Indirect energy metabolism measurement is the gold standard for providing nutritional support for critical illness. The accuracy of the measurement data directly affects the outcome of the disease. In order to study the influence of sampling delay on the accuracy of energy metabolism measurement under mechanical ventilation, the Matlab/Simulink platform and respiratory electrical model were used for simulation and quantitative analysis. The results show that the error of indirect energy metabolism measurement increases with the increase of sampling delay, the error of sampling delay in mechanical ventilation mode is larger than that of spontaneous breathing, and the error of sampling delay in PCV mode of mechanical ventilation is larger than that in VCV mode. Therefore, there should be different sampling delay compensation strategies under severe mechanical ventilation and its different control modes.
Computer Simulation ; Critical Illness ; Energy Metabolism ; Humans ; Respiration, Artificial

Lime sulfur is a common bactericide with strong alkalinity, and is highly corrosive to humans and animals. It is rare for lime sulfur poisoning clinically. This article discusses the clinical manifestations of a patient who was poisoned by oral lime sulfur. After the poisoning, the mucosa of the lips and pharynx broke, fever, and pulmonary inflammation quickly appeared. The pulmonary CT showed slight interstitial changes in both lungs. Through high flow oxygen inhalation, fluid infusion, drainage, maintenance of water and electrolyte balance, protection of important organ functions, and other symptomatic support and treatment, as well as control of blood pressure, blood sugar, maintenance of circulatory function and other targeted measures, the patient's condition gradually improved.
Animals ; Humans ; Calcium Compounds ; Sulfides ; Poisoning

A lung diffusion function detection system is designed. Firstly, the controllable collection of air, test gas source and calibration gas source was based on single-breath method measurement principle. Secondly, pulmonary diffusing capacity for carbon monoxide (D_lCO) was calculated by gas concentration measured by the non-dispersive infrared sensor to measure, the gas flow measured by the differential pressure sensor, and the temperature, humidity and atmospheric pressure sensors to test and evaluate the quantitative detection and evaluation of lung diffusion function. Moreover, a preliminary verification of the lung diffusion function detection system was implemented, and the results showed that the error of the lung carbon monoxide diffusion and the alveolar volume did not exceed 5%. Therefore, the system has high accuracy and is of great value for early screening and accurate assessment of COPD.
Carbon Monoxide ; Lung ; Pulmonary Diffusing Capacity/methods*

A new method to fabricate exact-fit medical implants is proposed. Medical image processing and digital geometry processing are adopted for bone triangular mesh modeling from CT image series. After geometric operations such as decimation, defragmentation, cutting and mirroring are applied to the original triangular mesh, an RP model of same size as the bone is fabricated with LOM method. RP models are used for manufacturing exact-fit implants and they also serve surgery-guiding purpose. This novel technique has been applied in over 30 clinical cases, and it is proven to be practicable.
Humans ; Image Processing, Computer-Assisted ; Mandible ; Mandibular Reconstruction ; Maxilla ; Models, Theoretical ; Reconstructive Surgical Procedures

Objective: Stress and cognitive impairment are common postoperative complications in elder patients who have undergone hip surgery. The objective of the work is to evaluate the effects of remimazolam supplemented to combined general anesthesia in improving stress and cognitive performance. Methods: A total of 120 patients were included to receive a low dose of remimazolam (0.1 mg/kg/h) intravenously combined with general anesthesia or general anesthesia alone during hip surgery. Assessments were used for evaluating cognitive and psychological performance respectively before surgery (T0), 24 h (T5), and 72 h (T6) after surgery. Physiological parameters including mean artery pressure, heart rate, and blood oxygen levels (SpO2) were measured at T0, 30 min after anesthesia (T1), and completion of surgery (T2). Stress indexes including serum cortisol and norepinephrine levels were measured at T0, T5, and T6. The visual analog scale pain scores were also acquired at 6 h after surgery, 12 h after surgery, and T6. Serum interleukin-6 and tumor necrosis factor-α levels were acquired at T0, T2, and T6. Results: Heart rate and SpO2 levels in the combination group were significantly improved compared to the control group. Serum cortisol and norepinephrine levels were the highest at T1 and decline over time until T5 in both groups, the two stress indexes of the combination group were significantly lower at T1 and T2. Conclusion Remimazolam supplemented to combined general anesthesia demonstrated significant benefit in reducing stress and cognitive dysfunction in elder patients who underwent hip surgery.

The study was conducted to characterize the pharmacokinetics, distribution, metabolism and excretion of CHMFL-FLT3-122 after a single oral dose of 50 mg·kg^-1 [¹⁴C] labeled CHMFL-FLT3-122 in rats. Isotope tracing techniques were used to analyze drug concentration and identify the distribution of drugs in tissues and metabolites in biological samples. The experiments were approved by the Animal Ethics Committee of XenoBiotic Laboratories-China, Inc. The absolute bioavailability in male and female rats were 45.83% and 50.92% respectively. The parent drug and its metabolites were extensively distributed in the stomach, intestine, liver and lung, and were eliminated completely in 48 h. The majority of radioactivity was excreted through the feces at 92.34% of the dose with a small fraction through urine at 3.99% of the dose. The parent drug was the most significant circulating component, representing 49.23% and 70.65% over the 0-48 h collection time interval in the plasma of male and female. Two major metabolites, M553 (sulfate conjugate) and M457 (N-dealkyl product), were identified in plasma. Metabolites of CHMFL-FLT3-122, including ten phase I and four phase II metabolites, were identified. The metabolic pathways of CHMFL-FLT3-122 were proposed as N-dealkylation, oxidation, amide hydrolysis, sulfate conjugation, and glucuronic conjugation.

Objective: To explore the relationship between behavioral problems and accidental injuries among preschoolers, and to provide evidence for the targeted prevention of children s accidental injuries. Methods: During September to October 2019, parent of 2 062 children aged 3 to 6 selected from 8 kindergartens in Hefei through stratified clustering method were investigated. The prevalence of accidental injuries and behavioral problems among preschoolers was collected by questionnaire survey. Results: The prevalence of accidental injury during the past year was 14.55%(300), and behavioral problems 14.21%(293). Total rate of behavioral problems and rate of each dimensions in children with accidental injury were 32.67%, 2.33%, 19.67%, 15.00%, 2.00%, 1.00 % and 5.00%, compared to 11.07%, 0.45%, 6.41%, 4.88%, 0.40%, 0.17% and 0.79% in children without accidental injury ( χ 2=98.11, 12.54, 58.90, 44.12, 10.51, 6.08, 32.68, P <0.01). Multivariate Logistic regression analysis showed that psychosomatic problems( OR =3.13, 95% CI =2.11-4.66), learning problems( OR =2.73, 95% CI =1.86-3.99), abnormal hyperactivity index ( OR =3.16, 95% CI =1.40-7.14) and left behind children ( OR =1.53, 95% CI =1.13-2.07) were associated with higher risk of accidental injuries( P <0.05). Conclusion Behavioral problems are significantly associated with unintentional injuries among preschool children, which deserved further attention and intervention when formulating prevention and control measures for childhood accidental injury.

Objective: To explore the prevalence of maternal adverse childhood experiences (ACEs) and the association with autistic behavior of preschool children, to provide a basis for the effective prevention of autism occurrence in preschool children. Methods: Through stratified cluster sampling, 3 655 preschool children in Hefei City were selected and surveyed regarding general information. Maternal ACEs and childhood autistic behaviors were assessed using the Adverse Childhood Experiences International Questionnaire and the Clancy Autism Behaviour Scale, respectively. Multiple Logistic regression model was used to analyze the correlation between maternal ACEs and child autistic behaviors. Results: The prevalence of autistic behavior was 6.10%, with significantly higher in boys (7.22%) than girls(4.86%)( χ 2=8.85, P <0.01). After adjustment for the confounding factors, the detection rate of autistic behaviors was higher in children of mother with ACEs than those of mother without( OR=2.77, 95%CI=1.92-3.99, P <0.05). Maternal ACEs were associated with an increased risk of autistic behaviors both in preschool boys and girls (boys: OR=2.90, 95%CI =1.81-4.64; girls: OR=2.56, 95%CI =1.43-4.61, all P <0.05). Conclusion Maternal ACEs are associated with increased risk of autistic behaviors among preschool children. More attention should be paid to the intergenerational effects of maternal ACEs to reduce risk of autism among preschool children.

The automatic recognition technology of muscle fatigue has widespread application in the field of kinesiology and rehabilitation medicine. In this paper, we used surface electromyography (sEMG) to study the recognition of leg muscle fatigue during circuit resistance training. The purpose of this study was to solve the problem that the sEMG signals have a lot of noise interference and the recognition accuracy of the existing muscle fatigue recognition model is not high enough. First, we proposed an improved wavelet threshold function denoising algorithm to denoise the sEMG signal. Then, we build a muscle fatigue state recognition model based on long short-term memory (LSTM), and used the Holdout method to evaluate the performance of the model. Finally, the denoising effect of the improved wavelet threshold function denoising method proposed in this paper was compared with the denoising effect of the traditional wavelet threshold denoising method. We compared the performance of the proposed muscle fatigue recognition model with that of particle swarm optimization support vector machine (PSO-SVM) and convolutional neural network (CNN). The results showed that the new wavelet threshold function had better denoising performance than hard and soft threshold functions. The accuracy of LSTM network model in identifying muscle fatigue was 4.89% and 2.47% higher than that of PSO-SVM and CNN, respectively. The sEMG signal denoising method and muscle fatigue recognition model proposed in this paper have important implications for monitoring muscle fatigue during rehabilitation training and exercise.
Electromyography ; Memory, Short-Term ; Muscle Fatigue ; Neural Networks, Computer ; Recognition, Psychology