PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

Objective:To understand the prevalence, blood pressure control, and influencing factors of hypertension in residents aged 35-75 years in Jiangsu Province, and provide data support and basis for hypertension prevention and treatment.Methods:A stratified cluster sampling method was adopted to conduct community population surveys in 22 districts and counties in 12 prefectures in Jiangsu from 2021 to 2022. A total of 123 531 permanent residents aged 35-75 years were included in the study. The questionnaire survey collected the information about the demographic characteristics, disease history, lifestyle, and control of hypertension of study subjects. Statistical software SPSS 23.0 was used for χ2 test and multivariate logistic regression analysis, and Joinpoint 4.9.1.0 software was used to evaluate the trend of age change. Results:The standardized prevalence of hypertension in study subjects was 46.60%, the prevalence was higher in men than in women, and in rural residents than in urban residents, and the standardized blood pressure control rate was 11.24%, and it was lower in men than in women and in rural residents than in urban residents. The hypertension prevalence and control rates showed increasing trends with age (both P<0.001). The multivariate analysis results showed that being man, older age, being rural resident, higher frequency of alcohol consumption, marital status of being separated and widowed, overweight and obese, abdominal obesity and stroke, diabetes mellitus and dyslipidaemic diseases histories, and family history of hypertension were risk factors for hypertension, and being man, being rural resident, living north area, higher frequency of alcohol consumption, and obesity were risk factors for blood pressure control. Conclusions:The prevalence of hypertension in residents aged 35-75 years in Jiangsu was high, and the rate of blood pressure control was low. It is suggested to take integrated intervention measures, especially in in rural residents and people with low levels of education to reduce the disease burden of the patients.

Objective:To analyze the comorbidity status and influencing factors of hypertension, diabetes, and dyslipidemia among middle-aged and elderly in Jiangsu Province and to provide support for "co-management of the three diseases".Methods:Data originated from the Comprehensive Prevention and Control Project of Cardiovascular and Cerebrovascular Diseases baseline survey in Jiangsu Province. Questionnaire interviews, physical examinations, and laboratory tests were conducted on 136 433 permanent residents aged ≥35 years who participated in the survey from 2021 to 2023. A multinomial logit model was established using SPSS 23.0 to analyze the influencing factors of the three comorbidities.Results:The comorbidity rate of hypertension, diabetes, and dyslipidemia among middle-aged and older adults in Jiangsu Province was 7.3%. Hypertension combined with dyslipidemia was the main comorbidity pattern, and patients with diabetes accounted for the largest proportion. Multinomial logistic regression analysis showed that the risk of being two types of the three comorbidities was higher in male, aging, urban residents, and those with high/technical secondary school, higher frequency of cigarette smoking and alcohol drinking, and longer daily sedentary time; the risk was lower in those with higher the level of physical activity and longer daily sleep time. Among the three types of comorbidities, males with aging, high/technical secondary school, regular smoking/quitting, higher frequency of alcohol drinking, and longer daily sedentary time had higher risk; those with an annual family income of 30 000-99 999 RMB, higher level of physical activity, and the daily sleep time of 7 hours had the lower risk (all P<0.05). Conclusions:The prevention and control of the three comorbidities among middle-aged and older adults in Jiangsu Province still needs strengthening. High-risk groups for the three diseases and comorbidities, such as males, low-income , and high/technical secondary school should be focused on. Middle-aged and older adults are suggested to increase daily physical activity, reduce daily static time, reasonably arrange sleep duration, and quit smoking and drinking as early as possible to maintain a healthy weight.

ObjectiveTo introduce the basic design， development plan and objectives of a population-based birth cohort in Shanghai， and further present the main data and baseline characteristics of enrolled participants in the cohort， and to provide key information for reproductive health-related studies. MethodsThe Shanghai population-based birth cohort initiated on January 1， 2005， included newborns born in Shanghai every year and their parents， and collected information on reproductive health， reproductive treatment， birth characteristics， growth and development status， as well as the incidence， treatment and death of diseases by employing data linkage technology and investigations. This formed a birth cohort spanning the entire life cycle. ResultsAs of October 2022， a total of 2 978 538 newborns and their parents were included in the cohort. Among them， 2 905 135 （97.54%） were naturally conceived （NC）， and 73 403 （2.46%） were born through assisted reproductive technologies （ART）. The average age of parents was （32.56±4.12） years old for females and （34.62±5.34） years old for males in the ART group， which was higher than （28.02±4.71） years and （30.07±5.54） years for parents in the NC group. Among parents， females and males aged 30 and above accounted for 77.12% and 85.08%， respectively， which were higher than that of parents （35.28% for females and 49.66% for males） in the NC group. Furthermore， the percentage of parents with a college degree or above in the ART group was 73.23% for females and 73.66% for males， which were higher than those in the NC group （49.98% and 50.91%， respectively）. The multiple births rate in the ART group was 33.81%， which was higher than that in the NC group （1.88%）. The incidence of premature birth and low birth weight in the ART group were 24.47% and 19.08%， respectively， which was higher than that in the NC group （5.47% and 3.73%）. ConclusionThe comprehensive collection of reproductive health-related information in the birth cohort in Shanghai can provide essential resources to determine the influence of genetics， environment， reproductive treatment and other related factors on the health of offspring after birth.

BACKGROUND: The effects of acupuncture have varied in different randomized controlled trials (RCTs), and there are many factors that influence treatment effect of acupuncture in different outcomes, with conflicting results. OBJECTIVE: To identify factors and their impact on the treatment effect of acupuncture in different outcomes. METHODS: Acupuncture RCTs were searched from 7 databases including Medline (PubMed), Embase, Cochrane Central Register of Controlled Trials, China National Knowledge Infrastructure, Wanfang Database, VIP Database, and China Biology Medicine disc between January 1st, 2015 and December 31st, 2019. Eligible studies must compare acupuncture to no acupuncture, sham acupuncture, or waiting lists, and report at least 1 patient-important outcome. A multi-level meta-regression was conducted using a 3-level robust mixed model and univariate analyses were performed for all independent variables, even those excluded from the multivariable model due to collinearities. We used thresholds of 0.2 and 0.4 for the difference of standardized mean differences (SMDs), categorising them as small (<0.2), moderate (0.2-0.4), or large (>0.4) effects. RESULTS: The pain construct analysis involved 211 effect estimates from 153 studies and 14 independent variables. High-frequency acupuncture treatment sessions produced larger effects compared to low-frequency sessions [large magnitude, the difference of adjusted SMDs 0.46, 95% confidence interval (CI) 0.07 to 0.84; P=0.02]. The non-pain symptoms construct analysis comprised 323 effect estimates from 231 studies and 15 independent variables. Penetrating acupuncture showed moderately larger effects when compared to non-penetrating acupuncture (0.30, 95% CI 0.06 to 0.53; P=0.01). The function construct analysis included 495 effect estimates from 274 studies and 14 independent variables. Penetrating acupuncture and the flexible acupuncture regimen showed moderately larger effects, compared to non-penetrating acupuncture and fixed regimen, respectively (0.40, 95% CI 0 to 0.80; P=0.05; 0.29, 95% CI 0.06 to 0.53; P=0.01). CONCLUSIONS High-frequency acupuncture sessions appear to be a more effective approach to managing painful symptoms. Penetrating acupuncture demonstrated greater effect in relieving non-painful symptoms. Both penetrating acupuncture type and flexible acupuncture regimen were linked to significant treatment effects in function outcomes. Future studies should consider the factors that are significantly associated with the effects of acupuncture in patient-important outcomes.
Humans ; Randomized Controlled Trials as Topic ; Acupuncture Therapy/methods* ; Pain ; Pain Management ; China

Objective To evaluate the process risk of the implementation of prevention and control measures for surgical site infection(SSI)after colorectal surgery,and explore the application effect of failure mode and effects analysis(FMEA)based on action priority.Methods FMEA based on action priority was adopted to evaluate the whole process of the implementation of prevention and control measures for SSI after colorectal surgery.Prioritiza-tion ranking was conducted according to whether optimized measures were taken.Standard-reaching rate of comp-liance to SSI prevention and control measures as well as SSI incidence before and after the implementation of FMEA were compared.Results After evaluation,there were 7 high-priority and 22 medium-priority prevention and control measures for SSI.The control of medium-priority measures was strengthened,with a focus on developing further preventive and detectable measures for high-priority measures.The re-evaluation results after improvement showed that 7 high-priority measures have been downgraded to medium priority,and 16 medium-priority measures have been downgraded to low priority.Standard-reaching rate of compliance to SSI prevention and control measures in-creased from 77.15％(2 566/3 326)to 92.47％(3 096/3 348),and SSI incidence decreased from 6.04％(58/960)to 2.54％(60/2 364).Conclusion Application of FMEA based on action priority can effectively evaluate the risk of prevention and control process of SSI after colorectal surgery,and adopting preventive risk control measures accord-ing to the current situation can reduce the incidence of SSI after colorectal surgery.

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.

Objective To comprehensively characterize the diterpene alkaloids in Radix Aconiti Kusnezoffii.Methods The diterpene alkaloids were isolated and purified by strong acid cation exchange resin solid phase extraction column(SCX-SPE),and identified by ultra high performance liquid chromatography-Q-Exactive Orbitrap mass spectrometry(UHPLC-Q-Exactive Orbitrap MS).Results A total of 99 diterpene alkaloids were identified from Radix Aconiti Kusnezoffii,including 27 diester diterpene alkaloids(DDA),29 monoester diterpene alkaloids(MDA),40 amide diterpene alkaloids(ADA),2 polyester diterpene alkaloids(PDA)and 1 long-chain ester diterpene alkaloid(LDA).Conclusion The SCX-SPE combined with UHPLC-Q-Exactive Orbitrap MS method,established in this paper,can rapidly identify a large number of diterpene alkaloids in Radix Aconiti Kusnezoffii,which provides scientific proof for the study of pharmacodynamic substance basis and quality control of Radix Aconiti Kusnezoffii.

Aim To explore its potential biological basis and the endogenous metabolic characteristics of urine during the formation of primary dysmenorrhea via untargeted urine metabolomics. Methods Twenty SD rats were randomly divided into control group and model group. The primary dysmenorrhea model was reproduced by estradiol benzoate combined with oxytocin, and the contrrol group took food and water freely. The differential metabolites and core metabolic pathways were found by multivariable pattern recognition method combined with ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry. The receiver operating characteristic ( ROC ) curve was drawn by metaboanalyst 5.0 platform to evaluate the clinical diagnostic efficacy of core metabolites. Results A total of 46 metabolites with significant differences, such as hippuric acid, phenylacetaldehyde, prostaglandin G2, 6-hydroxy-5-methoxyindole glucuronide, were screened, mainly involving phenylalanine metabolism, pentose and glucuronate interconversions, and arachidonic acid metabolism. ROC curve showed that the area under the curve of four core biomarkers was greater than 0.7. Conclusions Different metabolic maps are presented in different progressive stages of primary dysmenorrhea, mainly involving the disorders of fatty acid metabolism, carbohydrate metabolism and amino acid metabolism. Meanwhile, the extracted characteristic bi¬omarkers have high diagnostic value for the evaluation of primary dysmenorrhea.

Objective To analyze the genetic subtypes of human immunodeficiency virus (HIV) and the prevalence of pretreatment drug resistance in the newly reported HIV-infected men in Guangxi. Methods The stratified random sampling method was employed to select the newly reported HIV-infected men aged≥50 years old in 14 cities of Guangxi from January to June in 2020.The pol gene of HIV-1 was amplified by nested reverse transcription polymerase chain reaction and then sequenced.The mutation sites associated with drug resistance and the degree of drug resistance were then analyzed. Results A total of 615 HIV-infected men were included in the study.The genetic subtypes of CRF01_AE,CRF07_BC,and CRF08_BC accounted for 57.4% (353/615),17.1% (105/615),and 22.4% (138/615),respectively.The mutations associated with the resistance to nucleoside reverse transcriptase inhibitors (NRTI),non-nucleoside reverse transcriptase inhibitors (NNRTI),and protease inhibitors occurred in 8 (1.3%),18 (2.9%),and 0 patients,respectively.M184V (0.7%) and K103N (1.8%) were the mutations with the highest occurrence rates for the resistance to NRTIs and NNRTIs,respectively.Twenty-two (3.6%) patients were resistant to at least one type of inhibitors.Specifically,4 (0.7%),14 (2.3%),4 (0.7%),and 0 patients were resistant to NRTIs,NNRTIs,both NRTIs and NNRTIs,and protease inhibitors,respectively.The pretreatment resistance to NNRTIs had much higher frequency than that to NRTIs (2.9% vs.1.3%;χ²=3.929,P=0.047).The prevalence of pretreatment resistance to lamivudine,zidovudine,tenofovir,abacavir,rilpivirine,efavirenz,nevirapine,and lopinavir/ritonavir was 0.8%, 0.3%, 0.7%, 1.0%, 1.3%, 2.8%, 2.9%, and 0, respectively. Conclusions CRF01_AE,CRF07_BC,and CRF08_BC are the three major strains of HIV-infected men≥50 years old newly reported in Guangxi,2020,and the pretreatment drug resistance demonstrates low prevalence.
Male ; Humans ; Middle Aged ; Reverse Transcriptase Inhibitors/therapeutic use* ; HIV Infections/drug therapy* ; Drug Resistance, Viral/genetics* ; China/epidemiology* ; Mutation ; HIV-1/genetics* ; Protease Inhibitors/therapeutic use* ; Genotype