This case study details the prolonged SARS-CoV-2 viremia in a 66-year-old immunocompromised female patient with a history of granulomatosis with polyangiitis (GPA). The patient was treated with rituximab and low-dose prednisolone, which contributed to her immunocompromised state. Initially, she presented with mild symptoms of SARS-CoV-2 infection in July 2023, but her condition deteriorated over several months, leading to persistent fever, cough, and malaise.
During her treatment, the patient underwent extensive microbiological and immunological testing. Initially, her symptoms were attributed to a flare of GPA, and she was treated accordingly without improvement. Multiple tests for various microbiological organisms were conducted, but her symptoms persisted. It was not until October 2023 that the possibility of prolonged SARS-CoV-2 infection was reconsidered, leading to PCR testing of her blood, which confirmed the presence of SARS-CoV-2 viremia.
Following the diagnosis of prolonged SARS-CoV-2 viremia, the patient received a prolonged course of antiviral therapy. This treatment resulted in complete clinical, virological, and radiological resolution of her symptoms. The case underscores the importance of considering prolonged SARS-CoV-2 infection in immunocompromised patients presenting with constitutional symptoms.
This case emphasizes the need for heightened awareness of prolonged SARS-CoV-2 infection in immunocompromised patients, as well as the importance of timely and accurate diagnostic testing.
import pandas as pd import plotly.express as px data = { 'Date': ['July 5, 2023', 'August 3, 2023', 'September 20, 2023', 'September 25, 2023', 'October 16, 2023'], 'C-reactive Protein (mg/L)': [None, 11, 45, None, None], 'WBC (x10^9/L)': [None, 4.3, 7.2, None, None], 'SARS-CoV-2 Status': [1, 0, 0, 1, 1] } # Create DataFrame df = pd.DataFrame(data) # Plotting fig = px.bar(df, x='Date', y=['C-reactive Protein (mg/L)', 'WBC (x10^9/L)'], title='Clinical Data Over Time') fig.show()