1.Association, differences, and applications of three commonly used statistical indicators: risk ratio, hazard ratio, and odds ratio
Dashan ZHENG ; Junguo ZHANG ; Wanqi WEN ; Hualiang LIN
Chinese Journal of Preventive Medicine 2024;58(5):706-710
Relative Risk ( RR), Hazard Ratio ( HR), and Odds Ratio ( OR) are commonly used statistical measures in the field of public health to assess the magnitude of the effect of exposure factors on outcomes. These indicators have different calculation principles and implications in public health. However, a few researchers misused or misinterpreted RR, HR, and OR values when interpreting study results. Therefore, this article explores the relationships and differences among these measures, as well as the correct selection and application of RR, HR, and OR in both cohort study and case-control study.
2.Association, differences, and applications of three commonly used statistical indicators: risk ratio, hazard ratio, and odds ratio
Dashan ZHENG ; Junguo ZHANG ; Wanqi WEN ; Hualiang LIN
Chinese Journal of Preventive Medicine 2024;58(5):706-710
Relative Risk ( RR), Hazard Ratio ( HR), and Odds Ratio ( OR) are commonly used statistical measures in the field of public health to assess the magnitude of the effect of exposure factors on outcomes. These indicators have different calculation principles and implications in public health. However, a few researchers misused or misinterpreted RR, HR, and OR values when interpreting study results. Therefore, this article explores the relationships and differences among these measures, as well as the correct selection and application of RR, HR, and OR in both cohort study and case-control study.
3.Predictive value of Clinical Frailty Scale in long term prognosis of patients with acute myocardial infarction after in-hospital cardiac rehabilitation
Yuting LIU ; Wanqi YU ; Wen HONG ; Sang KANG ; Xinni LI ; Quyang DANZENG ; Huoyuan XIAO ; Jingwei PAN
Journal of Shanghai Jiaotong University(Medical Science) 2024;44(5):599-605
Objective·To investigate the predictive value of the Clinical Frailty Scale(CFS)in the long term outcomes in acute myocardial infarction(AMI)patients who completed in-hospital cardiac rehabilitation(CR).Methods·A total of 501 AMI patients treated in the Cardiology Center of Shanghai Sixth People's Hospital,Shanghai Jiao Tong University of Medicine from May 2020 to May 2022 were prospectively enrolled,with their baseline clinical data collected.The patients completed graded in-hospital CR and were assessed by CFS based on their completion of CR before discharge.Patients were then categorized into three groups(norm group,vulnerable group and frail group)according to their CFS level.The difference in 1-year major cardiovascular event(all-cause death and re-hospitalization for heart failure)rates among the three groups was investigated.Logistic regression analysis was performed to explore the effective risk factors relevant to the outcomes,and receiver operator characteristic(ROC)curves were generated to analyze the prognostic value.Finally,an optimal prediction model was developed.Results·The CFS level in AMI patients who completed CR was positively correlated with age and peak pro-B-type natriuretic peptide(peak proBNP),and inversely correlated with gender difference(P<0.05).Accompanied with the elevated CFS level,the incidence of both outcomes increased,and there were significant differences in all-cause death(2.6%,5.6%and 15.2%,P=0.002),and while no significant differences in re-hospitalization for heart failure among the three groups(19.6%,22.2%and 24.2%).All-cause death of the frail group was significantly higher than that of the norm group(P=0.004),while there was no significant difference between the vulnerable group and the norm group.CFS could sensitively predict the 1-year all-cause death in AMI patients(β=1.89,OR=6.61,P=0.001),and the risk model combined with CFS had the best predictive effect(AUC=0.845,P=0.000).Conclusion·Assessment by CFS in AMI patients who completed in-hospital CR contributes to identifying AMI patients with high risk of all-cause death in 1 year.
4.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
5.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
6.The effect of water improvement on iodine nutritional status and thyroid function of pregnant women in areas with high water iodine level
Kexin ZHANG ; Yuangui CHENG ; Wen WU ; Dingyan ZHANG ; Wen JIANG ; Xiaoming WANG ; Shuyao DONG ; Wanqi ZHANG
Chinese Journal of Endemiology 2023;42(6):447-452
Objective:To investigate the impact of switching to low iodine drinking water in areas with high water iodine levels on the iodine nutritional status and thyroid function of pregnant women.Methods:A cross-sectional survey was conducted in Gaoqing County, Zibo City, Shandong Province. Pregnant women who underwent prenatal examinations at the Obstetrics Clinic of Gaoqing County People's Hospital from 2019 to 2021 were selected as the survey subjects. With reference to the Criteria for the Classification of Water Source High Iodine Areas and High Iodine Disease Areas (GB/T 19380-2016), pregnant women with drinking water iodine > 100 μg/L were considered as the high water iodine group and ≤100 μg/L was the non-high water iodine group. Basic information, one random urine sample, fasting blood sample, 24-hour urine sample and drinking water sample of pregnant women were collected, and thyroid ultrasound examination was performed on pregnant women. Urinary iodine (UI) concentration (UIC) and drinking water iodine concentration (WIC) were measured by inductively coupled plasma mass spectrometry, and 24-hour urinary iodine excretion (UIE) and daily iodine intake (TII) of pregnant women were calculated. Serum thyroid hormone (TSH), free triiodothyronine (FT 3), free thyroxine (FT 4), thyroid peroxidase antibody (TPOAb) and anti-thyroid autoantibodies (TgAb) were determined by automatic chemiluminescence immunoassay. Creatinine (CR) was determined using deproteinized endpoint microplate method and UI/CR was calculate. Results:A total of 797 pregnant women were included, and the UIC was 150.2 (88.1, 281.3) μg/L, the iodine nutrition was generally at an appropriate level. Among them, 584 pregnant women in the non-high water iodine group had a UIC of 120.9 (74.9, 191.5) μg/L, which was at the iodine deficiency level; 213 pregnant women in the high water iodine group had a UIC of 321.1 (201.9, 569.1) μg/L, which was at the iodine super-appropriate level; the differences in WIC, UIC, UIE, TII, and UI/CR between the two groups were statistically significant ( Z = 21.63, 13.34, 15.14, 15.14, 11.81, P < 0.001). After stratification by different gestational periods, the differences were statistically significant when comparing WIC and TSH in pregnant women in the non-high water iodine group and UI/CR in pregnant women in the high water iodine group by gestational period ( H = 59.13, 7.30, 13.60, P < 0.05). A total of 744 pregnant women were tested for thyroid function, and 128 cases of TSH > 2.5 mU/L, 15 cases of hypothyroxemia, and 19 cases of subclinical hypothyroidism were detected, with detection rates of 17.2%, 2.0%, and 2.6%, respectively. The differences were statistically significant when comparing TSH and TPOAb levels and the proportion of pregnant women with TSH > 2.5 mU/L in the high water iodine and non-high water iodine groups ( Z = 3.04, - 2.17, χ 2 = 6.94, P = 0.002, 0.030, 0.008). The thyroid glands of pregnant women were examined in 720 cases, and 30 cases of goiter and 150 cases of thyroid nodules were detected, with detection rates of 4.2% and 20.8%, respectively. The median thyroid volume was 8.92 ml in the high water iodine group and 8.60 ml in the non-high water iodine group, which were both within the normal range, with no statistically significant difference between the groups ( Z = - 0.75, P = 0.455). Conclusions:After changing to low iodine water, the overall iodine nutrition of pregnant women in Gaoqing County is now at an appropriate level, and the reduction of water iodine effectively reduces the risk of TSH abnormalities in local pregnant women. However, pregnant women in the non-high water iodine group are iodine deficiency, and pregnant women in the high water iodine group are at iodine super-appropriate, and the iodine nutrition level of pregnant women in this area is highly variable, which causes the "illusion" that the overall iodine level of local pregnant women is suitable.

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