ABSTRACT
Introduction: Following the lifting of generalised restrictions and universal masking, severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2)- infected patients, especially the clinically extremely vulnerable (CEV) haematology patients, are at an increased risk for other respiratory viral coinfections;therefore, physicians need to be cognizant about excluding other treatable respiratory pathogens. Here, we report coinfection with SARS-CoV- 2 and other respiratory pathogens in patients with haematological cancers presenting to a large tertiary care hospital. Method(s): From July 2022-December 2022, patients with haematological disorders were screened for SARS-CoV- 2 and other 10 common respiratory pathogens by PCR. We performed a retrospective analysis of patients with concurrent respiratory viruses and will prospectively evaluate the same from Jan 2023 to March 2023. Result(s): During this period a total of 322 inpatients had routine screening and additional 6213 swabs were done in the outpatient/ambulatory setting, of which 294 were positive in 221 patients. We excluded all patients who had a single positive PCR swab result and specifically analysed only patients with coinfections. We identified 30 patients (14%) who had respiratory coinfections with 73 viral infections/reactivations over 6 months period, which represented 25% of all positive swabs: 25 inpatients (19 symptomatic/6 asymptomatic) and 48 in outpatients (32 symptomatic/16 asymptomatic). The median age of the cohort was 47.3 years (21-77). Patients were post allograft (n = 15), autograft (n = 7), post CART (n = 5) and postchemotherapy (n = 4). Of the 30 cases, 13 patients had concurrent infections: 5 SARS-CoV2, 10 Respiratory syncytial virus (RSV), 7 Rhino and 4 Influenza A, with all patients having dual viral infection. The remaining 17 patients had multiple viral infections but separated by a median of 54 days (range 27-137 days): 16 SARS-CoV2, 5 RSV, 6 Rhino, 2 Parainfluenza, 2 Adeno and one each of Influenza A, Influenza B, and metapneumovirus. Of the treatable infections (n = 46), 22% were detected on routine asymptomatic swabbing, with 50% of SARS-CoV2 detected on routine swabs. All 8 patients with Influenza were treated with oseltamivir, of 16 RSV cases one was treated with oral ribavirin and of the 22 SARS-CoV2 patients, 5 were treated (4 Paxlovid and 1 Remdesivir). No patients needed intensive care support and no deaths were reported. Conclusion(s): The burden of respiratory coinfections in CEV cohort has a significant impact on respiratory isolation and management, including appropriate & timely initiation of therapy for treatable viral infections. Although mortality was not increased secondary to respiratory coinfections and none needed intensive care, larger prospective cohorts are needed to assess the exact impact.
ABSTRACT
BACKGROUND: The sudden increase in COVID-19 admissions in hospitals during the SARS-CoV-2 pandemic of 2020 led to onward transmissions among vulnerable inpatients. AIMS: This study was performed to evaluate the prevalence and clinical outcomes of healthcare-associated COVID-19 infections (HA-COVID-19) during the 2020 epidemic and study factors which may promote or correlate with its incidence and transmission in a Teaching Hospital NHS Trust in London, UK. METHODS: Electronic laboratory, patient and staff self-reported sickness records were interrogated from 1st March to 18th April 2020. HA-COVID-19 was defined as COVID-19 with symptom onset within >14 days of admission. Test performance of a single combined throat and nose swab (CTNS) for patient placement was calculated. The effect of delayed RNA positivity (DRP, defined as >48 h delay), staff self-reported COVID-19 sickness absence, hospital bed occupancy, and community incidence of COVID-19 was compared for HA-COVID-19. The incidence of other significant hospital-acquired bacterial infections (HAB) was compared with previous years. RESULTS: Fifty-eight HA-COVID-19 (7.1%) cases were identified. When compared with community-acquired admitted cases (CA-COVID-19), significant differences were observed in age (P=0.018), ethnicity (P<0.001) and comorbidity burden (P<0.001) but not in 30-day mortality. CTNS-negative predictive value was 60.3%. DRP was associated with greater mortality (P=0.034) and incidence of HA-COVID-19 correlated positively with DRP (R = 0.7108) and staff sickness absence (R = 0.7815). For the study period HAB rates were similar to the previous 2 years. CONCLUSIONS: Early diagnosis and isolation of COVID-19 patients would help to reduce transmission. A single CTNS has limited value in segregating patients into positive and negative pathways.