Ilham Nugroho

Dr. Ilham Nugroho

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Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

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

Representative Publications

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11 August 2025 in Diagnostics
Verified
Journal Article
Open access
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APANDI DARMA PUTRA
ANDI DARMA PUTRA
GPGatot Purwoto
Gatot Purwoto
YSYumeico Sachi
Yumeico Sachi
CSChandra William Suhendar
Chandra William Suhendar
Ilham NugrohoIlham Nugroho
Ilham Nugroho
GLGraciella Angelica Lukas
Graciella Angelica Lukas
Objectives: This study aims to describe the ultrasound findings and biomarker profiles (CA-125, HE4, CEA, ADA, and IGRA) in confirmed cases of peritoneal tuberculosis (PTB) and to discuss their relevance in clinical evaluation. Methods: This is a retrospective study utilizing data from 12 female subjects with a confirmed PTB diagnosis at Cipto Mangunkusumo Hospital and Hermina Depok Hospital between 2018 and 2023. Data were extracted from medical records. Biomarker levels were measured using standardized assays in a single accredited laboratory. Ultrasonography was performed using the Mindray Resona 7 system. Results: The mean age was 33.0 ± 9.7 years. Ultrasonography identified significant features of PTB, such as hydrosalpinx 7 (58.3%), adhesions 6 (50%), ascites 7 (58.3%), cystic/mass-like lesions 4 (33.3%), and involvement of the rectosigmoid colon and small bowel 2 (16.6%). CA-125 levels were elevated (mean: 484.25 U/mL), and HE4 was high in 41.6% of cases (mean: 66.8 pmol/L). CEA levels remained low (mean: 1.725 ng/mL), and ADA levels were elevated in all patients (mean: 45.8 U/L). IGRA testing yielded a 75% positivity rate, with one patient converting from negative to positive after a month. Conclusions: Ultrasound remains a valuable imaging modality for identifying characteristic features of PTB, particularly hydrosalpinx and ascites. Elevated CA-125 and ADA, alongside IGRA results, may support clinical suspicion and help guide diagnosis in settings where invasive procedures are limited.

20 January 2025
Verified
Conference Paper
Open access
PDF file
ZIZhovarina Isniarta
Zhovarina Isniarta
Ilham NugrohoIlham Nugroho
Ilham Nugroho
ASAziza Ayunisa Sumapraja
Aziza Ayunisa Sumapraja
RCRony Mario Candrasatria
Rony Mario Candrasatria
Introduction Peripartum cardiomyopathy (PPCM) is a cardiovascular condition that occurs during late pregnancy or within five months postpartum, often leading to poor clinical outcomes. The global incidence of PPCM is estimated to range from 1 in 100 to 1 in 20,000 live births, depending on the population and geographic region. Identifying predictors of poor clinical outcomes in PPCM is essential for optimizing care management and improving the prognosis of affected patients. Methods A literature search was conducted in the PubMed database using the keywords (((peripartum cardiomyopathy) OR (PPCM)) AND (outcome)) AND (predictor), limited to articles published in English between 2014 and 2024. The study focusing on predictors to assess outcome of PPCM patients. Results Eleven studies met the inclusion criteria, providing data on 1259 patients with PPCM, which revealed that elevated heart rate (adjusted odds ratio 5.35, confidence interval 1.23–23.28, p=0.025), high N-terminal pro-hormone brain natriuretic peptide (NT-proBNP) levels (log-rank test p-value 0.018), and low systolic blood pressure (p=0.0023) are significant predictors of mortality and reduced left ventricular ejection fraction (LVEF). Sinus tachycardia and prolonged QT intervals (QTc) on baseline electrocardiography (ECG) are also associated with poor outcomes (OR 6.34, 95% CI 1.06–37.80, p=0.043). Furthermore, right ventricular dysfunction and elevated pulmonary artery systolic pressure correlate with adverse events such as death or recurrent hospitalizations (95% confidence interval: 1.11–9.28, p=0.03). Additionally, a low Prognostic Nutritional Index (PNI) is a key indicator of poor outcomes (95% confidence interval 0.729–0.888, p<0.001). Discussion These findings indicate that factors such as heart rate, NT-proBNP levels, systolic blood pressure, and PNI can provide valuable insights into the prognosis of PPCM patients. Moreover, ECG abnormalities, including prolonged QTc and sinus tachycardia, along with right ventricular dysfunction and systolic pulmonary artery pressure, serve as important prognostic indicators for predicting clinical outcomes. Conclusion A comprehensive assessment of these factors can enhance the ability to predict outcomes and tailor treatment strategies for PPCM patients. Close monitoring of these parameters is crucial for improving clinical outcomes and optimizing the management of PPCM.