Clinical characteristics of influenza with or without Streptococcus pneumoniae co-infection in children.

BACKGROUND/PURPOSE: Influenza is frequently complicated with bacterial co-infection. This study aimed to disclose the significance of Streptococcus pneumoniae co-infection in children with influenza. METHODS: We retrospectively reviewed medical records of pediatric patients hospitalized for influenza with or without pneumococcal co-infection at the National Taiwan University Hospital from 2007 to 2019. Clinical characteristics and outcomes were compared between patients with and without S. pneumoniae co-infection. RESULTS: There were 558 children hospitalized for influenza: 494 had influenza alone whereas 64 had S. pneumoniae co-infection. Patients with S. pneumoniae co-infection had older ages, lower SpO2, higher C-Reactive Protein (CRP), lower serum sodium, lower platelet counts, more chest radiograph findings of patch and consolidation on admission, longer hospitalization, more intensive care, longer intensive care unit (ICU) stay, more mechanical ventilation, more inotropes/vasopressors use, more surgical interventions including video-assisted thoracoscopic surgery (VATS) and extracorporeal membrane oxygenation (ECMO), and higher case-fatality rate. CONCLUSION: Compared to influenza alone, patients with S. pneumoniae co-infection had more morbidities and mortalities. Pneumococcal co-infection is considered when influenza patients have lower SpO2, lower platelet counts, higher CRP, lower serum sodium, and more radiographic patches and consolidations on admission.

RSV pneumonia with or without bacterial co-infection among healthy children.

BACKGROUND: Respiratory syncytial virus (RSV) is a common cause of childhood pneumonia, but there is limited understanding of whether bacterial co-infections affect clinical severity. METHODS: We conducted a retrospective cohort study at National Taiwan University Hospital from 2010 to 2019 to compare clinical characteristics and outcomes between RSV with and without bacterial co-infection in children without underlying diseases, including length of hospital stay, intensive care unit (ICU) admission, ventilator use, and death. RESULTS: Among 620 inpatients with RSV pneumonia, the median age was 1.33 months (interquartile range, 0.67-2 years); 239 (38.6%) under 1 year old; 366 (59.0%) males; 201 (32.4%) co-infected with bacteria. The three most common bacteria are Streptococcus pneumoniae, Staphylococcus aureus and Haemophilus influenzae. The annually seasonal analysis showed that spring and autumn were peak seasons, and September was the peak month. Compared with single RSV infection, children with bacterial co-infection were younger (p = 0.021), had longer hospital stay (p < 0.001), needed more ICU care (p = 0.02), had higher levels of C-reactive protein (p = 0.009) and more frequent hyponatremia (p = 0.013). Overall, younger age, bacterial co-infection (especially S. aureus), thrombocytosis, and lower hemoglobin level were associated with the risk of requiring ICU care. CONCLUSION: RSV related bacterial co-infections were not uncommon and assoicated with ICU admission, especially for young children, and more attention should be given. For empirical antibacterial treatment, high-dose amoxicillin-clavulanic acid or ampicillin-sulbactam was recommended for non-severe cases; vancomycin and third-generation cephalosporins were suggested for critically ill patients requiring ICU care.

Clinical characteristics of recurrent pneumonia in children with or without underlying diseases.

BACKGROUND: Recurrent pneumonia is uncommon in children and few studies investigate the clinical impact of underlying diseases on this issue. This study aimed to explore the difference in clinical manifestations, pathogens, and prognosis of recurrent pneumonia in children with or without underlying diseases. METHODS: We conducted a retrospective study of pediatric recurrent pneumonia from 2007 to 2019 in National Taiwan University Hospital. Patients under the age of 18 who had two or more episodes of pneumonia in a year were included, and the minimum interval of two pneumonia episodes was more than one month. Aspiration pneumonia was excluded. Demographic and clinical characteristics of patients were collected and compared. RESULTS: Among 8508 children with pneumonia, 802 (9.4%) of them had recurrent pneumonia. Among these 802 patients, 655 (81.7%) had underlying diseases including neurological disorders (N = 252, 38.5%), allergy (N = 211, 32.2%), and cardiovascular diseases (N = 193, 29.5%). Children without underlying diseases had more viral bronchopneumonia (p < 0.001). Children with underlying diseases were more likely to acquire Staphylococcus aureus (p = 0.001), and gram-negative bacteriae, more pneumonia episodes (3 vs 2, p < 0.001), a longer hospital stay (median: 7 vs. 4 days, p < 0.001), a higher ICU rate (28.8% vs 3.59%, p < 0.001), and a higher case-fatality rate (5.19% vs 0%, p < 0.001) than those without underlying diseases. CONCLUSION: Children with underlying diseases, prone to have recurrent pneumonia and more susceptible to resistant microorganisms, had more severe diseases and poorer clinical outcomes. Therefore, more attention may be paid on clinical severity and the therapeutic plan.

Machine learning models to evaluate mortality in pediatric patients with pneumonia in the intensive care unit.

OBJECTIVES: This study aimed to predict mortality in children with pneumonia who were admitted to the intensive care unit (ICU) to aid decision-making. STUDY DESIGN: Retrospective cohort study conducted at a single tertiary hospital. PATIENTS: This study included children who were admitted to the pediatric ICU at the National Taiwan University Hospital between 2010 and 2019 due to pneumonia. METHODOLOGY: Two prediction models were developed using tree-structured machine learning algorithms. The primary outcomes were ICU mortality and 24-h ICU mortality. A total of 33 features, including demographics, underlying diseases, vital signs, and laboratory data, were collected from the electronic health records. The machine learning models were constructed using the development data set, and performance matrices were computed using the holdout test data set. RESULTS: A total of 1231 ICU admissions of children with pneumonia were included in the final cohort. The area under the receiver operating characteristic curves (AUROCs) of the ICU mortality model and 24-h ICU mortality models was 0.80 (95% confidence interval [CI], 0.69-0.91) and 0.92 (95% CI, 0.86-0.92), respectively. Based on feature importance, the model developed in this study tended to predict increased mortality for the subsequent 24 h if a reduction in the blood pressure, peripheral capillary oxygen saturation (SpO2), or higher partial pressure of carbon dioxide (PCO2) were observed. CONCLUSIONS: This study demonstrated that the machine learning models for predicting ICU mortality and 24-h ICU mortality in children with pneumonia have the potential to support decision-making, especially in resource-limited settings.

Clinical characteristics of hospitalized children with community-acquired pneumonia and respiratory infections: Using machine learning approaches to support pathogen prediction at admission.

BACKGROUND: Acute respiratory infections (ARIs) are common in children. We developed machine learning models to predict pediatric ARI pathogens at admission. METHODS: We included hospitalized children with respiratory infections between 2010 and 2018. Clinical features were collected within 24 h of admission to construct models. The outcome of interest was the prediction of 6 common respiratory pathogens, including adenovirus, influenza virus types A and B, parainfluenza virus (PIV), respiratory syncytial virus (RSV), and Mycoplasma pneumoniae (MP). Model performance was estimated using area under the receiver operating characteristic curve (AUROC). Feature importance was measured using Shapley Additive exPlanation (SHAP) values. RESULTS: A total of 12,694 admissions were included. Models trained with 9 features (age, event pattern, fever, C-reactive protein, white blood cell count, platelet count, lymphocyte ratio, peak temperature, peak heart rate) achieved the best performance (AUROC: MP 0.87, 95% CI 0.83-0.90; RSV 0.84, 95% CI 0.82-0.86; adenovirus 0.81, 95% CI 0.77-0.84; influenza A 0.77, 95% CI 0.73-0.80; influenza B 0.70, 95% CI 0.65-0.75; PIV 0.73, 95% CI 0.69-0.77). Age was the most important feature to predict MP, RSV and PIV infections. Event patterns were useful for influenza virus prediction, and C-reactive protein had the highest SHAP value for adenovirus infections. CONCLUSION: We demonstrate how artificial intelligence can assist clinicians identify potential pathogens associated with pediatric ARIs upon admission. Our models provide explainable results that could help optimize the use of diagnostic testing. Integrating our models into clinical workflows may lead to improved patient outcomes and reduce unnecessary medical costs.

Tauroursodeoxycholic acid inhibits TGF-ß1-induced renal fibrosis markers in cultured renal mesangial cells by regulating endoplasmic reticulum stress.

Chronic kidney disease (CKD) has a worldwide prevalence of higher than 10% with an increasing mortality rate. As it involves the deterioration of renal function, it represents a serious risk to human health and, if left untreated, significantly lowers the quality of the patient's life. CKD is characterized by renal fibrosis. Studies have shown that transforming growth factor ß1 (TGF-ß1), a key driving factor of renal fibrosis, is closely related to the activation of renal fibrosis pathways such as endoplasmic reticulum stress (ERS). Tauroursodeoxycholic acid (TUDCA), an endogenous bile acid derivative, can effectively inhibit endogenous ERS. Here, we explored the effects and actions of TUDCA on renal fibrosis by establishing a renal mesangial cell (RMC) model. The RMC was stimulated with TGF-ß1, and PCR and western blotting were used to detect the expression of ERS-related chaperone proteins and fibrotic indicators. The expression of glucose-regulated protein 78 (GRP78) was silenced in RMC cells to investigate the role of GRP78 in renal fibrosis. Finally, PCR and western blotting were used to detect the effects of TUDCA on the expression of GRP78, C/EBP homologous protein (CHOP), α-smooth muscle actin (α-SMA), and fibronectin (FN) in the TGF-ß1-stimulated RMCs. The results showed that TUDCA significantly downregulated TGF-ß1-induced levels of GRP78, CHOP, α-SMA and FN in RMCs. In addition, downregulation of GRP78 inhibited the expression of FN and α-SMA in the RMCs. In conclusion, downregulation of GRP78 and CHOP expression is one of the mechanisms by which TUDCA inhibits TGF-ß1-induced renal mesangial cell fibrosis.

Primary hepatic paraganglioma mimicking hepatocellular carcinoma: a case report.

Background: Primary hepatic paraganglioma (HPGL) originates from sympathetic nervous tissue in the liver. It is one of an exceedingly rare kind of sympathetic paragangliomas. The radiological features and clinical characters of HPGL can be easily confused with hepatocellular carcinoma (HCC). We present a case of HCC that was preoperatively diagnosed as hepatic paraganglioma, however, was pathologically verified as hepatic paraganglioma after surgery. Case Description: The present case reported a 47-year-old female with a very rare HPGL without any clinical symptoms, except for hyper menorrhagia and paroxysmal hypertension. The Spiegelman lobe of the liver underwent hepatic magnetic resonance imaging, which revealed a 3.2×3.8 cm mass, with uneven arterial phase wash-in and rapid portal and delayed phase wash-out. According to the imaging results, the patient was first diagnosed with hepatocellular carcinoma, and a radical hepatectomy was performed. However, the blood pressure of the patient displayed dramatic changes when the tumor was stimulated in operation. There were no substantial abnormalities found in the bilateral renal and adrenal glands. Therefore, we presumed that the tumor was related to functional pheochromocytoma. The tumor tissue was shown to be positive for chromogranin A, synaptophysin, CD56, and vimentin by immunohistochemical analysis. As a result, the patient was diagnosed with HPGL after this pathologic evaluation. Conclusions: There are several similarities between HPGL and HCC. For the treatment of hepatic paraganglioma, surgical excision is the recommended practice. Although the majority of paragangliomas are benign, long-term monitoring is required to differentiate benign from malignant paragangliomas.

Using Text Content From Coronary Catheterization Reports to Predict 5-Year Mortality Among Patients Undergoing Coronary Angiography: A Deep Learning Approach.

Background: Current predictive models for patients undergoing coronary angiography have complex parameters which limit their clinical application. Coronary catheterization reports that describe coronary lesions and the corresponding interventions provide information of the severity of the coronary artery disease and the completeness of the revascularization. This information is relevant for predicting patient prognosis. However, no predictive model has been constructed using the text content from coronary catheterization reports before. Objective: To develop a deep learning model using text content from coronary catheterization reports to predict 5-year all-cause mortality and 5-year cardiovascular mortality for patients undergoing coronary angiography and to compare the performance of the model to the established clinical scores. Method: This retrospective cohort study was conducted between January 1, 2006, and December 31, 2015. Patients admitted for coronary angiography were enrolled and followed up until August 2019. The main outcomes were 5-year all-cause mortality and 5-year cardiovascular mortality. In total, 11,576 coronary catheterization reports were collected. BioBERT (bidirectional encoder representations from transformers for biomedical text mining), which is a BERT-based model in the biomedical domain, was utilized to construct the model. The area under the receiver operating characteristic curve (AUC) was used to assess model performance. We also compared our results to the residual SYNTAX (SYNergy between PCI with TAXUS and Cardiac Surgery) score. Results: The dataset was divided into the training (60%), validation (20%), and test (20%) sets. The mean age of the patients in each dataset was 65.5 ± 12.1, 65.4 ± 11.2, and 65.6 ± 11.2 years, respectively. A total of 1,411 (12.2%) patients died, and 664 (5.8%) patients died of cardiovascular causes within 5 years after coronary angiography. The best of our models had an AUC of 0.822 (95% CI, 0.790-0.855) for 5-year all-cause mortality, and an AUC of 0.858 (95% CI, 0.816-0.900) for 5-year cardiovascular mortality. We randomly selected 300 patients who underwent percutaneous coronary intervention (PCI), and our model outperformed the residual SYNTAX score in predicting 5-year all-cause mortality (AUC, 0.867 [95% CI, 0.813-0.921] vs. 0.590 [95% CI, 0.503-0.684]) and 5-year cardiovascular mortality (AUC, 0.880 [95% CI, 0.873-0.925] vs. 0.649 [95% CI, 0.535-0.764]), respectively, after PCI among these patients. Conclusions: We developed a predictive model using text content from coronary catheterization reports to predict the 5-year mortality in patients undergoing coronary angiography. Since interventional cardiologists routinely write reports after procedures, our model can be easily implemented into the clinical setting.

A cyclooxygase-2 inhibitor NS-398-enhanced apoptosis of esophageal carcinoma cell EC9706 by adjusting expression of survivin and caspase-3.

The aim of this study is to examine the effect and mechanism of a selective cyclooxygenase-2 (COX-2) inhibitor NS-398 on inducing apoptosis of esophageal cancer cells. After the treatment with NS-398 on esophageal carcinoma EC9706 cell, MTT assay was used to observe the inhibition of EC9706 cell growth and apoptosis was determined by electronic microscopy and flow cytometry. The expression of survivin and caspase-3 was examined using immunocytochemical technique. The dose of 0.01­0.1 mM NS398 showed the inhibitory effect on growth of EC9706 cell lines and induce apoptosis in a dose- and time-effective manner; moreover, NS-398 also downregulated the level of expression of survivin and elevated the expression of capase-3. NS-398 can induce apoptosis of the esophageal carcinoma EC9706 cells by means of adjusting expression of survivin and caspase-3.

Retracted: Serum 25-hydroxyvitamin D and risk of type 2 diabetes in older adults: A dose-response meta-analysis of prospective cohort studies.

Lower serum level of 25-hydroxyvitamin D is common in older adults and associated with several negative outcomes. However, previous studies have indicated that 25-hydroxyvitamin D is associated with risk of type 2 diabetes, but presented controversial results.Studies in PubMed and EMBASE were searched update to June 2017 to identify and quantify the potential dose-response association between low 25-hydroxyvitamin D and risk of type 2 diabetes in older adults.Nine eligible studies involving a total of 34,511 participants with 2863 incident cases were included in this meta-analysis. Our results showed statistically significant association between lower 25-hydroxyvitamin D and type 2 diabetes in older adults [odds ratio (OR) = 1.19, 95% confidence interval (95% CI): 1.08-1.32, P = .001]. In addition, we obtained the best fit at an inflection point of decrease 10 ng/mL in piecewise regression analysis; the summary relative risk of type 2 diabetes in older adults for a decrease of 10 ng/mL 25-hydroxyvitamin D was 1.06 (95% CI: 1.02-1.13, P < .001). Furthermore, subgroups analysis indicated that lower 25-hydroxyvitamin D was associated with a significant increment risk of type 2 diabetes in older adults in female (OR = 1.21, 95% CI: 1.04-1.40, P = .014) but not in male (OR = 1.11, 95% CI: 0.75-1.63, P = .615). Subgroup meta-analyses in study design, duration of follow-up, number of participants, and number of cases showed consistent with the primary findings.Lower 25-hydroxyvitamin D is associated with type 2 diabetes in older adults risk increment.

Preoperative biliary drainage associated with biliary stricture after pancreaticoduodenectomy: a population-based study.

BACKGROUND: The rate of preoperative biliary drainage for pancreaticoduodenectomy has been increasing despite most recent evidence that favors avoiding it. Only a few studies have focused on late surgical complications - biliary stricture after pancreaticoduodenectomy and have produced only inconclusive results. We evaluate the role of preoperative biliary drainage in the formation of biliary stricture after pancreaticoduodenectomy. METHODS: The Taiwan National Health Insurance Program is a mandatory health care plan that covers nearly the entire population of 23 million in this country. A retrospective study was conducted to analyze the database compiled by the Taiwan National Health Insurance between January 2000 and December 2011. We included only patients with at least 2 years of follow-up. A cohort of 2,087 patients with preoperative diagnosis of biliary obstruction that underwent pancreaticoduodenectomy was evaluated. RESULTS: A total of 212 (10.1%) of the 2,087 studied patients needed intervention for biliary stricture after pancreaticoduodenectomy. The median time to biliary stricture formation was 15.2 months (range: 1.2-89.7 months). The cumulative biliary stricture rate was 6.9% (1 year), 15.8% (5 years), and 18.5% (10 year). Multivariate analysis showed preoperative biliary drainage (hazard ratio 1.78, 95% CI 1.27-2.50, P = 0.001) associated with biliary stricture after pancreaticoduodenectomy. CONCLUSIONS: Preoperative biliary drainage increases biliary stricture rate after pancreaticoduodenectomy.

[Cellular phenotype conversion induced by co-culture of human mesenchymal stem cells cocultured with human sweat gland cells].

OBJECTIVE: To investigate the cellular phenotype conversion during human mesenchymal stem cells (hMSCs) cocultured with injured human sweat gland cells (hSGCs) in vitro. METHODS: HMSCs and hSGCs were isolated and cultured and expanded respectively. The antigens expression of hMSCs and hSGCs were detected by two-steps immunocytochemistry. HMSCs were labeled with BrdU. The hSGCs were heat-shocked at 47 degrees C for 40 min when they reached 70% confluency, then cooled for 1-2 h at 37 degrees C and (1 - 2) x 10(5) BrdU-labeled hMSCs were added before incubation for up to 2 weeks. The cocultures were observed by phase contrast microscopy and detected by double-staining immunocytochemistry using CEA and BrdU as primary antibodies. RESULTS: The cultured hMSCs and hSGCs were clonogenic growth. HMSCs were positive for anti-CD44 and anti-CD105 staining and negative for anti-CD34 and anti-CEA staining. HSGCs express CK7, CK18, CK19 and CEA. The positive rate of BrdU labeled-hMSCs was 90%. The majority of hSGCs lost cell-cell contact after heat-shock. 2 weeks after cocultured, some cocultured cells were positive for both anti-CEA and anti-BrdU staining and some cocultures had more than two nuclei which stained with two different colors by double-staining immunocytochemistry. Statistic results showed 1%-5% of the hMSCs added to the coculture system were recovered as double-staining cells expressing BrdU and CEA while only 0.01%-0.05% cells stained with two different colors in nuclei. The multi-nucleated cells were wide and flatten. CONCLUSION: HMSCs could differentiate into hSGCs in vitro under injured microenvironment. The mechanisms of which may be that hMSCs differentiate into hSGCs directly or by cell fusion, even nucleus fusion.

Comparison of the personality and other psychological factors of students with internet addiction who do and do not have associated social dysfunction.

BACKGROUND: There is ongoing controversy about whether or not internet addiction should be considered a non-substance behavioral addiction (like gambling disorder) and, if so, what diagnostic criteria should be used to define the condition. Current criteria for internet addiction give equal diagnostic weight to the physiological symptoms and the social consequences of internet addiction. AIM: Assess the psychological correlates of social dysfunction among individuals with internet addiction. METHODS: A total of 133 students who sought treatment at the Guangji Psychiatric Hospital from July 2011 to December 2013 for psychological problems related to excessive internet use and who currently met Young criteria for internet addiction were identified; 31 of the 38 students who meet rigorous criteria for concurrent internet-related social dysfunction and a random sample of 44 of the 95 students without concurrent social dysfunction completed a battery of psychosocial measures: seven supplementary scales of the Minnesota Multiphasic Personality Inventory (MMPI), the Egna Minnen av Barndoms Uppfostran perceived parenting scale, the Perceived Social Support Scale, the Trait Coping Style Questionnaire, and the Symptom Checklist 90. RESULTS: Compared to persons with internet addiction without accompanying social dysfunction, those with social dysfunction had higher levels of interpersonal sensitivity, hostility, and paranoia; lower levels of social responsibility, anxiety, self-control, and family social support; and they were more likely to employ negative coping strategies. There were however, no differences in perceived parenting styles between the two groups. CONCLUSIONS: A relatively small proportion of individuals who meet the physiological markers of internet addiction simultaneously report significant internet-related social dysfunction. There are several psychosocial measures that distinguish persons with internet addiction who do or do not have concurrent social dysfunction. Further research is needed to determine whether or not these are two distinct subtypes of internet addiction and whether or not persons with internet addiction without concurrent social dysfunction should be classified as suffering from a 'mental disorder'.

Monoclonal antibodies against human tumor metastasis suppressor gene-1 (TMSG-1): preparation, characterization, and application.

To better understand the molecular mechanism of metastasis, the monoclonal antibody against tumor metastasis suppressor gene-1 (TMSG-1, one novel gene) was prepared, characterized, and applied in estimating the metastatic potential of human tumors. A dominant epitope, TMSG-1(15)--derived from TMSG-1--was automatically synthesized based on the Fmoc method, and the hapten was conjugated to Imject Maleimide activated mcKLH as a carrier protein. The antigen solution was used to immunize BALB/C mice. Hybridomas were generated and screened by ELISA for specific monoclonal antibodies, and their characterization was performed by Western blotting and immunohistochemical staining. The hybridoma cell line secreting anti-TMSG-1 antibody, designated C8, was established after primary ELISA screening and consequent rapid limited dilution. C8 was IgM in isotyping. The competitive inhibition assay showed that the antibody was TMSG-1 specific. Furthermore, in Western blotting, a protein band of about 45 kD was detected with nonmetastatic variant PC-3M-2B4 and PG-LH7 cells, but not with the isogenetic metastatic variant PC-3M-1E8 and PG-BE1 cells. Immunohistochemistry method showed that positive staining presented in the cytomembrane and cytoplasm of 2B4 and LH7 cells, while 1E8 and BE1 cells were non-reactive. The sections from paraffin-embedded blocks of human cancer (52 cases of breast carcinoma and 41 cases of colon cancer) were stained, showing strongly positive in non-metastatic tumor and weakly positive or negative in metastatic tumor; the strongly positive rate of TMSG-1 expression in human cancers were, respectively, 36%, 7.4%, 52.4%, and 35% in non-metastatic and metastatic breast cancer and non-metastatic and metastatic colon cancer (p = 0.02). The monoclonal antibody developed against synthetic peptide was TMSG-1 specific, and it has promise in Western blot and immunohistochemistry for detecting the TMSG-1 expression of cancer cells and tissues. It may provide an important tool in the study of TMSG-1 expression and function in both experimental and clinical studies. Furthermore, our tests confirmed that TMSG-1 protein has excellent inverse correlation to tumor metastasis potential, with the molecular weight of 45 kD (supporting the encoded protein containing 380 amino acids) and localization in cytomembrane and cytoplasm of tumor cell.