Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Jurnal Kedokteran Brawijaya Universa Medicina Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Hutapea, Hotma Martogi Lorensi
Unknown Affiliation
Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Profile of HIV/AIDS Patients Coinfected with Tuberculosis in Bumi Wonorejo Health Centre and Santo Rafael Clinic Nabire, Papua Kridaningsih, Tri Nury; Widiyanti, Mirna; Adiningsih, Setyo; Hutapea, Hotma Martogi Lorensi; Fitriana, Eva; Natalia, Evi Iriani
Jurnal Kedokteran Brawijaya Vol 31, No 4 (2021)
Publisher : Fakultas Kedokteran Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkb.2021.031.04.10

Abstract

HIV-TB co-infection still becomes a health problem in Indonesia, including in Nabire district, Papua province, which has the highest number of cases. HIV and TB infections are closely related and affect the epidemiology of one another. This study aims to determine the profile description of HIV-TB co-infected patients in Nabire. This research is a descriptive study with a cross-sectional design on 90 people with HIV/AIDS selected consecutively. Data were analyzed univariately and presented in the form of a frequency distribution table. The results showed that of 55 HIV/AIDS co-infected TB patients, almost all (90.9%) were Papuan ethnic, 70.9% were female and aged 30 to 49 years (50.9%) with a mean of 31.309.36 years. The majority of HIV-TB co-infected patients were married (63.6%), holding secondary education (58.2%), working (67.3%), engaging in sexual activity after 17 years of age, only having one sexual partner, and did not use drugs or obtain blood transfusions. The clinical profile of HIV-TB patients showed that 67.3% of the patients were with baseline CD4 count ≤350 cells/mm3, 64.8% had CD4 count at the time of study >350 cells/mm3, and viral load values fewer than 5000 copies/ml (87.3%). The therapy most widely received for patients with HIV-TB coinfection was the combination of ARV 3TC+EFV+TDF (76.4%). The most common clinical symptoms of HIV/AIDS patients were weight loss (56.4%), cough (40%), recurrent oral thrush (36.4%), chickenpox (32.7%), and tuberculosis lymph nodes (18.2%).
Viral load as a risk factor of reverse transcriptase inhibitor drug resistance mutation in antiretroviral-treated people living with HIV/AIDS Hutapea, Hotma Martogi Lorensi; Kridaningsih, Tri Nury; Prasetyo, Khoirul Huda; Antwi, Milton Boaheng
Universa Medicina Vol. 40 No. 3 (2021)
Publisher : Faculty of Medicine, Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18051/UnivMed.2021.v40.243-253

Abstract

Background The human immunodeficiency virus type 1 (HIV-1) is a major contagion faced by the population of Indonesia. The success of antiretroviral treatment (ART) is threatened by the emergence of drug resistance mutations (DRM). The aim of this study was to determine the association between CD4 count, CD4 count changes, viral load, adherence to therapy, and therapy history in the presence of DRM in people living with HIV/AIDS (PLWHA). MethodsThis was a cross-sectional study involving 269 adults who underwent antiretroviral (ARV) therapy for at least 6 months. The frequencies of DRM and polymorphisms were measured by partial amplification of the reverse transcriptase (RT) gene using RT-nested PCR on samples with viral loads of >1000 copies/mL. Sequencing was performed using the Sanger method, and edited by BioEdit. The edited sequences were submitted to http://hivdb.stanford.edu for DRM determination. Respondents’ medical data, CD4 count, viral load, and DRM were analyzed by simple and multiple logistic regression. ResultsThe multiple logistic regression analysis showed a significant association of CD4 count (aOR=12.47; 95% CI: 1.45 -107.39; p=0.023) and viral load at the time of study (aOR=29.56; 95% CI: 3.47-251.52; p=0.002) with the presence of DRM in respondents. ARV substitution history was not associated with the presence of DRM. There were 17 respondents (6.3%) carrying HIV-1 DRM, with M184V/I (11 sequences) as the most frequent pattern of NRTI resistance, and K103 (9 sequences) as that of NNRTI resistance. ConclusionThis study demonstrated that viral load at the time of the study was the most influential determinant factor for the presence of DRM in PLWHA.
Risk Factors Associated with Long COVID Among Hospitalized Adults in Several Hospitals in Palembang City, Indonesia Hutapea, Hotma Martogi Lorensi; Sudaryo, Mondastri Korib; Parikesit, Arli Aditya; Miko Wahyono, Tri Yunis; Salim, Nelda Aprilia
Kesmas Vol. 20, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Long COVID is characterized by one or more symptoms experienced by individuals prior to a COVID-19 infection that last for ≥2 months, and its risk factors remain unclear. This study aimed to identify risk factors associated with long COVID among patients admitted between June 1, 2020, and October 31, 2023, at three referral COVID-19 hospitals in Palembang City, Indonesia. This cohort study included adults who were admitted for ≥5 days. The participant’s medical records were reviewed for admission and discharge dates, sociodemographic and clinical characteristics, and vaccination and therapy status. A standardized and validated instrument was used to assess fatigue during admission, and a structured questionnaire was used to evaluate long COVID. Cox regression was employed to determine factors associated with long COVID. Among 256 patients, long COVID was identified in 39.1%. Fatigue during admission, chronic kidney disease, thrombocytosis, and positive RT-PCR test at hospital discharge increased the risk of long COVID, whereas being fully vaccinated decreased its risk. This study identifies five risk factors for long COVID and determines that fatigue during admission is the strongest.
Co-Authors Adiningsih, Setyo Antwi, Milton Boaheng Arli Aditya Parikesit Eva Fitriana, Eva Kridaningsih, Tri Nury Miko Wahyono, Tri Yunis Mirna Widiyanti Natalia, Evi Iriani Nelda Aprilia Salim Prasetyo, Khoirul Huda Sudaryo, Mondastri Korib