Development of a modified 3D region proposal network for lung nodule detection in computed tomography scans: a secondary analysis of lung nodule datasets.

BACKGROUND: Low-dose computed tomography (LDCT) has been shown useful in early lung cancer detection. This study aimed to develop a novel deep learning model for detecting pulmonary nodules on chest LDCT images. METHODS: In this secondary analysis, three lung nodule datasets, including Lung Nodule Analysis 2016 (LUNA16), Lung Nodule Received Operation (LNOP), and Lung Nodule in Health Examination (LNHE), were used to train and test deep learning models. The 3D region proposal network (RPN) was modified via a series of pruning experiments for better predictive performance. The performance of each modified deep leaning model was evaluated based on sensitivity and competition performance metric (CPM). Furthermore, the performance of the modified 3D RPN trained on three datasets was evaluated by 10-fold cross validation. Temporal validation was conducted to assess the reliability of the modified 3D RPN for detecting lung nodules. RESULTS: The results of pruning experiments indicated that the modified 3D RPN composed of the Cross Stage Partial Network (CSPNet) approach to Residual Network (ResNet) Xt (CSP-ResNeXt) module, feature pyramid network (FPN), nearest anchor method, and post-processing masking, had the optimal predictive performance with a CPM of 92.2%. The modified 3D RPN trained on the LUNA16 dataset had the highest CPM (90.1%), followed by the LNOP dataset (CPM: 74.1%) and the LNHE dataset (CPM: 70.2%). When the modified 3D RPN trained and tested on the same datasets, the sensitivities were 94.6%, 84.8%, and 79.7% for LUNA16, LNOP, and LNHE, respectively. The temporal validation analysis revealed that the modified 3D RPN tested on LNOP test set achieved a CPM of 71.6% and a sensitivity of 85.7%, and the modified 3D RPN tested on LNHE test set had a CPM of 71.7% and a sensitivity of 83.5%. CONCLUSION: A modified 3D RPN for detecting lung nodules on LDCT scans was designed and validated, which may serve as a computer-aided diagnosis system to facilitate lung nodule detection and lung cancer diagnosis.

A modified 3D RPN for detecting lung nodules on CT images that exhibited greater sensitivity and CPM than did several previously reported CAD detection models was established.

Combined model integrating deep learning, radiomics, and clinical data to classify lung nodules at chest CT.

OBJECTIVES: The study aimed to develop a combined model that integrates deep learning (DL), radiomics, and clinical data to classify lung nodules into benign or malignant categories, and to further classify lung nodules into different pathological subtypes and Lung Imaging Reporting and Data System (Lung-RADS) scores. MATERIALS AND METHODS: The proposed model was trained, validated, and tested using three datasets: one public dataset, the Lung Nodule Analysis 2016 (LUNA16) Grand challenge dataset (n = 1004), and two private datasets, the Lung Nodule Received Operation (LNOP) dataset (n = 1027) and the Lung Nodule in Health Examination (LNHE) dataset (n = 1525). The proposed model used a stacked ensemble model by employing a machine learning (ML) approach with an AutoGluon-Tabular classifier. The input variables were modified 3D convolutional neural network (CNN) features, radiomics features, and clinical features. Three classification tasks were performed: Task 1: Classification of lung nodules into benign or malignant in the LUNA16 dataset; Task 2: Classification of lung nodules into different pathological subtypes; and Task 3: Classification of Lung-RADS score. Classification performance was determined based on accuracy, recall, precision, and F1-score. Ten-fold cross-validation was applied to each task. RESULTS: The proposed model achieved high accuracy in classifying lung nodules into benign or malignant categories in LUNA 16 with an accuracy of 92.8%, as well as in classifying lung nodules into different pathological subtypes with an F1-score of 75.5% and Lung-RADS scores with an F1-score of 80.4%. CONCLUSION: Our proposed model provides an accurate classification of lung nodules based on the benign/malignant, different pathological subtypes, and Lung-RADS system.

Associations of maternal motor vehicle crashes during pregnancy with offspring's neonatal birth outcomes.

BACKGROUND: Adverse events in fetuses are well researched but studies on the follow-up health outcomes of infants exposed to maternal motor vehicle crashes (MVCs) during pregnancy have yielded inconsistent results. This study aimed to investigate the association of maternal exposure to MVCs during pregnancy with the risk of adverse neonatal outcomes. METHODS: This population-based cohort study used data from birth notifications in Taiwan. A total of 19 277 offspring with maternal exposure to MVCs during pregnancy and 76 015 randomly selected comparison offspring without such exposure were selected. Neonatal adverse outcomes were identified from National Health Insurance medical claims data. Conditional logistic regression was used to estimate the unadjusted and adjusted odds ratios (aORs) of neonatal adverse outcomes. RESULTS: Offspring exposed to maternal MVCs during pregnancy had a higher risk of birth defects (aOR, 1.21; 95% CI, 1.04-1.41) than offspring without such exposure. This positive association was sustained with exposure to an MVC during the first or second trimester. A dose-response relationship (P = 0.0023) was observed between the level of injury severity and the risk of birth defects. CONCLUSIONS: In the early stages of pregnancy, maternal exposure to MVCs may entail a risk of birth defects in the offspring. The potential mechanisms for the associations of maternal exposure to MVCs with birth defects need further investigation.

Investigation of New Psychoactive Substances (NPS), Other Illicit Drugs, and Drug-Related Compounds in a Taiwanese Wastewater Sample Using High-Resolution Mass-Spectrometry-Based Targeted and Suspect Screening.

The proliferation of new psychoactive substances (NPSs) in recent years has posed a significant challenge to public health. Traditional monitoring methods have proven insufficient in tracking these constantly evolving substances, leading to the development of alternative approaches such as wastewater-based epidemiology (WBE). The present study aims to utilize high-resolution mass spectrometry (HRMS)-based targeted and suspect screening to profile NPS, other illicit drugs, and drug-related compounds in a Taiwanese wastewater sample. For the targeted analysis, 8 out 18 standards of illicit drugs have been identified. The suspect screening approach based on approximately 3600 substances in the SWGDRUG library can further identify 92 compounds, including opiate analgesics, synthetic cathinones, phenylalkylamines derivatives, phenethylamine derivatives, tryptamine derivatives, steroids, and ephedrine-related compounds. Additionally, the presence of 5-methoxy-2-aminoindane (MEAI) in the wastewater indicates that drug dealers have recently sold this potential NPS to evade drug regulations. This study firstly reports the HRMS-based comprehensive profile of NPS, other illicit drugs, and drug-related compounds in Taiwan, which could be applied as biomarkers for estimating the consumption of drugs.

Maternal outcomes in association with motor vehicle crashes during pregnancy: a nationwide population-based retrospective study.

BACKGROUND: Limited studies have assessed the association of motor vehicle crashes (MVCs) during pregnancy with adverse maternal outcomes using a population-based nationwide dataset that covers all MVCs. METHODS: A total of 20 844 births from women who had been involved in MVCs during pregnancy were obtained from the National Birth Notification (BN) Database in Taiwan. We randomly selected 83 274 control births from women in the BN matched on age, gestational age and crash date. All study subjects were linked to medical claims and the Death Registry to identify the maternal outcomes after crashes. Conditional logistic regression models were used to estimate the adjusted odds ratio (aOR) and 95% CI of adverse outcomes associated with MVCs during pregnancy. RESULTS: Pregnant women involved in MVCs had significantly higher risks of placental abruption (aOR=1.51, 95% CI 1.30 to 1.74), prolonged uterine contractions (aOR=1.31, 95% CI 1.11 to 1.53), antepartum haemorrhage (aOR=1.19, 95% CI 1.12 to 1.26) and caesarean delivery (aOR=1.05, 95% CI 1.02 to 1.09) than the controls. Such elevated risks tended to be higher in the MVCs with greater severity. Scooter riders had higher ORs of various adverse maternal outcomes than car drivers. CONCLUSIONS: Women involved in MVCs during pregnancy were at increased risk of various adverse maternal outcomes, especially in those with severe MVCs and riding scooters at MVCs. These findings suggest that clinicians should be aware of these effects, and educational materials that include the above information should be provided as part of prenatal care.

Evaluation of motor vehicle crashes between scooter riders and car drivers after diagnosis of type 2 diabetes in Taiwan.

BACKGROUND: Despite the plausibility that diabetes may increase the risk of motor vehicle crashes (MVCs) due to various diabetes related complications and co-morbidity, findings from epidemiological studies on the relationship between diabetes and MVCs remained inclusive mainly due to heterogeneity in the study design and failure to complete consideration of potential confounders. This study re-visited this putative association with an improved study design. METHOD: This study employed a controlled before-after study design and included 1,264,280 people aged 18-75 years with T2D newly diagnosed from 2009-2014 and an equal number of age-, sex-, and time-matched controls. The rate ratios (RRs) of vehicle type-specific incidence rates of MVCs in the 1 and 2 years before and after diabetes diagnosis (or the matched dates) were compared between the individuals with type 2 diabetes (T2D) and their matched controls. RESULTS: The rate of MVCs increased slightly among people with T2D over 1 and 2 years following diabetes diagnosis, with RRs of 1.04 (95% confidence interval [CI]=1.02-1.07) and 1.11 (95% CI=1.09-1.13), respectively. These RRs were comparable to those obtained for controls (1.06 and 1.12, respectively). By contrast, the RRs of scooter crashes were significantly higher in the T2D group than in the control group during the 1 year (1.28 vs. 1.08, p < 0.001) and 2 years (1.32 vs. 1.08, p < 0.001) following diabetes diagnosis. CONCLUSION: T2D diagnosis was associated with a moderate but significant increase in the risk of MVCs among scooter drivers, but not among car drivers.

Validation of a Deep Learning-based Automatic Detection Algorithm for Measurement of Endotracheal Tube-to-Carina Distance on Chest Radiographs.

BACKGROUND: Improper endotracheal tube (ETT) positioning is frequently observed and potentially hazardous in the intensive care unit. The authors developed a deep learning-based automatic detection algorithm detecting the ETT tip and carina on portable supine chest radiographs to measure the ETT-carina distance. This study investigated the hypothesis that the algorithm might be more accurate than frontline critical care clinicians in ETT tip detection, carina detection, and ETT-carina distance measurement. METHODS: A deep learning-based automatic detection algorithm was developed using 1,842 portable supine chest radiographs of 1,842 adult intubated patients, where two board-certified intensivists worked together to annotate the distal ETT end and tracheal bifurcation. The performance of the deep learning-based algorithm was assessed in 4-fold cross-validation (1,842 radiographs), external validation (216 radiographs), and an observer performance test (462 radiographs) involving 11 critical care clinicians. The performance metrics included the errors from the ground truth in ETT tip detection, carina detection, and ETT-carina distance measurement. RESULTS: During 4-fold cross-validation and external validation, the median errors (interquartile range) of the algorithm in ETT-carina distance measurement were 3.9 (1.8 to 7.1) mm and 4.2 (1.7 to 7.8) mm, respectively. During the observer performance test, the median errors (interquartile range) of the algorithm were 2.6 (1.6 to 4.8) mm, 3.6 (2.1 to 5.9) mm, and 4.0 (1.7 to 7.2) mm in ETT tip detection, carina detection, and ETT-carina distance measurement, significantly superior to that of 6, 10, and 7 clinicians (all P < 0.05), respectively. The algorithm outperformed 7, 3, and 0, 9, 6, and 4, and 5, 5, and 3 clinicians (all P < 0.005) regarding the proportions of chest radiographs within 5 mm, 10 mm, and 15 mm error in ETT tip detection, carina detection, and ETT-carina distance measurement, respectively. No clinician was significantly more accurate than the algorithm in any comparison. CONCLUSIONS: A deep learning-based algorithm can match or even outperform frontline critical care clinicians in ETT tip detection, carina detection, and ETT-carina distance measurement.

Risk of motorcycle collisions among patients with type 2 diabetes: a population-based cohort study with age and sex stratifications in Taiwan.

AIMS: To investigate the overall and sex-age-specific absolute and relative risks of motorcycle collisions at road traffic accidents among patients with type 2 diabetes. METHODS: A cohort study in Taiwan was conducted by following 989,495 patients with type 2 diabetes and the same number of matched controls recruited between 2010 and 2012 to the end of 2016. Collision events by motorcycle driver victims were identified from the Police-reported Traffic Accident Registry. Overall and sex-age-specific incidence rates of collision involving motorcycle driver victims were estimated under Poisson assumption. The Cox proportional hazard regression models were performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of collision in association with type 2 diabetes. RESULTS: Over an up to 7 years of follow-up, patients with type 2 diabetes had a higher incidence rate of motorcycle collision than controls at 1.16 and 0.89 per 100 person-years, respectively, which represented a significantly elevated HR of 1.28 (95% CI 1.27-1.30) after adjusting for potential confounders including various diabetic complications. The elevated HR was similarly seen in both men and women patients, and was significantly decreasing with increasing age regardless of sex. Little evidence supported the dose-response relationship between duration of type 2 diabetes and motorcycle collision risk. CONCLUSIONS: After adjustment for common diabetic complications and comorbidities that could impair driving performance, patients with type 2 diabetes still suffered from increased risk of motorcycle collisions, regardless of sex, but was more evident in younger than in older patients.

Type 2 diabetes mellitus increases the severity of non-fatal injuries, but not the risk of fatal injuries, among driver victims of motor vehicle crashes in Taiwan.

OBJECTIVES: Limited information is available on whether diabetes increases the severity of injuries from motor vehicle crashes (MVCs). This study aimed to investigate the association of type 2 diabetes with injury severity among driver victims of MVCs. METHODS: This cohort study involved 75,737 adult driver victims with type 2 diabetes from Taiwan's Police-Reported Traffic Accident Registry in 2015-2017, along with 150,911 sex-, age-, and calendar year-matched controls. The severity level of non- fatal injuries was derived from the International Classification of Diseases Programs for Injury Categorization based on the diagnostic codes of National Health Insurance claims within 3 days after an MVC. Information on fatal injuries within 3 days after an MVC was obtained from the Taiwan Death Registry. Logistic regression models were used to estimate the odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) of injury severity in association with type 2 diabetes. RESULTS: After adjusting for potential confounders, driver victims with type 2 diabetes experienced significantly higher risks of mild and severe non-fatal injuries than their counterparts without diabetes, with covariate-adjusted ORs of 1.08 (95% CI, 1.05 to 1.11) and 1.28 (95% CI, 1.20 to 1.37), respectively. By contrast, the adjusted OR for fatal injuries was not significantly elevated, at 1.02 (95% CI, 0.89 to 1.18). Similar results were found when car and scooter driver victims were analyzed separately. CONCLUSIONS: Type 2 diabetes was found to moderately increase the severity of non-fatal injuries from MVCs among car and scooter driver victims.

Integration of an Intensive Care Unit Visualization Dashboard (i-Dashboard) as a Platform to Facilitate Multidisciplinary Rounds: Cluster-Randomized Controlled Trial.

BACKGROUND: Multidisciplinary rounds (MDRs) are scheduled, patient-focused communication mechanisms among multidisciplinary providers in the intensive care unit (ICU). OBJECTIVE: i-Dashboard is a custom-developed visualization dashboard that supports (1) key information retrieval and reorganization, (2) time-series data, and (3) display on large touch screens during MDRs. This study aimed to evaluate the performance, including the efficiency of prerounding data gathering, communication accuracy, and information exchange, and clinical satisfaction of integrating i-Dashboard as a platform to facilitate MDRs. METHODS: A cluster-randomized controlled trial was performed in 2 surgical ICUs at a university hospital. Study participants included all multidisciplinary care team members. The performance and clinical satisfaction of i-Dashboard during MDRs were compared with those of the established electronic medical record (EMR) through direct observation and questionnaire surveys. RESULTS: Between April 26 and July 18, 2021, a total of 78 and 91 MDRs were performed with the established EMR and i-Dashboard, respectively. For prerounding data gathering, the median time was 10.4 (IQR 9.1-11.8) and 4.6 (IQR 3.5-5.8) minutes using the established EMR and i-Dashboard (P<.001), respectively. During MDRs, data misrepresentations were significantly less frequent with i-Dashboard (median 0, IQR 0-0) than with the established EMR (4, IQR 3-5; P<.001). Further, effective recommendations were significantly more frequent with i-Dashboard than with the established EMR (P<.001). The questionnaire results revealed that participants favored using i-Dashboard in association with the enhancement of care plan development and team participation during MDRs. CONCLUSIONS: i-Dashboard increases efficiency in data gathering. Displaying i-Dashboard on large touch screens in MDRs may enhance communication accuracy, information exchange, and clinical satisfaction. The design concepts of i-Dashboard may help develop visualization dashboards that are more applicable for ICU MDRs. TRIAL REGISTRATION: ClinicalTrials.gov NCT04845698; https://clinicaltrials.gov/ct2/show/NCT04845698.

Non-B, Non-C Hepatocellular Carcinoma in an HBV- and HCV-Endemic Area: A Community-Based Prospective Longitudinal Study.

A large community cohort of adults who participated in a health screening program from 2003 to 2013 were prospectively analyzed for the risk factors of non-B, non-C (NBNC) hepatocellular carcinoma (HCC). The serostatus of hepatitis B and C of 52,642 participants was linked to the mortality and cancer registration data of the Health and Welfare Data Science Center, Ministry of Health and Welfare, Taiwan. During a median follow-up of 6 years, 35 of the 43,545 participants who were negative for both HBsAg and anti-HCV antibody developed HCC. Multivariate Cox regression analysis revealed that old age (hazard ratio, 95% CI: 1.058, 1.019−1.098, p = 0.003); male sex (2.446, 1.200−4.985, p = 0.014); high aspartate aminotransferase levels (6.816, 2.945−15.779, p < 0.001); fibrosis index based on four factor score (1.262, 1.154−1.381, p < 0.001); blood sugar (1.009, 1.002−1.015, p = 0.006); and alpha-fetoprotein ≥15 ng/mL (143.938, 43.094−480.760, p < 0.001) were independent risk factors for HCC. By contrast, triglyceride >150 mg/dL was associated with a decreased risk of HCC (0.216, 0.074−0.625, p = 0.005). This prospective community-based study provided insights into the potential HCC risk factors which may shed some light in HCC prevention and screening.

Oral Nirmatrelvir/Ritonavir Therapy for COVID-19: The Dawn in the Dark?

Nirmatrelvir/ritonavir (Paxlovid™) is an effective and safe antiviral drug that inhibits the main protease (Mpro), 3CL protease, of SARS-CoV-2. A reduction in COVID-19-related hospitalization or death was observed in patients treated with nirmatrelvir/ritonavir within five days of symptom onset. Moreover, good oral availability enables the usage of nirmatrelvir/ritonavir, not only in hospitalized patients, but also among outpatients. Nirmatrelvir (PF-07321332) has been demonstrated to stop the spread of COVID-19 in animal models. Despite frequent mutations in the viral genomes of SARS-CoV-2, nirmatrelvir shows an effective antiviral effect against recent coronavirus mutants. Despite the promising antiviral effect of nirmatrelvir, there are several unresolved concerns. First, the final results of large-scale clinical trials for early therapy of mild cases of COVID-19 are not yet published. Second, the effectiveness of nirmatrelvir against upcoming variants in the coming years requires close monitoring. Considering the promising preliminary results of the EPIC-HR trial, nirmatrelvir/ritonavir in conjunction with vaccines and non-pharmacological interventions, may represent the dawn in the dark of the COVID-19 pandemic.

Risk of 30-day mortality and its association with alcohol concentration level among driver victims of motor vehicle crashes: comparison of population- and hospital-based designs.

BACKGROUND: Although blood alcohol concentration (BAC) is undoubtedly associated with increased risk of injury among driver victims involved in motor vehicle crashes (MVCs), some studies noted that high BAC was associated with reduced risk of mortality after injury. In addition, most of the previous studies included only injured patients admitted, which may lead to potential selection bias arising from exclusion of those with minor injury and those who died at the accident scene of MVC. METHOD: The population-based design included 2586 driver victims with BAC equivalent >0 and 10 307 matched controls (BAC equivalent =0) selected from the Police-reported Traffic Accident Registry from 1 July to 31 December 2016 in Taiwan. The hospital-based design comprised a subset sample, which included 517 driver victims with BAC equivalent >0 and 662 with BAC equivalent =0 hospitalised on the same day the MVCs occurred. Conditional logistic regression models with adjustment for potential confounders were used to estimate the ORs and 95% CIs of 30-day mortality associated with BAC equivalent level. RESULTS: In the population-based design, a positive dose-gradient relationship was observed between BAC equivalent level and 30-day mortality, with a covariate-adjusted OR of 3.77 (95% CI 1.84 to 7.72), 6.19 (95% CI 3.13 to 12.26) and 7.75 (95% CI 4.51 to 13.32) for low, moderate and high BAC equivalent levels, respectively. By contrast, the hospital-based design revealed no significant association between 30-day mortality and alcohol concentration regardless of the BAC equivalent level. CONCLUSION: The association between BAC equivalent level and short-term mortality could have been overlooked in hospital-based studies that excluded MVC-related deaths outside hospital settings.

Prognostic Factors for Lower Extremity Amputation in Diabetic Foot Ulcer Patients.

BACKGROUND: Infection and necrosis are common acute complications of diabetic foot ulcer (DFU). Amputation is the last resort treatment to control severe diabetic foot infection. Many risk factors for progression of infection that lead to amputation are disclosed. However, the prediction for the amputation necessity is clinically important to stratify risk and target intervention for limb salvage. Accordingly, this study investigates the predictive risk factors for amputation need in diabetic patients with foot ulcer. METHODS: We retrospectively studied the medical records of the DFU patients from January to December in 2017. The patients wereclassifi ed as the non-amputation and amputation groups. Patient characteristics, clinical features of vasculopathy and neuropathy (ankle brachial index [ABI] and monofilament test), and laboratory features (hemoglobin A1C [HbA1C], C-reactive protein [CRP], and white blood cell [WBC] counts) were analyzed, using the univariate and multivariate analyses. RESULTS: Of the eligible 73 cases (age 41 to 76 years), 14 (19.2%) underwent lower limb amputation. Using the multivariate model, significate risk factors included low ABI (< 0.8; adjusted odds ratio [OR] = 17.9; p = 0.003), the presence of neuropathy (adjusted OR = 5.6; p = 0.005), and HbA1C > 8.0% (adjusted OR = 4.7; p = 0.016). CONCLUSIONS: Several predictors, such as vasculopathy, neuropathy, higher HbA1C and CRP, were associated with amputation necessities in DFU patients. Of note, the vasculopathy was found to be the most important powerful. Therefore, identification and correction of these predictors would improve the quality care and patient prognosis.

An Epidemiological Analysis of Head Injuries in Taiwan.

Traumatic head injuries occur frequently in Taiwan, having catastrophic consequences for the victims, their families, and society as a whole. However, little is known about the risk factors at the population level in Taiwan. The primary aim of this study was to obtain more information on these variables and their relationships. Another aim was to analyze the effects of independent variables such as sex, age, residency, pre-existing conditions, mechanisms of injury, associated injuries, and severity on the probability of in-hospital death. Using the 2007⁻2008 total admissions claim dataset from Taiwan's National Health Insurance system, total admissions due to acute head injury were selected for further analysis. The obtained data included patient demographics and trauma hospitalization rate. A total of 99,391 patients were admitted with head injury, 48,792 of which had moderate-to-severe head injury. There were 4935 cases recorded as in-hospital mortality and the standardized in-hospital mortality rate was 10.7 deaths per 100,000 person-years. The mortality rate increased with age. After adjustments, male sex, age older than 54 years, living in a rural area, lower monthly income, a Charlson comorbidity index greater than one, being a pedestrian hit by a motor vehicle, fall from a height, and having significant chest, abdominal, or lower extremity injury increased the risk of death during admission. This population-based analysis provides information about the incidence rate and death rate for admissions in Taiwan due to acute head injury and the factors that affect in-hospital mortality. Our results that highlight the risk factors for adverse outcome can help us prevent or improve rural area trauma care of head injury patients in the future.

Population-based cohort study suggesting a significantly increased risk of developing chronic obstructive pulmonary disease in people with type 2 diabetes mellitus.

AIMS: To investigate whether type 2 diabetes mellitus (T2DM) increases the risk of developing chronic obstructive pulmonary disease (COPD). METHODS: This population-based cohort study used Taiwan's National Health insurance claim data to investigate the association of T2DM with the risk of COPD. A total of 716,623 pairs of people (patients with T2DM and their age-, sex-, and calendar year-matched controls) were identified in 2002-2003 and were followed until the occurrence of newly-diagnosed COPD or the end of 2011. Cox proportional hazard models were used to relate COPD incidence to T2DM. RESULTS: People with T2DM experienced a higher incidence rate of COPD than controls (159.6 vs 122.7 per 104 person-years). After controlling for confounders, T2DM significantly increased the hazard of COPD (hazard ratio [HR] = 1.15, 95% confidence interval = 1.14-1.16). Stratified analysis indicated that the association between T2DM and COPD was slightly greater in women than in men (HR, 1.15 vs. 1.11) and in people aged <65 years than in people aged ≥65 years (HR, 1.17 vs. 1.05 in men; 1.16 vs. 1.13 in women). CONCLUSIONS: Our findings demonstrated a modest association of T2DM with the risk of developing COPD, possibly shedding light into the adverse effects of hyperglycemia on pulmonary function.

Socioeconomic Inequality in One-Year Mortality of Elderly People with Hip Fracture in Taiwan.

Hip fracture commonly results in considerable consequences in terms of disability, mortality, long-term institutional care and cost. Taiwan launched its universal health insurance coverage in 1995, which largely removes financial barriers to health care. This study aims to investigate whether socioeconomic inequality in one-year mortality exists among Taiwanese elderly people. This population-based cohort study included 193,158 elderly patients (≥65 years) admitted for hip fracture between 2000 and 2012. With over a one-year follow-up, 10.52% of the participants died from all causes. The mortality rate was low in the northern part of Taiwan and in urban and high-family-income areas. Multiple Poisson regression models further suggested that the level of >Q1-Q3 and >Q3-Max showed significantly reduced odds ratio of one-year mortality at 0.90 (95% confidence interval (CI), 0.87-0.93) and 0.77 (95% CI, 0.74-0.81), respectively, compared with that of the lowest family income level (i.e., Min.-Q1). Despite a monotonic decline in overall one-year mortality during the study period, socioeconomic inequality in one-year mortality rate remained evident. The annual percentage change in one-year mortality was higher (-2.86) in elderly people from families with high income (>Q3-Max.) than that for elderly patients from family with low income (Min.-Q1, -1.94). Accessibility, rather than affordability, to health care for hip fracture is probably responsible for the observed socioeconomic inequality.

Predictors of functional outcome after hanging injury.

PURPOSE: Suicide becomes a serious problem in today's society and hanging is a common method of suicide. We want to find the factors which can predict the final functional outcomes of these cases. METHODS: All patients who presented to Accident and Emergency Department (ED) of the National Cheng Kung University Hospital from 1st January 2005 to 31th December 2013 with a hanging injury were included in this study. All cases were divided into good outcome group and bad outcome group according to Glasgow Outcome Scale (GOS). Data was analyzed by Mann-Whitney test and chi-square test. RESULTS: Glasgow Coma Scale (GCS) < 3, pupil dilation and no pupillary light reflex both at the scene and ED were the factors to indicate poor functional outcome. Out-hospital cardiac arrest (OHCA), acidosis (pH < 7.2) and the need for intubation once arriving at ED were also related to poor functional outcome. OHCA cases all had poor functional outcome. CONCLUSION: GCS, pupil size, pupillary light reflex, OHCA and acidosis are useful as prognostic factors. GCS = 3 lead to a very poor outcome. However, the functional outcome seems good in patients with GCS>3. There parameters can help to predict the outcome before treatment.

Strategies to Prevent Acute Diarrhea and Upper Respiratory Tract Infection among Disaster Relief Workers.

BACKGROUND: Sickness among field relief workers prompted us to develop strategies for preventing manpower loss. Most studies have focused on the preparedness and safety of medical responders in the prepared phase, but those parameters are lacking in the response phase. This study attempted to identify effective ways to prevent medical team members from acquiring acute diarrhea and upper respiratory tract infection (URI) based on our field reports. This was a retrospective cohort study. The 56 team members were from eight missions in total, including medial disaster relief and international humanitarian assistance, deployed between June 2007 and February 2010. The demographics of the participating members and their actions were examined for association with acute diarrhea and upper respiratory tract infection episodes using a mixed-effect logistic regression model. One member (7.0%) with acute diarrhea and 11 (26.1%) members without acute diarrhea took doxycycline. The relationship between doxycycline and acute diarrhea episodes was not statistically signifi cant. However, while 6 of 14 team members (42.9%) with acute diarrhea used hand sanitizer, 35 of 42 team members (83.3%) without diarrhea used hand sanitizer. Only hand sanitizer use was statistically related to the prevention of acute diarrhea and URI (p value = 0.021, 0.032). Hand sanitizer is suggested to protect medical teams from acute diarrhea and URI in such challenging environments. Chemoprophylaxis for malaria remains dependent on the area of deployment. METHODS: Sickness among field relief workers prompted us to develop strategies for preventing manpower loss. Most studies have focused on the preparedness and safety of medical responders in the prepared phase, but those parameters are lacking in the response phase. This study attempted to identify effective ways to prevent medical team members from acquiring acute diarrhea and upper respiratory tract infection (URI) based on our field reports. This was a retrospective cohort study. The 56 team members were from eight missions in total, including medial disaster relief and international humanitarian assistance, deployed between June 2007 and February 2010. The demographics of the participating members and their actions were examined for association with acute diarrhea and upper respiratory tract infection episodes using a mixed-effect logistic regression model. One member (7.0%) with acute diarrhea and 11 (26.1%) members without acute diarrhea took doxycycline. The relationship between doxycycline and acute diarrhea episodes was not statistically signifi cant. However, while 6 of 14 team members (42.9%) with acute diarrhea used hand sanitizer, 35 of 42 team members (83.3%) without diarrhea used hand sanitizer. Only hand sanitizer use was statistically related to the prevention of acute diarrhea and URI (p value = 0.021, 0.032). Hand sanitizer is suggested to protect medical teams from acute diarrhea and URI in such challenging environments. Chemoprophylaxis for malaria remains dependent on the area of deployment. RESULTS: Sickness among field relief workers prompted us to develop strategies for preventing manpower loss. Most studies have focused on the preparedness and safety of medical responders in the prepared phase, but those parameters are lacking in the response phase. This study attempted to identify effective ways to prevent medical team members from acquiring acute diarrhea and upper respiratory tract infection (URI) based on our field reports. This was a retrospective cohort study. The 56 team members were from eight missions in total, including medial disaster relief and international humanitarian assistance, deployed between June 2007 and February 2010. The demographics of the participating members and their actions were examined for association with acute diarrhea and upper respiratory tract infection episodes using a mixed-effect logistic regression model. One member (7.0%) with acute diarrhea and 11 (26.1%) members without acute diarrhea took doxycycline. The relationship between doxycycline and acute diarrhea episodes was not statistically signifi cant. However, while 6 of 14 team members (42.9%) with acute diarrhea used hand sanitizer, 35 of 42 team members (83.3%) without diarrhea used hand sanitizer. Only hand sanitizer use was statistically related to the prevention of acute diarrhea and URI (p value = 0.021, 0.032). Hand sanitizer is suggested to protect medical teams from acute diarrhea and URI in such challenging environments. Chemoprophylaxis for malaria remains dependent on the area of deployment. CONCLUSION: Sickness among field relief workers prompted us to develop strategies for preventing manpower loss. Most studies have focused on the preparedness and safety of medical responders in the prepared phase, but those parameters are lacking in the response phase. This study attempted to identify effective ways to prevent medical team members from acquiring acute diarrhea and upper respiratory tract infection (URI) based on our field reports. This was a retrospective cohort study. The 56 team members were from eight missions in total, including medial disaster relief and international humanitarian assistance, deployed between June 2007 and February 2010. The demographics of the participating members and their actions were examined for association with acute diarrhea and upper respiratory tract infection episodes using a mixed-effect logistic regression model. One member (7.0%) with acute diarrhea and 11 (26.1%) members without acute diarrhea took doxycycline. The relationship between doxycycline and acute diarrhea episodes was not statistically signifi cant. However, while 6 of 14 team members (42.9%) with acute diarrhea used hand sanitizer, 35 of 42 team members (83.3%) without diarrhea used hand sanitizer. Only hand sanitizer use was statistically related to the prevention of acute diarrhea and URI (p value = 0.021, 0.032). Hand sanitizer is suggested to protect medical teams from acute diarrhea and URI in such challenging environments. Chemoprophylaxis for malaria remains dependent on the area of deployment.

The role of video-assisted thoracoscopic surgery in therapeutic lung resection for pulmonary tuberculosis.

BACKGROUND: Video-assisted thoracoscopic surgery (VATS) has been considered an effective diagnostic modality for pulmonary tuberculosis. Its feasibility in therapeutic lung resection, however, has not been validated. METHODS: The medical records of patients who underwent VATS or a thoracotomy for therapeutic resection of pulmonary tuberculosis between January 2007 and March 2011 were reviewed for age, sex, indications for surgery, approach and procedures, preoperative sputum culture status, operative time, blood loss, hospital stay, and complications. RESULTS: One hundred twenty-three patients were enrolled. Sixty-three were successfully treated using VATS and 60 were converted to thoracotomy. The number of VATS wedge resections was significantly higher (p = 0.004). Patients who underwent VATS had significantly less blood loss, shorter hospital stays, and fewer complications (p = 0.031, 0.000, and 0.022, respectively). Lesions treated with a pneumonectomy or that required thoracoplasty failed to be done using VATS (p = 0.054 and 0.002, respectively). Patients who underwent VATS had slightly more isolated lobectomies and significantly (p = 0.005) shorter hospital stays than did thoracotomy patients. Concomitant and isolated segmentectomies were done using VATS, but there were significantly fewer than for thoracotomy patients (p = 0.033). CONCLUSIONS: Video-assisted thoracoscopic surgery is effective for therapeutic wedge resections, isolated lobectomies, and simple segmentectomies and lobectomies combined with wedge resections or segmentectomies for pulmonary tuberculosis. Tuberculosis lesions that require a pneumonectomy or thoracoplasty are still major challenges for VATS.