Chaihu and Longgu Muli Decoction has demonstrated significant efficacy in the treatment of tachyarrhythmia accompanied by anxiety and depression. However, there is a lack of standardized guidelines for its clinical application. In this study, the Chaihu and Longgu Muli Decoction was investigated through extensive research on ancient and modern literature, as well as a collection of clinical medical records. The basic information, medication details, and diagnostic information from medical records, personal experience literature, and clinical cases in the treatment of tachyarrhythmia accompanied by anxiety were extracted and analyzed to preliminarily identify the prescription characteristics and syndrome patterns. Subsequently, the Delphi method was employed to construct an item pool based on the data obtained in the first step. An expert questionnaire was prepared to collect scores and revision opinions from experts regarding these items. After statistical analysis and group discussions, a second round of questionnaires was formed by screening out certain items. This process was repeated until a final item set for the treatment of tachyarrhythmia accompanied by anxiety with Chaihu and Longgu Muli Decoction was determined. These findings provided guidance for clinical prescription practices. By extracting 71 syndromes and signs, as well as 33 tongue and pulse characteristics, the main syndrome features included palpitations, chest tightness, irritability, etc., which were basically consistent with the ancient syndromes. Through frequency analysis and group discussions, 71 items were screened out. After screening, modification, and primary and secondary division, 11 main diagnostic items and 10 secondary diagnostic items were determined. On this basis, the research team believes that Chaihu and Longgu Muli Decoction is mainly indicated for the following syndromes in the treatment of tachyarrhythmia accompanied by anxiety(palpitations, poor sleep, bitter taste, dry mouth, irritability/easily angered/anxiety/fearfulness/easily startled, red tongue with greasy yellow coating, rapid pulse, high work/life pressure, tachyarrhythmia on electrocardiogram/Holter monitor, and positive results on anxiety scale). Secondary syndromes include chest tightness, shortness of breath, feeling heavy and weak in the body, sweating, poor appetite, constipation, greasy white tongue coating, wiry pulse, slippery pulse, or knotted and intermittent pulse.
Drugs, Chinese Herbal/therapeutic use* ; Humans ; Delphi Technique ; Anxiety/complications* ; Tachycardia/psychology* ; Female ; Male ; Middle Aged ; Adult ; Aged

Purpose::Cerebral edema (CE) is the main secondary injury following traumatic brain injury (TBI) caused by road traffic accidents (RTAs). It is challenging to be predicted timely. In this study, we aimed to develop a prediction model for CE by identifying its risk factors and comparing the timing of edema occurrence in TBI patients with varying levels of injuries.Methods::This case-control study included 218 patients with TBI caused by RTAs. The cohort was divided into CE and non-CE groups, according to CT results within 7 days. Demographic data, imaging data, and clinical data were collected and analyzed. Quantitative variables that follow normal distribution were presented as mean ± standard deviation, those that do not follow normal distribution were presented as median (Q 1, Q 3). Categorical variables were expressed as percentages. The Chi-square test and logistic regression analysis were used to identify risk factors for CE. Logistic curve fitting was performed to predict the time to secondary CE in TBI patients with different levels of injuries. The efficacy of the model was evaluated using the receiver operator characteristic curve. Results::According to the study, almost half (47.3%) of the patients were found to have CE. The risk factors associated with CE were bilateral frontal lobe contusion, unilateral frontal lobe contusion, cerebral contusion, subarachnoid hemorrhage, and abbreviated injury scale (AIS). The odds ratio values for these factors were 7.27 (95% confidence interval ( CI): 2.08 -25.42, p = 0.002), 2.85 (95% CI: 1.11 -7.31, p = 0.030), 2.62 (95% CI: 1.12 -6.13, p = 0.027), 2.44 (95% CI: 1.25 -4.76, p = 0.009), and 1.5 (95% CI: 1.10 -2.04, p = 0.009), respectively. We also observed that patients with mild/moderate TBI (AIS ≤ 3) had a 50% probability of developing CE 19.7 h after injury (χ 2= 13.82, adjusted R2 = 0.51), while patients with severe TBI (AIS > 3) developed CE after 12.5 h (χ 2= 18.48, adjusted R2 = 0.54). Finally, we conducted a receiver operator characteristic curve analysis of CE time, which showed an area under the curve of 0.744 and 0.672 for severe and mild/moderate TBI, respectively. Conclusion::Our study found that the onset of CE in individuals with TBI resulting from RTAs was correlated with the severity of the injury. Specifically, those with more severe injuries experienced an earlier onset of CE. These findings suggest that there is a critical time window for clinical intervention in cases of CE secondary to TBI.

Humans ; Adult ; Mucormycosis ; Leukemia, Myeloid, Acute/complications* ; Acute Disease ; Antifungal Agents

Humans ; Anemia, Aplastic ; Leukemia, Large Granular Lymphocytic/diagnosis* ; Immunophenotyping

Objective: To report gene mutations in nine patients with hereditary elliptocytosis (HE) and analyze the characteristics of pathogenic gene mutations in HE. Methods: The clinical and gene mutations of nine patients clinically diagnosed with HE at Institute of Hematology & Blood Diseases Hospital from June 2018 to February 2022 were reported and verified by next-generation sequencing to analyze the relationship between gene mutations and clinical phenotypes. Results: Erythrocyte membrane protein gene mutations were detected among nine patients with HE, including six with SPTA1 mutation, one with SPTB mutation, one with EPB41 mutation, and one with chromosome 20 copy deletion. A total of 11 gene mutation sites were involved, including 6 known mutations and 5 novel mutations. The five novel mutations included SPTA1: c.1247A>C (p. K416T) in exon 9, c.1891delG (p. A631fs*17) in exon 15, E6-E12 Del; SPTB: c.154C>T (p. R52W) ; and EPB41: c.1636A>G (p. I546V) . Three of the six patients with the SPTA1 mutation were SPTA1 exon 9 mutation. Conclusion: SPTA1 is the most common mutant gene in patients with HE.
Humans ; Mutation ; Elliptocytosis, Hereditary/metabolism* ; Erythrocyte Membrane/metabolism* ; Exons ; High-Throughput Nucleotide Sequencing ; Spherocytosis, Hereditary/metabolism*

Objective: To reveal the compensatory features of bone marrow (BM) erythropoiesis in hereditary spherocytosis (HS) and to explore the effect of diferent hemoglobin levels on this compensation. Methods: Clinical and laboratory data of patients with HS were collected, and the peripheral blood absolute reticulocytes counts value was taken as the surrogate parameter to evaluate the ability of erythropoiesis compensation. BM erythropoiesis compensation in HS with diferent degrees of anemia were evaluated. Results: ①Three hundred and two patients were enrolled, including 115 with compensated hemolytic disease, 74 with mild anemia, 90 with moderate anemia, and 23 with severe anemia. ②Hemoglobin (HGB) was negatively correlated with serum erythropoietin in the decompensated hemolytic anemia group (EPO; rs=-0.585, P<0.001) . ③The median absolute reticulocyte count (ARC) of HS patients was 0.34 (0.27, 0.44) ×10(12)/L, up to 4.25 times that of normal people. The maximum ARC was 0.81×10(12)/L, about 10 times that of normal people. The median ARC of patients with compensated hemolytic disease was 0.29 (0.22, 0.38) ×10(12)/L, up to 3.63 times that of normal people. The median ARC of patients with hemolytic anemia was 0.38 (0.30, 0.46) ×10(12)/L, which was significantly higher than the patients with compensated hemolytic disease, up to 4.75 times that of normal people (z=4.999, P=0.003) . ④ ARC was negatively correlated with HGB in the compensated hemolytic disease group (rs=-0.177, P=0.002) and positively correlated with HGB in the decompensated hemolytic anemia group (rs=0.191, P=0.009) . There was no significant difference in the ARC among patients with mild, moderate, and severe anemia (χ(2)=4.588, P=0.101) . ⑤The median immature reticulocyte production index of the mild, moderate, and severe anemia groups was 13.1% (9.1%, 18.4%) , 17.0% (13.4%, 20.8%) , and 17.8% (14.6%, 21.8%) , respectively; the mild anemia group had lower index values than the moderate and severe anemia groups (P(adj) values were both<0.05) , but there was no significant difference between the latter groups (P(adj)=1.000) . The median immature reticulocyte count of patients in the mild, moderate, and severe groups was 5.09 (2.60, 7.74) ×10(10)/L, 6.24 (4.34, 8.83) ×10(10)/L, and 7.00 (3.07, 8.22) ×10(10)/L, respectively; there was no significant difference among the groups (χ(2)=3.081, P=0.214) . Conclusion: HGB can be maintained at a normal level through bone marrow erythropoiesis, while red blood cells are reduced in HS. However, once anemia develops, the bone marrow exerts its maximum erythropoiesis capacity and does not increase, regardless of anemia aggravation or serum EPO increase.
Bone Marrow ; Erythropoiesis ; Humans ; Reticulocyte Count ; Reticulocytes ; Spherocytosis, Hereditary

Anemia, Aplastic ; Bone Marrow Diseases ; Bone Marrow Failure Disorders ; Humans ; Pancytopenia

Objective: To reassess the predictors for response at 6 months in patients with severe or very severe aplastic anemia (SAA/VSAA) who failed to respond to immunosuppressive therapy (IST) at 3 months. Methods: We retrospectively analyzed the clinical data of 173 patients with SAA/VSAA from 2017 to 2018 who received IST and were classified as nonresponders at 3 months. Univariate and multivariate logistic regression analysis were used to evaluate factors that could predict the response at 6 months. Results: Univariate analysis showed that the 3-month hemoglobin (HGB) level (P=0.017) , platelet (PLT) level (P=0.005) , absolute reticulocyte count (ARC) (P<0.001) , trough cyclosporine concentration (CsA-C0) (P=0.042) , soluble transferrin receptor (sTfR) level (P=0.003) , improved value of reticulocyte count (ARC(△)) (P<0.001) , and improved value of soluble transferrin receptor (sTfR(△)) level (P<0.001) were related to the 6-month response. The results of the multivariate analysis showed that the PLT level (P=0.020) and ARC(△) (P<0.001) were independent prognostic factors for response at 6 months. If the ARC(△) was less than 6.9×10(9)/L, the 6-month hematological response rate was low, regardless of the patient's PLT count. Survival analysis showed that both the 3-year overall survival (OS) [ (80.1±3.9) % vs (97.6±2.6) %, P=0.002] and 3-year event-free survival (EFS) [ (31.4±4.5) % vs (86.5±5.3) %, P<0.001] of the nonresponders at 6 months were significantly lower than those of the response group. Conclusion: Residual hematopoietic indicators at 3 months after IST are prognostic parameters. The improved value of the reticulocyte count could reflect whether the bone marrow hematopoiesis is recovering and the degree of recovery. A second treatment could be performed sooner for patients with a very low ARC(△).
Anemia, Aplastic/drug therapy* ; Antilymphocyte Serum/therapeutic use* ; Cyclosporine/therapeutic use* ; Humans ; Immunosuppression Therapy ; Immunosuppressive Agents/therapeutic use* ; Prognosis ; Receptors, Transferrin/therapeutic use* ; Retrospective Studies ; Treatment Outcome

Objective: To study the metabolic characteristics of anti-human T-cell porcine immunoglobulin (p-ATG) in patients with severe aplastic anemia (SAA) . Methods: For patients with SAA treated with p-ATG combined cyclosporine A (CsA) immunosuppressants between February 2017 and December 2017, the p-ATG dose was 20 mg·kg(-1)·d(-1) over 12 h of intravenous administration for 5 consecutive days. The blood concentration of p-ATG was detected by the three-antibody sandwich ELISA method, the pharmacokinetic analysis software was fitted, and the second-chamber model method was used to calculate the pharmacokinetic parameters and plot the pharmacokinetic curve. Adverse events were recorded and the hematologic reactions were determined at 6 months after treatment. Results: Sixteen patients with SAA treated with p-ATG were enrolled, including 8 females and 8 males, with a median age of 22 years (range, 12 to 49 years) and a median weight of 62.5 kg (range, 37.5 to 82.0 kg) . The pharmacokinetics of p-ATG could be evaluated in 14 cases. p-ATG is distributed in vivo as a two-chamber model, with an average drug concentration peak (T(max)) of (5.786±2.486) days, a peak concentration (C(max)) of (616±452) mg/L, and a half-life of (10.479±8.242) days. The area under the drug time curve (AUC) was (5.807±3.236) mg/L·d. Six months after treatment, 8 of 14 patients received a hematologic response; the AUC (0-t) of the effective group and ineffective groups was (7.50±3.26) mg/L·d vs (4.50±2.18) mg/L·d, and the C(max) was (627±476) mg/L vs (584±382) mg/L, respectively. Conclusion: The plasma concentration of p-ATG reached a peak after 5 days of continuous infusion, and then decreased slowly, with a half-life of 10.479 days, and the residual drug concentration was detected in the body 60 days after administration. A relationship between drug metabolism and efficacy and adverse reactions could not be determined.
Anemia, Aplastic/drug therapy* ; Animals ; Antilymphocyte Serum/therapeutic use* ; Cyclosporine/therapeutic use* ; Female ; Humans ; Immunoglobulins/therapeutic use* ; Immunosuppression Therapy ; Immunosuppressive Agents/therapeutic use* ; Male ; Swine ; T-Lymphocytes ; Treatment Outcome

OBJECTIVE: To explore the relationship between the change of lymphocyte subsets before and after immunosuppressive therapy (IST) with disease severity of severe aplastic anemia (SAA) and hematologic response to IST. METHODS: The clinical data of 94 patients with SAA/VSAA treated by r-ATG and CsA in our hospital from December 2009 to October 2011 was analyzed retrospectively. Among them, 26 patients who had sequential data of lymphocyte subsets and cytokines before and after treatment were enrolled. The relationship between lymphocyte subsets, cytokine level before IST and disease severity, as well as the relationship between changes if lymphocyte subsets, changes of cytokine and the HR after IST for 6 months was analyzed. RESULTS: There were no statistical differences in the ratio and absolute count of lymphocyte, the ratio and absolute count of each lymphocyte subsets, including CD3 CONCLUSION The hematopoietic recovery and early hematologic remission may be affected by the intensity of immune suppression reflected from the changes of lymphocyte subsets and the immune reconstruction reflected from the recovery of lymphocyte subsets. The immune reconstruction is most significant within 3 months after IST.
Anemia, Aplastic ; Humans ; Immunosuppression ; Immunosuppressive Agents/therapeutic use* ; Lymphocyte Subsets ; Retrospective Studies