Predictive Factors Of In-hospital Mortality Research Articles

Catheter-Directed Therapies in Patients with Pulmonary Embolism: Predictive Factors of In-Hospital Mortality and Long-Term Follow-Up.

(1) Background: Catheter-directed therapies (CDT) may be considered for selected patients with pulmonary embolism (PE); (2) Methods: Retrospective observational study including all consecutive patients with acute PE undergoing CDT (mechanical or pharmacomechanical) from January 2010 through December 2020. The aim was to evaluate in-hospital and long-term mortality and its predictive factors; (3) Results: We included 63 patients, 43 (68.3%) with high-risk PE. All patients underwent mechanical CDT and, additionally, 27 (43%) underwent catheter-directed thrombolysis. Twelve (19%) patients received failed systemic thrombolysis (ST) prior to CDT, and an inferior vena cava (IVC) filter was inserted in 28 (44.5%) patients. In-hospital PE-related and all-cause mortality rates were 31.7%; 95% CI 20.6–44.7% and 42.9%; 95% CI 30.5–56%, respectively. In multivariate analysis, age > 70 years and previous ST were strongly associated with PE-related and all-cause mortality, while IVC filter insertion during the CDT was associated with lower mortality rates. After a median follow-up of 40 (12–60) months, 11 more patients died (mortality rate of 60.3%; 95% CI 47.2–72.4%). Long-term survival was significantly higher in patients who received an IVC filter; (4) Conclusions: Age > 70 years and failure of previous ST were associated with mortality in acute PE patients treated with CDT. In-hospital and long-term mortality were lower in patients who received IVC filter insertion.

Clinical Outcomes Following Emergent Percutaneous Coronary Intervention for Acute Total/Subtotal Occlusion of the Left Main Coronary Artery.

Data regarding the clinical features, outcomes and prognostic factors in patients presenting with acute total/subtotal occlusion of the unprotected left main coronary artery (LMCA) remain limited. From a multi-center registry, 134 patients due to acute total/subtotal occlusion of the unprotected LMCA were reviewed. Emergency room (ER) status classification was defined according to the presence of cardiogenic shock and cardiopulmonary arrest (CPA) in the ER (class 1=no cardiogenic shock; class 2= cardiogenic shock but not CPA; and class 3=CPA). In-hospital mortality and cerebral performance category (CPC) as the endpoints were evaluated. One-half (67/134) of the enrolled patients presented with total occlusion of the unprotected LMCA. Regarding ER status classification, class 1, 2, and 3 were observed in 30.6%, 45.5%, and 23.9% of the patients, respectively. In-hospital mortality occurred in 73 (54.5%) patients; of the remaining patients, 52 (85.3%) could be discharged with a CPC 1 or 2. ER status classification (odds ratio 4.4 [95% confidence interval: 2.33-10.67]; P<0.001) and total occlusion of the unprotected LMCA (odds ratio 8.29 [95% confidence interval 2.93-23.46]; P<0.001) were strong predictors of in-hospital mortality. Acute total/subtotal occlusion involving the unprotected LMCA appeared to be associated with high in-hospital mortality. ER status classification and initial flow in the unprotected LMCA were significant predictive factors of in-hospital mortality.

Endothelium Activation Markers in Severe Hospitalized COVID-19 Patients: Role in Mortality Risk Prediction.

Introduction Endothelial damage and hypercoagulability are major players behind the hemostatic derangement of SARS-CoV-2 infection. Aim In this prospective study we assessed endothelial and inflammatory biomarkers in a cohort of COVID-19 patients, aiming to identify predictive factors of in-hospital mortality. Methods COVID-19 patients hospitalized in intensive care (ICU) and non-ICU units at 2 Bergamo (Italy) hospitals from March 23 to May 30, 2020, were enrolled. Markers of endothelium activation including von-Willebrand factor (vWF), soluble thrombomodulin (sTM), and fibrinolytic proteins (t-PA and PAI-1) were measured. Additionally, D-dimer, Fibrinogen, FVIII, nucleosomes, C reactive protein (CRP) and procalcitonin were assessed. Results Sixty-three (45 ICU, and 18 non-ICU) patients, with a median age of 62 years were analyzed. Increased plasma levels of D-dimer, FVIII, fibrinogen, nucleosomes, CRP, and procalcitonin were observed in the whole cohort. Extremely elevated vWF levels characterized all patients (highest values in ICU-subjects). After a median time of 30 days, death occurred in 13 (21%) patients. By multivariable analysis, vWF-activity, neutrophil-count and PaO2/FiO2 were significantly associated with death. Using these variables, a linear score with 3-risk groups was generated that provided a cumulative incidence of death of 0% in the low-, 32% in the intermediate-, and 78% in the high-risk group. Conclusions COVID-19-induced hemostatic abnormalities are exacerbated by the severity of the disease and strongly correlate with the inflammatory status, underlying the link between coagulation, endothelial activation, and inflammation. Our study provides evidence for a role of vWF, together with neutrophils and PaO2/FiO2, as a significant predictor of in-hospital mortality by SARSCoV-2 infection.

D-dimer at hospital admission for COVID-19 are associated with in-hospital mortality, independent of venous thromboembolism: Insights from a French multicenter cohort study

BackgroundCoronavirus disease 2019 (COVID-19) has been associated with coagulation disorders, in particular high concentrations of D-dimer, and increased frequency of venous thromboembolism.AimTo explore the association between D-dimer at admission and in-hospital mortality in patients hospitalised for COVID-19, with or without symptomatic venous thromboembolism.MethodsFrom 26 February to 20 April 2020, D-dimer concentration at admission and outcomes (in-hospital mortality and venous thromboembolism) of patients hospitalised for COVID-19 in medical wards were retrospectively analysed in a multicenter study in 24 French hospitals.ResultsAmong 2878 patients enrolled in the study, 1154 (40.1%) patients had D-dimer measurement at admission. Receiver operating characteristic curve analysis identified a D-dimer concentration > 1128 ng/mL as the best cut-off value for in-hospital mortality (area under the curve 64.9%, 95% confidence interval [CI] 60–69), with a sensitivity of 71.1% (95% CI 62–78) and a specificity of 55.6% (95% CI 52–58), which did not differ in the subgroup of patients with venous thromboembolism during hospitalisation. Among 545 (47.2%) patients with D-dimer concentration > 1128 ng/mL at admission, 86 (15.8%) deaths occurred during hospitalisation. After adjustment, in Cox proportional hazards and logistic regression models, D-dimer concentration > 1128 ng/mL at admission was also associated with a worse prognosis, with an odds ratio of 3.07 (95% CI 2.05–4.69; P < 0.001) and an adjusted hazard ratio of 2.11 (95% CI 1.31–3.4; P < 0.01).ConclusionsD-dimer concentration > 1128 ng/mL is a relevant predictive factor for in-hospital mortality in patients hospitalised for COVID-19 in a medical ward, regardless of the occurrence of venous thromboembolism during hospitalisation.

Circulating Von Willebrand factor and high molecular weight multimers as markers of endothelial injury predict COVID-19 in-hospital mortality.

BackgroundCoronavirus disease 2019 (COVID-19) is a respiratory disease associated with endotheliitis and microthrombosis.ObjectivesTo correlate endothelial dysfunction to in-hospital mortality in a bi-centric cohort of COVID-19 adult patients.MethodsConsecutive ambulatory and hospitalized patients with laboratory-confirmed COVID-19 were enrolled. A panel of endothelial biomarkers and von Willebrand factor (VWF) multimers were measured in each patient ≤ 48 h following admission.ResultsStudy enrolled 208 COVID-19 patients of whom 23 were mild outpatients and 189 patients hospitalized after admission. Most of endothelial biomarkers tested were found increased in the 89 critical patients transferred to intensive care unit. However, only von Willebrand factor antigen (VWF:Ag) scaled according to clinical severity, with levels significantly higher in critical patients (median 507%, IQR 428–596) compared to non-critical patients (288%, 230–350, p < 0.0001) or COVID-19 outpatients (144%, 133–198, p = 0.007). Moreover, VWF high molecular weight multimers (HMWM) were significantly higher in critical patients (median ratio 1.18, IQR 0.86–1.09) compared to non-critical patients (0.96, 1.04–1.39, p < 0.001). Among all endothelial biomarkers measured, ROC curve analysis identified a VWF:Ag cut-off of 423% as the best predictor for in-hospital mortality. The accuracy of VWF:Ag was further confirmed in a Kaplan–Meier estimator analysis and a Cox proportional Hazard model adjusted on age, BMI, C-reactive protein and d-dimer levels.ConclusionVWF:Ag is a relevant predictive factor for in-hospital mortality in COVID-19 patients. More than a biomarker, we hypothesize that VWF, including excess of HMWM forms, drives microthrombosis in COVID-19.

Clinical features and predictive factors of in-hospital mortality in infective endocarditis

Infective endocarditis (IE) is a severe infection with high in-hospital mortality rate. Identification of patients at high risk of death may improve their outcomes. We aim to determine clinical features and predictive factors of intra hospital mortality in patients with IE. Retrospective single-center study including patients with IE admitted during 17 years (1998–2015) in Cardiology B department of Fattouma Bourguiba University Hospital. Diagnosis of IE was made according to the modified Duke classification. A Total of 235 patients were included, 56.3% were male. Mea age was 36 ± 17 years. Forty-three percent of them had previous valvular heart disease. Prosthetic IE occurred in 25.1%. Mitral valve was the most affected by infection. In-hospital mortality rate was 18.3% (43 patients). Dead patients presented significatively more heart failure at admission (53.5% vs. 25.7%, P < 0.001), peripheral embolization (32.6% vs. 5.7%, P = 0.012), major cerebro-vascular events such as hemorrhagic stroke (16.3% vs. 3.7%, P = 0.002), mycotic cerebral aneurysm (14% vs. 4.2%, P = 0.02) and cerebral abcess (7% vs. 0.5%, P = 0.017). In multivaraite analysis, predictive factors of in-hospital death were heart failure at admission (OR = 3.8, 95% CI: 1.8–7.9, P < 0.001), embolic events (OR = 2.28, 95% CI: 1.01–5.2, P = 0.02) and hemorrhagic stroke (OR = 6.06, 95% CI: 1.8–19.5, P = 0.017). IE remains awful disease with high mortality rate. The risk factors of in-hospital death were heart failure, embolic events and hemorrhagic stroke.

Clinical Significance of congestive heart failure in prosthetic valve endocarditis. an Algeria multicenter study with 157 patients

We studied the incidence of congestive heart failure in patients with prosthetic valve endocarditis and analyzed its profile. In this study, we addressed the prognostic significance of heart failure in patients with prosthetic valve endocarditis and analyzed its outcome based on chosen therapeutic strategies. A total of 439 episodes of definite left-sided endocarditis were prospectively enrolled. Of them, 157 were prosthetic. Of the 157 episodes, 88 (56%) were diagnosed with heart failure. We compared the profiles of patients with prosthetic valve endocarditis based on the presence of heart failure, and performed a multivariate logistic regression model to establish the prognostic significance of heart failure in patients with prosthetic valve endocarditis. Persistent infection (odds ratio = 3.6; 95% confidence interval, 1.9–6.9) and heart failure (odds ratio = 3; 95% confidence interval, 1.5–5.8) are the strongest predictive factors of in-hospital mortality in patients with prosthetic valve endocarditis. The short-term determinants of prognosis in patients with prosthetic valve endocarditis and heart failure are persistent infection (odds ratio = 2.8; 95% confidence interval, 1.2–6.5), aortic involvement (odds ratio = 2.5; 95% confidence interval, 1.1–5.8), abscess (odds ratio = 3.6; 95% confidence interval, 1.4–9.5), diabetes mellitus (odds ratio = 2.9; 95% confidence interval, 1.1–7.7), and cardiac surgery (odds ratio = 0.2; 95% confidence interval, 0.1–0.5). The incidence of heart failure in patients with prosthetic valve endocarditis is very high. Heart failure increases the risk of in-hospital mortality by threefold in patient with prosthetic valve endocarditis. Persistent infection, aortic involvement, abscess, and diabetes mellitus are the independent risk factors associated with mortality in patients with prosthetic valve endocarditis and heart failure

Trends in Premature Deaths among Women Living with HIV/AIDS and Cervical Cancer.

There is a lack of updated information on premature death and years of potential life lost (YPLL) among human immunodeficiency (HIV)-positive women with cervical cancer. We hypothesize that increased access to preventive resources such as antiretroviral therapy, preexposure prophylaxis, and human papillomavirus vaccines has reduced premature mortality and YPLL in these women in the previous decades. We used data from the National Inpatient Sample database from 2003 to the third quarter of 2015, and restricted the analysis to HIV-positive women with or without cervical cancer. Joinpoint regression models were run to identify trends in the rates of HIV and cervical cancer. Overall and age-stratified YPLL were calculated for HIV-positive women with cervical cancer. Adjusted survey logistic regression models were built to determine the predictive factors of in-hospital mortality among women living with HIV. Among hospitalized women, low-income, non-Hispanic Blacks, and patients aged 40 to 59 years experienced greater frequencies of HIV/cervical cancer comorbidity. The prevalence of HIV hospitalizations increased by an average annual percentage of 0.9% (95% confidence interval 0.3-1.6). YPLL decreased in HIV-positive women living with and without cervical cancer by 4.9% and 4.3%, respectively. The trajectory for YPLL was not uniform across age groups. YPLL decreased substantially in women aged 20 to 29 years with HIV/cervical cancer comorbidity. Cervical cancer remained a significant predictor of mortality among HIV-positive women when adjusted for age, race, and insurance coverage. Within a large, national sample from 2003 to 2015, we found an overall declining trend in YPLL in women living with HIV/cervical cancer comorbidity. In-hospital mortality among HIV-positive women was associated with cervical cancer, age, race, and insurance coverage. We recommend further investigation into the quality of HIV and cervical cancer treatment and prevention services for the sociodemographic groups described.

Abstract 13016: Clinical Outcomes Following Emergent Percutaneous Coronary Intervention for Acute Total/subtotal Occlusion of the Left Main Coronary Artery

Introduction: Acute coronary syndrome involving the unprotected left main coronary artery (LMCA) is a fatal event. However, data regarding clinical features and outcomes in patients presenting with acute total/subtotal occlusion of the unprotected LMCA remain limited, and the impact of vital status in the emergency room (ER) remains unknown in such subjects. Methods: From a multi-center registry of 11977 emergent percutaneous coronary interventions (PCIs), 134 patients due to acute total/subtotal occlusion of the unprotected LMCA were reviewed. ER status classification was defined according to the presence of cardiogenic shock and cardiopulmonary arrest (CPA) in the ER (class 1=no cardiogenic shock; class 2= cardiogenic shock but not CPA; and class 3=CPA). We evaluated in-hospital mortality and cerebral performance category (CPC) as the endpoints. Results: One-half (67/134) of the enrolled patients presented with total occlusion of the unprotected LMCA. Regarding ER status classification, class 1, 2, and 3 were observed in 30.6%, 45.5%, and 23.9% of the patients, respectively. In-hospital mortality occurred in 73 (54.5%) patients, then of the remaining patients, 52 (85.3%) could be discharged with favorable neurological outcomes (CPC 1 or 2). ER status classification (odds ratio 4.79 [95% confidence interval: 2.39-9.62]; p&lt;0.001) and total occlusion of the unprotected LMCA (odds ratio 5.79 [95% confidence interval 2.27-14.73]; p&lt;0.001) were strong predictors of in-hospital mortality. Conclusions: Acute total/subtotal occlusion involving the unprotected LMCA appeared to be associated with high in-hospital mortality. ER status classification and initial flow in the unprotected LMCA were important predictive factors of in-hospital mortality.

Troponin Elevation in Older Patients with Acute Pneumonia: Frequency and Prognostic Value.

Cardiovascular (CV) events are particularly frequent after acute pneumonia (AP) in the elderly. We aimed to assess whether cardiac troponin I, a specific biomarker of myocardial injury, independently predicts CV events and death after AP in older inpatients. Among 214 consecutive patients with AP aged ≥75 years admitted to a university hospital, 171 with a cardiac troponin I sample in the 72 h following diagnosis of AP were included, and 71 (42%) were found to have myocardial injury (troponin > 100 ng/L). Patients with and without myocardial injury were similar in terms of age, gender and comorbidities, but those with myocardial injury had more severe clinical presentation (median (interquartile range) Pneumonia Severity Index: 60 (40–95) vs. 45 (30–70), p = 0.003). Myocardial injury was strongly associated with in-hospital myocardial infarction (25% vs. 0%, p < 0.001), CV mortality (11 vs. 1%, p = 0.003) and all-cause mortality (34 vs. 13%, p = 0.002). After adjustment for confounders, myocardial injury remained a strong predictive factor of in-hospital mortality (odds ratio (95% confidence interval): 3.32 (1.42–7.73), p = 0.005) but not one-year mortality (1.61 (0.77–3.35), p = 0.2). Cardiac troponin I elevation, a specific biomarker of myocardial injury, was found in nearly half of an unselected cohort of older inpatients with AP and was associated with a threefold risk of in-hospital death.

Prognostic value of the combined variability of mean platelet volume and neutrophil percentage for short-term clinical outcomes of sepsis patients

ABSTRACT Introduction In this single center retrospective cohort study, 784 patients with sepsis were enrolled and followed up for at least 30 days. The selected endpoint was an all-cause mortality event. Method The relationship between MPV-CV + NEU%-CV and all-cause mortality (in-hospital and 30-day) was analyzed by categorizing the patients into four groups according to MPV-CV and NEU%-CV values. For in-hospital mortality, a significantly higher risk of mortality was observed in patients with an MPV-CV ≥ 15.00% + NEU%-CV ≥ 16.00% than in patients of the other groups (P < 0.001). After adjustment for age, sex, body mass index (BMI), infection site, Acute Physiology and Chronic Health Evaluation (APACHE) II score, Sequential Organ Failure Assessment (SOFA) score, use of vasoactive drugs, mechanical ventilation and renal replacement therapy (RRT), hematocrit, albumin, procalcitonin (PCT), and lactate, logistic regression analysis revealed that an MPV-CV ≥ 15.00% + NEU%-CV ≥ 16.00% was an independent predictive factor for in-hospital mortality [adjusted model: odds ratio (OR) = 4.48, 95% CI = 2.92–6.88, P = 0.001]. Results After adjustment for age, sex, BMI, infection site, APACHE II score, SOFA score, hematocrit, albumin, PCT, lactate, and the use of vasoactive drugs, mechanical ventilation, and RRT, Cox proportional-hazards regression model revealed that an MPV-CV ≥ 15.00% + NEU%-CV ≥ 16.00% was an independent predictive factor for 30-day mortality [adjusted model 1: hazard ratio (HR) = 7.69, 95% CI = 4.15–14.24, P < 0.001; adjusted model 2: HR = 4.07, 95% CI = 2.50–6.62, P < 0.001]. Conclusion The combination of MPV-CV and NEU%-CV provides a good prognostic value and is a strong independent predictor of short-term clinical outcomes in patients with sepsis. An MPV-CV ≥ 15.00% + NEU%-CV ≥ 16.00% is significantly associated with adverse short-term clinical outcomes. Trial registration number is XJTU2AF2016LSY-04, the registration date is December 2018.

Predictor of in-hospital mortality among acute coronary syndrome patients after treatment with an intra-aortic balloon pump in tertiary Hospital, Thailand

Objective: Intra-aortic balloon pump (IABP), a mechanical hemodynamic support device, had widely been used to treat cardiogenic shock patients for several decades. However, the information about the predictive factors associated with mortality was scarce. This study aims to identify the predictive factors associated with in-hospital mortality in acute coronary syndrome (ACS) patients who performed IABP for their hemodynamic support during admission.Methods: We conduct a retrospective cohort study design. All admission records of ACS patients with IABP at Suratthani Hospital between October 2015 and September 2019 were retrieved.Results: Overall 75 ACS patients with IABP insertion were enrolled. Thirty-one patients died during admission, in-hospital mortality was 41.3%. From the multivariable analysis, we identified 3 predictors associated with in-hospital mortality included cardiac arrest at presentation (adjusted OR [aOR]=11.18, 95%CI: 2.42-51.57, P=0.002), a higher number of inotropes or vasopressors (aOR 6.10, 95%CI 1.36-27.24, P=0.018) and Killip class IV (aOR 5.64, 95%CI 1.01-31.39, P=0.048).Conclusion: ACS patients who required IABP support had high mortality. Cardiac arrest, Killip class IV (cardiogenic shock) at presentation and requiring a higher number of inotropes or vasopressors were independent predictive factors of in-hospital mortality.

The neutrophil-to-lymphocyte ratio has feasible predictive value for hospital mortality in patients with small bowel obstruction in the emergency department.

The neutrophil-to-lymphocyte ratio (NLR) is an effective predictor of mortality in patients with various conditions. To the best of our knowledge, there have been no previous studies on the NLR as a prognostic marker for small bowel obstruction (SBO), especially on admission to the emergency department (ED). From January 2009 to December 2018, 653 patients diagnosed with SBO in the ED were included. Clinical and laboratory results, including the NLR, were evaluated as variables. The NLR was calculated as follows: NLR=absolute neutrophil count/absolute lymphocyte count. To evaluate SBO prognosis, data on hospital mortality and intensive care unit (ICU) admission were obtained. Multivariate logistic regression analysis and receiver operating characteristic (ROC) curve analysis were performed. Among the 653 patients, 16 (2.4%) died and 35 (5.3%) were admitted to the ICU during hospitalization. Multivariate logistic regression analysis demonstrated the NLR as an independent factor for predicting death (odds ratio, 1.3; p=0.017]); however, there was no statistical significance for ICU admission (p=0.94). The NLR showed good predictive performance for in-hospital mortality (area under the ROC curve, 0.768 [95% confidence interval, 0.620-0.861]; cut-off value, 10.6; p=0.018). The NLR was positively associated with poor SBO prognosis. An elevated NLR was an independent predictive factor for in-hospital mortality in SBO patients. Emergency physicians should consider the NLR for SBO prognosis, and timely, aggressive, and prompt treatment is required, especially in patients with an NLR >10.6.

Chest X-ray severity index as a predictor of in-hospital mortality in coronavirus disease 2019: A study of 302 patients from Italy

ObjectivesThis study aimed to assess the usefulness of a new chest X-ray scoring system — the Brixia score — to predict the risk of in-hospital mortality in hospitalized patients with coronavirus disease 2019 (COVID-19). MethodsBetween March 4, 2020 and March 24, 2020, all CXR reports including the Brixia score were retrieved. We enrolled only hospitalized Caucasian patients with COVID-19 for whom the final outcome was available. For each patient, age, sex, underlying comorbidities, immunosuppressive therapies, and the CXR report containing the highest score were considered for analysis. These independent variables were analyzed using a multivariable logistic regression model to extract the predictive factors for in-hospital mortality. Results302 Caucasian patients who were hospitalized for COVID-19 were enrolled. In the multivariable logistic regression model, only Brixia score, patient age, and conditions that induced immunosuppression were the significant predictive factors for in-hospital mortality. According to receiver operating characteristic curve analyses, the optimal cutoff values for Brixia score and patient age were 8 points and 71 years, respectively. Three different models that included the Brixia score showed excellent predictive power. ConclusionsPatients with a high Brixia score and at least one other predictive factor had the highest risk of in-hospital death.

Anticholinergic Cognitive Burden as a Predictive Factor for In-hospital Mortality in Older Patients in Korea.

BackgroundWith the increasing prevalence of chronic disease due to aging, many older adults experience multimorbidity and polypharmacy. Medications with anticholinergic properties are particularly associated with adverse cognitive outcomes, including functional decline and mortality. We assessed the clinical impact of anticholinergic cognitive burden (ACB) on clinical outcomes of older patients acutely admitted to a single, hospitalist-operated medical unit of a tertiary hospital in Korea.MethodsThis retrospective study reviewed electronic medical records of 318 patients aged 65 years or older admitted to the hospitalist-operated medical unit through the emergency department of Seoul National University Hospital. The analyzed clinical outcomes were the length of hospital stay, in-hospital mortality, unplanned intensive care unit admission, and unexpected readmission within 30 days.ResultsThe clinical outcomes did not differ between patients who took five or more drugs and those who did not. Patients with an ACB score of 3 or higher had a higher in-hospital mortality rate and longer hospital stay than those who did not. After adjusting for confounding factors, an ACB score of 3 or higher was an independent predictive factor for in-hospital mortality (odds ratio=3.09; 95% confidence interval, 1.18–8.06).ConclusionACB rather than the number of medications was associated with in-hospital mortality in acutely ill older patients. Further analytic and interventional studies are required to assess potentially inappropriate medication use and ACB in older inpatients.

Infective endocarditis; Staphylococcus aureus versus other pathogens

Infective endocarditis (IE) remains a life-threatening disease. Clinical features, epidemiological parameters, and bacteriological profile are changing over the years and necessitate periodical evaluation. To determine clinical, and prognostic features of Staphylococcus aureus infective endocarditis (IE) compared with endocarditis caused by other pathogens. We conducted a prospective study which included 240 patients diagnosed with infective endocarditis (IE) according to the Duke criteria and hospitalized in the cardiology department of Monastir hospital between 1983 and 2017. Patients without identified microorganisms were excluded. The S. aureus IE group ( n = 72) was compared with the group with IE caused by other pathogens ( n = 121). S. aureus IE was characterised by severe co-morbidity, a shorter duration of symptoms before diagnosis, and a higher prevalence of right-sided IE Compared with IE caused by other pathogens. Cutaneous portal of entry, and history of renal failure were more common in S. aureus IE. Severe sepsis, major neurological events, and multiple organ failure were more frequent during the acute phase in S. aureus IE. In-hospital mortality (29% vs. 9%, P < 0.001) was higher in patients with S. aureus IE and the 12 months survival rate was lower in S. aureus IE than in IE caused by other pathogens (51% vs. 69%, P = 0.002). Multivariate analyses identified S. aureus infection as a predictive factor for in-hospital mortality and for overall mortality. S. aureus IE compared with IE caused by other pathogens is characterised by a higher prevalence of severe sepsis, major neurological events and organ failure leading to higher mortality.

Clinical significance of congestive heart failure in prosthetic valve endocarditis. An Algeria multicenter study

We studied the incidence of congestive heart failure in patients with prosthetic valve endocarditis and analyzed its profile. In this study, we addressed the prognostic significance of heart failure in patients with prosthetic valve endocarditis and analyzed its outcome based on chosen therapeutic strategies. A total of 239 episodes of definite left-sided endocarditis were prospectively enrolled. Of them, 97 were prosthetic. Fifty-four (56%) were diagnosed with heart failure. We compared the profiles of patients with prosthetic valve endocarditis based on the presence of heart failure, and performed a multivariate logistic regression model to establish the prognostic significance of heart failure in patients with prosthetic valve endocarditis. Persistent infection (odds ratio = 3.6; 95% confidence interval, 1.9–6.9) and heart failure (odds ratio = 3; 95% confidence interval, 1.5–5.8) are the strongest predictive factors of in-hospital mortality in patients with prosthetic valve endocarditis. The short-term determinants of prognosis in patients with prosthetic valve endocarditis and heart failure are persistent infection (odds ratio = 2.8; 95% confidence interval, 1.2-6.5), aortic involvement (odds ratio = 2.5; 95% confidence interval, 1.1–5.8), abscess (odds ratio = 3.6; 95% confidence interval, 1.4–9.5), diabetes mellitus (odds ratio = 2.9; 95% confidence interval, 1.1–7.7), and cardiac surgery (odds ratio = 0.2; 95% confidence interval, 0.1–0.5). The incidence of heart failure in patients with prosthetic valve endocarditis is very high. Heart failure increases the risk of in-hospital mortality by threefold in patients with prosthetic valve endocarditis. Persistent infection, aortic involvement, abscess, and diabetes mellitus are the independent risk factors associated with mortality in patients with prosthetic valve endocarditis and heart failure; however, cardiac surgery is shown to decrease mortality in these patients.

Baseline and clinical characteristics of older adults admitted to the intensive care unit through the emergency room: Analysis based on age groups

Background and Objectives: There is currently no consensus on the criteria for admitting older adults to the intensive care unit. Methods: This single-center retrospective study evaluated the baseline and clinical characteristics of older adults admitted to the intensive care unit between January 2017 and June 2017; patients were analyzed according to their age group. Factors associated with in-hospital mortality were specifically determined using logistic regression analysis. Results: Among 582 patients included in the present study, 34.2%, 46.6%, and 19.2% were aged 65–74, 75–84, and over 84 years, respectively. In terms of clinical outcomes, although there were no significant differences in the length of intensive care unit and hospital stay and intensive care unit mortality, significant differences were observed in terms of in-hospital mortality, hospital discharge disposition, and neurologic outcomes at discharge ( p = 0.039, p = 0.005, and p = 0.032, respectively). Predictive factors for in-hospital mortality were age (⩾85 years), initial mental status (stupor to coma), a Korean Triage and Acuity Scale level of 1, underlying diagnosis of cancer, abdominal pain or discomfort, apnea, and a chief compliant of dyspnea. Conclusion: Compared to those aged 65–84 years, in-hospital mortality was 1.96-fold higher in those aged over 84 years. However, the overall mortality in our cohort was not considerably different from that of the younger population. Intensive care unit admission should be considered in selected older adults after evaluating the risk factors for mortality.

Predictors of rebleeding and in-hospital mortality in patients with nonvariceal upper digestive bleeding.

BACKGROUNDNonvariceal upper digestive bleeding (NVUDB) represents a severe emergency condition and is associated with significant morbidity and mortality. Despite a decrease in the incidence due to the widespread use of potent therapy with proton pump inhibitors as well as the implementation of modern endoscopic techniques, the mortality rate associated with NVUDB is still high.AIMTo identify the clinical, biological, and endoscopic parameters associated with a poor outcome in patients with NVUDB to allow the stratification of risk, which will lead to the implementation of the most accurate management.METHODSWe performed a retrospective study including patients who were admitted to the Gastroenterology Department of Clinical Emergency County Hospital Timisoara, Romania, with a diagnosis of NVUDB between 1 January 2008 and 31 December 2016. All the data were collected from the patient’s records, including demographic data, medication history, hemodynamic status, paraclinical tests, and endoscopic features as well as the methods of hemostasis, rate of rebleeding, need for surgery and death; we also assessed the Rockall score of the patients, length of hospitalization and associated comorbidities. All these parameters were evaluated as potential risk factors associated with rebleeding and death in patients with NVUDB.RESULTSWe included a batch of 1581 patients with NVUDB, including 523 (33%) females and 1058 (67%) males with a median age of 66 years. The main cause of NVUDB was peptic ulcer (73% of patients). More than one-third of the patients needed endoscopic treatment. Rebleeding rate was 7.72%; surgery due to failure of endoscopic hemostasis was needed in 3.22% of cases; the in-hospital mortality rate was 8.09%, and the bleeding-episode-related mortality rate was 2.97%. Although our predictive models for rebleeding and death had a low sensitivity, the specificity was very high, suggesting a better discriminative capacity for identifying patients with better outcomes. Our results showed that the Rockall score was associated with both rebleeding and death; comorbidities such as respiratory conditions, liver cirrhosis and sepsis increased significantly the risk of in-hospital mortality (OR of 3.29, 2.91 and 8.03).CONCLUSIONOur study revealed that the Rockall score, need for endoscopic therapy, necessity of transfusion and sepsis were risk factors for rebleeding. Moreover, an increased Rockall score and the presence of comorbidities were predictive factors for in-hospital mortality.

In-hospital Mortality after Surgical Resection in Hepatocellular Carcinoma Patients with Portal Vein Tumor Thrombus.

Background: Survival benefit of surgical resection for hepatocellular carcinoma (HCC) patients with portal vein tumor thrombus (PVTT) has been approved recently. However, risk factors for in-hospital mortality in these patients remain unclear. We aimed to determine risk factors and reduce the mortality of these patients.Methods: We analyzed data for 521 of all 1531 HCC patients with PVTT underwent surgery. The primary outcome measure was in-hospital mortality after surgical resection. Univariate and Multivariate cox-regression were performed to identify independent predictors of in-hospital mortality. The methods of Kaplan-Meier, bootstrap and ten-fold-cross validation were applied to validate the risk factors.Results: 521 of 1531 patients in 2004-2012 occurred for the diagnosis of HCC associated with PVTT and underwent surgical resection as a training cohort. Other 325 patients in 2013-2016 were included as a validation cohort. Overall mortality of postoperative in-patients was 3.3% (17/521) and 2.8 % (9/325), respectively. Univariate analysis of mortality revealed that frequency of hospitalization, total albumin, different types of PVTT, bleeding volume, blood transfusion, resection volume, and tumor volume were related with mortality. Therefore, the bootstrap validation reflected that the risk factors of multivariate cox regression in model1(frequency of hospitalization, bleeding volume, and tumor volume) and model 2 (frequency of hospitalization, bleeding volume and total albumin) were stable with mortality in hospital. Ten-fold cross-validation of cox regression analysis showed that the mean C-statistic with 95%CI of model1 and model2 respectively were 0.887(0.779-0.976) and 0.867(0.789-0.966) for predicting in-hospital mortality. Consistency results of models were in the training cohort and validation cohort.Conclusion: Total albumin, tumor volume, intraoperative bleeding and frequency of hospitalization were independent predictive factors for in-hospital mortality in HCC patients with PVTT under surgery. Further study is warranted to utilize these factors to lower in-hospital mortality.