33 research outputs found

    Risk Factors for Multidrug-resistant Tuberculosis

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    In 2015, 10.4 million people developed tuberculosis (TB) and 580,000 amongst them suffered from multidrug-resistant TB (MDR-TB). From those 580,000 cases of MDR-TB, only 125,000 were detected and reported. A total of 111,000 people began to receive MDR-TB treatment in 2014 while 190,000 MDR-TB patients were estimated to have died, largely due to lack of access to effective treatment. The mechanism of drug resistance can be caused by genetic factors, factors related to previous treatment and other factors such as comorbidity with diabetes mellitus. Although there is some evidence which postulate host genetic predisposition is the basis for the development of MDR-TB, changes in the genomic content is the major underlying event in the emergence of variants strains in the M. tuberculosis complex. Spontaneous chromosomally-borne mutation occurring in M. tuberculosis at predictable rates are thought to confer resistance to anti-TB drugs. Factors related to previous anti-tuberculosis treatments consists of incomplete or inadequate treatment and also poor treatment adherence. A review of the published literature strongly suggest that the most powerful predictor for the presence of MDR-TB is a history of TB treatment. Many new cases of MDR-TB are created by physician’s errors related to drugs regimen, dosing interval and duration of treatment. Multidrug-resistance TB developed due to error in TB management in the past such as initiation of an inadequat regimen using first line anti-TB drugs, the addition of single drug to a failing regimen, the failure to identify pre-existing resistance and variations in bioavailability of anti-TB drugs that predispose the patient to the development of MDR-TB. Non-adherence to prescribed treatment is often underestimated by physicians and difficult to predict. Certain factors such as psychiatric illness, alcoholism, drug additiction and homelessness can predict non-adherence to treatment. Poor compliance with the treatment is also an important factor in the development of acquired drug resistance.Diabetes mellitus has been a well-known risk factor for TB in the past. The global convergence of the accelerating type 2 DM pandemic, high TB prevalence and drug-resistant TB during the past couple of decades has become a serious challenge to clinicians worldwide. Over the past few years, some studies have shown that the treatment failure rate is higher in TB patients with DM as comorbidity. Moreover, there is significant association between DM an MDR-TB. There is higher chance of TB bacilli persistence to be present in sputum of pulmonary TB patient with DM than TB-only patient after 5 months treatment, and this persistence made it necessary for more longer treatment. Presence of DM in TB patients cause a longer period for sputum conversion, therefore it may become a major cause of poor treatment outcome in TB patients. Previous studies showed that a major mechanism for the emergence of drugs resistance in TB bacilli is random mutation in the bacterial genome and the pressure of selection by anti-TB drugs. Pulmonary TB in diabetic patients usually show higher mycobacterial loads at the initiation of treatment, hence they may have higher chance of bacillary mutation and the emergence of MDR-TB with the presenting of higher bacterial loads, longer treatment is needed to clear the bacteria. Therefore, it is not suprising that a higher chance of MDR-TB patients could be find in those patients. A pharmacokinetic study noted that plasma levels of rifampicin were 53% lower in TB patients with diabetes, which might affect treatment outcomes. Inadequate immune respons of the host may also be important in this negative effect of diabetes. Depressed production of IFN-γ in diabetic patients is related to decreasing immune response to TB infection. Reduction of IL-12 response to mycobacterial stimulation in leukocytes from TB with diabetic patients suggest a compromise of innate immune response

    Prevalence and Profile of Fibrosis in Diabetic Patients with Non-alcoholic Fatty Liver Disease and the Associated Factors

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    Background: the risk of Non-Alcoholic Fatty Liver Disease (NAFLD) is increasing in patients with type-2 diabetes. Prevalence and factors related to the increased risk of NAFLD in diabetic patients in Indonesia has never been studied before. Data regarding the profile of fibrosis in the population has also been unknown. This study aimed to identify the difference on the profile of diabetic patients with and without NAFLD as well as the degree of fibrosis. Methods: the study was conducted using a cross-sectional method in type-2 diabetic patients who were treated at the outpatient clinic of endocrinology and metabolic division in Cipto Mangunkusumo Hospital. Sampling was done consecutively. Collected data comprised of age, duration of diabetes, body mass index (BMI), waist circumference, HDL, triglyceride, and HbA1C levels. Abdominal ultrasonography was conducted for all patients to determine the presence of NAFLD. Patients with NAFLD were subsequently underwent transient elastography in order to assess their degree of liver fibrosis. Chi-square or Fisher’s-Exact tests were used for bivariate analysis and logistic regression was used for multivariate analysis. Results: as many as 186 patients were analyzed in the study and 84 patients (45.2%) were demonstrated to have NAFLD. Transient elastography examinations were carried out in 68 patients and 17 patients (25.0%) were found with severe fibrosis. Univariate analysis showed significant differences on BMI (PR=1.878; 95%CI= 1.296-2.721; p<0.001) and waist circumference (PR=2.368; 95%CI= 1.117-5.017; p=0.018) between patients with and without NAFLD. However, the multivariate test showed that BMI was the only factor that had a significance difference between both groups (OR=2.989; 95%CI=1.625-5.499; p<0.001). Conclusion: prevalence of NAFLD among type-2 diabetic patients in Cipto Mangunkusumo Hospital has reached 45.2% and 25.0% among them had severe fibrosis. BMI is the only factor found to be associated with the occurrence of NAFLD

    Correlation of Forced Expiratory Volume in 1 Second Prediction with Mean Pulmonary Arterial Pressure Using Echocardiography in Stable Chronic Obstructive Pulmonary Disease

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    Introduction. Pulmonary hypertension is the most common complication of chronic obstructive pulmonary disease (COPD). Mortality rate will increase when COPD complication with pulmonary hypertension. Right heart catheterization (RHC) is the most common tool to measure mean pulmonary arterial pressure (mPAP) either in COPD patients with exacerbations treated in intensive care unit. Data of pulmonary hypertension in stable COPD group is still relatively rare. Alternatively to RHC, nowadays echocardiography is used to measure mean pulmonary arterial pressure in stable COPD group. Methods. A cross-sectional study was conducted on fifty-eight stable male COPD patients (mean age: 67,6) underwent spirometry. Mean pulmonary arterial pressure was measured using transthoracic echocardiography at short axis view in aortic level. Results. Mean value of forced expiratory volume in 1 second (FEV1)% was 26,6 % (SD 4,7) with median value of mean pulmonary arterial pressure was 37,61 mmHg (range 18,3-59). As many as 74% subjects were pulmonary hypertension; 24 % mild, 31 % moderate and 19% severe respectively. The correlation test showed a significant strong-negative correlation (r = -0,948, p <0,001). The best cut-off point of FEV1% prediction, which had a clinical value correlated with mPAP, was 55,3% with the sensitivity 93 %. Conclusions. Forced expiratory volume in one second (FEV1)% prediction has a significant correlation with mean pulmonary arterial pressure in stable COPD patients. The cut-off point FEV1% prediction 55,3% has a good capability to discriminate pulmonary hypertension in stable COPD patient

    Predictors of Mortality in Hospitalized HIV/AIDS Patients

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    Introduction. Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS) is a big problem that threatening in Indonesia and many countries in the world. The knowledge on the characteristics and prediction of outcome were important for patients management. There are no studies on the predictors of mortality in Indonesia. Methods. We performed a retrospective cohort study among hospitalized patients with HIV/AIDS in Cipto Mangunkusumo Hospital between 2011-2013. Datas on clinical, laboratory measurement, outcome (mortality) and causes of death during hospitalization were gathered from medical records. Bivariate analysis using Chi- Square test were used to evaluate seven prognostic factors (male sex, not came from referral hospital, never received/failed to continue antiretroviral therapy (ART), clinical WHO stage 4, hemoglobin level <10 g/dL, eGFR level <60 mL/min/1.73 m2 and CD4+ count ≤200 cell/μL). Multivariate logistic regression analysis was performed to identify independent predictors of mortality. Results. Among 606 hospitalized HIV/AIDS patients (median age 32 years; 64.2% males), 122 (20.1%) were newly diagnosed with HIV infection during the hospitalization and 251 (41.5%) had previously received ART. Median length of stay was 11 (range 2 to 75) days. There were 425 (70.1%) patients being hospitalized due to opportunistic infection. In-hospital mortality rate was 23.4% with majority (92.3%) due to AIDS related illnesses. The independent predictors of mortality in multivariate analysis were clinical WHO stage 4 (OR=6.440; 95% CI 3.701-11.203), hemoglobin level <10 g/dL (OR=1.542; 95% CI 1.015- 2.343) and eGFR level <60 mL/min/1.73 m2 (OR=3.414; 95% CI 1.821-6.402). Conclusions. In-hospital mortality rate was 23.4%. Clinical WHO stage 4, hemoglobin level <10 g/dL and eGFR level <60 mL/ min/1.73 m2 were the independent predictors of in-hospital mortality among hospitalized patients with HIV/AIDS

    Correlation Of Clinical Disease Activity Index And Disease Activity Score-28 in Indonesian Rheumatoid Arthritis Patients

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    Background:Clinical Disease Activity Index (CDAI) stands out amongst other methods in measuring disease activity of rheumatoid arthritis (RA) patient. CDAI is considered to be more practical and cost-effective in daily practice because it requires no laboratoryexamination. Previous studies conducted overseas revealed that CDAI has good correlation compared to other scoring index in measuring RA disease activity. However, those studies only included pure RA patients without any comorbidity diseases. Indonesian RA patients have distinct clinical profile, in terms of comorbidity conditions, and genetic predisposition which affect the fenotype of the disease.Objectives: Analyze correlation between CDAI compared to Disease Activity Score 28 CRP (DAS28- CRP) in measuring RA disease activity of RA patients in Indonesia.Methods: We conducted a cross sectional study to RA patients who visited rheumatology clinic at Cipto Mangunkusumo general hospital from April to May 2016. Data collected included history of illness, physical examination, and recent laboratory results. All data were documented in reseach’s form. Both CDAI and DAS28- CRP were measured in each patient by two observers. Correlation analysis between two numeric datas fromCDAI and DAS28-CRP were measured with Spearman’s Rho. Overall performance was analyzed as additional results using R2 index.Result: A total of 119 subjects were included in this study. All subjects were RA patients with comorbidities and were representing quite numbers of Indonesian races characteristic profile. Spearman’s Rho = 0,918 and R2 index =0,831 (83,1%).Conclusion: There is positive correlation result between outcome of CDAI and outcome of DAS28-CRP in assesing disease activity of Indonesian RA patients.Key Word: rheumatoid arthritis, Indonesia, correlation,Clinical Disease Activity Index

    Serologic and Urine Diagnostic Tests to Detect Helicobacter pylori Infection in Functional Dyspepsia Patients

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    Background: Dyspepsia is a collection of symptoms in the forms of discomfort, pain, nausea, vomiting, bloating, and early satiety in the stomach. This condition can be caused by various problems; one of them is Helicobacter pylori infection. Dyspepsia without organic problem is known as functional dyspepsia. H. pylori examination is recommended in functional dyspepsia patients.Method: In this study, we performed a diagnostic test study in dyspepsia patients in Community Health Centre of Koja District, North Jakarta, from February to April 2015. Samples were obtained through consecutive sampling method; 74 patients were included. The data was gathered by distributing questionnaires to patients, performing urea breath test (UBT) examination, serologic test, and urine test using rapid urine test (RAPIRUN). Results: Prevalence of H. pylori infection by using UBT examination reached up to 36.5%; meanwhile serologic and RAPIRUN tests showed positive results in 32.4% and 24.3% patients, respectively. Serologic test has sensitivity of 74% (95% CI: 55-87%), specificity 91% (95% CI: 80-97%), positive predictive value (PPV) 83% (95% CI: 64-93%), and negative predictive value (NPV) 86% (95% CI: 74-93%). Meanwhile, RAPIRUN has sensitivity of 63% (95% CI: 44-78%), specificity 98% (95% CI: 89-100%), PPV 94% (95% CI: 74-99%), and NPV 82% (95% CI: 70-90%).Conclusion: Sensitivity of serologic and RAPIRUN tests are still inadequate to be alternative to UBT examination. However, they have high specificity. Further studies are required with larger sample size and consideration of factors which may influence the results of both tests

    Comparison of Chemotherapy Regiments between Cisplatin Etoposide and Cisplatin-Docetaxel on 2-Year and Progression-Free Survival in Late-Stage Non-Small Cell Lung Cancer Patients

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    Introduction. Chemotherapy is one of therapy choices for the advanced Non-Small Cell Lung Cancer (NSCLC). The success in therapy is measured with the 1-year survival, 2-year survival and the Progression Free Survival (PFS). The success is influenced by many factors: resistant to the citostatic, dosage, administer intensity, chemotherapy regiment, type histology, stage, performance status, comorbidity and social economic. In Indonesia, funding and chemotherapy regiment become the challenge for the success of therapy. Methods. The study used the Retrospective Cohort study with survival analysis. The Patients included in this study were the advanced NSC Lung Cancer (At least Stadium IIIa) who came to RSKD and RSCM during Jan 2006 – December 2010 for their first chemotherapy until finished the cycle (6 times) and had monitored for 2 years. Data was analyzed using cox regression analysis SPSS 16.0, and featured on the Kaplan Meier Curve. Results. Fifty five patients used EC and the other 55 patients used DC. There’s difference on survival where 1 year survival EC is 30,9% and DC is 47,3%, with p 0.030. Two year survival CE is 0% and for DC is 5.5%, with p 0.003. Also with the Median time survival between EC for 27 weeks and DC for 38 weeks with p < 0.016. Compared to DC, EC chemotherapy can increase the death risk by HR 1,684 (CI 95% 1,010-2,810), twenty four weeks PFS with EC is 54.5%, DC is 32.7% with p= 0.022. Conclusions. The survival with cisplatin-docexatel is better compared to cisplatin-etoposide, this applies to PFS as well

    Validation of A2DS2 Score as Predictor of Pneumonia among Patients Hospitalized for Acute Ischemic Stroke

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    Introduction. Pneumonia is the leading cause of morbidity and mortality in acute ischemic stroke patients admitted to hospital. Thus required a valid scoring system which is easy to apply, to predict and stratify the risk of pneumonia in patients with acute ischemic stroke. This study aimed to assess the performance of calibration and discrimination of A2DS2 score in predicting the incidence of pneumonia in patients with acute ischemic stroke. Methods. A retrospective cohort study was conducted among adult acute ischemic stroke patients who are hospitalized in Cipto Mangunkusumo Hospital, Jakarta. Age, atrial fibrillation, dysphagia, sex (male), and stroke severity (rated with National Institute of Health Stroke Scale/NIHSS) were obtained at the beginning of admission. The subjects were followed up for up to seven days after the onset of ischemic stroke to assess the outcome (pneumonia). Calibration properties of the A2DS2 score were assessed by Hosmer-Lemeshow test and calibration plot. Discrimination properties of the A2DS2 score were assessed by the area under the curve (AUC). Results. A total of 281 subjects were followed up. The incidence of pneumonia in acute ischemic stroke patients was observed in 118 patients (42%). Hosmer Lemeshow test of A2DS2 score showed p = 0,222 and calibration plot showed r = 0,982. Discrimination of A2DS2 score was shown by the AUC value of 0,885 (95% CI 0,845-0,924). Conclusion. The A2DS2 score has a good calibration and discrimination performance in predicting the incidence of pneumonia in patients with acute ischemic stroke

    Correlation Between the Severity of Coronary Heart Disease and QT Dispersion in Patients with Obstructive Sleep Apnea

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    Introduction. Coronary heart disease (CHD) and obstructive sleep apnea (OSA) are common and complex clinical problems. Both have a high risk of sudden cardiac death (SCD). QT dispersion (QTd) in electrogram is a measure of heterogeneity of myocardial repolarization that can predict the occurrence of ventricular arrhythmias that cause SCD QTd is a predictor of ventricular arrhythmias and sudden cardiac death. So far, there is no publication about the severity relationship CHD with QTd in OSA patients in Indonesia. Methods. A cross-sectional study was conducted on twenty-nine CHD patients accompanied OSA in 2015 who had undergone coronary angiography and polysomnography against the QT dispersion by electrocardiography in Cipto Mangunkusumo Hospital, Jakarta. QTd obtained from maximum QTc difference with minimum QTc. The severity of CHD was assessed by the Gensini score obtained from the recording of coronary angiography in the cath lab. Results. The median value of Gensini score was 10 (range 1-112). Mean value of QTc max and QTc min were 459.76 ms (standard deviation [SD] 41.39 ms) and 386.72 ms (SD 31.61), respectively. Meanwhile, the median value of QTd was 56 ms (range 14-201 ms). The Spearman correlation test showed a weak positive correlation between Gensini score and QTd (r = 0.464; p value = 0.006). Conclusion. The severity of coronary heart disease by Gensini score is weakly correlated with QT dispersion
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