Long-term Mortality Research Articles

Long-term cardiovascular outcomes of immune checkpoint inhibitor-related myocarditis: A large single-centre analysis.

Immune checkpoint inhibitors (ICI) are the cornerstone of modern oncology; however, side effects such as ICI-related myocarditis (irM) can be fatal. Recently, Bonaca proposed criteria for irM; however, it is unknown if they correlate well with cardiovascular (CV) ICI-related adverse events. Additionally, whether incident irM portends worse long-term CV outcomes remains unclear. We aimed to determine the incidence of long-term CV comorbidities and CV mortality among irM patients. The ICI-related adverse event (irAE) registry was queried to identify irM patients by using Bonaca criteria. Random controls were selected after excluding patients with other concomitant irAEs. Patients' demographics, comorbidities and myocarditis presenting features were gathered. Outcomes included 2-year freedom from CV comorbidities (composite of atrial fibrillation, stroke, myocardial infarction and heart failure) and freedom from CV death. IrM was treated as a time-varying covariate. Seventy-six patients developed irM at a median of 167days (mean age 69, 63.2% male, 47% lung cancer). Majority of patients had new wall motion abnormalities or EKG changes on presentation. Mean LVEF was 43%, median peak TnT was 0.81, and median NTproBNP was 2057 at irM onset. Two-year freedom from CV comorbidities (67% vs 86.8%, P<0.001) and death (93.4% vs 99.3%, P=0.003) was lower among irM patients. Incident irM was an independent predictor of CV death (HR 8.28, P=0.048), but not CV comorbidities (HR 2.21, P=0.080). This is the largest case-control study on irM highlighting worse long-term CV outcomes. Future studies are needed to establish appropriate therapeutic strategies and efficient screening strategies for irM survivors.

Minimally Invasive Surgery for Spontaneous Intracerebral Hemorrhage: Meta-Analysis of High-Quality Randomized Clinical Trials.

Spontaneous intracerebral hemorrhage (ICH) poses high mortality and morbidity rates with limited evidence-based therapeutic approaches. We aimed to evaluate the current evidence for the role of minimally invasive surgery (MIS) in the management of ICH. This systematic review and meta-analysis followed recommended guidelines and protocols. Medline, Embase, Scopus, and the Cochrane Library were searched from inception up to April 12, 2024. The inclusion was restricted to randomized clinical trials (RCTs) of high quality, ensuring they were not deemed to have a high risk of bias in any of the Cochrane risk of bias tool (RoB2) domains. Primary outcomes were good functional outcome (modified Rankin scale, 0-3) and mortality beyond 90 days. Secondary outcomes were early mortality within 30 days and rebleeding rates. We pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) using random-effects models. Fourteen high-quality RCTs were included. There were 3,027 patients with ICH (1,475 randomized to MIS, and 1,452 randomized to medical management or craniotomy). Of included patients, 1,899 (62.7%) were males. MIS resulted in higher odds of achieving long-term good functional outcome (OR, 1.51 [95% CI, 1.25-1.82]), lower odds of long-term mortality (OR, 0.72 [95% CI, 0.57-0.90]) and lower odds of early mortality (OR, 0.73 [95% CI, 0.56-0.95]). Rebleeding rates were similar (OR, 1.10 [95% CI, 0.55-2.19]). The treatment effect of MIS was consistent across multiple sensitivity and subgroup analyses, including individuals with deep ICH. This meta-analysis provides high-quality clinical trial evidence supporting the use of MIS as a primary treatment strategy in the management of ICH. ANN NEUROL 2024.

The prognostic impact of stress hyperglycemia ratio for all-cause mortality in patients with Psoriasis.

Aims The stress hyperglycemia ratio (SHR) is a valuable biomarker of acute hyperglycemia, significantly correlated with unfavorable prognosis in various conditions. However, its impact on Psoriasis has not been studied. We explored the association between SHR and long-term mortality in psoriasis patients. Methods We conducted a prospective cohort study with 288 psoriasis patients from the 2003-2006 and 2009-2014 NHANES. Participants were divided into three groups based on SHR tertiles: T1 (SHR ≤ 0.870), T2 (SHR 0.870-0.958), and T3 (SHR ≥ 0.958). Cox regression and Kaplan-Meier analyses assessed the correlation between SHR and mortality, while restricted cubic splines explored non-linear correlations. ROC analyses determined the optimal SHR cut-off value for predicting clinical outcomes. Results Out of 288 Psoriasis patients, 38 all-cause deaths occurred during an average follow-up of 112.13 ± 45.154 months. Kaplan-Meier analysis indicated that higher SHR values were linked to an increased risk of all-cause mortality (log-rank P = 0.049). A U-shaped relationship was observed between SHR and all-cause mortality (P for non-linear = 0.028). Spearman correlation revealed significant associations between SHR and WC, BMI, neutrophil, monocyte, lymphocyte counts, SCr, uric acid, DM and MetS (all P < 0.05). After adjusting for confounders, multivariate Cox regression showed that SHR was associated with a 10.937-fold risk of all-cause mortality. ROC curve analysis identified an optimal SHR cut-off value of 1.045 for predicting long-term all-cause mortality in psoriasis patients. Conclusions Elevated SHR value independently correlates with all-cause mortality in Psoriasis patients, displaying a U-shaped relationship with clinical endpoints. An optimal SHR cut-off value of 1.045 has been determined for predicting clinical outcomes.

The Impact of Comorbidity and Age on the Risk of Hospitalization and Mortality in Patients with Previous COVID-19 Infection—Based on Nationwide Data

Objectives: The influence of comorbidity on long-term hospitalization and mortality after COVID-19 in adults (40–59 years) and older adults (≥60 years) is yet to be explored. Methods: This is a Danish population-based cohort study of patients with a first-time positive PCR test for COVID-19 from 1 March 2020, to 28 February 2022 (N = 1,034,103). Exposed cohorts were patients with 1) a Charlson Comorbidity Index (CCI) score of 1–2 and 2) a CCI score ≥3, who were compared to patients without comorbidity (CCI of zero) within the groups of adults (67.9%) and older adults (32.1%) for the risk of hospitalization and mortality. Next, within the age groups, each disease category of the CCI was considered as an exposed cohort and compared to patients who did not have the specific disease of interest. Adjusted hazard ratios (HR) for hospitalization and mortality were estimated by Cox regression models adjusted for confounders. Results: The highest HRs were in adult patients with a CCI score of ≥3. The adjusted HR was 4.54 (95%CI: 4.38–4.70) for hospitalization, and among older adults it was 3.05 (95%CI: 2.99–3.11). The adjusted HR for mortality among adults with a CCI score ≥3 was 21.04 (95%CI: 18.86–23.47), and the adjusted HR for mortality among older adults was 4.61 (95%CI: 4.44–4.78). The underlying disease influenced the risk estimates among adults and older adults, and “dementia” had the highest impact on mortality. Conclusion: A CCI score of 1 or above increases the risk of hospitalization and mortality up to 2 years after a positive PCR test of COVID-19 for adults and older adults. Further, the type of underlying disease in older adults highly influences the risk of hospitalization and mortality.

Effects of Injury Registry Data on Policy Making, Hospitalizations, and Mortality: Protocol for a Systematic Review and Meta-Analysis.

Initiated in 2021, a Brazilian project aims to establish a national injury registry, compiling comprehensive data on events and individuals across the country, irrespective of injury severity. The registry integrates information from prehospital and hospital care, diverse health systems lacking interoperability, and sectors such as firefighters and the police. Its primary goal is to enhance health surveillance by providing timely, high-quality information, guiding prevention strategies, and informing policy making. The project still aims to reduce long-term morbidity and mortality associated with injuries. A knowledge gap remains regarding the effects of injury registries in relation to policies and injury outcomes. This protocol outlines a systematic review and meta-analysis to answer "What is the effect of implementation and use of injury registry data on policy making, hospitalization, and mortality?" The systematic review follows PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, focusing on studies reporting results related to the implementation and use of injury registries, including trauma registries. Outcomes of interest include policy making, hospitalization rates or duration, and mortality. Registries within well-defined administrative boundaries will be included. Data will be collected from PubMed, Embase, Scopus, Web of Science, Lilacs, and references. Records will be independently screened by 2 reviewers, with any disagreements resolved through arbitration by a third reviewer. Homogeneous studies, with 3 or more evaluating the same outcome, may undergo meta-analysis. Subgroup analyses by registry type, injury groups, and other selected variables of interest will be conducted. Sensitivity analysis, risk of bias assessment, publication bias evaluation, and quality appraisal will also be performed. This systematic review will run from November 2023 to June 2024. No identical review was found. Search strategies were finalized, the bibliographic search started, duplicates were eliminated, and title and abstract screening began. Of 35 studies retrieved, 85 were excluded due to duplication, leaving 50 for selection. This study is timely, aligning with ongoing national efforts to implement an injury registry. By synthesizing available evidence, we will identify the potential of injury registries to guide the decisions of Brazilian policy makers. PROSPERO CRD42023481528; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=481528. PRR1-10.2196/55029.

Metabolomics-Based Machine Learning for Predicting Mortality: Unveiling Multisystem Impacts on Health

Reliable predictors of long-term all-cause mortality are needed for middle-aged and older populations. Previous metabolomics mortality studies have limitations: a low number of participants and metabolites measured, measurements mainly using nuclear magnetic spectroscopy, and the use only of conventional statistical methods. To overcome these challenges, we applied liquid chromatography–tandem mass spectrometry and measured &gt;1000 metabolites in the METSIM study including 10,197 men. We applied the machine learning approach together with conventional statistical methods to identify metabolites associated with all-cause mortality. The three independent machine learning methods (logistic regression, XGBoost, and Welch’s t-test) identified 32 metabolites having the most impactful associations with all-cause mortality (25 increasing and 7 decreasing the risk). From these metabolites, 20 were novel and encompassed various metabolic pathways, impacting the cardiovascular, renal, respiratory, endocrine, and central nervous systems. In the Cox regression analyses (hazard ratios and their 95% confidence intervals), clinical and laboratory risk factors increased the risk of all-cause mortality by 1.76 (1.60–1.94), the 25 metabolites by 1.89 (1.68–2.12), and clinical and laboratory risk factors combined with the 25 metabolites by 2.00 (1.81–2.22). In our study, the main causes of death were cancers (28%) and cardiovascular diseases (25%). We did not identify any metabolites associated with cancer but found 13 metabolites associated with an increased risk of cardiovascular diseases. Our study reports several novel metabolites associated with an increased risk of mortality and shows that these 25 metabolites improved the prediction of all-cause mortality beyond and above clinical and laboratory measurements.

Long-term trends analysis of the incidence and mortality in patients with ovarian cancer: a large sample study based on SEER database.

To analyze long-term trends of the incidence and mortality of ovarian cancer in the United States. Patients diagnosed with ovarian cancer were obtained from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2017. Joinpoint regression analysis was used to analyze the incidence and mortality trend, and the changes were reported as average annual percentage change (AAPC) with a 95% confidence interval (CI). Kaplan-Meier survival curve and Cox regression analyses were utilized for survival analysis. A total of 74 682 patients were included, among whom 49 491 (66.27%) died and 44 487 (59.57%) died from ovarian cancer. The mean age was 61.95 ± 15.23years. The incidence of ovarian cancer showed a decreased trend from 2000 to 2017 with an AAPC of -1.9 (95%CI: -2.0, -1.7). Both the overall mortality and cancer-specific mortality for ovarian cancer decreased from 2000 to 2017, with AAPCs of -5.0 (95%CI: -5.7, -4.2) and -4.6 (95%CI: -5.4, -3.8), respectively. There was a significant decrease in the incidence and mortality of patients with the distant SEER stage, histological subtypes of serous and malignant Brenner carcinoma, and grades II and III from 2000 to 2017. Older age, Black race, histological subtypes of carcinosarcoma, higher tumor grade, and radiotherapy were associated with poorer overall survival and cancer-specific survival, whereas higher income, histological subtype of endometrioid, and surgery were associated with better survival. This study provided evidence of a statistically significant decrease in the incidence and mortality of ovarian cancer from 2000 to 2017. Key message What is already known on this topic? Ovarian cancer is one of the most common tumors in women, with high morbidity and mortality. However, trends in long-term morbidity and mortality of patients with ovarian cancer have not been reported. What this study adds Overall incidence and mortality for ovarian cancer showed a decreased trend from 2000 to 2017, and trends in incidence and mortality varied by stage, histological subtype, and tumor grade. Factors associated with overall survival and cancer-specific survival also differ. How this study might affect research, practice, or police This study provides evidence of long-term trends in ovarian cancer incidence and mortality from 2000 to 2017.

Coronary artery bypass grafting vs. percutaneous coronary intervention in severe ischaemic cardiomyopathy: long-term survival.

The optimal revascularization strategy in patients with ischaemic cardiomyopathy remains unclear with no contemporary randomized trial data to guide clinical practice. This study aims to assess long-term survival in patients with severe ischaemic cardiomyopathy revascularized by either coronary artery bypass grafting (CABG) or percutaneous coronary intervention (PCI). Using the Australian and New Zealand Society of Cardiac and Thoracic Surgeons and Melbourne Interventional Group registries (from January 2005 to 2018), patients with severe ischaemic cardiomyopathy [left ventricular ejection fraction (LVEF) <35%] undergoing PCI or isolated CABG were included in the analysis. Those with ST-elevation myocardial infarction and cardiogenic shock were excluded. The primary outcome was long-term National Death Index-linked mortality up to 10 years following revascularization. Risk adjustment was performed to estimate the average treatment effect using propensity score analysis with inverse probability of treatment weighting (IPTW). A total of 2042 patients were included, of whom 1451 patients were treated by CABG and 591 by PCI. Inverse probability of treatment weighting-adjusted demographics, procedural indication, coronary artery disease extent, and LVEF were well balanced between the two patient groups. After risk adjustment, patients treated by CABG compared with those treated by PCI experienced reduced long-term mortality [adjusted hazard ratio 0.59, 95% confidence interval (CI) 0.45-0.79, P = .001] over a median follow-up period of 4.0 (inter-quartile range 2.2-6.8) years. There was no difference between the groups in terms of in-hospital mortality [adjusted odds ratio (aOR) 1.42, 95% CI 0.41-4.96, P = .58], but there was an increased risk of peri-procedural stroke (aOR 19.6, 95% CI 4.21-91.6, P < .001) and increased length of hospital stay (exponentiated coefficient 3.58, 95% CI 3.00-4.28, P < .001) in patients treated with CABG. In this multi-centre IPTW analysis, patients with severe ischaemic cardiomyopathy undergoing revascularization by CABG rather than PCI showed improved long-term survival. However, future randomized controlled trials are needed to confirm the effect of any such benefits.

The association between exercise-induced ventricular premature contractions and long-term mortality in patients without coronary artery disease

Abstract Background/Introduction The treadmill exercise test is widely used clinical test to determine cardiovascular risk and mortality, regardless of clinical risk factors (1). ST-segment changes detected in the exercise test are shown to predict myocardial ischemia (2) and premature ventricular complexes (PVCs) are frequently observed during exercise stress testing (3). Exercise-related PVC is observed in 14% to 23% of healthy individuals without significant heart disease (4,5). The literature on the role of PVCs observed during treadmill exercise testing in predicting prognosis is controversial. Purpose Therefore, we aimed to evaluate the clinical results of PVCs seen during exercise testing in patients who had been diagnosed with non-obstructive coronary artery disease after coronary angiography. Methods The study population consisted of 1624 consecutive patients who were considered high risk according to the Duke treadmill risk score and had no significant stenosis on coronary angiogram from January 2016 to April 2021. Patients with previous history of coronary revascularization, previous myocardial infraction, heart failure, moderate or severe heart valve disease, congenital heart disease, cardiomyopathy, bundle branch block, and left ventricular hypertrophy were excluded from the study. The primary endpoints of the study were long-term all-cause mortality of patients who had PVCs during the exercise test or during the resting phase. Results The long-term mortality was observed in 53 patients out of 1624 patients in the mean follow-up of 47 months. PVCs was observed in 293 (18.7%) patients without long-term mortality, while PVCs was observed in 24 (45.3%) patients with long-term mortality (p&amp;lt;0.001). The model adjusted for all covariates showed that the presence of PVCs in the recovery phase (p&amp;lt;0.007, HR (95% CI) 2.244 (1.244 – 4.047)) and advanced age (p&amp;lt;0.001, HR (95% CI) 1.194 (1.143 – 1.247)) were associated with long-term all-cause mortality (Figure 1). Considering Kaplan-Meier curve, individuals with PVCs in recovery had significantly higher risk of long-term mortality compared with those with without PVCs (log-rank statistic: 22.47, p&amp;lt;0.001) (Figure 2). Conclusion(s) The study highlights that PVCs monitored in the recovery phase of the treadmill exercise test were associated with long -term mortality in patients without structural heart disease and coronary artery disease.Figure 2Figure 1

Single spot albumin to creatinine ratio as an independent predictor of 12 years follow-up mortality in acute coronary syndromes without ST-segment elevation

Abstract Background To the best of our knowledge there is no evidence of the association between microalbuminuria, measured as single spot urine albumin to creatinine ratio (ACR), with very long-term mortality in patients with non-ST segment Elevation Acute Coronary Syndromes. Aim To evaluate the association between admission ACR and very long-term all-cause mortality in an unselected cohort of non-ST-segment elevation acute coronary syndromes patients. Methods A prospective cohort study was conducted, including patients with non-ST-segment elevation acute coronary syndromes admitted in the Intensive Care Unit. The ACR was determined in spontaneous urine samples during the first 24 hours after admission and analyzed by immunoturbidimetry. The primary endpoint was all-cause mortality during the follow-up. Actuarial survival curves were compared by log rank test and a logistical Cox regression analysis was performed to identify variables independently associated with mortality in the follow-up. Statistics were calculated using the IBM Statistics program SPSS version 26. Results 600 patients were analyzed. The overall average ACR value was 7 mg/gr (95% CI 4-26). 76% had normoalbuminuria (ACR 0-30 mg/gr), 22% had microalbuminuria (ACR 30-300 mg/gr), and 1.5% had macroalbuminuria (ACR &amp;gt; 300 mg/gr). The median and interquartile range of follow-up was 12 years (95% IC 11-14). The average ACR among those who met the primary endpoint was 59.15 mg/gr (95% CI 52-66) and among the survivors, 27.66 mg/gr (95 % CI 63-77), p &amp;gt; 0,003. ACR terciles were defined by 33th and 66th percentiles: tercile 1: patients with ACR of 0 to 4 mg/gr, tercile 2: ACR from 4 to 17 mg/g and tercile 3 values greater than 17mg/gr. Strong associations were observed between ACR with age, hypertension, stroke and history of COPD, previous use of angiotensin II converter/blocking enzyme inhibitors, systolic blood pressure at admission, ST segment deviation, left ventricle ejection fraction and elevation of serum Troponin T and CPK MB. All cause-mortality during the follow-up was 14% (CI 95% 11-17). Elevation of ACR was significantly associated with long term mortality risk: log rank test chi square: 133.936, p = 0.0001. By multivariate Cox regression analysis adjusted by age, gender, diabetes, hypertension, serum creatinine, troponin T elevation, ST segment deviation, previous AMI, prior use of aspirin, statins and percutaneous coronary intervention after hospitalization, the ACR was independently associated with a 12-year follow-up mortality: OR 13 (95% IC 5-35; p &amp;lt; 0.0001). Conclusion Single spot urine ACR at admission is a strong predictor of 12-year follow-up mortality in an unselected cohort of patients with non-ST-segment elevation acute coronary syndromes.Baselines characteristics of cohortsMultivariable COX regression analysis

Baseline shock index-creatinine clearance score and long-term mortality after ACS. Results from 24 years of follow-up of the ABC study on heart disease

Abstract Background Shock Index-Creatinine Clearance score (SI-C) is an updated version of the shock index that includes renal function. Recent studies reported its potential as a novel and simple risk stratification tool for predicting in-hospital mortality in acute coronary syndrome (ACS) patients. Purpose To assess the long-term predictive value of baseline SI-C score in patients after ACS. Methods This preliminary prospective analysis included 589 patients with ACS admitted to three Italian hospitals and discharged alive. Baseline clinical and laboratory data were collected within the first 7 hospitalization days and baseline SI-C score was calculated as [(SI×100)-estimated creatinine clearance]. Patients were prospectively followed for 24 years or until death. Results Virtually all patients completed the follow-up, representing 7066 person-years. Patients' mean age was 66±12 years, 70% were males, and 482(82%) had died during follow-up. Compared to those who survived, deceased patients were significantly different in many of the baseline clinical characteristics. They also showed a significantly higher SI-C values ( -11± 25 vs. -36±23, p&amp;lt;0.0001). The predictive value of SI-C for 24-year mortality was very good (area under the curve= 0.783, 95% CI: 0.738-0.827, p&amp;lt;0.001). The cumulative risk was significantly higher in the upper SI-C tertile (log-rank = 162.1, p &amp;lt; 0.001). Unadjusted Cox regression survival analysis showed that the SI-C score was significantly associated with long-term all-cause mortality (HR: 2.1, 95%CI 1.8-2.3, p&amp;lt;0.0001). Similar results were obtained with the fully adjusted model. Conclusion Baseline SI-C seems to be an effective and independent predictor of long-term all-cause mortality after ACS.

An examination of co-existence of metabolic dysfunction-associated liver disease and chronic kidney disease and its effect on long-term mortality in patients with acute myocardial infarction

Abstract Background Metabolic dysfunction-associated liver disease (MASLD) and chronic kidney disease (CKD) are both diseases that can cause increased cardiovascular risk. Recent studies have revealed that the combination of both is a more potent risk factor for ischemic heart disease. However, the mortality and outcomes of patients presenting with acute myocardial infarction (AMI) with varying combination of these two risk factors have yet to be examined. Aims Our research aims to examine the effects of concomitant MASLD and CKD on mortality in patients presenting with AMI. Methods This research examined the features and outcomes of individuals experiencing AMI at our institution. The patients were stratified into 4 groups – patients without MASLD or CKD (MASLD(-)/CKD(-)), patients with MASLD without CKD (MASLD(+)/CKD (-)), patients with CKD without MASLD (MASLD(-)/CKD(+)), and patients with both MASLD and CKD (MASLD(+)/CKD(+)). MASLD was identified as hepatic steatosis along with at least one of five metabolic criteria, and hepatic steatosis was assessed using the Hepatic Steatosis Index. CKD is defined as estimated glomerular filtration rate (eGFR) less than 60 mL/min/1.73 m². A Kaplan-Meier curve was generated to analyse long-term all-cause mortality, and Cox regression analysis was used to identify independent predictors of mortality. Results A total of 6757 patients who presented with AMI were examined over 3.2 ± 2.4 years. Of whom, 3766 (55.7%) individuals were in the MASLD(-)/CKD(-) group, 1945 (28.8%) in the MASLD(+)/CKD (-) group, 675 (10.0%) in the MASLD(-)/CKD(+) group and 371 (5.5%) in the MASLD(+)/CKD(+) group. The MASLD(+)/CKD(+) group had the highest risk of cardiogenic shock compared to their counterparts (p&amp;lt;0.001). The highest 30-day mortality rates were found in the MASLD(+)/CKD(+) group (17.8%), followed by MASLD(-)/CKD(+) (11.6%), MASLD(+)/CKD(-) (4.6%) and MASLD(-)/CKD(-) (4.0%) (p&amp;lt;0.001). In terms of long-term mortality, the Kaplan-Meier curve demonstrated that both MASLD(-)/CKD(+) and MASLD(+)/CKD(+) groups had unfavorable survival following an AMI. Conclusions Patients with AMI, in the presence of concomitant MASLD and CKD, had the highest 30-day mortality rates. They were at the highest risks of AMI-related complications such as heart failure and cardiogenic shock. This study highlights the prognostic impact of cardiovascular-liver-kidney-metabolic health on AMI, and future studies are warranted to mitigate this risk.Figure 1:30 – day all cause mortalityFigure 2:Long term mortality

Evaluation of naples prognostic score to predict long-term mortality in patients with pulmonary embolism

Abstract Background/Introduction APE mortality rates are still not satisfactory despite new diagnosis and treatment methods (1). Thus, risk classification is crucial due to the wide range of clinical presentations. Several risk stratifications have been developed such as simplified Pulmonary Embolism Severity Index (sPESI) (2). Nonetheless, there remains a need for an optimal indicator that can be conveniently measured with a high degree of precision to predict clinical outcomes. Naples prognostic score (NPS) is a newly defined index that is developed to determine the prognosis of cancer patients and reflects the inflammatory and nutritional status of the patients (3). Purpose The aim of our study was to determine the long-term prognostic value of NPS in APE patients. Methods Two hundred ninety-three patients diagnosed with APE between November 2016 and February 2022 were included in the study. NPS consists of 4 parameters: serum albumin, total cholesterol (TC) concentration, neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR). Naples scores of all patients were calculated and the patients were divided into 2 groups according to their NPS and their long-term mortality was compared. The primary endpoint of the study was long-term mortality. Results The long-term mortality was observed in 38 patients out of 293 patients in the mean follow-up of 24 (16-42) months. In the low-Naples risk group (group 1), there were 215 patients, while the high-Naples risk group (group 2) had 78 patients. Multivariate analysis showed that NPS as a categorical parameter (HR: 3.458, 95%CI:1.734-6.896, p&amp;lt;0.001), NPS as a numerical parameter, (HR:1.651, 95%CI:1.217-2.241, p=0.001) and simplified pulmonary embolism severity index (sPESI) (HR:1.887, 95%CI:1.223-2.911), p=0.004) score were independent predictors of long-term mortality. The receiver operating characteristic curve analysis showed that the model 2 with NPS as continuous had higher discriminative ability than the baseline model for detecting patients with mortality (Area under curve (AUC) values = 0.791 vs. 0.723, respectively, p=0.04) (Figure 1A). The long-term predictive capability of NPS was non-inferior than the sPESI score (Figure 1B). Conclusions The current study highlights that NPS, which reflects systemic inflammation and nutritional status may have potential to predict long-term mortality in APE patients. To our knowledge, this is the first study to show the relationship between long-term mortality and NPS in APE patients.

Artificial intelligence assessment of heart failure and mortality after acute stroke

Abstract Background/Introduction The adverse cardiovascular outcomes following a stroke have shown significant associations with post-stroke mortality. However, studies focusing on predicting heart failure and its impact on long-term mortality are scarce. Purpose To address this gap, we employed an commercially approved artificial intelligence/machine learning enabled software as a medical device (AiTiALVSD version 1.00.00) which uses only 12 lead electrocardiogram data, resulting probability score for predicting left ventricular systolic dysfunction. We derived the AiTiALVSD probability score from initial ECGs at stroke admission, and assess its implications for prediction of heart failure and long-term mortality. Methods We collected data from 335 ischemic stroke patients admitted to a cardiovascular center during acute periods between 2013 and 2019. The AiTiALVSD score was employed to predict heart failure with reduced ejection fraction and heart failure with mild reduced ejection fraction, analyzed through logistic regression. Subsequently, we used the Cox Hazard proportional model, incorporating the AiTiALVSD score and clinical factors, to predict long-term mortality. Results The model incorporating the AiTiALVSD score with clinical variables demonstrated a higher AUC for predicting heart failure (0.905 [95% CI, 0.827-0.927] vs. 0.828 [95% CI, 0.749-0.907], p&amp;lt;0.004) than clinical variables alone. Moreover, for long-term mortality prediction, this model outperformed the conventional mortality score (AUC, 0.884 [95% CI, 0.836-0.933] vs. 0.755 [95% CI, 0.690-0.820], p&amp;lt;0.001). Conclusion Multivariable models which combine the AiTiALVSD score with clinical factors, effectively predicts heart failure and long-term mortality. This model could enhance therapeutic strategy tailoring by providing acute phase prognostic predictions for individual stroke patients.Prediction performance for heart failurePrediction performance for mortality

Is the female sex a risk factor for heart failure after myocardial infarction?

Abstract Background In previous observations, female sex was associated with heart failure after myocardial infarction (MI). However, women were older and had more risk factors and were not treated the same as men. Purpose Our aim was to investigate the differential impact of sex on heart failure (including cardiogenic shock) and outcome in a propensity score matched population with MI who had undergone percutaneous coronary intervention (PCI) and the association between sex, heart failure and long-term mortality. Methods Data from 3624 (30.6% women) MI patients who underwent PCI at our institution were analyzed. Propensity-score matching analysis was performed to adjust for differences in baseline characteristics between men and women. After propensity matching, the sample comprised 2170 patients (1085 women and 1085 men). Heart failure was defined by clinical criteria (bilateral pulmonary rales, S3 gallop, edema or cardiogenic shock) and/or pulmonary edema on chest X-ray and/or ejection fraction &amp;lt;30%. The data were analyzed using descriptive statistics. The median follow-up time was 27 months (25th, 75th percentile: 9,48). Results In hospital, 329 (16.4%) patients developed heart failure, with a similar incidence in men and women (156(15.5%) vs. 173(17.2%);p=0.33) (Figure 1). Furthermore, female sex was not associated with heart failure either univariately (OR 1.13;95%CI 0.89-1.43;p=0.31) or after adjustment for confounding factors (aOR 1.27;95% CI 0.96-1.66;p=0.093). Age, hypertension, hyperlipidemia, ST- elevation MI, and P2Y12 receptor inhibitors were associated with heart failure. We followed the patients for up to six years. At the end of the observation period, 330(16.4%) patients had died. The mortality rate was similar in both sexes (159(15.8%) men died compared to 171(17.0%) women; p=0.51) (Figure 2). In addition, sex was not associated with long-term mortality (aHR 1.11;95%CI 0.88-1.40;p=0.38) after adjusting for confounders. In-hospital heart failure was independently associated with long-term mortality (aHR 2.64;95%CI 2.04-3.41;p&amp;lt;0.0001). Hyperlipidemia, age, ST- elevation MI, radial access, P2Y12 receptor inhibitor and GFR were also associated with long-term mortality. Conclusions Our results suggest that sex itself is not associated with heart failure after MI when women are treated similarly to men, have similar risk factors, and are of similar age. It is more likely that women are more frequently affected by heart failure because they are older, have more risk factors, are less likely to be revascularized, and are less likely than men to be treated with guideline-recommended therapy,Heart failure in men and womenLong-term all-cause mortality

Validation of the MIDA mortality risk score in a surgical cohort of patients with primary mitral regurgitation

Abstract Background and aim The MIDA scale is a prognostic tool for stratification of short- and long-term mortality risk in patients with primary mitral regurgitation (PMR). The aim of this study is to validate the MIDA (1) score in our population of PMR treated with surgery. Methods Retrospective analysis of a prospective cohort of patients with PMR who underwent mitral valve surgery in a tertiary care center from 2014 to 2022. The necessary parameters for calculating the MIDA Score (age, symptoms, atrial fibrillation, left atrial diameter, right ventricular systolic pressure (RVSP), left ventricular end-systolic diameter (LVESD), and LV ejection fraction (LVEF)) were collected, and the MIDA score for each patient was calculated. Thereafter, patients were classified into seven different risk groups. One year and long-term mortality during follow-up were recorded. A logistic regression analysis was performed to evaluate the association of each parameter with outcomes. Finally, curves for the cumulative incidence of all-cause mortality according to the MIDA score were generated with the Kaplan–Meier method. Results A total of 349 patients were included. Mean age was 68.5 [12.4] years, 55.8% were male, and the median LVEF was 60% (55-65). Mean follow up was 3.28 (2) years. One year mortality occurred in 29 (8.3%) patients, and long-term mortality in 59 (16.9%). According to the MIDA score, the distribution of patients in each subgroup was as follows: score 0 (n=28), score 1-2 (n=35), score 3-4 (n=60), score 5-6 (n=99), score 7-8 (n=81), score 9-10 (n=35), score &amp;gt; 11 (n=11). Most of our cohort was classified as intermediate-risk patients, with a median score of 6 (3-8). In the univariable logistic regression analysis, age, symptoms before surgery and RVSP were the only MIDA parameters significantly associated with mortality (Table-Figure 1). In our population, the discriminatory capacity of the MIDA score, was moderate, with an area under the ROC curve of 0.676 CI (0.624-0.725) for one year mortality, and 0.702 (0.651-0.749) for long term mortality. The best cut-off point for predicting one-year and long-term mortality was a MIDA score of 7. Kaplan-Meier curves for mortality during follow-up are shown in Figure 2. Conclusions The MIDA score showed a fair discriminatory capacity in our surgical cohort of patients with PMR. Variables included in the score that had a significant association with mortality were age, presence of symptoms and elevated RVSP. LV parameters included in the MIDA, which are the current class I indication for surgery, did not show a significant association with outcomes. Different echocardiographic variables to evaluate cardiac damage in PMR are needed to achieve better stratification.Table-Figure 1Figure 2

The prognostic value of metabolic dysfunction associated steatotic liver disease in acute myocardial infarction

Abstract Background Patients with metabolic dysfunction-associated steatotic liver disease (MASLD) are at increased risk of incident cardiovascular disease. However, the clinical characteristics and prognostic importance of MASLD in patients presenting with acute myocardial infarction (AMI) have yet to be examined. Methods This study compared the characteristics, and outcomes of patients with and without MASLD presenting with AMI at a tertiary centre in Singapore. MASLD was defined as hepatic steatosis, with at least one of five metabolic criteria. Hepatic steatosis was determined using the Hepatic Steatosis Index. Propensity score matching was performed to adjust for age and sex. Kaplan-Meier curve was constructed for long-term all-cause mortality. Cox regression analysis was used to investigate independent predictors of long-term all-cause mortality. Results In this study of 4446 patients with AMI, 2223 patients with MASLD were matched with patients without MASLD using propensity scores. The mean follow-up duration was 3.4 ± 24 years. The MASLD group had higher rates of obesity, diabetes, and chronic kidney disease than their counterparts. Patients with MASLD had early excess all-cause mortality (6.8% vs 3.6%, p&amp;lt;0.001) at 30 days, with unfavorable mortality rates sustained in the long-term (18.3% vs 14.5%, p=0.001) compared to those without MASLD. After adjustment, MASLD remained independently associated with higher long-term all-cause mortality (HR 1.338, 95% CI 1.115-1.604). Conclusion MASLD embodies a higher burden of metabolic dysfunction and is an independent predictor of long-term mortality in the AMI population. Its early identification may be beneficial for risk stratification and provide therapeutic targets for secondary preventive strategies in AMI.Kaplan Meier curve of long-term all-caus

Assessing one-year risk of heart failure following first time myocardial infarction and subsequent five-year mortality risk: a nationwide study of 34,401 patients

Abstract Introduction A comprehensive understanding of the post-myocardial infarction (MI) trajectory leading to heart failure (HF) and its profound impact on long-term mortality is imperative for effective secondary prevention and risk assessment. Methods We conducted a registry-based nationwide cohort study of all Danish patients with a first MI during 2014 to 2020. Excluding patients with prior HF, individuals were followed for one year post-MI, assessing HF incidence through hospital admissions and visits to elective HF ambulatory clinics. Among those who survived one year, long-term mortality 1-6 years post-index MI was assessed using landmark analysis and Cox proportional hazards models adjusting for age, gender and comorbidities and hazard. Patients were categorized into three groups: not HF, referred for elective HF outpatient follow-up, and acute admission for HF. Results Among 34,301 individuals with a first MI and surviving the first year (median age 67.5, and 66.9 % male), 3.3 % were admitted acute for HF while 11.2 % had an elective HF outpatient follow-up within one year of the MI event (see Figure 1a). We observed a significant association between acute HF admissions post-MI and increased five-year mortality risk (hazard ratio [HR] 1.63, 95% confidence interval [CI] 1.40-1.90, p-value &amp;lt;0.001, see Figure 1b) (absolute 5-year risk: 18.4 %). In contrast, the five-year mortality risk for patients with elective outpatient HF follow-up was comparable to that of individuals without HF (HR 1.06 [0.94-1.19], p-value 0.34) (absolute 5-year risk: 9.6 vs 8.5 %). Conclusion Our findings suggest that acute admission for HF after a first time MI occur in 3.3 % of the patients with a subsequent significantly increased mortality risk compared to patients that do not develop clinical HF. Admission for HF in patients with a first time MI should be considered as a relatively rare but fatal complication.

Clinical impact of Sarcopenia on long-term mortality in patients undergoing coronary bypass grafting

Abstract Background Sarcopenia is an aging-related condition characterized by loss of skeletal muscle mass and is an indicator of subclinical atherosclerosis. The relationship between sarcopenia and long-term clinical outcomes in patients with advanced coronary artery disease who have undergone coronary artery bypass grafting (CABG) is not fully understood. This study aimed to evaluate the prognostic implications of sarcopenia in patients undergoing CABG. Methods A total of 2,810 patients who underwent CABG were derived from the Samsung Medical Center institutional registry from 2007 to 2017 and classified according to the presence of sarcopenia. The skeletal muscle index (SMI) was calculated as L3 muscle area (cm2)/height (m)2 on computed tomography. Sarcopenia was defined as SMI ≤45 cm2/m2 in men and ≤38 cm2/m2 in women. The primary outcome was all-cause mortality during follow-up. Results The median follow-up was 8.7 years, and 924 patients (32.9%) had sarcopenia. Patients with sarcopenia were older and more frequently women. SMI was significantly correlated with age (R=-0.34, P&amp;lt;0.001), weight (R=-0.56, P&amp;lt;0.001), and body mass index (R=-0.52, P&amp;lt;0.001). SMI was significantly associated with risk of death on a restricted cubic spline curve (HR=1.04 per-1 decrease, 95% CI 1.03-1.05, P&amp;lt;0.001). Patients with sarcopenia had a higher incidence of long-term mortality than those without sarcopenia (survival rate 41.4% vs. 62.8%; adjusted HR=1.18, 95% CI 1.03-1.36, P=0.02). Subgroup analysis showed that the prognostic implication of sarcopenia on long-term survival was more evident in men (adjusted HR=2.01, 95% CI 1.72-2.35) than women (adjusted HR=1.28, 95% CI 0.98-1.68) (interaction P=0.006). Conclusions Sarcopenia, defined by SMI on computed tomography, was associated with long-term mortality after CABG. These results provide contemporary data to allow the evaluation of physical frailty in patients with advanced coronary artery disease before surgery.

Unfractionated heparin or low molecular weight heparin in patients with acute pulmonary embolism: a meta-analysis of randomized controlled trials

Abstract Introduction There is limited data on the use of unfractionated heparin (UFH) and low molecular weight heparin (LMWH) in patients admitted for acute pulmonary embolism (PE). Current ESC guidelines preferred LMWH over UFH based on extrapolated data. We aimed to compare UFH and LMWH in patients with acute PE using randomized controlled trials (RCTs). Methods A comprehensive literature search was performed from inception to 02/01/2024 of the PubMed database. Studies of adult patients comparing UFH to LMWH were evaluated for short-term (7-to-12 days) mortality, long-term mortality (90-days to 180-days), short-term (7-to-12 days) and long-term major bleeding (90-days to 180-days). Odds ratio (OR) with 95% confidence intervals (CI) were calculated using DerSimonian-Laird method. Results Of a total 2400 studies, nine RCTs with 1,996 subjects (1025 UFH and 971 LMWH) were included with mean age of 62.9 years and 48.5% males. There was no difference in short-term (OR= 0.89 [95% CI 0.44-1.82]; p=0.75; I2=0%; 6 trials) and long-term mortality (OR= 0.77 [95% CI 0.50-1.21]; p=0.26; I2=0%; 6 trials) with use of LMWH or UFH (Figure Panel A and B). Similarly, there was no difference in short-term (OR= 0.70 [95% CI 0.38-1.32]; p=0.27; I2=0%; 9 trials) and long-term major bleeding (OR= 0.92 [95% CI 0.53-1.60]; p=0.77; I2=0%; 6 trials) with use of LMWH or UFH (Figure Panel C and D). Overall, there was no evidence of publication bias using either funnel plot or eggers test (p &amp;gt; 0.05). Conclusions In this meta-analysis of 9 RCTs, there was similar efficacy and safety of UFH and LMWH in patients admitted for acute PE. However, future large-scale trials are needs to confirm these findings.