All-cause Mortality In Elderly Patients Research Articles

Impact of atrial high-rate episodes on new onset of atrial fibrillation and all-cause mortality in elderly patients over 90 years old with dual-chamber pacemaker implantation

Objective: To investigate the impacts of atrial high-rate episodes (AHRE) on the risks of new onset of atrial fibrillation and all-cause mortality in elderly patients over 90 years old after cardiac dual-chamber pacemaker implantation. Methods: This study was a retrospective study. Patients aged 90 years and above who were implanted with cardiac dual-chamber pacemakers and followed up in the People's Liberation Army General Hospital from January 2017 to June 2022 were enrolled and divided into AHRE≥6 h group and AHRE<6 h group according to the onset time of AHRE. The primary endpoint was new onset of atrial fibrillation, and the secondary endpoints were all-cause mortality and cardiovascular mortality. Kaplan-Meier survival curve was poltted, and log-rank test was used to compare the differences in the incidence of new onset of atrial fibrillation, all-cause death and cardiovascular death between AHRE≥6 h and AHRE<6 h groups. Multivariate Cox survival analysis was used to investigate the factors affecting new onset of atrial fibrillation, all-cause death and cardiovascular death in elderly patients aged 90 years and above with dual-chamber pacemaker implantation. Results: A total of 169 patients were enrolled, aged (93.95±3.28) years, including 18 females (11%). The median follow-up time was 28.9 months. There were 87 and 82 patients in AHRE≥6 h group and AHRE<6 h group, respectively. Kaplan-Meier survival curve analysis showed that the incidence of new onset of atrial fibrillation (log-rank P<0.001), all-cause death (log-rank P=0.004) and cardiovascular death (log-rank P=0.026) in AHRE≥6 h group was significantly higher than that in AHRE<6 h group.After adjusting for traditional risk factors, multivariate Cox survival analysis showed that AHRE≥6 h was an independent risk factor for new onset of atrial fibrillation (HR=4.046, 95%CI 2.402-6.814, P<0.001) and all-cause mortality (HR=1.668, 95%CI 1.119-2.487, P=0.012) in elderly patients over 90 years old with cardiac dual-chamber pacemaker implantation. However, AHRE≥6 h had no effect on cardiovascular mortality (P>0.05). Anemia (HR=3.098, 95%CI 1.342-7.153, P=0.008) and heart failure with reduced ejection fraction (HR=3.028, 95%CI 1.181-7.763, P=0.021) were both independently associated with cardiovascular mortality. Conclusions: AHRE is common in cardiac dual-chamber pacemakers recipients aged 90 years and above, and AHRE≥6 h can be used as a predictor of new onset of atrial fibrillation or all-cause mortality in these patients.

Evaluation of the Atherogenic Index of Plasma to Predict All-Cause Mortality in Elderly With Acute Coronary Syndrome: A Long-Term Follow-Up.

The Atherogenic Index of Plasma (AIP) is associated with coronary artery disease (CAD) and acute coronary syndrome (ACS), but the relationship between AIP and ACS in elderly patients remains unclear. We investigated the prognostic capability of AIP for in-hospital and long-term mortality in elderly patients with ACS undergoing coronary angiography (CA). We analyzed 627 patients with ACS over 75years of age who were admitted to our clinic between April 2015 and December 2022 and underwent CA. The primary clinical endpoints were in-hospital, 30-day, 1-year, and long-term mortality. The median follow-up time was 27months. AIP was defined as log (triglyceride/high-density lipoprotein cholesterol). In-hospital mortality rates for patients with AIP ≤.1 and AIP >.1 were 4.7% and 17.6% (P < .001), 30-day mortality rates were 8.7% and 32.2% (P = .01), 1-year mortality rates were 12.1% and 45.1% (P < .001), and long-term mortality rates were 47.3% and 67.5% (P < .001), respectively. Multivariate Cox regression analysis revealed AIP, age, left ventricle ejection fraction (LVEF), admission creatinine, and Killip ≥2 as independent predictors for long-term mortality. AIP can predict in-hospital and long-time all-cause mortality in elderly patients with ACS undergoing CA. Age, LVEF, admission creatinine, and Killip ≥2 are additional factors that predict long-term all-cause mortality.

Metabolic syndrome is associated with mortality in elderly patients with acute respiratory distress syndrome

BackgroundThis study aims to evaluate the association of metabolic syndrome (MetS) with the risk of all-cause mortality in elderly patients with acute respiratory distress syndrome (ARDS).MethodsElderly ARDS patients (≥ 65 years) enrolled from our hospital between January 2018 and July 2023 were divided into the MetS group or the non-MetS group. The outcomes were 28-day and 90-day all-cause mortality rates in the total population and two subgroups stratified by age (65–75 years and ≥ 75 years). Multivariate Cox regression was employed to assess the association of MetS with all-cause mortality, after controlling for potential cofounding factors.ResultsA total of 946 patients were divided into the MetS group (n = 410) or the non-MetS group (n = 536). The 28-day and 90-day all-cause mortality rates were significantly higher for MetS group compared to non-MetS group in the total population and two subgroups (all P < 0.01). Multivariate Cox regression indicated that MetS was significantly associated with a higher risk of 90-day all-cause mortality in the total population (HR = 1.62, 95% CI: 1.22–2.15; P < 0.01), and subgroups of patients aged 65–75 years (HR = 1.52, 95% CI: 1.04–2.21; P = 0.03) and ≥ 75 years (HR = 1.90, 95% CI: 1.23–2.94; P < 0.01). Moreover, with each MetS criterion added from 0 to 1 to 2, 3, and 4 of 4 criteria, both 28-day and 90-day all-cause mortality rates significantly increased (both P < 0.01).ConclusionMetS was associated with higher risks of 28-day and 90-day all-cause mortality in elderly patients with ARDS.

Effects of combined morbid insomnia and sleep apnea on long-term cardiovascular risk and all-cause mortality in elderly patients: a prospective cohort study

PurposeIt is reported that insomnia and obstructive sleep apnea (OSA) increase the incidence of adverse cardiovascular events. The aim of this study was to analyze the risk of cardiovascular disease and mortality in elderly patients with comorbid insomnia and obstructive sleep apnea (COMISA).MethodsWe included 868 elderly patients with OSA who underwent sleep monitoring at a multicenter sleep room from January 2015 to October 2017. We collected demographic data, clinical features, medical history, sleep parameters, and laboratory findings. Cox proportional hazards analysis was used to identify the relationship between COMISA and adverse cardiovascular events and all-cause mortality.ResultsThere were 181 elderly patients with COMISA. The median follow-up was 43 months, during which we observed major adverse cardiac events (MACE) in 90 patients. The Kaplan-Meier survival curve indicated a significant relationship between COMISA and MACE (Plog Rank < 0.001). Multivariate Cox regression analysis showed that COMISA increased the incidence of MACE (HR = 2.328, 95% CI: 1.349–4.018, P = 0.002), hospitalization for unstable angina (HR = 2.915, 95% CI: 1.397–6.081, P = 0.004), and the combination of all events (HR = 2.301, 95% CI: 1.393–3.803, P = 0.001). However, there were no significant differences in cardiovascular death, all-cause mortality, myocardial infarction, or hospitalized heart failure in patients with COMISA (P > 0.05). Subgroup analyses showed that among COMISA patients, male sex (HR = 2.800, 95% CI: 1.458-5.377, P = 0.002), age < 70 years (HR = 4.050, 95% CI: 2.022–8.115, P < 0.001), and overweight and obesity (HR = 2.482, 95% CI: 1.383-4.453, P = 0.002) were associated with a higher risk of MACE.ConclusionsOur results showed that COMISA increased the risk of MACE, unstable angina, and the compound occurrence of all events. Male, overweight or obese COMISA patients under 70 years of age have an increased risk of MACE.

Comparison of the Value of Four Objective Nutritional Indices in Assessing the Long-Term Prognosis of Elderly Patients with Heart Failure with Preserved Ejection Fraction.

The long-term prognosis of heart failure with preserved ejection fraction (HFpEF) is influenced by malnutrition. Currently, there's a deficit in objective and comprehensive nutritional assessment methods to evaluate the nutritional status and predicting the long-term outcomes of HFpEF patients. Our retrospective study included two hundred and eighteen elderly HFpEF patients admitted to the cardiovascular ward at the Air Force Medical Centre from January 2016 to December 2021. Based on follow-up outcomes, patients were categorized into all-cause death (99 cases) and Survival (119 cases) groups. We compared general data, laboratory results, and nutritional indexes between groups. Differences in subgroups based on Triglyceride-Total Cholesterol-Body Weight Index (TCBI), Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), and Controlled Nutrition Score (CONUT) were analyzed using Kaplan-Meier survival curves and log-rank test. COX regression was used to identify all-cause mortality risk factors, and the predictive accuracy of the four nutritional indices was assessed using receiver operating characteristic (ROC) curves and Delong test analysis. A total of 101 (45.41%) HFpEF patients experienced all-cause mortality during 59.02 1.79 months of follow-up. The all-cause mortality group exhibited lower GNRI and PNI levels, and higher CONUT levels than the Survival group (p 0.05). Kaplan-Meier analysis revealed lower cumulative survival in the low GNRI ( 96.50) and low PNI ( 43.75) groups, but higher in the low CONUT ( 2) group, compared to their respective medium and high-value groups. Multifactorial COX regression identified low PNI ( 43.75) as an independent all-cause mortality risk factor in elderly HFpEF patients. ROC and Delong's test indicated PNI (area under the curve [AUC] = 0.698, 95% confidence interval [CI] 0.629-0.768) as a more effective predictor of all-cause mortality than TCBI (AUC = 0.533, 95% CI 0.456-0.610) and CONUT (AUC = 0.621, 95% CI 0.547-0.695; p 0.05). However, there was no significant difference compared to GNRI (AUC = 0.663, 95% CI 0.590-0.735; p 0.05). In elderly HFpEF patients a PNI 43.75 was identified as an independent risk factor for all-cause mortality. Moreover, PNI demonstrates superior prognostic performance in predicting all-cause mortality in elderly patients with HFpEF when compared to TCBI, GNRI, and COUNT.

The role of periprocedural hemodynamic variables during carotid stenting for the mid-term general mortality in advanced age patients.

Carotid stenting may produce significant bradycardia and/or hypotension. This may have negative short- and long-term effects for the elderly high-risk patients. Their cerebral hemodynamics is with exhausted adaptive capacity because of the multiple cardiovascular risk factors, advanced age, and significant stenosis.

Risk factors for short-term mortality in elderly hip fracture patients with complicated heart failure in the ICU: A MIMIC-IV database analysis using nomogram

BackgroundHip fracture is a prevalent and hazardous injury among the elderly population that often results in intensive care unit (ICU) admission due to various complications, despite advanced medical science. One common complication experienced in the ICU by elderly hip fracture patients is heart failure, which significantly impacts short-term survival rates. Currently, there is a deficit of adequate predictive models to forecast the short-term risk of death following heart failure for elderly hip fracture patients in the ICU. This study aims to identify independent risk factors for all-cause mortality within 30 days for elderly patients with hip fractures and heart failure while in the ICU in order to develop a predictive model.MethodA total of 641 elderly patients with hip fractures combined with heart failure were recruited from the Medical Information Mart for Intensive Care IV dataset and randomized to the training and validation sets. The primary outcome was all-cause mortality within 30 days. The least absolute shrinkage and selection operator regression was used to reduce data dimensionality and select features. Multivariate logistic regression was used to build predictive models. Consistency index (C-index), receiver operating characteristic curve, and decision curve analysis (DCA) were used to measure the predictive performance of the nomogram.ResultOur results showed that these variables including MCH, MCV, INR, monocyte percentage, neutrophils percentage, creatinine, and combined sepsis were independent factors for death within 30 days in elderly patients with hip fracture combined with heart failure in the ICU. The C-index was 0.869 (95% CI 0.823–0.916) and 0.824 (95% CI 0.749–0.900) for the training and validation sets, respectively. The results of the area under the curve and decision curve analysis (DCA) confirmed that the nomogram performed well in predicting elderly patients with hip fractures combined with heart failure in the ICU.ConclusionWe developed a new nomogram model for predicting 30-day all-cause mortality in elderly patients with hip fractures combined with heart failure in the ICU, which could be a valid and useful clinical tool for clinicians for targeted treatment and prognosis prediction.

The Association Between Red Cell Distribution Width (RDW) and All-Cause Mortality in Elderly Patients with Hip Fractures: A Retrospective Cohort Study.

Red cell distribution width (RDW) may be related to the prognosis of hip fractures. The purpose of this study was to evaluate the association between (RDW) and all-cause mortality in elderly hip fractures. Elderly patients aged ≥65 years who had a hip fracture were screened between January 1, 2015, and September 30, 2019. The age, gender of patients and other demographics, as well as history of allergy, injury mechanism, underlying illnesses at the time of admission, fracture classification, time from admission to operation, RDW, operation time, blood loss, infusion, transfusion, treatment strategy, and length in hospital stay and follow-up and other clinical characteristics were collected. Linear and nonlinear multivariate Cox regression models were used to identify the association between RDW and mortality in these patients. Analyses were performed using EmpowerStats and the R software. A total of 2587 patients were included in this retrospective cohort study. The mean follow-up period was 38.92 months. A total of 873 (33.75%) patients died due to all-cause mortality. The RDW was linearly associated with mortality in elderly patients with hip fractures. Linear multivariate Cox regression models showed that RDW was associated with mortality (hazard ratio [HR]=1.03, 95% confidence interval [CI]:1.02-1.05, P < 0.0001) after adjusting for confounding factors. The mortality risk increased by 3% when RDW increased by 1 fL. RDW is associated with mortality in elderly patients with hip fractures, and RDW could be considered a predictor of mortality risk. ChiCTR2200057323.

#3160 IMPACT OF HEART FUNCTION ON ELDERLY INCIDENT HEMODIALYSIS PATIENTS

Abstract Background and Aims Cardiovascular disease (CVD) is the most common cause of death in patients on hemodialysis (HD). Indeed, left ventricular (LV) dysfunction, symptomatic congestive heart failure and arrhythmia are independent predictors of poor survival and hospitalization in these patients. Among the patients who initiated HD, the proportions of the elderly patients aged &amp;gt;65 years are increasing worldwide. According to the Korean Renal Data System, the percentage of incident HD patients aged&amp;gt;65 years increased from 11% in 1990 to 53% in 2022. In addition, the prevalence of CVD increases with age. Therefore following these trends, investigating the impact of heart function on prognosis in elderly patients on HD is important for predicting prognosis and making appropriate treatment plans. This study aims to investigate the all-cause mortality in elderly incident HD patients according to heart function and presence of arrhythmia. Method 1,002 incident HD patients aged &amp;gt;70 years were recruited from a retrospective cohort of the Korean Society of Geriatric Nephrology. The primary outcome is all-cause mortality (6 months, overall) according to the LV function and presence of arrhythmia. To analyze, patients were divided into 6 groups according to the LV function (LV ejection fraction [LVEF]≥50%, 40≤LVEF&amp;lt;50%, LVEF&amp;lt;40%) and the presence of arrhythmia. The secondary outcome is all-cause mortality (6 months, overall) according to the LV function or presence of arrhythmia. To analyze, patients were divided into 3 groups according to the LV function and separately divided into 2 groups according to the presence of arrhythmia. Cox regression univariate and multivariate analyses was used. Results 1,002 patients were divided into 6 groups (LVEF≥50% without arrhythmia [N = 707, 70.6%], 40≤LVEF&amp;lt;50% without arrhythmia [N = 71, 7.1%], LVEF&amp;lt;40% without arrhythmia [N = 66, 6.6%], LVEF≥50% with arrhythmia [N = 124, 12.4%], 40≤LVEF&amp;lt;50% with arrhythmia [N = 15, 1.5%], LVEF&amp;lt;40% with arrhythmia [N = 19, 1.8%]). There were no differences of 6-month all-cause mortality among the groups. Compared with LVEF≥50% without arrhythmia group, 40≤LVEF&amp;lt;50% without arrhythmia (hazard ratio [HR], 1.59; 95% confidence interval [95% CI], 1.21-2.09; P = 0.001), LVEF≥50% with arrhythmia (HR, 1.39; 95% CI, 1.12-1.74, P = 0.003) and LVEF&amp;lt;40% with arrhythmia groups (HR, 1.95; 95% CI, 1.19-3.17, P = 0.007) showed higher all-cause mortality of overall period. According to the LVEF groups, there were no differences of 6-month all-cause mortality among the groups. Compared with LVEF≥50% group, 40≤LVEF&amp;lt;50% group showed higher all-cause mortality of overall period (HR, 1.51; 95% CI, 1.18-1.94, P = 0.001). According to the arrhythmia groups, there were no differences of 6-month all-cause mortality between the groups. The presence of arrhythmia was associated with higher all-cause mortality of overall period (HR, 1.39; 95% CI, 1.15-1.69, P = 0.001). Conclusion Decreased heart function and presence of arrhythmia have negative impact on all-cause mortality of overall period, but not on 6-month all-cause mortality in elderly patients on incident HD. Therefore, evaluation of the heart function and detection of arrhythmia in elderly patients who start HD and providing the appropriate treatment to these patients would be helpful for improving the prognosis.

Effect of dementia on all-cause mortality in hip fracture surgery: a retrospective study on a nationwide Korean cohort

ObjectivesWe aimed to evaluate the effect of dementia on the 1-year all-cause mortality in elderly patients who underwent hip fracture surgery, using a nationwide cohort in Korea.Design, setting, and participantsThis...

Exercise intolerance and malnutrition associated with all-cause mortality in elderly patients undergoing peritoneal dialysis: a single-center prospective cohort study.

Low physical function and malnutrition in elderly patients undergoing peritoneal dialysis (PD) are important issues that may be associated with prognosis. We aimed to determine the association between physical function and nutritional status and survival in elderly patients undergoing PD. This single-center, prospective cohort study included 45 stable, ambulatory patients undergoing PD. Physical function was measured using the 6-min walk distance (6MWD) test, 10-m walk speed, handgrip strength, lower extremity muscle strength, and short physical performance battery. Nutritional status was assessed using albumin levels and the Geriatric Nutritional Risk Index (GNRI). Patients were divided into two groups according to adverse events. Receiver operating characteristic curve analysis was used to predict mortality. The relationships between all-cause mortality and physical function and nutritional status were studied using Kaplan-Meier analysis and the log-rank test. The mean patient age was 75.3 ± 6.5years. The median follow-up time was 32 (interquartile range 18-51) months, during which 11 deaths occurred. Death during follow-up was significantly associated with lower 6MWD (237.4 ± 120.2 vs. 355.2 ± 105.9m), lower GNRI (77.3 ± 16.3 vs. 89.3 ± 8.1), and lower albumin levels (2.8 ± 0.6 vs. 3.3 ± 0.4mg/dL) at baseline (p < 0.05). The cut-off values were 338m, 83.3, and 2.95g/dL for the 6MWD, GNRI, and albumin levels, respectively. The 6MWD test, GNRI, and albumin levels were significantly associated with all-cause mortality (p < 0.05). Additionally, the group with combined exercise intolerance and malnutrition had a lower survival rate (p < 0.05). Lower 6MWD and malnutrition are predictors of mortality in elderly patients undergoing PD.

Construction and validation of a nomogram for predicting survival in elderly patients with cardiac surgery.

In recent years, the number of elderly patients undergoing cardiac surgery has rapidly increased and is associated with poor outcomes. However, there is still a lack of adequate models for predicting the risk of death after cardiac surgery in elderly patients. This study sought to identify independent risk factors for 1-year all-cause mortality in elderly patients after cardiac surgery and to develop a predictive model. A total of 3,752 elderly patients with cardiac surgery were enrolled from the Medical Information Mart for Intensive Care III (MIMIC-III) dataset and randomly divided into training and validation sets. The primary outcome was the all-cause mortality at 1 year. The Least absolute shrinkage and selection operator (LASSO) regression was used to decrease data dimensionality and select features. Multivariate logistic regression was used to establish the prediction model. The concordance index (C-index), receiver operating characteristic curve (ROC), and decision curve analysis (DCA) were used to measure the predictive performance of the nomogram. Our results demonstrated that age, sex, Sequential Organ Failure Assessment (SOFA), respiratory rate (RR), creatinine, glucose, and RBC transfusion (red blood cell) were independent factors for elderly patient mortality after cardiac surgery. The C-index of the training and validation sets was 0.744 (95%CI: 0.707-0.781) and 0.751 (95%CI: 0.709-0.794), respectively. The area under the curve (AUC) and decision curve analysis (DCA) results substantiated that the nomogram yielded an excellent performance predicting the 1-year all-cause mortality after cardiac surgery. We developed a novel nomogram model for predicting the 1-year all-cause mortality for elderly patients after cardiac surgery, which could be an effective and useful clinical tool for clinicians for tailored therapy and prognosis prediction.

Systemic Inflammation Response Index Is a Promising Prognostic Marker in Elderly Patients With Heart Failure: A Retrospective Cohort Study.

BackgroundHeart failure (HF) is a clinical syndrome caused by ventricular dysfunction, which leads to the decline of activity tolerance and repeated hospitalization, which seriously affects the quality of life and is the main cause of death of the elderly. It has long been observed that the pathophysiological mechanism of HF is associated with systemic inflammation. This study aims to explore the association between the systemic inflammation response index (SIRI), a novel biomarker of inflammation, and outcomes in elderly patients with HF.MethodsData was extracted from the Medical Information Mart data for Intensive Care III (MIMIC-III) database and the Second Affiliated Hospital of Wenzhou Medical University. The primary outcome was 90-day all-cause mortality. The secondary outcomes included 1-year all-cause mortality, the length of hospital or intensive care unit (ICU) stay, and the need for renal replacement therapy (RRT). Cox proportional hazards regression, linear regression, and logistic regression models were used to assess the association between SIRI levels and all-cause mortality, the length of hospital or ICU stay, the need for RRT, respectively. Moreover, Pearson correlation analysis was conducted to evaluate the correlation between SIRI and C-reactive protein (CRP).ResultsThis study cohort included 3,964 patients from the MIMIC-III database and 261 patients from the Second Affiliated Hospital of Wenzhou Medical University. The result suggested that SIRI was independently associated with the 90-day, and 1-year all-cause mortality in elderly patients with HF (tertile 3 vs. tertile 1: adjusted HR, 95% CI: 1.41 (1.18, 1.68), 1.19 (1.03, 1.37); p trend = 0.0013, 0.0260; respectively). Elevated SIRI was associated with increased the length of hospital or ICU stay after adjusting for multiple confounders (tertile 3 vs. tertile 1: β, 95% CI: 0.85 (0.16, 1.54); 0.62 (0.18, 1.06); p trend = 0.0095, 0.0046; respectively). Furthermore, we found that patients with higher SIRI levels were more likely to require RRT (tertile 3 vs. tertile 1: OR, 95% CI: 1.55 (1.06, 2.28); p trend = 0.0459). Moreover, we confirmed that SIRI was statistically positively correlated with CRP (correlation coefficient r = 0.343, p <0.001).ConclusionsSIRI could be a novel promising inflammatory biomarker for predicting all-cause mortality in elderly patients with HF. And the patients with higher SIRI values had the longer length of hospital or ICU stay and were more likely to require for RRT. Of note, this study also verified a statistically significant positive correlation between SIRI and the inflammatory marker CRP, highlighting the importance of systemic inflammation as a determinant of outcome in patients with HF.

MO902: Age-Specific Impacts of Risk Factors on All-Cause Mortality in Dialysis Patients

Abstract BACKGROUND AND AIMS Chronic haemodialysis patients expect longer lifespan than previously; they have various backgrounds of mortality risk factors. However, age specific impacts of risk factors on mortality in dialysis patients have rarely been evaluated. Therefore, we aimed to analyze age-specific association between risk factors and all-cause mortality and evaluated differences in the association among age groups. METHOD We conducted a post-hoc analysis of the 461 hypertensive chronic haemodialysis (HD) patients participated in the Olmesartan Clinical Trial in Okinawan Patients Under OKIDS (OCTOPUS) between June 2006 and June 2011. The participants were additionally followed up until 31 July 2018. We stratified the participants into 3 groups (younger patients, n = 156; middle-aged patients, n = 160; elderly patients, n = 145) based on tertile of their ages at their enrollment to the trial. We used age-stratified Cox regression models to assess the association of baseline predictors with all-cause mortality for each age group. In addition, we calculated hazard-ratio based population attributable fraction (PAF) for baseline predictors and all-cause mortality across age groups. RESULTS A median follow-up period of participants was 10.2 years. Means and standard deviations of age for three age groups; younger, middle-aged and elderly patients, were 45.9 ± 6.5, 61.2 ± 3.9 and 72.5 ± 3.3, respectively. The number (%) of deceased patients for the three group was 40 (25.6%), 65 (40.6%) and 106 (73.1%); hazard ratios estimated with Cox regression adjusted for gender and diabetes for the three groups were 1(Reference), 1.43 (0.96–2.14; P = 0.075) and 3.49 (2.41–5.05; P &amp;lt; 0.001), respectively. Age-stratified Cox-regression analyses showed the following associations; diabetes was stably associated with all-cause mortality in all age groups; history of stroke, history of coronary intervention, systolic blood pressure ≥ 170 mmHg and serum phosphate ≥ 6.0 mg/dL had greater impacts on all-cause mortality in younger patients compared with elderly patients; and hypoalbuminemia and hypokalemia had higher impact on all-cause mortality in elderly patients (Figure 1A). We calculated hazard-ratio based PAF for the risk factors to evaluate the difference in impacts of risk factors on all-cause mortality among the age groups; systolic blood pressure ≥ 170mmHg and serum phosphate ≥ 6.0 mg/dL were strongly associated with deaths especially in younger patients (Figure 1B). The total of PAF in elderly patients was almost half of the total of PAF in younger patients. CONCLUSION In chronic haemodialysis patients, associations between risk factors and all-cause mortality are not uniform among different age groups. Vascular disease associated risk factors and hyperphosphatemia were associated with greater risk of morality in younger patients. Hypoalbuminemia and hypokalemia were associated with higher risk of mortality in elderly patients. Proportion of deaths due to modifiable risk factors in elderly HD patients is almost half of that in younger HD patients.

Association of Metabolic Syndrome With Long-Term Cardiovascular Risks and All-Cause Mortality in Elderly Patients With Obstructive Sleep Apnea.

BackgroundEvidence suggests that an increased risk of major adverse cardiac events (MACE) and all-cause mortality is associated with obstructive sleep apnea (OSA), particularly in the elderly. Metabolic syndrome (MetS) increases cardiovascular risk in the general population; however, less is known about its influence in patients with OSA. We aimed to assess whether MetS affected the risk of MACE and all-cause mortality in elderly patients with OSA.MethodsFrom January 2015 to October 2017, 1,157 patients with OSA, aged ≥60 years, no myocardial infarction (MI), and hospitalization for unstable angina or heart failure were enrolled at baseline and were followed up prospectively. OSA is defined as an apnea-hypopnea index of ≥5 events per hour, as recorded by polysomnography. Patients were classified on the basis of the presence of MetS, according to the definition of the National Cholesterol Education Program (NCEP). Incidence rates were expressed as cumulative incidence. Cox proportional hazards analysis was used to estimate the risk of all events. The primary outcomes were MACE, which included cardiovascular death, MI, and hospitalization for unstable angina or heart failure. Secondary outcomes were all-cause mortality, components of MACE, and a composite of all events.ResultsMetS was present in 703 out of 1,157 (60.8%) elderly patients with OSA. During the median follow-up of 42 months, 119 (10.3%) patients experienced MACE. MetS conferred a cumulative incidence of MACE in elderly patients with OSA (log-rank, P < 0.001). In addition, there was a trend for MACE incidence risk to gradually increase in individuals with ≥3 MetS components (P = 0.045). Multivariate analysis showed that MetS was associated with an incidence risk for MACE [adjusted hazard ratio (aHR), 1.86; 95% confidence interval (CI), 1.17–2.96; P = 0.009], a composite of all events (aHR, 1.54; 95% CI, 1.03–2.32; P = 0.036), and hospitalization for unstable angina (aHR, 2.01; 95% CI, 1.04–3.90; P = 0.039). No significant differences in the risk of all-cause mortality and other components of MACE between patients with and without MetS (P > 0.05). Subgroup analysis demonstrated that males (aHR, 2.23; 95% CI, 1.28–3.91, P = 0.05), individuals aged <70 years (aHR, 2.36; 95% CI, 1.27–4.39, P = 0.006), overweight and obese individuals (aHR, 2.32; 95% CI, 1.34–4.01, P = 0.003), and those with moderate-severe OSA (aHR, 1.81;95% CI: 1.05–3.12, P = 0.032) and concomitant MetS were at a higher risk for MACE.ConclusionMetS is common in elderly patients with OSA in the absence of MI, hospitalization for unstable angina or heart failure. Further, it confers an independent, increased risk of MACE, a composite of all events, and hospitalization for unstable angina. Overweight and obese males, aged <70 years with moderate-severe OSA combined with MetS presented a significantly higher MACE risk.

A Non-Linear Association of Triglyceride Glycemic Index With Cardiovascular and All-Cause Mortality Among Patients With Hypertension.

BackgroundTo investigate the association between insulin resistance (IR), quantified by triglyceride glycemic index (TyG index), cardiovascular mortality (CVM), and all-cause mortality (ACM) in hypertension patients.MethodsWe included 8,554 patients with hypertension aged ≥18 years old from the 1999–2014 National Health and Nutrition Examination Surveys (NHANES). The status of CVM and ACM of participants were followed through December 31, 2015. Cox proportional hazards models and Kaplan-Meier survival curves were used to evaluate the relationship between TyG index, CVM, and ACM.ResultsDuring a median of 82 months follow-up, 1,882 mortality cases had occurred, 434 of which were due to cardiovascular disease. The patients with hypertension with TyG ≥ 10 were older, had a higher chance of being smokers, were obese, had higher blood pressure, and had risk or had cardiovascular disease. In Cox proportional hazards models, compared with the patients with TyG <8, those with TyG ≥ 10 had 56% increased risk for ACM. On the other hand, no significant difference for CVM between the four groups were observed. In the restricted cubic spline regression models, the relationship between TyG index and ACM was non-linear. Subgroup analysis showed non-linear relationship between TyG index and ACM in elderly patients aged ≥60 years. The cut-off value of TyG for ACM was 9.45, and those with higher or lower than 9.45 had more risk of ACM. When TyG index was more than 9.52, the risk for CVM would increase among the whole group. Kaplan-Meier survival curves showed patients with TyG ≥ 10 had higher risk of ACM and CVM (Log rank P < 0.05).ConclusionsWe demonstrated that the association between ACM and TyG index in elderly patients with hypertension aged ≥60 years was non-linear. However, TyG index was only more than 9.52, hence, the risk for CVM would increase among the whole hypertension group.

The Prevalence of Clostridium difficile Colitis and Effect on All-Cause Mortality in Elderly Patients after Hip Fracture Surgery: A Korean Nationwide Cohort Study.

This study aimed to investigate the prevalence of Clostridium difficile colitis (CDC) in elderly patients with hip fractures using a nationwide cohort database and to analyze the effect of CDC on the all-cause mortality rate after hip fracture. This retrospective nationwide study identified subjects from the Korean National Health Insurance Service-Senior cohort. The subjects of this study were patients who were over 65 years old and underwent surgical treatment for hip fractures from January 1, 2002, to December 31, 2015. The total number of patients included in this study was 10,158. The diagnostic code used in this study was A047 of the International Classification of Diseases, 10th revision for identifying CDC. Procedure codes for C. difficile culture or toxin assay were BY021 and BY022. CDC patients were defined as follows: patients treated with oral vancomycin or metronidazole over 10 days and patients with procedure codes BY021 and BY022 or diagnostic code A047 after hip fracture. Incidence date (index date, time zero) of hip fracture for analyzing risk of all-cause mortality was defined as the date of discharge. A generalized estimating equation model with Poisson distribution and logarithmic link function was used for estimating adjusted risk ratios and 95% confidence intervals to assess the association between CDC and cumulative mortality risk. The prevalence of CDC during the hospitalization period in the elderly patients with hip fractures was 1.43%. Compared to the non-CDC group, the CDC group had a 2.57-fold risk of 30-day mortality after discharge, and a 1.50-fold risk of 1-year mortality after discharge (p < 0.05). The prevalence of CDC after hip fracture surgery in elderly patients was 1.43%. CDC after hip fracture in the elderly patients significantly increased the all-cause mortality rate after discharge.

Admission Resting Heart Rate as an Independent Predictor of All-Cause Mortality in Elderly Patients with Hip Fracture.

PurposeTo investigate the relationship between admission resting heart rate (RHR) and all-cause mortality in elderly patients with hip fracture.MethodsA retrospective cohort study with 837 patients based on the established hip fracture database was conducted. Admission RHR was measured via electrocardiogram, and patients were grouped by the median RHR value (beats per minute, bpm). The main outcomes were 1-year and total all-cause mortality. Cox proportional hazard models and restricted cubic spline were used to assess the relationship between RHR and mortality. Sensitivity analyses were further performed to determine whether the results were stable.ResultsThe mean and median RHR were 82.3 and 80.0 bpm, respectively. After a median follow-up of 31.8 months, the 1-year and total all-cause mortality were 17.6% and 31.2%. Multivariable Cox analyses showed that high RHR was an independent risk factor for 1-year mortality (HR = 1.51; 95% CI: 1.08–2.13; p = 0.016), and total mortality (HR = 1.44; 95% CI: 1.12–1.85; p = 0.005). For each 10 bpm increase in RHR, the risk of 1-year death increased by 23.0% (HR = 1.23; 95% CI: 1.09–1.39; p = 0.001), and total death increased by 21.0% (HR = 1.21; 95% CI: 1.09–1.34; p < 0.001). A typical J-shaped curve was observed in the restricted cubic spline for the association between RHR and 1-year mortality, with the lowest mortality risk at 70 bpm. Sensitivity analyses yielded similar findings.ConclusionAn increase in RHR was independently associated with all-cause mortality, and may be a useful prognostic predictor for elderly patients with hip fracture.

J-shaped relationship between admission diastolic blood pressure and 2-year cardiovascular mortality in elderly patients with acute coronary syndrome

Abstract Objective To investigate the relationship between admission diastolic blood pressure (DBP) and subsequent cardiovascular and all-cause mortality in elderly patients with acute coronary syndrome (ACS). Methods This is a retrospective observational study. Consecutive patients ≥65 years of age admitted for ACS at a 2,300-bed tertiary hospital from December 2012 to July 2019 were included. The association between admission DBP and cardiovascular and all-cause mortality during hospitalization and over the follow-up period among this population were analyzed using multivariate COX regression model. Results were presented according to DBP quartiles: Q1, less than 67 mm Hg; Q2, from 67 to 72 mm Hg; Q3, from 73 to 80 mm Hg; and Q4, above 80 mm Hg. Results A total of 6 785 patients were included in this cohort study. Mean (SD) patient age was 74.0 (6.5) years, and 47.6% were women. Mean (SD) follow-up time was 2.54 (1.82) years. A non-linear relation was observed between DBP at admission and cardiovascular and all-cause mortality during hospitalization and over the follow-up period using restricted cubic splines. After adjustment for potential confounders, patients in Q3 or Q2 had lower risk for 2-year cardiovascular death by Cox proportional hazard model compared with patients in Q4 (hazard ratio [HR] 0.66; 95% confidence interval [CI], 0.48–0.90, P=0.010, for Q3 vs Q4; and HR 0.72; 95% CI, 0.53–0.99, P=0.041, for Q2vs Q4), while patients in Q1 had similar risk for cardiovascular death with that of patients in Q4. Meanwhile, when compared with patients in Q1, patients in Q3 had lower risk for 2-year cardiovascular death (HR, 0.72; 95% CI, 0.53–0.97, P=0.033). However, lower or higher admission DBP was not an independent predictor of 2-year all-cause mortality in this population. Conclusion Among patients aged ≥65 years admitted for ACS, there is a J-curve relationship between supine admission DBP and risk for 2-year cardiovascular death, with a nadir at 73–80 mm Hg. Funding Acknowledgement Type of funding sources: Other. Main funding source(s): the Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support Study population and selectionAdjusted multivariate COX regression

Association of the fat-free mass index with mortality in patients with cancer: A multicenter observational study

Objectives: Low fat-free mass index (FFMI) has been related to a higher mortality in community populations. However, information on the relationship between FFMI and mortality is lacking for patients with cancer. The objective of this study was to examine the association between FFMI and all-cause mortality in Chinese cancer patients.Methods: This retrospective analysis included data on 1744 patients with cancer from a multicenter cohort study. The restricted cubic splines were used to flexibly model the association of FFMI with all-cause mortality. The association between low FFMI and overall survival was analyzed with the Kaplan–Meier method and a Cox model.Results: Among all patients, there were 702 men (40.3%) and 1042 women (59.7%). The optimal cutoff point of low FFMI was 16.31 for men and 14.14 for women. The FFMI showed an inverse association with all-cause mortality for men (per standard deviation [SD] increment; hazard ratio [HR]: 0.72; 95% confidence interval [CI], 0.60–0.87; P < 0.001) and a nonlinear relation for women (per SD increment; HR: 0.88; 95% CI, 0.78–0.99; P = 0.048). After adjustment, a low FFMI score was independently associated with an increased risk of mortality for both men and women. In addition, FFMI showed a strong L-shape (per SD increment; HR: 0.59; 95% CI, 0.46–0.76; P < 0.001) relation with all-cause mortality in elderly patients with cancer. For specific tumor type, a low FFMI score was independently associated with worse prognosis in patients with lung and upper gastrointestinal cancer.Conclusions: A low FFMI score was associated with all-cause mortality in patients with cancer, especially for elder adults with cancer. These results highlight the usefulness of the FFMI for routine clinical assessment and prognostic estimation in patients with cancer.