TB notifications among citizens and non-citizens in Taiwan.

Substantial under-notification of TB among non-citizens has been noted previously. Foreign workers with TB who were deported previously could stay for anti-TB treatment since 2014. We assessed whether TB notification improved.We used the National Health Insurance (NHI) reimbursement database to identify potential TB cases that required notification. We matched potential TB cases with the national TB registry to determine whether they had been notified. Cases notified within 7 days of the initiation of anti-TB treatment were classified as having timely notification.Of 53,208 potential TB cases identified in 2016-2020, 96.6% had been notified. The notification proportion increased from 95.5% in 2016 to 97.1% in 2020 among citizens and from 89.0% in 2016 to 96.9% in 2020 among non-citizens. Factors significantly associated with non-notification among non-citizens were previously notified TB (aOR 35.5, 95% CI 17.7-70.9), without health insurance (aOR 15.4, 95% CI 9.3-25.2) and having only one visit to health care facilities in 6 months (aOR 2.3, 95% CI 1.4-3.8). The proportion of TB cases notified within 7 days was 87% overall, 86.2% among citizens, and 96.5% among non-citizens.TB notification has improved, especially among non-citizens, following a policy change that allows foreign workers to stay for anti-TB treatment..

The associations of pre-pregnancy BMI and gestational weight gain with maternal gut microbiota.

Previous studies reporting the association between gut microbiota dysbiosis and maternal obesity were mostly confined at the phylum level or at postpartum period. This study aimed to investigate the dynamic changes in gut microbial communities associated with maternal obesity at different time points of pregnancy. We performed 16S rRNA gene V3-V4 amplicon sequencing on stool samples from 110 women in all three trimesters and 1-month postpartum. Maternal gut microbial communities associated with maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) were explored. The influence of maternal obesity on gut microbiota trajectories was determined based on longitudinal shifts in community clusters across the trimesters. The richness index of alpha diversity decreased with the progression of pregnancy, particularly in women with excessive GWG. The evenness index in 2nd trimester was found inversely associated with GWG. Various taxonomic differences in 1st trimester were associated with excessive GWG, whereas limited taxonomic differences in 2nd and 3rd trimesters were associated with pre-pregnancy BMI or GWG. Meanwhile, the gut microbiota trajectory with especially depleted genus Faecalibacterium in 1st trimester was associated with excessive GWG (adjusted odds ratio 5.7, 95% confidence interval 1.2-28.1). Moreover, the longitudinal abundances of genus Lachnospiraceae ND3007 group across gestations were depleted in women with overweight/obese pre-pregnancy BMI, while genus Bifidobacterium enriched in women with excessive GWG. Our study shows that dysbiosis of the gut microbiota in early pregnancy may have a significant impact on excess GWG. The abundance of the genus Faecalibacterium in 1st trimester may be a potential risk factor. Clinical trial number: NCT03785093 (https://classic.clinicaltrials.gov/ct2/show/NCT03785093).

A regional examination of the footprint of agriculture and urban cover on stream water quality.

Freshwater systems in cold regions, including the Laurentian Great Lakes, are threatened by both eutrophication and salinization, due to excess nitrogen (N), phosphorus (P) and chloride (Cl-) delivered in agricultural and urban runoff. However, identifying the relative contribution of urban vs. agricultural development to water quality impairment is challenging in watersheds with mixed land cover, which typify most developed regions. In this study, a self-organizing map (SOM) analysis was used to evaluate the contributions of various forms of land cover to water quality impairment in southern Ontario, a population-dense, yet highly agricultural region in the Laurentian Great Lakes basin where urban expansion and agricultural intensification have been associated with continued water quality impairment. Watersheds were classified into eight spatial clusters, representing four categories of agriculture, one urban, one natural, and two mixed land use clusters. All four agricultural clusters had high nitrate-N concentrations, but levels were especially high in watersheds with extensive corn and soybean cultivation, where exceedances of the 3 mg L-1 water quality objective dramatically increased above a threshold of |∼30 % watershed row crop cover. Maximum P concentrations also occurred in the most heavily tile-drained cash crop watersheds, but associations between P and land use were not as clear as for N. The most urbanized watersheds had the highest Cl- concentrations and expansions in urban area were mostly at the expense of surrounding agricultural land cover, which may drive intensification of remaining agricultural lands. Expansions in tile-drained corn and soybean area, often at the expense of mixed, lower intensity agriculture are not unique to this area and suggest that river nitrate-N levels will continue to increase in the future. The SOM approach provides a powerful means of simplifying heterogeneous land cover characteristics that can be associated with water quality patterns and identify problem areas to target management.

An interpretable knee replacement risk assessment system for osteoarthritis patients.

Objective: Knee osteoarthritis (OA) is a complex disease with heterogeneous representations. Although it is modifiable to prevention and early treatment, there still lacks a reliable and accurate prognostic tool. Hence, we aim to develop a quantitative and self-administrable knee replacement (KR) risk stratification system for knee osteoarthritis (KOA) patients with clinical features. Method: A total of 14 baseline features were extracted from 9592 cases in the Osteoarthritis Initiative (OAI) cohort. A survival model was constructed using the Random Survival Forests algorithm. The prediction performance was evaluated with the concordance index (C-index) and average receiver operating characteristic curve (AUC). A three-class KR risk stratification system was built to differentiate three distinct KR-free survival groups. Thereafter, Shapley Additive Explanations (SHAP) was introduced for model explanation. Results: KR incidence was accurately predicted by the model with a C-index of 0.770 (±0.0215) and an average AUC of 0.807 (±0.0181) with 14 clinical features. Three distinct survival groups were observed from the ten-point KR risk stratification system with a four-year KR rate of 0.79%, 5.78%, and 16.2% from the low, medium, and high-risk groups respectively. KR is mainly caused by pain medication use, age, surgery history, diabetes, and a high body mass index, as revealed by SHAP. Conclusion: A self-administrable and interpretable KR survival model was developed, underscoring a KR risk scoring system to stratify KOA patients. It will encourage regular self-assessments within the community and facilitate personalised healthcare for both primary and secondary prevention of KOA.

Genetic association of COVID-19 severe versus non-severe cases by RNA sequencing in patients hospitalised in Hong Kong.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has caused extensive disruption of public health worldwide. There were reports of COVID-19 patients having multiple complications. This study investigated COVID-19 from a genetic perspective. METHODS: We conducted RNA sequencing (RNA-Seq) analysis of respiratory tract samples from 24 patients with COVID-19. Eight patients receiving mechanical ventilation or extracorporeal membrane oxygenation were regarded as severe cases; the remaining 16 patients were regarded as non-severe cases. After quality control, statistical analyses were performed by logistic regression and the Kolmogorov-Smirnov test to identify genes associated with disease severity. RESULTS: Six genes were associated with COVID-19 severity in both statistical tests, namely RPL15, BACE1-AS, CEPT1, EIF4G1, TMEM91, and TBCK. Among these genes, RPL15 and EIF4G1 played roles in the regulation of mRNA translation. Gene ontology analysis showed that the differentially expressed genes were mainly involved in nervous system diseases. CONCLUSION: RNA sequencing analysis showed that severe acute respiratory syndrome coronavirus 2 infection is associated with the overexpression of genes involved in nervous system disorders.

Evaluation of imaging performance of major image guidance systems

Purpose: The imaging characteristics of two popular kV cone-beam CT (CBCT) and two MVCT systems utilised in image-guided radiation therapy (IGRT) were evaluated. Materials and methods: The study was performed on Varian Clinac iX, Elekta Synergy S, Siemens Oncor, and Tomotherapy. A CT phantom (Catphan-504, Phantom Laboratory, Salem, NY) was scanned for measurements of image quality including image noise, uniformity, density accuracy, spatial resolution, contrast linearity, and contrast resolution. The measurement results were analysed using in-house image analysis software. Reproducibility, position correction, and geometric accuracy were also evaluated with markers in a smaller alignment phantom. The performance evaluation compared volumetric image properties from these four systems with those from a conventional diagnostic CT (CCT). Results: It was shown that the linearity of the two kV CBCT was fairly consistent with CCT. The Elekta CBCT with half-circle 27-cm FOV had higher CT numbers than the other three systems. The image noises of the Elekta kV CBCT, Siemens MV CBCT, and Tomotherapy fan-beam CT (FBCT) are about 2-4 times higher than that of the Varian CBCT. The spatial resolutions of two kV CBCTs and two MV CBCTs were 8-11 lp/cm and 3-5 lp/cm, respectively. Conclusion: Elekta CBCT provided a faster image reconstruction and low dose per scan for half-circle scanning. Varian CBCT had relatively lower image noise. Tomotherapy FBCT had the best uniformity.

17-year follow-up of a randomized prospective controlled trial of adjuvant intravesical doxorubicin in the treatment of superficial bladder cancer

PURPOSE: To evaluate the efficacy of adjuvant intravesical doxorubicin in superficial transitional cell carcinoma of the urinary bladder on long-term follow-up. MATERIALS AND METHODS: Between July 1986 and November 1991, all patients harboring superficial bladder cancers (Ta or T1) with one or more of these criteria (stage > a, grade > 1, size > 1 cm, multiple or recurrent tumors) were randomized to receive either 50 mg doxorubicin or no adjuvant therapy. Patients with recurrences were allowed to receive doxorubicin or other intravesical agents. Recurrence, progression and survival were analyzed. RESULTS: There were 82 patients included (64 males and 18 females). The mean age was 64 years. Forty-six patients were randomized to the doxorubicin group and 36 to the control group. Final analysis was made at median follow-up of 45, 128 and 131.5 months for recurrence, progression and survival, respectively. Recurrence free, progression free and disease specific survival did not differ significantly between groups. The 10-year Kaplan-Meier estimates for recurrence free, progression free and disease specific survival were 67 percent, 84 percent and 92 percent, respectively for the doxorubicin group, and were 50 percent, 89 percent and 97 percent, respectively for the control group. Tumor size predicted recurrence (p = 0.013) and grade predicted progression (p = 0.004) with multivariate analysis. CONCLUSIONS: Adjuvant intravesical doxorubicin could not be shown to improve recurrence, progression and survival of superficial bladder cancer, compared with control on long-term follow-up. Tumor size and grade were shown to be prognostic factors for recurrence and progression, respectively.