Correction: A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.

[This corrects the article DOI: 10.2196/27806.].

A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.

BACKGROUND: More than 79.2 million confirmed COVID-19 cases and 1.7 million deaths were caused by SARS-CoV-2; the disease was named COVID-19 by the World Health Organization. Control of the COVID-19 epidemic has become a crucial issue around the globe, but there are limited studies that investigate the global trend of the COVID-19 pandemic together with each country's policy measures. OBJECTIVE: We aimed to develop an online artificial intelligence (AI) system to analyze the dynamic trend of the COVID-19 pandemic, facilitate forecasting and predictive modeling, and produce a heat map visualization of policy measures in 171 countries. METHODS: The COVID-19 Pandemic AI System (CPAIS) integrated two data sets: the data set from the Oxford COVID-19 Government Response Tracker from the Blavatnik School of Government, which is maintained by the University of Oxford, and the data set from the COVID-19 Data Repository, which was established by the Johns Hopkins University Center for Systems Science and Engineering. This study utilized four statistical and deep learning techniques for forecasting: autoregressive integrated moving average (ARIMA), feedforward neural network (FNN), multilayer perceptron (MLP) neural network, and long short-term memory (LSTM). With regard to 1-year records (ie, whole time series data), records from the last 14 days served as the validation set to evaluate the performance of the forecast, whereas earlier records served as the training set. RESULTS: A total of 171 countries that featured in both databases were included in the online system. The CPAIS was developed to explore variations, trends, and forecasts related to the COVID-19 pandemic across several counties. For instance, the number of confirmed monthly cases in the United States reached a local peak in July 2020 and another peak of 6,368,591 in December 2020. A dynamic heat map with policy measures depicts changes in COVID-19 measures for each country. A total of 19 measures were embedded within the three sections presented on the website, and only 4 of the 19 measures were continuous measures related to financial support or investment. Deep learning models were used to enable COVID-19 forecasting; the performances of ARIMA, FNN, and the MLP neural network were not stable because their forecast accuracy was only better than LSTM for a few countries. LSTM demonstrated the best forecast accuracy for Canada, as the root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) were 2272.551, 1501.248, and 0.2723075, respectively. ARIMA (RMSE=317.53169; MAPE=0.4641688) and FNN (RMSE=181.29894; MAPE=0.2708482) demonstrated better performance for South Korea. CONCLUSIONS: The CPAIS collects and summarizes information about the COVID-19 pandemic and offers data visualization and deep learning-based prediction. It might be a useful reference for predicting a serious outbreak or epidemic. Moreover, the system undergoes daily updates and includes the latest information on vaccination, which may change the dynamics of the pandemic.

Risk Factors for Myocardial Infarction and Stroke Among Sepsis Survivors: A Competing Risks Analysis.

OBJECTIVES: Predictors for post-sepsis myocardial infarction (MI) and stroke are yet to be identified due to the competing risk of death. METHODS: This study included all hospitalized patients with sepsis from National Health Insurance Research Database of Taiwan between 2000 and 2011. The primary outcome was the first occurrence of MI and stroke requiring hospitalization within 180 days following hospital discharge from the index sepsis episode. The association between predictors and post-sepsis MI and stroke were analyzed using cumulative incidence competing risk model that controlled for the competing risk of death. RESULTS: Among 42 316 patients with sepsis, 1012 (2.4%) patients developed MI and stroke within 180 days of hospital discharge. The leading 5 predictors for post-sepsis MI and stroke are prior cerebrovascular diseases (hazard ratio [HR]: 2.02, 95% confidence interval [CI]: 1.74-2.32), intra-abdominal infection (HR: 1.94, 95% CI: 1.71-2.20), previous MI (HR: 1.81, 95% CI: 1.53-2.15), lower respiratory tract infection (HR: 1.62, 95% CI: 1.43-1.85), and septic encephalopathy (HR: 1.61, 95% CI: 1.26-2.06). CONCLUSIONS: Baseline comorbidities and sources of infection were associated with an increased risk of post-sepsis MI and stroke. The identified risk factors may help physicians select a group of patients with sepsis who may benefit from preventive measures, antiplatelet treatment, and other preventive measures for post-sepsis MI and stroke.

Correction: Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach.

[This corrects the article DOI: 10.2196/18585.].

Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach.

BACKGROUND: In the era of information explosion, the use of the internet to assist with clinical practice and diagnosis has become a cutting-edge area of research. The application of medical informatics allows patients to be aware of their clinical conditions, which may contribute toward the prevention of several chronic diseases and disorders. OBJECTIVE: In this study, we applied machine learning techniques to construct a medical database system from electronic medical records (EMRs) of subjects who have undergone health examination. This system aims to provide online self-health evaluation to clinicians and patients worldwide, enabling personalized health and preventive health. METHODS: We built a medical database system based on the literature, and data preprocessing and cleaning were performed for the database. We utilized both supervised and unsupervised machine learning technology to analyze the EMR data to establish prediction models. The models with EMR databases were then applied to the internet platform. RESULTS: The validation data were used to validate the online diagnosis prediction system. The accuracy of the prediction model for metabolic syndrome reached 91%, and the area under the receiver operating characteristic (ROC) curve was 0.904 in this system. For chronic kidney disease, the prediction accuracy of the model reached 94.7%, and the area under the ROC curve (AUC) was 0.982. In addition, the system also provided disease diagnosis visualization via clustering, allowing users to check their outcome compared with those in the medical database, enabling increased awareness for a healthier lifestyle. CONCLUSIONS: Our web-based health care machine learning system allowed users to access online diagnosis predictions and provided a health examination report. Users could understand and review their health status accordingly. In the future, we aim to connect hospitals worldwide with our platform, so that health care practitioners can make diagnoses or provide patient education to remote patients. This platform can increase the value of preventive medicine and telemedicine.

Impact of post-sepsis cardiovascular complications on mortality in sepsis survivors: a population-based study.

BACKGROUND: It remains unclear whether sepsis-related cardiovascular complications have an adverse impact on survival independent of pre-existing comorbidities. To investigate the survival impact of post-sepsis cardiovascular complications among sepsis survivors, we conducted a population-based study using the National Health Insurance Database of Taiwan. METHODS: We identified sepsis patients from the National Health Insurance Research Database of Taiwan using ICD-9-CM codes involving infection and organ dysfunction between 2000 and 2011. Post-sepsis incident myocardial infarction (MI) and stroke were ascertained by ICD-9-CM codes and antiplatelet treatment. We constructed a non-sepsis comparison cohort using propensity score matching to ascertain the association between sepsis and cardiovascular complications. Furthermore, we compared the 180-day mortality and 365-day mortality between patients surviving sepsis with or without post-sepsis MI or stroke within 70 days of hospital discharge. We constructed Cox regression models adjusting for pre-existing comorbidities to evaluate the independent survival impact of post-sepsis MI or stroke among sepsis survivors. RESULTS: We identified 42,316 patients hospitalized for sepsis, from which we matched 42,151 patients 1:1 with 42,151 patients hospitalized without sepsis. Compared to patients hospitalized without sepsis, patients hospitalized with sepsis had an increased risk of MI or stroke (adjusted odds ratio 1.72, 95% CI 1.60-1.85). Among 42,316 patients hospitalized for sepsis, 486 (1.15%) patients developed incident stroke and 108 (0.26%) developed incident MI within 70 days of hospital discharge. Compared to sepsis survivors without cardiovascular complications, sepsis survivors with incident MI or stroke had a higher mortality rate at 180 days (11.68% vs. 4.44%, P = 0.003) and at 365 days (16.75% vs. 7.11%, P = 0.005). Adjusting for age, sex, and comorbidities, post-sepsis MI or stroke was independently associated with increased 180-day (adjusted hazard ratio [HR] 2.16, 95% CI 1.69-2.76) and 365-day (adjusted HR 1.90, 95% CI 1.54-2.32) mortality. CONCLUSIONS: Compared to sepsis patients without incident MI or stroke, sepsis patients with incident MI or stroke following hospital discharge had an increased risk of mortality for up to 365 days of follow-up. This increased risk cannot be explained by pre-sepsis comorbidities.

Blockchain-Enabled iWellChain Framework Integration With the National Medical Referral System: Development and Usability Study.

BACKGROUND: Medical referral is the transfer of a patient's care from one physician to another upon request. This process involves multiple steps that require provider-to-provider and provider-to-patient communication. In Taiwan, the National Health Insurance Administration (NHIA) has implemented a national medical referral (NMR) system, which encourages physicians to refer their patients to different health care facilities to reduce unnecessary hospital visits and the financial stress on the national health insurance. However, the NHIA's NMR system is a government-based electronic medical referral service, and its referral data access and exchange are limited to authorized clinical professionals using their national health smart cards over the NHIA virtual private network. Therefore, this system lacks scalability and flexibility and cannot establish trusting relationships among patients, family doctors, and specialists. OBJECTIVE: To eliminate the existing restrictions of the NHIA's NMR system, this study developed a scalable, flexible, and blockchain-enabled framework that leverages the NHIA's NMR referral data to build an alliance-based medical referral service connecting health care facilities. METHODS: We developed a blockchain-enabled framework that can integrate patient referral data from the NHIA's NMR system with electronic medical record (EMR) and electronic health record (EHR) data of hospitals and community-based clinics to establish an alliance-based medical referral service serving patients, clinics, and hospitals and improve the trust in relationships and transaction security. We also developed a blockchain-enabled personal health record decentralized app (DApp) based on our blockchain-enabled framework for patients to acquire their EMR and EHR data; DApp access logs were collected to assess patients' behavior and investigate the acceptance of our personal authorization-controlled framework. RESULTS: The constructed iWellChain Framework was installed in an affiliated teaching hospital and four collaborative clinics. The framework renders all medical referral processes automatic and paperless and facilitates efficient NHIA reimbursements. In addition, the blockchain-enabled iWellChain DApp was distributed for patients to access and control their EMR and EHR data. Analysis of 3 months (September to December 2018) of access logs revealed that patients were highly interested in acquiring health data, especially those of laboratory test reports. CONCLUSIONS: This study is a pioneer of blockchain applications for medical referral services, and the constructed framework and DApp have been applied practically in clinical settings. The iWellChain Framework has the scalability to deploy a blockchain environment effectively for health care facilities; the iWellChain DApp has potential for use with more patient-centered applications to collaborate with the industry and facilitate its adoption.

Obesity, hyperhomocysteinaemia and risk of chronic kidney disease: a population-based study.

Background: Obesity is associated with increased risk of cardiovascular disease and chronic kidney disease (CKD). Hyperhomocysteinaemia refers to increased oxidative stress and has been associated with the risk of CKD. Objectives: We investigated the association among body mass index (BMI), homocysteine level and impaired renal function in a Taiwanese adult population. Methods: This was a retrospective cross-sectional study involving 24826 subjects who underwent a health check-up from January 2013 to December 2015. A multivariate linear regression model was developed to analyse the relationship among BMI, serum homocysteine and estimated glomerular filtration rate (eGFR). A multivariate logistic regression model was used to assess the relationship among weight categories, hyperhomocysteinaemia and CKD. Results: The prevalence of CKD in the quartile groups of homocysteine were 2.5%, 2.7%, 3.4% and 5.2% (P < 0.01). For every one-unit increase in BMI (kg/m2), the eGFR decreased by 0.50 ml/min/1.73 m2. Overweight/obese subjects with high homocysteine levels had a higher odds ratio (OR) for CKD, as compared with normal weight subjects (1.84 versus 1.38, respectively; P < 0.01 versus P = 0.02, respectively). Overweight/obese female subjects with hyperhomocysteinaemia had an OR of 3.40 [P < 0.01; 95% confidence interval (CI): 2.06-5.61] for CKD; in males, the OR was 1.66 (P < 0.01; 95% CI: 1.38-1.99). Conclusions: Patients who are overweight/obese with higher homocysteine levels have an increased risk of CKD, especially females. Additional studies exploring whether the effect of weight loss or homocysteine-lowering therapies such as folic acid, vitamin B12 supplements that may prevent or slow the progression of declining renal function, is warranted.

Visceral Adiposity Index as a Predictor of Chronic Kidney Disease in a Relatively Healthy Population in Taiwan.

OBJECTIVES: Abdominal obesity is an independent risk factor for cardiovascular disease and chronic kidney disease (CKD). Visceral adiposity index (VAI), a simple formula representing visceral adipose dysfunction, has already been proven to have a strong correlation with various cardiometabolic disorders. Limited studies are available regarding the relationship between VAI and renal function decline. Therefore, the purpose of this study was to evaluate the relationship between VAI and renal function and to estimate the risk of chronic kidney disease in a relatively healthy adult population in Taiwan. DESIGN: The design of the study is retrospective cross-sectional analysis. SUBJECTS: This study involved 23,570 subjects aged ≥18 years who underwent annual heath checkups between January and December 2013. A multivariate logistic regression model was used to assess the relationship between VAI and CKD. Receiver-operating characteristic curve and Youden index were developed to determine the discrimination power of VAI for metabolic syndrome and CKD. INTERVENTION: None, observational study. MAIN OUTCOME MEASURE: The main outcome measure of this study was CKD. RESULTS: In our study, the adjusted odds ratio (OR) of abnormal VAI for CKD was 1.5 (95% confidence interval [CI], 1.08-2.08; P = .016) in all subjects. A higher VAI was superior in association with CKD in men than women (OR, 1.62; 95% CI, 1.13-2.32; P = .009 vs. OR, 1.28; 95% CI, 0.66-2.47; P = .469, respectively). The area under the curve for VAI was 0.694 (95% CI, 0.660-0.729; P < .001), and using a Youden index with a cut-off VAI value of 2.96 for CKD discrimination obtained a sensitivity of 67.7% and specificity of 65.1%. CONCLUSIONS: A higher VAI score was associated with increased risks of CKD. VAI would be an applicable tool for early detection of CKD in relatively healthy adults in Taiwan, especially men.

Preadmission Use of Calcium Channel Blocking Agents Is Associated With Improved Outcomes in Patients With Sepsis: A Population-Based Propensity Score-Matched Cohort Study.

OBJECTIVES: Use of calcium channel blockers has been found to improve sepsis outcomes in animal studies and one clinical study. This study determines whether the use of calcium channel blockers is associated with a decreased risk of mortality in patients with sepsis. DESIGN: Population-based matched cohort study. SETTING: National Health Insurance Research Database of Taiwan. PATIENTS: Hospitalized severe sepsis patients identified from National Health Insurance Research Database by International Classification of Diseases, Ninth Revision, Clinical Modification codes. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The association between calcium channel blocker use and sepsis outcome was determined by multivariate-adjusted Cox proportional hazard models and propensity score analysis. To examine the influence of healthy user bias, beta-blocker was used as an active comparator. Our study identified 51,078 patients with sepsis, of which, 19,742 received calcium channel blocker treatments prior to the admission. Use of calcium channel blocker was associated with a reduced 30-day mortality after propensity score adjustment (hazard ratio, 0.94; 95% CI, 0.89-0.99), and the beneficial effect could extend to 90-day mortality (hazard ratio, 0.95; 95% CI, 0.89-1.00). In contrast, use of beta-blocker was not associated with an improved 30-day (hazard ratio, 1.06; 95% CI, 0.97-1.15) or 90-day mortality (hazard ratio, 1.00; 95% CI, 0.90-1.11). On subgroup analysis, calcium channel blockers tend to be more beneficial to patients with male gender, between 40 and 79 years old, with a low comorbidity burden, and to patients with cardiovascular diseases, diabetes, or renal diseases. CONCLUSIONS: In this national cohort study, preadmission calcium channel blocker therapy before sepsis development was associated with a 6% reduction in mortality when compared with patients who have never received calcium channel blockers.

Risk of incident active tuberculosis disease in patients treated with non-steroidal anti-inflammatory drugs: a population-based study.

BACKGROUND: Mycobacterium tuberculosis (TB) is one of the world's most devastating public health threats. Our goal is to evaluate whether the use of non-steroidal anti-inflammatory drugs (NSAIDs) affect the risk of new incident active TB disease. METHODS: We conducted a nested case-control analysis by using a 1 million longitudinally followed cohort, from Taiwan's national health insurance research database. Effects of NSAIDs on active TB were estimated by conditional logistic regression and adjusted using a TB-specific disease risk score (DRS). NSAIDs exposures were defined as having a prescription record of NSAIDs ≧ 7 days that ended between 31 and 90 days prior to the index date. RESULTS: A total of 123,419 users of traditional NSAIDs, 16,392 users of cyclooxygenase-2 selective inhibitor (Coxibs), and 4706 incident cases of active TB were identified. Compared with nonusers, use of traditional NSAIDs was associated with an increased risk of TB in the unadjusted analysis ([RR], 1.39; 95% [CI], 1.24 - 1.57 and DRS adjusted analysis ([ARR], 1.30; 95% [CI], 1.15- 1.47). However, use of Coxibs was not associated with a significant increase in the risk of TB after DRS adjustment ([ARR], 1.23; 95% [CI], 0.89 - 1.70). CONCLUSIONS: In this large population-based study, we found that subjects using traditional NSAIDs were associated with increased risk for active TB. We did not find evidence for a causative mechanism between traditional NSAIDs and TB, and more research is required to verify whether the association between traditional NSAIDs and TB is causal, or simply reflects an increased use of anti-inflammatory drugs in the early phases of TB onset.

Statin treatment is associated with a decreased risk of active tuberculosis: an analysis of a nationally representative cohort.

BACKGROUND: Epidemiological data suggest that statins improve the clinical outcome of respiratory infections. We sought to examine whether statin therapy decreases the risk of active TB. METHODS: We conducted a nested case-control study on data obtained from a national health insurance claims database between 1999 and 2011. The use of statins was classified as current, recent, past or chronic use. Three conditional logistic regression models were used to estimate the incidence rate ratios (RRs). The first assessed the effect of statin use without further adjustment; the second adjusted (individually) for 75 potential confounders; and the third adjusted for the Disease Risk Score (DRS). RESULTS: A total of 8098 new TB cases and 809 800 control patients were examined. All four types of statin users showed a decreased risk of active TB. Chronic use (>90 days in a calendar year) of statins was associated with the lowest unadjusted risk of TB (RR 0.74; 95% CI 0.63 to 0.87). The protective effect of active TB remained after adjusting for individual confounders (RR 0.66; 95% CI 0.56 to 0.78) and after DRS adjustment (RR 0.62; 95% CI 0.53 to 0.72). The effect estimates obtained for chronic and current use of statins were very similar. We also found that the active TB protection increased with increasing length of statin prescription. CONCLUSIONS: We found that statin therapy was associated with a decreased risk of active TB, and the length of statin therapy affected the TB protection. Given the observational nature of this study, the protective effect against active TB must be confirmed in future randomised trials.

Does procalcitonin, C-reactive protein, or interleukin-6 test have a role in the diagnosis of severe infection in patients with febrile neutropenia? A systematic review and meta-analysis.

PURPOSE: The study aims to determine the usefulness of procalcitonin (PCT) and other blood markers for identification of bacterial infection among patients with febrile neutropenia (FN). METHODS: The Medline, EMBASE, and Cochrane databases were searched for articles from 1966 to December 2012. We performed a search to identify articles that examined the diagnostic accuracy of PCT in patients with FN. Statistical analyses (fixed- or random-effect models) were conducted to summarize and calculate the sensitivity, specificity, likelihood ratios, and 95 % confidence intervals (CIs). RESULTS: Twenty-seven studies were included (1960 febrile episodes) for PCT analysis, 13 (1712 febrile episodes) for C-reactive protein (CRP) analysis, and five (314 febrile episodes) for interleukin (IL)-6 analysis. Increased PCT levels (odds ratio [OR] 11.5; 95 % CI 7.6 to 17.3), raised CRP levels (3.3; 2.7 to 4.2), and raised IL-6 levels (10.0; 5.5 to 18.0) were significantly associated with bacterial infection. Overall positive likelihood ratio was 5.49 (4.04-7.45) for PCT, 1.82 (1.42-2.33) for CRP, and 3.68 (2.41-5.60) for IL-6. Overall negative likelihood ratio was 0.40 (0.31-0.51) for PCT, 0.40 (0.26-0.61) for CRP, and 0.33 (0.23-0.46) for IL-6. CONCLUSIONS: Of the three potentially useful markers, PCT had the best positive likelihood ratio and can be used to confirm the diagnosis of bacterial infections in patients with FN. Due to unacceptably high negative likelihood ratio, medical decision for stopping antibiotics based on PCT alone in this high-risk population may not be possible.

Distinct effects of Disabled-2 on transferrin uptake in different cell types and culture conditions.

Iron uptake by the transferrin (Tf)-transferrin receptor (TfR) complex is critical for erythroid differentiation. The mechanisms of TfR trafficking have been examined, but the adaptor proteins involved in this process are not fully elucidated. We have investigated the role of the adaptor protein, Disabled-2 (Dab2), in erythroid differentiation and Tf uptake in the cells of hematopoietic lineage. Dab2 was upregulated in a time-dependent manner during erythroid differentiation of mouse embryonic stem cells and human K562 erythroleukemic cells. Attenuating Dab2 expression in K562 cells diminished TfR internalization and increased surface levels of TfR concomitantly with a decrease in Tf uptake and erythroid differentiation. Dab2 regulated Tf uptake of the suspended, but not adherent, cultures of K562 cells. In contrast, Dab2 is not involved in TfR trafficking in the HeLa cells with epithelial origin. These differential effects are Dab2-specific because attenuating the expression of adaptor protein 2 µ subunit inhibited the uptake of Tf regardless of culture condition. We offer novel insight of Dab2 function in iron uptake and TfR internalization for the suspended culture of hematopoietic lineage cells.

Use of bisphosphonates and the risk of osteonecrosis among cancer patients: a systemic review and meta-analysis of the observational studies.

PURPOSE: This study aims to systematically review observational studies evaluating the use of bisphosphonates (BPs) and risk of osteonecrosis of the jaw (ONJ) among cancer patients. METHODS: PubMed, Embase, and Cochrane Library were screened from database inception to Aug 2012. Two reviewers independently identified cohort and case-control studies evaluating the use of oral or intravenous (IV) BPs and the risk of ONJ and extracted the characteristics of the studies and risk estimates. Pooled estimates of odds ratios and 95 % confidence intervals were derived by random effects meta-analysis. Subgroup analyses were carried out according to patients' characteristics and route of BP use. RESULTS: We identified eight studies, including 1,389 cases and 569,620 controls. Use of BPs was associated with a significantly increased risk of ONJ (odds ratio (OR) 4.25; 95 % confidence interval (CI) 3.67-5.36; I (2) = 0 %). The summary OR was 4.22 (95 % CI 3.21-5.54; I (2) = 0 %) for adjusted studies. IV BPs were associated with higher risk (OR 4.27; 95 % CI 3.38-5.40; I (2) = 0 %) than oral BPs (OR 1.18; 95 % CI 0.89-1.56; I (2) = 0 %). Hospital-based studies were associated with higher risk estimates than population-based studies. CONCLUSION: The available evidence suggests that use of BPs in cancer patients is associated with a substantial risk for ONJ. Patients receiving IV BP are at the highest risk. It is important to assess oral health before initiating therapy and to avoid dental procedures during the active phase of intravenous BP therapy.

Prognostic determinants of community-acquired bloodstream infection in type 2 diabetic patients in ED.

OBJECTIVES: The objective of the study is to describe the epidemiology and outcome of community-acquired bloodstream infection (BSI) in type 2 diabetic patients in emergency department (ED). METHODS: All patients admitted to the ED of the university hospital from June 2010 to June 2011 with a history of type 2 diabetes mellitus and microbiologically documented BSI were retrospectively enrolled. Demographic characteristics, Charlson comorbidity index, antibiotic therapy, clinical severity, microbiological etiology, and diabetes-related complications were recorded in a standardized form. The major outcome measure was 30-day survival. χ2 Or Student t test was used for univariate analysis, and Cox proportional hazards models were used for multivariate analysis. RESULTS: Among 250 enrolled emergency patients with BSI, the overall 30-day mortality rate was 15.5%. Twenty-seven patients (10.7%) developed diabetic ketoacidosis (DKA), and 22 patients (8.8%) developed hyperosmolar hyperglycemic state. On univariate analysis, DKA rather than hyperosmolar hyperglycemic state was associated with adverse outcome. Other risk factors include higher mean glycated hemoglobin level, presence of underlying malignancy, long-term use of steroids, lower respiratory tract infection, and higher Charlson scores. Multivariate analysis identified 3 independent risk factors for early mortality when severity, comorbidity, age, and sex were under control: DKA (hazard ratio, 3.89; 95% confidence interval, 1.6-8.9), inappropriate antibiotics (2.25, 1.05-4.82), and chronic use of steroid (3.89, 1.1-13.2). CONCLUSION: In type 2 diabetic patients with BSI, a substantial proportion of patients developed DKA. This condition was probably underrecognized by clinicians and constituted an independent risk factor for short-term mortality. Other identified risk factors are potentially correctable and may allow preventive efforts to individuals at greatest potential benefit.

Use of serum procalcitonin to detect bacterial infection in patients with autoimmune diseases: a systematic review and meta-analysis.

OBJECTIVE: To systematically review evidence of the accuracy of the procalcitonin test for diagnosis of bacterial infection in patients with autoimmune disease. METHODS: The major databases Medline, EMBase, and the Cochrane Library were searched for studies published between January 1966 and October 2011 that evaluated procalcitonin, alone or in comparison with other laboratory markers such as C-reactive protein (CRP), as a diagnostic marker for bacterial infection in patients with autoimmune disease and provided sufficient data to permit construction of 2 × 2 tables. RESULTS: Nine studies were included in the final meta-analysis. The area under the summary receiver operating characteristic curve values were 0.91 (95% confidence interval [95% CI] 0.88-0.93) for procalcitonin and 0.81 (95% CI 0.78-0.84) for CRP. In general, testing for procalcitonin was highly specific for identifying infectious complications, although it was not as sensitive as testing for CRP. Pooled sensitivity was 0.75 (95% CI 0.63-0.84) for procalcitonin tests and 0.77 (95% CI 0.67-0.85) for CRP tests. Pooled specificity was 0.90 (95% CI 0.85-0.93) for procalcitonin tests and 0.56 (95% CI 0.25-0.83) for CRP tests. The positive likelihood ratio for procalcitonin (7.28 [95% CI 5.10-10.38]) was sufficiently high to qualify procalcitonin testing as a rule-in diagnostic tool, while the negative likelihood ratio (0.28 [95% CI 0.18-0.40]) was not sufficiently low to qualify procalcitonin testing as a reliable rule-out diagnostic tool. CONCLUSION: Procalcitonin has higher diagnostic value than CRP for the detection of bacterial sepsis in patients with autoimmune disease, and the test for procalcitonin is more specific than sensitive. A procalcitonin test is not recommended to be used in isolation as a rule-out tool.

Plant-based polyphenol rich protein supplementation attenuated skeletal muscle loss and lowered the LDL level via gut microbiota remodeling in Taiwan's community-dwelling elderly.

Sarcopenia, characterized by muscle loss, negatively affects the elderly's physical activity and survival. Enhancing protein and polyphenol intake, possibly through the supplementation of fermented black soybean koji product (BSKP), may alleviate sarcopenia by addressing anabolic deficiencies and gut microbiota dysbiosis because of high contents of polyphenols and protein in BSKP. This study aimed to examine the effects of long-term supplementation with BSKP on mitigating sarcopenia in the elderly and the underlying mechanisms. BSKP was given to 46 participants over 65 years old with early sarcopenia daily for 10 weeks. The participants' physical condition, serum biochemistry, inflammatory cytokines, antioxidant activities, microbiota composition, and metabolites in feces were evaluated both before and after the intervention period. BSKP supplementation significantly increased the appendicular skeletal muscle mass index and decreased the low-density lipoprotein level. BSKP did not significantly alter the levels of inflammatory factors, but significantly increased the activity of antioxidant enzymes. BSKP changed the beta diversity of gut microbiota and enhanced the relative abundance of Ruminococcaceae_UCG_013, Lactobacillus_murinus, Algibacter, Bacillus, Gordonibacter, Porphyromonas, and Prevotella_6. Moreover, BSKP decreased the abundance of Akkermansia and increased the fecal levels of butyric acid. Positive correlations were observed between the relative abundance of BSKP-enriched bacteria and the levels of serum antioxidant enzymes and fecal short chain fatty acids (SCFAs), and Gordonibacter correlated negatively with serum low-density lipoprotein. In summary, BSKP attenuated age-related sarcopenia by inducing antioxidant enzymes and SCFAs via gut microbiota regulation. Therefore, BSKP holds potential as a high-quality nutrient source for Taiwan's elderly, especially in conditions such as sarcopenia.

Comparison of the test characteristics of procalcitonin to C-reactive protein and leukocytosis for the detection of serious bacterial infections in children presenting with fever without source: a systematic review and meta-analysis.

STUDY OBJECTIVE: We determine the usefulness of the procalcitonin for early identification of young children at risk for severe bacterial infection among those presenting with fever without source. METHODS: The design was a systematic review and meta-analysis of diagnostic studies. Data sources were searches of MEDLINE and EMBASE in April 2011. Included were diagnostic studies that evaluated the diagnostic value of procalcitonin alone or compared with other laboratory markers, such as C-reactive protein or leukocyte count, to detect severe bacterial infection in children with fever without source who were aged between 7 days and 36 months. RESULTS: Eight studies were included (1,883 patients) for procalcitonin analysis, 6 (1,265 patients) for C-reactive protein analysis, and 7 (1,649 patients) for leukocyte analysis. The markers differed in their ability to predict serious bacterial infection: procalcitonin (odds ratio [OR] 10.6; 95% confidence interval [CI] 6.9 to 16.0), C-reactive protein (OR 9.83; 95% CI 7.05 to 13.7), and leukocytosis (OR 4.26; 95% CI 3.22 to 5.63). The random-effect model was used for procalcitonin analysis because heterogeneity across studies existed. Overall sensitivity was 0.83 (95% CI 0.70 to 0.91) for procalcitonin, 0.74 (95% CI 0.65 to 0.82) for C-reactive protein, and 0.58 (95% CI 0.49 to 0.67) for leukocyte count. Overall specificity was 0.69 (95% CI 0.59 to 0.85) for procalcitonin, 0.76 (95% CI 0.70 to 0.81) for C-reactive protein, and 0.73 (95% CI 0.67 to 0.77) for leukocyte count. CONCLUSION: Procalcitonin performs better than leukocyte count and C-reactive protein for detecting serious bacterial infection among children with fever without source. Considering the poor pooled positive likelihood ratio and acceptable pooled negative likelihood ratio, procalcitonin is better for ruling out serious bacterial infection than for ruling it in. Existing studies do not define how best to combine procalcitonin with other clinical information.

Diagnostic role of procalcitonin in patients with suspected appendicitis.

BACKGROUND: The aim of this study was to assess the diagnostic value of procalcitonin (PCT) in emergency department (ED) patients with suspected appendicitis. METHODS: A prospective observational study was carried out in the emergency department of a university hospital between July 2007 and June 2008. Adult patients who presented to the ED with clinically suspected appendicitis were enrolled. Each patient underwent serum PCT, C-reactive protein (CRP), and Alvarado score evaluation on admission. The results of these three measurements were analyzed in relation to the final diagnosis determined by histopathological findings or compatible computed tomography findings. RESULTS: Of the 214 study patients, 113 (52.8 %) had a confirmed diagnosis of appendicitis and 58 had complicated appendicitis (phlegmon, perforation, or gangrene). For the diagnosis of appendicitis, the area under the receiving operating characteristic (ROC) curve is 0.74 for Alvarado score, 0.69 for PCT, and 0.61 for CRP. Overall, the Alvarado score has the best discriminative capability among the three tested markers. We adopted two cutoff point approaches to harness both ends of the diagnostic value of a biomarker. PCT levels were significantly higher in patients with complicated appendicitis. For diagnosis of complicated appendicitis, a cutoff value of 0.5 ng/mL had a sensitivity of 29 % and a specificity of 95 %, while a cutoff value of 0.05 ng/ml had a sensitivity of 85 % and a specificity of 30 % in diagnosing complicated appendicitis. For those with a PCT value in the gray zone, clinical findings may play a more important role. CONCLUSION: The study does not support the hypothesis that the PCT test may be useful for screening ED patients for appendicitis. However, determination of the PCT level may be useful for risk assessment of ED patients with suspected complicated appendicitis.