Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
Cureus ; 15(2): e35437, 2023 Feb.
Article in English | MEDLINE | ID: covidwho-2274981

ABSTRACT

Introduction Prone positioning during ventilation is recommended for patients with severe coronavirus disease 2019 (COVID-19). However, the efficacy of first-session prone positioning in improving short-term outcomes remains unclear. Therefore, we aimed to investigate the impact of the rate of change in partial pressure of oxygen/fraction of inspired oxygen (P/F) ratio before and after initial prone positioning on activities of daily living (ADL) and outcomes at discharge. Methods In this retrospective chart review, 22 patients with severe COVID-19 who required ventilator management between April and September 2021 were analyzed. Patients with an improvement in the P/F ratio (after initial prone positioning, compared to that before the session) by > 16mHg and < 16mmHg were defined as responders and non-responders, respectively. Results Compared with non-responders, responders had a significantly shorter ventilator duration, a higher Barthel Index at discharge, and a higher proportion of discharged patients. There was a significant between-group difference in chronic respiratory comorbidities, with one case (7.7%) among responders and six cases (66.7%) among non-responders. Conclusions This study is the first of its kind to investigate short-term outcomes in patients with COVID-19 requiring ventilator management after initial prone positioning. After initial prone positioning, responders had higher P/F ratios as well as improved ADLs and outcomes at discharge.

2.
Artif Organs ; 2022 Nov 28.
Article in English | MEDLINE | ID: covidwho-2136653

ABSTRACT

BACKGROUND: Many patients with severe coronavirus disease 2019 (COVID-19) pneumonia experience hyperglycemia. It is often difficult to control blood glucose (BG) levels in such patients using standard intravenous insulin infusion therapy. Therefore, we used an artificial pancreas. This study aimed to compare the BG status of the artificial pancreas with that of standard therapy. METHODS: Fifteen patients were included in the study. BG values and the infusion speed of insulin and glucose by the artificial pancreas were collected. Arterial BG and administration rates of insulin, parenteral sugar, and enteral sugar were recorded during the artificial pancreas and standard therapy. The target BG level was 200 mg/dl. RESULTS: Arterial BG was highly correlated with BG data from the artificial pancreas. A higher BG slightly increased the difference between the BG data from the artificial pancreas and arterial BS. No significant difference in arterial BG was observed between the artificial pancreas and standard therapy. However, the standard deviation with the artificial pancreas was smaller than that under standard therapy (p < 0.0001). More points within the target BG range were achieved with the artificial pancreas (180-220 mg/dl) than under standard therapy. The hyperglycemic index of the artificial pancreas (8.7 ± 15.6 mg/dl) was lower than that of standard therapy (16.0 ± 21.5 mg/dl) (p = 0.0387). No incidence of hypoglycemia occurred under the artificial pancreas. CONCLUSIONS: The rate of achieving target BG was higher using artificial pancreas than with standard therapy. An artificial pancreas helps to control BG in critically ill patients.

3.
Front Immunol ; 11: 596553, 2020.
Article in English | MEDLINE | ID: covidwho-979020

ABSTRACT

The severity of SARS-CoV-2 infection has been related to uncontrolled inflammatory innate responses and impaired adaptive immune responses mostly due to exhausted T lymphocytes and lymphopenia. In this work we have characterized the nature of the lymphopenia and demonstrate a set of factors that hinder the effective control of virus infection and the activation and arming of effector cytotoxic T CD8 cells and showing signatures defining a high-risk population. We performed immune profiling of the T helper (Th) CD4+ and T CD8+ cell compartments in peripheral blood of 144 COVID-19 patients using multiparametric flow cytometry analysis. On the one hand, there was a consistent lymphopenia with an overrepresentation of non-functional T cells, with an increased percentage of naive Th cells (CD45RA+, CXCR3-, CCR4-, CCR6-, CCR10-) and persistently low frequency of markers associated with Th1, Th17, and Th1/Th17 memory-effector T cells compared to healthy donors. On the other hand, the most profound alteration affected the Th1 subset, which may explain the poor T cells responses and the persistent blood virus load. Finally, the decrease in Th1 cells may also explain the low frequency of CD4+ and CD8+ T cells that express the HLA-DR and CD38 activation markers observed in numerous patients who showed minimal or no lymphocyte activation response. We also identified the percentage of HLA-DR+CD4+ T cells, PD-1+CD+4/CD8+ T cells in blood, and the neutrophil/lymphocyte ratio as useful factors for predicting critical illness and fatal outcome in patients with confirmed COVID-19.


Subject(s)
CD4-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/immunology , COVID-19/immunology , SARS-CoV-2/immunology , T-Lymphocytes, Helper-Inducer/immunology , Th1 Cells/immunology , ADP-ribosyl Cyclase 1/immunology , ADP-ribosyl Cyclase 1/metabolism , Aged , CD4-Positive T-Lymphocytes/metabolism , CD8-Positive T-Lymphocytes/metabolism , COVID-19/virology , Cell Differentiation/immunology , Female , HLA-DR Antigens/immunology , HLA-DR Antigens/metabolism , Humans , Lymphocyte Activation/immunology , Male , Middle Aged , Prospective Studies , SARS-CoV-2/physiology , T-Lymphocytes, Helper-Inducer/metabolism , Th1 Cells/metabolism , Th17 Cells/immunology , Th17 Cells/metabolism
4.
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 161-173, 2020.
Article in Chinese | WPRIM (Western Pacific), WPRIM (Western Pacific) | ID: covidwho-863531

ABSTRACT

@#An outbreak of new infectious disease caused by novel coronavirus (COVID- 19)started in China last year,which mainly leads to pulmonary injuries. The medical workers of the First Affiliated Hospital of Sun Yat-sen University quickly responded to the calls and three medical teams had been dispatched to epidemic area to join the fight against the novel coronavirus. The team creatively established the advanced life support units in general wards in order to rescue the critically ill patients. Hundreds of severe cases had been diagnosed and treated by our medical teams. To standardize the diagnosis and treatment of this new infectious disease ,especially the severe cases,guidelines for the diagnosis and management of COVID-19 is compiled by the First Affiliated Hospital of Sun Yat-sen University.

5.
Diabetes Metab Res Rev ; 37(2): e3377, 2021 02.
Article in English | MEDLINE | ID: covidwho-615189

ABSTRACT

The outbreak of the coronavirus disease 2019 (Covid-19) has become an evolving worldwide health crisis. With the rising prevalence of obesity and diabetes has come an increasing awareness of their impacts on infectious diseases, including increased risk for various infections, post-infection complications and mortality from critical infections. Although epidemiological and clinical characteristics of Covid-19 have been constantly reported, no article has systematically illustrated the role of obesity and diabetes in Covid-19, or how Covid-19 affects obesity and diabetes, or special treatment in these at-risk populations. Here, we present a synthesis of the recent advances in our understanding of the relationships between obesity, diabetes and Covid-19 along with the underlying mechanisms, and provide special treatment guidance for these at-risk populations.


Subject(s)
COVID-19/epidemiology , COVID-19/pathology , Diabetes Mellitus/epidemiology , Obesity/epidemiology , COVID-19/diagnosis , COVID-19/therapy , Comorbidity , Critical Illness/epidemiology , Critical Illness/therapy , Diabetes Complications/diagnosis , Diabetes Complications/epidemiology , Diabetes Complications/pathology , Diabetes Complications/therapy , Diabetes Mellitus/diagnosis , Diabetes Mellitus/therapy , Humans , Obesity/complications , Obesity/diagnosis , Obesity/therapy , Pandemics , Prevalence , Prognosis , Risk Factors , SARS-CoV-2/physiology , Severity of Illness Index
SELECTION OF CITATIONS
SEARCH DETAIL