Risk Factors For Fatal Outcome Research Articles

Survival After Ditching in Motorized Aircraft, 1989-2022.

INTRODUCTION: Although an unintended aircraft landing on water (referred to as ditching) is a rare event, the potential for occupant injury/fatality increases immediately following the event due to adverse conditions. However, to date, few studies have addressed the subject. Herein, ditching events and post-ditching survival were investigated.METHODS: Ditchings (1982-2022) in the United States were identified from the National Transportation Safety Board database. Occupant injury severity, aircraft type, pilot experience, flight conditions, and number of occupants were extracted. Poisson distribution, the Chi-squared test (2-tailed), Mann-Whitney U test, and Kruskal-Wallis one-way analysis of variance were employed.RESULTS: A total of 96 ditchings were identified. A systematic survey was hampered by the lack of a standardized reporting matrix in the reports. In total, 77 reports were included in the analysis. Across all ditchings, 128 of 169 (76%) occupants survived ditching and were rescued. Importantly, the initial ditching event was survived by 95% of all occupants. However, 32 (19%) occupants died post-ditching by drowning (21/32 cases) or for undetermined reasons. Considering probability per ditching event, in 26 (34%) of all ditchings, one or more occupants was/were fatally injured.DISCUSSION: Initial survival of the emergency ditching is high. Drowning was the leading cause of death after ditching and reduced the overall survival to 76%. Further investigation is needed to identify risk factors for fatal outcomes and/or improve probability of survival after ditching.Schick VC, Boyd DD, Hippler C, Hinkelbein J. Survival after ditching in motorized aircraft, 1989-2022. Aerosp Med Hum Perform. 2024; 95(5):254-258.

Association of liver function and prognosis in patients with severe fever with thrombocytopenia syndrome.

Severe fever with thrombocytopenia syndrome (SFTS) is an epidemic emerging infectious disease with high mortality rate. We investigated the association between liver injury and clinical outcomes in patients with SFTS. A total of 291 hospitalized SFTS patients were retrospectively included. Cox proportional hazards model was adopted to identify risk factors of fatal outcome and Kaplan-Meier curves were used to estimate cumulative risks. 60.1% of patients had liver injury at admission, and the median alanine transaminase, aspartate aminotransferase (AST), alkaline phosphatase (ALP), and total bilirubin (TBil) levels were 76.4 U/L, 152.3 U/L, 69.8 U/L and 9.9 μmol/L, respectively. Compared to survivors, non-survivors had higher levels of AST (253.0 U/L vs. 131.1 U/L, P < 0.001) and ALP (86.2 U/L vs. 67.9 U/L, P = 0.006), higher proportion of elevated ALP (20.0% vs. 4.4%, P < 0.001) and liver injury (78.5% vs. 54.9%, P = 0.001) at admission. The presence of liver injury (HR 2.049, P = 0.033) at admission was an independent risk factor of fatal outcome. Liver injury was a common complication and was strongly associated with poor prognosis in SFTS patients. Liver function indicators should be closely monitored for SFTS patients.

Mechanical asphyxia in the structure of violent death in the Russian Federation from 2013 to 2022 years

The objective of the study is to examine the death incidence from mechanical asphyxia in the Russian Federation in the period from 2013 to 2022 yr., to determine the dynamics of changes in indicators of its main types and to reveal territorial specificity. The results obtained with the use of medical statistics methods can be applied to implement measures for health protection, prevent risk factors of fatal outcome among population, to improve the training of forensic medical experts.

Genome and proteomic analysis of risk factors for fatal outcome in children with severe community-acquired pneumonia caused by human adenovirus 7.

Human adenovirus 7 (HAdV-7) is an important viral pathogen of severe pneumonia in children and a serious threat to health. A cohort of 45 pediatric patients diagnosed with HAdV-7-associated severe pneumonia and admitted to the Pediatric Intensive Care Unit at the Children's Hospital of Chongqing Medical University from May 2018 to January 2020 were included. Risk factors of death were analyzed by the Cox proportional risk mode with Clinical data, serum, and nasopharyngeal aspirate adenovirus load, Genome analysis, Olink proteomics, and cytokine profile between dead and surviving patients were also analyzed. A total of 45 children with a median age of 12.0 months (interquartile range [IQR]: 6.5, 22.0) were included (female 14), including 14 (31.1%) who died. High serum viral load was an independent risk factor for mortality (hazard ratio [HR] = 2.16, 95% confidence interval [CI], 1.04-4.49, p = 0.039). BTB and CNC homology 1 (BACH1), interleukin-5 (IL-5), and IL-9 levels were significantly correlated with serum viral load (p = 0.0400, 0.0499, and 0.0290; r = 0.4663, 0.3339, and -0.3700, respectively), with significant differences between the dead and survival groups (p = 0.021, 0.001, and 0.021). Severe cytokine storm-associated high serum viral load after HAdV-7 infection may be the main mechanism responsible for poor prognosis in children.

Risk Factors for COVID-19 Adverse Outcomes in ICU Settings of Various Types Repurposed Hospitals

Objective: to study the risk factors for COVID-19 adverse outcomes in repurposed hospitals of various types.Material and methods. A retrospective study was conducted in the ICUs of three repurposed hospitals: a municipal hospital, a federal center and a private clinic. Data of 369 patients were analyzed for the period from April to December 2020. Gender, age, BMI, NEWS score, severity of lung damage based on CT quantification, blood gases and pH, patterns of antibiotic administration during hospital stay (all classes and number of antimicrobials, regardless the sequence of administration), patterns of main drugs administration (glucocorticosteroids, lopinavir/ritonavir, tocilizumab/ solilumab, hydroxychloroquine) were evaluated as risk factors. Odds ratios (OR) and 95% confidence intervals (95% CI) were calculated by logistic regression.Results. Patients from repurposed hospitals of various types were distinguishable in terms of distribution by sex, severity of lung damage, administered therapy, blood gases, and the number of antimicrobials used. Mortality rates were 21.8% in the federal center, 41.4% in the private clinic, and 77.2% in the municipal hospital. The most significant risk factors were: the severity of lung damage based on CT quantification (OR=3.694, 95% CI: 1.014–13.455, P=0.048) — in the federal center, patient’s age (OR=1.385, 95% CI: 1.034–1.854, P=0.029) and arterial oxygen tension (OR=0.806, 95% CI: 0.652–0.996) — in the municipal hospital, and patients’ age (OR=2.158, 95% CI: 1.616–2.880, P0.0001), number of antibiotics (OR=1.79, 95% CI: 1.332–2.406, P=0.0001), and blood pH (OR=0.381, 95% CI: 0.261–0.555, P0.0001) — in the private clinic.Conclusion. Patient’s profiles in municipal, federal, and private ICU settings varied significantly in the first wave of the COVID-19 pandemic. Gender distribution and severity of the diseases were found as the most significant differences among them. Clinical outcomes were also different, with the lowest mortality rate in the federal center and the highest in the municipal hospital. Arterial pO₂, blood pH, and the number of antimicrobials used in the course of treatment were the significant risk factors of fatal outcome (in some hospitals).

Molecular epidemiology and disease severity of influenza virus infection in patients with haematological disorders.

Influenza virus infection is a common cause of self-limiting respiratory tract infection (RTI), however immunocompromised patients are at an increased risk for a severe course of disease or fatal outcome. We therefore aimed to gain a better understanding of the molecular epidemiology of influenza viruses from patients with haematological disorders and their impact on the clinical course of disease. Molecular analysis using polymerase chain reaction (PCR) of nasopharyngeal swabs was performed for influenza virus in haematological patients at the Heidelberg University Hospital. Clinical data was evaluated to identify associated risk factors. For phylogenetic analysis, the hemagglutinin (HA) gene was sequenced. Out of 159 influenza positive patients, 117 patients developed upper RTI (influenza A: n = 73; influenza B: n = 44). Lower RTI was observed in n = 42 patients (26%), n = 22/42 patients developed severe disease and n = 16/159 (10.1%) patients died. Risk factors for lower RTI were nosocomial infection (p = 0.02), viral shedding for ≥14 days (p = 0.018), IgG levels <6 g/dL (p = 0.046), bacterial/fungal co-infections (p < 0.001). Risk factors for fatal outcome were age ≥65 years (p = 0.032), bacterial/fungal (p≤0.001) co-infections and high viral load (p = 0.026). Sequencing of the HA gene (n = 115) revealed subtype A(H3N2) (n = 46), A(H1N1)pdm09 (n = 24), B/Victoria (n = 34), B/Yamagata (n = 11). There was no correlation between influenza (sub)type and lower RTI. Influenza infection in haematological patients is associated with significant morbidity and mortality, the risk for aggravating co-infections, prolonged viral shedding and nosocomial transmission emphasizing the need for infection control.

COVID-19 risk factors for mortality in hospitalized patients: results of a retrospective study

Objective. To identify risk factors for fatal outcome and COVID-19-associated liver damage in hospitalized adult patients with coronavirus infection. Materials and Methods. In a retrospective cohort study, 389 cases of patients with coronavirus infection complicated by bilateral viral pneumonia were studied. Demographic characteristics, clinical features of the course of the disease, anamnestic data, results of laboratory and instrumental methods of examination were analyzed and correlated with mortality. At the time of admission, the following were taken into account: fever, severity of the patient’s condition according to COVID-19 classification of severity, body mass index (BMI), oxygen saturation (SpO2), percentage of lung tissue damage according to computed tomography (CT). Laboratory indices of biochemical blood analysis were assessed in dynamics: alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin, total protein, albumin, C-reactive protein (CRP). Data analysis was performed using the R programming language (ver. 4.1.1.). Results. The following risk factors, assessed at the time of hospitalization, increased the likelihood of death: severe and extremely severe condition of the patient (RR = 4.77; 95% CI: 3.33–6.83); SpO2 less than 93% (RR = 3.76; 95% CI: 2.57–5.49); diabetes mellitus (RR = 2.94; 95% CI: 2.01–4.30); lung tissue damage CT-3 and CT-4 (RR = 2.66; 95% CI: 1.79–3.75); concomitant chronic pyelonephritis and chronic kidney disease (CKD) (RR = 2.59; 95% CI: 1.79–3.74); age 65 years and older (RR = 2.50; 95% CI: 1.70–3.67); ischemic heart disease (IHD) (RR = 2.39; 95% CI: 1.42–4.01); an increase in the level of CRP more than 15 mg/l (RR = 2.22; 95% CI: 1.16–4.24); BMI 35 kg/m2 or more (RR = 1.89; 95% CI: 1.28–2.77); AST level more than 2 upper limit of normal (ULN) (RR = 1.75; 95% CI: 1.20–2.55). Risk factors for an increase in AST more than 2 ULN were: SpO2 less than 93% (RR = 1.53; 95% CI: 1.15– 2.03), severe and extremely severe course of coronavirus infection (RR = 1.83; 95% CI: 1.38–2.43), concomitant chronic liver disease (RR = 1.45, 95% CI: 1.08–1.95). Conclusions. Risk factors for fatal COVID-19 in hospitalized patients are: severe and extremely severe initial condition of the patient, oxygen saturation less than 93%, lung tissue damage more than 50%, age older than 65 years, presence of concomitant diabetes mellitus, chronic pyelonephritis and CHD, CHD, obesity, increased CRP level more than 15 mg/l, and AST more than 70 units/l. Elevation of AST over 2 IU/L can be considered as one of the prognostic laboratory markers of adverse prognosis COVID-19.

Clinical features of post-COVID period. Results of an International Register "Dynamics Analysis of Comorbidities in SARS-CoV-2 Survivors (ACTIV SARS-CoV-2)" (12-month follow-up)

Aim. To investigate on post-COVID period in patients of the Eurasian region.Material and methods. A total of 9364 consecutively hospitalized patients were included in ACTIV registry. Enrollment of patients began on June 29, 2020, and was completed on March 30, 2021, corresponding to the first and second waves of the pandemic. Demographic, clinical, and laboratory data, computed tomography (CT) results, information about inhospital clinical course and complications of COVID-19 during hospitalization were extracted from electronic health records using a standardized data collection form. The design included follow-up telephone interviews with a standard questionnaire at 3, 6, and 12 months to examine the course of post-COVID period.Results. According to ACTIV register, 63% of patients after COVID-19 had new adverse symptoms or exacerbations of the existing symptoms lasting for up to 1 year. After hospital discharge, 79,8% of patients sought unscheduled medical attention in the first 3 months, 79,1% at 4-6 months, and 64,8% at 7-12 months. Readmission rate was 11,8% in the first 3 months, 10,9% at 4-6 months, and 10,1% at 7-12 months. The most common reasons for unscheduled treatment in the first 3 months were uncontrolled hypertension, decompensated type 2 diabetes, destabilization of coronary artery disease, gastrointestinal disease, AF episodes, exacerbation of asthma and chronic obstructive pulmonary disease, decompensated heart failure (HF). The 12-month mortality of COVID-19 survivors after the discharge was 3,08%. Multivariate analysis showed that independent risk factors for fatal outcome were age (direct correlation), the levels of hemoglobin (inverse correlation), oxygen saturation (inverse correlation), and aspartate aminotransferase (direct correlation), as well as class III-IV HF, prior stroke, cancer, inhospital acute kidney injury. Based on these identified risk factors, a nomogram was constructed to determine the 3-month mortality risk after discharge.Conclusion. Analysis of ACTIV register showed that end of the acute phase of COVID-19 does not imply a complete recovery.

Analysis of risk factors for COVID-19-related fatal outcome in 337991 patients with type 1 and type 2 diabetes mellitus in 2020–2022 years: Russian nationwide retrospective study

BACKGROUND: The coronavirus pandemic has had an extremely negative impact on the patients with diabetes mellitus (DM both in terms of a more severe course of COVID -19 and an increased risk of death.AIM: Analysis of risk factors for death due to COVID -19 in patients with DM type 1 and type 2 (DM1 and DM2).MATERIALS AND METHODS: Retrospective analysis of the database of the national diabetes register (NDR), which included DM patients with COVID-19 and reported virus infection outcome (recovery/or death) in 15 712 DM1 and 322 279 DM2 patients during a 2-year follow-up period (01/02/2020 to 03/04/2022) (discharge date)).RESULTS: Case fatality rate in patients with DM, who underwent COVID -19 was 17.1% (DM1–8.8%; DM2–17.5%). As a result of multivariate regression analysis of seven significant factors in DM1 and thirteen in DM2 (evaluated by univariate anlisys), a number of the most important predictors of risk for fatal outcome were identified: in DM1 these were age ≥65 years (OR =4.01, 95% CI: 1.42–11.36), presence of arterial hypertension (AH) (OR =2.72, 95% CI: 1.03 -7.16) and diabetic foot syndrome (DFS) (OR = 7.22, 95% CI: 1.98–26.29); for T2DM: age ≥ 65 years (OR =2.53, 95% CI: 1.96–3.27), male (OR =1.51, 95% CI: 1.23–1.84), duration DM ≥10 years (OR =2.01, 95% CI: 1.61–2.51), BMI ≥ 30 kg/m2 (OR =1.26, 95% CI: 1.02–1.55), ASCVD/CKD (OR =1.49, 95% CI: 1.01–2.04), history of diabetic coma (OR =12.97, 95% CI: 1.89–88.99) and presence of disability ( OR =1.40, 95% CI: 1.14–1.73). In T2DM, the type of antidiabetic therapy (ADT) prior to COVID -19 (last visit before the development of infection) had a significant impact: Insulin therapy (OR = 1.64, 95% CI: 1.30–2.07), sulfonylureas (SU) (OR =1.51, 95% CI: 1.23–1.84)); dipeptidyl peptidase-4 inhibitor (iDPP-4) therapy (OR =0.57, 95% CI: 0.39–0.83) and sodium-glucose cotransporter-2 inhibitor (iSGLT2) therapy (OR =0.64, 95% CI: 0.46–0.88). Vaccination was the most important protective factor in both types of DM: DM1 OR =0.19, 95% CI: 0.06–0.59; SD2 OR =0.20, 95% CI: 0.16–0.26.CONCLUSION: The common risk factor for fatal outcome in both DM1 and DM2 was age ≥65 years; in DM1 — history of hypertension and DFS, in DM2 — male sex, diabetes duration ≥10 years, BMI ≥30 kg/m2, history of ASCVD/CKD and diabetic coma, disability. In T2DM, significant differences in risk were observed depending on the type of ADT: insulin and SU therapy were factors that increased the risk of death, whereas therapy with iDPP-4 and iSGLT2 reduced the risk of death. Vaccination reduced the risk of death in DM1 and DM2 by 5.2 and 5-fold, respectively.

Risk factors for mortality in COVID-19 patients in sub-Saharan Africa: A systematic review and meta-analysis.

Mortality rates of coronavirus-2019 (COVID-19) disease continue to increase worldwide and in Africa. In this study, we aimed to summarize the available results on the association between sociodemographic, clinical, biological, and comorbidity factors and the risk of mortality due to COVID-19 in sub-Saharan Africa. We followed the PRISMA checklist (S1 Checklist). We searched PubMed, Google Scholar, and European PMC between January 1, 2020, and September 23, 2021. We included observational studies with Subjects had to be laboratory-confirmed COVID-19 patients; had to report risk factors or predictors of mortality in COVID-19 patients, Studies had to be published in English, include multivariate analysis, and be conducted in the sub-Saharan region. Exclusion criteria included case reports, review articles, commentaries, errata, protocols, abstracts, reports, letters to the editor, and repeat studies. The methodological quality of the studies included in this meta-analysis was assessed using the methodological items for nonrandomized studies (MINORS). Pooled hazard ratios (HR) or odds ratios (OR) and 95% confidence intervals (CI) were calculated separately to identify mortality risk. In addition, publication bias and subgroup analysis were assessed. Twelve studies with a total of 43598 patients met the inclusion criteria. The outcomes of interest were mortality. The results of the analysis showed that the pooled prevalence of mortality in COVID-19 patients was 4.8%. Older people showed an increased risk of mortality from SARS-Cov-2. The pooled hazard ratio (pHR) and odds ratio (pOR) were 9.01 (95% CI; 6.30-11.71) and 1.04 (95% CI; 1.02-1.06), respectively. A significant association was found between COVID-19 mortality and men (pOR = 1.52; 95% CI 1.04-2). In addition, the risk of mortality in patients hospitalized with COVID-19 infection was strongly influenced by chronic kidney disease (CKD), hypertension, severe or critical infection on admission, cough, and dyspnea. The major limitations of the present study are that the data in the meta-analysis came mainly from studies that were published, which may lead to publication bias, and that the causal relationship between risk factors and poor outcome in patients with COVID-19 cannot be confirmed because of the inherent limitations of the observational study. Advanced age, male sex, CKD, hypertension, severe or critical condition on admission, cough, and dyspnea are clinical risk factors for fatal outcomes associated with coronavirus. These findings could be used for research, control, and prevention of the disease and could help providers take appropriate measures and improve clinical outcomes in these patients.

Urinary incontinence as a possible signal of neuromuscular toxicity during immune checkpoint inhibitor treatment: Case report and retrospective pharmacovigilance study.

BackgroundImmune checkpoint inhibitors (ICIs) are associated with different immune-related adverse events (irAEs), but there is limited evidence regarding the association between urinary incontinence and ICIs.MethodsWe described the case of a patient experiencing urinary incontinence who later experienced a series of irAEs such as myocarditis, myositis, and neurologic diseases while on ICI treatment in our hospital. In addition, we queried the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) from the third quarter of 2010 to the third quarter of 2020 to perform a retrospective study to characterize the clinical features of urinary incontinence associated with ICIs.ResultIn the FAERS study, 59 cases of ICI-related urinary incontinence were retrieved, and approximately 32.2% of the cases were fatal. Combination therapy with nervous system drugs and age >80 years old were the significant risk factors for fatal outcomes. Among these cases of ICI-related urinary incontinence, 40.7% (n = 24) occurred concomitantly with other adverse events, especially, neurological (fifteen cases), cardiovascular (seven cases), musculoskeletal (six cases), and urological disorders (five cases). Five cases had an overlapping syndrome similar to our case report, including one case of myasthenia gravis with myocarditis and another of myasthenic syndrome with polymyositis.ConclusionICI-related urinary incontinence might be a signal of fatal neuromuscular irAEs, especially when it occurs concomitantly with ICI-associated neuromuscular–cardiovascular syndrome. Clinicians should be aware of the occurrence of urinary incontinence to identify potentially lethal irAEs in the early phase.

SARS-CoV-2 infection in chronic kidney disease patients with pre-existing dialysis: description across different pandemic intervals and effect on disease course (mortality)

PurposePatients suffering from chronic kidney disease (CKD) are in general at high risk for severe coronavirus disease (COVID-19) but dialysis-dependency (CKD5D) is poorly understood. We aimed to describe CKD5D patients in the different intervals of the pandemic and to evaluate pre-existing dialysis dependency as a potential risk factor for mortality.MethodsIn this multicentre cohort study, data from German study sites of the Lean European Open Survey on SARS-CoV-2-infected patients (LEOSS) were used. We multiply imputed missing data, performed subsequent analyses in each of the imputed data sets and pooled the results. Cases (CKD5D) and controls (CKD not requiring dialysis) were matched 1:1 by propensity-scoring. Effects on fatal outcome were calculated by multivariable logistic regression.ResultsThe cohort consisted of 207 patients suffering from CKD5D and 964 potential controls. Multivariable regression of the whole cohort identified age (> 85 years adjusted odds ratio (aOR) 7.34, 95% CI 2.45–21.99), chronic heart failure (aOR 1.67, 95% CI 1.25–2.23), coronary artery disease (aOR 1.41, 95% CI 1.05–1.89) and active oncological disease (aOR 1.73, 95% CI 1.07–2.80) as risk factors for fatal outcome. Dialysis-dependency was not associated with a fatal outcome—neither in this analysis (aOR 1.08, 95% CI 0.75–1.54) nor in the conditional multivariable regression after matching (aOR 1.34, 95% CI 0.70–2.59).ConclusionsIn the present multicentre German cohort, dialysis dependency is not linked to fatal outcome in SARS-CoV-2-infected CKD patients. However, the mortality rate of 26% demonstrates that CKD patients are an extreme vulnerable population, irrespective of pre-existing dialysis-dependency.

Bloodstream Infections Caused by Klebsiella pneumoniae Carbapenemase-Producing P. aeruginosa Sequence Type 463, Associated With High Mortality Rates in China: A Retrospective Cohort Study.

ObjectivesRecently, KPC-producing P. aeruginosa has rapidly emerged and expanded in East China. Here we described the clinical impact and characteristics of bloodstream infections (BSIs) from the dominant KPC-producing CRPA belonging to Sequence Type (ST) 463.MethodsRetrospective cohort study was performed with CRPA BSI cases from 2019 to 2020 in a hospital in East China. Clinical characteristics, risk factors, and all-course mortality were evaluated. All CRPA isolates had whole-genome sequencing, antimicrobial susceptibility testing, and serum resistance assay. Representative isolates were tested for virulence in a Galleria mellonella infection model.ResultsAmong the 50 CRPA BSI cases, ST463 predominated (48.0%). In multivariate analysis, we found three independent risk factors for fatal outcome: KPC carriage (OR 4.8; CI95% 1.0-23.7; P = 0.05), Pitt bacteremia score (OR 1.3; CI95% 1.0-1.6; P = 0.02), and underlying hematological disease (OR 8.5; CI95% 1.6-46.4; P = 0.01). The baseline clinical variables were not statistically different across STs, however the 28-day mortality was significantly higher in ST463 cases than that in non-ST463 cases (66.7% vs 33.3%, P = 0.03). ExoU and exoS virulence genes coexisted in all ST463 isolates, and the carbapenem resistant gene bla KPC were produced in almost all ST463 isolates, significantly higher than in the non-ST463 group(95.8% vs 7.7%, P<0.001). ST463 CRPA isolates also showed higher resistance rates to antipseudomonal cephalosporins, monobactam, and fluoroquinolones. And ST463 CRPA was confirmed hypervirulence in the larvae model. The genome of one ST463 CRPA strain showed that the bla KPC-2 gene was the sole resistance gene located on a 41,104bp plasmid pZYPA01, carried on a 7-kb composite transposon-like element flanked by two IS26 elements (IS26–Tn3-tnpA–ISKpn27–bla KPC-2–ISKpn6–IS26). Plasmid from various species presented core bla KPC-2 was franked by mobile genetic element ISKpn27 and ISKpn6. ConclusionsIn the ST463 CRPA BSI cohort, the mortality rates were higher than those in the non-ST463 CRPA BSI. The ST463 CRPA clone coharboring the bla KPC and exoU/exoS genes emerged and spread in East China, which might develop to a new threat in the clinic. Our results suggest that the surveillance of the new high-risk clone, ST463 CRPA, should be strengthened in China, even worldwide in the future.

Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter Study.

(1) Background: The aim of our study was to identify specific risk factors for fatal outcome in critically ill COVID-19 patients. (2) Methods: Our data set consisted of 840 patients enclosed in the LEOSS registry. Using lasso regression for variable selection, a multifactorial logistic regression model was fitted to the response variable survival. Specific risk factors and their odds ratios were derived. A nomogram was developed as a graphical representation of the model. (3) Results: 14 variables were identified as independent factors contributing to the risk of death for critically ill COVID-19 patients: age (OR 1.08, CI 1.06–1.10), cardiovascular disease (OR 1.64, CI 1.06–2.55), pulmonary disease (OR 1.87, CI 1.16–3.03), baseline Statin treatment (0.54, CI 0.33–0.87), oxygen saturation (unit = 1%, OR 0.94, CI 0.92–0.96), leukocytes (unit 1000/L, OR 1.04, CI 1.01–1.07), lymphocytes (unit 100/L, OR 0.96, CI 0.94–0.99), platelets (unit 100,000/L, OR 0.70, CI 0.62–0.80), procalcitonin (unit ng/mL, OR 1.11, CI 1.05–1.18), kidney failure (OR 1.68, CI 1.05–2.70), congestive heart failure (OR 2.62, CI 1.11–6.21), severe liver failure (OR 4.93, CI 1.94–12.52), and a quick SOFA score of 3 (OR 1.78, CI 1.14–2.78). The nomogram graphically displays the importance of these 14 factors for mortality. (4) Conclusions: There are risk factors that are specific to the subpopulation of critically ill COVID-19 patients.

MO383COVID - 19 AND AKUTE KIDNEY INJURY- A SINGLE CENTER EXPERIENCE

Background and AimsThe new coronavirus disease (COVID 19) has become a worldwide health emergency with a wide spectrum of clinical presentation, from common cold symptoms to multiorgan failure. A great number of medical centers have reported that patients with COVID-19 have developed acute kidney injury. The kidney is a target organ for SARS - COV2 because of ACE2 receptor, the binding site for this virus, is expressed in kidney tissue. The potential mechanisms for kidney injury are direct kidney injury, inflammation, activation of coagulation and complement cascades. Data from centers worldwide reported a wide range of AKI incidence, from 0,5% in China to 46% in USA. The aim of this study was to analyze incidence, risk factors and outcomes of AKI in hospitalized patients with COVID 19 who were treated from 01.04. to 01.06.2020. at Nephrology Department of University Clinical Center Zvezdara, which was at the time transformed into COVID hospital.MethodThis retrospective observational study included 51 patients who had normal kidney function before the infection with SARS COV2, and 7 of them developed dialysis non-dependent AKI. Analysis included data collection from the patients’ history including demographic, clinical and administrative data. Statistical analysis has been performed using SPSS software version 20 (IBM Corporation, New York, USA).ResultsOut of 51 patients 7 (13.7%) developed AKI, mean age was 59 + 16 years and 53% were male. Diabetes mellitus was present in 27 of patients with AKI, hypertension in 6/7, obesity in 3/7, coronary artery disease in 1/7 and 1 of 7 patients was smoker. These risk factors except obesity (p= 0.05) didn’t vary significantly between two groups (AKI and non AKI patients with COVID-19). Our results showed significant correlation between AKI development and obesity (p= 0.05, OR 4.75), Charlston index score (p=0.01), D dimer score (p=0.01), and CT COVID score (p=0.03). Regarding the outcome, COVID 19 patients with AKI showed 7-fold higher risk for fatal outcome (p= 0.046).ConclusionObesity, higher D dimer values, worse CT findings and higher Charlston comorbidity score index were associated with acute kidney injury in patients with COVID 19. AKI proved to be significant risk factor for fatal outcome in patients with SARS COV2 infection.

Analysis of the hospitalization time impact on hospital mortality from acute myocardial infarction

Diseases of the circulatory system and their most severe form – acute myocardial infarction (AMI) – is one of the most important problems of modern medicine due to the steady increase in morbidity, negative impact on quality of life, early disability of patients. 19.5 % of patients die from AMI, 50 % among which die 90-120 minutes after the first symptoms of the disease.&#x0D; The aim of the research was to analyse the impact of hospitalization on the mortality of patients with AMI and predict the risk of death in case of untimely hospitalization of this category of patients.&#x0D; Materials and methods. We have conducted a retrospective analysis of 876 medical records of patients diagnosed with AMI who were treated in the cardiology department of Kharkiv Regional Clinical Hospital in 2019. During the study, we have used retrospective, logical, medical and statistical methods. Odds ratios and a 95 % confidence interval were also calculated.&#x0D; Results and discussion. The research revealed the impact of hospitalization on the organization of medical care and hospital mortality of patients with AMI. It was found that the largest share of patients with AMI, both among the dead and those who left the hospital, were hospitalized in the period from 2 to 12 hours from the onset of the disease (49.6 % and 52.33 %, respectively), as well as in period after 24 hours – 28.00 % and 21.70 %, respectively. The largest share of patients with AMI, regardless of the time of hospitalization were persons older than 60 years. The results of the analysis showed that in the period up to 2 h from the onset of the disease, the share of hospitalized patients with more severe heart muscle damage (presence of Q wave) was 91.35 % against 8.65 % of patients with AMI without ST segment elevation. It should be noted that in almost 50 % of cases, patients with AMI without ST segment elevation were hospitalized after 24 h from the onset of the disease. At the same time, the largest share of deaths in this group of patients was observed in the hospital stay from 12 to 24 hours. According to the results of the research, risk factors for fatal outcome in AMI were identified, in particular male gender, the presence of an established ECG diagnosis of NSTEMI, conducting SKA in patients with AMI. It was also found that timely hospitalization of patients within the therapeutic window reduces the chances of hospital mortality by 52 %.&#x0D; Conclusions. The obtained data indicate a strong relationship between the time of hospitalization and the organization of medical care and hospital mortality of patients with AMI. It is reliably established that timely hospitalization of patients within the therapeutic window reduces the chances of hospital mortality by 52 %: HS is 0.483 (95 % CI 0.238 – 0.981), p=0.175.

Is Cancer an Independent Risk Factor for Fatal Outcomes of Coronavirus Disease 2019 Patients?

BackgroundCoronavirus disease 2019 (COVID-19), caused by a novel virus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has brought new challenges for global health systems.ObjectiveThe objective of this study was to investigate whether pre-diagnosed cancer was an independent risk factor for fatal outcomes of coronavirus disease 2019 (COVID-19) patients.MethodA comprehensive search was conducted in major databases of PubMed, Web of Science, and EMBASE to identify all published full-text studies as of January 20, 2021. Inter-study heterogeneity was assessed using Cochran's Q-statistic and I² test. A meta-analysis of random- or fixed-effects model was used to estimate the effect size. Publication bias, sensitivity analysis and subgroup analysis were also carried out.ResultsThe confounders-adjusted pooled effects (pooled odds ratio [OR] = 1.47, 95% confidence interval [CI]: 1.31–1.65; pooled hazard ratio [HR] = 1.37, 95% CI: 1.21–1.54) indicated that COVID-19 patients with pre-diagnosed cancer were more likely to progress to fatal outcomes based on 96 articles with 6,518,992 COVID-19 patients. Further subgroup analyses by age, sample size, the proportion of males, region, study design and quality rating exhibited consistent findings with the overall effect size.ConclusionOur analysis provides the objective findings based on the adjusted effect estimates that pre-diagnosed cancer is an independent risk factor for fatal outcome of COVID-19 patients. During the current COVID-19 pandemic, health workers should pay particular attention to cancer care for cancer patients and should prioritize cancer patients for vaccination.

Clinical risk factors for mortality of hospitalized patients with COVID-19: systematic review and meta-analysis.

New evidence from retrospective cohort studies on risk of death from COVID-19 infection became available. We aimed to systematically review the clinical risk factors for fatal outcome of COVID-19. We performed meta-analysis, using PubMed, EMBASE and Cochrane databases from December 1 2019 to June 10 2020. The meta-analysis summarized clinical, laboratory, radiological features, and complications of non-survivors with confirmed COVID-19. In addition, a fixed- or random-effects model was adopted based on the heterogeneity among studies. We also used funnel-plot with Egger's tests to screen potential publication bias. In total, twenty studies with 15,408 COVID-19 cases were included in our meta-analysis. Male, current smoking, and older age were associated with in-hospital death. Patients aged 60 years or over had the highest pooled ORs [OR 4.94 (2.89, 8.44)]. Non-survivors were more likely to have diabetes, hypertension, cardiovascular disease (CVD), respiratory disease, or chronic kidney disease (CKD). Respiratory disease had the highest pooled ORs [OR 2.55 (2.14, 3.05)]. Dyspnea [OR 3.31 (1.78, 6.16); I2 : 83%] and fatigue [OR 1.36 (1.07, 1.73); I2 : 0%] were associated with increased risk of death. Increased white blood cell count, decreased lymphocyte and platelet counts, were also associated with increased risk of death. Biomarkers of coagulation function, inflammation, liver and kidney function, cardiac and muscle injury were also elevated in nonsurvivors. Male, current smoking patients aged 60 years or over might face a greater risk of in-hospital death and the comorbidities such as diabetes, hypertension, CVD, respiratory disease, and CKD could also influence the prognosis of the COVID-19. Clinical feature such as dyspnea and fatigue could imply the exacerbation and even death. Our findings highlighted early markers of mortality which were beneficial to identify fatal COVID-19.

Fatal outcomes of imported dengue fever in adult travelers from non-endemic areas are associated with primary infections.

The case-fatality rate of dengue in travelers is low. Secondary dengue virus (DENV) infections are considered a risk factor for fatal outcome in endemic populations; however, the impact of secondary infections on mortality in travelers has not been studied systematically. We performed a descriptive analysis of case reports of dengue fatalities in travelers. We searched Medline for clinical case reports, using the free terms and MeSH headings: 'Dengue' OR 'Severe Dengue' AND 'Travel-Related Illness' OR 'travel' AND 'Mortality' OR 'Fatal Outcome'. We analyzed case reports of fatal dengue in returning travelers published from 1995 to 2020, with the objective to detail risk factors for dengue mortality in this population. We verified the authors' classifications of primary or secondary dengue infections; infections were considered as primary by absence of anti-DENV immunoglobulin (Ig)G or by IgM-to-IgG ratios greater than or equal to 1.8 in the first 7 days post symptom onset. We identified nine detailed reports of dengue with fatal outcome among travelers from non-endemic countries. Eight fatalities were female. The median age was 32years (range 21-63). Out of nine fatal cases, seven travelers had a primary DENV infection, one had a secondary infection and, in one, these data were not reported. The infecting DENV serotypes were DENV-1 (n = 2), DENV-2 (n = 2) and DENV-3 (n = 3); DENV-1 or 2 (n = 1) and in one case, the serotype could not be determined. Dengue-related deaths in travelers are rare. Most dengue cases in travelers are primary infections. Contrary to prevailing conceptions, we found that fatal outcomes of dengue in travelers from non-endemic countries were reported mainly with primary DENV infections. We alert health care providers that primary DENV infections are not always harmless and that in adult travelers from non-endemic countries, primary infections may contribute more to dengue-related mortality than secondary infections.

Risk factors for mortality in hemodialysis patients with COVID-19: a systematic review and meta-analysis

Background New evidence from studies on risk factors for mortality in hemodialysis (HD) patients with COVID-19 became available. We aimed to review the clinical risk factors for fatal outcomes in these patients. Methods We performed meta-analysis using the PubMed, EMBASE, and Cochrane databases. A fixed- or random-effects model was used for calculating heterogeneity. We used contour-enhanced funnel plot and Egger’s tests to assess potential publication bias. Results Twenty-one studies were included. The proportion of males was lower in the survivor group than in the non-survivor group (OR = 0.75, 95% CI [0.61, 0.94]). The proportion of respiratory diseases was significantly lower in the survivor group than in the non-survivor group (OR = 0.42, 95% CI [0.29, 0.60]). The proportion of patients with fever, cough, and dyspnea was significantly lower in the survivor group (fever: OR = 0.53, 95% CI [0.31, 0.92]; cough: OR = 0.50, 95% CI [0.38, 0.65]; dyspnea: OR = 0.25, 95% CI [0.14, 0.47]) than in the non-survivor group. Compared with the non-survivor group, the survivor group had higher albumin and platelet levels and lower leucocyte counts. Conclusions Male patients might have a higher risk of developing severe COVID-19. Comorbidities, such as respiratory diseases could also greatly influence the clinical prognosis of COVID-19. Clinical features, such as fever, dyspnea, cough, and abnormal platelet, leucocyte, and albumin levels, could imply eventual death. Our findings will help clinicians identify markers for the detection of high mortality risk in HD patients at an early stage of COVID-19.