Systematic analysis of the occurrence characteristics and impact on hospitalization costs of trauma complications.

BACKGROUND: Trauma complications increase the burden of disease and hospitalization costs for patients. More research evidence is needed on how to more effectively prevent these complications and reduce hospitalization costs based on the characteristics of trauma patients. Therefore, this study will systematically analyze the characteristics of trauma complications and their specific impact on hospitalization costs. METHODS: This is a multi-center retrospective study of trauma hospitalizations from 2018 to 2023. Associations between population characteristics, trauma features, and each complication occurrence were investigated using multiple correspondence analysis. Logistic regression analysis assessed factors influencing trauma complications. Additionally, a generalized linear model analyzed the relative increase in hospital costs for each complication. RESULTS: A total of 48,032 trauma patients were included, with 22.0% experiencing at least one complication. Thrombosis is more prevalent among elderly women (aged ≥65) with pelvic and extremity trauma. In men aged 18-44 years, respiratory insufficiency and post-traumatic anemia primarily occurred in cases of head injuries and multiple injuries. Chest and multiple injuries predispose people aged 45-64 to pneumonia and electrolyte disorders. Body surface injuries are prone to surgical site infections. Complications resulted in an average relative increase in overall hospitalization costs of 1.32-fold, with thrombosis (1.58-fold), respiratory insufficiency (1.11-fold), post-traumatic anemia (0.58-fold), surgical site infection (0.48-fold), pneumonia (0.53-fold), electrolyte disorders (0.47-fold). CONCLUSIONS: This study systematically analyzed the occurrence characteristics of trauma complications and the burden trends of hospitalization costs due to complications, providing a reference for the formulation of trauma classification and management strategies.

Decoding the spatiotemporal heterogeneity of tumor-associated macrophages.

Tumor-associated macrophages (TAMs) are pivotal in cancer progression, influencing tumor growth, angiogenesis, and immune evasion. This review explores the spatial and temporal heterogeneity of TAMs within the tumor microenvironment (TME), highlighting their diverse subtypes, origins, and functions. Advanced technologies such as single-cell sequencing and spatial multi-omics have elucidated the intricate interactions between TAMs and other TME components, revealing the mechanisms behind their recruitment, polarization, and distribution. Key findings demonstrate that TAMs support tumor vascularization, promote epithelial-mesenchymal transition (EMT), and modulate extracellular matrix (ECM) remodeling, etc., thereby enhancing tumor invasiveness and metastasis. Understanding these complex dynamics offers new therapeutic targets for disrupting TAM-mediated pathways and overcoming drug resistance. This review underscores the potential of targeting TAMs to develop innovative cancer therapies, emphasizing the need for further research into their spatial characteristics and functional roles within the TME.

Local Management for Diabetic Foot Ulcers: A Systematic Review and Network Meta-analysis of Randomized Controlled Trials.

OBJECTIVE: This study evaluated the efficacy of various local management strategies for diabetic foot ulcers (DFUs). BACKGROUND: Several surgical and non-surgical local interventional approaches are available for the treatment of DFUs. The comparative effectiveness of different treatments is unknown, and it remains unclear which approach is the optimal choice for DFUs treatment due to limited direct comparisons. METHODS: We did a systematic review and meta-analysis to select the optimal approach to DFUs local management. We searched Medline, Embase, Web of Science, and ClinicalTrials.gov from inception to September 1, 2023, to identify relevant randomized controlled trials (RCTs). We analysed data by pairwise meta-analyses with a random-effects model. A network meta-analysis using the surface under the cumulative ranking curve (SUCRA) was performed to evaluate the comparative efficacy of different interventional approaches in the early (within 12 wk) and late stages (over 12 wk). RESULTS: 141 RCTs involving 14076 patients and exploring 14 interventional strategies were eligible for inclusion. Most studies (102/141) had at least one risk-of-bias dimension. Good consistency was observed during the analysis. Local pairwise comparisons demonstrated obvious differences in the early-stage healing rate and early- and late-stage healing times, while no significant difference in the late-stage healing rate or adverse events were noted. SUCRAs identified the standard of care (SOC) + decellularized dressing (DD), off-loading (OL), and autogenous graft (AG) as the three most effective interventions within 12 weeks for both healing rate (97%, mean rank: 1.4; 90%, mean rank: 2.3; 80.8%, mean rank: 3.5, respectively) and healing time (96.7%, mean rank: 1.4; 83.0%, mean rank: 3.0; 76.8%, mean rank: 3.8, respectively). After 12 weeks, local drug therapy (LDT) (89.5%, mean rank: 2.4) and OL (82.4%, mean rank: 3.3) ranked the highest for healing rate, and OL (100.0%, mean rank: 1.0) for healing time. With respect to adverse events, moderate and high risks were detected in the SOC + DD (53.7%, mean rank: 7.0) and OL (24.4%, mean rank: 10.8) groups, respectively. CONCLUSION: The findings suggest that OL provided considerable benefits for DFU healing in both the early and late stages, but the high risk of adverse events warrants caution. SOC+DD may be the preferred option in the early stages, with an acceptable risk of adverse events.

Influencing factors and early predictive model of acute stress disorder in traumatic patients: A clinical comparative cohort study.

OBJECTIVE: To analyze the main influencing factors of ASD (Acute Stress Disorder) in inpatients, and provide some evidence for early clinical identification and intervention of ASD. METHODS: In this study, 489 inpatients were selected from 3 general hospitals in Zunyi City from September 2020 to August 2021. The patients were followed up with questionnaires. Mann Whitney U test, Logistic Regression analysis and Generalized Estimation Equation were used for difference comparison and influencing factor analyses. RESULTS: Multivariate logistic regression showed that trauma exposure, psychological burden, fear and pain degree were risk factors of ASD in all inpatients. The sensitivity and specificity of combined using of "trauma, psychological burden, fear and pain" in predicting ASD reached 89.40 % and 79.20 %, respectively; and the area under ROC could reach 0.897. CONCLUSION: Based on the different risk factors, an early effective model could be built for ASD prediction in both traumatic and nontraumatic patients.

Worldwide Perinatal Intimate Partner Violence Prevalence and Risk Factors for Post-traumatic Stress Disorder in Women: A Systematic Review and Meta-analysis.

Post-traumatic stress disorder (PTSD) in women who have experienced perinatal intimate partner violence (P-IPV) has gradually attracted the attention of psychologists, mental health, and health care professionals. However, a comprehensive understanding of its prevalence and associated risk factors is still lacking. The aim of this systematic review and meta-analysis was to determine the prevalence and explore influencing factors for PTSD in women who have suffered P-IPV. Our study inclusion criteria were: women who experienced IPV in the year before conception, throughout pregnancy, during delivery, and up to 1 year after giving birth for which a quantitative assessment of PTSD was done using validated diagnostic or screening tools. This study searched nine English databases and four Chinese databases. The final analysis included 16 studies, involving 9,098 female subjects. Meta-analysis was performed on the extracted data using the Stata 16.0 software (Stata Corp. LP, College Station, TX, USA).Fixed or random effect models were selected to pool odds ratio (OR) and 95% confidence interval (CI) of PTSD after heterogeneity test. Meta-analysis showed that the pooled prevalence of PTSD in women who suffered P-IPV was 30.0% (95% confidence interval [95% CI] = [22.0%, 37.0%]). Only nine studies described influencing factors for PTSD based on multivariate logistic regression analysis. The five identified influencing factors were: non-immigrants (OR = 2.56; 95% CI [1.29, 5.08]), non-cohabitation (OR = 2.45; [1.35, 4.42]), trauma history (OR = 1.80; [1.18, 2.76]), education below senior high school (OR = 1.32; [0.64, 2.75]), and age 18 to 29 years (OR = 1.06; [0.94, 1.19]). These findings provided a reference value of PTSD prevalence, risk factors, and potential association with P-IPV among women worldwide. However, the geographical coverage of the reviewed studies is limited and epidemiological investigations from more diverse areas are required in the future.