Objective:To analyze and compare the reporting data of adverse events following immunization (AEFI) of influenza vaccines in Fujian Province from 2019 to 2023.Methods:Using the National Immunization Program Information Management System, the AEFI reports and vaccination data of influenza vaccines in Fujian Province from 2019 to 2023 were collected, and the reporting rates and clinical characteristics of AEFI of 6 types of influenza vaccines were compared. The 6 types of vaccines in the analysis were as follows: trivalent inactivated influenza vaccines (IIV3) for 6-35 months old people, IIV3 for ≥3 years old people, trivalent live attenuated nasal spray vaccine (LAIV3) for 3-17 years old people, quadrivalent inactivated influenza vaccines (IIV4) for 6-35 months old people, IIV4 for ≥6 months old people, and IIV4 for ≥3 years old people.Results:From 2019 to 2023, a total of 87 687.21 million doses of influenza vaccine were vaccinated in Fujian Province, and 510 cases of AEFI were reported, with a reporting rates of 5.82 per 100 000 doses. Among the 510 cases, 443 (86.86%) were general reactions, 56 (10.98%) were abnormal reactions, 1 (0.20%) was psychogenic reactions, and 10 (1.96%) were coincidence. There were no reports of vaccination accidents and vaccine quality accidents. The reporting rates of AEFI were relatively higher in 2019 and 2020 (18.38 and 18.00 per 100 000 doses, respectively), and lower in 2021, 2022 and 2023 (8.91, 10.68 and 2.30 per 100 000 doses, respectively); the differences were statistically significant (all P<0.05). The differences of reporting rates of AEFI between IIV3 for 6-35 months old people and IIV4 for 6-35 months old people, the injectable vaccines and nasal spray vaccines were not statistically significant. However, the reporting rates of overall AEFI, general reactions and abnormal reactions of IIV3 for ≥3 years old people were all higher than those of IIV4 for ≥3 years old people (7.77 per 100 000 doses vs. 3.88 per 100 000 doses, 6.18 per 100 000 doses vs. 3.59 per 100 000 doses, 1.41 per 100 000 doses vs. 0.19 per 100 000 doses). The reporting rates of overall AEFI and general reaction of IIV3 for 6-35 months old people were both higher than those of IIV3 for ≥3 years old (16.47 per 100 000 doses vs. 7.77 per 100 000 doses, 13.05 per 100 000 doses vs. 6.18 per 100 000 doses), and the differences were statistially significant (all P<0.05). The reporting rates of general abnormal reactions of IIV4 for 6-35 months old and ≥ 6 months old people were both higher than those of IIV4 for ≥3 years old people (14.73 per 100 000 doses and 9.52 per 100 000 doses vs. 3.88 per 100 000 doses); the reporting rates of general reactions and abnormal reactions of IIV4 for ≥6 months old people were both higher than those of IIV4 for ≥3 years old people (12.94 per 100 000 doses vs. 3.59 per 100 000 doses, 1.34 per 100 000 doses vs. 0.19 per 100 000 doses), the differences were statistcially significant (all P<0.05). In terms of clinical features, the reporting rates of fever (37.6-38.5 ℃ and ≥ 38.5 ℃), local redness and swelling (diameter 2.6-5.0 cm), and local induration (diameter ≤2.5 cm and 2.6-5.0 cm) after vaccination of IIV3 for ≥3 years old people were higher than those of IIV4 for ≥ 3 years old people (1.41 per 100 000 doses vs. 0.64 per 100 000 doses, 3.00 per 100 000 doses vs. 1.16 per 100 000 doses); the reporting rates of allergic rash and angioedema of IIV3 for ≥ 3 years old people were higher than those of IIV4 for ≥3 years old people (0.53 per 100 000 doses vs. 0.12 per 100 000 doses, 0.35 per 100 000 doses vs. 0); the differences were statistically significant (all P<0.016 7). Conclusions:The reporting rates of AEFI for influenza vaccines in Fujian Province from 2019 to 2023 was showing a downward trend. The AEFI was mainly general reactions. The reporting rates of AEFI were different among different influenza vaccines, but the overall safety was good.

To investigate the mutations of NF1 and clinical phenotypes in patients with sporadic neurofibromatosis type 1 (NF1). This is aimed to evaluate the efficacy of high-throughput sequencing in diagnosing atypical cases, to expand the mutational spectrum of NF1, and to provide early diagnosis of NF1. Clinical data from 11 sporadic NF1 patients without family history treated at the Fifth Affiliated Hospital of Sun Yat-sen University (2019-2023) were collected. The mutations of NF1 gene were detected using whole-exome sequencing or chip-capture high-throughput sequencing, followed by bioinformatics analysis. Novel mutations were screened against normal population databases to exclude benign polymorphisms, and pathogenicity of the mutations was classified according to ACMG guidelines. The results showed that two novel frameshift mutations were identified: c.7904del (p.Asp2635Valfs*9) and c.5122_5123del (p.Phe1708Hisfs*9). The patient carrying c.7904del exhibited an undocumented phenotype of posterior medullary ischemic degeneration. Among the 11 NF1 patients, the types of mutations included frameshift (4/11), nonsense (3/11), intronic (2/11), splicing (1/11), and start codon variants (1/11). Common phenotypes were cafe-au-lait macules (8/11) and neurofibromas (6/11), yet significant phenotypic heterogeneity existed among patients sharing identical mutations. In conclusion, this study discovered two novel NF1 mutations and an unreported phenotype, expanding both the NF1 mutational spectra and highlights the need for attention to cerebrovascular status in patients carrying NF1 mutations. High-throughput sequencing significantly enhances molecular diagnostic efficacy for atypical NF1, providing a critical basis for clinical NF1 diagnosis.

Objective:To analyze the effect of joint management of type 2 diabetes mellitus (T2DM) between specialty and community under the model of National Diabetes Prevention and Control Center (DPCC).Methods:A total of 2 527 T2DM patients managed by DPCC Pingshan Center of Shenzhen from January 1, 2022 to December 31, 2024 were retrospectively included. After management, the rate of downturn, reexamination rate, blood pressure compliance rate, metabolic indicators (waist circumference, body mass index, fasting blood glucose, glycosylated hemoglobin, blood lipids) and screening rate of chronic complications of diabetes (atherosclerotic cardiovascular disease, microvascular disease, diabetic peripheral neuropathy) were analyzed. Those included 2022 ( n=564), 2023 ( n=1 477), and 2024 ( n=2 527). Results:The downturn rate in 2022, 2023 and 2024 increased year by year (22.8% vs 67.2% vs 89.9%, P<0.01), and the review rate (41.1% vs 62.2% vs 52.7%, P<0.01), complication screening rate (51.6% vs 85.3% vs 62.2%, P<0.01), blood pressure compliance rate (53.1% vs 78.0% vs 67.2%, P<0.01), body mass index compliance rate (13.2% vs 17.3% vs 28.6%, P<0.01), fasting blood glucose meeting rate (46.4% vs 60.2% vs 68.5%, P<0.01), glycated hemoglobin meeting rate (58.4% vs 63.2% vs 45.6%, P<0.01) were relatively improved. Waist circumference compliance rate (30.6% vs 27.7% vs 21.6%) and blood lipid compliance rate (33.6% vs 35.5% vs 31.9%) were not significantly improved, and the review rate, blood pressure compliance rate and complication screening rate in 2024 were lower than those in 2023 and higher than those in 2022. Conclusions:The combined management of type 2 diabetes under the DPCC model has significant effects on improving the down-conversion rate, rediagnosis rate, blood pressure compliance rate, metabolic index compliance rate and the screening rate of diabetes-related chronic complications in patients with diabetes. At the same time, it was also found that with the progress of hierarchical diagnosis and treatment, the review rate, complication screening rate, blood pressure, waist circumference, blood lipid and glycosylated hemoglobin reached the standard of patients decreased compared with the previous situation, which needs to be further analyzed and improved.

Objective:To analyze the effect of joint management of type 2 diabetes mellitus (T2DM) between specialty and community under the model of National Diabetes Prevention and Control Center (DPCC).Methods:A total of 2 527 T2DM patients managed by DPCC Pingshan Center of Shenzhen from January 1, 2022 to December 31, 2024 were retrospectively included. After management, the rate of downturn, reexamination rate, blood pressure compliance rate, metabolic indicators (waist circumference, body mass index, fasting blood glucose, glycosylated hemoglobin, blood lipids) and screening rate of chronic complications of diabetes (atherosclerotic cardiovascular disease, microvascular disease, diabetic peripheral neuropathy) were analyzed. Those included 2022 ( n=564), 2023 ( n=1 477), and 2024 ( n=2 527). Results:The downturn rate in 2022, 2023 and 2024 increased year by year (22.8% vs 67.2% vs 89.9%, P<0.01), and the review rate (41.1% vs 62.2% vs 52.7%, P<0.01), complication screening rate (51.6% vs 85.3% vs 62.2%, P<0.01), blood pressure compliance rate (53.1% vs 78.0% vs 67.2%, P<0.01), body mass index compliance rate (13.2% vs 17.3% vs 28.6%, P<0.01), fasting blood glucose meeting rate (46.4% vs 60.2% vs 68.5%, P<0.01), glycated hemoglobin meeting rate (58.4% vs 63.2% vs 45.6%, P<0.01) were relatively improved. Waist circumference compliance rate (30.6% vs 27.7% vs 21.6%) and blood lipid compliance rate (33.6% vs 35.5% vs 31.9%) were not significantly improved, and the review rate, blood pressure compliance rate and complication screening rate in 2024 were lower than those in 2023 and higher than those in 2022. Conclusions:The combined management of type 2 diabetes under the DPCC model has significant effects on improving the down-conversion rate, rediagnosis rate, blood pressure compliance rate, metabolic index compliance rate and the screening rate of diabetes-related chronic complications in patients with diabetes. At the same time, it was also found that with the progress of hierarchical diagnosis and treatment, the review rate, complication screening rate, blood pressure, waist circumference, blood lipid and glycosylated hemoglobin reached the standard of patients decreased compared with the previous situation, which needs to be further analyzed and improved.

Objective:To analyze and compare the reporting data of adverse events following immunization (AEFI) of influenza vaccines in Fujian Province from 2019 to 2023.Methods:Using the National Immunization Program Information Management System, the AEFI reports and vaccination data of influenza vaccines in Fujian Province from 2019 to 2023 were collected, and the reporting rates and clinical characteristics of AEFI of 6 types of influenza vaccines were compared. The 6 types of vaccines in the analysis were as follows: trivalent inactivated influenza vaccines (IIV3) for 6-35 months old people, IIV3 for ≥3 years old people, trivalent live attenuated nasal spray vaccine (LAIV3) for 3-17 years old people, quadrivalent inactivated influenza vaccines (IIV4) for 6-35 months old people, IIV4 for ≥6 months old people, and IIV4 for ≥3 years old people.Results:From 2019 to 2023, a total of 87 687.21 million doses of influenza vaccine were vaccinated in Fujian Province, and 510 cases of AEFI were reported, with a reporting rates of 5.82 per 100 000 doses. Among the 510 cases, 443 (86.86%) were general reactions, 56 (10.98%) were abnormal reactions, 1 (0.20%) was psychogenic reactions, and 10 (1.96%) were coincidence. There were no reports of vaccination accidents and vaccine quality accidents. The reporting rates of AEFI were relatively higher in 2019 and 2020 (18.38 and 18.00 per 100 000 doses, respectively), and lower in 2021, 2022 and 2023 (8.91, 10.68 and 2.30 per 100 000 doses, respectively); the differences were statistically significant (all P<0.05). The differences of reporting rates of AEFI between IIV3 for 6-35 months old people and IIV4 for 6-35 months old people, the injectable vaccines and nasal spray vaccines were not statistically significant. However, the reporting rates of overall AEFI, general reactions and abnormal reactions of IIV3 for ≥3 years old people were all higher than those of IIV4 for ≥3 years old people (7.77 per 100 000 doses vs. 3.88 per 100 000 doses, 6.18 per 100 000 doses vs. 3.59 per 100 000 doses, 1.41 per 100 000 doses vs. 0.19 per 100 000 doses). The reporting rates of overall AEFI and general reaction of IIV3 for 6-35 months old people were both higher than those of IIV3 for ≥3 years old (16.47 per 100 000 doses vs. 7.77 per 100 000 doses, 13.05 per 100 000 doses vs. 6.18 per 100 000 doses), and the differences were statistially significant (all P<0.05). The reporting rates of general abnormal reactions of IIV4 for 6-35 months old and ≥ 6 months old people were both higher than those of IIV4 for ≥3 years old people (14.73 per 100 000 doses and 9.52 per 100 000 doses vs. 3.88 per 100 000 doses); the reporting rates of general reactions and abnormal reactions of IIV4 for ≥6 months old people were both higher than those of IIV4 for ≥3 years old people (12.94 per 100 000 doses vs. 3.59 per 100 000 doses, 1.34 per 100 000 doses vs. 0.19 per 100 000 doses), the differences were statistcially significant (all P<0.05). In terms of clinical features, the reporting rates of fever (37.6-38.5 ℃ and ≥ 38.5 ℃), local redness and swelling (diameter 2.6-5.0 cm), and local induration (diameter ≤2.5 cm and 2.6-5.0 cm) after vaccination of IIV3 for ≥3 years old people were higher than those of IIV4 for ≥ 3 years old people (1.41 per 100 000 doses vs. 0.64 per 100 000 doses, 3.00 per 100 000 doses vs. 1.16 per 100 000 doses); the reporting rates of allergic rash and angioedema of IIV3 for ≥ 3 years old people were higher than those of IIV4 for ≥3 years old people (0.53 per 100 000 doses vs. 0.12 per 100 000 doses, 0.35 per 100 000 doses vs. 0); the differences were statistically significant (all P<0.016 7). Conclusions:The reporting rates of AEFI for influenza vaccines in Fujian Province from 2019 to 2023 was showing a downward trend. The AEFI was mainly general reactions. The reporting rates of AEFI were different among different influenza vaccines, but the overall safety was good.

To investigate the mutations of NF1 and clinical phenotypes in patients with sporadic neurofibromatosis type 1 (NF1). This is aimed to evaluate the efficacy of high-throughput sequencing in diagnosing atypical cases, to expand the mutational spectrum of NF1, and to provide early diagnosis of NF1. Clinical data from 11 sporadic NF1 patients without family history treated at the Fifth Affiliated Hospital of Sun Yat-sen University (2019-2023) were collected. The mutations of NF1 gene were detected using whole-exome sequencing or chip-capture high-throughput sequencing, followed by bioinformatics analysis. Novel mutations were screened against normal population databases to exclude benign polymorphisms, and pathogenicity of the mutations was classified according to ACMG guidelines. The results showed that two novel frameshift mutations were identified: c.7904del (p.Asp2635Valfs*9) and c.5122_5123del (p.Phe1708Hisfs*9). The patient carrying c.7904del exhibited an undocumented phenotype of posterior medullary ischemic degeneration. Among the 11 NF1 patients, the types of mutations included frameshift (4/11), nonsense (3/11), intronic (2/11), splicing (1/11), and start codon variants (1/11). Common phenotypes were cafe-au-lait macules (8/11) and neurofibromas (6/11), yet significant phenotypic heterogeneity existed among patients sharing identical mutations. In conclusion, this study discovered two novel NF1 mutations and an unreported phenotype, expanding both the NF1 mutational spectra and highlights the need for attention to cerebrovascular status in patients carrying NF1 mutations. High-throughput sequencing significantly enhances molecular diagnostic efficacy for atypical NF1, providing a critical basis for clinical NF1 diagnosis.

Diminished ovarian reserve (DOR) is a common reproductive endocrine disease in women, which is an important factor leading to the decline of female fertility. The number and quality of oocytes in DOR women gradually decrease with age, which leads to the decline of fertility in women. Mitochondrial dysfunction is an important cause of oocyte quality decline. In recent years, studies have found that mitophagy, as an important mechanism of self-repair and metabolic balance in cells, is closely related to oocyte development. This article focuses on the regulation of mitochondrial DNA copy number and mutation, ATP content, mitochondrial reactive oxygen species content, mitochondrial membrane potential changes on mitophagy, and the effects on oocyte development and the regulation of drugs on oocyte mitophagy.

Diminished ovarian reserve (DOR) is a common reproductive endocrine disease in women, which is an important factor leading to the decline of female fertility. The number and quality of oocytes in DOR women gradually decrease with age, which leads to the decline of fertility in women. Mitochondrial dysfunction is an important cause of oocyte quality decline. In recent years, studies have found that mitophagy, as an important mechanism of self-repair and metabolic balance in cells, is closely related to oocyte development. This article focuses on the regulation of mitochondrial DNA copy number and mutation, ATP content, mitochondrial reactive oxygen species content, mitochondrial membrane potential changes on mitophagy, and the effects on oocyte development and the regulation of drugs on oocyte mitophagy.