| Literature DB >> 35323173 |
Abstract
BACKGROUND: People living with transfusion dependent thalassemia have a high risk of becoming infected with COVID-19. This can be caused by both internal factors, namely the formation of alloantibodies and autoimmune disorder, and external factors such as routine visits for blood transfusions. Chronic complications of thalassemia also render them more vulnerable to infectious diseases, including COVID-19. However, anecdotal data shows that thalassemia patients experience less incidence of COVID-19 compared to the general population.Entities:
Keywords: COVID-19; HbE; beta-thalassemia; blood transfusion; transfusion-dependent thalassemia
Year: 2022 PMID: 35323173 PMCID: PMC8953260 DOI: 10.3390/hematolrep14010002
Source DB: PubMed Journal: Hematol Rep ISSN: 2038-8322
Characteristics Thalassemia patients infected by COVID-19 in Indonesia.
| General Characteristic | |
|---|---|
| Gender, | |
| Male | 29 (43.3) |
| Female | 37 (56.7) |
| Age, | |
| 3.0–18.0 | 30 (44.8) |
| 19.0–40.0 | 26 (38.8) |
| 41.0–60.0 | 10 (16.4) |
| Blood Type, | |
| A (+) | 20 (29.9) |
| AB (+) | 10 (14.9) |
| B (+) | 14 (20.9) |
| O (+) | 23 (34.3) |
| Ethnicity, | |
| Bataknese | 1 (1.4) |
| Bengkulu | 1 (1.4) |
| Betawi | 14 (20.8) |
| Buginese | 1 (1.4) |
| Chinese | 2 (2.9) |
| Javanese | 24 (35.8) |
| Lampung | 1 (1.4) |
| Medan | 2 (2.9) |
| Malay | 2 (2.9) |
| Minang | 1 (1.4) |
| Sundanese | 18 (26.8) |
| Thalassemia Type, | |
| Alfa 3 deletion | 2 (3.0) |
| Beta Intermedia | 1 (1.5) |
| Beta HbE TDT | 19 (28.4) |
| Beta Mayor | 44 (65.7) |
| Beta minor | 1 (1.5) |
| COVID-19 clinical severity, | |
| Asymptomatic | 31 (46.3) |
| Mild | 32 (47.8) |
| Moderate | 4 (6.0) |
| Severe | 0 (0.0) |
| Outcome, | |
| Deceased | 2 (2.9) |
| Recovered | 65 (97.1) |
| Vaccination Status Prior to COVID-19 infection, | |
| Already | 3 (4.2) |
| Not Done | 66 (91.7) |
Relationship between patient’s characteristics and COVID-19 status.
| Patient’s Characteristics | COVID-19 Status | ||
|---|---|---|---|
| Survive | Deceased | ||
| Gender, | |||
| Male | 29 | 0 | 0.318 |
| Female | 36 | 2 | |
| Age Group, | |||
| 3–18 | 30 | 0 | 0.300 |
| 19–40 | 25 | 1 | |
| 41–60 | 10 | 1 | |
| Blood Type, | |||
| A (+) | 19 | 1 | 0.374 |
| AB (+) | 14 | 0 | |
| B (+) | 9 | 1 | |
| O (+) | 23 | 0 | |
| Thalassemia Type, | |||
| Alfa 3 deletion | 2 | 0 | 0.898 |
| Beta Intermedia | 1 | 0 | |
| Beta HbE TDT | 19 | 0 | |
| Beta Mayor | 42 | 2 | |
| Beta minor | 1 | 0 | |
| COVID-19 Clinical Severity | |||
| Asymptomatic | 30 | 1 | 0.021 |
| Mild | 32 | 0 | |
| Moderate | 3 | 1 | |
| Severe | 0 | 0 | |
| Vaccination Status Prior to COVID-19 Infection | |||
| Already | 3 | 0 | 0.912 |
| Not Done | 62 | 2 | |
Figure 1COVID-19 incidence in general population compared to COVID-19 incidence in thalassemia patients.
Recapitulation of thalassemia in each province and COVID-19 TDT patients [2,4].
| No | Province | Total Population | Total TDT Patient | Prevalence of TDT/Population | Total COVID Cases in General Population | TDT Patients with COVID-19 | TDT Patients with | Mortality in TDT Patients with COVID-19 |
|---|---|---|---|---|---|---|---|---|
| 1 | ACEH | 5,274,871 | 631 | 0.0120% | 20,949 | 0 | 0% | 0 |
| 2 | NORTH SUMATRA | 14,799,361 | 162 | 0.0011% | 46,053 | 3 | 1.9% | 1 |
| 3 | WEST SUMATRA | 5,534,472 | 22 | 0.0004% | 61,350 | 0 | 0% | 0 |
| 4 | RIAU | 6,394,087 | 97 | 0.0015% | 83,628 | 0 | 0% | 0 |
| 5 | JAMBI | 3,548,228 | 54 | 0.0015% | 16,443 | 0 | 0% | 0 |
| 6 | SOUTH SUMATRA | 8,467,432 | 332 | 0.0039% | 37,917 | 0 | 0% | 0 |
| 7 | BENGKULU | 2,010,670 | 100 | 0.0050% | 14,003 | 1 | 1.0% | 0 |
| 8 | LAMPUNG | 9,007,848 | 316 | 0.0035% | 29,078 | 1 | 0.3% | 0 |
| 9 | BANGKA BELITUNG ISLANDS | 1,455,678 | 117 | 0.0080% | 26,778 | 0 | 0% | 0 |
| 10 | RIAU ISLANDS | 2,064,564 | 97 | 0.0047% | 36,581 | 1 | 1.0% | 0 |
| 11 | DKI JAKARTA | 10,562,088 | 864 | 0.0082% | 746,306 | 49 | 5.6% | 1 |
| 12 | WEST JAVA | 48,274,162 | 4164 | 0.0086% | 530,806 | 8 | 0.19% | 0 |
| 13 | CENTRAL JAVA | 36,516,035 | 1449 | 0.0040% | 329,216 | 0 | 0% | 0 |
| 14 | DI YOGYAKARTA | 3,668,719 | 165 | 0.0045% | 92,085 | 0 | 0% | 0 |
| 15 | EAST JAVA | 40,665,696 | 695 | 0.0017% | 239,168 | 2 | 0.3% | 0 |
| 16 | BANTEN | 11,904,562 | 654 | 0.0055% | 92,746 | 0 | 0% | 0 |
| 17 | BALI | 4,317,404 | 23 | 0.0005% | 61,175 | 0 | 0% | 0 |
| 18 | WEST NUSA TENGGARA | 5,320,092 | 26 | 0.0005% | 16,331 | 0 | 0% | 0 |
| 19 | EAST NUSA TENGGARA | 5,325,566 | 0 | 0% | 26,363 | 0 | 0% | 0 |
| 20 | WEST KALIMANTAN | 5,414,390 | 234 | 0.0043% | 21,149 | 1 | 0.4% | 0 |
| 21 | CENTRAL BORNEO | 2,669,969 | 38 | 0.0014% | 30,347 | 0 | 0% | 0 |
| 22 | SOUTH BORNEO | 4,073,584 | 157 | 0.0039% | 40,029 | 0 | 0% | 0 |
| 23 | EAST KALIMANTAN | 3,766,039 | 137 | 0.0036% | 96,564 | 1 | 0.72% | 0 |
| 24 | NORTH KALIMANTAN | 701,814 | 0 | 0% | 16,286 | 0 | 0% | 0 |
| 25 | NORTH SULAWESI | 2,621,923 | 0 | 0% | 19,718 | 0 | 0% | 0 |
| 26 | CENTRAL SULAWESI | 2,985,734 | 0 | 0% | 16,792 | 0 | 0% | 0 |
| 27 | SOUTH SULAWESI | 9,073,509 | 61 | 0.0007% | 72,240 | 0 | 0% | 0 |
| 28 | SOUTHEAST SULAWESI | 2,624,875 | 0 | 0% | 13,817 | 0 | 0% | 0 |
| 29 | GORONTALO | 1,171,681 | 0 | 0% | 6948 | 0 | 0% | 0 |
| 30 | WEST SULAWESI | 1,419,229 | 0 | 0% | 7113 | 0 | 0% | 0 |
| 31 | MALUKU | 1,848,923 | 0 | 0% | 12,127 | 0 | 0% | 0 |
| 32 | NORTH MALUKU | 1,282,937 | 0 | 0% | 8204 | 0 | 0% | 0 |
| 33 | WEST PAPUA | 1,134,068 | 0 | 0% | 15,904 | 0 | 0% | 0 |
| 34 | PAPUA | 4,303,707 | 0 | 0% | 23,826 | 0 | 0% | 0 |
| Total | 270,203,917 | 10,397 | 0.089% | 2,908,040 | 67 | 11.21% | 2 |
Prevalence of COVID 19 and thalassemia in ASEAN countries [5,6].
| No | Country | Total Population | Number of COVID-19 Cases | COVID-19 Cases/1 Million Population ( | Alpha Thalassemia (%) | Beta Thalassemia (%) | HbE Thalassemia (%) | TDT Patient Mortality due to COVID-19 |
|---|---|---|---|---|---|---|---|---|
| 1 | Indonesia | 270,203,917 | 2,908,040 | 10,762 | 0.5% | 3% | 1–25% | 7 |
| 2 | Philippines | 104,900,000 | 1,605,762 | 15,308 | 5.4% | 1.2% | 1% | N/A |
| 3 | Vietnamese | 95,540,000 | 165,339 | 1731 | 0.05% | 1.6–25% | 1–73% | N/A |
| 4 | Thailand | 69,400,000 | 652,185 | 9397 | 5.5–30% | 1–9% | 5–50% | N/A |
| 5 | Myanmar | 53,370,000 | 306,354 | 5740 | 10.5% | 4% | 1–26% | N/A |
| 6 | Malaysia | 31,200,000 | 1,163,291 | 37,285 | 1.8–7.5% | 3–5% | 5–46% | N/A |
| 7 | Cambodia | 16,010,000 | 79,051 | 4938 | 10% | 3% | 31–63% | N/A |
| 8 | Laos | 7,364,903 | 7015 | 952 | 42% | 9% | 24–48% | N/A |
| 9 | Singapore | 5,612,000 | 65,213 | 11,620 | 2.91% | 0.93% | 0.64% | N/A |
| 10 | Timor Leste | 1,339,862 | 10,982 | 8196 | N/A | N/A | N/A | N/A |
| 11 | Brunei | 428,607 | 338 | 789 | 4.3% | 0.02% | 0.01% | N/A |
| Total | 655,369,289 | 6,963,570 | 106,718 |
Notes: N/A, not available.