OBJECTIVE: To investigate the serological prevalence of high-titer IgG antibodies against 2019-nCoV among voluntary blood donors in Zunyi. METHODS: The blood plasma specimens were diluted at 1∶160 or 1∶320, then tested for the presence of 2019-nCoV IgG antibodies by using an indirect enzyme-linked immunosorbent assay(ELISA). The differences of antibody reactive rate among different genders, ages, and blood types were analyzed. RESULTS: 1 523 reactive specimens were identified in 5 378 specimens which were diluted at a ratio of 1∶160. Similarly, 329 reactive specimens were identified in 2 988 diluted at 1∶320. The overall reactive rate for antibodies was 22.1%. It was observed that females, individuals over the age of 40, and those with blood type AB exhibited higher high-titer antibody reactive rate. CONCLUSION After entering a new stage of 2019-nCoV infection prevention and control, there is a relatively high detection rate of high-titer 2019-nCoV IgG antibodies among voluntary blood donors in Zunyi. The reactive rate of antibodies varies among different genders, ages, and blood types.
Humans ; Blood Donors ; Immunoglobulin G/blood* ; Antibodies, Viral/blood* ; SARS-CoV-2/immunology* ; COVID-19 ; Female ; Enzyme-Linked Immunosorbent Assay ; Adult ; China ; Male ; Middle Aged

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

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 construct a quality evaluation index system for perianal infection care in patients with hematologic neoplasms, aiming to establish a standardized approach for care.Methods:A quality evaluation index system for perianal infection management in patients with hematologic neoplasms was developed from January to June 2023 using Donabedian′s "Structure- Process- Outcome" approach, based on evidence- based literature study and expert conference discussions. An index system for evaluating the quality of perianal infection care in patients with hematologic neoplasms was established through expert consultation, and the weights for each indicator were derived using the analytic hierarchy process.Results:Two rounds of expert consultations were conducted, involving 27 experts aged 30 to 53 (38.85 ± 6.13) years, in which of them there were 1 male and 26 females. The positive coefficients of the experts in the two rounds of consultations were 100.00% (27/27) and 96.30% (26/27), respectively. The expert authority coefficients were 0.874 and 0.881, respectively, and the Kendall coordination coefficients were 0.234 and 0.219 (both P<0.05). The quality evaluation index system for perianal infection management in patients with hematologic neoplasms consisted of 3 main indicators (structural quality, process quality, outcome quality), 12 secondary indicators, and 48 tertiary indicators. Conclusions:The process of developing the quality assessment criteria for perianal infection care in patients with hematologic neoplasms is systematic and yields dependable results. The criteria cover a wide range of aspects and are specific, offering a valuable framework for assessing the quality of perianal infection care in patients with hematologic neoplasms.

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 construct a quality evaluation index system for perianal infection care in patients with hematologic neoplasms, aiming to establish a standardized approach for care.Methods:A quality evaluation index system for perianal infection management in patients with hematologic neoplasms was developed from January to June 2023 using Donabedian′s "Structure- Process- Outcome" approach, based on evidence- based literature study and expert conference discussions. An index system for evaluating the quality of perianal infection care in patients with hematologic neoplasms was established through expert consultation, and the weights for each indicator were derived using the analytic hierarchy process.Results:Two rounds of expert consultations were conducted, involving 27 experts aged 30 to 53 (38.85 ± 6.13) years, in which of them there were 1 male and 26 females. The positive coefficients of the experts in the two rounds of consultations were 100.00% (27/27) and 96.30% (26/27), respectively. The expert authority coefficients were 0.874 and 0.881, respectively, and the Kendall coordination coefficients were 0.234 and 0.219 (both P<0.05). The quality evaluation index system for perianal infection management in patients with hematologic neoplasms consisted of 3 main indicators (structural quality, process quality, outcome quality), 12 secondary indicators, and 48 tertiary indicators. Conclusions:The process of developing the quality assessment criteria for perianal infection care in patients with hematologic neoplasms is systematic and yields dependable results. The criteria cover a wide range of aspects and are specific, offering a valuable framework for assessing the quality of perianal infection care in patients with hematologic neoplasms.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Objective:Serological and molecular biology methods were used to identify the blood type of a patient with forward and reverse ABO typing inconsistency,and to explore the genetic characteristics of this blood type.Methods:The ABO phenotype of the proband was identified by tube method,and the ABO blood group genotype of the proband and her parents was determined by fluorescent PCR.The 7 exons of the ABO gene were directly sequenced and analyzed.Results:According to preliminary serological identification,the ABO phenotype of this patient was Bel subtype.Genotyping tests showed that the ABO genotype of the proband and her father was B/O1,and her mother was O1/O1.Sequencing of exons revealed novel heterozygous variations in exon 1:c.16_17delinsTGTTGCA.Conclusion:The Novel variations in exon 1 led to Bel subtype in the ABO blood group of the proband,and these variations are heritable.