESULTS: In our study, the mean age of the patients was 49.7 ± 19.4 years, the 1-month mortality rate was 1.3%, majör adverse cardiac event (MACE) rate was 6.5%, and acute coronary syndrome (ACS) rate was 5.5%. T-MACS risk class for predicting MACE sensitivity 100%, selectivity 51.72, PPV 12.5% (for very low risk), NPV was calculated as 100%; sensitivity for TIMI risk class low risk 35%, selectivity 88.97%, PPV was calculated as 17.9%, NPV was calculated as 95.2%. T-MACS high risk class for predicting MACE; sensitivity was 60%, selectivity 99.66%, PPV 92.3% and NPV was 97.3%; TIMI high risk class for predicting MACE; sensitivity was 10%, selectivity was 97.93%, PPV was 25% and NPV was 94%. CONCLUSIONS: The findings obtained in this study suggest that the T-MACS score is more successful than the TIMI score in determining the low risk (very low risk for T-MACS score), high risk, and estimated 1-month MACE risk in cases who presented to the emergency department with chest pain.

CRP/albumin, Glasgow prognostic score, and prognostic nutritional index as a predictor of mortality among delirium patients.

BACKGROUND: With the older populations growing each year, high mortality rates make delirium a valuable topic. AIM: We aimed to analyze the parameters that could predict 30 days of mortality of the patients diagnosed in the emergency department (ED) with delirium. METHODS: This retrospective study included 85 patients with a diagnosis of delirium. Glasgow prognostic score (GPS), prognostic nutritional index (PNI), and C-reactive protein (CRP)/albumin values of the patients and 30-day mortality rate were computed. The effectiveness of GPS, PNI, and CRP/albumin parameters in predicting 30-day mortality was analyzed. RESULTS: The findings showed that the optimal cut-off value for albumin as determined by Youden's index in estimation of 30-day mortality was ≤ 36.8 [AUC: 0.830 (95% CI: 0.733-0.903; p < 0.001), with a sensitivity of 85.71% and specificity of 76.36%], while cut-off value for CRP/albumin was > 0.974 [AUC: 0.753 (95% CI: 0.647-0.840; p < 0.001); with a sensitivity of 85.71% and specificity of 70.51%], and cut-off value for PNI was ≤ 39.05 [AUC: 0.850 (95% CI: 0.756-0.918; p < 0.001) sensitivity 71.43% and specificity 92.31%]. Significant effectiveness of the values of GPS (odds ratio (OR) = 6.69; 95% confidence interval (CI): 1.69-26.37), PNI (OR = 0.83; 95% CI: 0.74-0.95), albumin (OR = 0.82; 95% CI: 0.71-0.94), and CAD (OR = 10.5; 95% CI: 1.85-59.45) was observed for predicting mortality in univariate regression analysis. CONCLUSIONS: The findings obtained in this study suggest that GPS, PNI, and albumin parameters could be used to guide the clinician in predicting the 30-day mortality of patients diagnosed with delirium.

The Effect of the ABCB1(MDR-1) C3435T Polymorphism in Turkish Patients with Aspirin Resistance in Acute Ischemic Stroke.

Recurrence of thrombotic events during aspirin therapy is known as aspirin resistance (AR). This study aimed to investigate the rate of AR, the factors influencing AR in patients with acute ischemic stroke under regular aspirin use, and the relationship between AR and ABCB1 (MDR-1) C3435T (rs1045642) polymorphism. Throughout this multicenter prospective study, 174 patients with acute ischemic stroke who had been prescribed aspirin for at least one month due to the risk of vascular disease, along with 106 healthy volunteers, were included as part of the study group. The results of our study indicate that AR was detected in 21.3% of the patient group. According to the results of an analysis of the polymorphism of the ABCB1 C3435T in patients with AR compared to those with aspirin sensitivity, patients with AR possessed more heterozygous (CT) and homozygous genotypes (TT) than those with aspirin sensitivity (p = 0.001). Based on multivariate logistic regression analysis of factors affecting AR in acute ischemic stroke patients, hypertension (OR: 5.679; 95% CI: 1.144-28.19; p = 0.034), heterozygous (CT) genotype (OR: 2.557; 95% CI: 1.126-5.807; p = 0.025), increased platelet values (OR: 1.005; 95% CI: 1.001-1.009; p = 0.029), and CRP/albumin values (OR: 1.547; 95% CI: 1.005-2.382; p = 0.047) were found to be associated with a greater risk of AR. The presence of heterozygous (CT) genotype in the ABCB1 C3435T gene region in the Turkish population is associated with an increased risk of AR. When planning aspirin therapy, it is crucial to consider the ABCB1 (MDR-1) C3435T polymorphism.

Humoral responses to the CoronoVac vaccine in healthcare workers.

BACKGROUND: This study aimed to assess the immunoglobulin G (IgG) antibody response rate in emergency department (ED) healthcare workers (HCWs) and potential adverse effects after CoronaVac vaccination. METHODS: All included HCWs were grouped based on the previous history of coronavirus disease 2019 (COVID-19) and the number of vaccinations. Furthermore, the IgG antibody response was evaluated based on the sex and smoking status of HCWs. Those with a cut-off index of ≥1.00 after vaccination with CoronaVac were considered to have had COVID-19 and had an adequate humoral response. RESULTS: Among 224 ED HCWs, 18% experienced the adverse effects of CoronaVac vaccine, the most prevalent being pain in the injection site. The IgG antibody response rate was 20% after the first dose of vaccine, while the response rate increased to 90% after the second dose. Female HCWs had higher IgG response rates compared with male HCWs (53.8 [15.9-147.0] vs 31.2 [4.5-124.0]). Non-smokers had higher IgG response rate compared with smokers (49.0 [11.5-160.5] vs 23.1 [7.4-98.5]). CONCLUSION: A single dose of CoronaVac does not produce a sufficient antibody response; hence, two doses are recommended. Men have a lower IgG response compared with women. Smokers had a lower IgG response rate compared with non-smokers. Therefore, it may be necessary to carefully assess the humoral responses of men and smokers when implementing a community vaccination program.

The effectiveness of Glasgow-Blatchford Score in early risk assessment of hemodialysis patients.

In the emergency departments (ED), the incidence of admission is increasing gradually due to gastrointestinal system (GIS) complications of hemodialysis (HD) patients. With this increasing number of patients, there are many classification systems developed in early risk assessment before endoscopy. In this study, we aimed to evaluate the Glasgow-Blatchford Score's (GBS) effectiveness in HD patients with suspected GIS hemorrhage in the ED.The files of 169 patients who received HD treatment were retrospectively reviewed. 64 patients who were examined and treated for reasons other than GIS hemorrhage in the ED were excluded, and the files of a total of 105 were analyzed retrospectively. The demographic characteristics and laboratory values of the patients were recorded from the patient files. When the patients were evaluated according to GBS parameters, a significant difference was found between the two groups in terms of pulse pressure, systolic blood pressure, hemoglobin value, melena, and accompanying comorbid diseases (p < 0.05). Of the 16 patients who presented to the ED due to syncope, 2 were in the GIS hemorrhage (+) group, and 14 patients were in the control group. In this study, we aimed to show that the increase in the number of admissions in the ED due to complications secondary to HD treatment and the accompanying serious changes in laboratory parameters may cause misleading results in patients with suspected GIS hemorrhage, and it is necessary to plan comprehensive and multi-center studies on new alternative scoring systems to GBS in specific patient groups such as HD patients.

Predictors of mortality in patients less than 50 years old with coronavirus disease 2019: a multicenter experience in Istanbul.

OBJECTIVE: The objectives of this study were to identify predictors of mortality in young adult patients with coronavirus disease 2019 and to assess the link between blood type and mortality in those patients. METHODS: This multicenter retrospective study, which was conducted in seven training and research hospitals in Istanbul, involved young adults who aged ≥18 and <50 years and hospitalized with coronavirus disease 2019. RESULTS: Among 1,120 patients, confusion at admission (p<0.001) and oxygen saturation (p<0.001) were significantly predictive factors of mortality. Blood type O was significantly associated with mortality compared to those discharged from the hospital (p<0.001). Among co-morbidities, the most reliable predictive factors were cerebral vascular disease (p<0.001) and chronic renal failure (p=0.010). Among laboratory parameters, high C-reactive protein (p<0.001) and low albumin (p<0.001) levels were predictors of mortality in young adult patients with coronavirus disease 2019. CONCLUSIONS: SpO2 at admission was the best predictor of mortality in young adult patients with coronavirus disease 2019. The mortality rate was increased by cerebral vascular disease and chronic renal failure. Also, high C-reactive protein and low albumin levels were predictive factors of mortality. Moreover, blood type O was associated with a higher mortality rate than the other types.

Diagnostic Accuracy of InitiaI Chest X-Rays in Thorax Trauma.

OBJECTIVE: To evaluate the efficacy, sensitivity and specificity of chest x-ray as a diagnostic imaging tool in management of thorax traumas. STUDY DESIGN: Descriptive study. PLACE AND DURATION OF STUDY: Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey, between December 2014 and December 2015. METHODOLOGY: Case records of patients admitted to the emergency department with thoracic trauma were retrospectively analysed through the hospital database. Plain postero-anterior chest X-rays and thorax computerised tomography (CT) scans were evaluated seperately by same radiologist. Accurcy of signs of thoracic trama was determined using CT scan as gold standard. RESULTS: Nine of 23 pneumothorax patients were diagnosed by chest X-ray. Sensitivity and specificity of PA chest X-ray in the diagnosis of pneumothorax was 39.1% and 100%, respectively. Positive predictive values of chest X-ray for diagnosis of pneumothorax was 100% and negative predictive value was 97.1%. Twenty-four patients had pleural effusions on CT scans, while only 15 could be diagnosed in chest X-rays. Chest X-rays were 62.5% sensitive and 100% specific with positive and negative predictive values of 100% and 98.1%, respectively. Twenty of 41 rib fractures were diagnosed with X-rays. Chest x rays had a 48.8% sensitivity and 100% specificity, and positive and negative predictive values were 100% and 95.6%, respectively. CONCLUSION: Chest X-ray should not be used as a sole diagnostic imaging tool for exclusion of pneumothorax, hemothorax, and lung contusion. Due to high predictive values of chest X-rays, they can be used for follow-up.

Humoral responses to the CoronoVac vaccine in healthcare workers

ABSTRACT Background: This study aimed to assess the immunoglobulin G (IgG) antibody response rate in emergency department (ED) healthcare workers (HCWs) and potential adverse effects after CoronaVac vaccination. Methods: All included HCWs were grouped based on the previous history of coronavirus disease 2019 (COVID-19) and the number of vaccinations. Furthermore, the IgG antibody response was evaluated based on the sex and smoking status of HCWs. Those with a cut-off index of ≥1.00 after vaccination with CoronaVac were considered to have had COVID-19 and had an adequate humoral response. Results: Among 224 ED HCWs, 18% experienced the adverse effects of CoronaVac vaccine, the most prevalent being pain in the injection site. The IgG antibody response rate was 20% after the first dose of vaccine, while the response rate increased to 90% after the second dose. Female HCWs had higher IgG response rates compared with male HCWs (53.8 [15.9-147.0] vs 31.2 [4.5-124.0]). Non-smokers had higher IgG response rate compared with smokers (49.0 [11.5-160.5] vs 23.1 [7.4-98.5]). Conclusion: A single dose of CoronaVac does not produce a sufficient antibody response; hence, two doses are recommended. Men have a lower IgG response compared with women. Smokers had a lower IgG response rate compared with non-smokers. Therefore, it may be necessary to carefully assess the humoral responses of men and smokers when implementing a community vaccination program.

Predictors of mortality in patients less than 50 years old with coronavirus disease 2019: a multicenter experience in Istanbul

SUMMARY OBJECTIVE: The objectives of this study were to identify predictors of mortality in young adult patients with coronavirus disease 2019 and to assess the link between blood type and mortality in those patients. METHODS: This multicenter retrospective study, which was conducted in seven training and research hospitals in Istanbul, involved young adults who aged ≥18 and <50 years and hospitalized with coronavirus disease 2019. RESULTS: Among 1,120 patients, confusion at admission (p<0.001) and oxygen saturation (p<0.001) were significantly predictive factors of mortality. Blood type O was significantly associated with mortality compared to those discharged from the hospital (p<0.001). Among co-morbidities, the most reliable predictive factors were cerebral vascular disease (p<0.001) and chronic renal failure (p=0.010). Among laboratory parameters, high C-reactive protein (p<0.001) and low albumin (p<0.001) levels were predictors of mortality in young adult patients with coronavirus disease 2019. CONCLUSIONS: SpO2 at admission was the best predictor of mortality in young adult patients with coronavirus disease 2019. The mortality rate was increased by cerebral vascular disease and chronic renal failure. Also, high C-reactive protein and low albumin levels were predictive factors of mortality. Moreover, blood type O was associated with a higher mortality rate than the other types.