Distinguishable features of spontaneous speech in Alzheimer's clinical syndrome and healthy controls.

There is growing evidence that subtle changes in spontaneous speech may reflect early pathological changes in cognitive function. Recent work has found that lexical-semantic features of spontaneous speech predict cognitive dysfunction in individuals with mild cognitive impairment (MCI). The current study assessed whether Ostrand and Gunstad's (OG) lexical-semantic features extend to predicting cognitive status in a sample of individuals with Alzheimer's clinical syndrome (ACS) and healthy controls. Four additional (New) speech indices shown to be important in language processing research were also explored in this sample to extend prior work. Speech transcripts of the Cookie Theft Task from 81 individuals with ACS (Mage = 72.7 years, SD = 8.80, 70.4% female) and 61 healthy controls (HC) (Mage = 63.9 years, SD = 8.52, 62.3% female) from Dementia Bank were analyzed. Random forest and logistic machine learning techniques examined whether subject-level lexical-semantic features could be used to accurately discriminate those with ACS from HC. Results showed that logistic models with the New lexical-semantic features obtained good classification accuracy (78.4%), but the OG features had wider success across machine learning model types. In terms of sensitivity and specificity, the random forest model trained on the OG features was the most balanced. Findings from the current study suggest that features of spontaneous speech used to predict MCI may also distinguish between individuals with ACS and healthy controls. Future work should evaluate these lexical-semantic features in pre-clinical persons to further explore their potential to assist with early detection through speech analysis.

Clinical characteristics of suicidal behavior in first hospitalization and drug-naïve patients with major depressive disorder.

BACKGROUND: Major depressive disorder (MDD) is a major and common cause of suicide. The purpose of this article is to report the clinical characteristics and patterns of co-morbid suicidal behavior (SB) in first hospitalized and drug-naïve MDD patients. METHODS: A total of 345 patients with first hospitalization and drug-naïve MDD with SB were included in this study, while 183 patients without SB were included as a control group. We collected socio-demographic, general clinical data and common biochemical indicators of all participants and assessed their clinical symptoms. RESULTS: Compared to patients without SB, MDD with SB had more severe clinical symptoms and worse metabolic indicators. Duration of disease, depressive symptom scores, and thyroid stimulating hormone (TSH) levels was risk factors for SB and its number. CONCLUSIONS: MDD patients with SB suffered more severe clinical symptoms and worse metabolic indicators, and risk factors for SB in this population were identified, which may provide beneficial insight and reference for clinical prevention and intervention of SB in MDD patients.

[Construction of clinical efficacy evaluation system based on optimal clinical experience].

Evidence-based medicine plays an important role in promoting the scientific nature of clinical decision-making. Howe-ver, there is a problem where evidence derived from clinical research may not necessarily be applicable to individual patients. Evidence-based medicine has been introduced into the field of traditional Chinese medicine(TCM) for over 20 years, and although certain achievements have been made, the overall level of clinical research evidence based on the principles of evidence-based medicine in TCM is not high. The acceptance of TCM diagnosis and treatment guidelines developed based on evidence-based medicine methods is generally low. As revealed by the analysis of the problems in the application of evidence-based medicine in the field of TCM, it is found that there is a structural contradiction between clinical randomized controlled trial(RCT) of TCM and the characteristics of TCM clinical practice. They cannot comprehensively, objectively, and truthfully reflect the clinical efficacy and safety of TCM. Conducting clinical RCTs of TCM in pursuit of "evidence" actually means giving up the advantages of TCM in clinical treatment based on syndrome differentiation, prescription changes along with syndromes, and treatment in accordance with three categories of disease cause, which leads to sacrificing some clinical effectiveness of TCM. Based on the concept of evidence-based medicine, this article proposed the construction of "clinical syndrome-based medicine" based on the optimal clinical experience, which was suitable for the characteristics of TCM clinical practice. The key to clinical syndrome-based medicine is the optimal clinical experience, and the core elements of the optimal clinical experience are regularity and reproducibility. Real-world research methods are recommended as a reference for obtaining the optimal clinical experience. Clinical syndrome-based medicine, combining the characteristics of TCM clinical practice and incorporating the concept of evidence-based medicine, is the product of integrating TCM into evidence-based medicine. It is dedicated to improving the clinical efficacy of TCM along with evidence-based medicine.

Potential risk quantification from multiple biological factors via the inverse problem algorithm as an artificial intelligence tool in clinical diagnosis.

BACKGROUND: The inverse problem algorithm (IPA) uses mathematical calculations to estimate the expectation value of a specific index according to patient risk factor groups. The contributions of particular risk factors or their cross-interactions can be evaluated and ranked by their importance. OBJECTIVE: This paper quantified the potential risks from multiple biological factors by integrated case studies in clinical diagnosis via the IPA technique. Acting as artificial intelligence field component, this technique constructs a quantified expectation value from multiple patients' biological index series, e.g., the optimal trigger timing for CTA, a particular drug in blood concentration data, the risk for patients with clinical syndromes. METHODS: Common biological indices such as age, body surface area, mean artery pressure, and others are treated as risk factors upon their normalization to the range from -1.0 to +1.0, with a non-dimensional zero point 0.0 corresponding to the average risk factor index. The patients' quantified indices are re-arranged into a large data matrix. Next, the inverse and column matrices of the compromised numerical solution are constructed. RESULTS: This paper discusses quasi-Newton and Rosenbrock analyses performed via the STATISTICA program to solve the above inverse problem, yielding the specific expectation value in the form of a multiple-term nonlinear semi-empirical equation. The extensive background, including six previous publications of these authors' team on IPA, was comprehensively re-addressed and scrutinized, focusing on limitations, stumbling blocks, and validity range of the IPA approach as applied to various tasks of preventive medicine. Other key contributions of this study are detailed estimations of the effect of risk factors' coupling/cross-interactions on the IPA computations and the convergence rate of the derived semi-empirical equation viz. the final constant term. CONCLUSION: The main findings and practical recommendations are considered useful for preventive medicine tasks concerning potential risks of patients with various clinical syndromes.

The clinical application of optimized AT(N) classification in Alzheimer's clinical syndrome (ACS) and non-ACS conditions.

We aimed to assess the utility of AT(N) classification in clinical practice. We measured the cerebrospinal fluid levels of amyloid-ß (Aß) 42, Aß40, phosphorylated tau, total tau, and neurofilament light chain (NfL) in samples from 230 patients with Alzheimer's clinical syndrome (ACS) and 328 patients with non-ACS. The concordance of two A-markers (i.e., Aß42 alone and the Aß42/Aß40 ratio) was not significantly different between the ACS (87.4%) and non-ACS (74.1%) groups. However, the frequency of discordant cases with AAß42-alone+/AAß-ratio- was significantly higher in the non-ACS (23.8%) than in the ACS group (7.4%). The concordance of two N-markers (i.e., total tau and NfL) was 40.4% in the ACS group and 24.4% in the non-ACS group. In the ACS samples, the frequency of biological Alzheimer's disease (i.e., A+T+) in Ntau+ cases was 95% while that in NNfL+ cases was 65%. Reflecting Aß deposition and neurodegeneration more accurately, we recommend the use of AT(N) classification defined by cerebrospinal fluid AAß-ratioTNNfL in clinical practice.

Macroscopic Clinical Medication Pattern of Traditional Chinese Medicine for Esophageal Cancer in Recent Ten Years Based on Data Mining / 中国实验方剂学杂志

ObjectiveTo explore the macroscopic medication pattern of traditional Chinese medicine （TCM） in treating esophageal cancer （EC） and provide medication references for the clinical application of TCM in EC treatment. MethodRelevant literature on TCM treatment of EC was retrieved from three major Chinese databases： China National Knowledge Infrastructure （CNKI）， Wanfang Data， and VIP. Information about Chinese herbal medicines was entered into Excel to establish a prescription database for EC. The data were standardized， summarized， and subjected to frequency analysis， association rules， and cluster analysis of medication in the prescriptions. Based on the TCM classification of EC syndromes， clinical indications corresponding to each syndrome were identified， and high-frequency drugs and drug pairs were analyzed correspondingly with syndromes. ResultA total of 136 prescriptions containing 240 Chinese herbal medicines were screened， with a cumulative frequency of 1 853 times. The top 5 frequently used Chinese herbal medicines were Glycyrrhizae Radix et Rhizoma， Poria， Atractylodis Macrocephalae Rhizoma， Astragali Radix， and Pinelliae Rhizoma. In terms of functions， the Chinese herbal medicines were mainly deficiency-tonifying， urination-promoting and dampness-draining， deficiency-tonifying， deficiency-tonifying， and phlegm-resolving and cough and dyspnea-relieving ones. The statistical analysis of flavor， property， and meridian tropism showed that Chinese herbal medicines were mainly bitter and sweet， warm， cold， and neutral， and acted on the spleen， lung， and stomach meridians. Association rule analysis yielded nine potential drug combinations， and cluster analysis of high-frequency drugs resulted in four combination categories. The four TCM syndromes for EC corresponded to respective clinical indications， treatment drugs， and drug pairs. ConclusionTonifying deficiency， reinforcing healthy Qi， descending adverse Qi， resolving phlegm， activating blood， and resolving stasis are the basic principles of TCM treatment for EC， which are supplemented by clearing heat and dissipating mass while focusing on regulating and smoothing the qi movement. The drug combinations obtained from high-frequency drug and association rule analysis provide references for different TCM syndrome treatments of EC， offering valuable insights for clinical medication.

Construction of clinical efficacy evaluation system based on optimal clinical experience / 中国中药杂志

Evidence-based medicine plays an important role in promoting the scientific nature of clinical decision-making. Howe-ver, there is a problem where evidence derived from clinical research may not necessarily be applicable to individual patients. Evidence-based medicine has been introduced into the field of traditional Chinese medicine(TCM) for over 20 years, and although certain achievements have been made, the overall level of clinical research evidence based on the principles of evidence-based medicine in TCM is not high. The acceptance of TCM diagnosis and treatment guidelines developed based on evidence-based medicine methods is generally low. As revealed by the analysis of the problems in the application of evidence-based medicine in the field of TCM, it is found that there is a structural contradiction between clinical randomized controlled trial(RCT) of TCM and the characteristics of TCM clinical practice. They cannot comprehensively, objectively, and truthfully reflect the clinical efficacy and safety of TCM. Conducting clinical RCTs of TCM in pursuit of "evidence" actually means giving up the advantages of TCM in clinical treatment based on syndrome differentiation, prescription changes along with syndromes, and treatment in accordance with three categories of disease cause, which leads to sacrificing some clinical effectiveness of TCM. Based on the concept of evidence-based medicine, this article proposed the construction of "clinical syndrome-based medicine" based on the optimal clinical experience, which was suitable for the characteristics of TCM clinical practice. The key to clinical syndrome-based medicine is the optimal clinical experience, and the core elements of the optimal clinical experience are regularity and reproducibility. Real-world research methods are recommended as a reference for obtaining the optimal clinical experience. Clinical syndrome-based medicine, combining the characteristics of TCM clinical practice and incorporating the concept of evidence-based medicine, is the product of integrating TCM into evidence-based medicine. It is dedicated to improving the clinical efficacy of TCM along with evidence-based medicine.

Perspective: Lumbar adhesive arachnoiditis (AA)/ Chronic AA (CAA) are clinical diagnoses that do not require radiographic confirmation.

Background: Our hypothesis was that lumbar adhesive arachnoiditis (AA)/chronic lumbar AA (CAA) are clinical diagnoses that do not require radiographic confirmation. Therefore, patients with these syndromes do not necessarily have to demonstrate significant radiographic abnormalities on myelograms, MyeloCT studies, and/or MR examinations. When present, typical AA/CAA findings may include; central or peripheral nerve root/cauda equina thickening/clumping (i.e. latter empty sac sign), arachnoid cysts, soft tissue masses in the subarachnoid space, and/or failure of nerve roots to migrate ventrally on prone MR/Myelo-CT studies. Methods: We reviewed 3 articles and 7 clinical series that involved a total of 253 patients with AA/CAA to determine whether there was a significant correlation between these clinical syndromes, and myelographic, Myelo-CT, and/or MR imaging pathology. Results: We determined that patients with the clinical diagnoses of AA/CAA do not necessarily exhibit associated radiographic abnormalities. However, a subset of patients with AA/CAA may show the classical AA/CAA findings of; central or peripheral nerve root/cauda equina thickening/clumping (empty sac sign), arachnoid cysts, soft tissue masses in the subarachnoid space, and/or failure of nerve roots to migrate ventrally on prone MR/ Myelo-CT studies. Conclusion: Patients with clinical diagnoses of AA/CAA do not necessary show associated neuroradiagnostic abnormalities on myelograms, Myelo-CT studies, or MR. Rather, the clinical syndromes of AA/CAA may exist alone without the requirement for radiolographic confirmation.

Clinical implications of the universal definition for the prevention and treatment of heart failure.

The diagnosis of heart failure (HF) primarily relies on signs and symptoms that are neither sensitive nor specific. This impedes timely diagnosis and delays effective therapies or interventions, despite the availability of several evidence-based treatments for HF. Through monumental collaborative efforts from representatives of HF societies worldwide, the universal definition of HF was published in 2021, to provide the necessary standardized framework required for clinical management, clinical trials, and research. This review elaborates the key concepts of the new universal definition of HF, highlighting the key merits and potential avenues, which can be nuanced further in future iterations. We also discuss the key implications of the universal definition document from the perspectives of various stakeholders within the healthcare framework, including patients, care providers, system/payers and policymakers.

Epidemiology of biopsy-proven glomerulonephritis in the past 25 years in the North-Eastern area of Romania.

PURPOSE: The aim of this retrospective study was: to analyze the epidemiological patterns of the kidney disease based on clinical and histological features in a single-center in the N-E region of Romania, between 2011 and 2019 and to compare the biopsy results with the others periods, as well as the results from other countries. METHODS: We studied 442 renal biopsies. The indications for renal biopsy were represented by the clinical features: nephrotic syndrome, nephritic syndrome, asymptomatic urinary abnormalities, acute kidney injury, and chronic kidney disease of unknown etiology. RESULTS: During the past 8 years, the annual incidence of renal biopsies was constant, albeit this incidence remained lower than in other countries. Nephrotic syndrome was the most common indication for renal biopsy (47.6%). Primary glomerulonephritis (GN) was the most common diagnosis in each of the three periods, followed by secondary GN. Vascular nephropathy and TIN were constant as a proportion from the overall biopsies in each of the three periods. The membranoproliferative GN (24.4%) and membranous nephropathy (MN) (21.9%) were the most prevalent primary GN, while lupus nephritis (LN) was the most common secondary glomerular disease in young female patients (7.5%). Compared to 1994-2004 period, we observed a significant decrease of incidence of focal segmental glomerulosclerosis (FSGS) and mesangial proliferative GN, and a significant increases in the frequency of MN. CONCLUSION: The results of this study show that the GN distribution model was constant in N-E Romania and became similar to that observed in many countries with high socio-economic status.

Adrenal pheochromocytoma: is it all or the tip of the iceberg?

Adrenal pheochromocytoma is not always a simple retroperitoneal tumor but may be part of a more complicated condition. It often has a spectrum of complex and variable imaging features, may present as a collision tumor and composite tumor, and is associated with a variety of clinical syndromes. A comprehensive understanding of the clinical, pathological, and variable imaging manifestations of pheochromocytoma can help radiologists make an accurate diagnosis. This article reviews various special imaging features of pheochromocytoma and pheochromocytoma-related diseases.

Animal Model Analysis of Dental Arthritis Based on Clinical Syndrome Characteristics of Traditional Chinese Medicine and Western Medicine / 中国实验方剂学杂志

In recent years， as people's diets have changed and diversified， the incidence of dental arthritis has increased year by year， seriously affecting the quality of life of patients. Therefore， the prevention and treatment of dental arthritis should be emphasized. To further study the pathogenesis of dental arthritis and the development and screening of therapeutic drugs， this paper summarized and analyzed the modeling methods， mechanisms， as well as the advantages and disadvantages of the existing animal models of dental arthritis. The clinical diagnostic criteria of traditional Chinese medicine （TCM） and western medicine was established， and the compatibility of TCM and western medicine anastomosis in animal models was evaluated. The results showed that the gel perfusion model had a good match between TCM and western medicine， with simple operation and short cycle. By combining the pathogenic factors of TCM and western medicine， the models of kidney deficiency and stomach heat with kidney deficiency in TCM were obtained， which fully reflected the clinical syndrome characteristics of TCM and western medicine， thus simulating the pathogenesis of human natural dental arthritis. Besides， ligation line model， as the most commonly-used animal model of dental arthritis with a good match to western medicine， was mature and highly repeatable， and had a high success rate. Ligation line model was widely used in various periodontal disease studies， but it did not involve the pathogenic factors of TCM. The current animal model of dental arthritis is given priority to western medicine disease model， and the combination of disease and model is rare， which cannot meet the requirements of the syndrome characteristics of TCM. Only an animal model of dental arthritis with TCM syndrome that conforms to the clinical syndrome characteristics effectively assists to study the nature of TCM syndrome and develop innovative Chinese medicine. Therefore， the establishment of an accurate and standardized animal model of dental arthritis combined with TCM and western medicine is still the focus of future study on the pathogenesis of dental arthritis. This study is intended to provide a certain basis for the discovery， screening， and evaluation of medicines for the treatment of dental arthritis.

Animal Model Analysis of Multiple Sclerosis Based on Clinical Characteristics of Traditional Chinese and Western Medicine / 中国实验方剂学杂志

Based on the clinical characteristics of multiple sclerosis （MS） in traditional Chinese medicine （TCM） and western medicine and literature analysis， this paper aims to formulate the diagnostic criteria of TCM and western medicine for MS. Moreover， the modeling methods of experimental autoimmune encephalomyelitis （EAE）， animals for the modeling， and characteristics of the models were analyzed and summarized， and the consistency between the EAE models and the diagnostic criteria of TCM and western medicine was evaluated. The results showed that animal models had low consistency with the clinical characteristics in TCM （highest consistency 68%） and western medicine （highest consistency 60%）. Pathological models account for the majority of animal models for MS research， but there is a lack of intuitive performance indicators. Thus， it is difficult to comprehensively evaluate the models. The mental state， limb numbness， lack of strength， loss of muscle tone， tremor， and balance disorders of the mice are among the diagnostic criteria in western medicine. In TCM diagnostic criteria， the major symptoms which are reflected in animal behavior， such as physical fatigue， lack of strength， mental fatigue， distinclination to talk， and weak heavy numb limbs， are consistent with the western diagnostic criteria. The minor symptoms， including mental decline， bitter taste in mouth， frequent and urgent urination， fecal incontinence， and aggravated fever， are not well reflected in the models. According to TCM， MS is caused by deficiency of kidney essence and external contraction of pathogen， but no index is available for evaluating the external contraction of pathogen in existing animal models. The key to experimental research on MS is to establish an appropriate animal model based on the clinical pathogenesis and characteristics. However， there is a lack of MS animal model with TCM characteristics for syndrome classification. Therefore， renewed efforts should be made to prepare animal models with both TCM and western medicine characteristics that can be used in both basic experiments and clinical research.

Targeting strategies for oxaliplatin-induced peripheral neuropathy: clinical syndrome, molecular basis, and drug development.

Oxaliplatin (OHP)-induced peripheral neurotoxicity (OIPN) is a severe clinical problem and potentially permanent side effect of cancer treatment. For the management of OIPN, accurate diagnosis and understanding of significant risk factors including genetic vulnerability are essential to improve knowledge regarding the prevalence and incidence of OIPN as well as enhance strategies for the prevention and treatment of OIPN. The molecular mechanisms underlying OIPN are complex, with multi-targets and various cells causing neuropathy. Furthermore, mechanisms of OIPN can reinforce each other, and combination therapies may be required for effective management. However, despite intense investigation in preclinical and clinical studies, no preventive therapies have shown significant clinical efficacy, and the established treatment for painful OIPN is limited. Duloxetine is the only agent currently recommended by the American Society of Clinical Oncology. The present article summarizes the most recent advances in the field of studies on OIPN, the overview of the clinical syndrome, molecular basis, therapy development, and outlook of future drug candidates. Importantly, closer links between clinical pain management teams and oncology will advance the effectiveness of OIPN treatment, and the continued close collaboration between preclinical and clinical research will facilitate the development of novel prevention and treatments for OIPN.

Reciprocal organ interactions during heart failure: a position paper from the ESC Working Group on Myocardial Function.

Heart failure-either with reduced or preserved ejection fraction (HFrEF/HFpEF)-is a clinical syndrome of multifactorial and gender-dependent aetiology, indicating the insufficiency of the heart to pump blood adequately to maintain blood flow to meet the body's needs. Typical symptoms commonly include shortness of breath, excessive fatigue with impaired exercise capacity, and peripheral oedema, thereby alluding to the fact that heart failure is a syndrome that affects multiple organ systems. Patients suffering from progressed heart failure have a very limited life expectancy, lower than that of numerous cancer types. In this position paper, we provide an overview regarding interactions between the heart and other organ systems, the clinical evidence, underlying mechanisms, potential available or yet-to-establish animal models to study such interactions and finally discuss potential new drug interventions to be developed in the future. Our working group suggests that more experimental research is required to understand the individual molecular mechanisms underlying heart failure and reinforces the urgency for tailored therapeutic interventions that target not only the heart but also other related affected organ systems to effectively treat heart failure as a clinical syndrome that affects and involves multiple organs.

Autoimmune rheumatic diseases: One or many diseases?

Until the etiopathogenic factor(s) of autoimmune and autoinflammatory rheumatic disorders will be identified, their classification into entities will continue. However, their similar clinical manifestations, overlapping syndromes, evolution from one entity into another, as well as common autoantibody responses, suggest that autoimmune and autoinflammatory disorders may constitute distinct pathophysiologic processes on the basis of a different genetic background. Prognosis and effective therapeutic regimens are mostly based on the clinico-pathologic severity of the involved tissues or organs and not on the disease label.

Animal Model Analysis of Acute Pancreatitis Based on Clinical Syndrome Characteristics of Traditional Chinese and Western Medicine / 中国实验方剂学杂志

This study summarized and analyzed the modeling methods， modeling mechanisms， and advantages and disadvantages of existing animal models of acute pancreatitis （AP） with the purposes of replicating animal models more in line with the clinical syndrome characteristics of traditional Chinese medicine （TCM） and Western medicine， improving the basic research of AP， and promoting its in-depth research. Further， the clinical diagnostic criteria of TCM and Western medicine were drawn up， and the agreement was evaluated between animal models of AP and clinical syndrome characteristics of TCM and Western medicine. The results demonstrated that the AP model induced by choline-deficient ethionine-supplemented diet （CDE）-supplemented diet was highly consistent with the clinical syndromes of TCM and Western medicine， which was simple in operation and small in mortality. However， the modeling did not involve the pathogenic factors of TCM. Although many approaches have been proposed to establish animal models of AP so far， most of the models meet the diagnostic criteria of Western medicine but， lacking the manifestation of TCM symptoms， less agree with the clinical syndromes of TCM. At present， animal models of AP alone are mostly used to study the pharmacodynamics and mechanisms of Chinese and Western medicines， which fail to meet the requirements of syndrome differentiation and treatment in TCM theories. Only the animal models of AP which conform to the TCM syndrome characteristics and are basically consistent with clinical syndromes greatly contribute to the essence study of TCM syndromes and the development of innovative Chinese medicines. Therefore， establishing animal models that can simultaneously reflect the clinical syndrome characteristics of AP in both TCM and Western medicine and replicating more realistic， accurate and comprehensive animal models of AP are worthy of further research.

Immunoadsorption for Treatment of Patients with Suspected Alzheimer Dementia and Agonistic Autoantibodies against Alpha1a-Adrenoceptor-Rationale and Design of the IMAD Pilot Study.

BACKGROUND: agonistic autoantibodies (agAABs) against G protein-coupled receptors (GPCR) have been linked to cardiovascular disease. In dementia patients, GPCR-agAABs against the α1- and ß2-adrenoceptors (α1AR- and ß2AR) were found at a prevalence of 50%. Elimination of agAABs by immunoadsorption (IA) was successfully applied in cardiovascular disease. The IMAD trial (Efficacy of immunoadsorption for treatment of persons with Alzheimer dementia and agonistic autoantibodies against alpha1A-adrenoceptor) investigates whether the removal of α1AR-AABs by a 5-day IA procedure has a positive effect (improvement or non-deterioration) on changes of hemodynamic, cognitive, vascular and metabolic parameters in patients with suspected Alzheimer's clinical syndrome within a one-year follow-up period. METHODS: the IMAD trial is designed as an exploratory monocentric interventional trial corresponding to a proof-of-concept phase-IIa study. If cognition capacity of eligible patients scores 19-26 in the Mini Mental State Examination (MMSE), patients are tested for the presence of agAABs by an enzyme-linked immunosorbent assay (ELISA)-based method, followed by a bioassay-based confirmation test, further screening and treatment with IA and intravenous immunoglobulin G (IgG) replacement. We aim to include 15 patients with IA/IgG and to complete follow-up data from at least 12 patients. The primary outcome parameter of the study is uncorrected mean cerebral perfusion measured in mL/min/100 gr of brain tissue determined by magnetic resonance imaging with arterial spin labeling after 12 months. CONCLUSION: IMAD is an important pilot study that will analyze whether the removal of α1AR-agAABs by immunoadsorption in α1AR-agAAB-positive patients with suspected Alzheimer's clinical syndrome may slow the progression of dementia and/or may improve vascular functional parameters.

Profiles of cognitive impairment in the continuum from normal cognition to Alzheimer's clinical syndrome: Contributions of the short-term memory binding tests.

BACKGROUND: Short-term memory binding (STMB) tests assess conjunctive binding, in which participants should remember the integration of features, such as shapes (or objects) and colors, forming a unique representation in memory. In this study, we investigated two STMB paradigms: change detection (CD) and free recall (FR). OBJECTIVE: To investigate the cognitive profile in the CD and FR tasks of three diagnostic groups: cognitively unimpaired (CU), mild cognitive impairment (MCI), and Alzheimer's clinical syndrome (ACS). In addition, we aimed to calculate and compare the accuracy of the CD and FR tasks to identify MCI and ACS. METHODS: Participants were 24 CU, 24 MCI, and 37 ACS. The cognitive scores of the clinical groups were compared using analysis of variance (ANOVA) and receiver-operating characteristic (ROC) analyses were carried out to verify the accuracy of the STMB tasks. RESULTS: In the CD task, CU was different from MCI and ACS (CU > MCI = ACS), while in the FR task all groups were different (CU > MCI > ACS). The ROC analyses showed an area under the curve (AUC) of 0.855 comparing CU with MCI for the CD task and 0.975 for the FR. The AUC comparing CU and ACS was 0.924 for the CD and 0.973 for the FR task. The FR task showed better accuracy to identify MCI patients, and the same accuracy to detect ACS. CONCLUSION: The present findings indicate that impairments in CD and FR of bound representations are features of the cognitive profiles of MCI and ACS patients.

Analysis of Animal Model of Functional Dyspepsia Based on Clinical Characteristics of Traditional Chinese Medicine and Western Medicine / 中国实验方剂学杂志

Based on the clinical characteristics of functional dyspepsia (FD), this paper analyzes and evaluates the consistency between the existing FD animal models and the clinical standards, so as to provide ideas and references for improving the FD animal model. By listing the clinical manifestations and diagnostic criteria of dyspepsia in traditional Chinese and western medicine, this paper assessed the existing animal models of functional dyspepsia, which conformed to 11.7% of the main symptoms and 5% of the secondary symptoms in clinical diagnosis criteria in western medicine, and 15% of the main symptoms and 5% of the secondary symptoms in traditional Chinese medicine（TCM）. The results showed that the high degree of anastomose was affected by "high fat feed + senna leaf decoction gavage + restraint + swimming". This method basically conformed with the clinical characteristics of FD in Chinese and western medicine. The deficiency lay in the large number of modeling factors and the lack of control, which might lead to FD model deviation. The average degree of conformity involved "gavage iodoacetamide combined with small platform station", "binding" and "tail clamping stimulation", and the low degree of conformity involved "gavage iodoacetamide" and "stomach implanted electrode". The above methods simulated the characteristics of FD, but the single factor lacked the manifestation of TCM symptoms, which needed further improvement. Therefore, multiple single factor modeling methods were combined, with focus on the development and use of TCM purgative as modeling drug, so as to control the modeling process. An attempt shall be made to develop a set of time schedule of various interference factors during the modeling period of animals, in order to constantly optimize the evaluation criteria of animal models, which is the future study direction of improving FD models.