Risultati per: Ipotesi sull’origine di Omicron e sua evoluzione

Objective
The objective is to externally validate and assess the opportunity to update the Canadian COVID-19 Mortality Score (CCMS) to predict in-hospital mortality among consecutive non-palliative COVID-19 patients infected with Omicron subvariants at a time when vaccinations were widespread.

Design
This observational study validated the CCMS in an external cohort at a time when Omicron variants were dominant. We assessed the potential to update the rule and improve its performance by recalibrating and adding vaccination status in a subset of patients from provinces with access to vaccination data and created the adjusted CCMS (CCMSadj). We followed discharged patients for 30 days after their index emergency department visit or for their entire hospital stay if admitted.

Setting
External validation cohort for CCMS: 36 hospitals participating in the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN). Update cohort for CCMSadj: 14 hospitals in CCEDRRN in provinces with vaccination data.

Participants
Consecutive non-palliative COVID-19 patients presenting to emergency departments.

Main outcome measures
In-hospital mortality.

Results
Of 39 682 eligible patients, 1654 (4.2%) patients died. The CCMS included age, sex, residence type, arrival mode, chest pain, severe liver disease, respiratory rate and level of respiratory support and predicted in-hospital mortality with an area under the curve (AUC) of 0.88 (95% CI 0.87 to 0.88) in external validation. Updating the rule by recalibrating and adding vaccination status to create the CCMSadj changed the weights for age, respiratory status and homelessness, but only marginally improved its performance, while vaccination status did not. The CCMSadj had an AUC of 0.91 (95% CI 0.89 to 0.92) in validation. CCMSadj scores of 56.8%.

Conclusions
The CCMS remained highly accurate in predicting mortality from Omicron and improved marginally through recalibration. Adding vaccination status did not improve the performance. The CCMS can be used to inform patient prognosis, goals of care conversations and guide clinical decision-making for emergency department patients with COVID-19.

Circulation, Volume 150, Issue Suppl_1, Page A4139661-A4139661, November 12, 2024. Introduction:Troponin-defined myocardial injury or N-terminal pro-B-type natriuretic peptide (NT-proBNP) elevation frequently coincides with coronavirus disease 2019 (COVID-19). Our prior study (COVID-MI Registry Cohort-1) confirmed that high-sensitive troponin I (HsTnI) and NT-proBNP effectively stratified mortality risk. However, variants of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) change rapidly, and it remains unclear whether these biomarkers are consistently effective in predicting prognosis of COVID-19 patients irrespective of epidemic periods.Research Questions:Can HsTnI or NT-proBNP stratify mortality risk in recent COVID-19 cohorts?Aims:To assess the potential of HsTnI and NT-proBNP levels for risk stratification in the recent COVID-19 waves.Methods:In the COVID-MI Registry Cohort-2, we enrolled 1115 consecutive COVID-19 patients admitted between October 2021 and October 2022, during the Omicron variant endemic. We collected data of HsTnI or NT-proBNP levels from hospital charts or using the samples in our hospital’s serum/plasma bank if the data were not available. The primary outcome measure was all-cause mortality.Results:On admission, more than one-third of patients were classified as having severe COVID-19. HsTnI and NT-proBNP levels were available for 427 and 414 patients, respectively. The median HsTnI and NT-proBNP levels were 16 (interquartile range [IQR]: 5-57) ng/L and 524 (IQR: 140-2056) pg/mL, respectively. We stratified the patients into three groups by HsTnI level:

I pediatri italiani firmano una proposta di legge europea con Coldiretti

Annals of Internal Medicine, Ahead of Print.

Objectives
With the emergence of new COVID-19 variants (Omicron BA.5.2.48 and B.7.14), predicting the mortality of infected patients has become increasingly challenging due to the continuous mutation of the virus. Existing models have shown poor performance and limited clinical utility. This study aims to identify the independent risk factors and develop practical predictive models for mortality among patients infected with new COVID-19 variants.

Design
A retrospective study.

Setting and participants
We extracted data from 1029 COVID-19 patients in the respiratory disease wards of a general hospital in China between 22 December 2022 and 15 February 2023.

Outcome measures
Mortality within 15 days after hospital discharge.

Results
A total of 987 cases with new COVID-19 variants (Omicron BA.5.2.48 and B.7.14) were eventually included, among them, 153 (15.5%) died. Non-invasive ventilation, intubation, myoglobin, international normalised ratio, age, number of diagnoses, respiratory rate, pulse, neutrophil count and albumin were the most important predictors of mortality among new COVID-19 variants. The area under the curve of logistic regression (LR), decision tree (DT) and Extreme Gradient Boosting (XGBoost) models were 0.959, 0.883 and 0.993, respectively. The diagnostic accuracy was 0.926 for LR, 0.918 for DT and 0.977 for XGBoost. XGBoost model had the highest sensitivity (0.908) and specificity (0.989).

Conclusion
Our study developed and validated three practical models for predicting mortality in patients with new COVID-19 variants. All models performed well, and XGBoost was the best-performing model.

Iniziativa prof.Manfellotto presentata al Panetary Health Verona

I sintomi e le cure. “Proteggere i vulnerabili”

New England Journal of Medicine, Ahead of Print.

Annals of Internal Medicine, Ahead of Print.

New England Journal of Medicine, Ahead of Print.

Objectives
The study aims to identify the outcome and the related factors of unvaccinated patients with end-stage kidney disease during the Omicron pandemic.

Design
A multicentre retrospective study of patients with end-stage kidney disease undergone maintenance haemodialysis (HD) in China.

Setting
6 HD centres in China.

Participants
A total of 654 HD patients who tested positive for SARS-CoV-2 were ultimately included in the study.

Outcome measures
The primary outcomes of interest were adverse outcomes, including hospitalisation due to COVID-19 and all-cause mortality.

Results
The average age of the patients was 57 years, with 33.6% of them being over 65 years. Among the patients, 57.5% were male. During the follow-up period, 158 patients (24.2%) experienced adverse outcomes, and 93 patients (14.2%) died. The majority of patients (88/158) developed adverse outcomes within 30 days, and most deaths (77/93) occurred within 1 month. An advanced multivariable Cox regression analysis identified that adverse outcomes were associated with various factors while all-cause mortality was related to advanced age, male gender, high levels of C reactive protein (CRP) and low levels of prealbumin. The Kaplan-Meier curves demonstrated significantly higher all-cause mortality rates in the older, male, high CRP and low prealbumin subgroups.

Conclusions
Among unvaccinated HD patients with confirmed Omicron infections, various factors were found to be linked to adverse outcomes. Notably, age, sex, CRP and prealbumin had a substantial impact on the risk of all-cause mortality.

Su Nature uno studio spagnolo suggerisce che quasi tutti coloro che hanno due copie della variante genetica ApoE4 sviluppano la malattia

Per alcune donne in futuro potrebbe non essere necessaria

Rapporto Essity-Bocconi: ‘Supporto psicologico meno presidiato’