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Inspiratory Muscle Trainer Effectiveness in Chronic Obstructive Pulmonary Disease Rehabilitation Program Nusdwinuringtyas, Nury; Islamadina, Balqis; Rumende, Cleopas Martin; Kamelia, Telly
Majalah Kedokteran Bandung Vol 51, No 1 (2019)
Publisher : Faculty of Medicine, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.998 KB) | DOI: 10.15395/mkb.v51n1.1600

Abstract

Chronic obstructive pulmonary disease (COPD) is marked by persistent respiratory disturbance which results in altered health status as well as functional capacity. Pulmonary rehabilitation (PR) is a part of comprehensive therapy in patients suffering from respiratory disturbance. This study focused on inspiratory muscles exercise using the inspiratory muscle trainer(IMT), which is a form of a weight training exercise. This experiment was conducted at the COPD outpatient clinic of Dr. Cipto Mangunkusumo Hospital during the period of September 2017 until April 2018. Patients were recruited consecutively. The criteria for inclusion were stable COPD patient with GOLD criteria A-D and never received prior exercise for pulmonary rehabilitation. Patients underwent interview about their medical history followed by spirometry testing using Carefusion® and  inspiratory muscle strength assessment using Micro RPM Carefusion®. The St George Respiratory Questionnaire (SGRQ) was used to assess the health status and the 6-minute walking test (6MWT) was conducted to assess the functional capacity. Subject exercised using IMT (Philips Respironic®) for eight weeks. Data were analyzed using paired t-test in statistical package for social sciences (SPSS) version 21. A total of 15 subjects with and average age of 65.6±8.40 years old were recruited. Pre-Post difference in inspiratory muscle strength was 11.31 cmH2O, showing a statistically significant impact. The significant impact was also shown clinically through the results of the Minimal Clinical Important Difference (MCID) on health status and functional capacity. The health status was evaluated using SGRQ with p exceeding 4%. A combined Pulmonary Rehabilitation (PR) and inspiratory muscles exercise program is proven to improve the health status and functional capacity.Key words: COPD, inspiratory muscle trainer, pulmonary rehabilitation, SGRQ, 6MWT Keefektifan Inspiratory Muscle Trainer Pada Program Rehabilitasi  Penyakit Paru Obstruktif KronikPenyakit paru obstruktif kronik (PPOK) ditandai dengan gangguan pernapasan yang persisten yang mengganggu status kesehatan dan kapasitas fungsional. Pulmonary rehabilitation (PR) merupakan bagian dari terapi komprehensif pasien dengan ganguan respirasi. Penelitian ini memfokuskan pada latihan otot inspirasi menggunakan inspiratory muscle trainer (IMT), suatu bentuk latihan otot pernapasan dengan pemberian beban. Eksperimen ini dilakukan di Rumah Sakit Cipto Mangunkusumo selama periode September 2017 hingga April 2018. Pasien direkrut secara consecutive sampling. Kriteria inklusi adalah pasien PPOK yang stabil dengan kriteria GOLD A-D yang belum pernah menerima latihan sebelumnya untuk rehabilitasi paru. Pasien menjalani wawancara, diuji dengan spirometri Carefusion®, dan kekuatan otot inspirasi dinilai menggunakan Micro RPM Carefusion®. St George Respiratory Questionnaire (SGRQ) digunakan untuk menilai status kesehatan dan 6-minute Walking Test (6MWT) dilakukan untuk menilai kapasitas fungsional. Subyek menggunakan alat IMT (Philips Respironic®) selama 8 minggu. Data dianalisis menggunakan SPSS versi 21 dengan uji T berpasangan. Subjek penelitian berjumlah 15 orang dengan rerata usia 65,6 ± 8,40 tahun. Kekuatan otot inspirasi awal didapatkan perubahan sebesar 11,31 cmH2O, yang memberikan dampak bermakna dilihat dengan pencapaian minimal clinical important difference (MCID) pada status kesehatan dan kapasitas fungsional. PR bersama dengan program latihanotot inspirasiterbukti memberikan hasil perbaikan status kesehatan dan kapasitas fungsional.Kata kunci: COPD, inspiratory muscle trainer, pulmonary rehabilitation, SGRQ, 6MWT 
The Changes of Amino Terminal Pro B-type Natriuretic Peptide(NT-proBNP) Concentration and Left Ventricular EjectionFraction on Doxorubicin Chemotherapy Patients Kamelia, Telly; Waspadji, Sarwono; Makmun, Lukman Hakim; Effendi, Shufrie; Ramli, Muchlis; Timan, Ina Susanti
Jurnal Penyakit Dalam Indonesia Vol. 4, No. 2
Publisher : UI Scholars Hub

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Abstract

Introduction. Cancer patients who received chemotherapy regimen containing doxorubicin has been known to have serious side effect in heart, called as cardiotoxicity. The measurement of NT-proBNP proposed to be used as a new parameter to identify and evaluate cardiotoxicity in cancer patients earlier before it has been manifested, superior than measurement of left ventricle ejection fraction (LVEF). The aims of this study to examine the changes of NT-proBNP concentration and LVEF on patients with cancer who receive chemotherapy regimen containing doxorubicin. Methods. The study used pre and post test design to observe the changes of NT-proBNP concentration and LVEF on the patients who receive naïve doxorubicin chemotherapy and after chemotherapy-cycle I to cyce IV at the Ciptomangunkusumo hospital, Jakarta. Echocardiography and NT-proBNP were examined on naïve chemotherapy and after chemotherapy each cycle. Statistical analysis was performed by using two way Anova and Friedman nonparametric test. Results. During the period of October 2007 to June 2008, a total of 29 consecutive patiets receiving doxorubicin chemotherapy regimen CHOP (Cyclophosphamide, doxorubicin, Vincristine, Prednisone and FAC-5 Fluorouracil, doxorubicin, Cyclophosphamide) were collected. The increase of median NT-proBNP concentration between naïve chemotherapy and: post chemotherapy cycle I was 32 pg/mL (12,5-124,6 pg/mL), post chemotherapy cycle II was 135 pg/mL (44-275,2 pg/mL), post chemotherapy cycle III was 275,1 pg/mL (97,8-907,2 pg/mL), post chemotherapy cycle IV was 514,6 pg/mL (80,6-6458,2 pg/mL). With Friedman test, p< 0,000. With Anova two way test, it was found the difference between naïve LVEF and LVEF: post chemotherapy cycle I was 5,1% (p 0,000), post chemotherapy cycle II 8,9% (p 0,000), post chemotherapy cycle III 11,2% (p 0,000), post chemotherapy cycle IV 12,5% (p 0,000). Conclusions. Elevated NT-proBNP concentration and LVEF reduction had been observed in doxorubicin chemotherapy patients.
The Role of Fibrin Monomer Compared to D-dimer and CRP in Determining COVID-19 Severity Iriani, Anggraini; Sukorini, Usi; Fatina, Marsya Kaila; Aflah, Naja F; Aiman, Sarah A; Gemilang, Rizka K; Kamelia, Telly
INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY Vol. 30 No. 2 (2024)
Publisher : Indonesian Association of Clinical Pathologist and Medical laboratory

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24293/ijcpml.v30i2.2110

Abstract

Fibrin Monomer (FM), as a product of thrombin activity in cleaving fibrinogen, can be used as an early marker of thrombotic events in COVID-19 patients. D-dimer is a commonly used marker of hemostasis as a product of plasmin activity in cleaving polymeric fibrin. D-dimer is often used to help decide whether to initiate anticoagulant administration. This study aims to know whether FM can be used as a marker for thrombotic events such as D-dimer in COVID-19 patients; CRP levels were also examined to determine how inflammation affected the two hemostatic indicators. A total of 93 patients were confirmed with COVID-19 by PCR. The median (min-max) FM in the severe stage was 4.53 (2.26-58.20)ug/mL, whereas, in the mild-moderate stage, it was 4.21 (2.19-32.35 ug/mL. There are significant differences in median D-dimer levels in severe stages to mild-moderate, respectively 0.46 (0.14–7.58) and 0.7890, and ages. The level of FM that can be used to differentiate the severe stage  is > 4.46 ug/mL (sensitivity 56.3%, specificity 58.0%) as in the D-dimer level is > 0.58 ug/mL ((sensitivity 75.0%, specificity 65.2%). There is a moderate positive correlation between fibrin monomer and D-dimer, a weak positive correlation between D-dimer and CRP, and no correlation between FM and CRP. This study concludes that the FM median level is higher in severe COVID-19 than in D-dimer. Fibrin monomer levels have a positive correlation with D-dimer. Fibrin Monomer levels are not affected by CRP.  
Risk Factors for Multidrug-Resistant Bacterial Infections in Hospital-Acquired Pneumonia at Cipto Mangunkusumo Hospital Murwaningrum, Artati; Kamelia, Telly; Chen, Khie; Loho, Tonny; Abdullah, Murdani
Journal Medical Informatics Technology Volume 2 No. 4, December 2024
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v2i4.94

Abstract

Multidrug-resistant (MDR) hospital-acquired pneumonia (HAP) is linked to high mortality, extended hospital stays, and increased healthcare costs. Identifying risk factors for MDR HAP is essential to formulate effective management strategies. This study analyzed the proportion of risk factors associated with MDR bacterial infections in HAP patients treated at Cipto Mangunkusumo General Hospital. Using a retrospective cohort design, data were collected from medical records of HAP patients hospitalized between 2015 and 2016. A total of 68 patients met the inclusion criteria, while 10 were excluded due to fungal or non-pathogenic bacterial growth in sputum cultures. Patients were categorized as infected with MDR or non-MDR bacteria based on the resistance profile of their initial sputum cultures. Descriptive analysis was conducted using Microsoft Excel to calculate proportions of risk factors, without applying inferential statistical tests due to the limited sample size. The incidence of HAP was 6.12 per 1000 admissions in 2015 and 6.15 in 2016. MDR bacterial infections were observed in 95% of cases in 2015 and 82.1% in 2016. Key risk factors for MDR infections included prior antibiotic use within 90 days (100%), albumin levels <2.5 g/dL (100%), Charlson Comorbidity Index ≥3 (95.9%), age >60 years (95.2%), hospitalization >5 days (92.5%), nasogastric tube (NGT) insertion (92.1%), prior ICU/HCU admission within 90 days (81.8%), and steroid use >10 mg/day for >14 days (28.6%). These results emphasize that most HAP cases were caused by MDR bacteria, with prior antibiotic use and low albumin as predominant risk factors, necessitating targeted interventions for at-risk populations.
A novel diastolic dysfunction score: A proposed diagnostic predictor for left ventricular dysfunction in obese population Kamelia, Telly; Rumende, Cleopas M.; Makmun, Lukman H.; Timan, Ina S.; Djauzi, Samsuridjal; Prihartono, Joedo; Fardizza, Fauziah; Tabri, Nur A.
Narra J Vol. 5 No. 1 (2025): April 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i1.1564

Abstract

Obesity-related diastolic dysfunction is an emerging contributor to heart failure and cardiovascular mortality. However, effective and accessible diagnostic tools are still limited. Current methods for assessing diastolic dysfunction are often invasive or technologically demanding, making them impractical for routine clinical use and community settings. The aim of this study was to develop a novel, non-invasive scoring system designed to predict diastolic dysfunction in obese adults, addressing this diagnostic gap. This community-based, prospective cross-sectional study was conducted in Jakarta, Indonesia, from March to November 2021, and included 82 participants aged 18 to 60 years, all with a body mass index (BMI) ≥25 kg/m². Patients with acute or critical illnesses, valvular heart diseases, or acute confusional states were excluded. Each participant underwent blood tests, polysomnography, and echocardiography. Of the study population, 80.5% were diagnosed with obstructive sleep apnea (OSA), and 12.2% exhibited diastolic dysfunction, all within the OSA group. The novel scoring system integrates four predictors: oxygen desaturation index (ODI) ≥39 (score 1; prevalence ratio: 4.31 (95% confidence interval (CI): 1.58–11.75)), HbA1C ≥5.95% (score 2; prevalence ratio: 6.32 (95%CI: 2.84–14.06)), pulmonary artery wedge pressure (PAWP) ≥10 mmHg (score 1; prevalence ratio: 5.95 (95%CI: 2.30–15.39)), and global longitudinal strain (GLS) ≥-16.95% (score 1; prevalence ratio: 4.32 (95%CI: 1.87–9.99)). A score of ≥2 predicted diastolic dysfunction with 90% sensitivity, with positive predictive value and negative predictive value of 40.91% and 98.33%, respectively. In conclusion, the diastolic dysfunction score is a simple and practical tool for the early detection of diastolic dysfunction in obese individuals without cardiovascular symptoms.
Designing the CORI score for COVID-19 diagnosis in parallel with deep learning-based imaging models Kamelia, Telly; Zulkarnaien, Benny; Septiyanti, Wita; Afifi, Rahmi; Krisnadhi, Adila; Rumende, Cleopas M.; Wibisono, Ari; Guarddin, Gladhi; Chahyati, Dina; Yunus, Reyhan E.; Pratama, Dhita P.; Rahmawati, Irda N.; Nareswari, Dewi; Falerisya, Maharani; Salsabila, Raissa; Baruna, Bagus DI.; Iriani, Anggraini; Nandipinto, Finny; Wicaksono, Ceva; Sini, Ivan R.
Narra J Vol. 5 No. 2 (2025): August 2025
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v5i2.1606

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has triggered a global health crisis and placed unprecedented strain on healthcare systems, particularly in resource-limited settings where access to RT-PCR testing is often restricted. Alternative diagnostic strategies are therefore critical. Chest X-rays, when integrated with artificial intelligence (AI), offers a promising approach for COVID-19 detection. The aim of this study was to develop an AI-assisted diagnostic model that combines chest X-ray images and clinical data to generate a COVID-19 Risk Index (CORI) Score and to implement a deep learning model based on ResNet architecture. Between April 2020 and July 2021, a multicenter cohort study was conducted across three hospitals in Jakarta, Indonesia, involving 367 participants categorized into three groups: 100 COVID-19 positive, 100 with non-COVID-19 pneumonia, and 100 healthy individuals. Clinical parameters (e.g., fever, cough, oxygen saturation) and laboratory findings (e.g., D-dimer and C-reactive protein levels) were collected alongside chest X-ray images. Both the CORI Score and the ResNet model were trained using this integrated dataset. During internal validation, the ResNet model achieved 91% accuracy, 94% sensitivity, and 92% specificity. In external validation, it correctly identified 82 of 100 COVID-19 cases. The combined use of imaging, clinical, and laboratory data yielded an area under the ROC curve of 0.98 and a sensitivity exceeding 95%. The CORI Score demonstrated strong diagnostic performance, with 96.6% accuracy, 98% sensitivity, 95.4% specificity, a 99.5% negative predictive value, and a 91.1% positive predictive value. Despite limitations—including retrospective data collection, inter-hospital variability, and limited external validation—the ResNet-based AI model and the CORI Score show substantial promise as diagnostic tools for COVID-19, with performance comparable to that of experienced thoracic radiologists in Indonesia.