Seasonality of the hospitalizations at a dermatologic ward (2007-2017)

Brito, Leonardo de Andrade Rodrigues; Nascimento, Ana Cláudia Mendes do; Marque, Carla de; Miot, Hélio Amante

doi:10.1590/abd1806-4841.20187309

Cited by 14 publications

(16 citation statements)

References 9 publications

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“…A seasonal pattern has been proposed in a variety of skin disorders, including alopecia areata, psoriasis, acne, and atopic dermatitis. [5][6][7][8][9][10][11][12] Our findings revealed the lowest prevalence of SD during the summer in all age groups and for both sexes. This seasonal pattern may be related to increased ultraviolet radiation (UVR) exposure, higher levels of air humidity, and changes to the skin microbiome during warmer months.…”

Section: Discussionsupporting

confidence: 43%

The differences of demographic features and seasonal variation in Seborrheic Dermatitis Between Adults And Children: A Cross-Sectional, Single-Center, Hospital-Based Study

Uzunçakmak¹

2021

South Clin Ist Euras

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Objective: Seborrheic dermatitis (SD) is a common chronic inflammatory skin disorder characterized by erythematous papulosquamous lesions in body regions that are rich in sebaceous glands, particularly the scalp, face, and intertriginous areas. Seasonal variation has been reported in different skin diseases; however, the results have been contradictory. The aim of this research was to analyze the demographic characteristics of patients with SD and to examine the impact of seasonality.Methods: Patients who were diagnosed with SD at an outpatient dermatology clinic between June 1, 2015 and June 1, 2020 were included in this retrospective, cross-sectional, single-center, hospital-based study. Both pediatric and adult dermatology outpatient cases were evaluated.Results: A total of 2656 patients with SD presented at the outpatient clinic during the study period. The mean age was 31.99±15.88 years (range: 0-87 years). Among these patients, 1540 (58%) were males and 1116 (42%) were females. SD was most common among those aged 20-30 years (29.9%). The mean age was 29.51±15.43 years in the female patients and 33.80±15.96 in males. Evaluation according to season revealed that 817 (31%) patients presented during the winter months, 615 patients in spring (23%), 452 in summer (17%), and 772 (29%) in the autumn. Conclusion:SD is a common, multifactorial skin disease. This study evaluated a wide patient profile and it was observed that middle-aged adults and men were the most affected. Patients presented most frequently during the cold weather season. Although the data obtained from this study are similar to others in the existing literature, these findings provide a new contribution to the epidemiological data of Turkey. Prospectively designed, population-based studies that evaluate potential triggering factors will help to explain the full etiology and seasonal incidence more clearly.

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Section: Discussionsupporting

confidence: 43%

The differences of demographic features and seasonal variation in Seborrheic Dermatitis Between Adults And Children: A Cross-Sectional, Single-Center, Hospital-Based Study

Uzunçakmak¹

2021

South Clin Ist Euras

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“…A study on dermatological hospitalizations analyzed the profiles of admissions associated with the seasons of the year and showed that there was a higher incidence of leprosy. 37 A study that evaluated the presence of M. leprae in the nasal mucosa of the population identified seasonal variation and a possible association among environmental conditions (climate), the transmission patterns and levels of exposure to M. leprae. 38 In order to assure success in leprosy elimination program actions, it is necessary to understand the geographical distribution of the disease, its natural history and pathogen-host interactions.…”

Section: Discussionmentioning

confidence: 99%

Predicting the detection of leprosy in a hyperendemic area of Brazil: Using time series analysis

Gregório¹,

Pedroza

Barbosa

et al. 2021

IJDVL

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Background: Brazil has the second highest prevalence of leprosy worldwide. Autoregressive integrated moving average models are useful tools in surveillance systems because they provide reliable forecasts from epidemiological time series. Aim: To evaluate the temporal patterns of leprosy detection from 2001 to 2015 and forecast for 2020 in a hyperendemic area in northeastern Brazil. Methods: A cross-sectional study was conducted using monthly leprosy detection from the Brazil information system for notifiable diseases. The Box–Jenkins method was applied to fit a seasonal autoregressive integrated moving average model. Forecasting models (95% prediction interval) were developed to predict leprosy detection for 2020. Results: A total of 44,578 cases were registered with a mean of 247.7 cases per month. The best-fitted model to make forecasts was the seasonal autoregressive integrated moving average ((1,1,1); (1,1,1)). It was predicted 0.32 cases/100,000 inhabitants to January of 2016 and 0.38 cases/100,000 inhabitants to December of 2020. Limitations: This study used secondary data from Brazil information system for notifiable diseases; hence, leprosy data may be underreported. Conclusion: The forecast for leprosy detection rate for December 2020 was < 1 case/100,000 inhabitants. Seasonal autoregressive integrated moving average model has been shown to be appropriate and could be used to forecast leprosy detection rates. Thus, this strategy can be used to facilitate prevention and elimination programmes.

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“…Another limitation was that the sample comprised only one epidemiologic week, which might have influenced the frequency of diseases with seasonal characteristics, such as psoriasis, leishmaniasis, and mycoses. 50 Nevertheless, the same epidemiological week was chosen as in the 2006 study to allow comparisons to be made, constituting the main source of information on the demand for dermatological services in Latin America.…”

Section: Discussionmentioning

confidence: 99%

Profile of dermatological consultations in Brazil (2018)

Dermatologia¹,

Miot

Penna

et al. 2018

An. Bras. Dermatol.

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BackgroundDermatological diseases are among the primary causes of the demand for basic health care. Studies on the frequency of dermatoses are important for the proper management of health planning.ObjectivesTo evaluate the nosological and behavioral profiles of dermatological consultations in Brazil.MethodsThe Brazilian Society of Dermatology invited all of its members to complete an online form on patients who sought consultations from March 21-26, 2018. The form contained questions about patient demographics, consultation type according to the patient's funding, the municipality of the consultation, diagnosis, treatments and procedures. Diagnostic and therapeutic decisions were compared between subgroups.ResultsData from 9629 visits were recorded. The most frequent causes for consultation were acne (8.0%), photoaging (7.7%), nonmelanoma skin cancer (5.4%), and actinic keratosis (4.7%). The identified diseases had distinct patterns with regard to gender, skin color, geographic region, type of funding for the consultation, and age group. Concerning the medical conducts, photoprotection was indicated in 44% of consultations, surgical diagnostic procedures were performed in 7.3%, surgical therapeutic procedures were conducted in 19.2%, and cosmetic procedures were performed in 7.1%.Study limitationsNonrandomized survey, with a sample period of one week.ConclusionThis research allowed us to identify the epidemiological profiles of the demands of outpatients for dermatologists in various contexts. The results also highlight the importance of aesthetic demands in privately funded consultations and the significance of diseases such as acne, nonmelanoma skin cancer, leprosy, and psoriasis to public health.

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Seasonality of the hospitalizations at a dermatologic ward (2007-2017)

Cited by 14 publications

References 9 publications

The differences of demographic features and seasonal variation in Seborrheic Dermatitis Between Adults And Children: A Cross-Sectional, Single-Center, Hospital-Based Study

The differences of demographic features and seasonal variation in Seborrheic Dermatitis Between Adults And Children: A Cross-Sectional, Single-Center, Hospital-Based Study

Predicting the detection of leprosy in a hyperendemic area of Brazil: Using time series analysis

Profile of dermatological consultations in Brazil (2018)

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