COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining.
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ABSTRACT:
SUBMITTER: Stella GM
PROVIDER: S-EPMC8107544 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
Publications
COVID-19 epidemic in a Respiratory Diseases Unit: predictor ranking and mining.
Stella Giulia M GM Piloni Davide D Accordino Giulia G Grosso Amelia A Albicini Federica F Gini Erica E Mancinelli Silvia S Della Zoppa Matteo M Marchelli Andrea P G APG Bortolotto Chandra C Corsico Angelo G AG
Journal of thoracic disease 20210401 4
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Project description:In Italy, the first SARS-CoV-2 infections were diagnosed in Rome, Lazio region, at the end of January 2020, but sustained transmission occurred later, since the end of February. From 1 February to 12 April 2020, 17,164 nasopharyngeal swabs were tested by real time PCR for the presence of SARS-CoV-2 at the Laboratory of Virology of National Institute for Infectious Diseases "Lazzaro Spallanzani" (INMI) in Rome. In the same period, coincident with the winter peak of influenza and other respiratory illnesses, 847 samples were analyzed by multiplex PCR assay for the presence of common respiratory pathogens. In our study the time trend of SARS-CoV-2 and that of other respiratory pathogens in the same observation period were analysed. Overall, results obtained suggest that the spread of the pandemic SARS-CoV-2 virus did not substantially affect the time trend of other respiratory infections in our region, highlighting no significant difference in rates of SARS-CoV-2 infection in patients with or without other respiratory pathogens. Therefore, in the present scenario of COVID-19 pandemic, differential diagnosis resulting positive for common respiratory pathogen(s) should not exclude testing of SARS-CoV-2.
| S-EPMC7255241 | biostudies-literature
Project description:The pandemic of Coronavirus Disease 2019 (COVID-19) presents the world with the medical challenge associated with multifactorial nature of this pathology. Indeed COVID-19 affects several organs and systems and presents diversified clinical picture. COVID-19 affects the brain in many ways including direct infection of neural cells with SARS-CoV-2, severe systemic inflammation which floods the brain with pro-inflammatory agents thus damaging nervous cells, global brain ischaemia linked to a respiratory failure, thromboembolic strokes related to increased intravascular clotting and severe psychological stress. Often the COVID-19 is manifested by neurological and neuropsychiatric symptoms that include dizziness, disturbed sleep, cognitive deficits, delirium, hallucinations and depression. All these indicate the damage to the nervous tissue which may substantially increase the incidence of neurodegenerative diseases and promote dementia.
| S-EPMC7691955 | biostudies-literature
Project description:The public health interventions to mitigate coronavirus disease 2019 (COVID-19) could also potentially reduce the global activity of influenza. However, this strategy's impact on other common infectious diseases is unknown. We collected data of 10 respiratory infectious (RI) diseases, influenza-like illnesses (ILIs), and seven gastrointestinal infectious (GI) diseases during 2015-2020 in China and applied two proportional tests to check the differences in the yearly incidence and mortality, and case-fatality rates (CFRs) over the years 2015-2020. The results showed that the overall RI activity decreased by 7.47%, from 181.64 in 2015-2019 to 168.08 per 100 000 in 2020 (p < 0.001); however, the incidence of influenza was seen to have a 16.08% escalation (p < 0.001). In contrast, the average weekly ILI percentage and positive influenza virus rate decreased by 6.25% and 61.94%, respectively, in 2020 compared to the previous 5 years (all p < 0.001). The overall incidence of GI decreased by 45.28%, from 253.73 in 2015-2019 to 138.84 in 2020 per 100 000 (p < 0.001), and with the greatest decline seen in hand, foot, and mouth disease (HFMD) (64.66%; p < 0.001). The mortality and CFRs from RI increased by 128.49% and 146.95%, respectively, in 2020, compared to 2015-2019 (p < 0.001). However, the mortality rates and CFRs of seven GI decreased by 70.56% and 46.12%, respectively (p < 0.001). In conclusion, China's COVID-19 elimination/containment strategy is very effective in reducing the incidence rates of RI and GI, and ILI activity, as well as the mortality and CFRs of GI diseases.
| S-EPMC9015532 | biostudies-literature
Project description:PurposeTo evaluate if reduced muscle mass, assessed with Computed Tomography (CT), is a predictor of intensive care unit (ICU) hospitalization in COVID-19 patients.MethodsIn this Institution Review Board approved study, we retrospectively evaluated COVID-19 patients treated in our tertiary center from March to November 2020 who underwent an unenhanced chest CT scan within three weeks from hospitalization.We recorded the mean Hounsfield Unit (Hu) value of the right paravertebral muscle at the level of the 12th thoracic vertebra, the hospitalization unit (ICU and COVID-19 wards), clinical symptoms, Barthel Index, and laboratory findings.Logistic regression analysis was applied to assess if muscle loss (Hu<30) is a predictor of ICU admission and outcome.Fisher's exact and Student's tests were applied to evaluate if differences between patients with and without muscle loss occurred (p<0.05).ResultsOne-hundred-fifty patients matched the inclusion criteria (46 females; mean age±SD 61.3±15 years-old), 36 treated in ICU. Patients in ICU showed significantly lower Hu values (29±24 vs 39.4±12, p = 0.001). Muscle loss was a predictor of ICU admission (p = 0.004).Patients with muscle loss were significantly older (73.4±10 vs 56.4±14 years), had lower Barthel Index scores (54.4±33 vs 85.1±26), red blood-cell count (3.9±1 vs 4.6±1×1012L-1), and Hb levels (11.5±2 vs 13.2±2g/l) as well as higher white blood-cell count (9.4±7 vs 7.2±4×109L-1), C-reactive protein (71.5±71 vs 44±48U/L), and lactate dehydrogenase levels (335±163 vs 265.8±116U/L) (p<0.05, each).ConclusionsMuscle loss seems to be a predictor of ICU hospitalization in COVID-19 patients and radiologists reporting chest CT at admission should note this finding in their reports.
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Project description:Background15% of COVID-19 patients develop severe pneumonia. Non-invasive mechanical ventilation and high-flow nasal cannula can reduce the rate of endotracheal intubation in adult respiratory distress syndrome, although failure rate is high.ObjectiveTo describe the rate of endotracheal intubation, the effectiveness of treatment, complications and mortality in patients with severe respiratory failure due to COVID-19.MethodsProspective cohort study in a first-level hospital in Madrid. Patients with a positive polymerase chain reaction for SARS-CoV-2 and admitted to the Intermediate Respiratory Care Unit with tachypnea, use of accessory musculature or SpO2 <92% despite FiO2> 0.5 were included. Intubation rate, medical complications, and 28-day mortality were recorded. Statistical analysis through association studies, logistic and Cox regression models and survival analysis was performed.ResultsSeventy patients were included. 37.1% required endotracheal intubation, 58.6% suffered medical complications and 24.3% died. Prone positioning was independently associated with lower need for endotracheal intubation (OR 0.05; 95% CI 0.005 to 0.54, p = 0.001). The adjusted HR for death at 28 days in the group of patients requiring endotracheal intubation was 5.4 (95% CI 1.51 to 19.5; p = 0.009).ConclusionsThe rate of endotracheal intubation in patients with severe respiratory failure from COVID-19 was 37.1%. Complications and mortality were lower in patients in whom endotracheal intubation could be avoided. Prone positioning could reduce the need for endotracheal intubation.
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Project description:ObjectiveThis study aimed to investigate the effects of nursing intervention based on protection motivation theory (PMT) on patients with respiratory diseases in the context of the Coronavirus Disease 2019 (COVID-19) pandemic.MethodsA total of 74 patients with respiratory diseases who were hospitalized from June 2020 to February 2021 were enrolled and stratified into a control group (n = 37) and an experimental group (n = 37) according to a stratified random sampling method. The control group adopted a routine nursing intervention program of the respiratory department, whereas the experimental group received a PMT-based nursing intervention program on the basis of the control group. Chronic Disease Self-Management Study Measures (CDSMS) and Self-Efficacy for Managing Chronic Diseases 6-item Scale (SECD6) were used to evaluate the effect of PMT intervention before intervention, after 1 week, and after 4 weeks of intervention. The levels of forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), FEV1/FVC and peak expiratory flow (PEF) were measured to evaluate pulmonary function.ResultsBefore the intervention, there were no significant differences in the scores of CDSMS and SECD6 scales and liver function indexes between the two groups (p > 0.05). After 1 and 4 weeks of intervention, the scores of CDSMS and SECD6 scales of the experimental group were significantly higher than those of the control group (p < 0.0001). The indexes of pulmonary function of the experimental group were improved, but there was no significant difference compared with the control group (p > 0.05).ConclusionNursing intervention based on PMT contributes to the improvement of self-management behaviors and self-efficacy, which is conducive to the prognoses of patients.
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Project description:BackgroundStudies on the role of eosinophils in coronavirus disease 2019 (COVID-19) are scarce, though available findings suggest a possible association with disease severity. Our study analyzes the relationship between eosinophils and COVID-19, with a focus on disease severity and patients with underlying chronic respiratory diseases.MethodsWe performed a retrospective analysis of 3018 subjects attended at two public hospitals in Madrid (Spain) with PCR-confirmed SARS-CoV-2 infection from January 31 to April 17, 2020. Patients with eosinophil counts less than 0.02×109/L were considered to have eosinopenia. Individuals with chronic respiratory diseases (n=384) were classified according to their particular underlying condition, i.e., asthma, chronic pulmonary obstructive disease, or obstructive sleep apnea.ResultsOf the 3018 patients enrolled, 479 were excluded because of lack of information at the time of admission. Of 2539 subjects assessed, 1396 patients presented an eosinophil count performed on admission, revealing eosinopenia in 376 cases (26.93%). Eosinopenia on admission was associated with a higher risk of intensive care unit (ICU) or respiratory intensive care unit (RICU) admission (OR:2.21; 95%CI:1.42-3.45; p<0.001) but no increased risk of mortality (p>0.05).ConclusionsEosinopenia on admission conferred a higher risk of severe disease (requiring ICU/RICU care), but was not associated with increased mortality. In patients with chronic respiratory diseases who develop COVID-19, age seems to be the main risk factor for progression to severe disease or death.
| S-EPMC8208034 | biostudies-literature
Project description:Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II scores show only limited performance for predicting the survival of severely ill COVID-19 patients. Comprehensively capturing the host physiology, we speculated that proteomics in combination with new data-driven analysis strategies could produce a new generation of prognostic discriminators. We studied two independent cohorts of patients with severe COVID-19 who required intensive care and invasive mechanical ventilation. SOFA score, Charlson comorbidity index and APACHE II score were poor predictors of survival. Instead, using plasma proteomes quantifying 302 plasma protein groups at 387 timepoints in 57 critically ill patients on invasive mechanical ventilation, we found 14 proteins that showed trajectories different between survivors and non-survivors. A proteomic predictor trained on single samples obtained at the first time point at maximum treatment level (i.e. WHO grade 7) and weeks before the outcome, achieved accurate classification of survivors (AUROC 0.81, n=49). We tested the established predictor on an independent validation cohort (AUROC of 1.0, n=24). The majority of proteins with high relevance in the prediction model belong to the coagulation system and complement cascade. Our study demonstrates that predictors derived from plasma protein levels have the potential to substantially outperform current prognostic markers in intensive care.
2022-03-03 | PXD029009 | Pride