Clinical characteristics of COVID-19 patients combined with allergy.
Ontology highlight
ABSTRACT:
SUBMITTER: Shi W
PROVIDER: S-EPMC7300645 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
Publications
Clinical characteristics of COVID-19 patients combined with allergy.
Shi Wendan W Gao Ziang Z Ding Yongjun Y Zhu Ting T Zhang Wei W Xu Yu Y
Allergy 20200624 9
Similar Datasets
Project description:Patients with both diabetes and coronavirus disease 2019 (COVID-19) are more likely to experience negative outcomes. This study aimed to identify the risk factors associated with these adverse outcomes that can assist clinicians in implementing suitable treatment strategies to minimize the occurrence of severe complications. A total of 92 patients with diabetes and COVID-19 in the Endocrine Department of Zhejiang Provincial Hospital of Chinese Medicine from December 2022 to February 2023 were enrolled and divided into the recovered group and the transfer to the intensive care unit (ICU) or death group. The clinical characteristics and infection indicators were compared between the 2 groups. Additionally, the patients were further divided into the normal group and the reduction group based on their glomerular filtration rate (GFR), and their clinical characteristics and infection indicators were also analyzed. Compared with the GFR normal group, the GFR reduction group exhibited worse outcomes, higher COVID-19 severity, a higher proportion of mechanical ventilation, and a longer hospital stay. However, there were no significant differences in leukocyte, lymphocyte, and neutrophil counts between these 2 groups. Compared with the recovered group, the transfer to ICU or death group demonstrated an increase in leukocytes and neutrophils, while lymphocytes decreased (P < .05). The C-reactive protein, procalcitonin, interleukin-6, and serum amyloid A levels in the transfer to ICU or death group were significantly higher than those in the Recovered group (P < .05). In addition, C-reactive protein, procalcitonin, and serum amyloid A levels in the GFR reduction group were significantly higher than those in the normal group (P < .05), while interleukin-6 levels were only slightly higher (P > .05). In clinical treatment, it is necessary to monitor infection indicators and GFR closely and intervene in time to reduce the occurrence of adverse events.
| S-EPMC11557074 | biostudies-literature
Project description:The prevention of COVID-19 pandemic is highly complicated by the prevalence of asymptomatic and recurrent infection. Many previous immunological studies have focused on symptomatic and convalescent patients, while the immune responses in asymptomatic patients and re-detectable positive cases remain unclear. Here we comprehensively analyzed the peripheral T-cell receptor (TCR) repertoire of 54 COVID-19 patients in different courses, including asymptomatic, symptomatic, convalescent and re-detectable positive cases. We identified a set of V-J gene combinations characterizing the upward immune responses through asymptomatic and symptomatic courses. Furthermore, some of these V-J combinations could be awakened in the re-detectable positive cases, which may help predict the risk of recurrent infection. Therefore, TCR repertoire examination has the potential to strengthen the clinical surveillance and the immunotherapy development for COVID-19.
2025-10-19 | GSE186120 | GEO
Project description:We profiled scRNA-seq of 284 samples collected from 196 individuals, including 22 patients with mild/moderate symptoms, 54 hospitalized patients with severe symptoms, and 95 recovered convalescent persons, as well as 25 healthy controls. The samples were obtained from various tissue types, including human peripheral blood mononuclear cells (249), bronchoalveolar lavage fluid (12) and pleural pleural effusion (1)/sputum (22).
2021-02-04 | GSE158055 | GEO
Project description:Here we report single-cell RNA-sequencing generated from one COVID-19 lung removed at the time of organ transplant.
2020-12-29 | GSE163919 | GEO
Project description: Not available
| S-EPMC9509181 | biostudies-literature
Project description:[This corrects the article DOI: 10.1155/2020/1652403.].
| S-EPMC8275428 | biostudies-literature
Project description:This study aims to observe the clinical characteristics of recovered patients from Coronavirus Disease 2019 (COVID-19) with positive in reverse transcription-polymerase chain reaction (RT-PCR) or serum antibody. The profile, clinical symptoms, laboratory outcomes, and radiologic assessments were extracted on 11 patients, who tested positive for COVID-19 with RT-PCR or serum antibody after discharged and was admitted to Hubei No. 3 People's Hospital of Jianghan University for a second treatment in March 2020. The average interval time between the first discharge and the second admission measured 16.00 ± 7.14 days, ranging from 6 to 27 days. In the second hospitalization, one patient was positive for RT-PCR and serum antibody immunoglobulin M (IgM)-immunoglobulin G (IgG), five patients were positive for both IgM and IgG but negative for RT-PCR. Three patients were positive for both RT-PCR and IgG but negative for IgM. The main symptoms were cough (54.55%), fever (27.27%), and feeble (27.27%) in the second hospitalization. Compared with the first hospitalization, there were significant decreases in gastrointestinal symptoms (5 vs 0, P = .035), elevated levels of both white blood cell count (P = .036) and lymphocyte count (P = .002), remarkedly decreases in C-reactive protein and serum amyloid A (P < .05) in the second hospitalization. Additionally, six patients' chest computed tomography (CT) exhibited notable improvements in acute exudative lesions. There could be positive results for RT-PCR analysis or serum IgM-IgG in discharged patients, even with mild clinical symptoms, however, their laboratory outcomes and chest CT images would not indicate the on-going development in those patients.
| S-EPMC7272928 | biostudies-literature
Project description: Not available
| S-EPMC7195341 | biostudies-literature
Project description:Background and aimsWe aimed to examine the clinical characteristics and outcomes of coronavirus disease 2019 (COVID-19) patients with prediabetes.MethodsThis was a retrospective cohort study of 102 COVID-19 patients admitted to a tertiary care hospital in India between May and October 2020.ResultsMost patients had a poor clinical profile on admission. They had high rates of invasive mechanical ventilation (48%), intensive care unit admission (48%), complications (72.6%), and mortality (32.4%).ConclusionPeople with prediabetes are at high risk for poor outcomes from COVID-19.
| S-EPMC8239313 | biostudies-literature
Project description:IntroductionTo retrospectively analyze epidemiological, clinical and hematological characteristics of COVID-19 patients.MethodsThe demographic, symptoms, and physiological parameters of 88 patients were collected and analyzed. The performance of complete blood count (CBC) indexes for monitoring and predicting the severity of COVID-19 in patients was evaluated by analyzing and comparing CBC results among different COVID-19 patient groups.ResultsWhite blood cells (WBCs), the neutrophil percentage (Neu%), absolute neutrophil count (Neu#), and neutrophil-to-lymphocyte ratio (NLR) were significantly higher in the critical group than in the other three groups (P < .05), while the lymphocyte percentage (Lym%), monocyte percentage (Mon%), lymphocyte count (Lym#), and lymphocyte-to-monocyte ratio (LMR) were significantly lower in the critical group than in the other three groups (P < .05). WBCs, the Neu%, Neu#, NLR, and neutrophil-to-monocyte ratio (NMR) were significantly higher in the severe group than in the mild and moderate groups (P < .05), while the Lym% was significantly lower in the severe group than in the mild and moderate groups (P < .05). The Mon%, Lym#, and LMR were significantly lower in the severe group than in the moderate group (P < .05). Using receiver operating characteristic (ROC) curve analysis to differentiate severe and nonsevere patients, the areas under the curve (AUCs) for the NLR, Neu%, and Lym% were 0.733, 0.732, and 0.730, respectively. When differentiating critical patients from noncritical patients, the AUCs for the NLR, Neu%, and Lym% were 0.832, 0.831, and 0.831.ConclusionsThe NLR is valuable for differentiating and predicting patients who will become critical within 4 weeks after the onset of COVID-19.
| S-EPMC7405137 | biostudies-literature