All-cause Mortality In Patients Research Articles

A cross-sectional study of the association between blood cadmium and mortality among adults with myocardial infarction.

Cadmium (Cd) plays a key role in the occurrence of myocardial infarction (MI). We aimed to explore the association between blood Cd levels and all-cause mortality of MI on the basis of the National Health and Nutrition Examination Survey databases. This study included 800 adults with MI to obtain blood Cd concentrations and their follow-up information. The association between Cd concentrations and mortality was analyzed using Cox regression, restricted cubic spline (RCS) models, mediation analysis, receiver operating characteristic curve, and Kaplan-Meier curves. All the patients were divided into 4 groups according to the quartiles of blood Cd levels (Q1, Q2, Q3, and Q4). Cox regression analysis with adjustment for covariates indicated that Cd was the promoting factor of mortality, and patients with higher Cd had a higher death risk. The RCS model indicated an "inverted checkmark" shaped correlation between Cd levels and mortality, and a turning point of 1.06 μg/L was found. A significant positive correlation was observed on the left of the turning point. Grouped patients by turning point into 2 groups, Kaplan-Meier analysis showed that the low-concentration group had a lower death risk than the high-concentration group. Subgroup analysis revealed that the prognostic effect of Cd was more pronounced in patients with former smoking history, and receiver operating characteristic curve showed that blood Cd had a better-predicting function in patients with MI. Blood Cd levels were significantly related to all-cause mortality in patients with MI, especially in patients with Cd < 1.06 μg/L.

Effect of targeted temperature management on systemic inflammatory responses after out-of-hospital cardiac arrest: A prospective cohort study.

Interleukin (IL)-6 is a major inflammatory cytokine that predicts mortality after out-of-hospital cardiac arrest (OHCA). Targeted temperature management (TTM) is associated with improved all-cause mortality in patients with OHCA. However, the effect of TTM on IL-6 production remains unclear. This study investigated whether TTM has additional anti-inflammatory effects after OHCA. This prospective cohort study included a total of 141 hospitalized patients with OHCA who were treated between January 2015 and June 2023. The study was conducted in the intensive care unit of China Medical University Hospital, Taichung. Postcardiac arrest care included TTM or the control approach (no TTM). The primary outcomes included the 90-day mortality rate and neurologic outcomes after OHCA. Differences between the TTM and control groups were examined using Student t test, chi-square test, and Kaplan-Meier survival curve analysis. Multivariate analysis of variance model was used to examine interaction effects. Plasma IL-6 and IL-6/soluble IL-6 receptor complex levels were measured at 6 and 24 hours after resuscitation. IL-6 and IL-6/soluble IL-6 receptor complex production was lower in the TTM group than in the control group (-50.0% vs +136.7%, P < .001; +26.3% vs +102.40%, P < .001, respectively). In addition, the 90-day mortality rate and poor neurologic outcomes were lower in the TTM group than in the control group (36.8% vs 63.0%, relative risk 0.39, 95% confidence interval 0.24-0.64, P < .001; 65.5% vs 81.5%, relative risk 0.80, 95% confidence interval 0.66-0.98, P = .04). TTM improves both the mortality rate and neurologic outcomes in patients resuscitated from OHCA, possibly by reducing IL-6-induced proinflammatory responses.

Gut Microbiota in Patients Receiving Dialysis: A Review.

The human gut microbiota constitutes a complex community of microorganisms residing within the gastrointestinal tract, encompassing a vast array of species that play crucial roles in health and disease. The disease processes involved in chronic kidney disease (CKD) and end-stage kidney disease (ESKD) are now increasingly established to result in dysregulation of gut microbiota composition and function. Gut microbiota dysbiosis has been associated with poor clinical outcomes and all-cause mortality in patients with ESKD, particularly individuals receiving dialysis. Prior studies highlighted various factors that affect gut microbiota dysbiosis in CKD and ESKD. These include, but are not limited to, uraemic toxin accumulation, chronic inflammation, immune dysfunction, medications, and dietary restrictions and nutritional status. There is a lack of studies at present that focus on the evaluation of gut microbiota dysbiosis in the context of dialysis. Knowledge on gut microbiota changes in this context is important for determining their impact on dialysis-specific and overall outcomes for this patient cohort. More importantly, evaluating gut microbiota composition can provide information into potential targets for therapeutic intervention. Identification of specific microbial signatures may result in further development of personalised treatments to improve patient outcomes and mitigate complications during dialysis. Optimising gut microbiota through various therapeutic approaches, including dietary adjustments, probiotics, prebiotics, medications, and faecal transplantation, have previously demonstrated potential in multiple medical conditions. It remains to be seen whether these therapeutic approaches are effective within the dialysis setting. Our review aims to evaluate evidence relating to alterations in the gut microbiota of patients undergoing dialysis. A growing body of evidence pointing to the complex yet significant relationship which surrounds gut microbiota and kidney health emphasises the importance of gut microbial balance to improve outcomes for individuals receiving dialysis.

Allostatic Load, Genetic Susceptibility, Incidence Risk, and All-cause Mortality of Colorectal Cancer.

Allostatic load (AL) reflects the cumulative burden of chronic stress throughout life, potentially influencing the onset and prognosis of cancer. However, the associations between AL, colorectal cancer (CRC) risk and all-cause mortality in patients with CRC remain unclear. We analyzed the association between AL and CRC risk in 304,959 adults and all-cause mortality in 1,794 patients with CRC from the UK Biobank, using Cox proportional hazards regression models. Compared to the AL level in the first quartile, individuals in the second to fourth quartiles had a respective 20%, 29%, and 43% increased risk of CRC; 15%, 24%, and 42% increased risk for colon cancer; and 30%, 38%, and 45% increased risk for rectal cancer. We identified a positive dose-gradient association of AL score with CRC risk, including colon and rectal cancer. Additionally, the association between AL and increased risk of CRC was observed across different strata of genetic susceptibility for CRC. Eliminating AL exposures could prevent nearly 39.24% (95% CI: 36.16-42.32) of CRC incident cases. Meanwhile, a significant association between the AL and all-cause mortality in patients with CRC was found, with a HR of 1.71 (95% CI: 1.16-2.50) for the fourth quartile compared to the AL score in the first quartile, demonstrating a positive dose-response relationship. High AL was associated with increased CRC risk and all-cause mortality in CRC patients. Future research should prioritize the development of cognitive or behavioral intervention strategies to mitigate the adverse effects of AL on CRC incidence and prognosis.

Socioeconomic Deprivation Weighs Heavily on Liver Fibrosis and Mortality After Hepatitis C Cure (ANRS CO22Hepather).

Although Hepatitis C virus (HCV) infection can be cured with direct-acting antivirals (DAA), some cured patients face a serious risk of advanced liver damage and early mortality. In order to avoid these two negative health outcomes, it is important to identify and assess related risk factors. Little is currently known about socioeconomic and behavioural factors in this context. Using data from the ANRS CO22 Hepather cohort, we tested for associations between socioeconomic and behavioural factors and (i) advanced liver fibrosis (defined as an FIB-4 > 3.25) assessed longitudinally using a mixed-effects logistic regression model (both the whole population and stratified on advanced liver fibrosis status at the time of HCV cure) and (ii) all-cause mortality (Cox proportional hazards model), during post-HCV cure follow-up. Among 5833 participants cured of HCV, living in poverty was associated with postcure advanced liver fibrosis in participants without this diagnosis at the time of HCV cure (population attributable fraction-PAF-of 8.6%) and with mortality in the whole study population (PAF of 10.6%). The detrimental effects of unhealthy alcohol use and heavy tobacco smoking, as well as the beneficial effect of living with a stable partner were also highlighted. We highlighted the major role of poverty and behavioural factors in advanced liver fibrosis and all-cause mortality in patients cured of HCV. Encouraging linkage to social support services and healthy behaviours after successful DAA treatment could limit morbidity and increase survival in this population. Clinical Trial Registration: ClinicalTrials.gov: NCT01953458.

Impact of Cognitive Impairment on Long-Term Outcomes After Transcatheter Aortic Valve Implantation.

Cognitive impairment assessed using the Mini-Mental Status Examination (MMSE) is associated with short-term mortality after transcatheter aortic valve implantation (TAVI). We assessed the long-term prognostic impact of cognitive impairment in patients with severe aortic stenosis post-TAVI. We enrolled 1,057 consecutive patients who underwent TAVI at the Kokura Memorial Hospital and prospectively assessed them using the MMSE. Results showed that 319 (30%) patients had cognitive impairment. Compared with normal cognition, cognitive impairment was associated with an increased risk for 5-year all-cause mortality (55% vs. 39%; P<0.001), cardiovascular mortality (23% vs. 14%; P=0.007), and non-cardiovascular mortality (42% vs. 29%; P<0.001). Multivariable analysis showed that cognitive impairment was independently associated with all-cause mortality (adjusted hazard ratio [aHR] 1.37; 95% confidence interval [CI] 1.10-1.70; P=0.005), and this result was consistent regardless of stratification based on age, sex, body mass index, left ventricular ejection fraction and clinical frailty scale without significant interaction. Patients with MMSE scores <16 had a significantly higher mortality rate compared with patients with MMSE scores >25, 21-25, and 16-20, respectively. Cognitive impairment assessed using MMSE scores is independently associated with an increased risk for 5-year all-cause mortality in patients undergoing TAVI.

Association of hepatitis delta virus infection and hepatocellular carcinoma, hepatic decompensation, all-cause and liver-related death in a national cohort.

Hepatitis Delta Virus (HDV) infection is the most severe form of chronic hepatitis. However, studies on outcomes and causes of death in a United States-born population, with primarily horizontal transmission of HDV, are lacking. The aim of this study was to conduct a national study of patients with hepatitis D to understand the natural history and outcomes compared to patients with hepatitis B virus (HBV). infection. In a national cohort of 4,817 HBV infected veterans tested for HDV (99.6% US-born, 3.3% HDV positive) over a 23-year period, we used multivariable models to identify the factors associated with a composite outcome of hepatocellular carcinoma (HCC), decompensation, and liver-related mortality (LRM), as well as all-cause mortality of patients with HDV compared to HBV mono-infection. HDV coinfection (vs. HBV monoinfection) was associated with a significantly higher incidence of composite liver-related outcomes at both 5 (23.84 vs. 7.98, p<0.001), and 10 years (19.14 vs. 10.18, p<0.001) respectively. The most common cause of death was liver-related (33.8% for HDV vs. 24.7% for HBV), followed by non-hepatic malignancies, (15.6 vs. 14.8%),cardiac (11.7 vs. 15.2%), and lung disease (5.2 vs. 3.7%). In multivariable models, HDV was associated with an increased risk of composite liver outcomes (aHR 2.57, 95% CI 1.87-3.52, p<0.001), and all-cause mortality (aHR 1.52, 95% CI 1.20-1.93, p<0.001). In a predominantly U.S born cohort of Veterans, HDV co-infection was associated with an increased risk of liver-related outcomes and all-cause mortality. Our findings support widespread testing for early identification of HDV.

Efficacy on symptoms and mortality day vs. night administration of EGFR-TKIs for advanced non-small cell lung cancer.

This study has a purpose to investigate the side effects of three EGFR-TKIs targeted therapeutic agents (gefitinib, erlotinib, and afatinib) and all-cause mortality in patients with metastatic lung cancer. We performed a prospective cohort study. We selected all patients with newly diagnosed metastatic lung cancer between January and November 2019. Main exposure was daytime versus nighttime use of targeted EGFR TKIs. The study outcome was a symptom change using the mobile application, and all-cause mortality between January 2019 and March 2023. Among the 87 study participants, 35 (40%) took their medication at night. Among the 87 study participants, 35 (40%) took their medication at night. At 6weeks of treatment, acne (1.36; 95% confidence interval [CI] 1.09, 1.64; p for interaction = 0.04) and dry skin (1.35; 95% CI 1.09, 1.61, p for interaction = 0.01) in the day group showed a much increase from baseline compared to the night group. In contrast, the night group reported greater reductions in lung cancer-related symptoms from baseline compared to the day. During follow-up (median 43months), the night group had a lower risk of all-cause death than the day group, especially in younger patients (adjusted hazard ratio = 0.34; 95% CI 0.13, 0.87). The group taking EGFR-TKIs at night experienced fewer side effects and had longer overall survival compared to the day group. Clinicians should consider recommending that lung cancer patients take their once-daily oral anticancer drugs in the evening rather than the morning to improve treatment outcomes.

Associations between different insulin resistance indices and the risk of all-cause mortality in peritoneal dialysis patients

BackgroundInsulin resistance (IR) is prevalent in individuals undergoing peritoneal dialysis (PD) and is related to increased susceptibility to coronary artery disease and initial peritonitis. In recent investigations, correlations have been found between indices of IR and the incidence of all-cause mortality in various populations. However, such correlations have not been detected among individuals undergoing PD. Hence, the present study’s aim was to explore the connections between IR indices and the incidence of all-cause mortality in PD patients.MethodsPeritoneal dialysis patients (n = 1736) were recruited from multiple PD centres between January 2010 and December 2021. Cox proportional hazards and restricted cubic spline regression models were used to evaluate the connections between the triglyceride–glucose (TyG) index, triglyceride–glucose/body mass index (TyG–BMI), and triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio and the occurrence of all-cause mortality. All three IR indices were integrated into the same model to assess the predictive stability. Furthermore, a forest plot was employed to display the findings of the subgroup analysis of PD patients.ResultsOverall, 378 mortality events were recorded during a median follow-up time of 2098 days. Among PD patients, a higher TyG index, TyG–BMI, and TG/HDL-C ratio were identified as independent risk factors for all-cause mortality according to Cox proportional hazards analyses (hazard ratio (HR) 1.588, 95% confidence interval (CI) 1.261–2.000; HR 1.428, 95% CI 1.067–1.910; HR 1.431, 95% CI 1.105–1.853, respectively). In a model integrating the three IR indices, the TyG index showed the highest predictive stability. According to the forest plot for the TyG index, no significant interactions were observed among the subgroups.ConclusionSignificant associations were found between the TyG index, TyG–BMI, and TG/HDL-C ratio and the incidence of all-cause mortality among PD patients. The TyG index may be the most stable of the three surrogate IR markers. Finally, a correlation was identified between IR and the risk of all-cause mortality in patients undergoing PD.

The impact of inter-cycle treatment delays on overall survival in patients with advanced-stage ovarian cancer.

Chemotherapy forms the cornerstone of systemic treatment for advanced ovarian cancer, extending overall survival; however, drug-related toxicity can lead to treatment delays, potentially diminishing treatment efficacy. This study evaluated the impact of treatment delays on all-cause mortality of patients with ovarian cancer, to better inform decisions on patient management. This retrospective, population-based cohort study included 1517 women with advanced-stage ovarian cancer, receiving first-line adjuvant or neoadjuvant chemotherapy in 2014 and 2015. The frequency of inter-cycle delays >7 dayswas calculated using drug administration dates. Kaplan-Meier estimates were used to compare 2-year overall survival (OS) between patients who were delayed and those treated to schedule. Cox proportional hazards regression was used to investigate the impact of treatment delay on all-cause mortality. Inverse probability of treatment weighting propensity scores were used to adjust for confounding variables. Delays >7 days occurred in 35.3% of patients. Two-year OS probability was 62.7% in patients who experienced treatment delays >7 days (95% CI, 58.7-66.9) compared to 69.1% in those treated to schedule (95% CI, 66.2-72.0). Delays were not significantly associated with all-cause mortality when adjusted for confounders (HR 1.00 95% CI, 0.83-1.20, P = .9). Delays to chemotherapy treatment were not significantly associated with worsened survival in patients with advanced-stage ovarian cancer. These results can inform clinical decision making that prioritize toxicity management and quality of life for those treated with chemotherapy.

Association of Vitamin E Intake with All-Cause Mortality Among Individuals with Rheumatoid Arthritis: A Cohort Study from the NHANES 1999-2018

Background The relationship between dietary vitamin E intake and mortality rates among rheumatoid arthritis (RA) patients remains a relatively uncharted territory in nutritional epidemiology, underscoring an important gap in research. Objectives This study is to explore the potential association between dietary vitamin E intake and all-cause mortality in the RA patient population. Methods This longitudinal cohort study analyzed 2,906 RA patients aged 20 years or older who participated in the National Health and Nutrition Examination Survey from 1999 to 2018. Comprehensive data on mortality, dietary vitamin E intake, and pertinent confounding variables were systematically collected and analyzed using Cox regression and spline curve fitting to analyze the potential association. Results Following the adjustment for confounding factors, a significant inverse relationship was identified between dietary vitamin E intake and the risk of all-cause mortality in patients with RA. The adjusted hazard ratios (HRs) for the second (Q2), third (Q3), and fourth (Q4) quartiles of vitamin E intake were 0.85, 0.60, and 0.68, respectively. Non-linear modeling indicated a threshold effect characterized by a curve that associated dietary vitamin E intake with mortality risk (p = 0.016). An intake threshold of 7.097 mg/day was identified, below which each unit increment in vitamin E intake was associated with a 11.1% decrease in all-cause mortality risk (HR = 0.889). Conversely, for intakes surpassing this threshold, no significant relationship with mortality risk was detected (HR = 1.0038). Conclusion The findings of this study indicate a beneficial relationship between elevated dietary vitamin E intake and a reduced risk of all-cause mortality in RA patients. The dose-response relationship exhibits a non-linear pattern, featuring a critical inflection point at an intake of approximately 7.097 mg/day.

Comparison of Efficacy of Atorvastatin and Rosuvastatin in Patients With Acute Coronary Syndrome: A Systematic Review and Meta-Analysis.

Acute coronary syndrome (ACS) remains a leading cause of morbidity and mortality worldwide. Statins, particularly atorvastatin, and rosuvastatin, are crucial in managing cholesterol levels and reducing cardiovascular risk in ACS patients. However, direct comparative studies between these two statins are limited. This meta-analysis aimed to compare the efficacy of atorvastatin and rosuvastatin in reducing major adverse cardiovascular events (MACE) and all-cause mortality in patients with ACS. A comprehensive literature search was conducted in PubMed, Embase, Cochrane Library, and Scopus for studies published up to July 2024. Randomized controlled trials and observational studies directly comparing atorvastatin and rosuvastatin in ACS patients were included. The primary outcomes were the incidence of MACE and all-cause mortality. Six studies involving 4195 patients were included in the meta-analysis. Pooled analysis showed no statistically significant difference between atorvastatin and rosuvastatin in reducing MACE [risk ratio (RR): 0.91, 95% confidence interval (CI): 0.68 to 1.22, p-value: 0.54] or all-cause mortality (RR: 0.94, 95% CI: 0.52 to 1.70, p-value: 0.83). No significant heterogeneity was observed among the studies (I-square: 0% for both outcomes). This meta-analysis suggests that atorvastatin and rosuvastatin have comparable efficacy in reducing MACE and all-cause mortality in ACS patients. These findings provide clinicians with flexibility in choosing between these statins based on individual patient factors. However, further large-scale randomized controlled trials are needed to confirm these results and explore potential differences in specific patient subgroups.

Association of cardiorenal biomarkers with mortality in metabolic syndrome patients: A prospective cohort study from NHANES.

Approximately 20%-25% of the global adult population is affected by metabolic syndrome (MetS), highlighting its status as a major public health concern. This study aims to investigate the predictive value of cardiorenal biomarkers on mortality among patients with MetS, thus optimizing treatment strategies. Utilizing data from the National Health and Nutrition Examination Survey (NHANES) cycles between 1999 and 2004, we conducted a prospective cohort study involving 2369 participants diagnosed with MetS. We evaluated the association of cardiac and renal biomarkers with all-cause and cardiovascular disease (CVD) mortality, employing weighted Cox proportional hazards models. Furthermore, machine learning models were used to predict mortality outcomes based on these biomarkers. Among 2369 participants in the study cohort, over a median follow-up period of 17.1 years, 774 (32.67%) participants died, including 260 (10.98%) from CVD. The highest quartiles of cardiac biomarkers (N-terminal pro-B-type natriuretic peptide [NT-proBNP]) and renal biomarkers (beta-2 microglobulin, [β2M]) were significantly associated with increased risks of all-cause mortality (hazard ratios[HRs] ranging from 1.94 to 2.06) and CVD mortality (HRs up to 2.86), after adjusting for confounders. Additionally, a U-shaped association was observed between high-sensitivity cardiac troponin T (Hs-cTnT), creatinine (Cr), and all-cause mortality in patients with MetS. Machine learning analyses identified Hs-cTnT,NT-proBNP, and β2M as important predictors of mortality, with the CatBoost model showing superior performance (area under the curve[AUC] = 0.904). Cardiac and renal biomarkers are significant predictors of mortality in MetS patients, with Hs-cTnT, NT-proBNP, and β2M emerging as crucial indicators. Further research is needed to explore intervention strategies targeting these biomarkers to improve clinical outcomes.

Impact of adequate empirical combination therapy on mortality in septic shock due to Pseudomonas aeruginosa bloodstream infections: a multicentre retrospective cohort study.

To determine the association of adequate empirical combination therapy (AECT) with 30-day all-cause mortality in patients with septic shock due to Pseudomonas aeruginosa bloodstream infections (BSI). This multicentre, retrospective cohort study analysed data from 14 public hospitals in Italy, including all consecutive adult patients admitted during 2021-2022 with septic shock due to P. aeruginosa BSI. We compared the outcomes of patients receiving AECT to those on adequate empirical monotherapy (AEMT) using Cox regression analyses. Of the 98 patients who received adequate empirical antibiotic treatment for septic shock due to P. aeruginosa BSI, 24 underwent AECT and 74 were given AEMT. AECT was associated with a lower 30-day all-cause mortality (25%, six out of 24) compared to AEMT (56.8%, 42 out of 74; P = 0.007). Multivariate Cox regression analysis indicated AECT as the only factor significantly associated with improved survival (aHR 0.30; 95% CI 0.12-0.71; P = 0.006). By contrast, the use of monotherapy or combination therapy in the definitive regimen did not influence mortality (aHR 0.73; 95% CI 0.25-2.14; P = 0.568). AECT may be associated with reduced mortality compared to monotherapy in septic shock patients due to P. aeruginosa BSI. However, the administration of definitive adequate monotherapy or combination therapy yields similar outcomes, suggesting that once susceptibility is documented, switching to a single active in vitro drug is safe and feasible. Further studies are recommended to validate these findings.

α-Klotho is associated with cardiovascular and all-cause mortality in patients with stage3band 4 chronic kidney disease(CKD): a long-term prospective cohort study.

α-Klotho deficiency may increase cardiovascular risks and worsen survival. We evaluated the association of α-Klotho with cardiovascular and all-cause mortality in pre-dialysis chronic kidney disease (CKD) patients. In this prospective study, 75 non-diabetic CKD stage 3b-4 patients werefollowed-up for a median of 8years. Primary and secondary outcomes were all-cause and cardiovascular mortality, respectively. Human soluble α-Klotho ELISA Assay (IBL-Takara 27,998-96Well), Human Fibroblast Growth Factor-23 ELISA Assay (intact FGF23, Merck Millipore MILLENZ FGF23-32K), and Human Sclerostin ELISA kits (Biomedica, Vienna, BI-20492) were used to measure serum α-Klotho, FGF23 and sclerostin levels in the certified laboratory at the Sechenov University according to the manufacturers' protocols.All patients underwent echocardiography to evaluate left ventricular mass index (LVMI), left ventricular ejection fraction by Simpson method, and cardiac (valve) calcification score by a semi-quantitative point scale. Lateral abdominal radiography by Kauppila method was used to estimate calcificationof the abdominal aorta.Cox multivariate regression and receiver-operating characteristic curve (ROC)-analysis were used to evaluate risk factors for death and their cut-off values. Primary and secondary endpoints were reached in 15 (20%) and 9 (12%) patients, respectively. Median α-Klotho levels in deceased and surviving patients were 344 and 484pg/ml, respectively (p = 0.002). In a multivariate Cox regression model, baseline α-Klotho levels (HR 0.99, 95% CI 0.98-1.00, p = 0.023), aortic calcification (HR 1.18, 95% CI 1.02-1.36, p = 0.029) and left ventricular mass index (LVMI) (HR 1.04, 95% CI 1.00-1.08, p = 0.033) were associated with the primary endpoint, whereas α-Klotho (HR 0.99, 95% CI 0.98-1.00, p = 0.029), aortic calcification (HR 1.23, 95% CI 1.07-1.42, p = 0.003) and LVMI (HR 1.04, 95% CI 1.00-1.08, p = 0.021) were associated with the secondary endpoint. α-Klotho levels had the highest area under the curve (AUC)by ROC analysis, that is, 0.766 (95% CI 0.70-0.82) for the primary endpoint and 0.842 (95% CI 0.79-0.90) for the secondary endpoint with cut-off values of 412pg/ml (HR 3.06, 95% CI 1.36-6.89, p = 0.007) and 368pg/ml (HR 4.84, 95% CI 1.59-14.73, p = 0.005), respectively. In pre-dialysis CKD patients, α-Klotho levels areassociated with all-cause and cardiovascular mortality and may be considered an early prognostic marker.

Viral eradication reduces all-cause mortality in patients with chronic hepatitis C virus infection who had received direct-acting antiviral therapy.

The impact of hepatitis C virus (HCV) eradication via direct-acting antiviral (DAA) therapy on overall mortality, particularly non-liver-related mortality, is understudied. We recruited 4180 patients with chronic HCV infection who achieved sustained virological response (SVR) (HCV eradication) through DAA therapy (n = 2501, SVR group) or who did not receive antiviral therapy (n = 1679, non-SVR group); 1236 from each group were chosen using propensity score matching. Causes of death and all-cause mortality, including non-liver-related diseases, were investigated. Of the 4180 patients, 592 died during the follow-up period. In the SVR group, the mortality rates from liver-related and non-liver-related diseases were 16.5% and 83.5%, respectively. Compared to the non-SVR group, mortality rates from liver-related and non-liver-related diseases were 50.1% and 49.9%, respectively (p < .001). In non-cirrhotic patients, multivariable analysis revealed that SVR was an independent factor associated with both liver-related (hazard ratio [HR], .251; 95% confidence interval [CI], .092-.686) and non-liver-related (HR, .641; 95% CI, .415-.990) mortalities. In cirrhotic patients, multivariable analysis revealed that SVR remained an independent factor significantly associated with liver-related mortality (HR, .151; 95% CI, .081-.279). In propensity score-matched patients, the eradication of HCV (SVR group) decreased both liver-related (p < .001) and non-liver-related mortality (p = .008) rates compared to persistent HCV infection (non-SVR group). The elimination of HCV via DAA therapy reduced not only liver-related mortality but also non-liver-related mortality in patients with chronic HCV.

Temporary mechanical circulatory support in infarct-related cardiogenic shock: an individual patient data meta-analysis of randomised trials with 6-month follow-up

Percutaneous active mechanical circulatory support (MCS) devices are being increasingly used in the treatment of acute myocardial infarction-related cardiogenic shock (AMICS) despite conflicting evidence regarding their effect on mortality. We aimed to ascertain the effect of early routine active percutaneous MCS versus control treatment on 6-month all-cause mortality in patients with AMICS. In this individual patient data meta-analysis, randomised controlled trials of potential interest were identified, without language restriction, by querying the electronic databases MEDLINE via PubMed, Cochrane Central Register of Controlled Trials, and Embase, as well as ClinicalTrials.gov, up to Jan 26, 2024. All randomised trials with 6-month mortality data comparing early routine active MCS (directly in the catheterisation laboratory after randomisation) versus control in patients with AMICS were included. The primary outcome was 6-month all-cause mortality in patients with AMICS treated with early routine active percutaneous MCS versus control, with a focus on device type (loading, such as venoarterial extracorporeal membrane oxygenation [VA-ECMO] vs unloading) and patient selection. Hazard ratios (HRs) of the primary outcome measure were calculated using Cox regression models. This study is registered with PROSPERO, CRD42024504295. Nine reports of randomised controlled trials (n=1114 patients) were evaluated in detail. Overall, four randomised controlled trials (n=611 patients) compared VA-ECMO with a control treatment and five randomised controlled trials (n=503 patients) compared left ventricular unloading devices with a control treatment. Two randomised controlled trials also included patients who did not have AMICS, who were excluded (55 patients [44 who were treated with VA-ECMO and 11 who were treated with a left ventricular unloading device]). The median patient age was 65 years (IQR 57-73); 845 (79·9%) of 1058 patients with data were male and 213 (20·1%) were female. No significant benefit of early unselected MCS use on 6-month mortality was noted (HR 0·87 [95% CI 0·74-1·03]; p=0·10). No significant differences were observed for left ventricular unloading devices versus control (0·80 [0·62-1·02]; p=0·075), and loading devices also had no effect on mortality (0·93 [0·75-1·17]; p=0·55). Patients with ST-elevation cardiogenic shock without risk of hypoxic brain injury had a reduction in mortality with MCS use (0·77 [0·61-0·97]; p=0·024). Major bleeding (odds ratio 2·64 [95% CI 1·91-3·65]) and vascular complications (4·43 [2·37-8·26]) were more frequent with MCS use than with control. The use of active MCS devices in patients with AMICS did not reduce 6-month mortality (regardless of the device used) and increased major bleeding and vascular complications. However, patients with ST-elevation cardiogenic shock without risk of hypoxic brain injury had a reduction in mortality after MCS use. Therefore, the use of MCS should be restricted to certain patients only. The Heart Center Leipzig at Leipzig University and the Foundation Institut für Herzinfarktforschung.

Machine learning and statistical models to predict all-cause mortality in type 2 diabetes: Results from the UK Biobank study

AimsThis study aims to compare the performance of contemporary machine learning models with statistical models in predicting all-cause mortality in patients with type 2 diabetes mellitus and to develop a user-friendly mortality risk prediction tool. MethodsA prospective cohort study was conducted including 22,579 people with diabetes from the UK Biobank. Models evaluated include Cox proportional hazards, random survival forests (RSF), gradient boosting (GB) survival, DeepSurv, and DeepHit. ResultsOver a median follow-up period of 9 years, 2,665 patients died. Machine learning models outperformed the Cox model in the validation dataset, with C-index values of 0.72–0.73 vs. 0.71 for Cox (p < 0.01). Deep learning models, particularly DeepHit, demonstrated superior calibration and achieved lower Brier scores (0.09 vs. 0.10 for Cox, p < 0.05). An online prediction tool based on the DeepHit was developed for patient care: http://123.57.42.89:6006/. ConclusionsMachine learning models performed better than statistical models, highlighting the potential of machine learning techniques for predicting all-cause mortality risk and facilitating personalized healthcare management for individuals with diabetes.

Relationship between preoperative glucose level and all-cause mortality in patients with osteoporotic vertebral compression fracture who underwent percutaneous vertebroplasty

To investigate the relationship between preoperative blood glucose levels and long-term all-cause mortality in patients with osteoporotic vertebral compression fractures (OVCF) who underwent percutaneous vertebroplasty (VP). This single-center retrospective study involved a chart review of patients admitted for VP to treat OVCF between 2013 and 2020. Patients with pathological or multiple fractures or those who did not undergo bone mineral density assessment were excluded. All relevant information was collected from electronic medical records. The survival status of all patients was confirmed at the end of March 2021. Cox proportional hazard models with multivariate adjustments were used to examine the effects of blood glucose levels on all-cause mortality. Overall, 131 patients were retrospectively analyzed (mean age: 75.8 ± 9.3 years, male patients: 26.7%) with a median follow-up period of 2.1 years. Preoperative hyperglycemia (hazard ratio: 2.668, 95% confidence interval [CI] 1.064, 6.689; p = 0.036) and glucose levels (hazard ratio: 1.007, 95% CI 1.002–1.012; p = 0.006) were found to be independently associated with a higher risk of all-cause mortality. This correlation remained significant even after adjusting for age and sex, and other factors and comorbidities that might affect outcomes (hazard ratio: 2.708, 95% CI 1.047, 7.003, p = 0.040 and 1.007; 95% CI 1.001, 1.013, p = 0.016, respectively). Furthermore, a history of diabetes mellitus was not a significant factor influencing long-term all-cause mortality. Preoperative glucose levels were found to be independently associated with survival outcomes in patients with OVCF who underwent VP. Conversely, diabetes mellitus was not associated with long-term all-cause mortality. Our findings highlight that preoperative hyperglycemia is a risk factor for long-term mortality in this aging surgical population.

Blood urea nitrogen-to-albumin ratio independently predicts 30-day mortality in acute respiratory failure patients: a retrospective cohort study.

It is crucial to identify patients at high risk for acute respiratory failure (ARF) to provide appropriate and optimal clinical treatment. While previous studies have explored the use of prognostic biomarkers based on a combination of blood urea nitrogen (BUN) and albumin levels, no reports to date have evaluated its utility across a wide range of ARF etiologies in a large and diverse critical care population. Therefore, we aimed to ascertain the association between the BUN-to-albumin ratio (BAR) and mortality in these patients. Data recorded in the first 24 h following intensive care unit (ICU) admission, including demographics, vital signs, laboratory test results, comorbidities, and score systems were retrieved from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. A general additive model was used to determine whether there was a non-linear relationship between BAR and 30-day mortality. A multivariate Cox analysis was performed to measure the association between them. The study enrolled 9,734 patients with ARF. In comparison to survivors, non-survivors exhibited higher BAR [10.79 (6.25-18.81) vs. 7.35 (4.48-13.62), P<0.001]. The correlation between baseline BAR and 30-day all-cause mortality in patients with ARF was non-linear, with a significant inflection point (11.76 mg/g). The Kaplan-Meier curve demonstrated that ARF patients had higher 30-day all-cause mortality rates when they had higher BAR levels (>11.76 mg/g) with hazard ratio (HR) 1.54 [95% confidence interval (CI): 1.39-1.70]. A high BAR was linked to a higher risk of mortality in ARF patients. BAR is a straightforward and possibly useful prognostic biomarker for ARF.