Post Covid telogen effluvium: the diagnostic value of serum ferritin biomarker and the preventive value of dietary supplements. a case control study.
Study Design
- Type d'étude
- Case-control
- Taille de l'échantillon
- 100
- Intervention
- Post Covid telogen effluvium: the diagnostic value of serum ferritin biomarker and the preventive value of dietary supplements. a case control study. None
- Comparateur
- Placebo
- Direction de l'effet
- Mixed
- Risque de biais
- Moderate
Abstract
Telogen effluvium is characterized by excessive hair shedding usually following a stressful event. Ferritin has been used in clinical practice as a biomarker of nonanemic iron deficiency in cases of telogen effluvium. During the years of the COVID19 pandemic, telogen effluvium was reported as a part of post covid manifestations. As ferritin was also a biomarker for inflammation in cases with covid infection, this study was designed to evaluate the value of ferritin in cases with postcovid telogen effluvium one hundred patients recovering from covid 19 for 4-12 weeks were included in the study, detailed drug and laboratory history was obtained and serum ferritin level was measured. the mean serum level of ferritin among telogen effluvium patients was significantly lower than controls (68.52 ± 126 and 137 ± 137.597 ug/L respectively). Patients with telogen effluvium used significantly more azithromycin and ivermectin and significantly less vitamin C, D, lactoferrin and zinc than the controls Although serum ferritin is lower among telogen effluvium patients, it was still higher than the cutoff value for diagnosing nonanemic iron deficiency, we suggest that it will not be a good biomarkers in these cases. Our secondary outcomes showed that dietary supplements used during active infection such as vitamin C, D, lactoferrin and zinc might have a preventive value on postcovid hair loss, while azithromycin and ivermectin could have a negative long term effect on telogen effluvium.
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Figures
Tables
Table 1
| Group | X2 | ||||
|---|---|---|---|---|---|
| Hair fall | Control | ||||
| Gender | Female | 48 (96%) | 31 (62%) | 17.42 | < 0.0001 |
| Male | 2 (4%) | 19 (38%) | |||
| Age | Mean ± SD | 27.64 ± 6.04 | 33.84 ± 8.68 | 4.14 | < 0.0001 |
| Median | 27 | 32 | |||
| Min- Max | 18–45 | 18–55 | |||
| Duration since diagnosis (Weeks) | Mean ± SD | 13.10 ± 5.76 | 12.92 ± 6.15 | 0.151 | 0.880 |
| Median | 12 | 13 | |||
| Range | 4–28 | 4–24 | |||
Table 2
| Group | ||||
|---|---|---|---|---|
| Hair fall | Control | |||
| Azithromycin | No | 13 (26%) | 35 (70%) | < 0.0001 |
| Yes | 37 (74%) | 15 (30%) | ||
| Ivermectin | No | 24 (48%) | 38 (76%) | 0.004 |
| Yes | 26 (52%) | 12 (24%) | ||
| Paracetamol | 50 (100%) | 50 (100%) | - | |
| Vit-C | No | 36 (72%) | 15 (30%) | < 0.0001 |
| Yes | 14 (28.0%) | 35 (70%) | ||
| Vit-D | No | 48 (96%) | 36 (72%) | 0.001 |
| Yes | 2 (4%) | 14 (28%) | ||
| Zinc | No | 33 (66%) | 8 (16%) | < 0.0001 |
| Yes | 17 (34%) | 42 (84%) | ||
| Lactoferrin | No | 44 (88.0%) | 21 (42%) | < 0.0001 |
| Yes | 6 (12%) | 29 (58%) | ||
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