Effectiveness and Safety of Nebulized Magnesium as Last Line Treatment in Adults with Acute Asthma Attack: A Systematic Review and Meta-Analysis.

BACKGROUND: Asthma is a disease characterized by chronic airway inflammation, however one-third of asthmatic cases did not respond adequately. Inhaled magnesium has been proposed as a treatment for unresponsive asthma cases. However, its role remains controversial. This review evaluates the effectiveness and safety of nebulized magnesium compared to standard therapy (Beta Agonist, Anticholinergic, Corticosteroid) in adults with acute asthma attacks. METHODS: The protocol has been registered in PROSPERO. A literature search was conducted through PubMed/MEDLINE, Cochrane, ProQuest, and Google Scholar, and using the keywords "inhaled magnesium" and "asthma". Manual searches were carried out through data portals. Journal articles included are randomized controlled trials. The assessment risk of bias was performed using Version 2 of the Cochrane risk-of-bias tool for randomized trials. RESULTS: There are five articles included in this review. There is no significant difference in readmission rate and oxygen saturation in the magnesium group compared to control (RR 1; 95% CI 0.92 to 1,08; p= 0,96 and MD 1,82; 95% CI -0.89 to 4.53; p= 0.19, respectively). There is a significant reduction of respiratory rate and clinical severity in magnesium (MD -1,72; 95% CI -3,1 to 0.35; p= 0.01, RR 0.29; 95% CI 0.17 to 0.69; p <0.001, respectively). There was a higher risk of side effects in the magnesium group (HR 1.56; 95%CI 1.05 to 2.32; p= 0.03). However, the side effects are relatively mild such as hypotension and nausea. CONCLUSION: Inhaled magnesium improves the outcome of asthmatic patients, especially in lung function, clinical severity, and respiratory rate. Moreover, inhaled magnesium is safe to be given.

Diagnostic Accuracy of Serum Procalcitonin to Diagnose Sepsis in Advanced Solid Tumor Patients with Fever.

BACKGROUND: Diagnosis of infection in advanced solid tumor patients can be challenging since signs and symptoms might be overlapping due to paraneoplastic condition. Delay diagnosis of existing infection can lead to more severe conditions and increased mortality. Procalcitonin (PCT) has been used to support the diagnosis of bacterial infection and sepsis. Unfortunately, PCT also increases in malignancy even without an infection. We investigated the diagnostic accuracy of PCT in advanced solid tumor patients with fever to diagnose sepsis. METHODS: A cross-sectional study was conducted in solid advanced tumor patients with fever patients who were admitted to Cipto Mangunkusumo Hospitals, Indonesia between June 2016 and April 2018. Sepsis was defined using 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference criteria. The diagnostic accuracy of PCT was determined using the receiver operating characteristic (ROC) curve. RESULTS: A total of 194 subjects were enrolled in this study. 60.3% were female with a mean age of 49.47±12.87 years old. 143 patients (73.7%) with advanced solid tumors. Among this latter group, 39 patients (27%) were sepsis. The ROC curve showed that the levels of PCT for sepsis in advanced solid tumor patients with fever were in the area under the curve (AUC) 0.853 (95%CI 0.785 - 0.921). The Cut-off of PCT in advanced solid tumor patients with fever to classify as sepsis was 2.87 ng/mL, with a sensitivity of 79.5%, and a specificity of 79.8%. CONCLUSION: PCT has good diagnosis accuracy in advanced solid tumor patients with fever to classify as sepsis, however a higher cut-off compared to non-cancerous patients should be used.

Validation of Drug Resistance in Pneumonia (DRIP) Score as Empirical Antibiotic Failure Predictor in Community-Acquired Pneumonia Patients in Cipto Mangunkusumo Hospital.

BACKGROUND: The incidence of CAP due to Drug-Resistant Pathogen (DRP) requires broad-spectrum antibiotic therapy, Drugs Resistance in Pneumonia (DRIP) score can predict these cases. The use of the DRIP score can prevent antibiotic failure and long hospitalization, but validation is needed so that the DRIP score can be used according to the local community at Cipto Mangunkusumo National Central Public Hospital. METHODS: This research is a retrospective cohort study in CAP patients who were hospitalized during the period January 2019 to June 2020. Data were taken from medical records. Failure of empiric antibiotics occurs when one of these criteria is found: patient mortality, ICU transfer, and escalation of antibiotics as well as length of stay. RESULTS: 480 patients met the criteria. There were 331 patients (69%) with a DRIP score of <4 and 149 patients (31%) with a DRIP score of≥4. A total of 283 patients (59%) of antibiotic failures were detailed in 174 patients with a DRIP score <4 and 109 patients DRIP score ≥4. DRIP calibration using the Hosmer-Lemeshow test obtained p-value= 0.667 (p>0.05). AUC observations on the ROC curve obtained 0.651 (95% CI; 0.601-0.700). CONCLUSION: The DRIP score has low accuracy performance and calibration value in predicting empirical antibiotic failure and poor discriminatory value.

Identifying Predictors of Mortality in Sepsis Patients with Malignancy: A Retrospective Cohort Study.

BACKGROUND: Sepsis is a major problem that contributes to a high mortality rate. Its mortality is especially high in patients with malignancy. One study reported that sepsis patients with malignancy have a 2.32 times higher risk of mortality compared to patients without malignancy. For this reason, factors that influence mortality in sepsis patients with malignancy become especially important to provide effective and efficient therapy. This study aims to identify factors that influence mortality in sepsis patients with malignancy. METHODS: This study is a retrospective cohort study using medical records of sepsis patients with malignancy who were treated at Cipto Mangunkusumo Hospital from 2020 to 2022. A bivariate analysis was carried out and followed by a logistic regression analysis on variables with p-value<0.25 on the bivariate analysis. RESULTS: Among the 350 eligible sepsis subjects with malignancy, there was an 82% mortality rate (287 subjects). Bivariate and multivariate analyses revealed significant associations between mortality and both SOFA score (adjusted Odds Ratio of 5.833, 95%CI 3.214-10.587) and ECOG performance status (adjusted Odds Ratio of 3.490, 95%CI 1.690-7.208). CONCLUSION: SOFA score and ECOG performance status are significantly associated with sepsis patient mortality in malignancy cases.

Current Updates on Diagnosis and Management of Cholangiocarcinoma: from Surgery to Targeted Therapy.

Cholangiocarcinoma is commonly described as any malignancy arising from the lining of the bile duct and is recognized as one of the most common biliary malignancies. We conducted a literature review of current available evidences and guidelines.Based on the anatomical location of the origin of the mass, cholangiocarcinoma can be divided into intrahepatic, perihilar, and distal cholangiocarcinoma. Each of these subtypes has their own risk factors, best treatment options, and prognosis. The most common risk factors for cholangiocarcinoma also differs based on geography and population backgrounds. Histopathological biopsy remained the gold standard for cholangiocarcinoma diagnosis, however various advances has been made in diagnostic procedure, including MRCP, EUS, ERCP, EBUS, and cholangioscopy. Surgical resection is still the best treatment modality for cholangiocarcinoma, but it can only be done in few patients considering most patients were diagnosed in the unresectable state. Other treatment options includes conventional chemotherapy, locoregional therapy, systemic targeted therapy, and palliative best supportive care. Cholangiocarcinoma has an abundance of molecular targets and advances in biomolecular technologies bring further hope for future curative treatment options. Treatment options should be chosen individually based on each patient's condition and setting. Cholangiocarcinoma is still a major health problem in hepatobiliary malignancies. Multiple options are available for cholangiocarcinoma treatments.

Effectiveness of Internet-Based Group Supportive Psychotherapy on Psychic and Somatic Symptoms, Neutrophil-Lymphocyte Ratio, and Heart Rate Variability in Post COVID-19 Syndrome Patients.

BACKGROUND: COVID-19 can have serious long term health consequences, which is called Post-COVID-19 Syndrome (PCS). Currently, the available evidence and understanding of PCS management is limited. Because one of the symptoms of PCS is associated to psychological symptoms, psychotherapy is believed to have a role in the management of PCS. This study aimed to identify the effectiveness of supportive psychotherapy in PCS patients at Cipto Mangunkusumo National General Hospital. METHODS: This study was a single blind randomized clinical trial using a pre-and post-test with control group study design. Participants were randomly divided into two groups: a psychotherapy group with 40 participants and an education group with 37 participants. Each group was given internet-based psychotherapy or education three times a week in a form of group consisting of 6-8 participants. Symptom Checklist-90 questionnaire was used to evaluate somatic and psychological symptoms. Heart rate variability and neutrophil lymphocyte ratio were also investigated. Data analysis was performed using the independent T test. RESULTS: An improvement in the SCL-90 score was found to be 17.51 (SD 30.52) in the psychotherapy group and 19.79 (SD 35.10) in the education group, although there was no significant difference between the two groups (p = 0.771). There was no significant difference between the two groups in decreasing NLR (p = 0.178) and improving HRV (p = 0.560). CONCLUSION: Both internet-based group supportive psychotherapy and education improved psychological and somatic symptoms in PCS patients, although there was no significant difference between the two groups. There was no significant difference between the two groups in decreasing NLR and improving HRV. Suggestions for further research regarding adding frequency of internet-based group psychotherapy in PCS patients and held in the morning to achieve more optimal results.

Symptomatic Bradycardia Due to Alectinib in a Patient with Advanced Stage of NSCLC.

Alectinib is one of the targeted therapies commonly given to patients with advanced non-small cell lung cancer (NSCLC) with mutations in the ALK gene. The most common adverse effects of alectinib are fatigue, constipation, edema, myalgia and anemia. Meanwhile, bradycardia was reported as a very common adverse effect, but generally asymptomatic, unlike the reported patient in this case report. This case report's purpose is to increase awareness of the possibility of adverse effects due to alectinib administration that require immediate intervention in order to improve the quality of life and patient survival, especially in patients with advanced NSCLC.

Diagnostic Model of COVID-19 Infection Based on the Combination of Clinical Symptoms, Chest Radiography and Laboratory Test.

BACKGROUND: COVID-19 is an infection caused by SARS-COV 2.For screening the patient, Rapid antigen for COVID-19 is used with a high diagnostic value. However, there are still some cases of false-negative even with clinical symptoms suggesting COVID-19. Undetected COVID-19 patients certainly will increase  transmission. A simple and practical diagnostic model, using determining factors, is required to guide physicians through a quicker decision making process, especially when deciding the need for the isolation rooms for patients with COVID-like symptoms. METHODS: This study is a cross-sectional study. The study was conducted at CiptoMangunkusumo Hospital, Jakarta.History of contact with COVID-19, clinical symptoms, laboratory examination, and chest radiograph data were taken from medical records. Bivariate and multivariate analyses were conducted to assess the effect sizes of patient factors on the diagnostic results.ROCcurve and Hosmer-Lemeshow calibration was used to make the scoring. RESULTS: There were 187 patients with the majority of subjects in the age group < 60 years old. The selected variables in this scoring systemwere contact history,fever/history of fever, dyspnea with respiratory rate >20 breaths/minute, leucocyte ≤ 10.000 cells/mLand typical chest radiography. The area under the curve for this model was 0,777 (CI95% (0,706-0,847), P<0,001). The probability was 82% with a cut-off point ≥ 4. CONCLUSION: Determinant models based on the combination of contact history, presence or history of fever, dyspnea, leucocyte count ≤ 10.000 cells/mL and typical chest radiography provides good accuracy to aid physicians in managing isolation room needs for patients with suspected COVID-19.

Pulmonary Fibrosis Caused by Severe COVID-19 Infection: Discharge May Not Be The End of Treatment.

Since December 2019, COVID-19 caused by SARS-CoV-2 infection has been spread rapidly in the world. Beside acute respiratory distress syndrome found in acute phase of infection, there is also pulmonary fibrosis as a chronic complication due to COVID-19. With the global pandemic of COVID-19, more and more autopsy and puncture histopathological results have been published.Until now there is no specific therapy to handle post-inflammatory pulmonary fibrosis due to COVID-19 infection. Several studies are ongoing to determine an effective treatment for this chronic complication. While ARDS appears to be the main cause of pulmonary fibrosis in COVID-19, the pathogenesis of ARDS caused by SARS-CoV-2 is different from the typical ARDS. Some therapies may be considered for reducing the fibrosis process in lung after COVI-19 infection namely pirfenidone, nintedanib and mesenchymal stem cells. Many patients are still recovering spontaneously in the first six weeks after acute COVID-19 infection and do not generally require fast-track entry into a pulmonary rehabilitation programme. However, those who have significantly persistent respiratory illness may need to be supported by pulmonary rehabilitation. Multidisciplinary intervention based on personalized evaluation and treatment which includes exercise training, education and behavioral modification can be given to improve the physical and psychological condition of patients with post-COVID pulmonary fibrosis.

The Management of Pulmonary Fibrosis in COVID-19.

Pulmonary fibrosis due to COVID-19 is recognized as sequel of ARDS characterized by failed alveolar re-epithelization, fibroblast activation, excessive collagen deposition and other extracellular matrix components that disrupt the normal lung architecture. There are risk factor for pulmonary fibrosis namely advanced age, severe ARDS infection, mechanical ventilation due to ventilator-induced lung injury, smoking and chronic alcoholism. Diagnosis of post-COVID pulmonary fibrosis can be made by clinical symptoms and characteristic finding from lung CT scan. To date, there is no definitive treatment for post-inflammatory pulmonary fibrosis after COVID-19 infection, however some of antifibrotic therapies may be considered. Beside medical treatment, pulmonary rehabilitation program and long-term oxygen treatment should be included as part of comprehensive treatment for pulmonary fibrosis due to COVID-19.

Correlation of Serum Ferritin and Cardiac Iron Toxicity with Cardiac Function in Transfusion Dependent Beta-Thalassemia Major Patients.

BACKGROUND: Cardiac iron toxicity is a major cause of mortality in transfusion-dependent beta-thalassemia major patients. The main modality for detecting cardiac iron toxicity is MRI T2* with limited availability. This study aims to obtain iron toxicity profiles in transfusion-dependent beta-thalassemia patients; to see a correlation between iron toxicity and cardiac function. METHODS: We conducted a cross-sectional study at the Adult Thalassemia Polyclinic of Cipto Mangunkusumo Hospital, Indonesia from December 2017 to March 2018. We performed the statistical analysis using Pearson/Spearman Test comparing MRI T2* values with ejection fraction and E/A ratio. RESULTS: The median of 4-months mean of ferritin levels was 5130 ng/mL. The mean for cardiac T2* was 24.96 ms. Severe cardiac hemosiderosis (mean cardiac MRI T2* < 10 ms)  occurred in 11.3% of the subjects.  There was weak correlation between serum ferritin with cardiac iron toxicity (r=-0.272, p=0.032) and ejection fraction (r=-0.281, p=0.013). But, there was no correlation between cardiac iron toxicity with ejection fraction and E/A ratio. CONCLUSION: Serum ferritin correlated weakly with cardiac iron toxicity and cardiac systolic function. Meanwhile, there was no correlation between cardiac iron toxicity with cardiac systolic and diastolic function.

Prognostic Scoring System for Mortality of Hospitalized COVID-19 Patients in Resource-Limited Settings: A Multicenter Study from COVID-19 Referral Hospitals.

BACKGROUND: Many studies identified the risk factors and prognostic factors related to in-hospital COVID-19 mortality using sophisticated laboratory tests. Cost and the availability of supporting blood tests may be problematic in resource-limited settings. This multicenter cohort study was conducted to assess the factors associated with mortality of COVID-19 patients aged 18 years and older, based on history taking, physical examination, and simple blood tests to be used in resource-limited settings. METHODS: The study was conducted between July 2020 and January 2021 in five COVID-19 referral hospitals in Indonesia. Among 1048 confirmed cases of COVID-19, 160 (15%) died during hospitalization. RESULTS: Multivariate analysis showed eight predictors of in-hospital mortality, namely increased age, chronic kidney disease, chronic obstructive pulmonary disease, fatigue, dyspnea, altered mental status, neutrophil-lymphocyte ratio (NLR) ≥ 5.8, and severe-critical condition. This scoring system had an Area-under-the-curve (AUC) of 84.7%. With cut-off score of 6, the sensitivity was 76.3% and the specificity was 78.2%. CONCLUSION: The result of this practical prognostic scoring system may be a guide to decision making of physicians and help in the education of family members related to the possible outcome.

The Management of Cytokine Storm in COVID-19.

Cytokine storm in COVID-19 infection is an excessive immune response to external stimuli where the pathogenesis is complex. The disease progresses rapidly and the mortality is high. Certain evidence shows that the severe deterioration of some patients has been closely related to the strong upregulation of cytokine production in SARS-Co-V2 induced pneumonia with an associated cytokine storm syndrome. Identification of existing approaved therapy with proven safety profile to treat hyperinflammation is critical unmet need in order to reduce COVID-19 associated mortality. To date, no specific therapeutic drugs are available to treat COVID-19 infection. Preliminary studies have shown that immune-modulatory or immune suppressive treatments might be considered as treatment choices for COVID-19, particularly in severe disease. This article review the pathogenesis and treatment strategies of COVID-19 virus-induced inflammatory storm in attempt to provide valuable medication guidance for clinical treatment.

The Association of Carcinoembryonic Antigen and Cytokeratin-19 Fragments 21-1 Levels with One-Year Survival of Advanced Non-Small Cell Lung Carcinoma at Cipto Mangunkusumo Hospital: A Retrospective Cohort Study.

BACKGROUND: non-small cell lung carcinoma (NSCLC) is the most common type of lung cancer. Therefore, research into its prognostic factor is very important for better patient management. However, there have been no studies looking for the association of CYFRA 21-1 and CEA with survival of NSCLC in Indonesia, and no cut-off value for them as standardized prognostic factors. This study aims to know the association of CEA and CYFRA 21-1 with one-year survival of advanced stage NSCLC in RSCM and determining their cut-off point as a prognostic factor. METHODS: a retrospective cohort study of 111 subjects with advanced stage NSCLC aged > 18 years who were diagnosed from January 2012 to May 2018, resulted in a set of data which includes an initial score of CEA and CYFRA 21-1 at diagnosis, along with their confounding factors, namely performance status (PS), type of histology, therapy, and stadium. All data were taken from the RSCM Medical Record Unit. RESULTS: the CEA area under the curve (AUC) was less than 50% (AUC=0.446) and not significant, whereas AUC CYFRA 21-1=0.741 (0.636-0.847) with p <0.001 was significant in this analysis. CYFRA 21-1 cut-off point was > 10.9 ng / mL with a sensitivity of 69.5% and specificity of 65.5%. The variables that met the proportional hazard assumption were CYFRA 21-1, PS, histology, and therapy. CYFRA 21-1 > 10.9 ng/mL had HR 1.744 (HR=1.744; p=0.028); ECOG 3-4 PS had HR 2.434 (HR=2.434; p=0.026); non-adenocarcinoma histology had HR 1.929 (HR=1.929; p=0.029); and the non-chemotherapy group had HR 2.633 (HR=2.633; p=2.633; p=0.015). CONCLUSION: from both tumour markers, only CYFRA 21-1 was proven to be significant to NSCLC survival. CYFRA 21-1 cut-off value as a prognostic factor was > 10.9 ng/mL.

The Importance of Chest CT Scan in COVID-19.

The coronavirus disease 2019 (COVID-19) is a highly transmissible acute respiratory disease that is caused by the Severe Acute Respiratory Syndrome CoronaVirus-2 (SARS-CoV-2), a beta coronavirus first discovered in Wuhan, China, in late 2019. COVID-19 has been spreading swiftly globally, and as of March 2020, has been officially declared a pandemic by the World Health Organization (WHO). One of the challenges in managing COVID-19 is the identification of a swift, accessible, and reliable diagnostic modality that could serve as an alternative to a reverse-transcriptase polymerase chain reaction (RT-PCR). As of the writing of this paper, RT-PCR is still the recommended tool in diagnosing COVID-19, but the notion of a more prompt and accurate diagnostic tool is a possibility worth looking into. The objective of this case study is to investigate the importance and utility of chest computed tomography (CT) in the diagnosis of COVID-19, as increasing pieces of evidence suggest that chest CT could prove useful in the clinical pathway in diagnosing COVID-19.

Risk Factors for Multidrug-resistant Tuberculosis.

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.

The Benefit of Interferon-Gamma Release Assay for Diagnosis of Extrapulmonary Tuberculosis.

BACKGROUND: there are many researches about IGRA in extrapulmonary Tuberculosis (TB), but there only few data from developing countries. This was the first research about the utility of IGRA in extrapulmonary TB performed in Indonesia as developing country with the 2nd most frequent of TB cases in the world. This study aimed to identify the advantage of IGRA examination in diagnosing extrapulmonary TB. METHODS: eighty-four patients, presumed to have extrapulmonary TB were examined with IGRA and gold standard examination. The gold standard examination was performed by histopathologic examination, and tissue smear for acid-fast bacilli. RESULTS: among 84 patients included in the study, 57 patients were tested positive with gold standard, where 50 patients among them were also tested positive with IGRA. Among 27 patients tested negative with gold standard, IGRA positive was found in 10 patients. Lymphadenitis was the most common manifestation of the extrapulmonary TB. Diagnostic test from IGRA for extrapulmonary TB found as follows: sensitivity 87,71%, specificity 63%, positive predictive value 83,33%, and negative predictive value 70,83%. CONCLUSION: IGRA could be used as supporting tool in the diagnosis of extrapulmonary TB. The negative result, however, does not indicate absence of TB infection.

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

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.

Risk factors for early invasive fungal disease in critically ill patients.

BACKGROUND: The incidence of invasive fungal disease (IFD) is increasing worldwide in the past two to three decades. Critically ill patients in Intensive Care Units are more vulnerable to fungal infection. Early detection and treatment are important to decrease morbidity and mortality in critically ill patients. OBJECTIVE: Our study aimed to assess factors associated with early IFD in critically ill patients. MATERIALS AND METHODS: This prospective cohort study was conducted in critically ill patients, from March to September 2015. Total number of patients (74) in this study was drawn based on one of the risk factors (human immunodeficiency virus). Specimens were collected on day 5-7 of hospitalization. Multivariate analysis with logistic regression was performed for factors, with P < 0.25 in bivariate analysis. RESULTS: Two hundred and six patients were enrolled in this study. Seventy-four patients were with IFD, majority were males (52.7%), mean age was 58 years (range 18-79), mean Leon's score was 3 (score range 2-5), majority group was nonsurgical/nontrauma (72.9%), and mean fungal isolation was positive on day 5. Candida sp. (92.2%) is the most frquently isolated fungal infection. Urine culture yielded the highest number of fungal isolates (70.1%). Mortality rate in this study was 50%. In multivariate analysis, diabetes mellitus (DM) (P = 0.018, odds ratio 2.078, 95% confidence interval 1.135-3.803) was found as an independent factor associated with early IFD critically ill patients. CONCLUSION: DM is a significant factor for the incidence of early IFD in critically ill patients.

Comparison of the Discrimination Performance of AI Scoring and the Brixia Score in Predicting COVID-19 Severity on Chest X-Ray Imaging: Diagnostic Accuracy Study.

BACKGROUND: The artificial intelligence (AI) analysis of chest x-rays can increase the precision of binary COVID-19 diagnosis. However, it is unknown if AI-based chest x-rays can predict who will develop severe COVID-19, especially in low- and middle-income countries. OBJECTIVE: The study aims to compare the performance of human radiologist Brixia scores versus 2 AI scoring systems in predicting the severity of COVID-19 pneumonia. METHODS: We performed a cross-sectional study of 300 patients suspected with and with confirmed COVID-19 infection in Jakarta, Indonesia. A total of 2 AI scores were generated using CAD4COVID x-ray software. RESULTS: The AI probability score had slightly lower discrimination (area under the curve [AUC] 0.787, 95% CI 0.722-0.852). The AI score for the affected lung area (AUC 0.857, 95% CI 0.809-0.905) was almost as good as the human Brixia score (AUC 0.863, 95% CI 0.818-0.908). CONCLUSIONS: The AI score for the affected lung area and the human radiologist Brixia score had similar and good discrimination performance in predicting COVID-19 severity. Our study demonstrated that using AI-based diagnostic tools is possible, even in low-resource settings. However, before it is widely adopted in daily practice, more studies with a larger scale and that are prospective in nature are needed to confirm our findings.