Hardyanto Soebono
Department Of Dermatology And Venereology, Faculty Of Medicine, Public Health, And Nursing Universitas Gadjah Mada/Dr. Sardjito Hospital, Yogyakarta

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Leprosy's risk factors and distribution pattern in Yogyakarta Efrizal Efrizal; Lutfan Lazuardi; Hardyanto Soebono
Berita Kedokteran Masyarakat (BKM) Vol 32, No 10 (2016)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.367 KB) | DOI: 10.22146/bkm.12345

Abstract

Risk factors and distribution of leprosy in YogyakartaPurposeThe purpose of this paper was to identify risk factors and distribution pattern of leprosy in Yogyakarta. MethodsA case-control study was conducted involving 112 samples which consisted of 56 cases and 56 controls. ResultsThe study found three risk factors of leprosy: BCG vaccination, humidity and lighting. BCG vaccination was the most dominant risk factor of leprosy. The study also showed that the distribution pattern of leprosy in Yogyakarta was clustered. BCG vaccination was the most dominant risk factor for leprosy occurrence. Distribution of leprosy events were wide-spread and dispersed in the city of Yogyakarta, Sleman, Bantul and Kulon Progo, and only in Gunung Kidul Regency were clustered, and overall in Yogyakarta Special Region was clustered. The existence of cases of leprosy was largely distant with primary health care, away from roads and rivers as well as more dominant in settlements in mountainous areas.ConclusionActive case finding of leprosy by health workers, especially in clustered areas to decide the transmission of leprosy either from humans or the environment, with training of leprosy and counseling officers to remove leprosy-related stigma needs to be done. These efforts need to be coordinated between the Health Office and community health centers so that the number of cases in each region can be known.
Faktor risiko kejadian kusta Aprizal Aprizal; Lutfan Lazuardi; Hardyanto Soebono
Berita Kedokteran Masyarakat (BKM) Vol 33, No 9 (2017)
Publisher : Fakultas Kedokteran Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.5 KB) | DOI: 10.22146/bkm.25569

Abstract

Risk factors of leprosy in district of LamonganPurposeThis study aimed to know the risk factors of leprosy incidence in Lamongan district including economic status or family income, BCG vaccination, residential density, floor conditions, source of water, contact history, bathing habit using soap and using footwear. MethodsThe research was a case-control study. The subjects were the people who had clinical or laboratory symptoms, leprosy diagnosed and recorded in the health center register. The samples were 170 people, consisting of 85 cases and 85 controls. The data were analysed using chi-square and logistic regression tests, and the amount of the risk was calculated using odds ratio. ResultsThe risk-factors associated with the incidence of leprosy in Lamongan were the economic status or family income (OR=4.3 and p=0.001), BCG vaccination (OR=4.3 and p=0.050), residential density (OR=3.2 and p=0.001), floor conditions (OR=2.8 and p=0.051), source of water (OR=2.1 and p=0.033), contact history (OR=7.8 and p=0.001), bathing habit using soap (OR=3.1 and p=0.022) and using footwear (OR=3.1 and p=0.004). The dominant risk factor was BCG vaccination (OR = 8.1 and p=0.025). ConclusionThere were correlations between leprosy incidence and the economic status or family income, BCG vaccination, residential density, floor conditions, source of water, contact history, bathing habit using soap and using footwear. The dominant risk factor was BCG vaccination.
Potential skin problems of diabetes mellitus patients: a review Iryani Andamari; H. Bing Thio; Hardyanto Soebono
Journal of the Medical Sciences (Berkala Ilmu Kedokteran) Vol 54, No 3 (2022)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19106/JMedSci005403202211

Abstract

Diabetes mellitus (DM) is one of the common metabolic disorders, and a major part of chronic diseases, the prevalence of which tends to increase due to multifactor. Blood vessels, kidneys, lungs, and skin are among the organs that are affected. The first problem that arises, or commonly exists among one-third of diabetics, are problems with their skin, although skin lesions may develop along with the progress of the disease, or can occur during the later phase of DM. The prevalence and symptoms of skin problems in type 1 DM (T1DM) and type 2 DM (T2DM) are often unclear, and at the beginning of the course of the diseases they often go undiagnosed. Several theories regarding the pathophysiology of DM can be used as a logical reference for the early identification and diagnosis of skin problems, aimed at preventing the worsened condition. The use of skin autofluorescence (SAF) and AGEs reader in several cases of skin problems, can also be an important marker as an adjunct to predict the possibility and progressiveness of DM. Skin problems linked to patients with DM can be categorized as strongly related to diabetes, non-specific and related to DM, skin infection in DM, and skin problems due to diabetic medication. With the current COVID-19 pandemic, there are additional demands for more critical investigation of skin problems in patients with DM. The skin problems that occur in DM may need to be examined from the early stage and it is necessary to inhibit the progression of skin problems, as well as to consider the need for multidisciplinary DM therapy.
Image dermoscopy skin lesion classification using deep learning method: systematic literature review Nugroho, Arief Kelik; Wardoyo, Retantyo; Wibowo, Moh Edi; Soebono, Hardyanto
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.6077

Abstract

Classifying skin lesions poses a significant challenge due to the distinctive characteristics and diverse shapes they can exhibit, particularly in identifying early-stage melanoma. To address the shortcomings of the prior method, a neural network-driven strategy was introduced to differentiate between two types of skin lesions based on dermoscopic images. This new approach comprises four key stages: i) initial image processing, ii) skin lesion segmentation, iii) feature extraction, and iv) classification using deep neural networks (DNNs). Computers can also provide more accurate diagnosis results. In the review process, the articles are analyzed and summarized to contribute to developing methods or application development in skin lesion diagnosis. The stages include defining the relevant theory, input data, methods used (architecture and modules), training process, and model evaluation. This review also explores information based on trends and users, emphasizing the skin lesion segmentation process, skin lesion classification process, and minimal datasets as recommendations for future research.
Non-dermatophytic onychomycosis caused by Fusarium spp. in a 58-year-old agricultural worker: a case report Aminy, Sayyidah A.; Amaia, Devika N.; Soebono, Hardyanto; Nuryastuti, Titik
Journal of Clinical Microbiology and Infectious Diseases Vol. 4 No. 2 (2024): Available online : 1 December 2024
Publisher : Indonesian Society for Clinical Microbiology (Perhimpunan Dokter Spesialis Mikrobiologi Klinik Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51559/jcmid.v4i2.66

Abstract

Introduction: Onychomycosis is a nail infection caused by dermatophytes, non-dermatophytes, and yeast. Fusarium spp. is one of the non-dermatophyte molds that can cause onychomycosis. A superficial infection with these fungi can lead to an invasive infection. Few case reports of onychomycosis caused by Fusarium spp. in Indonesia have been documented. Case description: We present a case of a 58-year-old male patient with a history of hepatitis B, atopic dermatitis, and corticosteroid consumption. Hyperkeratosis with a yellowish color was observed, and small particles of cornified material were discovered beneath both of his great toenails. Onychomycosis is assessed based on clinical symptoms. Mycological examinations were done by KOH examination and culture. Macroscopic examination of the culture revealed a white, cottony-looking mold with a non-pigmented reverse. Microscopic examination showed the septate hyphae, the canoe-shaped macroconidia, and the oval microconidia. We diagnosed onychomycosis caused by Fusarium spp. Based on macroscopic and microscopic examination. The antifungal susceptibility test showed a high MIC against several antifungal agents. Conclusion: It is important to be cautious for onychomycosis caused by Fusarium spp. infection as superficial infection can progress to invasive disease. Given the high prevalence of Fusarium spp. resistance to the antifungal group, antifungal treatment selection should be carefully considered.
The Effect of 0.2% Hyaluronic Acid Cream on the Severity of Acute Radiodermatitis in Breast Cancer Patients: a Double-Blind Randomized Controlled Trial Muchamad Apriyanto; Sigid Santosa, Novita Permatasari; Mira Oktarina, Dyah Ayu; Ekaputra, Ericko; Trisnowati, Niken; Budiyanto, Arief; Soebono, Hardyanto; Waskito, Fajar; Indrastuti, Niken
Berkala Ilmu Kesehatan Kulit dan Kelamin Vol. 37 No. 3 (2025): DECEMBER
Publisher : Faculty of Medicine, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/bikkk.V37.3.2025.195-202

Abstract

Background: Radiotherapy is an essential treatment in reducing the risk of breast cancer but can cause side effects such as acute radiodermatitis. This condition is the result of ionizing radiation damaging deoxyribonucleic acid (DNA) through reactive oxygen species (ROS) and inducing inflammatory responses, which lead to variable degrees of skin damage. Hyaluronic acid (HA) plays a role in triggering cell proliferation and keratinocyte differentiation while inhibiting lipid peroxidation caused by oxidative stress. Purpose: This study aims to determine the effectiveness of hyaluronic acid in reducing the degree of acute radiodermatitis using the Radiation Therapy Oncology Group (RTOG) score in breast cancer patients undergoing radiotherapy. Methods: This study was a double-blind randomized controlled trial. The samples were from patients diagnosed with breast cancer receiving radiotherapy. The treatment group received 0.2% HA cream, while the control group received a placebo The clinical appearance was evaluated weekly from the beginning of radiotherapy until two weeks post-radiotherapy using the RTOG score. Result: A total of 41 subjects were divided into two groups. RTOG score evaluation with intention-to-treat analysis and per-protocol analysis at weeks 3, 4, and 5 showed that the hyaluronic acid cream group experienced delayed onset of acute radiodermatitis compared to the placebo group. The log-rank test showed a significant difference in effectiveness between 0.2% HA cream compared to base cream in reducing the degree of acute radiodermatitis (p=0.035). Conclusion: The use of 0.2% HA cream was effective in reducing the severity of acute radiodermatitis in breast cancer patients undergoing radiotherapy.