| Literature DB >> 35659786 |
Hemn Muhammed Mustafa1, Darya Saeed Abdulateef2, Heshu Sulaiman Rahman3,4.
Abstract
BACKGROUND: During the last 2 years, in the Kurdistan Region, Northern Iraq, there were thousands of COVID-19 cases that have not been reported officially, but diagnosed and confirmed by private laboratories and private hospitals, or clinicians based on typical clinical signs, as well as few people using home self-test after appearing of some flu-like clinical symptoms. Thus, this study aims to assess the misdiagnosis and mismanagement of cases before COVID-19 confirmation.Entities:
Keywords: COVID-19; Iraq; Misdiagnosis; Molecular diagnosis; Non-physician healthcare workers
Mesh:
Year: 2022 PMID: 35659786 PMCID: PMC9164388 DOI: 10.1186/s40001-022-00704-0
Source DB: PubMed Journal: Eur J Med Res ISSN: 0949-2321 Impact factor: 4.981
General and clinical characteristics of the studied participants according to types of misdiagnosis before COVID-19 confirmations
| Types of misdiagnosisa | ||||||||
|---|---|---|---|---|---|---|---|---|
| Total | Typhoid | Influenza | Pneumonia | Gastro-enteritis | Common cold | Brucellosis | ||
| Total no. | 100 | 63 | 14 | 9 | 5 | 4 | 4 | |
| Parameters | N (%) mean (SD) | N (%) mean (SD) | N (%) mean (SD) | N (%) mean (SD) | N (%) mean (SD) | N (%) mean (SD) | N (%) mean (SD) | |
| Ageb | 42.34 (15.56) | 41.21 (15.5) | 44.36 (14.04) | 52.56 (11.61) | 38.4 (14.69) | 43.25 (18.75) | 29.25 (20.65) | 0.159 |
| Sex | ||||||||
| Male | 60 (60) | 37 (58.7) | 7 (50) | 7 (77.8) | 2 (40) | 2 (50) | 4 (100) | 0.407 |
| Female | 40 (40) | 26 (41.3) | 7 (50) | 2 (22.2) | 3 (60) | 2 (50) | 0 (0.0) | |
| Investigation based on | ||||||||
| Typhoid IgM and IgG rapid test | 63 (63) | 63 (100) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | < 0.001 |
| Rose Bengal | 4(4) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 0 (0) | 4 (100) | |
| Chest X-ray | 5 (5) | 0 (0) | 0 (0) | 5 (55.6) | 0 (0) | 0 (0) | 0 (0) | |
| None (clinical presentation) | 28 (28) | 0 (0) | 14 (100) | 4 (44.4) | 5 (100) | 4 (100) | 0 (0) | |
| MisDX made by | ||||||||
| Non-physician healthcare worker | 92 (92) | 63 (100) | 14 (100) | 4 (44.4) | 5 (100) | 4 (100) | 2 (50) | < 0.001 |
| Physician | 8 (8) | 0 (0) | 0 (0) | 5 (55.6) | 0 (0) | 0 (0) | 2 (50) | |
| Duration of the mistreatment (days) | 5.44 (1.733) | 5.63 (1.47) | 4.21 (1.12) | 6 (2.55) | 4.4 (1.67) | 5.75 (1.5) | 7.25 (2.5) | 0.002 |
| Hospitalized | 28 (28) | 15 (23.8) | 4 (28.6) | 2 (22.2) | 2 (40) | 3 (75) | 1 (25) | 0.236 |
| Dieda | 4 (4) | 1 (1.6) | 2 (14.3) | 1 (11.1) | 0 (0) | 0 (0) | 0 (0) | 0.361 |
aOne patient was diagnosed with meningitis by a physician, its data is not shown in this table
bDescriptive parameters were shown as mean (SD). All other parameters were categorical variable shown as numbers (percentages)
Fig. 1Percentages of the main presenting symptoms in confirmed COVID-19 infected patients
The most frequent medication (mistreatment) used to treat the patients based on the misdiagnosis
| False diagnosis | Typhoid | Influenza | Pneumonia | Gastro-enteritis | Common cold | Brucellosis |
|---|---|---|---|---|---|---|
| Number | 63 | 14 | 9 | 5 | 4 | 4 |
| Most frequent medication | Ceftriaxone vial | Dexamethasone combined with diclofenac sodium | Levofloxacin Tab | Metronidazole | Amoxiclav | Rifampicin with doxycycline |
| No. (%) | 41 (65%) | 9 (64.3) | 3 (33.3%) | 5 (100%) | 3 (75%) | 4 (100%) |
Fig. 2Mean age compared between hospitalized and non-hospitalized patients, in the a total confirmed COVID-19 infected patients with previous misdiagnosis and, b COVID-19 infected patients with false typhoid fever diagnosis
Fig. 3Mean age compared between dead and live patients, in the misdiagnosed COVID-19 confirmed patients