Objective To explore the effectiveness of the cumulative sum (CUSUM) and the exponentially weighted moving average (EWMA) for early warning of influenza epidemic using two datasets of reported influenza cases and influenza-like illness (ILI) cases. Methods Using the reported cases of influenza and ILI in Daxing District, Beijing, from week 23 of 2018 to week 22 of 2024 as data sets, the CUSUM and EWMA models were established, respectively. The positive rate of influenza etiology was used as the ^“gold standard^”, and the Youden index was used as the evaluation index to compare the early warning effect of the two models under different data sets and different parameters. Results In CUSUM, the optimal Youden indices of the reported influenza cases set and the ILI cases set were 0.751 and 0.635, respectively. In EWMA, the optimal Youden indices of the reported influenza cases set and the ILI cases set were 0.544 and 0.464, respectively. The optimal EWMA and CUSUM models could both issue early warning signals in advance of the ^“gold standard^”. Conclusion In the influenza epidemic early warning in Daxing District, Beijing, the CUSUM model established with the reported cases of influenza can achieve good early warning effects, but the model parameters need to be dynamically adjusted according to the local epidemic characteristics.

OBJECTIVE: To explore the association between blood glucose trajectories within 7 days of intensive care unit (ICU) admission and mortality in patients with sepsis-associated acute respiratory distress syndrome (ARDS). METHODS: Based on the MIMIC-IV database, sepsis-associated ARDS patients with daily blood glucose monitoring data within 7 days of ICU admission were selected. Blood glucose trajectories were analyzed using group-based trajectory modeling (GBTM), and the optimal number of groups was determined based on the minimum Akaike information criterion (AIC), Bayesian information criterion (BIC), average posterior probability (AvePP), odds of correct classification (OCC), and proportion of group membership (Prop). Baseline characteristics including demographics, comorbidities, severity scores, vital signs, laboratory indicators within the first 24 hours of ICU admission, and treatments were collected. Kaplan-Meier survival curves were used to compare 28-day and 1-year survival across trajectory groups. Multivariate Logistic regression was performed to evaluate the associations between glucose trajectory groups and in-hospital mortality, ICU mortality. The incidence of hypoglycemia within 7 days in the ICU was analyzed among different groups. RESULTS: A total of 3 869 patients with sepsis-associated ARDS were included, with a median age of 63.52 (52.13, 73.54) years; 59.6% (2 304/3 869) were male. Based on glucose levels within 7 days, patients were categorized into three groups: persistent hyperglycemia group (glucose maintained at 10.6-13.1 mmol/L, n = 894), moderate glucose group (7.8-8.9 mmol/L, n = 1 452), and low-normal glucose group (6.1-7.0 mmol/L, n = 1 523). There were statistically significant differences in 28-day mortality and 1-year mortality among low-normal glucose group, moderate glucose group, and persistent hyperglycemia group [28-day mortality: 11.42% (174/1 523), 19.83% (288/1 452), 25.50% (228/894), χ ² = 82.545, P < 0.001; 1-year mortality: 23.31% (355/1 523), 33.75% (490/1 452), 39.49% (353/894), χ ² = 77.376, P < 0.001]. Kaplan-Meier analysis showed that higher glucose trajectories were associated with significantly lower 28-day and 1-year cumulative survival rates (Log-rank test: χ ² were 83.221 and 85.022, both P < 0.001). There were statistically significant differences in in-hospital mortality and ICU mortality among the low-normal glucose group, moderate glucose group, and persistent hyperglycemia group [in-hospital mortality: 9.65% (147/1 523), 19.70% (286/1 452), 24.50% (219/894), χ ² = 102.020, P < 0.001; ICU mortality: 7.22% (110/1 523), 16.05% (233/1 452), 20.13% (180/894), χ ² = 93.050, P < 0.001]. Logistic regression confirmed that, using the persistent hyperglycemia group as the reference, the low-normal glucose group had significantly lower risks of in-hospital mortality and ICU mortality after multiple factor adjustment. Although the moderate glucose group showed a trend toward lower mortality, the differences were not statistically significant. Using the moderate glucose group as a reference, the low-normal glucose group had 43.1% lower in-hospital mortality [odds ratio (OR) = 0.569, 95% confidence interval (95%CI) was 0.445-0.726, P < 0.001] and 42.0% lower ICU mortality (OR = 0.580, 95%CI was 0.439-0.762, P < 0.001). There was no statistically significant difference in the incidence of hypoglycemia within 7 days of ICU admission among low-normal glucose group, moderate glucose group, and persistent hyperglycemia group [2.82% (43/1 523), 2.69% (39/1 452), 3.02% (27/894), χ ² = 0.226, P = 0.893]. CONCLUSIONS Blood glucose trajectories during ICU stay are closely associated with prognosis in patients with sepsis-associated ARDS. Persistent hyperglycemia (10.6-13.1 mmol/L) is linked to significantly higher short- and long-term mortality.
Humans ; Respiratory Distress Syndrome/etiology* ; Sepsis/blood* ; Intensive Care Units ; Male ; Female ; Middle Aged ; Blood Glucose/metabolism* ; Hospital Mortality ; Aged

Objective:To investigate the difference in brain activity intensity between methamphetamine (MA) dependent patients (MA group) and healthy controls (control group) using fractional amplitude of low-frequency fluctuation (fALFF), and to establish a classification model between these two groups using support vector machine (SVM).Methods:From February 2014 to October 2019, a total of 46 male MA-dependent patients and 46 male healthy controls were recruited from the Affiliated Kangning Hospital of Ningbo University. The study collected resting-state functional magnetic resonance imaging (rs-fMRI) data and analyzed the differences in brain functional activity between the two groups. This analysis was conducted using both static and dynamic fractional amplitude of low-frequency fluctuations (d-fALFF). Additionally, the study examined the correlation between fALFF/d-fALFF values in specific brain regions and the total scores, as well as each factor score, of the Brief Psychiatric Rating Scale (BPRS). Furthermore, the relationship between fALFF/d-fALFF values and the age of first use and total dose of MA in the MA group was investigated. Finally, the fALFF map and d-fALFF map of brain regions with significant differences between groups were used as features for constructing classification.Results:Compared to the healthy control group, those dependent on MA showed significantly increased fALFF mainly in the nucleus accumbens, caudate nucleus, thalamus, and amygdala nucleus( t=-5.21--2.72, all P<0.05). The MA group exhibited decreased fALFF in the superior frontal gyrus, middle frontal gyrus, orbital gyrus, and cingulate gyrus( t=3.59-5.00, all P<0.05). Most of the brain regions with decreased d-fALFF overlapped with those exhibiting decreased fALFF( t=3.33-4.87, all P<0.05). The results of the correlation analysis showed that the fALFF value of the right nucleus accumbens was positively correlated with the age of first use of MA ( r=0.537, P<0.001). There is no significant relationship between the abnormal fALFF and d-fALFF values in the MA group and the total scores and each factor scores of BPRS, as well as the total dose of MA taken (after removing outliers). Based on fALFF and d-fALFF values, the SVM classifier achieved accuracies of 90.33%±6.89% and 71.56%±7.80%, respectively. Conclusions:There are significant abnormalities in the low-frequency fluctuation of the resting brain in patients dependent on MA. These abnormalities reflect the rigidity of prefrontal cortex activity, functional impairment, and dysfunction of the anti-reward system. These factors may be one of the causes for MA dependent behavior and repeated episodes. In addition, the fALFF values may be helpful for distinguishing MA dependent individuals from the control group.

A total of 1 557 cases were included in the Febrile Respiratory Syndrome (FRS) surveillance conducted in Daxing District between 2018 and 2023. Twelve respiratory pathogens were investigated: human influenza virus (HIFV), human respiratory syncytial virus (HRSV), human parainfluenza virus (HPIV), human rhinovirus (HRV), human enterovirus (HEV), human adenovirus (HadV), human metapneumovirus (HMPV), human bocavirus (HBoV), Mycoplasma pneumoniae (MP), Chlamydia pneumoniae (CP), human coronavirus (HCoV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results demonstrated an overall pathogen detection rate of 25.31% (394/1 557), with descending prevalence as follows: HIFV, SARS-CoV-2, HRV, HPIV, MP, HCoV, HRSV, HEV, HMPV, HadV, HBoV, and CP. Temporal analysis revealed detection rates of 26.98% (150/556) for 2018-2019, 15.81% (95/601) for 2020-2022, and 37.25% (149/400) for 2023, showing statistically significant interannual variation (χ2=59.703, P<0.001). Compared with 2018-2019, 2023 exhibited significantly elevated detection rates for HIFV and HMPV ( P<0.05), while HRV, MP, HEV, and HBoV demonstrated significantly reduced rates ( P<0.05). Age-stratified analysis identified HIFV, HRSV, and HadV as the predominant pathogens in individuals aged <15 years, whereas SARS-CoV-2, HIFV, and HRV predominated in those aged ≥60 years.

Objective:To investigate the difference in brain activity intensity between methamphetamine (MA) dependent patients (MA group) and healthy controls (control group) using fractional amplitude of low-frequency fluctuation (fALFF), and to establish a classification model between these two groups using support vector machine (SVM).Methods:From February 2014 to October 2019, a total of 46 male MA-dependent patients and 46 male healthy controls were recruited from the Affiliated Kangning Hospital of Ningbo University. The study collected resting-state functional magnetic resonance imaging (rs-fMRI) data and analyzed the differences in brain functional activity between the two groups. This analysis was conducted using both static and dynamic fractional amplitude of low-frequency fluctuations (d-fALFF). Additionally, the study examined the correlation between fALFF/d-fALFF values in specific brain regions and the total scores, as well as each factor score, of the Brief Psychiatric Rating Scale (BPRS). Furthermore, the relationship between fALFF/d-fALFF values and the age of first use and total dose of MA in the MA group was investigated. Finally, the fALFF map and d-fALFF map of brain regions with significant differences between groups were used as features for constructing classification.Results:Compared to the healthy control group, those dependent on MA showed significantly increased fALFF mainly in the nucleus accumbens, caudate nucleus, thalamus, and amygdala nucleus( t=-5.21--2.72, all P<0.05). The MA group exhibited decreased fALFF in the superior frontal gyrus, middle frontal gyrus, orbital gyrus, and cingulate gyrus( t=3.59-5.00, all P<0.05). Most of the brain regions with decreased d-fALFF overlapped with those exhibiting decreased fALFF( t=3.33-4.87, all P<0.05). The results of the correlation analysis showed that the fALFF value of the right nucleus accumbens was positively correlated with the age of first use of MA ( r=0.537, P<0.001). There is no significant relationship between the abnormal fALFF and d-fALFF values in the MA group and the total scores and each factor scores of BPRS, as well as the total dose of MA taken (after removing outliers). Based on fALFF and d-fALFF values, the SVM classifier achieved accuracies of 90.33%±6.89% and 71.56%±7.80%, respectively. Conclusions:There are significant abnormalities in the low-frequency fluctuation of the resting brain in patients dependent on MA. These abnormalities reflect the rigidity of prefrontal cortex activity, functional impairment, and dysfunction of the anti-reward system. These factors may be one of the causes for MA dependent behavior and repeated episodes. In addition, the fALFF values may be helpful for distinguishing MA dependent individuals from the control group.

A total of 1 557 cases were included in the Febrile Respiratory Syndrome (FRS) surveillance conducted in Daxing District between 2018 and 2023. Twelve respiratory pathogens were investigated: human influenza virus (HIFV), human respiratory syncytial virus (HRSV), human parainfluenza virus (HPIV), human rhinovirus (HRV), human enterovirus (HEV), human adenovirus (HadV), human metapneumovirus (HMPV), human bocavirus (HBoV), Mycoplasma pneumoniae (MP), Chlamydia pneumoniae (CP), human coronavirus (HCoV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Results demonstrated an overall pathogen detection rate of 25.31% (394/1 557), with descending prevalence as follows: HIFV, SARS-CoV-2, HRV, HPIV, MP, HCoV, HRSV, HEV, HMPV, HadV, HBoV, and CP. Temporal analysis revealed detection rates of 26.98% (150/556) for 2018-2019, 15.81% (95/601) for 2020-2022, and 37.25% (149/400) for 2023, showing statistically significant interannual variation (χ2=59.703, P<0.001). Compared with 2018-2019, 2023 exhibited significantly elevated detection rates for HIFV and HMPV ( P<0.05), while HRV, MP, HEV, and HBoV demonstrated significantly reduced rates ( P<0.05). Age-stratified analysis identified HIFV, HRSV, and HadV as the predominant pathogens in individuals aged <15 years, whereas SARS-CoV-2, HIFV, and HRV predominated in those aged ≥60 years.

Background Clozapine belongs to atypical antipsychotic drugs that has shown significant efficacy in treating schizophrenia.However,clozapine can induce arrhythmias in patients.Currently,there is a lack of systematic research on the types and incidence of clozapine-induced arrhythmias.Objective To explore the types and incidence of arrhythmias in patients with schizophrenia induced by clozapine through Meta-analysis,so as to provide references for clinical treatment.Methods On October 31,2022,a search was conducted through PubMed,Embase,Cochrane Library and China National Knowledge Infrastructure(CNKI)to collect relevant literature on clozapine-induced arrhythmia in patients with schizophrenia.Joanna Briggs Institute(JBI)was used to evaluate the quality of the included literature.Meta-analysis was conducted using Review Manager 5.4.Results A total of 12 studies were included,involving 42 490 schizophrenia patients taking clozapine.The incidence of arrhythmias caused by clozapine was 23％(95％CI:0.16～0.29).Among them,the incidence of tachycardia was 25％(95％CI:0.15～0.35),atrial arrhythmia was 6％(95％CI:-0.02～0.14),ventricular arrhythmia was 7％(95％CI:-0.02～0.16),conduction block was 2％(95％CI:0～0.04),QTc prolongation was 4％(95％CI:-0.04～0.12)and T-wave changes was 23％(95％CI:0.16～0.30).Conclusion Schizophrenia patients taking clozapine may increase their risk of developing arrhythmia,with tachycardia being the most prevalent.

Objective:To investigate the delay in medical care-seeking and diagnosis of human brucellosis cases in Daxing District, Beijing City, and analyze the relevant influencing factors.Methods:Retrospective analysis method was used to collect the information on brucellosis cases reported by the Infectious Disease Reporting Information Management System of the China Disease Prevention and Control Information System in Daxing District, Beijing City from January 1, 2013 to December 31, 2022. And the case information was reviewed, including demographic information, clinical manifestations, medical care-seeking, diagnosis, etc. Binary logistic regression was used to analyze the influencing factors of delayed diagnosis.Results:A total of 120 cases of brucellosis were included, including 91 males and 29 females, with a male-to-female ratio of 3.14 ∶ 1.00. The majority were aged 40 - 79 years, accounting for 81.7% (98/120). Farmers and unemployed household workers were the main occupations, accounting for 67.5% (81/120). The main clinical manifestations were fever (85.8%, 103/120), hyperhidrosis (65.8%, 79/120), fatigue (61.7%, 74/120), and muscle soreness (60.0%, 72/120). The delay rate of medical care-seeking was 33.3% (40/120), with a median medical care-seeking time of 6 days (interquartile range: 2 - 22 days, range: 0 - 727 days). The diagnosis delay rate was 50.8% (61/120), with a median diagnosis time of 10 days (interquartile range: 3 - 22 days, range: 0 - 1 530 days). The results of binary logistic regression analysis showed that the reasons for initial diagnosis were severe or recurrent symptoms ( OR = 6.76, 95% CI: 2.40 - 19.01), serological monitoring or other diseases ( OR = 36.00, 95% CI: 3.57 - 362.72), and delayed medical care-seeking ( OR = 4.30, 95% CI: 1.68 - 11.01) were risk factors for delayed diagnosis of brucellosis cases. The location of the diagnostic hospitals outside the city ( OR = 0.27, 95% CI: 0.08 - 0.92) was a protective factor for delayed diagnosis of brucellosis cases. Conclusions:The medical care-seeking and diagnosis of brucellosis cases in Daxing District, Beijing City have been delayed to varying degrees. The reasons of initial diagnosis are severe or recurrent symptoms, serological monitoring or other diseases, and medical care-seeking delay are the risk factors for the delayed diagnosis of brucellosis cases. The location of the diagnostic hospitals outside the city is a protective factor for delayed diagnosis of brucellosis cases.

ObjectiveTo observe the therapeutic effects of Qishao Huoxue prescription on patients with lumbar disc herniation due to Qi stagnation and blood stasis and the effects of this prescription on hemorheological parameters and serum levels of inflammatory mediators. MethodA total of 86 patients with lumbar disc herniation due to Qi stagnation and blood stasis treated in the Wangjing Hospital of China Academy of Chinese Medical Sciences from January 2023 to February 2024 were selected and assigned according to the random number table into observation and control groups （n=43）. Patients in both groups received lumbar traction treatment. In addition， the observation group was orally treated with Qishao Huoxue prescription and the control group with celebrex for 3 weeks. The visual analogue scale （VAS） score， Oswestry disabilitiy index （ODI） score， 12-item Short-Form Survey （SF-12） score， traditional Chinese medicine （TCM） symptom score， hemorheological parameters ［whole blood high shear viscosity， middle shear viscosity， low shear viscosity， plasma viscosity （PV）， and fibrinogen （FIB）］， and the serum levels of inflammatory mediators ［tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， interleukin-1β （IL-1β）， and transforming growth factor-β₁ （TGF-β₁）］ were determined before and after treatment. In addition， the clinical efficacy and adverse reactions were observed and compared between the two groups. ResultAfter treatment， both groups showed declined VAS， ODI， and TCM symptom scores （P<0.05）， increased SF-12 physical component summary （PCS） and mental component summary （MCS） scores （P<0.05）. After treatment， the whole blood high shear viscosity， middle shear viscosity， low shear viscosity， PV， and FIB decreased in the observation group （P<0.05）， while they did not show significant variations in the control group. After treatment， both groups of patients showed reductions in TNF-α， IL-6， and IL-1β levels and an elevation in the TGF-β₁ level （P<0.05）. Compared with the control group after treatment， the observation group showed decreases in VAS， ODI， TCM symptom scores and main symptom scores （P<0.05）， no significant differences in the secondary symptom scores， increased PCS and MCS scores （P<0.05）. The observation group outperformed the control group in terms of recovering whole blood high shear viscosity， middle shear viscosity， low shear viscosity， PV， FIB， TNF-α， IL-6， IL-1β， and TGF-β₁ （P<0.05）. The total response rate in the observation group was 97.5% （40/41）， which was higher than that （88.1%， 37/42） in the control group （P<0.05）. No serious adverse reaction was observed in the two groups during the observation period. One case in the observation group showed subcutaneous bruising on the lower limbs， which gradually disappeared after withdrawal. ConclusionQishao Huoxue prescription demonstrated definite effect in treating lumbar disc herniation due to qi stagnation and blood stasis by recovering hemorheological parameters and inhibiting the expression of inflammatory mediators in the serum without inducing adverse reactions. It is worth applying in clinical practice.

Background::Histological healing is closely associated with improved long-term clinical outcomes and lowered relapses in patients with ulcerative colitis (UC). Here, we developed a novel diagnostic criterion for assessing histological healing in UC patients.Methods::We conducted a retrospective cohort study in UC patients, whose treatment was iteratively optimized to achieve mucosal healing at Shanghai Tenth People’s Hospital of Tongji University from January 2017 to May 2022. We identified an inflammatory cell enumeration index (ICEI) for assessing histological healing based on the proportions of eosinophils, CD177 + neutrophils, and CD40L + T cells in the colonic lamina propria under high power field (HPF), and the outcomes (risks of symptomatic relapses) of achieving histological remission vs. persistent histological inflammation using Kaplan-Meier curves. Intrareader reliability and inter-reader reliability were evaluated by each reader. The relationships to the changes in the Nancy index and the Geboes score were also assessed for responsiveness. The ICEI was further validated in a new cohort of UC patients from other nine university hospitals. Results::We developed an ICEI for clinical diagnosis of histological healing, i.e., Y = 1.701X 1 + 0.758X 2 + 1.347X 3 - 7.745 (X 1, X 2, and X 3 represent the proportions of CD177 + neutrophils, eosinophils, and CD40L + T cells, respectively, in the colonic lamina propria under HPF). The receiver operating characteristics curve (ROC) analysis revealed that Y <-0.391 was the cutoff value for the diagnosis of histological healing and that an area under the curve (AUC) was 0.942 (95% confidence interval [CI]: 0.905-0.979) with a sensitivity of 92.5% and a specificity of 83.6% ( P <0.001). The intraclass correlation coefficient (ICC) for the intrareader reliability was 0.855 (95% CI: 0.781-0.909), and ICEI had good inter-reader reliability of 0.832 (95% CI: 0.748-0.894). During an 18-month follow-up, patients with histological healing had a substantially better outcome compared with those with unachieved histological healing ( P <0.001) using ICEI. During a 12-month follow-up from other nine hospitals, patients with histological healing also had a lower risk of relapse than patients with unachieved histological healing. Conclusions::ICEI can be used to predict histological healing and identify patients with a risk of relapse 12 months and 18 months after clinical therapy. Therefore, ICEI provides a promising, simplified approach to monitor histological healing and to predict the prognosis of UC.Registration::Chinese Clinical Trial Registry, No. ChiCTR2300077792.