Houpo Qiwutang originated from the Synopsis of the Golden Chamber， and it consists of seven medicines： Magnoliae Officinalis Cortex， Rhei Radix et Rhizoma， Aurantii Fructus Immaturus， Cinnamomi Ramulus， Zingiberis Rhizoma Recens， Glycyrrhizae Radix et Rhizoma， and Jujubae Fructus. It is a basic formula for the treatment of abdominal fullness. Through the bibliometric method， the historical history， drug base， preparation and dosage， decoction method， and ancient and modern applications of Houpu Qiwu Tang were analyzed by means of textual research. The research finds that Houpu Qiwu Tang has been passed down through the generations in an orderly manner with fewer changes. The drug base of this formula is basically clear， and the base of Magnoliae Officinalis Cortex， Rhei Radix et Rhizoma， Cinnamomi Ramulus， Zingiberis Rhizoma Recens， and Jujubae Fructus is consistent with the 2020 edition of Chinese Pharmacopoeia. The mainstream base of Aurantii Fructus Immaturus is the dried young fruit of Citrus aurantium of Rutaceae family， and the historical mainstream base of Glycyrrhizae Radix et Rhizoma is the dried root of Glycyrrhiza uralensis of Leguminosae family. The modern dosage of this formula is 110.40 g of Magnoliae Officinalis Cortex， 41.40 g of Rhei Radix et Rhizoma， 69 g of Aurantii Fructus Immaturus， 27.60 g of Cinnamomi Ramulus， 69 g of Zingiberis Rhizoma Recens， 41.40 g of Glycyrrhizae Radix et Rhizoma， and 30 g of Jujubae Fructus. In addition， the decoction method is to add 2 000 mL of water with the above seven flavors of the medicine， boil it to 800 mL， and then take 160 mL in a warm state each time. The amount of the medicine taken for each time is 22.08 g of Magnoliae Officinalis Cortex， 8.28 g of Rhei Radix et Rhizoma， 13.80 g of Aurantii Fructus Immaturus， 5.52 g of Cinnamomi Ramulus， 13.80 g of Zingiberis Rhizoma Recens， 8.28 g of Glycyrrhizae Radix et Rhizoma， and 6 g of Jujubae Fructus. The modern application of this formula involves the digestive system， respiratory system， and urinary system. It is more advantageous in digestive system diseases such as early postoperative inflammatory bowel obstruction， functional dyspepsia， gastric pain， functional abdominal distension， and gastric reflux esophagitis. By comprehensively examining the key information of Houpu Qiwu Tang， this paper aims to provide literature support for the development and clinical application of this formula.

Objective To observe the value of whole-brain CT perfusion(CTP)parameters at different time and clinical data for predicting delayed cerebral ischemia(DCI)and 3-month poor prognosis in patients with aneurysmal subarachnoid hemorrhage(aSAH).Methods Totally 127 aSAH patients were retrospectively enrolled.Clinical and CTP data within 24 h of symptom onset and during DCI time window(DCITW)were collected.The patients were divided into DCI group(n=34)and non-DCI group(n=93)based on DCI occurred or not during hospitalization,also into poor outcome group(modified Rankin scale[mRS]≥3,n=36)and good outcome group(mRS≤2)based on 3-month's follow-up.Multivariate logistic regression was performed to select independent predictive factors among variates being significantly different between groups.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive performance of logistic regression model.Results Patients'age,modified Fisher score(mFS),subarachnoid hemorrhage early brain edema score(SEBES)and mean flow extraction product(mFEP)within 24 h of onset were all identified as independent predictive factors of DCI,and the AUC of their combination for predicting DCI during hospitalization was 0.817.Patients' age and mFS within 24 h of onset,alternatively,World Federation of Neurosurgical Societies(WFNS)grade and mFEP during DCITW were all independent predictive predictors of 3 months' prognosis,and the combination of the latter two showed better predictive performance(AUC=0.922)tahn the former two(AUC=0.822,P＜0.05).Conclusion Whole-brain CTP parameters combined with clinical data within 24 h of onset of aSAH could be used to predict the occurrence of DCI during hospitalization,whole-brain CTP parameters during DCITW could be used to predict 3 months'poor prognosis.

Objective To observe the value of whole-brain CT perfusion(CTP)parameters at different time and clinical data for predicting delayed cerebral ischemia(DCI)and 3-month poor prognosis in patients with aneurysmal subarachnoid hemorrhage(aSAH).Methods Totally 127 aSAH patients were retrospectively enrolled.Clinical and CTP data within 24 h of symptom onset and during DCI time window(DCITW)were collected.The patients were divided into DCI group(n=34)and non-DCI group(n=93)based on DCI occurred or not during hospitalization,also into poor outcome group(modified Rankin scale[mRS]≥3,n=36)and good outcome group(mRS≤2)based on 3-month's follow-up.Multivariate logistic regression was performed to select independent predictive factors among variates being significantly different between groups.Then receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the predictive performance of logistic regression model.Results Patients'age,modified Fisher score(mFS),subarachnoid hemorrhage early brain edema score(SEBES)and mean flow extraction product(mFEP)within 24 h of onset were all identified as independent predictive factors of DCI,and the AUC of their combination for predicting DCI during hospitalization was 0.817.Patients' age and mFS within 24 h of onset,alternatively,World Federation of Neurosurgical Societies(WFNS)grade and mFEP during DCITW were all independent predictive predictors of 3 months' prognosis,and the combination of the latter two showed better predictive performance(AUC=0.922)tahn the former two(AUC=0.822,P＜0.05).Conclusion Whole-brain CTP parameters combined with clinical data within 24 h of onset of aSAH could be used to predict the occurrence of DCI during hospitalization,whole-brain CTP parameters during DCITW could be used to predict 3 months'poor prognosis.

Objective:To explore the role of metagenomic next-generation sequencing (mNGS) in the diagnosis of pathogens in primary infectious diseases of the spine (IDS) and to reveal its pathogen spectrum.Methods:This is a retrospective multi-center case series study. Clinical data of 380 patients with primary IDS who were treated at four medical centers in China from December 2019 to April 2024 were retrospectively analyzed. Among them, 82 cases were from the Department of Spine Surgery at the Affiliated Hospital of Qingdao University, 129 cases were from the Orthopedics Section Ⅱ (Bone Infection), Public Health Clinical Center Affiliated to Shandong University, 112 cases were from the Department of Spine Surgery, Fuzhou Second General Hospital, and 57 cases were from the Department of Orthopedic Surgery, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. There were 238 males and 242 females, with an age of (61.4±13.1) years (range: 10 to 91 years). Specimens from the site of spinal infection were obtained for pathogen culture, pathological examination, and mNGS detection preoperatively or intraoperatively in all patients. The number, types, and positive rates of pathogens detected by the two methods were analyzed and compared using the Chi-square test.Results:Among the 380 patients, 320 had confirmed pathogenic bacteria, with the highest proportion being pyogenic bacterial infections, accounting for 76.9% (246/320). The most common pathogen was Staphylococcus aureus, accounting for 22.8% (73/320). Brucella accounted for 13.8% (44/320); Mycobacterium tuberculosis accounted for 6.3% (20/320). Fungal infections accounted for 3.4% (11/320), mainly Aspergillus and Candida. In addition, Mycoplasma was detected in 3 cases (0.9%) and Benacox body in 4 cases (1.2%). The pathogen spectrum constructed by mNGS covered 46 types of pathogens, higher than the 22 types detected by traditional methods. The positive rate of mNGS was 80.8% (308/381), significantly higher than the 27.9% (106/381) of traditional methods ( χ2=182.53, P<0.01). Conclusions:mNGS improves the positive rate of pathogen diagnosis in IDS, detecting a broader spectrum of pathogens, and serves as a valuable complement to traditional diagnostic methods. Combining both methods in the diagnosis of IDS can maximize detection rates, providing robust evidence for precise anti-infective treatment.

Background::Studies have found that the ratio of total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) was associated with the development of chronic kidney disease (CKD). However, the relationship in different genders was rarely discussed. The aim of this study was to explore this relationship and assess its predictive power for both males and females.Methods::Based on a prospective cohort platform in northwest China, 32,351 participants without CKD were collected in the baseline and followed up for approximately 5 years. Cox proportional hazard model and restricted cubic spline regression analysis were performed to investigate the association between TC, HDL-C, TC/HDL-C and CKD in adult female and male. The clinical application value of the indicators in predicting CKD was evaluated by the receiver operator characteristic curve.Results::During a mean follow-up of 2.2 years, 484 males and 164 females developed CKD. After adjusted for relevant confounders, for every one standard deviation increase in TC, HDL-C and TC/HDL-C, the hazard ratios (HRs) and 95% confidence intervals (95% CIs) for CKD were 1.17 (1.05-1.31), 0.84 (0.71-0.99), and 1.15 (1.06-1.25) for males, 0.94 (0.78-1.13), 0.58 (0.35-0.95), and 1.19 (1.01-1.40) for females, respectively. The results also showed that TC, HDL-C, and TC/HDL-C were associated with CKD in a linear dose-response relationship. The TC/HDL-C had the largest area under the curve (AUC) compared to TC and HDL-C, and the AUC among the females was larger than that among males.Conclusions::The TC/HDL-C was significantly associated with CKD in adult males and females and has better clinical value in predicting CKD than TC and HDL-C, especially in females.

Objective:To explore the role of metagenomic next-generation sequencing (mNGS) in the diagnosis of pathogens in primary infectious diseases of the spine (IDS) and to reveal its pathogen spectrum.Methods:This is a retrospective multi-center case series study. Clinical data of 380 patients with primary IDS who were treated at four medical centers in China from December 2019 to April 2024 were retrospectively analyzed. Among them, 82 cases were from the Department of Spine Surgery at the Affiliated Hospital of Qingdao University, 129 cases were from the Orthopedics Section Ⅱ (Bone Infection), Public Health Clinical Center Affiliated to Shandong University, 112 cases were from the Department of Spine Surgery, Fuzhou Second General Hospital, and 57 cases were from the Department of Orthopedic Surgery, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine. There were 238 males and 242 females, with an age of (61.4±13.1) years (range: 10 to 91 years). Specimens from the site of spinal infection were obtained for pathogen culture, pathological examination, and mNGS detection preoperatively or intraoperatively in all patients. The number, types, and positive rates of pathogens detected by the two methods were analyzed and compared using the Chi-square test.Results:Among the 380 patients, 320 had confirmed pathogenic bacteria, with the highest proportion being pyogenic bacterial infections, accounting for 76.9% (246/320). The most common pathogen was Staphylococcus aureus, accounting for 22.8% (73/320). Brucella accounted for 13.8% (44/320); Mycobacterium tuberculosis accounted for 6.3% (20/320). Fungal infections accounted for 3.4% (11/320), mainly Aspergillus and Candida. In addition, Mycoplasma was detected in 3 cases (0.9%) and Benacox body in 4 cases (1.2%). The pathogen spectrum constructed by mNGS covered 46 types of pathogens, higher than the 22 types detected by traditional methods. The positive rate of mNGS was 80.8% (308/381), significantly higher than the 27.9% (106/381) of traditional methods ( χ2=182.53, P<0.01). Conclusions:mNGS improves the positive rate of pathogen diagnosis in IDS, detecting a broader spectrum of pathogens, and serves as a valuable complement to traditional diagnostic methods. Combining both methods in the diagnosis of IDS can maximize detection rates, providing robust evidence for precise anti-infective treatment.

Objective Previous studies on the association between lipid profiles and chronic kidney disease(CKD)have yielded inconsistent results and no defined thresholds for blood lipids. Methods A prospective cohort study including 32,351 subjects who completed baseline and follow-up surveys over 5 years was conducted.Restricted cubic splines and Cox models were used to examine the association between the lipid profiles and CKD.A regression discontinuity design was used to determine the cutoff value of lipid profiles that was significantly associated with increased the risk of CKD. Results Over a median follow-up time of 2.2(0.5,4.2)years,648(2.00%)subjects developed CKD.The lipid profiles that were significantly and linearly related to CKD included total cholesterol(TC),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),TC/HDL-C,and TG/HDL-C,whereas low-density lipoprotein cholesterol(LDL-C)and LDL-C/HDL-C were nonlinearly correlated with CKD.TC,TG,TC/HDL-C,and TG/HDL-C showed an upward jump at the cutoff value,increasing the risk of CKD by 0.90%,1.50%,2.30%,and 1.60%,respectively,whereas HDL-C showed a downward jump at the cutoff value,reducing this risk by 1.0%.Female and participants with dyslipidemia had a higher risk of CKD,while the cutoff values for the different characteristics of the population were different. Conclusion There was a significant association between lipid profiles and CKD in a prospective cohort from Northwest China,while TG,TC/HDL-C,and TG/HDL-C showed a stronger risk association.The specific cutoff values of lipid profiles may provide a clinical reference for screening or diagnosing CKD risk.

Background::Studies have found that the ratio of total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) was associated with the development of chronic kidney disease (CKD). However, the relationship in different genders was rarely discussed. The aim of this study was to explore this relationship and assess its predictive power for both males and females.Methods::Based on a prospective cohort platform in northwest China, 32,351 participants without CKD were collected in the baseline and followed up for approximately 5 years. Cox proportional hazard model and restricted cubic spline regression analysis were performed to investigate the association between TC, HDL-C, TC/HDL-C and CKD in adult female and male. The clinical application value of the indicators in predicting CKD was evaluated by the receiver operator characteristic curve.Results::During a mean follow-up of 2.2 years, 484 males and 164 females developed CKD. After adjusted for relevant confounders, for every one standard deviation increase in TC, HDL-C and TC/HDL-C, the hazard ratios (HRs) and 95% confidence intervals (95% CIs) for CKD were 1.17 (1.05-1.31), 0.84 (0.71-0.99), and 1.15 (1.06-1.25) for males, 0.94 (0.78-1.13), 0.58 (0.35-0.95), and 1.19 (1.01-1.40) for females, respectively. The results also showed that TC, HDL-C, and TC/HDL-C were associated with CKD in a linear dose-response relationship. The TC/HDL-C had the largest area under the curve (AUC) compared to TC and HDL-C, and the AUC among the females was larger than that among males.Conclusions::The TC/HDL-C was significantly associated with CKD in adult males and females and has better clinical value in predicting CKD than TC and HDL-C, especially in females.

Objective:To investigate and analyze the status quo of death cognition and hospice care attitude of clinical medical graduate students, to compare the differences between the two groups, and to explore the correlation between death cognition and hospice care attitude, so as to provide the reference for the reform and construction of death cognition and hospice care education in medical colleges and universities in China.Methods:A survey was carried out on 496 doctoral and postgraduate students majoring in clinical medicine by using the "Questionnaire of General Sociology Survey", the Chinese version of the "Death Attitude Profile Revised Scale", and the Chinese version of the "Frommelt Attitudes Toward Care of the Dying Scale Form B (FATCOD-B)" to investigate the death cognition and hospice care attitude of 496 doctoral and postgraduate students majoring in clinical medicine, and classified and compared the survey results of the two groups. The results of this study were statistically analyzed by t-test, Pearson correlation analysis and other statistical methods. Results:A total of 469 valid questionnaires were recovered after excluding 27 unqualified questionnaires. Statistical analysis showed that the scores of each dimension in the death attitude description scale of doctoral students were ranked as follows: approach acceptance (4.28±0.53), neutral acceptance (3.99±0.41), death avoidance (2.74±0.63), fear of death (2.65±0.57) and escape acceptance (2.47±0.69) the scores of postgraduates were ranked as neutral acceptance (3.96±0.52), approach acceptance (2.84±0.61), fear of death (2.78±0.65), death escape (2.62±0.73), escape acceptance (2.39±0.77). At the same time, the scores of hospice care attitude in the doctoral group were higher than those in the master group [(110.63±8.96) vs. (106.78±6.52)], and the difference was statistically significant ( P<0.001). In addition, the scores of "fear of death" and the scores of hospice care attitudes were negatively correlated with the scores of doctoral and master students ( r=-0.25, r=-0.21), while the scores of hospice care attitudes were positively correlated with the scores of "neutral acceptance" in death cognition ( r=0.50, r=0.32). However, the hospice care attitude scores of doctoral students were negatively correlated with the "death avoidance" scores in death cognition ( r=-0.27). Conclusion:Doctoral and postgraduate students have a certain awareness of hospice care, while their death cognition and hospice care attitude still need to be improved and strengthened from sociology, psychology, ethics and other perspectives. The above will promote the harmony between doctors and patients while meeting the needs of an aging society in China.

Purpose: This study was performed to analyze the rule of confluence of the caudate lobe bile duct (CLD) into the left hepatic duct (LHD) and to discuss the protective strategy during left hemihepatectomy. Methods: MRI of 400 patients and T-tube angiography images of 100 patients were collected, and the imaging rules of the confluence of the CLD into the LHD were summarized. The clinical data of 33 patients who underwent left hemihepatectomy using the protective strategy were analyzed. Results: MRI and T-tube angiography images showed that the length from the confluence point of the CLD into the LHD to the confluence of the left and right hepatic ducts was 1.19 ± 0.40 cm and 1.26 ± 0.39 cm, respectively. The average angle between the longitudinal axis of the 2 bile ducts was 68.27° ± 22.59° and 66.58 ± 22.88°, respectively. Coronal and cross-sectional images showed that inflow from the foot side to the cranial side was noted in 79.8% and 82.0% of patients, respectively, and inflow from the dorsal to the ventral side was observed in 84.5% and 88.0%, respectively. Based on these imaging rules, the safe transection length and plane were summarized, and the CLD was effectively protected in 33 cases of left hemihepatectomy. Conclusion In left hemihepatectomy, the LHD should be transected at least 1.5 cm away from the confluence of the left and right hepatic ducts, and the plane of transection should be oblique to the dorsal side at an angle of 45° with the LHD, these parameters represent an effective strategy to protect the CLD.