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Letters to the Editor
Real-time national survey of COVID-19 in hemoglobinopathy and rare inherited anemia patients
Faced with the rapidly evolving COVID-19 pandemic, in March 2020 the UK Government advocated strict self-iso- lation (‘shielding’) to protect extremely vulnerable patient groups deemed at high risk of severe SARS-CoV-2 infec- tion.1 These included children and adults with sickle cell anemia (HbSS). On the advice of the National Hemoglobinopathy Panel (NHP), a multidisciplinary expert advisory group, shielding guidance was extended to all sickle cell disease (SCD) sub-types. Patients with trans- fusion dependent (TDT) and non-transfusion dependent thalassemia (NTDT), Diamond-Blackfan anemia (DBA) and other rare inherited anemias were also advised to shield if considered at high risk based on agreed clinical cri- teria. These included severe iron overload, splenectomy, diabetes and cardiac disease.2 Data provided by two partic- ipating centers with the largest thalassemia cohorts indi- cate up to 30% of patients meet these criteria.
In order to evaluate the impact of these measures and inform guidance on the clinical management of COVID-19 and public health policy, a real-time survey of confirmed and suspected cases of COVID-19 in hemoglobinopathy and rare inherited anemia patients was initiated on behalf of the NHP and National Health Service (NHS) England Clinical Reference Group for Hemoglobinopathies.
Data were submitted weekly by the 14 Hemoglobinopathy Coordinating Centers (HCC) in England, providing national coverage. HCC were encou- raged to follow World Health Organization (WHO) case definitions which include both confirmed and clinically suspected COVID-19.3 Anonymised data were collected using a standardised report template (see the Online Supplementary Data) and presented weekly to the NHP. Between April 8 and May 6, 2020, a total of 195 confirmed or suspected COVID-19 cases (male: 87; female: 108) were reported. The timeline of case accrual is shown in Figure 1A. The median age was 33 years (range: 6 weeks to 92 years). The distribution according to age and sex is shown in Figure 1B. PCR for SARS-CoV-2 RNA was positive in 99 of 157 (63%) cases tested (Figure 2A). Laboratory confir- mation was not available for 34 (17.4%) cases, 31 of which were managed in the community for suspected COVID-19 before widespread testing became available.
SCD accounted for 166 (85.1%) of cases reported, with 129 (77.7%) severe (HbSS or HbSβ0-thalassemia) and 37 (22.3%) mild (HbSC, HbSβ+-thalassemia or HbSE) geno- types (Figures 2A-B). There were 149 adults and 17 chil- dren (defined as ≤18 years). Ninety-five (57%) were female. One hundred and twenty-eight (77.1%) SCD patients were admitted to hospital of whom 15 (11.7%), all adults, required non-invasive and/or mechanical venti- lation (Figure 2B). The proportion of patients who required critical care was higher in mild genotypes, 8 of 29 (27.6%), than severe genotypes, 7 of 99 (7.1%) (Figure 2B). Sixty of 154 (39%) patients for whom data were available received transfusion (red cell exchange 46 [29%]; simple [top-up] transfusion 15 [10%]) during the COVID-19 episode. The proportion of transfused patients was similar for children and adults. Outcome was analyzed for cases with a com- pleted COVID-19 course (n=142), excluding those with a continuing inpatient stay or missing data. Of patients with a completed course, 131 (92.2%) have recovered and 11 (8.4%) died. The median age of patients who died was higher (51 years, range: 19-68 years) than those who
Table 1. Association of patient variables with survival status in sickle cell disease patients with laboratory confirmed COVID-19 admitted to hospital and outcome according to RT-PCR status
Alive
Patient sex
Female 44 (92%) Male 25 (86%)
Patient age (years)
<10 1 (100%) 10-19.9 8 (89%) 20-29.9 24 (92%) 30-39.9 14 (93%) 40-49.9 5 (100%) 50-59.9 13 (93%) >59.9 4 (57%)
Disease severity
Mild 19 (86%) Severe 50 (91%)
PCR status
Negative 47 (98%)
Positive 69 (90%)
Dead P 4 (8%) 0.94
4 (14%)
0 (0%) 1 (11%)
2 (8%) 0.14 1 (7%)
0 (0%)
1 (0%)
3 (43%)
3 (14%) 0.55 5 (9%)
recovered (31 years, range: 6 weeks to 72 years, P=0.0042). No deaths occurred in children. Among adult patients admitted to hospital mortality was 9.2 % (10 of 109). One patient died outside hospital, in a community residential care facility. In six patients who died, comorbid conditions (stroke: 1, cardiopulmonary disease: 2; cancer: 1; chronic kidney disease (stage G5): 1; hypertension: 1) associated with increased risk of death in COVID-19 were present. Seven of 10 patients who required mechanical ventilation died. As of May 6, 2020, 19 patients were receiving inpatient treatment, including non-invasive ven- tilation in one case. Data were missing for five patients managed outside hospital.
The association of patient variables with survival status was analyzed in SCD patients (n=77) with a laboratory confirmed COVID-19 diagnosis who were admitted to hospital (Table 1). The overall mortality in the group was 10.4%. In contrast to the association of older age and male sex with risk of COVID-19 related death in other popula- tions, no significant correlation was found with age, sex or SCD genotype. Mortality was higher in females and mild genotypes though the differences did not reach signifi- cance.
As of May 6, 2020, 206,715 cases of COVID-19 with 30,615 (14.8%) deaths had been reported in the UK. At first sight this suggests SCD patients are not more vulne- rable to COVID-19. The age demographic profile of COVID-19 however differs markedly in the SCD and gen- eral population. In the ISARIC study4 of 20,133 cases of confirmed COVID-19 admitted to hospitals in the UK between February 6 and April 19, 2020, the median age was 73 years compared with a median age of 31 years in our cohort. We therefore compared the age adjusted risk of COVID-19 related death in SCD with that of the general population combining contemporaneous data from our survey, the National Hemoglobinopathy Registry (NHR)5 and OpenSAFELY study.6 The latter (data cut May 6) quan- tified risk factors for COVID-19 related death in England by linking primary care electronic health records of 17 mil- lion patients with data from the COVID-19 National
1 (2%)
8 (10%)
0.081
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