To analyze the association between fat-to-muscle ratio (FMR) and new-onset diabetes, and to compare its predictive value with that of traditional anthropometric indicators.

To analyze the clinical characteristics of acute diquat poisoning complicated by central nervous system injury (CNSI) and identify early risk factors, aiming to provide a theoretical basis for reducing mortality in diquat poisoning with CNSI.

OBJECTIVE: To observe the effects of Tiaoshu Anshen (regulating the hinge and calming the mind) acupuncture on sleep quality and serum levels of 5-hydroxytryptamine (5-HT) and dopamine (DA) in patients with chronic insomnia. METHODS: A total of 58 patients with chronic insomnia were randomly divided into an acupuncture group and a medication group, 29 cases in each group. Tiaoshu Anshen acupuncture was applied at Baihui (GV20) and bilateral Shenmen (HT7), Sanyinjiao (SP6), Benshen (GB13) in the acupuncture group, once a day, 1-day interval was taken after 6 consecutive days of treatment. Estazolam tablet was given orally before bed in the medication group, 1 mg each time. The 4-week treatment was required in both groups. Before and after treatment, the sleep quality was assessed by Pittsburgh sleep quality index (PSQI) and polysomnography (PSG), the serum levels of 5-HT and DA were detected by ELISA. RESULTS: After treatment, the item scores and total scores of PSQI were decreased compared with those before treatment in the two groups (P<0.05); in the acupuncture group, the scores of sleep quality, sleep latency, sleep time, sleep efficiency, sleep disorders and total score of PSQI were lower than those in the medication group (P<0.05). After treatment, the total sleep time (TST) was prolonged (P<0.05), the sleep latency (SL) and wake after sleep onset (WASO) were shortened (P<0.05), the sleep efficiency (SE%), percentage of non-rapid eye movement stage 3 (N3%), percentage of rapid eye movement stage (REM%) and serum levels of 5-HT were increased (P<0.05) compared with those before treatment; the percentage of non-rapid eye movement stage 1 (N1%), percentage of non-rapid eye movement stage 2 (N2%) and serum levels of DA were decreased (P<0.05) compared with those before treatment in the two groups. After treatment, in the acupuncture group, TST was longer, while SL and WASO were shorter than those in the medication group (P<0.05), SE%, N3%, REM% and serum level of 5-HT were higher, while N1%, N2% and serum level of DA were lower than those in the medication group (P<0.05). CONCLUSION Tiaoshu Anshen acupuncture may improve the sleep quality by regulating the serum neurotransmitter levels i.e. 5-HT and DA in patients with chronic insomnia.
Humans ; Sleep Initiation and Maintenance Disorders/physiopathology* ; Male ; Acupuncture Therapy ; Female ; Middle Aged ; Adult ; Serotonin/blood* ; Sleep Quality ; Acupuncture Points ; Dopamine/blood* ; Aged ; Neurotransmitter Agents/blood* ; Young Adult

To investigate the efficacy of amiodarone and lidocaine in cardiac arrest patients.

Objective:To investigate the clinical characteristics and risk factors associated with secondary systemic capillary leak syndrome (SSCLS) induced by acute organophosphorus pesticide poisoning (AOPP). The goal is to enhance clinical understanding of this complication and provide a theoretical foundation for the early identification of high-risk patients and the optimization of individualized treatment strategies.Methods:Clinical data were collected from patients admitted to the Emergency Department of Fuyang People’s Hospital Affiliated to Anhui Medical University between October 2019 and October 2024, who were diagnosed with acute dichlorvos poisoning. The clinical features of SSCLS were described, and patients were categorized into SSCLS and non-SSCLS groups. Binary multivariate logistic regression analysis was conducted on statistically significant indicators to identify independent risk factors for SSCLS. Receiver operating characteristic (ROC) curves were generated to evaluate the predictive value of these factors.Results:Among the 96 patients studied, 37 (38.5%) developed SSCLS. The median time from toxin ingestion to the onset of SSCLS was 3.0 (2.0-5.0) hours. In the 14 SSCLS survivors, the median duration of SSCLS was 50.0 (24-72) hours, whereas in the 23 non-survivors, it was 24.0 (12.0-35.0) hours. The mortality rate in the SSCLS group (62.16%, 23/37) was significantly higher than that in the non-SSCLS group (1.69%, 1/59) ( χ2=44.343, P<0.001). Blood toxin analysis detected trichlorfon components in 92 patients (95.83%). Binary multivariate logistic regression identified APACHE Ⅱ score and trichlorfon concentration (≥706.35 ng/mL) as independent risk factors for SSCLS ( P<0.05). ROC analysis revealed that the combination of these two factors had a higher predictive value ( P<0.05). Conclusions:In the diagnosis and treatment of acute dichlorvos (organophosphorus pesticide) poisoning, particular attention should be given to the combined toxic effects of dichlorvos and trichlorfon, which can lead to SSCLS. The onset and progression of SSCLS are rapid, and the condition is associated with a high mortality rate. Both APACHE Ⅱ scores and trichlorfon concentrations (≥706.35 ng/mL) are independent risk factors for the development of SSCLS, and their combined use enhances predictive accuracy. Early identification of high-risk patients and timely administration of individualized treatment are critical for reducing mortality rates. This revised abstract maintains the original meaning while improving clarity, flow, and readability. It ensures that the key points are presented in a structured and professional manner, suitable for a clinical audience.

Objective:The research group had previously developed an artificial intelligence algorithm to predict sepsis within 24 hours at the triage stage in emergency departments. This research studied the doctors’ response to algorithm-generated risk alerts and designs appropriate physician-algorithm collaboration strategies to further enhance sepsis risk identification capabilities.Methods:The research collected 40 cases of sepsis in the emergency departments from the open medical database MIMIC-IV (Medical Information Mart for Intensive Care) for a collaboration test. The cases were selected according to their typicality and classified according to the model’s confidence in its prediction. A total of 165 emergency doctors from 58 hospitals in China, stratified by professional rank, participated in the study. Four collaboration modes were designed with different information volumes and reading costs using the information offered by the algorithm. During the test, before and after the model presented its results and interpretive information according to the collaboration mode, the doctors were asked to rate the sepsis risk for each sample and record their confidence.Results:Analysis of the 4 704 valid evaluations done by 147 doctors showed that different collaboration modes caused no significant difference on doctors’ detection of sepsis risk. For cases with high model confidence, physicians’ diagnostic accuracy improved by 2.6%±0.6% ( P=0.02) post-algorithm input, with increased confidence in correct judgments. Conversely, for low-confidence model predictions, diagnostic accuracy decreased by 2.6%±1.4% ( P=0.06), accompanied by reduced clinician confidence in accurate assessments. Conclusions:The collaboration effect is mostly determined by the model’s confidence in its prediction. Different collaboration modes cause no significant difference, and doctors of different titles are influenced consistently with the same model confidence. Suggestions for collaboration design are as follow. When the model has low confidence in its own assessment of a patient’s sepsis risk, it should not directly demonstrate its assessment. When the model has high confidence, its assessment can be offered to the doctors as a reference. When predicting sepsis at the triage stage in the emergency departments, no extra interpretive information is needed.

Atypical hemolytic uremic syndrome(aHUS),a rare disease caused by complement abnor-malities,is characterized by microangiopathic hemolytic anemia,thrombocytopenia,and acute kidney injury.In this paper,we report a patient with severe renal insufficiency with rapidly progressive decline in binocular visual acuity,who developed eosinophilia during the course of the disease,and was diagnosed with aHUS after excluding other diseases.After glucocorticoid treatment,eosinophils decreased to normal,and after treatment with plasmapheresis combined with eculizumab,renal function tended to be stable,platelets returned to normal,but visual acuity did not improve significantly.This article reviews the diagnosis and treatment process of this patient and incorporates the review of literature,in the hope of providing reference for clinicians.

Atypical hemolytic uremic syndrome (aHUS), a rare disease caused by complement abnormalities, is characterized by microangiopathic hemolytic anemia, thrombocytopenia, and acute kidney injury. In this paper, we report a patient with severe renal insufficiency with rapidly progressive decline in binocular visual acuity, who developed eosinophilia during the course of the disease, and was diagnosed with aHUS after excluding other diseases. After glucocorticoid treatment, eosinophils decreased to normal, and after treatment with plasmapheresis combined with eculizumab, renal function tended to be stable, platelets returned to normal, but visual acuity did not improve significantly. This article reviews the diagnosis and treatment process of this patient and incorporates the review of literature, in the hope of providing reference for clinicians.

To explore the risk factors of capillary leakage syndrome in patients with acute organophosphorus pesticide poisoning (AOPP), in order to provide reference for clinical screening and intervention timing.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.