A novel prediction approach driven by graph representation learning for heavy metal concentrations.

The potential risk of heavy metals (HMs) to public health is an issue of great concern. Early prediction is an effective means to reduce the accumulation of HMs. The current prediction methods rarely take internal correlations between environmental factors into consideration, which negatively affects the accuracy of the prediction model and the interpretability of intrinsic mechanisms. Graph representation learning (GraRL) can simultaneously learn the attribute relationships between environmental factors and graph structural information. Herein, we developed the GraRL-HM method to predict the HM concentrations in soil-rice systems. The method consists of two modules, which are PeTPG and GCN-HM. In PeTPG, a graphic structure was generated using graph representation and communitization technology to explore the correlations and transmission paths of different environmental factors. Subsequently, the GCN-HM model based on the graph convolutional neural network (GCN) was used to predict the HM concentrations. The GraRL-HM method was validated by 2295 sets of data covering 21 environmental factors. The results indicated that the PeTPG model simplified correlation paths between factor nodes from 396 to 184, reducing by 53.5 % graph scale by eliminating the invalid paths. The concise and efficient graph structure enhanced the learning efficiency and representation accuracy of downstream prediction models. The GCN-HM model was superior to the four benchmark models in predicting the HM concentration in the crop, improving R2 by 36.1 %. This study develops a novel approach to improve the prediction accuracy of pollutant accumulation and provides valuable insights into intelligent regulation and planting guidance for heavy metal pollution control.

Statin therapy enhances survival in unresectable stage III lung squamous cell carcinoma with concurrent chemoradiotherapy.

To evaluate the impact of statin use on overall survival and lung cancer-specific survival in patients with unresectable stage III lung squamous cell carcinoma (LSCC) undergoing standard concurrent chemoradiotherapy (CCRT). Using data from the Taiwan Cancer Registry Database and National Health Insurance Research Database, this propensity score matching cohort study analyzed the influence of statin use during CCRT on overall survival and lung cancer-specific survival. Statin use during CCRT was independently associated with significant improvements in overall survival and lung cancer-specific survival. The adjusted hazard ratio (95% CI) for all-cause mortality in the statin group versus the non-statin group was 0.60 (0.53-0.68, P < 0.0001). Similarly, the adjusted hazard ratio for lung cancer-specific mortality in the statin group versus the non-statin group was 0.61 (95% CI, 0.54-0.70, P < 0.0001). Pravastatin and fluvastatin exhibited the greatest potential in reducing lung cancer-specific mortality among statins, with rosuvastatin following closely behind. Atorvastatin demonstrated comparable effectiveness, while simvastatin and lovastatin displayed lower efficacy in this regard. Furthermore, a dose-response relationship was observed, with higher cumulative defined daily doses and greater daily intensity of statin use associated with reduced mortality. Our study provides evidence that statin use during CCRT for unresectable stage III LSCC is associated with significant improvements in overall survival and lung cancer-specific survival. Pravastatin showed the highest potential for reducing lung cancer-specific mortality among statins, followed by rosuvastatin. Atorvastatin and fluvastatin exhibited similar effectiveness, while simvastatin and lovastatin demonstrated lower efficacy. The dose-response relationship showed higher statin utilization in reducing lung cancer-specific mortality.

Metformin monotherapy versus predominantly older non-metformin antidiabetic medications for cerebrovascular risk in early type 2 diabetes management.

AIM: Choosing the initial treatment for type 2 diabetes (T2D) is pivotal, requiring consideration of solid clinical evidence and patient characteristics. Despite metformin's historical preference, its efficacy in preventing cerebrovascular events lacked empirical validation. This study aimed to evaluate the associations between first-line monotherapy (metformin or non-metformin antidiabetic medications) and cerebrovascular complications in patients with T2D without diabetic complications. METHODS: We analysed 9090 patients with T2D without complications who were prescribed either metformin or non-metformin medications as initial therapy. Propensity score matching ensured group comparability. Cox regression analyses, stratified by initial metformin use, assessed cerebrovascular disease risk, adjusting for multiple covariates and using competing risk analysis. Metformin exposure was measured using cumulative defined daily doses. RESULTS: Metformin users had a significantly lower crude incidence of cerebrovascular diseases compared with non-users (p < .0001). Adjusted hazard ratios (aHRs) consistently showed an association between metformin use and a lower risk of overall cerebrovascular diseases (aHRs: 0.67-0.69) and severe events (aHRs: 0.67-0.69). The association with reduced risk of mild cerebrovascular diseases was significant across all models (aHRs: 0.73-0.74). Higher cumulative defined daily doses of metformin correlated with reduced cerebrovascular risk (incidence rate ratio: 0.62-0.94, p < .0001), indicating a dose-dependent effect. CONCLUSION: Metformin monotherapy is associated with a reduced risk of cerebrovascular diseases in early-stage T2D, highlighting its dose-dependent efficacy. However, the observed benefits might also be influenced by baseline differences and the increased risks associated with other medications, such as sulphonylureas. These findings emphasize the need for personalized diabetes management, particularly in mitigating cerebrovascular risk in early T2D stages.

Adverse postoperative outcomes in elderly patients with sarcopenia.

PURPOSE: No study has compared 30-day and 90-day adverse postoperative outcomes between old-age patients with and those without sarcopenia. PATIENTS AND METHODS: We categorize elderly patients receiving major surgery into two groups according to the presence or absence of preoperative sarcopenia that were matched at a 1:4 ratio through propensity score matching (PSM). We analyzed 30-day or 90-day adverse postoperative outcomes and mortality in patients with and without sarcopenia receiving major surgery. RESULTS: Multivariate logistic regression analyses revealed that the patients with preoperative sarcopenia were at significantly higher risk of 30-day postoperative mortality (adjusted odds ratio [aOR]. = 1.25; 95% confidence interval [CI]. = 1.03-1.52) and 30-day major complications such as postoperative pneumonia (aOR = 1.15; 95% CI = 1.00-1.40), postoperative bleeding (aOR = 2.18; 95% CI = 1.04-4.57), septicemia (aOR = 1.31; 95% CI = 1.03-1.66), and overall complications (aOR = 1.13; 95% CI = 1.00-1.46). In addition, surgical patients with sarcopenia were at significantly higher risk of 90-day postoperative mortality (aOR = 1.50; 95% CI = 1.29-1.74) and 90-day major complications such as pneumonia (aOR = 1.27; 95% CI = 1.10-1.47), postoperative bleeding (aOR = 1.90; 95% CI = 1.04-3.48), septicemia (aOR = 1.52; 95% CI = 1.28-1.82), and overall complications (aOR = 1.24; 95% CI = 1.08-1.42). CONCLUSIONS: Sarcopenia is an independent risk factor for 30-day and 90-day adverse postoperative outcomes such as pneumonia, postoperative bleeding, and septicemia and increases 30-day and 90-day postoperative mortality among patients receiving major surgery. No study has compared 30-day and 90-day adverse postoperative outcomes between patients with and those without sarcopenia. We conducted a propensity score?matched (PSM) population-based cohort study to investigate the adverse postoperative outcomes and mortality in patients undergoing major elective surgery with preoperative sarcopenia versus those without preoperative sarcopenia. We demonstrated that sarcopenia is an independent risk factor for 30-day and 90-day adverse postoperative outcomes, such as postoperative pneumonia, bleeding, septicemia, and mortality after major surgery. Therefore, surgeons and anesthesiologists should attempt to correct preoperative sarcopenia, swallowing function, and respiratory muscle training before elective surgery to reduce postoperative complications that contribute to the decrease in surgical mortality.

Predictors for Failed Removal of Nasogastric Tube in Patients With Brain Insult.

OBJECTIVE: To construct a prognostic model for unsuccessful removal of nasogastric tube (NGT) was the aim of our study. METHODS: This study examined patients with swallowing disorders receiving NGT feeding due to stroke or traumatic brain injury in a regional hospital. Clinical data was collected, such as age, sex, body mass index (BMI), level of activities of daily living (ADLs) dependence. Additionally, gather information regarding the enhancement in Functional Oral Intake Scale (FOIS) levels and the increase in food types according to the International Dysphagia Diet Standardization Initiative (IDDSI) after one month of swallowing training. A stepwise logistic regression analysis model was employed to predict NGT removal failure using these parameters. RESULTS: Out of 203 patients, 53 patients (26.1%) had experienced a failed removal of NGT after six months of follow-up. The strongest predictors for failed removal were age over 60 years, underweight BMI, total dependence in ADLs, and ischemic stroke. The admission prediction model categorized patients into high, moderate, and low-risk groups for removal failure. The failure rate of NGT removal was high not only in the high-risk group but also in the moderate-risk groups when there was no improvement in FOIS levels and IDDSI food types. CONCLUSION: Our predictive model categorizes patients with brain insults into risk groups for swallowing disorders, enabling advanced interventions such as percutaneous endoscopic gastrostomy for high-risk patients struggling with NGT removal, while follow-up assessments using FOIS and IDDSI aid in guiding rehabilitation decisions for those at moderate risk.

Maintenance chemotherapy for esophageal squamous cell carcinoma after standard concurrent chemoradiotherapy: a national propensity score matching cohort study.

Esophageal squamous cell carcinoma (ESCC) is a common and aggressive cancer, and its standard treatment is concurrent chemoradiotherapy (CCRT). Maintenance chemotherapy is often used to help prevent cancer recurrence, but its efficacy for patients with ESCC receiving CCRT remains unclear. We conducted a large head-to-head propensity score matching cohort study to estimate the effects of maintenance chemotherapy on overall survival and cancer-specific survival in patients with ESCC receiving standard CCRT. After propensity score matching (PSM), we recruited 2724 patients with ESCC (2177 in the maintenance chemotherapy group and 547 in the non-maintenance chemotherapy group). The adjusted hazard ratios (95% confidence intervals) of all-cause mortality and cancer-specific mortality for the maintenance chemotherapy group were 1.15 (1.06-1.26, P = 0.0014) and 1.08 (0.88-1.29, P = 0.1320), respectively, compared with the non-maintenance chemotherapy group. We also found that older age, relatively lower body mass index (BMI), higher American Joint Committee on Cancer clinical stage, and poor response to CCRT as measured using the Response Evaluation Criteria in Solid Tumors were poor independent predictors of all-cause mortality and cancer-specific mortality. Our findings indicated that maintenance chemotherapy may not improve the survival of patients with ESCC who have received CCRT. Additionally, we identified several key prognostic factors for patients with ESCC receiving CCRT, including relatively low BMI and poor response to CCRT. Further research is needed to understand the benefits and risks of maintenance chemotherapy in similar patient populations in order to identify new therapies that could improve treatment responses.

Correlation of maintenance chemotherapy and improved survival in patients with locally advanced unresectable pancreatic head adenocarcinoma receiving neoadjuvant chemotherapy and concurrent chemoradiotherapy.

To assess the efficacy of maintenance chemotherapy in the management of unresectable locally advanced pancreatic head adenocarcinoma (PHA) cancer after neoadjuvant chemotherapy and concurrent chemoradiation therapy (CCRT). This study, a large-scale head-to-head propensity score matching (PSM) cohort study, employed real-world data. PSM was used to evaluate the impact of maintenance chemotherapy on overall survival and cancer-specific survival in patients with unresectable locally advanced PHA who underwent neoadjuvant chemotherapy and CCRT. A total of 148 patients with locally advanced pancreatic head adenocarcinoma were included in the study after PSM. These patients were equally divided into two groups, those receiving maintenance chemotherapy and those who did not. Confounding factors were balanced between the groups. The adjusted hazard ratios for all-cause mortality and cancer-specific mortality were 0.56 (95% CI: 0.40-0.77; P = 0.0005) and 0.56 (95% CI: 0.40-0.78; P = 0.0007), respectively, in patients receiving maintenance chemotherapy compared to those who did not. Our large-scale, real-world study demonstrates that maintenance chemotherapy may enhance survival outcomes for patients with unresectable locally advanced pancreatic head adenocarcinoma who underwent neoadjuvant chemotherapy and concurrent chemoradiation therapy.

Decreased serum VEGF and NRG1ß1 levels in male patients with chronic schizophrenia: VEGF correlation with clinical symptoms and cognitive deficits.

BACKGROUND: Vascular endothelial growth factor (VEGF) and neuregulin1 (NRG1) are multifunctional trophic factors reported to be dysregulated in schizophrenia. However, the relationships between serum concentrations and schizophrenia symptoms have differed markedly across studies, possibly because schizophrenia is a highly heterogenous disorder. The aim of this study was to investigate the associations of serum VEGF and NRG1 with clinical symptoms and cognitive deficits specifically in male patients with chronic schizophrenia. METHODS: The study included 79 male patients with chronic schizophrenia and 79 matched healthy individuals. Serum VEGF, NRG1ß1, S100B, S100A8, and neuropilin1 were measured using the Luminex liquid suspension chip detection method, psychopathological symptom severity using the Positive and Negative Symptom Scale (PANSS), and cognitive dysfunction using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). RESULTS: Serum VEGF and NRG1ß1 concentrations were significantly lower in male chronic schizophrenic patients than healthy controls (P < 0.05), while serum S100B, S100A8, and neuropilin1 concentrations did not differ between groups (P > 0.05). Serum VEGF concentration was negatively correlated with PANSS negative subscore (beta = -0.220, t = -2.07, P = 0.042), general psychopathology subscore (beta = -0.269, t = -2.55, P = 0.013), and total score (beta = -0.234, t = -2.12, P = 0.038), and positively correlated with RBANS language score (beta = 0.218, t = 2.03, P = 0.045). Alternatively, serum NRG1ß1 concentration was not correlated with clinical symptoms or cognitive deficits (all P > 0.05). CONCLUSION: Dysregulation of VEGF and NRG1ß1 signaling may contribute to the pathogenesis of chronic schizophrenia in males. Moreover, abnormal VEGF signaling may contribute directly or through intermediary processes to neuropsychiatric and cognitive symptom expression.

Association between postoperative hyperactive delirium and major complications in elderly patients undergoing emergency hip fracture surgery: A large-scale cohort study.

AIM: This cohort study aimed to explore the connection between postoperative hyperactive delirium and major complications in elderly patients undergoing emergency hip fracture surgery. METHODS: Elderly patients aged 65 years and older undergoing emergency hip fracture surgery were included in the study. The presence of postoperative hyperactive delirium was assessed, and logistic regression analysis, following propensity score matching, was conducted to investigate the association between postoperative hyperactive delirium and major complications occurring 30 and 90 days post-surgery. The analysis controlled for potential confounding factors. RESULTS: After propensity score matching, the analysis included 13 590 patients, equally distributed with 6795 in each group. The group experiencing postoperative hyperactive delirium exhibited a significantly elevated risk of 30-day postoperative complications, including acute renal failure, pneumonia, septicemia, and stroke, with adjusted odds ratios ranging from 1.64 to 2.39. Furthermore, this group displayed notably higher rates of 90-day postoperative complications, encompassing mortality, acute renal failure, pneumonia, septicemia, and stroke, with a significantly increased incidence of mortality within 90 days. CONCLUSION: Postoperative hyperactive delirium in elderly patients undergoing emergency hip fracture surgery is significantly linked to an increased risk of major complications at both 30 and 90 days post-surgery. These findings underscore the critical importance of delirium prevention and management in this patient population, offering the potential to reduce the occurrence of postoperative complications. Geriatr Gerontol Int 2024; 24: 730-736.

Assessing mortality risk in Type 2 Diabetes patients with prolonged ASCVD risk factors: the inclusive Poh-Ai predictive scoring system with CAC Score integration.

PURPOSE: To enhance the predictive risk model for all-cause mortality in individuals with Type 2 Diabetes (T2DM) and prolonged Atherosclerotic Cardiovascular Disease (ASCVD) risk factors. Despite the utility of the Coronary Artery Calcium (CAC) score in assessing cardiovascular risk, its capacity to predict all-cause mortality remains limited. METHODS: A retrospective cohort study included 1929 asymptomatic T2DM patients with ASCVD risk factors, aged 40-80. Variables encompassed demographic attributes, clinical parameters, CAC scores, comorbidities, and medication usage. Factors predicting all-cause mortality were selected to create a predictive scoring system. By using stepwise selection in a multivariate Cox proportional hazards model, we divided the patients into three risk groups. RESULTS: In our analysis of all-cause mortality in T2DM patients with extended ASCVD risk factors over 5 years, we identified significant risk factors, their adjusted hazard ratios (aHR), and scores: e.g., CAC score > 1000 (aHR: 1.57, score: 2), CAC score 401-1000 (aHR: 2.05, score: 2), and more. These factors strongly predict all-cause mortality, with varying risk groups (e.g., very low-risk: 2.0%, very high-risk: 24.0%). Significant differences in 5-year overall survival rates were observed among these groups (log-rank test < 0.001). CONCLUSION: The Poh-Ai Predictive Scoring System excels in forecasting mortality and cardiovascular events in individuals with Type 2 Diabetes Mellitus and extended ASCVD risk factors.

Dose-Dependent Effect of Aspirin Use in Reducing Diabetes-Associated Dementia Risk Among Elderly Patients With Type 2 Diabetes Mellitus.

OBJECTIVE: This study investigated the association between aspirin use and diabetes-associated dementia in older patients with type 2 diabetes mellitus (T2DM), assessing aspirin's potential protective effects, intensity of use, and dose-dependency against dementia. DESIGN: A cohort study evaluating the dose-dependent protective impact of aspirin against dementia in a population-based sample. SETTING AND PARTICIPANTS: Older patients with T2DM (≥60 years), comparing aspirin users with nonusers. METHODS: Used a time-varying Cox hazards model to assess dementia incidence. RESULTS: Older aspirin users exhibited a significant reduction in dementia risk (adjusted hazard ratio [aHR], 0.44; 95% CI, 0.41-0.46). The lowest aHRs for dementia were observed at a daily intensity of 0.91 defined daily doses (DDDs), and higher daily dosages (>0.91 DDD) showed gradually increasing aHRs (although still <1). Analysis of cumulative DDD revealed a dose-response relationship, with progressively lower aHRs across quartiles (0.16, 0.42, 0.57, and 0.63 for quartiles 4, 3, 2, and 1, respectively) compared with never aspirin users (P for trend < .0001). CONCLUSIONS AND IMPLICATIONS: Aspirin use in older patients with T2DM significantly reduces dementia risk. The optimal daily intensity of aspirin use (0.91 DDD) is associated with the lowest aHR for dementia. These findings suggest a dose-dependent relationship, supporting the potential benefits of higher cumulative dosages of aspirin in reducing dementia risk in this population.

Risk of Pediatric Bipolar Disorder After General Anesthesia in Infants and Toddlers: A Propensity Score-Matched Population-Based Cohort Study.

BACKGROUND AND HYPOTHESIS: The potential role of anesthesia as an independent risk factor for childhood bipolar disorder (BD) remains unclear. To address this, we conducted a population-based cohort study employing propensity score matching to compare BD incidence between pediatric patients undergoing surgery with and without general anesthesia. STUDY DESIGN: Our study included patients aged 0-3 years who received at least 1 episode of general anesthesia and were hospitalized for over 1 day in Taiwan between January 2004 and December 2014. They were matched 1:1 with a population not receiving general anesthesia to assess pediatric BD incidence. STUDY RESULTS: The study cohort comprised 15 070 patients, equally distributed between the general anesthesia and nongeneral anesthesia groups (7535 each). Multivariate Cox regression analysis revealed adjusted hazard ratios (aHRs; 95% CIs) for pediatric BD in the general anesthesia group as 1.26 (1.04-1.54; P = .021) compared to the nongeneral anesthesia group. Moreover, the incidence rate ratio (95% CI) for the general anesthesia group was 1.26 (1.03-1.53) compared to the nongeneral anesthesia group. CONCLUSIONS: Early childhood exposure to general anesthesia is significantly associated with an increased risk of pediatric BD. This expands understanding of pediatric BD's complex development, informing preventive strategies, and enhancing mental health outcomes for vulnerable young patients and global pediatric healthcare.

The impact of postoperative agitated delirium on dementia in surgical patients.

This study investigates the association between postoperative agitated delirium and the risk of dementia in patients who were cognitively intact before undergoing major inpatient surgery. The study included inpatients aged 20 years or older who underwent major surgery requiring general, epidural, or spinal anaesthesia and hospitalization for over one day in Taiwan between 2008 and 2018. Patients were categorized into two groups based on the presence or absence of postoperative agitated delirium. Propensity score matching was conducted to balance various covariates known to influence dementia risk. The final analysis included 10 932 patients (5466 in each group). Multivariate Cox regression analysis was performed to assess the risk of dementia, and incidence rates and incidence rate ratios were calculated. After Propensity score matching, the study cohort comprised 5467 patients without postoperative agitated delirium and 5467 patients with postoperative agitated delirium. In the multivariate Cox regression analysis, the adjusted hazard ratio for dementia were 1.26 (95% confidence intervals, 1.08-1.46; P = 0.003) in the postoperative agitated delirium group compared to the no postoperative agitated delirium group. The incidence rates of dementia was significantly higher in patients with postoperative agitated delirium (97.65 versus 70.85 per 10 000 person-years), with an incidence rate ratio of 1.21 (95% CI: 1.04-1.40). Our study demonstrates a substantial rise in dementia incidence linked to postoperative agitated delirium. These findings stress the need for effective prevention and management strategies. Addressing this issue emerges as a vital clinical approach to reduce subsequent dementia risk, with broad implications for enhancing overall perioperative patient outcomes.

Persistence of analgesic usage and opioid consumption in sarcopenic patients undergoing neuraxial anesthesia: a nationwide retrospective cohort study.

Introduction: This study investigates the association between chronic postsurgical pain (CPSP) and long-term postsurgical analgesic usage in patients undergoing neuraxial anesthesia, with a specific focus on the presence or absence of sarcopenia. Objectives: To assess the rate of analgesic prescription, including opioids, at 3 and 6 months postsurgery for patients with and without preoperative sarcopenia, and to determine the impact of sarcopenia on analgesic use after neuraxial anesthesia surgery. Methods: Patients undergoing surgery under neuraxial anesthesia were categorized into sarcopenic and nonsarcopenic groups based on preoperative diagnosis using the ICD-10-CM code M62.84. Propensity score matching in a 1:4 ratio was applied for group matching. Analgesic prescription rates were evaluated at 3 and 6 months postsurgery, and multivariable logistic regression was used to analyze analgesic use, comparing patients with and without preoperative sarcopenia. Results: Among 3805 surgical patients, 761 had sarcopenia, while 3044 did not. At 3 months postsurgery, 62.3% of sarcopenic patients received analgesics, with 2.9% receiving opioids, compared to 57.1% of nonsarcopenic patients receiving analgesics and 0.8% receiving opioids. At 6 months postsurgery, 30.8% of sarcopenic patients received analgesics (1.7% opioids), while 26.3% of non-sarcopenic patients received analgesics (0.3% opioids). Multivariable logistic regression analysis revealed that preoperative sarcopenia was significantly associated with higher analgesic prescription rates at both 3 months (adjusted odds ratio [aOR], 1.27; 95% confidence interval [CI], 1.05-1.53) and 6 months (aOR, 1.17; 95% CI, 1.07-1.42) postsurgery. Furthermore, sarcopenic patients exhibited significantly higher opioid prescription rates at 3 months (aOR, 1.11; 95% CI, 1.05-2.45) and 6 months (aOR, 1.89; 95% CI, 1.12-4.96) postsurgery. Conclusion: Sarcopenia emerges as an independent risk factor for prolonged analgesic use after neuraxial anesthesia surgery and significantly elevates the risk of developing CPSP.

Adapted diabetes complications severity index predicts dementia risk in ageing type 2 diabetes mellitus patients.

This study investigated the link between the adapted diabetes complication severity index at the time of type 2 diabetes mellitus diagnosis and diabetes-induced dementia risk in elderly patients. Elderly type 2 diabetes mellitus patients (age ≥ 60) were matched using propensity score matching. Cox regression was used to determine dementia hazard ratios; Kaplan-Meier method to assess cumulative incidence. The cohort included 256 214 elderly type 2 diabetes mellitus patients. Adapted diabetes complication severity index ≥ 1 showed higher dementia risk (adjusted hazard ratio: 1.30; 95% confidence interval: 1.27-1.34), increasing by 1.17-fold per adapted diabetes complication severity index point. Dementia risk rose progressively across adapted diabetes complication severity index scores (P < 0.0001). Higher adapted diabetes complication severity index scores at the time of type 2 diabetes mellitus diagnosis elevated dementia risk in elderly patients. Adapted diabetes complication severity index ≥ 1 is linked to increased dementia risk. Adapted diabetes complication severity index evaluation at the time of type 2 diabetes mellitus diagnosis could predict risk, aiding early interventions. Effective diabetes management is crucial for reducing dementia risk in this population.

Predictive value of ultrasonic artificial intelligence in placental characteristics of early pregnancy for gestational diabetes mellitus.

Background: To explore the predictive value of placental features in early pregnancy for gestational diabetes mellitus (GDM) using deep and radiomics-based machine learning (ML) applied to ultrasound imaging (USI), and to develop a nomogram in conjunction with clinical features. Methods: This retrospective multicenter study included 415 pregnant women at 11-13 weeks of gestation from two institutions: the discovery group from center 1 (n=305, control group n=166, GDM group n=139), and the independent validation cohort (n=110, control group n=57, GDM group n=53) from center 2. The 2D USI underwent pre-processed involving normalization and resampling. Subsequently, the study performed screening of radiomics features with Person correlation and mutual information methods. An RBF-SVM model based on radiomics features was constructed using the five-fold cross-validation method. Resnet-50 as the backbone network was employed to learn the region of interest and constructed a deep convolutional neural network (DLCNN) from scratch learning. Clinical variables were screened using one-way logistic regression, with P<0.05 being the threshold for statistical significance, and included in the construction of the clinical model. Nomogram was built based on ML model, DLCNN and clinical models. The performance of nomogram was assessed by calibration curves, area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA). Results: The AUCs for the ML model in the discovery cohort and independent validation cohort were 0.91 (0.88-0.94) and 0.86 (0.79-0.93), respectively. And 0.65 (0.59-0.71), 0.69 (0.59-0.79) for the DLCNN, 0.66 (0.59-0.72), 0.66 (0.55-0.76) for the clinical model, respectively. The nomogram exhibited the highest performance with AUCs of 0.93 (0.90-0.95) and 0.88 (0.81-0.94) The receiver operating characteristic curve (ROC) proved the superiority of the nomogram of clinical utility, and calibration curve showed the goodness of fit of the model. The DCA curve indicated that the nomogram outperformed other models in terms of net patient benefit. Conclusions: The study emphasized the intrinsic relationship between early pregnancy placental USI and the development of GDM. The use of nomogram holds potential for clinical applications in predicting the development of GDM.

Prognostic factors for survival in unresectable stage III EGFR mutation-positive lung adenocarcinoma: impact of pre-CCRT PET-CT.

PURPOSE: To assess the survival impact of pre-concurrent chemoradiotherapy (CCRT) staging with positron emission tomography-CT (PET-CT) in patients with unresectable epidermal growth factor receptor (EGFR) mutation-positive adenocarcinoma. METHODS: Patients with unresectable stage IIIA-IIIC EGFR mutation-positive adenocarcinoma undergoing definitive CCRT were divided into two groups: those who received PET-CT staging prior to CCRT and those with other staging methods. Survival outcomes were compared after propensity score matching. RESULTS: Analysis of 11 856 patients (5928 in each group) showed that PET-CT staging was associated with improved survival (adjusted HR of all-cause mortality: 0.74, 95% CI 0.71 to 0.79). Other prognostic factors included male sex, age group, clinical stage, adjuvant treatment, smoking status, Charlson Comorbidity Index score and treatment setting. CONCLUSION: Pre-CCRT staging with PET-CT in patients with unresectable EGFR mutation-positive adenocarcinoma of clinical stage IIIA-IIIC was associated with enhanced survival. Independent prognostic factors were also identified.

Sarcopenia and diabetes-induced dementia risk.

This study aimed to investigate whether sarcopenia independently increases the risk of diabetes-induced dementia in elderly individuals diagnosed with type 2 diabetes mellitus. The study cohort consisted of a large sample of elderly individuals aged 60 years and above, who were diagnosed with type 2 diabetes mellitus between 2008 and 2018. To minimize potential bias and achieve covariate balance between the sarcopenia and non-sarcopenia groups, we employed propensity score matching. Various statistical analyses, including Cox regression models to assess dementia risk and associations, competing risk analysis to account for mortality and Poisson regression analysis for incidence rates, were used. Before propensity score matching, the study included 406 573 elderly type 2 diabetes mellitus patients, with 20 674 in the sarcopenia group. Following propensity score matching, the analysis included a total of 41 294 individuals, with 20 647 in the sarcopenia group and 20 647 in the non-sarcopenia group. Prior to propensity score matching, elderly type 2 diabetes mellitus patients with sarcopenia exhibited a significantly higher risk of dementia (adjusted hazard ratio: 1.12, 95% confidence interval: 1.07-1.17). After propensity score matching, the risk remained significant (adjusted hazard ratio: 1.14, 95% confidence interval: 1.07-1.21). Incidence rates of dementia were notably higher in the sarcopenia group both before and after propensity score matching, underscoring the importance of sarcopenia as an independent risk factor. Our study highlights sarcopenia as an independent risk factor for diabetes-induced dementia in elderly type 2 diabetes mellitus patients. Advanced age, female gender, lower income levels, rural residency, higher adapted diabetes complication severity index and Charlson Comorbidity Index scores and various comorbidities were associated with increased dementia risk. Notably, the use of statins was linked to a reduced risk of dementia. This research underscores the need to identify and address modifiable risk factors for dementia in elderly type 2 diabetes mellitus patients, offering valuable insights for targeted interventions and healthcare policies.