1. Lycium barbarian seed oil activates Nrf2/ARE pathway to reduce oxidative damage in testis of subacute aging rats
Rui-Ying TIAN ; Wen-Xin MA ; Zi-Yu LIU ; Hui-Ming MA ; Sha-Sha XING ; Na HU ; Chang LIU ; Biao MA ; Jia-Yang LI ; Hu-Jun LIU ; Chang-Cai BAI ; Dong-Mei CHEN
Chinese Pharmacological Bulletin 2024;40(3):490-498
Aim To explore the effects of Lycium berry seed oil on Nrf2/ARE pathway and oxidative damage in testis of subacute aging rats. Methods Fifty out of 60 male SD rats, aged 8 weeks, were subcutaneously injected with 125 mg • kg"D-galactosidase in the neck for 8 weeks to establish a subacute senescent rat model. The presence of senescent cells was observed using P-galactosidase ((3-gal), while testicular morphology was examined using HE staining. Serum levels of testosterone (testosterone, T), follicle-stimulating hormone ( follicle stimulating hormone, FSH ) , luteinizing hormone ( luteinizing hormone, LH ) , superoxide dis-mutase ( superoxide dismutase, SOD ) , glutathione ( glutathione, GSH) and malondialdehyde ( malondial-dehyde, MDA) were measured through ELISA, and the expressions of factors related to aging, oxidative damage, and the Nrf2/ARE pathway were assessed via immunohistochemical analysis and Western blotting. Results After successfully identifying the model, the morphology of the testis was improved and the intervention of Lycium seed oil led to a down-regulation in the expression of [3-gal and -yH2AX. The serum levels of SOD, GSH, T, and FSH increased while MDA and LH decreased (P 0. 05) . Additionally, there was an up-regulated expression of Nrf2, GCLC, NQOl, and SOD2 proteins in testicular tissue ( P 0. 05 ) and nuclear expression of Nrf2 in sertoli cells. Conclusion Lycium barbarum seed oil may reduce oxidative damage in testes of subacute senescent rats by activating the Nrf2/ARE signaling pathway.
2.Construction and validation of a scoring model for pathogen characteristics and short-term prognosis risk prediction of candidemia
Jian-Xin MA ; Xiao-Qiang LIN ; Ming-Chi CAI ; Yu-Zhen XU ; Jun PENG ; Sheng-Qiang LIANG
Medical Journal of Chinese People's Liberation Army 2024;49(3):280-287
Objective To analyze the pathogenic characteristics and drug sensitivity of candidaemia,and construct a short-term mortality risk prediction scoring model.Methods The clinical data of patients with candidaemia admitted to the 909 Hospital of Joint Logistics Support Force from January 2011 to December 2020 were retrospectively analyzed,and the composition of pathogen composition,drug sensitivity test results and incidence of hospitalized patients were analyzed.324 cases of candidaemia were randomly divided into modeling group(190 cases)and validation group(134 cases),and the risk factors were screened by binary logistic regression.According to the odds ratio(OR)score,the 30 day mortality risk prediction scoring model was constructed,and the predictive performance of the model was verified both in modeling and validation groups.Results 356 strains of Candida including 126 strains of C.albicans(35.39%),79 strains of C.tropicalis(22.19%),74 strains of C.parapsilosis(20.79%),48 strains of C.glabrata(13.48%),14 strains of C.guilliermondii(3.93%),8 strains of C.krusei(2.25%),and 7 strains of other Candida(1.97%)were detected in 336 patients with candidemia.The incidence of candidaemia among hospitalized patients increased from 0.20 ‰ in 2011 to 0.48 ‰ in 2020.The resistance rate of candida to amphotericin B was significantly lower than that of fluconazole,voriconazole and itraconazole(P<0.05).Among the 324 cases included in the model,95 patients died in 30 days after diagnosis,and the mortality rate was 29.32%.The proportion of males,fever,and parenteral nutrition in modeling group was significantly higher than that in validation group(P<0.05),while the proportion of chronic lung disease and surgical history within one month were lower than those in validation group(P<0.05).Logistic regression analysis showed that chronic renal failure,mechanical ventilation,severe neutropenia,failure to receive anti-fungal treatment within 72 hours,and APACHE Ⅱ≥20 were risk factors for short-term death of candidaemia,the OR values were 3.179,1.970,2.979,2.080,and 2.399,and the risk scores were 6,4,6,4,and 5,respectively.The area under the curve(AUC)of the risk scoring model for modeling group was 0.792(95%CI 0.721-0.862),and the result of Hosmer-Lemeshow(H-L)test was P=0.305;The AUC of validation group was 0.796(95%CI 0.735-0.898),and the H-L test result was P=0.329.A risk score≤8 indicated a low risk group for short-term mortality,a score of 9-15 indicated a medium risk group,and a score≥16 indicated a high risk group.Conclusions The incidence of candidemia in hospitalized patients is increasing and the mortality is high.The risk prediction score model can effectively predict the short-term prognosis and facilitate the early identification of the prognosis.
3.Effects of propofol on high glucose induced myocardial cell injury through autophagy mediated by Fox O1/TXNIP signaling pathway
Yu-Ming YANG ; Yue PENG ; Hong HAN ; Cong-Cai REN ; Li-Xia ZHAO
The Chinese Journal of Clinical Pharmacology 2024;40(16):2344-2348
Objective To investigate the impact of propofol(Pro)on high glucose(HG)-induced myocardial cell injury through autophagy mediated by forkhead box O1(Fox O1)/thioredoxininteracting protein(TXNIP)signaling pathway.Methods H9c2 cells were divided into blank group(5.5 mmol·L-1 glucose),high glucose(HG)group(30 mmol·L-1 glucose),HG+Pro group(30 mmol·L-1 glucose+25 μmol·L-1 Pro),HG+Pro+negative control(OE NC)group(first transfected with OE NC,then treated with 30 mmol·L-1 glucose+25 μmol·L-1 Pro),HG+Pro+Fox O1 overexpression plasmid(Fox O1-OE)group(first transfected with Fox O1-OE,then treated with 30 mmol·L-1 glucose+25 μmol·L-1 Pro).Cell counting kit-8(CCK-8)method,TdT-mediated dUTP nick end labeling(TUNEL)method,enzyme-linked immunosorbent assay(ELISA),transmission electron microscope and Western blot were applied to detect the cell survival rate,apoptosis rate,superoxide dismutase(SOD)and malondialdehyde(MDA)levels in the supernatant,and the changes in Autophagosome,Fox O1/TXNIP and autophagy protein expression levels.Results The cell viabilities of blank group,HG group,HG+Pro group,HG+Pro+OE NC group and HG+Pro+Fox O1-OE group were(100.00±0.00)%,(48.15±4.82)%,(79.66±7.98)%,(78.89±7.91)%and(49.22±4.93)%,respectively;the apoptosis rates were(12.04±1.21)%,(42.34±4.25)%,(26.22±2.63)%,(27.02±2.71)%,(38.29±3.86)%,respectively;SOD levels were(62.24±6.25),(28.21±2.85),(55.37±5.58),(55.09±5.53),(30.66±3.08)U·mg-1 pro,respectively;MDA levels were(0.38±0.04),(1.43±0.15),(0.67±0.07),(0.72±0.08)and(1.34±0.14)U·mg-1 pro,respectively;the number of autophagosomes was 6.24±0.63,13.05±1.32,8.31±0.84,8.55±0.86 and 12.22±1.23,respectively;phosphorylated Fox O1(p-Fox O1)/Fox O1 ratios were expressed as 0.34±0.04,0.86±0.09,0.48±0.05,0.43±0.05 and 0.74±0.08;TXNIP were expressed as 0.24±0.03,0.62±0.08,0.38±0.04,0.36±0.04 and 0.58±0.06;Bcelin-1 were expressed as 1.12±0.12,0.53±0.06,1.02±0.11,1.05±0.11 and 0.62±0.07;p62 were expressed as 0.56±0.06,1.56±0.16,0.82±0.09,0.86±0.09 and 1.44±0.15;there were statistical differences in the above indexes between HG group and blank group,HG+Pro group and HG group,HG+Pro+Fox O1-OE group and HG+Pro+OE NC group(all P<0.05).Conclusion Pro inhibits autophagy by inhibiting Fox O1/TXNIP signaling pathway,and improves HG-induced myocardial cell injury.
4.Thoughts and suggestions on digital services to enhance the level of vaccination management
Lin LUAN ; Na LIU ; Benfeng ZHENG ; Zhuoyu ZHANG ; Yifan SONG ; Li LI ; Ming GAN ; Lei CAO ; Zhuoying HUANG ; Jiakai YE ; Zhaonan ZHANG ; Xiaoxue LIU ; Junlei CHEN ; Changshuang WANG ; Bi CAI ; Wenzhou YU
Chinese Journal of Preventive Medicine 2024;58(2):159-165
With the development of information technology and the increasing demand for vaccination services among the people, it is a definite trend to enhance the quality of vaccination services through digitization. This article starts with a clear concept of digital services for vaccination, introduces the current development status in China and abroad, analyzes the advantages and disadvantages of existing models in leading regions, takes a glean from the summation, and proposes targeted solutions. This study suggests establishing a departmental coordination mechanism for data interconnection and sharing, formulating data standards and functional specifications, enhancing the functionalities of the immunization planning information system, strengthening data collection and analytical usage, and intensifying appointment management and science and health education to provide expert guidance for the construction of digital vaccination services across the country in the future.
5.Two cases of neonatal Legionella pneumonia
Yin-Zhi LIU ; Rong ZHANG ; Jing-Jing XIE ; Qiong GUO ; Cai-Xia ZHAN ; Meng-Yu CHEN ; Jun-Shuai LI ; Xiao-Ming PENG
Chinese Journal of Contemporary Pediatrics 2024;26(9):986-988
Patient 1,a 12-day-old female infant,presented with fever,cough,dyspnea,and elevated infection markers,requiring respiratory support.Metagenomic next-generation sequencing(mNGS)of blood and bronchoalveolar lavage fluid revealed Legionella pneumophila(LP),leading to diagnoses of LP pneumonia and LP sepsis.The patient was treated with erythromycin for 15 days and azithromycin for 5 days,resulting in recovery and discharge.Patient 2,an 11-day-old female infant,presented with dyspnea,fever,elevated infection markers,and multiple organ dysfunction,requiring mechanical ventilation.mNGS of blood and cerebrospinal fluid indicated LP,leading to diagnoses of LP pneumonia,LP sepsis,and LP intracranial infection.The patient was treated with erythromycin for 19 days and was discharged after recovery.Neonatal LP pneumonia lacks specific clinical symptoms,and azithromycin is the preferred antimicrobial agent.The use of mNGS can provide early and definitive diagnosis for severe neonatal pneumonia of unknown origin.
6.Early gait analysis after total knee arthroplasty based on artificial intelligence dynamic image recognition
Ming ZHANG ; Ya-Nan SUI ; Cheng WANG ; Hao-Chong ZHANG ; Zhi-Wei CAI ; Quan-Lei ZHANG ; Yu ZHANG ; Tian-Tian XIA ; Xiao-Ran ZU ; Yi-Jian HUANG ; Cong-Shu HUANG ; Xiang LI
China Journal of Orthopaedics and Traumatology 2024;37(9):855-861
Objective To explore early postoperative gait characteristics and clinical outcomes after total knee arthroplasty(TKA).Methods From February 2023 to July 2023,26 patients with unilateral knee osteoarthritis(KOA)were treated with TKA,including 4 males and 22 females,aged from 57 to 85 years old with an average of(67.58±6.49)years old;body mass in-dex(BMI)ranged from 18.83 to 38.28 kg·m-2 with an average of(26.43±4.15)kg·m-2;14 patients on the left side,12 pa-tients on the right side;according to Kellgren-Lawrence(K-L)classification,6 patients with grade Ⅲ and 20 patients with grade Ⅳ;the courses of disease ranged from 1 to 14 years with an average of(5.54±3.29)years.Images and videos of standing up and walking,walking side shot,squatting and supine kneeling were taken with smart phones before operation and 6 weeks after operation.The human posture estimation framework OpenPose were used to analyze stride frequency,step length,step length,step speed,active knee knee bending angle,stride length,double support phase time,as well as maximum hip flexion angle and maximum knee bending angle on squatting position.Western Ontario and McMaster Universities(WOMAC)arthritis index and Knee Society Score(KSS)were used to evaluate clinical efficacy of knee joint.Results All patients were followed up for 5 to 7 weeks with an average of(6.00±0.57)weeks.The total score of WOMAC decreased from(64.85±11.54)before op-eration to(45.81±7.91)at 6 weeks after operation(P<0.001).The total KSS was increased from(101.19±9.58)before opera-tion to(125.50±10.32)at 6 weeks after operation(P<0.001).The gait speed,stride frequency and stride length of the affected side before operation were(0.32±0.10)m·s-1,(96.35±24.18)steps·min-1,(0.72±0.14)m,respectively;and increased to(0.48±0.11)m·s 1,(104.20±22.53)steps·min-1,(0.79±0.10)m at 6 weeks after operation(P<0.05).The lower limb support time and active knee bending angle decreased from(0.31±0.38)sand(125.21±11.64)° before operation to(0.11±0.04)s and(120.01±13.35)° at 6 weeks after operation(P<0.05).Eleven patients could able to complete squat before operation,13 patients could able to complete at 6 weeks after operation,and 9 patients could able to complete both before operation and 6 weeks after operation.In 9 patients,the maximum bending angle of crouching position was increased from 76.29° to 124.11° before operation to 91.35° to 134.12° at 6 weeks after operation,and the maximum bending angle of hip was increased from 103.70° to 147.25° before operation to 118.61° to 149.48° at 6 weeks after operation.Conclusion Gait analysis technology based on artificial intelligence image recognition is a safe and effective method to quantitatively identify the changes of pa-tients'gait.Knee pain of KOA was relieved and the function was improved,the supporting ability of the affected limb was im-proved after TKA,and the patient's stride frequency,stride length and stride speed were improved,and the overall movement rhythm of both lower limbs are more coordinated.
7.Thoughts and suggestions on digital services to enhance the level of vaccination management
Lin LUAN ; Na LIU ; Benfeng ZHENG ; Zhuoyu ZHANG ; Yifan SONG ; Li LI ; Ming GAN ; Lei CAO ; Zhuoying HUANG ; Jiakai YE ; Zhaonan ZHANG ; Xiaoxue LIU ; Junlei CHEN ; Changshuang WANG ; Bi CAI ; Wenzhou YU
Chinese Journal of Preventive Medicine 2024;58(2):159-165
With the development of information technology and the increasing demand for vaccination services among the people, it is a definite trend to enhance the quality of vaccination services through digitization. This article starts with a clear concept of digital services for vaccination, introduces the current development status in China and abroad, analyzes the advantages and disadvantages of existing models in leading regions, takes a glean from the summation, and proposes targeted solutions. This study suggests establishing a departmental coordination mechanism for data interconnection and sharing, formulating data standards and functional specifications, enhancing the functionalities of the immunization planning information system, strengthening data collection and analytical usage, and intensifying appointment management and science and health education to provide expert guidance for the construction of digital vaccination services across the country in the future.
8.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
9.Medication guidelines for glucagon-like peptide-1 receptor agonist (2023 edition)
Haijiao SI ; Limei ZHAO ; Shuang CAI ; Keke WANG ; Jiaxin WANG ; Fei GAO ; Huixia LIU ; Ming SUN ; Yu WANG ; Tong LIU
China Pharmacy 2023;34(11):1281-1292
The prevalence of diabetes in China is increasing year by year, and has become a health issue of close concern to the whole society. Glucagon-like peptide-1 (GLP-1) receptor agonist (GLP-1RA), as a new class of glucose-lowering drugs, is now widely used in the treatment of type 2 diabetes mellitus (T2DM) because of its significant glucose-lowering efficacy and low risk of hypoglycemia. As the level of evidence for its effects on improving cardiovascular system and renal protection and reducing body mass continues to improve, its status in the treatment guidelines for T2DM is gradually increasing. Currently, nine GLP-1RA drugs have been approved for the clinical treatment of T2DM in China. Although all of these drugs exert hypoglycemic effects based on the activation of GLP-1 receptors in the body, the differences in their own structures and natural GLP-1 amino acid homology lead to large differences in pharmacokinetic parameters and clinical efficacy among different analogs. In order to enable clinicians and pharmacists to have a full understanding of the characteristics and clinical evidence of these analogs and to better perform their therapeutic effects, Liaoning Provincial Pharmaceutical Society organized clinical medicine and pharmacy experts to develop a medication guide for nine GLP-1RA drugs to provide a reference for clinical medication needs and promote rational and standardized use by compiling and summarizing the pharmacological characteristics, clinical applications, adverse reactions, interactions, the medications in special populations and medication management.
10.Association between blood pressure during 12-28 weeks gestation and pre-eclampsia: predictive value of blood pressure trajectories constructed by latent class growth modeling.
Wei CAI ; Xin ZHOU ; Ning YANG ; Xiu Long NIU ; Guo Hong YANG ; Xin ZHANG ; Wei WANG ; Shao Bo CHEN ; Yu Ming LI
Chinese Journal of Cardiology 2023;51(2):164-171
Objective: To explore the associations between blood pressure trajectories during pregnancy and risk of future pre-eclampsia in a large cohort enrolling pregnant women at gestational age of ~12 weeks from community hospitals in Tianjin. Latent class growth modeling (LCGM) was used to model the blood pressure trajectories. Methods: This was a large prospective cohort study. The study enrolled pregnant women of ~12 weeks of gestation in 19 community hospitals in Tianjin from November 1, 2016 to May 30, 2018. We obtained related information during 5 antepartum examinations before gestational week 28, i.e., week 12, week 16, week 20, week 24 and week 28. LCGM was used to model longitudinal systolic (SBP) and diastolic blood pressure (DBP) trajectories. For the association study, the predictors were set as SBP and DBP trajectory membership (built separately), the outcome was defined as the occurrence of preeclampsia after 28 weeks of gestation. Results: A total of 5 809 cases with known pregnant outcomes were documented. After excluding 249 cases per exclusion criteria, 5 560 cases with singleton pregnancy were included for final analysis. There were 128 cases preeclampsia and 106 cases gestational hypertension in this cohort. Univariate logistic regression and multivariate logistic regression showed the higher baseline SBP level and DBP level were related with increased risk of preeclampsia. Four distinctive SBP trajectories and DBP trajectories from 12 weeks to 28 weeks of gestation were identified by LCGM. After controlling for potential confounders (baseline BMI, being primipara or not, white blood cell counts, hemoglobin level, platelet counts and alanine aminotransferase level), the OR for SBP latent classification trajectory_ 4 was 4.023 (95%CI: 2.368 to 6.835, P<0.001), and the OR for SBP latent classification trajectory_3 was 1.854 (95%CI: 1.223 to 2.811, P=0.004). Logistic regression showed that: using the DBP latent classification trajectory_1 as the reference group, the OR for DBP latent classification trajectory_4 was 4.100 (95%CI: 2.571 to 6.538, P<0.001), and 2.632 (95%CI: 1.570 to 4.414, P<0.001) for DBP latent classification trajectory_2. After controlling for potential confounders (baseline BMI, being primipara or not, white blood cell counts, hemoglobin level, platelet counts and alanine aminotransferase level), the OR for DBP_traj_4 was 2.527 (95%CI: 1.534 to 4.162, P<0.001), and the OR for DBP_traj_3 was 1.297 (95%CI: 0.790 to 2.128, P=0.303), and 2.238 (95%CI: 1.328 to 3.772, P=0.002) for DBP_traj_2. Therefore, BP trajectories from 12 weeks to 28 weeks identified by LCGM served as novel risk factors that independently associated with the occurrence of preeclampsia. Receiver operating characteristic (ROC) curve analysis showed incremental diagnostic performance by combing baseline blood pressure levels with blood pressure trajectories. Conclusion: By applying LCGM, we for the first time identified distinctive BP trajectories from gestational week 12 to 28, which can independently predict the development of preeclampsia after 28 weeks of gestation.
Female
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Humans
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Pregnancy
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Infant
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Blood Pressure
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Pre-Eclampsia/diagnosis*
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Prospective Studies
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Gestational Age
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Alanine Transaminase
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Hemoglobins

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