Predictor Of All-cause Mortality Research Articles

Predictive Value of the Hb/RDW Ratio for the Risk of All-Cause Death in Patients with Heart Failure with Different Ejection Fractions

Introduction: The prognostic value of the ratio of haemoglobin to red cell distribution width (HRR) in different types of heart failure (HF) is not well known. Method and Results: We analysed the long-term prognostic value of HRR in patients with HF using the Cox proportional risk model and Kaplan-Meier method. We reviewed consecutive 972 HF patients. The overall mortality rate was 45.68%. Mortality was 52.22% in the HFrEF group and 40.99% in the HFpEF + HFmrEF group. Cox regression showed that when HRR increased by 1 unit, the risk of all-cause death in all HF patients decreased by 22.8% (HR: 0.772, 95% CI: 0.724, 0.823, p < 0.001), in the HFpEF + HFmrEF group it decreased by 15.5% (HR: 0.845, 95% CI: 0.774, 0.923, p < 0.001), and in the HFrEF group it decreased by 36.1% (HR: 0.639, 95% CI: 0.576, 0.709, p < 0.0001). Subgroup analysis showed that there were interactions between the EF and HRR groups. The group in which HRR best predicted all-cause death from HF was group 1 (EF <40%, HRR <9.45), followed by group 2 (EF <40%, HRR ≥9.45), and group 3 (EF ≥40%, HRR <9.45). HRR had no predictive value in group 4 (EF ≥40%, HRR ≥9.45). Conclusion: HRR is an important predictor of all-cause mortality in patients with HF, especially HFrEF. There is an interaction between HRR group and LVEF group.

Anemia and Iron Deficiency Predict All-Cause Mortality in Patients with Heart Failure and Preserved Ejection Fraction: 6-Year Follow-Up Study.

The aim of this study was to assess the prevalence of anemia and iron deficiency in patients with heart failure with preserved ejection fraction (HFpEF) and its impact on clinical outcomes. We retrospectively analyzed 212 patients with HFpEF and identified anemia as a serum hemoglobin level of less than 13 g/dL in men and less than 12 g/dL in women. Additionally, ID was defined as a serum ferritin concentration < 100 ng/mL or 100-299 ng/mL with transferrin saturation < 20%. Patients were followed up for an average of 66.2 ± 12.1 months, with the endpoint being all-cause mortality among patients with HFpEF, both with and without anemia and iron deficiency. Furthermore, we explored other predictors of all-cause mortality. The average age of the entire group was 70.6 ± 10.5 years, with females comprising 55% of the patients. Anemia was present in 81 (38.2%) patients, while 108 (50.9%) had iron deficiency. At the end of the follow-up period, 60 (28.3%) of the patients had passed away. Patients with anemia displayed more heart failure (HF) symptoms, diastolic dysfunction, higher NT-pro-BNP levels, and worse baseline functional capacity than those without. Similarly, patients with iron deficiency showed more pronounced HF symptoms and worse functional capacity than those without. The results from the multivariable analyses revealed that anemia (hazard ratio [HR]: 5.401, 95% confidence interval [CI]: 4.303-6.209, log-rank p = 0.001), advanced age, iron deficiency (HR: 3.502, 95% CI: 2.204-6.701, log-rank p = 0.015), decreased left ventricular ejection fraction, chronic kidney disease, and paroxysmal nocturnal dyspnea were all independently associated with all-cause mortality. It is essential to consider anemia and iron deficiency as common comorbidities in managing and prognosis HFpEF, as they significantly increase mortality risk.

Neck circumference as a predictor of all-cause mortality in middle-aged and older adults in rural Ecuador.

Neck circumference (NC) has been associated with mortality secondary to cardiovascular diseases and other conditions. However, information on this association in the population at large is limited. We aimed to assess this association in community dwellers living in rural Ecuador. Individuals aged ≥40 y who were enrolled in the population-based Three Villages Study cohort were prospectively followed to estimate mortality risk according to baseline measurements of NC, after adjusting for relevant confounders. Analysis included 1521 individuals followed for a mean of 6.4±3.4 y. Mean NC was 36.2±3.7cm, with 509 (33%) individuals allocated to the first (25-34cm), 319 (21%) to the second (36-37cm), 417 (27%) to the third (37-39cm) and 276 (18%) to the fourth (40-50cm) quartile. A total of 211 (14%) individuals died during the follow-up. Overall, the crude mortality rate was 2.3 per 100 person-years, which increased to 5.63 for those in the fourth NC quartile. An adjusted Cox-proportional hazards model showed that individuals in the fourth quartile of NC had higher mortality risk compared with the first quartile (HR: 2.98; 95% CI 1.77 to 5.02). Larger NC increases mortality risk in middle-aged and older adults of indigenous ancestry living in rural Ecuador.

Natural history and outcomes in paediatric RASopathy-associated hypertrophic cardiomyopathy.

This study aimed to describe the natural history and predictors of all-cause mortality and sudden cardiac death (SCD)/equivalent events in children with a RASopathy syndrome and hypertrophic cardiomyopathy (HCM). This is a retrospective cohort study from 14 paediatric cardiology centres in the United Kingdom and Ireland. We included children <18years with HCM and a clinical and/or genetic diagnosis of a RASopathy syndrome [Noonan syndrome (NS), NS with multiple lentigines (NSML), Costello syndrome (CS), cardiofaciocutaneous syndrome (CFCS), and NS with loose anagen hair (NS-LAH)]. One hundred forty-nine patients were recruited [111 (74.5%) NS, 12 (8.05%) NSML, 6 (4.03%) CS, 6 (4.03%) CFCS, 11 (7.4%) Noonan-like syndrome, and 3 (2%) NS-LAH]. NSML patients had higher left ventricular outflow tract (LVOT) gradient values [60 (36-80) mmHg, P=0.004]. Over a median follow-up of 197.5 [inter-quartile range (IQR) 93.58-370] months, 23 patients (15.43%) died at a median age of 24.1 (IQR 5.6-175.9) months. Survival was 96.45% [95% confidence interval (CI) 91.69-98.51], 90.42% (95% CI 84.04-94.33), and 84.12% (95% CI 75.42-89.94) at 1, 5, and 10years, respectively, but this varied by RASopathy syndrome. RASopathy syndrome, symptoms at baseline, congestive cardiac failure (CCF), non-sustained ventricular tachycardia (NSVT), and maximal left ventricular wall thickness were identified as predictors of all-cause mortality on univariate analysis, and CCF, NSVT, and LVOT gradient were predictors for SCD or equivalent event. These findings highlight a distinct category of patients with Noonan-like syndrome with a milder HCM phenotype but significantly worse survival and identify potential predictors of adverse outcome in patients with RASopathy-related HCM.

Combination of the glycated hemoglobin levels and prognostic nutritional index as a prognostic marker in patients with acute coronary syndrome and type 2 diabetes mellitus

BackgroundIncreased susceptibility to malnutrition and inadequate glycemic control are frequently observed in diabetic patients with coronary artery disease. The assessment of malnutrition is performed using the prognosis nutritional index (PNI). The inadequate glycemic control is measured using glycated hemoglobin (HbA1c). However, the combined effect of PNI and HbA1c on the prognosis in diabetic patients with coronary artery disease remains unknown.MethodsA study was conducted at Beijing Anzhen Hospital and included 2,005 patients diagnosed with type 2 diabetes mellitus (T2DM) accompanied by acute coronary syndrome (ACS) who underwent percutaneous coronary intervention (PCI) from September 2021 to January 2022. Based on the median PNI and HbA1c, we categorized the patients into four groups including high (H)-PNI/low (L)-HbA1c, H-PNI/H-HbA1c, L-PNI/L-HbA1c, and L-PNI/H-HbA1c. Major adverse cardiac and cerebrovascular events (MACCE) were the primary outcome, including all-cause mortality, nonfatal myocardial infarction (MI), and nonfatal strokes.ResultsThroughout a median follow-up of 16.3 months, 73 patients had MACCE, which comprised 36 cases of all-cause mortality. In comparison to the H-PNI, the L-PNI showed an obvious rise in MACCE and all-cause mortality (log-rank P = 0.048 and 0.021, respectively) among the H-HbA1c group. Compared to the other groups, the L-PNI/H-HbA1c group exhibited the greatest risk of MACCE (adjusted hazard ratio [aHR]: 2.50, 95% confidence interval [CI] 1.20–5.23, P = 0.014) and all-cause mortality (HR: 3.20, 95% CI 1.04–9.82, P = 0.042). With the addition of PNI, MACCE and all-cause mortality prediction models performed significantly better in patients with ACS and T2DM after PCI, particularly in those with H-HbA1c levels.ConclusionsThe combination of L-PNI and H-HbA1c is a prognostic marker for MACCE and all-cause mortality in patients diagnosed with ACS and T2DM who underwent PCI. The PNI can serve as an assessment tool of malnutrition in patients with ACS and T2DM accompanied by H-HbA1c who underwent PCI. Therefore, monitoring the long-term change of the PNI deserves attention in clinical practice.

Circulating 3-hydroxy butyrate predicts mortality in patients with chronic heart failure with reduced ejection fraction.

In patients with chronic heart failure with reduced ejection fraction (HFrEF), myocardial ketone metabolism is increased and short-term treatment with the ketone body 3-hydroxy butyrate (3-OHB) has beneficial haemodynamic effects. In patients with HFrEF, we investigated whether the level of circulating 3-OHB predicted all-cause mortality and sought to identify correlations between patient characteristics and circulating 3-OHB levels. We conducted a cohort study in 218 patients with HFrEF. Plasma 3-OHB levels were measured using high-performance liquid chromatography tandem mass spectrometry. Data on all-cause mortality were obtained by reviewing the patients' medical records, which are linked to the national 'Central Person Registry' that registers the timing of all deaths in the country. Mean left ventricular ejection fraction was 35±8.6%, mean age was 67±10years, 54% were New York Heart Association II, and 27% had type 2 diabetes mellitus. Median follow-up time was 7.3 (interquartile range 6.3-8.4) years. We observed large variations in 3-OHB levels between patients (median 59μM, range: 14-694μM). Patients with 3-OHB levels above the median displayed a markedly increased risk of death compared with those with low levels {hazard ratio [HR]: 2.1 [95% confidence interval (CI): 1.3-3.5], P=0.003}. In a multivariate analysis, 3-OHB predicted mortality independently of known chronic heart failure risk factors [HR: 1.004 (95% CI: 1.001-1.007), P=0.02] and with a similar statistical strength as N-terminal pro-brain natriuretic peptide (NT-proBNP) [HR: 1.0005 (95% CI: 1.000-1.001), P=0.02]. For every 100μmol increase in plasma 3-OHB, the hazard of death increased by 49%. The following factors significantly predicted 3-OHB levels in the univariate analysis: free fatty acids (FFAs) [β: 238 (95% CI: 185-292), P<0.0001], age [β: 2.43 (95% CI: 1.14-3.72), P<0.0001], plasma insulin {β: -0.28 [95% CI: -0.54-(-0.02)], P=0.036}, body mass index {β: -3.15 [95% CI: -5.26-(-0.05)], P=0.046}, diabetes [β: 44.49 (95% CI: 14.84-74.14), P=0.003], glycosylated haemoglobin [β: 1.92 (95% CI: 0.24-3.59), P=0.025], New York Heart Association class [β: 26.86 (95% CI: 5.99-47.72), P=0.012], and NT-proBNP [β: 0.03 (95% CI: 0.01-0.04), P=0.001]. In a multivariate analysis, only FFAs predicted 3-OHB levels [β: 216 (95% CI: 165-268), P>0.001]. In patients with HFrEF, circulating 3-OHB was a strong predictor of all-cause mortality independently of NT-proBNP. Circulating FFAs were the best predictor of 3-OHB levels.

Frailty predicts all-cause and cause-specific mortality among older adults in Austria: 8-year mortality follow-up of the Austrian Health Interview Survey (ATHIS 2014)

BackgroundThe frailty index (FI) is an established predictor of all-cause mortality among older adults, but less is known with regard to cause-specific mortality, and whether the predictive power of the FI varies between men and women and by socio-economic position.MethodsWe assessed all-cause and cause-specific mortality during 8 years of follow-up (median = 7 years) among the population-representative sample of older adults (65 + , n = 2,561) from the European Health Interview Survey in Austria (ATHIS 2014). A FI at baseline was constructed from 41 health deficits. Official cause of death information from Statistics Austria was linked with the survey data by the Austrian Micro Data Center (AMDC). Next to all-cause mortality, we differentiated between mortality from cardiovascular diseases (CVD), cancer, and other causes. Cox proportional hazard models adjusted for socio-demographic variables and causes of death as competing risks were used to assess mortality prediction.ResultsAmong the participants, 43.5% were robust (FI < 0.10), 37.7% pre-frail (FI = 0.10–0.21), and 18.7% were frail (FI > 0.21). 405 (15.8%) participants died during follow-up. Among the deceased, 148 (36.5%) died from CVD, 127 (31.4%) died from cancer, and 130 (32.1%) died from other causes of death. The FI predicted all-cause (hazard ratio, HR = 1.33 per 0.1 FI and HR = 2.4 for frail compared to robust older adults) and cause-specific mortality risk (HRCVD = 1.25/2.46, HRcancer = 1.19/1.47, HRother = 1.49/3.59). Area under the curve (AUC) values were acceptable for CVD mortality (0.78) and other causes of death (0.74), and poor for cancer mortality (0.64).ConclusionsThe FI predicts all-cause and cause-specific mortality (CVD, other causes) well, which points to its relevance as a potential screening tool for risk stratification among community-dwelling older adults.

Sex differences in the nutritional status and its association with long-term prognosis in patients with heart failure with reduced ejection fraction: a prospective cohort study.

Many studies show the association between malnutrition and poor prognosis in heart failure (HF) patients. Our research aimed to analyse sex differences in patients with HF with reduced ejection fraction (HFrEF), emphasizing nutritional status and the influence of selected parameters on the prognosis. We enrolled 276 consecutive patients diagnosed with HFrEF. Nutritional status was assessed using Mini Nutritional Assessment (MNA), geriatric nutritional risk index (GNRI), and body mass index (BMI). The mean follow-up period was 564.4 ± 346.3 days. The analysed group included 81.2% of men. The median age was 58, interquartile range (IQR) 49-64 years. Among all patients, almost 60% were classified as NYHA III or IV. Half of the participants were at risk of malnutrition, and 2.9% were malnourished. During follow-up, 72 (26.1%) patients died. The female sex was not associated with a higher occurrence of malnutrition (P = 0.99) or nutritional risk (P = 0.85), according to MNA. Coherently, GNRI scores did not differ significantly between the sexes (P = 0.29). In contrast, BMI was significantly higher in males (29.4 ± 5.3 vs. 25.9 ± 4.7; P < 0.001). Impaired nutritional status assessed with any method (MNA, GNRI, BMI) was not significantly associated with a worse prognosis. In multivariable analysis, NYHA class, lower estimated glomerular filtration rate, higher B-type natriuretic peptide (BNP), higher N-terminal fragment of proBNP, and higher uric acid were independent of sex and age predictors of all-cause mortality. There were no sex differences in the nutritional status in the HFrEF patients, apart from lower BMI in females. Impaired nutritional status was not associated with mortality in both men and women.

Chest Computed Tomography for Lymphoma Staging: A Wasted Opportunity for Cardiovascular Risk Stratification?

Patients with a lymphoma diagnosis undergo non-gated chest computed tomography (CT) scans as part of cancer diagnosis or staging. Although coronary artery calcification (CAC) is traditionally evaluated on dedicated cardiac CT, CAC can also be detected on standard chest CT. This exploratory study aimed to determine the prognostic value of CAC detected on non-gated chest CT and to report its use on clinical practice. Consecutive patients with a lymphoma diagnosis who performed non-contrasted non-gated chest CT for cancer diagnosis or staging were included and retrospectively evaluated. Coronary artery calcification was evaluated by quantitative (Agatston score) and qualitative (visual) assessment. Fifty-seven patients were included in this study (mean age 61±15 years; 58% male). Coronary artery calcification was identified in 22 patients (39%), most of them with multi-vessel involvement. Coronary artery calcification was qualitatively classified as mild, moderate and severe in 11%, 19% and 9% patients, respectively. This study suggested that moderate or severe CAC was an independent predictor of all-cause mortality (odds ratio 3, 95% confidence interval 2-11; p=0.04) after adjusting for cardiovascular risk factors and lymphoma staging. Regarding quantitative evaluation, a higher CAC score was also associated with higher mortality. While significant CAC was identified in 22 patients, it was only reported in four patients. The preliminary findings of this hypothesis-generating study support the investigation of CAC identified by chest CT for diagnosis/staging of cancer as a risk modifier in the global risk assessment of patients with lymphoma. The unrecognition and underreporting of this finding may represent a wasted opportunity to detect subclinical coronary atherosclerosis in these patients and may help in guiding preventive cardiology care.

High Ferritin and Low Total Iron-Binding Capacity in Plasma Predict All-Cause Mortality During the First 3 Years of Hemodialysis in Patients with End-Stage Chronic Kidney Disease.

To determine all-cause mortality rate and the predictive value of plasma ferritin and total iron-binding capacity (TIBC) concentrations for mortality during the first 3 years of hemodialysis in patients with end-stage chronic renal disease (ESRD). We conducted a study on 174 ESRD patients (estimated Glomerular Filtration Rate < 15 mL/min/1.73m2). The plasma TIBC level was quantified by the ELISA method in all patients at the time before hemodialysis. Based on TIBC concentration, patients were divided equally into 2 groups. Each group had 87 patients. Patients were initiated on hemodialysis, and patients who died from any cause during the first 3 years of hemodialysis were recorded. The all-cause mortality rate of ESRD patients in the first 3 years of maintenance hemodialysis was 22.9%. Plasma high hs-CRP, high ferritin, and low TIBC concentrations were independent factors associated with all-cause mortality in the patients. Plasma ferritin (cut-off value = 454.2 ng/L) and TIBC (cut-off value = 39.84 µmol/L) were predictors of all-cause mortality, AUC is: 0.772; 0.723, p < 0.001. Plasma ferritin and TIBC were good predictors of all-cause mortality in ESRD patients during the first 3 years of hemodialysis.

Web-Based Dynamic Nomogram for Predicting Risk of Mortality in Heart Failure with Mildly Reduced Ejection Fraction.

This study aimed to develop an integrative dynamic nomogram, including N-terminal pro-B type natural peptide (NT-proBNP) and estimated glomerular filtration rate (eGFR), for predicting the risk of all-cause mortality in HFmrEF patients. 790 HFmrEF patients were prospectively enrolled in the development cohort for the model. The least absolute shrinkage and selection operator (LASSO) regression and Random Survival Forest (RSF) were employed to select predictors for all-cause mortality. Develop a nomogram based on the Cox proportional hazard model for predicting long-term mortality (1-, 3-, and 5-year) in HFmrEF. Internal validation was conducted using Bootstrap, and the final model was validated in an external cohort of 338 consecutive adult patients. Discrimination and predictive performance were evaluated by calculating the time-dependent concordance index (C-index), area under the ROC curve (AUC), and calibration curve, with clinical value assessed via decision curve analysis (DCA). Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were used to assess the contributions of NT-proBNP and eGFR to the nomogram. Finally, develop a dynamic nomogram using the "Dynnom" package. The optimal independent predictors for all-cause mortality (APSELNH: A: angiotensin-converting enzyme inhibitors/angiotensin receptor blockers/angiotensin receptor-neprilysin inhibitor (ACEI/ARB/ARNI), P: percutaneous coronary intervention/coronary artery bypass graft (PCI/CABG), S: stroke, E: eGFR, L: lg of NT-proBNP, N: NYHA, H: healthcare) were incorporated into the dynamic nomogram. The C-index in the development cohort and validation cohort were 0.858 and 0.826, respectively, with AUCs exceeding 0.8, indicating good discrimination and predictive ability. DCA curves and calibration curves demonstrated clinical applicability and good consistency of the nomogram. NT-proBNP and eGFR provided significant net benefits to the nomogram. In this study, the dynamic APSELNH nomogram developed serves as an accessible, functional, and effective clinical decision support calculator, offering accurate prognostic assessment for patients with HFmrEF.

Glucose metabolic reprogramming-related parameters for the prediction of 28-day neurological prognosis and all-cause mortality in patients after cardiac arrest: a prospective single-center observational study

Glucose metabolic reprogramming-related parameters for the prediction of 28-day neurological prognosis and all-cause mortality in patients after cardiac arrest: a prospective single-center observational study

Maintenance chemotherapy for esophageal squamous cell carcinoma after standard concurrent chemoradiotherapy: a national propensity score matching cohort study.

Esophageal squamous cell carcinoma (ESCC) is a common and aggressive cancer, and its standard treatment is concurrent chemoradiotherapy (CCRT). Maintenance chemotherapy is often used to help prevent cancer recurrence, but its efficacy for patients with ESCC receiving CCRT remains unclear. We conducted a large head-to-head propensity score matching cohort study to estimate the effects of maintenance chemotherapy on overall survival and cancer-specific survival in patients with ESCC receiving standard CCRT. After propensity score matching (PSM), we recruited 2724 patients with ESCC (2177 in the maintenance chemotherapy group and 547 in the non-maintenance chemotherapy group). The adjusted hazard ratios (95% confidence intervals) of all-cause mortality and cancer-specific mortality for the maintenance chemotherapy group were 1.15 (1.06-1.26, P = 0.0014) and 1.08 (0.88-1.29, P = 0.1320), respectively, compared with the non-maintenance chemotherapy group. We also found that older age, relatively lower body mass index (BMI), higher American Joint Committee on Cancer clinical stage, and poor response to CCRT as measured using the Response Evaluation Criteria in Solid Tumors were poor independent predictors of all-cause mortality and cancer-specific mortality. Our findings indicated that maintenance chemotherapy may not improve the survival of patients with ESCC who have received CCRT. Additionally, we identified several key prognostic factors for patients with ESCC receiving CCRT, including relatively low BMI and poor response to CCRT. Further research is needed to understand the benefits and risks of maintenance chemotherapy in similar patient populations in order to identify new therapies that could improve treatment responses.

Association between lactate to hematocrit ratio and 30-day all-cause mortality in patients with sepsis: a retrospective analysis of the Medical Information Mart for Intensive Care IV database.

The lactate to hematocrit ratio (LHR) has not been assessed for predicting all-cause death in sepsis patients. This study aims to evaluate the relationship between LHR and 30-day all-cause mortality in sepsis patients. This retrospective study used the data from Medical information mart for intensive care IV (MIMIC-IV, version 2.0). Our study focused on adult sepsis patients who were initially hospitalized in the Intensive care unit (ICU). The prognostic significance of admission LHR for 30-day all-cause mortality was evaluated using a multivariate Cox regression model, ROC curve analysis, Kaplan-Meier curves, and subgroup analyses. A total of 3,829 sepsis patients participated in this study. Among the cohort, 8.5% of individuals died within of 30 days (p < 0.001). The area under the curve (AUC) for LHR was 74.50% (95% CI: 71.6-77.50%), higher than arterial blood lactate (AUC = 71.30%), hematocrit (AUC = 64.80%), and shows no significant disadvantage compared to qSOFA, SOFA, and SAPS II. We further evaluated combining LHR with qSOFA score to predict mortality in sepsis patients, which shows more clinical significance. ROC curve analysis showed that 6.538 was the optimal cutoff value for survival and non-survival groups. With LHR ≥6.538 vs. LHR <6.538 (p < 0.001). Subgroup analysis showed significant interactions between LHR, age, sex, and simultaneous acute respiratory failure (p = 0.001-0.005). LHR is an independent predictor of all-cause mortality in sepsis patients after admission, with superior predictive ability compared to blood lactate or hematocrit alone.

Prognostic Role of RVGLS/PASP Ratio, a New Echocardiographic Parameter of the Right Ventricle-Pulmonary Artery Coupling, in Patients With Acute Heart Failure.

Few studies have addressed the predictive implications of right ventricular (RV) and pulmonary arterial (PA) coupling as assessed by echocardiography in patients with acute heart failure (AHF). This study aimed to ascertain the prognostic importance of RV-PA coupling in AHF cases and discern any divergence in its prognostic efficacy based on different heart failure (HF) phenotypes. We evaluated RV-PA coupling by measuring the ratio of right ventricular global longitudinal strain (RVGLS) to pulmonary arterial systolic pressure (PASP), termed the RVGLS/PASP ratio, and assessed its prognostic role using the STrain for Risk Assessment and Therapeutic Strategies in Patients with Acute Heart Failure registry. From an AHF registry of 4312 patients, we analyzed the RVGLS/PASP ratio in 2,865 patients (1,449 men; age, 71.1±13.5 years). At a median follow-up of 35.0 months, 1,199 (41.8%) patients died. Remarkably, PASP (hazard ratio [HR], 1.012; p<0.001), RVGLS (HR, 1.019; p<0.001), and the RVGLS/PASP ratio (HR, 2.426; p<0.001) were statistically significant predictors of all-cause mortality in the univariate analysis. The RVGLS/PASP ratio was a significant predictor of all-cause mortality in all the HF phenotypes, including HF with reduced ejection fraction (HR, 2.124; p=0.002), HF with mildly reduced ejection fraction (HR, 2.733; p=0.021), and HF with preserved ejection fraction (HR, 2.134; p=0.006). Multivariate analysis after adjusting for clinical and echocardiographic variables revealed that the RVGLS/PASP ratio ≤0.32 was associated with a 36% increase in all-cause mortality (HR, 1.365; p<0.001). Impaired RV-PA coupling, defined as an RVGLS/PASP ratio (≤0.32) was associated with an increased risk of mortality in patients with AHF across all HF phenotypes. ClinicalTrials.gov Identifier: NCT03513653.

The Relationship of Fetuin-A with Coronary Calcification, Carotid Atherosclerosis, and Mortality Risk in Non-Dialysis Chronic Kidney Disease.

This study investigated the relationship of fetuin-A with coronary calcification, carotid atherosclerosis, and mortality risk in non-dialysis chronic kidney disease (CKD). The study included 135 adult patients with CKD at stages 3-5, who were divided into coronary artery calcification (CAC) and non-CAC groups. We excluded current smokers and individuals with diabetes mellitus, inflammatory conditions, liver diseases, acute kidney failure, chronic hemodialysis, and cancer. We conducted kidney function tests, complete blood counts, and measured serum levels of fetuin-A, tumor necrosis factor-alpha (TNF-α), high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), total cholesterol (TC), total triglycerides (TG), high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol. Cardiac spiral computed tomography was used to calculate the CAC score, employing the Agatston method. Carotid ultrasonography was performed to assess carotid intima-media thickness (CIMT) and to detect the presence of plaques. CAC patients had considerably higher levels of TNF-α (p<0.001), IL-6 (p<0.001), hs-CRP (p=0.006), TC, TG, parathyroid hormone (PTH) (p<0.001) and phosphorus (p<0.001) than non-CAC patients. They also had significantly lower levels of fetuin-A (p<0.001). Fetuin-A was considerably lower in CKD subgroups as CKD progressed. Fetuin-A (p=0.046), age (p=0.009), TNF-α (p=0.027), IL-6 (p=0.005), TG (p=0.002), PTH (p=0.002), and phosphorus (p=0.004) were significant predictors of CAC. CAC and fetuin-A were strong predictors of all-cause mortality and cardiovascular (CV) mortality. Fetuin-A was a significant predictor of CIMT (p=0.045). Fetuin-A reliably predicted CAC and CIMT. Fetuin-A and CAC emerged as significant risk factors for all-cause and CV mortality in non-dialysis CKD.

Associations of HALP score with serum prostate-specific antigen and mortality in middle-aged and elderly individuals without prostate cancer.

The association between the Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score and serum prostate-specific antigen (PSA) and all-cause mortality remains underexplored. We aimed to investigate the relationship between HALP score and these outcomes among middle-aged and elderly individuals without prostate cancer (PCa). This cross-sectional study included participants aged 40 years and older from National Health and Nutrition Examination Survey (NHANES) 2001-2010. HALP score was calculated using the formula: HALP score = (Hemoglobin × Albumin × Lymphocytes)/Platelets. High PSA level was defined as a percentage free PSA (%fPSA) less than or equal to 25% and a total PSA (tPSA) level equal to or higher than 4.0 ng/mL. Mortality data were obtained through December 30, 2019 by linking to the National Death Index. Among 7,334 participants, 6,826 were classified as having low PSA level, while 508 were categorized as having high PSA level. Logistic regression revealed lower odds of high PSA level with higher HALP quartiles (P trend<0.001). Among 508 participants with high PSA level, over a median follow-up period of 10.13 years (IQR: 5.42-13.17 years), a total of 268 all-cause deaths were recorded. Cox regression analysis showed that participants in the highest HALP quartile had the lowest risk of all-cause mortality (HR = 0.527, 95% CI: 0.368-0.754) in participants with high PSA level. Restricted cubic spline analysis indicated a non-linear and negative correlation between HALP score and all-cause mortality, with an inflection point at 43.98 (P for non-linearity = 0.009). Random survival forest analysis ranked HALP score as the most significant predictor for all-cause mortality. Our study highlights that the HALP score the HALP score is associated with high PSA level and all-cause mortality among middle-aged and elderly individuals without PCa. Further research is warranted to validate these findings and elucidate underlying mechanisms.

Independent effect of the triglyceride-glucose index on all-cause mortality in critically ill patients with chronic obstructive pulmonary disease and asthma: A retrospective cohort study.

The triglyceride-glucose (TyG) index serves as a reliable proxy for insulin resistance (IR). IR has been linked to heightened incidence, prevalence, or severity of chronic obstructive pulmonary disease (COPD) and asthma. Prior research indicates that critically ill patients are prone to developing IR. Nevertheless, few studies have delved into the correlation between IR and all-cause mortality in critically ill patients with COPD and asthma. Therefore, the aim of this study is to explore the association between the TyG index and all-cause mortality in patients with COPD and asthma, with the goal of assessing the impact of IR on the prognosis of this patient population. This is a retrospective study, and all data are from the Medical Information Mart for Intensive Care IV (MIMIC-IV) critical care database. This study included 684 ICU patients with COPD and asthma and divided them into quartiles based on TyG index levels. The primary outcomes of this study were all-cause mortality during follow-up, encompassing mortality at 30 days, 90 days, and 180 days. The Kaplan-Meier analysis was used to compare all-cause mortality among the above four groups. Cox proportional hazards analyses were performed to examine the association between TyG index and all-cause mortality in critically ill patients with COPD and asthma. Restricted cubic spline analysis was used to assess potential nonlinear association between the TyG index and the primary outcome. A total of 684 patients (53.9% female) were included. The 90-days all-cause mortality rate and 180-days all-cause mortality were 11.7% and 12.3%, respectively. Kaplan-Meier analysis revealed a significant association between the TyG index and both 90-days all-cause mortality (log-rank p = .039) and 180-days all-cause mortality (log-rank p = .017). Cox proportional hazards analysis revealed a significant association between the TyG index and 90-days all-cause mortality in both the unadjusted model (HR, 1.30 [95% CI 1.08-1.57] p = .005) and the model adjusted for age, gender, and diabetes (HR, 1.38 [95% CI 1.15-1.67] p < .001). Similarly, the TyG index was associated with 180-days all-cause mortality in the unadjusted model (HR, 1.30 [95% CI 1.09-1.56] p = .004) and the model adjusted for age, sex, and diabetes (HR, 1.38 [95% CI 1.15-1.66] p < .001). The restricted cubic splines (RCS) regression model indicated a significant nonlinear association between the TyG index and both 90-days and 180-days all-cause mortality. Specifically, TyG index >4.8 was associated with an increased risk of mortality at both 90 days and 180 days. In summary, our results extend the utility of the TyG index to critically ill patients with COPD and asthma. Our study shows that the TyG index is a potential predictor of all-cause mortality in critically ill patients with COPD and asthma. In addition, in patients with a TyG index exceeding 4.8, there was a heightened risk of mortality. Measuring the TyG index may help with risk stratification and prognosis prediction in critically ill patients with COPD and asthma. Further prospective studies are needed to confirm our findings.

CMR 2-46 - AI Left Ventricular Segmentation Outperforms Humans for Prediction of All-cause Mortality in Known or Suspected Coronary Disease

CMR 2-46 - AI Left Ventricular Segmentation Outperforms Humans for Prediction of All-cause Mortality in Known or Suspected Coronary Disease

Identifying heat thresholds for South Africa towards the development of a heat-health warning system.

Exposure to heatwaves may result in adverse human health impacts. Heat alerts in South Africa are currently based on defined temperature-fixed threshold values for large towns and cities. However, heat-health warning systems (HHWS) should incorporate metrics that have been shown to be effective predictors of negative heat-related health outcomes. This study contributes to the development of a HHWS for South Africa that can potentially minimize heat-related mortality. Distributed lag nonlinear models (DLNM) were used to assess the association between maximum and minimum temperature and diurnal temperature range (DTR) and population-adjusted mortality during summer months, and the effects were presented as incidence rate ratios (IRR). District-level thresholds for the best predictor from these three metrics were estimated with threshold regression. The mortality dataset contained records of daily registered deaths (n = 8,476,532) from 1997 to 2013 and data for the temperature indices were for the same period. Maximum temperature appeared to be the most statistically significant predictor of all-cause mortality with strong associations observed in 40 out of 52 districts. Maximum temperature was associated with increased risk of mortality in all but three of the districts. Our results also found that heat-related mortality was influenced by regional climate because the spatial distribution of the thresholds varied according to the climate zones across the country. On average, districts located in the hot, arid interior provinces of the Northern Cape and North West experienced some of the highest thresholds compared to districts located in temperate interior or coastal provinces. As the effects of climate change become more significant, population exposure to heat is increasing. Therefore, evidence-based HHWS are required to reduce heat-related mortality and morbidity. The exceedance of the maximum temperature thresholds provided in this study could be used to issue heat alerts as part of effective heat health action plans.