Predictors of In-Hospital Mortality in Type A Acute Aortic Syndrome: Data From the RENADA-RO Registry.

BACKGROUND: This study aimed to analyse the baseline characteristics of patients admitted with acute type A aortic syndrome (ATAAS) and to identify the potential predictors of in-hospital mortality in surgically managed patients. METHODS: Data regarding demographics, clinical presentation, laboratory work-up, and management of 501 patients with ATAAS enrolled in the National Registry of Aortic Dissections-Romania registry from January 2011 to December 2022 were evaluated. The primary endpoint was in-hospital all-cause mortality. Multivariate logistic regression was conducted to identify independent predictors of mortality in patients with acute Type A aortic dissection (ATAAD) who underwent surgery. RESULTS: The mean age was 60±11 years and 65% were male. Computed tomography was the first-line diagnostic tool (79%), followed by transoesophageal echocardiography (21%). Cardiac surgery was performed in 88% of the patients. The overall mortality in the entire cohort was 37.9%, while surgically managed ATAAD patients had an in-hospital mortality rate of 29%. In multivariate logistic regression, creatinine value (OR 6.76), ST depression on ECG (OR 6.3), preoperative malperfusion (OR 5.77), cardiogenic shock (OR 5.77), abdominal pain (OR 4.27), age ≥70 years (OR 3.76), and syncope (OR 3.43) were independently associated with in-hospital mortality in surgically managed ATAAD patients. CONCLUSIONS: Risk stratification based on the variables collected at admission may help to identify ATAAS patients with high risk of death following cardiac surgery.

Prognostic Factors and Models to Predict Mortality Outcomes in Patients with Peripheral Arterial Disease: A Systematic Review.

OBJECTIVE: Predicting adverse outcomes in patients with peripheral arterial disease (PAD) is a complex task owing to the heterogeneity in patient and disease characteristics. This systematic review aimed to identify prognostic factors and prognostic models to predict mortality outcomes in patients with PAD Fontaine stage I - III or Rutherford category 0 - 4. DATA SOURCES: PubMed, Embase, and Cochrane Database of Systematic Reviews were searched to identify studies examining individual prognostic factors or studies aiming to develop or validate a prognostic model for mortality outcomes in patients with PAD. REVIEW METHODS: Information on study design, patient population, prognostic factors, and prognostic model characteristics was extracted, and risk of bias was evaluated. RESULTS: Sixty nine studies investigated prognostic factors for mortality outcomes in PAD. Over 80 single prognostic factors were identified, with age as a predictor of death in most of the studies. Other common factors included sex, diabetes, and smoking status. Six studies had low risk of bias in all domains, and the remainder had an unclear or high risk of bias in at least one domain. Eight studies developed or validated a prognostic model. All models included age in their primary model, but not sex. All studies had similar discrimination levels of > 70%. Five of the studies on prognostic models had an overall high risk of bias, whereas two studies had an overall unclear risk of bias. CONCLUSION: This systematic review shows that a large number of prognostic studies have been published, with heterogeneity in patient populations, outcomes, and risk of bias. Factors such as sex, age, diabetes, hypertension, and smoking are significant in predicting mortality risk among patients with PAD Fontaine stage I - III or Rutherford category 0 - 4.

The Impact of Steroid Responder Status on Long-Term Outcomes in Critically Ill Patients With Acute Respiratory Distress Syndrome Receiving High-Dose Glucocorticoids.

Background and objective High-dose intravenous pulsed glucocorticosteroids (GCS) are not part of the standard treatment in acute respiratory distress syndrome (ARDS), and the evidence supporting their use is conflicting. In clinical practice, however, they are used in specialist settings when clinico-patho-radiological features suggest a potentially steroid-responsive pattern, or as a last resort in cases where patients are unable to be weaned off mechanical ventilation. This study aimed to investigate if an early objective response to high-dose GCS treatment in selected critically ill patients is predictive of survival in ARDS. Methods This study involved a case series of 63 patients treated at a tertiary specialist respiratory ICU between 2009 and 2017 who received high-dose GCS for ARDS following a multidisciplinary board agreement. Patients were stratified according to the change in their modified lung injury score (mLIS) between days 0 and 10 following GCS initiation. Changes in mLIS (range: 0-4) were grouped as follows - full responders: ≥2, partial responders: ≥1 and <2, and non-responders: <1. Mortality on discharge and at 6, 12, 18, and 24 months post-ICU discharge was assessed for each group. Data were analysed using logistic regression and a receiver operating curve (ROC) to determine a statistically significant association between the change in mLIS and survival. Results Of the 63 patients, there were seven full responders, 12 partial responders, and 44 non-responders to high-dose GCS. Overall mortality at ICU discharge and 6, 12, 18 and 24 months post-discharge was 29/63 (46.0%), 33/63 (52.4%), 34/63 (54.0%), 34/63 (54.0%), and 35/63 (55.6%) respectively. Mortality was significantly lower in the partial and full-response groups than in the non-response group at all time frames. Logistic regression showed a significant association between the change in mLIS and survival (p<0.001), and a ROC demonstrated that categorising the change in mLIS was a good predictive model for survival (c-statistic 0.86). Conclusions Measuring the change in mLIS by day 10 following high-dose GCS administration for ARDS may be clinically useful in prognosticating such patients. Further research using mLIS as a measure of response to GCS, and larger datasets to enable the evaluation of prognostic factors, may assist clinicians in predicting which patients with persistent ARDS are likely to respond to GCS therapy.

Inflammatory Biomarkers for Assessing In-Hospital Mortality Risk in Severe COVID-19-A Retrospective Study.

(1) Background: Our study aims to investigate the utility of inflammatory factors as prognostic indicators for disease severity and mortality in COVID-19 patients admitted to the Intensive Care Unit (ICU) Department of Pelican Clinical Hospital Oradea Romania. While elevated white blood cell (WBC) levels are associated with COVID-19 severity and mortality, they may not effectively predict the risk of death; (2) Methods: In our ICU department, we conducted assessments on the 10th and 14th days of COVID-19 patients' hospitalization, measuring the following markers: C-reactive protein (CRP) levels, procalcitonin (PCT) levels, granulocytes/lymphocytes (G/L) ratios, ferritin levels, age, and obesity status. We included a total of 209 eligible COVID-19 patients in the final analysis. Our goal was to identify biomarkers that could quickly identify high-risk patients with a potential for disease progression and mortality; (3) Results: Our study (a retrospective, single-center observational cohort study) demonstrated statistically significant differences in predicting mortality and disease severity based on G/L ratio (p < 0.0001), PCT (p < 0.0002), CRP (p < 0.0001), ferritin (p < 0.0001), age (p < 0.0001), and obesity (p < 0.0001); (4) Conclusions: Having a G/L ratio exceeding 20 units, along with elevated levels of PCR, PCT, and ferritin in older and obese patients on the 3rd day of ICU admission, represents significant risk factors for in-hospital mortality in severe COVID-19 patients.

A Retrospective Study on the Outcome of Coronavirus Disease 2019 (COVID-19) Patients Admitted to a District General Hospital and Predictors of High Mortality.

BACKGROUND: The clinical features and severity of coronavirus disease 2019 (COVID-19) vary between patients and countries. Patients with certain conditions are predisposed to poor outcomes compared with those without medical conditions, such as diabetes, dementia, and hypertension (HTN). METHODS: The aim of this retrospective study was to assess factors associated with higher mortality in patients with COVID-19 infections and to identify the reason for hospital admission in these patients. The study was performed on patients admitted between 1 and 31 March 2020. Data collection was done retrospectively from electronic medical records. RESULTS: There were 269 patient admissions during this period, of which 147 were included in this audit. The mean age of COVID-19-positive patients was 62.8 years and 65.9 years for COVID-19-negative patients during this period. Forty-seven patients requiring hospital admission were COVID-19 positive and 93 were COVID-19 negative. There were no COVID-19 swabs in the seven patients included in the audit. Approximately 50% of the COVID-19-positive patients presented with fever and shortness of breath (sob), followed by dyspnea and cough (seven patients). The most common comorbidity was HTN, followed by type 2 diabetes mellitus (T2DM) and ischemic heart disease (IHD). The survival rate was 72.3% in COVID-19-positive patients and 80% in COVID-19-negative patients. The average length of stay was 14.4 days for COVID-19-positive survivors compared to 7.8 days for COVID-19-negative survivors. Most patients who tested positive for COVID-19 infection received oseltamivir vaccination and antibiotics. The presence of HTN, diabetes mellitus (DM), age, and organ failure was associated with a high mortality risk. CONCLUSION: Our study supports the findings of previous studies that diabetes, HTN, coronary artery disease, old age, and organ failure were associated with high mortality in patients admitted to hospitals with COVID-19 infections.

Predictors of a severe course and mortality in patients with COVID-19-associated pneumonia.

INTRODUCTION: Severe and critical forms of SARS-CoV-2 pneumonia are associated with high morbidity and mortality. Numerous research studies have been conducted around the world to investigate various variables (demographic, clinical, laboratory, etc.) in an attempt to understand the relationships between them and the course and outcome of patients with COVID-19 infection and pneumonia.

Living donor liver transplant in acute on chronic liver failure grade 3: Who not to transplant.

BACKGROUND AND AIM: Liver transplantation(LT)offers definitive treatment for acute on chronic liver failure(ACLF) patients. This study was done to analyze and compare the outcomes of living donor LT(LDLT) in patients with ACLF versus Chronic liver disease(CLD) and within the grades of ACLF. Factors affecting mortality in patients with ACLF and ACLF grade3 (ACLF3) following LDLT were also derived. METHODS: Records of adult LDLT between 1/2/2017 and 30/9/2021 were analyzed. ACLF was classified based on EASL-CLIF definition. Post-transplant outcomes of ACLF were compared with CLD and within ACLF grades. Post LDLT mortality predictors were identified in ACLF and ACLF3 patients. RESULTS: Out of 853 patients who had LT in that period; 704 patients with CLD and 103 with ACLF [of which 54 (52.42%) had ACLF3] underwent LDLT. The one month and one-year post LDLT mortality was 8.81% and 9.80% in CLD; 19.42% and 31.06% in ACLF; and 25.92% and 38.89% in ACLF3 respectively. On log regression analysis, use of grafts from older donors and pre-operative respiratory failure in recipients was associated with poor survival in ACLF, while respiratory failure was a predictor of poor survival in ACLF3 following LDLT. CONCLUSION: Outcomes following LDLT are poorer in ACLF as compared to after CLD. Higher donor age and preoperative respiratory failure with PF Ratio<200 were associated with poor survival post LDLT in ACLF and ACLF3.

Association between alcohol-associated cirrhosis and inpatient complications among COVID-19 patients: A propensity-matched analysis from the United States.

BACKGROUND: Alcohol-associated cirrhosis (AC) contributes to significant liver-related mortality in the United States. It is known to cause immune dysfunction and coagulation abnormalities. Patients with comorbid conditions like AC are at risk of worse clinical outcomes from coronavirus disease 2019 (COVID-19). The specific association between AC and COVID-19 mortality remains inconclusive, given the lack of robust clinical evidence from prior studies. AIM: To study the predictors of mortality and the outcomes of AC in patients hospitalized with COVID-19 in the United States. METHODS: We conducted a retrospective cohort study using the National Inpatient Sample (NIS) database 2020. Patients were identified with primary COVID-19 hospitalizations based on an underlying diagnosis of AC. A matched comparison cohort of COVID-19 patients without AC was identified after 1:N propensity score matching based on baseline sociodemographic characteristics and Elixhauser comorbidities. Primary outcomes included median length of stay, median inpatient charges, and in-hospital mortality. Secondary outcomes included a prevalence of systemic complications. RESULTS: A total of 1325 COVID-19 patients with AC were matched to 1135 patients without AC. There was no difference in median length of stay and hospital charges in COVID-19 patients with AC compared to non-AC (P > 0.05). There was an increased prevalence of septic shock (5.7% vs 4.1%), ventricular fibrillation/ventricular flutter (0.4% vs 0%), atrial fibrillation (13.2% vs 8.8%), atrial flutter (8.7% vs 4.4%), first-degree atrioventricular nodal block (0.8% vs 0%), upper extremity venous thromboembolism (1.5% vs 0%), and variceal bleeding (3.8% vs 0%) in the AC cohort compared to the non-AC cohort (P < 0.05). There was no difference in inpatient mortality in COVID-19 patients with non-AC compared to AC, with an odds ratio of 0.97 (95% confidence interval: 0.78-1.22, P = 0.85). Predictors of mortality included advanced age, cardiac arrhythmias, coagulopathy, protein-calorie malnutrition, fluid and electrolyte disorders, septic shock, and upper extremity venous thromboembolism. CONCLUSION: AC does not increase mortality in patients hospitalized with COVID-19. There is an increased association between inpatient complications among COVID-19 patients with AC compared to non-AC.

Impact of Bariatric Surgery on Mortality of Mitral Valve Surgery: A National Analysis.

OBJECTIVE: Obesity is a common comorbidity of cardiac surgery patients. The goal of this study is to determine if a lower weight achieved through bariatric surgery has any association with mitral valve (MV) replacement or repair surgery mortality. METHODS: This study used a retrospective analysis of the National Inpatient Sample dataset from 2012 to 2020. Adult patients who underwent MV surgery with normal weight following bariatric surgery (n = 1,125) and patients with obesity (n = 48,555) were compared. The primary outcome was in-hospital mortality. RESULTS: This study included 49,680 patients. The median age was 64 (55 to 71) years, and the majority were female (55%). Bariatric surgery was found to significantly decrease the odds of mortality, even after adjusting for important covariates, indicating a reduction of mortality risk by 54% (adjusted odds ratio = 0.46, p = 0.024). Other significant protective factors include isolated and elective surgery. Significant risk factors were older age, female sex, and diabetes mellitus. Patients who were obese demonstrated longer lengths of stay (LOS), greater transfers to other facilities, and higher hospital costs. CONCLUSIONS: In patients receiving MV surgery, bariatric surgery demonstrated significant survival benefits during hospitalization, in addition to reducing LOS and cost. Our data support prior evidence of bariatric surgery improving cardiovascular outcomes. Therefore, bariatric surgery may be a meaningful method of weight loss to improve surgical patient outcomes in patients with obesity. However, longer-term data are needed.

Paediatric COVID-19 Outcomes: Haematology Parameters, Mortality Rates, and Hospitalization Duration.

The global COVID-19 pandemic has strained healthcare systems around the globe, necessitating extensive research into the variables that affect patient outcomes. This study examines the relationships between key haematology parameters, duration of hospital stay (LOS), and mortality rates in COVID-19 cases in paediatric patients. Researchers analyse relationships between independent variables (COVID-19 status, age, sex) and dependent variables (mortality, LOS, coagulation parameters, WBC count, RBC parameters) using multivariate regression models. Although the R-square values (0.6-3.7%) indicate limited explanatory power, coefficients with statistical significance establish the impact of independent variables on outcomes. Age emerges as a crucial predictor of mortality; the mortality rate decreases by 1.768% per age group. Both COVID-19 status and age have an inverse relationship with length of stay, emphasising the milder hospitalisation of children. Platelet counts decline with age and male gender, potentially revealing the influence of COVID-19 on haematological markers. There are significant correlations between COVID-19 status, age, gender and coagulation measures. Lower prothrombin time and D-dimer concentrations in elder COVID-19 patients are indicative of distinct coagulation profiles. WBC and RBC parameters exhibit correlations with variables: COVID-19-positive patients have lower WBC counts, whereas male COVID-19-positive patients have higher RBC counts. In addition, correlations exist between independent variables and the red cell distribution width, mean corpuscular volume, and mean corpuscular haemoglobin. However, there is no correlation between mean corpuscular haemoglobin concentration and outcomes, indicating complex interactions between haematological markers and outcomes. In essence, this study underlines the importance of age in COVID-19 mortality, provides novel insights into platelet counts, and emphasises the complexity of the relationships between haematological parameters and disease outcomes.

Green Cytoplasmic Neutrophilic Inclusion Bodies in a Patient With Aspiration Pneumonia and Bowel Perforation.

Blue-green cytoplasmic neutrophilic inclusion bodies, previously described as "green crystals of death," are a rare but likely underreported finding in critically ill patients. This finding is associated with high mortality, ranging from 31% to 100% in published case studies. These inclusion bodies have been most strongly associated with acute liver injury and lactic acidosis, but they have also been reported in critically ill patients secondary to other etiologies. Here, we report a case of blue-green neutrophilic inclusion bodies in a patient with aspiration pneumonia and severe pneumoperitoneum secondary to bowel perforation. These blue-green neutrophilic inclusion bodies offer high prognostic value for physicians, and their presence should be considered a "critical result," indicating the severity of the patient's illness.

Dying with behavioral and psychological symptoms of dementia in Australian nursing homes: a retrospective case-control study.

Objectives: To identify predictors of mortality in people with active and challenging behavioral and psychological symptoms of dementia (BPSD). Design: A retrospective case-control study was designed to compare those referred to Dementia Support Australia (DSA) who died in the 12 months to November 2016, with an equal number of controls who did not die. An audit tool was designed after literature review and expert opinion from the service. Odds ratio calculations and the Mann-Whitney U test were used to assess for difference. Setting: Residents of Australian residential aged care facilities with BPSD referred to the DSA service. Participants: Of 476 patients referred to DSA during the study period, 44 died. 44 controls were randomly selected from those remaining matched for age and sex. Results: Significant differences included higher rates of benzodiazepine use, drowsiness, delirium, reduced oral intake and discussions about goals of care in those who died. Those who died were referred to the service for a shorter period and had more frequent contact between DSA and nurses at the nursing homes. Increase in opioid use and loss of skin integrity in those who died approached significance. The overall end of life course demonstrated a complex set of needs with frequent delirium, pain and frailty. Conclusion: Further study is required to determine the optimal care for those with BPSD at the end of their lives. This study would indicate complex end of life care needs and point to a role for palliative care support.

Clinical Profile and Outcome in Patients with Spontaneous Subarachnoid Hemorrhage from a South Indian Tertiary Centre: A Prospective Observational Study.

Objective Spontaneous subarachnoid hemorrhage (SAH) is a neurological condition that causes significant morbidity and mortality. It is known to have regional differences in its incidence. Indian studies have shown conflicting results about the incidence of aneurysms as the cause of SAH, varying from 35% to 80%. The data available on the epidemiology of spontaneous SAH in the South Indian population are very few. Our study aims to describe the clinical profile of patients presenting with spontaneous SAH to the emergency department in a tertiary center in South India and describe the factors influencing the clinical outcome. Materials and Methods The study included 75 patients diagnosed with spontaneous SAH in our emergency department. Demographic data, medical history, details about the first medical contact, clinical features at admission, complications during the hospital stay, and interventions underwent were recorded. The study participants were followed-up at 6 weeks after discharge from hospital to assess the neurological outcome based on modified Rankin Scale (mRS) score, using a 9-point questionnaire. Results Of the 75 patients with spontaneous SAH, the majority were females, and in the age group of 50 to 69 years. The median time to first medical contact was observed to be 2 hours; and SAH was diagnosed at the first medical contact only in 37% of the patients. Hypertension was the most common comorbid condition associated with SAH (53%). Almost 80% of the patients who underwent angiographic studies had aneurysmal SAH (aSAH). Hydrocephalus was the most common complication seen in 37% of the patients, followed by hyponatremia (28%) and vasospasm (25%). At the time of follow-up after 6 weeks, we found that 36% of the patients were having a neurologically favorable outcome with an mRS score of 0 to 2, 8% of patients were having moderate to severe disability (mRS 3 to 5) and were living a dependent life. The mortality rate (mRS 6) was observed to be around 50% (6% lost to follow-up). Conclusion We observed a relatively higher incidence of aneurysmal rupture among the patients with spontaneous SAH in our region. The misdiagnosis rate at first medical contact was higher. The mortality rate was observed to be around 50% at 6 weeks. Loss of consciousness at ictus, aneurysmal rupture, WFNS grades IV-V, hydrocephalus, vasospasm, hypernatremia, and delayed cerebral ischemia were found to be the mortality predictors in SAH.

Mortality and survival in nonagenarians during the COVID-19 pandemic: Unstable equilibrium of aging.

Introduction: Aging puts the human body under an immense stress and makes it extremely susceptible to many diseases, often leading to poor outcomes and even death. Long-living individuals represent a unique group of people who withstood the stress of time and offer an abundance of information on the body's ability to endure the pressure of aging. In this study, we sought to identify predictors of overall one-year mortality in 1641 long-living individuals. Additionally, we analyzed risk factors for COVID-19-related morality, since statistics demonstrated an extreme vulnerability of older adults. Methods: We conducted a two-stage evaluation, including a comprehensive geriatric assessment for major aging-associated: frailty, cognitive impairment, frontal lobe dysfunction, chronic pain, anxiety, risk of falls, sensory deficit, depression, sarcopenia, risk of malnutrition, fecal and urinary incontinence, dependence in Activities of Daily Living, dependence in Instrumental Activities of Daily Living, polypragmasia, and orthostatic hypotension; extensive blood testing, a survey, and a one-year follow-up interview. Results: The most reliable predictors of overall mortality were cognitive impairment, malnutrition, frailty, aging-associated diseases and blood markers indicating malnutrition-induced metabolic dysfunctions (decreased levels of protein fractions, iron, 25-hydroxyvitamin D, and HDL), and aging biomarkers, such as IGF-1 and N-terminal pro b-type natriuretic peptide. In post-COVID 19 participants, the most significant mortality predictors among geriatric syndromes were depression, frontal lobe dysfunction and frailty, and similar to overall mortality blood biomarkers - 25-hydroxyvitamin D, IGF-1, HDL as well as high white blood cell, neutrophils counts and proinflammatory markers. Based on the results, we built a predictive model of overall mortality in the long-living individuals with f-score=0.76. Conclusion: The most sensitive and reliable predictors of mortality were modifiable. This is another evidence of the critical importance of proper geriatric care and support for individuals in their "golden years". These results could facilitate geriatric institutions in their pursuit for providing improved care and could aid physicians in detecting early signs of potentially deadly outcomes. Additionally, our findings could be used in developing day-to-day care guidelines, which would greatly improve prevention statistics.

Isolated Tricuspid Valve Repair Versus Replacement: Predictors of Mortality on the National Level.

OBJECTIVE: Isolated tricuspid valve surgery (TVR) is rarely performed, and literature reports are confined to small sample sizes and old studies. Thus, the advantage of repair over replacement could not be determined. We aimed to evaluate repair and replacement outcomes along with predictors of mortality for TVR on a national level. METHODS: All adult patients (18+ years old) who underwent TVR from 2011 to 2020 were identified using the National Inpatient Sample dataset. The primary outcome was in-hospital mortality. Secondary outcomes included complications, length of stay (LOS), hospitalization cost, and discharge disposition. RESULTS: Over a 10-year period, 37,931 patients had TVR and predominantly underwent repair (n = 25,027, 66.0%). In comparison with patients who underwent tricuspid replacement, more patients with a history of liver disease and pulmonary hypertension presented for repair surgery, and fewer patients had endocarditis and rheumatic valve disease (P < 0.001). The repair group had less mortality, less stroke, shorter LOS, and reduced cost, while the replacement group had fewer myocardial infarctions (P < 0.05). However, the outcomes were not different for cardiac arrest, wound complications, or bleeding. After excluding congenital TV disease and adjusting for relevant factors, TV repair was associated with a reduced in-hospital mortality by 28% (adjusted odds ratio [aOR] = 0.72, P = 0.011). Older age increased mortality risk by 3-fold, prior stroke by 2-fold, and liver diseases by 5-fold (P < 0.001). Patients undergoing TVR in recent years had a better chance of survival (aOR = 0.92, P < 0.001). CONCLUSIONS: TV repair has better outcomes than replacement does. Patient comorbidities and late presentation play an independently significant role in determining outcomes.

Developing a mortality risk prediction model using data of 3663 hospitalized COVID-19 patients: a retrospective cohort study in an Egyptian University Hospital.

PURPOSE: Since the declaration of COVID-19 as a pandemic, a wide between-country variation was observed regarding in-hospital mortality and its predictors. Given the scarcity of local research and the need to prioritize the provision of care, this study was conducted aiming to measure the incidence of in-hospital COVID-19 mortality and to develop a simple and clinically applicable model for its prediction. METHODS: COVID-19-confirmed patients admitted to the designated isolation areas of Ain-Shams University Hospitals (April 2020-February 2021) were included in this retrospective cohort study (n = 3663). Data were retrieved from patients' records. Kaplan-Meier survival and Cox proportional hazard regression were used. Binary logistic regression was used for creating mortality prediction models. RESULTS: Patients were 53.6% males, 4.6% current smokers, and their median age was 58 (IQR 41-68) years. Admission to intensive care units was 41.1% and mortality was 26.5% (972/3663, 95% CI 25.1-28.0%). Independent mortality predictors-with rapid mortality onset-were age ≥ 75 years, patients' admission in critical condition, and being symptomatic. Current smoking and presence of comorbidities particularly, obesity, malignancy, and chronic haematological disorders predicted mortality too. Some biomarkers were also recognized. Two prediction models exhibited the best performance: a basic model including age, presence/absence of comorbidities, and the severity level of the condition on admission (Area Under Receiver Operating Characteristic Curve (AUC) = 0.832, 95% CI 0.816-0.847) and another model with added International Normalized Ratio (INR) value (AUC = 0.842, 95% CI 0.812-0.873). CONCLUSION: Patients with the identified mortality risk factors are to be prioritized for preventive and rapid treatment measures. With the provided prediction models, clinicians can calculate mortality probability for their patients. Presenting multiple and very generic models can enable clinicians to choose the one containing the parameters available in their specific clinical setting, and also to test the applicability of such models in a non-COVID-19 respiratory infection.

Characteristics and prognostic risk factors of patients with sequence type 5 lineage-associated cryptococcosis in China.

OBJECTIVES: Cryptococcus neoformans sequence type 5 (ST5) lineage could infect immunocompetent hosts and cause a significant medical burden. We sought to identify characteristics and prognostic risk factors of ST5 lineage-associated cryptococcosis. METHODS: Multilocus sequence typing and antifungal susceptibility testing were conducted for Cryptococcus isolates. The clinical and laboratory characteristics of cryptococcosis patients were investigated. The multivariable logistic regression identified variables independently associated with 30-day mortality in patients with ST5 lineage-associated cryptococcosis without HIV. RESULTS: The infection rate of the ST5 isolates was 89.4% (370/414) in China. The proportion of ST5 isolates with nonwild-type minimum inhibitory concentrations to amphotericin B, 5-flucytosine, voriconazole, posaconazole, itraconazole, and fluconazole were 0%, 5.4%, 0.3%, 1.4%, 0.3%, and 8.1%, respectively. The ST5 lineage-infected group exhibited significantly higher blood platelet count, lower blood cryptococcal antigen (CrAg) titer, lower cerebrospinal fluid (CSF) CrAg titer than the non-ST5 lineage-infected group, and lower hemoglobin and lower CSF CrAg titer than the Cryptococcus gattii isolates-infected group. Seven baseline parameters, including underlying disease, dyskinesia, anemia, high peripheral blood neutrophils, low platelet count, high CSF fungal burden, and high CSF opening pressure, were associated independently with the 30-day mortality of patients with ST5 lineage-associated cryptococcosis without HIV. CONCLUSION: Our study has provided an understanding of the ST5 lineage associated with cryptococcosis.

An Overview of the Impact of Bacterial Infections and the Associated Mortality Predictors in Patients with COVID-19 Admitted to a Tertiary Center from Eastern Europe.

1. BACKGROUND: Literature data on bacterial infections and their impact on the mortality rates of COVID-19 patients from Romania are scarce, while worldwide reports are contrasting. 2. MATERIALS AND METHODS: We conducted a unicentric retrospective observational study that included 280 patients with SARS-CoV-2 infection, on whom we performed various microbiological determinations. Based on the administration or not of the antibiotic treatment, we divided the patients into two groups. First, we sought to investigate the rates and predictors of bacterial infections, the causative microbial strains, and the prescribed antibiotic treatment. Secondly, the study aimed to identify the risk factors associated with in-hospital death and evaluate the biomarkers' performance for predicting short-term mortality. 3. RESULTS: Bacterial co-infections or secondary infections were confirmed in 23 (8.2%) patients. Acinetobacter baumannii was the pathogen responsible for most of the confirmed bacterial infections. Almost three quarters of the patients (72.8%) received empiric antibiotic therapy. Multivariate logistic regression has shown leukocytosis and intensive care unit admission as risk factors for bacterial infections and C-reactive protein, together with the length of hospital stay, as mortality predictors. The ROC curves revealed an acceptable performance for the erythrocyte sedimentation rate (AUC: 0.781), and C-reactive protein (AUC: 0.797), but a poor performance for fibrinogen (AUC: 0.664) in predicting fatal events. 4. CONCLUSIONS: This study highlighted the somewhat paradoxical association of a low rate of confirmed infections with a high rate of empiric antibiotic therapy. A thorough assessment of the risk factors for bacterial infections, in addition to the acknowledgment of various mortality predictors, is crucial for identifying high-risk patients, thus allowing a timely therapeutic intervention, with a direct impact on improving patients' prognosis.

Rate and risk factors of in-hospital and early post-discharge mortality in patients admitted to an internal medicine ward.

BACKGROUND: We sought to quantify in-hospital and early post-discharge mortality rates in hospitalised patients. METHODS: Consecutive adult patients admitted to an internal medicine ward were prospectively enrolled. The rates of in-hospital and 4-month post-discharge mortality and their possible associated sociodemographic and clinical factors (eg Cumulative Illness Rating Scale [CIRS], body mass index [BMI], polypharmacy, Barthel Index) were assessed. RESULTS: 1,451 patients (median age 80 years, IQR 69-86; 53% female) were included. Of these, 93 (6.4%) died in hospital, while 4-month post-discharge mortality was 15.9% (191/1,200). Age and high dependency were associated (p<0.01) with a higher risk of in-hospital (OR 1.04 and 2.15) and 4-month (HR 1.04 and 1.65) mortality, while malnutrition and length of stay were associated (p<0.01) with a higher risk of 4-month mortality (HR 2.13 and 1.59). CONCLUSIONS: Several negative prognostic factors for early mortality were found. Interventions addressing dependency and malnutrition could potentially decrease early post-discharge mortality.

Simple scoring for acute necrotizing pancreatitis: mortality in acute necrotizing pancreatitis during admission (MANP-A).

Background: Acute necrotizing pancreatitis (ANP) can result in a significant healthcare burden. The present study aimed to develop a new scoring system to accurately and promptly identify patients with a high likelihood of mortality to determine the need for aggressive measures. Methods: We retrospectively analyzed patients diagnosed with ANP using the National Inpatient Sample (NIS). The mortality in ANP during admission (MANP-A) scoring system was derived using multivariate Cox regression analysis and validated using receiver operating characteristic (ROC) curves in a validation cohort. Results: A total of 22,980 hospitalizations were identified in the derivation cohort. There was a predominance of males (65%) and white race (73%). Five variables showed significant association with mortality and were selected for developing the MANP-A scoring system: age ≥60 years; acute renal failure/kidney injury; sepsis with shock; vasopressor use; and disseminated intravascular coagulation. The MANP-A score has a maximum of 5 points and the cutoff for predicting mortality was set at 2 points. The area under the curve (AUC) using the ROC curve of the derivation cohort was 0.9195, 95% confidence interval [CI] 0.8838-0.9551 (P<0.001) for 7- and 0.8954, 95%CI 0.8723-0.9185 (P<0.001) for 30-day periods. The AUC of the Validation Cohort was 0.9204, 95%CI 0.8937-0.9469 (P<0.001) for 7- and 0.9059, 95%CI 0.8893-0.9223 (P<0.001) for 30-day periods. Conclusion: We propose a simple and objective score for predicting ANP inpatient mortality at 7- and 30-day intervals with high validity.