Predictive value of triglyceride/glucose index for cardiac outcomes in non-diabetic renal transplant recipients.

OBJECTIVES: Insulin resistance (IR) is associated with an increased risk of adverse cardiovascular outcomes. The triglyceride-glucose index (TyG index) is a reliable marker of IR. No study has examined the impact of the TyG index on major adverse cardiac and cerebrovascular events (MACCEs) in RTRs. Therefore, this study aimed to investigate the predictive value of the TyG index for MACCEs in RTRs. MATERIALS AND METHODS: Non-diabetic patients undergoing renal transplantation were retrospectively enrolled. The patients were divided into two groups according to MACCE development. The cut-off value of the TyG index for MACCE was conducted. RESULTS: The mean age of 522 patients was 41 (31-51) years, and 349 (66.9%) were male. During the 5.4-year follow-up, 84 (16%) MACCE were recorded. TyG index was significantly higher in the group that developed MACCE (p < 0,001). Cox regression analysis revealed that TyG index [HR: 3.297 (1.228-8.855), p = 0.018], left ventricle ejection fraction [HR: 0.934 (0.900-0.968), p < 0.001], cadaveric transplantation [HR: 8.886 (4.764-16.576), p < 0.001], graft survey [HR: 0.608 (0.542-0.682), p < 0.001)], and smoking [HR: 1.965 (1.117-3.456), p = 0.019] were independent predictors of MACCEs in nondiabetic RTRs. CONCLUSION: TyG index is an independent predictor of MACCEs in non-diabetic RTRs. The widespread use of the TyG index may positively affect long-term treatment costs and survival.

C-Reactive Protein to Albumin Ratio as A Novel Inflammatory-Based Marker for 30-Day Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement

Abstract Objective: We aimed to investigate whether C-reactive protein to albumin ratio (CAR) predicts the early and late mortality in patients undergoing transcatheter aortic valve replacement (TAVR). Methods: This study was retrospectively designed and includes 170 TAVR patients with a mean age of 78.4±7.1 years. Patients were divided into 2 groups as those who died and those who survived, taking into account the follow-up period. Complete blood count, serum CRP and serum albumin were obtained on admission. The CAR value of all patients was calculated and the relationship of CAR with early (≤30 days) and late mortality (>30 days) was evaluated. Results: The median follow-up period was 19 [7-31] months (maximum 66 months). Early mortality was observed in 20 (11.8%) patients, whereas late mortality was observed in 39 (22.9%) patients, most of them male (61.1%, P=0.04). Non-survivors had greater CAR value, higher baseline serum CRP level and lower baseline albumin level than survivors (P<0.01, for all parameters). According to multivariate analysis models, CAR (HR: 1.020, P<0.01) and TVAR score (HR: 1.294, P<0.01) were found to be independent predictors of early mortality while CRP and albumin were not. The area under the curve (AUC) for CAR was 0.73 with a P <0.01. A CAR >15.6 predicted the early mortality with 80% sensitivity and 57% specificity. Conclusion: The novel inflammatory marker CAR can be used as a reliable marker in predicting 30-day mortality in patients undergoing TAVR.

C-Reactive Protein to Albumin Ratio as A Novel Inflammatory-Based Marker for 30-Day Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement.

OBJECTIVE: We aimed to investigate whether C-reactive protein to albumin ratio (CAR) predicts the early and late mortality in patients undergoing transcatheter aortic valve replacement (TAVR). METHODS: This study was retrospectively designed and includes 170 TAVR patients with a mean age of 78.4±7.1 years. Patients were divided into 2 groups as those who died and those who survived, taking into account the follow-up period. Complete blood count, serum CRP and serum albumin were obtained on admission. The CAR value of all patients was calculated and the relationship of CAR with early (≤30 days) and late mortality (>30 days) was evaluated. RESULTS: The median follow-up period was 19 [7-31] months (maximum 66 months). Early mortality was observed in 20 (11.8%) patients, whereas late mortality was observed in 39 (22.9%) patients, most of them male (61.1%, P=0.04). Non-survivors had greater CAR value, higher baseline serum CRP level and lower baseline albumin level than survivors (P<0.01, for all parameters). According to multivariate analysis models, CAR (HR: 1.020, P<0.01) and TVAR score (HR: 1.294, P<0.01) were found to be independent predictors of early mortality while CRP and albumin were not. The area under the curve (AUC) for CAR was 0.73 with a P <0.01. A CAR >15.6 predicted the early mortality with 80% sensitivity and 57% specificity. CONCLUSION: The novel inflammatory marker CAR can be used as a reliable marker in predicting 30-day mortality in patients undergoing TAVR.

Does coexistence of fragmented QRS and cardiovascular disease have the ability to predict the mortality in hospitalized, critically ill patients with COVID-19?

OBJECTIVE: In this study, we aimed to investigate the prognostic accuracy of the presence of fragmented QRS (fQRS) on baseline electrocardiogram on the adverse outcome in critical patients with coronavirus disease 2019 (COVID-19) with cardiovascular disease (CVD). METHODS: The current study was retrospective designed and included 169 patients who were critically ill with COVID-19 and CVD (mean age of 62±15 years). The patients were grouped into those who died (non-survivor group) and those who survived (survivor group). RESULTS: The non-survivors were older and more often had CVD (p=0.009), hypertension (p=0.046), diabetes (p=0.048), cancer (p=0.023), and chronic renal failure (p=0.001). Although the presence of fQRS on the basal electrocardiogram was more common in patients who died, this was not statistically significant (p=0.059). Furthermore, non-survivors had more frequent the coexistence of CVD and fQRS (p=0.029). In Model 1 multivariate regression analysis, CVD alone was not a predictor of mortality (p=0.078), whereas coexistence of CVD and fQRS was found to be an independent predictor of mortality in Model 2 analysis [hazard ratio (HR): 2.243; p=0.003]. Furthermore, older age (HR: 1.022; p=0.006 and HR: 1.023; p=0.005), cancer (HR: 1.912; p=0.021 and HR: 1.858; p=0.031), high SOFA score (HR: 1.177; p=0.003 and HR: 1.215; p<0.001), and increased CRP level (HR: 1.003; p=0.039 and HR: 1.003; p=0.027) independently predicted the mortality in both multivariate analysis models, respectively. CONCLUSION: fQRS may be a useful and handy risk-stratification tool for clinical outcomes by identifying high-risk individuals, especially among those with CVD.

Is the Newly Defined R2CHA2DS2-Vasc Score a Predictor for Late Mortality in Patients Undergoing Transcatheter Aortic Valve Replacement?

OBJECTIVE: To assess the performance of the modified R2CHA2DS2-VASc score for predicting mid-to-long-term mortality (> 30 days) in patients undergoing transcatheter aortic valve replacement (TAVR). METHODS: Data of 78 patients who underwent TAVR were retrospectively reviewed. R2CHA2DS2-VASc score was compared with the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II or ES II) and the transcatheter valve therapytranscatheter aortic valve replacement (TVT-TAVR) risk score. RESULTS: The mean follow-up period was 17.4±9.9 months (maximum 37 months). Early mortality (first 30 days) was observed in 10 (12.8%) patients, whereas mid-to-long-term mortality (> 30 days) was observed in 26 (33.3%) patients. Non-survivors had higher values of R2CHA2DS2-VASc, ES II, and TAVR scores than survivors (P<0.001, P<0.001, and P=0.001, respectively). Analysis of Pearson's correlation revealed that R2CHA2DS2-VASc score was moderately correlated with ES II and TAVR scores (r=0.51, P<0.001; r=0.44, P=0.001, respectively). Pairwise comparisons of R2CHA2DS2-VASc (area under the curve [AUC]: 0.870, 95% confidence interval [CI]: 0.776-0.964; P<0.001), ES II (AUC: 0.801, 95% CI: 0.703-0.899; P<0.001), and TAVR scores (AUC: 0.730, 95% CI: 0.610-852; P=0.002) showed similar accuracy for predicting mortality. R2CHA2DS2-VASc score is an independent predictor of mortality in multivariable Cox regression analysis. A cutoff value of six for R2CHA2DS2-VASc score showed a sensitivity of 74% and a specificity of 89% for predicting mid-to-long-term mortality. CONCLUSION: R2CHA2DS2-VASc score, easily calculated from clinical parameters, is associated with prediction of mid-to-longterm mortality in patients undergoing TAVR.

Predictive accuracy of lymphocyte-to-monocyte ratio and monocyte-to-high-density-lipoprotein-cholesterol ratio in determining the slow flow/no-reflow phenomenon in patients with non-ST-elevated myocardial infarction.

OBJECTIVE: To investigate whether inflammation based scores including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR) and monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR) predict the slow flow (SF)/no-reflow (NR) phenomenon comparatively in patients with non-ST-elevated Myocardial Infarction (NSTEMI) undergoing percutaneous coronary intervention (PCI). METHODS: Current study is retrospective designed and includes 426 NSTEMI patients (mean age of 56.8 ± 11.4 years). The patients were grouped into non slow flow/no-reflow and slow flow/no-reflow groups according to postintervention thrombolysis in myocardial infarction flow grade. RESULTS: The slow flow/no-reflow group had significantly higher MHR and lower LMR values than the non slow flow/no-reflow group (P < 0.01 and P < 0.01, respectively). Lower LMR [odds ratio (OR): 0.659, P < 0.01] and higher MHR (OR: 1.174, P = 0.04) were independent predictors of slow flow/no-reflow phenomenon in model 1 and 2 multivariate analyses, respectively. Furthermore, left ventricular ejection fraction (LVEF) (OR: 0.934, P = 0.01; OR: 0.930, P < 0.01), smoking (OR: 2.279, P = 0.03; OR: 2.118, P = 0.04), Syntax score (1.038, P = 0.04; 1.046, P = 0.01) and high thrombus grade (OR: 7.839, P < 0.01; OR: 8.269, P < 0.01), independently predicted the slow flow/no-reflow development in both multivariate analysis models, respectively. The predictive performance of LMR and MHR was not different (P = 0.88), but both predictive powers were superior to NLR (P < 0.01 and P = 0.03, respectively). CONCLUSION: The MHR and LMR may be useful inflammatory biomarkers for identifying high-risk individuals for the development of slow flow/no reflow in NSTEMI patients who underwent PCI.

Relationship between C-reactive protein-to-albumin ratio and the extent of coronary artery disease in patients with non-ST-elevated myocardial infarction.

BACKGROUND: This study aimed to investigate the predictive value of the newly defined C-reactive protein (CRP)-toalbumin ratio (CAR) in determining the extent and severity of coronary artery disease (CAD) in comparison with the other inflammatory markers such as neutrophil-tolymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), in patients with non-ST-elevated myocardial infarction (NSTEMI). PATIENTS AND METHODS: This study is retrospectively designed and includes 205 patients with NSTEMI with a mean age of 56.6± 11.4 years. The study cohort was subdivided into two groups according to Synergy Between Percutaneous Coronary Intervention with Taxus and cardiac surgery score (SS) as low (<23) and intermediate-high (≥23). Complete blood counts, serum CRP, and serum albumin were obtained at admission. The CAR, NLR, and PLR values of all patients were calculated. Then, we evaluated the relationship of CAR, NLR, and PLR with the CAD extent and severity. RESULTS: CAR and NLR were moderately correlated with SS (r = 0.517, P < 0.001; r = 0.222, P = 0.001, respectively), whereas PLR showed weak correlation with SS (r = 0.191, P = 0.006). According to multivariate analysis models, CAR, NLR, and left ventricular ejection fraction were found to be independent predictors of CAD severity (P < 0.05). The area under the curve (AUC) for CAR (AUC: 0.829; 95% confidence interval: 0.770-0.878) was significantly greater than the AUC of NLR (AUC: 0.657; 95% confidence interval: 0.588-0.722), with P value of 0.002. A CAR more than 17 predicted an intermediate-high SS with 86% sensitivity and 76% specificity. CONCLUSION: Novel inflammatory marker CAR can be used as a reliable marker in prediction of CAD severity in patients with NSTEMI.

Is the newly defined r2cha2ds2-vasc score a predictor for late mortality in patients undergoing transcatheter aortic valve replacement?

Abstract Objective: To assess the performance of the modified R2CHA2DS2-VASc score for predicting mid-to-long-term mortality (> 30 days) in patients undergoing transcatheter aortic valve replacement (TAVR). Methods: Data of 78 patients who underwent TAVR were retrospectively reviewed. R2CHA2DS2-VASc score was compared with the European System for Cardiac Operative Risk Evaluation II (EuroSCORE II or ES II) and the transcatheter valve therapytranscatheter aortic valve replacement (TVT-TAVR) risk score. Results: The mean follow-up period was 17.4±9.9 months (maximum 37 months). Early mortality (first 30 days) was observed in 10 (12.8%) patients, whereas mid-to-long-term mortality (> 30 days) was observed in 26 (33.3%) patients. Non-survivors had higher values of R2CHA2DS2-VASc, ES II, and TAVR scores than survivors (P<0.001, P<0.001, and P=0.001, respectively). Analysis of Pearson's correlation revealed that R2CHA2DS2-VASc score was moderately correlated with ES II and TAVR scores (r=0.51, P<0.001; r=0.44, P=0.001, respectively). Pairwise comparisons of R2CHA2DS2-VASc (area under the curve [AUC]: 0.870, 95% confidence interval [CI]: 0.776-0.964; P<0.001), ES II (AUC: 0.801, 95% CI: 0.703-0.899; P<0.001), and TAVR scores (AUC: 0.730, 95% CI: 0.610-852; P=0.002) showed similar accuracy for predicting mortality. R2CHA2DS2-VASc score is an independent predictor of mortality in multivariable Cox regression analysis. A cutoff value of six for R2CHA2DS2-VASc score showed a sensitivity of 74% and a specificity of 89% for predicting mid-to-long-term mortality. Conclusion: R2CHA2DS2-VASc score, easily calculated from clinical parameters, is associated with prediction of mid-to-longterm mortality in patients undergoing TAVR.

Comparison of SYNTAX Score I and SYNTAX Score II for Predicting Postoperative Atrial Fibrillation in Patients Undergoing Coronary Artery Bypass Graft Surgery.

BACKGROUND: Atrial fibrillation is a frequent cause of morbidity following coronary artery bypass grafting (CABG). SYNTAX score II (SSII) is associated with outcomes in patients undergoing coronary revascularization. We investigated the relationship between SSII and postoperative atrial fibrillation (POAF) in patients undergoing CABG. METHODS: Records of 461 consecutive patients who underwent elective isolated CABG were retrospectively reviewed. Characteristics of patients with and without POAF were compared. RESULTS: POAF developed in 51 (11.1%) patients. Patients with POAF were older (61.8 ± 7.8 versus 58.4±7.7; P = .003). Chronic obstructive pulmonary disease (COPD) and history of coronary artery disease (CAD) were more frequent in patients with POAF whereas the frequency of hypertension (HT), diabetes mellitus (DM), and smoking did not differ. CRP was significantly higher in patients with POAF. Left atrial diameter (LAD),  EuroSCORE II, SSI and SSII were greater in patients with POAF (P < .001 for all). Age, history of CAD, LAD, SSI, and SSII were independent predictors of POAF in multivariate regression analysis. In ROC analysis, SSII was more accurate than SSI for predicting POAF, albeit statistically insignificant [difference between AUC: 0.0483, 95% CI (-0.0411) - (0.138); z statistic:1.059, P = .29)]. In-hospital MACE (3.2% versus 9.8%, P = .038) and one-year mortality (4.6% versus 13.5%, P = .008) of patients with POAF were significantly higher. CONCLUSION: POAF occurred in more than one-tenth of patients undergoing CABG, and it is associated with in-hospital MACE and one-year mortality. Age, history of CAD, LAD, SSI, and SSII are independent predictors of POAF. SSII seems to be more accurate than SSI for predicting POAF.

Does cha2ds2-vasc score predict mace in patients undergoing isolated coronary artery bypass grafting surgery?

Abstract Objective: To evaluate the prognostic value of CHA2DS2-VASc score in individuals undergoing isolated coronary artery bypass grafting (CABG) surgery. Methods: Records of consecutive 464 patients who underwent elective isolated CABG, between January 2015 and August 2017, were retrospectively reviewed. A major adverse cardiac event (MACE) was the primary outcome of this study. MACE in patients with low (L) (<2, n: 238) and high (H) (≤2, n: 226) CHA2DS2-VASc scores were compared. Univariate logistic regression analysis identified preditors of MACE. Results: Hypertension, diabetes mellitus, and peripheral vascular disease were more frequent in the H group than in the L group. European System for Cardiac Operative Risk Evaluation (EuroSCORE) I and SYNTAX I scores were similar in both groups while SYNTAX II-CABG score was significantly higher in the H group than in the L group. Postoperative myocardial infarction, need for intra-aortic balloon pump, acute renal failure, and mediastinitis were more frequent in the H group than in the L group. The H group had significantly higher in-hospital mortality and MACE rates than the L group (P<0.01). EuroSCORE I, SYNTAX II-CABG, and CHA2DS2-VASc scores were predictors for MACE. SYNTAX II-CABG > 25.1 had 68.4% sensitivity and 52.7% specificity (area under the curve [AUC]: 0.653, P=0.04, 95% confidence interval [CI]: 0.607-0.696) and CHA2DS2-VASc > 2 had 52.6% sensitivity and 84.1% specificity (AUC: 0.752, P<0.01, 95% CI: 0.710-0.790) to predict MACE. Pairwise comparison of receiver-operating characteristic curves revealed similar accuracy for both scoring systems. Conclusion: CHA2DS2-VASc score may predict MACE in patients undergoing isolated CABG.

Does CHA2DS2-VASc Score Predict MACE in Patients Undergoing Isolated Coronary Artery Bypass Grafting Surgery?

OBJECTIVE: To evaluate the prognostic value of CHA2DS2-VASc score in individuals undergoing isolated coronary artery bypass grafting (CABG) surgery. METHODS: Records of consecutive 464 patients who underwent elective isolated CABG, between January 2015 and August 2017, were retrospectively reviewed. A major adverse cardiac event (MACE) was the primary outcome of this study. MACE in patients with low (L) (<2, n: 238) and high (H) (≤2, n: 226) CHA2DS2-VASc scores were compared. Univariate logistic regression analysis identified preditors of MACE. RESULTS: Hypertension, diabetes mellitus, and peripheral vascular disease were more frequent in the H group than in the L group. European System for Cardiac Operative Risk Evaluation (EuroSCORE) I and SYNTAX I scores were similar in both groups while SYNTAX II-CABG score was significantly higher in the H group than in the L group. Postoperative myocardial infarction, need for intra-aortic balloon pump, acute renal failure, and mediastinitis were more frequent in the H group than in the L group. The H group had significantly higher in-hospital mortality and MACE rates than the L group (P<0.01). EuroSCORE I, SYNTAX II-CABG, and CHA2DS2-VASc scores were predictors for MACE. SYNTAX II-CABG > 25.1 had 68.4% sensitivity and 52.7% specificity (area under the curve [AUC]: 0.653, P=0.04, 95% confidence interval [CI]: 0.607-0.696) and CHA2DS2-VASc > 2 had 52.6% sensitivity and 84.1% specificity (AUC: 0.752, P<0.01, 95% CI: 0.710-0.790) to predict MACE. Pairwise comparison of receiver-operating characteristic curves revealed similar accuracy for both scoring systems. CONCLUSION: CHA2DS2-VASc score may predict MACE in patients undergoing isolated CABG.

The Relation between Sarcopenia and Mortality in Patients at Intensive Care Unit.

BACKGROUND AND AIM: Psoas muscle area (PMA) can reflect the status of skeletal muscle in the whole body. It has been also reported that decreased PMA was associated with postoperative mortality or morbidity after several surgical procedures. In this study, we aimed to investigate the relation between PMA and mortality in all age groups in intensive care unit (UNIT). MATERIALS AND METHOD: The study consists of 362 consecutive patients. The demographic characteristics of patients, indications for ICU hospitalization, laboratory parameters, and clinical parameters consist of mortality and length of stay, and surgery history was obtained from intensive care archive records. RESULTS: The mean age was 61.2 ± 18.2 years, and the percentage of female was 33.3%. The mean duration of stay was 10.3 ± 24.4 days. Exitus ratio, partial healing, and healing were 25%, 70%, and 5%, respectively. The mean right, left, and total PMA were 8.7 ± 3.6, 8.9 ± 3.4, and 17.6 ± 6.9, respectively. The left and total PMA averages of the nonoperation patients were statistically significantly lower (p = 0.021 p = 0.043). The mean PMA between the ex and recovered patients were statistically significantly lower (p = 0.001, p = 0.001, p < 0.001). Dyspnoea, renal insufficiency, COPD, transfusion rate, operation rate, ventilator needy, and mean duration of hospitalization were statistically significant higher in patients with exitus. There is a significant difference in operation types, anesthesia type, and clinic rates. CONCLUSION: Our data suggest that sarcopenia can be used to risk stratification in ICU patients. Future studies may use this technique to individualize postoperative interventions that may reduce the risk for an adverse discharge disposition related to critical illness, such as early mobilization, optimized nutritional support, and reduction of sedation and opioid dose.

P-wave dispersion and its relationship with the severity of the disease in patients with stable coronary artery disease.

OBJECTIVE: P- wave dispersion (PD) is an indicator of inhomogeneous and discontinuous propagation of sinus impulses. In the present study we aimed to investigate the PD and its association with the severity of the disease. in patients with stable coronary artery disease. METHODS: We prospectively analyzed 60 subjects with coronary artery disease (CAD) and 25 subjects with nor-mal coronary angiograms (control group). The maximum and minimum P-wave duration and PD were measured from the 12-lead surface electrocardiograms. The CAD severity was assessed by the severity score (Gensini score) and the number of vessels involved (vessel score). RESULTS: P max was longer in CAD group compared with the control group (p<0.001). PD was greater in the CAD group, compared with the control group (p<0.001). However, P min did not differ between the two groups. In bi-variate correlation, increased PD was correlated with presence of diabetes mellitus (r=0.316, p=0.014), smoking (r=0.348, p=0.006), left ventricular ejection fraction (r=-0.372, p=0.003), vessel score (r=0.848, p=0.001), and Gensini score (r=0.825, p=0.001). Multiple linear regression analysis showed that PD was independently associ¬ated with vessel score ((3=0.139, p=0.002) and Gensini score ((3=0.132, p=0.007). CONCLUSION: PD was greater in patients with CAD than in controls and it was associated with CAD severity.