Sarcopenia and Its Influencing Factors in Patients With Colorectal Cancer.

Sarcopenia can lead to more postoperative complications and poorer prognosis in patients with colorectal cancer; however there is limited research exploring the incidence and influencing factors of different stages of sarcopenia in patients with colorectal cancer. We investigated 312 patients with colorectal cancer. Sarcopenia was determined by measuring muscle mass, grip strength, and gait speed. According to the European Working Group on Sarcopenia in Older People (EWGSOP) 2010, patients were classified into four groups: nonsarcopenia, presarcopenia, sarcopenia, and severe sarcopenia. The incidence of sarcopenia and severe sarcopenia was 10.3% and 8.7%, respectively. Multivariate logistic regression analysis showed that age, TNM stage smoking history, total protein, upper arm circumference, waist circumference, and Patient-Generated Subjective Global Assessment (PG-SGA) score were independently associated with sarcopenia at different stages. This study suggests that routine data should be used to provide targeted care during hospitalization for patients with colorectal cancer in order to reduce the incidence of sarcopenia and improve prognosis.

3D Point Cloud Object Detection Method Based on Multi-Scale Dynamic Sparse Voxelization.

Perception plays a crucial role in ensuring the safety and reliability of autonomous driving systems. However, the recognition and localization of small objects in complex scenarios still pose challenges. In this paper, we propose a point cloud object detection method based on dynamic sparse voxelization to enhance the detection performance of small objects. This method employs a specialized point cloud encoding network to learn and generate pseudo-images from point cloud features. The feature extraction part uses sliding windows and transformer-based methods. Furthermore, multi-scale feature fusion is performed to enhance the granularity of small object information. In this experiment, the term "small object" refers to objects such as cyclists and pedestrians, which have fewer pixels compared to vehicles with more pixels, as well as objects of poorer quality in terms of detection. The experimental results demonstrate that, compared to the PointPillars algorithm and other related algorithms on the KITTI public dataset, the proposed algorithm exhibits improved detection accuracy for cyclist and pedestrian target objects. In particular, there is notable improvement in the detection accuracy of objects in the moderate and hard quality categories, with an overall average increase in accuracy of about 5%.

Convolutional neural network-based magnetic resonance image differentiation of filum terminale ependymomas from schwannomas.

PURPOSE: Preoperative diagnosis of filum terminale ependymomas (FTEs) versus schwannomas is difficult but essential for surgical planning and prognostic assessment. With the advancement of deep-learning approaches based on convolutional neural networks (CNNs), the aim of this study was to determine whether CNN-based interpretation of magnetic resonance (MR) images of these two tumours could be achieved. METHODS: Contrast-enhanced MRI data from 50 patients with primary FTE and 50 schwannomas in the lumbosacral spinal canal were retrospectively collected and used as training and internal validation datasets. The diagnostic accuracy of MRI was determined by consistency with postoperative histopathological examination. T1-weighted (T1-WI), T2-weighted (T2-WI) and contrast-enhanced T1-weighted (CE-T1) MR images of the sagittal plane containing the tumour mass were selected for analysis. For each sequence, patient MRI data were randomly allocated to 5 groups that further underwent fivefold cross-validation to evaluate the diagnostic efficacy of the CNN models. An additional 34 pairs of cases were used as an external test dataset to validate the CNN classifiers. RESULTS: After comparing multiple backbone CNN models, we developed a diagnostic system using Inception-v3. In the external test dataset, the per-examination combined sensitivities were 0.78 (0.71-0.84, 95% CI) based on T1-weighted images, 0.79 (0.72-0.84, 95% CI) for T2-weighted images, 0.88 (0.83-0.92, 95% CI) for CE-T1 images, and 0.88 (0.83-0.92, 95% CI) for all weighted images. The combined specificities were 0.72 based on T1-WI (0.66-0.78, 95% CI), 0.84 (0.78-0.89, 95% CI) based on T2-WI, 0.74 (0.67-0.80, 95% CI) for CE-T1, and 0.81 (0.76-0.86, 95% CI) for all weighted images. After all three MRI modalities were merged, the receiver operating characteristic (ROC) curve was calculated, and the area under the curve (AUC) was 0.93, with an accuracy of 0.87. CONCLUSIONS: CNN based MRI analysis has the potential to accurately differentiate ependymomas from schwannomas in the lumbar segment.

Nursing Workloads and Lower Urinary Tract Symptoms Among Chinese Female Nurses: The Mediating Role of Delayed Voiding Behaviors.

PURPOSE: Lower urinary tract symptoms (LUTS) are a challenge to the healthy nursing workforce. Nurses confront various objective and subjective nursing workloads which contribute to their LUTS, but less is known about how nursing workloads influence their LUTS. This study is designed to test hypotheses that delayed voiding behaviors mediate the relationships between nursing workloads and LUTS in female nurses. MATERIALS AND METHODS: This study analyzed the baseline data collected from an ongoing cohort study named Nurse Urinary Related Health Study in China. LUTS of nurses in 20 tertiary hospitals were assessed with the International Consultation on Incontinence Questionnaire‒Female Lower Urinary Tract Symptoms. Objective nursing workloads including working environment, working hours, and working schedule were collected, and perceived stress, the proxy of the subjective nursing workload, was assessed with the Perceived Stress Scale. Delayed voiding behaviors were assessed with 3 questions adapted from the Taiwan Nurse Bladder Survey. Structural equation modeling was used to run the mediation model. RESULTS: More than half (51%) of 13,191 female nurses had LUTS. Median age was 31 years (IQR 27-37). When delayed voiding behaviors served as a mediator, the direct effects of subjective nursing workload rather than objective nursing workloads on LUTS were significant. CONCLUSIONS: Nursing workloads influence nurses' LUTS via delayed voiding behaviors. Strategies tailored to delayed voiding behaviors should be developed, and these may work with stress-reducing strategies as the gatekeepers for nurses' bladder health.

The Value of LI-RADS and Radiomic Features From MRI for Predicting Microvascular Invasion in Hepatocellular Carcinoma within 5 cm.

RATIONALE AND OBJECTIVES: To explore and compare the performance of LI-RADS® and radiomics from multiparametric MRI in predicting microvascular invasion (MVI) preoperatively in patients with solitary hepatocellular carcinoma (HCC)< 5 cm. METHODS: We enrolled 143 patients with pathologically proven HCC and randomly stratified them into training (n = 100) and internal validation (n = 43) cohorts. Besides, 53 patients were enrolled to constitute an independent test cohort. Clinical factors and imaging features, including LI-RADS and three other features (non-smooth margin, incomplete capsule, and two-trait predictor of venous invasion), were reviewed and analyzed. Radiomic features from four MRI sequences were extracted. The independent clinic-imaging (clinical) and radiomics model for MVI-prediction were constructed by logistic regression and AdaBoost respectively. And the clinic-radiomics combined model was further constructed by logistic regression. We assessed the model discrimination, calibration, and clinical usefulness by using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision-curve analysis respectively. RESULTS: Incomplete tumor capsule, corona enhancement, and radiomic features were related to MVI in solitary HCC＜5 cm. The clinical model achieved AUC of 0.694/0.661 (training/internal validation). The single-sequence-based radiomic model's AUCs were 0.753-0.843/0.698-0.767 (training/internal validation). The combination model exhibited superior diagnostic performance to the clinical model (AUC: 0.895/0.848 [training/ internal validation]) and yielded an AUC of 0.858 in an independent test cohort. CONCLUSION: Incomplete tumor capsule and corona enhancement on preoperative MRI were significantly related to MVI in solitary HCC＜5 cm. Multiple-sequence radiomic features potentially improve MVI-prediction-model performance, which could potentially help determining HCC's appropriate therapy.

Bioinspired handheld time-share driven robot with expandable DoFs.

Handheld robots offer accessible solutions with a short learning curve to enhance operator capabilities. However, their controllable degree-of-freedoms are limited due to scarce space for actuators. Inspired by muscle movements stimulated by nerves, we report a handheld time-share driven robot. It comprises several motion modules, all powered by a single motor. Shape memory alloy (SMA) wires, acting as "nerves", connect to motion modules, enabling the selection of the activated module. The robot contains a 202-gram motor base and a 0.8 cm diameter manipulator comprised of sequentially linked bending modules (BM). The manipulator can be tailored in length and integrated with various instruments in situ, facilitating non-invasive access and high-dexterous operation at remote surgical sites. The applicability was demonstrated in clinical scenarios, where a surgeon held the robot to conduct transluminal experiments on a human stomach model and an ex vivo porcine stomach. The time-share driven mechanism offers a pragmatic approach to build a multi-degree-of-freedom robot for broader applications.

Gastric tubular adenocarcinoma with diffuse neutrophils infiltrating: characteristics and probable treatment strategy.

BACKGROUND: Gastric adenocarcinoma is a highly heterogeneous malignancy with varying prognoses. In clinicopathological practice, we noticed a special tubular adenocarcinoma with diffuse neutrophils infiltrating (TADNI). However, the proportion and characteristics of TADNI remain unclear. This study aimed to evaluate the features of TADNI and explore probable treatments. METHODS: We divided 289 tubular adenocarcinoma cases into the TADNI and non-TADNI (nTADNI) groups by histological neutrophil quantity and performed immunohistochemistry of treatment-associated markers (CXCR1, CXCR2, PD-L1, CD8, HER2 and VEGFR2). Then we evaluated the clinical and morphological features in these cases. We also compared the value of histological features and peripheral blood neutrophil test. In addition, multiomics bioinformatic analyses were performed using the public datasets. RESULTS: In our cohort, TADNI accounted for 10.4% of all tubular adenocarcinoma cases. These cases had worse prognoses (especially the neutrophils mainly outside the tubes) than nTADNI cases. The histological identification of TADNI had more prognostic value than peripheral blood neutrophils. CXCR1/CXCR2 expression was significantly high in TADNI group which indicated that CXCR1/CXCR2 inhibitors might be beneficial for TADNI patients. There were no significant differences in the expression of PD-L1, CD8, HER2 and VEGFR2. The analyses of TCGA data confirmed that TADNI cases had poorer prognoses and higher CXCR1/CXCR2 expression. Bioinformatic results also revealed molecular features (more hsa-mir-223 expression, fewer CD8-positive T cells and regulatory T cells, tighter communication between tumor cells' CXCR1/CXCR2 and neutrophils' CXCL5/CXCL8) of this type. CONCLUSIONS: TADNI is a special morphological subtype with poorer prognoses and unique molecular characteristics, which might benefit from CXCR1/CXCR2 inhibitors.

Predicted factors of surgical site infection in glioblastoma patients: A meta-analysis.

Surgical site infection (SSI) is one of the common postoperative complications after craniotomy for glioblastoma patients. Previous studies have investigated the risk factors for SSI in patients with glioblastoma. Whereas big differences in research results exist, and the correlation coefficients of different research results are quite different. A meta-analysis was conducted to examine the risk factors related to surgical site infection in patients with glioblastoma. We searched English databases to collect case-control studies or cohort studies published before 15 October 2023 including PubMed, Web of Science, Embase. The risk of bias of the included studies was assessed via Newcastle-Ottawa Scale. The analysis was performed using RevMan 5.4.1 tool. A total of 4 articles (n = 2222) were selected in this meta-analysis. The following risk factors were presented to be correlated with SSI in glioblastoma: irradiation (OR = 1.88, 95% CI [0.46, 7.60]), more than 3 surgeries (OR = 2.99, 95% CI [1.47, 6.08]). Occurrence of SSI is influenced by a variety of factors. Thus, we should pay close attention to high-risk subjects and take crucial targeted interventions to lower the SSI risk following craniotomy. Owing to the limited quality and quantity of the included studies, more rigorous studies with adequate sample sizes are needed to verify the conclusion.

Progress in cancer neuroscience.

Cancer of the central nervous system (CNS) can crosstalk systemically and locally in the tumor microenvironment and has become a topic of attention for tumor initiation and advancement. Recently studied neuronal and cancer interaction fundamentally altered the knowledge about glioma and metastases, indicating how cancers invade complex neuronal networks. This review systematically discussed the interactions between neurons and cancers and elucidates new therapeutic avenues. We have overviewed the current understanding of direct or indirect communications of neuronal cells with cancer and the mechanisms associated with cancer invasion. Besides, tumor-associated neuronal dysfunction and the influence of cancer therapies on the CNS are highlighted. Furthermore, interactions between peripheral nervous system and various cancers have also been discussed separately. Intriguingly and importantly, it cannot be ignored that exosomes could mediate the "wireless communications" between nervous system and cancer. Finally, promising future strategies targeting neuronal-brain tumor interactions were reviewed. A great deal of work remains to be done to elucidate the neuroscience of cancer, and future more research should be directed toward clarifying the precise mechanisms of cancer neuroscience, which hold enormous promise to improve outcomes for a wide range of malignancies.

Congenital thrombophilia in East-Asian venous thromboembolism population: a systematic review and meta-analysis.

Background: Various inherited traits contribute to the overall risk of venous thromboembolism (VTE). In addition, the epidemiology of thrombophilia in the East-Asian VTE population remains unclear; thus, we aimed to assess the proportion of hereditary thrombophilia via a meta-analysis. Methods: Publications from PubMed, EMBASE, web of science, and Cochrane before December 30, 2022, were searched. Studies from Japan, Korea, China, Hong Kong, Taiwan, Singapore, Thailand, Vietnam, Myanmar, and Cambodia were included. Congenital thrombophilia was described as diseases including protein C (PC) deficiency, protein S (PS) deficiency, antithrombin (AT) deficiency, factor (F)V Leiden (FVL), and prothrombin G20210A mutations. Studies were selected by 2 reviewers for methodological quality analysis. A random-effects model was used for the meta-analysis, assuming that estimated effects in the different studies are not identical. Results: Forty-four studies involving 6453 patients from 7 counties/regions were included in the meta-analysis. The prevalence of PC, PS, and AT deficiencies were 7.1%, 8.3%, and 3.8%, respectively. Among 2924 patients from 22 studies, 5 patients were carriers of FVL mutation. Among 2196 patients from 10 studies, 2 patients were carriers of prothrombin G20210A mutation in a Thailand study. Conclusion: The prevalence of PC, PS, and AT deficiencies was relatively high, while a much lower prevalence of FVL and prothrombin G20210A mutations were identified in East-Asian patients with VTE. Our data stress the relative higher prevalence of PC, PS, and AT deficiencies for thrombophilia in the East-Asian VTE population.

Dual-layer spectral-detector CT for predicting microsatellite instability status and prognosis in locally advanced gastric cancer.

OBJECTIVE: To construct and validate a prediction model based on dual-layer detector spectral CT (DLCT) and clinico-radiologic features to predict the microsatellite instability (MSI) status of gastric cancer (GC) and to explore the relationship between the prediction results and patient prognosis. METHODS: A total of 264 GC patients who underwent preoperative DLCT examination were randomly allocated into the training set (n = 187) and validation set (n = 80). Clinico-radiologic features and DLCT parameters were used to build the clinical and DLCT model through multivariate logistic regression analysis. A combined DLCT parameter (CDLCT) was constructed to predict MSI. A combined prediction model was constructed using multivariate logistic regression analysis by integrating the significant clinico-radiologic features and CDLCT. The Kaplan-Meier survival analysis was used to explore the prognostic significant of the prediction results of the combined model. RESULTS: In this study, there were 70 (26.52%) MSI-high (MSI-H) GC patients. Tumor location and CT_N staging were independent risk factors for MSI-H. In the validation set, the area under the curve (AUC) of the clinical model and DLCT model for predicting MSI status was 0.721 and 0.837, respectively. The combined model achieved a high prediction efficacy in the validation set, with AUC, sensitivity, and specificity of 0.879, 78.95%, and 75.4%, respectively. Survival analysis demonstrated that the combined model could stratify GC patients according to recurrence-free survival (p = 0.010). CONCLUSION: The combined model provides an efficient tool for predicting the MSI status of GC noninvasively and tumor recurrence risk stratification after surgery. CRITICAL RELEVANCE STATEMENT: MSI is an important molecular subtype in gastric cancer (GC). But MSI can only be evaluated using biopsy or postoperative tumor tissues. Our study developed a combined model based on DLCT which could effectively predict MSI preoperatively. Our result also showed that the combined model could stratify patients according to recurrence-free survival. It may be valuable for clinicians in choosing appropriate treatment strategies to avoid tumor recurrence and predicting clinical prognosis in GC. KEY POINTS: • Tumor location and CT_N staging were independent predictors for MSI-H in GC. • Quantitative DLCT parameters showed potential in predicting MSI status in GC. • The combined model integrating clinico-radiologic features and CDLCT could improve the predictive performance. • The prediction results could stratify the risk of tumor recurrence after surgery.

DaylilyNet: A Multi-Task Learning Method for Daylily Leaf Disease Detection.

Timely detection and management of daylily diseases are crucial to prevent yield reduction. However, detection models often struggle with handling the interference of complex backgrounds, leading to low accuracy, especially in detecting small targets. To address this problem, we propose DaylilyNet, an object detection algorithm that uses multi-task learning to optimize the detection process. By incorporating a semantic segmentation loss function, the model focuses its attention on diseased leaf regions, while a spatial global feature extractor enhances interactions between leaf and background areas. Additionally, a feature alignment module improves localization accuracy by mitigating feature misalignment. To investigate the impact of information loss on model detection performance, we created two datasets. One dataset, referred to as the 'sliding window dataset', was obtained by splitting the original-resolution images using a sliding window. The other dataset, known as the 'non-sliding window dataset', was obtained by downsampling the images. Experimental results in the 'sliding window dataset' and the 'non-sliding window dataset' demonstrate that DaylilyNet outperforms YOLOv5-L in mAP@0.5 by 5.2% and 4.0%, while reducing parameters and time cost. Compared to other models, our model maintains an advantage even in scenarios where there is missing information in the training dataset.

Development and validation of risk prediction model for sarcopenia in patients with colorectal cancer.

Objectives: Sarcopenia is associated with a poor prognosis in patients with colorectal cancer. However, the clinical factors that lead to colorectal cancer patients with sarcopenia are still unclear. The objective of this study is to develop and validate a nomogram for predicting the occurrence of sarcopenia and to provide healthcare professionals with a reliable tool for early identification of high-risk patients with colorectal cancer associated sarcopenia. Methods: A total of 359 patients diagnosed with colorectal cancer from July 2021 to May 2022 were included. All patients were randomly divided into a training (n = 287) cohort and a validation cohort (n = 72) at the ratio of 80/20. Univariate and multivariate logistic analysis were performed to evaluate the factors associated with sarcopenia. The diagnostic nomogram of sarcopenia in patients with colorectal cancer was constructed in the training cohort and validated in the validation cohort. Various evaluation metrics were employed to assess the performance of the developed nomogram, including the ROC curve, calibration curve, and Hosmer-Lemeshow test. Results: Smoking history, drinking history, diabetes, TNM stage, nutritional status, and physical activity were included in the nomogram for the prediction of sarcopenia. The diagnostic nomograms demonstrated excellent discrimination, with AUC values of 0.971 and 0.922 in the training and validation cohorts, respectively. Moreover, the calibration performance of the nomogram is also excellent, as evidenced by the Hosmer-Lemeshow test result of 0.886. Conclusions: The nomogram consisting of preoperative factors was able to successfully predict the occurrence of sarcopenia in colorectal cancer patients, aiding in the early identification of high-risk patients and facilitating timely implementation of appropriate intervention measures.

Heart Rate Response Predicts 6-Minutes Walking Distance in Pulmonary Arterial Hypertension.

Because the 6-minute walking test (6MWT) is a self-paced submaximal test, the 6-minute walking distance (6MWD) is substantially influenced by individual effort level and physical condition, which is difficult to quantify. We aimed to explore the optimal indicator reflecting the perceived effort level during 6MWT. We prospectively enrolled 76 patients with pulmonary arterial hypertension and 152 healthy participants; they performed 2 6MWTs at 2 different speeds: (1) at leisurely speed, as performed in daily life without extra effort (leisure 6MWT) and (2) an increased walking speed, walking as the guideline indicated (standard 6MWT). The factors associated with 6MWD during standard 6MWT were investigated using a multiple linear regression analysis. The heart rate (HR) and Borg score increased and oxygen saturation (SpO2) decreased after walking in 2 6MWTs in both groups (all p <0.001). The ratio of difference in HR before and after each test (ΔHR) to HR before walking (HRat rest) and the difference in SpO2 (ΔSpO2) and Borg (ΔBorg) before and after each test were all significantly higher in both groups after standard 6MWT than after leisure 6MWT (all p <0.001). Multiple linear regression analysis revealed that ΔHR/HRat rest was an independent predictor of 6MWD during standard 6MWT in both groups (both p <0.001, adjusted R2 = 0.737 and 0.49, respectively). 6MWD and ΔHR/HRat rest were significantly lower in patients than in healthy participants (both p <0.001) and in patients with cardiac functional class III than in patients with class I/II (both p <0.001). In conclusion, ΔHR/HRat rest is a good reflector of combined physical and effort factors. HR response should be incorporated into 6MWD to better assess a participant's exercise capacity.

Percutaneous transluminal pulmonary angioplasty for Takayasu arteritis-associated pulmonary hypertension: A single-arm meta-analysis.

BACKGROUND: The efficacy and safety of percutaneous transluminal pulmonary angioplasty (PTPA) for Takayasu arteritis-associated pulmonary hypertension (TA-PH) remain unclear. OBJECTIVES: To examine the efficacy and safety of PTPA in TA-PH. METHODS: PubMed, Embase, and the Cochrane Central Register of Controlled Trials Library were searched from inception to August 18, 2022, for articles investigating the efficacy and safety of PTPA for TA-PH. The primary efficacy outcomes were pulmonary vascular resistance (PVR) changes from baseline to re-evaluation and 6-minute walking distance (6MWD). The safety outcome was procedure-related complications. RESULTS: Five articles comprising 104 patients with TA-PH who underwent PTPA were included. The scores of article quality, as assessed using the methodological index for nonrandomized studies tool, were high, ranging from 13 to 15 points. The pooled treatment effects of PVR (weighted mean difference [WMD]: -4.8 WU; 95% confidence interval [CI]: -6.0 to -3.5 WU; I2 = 0.0%), 6MWD (WMD: 101.9 m; 95% CI: 60.3-143.6 m; I2 = 70.4%) significantly improved. Procedure-related complications, which predominantly present as pulmonary artery injury and pulmonary injury, occurred in 32.0% of the included patients. Periprocedural death occurred in one patient (1.0%, 1/100). CONCLUSIONS: Patients with TA-PH could benefit from PTPA in terms of hemodynamics and exercise tolerance, at the expense of procedure-related complications. PTPA should be encouraged to enhance the treatment response in TA-PH. These findings need to be confirmed by further studies, ideally, randomized controlled trials. REGISTRATION: PROSPERO CRD42022354087.

Vaccination against coronavirus disease 2019 in patients with pulmonary hypertension: a national prospective cohort study.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has potential risks for both clinically worsening pulmonary hypertension (PH) and increasing mortality. However, the data regarding the protective role of vaccination in this population are still lacking. This study aimed to assess the safety of approved vaccination for patients with PH. METHODS: In this national prospective cohort study, patients diagnosed with PH (World Health Organization [WHO] groups 1 and 4) were enrolled from October 2021 to April 2022. The primary outcome was the composite of PH-related major adverse events. We used an inverse probability weighting (IPW) approach to control for possible confounding factors in the baseline characteristics of patients. RESULTS: In total, 706 patients with PH participated in this study (mean age, 40.3 years; mean duration after diagnosis of PH, 8.2 years). All patients received standardized treatment for PH in accordance with guidelines for the diagnosis and treatment of PH in China. Among them, 278 patients did not receive vaccination, whereas 428 patients completed the vaccination series. None of the participants were infected with COVID-19 during our study period. Overall, 398 patients received inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine, whereas 30 received recombinant protein subunit vaccine. After adjusting for baseline covariates using the IPW approach, the odds of any adverse events due to PH in the vaccinated group did not statistically significantly increase (27/428 [6.3%] vs. 24/278 [8.6%], odds ratio = 0.72, P = 0.302). Approximately half of the vaccinated patients reported at least one post-vaccination side effects, most of which were mild, including pain at the injection site (159/428, 37.1%), fever (11/428, 2.6%), and fatigue (26/428, 6.1%). CONCLUSIONS: COVID-19 vaccination did not significantly augment the PH-related major adverse events for patients with WHO groups 1 and 4 PH, although there were some tolerable side effects. A large-scale randomized controlled trial is warranted to confirm this finding. The final approval of the COVID-19 vaccination for patients with PH as a public health strategy is promising.

Spatiotemporal Trends of Stroke Burden Attributable to Ambient PM2.5 in 204 Countries and Territories, 1990-2019: A Global Analysis.

BACKGROUND AND OBJECTIVES: Previous studies suggested that long-term exposure to ambient fine particulate matter (PM2.5) is associated with increased risk of stroke. However, limited studies evaluated the stroke burden attributable to ambient PM2.5 globally, especially comprising across different regions, countries, and social-economic levels. We thus conducted this study to estimate the spatial and temporal trends of ambient PM2.5-related stroke burden by sex, age, and subtypes from 1990 to 2019 at global, regional, and national levels. METHODS: Information on the ambient PM2.5-related stroke burden from 1990 to 2019 was obtained from the Global Burden of Disease study 2019. The burdens of stroke attributable to ambient PM2.5 (i.e., age-standardized mortality rate [ASMR] and age-standardized disability-adjusted life-year rate [ASDR]) were estimated by sex, age, and subtypes from 1990 to 2019 at global, regional, and national levels. The estimated annual percentage change (EAPC) was used to evaluate the changing trends of ASDR and ASMR attributable to ambient PM2.5 from 1990 to 2019. The Spearman correlation coefficient was used to examine the correlation between sociodemographic index (SDI) and EAPC of ASMR and ASDR at the national level. RESULTS: In 2019, the global ambient PM2.5-related stroke mortality and disability-adjusted life years were 1.14 million and 28.74 million, respectively, with the corresponding ASDR and ASMR of 348.1 and 14.3 per 100,000 population, respectively. The ASDR and ASMR increased with age and were highest among male patients, in the middle SDI regions, and for intracerebral hemorrhage (ICH). From 1990 to 2019, the absolute death number of stroke attributable to ambient PM2.5 and the corresponding ASMR and ASDR were both in an increasing trend. The corresponding EAPCs in ASMR and ASDR were 0.09 (95% CI -0.05 to 0.24) and 0.31 (95% CI 0.18-0.44), respectively. The significant increases of ASMR and ASDR were observed in the low, low-middle, and middle SDI regions, and for ICH. However, a decreasing trend was observed in high and middle-high SDI regions, and for subarachnoid hemorrhage. DISCUSSION: The global burden of stroke attributable to ambient PM2.5 showed an increasing trend over the past 30 years, especially in male patients, low-income countries, and for ICH. Continued efforts on reducing the level of ambient PM2.5 are necessary to reduce the burden of stroke.

Burden of stroke attributable to high ambient temperature from 1990 to 2019: A global analysis.

AIMS: To determine the global and regional burden of stroke due to high temperature and the spatiotemporal trends in 204 countries and territories from 1990 to 2019. METHODS: Based on Global Burden of Disease Study 2019, deaths, disability-adjusted life years (DALYs), and age-standardized mortality rate (ASMR) and age-standardized DALY rate (ASDR) for stroke attributable to high temperature (i.e. a daily mean temperature warmer than the theoretical minimum-risk exposure level (TMREL)) were calculated in global, geographical location, and country and analyzed by age, sex, subtypes, and socio-demographic index (SDI) from 1990 to 2019. The trends in ASMR and ASDR from 1990 to 2019 were estimated by linear regression model. The regression coefficients (ß) referred to a mean change of per year for ASMR or ASDR attributable to high temperature. RESULTS: The global burden of stroke attributable to high temperature had an increase trend from 1990 to 2019 (ß = 0.005, 95% uncertainty interval (UI) = 0.003-0.007 for ASMR and ß = 0.104, 95% UI = 0.066-0.142 for ASDR, respectively). Globally, in 2019, an estimated 0.048 million deaths and 1.01 million DALYs of stroke were attributable to high temperature, and the global ASMR and ASDR of stroke attributable to high temperature were 0.60 (95% UI = 0.07-1.30) and 13.31 (1.40-28.97) per 100,000 population, respectively. The largest burden occurred in Western Sub-Saharan Africa, followed by South Asia, Southeast Asia, and North Africa and the Middle East. ASMR and ASDR increased with age and were higher in males and for intracerebral hemorrhage, and were the highest in the low SDI regions. In 2019, the region with the largest percentage increase in ASMR and ASDR attributable to high temperature was Eastern Sub-Saharan Africa from 1990 to 2019. CONCLUSIONS: Stroke burden due to high temperature has been increasing, and a higher burden was observed in people aged 65-75 years, males, and countries with a low SDI. Stroke burden attributable to high temperature constitutes a major global public health concern in the context of global warming.

Spatiotemporal trends of cardiovascular disease burden attributable to ambient PM2.5 from 1990 to 2019: A global burden of disease study.

There is little known about the global burden of CVD attributable to ambient PM2.5 (referred to as CVD burden hereinafter) and its secular trend across different regions and countries. We aimed to evaluate the spatiotemporal trends in CVD burden at the global, regional and national levels from 1990 to 2019. Data on CVD burden including mortality and disability adjusted of life years (DALYs) from 1990 to 2019 were extracted from the Global Burden of Disease Study 2019. Cases, the age-standardized rate of mortality (ASMR) and DALYs (ASDR) were estimated by age, sex and sociodemographic index (SDI). Estimated annual percentage change (EAPC) was calculated to evaluate the temporal changing in ASDR and ASMR from 1990 to 2019. In 2019, 2.48 million deaths and 60.91 million DALYs of CVD were attributed to ambient PM2.5 globally. Most CVD burden occurred in males, elderly and the middle SDI region. At national level, Uzbekistan, Egypt, and Iraq had the highest ASMR and ASDR. Despite remarkable increase in number of DALYs and deaths of CVD worldwide from 1990 to 2019, we observed nonsignificant change in ASMR (EAPC: 0.06, 95 % CI: -0.01, 0.13) and slight increment in ASDR (EAPC: 0.30, 95 % CI: 0.23, 0.37). The EAPCs of ASMR and ASDR were negatively associated with SDI in 2019, while the low-middle SDI region exhibited the fastest growth of ASMR and ASDR with EAPCs of 3.25 (95 % CI: 3.14, 3.37) and 3.36 (95 % CI: 3.22, 3.49), respectively. In conclusion, the global CVD burden attributable to ambient PM2.5 has largely increased over the past three decades. The population growth, aging and SDI contributed to the heterogeneity of spatial and temporal distribution. Enforcing policy to improving air quality is required to halt the growing burden of PM2.5 on health.