All-cause Mortality In Patients Research Articles

Age-Related Outcomes in Heart Failure with Mildly Reduced Ejection Fraction.

Objective: This study investigates age-related differences and outcomes in patients hospitalized with heart failure with a mildly reduced ejection fraction (HFmrEF). Background: The characterization of patients with HFmrEF and the prognostic value of age has rarely been investigated. Methods: Patients with HFmrEF were retrospectively included at one institution between 2016 and 2022. The distribution of HF aetiology and prognostic outcomes were investigated comparing patients with ≤40, >40 to ≤60, >60 to ≤80, and >80 years of age. The primary endpoint was long-term all-cause mortality. Kaplan-Meier and multivariable Cox proportional regression analyses were applied for statistics. Results: For the present study, 2184 patients with HFmrEF with a median age of 76 years were included. Non-ischemic cardiomyopathy was the most common HF aetiology in patients <40 years of age, whereas patients with 60-80 years of age (60.2%) and >80 years of age (58.2%) had the higher rates of ischemic cardiomyopathies. The risk of long-term all-cause mortality at 30 months was highest in patients with >80 years of age (HR = 2.167; 95% CI 1.928-2.436; p = 0.001), even after multivariable adjustment. Furthermore, patients with >80 years of age had the highest risk of HF-related rehospitalization (HR = 1.529; 95% CI 1.293-1.807; p = 0.001). Conclusions: Ischemic cardiomyopathy represents the most common cause of HF in elderly patients with HFmrEF, whereas younger patients were more likely to suffer from non-ischemic HF aetiologies. Increasing age was an independent predictor of long-term all-cause mortality in patients hospitalized with HFmrEF.

The impact of perioperative transfusions on the oncologic outcomes of patients with ovarian cancer: A population-based study.

The effect of perioperative blood transfusions on long-term oncologic outcomes of patients with advanced ovarian cancer undergoing cytoreductive surgery remains uncertain. Our study aims to determine the association between perioperative blood transfusion and all-cause mortality in this population. Using province-wide administrative databases, patients with advanced ovarian cancer who underwent surgery between 2007 and 2021 as part of first-line treatment were identified. Perioperative transfusion was defined as any transfusion from date of surgery to discharge from hospital. Multivariable Cox proportional hazards regression models were used to determine if there was an independent association of transfusion with all-cause mortality, accounting significant confounders. A total of 5891 patients had cytoreductive surgery for advanced ovarian cancer between 2007 and 2021, of which 2898 (49.2%) had interval cytoreductive surgery (ICS) and 2993 (50.8%) had primary cytoreductive surgery (PCS). Perioperative blood transfusion was given to 37.3% of patients (40.5% ICS and 34.2% PCS). On multivariable analysis, there was an increased hazard of all-cause mortality for patients receiving perioperative transfusion compared to those who did not (hazard ratio: 1.28; 95% CI: 1.20-1.37). The association of increased all-cause mortality was observed starting 1 year after surgery, was sustained thereafter, and seen in both ICS and PCS groups. Perioperative blood transfusion after cytoreductive surgery for ovarian cancer is common in Ontario, Canada and was significantly associated with an increase in all-cause mortality. Blood transfusion is a poor prognostic factor, and the negative impact of blood transfusion persists beyond the immediate postoperative period.

Quality of Life is an Independent Predictor of Mortality in Patients with Heart Failure: A Prospective Cohort Study from the Colombian Heart Failure Registry (RECOLFACA).

Patients with Heart Failure (HF) commonly have poor quality of life (QoL), secondary to the persistence and severity of HF symptoms. We aimed to evaluate the prognostic value of QoL measures on all-cause mortality in patients with HF from the Colombian registry of heart failure (RECOLFACA). We analyzed data from patients registered in RECOLFACA during 2017-2019. QoL was measured using the EuroQol-5D questionnaire (EQ-5D). From the questionnaire, two independent predictors of mortality were obtained, the visual analogue scale (VAS) and the utility score (US). Primary outcome was all-cause mortality, and secondary variables evaluated were demographic factors, comorbidities, NYHA classification, medications used and laboratory test results. To analyze survival among patients, the Kaplan-Meier method and the hierarchical Cox proportional-hazards regression model were used. This study included 2514 patients from RECOLFACA. Most patients were male (57.6%), and mean age was 67.8 years. Mean value and standard deviation (SD) of the VAS score was 78.8 ± 20.1 points, while the mean and SD of the US score was 0.81 ± 0.20. As the Kaplan-Meier curve illustrated, patients in the lower quartiles of both VAS and US scores had a significantly higher probability of mortality (log-rank test: p<0.001 for both scores). QoL, as calculated by the EQ-5D questionnaire, served as an independent predictor of mortality in patients from RECOLFACA. Further studies may be needed to evaluate whether provision of optimizing therapies and follow-up care based on patients' perceived QoL reduces short- and long-term mortality rates in this population.

Association of changes in body composition with all-cause mortality in patients undergoing hemodialysis: A prospective cohort study

ObjectivesThis study aimed to explore the effect of longitudinal body composition changes on mortality risk in patients undergoing hemodialysis and identify whether changes in body composition can more accurately predict mortality than baseline status. MethodsA prospective cohort study was conducted on 340 patients undergoing hemodialysis. Lean mass and body fat were determined using a bioimpedance spectroscopy (BIS) device and expressed as the lean tissue index (LTI) or fat tissue index (FTI), respectively. The patients were subjected to BIS at baseline and after 1 year. The hazard ratio (HR) for death was calculated using Cox regression analysis. ResultsAmong 340 patients, 289 were tested with a repeat BIS. LTI loss and FTI gain were observed in 51.2% and 47.1% of the patients, respectively. Low baseline LTI was a significant predictor of all-cause mortality after adjusting for demographic and biochemical parameters (HR, 2.41; P = 0.047), but not when comorbidities were included in the multivariate analysis. However, after adjusting for various confounding factors, LTI loss (HR, 3.40; P = 0.039) and FTI gain (HR, 4.06; P = 0.024) were independent risk factors for all-cause mortality, and the adjusted HR for LTI loss and FTI gain vs. no LTI loss and no FTI gain was 5.34 (P = 0.016). ConclusionsLTI loss and FTI gain, particularly their combination, are important predictors of survival in patients undergoing hemodialysis. Our results emphasize that longitudinal changes in LTI and FTI are more strongly associated with all-cause mortality than single-point values. Therefore, it is important to dynamically assess the muscle and fat tissues and develop potential targeted treatment strategies for this population.

Predictive value of the triglyceride-glucose index for short- and long-term all-cause mortality in patients with critical coronary artery disease: a cohort study from the MIMIC-IV database

BackgroundTriglyceride-glucose (TyG) index is linked to a poor prognosis for cardiovascular condition and is a valid indicator of insulin resistance. This study evaluated the potential predicting usefulness of the TyG index for all-cause mortality, both short- and long-term, for those concerning critical coronary artery disease (CAD).MethodsIn this study, information from 5452 critically-ill individuals with CAD in intensive care units were gathered from the Medical Information Marketplace in Intensive Care (MIMIC-IV) database. Depending on the TyG index degree, the patients were categorized into three categories. Clinical outcomes included short-term (30-day) and long-term (365-day) all-cause mortality. The corresponding relationships involving the TyG index and clinical outcomes were examined by deploying restricted cubic spline (RCS) regression analysis and Cox proportional risk regression.ResultsAn increased TyG index was associated with increased 30-day (Tertile 1: 6.1%, Tertile 2: 7.3%, Tertile 3: 9.2%, P = 0.001) and 365-day (Tertile 1: 15.2%, Tertile 2: 17.0%, Tertile 3: 19.6%, P = 0.002) death rates across all causes. Cox regression with multiple variables indicates that higher TyG indices were linked to higher all-caused mortality hazard ratios throughout the short and long terms, with a larger predictive value for the former. RCS regression analyses suggested that the risk of death was notably and linearly that is associated with TyG index.ConclusionsThe TyG index is a reliable predictor of all-cause mortality at different stages in critically ill CAD patients, with a higher predictive ability for short-term mortality. Early intervention in patients with elevated TyG index may improve their survival outcomes. Future research should delve into understanding its pathophysiological mechanisms and develop intervention strategies based on the TyG index, providing new insights and strategies to enhance the outlook for critically ill CAD patients.

All-cause mortality risk in long-acting injectable versus oral antipsychotics in schizophrenia: a systematic review and meta-analysis.

Patients with schizophrenia receiving antipsychotic treatment present lower mortality rates than those who do not. However, the non-adherence rate is high, which can be partially addressed using long-acting injectable (LAI) antipsychotics. The impact of LAI treatments on all-cause mortality compared to oral antipsychotics remains unclear. To fill that gap, a random effects meta-analysis was conducted to analyze the odds ratio (OR) of all-cause, suicidal, and non-suicidal mortality among patients taking LAI antipsychotics compared to oral antipsychotics (PROSPERO:CRD42023391352). Individual and pooled LAI antipsychotics were analyzed against pooled oral antipsychotics. Sensitivity analyses were performed for study design, setting, and industry sponsorship. Meta-regressions were conducted for gender, age, antipsychotic dose, and race. Seventeen articles, total sample 12,042 patients (N = 5795 oral, N = 6247 LAI) were included. Lower risk of all-cause mortality for patients receiving LAI antipsychotics vs receiving oral antipsychotics was found (OR = 0.79; 95%CI = 0.66-0.95). Statistical significance was maintained when only studies comparing the same LAI and oral antipsychotic were included (OR = 0.79; 95%CI = 0.66-0.95; p = <0.01), as well as for non-suicidal mortality (OR = 0.77: 95%CI = 0.63-0.94; p = 0.01), but not for suicidal mortality (OR = 0.86; 95%CI = 0.59-1.26; p = 0.44). Mortality reduction was more pronounced for LAI antipsychotics in first-episode psychosis (FEP) (OR = 0.79; 95%CI = 0.66-0.96) compared to chronic psychosis. No individual LAI reported statistically significant differences against all pooled oral antipsychotics. LAI antipsychotics are associated with a lower risk of all-cause and non-suicidal mortality in individuals with schizophrenia compared to oral antipsychotics. Better adherence to the medication and health services may explain this difference. Whenever possible, the use of LAIs should be considered from the FEP.

Paracentral Acute Middle Maculopathy and Risk of Cardiovascular Disease, Stroke, and Death: A Longitudinal Study

To evaluate the risk of acute cardiovascular events (CVE), including cardiovascular diseases, cerebrovascular diseases, and all-cause mortality in patients with paracentral acute middle maculopathy (PAMM). Retrospective cohort study METHODS: We studied 43 individuals with optical coherence tomography -documented PAMM attending Moorfields Eye Hospital between January 2014 and June 2021. We excluded patients with preceding (< 2 years) major adverse cardiac events. We stratified patients by age (<50 years & ≥50 years) and whether associated with retinal vascular diseases (RVD) or isolated (iPAMM). We assessed risk factors, clinical characteristics, and visual prognosis of the patients. CVE risk was estimated using Kaplan-Meier curves, the log-rank test, and Cox proportional hazards regression. In young patients with iPAMM patients (n=12), underlying predisposing factors included six (50%) sickle cell disease and five (41.6%) others, including breakthrough bleeding in pregnancy, migraine, genetic cardiomyopathy, amphetamine use; among those with PAMM+RVD (n=12) one (9%) had a vascular disorder, and four (44.4%) oral contraceptive use. In the older group of 20 patients, 15 (75%) had at least one coronary risk factor. During a median follow-up of 14 months (range 12-54), older subjects with iPAMM had a higher risk of developing CVE than those with PAMM+RVD (p<0.001). Notably, iPAMM displayed a significantly earlier peak in peri-PAMM CVE risk compared to PAMM+RVD (median: 1 month, range 1-40 months vs. 36 months, range 12-54 months). Relative to those with PAMM+RVD, risk of CVE was significantly higher in patients with iPAMM, adjusted for age and sex (hazard ratio: 6.37, 95% Confidence Interval 1.68-24.14, p=0.017). No young patients experienced adverse CVE. At baseline, older iPAMM patients mean best corrected visual acuity of 0.7 (0-1.8) LogMAR, which improved significantly to 0.2 (0-1.30) LogMAR at the latest visit (p=0.033). Young individuals with iPAMM have a higher prevalence of predisposing factors compared to those presenting with combined PAMM+RVD. Older patients with iPAMM had a higher risk of CVE than those with PAMM+RVD, especially in the peri-onset timeframe. This suggests the need for a prompt cardiovascular assessment to rule out systemic etiologies and optimize cardiovascular risk factors, in addition to ongoing ophthalmology input.

Association between cardiovascular health and all-cause mortality risk in patients with osteoarthritis

BackgroundThis study was to explore the relationship between cardiovascular health (CVH) and the risk of all-cause mortality in patients with osteoarthritis (OA).MethodsThis cohort study retrieved the data of 3642 patients with OA aged ≥ 20 years from the 2007—2018 National Health and Nutrition Examination Survey (NHANES). CVH was evaluated based on Life’s Essential 8 (LE8) includes diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure. The outcome of all-cause mortality was assessed using the death certificate records of participants from the National Death Index. Variables that might affect all-cause mortality were used as covariates. The weighted univariate COX proportional hazards model was used to explore the association between each covariate and all-cause mortality. The weighted univariate and multivariate COX proportional hazards models were used to explore the association between different CVH levels and all-cause mortality. A restricted cubic spline (RCS) curve was plotted to show the association between different CVH levels and all-cause mortality in OA patients. Hazard ratio (HR) and 95% confidence interval (CI) were calculated.ResultsFindings show that people with moderate CVH (HR = 0.67, 95% CI = 0.45—0.98) and high CVH (HR = 0.47, 95% CI = 0.26—0.87) were associated with reduced risk of all-cause mortality in patients with OA. The HR of all-cause mortality in patients with OA decreased by 0.12 as per 10 points increase of LE8 score (HR = 0.81, 95% CI = 0.73—0.90). The RCS curve revealed that the HR of all-cause mortality decreased with the increase in LE8 score. The survival probability of patients in the high CVH group was higher than the moderate CVH group and low CVH group (p = 0.002).ConclusionModerate-to-high CVH is associated with a decreased risk of all-cause mortality in patients with OA. These findings might provide a reference for the formulation of prognosis improvement strategies for the management of patients with OA.

Inflammatory burden index: associations between osteoarthritis and all-cause mortality among individuals with osteoarthritis

BackgroundThe newly described inflammatory burden index (IBI) reflects a patient’s inflammatory burden. This study aimed to estimate the association between IBI, osteoarthritis (OA), and all-cause mortality in patients with OA.MethodsWe extracted the data of adults from the National Health and Nutrition Examination Survey database between 1999 and 2018. After using appropriate survey weights to correct for sample bias, we conducted multivariate logistic regression analyses to explore the association between IBI and OA across three models: in the unadjusted model, partially adjusted model (adjusting age, sex, race, education level, marital status, PIR, BMI, smoking status, drinking status, stroke, CVD, DM, and hypertension) and fully adjusted model (which included additional variables: HBA1C, ALT, AST, BUN, TC, and HDL). And the odds ratios (OR) and 95% confidence intervals (CI) were calculated. Similarly, using comparable survey weights and covariates adjustments, we employed Cox proportional hazards regression analysis to investigate the association between IBI and all-cause mortality in the other 3 models. The Cox proportional hazards regression models were fitted to calculate the hazard ratios (HR) and 95% CI of the association between IBI and all-cause mortality. A restricted cubic spline (RCS) was used to explore the nonlinear relationships between association effects. Subgroup analysis was performed to validate the reliability of their effects.ResultsIn total, 22,343 eligible participants were included. Multiple logistic regression models revealed that participants with the highest IBI had 2.54 times (95%CI, 2.23, 2.90)) higher risk of OA than those with the lowest IBI in Model 1, whereas the OR was 1.21 (95%CI, 1.03, 1.42) in Model 2 and 1.23 (95%CI,1.05, 1.45) in Model 3. Multiple Cox regression models showed participants with the highest IBI had 186% (95%CI, 1.50, 2.31) times risk of developing all-cause death than those with the lowest IBI in Model 1. This trend remained stable in Models 2 (HR,1.54; 95%CI,1.22, 1.95) and 3 (HR, 1.41; 95%CI, 1.10, 1.80). The RCS revealed a significant positive association between IBI and OA risk. With respect to the association between IBI and all-cause mortality, a slight decrease in mortality was observed from the lowest quartile to the second quartile of IBI, and the mortality risk increased with increasing IBI. Subgroup analyses showed that age, cardiovascular disease, and hypertension were pivotal in the association of IBI with all-cause mortality, whereas the association of IBI with OA remained stable after stratification by other factors such as sex, race, education level, marital, smoking, and drinking status, hypertension, and most serological indices.ConclusionsThis study provides evidence of a positive association between IBI, OA, and all-cause mortality. IBI may be a promising signature for assessing the inflammatory burden in patients with OA, which, in turn, is conducive to precise references for high-risk population recognition, anti-inflammatory guidance, and reducing mortality intervention.

Association between blood urea nitrogen-to-potassium ratio and 30-day all-cause mortality in patients with non-traumatic subarachnoid hemorrhage

BackgroundThe mortality risk is exceptionally high in non-traumatic subarachnoid hemorrhage (SAH). Elevated blood urea nitrogen (BUN) levels and hypokalemia are prevalent issues in patients with non-traumatic SAH. To explore the correlation between the blood urea nitrogen-to-potassium ratio (BPR) and 30-day all-cause mortality in non-traumatic SAH patients. MethodsWe systematically extracted specific clinical data from the Medical Information Mart for Intensive IV (MIMIC-IV) database. To assess the prognostic relevance of the BPR, we categorized patients into those experiencing in-hospital mortality within 30 days and those surviving, subjecting them to both univariate and multivariate Cox regression analyses. The optimal BPR cut-off value was identified using Receiver Operating Characteristic (ROC) curve analysis, employing the maximum Youden index to predict survival status. Furthermore, we employed Kaplan–Meier (K–M) analysis to illustrate survival curves. ResultsA cohort comprising 608 patients with non-traumatic SAH was enrolled in the investigation. Multivariate Cox regression analysis identified the BPR as an independent predictor of all-cause mortality within 30 days of admission for patients with non-traumatic SAH (Hazard Ratio [HR], 1.13; 95 % Confidence Interval [CI], 1.04–––1.23; P<0.05). Further refinement resulted in the establishment of an optimized prediction model (AUC=83.61 %, 95 % CI: 79.73 % − 87.49 %) for forecasting all-cause mortality at 30 days post-hospital admission in patients with non-traumatic SAH. ConclusionThe BPR emerges as an independent prognostic indicator for all-cause mortality within the initial 30 days of admission among non-traumatic SAH patients.

Long-term mortality risk in obstructive sleep apnea: the critical role of oxygen desaturation index.

Mortality predictors in obstructive sleep apnea (OSA) patients yet to be comprehensively understood, especially within large cohorts undergoing long-term follow-up. We aimed to determine the independent predictors of mortality in OSA patients. In our retrospective cohort study, 3,541 patients were included and survival data was obtained from electronic medical records. Demographic characteristics, anthropometric measurements, comorbidities, laboratory tests, and polysomnography parameters were analyzed for the survived and deceased patient groups. Univariate and multivariate Cox regression analyses were performed to determine independent predictors of all-cause mortality in patients followed for at least 5 years. Among all patients, 2,551 (72%) patients were male, with a mean age of 49.7 years. 231 (6.5%) patients had died. Deceased patients were significantly older and had higher waist-to-hip ratio and Epworth Sleepiness Scale (p < 0.001, p < 0.001, p = 0.003). OSA (nonpositional and not-rapid eye movement-related), periodic limb movements in sleep and Comorbidities of Sleep Apnea Score ≥ 1 were found to be associated with increased mortality (p < 0.001). Systemic immune-inflammation index was also significantly higher in the deceased group (p < 0.001). Higher oxygen desaturation index (ODI) and apnea-hypopnea index (AHI) were associated with increased mortality (p < 0.001). Due to the high correlation between ODI and AHI, two separate multivariate Cox regression models were created. While AHI lost its significance in the multivariate analysis, ODI remained significantly higher in the deceased patient group (HR = 1.007, 1.001-1.013, p = 0.01). ODI, as the only polysomnography parameter, emerged as an independent predictor of mortality in OSA patients.

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

ObjectiveAlthough 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 methodsWe 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 β-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. ResultsDuring 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. ConclusionsFasting 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.

Risk and mediation analyses of hemoglobin glycation index and survival prognosis in patients with sepsis.

An increasing number of studies have reported the close relation of the hemoglobin glycation index (HGI) with metabolism, inflammation, and disease prognosis. However, the prognostic relationship between the HGI and patients with sepsis remains unclear. Thus, this study aimed to analyze the association between the HGI and all-cause mortality in patients with sepsis using data from the MIMIC-IV database. In this study, 2605 patients with sepsis were retrospectively analyzed. The linear regression equation was established by incorporating glycated hemoglobin (HbA1c) and fasting plasma glucose levels. Subsequently, the HGI was calculated based on the difference between the predicted and observed HbA1c levels. Furthermore, the HGI was divided into the following three groups using X-tile software: Q1 (HGI ≤ - 0.50%), Q2 (- 0.49% ≤ HGI ≤ 1.18%), and Q3 (HGI ≥ 1.19%). Kaplan-Meier survival curves were further plotted to analyze the differences in 28-day and 365-day mortality among patients with sepsis patients in these HGI groups. Multivariate corrected Cox proportional risk model and restricted cubic spline (RCS) were used. Lastly, mediation analysis was performed to assess the factors through which HGI affects sepsis prognosis. This study included 2605 patients with sepsis, and the 28-day and 365-day mortality rates were 19.7% and 38.9%, respectively. The Q3 group had the highest mortality risk at 28days (HR = 2.55, 95% CI: 1.89-3.44, p < 0.001) and 365days (HR = 1.59, 95% CI: 1.29-1.97, p < 0.001). In the fully adjusted multivariate Cox proportional hazards model, patients in the Q3 group still displayed the highest mortality rates at 28days (HR = 2.02, 95% CI: 1.45-2.80, p < 0.001) and 365days (HR = 1.28, 95% CI: 1.08-1.56, p < 0.001). The RCS analysis revealed that HGI was positively associated with adverse clinical outcomes. Finally, the mediation effect analysis demonstrated that the HGI might influence patient survival prognosis via multiple indicators related to the SOFA and SAPS II scores. There was a significant association between HGI and all-cause mortality in patients with sepsis, and patients with higher HGI values had a higher risk of death. Therefore, HGI can be used as a potential indicator to assess the prognostic risk of death in patients with sepsis.

"Comment on: Association Between Urate-Lowering Therapy Initiation and All-Cause Mortality in Patients with Type 2 Diabetes and Asymptomatic Hyperuricemia"

"Comment on: Association Between Urate-Lowering Therapy Initiation and All-Cause Mortality in Patients with Type 2 Diabetes and Asymptomatic Hyperuricemia"

Impact of body mass index on mortality outcomes in intensive care patients with Staphylococcus aureus sepsis: A retrospective analysis.

Evidence associating body mass index (BMI) with the prognosis of Staphylococcus aureus sepsis remains scarce. To explore the association between BMI and clinical outcomes in intensive care units patients with Staphylococcus aureus sepsis. A retrospective analysis of patients with Staphylococcus aureus sepsis was conducted using the MIMIC-IV database from the Critical Care Medicine Information. Data were collected within the first 24 hours of intensive care units admission. The primary endpoint was 28-day mortality. The association between BMI and 28-day all-cause mortality was assessed using multivariable logistic regression, subgroup analyses, restricted cubic spline curves and Kaplan-Meier survival analysis. The study included 2,295 patients with an average age of 63.5 (16.1) years, 60.2% of whom were male. Multivariate analysis revealed that each 1 kg/m2 increase in BMI was linked to a 2.8% decrease in the risk of 28-day mortality (adjusted OR = 0.972, 95% CI: 0.955-0.990, P = 0.002). Patients in the medium and high BMI categories had significantly lower risks of 28-day mortality compared to those in the low BMI group (OR [95% CI] 0.650 [0.474-0.891]; OR [95% CI] 0.516 [0.378-0.705]; P trend < 0.0001). The RCS model showed a non-linear association between BMI and 28-day mortality (P = 0.014). Kaplan-Meier analysis showed that patients with elevated BMI had lower 28-day mortality (P < 0.0001). Notably, significant interactions between AKI and SOFA with BMI were observed (P<0.05). Increased BMI is associated with a reduced risk of 28-day all-cause mortality in patients with Staphylococcus aureus sepsis.

Association Between Frequency of Rehabilitation Therapy and Long-Term Mortality After Stroke: A Nationwide Cohort Study.

Previous studies have demonstrated conflicting results regarding the effects of rehabilitation therapy on poststroke mortality. We aimed to investigate the association between rehabilitation therapy, including both inpatient and outpatient treatment, within the first 6 months after stroke and long-term all-cause mortality in patients with stroke using the Korean National Health Insurance System data. A total of 10 974 patients newly diagnosed with stroke using the International Classification of Diseases, Tenth Revision, codes (I60-I64) between 2003 and 2019 were enrolled and followed up for all-cause mortality until 2019. Follow-up for mortality began 6 months after the index event. Poststroke patients were categorized into 3 groups according to the frequency of rehabilitation therapy: no rehabilitation therapy, ≤40 sessions and >40 sessions. Cox proportional hazards models were used to assess the mortality risk according to rehabilitation therapy stratified by disability severity measured based on activities of daily living 6 months after stroke onset. Within 6 months after stroke, 6738 patients (61.4%) did not receive rehabilitation therapy, whereas 2122 (19.3%) received ≤40 sessions and 2114 (19.3%) received >40 sessions of rehabilitation therapy. Higher frequency of rehabilitation therapy was associated with significantly lower poststroke mortality in comparison to no rehabilitation therapy (hazard ratio [HR], 0.88 [95% CI, 0.79-0.99]), especially among individuals with severe disability after stroke (mild to moderate: HR, 1.02 [95% CI, 0.77-1.35]; severe: HR, 0.74 [95% CI, 0.62-0.87]). In the context of stroke type, higher frequency of rehabilitation therapy was associated with reduced mortality rates compared with no rehabilitation therapy only in patients with hemorrhagic stroke (ischemic: HR, 1.04 [95% CI, 0.91-1.18]; hemorrhagic: HR, 0.60 [95% CI, 0.49-0.74]). We found a positive association between rehabilitation therapy within 6 months after stroke onset and long-term mortality in patients with stroke. A higher frequency of rehabilitation therapy would be recommended for poststroke patients, especially those with hemorrhagic stroke and severe disability.

Prognostic impact of peripheral artery disease-related parameters in patients with acute coronary syndrome.

Lower extremity arterial disease (LEAD) and increased aortic stiffness are associated with higher mortality in patients with chronic coronary syndrome, while their prognostic significance after an acute coronary syndrome (ACS) is less known. We analyzed prevalence, clinical phenotypes and association of LEAD - assessed by the ankle-brachial index (ABI) - and increased aortic stiffness - assessed by the aortic pulse wave velocity (PWV) - with all-cause mortality and major adverse cardiovascular events (MACE) in patients admitted with an ACS. Among 270 patients admitted for ACS (mean age 67 years, 80% males), 41 (15%) had an ABI ≤0.9, with 14 of them (34%) presenting with intermittent claudication (symptomatic LEAD). Patients with symptomatic LEAD, compared with those with asymptomatic LEAD or without LEAD, had higher prevalence of cardiovascular risk factors, lower estimated glomerular filtration rate and higher high-sensitivity C-reactive protein. Patients with LEAD, either symptomatic or asymptomatic, more frequently presented with non-ST-elevation myocardial infarction and more frequently had multivessel coronary artery disease. Both symptomatic and asymptomatic LEAD were significantly associated with all-cause mortality after adjustment for confounders, including multivessel disease or carotid artery disease (hazard ratio 4.03, 95% confidence interval 1.61-10.08, P < 0.01), whereas PWV was not associated with the outcome in the univariable model. LEAD and PWV were not associated with a higher risk of MACE (myocardial infarction or unstable angina, stroke, or transient ischemic attack). LEAD, either clinical or subclinical, but not increased aortic stiffness, is an independent predictor of all-cause mortality in patients admitted for ACS.

Association of Cystatin C Level with All-cause Mortality in Patients with Liver Cirrhosis: A Meta-analysis.

Blood cystatin C level has been introduced as a promising biomarker to detect early kidney injury in cirrhotic patients. The purpose of this meta-analysis was to investigate the association of blood cystatin C level with allcause mortality in patients with liver cirrhosis. PubMed, ScienceDirect, and Embase databases were searched from the inception to November 15, 2022. Observational studies evaluating the value of blood cystatin C level in predicting all-cause mortality in patients with ACS were selected. The pooled hazard risk (HR) with 95% confidence intervals (CI) was calculated using a random effect model meta-analysis. Twelve studies with 1983 cirrhotic patients were identified. The pooled adjusted HR of all-cause mortality was 3.59 (95% CI 2.39-5.39) for the high versus low group of cystatin C level. Stratified analysis by study design, characteristics of patients, geographical region, sample size, and length of follow-up further supported the predictive value elevated cystatin C level. Elevated cystatin C level was an independent predictor of poor survival in patients with liver cirrhosis. Detection of blood cystatin C level may provide important prognostic information in cirrhotic patients.

No increased all-cause mortality in patients with genetically verified familial hypercholesterolemia (FH)– An overlooked success story?

No increased all-cause mortality in patients with genetically verified familial hypercholesterolemia (FH)– An overlooked success story?

Association between triglyceride-glucose index and all-cause mortality in patients with atrial fibrillation in the intensive care unit

Association between triglyceride-glucose index and all-cause mortality in patients with atrial fibrillation in the intensive care unit