Clinical Characteristics Profile of COVID-19 Patients with Omicron Variant Admitted in a Tertiary Hospital, Central China

Miao, Yi; Ren, Yi; Ren, Tongwei

doi:10.2147/ijgm.s409478

Cited by 3 publications

(2 citation statements)

References 21 publications

(28 reference statements)

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“…In our training set, the main symptoms were cough (113, 71.52%), fever (110, 69.62%), chest tightness (81, 51.27%), and pharyngalgia (17, 10.76%), which was similar to the study population in Miao et al [ 22 ]. The CURB-65 and PSI scores in the 90-day death group were higher than in the survivor group ( p < 0.001).…”

Section: Discussionsupporting

confidence: 70%

Clinical features that predict the mortality risk in older patients with Omicron pneumonia: the MLWAP score

Pei,

Li,

Chen

et al. 2023

Intern Emerg Med

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In December 2022, the Chinese suffered widespread Omicron of SARS-CoV-2 with variable symptom severity and outcome. We wanted to develop a scoring model to predict the mortality risk of older Omicron pneumonia patients by analyzing admission data. We enrolled 227 Omicron pneumonia patients aged 60 years and older, admitted to our hospital from December 15, 2022, to January 16, 2023, and divided them randomly into a 70% training set and a 30% test set. The former were used to identify predictors and develop a model, the latter to verify the model, using the area under the receiver operating characteristic curve (AUC), the Hosmer–Lemeshow goodness-of-fit test, a calibration curve to test its performance and comparing it to the existing scores. The MLWAP score was calculated based on a multivariate logistic regression model to predict mortality with a weighted score that included immunosuppression, lactate ≥ 2.4, white blood cell count ≥ 6.70 × 109/L, age ≥ 77 years, and PaO2/FiO2 ≤ 211. The AUC for the model in the training and test sets was 0.852 (95% CI, 0.792–0.912) and 0.875 (95% CI, 0.789–0.961), respectively. The calibration curves showed a good fit. We grouped the risk scores into low (score 0–7 points), medium (8–10 points), and high (11–13 points). This model had a sensitivity of 0.849, specificity of 0.714, and better predictive ability than the CURB-65 and PSI scores (AUROC = 0.859 vs. 0.788 vs. 0.801, respectively). The MLWAP-mortality score may help clinicians to stratify hospitalized older Omicron pneumonia patients into relevant risk categories, rationally allocate medical resources, and reduce the mortality.

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Section: Discussionsupporting

confidence: 70%

Clinical features that predict the mortality risk in older patients with Omicron pneumonia: the MLWAP score

Pei,

Li,

Chen

et al. 2023

Intern Emerg Med

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“…Our findings are consistent with those of other studies that have reported a higher prevalence of the Omicron SARS-CoV-2 among females compared to males in Malawi, the United States of America and Zambia [ 34 , 46 , 47 ]. However, other studies have reported contrasting results, with more males being infected with the Omicron SARS-CoV-2 compared to females [ 48 ] with consistently more severe disease in males than in females [ 49 , 50 ]. These differences could be explained by the differences in transmission dynamics between the different settings, although our relatively limited sample size could also have influenced our findings.…”

Section: Discussionmentioning

confidence: 99%

Detection and Characterisation of SARS-CoV-2 in Eastern Province of Zambia: A Retrospective Genomic Surveillance Study

Shempela,

Chambaro,

Sikalima

et al. 2024

IJMS

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Mutations have driven the evolution and development of new variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with potential implications for increased transmissibility, disease severity and vaccine escape among others. Genome sequencing is a technique that allows scientists to read the genetic code of an organism and has become a powerful tool for studying emerging infectious diseases. Here, we conducted a cross-sectional study in selected districts of the Eastern Province of Zambia, from November 2021 to February 2022. We analyzed SARS-CoV-2 samples (n = 76) using high-throughput sequencing. A total of 4097 mutations were identified in 69 SARS-CoV-2 genomes with 47% (1925/4097) of the mutations occurring in the spike protein. We identified 83 unique amino acid mutations in the spike protein of the seven Omicron sublineages (BA.1, BA.1.1, BA.1.14, BA.1.18, BA.1.21, BA.2, BA.2.23 and XT). Of these, 43.4% (36/83) were present in the receptor binding domain, while 14.5% (12/83) were in the receptor binding motif. While we identified a potential recombinant XT strain, the highly transmissible BA.2 sublineage was more predominant (40.8%). We observed the substitution of other variants with the Omicron strain in the Eastern Province. This work shows the importance of pandemic preparedness and the need to monitor disease in the general population.

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Investigation of SARS-CoV-2 IgG Binding Capability to Variants of the SARS-CoV-2 Virus

Johnson,

De Gascun,

Hassan

2024

Viral Immunology

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Clinical Characteristics Profile of COVID-19 Patients with Omicron Variant Admitted in a Tertiary Hospital, Central China

Cited by 3 publications

References 21 publications

Clinical features that predict the mortality risk in older patients with Omicron pneumonia: the MLWAP score

Clinical features that predict the mortality risk in older patients with Omicron pneumonia: the MLWAP score

Detection and Characterisation of SARS-CoV-2 in Eastern Province of Zambia: A Retrospective Genomic Surveillance Study

Investigation of SARS-CoV-2 IgG Binding Capability to Variants of the SARS-CoV-2 Virus

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