To analyze the clinical and genetic features of oculopharyngodistal myopathy (OPDM) patients and compare the phenotypic differences among various causative genes.

Objective:To compare the medical costs of using standard fortified donor human milk (DHM) or preterm formula (PF) to supply very low birth weight [VLBW, defined as birth weight (BW) ≥1 000 g but <1 500 g] and extremely low birth weight (ELBW, defined as BW <1 000 g) premature infants with insufficient maternal breast milk.Methods:VLBW and ELBW preterm infants hospitalized in Peking Union Medical College Hospital from September 2017 to October 2020 were retrospectively enrolled and assigned into DHM group and PF group based on complementary feeding methods. The cost of parenteral nutrition (PN), cost of antibiotics, and total medical expenses during hospitalization were compared between the two groups.Results:A total of 89 infants were enrolled in this study, out of whom 50 was in the DHM group and 39 the PF group. The gestational age in DHM group and PF group were both (29±2) weeks. The BW of DHM group was 1 170 (919, 1 380)?g and that of PF group was 1 170 (1 010, 1 360) g. There were no significant differences in gestational age, BW, maternal age at delivery, delivery mode, gender ratio, proportion of small-for-gestational-age infants and length of hospital stay between the two groups (all P>0.05). The cost of parenteral nutrition in DHM group was significantly lower than that in PF group [3 500 (1 922, 5 704) Chinese yuan vs 7 995 (5 579, 10 788) Chinese Yuan, P<0.01]. The cost of antibiotics in DHM group was significantly lower than that in PF group [6 529 (2 265, 10 860) Chinese Yuan vs 13 676 (10 480, 18 506) Chinese Yuan, P<0.01]. The difference in total medical expense during hospitalization showed no statistical significance between two groups ( P>0.05). Amorg VLBW preterm infants, the cost of PN, cost of antibiotics, total cost of hospitalization, and daily cost of hospitalization in HDM group was significantly lower than that in PF group (all P<0.05). In ELBW preterm infants, the cost of PN and the cost of antibiotics in HDM group were significantly lower than that in PF group (both P<0.05), but the total cost of hospitalization and the daily cost of hospitalization between two groups showed no significant difference (all P>0.05). Conclusions:When mother's own milk is insufficient, using donor human milk reduces the costs of PN and antibiotics in VLBW and ELBW preterm infants compared with using PF. In VLBW preterm infants, using DHM can also reduce the total and daily cost of hospitalization.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To compare the medical costs of using standard fortified donor human milk (DHM) or preterm formula (PF) to supply very low birth weight [VLBW, defined as birth weight (BW) ≥1 000 g but <1 500 g] and extremely low birth weight (ELBW, defined as BW <1 000 g) premature infants with insufficient maternal breast milk.Methods:VLBW and ELBW preterm infants hospitalized in Peking Union Medical College Hospital from September 2017 to October 2020 were retrospectively enrolled and assigned into DHM group and PF group based on complementary feeding methods. The cost of parenteral nutrition (PN), cost of antibiotics, and total medical expenses during hospitalization were compared between the two groups.Results:A total of 89 infants were enrolled in this study, out of whom 50 was in the DHM group and 39 the PF group. The gestational age in DHM group and PF group were both (29±2) weeks. The BW of DHM group was 1 170 (919, 1 380)?g and that of PF group was 1 170 (1 010, 1 360) g. There were no significant differences in gestational age, BW, maternal age at delivery, delivery mode, gender ratio, proportion of small-for-gestational-age infants and length of hospital stay between the two groups (all P>0.05). The cost of parenteral nutrition in DHM group was significantly lower than that in PF group [3 500 (1 922, 5 704) Chinese yuan vs 7 995 (5 579, 10 788) Chinese Yuan, P<0.01]. The cost of antibiotics in DHM group was significantly lower than that in PF group [6 529 (2 265, 10 860) Chinese Yuan vs 13 676 (10 480, 18 506) Chinese Yuan, P<0.01]. The difference in total medical expense during hospitalization showed no statistical significance between two groups ( P>0.05). Amorg VLBW preterm infants, the cost of PN, cost of antibiotics, total cost of hospitalization, and daily cost of hospitalization in HDM group was significantly lower than that in PF group (all P<0.05). In ELBW preterm infants, the cost of PN and the cost of antibiotics in HDM group were significantly lower than that in PF group (both P<0.05), but the total cost of hospitalization and the daily cost of hospitalization between two groups showed no significant difference (all P>0.05). Conclusions:When mother's own milk is insufficient, using donor human milk reduces the costs of PN and antibiotics in VLBW and ELBW preterm infants compared with using PF. In VLBW preterm infants, using DHM can also reduce the total and daily cost of hospitalization.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Insulin is an important protein hormone that participates in multiple metabolic pathways.Biosynthetic insulin has been widely used in the treatment of type 1 and type 2 diabetes.Currently,the number of reported cases of insulin overdose both at home and abroad is gradually increasing,and insulin homicide is no longer a means of"committing murder without leaving a trace".At present,there are no systematic protocols for the identification of insulin overdose in the field of forensic medi-cine in China.This article introduces the causes,toxicological characteristics,forensic examination,labo-ratory testing methods and indicator reference of insulin overdose.Based on the identification practice and research results and referring to relevant studies on insulin overdose at home and abroad,this pa-per aims to provide recommendations and references for the formulation of forensic identification guide-lines for insulin overdose cases.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.