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1.
Biomedicines ; 11(3)2023 Mar 17.
Article in English | MEDLINE | ID: covidwho-2275058

ABSTRACT

BACKGROUND: During the SARS-CoV-2 pandemic, several biomarkers were shown to be helpful in determining the prognosis of COVID-19 patients. The aim of our study was to evaluate the prognostic value of N-terminal pro-Brain Natriuretic Peptide (NT-pro-BNP) in a cohort of patients with COVID-19. METHODS: One-hundred and seven patients admitted to the Covid Hospital of Messina University between June 2022 and January 2023 were enrolled in our study. The demographic, clinical, biochemical, instrumental, and therapeutic parameters were recorded. The primary outcome was in-hospital mortality. A comparison between patients who recovered and were discharged and those who died during the hospitalization was performed. The independent parameters associated with in-hospital death were assessed by multivariable analysis and a stepwise regression logistic model. RESULTS: A total of 27 events with an in-hospital mortality rate of 25.2% occurred during our study. Those who died during hospitalization were older, with lower GCS and PaO2/FiO2 ratio, elevated D-dimer values, INR, creatinine values and shorter PT (prothrombin time). They had an increased frequency of diagnosis of heart failure (p < 0.0001) and higher NT-pro-BNP values. A multivariate logistic regression analysis showed that higher NT-pro-BNP values and lower PT and PaO2/FiO2 at admission were independent predictors of mortality during hospitalization. CONCLUSIONS: This study shows that NT-pro-BNP levels, PT, and PaO2/FiO2 ratio are independently associated with in-hospital mortality in subjects with COVID-19 pneumonia. Further longitudinal studies are warranted to confirm the results of this study.

2.
CNS Neurol Disord Drug Targets ; 21(10): 1017-1026, 2022.
Article in English | MEDLINE | ID: covidwho-1963225

ABSTRACT

The new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) represents a public health problem worldwide. COVID-19 triggers a maladaptive cytokine release commonly referred to as cytokine storm syndrome with increased production of proinflammatory cytokines, which also appears to contribute to chronic neuroinflammation and neurodegenerative disorders' appearance, including multiple sclerosis, Parkinson's disease, and Alzheimer's disease. In this context, SARS-CoV-2 might enter the central nervous system through binding with the angiotensin converting enzyme 2 receptors which are highly expressed in glial cells and neurons. For this reason, an association between COVID-19, its dependent cytokine storm, and the development and/or progression of neurodegenerative disorders might be evaluated. Therefore, the aim of this review was to assess the impact of COVID-19 on neurodegenerative disorders, focusing on the possible increased mortality risk and/or deterioration of the clinical course of pre-existing chronic neurological diseases in patients with dementia.


Subject(s)
COVID-19 , Dementia , Neurodegenerative Diseases , COVID-19/complications , Cytokine Release Syndrome , Cytokines/metabolism , Dementia/epidemiology , Humans , Neurodegenerative Diseases/complications , Neurodegenerative Diseases/epidemiology , Pandemics , SARS-CoV-2
3.
Medicina (Kaunas) ; 58(4)2022 Apr 11.
Article in English | MEDLINE | ID: covidwho-1785810

ABSTRACT

Background and objectives: COVID-19 is associated with an aberrant inflammatory response that may trigger new-onset cardiac arrhythmias. The aim of this study was to assess the mortality risk in hospitalized COVID-19 patients according to IL-6 serum levels and new-onset atrial fibrillation (AF) according to PaO2/FiO2 stratification. Materials and Methods: 175 COVID-19 patients (25 new-onset AF, 22 other types of AF and 128 no-AF) were included in this single-center, retrospective study; clinical and demographic data, vital signs, electrocardiograms and laboratory results were collected and analyzed. The primary outcome of the study was to evaluate the mortality rate in new-onset AF patients according to IL-6 serum levels and PaO2/FiO2 stratification. Results: The incidence of new-onset AF in the study population was 14.2%. Compared to the no-AF group, new-onset AF patients were older with a positive history of chronic kidney disease and heart failure, had higher IL-6, creatinine and urea serum levels whereas their platelet count was reduced. After PaO2/FiO2 stratification, 5-days mortality rate was higher in new-onset AF patients compared to patients with other types of AF and no-AF patients, and mortality risk increases 5.3 fold compared to no-AF (p = 0.0014) and 4.8 fold compared to other forms of AF (p = 0.03). Conclusions: New-onset AF is common in COVID-19 patients and is associated with increased IL-6 serum levels and early mortality. Further studies are needed to support the use of IL-6 as an early molecular target for COVID-19 patients to reduce their high rate of mortality.


Subject(s)
Atrial Fibrillation , COVID-19 , Interleukin-6/blood , Respiratory Distress Syndrome , Atrial Fibrillation/epidemiology , COVID-19/complications , Dyspnea , Female , Humans , Male , Retrospective Studies , Risk Factors
4.
J Clin Med ; 11(1)2021 Dec 31.
Article in English | MEDLINE | ID: covidwho-1580630

ABSTRACT

To realize a machine learning (ML) model to estimate the dose of low molecular weight heparin to be administered, preventing thromboembolism events in COVID-19 patients with active cancer. Methods: We used a dataset comprising 131 patients with active cancer and COVID-19. We considered five ML models: logistic regression, decision tree, random forest, support vector machine and Gaussian naive Bayes. We decided to implement the logistic regression model for our study. A model with 19 variables was analyzed. Data were randomly split into training (70%) and testing (30%) sets. Model performance was assessed by confusion matrix metrics on the testing data for each model as positive predictive value, sensitivity and F1-score. Results: We showed that the five selected models outperformed classical statistical methods of predictive validity and logistic regression was the most effective, being able to classify with an accuracy of 81%. The most relevant result was finding a patient-proof where python function was able to obtain the exact dose of low weight molecular heparin to be administered and thereby to prevent the occurrence of VTE. Conclusions: The world of machine learning and artificial intelligence is constantly developing. The identification of a specific LMWH dose for preventing VTE in very high-risk populations, such as the COVID-19 and active cancer population, might improve with the use of new training ML-based algorithms. Larger studies are needed to confirm our exploratory results.

5.
Front Med (Lausanne) ; 8: 719976, 2021.
Article in English | MEDLINE | ID: covidwho-1472391

ABSTRACT

Objective: Coronavirus disease 2019 (COVID-19) is a disease with a high rate of progression to critical illness. However, the stratification of patients at risk of mortality is not well defined. In this study, we aimed to define a mortality risk index to allocate patients to the appropriate intensity of care. Methods: This is a 12 months observational longitudinal study designed to develop and validate a pragmatic mortality risk score to stratify COVID-19 patients aged ≥18 years and admitted to hospital between March 2020 and March 2021. Main outcome was in-hospital mortality. Results: 244 patients were included in the study (mortality rate 29.9%). The Covid-19 Assessment for Survival at Admission (CASA) index included seven variables readily available at admission: respiratory rate, troponin, albumin, CKD-EPI, white blood cell count, D-dimer, Pa02/Fi02. The CASA index showed high discrimination for mortality with an AUC of 0.91 (sensitivity 98.6%; specificity 69%) and a better performance compared to SOFA (AUC = 0.76), age (AUC = 0.76) and 4C mortality (AUC = 0.82). The cut-off identified (11.994) for CASA index showed a negative predictive value of 99.16% and a positive predictive value of 57.58%. Conclusions: A quick and readily available index has been identified to help clinicians stratify COVID-19 patients according to the appropriate intensity of care and minimize hospital admission to patients at high risk of mortality.

6.
Medicine (Baltimore) ; 100(8): e24552, 2021 Feb 26.
Article in English | MEDLINE | ID: covidwho-1119146

ABSTRACT

ABSTRACT: Although myocarditis can be a severe cardiac complication of COVID-19 patients, few data are available in the literature about the incidence and clinical significance in patients affected by SARS-CoV-2. This study aims to describe the prevalence and the clinical features of suspected myocarditis in 3 cohorts of patients hospitalized for COVID-19. We retrospectively evaluated all the consecutive patients admitted for COVID-19 without exclusion criteria. Suspect myocarditis was defined according to current guidelines. Age, sex, in-hospital death, length of stay, comorbidities, serum cardiac markers, interleukin-6, electrocardiogram, echocardiogram, and therapy were recorded. Between March 4 to May 20, 2020, 1169 patients with COVID-19 were admitted in 3 Italian Medicine wards. 12 patients (1%) had suspected acute myocarditis; 5 (41.7%) were men, mean age was 76 (SD 11.34; median 78.5 years); length of stay was 38 days on average (SD 8, median value 37.5); 3 (25%) patients died. 8 (66.7%) had a history of cardiac disease; 7 (58.33%) patients had other comorbidities like diabetes, chronic obstructive pulmonary disease, or renal insufficiency. Myocarditis patients had no difference in sex prevalence, rate of death, comorbidities, elevations in serum cardiac markers as compared with patients without myocardial involvement. Otherwise, there was a significantly higher need for oxygen-support and a higher prevalence of cardiac disease in the myocarditis group. Patients with suspected myocarditis were older, had a higher frequency of previous cardiac disease, and significantly more prolonged hospitalization and a lower value of interleukin-6 than other COVID-19 patients. Further studies, specifically designed on this issue, are warranted.


Subject(s)
COVID-19/complications , Myocarditis/etiology , Age Factors , Aged , Aged, 80 and over , COVID-19/mortality , COVID-19/physiopathology , Comorbidity , Electrocardiography , Female , Hospital Mortality , Humans , Interleukin-6/blood , Italy/epidemiology , Length of Stay , Male , Middle Aged , Myocarditis/physiopathology , Oxygen Inhalation Therapy , Retrospective Studies , SARS-CoV-2 , Sex Factors
7.
Neurol Sci ; 42(3): 811-816, 2021 Mar.
Article in English | MEDLINE | ID: covidwho-1028115

ABSTRACT

The COVID-19 outbreak has had a dramatic impact on the healthcare system due to the rapid, worldwide spread of the virus, highlighting several considerations on the best management of infected patients and also potential risks and prognostic factors in patients with pre-existing chronic diseases exposed to the virus. Neurodegenerative disorders are known to be chronic, disabling diseases that imply a higher vulnerability to infections, and for this reason, it has been suggested that SARS-CoV-2 infection may have a worse course in these patients. In the present study, we report our experience with 12 patients affected by Parkinson's disease (PD) who became infected with SARS-Cov-2 due to a COVID-19 outbreak in a care residency, and thus hospitalised in our COVID hospital. Most of the PD patients had a long disease duration and multiple comorbidities even though SARS-CoV-2 manifestations were mild, and none required intensive care. Despite lung conditions, most of our PD patients had mild symptoms: 7 patients were clinically asymptomatic (58.3%); 3 patients had fever, cough, and myalgia (25%) and 2 patients had dyspnoea (16%) that needed high-flow oxygen therapy. Few complications related to PD were seen. All patients were discharged after a mean hospitalisation period of 30 days. Mortality rate during hospitalisation was zero. Our findings suggest that SARS-CoV-2 infection does not have a poor prognosis in patients with PD. More extensive data and evaluations, however, are needed to confirm our data, and caution is warranted.


Subject(s)
COVID-19/complications , Parkinson Disease/virology , Aged , Aged, 80 and over , Cohort Studies , Female , Humans , Male , Middle Aged , Nursing Homes , Rehabilitation Centers , Retrospective Studies , SARS-CoV-2
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