BACKGROUND/OBJECTIVES: Malnutrition during hospitalization is linked to increased morbidity and mortality, but there are insufficient studies observing clinical factors contributing to weight loss during hospitalization in Indonesia. This study was therefore undertaken to determine the rate of weight loss during hospitalization and the contributing factors. SUBJECTS/METHODS: This was a prospective study involving hospitalized adult patients aged 18–59 yrs, conducted between July and September 2019. Body weight measurement was taken at the time of admission and on the last day of hospitalization. The factors studied were malnutrition at admission (body mass index < 18.5 kg/m2 ), immobilization, depression (Beck Depression Inventory-II Indonesia), polypharmacy, inflammatory status (neutrophil-lymphocytes ratio;NLR), comorbidity status (Charlson Comorbidity Index; CCI), and length of stay. RESULTS: Totally, 55 patients were included in the final analysis, with a median age of 39 (18-59 yrs) yrs. Of these, 27% had malnutrition at admission, 31% had a CCI score > 2, and 26% had an NLR value of ≥ 9. In all, 62% presented with gastrointestinal symptoms, and depression was documented in one-third of the subjects at admission. Overall, we recorded a mean weight loss of 0.41 kg (P = 0.038) during hospitalization, with significant weight loss observed among patients hospitalized for 7 days or more (P = 0.009). The bivariate analysis revealed that inflammatory status (P = 0.016) was associated with in-hospital weight loss, while the multivariate analysis determined that the contributing factors were length of stay (P < 0.001) and depression (P = 0.019). CONCLUSIONS We found that inflammatory status of the patient might influence the incidence of weight loss during hospitalization, while depression and length of stay were independent predictors of weight loss during hospitalization.

BACKGROUND: Mean age of patients with valves diseases is significantly increasing, and, in the near future, cardiac surgeons will have to deal with a considerable number of patients aged more than 80 years. The remarkable results gained by the minimally invasive approach have encouraged its application in more complex and fragile patients, such as older people. This study aimed to identify the rate of early mortality and major complications, and independent predictors for mid-term mortality in octogenarians undergoing minimally invasive valve surgery. METHODS: Octogenarian patients undergoing right mini-thoracotomy mitral and/or tricuspid valve surgery between 2006 and 2020 were included. Primary endpoint was to identify independent predictors for mid-term mortality, and secondary endpoints were operative morality, stroke, independent predictors for early composite outcome, and quality of life at follow-up. RESULTS: Analysis was performed on 130 patients. Stroke occurred in one patient (0.8%), while operative mortality was 6% (eight patients). One-year and five-year survival were 86% and 64%, respectively. Logistic regression identified age and creatinine level as independent predictors of mid-term mortality, survival analysis showed that age ≥ 84 years and creatinine level ≥ 1.22 mg/dL were the cut-off points for worst prognosis. Female gender and hypertension were found to be independent predictors of early composite outcome. CONCLUSIONS Results of the present study show that age alone should not be considered a contraindication for minimally invasive valve surgery. Identifying patients who are most likely to have survival and functional benefits after surgery is decisive to achieve optimal health outcomes and prevent futile procedures.

Introduction: The increasing incidence of stroke in young adults has been a growing concern, which is why research studies were generated to find out the risk factors contributing to the development of this disease. This study investigated the dose-dependent effect of smoking in the development of stroke in the young ages (19-45 years). Methods: A case-control retrospective study was conducted using electronic and printed records of the patients admitted to Amang Rodriguez Memorial Medical Center last 2017-2018. There were 275 patients included in the study. The smoking status and pack-years cigarette smoking of the subjects were recorded and were correlated with the duration of hospitalization and the Modified Rankin Scale (MRS). Results were analyzed using student’s t-test, ANOVA, and Pearson’s Correlation. Result: The prevalence of stroke was higher in men than in women. The ORs (95% CI) of stroke were significant in current cigarette smoking at 2.71 (CI: 1.6398 to 4.4943). Compared with non-smokers and those who smoked 1 to 9 pack years, the OR of stroke was significantly increased for those who smoked 10 to 19, and ≥ 20 cigarettes per day with OR of 14.0765 (4.10 to 48.35), and 31.5854 (1.82 to 548.97), respectively (p= 0.032 for linear trends). There was a weak positive linear correlation between pack years of cigarette smoking (1-9, 10-19, >20 pack years) and days of hospitalization (r= 0.28; p for trend = 0.0168). There was also a strong positive linear correlation between stroke outcome using the Modified Rankin Scale and pack years of cigarette smoking (r = 0.72; P for trend = 0.001). This study shows an increase in the odds of stroke in current cigarette smokers with a dose-dependent relationship in its outcome. Conclusion Smoking is a significant risk factor for stroke with a dose-dependent effect on its outcome. Furthermore, quitting smoking significantly decreases the risk of developing stroke.
Stroke ; Case-Control ; Retrospective

Purpose: In the present study, meningococcal serogroup B outer membrane vesicles (OMVs) were associated with bilayer fragments of a cationic lipid, dioctadecyldimethylammonium (DDA-BF), used as adjuvant, in an antigenic preparation tested in adult female outbred mice. This adjuvant was compared to the traditional adjuvant aluminum hydroxide. Materials and Methods: The potential in generating humoral response was evaluated by enzyme-linked immunosorbent assay (ELISA). Individual serum was collected and immunoglobulin G (IgG), IgG1, IgG2a, and IgG2b were quantified. Analyses were carried out 15 and 60 days after immunization. Antibodies avidity index were also analyzed by ELISA. Immunoblot and dot-ELISA were carried out to evaluate specific reaction for homologous strains and cross-reactive antigens present in other meningococcal strains isolated in 2011–2012 year, in Brazil. Delayed type hypersensitivity was used as indicative of cellular immunity and compared between two experimental groups, 24 hours after homologous strain challenge. Results: The OMVs of Neisseria meningitidis, and N. lactamica (related species) were characterized by electrophoretic separation of proteins in 13% polyacrylamide gel. The strains presented antigens in the range of 8 to 130 kDa, showing a heterogeneous protein migration pattern. In the group immunized with OMVs/DDA-BF, we found no significant production of total IgG 15 days after the first immunization. On the other hand, 60 days after first immunization both adjuvants act benefiting total IgG production similarly. The antibodies of the IgG isotype produced by animals immunized after one or two doses after first immunization, showed intermediate and high avidity, independent on the adjuvant used. In both experimental groups the swelling of the footpads was significantly higher than those of the controls, suggesting that only one dose was enough to stimulate the generation of cellular immunity. Conclusion The use of this cationic adjuvant for N. meningitidis OMVs preparation revealed good potential for future new antigen preparation for N. meningitidis vaccine.

Automatic document classification for highly interrelated classes is a demanding task that becomes more challenging when there is little labeled data for training. Such is the case of the coronavirus disease 2019 (COVID-19) Clinical repository—a repository of classified and translated academic articles related to COVID-19 and relevant to the clinical practice—where a 3-way classification scheme is being applied to COVID-19 literature. During the 7th Biomedical Linked Annotation Hackathon (BLAH7) hackathon, we performed experiments to explore the use of named-entity-recognition (NER) to improve the classification. We processed the literature with OntoGene’s Biomedical Entity Recogniser (OGER) and used the resulting identified Named Entities (NE) and their links to major biological databases as extra input features for the classifier. We compared the results with a baseline model without the OGER extracted features. In these proof-of-concept experiments, we observed a clear gain on COVID-19 literature classification. In particular, NE’s origin was useful to classify document types and NE’s type for clinical specialties. Due to the limitations of the small dataset, we can only conclude that our results suggests that NER would benefit this classification task. In order to accurately estimate this benefit, further experiments with a larger dataset would be needed.

Managing liver cirrhosis in clinical practice is still a challenging problem as its progression is associated with serious complications, such as variceal bleeding that may increase mortality. Portal hypertension (PH) is the main key for the development of liver cirrhosis complications. Portal pressure above 10 mmHg, termed as clinically significant portal hypertension, is associated with formation of varices; meanwhile, portal pressure above 12 mmHg is associated with variceal bleeding. Hepatic vein pressure gradient measurement and esophagogastroduodenoscopy remain the gold standard for assessing portal pressure and detecting varices. Recently, non-invasive methods have been studied for evaluation of portal pressure and varices detection in liver cirrhotic patients. Various guidelines have been published for clinicians’ guidance in the management of esophagogastric varices which aims to prevent development of varices, acute variceal bleeding, and variceal rebleeding. This writing provides a comprehensive review on development of PH and varices in liver cirrhosis patients and its management based on current international guidelines and real experience in Indonesia.

Dependency parsing is often used as a component in many text analysis pipelines. However, performance, especially in specialized domains, suffers from the presence of complex terminology. Our hypothesis is that including named entity annotations can improve the speed and quality of dependency parses. As part of BLAH5, we built a web service delivering improved dependency parses by taking into account named entity annotations obtained by third party services. Our evaluation shows improved results and better speed.
Natural Language Processing