Highly Moisture-Resistant Flexible Thin-Film-Based Triboelectric Nanogenerator for Environmental Energy Harvesting and Self-Powered Tactile Sensing.

Triboelectric nanogenerator (TENG) has been demonstrated as a sustainable energy utilization method for waste mechanical energy and self-powered system. However, the charge dissipation of frictional layer materials in a humid environment severely limits their stable energy supply. In this work, a new method is reported for preparing polymer film as a hydrophobic negative friction material by solution blending poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) and polyvinyl chloride (PVC), doping with titanium dioxide (TiO2) nanoparticles, and further surface patterning modification. The P-TENG composed of the PVDF-HFP/PVC/TiO2 composite film with optimized hydrophobic performance (WCA = 124°) achieved an output voltage of 235 V and a short-circuit current of 35 µA, which is approximately three times that of the bare PVDF-HFP-based TENG. Under charge excitation, the transferred charge of the P-TENG can reach 35 nC. When the external load resistance is 5.5 MΩ, the output peak power density can reach 1.4 W m-2. Meanwhile, the hydrophobic surface layer with a rough surface structure enables the device to overcome the influence of water molecules on charge transfer in a humid environment, quickly recover, and maintain a high output. The P-TENG can effectively monitor finger flexibility and strength and realize real-time evaluation of the exercise state and hand fatigue of the elderly and rehabilitation trainers. It has broad application prospects in self-powered intelligent motion sensing, soft robotics, human-machine interaction, and other fields.

Colorectal cancer screening: results from the World Trade Center Health Registry cohort.

PURPOSE: Little is known about colorectal cancer screening in 9/11 World Trade Center (WTC)-exposed populations. We utilized survey data from the WTC Health Registry (WTCHR) to examine associations between enrollees' characteristics and colorectal cancer (CRC) screening. METHODS: We studied 22,061 enrollees aged 50-75 who completed the WTCHR follow-up survey in 2015-2016. Those with a history of CRC were excluded. Screening was defined as a self-reported, routine colonoscopy or sigmoidoscopy during the 12-month period prior to the survey. Multivariable log binomial regression identified factors associated with screening in the 12 months preceding the survey. We also stratified by age group. RESULTS: Of 22,061 enrollees, 23% were screened, with largely similar rates across age groups. Higher screening percentages were seen in selected groups including non-Hispanic Black enrollees (26.4%), males (24.3%), those married/living with a partner (24.1%), those with a higher household income (≥ $150 k, 25.4%), those who received services from the WTC Health Program (25.6%), and those with greater perceived social support (24.4%). On multivariable analyses, non-Hispanic Black enrollees [adjusted relative risk (aRR) = 1.30, 95% confidence interval (CI) 1.19-1.42] were significantly more likely to report screening, even after stratifying by age group. Hispanic enrollees, those with a higher household income, those with increased perceived social support, and those with diagnosed medical conditions under 70 years old were also associated with screening. CONCLUSION: We found that non-Hispanic Black compared with non-Hispanic White enrollees were more likely to obtain screening for CRC. Continued efforts to promote health and wellness of WTC-exposed population is essential.

Hydrophobic TPU/CNTs-ILs Ionogel as a Reliable Multimode and Flexible Wearable Sensor for Motion Monitoring, Information Transfer, and Underwater Sensing.

Ionogel-based sensors have gained widespread attention in recent years due to their excellent flexibility, biocompatibility, and multifunctionality. However, the adaptation of ionogel-based sensors in extreme environments (such as humid, acidic, alkaline, and salt environments) has rarely been studied. Here, thermoplastic polyurethane/carbon nanotubes-ionic liquids (TPU/CNTs-ILs) ionogels with a complementary sandpaper morphology on the surface were prepared by a solution-casting method with a simple sandpaper as the template, and the hydrophobic flexible TPU/CNTs-ILs ionogel-based sensor was obtained by modification using nanoparticles modified with cetyltrimethoxysilane. The hydrophobicity improves the environmental resistance of the sensor. The ionogel-based sensor exhibits multimode sensing performance and can accurately detect response signals from strain (0-150%), pressure (0.1-1 kPa), and temperature (30-100 °C) stimuli. Most importantly, the hydrophobic TPU/CNTs-ILs ionogel-based sensors can be used not only as wearable strain sensors to monitor human motion signals but also for information transfer, writing recognition systems, and underwater activity monitoring. Thus, the hydrophobic TPU/CNTs-ILs ionogel-based sensor offers a new strategy for wearable electronics, especially for applications in extreme environments.

Evaluation of activities of daily living using an electronic version of the Longshi Scale in patients with stroke: reliability, consistency, and preference.

BACKGROUND: The Longshi Scale is a pictorial assessment tool for evaluating activities of daily living (ADL) in patients with stroke. The paper-based version presents challenges; thus, the WeChat version was created to enhance accessibility. Herein, we aimed to validate the inter-rater and test-retest reliabilities of the WeChat version of the Longshi Scale and explore its potential clinical applications. METHODS: We recruited 115 patients with stroke in the study. The ADL results of each patient were assessed using both the WeChat and paper-based version of the Longshi Scale; each evaluation was conducted by 28 health professionals and 115 caregivers separately. To explore the test-retest reliability of the WeChat version, 22 patients were randomly selected and re-evaluated by health professionals using the WeChat version. All evaluation criteria were recorded, and all evaluators were surveyed to indicate their preference between the two versions. RESULTS: Consistency between WeChat and the paper-based Longshi Scale was high for ADL scores by health professionals (ICC2,1 = 0.803-0.988) and caregivers (ICC2,1 = 0.845-0.983), as well as for degrees of disability (κw = 0.870 by professionals; κw = 0.800 by caregivers). Bland-Altman analysis showed no significant discrepancies. The WeChat version exhibited good test-retest reliability (κw = 0.880). The WeChat version showed similar inter-rater reliability in terms of the ADL score evaluated using the paper-based version (ICC2,1 = 0.781-0.941). The time to complete assessments did not differ significantly, although the WeChat version had a shorter information entry time (P < 0.001, 95% confidence interval: -43.463 to -15.488). Health professionals favored the WeChat version (53.6%), whereas caregivers had no significant preference. CONCLUSIONS: The WeChat version of the Longshi Scale is reliable and serves as a suitable alternative for health professionals and caregivers to assess ADL levels in patients with stroke. The WeChat version of the Longshi Scale is considered user-friendly by health professionals, although it is not preferred by caregivers. TRIAL REGISTRATION: This study was approved by the Ethics Committee of the Second People's Hospital of Shenzhen (approval number: 20210812003-FS01) and registered on the Clinical Trial Register Center website: clinicaltrials.gov on January 31, 2022 (registration no.: NCT05214638).

Improving the efficacy and safety of concurrent chemoradiotherapy by neoadjuvant chemotherapy: a randomized controlled study of locally advanced cervical cancer with a large tumor.

OBJECTIVE: To compare the efficacy and safety of neoadjuvant chemotherapy combined with concurrent chemoradiotherapy (NACT+CCRT) vs. concurrent chemoradiotherapy (CCRT) in locally advanced cervical cancer (LACC) patients with large tumor masses. METHODS: LACC patients with localized tumor diameter >4 cm, were randomly allocated in an unblinded 1:1 ratio to NACT+CCRT or CCRT groups. Patients in the NACT+CCRT group were given paclitaxel combined with cisplatin (TP) NACT every 3 weeks for 2 cycles, followed by CCRT, with the chemotherapy regimen the same as for NACT. CCRT group were given CCRT with the same as for NACT. RESULTS: From March 1, 2019, to June 30, 2021, 146 patients were included in the final analysis. Sixty-eight (93.2%) patients in the NACT+CCRT group and 66 (90.4%) patients in the CCRT group completed the expected treatment course. The complete response (CR) rate in the NACT+CCRT group was significantly higher than in the CCRT group (87.7% vs. 67.6%, χ²=54.540, p=0.000). In the NACT+CCRT group, the 1- and 2-year overall survival (OS) rates were significantly higher than those in the CCRT group (96% vs. 89% and 89% vs. 79%, χ²=5.737, p=0.017). Additionally, the rate of recurrences and distant metastases was significantly lower in the NACT+CCRT group than in the CCRT group (4.11% vs. 7.35%, χ²=4.059, p=0.021). Most treatment-related adverse events in both groups were grade 3. CONCLUSION: Compared to CCRT, NACT+CCRT might improve the treatment completion rate, increase CR rate and 1- and 2-year OS rates, and reduce distant metastases rate for LACC patients with large tumor masses.

Humidity-Resistant, Conductive Fabric-Based Triboelectric Nanogenerator for Efficient Energy Harvesting and Human-Machine Interaction Sensing.

With the rapid development of triboelectric nanogenerators (TENGs), the exploration of self-powered, flexible, and wearable electronic devices has attracted widespread attention. However, the choice of tribomaterials and high humidity environment have a significant impact on the triboelectricity of TENG. Therefore, we prepared a composite fabric (HPC) with superhydrophobic and conductive properties, which was used simultaneously as a tribopositive material and electrode for the construction of promising wearable TENGs. Specifically, the loading of polydopamine, carbon nanotubes, and polypyrrole on the surface of the cotton fabric makes it have not only conductivity but also enhanced tribopositive polarity. Then, cetyltrimethoxysilane was selected to modify it to obtain superhydrophobicity. Compared with the common TENGs with a separate tribolayer and electrode, the integrated HPC-TENG shows the advantages of simpler structure and lighter wear. Moreover, compared with the unmodified fabric-based TENG, the performance of the proposed HPC-TENG is improved by nearly 7.2 times, and the maximum power density can reach 2.6 W m-2. This remarkable output can be attributed to the combination of strong electron-giving groups, high electrical conductivity, and abundant micro- and nanorough structure of the HPC fabric. More importantly, due to the water repellency of the fabric surface, the high output performance can be maintained under high humidity conditions. In addition, HPC-TENG has potential applications as pressure sensors for human motion status monitoring and multichannel sensing for smart game blanket entertainment. The newly designed HPC-TENG offers a new strategy for the development of superhydrophobic fabrics with an electrical conductivity, energy harvesting, and self-powered sensor.

Post-traumatic stress disorder and risk of first-time and repeated opioid-related hospitalizations among World Trade Center Health Registry enrollees.

In 2021, and average of 220 deaths from opioid-related overdoses occurred daily in the US. Recent evidence suggests there is an association between post-traumatic stress disorder (PTSD) and increased opioid misuse, while little is known about opioid-related hospitalizations. This study used data from the World Trade Center Health Registry (WTCHR), a longitudinal cohort consisting of individuals directly exposed to the September 11th terrorist attacks with a high prevalence of resulting PTSD (3.8-29.6%). We linked WTCHR data to New York State hospitalization data to examine the question: do opioid-related hospitalizations (first time and repeated) differ by PTSD status. In a study sample of 37,968 adults, 145 experienced at least one episode of opioid-related hospitalization and 64 had repeated episodes during the study period. We found that in the 13-years post-9/11, individuals with PTSD had a significantly higher risk of a first-time opioid-related hospitalization (Hazard Ratio: 3.6, 95% CI: 2.7, 5.0) and repeated opioid-related hospitalizations (Hazard Ratio: 3.9, 95% CI: 2.7, 5.8) than those who did not have PTSD. Improved treatment of and increased screenings for PTSD may reduce the likelihood of opioid misuse in this population and consequently overdoses, hospitalizations, and healthcare costs.

Long-term care status for the elderly with different levels of physical ability: a cross-sectional survey in first-tier cities of China.

BACKGROUND: Long term care (LTC) services for functionally impaired senior citizens are crucial for addressing the challenges of aging. However, research on eligibility criteria and coverage of LTC in China is lacking. Our objective is to assess the current status of LTC and explore eligibility criteria and coverage for the elderly. METHODS: This is a cross-sectional study conducted in two first-tier cities in China. Residents aged 65 or over were recruited from a nursing home and four primary hospitals. Participants were divided into three groups (bedridden, domestic, and community), then six grades (grade one to six) according to the Longshi Scale, and their functional ability was assessed using the Modified Barthel Index. Information such as diseases, complications, and daily care needs were collected. Nursing staff were invited to indicate patients' needs for care. A one-way ANOVA test, Kruskal Wallis H test and Mann-Whitney U test were used to explore the differences of variables in three Longshi groups or Longshi grades. RESULTS: Among all 1157 participants, with an average age of 80.54, 69.3% were in the bedridden group. The most common diagnosis was stroke (71.4%), with the most prevalent complication being pulmonary infection (25.2%). In the nursing assessment, basic health care, disease care, activity care, complication prevention care and psychosocial care were summarized as the five main aspects of LTC for the elderly. Feeding, bathing, drinking, bowel management and bladder management were identified as the basic care which fulfills participants' basic physical needs in each Longshi group. Mouth care, artificial airway management, and body reposition, which can prevent immobility complications, were highly demanded by bedridden elderly. CONCLUSIONS: The elderly in grade one to three are the ones in need of LTC most. The content of LTC for elderly should include basic care which fulfills their basic physical needs and complication care which can prevent immobility complications. The evidence of this research may contribute to the design of LTC in China. TRIAL REGISTRATION: The study design was registered in the Chinese Clinical Trial Registry (ChiCTR-2000034067, Registered 22 Jun 2020, http://www.chictr.org.cn/showproj.aspx?proj=54770 ).

One-Stage Detection without Segmentation for Multi-Type Coronary Lesions in Angiography Images Using Deep Learning.

It is rare to use the one-stage model without segmentation for the automatic detection of coronary lesions. This study sequentially enrolled 200 patients with significant stenoses and occlusions of the right coronary and categorized their angiography images into two angle views: The CRA (cranial) view of 98 patients with 2453 images and the LAO (left anterior oblique) view of 176 patients with 3338 images. Randomization was performed at the patient level to the training set and test set using a 7:3 ratio. YOLOv5 was adopted as the key model for direct detection. Four types of lesions were studied: Local Stenosis (LS), Diffuse Stenosis (DS), Bifurcation Stenosis (BS), and Chronic Total Occlusion (CTO). At the image level, the precision, recall, mAP@0.1, and mAP@0.5 predicted by the model were 0.64, 0.68, 0.66, and 0.49 in the CRA view and 0.68, 0.73, 0.70, and 0.56 in the LAO view, respectively. At the patient level, the precision, recall, and F1scores predicted by the model were 0.52, 0.91, and 0.65 in the CRA view and 0.50, 0.94, and 0.64 in the LAO view, respectively. YOLOv5 performed the best for lesions of CTO and LS at both the image level and the patient level. In conclusion, the one-stage model without segmentation as YOLOv5 is feasible to be used in automatic coronary lesion detection, with the most suitable types of lesions as LS and CTO.

Cancer incidence in World Trade Center rescue and recovery workers by race and ethnicity.

INTRODUCTION: It is unclear whether differences in health outcomes by racial and ethnic groups among World Trade Center (WTC) rescue and recovery workers reflect those of the population of New York State (NYS) or show distinct patterns. We assessed cancer incidence in WTC workers by self-reported race and ethnicity, and compared it to population figures for NYS. METHODS: A total of 61,031 WTC workers enrolled between September 11, 2001 and January 10, 2012 were followed to December 31, 2015. To evaluate the association between race/ethnicity and cancer risk, Poisson regression analysis was used to estimate hazard ratios (HR) adjusted for WTC exposure, age, calendar year, sex and, for lung cancer, cigarette smoking. RESULTS: In comparison to Whites, Black workers had a higher incidence of prostate cancer (HR = 1.99, 95% CI = 1.69-2.34) and multiple myeloma (HR = 3.57, 95% CI = 1.97-6.45), and a lower incidence of thyroid (HR = 0.41, 95% CI = 0.22-0.78) and colorectal cancer (HR = 0.57; 95% CI = 0.33-0.98). Hispanic workers had a higher incidence of liver cancer (HR = 4.03, 95% CI = 2.23-7.28). Compared with NYS population, White workers had significantly higher incidence of prostate cancer (HR = 1.26, 95% CI = 1.18-1.35) and thyroid cancer (HR = 1.80, 95% CI = 1.55-2.08), while Black workers had significantly higher incidence of prostate cancer (HR = 1.22, 95% CI = 1.05-1.40). CONCLUSION: Cancer incidence in WTC workers generally reflects data from the NYS population, but some differences were identified that merit further investigation.

Mitogenome analysis reveals predominantly ancient Yellow River origin of population inhabiting Datong agro-pastoral ecotone along Great Wall.

The Datong Basin was an important arena for population movement and admixture between the Yellow River Valley and Eastern Steppe. In historical materials, the region was often the setting for a tug-of-war between Han farmers and non-Han nomads. The genetic makeup and population history of this Datong population has, however, remained uncertain. In this study, we analysed 289 mitogenomes from Datong individuals. Our primary findings were: (1) population summary statistics analysis revealed a high level of genetic diversity and strong signals of population expansion in the Datong population; (2) inter-population comparisons (PCA and Fst heatmap) exhibited a close clustering between the Datong population and Northern Han, especially northern frontier groups, such as the Inner Mongolia Han, Heilongjiang Han, Liaoning Han and Tianjin Han; (3) phylogeographic analysis of complete mitogenomes revealed the presence of different components in the maternal gene pools of Datong population-the northern East Asian component was dominant (66.44%), whereas the southern East Asians were the second largest component with 31.49%. We also observed a much reduced west Eurasian (2.07%) component; (4) direct comparisons with ancient groups showed closer relationship between Datong and Yellow River farmers than Eastern Steppe nomads. Despite, therefore, centuries of Eastern Steppe nomadic control over the Datong area, Yellow River farmers had a much more significant impact on the Datong population.

Cytosporones W and X: Two Mutually Converting Epimers from a Mangrove Endophytic Fungus Diaporthe sp. ZJHJYZ-1.

Two new octaketides, cytosporones W (1) and X (2), along with eight known cytosporone derivatives [(±)-3-9], were isolated from mangrove endophytic fungus Diaporthe sp. ZJHJYZ-1. Compounds 1 and 2 were a pair of epimers, whose configuration of C-1 could mutually convert, causing racemization of the lactone ring. The planar structures of compounds were elucidated through detailed 1D, 2D NMR, and HR-ESI-MS analysis. ECD spectra comparison and modified Mosher ester method were applied to determine the absolute configuration of 1 and 2. In bioassays, (±)-3 exhibited promising inhibitory activities against Bacillus subtilis, Pseudomonas aeruginosa, and Penicillium italicum with MIC, respectively, for 12.5, 12.5, and 3.13 µM.

Association of Rheumatoid Arthritis with Opioid Pain Medication Overuse among Persons Exposed to the 9/11 World Trade Center Disaster.

We examined the association of post-9/11 rheumatoid arthritis (RA) diagnosis with opioid pain medication overuse among enrollees in the World Trade Center Health Registry (WTCHR). Opioid overuse was defined as the self-reported intake of prescribed opioids at a higher dosage or more often than directed in the last 12 months on one of the two most recent WTCHR surveys (2015-2016, 2020-2021). Post-9/11 RA was ascertained through self-reports and subsequently validated following medical record release by the enrollees' physicians or medical records review. We excluded those with self-reported RA that was not validated by their physicians and those who did not report being prescribed opioid pain medication in the last 12 months. Multivariable log-binomial regression was conducted to examine the relationship between post-9/11 RA diagnosis and opioid pain medication overuse, adjusting for sociodemographic characteristics and 9/11-related posttraumatic stress disorder (PTSD) symptoms. Of the 10,196 study enrollees, 46 had confirmed post-9/11 RA. The post-9/11 RA patients were mostly females (69.6% vs. 37.7%), less frequently non-Hispanic White (58.7% vs. 73.2%) individuals, and less often had attained a higher level of education (76.1% vs. 84.4%) compared to those without post-9/11 RA. Opioid pain medication overuse was significantly associated with a post-9/11 RA diagnosis (Adjusted Risk Ratio: 2.13, 95% CI: 1.44-3.17). More research is needed to better understand the use and management of prescribed opioids among WTC-exposed individuals with RA.

Reliability of Longshi scale with remote assessment of smartphone video calls for stroke patients' activities of daily living.

OBJECTIVES: The impairment of activities of daily living (ADL) has brought a heavy burden to the life of patients after stroke. Timely and accurate assessment of patients' activities of daily living is very necessary, which determines the whole process of diagnosis, rehabilitation and prognosis of patients. However, the patients with limited mobility or transportation are difficulted to gain high quality assessment services. This study aimed to explore the reliability of remote Longshi Assessment Scale of Activities of Daily Life (Longshi Scale) with smartphone video calls by comparing the consistency of remote assessment and bedside assessment, as well as the test-retest reliability of the remote assessment. The evaluation duration of these two methods was recorded and the level of satisfaction of patients was investigated. METHODS: In this prospective study, a total of 129 stroke survivors were recruited and accepted a bedside face-to-face assessment and a remote assessment by video calls. The Longshi Scale was used for both bedside and remote assessment and conducted with the inquiry between patients and evaluators. A satisfaction questionnaire was also launched. RESULTS: The result of disability level evaluated from the bedside and remote assessments was highly consistent. The intraclass correlation coefficient with weighted kappa (wK) value was 0.86 (95% confidence interval, 0.80∼0.92). And test-retest of the remote assessment indicated an excellent agreement beyond chance, and its correlation coefficient with wK value was 0.96 (95% confidence interval, 0.92∼1.00). It took 74.44±55.3 s to complete the bedside assessment and 90.86±63.30 s to complete the remote assessment of Longshi Scale. There was no statistical significance in the assessment duration between these two methods (P = 0.056). Satisfaction surveys showed more than 85% of participants were satisfied or very satisfied with remote Longshi scale assessment. CONCLUSIONS: The remote assessment of Longshi Scale with smartphone video calls is reliable and has high acceptance. This method can be readily implemented to evaluate the ADL of stroke patients to improve the capacity of rehabilitation and health services in remote areas.

A 15-year follow-up study of mortality in a pooled cohort of World Trade Center rescue and recovery workers.

INTRODUCTION: Hazardous exposures from the World Trade Center (WTC) terrorist attacks have been linked to increased incidence of adverse health conditions, often associated with increased mortality. We assessed mortality in a pooled cohort of WTC rescue/recovery workers over 15 years of follow-up. MATERIALS AND METHODS: We analyzed mortality through 2016 in a pooled and deduplicated cohort of WTC rescue/recovery workers from three WTC-exposed cohorts (N = 60,631): the Fire Department of the City of New York (FDNY); the WTC Health Registry (WTCHR); and the General Responder Cohort (GRC). Standardized mortality ratios (SMRs) were estimated to assess mortality vs. the US and NY state populations. Multivariable Cox proportional hazards models were used to examine associations of WTC exposures (date of first arrival, working on the WTC debris pile) with mortality risk. RESULTS: There were 1912 deaths over 697,943.33 person-years of follow-up. The SMR for all-cause mortality was significantly lower-than-expected, both when using US (SMR 0.43, 95% confidence interval [CI] 0.42-0.45) and NYS (SMR 0.51, 95% CI 0.49-0.53) as reference populations. SMRs were not elevated for any of the 28 major causes of death. Arriving at the WTC site on 9/11-9/17/2001 vs. 9/18/2001-6/30/2002 was associated with 30-50% higher risk of all-cause, heart disease and smoking-related mortality in non-FDNY/non-GRC members. Conversely, arriving on 9/11/2001 vs. 9/18/2001-6/30/2002 was associated with 40% lower all-cause and smoking-related mortality risk in FDNY members. Working on vs. off the WTC pile was associated with an increased risk of all-cause mortality in non-FDNY/non-GRC members (adjusted hazard ratio [aHR] 1.25, 95% CI 1.04-1.50), and cancer-specific mortality in GRC members (aHR 1.39, 95% CI 1.05-1.84), but lower mortality risks were found in FDNY members. CONCLUSIONS: We did not observe excess mortality among WTC rescue/recovery workers compared with general populations. However, significantly increased mortality risks among some sub-groups with high WTC exposure warrant further investigation.

Mortality after the 9/11 terrorist attacks among world trade center health registry enrollees with cancer.

BACKGROUND: While several studies have reported the association between 9/11 exposure and cancer risk, cancer survival has not been well studied in the World Trade Center (WTC) exposed population. We examined associations of 9/11-related exposures with mortality in WTC Health Registry enrollees diagnosed with cancer before and after 9/11/2001. PATIENTS AND METHODS: This is a longitudinal cohort study of 5061 enrollees with a first-ever primary invasive cancer diagnosis between 1995 and 2015 and followed through 2016. Based on the timing of first cancer diagnosis, pre-9/11 (n = 634) and post-9/11 (n = 4427) cancer groups were examined separately. 9/11-related exposures included witnessing traumatic events, injury on 9/11, and 9/11-related post-traumatic stress disorder (PTSD). Associations of exposures with all-cause mortality were examined using Cox proportional hazards regression. In the post-9/11 group, cancer-specific mortality was evaluated by enrollee group (WTC rescue/recovery workers vs. non-workers) using Fine and Gray's proportional sub-distribution hazard models, adjusting for baseline covariates, tumor characteristics, and treatment. RESULTS: In the pre-9/11 group, 9/11-related exposures were not associated with all-cause mortality. In the post-9/11 group, increased risk of all-cause mortality was associated with PTSD (adjusted HR = 1.35; 95% CI = 1.11-1.65), but not with injury or witnessing traumatic events. Cancer-specific mortality was not statistically significantly associated with 9/11-related exposures. In rescue/recovery workers, increased non-cancer mortality risk was associated with PTSD (aHR = 2.13, 95% CI = 1.13-4.00) and witnessing ≥3 traumatic events (aHR = 2.00, 95% CI = 1.13-3.55). CONCLUSIONS: We did not observe associations between 9/11-related exposures and cancer-specific mortality. Similar to findings in the non-cancer WTC exposed population, PTSD was associated with increased risk of all-cause mortality in cancer patients.

MAEF-Net: Multi-attention efficient feature fusion network for left ventricular segmentation and quantitative analysis in two-dimensional echocardiography.

The segmentation of cardiac chambers and the quantification of clinical functional metrics in dynamic echocardiography are the keys to the clinical diagnosis of heart disease. Identifying the end-diastolic frames (EDFs) and end-systolic frames (ESFs) and manually segmenting the left ventricle in the echocardiographic cardiac cycle before obtaining the left ventricular ejection fraction (LVEF) is a time-consuming and tedious task for clinicians. In this work, we proposed a deep learning-based fully automated echocardiographic analysis method. We proposed a multi-attention efficient feature fusion network (MAEF-Net) to automatically segment the left ventricle. Then, EDFs and ESFs in all cardiac cycles were automatically detected to compute LVEF. The MAEF-Net method used a multi-attention mechanism to guide the network to capture heartbeat features effectively, while suppressing noise, and incorporated deep supervision mechanism and spatial pyramid feature fusion to enhance feature extraction capabilities. The proposed method was validated on the public EchoNet-Dynamic dataset (n = 1226). The Dice similarity coefficient (DSC) of the left ventricular segmentation reached (93.10 ± 2.22)%, and the mean absolute error (MAE) of cardiac phase detection was (2.36 ± 2.23) frames. The MAE for predicting LVEF was 6.29 %. The proposed method was also validated on a private clinical dataset (n = 22). The DSC of the left ventricular segmentation reached (92.81 ± 2.85)%, and the MAE of cardiac phase detection was (2.25 ± 2.27) frames. The MAE for predicting LVEF was 5.91 %, and the Pearson correlation coefficient r reached 0.96. The proposed method may be used as a new method for automatic left ventricular segmentation and quantitative analysis in two-dimensional echocardiography. Our code and trained models will be made available publicly at https://github.com/xiaojinmao-code/MAEF-Net.

COVID-19-Specific Mortality among World Trade Center Health Registry Enrollees Who Resided in New York City.

We examined the all-cause and COVID-19-specific mortality among World Trade Center Health Registry (WTCHR) enrollees. We also examined the socioeconomic factors associated with COVID-19-specific death. Mortality data from the NYC Bureau of Vital Statistics between 2015-2020 were linked to the WTCHR. COVID-19-specific death was defined as having positive COVID-19 tests that match to a death certificate or COVID-19 mentioned on the death certificate via text searching. We conducted step change and pulse regression to assess excess deaths. Limiting to those who died in 2019 (n = 210) and 2020 (n = 286), we examined factors associated with COVID-19-specific deaths using multinomial logistic regression. Death rate among WTCHR enrollees increased during the pandemic (RR: 1.70, 95% CL: 1.25-2.32), driven by the pulse in March-April 2020 (RR: 3.38, 95% CL: 2.62-4.30). No significantly increased death rate was observed during May-December 2020. Being non-Hispanic Black and having at least one co-morbidity had a higher likelihood of COVID-19-associated mortality than being non-Hispanic White and not having any co-morbidity (AOR: 2.43, 95% CL: 1.23-4.77; AOR: 2.86, 95% CL: 1.19-6.88, respectively). The racial disparity in COVID-19-specific deaths attenuated after including neighborhood proportion of essential workers in the model (AOR:1.98, 95% CL: 0.98-4.01). Racial disparities continue to impact mortality by differential occupational exposure and structural inequality in neighborhood representation. The WTC-exposed population are no exception. Continued efforts to reduce transmission risk in communities of color is crucial for addressing health inequities.

Functional status and its related factors among stroke survivors in rehabilitation departments of hospitals in Shenzhen, China: a cross-sectional study.

BACKGROUND: Many stroke survivors have multiple chronic diseases and complications coupled with various other factors which may affect their functional status. We aimed to investigate the factors associated with poor functional status in hospitalized patients with stroke in Shenzhen, China. METHODS: In this cross-sectional study, four urban hospitals were selected using convenient sampling, and all stroke patients in these four hospitals were included using cluster sampling. The functional status of stroke survivors was evaluated using Longshi Scale. Explanatory variables (factors affecting functional status comprising age, sex, body mass index, smoking, alcohol consumption, complications, and chronic conditions) were collected. Ordinal logistic regression was used to examine which factors were associated with poor functional status. RESULTS: Stroke survivors with poor functional status accounted for 72.14% and were categorised as the bedridden group based on Longshi scale, 21.67% of patients with moderate functional limitation were categorised as the domestic group, and 6.19% of the patients with mild functional restriction were categorised as the community group. The highest dependence scores were noted for feeding (73.39%), bowel and bladder management (69.74%) and entertainment (69.53%) among the bedridden group, and housework (74.29%) among the domestic group. In the adjusted model, the odds of poor functional status were higher among stroke patients with older age (odds ratio [OR] = 2.39, 95% CI: 1.55-3.80), female sex (OR = 1.73, 95% CI: 1.08-2.77), duration of stroke more than 12 months (OR = 1.94, 95% CI: 1.28-2.95), with pulmonary infection (OR = 10.91, 95% CI: 5.81-20.50), and with deep venous thrombosis (OR = 3.00, 95% CI: 1.28-7.04). CONCLUSIONS: Older adults (age ≥ 60 years) and women were more likely to exhibit poor functional status post-stroke. Pulmonary infection and deep venous thrombosis were related to an increased risk of being dependent on activities of daily living. Therefore, clinical and rehabilitation interventions aimed at preventing or treating these common complications should be addressed to deal with subsequent dysfunction post-stroke. Since all data were obtained in metropolitan areas where the economy is well developed, future studies should be conducted in rural areas and economically less developed cities.

Optimizing acute stroke outcome prediction models: Comparison of generalized regression neural networks and logistic regressions.

BACKGROUND: Generalized regression neural network (GRNN) and logistic regression (LR) are extensively used in the medical field; however, the better model for predicting stroke outcome has not been established. The primary goal of this study was to compare the accuracies of GRNN and LR models to identify the most optimal model for the prediction of acute stroke outcome, as well as explore useful biomarkers for predicting the prognosis of acute stroke patients. METHOD: In a single-center study, 216 (80% for the training set and 20% for the test set) acute stroke patients admitted to the Shenzhen Second People's Hospital between December 2019 to June 2021 were retrospectively recruited. The functional outcomes of the patients were measured using Barthel Index (BI) on discharge. A training set was used to optimize the GRNN and LR models. The test set was utilized to validate and compare the performances of GRNN and LR in predicting acute stroke outcome based on the area under the receiver operating characteristic curve (AUROC), accuracy, sensitivity, and the Kappa value. RESULT: The LR analysis showed that age, the National Institute Health Stroke Scale score, BI index, hemoglobin, and albumin were independently associated with stroke outcome. After validating in test set using these variables, we found that the GRNN model showed a better performance based on AUROC (0.931 vs 0.702), sensitivity (0.933 vs 0.700), specificity (0.889 vs 0.722), accuracy (0.896 vs 0.729), and the Kappa value (0.775 vs 0.416) than the LR model. CONCLUSION: Overall, the GRNN model demonstrated superior performance to the LR model in predicting the prognosis of acute stroke patients. In addition to its advantage in not affected by implicit interactions and complex relationship in the data. Thus, we suggested that GRNN could be served as the optimal statistical model for acute stroke outcome prediction. Simultaneously, prospective validation based on more variables of the GRNN model for the prediction is required in future studies.