Risk Of Death In Patients Research Articles

Association between sarcopenia index, intraoperative events and post-discharge mortality in patients undergoing percutaneous coronary intervention: a retrospective cohort study in a teaching hospital in Western China.

To examine the association between the sarcopenia index (SI) and the risk of intraprocedural events and post-discharge death during percutaneous coronary intervention (PCI). A retrospective cohort study. The study was conducted at a teaching hospital in Western China. The participants were patients aged 45 years and older who underwent PCI at the hospital and had an estimated glomerular filtration rate (eGFR) of ≥15 mL/min/1.73 m2. Patients who died during hospitalisation, as well as those with unknown death dates, those lost to follow-up and those with missing information for the SI calculation, were excluded. The SI was calculated as serum creatinine/cystatin C (Cr/CysC) × 100. The high-SI group was defined as the highest quartile, while the remaining participants were included in the low-SI group. Intraprocedural events included intraprocedural coronary slow flow (CSF)/coronary artery no-reflow (CNR) and malignant ventricular arrhythmia (MVA). In the event of death, the date of death was recorded. The study included 497 patients who underwent PCI in our hospital, of whom 369 (74.25%) were males. A total of 57 (11.47%) patients developed CSF, 100 (20.12%) developed CNR and 4 (0.8%) developed MVA. Forty-four (8.85%) patients died post-discharge. The proportion of patients in the low-SI group who developed CSF was higher than those who did not (16.94% vs 9.65%, p=0.027). In addition, the average SI was lower in patients who developed CSF than in those who did not (81.99 vs 87.11, p=0.043). After adjusting for possible confounding factors, logistic regression analysis showed that the risk of CSF in the low-SI group was higher than that in the high-SI group (OR = 2.01, 95% CI: 1.04 to 3.89). In addition, it was found that the lower the SI, the higher the risk of CSF (OR = 0.983, 95% CI: 0.967 to 0.999). Patients with lower SI had a greater risk of developing CSF, and the lower the SI, the higher the risk of CSF. However, these data suggest that SI is not associated with CNR and the risk of post-discharge death in patients after PCI.

Construction of a metabolism-malnutrition-inflammation prognostic risk score in patients with heart failure with preserved ejection fraction: a machine learning based Lasso-Cox model

BackgroundMetabolic disorder, malnutrition and inflammation are involved and interplayed in the mechanisms of heart failure with preserved ejection fraction (HFpEF). We aimed to construct a Metabolism-malnutrition-inflammation score (MIS) to predict the risk of death in patients with HFpEF.MethodsWe included patients diagnosed with HFpEF and without infective or systemic disease. 20 biomarkers were filtered by the Least absolute shrinkage and selection operator (Lasso)-Cox regression. 1000 times bootstrapping datasets were generated to select biomarkers that appeared above 95% frequency in repetitions to construct the MIS.ResultsAmong 1083 patients diagnosed with HFpEF, 342 patients (31.6%) died during a median follow-up period of 2.5 years. The MIS was finally constructed based on 6 biomarkers, they were albumin (ALB), red blood cell distribution width-standard deviation (RDW-SD), high-sensitivity C-reactive protein (hs-CRP), lymphocytes, triiodothyronine (T3) and uric acid (UA). Incorporating MIS into the basic predictive model significantly increased both discrimination (∆C-index = 0.034, 95% CI 0.013–0.050) and reclassification (IDI, 6.6%, 95% CI 4.0%-9.5%; NRI, 22.2% 95% CI 14.4%-30.2%) in predicting all-cause mortality. In the time-dependent receiver operating characteristic (ROC) analysis, the mean area under the curve (AUC) for the MIS was 0.778, 0.782 and 0.772 at 1, 3, and 5 years after discharge in the cross-validation sets. The MIS was independently associated with all-cause mortality (hazard ratio: 1.98, 95% CI [1.70–2.31], P < 0.001).ConclusionsA risk score derived from 6 commonly used inflammatory, nutritional, thyroid and uric acid metabolic biomarkers can effectively identify high-risk patients with HFpEF, providing potential individualized management strategies for patients with HFpEF.Graphical

Preoperative electrocardiogram in prediction of 90-day postoperative mortality: retrospective cohort study

BackgroundThere are conflicting data on the relationship between preoperative electrocardiogram and postoperative mortality. We aimed to assess the predictive value of preoperative ECG on postoperative all-cause mortality in patients undergoing non-cardiac surgery (NCS).MethodsWe retrospectively reviewed records of hospitalized patients who underwent an internal preoperative examination and subsequent NCS in the years 2015–2021. We recorded patient comorbidities, vital functions, results of biochemical tests, ECG. The primary end point was 90-day postoperative all-cause mortality, acquired from the hospital records and the nationwide registry run by the Institute of Health Information and Statistics of the Czech Republic.ResultsWe enrolled a total of 2219 patients of mean age 63 years (48% women). Of these, 152 (6.8%) died during the 90-day postoperative period. There were statistically significant associations between increased 90-day postoperative all-cause mortality and abnormal ECG findings in resting heart rate (≥ 80 bpm, relative risk [RR] = 1.82 and ≥ 100 bpm, RR = 2.57), presence of atrial fibrillation (RR = 4.51), intraventricular conduction delay (QRS > 0.12 s, RR = 2.57), ST segment changes and T wave alterations, left bundle branch hemiblock (RR = 1.64), and right (RR = 2.04) and left bundle branch block (RR = 4.13), but not abnormal PQ and QT intervals, paced rhythm, incomplete right bundle branch block, or other ECG abnormalities. A resting heart rate (≥ 80 bpm, relative risk [RR] = 1.95 and ≥ 100 bpm, RR = 2.20), atrial fibrillation (RR = 2.10), and right bundle branch block (RR = 2.52) were significantly associated with 90-day postoperative all-cause mortality even in subgroup of patients with pre-existing cardiac comorbidities.ConclusionsPatients with abnormal preoperative ECG findings face an elevated risk of all-cause mortality within 90 days after surgery. The highest mortality risk is observed in patients with atrial fibrillation and left bundle branch block. Additionally, an elevated heart rate, right bundle branch block, and atrial fibrillation further increase the risk of death in patients with pre-existing cardiac conditions.

The influence of COVID-19 on short-term mortality in acute ischemic stroke: A systematic review and meta-analysis.

To evaluate the differences in short-term mortality risk between acute ischemic stroke (AIS) patients with and without SARS-CoV-2 infection. PubMed, EMBASE, Scopus, and Cochrane Databases were systematically searched from December 1, 2019 to May 20, 2022 using the keywords coronavirus disease 2019 (COVID-19), COVID-19, SARS-CoV-2, and ischemic stroke. A random-effects model was estimated, and subgroup analysis and meta-regressions were performed. The quality of eligible studies was assessed using the Newcastle-Ottawa Scale. A total of 26 eligible studies with 307,800 patients were included in this meta-analysis. The overall results show that in-hospital and 90-day mortality was 3.31-fold higher in AIS with SARS-CoV-2 patients compared with those without SARS-CoV-2. When matched for age and National Institutes of Health Stroke Scale score at admission, the risk ratio of in-hospital mortality from AIS among patients with SARS-CoV-2 versus without decreased to 2.83. Reperfusion therapy and endovascular thrombectomy may further reduce the risk of death in patients to some extent but do not increase the incidence of symptomatic intracerebral hemorrhage. Meta-regression showed that in-hospital mortality decreased with increasing National Institutes of Health Stroke Scale score in AIS with SARS-CoV-2 compared to those without SARS-CoV-2 and that the difference in mortality risk between the 2 was independent of age and sex. The results of this study suggest that AIS patients with SARS-CoV-2 have higher short-term mortality compared to AIS patients without SARS-CoV-2, and reperfusion and endovascular thrombectomy therapy may reduce the risk of short-term mortality to some extent. The differences in in-hospital mortality risk were similar across ages and sexes. Focused attention is therefore needed on AIS patients with SARS-CoV-2 to control mortality.

Expression of p16 and Ki67 in laryngeal squamous cell carcinoma and their clinical significance.

The objective of this study is to assess the prognostic value of Ki67 and p16 proteins in laryngeal cancer. This retrospective cohort analysis comprised 260 patients diagnosed with laryngeal cancer. Immunohistochemistry (IHC) was employed to assess the expression levels of p16 and Ki67, and their correlation with the survival time of laryngeal cancer patients was analyzed. The Ki67 index level exhibited a significant association with the prognosis of laryngeal cancer. Patients with higher Ki67 index levels demonstrated shorter survival times, more severe pathological classification, and higher tumor stages (P < 0.05). Conversely, no significant differences in prognostic characteristics of laryngeal cancer were observed in the p16 (-/+) population (P > 0.05). The median survival times for patients with Ki67 index levels of 0-35%, 36-70%, and 70-100% were 3.54 years, 2.10 years, and 1.92 years, respectively. After adjusting for age, smoking, alcohol consumption, pathological classification, surgical intervention, recurrence, and metastasis, the risk of death for patients with Ki67 index levels of 70-100% was 2.0504 times higher than that of patients with Ki67 index levels of 0-35% (95% CI: 1.2997-3.2345, P = 0.0020). The Ki67 index level is strongly associated with survival time and the risk of death in laryngeal cancer, making it a valuable prognostic indicator. However, the prognostic value of p16 levels in laryngeal cancer is limited. These findings provide important insights for prognosis evaluation and treatment decision-making in patients with laryngeal cancer.

Prognostic analysis of Pneumocystis jirovecii pneumonia in patients with systemic vasculitides: a retrospective cohort study

ObjectivesPneumocystis jirovecii pneumonia (PJP) is a serious complication of autoimmune and inflammatory diseases. This study aimed to describe the characteristics of PJP in patients with various systemic vasculitides and explore potential prognostic factors.MethodData on 62 enrolled PJP patients with systemic vasculitis were analyzed. Patients were stratified based on the outcomes. Prognostic factors were investigated using Cox-regression models. Characteristics of patients with and without interstitial lung disease (ILD) were compared.ResultsAmong 62 vasculitis-PJP patients, 48 had anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV), with microscopic polyangiitis (MPA) being the most common subtype (28 patients). MPA (HR 4.33, p = 0.001), concomitant aspergillosis (HR 2.68, p = 0.019), and higher D-dimer at PJP diagnosis (HR 1.07, p = 0.004) were independent adverse prognostic factors for overall survival. Stable disease activity of vasculitis was an independent favorable prognostic factor (HR 0.28, p = 0.027). Patients with MPA were older than non-MPA patients (median age: 69 vs. 58 years, p = 0.001); both ILD and fibrotic ILD were more prevalent in MPA patients (ILD: 78.6% vs. 35.3%, p = 0.001; fibrotic ILD: 57.1% vs. 11.8%, p < 0.001). At the diagnosis of PJP, patients with preexisting ILD had higher counts of white cells, lymphocytes, and neutrophils, as well as higher levels of immunoglobulin (Ig) G and IgA, than patients without preexisting ILD.ConclusionsMPA was associated with a higher risk of death in patients with vasculitis-PJP, possibly due to a higher prevalence of ILD. In clinical practice, we should pay more attention to the prophylaxis and management of PJP in patients with systemic vasculitis-associated ILD and/or MPA.Key Points• Data from this study showed that MPA was the most common subtype of vasculitis among vasculitis-PJP patients.• Compared with non-MPA patients in this study, patients with MPA were older, had more ILD and fibrotic ILD, and had a poorer prognosis.• In clinical practice, we should pay more attention to the prophylaxis and management of PJP in patients with systemic vasculitis-associated ILD and/or MPA.

Long-Term Risk of Cardiovascular Death in Patients With Mildly Reduced Ejection Fraction After Acute Myocardial Infarction: A Multicenter, Prospective Registry Study.

The prognostic implication of mildly reduced ejection fraction (mrEF) after acute myocardial infarction has not been clearly demonstrated. We investigated the long-term risk of cardiovascular death and its predictors in patients with mrEF following acute myocardial infarction. A total of 18 668 patients who presented with acute myocardial infarction were included in 2 prospective, multicenter registries. The incidence of adverse cardiovascular events according to the left ventricular ejection fraction (EF) strata at index admission were evaluated. A score system consisting of clinical variables were developed to predict long-term cardiovascular death in the mrEF group. There were 2548 patients with reduced EF (EF ≤40%), 4266 patients with mrEF (EF 41%-49%), and 11 854 patients with preserved EF (EF ≥50%). During a median follow-up period of 37.9 months, the cardiovascular death rate was 22.3% in the reduced EF group, 10.3% in the mrEF group, and 7.3% in the preserved EF group (P<0.001). In the mrEF group, age>65 years, hypertension, stroke, severe renal insufficiency, and Killip class ≥3 were independent predictors for cardiovascular death. Presence of >2 predictors best discriminated the high-risk patients for cardiovascular death with an area under the curve of 0.746. Incidence of cardiovascular death in the high-risk mrEF group was comparable with the rEF group, while it was lower in the low-risk mrEF group than in the pEF group. Patients with mrEF after acute myocardial infarction had a modest risk of cardiovascular death. Clinical predictors could help discriminate a high-risk subpopulation with cardiovascular death risks comparable with those in the reduced EF group.

Оптимізація стратифікації ризику несприятливого найближчого прогнозу у хворих із високим ризиком тромбоемболії легеневої артерії

The aim – to develop and validate a scale for the additional risk of early death in patients with high-risk pulmonary embolism.Materials and methods. At the 1st stage of the study, a formula for additional stratification of the risk of early death of high-risk PE patients was developed. With the help of ROC analysis, it was established that the sensitivity of the received prognostic formula is 64.0 %; specificity 92.1 %. Based on the formula, we proposed the SBAFS scale (S – saturation, B – bifurcation, A – arterial hypotension, F – ejection fraction, S – female gender). To further verify the proposed scale and formula, the II stage of the study was conducted on a multicenter cohort (8 centers in Ukraine that provided information on high-risk PE patients who were hospitalized for the period from 01.01.2023 to 12.2023). At this stage, 75 high-risk PE patients were included, the average age was (60.60±13.40) years, among them there were 38 (50.7 %) men, 37 (49.3 %) women. The first group consisted of 65 (80 %) patients who were discharged from the hospital with improvement, and the second group – 15 (20 %) patients died during hospitalization due to an acute episode of PE. Clinical and anamnestic, laboratory and instrumental indicators were analyzed, statistical analysis was performed data.Results and discussion. It was established that in the II subgroup of patients with high-risk PE, not only the average value of the Y indicator was significantly higher than in the I subgroup: (0.785±0.250) and (0.306±0.330), p=0.00002, but also the proportion of patients with indicator Y&gt;0.5: 13 (86.7 %) and 16 (26.7 %), respectively, p=0.00001. In order to check the sensitivity and specificity of the formula, we performed a ROC analysis for the II stage of our research: the sensitivity of the prognostic formula we obtained is 93.3 %; specificity of 74.6 %, which confirms the result of the 1st stage. When checking the SBAFS scale recommended by us, it was also established that the average score on the scale was (2.53±0.83) in patients of the II group and was higher than in the I group: (1.57±0.96), p=0,0006.Conclusions. The main factors associated with the risk of in-hospital death in high-risk PE patients are a decrease in oxygen saturation, thrombus localization in the LA bifurcation according to MSCT-angiography, arterial hypotension, female sex, and a decrease in the left gastric ejection fraction according to Echo-CG. The previously proposed SBAFS risk scale confirmed its value when tested with the participation of cardiologists from 8 regions of Ukraine – sensitivity 93 %, specificity – 75 %. The possibility of using a simplified assessment of the risk of early death in patients with PE with a high total score was confirmed, as this indicator was significantly higher in the deceased – 2.5 against 1.6 (р=0.0006).

Survival Analysis of Patients with Covid-19 Using Parametric Models in the Presence of Frailty Variable: A Prospective Cohort Study

Introduction: This study was performed to investigate the survival analysis of patients using parametric models in the presence of fragility variables. Methods: The data of this research belonged to a prospective cohort study of all the patients with Covid-19 in Fereydunshahr City. By conducting PCR tests on 2269 individuals suspected of Covid-19, 880 definite patients of Covid-19 were identified by census method. The death of the patients due to Covid-19 was the failure event. The response variable was the time from the onset of symptoms to the time of death (or censoring) at the end of the study. The data were analyzed through SPSS (version 16) and R software (version 4.3.2) at an error level of 0.05 and fitted with survival parametric models (considering the gamma distribution for the frailty variable) using Akaike's criterion. Results: Based on multiple regression analysis, the risk of death in patients with a history of heart disease was 4.9 times more than of patients without heart disease (95% CI for HR=2.21-10.98, HR=4.9) and in hospitalization patients was 4.2 times more than of outpatient cases (HR=4.2, 95% CI for HR=1.74-10.24). Moreover, increasing the age showed a significant relationship with the mortality rate (95% CI for HR=1.02-1.08, HR=1.05). With the inclusion of fragility variable in the model, the variable of “cardiovascular disease” was recognized as an important risk factor in survival time of patients; while without the fragility variable, this variable was ignored. In this study, according to the Akaike's criterion, the log-normal model showed a goodness of fit with the Covid-19 data. Conclusion: Using the fragility variable in survival regression models of patients with Covid-19, it is possible to identify the factors affecting patient mortality that it’s impossible to identify these risk factors in conventional models.

Proportion trends, cancer stage, and survival of patients with cancer diagnosed through emergency and nonemergency departments: a nationwide cohort study.

To reduce mortality, the Taiwan government has vigorously promoted free cancer screening and preventive health screening services. Cancers are usually advanced by the time they are discovered in the emergency department. Through this study, we aimed to understand the characteristics of cancer patients diagnosed through the emergency department and thus identify high-risk populations by comparing cancer staging and survival rates in patients diagnosed in the emergency department and those diagnosed in the non-emergency department. The retrospective study enrolled a total of 389,043 patients over the age of 20 who were newly diagnosed with one of the five major cancers (including lung cancer, colorectal cancer, breast cancer, prostate cancer, and oral cancer) between 2008 and 2017 and analyzed their diagnostic pathway, cancer stage at diagnosis, and survival time. Of the study participants, 59,423 patients (about 15.3%) were diagnosed with cancer through the emergency department. We found that a sizable proportion of older people and patients with low education and low incomes were diagnosed through emergency department visits, and those with a health condition comorbidity severity of 3 had the highest proportion diagnosed by the emergency department, advanced stages at diagnosis, and risk of death. These can be classified as high-risk groups. In addition, 76.4% of patients diagnosed in the emergency department had advanced cancer, and the risk of death was 1.46 times higher than that of patients diagnosed in the non-emergency department. Although cancer screening is available, it does not reduce the proportion of patients with advanced cancer who are diagnosed through or at the time of diagnosis in the emergency department. The present study found that the government's cancer screening did not affect the proportion or number of cancers diagnosed through emergency department visits. Therefore, the government should focus on more cancer screening, health education in high-risk groups, and strengthening the link between emergency and oncology departments to reduce the risk of death for patients diagnosed through emergency department visits.

Cardiovascular death risk in patients with solid tumors: a population-based study in the United States.

Previous studies have focused on the risk of cardiovascular disease (CVD)-specific death in hematological cancers and in some single anatomical tumor sites, there remains a paucity of data on systematic analyses in solid tumors. The objective of this study is to evaluate the distribution, risk, and trends of CVD-specific death in patients with solid tumors. A total of 2 679 293 patients with solid tumors diagnosed between 1975 and 2019 were screened from the Surveillance, Epidemiology and End Results (SEER) program across 15 anatomical sites. Standardized mortality ratios (SMRs) and absolute excess risks (AERs) were used to describe the intensity of CVD-specific death, competing risk regression models were used to assess the risk of CVD-specific death, and restricted cubic spline analyses were employed to investigate the potential linear or nonlinear relationship between age and CVD death. CVD-specific death in patients with solid tumors accounted for 48.95% of non-cancer deaths. Compared with the general population, patients with solid tumors had higher SMR and AER of CVD death (SMR: 1.15; AER: 21.12), heart disease-related death (SMR: 1.13; AER: 13.96), and cerebrovascular disease-related death (SMR: 1.20; AER: 4.85). Additionally, the SMR exhibited a decreasing trend with increasing time to diagnosis. Furthermore, a nonlinear relationship was observed between age and CVD-specific death in patients with solid tumors of different systems. CVD-specific death accounted for a large proportion of the cause of non-cancer deaths. Patients with solid tumors exhibit an elevated risk of CVD-specific death. Screening for CVD death and optimizing risk management in patients with solid tumors throughout anticancer treatment may be beneficial in preventing CVD death.

High myoglobin level as an independent risk factor for death in elderly patients with critical COVID-19 infection: a retrospective case-control study

AimThis study aimed to discover risk factors for death in patients with critical COVID-19 infection in order to identify patients with a higher risk of death at an early stage.MethodsWe retrospectively analyzed the clinical data of patients with critical COVID-19 infection from April 2022 to June 2022. Data were collected from the electronic medical records. Propensity matching scores were used to reduce the effect of confounding factors, such as patient baseline variables. Independent risk factors affecting patient prognosis were assessed using univariate logistic regression and multivariate logistic regression analysis. Restricted cubic spline curves were used to assess the relationship between independent and dependent variables.ResultsThe data of 132 patients with critical COVID-19 infection were included in the study. Of the 132 patients, 79 survived and 53 died. Among laboratory indicators, patients who died had higher proportions of abnormalities in procalcitonin, aspartate aminotransferase (AST), creatinine, cardiac troponin I, and myoglobin. Univariate and multivariate logistic regression analyses suggested that abnormal AST (OR = 4.98, P = 0.02), creatinine (OR = 7.93, P = 0.021), and myoglobin (OR = 103.08, P = 0.002) were independent risk factors for death. After correction for AST and creatinine, a linear relationship between myoglobin and risk of death in patients was found using restricted cubic splines.ConclusionHigh myoglobin level is an independent risk factor for death and is therefore a prognostic marker in elderly patients with severe COVID-19 infection.

Renin-Angiotensin System Inhibition in Patients With Myocardial Injury Complicating Transcatheter Aortic Valve Replacement

BackgroundPeriprocedural myocardial injury impacts clinical outcome after transcatheter aortic valve replacement (TAVR). The optimal medical management strategy for TAVR-related periprocedural myocardial injury has not been established. ObjectivesThe authors aimed to investigate the prognostic association of renin-angiotensin system (RAS) inhibitors in patients with periprocedural myocardial injury after TAVR. MethodsIn a prospective TAVR registry, patients were retrospectively stratified according to Valve Academic Research Consortium (VARC)-3 periprocedural myocardial injury and RAS inhibitor prescription after TAVR. The main outcomes of interest were prevalence of myocardial injury and cardiovascular death. Logistic and Cox proportional hazards regression were used to analyze outcomes of interest. ResultsAmong 2,083 eligible patients undergoing TAVR between August 2007 and June 2023, 283 patients (13.8%) developed VARC-3 periprocedural myocardial injury. RAS inhibitors were prescribed in 197 patients (70%) with periprocedural myocardial injury and in 1,251 patients (71.2%) without injury. Compared with patients without periprocedural myocardial injury, patients with myocardial injury had an increased risk of cardiovascular death at 1 year (HRadjusted: 2.08; 95% CI: 1.39-3.11). The use of RAS inhibitors after TAVR was associated with a reduced risk of cardiovascular death in patients with and without periprocedural myocardial injury (HRadjusted: 0.46; 95% CI: 0.22-0.95, and HRadjusted: 0.44; 95% CI: 0.30-0.65, respectively). ConclusionsOne out of 7 patients undergoing TAVR experienced periprocedural myocardial injury. VARC-3 periprocedural myocardial injury was associated with a 2-fold increased risk of cardiovascular death at 1 year after TAVR. The favorable association of RAS inhibitor prescription was consistent in patients with and without periprocedural myocardial injury. (SwissTAVI Registry; NCT01368250)

Use of Neutrophil-to-Lymphocyte Ratio to Predict In-Hospital Mortality in Patients Admitted with Acute Decompensation of Atrial Fibrillation.

Background/Objectives: The prevalence of atrial fibrillation (AF) has been on the rise over the last 20 years. It is considered to be the most common cardiac arrhythmia and is associated with significant morbidity and mortality. The need for in-hospital management of patients having AF is increasing. Acute decompensation of cardiac rhythm is an indication for hospital admission. In the existing literature, several studies on different pathologies have observed that the risk of death was greater for patients with an increased neutrophil-to-lymphocyte ratio (NLR) and suggested that the NLR can be a useful biomarker to predict in-hospital mortality. This study aims to evaluate the link between the neutrophil-to-lymphocyte ratio at admission and death among the patients admitted to the medical ward for the acute manifestation of AF, and to gain a better understanding of how we can predict in-hospital all-cause death based on the NLR for these patients. Methods: A single-center retrospective study in an academic medical clinic was conducted. We analyzed if the NLR at in-hospital admission can be related to in-hospital mortality among the patients admitted for AF at the Medical Ward of Municipal Emergency University Hospital Timisoara between 2015 and 2016. After identifying a total of 1111 patients, we divided them into two groups: in-hospital death patients and surviving patients. We analyzed the NLR in both groups to determine if it is related to in-hospital mortality or not. One patient was excluded because of missing data. Results: Our analysis showed that patients who died during in-hospital admission had a significantly higher NLR compared to those who survived (p < 0.0001, 95% CI (1.54 to 3.48)). The NLR was found to be an independent predictor of in-hospital death among patients with AF, even for the patients with no raised level of blood leukocytes (p < 0.0001, 95% CI (0.6174 to 3.0440)). Additionally, there was a significant correlation between the NLR and the risk of in-hospital death for patients admitted with decompensated AF (p < 0.0001), with an area under the ROC curve of 0.745. Other factors can increase the risk of death for these patients (such as the personal history of stroke, HAS-BLED score, and age). Conclusions: The NLR is a useful biomarker to predict in-hospital mortality in patients with AF and can predict the risk of death with a sensitivity of 72.8% and a specificity of 70.4%. Further studies are needed to determine the clinical utility of the NLR in risk stratification and management of patients with AF.

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.

Association of marital status with cardiovascular death risk in patients with lung cancer: A population-based study

BackgroundTo investigate the association of marital status on cardiovascular death risk in lung cancer patients. MethodsUsing data from the Surveillance, Epidemiology, and End Results (SEER) database in the United States from 2011 to 2015 (N = 118,293), the association between marital status and cardiovascular death (CVD) risk in patients with lung cancer was assessed by competing-risks regression models. ResultsUnmarried status was associated with increased risk of cardiovascular death in lung cancer patients [hazard ratio (HR) = 1.398, 95 % confidence interval (CI): 1.268–1.542], which remained significant even after adjusting for potential covariates (HR = 1.407, 95 % CI: 1.276–1.551). Further unmarried subgroups analysis showed that the different unmarried status were associated with increased cardiovascular death risk as follows: single (HR = 1.397, 95 % CI: 1.236–1.1.580), separated (HR = 1.630, 95 % CI: 1.153–2.305), divorced (HR = 1.318, 95 % CI: 1.158–1.500), and widowed (HR = 1.561, 95 % CI: 1.393–1.749). Further subgroup analysis by sex revealed that compared to male lung cancer patients with married, CVD risk was significant increased in their counterparts with widowed (adjusted HR = 1.509, 95 % CI: 1.291–1.764, P<0.001), single (adjusted HR = 1.361, 95 % CI: 1.168–1.585, P<0.001) and divorced (adjusted HR = 1.353, 95 % CI: 1.177–1.555, P<0.001) rather than those with separated. However, similar phenomena was only observed in female lung cancer patients with widowed (adjusted HR = 1.414, 95 % CI: 1.220–1.640, P<0.001) and single (adjusted HR = 1.438, 95 % CI: 1.195–1.730, P<0.001). ConclusionUnmarried status was associated with increased cardiovascular death risk in patients with lung cancer, which highlighted that more attention and humanistic/supportive care should be offered to unmarried lung cancer patients for improving the prognosis.

Ferroptosis and inflammation are modulated by the NFIL3-ACSL4 axis in sepsis associated-acute kidney injury

Sepsis-associated acute kidney injury (SA-AKI) increases the risk of death in patients with sepsis, and its major pathological change is the death of renal tubular cells. However, the mechanism of its occurrence remains unclear. Sepsis can lead to circadian dysregulation, and the rhythm gene NFIL3 has been reported to regulate lipid metabolism. There is compelling evidence that has demonstrated that lipid peroxidation can cause cellular ferroptosis. In this study, we established the in vitro and in vivo models of SA-AKI and confirmed the presence of ferroptosis of the renal tubular epithelial cells in SA-AKI. In addition, analysis of the GEO database showed that NFIL3 was highly expressed in sepsis patients and was highly correlated with the key molecule of ferroptosis, ACSL4. The in vitro and in vivo data suggested that NFIL3 was involved in ferroptosis and inflammation in SA-AKI. Subsequently, loss-of-function experiments revealed that NFIL3 knockdown attenuated ferroptosis and inflammation in renal tubular epithelial cells by downregulating ACSL4 expression, thus protecting SA-AKI. In conclusion, this study is the first to illustrate the involvement of the rhythm gene NFIL3 in SA-AKI, providing new insights and potential therapeutic targets for SA-AKI.

Investigation of the relationship between COVID-19 and pancreatic cancer using bioinformatics and systems biology approaches.

The coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, poses a huge threat to human health. Pancreatic cancer (PC) is a malignant tumor with high mortality. Research suggests that infection with SARS-CoV-2 may increase disease severity and risk of death in patients with pancreatic cancer, while pancreatic cancer may also increase the likelihood of contracting SARS-CoV-2, but the link is unclear. This study investigated the transcriptional profiles of COVID-19 and PC patients, along with their respective healthy controls, using bioinformatics and systems biology approaches to uncover the molecular mechanisms linking the 2 diseases. Specifically, gene expression data for COVID-19 and PC patients were obtained from the Gene Expression Omnibus datasets, and common differentially expressed genes (DEGs) were identified. Gene ontology and pathway enrichment analyses were performed on the common DEGs to elucidate the regulatory relationships between the diseases. Additionally, hub genes were identified by constructing a protein-protein interaction network from the shared DEGs. Using these hub genes, we conducted regulatory network analyses of microRNA/transcription factors-genes relationships, and predicted potential drugs for treating COVID-19 and PC. A total of 1722 and 2979 DEGs were identified from the transcriptome data of PC (GSE119794) and COVID-19 (GSE196822), respectively. Among these, 236 common DEGs were found between COVID-19 and PC based on protein-protein interaction analysis. Functional enrichment analysis indicated that these shared DEGs were involved in pathways related to viral genome replication and tumorigenesis. Additionally, 10 hub genes, including extra spindle pole bodies like 1, holliday junction recognition protein, marker of proliferation Ki-67, kinesin family member 4A, cyclin-dependent kinase 1, topoisomerase II alpha, cyclin B2, ubiquitin-conjugating enzyme E2 C, aurora kinase B, and targeting protein for Xklp2, were identified. Regulatory network analysis revealed 42 transcription factors and 23 microRNAs as transcriptional regulatory signals. Importantly, lucanthone, etoposide, troglitazone, resveratrol, calcitriol, ciclopirox, dasatinib, enterolactone, methotrexate, and irinotecan emerged as potential therapeutic agents against both COVID-19 and PC. This study unveils potential shared pathogenic mechanisms between PC and COVID-19, offering novel insights for future research and therapeutic strategies for the treatment of PC and SARS-CoV-2 infection.

Digoxin is still useful, but is still causing toxicity.

Digoxin, the oldest known cardiovascular drug, is still used today to treat heart failure and atrial fibrillation. Because it has a narrow therapeutic index and multiple interactions, it frequently causes toxicity with a wide range of symptoms and cardiac arrhythmias. More importantly, elevated serum digoxin levels have been linked to a higher risk of death in patients with heart failure or atrial fibrillation, even without signs or symptoms of toxicity. This article reviews the current state of digoxin use, its pharmacologic principles, and the mechanisms, clinical presentation, and management of toxicity.

Patients With ST-Segment Elevation Myocardial Infarction and Cerebrovascular Accidents: Impact of COVID-19 Vaccination on Mortality.

Coronavirus disease 2019 (COVID-19) infection is associated with proinflammatory states and adverse health outcomes such as ST-segment elevation myocardial infarction (STEMI) and cerebrovascular accidents (CVA). Limited evidence suggests that COVID-19 vaccination may decrease the adverse impact of COVID-19 infections. This study was designed to determine if patients who received COVID-19 vaccination had lower mortality from STEMI and CVA. This is a retrospective comparative analysis of 3,050 patients, who were admitted to the hospital and diagnosed with STEMI or CVA between April 1, 2019, and April 1, 2022. Patients were divided into three different timeframes: pre-COVID (April 1, 2019, to March 31, 2020), COVID (April 1, 2020 to March 31, 2021), and post-COVID (April 1, 2021 to March 31, 2022). Chi-square analysis was completed to analyze associations between STEMI, CVA, and vaccination status. A multinominal logistic regression was used to determine significant predictors for in-hospital mortality. A total of 3,050 patients were admitted (1,873 STEMI and 1,177 CVA). STEMI accounted for about 60% of cases in each of the three time periods. There was no statistical difference in STEMI or CVA percentages in the three time periods. There was increased mortality in STEMI and CVA patients (odds ratio (OR) = 11.4; P < 0.001), but patients who received the COVID-19 vaccine were less likely to die (OR = 0.51, 95% confidence interval (CI): 0.28 - 0.93; P < 0.027) when compared to those who were unvaccinated. There was increased risk of death in patients with atrial fibrillation (AFIB) (OR = 2.43; P < 0.001) and chronic heart failure (CHF) (OR = 1.76; P = 0.004). There was increased mortality risk associated with age (OR =1.03; P = 0.001). Patients with coronary artery disease (CAD) (OR = 0.45; P = 0.014) and hyperlipidemia (OR = 0.29; P < 0.001) were less likely to die. Vaccination against COVID-19 was associated with reduced mortality rates in patients hospitalized with STEMI and CVA. Patients with pre-existing cardiovascular comorbidities such as CAD and hyperlipidemia also had lower mortality.