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Purpose To observe and compare the dynamic data changes of the severe maternal in ICU, so as to provide experience for increasingly complicated maternity cure. Materials and Methods Observational study was adopted. The characteristics of severe maternal in ICU during the periods from January 1, 2009 to December 31, 2016 (stage 1) and from January 1, 2017 to June 30, 2022 (stage 2) was collected for review. Results Compared with stage 1, the ratios of comorbidities (67.1%), irregular antenatal care (44.7%), vaginal (10.6%), and hysterectomy (17.7%) among the severe maternal in stage 2 were increased; Among the main reason for the patient admitted to the ICU, the ratio of nonobstetric factors rose (40.2%), including pancreatitis (14.1%) and pulmonary arterial hypertension (4.0%), the ratios of which increased; In obstetric factors, the ratio of postpartum hemorrhage (47.6%) rose, including placenta previa (32.9%) ; the ratio of pregnancy-induced hypertension (39.5%) dropped, while that of HEELP syndrome (58.6%) rose; The ratios of patients combined scarred uterus (52.1%). Conclusion Clinical features of the severe maternal are more complex, diverse and serious. It is required to strengthen the management of the multidisciplinary team dominated by the ICU to improve the level of severe maternal cure.

To explore the effect of setting up an internal-cross disciplinary team (ICDT) in the intensive care unit (ICU) on a new model of overall treatment for patients with chronic critical illness (CCI).A 60-year-old male patient with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) admitted to ICU in the Second Affiliated Hospital of Fujian Medical University was introduced. The role of ICDT composed of physicians, nurses, respiratory therapists, physiotherapists, clinical dietitians and patients' family members in ventilator withdrawal and super-early rehabilitation was analyzed in this case.The patient was diagnosed as AECOPD, type II aspiration penumonia respiratory failure, septic shock. The ICDT in ICU carried out early rehabilitation treatment for the patient on the basis of traditional infection control and supportive treatment. Under the care of the ICDT, peripheral blood white blood cell count (WBC), neutrophil count (NEU), procalcitonin (PCT), arterial partial pressure of carbon dioxide (PaCOICDT cooperation is very important for monitoring and treatment of CCI patients, which is beneficial to the super-early rehabilitation and prognosis improvement of critically ill patients.

Objective: To explore the application effect and nursing strategy of comprehensive safety management process in CT examination of ICU patients with tracheal incubation and general tuberculosis. Methods: A total of 52 patients with tracheal incubation and general pulmonary tuberculosis who underwent CT examination in our hospital were selected as the research objects, and they were divided into control group and observation group according to the random number table method, with 26 cases in each group. The control group adopted the traditional nursing mode, and the observation group applied the integrated safety management process based on the control group. The general conditions, nursing satisfaction, comfort, compliance behavior, and anxiety scores of the two groups during the CT examination were compared. Results: The change rate of CT vital signs in the observation group (19.23%) was significantly lower than that in the control group (46.15%), and the scan completion rate (100.00%) was significantly higher than that in the control group (84.62%). The satisfaction score and comfort score of the observation group after inspection were significantly higher than those of the control group, and the differences were statistically significant (P < 0.05). There was no significant difference in the anxiety scores between the two groups of patients before the examination (P > 0.05); the anxiety scores of the two groups after the examination were significantly lower than those before the examination; the anxiety score of the observation group after the examination was significantly lower than that of the control group. There was statistical significance (P < 0.05). The Grade 1 coordination rate in the observation group (69.23%) was significantly higher than that in the control group (57.65%), and the difference was statistically significant (P < 0.05). Conclusions: The combined application of comprehensive safety management procedures in CT examination of ICU tracheal intubation patients can effectively improve the patient's nursing satisfaction, comfort, safety and compliance behavior, and improve patient anxiety, which is worthy of clinical promotion and application.

Objective: In order to shorten the time of diagnosis and reduce the risk of examination for patients with severe pulmonary infection, the inspection process of patients with severe pulmonary infection is managed in a cluster. Methods: We design and make "assistance bed," optimize the inspection process, and compare the total time of inspection and the number of escorts for patients with severe pulmonary infection in the "assistance bed" and traditional inspection groups. We statistically compiled the number of complications, and patient satisfaction, and compare the CT examination of the two groups of patients. Patients surveyed included those contacted with lobar pneumonia, lobular pneumonia, and viral pneumonia. Results: The "assistance bed" group was significantly shorter than the traditional examination group in the total time to go out (16.5 ± 1.4 min vs. 28.1 ± 2.6 min, P < 0.05), and the number of complications was significantly less than the traditional group (4 times 0 times). (P <0.05), which significantly improved the satisfaction of patients' families (78.4% vs. 97.3%, P <0.05), and the CT examination of the patients was also better than the traditional group. The differences were statistically significant, and the number of escorts going out could be reduced by 1 compared with the traditional group. Conclusions: The use of "assistance bed" for transportation of patients with severe pulmonary infection and the centralized management of the inspection process are beneficial to reducing the time of going out for inspection, reducing complications, reducing the number of transport escorts and improving patient satisfaction.

OBJECTIVE To verify whether Scheuermann's disease (SD) is a risk factor for patients with recurrent lumbar disc herniation (rLDH) than in patients without recurrence. STUDY DESIGN Case-control study. PLACE AND DURATION OF STUDY Department of Orthopaedics, Yantaishan Hospital, China, from December 2016 to September 2019. METHODOLOGY The demographics (age, gender, body mass index [BMI], alcohol abuse, and current smoking), diabetes mellitus, and radiological data (affected levels, herniated side, herniation type, Pfirrmann grade, and the presence of SD) of 602 patients were retrospectively analysed, who underwent surgery for symptomatic LDH from December 2016 to August 2018. They were underwent one-year follow-up and were divided into LDH and rLDH groups. Both typical and atypical SD criteria were used to diagnose SD. Independent-sample t-test was used to analyse the role of age and BMI in both groups, and the Chi-square test was conducted to analyse other parameters. Logistic regression analysis was performed to evaluate various factors. RESULTS There was a significant difference in age (p=0.026), BMI (p=0.007), current smoking (p=0.001), and SD (p

Acute kidney injury (AKI) is one of the most severe consequences of kidney injury, and it will also cause or aggravate the complications by the fast decline of kidney excretory function. Accurate AKI prediction, including the AKI case, AKI stage, and AKI onset time interval, can provide adequate support for effective interventions. Besides, discovering how the medical features affect the AKI result may also provide supporting information for disease treatment. An attention-based temporal neural network approach was employed in this study for AKI prediction and for the analysis of the impact of medical features from temporal electronic health record (EHR) data of patients before AKI diagnosis. We used the publicly available dataset provided by the Medical Information Mart for Intensive Care (MIMIC) for model training, validation, and testing, and then the model was applied in clinical practice. The improvement of AKI case prediction is around 5% AUC (area under the receiver operating characteristic curve), and the AUC value of AKI stage prediction on AKI stage 3 is over 82%. We also analyzed the data by two steps: the associations between the medical features and the AKI case (positive or inverse) and the extent of the impact of medical features on AKI prediction result. It shows that features, such as lactate, glucose, creatinine, blood urea nitrogen (BUN), prothrombin time (PT), and partial thromboplastin time (PTT), are positively associated with the AKI case, while there are inverse associations between the AKI case and features such as platelet, hemoglobin, hematocrit, urine, and international normalized ratio (INR). The laboratory test features such as urine, glucose, creatinine, sodium, and blood urea nitrogen and the medication features such as nonsteroidal anti-inflammatory drugs, agents acting on the renin–angiotensin system, and lipid-lowering medication were detected to have higher weights than other features in the proposed model, which may imply that these features have a great impact on the AKI case.

Safety concerns over bone marrow suppression and thrombocytopenia may inhibit the use of linezolid to treat intraabdominal infection (IAI). To evaluate the effectiveness, safety, and prognosis of linezolid in the treatment of severe IAI (SIAI). Patients were divided into a linezolid group and nonlinezolid group according to whether linezolid was prescribed. Subgroup analysis (thrombocytopenia treated with linezolid group (I), and thrombocytopenia treated with nonlinezolid group (II) also was performed. We evaluated the effectiveness of linezolid by analyzing the changes in white blood cells (WBC) and procalcitonin, evaluated safety by analyzing the changes in platelet counts, and evaluated patient outcomes by analyzing the length of hospital stay, the length of ICU stay, and the rates of clinical improvement. Sixty-six adult SIAI patients were treated with anti-gram-positive (G+) bacteria drugs for more than 7 days from January 1, 2014, to December 31, 2020. The length of hospital stay, the length of ICU stay, and the rates of clinical improvement were not significantly different between the linezolid group and nonlinezolid group. On the 15th day after anti-G + bacteria treatment, the WBC of the linezolid group was significantly lower than in the nonlinezolid group (9.00 ± 4.30 vs 13.1 ± 6.19, P.05). The time for a statistical difference in the decrease of procalcitonin in the linezolid group was earlier than in the nonlinezolid group (day 6 vs day 7, P.05). There was no statistically significant difference in the changes of platelet counts in the subgroup I (P.05), but compared with the baseline data (day 0), the time for the statistical difference in the increase of platelets in thrombocytopenia treated with linezolid group was earlier (day 5 vs day 6, P.05). There was no statistical difference in the changes of platelets in subgroup II (P.05). In the treatment of severe intraabdominal infection in a single-center, retrospective study, linezolid was not inferior to other antibiotics in patient clinical outcomes or seral WBC and procalcitonin values. Linezolid also induced no evident bone marrow suppression or thrombocytopenia. Linezolid is a good choice for treatment of SIAI.

With the increasing proportion of distributed generator (DG) in the distribution network, the method of applying DG to the fault recovery of the distribution network can not only maximize the use of DG, but also improve the stability of the system. This paper first established a mathematical model for power recovery with the goal of reducing the number of switching operations, the amount of power loss, and the loss after recovery. Then, a hierarchical islanding method was proposed to solve the problem that the main network cannot restore power supply completely. This method effectively combines the restoration of power from the main network and the operation of DG islands. The method not only makes full use of distributed power's resources, but also significantly improves the speed and performance of power restoration. Finally, the IEEE 33-node power distribution system was used for simulation experiments.

To investigate the diagnosis and treatment of children with parainfluenza pneumonia complicated with rhabdomyolysis syndrome and acute kidney injury (AKI).The clinical manifestations, laboratory and imaging examination results and diagnosis and treatment process of a child with parainfluenza pneumonia complicated with rhabdomyolysis syndrome and AKI admitted to the department of intensive medicine of the Second Affiliated Hospital of Fujian Medical University on July 14th, 2014 were retrospectively analyzed to provide experience and methods for the treatment of such patients.The patient, a Chinese 11-year-old boy, admitted to hospital with "sore throat, fever, and double lower limb pain for 2 days". The clinical manifestations were sore throat, fever, pain in both lower extremities, fatigue, and soy sauce urine. Limb muscle tenderness, bilateral lower limb was obvious. Laboratory examination showed that blood creatine kinase (CK), MB isoenzyme of creatine kinase (CK-MB), aspartate transaminase (AST), lactate dehydrogenase (LDH), α-hydroxybutyrate dehydrogenase (HBDH) and hematuria myoglobin (Mb) were significantly elevated, and blood parainfluenza viruses (1, 2, 3 types) was positive for immunoglobulin M (IgM) antibodies. Chest X-ray shown bronchial pneumonia in the right lower lung. Pneumonia with rhabdomyolysis syndrome was considered. Anti-infection, fluid hydration, alkalized urine, diuresis and other treatment was initially prescribed. However, the condition became worse, combined with secondary epilepsy, AKI, acute heart failure, transferred to the intensive care unit (ICU). The child was put on mechanical ventilation through oral tracheal intubation, continuous hemofiltration, anti-infection and anti-virus treatment. The child's condition gradually recovered, symptoms and signs disappeared, and finally he was discharged with full recovery.Children with parainfluenza pneumonia can induce rhabdomyolysis. If myalgia is progressively worsened and walking is difficult, we should be highly alert to the occurrence of rhabdomyolysis. And when soy sauce urine, hematuria were noticed, and blood CK, Mb increased significantly, rhabdomyolysis syndrome can be diagnosed. Once the diagnosis is established, rehydration, alkaline urine and diuresis should be carried out in a timely manner to increase myoglobin tubular excretion. Antiviral treatment can reduce the dissolution of striated muscles. If blood purification is needed, hemofiltration and/or plasma exchange can be selected.

Sepsis is a major threat with high mortality rate for critically ill patients. Response to pathogen infection by the host immune system is a key biological process involved in the onset and development of sepsis. Heterogeneous host genome variation, especially single nucleotide polymorphisms (SNPs), has long been suggested to contribute to differences in disease progression. However, the function of SNPs located in non-coding regions remains to be elucidated. Recently, m6A mRNA modification levels were revealed to differ at SNPs. As m6A is a crucial regulator of gene expression, these SNPs might control genes by changing the m6A level on mRNA. To investigate the potential role of m6A SNPs in sepsis, we integrated m6A-SNP and expression quantitative trait loci (eQTLs) data. Analysis revealed 15,720 m6A-cis-eQTLs and 381 m6A-trans-eQTLs associated with sepsis. We identified 1321 genes as locations of m6A-cis-eQTLs. These were enriched in platelet degranulation and Staphylococcus aureus infection pathways, which are vital for the pathophysiological process of sepsis. We conclude that m6A modification of mRNA plays a very important role in sepsis, with m6A-cis-eQTLs potentially having the most effect on individual variation in sepsis progression.

Distribution network reconstruction is important for the reliable operation of distribution network. This paper establishes a mathematical model by using random weight for multi-objective optimization. A new algorithm is proposed based on binary particle swarm optimization (BPSO) algorithm, which can quickly adjust topology and cut off load in limit state. The new algorithm improves the distribution network’s reliability with the advantages of lowest power loss, better load balance and highest power supply capacity. Finally, the performance of the proposed method is tested on IEEE 33-node power distribution system.

With the development of intelligent distribution network, power quality prediction is becoming more and more important. In this paper, the power quality prediction methods are studied and applied to a power grid. Firstly, on the basis of time series research, two mathematical models of ARIMA and BP neural network are derived and analyzed, and the corresponding power quality data prediction models are established. Then, the two models are applied to two datasets of different sizes to test and analyze their predictive effects. Based on the analysis and comparison of the prediction results, the improvement direction to further improve the prediction accuracy of the method is proposed.

Background The acute respiratory distress syndrome (ARDS) is a critical illness with high mortality and a worse prognosis. Mechanical ventilation (MV) is currently considered to be one of the most effective methods of treating ARDS. In this meta-analysis, we discussed the efficacy of airway pressure release ventilation (APRV) in treating ARDS. Methods Following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA), Ovid Medline, Embase, and PubMed were systematically searched with the keywords of "ARDS" and "APRV". The studies containing the treatment of APRV in ARDS were included. According to the MV protocol used in the studies, the comparison was undertaken between the APRV group vs low tidal volume (LTV) group and synchronized intermittent mandatory ventilation (SIMV) group. The relative risk (RR) and the standard mean difference with 95% confidence intervals (CI) were used for the comparison between groups. Results Fourteen studies with 2096 patients were included in the meta-analysis. The average increasing rate of PaO2/FiO2 was 75.4% in the APRV group vs 44.1% in the non-APRV group. No significant differences were found in mortality and duration of ICU stay between APRV vs LTV (P = .073 and P = .404) and APRV vs SIMV (P = .370 and P = .894). Conclusion The APRV protocol would have a higher increase in the PaO2/FiO2 ratio, which was a safe protocol with a compatible effect comparing to LTV and SIMV.