Search

Background: Diabetic foot ulcers (DFU), characterized by open sores or wounds primarily occurring on the feet of diabetes patients, are a serious and highly morbid complication of long-standing diabetes, accounting for significant morbidity and mortality. These ulcers develop when diabetes damages both nerves and blood vessels, a combination known as neurovascular complications. Neurovascular disease is a well-established risk factor. While studies have extensively examined risk factors for DFU, few have specifically focused on patients with diabetic neurovascular disease. Therefore, we assess the prevalence and risk factors for DFU in diabetic patients with established neurovascular complications. Methods: This study analyzed data from 6722 patients with diabetic neurovascular disease aged over 18 years old from the Southern Medical University Nanfang Hospital (SMUNFH) database (2018–2023) and 2689 patients with the same condition and age range from the National Institutes of Health (NIH) Integrated Surveillance System (NIS) database (2017–2019). The incidence of DFU was determined using information from the NIS database and SMUNFH databases. A binary logistic regression model was employed to explore the risk factors for DFU. Results: The incidence of DFU among neurovascular disease patients was 13.4% at SMUNH and 25.9% in the NIS Asian population. Multiple regression analysis identified several factors associated with DFU in the SMUNH database, including diabetic retinopathy, diabetic nephropathy, osteomyelitis, coronary heart disease, tinea pedis (fungal foot infection), sepsis, ability to sense a 128 Hz tuning fork (both left and right sides), C-reactive protein (CRP) levels, and urinary albumin-to-creatinine ratio (ACR). Analysis of NIS data revealed that in the broader Asian population, peripheral vascular disorders and osteomyelitis were associated with DFU. Conclusion: The prevalence of DFU is higher in Asia than in China. Focusing on peripheral vascular disorders and osteomyelitis can effectively reduce the prevalence of DFU in the Asian population while addressing diabetic retinopathy, diabetic nephropathy, osteomyelitis, coronary heart disease, tinea pedis, ability to sense a 128 Hz tuning fork, CRP levels, and urinary ACR can be effective in China. [ABSTRACT FROM AUTHOR]

In order to scientifically control pests and improve the yield and quality of tea, according to the meteorological data of solstice County, Chizhou City, Anhui Province and the pest data of tea tree small green leaf cicada, Stata software was used to analyze the correlation of the occurrence and meteorological data, to find out the occurrence rules and influencing factors of pests, so as to provide a basis for pest control.

Background: Diabetic foot ulcers (DFU) are a major complication associated with significant morbidity and mortality. While numerous studies have investigated risk factors for these ulcers in general, few have focused specifically on patients with Neurovascular Complications of Diabetes. This study aimed to evaluate the prevalence and risk factors for DFU in this specific population., Methods: We analyzed data from the National Institutes of Health (NIS) database for the years 2017-2019, involving a cohort of 161,834 patients aged over 18 who were diagnosed with neurovascular complications of diabetes. Demographic characteristics (age, gender, ethnicity), hospital characteristics, comorbidities, and other relevant data were included for analysis. A binary logistic regression model was generated to identify independent risk factors for DFU., Results: The prevalence of DFU among patients with neurovascular complications of diabetes was 29.4% during the period from 2017 to 2019. Compared to patients without DFU, those with DFU had longer hospitalization times and higher costs. The multiple regression analysis revealed that Iron-deficiency anemia (OR, 1.10; 95% CI, 1.01-1.11; P =0.019), Hypertension (OR, 1.07; 95% CI, 1.03-1.11; P =0.001), Obesity (OR, 1.08; 95% CI, 1.06-1.11; P <0.001), Peripheral vascular disorders (PVD) (OR, 1.69; 95% CI, 1.65-1.74; P <0.001), Osteomyelitis (OR, 7.10; 95% CI, 6.89-7.31; P <0.001), Tinea pedis (OR, 1.89; 95% CI, 1.59-2.26; P <0.001), Sepsis (OR, 1.24; 95% CI, 1.20-1.28; P <0.001), and onychomycosis (OR, 1.26; 95% CI, 1.13-1.42; P <0.001) were independent predictors for DFU in this population., Conclusion: The study found a high prevalence of DFU in patients with neurovascular complications of diabetes. Identifying and addressing risk factors such as deficiency anemia, hypertension, obesity, PVD, infections, and foot conditions may contribute to reducing the prevalence of DFU in this vulnerable population., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Fan, Huang, Liu, Xie, Yang, Liang and Ding.)

Purpose: We first aimed to compare the prognostic difference between the application of Contrast-enhanced computed tomography (CECT) and Non-enhanced computed tomography (NECT) in hepatocellular carcinoma(HCC) patients with early-stage immediately after ablation. We secondly propose to explore the risk factors for recurrence in patients undergoing CECT, and then develop a nomogram., Patients and Methods: Clinical data were collected from 711 patients who received TACE combined with ablation from January 1, 2015, to December 31, 2022, at Beijing Youan Hospital. According to the imaging methods applied after ablation, patients were categorized into the CECT group and the NECT group and then were compared by Kaplan-Meier (KM) curves. Lasso regression is used to screen risk factors for recurrence and the nomogram was plotted. Finally, discrimination, calibration plot, and decision curve analysis (DCA) were used to measure the performance of the nomogram., Results: The KM curve indicates that recurrence-free survival (RFS) was longer in the CECT group than in the NECT group (HR =0.759, 95% CI 0.606-0.951, P=0.016). Six variables were selected to construct the nomogram. 1-, 3-, and 5-year area under the curves (AUCs) (0.867, 0.731, 0.773 and 0.896, 0.784, 0.773) of the training and validation cohorts proved the good predictive performance of the nomogram. Calibration curves and DCA curves suggested accuracy and net clinical benefit rates. The nomogram enabled to classify of patients into three groups according to the risk of recurrence: low risk, intermediate risk, and high risk. There was a statistically significant difference in RFS between the two groups in the training and validation cohorts (P<0.001)., Conclusion: We demonstrated that HCC patients who underwent CECT evaluation after ablation had a better prognosis, making this evaluation method highly recommended for guiding clinical management., Competing Interests: The authors report no conflicts of interest in this work., (© 2024 Qiao et al.)