Heightened Mortality Risk Research Articles

Impact of Baseline Hypoalbuminemia on Long-Term Survival Following Acute Myocardial Infarction According to Body Mass Index

Serum albumin and body mass index (BMI, kg/m2) have been associated with outcomes following acute myocardial infarction (AMI). Aiming to assess whether the mortality risk inflicted by hypoalbuminemia (<3.5 g/dL) in this context is influenced by BMI, we conducted a retrospective analysis of AMI survivors hospitalized during 2004–2017. Stratified by admission-time albumin level and BMI, eligible cases were evaluated for all-cause mortality up to 10 years after discharge. A total of 6283 individuals (74.1% males, mean age 64.1 ± 13.1 years, 44.3% with ST-elevation MI) were included. Of them, 22.7% had hypoalbuminemia and 1.2%, 41.0%, and 28.6% were underweight (BMI < 18.5), overweight (BMI 25–30), and obese (BMI ≥ 30), respectively. Over a median of 7.9 (IQR, 4.8–10.0) years of follow-up, 42.5% of patients died. Hypoalbuminemia was independently associated with a heightened mortality risk overall (AdjHR = 1.54, 95%CI 1.42–1.67, p < 0.001), accounted for by the normal weight (AdjHR = 1.73, 95%CI 1.50–1.99, p < 0.001), overweight (AdjHR = 1.55, 95%CI 1.35–1.79, p < 0.001), and class 1 obesity (BMI 30–35) (AdjHR = 1.37, 95%CI 1.12–1.68, p = 0.002) subgroups. Upon interaction analysis, the mortality risk imposed by hypoalbuminemia was most pronounced among individuals with normal BMI. In conclusion, hypoalbuminemia constituted a negative prognostic marker for long-term survival in AMI patients with normal or mildly elevated but not reduced or severely increased BMI. Pending further research, addressing hypoalbuminemia based on BMI range may prove beneficial.

Sleep Apnea Detection Model Using Time Window and One-Dimensional Convolutional Neural Network on Single-Lead Electrocardiogram

Sleep apnea is an important disorder that involves frequent disruptions in breathing during sleep, which can result in numerous serious health issues, such as cognitive deterioration, cardiovascular illness, and heightened mortality risk. This study introduces a detailed model designed for the detection of sleep apnea using single-lead electrocardiogram signals, providing an accurate detection method. We can use single-lead ECG signals to get ECG-Derived Respiration (EDR). EDR combines important respiratory signals with RR intervals to help find sleep apnea more accurately. We structure the research process into seven systematic stages, ensuring a comprehensive approach to the issue. The process commences with the acquisition of data from the "Apnea-ECG Database" accessible on the PhysioNet platform, which underpins the ensuing analysis. Subsequent to data collection, we execute a sequence of preprocessing procedures, including segmentation, filtering, and R-peak detection, to enhance the ECG data for analysis. After that, we do feature extraction, which gives us 12 unique features from the RR interval and 6 features from the R-peak amplitude, which are both necessary for the model to work. The research subsequently utilizes feature engineering, implementing a Time Window methodology to encapsulate the temporal dynamics of the data. To ensure the results are robust, we conduct model evaluation using stratified K-fold cross-validation with five folds. The modeling technique employs a 1D Convolutional Neural Network (1D-CNN) utilizing the Adam optimizer. Ultimately, the performance assessment shows an accuracy score reaching 89.87%, sensitivity at 86.16%, specificity at 92.30%, and an AUC score of 0.96, attained with a Time Window size of 15. This model signifies a substantial improvement in performance relative to previous studies and serves as a feasible option for the detection of sleep apnea

Pregnant Woman in Outcomes with Prosthetic Heart Valves.

The retrospective cohort study covered January 2011 to December 2022. The objective of the study was to assess the risk factors and frequency of thrombotic and hemorrhagic complications during pregnancy, delivery, and the postpartum period in women with PHV based on the experience of one perinatal center. We included 88 pregnancies with 77 prosthetic heart valves (PHV), which were divided into two groups, mechanical valve prostheses (MVP) (n = 64) and biological valve prosthesis (BVP) (n = 24). In the study we analyzed pregnancy outcomes, as well as thrombotic and hemorrhagic complication frequencies. Of 88 pregnancies, 79 resulted in live births. In the MVP group, there were six miscarriages (9.4%) and two medical abortions (3.1%), including one due to Warfarin's teratogenic effects. No miscarriages were reported in the BVP group, but one fetal mortality case (4.2%) occurred. During pregnancy, 11 MVP cases (17.2%) experienced thrombotic complications. In the BVP group, one patient (4.2%) had transient ischemic attack (TIA). Two MVP cases required surgical valve repair during pregnancy, and one in the post-delivery stage was caused by thrombotic complications. Postpartum, two MVP cases had strokes, and in one MVP patient, pulmonary embolism was registered, while no thrombotic complications occurred in the BVP group. Hemorrhagic complications affected 15 MVP cases (17.9%) in the postpartum period. There were no registered cases of maternal mortality. The effective control of anti-factor Xa activity reduced thrombotic events. However, the persistently high incidence of postpartum hemorrhagic complications suggests a need to reassess anticoagulant therapy regimens, lower target levels of anti-Xa, and reduce INR levels for discontinuing heparin bridge therapy. Despite the heightened mortality risk in MVP patients, our study cohort did not have any mortality cases, which contrasts with findings from other registries.

Early life adversity has sex-dependent effects on survival across the lifespan in rhesus macaques.

Exposure to early life adversity is linked to detrimental fitness outcomes across taxa. Owing to the challenges of collecting longitudinal data, direct evidence for long-term fitness effects of early life adversity from long-lived species remains relatively scarce. Here, we test the effects of early life adversity on male and female longevity in a free-ranging population of rhesus macaques (Macaca mulatta) on Cayo Santiago, Puerto Rico. We leveraged six decades of data to quantify the relative importance of 10 forms of early life adversity for 6599 macaques. Individuals that experienced more early life adversity died earlier than those that experienced less adversity. Mortality risk was highest during early life, defined as birth to 4 years old, but heightened mortality risk was also present in macaques that survived to adulthood. Females and males were affected differently by some forms of adversity, and these differences might be driven by varying energetic demands and dispersal patterns. Our results show that the fitness consequences of early life adversity are not uniform across individuals but vary as a function of the type of adversity, timing and social context, and thus contribute to our limited but growing understanding of the evolution of early life sensitivities.This article is part of the discussion meeting issue 'Understanding age and society using natural populations'.

Variation of All-Cause Mortality with Fat-Free Mass Index (FFMI) and Fat Mass Index (FMI) in Individuals with Asthma: Results from the NHANES Database Retrospective Cohort Study

BackgroundThe relationship between fat-free mass index (FFMI), fat mass index (FMI), and mortality in patients with asthma remains unknown. This study aimed to examine the associations between FFMI and FMI and all-cause mortality in a cohort of American adults diagnosed with asthma.MethodsThis study included 15,200 adults from NHANES. To assess mortality, we linked participant records to the National Death Index. FMI and FFMI were measured and evaluated using dual-energy X-ray absorptiometry (DXA). Survival differences across quintiles of FFMI and FMI were explored using Kaplan-Meier plots and log-rank tests, with the proportional hazards assumption assessed using Schoenfeld residuals. Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) for mortality associated with FFMI and FMI, adjusting for potential confounders including age, sex, smoking status, physical activity, and other relevant factors. Additionally, stratified analyses based on theoretical considerations were conducted to identify subgroups of individuals exhibiting an elevated risk of mortality. This study also examined the nonlinear relationships between FFMI, FMI, and mortality using restricted cubic splines (RCS).ResultsAfter a median follow-up of 184 months, 12.11% of individuals had died. Kaplan-Meier plots revealed significant differences in all-cause mortality among patients with asthma across the FFMI and FMI quintiles. Specifically, individuals in the lowest FFMI quintile (Q1, 10.4–16.0, representing the range of FFMI values) exhibited a significantly increased risk of all-cause mortality (HR: 4.63; 95% CI: 1.59, 13.5; p < 0.01). Similarly, elevated risks of all-cause mortality were observed in the upper three quintiles of FMI, with Q3 (4.8–6.1) having an HR of 2.9 (95% CI: 1.20, 7.00; p < 0.05), Q4 (6.2–8.3) having an HR of 3.37 (95% CI: 1.41, 8.03; p < 0.01), and Q5 (8.4–22.8) having an HR of 4.6 (95% CI: 1.31, 16.2; p < 0.05). Moreover, the risk of all-cause mortality increased with increasing FMI and decreasing FFMI (p for non-linearity < 0.001 in both cases). Subgroup analyses further elucidated these associations across different categories. In examining the association between FMI and all-cause mortality among asthma patients across various subgroups, a heightened mortality risk found among males, individuals with medium education levels, medium income levels, and those who consume alcohol.ConclusionsThe study shows that both high FMI and low FFMI are associated with increased mortality in patients with asthma. These findings underscore the critical role of FMI and FFMI in the health management of asthma patients. Therefore, it is recommended that clinicians proactively monitor and adjust these indices to improve patient prognosis and enhance health outcomes for individuals with asthma..

Comparing One-Year Survival in Anterior Versus Inferior ST-Elevation Myocardial Infarction Patients: Results of a Cohort Study in Western Iran

Background: The site of acute myocardial infarction (MI) plays a pivotal role in determining the prognosis and risk assessment for patients experiencing their first ST-segment elevation MI (STEMI). Objectives: This study aims to compare one-year survival rates in patients with anterior versus inferior ST-elevation myocardial infarction. Methods: This registry-based cohort study was conducted from July 2018 to December 2019, examining data from STEMI patients. A total of 643 patients diagnosed with STEMI who met the inclusion criteria were enrolled. Patients were categorized based on the location of their myocardial infarction (MI) into two groups: Those with anterior MI and those with inferior MI. Their progress was meticulously followed over the course of one year. For data analysis, Cox proportional hazards models were used to calculate two sets of hazard ratio estimates: The initial unadjusted (crude) hazard ratios and the fully adjusted hazard ratios, which accounted for potential confounding factors. Along with these hazard ratio estimates, their corresponding 95% confidence intervals (HR, 95% CI) were obtained. All statistical analyses were performed using R software version 4.2.1. Results: Throughout the follow-up period, totaling 598 patients and 4,109 person-days, only 7 patients (1.09%) were lost to follow-up. The analysis revealed no significant difference in one-year mortality rates between the inferior and anterior STEMI groups, with rates of 37 (8.39%) versus 15 (7.69%), respectively, yielding a P-value of 0.767. However, it is noteworthy that the mortality risk trended higher in the inferior MI group, with a hazard ratio of 1.093 (95% CI: 0.60 - 1.99). Conclusions: In conclusion, our study highlights the heightened mortality risk associated with inferior wall MI. These results underscore the prognostic value of MI location, shedding light on its potential role in predicting the severity and extent of infarction, thereby guiding clinical decision-making and risk management strategies in STEMI patients.

Impact of the radiotherapy rhythm on prognosis in nasopharyngeal carcinoma

Objective The role of chronoradiobiology in nasopharyngeal carcinoma (NPC) has not been fully elucidated. We sought to investigate the impact of radiotherapy rhythm on the survival outcomes of individuals to explore a chronomodulated radiation strategy to improve prognosis of NPC. Methods A cohort comprising non-metastatic NPC patients subjected to intensity-modulated radiotherapy at Fujian Cancer Hospital between Jan. 2016 and Dec. 2019 was assembled. Rhythmic fluctuation of radiotherapy (RFRT) was quantified based on the temporal distribution of radiation delivery. Cox proportional hazard model was performed to explore the impact of radiotherapy rhythm on all-cause mortality. The maximally selected rank statistics method was employed to discern an optimal cutoff. Sensitivity analyses were conducted to ensure the robustness of observed associations. Results Our analysis encompassed 2245 patients, with a median follow-up duration of 55 months, during which 315 individuals succumbed. Multivariate Cox regression analysis unveiled a significant correlation between prolonged RFRT and heightened mortality risk in NPC patients (HR, 1.17, 95% CI, 1.07-1.27, p < .001), a relationship robust to comprehensive adjustment for confounding variables. A cutoff value of 3 h was selected for potential clinical application, beyond which patients exhibited markedly poorer survival outcomes. Subgroup analyses consistently underscored the directional consistency of observed effects. Conclusion Our study sheds light on the potential advantages of scheduling radiotherapy sessions at consistent times. These findings have implications for optimizing radiotherapy schedules and warrant further investigation into personalized chronotherapy approaches in NPC management.

Early Identification of Skin Cancer Using Region Growing Technique and a Deep Learning Algorithm

Skin cancer, comprising both melanoma and non-melanoma forms, is a significant public health concern, constituting approximately 5.9% to 7.8% of annual cancer diagnoses. In Indonesia, the predominant form of the disease is basal cell carcinoma (65.5%), followed by squamous cell carcinoma (23%), and malignant melanoma (7.9%). Several studies have shown that early detection of its melanoma form is essential due to the heightened mortality risk. Therefore, this study aimed to assess the efficacy of the Region Growing + LSTM algorithm in improving detection accuracy compared to LSTM. The novelty of the study lay in addressing the inefficiencies of manual dermoscopy image examination and introducing a novel combination of Region Growing segmentation and Deep Learning LSTM for enhanced detection precision. The results showed that the proposed model could identify segmented areas before classification and achieved 96.62% accuracy, outperforming LSTM's 84%. However, LSTM exhibited shorter training and prediction times (39.3 seconds and 3.2 seconds, respectively) compared to Region Growing + LSTM (17 minutes and 2 seconds for training, 3 minutes and 49 seconds for prediction). Although Region Growing + LSTM offered superior accuracy, it required more time than LSTM, showing potential trade-offs between accuracy and efficiency in skin cancer image detection. Doi: 10.28991/HIJ-2024-05-03-07 Full Text: PDF

Heightened mortality risk after a non-fatal opioid overdose: Risk factors for mortality in the week following emergency treatment.

To measure all-cause mortality risk after an ambulance-attended non-fatal opioid overdose and associations with number of days following attendance, and individual and clinical characteristics. A prospective observational study. Oslo, Norway. Patients treated with naloxone for opioid overdose by Oslo Emergency Services between 1 June 2014 and 31 December 2018. Medical records were linked to the national Cause of Death Registry (1 June 2014-31 December 2019). Crude mortality rates (CMR) and incidence risk ratios (IRR) with 95% confidence intervals (CI) were estimated for the time periods (0-7days, 8-31 days, 32-91 days, 92-183 days, >183 days) using multivariate Poisson regression analysis. IRR were estimated for sex, age, Glasgow Coma Scale (GCS), respiration rate, place of attendance and non-transportation following treatment. Robust variance estimates applied due to multiple risk periods. Standardized Mortality Rates (SMR) were estimated. Overall, 890 patients treated for 1764 overdoses contributed to a total time at risk of 3142 person-years (PY). Median number of attendances was 1 (range 1-27). The majority were male (75.5%) and the mean age was 37.7 years. In total, 112 (12.6%) died; 5.2% within 183 days and 2.2% between 184 and 365 days. Acute poisoning was the most common single cause of death (52.7%). The CMR was 3.6 (95% CI = 3.0-4.2) per 100-PY. The women had a SMR of 32 (95% CI = 15.8-57.9) and the men 24.9 (95% CI = 17.7-34.2). The CMR (22.2, 95% CI = 10.6-46.8) was particularly high in the first 7days, and significantly higher than in the following periods. However, this finding was only valid for those with severe overdose symptoms (GCS score = 3/15 and/or respiratory rate ≤6/min). Except for increasing age, no other indicators were associated with the mortality risk. Patients treated by Oslo Emergency Services between June 2014 and December 2018 for a non-fatal opioid overdose with severe overdose symptoms at attendance had an overall high mortality risk compared with the general population, but particularly during the first 7 days after attendance.

A Mild Increase in Serum Creatinine after Surgery Is Associated with Increased Mortality.

Background: Acute kidney injury (AKI), a prevalent postoperative complication, predominantly manifests as stage 1, characterized by a mild elevation in serum creatinine (SCr). There is yet to be a consensus regarding the association between stage 1 AKI and adverse outcomes in surgical patients. Methods: This retrospective study enrolled adult patients who underwent at least one surgery during hospitalization from the MIMIC IV database. AKI was diagnosed when the KDIGO creatinine criteria were satisfied within 7 days after surgery. Stage 1a AKI was defined as an absolute increase in SCr of 26.5 μmol/L, and stage 1b was defined as a 50% relative increase. Stage 1 AKI was also divided into transient and persistent substages based on whether the AKI recovered within 48 h after onset. The association between stage 1 AKI and its substages and in-hospital mortality was evaluated. Results: Among 49,928 patients enrolled, 9755 (19.5%) developed AKI within 7 days after surgery, of which 7659 (78.5%) presented with stage 1 AKI. The median follow-up was 369 (367, 372) days. Stage 1 AKI was significantly associated with in-hospital mortality after adjustment (aHR, 2.73; 95% CI, 2.29, 3.26). Subgroup analyses showed that the risk of stage 1 AKI on in-hospital mortality was attenuated by age ≥ 65 years (p for interaction = 0.017) or a baseline eGFR < 60 mL/min per 1.73 m2 (p for interaction = 0.001). Compared with non-AKI, patients with stage 1b (aHR, 3.06; 95% CI, 2.56, 3.66) and persistent stage 1 (aHR, 2.03; 95% CI, 1.61, 2.57) AKI had an increased risk of in-hospital mortality; however, this risk was not significant in those with stage 1a (aHR, 1.01; 95% CI, 0.68, 1.51) and transient stage 1 (aHR, 1.11; 95% CI, 0.79, 1.57) AKI. Conclusions: Stage 1 AKI exhibits an independent correlation with a heightened mortality risk among surgical patients. Consequently, a tailored adaptation of the KDIGO AKI classification may be necessitated for the surgical population, particularly those presenting with decreased baseline kidney function.

Impact of non-alcoholic fatty liver disease and fibrosis on mortality and kidney outcomes in patients with type 2 diabetes and chronic kidney disease: A multi-cohort longitudinal study.

To evaluate the impact of non-alcoholic fatty liver disease (NAFLD) presence and fibrosis risk on adverse outcomes in patients with type 2 diabetes and chronic kidney disease. Data were sourced from two longitudinal cohorts: 1172 patients from the National Health and Nutrition Examination Survey (NHANES) and 326 patients from the kidney biopsy cohort at the West China Hospital of Sichuan University. Cox regression estimated hazard ratios (HRs) for NAFLD and liver fibrosis concerning adverse clinical outcomes. Subsequently, a two-sample Mendelian randomization study using genome-wide association study statistics explored NAFLD's potential causal link to cardio-cerebrovascular events. In the NHANES cohort, NAFLD stood as an independent risk factor for various outcomes: overall mortality [HR 1.53 (95% confidence interval, CI 1.21-1.95)], mortality because of cardio-cerebrovascular diseases [HR 1.63 (95% CI 1.12-2.37)], heart disease [HR 1.58 (95% CI 1.00-2.49)], and cerebrovascular disease [HR 3.95 (95% CI 1.48-10.55)]. Notably, advanced liver fibrosis, identified by a fibrosis-4 (FIB-4) score >2.67, exhibited associations with overall mortality, cardio-cerebrovascular disease mortality and heart disease mortality. Within the kidney biopsy cohort, NAFLD correlated with future end-stage kidney disease [ESKD; HR 2.17 (95% CI 1.41-3.34)], while elevated FIB-4 or NAFLD Fibrosis Scores predicted future ESKD, following full adjustment. Liver fibrosis was positively correlated with renal interstitial fibrosis and tubular atrophy in biopsies. Further Mendelian randomization analysis supported a causal relationship between NAFLD and cardio-cerebrovascular events. In patients with type 2 diabetes and chronic kidney disease, the NAFLD presence and elevated FIB-4 scores link to heightened mortality risk and ESKD susceptibility. Moreover, NAFLD shows a causal relationship with cardio-cerebrovascular events.

Early Nonprocedural Bleeding After Left Atrial Appendage Occlusion

BackgroundPatients treated with left atrial appendage occlusion (LAAO) are at high bleeding risk. Intensive antithrombotic treatment is recommended after the procedure to prevent device-related thrombosis. ObjectivesThis study sought to evaluate the incidence, consequences, and predictors of early nonprocedural bleeding after LAAO. MethodsThis was a multicenter study including 1,649 patients undergoing LAAO in 9 centers. Early nonprocedural bleeding was defined as bleeding unrelated to the procedure occurring within 3 months after device implantation. The severity of bleeding was defined by the Valve Academic Research Consortium-2 classification. A sensitivity analysis was performed at 45 days. ResultsA total of 121 (7.3%) patients experienced early nonprocedural bleeding events, and 69 (57.0%) were classified as major bleeding (4.2% of patients). Independent predictors of early nonprocedural bleeding were dual antiplatelet therapy (DAPT) at discharge (adjusted HR [aHR]: 1.61; 95% CI: 1.12-2.33; P = 0.01), prior gastrointestinal bleeding (aHR: 2.15; 95% CI: 1.38-3.35; P < 0.001), and multiple locations of prior bleeding (aHR: 2.33; 95% CI: 1.34-4.05; P < 0.001). DAPT at discharge was predictive of both all and major nonprocedural bleeding at 3 months and 45 days. After a median follow-up of 2.3 years (Q1-Q3: 1.1-4.1 years), early nonprocedural bleeding was independently associated with an increased risk of all-cause death (aHR: 1.53; 95% CI: 1.15-2.06; P < 0.001). This heightened mortality risk was similar at 45 days. ConclusionsEarly nonprocedural bleeding after LAAO occurred in ∼7% of patients within 3 months, with more than one-half being classified as major bleeding. Regardless of severity, early nonprocedural bleeding was associated with increased mortality. DAPT at discharge determined an increased risk of early nonprocedural bleeding after LAAO. These results emphasize the importance of bleeding risk for determining antithrombotic strategies after LAAO.

Estimating survival in data-driven phenotypes of mental health symptoms and peripheral biomarkers: A prospective study

BackgroundChronic psychological stress has widespread implications, including heightened mortality risk, mental and physical health conditions, and socioeconomic consequences. Stratified precision psychiatry shows promise in mitigating these effects by leveraging clinical heterogeneity to personalize interventions. However, little attention has been given to patient self-report. MethodsWe addressed this by combining stress-related self-report measures with peripheral biomarkers in a latent profile analysis and survival model. The latent profile models were estimated in a representative U.S. cohort (n = 1255; mean age = 57 years; 57% female) and cross-validated in Tokyo, Japan (n = 377; mean age = 55 years; 56% female). ResultsWe identified three distinct groups: “Good Mental Health”, “Poor Mental Health”, and “High Inflammation”. Compared to the “Good Mental Health” group, the “High Inflammation” and “Poor Mental Health” groups had an increased risk of mortality, but did not differ in mortality risk from each other. ConclusionsThis study emphasizes the role of patient self-report in stratified psychiatry.

Triceps skinfold thickness trajectories and the risk of all-cause mortality: A prospective cohort study.

The measurement of triceps skinfold (TSF) thickness serves as a noninvasive metric for evaluating subcutaneous fat distribution. Despite its clinical utility, the TSF thickness trajectories and their correlation with overall mortality have not been thoroughly investigated. To explore TSF thickness trajectories of Chinese adults and to examine their associations with all-cause mortality. This study encompassed a cohort of 14747 adults sourced from the China Health and Nutrition Survey. Latent class trajectory modeling was employed to identify distinct trajectories of TSF thickness. Subjects were classified into subgroups reflective of their respective TSF thickness trajectory. We utilized multivariate Cox regression analyses and mediation examinations to explore the link between TSF thickness trajectory and overall mortality, including contributory factors. Upon adjustment for multiple confounding factors, we discerned that males in the 'Class 2: Thin-stable' and 'Class 3: Thin-moderate' TSF thickness trajectories exhibited a markedly reduced risk of mortality from all causes in comparison to the 'Class 1: Extremely thin' subgroup. In the mediation analyses, the Geriatric Nutritional Risk Index was found to be a partial intermediary in the relationship between TSF thickness trajectories and mortality. For females, a lower TSF thickness pattern was significantly predictive of elevated all-cause mortality risk exclusively within the non-elderly cohort. In males and non-elderly females, lower TSF thickness trajectories are significantly predictive of heightened mortality risk, independent of single-point TSF thickness, body mass index, and waist circumference.

Recurrence of Diabetic Foot Complications: A Domino Effect Leading to Lethal Consequences-Insights From a National Longitudinal Study.

Foot complications are common in people with diabetes mellitus (DM), leading to increased health care utilization, heightened mortality risk, and notable recurrence rates even after treatment. This retrospective cohort study aimed to investigate the impact of repeated occurrence of DM-related foot complications on the risk of all-cause mortality and to identify the potential risk factors associated with repeated events. People with DM admitted with foot complications (ulcer, skin and soft tissue infection, or osteomyelitis) from 2012 to 2014 were identified from Taiwan's National Health Insurance Research Database, with a 3-year follow-up for repeated events. We categorized the study subjects based on their cumulative number of hospital admissions with foot complications. Logistic regression was conducted to explore the potential risk factors associated with repeated diabetic foot events. Kaplan-Meier curves and Cox proportional hazard models were used to examine the associations between repeated diabetic foot events and all-cause mortality. In this study, 28 754 eligible individuals were enrolled and classified into 3 groups: no repeated diabetic foot events (76.1%), 1 repeated event (16.0%), and 2 or more repeated events (7.9%). Logistic regression revealed that advanced age, male sex, congestive heart failure, dyslipidemia, hypertension, nephropathy, retinopathy, neuropathy, peripheral vascular disease, diabetes-related preventable hospitalizations, and outpatient visits due to diabetic foot were significantly associated with repeated events of diabetic foot complications. Compared with those with no repeated events, the adjusted hazard ratios for all-cause mortality were 1.26 (95% CI, 1.19-1.34) for 1 repeated event and 1.36 (95% CI, 1.26-1.47) for 2 or more repeated events. The significant association between repeated diabetic foot and elevated mortality risk highlights the critical necessity for proactive and targeted patient care within clinical practice. More research to delve into the predictive factors related to the repeated occurrence of diabetic foot is needed to provide additional insights for prevention strategies.

The Efficiency of Serum Biomarkers in Predicting the Clinical Outcome of Patients with Mesenteric Ischemia during Follow-Up: A Systematic Review.

The initial clinical manifestation of acute mesenteric ischemia poses a diagnostic challenge, often leading to delays in identification and subsequent surgical intervention, contributing to adverse outcomes. Serum biomarkers, offering insights into the underlying pathophysiology, hold promise as prognostic indicators for acute mesenteric ischemia. This systematic review comprehensively explores the role of blood biomarkers in predicting clinical outcomes during follow-up for patients with mesenteric ischemia. A thorough literature search across the PubMed, Cochrane Library, and EMBASE databases yielded 33 relevant publications investigating the efficacy of serum biomarkers in predicting outcomes for mesenteric ischemia. Numerous studies underscore the utility of blood biomarkers in swiftly and accurately differentiating between causes of mesenteric ischemia, facilitating a prompt diagnosis. Elevated levels of specific biomarkers, particularly D-dimers, consistently correlate with heightened mortality risk and poorer clinical outcomes. While certain serum indicators exhibit substantial potential in associating with mesenteric ischemia, further research through rigorous human trials is imperative to enhance their consistent predictive ability during the follow-up period. This study underscores the diagnostic and prognostic significance of specific biomarkers for mesenteric ischemia, emphasizing the necessity for standardized procedures in future investigations.

Prognostication Tools in Older Hospitalized Adults for Identification of Patients with Potential Palliative Care Needs: A Review of Three Instruments

This paper explores the critical role of prognostication tools in identifying high-risk hospitalized older adults who may benefit from palliative care. With an ageing population and increasing prevalence of chronic illnesses, the demand for patient-centered healthcare is paramount. The study evaluates three key tools—the Palliative Performance Scale, CARING criteria, and Palliative Care Rapid Emergency Screening tool. Each tool is analyzed for its psychometric properties, advantages, and limitations. Despite their strengths and limitations, these tools emerge as crucial screening tools for identifying older adults at heightened mortality risk within one year of hospital admission. Our paper calls for ongoing research to adapt and validate existing tools, ensuring their applicability across diverse clinical settings and patient populations.

Combined Prognostic Impact of Low Muscle Mass and Hypoalbuminemia in Patients Hospitalized for Heart Failure: ARetrospective Cohort Study.

Sarcopenia and hypoalbuminemia have been identified as independent predictors of increased adverse outcomes, including mortality and readmissions, in hospitalized older adults with acute decompensated heart failure (ADHF). However, the impact of coexisting sarcopenia and hypoalbuminemia on morbidity and death in adults with ADHF has not yet been investigated. We aimed to investigate the combined effects of lower muscle mass (LMM) as a surrogate for sarcopenia and hypoalbuminemia on in-hospital and postdischarge outcomes of patients hospitalized for ADHF. A total of 385 patients admitted for ADHF between 2017 and 2020 at a single institution were retrospectively identified. Demographic and clinical data were collected, including serum albumin levels at admission and discharge. Skeletal muscle indices were derived from semi-automated segmentation software analysis on axial chest computed tomography at the twelfth vertebral level. Our analysis revealed that patients who had LMM with admission hypoalbuminemia experienced increased diagnoses of infection and delirium with longer hospital length of stay and more frequent discharge to a facility. Upon discharge, 27.9% of patients had higher muscle mass without discharge hypoalbuminemia (reference group), 9.7% had LMM without discharge hypoalbuminemia, 38.4% had higher muscle mass with discharge hypoalbuminemia, and 24.0% had LMM with discharge hypoalbuminemia; mortality rates were 37.6%, 51.4%, 48.9%, and 63.2%, respectively. 1- and 3-year mortality risks were highest in those with LMM and discharge hypoalbuminemia; this relationship remained significant over a median 23.6 (3.1-33.8) months follow-up time despite multivariable adjustments (hazard ratio, 2.03 [95% CI, 1.31-3.16]; P=0.002). Hospitalization with ADHF, LMM, and hypoalbuminemia portend heightened mortality risk.

0023 Circadian fragmentation and stability distinguish employment status

Abstract Introduction This analysis used data from the Assessing Daily Activity Patterns Through Occupational Transitions (ADAPT) study to compare differences in employment status on activity variability, as an indicator of circadian fragmentation and stability. Circadian fragmentation refers to frequency of alterations between rest and activity relative to the daily rhythm and stability refers to day-to-day similarity. High fragmentation and low stability have been linked to a number of negative health outcomes including depression, obesity, and heightened mortality risk. Methods The sample consisted of 155 participants that included 702 total cases (n = 434 employed, n = 268 unemployed) assessed over 18 months. Participants were required to have involuntarily lost their jobs in the last 90 days. Employment status was determined for all participants at each visit based on demographic surveys. Daily activity patterns were assessed via actigraphy (Actiwatch-Spectrum) at 30 second epochs for 14 days. The nonparametric measures of intradaily variability (IV) and interdaily stability (IS) were used as measures of circadian fragmentation and stability. Several subsampling intervals were considered for IV, ranging from 5 minutes to 4 hours. Results Unemployment was associated with higher IV (for 1 hour subsampling intervals, t=5.23, p &amp;lt; .001) and lower IS than employment (t=2.38, p &amp;lt;.05). The same is true with changes in the subsampling interval for IV, with highest significance at 45 minutes to 1.5 hours. Significant findings remained even for 5 minute (t=2.15, p &amp;lt; .05) and 4 hour (t = 4.07, p&amp;lt;.001) intervals. Conclusion In a sample of adults with variable employment status, employment was associated with less circadian fragmentation and more stability than unemployment. These findings suggest that circadian fragmentation and instability may be two mechanisms by which job loss increases negative health risk. Future planned studies examining prospective changes in circadian fragmentation/stability during employment transitions will help answer this question. Support (if any) NIH #1R01HL117995-01A1, NSF DMS 1937229, NSF CCF 1740858

MORTALITY RISK AMONG OLDER VETERANS AND NONVETERANS: THE IMPORTANCE OF COMBAT STATUS

Abstract Over 17.4 million Americans have served in the U.S. armed forces. Although long-term mortality risk is reported to be higher among older veterans than nonveterans, research does differentiate whether there is variation by combat status. This study examined later-life mortality rates among nonveterans, noncombat veterans, and combat veterans. Data were from Wave 2 of the Midlife Development in the United States Survey (N = 4,633). Participants included 3832 nonveterans, 584 noncombat veterans, and 217 combat veterans. Mortality rates did not differ when comparing nonveterans and noncombat veterans. Combat veterans, however, had a higher risk of mortality than did than nonveterans. Combat experience is a determinant of long-term mortality risk among veterans. Future studies should account for combat status when comparing health and mortality between veterans and nonveterans. Because of their heightened mortality risk, combat veterans should be provided with additional services during and after their time in the armed forces.