Independent Predictor Of Mortality Research Articles

Utility of Clinical Variables for Deciding Palliative Care in Paraquat Poisoning: A Retrospective Study.

Patients with paraquat poisoning (PP) have a mortality rate comparable to that of advanced malignancies, yet palliative care is seldom considered in these patients. This audit aimed to identify triggers for early palliative care referral in critically ill patients with PP. Medical records of patients with PP were audited. Predictors of mortality within 48 hours of hospitalization and 24 hours of intensive care unit (ICU) admission were considered as triggers for palliative care referral. Among 108 patients, 84 complete records were analyzed, and 53 out of 84 (63.1%) expired. Within 48 hours after hospitalization, the lowest oxygen partial pressure in arterial blood to a fraction of inspired oxygen [the ratio of partial pressure of oxygen in arterial blood (PaO2) to the fraction of inspiratory oxygen concentration (FiO2) (PaO2/FiO2)] was the independent predictor of mortality, cut-off ≤ 197; the area under the curve (AUC), 0.924; sensitivity, 97%; specificity, 78%; p <0.001; and 95% confidence interval (CI): 0.878-0.978. Kaplan-Meier survival plot showed that the mean survival time of patients with the lowest PaO2/FiO2, ≤197, was 4.64 days vs 17.20 days with PaO2/FiO2 >197 (log-rank p < 0.001). Sequential organ failure assessment (SOFA) score within 24 hours of ICU admission had a cut-off ≥9; AUC, 0.980; p < 0.001; 95% CI: 0.955-1.000; 91% sensitivity; and 90% specificity for mortality prediction. Out of the total of 84 patients with PP analyzed, there were 11 patients admitted to the high dependency units (13.1%) and 73 patients admitted to the ICU (86.9%). Out of the total of 84 patients of PP in whom data was analyzed, 53 (63.1%) patients required ventilator support. All the 53 patients who required ventilator support due to worsening hypoxemia, eventually expired. The lowest PaO2/FiO2 ≤ 197 within 48 hours of hospitalization, SOFA score ≥9 within 24 hours of ICU admission or need for mechanical ventilation are predictors of mortality in PP patients, who might benefit from early palliative care. Rao S, Maddani SS, Chaudhuri S, Bhatt MT, Karanth S, Damani A, et al. Utility of Clinical Variables for Deciding Palliative Care in Paraquat Poisoning: A Retrospective Study. Indian J Crit Care Med 2024;28(5):453-460.

Computed tomography machine learning classifier correlates with mortality in interstitial lung disease

BackgroundA machine learning classifier system, Fibresolve, was designed and validated as an adjunct to non-invasive diagnosis in idiopathic pulmonary fibrosis (IPF). The system uses a deep learning algorithm to analyze chest computed tomography (CT) imaging. We hypothesized that Fibresolve is a useful predictor of mortality in interstitial lung diseases (ILD). MethodsFibresolve was previously validated in a multi-site >500-patient dataset. In this analysis, we assessed the usefulness of Fibresolve to predict mortality in a subset of 228 patients with IPF and other ILDs in whom follow up data was available. We applied Cox regression analysis adjusting for the Gender, Age, and Physiology (GAP) score and for other known predictors of mortality in IPF. We also analyzed the role of Fibresolve as tertiles adjusting for GAP stages. ResultsDuring a median follow-up of 2.8 years (range 5 to 3434 days), 89 patients died. After adjusting for GAP score and other mortality risk factors, the Fibresolve score significantly predicted the risk of death (HR: 7.14; 95% CI: 1.31–38.85; p = 0.02) during the follow-up period, as did forced vital capacity and history of lung cancer. After adjusting for GAP stages and other variables, Fibresolve score split into tertiles significantly predicted the risk of death (p = 0.027 for the model; HR 1.37 for 2nd tertile; 95% CI: 0.77–2.42. HR 2.19 for 3rd tertile; 95% CI: 1.22–3.93). ConclusionsThe machine learning classifier Fibresolve demonstrated to be an independent predictor of mortality in ILDs, with prognostic performance equivalent to GAP based solely on CT images.

Statin therapy impact on Long-Term outcomes in acute heart Failure: Retrospective analysis of hospitalized patients

BackgroundStatin therapy is well-established for treating hyperlipidemia and ischemic heart disease (IHD), but its role in Acute Decompensated Heart Failure (ADHF) remains less clear. Despite varying clinical guidelines, the actual utilization and impact of statin therapy initiation in patients with ADHF with an independent indication for statin therapy have not been thoroughly explored. MethodsWe conducted a retrospective observational study on 5978 patients admitted with ADHF between January 1st, 2007, and December 31st, 2017. Patients were grouped based on their statin therapy status at admission and discharge. We performed multivariable analyses to identify independent predictors of short-term, intermediate-term, and long-term mortality. A sensitivity analysis was also conducted on patients with an independent indication for statin therapy but who were not on statins at admission. ResultsOf the total patient cohort, 73.9% had an indication for statin therapy. However, only 38.2% were treated with statins at admission, and 56.1% were discharged with a statin prescription. Patients discharged with statins were younger, predominantly male, and had a higher prevalence of IHD and other comorbidities. Statin therapy at discharge was an independent negative predictor of 5-year all-cause mortality (hazard ratio 0.80, 95% confidence interval 0.76–0.85). The sensitivity analysis confirmed these findings, demonstrating higher mortality rates in patients not initiated on statins during admission. ConclusionsThe study highlights significant underutilization of statin therapy among patients admitted with ADHF, even when there’s an independent indication for such treatment. Importantly, initiation of statin therapy during hospital admission was independently associated with improved long-term survival.

Clinical usefulness of presepsin and monocyte distribution width (MDW) kinetic for predicting mortality in critically ill patients in intensive care unit

BackgroundIn this study, we explored the accuracy of two new sepsis biomarkers, monocyte distribution width (MDW) and presepsin (PSP), compared to traditional ones, C-reactive protein (CRP) and Procalcitonin (PCT), to identify sepsis and predict intra-hospital mortality by analyzing their kinetic at different time points during hospitalization stay.MethodsWe enrolled 104 patients admitted to the intensive care unit (ICU) of University Hospital “Paolo Giaccone”, Palermo. Among these, 30 (29%) had a clinical diagnosis of sepsis. MDW, PCT, CRP, and PSP were evaluated at admission (T0), after 24 h (T24), 48 h (T48), 72 h (T72), at day 5 (T5), and at discharge (TD).ResultsPatients with sepsis displayed higher levels of PCT and PSP than patients without sepsis at each timepoint; differently, CRP displayed statistically significant differences only at T0, while MDW only at T0 and T24. Patients with increasing levels of PSP displayed lower median survival time than patients with decreasing levels; differences reached statistical significance only at 48 h (20 vs. 29 days, log rank test, p = 0.046). Interestingly, PSP was an independent predictor of ICU mortality at 48 and 72 h after hospital admission. Also, the kinetic of PSP had prognostic value, with increased values at 48 h after admission being associated with reduced survival.ConclusionOur findings support the role of PSP and its kinetic as a predictor of ICU mortality.

Comparing the Prognostic Impacts of Delayed Administration of Appropriate Antimicrobials in Older Patients with Afebrile and Febrile Community-Onset Bacteremia

Although prompt administration of an appropriate antimicrobial therapy (AAT) is crucial for reducing mortality in the general population with community-onset bacteremia, the prognostic effects of delayed AAT in older individuals with febrile and afebrile bacteremia remain unclear. A stepwise and backward logistic regression analysis was used to identify independent predictors of 30-day mortality. In a 7-year multicenter cohort study involving 3424 older patients (≥65 years) with community-onset bacteremia, febrile bacteremia accounted for 27.1% (912 patients). A crucial association of afebrile bacteremia and 30-day mortality (adjusted hazard ratio [AHR], 1.69; p &lt; 0.001) was revealed using Cox regression and Kaplan–Meier curves after adjusting for the independent predictors of mortality. Moreover, each hour of delayed AAT was associated with an average increase of 0.3% (adjusted odds ratio [AOR], 1.003; p &lt; 0.001) and 0.2% (AOR, 1.002; p &lt; 0.001) in the 30-day crude mortality rates among patients with afebrile and febrile bacteremia, respectively, after adjusting for the independent predictors of mortality. Similarly, further analysis based on Cox regression and Kaplan–Meier curves revealed that inappropriate empirical therapy (i.e., delayed AAT administration &gt; 24 h) had a significant prognostic impact, with AHRs of 1.83 (p &lt; 0.001) and 1.76 (p &lt; 0.001) in afebrile and febrile patients, respectively, after adjusting for the independent predictors of mortality. In conclusion, among older individuals with community-onset bacteremia, the dissimilarity of the prognostic impacts of delayed AAT between afebrile and febrile presentation was evident.

Serum Albumin-to-Creatinine Ratio: A Novel Predictor of Pulmonary Infection in Patients with ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention.

In patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI), a low serum albumin-to-creatinine ratio (sACR) is associated with elevated risk of poor short- and long-term outcomes. However, the relationship between sACR and pulmonary infection during hospitalization in patients with STEMI undergoing PCI remains unclear. A total of 4,507 patients with STEMI undergoing PCI were enrolled and divided into three groups according to sACR tertile. The primary outcome was pulmonary infection during hospitalization, and the secondary outcome was in-hospital major adverse cardiovascular events (MACE) including stroke, in-hospital mortality, target vessel revascularization, recurrent myocardial infarction, and all-cause mortality during follow-up. Overall, 522 (11.6%) patients developed pulmonary infections, and 223 (4.9%) patients developed in-hospital MACE. Cubic spline models indicated a non-linear, L-shaped relationship between sACR and pulmonary infection (P=0.039). Receiver operating characteristic curve analysis indicated that sACR had good predictive value for both pulmonary infection (area under the ROC curve [AUC]=0.73, 95% CI=0.70-0.75, P＜0.001) and in-hospital MACE (AUC=0.72, 95% CI=0.69-0.76, P＜0.001). Kaplan-Meier survival analysis indicated that higher sACR tertiles were associated with a greater cumulative survival rate (P＜0.001). Cox regression analysis identified lower sACR as an independent predictor of long-term all-cause mortality (hazard ratio [HR]=0.96, 95% CI=0.95-0.98, P＜0.001). A low sACR was significantly associated with elevated risk of pulmonary infection and MACE during hospitalization, as well as all-cause mortality during follow-up among patients with STEMI undergoing PCI. These findings highlighted sACR as an important prognostic marker in this patient population.

Native myocardial T1 and right ventricular size by CMR predict outcome in systemic sclerosis-associated pulmonary hypertension.

Measures of right heart size and function are prognostic in systemic sclerosis-associated pulmonary hypertension (SSc-PH), but the importance of myocardial tissue characterisation remains unclear. We aimed to investigate the predictive potential and interaction of cardiovascular magnetic resonance (CMR) myocardial tissue characterisation and right heart size and function in SSc-PH. A retrospective, single-centre, observational study of 148 SSc-PH patients confirmed by right heart catheterization who underwent clinically-indicated CMR including native myocardial T1 and T2 mapping from 2016 to 2023 was performed. Sixty-six (45%) patients died during follow-up (median 3.5 years, range 0.1-7.3). Patients who died were older (65 vs 60 years, p= 0.035) with more dilated (RVEDVi and RVESVi, p< 0.001), hypertrophied (RVMi, p= 0.013) and impaired (RVEF, p< 0.001) right ventricles, more dilated right atria (RAi, p= 0.043) and higher native myocardial T1 (p< 0.001).After adjustment for age, RVESVi (p = 0.0023) and native T1 (p = 0.0024) were independent predictors of all-cause mortality. Both RVESVi and native T1 remained independently predictive after adjusting for age and PH subtype (RVESVi p < 0.001, T1 p = 0.0056). Optimal prognostic thresholds for RVESVi and native T1 were ≤38 mL/m2 and ≤1119 ms, respectively (p < 0.001). Patients with RVESVi ≤ 38 mL/m2 and native T1 ≤ 1119 ms had significantly better outcomes than all other combinations (p < 0.001). Furthermore, patients with RVESVi > 38mL/m2 and native T1 ≤ 1119 ms had significantly better survival than patients with RVESVi > 38mL/m2 and native T1 > 1119ms (p = 0.017). We identified prognostically relevant CMR metrics and thresholds for patients with SSc-PH. Assessing myocardial tissue characterisation alongside RV function confers added value in SSc-PH and may represent an additional treatment target.

Racial and survival disparities in inflammatory breast cancer (IBC) and non-IBC: a population-based study focused on Native Hawaiians and other Pacific Islanders

BackgroundIt is well known that race is an independent predictor of breast cancer mortality and advanced stage at diagnosis. Inflammatory breast cancer (IBC) is the most aggressive type of breast cancer and has distinct clinical and biological features. Previous studies have shown that Blacks have a higher incidence of IBC than Whites. However, the proportion of IBC and the role of race on prognosis in Native Hawaiian and other Pacific Islander (NH/PI) populations with breast cancer are poorly understood. In this study, we aimed to examine the proportion of IBC to non-IBC in NH/PIs and to identify the clinicopathological, biological, and socioeconomic factors associated with the overall survival of NH/PIs compared to other races.MethodsUtilizing a comprehensive cancer registry from the largest hospital in Hawaii, newly diagnosed primary invasive breast cancer patients diagnosed between 2000 and 2018 were identified. Univariate and multivariate Cox proportional hazards models were used to test the association between race and clinical outcomes. Variables with P-values &amp;lt;0.05 in the univariate analysis and race (variable of interest) were included in a multivariate analysis.ResultsThe cohort included 3691 patients, 60 of whom had IBC. NH/PI race had the highest proportion of IBC compared to other races (3.44%) but was not found to be an independent poor prognostic factor in IBC (HR 1.17 [95%CI 0.26-5.22]). Conversely, NH/PI race was associated with worse survival outcomes in patients with non-IBC (HR 1.65 [95%CI, 1.14-2.39]) along with other factors such as lack of insurance, underinsured status, triple-negative breast cancer (TNBC) subtype, age, and advanced clinical stage.ConclusionsThe findings of this study highlight that NH/PIs had higher rates of IBC and inferior survival in non-IBC compared to other races but not in IBC. It is essential to disaggregate NH/PI race from Asians in future population-based research studies. Further research is needed to understand the factors contributing to higher rates of IBC and poor survival outcomes in NH/PIs with non-IBC as well as targeted interventions to improve breast cancer outcomes in this population to ultimately help improve survival rates and reduce health inequities in NH/PIs with breast cancer.

The prognostic value of prognostic nutritional index and renal function indicators for mortality prediction in severe COVID-19 elderly patients: A retrospective study.

Identifying prognostic factors in elderly patients with severe coronavirus disease 2019 (COVID-19) is crucial for clinical management. Recent evidence suggests malnutrition and renal dysfunction are associated with poor outcome. This study aimed to develop a prognostic model incorporating prognostic nutritional index (PNI), estimated glomerular filtration rate (eGFR), and other parameters to predict mortality risk. This retrospective analysis included 155 elderly patients with severe COVID-19. Clinical data and outcomes were collected. Logistic regression analyzed independent mortality predictors. A joint predictor "L" incorporating PNI, eGFR, D-dimer, and lactate dehydrogenase (LDH) was developed and internally validated using bootstrapping. Decreased PNI (OR = 1.103, 95% CI: 0.78-1.169), decreased eGFR (OR = 0.964, 95% CI: 0.937-0.992), elevated D-dimer (OR = 1.001, 95% CI: 1.000-1.004), and LDH (OR = 1.005, 95% CI: 1.001-1.008) were independent mortality risk factors (all P < .05). The joint predictor "L" showed good discrimination (area under the curve [AUC] = 0.863) and calibration. The bootstrapped area under the curve was 0.858, confirming model stability. A combination of PNI, eGFR, D-dimer, and LDH provides useful prognostic information to identify elderly patients with severe COVID-19 at highest mortality risk for early intervention. Further external validation is warranted.

Dialysis parameters associated with SARS-CoV-2 infection and prognosis in end-stage kidney disease

Background The Covid-19 pandemic has affected patients with end-stage kidney disease (ESKD). Whether dialysis parameters have a prognostic value in ESKD patients with Covid-19 remains unclear. Materials and Methods We retrospectively evaluated clinical characteristics, blood pressure (BP) and dialysis parameters in ESKD patients undergoing maintenance outpatient hemodialysis, with (Covid-ESKD) and without (No-Covid-ESKD) Covid-19, at four Brazilian hemodialysis facilities. The Covid-ESKD (n = 107; 54% females; 60.8 ± 17.7 years) and No-Covid-ESKD (n = 107; 62% females; 58.4 ± 14.6 years) groups were matched by calendar time. The average BP and dialysis parameters were calculated during the pre-infection, acute infection, and post-infection periods. The main outcomes were Covid-19 hospitalization and all-cause mortality. Results Covid-ESKD patients had greater intradialytic and postdialysis systolic BP and lower predialysis weight, postdialysis weight, ultrafiltration rate, and interdialytic weight gain during acute-illness compared to 1-week-before-illness, while these changes were not observed in No-Covid-ESKD patients. After 286 days of follow-up (range, 276–591), there were 18 Covid-19-related hospitalizations and 28 deaths among Covid-ESKD patients. Multivariable logistic regression analysis showed that increases in predialysis systolic BP from 1-week-before-illness to acute-illness (OR, 95%CI = 1.06, 1.02–1.10; p = .004) and Covid-19 vaccination (OR, 95%CI = 0.16, 0.04–0.69; p = .014) were associated with hospitalization in Covid-ESKD patients. Multivariable Cox-regression analysis showed that Covid-19-related hospitalization (HR, 95%CI = 5.17, 2.07–12.96; p < .001) and age (HR, 95%CI = 1.05, 1.01–1.08; p = .008) were independent predictors of all-cause mortality in Covid-ESKD patients. Conclusion Acute Covid-19 illness is associated with variations in dialysis parameters of volume status in patients with ESKD. Furthermore, increases in predialysis BP during acute Covid-19 illness are associated with an adverse prognosis in Covid-ESKD patients.

Long-term prognostic ability of the GRACE 3.0 risk score in patients hospitalized for acute coronary syndromes

Abstract Funding Acknowledgements None. Background The GRACE 3.0 (GRS 3.0) is a risk assessment tool for in hospital mortality for patients admitted with acute coronary syndrome (ACS). This study sought to validate the accuracy of GRS 3.0 in predicting long-term mortality following a hospitalization for ACS. Methods We measured retrospectively all various factors included in GRS 3.0 such as age, heart rate, systolic blood pressure, creatinine, sex, cardiac arrest, ST-segment deviation on ECG, troponin elevation, and Killip Class. Multivariable Cox regression analysis was used. The discriminative ability of the GRACE 3.0 risk score was calculated by the c-index, which corresponds to the area under the ROC curve. Results 223 patients with ACS were included. During a median follow-up of 3 years, 57 (25.6%) patients died. Among the variables of GRS 3.0, age, heart rate, and troponin elevation at admission were the only independent predictors of mortality. The score had good discrimination for all-cause mortality (c-index=0.82, 95% CI 0.75–0.89) [Figure]. It performed equally well in both sexes. Conclusions The newly developed GRS 3.0 is well-performing for predicting long-term mortality in patients hospitalized for ACS. Thus, it may assist in tailored risk stratification and management of these patients following hospital discharge.

Long-term prognostic significance of stress hyperglycemia in patients with ST-elevation myocardial infarction

Abstract Funding Acknowledgements None. Background/aim Stress hyperglycemia is defined as hyperglycemia that occurs in critically ill patients without diabetes mellitus (DM). It is associated with adverse in-hospital outcomes in patients with ST elevation myocardial infarction (STEMI). The aim of the present study is to evaluate short- and long-term prognostic impact of stress hyperglycemia in STEMI patients. Method We analysed 2505 consecutive STEMI patients treated with successful primary PCI (pPCI) without previous DM and without cardiogenic shock at admission. Successful pPCI was defined as post-procedural flow TIMI 3. Stress hyperglycemia was defined as plasma glucose level above 7.8mmol/L at any time during hospitalization. The follow-up period was 6 years. Results Stress hyperglycemia at admission was registered in 685 (27.3%) patients. Compared with patients without stress hyperglycemia, patients with stress hyperglycemia were older and presented more often with heart failure (Killip class II and III); they were more likely to have hypertension, chronic kidney disease, three vessel coronary disease (at initial angiogram) and lower predischarge left ventricular ejection fraction (EF). In-hospital, 30-day and 6-year mortality were significantly higher in patients with stress hyperglycemia vs patients without stress hyperglycemia: 7.1% vs 1.5%, 7.5% vs 1.7% and 12.5% vs 4.6% (p&amp;lt;0.001), respectively as shown in Figure 1. In Cox regression analysis stress hyperglycemia was an independent predictor for in-hospital, 30-days and 6-year mortality- HR 2.19 (95% 1.49-3.94), p=0.018, HR 1,58(95%CI 1.15-2.85), p=0.020 and HR 1.52 (95%CI 1.32-2.17), p=0.030, respectively. Conclusion In STEMI patients without diabetes mellitus treated with successful primary PCI stress hyperglycemia is an independent predictor for short- and long-term mortality (up to 6-years). These findings emphasize the importance of close monitoring of blood glucose level in STEMI patients regardless of diabetic status.

The impact of frailty on clinical outcomes of older patients undergoing enhanced recovery after lumbar fusion surgery: A prospective cohort study.

Frailty is recognized as a surrogate for physiological age and has been established as a valid and independent predictor of postoperative morbidity, mortality, and complications. ERAS can enhance surgical safety by minimizing stress responses in frail patients, enabling surgeons to discharge patients earlier. However, the question of whether and to what extent the frailty impacts the post-ERAS outcomes in older patients remains. An evidence-based ERAS program was implemented in our center from January 2019. This is a prospective cohort study of patients aged ≥75 years who underwent open transforaminal lumbar interbody fusion (TLIF) for degenerative spine disease from April 2019 to October 2021. Frailty was assessed with the Fried frailty scale (FP scale), and patients were categorized as non/prefrail (FP 0-2) or frail (FP ≥ 3). The preoperative variables, operative data, postoperative outcomes and follow-up information were compared between the two groups. Univariate and multivariate logistic regression analyses were used to identify risk factors for 90-day major complications and prolonged length of hospital stay (LOS) after surgery. A total of 245 patients (age of 79.8 ± 3.4 yr) who had a preoperative FP score recorded and underwent scheduled TLIF surgery were included in the final analysis. Comparisons between non-frail and prefrail/frail patients revealed no significant difference in age, sex, and surgery-related variables. Even after adjusting for multiple comparisons, the association between Fried frailty and ADL-dependency, IADL-dependency, and malnutrition remained significant. Preoperative frailty was associated with increased rates of postoperative adverse events. A higher CCI grade was an independent predictor for 90-day major complications, while Fried frailty and MNA-SF scores <12 were predictive of poor postoperative recovery. Frail older patients had more adverse post-ERAS outcomes after TLIF compared to non/prefrail older patients. Continued research and multidisciplinary collaboration will be essential to refine and optimize protocols for surgical care in frail older adults.

Incremented Amyloid-beta values predict mortality during long-term follow-up in patients with acute myocardial infarction, both STEMI and NSTEMI

Abstract Funding Acknowledgements None. Background Both the amyloid-β (Aβ) isoforms, namely Aβ1-40 and Aβ1-42 are implicated in the pathogenesis of Alzheimer’s disease through different mechanisms. While Aβ42 easily forms oligomers in brain, Aβ1-40 is more abundant in circulation where it exerts a pro-inflammatory role. Recently, Aβ1-40 has raised interest in the cardiovascular field for its contribution to atherosclerosis, more specifically through plaque formation and destabilization. However, to date, the prognostic role of Aβ1-40 in patients with acute myocardial infarction (AMI) is limited to NSTEMI. Purpose Since there is a need for better risk stratification of AMI patients, we analyzed the impact of plasma Aβ1-40 on long-term mortality in a cohort of real-world patients with AMI, including STEMI and NSTEMI. Further, we sought to identify predictors for elevated Aβ1-40 levels. Methods Blood samples were obtained from patients hospitalized for AMI and Aβ1-40 levels were evaluated with Human Aβ40 ELISA Kit. The endpoint was all-cause mortality. Results Our population included 1119 consecutive patients, with a mean age of 67 years, 72% male, 2/3 of them had a first ischemic event and 68.4% had STEMI diagnosis. The median plasma Aβ1-40 concentration on admission was 86.9 [54.5-128.9] pg/ml and there was no difference in Aβ1-40 levels between NSTEMI and STEMI (93.6 [61.2-130.9] Vs. 85.3 [52.9-128.7] pg/ml, respectively, p=0.1). At logistic regression multivariate analysis, higher Aβ1-40 levels were predicted by older age, worse left ventricular systolic function, HbA1C &amp;gt; 39 mmol/mol and GFR&amp;lt;60ml/min/m 2 (Fig.1a). From the final multivariable model, a nomogram for prediction of high levels of Aβ1-40 was computed (Fig.1b). One hundred ninety-three patients (17.2%) died, during the median follow-up of 57 [30 - 80] months. Patients who died had significantly higher levels of Aβ1-40 compared to alive patients (113.1 [67.9 – 159.5] Vs. 83.9 [52.5 – 122.6] pg/ml, p&amp;lt;0.01). Higher plasma Aβ1-40 values were associated with increased mortality risk, in both STEMI and NSTEMI (p&amp;lt;0.01) (Fig.2a). Further, at Cox multivariate analysis including the whole population, Aβ1-40 levels were predictive of mortality (HR 1.03, p=0.02), together with older age, higher Il-1β, GFR&amp;lt;60ml/min/m 2 and worse left ventricular systolic function (Fig.2b). The predictive value of our final model was superior to GRACE score for up to 60 months (AUC 0.830 (0.793 – 0.868) Vs 0.797 (0.756 – 0.837), respectively, p=0.03, Fig.2c), after which they were comparable. Conclusions Elevated levels of Aβ1-40 values are independent predictors of long-term mortality in a real-world cohort including both STEMI and NSTEMI patients.

Urinary non-albumin protein-creatinine ratio is an independent predictor of mortality in patients with type 2 diabetes: a retrospective cohort study

Albuminuria is a well-known predictor of chronic kidney disease in patients with type 2 diabetes mellitus (DM). However, proteinuria is associated with chronic complications in patients without albuminuria. In this retrospective cohort study, we explored whether non-albumin proteinuria is associated with all-cause mortality and compared the effects of non-albumin proteinuria on all-cause mortality between patients with and without albuminuria. We retrospectively collected data from patients with type 2 DM for whom we had obtained measurements of both urinary albumin-to-creatinine ratio (UACR) and urinary protein-to-creatinine ratio (UPCR) from the same spot urine specimen. Urinary non-albumin protein-creatinine ratio (UNAPCR) was defined as UPCR–UACR. Of the 1809 enrolled subjects, 695 (38.4%) patients died over a median follow-up of 6.4 years. The cohort was separated into four subgroups according to UACR (30 mg/g) and UNAPCR (120 mg/g) to examine whether these indices are associated with all-cause mortality. Compared with the low UACR and low UNAPCR subgroup as the reference group, multivariable Cox regression analyses indicated no significant difference in mortality in the high UACR and low UNAPCR subgroup (hazard ratio [HR] 1.189, 95% confidence interval [CI] 0.889–1.589, P = 0.243), but mortality risks were significantly higher in the low UACR and high UNAPCR subgroup (HR 2.204, 95% CI 1.448–3.356, P < 0.001) and in the high UACR with high UNAPCR subgroup (HR 1.796, 95% CI 1.451–2.221, P < 0.001). In the multivariable Cox regression model with inclusion of both UACR and UNAPCR, UNAPCR ≥ 120 mg/g was significantly associated with an increased mortality risk (HR 1.655, 95% CI 1.324–2.070, P < 0.001), but UACR ≥ 30 mg/g was not significantly associated with mortality risk (HR 1.046, 95% CI 0.820–1.334, P = 0.717). In conclusion, UNAPCR is an independent predictor of all-cause mortality in patients with type 2 DM.

Ischemic stroke subtypes: risk factors, treatments, and 1-month prognosis – The Lille, France Stroke Registry

ObjectivesFirst, this registry-based study aimed to comprehensively analyze patients' medical histories and treatments based on ischemic strokes’ etiology. We focused on the management of atrial fibrillation among patients diagnosed with cardioembolic stroke. Then, our objective was to identify prognostic factors associated with 28-day mortality. Materials and methodsAll ischemic strokes occurring in adults between 2014 and 2021 in Lille, France, were categorized using the TOAST classification. Comparative analyses of patients' medical characteristics were conducted across subtypes. Survival rates within 28 days post-stroke were assessed, and factors influencing mortality were identified using a multivariate Cox model. Results1912 ischemic strokes were recorded, due to cardioembolism (36%), large-artery atherosclerosis (9%), small-artery occlusion (9%), other determined causes (6%), or undetermined causes (39%). The median NIHSS score after cardioembolic stroke (6, IQR: 3-13) was twice that after small-artery occlusion (3, IQR: 2-5). Among patients with cardioembolic stroke, 26% were diagnosed post-admission with atrial fibrillation. For the 42% diagnosed pre-admission, only 54% had prior prescriptions for oral anticoagulants. Reperfusion therapies were administered in 21% of cases, with significant variations across subtypes. Mortality rates were higher after cardioembolic strokes (17%) than after small-artery occlusions (3%). Prognostic factors included etiology, high NIHSS score, atrial fibrillation, and previous heparin prescription. ConclusionsWhile atrial fibrillation was underdiagnosed and undertreated, patients with cardioembolic stroke exhibited high severity and elevated mortality rates. Etiology emerged as an independent predictor of early mortality, regardless of NIHSS score upon admission. These findings underscore the importance of targeted prevention to improve patient outcomes after ischemic stroke.

Social Isolation, Loneliness, and Cardiovascular Mortality: The Role of Health Care System Interventions.

The world is proliferating rapidly, with science and technology advancing at an incredible rate. These advances have, however, ushered in an age with a rise in social isolation (SI) and loneliness. SI is an objective term that refers to lacking social contact or support. On the other hand, loneliness is subjective and refers to feeling alone or isolated. These concepts are rapidly gaining prominence mainly due to their negative impact on the physical and psychological health of the population, mainly through behavioural modifications that encompass substance abuse, decreased physical activity and unhealthy food habits, and poor sleep hygiene. This review summarizes the pathophysiology, evaluates the evidence behind impact of SI on cardiovascular mortality, and interventions to overcome SI. Through proposed mechanisms, such as activation of the sympathetic nervous system and the hypothalamic-pituitary-adrenal axis, both SI and loneliness have strong evidence linking them to cardiovascular morbidity and mortality. A systematic review and meta-analysis of 90 prospective cohort studies including 2,205,199 individuals reported that SI was independent predictor of cardiovascular mortality with a point estimate of 1.34 (95% confidence interval:1.25-1.44). The evidence so far is compelling and necessitates urgent action with the implementation of strict policies to tackle this issue. As healthcare professionals, it becomes even more critical to remain vigilant, recognize this insidious pandemic, and take appropriate action.

Electrocardiographic abnormalities are prognostic of the clinical outcomes and mortality of patients with subarachnoid hemorrhages

PurposeWe explored the relationships between electrocardiographic (ECG) abnormalities and the clinical outcomes and mortality of patients with non-traumatic aneurysmal subarachnoid hemorrhages (SAHs). MethodsThis retrospective cohort study enrolled consecutive adult patients who presented to emergency departments with non-traumatic aneurysmal SAHs. We recorded their demographics, clinical characteristics, and ECG findings, and explored the relationships between ECG abnormalities, on the one hand, and 28-day mortality and prognosis, on the other. ResultsWe enrolled 158 patients, 76 females (48.10%) and 82 males (51.90%) of average age 54.70 ± 7.07 years. A total of 107 patients (67.72%) exhibited at least one ECG abnormality, most commonly a T-wave change (n = 54, 34.18%). Such patients evidenced significantly higher Hunt-Hess and Fisher scale scores than those without abnormalities (both p < 0.001). Patients with abnormal ECG findings experienced more unfavorable outcomes and higher mortality than others (both p < 0.001). ECG abnormalities, including PR prolongation, pathological Q waves, QRS widening, left bundle branch blocks, premature ventricular contractions, ST segment changes, and T-wave changes, were more common in non-survivors and patients with Hunt-Hess scores of 4–5 compared to survivors and those with Hunt-Hess scores <4, respectively. Moreover, increased age and presence of abnormal ECG findings were independent predictors of mortality in aneurysmal SAHs. ConclusionsPatients with abnormal ECG findings exhibited unfavorable clinical outcomes and increased mortality rates. Abnormal ECG findings combined with higher Hunt-Hess or Fischer grade scores usefully predict adverse clinical outcomes in and mortality of SAH patients.

Rhabdomyolysis, acute kidney injury, and mortality in Ebola virus disease: retrospective analysis of cases from Eastern Democratic Republic of the Congo, 2019.

Skeletal muscle injury in Ebola virus disease (EVD) has been reported, but its association with morbidity and mortality remains poorly defined. Retrospective study of patients admitted to two EVD Treatment Units, over an eight-month period in 2019, during a large EVD epidemic in the Democratic Republic of the Congo. 333 patients (median age 30 years, 58% female) had at least one creatine kinase (CK) measurement (total 2,229 CK measurements, median 5 (IQR 1-11) per patient). 271 patients (81%) had an elevated CK (>380U/L), 202 (61%) had rhabdomyolysis (CK>1,000 IU/L), and 45 (14%) had severe rhabdomyolysis (≥5,000U/L). Among survivors, the maximum CK level was median 1,600 (IQR 550 to 3,400), peaking 3.4 days after admission (IQR 2.3 to 5.5) and decreasing thereafter. Among fatal cases, the CK rose monotonically until death, with maximum CK level of median 2,900 U/L (IQR 1,500 to 4,900). Rhabdomyolysis at admission was an independent predictor of AKI (aOR 2.2 [95%CI 1.2-3.8], p=0.0065) and mortality (aHR 1.7 [95%CI 1.03-2.9], p=0.037). Rhabdomyolysis is associated with AKI and mortality in EVD patients. These findings may inform clinical practice by identifying lab monitoring priorities and highlighting the importance of fluid management.

Time to maximum amplitude of thromboelastography can predict mortality in patients with severe COVID-19: a retrospective observational study.

To predict mortality in severe patients with COVID-19 at admission to the intensive care unit (ICU) using thromboelastography (TEG). This retrospective, two-center, observational study involved 87 patients with PCR-and chest CT-confirmed severe COVID-19 who were admitted to at Wuhan Huoshenshan Hospital and the 908th Hospital of Chinese PLA Logistic Support Force between February 2020 and February 2023. Clinic demographics, laboratory results, and outcomes were compared between those who survived and those who died during hospitalization. Thromboelastography showed that of the 87 patients, 14 were in a hypercoagulable state, 25 were in a hypocoagulable state, and 48 were normal, based on the time to maximum amplitude (TMA). Patients who died showed significantly lower α angle, but significantly longer R-time, K-time and TMA than patients who survived. Random forest selection showed that K-time, TMA, prothrombin time (PT), international normalized ratio (INR), D-dimer, C-reactive protein (CRP), aspartate aminotransferase (AST), and total bilirubin (Tbil) were significant predictors. Multivariate logistic regression identified that TMA and CRP were independently associated with mortality. TMA had a greater predictive power than CRP levels based on time-dependent AUCs. Patients with TMA ≥ 26.4 min were at significantly higher risk of mortality (hazard ratio 3.99, 95% Confidence Interval, 1.92-8.27, p < 0.01). TMA ≥26.4 min at admission to ICU may be an independent predictor of in-hospital mortality for patients with severe COVID-19.