OBJECTIVE To establish a full-cycle management model for type 2 diabetes mellitus （T2DM） patients led by clinical pharmacists. METHODS Based on literature research， a basic framework and items of full-cycle management model led by clinical pharmacists were initially formulated. The Delphi method was adopted to conduct questionnaire inquiries among 26 experts to determine the specific implementation items of the model. The analytic hierarchy process （AHP） method was used to determine the weight values of items at all levels， and the reliability and validity of the model items were analyzed. RESULTS The recovery rates of the two rounds of expert consultation questionnaires were 86.67% and 100%， respectively， and the expert authority coefficient was 0.88. Kendall’s concordance coefficients of the tertiary-level items were 0.064 and 0.084， respectively， and the P values from the χ 2 tests were all less than 0.05； the consistent ratios of the judgment matrices for all levels of AHP model were all less than 0.1. The established full-cycle management led by clinical pharmacists comprised three primary-level items （pharmacy service pathway for T2DM patients during hospitalization， pharmacy management pathway for hypoglycemia in T2DM inpatients， and the pharmacy follow-up pathway for T2DM discharged patients， with weights of 0.098， 0.568 and 0.334， respectively）， twelve secondary-level items （e.g. pharmaceutical care during hospitalization for 1 to 2 days， admission assessment and education， with weights ranging from 0.143 to 0.333） and thirty-seven tertiary-level items （e.g. assessment of medication compliance， verification of the medication plan for discharge， with weights ranging from 0.068 to 0.750）. Cronbach’s α coefficients for primary-level items and the overall questionnaire were 0.762， 0.879， 0.928 and 0.951， respectively. The item-level and scale-level content validity indexes were 0.967 and 0.808， respectively. CONCLUSIONS A full-cycle management model for T2DM patients led by clinical pharmacists has been constructed successfully， demonstrating high scientificity and reliability.

OBJECTIVES: To analyze the disease burden and inequalities of lower extremity peripheral artery disease (LEPAD) among people aged 40 and above in the Belt and Road partner countries from 1990 to 2021. METHODS: Data were retrieved from the Global Burden of Disease 2021 database. The age-standardized prevalence rates, mortality rates, and the annual rate of years lived with disability (YLDs) of LEPAD were analyzed. Trends were measured using the estimated annual percentage change (EAPC), and the slope index of inequality (SII) and concentration index were used to quantify the absolute and relative inequalities. RESULTS: In 2021, the age-standardized prevalence and mortality rates of LEPAD were 3168.26/10⁵ and 3.09/10⁵, increasing by 4.30% and 19.31% compared to 1990, while YLDs rates decreased by 4.00%. Females had higher age-standardized prevalence and YLDs rates, while males had higher mortality rates. The EAPC for prevalence rates was slightly higher in males (0.22%) than in females (0.17%); while the EAPC of age-standardized mortality rate was 2.02% for females, compared to 1.45% for males. From 1990 to 2021, the age-standardized YLDs rates decreased from 16.23/10⁵ to 15.58/10⁵, with a faster decline in females (－0.12%) than in males (－0.06%). LEPAD prevalence varied across countries, with higher burden in Europe and faster growth in Gulf states. Higher socio-demographic index countries had higher prevalence. Inequity improved, with the SII at 52.90/10⁵ and concentration index at 0.038 in 2021. Gender disparities persisted, with concentration index increased to 0.058 in females and reduced to －0.026 in males. CONCLUSIONS LEPAD prevalence and mortality among people aged 40 and above in the Belt and Road partner countries increased, while YLDs rates decreased from 1990 to 2021. Significant differences among people exist depending on gender and country, highlighting the need for enhanced screening, health education, and shared public health strategies across the Belt and Road partner countries.
Humans ; Peripheral Arterial Disease/mortality* ; Male ; Female ; Middle Aged ; Adult ; Aged ; Prevalence ; Lower Extremity/blood supply* ; Global Burden of Disease ; Cost of Illness

In current clinical practice, various dermal templates and skin substitutes are used to enhance wound healing. However, the role of wound commensal microbiome in regulating scaffold performance and the healing process remains unclear. In this study, we investigated the influence of both natural and synthetic scaffolds on the wound commensal microbiome and wound repair in three distinct models including diabetic wounds, burn injuries, and germ-free (GF) wounds. Remarkably, synthetic electrospun polycaprolactone (PCL) scaffolds were observed to positively promote microbiome diversity, leading to enhanced diabetic wound healing compared to the natural scaffolds Integra® (INT) and MatriDerm® (MAD). In contrast, both natural and synthetic scaffolds exhibited comparable effects on the diversity of the microbiome and the healing of burn injuries. In GF wounds with no detectable microorganisms, a reversed healing rate was noted showing natural scaffold (MAD) accelerated wound repair compared to the open or the synthetic scaffold (PCL) treatment. Furthermore, the response of the wound commensal microbiome to PCL scaffolds appears pivotal in promoting anti-inflammatory factors during diabetic wound healing. Our results emphasize that the wound commensal microbiome, mediated by different scaffolds plays an important role in the wound healing process.

Objective:To clarify the natural course of renal angiomyolipoma and the risk factors for its progression.Methods:This was a retrospective case-control study that included 401 patients diagnosed several times by ultrasound examination in the hospital physical examination system from January 2012 to June 2024. All patients were untreated. There were 128 male cases (31.90%) and 273 female cases (68.10%). The average age at initial diagnosis was (44.04 ± 10.24) years (range 22-78 years). The median longest diameter of the tumor at initial diagnosis was 9.0 (7.0, 11.5) mm. There were 359 cases (89.50%) with single tumors and 42 cases (10.50%) with multiple tumors. The patients were divided into the progression group(≥1 mm/year) and the non-progression group (<1 mm/year)based on the average growth rate of tumor. The differences in gender, age at initial diagnosis, initial tumor size, number of lesions and lesion site between the two groups were compared. Univariate logistic regression analysis was used to explore the relationship between the above factors and the progression of renal angiomyolipoma. Multivariate logistic regression analysis was conducted to identify the risk factors for progression.Results:A total of 401 cases were followed up for an average of (88.15 ± 21.09) months (range 48-140 months). The median maximum diameter of the tumors at the initial diagnosis was 9.0 (7.0, 11.5) mm, and at the end of the follow-up, it was 11 (8, 14) mm. The average growth rate was 0.38 mm/year, and the median growth rate was 0.25 (0, 0.60) mm/year. Among them, 341 cases (85.04%) were in the non-progression group with an average growth rate of 0.14 mm/year, and 60 cases (14.96%) were in the progression group with an average growth rate of 1.74 mm/year. The age of the progression group was lower than that of the non-progression group [(41.43 ± 9.64) years vs. (44.50±10.29) years], the initial maximum diameter of the tumors in the progression group was larger than that in the non-progression group [11.0 (8.0, 16.0) mm vs. 9.0 (7.0, 11.0) mm], and the proportion of multiple tumors in the progression group was higher than that in the non-progression group [14 cases (23.30%) vs. 28 cases (8.20%)], and the differences were all statistically significant ( P<0.05). Age at initial diagnosis( OR=0.96, 95% CI 0.93-0.99), initial tumor size ( OR=1.08, 95% CI 1.04-1.12) and number of lesions ( OR=2.96, 95% CI 1.38-6.34) were the risk factors for the growth of renal angiomyolipoma ( P<0.05), according to the results of multivariate logistic regression analysis. Conclusions:The natural history of most renal angiomyolipoma shows slow growth or relative quiescence, with a small number showing a significant increasing trend. Age at initial diagnosis, initial tumor size and number of lesions were independent risk factors for the growth of renal angiomyolipoma.

Objective:To clarify the natural course of renal angiomyolipoma and the risk factors for its progression.Methods:This was a retrospective case-control study that included 401 patients diagnosed several times by ultrasound examination in the hospital physical examination system from January 2012 to June 2024. All patients were untreated. There were 128 male cases (31.90%) and 273 female cases (68.10%). The average age at initial diagnosis was (44.04 ± 10.24) years (range 22-78 years). The median longest diameter of the tumor at initial diagnosis was 9.0 (7.0, 11.5) mm. There were 359 cases (89.50%) with single tumors and 42 cases (10.50%) with multiple tumors. The patients were divided into the progression group(≥1 mm/year) and the non-progression group (<1 mm/year)based on the average growth rate of tumor. The differences in gender, age at initial diagnosis, initial tumor size, number of lesions and lesion site between the two groups were compared. Univariate logistic regression analysis was used to explore the relationship between the above factors and the progression of renal angiomyolipoma. Multivariate logistic regression analysis was conducted to identify the risk factors for progression.Results:A total of 401 cases were followed up for an average of (88.15 ± 21.09) months (range 48-140 months). The median maximum diameter of the tumors at the initial diagnosis was 9.0 (7.0, 11.5) mm, and at the end of the follow-up, it was 11 (8, 14) mm. The average growth rate was 0.38 mm/year, and the median growth rate was 0.25 (0, 0.60) mm/year. Among them, 341 cases (85.04%) were in the non-progression group with an average growth rate of 0.14 mm/year, and 60 cases (14.96%) were in the progression group with an average growth rate of 1.74 mm/year. The age of the progression group was lower than that of the non-progression group [(41.43 ± 9.64) years vs. (44.50±10.29) years], the initial maximum diameter of the tumors in the progression group was larger than that in the non-progression group [11.0 (8.0, 16.0) mm vs. 9.0 (7.0, 11.0) mm], and the proportion of multiple tumors in the progression group was higher than that in the non-progression group [14 cases (23.30%) vs. 28 cases (8.20%)], and the differences were all statistically significant ( P<0.05). Age at initial diagnosis( OR=0.96, 95% CI 0.93-0.99), initial tumor size ( OR=1.08, 95% CI 1.04-1.12) and number of lesions ( OR=2.96, 95% CI 1.38-6.34) were the risk factors for the growth of renal angiomyolipoma ( P<0.05), according to the results of multivariate logistic regression analysis. Conclusions:The natural history of most renal angiomyolipoma shows slow growth or relative quiescence, with a small number showing a significant increasing trend. Age at initial diagnosis, initial tumor size and number of lesions were independent risk factors for the growth of renal angiomyolipoma.

Objective: To investigate the correlation between magnetic resonance imaging-based vertebral bone quality (VBQ) score and screw loosening after dynamic pedicle screw fixation with polyetheretherketone (PEEK) rods, and evaluate its predictive value. Methods: A retrospective analysis was conducted on the patients who underwent dynamic pedicle screw fixation with PEEK rods from March 2017 to June 2022. Data on age, sex, body mass index, hypertension, diabetes, hyperlipidemia history, long-term smoking, alcohol consumption, VBQ score, L1–4 average Hounsfield unit (HU) value, surgical fixation length, and the lowest instrumented vertebra were collected. Logistic regression analysis was employed to assess the relationship between VBQ score and pedicle screw loosening (PSL). Results: A total of 24 patients experienced PSL after surgery (20.5%). PSL group and non-PSL group showed statistical differences in age, number of fixed segments, fixation to the sacrum, L1–4 average HU value, and VBQ score (p < 0.05). The VBQ score in the PSL group was higher than that in the non-PSL group (3.56 ± 0.45 vs. 2.77 ± 0.31, p < 0.001). In logistic regression analysis, VBQ score (odds ratio, 3.425; 95% confidence interval, 1.552–8.279) were identified as independent risk factors for screw loosening. The area under the receiver operating characteristic curve for VBQ score predicting PSL was 0.819 (p < 0.05), with the optimal threshold of 3.15 (sensitivity, 83.1%; specificity, 80.5%). Conclusion The VBQ score can independently predict postoperative screw loosening in patients undergoing lumbar dynamic pedicle screw fixation with PEEK rods, and its predictive value is comparable to HU value.

Objective: To investigate the correlation between magnetic resonance imaging-based vertebral bone quality (VBQ) score and screw loosening after dynamic pedicle screw fixation with polyetheretherketone (PEEK) rods, and evaluate its predictive value. Methods: A retrospective analysis was conducted on the patients who underwent dynamic pedicle screw fixation with PEEK rods from March 2017 to June 2022. Data on age, sex, body mass index, hypertension, diabetes, hyperlipidemia history, long-term smoking, alcohol consumption, VBQ score, L1–4 average Hounsfield unit (HU) value, surgical fixation length, and the lowest instrumented vertebra were collected. Logistic regression analysis was employed to assess the relationship between VBQ score and pedicle screw loosening (PSL). Results: A total of 24 patients experienced PSL after surgery (20.5%). PSL group and non-PSL group showed statistical differences in age, number of fixed segments, fixation to the sacrum, L1–4 average HU value, and VBQ score (p < 0.05). The VBQ score in the PSL group was higher than that in the non-PSL group (3.56 ± 0.45 vs. 2.77 ± 0.31, p < 0.001). In logistic regression analysis, VBQ score (odds ratio, 3.425; 95% confidence interval, 1.552–8.279) were identified as independent risk factors for screw loosening. The area under the receiver operating characteristic curve for VBQ score predicting PSL was 0.819 (p < 0.05), with the optimal threshold of 3.15 (sensitivity, 83.1%; specificity, 80.5%). Conclusion The VBQ score can independently predict postoperative screw loosening in patients undergoing lumbar dynamic pedicle screw fixation with PEEK rods, and its predictive value is comparable to HU value.