COVID-19 infection and 2-year mortality in nursing home residents who survived the first wave of the pandemic.

BACKGROUND: During the first COVID-19 pandemic wave (1st CoPW), nursing homes (NHs) experienced a high rate of COVID-19 infection and death. Residents who survived the COVID-19 infection may have become frailer. This study aimed to determine the predictive value of having a COVID-19 infection during the 1st CoPW for 2-year mortality in NH residents. METHODS: This was a retrospective study conducted in three NHs. Residents who had survived the 1st CoPW (March to May 2020) were included. The diagnosis of COVID-19 was based on the results of a positive reverse transcriptase-polymerase chain reaction test. The collected data also included age, sex, length of residence in the NH, disability status, legal guardianship status, nutritional status, need for texture-modified food, hospitalization or Emergency Department visits during lockdown and SARS-COV2 vaccination status during the follow-up. Non-adjusted and adjusted Cox models were used to analyse factors associated with 2-year post-1st CoPW mortality. RESULTS: Among the 315 CoPW1 survivors (72% female, mean age 88 years, 48% with severe disability), 35% presented with COVID-19. Having a history of COVID-19 was not associated with 2-year mortality: hazard ratio (HR) [95% confidence interval] = 0.96 [0.81-1.13], p = 0.62. The factors independently associated with 2-year mortality were older age (for each additional year, HR = 1.05 [1.03-1.08], p < 0.01), severe disability vs. moderate or no disability (HR = 1.35 [1.12-1.63], p < 0.01) and severe malnutrition vs. no malnutrition (HR = 1.29 [1.04-1.60], p = 0.02). Considering that vaccination campaign started during the follow-up, mortality was associated with severe malnutrition before and severe disability after the start of the campaign. Vaccination was independently associated with better survival (HR 0.71 [0.55-0.93], p = 0.02). CONCLUSIONS: Having survived a COVID-19 infection during the 1st CoPW did not affect subsequent 2-year survival in older adults living in NHs. Severe malnutrition and disability remained strong predictor of mortality in this population, whereas vaccination was associated to better survival.

Association of high fibrinogen to albumin ratio with long-term mortality in patients with spontaneous intracerebral hemorrhage.

Background: The association between fibrinogen-to-albumin ratio (FAR) and in-hospital mortality in patients with spontaneous intracerebral hemorrhage (ICH) has been established. However, the association with long-term mortality in spontaneous ICH remains unclear. This study aims to investigate the association between FAR and long-term mortality in these patients. Methods: Our retrospective study involved 3,538 patients who were diagnosed with ICH at West China Hospital, Sichuan University. All serum fibrinogen and serum albumin samples were collected within 24 h of admission and participants were divided into two groups according to the FAR. We conducted a Cox proportional hazard analysis to evaluate the association between FAR and long-term mortality. Results: Out of a total of 3,538 patients, 364 individuals (10.3%) experienced in-hospital mortality, and 750 patients (21.2%) succumbed within one year. The adjusted hazard ratios (HR) showed significant associations with in-hospital mortality (HR 1.61, 95% CI 1.31-1.99), 1-year mortality (HR 1.45, 95% CI 1.25-1.67), and long-term mortality (HR 1.45, 95% CI 1.28-1.64). Notably, the HR for long-term mortality remained statistically significant at 1.47 (95% CI, 1.15-1.88) even after excluding patients with 1-year mortality. Conclusion: A high admission FAR was significantly correlated with an elevated HR for long-term mortality in patients with ICH. The combined assessment of the ICH score and FAR at admission showed higher predictive accuracy for long-term mortality than using the ICH score in isolation.

Stroke Measures Analysis of pRognostic Testing - Mortality (SMART-M) nomogram predicts long-term mortality after ischaemic stroke.

BACKGROUND: Predicting long-term mortality is essential for understanding prognosis and guiding treatment decisions in patients with ischemic stroke. Therefore, this study aimed to develop and validate the method for predicting 1-year and 5-year mortality after ischemic stroke. METHODS: We utilized data from the linked dataset comprising the administrative claims database of the Health Insurance Review and Assessment Service and the Clinical Research Center for Stroke registry data for patients with acute stroke within 7 days of onset. The outcome was all-cause mortality following ischemic stroke. Clinical variables linked to long-term mortality following ischemic stroke were determined. A nomogram was constructed based on the Cox's regression analysis. The performance of the risk prediction model was evaluated using the Harrell's C index. RESULTS: This study included 42,207 ischemic stroke patients, with a mean age of 66.6 years and 59.2% being male. The patients were randomly divided into training (n=29,916) and validation (n=12,291) groups. Variables correlated with long-term mortality in patients with ischemic stroke, including age, sex, body mass index, stroke severity, stroke mechanisms, onset-to-door time, pre-stroke dependency, history of stroke, diabetes mellitus, hypertension, coronary artery disease, chronic kidney disease, cancer, smoking, fasting glucose level, previous statin therapy, thrombolytic therapy such as intravenous thrombolysis and endovascular recanalization therapy, medications, and discharge modified Rankiin Scale were identified as predictors. We developed a predictive system named Stroke Measures Analysis of pRognostic Testing - Mortality (SMART-M) by constructing a nomogram using the identified features. The C-statistics of the nomogram in the developing and validation groups were 0.806 (95% confidence interval [CI], 0.802-0.812) and 0.803 (95% CI, 0.795-0.811), respectively. CONCLUSIONS: The SMART-M method demonstrated good performance in predicting long-term mortality in ischemic stroke patients. This method may help physicians and family members understand the long-term outcomes and guide the appropriate decision-making process.

Insulin-based or non-insulin-based insulin resistance indicators and risk of long-term cardiovascular and all-cause mortality in the general population: A 25-year cohort study.

OBJECTIVE: Although insulin resistance (IR) has been recognized to be a causal component in various diseases, current information on the relationship between IR and long-term mortality in the general population is limited and conclusions varied among different IR indicators and different populations. We aimed to assess associations between different measurements of IR with long-term all-cause mortality and cardiovascular mortality risk for the general population. RESEARCH DESIGN AND METHODS: We included 13,909 individuals from the Third National Health and Nutrition Examination Survey. Mortality was identified via National Death Index information until December 31, 2019. IR was measured using fasting insulin, homeostasis model assessment of IR (HOMA-IR), homeostasis model assessment of ß-cell function, quantitative insulin sensitivity check index (QUICKI), insulin-to-glucose ratio (IGR), triglyceride glucose (TyG) index, TyG-body mass index (TyG-BMI), and hypertriglyceridemic-waist phenotype. RESULTS: During median 25-year follow-up, 5,306 all-cause mortality events occurred. After multivariate adjustment, variables significantly associated with elevated all-cause mortality risk were (hazard ratio [95 % confidence interval]): higher insulin (1.07 [1.02;1.13]); HOMA-IR (1.08 [1.03;1.13]); IGR (1.05 [1.00;1.11]); TyG (1.07 [1.00;1.14]); TyG-BMI (1.24 [1.02;1.51]); lower QUICKI (0.91 [0.86-0.96]). After stratification by diabetes status, higher insulin, HOMA-IR, TyG-BMI and lower QUICKI were significantly associated with increased risk of all-cause mortality in both diabetes and non-diabetes populations (all P for interaction > 0.05). Higher TyG (adjusted HR 1.17 [1.09;1.26], P for interaction = 0.018) and hypertriglyceridemic-waist phenotype (adjusted HR 1.26 [1.08;1.46], P for interaction = 0.047) were significantly associated with increased risk of all-cause mortality in patients with diabetes, however, these associations could not be seen in people without diabetes. Similar results were observed between the above-mentioned IR indicators and cardiovascular death. CONCLUSIONS: Fasting insulin, HOMA-IR, TyG-BMI, and QUICKI may indicate mortality risk in diabetes and non-diabetes populations, with TyG and the hypertriglyceridemic-waist phenotype showing particular relevance for individuals with diabetes. Further studies are needed to validate these findings and determine their broader applicability.

Epicardial fat modifies the relationship between coronary calcium score and all-cause mortality: The St. Francis Heart Study.

Objective: Epicardial fat is associated with cardiovascular risk factors and adverse outcomes. However, it is not clear if epicardial fat remains to be a mortality risk when coronary calcium score (CAC) is taken into account. Methods: We studied the 1005 participants from the St. Francis Heart Study who were apparently healthy with CAC scores at 80th percentile or higher for age and gender, randomly assigned to placebo or statin therapy. At baseline, lipid profiles and non-contrast CT images were obtained where the epicardial fat volume was analyzed. Likelihood ratio testing was used to assess the additional prognostic value of epicardial fat to CAC for the risk of all-cause mortality. Results: Increased epicardial fat volume was associated with higher CAC. For each unit increase in lnCAC, the average epicardial fat volume increased by 3.34 mL/m2. After a mean follow-up period of 17 years, 179 (18%) participants died. Increased epicardial fat volume was associated with an adjusted hazard ratio of 1.11 (95% CI: 1.02 to 1.20) predicting all-cause mortality. In the stratified analysis testing strata of epicardial fat and CAC, those with increased epicardial fat and increased CAC had the highest risk of death. Compared with a model containing lnCAC and traditional risk factors, a model additionally containing epicardial fat volume yielded a better model fit (likelihood ratio test p < 0.001). Conclusion: Increased epicardial fat volume is associated with increased all-cause mortality risk. In addition, it portends incremental prognostic value to CAC score in mortality prediction.

Prognostic value of serum albumin in heart failure patients with cardiac resynchronization therapy.

Aim: There is a lack of data about the association between admission serum albumin levels and long-term mortality in heart failure (HF) patients with cardiac resynchronization therapy defibrillators (CRT-D). We aim to investigate this connection in HF patients with CRT-D. Methods: The study population consisted of 477 HF patients with CRT-D. The cohort was divided into three groups according to albumin values, and the relationship between these groups and long-term mortality were evaluated. Results: Long-term all-cause mortality (HR: 3.32, 95% CI: 2.12-6.84), appropriate (HR: 4.44, 95% CI: 2.44-8.06) and inappropriate (HR: 2.95, 95% CI: 1.88-6.02) shocks were higher in the low albumin group. Conclusion: Low albumin levels are associated with the long-term mortality and appropriate shock treatment in HF patients with CRT-D.

[Box: see text].

Mortality and COVID Infection: Predictors of Mortality 10 Months after Discharge.

BACKGROUND: The long-term survival of patients hospitalized with COVID-19 and the factors associated with poorer survival months after infection are not well understood. The aims of the present study were to analyze the overall mortality 10 months after admission. METHODS: 762 patients with COVID-19 disease were included. Patients underwent a complete clinical evaluation, routine laboratory analysis and chest X-ray. Data collected included demographic and clinical data, such as vascular risk factors, tobacco or alcohol use, comorbidity, and institutionalization. RESULTS: Ten-month mortality was 25.6%: 108 deaths occurred in-hospital, while 87 patients died after discharge. In-hospital mortality was independently related to NT-proBNP values > 503.5 pg/mL [OR = 4.67 (2.38-9.20)], urea > 37 mg/dL [3.21 (1.86-7.31)] and age older than 71 years [OR = 1.93 (1.05-3.54)]. NT-proBNP values > 503.5 pg/mL [OR = 5.00 (3.06-8.19)], urea > 37 mg/dL [3.51 (1.97-6.27)], cognitive impairment [OR = 1.96 (1.30-2.95), cancer [OR = 2.23 (1.36-3.68), and leukocytes > 6330/mm3 [OR = 1.64 (1.08-2.50)], were independently associated with long-term mortality. CONCLUSIONS: the risk of death remains high even months after COVID-19 infection. Overall mortality of COVID-19 patients during 10 months after hospital discharge is nearly as high as that observed during hospital admission. Comorbidities such as cancer or cognitive impairment, organ dysfunction and inflammatory reaction are independent prognostic markers of long-term mortality.

Long-term survival of traumatic brain injury and intra-cerebral haemorrhage patients: A multicentric observational cohort.

PURPOSE: Mortality is often assessed during ICU stay and early after, but rarely at later stage. We aimed to compare the long-term mortality between TBI and ICH patients. MATERIALS AND METHODS: From an observational cohort, we studied 580 TBI patients and 435 ICH patients, admitted from January 2013 to February 2021 in 3 ICUs and alive at 7-days post-ICU discharge. We performed a Lasso-penalized Cox survival analysis. RESULTS: We estimated 7-year survival rates at 72.8% (95%CI from 67.3% to 78.7%) for ICH patients and at 84.9% (95%CI from 80.9% to 89.1%) for TBI patients: ICH patients presenting a higher mortality risk than TBI patients. Additionally, we identified variables associated with higher mortality risk (age, ICU length of stay, tracheostomy, low GCS, absence of intracranial pressure monitoring). We also observed anisocoria related with the mortality risk in the early stage after ICU stay. CONCLUSIONS: In this ICU survivor population with a prolonged follow-up, we highlight an acute risk of death after ICU stay, which seems to last longer in ICH patients. Several variables characteristic of disease severity appeared associated with long-term mortality, raising the hypothesis that the most severe patients deserve closer follow-up after ICU stay.

Long-Term Mortality in Very Old Survivors of COVID-19.

OBJECTIVES: This report aimed to describe mortality at 18 months in older survivors of the first wave of COVID-19. DESIGN: Observational cohort study. SETTING AND PARTICIPANTS: Patients aged ≥65 years hospitalized for COVID-19 in the acute geriatric wards of 2 centers. METHODS: Characteristics of deceased and survivors were compared by Fisher exact, Mann-Whitney U, or 2-tailed t tests. Survival rates were analysed by Cox proportional hazards regression models. RESULTS: Of a total of 323 patients admitted during the first wave, 196 survived the acute phase, with 34 patients who died in the 18 months after hospital discharge (17.3%). Higher mortality was observed in patients living in nursing homes (P = .033) and in those who were hospitalized after discharge during the follow-up period (97.1% vs 72.8%, P = .001). There was no difference in survival curves according to age, sex, presence of dyspnea, and dementia. Living in a nursing home significantly increased the mortality rates in the multivariate model adjusted for age and sex (hazard ratio 3.07, 95% CI 1.47-6.40; P = .007). CONCLUSIONS AND IMPLICATIONS: No excess mortality was observed during 18 months in older survivors of COVID-19. Living in a nursing home was associated with decreased survival rates.

A Comparison of the Clinical Characteristics of Short-, Mid-, and Long-Term Mortality in Patients Attended by the Emergency Medical Services: An Observational Study.

AIM: The development of predictive models for patients treated by emergency medical services (EMS) is on the rise in the emergency field. However, how these models evolve over time has not been studied. The objective of the present work is to compare the characteristics of patients who present mortality in the short, medium and long term, and to derive and validate a predictive model for each mortality time. METHODS: A prospective multicenter study was conducted, which included adult patients with unselected acute illness who were treated by EMS. The primary outcome was noncumulative mortality from all causes by time windows including 30-day mortality, 31- to 180-day mortality, and 181- to 365-day mortality. Prehospital predictors included demographic variables, standard vital signs, prehospital laboratory tests, and comorbidities. RESULTS: A total of 4830 patients were enrolled. The noncumulative mortalities at 30, 180, and 365 days were 10.8%, 6.6%, and 3.5%, respectively. The best predictive value was shown for 30-day mortality (AUC = 0.930; 95% CI: 0.919-0.940), followed by 180-day (AUC = 0.852; 95% CI: 0.832-0.871) and 365-day (AUC = 0.806; 95% CI: 0.778-0.833) mortality. DISCUSSION: Rapid characterization of patients at risk of short-, medium-, or long-term mortality could help EMS to improve the treatment of patients suffering from acute illnesses.

Prognostic impact of plasma volume status during hospital admission in patients with acute decompensated heart failure.

AIMS: Plasma volume status (PVS), a measure of plasma volume, has been evaluated as a prognostic marker for chronic heart failure. Although the prognostic value of PVS has been reported, its significance in patients with acute decompensated heart failure (ADHF) admitted to the cardiovascular intensive care unit (CICU) remains unclear. In this study, we examined the relationship between PVS and long-term mortality in patients with ADHF admitted to the CICU. METHODS: Between January 2018 and December 2020, 363 consecutive patients with ADHF were admitted to the Nippon Medical School Hospital CICU. Of the 363 patients, 206 (mean age, 74.9 ± 12.9 years; men, 64.6%) were enrolled in this study. Patients who received red blood cell transfusions, underwent dialysis, were discharged from the CICU or died in the hospital were excluded from the study. We measured the PVS of the patients at admission, transfer to the general ward (GW) and discharge using the Kaplan-Hakim formula. The patients were assigned to four groups according to the quartiles of their PVS measured at each of the three abovementioned timepoints. We examined the association between PVS and all-cause mortality during the observation period (1134 days). The primary endpoint of this study was all-cause mortality. RESULTS: The Kaplan-Meier analysis showed that the high PVS group had a significantly higher mortality rate at admission, transfer to the GW and discharge than the other groups (log-rank test: P = 0.016, P = 0.005 and P < 0.001, respectively). Univariate Cox regression analysis showed that age, body mass index, history of heart failure, use of beta-blockers, albumin level, blood urea nitrogen level, N-terminal pro-brain natriuretic peptide level and left ventricular ejection fraction were significantly different among the PVS groups and thus were not significant prognostic factors for ADHF. Furthermore, the multivariate analysis revealed that PVS at discharge [hazard ratio (HR) = 1.06 (1.00-1.12), P = 0.048] was an independent poor prognostic factor for ADHF. CONCLUSIONS: This study highlights the effect of PVS measured at different timepoints on the prognoses of ADHF patients. Regular assessment of PVS, particularly at discharge, is crucial for optimising patient management and achieving favourable outcomes in cases of ADHF.

Serum Albumin and Post-Stroke Outcomes: Analysis of UK Regional Registry Data, Systematic Review, and Meta-Analysis.

Hypoalbuminemia associates with poor acute ischemic stroke (AIS) outcomes. We hypothesised a non-linear relationship and aimed to systematically assess this association using prospective stroke data from the Norfolk and Norwich Stroke and TIA Register. Consecutive AIS patients aged ≥40 years admitted December 2003-December 2016 were included. Outcomes: In-hospital mortality, poor discharge, functional outcome (modified Rankin score 3-6), prolonged length of stay (PLoS) > 4 days, and long-term mortality. Restricted cubic spline regressions investigated the albumin-outcome relationship. We updated a systematic review (PubMed, Scopus, and Embase databases, January 2020-June 2023) and undertook a meta-analysis. A total of 9979 patients were included; mean age (standard deviation) = 78.3 (11.2) years; mean serum albumin 36.69 g/L (5.38). Compared to the cohort median, albumin < 37 g/L associated with up to two-fold higher long-term mortality (HRmax; 95% CI = 2.01; 1.61-2.49) and in-hospital mortality (RRmax; 95% CI = 1.48; 1.21-1.80). Albumin > 44 g/L associated with up to 12% higher long-term mortality (HRmax1.12; 1.06-1.19). Nine studies met our inclusion criteria totalling 23,597 patients. Low albumin associated with increased risk of long-term mortality (two studies; relative risk 1.57 (95% CI 1.11-2.22; I2 = 81.28)), as did low-normal albumin (RR 1.10 (95% CI 1.01-1.20; I2 = 0.00)). Strong evidence indicates increased long-term mortality in AIS patients with low or low-normal albumin on admission.

Ten-year mortality after treating obstructive coronary atherosclerosis with contemporary stents in patients with or without concomitant peripheral arterial disease.

BACKGROUND AND AIMS: Previous studies in percutaneous coronary intervention (PCI) patients showed a higher 3-year adverse event risk, including all-cause mortality, in those with concomitant peripheral arterial disease (PADs). Ten-year data of mortality and causes of death are scarce. This analysis assessed PCI patients, treated with contemporary drug-eluting stents, the impact of concomitant PADs on very long-term mortality, and causes of death. METHODS: We assessed PCI all-comers from our center who participated in the TWENTE and DUTCH PEERS trials (clinicaltrials.gov:NCT01066650, NCT01331707), comparing patients with versus without PADs. Life status was checked in the Dutch Personal Records Database; causes of death were obtained from medical records. RESULTS: Of 2705 study patients, 668 (24.7%) died during follow-up: 88/212 (41.5%) patients with PADs and 580/2493 (23.1%) without PADs. In PADs patients, the 10-year rate of all-cause mortality was about twice as high as in patients without PADs (41.5% vs.23.1%, HR: 2.05, 95%-CI: 1.64-2.57, p<0.001). For both groups, the rates of patients dying from various causes of death were: cardiac (14.1% vs.6.8%), vascular (2.8% vs. 1.1%), non-cardiovascular (17.4% vs. 9.8%), and unclear causes (7.1% vs. 5.3%), without a statistically significant between-group difference. When multivariate analysis was adjusted for between-group differences in cardiovascular risk profile, PADs remained predictor of all-cause mortality (adjusted HR: 1.38, 95%-CI: 1.08-1.75, p=0.01). CONCLUSIONS: The 10-year all-cause mortality rate in PCI patients with concomitant PADs was almost twice as high as in those without PADs. Age and other traditional cardiovascular risk factors were higher in patients with PADs, but after correction for these confounders PADs still accounted for almost 40% increase in mortality.

A historical cohort study on predictors for successful weaning from prolonged mechanical ventilation and up to 3-year survival follow-up in a rehabilitation center.

BACKGROUND: We followed prolonged mechanically ventilated (PMV) patients for weaning attempts and explored factors associated with successful weaning and long-term survival. METHODS: This historical cohort study included all adult PMV patients admitted to a single rehabilitation hospital during 2015-2018 and followed for survival according to weaning success up to 3 years or the end of 2021. RESULTS: The study included 223 PMV patients. Of them, 124 (55.6 %) underwent weaning attempts, with 69 (55.6 %) successfully weaned, 55 (44.4 %) unsuccessfully weaned, and 99 patients with no weaning attempts. The mean age was 67 ± 20 years, with 39 % female patients. Age, sex distributions and albumin levels at admission were not significantly different among the groups. The successful weaning group had a 6 % higher proportion of conscious patients than the failed weaning group (55 % vs. 49 %, respectively, p = 0.45). Patients successfully weaned were less frequently treated with antibiotics for 5 days or more than those unsuccessfully weaned (74 % vs 80 %, respectively, p = 0.07). They also had a lower proportion of time from intubation to tracheostomy greater than 14 days (45 % vs 66 %, p = 0.02). The age, sex, antibiotic treatment, time to tracheostomy exceeding 14 days and time from admission to first weaning attempt adjusted one-year mortality risk of successful vs. failed weaning was somewhat lower, HR = 0.75, 95%CI: 0.33-1.60, p = 0.45, with the same trend by the end of 3 years, HR = 0.77, 95%CI: 0.42-1.39, p = 0.38. CONCLUSION: Successful weaning from PMV may be associated with better survival and allows chronically ventilated patients to become independent on a ventilator. A larger study is needed to further validate our findings.

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

Background: The Naples prognostic score (NPS), which reflects the inflammatory and nutritional status of patients, is often used to determine prognosis in cancer patients. The aim of this study was to determine the long-term prognostic value of the NPS in acute pulmonary embolism (APE) patients. Methods: Two hundred thirty-nine patients diagnosed with APE were divided into two groups according to their NPS, and long-term mortality was compared. Results: The long-term mortality was observed in 38 patients out of 293 patients in the mean follow-up of 24 months. Multivariate analysis showed that NPS as a categorical parameter and NPS as a numeric parameter were independent predictors of long-term mortality. Conclusion: This study highlights that NPS may have the potential to predict long-term mortality in APE patients.

[Box: see text].

Associations Between Metabolic Syndrome and Long-Term Mortality in Patients who underwent Percutaneous Coronary Intervention: An Australian Cohort Analysis.

Metabolic syndrome (MetS) provides significant risk for coronary disease, however long-term prognosis after percutaneous coronary intervention (PCI) has been understudied. We assessed the prevalence and outcomes of patients with MetS from an Australian PCI cohort. We retrospectively examined data from the Melbourne Interventional Group multicenter PCI registry using a modified definition for MetS including ≥3 of the following: hypertension, diabetes mellitus, dyslipidemia, and body mass index ≥30 kg/m2. Thirty-day outcomes and long-term mortality were compared with patients without MetS. Cox regression methods were used to assess the multivariable effect of MetS on long-term mortality. Of 41,146 patients, 12,228 (34%) had MetS. Patients with MetS experienced greater 30-day myocardial infarction (2.2% vs 1.8%, p = 0.013), whereas patients without MetS had a trend for greater 30-day mortality (3.0% vs 3.4%, p = 0.051) and greater in-hospital major bleeding (1.7% vs 2.4%, p <0.001). After a median follow-up of 5.62 years (Q1 2.03, Q3 8.89), patients with MetS experienced greater mortality (24% vs 19%, p <0.001). After adjustment, MetS was not an independent predictor of long-term mortality (hazard ratio 0.95 confidence interval 0.86 to 1.05, p = 0.35). In sensitivity analyses, MetS-Diabetic patients had the highest, and MetS-NonDiabetic obese patients had the lowest long-term mortality. One in 3 patients who underwent all-comer PCI presented with MetS and experienced greater long-term mortality compared with others. However, this association was lost after adjustment for baseline confounders, highlighting that MetS is a marker of risk after PCI. Our findings support the obesity paradox and confirm robust associations between diabetes mellitus and long-term mortality.

Comparison of surgical and conservative treatment outcomes for type a aortic intramural hematoma.

OBJECTIVE: This study aimed to compare hospital and long-term clinical outcomes associated with various treatment methods for Stanford A type aortic intramural hematoma (IMH) to provide a reference for clinical decision-making. METHODS: In this single-center cohort study, we retrospectively analyzed 73 patients with Type A IMH treated at our center from August 1, 2018 to August 1, 2021. Among these patients, 26 were treated conservatively, and 47 underwent surgical intervention. We next compared this IMH cohort with 154 patients with acute type A aortic dissection (AD) who were treated surgically during the same study period. RESULTS: Computed tomography angiography revealed that the diameter of the ascending aorta of IMH patients treated with surgery was higher than IMH patients treated with conservative therapy (44.92 ± 7.58 mm vs. 51.22 ± 11.85 mm, P < 0.05), while there was no significant difference in other clinical parameters. The in-hospital mortality of patients with IMH who underwent surgical treatment was lower than those undergoing conservative treatment (0% vs. 11.5%, P < 0.05). The long-term mortality of the conservative IMH group was higher than the surgical IMH group (26.1% vs. 8.5%, P < 0.05). There was no significant difference in the surgical parameters and postoperative complications between AD and IMH surgery patients. The proportion of circulatory arrest time in the lower body (19.98 ± 9.39 min vs. 17.51 ± 3.97 min) and arch involvement (98 (63.6%) vs. 22 (46.8%)) in the IMH surgery group was lower than in the AD surgery group (P < 0.05). CONCLUSIONS: Compared with conservative treatment, surgical treatment of IMH significantly improves the survival rate of patients. Thus, surgical intervention should be considered the primary treatment option if feasible. Furthermore, The safety of IMH surgery can be guaranteed just like AD. But we still need in the future evidence on bigger samples.

Life Expectancy of Patients Undergoing Total Knee Arthroplasty: Comparison With General Population.

BACKGROUND: This study aimed to analyze the life expectancy and cause of death in osteoarthritis (OA) patients who underwent total knee arthroplasty (TKA) and to identify risk factors that affect long-term mortality rate after TKA. METHODS: Among 601 patients, who underwent primary TKA due to OA by a single surgeon from July 2005 to December 2011, we identified patients who died after the operation using data obtained from the National Statistical Office of Korea. We calculated 5-, 10-, and 15-year survival rates of the patients and age-specific standardized mortality ratios (SMRs) compared to general population of South Korea according to the causes of death. We also identified risk factors for death. RESULTS: The 5-year, 10-year, and 15-year survival rates were 94%, 84%, and 75%, respectively. The overall age-specific SMR of the TKA cohort was lower than that of the general population (0.69; P < 0.001). Cause-specific SMRs for circulatory diseases, neoplasms, and digestive diseases after TKA were significantly lower than those of the general population (0.65, 0.58, and 0.16, respectively; all P < 0.05). Male gender, older age, lower body mass index (BMI), anemia, and higher Charlson comorbidity index (CCI) were significant factors associated with higher mortality after TKA. CONCLUSION: TKA is a worthwhile surgery that can improve life expectancy, especially from diseases of the circulatory system, neoplasms, and digestive system, in patients with OA compared to the general population. However, careful follow-up is needed for patients with male gender, older age, lower BMI, anemia, and higher CCI, as these factors may increase long-term mortality risk after TKA. LEVEL OF EVIDENCE: III.

Association of non-HDL-C/apoB ratio with long-term mortality in the general population: A cohort study.

Background: In general, the identification of cholesterol-depleted lipid particles can be inferred from non-high-density lipoprotein cholesterol (non-HDL-C) concentration to apolipoprotein B (apoB) concentration ratio, which serves as a reliable indicator for assessing the risk of cardiovascular disease. However, the ability of non-HDL-C/apoB ratio to predict the risk of long-term mortality among the general population remains uncertain. The aim of this study is to explore the association of non-HDL-C/apoB ratio with long-term all-cause and cardiovascular mortality in adults of the United States. Methods: This retrospective cohort study was a further analysis of existing information from the National Health and Nutrition Examination Survey (NHANES). In the ultimate analysis, 12,697 participants from 2005 to 2014 were included. Kaplan-Meier (K-M) curves and the log-rank test were applied to visualize survival differences between groups. Multivariate Cox regression and restricted cubic spline (RCS) models were applied to evaluate the association of non-HDL-C/apoB ratio with all-cause and cardiovascular mortality. Subgroup analysis was conducted for the variables of age, sex, presence of coronary artery disease, diabetes and hypertriglyceridemia and usage of lipid-lowering drugs. Results: The average age of the cohort was 46.8 ± 18.6 years, with 6215 (48.9%) participants being male. During a median follow-up lasting 68.0 months, 891 (7.0%) deaths were documented and 156 (1.2%) patients died of cardiovascular disease. Individuals who experienced all-cause and cardiovascular deaths had a lower non-HDL-C/apoB ratio compared with those without events (1.45 ± 0.16 vs. 1.50 ± 0.17 and 1.43 ± 0.17 vs. 1.50 ± 0.17, both P values < 0.001). The results of adjusted Cox regression models revealed that non-HDL-C/apoB ratio exhibited independent significance as a risk factor for both long-term all-cause mortality [hazard ratio (HR) = 0.51, 95% confidence interval (CI): 0.33-0.80] and cardiovascular mortality (HR = 0.33, 95% CI: 0.12-0.90). Additionally, a significant sex interaction was discovered (P for interaction <0.05), indicating a robust association between non-HDL-C/apoB ratio and long-term mortality among females. The RCS curve showed that non-HDL-C/apoB ratio had a negative linear association with long-term all-cause and cardiovascular mortality (P for non-linearity was 0.098 and 0.314). Conclusions: The non-HDL-C/apoB ratio may serve as a potential biomarker for predicting long-term mortality among the general population, independent of traditional risk factors.

Rate-Pressure Product is a Novel Predictor for Short- and Long-Term Mortality in Patients with Acute Coronary Syndrome Undergoing Primary PCI/Immediate Invasive Strategy.

Background: Rate-pressure product (RPP) calculated by multiplying heart rate by systolic blood pressure, is a convenient indicator closely associated with cardiac work or myocardial oxygen consumption. It has been reported to relate strongly to important indices of cardiovascular risk in patients with myocardial ischemia. However, its relationship with short- and long-term mortality in patients with acute coronary syndrome (ACS) undergoing primary PCI/immediate invasive strategy has not been defined. Methods: This study analyzed 1301 consecutive ACS patients who had undergone primary PCI, between January 2018 and September 2021. Patients with systolic BP < 90 mmHg were excluded to avoid the confounding effect of cardiogenic shock. RPP values were collected on admission and were divided into four groups: RPP ≤ 7.4, 7.4 ≤ 8.8, 8.8 <8.8 < RPP8, and RPP > 10.8. Clinical endpoints were in-hospital cardiac and long-term all-cause mortality. The predictive performance was assessed by C-statistic, multivariate analysis and survival analysis. Results: Multivariate analysis showed that these in the highest vs lowest category of RPP (>10.8 vs ≤7.4) had OR of 4.33 (95% CI=1.10 -17.01; P = 0.036) in in-hospital cardiac mortality and 3.15 (95% CI=1.24 -8.00; P = 0.016) in long-term all-cause mortality. In C-statistic analyses, RPP was a strong predictor in ACS, STEMI or UA/NSTEMI group for in-hospital cardiac mortality (AUC = 0.746, 95% CI = 0.722-0.770, p < 0.001) and long-term all-cause mortality (AUC = 0.701, 95% CI = 0.675-0.725, p < 0.001). The Kaplan-Meier event rate for long-term survival of RPP > 10.8 was significantly lower than that of RPP ≤ 10.8. Conclusion: RPP showed a positive association with in-hospital cardiac or long-term all-cause mortality in ACS patients undergoing primary PCI/immediate invasive strategy, and RPP > 10.8 can be as an independent predictor.