Mortality In Patients Research Articles

Risk factors for in-hospital mortality in patients with infective endocarditis

The assessment of risk factors for in-hospital mortality in patients with infective endocarditis is important for identifying variables associated with treatment regimens, aiming to improve outcomes. Early identification of high-risk patients may contribute to better outcomes through timely medical and surgical interventions. Objective: to study the clinical characteristics and risk factors associated with in-hospital mortality among patients with infective endocarditis. Materials and methods. A retrospective single-center study was conducted, which included clinical data of 311 consecutive patients from January 1, 2019, to October 22, 2021, at the Amosov National Institute of Cardiovascular Surgery of the National Academy of Medical Sciences of Ukraine. The primary outcome of the study was in-hospital mortality among patients with infective endocarditis. Clinical and laboratory data, as well as the results of echocardiographic examinations and postoperative complications were recorded and statistically analyzed. Results. The overall in-hospital mortality rate was 13 cases (4.2 %), including 6 (1.9 %) patients with infective endocarditis who died at the preoperative stage despite medical treatment. Postoperative in-hospital mortality accounted for 7 cases (2.3 %), 298 patients (95.8 %) underwent successful surgery and were discharged under the supervision of a cardiologist in their locality. A univariate analysis of preoperative clinical and laboratory characteristics revealed the following risk factors for in-hospital mortality among patients with infective endocarditis at the preoperative stage: fever (p = 0.021), mechanical ventilation (p < 0.001), acute kidney injury (р < 0.001), heart failure (р < 0.001). Similarly, a univariate analysis of intraoperative and postoperative clinical and laboratory characteristics revealed risk factors for in-hospital mortality among patients with infective endocarditis at the postoperative stage to be aortic cross-clamping time (p = 0.010), duration of cardiopulmonary bypass (p = 0.006), ultrafiltration volume (p < 0.001) and N-terminal pro-B-type natriuretic peptide level (p = 0.017). Conclusions. Our study demonstrated that risk factors for in-hospital mortality among patients with infective endocarditis included fever, heart failure, respiratory failure, acute kidney injury, and duration of cardiac surgery. These findings underscore the necessity for a multidisciplinary approach to the treatment of infective endocarditis.

Laparoscopic surgery and mortality in perforated peptic ulcer (correlation and regression

Aim of the study is to evaluate the relationship between the number of laparoscopic operations and mortality in patients with perforated peptic ulcer. Materials and methods: The functional relationships between the number of performed laparoscopic operations and the levels of hospital and postoperative mortality were studied based on the analysis of the results of surgical treatment of patients with a perforated ulcer in 2018. Results: An analysis of the functional relationships between the number of laparoscopic operations performed and mortality was carried out based on the results of primary statistical information (2 189 patients with a perforated ulcer). Strong direct correlations have been established, which can be most reliably described within the framework of polynomial regression models (r2 = 0.917 and r2 = 0.889). Conclusion: An assessment of trends in the reduction in hospital and postoperative mortality with an increase in number of laparoscopic operations will be determined only with standardized approaches to the usage of minimally invasive technologies in all areas of the Russian Federation.

Prospective and External Validation of Machine Learning Models for Short- and Long-Term Mortality in Acutely Admitted Patients Using Blood Tests

Background: Predicting mortality in emergency departments (EDs) using machine learning models presents challenges, particularly in balancing simplicity with performance. This study aims to develop models that are both simple and effective for predicting short- and long-term mortality in ED patients. Our approach uses a minimal set of variables derived from one single blood sample obtained at admission. Methods: Data from three cohorts at two large Danish university hospitals were analyzed, including one retrospective and two prospective cohorts where prognostic models were applied to predict individual mortality risk, spanning the years 2013–2022. Routine biochemistry analyzed in blood samples collected at admission was the primary data source for the prediction models. The outcomes were mortality at 10, 30, 90, and 365 days after admission to the ED. The models were developed using Light Gradient Boosting Machines. The evaluation of mortality predictions involved metrics such as Area Under the Receiver Operating Characteristic Curve (AUC), sensitivity, specificity, negative predictive values, positive predictive values, and Matthews correlation coefficient (MCC). Results: A total of 43,648 unique patients with 65,484 admissions were analyzed. The models showed high accuracy, with very good to excellent AUC values between 0.87 and 0.93 across different time intervals. Conclusions: This study demonstrates that a single assessment of routine clinical biochemistry upon admission can serve as a powerful predictor for both short-term and long-term mortality in ED admissions.

Association Between Serum C-Reactive Protein (CRP) And D-Dimer Levels In Covid-19 Patients In A Tertiary Level Hospital, Khulna

Background: The novel corona virus disease 2019 (COVID-19) is major public health issue. It is the most significant global health challenge in the world. Biomarkers play a significant role to detect the severity of COVID-19 infection in the perspective of management of the patients. Aim and objective: We aimed to assess the association between the levels of C-Reactive Protein and D-dimer in COVID-19 patients. Methods: This cross-sectional study was conducted in the department of Pathology and department of Microbiology GMCH, Khulna. 152 patients with SARS-CoV-2 (COVID -19) positive patients were enrolled in this study. C-reactive protein and D-dimer levels are measured in the laboratory of Pathology department, GMCH, Khulna. All statistical computations were performed by using window-based computer software devised with Statistical Packages for Social Sciences (IBM SPSS Statistics 21 version). Results: In this study CRP level was found of mean value of 62.84± 44.64 mg/L with a range of 1.40-195.20 mg/L. It was normal in 21 (13.8%) patients and increased in in 131 patients (86.2 %). The mean value of D-dimer was 2.48 ± 02.20 mg/L with a range of 0.10-9.35 mg/L. D-dimer was normal in 26 (17.1%) patients, whereas it was increased in 126 patients (82.9 %). We performed Pearson’s correlation-coefficient (r) test to compare the association between the levels of CRP with D-dimer in COVID-19 positive patients. There was moderately positive and significant correlation (r = +0.647, p <0.05) between the levels of CRP and D-dimer. Conclusion: There was statistically significant correlation between the levels of serum CRP with D-dimer in COVID-19 positive patients. These two biomarkers can be used to assess the severity in patients with COVID-19 positive with thrombotic disorder for reduction of morbidity and mortality of COVID positive patients. J Dhaka Med Coll. 2023; 32(1) : 57-62

Risk factors for in-hospital mortality in older patients with acute respiratory distress syndrome due to COVID-19: a retrospective cohort study

BackgroundAdvancing age is associated with an increase in mortality among patients with acute respiratory distress syndrome (ARDS) due to coronavirus disease 2019 (COVID-19). This study aimed to determine risk factors for in-hospital mortality in patients over 60 years old with COVID-19-related ARDS (C-ARDS).MethodsThis was an observational, analytical, retrospective study conducted on a cohort that included all patients aged 60 years or older diagnosed with COVID-ARDSwho were admitted to a high-complexity hospital in Bogotá, Colombia, between March 2020 and July 2021.ResultsA total of 1563 patients were included in the analysis, with a median age of 73 years (interquartile range [IQR]: 67–80) and 811 deaths (51.8%). Independent risk factors for in-hospital mortality were identified as follows: patients aged 71–80 [OR 1.87 (95% CI 1.33–2.64)], age > 80 [OR 8.74 (95% CI 5.34–14.31)], lactate dehydrogenase (LDH) [OR 1.009 (95% CI 1.003–1.0015)], severe C-ARDS [OR 2.16 (95% CI 1.50–3.11)], use of invasive mechanical ventilation (IMV) [OR 12.94 (95% CI 9.52–17.60)], and use of steroids [OR 1.49 (95% CI 1.09–2.03)]. In patients over 80 years of age (n = 388), the primary risk factor associated with in-hospital mortality was the use of IMV (n = 76) [OR 6.26 (95% CI 2.67–14.69)], resulting in an in-hospital mortality rate of 89.4% (n = 68) when this therapy was implemented.ConclusionsThe primary risk factors for in-hospital mortality in patients older than 60 years were age, the use of IMV, the severity of C-ARDS, use of steroids and elevated LDH values. Among patients older than 80 years, the main risk factor for in-hospital mortality was the use of IMV. In cases of C-ARDS in older patients, the decision to initiate IMV should always be individualized; therefore, the use of alternative oxygen delivery systems as the first-line approach can be considered.

Inflammation response index (SIRI) is associated with all-cause and cardiovascular mortality in maintenance hemodialysis patients

IntroductionThe aim of this study was to investigate the association between inflammation response index (SIRI) on all-cause and cardiovascular (CVD) mortality in maintenance hemodialysis (MHD) patients.Material and methods371 MHD patients were included in this retrospective study. Time-dependent receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of SIRI. Patients were categorized into two groups based on the median value of SIRI. Kaplan-Meier survival analysis was used to compare the difference in survival rate. Cox regression analysis was used to analyze all-cause and CVD mortality risk factors, and nomograms were established.ResultsThe average age of the patients was (60.71±15.34), and the median follow-up was 42 months. 157 patients died. SIRI had a predictive value for all-cause and CVD mortality. The AUC of the SIRI to predict the all-cause mortality was 0.698, 0.664, 0.713, and 0.900 at 1, 3, 5, and 10 years, respectively. For CVD mortality, the AUC of the SIRI was 0.678, 0.667, 0.717, and 0.906 at 1, 3, 5, and 10 years, respectively. Kaplan-Meier survival analysis showed that patients with high SIRI levels show a significantly lower survival rate. Multivariate Cox regression analysis showed that SIRI > 1.88 was an independent risk factor for all-cause and CVD mortality.ConclusionsSIRI can independently predict all-cause and CVD mortality in MHD patients, which has important value for prognosis.

Cohort study of serological biomarkers for interstitial lung disease in patients with rheumatoid arthritis

Objective Interstitial lung disease (ILD) is an important cause of mortality in patients with rheumatoid arthritis (RA). Early RA-ILD detection is essential to improve prognosis. Here, we investigated eight serological biomarkers that may contribute to RA-ILD detection. Method Fifty-five patients from the Early Rheumatoid Arthritis Program were evaluated for ILD with high-resolution computed tomography (HRCT) and pulmonary function tests (PFTs) using the SCAPIS protocol. Blood samples were obtained for biomarker analysis, and patients’ clinical records were reviewed. We defined ILD using five different models based on the measurements used to confirm ILD: Model A = HRCT; B = PFTs; C = A plus B; D = C plus symptoms; and E = D plus inhalations. Results Among 55 patients, two had an ILD diagnosis before the study, but over one-third fulfilled the ILD criteria. Cancer antigen 15-3 (CA15-3) and matrix metalloproteinase-7 (MMP-7) differentiated between RA with and without ILD (all p < 0.05). Surfactant protein D (SP-D) showed similar trends, as did macrophage inflammatory protein-1β (MIP-1β) and chitinase 3-like protein-1 (YKL-40). Based on Pearson’s correlation coefficients, MIP-1β and YKL-40 were significantly correlated with DAS28 (MIP-1β: 0.3; YKL-40: 0.4), ESR (MIP-1β: 0.3; YKL-40: 0.4), and CRP (only MIP-1β: 0.4) (all p < 0.05). CA15-3 was correlated with rheumatoid factor and anti-citrullinated peptide antibodies (Pearson’s correlation 0.3; both p = 0.03). Conclusions CA15-3 was the most significant biomarker for ILD detection in RA patients with stable low disease activity, closely followed by MMP-7. SP-D, MIP-1β, and YKL-40 may also contribute to RA-ILD diagnosis.

Endothelial KLF11 is a novel protector against diabetic atherosclerosis

BackgroundAtherosclerotic cardiovascular diseases remain the leading cause of mortality in diabetic patients, with endothelial cell (EC) dysfunction serving as the initiating step of atherosclerosis, which is exacerbated in diabetes. Krüppel-like factor 11 (KLF11), known for its missense mutations leading to the development of diabetes in humans, has also been identified as a novel protector of vascular homeostasis. However, its role in diabetic atherosclerosis remains unexplored.MethodsDiabetic atherosclerosis was induced in both EC-specific KLF11 transgenic and knockout mice in the Ldlr−/− background by feeding a diabetogenic diet with cholesterol (DDC). Single-cell RNA sequencing (scRNA-seq) was utilized to profile EC dysfunction in diabetic atherosclerosis. Additionally, gain- and loss-of-function experiments were conducted to investigate the role of KLF11 in hyperglycemia-induced endothelial cell dysfunction.ResultsWe found that endothelial KLF11 deficiency significantly accelerates atherogenesis under diabetic conditions, whereas KLF11 overexpression remarkably inhibits it. scRNA-seq profiling demonstrates that loss of KLF11 increases endothelial-to-mesenchymal transition (EndMT) during atherogenesis under diabetic conditions. Utilizing gain- and loss-of-function approaches, our in vitro study reveals that KLF11 significantly inhibits EC inflammatory activation and TXNIP-induced EC oxidative stress, as well as Notch1/Snail-mediated EndMT under high glucose exposure.ConclusionOur study demonstrates that endothelial KLF11 is an endogenous protective factor against diabetic atherosclerosis. These findings indicate that manipulating KLF11 could be a promising approach for developing novel therapies for diabetes-related cardiovascular complications.

The impact of education level on all-cause mortality in patients with atrial fibrillation

The association of socioeconomic status with cardiovascular morbidity and mortality is well known, but data on the influence of education level on mortality in individuals with atrial fibrillation (AF) are scarce. We investigated education level as a predictor of all-cause mortality in patients diagnosed with AF. This retrospective cohort study used a database created from several Swedish nationwide registries to identify all patients hospitalized with a diagnosis of AF hospitalized from 1995 to 2008. Education level was categorized as primary, secondary, and academic. All-cause mortality risk was estimated in subpopulations defined by the Charlson Comorbidity Index and several comorbidities. A total of 272,182 patients (56% male; mean age 72 ± 10 years) were followed for five years. Cox regression models showed a reduction in all-cause mortality risk with increased education level. Hazard ratios (HR) relative to primary education remained significant after stratification and adjustment for several confounders: secondary education HR = 0.88; 95% CI: 0.86–0.89; P < 0.001; academic education HR = 0.70; 95% CI: 0.67–0.72; P < 0.001. Subpopulation analyses confirmed a significant reduction in relative risk with higher education level. Targeted screening and education programs could be effective in reducing mortality in AF patients with fewer years of formal education.

Dexmedetomidine ameliorates acute kidney injury by regulating mitochondrial dynamics via the α2-AR/SIRT1/PGC-1α pathway activation in rats

BackgroundSepsis-associated acute kidney injury (AKI) is a serious complication of systemic infection with high morbidity and mortality in patients. However, no effective drugs are available for AKI treatment. Dexmedetomidine (DEX) is an alpha 2 adrenal receptor agonist with antioxidant and anti-apoptotic effects. This study aimed to investigate the therapeutic effects of DEX on sepsis-associated AKI and to elucidate the role of mitochondrial dynamics during this process.MethodsA lipopolysaccharide (LPS)-induced AKI rat model and an NRK-52E cell model were used in the study. This study investigated the effects of DEX on sepsis-associated AKI and the molecular mechanisms using histologic assessment, biochemical analyses, ultrastructural observation, western blotting, immunofluorescence, immunohistochemistry, qRT-PCR, flow cytometry, and si-mRNA transfection.ResultsIn rats, the results showed that administration of DEX protected kidney structure and function from LPS-induced septic AKI. In addition, we found that DEX upregulated the α2-AR/SIRT1/PGC-1α pathway, protected mitochondrial structure and function, and decreased oxidative stress and apoptosis compared to the LPS group. In NRK-52E cells, DEX regulated the mitochondrial dynamic balance by preventing intracellular Ca2+ overloading and activating CaMKII.ConclusionsDEX ameliorated septic AKI by reducing oxidative stress and apoptosis in addition to modulating mitochondrial dynamics via upregulation of the α2-AR/SIRT1/PGC-1α pathway. This is a confirmatory study about DEX pre-treatment to ameliorate septic AKI. Our research reveals a novel mechanistic molecular pathway by which DEX provides nephroprotection.

Impact of nutrition-related laboratory tests on mortality of patients who are critically ill using artificial intelligence: A focus on trace elements, vitamins, and cholesterol.

This study aimed to understand the collective impact of trace elements, vitamins, cholesterol, and prealbumin on patient outcomes in the intensive care unit (ICU) using an advanced artificial intelligence (AI) model for mortality prediction. Data from ICU patients (December 2016 to December 2021), including serum levels of trace elements, vitamins, cholesterol, and prealbumin, were retrospectively analyzed using AI models. Models employed included category boosting (CatBoost), extreme gradient boosting (XGBoost), light gradient boosting machine (LGBM), and multilayer perceptron (MLP). Performance was evaluated using area under the receiver operating characteristic curve (AUROC), accuracy, precision, recall, and F1-score. The performance was evaluated using 10-fold crossvalidation. The SHapley Additive exPlanations (SHAP) method provided interpretability. CatBoost emerged as the top-performing individual AI model with an AUROC of 0.756, closely followed by LGBM, MLP, and XGBoost. Furthermore, the ensemble model combining these four models achieved the highest AUROC of 0.776 and more balanced metrics, outperforming all models. SHAP analysis indicated significant influences of prealbumin, Acute Physiology and Chronic Health Evaluation II score, and age on predictions. Notably, the ratios of selenium to age and low-density lipoprotein to total cholesterol also had a notable impact on the models' output. The study underscores the critical role of nutrition-related parameters in ICU patient outcomes. Advanced AI models, particularly in an ensemble approach, demonstrated improved predictive accuracy. SHAP analysis offered insights into specific factors influencing patient survival, highlighting the need for broader consideration of these biomarkers in critical care management.

Renin–angiotensin system inhibition and mortality in patients undergoing dialysis with coronary artery disease: insights from a multi-center observational study

ABSTRACT Background While the survival benefits of angiotensin-converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARB) are firmly established in the general population, their efficacy within patient undergoing dialysis with coronary artery disease (CAD) remains controversial. Methods Between January 2015 and June 2021, 1168 patients undergoing dialysis with CAD were assessed from 30 tertiary medical centers. The primary outcome was all-cause death, and the secondary outcome was cardiovascular death. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for between-group differences. Results Overall, ACEI or ARB were prescribed to 518 patients (44.3%) upon discharge. After a median follow-up of 22.2 months, 361 (30.9%) patients died, including 243 cardiovascular deaths. The use of ACEI or ARB was associated with a significantly lower risk of all-cause (25.3% vs 35.4%, hazard ratio [HR] 0.65, 95% confidence interval [CI] 0.52–0.82, p < 0.001) and cardiovascular death (17.0% vs 23.8%; HR 0.64, 95% CI 0.48–0.83, p = 0.001). These findings remained consistent across IPTW and PSM analyses. Sensitivity analyses for ACEI and ARB use separately yielded similar results. Conclusions Our findings suggested that among patients undergoing dialysis with CAD, ACEI or ARB use was associated with a lower risk of all-cause and cardiovascular death.

Hepatic steatosis estimated by VCTE-derived CAP scores was associated with lower risks of liver-related events and all-cause mortality in patients with chronic liver disease.

The Controlled Attenuated Parameter (CAP) score derived from vibration-controlled transient elastography (VCTE, i.e. Fibroscan®) is a well-validated marker of hepatic steatosis. It is unclear if CAP scores are associated with risks of liver-related outcomes or all-cause mortality. In this retrospective cohort study, we identified 7,587 U.S. Veterans (2,689 with cured hepatitis C [HCV], 1,523 with alcohol-associated liver disease [ALD], 3,375 with metabolic dysfunction-associated steatotic liver disease [MASLD]) who underwent VCTE between 5/2015-12/2021. We followed patients for new hepatic decompensation, hepatocellular carcinoma (HCC), and death from the VCTE date until 1/1/2022. Multivariable Cox-proportional hazards regression was used to assess for the associations between CAP measurements and clinical outcomes, adjusting for age, sex, race/ethnicity, body mass index, Charlson Comorbidity Index, diabetes, liver disease etiology, liver stiffness measurements, and FIB-4, and was reported separately by disease etiology and advanced fibrosis status. Over a median follow-up time of ∼1.9 years, hepatic steatosis (grades 1-3 vs. 0) was associated with a lower risk of death (aHR 0.70, 95% CI: 0.57-0.85). Among patients with MASLD, hepatic steatosis was associated with a lower risk of decompensation (aHR 0.54, 95% CI: 0.32-0.90) and death (aHR 0.52, 95% CI: 0.37-0.73). These associations persisted in subgroup analyses of patients with advanced fibrosis and without cirrhosis. Among patients who underwent VCTE in clinical practice, the presence of substantial hepatic steatosis estimated by the CAP score was associated with lower all-cause mortality among all patients and lower risk of decompensation and death among those with MASLD.

Development and validation of a clinical and laboratory-based nomogram to predict mortality in patients with severe fever with thrombocytopenia syndrome

BackgroundSevere fever with thrombocytopenia syndrome (SFTS) is an emerging global infectious disease with a high mortality rate. Clinicians lack a convenient tool for early identification of critically ill SFTS patients. The aim of this study was to construct a simple and accurate nomogarm to predict the prognosis of SFTS patients.MethodsWe retrospectively analyzed the clinical data of 372 SFTS patients collected between May 2015 and June 2023, which were divided 7:3 into a training set and an internal validation set. We used LASSO regression to select predictor variables and multivariable logistic regression to identify independent predictor variables. Prognostic nomograms for SFTS were constructed based on these factors and analysed for concordance index, calibration curves and area under the curve (AUC) to determine the predictive accuracy and consistency of the model.ResultsIn the training set, LASSO and multivariate logistic regression analyses showed that age, SFTSV RNA, maximum body temperature, pancreatitis, gastrointestinal bleeding, pulmonary fungal infection (PFI), BUN, and PT were independent risk factors for death in SFTS patients. There was a strong correlation between neurological symptoms and mortality (P < 0.001, OR = 108.92). Excluding neurological symptoms, nomograms constructed based on the other eight variables had AUCs of 0.937 and 0.943 for the training and validation sets, respectively. Furthermore, we found that age, gastrointestinal bleeding, PFI, bacteraemia, SFTSV RNA, platelets, and PT were the independent risk factors for neurological symptoms, with SFTSV RNA having the highest diagnostic value (AUC = 0.785).ConclusionsThe nomogram constructed on the basis of eight common clinical variables can easily and accurately predict the prognosis of SFTS patients. Moreover, the diagnostic value of neurological symptoms far exceeded that of other predictors, and SFTSV RNA was the strongest independent risk factor for neurological symptoms, but these need to be further verified by external data.

Mortality of patients with sepsis in intensive care units at tertiary hospitals in Jordan: Prospective cohort study.

The aim of this study was to describe the 30-day mortality rate of adult patients with sepsis and septic shock in 6 intensive care units of 2 tertiary hospitals in Jordan. A prospective cohort design was used. Patients with sepsis and septic shock admitted to the medical and surgical intensive care units at 2 tertiary hospitals were followed up during the period between February 2022 and June 2022 (N = 148). Data were analyzed using SPSS, version 23. Moreover, descriptive statistics, chi-square, and binary logistic regression were used. Notably, 52.7% of patients with sepsis and septic shock died within 30 days of diagnosis of sepsis and septic shock. Sequential Organ Failure Assessment score and the history of having solid tumors significantly predicted the 30-day mortality rate. Moreover, 43 (29.0%) patients with sepsis and septic shock had positive blood cultures, and 46 (31.0%) had positive urine cultures. Patients with sepsis and septic shock have a notable mortality rate that can be predicted from total Sequential Organ Failure Assessment scores and from the history of having solid tumors. Early assessment and initiation of treatment for sepsis essentially would reduce the likelihood of progression of sepsis to septic shock and would reduce associated patients' mortality.

The effect of unhealthy lifestyle on the pathogenesis of sick sinus syndrome: A life-guiding review.

Sick sinus syndrome (SSS), also known as sinoatrial node dysfunction, has been widely concerned by the medical community. The incidence rate of SSS is increasingly, which poses a great threat to public health. Through decades of repeated research in the medical field, great progress has been made in the pathogenesis of SSS and the interaction mechanism between SSS and other cardiovascular diseases. In this paper, we pay special attention to the mental stimulation factors under various pressures such as society and work, and the influence of smoking, drinking, and unhealthy diet on the pathogenesis of SSS. It also explains the mechanism of negative factors in the pathogenesis of SSS. These unhealthy lifestyle will lead to the occurrence of sinoatrial node disease and arrhythmia, and then induce SSS. Therefore, in the premise of increasing incidence rate of SSS and difficult to cure, how to avoid these harmful factors and ensure a healthy lifestyle is extremely important for preventing and treating SSS. This study also has guiding significance for the daily life of high-risk population of SSS and reducing the mortality of SSS patients.

Early high-sensitivity troponin elevation in predicting short-term mortality in sepsis: A protocol for a systematic review with meta-analysis.

Sepsis is a common admission diagnosis in the intensive care unit (ICU). The Sepsis-3 consensus associates sepsis diagnosis with acute organ dysfunction. In these patients troponin elevation is a well-established phenomenon, but its clinical significance is not settled, as no systematic review has addressed the prognostic significance of the increasingly prevalent high-sensitivity troponin assays in acute organ dysfunction setting. This study aims to clarify the association between early serum troponin levels in high-sensitivity assays with short-term mortality risk in septic patients with acute organ dysfunction. We will systematically search PubMed, Scopus and Embase for original articles; additionally, a manual search will be carried out through relevant literature. Generally, studies will be deemed eligible for inclusion if they evaluate the association between high-sensitivity troponin in the first 24 hours of admission and ICU, 30-days, or In-hospital mortality; in patients with septic shock or sepsis related to acute organ dysfunction. Two reviewers will independently select studies and extract the data. A meta-analysis for mortality outcome will be performed for comparative data regarding two effect measures: Odd ratios and Standardized Mean differences. This study will provide further evidence about the role of high-sensitivity troponin assays in predicting mortality in septic patients; potentially helping to guide further research and yielding valuable information for patient assessment. Conclusion about the certainty of evidence will be presented in a ´Summary of findings´ table. PROSPERO registration: (CRD42024468883).

Current real world health data of telemedicine for heart failure with reduced ejection fraction: a systematic review and meta-analysis

Abstract Background Telemedicine has improved adherence to heart failure (HF) treatment, however it has not yet been tailored specifically to address HF with reduced ejection fraction (HFrEF). Our objective is to undertake a comprehensive systematic review and meta-analysis of existing research studies that focus on telemedicine in HFrEF. Methods We conducted an extensive literature review encompassing trials which included outpatients with HFrEF who underwent telemedicine compared with usual care. We exclude any studies without ejection fraction data. Three bibliographic databases from PubMed, ScienceDirect, and Cochrane Library were utilized in our search from January 1999 to May 2023. The endpoints of interest included all-cause mortality, cardiovascular-related mortality, all-cause hospitalization, and HF-related hospitalization. The Cochrane risk-of-bias (RoB) and the risk of bias in non-randomized studies – of interventions (ROBINS-I) were used for non-randomized or observational studies. To quantitatively analyze the collective findings, a pooled odds ratio (OR) was computed for each outcome. Results Out of the initial pool of 4,947 articles, we narrowed down our analysis to 27 studies, Results showed that telemedicine significantly reduced all-cause mortality (OR: 0.65; 95% CI 0.54 – 0.78; p&lt;0.00001), cardiovascular-related mortality (OR 0.68, 95% CI 0.58 – 0.80, p &lt; 0.00001), and HF-related hospitalization based on number of events (OR 0.77, 95% CI 0.64 – 0.94, p = 0.009) as well as number of patients (OR 0.78, 95% CI 0.69 – 0.87, p &lt; 0.0001). Conclusion Telemedicine was shown significantly beneficial in decreasing mortality and hospitalization in HFrEF patients. Future research should focus on standardizing effective telemedicine practices due to the existing variability in methods and clinical situation of the patients. PROSPERO: CRD42023471222 registerd on October 21, 2023

ACCI-HBV-ACLF: A Novel Predictive Model for Hepatitis B Virus-Related Acute-On-Chronic Liver Failure.

Early identification of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) holds crucial importance in guiding clinical management and reducing mortality. However, existing scoring systems often overlook patient's underlying clinical condition, which significantly impacts prognosis. Use the age-adjusted Charlson comorbidity index (aCCI) to evaluate the patient's complications to develop a more precise model for predicting transplant-free mortality in HBV-ACLF patients. Nine hundred and six patients were included for investigation and were segregated into a training cohort and a temporal validation cohort according to the chronological order of admission in a ratio of 7:3. In the training cohort, univariate analysis, logistic regression analysis and LASSO regression analysis were used to construct a prognostic model and it was subsequently validated in a temporal validation cohort and an external validation cohort. We found total bilirubin, neutrophils, international normalised ratio and aCCI exhibited significant associations with 28-day transplant-free mortality and established a novel prognostic model, named aCCI-HBV-ACLF. The model demonstrated strong predictive performance, with area under the receiver operating characteristic curve (ROC) values of 0.859 for 28-day mortality, 0.822 for 90-day mortality. In the temporal validation cohort, aCCI-HBV-ACLF achieved area under the ROC values of 0.869 for 28-day mortality and 0.850 for 90-day mortality. In the external validation cohort, aCCI-HBV-ACLF had area under the ROC values of 0.868 for 28-day mortality and 0.888 for 90-day mortality. This study proposes a new prognostic model, which achieved excellent predictive ability for 28-/90-day transplant-free mortality rates among patients with HBV-ACLF.

Antibodies to HIV-1 gp120 in an experimental model of atherosclerosis caused by immunization with native high-density lipoproteins

Antibodies to bacterial and viral antigens are detected in some systematic autoimmune diseases in the absence of infection. Autoimmune MRL mice and patients with mixed connective tissue disease produce antibodies to gp120 HIV-1, despite the fact that they had never been exposed to HIV-1. Conversely, viral infections may be accompanied by pathological autoimmune reactions. Reactivity to viral antigens in autoimmune diseases and autoimmune reactions in viral diseases are caused by the induction of antibodies via idiotype-anti-idiotype interactions between autoclones and lymphocyte clones against foreign antigens or homology of foreign antigens and autoantigens. Cardiovascular diseases caused by atherosclerosis are currently one of the main causes of mortality in HIV infected patients. It is assumed that HIV infection accelerates atherogenesis. The mechanisms of the association between HIV infection and atherosclerosis are not completely clear. Chronic activation of the immune system, disturbance of cytokine regulation caused by HIV infection, induction of autoantibodies against oxidized low-density lipoproteins (LDL) and antibodies to ApoB-D are considered as possible factors of atherogenesis in HIV infection. The aim of this research was to determine whether an atherogenic immune response against native human high-density lipoproteins (nHDL) could induce antibodies to gp120 HIV-1. Studies were conducted on model of autoimmune atherosclerosis caused by immunization with native human HDL in rabbits. Rabbits (n = 6) were one-time intradermally immunized with human nHDL at a dose of 200 μg of protein per animal in incomplete Freund’s adjuvant. Antibodies to gp120 HIV-1 were measured before immunization of rabbits and on the 28th and 42th day after immunization with HDL, and antibodies to HDL were weekly measured within 42 days after immunization. Histological analysis of the aorta was conducted after eight months after immunization. Transient anti-gp120 HIV-1 antibody production was detected in rabbits immunized with native HDL. The appearance of antibodies to gp120 HIV-1 in response to immunization with native HDL which causes atherosclerosis suggests that the immune response to gp120 HIV-1 during HIV infection may be accompanied by the production of atherogenic antibodies to HDL. Consequently, the antibodies to native lipoproteins caused by an immune response against gp120 HIV-1 may be a factor in atherogenesis during HIV-1 infection.