Objective:To understand the burden of chronic kidney disease (CKD) and its risk factors in Fujian Province during 1990-2019.Methods:Based on the Global Burden of Disease Study 2019, the incidence rate, mortality rate and disability-adjusted life years (DALYs) of CKD in Fujian from 1990 to 2019 were calculated. An age-period-cohort model was used to estimate the effects of age, period, and cohort on age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) of CKD. Comparative risk assessment theory was used to calculate the potential attributable DALYs due to risk factors.Results:In 2019, the ASIR of CKD in Fujian exceeded the national average. The ASIR of CKD showed an increasing trend from 1990 to 2019, but the ASMR and ASDR of CKD exhibited decreasing trends during the same period. In 2019, the ASIR of CKD was higher in women than in men, while the ASMR and ASDR were higher in men than in women. Age-period-cohort analysis indicated that ASIR, ASMR, and ASDR of CKD increased with age. The period effect for ASIR decreased first before increase, while the period effect for ASMR and ASDR displayed fluctuating trends. The cohort effect showed an upward trajectory for ASIR, but a stable status before downward trajectories for ASMR and ASDR. Compared with 1990, except the increase in the ASDR of CKD attributed to high BMI and high temperatures, the ASDR of CKD attributed to other risk factors all showed decreases in 2019. However, the ASDR attributed to high sodium intake remained higher compared with the global average.Conclusion:The burden of CKD remains heavy in Fujian, and it is necessary to reduce the attributable risk factors, such as high sodium intake and high BMI, to address this problem.

Objective:To understand the burden of chronic kidney disease (CKD) and its risk factors in Fujian Province during 1990-2019.Methods:Based on the Global Burden of Disease Study 2019, the incidence rate, mortality rate and disability-adjusted life years (DALYs) of CKD in Fujian from 1990 to 2019 were calculated. An age-period-cohort model was used to estimate the effects of age, period, and cohort on age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) of CKD. Comparative risk assessment theory was used to calculate the potential attributable DALYs due to risk factors.Results:In 2019, the ASIR of CKD in Fujian exceeded the national average. The ASIR of CKD showed an increasing trend from 1990 to 2019, but the ASMR and ASDR of CKD exhibited decreasing trends during the same period. In 2019, the ASIR of CKD was higher in women than in men, while the ASMR and ASDR were higher in men than in women. Age-period-cohort analysis indicated that ASIR, ASMR, and ASDR of CKD increased with age. The period effect for ASIR decreased first before increase, while the period effect for ASMR and ASDR displayed fluctuating trends. The cohort effect showed an upward trajectory for ASIR, but a stable status before downward trajectories for ASMR and ASDR. Compared with 1990, except the increase in the ASDR of CKD attributed to high BMI and high temperatures, the ASDR of CKD attributed to other risk factors all showed decreases in 2019. However, the ASDR attributed to high sodium intake remained higher compared with the global average.Conclusion:The burden of CKD remains heavy in Fujian, and it is necessary to reduce the attributable risk factors, such as high sodium intake and high BMI, to address this problem.

Objective:To investigate the impact of frailty on post-stroke depression (PSD) in patients with acute ischemic stroke and to identify risk factors for PSD in order to construct a risk prediction model.Methods:A convenience sampling method was used to recruit a total of 450 patients with acute ischemic stroke who were treated in the Department of Neurology at the Affiliated Hospital of Jining Medical University from March 2023 to April 2024. Data were collected using the Edmonton Frail Scale, Hamilton Depression Rating Scale, Barthel Index (Activities of Daily Living, ADL), Pittsburgh Sleep Quality Index, and Morse Fall Scale. Binary logistic regression analysis was performed to explore the impact of frailty on PSD and to identify other risk factors. Based on the results, a predictive model was developed.Results:A total of 450 questionnaires were distributed, with 412 valid responses returned, yielding a valid response rate of 91.56%. The incidence of PSD among the 412 patients was 45.63% (188/412). Binary Logistic regression analysis showed that frailty, sleep disturbance, C-reactive protein (CRP), and ADL score were the influencing factors for PSD in patients with acute ischemic stroke ( P<0.05). These factors were incorporated into the predictive model, and a risk nomogram was constructed. The area under the curve of the model was 0.764 [95% CI (0.716, 0.811) ], indicating good discriminative ability. Internal validation of the nomogram using the Hosmer-Lemeshow goodness-of-fit test showed χ 2=5.883, P=0.66 ( P>0.05), suggesting good calibration of the model. Conclusions:Frailty increases the risk of post-stroke depression in patients with acute ischemic stroke. Sleep disturbance, CRP level, and ADL score are important screening indicators for PSD risk. Targeted assessment and early intervention are recommended to reduce the likelihood of PSD.

Objective:To investigate the impact of frailty on post-stroke depression (PSD) in patients with acute ischemic stroke and to identify risk factors for PSD in order to construct a risk prediction model.Methods:A convenience sampling method was used to recruit a total of 450 patients with acute ischemic stroke who were treated in the Department of Neurology at the Affiliated Hospital of Jining Medical University from March 2023 to April 2024. Data were collected using the Edmonton Frail Scale, Hamilton Depression Rating Scale, Barthel Index (Activities of Daily Living, ADL), Pittsburgh Sleep Quality Index, and Morse Fall Scale. Binary logistic regression analysis was performed to explore the impact of frailty on PSD and to identify other risk factors. Based on the results, a predictive model was developed.Results:A total of 450 questionnaires were distributed, with 412 valid responses returned, yielding a valid response rate of 91.56%. The incidence of PSD among the 412 patients was 45.63% (188/412). Binary Logistic regression analysis showed that frailty, sleep disturbance, C-reactive protein (CRP), and ADL score were the influencing factors for PSD in patients with acute ischemic stroke ( P<0.05). These factors were incorporated into the predictive model, and a risk nomogram was constructed. The area under the curve of the model was 0.764 [95% CI (0.716, 0.811) ], indicating good discriminative ability. Internal validation of the nomogram using the Hosmer-Lemeshow goodness-of-fit test showed χ 2=5.883, P=0.66 ( P>0.05), suggesting good calibration of the model. Conclusions:Frailty increases the risk of post-stroke depression in patients with acute ischemic stroke. Sleep disturbance, CRP level, and ADL score are important screening indicators for PSD risk. Targeted assessment and early intervention are recommended to reduce the likelihood of PSD.

Objective:Based on targeted amplicon technology combined with high-throughput sequencing technology and bioinformatic analysis technology, to understand the characteristics of the whole genome of the monkeypox virus and its variation, and to construct a method for the analysis of monkeypox virus variation and molecular traceability of the case in Qinghai province, and to provide technical support for the prevention and control of monkeypox epidemic in the future.Methods:The extracted viral DNA was used as a template, and the genome of monkeypox virus was specifically amplified by Ion AmpliSeq Monkeypox Panel with the number of amplicons 1 609 and the length of 125 bp-275 bp, and the sequencing library was constructed by Ion AmpliSeq Library Kit Plus, and sequenced by Ion Torrent GeneStudio S5. The sequencing library was constructed by Ion AmpliSeq Library Kit Plus, and the monkeypox virus genome was sequenced using Ion Torrent GeneStudio S5 sequencer. Monkeypox virus was analyzed for genomic profiling and mutation site analysis using the online analysis tool Nextclade. The genomic sequence of the case virus in this study was compared with some sequences in the GIASID monkeypox virus database and a phylogenetic tree was constructed to analyze the potential origin of the case virus.Results:The Ct values of monkeypox virus genes in the rash swab and oropharyngeal swab samples were 32.13 and 36.91, respectively. The rash swab sample had a reads number match of 99.99% and a genome coverage of 99.45% after whole-genome sequencing of monkeypox virus, and the sequences belonged to the IIb (West African branch) B. 1.3 type. The analysis of nucleotide mutation sites and phylogenetic tree showed that the sequences were in the same branch with four monkeypox virus genome sequences recently submitted by China and Japan in the GISAID monkeypox virus database, and had the closest evolutionary relationship with the sequence EPI_ISL_18059184 (sampled on 2023-07-03) submitted by Yunnan, China, which shared 82 single-nucleotide mutation sites, among which the sequence from Yunnan was only present in all of the shared 82 single-nucleotide mutation sites. The sequence in this study has 2 additional nucleotide mutation sites on top of the shared 82 single nucleotide mutation sites. The sequence submitted by Japan, EPI_ISL_17692269 (sampled on 2023-04-28), is more closely related in evolution, sharing 78 single nucleotide mutation sites, with 7 single nucleotide mutation site differences, and the Japanese sequence shares 78 single nucleotide mutation sites. The Japanese sequence shared 78 mutation sites with one additional nucleotide mutation site (G57786A), while the present sequence had six additional nucleotide mutation sites (G13563A, C21062T, G101241A, C142797T, G152866A, T169721A).Conclusions:The whole genome sequence of monkeypox virus of 197 084 bp was successfully obtained from a sample with low viral load, and the average. We constructed a method for sequencing and analyzing the whole genome of monkeypox virus.

Objective:To understand the trend of Helicobacter pylori （Hp） resistance to clarithromycin and levofloxacin and to provide guidance for Hp eradication therapy. Methods:From January 2014 to December 2018， a total of 66 515 patients with gastrointestinal symptoms were enrolled in the First People's Hospital of Wenling. The patients were divided into the following groups： childhood （0 to 6 years old）； juvenile （7 to 17 years old）； youth （18 to 40 years old），middle age （41 to 65 years old），and old age （≥66 years old）. All patients received gastroscopy， gastric mucosal biopsy， Hp culture and drug sensitivity test of clarithromycin and levofloxacin. Results:The Hp positive rate showed a significant downward trend in 2016， 2017 and 2018 （χ²=14.317， 47.079， 88.054， all P<0.05）. The average resistance rate of Hp to clarithromycin from 2014 to 2018 was 22.72% （4 732/20 831） showing an increasing trend， but the increase was slower after 2017. The average resistance rate to levofloxacin was 30.55% （6 364/20 831）， and the overall trend showed a sharp rise from 2015 to 2017 （χ²=38.383， 49.569， both P<0.05）， and a significant decline was detected after 2017 （χ²=18.841， P<0.05）. The resistance rate of Hp to levofloxacin in patients increased with age. The clarithromycin resistance rate first decreased and then increased with age， and the resistance rate in old age （32.52%， 763/2 346） was higher than that in youth （22.09%， 1 086/4 916） and middle age patients （21.21%， 2 854/13 458）， and the differences were significant （χ²=991.071， 144.968， both P<0.05）. The resistance rate of Hp rose from 12.73% （14/110） in juvenile to 43.31% （1 016/2 346） in old age （χ²=228.867， P<0.05）. Conclusion:In recent years， the positive rate of Hp infection in Wenling area has a decreasing trend. Although the resistance rate of Hp to clarithromycin and levofloxacin has been rising slowly or decreasing， it is still at a high level. In the selection of Hp eradication program， the differences between patients in different age groups should be considered with particular attention on the minors.