Case report of thrombotic thrombocytopenic purpura during pregnancy with a review of the relevant research.

RATIONALE: Thrombotic thrombocytopenic purpura (TTP) is a syndrome characterized by widespread blood vessel clotting and bleeding. It can affect individuals of any age but is more commonly observed in females, particularly during pregnancy. Pregnancy combined with TTP is a critical and rapidly progressing condition that is often misdiagnosed as an obstetric disorder like severe preeclampsia or HELLP syndrome. To deepen the understanding of TTP during pregnancy with the help of a clinical case. PATIENT CONCERNS: A 20-year-old patient, is pregnancy 1 birth 0, 32 weeks dated by her last menstrual period, presented chest tightness, and shortness of breath after physical activity for 3 days. DIAGNOSES: TTP. INTERVENTIONS: At present, there are no preventive measures. Timely diagnosis and treatment are useful. Plasma exchange and treat to the patient hinder autoantibodies, such as gamma globulin, methylprednisolone, rituximab, and cyclosporine were effective. OUTCOMES: The patient exhibited stable vital signs, normal examination results, and experienced no complications. We continued to monitor her progress after she was discharged. LESSONS SUBSECTIONS: The acute onset of TTP is often associated with pregnancy, as it is a triggering factor. Timely identification, accurate diagnosis, and a comprehensive treatment approach involving plasma exchange, immunosuppressants, and the termination of pregnancy can lead to remission and a favorable outlook for the majority of patients.

Altered Functional Connectivity of the Multisensory Vestibular Cortex in Patients with Chronic Unilateral Vestibulopathy.

Background: Chronic unilateral vestibulopathy (CUVP) is a common chronic vestibular syndrome; the mechanisms of central vestibular compensation in CUVP are rarely studied. Methods: This study analyzed the data of 18 patients with CUVP and 18 healthy controls (HCs) and used seed-based functional connectivity (FC) and voxel-mirrored homotopic connectivity (VMHC) analyses to explore the FC alterations. Results: Compared with HCs, patients with CUVP showed decreased FC between the left dorsolateral superior frontal gyrus and the right hippocampus; the left middle frontal gyrus and the right posterior cingulate gyrus, the right hippocampus, the right parahippocampal gyrus. There is also a reduction in FC between the left and right insula. There was enhanced FC between the left supplementary motor area (SMA) and the bilateral superior occipital gyrus, the left hippocampus and the left posterior cingulate gyrus, as well as a the left middle temporal gyrus (p = 0.03). Additionally,VMHC was decreased between the bilateral medial superior frontal gyrus, the bilateral precentral gyrus, and the bilateral postcentral gyrus (p = 0.001). The zVMHC values in the bilateral superior frontal gyrus and the precentral gyrus were both negatively corrected with the Dizziness Handicap Inventory (DHI) score.well as Conclusions: Altered FC in regions of bilateral multisensory vestibular cortex existed in patients with CUVP. Decreased FC and VMHC in the bilateral multisensory vestibular cortex may affect vestibular information integration, thus affecting self-motion perception, spatial orientation, and postural control.

Explainable Learning-Based Timeout Optimization for Accurate and Efficient Elephant Flow Prediction in SDNs.

Accurately and efficiently predicting elephant flows (elephants) is crucial for optimizing network performance and resource utilization. Current prediction approaches for software-defined networks (SDNs) typically rely on complete traffic and statistics moving from switches to controllers. This leads to an extra control channel bandwidth occupation and network delay. To address this issue, this paper proposes a prediction strategy based on incomplete traffic that is sampled by the timeouts for the installation or reactivation of flow entries. The strategy involves assigning a very short hard timeout (Tinitial) to flow entries and then increasing it at a rate of r until flows are identified as elephants or out of their lifespans. Predicted elephants are switched to an idle timeout of 5 s. Logistic regression is used to model elephants based on a complete dataset. Bayesian optimization is then used to tune the trained model Tinitial and r over the incomplete dataset. The process of feature selection, model learning, and optimization is explained. An extensive evaluation shows that the proposed approach can achieve over 90% generalization accuracy over 7 different datasets, including campus, backbone, and the Internet of Things (IoT). Elephants can be correctly predicted for about half of their lifetime. The proposed approach can significantly reduce the controller-switch interaction in campus and IoT networks, although packet completion approaches may need to be applied in networks with a short mean packet inter-arrival time.

Nomogram to predict severe retinopathy of prematurity in Southeast China.

AIM: To define the predictive factors of severe retinopathy of prematurity (ROP) and develop a nomogram for predicting severe ROP in southeast China. METHODS: Totally 554 infants diagnosed with ROP hospitalized in the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University and hospitalized in Taizhou Women and Children's Hospital were included. Clinical data and 43 candidate predictive factors of ROP infants were collected retrospectively. Logistic regression model was used to identify predictive factors of severe ROP and to propose a nomogram for individual risk prediction, which was compared with WINROP model and Digirop-Birth model. RESULTS: Infants from the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University (n=478) were randomly allocated into training (n=402) and internal validation group (n=76). Infants from Taizhou Women and Children's Hospital were set as external validation group (n=76). Severe ROP were found in 52 of 402 infants, 12 of 76 infants, and 7 of 76 infants in training group, internal validation group, and external validation group, respectively. Birth weight [odds ratio (OR), 0.997; 95% confidence interval (CI), 0.996-0.999; P<0.001], multiple births (OR, 1.885; 95%CI, 1.013-3.506; P=0.045), and non-invasive ventilation (OR, 0.288; 95%CI, 0.146-0.570; P<0.001) were identified as predictive factors for the prediction of severe ROP, by univariate analysis and multivariate analysis. For predicting severe ROP based on the internal validation group, the areas under receiver operating characteristic curve (AUC) was 78.1 (95%CI, 64.2-92.0) for the nomogram, 32.9 (95%CI, 15.3-50.5) for WINROP model, 70.2 (95%CI, 55.8-84.6) for Digirop-Birth model. In external validation group, AUC of the nomogram was also higher than that of WINROP model and Digirop-Birth model (80.2 versus 51.1 and 63.4). The decision curve analysis of the nomogram demonstrated better clinical efficacy than that of WINROP model and Digirop-Birth model. The calibration curves demonstrated a good consistency between the actual severe ROP incidence and the predicted probability. CONCLUSION: Birth weight, multiple births, and non-invasive ventilation are independent predictors of severe ROP. The nomogram has a good ability to predict severe ROP and performed well on internal validation and external validation in southeast China.

Research on Classification Algorithm of Silicon Single-Crystal Growth Temperature Gradient Trend Based on Multi-Level Feature Fusion.

In the process of silicon single-crystal preparation, the timely identification and adjustment of abnormal conditions are crucial. Failure to promptly detect and resolve issues may result in a substandard silicon crystal product quality or even crystal pulling failure. Therefore, the early identification of abnormal furnace conditions is essential for ensuring the preparation of perfect silicon single crystals. Additionally, since the thermal field is the fundamental driving force for stable crystal growth and the primary assurance of crystal quality, this paper proposes a silicon single-crystal growth temperature gradient trend classification algorithm based on multi-level feature fusion. The aim is to accurately identify temperature gradient changes during silicon crystal growth, in order to promptly react to early growth failures and ensure the stable growth of high-quality silicon single crystals to meet industrial production requirements. The algorithm first divides the temperature gradient trend into reasonable categories based on expert knowledge and qualitative analysis methods. Then, it fuses the original features of actual production data, shallow features extracted based on statistical information, and deep features extracted through deep learning. During the fusion process, the algorithm considers the impact of different features on the target variable and calculates mutual information based on the difference between information entropy and conditional entropy, ultimately using mutual information for feature weighting. Subsequently, the fused multi-level feature vectors and their corresponding trend labels are input into a Deep Belief Network (DBN) model to capture process dynamics and classify trend changes. Finally, the experimental results demonstrate that the proposed algorithm can effectively predict the changing trend of thermal field temperature gradients. The introduction of this algorithm will help improve the accuracy of fault trend prediction in silicon single-crystal preparation, thereby minimizing product quality issues and production interruptions caused by abnormal conditions.

An ethanolic extract of Arctium lappa L. leaves ameliorates experimental atherosclerosis by modulating lipid metabolism and inflammatory responses through PI3K/Akt and NF-κB singnaling pathways.

ETHNOPHARMACOLOGICAL RELEVANCE: Atherosclerosis (AS), a lipid-induced inflammatory condition of the arteries, is a primary contributor to atherosclerotic cardiovascular diseases including stroke. Arctium lappa L. leaf (ALL), an edible and medicinal herb in China, has been documented and commonly used for treating stroke since the ancient times. However, the elucidations on its anti-AS effects and molecular mechanism remain insufficient. AIM OF THE STUDY: To investigate the AS-ameliorating effects and the underlying mechanism of action of an ethanolic extract of leaves of Arctium lappa L. (ALLE). MATERIALS AND METHODS: ALLE was reflux extracted using with 70% ethanol. An HPLC method was established to monitor the quality of ALLE. High fat diet (HFD) and vitamin D3-induced experimental AS in rats were used to determine the in vivo effects; and oxidized low-density lipoprotein-induced RAW264.7 macrophage foam cells were used for in vitro assays. Simvatatin was used as positive control. Biochemical assays were implemented to ascertain the secretions of lipids and pro-inflammatory mediators. Haematoxylin-eosin (H&E) and Oil red O stains were employed to assess histopathological alterations and lipid accumulation conditions, respectively. CCK-8 assays were used to measure cytotoxicity. Immunoblotting assay was conducted to measure protein levels. RESULTS: ALLE treatment significantly ameliorated lipid deposition and histological abnormalities of aortas and livers in AS rats; improved the imbalances of serum lipids including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C); notably attenuated serum concentrations of inflammation-associated cytokines/molecules including TNF-α, IL-6, IL-1ß, VCAM-1, ICAM-1and MMP-9. Mechanistic studies demonstrated that ALLE suppressed the phosphorylation/activation of PI3K, Akt and NF-κB in AS rat aortas and in cultured foam cells. Additionally, the PI3K agonist 740Y-P notably reversed the in vitro inhibitory effects of ALLE on lipid deposition, productions of TC, TNF-α and IL-6, and protein levels of molecules of PI3K/Akt and NF-κB singnaling pathways. CONCLUSIONS: ALLE ameliorates HFD- and vitamin D3-induced experimental AS by modulating lipid metabolism and inflammatory responses, and underlying mechanisms involves inhibition of the PI3K/Akt and NF-κB singnaling pathways. The findings of this study provide scientific justifications for the traditional application of ALL in managing atherosclerotic diseases.

SREBP1 deficiency diminishes glutamate-mediated HT22 cell damage and hippocampal neuronal pyroptosis induced by status epilepticus.

Status epilepticus (SE) is a life-threatening disorder that can result in death or severe brain damage, and there is a substantial body of evidence suggesting a strong association between pyroptosis and SE. Sterol regulatory element binding protein 1 (SREBP1) is a significant transcription factor participating in both lipid homeostasis and glucose metabolism. However, the function of SREBP1 in pyroptosis during SE remains unknown. In this study, we established a SE rat model by intraperitoneal injection of lithium chloride and pilocarpine in vivo. Additionally, we treated HT22 hippocampal cells with glutamate to create neuronal injury models in vitro. Our results demonstrated a significant induction of SREBP1, inflammasomes, and pyroptosis in the hippocampus of SE rats and glutamate-treated HT22 cells. Moreover, we found that SREBP1 is regulated by the mTOR signaling pathway, and inhibiting mTOR signaling contributed to the amelioration of SE-induced hippocampal neuron pyroptosis, accompanied by a reduction in SREBP1 expression. Furthermore, we conducted siRNA-mediated knockdown of SREBP1 in HT22 cells and observed a significant reversal of glutamate-induced cell death, activation of inflammasomes, and pyroptosis. Importantly, our confocal immunofluorescence analysis revealed the co-localization of SREBP1 and NLRP1. In conclusion, our findings suggest that deficiency of SREBP1 attenuates glutamate-induced HT22 cell injury and hippocampal neuronal pyroptosis in rats following SE. Targeting SREBP1 may hold promise as a therapeutic strategy for SE.

The controllable and efficient synthesis of two-dimensional metal-organic framework nanosheets for heterogeneous catalysis.

Two-dimensional (2D) MOFs exhibit unique periodicity in surface structures and thus have attracted much interest in the fields of catalysis, energy, and sensors. However, the expanded production scale of 2D MOFs had remained a great challenge in most previous studies. Herein, a controllable and efficient crystallization method for synthesizing 2D MOF nanosheets using high-gravity reactive precipitation is proposed, significantly improving heterogeneous catalysis efficiency. The two-dimensional ZIF-L nanosheets prepared in a rotating packed bed (RPB) reactor show a smaller lateral and lamellar thickness and a higher BET surface area compared to ZIF-L nanosheets prepared in a conventional stirred tank reactor (STR), with a greatly shortened reaction time. Applying the ZIF-L-RPB nanosheets as a catalyst, the catalytic Knoevenagel condensation as a probe reaction displays a high conversion rate of benzaldehyde (99.3%) within 2 h at room temperature, greatly exceeding that displayed by ZIF-L-STR and other reported catalysts. Furthermore, ZIL-L-RPB nanosheets of only 0.2 wt% enhanced the catalytic activity for the glycolysis of poly(ethylene terephthalate) (PET) with a PET conversion and a monomer yield of 90% in a short period of 15 min at 195 °C and almost completely depolymerized PET with a monomer yield of 94% in 30 min, which was far above that achieved by ZIL-L-STR. These results indicate the promising prospects of a high-gravity reactive precipitation strategy with precise size control in an economical way to prepare high-activity 2D MOF nanosheets for a wide range of heterogeneous catalysis.

Simulated in vitro gastrointestinal digestion of ß-lactoglobulin treated by ultrasound: Detection of peptides profile and the antioxidant activity.

The influence of ultrasonic pretreatment on the release and antioxidant activity of potential antioxidant peptides after in-vitro simulated gastrointestinal digestion of ß-lactoglobulin (BLG) were measured by HPLC-MS/MS, chemical and cellular-based assays. The gastrointestinal digest was fractionated into four fractions by Sephadex G-25 gel filtration column, and fractions showed a considerable ABTS·+ scavenging ability. The fraction with the strongest antioxidant activity was produced by ultrasonicated BLG after gastrointestinal digestion, which relies on ultrasonic-promoted proteolysis to produce many small-molecule antioxidant peptides. The best active fraction has better cellular antioxidant activity and protection of H2O2-induced oxidative HepG2 cell model, which significantly increases the activities of antioxidant enzyme, and is concentration-dependent. HPLC-MS/MS analysis showed that there were more potential antioxidant peptides in the best active fraction. This research will provide a basis for the further application of ultrasonic in dairy products, which can promote the release of more potential antioxidant peptides-derived from gastrointestinal digestion.

A comprehensive evaluation of circ_0065214/ miR-188-3p/GPNMB axis in breast cancer.

CircRNAs are involved in multiple aspects during carcinogenesis, including tumorigenesis, vascularization, apoptosis and others. Exploring the role of circRNAs in breast cancer (BC) enables us to understand the development mechanism of BC more comprehensively. Here, we screened out and verified an up-regulated circRNA in BC from GEO data. Quantitative Real-time PCR (qRT-PCR) showed that circ_0065214 had a high expression level in BC patients. Besides, circ_0065214 had good diagnostic value in BC serum, and the area under the diagnostic curve, sensitivity and specificity were 0.78, 0.63 and 0.85, respectively. The combined application of circ_0065214 with CEA and CA-153 can further improve the diagnostic efficiency. The knockdown of circ_0065214 in vivo and in vitro inhibited the proliferation, migration and invasion of BC, but promoted autophagy. At last, dual-luciferase reporter assay and rescue assays revealed that circ_0065214 acted as a decoy to adsorb miR-188-3p, and then relieved the repressive effect of miR-188-3p on its target GPNMB. Our results demonstrated that circ_0065214 regulated the expression of GPNMB by competitively binding to miR-188-3p, thus promoting the proliferation, migration and invasion of breast cancer cells and inhibiting autophagy. These findings provided an original therapeutic strategy for BC.

[Two new phenylpropanoids from wine-processed Corni Fructus].

Six compounds were isolated from aqueous extract of wine-processed Corni Fructus through silica gel, ODS column chromatography, Sephadex LH-20 gel column chromatography, reverse phase preparative HPLC and other chromatographic separation technologies. Their structures were identified with multiple spectroscopical methods including HR-ESI-MS, UV, IR, NMR and ECD and so on. Their structures were established as pinoresinoside B(1), cornusgallicacid A(2),(+)-isolariciresinol-9'-O-ß-glucopyranoside(3),(-)-isolariciresinol 3α-O-ß-D-glucopyranoside(4),(7R,8S)-dihydrodehydrodiconiferyl alcohol 9-O-ß-D-glucopyranoside(5), and(-)-seco isolariciresinol-9'-O-ß-D-glucopyranoside(6). Among them, compounds 1 and 2 were two new compounds. The biological activity evaluation results showed that compounds 2 and 6 had strong DPPH free radical scavenging ability, with EC_(50) values of(4.18±1.96) and(21.45±1.19) µmol·L~(-1), respectively. Compounds 1 and 2 had protective effects on H_2O_2-induced oxidative damage in NRK-52E cells in a dose-dependent manner, and the cell survival rate of compound 2 at 100 µmol·L~(-1) was 96.09%±1.77%.

Analysis of Pediatric Surgical Disease Spectrum in a Tertiary Hospital.

Objective: To analyze the main disease composition of children hospitalized in pediatric surgery, explore the correlation between disease types and gender, and provide a reference for hospital management and pediatric disease prevention. Methods: Using ICD-10 codes as the classification standard for disease diagnosis, a statistical analysis was conducted on the disease composition of children hospitalized in the Pediatric Surgery Department of the Second Affiliated Hospital of Xi'an Jiaotong University from January 1, 2015, to December 31, 2015, followed by the establishment of a clinical database. A total of 1647 male patients and 817 female patients were enrolled in the study, resulting in a male-to-female ratio of 2:1. The age range of the patients spanned from 0 to 18 years, with a marked imbalance in patient distribution among the various age groups. Statistical analysis was conducted using SPSS version 18.0 software. A chi-square test was performed to analyze the differences in the composition of disease systems and the composition of major diseases in terms of sex and age. Results: Pediatric patients were admitted with complex and diverse diseases in 2015, involving 15 systems of the human body and 400 diseases. Digestive system diseases, tumors, congenital malformations, and genitourinary system diseases were the top four diseases accounting for 83.5% of all pediatric cases. 561 patients were aged 0 years, accounting for 22.3% of all cases, while 1,801 patients fell within the 0-5 years age group, constituting 73.1% of the total. The differences in disease system composition among different sex and age groups of pediatric surgical inpatients were statistically significant (P = .001). There are statistically significant differences in the length of hospital stay and hospitalization costs among pediatric surgical inpatients in different age groups (P = .001). Conclusion: To strengthen the diagnosis and treatment of pediatric surgical diseases, we should strengthen the construction of key departments, optimize the consultation process according to the characteristics of children's disease spectrum, and improve the level of diagnosis and treatment of pediatric surgical diseases.

[A new norsesquiterpenoid from Arctium lappa leaves].

Chemical constituents were isolated and purified from ethyl acetate fraction of Arctium lappa leaves by silica gel, ODS, MCI, and Sephadex LH-20 column chromatography. Their structures were identified with multiple spectroscopical methods including NMR, MS, IR, UV, and X-ray diffraction combined with literature data. Twenty compounds(1-20) were identified and their structures were determined as arctanol(1), citroside A(2), melitensin 15-O-ß-D-glucoside(3), 11ß,13-dihydroonopordopicrin(4), 11ß,13-dihydrosalonitenolide(5), 8α-hydroxy-ß-eudesmol(6), syringin(7), dihydrosyringin(8), 3,4,3',4'-tetrahydroxy-δ-truxinate(9),(+)-pinoresinol(10), phillygenin(11), syringaresinol(12), kaeperferol(13), quercetin(14), luteolin(15), hyperin(16), 4,5-O-dicaffeoylquinic acid(17), 1H-indole-3-carboxaldehyde(18), benzyl-ß-D-glucopyranoside(19), and N-(2'-phenylethyl) isobutyramide(20). Among them, compound 1 is a new norsesquiterpenoid, and compounds 2-5, 7-8, and 18-20 are isolated from this plant for the first time.

A case report of the treatment and care of decubitus ulcers in macaques with spinal cord injury.

Decubitus ulcers are a common spinal cord injury (SCI) complication that puts patients' lives in danger and has emerged as a more prevalent issue in modern clinical rehabilitation and care. Decubitus ulcers in humans can currently be treated in a number of different ways, but there are fewer studies on how to treat and care for decubitus ulcers in macaques. To treat a 20-year-old adult male macaque monkey with SCI and decubitus ulcers after a quarter transection of the thoracic spinal cord, a number of scientific care procedures and pharmaceutical treatments, such as dietary changes and topical or intravenous administration of medication, were carried out and continuously monitored in real-time. In comparison to the untreated group, we observed a significant improvement in decubitus wound healing in the macaques. In this article, we provide a good protocol for decubitus ulcer care after SCI and suggest that future experimental animal modeling needs to focus on issues such as care for postoperative complications.

Correlation Between Hemoglobin Levels and Polycystic Ovary Syndrome Metabolic Disorder.

Objective: The purpose of this study was to explore the relationship between hemoglobin levels and metabolic disorders in patients with PCOS. Methods: A total of 573 patients were selected, based on the hemoglobin level; 342 patients with PCOS were divided into two groups as follows: Group A (normal Hb group, n = 269) and Group B (high Hb group, n = 73); 231 non-PCOS patients were divided into two groups as follows: Group C (normal Hb group, n = 199), and Group D (high Hb group, n = 32). The general information, glucose and lipid metabolism indicators, and uric acid levels of all patients were compiled for data analysis. Results: (1) Hb, HGB concentration in mean red blood cells and RDW in PCOS patients were higher than those in non-PCOS patients, and MCV was lower than that in non-PCOS patients (P < 0.05); (2) Compared with Group A, patients in Group B had higher BMI, Hb, 2-hPG, FINS, 2-hINS, HOMA-IR, LDL-C, and uric acid levels while the QUICKI was lower; in Group C, the age, FSH, HDL-C, and LDL-C were higher, and AMH, BMI, T, TG, and uric acid level were lower (P<0.05); compared with Group D, AMH, BMI, FINS, HOMA-IR, TG, uric acid level increased, while age, FSH, and QUICKI decreased in Group B; and Hb and T decreased in Group C (P<0.05); (3) Pearson's correlation analysis indicated that Hb in PCOS patients was positively correlated with BMI, FPG, 2-hPG, FINS, 2-hINS, and HOMA-IR, and negatively correlated with the QUICKI (P<0.05); (4) Multi-factor logistic regression analysis suggested that the high Hb level in PCOS patients was an independent risk factor of IR (P<0.05). Conclusion: Hb level in patients with PCOS was associated with BMI and glucose metabolism indicators; a high Hb level may be an independent risk factor for IR.

Can China's vehicular emissions regulation reduce air pollution?-a quasi-natural experiment based on the latest National Vehicular Emissions Standard (stage-VI).

The existing evidence on the environmental effects of vehicular emissions regulation almost comes from developed countries, but the effectiveness of this policy tool in developing countries, especially in China, remains unclear. This study, for the first time, examined the mitigating effects of China's vehicular emissions regulation on air pollution at the prefecture level cities, by using the latest implementation of China's National Vehicular Emissions Standard VI (CHINA-VI) as a quasi-natural experimental process of policy shocks. To this end, monthly data from 2018 to 2020 was applied to construct a difference-in-differences (DID) model. The results showed that pilot cities' air quality index (AQI) significantly decreased by 4.74 compared to non-pilot cities after the implementation of CHINA-VI. Also, the concentration of PM2.5, PM10, and O3 has decreased by 3.6 µg∕m3, 6.4 µg∕m3, and 3.0 µg∕m3, respectively, which means the new China's vehicular emissions regulation has comprehensively improved air quality. The findings are still valid after a series of robustness tests using different estimation methods such as PSM-DID and IV-2SLS. In addition, we also found heterogeneity in the environmental performance of CHINA-VI across cities. Specifically, cities with lower levels of green finance development and public environmental concern showed a greater emissions reduction effect, but smart cities showed a greater emissions reduction effect than non-smart cities.

Application of national early warning score in assessing postoperative illness severity in elderly patients with gastrointestinal illnesses.

BACKGROUND: Population aging is a social problem that is being faced in most countries. OBJECTIVE: To apply the National Early Warning Score (NEWS) for an early warning on the vital signs and consciousness of elderly patients who are hospitalized in the gastrointestinal surgical department and to provide a reference for early detection of changes in illness severity in elderly patients by studying the correlation between NEWS value and changes in illness severity. METHODS: We enrolled 528 elderly patients who were hospitalized in the gastrointestinal surgical department of a tertiary grade A hospital in Guizhou Province between June 2020 and May 2021, to analyze how NEWS max value correlates with illness severity and obtain the optimal NEWS cutoff value for both potentially critically ill and critically ill elderly patients using the receiver operating characteristic (ROC) curve. RESULTS: There were statistically significant differences in NEWS values between elderly patients with various illness severities (P< 0.05). NEWS values correlated positively with illness severity (r= 0.605, P< 0.001). Based on the ROC curve, early warning trigger values for NEWS to identify potentially critically ill, critically ill and terminally ill elderly patients were 6, 7 and 8, respectively. The area under the curve (AUC) for potentially critically ill, critically ill and terminally ill elderly patients was 0.907, 0.921 and 0.939, respectively. NEWS performed better in detecting patient illness severity than Modified Early Warning Score (MEWS) in AUC, sensitivity, specificity, and Youden's index, with statistically significant differences (P< 0.05). CONCLUSION: An early warning on the vital signs and consciousness of hospitalized elderly patients using NEWS can facilitate advanced detection of changes in illness severity of elderly patients by medical staff and enable timely treatment, thus significantly lowering the risks of illness deterioration.

Acute Hepatitis E Induced the First Episode of Immune-Mediated Thrombotic Thrombocytopenic Purpura: The First Case Report.

Purpose: Hepatitis E virus infection mainly presents with liver-related symptoms, and multiple studies have shown that hepatitis E virus infection can also induce extrahepatic-related symptoms. Thrombotic thrombocytopenic purpura is an uncommon and fatal thrombotic microangiopathy characterized by severe thrombocytopenia, organ damage, and microangiopathic haemolytic anaemia. We report the first case in which acute hepatitis E induced the first episode of immune-mediated thrombotic thrombocytopenic purpura. Patients and Methods: A 53-year-old male was admitted to our emergency department with fever, thrombocytopenia, and abnormal liver function. Laboratory tests revealed significant bilirubin, AST, and ALT elevations, renal impairment, positive anti-HEV IgM and IgG antibody results, schistocytes on the blood smear, 0% ADAMTS-13 activity, and positive ADAMTS13 inhibitor results. He was diagnosed with acute hepatitis E, which induced the first episode of immune-mediated thrombotic thrombocytopenic purpura. Results: After receiving treatment with plasmapheresis, glucocorticoid medication, rituximab, and other supportive medicines, the patient's physiological circumstances and laboratory indicators improved, and a 4-month follow-up revealed no abnormalities. Conclusion: This is a unique case report of an acute hepatitis E-induced immune-mediated thrombotic thrombocytopenic purpura initial episode. This case report offers evidence that hepatitis E virus infection can cause thrombotic thrombocytopenic purpura. In patients with abnormal liver function and thrombocytopenia, we advise screening for hepatitis E or thrombotic thrombocytopenic purpura.