| Literature DB >> 35283535 |
Shivani Saini1, Akshay K Jain2, Shail Agarwal3, Devendra Yadav2.
Abstract
Background: As generalized pruritus can be a symptom of a systemic disease, iron deficiency may be the underlying internal cause of its symptoms. Because data on the relationship between iron deficiency and generalized chronic pruritus are limited, more research is needed to ensure proper diagnosis and management. Aims: To evaluate the prevalence of iron deficiency in patients with generalized chronic pruritus in the southeast region of Rajasthan and to assess the correlation of serum ferritin with iron deficiency variables. Materials andEntities:
Keywords: Correlation; generalized chronic pruritus; iron deficiency; serum ferritin
Year: 2021 PMID: 35283535 PMCID: PMC8906290 DOI: 10.4103/ijd.ijd_326_21
Source DB: PubMed Journal: Indian J Dermatol ISSN: 0019-5154 Impact factor: 1.494
Demographic data
| Gender wise distribution | |||
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| Gender | Number (%) | ||
| Male | 92 (46) | ||
| Female | 108 (54) | ||
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| 16-25 | 52 (26) | 31 (59.6) | 21 (40.3) |
| 26-35 | 38 (19) | 10 (26.3) | 28 (73.7) |
| 36-45 | 52 (26) | 18 (34.6) | 34 (65.4) |
| 46-55 | 36 (18) | 20 (55.6) | 16 (44.4) |
| 56-65 | 22 | 13 (59.1) | 9 (40.9) |
| Mean±SD | 37.35±13.56 | ||
F=female, M=male, SD=standard deviation
Distribution of cases according to hemoglobin, MCV, MCH, MCHC, serum ferritin, VAS score
| Cases according to hemoglobin values | |||
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| Grading of anemia | Hemoglobin (g/dL) | Female (108) | Male (92) |
| Normal | ≥12/≥13 | 40 (37.03%) | 47 (51%) |
| Mild | 11-11.9/12.9 | 19 (17.59%) | 22 (23.91%) |
| Moderate | 8-10.9 | 40 (37.03%) | 15 (16.30%) |
| Severe | <8 | 9 (8.33%) | 8 (8.7%) |
| Mean±SD | (11.62±2.34) | (11.65±2.35) | |
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| Microcytic | <80 | 78 (39) | |
| Normocytic | 80-100 | 115 (57.5) | |
| Macrocytic | >100 | 7 (3.5) | |
| Mean±SD | 80.50±11.46 | ||
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| <27 | 84 | 42 | |
| 27-31 (normal) | 82 | 41 | |
| >31 | 34 | 17 | |
| Mean±SD | 27.23±4.60 | ||
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| <31 | 68 | 34 | |
| 31-37 (normal) | 132 | 66 | |
| >37 | Nil | Nil | |
| Mean±SD | 31.93±2.56 | ||
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| <15 | 58 | 29 | |
| ≥15 | 142 | 71 | |
| Mean±SD | 41.13±42.35 | ||
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| Mild | 1-3 | 37 (18.5) | |
| Moderate | 4-<7 | 70 (35) | |
| Severe | 7-<9 | 43 (21.5) | |
| Very Severe | >9 | 50 (25) | |
Figure 1Picture showing mucocutaneous signs associated with anemic patients (pallor conjunctiva, bald tongue (a); koilonychia, brittle nail (b))
Figure 2Scatter diagram showing positive correlation between S. ferritin and Hb
Figure 4Scatter diagram showing negative correlation between hemoglobin and VAS
Figure 5Scatter diagram showing negative correlation between s. Ferritin and vas
Summary of study characteristics with statistical analysis values
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| Age and S. Ferritin | 0.391 | |
| Gender and S. Ferritin | <0.0001 | |
| Hemoglobin and S. Ferritin | <0.0001 | |
| MCV and S. Ferritin | <0.0001 | |
| MCH and S. Ferritin | <0.0001 | |
| MCHC and S. Ferritin | <0.0001 | |
| AGE and VAS | 0.135 | |
| Hemoglobin and VAS | <0.00001 | |
| MCV and VAS | <0.00001 | |
| MCH and VAS | <0.00001 | |
| MCHC and VAS | <0.00001 | |
| S. Ferritin and VAS | <0.00001 |
Examples of recommended serum ferritin cut-off to determine iron deficiency
| Organization | Population group | SF cut-off, μg/L |
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| WHO[ | Adults | <15 |
| CDC[ | Persons >6 months of age | <15 |
| Royal College of Pathologists of Australasia[ | Adults | <30 |
| Group for the Research and Education on Anemia Therapy in Women[ | Women | <30 |
| American Association of Blood Banks[ | Female blood donors with hemoglobin 12-12.5 g/dL | <26 |