Elevated Risk Of Mortality Research Articles

Association of oxygen saturation and mortality in patients with acute respiratory failure.

The variability and disparities in the recommended targets across different international guidelines suggest the optimal oxygen saturation (SpO2) target for acute respiratory failure (ARF) patients be further explored. To explore the association between SpO2 and in-hospital mortality of ARF patients, as well as to determine the optimum SpO2 for ARF patients. In this cohort study, 3,225 ARF patients were included at the end of the follow-up; among them, and 1,249 patients survived and 1,976 died. The restricted cubic spline (RCS) was drawn to show the nonlinear association between the median SpO2 and the risk of in-hospital mortality of ARF patients and to identify the optimal range of SpO2. Cox regression was applied to identify the association between the median SpO2 and the risk of in-hospital mortality in ARF patients. Kaplan-Meier curves were plotted to identify the in-hospital mortality of ARF patients. The in-hospital mortality rate was 61.2% in all ARF patients at the end of the follow-up. The median SpO2 was associated with decreased risk of in-hospital mortality of ARF patients after adjusting for confounders (hazard ratio (HR) = 0.95, 95% confidence interval (95% CI): 0.93-0.97). The median SpO2 was non-linearly correlated with the in-hospital mortality of ARF patients. The overall survival (OS) was higher in the 96-98% group. A median SpO2 ≤ 96% was associated with an increased risk of in-hospital mortality in ARF patients accompanied by malignant cancer (HR = 1.55, 95% CI: 1.24-1.94), renal failure (HR = 1.45, 95% CI: 1.24-1.70), chronic obstructive pulmonary disease (COPD; HR = 1.70, 95% CI: 1.27-2.28) and atrial fibrillation (AF; HR = 1.25, 95% CI: 1.02-1.53). The median SpO2 > 98% was associated with an elevated risk of in-hospital mortality in ARF patients accompanied by AF (HR = 1.22, 95% CI: 1.04-1.44). The median SpO2 was linked to a decreased risk of in-hospital mortality in ARF patients.

Exploration and comparison of stress hyperglycemia-related indicators to predict clinical outcomes in patients with spontaneous intracerebral hemorrhage.

Spontaneous intracerebral hemorrhage (ICH) is a prevalent hemorrhagic stroke characterized by a significant fatality rate and severe neurological impairments. Stress hyperglycemia has been confirmed to have a significant prognostic role in a range of diseases. However, studies on the association between stress hyperglycemia and the outcome of ICH have not currently been reported. Critically ill patients diagnosed with ICH in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were included in our study. Logistic regression and Cox regression were used to analyze the correlation between stress hyperglycemia and the outcome of ICH. The predictive ability of different glucose metrics was demonstrated by the receiver-operating characteristic (ROC) curve and was further compared by the integrated discrimination improvement (IDI) index. A total of 880 ICH patients in the MIMIC-IV database were included in this study. In logistic regression and Cox regression, blood glucose level (BGL), glycemic gap (GG), and stress hyperglycemia ratio (SHR) were independent predictors of unfavorable outcomes in ICH after adjustment for other confounders. The IDI results indicated that the 5-day maximum stress hyperglycemia ratio had better predictive performance than glycemic gap and blood glucose level in-hospital mortality and 1-year mortality, and the predictive performance of the 5-day maximum stress hyperglycemia ratio was better than that of stress hyperglycemia ratio measured at admission. In the age-stratified subgroup analysis, the 5-day maximum stress hyperglycemia ratio was more sensitive in predicting long-term outcomes in the young subgroup than in the elderly subgroup. The 5-day maximum stress hyperglycemia ratio is strongly correlated with an elevated risk of mortality in ICH patients and displays a better predictive ability than glycemic gap and blood glucose level in the short/long-term prognosis of ICH.

Conditional cash transfers and mortality in people hospitalised with psychiatric disorders: A cohort study of the Brazilian Bolsa Família Programme.

Psychiatric patients experience lower life expectancy compared to the general population. Conditional cash transfer programmes (CCTPs) have shown promise in reducing mortality rates, but their impact on psychiatric patients has been unclear. This study tests the association between being a Brazilian Bolsa Família Programme (BFP) recipient and the risk of mortality among people previously hospitalised with any psychiatric disorders. This cohort study utilised Brazilian administrative datasets, linking social and health system data from the 100 Million Brazilian Cohort, a population-representative study. We followed individuals who applied for BFP following a single hospitalisation with a psychiatric disorder between 2008 and 2015. The outcome was mortality and specific causes, defined according to International Classification of Diseases 10th Revision (ICD-10). Cox proportional hazards models estimated the hazard ratio (HR) for overall mortality and competing risks models estimated the HR for specific causes of death, both associated with being a BFP recipient, adjusted for confounders, and weighted with a propensity score. We included 69,901 psychiatric patients aged between 10 and 120, with the majority being male (60.5%), and 26,556 (37.99%) received BFP following hospitalisation. BFP was associated with reduced overall mortality (HR 0.93, 95% CI 0.87,0.98, p 0.018) and mortality due to natural causes (HR 0.89, 95% CI 0.83, 0.96, p < 0.001). Reduction in suicide (HR 0.90, 95% CI 0.68, 1.21, p = 0.514) was observed, although it was not statistically significant. The BFP's effects on overall mortality were more pronounced in females and younger individuals. In addition, 4% of deaths could have been prevented if BFP had been present (population attributable risk (PAF) = 4%, 95% CI 0.06, 7.10). BFP appears to reduce mortality rates among psychiatric patients. While not designed to address elevated mortality risk in this population, this study highlights the potential for poverty alleviation programmes to mitigate mortality rates in one of the highest-risk population subgroups.

Addressing Unmet Precision Requirements through Improved Automatic Identification of Cerebral Microbleeds

AbstractBackgroundCerebral microbleeds (CMBs) hold significant clinical relevance, linked to elevated risks of hemorrhages, cognitive decline, and mortality. Notably, with the recent advancement in Alzheimer’s treatments, the number of CMBs serves as a crucial safety indicators to assess the risk and occurrence of amyloid‐related imaging abnormalities. However, the commonly utilized manual detection process is time‐consuming and labor‐intensive, prompting the development of various automated detection models. But, most of them are composed of a two‐track system for candidate retrieval and false positive (FP) reduction, resulting in low precision.MethodSusceptibility‐weighted images (SWI) were obtained from 250 participants enrolled in the Seoul National University dementia cohort, with 200 and 50 images allocated to the training and test set, respectively. CMBs were segmented manually based on expert radiologist assessments. Only 75 images in the training set and 29 images in the test set revealed the presence of CMBs. For our analysis, we employed 3D‐nnUNet, an segmantic segmentation model, training it through 5‐fold cross validation. The segmented regions were analyzed for CMB counting, focusing on morphological features. External validation was performed using 15 images from Wonju Severance Christian Hospital.ResultOur model exhibited a concurrent high true positive rate (TPR) of 81.4% and precision of 84.9%. This performance remained consistent across different severities of CMB occurrences, with the best perfomance observed in subjects with five or fewer CMBs (TPR of 92.7% and precision of 84.6%). Additionally, even among non‐CMB subjects, the model demonstrated strong perfomance, yielding an average of 0.23 FPs. External validation confirmed model robustness with a TPR of 86.4% and precision of 79.2% (Table 1). Classification of the severity groups regarding the number of CMBs (None, 1∼4, 5∼10, and &gt;10) revealed an overall accuracy of 87% in the non‐CMB and the test set (Figure 1).ConclusionThis study introduces a novel single‐channel automated CMB detection model using SWI. Our model successfully tackles a notable challenge found in previous automatic CMB counting models, balancing a high TPR with more reliable precision. It underscores its applicability for accurately stratifying CMB severities in clinical contexts, including eligibility assessment for anti‐beta amyloid antibody treatment in AD.

Prediction values of different lymph nodes staging systems for survival of children with Wilms tumor.

Wilms tumor is one of the most common pediatric kidney cancers with poor prognosis. This study aims to explore the predictive values of lymph nodes (LNs), positive lymph node density (LND) and log odds of positive lymph nodes (LODDS) for the 5-year mortality of children with Wilms tumor. The cohort study collected the data of 874 participants with Wilms tumor in the Surveillance, Epidemiology, and End Results (SEER) database. The univariate COX proportional risk model was used to explore the possible covariates. The univariate and multivariable COX proportional risk model were employed for exploring the correlations of LNs, LND, and LODDS with the 5-year mortality of Wilms tumor patients. The predictive values of LNs, LND, and LODDS for the 5-year mortality of children with Wilms tumor were evaluated via concordance and 95% confidence interval (CI). The follow-up time was 5 years, and 804 participants survived in the end. The results delineated that LND >0 [hazard ratio (HR) =1.92, 95% CI: 1.01-3.67] as well as LND ≥0.93 (HR =4.87, 95% CI: 2.42-9.81) were correlated with increased risk of 5-year mortality while LODDS ≥-0.34 (HR =4.09, 95% CI: 2.18-7.65) was linked with elevated risk of 5-year mortality. The concordance of LNs for predicting the 5-year mortality of Wilms tumor patients was 0.623 (95% CI: 0.566-0.681). The concordances of LND, and LODDS for predicting the 5-year mortality of Wilms tumor patients were 0.623 (95% CI: 0.566-0.681) and 0.616 (95% CI: 0.562-0.669). The predictive value of LODDS for the 5-year mortality of children with Wilms tumor was similar with LNs and LND. The findings might provide a new tool for helping the clinicians identify those with poor prognosis, and timely treatments should be offered to these patients.

Variability in Cardiometabolic Parameters and All-Cause and Cause-Specific Mortality in Older Adults: Evidence From 2 Prospective Cohorts.

The aim of this study is to assess the individual and joint associations of variability in multiple cardiometabolic parameters with mortality risk across older populations. A total of 51,551 Chinese elderly participants (aged ≥60 years) with ≥3 measurements of systolic blood pressure, visceral adiposity index, fasting blood glucose, and low-density lipoprotein cholesterol during 2018-2022 were included. Variability metrics included SD, coefficient of variation, average real variability, and variability independent of the mean (used in primary analysis). Participants were classified on the basis of the number of high-variability (highest quartile of variability) parameters into 4 categories: with 0, 1, 2, and 3-4 high-variability cardiometabolic parameters. Cox regression analyses were performed in 2024. Findings were then externally validated using the Health and Retirement Study (Waves 8-15). Higher systolic blood pressure, visceral adiposity index, fasting plasma glucose, and low-density lipoprotein cholesterol variability were associated with greater all-, cardiovascular-, and other-cause mortality risk. Compared with those of subjects with no high-variability parameters measured as the variability independent of the mean, the hazard ratios (95% CI) of all-cause mortality were 1.30 (1.16, 1.44) for 1 parameter, 1.86 (1.66, 2.09) for 2 parameters, and 2.02 (1.75, 2.32) for 3-4 parameters. Consistent results were noted for cardiovascular-, cancer-, and other-cause mortality using other variability indices and in various sensitivity and subgroup analyses. These associations were validated in the Health and Retirement Study (n=1,991). Increased variability in cardiometabolic parameters is associated with elevated risks of all-cause and cause-specific mortality among older adults in China. Reducing variability of these parameters could serve as a target to increase life expectancy in older populations.

Sex Disparities in In-Hospital Outcomes After Percutaneous Coronary Intervention (PCI) in Patients With Acute Myocardial Infarction and a History of Coronary Artery Bypass Grafting (CABG): A Cross-Sectional Study.

The role of sex disparities in in-hospital outcomes after percutaneous coronary intervention (PCI) for acute myocardial infarction (AMI) in patients with a history of coronary artery bypass grafting (CABG) remains underexplored. This study aimed to identify sex disparities in in-hospital outcomes after PCI in patients with AMI and a history of CABG. Using the National Inpatient Sample database, we identified patients hospitalized for AMI with a history of CABG who underwent PCI between 2016 and 2019. 1:1 propensity score matching was used to minimize standardized mean differences of baseline variables and compare in--hospital outcomes. In total, 75,185 weighted hospitalizations of patients were identified. Compared with male patients, female patients exhibited elevated risks of in-hospital mortality (3.72% vs. 2.85%; adjusted odds ratio [aOR] 1.48; 95% confidence interval [CI] 1.14-1.93), major adverse cardiac or cerebrovascular events (MACCEs) (4.96% vs. 3.75%; aOR 1.46; 95% CI 1.18-1.82), bleeding (4.91% vs. 3.01%; aOR 1.56; 95% CI 1.27-1.79), and longer length of stay (4.64 days vs. 3.96 days; β 0.42; 95% CI 0.28-0.55). After propensity matching, female patients remained associated with increased risks of in-hospital mortality (3.81% vs. 2.81%; aOR 1.37; 95% CI 1.06-1.78), MACCEs (5.08% vs. 3.84%; aOR 1.35; 95% CI 1.08-1.70), bleeding (5.03% vs. 3.11%; aOR 1.57; 95% CI 1.24-2.00), and longer length of stay (4.61 ± 4.76 days vs. 4.06 ± 4.10 days; β 0.39; 95% CI 0.18-0.59). Female patients aged > 60 years were more vulnerable to in-hospital mortality than were their male counterparts (3.06% vs. 4.15%; aOR 1.56; 95% CI 1.18-2.05). Female patients who underwent PCI for AMI with a history of CABG had higher risks of in-hospital mortality, MACCEs, bleeding, and longer length of stay, with in-hospital mortality rates being particularly pronounced among older patients.

Survival of People Living with HIV/AIDS from Pre-ART Era to Treat-all Era - China, 1985-2022.

A comprehensive analysis of nationwide survival trends for people living with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS, PLWHA) from the initial reported case to present has not been conducted. This study evaluated the survival outcomes of PLWHA reported in China from 1985 to 2022. We analyzed data from PLWHA recorded in the National HIV/AIDS Comprehensive Response Information Management System from 1985 to 2022. Survival rates were calculated using Kaplan-Meier curves, and factors associated with survival time were analyzed using Cox proportional hazard models. Progressive relaxation of antiretroviral therapy initiation criteria led to significant improvements in survival rates across different diagnostic periods in China. The 1-year and 5-year cumulative survival rates increased from 85.2% and 66.1% in the 1985-2003 cohort to 91.1% and 81.4% in the 2016-2022 cohort. Cox proportional hazard analysis revealed elevated mortality risks among males, individuals aged ≥65 years, those with injection drug use or other transmission routes, hospital-tested patients, and those with lower CD4 counts at diagnosis or without treatment. Antiretroviral therapy has effectively reduced mortality risk among PLWHA in China. Future efforts should focus on expanding HIV testing to reduce the proportion of late diagnoses with lower CD4 counts and providing targeted, differentiated services for older populations to further decrease mortality risk among PLWHA.

Associations between serum levels of liver function biomarkers and all-cause and cause-specific mortality: a prospective cohort study

BackgroundThe liver plays critical roles in human health. Circulating level of liver function biomarkers may associate with the long-term and short-term mortality in general population.MethodsWe used data from US National Health and Nutrition Examination Survey 1988–94 and 1999–2014. People aged ≥ 20 years with measured serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyltransferase (GGT), alkaline phosphatase (ALP), total bilirubin (TB), and albumin (ALB) at baseline were included. All-cause and cause-specific mortality was identified from the National Death Index through 31 December 2015. Additive Cox regression models were applied to assess the correlation patterns between the serum level of these analytes and mortality risk.ResultsA total of 44,508 participants were included; among them, 9,721 deaths occurred during a mean follow-up of 12.5 years. A “J-shaped” correlation was found between serum levels of ALT, AST, and TB and all-cause mortality. The risk of mortality monotonically increased with increasing GGT and ALP levels when their levels exceeded the valley points. A “L-shaped” correlation was found between the serum level of ALB and all-cause mortality. The correlation patterns were comparable among deaths from different causes and were consistent in subgroup and sensitivity analyses. While the integration of all six liver function biomarkers did not yield an optimal predictive performance for mortality (area under ROC curve = 0.706), it demonstrated a significantly better performance compared to any single biomarker..ConclusionCirculating liver function biomarkers showed diverse nonlinear correlations with mortality and may be utilized as part of a screening process to help identify individuals who may be at elevated risk of mortality.

Association of systemic immune-inflammation index with all-cause and cardio-cerebrovascular mortality in individuals with diabetic kidney disease: evidence from NHANES 1999-2018.

Emerging evidence suggests a potential role of immune response and inflammation in the pathogenesis of diabetic kidney disease (DKD). The systemic immune-inflammation index (SII) offers a comprehensive measure of inflammation; however, its relationship with the prognosis of DKD patients remains unclear. Using data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018, this cross-sectional study involved adults diagnosed with DKD. Cox proportional hazards models were utilized to assess the associations between SII and all-cause or cardio-cerebrovascular disease mortality. Additionally, restricted cubic spline, piecewise linear regression, and subgroup analyses were performed. Over a median follow-up duration of 6.16 years, 1338 all-cause deaths were recorded. After adjusting for covariates, elevated SII levels were significantly associated with increased risks of all-cause and cardio-cerebrovascular disease mortality. Specifically, per one-unit increment in natural log-transformed SII (lnSII), there was a 29% increased risk of all-cause mortality (P < 0.001) and a 23% increased risk of cardio-cerebrovascular disease mortality (P = 0.01) in the fully adjusted model. Similar results were observed when SII was analyzed as a categorical variable (quartiles). Moreover, nonlinear association was identified between SII and all-cause mortality (P < 0.001) through restricted cubic spline analysis, with threshold value of 5.82 for lnSII. The robustness of these findings was confirmed in subgroup analyses. Likewise, the statistically significant correlation between SII levels and cardio-cerebrovascular disease mortality persisted in individuals with DKD. Increased SII levels, whether examined as continuous variables or categorized, demonstrate a significant association with elevated risks of all-cause and cardio-cerebrovascular disease mortality among DKD patients. These findings imply that maintaining SII within an optimal range could be crucial in reducing mortality risk.

Miscarriage, stillbirth, and mortality risk from stroke in women: findings from the PLCO study.

Existing evidence suggests that miscarriage and stillbirth are associated with an increased risk of stroke in women. However, the impact of these events on stroke mortality remains unclear. This study aimed to elucidate the potential association between miscarriage and stillbirth and stroke mortality in women. We employed a competing risk model using data from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial to assess the relationship between miscarriage/stillbirth and stroke death. Death from other causes was considered as a competing risk, and we conducted a subgroup analysis to explore the potential impact. Our study included 68,629 women for miscarriage and 65,343 women for stillbirth. No significant association was observed between miscarriage and stroke mortality (hazard ratio [HR]=0.96; 95% confidence interval [CI], 0.84-1.10; p=0.58). While a single stillbirth did not show a significant association (HR=1.07; 95% CI, 0.81-1.41, p=0.63), recurrent stillbirth (≥2) was associated with a significantly increased risk of stroke mortality compared to women with no stillbirths (HR=2.24; 95% CI, 1.45-3.46, p<0.001). Our findings suggest that recurrent stillbirth, but not single events, is associated with an elevated risk of stroke mortality in women. Further research is warranted to clarify the underlying mechanisms and potential long-term health implications of recurrent pregnancy loss.

Prehospital blood pressure lowering in patients with ischemic stroke: A systematic review and meta-analysis of randomized controlled trials.

Whether prehospital blood pressure control improves outcomes among patients with acute ischemic stroke is uncertain. This systematic review and meta-analysis aimed to evaluate the effect of prehospital blood pressure reduction treatment in patients with ischemic stroke. We searched PubMed, Embase, and the Cochrane Central Register of Controlled Trials for randomized controlled trials that compared prehospital blood pressure reduction treatment with usual treatment or no treatment in patients with stroke. The primary outcome was functional outcome, assessed with the distribution of modified Rankin Scale (mRS) at 90 days, while secondary outcome was mortality at 90 days. Of 428 studies reviewed, three were appropriate for analysis, totaling 3878 patients. In patients with ischemic stroke, prehospital blood pressure reduction treatment was associated with higher mRS scores at 90 days (common odds ratio (OR) for worse mRS, OR: 1.27, 95% confidence interval (CI): 1.08-1.49) and increased risk of mortality at 90 days (OR: 1.28, 95% CI: 1.02-1.61) compared with the usual treatment. In patients with ischemic stroke, prehospital blood pressure reduction treatment was associated with a higher likelihood of poor functional outcome and an elevated risk of mortality.

Association Between Anaesthesiologists' Sex and Anaesthesiology Quality Metrics and Postoperative Outcomes: A Retrospective Analysis.

Background: Evidence suggests differences in medical practice and patient outcomes between male and female physicians and surgeons. To date, no such relationships were investigated in anaesthesiologists. This study aimed to investigate an association between anaesthesiologists' sex and anaesthesia quality metrics as well as outcomes. Methods: We performed a population-based, single-centre, retrospective cohort study. Data were gathered from all patients undergoing anaesthesia between 1 January 2014 and 31 March 2022 at a large tertiary centre in Vienna, Austria. We examined 30-day mortality in relation to the sex of the anaesthesiologist after adjusting for various patient, physician, and hospital factors. Additionally, we assessed anaesthesiologists' sex and several anaesthesia quality benchmarks. Results: The final dataset included 94,254 cases. The study showed a very small but statistically significant correlation between male anaesthesia providers and an elevated risk for all-cause mortality within 30 days (adjusted odds ratio [aOR]: 1.0026; 95% confidence interval [CI], 1.0003-1.0048). Both male and female anaesthesiologists demonstrated similar proficiency in managing hemodynamic stability, blood glucose levels, preventing postoperative acute kidney injury (AKI) and lung-protective ventilation. However, male anaesthesiologists showed slightly higher adherence to guidelines for PONV prophylaxis. Conclusions: In a dataset of nearly 95,000 cases, there was a clinically marginal but statistically significant association between male provider sex and 30-day mortality.

TCKAN: a novel integrated network model for predicting mortality risk in sepsis patients.

Sepsis poses a major global health threat, accounting for millions of deaths annually and significant economic costs. Accurately predicting the risk of mortality in sepsis patients enables early identification, promotes the efficient allocation of medical resources, and facilitates timely interventions, thereby improving patient outcomes. Current methods typically utilize only one type of data-either constant, temporal, or ICD codes. This study introduces a novel approach, the Time-Constant Kolmogorov-Arnold Network (TCKAN), which uniquely integrates temporal data, constant data, and ICD codes within a single predictive model. Unlike existing methods that typically rely on one type of data, TCKAN leverages a multi-modal data integration strategy, resulting in superior predictive accuracy and robustness in identifying high-risk sepsis patients. Validated against the MIMIC-III and MIMIC-IV datasets, TCKAN surpasses existing machine learning and deep learning methods in accuracy, sensitivity, and specificity. Notably, TCKAN achieved AUCs of 87.76% and 88.07%, demonstrating superior capability in identifying high-risk patients. Additionally, TCKAN effectively combats the prevalent issue of data imbalance in clinical settings, improving the detection of patients at elevated risk of mortality and facilitating timely interventions. These results confirm the model's effectiveness and its potential to transform patient management and treatment optimization in clinical practice. Although the TCKAN model has already incorporated temporal, constant, and ICD code data, future research could include more diverse medical data types, such as imaging and laboratory test results, to achieve a more comprehensive data integration and further improve predictive accuracy.

Diagnostic profiles among suicide decedents with and without borderline personality disorder.

Borderline personality disorder (BPD) is a debilitating condition characterized by pervasive instability across multiple major domains of functioning. The majority of persons with BPD engage in self-injury and up to 10% die by suicide - rendering persons with this condition at exceptionally elevated risk of comorbidity and premature mortality. Better characterization of clinical risk factors among persons with BPD who die by suicide is urgently needed. We examined patterns of medical and psychiatric diagnoses (1580 to 1700 Phecodes) among persons with BPD who died by suicide (n = 379) via a large suicide death data resource and biobank. In phenotype-based phenome-wide association tests, we compared these individuals to three other groups: (1) persons who died by suicide without a history of BPD (n = 9468), (2) persons still living with a history of BPD diagnosis (n = 280), and (3) persons who died by suicide with a different personality disorder (other PD n = 589). Multivariable logistic regression models revealed that persons with BPD who died by suicide were more likely to present with co-occurring psychiatric diagnoses, and have a documented history of self-harm in the medical system prior to death, relative to suicides without BPD. Posttraumatic stress disorder was more elevated among those with BPD who died by suicide relative to the other PD group. We found significant differences among persons with BPD who died by suicide and all other comparison groups. Such differences may be clinically informative for identifying high-risk subtypes and providing targeted intervention approaches.

Performance of the comprehensive nutrition screening index in predicting mortality after cardiac surgery

Malnutrition is a significant risk factor for postoperative outcomes in patients undergoing cardiac surgery. The Seoul National University Hospital-Nutrition Screening Index (SNUH-NSI) is an automated screening tool designed to comprehensively assess malnutrition risk. However, its predictive value in patients undergoing cardiac surgery remains unvalidated. This study included adult patients who underwent cardiac surgery at a tertiary teaching hospital between May 2008 and December 2019. Patients were classified as low-, intermediate-, or high-risk for malnutrition based on the SNUH-NSI. The association between malnutrition risk and postoperative cumulative all-cause mortality was evaluated using multivariable Cox regression analysis. The predictive ability of the SNUH-NSI was compared with conventional nutritional indices. Compared to the low-risk group, both the high-risk (adjusted hazard ratio [HR], 2.64; 95% confidence interval [CI], 2.19–3.19; P < 0.001) and intermediate-risk groups (adjusted HR, 1.54; 95% CI, 1.31–1.82; P < 0.001) demonstrated a significantly elevated risk of cumulative all-cause mortality. The multivariable model incorporating SNUH-NSI demonstrated moderate but superior predictive performance compared to that of other conventional nutritional indices. Preoperative malnutrition assessed by the SNUH-NSI was found to be a significant predictor of mortality following cardiac surgery. Implementing the SNUH-NSI for automated preoperative malnutrition screening could be an efficient and cost-effective approach.

Higher Mortality Risk From Ovarian Carcinomas, Small Bowel Neoplasms, and B-Cell and Mucosa-Associated Lymphoid Tissue Lymphomas in Sjögren Syndrome Patients.

To evaluate the impact of the different types of neoplasms and lineages on Sjögren syndrome (SjS) patient mortality. Medical records review study based on the Spanish Hospital Discharge Database and the International Classification of Diseases, Tenth Revision, Clinical Modification coding list. The neoplasm-related deaths in SjS patients with the general population during the period 2016-2019 were compared. A binary logistic regression analysis considering age, sex, tobacco use, and alcohol use was performed to determine the impact of SjS on the risk of dying from each neoplasm group and lineage. In the period studied, 705,557 in-hospital deaths were certified in Spain, 139,531 (19.8%) from neoplasms. Neoplasms surpassed SjS activity as a cause of mortality in primary SjS patients (11.3% vs. 1.6%, p < 0.001). SjS patients presented higher mortality rates from small bowel carcinoma (0.3% vs. 1.8%; odds ratio [OR], 5.41; 95% confidence interval [CI], 1.33-22) and gynecological neoplasms (6.4% vs. 3%; OR, 2.13; 95% CI, 1.01-4.58), related to ovarian carcinomas (4.6% vs. 1.3%; OR, 3.65; 95% CI, 1.48-8.97), than the general population. Hematological neoplasm-related deaths were more prevalent in SjS patients than in the non-SjS population (18.3% vs. 8.9%; OR, 2.04; 95% CI, 1.25-3.31), mostly attributable to the higher proportion of deaths from B-cell non-Hodgkin lymphoma (8.3% vs. 2.5%; OR, 3.04; 95% CI, 1.54-6.03) and mucosa-associated lymphoid tissue lymphoma (1.8% vs. 0.1%; OR, 70.17; 95% CI, 16.61-296.36). SjS patients face an elevated risk of mortality from small bowel neoplasms, ovarian carcinomas, and B-cell and mucosa-associated lymphoid tissue lymphoma compared with the general Spanish population. Apart from developing approaches to mitigate their occurrence, it is crucial to explore thoroughly and consider the implementation of targeted early-detection programs for these specific conditions.

Abstract 4135338: Associations between plant-based diets and total mortality among Chinese older participants with cardiometabolic diseases: a prospective cohort study

Background and Aims: Plant-based diets have been associated with a lower risk of total mortality among generally health populations. However, the associations of plant-based diets with total mortality remain unclear among older people with cardiometabolic diseases, who have an elevated risk of mortality. Methods: We prospectively followed 4,485 participants (mean age: 84 years) from the China Prospective Longitudinal Survey of Health and Longevity (2006-2018), who had cardiometabolic disease in 2006. Dietary data were collected at baseline using a food-frequency questionnaire. Using these data, we created an overall plant-based diet index (PDI), in which plant-based foods received positive scores while animal foods (meat, fish and aquatic products, eggs, milk, animal fats) received reversed scores accordingly. We also created a healthful plant-based diet index (hPDI), where healthy plant-based foods (whole grains, vegetables, vegetable oils, fresh fruits, legumes, beans, garlic, nuts, tea) received positive scores, while less healthy plant-based foods (refined grains, pickles, sugar, preserved vegetables) and animal-based foods were given reversed scores. In addition, an unhealthful plant-based diet index (uPDI) was created by assigning positive scores to less healthy plant-based foods while reverse scores to healthy plant-based foods and animal-based foods. We used Cox proportional hazards regression to compute hazard ratios (HRs) and 95% CIs for total mortality, with adjustment for demographics, dietary and lifestyle factors, and medical history. Results: During a 12 years of follow-up, 2,881 deaths were recorded. A higher score from PDI and hPDI was associated with a lower risk total mortality among participants with cardiometabolic diseases (HR and 95% CI for extreme quintiles of PDIs: 0.85, 95% CI 0.75–0.96, P trend &lt; 0.001; hPDI: 0.84 (0.74–0.94), P trend &lt; 0.001). A higher uPDI score was associated with a higher total mortality among participants with cardiometabolic diseases (uPDI: 1.28 (1.13-1.47), P trend &lt; 0.001). These results were consistent in subgroup analyses by age, sex, smoking status, alcohol consumption, education level, physical activity, and BMI. Conclusion: Our study suggests that among older Chinese participants with cardiometabolic diseases, adherence to an overall plant-based diet or a healthful plant-based diet, is associated with a lower total mortality, while an unhealthful plant-based diet was associated with a higher total mortality.

Abstract 4124875: Association between Elevated Lipoprotein(a) and Cardiovascular Events and Mortality in a Nationally Representative Sample of US Medicare, Medicaid, and Commercial Enrollees with ASCVD

Background: Elevated lipoprotein(a) [Lp(a)] is an independent and causal risk driver for atherosclerotic cardiovascular disease (ASCVD). Few patients with ASCVD receive Lp(a) screening and real-world data assessing the association between elevated Lp(a) and risk of cardiovascular (CV) events and mortality is limited. Objectives: To examine the association of elevated Lp(a) and risk of CV events and death in an ASCVD population using large US health claims databases. Methods: Patients with ASCVD were pooled from US Medicare, commercial, and Medicaid health plans from 2017 to 2022. Lp(a) levels were linked at the patient level from HealthVerity Lab Data and categorized as: &lt;30 mg/dL (&lt;75 nmol/L), ≥30-&lt;50 mg/dL ( &gt; 75-&lt;125 nmol/L), ≥50-&lt;70 mg/dL ( &gt; 125-&lt;175 nmol/L), ≥70-&lt;90 mg/dL (≥175-&lt;225 nmol/L) and ≥90 mg/dL (≥225 nmol/L). Patients were followed from the 1 st ASCVD diagnosis (index) to insurance plan disenrollment, death, or end of study. Cox regression, adjusted for age, sex, race, insurance, comorbidities, LDL-C, and other risk factors, measured the association between Lp(a) levels and risk of CV events and death. Results: Of 28.8 million ASCVD patients, 180,240 (0.6%) had Lp(a) levels: mean(±SD) age 68.6±1 years, 50.1% male, 5.9% Black, 2.8% Hispanic, 2.1% Asian, 72.8% Medicare, 21.8% commercial, and 5.4% Medicaid. Mean follow-up was 3.7 years; 23.3% and 15.7% had Lp(a) ≥50mg/dL [≥125 nmol/L] and ≥70 mg/dL (≥175 nmol/L), respectively. Black patients had highest median Lp(a) (50 mg/dL/111 nmol/L), followed by Asian (13.5 mg/dL/35.5 nmol/L), White (13 mg/dL/32 nmol/L), and Hispanic (11.5 mg/dL/29 nmol/L) patients. Lp(a) levels of ≥30-&lt;50 mg/dL, ≥50-&lt;70 mg/dL, ≥70-&lt;90 mg/dL, and ≥90 mg/dL were associated with 7%, 10%, 16%, and 26% greater risks of CV events vs. &lt;30 mg/dL (p-values &lt;0.0001; cumulative incidence reported in Figure 1). All-cause mortality risk was also greater for those with Lp(a) ≥90 mg/dL vs. &lt;30 mg/dL: hazard ratio (HR)=1.11, p=0.003. Similar trends persisted for patients with LDL-C ≤70 mg/dL. Conclusion: In this national-scale real-world cohort of patients with ASCVD, Lp(a) testing is infrequent and elevated Lp(a) levels were significantly associated with a greater risk of CV events and mortality.

Abstract 4134687: Takotsubo Cardiomyopathy Complicating Stroke

Background: There have been studies suggesting Takotsubo cardiomyopathy (TCM) as a potential complication following cerebrovascular accident (CVA), but the association, contributing factors, and prognosis significance have not been well-characterized. Aims: 1) To assess the incidence, factors and prognosis associated with TCM-complicated CVA, and 2) to determine the 30-day unplanned readmission rates for TCM after discharge for CVA and the associated factors. Methods: The U.S. Nationwide Readmission Database was queried using ICD-codes to gather information on discharges with primary diagnosis of CVA between January 2010 and November 2020. Incidence and factors associated with TCM-complicated CVA and 30-day readmissions with primary diagnosis of TCM were assessed. Results: Of 3,696,202 patients hospitalized with primary diagnosis of CVA, 5,526 (0.15%) individuals developed TCM during the admission. Patients with TCM were more likely to be women (80% vs. 52%, P&lt;0.001), present with hemorrhagic (as opposed to ischemic stroke, P&lt;0.001), and have a higher comorbidity burden, adverse events, and longer hospital stay. Mortality rate was significantly higher among those with TCM vs no-TCM (20% vs. 6.4%, P&lt;0.001). Of 3,690,676 patients who were discharged without experiencing TCM during index admission for CVA, 255,947 (6.9%) patients had unplanned readmissions within 30 days of discharge, and 250 (0.1%) of these were with a primary diagnosis of TCM. These individuals with TCM were more likely to be women (78% vs. 51%, P&lt;0.001), had a higher comorbidity burden, and experienced higher mortality rate during readmission compared to those without TCM (12% vs. 5.7%, P=0.009). Conclusions: Although rare, a TCM-complicated CVA can be highly fatal. Female sex, presentation with hemorrhagic stroke and pre-existing health conditions were strong factors associated with TCM-complicated CVA. Readmission for TCM after discharge for CVA is also uncommon but carries a significantly elevated risk of mortality. Our study presents an opportunity to improve processes and clinical outcomes by monitoring and recognizing TCM post-CVA, both during and after hospitalization.