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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

IMPACT FACTOR (RJIF): 8.4

Vol. 4, Issue 9, Part A (2018)

Dermal co-morbidity profile in clinically diagnosed polymorphous light eruption: A clinical study of 100 cases

Dermal co-morbidity profile in clinically diagnosed polymorphous light eruption: A clinical study of 100 cases

Author(s)
Dr. Deepak Sharma and Dr. KS Dhillon
Abstract
Background: Polymorphous light eruption (PMLE) is an acquired disease and is the most common of the idiopathic photodermatoses. In dermatology, a number of other conditions as a response to sunlight exposure have also been reported, however, there is no study detailing the dermatological co-morbidity profile of clinically diagnosed PMLE cases.
Aims and Objective: To study dermal co-morbidity profile of PMLE cases.
Materials and Methods: Hundred PMLE patients were studied at Department of Dermatology, Venereology & Leprosy, Era’s Lucknow Medical College and Hospital, Lucknow during a period of one year for demographic, clinical and histopathological findings.
Results: Maximum patients had age <30 years (54%) with female preponderance (58%). Maximum patients had an acute onset (61%) mainly in summer season (78%). A total of 77 patients had dermal co-morbidities. Melasma was the most common co-morbidity (23%). Histopathology was performed in 89 cases and confirmed PMLE in only 56.92% cases. Presence of dermal co-morbidities in a large number of cases (77%) and lack of confirmed diagnosis in almost half the cases stress on the need to adopt a comprehensive clinical and histopathological evaluation approach.
Conclusion: PMLE was characterized by a higher prevalence of other dermal conditions, thus indicating the vulnerability of these patients to other skin disorders.
Pages: 13-16  |  814 Views  71 Downloads
How to cite this article:
Dr. Deepak Sharma, Dr. KS Dhillon. Dermal co-morbidity profile in clinically diagnosed polymorphous light eruption: A clinical study of 100 cases. Int J Appl Res 2018;4(9):13-16.
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