Nyityasmono Tri Nugroho

Dr. Nyityasmono Tri Nugroho

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 October 2019 in Medical Microbiology and Immunology
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Journal Article
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EIEvgeny A. Idelevich
Evgeny A. Idelevich
DKDennis Knaack
Dennis Knaack
NNNyityasmono Tri Nugroho
Nyityasmono Tri Nugroho
GPGeorg Peters
Georg Peters
TBTheodosios Bisdas
Theodosios Bisdas
Monika HertenMonika Herten
Monika Herten

1 January 2020 in Communications in Mathematical Biology and Neuroscience
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Rezzy Eko CarakaRezzy Eko Caraka
Rezzy Eko Caraka
NNNyityasmono Tri Nugroho
Nyityasmono Tri Nugroho
Shao Kuo TaiShao Kuo Tai
Shao Kuo Tai
Rung-Ching ChenRung-Ching Chen
Rung-Ching Chen
TTToni Toharudin
Toni Toharudin
Bens PardameanBens Pardamean
Bens Pardamean
A retrospective study of the abdominal aortic aneurysm (AAA) with EVAR treated patients. The third-party collected the data from twelve vascular centres in Indonesia during 2012-2017. Patient demographics and computed tomography data were evaluated with Osirix MD Software. During five years, we had 148 EVAR cases done using Endurant stent graft (Medtronic). In this paper, we perform Bayesian modelling and selection of feature selection by Boruta. Before performing the models, we will determine the selection of dependent variables start with the Age, Class, and Sex. It will get what is important to be dependent and independent. The difference between Bayesian and classical method is the introduction of prior information in the form of probability distributions. In addition, to determine the parameters using the Bayesian method obtained from the probability statement. Parameter estimation in Bayesian is no longer a point estimate but, on the contrary, is a statistical distribution. In other words, Bayesian states that a parameter is a variable that has a distribution. Bayesian has become a popular method in modern statistical analysis. Bayesian is applied to a broad spectrum in the scientific and research fields. Bayesian data analysis involves learning from data that uses probability models for many observations and some information to be studied. In other words, analysing statistical models are by combining prior knowledge about the model or parameters of the model. In a nutshell, the simulation results obtained modelling with Bayesian-ZIP-MCMC R-2 87.52 and Bayesian-Boruta R-2 88.28%.

1 October 2021 in Data in Brief
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Journal Article
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NPNikolaos D. Patelis
Nikolaos D. Patelis
TBTheodosios Bisdas
Theodosios Bisdas
ZJZaiping Jing
Zaiping Jing
JFJiaxuan Feng
Jiaxuan Feng
MTMatthias Trenner
Matthias Trenner
SGSotirios Georgopoulos
Sotirios Georgopoulos
This dataset supports the findings of the vascular e-Learning during the COVID-19 pandemic survey (the EL-COVID survey). The General Data Protection Regulation (GDPR) of the European Union was taken into consideration in all steps of data handling. The survey was approved by the institutional ethics committee of the Primary Investigator and an online English survey consisting of 18 questions was developed ad-hoc. A bilingual English-Mandarin version of the questionnaire was developed according to the instructions of the Chinese Medical Association in order to be used in mainland People's Republic of China. Differences between the two questionnaires were minor and did affect the process of data collection. Both questionnaires were hosted online.

17 October 2023 in Medicina
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NNNyityasmono Tri Nugroho
Nyityasmono Tri Nugroho
Monika HertenMonika Herten
Monika Herten
GTGiovanni F. Torsello
Giovanni F. Torsello
NONani Osada
Nani Osada
EMElena Marchiori
Elena Marchiori
GTGiovanni B. Torsello
Giovanni B. Torsello
Background and Objectives: This study aims to identify the minor allele of the single nucleotide polymorphisms (SNPs) DAB2IP rs7025486, IL6R rs2228145, CDKN2BAS rs10757278, LPA rs3798220, LRP1 rs1466535, and SORT1 rs599839 in order to assess the risk of abdominal aortic aneurysm (AAA) formation and define the linkage among these SNPs. Materials and Methods: A case-control study with AAA patients (AAA group) and non-AAA controls (control group) was carried out in a study population. DNA was isolated from whole blood samples; the SNPs were amplified using PCR and sequenced. Results: In the AAA group of 148 patients, 87.2% of the patients were male, 64.2% had a history of smoking, and 18.2% had relatives with AAA. The mean ± SD of age, BMI, and aneurysmal diameter in the AAA group were 74.8 ± 8.3 years, 27.6 ± 4.6 kg/m2, and 56.2 ± 11.8 mm, respectively. In comparison with 50 non-AAA patients, there was a significantly elevated presence of the SNPs DAB2IP rs7025486[A], CDKN2BAS rs10757278[G], and SORT1 rs599839[G] in the AAA group (p-values 0.040, 0.024, 0.035, respectively), while LPA rs3798220[C] was significantly higher in the control group (p = 0.049). A haplotype investigation showed that the SNPs DAB2IP, CDKN2BAS, and IL6R rs2228145[C] were significantly elevated in the AAA group (p = 0.037, 0.037, and 0.046) with minor allele frequencies (MAF) of 25.5%, 10.6%, and 15.4%, respectively. Only DAB2IP and CDKN2BAS showed significantly higher occurrences of a mutation (p = 0.028 and 0.047). Except for LPA, all SNPs were associated with a large aortic diameter in AAA (p < 0.001). Linkage disequilibrium detection showed that LPA to DAB2IP, to IL6R, to CDKN2BAS, and to LRP1 rs1466535[T] had D’ values of 70.9%, 80.4%, 100%, and 100%, respectively. IL6R to LRP1 and to SORT1 had values for the coefficient of determination (r2) of 3.9% and 2.2%, respectively. Conclusions: In the investigated study population, the SNPs CDKN2BAS rs10757278, LPA rs3798220, SORT1 rs599839, DAB2IP rs7025486, and IL6R rs2228145 were associated with the development of abdominal aortic aneurysms. Individuals with risk factors for atherosclerosis and/or a family history of AAA should be evaluated using genetic analysis.

15 July 2025 in JVS-Vascular Insights
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NNNyityasmono Tri Nugroho
Nyityasmono Tri Nugroho
ANAgus Prasetyo Nuryadi
Agus Prasetyo Nuryadi
MIMuhammad Ilyas
Muhammad Ilyas
MNMuhammad Hanif Nadhif
Muhammad Hanif Nadhif
RYReyhan Eddy Yunus
Reyhan Eddy Yunus
RSRaden Suhartono
Raden Suhartono

4 October 2020
Verified
Journal Article
Open access
AJAhmad Jamaluddin
Ahmad Jamaluddin
SASheli Azalea
Sheli Azalea
RNRizki Andita Noviar
Rizki Andita Noviar
DSDian Eka Putra Suwarto
Dian Eka Putra Suwarto
NNNyityasmono Tri Nugroho
Nyityasmono Tri Nugroho
Background: Cardiac arrest mostly happens in out hospital setting. Bystander CPR improves survival after out-of-hospital cardiac arrest.In 2018 BSMI Jakarta Raya started the Mosque lifesaver training as basic life support training for laypersons’ in Indonesia, optimizing mosques as the center of community activities. The aim of this study is to evaluate the effect of “mosque lifesaver training” for the laypersons’ knowledge and willingness to perform basic life support.Methods: There are 247 people from twelve mosques that participated in this research. The participants were given fifteen multiple-choice preposttest questioners in basic life support knowledge, one full day two-direction training, one-by-one practicing in small group for adult and pediatric CPR (Cardio-Pulmonary Resuscitation), and CPR skill test. Data was collected and statistically analyzed with SPSS 24 Software by IBM.Results and discussion: From 247 participants, 32 were excluded due to lack of data. For rest of 215 participants, 32.1% was housewife, mean value of age was 39.1 ± 0.9 SD years, educational background was bachelor in 44.7% participants. Mean value of pre-test and post-test were 28.70 ± 16.8 SD and 55.73 ± 19.30 SD, respectively. The post-test result has significant correlation of profession (p=0.003), but no significant correlation of age (p=0.08) and educational background (0.51). Marginal homogeneity test for pre and post test data brought p<0.001 significance. Before the training, only 57.2% participants had willingness to perform cardiopulmonary resuscitation. After the training, 91.2% participants have willingness to perform cardiopulmonary resuscitation if witness sudden cardiac arrest of unknown people.Conclusion: Participants who enrolled the training were predominantly by housewife, productive age with bachelor educational background. Mosque lifesaver training show significant improvement in laypersons’ knowledge and willingness to perform basic life support.International Journal of Human and Health Sciences Vol. 05 No. 02 April’21 Page: 202-206